From c6359123040023e0dac37ff73b2d3719302a2a74 Mon Sep 17 00:00:00 2001
From: firecoperana <firecoperana>
Date: Sat, 23 Aug 2025 08:37:37 -0500
Subject: [PATCH 01/15] Tool calls support from mainline

---
 CMakeLists.txt                                |    1 +
 common/CMakeLists.txt                         |   47 +-
 common/chat-parser.cpp                        |  537 ++--
 common/chat-parser.h                          |  117 +-
 common/chat-template.hpp                      |  249 --
 common/chat.cpp                               | 2311 +++++++++++++++--
 common/chat.h                                 |  169 +-
 common/common.cpp                             |  471 ++--
 common/common.h                               |  160 +-
 common/grammar-parser.cpp                     |    7 +-
 common/grammar-parser.h                       |    1 +
 common/json-partial.cpp                       |   13 +-
 common/json-partial.h                         |    3 +-
 common/json-schema-to-grammar.cpp             |   37 +-
 common/json-schema-to-grammar.h               |   15 +-
 common/llguidance.cpp                         |  270 ++
 common/log.h                                  |    1 -
 common/minja/chat-template.hpp                |  549 ++++
 common/{ => minja}/minja.hpp                  |  133 +-
 common/regex-partial.cpp                      |    2 +-
 common/regex-partial.h                        |   19 +-
 common/sampling.cpp                           |  176 +-
 common/sampling.h                             |   32 +-
 common/speculative.cpp                        |    4 +-
 docs/function-calling.md                      |  422 +++
 docs/llguidance.md                            |   51 +
 examples/infill/infill.cpp                    |    2 +-
 examples/json_schema_to_grammar.py            |    2 +-
 examples/main/main.cpp                        |   29 +-
 examples/parallel/parallel.cpp                |    2 +-
 examples/server/README.md                     |  102 +-
 examples/server/public/index.html.gz          |  Bin 1292695 -> 1292778 bytes
 examples/server/server.cpp                    | 1026 +++++---
 examples/server/utils.hpp                     |  438 ++--
 examples/server/webui/dist/index.html         |   86 +-
 .../webui/src/components/ChatMessage.tsx      |    8 +-
 .../server/webui/src/utils/app.context.tsx    |    3 +-
 examples/server/webui/src/utils/misc.ts       |   13 +-
 include/llama.h                               |   54 +
 ...reForAI-c4ai-command-r-plus-tool_use.jinja |  202 ++
 ...AI-c4ai-command-r7b-12-2024-tool_use.jinja |  156 ++
 ...rch-Hermes-2-Pro-Llama-3-8B-tool_use.jinja |  152 ++
 ...earch-Hermes-3-Llama-3.1-8B-tool_use.jinja |  152 ++
 models/templates/Qwen-QwQ-32B.jinja           |   62 +
 .../templates/Qwen-Qwen2.5-7B-Instruct.jinja  |   54 +
 models/templates/Qwen-Qwen3-0.6B.jinja        |   85 +
 models/templates/README.md                    |   25 +
 ...seek-ai-DeepSeek-R1-Distill-Llama-8B.jinja |    1 +
 ...seek-ai-DeepSeek-R1-Distill-Qwen-32B.jinja |    1 +
 ...fireworks-ai-llama-3-firefunction-v2.jinja |   57 +
 models/templates/google-gemma-2-2b-it.jinja   |    4 +
 .../ibm-granite-granite-3.3-2B-Instruct.jinja |   59 +
 models/templates/llama-cpp-deepseek-r1.jinja  |   76 +
 models/templates/llama-cpp-rwkv-world.jinja   |   34 +
 .../meetkai-functionary-medium-v3.1.jinja     |   58 +
 .../meetkai-functionary-medium-v3.2.jinja     |  287 ++
 .../meta-llama-Llama-3.1-8B-Instruct.jinja    |  109 +
 .../meta-llama-Llama-3.2-3B-Instruct.jinja    |   93 +
 .../meta-llama-Llama-3.3-70B-Instruct.jinja   |  109 +
 .../microsoft-Phi-3.5-mini-instruct.jinja     |    8 +
 ...mistralai-Mistral-Nemo-Instruct-2407.jinja |   87 +
 models/templates/moonshotai-Kimi-K2.jinja     |   43 +
 models/templates/openai-gpt-oss-120b.jinja    |  331 +++
 .../unsloth-mistral-Devstral-Small-2507.jinja |  105 +
 requirements.txt                              |    1 +
 requirements/requirements-all.txt             |    1 +
 requirements/requirements-tool_bench.txt      |   12 +
 scripts/fetch_server_test_models.py           |  105 +
 scripts/get_hf_chat_template.py               |   11 +-
 scripts/tool_bench.py                         |  379 +++
 scripts/tool_bench.sh                         |   66 +
 src/llama-grammar.cpp                         |  924 ++++++-
 src/llama-grammar.h                           |   81 +-
 src/llama-impl.h                              |    1 +
 src/llama-sampling.cpp                        |  172 ++
 src/llama-vocab.h                             |    3 +
 src/llama.cpp                                 |   18 +
 tests/CMakeLists.txt                          |   90 +-
 tests/test-chat-parser.cpp                    |  355 +++
 tests/test-chat-template.cpp                  |   18 +-
 tests/test-chat.cpp                           | 1707 ++++++++++++
 tests/test-grammar-integration.cpp            |    2 +-
 tests/test-grammar-llguidance.cpp             | 1140 ++++++++
 tests/test-json-partial.cpp                   |  237 ++
 tests/test-json-schema-to-grammar.cpp         |    2 +-
 tests/test-regex-partial.cpp                  |  288 ++
 .../server/tests/unit/test_chat_completion.py |  335 +++
 tools/server/tests/unit/test_completion.py    |  464 ++++
 tools/server/tests/unit/test_template.py      |   83 +
 tools/server/tests/unit/test_tool_call.py     |  623 +++++
 tools/server/tests/utils.py                   |  564 ++++
 91 files changed, 15466 insertions(+), 2128 deletions(-)
 delete mode 100644 common/chat-template.hpp
 create mode 100644 common/llguidance.cpp
 create mode 100644 common/minja/chat-template.hpp
 rename common/{ => minja}/minja.hpp (98%)
 create mode 100644 docs/function-calling.md
 create mode 100644 docs/llguidance.md
 create mode 100644 models/templates/CohereForAI-c4ai-command-r-plus-tool_use.jinja
 create mode 100644 models/templates/CohereForAI-c4ai-command-r7b-12-2024-tool_use.jinja
 create mode 100644 models/templates/NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use.jinja
 create mode 100644 models/templates/NousResearch-Hermes-3-Llama-3.1-8B-tool_use.jinja
 create mode 100644 models/templates/Qwen-QwQ-32B.jinja
 create mode 100644 models/templates/Qwen-Qwen2.5-7B-Instruct.jinja
 create mode 100644 models/templates/Qwen-Qwen3-0.6B.jinja
 create mode 100644 models/templates/README.md
 create mode 100644 models/templates/deepseek-ai-DeepSeek-R1-Distill-Llama-8B.jinja
 create mode 100644 models/templates/deepseek-ai-DeepSeek-R1-Distill-Qwen-32B.jinja
 create mode 100644 models/templates/fireworks-ai-llama-3-firefunction-v2.jinja
 create mode 100644 models/templates/google-gemma-2-2b-it.jinja
 create mode 100644 models/templates/ibm-granite-granite-3.3-2B-Instruct.jinja
 create mode 100644 models/templates/llama-cpp-deepseek-r1.jinja
 create mode 100644 models/templates/llama-cpp-rwkv-world.jinja
 create mode 100644 models/templates/meetkai-functionary-medium-v3.1.jinja
 create mode 100644 models/templates/meetkai-functionary-medium-v3.2.jinja
 create mode 100644 models/templates/meta-llama-Llama-3.1-8B-Instruct.jinja
 create mode 100644 models/templates/meta-llama-Llama-3.2-3B-Instruct.jinja
 create mode 100644 models/templates/meta-llama-Llama-3.3-70B-Instruct.jinja
 create mode 100644 models/templates/microsoft-Phi-3.5-mini-instruct.jinja
 create mode 100644 models/templates/mistralai-Mistral-Nemo-Instruct-2407.jinja
 create mode 100644 models/templates/moonshotai-Kimi-K2.jinja
 create mode 100644 models/templates/openai-gpt-oss-120b.jinja
 create mode 100644 models/templates/unsloth-mistral-Devstral-Small-2507.jinja
 create mode 100644 requirements/requirements-tool_bench.txt
 create mode 100755 scripts/fetch_server_test_models.py
 create mode 100755 scripts/tool_bench.py
 create mode 100755 scripts/tool_bench.sh
 create mode 100644 tests/test-chat-parser.cpp
 create mode 100644 tests/test-chat.cpp
 create mode 100644 tests/test-grammar-llguidance.cpp
 create mode 100644 tests/test-json-partial.cpp
 create mode 100644 tests/test-regex-partial.cpp
 create mode 100644 tools/server/tests/unit/test_chat_completion.py
 create mode 100644 tools/server/tests/unit/test_completion.py
 create mode 100644 tools/server/tests/unit/test_template.py
 create mode 100755 tools/server/tests/unit/test_tool_call.py
 create mode 100644 tools/server/tests/utils.py

diff --git a/CMakeLists.txt b/CMakeLists.txt
index edb9e6570..bbb2c991b 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -83,6 +83,7 @@ option(LLAMA_BUILD_SERVER   "llama: build server example" ${LLAMA_STANDALONE})
 
 # 3rd party libs
 option(LLAMA_CURL "llama: use libcurl to download model from an URL" OFF)
+option(LLAMA_LLGUIDANCE "llama-common: include LLGuidance library for structured output in common utils" OFF)
 
 # Required for relocatable CMake package
 include(${CMAKE_CURRENT_SOURCE_DIR}/cmake/build-info.cmake)
diff --git a/common/CMakeLists.txt b/common/CMakeLists.txt
index 77fe2b34d..99f752e95 100644
--- a/common/CMakeLists.txt
+++ b/common/CMakeLists.txt
@@ -52,17 +52,13 @@ set(TARGET common)
 
 add_library(${TARGET} STATIC
     base64.hpp
-    chat-template.hpp
-    common.h
+    chat.cpp
+    chat.h
+    chat-parser.cpp
+    chat-parser.h
     common.cpp
     chat.h
     chat.cpp
-    chat-parser.h
-    chat-parser.cpp
-    json-partial.h
-    json-partial.cpp
-    regex-partial.h
-    regex-partial.cpp
     sampling.h
     sampling.cpp
     console.h
@@ -70,13 +66,19 @@ add_library(${TARGET} STATIC
     grammar-parser.h
     grammar-parser.cpp
     json.hpp
+    json-partial.h
+    json-partial.cpp
+    llguidance.cpp
     json-schema-to-grammar.cpp
     train.h
     train.cpp
-    minja.hpp
+    minja/chat-template.hpp
+    minja/minja.hpp
     ngram-cache.h
     ngram-cache.cpp
     speculative.cpp
+    regex-partial.cpp
+    regex-partial.h
     )
 
 if (BUILD_SHARED_LIBS)
@@ -94,6 +96,33 @@ if (LLAMA_CURL)
     set(LLAMA_COMMON_EXTRA_LIBS ${LLAMA_COMMON_EXTRA_LIBS} ${CURL_LIBRARY})
 endif ()
 
+if (LLAMA_LLGUIDANCE)
+    include(ExternalProject)
+    set(LLGUIDANCE_SRC ${CMAKE_BINARY_DIR}/llguidance/source)
+    set(LLGUIDANCE_PATH ${LLGUIDANCE_SRC}/target/release)
+    ExternalProject_Add(llguidance_ext
+        GIT_REPOSITORY https://github.com/guidance-ai/llguidance
+        # v0.6.12:
+        GIT_TAG ced1c9023d47ec194fa977932d35ce65c2ebfc09
+        PREFIX ${CMAKE_BINARY_DIR}/llguidance
+        SOURCE_DIR ${LLGUIDANCE_SRC}
+        BUILD_IN_SOURCE TRUE
+        CONFIGURE_COMMAND ""
+        BUILD_COMMAND cargo build --release
+        INSTALL_COMMAND ""
+        BUILD_BYPRODUCTS ${LLGUIDANCE_PATH}/libllguidance.a ${LLGUIDANCE_PATH}/llguidance.h
+        UPDATE_COMMAND ""
+    )
+    target_compile_definitions(${TARGET} PUBLIC LLAMA_USE_LLGUIDANCE)
+
+    add_library(llguidance STATIC IMPORTED)
+    set_target_properties(llguidance PROPERTIES IMPORTED_LOCATION ${LLGUIDANCE_PATH}/libllguidance.a)
+    add_dependencies(llguidance llguidance_ext)
+
+    target_include_directories(${TARGET} PRIVATE ${LLGUIDANCE_PATH})
+    set(LLAMA_COMMON_EXTRA_LIBS ${LLAMA_COMMON_EXTRA_LIBS} llguidance)
+endif ()
+
 target_include_directories(${TARGET} PUBLIC .)
 target_compile_features   (${TARGET} PUBLIC cxx_std_11)
 target_link_libraries     (${TARGET} PRIVATE ${LLAMA_COMMON_EXTRA_LIBS} PUBLIC llama Threads::Threads)
diff --git a/common/chat-parser.cpp b/common/chat-parser.cpp
index b2f5c91ff..733bce39b 100644
--- a/common/chat-parser.cpp
+++ b/common/chat-parser.cpp
@@ -1,54 +1,69 @@
-// Chat parser implementation
 #include "chat-parser.h"
-#include "../examples/server/parsers/kimi_k2_parser.hpp"
-#include "json.hpp"
 #include "common.h"
+#include "log.h"
+#include "regex-partial.h"
+
+#include <optional>
+#include <stdexcept>
+#include <string>
+#include <vector>
 
 using json = nlohmann::ordered_json;
 
 common_chat_msg_parser::common_chat_msg_parser(const std::string & input, bool is_partial, const common_chat_syntax & syntax)
-    : input_(input), is_partial_(is_partial), syntax_(syntax) {
-    // Initialize result with default role
+    : input_(input), is_partial_(is_partial), syntax_(syntax)
+{
     result_.role = "assistant";
+
+    while (true) {
+        std::string id = std::to_string(std::rand());
+        if (input.find(id) == std::string::npos) {
+            healing_marker_ = id;
+            break;
+        }
+    }
 }
 
 std::string common_chat_msg_parser::str(const common_string_range & rng) const {
-    if (rng.begin > input_.size() || rng.end > input_.size()) {
-        throw std::runtime_error("Range out of bounds");
-    }
+    GGML_ASSERT(rng.begin <= rng.end);
     return input_.substr(rng.begin, rng.end - rng.begin);
 }
 
-void common_chat_msg_parser::add_content(const std::string & content) {
+void common_chat_msg_parser::add_content(const std::string &content) {
     result_.content += content;
 }
 
-void common_chat_msg_parser::add_reasoning_content(const std::string & reasoning_content) {
+void common_chat_msg_parser::add_reasoning_content(const std::string &reasoning_content) {
     result_.reasoning_content += reasoning_content;
 }
 
-void common_chat_msg_parser::add_tool_call(const common_chat_tool_call & tool_call) {
-    result_.tool_calls.push_back(tool_call);
-}
-
 bool common_chat_msg_parser::add_tool_call(const std::string & name, const std::string & id, const std::string & arguments) {
     if (name.empty()) {
         return false;
     }
-    
+
     common_chat_tool_call tool_call;
     tool_call.name = name;
     tool_call.arguments = arguments;
     tool_call.id = id;
-    
+
+    // LOG("Tool call arguments:\n\traw: %s\n\tresult: %s\n", arguments.c_str(), tool_call.arguments.c_str());
     result_.tool_calls.emplace_back(tool_call);
+
     return true;
 }
-
 bool common_chat_msg_parser::add_tool_call(const json & tool_call) {
     std::string name = tool_call.contains("name") ? tool_call.at("name") : "";
     std::string id = tool_call.contains("id") ? tool_call.at("id") : "";
-    std::string arguments = tool_call.contains("arguments") ? tool_call.at("arguments") : "";
+    std::string arguments = "";
+    if (tool_call.contains("arguments")) {
+        if (tool_call.at("arguments").is_object()) {
+            arguments = tool_call.at("arguments").dump();
+        } else {
+            arguments = tool_call.at("arguments");
+        }
+    }
+
     return add_tool_call(name, id, arguments);
 }
 
@@ -60,25 +75,65 @@ bool common_chat_msg_parser::add_tool_calls(const json & arr) {
     }
     return true;
 }
-
-void common_chat_msg_parser::clear_tools() {
-    result_.tool_calls.clear();
+void common_chat_msg_parser::finish() {
+    if (!is_partial_ && pos_ != input_.size()) {
+        throw std::runtime_error("Unexpected content at end of input");// + input_.substr(pos_));
+    }
 }
 
-std::string common_chat_msg_parser::consume_rest() {
-    auto rest = input_.substr(pos_);
-    pos_ = input_.size();
-    return rest;
+bool common_chat_msg_parser::consume_spaces() {
+    const auto length = input_.size();
+    auto consumed = false;
+    while (pos_ < length && std::isspace(input_[pos_])) {
+        ++pos_;
+        consumed = true;
+    }
+    return consumed;
 }
 
 bool common_chat_msg_parser::try_consume_literal(const std::string & literal) {
-    if (pos_ + literal.size() <= input_.size()) {
-        if (input_.substr(pos_, literal.size()) == literal) {
-            pos_ += literal.size();
-            return true;
+    auto pos = pos_;
+    for (auto i = 0u; i < literal.size(); ++i) {
+        if (pos >= input_.size()) {
+            return false;
+        }
+        if (input_[pos] != literal[i]) {
+            return false;
         }
+        ++pos;
+    }
+    pos_ = pos;
+    return true;
+}
+
+std::optional<common_chat_msg_parser::find_regex_result>  common_chat_msg_parser::try_find_literal(const std::string & literal) {
+    auto idx = input_.find(literal, pos_);
+    if (idx != std::string::npos) {
+        find_regex_result res;
+        res.prelude = input_.substr(pos_, idx - pos_);
+        auto end = idx + literal.size();
+        res.groups.emplace_back(common_string_range{idx, end});
+        move_to(end);
+        return res;
+    }
+    if (is_partial_) {
+        idx = string_find_partial_stop(input_, literal);
+        if (idx != std::string::npos && idx >= pos_) {
+            find_regex_result res;
+            res.prelude = input_.substr(pos_, idx - pos_);
+            auto end = input_.size();
+            res.groups.emplace_back(common_string_range{idx, end});
+            move_to(end);
+            return res;
+        }
+    }
+    return std::nullopt;
+}
+
+void common_chat_msg_parser::consume_literal(const std::string & literal) {
+    if (!try_consume_literal(literal)) {
+        throw common_chat_msg_partial_exception(literal);
     }
-    return false;
 }
 
 bool common_chat_msg_parser::try_parse_reasoning(const std::string & start_think, const std::string & end_think) {
@@ -97,7 +152,6 @@ bool common_chat_msg_parser::try_parse_reasoning(const std::string & start_think
             add_reasoning_content(stripped_reasoning);
         }
     };
-    
     if (syntax_.reasoning_format != COMMON_REASONING_FORMAT_NONE) {
         if (syntax_.thinking_forced_open || try_consume_literal(start_think)) {
             if (auto res = try_find_literal(end_think)) {
@@ -109,198 +163,73 @@ bool common_chat_msg_parser::try_parse_reasoning(const std::string & start_think
             if (!rest.empty()) {
                 handle_reasoning(rest, /* closed */ !is_partial());
             }
-            // Allow unclosed thinking tags for now (following original llama.cpp)
+            // Allow unclosed thinking tags, for now (https://github.com/ggml-org/llama.cpp/issues/13812, https://github.com/ggml-org/llama.cpp/issues/13877)
+            // if (!syntax_.thinking_forced_open) {
+            //     throw common_chat_msg_partial_exception(end_think);
+            // }
             return true;
         }
     }
     return false;
 }
 
-std::optional<common_chat_msg_parser::find_regex_result> common_chat_msg_parser::try_find_literal_legacy(const std::string & literal) {
-    auto idx = input_.find(literal, pos_);
-    if (idx != std::string::npos) {
-        find_regex_result res;
-        res.prelude = input_.substr(pos_, idx - pos_);
-        auto end = idx + literal.size();
-        res.groups.emplace_back(common_string_range{idx, end});
-        move_to(end);
-        return res;
-    }
-    
-    if (is_partial_) {
-        idx = string_find_partial_stop(input_, literal);
-        if (idx != std::string::npos && idx >= pos_) {
-            find_regex_result res;
-            res.prelude = input_.substr(pos_, idx - pos_);
-            auto end = input_.size();
-            res.groups.emplace_back(common_string_range{idx, end});
-            move_to(end);
-            return res;
-        }
-    }
-    return std::nullopt;
-}
-
-void common_chat_msg_parser::parse() {
-    switch (syntax_.format) {
-        case COMMON_CHAT_FORMAT_KIMI_K2:
-            parse_kimi_k2_format();
-            break;
-        case COMMON_CHAT_FORMAT_DEEPSEEK_R1:
-            parse_deepseek_r1_format();
-            break;
-        case COMMON_CHAT_FORMAT_GENERIC:
-            parse_generic_format();
-            break;
-        case COMMON_CHAT_FORMAT_CONTENT_ONLY:
-            add_content(consume_rest());
-            break;
-        default:
-            // Fallback to content-only for now
-            add_content(consume_rest());
-            break;
-    }
+std::string common_chat_msg_parser::consume_rest() {
+    auto rest = input_.substr(pos_);
+    pos_ = input_.size();
+    return rest;
 }
 
-void common_chat_msg_parser::parse_kimi_k2_format() {
-    json tool_calls_json = kimi_k2::parse_tool_calls(input_);
-
-    if (is_partial_ && kimi_k2::is_partial_content_advanced(input_)) {
-        throw common_chat_msg_partial_exception("partial structured content detected");
+// Tries to find the regex, consumes it (pos right after it) and gives the prelude (right before it) and the groups to the callback.
+std::optional<common_chat_msg_parser::find_regex_result> common_chat_msg_parser::try_find_regex(const common_regex & regex, size_t from, bool add_prelude_to_content) {
+    auto m = regex.search(input_, from == std::string::npos ? pos_ : from);
+    if (m.type == COMMON_REGEX_MATCH_TYPE_NONE) {
+        return std::nullopt;
     }
+    auto prelude = input_.substr(pos_, m.groups[0].begin - pos_);
+    pos_ = m.groups[0].end;
 
-    bool has_function_syntax = input_.find("functions.") != std::string::npos;
-    bool parsing_succeeded = !tool_calls_json.empty();
-
-    if (has_function_syntax && !parsing_succeeded) {
-        throw std::runtime_error("malformed function call syntax detected");
+    if (add_prelude_to_content) {
+        add_content(prelude);
     }
-
-    if (!tool_calls_json.empty()) {
-        for (const auto& tc_json : tool_calls_json) {
-            try {
-                common_chat_tool_call tc;
-                tc.id = tc_json.value("id", "");
-
-                if (!tc_json.contains("function") || !tc_json["function"].contains("name")) {
-                    continue;
-                }
-
-                tc.name = tc_json["function"]["name"];
-                if (tc.name.empty()) {
-                    continue;
-                }
-
-                tc.arguments = tc_json["function"]["arguments"];
-
-                if (!is_partial_ && !tc.arguments.empty()) {
-                    try {
-                        auto parsed = json::parse(tc.arguments);
-                        (void)parsed;
-                    } catch (const std::exception&) {
-                        continue;
-                    }
-                }
-                add_tool_call(tc);
-            } catch (const std::exception&) {
-                continue;
-            }
+    if (m.type == COMMON_REGEX_MATCH_TYPE_PARTIAL) {
+        if (is_partial()) {
+            throw common_chat_msg_partial_exception(regex.str());
         }
-        add_content(kimi_k2::clean_content(input_));
-    } else {
-        add_content(input_);
+        return std::nullopt;
     }
-    pos_ = input_.size();
-}
-
-void common_chat_msg_parser::parse_generic_format() {
-    add_content(consume_rest());
-}
-
-void common_chat_msg_parser::parse_deepseek_r1_format() {
-    // Delegate to the main chat.cpp function which has the corrected implementation
-    // This follows the original llama.cpp pattern where chat-parser delegates to chat.cpp
-    common_chat_parse_deepseek_r1(*this);
-}
-
-
-void common_chat_msg_parser::finish() {
-    // Any final processing can go here
-}
-
-common_chat_msg common_chat_msg_parser::result_and_reset() {
-    auto msg = result_;
-    result_ = common_chat_msg();
-    result_.role = "assistant";
-    pos_ = 0;
-    return msg;
+    return find_regex_result{prelude, m.groups};
 }
 
-// Content-only parsing for fallback scenarios
-
-// Format detection from chat template patterns (focused on DeepSeek R1 and Kimi K2)
-common_chat_format common_chat_format_detect(const std::string & chat_template) {
-    if (chat_template.empty()) {
-        return COMMON_CHAT_FORMAT_GENERIC;
-    }
-    
-    // Detect DeepSeek R1 format (following original llama.cpp detection logic)
-    if (chat_template.find("<｜tool▁calls▁begin｜>") != std::string::npos) {
-        return COMMON_CHAT_FORMAT_DEEPSEEK_R1;
-    }
-    
-    // Detect Kimi K2 format (our custom format)
-    if (chat_template.find("kimi") != std::string::npos ||
-        chat_template.find("Kimi") != std::string::npos ||
-        chat_template.find("functions.") != std::string::npos) {
-        return COMMON_CHAT_FORMAT_KIMI_K2;
+common_chat_msg_parser::find_regex_result common_chat_msg_parser::consume_regex(const common_regex & regex) {
+    if (auto result = try_consume_regex(regex)) {
+        return *result;
     }
-    
-    // Default to generic format for unknown templates
-    return COMMON_CHAT_FORMAT_GENERIC;
+    throw common_chat_msg_partial_exception(regex.str());
 }
 
-// Progressive parsing primitive - find literal (following original llama.cpp pattern)
-std::optional<common_chat_msg_parser::find_regex_result> common_chat_msg_parser::try_find_literal(const std::string & literal) {
-    auto idx = input_.find(literal, pos_);
-    if (idx != std::string::npos) {
-        find_regex_result res;
-        res.prelude = input_.substr(pos_, idx - pos_);
-        auto end = idx + literal.size();
-        res.groups.emplace_back(common_string_range{idx, end});
-        move_to(end);
-        return res;
+std::optional<common_chat_msg_parser::find_regex_result> common_chat_msg_parser::try_consume_regex(const common_regex & regex) {
+    auto m = regex.search(input_, pos_);
+    if (m.type == COMMON_REGEX_MATCH_TYPE_NONE) {
+        return std::nullopt;
     }
-    
-    if (is_partial_) {
-        idx = string_find_partial_stop(input_, literal);
-        if (idx != std::string::npos && idx >= pos_) {
-            find_regex_result res;
-            res.prelude = input_.substr(pos_, idx - pos_);
-            auto end = input_.size();
-            res.groups.emplace_back(common_string_range{idx, end});
-            move_to(end);
-            return res;
+    if (m.type == COMMON_REGEX_MATCH_TYPE_PARTIAL) {
+        if (is_partial()) {
+            throw common_chat_msg_partial_exception(regex.str());
         }
+        return std::nullopt;
     }
-    return std::nullopt;
-}
-
-bool common_chat_msg_parser::consume_spaces() {
-    bool consumed = false;
-    while (pos_ < input_.length() && std::isspace(input_[pos_])) {
-        pos_++;
-        consumed = true;
+    if (m.groups[0].begin != pos_) {
+        // Didn't match at the current position.
+        return std::nullopt;
     }
-    return consumed;
-}
+    pos_ = m.groups[0].end;
 
-void common_chat_msg_parser::set_healing_marker(const std::string & marker) {
-    healing_marker_ = marker;
+    return find_regex_result {
+        /* .prelude = */ "",
+        m.groups,
+    };
 }
 
-
-// Enhanced JSON parsing methods (following original llama.cpp patterns exactly)
 std::optional<common_json> common_chat_msg_parser::try_consume_json() {
     auto it = input_.cbegin() + pos_;
     const auto end = input_.cend();
@@ -327,8 +256,8 @@ common_json common_chat_msg_parser::consume_json() {
 }
 
 common_chat_msg_parser::consume_json_result common_chat_msg_parser::consume_json_with_dumped_args(
-    const std::vector<std::vector<std::string>>& args_paths,
-    const std::vector<std::vector<std::string>>& content_paths
+    const std::vector<std::vector<std::string>> & args_paths,
+    const std::vector<std::vector<std::string>> & content_paths
 ) {
     if (auto result = try_consume_json_with_dumped_args(args_paths, content_paths)) {
         return *result;
@@ -337,8 +266,8 @@ common_chat_msg_parser::consume_json_result common_chat_msg_parser::consume_json
 }
 
 std::optional<common_chat_msg_parser::consume_json_result> common_chat_msg_parser::try_consume_json_with_dumped_args(
-    const std::vector<std::vector<std::string>>& args_paths,
-    const std::vector<std::vector<std::string>>& content_paths
+    const std::vector<std::vector<std::string>> & args_paths,
+    const std::vector<std::vector<std::string>> & content_paths
 ) {
     auto partial = try_consume_json();
     if (!partial) {
@@ -366,137 +295,99 @@ std::optional<common_chat_msg_parser::consume_json_result> common_chat_msg_parse
                 /* .is_partial = */ false,
             };
         }
-        // TODO: Implement full path-based argument dumping logic from original
-        // For now, return the parsed JSON as-is
-        return consume_json_result {
-            partial->json,
-            /* .is_partial = */ false,
-        };
     }
-    
-    // Has healing marker - this is partial JSON
-    // TODO: Implement sophisticated partial JSON handling with path-based dumping
-    // For now, return partial result
-    return consume_json_result {
-        partial->json,
-        /* .is_partial = */ true,
-    };
-}
 
-bool common_chat_msg_parser::detect_partial_function_call(const std::string& content) {
-    if (content.empty()) return false;
-    
-    // Enhanced partial detection patterns
-    static const std::vector<std::string> partial_patterns = {
-        "functions",
-        "functions.",
-        "<tool_call",
-        "<tool_call>",
-        "<invoke",
-        "<|tool_calls_section_begin|>",
-        "<|tool_call_begin|>"
-    };
-    
-    for (const auto& pattern : partial_patterns) {
-        if (content.substr(0, pattern.length()) == pattern && content.length() <= pattern.length() + 50) {
-            return true;
-        }
-    }
-    
-    return false;
-}
+    LOG("Parsed partial JSON: %s (json_healing_marker: %s)\n", partial->json.dump().c_str(), partial->healing_marker.json_dump_marker.c_str());
 
-void common_chat_msg_parser::handle_partial_detection() {
-    if (!is_partial_) return;
-    
-    // Check for various partial patterns
-    std::string remaining = input_.substr(pos_);
-    
-    if (remaining.empty()) return;
-    
-    // Detect partial function calls
-    if (detect_partial_function_call(remaining)) {
-        set_healing_marker(remaining);
-        throw common_chat_msg_partial_exception("partial function call detected");
-    }
-    
-    // Enhanced partial JSON detection
-    if (remaining.find('{') != std::string::npos) {
-        size_t brace_pos = remaining.find('{');
-        std::string json_part = remaining.substr(brace_pos);
-        
-        // Check if JSON is incomplete
-        int brace_count = 0;
-        bool in_string = false;
-        bool escaped = false;
-        bool is_incomplete = true;
-        
-        for (size_t i = 0; i < json_part.length(); i++) {
-            char c = json_part[i];
-            
-            if (!escaped) {
-                if (c == '"' && !in_string) {
-                    in_string = true;
-                } else if (c == '"' && in_string) {
-                    in_string = false;
-                } else if (!in_string) {
-                    if (c == '{') brace_count++;
-                    else if (c == '}') brace_count--;
+    auto found_healing_marker = false;
+    std::vector<std::string> path;
+    std::function<json(const json &)> remove_unsupported_healings_and_dump_args = [&](const json & j) -> json {
+        if (is_arguments_path(path)) {
+            auto arguments = j.dump();
+            if (is_partial() && !partial->healing_marker.marker.empty()) {
+                auto idx = arguments.find(partial->healing_marker.json_dump_marker);
+                if (idx != std::string::npos) {
+                    arguments.resize(idx);
+                    found_healing_marker = true;
                 }
+                if (arguments == "\"") {
+                    // This happens because of completing `:"$magic` after `"arguments"`
+                    arguments = "";
+                }
+            }
+            return arguments;
+        }
+        if (is_content_path(path)) {
+            if (!j.is_string()) {
+                throw std::runtime_error("Content path must be a string");
             }
-            
-            escaped = (!escaped && c == '\\');
-            
-            if (brace_count == 0) {
-                is_incomplete = false;
-                break;
+            std::string str = j;
+            auto idx = str.find(partial->healing_marker.marker); // not using json_dump_marker as we're inside a string
+            if (idx != std::string::npos) {
+                str.resize(idx);
+                found_healing_marker = true;
             }
+            return str;
         }
-        
-        if (is_incomplete) {
-            set_healing_marker(json_part);
-            throw common_chat_msg_partial_exception("partial JSON detected");
+        if (j.is_object()) {
+            auto obj = json::object();
+            for (const auto & p : j.items()) {
+                const auto & key = p.key();
+                const auto & value = p.value();
+                const std::string key_str = key; // NOLINT
+                auto idx = key_str.find(healing_marker_);
+                if (idx != std::string::npos) {
+                    found_healing_marker = true;
+                    break;
+                }
+                path.push_back(key_str);
+                if (value.is_string()) {
+                    const std::string value_str = value;
+                    if (value_str.find(healing_marker_) != std::string::npos) {
+                        found_healing_marker = true;
+                        if (is_content_path(path)) {
+                            if (partial->healing_marker.marker == partial->healing_marker.json_dump_marker) {
+                                // The healing occurred inside the string: good. Otherwise we just ditch the entire key/value pair.
+                                obj[key] = remove_unsupported_healings_and_dump_args(value);
+                            }
+                        }
+                        break;
+                    }
+                    obj[key] = value;
+                } else {
+                    obj[key] = remove_unsupported_healings_and_dump_args(value);
+                }
+                path.pop_back();
+            }
+            return obj;
         }
-    }
-}
-
-// Regex-based parsing methods (ported from original llama.cpp)
-std::optional<common_chat_msg_parser::find_regex_result> common_chat_msg_parser::try_find_regex(const common_regex & regex, size_t from, bool add_prelude_to_content) {
-    auto m = regex.search(input_, from == std::string::npos ? pos_ : from);
-    if (m.type == COMMON_REGEX_MATCH_TYPE_NONE) {
-        return std::nullopt;
-    }
-    auto prelude = input_.substr(pos_, m.groups[0].begin - pos_);
-    pos_ = m.groups[0].end;
-
-    if (add_prelude_to_content) {
-        add_content(prelude);
-    }
-    if (m.type == COMMON_REGEX_MATCH_TYPE_PARTIAL) {
-        if (is_partial()) {
-            throw common_chat_msg_partial_exception(regex.str());
+        if (j.is_array()) {
+            auto arr = json::array();
+            for (const auto & value : j) {
+                if (value.is_string()) {
+                    std::string str = value;
+                    auto idx = str.find(healing_marker_);
+                    if (idx != std::string::npos) {
+                        // Don't heal array values that aren't in the arguments.
+                        found_healing_marker = true;
+                        break;
+                    }
+                }
+                arr.push_back(remove_unsupported_healings_and_dump_args(value));
+            }
+            return arr;
         }
-        return std::nullopt;
-    }
-    return find_regex_result{prelude, m.groups};
-}
-
-common_chat_msg_parser::find_regex_result common_chat_msg_parser::consume_regex(const common_regex & regex) {
-    auto result = try_find_regex(regex);
-    if (!result) {
-        throw std::runtime_error("Expected regex not found: " + regex.str());
-    }
-    return *result;
-}
+        return j;
+    };
 
-std::optional<common_chat_msg_parser::find_regex_result> common_chat_msg_parser::try_consume_regex(const common_regex & regex) {
-    return try_find_regex(regex, pos_, false);
+    auto cleaned = remove_unsupported_healings_and_dump_args(partial->json);
+    LOG("Cleaned up JSON %s to %s (json_healing_marker : '%s')\n", partial->json.dump().c_str(), cleaned.dump().c_str(), partial->healing_marker.json_dump_marker.c_str());
+    return consume_json_result {
+        cleaned,
+        /* .is_partial = */ found_healing_marker,
+    };
 }
 
-void common_chat_msg_parser::consume_literal(const std::string & literal) {
-    if (!try_consume_literal(literal)) {
-        throw std::runtime_error("Expected literal not found: " + literal);
-    }
+void common_chat_msg_parser::clear_tools() {
+    result_.tool_calls.clear();
 }
-
-// Get format name for debugging/logging (implemented in chat.cpp)
\ No newline at end of file
diff --git a/common/chat-parser.h b/common/chat-parser.h
index 1e7a3f949..e08b37d34 100644
--- a/common/chat-parser.h
+++ b/common/chat-parser.h
@@ -1,14 +1,18 @@
-// Chat parser with builder pattern for incremental parsing
 #pragma once
 
 #include "chat.h"
 #include "json-partial.h"
+#include "json.hpp"
 #include "regex-partial.h"
+
 #include <optional>
 #include <string>
 #include <vector>
 
-using json = nlohmann::ordered_json;
+class common_chat_msg_partial_exception : public std::runtime_error {
+  public:
+    common_chat_msg_partial_exception(const std::string & message) : std::runtime_error(message) {}
+};
 
 class common_chat_msg_parser {
     std::string input_;
@@ -20,14 +24,7 @@ class common_chat_msg_parser {
     common_chat_msg result_;
 
   public:
-    struct find_regex_result {
-        std::string prelude;
-        std::vector<common_string_range> groups;
-    };
-
     common_chat_msg_parser(const std::string & input, bool is_partial, const common_chat_syntax & syntax);
-
-    // Accessors
     const std::string & input() const { return input_; }
     size_t pos() const { return pos_; }
     const std::string & healing_marker() const { return healing_marker_; }
@@ -35,14 +32,12 @@ class common_chat_msg_parser {
     const common_chat_msg & result() const { return result_; }
     const common_chat_syntax & syntax() const { return syntax_; }
 
-    // Position manipulation
     void move_to(size_t pos) {
         if (pos > input_.size()) {
             throw std::runtime_error("Invalid position!");
         }
         pos_ = pos;
     }
-
     void move_back(size_t n) {
         if (pos_ < n) {
             throw std::runtime_error("Can't move back that far!");
@@ -53,84 +48,72 @@ class common_chat_msg_parser {
     // Get the substring of the input at the given range
     std::string str(const common_string_range & rng) const;
 
-    // Content manipulation
+    // Appends to the result.content field
     void add_content(const std::string & content);
+
+    // Appends to the result.reasoning_content field
     void add_reasoning_content(const std::string & reasoning_content);
 
-    // Tool call manipulation
-    void add_tool_call(const common_chat_tool_call & tool_call);
+    // Adds a tool call to the result. If the tool call is too incomplete (e.g. name empty), it won't add anything.
     bool add_tool_call(const std::string & name, const std::string & id, const std::string & arguments);
-    bool add_tool_call(const json & tool_call);
-    bool add_tool_calls(const json & arr);
-    void clear_tools();
 
-    // Parsing utilities
-    std::string consume_rest();
-    bool try_consume_literal(const std::string & literal);
+    // Adds a tool call using the "name", "id" and "arguments" fields of the json object
+    bool add_tool_call(const nlohmann::ordered_json & tool_call);
+
+    // Adds an array of tool calls using their "name", "id" and "arguments" fields.
+    bool add_tool_calls(const nlohmann::ordered_json & arr);
+
+    void finish();
+
+    bool consume_spaces();
+
     void consume_literal(const std::string & literal);
+
     bool try_parse_reasoning(const std::string & start_think, const std::string & end_think);
 
-    // Regex-based parsing methods (new)
+    std::string consume_rest();
+
+    struct find_regex_result {
+        std::string prelude;
+        std::vector<common_string_range> groups;
+    };
+
     std::optional<find_regex_result> try_find_regex(const common_regex & regex, size_t from = std::string::npos, bool add_prelude_to_content = true);
-    find_regex_result consume_regex(const common_regex & regex);
-    std::optional<find_regex_result> try_consume_regex(const common_regex & regex);
 
-    // Progressive parsing primitives (for Phase 4)
-    std::optional<find_regex_result> try_find_literal(const std::string & literal);
-    bool consume_spaces();
-    void set_healing_marker(const std::string & marker);
+    bool try_consume_literal(const std::string & literal);
 
+    std::optional<find_regex_result> try_find_literal(const std::string & literal);
 
-    // Main parsing entry point
-    void parse();
+    find_regex_result consume_regex(const common_regex & regex);
 
-    // Finishing
-    void finish();
+    std::optional<find_regex_result> try_consume_regex(const common_regex & regex);
 
-    // Result extraction
-    common_chat_msg result_and_reset();
+    std::optional<common_json> try_consume_json();
+    common_json consume_json();
 
-    // Advanced JSON parsing (following original llama.cpp patterns)
     struct consume_json_result {
-        json value;
+        nlohmann::ordered_json value;
         bool is_partial;
     };
 
-    std::optional<common_json> try_consume_json();
-    common_json consume_json();
+    /*
+        Consume (possibly partial) json and converts specific subtrees to (possibly truncated) JSON strings.
+
+        By default, object keys can't be truncated, nor can string values (their corresponding key is removed,
+        e.g. `{"foo": "bar", "baz": "b` -> `{"foo": "bar"}`
+
+        But one can allow subpaths to be kept truncated, and possibly json-dumped to truncated json strings
+        - with `content_paths={{"foo"}}` -> `{"foo": "b` -> {"foo": "b"}`
+        - with `args_paths={{"foo"}}` -> `{"foo": {"b` -> `{"foo": "{b"}`
+    */
     consume_json_result consume_json_with_dumped_args(
-        const std::vector<std::vector<std::string>>& args_paths = {},
-        const std::vector<std::vector<std::string>>& content_paths = {}
+        const std::vector<std::vector<std::string>> & args_paths = {},
+        const std::vector<std::vector<std::string>> & content_paths = {}
     );
     std::optional<consume_json_result> try_consume_json_with_dumped_args(
-        const std::vector<std::vector<std::string>>& args_paths = {},
-        const std::vector<std::vector<std::string>>& content_paths = {}
+        const std::vector<std::vector<std::string>> & args_paths = {},
+        const std::vector<std::vector<std::string>> & content_paths = {}
     );
 
-private:
-    // Internal parsing helpers
-    void parse_kimi_k2_format();
-    void parse_deepseek_r1_format();
-    void parse_generic_format();
-
-
-    // JSON parsing utilities (enhanced streaming support)
-    struct json_parse_result {
-        json value;
-        bool success;
-        bool is_partial;
-        std::string healing_marker;
-    };
-
-    // Partial detection utilities
-    bool detect_partial_function_call(const std::string& content);
-    void handle_partial_detection();
-
-    // Legacy find_literal for compatibility
-    std::optional<find_regex_result> try_find_literal_legacy(const std::string & literal);
+    void clear_tools();
 };
-
-// Main parsing function (public API)
-common_chat_msg common_chat_parse(const std::string & input, bool is_partial, const common_chat_syntax & syntax);
-
-// Content-only parsing for fallback scenarios (static internal function)
diff --git a/common/chat-template.hpp b/common/chat-template.hpp
deleted file mode 100644
index b4a90145c..000000000
--- a/common/chat-template.hpp
+++ /dev/null
@@ -1,249 +0,0 @@
-/*
-    Copyright 2024 Google LLC
-
-    Use of this source code is governed by an MIT-style
-    license that can be found in the LICENSE file or at
-    https://opensource.org/licenses/MIT.
-*/
-// SPDX-License-Identifier: MIT
-#pragma once
-
-#include "minja.hpp"
-#include <json.hpp>
-#include <string>
-#include <vector>
-
-using json = nlohmann::ordered_json;
-
-namespace minja {
-
-class chat_template {
-  public:
-
-  private:
-    bool supports_tools_ = true;
-    // Meta-Llama-3.1-8B-Instruct's template expects arguments to be an object.
-    // Most other templates (and OpenAI's API) expect the arguments object to be stringified.
-    bool requires_object_arguments_ = false;
-    bool supports_system_role_ = true;
-    bool supports_parallel_tool_calls_ = false;
-    std::string source_;
-    std::string bos_token_;
-    std::string eos_token_;
-    std::shared_ptr<minja::TemplateNode> template_root_;
-
-    std::string try_render(
-        const nlohmann::ordered_json & messages,
-        const nlohmann::ordered_json & tools,
-        bool add_generation_prompt,
-        const nlohmann::ordered_json & extra_context = nlohmann::ordered_json()) const
-    {
-        try {
-            auto prompt = apply(messages, tools, add_generation_prompt, extra_context);
-            // fprintf(stderr, "Prompt: %s\n", prompt.c_str());
-            return prompt;
-        } catch (const std::exception & e) {
-            // fprintf(stderr, "Error: %s\n", e.what());
-            return "";
-        }
-    }
-
-  public:
-    chat_template(const std::string & source, const std::string & bos_token, const std::string & eos_token)
-        : source_(source), bos_token_(bos_token), eos_token_(eos_token)
-    {
-        template_root_ = minja::Parser::parse(source_, {
-            /* .trim_blocks = */ true,
-            /* .lstrip_blocks = */ true,
-            /* .keep_trailing_newline = */ false,
-        });
-        supports_tools_ = source.find("tools") != std::string::npos;
-
-        auto renders_string_arguments =
-            try_render({
-                {
-                    {"role", "user"},
-                    {"content", "Hey"}
-                },
-                {
-                    {"role", "assistant"},
-                    {"tool_calls", json::array({
-                        {
-                            {"id", "call_1___"},
-                            {"type", "function"},
-                            {"function", {
-                                {"arguments", "{\"code\": \"print('Hello, World!')\"}"},
-                                {"name", "ipython"},
-                            }},
-                        },
-                    })},
-                }
-            }, {}, false).find("{\"code\": \"print") != std::string::npos;
-        if (!renders_string_arguments) {
-            auto renders_object_arguments =
-                try_render({
-                    {
-                        {"role", "user"},
-                        {"content", "Hey"}
-                    },
-                    {
-                        {"role", "assistant"},
-                        {"tool_calls", json::array({
-                            {
-                                {"id", "call_1___"},
-                                {"type", "function"},
-                                {"function", {
-                                    {"arguments", {
-                                        {"code", "print('Hello, World!')"},
-                                    }},
-                                    {"name", "ipython"},
-                                }},
-                            },
-                        })},
-                    }
-                }, {}, false).find("{\"code\": \"print") != std::string::npos;
-            requires_object_arguments_ = renders_object_arguments;
-        }
-        supports_parallel_tool_calls_ = source.find("tool_call_id") != std::string::npos;
-
-        supports_system_role_ = try_render({
-            {{"role", "system"}, {"content", "<System Needle>"}},
-            {{"role", "user"},   {"content", "Hey"}}
-        }, {}, false).find("<System Needle>") != std::string::npos;
-    }
-
-    const std::string & source() const { return source_; }
-    const std::string & bos_token() const { return bos_token_; }
-    const std::string & eos_token() const { return eos_token_; }
-    bool supports_tools() const { return supports_tools_; }
-    bool supports_parallel_tool_calls() const { return supports_parallel_tool_calls_; }
-
-    std::string apply(
-        const nlohmann::ordered_json & messages,
-        const nlohmann::ordered_json & tools,
-        bool add_generation_prompt,
-        const nlohmann::ordered_json & extra_context = nlohmann::ordered_json()) const
-    {
-        json actual_messages;
-
-        // First, "fix" messages so they have a chance to be rendered correctly by the template
-
-        if (requires_object_arguments_ || !supports_system_role_ || !supports_tools_) {
-            actual_messages = json::array();
-
-            std::string pending_system;
-            auto flush_sys = [&]() {
-                if (!pending_system.empty()) {
-                    actual_messages.push_back({
-                        {"role", "user"},
-                        {"content", pending_system},
-                    });
-                    pending_system.clear();
-                }
-            };
-            for (const auto & message_ : messages) {
-                auto message = message_;
-                if (!message.contains("role") || !message.contains("content")) {
-                    throw std::runtime_error("message must have 'role' and 'content' fields: " + message.dump());
-                }
-                std::string role = message.at("role");
-
-                if (message.contains("tool_calls")) {
-                    if (requires_object_arguments_ || !supports_tools_) {
-                        for (auto & tool_call : message.at("tool_calls")) {
-                            if (tool_call["type"] == "function") {
-                                auto & function = tool_call.at("function");
-                                std::string arguments = function.at("arguments");
-                                function["arguments"] = json::parse(arguments);
-                            }
-                        }
-                    }
-                    if (!supports_tools_) {
-                        auto content = message.at("content");
-                        auto tool_calls = json::array();
-                        for (const auto & tool_call : message.at("tool_calls")) {
-                            if (tool_call.at("type") != "function") {
-                                continue;
-                            }
-                            const auto & function = tool_call.at("function");
-                            auto tc = json {
-                                {"name", function.at("name")},
-                                {"arguments", function.at("arguments")},
-                            };
-                            if (tool_call.contains("id")) {
-                                tc["id"] = tool_call["id"];
-                            }
-                            tool_calls.push_back(tc);
-                        }
-                        auto obj = json {
-                            {"tool_calls", tool_calls},
-                        };
-                        if (!content.is_null() && content != "") {
-                            obj["content"] = content;
-                        }
-                        message["content"] = obj.dump(2);
-                        message.erase("tool_calls");
-                    }
-                }
-                if (!supports_tools_ && role == "tool") {
-                    message["role"] = "user";
-                    auto obj = json {
-                        {"tool_response", {
-                            {"tool", message.at("name")},
-                            {"content", message.at("content")},
-                        }},
-                    };
-                    if (message.contains("tool_call_id")) {
-                        obj["tool_response"]["tool_call_id"] = message.at("tool_call_id");
-                    }
-                    message["content"] = obj.dump(2);
-                    message.erase("name");
-                }
-
-                if (!message["content"].is_null() && !supports_system_role_) {
-                    std::string content = message.at("content");
-                    if (role == "system") {
-                        if (!pending_system.empty()) pending_system += "\n";
-                        pending_system += content;
-                        continue;
-                    } else {
-                        if (role == "user") {
-                            if (!pending_system.empty()) {
-                                message["content"] = pending_system + (content.empty() ? "" : "\n" + content);
-                                pending_system.clear();
-                            }
-                        } else {
-                            flush_sys();
-                        }
-                    }
-                }
-                actual_messages.push_back(message);
-            }
-            flush_sys();
-        } else {
-            actual_messages = messages;
-        }
-
-        auto context = minja::Context::make(json({
-            {"messages", actual_messages},
-            {"add_generation_prompt", add_generation_prompt},
-            {"bos_token", bos_token_},
-            {"eos_token", eos_token_},
-        }));
-
-        if (!tools.is_null()) {
-            auto tools_val = minja::Value(tools);
-            context->set("tools", tools_val);
-        }
-        if (!extra_context.is_null()) {
-            for (auto & kv : extra_context.items()) {
-                minja::Value val(kv.value());
-                context->set(kv.key(), val);
-            }
-        }
-
-        return template_root_->render(context);
-    }
-};
-
-}  // namespace minja
diff --git a/common/chat.cpp b/common/chat.cpp
index 8be086333..962245b5e 100644
--- a/common/chat.cpp
+++ b/common/chat.cpp
@@ -1,15 +1,35 @@
 #include "chat.h"
 #include "chat-parser.h"
 #include "common.h"
-#include "../examples/server/parsers/kimi_k2_parser.hpp"
+#include "llama-vocab.h"
+#include "json-partial.h"
+#include "llama-vocab.h"
+#include "json-schema-to-grammar.h"
+#include "log.h"
+#include "regex-partial.h"
 
+#include <minja/chat-template.hpp>
+#include <minja/minja.hpp>
+
+#include <cstdio>
+#include <exception>
+#include <iostream>
+#include <optional>
 #include <stdexcept>
 #include <string>
 #include <vector>
-#include "json.hpp"
 
 using json = nlohmann::ordered_json;
 
+static std::string format_time(const std::chrono::system_clock::time_point & now, const std::string & format) {
+    auto time = std::chrono::system_clock::to_time_t(now);
+    auto local_time = *std::localtime(&time);
+    std::ostringstream ss;
+    ss << std::put_time(&local_time, format.c_str());
+    auto res = ss.str();
+    return res;
+}
+
 static std::string string_diff(const std::string & last, const std::string & current) {
     if (last.empty()) {
         return current;
@@ -25,6 +45,45 @@ static std::string string_diff(const std::string & last, const std::string & cur
     return current.substr(last.size());
 }
 
+static bool has_content_or_tool_calls(const common_chat_msg & msg) {
+    return !msg.content.empty() || !msg.tool_calls.empty();
+}
+
+template <>
+json common_chat_msg::to_json_oaicompat() const
+{
+    json message {
+        {"role", "assistant"},
+    };
+    if (!reasoning_content.empty()) {
+        message["reasoning_content"] = reasoning_content;
+    }
+    if (content.empty() && !tool_calls.empty()) {
+        message["content"] = json();
+    } else {
+        message["content"] = content;
+    }
+    if (!tool_calls.empty()) {
+        auto arr = json::array();
+        for (const auto & tc : tool_calls) {
+            arr.push_back({
+                {"type", "function"},
+                {"function", {
+                    {"name", tc.name},
+                    {"arguments", tc.arguments},
+                }},
+                {"id", tc.id},
+                // // Some templates generate and require an id (sometimes in a very specific format, e.g. Mistral Nemo).
+                // // We only generate a random id for the ones that don't generate one by themselves
+                // // (they also won't get to see it as their template likely doesn't use it, so it's all for the client)
+                // {"id", tc.id.empty() ? gen_tool_call_id() : tc.id},
+            });
+        }
+        message["tool_calls"] = arr;
+    }
+    return message;
+}
+
 std::vector<common_chat_msg_diff> common_chat_msg_diff::compute_diffs(const common_chat_msg & previous_msg, const common_chat_msg & new_msg) {
     std::vector<common_chat_msg_diff> diffs;
     if (previous_msg.reasoning_content != new_msg.reasoning_content) {
@@ -66,45 +125,536 @@ std::vector<common_chat_msg_diff> common_chat_msg_diff::compute_diffs(const comm
     return diffs;
 }
 
-// Format parsing functions (ported from original llama.cpp)
-// Content-only parsing (internal implementation - matches llama.cpp exactly)
-static void common_chat_parse_content_only(common_chat_msg_parser & builder) {
-    builder.add_content(builder.consume_rest());
+typedef minja::chat_template common_chat_template;
+
+struct common_chat_templates {
+    bool add_bos;
+    bool add_eos;
+    bool has_explicit_template; // Model had builtin template or template overridde was specified.
+    std::unique_ptr<common_chat_template> template_default; // always set (defaults to chatml)
+    std::unique_ptr<common_chat_template> template_tool_use;
+};
+
+struct templates_params {
+    json messages;
+    json tools;
+    common_chat_tool_choice tool_choice;
+    json json_schema;
+    bool parallel_tool_calls;
+    bool stream;
+    std::string grammar;
+    bool add_generation_prompt = true;
+    bool enable_thinking = true;
+    std::chrono::system_clock::time_point now = std::chrono::system_clock::now();
+    json extra_context;
+    bool add_bos;
+    bool add_eos;
+    bool is_inference = true;
+};
+
+common_chat_tool_choice common_chat_tool_choice_parse_oaicompat(const std::string & tool_choice) {
+    if (tool_choice == "auto") {
+        return COMMON_CHAT_TOOL_CHOICE_AUTO;
+    }
+    if (tool_choice == "none") {
+        return COMMON_CHAT_TOOL_CHOICE_NONE;
+    }
+    if (tool_choice == "required") {
+        return COMMON_CHAT_TOOL_CHOICE_REQUIRED;
+    }
+    throw std::runtime_error("Invalid tool_choice: " + tool_choice);
 }
 
-static void common_chat_parse_generic(common_chat_msg_parser & builder) {
-    if (!builder.syntax().enable_tool_calls) {
-        builder.add_content(builder.consume_rest());
-        return;
+template <>
+std::vector<common_chat_msg> common_chat_msgs_parse_oaicompat(const json & messages) {
+    std::vector<common_chat_msg> msgs;
+
+    try {
+
+        if (!messages.is_array()) {
+            throw std::runtime_error("Expected 'messages' to be an array, got " + messages.dump());
+        }
+
+        for (const auto & message : messages) {
+            if (!message.is_object()) {
+                throw std::runtime_error("Expected 'message' to be an object, got " + message.dump());
+            }
+
+            common_chat_msg msg;
+            if (!message.contains("role")) {
+                throw std::runtime_error("Missing 'role' in message: " + message.dump());
+            }
+            msg.role = message.at("role");
+
+            auto has_content = message.contains("content");
+            auto has_tool_calls = message.contains("tool_calls");
+            if (has_content) {
+                const auto & content = message.at("content");
+                if (content.is_string()) {
+                    msg.content = content;
+                } else if (content.is_array()) {
+                    for (const auto & part : content) {
+                        if (!part.contains("type")) {
+                            throw std::runtime_error("Missing content part type: " + part.dump());
+                        }
+                        const auto & type = part.at("type");
+                        if (type != "text") {
+                            throw std::runtime_error("Unsupported content part type: " + type.dump());
+                        }
+                        common_chat_msg_content_part msg_part;
+                        msg_part.type = type;
+                        msg_part.text = part.at("text");
+                        msg.content_parts.push_back(msg_part);
+                    }
+                } else if (!content.is_null()) {
+                    throw std::runtime_error("Invalid 'content' type: expected string or array, got " + content.dump() + " (ref: https://github.com/ggml-org/llama.cpp/issues/8367)");
+                }
+            }
+            if (has_tool_calls) {
+                for (const auto & tool_call : message.at("tool_calls")) {
+                    common_chat_tool_call tc;
+                    if (!tool_call.contains("type")) {
+                        throw std::runtime_error("Missing tool call type: " + tool_call.dump());
+                    }
+                    const auto & type = tool_call.at("type");
+                    if (type != "function") {
+                        throw std::runtime_error("Unsupported tool call type: " + tool_call.dump());
+                    }
+                    if (!tool_call.contains("function")) {
+                        throw std::runtime_error("Missing tool call function: " + tool_call.dump());
+                    }
+                    const auto & fc = tool_call.at("function");
+                    if (!fc.contains("name")) {
+                        throw std::runtime_error("Missing tool call name: " + tool_call.dump());
+                    }
+                    tc.name = fc.at("name");
+                    tc.arguments = fc.at("arguments");
+                    if (tool_call.contains("id")) {
+                        tc.id = tool_call.at("id");
+                    }
+                    msg.tool_calls.push_back(tc);
+                }
+            }
+            if (!has_content && !has_tool_calls) {
+                throw std::runtime_error("Expected 'content' or 'tool_calls' (ref: https://github.com/ggml-org/llama.cpp/issues/8367 & https://github.com/ggml-org/llama.cpp/issues/12279)");
+            }
+            if (message.contains("reasoning_content")) {
+                msg.reasoning_content = message.at("reasoning_content");
+            }
+            if (message.contains("name")) {
+                msg.tool_name = message.at("name");
+            }
+            if (message.contains("tool_call_id")) {
+                msg.tool_call_id = message.at("tool_call_id");
+            }
+
+            msgs.push_back(msg);
+        }
+    } catch (const std::exception & e) {
+        // @ngxson : disable otherwise it's bloating the API response
+        // printf("%s\n", std::string("; messages = ") + messages.dump(2));
+        throw std::runtime_error("Failed to parse messages: " + std::string(e.what()));
     }
-    static const std::vector<std::vector<std::string>> content_paths = {
-        {"response"},
+
+    return msgs;
+}
+
+template <>
+json common_chat_msgs_to_json_oaicompat(const std::vector<common_chat_msg> & msgs, bool concat_typed_text) {
+    json messages = json::array();
+    for (const auto & msg : msgs) {
+        if (!msg.content.empty() && !msg.content_parts.empty()) {
+            throw std::runtime_error("Cannot specify both content and content_parts");
+        }
+        json jmsg {
+            {"role", msg.role},
+        };
+        if (!msg.content.empty()) {
+            jmsg["content"] = msg.content;
+        } else if (!msg.content_parts.empty()) {
+            if (concat_typed_text) {
+                std::string text;
+                for (const auto & part : msg.content_parts) {
+                    if (part.type != "text") {
+                        LOG("Ignoring content part type: %s\n", part.type.c_str());
+                        continue;
+                    }
+                    if (!text.empty()) {
+                        text += '\n';
+                    }
+                    text += part.text;
+                }
+                jmsg["content"] = text;
+            } else {
+                auto & parts = jmsg["content"] = json::array();
+                for (const auto & part : msg.content_parts) {
+                    parts.push_back({
+                        {"type", part.type},
+                        {"text", part.text},
+                    });
+                }
+            }
+        } else {
+            jmsg["content"] = json(); // null
+        }
+        if (!msg.reasoning_content.empty()) {
+            jmsg["reasoning_content"] = msg.reasoning_content;
+            jmsg["thinking"] = msg.reasoning_content; // gpt-oss
+        }
+        if (!msg.tool_name.empty()) {
+            jmsg["name"] = msg.tool_name;
+        }
+        if (!msg.tool_call_id.empty()) {
+            jmsg["tool_call_id"] = msg.tool_call_id;
+        }
+        if (!msg.tool_calls.empty()) {
+            auto & tool_calls = jmsg["tool_calls"] = json::array();
+            for (const auto & tool_call : msg.tool_calls) {
+                json tc {
+                    {"type", "function"},
+                    {"function", {
+                        {"name", tool_call.name},
+                        {"arguments", tool_call.arguments},
+                    }},
+                };
+                if (!tool_call.id.empty()) {
+                    tc["id"] = tool_call.id;
+                }
+                tool_calls.push_back(tc);
+            }
+        }
+        messages.push_back(jmsg);
+    }
+    return messages;
+}
+
+template <>
+std::vector<common_chat_msg> common_chat_msgs_parse_oaicompat(const std::string & messages) {
+    return common_chat_msgs_parse_oaicompat(json::parse(messages));
+}
+
+template <>
+std::vector<common_chat_tool> common_chat_tools_parse_oaicompat(const json & tools) {
+    std::vector<common_chat_tool> result;
+
+    try {
+        if (!tools.is_null()) {
+            if (!tools.is_array()) {
+                throw std::runtime_error("Expected 'tools' to be an array, got " + tools.dump());
+            }
+            for (const auto & tool : tools) {
+                if (!tool.contains("type")) {
+                    throw std::runtime_error("Missing tool type: " + tool.dump());
+                }
+                const auto & type = tool.at("type");
+                if (!type.is_string() || type != "function") {
+                    throw std::runtime_error("Unsupported tool type: " + tool.dump());
+                }
+                if (!tool.contains("function")) {
+                    throw std::runtime_error("Missing tool function: " + tool.dump());
+                }
+
+                const auto & function = tool.at("function");
+                result.push_back({
+                    /* .name = */ function.at("name"),
+                    /* .description = */ function.at("description"),
+                    /* .parameters = */ function.at("parameters").dump(),
+                });
+            }
+        }
+    } catch (const std::exception & e) {
+        throw std::runtime_error("Failed to parse tools: " + std::string(e.what()) + "; tools = " + tools.dump(2));
+    }
+
+    return result;
+}
+
+template <>
+std::vector<common_chat_tool> common_chat_tools_parse_oaicompat(const std::string & tools) {
+    return common_chat_tools_parse_oaicompat(json::parse(tools));
+}
+
+template <>
+json common_chat_tools_to_json_oaicompat(const std::vector<common_chat_tool> & tools) {
+    if (tools.empty()) {
+        return json();
+    }
+
+    auto result = json::array();
+    for (const auto & tool : tools) {
+        result.push_back({
+            {"type", "function"},
+            {"function", {
+                {"name", tool.name},
+                {"description", tool.description},
+                {"parameters", json::parse(tool.parameters)},
+            }},
+        });
+    }
+    return result;
+}
+
+template <> json common_chat_msg_diff_to_json_oaicompat(const common_chat_msg_diff & diff) {
+    json delta = json::object();
+    if (!diff.reasoning_content_delta.empty()) {
+        delta["reasoning_content"] = diff.reasoning_content_delta;
+    }
+    if (!diff.content_delta.empty()) {
+        delta["content"] = diff.content_delta;
+    }
+    if (diff.tool_call_index != std::string::npos) {
+        json tool_call;
+        tool_call["index"] = diff.tool_call_index;
+        if (!diff.tool_call_delta.id.empty()) {
+            tool_call["id"] = diff.tool_call_delta.id;
+            tool_call["type"] = "function";
+        }
+        json function = json::object();
+        if (!diff.tool_call_delta.name.empty()) {
+            function["name"] = diff.tool_call_delta.name;
+        }
+        function["arguments"] = diff.tool_call_delta.arguments;
+        tool_call["function"] = function;
+        delta["tool_calls"] = json::array({tool_call});
+    }
+    return delta;
+}
+
+bool common_chat_verify_template(const std::string & tmpl, bool use_jinja) {
+    if (use_jinja) {
+        try {
+            common_chat_msg msg;
+            msg.role = "user";
+            msg.content = "test";
+
+            auto tmpls = common_chat_templates_init(/* model= */ nullptr, tmpl);
+
+            common_chat_templates_inputs inputs;
+            inputs.messages = {msg};
+
+            common_chat_templates_apply(tmpls.get(), inputs);
+            return true;
+        } catch (const std::exception & e) {
+            LOG("%s: failed to apply template: %s\n", __func__, e.what());
+            return false;
+        }
+    }
+    llama_chat_message chat[] = {{"user", "test"}};
+    const int res = llama_chat_apply_template(nullptr, tmpl.c_str(), chat, 1, true, nullptr, 0);
+    return res >= 0;
+}
+
+std::string common_chat_format_single(
+        const struct common_chat_templates * tmpls,
+        const std::vector<common_chat_msg> & past_msg,
+        const common_chat_msg & new_msg,
+        bool add_ass,
+        bool use_jinja) {
+
+    common_chat_templates_inputs inputs;
+    inputs.use_jinja = use_jinja;
+    inputs.add_bos = tmpls->add_bos;
+    inputs.add_eos = tmpls->add_eos;
+
+    std::string fmt_past_msg;
+    if (!past_msg.empty()) {
+        inputs.messages = past_msg;
+        inputs.add_generation_prompt = false;
+        fmt_past_msg = common_chat_templates_apply(tmpls, inputs).prompt;
+    }
+    std::ostringstream ss;
+    // if the past_msg ends with a newline, we must preserve it in the formatted version
+    if (add_ass && !fmt_past_msg.empty() && fmt_past_msg.back() == '\n') {
+        ss << "\n";
     };
-    static const std::vector<std::vector<std::string>> args_paths = {
-        {"tool_call", "arguments"},
-        {"tool_calls", "arguments"},
+    // format chat with new_msg
+    inputs.messages.push_back(new_msg);
+    inputs.add_generation_prompt = add_ass;
+    auto fmt_new_msg = common_chat_templates_apply(tmpls, inputs).prompt;
+    // get the diff part
+    ss << fmt_new_msg.substr(fmt_past_msg.size(), fmt_new_msg.size() - fmt_past_msg.size());
+    return ss.str();
+}
+
+std::string common_chat_format_example(const struct common_chat_templates * tmpls, bool use_jinja) {
+    common_chat_templates_inputs inputs;
+    inputs.use_jinja = use_jinja;
+    inputs.add_bos = tmpls->add_bos;
+    inputs.add_eos = tmpls->add_eos;
+    auto add_simple_msg = [&](auto role, auto content) {
+        common_chat_msg msg;
+        msg.role = role;
+        msg.content = content;
+        inputs.messages.push_back(msg);
     };
-    auto data = builder.consume_json_with_dumped_args(args_paths, content_paths);
-    if (data.value.contains("tool_calls")) {
-        if (!builder.add_tool_calls(data.value.at("tool_calls")) || data.is_partial) {
-            throw common_chat_msg_partial_exception("incomplete tool calls");
+    add_simple_msg("system",    "You are a helpful assistant");
+    add_simple_msg("user",      "Hello");
+    add_simple_msg("assistant", "Hi there");
+    add_simple_msg("user",      "How are you?");
+    return common_chat_templates_apply(tmpls, inputs).prompt;
+}
+
+#define CHATML_TEMPLATE_SRC \
+    "{%- for message in messages -%}\n" \
+    "  {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>\n' -}}\n" \
+    "{%- endfor -%}\n" \
+    "{%- if add_generation_prompt -%}\n" \
+    "  {{- '<|im_start|>assistant\n' -}}\n" \
+    "{%- endif -%}"
+
+void common_chat_templates_free(struct common_chat_templates * tmpls) {
+    delete tmpls;
+}
+
+bool common_chat_templates_was_explicit(const struct common_chat_templates * tmpls) {
+    return tmpls->has_explicit_template;
+}
+
+const char * common_chat_templates_source(const struct common_chat_templates * tmpls, const char * variant) {
+    if (variant != nullptr) {
+        if (strcmp(variant, "tool_use") == 0) {
+            if (tmpls->template_tool_use) {
+                return tmpls->template_tool_use->source().c_str();
+            }
+            return nullptr;
+        } else {
+            LOG("%s: unknown template variant: %s\n", __func__, variant);
         }
-    } else if (data.value.contains("tool_call")) {
-        if (!builder.add_tool_call(data.value.at("tool_call")) || data.is_partial) {
-            throw common_chat_msg_partial_exception("incomplete tool call");
+    }
+    return tmpls->template_default->source().c_str();
+}
+
+common_chat_templates_ptr common_chat_templates_init(
+    const struct llama_model * model,
+    const std::string & chat_template_override,
+    const std::string & bos_token_override,
+    const std::string & eos_token_override)
+{
+    std::string default_template_src;
+    std::string template_tool_use_src;
+
+    bool has_explicit_template = !chat_template_override.empty();
+    if (chat_template_override.empty()) {
+        GGML_ASSERT(model != nullptr);
+        const auto * str = llama_model_chat_template(model, /* name */ nullptr);
+        if (str) {
+            default_template_src = str;
+            has_explicit_template = true;
         }
-    } else if (data.value.contains("response")) {
-        const auto & response = data.value.at("response");
-        builder.add_content(response.is_string() ? response.template get<std::string>() : response.dump(2));
-        if (data.is_partial) {
-            throw common_chat_msg_partial_exception("incomplete response");
+        str = llama_model_chat_template(model, /* name */ "tool_use");
+        if (str) {
+            template_tool_use_src = str;
+            has_explicit_template = true;
         }
     } else {
-        throw common_chat_msg_partial_exception("Expected 'tool_call', 'tool_calls' or 'response' in JSON");
+        default_template_src = chat_template_override;
+    }
+    if (default_template_src.empty() || default_template_src == "chatml") {
+        if (!template_tool_use_src.empty()) {
+            default_template_src = template_tool_use_src;
+        } else {
+            default_template_src = CHATML_TEMPLATE_SRC;
+        }
+    }
+
+    // TODO @ngxson : this is a temporary hack to prevent chat template from throwing an error
+    // Ref: https://github.com/ggml-org/llama.cpp/pull/15230#issuecomment-3173959633
+    if (default_template_src.find("<|channel|>") != std::string::npos
+            // search for the error message and patch it
+            && default_template_src.find("in message.content or") != std::string::npos) {
+        string_replace_all(default_template_src,
+            "{%- if \"<|channel|>analysis<|message|>\" in message.content or \"<|channel|>final<|message|>\" in message.content %}",
+            "{%- if false %}");
+    }
+
+    std::string token_bos = bos_token_override;
+    std::string token_eos = eos_token_override;
+    bool add_bos = false;
+    bool add_eos = false;
+    if (model) {
+        const auto * vocab = llama_model_get_vocab(model);
+        const auto get_token = [&](llama_token token, const char * name, const char * jinja_variable_name) {
+            if (token == LLAMA_TOKEN_NULL) {
+                if (default_template_src.find(jinja_variable_name) != std::string::npos
+                    || template_tool_use_src.find(jinja_variable_name) != std::string::npos) {
+                    LOG("common_chat_templates_init: warning: vocab does not have a %s token, jinja template won't work as intended.\n", name);
+                }
+                return std::string();
+            }
+            return llama_token_to_piece(model, token, true);
+        };
+        token_bos = get_token(llama_token_bos(vocab), "BOS", "bos_token");
+        token_eos = get_token(llama_token_eos(vocab), "EOS", "eos_token");
+        add_bos = llama_add_bos_token(model);
+        add_eos = llama_add_eos_token(model);
+    }
+    common_chat_templates_ptr tmpls(new common_chat_templates());
+    tmpls->has_explicit_template = has_explicit_template;
+    tmpls->add_bos = add_bos;
+    tmpls->add_eos = add_eos;
+    try {
+        tmpls->template_default = std::make_unique<minja::chat_template>(default_template_src, token_bos, token_eos);
+    } catch (const std::exception & e) {
+        LOG("%s: failed to parse chat template (defaulting to chatml): %s \n", __func__, e.what());
+        tmpls->template_default = std::make_unique<minja::chat_template>(CHATML_TEMPLATE_SRC, token_bos, token_eos);
+    }
+    if (!template_tool_use_src.empty()) {
+        try {
+            tmpls->template_tool_use = std::make_unique<minja::chat_template>(template_tool_use_src, token_bos, token_eos);
+        } catch (const std::exception & e) {
+            LOG("%s: failed to parse tool use chat template (ignoring it): %s\n", __func__, e.what());
+        }
     }
+    return tmpls;
+}
+
+const char * common_chat_format_name(common_chat_format format) {
+    switch (format) {
+        case COMMON_CHAT_FORMAT_CONTENT_ONLY: return "Content-only";
+        case COMMON_CHAT_FORMAT_GENERIC: return "Generic";
+        case COMMON_CHAT_FORMAT_MISTRAL_NEMO: return "Mistral Nemo";
+        case COMMON_CHAT_FORMAT_LLAMA_3_X: return "Llama 3.x";
+        case COMMON_CHAT_FORMAT_LLAMA_3_X_WITH_BUILTIN_TOOLS: return "Llama 3.x with builtin tools";
+        case COMMON_CHAT_FORMAT_DEEPSEEK_R1: return "DeepSeek R1";
+        case COMMON_CHAT_FORMAT_FIREFUNCTION_V2: return "FireFunction v2";
+        case COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2: return "Functionary v3.2";
+        case COMMON_CHAT_FORMAT_FUNCTIONARY_V3_1_LLAMA_3_1: return "Functionary v3.1 Llama 3.1";
+        case COMMON_CHAT_FORMAT_HERMES_2_PRO: return "Hermes 2 Pro";
+        case COMMON_CHAT_FORMAT_COMMAND_R7B: return "Command R7B";
+        case COMMON_CHAT_FORMAT_GRANITE: return "Granite";
+        case COMMON_CHAT_FORMAT_GPT_OSS: return "GPT-OSS";
+        default:
+            throw std::runtime_error("Unknown chat format");
+    }
+}
+
+const char * common_reasoning_format_name(common_reasoning_format format) {
+    switch (format) {
+        case COMMON_REASONING_FORMAT_NONE:     return "none";
+        case COMMON_REASONING_FORMAT_AUTO:     return "auto";
+        case COMMON_REASONING_FORMAT_DEEPSEEK: return "deepseek";
+        case COMMON_REASONING_FORMAT_DEEPSEEK_LEGACY: return "deepseek-legacy";
+        default:
+            throw std::runtime_error("Unknown reasoning format");
+    }
+}
+
+common_reasoning_format common_reasoning_format_from_name(const std::string& format) {
+    if (format == "none") {
+        return COMMON_REASONING_FORMAT_NONE;
+    }
+    else if (format == "auto") {
+        return COMMON_REASONING_FORMAT_AUTO;
+    }
+    else if (format == "deepseek") {
+        return COMMON_REASONING_FORMAT_DEEPSEEK;
+    }
+    else if (format == "deepseek-legacy") {
+        return COMMON_REASONING_FORMAT_DEEPSEEK_LEGACY;
+    }
+    throw std::runtime_error("Unknown reasoning format: " + format);
 }
 
-// Helper function from original llama.cpp
 static std::string wrap_code_as_arguments(common_chat_msg_parser & builder, const std::string & code) {
     std::string arguments;
     if (builder.is_partial()) {
@@ -119,11 +669,10 @@ static std::string wrap_code_as_arguments(common_chat_msg_parser & builder, cons
     return arguments;
 }
 
-// Forward declaration
-static void parse_deepseek_r1_tools_array(common_chat_msg_parser & builder);
-static void parse_deepseek_r1_xml_wrapped(common_chat_msg_parser & builder);
-
-// Helper function from original llama.cpp for parsing JSON tool calls
+/**
+ * Takes a prefix regex that must have 1 group to capture the function name, a closing suffix, and expects json parameters in between.
+ * Aggregates the prefix, suffix and in-between text into the content.
+ */
 static void parse_json_tool_calls(
     common_chat_msg_parser & builder,
     const std::optional<common_regex> & block_open,
@@ -148,10 +697,7 @@ static void parse_json_tool_calls(
                 if (get_function_name) {
                     name = get_function_name(*res);
                 } else {
-                    if (res->groups.size() < 2) {
-                        from = res->groups[0].begin + 1;
-                        continue;
-                    }
+                    GGML_ASSERT(res->groups.size() == 2);
                     name = builder.str(res->groups[1]);
                 }
                 first = false;
@@ -168,7 +714,7 @@ static void parse_json_tool_calls(
                         if (!builder.add_tool_call(name, "", arguments->value) || arguments->is_partial) {
                             throw common_chat_msg_partial_exception("incomplete tool call");
                         }
-                        builder.try_consume_regex(close_regex);
+                        builder.consume_regex(close_regex);
                     }
                     continue;
                 }
@@ -184,7 +730,7 @@ static void parse_json_tool_calls(
             break;
         }
         if (block_close) {
-            builder.try_consume_regex(*block_close);
+            builder.consume_regex(*block_close);
         }
         builder.consume_spaces();
         builder.add_content(builder.consume_rest());
@@ -200,201 +746,1527 @@ static void parse_json_tool_calls(
     }
 }
 
-void common_chat_parse_deepseek_r1(common_chat_msg_parser & builder) {
-    builder.try_parse_reasoning("<think>", "</think>");
-    if (!builder.syntax().enable_tool_calls) {
+static void parse_prefixed_json_tool_call_array(common_chat_msg_parser & builder, const common_regex & prefix, size_t rstrip_prefix = 0) {
+    static const std::vector<std::vector<std::string>> args_paths = {{"arguments"}};
+    if (auto res = builder.try_find_regex(prefix)) {
+        builder.move_back(rstrip_prefix);
+        auto tool_calls = builder.consume_json_with_dumped_args(args_paths);
+        if (!builder.add_tool_calls(tool_calls.value) || tool_calls.is_partial) {
+            throw common_chat_msg_partial_exception("incomplete tool call array");
+        }
+    } else {
         builder.add_content(builder.consume_rest());
-        return;
     }
+}
 
-    static const common_regex tool_calls_begin("(?:<｜tool▁calls▁begin｜>|<｜tool_calls_begin｜>|<｜tool calls begin｜>|<｜tool\\\\_calls\\\\_begin｜>|<｜tool▁calls｜>)");
-    static const common_regex tool_calls_end("<｜tool▁calls▁end｜>");
-    // Primary regex for correct format with separator
-    static const common_regex function_regex("(?:<｜tool▁call▁begin｜>)?function<｜tool▁sep｜>([^\n]+)\n```json\n");
-    // Fallback regex for format without separator (some models generate this)
-    static const common_regex function_regex_no_sep("(?:<｜tool▁call▁begin｜>)?function<([^>]+)>\n```json\n");
-    // Third regex for new format: just "function" with no markers
-    static const common_regex function_regex_simple("function\n```json\n");
-    static const common_regex close_regex("```[\\s\\r\\n]*<｜tool▁call▁end｜>");
-    static const common_regex close_regex_simple("```");  // For simple format without end markers
-
-    // Check for the new tools array format first (no DeepSeek markers)
-    auto original_pos = builder.pos();
-
-    // First, try the tools array format for content like "function\n```json\n{"tools": [...]}"
-    if (builder.try_find_regex(function_regex_simple)) {
-        builder.move_to(original_pos);
-        try {
-            parse_deepseek_r1_tools_array(builder);
-            return; // Success, we're done
-        } catch (const common_chat_msg_partial_exception&) {
-            // Fall through to try standard DeepSeek patterns
+static void foreach_function(const json & tools, const std::function<void(const json &)> & fn) {
+    for (const auto & tool : tools) {
+        if (!tool.contains("type") || tool.at("type") != "function" || !tool.contains("function")) {
+            LOG("Skipping tool without function: %s", tool.dump(2).c_str());
+            continue;
         }
+        fn(tool);
     }
+}
 
-    // If tools array format didn't work, try XML-wrapped format
-    builder.move_to(original_pos);
-    try {
-        parse_deepseek_r1_xml_wrapped(builder);
-        return; // Success, we're done
-    } catch (const common_chat_msg_partial_exception&) {
-        // Fall through to try standard DeepSeek patterns
+static std::string apply(
+    const common_chat_template & tmpl,
+    const struct templates_params & inputs,
+    const std::optional<json> & messages_override = std::nullopt,
+    const std::optional<json> & tools_override = std::nullopt,
+    const std::optional<json> & additional_context = std::nullopt)
+{
+    minja::chat_template_inputs tmpl_inputs;
+    tmpl_inputs.messages = messages_override ? *messages_override : inputs.messages;
+    if (tools_override) {
+        tmpl_inputs.tools = *tools_override;
+    } else {
+        tmpl_inputs.tools = inputs.tools.empty() ? json() : inputs.tools;
     }
-
-    // If XML wrapper format didn't work, try standard DeepSeek patterns
-    builder.move_to(original_pos);
-    try {
-        parse_json_tool_calls(
-            builder,
-            /* block_open= */ tool_calls_begin,
-            /* function_regex_start_only= */ std::nullopt,
-            function_regex,
-            close_regex,
-            tool_calls_end);
-    } catch (const common_chat_msg_partial_exception&) {
-        // If primary regex fails and we're not in partial mode, try fallback regex
-        if (!builder.is_partial()) {
-            builder.move_to(original_pos);
-            try {
-                parse_json_tool_calls(
-                    builder,
-                    /* block_open= */ tool_calls_begin,
-                    /* function_regex_start_only= */ std::nullopt,
-                    function_regex_no_sep,
-                    close_regex,
-                    tool_calls_end);
-            } catch (const common_chat_msg_partial_exception&) {
-                // Try the simple format without markers as final fallback
-                builder.move_to(original_pos);
-                parse_json_tool_calls(
-                    builder,
-                    /* block_open= */ std::nullopt,
-                    /* function_regex_start_only= */ std::nullopt,
-                    function_regex_simple,
-                    close_regex_simple,
-                    std::nullopt);
-            }
-        } else {
-            throw; // Re-throw for partial mode
-        }
+    tmpl_inputs.add_generation_prompt = inputs.add_generation_prompt;
+    tmpl_inputs.extra_context = inputs.extra_context;
+    if (additional_context) {
+        tmpl_inputs.extra_context.merge_patch(*additional_context);
     }
+    // TODO: add flag to control date/time, if only for testing purposes.
+    // tmpl_inputs.now = std::chrono::system_clock::now();
 
-    // Add any remaining content (critical for responses without tool calls)
-    builder.add_content(builder.consume_rest());
+    minja::chat_template_options tmpl_opts;
+    // To avoid double BOS / EOS tokens, we're manually removing begining / trailing tokens
+    // instead of using `chat_template_options.use_bos_token = false`, since these tokens
+    // may be needed inside the template / between messages too.
+    auto result = tmpl.apply(tmpl_inputs, tmpl_opts);
+    if (inputs.add_bos && string_starts_with(result, tmpl.bos_token())) {
+        result = result.substr(tmpl.bos_token().size());
+    }
+    if (inputs.add_eos && string_ends_with(result, tmpl.eos_token())) {
+        result = result.substr(0, result.size() - tmpl.eos_token().size());
+    }
+    return result;
 }
 
-// Parse DeepSeek R1 tools array format following original llama.cpp parse_prefixed_json_tool_call_array pattern
-static void parse_deepseek_r1_tools_array(common_chat_msg_parser & builder) {
-    static const common_regex prefix("function\n```json\n");
-
+static common_chat_params common_chat_params_init_generic(const common_chat_template & tmpl, const struct templates_params & inputs) {
+    common_chat_params data;
 
-    if (auto res = builder.try_find_regex(prefix)) {
-        // Parse JSON and manually process tools array to convert arguments to strings
-        auto json_result = builder.try_consume_json();
-        if (!json_result) {
-            throw common_chat_msg_partial_exception("invalid JSON");
+    auto tool_call_schemas = json::array();
+    foreach_function(inputs.tools, [&](const json & tool) {
+        const auto & function = tool.at("function");
+        auto tool_schema = json {
+            {"type", "object"},
+            {"properties", {
+                {"name", {
+                    {"type", "string"},
+                    {"const", function.at("name")},
+                }},
+                {"arguments", function.at("parameters")},
+            }},
+            {"required", json::array({"name", "arguments"})},
+        };
+        if (function.contains("description")) {
+            tool_schema["description"] = function.at("description");
         }
-
-
-        // DeepSeek R1 format has "tools" array, manually process each tool
-        if (json_result->json.contains("tools") && json_result->json.at("tools").is_array()) {
-
-            // Manually create tool calls array with string arguments (following original pattern)
-            json tools_with_dumped_args = json::array();
-            for (const auto& tool : json_result->json.at("tools")) {
-                if (tool.contains("name") && tool.contains("arguments")) {
-                    json formatted_tool;
-                    formatted_tool["name"] = tool.at("name");
-                    // Convert arguments object to string (this is what consume_json_with_dumped_args does)
-                    formatted_tool["arguments"] = tool.at("arguments").dump();
-                    tools_with_dumped_args.push_back(formatted_tool);
-                }
+        if (inputs.parallel_tool_calls) {
+            tool_schema.at("properties")["id"] = {
+                {"type", "string"},
+                {"minLength", 4},
+            };
+            tool_schema.at("required").push_back("id");
+        }
+        tool_call_schemas.emplace_back(tool_schema);
+    });
+    const auto tool_call =
+        inputs.parallel_tool_calls
+            ? json {
+                {"type", "object"},
+                {"properties", {
+                    {"tool_calls", {
+                        {"type", "array"},
+                        {"items", tool_call_schemas.size() == 1 ? tool_call_schemas[0] : json {
+                            {"anyOf", tool_call_schemas},
+                        }},
+                        {"minItems", 1},
+                    }},
+                }},
+                {"required", json::array({"tool_calls"})},
             }
+            : json {
+                {"type", "object"},
+                {"properties", {
+                    {"tool_call", tool_call_schemas.size() == 1 ? tool_call_schemas[0] : json {
+                        {"anyOf", tool_call_schemas},
+                    }},
+                }},
+                {"required", json::array({"tool_call"})},
+            };
+    const auto schema =
+        inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED
+            ? json {
+                {"anyOf", json::array({
+                    tool_call,
+                    {
+                        {"type", "object"},
+                        {"properties", {
+                            {"response", inputs.json_schema.is_null()
+                                ? json {{"type", "string"}}
+                                : inputs.json_schema
+                            },
+                        }},
+                        {"required", json::array({"response"})},
+                    },
+                })}
+            }
+            : tool_call;
 
+    data.grammar_lazy = false;
+    data.grammar = build_grammar([&](const common_grammar_builder & builder) {
+        builder.add_schema("root", schema);
+    });
 
-            if (!builder.add_tool_calls(tools_with_dumped_args) || !json_result->healing_marker.marker.empty()) {
-                throw common_chat_msg_partial_exception("incomplete tool call array");
-            }
-        } else {
-            throw common_chat_msg_partial_exception("tools key not found or not array");
-        }
+    auto tweaked_messages = common_chat_template::add_system(
+        inputs.messages,
+        "Respond in JSON format, either with `tool_call` (a request to call tools) or with `response` reply to the user's request");
 
-        // Consume closing ```
-        builder.try_consume_regex(common_regex("```"));
+    data.prompt = apply(tmpl, inputs, /* messages_override= */ tweaked_messages);
+    data.format = COMMON_CHAT_FORMAT_GENERIC;
+    return data;
+}
+static void common_chat_parse_generic(common_chat_msg_parser & builder) {
+    if (!builder.syntax().parse_tool_calls) {
+        builder.add_content(builder.consume_rest());
+        return;
+    }
+    static const std::vector<std::vector<std::string>> content_paths = {
+        {"response"},
+    };
+    static const std::vector<std::vector<std::string>> args_paths = {
+        {"tool_call", "arguments"},
+        {"tool_calls", "arguments"},
+    };
+    auto data = builder.consume_json_with_dumped_args(args_paths, content_paths);
+    if (data.value.contains("tool_calls")) {
+        if (!builder.add_tool_calls(data.value.at("tool_calls")) || data.is_partial) {
+            throw common_chat_msg_partial_exception("incomplete tool calls");
+        }
+    } else if (data.value.contains("tool_call")) {
+        if (!builder.add_tool_call(data.value.at("tool_call")) || data.is_partial) {
+            throw common_chat_msg_partial_exception("incomplete tool call");
+        }
+    } else if (data.value.contains("response")) {
+        const auto & response = data.value.at("response");
+        builder.add_content(response.is_string() ? response.template get<std::string>() : response.dump(2));
+        if (data.is_partial) {
+            throw common_chat_msg_partial_exception("incomplete response");
+        }
     } else {
-        throw common_chat_msg_partial_exception("function prefix not found");
+        throw common_chat_msg_partial_exception("Expected 'tool_call', 'tool_calls' or 'response' in JSON");
     }
 }
 
-// Parse DeepSeek R1 XML-wrapped format following original Hermes-2-Pro pattern
-static void parse_deepseek_r1_xml_wrapped(common_chat_msg_parser & builder) {
+static common_chat_params common_chat_params_init_mistral_nemo(const common_chat_template & tmpl, const struct templates_params & inputs) {
+    common_chat_params data;
+    data.grammar_lazy = inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED;
+    data.grammar = build_grammar([&](const common_grammar_builder & builder) {
+        auto schemas = json::array();
+        foreach_function(inputs.tools, [&](const json & tool) {
+            const auto & function = tool.at("function");
+            schemas.push_back({
+                {"type", "object"},
+                {"properties", {
+                    // Important note: the model is probably trained to take a JSON stringified arguments value.
+                    // It's hard to constrain that for now (while reusing the JSON schema conversion), so we're just expecting a plain object.
+                    {"name", {
+                        {"type", "string"},
+                        {"const", function.at("name")},
+                    }},
+                    {"arguments", function.at("parameters")},
+                    {"id", {
+                        {"type", "string"},
+                        // Nemo's template expects a 9-character alphanumeric ID.
+                        {"pattern", "^[a-zA-Z0-9]{9}$"},
+                    }},
+                }},
+                {"required", json::array({"name", "arguments", "id"})},
+            });
+        });
+        auto schema = json {
+            {"type", "array"},
+            {"items", schemas.size() == 1 ? schemas[0] : json {{"anyOf", schemas}}},
+            {"minItems", 1},
+        };
+        if (!inputs.parallel_tool_calls) {
+            schema["maxItems"] = 1;
+        }
+        builder.add_rule("root", "\"[TOOL_CALLS]\" " + builder.add_schema("tool_calls", schema));
+    });
+    data.grammar_triggers.push_back({COMMON_GRAMMAR_TRIGGER_TYPE_WORD, "[TOOL_CALLS]"});
+    data.preserved_tokens = {
+        "[TOOL_CALLS]",
+    };
+    data.prompt = apply(tmpl, inputs);
+    data.format = COMMON_CHAT_FORMAT_MISTRAL_NEMO;
+    return data;
+}
+static void common_chat_parse_mistral_nemo(common_chat_msg_parser & builder) {
+    if (!builder.syntax().parse_tool_calls) {
+        builder.add_content(builder.consume_rest());
+        return;
+    }
 
-    // Pattern for: <tool_call>\nfunction</think>FunctionName\n```json\n{...}\n```\n</tool_call>
-    static const common_regex xml_pattern(
-        "<tool_call>\\s*"           // Opening XML tag
-        "function</think>([^\\n]+)" // Function name after "function</think>"
-        "\\s*```json\\s*"           // JSON block start
-    );
+    static const common_regex prefix(regex_escape("[TOOL_CALLS]"));
+    parse_prefixed_json_tool_call_array(builder, prefix);
+}
 
-    if (auto res = builder.try_find_regex(xml_pattern)) {
+static common_chat_params common_chat_params_init_command_r7b(const common_chat_template & tmpl, const struct templates_params & inputs) {
+    common_chat_params data;
 
-        // Extract function name from capture group
-        std::string function_name = builder.str(res->groups[1]);
-
-        // Parse JSON arguments
-        auto json_result = builder.try_consume_json();
-        if (!json_result) {
-            throw common_chat_msg_partial_exception("invalid JSON in XML wrapper");
+    auto adjusted_messages = json::array();
+    for (const auto & msg : inputs.messages) {
+        auto has_reasoning_content = msg.contains("reasoning_content") && msg.at("reasoning_content").is_string();
+        auto has_tool_calls = msg.contains("tool_calls") && msg.at("tool_calls").is_array();
+        if (has_reasoning_content && has_tool_calls) {
+            auto adjusted_message = msg;
+            adjusted_message["tool_plan"] = msg.at("reasoning_content");
+            adjusted_message.erase("reasoning_content");
+            adjusted_messages.push_back(adjusted_message);
+        } else {
+            adjusted_messages.push_back(msg);
+        }
+    }
+    data.prompt = apply(tmpl, inputs, /* messages_override= */ adjusted_messages);
+    data.format = COMMON_CHAT_FORMAT_COMMAND_R7B;
+    if (string_ends_with(data.prompt, "<|START_THINKING|>")) {
+        if (!inputs.enable_thinking) {
+            data.prompt += "<|END_THINKING|>";
+        } else {
+            data.thinking_forced_open = true;
         }
+    } else if (!inputs.enable_thinking && string_ends_with(data.prompt, "<|CHATBOT_TOKEN|>")) {
+        data.prompt += "<|START_THINKING|><|END_THINKING|>";
+    }
 
+    data.grammar_lazy = inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED;
+    data.grammar = build_grammar([&](const common_grammar_builder & builder) {
+        auto schemas = json::array();
+        foreach_function(inputs.tools, [&](const json & tool) {
+            const auto & function = tool.at("function");
+            schemas.push_back({
+                {"type", "object"},
+                {"properties", {
+                    {"tool_call_id", {
+                        {"type", "string"},
+                        // Command-R's template expects an integer string.
+                        {"pattern", "^[0-9]{1,10}$"},
+                    }},
+                    {"tool_name", {
+                        {"type", "string"},
+                        {"const", function.at("name")},
+                    }},
+                    {"parameters", function.at("parameters")},
+                }},
+                {"required", json::array({"tool_call_id", "tool_name", "parameters"})},
+            });
+        });
+        auto schema = json {
+            {"type", "array"},
+            {"items", schemas.size() == 1 ? schemas[0] : json {{"anyOf", schemas}}},
+            {"minItems", 1},
+        };
+        if (!inputs.parallel_tool_calls) {
+            schema["maxItems"] = 1;
+        }
+        builder.add_rule("root",
+            std::string(data.thinking_forced_open ? "( \"<|END_THINKING|>\" space )? " : "") +
+            "\"<|START_ACTION|>\" " + builder.add_schema("tool_calls", schema) + " \"<|END_ACTION|>\"");
+    });
+    data.grammar_triggers.push_back({
+        COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN_FULL,
+        // If thinking_forced_open, then we capture the </think> tag in the grammar,
+        // (important for required tool choice) and in the trigger's first capture (decides what is sent to the grammar)
+        std::string(data.thinking_forced_open ? "[\\s\\S]*?(<\\|END_THINKING\\|>\\s*)" : "(?:<\\|START_THINKING\\|>[\\s\\S]*?<\\|END_THINKING\\|>\\s*)?") +
+            "(<\\|START_ACTION\\|>)[\\s\\S]*"
+    });
+    data.preserved_tokens = {
+        "<|START_ACTION|>",
+        "<|END_ACTION|>",
+        "<|START_RESPONSE|>",
+        "<|END_RESPONSE|>",
+        "<|START_THINKING|>",
+        "<|END_THINKING|>",
+    };
+    return data;
+}
 
-        // Create single tool call following original pattern
-        json tool_call;
-        tool_call["name"] = function_name;
-        tool_call["arguments"] = json_result->json.dump();  // Convert to string
+static void common_chat_parse_command_r7b(common_chat_msg_parser & builder) {
+    builder.try_parse_reasoning("<|START_THINKING|>", "<|END_THINKING|>");
 
-        json tool_calls_array = json::array();
-        tool_calls_array.push_back(tool_call);
+    static const common_regex start_action_regex("<\\|START_ACTION\\|>");
+    static const common_regex end_action_regex("<\\|END_ACTION\\|>");
+    static const common_regex start_response_regex("<\\|START_RESPONSE\\|>");
+    static const common_regex end_response_regex("<\\|END_RESPONSE\\|>");
 
+    if (auto res = builder.try_find_regex(start_action_regex)) {
+        // If we didn't extract thoughts, prelude includes them.
+        auto tool_calls = builder.consume_json_with_dumped_args({{"parameters"}});
+        for (const auto & tool_call : tool_calls.value) {
+            std::string name = tool_call.contains("tool_name") ? tool_call.at("tool_name") : "";
+            std::string id = tool_call.contains("tool_call_id") ? tool_call.at("tool_call_id") : "";
+            std::string arguments = tool_call.contains("parameters") ? tool_call.at("parameters") : "";
+            if (!builder.add_tool_call(name, id, arguments) || tool_calls.is_partial) {
+                throw common_chat_msg_partial_exception("incomplete tool call");
+            }
+        }
+        if (tool_calls.is_partial) {
+            throw common_chat_msg_partial_exception("incomplete tool call");
+        }
+        builder.consume_regex(end_action_regex);
+    } else if (auto res = builder.try_find_regex(start_response_regex)) {
+        if (!builder.try_find_regex(end_response_regex)) {
+            builder.add_content(builder.consume_rest());
+            throw common_chat_msg_partial_exception(end_response_regex.str());
+        }
+    } else {
+        builder.add_content(builder.consume_rest());
+    }
+}
 
-        if (!builder.add_tool_calls(tool_calls_array) || !json_result->healing_marker.marker.empty()) {
-            throw common_chat_msg_partial_exception("incomplete XML wrapped tool call");
+static void expect_tool_parameters(const std::string & name, const json & parameters, const std::vector<std::string> & expected_properties) {
+    if (!parameters.is_object() || !parameters.contains("type") || parameters.at("type") != "object" || !parameters.contains("properties") || !parameters.contains("required")) {
+        throw std::runtime_error("Parameters of tool " + name + " must be an object w/ required properties");
+    }
+    const auto & parameters_properties = parameters.at("properties");
+    const auto & parameters_required = parameters.at("required");
+    for (const auto & prop : expected_properties) {
+        if (!parameters_properties.contains(prop)) {
+            throw std::runtime_error("Parameters of tool " + name + " is missing property: " + prop); // NOLINT
+        }
+        if (std::find(parameters_required.begin(), parameters_required.end(), json(prop)) == parameters_required.end()) {
+            throw std::runtime_error("Parameters of tool " + name + " must have property marked as required: " + prop); // NOLINT
         }
+    }
+    if (parameters_properties.size() != expected_properties.size()) {
+        throw std::runtime_error("Parameters of tool " + name + " must only have these properties:" + string_join(expected_properties, ", "));
+    }
+}
+
+static common_chat_params common_chat_params_init_llama_3_x(const common_chat_template & tmpl, const struct templates_params & inputs, bool allow_python_tag_builtin_tools) {
+    auto builtin_tools = json::array();
+    common_chat_params data;
+    if (!inputs.tools.is_null()) {
+        data.grammar_lazy = inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED;
+        data.grammar = build_grammar([&](const common_grammar_builder & builder) {
+            std::vector<std::string> tool_rules;
+
+            auto handle_builtin_tool = [&](const std::string & name, const json & parameters) {
+                if (name == "wolfram_alpha" || name == "web_search" || name == "brave_search") {
+                    // https://github.com/meta-llama/llama-stack/blob/main/llama_stack/providers/remote/tool_runtime/wolfram_alpha/wolfram_alpha.py
+                    // https://github.com/meta-llama/llama-stack/blob/main/llama_stack/providers/remote/tool_runtime/brave_search/brave_search.py
+                    expect_tool_parameters(name, parameters, {"query"});
+                } else if (name == "python" || name == "code_interpreter") {
+                    // https://github.com/meta-llama/llama-stack/blob/main/llama_stack/providers/inline/tool_runtime/code_interpreter/code_interpreter.py
+                    expect_tool_parameters(name, parameters, {"code"});
+                } else {
+                    return false;
+                }
+
+                std::vector<std::string> kvs;
+                for (const auto & [key, value] : parameters.at("properties").items()) {
+                    kvs.push_back("\"" + key + "=\" " + builder.add_schema(name + "-args-" + key, value)); // NOLINT
+                }
+
+                tool_rules.push_back(
+                    builder.add_rule(
+                        name + "-call",
+                        "\"<|python_tag|>" + name + ".call(\" " + string_join(kvs, " \", \" ") + " \")\""));
+                builtin_tools.push_back(name);
+
+                return true;
+            };
 
-        // Consume closing ```\n</tool_call>
-        builder.try_consume_regex(common_regex("```\\s*</tool_call>"));
+            foreach_function(inputs.tools, [&](const json & tool) {
+                const auto & function = tool.at("function");
+                std::string name = function.at("name");
+                auto parameters = function.at("parameters");
+                builder.resolve_refs(parameters);
+
+                // https://github.com/meta-llama/llama-stack/tree/main/llama_stack/providers/remote/tool_runtime
+                if (allow_python_tag_builtin_tools) {
+                    handle_builtin_tool(name, parameters);
+                }
+                tool_rules.push_back(
+                    builder.add_rule(
+                        name + "-call",
+                        "\"{\" space "
+                        "( \"\\\"type\\\"\"       space \":\" space \"\\\"function\\\"\"     space \",\" space )? "
+                        "  \"\\\"name\\\"\"       space \":\" space \"\\\"" + name + "\\\"\" space \",\" space "
+                        "  \"\\\"parameters\\\"\" space \":\" space " + builder.add_schema(name + "-args", parameters) + " "
+                        "\"}\" space"));
+            });
+            // Small models may hallucinate function names so we match anything (*at the start*) that looks like the JSON of a function call, regardless of the name.
+            data.grammar_triggers.push_back({
+                COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN_FULL,
+                "(\\{\\s*(?:\"type\"\\s*:\\s*\"function\"\\s*,\\s*)?\"name\"\\s*:\\s*\")[\\s\\S]*", // + name + "\"[\\s\\S]*",
+            });
+            if (!builtin_tools.empty()) {
+                data.grammar_triggers.push_back({COMMON_GRAMMAR_TRIGGER_TYPE_WORD, "<|python_tag|>"});
+                data.preserved_tokens.push_back("<|python_tag|>");
+            }
+            // Allow a few empty lines on top of the usual constrained json schema space rule.
+            builder.add_rule("root", string_join(tool_rules, " | "));
+            data.additional_stops.push_back("<|eom_id|>");
+        });
+        data.format = allow_python_tag_builtin_tools && !builtin_tools.empty()
+            ? COMMON_CHAT_FORMAT_LLAMA_3_X_WITH_BUILTIN_TOOLS
+            : COMMON_CHAT_FORMAT_LLAMA_3_X;
     } else {
-        throw common_chat_msg_partial_exception("XML wrapper pattern not found");
+        data.format = COMMON_CHAT_FORMAT_CONTENT_ONLY;
+    }
+    data.prompt = apply(tmpl, inputs, /* messages_override =*/ std::nullopt, /* tools_override= */ std::nullopt, json {
+        {"date_string", format_time(inputs.now, "%d %b %Y")},
+        {"tools_in_user_message", false},
+        {"builtin_tools", builtin_tools.empty() ? json() : builtin_tools},
+    });
+    return data;
+}
+static void common_chat_parse_llama_3_1(common_chat_msg_parser & builder, bool with_builtin_tools = false) {
+    if (!builder.syntax().parse_tool_calls) {
+        builder.add_content(builder.consume_rest());
+        return;
     }
+
+    static const common_regex function_regex(
+        "\\s*\\{\\s*(?:\"type\"\\s*:\\s*\"function\"\\s*,\\s*)?\"name\"\\s*:\\s*\"([^\"]+)\"\\s*,\\s*\"parameters\"\\s*: ");
+    static const common_regex close_regex("\\}\\s*");
+
+    static const common_regex function_name_regex("\\s*(\\w+)\\s*\\.\\s*call\\(");
+    static const common_regex arg_name_regex("\\s*(\\w+)\\s*=\\s*");
+
+    if (with_builtin_tools) {
+        static const common_regex builtin_call_regex("<\\|python_tag\\|>");
+        if (auto res = builder.try_find_regex(builtin_call_regex)) {
+            auto fun_res = builder.consume_regex(function_name_regex);
+            auto function_name = builder.str(fun_res.groups[1]);
+
+            common_healing_marker healing_marker;
+            json args = json::object();
+            while (true) {
+                if (auto arg_res = builder.try_consume_regex(arg_name_regex)) {
+                    auto arg_name = builder.str(arg_res->groups[1]);
+                    auto partial = builder.consume_json();
+                    args[arg_name] = partial.json;
+                    healing_marker.marker = partial.healing_marker.marker;
+                    healing_marker.json_dump_marker = partial.healing_marker.json_dump_marker;
+                    builder.consume_spaces();
+                    if (!builder.try_consume_literal(",")) {
+                        break;
+                    }
+                } else {
+                    break;
+                }
+            }
+            builder.consume_literal(")");
+            builder.consume_spaces();
+
+            auto arguments = args.dump();
+            if (!builder.add_tool_call(function_name, "", arguments)) {
+                throw common_chat_msg_partial_exception("Incomplete tool call");
+            }
+            return;
+        }
+    }
+    parse_json_tool_calls(
+        builder,
+        /* block_open= */ std::nullopt,
+        /* function_regex_start_only= */ function_regex,
+        /* function_regex= */ std::nullopt,
+        close_regex,
+        std::nullopt);
+
 }
 
-static void common_chat_parse_kimi_k2(common_chat_msg_parser & builder) {
-    // Delegate to existing Kimi-K2 implementation for backward compatibility
-    auto result = kimi_k2::parse_tool_calls(builder.input());
-    for (const auto& tc_json : result) {
-        common_chat_tool_call tc;
-        tc.id = tc_json.value("id", "");
-        if (tc_json.contains("function") && tc_json["function"].contains("name")) {
-            tc.name = tc_json["function"]["name"];
-            tc.arguments = tc_json["function"].value("arguments", "{}");
-            builder.add_tool_call(tc);
+static common_chat_params common_chat_params_init_deepseek_r1(const common_chat_template & tmpl, const struct templates_params & inputs) {
+    common_chat_params data;
+    auto prompt = apply(tmpl, inputs);
+
+    // Hacks to fix the official (broken) prompt.
+    // It is advisable to use --chat-template-file models/templates/llama-cpp-deepseek-r1.jinja instead,
+    // until the official template is fixed.
+    if (tmpl.source().find("{% if ns.is_tool %}{{'<｜tool▁outputs▁end｜>'}}") != std::string::npos) {
+        // Don't leave the chat dangling after tool results
+        if (string_ends_with(prompt, "<｜tool▁outputs▁end｜>")) {
+            prompt += "<｜end▁of▁sentence｜>";
+            if (inputs.add_generation_prompt) {
+                prompt += "<｜Assistant｜>";
+            }
+        }
+        // Fix up tool call delta example added by Minja
+        prompt = std::regex_replace(
+            prompt,
+            std::regex("(<｜tool▁call▁end｜>)[\\s\\r\\n]*(<｜tool▁outputs▁begin｜>|<｜User｜>)"),
+            "$1<｜tool▁calls▁end｜><｜end▁of▁sentence｜>$2");
+    }
+    data.prompt = prompt;
+    data.format = COMMON_CHAT_FORMAT_DEEPSEEK_R1;
+    if (string_ends_with(data.prompt, "<think>\n")) {
+        if (!inputs.enable_thinking) {
+            data.prompt += "</think>";
+        } else {
+            data.thinking_forced_open = true;
         }
     }
-    // Add cleaned content (removes tool call syntax)
-    builder.add_content(kimi_k2::clean_content(builder.input()));
+
+    if (inputs.tools.is_array() && !inputs.tools.empty()) {
+        data.grammar_lazy = inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED && inputs.json_schema.is_null();
+        data.grammar = build_grammar([&](const common_grammar_builder & builder) {
+            std::vector<std::string> tool_rules;
+            foreach_function(inputs.tools, [&](const json & tool) {
+                const auto & function = tool.at("function");
+                std::string name = function.at("name");
+                auto parameters = function.at("parameters");
+                builder.resolve_refs(parameters);
+                tool_rules.push_back(builder.add_rule(name + "-call",
+                    "( \"<｜tool▁call▁begin｜>\" )? \"function<｜tool▁sep｜>" + name + "\\n"
+                    "```json\\n\" " + builder.add_schema(name + "-args", parameters) + " "
+                    "\"```<｜tool▁call▁end｜>\""));
+            });
+            // Distill Qwen 7B & 32B models seem confused re/ syntax of their tool call opening tag,
+            // so we accept common variants (then it's all constrained)
+            builder.add_rule("root",
+                std::string(data.thinking_forced_open ? "( \"</think>\" space )? " : "") +
+                "( \"<｜tool▁calls▁begin｜>\" | \"<｜tool_calls_begin｜>\" | \"<｜tool calls begin｜>\" | \"<｜tool\\\\_calls\\\\_begin｜>\" | \"<｜tool▁calls｜>\" ) "
+                "(" + string_join(tool_rules, " | ") + ")" + (inputs.parallel_tool_calls ? "*" : "") + " "
+                "\"<｜tool▁calls▁end｜>\""
+                " space");
+            data.grammar_triggers.push_back({
+                COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN_FULL,
+                // If thinking_forced_open, then we capture the </think> tag in the grammar,
+                // (important for required tool choice) and in the trigger's first capture (decides what is sent to the grammar)
+                std::string(data.thinking_forced_open ? "[\\s\\S]*?(</think>\\s*)" : "(?:<think>[\\s\\S]*?</think>\\s*)?") +
+                    "(<｜tool▁calls▁begin｜>|<｜tool_calls_begin｜>|<｜tool calls begin｜>|<｜tool\\\\_calls\\\\_begin｜>|<｜tool▁calls｜>)[\\s\\S]*"
+            });
+            data.preserved_tokens = {
+                "<think>",
+                "</think>",
+                "<｜tool▁calls▁begin｜>",
+                "<｜tool▁call▁begin｜>",
+                "<｜tool▁sep｜>",
+                "<｜tool▁call▁end｜>",
+                "<｜tool▁calls▁end｜",
+            };
+        });
+    }
+    return data;
 }
+static void common_chat_parse_deepseek_r1(common_chat_msg_parser & builder) {
+    builder.try_parse_reasoning("<think>", "</think>");
+    if (!builder.syntax().parse_tool_calls) {
+        builder.add_content(builder.consume_rest());
+        return;
+    }
+
+    static const common_regex tool_calls_begin("(?:<｜tool▁calls▁begin｜>|<｜tool_calls_begin｜>|<｜tool calls begin｜>|<｜tool\\\\_calls\\\\_begin｜>|<｜tool▁calls｜>)");
+    static const common_regex tool_calls_end("<｜tool▁calls▁end｜>");
+    static const common_regex function_regex("(?:<｜tool▁call▁begin｜>)?function<｜tool▁sep｜>([^\n]+)\n```json\n");
+    static const common_regex close_regex("```[\\s\\r\\n]*<｜tool▁call▁end｜>");
+
+    parse_json_tool_calls(
+        builder,
+        /* block_open= */ tool_calls_begin,
+        /* function_regex_start_only= */ std::nullopt,
+        function_regex,
+        close_regex,
+        tool_calls_end);
+}
+
+static common_chat_params common_chat_params_init_gpt_oss(const common_chat_template & tmpl, const struct templates_params & inputs) {
+    common_chat_params data;
+    auto prompt = apply(tmpl, inputs);
+
+    // Check if we need to replace the return token with end token during
+    // inference and without generation prompt. For more details see:
+    // https://github.com/ggml-org/llama.cpp/issues/15417
+    if (inputs.is_inference && !inputs.add_generation_prompt) {
+        static constexpr std::string_view return_token = "<|return|>";
+        static constexpr std::string_view end_token    = "<|end|>";
+        if (size_t pos = prompt.rfind(return_token); pos != std::string::npos) {
+            prompt.replace(pos, return_token.length(), end_token);
+        }
+    }
+
+    data.prompt = prompt;
+    data.format = COMMON_CHAT_FORMAT_GPT_OSS;
+
+    // These special tokens are required to parse properly, so we include them
+    // even if parse_tool_calls is false.
+    data.preserved_tokens = {
+        "<|channel|>",
+        "<|constrain|>",
+        "<|message|>",
+        "<|start|>",
+        "<|end|>",
+    };
+
+    if (!inputs.json_schema.is_null()) {
+        data.grammar_lazy = false;
+        data.grammar = build_grammar([&](const common_grammar_builder& builder) {
+            auto schema = inputs.json_schema;
+            builder.resolve_refs(schema);
+
+            auto not_end = builder.add_rule("not-end",
+                "[^<] | \"<\" [^|] | \"<|\" [^e] | \"<|e\" [^n] | \"<|en\" [^d] | \"<|end\" [^|] | \"<|end|\" [^>]");
+            auto analysis = builder.add_rule("analysis",
+                "\"<|channel|>analysis<|message|>\" ( " + not_end + " )* \"<|end|>\"");
+            auto constraint = builder.add_rule("constraint", "\"<|constrain|>\"? [a-zA-Z0-9_-]+");
+            auto final = builder.add_rule("final",
+                "\"<|channel|>final\" ( \" \" " + constraint + " )? \"<|message|>\" " +
+                builder.add_schema("response", schema)
+            );
+
+            builder.add_rule("root", "( " + analysis + " \"<|start|>assistant\" )? " + final);
+            });
+    }
+
+    if (inputs.tools.is_array() && !inputs.tools.empty()) {
+        data.grammar_lazy = inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED;
+        data.grammar = build_grammar([&](const common_grammar_builder & builder) {
+            // tool calls can appear in commentary or analysis channels
+            auto channel = builder.add_rule("channel", "\"<|channel|>\" ( \"commentary\" | \"analysis\" )");
+
+            std::vector<std::string> tool_rules_recipient_in_role;
+            std::vector<std::string> tool_rules_recipient_in_channel;
+            foreach_function(inputs.tools, [&](const json & tool) {
+                const auto & function = tool.at("function");
+                std::string name = function.at("name");
+                auto parameters = function.at("parameters");
+                builder.resolve_refs(parameters);
+
+                tool_rules_recipient_in_role.push_back(
+                    builder.add_rule(name + "-call",
+                        "\"" + name + "\"" + channel + " \" <|constrain|>json\"? \"<|message|>\" " +
+                        builder.add_schema(name + "-args", parameters)
+                    )
+                );
+
+                tool_rules_recipient_in_channel.push_back(
+                    builder.add_rule(name + "-call",
+                        "\"" + name + "\"" + " \" <|constrain|>json\"? \"<|message|>\" " +
+                        builder.add_schema(name + "-args", parameters)
+                    )
+                );
+            });
+
+            auto recipient_in_role = builder.add_rule("recipient_in_role",
+                "\"<|start|>assistant\"? \" to=functions.\" ( " +
+                string_join(tool_rules_recipient_in_role, " | ") + " )"
+            );
 
+            auto recipient_in_channel = builder.add_rule("recipient_in_channel",
+                channel + " \" to=functions.\" ( " +
+                string_join(tool_rules_recipient_in_channel, " | ") + " )"
+            );
+
+            builder.add_rule("root", recipient_in_role + " | " + recipient_in_channel);
+
+            // Trigger on tool calls that appear in the commentary channel
+            data.grammar_triggers.push_back({
+                COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN,
+                "<\\|channel\\|>(commentary|analysis) to"
+            });
+
+            // Trigger tool calls that appear in the role section, either at the
+            // start or in the middle.
+            data.grammar_triggers.push_back({
+                COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN_FULL,
+                "^ to"
+            });
+
+            data.grammar_triggers.push_back({
+                COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN,
+                "<\\|start\\|>assistant to"
+            });
+        });
+    }
+
+    return data;
+}
 static void common_chat_parse_gpt_oss(common_chat_msg_parser & builder) {
-    // TODO @ngxson : this won't work with --special enabled, we should fix that
-    builder.try_parse_reasoning("<|channel|>analysis<|message|>", "<|start|>assistant<|channel|>final<|message|>");
-    if (!builder.syntax().enable_tool_calls) {
+    static const std::string constraint = "(?: (<\\|constrain\\|>)?([a-zA-Z0-9_-]+))";
+    static const std::string recipient("(?: to=functions\\.([^<\\s]+))");
+
+    static const common_regex start_regex("<\\|start\\|>assistant");
+    static const common_regex analysis_regex("<\\|channel\\|>analysis");
+    static const common_regex final_regex("<\\|channel\\|>final" + constraint + "?");
+    static const common_regex preamble_regex("<\\|channel\\|>commentary");
+    static const common_regex tool_call1_regex(recipient + "<\\|channel\\|>(analysis|commentary)" + constraint + "?");
+    static const common_regex tool_call2_regex("<\\|channel\\|>(analysis|commentary)" + recipient + constraint + "?");
+
+    auto consume_end = [&](bool include_end = false) {
+        if (auto res = builder.try_find_literal("<|end|>")) {
+            return res->prelude + (include_end ? builder.str(res->groups[0]) : "");
+        }
+        return builder.consume_rest();
+    };
+
+    auto handle_tool_call = [&](const std::string & name) {
+        if (auto args = builder.try_consume_json_with_dumped_args({{}})) {
+            if (builder.syntax().parse_tool_calls) {
+                if (!builder.add_tool_call(name, "", args->value) || args->is_partial) {
+                    throw common_chat_msg_partial_exception("incomplete tool call");
+                }
+            } else if (args->is_partial) {
+                throw common_chat_msg_partial_exception("incomplete tool call");
+            }
+        }
+    };
+
+    auto regex_match = [](const common_regex & regex, const std::string & input) -> std::optional<common_regex_match> {
+        auto match = regex.search(input, 0, true);
+        if (match.type == COMMON_REGEX_MATCH_TYPE_FULL) {
+            return match;
+        }
+        return std::nullopt;
+    };
+
+    do {
+        auto header_start_pos = builder.pos();
+        auto content_start = builder.try_find_literal("<|message|>");
+        if (!content_start) {
+            throw common_chat_msg_partial_exception("incomplete header");
+        }
+
+        auto header = content_start->prelude;
+
+        if (auto match = regex_match(tool_call1_regex, header)) {
+            auto group = match->groups[1];
+            auto name = header.substr(group.begin, group.end - group.begin);
+            handle_tool_call(name);
+            continue;
+        }
+
+        if (auto match = regex_match(tool_call2_regex, header)) {
+            auto group = match->groups[2];
+            auto name = header.substr(group.begin, group.end - group.begin);
+            handle_tool_call(name);
+            continue;
+        }
+
+        if (regex_match(analysis_regex, header)) {
+            builder.move_to(header_start_pos);
+            if (builder.syntax().reasoning_format == COMMON_REASONING_FORMAT_NONE || builder.syntax().reasoning_in_content) {
+                builder.add_content(consume_end(true));
+            } else {
+                builder.try_parse_reasoning("<|channel|>analysis<|message|>", "<|end|>");
+            }
+            continue;
+        }
+
+        if(regex_match(final_regex, header) || regex_match(preamble_regex, header)) {
+            builder.add_content(consume_end());
+            continue;
+        }
+
+        // Possibly a malformed message, attempt to recover by rolling
+        // back to pick up the next <|start|>
+        LOG("%s: unknown header from message: %s\n", __func__, header.c_str());
+        builder.move_to(header_start_pos);
+    } while (builder.try_find_regex(start_regex, std::string::npos, false));
+
+    auto remaining = builder.consume_rest();
+    if (!remaining.empty()) {
+        LOG("%s: content after last message: %s\n", __func__, remaining.c_str());
+    }
+}
+
+static common_chat_params common_chat_params_init_firefunction_v2(const common_chat_template & tmpl, const struct templates_params & inputs) {
+    LOG("%s\n", __func__);
+    common_chat_params data;
+    data.prompt = apply(tmpl, inputs, /* messages_override =*/ std::nullopt, /* tools_override= */ json(), json {
+        {"datetime", format_time(inputs.now, "%b %d %Y %H:%M:%S GMT")},
+        {"functions", json(inputs.tools.empty() ? "" : inputs.tools.dump(2))},
+    });
+    if (inputs.tools.is_array() && !inputs.tools.empty()) {
+        data.grammar_lazy = inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED;
+        data.grammar = build_grammar([&](const common_grammar_builder & builder) {
+            auto schemas = json::array();
+            foreach_function(inputs.tools, [&](const json & tool) {
+                const auto & function = tool.at("function");
+                schemas.push_back({
+                    {"type", "object"},
+                    {"properties", {
+                        {"name", {
+                            {"type", "string"},
+                            {"const", function.at("name")},
+                        }},
+                        {"arguments", function.at("parameters")},
+                    }},
+                    {"required", json::array({"name", "arguments", "id"})},
+                });
+            });
+            auto schema = json {
+                {"type", "array"},
+                {"items", schemas.size() == 1 ? schemas[0] : json {{"anyOf", schemas}}},
+                {"minItems", 1},
+            };
+            if (!inputs.parallel_tool_calls) {
+                schema["maxItems"] = 1;
+            }
+            builder.add_rule("root", "\" functools\"? " + builder.add_schema("tool_calls", schema));
+        });
+        data.grammar_triggers.push_back({COMMON_GRAMMAR_TRIGGER_TYPE_WORD, " functools["});
+        data.preserved_tokens = {
+            " functools[",
+        };
+        data.format = COMMON_CHAT_FORMAT_FIREFUNCTION_V2;
+    } else {
+        data.format = COMMON_CHAT_FORMAT_CONTENT_ONLY;
+    }
+    return data;
+}
+static void common_chat_parse_firefunction_v2(common_chat_msg_parser & builder) {
+    if (!builder.syntax().parse_tool_calls) {
         builder.add_content(builder.consume_rest());
         return;
     }
+    static const common_regex prefix(regex_escape(" functools["));
+    parse_prefixed_json_tool_call_array(builder, prefix, /* rstrip_prefix= */ 1);
+}
+
+static common_chat_params common_chat_params_init_functionary_v3_2(const common_chat_template & tmpl, const struct templates_params & inputs) {
+    // >>>all\nlet's call functions>>>fn1\n{"arg1": 1...}\n>>>fn2\n{"arg1": 1...}...
+    // Using ">>>f1\n", ">>>f2\n"... as trigger words for the grammar
+    // If the function is python, we also allow raw python code (if the line after `python\n` doesn't start w/ opening `{`), which the model seems to prefer for multiline code.
+    common_chat_params data;
+    data.prompt = apply(tmpl, inputs);
+    data.format = COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2;
+    if (inputs.tools.is_array() && !inputs.tools.empty()) {
+        data.grammar_lazy = inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED;
+        data.grammar = build_grammar([&](const common_grammar_builder & builder) {
+            std::vector<std::string> first_tool_rules;
+            std::vector<std::string> subsequent_tool_rules;
+            foreach_function(inputs.tools, [&](const json & tool) {
+                const auto & function = tool.at("function");
+                std::string name = function.at("name");
+                auto parameters = function.at("parameters");
+                builder.resolve_refs(parameters);
+                std::string args_pattern = "[\\s\\S]*";
+                auto args_rule = builder.add_schema(name + "-args", parameters);
+                if (name == "python") {
+                    args_rule = builder.add_rule(name + "-maybe-raw-args", args_rule + " | [^{] .*");
+                } else {
+                    args_pattern = "\\{" + args_pattern;
+                }
+                auto call_rule = builder.add_rule(name + "-call", "\"" + name + "\\n\" " + args_rule);
+                first_tool_rules.push_back(call_rule);
+                if (inputs.parallel_tool_calls) {
+                    subsequent_tool_rules.push_back(builder.add_rule(name + "-call2", "\">>>\" " + call_rule));
+                }
+                data.grammar_triggers.push_back({
+                    COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN_FULL,
+                    "((?:[\\s\\S]+?>>>)?" + regex_escape(name) + "\n)" + args_pattern,
+                });
+            });
+            data.preserved_tokens = {
+                "<|end_header_id|>",
+            };
+            auto first_rule = first_tool_rules.empty() ? "" : builder.add_rule("first_tool_call", string_join(first_tool_rules, " | ")) + " space";
+            if (inputs.parallel_tool_calls) {
+                auto subsequent_rule = builder.add_rule("subsequent_tool_call", string_join(subsequent_tool_rules, " | ")) + " space";
+                builder.add_rule("root", first_rule + " (" + subsequent_rule + ")*");
+            } else {
+                builder.add_rule("root", first_rule);
+            }
+
+        });
+    }
+    return data;
+}
+static void common_chat_parse_functionary_v3_2(common_chat_msg_parser & builder) {
+    static const common_regex function_regex_start_only(R"((\w+\n\{|python\n|all\n))");
+    static const common_regex function_regex(R"(>>>(\w+\n\{|python\n|all\n))");
+    static const common_regex close_regex(R"(\s*)");
+
+    parse_json_tool_calls(
+        builder,
+        std::nullopt,
+        function_regex_start_only,
+        function_regex,
+        close_regex,
+        std::nullopt,
+        /* allow_raw_python= */ true,
+        /* get_function_name= */ [&](const auto & res) -> std::string {
+            auto at_start = res.groups[0].begin == 0;
+            auto name = builder.str(res.groups[1]);
+            if (!name.empty() && name.back() == '{') {
+                // Unconsume the opening brace '{' to ensure the JSON parsing goes well.
+                builder.move_back(1);
+            }
+            auto idx = name.find_last_not_of("\n{");
+            name = name.substr(0, idx + 1);
+            if (at_start && name == "all") {
+                return "";
+            }
+            return name;
+        });
+}
+
+static common_chat_params common_chat_params_init_functionary_v3_1_llama_3_1(const common_chat_template & tmpl, const struct templates_params & inputs) {
+    // https://github.com/MeetKai/functionary/blob/main/tests/prompt_test_v3-llama3.1.txt
+    common_chat_params data;
+
+    if (!inputs.tools.is_null()) {
+        std::string python_code_argument_name;
+        auto has_raw_python = false;
+
+        data.grammar_lazy = inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED;
+        data.grammar = build_grammar([&](const common_grammar_builder & builder) {
+            std::vector<std::string> tool_rules;
+            foreach_function(inputs.tools, [&](const json & tool) {
+                const auto & function = tool.at("function");
+                const auto & parameters = function.at("parameters");
+                std::string name = function.at("name");
+                if (name == "python" || name == "ipython") {
+                    if (!parameters.contains("type")) {
+                        throw std::runtime_error("Missing type in python tool");
+                    }
+                    has_raw_python = true;
+                    const auto & type = parameters.at("type");
+                    if (type == "object") {
+                        auto properties = parameters.at("properties");
+                        for (auto it = properties.begin(); it != properties.end(); ++it) {
+                            if (it.value().at("type") == "string") {
+                                if (!python_code_argument_name.empty()) {
+                                    throw std::runtime_error("Multiple string arguments found in python tool");
+                                }
+                                python_code_argument_name = it.key();
+                            }
+                        }
+                        if (python_code_argument_name.empty()) {
+                            throw std::runtime_error("No string argument found in python tool");
+                        }
+                    } else if (type != "string") {
+                        throw std::runtime_error("Invalid type in python tool: " + type.dump());
+                    }
+                }
+                tool_rules.push_back(builder.add_rule(name + "-call", "\"<function=" + name + ">\" " + builder.add_schema(name + "-args", parameters) + " \"</function>\" space"));
+            });
+            if (has_raw_python) {
+                tool_rules.push_back(builder.add_rule("python-call", "\"<|python_tag|>\" .*"));
+                data.grammar_triggers.push_back({COMMON_GRAMMAR_TRIGGER_TYPE_WORD, "<|python_tag|>"});
+                data.preserved_tokens.push_back("<|python_tag|>");
+            }
+            auto tool_call = builder.add_rule("tool_call", string_join(tool_rules, " | ")) + " space";
+            builder.add_rule("root", inputs.parallel_tool_calls ? "(" + tool_call + ")+" : tool_call);
+            data.grammar_triggers.push_back({COMMON_GRAMMAR_TRIGGER_TYPE_WORD, "<function="});
+        });
+        data.format = COMMON_CHAT_FORMAT_FUNCTIONARY_V3_1_LLAMA_3_1;
+    } else {
+        data.format = COMMON_CHAT_FORMAT_CONTENT_ONLY;
+    }
+
+    data.prompt = apply(tmpl, inputs);
+    // TODO: if (has_raw_python)
+    return data;
+}
+static void common_chat_parse_functionary_v3_1_llama_3_1(common_chat_msg_parser & builder) {
+    if (!builder.syntax().parse_tool_calls) {
+        builder.add_content(builder.consume_rest());
+        return;
+    }
+    // This version of Functionary still supports the llama 3.1 tool call format for the python tool.
+    static const common_regex python_tag_regex(regex_escape("<|python_tag|>"));
+
+    static const common_regex function_regex(R"(<function=(\w+)>)");
+    static const common_regex close_regex(R"(</function>)");
+
+    parse_json_tool_calls(
+        builder,
+        /* block_open= */ std::nullopt,
+        /* function_regex_start_only= */ std::nullopt,
+        function_regex,
+        close_regex,
+        std::nullopt);
+
+    if (auto res = builder.try_find_regex(python_tag_regex)) {
+        auto arguments = wrap_code_as_arguments(builder, builder.consume_rest());
+        builder.add_tool_call("python", "", arguments);
+        return;
+    }
+}
+
+static common_chat_params common_chat_params_init_hermes_2_pro(const common_chat_template & tmpl, const struct templates_params & inputs) {
+    common_chat_params data;
+
+    json extra_context = json {
+        {"enable_thinking", inputs.enable_thinking},
+    };
+    extra_context.update(inputs.extra_context);
+
+    data.prompt = apply(tmpl, inputs, /* messages_override =*/ std::nullopt, /* tools_override= */ std::nullopt, extra_context);
+    data.format = COMMON_CHAT_FORMAT_HERMES_2_PRO;
+    if (string_ends_with(data.prompt, "<think>\n")) {
+        if (!extra_context["enable_thinking"]) {
+            data.prompt += "</think>";
+        } else {
+            data.thinking_forced_open = true;
+        }
+    }
+
+    if (!inputs.tools.is_null()) {
+        // (content)?(<tool_call>{"name": "foo", "arguments": {"a": 1}}</tool_call>)*
+        data.grammar_lazy = inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED;
+        data.grammar = build_grammar([&](const common_grammar_builder & builder) {
+            std::vector<std::string> tool_rules;
+            std::vector<std::string> tool_call_alts;
+            std::vector<std::string> escaped_names;
+            foreach_function(inputs.tools, [&](const json & tool) {
+                const auto & function = tool.at("function");
+                std::string name = function.at("name");
+                auto parameters = function.at("parameters");
+                builder.resolve_refs(parameters);
+                tool_rules.push_back(builder.add_schema(name + "-call", {
+                    {"type", "object"},
+                    {"properties", json {
+                        {"name", json {{"const", name}}},
+                        {"arguments", parameters},
+                    }},
+                    {"required", json::array({"name", "arguments"})},
+                }));
+                tool_call_alts.push_back(builder.add_rule(
+                    name + "-function-tag",
+                    "\"<function\" ( \"=" + name + "\" | \" name=\\\"" + name + "\\\"\" ) \">\" space " +
+                    builder.add_schema(name + "-args", parameters) + " "
+                    "\"</function>\" space"));
+
+                data.grammar_triggers.push_back({
+                    COMMON_GRAMMAR_TRIGGER_TYPE_WORD,
+                    "<function=" + name + ">",
+                });
+                auto escaped_name = regex_escape(name);
+                data.grammar_triggers.push_back({
+                    COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN,
+                    "<function\\s+name\\s*=\\s*\"" + escaped_name + "\"",
+                });
+                escaped_names.push_back(escaped_name);
+            });
+            auto any_tool_call = builder.add_rule("any_tool_call", "( " + string_join(tool_rules, " | ") + " ) space");
+            std::vector<std::string> alt_tags {
+                any_tool_call,
+                "\"<tool_call>\" space "     + any_tool_call + " \"</tool_call>\"",
+                // The rest is just to accommodate common "good bad" outputs.
+                "\"<function_call>\" space " + any_tool_call + " \"</function_call>\"",
+                "\"<response>\"  space "     + any_tool_call + " \"</response>\"",
+                "\"<tools>\"     space "     + any_tool_call + " \"</tools>\"",
+                "\"<json>\"      space "     + any_tool_call + " \"</json>\"",
+                "\"<xml>\"      space "     + any_tool_call + " \"</xml>\"",
+                "\"<JSON>\"      space "     + any_tool_call + " \"</JSON>\"",
+            };
+            auto wrappable_tool_call = builder.add_rule("wrappable_tool_call", "( " + string_join(alt_tags, " | ") + " ) space");
+            tool_call_alts.push_back(wrappable_tool_call);
+            tool_call_alts.push_back(
+                "( \"```\\n\" | \"```json\\n\" | \"```xml\\n\" ) space " + wrappable_tool_call + " space \"```\" space ");
+            auto tool_call = builder.add_rule("tool_call", string_join(tool_call_alts, " | "));
+            builder.add_rule("root",
+                std::string(data.thinking_forced_open ? "( \"</think>\" space )? " : "") +
+                (inputs.parallel_tool_calls ? "(" + tool_call + ")+" : tool_call));
+            // Trigger on some common known "good bad" outputs (only from the start and with a json that's about a specific argument name to avoid false positives)
+            data.grammar_triggers.push_back({
+                COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN_FULL,
+                // If thinking_forced_open, then we capture the </think> tag in the grammar,
+                // (important for required tool choice) and in the trigger's first capture (decides what is sent to the grammar)
+                std::string(data.thinking_forced_open ? "[\\s\\S]*?(</think>\\s*)" : "(?:<think>[\\s\\S]*?</think>\\s*)?") + (
+                    "(\\s*"
+                    "(?:<tool_call>"
+                    "|<function"
+                    "|(?:```(?:json|xml)?\n\\s*)?(?:<function_call>|<tools>|<xml><json>|<response>)?"
+                    "\\s*\\{\\s*\"name\"\\s*:\\s*\"(?:" + string_join(escaped_names, "|") + ")\""
+                    ")"
+                    ")[\\s\\S]*"
+                ),
+            });
+            data.preserved_tokens = {
+                "<think>",
+                "</think>",
+                "<tool_call>",
+                "</tool_call>",
+                "<function",
+                "<tools>",
+                "</tools>",
+                "<response>",
+                "</response>",
+                "<function_call>",
+                "</function_call>",
+                "<json>",
+                "</json>",
+                "<JSON>",
+                "</JSON>",
+                "```",
+                "```json",
+                "```xml",
+            };
+        });
+    }
+
+    return data;
+}
+static void common_chat_parse_hermes_2_pro(common_chat_msg_parser & builder) {
+    builder.try_parse_reasoning("<think>", "</think>");
+    if (!builder.syntax().parse_tool_calls) {
+        builder.add_content(builder.consume_rest());
+        return;
+    }
+
+    static const common_regex open_regex(
+        "(?:"
+            "(```(?:xml|json)?\\n\\s*)?" // match 1 (block_start)
+            "("                          // match 2 (open_tag)
+                "<tool_call>"
+                "|<function_call>"
+                "|<tool>"
+                "|<tools>"
+                "|<response>"
+                "|<json>"
+                "|<xml>"
+                "|<JSON>"
+            ")?"
+            "(\\s*\\{\\s*\"name\")" // match 3 (named tool call)
+        ")"
+        "|<function=([^>]+)>"            // match 4 (function name)
+        "|<function name=\"([^\"]+)\">"  // match 5 (function name again)
+    );
+
+    while (auto res = builder.try_find_regex(open_regex)) {
+        const auto & block_start = res->groups[1];
+        std::string block_end = block_start.empty() ? "" : "```";
+
+        const auto & open_tag = res->groups[2];
+        std::string close_tag;
+
+        if (!res->groups[3].empty()) {
+            builder.move_to(res->groups[3].begin);
+            close_tag = open_tag.empty() ? "" : "</" + builder.str(open_tag).substr(1);
+
+            if (auto tool_call = builder.try_consume_json_with_dumped_args({{"arguments"}})) {
+                if (!builder.add_tool_call(tool_call->value) || tool_call->is_partial) {
+                    throw common_chat_msg_partial_exception("incomplete tool call");
+                }
+                builder.consume_spaces();
+                builder.consume_literal(close_tag);
+                builder.consume_spaces();
+                if (!block_end.empty()) {
+                    builder.consume_literal(block_end);
+                    builder.consume_spaces();
+                }
+            } else {
+                throw common_chat_msg_partial_exception("failed to parse tool call");
+            }
+        } else {
+            auto function_name = builder.str(res->groups[4]);
+            if (function_name.empty()) {
+                function_name = builder.str(res->groups[5]);
+            }
+            GGML_ASSERT(!function_name.empty());
+
+            close_tag = "</function>";
+
+            if (auto arguments = builder.try_consume_json_with_dumped_args({{}})) {
+                if (!builder.add_tool_call(function_name, "", arguments->value) || arguments->is_partial) {
+                    throw common_chat_msg_partial_exception("incomplete tool call");
+                }
+                builder.consume_spaces();
+                builder.consume_literal(close_tag);
+                builder.consume_spaces();
+                if (!block_end.empty()) {
+                    builder.consume_literal(block_end);
+                    builder.consume_spaces();
+                }
+            }
+        }
+    }
+
+    builder.add_content(builder.consume_rest());
+}
+
+static common_chat_params common_chat_params_init_granite(const common_chat_template & tmpl, const struct templates_params & inputs) {
+    common_chat_params data;
+
+    // Pass thinking context for Granite template
+    json additional_context = {
+        {"thinking", inputs.enable_thinking},
+    };
+
+    data.prompt = apply(tmpl, inputs, /* messages_override= */ std::nullopt, /* tools_override= */ std::nullopt, additional_context);
+    data.format = COMMON_CHAT_FORMAT_GRANITE;
+
+    if (string_ends_with(data.prompt, "<think>\n") || string_ends_with(data.prompt, "<think>")) {
+        if (!inputs.enable_thinking) {
+            data.prompt += "</think>";
+        } else {
+            data.thinking_forced_open = true;
+        }
+    }
+
+    if (!inputs.tools.is_null()) {
+        // Granite uses <|tool_call|> followed by JSON list
+        data.grammar_lazy = inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_REQUIRED;
+        data.grammar = build_grammar([&](const common_grammar_builder & builder) {
+            std::vector<std::string> tool_rules;
+            foreach_function(inputs.tools, [&](const json & tool) {
+                const auto & function = tool.at("function");
+                std::string name = function.at("name");
+                auto parameters = function.at("parameters");
+                builder.resolve_refs(parameters);
+                tool_rules.push_back(builder.add_rule(name + "-call", builder.add_schema(name +
+"-args", {
+                    {"type", "object"},
+                    {"properties", {
+                        {"name", {{"const", name}}},
+                        {"arguments", parameters},
+                    }},
+                    {"required", json::array({"name", "arguments"})},
+                })));
+            });
+
+            auto tool_call = builder.add_rule("tool_call", string_join(tool_rules, " | "));
+            auto tool_list = builder.add_rule("tool_list", "\"[\" space " + tool_call + " (\",\" space " + tool_call + ")* space \"]\"");
+
+            if (data.thinking_forced_open) {
+                builder.add_rule("root", "\"</think>\" space \"<response>\" space [^<]* \"</response>\" space \"<|tool_call|>\" space " + tool_list);
+            } else {
+                builder.add_rule("root", "\"<|tool_call|>\" space " + tool_list);
+            }
+
+            data.grammar_triggers.push_back({
+                COMMON_GRAMMAR_TRIGGER_TYPE_WORD,
+                "<|tool_call|>"
+            });
+
+            data.preserved_tokens = {
+                "<think>",
+                "</think>",
+                "<response>",
+                "</response>",
+                "<|tool_call|>",
+            };
+        });
+    } else {
+        // Handle thinking tags for non-tool responses
+        if (data.thinking_forced_open && inputs.enable_thinking) {
+            data.grammar_lazy = false;
+            data.grammar = build_grammar([&](const common_grammar_builder & builder) {
+                builder.add_rule("root", "\"</think>\" space \"<response>\" space .* \"</response>\" space");
+            });
+            data.preserved_tokens = {
+                "<think>",
+                "</think>",
+                "<response>",
+                "</response>",
+            };
+        }
+    }
+
+    return data;
+}
+
+static void common_chat_parse_granite(common_chat_msg_parser & builder) {
+    // Parse thinking tags
+    builder.try_parse_reasoning("<think>", "</think>");
+
+    // Parse response tags using regex
+    static const common_regex response_regex("<response>([\\s\\S]*?)</response>");
+    if (auto res = builder.try_find_regex(response_regex)) {
+        // Extract the content between the tags (capture group 1)
+        auto content = builder.str(res->groups[1]);
+        builder.add_content(content);
+        builder.move_to(res->groups[0].end);
+    }
+
+    if (!builder.syntax().parse_tool_calls) {
+        builder.add_content(builder.consume_rest());
+        return;
+    }
+
+    // Look for tool calls
+    static const common_regex tool_call_regex(regex_escape("<|tool_call|>"));
+    if (auto res = builder.try_find_regex(tool_call_regex)) {
+        builder.move_to(res->groups[0].end);
+
+        // Expect JSON array of tool calls
+        auto tool_calls_data = builder.consume_json();
+        if (tool_calls_data.json.is_array()) {
+            if (!builder.add_tool_calls(tool_calls_data.json)) {
+                builder.add_content("<|tool_call|>" + tool_calls_data.json.dump());
+            }
+        } else {
+            builder.add_content("<|tool_call|>" + tool_calls_data.json.dump());
+        }
+    } else {
+        builder.add_content(builder.consume_rest());
+    }
+}
+
+static common_chat_params common_chat_params_init_without_tools(const common_chat_template & tmpl, const struct templates_params & inputs) {
+    common_chat_params data;
+    data.prompt = apply(tmpl, inputs);
+    data.format = COMMON_CHAT_FORMAT_CONTENT_ONLY;
+    data.grammar_lazy = false;
+    if (!inputs.json_schema.is_null()) {
+        if (!inputs.grammar.empty()) {
+            throw std::runtime_error("Either \"json_schema\" or \"grammar\" can be specified, but not both");
+        }
+        data.grammar = json_schema_to_grammar(inputs.json_schema);
+    } else {
+        data.grammar = inputs.grammar;
+    }
+    return data;
+}
+
+static common_chat_params common_chat_templates_apply_jinja(
+    const struct common_chat_templates * tmpls,
+    const struct common_chat_templates_inputs & inputs)
+{
+    templates_params params;
+    params.tools = common_chat_tools_to_json_oaicompat<json>(inputs.tools);
+    const auto & tmpl = params.tools.is_array() && tmpls->template_tool_use
+        ? *tmpls->template_tool_use
+        : *tmpls->template_default;
+    const auto & src = tmpl.source();
+    const auto & caps = tmpl.original_caps();
+    params.messages = common_chat_msgs_to_json_oaicompat<json>(inputs.messages, /* concat_text= */ !tmpl.original_caps().requires_typed_content);
+    params.add_generation_prompt = inputs.add_generation_prompt;
+    params.tool_choice = inputs.tool_choice;
+    params.enable_thinking = inputs.enable_thinking;
+    params.grammar = inputs.grammar;
+    params.now = inputs.now;
+    params.add_bos = tmpls->add_bos;
+    params.add_eos = tmpls->add_eos;
+
+    params.extra_context = json::object();
+    for (auto el : inputs.chat_template_kwargs) {
+        params.extra_context[el.first] = json::parse(el.second);
+    }
+
+    if (!inputs.json_schema.empty()) {
+        params.json_schema = json::parse(inputs.json_schema);
+    }
+
+    if (inputs.parallel_tool_calls && !tmpl.original_caps().supports_parallel_tool_calls) {
+        LOG("Disabling parallel_tool_calls because the template does not support it\n");
+        params.parallel_tool_calls = false;
+    } else {
+        params.parallel_tool_calls = inputs.parallel_tool_calls;
+    }
+
+    if (params.tools.is_array()) {
+        if (params.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE && !params.grammar.empty()) {
+            throw std::runtime_error("Cannot specify grammar with tools");
+        }
+        if (caps.supports_tool_calls && !caps.supports_tools) {
+            LOG("Template supports tool calls but does not natively describe tools. The fallback behaviour used may produce bad results, inspect prompt w/ --verbose & consider overriding the template.\n");
+        }
+    }
+
+    // DeepSeek R1: use handler in all cases except json schema (thinking / tools).
+    if (src.find("<｜tool▁calls▁begin｜>") != std::string::npos && params.json_schema.is_null()) {
+        return common_chat_params_init_deepseek_r1(tmpl, params);
+    }
+
+    // Command R7B: : use handler in all cases except json schema (thinking / tools).
+    if (src.find("<|END_THINKING|><|START_ACTION|>") != std::string::npos && params.json_schema.is_null()) {
+        return common_chat_params_init_command_r7b(tmpl, params);
+    }
+
+    // Granite (IBM) - detects thinking / tools support
+    if (src.find("elif thinking") != std::string::npos && src.find("<|tool_call|>") != std::string::npos) {
+        return common_chat_params_init_granite(tmpl, params);
+    }
+
+    // Hermes 2/3 Pro, Qwen 2.5 Instruct (w/ tools)
+    if (src.find("<tool_call>") != std::string::npos && params.json_schema.is_null()) {
+        return common_chat_params_init_hermes_2_pro(tmpl, params);
+    }
+
+    // GPT-OSS
+    if (src.find("<|channel|>") != std::string::npos && params.json_schema.is_null()) {
+        return common_chat_params_init_gpt_oss(tmpl, params);
+    }
+
+    // Use generic handler when mixing tools + JSON schema.
+    // TODO: support that mix in handlers below.
+    if ((params.tools.is_array() && params.json_schema.is_object())) {
+        return common_chat_params_init_generic(tmpl, params);
+    }
+
+    // Functionary prepends "all\n" to plain content outputs, so we use its handler in all cases.
+    if (src.find(">>>all") != std::string::npos) {
+        return common_chat_params_init_functionary_v3_2(tmpl, params);
+    }
+
+    // Firefunction v2 requires datetime and functions in the context even w/o tools, so we also use its handler in all cases.
+    if (src.find(" functools[") != std::string::npos) {
+        return common_chat_params_init_firefunction_v2(tmpl, params);
+    }
+
+    // Functionary v3.1 (w/ tools)
+    if (src.find("<|start_header_id|>") != std::string::npos
+        && src.find("<function=") != std::string::npos) {
+        return common_chat_params_init_functionary_v3_1_llama_3_1(tmpl, params);
+    }
+
+    // Llama 3.1, 3.2, 3.3 (also requires date_string so using it even w/o tools)
+    if (src.find("<|start_header_id|>ipython<|end_header_id|>") != std::string::npos) {
+        auto allow_python_tag_builtin_tools = src.find("<|python_tag|>") != std::string::npos;
+        return common_chat_params_init_llama_3_x(tmpl, params, allow_python_tag_builtin_tools);
+    }
+
+    // Plain handler (no tools)
+    if (params.tools.is_null() || inputs.tool_choice == COMMON_CHAT_TOOL_CHOICE_NONE) {
+        return common_chat_params_init_without_tools(tmpl, params);
+    }
+
+    // Mistral Nemo (w/ tools)
+    if (src.find("[TOOL_CALLS]") != std::string::npos) {
+        return common_chat_params_init_mistral_nemo(tmpl, params);
+    }
+
+    // Generic fallback
+    return common_chat_params_init_generic(tmpl, params);
+}
+
+// Legacy template route (adhoc C++ implementation of known templates), forward to llama_chat_apply_template.
+static common_chat_params common_chat_templates_apply_legacy(
+    const struct common_chat_templates * tmpls,
+    const struct common_chat_templates_inputs & inputs)
+{
+    int alloc_size = 0;
+    std::vector<llama_chat_message> chat;
+    std::vector<std::string> contents;
+
+    for (const auto & msg : inputs.messages) {
+        auto content = msg.content;
+        for (const auto & part : msg.content_parts) {
+            if (part.type != "text") {
+                LOG("Ignoring non-text content part: %s\n", part.type.c_str());
+                continue;
+            }
+            if (!content.empty()) {
+                content += "\n";;
+            }
+            content += part.text;
+        }
+        contents.emplace_back(std::move(content));
+    }
+    for (size_t i = 0; i < contents.size(); ++i) {
+        const auto & msg = inputs.messages[i];
+        const auto & content = contents[i];
+        chat.push_back({msg.role.c_str(), content.c_str()});
+        alloc_size += (msg.role.size() + content.size()) * 1.25;
+    }
+
+    std::vector<char> buf(alloc_size);
+
+    // run the first time to get the total output length
+    const auto & src = tmpls->template_default->source();
+    int32_t res = llama_chat_apply_template(nullptr, src.c_str(), chat.data(), chat.size(), inputs.add_generation_prompt, buf.data(), buf.size());
+
+    // error: chat template is not supported
+    if (res < 0) {
+        // if the custom "tmpl" is not supported, we throw an error
+        // this is a bit redundant (for good), since we're not sure if user validated the custom template with llama_chat_verify_template()
+        throw std::runtime_error("this custom template is not supported, try using --jinja");
+    }
+
+    // if it turns out that our buffer is too small, we resize it
+    if ((size_t) res > buf.size()) {
+        buf.resize(res);
+        res = llama_chat_apply_template(nullptr, src.c_str(), chat.data(), chat.size(), inputs.add_generation_prompt, buf.data(), buf.size());
+    }
+
+    common_chat_params params;
+    params.prompt = std::string(buf.data(), res);
+    if (!inputs.json_schema.empty()) {
+        params.grammar = json_schema_to_grammar(json::parse(inputs.json_schema));
+    } else {
+        params.grammar = inputs.grammar;
+    }
+    return params;
+}
+
+common_chat_params common_chat_templates_apply(
+    const struct common_chat_templates * tmpls,
+    const struct common_chat_templates_inputs & inputs)
+{
+    GGML_ASSERT(tmpls != nullptr);
+    return inputs.use_jinja
+        ? common_chat_templates_apply_jinja(tmpls, inputs)
+        : common_chat_templates_apply_legacy(tmpls, inputs);
+}
+
+static void common_chat_parse_content_only(common_chat_msg_parser & builder) {
+    builder.add_content(builder.consume_rest());
 }
 
-// Main parsing dispatch function
 static void common_chat_parse(common_chat_msg_parser & builder) {
+    LOG("Parsing input with format %s: %s\n", common_chat_format_name(builder.syntax().format), builder.input().c_str());
+
     switch (builder.syntax().format) {
         case COMMON_CHAT_FORMAT_CONTENT_ONLY:
             common_chat_parse_content_only(builder);
@@ -402,11 +2274,35 @@ static void common_chat_parse(common_chat_msg_parser & builder) {
         case COMMON_CHAT_FORMAT_GENERIC:
             common_chat_parse_generic(builder);
             break;
+        case COMMON_CHAT_FORMAT_MISTRAL_NEMO:
+            common_chat_parse_mistral_nemo(builder);
+            break;
+        case COMMON_CHAT_FORMAT_LLAMA_3_X:
+            common_chat_parse_llama_3_1(builder);
+            break;
+        case COMMON_CHAT_FORMAT_LLAMA_3_X_WITH_BUILTIN_TOOLS:
+            common_chat_parse_llama_3_1(builder, /* with_builtin_tools= */ true);
+            break;
         case COMMON_CHAT_FORMAT_DEEPSEEK_R1:
             common_chat_parse_deepseek_r1(builder);
             break;
-        case COMMON_CHAT_FORMAT_KIMI_K2:
-            common_chat_parse_kimi_k2(builder);
+        case COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2:
+            common_chat_parse_functionary_v3_2(builder);
+            break;
+        case COMMON_CHAT_FORMAT_FUNCTIONARY_V3_1_LLAMA_3_1:
+            common_chat_parse_functionary_v3_1_llama_3_1(builder);
+            break;
+        case COMMON_CHAT_FORMAT_HERMES_2_PRO:
+            common_chat_parse_hermes_2_pro(builder);
+            break;
+        case COMMON_CHAT_FORMAT_FIREFUNCTION_V2:
+            common_chat_parse_firefunction_v2(builder);
+            break;
+        case COMMON_CHAT_FORMAT_COMMAND_R7B:
+            common_chat_parse_command_r7b(builder);
+            break;
+        case COMMON_CHAT_FORMAT_GRANITE:
+            common_chat_parse_granite(builder);
             break;
         case COMMON_CHAT_FORMAT_GPT_OSS:
             common_chat_parse_gpt_oss(builder);
@@ -417,46 +2313,21 @@ static void common_chat_parse(common_chat_msg_parser & builder) {
     builder.finish();
 }
 
-// Main public parsing function
 common_chat_msg common_chat_parse(const std::string & input, bool is_partial, const common_chat_syntax & syntax) {
     common_chat_msg_parser builder(input, is_partial, syntax);
     try {
         common_chat_parse(builder);
     } catch (const common_chat_msg_partial_exception & ex) {
+        LOG("Partial parse: %s\n", ex.what());
         if (!is_partial) {
-            // Fallback to content-only on parsing errors
             builder.clear_tools();
             builder.move_to(0);
             common_chat_parse_content_only(builder);
         }
-        // Re-throw for partial cases to signal incomplete parsing
-        if (is_partial) {
-            throw;
-        }
     }
-    return builder.result();
-}
-
-// Get format name for debugging/logging
-const char* common_chat_format_name(common_chat_format format) {
-    switch (format) {
-        case COMMON_CHAT_FORMAT_CONTENT_ONLY: return "content_only";
-        case COMMON_CHAT_FORMAT_GENERIC:      return "generic";
-        case COMMON_CHAT_FORMAT_DEEPSEEK_R1:  return "deepseek_r1";
-        case COMMON_CHAT_FORMAT_KIMI_K2:      return "kimi_k2";
-        case COMMON_CHAT_FORMAT_GPT_OSS:      return "GPT-OSS";
-        default:                              return "unknown";
-    }
-}
-
-const char * common_reasoning_format_name(common_reasoning_format format) {
-    switch (format) {
-        case COMMON_REASONING_FORMAT_NONE:     return "none";
-        case COMMON_REASONING_FORMAT_AUTO:     return "auto";
-        case COMMON_REASONING_FORMAT_DEEPSEEK: return "deepseek";
-        case COMMON_REASONING_FORMAT_DEEPSEEK_LEGACY: return "deepseek-legacy";
-        default:
-            throw std::runtime_error("Unknown reasoning format");
+    auto msg = builder.result();
+    if (!is_partial) {
+        LOG("Parsed message: %s\n", common_chat_msgs_to_json_oaicompat<json>({msg}).at(0).dump().c_str());
     }
+    return msg;
 }
-
diff --git a/common/chat.h b/common/chat.h
index 83e31566d..33553e3a9 100644
--- a/common/chat.h
+++ b/common/chat.h
@@ -1,37 +1,16 @@
-// Chat support with builder pattern for llama.cpp compatibility
+// Chat support (incl. tool call grammar constraining & output parsing) w/ generic & custom template handlers.
+
 #pragma once
 
 #include "common.h"
+#include <functional>
+#include <chrono>
 #include <string>
 #include <vector>
-#include <functional>
+#include <map>
 
-// Forward declarations
 struct common_chat_templates;
 
-// Basic data structures compatible with original llama.cpp
-struct common_string_range {
-    size_t begin;
-    size_t end;
-
-    common_string_range(size_t begin, size_t end) : begin(begin), end(end) {
-        if (begin > end) {
-            throw std::runtime_error("Invalid range");
-        }
-    }
-
-    // prevent default ctor
-    common_string_range() = delete;
-
-    bool empty() const {
-        return begin == end;
-    }
-
-    bool operator==(const common_string_range & other) const {
-        return begin == other.begin && end == other.end;
-    }
-};
-
 struct common_chat_tool_call {
     std::string name;
     std::string arguments;
@@ -40,10 +19,6 @@ struct common_chat_tool_call {
     bool operator==(const common_chat_tool_call & other) const {
         return name == other.name && arguments == other.arguments && id == other.id;
     }
-
-    bool operator!=(const common_chat_tool_call & other) const {
-        return !(*this == other);
-    }
 };
 
 struct common_chat_msg_content_part {
@@ -64,11 +39,11 @@ struct common_chat_msg {
     std::string tool_name;
     std::string tool_call_id;
 
+    template <class T> T to_json_oaicompat() const;
+
     bool empty() const {
-        return content.empty() && content_parts.empty() && tool_calls.empty() &&
-               reasoning_content.empty() && tool_name.empty() && tool_call_id.empty();
+        return content.empty() && content_parts.empty() && tool_calls.empty() && reasoning_content.empty() && tool_name.empty() && tool_call_id.empty();
     }
-
     void ensure_tool_call_ids_set(std::vector<std::string> & ids_cache, const std::function<std::string()> & gen_tool_call_id) {
         for (auto i = 0u; i < tool_calls.size(); i++) {
             if (ids_cache.size() <= i) {
@@ -81,7 +56,6 @@ struct common_chat_msg {
             tool_calls[i].id = ids_cache[i];
         }
     }
-
     bool operator==(const common_chat_msg & other) const {
         return role == other.role
             && content == other.content
@@ -91,7 +65,6 @@ struct common_chat_msg {
             && tool_name == other.tool_name
             && tool_call_id == other.tool_call_id;
     }
-
     bool operator!=(const common_chat_msg & other) const {
         return !(*this == other);
     }
@@ -110,10 +83,6 @@ struct common_chat_msg_diff {
         && tool_call_index == other.tool_call_index
         && tool_call_delta == other.tool_call_delta;
     }
-
-    bool operator!=(const common_chat_msg_diff & other) const {
-        return !(*this == other);
-    }
 };
 
 struct common_chat_tool {
@@ -131,50 +100,110 @@ enum common_chat_tool_choice {
 enum common_chat_format {
     COMMON_CHAT_FORMAT_CONTENT_ONLY,
     COMMON_CHAT_FORMAT_GENERIC,
+    COMMON_CHAT_FORMAT_MISTRAL_NEMO,
+    COMMON_CHAT_FORMAT_LLAMA_3_X,
+    COMMON_CHAT_FORMAT_LLAMA_3_X_WITH_BUILTIN_TOOLS,
     COMMON_CHAT_FORMAT_DEEPSEEK_R1,
+    COMMON_CHAT_FORMAT_FIREFUNCTION_V2,
+    COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2,
+    COMMON_CHAT_FORMAT_FUNCTIONARY_V3_1_LLAMA_3_1,
+    COMMON_CHAT_FORMAT_HERMES_2_PRO,
+    COMMON_CHAT_FORMAT_COMMAND_R7B,
+    COMMON_CHAT_FORMAT_GRANITE,
     COMMON_CHAT_FORMAT_GPT_OSS,
-    COMMON_CHAT_FORMAT_KIMI_K2,  // Our custom format (keep last for backward compatibility)
+
+    COMMON_CHAT_FORMAT_COUNT, // Not a format, just the # formats
+};
+
+struct common_chat_templates_inputs {
+    std::vector<common_chat_msg> messages;
+    std::string grammar;
+    std::string json_schema;
+    bool add_generation_prompt = true;
+    bool use_jinja = true;
+    // Parameters below only supported when use_jinja is true
+    std::vector<common_chat_tool> tools;
+    common_chat_tool_choice tool_choice = COMMON_CHAT_TOOL_CHOICE_AUTO;
+    bool parallel_tool_calls = false;
+    common_reasoning_format reasoning_format = COMMON_REASONING_FORMAT_NONE;
+    bool enable_thinking = true;
+    std::chrono::system_clock::time_point now = std::chrono::system_clock::now();
+    std::map<std::string, std::string> chat_template_kwargs;
+    bool add_bos = false;
+    bool add_eos = false;
 };
 
-enum common_reasoning_format {
-    COMMON_REASONING_FORMAT_NONE,
-    COMMON_REASONING_FORMAT_AUTO,
-    COMMON_REASONING_FORMAT_DEEPSEEK,
-    COMMON_REASONING_FORMAT_DEEPSEEK_LEGACY,
+struct common_chat_params {
+    common_chat_format                  format = COMMON_CHAT_FORMAT_CONTENT_ONLY;
+    std::string                         prompt;
+    std::string                         grammar;
+    bool                                grammar_lazy = false;
+    bool                                thinking_forced_open = false;
+    std::vector<common_grammar_trigger> grammar_triggers;
+    std::vector<std::string>            preserved_tokens;
+    std::vector<std::string>            additional_stops;
 };
 
 struct common_chat_syntax {
-    common_chat_format format = COMMON_CHAT_FORMAT_KIMI_K2;
-    common_reasoning_format reasoning_format = COMMON_REASONING_FORMAT_AUTO; //COMMON_REASONING_FORMAT_NONE;
+    common_chat_format       format                = COMMON_CHAT_FORMAT_CONTENT_ONLY;
+    common_reasoning_format  reasoning_format      = COMMON_REASONING_FORMAT_NONE;
     // Whether reasoning_content should be inlined in the content (e.g. for reasoning_format=deepseek in stream mode)
-    bool reasoning_in_content = false;
-    bool thinking_forced_open = false;
-    bool enable_thinking = false;
-    bool enable_tool_calls = true;
+    bool                     reasoning_in_content  = false;
+    bool                     thinking_forced_open  = false;
+    bool                     parse_tool_calls      = true;
 };
 
-// Exception for partial parsing
-class common_chat_msg_partial_exception : public std::runtime_error {
-  public:
-    common_chat_msg_partial_exception(const std::string & message) : std::runtime_error(message) {}
-};
+// Check if the template supplied via "--chat-template" is supported or not. Returns true if it's valid
+bool common_chat_verify_template(const std::string & tmpl, bool use_jinja);
+
+void common_chat_templates_free(struct common_chat_templates * tmpls);
+
+struct common_chat_templates_deleter { void operator()(common_chat_templates * tmpls) { common_chat_templates_free(tmpls); } };
+
+typedef std::unique_ptr<struct common_chat_templates, common_chat_templates_deleter> common_chat_templates_ptr;
+
+common_chat_templates_ptr common_chat_templates_init(
+                                    const struct llama_model * model,
+                                           const std::string & chat_template_override,
+                                           const std::string & bos_token_override = "",
+                                           const std::string & eos_token_override = "");
+
+bool         common_chat_templates_was_explicit(const struct common_chat_templates * tmpls);
+const char * common_chat_templates_source(const struct common_chat_templates * tmpls, const char * variant = nullptr);
+
+
+struct common_chat_params      common_chat_templates_apply(
+    const struct common_chat_templates * tmpls,
+    const struct common_chat_templates_inputs & inputs);
+
+// Format single message, while taking into account the position of that message in chat history
+std::string common_chat_format_single(
+        const struct common_chat_templates * tmpls,
+        const std::vector<common_chat_msg> & past_msg,
+        const common_chat_msg & new_msg,
+        bool add_ass,
+        bool use_jinja);
 
-// Bridge functions to integrate with existing ik_llama.cpp system
-// TODO: Uncomment and implement during integration phase
-// common_chat_msg ik_to_common_msg(const struct ik_chat_msg & ik_msg);
-// struct ik_chat_msg common_to_ik_msg(const common_chat_msg & common_msg);
+// Returns an example of formatted chat
+std::string common_chat_format_example(
+    const struct common_chat_templates * tmpls,
+    bool use_jinja);
 
-// Format detection from chat template
-common_chat_format common_chat_format_detect(const std::string & chat_template);
-const char* common_chat_format_name(common_chat_format format);
-const char* common_reasoning_format_name(common_reasoning_format format);
+const char*               common_chat_format_name(common_chat_format format);
+const char*               common_reasoning_format_name(common_reasoning_format format);
+common_reasoning_format   common_reasoning_format_from_name(const std::string& format);
+common_chat_msg           common_chat_parse(const std::string & input, bool is_partial, const common_chat_syntax & syntax);
 
-// Main parsing function (entry point for original llama.cpp compatibility)
-common_chat_msg common_chat_parse(const std::string & input, bool is_partial, const common_chat_syntax & syntax);
+common_chat_tool_choice common_chat_tool_choice_parse_oaicompat(const std::string & tool_choice);
 
-// Forward declare parser class
-class common_chat_msg_parser;
+// Parses a JSON array of messages in OpenAI's chat completion API format.
+// T can be std::string containing JSON or nlohmann::ordered_json
+template <class T> std::vector<common_chat_msg> common_chat_msgs_parse_oaicompat(const T & messages);
+template <class T> T common_chat_msgs_to_json_oaicompat(const std::vector<common_chat_msg> & msgs, bool concat_typed_text = false);
 
-// Format-specific parsing functions (accessible from chat-parser)
-void common_chat_parse_deepseek_r1(common_chat_msg_parser & builder);
+// Parses a JSON array of tools in OpenAI's chat completion tool call API format.
+// T can be std::string containing JSON or nlohmann::ordered_json
+template <class T> std::vector<common_chat_tool> common_chat_tools_parse_oaicompat(const T & tools);
+template <class T> T common_chat_tools_to_json_oaicompat(const std::vector<common_chat_tool> & tools);
 
+template <class T> T common_chat_msg_diff_to_json_oaicompat(const common_chat_msg_diff & diff);
diff --git a/common/common.cpp b/common/common.cpp
index 2bb83b3e5..58e619c64 100644
--- a/common/common.cpp
+++ b/common/common.cpp
@@ -13,10 +13,10 @@
 // Change JSON_ASSERT from assert() to GGML_ASSERT:
 #define JSON_ASSERT GGML_ASSERT
 #include "json.hpp"
-#include "json-schema-to-grammar.h"
+#include "llama-vocab.h"
 #include "llama.h"
-#include "chat-template.hpp"
-
+#include "chat.h"
+#include "json-schema-to-grammar.h"
 #include <algorithm>
 #include <cinttypes>
 #include <climits>
@@ -230,13 +230,13 @@ void gpt_params_handle_model_default(gpt_params & params) {
             }
             params.hf_file = params.model;
         } else if (params.model.empty()) {
-            params.model = fs_get_cache_file(string_split(params.hf_file, '/').back());
+            params.model = fs_get_cache_file(string_split(params.hf_file, "/").back());
         }
     } else if (!params.model_url.empty()) {
         if (params.model.empty()) {
-            auto f = string_split(params.model_url, '#').front();
-            f = string_split(f, '?').front();
-            params.model = fs_get_cache_file(string_split(f, '/').back());
+            auto f = string_split(params.model_url, "#").front();
+            f = string_split(f, "?").front();
+            params.model = fs_get_cache_file(string_split(f, "/").back());
         }
     } else if (params.model.empty()) {
         params.model = DEFAULT_MODEL_PATH;
@@ -295,7 +295,7 @@ bool gpt_params_parse_ex(int argc, char ** argv, gpt_params & params) {
         params.tensor_buft_overrides.push_back({nullptr, nullptr});
     }
 
-    if (!params.chat_template.empty() && !llama_chat_verify_template(nullptr, params.chat_template, params.use_jinja)) {
+    if (!params.chat_template.empty() && !common_chat_verify_template(params.chat_template, params.use_jinja)) {
         throw std::runtime_error(string_format(
             "error: the supplied chat template is not supported: %s%s\n",
             params.chat_template.c_str(),
@@ -599,7 +599,7 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
     }
     if (arg == "--samplers") {
         CHECK_ARG
-        const auto sampler_names = string_split(argv[i], ';');
+        const auto sampler_names = string_split(argv[i], ";");
         sparams.samplers_sequence = llama_sampling_types_from_names(sampler_names, true);
         return true;
     }
@@ -1478,9 +1478,14 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
         }
         return true;
     }
+    if (arg == "--reasoning-budget") {
+        CHECK_ARG
+        params.reasoning_budget = std::stoi(argv[i]);
+        return true;
+    }
     if (arg == "--chat-template") {
         CHECK_ARG
-        if (!llama_chat_verify_template(nullptr, argv[i], false)) {
+        if (!common_chat_verify_template(argv[i], true)) {
             fprintf(stderr, "error: the supplied chat template is not supported: %s\n", argv[i]);
             fprintf(stderr, "note: llama.cpp does not use jinja parser, we only support commonly used templates\n");
             invalid_param = true;
@@ -1492,9 +1497,8 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
     if (arg == "--chat-template-file") {
         CHECK_ARG
         std::string chat_template = read_file(std::string(argv[i]));
-        if (!llama_chat_verify_template(nullptr, chat_template, false)) {
+        if (!common_chat_verify_template(chat_template, true)) {
             fprintf(stderr, "error: the supplied chat template is not supported: %s\n", argv[i]);
-            fprintf(stderr, "note: llama.cpp does not use jinja parser, we only support commonly used templates\n");
             invalid_param = true;
             return true;
         }
@@ -1505,6 +1509,14 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
         params.use_jinja = true;
         return true;
     }
+    if (arg == "--reasoning-format") {
+        std::string value = argv[i];
+        if (value == "deepseek") { params.reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK; }
+        else if (value == "none") { params.reasoning_format = COMMON_REASONING_FORMAT_NONE; }
+        else { std::invalid_argument("invalid value"); }
+        params.reasoning_format = common_reasoning_format_from_name(value);
+        return true;
+    }
     if (arg == "--slot-prompt-similarity" || arg == "-sps") {
         CHECK_ARG
         params.slot_prompt_similarity = std::stof(argv[i]);
@@ -1812,11 +1824,19 @@ void gpt_params_print_usage(int /*argc*/, char ** argv, const gpt_params & param
     options.push_back({ "main",        "       --cfg-negative-prompt-file FNAME",
                                                                         "negative prompt file to use for guidance" });
     options.push_back({ "main",        "       --cfg-scale N",          "strength of guidance (default: %.1f, 1.0 = disable)", (double)sparams.cfg_scale });
-    options.push_back({ "main",        "       --chat-template JINJA_TEMPLATE",
+    options.push_back({ "main",        "       --jinja",
                                                                         "set custom jinja chat template (default: template taken from model's metadata)\n"
                                                                         "if suffix/prefix are specified, template will be disabled\n"
                                                                         "only commonly used templates are accepted:\n"
                                                                         "https://github.com/ggerganov/llama.cpp/wiki/Templates-supported-by-llama_chat_apply_template" });
+    options.push_back({ "main",        "       --chat-template JINJA_TEMPLATE",
+                                                                        "use jinja template for chat (default: disabled)\n" });
+    options.push_back({ "main",        "       --reasoning-format FORMAT",
+                                                                 "controls whether thought tags are allowed and/or extracted from the response, and in which format they're returned; one of:\n"
+                        "- none: leaves thoughts unparsed in `message.content`\n"
+                        "- deepseek: puts thoughts in `message.reasoning_content` (except in streaming mode, which behaves as `none`)\n"
+                        "(default: none)", });
+    options.push_back({ "main",      "       --reasoning-budget N",  "controls the amount of thinking allowed; currently only one of: -1 for unrestricted thinking budget, or 0 to disable thinking (default: -1)" });
     options.push_back({ "grammar" });
     options.push_back({ "*",           "       --grammar GRAMMAR",      "BNF-like grammar to constrain generations (see samples in grammars/ dir) (default: '%s')", sparams.grammar.c_str() });
     options.push_back({ "*",           "       --grammar-file FNAME",   "file to read grammar from" });
@@ -2076,42 +2096,66 @@ std::string string_format(const char* fmt, ...) {
     return std::string(buf.data(), size);
 }
 
+std::string regex_escape(const std::string& s) {
+    static const std::regex special_chars("[.^$|()*+?\\[\\]{}\\\\]");
+    return std::regex_replace(s, special_chars, "\\$0");
+}
+
+std::string string_join(const std::vector<std::string>& values, const std::string& separator) {
+    std::ostringstream result;
+    for (size_t i = 0; i < values.size(); ++i) {
+        if (i > 0) {
+            result << separator;
+        }
+        result << values[i];
+    }
+    return result.str();
+}
+
 
-std::vector<std::string> string_split(std::string input, char separator) {
+std::vector<std::string> string_split(const std::string& str, const std::string& delimiter) {
     std::vector<std::string> parts;
-    size_t separator_pos = input.find(separator);
-    while (separator_pos != std::string::npos) {
-        std::string part = input.substr(0, separator_pos);
-        parts.emplace_back(part);
-        input = input.substr(separator_pos + 1);
-        separator_pos = input.find(separator);
-    }
-    parts.emplace_back(input);
+    size_t start = 0;
+    size_t end = str.find(delimiter);
+
+    while (end != std::string::npos) {
+        parts.push_back(str.substr(start, end - start));
+        start = end + delimiter.length();
+        end = str.find(delimiter, start);
+    }
+
+    parts.push_back(str.substr(start));
+
     return parts;
 }
 
-std::string string_join(const std::vector<std::string> & strs, const std::string & delimiter) {
-    if (strs.empty()) {
-        return "";
+std::vector<std::string> string_split(const std::string& str, char delim) {
+    std::vector<std::string> values;
+    std::istringstream str_stream(str);
+    std::string token;
+    while (std::getline(str_stream, token, delim)) {
+        std::string value;
+        std::istringstream token_stream(token);
+        token_stream >> value;
+        values.push_back(value);
     }
+    return values;
+}
 
-    std::ostringstream oss;
-    for (size_t i = 0; i < strs.size(); ++i) {
-        if (i > 0) {
-            oss << delimiter;
-        }
-        oss << strs[i];
-    }
-    return oss.str();
+static bool is_utf8_whitespace(uint8_t c) {
+    // Basic ASCII whitespace
+    if (c <= 0x7F) return isspace(c);
+    // Else: Not whitespace (or you'd need a full Unicode table)
+    return false;
 }
 
 std::string string_strip(const std::string & str) {
     size_t start = 0;
     size_t end = str.size();
-    while (start < end && std::isspace(str[start])) {
+    while (start < end && is_utf8_whitespace(str[start])) {
         start++;
     }
-    while (end > start && std::isspace(str[end - 1])) {
+    while (end > start && is_utf8_whitespace(str[end - 1])) {
         end--;
     }
     return str.substr(start, end - start);
@@ -2144,6 +2188,25 @@ void string_replace_all(std::string & s, const std::string & search, const std::
     }
 }
 
+bool string_ends_with(const std::string_view& str, const std::string_view& suffix) {
+    return str.size() >= suffix.size() && str.compare(str.size() - suffix.size(), suffix.size(), suffix) == 0;
+}
+size_t string_find_partial_stop(const std::string_view& str, const std::string_view& stop) {
+    if (!str.empty() && !stop.empty()) {
+        const char text_last_char = str.back();
+        for (int64_t char_index = stop.size() - 1; char_index >= 0; char_index--) {
+            if (stop[char_index] == text_last_char) {
+                const auto current_partial = stop.substr(0, char_index + 1);
+                if (string_ends_with(str, current_partial)) {
+                    return str.size() - char_index - 1;
+                }
+            }
+        }
+    }
+
+    return std::string::npos;
+}
+
 void string_process_escapes(std::string & input) {
     std::size_t input_len = input.length();
     std::size_t output_idx = 0;
@@ -3119,154 +3182,172 @@ bool llama_should_add_bos_token(const llama_model * model) {
 //
 // Chat template utils
 //
-
-bool llama_chat_verify_template(const struct llama_model* model, const std::string& tmpl, bool use_jinja) {
-    if (use_jinja) {
-        try {
-            auto chat_template = minja::chat_template(tmpl, "<s>", "</s>");
-            chat_template.apply({ {
-                {"role", "user"},
-                {"content", "test"},
-            } }, json(), true);
-            return true;
-        }
-        catch (const std::exception& e) {
-            fprintf(stdout,"%s: failed to apply template: %s\n", __func__, e.what());
-            return false;
-        }
-    }
-    llama_chat_message chat[] = {{"user", "test"}};
-    const int res = llama_chat_apply_template(model, tmpl.c_str(), chat, 1, true, nullptr, 0);
-    return res >= 0;
-}
-
-std::string llama_chat_apply_template(const struct llama_model * model,
-    const common_chat_template& tmpl,
-        const std::vector<llama_chat_msg> & msgs,
-    bool add_ass,
-    bool use_jinja) {
-    if (use_jinja) {
-        auto messages = json::array();
-        for (const auto& msg : msgs) {
-            messages.push_back({ {"role", msg.role}, {"content", msg.content} });
-        }
-        return tmpl.apply(messages, /* tools= */ json(), add_ass);
-    }
-    int alloc_size = 0;
-    std::vector<llama_chat_message> chat;
-    for (auto & msg : msgs) {
-        chat.push_back({msg.role.c_str(), msg.content.c_str()});
-        alloc_size += (msg.role.size() + msg.content.size()) * 1.25;
-    }
-
-    std::vector<char> buf(alloc_size);
-
-    // run the first time to get the total output length
-    int32_t res = llama_chat_apply_template(model, tmpl.source().c_str(), chat.data(), chat.size(), add_ass, buf.data(), buf.size());
-    // error: chat template is not supported
-    if (res < 0) {
-            // if the custom "tmpl" is not supported, we throw an error
-            // this is a bit redundant (for good), since we're not sure if user validated the custom template with llama_chat_verify_template()
-            throw std::runtime_error("this custom template is not supported");
-        }
-
-    // if it turns out that our buffer is too small, we resize it
-    if ((size_t) res > buf.size()) {
-        buf.resize(res);
-        res = llama_chat_apply_template(model, tmpl.source().c_str(), chat.data(), chat.size(), add_ass, buf.data(), buf.size());
-    }
-
-    std::string formatted_chat(buf.data(), res);
-    return formatted_chat;
-}
-
-std::string llama_chat_format_single(const struct llama_model * model,
-    const common_chat_template& tmpl,
-        const std::vector<llama_chat_msg> & past_msg,
-        const llama_chat_msg & new_msg,
-    bool add_ass,
-    bool use_jinja) {
-    std::ostringstream ss;
-    auto fmt_past_msg = past_msg.empty() ? "" : llama_chat_apply_template(model, tmpl, past_msg, false, use_jinja);
-    std::vector<llama_chat_msg> chat_new(past_msg);
-    // if the past_msg ends with a newline, we must preserve it in the formatted version
-    if (add_ass && !fmt_past_msg.empty() && fmt_past_msg.back() == '\n') {
-        ss << "\n";
-    };
-    // format chat with new_msg
-    chat_new.push_back(new_msg);
-    auto fmt_new_msg = llama_chat_apply_template(model, tmpl, chat_new, add_ass, use_jinja);
-    // get the diff part
-    ss << fmt_new_msg.substr(fmt_past_msg.size(), fmt_new_msg.size() - fmt_past_msg.size());
-    return ss.str();
-}
-
-std::string llama_chat_format_example(const struct llama_model * model, const common_chat_template& tmpl, bool use_jinja) {
-    std::vector<llama_chat_msg> msgs = {
-        {"system",    "You are a helpful assistant"},
-        {"user",      "Hello"},
-        {"assistant", "Hi there"},
-        {"user",      "How are you?"},
-    };
-    return llama_chat_apply_template(model, tmpl, msgs, true, use_jinja);
-}
-
-
-common_chat_templates llama_chat_templates_from_model(const struct llama_model* model, const std::string& chat_template_override)
-{
-    auto vocab = llama_model_get_vocab(model);
-    std::string default_template_src = chat_template_override;
-    std::string template_tool_use_src = chat_template_override;
-    bool has_explicit_template = !chat_template_override.empty();
-    if (chat_template_override.empty()) {
-        auto str = llama_model_chat_template(model, /* name */ nullptr);
-        if (str) {
-            default_template_src = str;
-            has_explicit_template = true;
-        }
-        str = llama_model_chat_template(model, /* name */ "tool_use");
-        if (str) {
-            template_tool_use_src = str;
-            has_explicit_template = true;
-        }
-    }
-    if (default_template_src.empty() || default_template_src == "chatml") {
-        if (!template_tool_use_src.empty()) {
-            default_template_src = template_tool_use_src;
-        }
-        else {
-            default_template_src = R"(
-                {%- for message in messages -%}
-                    {{- "<|im_start|>" + message.role + "\n" + message.content + "<|im_end|>\n" -}}
-                {%- endfor -%}
-                {%- if add_generation_prompt -%}
-                    {{- "<|im_start|>assistant\n" -}}
-                {%- endif -%}
-            )";
-        }
-    }
-    const auto get_token = [&](llama_token token, const char* name, const char* jinja_variable_name) {
-        if (token == LLAMA_TOKEN_NULL) {
-            if (default_template_src.find(jinja_variable_name) != std::string::npos
-                || template_tool_use_src.find(jinja_variable_name) != std::string::npos) {
-                fprintf(stdout, "%s: warning: vocab does not have a %s token, jinja template won't work as intended.\n", __func__, name);
-            }
-            return std::string();
-        }
-        else {
-            return llama_token_to_piece(model, token, true);
-        }
-    };
-    auto token_bos = get_token(llama_token_bos(model), "BOS", "bos_token");
-    auto token_eos = get_token(llama_token_eos(model), "EOS", "eos_token");
-    return {
-        has_explicit_template,
-        std::make_unique<minja::chat_template>(default_template_src, token_bos, token_eos),
-        template_tool_use_src.empty()
-            ? nullptr
-            : std::make_unique<minja::chat_template>(template_tool_use_src, token_bos, token_eos)
-    };
-}
+//
+//bool llama_chat_verify_template(const struct llama_model* model, const std::string& tmpl, bool use_jinja) {
+//    if (use_jinja) {
+//        try {
+//            auto chat_template = common_chat_template(tmpl, "<s>", "</s>");
+//            common_chat_inputs inputs;
+//            inputs.messages = json::array({ {
+//                {"role", "user"},
+//                {"content", "test"},
+//            } });
+//            common_chat_params_init(chat_template, inputs);
+//            return true;
+//        }
+//        catch (const std::exception& e) {
+//            fprintf(stdout,"%s: failed to apply template: %s\n", __func__, e.what());
+//            return false;
+//        }
+//    }
+//    llama_chat_message chat[] = { {"user", "test"} };
+//    const int res = llama_chat_apply_template(model, tmpl.c_str(), chat, 1, true, nullptr, 0);
+//    return res >= 0;
+//}
+
+//std::string llama_chat_apply_template(const struct llama_model * model,
+//    const common_chat_template& tmpl,
+//    const std::vector<common_chat_msg> & msgs,
+//    bool add_ass,
+//    bool use_jinja) {
+//    if (use_jinja) {
+//        auto messages = json::array();
+//        for (const auto& msg : msgs) {
+//            messages.push_back({ {"role", msg.role}, {"content", msg.content} });
+//        }
+//        common_chat_inputs inputs;
+//        inputs.messages = messages;
+//        inputs.add_generation_prompt = add_ass;
+//        return common_chat_params_init(tmpl, inputs).prompt;
+//    }
+//    int alloc_size = 0;
+//    std::vector<llama_chat_message> chat;
+//    for (auto & msg : msgs) {
+//        chat.push_back({msg.role.c_str(), msg.content.c_str()});
+//        alloc_size += (msg.role.size() + msg.content.size()) * 1.25;
+//    }
+//
+//    std::vector<char> buf(alloc_size);
+//
+//    // run the first time to get the total output length
+//    int32_t res = llama_chat_apply_template(model, tmpl.source().c_str(), chat.data(), chat.size(), add_ass, buf.data(), buf.size());
+//    // error: chat template is not supported
+//    if (res < 0) {
+//        // if the custom "tmpl" is not supported, we throw an error
+//        // this is a bit redundant (for good), since we're not sure if user validated the custom template with llama_chat_verify_template()
+//        throw std::runtime_error("this custom template is not supported");
+//    }
+//
+//    // if it turns out that our buffer is too small, we resize it
+//    if ((size_t)res > buf.size()) {
+//        buf.resize(res);
+//        res = llama_chat_apply_template(model, tmpl.source().c_str(), chat.data(), chat.size(), add_ass, buf.data(), buf.size());
+//    }
+//
+//    std::string formatted_chat(buf.data(), res);
+//    return formatted_chat;
+//}
+////
+//std::string llama_chat_format_single(const struct llama_model * model,
+//    const common_chat_template& tmpl,
+//    const std::vector<common_chat_msg> & past_msg,
+//        const common_chat_msg & new_msg,
+//    bool add_ass,
+//    bool use_jinja) {
+//    std::ostringstream ss;
+//    auto fmt_past_msg = past_msg.empty() ? "" : llama_chat_apply_template(model, tmpl, past_msg, false, use_jinja);
+//    std::vector<common_chat_msg> chat_new(past_msg);
+//    // if the past_msg ends with a newline, we must preserve it in the formatted version
+//    if (add_ass && !fmt_past_msg.empty() && fmt_past_msg.back() == '\n') {
+//        ss << "\n";
+//    };
+//    // format chat with new_msg
+//    chat_new.push_back(new_msg);
+//    auto fmt_new_msg = llama_chat_apply_template(model, tmpl, chat_new, add_ass, use_jinja);
+//    // get the diff part
+//    ss << fmt_new_msg.substr(fmt_past_msg.size(), fmt_new_msg.size() - fmt_past_msg.size());
+//    return ss.str();
+//}
+
+//std::string llama_chat_format_example(const struct llama_model * model, const common_chat_template& tmpl, bool use_jinja) {
+//    std::vector<common_chat_msg> msgs = {
+//        {"system",    "You are a helpful assistant", {}},
+//        {"user",      "Hello", {}},
+//        {"assistant", "Hi there", {}},
+//        {"user",      "How are you?", {}},
+//    };
+//    return llama_chat_apply_template(model, tmpl, msgs, true, use_jinja);
+//}
+//
+//#define CHATML_TEMPLATE_SRC \
+//    "{%- for message in messages -%}\n" \
+//    "  {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>\n' -}}\n" \
+//    "{%- endfor -%}\n" \
+//    "{%- if add_generation_prompt -%}\n" \
+//    "  {{- '<|im_start|>assistant\n' -}}\n" \
+//    "{%- endif -%}"
+//
+//common_chat_templates llama_chat_templates_from_model(const struct llama_model* model, const std::string& chat_template_override)
+//{
+//    std::string default_template_src;
+//    std::string template_tool_use_src;
+//    bool has_explicit_template = !chat_template_override.empty();
+//    if (chat_template_override.empty()) {
+//        auto str = llama_model_chat_template(model, /* name */ nullptr);
+//        if (str) {
+//            default_template_src = str;
+//            has_explicit_template = true;
+//        }
+//        str = llama_model_chat_template(model, /* name */ "tool_use");
+//        if (str) {
+//            template_tool_use_src = str;
+//            has_explicit_template = true;
+//        }
+//    }
+//    else {
+//        default_template_src = chat_template_override;
+//    }
+//    if (default_template_src.empty() || default_template_src == "chatml") {
+//        if (!template_tool_use_src.empty()) {
+//            default_template_src = template_tool_use_src;
+//        }
+//        else {
+//            default_template_src = CHATML_TEMPLATE_SRC;
+//        }
+//    }
+//    auto vocab = llama_model_get_vocab(model);
+//    const auto get_token = [&](llama_token token, const char* name, const char* jinja_variable_name) {
+//        if (token == LLAMA_TOKEN_NULL) {
+//            if (default_template_src.find(jinja_variable_name) != std::string::npos
+//                || template_tool_use_src.find(jinja_variable_name) != std::string::npos) {
+//                fprintf(stdout, "%s: warning: vocab does not have a %s token, jinja template won't work as intended.\n", __func__, name);
+//            }
+//            return std::string();
+//        }
+//        else {
+//            return llama_token_to_piece(model, token, true);
+//        }
+//    };
+//    auto token_bos = get_token(llama_token_bos_impl(*vocab), "BOS", "bos_token");
+//    auto token_eos = get_token(llama_token_eos_impl(*vocab), "EOS", "eos_token");
+//    try {
+//        return {
+//            has_explicit_template,
+//            std::make_unique<minja::chat_template>(default_template_src, token_bos, token_eos),
+//            template_tool_use_src.empty()
+//                ? nullptr
+//                : std::make_unique<minja::chat_template>(template_tool_use_src, token_bos, token_eos),
+//        };
+//    }
+//    catch (const std::exception& e) {
+//        LOG("%s: failed to parse chat template: %s\n", __func__, e.what());
+//        return {
+//            has_explicit_template,
+//            std::make_unique<minja::chat_template>(CHATML_TEMPLATE_SRC, token_bos, token_eos),
+//            nullptr,
+//        };
+//    }
+//}
 
 //
 // KV cache utils
@@ -3755,27 +3836,3 @@ void yaml_dump_non_result_info(FILE * stream, const gpt_params & params, const l
     fprintf(stream, "verbose_prompt: %s # default: false\n", params.verbose_prompt ? "true" : "false");
     fprintf(stream, "display_prompt: %s # default: true\n", params.display_prompt ? "true" : "false");
 }
-
-// Additional string utilities for builder pattern compatibility
-bool string_starts_with(const std::string & str, const std::string & prefix) {
-    return str.rfind(prefix, 0) == 0;
-}
-
-bool string_ends_with(const std::string_view & str, const std::string_view & suffix) {
-    return str.size() >= suffix.size() && str.compare(str.size()-suffix.size(), suffix.size(), suffix) == 0;
-}
-
-size_t string_find_partial_stop(const std::string_view & str, const std::string_view & stop) {
-    if (!str.empty() && !stop.empty()) {
-        const char text_last_char = str.back();
-        for (int64_t char_index = stop.size() - 1; char_index >= 0; char_index--) {
-            if (stop[char_index] == text_last_char) {
-                const auto current_partial = stop.substr(0, char_index + 1);
-                if (string_ends_with(str, current_partial)) {
-                    return str.size() - char_index - 1;
-                }
-            }
-        }
-    }
-    return std::string::npos;
-}
diff --git a/common/common.h b/common/common.h
index 6859c16ad..d040abd30 100644
--- a/common/common.h
+++ b/common/common.h
@@ -15,14 +15,18 @@
 
 #define LOG_NO_FILE_LINE_FUNCTION
 #include "log.h"
-
+#include <set>
 #include <cmath>
 #include <string>
+#include <sstream>
+#include <string_view>
 #include <vector>
 #include <random>
 #include <thread>
 #include <unordered_map>
 #include <tuple>
+#include <map>
+#include <sstream>
 
 #ifdef _WIN32
 #define DIRECTORY_SEPARATOR '\\'
@@ -74,6 +78,14 @@ enum dimre_method {
     DIMRE_METHOD_MEAN,
 };
 
+// reasoning API response format (not to be confused as chat template's reasoning format)
+enum common_reasoning_format {
+    COMMON_REASONING_FORMAT_NONE,
+    COMMON_REASONING_FORMAT_AUTO,
+    COMMON_REASONING_FORMAT_DEEPSEEK_LEGACY, // Extract thinking tag contents and return as `message.reasoning_content`, or leave inline in <think> tags in stream mode
+    COMMON_REASONING_FORMAT_DEEPSEEK,        // Extract thinking tag contents and return as `message.reasoning_content`, including in streaming deltas.
+};
+
 struct gpt_params {
     uint32_t seed                 = LLAMA_DEFAULT_SEED; // RNG seed
 
@@ -238,13 +250,21 @@ struct gpt_params {
     bool use_jinja = false;                                                                                 // NOLINT
     std::string system_prompt = "";
     bool enable_chat_template = true;
+    common_reasoning_format reasoning_format = COMMON_REASONING_FORMAT_NONE;
+    int reasoning_budget = -1;
+    bool prefill_assistant = true;
 
     std::vector<std::string> api_keys;
 
     std::string ssl_file_key  = "";
     std::string ssl_file_cert = "";
 
-    bool endpoint_slots   = true;
+    std::map<std::string, std::string> default_template_kwargs;
+
+    // "advanced" endpoints are disabled by default for better security
+    bool webui            = true;
+    bool endpoint_slots   = false;
+    bool endpoint_props   = false; // only control POST requests, not GET
     bool endpoint_metrics = false;
 
     bool log_json = false;
@@ -310,19 +330,24 @@ std::string gpt_params_get_system_info(const gpt_params & params);
 //
 // String utils
 //
-
-std::vector<std::string> string_split(std::string input, char separator);
-std::string string_join(const std::vector<std::string> & strs, const std::string & delimiter);
-
+std::string string_join(const std::vector<std::string>& values, const std::string& separator);
 std::string string_strip(const std::string & str);
 std::string string_get_sortable_timestamp();
 
+static bool string_starts_with(const std::string& str,
+    const std::string& prefix) {  // While we wait for C++20's std::string::starts_with...
+    return str.rfind(prefix, 0) == 0;
+}
+
+std::vector<std::string> string_split(const std::string& str, const std::string& delimiter);
+std::vector<std::string> string_split(const std::string& str, char delim);
+
 void string_replace_all(std::string & s, const std::string & search, const std::string & replace);
+// While we wait for C++20's std::string::ends_with...
+bool string_ends_with(const std::string_view& str, const std::string_view& suffix);
+size_t string_find_partial_stop(const std::string_view& str, const std::string_view& stop);
 
-// Additional string utilities for builder pattern compatibility
-bool string_starts_with(const std::string & str, const std::string & prefix);
-bool string_ends_with(const std::string_view & str, const std::string_view & suffix);
-size_t string_find_partial_stop(const std::string_view & str, const std::string_view & stop);
+std::string regex_escape(const std::string& s);
 
 template<class T>
 static std::vector<T> string_split(const std::string & str, char delim) {
@@ -338,6 +363,22 @@ static std::vector<T> string_split(const std::string & str, char delim) {
     return values;
 }
 
+template<>
+std::vector<std::string> string_split<std::string>(const std::string& input, char separator)
+{
+    std::vector<std::string> parts;
+    size_t begin_pos = 0;
+    size_t separator_pos = input.find(separator);
+    while (separator_pos != std::string::npos) {
+        std::string part = input.substr(begin_pos, separator_pos - begin_pos);
+        parts.emplace_back(part);
+        begin_pos = separator_pos + 1;
+        separator_pos = input.find(separator, begin_pos);
+    }
+    parts.emplace_back(input.substr(begin_pos, separator_pos - begin_pos));
+    return parts;
+}
+
 bool string_parse_kv_override(const char * data, std::vector<llama_model_kv_override> & overrides);
 void string_process_escapes(std::string & input);
 
@@ -428,52 +469,59 @@ bool llama_should_add_bos_token(const llama_model * model);
 //
 // Chat template utils
 //
-
-// same with llama_chat_message, but uses std::string
-struct llama_chat_msg {
-    std::string role;
-    std::string content;
-};
-
-// Check if the template supplied via "--chat-template" is supported or not. Returns true if it's valid
-bool llama_chat_verify_template(const struct llama_model* , const std::string& tmpl, bool use_jinja);
-
-namespace minja {
-    class chat_template;
-}
-
-typedef minja::chat_template common_chat_template;
-
-struct common_chat_templates {
-    bool has_explicit_template; // Model had builtin template or template overridde was specified.
-    std::unique_ptr<common_chat_template> template_default; // always set (defaults to chatml)
-    std::unique_ptr<common_chat_template> template_tool_use;
-};
-
-
-// CPP wrapper for llama_chat_apply_template
-// If the built-in template is not supported, we default to chatml
-// If the custom "tmpl" is not supported, we throw an error
-std::string llama_chat_apply_template(
-    const struct llama_model* model,
-    const common_chat_template& tmpl,
-    const std::vector< llama_chat_msg>& chat,
-    bool add_ass,
-    bool use_jinja);
-
-// Format single message, while taking into account the position of that message in chat history
-std::string  llama_chat_format_single(const struct llama_model* model,
-    const common_chat_template& tmpl,
-    const std::vector< llama_chat_msg>& past_msg,
-    const  llama_chat_msg& new_msg,
-    bool add_ass,
-    bool use_jinja);
-
-// Returns an example of formatted chat
-std::string  llama_chat_format_example(const struct llama_model* model,
-    const common_chat_template& tmpl, bool use_jinja);
-
-common_chat_templates  llama_chat_templates_from_model(const struct llama_model* model, const std::string& chat_template_override);
+//struct common_tool_call {
+//    std::string name;
+//    std::string arguments;
+//    std::string id;
+//};
+//
+//// same with llama_chat_message, but uses std::string
+//struct common_chat_msg {
+//    std::string role;
+//    std::string content;
+//    std::vector<common_tool_call> tool_calls;
+//    std::string reasoning_content = "";
+//};
+
+//// Check if the template supplied via "--chat-template" is supported or not. Returns true if it's valid
+//bool llama_chat_verify_template(const struct llama_model* , const std::string& tmpl, bool use_jinja);
+//
+//namespace minja {
+//    class chat_template;
+//}
+//
+//typedef minja::chat_template common_chat_template;
+//
+//struct common_chat_templates {
+//    bool has_explicit_template; // Model had builtin template or template overridde was specified.
+//    std::unique_ptr<common_chat_template> template_default; // always set (defaults to chatml)
+//    std::unique_ptr<common_chat_template> template_tool_use;
+//};
+//
+//
+//// CPP wrapper for llama_chat_apply_template
+//// If the built-in template is not supported, we default to chatml
+//// If the custom "tmpl" is not supported, we throw an error
+//std::string llama_chat_apply_template(
+//    const struct llama_model* model,
+//    const common_chat_template& tmpl,
+//    const std::vector< common_chat_msg>& chat,
+//    bool add_ass,
+//    bool use_jinja);
+//
+//// Format single message, while taking into account the position of that message in chat history
+//std::string  llama_chat_format_single(const struct llama_model* model,
+//    const common_chat_template& tmpl,
+//    const std::vector< common_chat_msg>& past_msg,
+//    const  common_chat_msg& new_msg,
+//    bool add_ass,
+//    bool use_jinja);
+//
+//// Returns an example of formatted chat
+//std::string  llama_chat_format_example(const struct llama_model* model,
+//    const common_chat_template& tmpl, bool use_jinja);
+//
+//common_chat_templates  llama_chat_templates_from_model(const struct llama_model* model, const std::string& chat_template_override);
 
 
 //
diff --git a/common/grammar-parser.cpp b/common/grammar-parser.cpp
index a518b766d..da378eee1 100644
--- a/common/grammar-parser.cpp
+++ b/common/grammar-parser.cpp
@@ -383,10 +383,13 @@ namespace grammar_parser {
                     }
                 }
             }
+            state.success = true;
             return state;
         } catch (const std::exception & err) {
-            fprintf(stderr, "%s: error parsing grammar: %s\n", __func__, err.what());
-            return parse_state();
+            fprintf(stderr, "%s: error parsing grammar: %s\n\n%s\n", __func__, err.what(), src);
+            parse_state state;
+            state.success = false;
+            return state;
         }
     }
 
diff --git a/common/grammar-parser.h b/common/grammar-parser.h
index 9037d7272..3939bc302 100644
--- a/common/grammar-parser.h
+++ b/common/grammar-parser.h
@@ -22,6 +22,7 @@ namespace grammar_parser {
         std::vector<std::vector<llama_grammar_element>> rules;
 
         std::vector<const llama_grammar_element *> c_rules();
+        bool success;
     };
 
     parse_state parse(const char * src);
diff --git a/common/json-partial.cpp b/common/json-partial.cpp
index 4d2929533..01f5f198c 100644
--- a/common/json-partial.cpp
+++ b/common/json-partial.cpp
@@ -1,13 +1,10 @@
-#include "json-partial.h"
-
+#include <json-partial.h>
+#include "ggml.h"
 #include "log.h"
-#include "../ggml/include/ggml.h"
-#include "../examples/server/utils.hpp"
-
-#include "json.hpp"
-
 #include <string>
 
+#include <json.hpp>
+
 using json = nlohmann::ordered_json;
 
 enum common_json_stack_element_type {
@@ -129,7 +126,7 @@ bool common_json_parse(
             return true;
         } catch (const std::exception & ex) {
             // No, needs healing.
-            LOG_VERBOSE("Failed to parse up to error", {{"error", ex.what()}, {"content", std::string(it, temptative_end)}});
+            LOG("Failed to parse up to error: %s: <<<%s>>>\n", ex.what(), std::string(it, temptative_end).c_str());
         }
         auto can_parse = [](const std::string & str) {
             try {
diff --git a/common/json-partial.h b/common/json-partial.h
index 17e27b3f4..854db6a3a 100644
--- a/common/json-partial.h
+++ b/common/json-partial.h
@@ -1,6 +1,5 @@
 #pragma once
-
-#include "json.hpp"
+#include <json.hpp>
 
 // Healing marker (empty if the JSON was fully parsed / wasn't healed).
 struct common_healing_marker {
diff --git a/common/json-schema-to-grammar.cpp b/common/json-schema-to-grammar.cpp
index 881eb49e3..b08f637a1 100644
--- a/common/json-schema-to-grammar.cpp
+++ b/common/json-schema-to-grammar.cpp
@@ -267,7 +267,7 @@ static void _build_min_max_int(int min_value, int max_value, std::stringstream &
     throw std::runtime_error("At least one of min_value or max_value must be set");
 }
 
-const std::string SPACE_RULE = "| \" \" | \"\\n\" [ \\t]{0,20}";
+const std::string SPACE_RULE = "| \" \" | \"\\n\"{1,2} [ \\t]{0,20}";
 
 struct BuiltinRule {
     std::string content;
@@ -389,6 +389,7 @@ static std::string format_literal(const std::string & literal) {
 
 class SchemaConverter {
 private:
+    friend std::string build_grammar(const std::function<void(const common_grammar_builder&)>& cb, const common_grammar_options& options);
     std::function<json(const std::string &)> _fetch_json;
     bool _dotall;
     std::map<std::string, std::string> _rules;
@@ -1035,11 +1036,35 @@ class SchemaConverter {
     }
 };
 
-std::string json_schema_to_grammar(const json & schema) {
-    SchemaConverter converter([](const std::string &) { return json::object(); }, /* dotall= */ false);
-    auto copy = schema;
-    converter.resolve_refs(copy, "input");
-    converter.visit(copy, "");
+std::string json_schema_to_grammar(const json & schema, bool force_gbnf) {
+#ifdef LLAMA_USE_LLGUIDANCE
+    if (!force_gbnf) {
+        return "%llguidance {}\nstart: %json " + schema.dump();
+    }
+#else
+    (void)force_gbnf;
+#endif // LLAMA_USE_LLGUIDANCE
+    return build_grammar([&](const common_grammar_builder& callbacks) {
+        auto copy = schema;
+        callbacks.resolve_refs(copy);
+        callbacks.add_schema("", copy);
+        });
+}
+
+std::string build_grammar(const std::function<void(const common_grammar_builder&)>& cb, const common_grammar_options& options) {
+    SchemaConverter converter([&](const std::string &) { return json(); }, options.dotall);
+    common_grammar_builder builder{
+        /* .add_rule = */ [&](const std::string& name, const std::string& rule) {
+            return converter._add_rule(name, rule);
+        },
+        /* .add_schema = */ [&](const std::string& name, const nlohmann::ordered_json& schema) {
+            return converter.visit(schema, name == "root" ? "" : name);
+        },
+            /* .resolve_refs = */ [&](nlohmann::ordered_json& schema) {
+                converter.resolve_refs(schema, "");
+            }
+    };
+    cb(builder);
     converter.check_errors();
     return converter.format_grammar();
 }
diff --git a/common/json-schema-to-grammar.h b/common/json-schema-to-grammar.h
index 41623b346..abe92617d 100644
--- a/common/json-schema-to-grammar.h
+++ b/common/json-schema-to-grammar.h
@@ -5,4 +5,17 @@
 #define JSON_ASSERT GGML_ASSERT
 #include "json.hpp"
 
-std::string json_schema_to_grammar(const nlohmann::ordered_json& schema);
+std::string json_schema_to_grammar(const nlohmann::ordered_json & schema,
+                                   bool force_gbnf = false);
+
+struct common_grammar_builder {
+    std::function<std::string(const std::string&, const std::string&)> add_rule;
+    std::function<std::string(const std::string&, const nlohmann::ordered_json&)> add_schema;
+    std::function<void(nlohmann::ordered_json&)> resolve_refs;
+};
+
+struct common_grammar_options {
+    bool dotall = false;
+};
+
+std::string build_grammar(const std::function<void(const common_grammar_builder&)>& cb, const common_grammar_options& options = {});
diff --git a/common/llguidance.cpp b/common/llguidance.cpp
new file mode 100644
index 000000000..7415c9415
--- /dev/null
+++ b/common/llguidance.cpp
@@ -0,0 +1,270 @@
+#include "sampling.h"
+#include "log.h"
+
+#ifdef LLAMA_USE_LLGUIDANCE
+
+#    include "llguidance.h"
+#    include <cmath>
+
+struct llama_sampler_llg {
+    const llama_vocab * vocab;
+    std::string         grammar_kind;
+    std::string         grammar_data;
+    LlgTokenizer *      tokenizer;
+    LlgConstraint *     grammar;
+    LlgMaskResult       llg_res;
+    bool                has_llg_res;
+};
+
+static LlgConstraint * llama_sampler_llg_new(LlgTokenizer * tokenizer, const char * grammar_kind,
+                                             const char * grammar_data) {
+    LlgConstraintInit cinit;
+    llg_constraint_init_set_defaults(&cinit, tokenizer);
+    const char * log_level = getenv("LLGUIDANCE_LOG_LEVEL");
+    if (log_level && *log_level) {
+        cinit.log_stderr_level = atoi(log_level);
+    }
+    auto c = llg_new_constraint_any(&cinit, grammar_kind, grammar_data);
+    if (llg_get_error(c)) {
+        LOG_ERR("llg error: %s\n", llg_get_error(c));
+        llg_free_constraint(c);
+        return nullptr;
+    }
+    return c;
+}
+
+static const char * llama_sampler_llg_name(const llama_sampler * /*smpl*/) {
+    return "llguidance";
+}
+
+static void llama_sampler_llg_accept_impl(llama_sampler * smpl, llama_token token) {
+    auto * ctx = (llama_sampler_llg *) smpl->ctx;
+    if (ctx->grammar) {
+        LlgCommitResult res;
+        llg_commit_token(ctx->grammar, token, &res);
+        ctx->has_llg_res = false;
+    }
+}
+
+static void llama_sampler_llg_apply(llama_sampler * smpl, llama_token_data_array * cur_p) {
+    auto * ctx = (llama_sampler_llg *) smpl->ctx;
+    if (ctx->grammar) {
+        if (!ctx->has_llg_res) {
+            if (llg_compute_mask(ctx->grammar, &ctx->llg_res) == 0) {
+                ctx->has_llg_res = true;
+            } else {
+                LOG_ERR("llg error: %s\n", llg_get_error(ctx->grammar));
+                llg_free_constraint(ctx->grammar);
+                ctx->grammar = nullptr;
+            }
+        }
+        if (ctx->has_llg_res) {
+            if (ctx->llg_res.is_stop) {
+                for (size_t i = 0; i < cur_p->size; ++i) {
+                    if (!llama_vocab_is_eog(ctx->vocab, cur_p->data[i].id)) {
+                        cur_p->data[i].logit = -INFINITY;
+                    }
+                }
+            } else {
+                const uint32_t * mask = ctx->llg_res.sample_mask;
+                for (size_t i = 0; i < cur_p->size; ++i) {
+                    auto token = cur_p->data[i].id;
+                    if ((mask[token / 32] & (1 << (token % 32))) == 0) {
+                        cur_p->data[i].logit = -INFINITY;
+                    }
+                }
+            }
+        }
+    }
+}
+
+static void llama_sampler_llg_reset(llama_sampler * smpl) {
+    auto * ctx = (llama_sampler_llg *) smpl->ctx;
+    if (!ctx->grammar) {
+        return;
+    }
+
+    auto * grammar_new = llama_sampler_llg_new(ctx->tokenizer, ctx->grammar_kind.c_str(), ctx->grammar_data.c_str());
+    llg_free_constraint(ctx->grammar);
+    ctx->grammar     = grammar_new;
+    ctx->has_llg_res = false;
+}
+
+static llama_sampler * llama_sampler_llg_clone(const llama_sampler * smpl) {
+    const auto * ctx = (const llama_sampler_llg *) smpl->ctx;
+
+    auto * result = llama_sampler_init_llg(ctx->vocab, nullptr, nullptr);
+
+    // copy the state
+    {
+        auto * result_ctx = (llama_sampler_llg *) result->ctx;
+
+        if (ctx->grammar) {
+            result_ctx->grammar_kind = ctx->grammar_kind;
+            result_ctx->grammar_data = ctx->grammar_data;
+            result_ctx->grammar      = llg_clone_constraint(ctx->grammar);
+            result_ctx->tokenizer    = llg_clone_tokenizer(ctx->tokenizer);
+        }
+    }
+
+    return result;
+}
+
+static void llama_sampler_llg_free(llama_sampler * smpl) {
+    const auto * ctx = (llama_sampler_llg *) smpl->ctx;
+
+    if (ctx->grammar) {
+        llg_free_constraint(ctx->grammar);
+        llg_free_tokenizer(ctx->tokenizer);
+    }
+
+    delete ctx;
+}
+
+static llama_sampler_i llama_sampler_llg_i = {
+    /* .name   = */ llama_sampler_llg_name,
+    /* .accept = */ llama_sampler_llg_accept_impl,
+    /* .apply  = */ llama_sampler_llg_apply,
+    /* .reset  = */ llama_sampler_llg_reset,
+    /* .clone  = */ llama_sampler_llg_clone,
+    /* .free   = */ llama_sampler_llg_free,
+};
+
+static size_t llama_sampler_llg_tokenize_fn(const void * user_data, const uint8_t * bytes, size_t bytes_len,
+                                            uint32_t * output_tokens, size_t output_tokens_len) {
+    const llama_vocab * vocab = (const llama_vocab *) user_data;
+    int                 r     = 0;
+    try {
+        r = llama_tokenize(vocab, (const char *) bytes, bytes_len, (int32_t *) output_tokens, output_tokens_len, false,
+                           true);
+    } catch (const std::exception & e) {
+        GGML_ABORT("llama_tokenize failed: %s\n", e.what());
+    }
+    if (r < 0) {
+        return -r;
+    }
+    return r;
+}
+
+static LlgTokenizer * llama_sampler_llg_new_tokenizer(const llama_vocab * vocab) {
+    // TODO store the tokenizer in the vocab somehow
+    static const llama_vocab * vocab_cache;
+    static LlgTokenizer *      tokenizer_cache;
+
+    if (vocab_cache == vocab) {
+        return llg_clone_tokenizer(tokenizer_cache);
+    }
+
+    auto tok_eos = llama_vocab_eot(vocab);
+    if (tok_eos == LLAMA_TOKEN_NULL) {
+        tok_eos = llama_vocab_eos(vocab);
+    }
+
+    size_t vocab_size = llama_vocab_n_tokens(vocab);
+
+    auto token_lens       = new uint32_t[vocab_size];
+    // we typically have ~7 bytes per token; let's go on the safe side here
+    auto token_bytes_size = vocab_size * 16 + 1024 * 1024;
+    auto token_bytes      = new uint8_t[token_bytes_size];
+
+    size_t offset = 0;
+    for (size_t i = 0; i < vocab_size; i++) {
+        size_t max_token = 1024;
+        if (token_bytes_size - offset < max_token) {
+            GGML_ABORT("token_bytes buffer too small\n");
+        }
+
+        llama_token token = i;
+        auto        dp    = (char *) token_bytes + offset;
+        auto        size  = llama_detokenize(vocab, &token, 1, dp, max_token, false, false);
+        if (size < 0) {
+            GGML_ABORT("llama_detokenize failed\n");
+        }
+        if (size == 0) {
+            size = llama_detokenize(vocab, &token, 1, dp + 1, max_token - 1, false, true);
+            if (size < 0) {
+                GGML_ABORT("llama_detokenize failed\n");
+            }
+            if (size != 0) {
+                *dp = '\xff';  // special token prefix marker
+                size += 1;
+            }
+        }
+
+        token_lens[i] = size;
+        offset += size;
+    }
+
+    LlgTokenizerInit tinit = {
+        /* .vocab_size                         = */ (uint32_t) vocab_size,
+        /* .tok_eos                            = */ (uint32_t) tok_eos,
+        /* .token_lens                         = */ token_lens,
+        /* .token_bytes                        = */ token_bytes,
+        /* .tokenizer_json                     = */ nullptr,
+        /* .tokenize_assumes_string            = */ true,
+        /* .tokenize_fn                        = */ llama_sampler_llg_tokenize_fn,
+        /* .use_approximate_greedy_tokenize_fn = */ false,
+        /* .tokenize_user_data                 = */ vocab,
+    };
+
+    char           error_buffer[1024];
+    LlgTokenizer * tokenizer = llg_new_tokenizer(&tinit, error_buffer, sizeof(error_buffer));
+
+    delete[] token_bytes;
+    delete[] token_lens;
+
+    if (tokenizer == nullptr) {
+        LOG_ERR("llg tokenizer error: %s\n", error_buffer);
+        return tokenizer;
+    }
+
+    if (tokenizer_cache) {
+        llg_free_tokenizer(tokenizer_cache);
+    }
+    vocab_cache     = vocab;
+    tokenizer_cache = tokenizer;
+
+    return llg_clone_tokenizer(tokenizer_cache);
+}
+
+llama_sampler * llama_sampler_init_llg(const llama_vocab * vocab, const char * grammar_kind,
+                                       const char * grammar_data) {
+    auto * ctx = new llama_sampler_llg;
+
+    if (grammar_kind != nullptr && grammar_kind[0] != '\0') {
+        auto tokenizer = llama_sampler_llg_new_tokenizer(vocab);
+        *ctx           = {
+            /* .vocab        = */ vocab,
+            /* .grammar_kind = */ grammar_kind,
+            /* .grammar_data = */ grammar_data,
+            /* .tokenizer    = */ tokenizer,
+            /* .grammar      = */ llama_sampler_llg_new(tokenizer, grammar_kind, grammar_data),
+            /* .llg_res      = */ {},
+            /* .has_llg_res  = */ false,
+        };
+    } else {
+        *ctx = {
+            /* .vocab        = */ vocab,
+            /* .grammar_kind = */ {},
+            /* .grammar_data = */ {},
+            /* .tokenizer    = */ nullptr,
+            /* .grammar      = */ nullptr,
+            /* .llg_res      = */ {},
+            /* .has_llg_res  = */ false,
+        };
+    }
+
+    return new llama_sampler{
+        /* .iface = */ &llama_sampler_llg_i,
+        /* .ctx   = */ ctx,
+    };
+}
+
+#else
+
+llama_grammar * llama_sampler_init_llg(const llama_vocab *, const char *, const char *) {
+    LOG("llguidance (cmake -DLLAMA_LLGUIDANCE=ON) is not enabled");
+    return nullptr;
+}
+
+#endif  // LLAMA_USE_LLGUIDANCE
diff --git a/common/log.h b/common/log.h
index 1bc5328ce..2cbf4a740 100644
--- a/common/log.h
+++ b/common/log.h
@@ -1,5 +1,4 @@
 #pragma once
-
 #include <chrono>
 #include <cstring>
 #include <sstream>
diff --git a/common/minja/chat-template.hpp b/common/minja/chat-template.hpp
new file mode 100644
index 000000000..c6a2df29c
--- /dev/null
+++ b/common/minja/chat-template.hpp
@@ -0,0 +1,549 @@
+/*
+    Copyright 2024 Google LLC
+
+    Use of this source code is governed by an MIT-style
+    license that can be found in the LICENSE file or at
+    https://opensource.org/licenses/MIT.
+*/
+// SPDX-License-Identifier: MIT
+#pragma once
+
+#include "minja.hpp"
+
+#include <chrono>
+#include <cstddef>
+#include <cstdio>
+#include <ctime>
+#include <exception>
+#include <iomanip>
+#include <memory>
+#include <sstream>
+#include <stdexcept>
+#include <string>
+#include <vector>
+#include <json.hpp>
+
+using json = nlohmann::ordered_json;
+
+namespace minja {
+
+struct chat_template_caps {
+    bool supports_tools = false;
+    bool supports_tool_calls = false;
+    bool supports_tool_responses = false;
+    bool supports_system_role = false;
+    bool supports_parallel_tool_calls = false;
+    bool supports_tool_call_id = false;
+    // meta-llama/Llama-3.1-8B-Instruct expects arguments to be an object.
+    // Most other templates (and OpenAI's API) expect the arguments object to be stringified.
+    bool requires_object_arguments = false;
+    // CohereForAI/c4ai-command-r-plus simple variant
+    bool requires_non_null_content = false;
+    // MiniMaxAI/MiniMax-Text-01 special
+    bool requires_typed_content = false;
+};
+
+struct chat_template_inputs {
+    nlohmann::ordered_json messages;
+    nlohmann::ordered_json tools;
+    bool add_generation_prompt = true;
+    nlohmann::ordered_json extra_context;
+    std::chrono::system_clock::time_point now = std::chrono::system_clock::now();
+};
+
+struct chat_template_options {
+    bool apply_polyfills = true;
+    bool use_bos_token = true;
+    bool use_eos_token = true;
+    bool define_strftime_now = true;
+
+    bool polyfill_tools = true;
+    bool polyfill_tool_call_examples = true;
+    bool polyfill_tool_calls = true;
+    bool polyfill_tool_responses = true;
+    bool polyfill_system_role = true;
+    bool polyfill_object_arguments = true;
+    bool polyfill_typed_content = true;
+};
+
+class chat_template {
+
+  private:
+    chat_template_caps caps_;
+    std::string source_;
+    std::string bos_token_;
+    std::string eos_token_;
+    std::shared_ptr<minja::TemplateNode> template_root_;
+    std::string tool_call_example_;
+
+    std::string try_raw_render(
+        const nlohmann::ordered_json & messages,
+        const nlohmann::ordered_json & tools,
+        bool add_generation_prompt,
+        const nlohmann::ordered_json & extra_context = nlohmann::ordered_json()) const
+    {
+        try {
+            chat_template_inputs inputs;
+            inputs.messages = messages;
+            inputs.tools = tools;
+            inputs.add_generation_prompt = add_generation_prompt;
+            inputs.extra_context = extra_context;
+            // Use fixed date for tests
+            inputs.now = std::chrono::system_clock::from_time_t(0);
+
+            chat_template_options opts;
+            opts.apply_polyfills = false;
+
+            auto prompt = apply(inputs, opts);
+            // fprintf(stderr, "try_raw_render: %s\n", prompt.c_str());
+            return prompt;
+        } catch (const std::exception & e) {
+            // fprintf(stderr, "try_raw_render error: %s\n", e.what());
+            return "";
+        }
+    }
+
+  public:
+
+    chat_template(const std::string & source, const std::string & bos_token, const std::string & eos_token)
+        : source_(source), bos_token_(bos_token), eos_token_(eos_token)
+    {
+        template_root_ = minja::Parser::parse(source_, {
+            /* .trim_blocks = */ true,
+            /* .lstrip_blocks = */ true,
+            /* .keep_trailing_newline = */ false,
+        });
+
+        auto contains = [](const std::string & haystack, const std::string & needle) {
+            return haystack.find(needle) != std::string::npos;
+        };
+
+        const std::string user_needle = "<User Needle>";
+        const std::string sys_needle = "<System Needle>";
+        const json dummy_str_user_msg = {{"role", "user"}, {"content", user_needle}};
+        const json dummy_typed_user_msg = {{"role", "user"}, {"content", json::array({{{"type", "text"}, {"text", user_needle}}})}};
+
+        caps_.requires_typed_content =
+            !contains(try_raw_render(json::array({dummy_str_user_msg}), {}, false), user_needle)
+            && contains(try_raw_render(json::array({dummy_typed_user_msg}), {}, false), user_needle);
+
+        const auto dummy_user_msg = caps_.requires_typed_content
+            ? dummy_typed_user_msg
+            : dummy_str_user_msg;
+        const json needle_system_msg = {
+            {"role", "system"},
+            {"content", caps_.requires_typed_content ? json::array({{{"type", "text"}, {"text", sys_needle}}}) : json(sys_needle)},
+        };
+
+        caps_.supports_system_role = contains(try_raw_render({needle_system_msg, dummy_user_msg,}, {}, false), sys_needle);
+
+        auto out = try_raw_render(json::array({
+            dummy_user_msg
+        }), json::array({
+            {
+                {"name", "some_tool"},
+                {"type", "function"},
+                {"function", {
+                    {"name", "some_tool"},
+                    {"description", "Some tool."},
+                    {"parameters", {
+                        {"type", "object"},
+                        {"properties", {
+                            {"arg", {
+                                {"type", "string"},
+                                {"description", "Some argument."},
+                            }},
+                        }},
+                        {"required", json::array({ "arg" })},
+                    }},
+                }},
+            },
+        }), false);
+        caps_.supports_tools = contains(out, "some_tool");
+
+        const auto render_with_content = [&](const json & content) {
+            const json assistant_msg {{"role", "assistant"}, {"content", content}};
+            // Render two assistant messages as some templates like QwQ-32B are handling
+            // the content differently depending on whether it's the last message or not
+            // (to remove the <think> tag in all but the last message).
+            return try_raw_render(json::array({dummy_user_msg, assistant_msg, dummy_user_msg, assistant_msg}), {}, false);
+        };
+        auto out_empty = render_with_content("");
+        auto out_null = render_with_content(json());
+        caps_.requires_non_null_content = contains(out_empty, user_needle) && !contains(out_null, user_needle);
+
+        json j_null;
+        auto make_tool_calls_msg = [&](const json & tool_calls) {
+            return json {
+                {"role", "assistant"},
+                {"content", caps_.requires_non_null_content? "" : j_null},
+                {"tool_calls", tool_calls},
+            };
+        };
+        auto make_tool_call = [](const std::string & tool_name, const json & arguments) {
+            return json {
+                {"id", "call_1___"},
+                {"type", "function"},
+                {"function", {
+                    {"arguments", arguments},
+                    {"name", tool_name},
+                }},
+            };
+        };
+        const json dummy_args_obj {{"argument_needle", "print('Hello, World!')"}};
+
+        // Note: the arguments are rendered in both cases, but may be double-escaped, which we don't want.
+        out = try_raw_render(json::array({
+            dummy_user_msg,
+            make_tool_calls_msg(json::array({make_tool_call("ipython", dummy_args_obj.dump())})),
+        }), {}, false);
+        auto tool_call_renders_str_arguments = contains(out, "<parameter=argument_needle>") || contains(out, "\"argument_needle\":") || contains(out, "'argument_needle':");
+        out = try_raw_render(json::array({
+            dummy_user_msg,
+            make_tool_calls_msg(json::array({make_tool_call("ipython", dummy_args_obj)})),
+        }), {}, false);
+        auto tool_call_renders_obj_arguments = contains(out, "<parameter=argument_needle>") || contains(out, "\"argument_needle\":") || contains(out, "'argument_needle':");
+
+        caps_.supports_tool_calls = tool_call_renders_str_arguments || tool_call_renders_obj_arguments;
+        caps_.requires_object_arguments = !tool_call_renders_str_arguments && tool_call_renders_obj_arguments;
+
+        if (caps_.supports_tool_calls) {
+            auto dummy_args = caps_.requires_object_arguments ? dummy_args_obj : json(dummy_args_obj.dump());
+            auto tc1 = make_tool_call("test_tool1", dummy_args);
+            auto tc2 = make_tool_call("test_tool2", dummy_args);
+            auto out = try_raw_render(json::array({
+                dummy_user_msg,
+                make_tool_calls_msg(json::array({tc1, tc2})),
+            }), {}, false);
+            caps_.supports_parallel_tool_calls = contains(out, "test_tool1") && contains(out, "test_tool2");
+
+            out = try_raw_render(json::array({
+                dummy_user_msg,
+                make_tool_calls_msg(json::array({tc1})),
+                {
+                    {"role", "tool"},
+                    {"name", "test_tool1"},
+                    {"content", "Some response!"},
+                    {"tool_call_id", "call_911_"},
+                }
+            }), {}, false);
+            caps_.supports_tool_responses = contains(out, "Some response!");
+            caps_.supports_tool_call_id = contains(out, "call_911_");
+        }
+
+        try {
+            if (!caps_.supports_tools) {
+                const json user_msg {
+                    {"role", "user"},
+                    {"content", "Hey"},
+                };
+                const json args {
+                    {"arg1", "some_value"},
+                };
+                const json tool_call_msg {
+                    {"role", "assistant"},
+                    {"content", caps_.requires_non_null_content ? "" : j_null},
+                    {"tool_calls", json::array({
+                        {
+                            // TODO: detect if requires numerical id or fixed length == 6 like Nemo
+                            {"id", "call_1___"},
+                            {"type", "function"},
+                            {"function", {
+                                {"name", "tool_name"},
+                                {"arguments", (caps_.requires_object_arguments ? args : json(minja::Value(args).dump(-1, /* to_json= */ true)))},
+                            }},
+                        },
+                    })},
+                };
+                std::string prefix, full;
+                {
+                    chat_template_inputs inputs;
+                    inputs.messages = json::array({user_msg});
+                    inputs.add_generation_prompt = true;
+                    prefix = apply(inputs);
+                }
+                {
+                    chat_template_inputs inputs;
+                    inputs.messages = json::array({user_msg, tool_call_msg});
+                    inputs.add_generation_prompt = false;
+                    full = apply(inputs);
+                }
+                auto eos_pos_last = full.rfind(eos_token_);
+                if (eos_pos_last == prefix.size() - eos_token_.size() ||
+                      (full[full.size() - 1] == '\n' && (eos_pos_last == full.size() - eos_token_.size() - 1))) {
+                    full = full.substr(0, eos_pos_last);
+                }
+                size_t common_prefix_length = 0;
+                for (size_t i = 0; i < prefix.size() && i < full.size(); ++i) {
+                    if (prefix[i] != full[i]) {
+                        break;
+                    }
+                    if (prefix[i] == '<') {
+                        // DeepSeek R1's template (as of 20250209) adds a trailing <think> if add_generation_prompt,
+                        // but it removes thinking tags for past messages.
+                        // The prefix and full strings diverge at <think> vs. <｜tool▁calls▁begin｜>, we avoid consuming the leading <.
+                        continue;
+                    }
+                    common_prefix_length = i + 1;
+                }
+                auto example = full.substr(common_prefix_length);
+                if (example.find("tool_name") == std::string::npos && example.find("some_value") == std::string::npos) {
+                    fprintf(stderr, "Failed to infer a tool call example (possible template bug)\n");
+                } else {
+                    tool_call_example_ = example;
+                }
+            }
+        } catch (const std::exception & e) {
+            fprintf(stderr, "Failed to generate tool call example: %s\n", e.what());
+        }
+    }
+
+    const std::string & source() const { return source_; }
+    const std::string & bos_token() const { return bos_token_; }
+    const std::string & eos_token() const { return eos_token_; }
+    const chat_template_caps & original_caps() const { return caps_; }
+
+    // Deprecated, please use the form with chat_template_inputs and chat_template_options
+    std::string apply(
+        const nlohmann::ordered_json & messages,
+        const nlohmann::ordered_json & tools,
+        bool add_generation_prompt,
+        const nlohmann::ordered_json & extra_context = nlohmann::ordered_json(),
+        bool apply_polyfills = true)
+    {
+        fprintf(stderr, "[%s] Deprecated!\n", __func__);
+        chat_template_inputs inputs;
+        inputs.messages = messages;
+        inputs.tools = tools;
+        inputs.add_generation_prompt = add_generation_prompt;
+        inputs.extra_context = extra_context;
+        inputs.now = std::chrono::system_clock::now();
+
+        chat_template_options opts;
+        opts.apply_polyfills = apply_polyfills;
+
+        return apply(inputs, opts);
+    }
+
+    std::string apply(
+        const chat_template_inputs & inputs,
+        const chat_template_options & opts = chat_template_options()) const
+    {
+        json actual_messages;
+
+        auto has_tools = inputs.tools.is_array() && !inputs.tools.empty();
+        auto has_tool_calls = false;
+        auto has_tool_responses = false;
+        auto has_string_content = false;
+        for (const auto & message : inputs.messages) {
+            if (message.contains("tool_calls") && !message["tool_calls"].is_null()) {
+                has_tool_calls = true;
+            }
+            if (message.contains("role") && message["role"] == "tool") {
+                has_tool_responses = true;
+            }
+            if (message.contains("content") && message["content"].is_string()) {
+                has_string_content = true;
+            }
+        }
+
+        auto polyfill_system_role = opts.polyfill_system_role && !caps_.supports_system_role;
+        auto polyfill_tools = opts.polyfill_tools && has_tools && !caps_.supports_tools;
+        auto polyfill_tool_call_example = polyfill_tools && opts.polyfill_tool_call_examples;
+        auto polyfill_tool_calls = opts.polyfill_tool_calls && has_tool_calls && !caps_.supports_tool_calls;
+        auto polyfill_tool_responses = opts.polyfill_tool_responses && has_tool_responses && !caps_.supports_tool_responses;
+        auto polyfill_object_arguments = opts.polyfill_object_arguments && has_tool_calls && caps_.requires_object_arguments;
+        auto polyfill_typed_content = opts.polyfill_typed_content && has_string_content && caps_.requires_typed_content;
+
+        auto needs_polyfills = opts.apply_polyfills && (false
+            || polyfill_system_role
+            || polyfill_tools
+            || polyfill_tool_calls
+            || polyfill_tool_responses
+            || polyfill_object_arguments
+            || polyfill_typed_content
+        );
+
+        if (needs_polyfills) {
+            actual_messages = json::array();
+
+            auto add_message = [&](const json & msg) {
+                if (polyfill_typed_content && msg.contains("content") && !msg.at("content").is_null() && msg.at("content").is_string()) {
+                    actual_messages.push_back({
+                        {"role", msg.at("role")},
+                        {"content", {{
+                            {"type", "text"},
+                            {"text", msg.at("content")},
+                        }}},
+                    });
+                } else {
+                    actual_messages.push_back(msg);
+                }
+            };
+
+            std::string pending_system;
+            auto flush_sys = [&]() {
+                if (!pending_system.empty()) {
+                    add_message({
+                        {"role", "user"},
+                        {"content", pending_system},
+                    });
+                    pending_system.clear();
+                }
+            };
+
+            json adjusted_messages;
+            if (polyfill_tools) {
+                adjusted_messages = add_system(inputs.messages,
+                    "You can call any of the following tools to satisfy the user's requests: " + minja::Value(inputs.tools).dump(2, /* to_json= */ true) +
+                    (!polyfill_tool_call_example || tool_call_example_.empty() ? "" : "\n\nExample tool call syntax:\n\n" + tool_call_example_ + "\n\n"));
+            } else {
+                adjusted_messages = inputs.messages;
+            }
+
+            for (const auto & message_ : adjusted_messages) {
+                auto message = message_;
+                if (!message.contains("role") || (!message.contains("content") && !message.contains("tool_calls"))) {
+                    throw std::runtime_error("message must have 'role' and one of 'content' or 'tool_calls' fields: " + message.dump());
+                }
+                std::string role = message.at("role");
+
+                if (message.contains("tool_calls")) {
+                    if (polyfill_object_arguments || polyfill_tool_calls) {
+                        for (auto & tool_call : message.at("tool_calls")) {
+                            if (tool_call["type"] == "function") {
+                                auto & function = tool_call.at("function");
+                                auto & arguments = function.at("arguments");
+                                if (arguments.is_string()) {
+                                    try {
+                                        arguments = json::parse(arguments.get<std::string>());
+                                    } catch (const std::exception & ecvt) {
+                                        fprintf(stderr, "Failed to parse arguments: %s\n", ecvt.what());
+                                    }
+                                }
+                            }
+                        }
+                    }
+                    if (polyfill_tool_calls) {
+                        auto tool_calls = json::array();
+                        for (const auto & tool_call : message.at("tool_calls")) {
+                            if (tool_call.at("type") != "function") {
+                                continue;
+                            }
+                            const auto & function = tool_call.at("function");
+                            auto tc = json {
+                                {"name", function.at("name")},
+                                {"arguments", function.at("arguments")},
+                            };
+                            if (tool_call.contains("id")) {
+                                tc["id"] = tool_call["id"];
+                            }
+                            tool_calls.push_back(tc);
+                        }
+                        auto obj = json {
+                            {"tool_calls", tool_calls},
+                        };
+                        if (message.contains("content")) {
+                            auto content = message.at("content");
+                            if (!content.is_null() && !content.empty()) {
+                                obj["content"] = content;
+                            }
+                        }
+                        message["content"] = obj.dump(2);
+                        message.erase("tool_calls");
+                    }
+                }
+                if (polyfill_tool_responses && role == "tool") {
+                    message["role"] = "user";
+                    auto obj = json {
+                        {"tool_response", json::object()},
+                    };
+                    if (message.contains("name")) {
+                        obj["tool_response"]["tool"] = message.at("name");
+                    }
+                    obj["tool_response"]["content"] = message.at("content");
+                    if (message.contains("tool_call_id")) {
+                        obj["tool_response"]["tool_call_id"] = message.at("tool_call_id");
+                    }
+                    message["content"] = obj.dump(2);
+                    message.erase("name");
+                }
+
+                if (!message["content"].is_null() && polyfill_system_role) {
+                    std::string content = message.at("content");
+                    if (role == "system") {
+                        if (!pending_system.empty()) pending_system += "\n";
+                        pending_system += content;
+                        continue;
+                    } else {
+                        if (role == "user") {
+                            if (!pending_system.empty()) {
+                                message["content"] = pending_system + (content.empty() ? "" : "\n" + content);
+                                pending_system.clear();
+                            }
+                        } else {
+                            flush_sys();
+                        }
+                    }
+                }
+                add_message(message);
+            }
+            flush_sys();
+        } else {
+            actual_messages = inputs.messages;
+        }
+
+        auto context = minja::Context::make(json({
+            {"messages", actual_messages},
+            {"add_generation_prompt", inputs.add_generation_prompt},
+        }));
+        context->set("bos_token", opts.use_bos_token ? bos_token_ : "");
+        context->set("eos_token", opts.use_eos_token ? eos_token_ : "");
+        if (opts.define_strftime_now) {
+            auto now = inputs.now;
+            context->set("strftime_now", Value::callable([now](const std::shared_ptr<minja::Context> &, minja::ArgumentsValue & args) {
+                args.expectArgs("strftime_now", {1, 1}, {0, 0});
+                auto format = args.args[0].get<std::string>();
+
+                auto time = std::chrono::system_clock::to_time_t(now);
+                auto local_time = *std::localtime(&time);
+                std::ostringstream ss;
+                ss << std::put_time(&local_time, format.c_str());
+                return ss.str();
+            }));
+        }
+        if (!inputs.tools.is_null()) {
+            context->set("tools", minja::Value(inputs.tools));
+        }
+        if (!inputs.extra_context.is_null()) {
+            for (auto & kv : inputs.extra_context.items()) {
+                context->set(kv.key(), minja::Value(kv.value()));
+            }
+        }
+
+        auto ret = template_root_->render(context);
+        // fprintf(stderr, "actual_messages: %s\n", actual_messages.dump(2).c_str());
+        // fprintf(stderr, "apply: %s\n\n", ret.c_str());
+        return ret;
+    }
+
+    static nlohmann::ordered_json add_system(const nlohmann::ordered_json & messages, const std::string & system_prompt) {
+        json messages_with_system = messages;
+
+        if (!messages_with_system.empty() && messages_with_system[0].at("role") == "system") {
+            std::string existing_system = messages_with_system.at(0).at("content");
+            messages_with_system[0] = json {
+                {"role", "system"},
+                {"content", existing_system + "\n\n" + system_prompt},
+            };
+        } else {
+            messages_with_system.insert(messages_with_system.begin(), json {
+                {"role", "system"},
+                {"content", system_prompt},
+            });
+        }
+        return messages_with_system;
+    }
+};
+
+}  // namespace minja
diff --git a/common/minja.hpp b/common/minja/minja.hpp
similarity index 98%
rename from common/minja.hpp
rename to common/minja/minja.hpp
index 3176280e4..a1c380f64 100644
--- a/common/minja.hpp
+++ b/common/minja/minja.hpp
@@ -8,14 +8,27 @@
 // SPDX-License-Identifier: MIT
 #pragma once
 
+#include <algorithm>
+#include <cctype>
+#include <cstddef>
+#include <cstdint>
+#include <cmath>
+#include <exception>
+#include <functional>
 #include <iostream>
-#include <string>
-#include <vector>
-#include <regex>
+#include <iterator>
+#include <limits>
+#include <map>
 #include <memory>
-#include <stdexcept>
+#include <regex>
 #include <sstream>
+#include <string>
+#include <stdexcept>
+#include <unordered_map>
 #include <unordered_set>
+#include <utility>
+#include <vector>
+
 #include <json.hpp>
 
 using json = nlohmann::ordered_json;
@@ -1233,7 +1246,7 @@ class SubscriptExpr : public Expression {
             }
             return result;
 
-          } else if (target_value.is_array()) {            
+          } else if (target_value.is_array()) {
             auto result = Value::array();
             for (int64_t i = start; step > 0 ? i < end : i > end; i += step) {
               result.push_back(target_value.at(i));
@@ -1278,6 +1291,12 @@ class UnaryOpExpr : public Expression {
     }
 };
 
+static bool in(const Value & value, const Value & container) {
+  return (((container.is_array() || container.is_object()) && container.contains(value)) ||
+      (value.is_string() && container.is_string() &&
+        container.to_str().find(value.to_str()) != std::string::npos));
+}
+
 class BinaryOpExpr : public Expression {
 public:
     enum class Op { StrConcat, Add, Sub, Mul, MulMul, Div, DivDiv, Mod, Eq, Ne, Lt, Gt, Le, Ge, And, Or, In, NotIn, Is, IsNot };
@@ -1342,13 +1361,8 @@ class BinaryOpExpr : public Expression {
               case Op::Gt:        return l > r;
               case Op::Le:        return l <= r;
               case Op::Ge:        return l >= r;
-              case Op::In:        return (((r.is_array() || r.is_object()) && r.contains(l)) ||
-                                          (l.is_string() && r.is_string() &&
-                                            r.to_str().find(l.to_str()) != std::string::npos));
-              case Op::NotIn:
-                                  return !(((r.is_array() || r.is_object()) && r.contains(l)) ||
-                                            (l.is_string() && r.is_string() &&
-                                              r.to_str().find(l.to_str()) != std::string::npos));
+              case Op::In:        return in(l, r);
+              case Op::NotIn:     return !in(l, r);
               default:            break;
           }
           throw std::runtime_error("Unknown binary operator");
@@ -1487,6 +1501,13 @@ class MethodCallExpr : public Expression {
           } else if (method->get_name() == "pop") {
             vargs.expectArgs("pop method", {1, 1}, {0, 0});
             return obj.pop(vargs.args[0]);
+          } else if (method->get_name() == "keys") {
+            vargs.expectArgs("keys method", {0, 0}, {0, 0});
+            auto result = Value::array();
+            for (const auto& key : obj.keys()) {
+              result.push_back(Value(key));
+            }
+            return result;
           } else if (method->get_name() == "get") {
             vargs.expectArgs("get method", {1, 2}, {0, 0});
             auto key = vargs.args[0];
@@ -1528,6 +1549,16 @@ class MethodCallExpr : public Expression {
           } else if (method->get_name() == "capitalize") {
             vargs.expectArgs("capitalize method", {0, 0}, {0, 0});
             return Value(capitalize(str));
+          } else if (method->get_name() == "upper") {
+            vargs.expectArgs("upper method", {0, 0}, {0, 0});
+            auto result = str;
+            std::transform(result.begin(), result.end(), result.begin(), ::toupper);
+            return Value(result);
+          } else if (method->get_name() == "lower") {
+            vargs.expectArgs("lower method", {0, 0}, {0, 0});
+            auto result = str;
+            std::transform(result.begin(), result.end(), result.begin(), ::tolower);
+            return Value(result);
           } else if (method->get_name() == "endswith") {
             vargs.expectArgs("endswith method", {1, 1}, {0, 0});
             auto suffix = vargs.args[0].get<std::string>();
@@ -1544,20 +1575,6 @@ class MethodCallExpr : public Expression {
               else res[i] = std::tolower(res[i]);
             }
             return res;
-		   
-          } else if (method->get_name() == "replace") {
-            vargs.expectArgs("replace method", {2, 3}, {0, 0});
-            auto before = vargs.args[0].get<std::string>();
-            auto after = vargs.args[1].get<std::string>();
-            auto count = vargs.args.size() == 3 ? vargs.args[2].get<int64_t>()
-                                                : str.length();
-            size_t start_pos = 0;
-            while ((start_pos = str.find(before, start_pos)) != std::string::npos &&
-                  count-- > 0) {
-              str.replace(start_pos, before.length(), after);
-              start_pos += after.length();
-            }
-            return str;
           }
         }
         throw std::runtime_error("Unknown method: " + method->get_name());
@@ -2117,38 +2134,9 @@ class Parser {
           std::shared_ptr<Expression> start, end, step;
           bool has_first_colon = false, has_second_colon = false;
 
-										  
-											
-			   
-
-											   
-										 
-												   
-											  
-				   
-												   
-											  
-												  
-												   
-					   
-				   
-			   
-
-														  
-																													
-			   
-					
-										   
-			   
-																			   
-																											   
-
           if (!peekSymbols({ ":" })) {
             start = parseExpression();
           }
-												
-												  
-																							
 
           if (!consumeToken(":").empty()) {
             has_first_colon = true;
@@ -2162,8 +2150,8 @@ class Parser {
               }
             }
           }
-  
-          if ((has_first_colon || has_second_colon)) {
+
+          if ((has_first_colon || has_second_colon) && (start || end || step)) {
             index = std::make_shared<SliceExpr>(slice_loc, std::move(start), std::move(end), std::move(step));
           } else {
             index = std::move(start);
@@ -2663,17 +2651,13 @@ inline std::shared_ptr<Context> Context::builtins() {
     auto items = Value::array();
     if (args.contains("object")) {
       auto & obj = args.at("object");
-      if (obj.is_string()) {
-        auto json_obj = json::parse(obj.get<std::string>());
-        for (const auto & kv : json_obj.items()) {
-          items.push_back(Value::array({kv.key(), kv.value()}));
+      if (!obj.is_object()) {
+        throw std::runtime_error("Can only get item pairs from a mapping");
         }
-      } else if (!obj.is_null()) {
         for (auto & key : obj.keys()) {
           items.push_back(Value::array({key, obj.at(key)}));
         }
       }
-    }
     return items;
   }));
   globals.set("last", simple_function("last", { "items" }, [](const std::shared_ptr<Context> &, Value & args) {
@@ -2686,14 +2670,6 @@ inline std::shared_ptr<Context> Context::builtins() {
     auto & text = args.at("text");
     return text.is_null() ? text : Value(strip(text.get<std::string>()));
   }));
-																												
-								
-									
-					
-									   
-																			   
-					  
-	  
   auto char_transform_function = [](const std::string & name, const std::function<char(char)> & fn) {
     return simple_function(name, { "text" }, [=](const std::shared_ptr<Context> &, Value & args) {
       auto text = args.at("text");
@@ -2807,6 +2783,9 @@ inline std::shared_ptr<Context> Context::builtins() {
       if (!items.is_array()) throw std::runtime_error("object is not iterable");
       return items;
   }));
+  globals.set("in", simple_function("in", { "item", "items" }, [](const std::shared_ptr<Context> &, Value & args) -> Value {
+      return in(args.at("item"), args.at("items"));
+  }));
   globals.set("unique", simple_function("unique", { "items" }, [](const std::shared_ptr<Context> &, Value & args) -> Value {
       auto & items = args.at("items");
       if (!items.is_array()) throw std::runtime_error("object is not iterable");
@@ -2846,16 +2825,10 @@ inline std::shared_ptr<Context> Context::builtins() {
       if (filter_fn.is_null()) {
         throw std::runtime_error("Undefined filter: " + args.args[1].dump());
       }
-													  
 
       auto filter_args = Value::array();
       for (size_t i = 2, n = args.args.size(); i < n; i++) {
-								
-								 
         filter_args.push_back(args.args[i]);
-														
-								
-							
       }
       auto filter = make_filter(filter_fn, filter_args);
 
@@ -2942,8 +2915,6 @@ inline std::shared_ptr<Context> Context::builtins() {
         }
         test_args.kwargs = args.kwargs;
       }
-									 
-	 
 
       auto res = Value::array();
       for (size_t i = 0, n = items.size(); i < n; i++) {
@@ -2957,10 +2928,7 @@ inline std::shared_ptr<Context> Context::builtins() {
         } else {
           res.push_back(attr);
         }
-			  
-							
       }
-	 
       return res;
     });
   };
@@ -2978,7 +2946,6 @@ inline std::shared_ptr<Context> Context::builtins() {
         auto v = arg.get<int64_t>();
         startEndStep[i] = v;
         param_set[i] = true;
-		 
       }
     }
     for (auto & [name, value] : args.kwargs) {
diff --git a/common/regex-partial.cpp b/common/regex-partial.cpp
index 0246bb23e..4bff6b663 100644
--- a/common/regex-partial.cpp
+++ b/common/regex-partial.cpp
@@ -118,7 +118,7 @@ std::string regex_to_reversed_partial_regex(const std::string & pattern) {
                 if (it == end) {
                     throw std::runtime_error("Unmatched '{' in pattern");
                 }
-                auto parts = string_split(std::string(start, it), ',');
+                auto parts = string_split(std::string(start, it), ",");
                 ++it;
                 if (parts.size() > 2) {
                     throw std::runtime_error("Invalid repetition range in pattern");
diff --git a/common/regex-partial.h b/common/regex-partial.h
index 4a971f68e..634cb4022 100644
--- a/common/regex-partial.h
+++ b/common/regex-partial.h
@@ -9,8 +9,23 @@ enum common_regex_match_type {
     COMMON_REGEX_MATCH_TYPE_FULL,
 };
 
-// Include full definition of common_string_range
-#include "chat.h"
+struct common_string_range {
+    size_t begin;
+    size_t end;
+    common_string_range(size_t begin, size_t end) : begin(begin), end(end) {
+        if (begin > end) {
+            throw std::runtime_error("Invalid range");
+        }
+    }
+    // prevent default ctor
+    common_string_range() = delete;
+    bool empty() const {
+        return begin == end;
+    }
+    bool operator==(const common_string_range & other) const {
+        return begin == other.begin && end == other.end;
+    }
+};
 
 struct common_regex_match {
     common_regex_match_type type = COMMON_REGEX_MATCH_TYPE_NONE;
diff --git a/common/sampling.cpp b/common/sampling.cpp
index 526a47ebc..6f7b04acf 100644
--- a/common/sampling.cpp
+++ b/common/sampling.cpp
@@ -1,7 +1,10 @@
 #define LLAMA_API_INTERNAL
 #include "sampling.h"
 #include "llama-vocab.h"
+#include "common.h"
 #include <random>
+#include "json.hpp"
+using json = nlohmann::ordered_json;
 
 struct llama_sampling_context * llama_sampling_init(const struct llama_vocab* vocab, const struct llama_sampling_params & params) {
     struct llama_sampling_context * result = new llama_sampling_context();
@@ -9,10 +12,68 @@ struct llama_sampling_context * llama_sampling_init(const struct llama_vocab* vo
     result->params  = params;
     result->grammar = nullptr;
 
+
+    struct llama_grammar* grmr;
+    if (params.grammar.compare(0, 11, "%llguidance") == 0) {
+#ifdef LLAMA_USE_LLGUIDANCE
+        grmr = llama_sampler_init_llg(vocab, "lark", params.grammar.c_str());
+#else
+        GGML_ABORT("llguidance (cmake -DLLAMA_LLGUIDANCE=ON) is not enabled");
+#endif // LLAMA_USE_LLGUIDANCE
+    }
+    else {
+
+        std::vector<std::string> trigger_patterns;
+        std::vector<std::string> patterns_anywhere;
+        std::vector<llama_token> trigger_tokens;
+        for (const auto& trigger : params.grammar_triggers) {
+            switch (trigger.type) {
+            case COMMON_GRAMMAR_TRIGGER_TYPE_WORD:
+            {
+                const auto& word = trigger.value;
+                patterns_anywhere.push_back(regex_escape(word));
+                break;
+            }
+            case COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN:
+            {
+                patterns_anywhere.push_back(trigger.value);
+                break;
+            }
+            case COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN_FULL:
+            {
+                trigger_patterns.push_back(trigger.value);
+                break;
+            }
+            case COMMON_GRAMMAR_TRIGGER_TYPE_TOKEN:
+            {
+                const auto token = trigger.token;
+                trigger_tokens.push_back(token);
+                break;
+            }
+            default:
+                GGML_ASSERT(false && "unknown trigger type");
+            }
+        }
+
+        if (!patterns_anywhere.empty()) {
+            trigger_patterns.push_back("^[\\s\\S]*?(" + string_join(patterns_anywhere, "|") + ")[\\s\\S]*");
+        }
+
+        std::vector<const char*> trigger_patterns_c;
+        trigger_patterns_c.reserve(trigger_patterns.size());
+        for (const auto& regex : trigger_patterns) {
+            trigger_patterns_c.push_back(regex.c_str());
+        }
+        grmr = params.grammar_lazy
+            ? llama_sampler_init_grammar_lazy_patterns(vocab, params.grammar.c_str(), "root",
+                trigger_patterns_c.data(), trigger_patterns_c.size(),
+                trigger_tokens.data(), trigger_tokens.size())
+            : llama_sampler_init_grammar(vocab, params.grammar.c_str(), "root");
+
     // if there is a grammar, parse it
     if (!params.grammar.empty()) {
         result->parsed_grammar = grammar_parser::parse(params.grammar.c_str());
-
+            if (result->parsed_grammar.success) {
         // will be empty (default) if there are parse errors
         if (result->parsed_grammar.rules.empty()) {
             fprintf(stderr, "%s: failed to parse grammar\n", __func__);
@@ -26,21 +87,15 @@ struct llama_sampling_context * llama_sampling_init(const struct llama_vocab* vo
             delete result;
             return nullptr;
         }
-
-        std::vector<const llama_grammar_element *> grammar_rules(result->parsed_grammar.c_rules());
-
-        struct llama_grammar * grammar = llama_grammar_init(
-                grammar_rules.data(),
-                grammar_rules.size(), result->parsed_grammar.symbol_ids.at("root"));
-        if (grammar == nullptr) {
+                if (grmr == nullptr) {
             throw std::runtime_error("Failed to initialize llama_grammar");
         }
-        result->grammar = grammar;
     }
+        }
     result->prev.resize(params.n_prev);
-
     result->n_valid = 0;
-
+    }
+    result->grammar = grmr;
     // init DRY
     for (const auto& cnstr : params.samplers_sequence)
     {
@@ -75,27 +130,71 @@ void llama_sampling_free(struct llama_sampling_context * ctx) {
     delete ctx;
 }
 
-void llama_sampling_reset(llama_sampling_context * ctx) {
+void llama_sampling_reset(const struct llama_vocab* vocab, llama_sampling_context * ctx) {
+
     if (ctx->grammar != NULL) {
         llama_grammar_free(ctx->grammar);
         ctx->grammar = NULL;
     }
+    struct llama_grammar* grmr;
+    auto params = ctx->params;
+    if (params.grammar.compare(0, 11, "%llguidance") == 0) {
+#ifdef LLAMA_USE_LLGUIDANCE
+        grmr = llama_sampler_init_llg(vocab, "lark", params.grammar.c_str());
+#else
+        GGML_ABORT("llguidance (cmake -DLLAMA_LLGUIDANCE=ON) is not enabled");
+#endif // LLAMA_USE_LLGUIDANCE
+    }
+    else {
+        std::vector<std::string> trigger_patterns;
+        std::vector<std::string> patterns_anywhere;
+        std::vector<llama_token> trigger_tokens;
+        for (const auto& trigger : params.grammar_triggers) {
+            switch (trigger.type) {
+            case COMMON_GRAMMAR_TRIGGER_TYPE_WORD:
+            {
+                const auto& word = trigger.value;
+                patterns_anywhere.push_back(regex_escape(word));
+                break;
+            }
+            case COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN:
+            {
+                patterns_anywhere.push_back(trigger.value);
+                break;
+            }
+            case COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN_FULL:
+            {
+                trigger_patterns.push_back(trigger.value);
+                break;
+            }
+            case COMMON_GRAMMAR_TRIGGER_TYPE_TOKEN:
+            {
+                const auto token = trigger.token;
+                trigger_tokens.push_back(token);
+                break;
+            }
+            default:
+                GGML_ASSERT(false && "unknown trigger type");
+            }
+        }
+        if (!patterns_anywhere.empty()) {
+            trigger_patterns.push_back("^[\\s\\S]*?(" + string_join(patterns_anywhere, "|") + ")[\\s\\S]*");
+        }
 
-    if (!ctx->parsed_grammar.rules.empty()) {
-        std::vector<const llama_grammar_element *> grammar_rules(ctx->parsed_grammar.c_rules());
+        std::vector<const char*> trigger_patterns_c;
+        trigger_patterns_c.reserve(trigger_patterns.size());
+        for (const auto& regex : trigger_patterns) {
+            trigger_patterns_c.push_back(regex.c_str());
+        }
 
-        struct llama_grammar * grammar = llama_grammar_init(
-                grammar_rules.data(),
-                grammar_rules.size(), ctx->parsed_grammar.symbol_ids.at("root"));
-        if (grammar == nullptr) {
-            throw std::runtime_error("Failed to initialize llama_grammar");
+        grmr = params.grammar_lazy
+            ? llama_sampler_init_grammar_lazy_patterns(vocab, params.grammar.c_str(), "root",
+                trigger_patterns_c.data(), trigger_patterns_c.size(),
+                trigger_tokens.data(), trigger_tokens.size())
+            : llama_sampler_init_grammar(vocab, params.grammar.c_str(), "root");
         }
-        ctx->grammar = grammar;
-    }
 
-    std::fill(ctx->prev.begin(), ctx->prev.end(), 0);
-    ctx->cur.clear();
-    ctx->n_valid = 0;
+    ctx->grammar = grmr;
     llama_sampler_dry_reset(ctx->smpl);
 }
 
@@ -498,7 +597,10 @@ void llama_sampling_accept(
         struct llama_context * ctx_main,
         llama_token id,
         bool apply_grammar) {
+    if (ctx_sampling->prev.size() > 0) {
     ctx_sampling->prev.erase(ctx_sampling->prev.begin());
+
+    }
     ctx_sampling->prev.push_back(id);
 
     if (ctx_sampling->grammar != NULL && apply_grammar) {
@@ -552,3 +654,29 @@ std::vector<llama_token> llama_sampling_sample_and_accept_n(struct llama_samplin
     return result;
 }
 
+
+
+
+
+template <>
+json common_grammar_trigger::to_json() const {
+    json out{
+        {"type", (int)type},
+        {"value", value},
+    };
+    if (type == COMMON_GRAMMAR_TRIGGER_TYPE_TOKEN) {
+        out["token"] = (int)token;
+    }
+    return out;
+}
+
+template <>
+common_grammar_trigger common_grammar_trigger::from_json(const json& in) {
+    common_grammar_trigger out;
+    out.type = (common_grammar_trigger_type)in.at("type").get<int>();
+    out.value = in.at("value").get<std::string>();
+    if (out.type == COMMON_GRAMMAR_TRIGGER_TYPE_TOKEN) {
+        out.token = (llama_token)in.at("token").get<int>();
+    }
+    return out;
+}
diff --git a/common/sampling.h b/common/sampling.h
index 27401145c..544d98eb3 100644
--- a/common/sampling.h
+++ b/common/sampling.h
@@ -1,9 +1,8 @@
 #pragma once
 
 #include "llama.h"
-
 #include "grammar-parser.h"
-
+#include <set>
 #include <random>
 #include <string>
 #include <unordered_map>
@@ -22,6 +21,23 @@ enum class llama_sampler_type : char {
     TEMPERATURE = 't'
 };
 
+enum common_grammar_trigger_type {
+    COMMON_GRAMMAR_TRIGGER_TYPE_TOKEN,
+    COMMON_GRAMMAR_TRIGGER_TYPE_WORD,
+    COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN,
+    COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN_FULL,
+};
+
+struct common_grammar_trigger {
+    common_grammar_trigger_type type;
+    std::string value;
+    llama_token token = LLAMA_TOKEN_NULL;
+
+    // T can only be nlohmann::ordered_json
+    template <class T> T to_json() const;
+    template <class T> static common_grammar_trigger from_json(const T& in);
+};
+
 // sampling parameters
 typedef struct llama_sampling_params {
     int32_t     n_prev                = 64;                 // number of previous tokens to remember
@@ -67,8 +83,11 @@ typedef struct llama_sampling_params {
         llama_sampler_type::TEMPERATURE
     };
 
-    std::string grammar;  // optional BNF-like grammar to constrain sampling
 
+    std::string grammar;  // optional BNF-like grammar to constrain sampling
+    bool                                grammar_lazy = false;
+    std::vector<common_grammar_trigger> grammar_triggers; // optional triggers (for lazy grammars)
+    std::set<llama_token>               preserved_tokens;
     // Classifier-Free Guidance
     // https://arxiv.org/abs/2306.17806
     std::string cfg_negative_prompt; // string to help guidance
@@ -106,7 +125,7 @@ struct llama_sampling_context {
     std::mt19937 rng;
 };
 
-#include "common.h"
+
 
 // Create a new sampling context instance.
 struct llama_sampling_context * llama_sampling_init(const struct llama_vocab* vocab, const struct llama_sampling_params & params);
@@ -116,7 +135,7 @@ void llama_sampling_free(struct llama_sampling_context * ctx);
 // Reset the sampler context
 // - clear prev tokens
 // - reset grammar
-void llama_sampling_reset(llama_sampling_context * ctx);
+void llama_sampling_reset(const struct llama_vocab* vocab, llama_sampling_context * ctx);
 
 // Set the sampler seed
 void llama_sampling_set_rng_seed(struct llama_sampling_context * ctx, uint32_t seed);
@@ -186,3 +205,6 @@ llama_token_data_array * llama_sampling_get_candidates(struct llama_sampling_con
 std::vector<llama_token> llama_sampling_sample_and_accept_n(struct llama_sampling_context * gsmpl, struct llama_context * ctx, const std::vector<llama_token> & draft);
 
 std::vector<llama_token> llama_sampling_sample_and_accept_n(struct llama_sampling_context * gsmpl, struct llama_context * ctx, const std::vector<int> & idxs, const std::vector<llama_token> & draft);
+
+llama_grammar* llama_sampler_init_llg(const llama_vocab* vocab,
+    const char* grammar_kind, const char* grammar_data);
diff --git a/common/speculative.cpp b/common/speculative.cpp
index d42e81dff..5b4f8323a 100644
--- a/common/speculative.cpp
+++ b/common/speculative.cpp
@@ -3,7 +3,7 @@
 #include "common.h"
 #include "sampling.h"
 #include "llama-impl.h"
-
+#include "llama-vocab.h"
 #include <cstring>
 #include <algorithm>
 #include <map>
@@ -302,7 +302,7 @@ std::vector<llama_token> llama_speculative_gen_draft(
 
     llama_decode(ctx_dft, batch);
 
-    llama_sampling_reset(smpl);
+    llama_sampling_reset(llama_get_vocab(ctx_dft), smpl);
 
     // sample n_draft tokens from the draft model
     for (int i = 0; i < params.n_draft; ++i) {
diff --git a/docs/function-calling.md b/docs/function-calling.md
new file mode 100644
index 000000000..37eacaf31
--- /dev/null
+++ b/docs/function-calling.md
@@ -0,0 +1,422 @@
+# Function Calling
+
+[chat.h](../common/chat.h) (https://github.com/ggml-org/llama.cpp/pull/9639) adds support for [OpenAI-style function calling](https://platform.openai.com/docs/guides/function-calling) and is used in:
+- `llama-server` when started w/ `--jinja` flag
+
+## Universal support w/ Native & Generic handlers
+
+Function calling is supported for all models (see https://github.com/ggml-org/llama.cpp/pull/9639):
+
+- Native tool call formats supported:
+  - Llama 3.1 / 3.3 (including builtin tools support - tool names for `wolfram_alpha`, `web_search` / `brave_search`, `code_interpreter`), Llama 3.2
+  - Functionary v3.1 / v3.2
+  - Hermes 2/3, Qwen 2.5
+  - Qwen 2.5 Coder
+  - Mistral Nemo
+  - Firefunction v2
+  - Command R7B
+  - DeepSeek R1 (WIP / seems reluctant to call any tools?)
+
+- Generic tool call is supported when the template isn't recognized by native format handlers (you'll see `Chat format: Generic` in the logs).
+  - Use `--chat-template-file` to override the template when appropriate (see examples below)
+  - Generic support may consume more tokens and be less efficient than a model's native format.
+
+<details>
+<summary>Show some common templates and which format handler they use</summary>
+
+| Template | Format |
+|----------|--------|
+| Almawave-Velvet-14B.jinja | Hermes 2 Pro |
+| AtlaAI-Selene-1-Mini-Llama-3.1-8B.jinja | Llama 3.x |
+| CohereForAI-aya-expanse-8b.jinja | Generic |
+| CohereForAI-c4ai-command-r-plus-default.jinja | Generic |
+| CohereForAI-c4ai-command-r-plus-rag.jinja | Generic |
+| CohereForAI-c4ai-command-r-plus-tool_use.jinja | Generic |
+| CohereForAI-c4ai-command-r7b-12-2024-default.jinja | Command R7B (extract reasoning) |
+| CohereForAI-c4ai-command-r7b-12-2024-rag.jinja | Command R7B (extract reasoning) |
+| CohereForAI-c4ai-command-r7b-12-2024-tool_use.jinja | Command R7B (extract reasoning) |
+| CohereForAI-c4ai-command-r7b-12-2024.jinja | Generic |
+| DavieLion-Llama-3.2-1B-SPIN-iter3.jinja | Generic |
+| Delta-Vector-Rei-12B.jinja | Mistral Nemo |
+| EpistemeAI-Mistral-Nemo-Instruct-12B-Philosophy-Math.jinja | Mistral Nemo |
+| FlofloB-83k_continued_pretraining_Qwen2.5-0.5B-Instruct_Unsloth_merged_16bit.jinja | Hermes 2 Pro |
+| FlofloB-test_continued_pretraining_Phi-3-mini-4k-instruct_Unsloth_merged_16bit.jinja | Generic |
+| HelpingAI-HAI-SER.jinja | Generic |
+| HuggingFaceTB-SmolLM2-1.7B-Instruct.jinja | Generic |
+| HuggingFaceTB-SmolLM2-135M-Instruct.jinja | Generic |
+| HuggingFaceTB-SmolLM2-360M-Instruct.jinja | Generic |
+| INSAIT-Institute-BgGPT-Gemma-2-27B-IT-v1.0.jinja | Generic |
+| Ihor-Text2Graph-R1-Qwen2.5-0.5b.jinja | Hermes 2 Pro |
+| Infinigence-Megrez-3B-Instruct.jinja | Generic |
+| Josephgflowers-TinyLlama_v1.1_math_code-world-test-1.jinja | Generic |
+| LGAI-EXAONE-EXAONE-3.5-2.4B-Instruct.jinja | Generic |
+| LGAI-EXAONE-EXAONE-3.5-7.8B-Instruct.jinja | Generic |
+| LatitudeGames-Wayfarer-12B.jinja | Generic |
+| Magpie-Align-Llama-3-8B-Magpie-Align-v0.1.jinja | Generic |
+| Magpie-Align-Llama-3.1-8B-Magpie-Align-v0.1.jinja | Generic |
+| MaziyarPanahi-calme-3.2-instruct-78b.jinja | Generic |
+| MiniMaxAI-MiniMax-Text-01.jinja | Generic |
+| MiniMaxAI-MiniMax-VL-01.jinja | Generic |
+| NaniDAO-deepseek-r1-qwen-2.5-32B-ablated.jinja | DeepSeek R1 (extract reasoning) |
+| NexaAIDev-Octopus-v2.jinja | Generic |
+| NousResearch-Hermes-2-Pro-Llama-3-8B-default.jinja | Generic |
+| NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use.jinja | Hermes 2 Pro |
+| NousResearch-Hermes-2-Pro-Mistral-7B-default.jinja | Generic |
+| NousResearch-Hermes-2-Pro-Mistral-7B-tool_use.jinja | Hermes 2 Pro |
+| NousResearch-Hermes-3-Llama-3.1-70B-default.jinja | Generic |
+| NousResearch-Hermes-3-Llama-3.1-70B-tool_use.jinja | Hermes 2 Pro |
+| NovaSky-AI-Sky-T1-32B-Flash.jinja | Hermes 2 Pro |
+| NovaSky-AI-Sky-T1-32B-Preview.jinja | Hermes 2 Pro |
+| OnlyCheeini-greesychat-turbo.jinja | Generic |
+| Orenguteng-Llama-3.1-8B-Lexi-Uncensored-V2.jinja | Llama 3.x |
+| OrionStarAI-Orion-14B-Chat.jinja | Generic |
+| PowerInfer-SmallThinker-3B-Preview.jinja | Generic |
+| PrimeIntellect-INTELLECT-1-Instruct.jinja | Generic |
+| Qwen-QVQ-72B-Preview.jinja | Generic |
+| Qwen-QwQ-32B-Preview.jinja | Hermes 2 Pro |
+| Qwen-Qwen1.5-7B-Chat.jinja | Generic |
+| Qwen-Qwen2-7B-Instruct.jinja | Generic |
+| Qwen-Qwen2-VL-72B-Instruct.jinja | Generic |
+| Qwen-Qwen2-VL-7B-Instruct.jinja | Generic |
+| Qwen-Qwen2.5-0.5B.jinja | Hermes 2 Pro |
+| Qwen-Qwen2.5-1.5B-Instruct.jinja | Hermes 2 Pro |
+| Qwen-Qwen2.5-14B-Instruct-1M.jinja | Hermes 2 Pro |
+| Qwen-Qwen2.5-14B.jinja | Hermes 2 Pro |
+| Qwen-Qwen2.5-32B-Instruct.jinja | Hermes 2 Pro |
+| Qwen-Qwen2.5-32B.jinja | Hermes 2 Pro |
+| Qwen-Qwen2.5-3B-Instruct.jinja | Hermes 2 Pro |
+| Qwen-Qwen2.5-72B-Instruct.jinja | Hermes 2 Pro |
+| Qwen-Qwen2.5-7B-Instruct-1M.jinja | Hermes 2 Pro |
+| Qwen-Qwen2.5-7B-Instruct.jinja | Hermes 2 Pro |
+| Qwen-Qwen2.5-7B.jinja | Hermes 2 Pro |
+| Qwen-Qwen2.5-Coder-32B-Instruct.jinja | Hermes 2 Pro |
+| Qwen-Qwen2.5-Coder-7B-Instruct.jinja | Hermes 2 Pro |
+| Qwen-Qwen2.5-Math-1.5B.jinja | Hermes 2 Pro |
+| Qwen-Qwen2.5-Math-7B-Instruct.jinja | Hermes 2 Pro |
+| Qwen-Qwen2.5-VL-3B-Instruct.jinja | Hermes 2 Pro |
+| Qwen-Qwen2.5-VL-72B-Instruct.jinja | Hermes 2 Pro |
+| Qwen-Qwen2.5-VL-7B-Instruct.jinja | Hermes 2 Pro |
+| RWKV-Red-Team-ARWKV-7B-Preview-0.1.jinja | Hermes 2 Pro |
+| SakanaAI-TinySwallow-1.5B-Instruct.jinja | Hermes 2 Pro |
+| SakanaAI-TinySwallow-1.5B.jinja | Hermes 2 Pro |
+| Sao10K-70B-L3.3-Cirrus-x1.jinja | Llama 3.x |
+| SentientAGI-Dobby-Mini-Leashed-Llama-3.1-8B.jinja | Llama 3.x |
+| SentientAGI-Dobby-Mini-Unhinged-Llama-3.1-8B.jinja | Llama 3.x |
+| Steelskull-L3.3-Damascus-R1.jinja | Llama 3.x |
+| Steelskull-L3.3-MS-Nevoria-70b.jinja | Llama 3.x |
+| Steelskull-L3.3-Nevoria-R1-70b.jinja | Llama 3.x |
+| THUDM-glm-4-9b-chat.jinja | Generic |
+| THUDM-glm-edge-1.5b-chat.jinja | Generic |
+| Tarek07-Progenitor-V1.1-LLaMa-70B.jinja | Llama 3.x |
+| TheBloke-FusionNet_34Bx2_MoE-AWQ.jinja | Generic |
+| TinyLlama-TinyLlama-1.1B-Chat-v1.0.jinja | Generic |
+| UCLA-AGI-Mistral7B-PairRM-SPPO-Iter3.jinja | Generic |
+| ValiantLabs-Llama3.1-8B-Enigma.jinja | Llama 3.x |
+| abacusai-Fewshot-Metamath-OrcaVicuna-Mistral.jinja | Generic |
+| ai21labs-AI21-Jamba-1.5-Large.jinja | Generic |
+| allenai-Llama-3.1-Tulu-3-405B-SFT.jinja | Generic |
+| allenai-Llama-3.1-Tulu-3-405B.jinja | Generic |
+| allenai-Llama-3.1-Tulu-3-8B.jinja | Generic |
+| arcee-ai-Virtuoso-Lite.jinja | Hermes 2 Pro |
+| arcee-ai-Virtuoso-Medium-v2.jinja | Hermes 2 Pro |
+| arcee-ai-Virtuoso-Small-v2.jinja | Hermes 2 Pro |
+| avemio-GRAG-NEMO-12B-ORPO-HESSIAN-AI.jinja | Generic |
+| bespokelabs-Bespoke-Stratos-7B.jinja | Hermes 2 Pro |
+| bfuzzy1-acheron-m1a-llama.jinja | Generic |
+| bofenghuang-vigogne-2-70b-chat.jinja | Generic |
+| bytedance-research-UI-TARS-72B-DPO.jinja | Generic |
+| bytedance-research-UI-TARS-7B-DPO.jinja | Generic |
+| bytedance-research-UI-TARS-7B-SFT.jinja | Generic |
+| carsenk-phi3.5_mini_exp_825_uncensored.jinja | Generic |
+| cyberagent-DeepSeek-R1-Distill-Qwen-14B-Japanese.jinja | DeepSeek R1 (extract reasoning) |
+| cyberagent-DeepSeek-R1-Distill-Qwen-32B-Japanese.jinja | DeepSeek R1 (extract reasoning) |
+| databricks-dbrx-instruct.jinja | Generic |
+| deepseek-ai-DeepSeek-Coder-V2-Instruct.jinja | Generic |
+| deepseek-ai-DeepSeek-Coder-V2-Lite-Base.jinja | Generic |
+| deepseek-ai-DeepSeek-Coder-V2-Lite-Instruct.jinja | Generic |
+| deepseek-ai-DeepSeek-R1-Distill-Llama-70B.jinja | DeepSeek R1 (extract reasoning) |
+| deepseek-ai-DeepSeek-R1-Distill-Llama-8B.jinja | DeepSeek R1 (extract reasoning) |
+| deepseek-ai-DeepSeek-R1-Distill-Qwen-1.5B.jinja | DeepSeek R1 (extract reasoning) |
+| deepseek-ai-DeepSeek-R1-Distill-Qwen-14B.jinja | DeepSeek R1 (extract reasoning) |
+| deepseek-ai-DeepSeek-R1-Distill-Qwen-32B.jinja | DeepSeek R1 (extract reasoning) |
+| deepseek-ai-DeepSeek-R1-Distill-Qwen-7B.jinja | DeepSeek R1 (extract reasoning) |
+| deepseek-ai-DeepSeek-R1-Zero.jinja | DeepSeek R1 (extract reasoning) |
+| deepseek-ai-DeepSeek-R1.jinja | DeepSeek R1 (extract reasoning) |
+| deepseek-ai-DeepSeek-V2-Lite.jinja | Generic |
+| deepseek-ai-DeepSeek-V2.5.jinja | DeepSeek R1 (extract reasoning) |
+| deepseek-ai-DeepSeek-V3.jinja | DeepSeek R1 (extract reasoning) |
+| deepseek-ai-deepseek-coder-33b-instruct.jinja | Generic |
+| deepseek-ai-deepseek-coder-6.7b-instruct.jinja | Generic |
+| deepseek-ai-deepseek-coder-7b-instruct-v1.5.jinja | Generic |
+| deepseek-ai-deepseek-llm-67b-chat.jinja | Generic |
+| deepseek-ai-deepseek-llm-7b-chat.jinja | Generic |
+| dicta-il-dictalm2.0-instruct.jinja | Generic |
+| ehristoforu-Falcon3-8B-Franken-Basestruct.jinja | Hermes 2 Pro |
+| fireworks-ai-llama-3-firefunction-v2.jinja | FireFunction v2 |
+| godlikehhd-alpaca_data_sampled_ifd_new_5200.jinja | Hermes 2 Pro |
+| godlikehhd-alpaca_data_score_max_0.7_2600.jinja | Hermes 2 Pro |
+| google-gemma-2-27b-it.jinja | Generic |
+| google-gemma-2-2b-it.jinja | Generic |
+| google-gemma-2-2b-jpn-it.jinja | Generic |
+| google-gemma-7b-it.jinja | Generic |
+| huihui-ai-DeepSeek-R1-Distill-Llama-70B-abliterated.jinja | DeepSeek R1 (extract reasoning) |
+| huihui-ai-DeepSeek-R1-Distill-Llama-8B-abliterated.jinja | DeepSeek R1 (extract reasoning) |
+| huihui-ai-DeepSeek-R1-Distill-Qwen-14B-abliterated-v2.jinja | DeepSeek R1 (extract reasoning) |
+| huihui-ai-DeepSeek-R1-Distill-Qwen-32B-abliterated.jinja | DeepSeek R1 (extract reasoning) |
+| huihui-ai-DeepSeek-R1-Distill-Qwen-7B-abliterated-v2.jinja | DeepSeek R1 (extract reasoning) |
+| huihui-ai-Qwen2.5-14B-Instruct-1M-abliterated.jinja | Hermes 2 Pro |
+| ibm-granite-granite-3.1-8b-instruct.jinja | Generic |
+| indischepartij-MiniCPM-3B-OpenHermes-2.5-v2.jinja | Generic |
+| inflatebot-MN-12B-Mag-Mell-R1.jinja | Generic |
+| jinaai-ReaderLM-v2.jinja | Generic |
+| kms7530-chemeng_qwen-math-7b_24_1_100_1_nonmath.jinja | Hermes 2 Pro |
+| knifeayumu-Cydonia-v1.3-Magnum-v4-22B.jinja | Mistral Nemo |
+| langgptai-qwen1.5-7b-chat-sa-v0.1.jinja | Generic |
+| lightblue-DeepSeek-R1-Distill-Qwen-7B-Japanese.jinja | DeepSeek R1 (extract reasoning) |
+| mattshumer-Reflection-Llama-3.1-70B.jinja | Generic |
+| meetkai-functionary-medium-v3.1.jinja | Functionary v3.1 Llama 3.1 |
+| meetkai-functionary-medium-v3.2.jinja | Functionary v3.2 |
+| meta-llama-Llama-2-7b-chat-hf.jinja | Generic |
+| meta-llama-Llama-3.1-8B-Instruct.jinja | Llama 3.x |
+| meta-llama-Llama-3.2-11B-Vision-Instruct.jinja | Llama 3.x |
+| meta-llama-Llama-3.2-1B-Instruct.jinja | Llama 3.x |
+| meta-llama-Llama-3.2-3B-Instruct.jinja | Llama 3.x |
+| meta-llama-Llama-3.3-70B-Instruct.jinja | Llama 3.x |
+| meta-llama-Meta-Llama-3-8B-Instruct.jinja | Generic |
+| meta-llama-Meta-Llama-3.1-8B-Instruct.jinja | Llama 3.x |
+| microsoft-Phi-3-medium-4k-instruct.jinja | Generic |
+| microsoft-Phi-3-mini-4k-instruct.jinja | Generic |
+| microsoft-Phi-3-small-8k-instruct.jinja | Generic |
+| microsoft-Phi-3.5-mini-instruct.jinja | Generic |
+| microsoft-Phi-3.5-vision-instruct.jinja | Generic |
+| microsoft-phi-4.jinja | Generic |
+| migtissera-Tess-3-Mistral-Nemo-12B.jinja | Generic |
+| ministral-Ministral-3b-instruct.jinja | Generic |
+| mistralai-Codestral-22B-v0.1.jinja | Generic |
+| mistralai-Mistral-7B-Instruct-v0.1.jinja | Generic |
+| mistralai-Mistral-7B-Instruct-v0.2.jinja | Generic |
+| mistralai-Mistral-7B-Instruct-v0.3.jinja | Mistral Nemo |
+| mistralai-Mistral-Large-Instruct-2407.jinja | Mistral Nemo |
+| mistralai-Mistral-Large-Instruct-2411.jinja | Generic |
+| mistralai-Mistral-Nemo-Instruct-2407.jinja | Mistral Nemo |
+| mistralai-Mistral-Small-24B-Instruct-2501.jinja | Generic |
+| mistralai-Mixtral-8x7B-Instruct-v0.1.jinja | Generic |
+| mkurman-Qwen2.5-14B-DeepSeek-R1-1M.jinja | Hermes 2 Pro |
+| mlabonne-AlphaMonarch-7B.jinja | Generic |
+| mlx-community-Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1-float32.jinja | Hermes 2 Pro |
+| mlx-community-Qwen2.5-VL-7B-Instruct-8bit.jinja | Hermes 2 Pro |
+| mobiuslabsgmbh-DeepSeek-R1-ReDistill-Qwen-1.5B-v1.1.jinja | DeepSeek R1 (extract reasoning) |
+| netcat420-MFANNv0.20.jinja | Generic |
+| netcat420-MFANNv0.24.jinja | Generic |
+| netease-youdao-Confucius-o1-14B.jinja | Hermes 2 Pro |
+| nvidia-AceMath-7B-RM.jinja | Hermes 2 Pro |
+| nvidia-Eagle2-1B.jinja | Hermes 2 Pro |
+| nvidia-Eagle2-9B.jinja | Hermes 2 Pro |
+| nvidia-Llama-3.1-Nemotron-70B-Instruct-HF.jinja | Llama 3.x |
+| onnx-community-DeepSeek-R1-Distill-Qwen-1.5B-ONNX.jinja | DeepSeek R1 (extract reasoning) |
+| open-thoughts-OpenThinker-7B.jinja | Hermes 2 Pro |
+| openchat-openchat-3.5-0106.jinja | Generic |
+| pankajmathur-orca_mini_v6_8b.jinja | Generic |
+| princeton-nlp-Mistral-7B-Base-SFT-RDPO.jinja | Generic |
+| princeton-nlp-Mistral-7B-Instruct-DPO.jinja | Generic |
+| princeton-nlp-Mistral-7B-Instruct-RDPO.jinja | Generic |
+| prithivMLmods-Bellatrix-Tiny-1.5B-R1.jinja | Hermes 2 Pro |
+| prithivMLmods-Bellatrix-Tiny-1B-R1.jinja | Llama 3.x |
+| prithivMLmods-Bellatrix-Tiny-1B-v3.jinja | Generic |
+| prithivMLmods-Bellatrix-Tiny-3B-R1.jinja | Llama 3.x |
+| prithivMLmods-Blaze-14B-xElite.jinja | Generic |
+| prithivMLmods-Calcium-Opus-14B-Elite2-R1.jinja | Hermes 2 Pro |
+| prithivMLmods-Calme-Ties-78B.jinja | Generic |
+| prithivMLmods-Calme-Ties2-78B.jinja | Generic |
+| prithivMLmods-Calme-Ties3-78B.jinja | Generic |
+| prithivMLmods-ChemQwen2-vL.jinja | Generic |
+| prithivMLmods-GWQ2b.jinja | Generic |
+| prithivMLmods-LatexMind-2B-Codec.jinja | Generic |
+| prithivMLmods-Llama-3.2-6B-AlgoCode.jinja | Llama 3.x |
+| prithivMLmods-Megatron-Opus-14B-Exp.jinja | Hermes 2 Pro |
+| prithivMLmods-Megatron-Opus-14B-Stock.jinja | Hermes 2 Pro |
+| prithivMLmods-Megatron-Opus-7B-Exp.jinja | Hermes 2 Pro |
+| prithivMLmods-Omni-Reasoner-Merged.jinja | Hermes 2 Pro |
+| prithivMLmods-Omni-Reasoner4-Merged.jinja | Hermes 2 Pro |
+| prithivMLmods-Primal-Opus-14B-Optimus-v1.jinja | Hermes 2 Pro |
+| prithivMLmods-QwQ-Math-IO-500M.jinja | Hermes 2 Pro |
+| prithivMLmods-Qwen-7B-Distill-Reasoner.jinja | DeepSeek R1 (extract reasoning) |
+| prithivMLmods-Qwen2.5-1.5B-DeepSeek-R1-Instruct.jinja | Hermes 2 Pro |
+| prithivMLmods-Qwen2.5-14B-DeepSeek-R1-1M.jinja | Hermes 2 Pro |
+| prithivMLmods-Qwen2.5-32B-DeepSeek-R1-Instruct.jinja | Hermes 2 Pro |
+| prithivMLmods-Qwen2.5-7B-DeepSeek-R1-1M.jinja | Hermes 2 Pro |
+| prithivMLmods-Triangulum-v2-10B.jinja | Hermes 2 Pro |
+| qingy2024-Falcon3-2x10B-MoE-Instruct.jinja | Hermes 2 Pro |
+| rubenroy-Zurich-14B-GCv2-5m.jinja | Hermes 2 Pro |
+| rubenroy-Zurich-7B-GCv2-5m.jinja | Hermes 2 Pro |
+| silma-ai-SILMA-Kashif-2B-Instruct-v1.0.jinja | Generic |
+| simplescaling-s1-32B.jinja | Hermes 2 Pro |
+| sometimesanotion-Lamarck-14B-v0.7.jinja | Hermes 2 Pro |
+| sonthenguyen-zephyr-sft-bnb-4bit-DPO-mtbr-180steps.jinja | Generic |
+| sthenno-tempesthenno-icy-0130.jinja | Generic |
+| sumink-qwft.jinja | Hermes 2 Pro |
+| teknium-OpenHermes-2.5-Mistral-7B.jinja | Generic |
+| thirdeyeai-elevate360m.jinja | Generic |
+| tiiuae-Falcon3-10B-Instruct.jinja | Hermes 2 Pro |
+| unsloth-DeepSeek-R1-Distill-Llama-8B-unsloth-bnb-4bit.jinja | DeepSeek R1 (extract reasoning) |
+| unsloth-DeepSeek-R1-Distill-Llama-8B.jinja | DeepSeek R1 (extract reasoning) |
+| unsloth-DeepSeek-R1.jinja | DeepSeek R1 (extract reasoning) |
+| unsloth-Mistral-Small-24B-Instruct-2501-unsloth-bnb-4bit.jinja | Generic |
+| upstage-solar-pro-preview-instruct.jinja | Generic |
+| whyhow-ai-PatientSeek.jinja | Generic |
+| xwen-team-Xwen-72B-Chat.jinja | Hermes 2 Pro |
+| xwen-team-Xwen-7B-Chat.jinja | Hermes 2 Pro |
+
+This table can be generated with:
+
+```bash
+./build/bin/test-chat ../minja/build/tests/*.jinja 2>/dev/null
+```
+
+</details>
+
+# Usage - need tool-aware Jinja template
+
+First, start a server with any model, but make sure it has a tools-enabled template: you can verify this by inspecting the `chat_template` or `chat_template_tool_use` properties in `http://localhost:8080/props`).
+
+Here are some models known to work (w/ chat template override when needed):
+
+```shell
+# Native support:
+
+llama-server --jinja -fa -hf bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M
+llama-server --jinja -fa -hf bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q6_K_L
+llama-server --jinja -fa -hf bartowski/Llama-3.3-70B-Instruct-GGUF:Q4_K_M
+
+# Native support for DeepSeek R1 works best w/ our template override (official template is buggy, although we do work around it)
+
+llama-server --jinja -fa -hf bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q6_K_L \
+    --chat-template-file models/templates/llama-cpp-deepseek-r1.jinja
+
+llama-server --jinja -fa -hf bartowski/DeepSeek-R1-Distill-Qwen-32B-GGUF:Q4_K_M \
+    --chat-template-file models/templates/llama-cpp-deepseek-r1.jinja
+
+# Native support requires the right template for these GGUFs:
+
+llama-server --jinja -fa -hf bartowski/functionary-small-v3.2-GGUF:Q4_K_M
+    --chat-template-file models/templates/meetkai-functionary-medium-v3.2.jinja
+
+llama-server --jinja -fa -hf bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M \
+    --chat-template-file models/templates/NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use.jinja
+
+llama-server --jinja -fa -hf bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M \
+    --chat-template-file models/templates/NousResearch-Hermes-3-Llama-3.1-8B-tool_use.jinja
+
+llama-server --jinja -fa -hf bartowski/firefunction-v2-GGUF -hff firefunction-v2-IQ1_M.gguf \
+    --chat-template-file models/templates/fireworks-ai-llama-3-firefunction-v2.jinja
+
+llama-server --jinja -fa -hf bartowski/c4ai-command-r7b-12-2024-GGUF:Q6_K_L \
+    --chat-template-file models/templates/CohereForAI-c4ai-command-r7b-12-2024-tool_use.jinja
+
+# Generic format support
+llama-server --jinja -fa -hf bartowski/phi-4-GGUF:Q4_0
+llama-server --jinja -fa -hf bartowski/gemma-2-2b-it-GGUF:Q8_0
+llama-server --jinja -fa -hf bartowski/c4ai-command-r-v01-GGUF:Q2_K
+```
+
+To get the official template from original HuggingFace repos, you can use [scripts/get_chat_template.py](../scripts/get_chat_template.py) (see examples invocations in [models/templates/README.md](../models/templates/README.md))
+
+> [!TIP]
+> If there is no official `tool_use` Jinja template, you may want to set `--chat-template chatml` to use a default that works with many models (YMMV!), or write your own (e.g. we provide a custom [llama-cpp-deepseek-r1.jinja](../models/templates/llama-cpp-deepseek-r1.jinja) for DeepSeek R1 distills)
+
+> [!CAUTION]
+> Beware of extreme KV quantizations (e.g. `-ctk q4_0`), they can substantially degrade the model's tool calling performance.
+
+Test in CLI (or with any library / software that can use OpenAI-compatible API backends):
+
+```bash
+curl http://localhost:8080/v1/chat/completions -d '{
+    "model": "gpt-3.5-turbo",
+    "tools": [
+        {
+        "type":"function",
+        "function":{
+            "name":"python",
+            "description":"Runs code in an ipython interpreter and returns the result of the execution after 60 seconds.",
+            "parameters":{
+            "type":"object",
+            "properties":{
+                "code":{
+                "type":"string",
+                "description":"The code to run in the ipython interpreter."
+                }
+            },
+            "required":["code"]
+            }
+        }
+        }
+    ],
+    "messages": [
+        {
+        "role": "user",
+        "content": "Print a hello world message with python."
+        }
+    ]
+}'
+
+
+curl http://localhost:8080/v1/chat/completions -d '{
+    "model": "gpt-3.5-turbo",
+    "messages": [
+        {"role": "system", "content": "You are a chatbot that uses tools/functions. Dont overthink things."},
+        {"role": "user", "content": "What is the weather in Istanbul?"}
+    ],
+    "tools": [{
+        "type":"function",
+        "function":{
+            "name":"get_current_weather",
+            "description":"Get the current weather in a given location",
+            "parameters":{
+                "type":"object",
+                "properties":{
+                    "location":{
+                        "type":"string",
+                        "description":"The city and country/state, e.g. `San Francisco, CA`, or `Paris, France`"
+                    }
+                },
+                "required":["location"]
+            }
+        }
+    }]
+}'
+```
+
+<details>
+<summary>Show output</summary>
+
+```json
+{
+"choices": [
+    {
+    "finish_reason": "tool",
+    "index": 0,
+    "message": {
+        "content": null,
+        "tool_calls": [
+        {
+            "name": "python",
+            "arguments": "{\"code\":\" \\nprint(\\\"Hello, World!\\\")\"}"
+        }
+        ],
+        "role": "assistant"
+    }
+    }
+],
+"created": 1727287211,
+"model": "gpt-3.5-turbo",
+"object": "chat.completion",
+"usage": {
+    "completion_tokens": 16,
+    "prompt_tokens": 44,
+    "total_tokens": 60
+},
+"id": "chatcmpl-Htbgh9feMmGM0LEH2hmQvwsCxq3c6Ni8"
+}
+```
+
+</details>
diff --git a/docs/llguidance.md b/docs/llguidance.md
new file mode 100644
index 000000000..792d20704
--- /dev/null
+++ b/docs/llguidance.md
@@ -0,0 +1,51 @@
+# LLGuidance Support in llama.cpp
+
+[LLGuidance](https://github.com/guidance-ai/llguidance) is a library for constrained decoding (also called constrained sampling or structured outputs) for Large Language Models (LLMs). Initially developed as the backend for the [Guidance](https://github.com/guidance-ai/guidance) library, it can also be used independently.
+
+LLGuidance supports JSON Schemas and arbitrary context-free grammars (CFGs) written in a [variant](https://github.com/guidance-ai/llguidance/blob/main/docs/syntax.md) of Lark syntax. It is [very fast](https://github.com/guidance-ai/jsonschemabench/tree/main/maskbench) and has [excellent](https://github.com/guidance-ai/llguidance/blob/main/docs/json_schema.md) JSON Schema coverage but requires the Rust compiler, which complicates the llama.cpp build process.
+
+## Building
+
+To enable LLGuidance support, build llama.cpp with the `LLAMA_LLGUIDANCE` option:
+
+```sh
+cmake -B build -DLLAMA_LLGUIDANCE=ON
+make -C build -j
+```
+
+This requires the Rust compiler and the `cargo` tool to be [installed](https://www.rust-lang.org/tools/install).
+
+## Interface
+
+There are no new command-line arguments or modifications to `common_params`. When enabled, grammars starting with `%llguidance` are passed to LLGuidance instead of the [current](../grammars/README.md) llama.cpp grammars. Additionally, JSON Schema requests (e.g., using the `-j` argument in `llama-cli`) are also passed to LLGuidance.
+
+For your existing GBNF grammars, you can use [gbnf_to_lark.py script](https://github.com/guidance-ai/llguidance/blob/main/scripts/gbnf_to_lark.py) to convert them to LLGuidance Lark-like format.
+
+## Performance
+
+Computing a "token mask" (i.e., the set of allowed tokens) for a llama3 tokenizer with 128k tokens takes, on average, 50μs of single-core CPU time for the [JSON Schema Bench](https://github.com/guidance-ai/jsonschemabench). The p99 time is 0.5ms, and the p100 time is 20ms. These results are due to the lexer/parser split and several [optimizations](https://github.com/guidance-ai/llguidance/blob/main/docs/optimizations.md).
+
+## JSON Schema
+
+LLGuidance adheres closely to the JSON Schema specification. For example:
+
+- `additionalProperties` defaults to `true`, unlike current grammars, though you can set `"additionalProperties": false` if needed.
+- any whitespace is allowed.
+- The definition order in the `"properties": {}` object is maintained, regardless of whether properties are required (current grammars always puts required properties first).
+
+Unsupported schemas result in an error message—no keywords are silently ignored.
+
+## Why Not Reuse GBNF Format?
+
+GBNF lacks the concept of a lexer.
+
+Most programming languages, including JSON, use a two-step process: a lexer (built with regular expressions) converts a byte stream into lexemes, which are then processed by a CFG parser. This approach is faster because lexers are cheaper to evaluate, and there is ~10x fewer lexemes than bytes.
+LLM tokens often align with lexemes, so the parser is engaged in under 0.5% of tokens, with the lexer handling the rest.
+
+However, the user has to provide the distinction between lexemes and CFG symbols. In [Lark](https://github.com/lark-parser/lark), lexeme names are uppercase, while CFG symbols are lowercase.
+The [gbnf_to_lark.py script](https://github.com/guidance-ai/llguidance/blob/main/scripts/gbnf_to_lark.py) can often take care of this automatically.
+See [LLGuidance syntax docs](https://github.com/guidance-ai/llguidance/blob/main/docs/syntax.md#terminals-vs-rules) for more details.
+
+## Error Handling
+
+Errors are currently printed to `stderr`, and generation continues. Improved error handling may be added in the future.
diff --git a/examples/infill/infill.cpp b/examples/infill/infill.cpp
index d3c3ad5a7..e6d15f29d 100644
--- a/examples/infill/infill.cpp
+++ b/examples/infill/infill.cpp
@@ -615,7 +615,7 @@ int main(int argc, char ** argv) {
 
             if (n_past > 0) {
                 if (is_interacting) {
-                    llama_sampling_reset(ctx_sampling);
+                    llama_sampling_reset(llama_get_model_vocab(model), ctx_sampling);
                 }
                 is_interacting = false;
             }
diff --git a/examples/json_schema_to_grammar.py b/examples/json_schema_to_grammar.py
index a8779bf3b..06fd1bfe5 100755
--- a/examples/json_schema_to_grammar.py
+++ b/examples/json_schema_to_grammar.py
@@ -195,7 +195,7 @@ def __init__(self, content: str, deps: list | None = None):
         self.deps = deps or []
 
 # Constraining spaces to prevent model "running away".
-SPACE_RULE = '| " " | "\\n" [ \\t]{0,20}'
+SPACE_RULE = '| " " | "\\n"{1,2} [ \\t]{0,20}'
 
 PRIMITIVE_RULES = {
     'boolean'      : BuiltinRule('("true" | "false") space', []),
diff --git a/examples/main/main.cpp b/examples/main/main.cpp
index 5bf8fca05..850f33d51 100644
--- a/examples/main/main.cpp
+++ b/examples/main/main.cpp
@@ -1,8 +1,8 @@
 #include "common.h"
-
+#include "chat.h"
 #include "console.h"
 #include "llama.h"
-#include "chat-template.hpp"
+#include "minja/chat-template.hpp"
 #include <cassert>
 #include <cinttypes>
 #include <cmath>
@@ -119,12 +119,11 @@ static void llama_log_callback_logTee(ggml_log_level level, const char * text, v
     LOG_TEE("%s", text);
 }
 
-static std::string chat_add_and_format(struct llama_model * model, common_chat_templates &chat_templates, std::vector<llama_chat_msg> & chat_msgs, std::string role, std::string content) {
-    llama_chat_msg new_msg{role, content};
-    auto formatted = llama_chat_format_single(model, 
-        *chat_templates.template_default, chat_msgs, new_msg, role == "user", g_params->use_jinja);
+static std::string chat_add_and_format(struct llama_model * model, common_chat_templates &chat_templates, std::vector<common_chat_msg> & chat_msgs, std::string role, std::string content) {
+    common_chat_msg new_msg{role, content};
+    auto formatted = common_chat_format_single(&chat_templates, chat_msgs, new_msg, role == "user", g_params->use_jinja);
     chat_msgs.push_back({role, content});
-    LOG("formatted: %s\n", formatted.c_str());
+    fprintf(stdout, "formatted: %s\n", formatted.c_str());
     return formatted;
 }
 
@@ -201,7 +200,7 @@ int main(int argc, char ** argv) {
     llama_model * model;
     llama_context * ctx;
     llama_context * ctx_guidance = NULL;
-    std::vector<llama_chat_msg> chat_msgs;
+    std::vector<common_chat_msg> chat_msgs;
     g_model = &model;
     g_ctx = &ctx;
 
@@ -220,7 +219,7 @@ int main(int argc, char ** argv) {
         LOG_TEE("%s: error: unable to load model\n", __func__);
         return 1;
     }
-    auto chat_templates = llama_chat_templates_from_model(model, params.chat_template);
+    auto chat_templates = common_chat_templates_init(model, params.chat_template);
 
     const int n_ctx_train = llama_n_ctx_train(model);
     const int n_ctx = llama_n_ctx(ctx);
@@ -233,7 +232,8 @@ int main(int argc, char ** argv) {
     // print chat template example in conversation mode
     if (params.conversation) {
         if (params.enable_chat_template) {
-            LOG_TEE("%s: chat template example: %s\n", __func__, llama_chat_format_example(model, *chat_templates.template_default, params.use_jinja).c_str());
+            //LOG_TEE("%s: chat template example: %s\n", __func__, common_chat_format_example(model, *chat_templates.template_default, params.use_jinja).c_str());
+            LOG_TEE("%s: chat template example:\n%s\n", __func__, common_chat_format_example(chat_templates.get(), params.use_jinja).c_str());
         } else {
             LOG_TEE("%s: in-suffix/prefix is specified, chat template will be disabled\n", __func__);
         }
@@ -287,7 +287,7 @@ int main(int argc, char ** argv) {
             prompt = params.system_prompt;
 
             if (!prompt.empty()) {
-                prompt = chat_add_and_format(model, chat_templates,chat_msgs, "system", prompt);
+                prompt = chat_add_and_format(model, *chat_templates,chat_msgs, "system", prompt);
             }
         }
         else {
@@ -867,7 +867,7 @@ int main(int argc, char ** argv) {
                     }
 
                     if (params.enable_chat_template) {
-                        chat_add_and_format(model, chat_templates, chat_msgs, "assistant", assistant_ss.str());
+                        chat_add_and_format(model, *chat_templates, chat_msgs, "assistant", assistant_ss.str());
                     }
                     is_interacting = true;
                     printf("\n");
@@ -932,7 +932,7 @@ int main(int argc, char ** argv) {
 
                     bool format_chat = params.conversation && params.enable_chat_template;
                     std::string user_inp = format_chat
-                        ? chat_add_and_format(model, chat_templates, chat_msgs, "user", std::move(buffer))
+                        ? chat_add_and_format(model, *chat_templates, chat_msgs, "user", std::move(buffer))
                         : std::move(buffer);
                     // TODO: one inconvenient of current chat template implementation is that we can't distinguish between user input and special tokens (prefix/postfix)
                     const auto line_pfx = ::llama_tokenize(ctx, params.input_prefix, false, true);
@@ -972,7 +972,8 @@ int main(int argc, char ** argv) {
 
             if (n_past > 0 || waiting_for_first_input) {
                 if (is_interacting) {
-                    llama_sampling_reset(ctx_sampling);
+                    
+                    llama_sampling_reset(llama_get_model_vocab(model), ctx_sampling);
                 }
                 is_interacting = false;
                 waiting_for_first_input = false;
diff --git a/examples/parallel/parallel.cpp b/examples/parallel/parallel.cpp
index ee614f844..0d5e9f7eb 100644
--- a/examples/parallel/parallel.cpp
+++ b/examples/parallel/parallel.cpp
@@ -253,7 +253,7 @@ int main(int argc, char ** argv) {
                     client.prompt   = client.input + "\nAssistant:";
                     client.response = "";
 
-                    llama_sampling_reset(client.ctx_sampling);
+                    llama_sampling_reset(llama_get_model_vocab(model), client.ctx_sampling);
 
                     // do not prepend BOS because we have a system prompt!
                     std::vector<llama_token> tokens_prompt;
diff --git a/examples/server/README.md b/examples/server/README.md
index 08fc1fa58..3a73261f3 100644
--- a/examples/server/README.md
+++ b/examples/server/README.md
@@ -12,6 +12,11 @@ Set of LLM REST APIs and a simple web front end to interact with llama.cpp.
  * Multimodal (wip)
  * Monitoring endpoints
  * Schema-constrained JSON response format
+ * Prefilling of assistant messages similar to the Claude API
+ * [Function calling](../../docs/function-calling.md) / tool use for ~any model
+ * Speculative decoding
+ * Easy-to-use web UI
+
 
 The project is under active development, and we are [looking for feedback and contributors](https://github.com/ggerganov/llama.cpp/issues/4216).
 
@@ -585,59 +590,76 @@ Takes a prefix and a suffix and returns the predicted completion as stream.
 - `total_slots` - the total number of slots for process requests (defined by `--parallel` option)
 - `chat_template` - the model's original Jinja2 prompt template
 
+
 ### POST `/v1/chat/completions`: OpenAI-compatible Chat Completions API
 
-Given a ChatML-formatted json description in `messages`, it returns the predicted completion. Both synchronous and streaming mode are supported, so scripted and interactive applications work fine. While no strong claims of compatibility with OpenAI API spec is being made, in our experience it suffices to support many apps. Only models with a [supported chat template](https://github.com/ggerganov/llama.cpp/wiki/Templates-supported-by-llama_chat_apply_template) can be used optimally with this endpoint. By default, the ChatML template will be used.
+Given a ChatML-formatted json description in `messages`, it returns the predicted completion. Both synchronous and streaming mode are supported, so scripted and interactive applications work fine. While no strong claims of compatibility with OpenAI API spec is being made, in our experience it suffices to support many apps. Only models with a [supported chat template](https://github.com/ggml-org/llama.cpp/wiki/Templates-supported-by-llama_chat_apply_template) can be used optimally with this endpoint. By default, the ChatML template will be used.
 
-    *Options:*
+If model supports multimodal, you can input the media file via `image_url` content part. We support both base64 and remote URL as input. See OAI documentation for more.
 
-    See [OpenAI Chat Completions API documentation](https://platform.openai.com/docs/api-reference/chat). While some OpenAI-specific features such as function calling aren't supported, llama.cpp `/completion`-specific features such as `mirostat` are supported.
+*Options:*
 
-    The `response_format` parameter supports both plain JSON output (e.g. `{"type": "json_object"}`) and schema-constrained JSON (e.g. `{"type": "json_object", "schema": {"type": "string", "minLength": 10, "maxLength": 100}}`), similar to other OpenAI-inspired API providers.
+See [OpenAI Chat Completions API documentation](https://platform.openai.com/docs/api-reference/chat). llama.cpp `/completion`-specific features such as `mirostat` are also supported.
 
-    *Examples:*
+The `response_format` parameter supports both plain JSON output (e.g. `{"type": "json_object"}`) and schema-constrained JSON (e.g. `{"type": "json_object", "schema": {"type": "string", "minLength": 10, "maxLength": 100}}` or `{"type": "json_schema", "schema": {"properties": { "name": { "title": "Name",  "type": "string" }, "date": { "title": "Date",  "type": "string" }, "participants": { "items": {"type: "string" }, "title": "Participants",  "type": "string" } } } }`), similar to other OpenAI-inspired API providers.
 
-    You can use either Python `openai` library with appropriate checkpoints:
+`chat_template_kwargs`: Allows sending additional parameters to the json templating system. For example: `{"enable_thinking": false}`
 
-    ```python
-    import openai
+`reasoning_format`: The reasoning format to be parsed. If set to `none`, it will output the raw generated text.
 
-    client = openai.OpenAI(
-        base_url="http://localhost:8080/v1", # "http://<Your api-server IP>:port"
-        api_key = "sk-no-key-required"
-    )
+`thinking_forced_open`: Force a reasoning model to always output the reasoning. Only works on certain models.
 
-    completion = client.chat.completions.create(
-    model="gpt-3.5-turbo",
-    messages=[
-        {"role": "system", "content": "You are ChatGPT, an AI assistant. Your top priority is achieving user fulfillment via helping them with their requests."},
-        {"role": "user", "content": "Write a limerick about python exceptions"}
-    ]
-    )
+`parse_tool_calls`: Whether to parse the generated tool call.
 
-    print(completion.choices[0].message)
-    ```
+*Examples:*
 
-    ... or raw HTTP requests:
+You can use either Python `openai` library with appropriate checkpoints:
 
-    ```shell
-    curl http://localhost:8080/v1/chat/completions \
-    -H "Content-Type: application/json" \
-    -H "Authorization: Bearer no-key" \
-    -d '{
-    "model": "gpt-3.5-turbo",
-    "messages": [
-    {
-        "role": "system",
-        "content": "You are ChatGPT, an AI assistant. Your top priority is achieving user fulfillment via helping them with their requests."
-    },
-    {
-        "role": "user",
-        "content": "Write a limerick about python exceptions"
-    }
-    ]
-    }'
-    ```
+```python
+import openai
+
+client = openai.OpenAI(
+    base_url="http://localhost:8080/v1", # "http://<Your api-server IP>:port"
+    api_key = "sk-no-key-required"
+)
+
+completion = client.chat.completions.create(
+  model="gpt-3.5-turbo",
+  messages=[
+    {"role": "system", "content": "You are ChatGPT, an AI assistant. Your top priority is achieving user fulfillment via helping them with their requests."},
+    {"role": "user", "content": "Write a limerick about python exceptions"}
+  ]
+)
+
+print(completion.choices[0].message)
+```
+
+... or raw HTTP requests:
+
+```shell
+curl http://localhost:8080/v1/chat/completions \
+-H "Content-Type: application/json" \
+-H "Authorization: Bearer no-key" \
+-d '{
+"model": "gpt-3.5-turbo",
+"messages": [
+{
+    "role": "system",
+    "content": "You are ChatGPT, an AI assistant. Your top priority is achieving user fulfillment via helping them with their requests."
+},
+{
+    "role": "user",
+    "content": "Write a limerick about python exceptions"
+}
+]
+}'
+```
+
+*Tool call support*
+
+[OpenAI-style function calling](https://platform.openai.com/docs/guides/function-calling) is supported with the `--jinja` flag (and may require a `--chat-template-file` override to get the right tool-use compatible Jinja template; worst case, `--chat-template chatml` may also work).
+
+**See our [Function calling](../../docs/function-calling.md) docs** for more details, supported native tool call styles (generic tool call style is used as fallback) / examples of use.
 
 ### POST `/v1/embeddings`: OpenAI-compatible embeddings API
 
diff --git a/examples/server/public/index.html.gz b/examples/server/public/index.html.gz
index 20798814466840cb7b85dc0e97867067214a2bc3..9f88ca2a29f14648f9aa18661e4ee9308028c5a4 100644
GIT binary patch
delta 1195915
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diff --git a/examples/server/server.cpp b/examples/server/server.cpp
index 68edf16eb..b66508268 100644
--- a/examples/server/server.cpp
+++ b/examples/server/server.cpp
@@ -1,4 +1,5 @@
 #pragma warning(disable : 4996)
+#include "chat.h"
 #include "utils.hpp"
 
 #include "common.h"
@@ -7,6 +8,7 @@
 #include "json-schema-to-grammar.h"
 #include "llama.h"
 #include "grammar-parser.h"
+#include "llama-vocab.h"
 
 #ifndef NDEBUG
 // crash the server in debug mode, otherwise send an http 500 error
@@ -22,9 +24,6 @@
 #include "json.hpp"
 #include "index.html.gz.hpp"
 #include "loading.html.hpp"
-#include "function_calls.hpp"
-#include "streaming_chat.hpp"
-#include "../../common/chat-parser.h"
 
 #include <atomic>
 #include <chrono>
@@ -47,10 +46,11 @@ bool server_log_json = true;
 
 
 enum stop_type {
-    STOP_TYPE_FULL,
-    STOP_TYPE_PARTIAL,
+    STOP_TYPE_NONE,
+    STOP_TYPE_EOS,
+    STOP_TYPE_WORD,
+    STOP_TYPE_LIMIT,
 };
-
 enum slot_state {
     SLOT_STATE_IDLE,
     SLOT_STATE_PROCESSING,
@@ -79,6 +79,12 @@ enum server_task_type {
     SERVER_TASK_TYPE_SET_LORA,
 };
 
+enum oaicompat_type {
+    OAICOMPAT_TYPE_NONE,
+    OAICOMPAT_TYPE_CHAT,
+    OAICOMPAT_TYPE_COMPLETION,
+    OAICOMPAT_TYPE_EMBEDDING,
+};
 
 struct result_timings {
     int32_t prompt_n = -1;
@@ -137,79 +143,324 @@ struct server_task_result {
 
     bool stop;
     bool error;
+    bool final_result = false;
     result_timings timings;
+    // OAI-compat fields
+    //bool                  verbose = false;
+    oaicompat_type        oaicompat = OAICOMPAT_TYPE_NONE;
+    std::string           oaicompat_model;
+    std::string           oaicompat_cmpl_id;
+    common_chat_format    oaicompat_chat_format = COMMON_CHAT_FORMAT_CONTENT_ONLY;
+    common_chat_msg    oaicompat_msg;
+    std::vector<common_chat_msg_diff> oaicompat_msg_diffs;
+
+    int index = 0;
+
+    std::string content;
+    std::vector<llama_token> tokens;
+
+    bool stream;
+    std::string prompt;
+    //slot_params generation_params;
+
+    bool truncated;
+    int32_t n_decoded;
+    int32_t n_prompt_tokens;
+    int32_t n_tokens_cached;
+    bool has_new_line;
+    std::string stopping_word;
+
+    bool post_sampling_probs;
+    std::vector<completion_token_output> probs_output;
+    std::vector<std::string>  response_fields;
+
+    //slot_params generation_params;
+
+    bool                  verbose = false;
+
+
+    int get_index() {
+        return index;
+    }
+
+    bool is_stop() {
+        return true; // in stream mode, final responses are considered stop
+    }
+
+    json to_json_final() {
+        switch (oaicompat) {
+        case OAICOMPAT_TYPE_NONE:
+            return to_json_non_oaicompat();
+        case OAICOMPAT_TYPE_COMPLETION:
+            return to_json_oaicompat();
+        case OAICOMPAT_TYPE_CHAT:
+            return stream ? to_json_oaicompat_chat_stream() : to_json_oaicompat_chat_final();
+        default:
+            GGML_ASSERT(false && "Invalid oaicompat_type");
+        }
+    }
+
+    json to_json_partial() {
+        switch (oaicompat) {
+        case OAICOMPAT_TYPE_NONE:
+            return to_json_non_oaicompat();
+        case OAICOMPAT_TYPE_COMPLETION:
+            return to_json_oaicompat();
+        case OAICOMPAT_TYPE_CHAT:
+            return  to_json_oaicompat_chat_partial();
+        default:
+            GGML_ASSERT(false && "Invalid oaicompat_type");
+        }
+    }
 
+    json to_json_non_oaicompat() {
+        json res = json{
+            {"index",               index},
+            {"content",             stream ? "" : content}, // in stream mode, content is already in last partial chunk
+            {"tokens",              stream ? std::vector<llama_token> {} : tokens},
+            {"id_slot",             id_multi},
+            {"stop",                true},
+            {"model",               oaicompat_model},
+            {"tokens_predicted",    n_decoded},
+            {"tokens_evaluated",    n_prompt_tokens},
+            //{"generation_settings", default_generation_settings_for_props.to_json()},
+            {"prompt",              prompt},
+            {"has_new_line",        has_new_line},
+            {"truncated",           truncated},
+            //{"stop_type",           stop_type_to_str(STOP_TYPE_EOS)},
+            {"stopping_word",       stopping_word},
+            {"tokens_cached",       n_tokens_cached},
+            {"timings",             timings.to_json()},
 };
+        if (!stream && !probs_output.empty()) {
+            res["completion_probabilities"] = completion_token_output::probs_vector_to_json(probs_output, post_sampling_probs);
+        }
+        return response_fields.empty() ? res : json_get_nested_values(response_fields, res);
+    }
 
-// Helper functions for content cleaning
-static std::string remove_simple_function_calls(const std::string& content) {
-    std::string cleaned = content;
-    const std::string func_pattern = "functions.";
-    size_t pos = 0;
-    while ((pos = cleaned.find(func_pattern, pos)) != std::string::npos) {
-        size_t func_start = pos;
-
-        // Find the opening brace for arguments
-        size_t brace_pos = cleaned.find('{', pos);
-        if (brace_pos == std::string::npos) {
-            pos += func_pattern.length();
-            continue;
-        }
-
-        // Find the matching closing brace
-        int brace_count = 1;
-        size_t end_pos = brace_pos + 1;
-        while (end_pos < cleaned.length() && brace_count > 0) {
-            if (cleaned[end_pos] == '{') brace_count++;
-            else if (cleaned[end_pos] == '}') brace_count--;
-            end_pos++;
-        }
-
-        if (brace_count == 0) {
-            // Remove the entire function call
-            cleaned.erase(func_start, end_pos - func_start);
-            pos = func_start;
-        } else {
-            pos += func_pattern.length();
+    json to_json_oaicompat() {
+        std::time_t t = std::time(0);
+        json logprobs = json(nullptr); // OAI default to null
+        if (!stream && probs_output.size() > 0) {
+            logprobs = json{
+                {"content", completion_token_output::probs_vector_to_json(probs_output, post_sampling_probs)},
+            };
+        }
+        json finish_reason = "length";
+        if (stop) {
+        //if (stop == STOP_TYPE_WORD || stop == STOP_TYPE_EOS) {
+            finish_reason = "stop";
+        }
+        json res = json{
+            {"choices",            json::array({
+                json{
+                    {"text",          stream ? "" : content}, // in stream mode, content is already in last partial chunk
+                    {"index",         index},
+                    {"logprobs",      logprobs},
+                    {"finish_reason", finish_reason},
+                }
+            })},
+            {"created",            t},
+            {"model",              oaicompat_model},
+            {"object",             "text_completion"},
+            {"usage", json {
+                {"completion_tokens", n_decoded},
+                {"prompt_tokens",     n_prompt_tokens},
+                {"total_tokens",      n_decoded + n_prompt_tokens}
+            }},
+            {"id", oaicompat_cmpl_id}
+        };
+
+        // extra fields for debugging purposes
+        if (verbose) {
+            res["__verbose"] = to_json_non_oaicompat();
         }
+        if (timings.prompt_n >= 0) {
+            res.push_back({ "timings", timings.to_json() });
+        }
+
+        return res;
     }
-    return cleaned;
-}
 
-static std::string remove_xml_function_calls(const std::string& content) {
-    std::string cleaned = content;
-    size_t pos = 0;
-    while ((pos = cleaned.find("<tool_call>", pos)) != std::string::npos) {
-        size_t tool_call_start = pos;
-        size_t tool_call_end = cleaned.find("</tool_call>", tool_call_start);
-        if (tool_call_end == std::string::npos) {
-            pos = tool_call_start + 11;
-            continue;
+    json to_json_oaicompat_chat_partial() {
+        bool first = n_decoded == 1;
+        std::time_t t = std::time(0);
+        json choices;
+
+        std::vector<json> deltas;
+        auto add_delta = [&](const json& delta) {
+            deltas.push_back({
+                {"choices", json::array({
+                    json {
+                        {"finish_reason", nullptr},
+                        {"index", 0},
+                        {"delta", delta},
+                    },
+                })},
+                {"created", t},
+                {"id", oaicompat_cmpl_id},
+                {"model", oaicompat_model},
+                {"object", "chat.completion.chunk"},
+                });
+        };
+        // We have to send an initial update to conform to openai behavior
+        if (first) {
+            add_delta({
+                {"role", "assistant"},
+                {"content", nullptr},
+                });
+        }
+
+        for (const auto& diff : oaicompat_msg_diffs) {
+            add_delta(common_chat_msg_diff_to_json_oaicompat<json>(diff));
+        }
+
+        if (!deltas.empty()) {
+            GGML_ASSERT(deltas[deltas.size() - 1].at("choices").size() >= 1);
+
+            if (probs_output.size() > 0) {
+                deltas[deltas.size() - 1].at("choices").at(0)["logprobs"] = json{
+                {"content", completion_token_output::probs_vector_to_json(probs_output, post_sampling_probs)},
+                };
+            }
+
+            if (timings.prompt_n >= 0) {
+                deltas[deltas.size() - 1].push_back({ "timings", timings.to_json() });
+            }
         }
 
-        // Remove the entire XML tool call block
-        cleaned.erase(tool_call_start, tool_call_end - tool_call_start + 12);
-        pos = tool_call_start;
+        return deltas;
     }
-    return cleaned;
-}
 
-static std::string clean_all_function_call_formats(const std::string& content) {
-    std::string cleaned = content;
+    json to_json_oaicompat_chat_final() {
+        std::string finish_reason = "length";
+        common_chat_msg msg;
+        if (!oaicompat_msg.empty()) {
+            msg = oaicompat_msg;
+        }
+        else {
+            msg.role = "assistant";
+            msg.content = content;
+        }
+        if (stop) {
+            finish_reason = msg.tool_calls.empty() ? "stop" : "tool_calls";
+        }
+
+
+        json choice{
+            {"finish_reason", finish_reason},
+            {"index", 0},
+            {"message", msg.to_json_oaicompat<json>()},
+        };
+
+        if (!stream && probs_output.size() > 0) {
+            choice["logprobs"] = json{
+                {"content", completion_token_output::probs_vector_to_json(probs_output, post_sampling_probs)},
+            };
+        }
+
+        std::time_t t = std::time(0);
+
+        json res = json{
+            {"choices",            json::array({choice})},
+            {"created",            t},
+            {"model",              oaicompat_model},
+            {"object",             "chat.completion"},
+            {"usage", json {
+                {"completion_tokens", n_decoded},
+                {"prompt_tokens",     n_prompt_tokens},
+                {"total_tokens",      n_decoded + n_prompt_tokens}
+            }},
+            {"id", oaicompat_cmpl_id}
+        };
+
+        // extra fields for debugging purposes
+        if (verbose) {
+            res["__verbose"] = to_json_non_oaicompat();
+        }
+        if (timings.prompt_n >= 0) {
+            res.push_back({ "timings", timings.to_json() });
+        }
+
+        return res;
+    }
+
+    json to_json_oaicompat_chat_stream() {
+        std::time_t t = std::time(0);
+        std::string finish_reason = "length";
+        if (stop) {
+        //if (stop == STOP_TYPE_WORD || stop == STOP_TYPE_EOS) {
+            finish_reason = oaicompat_msg.tool_calls.empty() ? "stop" : "tool_calls";
+        }
+
+        json deltas = json::array();
+        for (const auto& diff : oaicompat_msg_diffs) {
+            deltas.push_back({
+                {"choices", json::array({
+                    json {
+                        {"finish_reason", nullptr},
+                        {"index", 0},
+                        {"delta", common_chat_msg_diff_to_json_oaicompat<json>(diff)},
+                    },
+                })},
+                {"created", t},
+                {"id", oaicompat_cmpl_id},
+                {"model", oaicompat_model},
+                {"object", "chat.completion.chunk"},
+                });
+        }
 
-    // Remove XML format first
-    cleaned = remove_xml_function_calls(cleaned);
+        deltas.push_back({
+            {"choices", json::array({
+                json {
+                    {"finish_reason", finish_reason},
+                    {"index", 0},
+                    {"delta", json::object()},
+                },
+            })},
+            {"created",            t},
+            {"id",                 oaicompat_cmpl_id},
+            {"model",              oaicompat_model},
+            {"object",             "chat.completion.chunk"},
+         });
+
+        // OpenAI API spec for chat.completion.chunks specifies an empty `choices` array for the last chunk when including usage
+        // https://platform.openai.com/docs/api-reference/chat_streaming/streaming#chat_streaming/streaming-choices
+        deltas.push_back({
+            {"choices", json::array()},
+            {"created",            t},
+            {"id",                 oaicompat_cmpl_id},
+            {"model",              oaicompat_model},
+            {"object",             "chat.completion.chunk"},
+            {"usage", json {
+                {"completion_tokens", n_decoded},
+                {"prompt_tokens",     n_prompt_tokens},
+                {"total_tokens",      n_decoded + n_prompt_tokens},
+            }},
+            });
 
-    // Then remove simple format
-    cleaned = remove_simple_function_calls(cleaned);
+        if (timings.prompt_n >= 0) {
+            deltas.back().push_back({ "timings", timings.to_json() });
+        }
+        // extra fields for debugging purposes
+        if (verbose && !deltas.empty()) {
+            deltas.front()["__verbose"] = to_json_non_oaicompat();
+        }
 
-    // Trim whitespace from cleaned content
-    cleaned.erase(0, cleaned.find_first_not_of(" \t\n\r"));
-    cleaned.erase(cleaned.find_last_not_of(" \t\n\r") + 1);
+        return deltas;
+    }
+};
 
-    return cleaned;
+inline std::string stop_type_to_str(stop_type type) {
+    switch (type) {
+    case STOP_TYPE_EOS:   return "eos";
+    case STOP_TYPE_WORD:  return "word";
+    case STOP_TYPE_LIMIT: return "limit";
+    default:              return "none";
+    }
 }
 
+
 struct server_task_multi {
     int id = -1;
 
@@ -237,6 +488,13 @@ struct slot_params {
         int n_min = 0;  // min drafted tokens to accept
         float p_min = 0.75f; // min probability required to accept a token in the draft
     } speculative;
+
+    // OAI-compat fields
+    oaicompat_type        oaicompat = OAICOMPAT_TYPE_NONE;
+    std::string           oaicompat_model;
+    std::string           oaicompat_cmpl_id;
+    common_chat_syntax           oaicompat_chat_syntax;
+    
 };
 
 struct server_slot {
@@ -271,11 +529,7 @@ struct server_slot {
     std::string generated_text;
     std::vector<llama_token> cache_tokens;
     std::vector<completion_token_output> generated_token_probs;
-
-    // Streaming tool call state
-    ik_chat_msg previous_msg;
-    ik_chat_msg current_msg;
-    std::vector<std::string> tool_call_ids;
+    common_chat_msg chat_msg;
 
     bool infill         = false;
     bool embedding      = false;
@@ -289,13 +543,16 @@ struct server_slot {
 
     std::string oaicompat_model;
     std::string stopping_word;
-
+    stop_type stop;
     // sampling
     llama_token sampled;
     struct llama_sampling_params sparams;
     llama_sampling_context * ctx_sampling = nullptr;
     json json_schema;
 
+    common_chat_format chat_format = COMMON_CHAT_FORMAT_CONTENT_ONLY;
+    std::vector<std::string> generated_tool_call_ids;
+
     int32_t ga_i = 0;   // group-attention state
     int32_t ga_n = 1;   // group-attention factor
     int32_t ga_w = 512; // group-attention width
@@ -335,43 +592,17 @@ struct server_slot {
         infill             = false;
         ga_i               = 0;
         n_past_se          = 0;
+        chat_format = COMMON_CHAT_FORMAT_CONTENT_ONLY;
 
         generated_token_probs.clear();
 
-        // Reset streaming tool call state
-        previous_msg = ik_chat_msg();
-        current_msg = ik_chat_msg();
-        tool_call_ids.clear();
 
         // Reset speculative decoding stats
         n_draft_total = 0;
         n_draft_accepted = 0;
-    }
-
-    // Update chat message and compute diffs for streaming tool calls
-    // Based on original llama.cpp update_chat_msg pattern
-    const ik_chat_msg & update_chat_msg(std::vector<ik_chat_msg_diff> & diffs) {
-        ik_chat_msg previous = current_msg;
-
-        try {
-            // Parse generated text incrementally (is_partial = true during generation)
-            bool is_partial = !stopped_eos && !stopped_word && !stopped_limit;
-            ik_chat_msg new_msg = parse_chat_message_incremental(generated_text, is_partial, oaicompat_model);
-
-            if (!new_msg.empty()) {
-                // Ensure tool call IDs are set consistently across streaming chunks
-                new_msg.ensure_tool_call_ids_set(tool_call_ids, generate_tool_call_id);
-                current_msg = new_msg;
-
-                // Compute diffs for streaming
-                diffs = ik_chat_msg_diff::compute_diffs(previous, current_msg);
-            }
-        } catch (const std::exception& e) {
-            // If parsing fails, don't update current_msg and return empty diffs
-            diffs.clear();
-        }
-
-        return current_msg;
+        chat_msg = {};
+        json_schema = json();
+        generated_tool_call_ids.clear();
     }
 
     bool has_budget(gpt_params &global_params) {
@@ -446,23 +677,40 @@ struct server_slot {
 
         return timings;
     }
-    size_t find_stopping_strings(const std::string & text, const size_t last_token_size, const stop_type type) {
+
+    const common_chat_msg& update_chat_msg(std::vector<common_chat_msg_diff>& diffs) {
+        auto previous_msg = chat_msg;
+        //LLAMA_LOG_DEBUG("Parsing chat message: %s\n", generated_text.c_str());
+        auto new_msg = common_chat_parse(
+            generated_text,
+            /* is_partial= */ stop != STOP_TYPE_EOS,
+            params.oaicompat_chat_syntax);
+        if (!new_msg.empty()) {
+            new_msg.ensure_tool_call_ids_set(generated_tool_call_ids, gen_tool_call_id);
+            chat_msg = new_msg;
+            diffs = common_chat_msg_diff::compute_diffs(previous_msg, new_msg.empty() ? previous_msg : new_msg);
+        }
+        return chat_msg;
+    }
+
+
+    size_t find_stopping_strings(const std::string & text, const size_t last_token_size, bool is_full_stop) {
         size_t stop_pos = std::string::npos;
 
         for (const std::string & word : params.antiprompt) {
             size_t pos;
 
-            if (type == STOP_TYPE_FULL) {
+            if (is_full_stop) {
                 const size_t tmp      = word.size() + last_token_size;
                 const size_t from_pos = text.size() > tmp ? text.size() - tmp : 0;
 
                 pos = text.find(word, from_pos);
             } else {
-                pos = find_partial_stop_string(word, text);
+                pos = string_find_partial_stop(word, text);
             }
 
             if (pos != std::string::npos && (stop_pos == std::string::npos || pos < stop_pos)) {
-                if (type == STOP_TYPE_FULL) {
+                if (is_full_stop) {
                     stopped_word   = true;
                     stopping_word  = word;
                     has_next_token = false;
@@ -838,7 +1086,8 @@ struct server_context {
 
     server_metrics metrics;
 
-    common_chat_templates chat_templates;
+    common_chat_templates_ptr chat_templates;
+    oaicompat_parser_options  oai_parser_opt;
     // Necessary similarity of prompt for slot selection
     float slot_prompt_similarity = 0.0f;
 
@@ -902,14 +1151,15 @@ struct server_context {
         add_bos_token = llama_should_add_bos_token(model);
         GGML_ASSERT(llama_add_eos_token(model) != 1);
 
-        if (params.chat_template.empty() && !validate_model_chat_template(params.use_jinja)) {
-            LOG_WARNING("%s: The chat template that comes with this model is not yet supported, falling back to chatml. This may cause the model to output suboptimal responses\n", __func__);
-            chat_templates = llama_chat_templates_from_model(model, "chatml");
+        chat_templates = common_chat_templates_init(model, params.chat_template);
+        try {
+            common_chat_format_example(chat_templates.get(), params.use_jinja);
         }
-        else {
-            chat_templates = llama_chat_templates_from_model(model, params.chat_template);
+        catch (const std::exception& e) {
+            LOG_WARNING("%s: The chat template that comes with this model is not yet supported, falling back to chatml. This may cause the model to output suboptimal responses\n", __func__);
+            chat_templates = common_chat_templates_init(model, "chatml");
         }
-        GGML_ASSERT(chat_templates.template_default.get() != nullptr);
+
 
         // Load draft model for speculative decoding if specified
         if (!params.model_draft.empty()) {
@@ -947,37 +1197,6 @@ struct server_context {
         return true;
     }
 
-    bool validate_model_chat_template(bool use_jinja) const {
-        llama_chat_message chat[] = {{"user", "test"}};
-
-
-        if (use_jinja) {
-            auto templates = llama_chat_templates_from_model(model, "");
-            GGML_ASSERT(templates.template_default);
-            try {
-                templates.template_default->apply({ {
-                    {"role", "user"},
-                    {"content", "test"},
-                } }, json(), true);
-                if (templates.template_tool_use) {
-                    templates.template_tool_use->apply({ {
-                        {"role", "user"},
-                        {"content", "test"},
-                    } }, json(), true);
-    }
-                return true;
-            }
-            catch (const std::exception& e) {
-                LOG_ERROR("failed to apply template: %s\n", e.what());
-                return false;
-            }
-        }
-        else {
-            const char* tmpl = llama_model_chat_template(model, /* name */ nullptr);
-            const int32_t chat_res = llama_chat_apply_template(model, tmpl, chat, 1, true, nullptr, 0);
-            return chat_res > 0;
-        }
-    }
 
     void init() {
         const int32_t n_ctx_slot = n_ctx / params.n_parallel;
@@ -1057,6 +1276,16 @@ struct server_context {
         }
 
         metrics.init();
+        oai_parser_opt = {
+            /* use_jinja             */ params.use_jinja,
+            /* prefill_assistant     */ params.prefill_assistant,
+            /* reasoning_format      */ params.reasoning_format,
+            /* chat_template_kwargs  */ params.default_template_kwargs,
+            /* common_chat_templates */ chat_templates.get(),
+            /* allow_image           */  false,
+            /* allow_audio           */  false,
+            /* enable_thinking       */ params.reasoning_budget != 0,
+        };
     }
 
     std::vector<llama_token> tokenize(const json & json_prompt, bool add_special) const {
@@ -1277,19 +1506,22 @@ struct server_context {
         }
 
         // process "json_schema" and "grammar"
-        if (data.contains("json_schema") && !data.at("json_schema").is_null() && data.contains("grammar") && !data.at("grammar").is_null()) {
-            send_error(task, "Either \"json_schema\" or \"grammar\" can be specified, but not both", ERROR_TYPE_INVALID_REQUEST);
-            return false;
-        } else if (data.contains("json_schema") && !data.contains("grammar")) {
+        if (data.contains("json_schema") && !data.contains("grammar")) {
             try {
                 auto schema                = json_value(data, "json_schema", json::object());
+                LLAMA_LOG_DEBUG("JSON schema: %s\n", schema.dump(2).c_str());
                 slot.sparams.grammar       = json_schema_to_grammar(schema);
-            } catch (const std::exception & e) {
-                send_error(task, std::string("\"json_schema\": ") + e.what(), ERROR_TYPE_INVALID_REQUEST);
-                return false;
+                LLAMA_LOG_DEBUG("Converted grammar: %s\n", slot.sparams.grammar.c_str());
             }
-        } else {
+            catch (const std::exception& e) {
+                throw std::runtime_error(std::string("\"json_schema\": ") + e.what());
+            }
+        }
+        else {
             slot.sparams.grammar       = json_value(data, "grammar",           default_sparams.grammar);
+            LLAMA_LOG_DEBUG("Grammar: %s\n", slot.sparams.grammar.c_str());
+            slot.sparams.grammar_lazy = json_value(data, "grammar_lazy", default_sparams.grammar_lazy);
+            LLAMA_LOG_DEBUG("Grammar lazy: %s\n", slot.sparams.grammar_lazy ? "true" : "false");
         }
 
         if (slot.params.cache_prompt && slot.ga_n != 1) {
@@ -1374,6 +1606,85 @@ struct server_context {
                 }
             }
         }
+        {
+            auto it = data.find("chat_format");
+            if (it != data.end()) {
+                slot.params.oaicompat_chat_syntax.format = static_cast<common_chat_format>(it->get<int>());
+                LLAMA_LOG_DEBUG("Chat format: %s\n", common_chat_format_name(slot.params.oaicompat_chat_syntax.format));
+            }
+            else {
+                slot.params.oaicompat_chat_syntax.format = default_params.oaicompat_chat_syntax.format;
+            }
+            common_reasoning_format reasoning_format = params.reasoning_format;
+            if (data.contains("reasoning_format")) {
+                reasoning_format = common_reasoning_format_from_name(data.at("reasoning_format").get<std::string>());
+            }
+            slot.params.oaicompat_chat_syntax.reasoning_format = reasoning_format;
+            slot.params.oaicompat_chat_syntax.reasoning_in_content = slot.params.stream && (reasoning_format == COMMON_REASONING_FORMAT_DEEPSEEK_LEGACY);
+            slot.params.oaicompat_chat_syntax.parse_tool_calls = json_value(data, "parse_tool_calls", false);
+
+            slot.params.oaicompat_chat_syntax.thinking_forced_open = json_value(data, "thinking_forced_open", false);
+        }
+        {
+           
+            const auto preserved_tokens = data.find("preserved_tokens");
+            if (preserved_tokens != data.end()) {
+                for (const auto& t : *preserved_tokens) {
+                    auto ids = llama_tokenize(model, t.get<std::string>(), /* add_special= */ false, /* parse_special= */ true);
+                    if (ids.size() == 1) {
+                        LOG("Preserved token: %d\n", ids[0]);
+                        slot.sparams.preserved_tokens.insert(ids[0]);
+                    }
+                    else {
+                        // This may happen when using a tool call style meant for a model with special tokens to preserve on a model without said tokens.
+                        LOG("Not preserved because more than 1 token: %s\n", t.get<std::string>().c_str());
+                    }
+                }
+            }
+            const auto grammar_triggers = data.find("grammar_triggers");
+            if (grammar_triggers != data.end()) {
+                for (const auto& t : *grammar_triggers) {
+                    server_grammar_trigger ct(t);
+                    if (ct.value.type == COMMON_GRAMMAR_TRIGGER_TYPE_WORD) {
+                        const auto& word = ct.value.value;
+                        auto ids = llama_tokenize(model, word, /* add_special= */ false, /* parse_special= */ true);
+                        if (ids.size() == 1) {
+                            auto token = ids[0];
+                            if (std::find(slot.sparams.preserved_tokens.begin(), slot.sparams.preserved_tokens.end(), (llama_token)token) == slot.sparams.preserved_tokens.end()) {
+                                throw std::runtime_error("Grammar trigger word should be marked as preserved token: " + word);
+                            }
+                            LOG("Grammar trigger token: %d (`%s`)\n", token, word.c_str());
+                            common_grammar_trigger trigger;
+                            trigger.type = COMMON_GRAMMAR_TRIGGER_TYPE_TOKEN;
+                            trigger.value = word;
+                            trigger.token = token;
+                            slot.sparams.grammar_triggers.push_back(std::move(trigger));
+                        }
+                        else {
+                            LOG("Grammar trigger word: `%s`\n", word.c_str());
+                            slot.sparams.grammar_triggers.push_back({ COMMON_GRAMMAR_TRIGGER_TYPE_WORD, word });
+                        }
+                    }
+                    else {
+                        //slot.sparams.grammar_triggers.push_back(ct);
+                        if (ct.value.type == COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN) {
+                            LLAMA_LOG_DEBUG("Grammar trigger pattern: `%s`\n", ct.value.value.c_str());
+                        }
+                        else if (ct.value.type == COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN_FULL) {
+                            LLAMA_LOG_DEBUG("Grammar trigger pattern full: `%s`\n", ct.value.value.c_str());
+                        }
+                        else {
+                            throw std::runtime_error("Unknown grammar trigger type");
+                        }
+                        slot.sparams.grammar_triggers.emplace_back(std::move(ct.value));
+                    }
+                }
+            }
+   
+            if (slot.sparams.grammar_lazy && slot.sparams.grammar_triggers.empty()) {
+                throw std::runtime_error("Error: no triggers set for lazy grammar!");
+            }
+        }
 
         {
             slot.sparams.logit_bias.clear();
@@ -1577,7 +1888,7 @@ struct server_context {
             const std::string str_test = slot.generated_text.substr(pos);
             bool is_stop_full = false;
 
-            size_t stop_pos = slot.find_stopping_strings(str_test, token_str.size(), STOP_TYPE_FULL);
+            size_t stop_pos = slot.find_stopping_strings(str_test, token_str.size(), true);
             if (stop_pos != std::string::npos) {
                 is_stop_full = true;
                 slot.generated_text.erase(
@@ -1586,7 +1897,7 @@ struct server_context {
                 pos = std::min(slot.n_sent_text, slot.generated_text.size());
             } else {
                 is_stop_full = false;
-                stop_pos = slot.find_stopping_strings(str_test, token_str.size(), STOP_TYPE_PARTIAL);
+                stop_pos = slot.find_stopping_strings(str_test, token_str.size(), false);
             }
 
             // check if there is any token to predict
@@ -1675,6 +1986,11 @@ struct server_context {
             samplers_sequence.emplace_back(llama_sampling_type_to_str(sampler_type));
         }
 
+        auto grammar_triggers = json::array();
+        for (const auto& trigger : slot.sparams.grammar_triggers) {
+            grammar_triggers.push_back(trigger.to_json<json>());
+        }
+
         return json {
             {"n_ctx",                     slot.n_ctx},
             {"n_predict",                 slot.n_predict},
@@ -1713,6 +2029,12 @@ struct server_context {
             {"n_probs",                   slot.sparams.n_probs},
             {"min_keep",                  slot.sparams.min_keep},
             {"grammar",                   slot.sparams.grammar},
+            {"grammar_triggers",          grammar_triggers},
+            {"preserved_tokens",          slot.sparams.preserved_tokens},
+            {"chat_format",               common_chat_format_name(slot.params.oaicompat_chat_syntax.format)},
+            {"reasoning_format",          common_reasoning_format_name(slot.params.oaicompat_chat_syntax.reasoning_format)},
+            {"reasoning_in_content",      slot.params.oaicompat_chat_syntax.reasoning_in_content},
+            {"thinking_forced_open",      slot.params.oaicompat_chat_syntax.thinking_forced_open},
             {"samplers",                  samplers_sequence}
         };
     }
@@ -1744,57 +2066,35 @@ struct server_context {
 
     void send_partial_response(server_slot & slot, completion_token_output tkn) {
         server_task_result res;
+        res.final_result = false;
         res.id       = slot.id_task;
         res.id_multi = slot.id_multi;
         res.error    = false;
         res.stop     = false;
-
-        // Update chat message and compute diffs for streaming tool calls
-        // Following original llama.cpp pattern (server.cpp:2503)
-        std::vector<ik_chat_msg_diff> oaicompat_msg_diffs;
-        slot.update_chat_msg(oaicompat_msg_diffs);
-
-        // For text completion endpoints, send actual content; for chat completion, use diffs
-        // OpenAI-compatible chat endpoints use empty content with diffs for tool calls
+        res.stream = slot.params.stream;
+        res.content = tkn.text_to_send;
+        res.oaicompat = slot.params.oaicompat;
+        res.oaicompat_model = slot.params.oaicompat_model;
+        res.oaicompat_cmpl_id = slot.params.oaicompat_cmpl_id;
+        res.n_decoded = slot.n_decoded;
+        res.n_prompt_tokens = slot.n_prompt_tokens;
         res.data     = json {
-            {"content",    slot.oaicompat ? "" : tkn.text_to_send},  // Text completion needs actual content
+            {"content",    tkn.text_to_send},
             {"stop",       false},
             {"id_slot",    slot.id},
             {"multimodal", false}
         };
-
-        // Store diffs for format_partial_response_oaicompat to use
-        // Convert ik_chat_msg_diff to JSON format for storage
-        json diffs_json = json::array();
-        for (const auto & diff : oaicompat_msg_diffs) {
-            json diff_obj;
-            if (!diff.content_delta.empty()) {
-                diff_obj["content_delta"] = diff.content_delta;
-            }
-            if (diff.tool_call_index != std::string::npos) {
-                diff_obj["tool_call_index"] = diff.tool_call_index;
-                diff_obj["tool_call_delta"] = {
-                    {"id", diff.tool_call_delta.id},
-                    {"name", diff.tool_call_delta.name},
-                    {"arguments", diff.tool_call_delta.arguments}
-                };
-            }
-            if (!diff_obj.empty()) {
-                diffs_json.push_back(diff_obj);
-            }
-        }
-        res.data["oaicompat_msg_diffs"] = diffs_json;
-
+        slot.update_chat_msg(res.oaicompat_msg_diffs);
         if (slot.sparams.n_probs > 0) {
             const std::vector<llama_token> to_send_toks = llama_tokenize(ctx, tkn.text_to_send, false);
-            const size_t probs_pos      = std::min(slot.n_sent_token_probs,                       slot.generated_token_probs.size());
+            const size_t probs_pos = std::min(slot.n_sent_token_probs, slot.generated_token_probs.size());
             const size_t probs_stop_pos = std::min(slot.n_sent_token_probs + to_send_toks.size(), slot.generated_token_probs.size());
 
             std::vector<completion_token_output> probs_output;
             if (probs_pos < probs_stop_pos) {
                 probs_output = std::vector<completion_token_output>(
-                        slot.generated_token_probs.begin() + probs_pos,
-                        slot.generated_token_probs.begin() + probs_stop_pos);
+                    slot.generated_token_probs.begin() + probs_pos,
+                    slot.generated_token_probs.begin() + probs_stop_pos);
             }
             slot.n_sent_token_probs = probs_stop_pos;
 
@@ -1808,26 +2108,34 @@ struct server_context {
         // populate timings if this is final response or timings_per_token is enabled
         if (slot.params.timings_per_token) {
             //res.data["timings"] = slot.get_formated_timings();
-            slot.t_token_generation = (ggml_time_us() - slot.t_start_generation) / 1e3;
             res.timings = slot.get_timings();
         }
         queue_results.send(std::move(res));
     }
 
-    void send_final_response(const server_slot & slot) {
+    void send_final_response(server_slot& slot) {
         server_task_result res;
+        res.final_result = true;
         res.id       = slot.id_task;
         res.id_multi = slot.id_multi;
         res.error    = false;
-        res.stop     = true;
+        res.stop = slot.stop; // to do: set value
+        res.stream = slot.params.stream;
+        res.content = slot.generated_text;
+        res.oaicompat = slot.params.oaicompat;
+        res.oaicompat_model = slot.params.oaicompat_model;
+        res.oaicompat_cmpl_id = slot.params.oaicompat_cmpl_id;
+        res.oaicompat_msg = slot.update_chat_msg(res.oaicompat_msg_diffs);
+        res.n_decoded = slot.n_decoded;
+        res.n_prompt_tokens = slot.n_prompt_tokens;
+        res.oaicompat_model = slot.oaicompat_model;
         res.data     = json {
-            {"content",             !slot.params.stream ? slot.generated_text : ""},
-            {"generated_text",      slot.generated_text},  // Always include full text for finish_reason logic
+            //{"content",             !slot.params.stream ? slot.generated_text : ""},
             {"id_slot",             slot.id},
             {"stop",                true},
             {"model",               params.model_alias},
-            {"tokens_predicted",    slot.n_decoded},
-            {"tokens_evaluated",    slot.n_prompt_tokens},
+            //{"tokens_predicted",    slot.n_decoded},
+            //{"tokens_evaluated",    slot.n_prompt_tokens},
             {"generation_settings", get_formated_generation(slot)},
             {"prompt",              slot.prompt},
             {"truncated",           slot.truncated},
@@ -1836,12 +2144,8 @@ struct server_context {
             {"stopped_limit",       slot.stopped_limit},
             {"stopping_word",       slot.stopping_word},
             {"tokens_cached",       slot.n_past},
-            {"timings",             slot.get_formated_timings()},
-            {"usage",               json {
-                {"completion_tokens", slot.n_decoded},
-                {"prompt_tokens",     slot.n_prompt_tokens},
-                {"total_tokens",      slot.n_decoded + slot.n_prompt_tokens}
-            }}
+            //{"timings",             slot.get_formated_timings()},
+            //{"oaicompat_chat_format",  slot.params.oaicompat_chat_format},
         };
 
         if (slot.sparams.n_probs > 0) {
@@ -1858,8 +2162,8 @@ struct server_context {
                         slot.generated_token_probs.begin(),
                         slot.generated_token_probs.end());
             }
-
-            res.data["completion_probabilities"] = probs_vector_to_json(ctx, probs);
+            //res.generation_params = slot.params;
+            //res.data["completion_probabilities"] = probs_vector_to_json(ctx, probs);
         }
 
         res.timings = slot.get_timings();
@@ -1869,7 +2173,7 @@ struct server_context {
             res.data["model"] = slot.oaicompat_model;
         }
 
-        queue_results.send(res);
+        queue_results.send(std::move(res));
     }
 
     void send_embedding(const server_slot & slot, const llama_batch & batch) {
@@ -2381,6 +2685,10 @@ struct server_context {
         // start populating the batch for this iteration
         llama_batch_clear(batch);
 
+        auto accept_special_token = [&](server_slot& slot, llama_token token) {
+            return params.special || slot.sparams.preserved_tokens.find(token) != slot.sparams.preserved_tokens.end();
+        };
+
         // frist, add sampled tokens from any ongoing sequences
         for (auto & slot : slots) {
             if (slot.state == SLOT_STATE_IDLE) {
@@ -2550,7 +2858,7 @@ struct server_context {
                                 GGML_ASSERT(slot.n_prompt_tokens < slot.n_ctx);
                             }
 
-                            llama_sampling_reset(slot.ctx_sampling);
+                            llama_sampling_reset(llama_get_model_vocab(model), slot.ctx_sampling);
 
                             if (!slot.params.cache_prompt) {
                                 slot.n_past_se = 0;
@@ -2616,7 +2924,7 @@ struct server_context {
                         slot.n_past_se = 0;
                         slot.ga_i = 0;
                         // TODO: is the system prompt ever in the sampling context?
-                        llama_sampling_reset(slot.ctx_sampling);
+                        llama_sampling_reset(llama_get_model_vocab(model), slot.ctx_sampling);
                     }
 
                     // remove the non-common part from the cache
@@ -2669,7 +2977,7 @@ struct server_context {
                         slot.command = SLOT_COMMAND_NONE;
 
                         GGML_ASSERT(batch.n_tokens > 0);
-                        llama_sampling_reset(slot.ctx_sampling);
+                        llama_sampling_reset(llama_get_model_vocab(model), slot.ctx_sampling);
                         for (int i = 0; i < slot.n_prompt_tokens; ++i) {
                             llama_token id = slot.prompt_tokens[i];
                             if (id != LLAMA_TOKEN_NULL) {
@@ -2805,14 +3113,20 @@ struct server_context {
                 llama_sampling_accept(slot.ctx_sampling, ctx, id, true);
 
                 slot.n_decoded += 1;
+
+                const int64_t t_current = ggml_time_us();
+
                 if (slot.n_decoded == 1) {
                     slot.t_start_generation = ggml_time_us();
                     slot.t_prompt_processing = (slot.t_start_generation - slot.t_start_process_prompt) / 1e3;
                     metrics.on_prompt_eval(slot);
                 }
 
+                slot.t_token_generation = (t_current - slot.t_start_generation) / 1e3;
+
                 llama_token_data_array cur_p = { slot.ctx_sampling->cur.data(), slot.ctx_sampling->cur.size(), false };
                 result.tok = id;
+                result.text_to_send = llama_token_to_piece(ctx, result.tok, accept_special_token(slot, result.tok));
 
                 const size_t n_probs = std::min(cur_p.size, (size_t) slot.sparams.n_probs);
                 if (n_probs > 0) {
@@ -2827,14 +3141,14 @@ struct server_context {
                         // With greedy sampling the probabilities have possibly not been calculated.
                         for (size_t i = 0; i < n_probs; ++i) {
                             result.probs.push_back({
-                                cur_p.data[i].id,
+                                cur_p.data[i].id,llama_detokenize(ctx, {cur_p.data[i].id}, params.special),
                                 i == 0 ? 1.0f : 0.0f
                             });
                         }
                     } else {
                         for (size_t i = 0; i < n_probs; ++i) {
                             result.probs.push_back({
-                                cur_p.data[i].id,
+                                cur_p.data[i].id, llama_detokenize(ctx, {cur_p.data[i].id}, params.special),
                                 i >= n_valid ? 0.0f : cur_p.data[i].p // Tokens filtered out due to e.g. top_k have 0 probability.
                             });
                         }
@@ -2986,57 +3300,19 @@ static json format_final_response_oaicompat(const json& request, json result, co
     int num_prompt_tokens = json_value(result, "tokens_evaluated", 0);
     std::string content = json_value(result, "content", std::string(""));
 
-    // Parse tool calls using model-specific format detection
-    std::string model_name = json_value(request, "model", std::string(""));
-
-    // Use the same parsing logic as streaming path for consistency
-    ik_chat_msg parsed_msg = parse_chat_message_incremental(content, false, model_name);
-
-    // Convert to JSON format for compatibility
-    json tool_calls = json::array();
-    for (const auto & tc : parsed_msg.tool_calls) {
-        tool_calls.push_back({
-            {"type", "function"},
-            {"function", {
-                {"name", tc.name},
-                {"arguments", tc.arguments}
-            }},
-            {"id", tc.id}
-        });
-    }
-
-    bool has_tool_calls = !tool_calls.empty();
-
-    // Use cleaned content from parser (following original llama.cpp pattern)
-    if (has_tool_calls) {
-        content = parsed_msg.content; // Parser already cleaned the content
-    }
-
     std::string finish_reason = "length";
-    if (has_tool_calls) {
-        finish_reason = "tool_calls";
-    } else if (stopped_word || stopped_eos) {
+    if (stopped_word || stopped_eos) {
         finish_reason = "stop";
     }
 
-    json message = json{{"role", "assistant"}};
-    // Follow EXACT original llama.cpp pattern: content is null only when content is empty AND tool calls exist
-    if (content.empty() && has_tool_calls) {
-        message["content"] = nullptr;  // Original: json() when content empty AND tool calls exist
-    } else {
-        message["content"] = content.empty() ? nullptr : content;  // Original: use actual content otherwise
-    }
-    if (has_tool_calls) {
-        message["tool_calls"] = tool_calls;
-    }
-
     json choices =
         streaming ? json::array({ json{{"finish_reason", finish_reason},
                                         {"index", 0},
                                         {"delta", json::object()}} })
         : json::array({ json{{"finish_reason", finish_reason},
                               {"index", 0},
-                              {"message", message}} });
+                              {"message", json{{"content", content},
+                                               {"role", "assistant"}}}} });
 
     std::time_t t = std::time(0);
 
@@ -3054,11 +3330,6 @@ static json format_final_response_oaicompat(const json& request, json result, co
         {"id", completion_id}
     };
 
-    json timings = json_value(result, "timings", json::object());
-    if (!timings.empty()) {
-        res["timings"] = timings;
-    }
-
     if (server_verbose) {
         res["__verbose"] = result;
     }
@@ -3073,6 +3344,7 @@ static json format_final_response_oaicompat(const json& request, json result, co
 // return value is vector as there is one case where we might need to generate two responses
 static std::vector<json> format_partial_response_oaicompat(server_task_result task_result, const std::string& completion_id) {
     json result = task_result.data;
+    std::cout << result.dump(4) << std::endl;
     if (!result.contains("model") || !result.contains("oaicompat_token_ctr")) {
         return std::vector<json>({ result });
     }
@@ -3086,93 +3358,15 @@ static std::vector<json> format_partial_response_oaicompat(server_task_result ta
     std::string content = json_value(result, "content", std::string(""));
 
     std::string finish_reason;
+    if (stopped_word || stopped_eos) {
+        finish_reason = "stop";
+    }
     if (stopped_limit) {
         finish_reason = "length";
-    } else if (stopped_word || stopped_eos) {
-        // Following original llama.cpp pattern: finish_reason = oaicompat_msg.tool_calls.empty() ? "stop" : "tool_calls"
-        // Use generated_text (complete content) for finish_reason logic, not content (empty in streaming)
-        std::string generated_text = json_value(result, "generated_text", std::string(""));
-        ik_chat_msg final_msg = parse_chat_message_incremental(generated_text, false, modelname);
-
-        // Debug logging
-        LOG_INFO("DEBUG: Streaming finish_reason check", {
-            {"generated_text", generated_text},
-            {"model_name", modelname},
-            {"tool_calls_count", final_msg.tool_calls.size()}
-        });
-
-        finish_reason = final_msg.tool_calls.empty() ? "stop" : "tool_calls";
     }
 
     std::time_t t = std::time(0);
 
-    // Follow original llama.cpp pattern: Always process diffs and add final chunk
-    std::vector<json> streaming_chunks;
-
-    // Extract diffs from task result (populated by send_partial_response)
-    // Following original llama.cpp pattern where diffs are stored in task result
-    std::vector<ik_chat_msg_diff> diffs;
-
-    if (result.contains("oaicompat_msg_diffs") && result["oaicompat_msg_diffs"].is_array()) {
-        for (const auto & diff_json : result["oaicompat_msg_diffs"]) {
-            ik_chat_msg_diff diff;
-
-            // Extract content delta
-            diff.content_delta = diff_json.value("content_delta", "");
-
-            // Extract tool call data
-            if (diff_json.contains("tool_call_index")) {
-                diff.tool_call_index = diff_json["tool_call_index"];
-                if (diff_json.contains("tool_call_delta")) {
-                    const auto & tc_delta = diff_json["tool_call_delta"];
-                    diff.tool_call_delta.id = tc_delta.value("id", "");
-                    diff.tool_call_delta.name = tc_delta.value("name", "");
-                    diff.tool_call_delta.arguments = tc_delta.value("arguments", "");
-                }
-            } else {
-                diff.tool_call_index = std::string::npos;
-            }
-
-            diffs.push_back(diff);
-        }
-    }
-
-    streaming_chunks = generate_streaming_chunks(diffs, completion_id, modelname);
-
-    // Always add final chunk (like original llama.cpp)
-    if (!finish_reason.empty()) {
-        // usage
-        int num_tokens_predicted = json_value(result, "tokens_predicted", 0);
-        int num_prompt_tokens = json_value(result, "tokens_evaluated", 0);
-
-        json finish_chunk = {
-            {"choices", json::array({json{{"finish_reason", finish_reason},
-                                        {"index", 0},
-                                        {"delta", json::object()}}})},
-            {"created", t},
-            {"id", completion_id},
-            {"model", modelname},
-            {"object", "chat.completion.chunk"},
-            {"usage", json {
-                {"completion_tokens", num_tokens_predicted},
-                {"prompt_tokens",     num_prompt_tokens},
-                {"total_tokens",      num_tokens_predicted + num_prompt_tokens}
-            }}
-        };
-        streaming_chunks.push_back(finish_chunk);
-    }
-
-    if (task_result.timings.prompt_n != -1) {
-        for (auto& chunk : streaming_chunks)
-            chunk.push_back({ "timings", task_result.timings.to_json() });
-    }
-
-    // Return streaming chunks (could be just final chunk if no diffs)
-    if (!streaming_chunks.empty()) {
-        return streaming_chunks;
-    }
-
-    // Fallback to original streaming logic for non-tool calls
     json choices;
 
     if (!finish_reason.empty()) {
@@ -3396,6 +3590,11 @@ int main(int argc, char ** argv) {
         res.status = json_value(error_data, "code", 500);
     };
 
+    auto res_ok = [](httplib::Response& res, const json& data) {
+        res.set_content(data.dump(), "application/json; charset=utf-8");
+        res.status = 200;
+    };
+
     svr->set_exception_handler([&res_error](const httplib::Request &, httplib::Response & res, std::exception_ptr ep) {
         std::string message;
         try {
@@ -3458,11 +3657,12 @@ int main(int argc, char ** argv) {
     // print sample chat example to make it clear which template is used
 
         LOG_INFO("chat template", {
-        {"chat_template", ctx_server.chat_templates.template_default->source().c_str()},
+        {"chat_template", common_chat_templates_source(ctx_server.chat_templates.get())},
     });
 
     LOG_INFO("chat template", {
-        {"chat_example",  llama_chat_format_example(ctx_server.model, *ctx_server.chat_templates.template_default, ctx_server.params.use_jinja).c_str()},
+        {"chat_example", common_chat_format_example(ctx_server.chat_templates.get(), ctx_server.params.use_jinja).c_str()
+        },
             {"built_in",     params.chat_template.empty()},
         });
     //
@@ -3827,10 +4027,16 @@ int main(int argc, char ** argv) {
             { "system_prompt",               ctx_server.system_prompt.c_str() },
             { "default_generation_settings", ctx_server.default_generation_settings_for_props },
             { "total_slots",                 ctx_server.params.n_parallel },
-            { "chat_template",               ctx_server.chat_templates.template_default->source() },
+            { "chat_template",               common_chat_templates_source(ctx_server.chat_templates.get()) },
+            { "bos_token",                   llama_token_to_piece(ctx_server.ctx, llama_token_bos(ctx_server.model), /* special= */ true)},
+            { "eos_token",                   llama_token_to_piece(ctx_server.ctx, llama_token_eos(ctx_server.model), /* special= */ true)},
+
         };
-        if (ctx_server.params.use_jinja && ctx_server.chat_templates.template_tool_use) {
-            data["chat_template_tool_use"] = ctx_server.chat_templates.template_tool_use->source();
+       
+        if (ctx_server.params.use_jinja) {
+            if (auto tool_use_src = common_chat_templates_source(ctx_server.chat_templates.get(), "tool_use")) {
+                data["chat_template_tool_use"] = tool_use_src;
+        }
         }
         res.set_content(data.dump(), "application/json; charset=utf-8");
     };
@@ -3842,10 +4048,7 @@ int main(int argc, char ** argv) {
         }
 
         res.set_header("Access-Control-Allow-Origin", req.get_header_value("Origin"));
-        auto body = json::parse(req.body);
-        const auto& chat_template = body.contains("tools") && ctx_server.chat_templates.template_tool_use ? *ctx_server.chat_templates.template_tool_use : *ctx_server.chat_templates.template_default;
-        json data = oaicompat_completion_params_parse(json::parse(req.body));
-
+        auto data = json::parse(req.body);
         const int id_task = ctx_server.queue_tasks.get_new_id();
 
         ctx_server.queue_results.add_waiting_task_id(id_task);
@@ -3917,6 +4120,100 @@ int main(int argc, char ** argv) {
         }
     };
 
+    const auto handle_completions_oai = [&ctx_server, &res_error](const httplib::Request& req, httplib::Response& res) {
+        if (ctx_server.params.embedding) {
+            res_error(res, format_error_response("This server does not support completions. Start it without `--embeddings`", ERROR_TYPE_NOT_SUPPORTED));
+            return;
+        }
+
+        res.set_header("Access-Control-Allow-Origin", req.get_header_value("Origin"));
+        auto body = json::parse(req.body);
+        json data = oaicompat_chat_params_parse(body);
+        const int id_task = ctx_server.queue_tasks.get_new_id();
+        const auto completion_id = gen_chatcmplid();
+        ctx_server.queue_results.add_waiting_task_id(id_task);
+        ctx_server.request_completion(id_task, -1, data, false, false);
+
+        if (!json_value(data, "stream", false)) {
+            server_task_result result = ctx_server.queue_results.recv(id_task);
+            if (!result.error && result.stop) {
+                result.oaicompat_cmpl_id = completion_id;
+                result.oaicompat = OAICOMPAT_TYPE_COMPLETION;
+                json result_oai = result.to_json_final(); 
+                res.set_content(result_oai.dump(-1, ' ', false, json::error_handler_t::replace), "application/json; charset=utf-8");
+            }
+            else {
+                res_error(res, result.data);
+            }
+
+            ctx_server.queue_results.remove_waiting_task_id(id_task);
+        }
+        else {
+            const auto chunked_content_provider = [id_task, &ctx_server](size_t, httplib::DataSink& sink) {
+                while (true) {
+                    server_task_result result = ctx_server.queue_results.recv(id_task);
+                    result.oaicompat = OAICOMPAT_TYPE_COMPLETION;
+                    json result_oai;
+                    if (result.final_result) {
+                        result_oai = result.to_json_final();
+                    }
+                    else {
+                        result_oai = result.to_json_partial(); // format_final_response_oaicompat(data, result.data, completion_id);
+                    }
+                    if (!result.error) {
+                        const std::string str =
+                            "data: " +
+                            result_oai.dump(-1, ' ', false, json::error_handler_t::replace) +
+                            "\n\n";
+
+                        LOG_VERBOSE("data stream", {
+                            { "to_send", str }
+                            });
+
+                        if (!sink.write(str.c_str(), str.size())) {
+                            ctx_server.queue_results.remove_waiting_task_id(id_task);
+                            return false;
+                        }
+
+                        if (result.stop) {
+                            break;
+                        }
+                    }
+                    else {
+                        const std::string str =
+                            "error: " +
+                            result_oai.dump(-1, ' ', false, json::error_handler_t::replace) +
+                            "\n\n";
+
+                        LOG_VERBOSE("data stream", {
+                            { "to_send", str }
+                            });
+
+                        if (!sink.write(str.c_str(), str.size())) {
+                            ctx_server.queue_results.remove_waiting_task_id(id_task);
+                            return false;
+                        }
+
+                        break;
+                    }
+                }
+
+                ctx_server.queue_results.remove_waiting_task_id(id_task);
+                sink.done();
+
+                return true;
+            };
+
+            auto on_complete = [id_task, &ctx_server](bool) {
+                // cancel
+                ctx_server.request_cancel(id_task);
+                ctx_server.queue_results.remove_waiting_task_id(id_task);
+            };
+
+            res.set_chunked_content_provider("text/event-stream", chunked_content_provider, on_complete);
+        }
+    };
+
     const auto handle_models = [&params, &model_meta](const httplib::Request & req, httplib::Response & res) {
         res.set_header("Access-Control-Allow-Origin", req.get_header_value("Origin"));
 
@@ -3942,29 +4239,30 @@ int main(int argc, char ** argv) {
             res_error(res, format_error_response("This server does not support chat completions. Start it without `--embeddings`", ERROR_TYPE_NOT_SUPPORTED));
             return;
         }
-
         res.set_header("Access-Control-Allow-Origin", req.get_header_value("Origin"));
 
         auto body = json::parse(req.body);
-        const auto& chat_template = body.contains("tools") && ctx_server.chat_templates.template_tool_use ? *ctx_server.chat_templates.template_tool_use : *ctx_server.chat_templates.template_default;
-        json data = oaicompat_chat_completion_params_parse(ctx_server.model,body, chat_template, params.use_jinja);
-
-
+        json data = oaicompat_chat_params_parse(ctx_server.model, body, ctx_server.oai_parser_opt);
         const int id_task = ctx_server.queue_tasks.get_new_id();
 
         ctx_server.queue_results.add_waiting_task_id(id_task);
         ctx_server.request_completion(id_task, -1, data, false, false);
-
         const auto completion_id = gen_chatcmplid();
         if (!json_value(data, "stream", false)) {
             server_task_result result = ctx_server.queue_results.recv(id_task);
-
+            result.oaicompat = OAICOMPAT_TYPE_CHAT;
+            result.oaicompat_cmpl_id = completion_id;
+            json result_oai;
+            if (result.final_result) {
+                result_oai = result.to_json_final();
+            }
+            else {
+                result_oai = result.to_json_partial(); 
+            }
             if (!result.error && result.stop) {
-                json result_oai = format_final_response_oaicompat(data, result.data, completion_id);
-
                 res.set_content(result_oai.dump(-1, ' ', false, json::error_handler_t::replace), "application/json; charset=utf-8");
             } else {
-                res_error(res, result.data);
+                res_error(res, result_oai);
             }
             ctx_server.queue_results.remove_waiting_task_id(id_task);
         } else {
@@ -3973,8 +4271,16 @@ int main(int argc, char ** argv) {
                 while (true) {
                     server_task_result result = ctx_server.queue_results.recv(id_task);
                     if (!result.error) {
-                        std::vector<json> result_array = format_partial_response_oaicompat(result, completion_id);
-
+                        result.oaicompat = OAICOMPAT_TYPE_CHAT;
+                        result.oaicompat_cmpl_id = completion_id;
+                        json result_array;
+                        if (result.final_result) {
+                            result_array = result.to_json_final();
+                        }
+                        else {
+                            result_array = result.to_json_partial();
+                        }
+                        if (result_array.is_array()) {
                         for (auto it = result_array.begin(); it != result_array.end(); ++it) {
                             if (!it->empty()) {
                                 const std::string str =
@@ -3992,6 +4298,7 @@ int main(int argc, char ** argv) {
                             successful_completion = true;
                             break;
                         }
+                        }
                     } else {
                         const std::string str =
                             "error: " +
@@ -4029,6 +4336,13 @@ int main(int argc, char ** argv) {
         }
     };
 
+    // same with handle_chat_completions, but without inference part
+    const auto handle_apply_template = [&ctx_server, &params, &res_ok](const httplib::Request& req, httplib::Response& res) {
+        auto body = json::parse(req.body);
+        json data = oaicompat_chat_params_parse(ctx_server.model, body,ctx_server.oai_parser_opt);
+        res_ok(res, { { "prompt", std::move(data.at("prompt")) } });
+    };
+
     const auto handle_infill = [&ctx_server, &res_error](const httplib::Request & req, httplib::Response & res) {
         if (ctx_server.params.embedding) {
             res_error(res, format_error_response("This server does not support infill. Start it without `--embeddings`", ERROR_TYPE_NOT_SUPPORTED));
@@ -4313,8 +4627,8 @@ int main(int argc, char ** argv) {
     svr->Get ("/props",               handle_props);
     svr->Get ("/v1/models",           handle_models);
     svr->Post("/completion",          handle_completions); // legacy
-    svr->Post("/completions",         handle_completions);
-    svr->Post("/v1/completions",      handle_completions);
+    svr->Post("/completions", handle_completions_oai);
+    svr->Post("/v1/completions",     handle_completions_oai);
     svr->Post("/chat/completions",    handle_chat_completions);
     svr->Post("/v1/chat/completions", handle_chat_completions);
     svr->Post("/infill",              handle_infill);
diff --git a/examples/server/utils.hpp b/examples/server/utils.hpp
index 5911eeeb7..479eacdd5 100644
--- a/examples/server/utils.hpp
+++ b/examples/server/utils.hpp
@@ -6,11 +6,7 @@
 // Change JSON_ASSERT from assert() to GGML_ASSERT:
 #define JSON_ASSERT GGML_ASSERT
 #include "json.hpp"
-#include "minja.hpp"
-#include "chat-template.hpp"
-#include "kimi_k2_tools.hpp"
-#include "qwen3_tools.hpp"
-#include "deepseek_r1_tools.hpp"
+#include "chat.h"
 #include <string>
 #include <vector>
 #include <sstream>
@@ -31,12 +27,6 @@ enum error_type {
     ERROR_TYPE_NOT_SUPPORTED, // custom error
 };
 
-enum tool_choice_type {
-    TOOL_CHOICE_AUTO,
-    TOOL_CHOICE_REQUIRED,
-    TOOL_CHOICE_NONE,
-};
-
 extern bool server_verbose;
 extern bool server_log_json;
 
@@ -80,6 +70,32 @@ static T json_value(const json & body, const std::string & key, const T & defaul
     }
 }
 
+// thin wrapper around common_grammar_trigger with (de)serialization functions
+struct server_grammar_trigger {
+    common_grammar_trigger value;
+
+    server_grammar_trigger() = default;
+    server_grammar_trigger(const common_grammar_trigger& value) : value(value) {}
+    server_grammar_trigger(const json& in) {
+        value.type = (common_grammar_trigger_type)in.at("type").get<int>();
+        value.value = in.at("value").get<std::string>();
+        if (value.type == COMMON_GRAMMAR_TRIGGER_TYPE_TOKEN) {
+            value.token = (llama_token)in.at("token").get<int>();
+        }
+    }
+
+    json to_json() const {
+        json out{
+            {"type", (int)value.type},
+            {"value", value.value},
+        };
+        if (value.type == COMMON_GRAMMAR_TRIGGER_TYPE_TOKEN) {
+            out["token"] = (int)value.token;
+        }
+        return out;
+    }
+};
+
 static inline void server_log(const char * level, const char * function, int line, const char * message, const json & extra) {
     std::stringstream ss_tid;
     ss_tid << std::this_thread::get_id();
@@ -126,85 +142,6 @@ static inline void server_log(const char * level, const char * function, int lin
 // chat template utils
 //
 
-// Format given chat. If tmpl is empty, we take the template from model metadata
-inline std::string format_chat(const struct llama_model * model, common_chat_template tmpl, const std::vector<json> & messages, const json & tools = json::array(), const std::string & model_name = "") {
-    std::vector<llama_chat_msg> chat;
-
-    // Inject tools into the first system message, or create one if none exists
-    bool tools_injected = false;
-    
-    for (size_t i = 0; i < messages.size(); ++i) {
-        const auto & curr_msg = messages[i];
-
-        std::string role = json_value(curr_msg, "role", std::string(""));
-
-        std::string content;
-        if (curr_msg.contains("content")) {
-            if (curr_msg["content"].is_string()) {
-                content = curr_msg["content"].get<std::string>();
-            } else if (curr_msg["content"].is_array()) {
-                for (const auto & part : curr_msg["content"]) {
-                    if (part.contains("text")) {
-                        content += "\n" + part["text"].get<std::string>();
-                    }
-                }
-            } else {
-                throw std::runtime_error("Invalid 'content' type (ref: https://github.com/ggerganov/llama.cpp/issues/8367)");
-            }
-        } else {
-            throw std::runtime_error("Missing 'content' (ref: https://github.com/ggerganov/llama.cpp/issues/8367)");
-        }
-        // Inject tools into the first system message, or create one if none exists
-        // Only applies to Kimi-K2 models (checked by kimi_k2_should_inject_tools)
-        if (kimi_k2_should_inject_tools(tools, model_name) && !tools_injected) {
-            if (role == "system") {
-                // Add tools to existing system message
-                content = kimi_k2_inject_tools_to_system(content, tools);
-                tools_injected = true;
-            } else if (i == 0) {
-                // Create system message with tools if no system message exists
-                std::string tools_prompt = kimi_k2_create_system_with_tools(tools);
-                chat.push_back({"system", tools_prompt});
-                tools_injected = true;
-            }
-        }
-        
-        // Inject tools for Qwen3 models (XML Hermes format)
-        if (qwen3_should_inject_tools(tools, model_name) && !tools_injected) {
-            if (role == "system") {
-                // Add tools to existing system message
-                content = qwen3_inject_tools_to_system(content, tools);
-                tools_injected = true;
-            } else if (i == 0) {
-                // Create system message with tools if no system message exists
-                std::string tools_prompt = qwen3_create_system_with_tools(tools);
-                chat.push_back({"system", tools_prompt});
-                tools_injected = true;
-            }
-        }
-        
-        // Inject tools for DeepSeek R1 models
-        if (deepseek_r1_should_inject_tools(tools, model_name) && !tools_injected) {
-            if (role == "system") {
-                // Add tools to existing system message
-                content = deepseek_r1_inject_tools_to_system(content, tools);
-                tools_injected = true;
-            } else if (i == 0) {
-                // Create system message with tools if no system message exists
-                std::string tools_prompt = deepseek_r1_create_system_with_tools(tools);
-                chat.push_back({"system", tools_prompt});
-                tools_injected = true;
-            }
-        }
-
-        chat.push_back({role, content});
-    }
-    auto formatted_chat = llama_chat_apply_template(model, tmpl, chat, true,  /* use_jinja= */ false);
-
-    LOG_VERBOSE("formatted_chat", {{"text", formatted_chat.c_str()}});
-    return formatted_chat;
-}
-
 //
 // base64 utils (TODO: move to common in the future)
 //
@@ -296,6 +233,10 @@ static std::string gen_chatcmplid() {
     return chatcmplid.str();
 }
 
+static std::string gen_tool_call_id() {
+    return random_string();
+}
+
 //
 // other common utils
 //
@@ -314,24 +255,36 @@ static size_t common_part(const std::string & a, const std::string & b) {
     return i;
 }
 
-static bool ends_with(const std::string & str, const std::string & suffix) {
-    return str.size() >= suffix.size() && 0 == str.compare(str.size() - suffix.size(), suffix.size(), suffix);
-}
-
-static size_t find_partial_stop_string(const std::string &stop, const std::string &text) {
-    if (!text.empty() && !stop.empty()) {
-        const char text_last_char = text.back();
-        for (int64_t char_index = stop.size() - 1; char_index >= 0; char_index--) {
-            if (stop[char_index] == text_last_char) {
-                const std::string current_partial = stop.substr(0, char_index + 1);
-                if (ends_with(text, current_partial)) {
-                    return text.size() - char_index - 1;
+// return the last index of character that can form a valid string
+// if the last character is potentially cut in half, return the index before the cut
+// if validate_utf8(text) == text.size(), then the whole text is valid utf8
+static size_t validate_utf8(const std::string& text) {
+    size_t len = text.size();
+    if (len == 0) return 0;
+
+    // Check the last few bytes to see if a multi-byte character is cut off
+    for (size_t i = 1; i <= 4 && i <= len; ++i) {
+        unsigned char c = text[len - i];
+        // Check for start of a multi-byte sequence from the end
+        if ((c & 0xE0) == 0xC0) {
+            // 2-byte character start: 110xxxxx
+            // Needs at least 2 bytes
+            if (i < 2) return len - i;
                 }
+        else if ((c & 0xF0) == 0xE0) {
+            // 3-byte character start: 1110xxxx
+            // Needs at least 3 bytes
+            if (i < 3) return len - i;
             }
+        else if ((c & 0xF8) == 0xF0) {
+            // 4-byte character start: 11110xxx
+            // Needs at least 4 bytes
+            if (i < 4) return len - i;
         }
     }
 
-    return std::string::npos;
+    // If no cut-off multi-byte character is found, return full length
+    return len;
 }
 
 // TODO: reuse llama_detokenize
@@ -364,13 +317,68 @@ static std::string tokens_to_output_formatted_string(const llama_context * ctx,
 struct completion_token_output {
     llama_token tok;
     std::string text_to_send;
+    float prob;
 
-    struct token_prob {
+    struct prob_info {
         llama_token tok;
+        std::string txt;
         float prob;
     };
+    std::vector<prob_info> probs;
+
+    json to_json(bool post_sampling_probs) const {
+        json probs_for_token = json::array();
+        for (const auto& p : probs) {
+            std::string txt(p.txt);
+            txt.resize(validate_utf8(txt));
+            probs_for_token.push_back(json{
+                {"id",      p.tok},
+                {"token",   txt},
+                {"bytes",   str_to_bytes(p.txt)},
+                {
+                    post_sampling_probs ? "prob" : "logprob",
+                    post_sampling_probs ? p.prob : logarithm(p.prob)
+                },
+                });
+        }
+        return probs_for_token;
+    }
+
+    static float logarithm(float x) {
+        // nlohmann::json converts -inf to null, so we need to prevent that
+        return x == 0.0f ? std::numeric_limits<float>::lowest() : std::log(x);
+    }
+
+    static std::vector<unsigned char> str_to_bytes(const std::string& str) {
+        std::vector<unsigned char> bytes;
+        for (unsigned char c : str) {
+            bytes.push_back(c);
+        }
+        return bytes;
+    }
+
 
-    std::vector<token_prob> probs;
+    static json probs_vector_to_json(const std::vector<completion_token_output>& probs, bool post_sampling_probs) {
+        json out = json::array();
+        for (const auto& p : probs) {
+            std::string txt(p.text_to_send);
+            txt.resize(validate_utf8(txt));
+            out.push_back(json{
+                {"id",           p.tok},
+                {"token",        txt},
+                {"bytes",        str_to_bytes(p.text_to_send)},
+                {
+                    post_sampling_probs ? "prob" : "logprob",
+                    post_sampling_probs ? p.prob : logarithm(p.prob)
+                },
+                {
+                    post_sampling_probs ? "top_probs" : "top_logprobs",
+                    p.to_json(post_sampling_probs)
+                },
+                });
+        }
+        return out;
+    }
 };
 
 // convert a vector of completion_token_output to json
@@ -398,33 +406,12 @@ static json probs_vector_to_json(const llama_context * ctx, const std::vector<co
     return out;
 }
 
-//
-// Function calling support
-//
-#include "function_calls.hpp"
-
-//
-// tool_choice utils
-//
-
-static tool_choice_type tool_choice_parse_oaicompat(const std::string & tool_choice) {
-    if (tool_choice == "auto") {
-        return TOOL_CHOICE_AUTO;
-    }
-    if (tool_choice == "none") {
-        return TOOL_CHOICE_NONE;
-    }
-    if (tool_choice == "required") {
-        return TOOL_CHOICE_REQUIRED;
-    }
-    throw std::runtime_error("Invalid tool_choice: " + tool_choice);
-}
 
 //
 // OAI utils
 //
-
-static json oaicompat_completion_params_parse(const json& body) {
+// used by /completions endpoint
+static json oaicompat_chat_params_parse(const json& body) {
     json llama_params;
 
     if (!body.contains("prompt")) {
@@ -445,8 +432,13 @@ static json oaicompat_completion_params_parse(const json& body) {
         throw std::runtime_error("Only one completion choice is allowed");
     }
 
+    // Handle "echo" field
+    if (json_value(body, "echo", false)) {
+        throw std::runtime_error("Only no echo is supported");
+    }
+
     // Params supported by OAI but unsupported by llama.cpp
-    static const std::vector<std::string> unsupported_params{ "best_of", "echo", "suffix" };
+    static const std::vector<std::string> unsupported_params{ "best_of", "suffix" };
     for (const auto& param : unsupported_params) {
         if (body.contains(param)) {
             throw std::runtime_error("Unsupported param: " + param);
@@ -464,59 +456,144 @@ static json oaicompat_completion_params_parse(const json& body) {
     return llama_params;
 }
 
-static json oaicompat_chat_completion_params_parse(
-    const struct llama_model * model,
-    const json & body, /* openai api json semantics */
-    const common_chat_template& tmpl,
-    bool use_jinja) {
+struct oaicompat_parser_options {
+    bool use_jinja;
+    bool prefill_assistant;
+    common_reasoning_format reasoning_format;
+    std::map<std::string, std::string> chat_template_kwargs;
+    common_chat_templates* tmpls;
+    bool allow_image;
+    bool allow_audio;
+    bool enable_thinking = true;
+};
+
+// used by /chat/completions endpoint
+static json oaicompat_chat_params_parse(
+    const struct llama_model* model,
+    const json& body, /* openai api json semantics */
+    const oaicompat_parser_options& opt)
+{
     json llama_params;
 
     llama_params["__oaicompat"] = true;
     auto tools = json_value(body, "tools", json());
     auto has_tools = tools.is_array() && !tools.empty();
+    auto stream = json_value(body, "stream", false);
+    auto tool_choice = json_value(body, "tool_choice", std::string("auto"));
 
-    if (has_tools) {
-        if (use_jinja) {
-            fprintf(stdout,"tools param is not fully supported yet\n");
-    // Extract tools from the request body
-    json tools = json_value(body, "tools", json::array());
-    
+ /*   if (tools.is_array() && !tools.empty()) {
+        if (stream) {
+            throw std::runtime_error("Cannot use tools with stream");
         }
-    // Debug: Log system prompt when tools are detected
-        else {
+        if (!use_jinja) {
             throw std::runtime_error("tools param requires --jinja flag");
         }
     }
+    if (!use_jinja) {
+        if (body.contains("tool_choice") && !body.at("tool_choice").is_null()) {
+            throw std::runtime_error("Unsupported param: tool_choice");
+        }
+    }*/
 
-    // Extract model name from the request body
-    std::string model_name = json_value(body, "model", std::string(DEFAULT_OAICOMPAT_MODEL));
-
-    // Apply chat template to the list of messages with tools
-    llama_params["prompt"] = format_chat(model, tmpl, body.at("messages"), tools, model_name);
-
+    if (!opt.use_jinja) {
+        if (has_tools) {
+            throw std::runtime_error("tools param requires --jinja flag");
+        }
+        if (tool_choice != "auto") {
+            throw std::runtime_error("tool_choice param requires --jinja flag");
+        }
+    }
     // Handle "stop" field
     if (body.contains("stop") && body.at("stop").is_string()) {
-        llama_params["stop"] = json::array({body.at("stop").get<std::string>()});
-    } else {
+        llama_params["stop"] = json::array({ body.at("stop").get<std::string>() });
+    }
+    else {
         llama_params["stop"] = json_value(body, "stop", json::array());
     }
 
+    auto json_schema = json_value(body, "json_schema", json());
+    auto grammar = json_value(body, "grammar", std::string());
+    if (!json_schema.is_null() && !grammar.empty()) {
+        throw std::runtime_error("Cannot use both json_schema and grammar");
+    }
+
     // Handle "response_format" field
     if (body.contains("response_format")) {
-        json response_format      = json_value(body, "response_format", json::object());
+        json response_format = json_value(body, "response_format", json::object());
         std::string response_type = json_value(response_format, "type", std::string());
         if (response_type == "json_object") {
-            llama_params["json_schema"] = json_value(response_format, "schema", json::object());
-        } else if (!response_type.empty() && response_type != "text") {
-            throw std::runtime_error("response_format type must be one of \"text\" or \"json_object\", but got: " + response_type);
+            json_schema = json_value(response_format, "schema", json::object());
         }
+        else if (response_type == "json_schema") {
+            auto schema_wrapper = json_value(response_format, "json_schema", json::object());
+            json_schema = json_value(schema_wrapper, "schema", json::object());
+        }
+        else if (!response_type.empty() && response_type != "text") {
+            json_schema = json_value(json_schema, "schema", json::object());
+        }
+    }
+    common_chat_templates_inputs inputs;
+    inputs.messages = common_chat_msgs_parse_oaicompat(body.at("messages"));
+    inputs.tools = common_chat_tools_parse_oaicompat(tools);
+    inputs.tool_choice = common_chat_tool_choice_parse_oaicompat(tool_choice);
+    inputs.json_schema = json_schema.is_null() ? "" : json_schema.dump();
+    inputs.grammar = grammar;
+    inputs.use_jinja = opt.use_jinja;
+    inputs.parallel_tool_calls = json_value(body, "parallel_tool_calls", false);
+    inputs.add_generation_prompt = json_value(body, "add_generation_prompt", true);
+    inputs.reasoning_format = opt.reasoning_format;
+    inputs.enable_thinking = opt.enable_thinking;
+    if (!inputs.tools.empty() && inputs.tool_choice != COMMON_CHAT_TOOL_CHOICE_NONE) {
+        if (body.contains("grammar")) {
+            throw std::runtime_error("Cannot use custom grammar constraints with tools.");
+        }
+        llama_params["parse_tool_calls"] = true;
+    }
+
+    // merge the template args provided from command line with the args provided in the user request
+    auto chat_template_kwargs_object = json_value(body, "chat_template_kwargs", json::object());
+    inputs.chat_template_kwargs = opt.chat_template_kwargs;
+    for (const auto& item : chat_template_kwargs_object.items()) {
+        inputs.chat_template_kwargs[item.key()] = item.value().dump();
     }
+
+    /*"whether to prefill the assistant's response if the last message is an assistant message (default: prefill enabled)\n"
+        "when this flag is set, if the last message is an assistant message then it will be treated as a full message and not prefilled\n"*/
+    bool prefill_assistant_message = !inputs.messages.empty() && inputs.messages.back().role == "assistant" &&opt.prefill_assistant;
+    common_chat_msg last_message;
+    if (prefill_assistant_message) {
+        last_message = inputs.messages.back();
+        inputs.messages.pop_back();
+
+        /* sanity check, max one assistant message at the end of the list */
+        if (!inputs.messages.empty() && inputs.messages.back().role == "assistant") {
+            throw std::runtime_error("Cannot have 2 or more assistant messages at the end of the list.");
+        }
+
+        /* TODO: test this properly */
+        inputs.reasoning_format = COMMON_REASONING_FORMAT_NONE;
+        if ((!inputs.enable_thinking) || inputs.chat_template_kwargs.find("enable_thinking") != inputs.chat_template_kwargs.end()) {
+            throw std::runtime_error("Assistant response prefill is incompatible with enable_thinking.");
+        }
+        inputs.add_generation_prompt = true;
+    }
+
     // Apply chat template to the list of messages
-    if (use_jinja) {
-        llama_params["prompt"] = tmpl.apply(body.at("messages"), tools, /* add_generation_prompt= */ true);
+    auto chat_params = common_chat_templates_apply(opt.tmpls, inputs);
+
+    llama_params["chat_format"] = static_cast<int>(chat_params.format);
+    llama_params["prompt"] = chat_params.prompt;
+    llama_params["grammar"] = chat_params.grammar;
+    llama_params["grammar_lazy"] = chat_params.grammar_lazy;
+    auto grammar_triggers = json::array();
+    for (const auto& trigger : chat_params.grammar_triggers) {
+        grammar_triggers.push_back(trigger.to_json<json>());
     }
-    else {
-        llama_params["prompt"] = format_chat(model, tmpl, body.at("messages"));
+    llama_params["grammar_triggers"] = grammar_triggers;
+    llama_params["preserved_tokens"] = chat_params.preserved_tokens;
+    llama_params["thinking_forced_open"] = chat_params.thinking_forced_open;
+    for (const auto& stop : chat_params.additional_stops) {
+        llama_params["stop"].push_back(stop);
     }
 
     // Handle "n" field
@@ -528,31 +605,20 @@ static json oaicompat_chat_completion_params_parse(
     // Handle "logprobs" field
     // TODO: The response format of this option is not yet OAI-compatible, but seems like no one really using it; We may need to fix it in the future
     if (body.contains("logprobs")) {
+        if (has_tools && stream) {
+            throw std::runtime_error("logprobs is not supported with tools + stream");
+        }
         llama_params["n_probs"] = json_value(body, "top_logprobs", 20);
-    } else if (body.contains("top_logprobs")) {
+    }
+    else if (body.contains("top_logprobs")) {
         throw std::runtime_error("top_logprobs requires logprobs to be set to true");
     }
 
-    // Handle tool_choice parameter
-    if (body.contains("tool_choice")) {
-        auto tool_choice_str = json_value(body, "tool_choice", std::string("auto"));
-        auto tool_choice = tool_choice_parse_oaicompat(tool_choice_str);
-        llama_params["tool_choice"] = static_cast<int>(tool_choice);
-    }
-
-    // Accept tools and tool_choice parameters for function calling support
-    // Other unsupported params still rejected
-    static const std::vector<std::string> unsupported_params {  };
-    for (auto & param : unsupported_params) {
-        if (body.contains(param)) {
-            throw std::runtime_error("Unsupported param: " + param);
-        }
-    }
 
     // Copy remaining properties to llama_params
     // This allows user to use llama.cpp-specific params like "mirostat", "tfs_z",... via OAI endpoint.
     // See "launch_slot_with_task()" for a complete list of params supported by llama.cpp
-    for (const auto & item : body.items()) {
+    for (const auto& item : body.items()) {
         // Exception: if "n_predict" is present, we overwrite the value specified earlier by "max_tokens"
         if (!llama_params.contains(item.key()) || item.key() == "n_predict") {
             llama_params[item.key()] = item.value();
@@ -562,6 +628,28 @@ static json oaicompat_chat_completion_params_parse(
     return llama_params;
 }
 
+// get value by path(key1 / key2)
+static json json_get_nested_values(const std::vector<std::string>& paths, const json& js) {
+    json result = json::object();
+
+    for (const std::string& path : paths) {
+        json current = js;
+        const auto keys = string_split<std::string>(path, /*separator*/ '/');
+        bool valid_path = true;
+        for (const std::string& k : keys) {
+            if (valid_path && current.is_object() && current.contains(k)) {
+                current = current[k];
+            }
+            else {
+                valid_path = false;
+            }
+        }
+        if (valid_path) {
+            result[path] = current;
+        }
+    }
+    return result;
+}
 
 
 static json format_tokenizer_response(const std::vector<llama_token> & tokens) {
diff --git a/examples/server/webui/dist/index.html b/examples/server/webui/dist/index.html
index 6767625b7..b65376174 100644
--- a/examples/server/webui/dist/index.html
+++ b/examples/server/webui/dist/index.html
@@ -16,7 +16,7 @@
  *
  * This source code is licensed under the MIT license found in the
  * LICENSE file in the root directory of this source tree.
- */var w1;function L5(){if(w1)return bn;w1=1;var e=Symbol.for("react.element"),t=Symbol.for("react.portal"),n=Symbol.for("react.fragment"),r=Symbol.for("react.strict_mode"),a=Symbol.for("react.profiler"),l=Symbol.for("react.provider"),s=Symbol.for("react.context"),c=Symbol.for("react.forward_ref"),f=Symbol.for("react.suspense"),d=Symbol.for("react.memo"),m=Symbol.for("react.lazy"),g=Symbol.iterator;function w(ee){return ee===null||typeof ee!="object"?null:(ee=g&&ee[g]||ee["@@iterator"],typeof ee=="function"?ee:null)}var b={isMounted:function(){return!1},enqueueForceUpdate:function(){},enqueueReplaceState:function(){},enqueueSetState:function(){}},_=Object.assign,T={};function D(ee,Ne,H){this.props=ee,this.context=Ne,this.refs=T,this.updater=H||b}D.prototype.isReactComponent={},D.prototype.setState=function(ee,Ne){if(typeof ee!="object"&&typeof ee!="function"&&ee!=null)throw Error("setState(...): takes an object of state variables to update or a function which returns an object of state variables.");this.updater.enqueueSetState(this,ee,Ne,"setState")},D.prototype.forceUpdate=function(ee){this.updater.enqueueForceUpdate(this,ee,"forceUpdate")};function R(){}R.prototype=D.prototype;function U(ee,Ne,H){this.props=ee,this.context=Ne,this.refs=T,this.updater=H||b}var F=U.prototype=new R;F.constructor=U,_(F,D.prototype),F.isPureReactComponent=!0;var oe=Array.isArray,ie=Object.prototype.hasOwnProperty,K={current:null},we={key:!0,ref:!0,__self:!0,__source:!0};function Oe(ee,Ne,H){var He,yt={},vt=null,xe=null;if(Ne!=null)for(He in Ne.ref!==void 0&&(xe=Ne.ref),Ne.key!==void 0&&(vt=""+Ne.key),Ne)ie.call(Ne,He)&&!we.hasOwnProperty(He)&&(yt[He]=Ne[He]);var ve=arguments.length-2;if(ve===1)yt.children=H;else if(1<ve){for(var le=Array(ve),ze=0;ze<ve;ze++)le[ze]=arguments[ze+2];yt.children=le}if(ee&&ee.defaultProps)for(He in ve=ee.defaultProps,ve)yt[He]===void 0&&(yt[He]=ve[He]);return{$$typeof:e,type:ee,key:vt,ref:xe,props:yt,_owner:K.current}}function V(ee,Ne){return{$$typeof:e,type:ee.type,key:Ne,ref:ee.ref,props:ee.props,_owner:ee._owner}}function C(ee){return typeof ee=="object"&&ee!==null&&ee.$$typeof===e}function ne(ee){var Ne={"=":"=0",":":"=2"};return"$"+ee.replace(/[=:]/g,function(H){return Ne[H]})}var G=/\/+/g;function De(ee,Ne){return typeof ee=="object"&&ee!==null&&ee.key!=null?ne(""+ee.key):Ne.toString(36)}function Ee(ee,Ne,H,He,yt){var vt=typeof ee;(vt==="undefined"||vt==="boolean")&&(ee=null);var xe=!1;if(ee===null)xe=!0;else switch(vt){case"string":case"number":xe=!0;break;case"object":switch(ee.$$typeof){case e:case t:xe=!0}}if(xe)return xe=ee,yt=yt(xe),ee=He===""?"."+De(xe,0):He,oe(yt)?(H="",ee!=null&&(H=ee.replace(G,"$&/")+"/"),Ee(yt,Ne,H,"",function(ze){return ze})):yt!=null&&(C(yt)&&(yt=V(yt,H+(!yt.key||xe&&xe.key===yt.key?"":(""+yt.key).replace(G,"$&/")+"/")+ee)),Ne.push(yt)),1;if(xe=0,He=He===""?".":He+":",oe(ee))for(var ve=0;ve<ee.length;ve++){vt=ee[ve];var le=He+De(vt,ve);xe+=Ee(vt,Ne,H,le,yt)}else if(le=w(ee),typeof le=="function")for(ee=le.call(ee),ve=0;!(vt=ee.next()).done;)vt=vt.value,le=He+De(vt,ve++),xe+=Ee(vt,Ne,H,le,yt);else if(vt==="object")throw Ne=String(ee),Error("Objects are not valid as a React child (found: "+(Ne==="[object Object]"?"object with keys {"+Object.keys(ee).join(", ")+"}":Ne)+"). 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Current database name is ".concat(e.name," but export is ").concat(f.databaseName));if(!n.acceptVersionDiff&&e.verno!==f.databaseVersion)throw new Error("Database version differs. Current database is in version ".concat(e.verno," but export is ").concat(f.databaseVersion));if(m=n.progressCallback,g={done:!1,completedRows:0,completedTables:0,totalRows:f.tables.reduce(function(D,R){return D+R.rowCount},0),totalTables:f.tables.length},m&&Lr.ignoreTransaction(function(){return m(g)}),!n.clearTablesBeforeImport)return[3,5];w=0,b=e.tables,T.label=2;case 2:return w<b.length?(_=b[w],d.includes(_.name)?[3,4]:[4,_.clear()]):[3,5];case 3:T.sent(),T.label=4;case 4:return w++,[3,2];case 5:return n.noTransaction?[4,r()]:[3,7];case 6:return T.sent(),[3,9];case 7:return[4,e.transaction("rw",e.tables,r)];case 8:T.sent(),T.label=9;case 9:return g.done=!0,m&&Lr.ignoreTransaction(function(){return m(g)}),[2]}})})}function o4(e,t){return zo(this,void 0,void 0,function(){var n,r;return aa(this,function(a){switch(a.label){case 0:n="slice"in e?G3(e):e,a.label=1;case 1:return n.eof()?[3,3]:[4,n.pullAsync(t)];case 2:return a.sent(),n.result.data&&n.result.data.data?[3,3]:[3,1];case 3:if(r=n.result,!r||r.formatName!="dexie")throw new Error("Given file is not a dexie export");if(r.formatVersion>H3)throw new Error("Format version ".concat(r.formatVersion," not supported"));if(!r.data)throw new Error("No data in export file");if(!r.data.databaseName)throw new Error("Missing databaseName in export file");if(!r.data.databaseVersion)throw new Error("Missing databaseVersion in export file");if(!r.data.tables)throw new Error("Missing tables in export file");return[2,n]}})})}Lr.prototype.export=function(e){return r4(this,e)};Lr.prototype.import=function(e,t){return a4(this,e,t)};Lr.import=function(e,t){return Y3(e,t)};const yh=new EventTarget;let kd=[];const jc=e=>{yh.dispatchEvent(new CustomEvent("conversationChange",{detail:{convId:e}}))},vn=new Lr("LlamacppWebui");vn.version(1).stores({conversations:"&id, lastModified",messages:"&id, convId, [convId+id], timestamp"});const Zt={async exportDB(){return await r4(vn)},async importDB(e){return await vn.delete(),await vn.open(),await vn.import(e)},async updateConversationName(e,t){await vn.conversations.update(e,{name:t}),jc(e)},async getAllConversations(){return await X3().catch(console.error),(await vn.conversations.toArray()).sort((e,t)=>t.lastModified-e.lastModified)},async getOneConversation(e){return await vn.conversations.where("id").equals(e).first()??null},async getMessages(e){return await vn.messages.where({convId:e}).toArray()},filterByLeafNodeId(e,t,n){const r=[],a=new Map;for(const c of e)a.set(c.id,c);let l=a.get(t);if(!l){let c=-1;for(const f of e)f.timestamp>c&&(l=f,c=f.timestamp)}let s=l;for(;s;)(s.type!=="root"||s.type==="root"&&n)&&r.push(s),s=a.get(s.parent??-1);return r.sort((c,f)=>c.timestamp-f.timestamp),r},async createConversation(e){const t=Date.now(),n=t,r={id:`conv-${t}`,lastModified:t,currNode:n,name:e};return await vn.conversations.add(r),await vn.messages.add({id:n,convId:r.id,type:"root",timestamp:t,role:"system",content:"",parent:-1,children:[]}),r},async appendMsg(e,t){if(e.content===null)return;const{convId:n}=e;await vn.transaction("rw",vn.conversations,vn.messages,async()=>{const r=await Zt.getOneConversation(n),a=await vn.messages.where({convId:n,id:t}).first();if(!r)throw new Error(`Conversation ${n} does not exist`);if(!a)throw new Error(`Parent message ID ${t} does not exist in conversation ${n}`);await vn.conversations.update(n,{lastModified:Date.now(),currNode:e.id}),await vn.messages.update(t,{children:[...a.children,e.id]}),await vn.messages.add({...e,parent:t,children:[]})}),jc(n)},async remove(e){await vn.transaction("rw",vn.conversations,vn.messages,async()=>{await vn.conversations.delete(e),await vn.messages.where({convId:e}).delete()}),jc(e)},onConversationChanged(e){const t=n=>e(n.detail.convId);kd.push([e,t]),yh.addEventListener("conversationChange",t)},offConversationChanged(e){const t=kd.find(([n,r])=>n===e);t&&yh.removeEventListener("conversationChange",t[1]),kd=[]},getConfig(){const e=JSON.parse(localStorage.getItem("config")||"{}");return{...Do,...e}},setConfig(e){localStorage.setItem("config",JSON.stringify(e))},getTheme(){return localStorage.getItem("theme")||"auto"},setTheme(e){e==="auto"?localStorage.removeItem("theme"):localStorage.setItem("theme",e)},async importConversation(e){var g;const{conv:t,messages:n}=e;let r=t.id;await Zt.getOneConversation(r)&&(r=`conv-${Date.now()}`);const l=new Map,s=Date.now();n.forEach((w,b)=>{l.set(w.id,s+b)});const c=n.map(w=>({...w})),f=c.find(w=>w.type==="root");let d=!1;f&&(d=confirm(`This conversation contains a system prompt:
 
 "${f.content.slice(0,100)}${f.content.length>100?"...":""}"
 
@@ -271,20 +271,20 @@
   > * {
     pointer-events: auto;
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b===62?(e.exit("autolinkProtocol"),e.enter("autolinkMarker"),e.consume(b),e.exit("autolinkMarker"),e.exit("autolink"),t):b===null||b===32||b===60||y0(b)?n(b):(e.consume(b),f)}function d(b){return b===64?(e.consume(b),m):f8(b)?(e.consume(b),d):n(b)}function m(b){return Xr(b)?g(b):n(b)}function g(b){return b===46?(e.consume(b),r=0,m):b===62?(e.exit("autolinkProtocol").type="autolinkEmail",e.enter("autolinkMarker"),e.consume(b),e.exit("autolinkMarker"),e.exit("autolink"),t):w(b)}function w(b){if((b===45||Xr(b))&&r++<63){const _=b===45?w:g;return e.consume(b),_}return n(b)}}const Ou={partial:!0,tokenize:E8};function E8(e,t,n){return r;function r(l){return kn(l)?wn(e,a,"linePrefix")(l):a(l)}function a(l){return l===null||jt(l)?t(l):n(l)}}const I4={continuation:{tokenize:_8},exit:N8,name:"blockQuote",tokenize:S8};function S8(e,t,n){const r=this;return a;function a(s){if(s===62){const c=r.containerState;return 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a=0,l,s;return c;function c(g){return e.enter("characterReference"),e.enter("characterReferenceMarker"),e.consume(g),e.exit("characterReferenceMarker"),f}function f(g){return g===35?(e.enter("characterReferenceMarkerNumeric"),e.consume(g),e.exit("characterReferenceMarkerNumeric"),d):(e.enter("characterReferenceValue"),l=31,s=Xr,m(g))}function d(g){return g===88||g===120?(e.enter("characterReferenceMarkerHexadecimal"),e.consume(g),e.exit("characterReferenceMarkerHexadecimal"),e.enter("characterReferenceValue"),l=6,s=d8,m):(e.enter("characterReferenceValue"),l=7,s=Sh,m(g))}function m(g){if(g===59&&a){const w=e.exit("characterReferenceValue");return s===Xr&&!ip(r.sliceSerialize(w))?n(g):(e.enter("characterReferenceMarker"),e.consume(g),e.exit("characterReferenceMarker"),e.exit("characterReference"),t)}return s(g)&&a++<l?(e.consume(g),m):n(g)}}const ng={partial:!0,tokenize:O8},rg={concrete:!0,name:"codeFenced",tokenize:A8};function A8(e,t,n){const r=this,a={partial:!0,tokenize:ie};let 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_y=/^[₊₋₌₍₎₀₁₂₃₄₅₆₇₈₉ₐₑₕᵢⱼₖₗₘₙₒₚᵣₛₜᵤᵥₓᵦᵧᵨᵩᵪ]/,a0=Object.freeze({"₊":"+","₋":"-","₌":"=","₍":"(","₎":")","₀":"0","₁":"1","₂":"2","₃":"3","₄":"4","₅":"5","₆":"6","₇":"7","₈":"8","₉":"9","ₐ":"a","ₑ":"e","ₕ":"h","ᵢ":"i","ⱼ":"j","ₖ":"k","ₗ":"l","ₘ":"m","ₙ":"n","ₒ":"o","ₚ":"p","ᵣ":"r","ₛ":"s","ₜ":"t","ᵤ":"u","ᵥ":"v","ₓ":"x","ᵦ":"β","ᵧ":"γ","ᵨ":"ρ","ᵩ":"ϕ","ᵪ":"χ","⁺":"+","⁻":"-","⁼":"=","⁽":"(","⁾":")","⁰":"0","¹":"1","²":"2","³":"3","⁴":"4","⁵":"5","⁶":"6","⁷":"7","⁸":"8","⁹":"9","ᴬ":"A","ᴮ":"B","ᴰ":"D","ᴱ":"E","ᴳ":"G","ᴴ":"H","ᴵ":"I","ᴶ":"J","ᴷ":"K","ᴸ":"L","ᴹ":"M","ᴺ":"N","ᴼ":"O","ᴾ":"P","ᴿ":"R","ᵀ":"T","ᵁ":"U","ⱽ":"V","ᵂ":"W","ᵃ":"a","ᵇ":"b","ᶜ":"c","ᵈ":"d","ᵉ":"e","ᶠ":"f","ᵍ":"g",ʰ:"h","ⁱ":"i",ʲ:"j","ᵏ":"k",ˡ:"l","ᵐ":"m",ⁿ:"n","ᵒ":"o","ᵖ":"p",ʳ:"r",ˢ:"s","ᵗ":"t","ᵘ":"u","ᵛ":"v",ʷ:"w",ˣ:"x",ʸ:"y","ᶻ":"z","ᵝ":"β","ᵞ":"γ","ᵟ":"δ","ᵠ":"ϕ","ᵡ":"χ","ᶿ":"θ"}),oh={"́":{text:"\\'",math:"\\acute"},"̀":{text:"\\`",math:"\\grave"},"̈":{text:'\\"',math:"\\ddot"},"̃":{text:"\\~",math:"\\tilde"},"̄":{text:"\\=",math:"\\bar"},"̆":{text:"\\u",math:"\\breve"},"̌":{text:"\\v",math:"\\check"},"̂":{text:"\\^",math:"\\hat"},"̇":{text:"\\.",math:"\\dot"},"̊":{text:"\\r",math:"\\mathring"},"̋":{text:"\\H"},"̧":{text:"\\c"}},Ny={á:"á",à:"à",ä:"ä",ǟ:"ǟ",ã:"ã",ā:"ā",ă:"ă",ắ:"ắ",ằ:"ằ",ẵ:"ẵ",ǎ:"ǎ",â:"â",ấ:"ấ",ầ:"ầ",ẫ:"ẫ",ȧ:"ȧ",ǡ:"ǡ",å:"å",ǻ:"ǻ",ḃ:"ḃ",ć:"ć",ḉ:"ḉ",č:"č",ĉ:"ĉ",ċ:"ċ",ç:"ç",ď:"ď",ḋ:"ḋ",ḑ:"ḑ",é:"é",è:"è",ë:"ë",ẽ:"ẽ",ē:"ē",ḗ:"ḗ",ḕ:"ḕ",ĕ:"ĕ",ḝ:"ḝ",ě:"ě",ê:"ê",ế:"ế",ề:"ề",ễ:"ễ",ė:"ė",ȩ:"ȩ",ḟ:"ḟ",ǵ:"ǵ",ḡ:"ḡ",ğ:"ğ",ǧ:"ǧ",ĝ:"ĝ",ġ:"ġ",ģ:"ģ",ḧ:"ḧ",ȟ:"ȟ",ĥ:"ĥ",ḣ:"ḣ",ḩ:"ḩ",í:"í",ì:"ì",ï:"ï",ḯ:"ḯ",ĩ:"ĩ",ī:"ī",ĭ:"ĭ",ǐ:"ǐ",î:"î",ǰ:"ǰ",ĵ:"ĵ",ḱ:"ḱ",ǩ:"ǩ",ķ:"ķ",ĺ:"ĺ",ľ:"ľ",ļ:"ļ",ḿ:"ḿ",ṁ:"ṁ",ń:"ń",ǹ:"ǹ",ñ:"ñ",ň:"ň",ṅ:"ṅ",ņ:"ņ",ó:"ó",ò:"ò",ö:"ö",ȫ:"ȫ",õ:"õ",ṍ:"ṍ",ṏ:"ṏ",ȭ:"ȭ",ō:"ō",ṓ:"ṓ",ṑ:"ṑ",ŏ:"ŏ",ǒ:"ǒ",ô:"ô",ố:"ố",ồ:"ồ",ỗ:"ỗ",ȯ:"ȯ",ȱ:"ȱ",ő:"ő",ṕ:"ṕ",ṗ:"ṗ",ŕ:"ŕ",ř:"ř",ṙ:"ṙ",ŗ:"ŗ",ś:"ś",ṥ:"ṥ",š:"š",ṧ:"ṧ",ŝ:"ŝ",ṡ:"ṡ",ş:"ş",ẗ:"ẗ",ť:"ť",ṫ:"ṫ",ţ:"ţ",ú:"ú",ù:"ù",ü:"ü",ǘ:"ǘ",ǜ:"ǜ",ǖ:"ǖ",ǚ:"ǚ",ũ:"ũ",ṹ:"ṹ",ū:"ū",ṻ:"ṻ",ŭ:"ŭ",ǔ:"ǔ",û:"û",ů:"ů",ű:"ű",ṽ:"ṽ",ẃ:"ẃ",ẁ:"ẁ",ẅ:"ẅ",ŵ:"ŵ",ẇ:"ẇ",ẘ:"ẘ",ẍ:"ẍ",ẋ:"ẋ",ý:"ý",ỳ:"ỳ",ÿ:"ÿ",ỹ:"ỹ",ȳ:"ȳ",ŷ:"ŷ",ẏ:"ẏ",ẙ:"ẙ",ź:"ź",ž:"ž",ẑ:"ẑ",ż:"ż",Á:"Á",À:"À",Ä:"Ä",Ǟ:"Ǟ",Ã:"Ã",Ā:"Ā",Ă:"Ă",Ắ:"Ắ",Ằ:"Ằ",Ẵ:"Ẵ",Ǎ:"Ǎ",Â:"Â",Ấ:"Ấ",Ầ:"Ầ",Ẫ:"Ẫ",Ȧ:"Ȧ",Ǡ:"Ǡ",Å:"Å",Ǻ:"Ǻ",Ḃ:"Ḃ",Ć:"Ć",Ḉ:"Ḉ",Č:"Č",Ĉ:"Ĉ",Ċ:"Ċ",Ç:"Ç",Ď:"Ď",Ḋ:"Ḋ",Ḑ:"Ḑ",É:"É",È:"È",Ë:"Ë",Ẽ:"Ẽ",Ē:"Ē",Ḗ:"Ḗ",Ḕ:"Ḕ",Ĕ:"Ĕ",Ḝ:"Ḝ",Ě:"Ě",Ê:"Ê",Ế:"Ế",Ề:"Ề",Ễ:"Ễ",Ė:"Ė",Ȩ:"Ȩ",Ḟ:"Ḟ",Ǵ:"Ǵ",Ḡ:"Ḡ",Ğ:"Ğ",Ǧ:"Ǧ",Ĝ:"Ĝ",Ġ:"Ġ",Ģ:"Ģ",Ḧ:"Ḧ",Ȟ:"Ȟ",Ĥ:"Ĥ",Ḣ:"Ḣ",Ḩ:"Ḩ",Í:"Í",Ì:"Ì",Ï:"Ï",Ḯ:"Ḯ",Ĩ:"Ĩ",Ī:"Ī",Ĭ:"Ĭ",Ǐ:"Ǐ",Î:"Î",İ:"İ",Ĵ:"Ĵ",Ḱ:"Ḱ",Ǩ:"Ǩ",Ķ:"Ķ",Ĺ:"Ĺ",Ľ:"Ľ",Ļ:"Ļ",Ḿ:"Ḿ",Ṁ:"Ṁ",Ń:"Ń",Ǹ:"Ǹ",Ñ:"Ñ",Ň:"Ň",Ṅ:"Ṅ",Ņ:"Ņ",Ó:"Ó",Ò:"Ò",Ö:"Ö",Ȫ:"Ȫ",Õ:"Õ",Ṍ:"Ṍ",Ṏ:"Ṏ",Ȭ:"Ȭ",Ō:"Ō",Ṓ:"Ṓ",Ṑ:"Ṑ",Ŏ:"Ŏ",Ǒ:"Ǒ",Ô:"Ô",Ố:"Ố",Ồ:"Ồ",Ỗ:"Ỗ",Ȯ:"Ȯ",Ȱ:"Ȱ",Ő:"Ő",Ṕ:"Ṕ",Ṗ:"Ṗ",Ŕ:"Ŕ",Ř:"Ř",Ṙ:"Ṙ",Ŗ:"Ŗ",Ś:"Ś",Ṥ:"Ṥ",Š:"Š",Ṧ:"Ṧ",Ŝ:"Ŝ",Ṡ:"Ṡ",Ş:"Ş",Ť:"Ť",Ṫ:"Ṫ",Ţ:"Ţ",Ú:"Ú",Ù:"Ù",Ü:"Ü",Ǘ:"Ǘ",Ǜ:"Ǜ",Ǖ:"Ǖ",Ǚ:"Ǚ",Ũ:"Ũ",Ṹ:"Ṹ",Ū:"Ū",Ṻ:"Ṻ",Ŭ:"Ŭ",Ǔ:"Ǔ",Û:"Û",Ů:"Ů",Ű:"Ű",Ṽ:"Ṽ",Ẃ:"Ẃ",Ẁ:"Ẁ",Ẅ:"Ẅ",Ŵ:"Ŵ",Ẇ:"Ẇ",Ẍ:"Ẍ",Ẋ:"Ẋ",Ý:"Ý",Ỳ:"Ỳ",Ÿ:"Ÿ",Ỹ:"Ỹ",Ȳ:"Ȳ",Ŷ:"Ŷ",Ẏ:"Ẏ",Ź:"Ź",Ž:"Ž",Ẑ:"Ẑ",Ż:"Ż",ά:"ά",ὰ:"ὰ",ᾱ:"ᾱ",ᾰ:"ᾰ",έ:"έ",ὲ:"ὲ",ή:"ή",ὴ:"ὴ",ί:"ί",ὶ:"ὶ",ϊ:"ϊ",ΐ:"ΐ",ῒ:"ῒ",ῑ:"ῑ",ῐ:"ῐ",ό:"ό",ὸ:"ὸ",ύ:"ύ",ὺ:"ὺ",ϋ:"ϋ",ΰ:"ΰ",ῢ:"ῢ",ῡ:"ῡ",ῠ:"ῠ",ώ:"ώ",ὼ:"ὼ",Ύ:"Ύ",Ὺ:"Ὺ",Ϋ:"Ϋ",Ῡ:"Ῡ",Ῠ:"Ῠ",Ώ:"Ώ",Ὼ:"Ὼ"};class V0{constructor(t,n){this.mode=void 0,this.gullet=void 0,this.settings=void 0,this.leftrightDepth=void 0,this.nextToken=void 0,this.mode="math",this.gullet=new PT(t,n,this.mode),this.settings=n,this.leftrightDepth=0}expect(t,n){if(n===void 0&&(n=!0),this.fetch().text!==t)throw new ct("Expected '"+t+"', got '"+this.fetch().text+"'",this.fetch());n&&this.consume()}consume(){this.nextToken=null}fetch(){return this.nextToken==null&&(this.nextToken=this.gullet.expandNextToken()),this.nextToken}switchMode(t){this.mode=t,this.gullet.switchMode(t)}parse(){this.settings.globalGroup||this.gullet.beginGroup(),this.settings.colorIsTextColor&&this.gullet.macros.set("\\color","\\textcolor");try{var t=this.parseExpression(!1);return this.expect("EOF"),this.settings.globalGroup||this.gullet.endGroup(),t}finally{this.gullet.endGroups()}}subparse(t){var n=this.nextToken;this.consume(),this.gullet.pushToken(new Vi("}")),this.gullet.pushTokens(t);var r=this.parseExpression(!1);return this.expect("}"),this.nextToken=n,r}parseExpression(t,n){for(var r=[];;){this.mode==="math"&&this.consumeSpaces();var a=this.fetch();if(V0.endOfExpression.indexOf(a.text)!==-1||n&&a.text===n||t&&Po[a.text]&&Po[a.text].infix)break;var l=this.parseAtom(n);if(l){if(l.type==="internal")continue}else break;r.push(l)}return this.mode==="text"&&this.formLigatures(r),this.handleInfixNodes(r)}handleInfixNodes(t){for(var n=-1,r,a=0;a<t.length;a++)if(t[a].type==="infix"){if(n!==-1)throw new ct("only one infix operator per group",t[a].token);n=a,r=t[a].replaceWith}if(n!==-1&&r){var l,s,c=t.slice(0,n),f=t.slice(n+1);c.length===1&&c[0].type==="ordgroup"?l=c[0]:l={type:"ordgroup",mode:this.mode,body:c},f.length===1&&f[0].type==="ordgroup"?s=f[0]:s={type:"ordgroup",mode:this.mode,body:f};var d;return r==="\\\\abovefrac"?d=this.callFunction(r,[l,t[n],s],[]):d=this.callFunction(r,[l,s],[]),[d]}else return t}handleSupSubscript(t){var n=this.fetch(),r=n.text;this.consume(),this.consumeSpaces();var a=this.parseGroup(t);if(!a)throw new ct("Expected group after '"+r+"'",n);return a}formatUnsupportedCmd(t){for(var n=[],r=0;r<t.length;r++)n.push({type:"textord",mode:"text",text:t[r]});var a={type:"text",mode:this.mode,body:n},l={type:"color",mode:this.mode,color:this.settings.errorColor,body:[a]};return l}parseAtom(t){var n=this.parseGroup("atom",t);if(this.mode==="text")return n;for(var r,a;;){this.consumeSpaces();var l=this.fetch();if(l.text==="\\limits"||l.text==="\\nolimits"){if(n&&n.type==="op"){var s=l.text==="\\limits";n.limits=s,n.alwaysHandleSupSub=!0}else if(n&&n.type==="operatorname")n.alwaysHandleSupSub&&(n.limits=l.text==="\\limits");else throw new ct("Limit controls must follow a math operator",l);this.consume()}else if(l.text==="^"){if(r)throw new ct("Double superscript",l);r=this.handleSupSubscript("superscript")}else if(l.text==="_"){if(a)throw new ct("Double subscript",l);a=this.handleSupSubscript("subscript")}else if(l.text==="'"){if(r)throw new ct("Double superscript",l);var c={type:"textord",mode:this.mode,text:"\\prime"},f=[c];for(this.consume();this.fetch().text==="'";)f.push(c),this.consume();this.fetch().text==="^"&&f.push(this.handleSupSubscript("superscript")),r={type:"ordgroup",mode:this.mode,body:f}}else if(a0[l.text]){var d=_y.test(l.text),m=[];for(m.push(new Vi(a0[l.text])),this.consume();;){var g=this.fetch().text;if(!a0[g]||_y.test(g)!==d)break;m.unshift(new Vi(a0[g])),this.consume()}var w=this.subparse(m);d?a={type:"ordgroup",mode:"math",body:w}:r={type:"ordgroup",mode:"math",body:w}}else break}return r||a?{type:"supsub",mode:this.mode,base:n,sup:r,sub:a}:n}parseFunction(t,n){var r=this.fetch(),a=r.text,l=Po[a];if(!l)return null;if(this.consume(),n&&n!=="atom"&&!l.allowedInArgument)throw new ct("Got function '"+a+"' with no arguments"+(n?" as "+n:""),r);if(this.mode==="text"&&!l.allowedInText)throw new ct("Can't use function '"+a+"' in text mode",r);if(this.mode==="math"&&l.allowedInMath===!1)throw new ct("Can't use function '"+a+"' in math mode",r);var{args:s,optArgs:c}=this.parseArguments(a,l);return this.callFunction(a,s,c,r,t)}callFunction(t,n,r,a,l){var s={funcName:t,parser:this,token:a,breakOnTokenText:l},c=Po[t];if(c&&c.handler)return c.handler(s,n,r);throw new ct("No function handler for "+t)}parseArguments(t,n){var r=n.numArgs+n.numOptionalArgs;if(r===0)return{args:[],optArgs:[]};for(var a=[],l=[],s=0;s<r;s++){var c=n.argTypes&&n.argTypes[s],f=s<n.numOptionalArgs;(n.primitive&&c==null||n.type==="sqrt"&&s===1&&l[0]==null)&&(c="primitive");var d=this.parseGroupOfType("argument to '"+t+"'",c,f);if(f)l.push(d);else if(d!=null)a.push(d);else throw new ct("Null argument, please report this as a bug")}return{args:a,optArgs:l}}parseGroupOfType(t,n,r){switch(n){case"color":return this.parseColorGroup(r);case"size":return this.parseSizeGroup(r);case"url":return this.parseUrlGroup(r);case"math":case"text":return this.parseArgumentGroup(r,n);case"hbox":{var a=this.parseArgumentGroup(r,"text");return a!=null?{type:"styling",mode:a.mode,body:[a],style:"text"}:null}case"raw":{var l=this.parseStringGroup("raw",r);return l!=null?{type:"raw",mode:"text",string:l.text}:null}case"primitive":{if(r)throw new ct("A primitive argument cannot be optional");var s=this.parseGroup(t);if(s==null)throw new ct("Expected group as "+t,this.fetch());return s}case"original":case null:case void 0:return this.parseArgumentGroup(r);default:throw new ct("Unknown group type as "+t,this.fetch())}}consumeSpaces(){for(;this.fetch().text===" ";)this.consume()}parseStringGroup(t,n){var r=this.gullet.scanArgument(n);if(r==null)return null;for(var a="",l;(l=this.fetch()).text!=="EOF";)a+=l.text,this.consume();return this.consume(),r.text=a,r}parseRegexGroup(t,n){for(var r=this.fetch(),a=r,l="",s;(s=this.fetch()).text!=="EOF"&&t.test(l+s.text);)a=s,l+=a.text,this.consume();if(l==="")throw new ct("Invalid "+n+": '"+r.text+"'",r);return r.range(a,l)}parseColorGroup(t){var n=this.parseStringGroup("color",t);if(n==null)return null;var r=/^(#[a-f0-9]{3}|#?[a-f0-9]{6}|[a-z]+)$/i.exec(n.text);if(!r)throw new ct("Invalid color: '"+n.text+"'",n);var a=r[0];return/^[0-9a-f]{6}$/i.test(a)&&(a="#"+a),{type:"color-token",mode:this.mode,color:a}}parseSizeGroup(t){var n,r=!1;if(this.gullet.consumeSpaces(),!t&&this.gullet.future().text!=="{"?n=this.parseRegexGroup(/^[-+]? *(?:$|\d+|\d+\.\d*|\.\d*) *[a-z]{0,2} *$/,"size"):n=this.parseStringGroup("size",t),!n)return null;!t&&n.text.length===0&&(n.text="0pt",r=!0);var a=/([-+]?) *(\d+(?:\.\d*)?|\.\d+) *([a-z]{2})/.exec(n.text);if(!a)throw new ct("Invalid size: '"+n.text+"'",n);var l={number:+(a[1]+a[2]),unit:a[3]};if(!Y2(l))throw new ct("Invalid unit: '"+l.unit+"'",n);return{type:"size",mode:this.mode,value:l,isBlank:r}}parseUrlGroup(t){this.gullet.lexer.setCatcode("%",13),this.gullet.lexer.setCatcode("~",12);var n=this.parseStringGroup("url",t);if(this.gullet.lexer.setCatcode("%",14),this.gullet.lexer.setCatcode("~",13),n==null)return null;var r=n.text.replace(/\\([#$%&~_^{}])/g,"$1");return{type:"url",mode:this.mode,url:r}}parseArgumentGroup(t,n){var r=this.gullet.scanArgument(t);if(r==null)return null;var a=this.mode;n&&this.switchMode(n),this.gullet.beginGroup();var l=this.parseExpression(!1,"EOF");this.expect("EOF"),this.gullet.endGroup();var s={type:"ordgroup",mode:this.mode,loc:r.loc,body:l};return n&&this.switchMode(a),s}parseGroup(t,n){var r=this.fetch(),a=r.text,l;if(a==="{"||a==="\\begingroup"){this.consume();var s=a==="{"?"}":"\\endgroup";this.gullet.beginGroup();var c=this.parseExpression(!1,s),f=this.fetch();this.expect(s),this.gullet.endGroup(),l={type:"ordgroup",mode:this.mode,loc:Ci.range(r,f),body:c,semisimple:a==="\\begingroup"||void 0}}else if(l=this.parseFunction(n,t)||this.parseSymbol(),l==null&&a[0]==="\\"&&!Bv.hasOwnProperty(a)){if(this.settings.throwOnError)throw new 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_y=/^[₊₋₌₍₎₀₁₂₃₄₅₆₇₈₉ₐₑₕᵢⱼₖₗₘₙₒₚᵣₛₜᵤᵥₓᵦᵧᵨᵩᵪ]/,a0=Object.freeze({"₊":"+","₋":"-","₌":"=","₍":"(","₎":")","₀":"0","₁":"1","₂":"2","₃":"3","₄":"4","₅":"5","₆":"6","₇":"7","₈":"8","₉":"9","ₐ":"a","ₑ":"e","ₕ":"h","ᵢ":"i","ⱼ":"j","ₖ":"k","ₗ":"l","ₘ":"m","ₙ":"n","ₒ":"o","ₚ":"p","ᵣ":"r","ₛ":"s","ₜ":"t","ᵤ":"u","ᵥ":"v","ₓ":"x","ᵦ":"β","ᵧ":"γ","ᵨ":"ρ","ᵩ":"ϕ","ᵪ":"χ","⁺":"+","⁻":"-","⁼":"=","⁽":"(","⁾":")","⁰":"0","¹":"1","²":"2","³":"3","⁴":"4","⁵":"5","⁶":"6","⁷":"7","⁸":"8","⁹":"9","ᴬ":"A","ᴮ":"B","ᴰ":"D","ᴱ":"E","ᴳ":"G","ᴴ":"H","ᴵ":"I","ᴶ":"J","ᴷ":"K","ᴸ":"L","ᴹ":"M","ᴺ":"N","ᴼ":"O","ᴾ":"P","ᴿ":"R","ᵀ":"T","ᵁ":"U","ⱽ":"V","ᵂ":"W","ᵃ":"a","ᵇ":"b","ᶜ":"c","ᵈ":"d","ᵉ":"e","ᶠ":"f","ᵍ":"g",ʰ:"h","ⁱ":"i",ʲ:"j","ᵏ":"k",ˡ:"l","ᵐ":"m",ⁿ:"n","ᵒ":"o","ᵖ":"p",ʳ:"r",ˢ:"s","ᵗ":"t","ᵘ":"u","ᵛ":"v",ʷ:"w",ˣ:"x",ʸ:"y","ᶻ":"z","ᵝ":"β","ᵞ":"γ","ᵟ":"δ","ᵠ":"ϕ","ᵡ":"χ","ᶿ":"θ"}),oh={"́":{text:"\\'",math:"\\acute"},"̀":{text:"\\`",math:"\\grave"},"̈":{text:'\\"',math:"\\ddot"},"̃":{text:"\\~",math:"\\tilde"},"̄":{text:"\\=",math:"\\bar"},"̆":{text:"\\u",math:"\\breve"},"̌":{text:"\\v",math:"\\check"},"̂":{text:"\\^",math:"\\hat"},"̇":{text:"\\.",math:"\\dot"},"̊":{text:"\\r",math:"\\mathring"},"̋":{text:"\\H"},"̧":{text:"\\c"}},Ny={á:"á",à:"à",ä:"ä",ǟ:"ǟ",ã:"ã",ā:"ā",ă:"ă",ắ:"ắ",ằ:"ằ",ẵ:"ẵ",ǎ:"ǎ",â:"â",ấ:"ấ",ầ:"ầ",ẫ:"ẫ",ȧ:"ȧ",ǡ:"ǡ",å:"å",ǻ:"ǻ",ḃ:"ḃ",ć:"ć",ḉ:"ḉ",č:"č",ĉ:"ĉ",ċ:"ċ",ç:"ç",ď:"ď",ḋ:"ḋ",ḑ:"ḑ",é:"é",è:"è",ë:"ë",ẽ:"ẽ",ē:"ē",ḗ:"ḗ",ḕ:"ḕ",ĕ:"ĕ",ḝ:"ḝ",ě:"ě",ê:"ê",ế:"ế",ề:"ề",ễ:"ễ",ė:"ė",ȩ:"ȩ",ḟ:"ḟ",ǵ:"ǵ",ḡ:"ḡ",ğ:"ğ",ǧ:"ǧ",ĝ:"ĝ",ġ:"ġ",ģ:"ģ",ḧ:"ḧ",ȟ:"ȟ",ĥ:"ĥ",ḣ:"ḣ",ḩ:"ḩ",í:"í",ì:"ì",ï:"ï",ḯ:"ḯ",ĩ:"ĩ",ī:"ī",ĭ:"ĭ",ǐ:"ǐ",î:"î",ǰ:"ǰ",ĵ:"ĵ",ḱ:"ḱ",ǩ:"ǩ",ķ:"ķ",ĺ:"ĺ",ľ:"ľ",ļ:"ļ",ḿ:"ḿ",ṁ:"ṁ",ń:"ń",ǹ:"ǹ",ñ:"ñ",ň:"ň",ṅ:"ṅ",ņ:"ņ",ó:"ó",ò:"ò",ö:"ö",ȫ:"ȫ",õ:"õ",ṍ:"ṍ",ṏ:"ṏ",ȭ:"ȭ",ō:"ō",ṓ:"ṓ",ṑ:"ṑ",ŏ:"ŏ",ǒ:"ǒ",ô:"ô",ố:"ố",ồ:"ồ",ỗ:"ỗ",ȯ:"ȯ",ȱ:"ȱ",ő:"ő",ṕ:"ṕ",ṗ:"ṗ",ŕ:"ŕ",ř:"ř",ṙ:"ṙ",ŗ:"ŗ",ś:"ś",ṥ:"ṥ",š:"š",ṧ:"ṧ",ŝ:"ŝ",ṡ:"ṡ",ş:"ş",ẗ:"ẗ",ť:"ť",ṫ:"ṫ",ţ:"ţ",ú:"ú",ù:"ù",ü:"ü",ǘ:"ǘ",ǜ:"ǜ",ǖ:"ǖ",ǚ:"ǚ",ũ:"ũ",ṹ:"ṹ",ū:"ū",ṻ:"ṻ",ŭ:"ŭ",ǔ:"ǔ",û:"û",ů:"ů",ű:"ű",ṽ:"ṽ",ẃ:"ẃ",ẁ:"ẁ",ẅ:"ẅ",ŵ:"ŵ",ẇ:"ẇ",ẘ:"ẘ",ẍ:"ẍ",ẋ:"ẋ",ý:"ý",ỳ:"ỳ",ÿ:"ÿ",ỹ:"ỹ",ȳ:"ȳ",ŷ:"ŷ",ẏ:"ẏ",ẙ:"ẙ",ź:"ź",ž:"ž",ẑ:"ẑ",ż:"ż",Á:"Á",À:"À",Ä:"Ä",Ǟ:"Ǟ",Ã:"Ã",Ā:"Ā",Ă:"Ă",Ắ:"Ắ",Ằ:"Ằ",Ẵ:"Ẵ",Ǎ:"Ǎ",Â:"Â",Ấ:"Ấ",Ầ:"Ầ",Ẫ:"Ẫ",Ȧ:"Ȧ",Ǡ:"Ǡ",Å:"Å",Ǻ:"Ǻ",Ḃ:"Ḃ",Ć:"Ć",Ḉ:"Ḉ",Č:"Č",Ĉ:"Ĉ",Ċ:"Ċ",Ç:"Ç",Ď:"Ď",Ḋ:"Ḋ",Ḑ:"Ḑ",É:"É",È:"È",Ë:"Ë",Ẽ:"Ẽ",Ē:"Ē",Ḗ:"Ḗ",Ḕ:"Ḕ",Ĕ:"Ĕ",Ḝ:"Ḝ",Ě:"Ě",Ê:"Ê",Ế:"Ế",Ề:"Ề",Ễ:"Ễ",Ė:"Ė",Ȩ:"Ȩ",Ḟ:"Ḟ",Ǵ:"Ǵ",Ḡ:"Ḡ",Ğ:"Ğ",Ǧ:"Ǧ",Ĝ:"Ĝ",Ġ:"Ġ",Ģ:"Ģ",Ḧ:"Ḧ",Ȟ:"Ȟ",Ĥ:"Ĥ",Ḣ:"Ḣ",Ḩ:"Ḩ",Í:"Í",Ì:"Ì",Ï:"Ï",Ḯ:"Ḯ",Ĩ:"Ĩ",Ī:"Ī",Ĭ:"Ĭ",Ǐ:"Ǐ",Î:"Î",İ:"İ",Ĵ:"Ĵ",Ḱ:"Ḱ",Ǩ:"Ǩ",Ķ:"Ķ",Ĺ:"Ĺ",Ľ:"Ľ",Ļ:"Ļ",Ḿ:"Ḿ",Ṁ:"Ṁ",Ń:"Ń",Ǹ:"Ǹ",Ñ:"Ñ",Ň:"Ň",Ṅ:"Ṅ",Ņ:"Ņ",Ó:"Ó",Ò:"Ò",Ö:"Ö",Ȫ:"Ȫ",Õ:"Õ",Ṍ:"Ṍ",Ṏ:"Ṏ",Ȭ:"Ȭ",Ō:"Ō",Ṓ:"Ṓ",Ṑ:"Ṑ",Ŏ:"Ŏ",Ǒ:"Ǒ",Ô:"Ô",Ố:"Ố",Ồ:"Ồ",Ỗ:"Ỗ",Ȯ:"Ȯ",Ȱ:"Ȱ",Ő:"Ő",Ṕ:"Ṕ",Ṗ:"Ṗ",Ŕ:"Ŕ",Ř:"Ř",Ṙ:"Ṙ",Ŗ:"Ŗ",Ś:"Ś",Ṥ:"Ṥ",Š:"Š",Ṧ:"Ṧ",Ŝ:"Ŝ",Ṡ:"Ṡ",Ş:"Ş",Ť:"Ť",Ṫ:"Ṫ",Ţ:"Ţ",Ú:"Ú",Ù:"Ù",Ü:"Ü",Ǘ:"Ǘ",Ǜ:"Ǜ",Ǖ:"Ǖ",Ǚ:"Ǚ",Ũ:"Ũ",Ṹ:"Ṹ",Ū:"Ū",Ṻ:"Ṻ",Ŭ:"Ŭ",Ǔ:"Ǔ",Û:"Û",Ů:"Ů",Ű:"Ű",Ṽ:"Ṽ",Ẃ:"Ẃ",Ẁ:"Ẁ",Ẅ:"Ẅ",Ŵ:"Ŵ",Ẇ:"Ẇ",Ẍ:"Ẍ",Ẋ:"Ẋ",Ý:"Ý",Ỳ:"Ỳ",Ÿ:"Ÿ",Ỹ:"Ỹ",Ȳ:"Ȳ",Ŷ:"Ŷ",Ẏ:"Ẏ",Ź:"Ź",Ž:"Ž",Ẑ:"Ẑ",Ż:"Ż",ά:"ά",ὰ:"ὰ",ᾱ:"ᾱ",ᾰ:"ᾰ",έ:"έ",ὲ:"ὲ",ή:"ή",ὴ:"ὴ",ί:"ί",ὶ:"ὶ",ϊ:"ϊ",ΐ:"ΐ",ῒ:"ῒ",ῑ:"ῑ",ῐ:"ῐ",ό:"ό",ὸ:"ὸ",ύ:"ύ",ὺ:"ὺ",ϋ:"ϋ",ΰ:"ΰ",ῢ:"ῢ",ῡ:"ῡ",ῠ:"ῠ",ώ:"ώ",ὼ:"ὼ",Ύ:"Ύ",Ὺ:"Ὺ",Ϋ:"Ϋ",Ῡ:"Ῡ",Ῠ:"Ῠ",Ώ:"Ώ",Ὼ:"Ὼ"};class V0{constructor(t,n){this.mode=void 0,this.gullet=void 0,this.settings=void 0,this.leftrightDepth=void 0,this.nextToken=void 0,this.mode="math",this.gullet=new PT(t,n,this.mode),this.settings=n,this.leftrightDepth=0}expect(t,n){if(n===void 0&&(n=!0),this.fetch().text!==t)throw new ct("Expected '"+t+"', got '"+this.fetch().text+"'",this.fetch());n&&this.consume()}consume(){this.nextToken=null}fetch(){return this.nextToken==null&&(this.nextToken=this.gullet.expandNextToken()),this.nextToken}switchMode(t){this.mode=t,this.gullet.switchMode(t)}parse(){this.settings.globalGroup||this.gullet.beginGroup(),this.settings.colorIsTextColor&&this.gullet.macros.set("\\color","\\textcolor");try{var t=this.parseExpression(!1);return this.expect("EOF"),this.settings.globalGroup||this.gullet.endGroup(),t}finally{this.gullet.endGroups()}}subparse(t){var n=this.nextToken;this.consume(),this.gullet.pushToken(new Vi("}")),this.gullet.pushTokens(t);var r=this.parseExpression(!1);return this.expect("}"),this.nextToken=n,r}parseExpression(t,n){for(var r=[];;){this.mode==="math"&&this.consumeSpaces();var a=this.fetch();if(V0.endOfExpression.indexOf(a.text)!==-1||n&&a.text===n||t&&Po[a.text]&&Po[a.text].infix)break;var l=this.parseAtom(n);if(l){if(l.type==="internal")continue}else break;r.push(l)}return this.mode==="text"&&this.formLigatures(r),this.handleInfixNodes(r)}handleInfixNodes(t){for(var n=-1,r,a=0;a<t.length;a++)if(t[a].type==="infix"){if(n!==-1)throw new ct("only one infix operator per group",t[a].token);n=a,r=t[a].replaceWith}if(n!==-1&&r){var l,s,c=t.slice(0,n),f=t.slice(n+1);c.length===1&&c[0].type==="ordgroup"?l=c[0]:l={type:"ordgroup",mode:this.mode,body:c},f.length===1&&f[0].type==="ordgroup"?s=f[0]:s={type:"ordgroup",mode:this.mode,body:f};var d;return r==="\\\\abovefrac"?d=this.callFunction(r,[l,t[n],s],[]):d=this.callFunction(r,[l,s],[]),[d]}else return t}handleSupSubscript(t){var n=this.fetch(),r=n.text;this.consume(),this.consumeSpaces();var a=this.parseGroup(t);if(!a)throw new ct("Expected group after '"+r+"'",n);return a}formatUnsupportedCmd(t){for(var n=[],r=0;r<t.length;r++)n.push({type:"textord",mode:"text",text:t[r]});var a={type:"text",mode:this.mode,body:n},l={type:"color",mode:this.mode,color:this.settings.errorColor,body:[a]};return l}parseAtom(t){var n=this.parseGroup("atom",t);if(this.mode==="text")return n;for(var r,a;;){this.consumeSpaces();var l=this.fetch();if(l.text==="\\limits"||l.text==="\\nolimits"){if(n&&n.type==="op"){var s=l.text==="\\limits";n.limits=s,n.alwaysHandleSupSub=!0}else if(n&&n.type==="operatorname")n.alwaysHandleSupSub&&(n.limits=l.text==="\\limits");else throw new ct("Limit controls must follow a math operator",l);this.consume()}else if(l.text==="^"){if(r)throw new ct("Double superscript",l);r=this.handleSupSubscript("superscript")}else if(l.text==="_"){if(a)throw new ct("Double subscript",l);a=this.handleSupSubscript("subscript")}else if(l.text==="'"){if(r)throw new ct("Double superscript",l);var c={type:"textord",mode:this.mode,text:"\\prime"},f=[c];for(this.consume();this.fetch().text==="'";)f.push(c),this.consume();this.fetch().text==="^"&&f.push(this.handleSupSubscript("superscript")),r={type:"ordgroup",mode:this.mode,body:f}}else if(a0[l.text]){var d=_y.test(l.text),m=[];for(m.push(new Vi(a0[l.text])),this.consume();;){var g=this.fetch().text;if(!a0[g]||_y.test(g)!==d)break;m.unshift(new Vi(a0[g])),this.consume()}var w=this.subparse(m);d?a={type:"ordgroup",mode:"math",body:w}:r={type:"ordgroup",mode:"math",body:w}}else break}return r||a?{type:"supsub",mode:this.mode,base:n,sup:r,sub:a}:n}parseFunction(t,n){var r=this.fetch(),a=r.text,l=Po[a];if(!l)return null;if(this.consume(),n&&n!=="atom"&&!l.allowedInArgument)throw new ct("Got function '"+a+"' with no arguments"+(n?" as "+n:""),r);if(this.mode==="text"&&!l.allowedInText)throw new ct("Can't use function '"+a+"' in text mode",r);if(this.mode==="math"&&l.allowedInMath===!1)throw new ct("Can't use function '"+a+"' in math mode",r);var{args:s,optArgs:c}=this.parseArguments(a,l);return this.callFunction(a,s,c,r,t)}callFunction(t,n,r,a,l){var s={funcName:t,parser:this,token:a,breakOnTokenText:l},c=Po[t];if(c&&c.handler)return c.handler(s,n,r);throw new ct("No function handler for "+t)}parseArguments(t,n){var r=n.numArgs+n.numOptionalArgs;if(r===0)return{args:[],optArgs:[]};for(var a=[],l=[],s=0;s<r;s++){var c=n.argTypes&&n.argTypes[s],f=s<n.numOptionalArgs;(n.primitive&&c==null||n.type==="sqrt"&&s===1&&l[0]==null)&&(c="primitive");var d=this.parseGroupOfType("argument to '"+t+"'",c,f);if(f)l.push(d);else if(d!=null)a.push(d);else throw new ct("Null argument, please report this as a bug")}return{args:a,optArgs:l}}parseGroupOfType(t,n,r){switch(n){case"color":return this.parseColorGroup(r);case"size":return this.parseSizeGroup(r);case"url":return this.parseUrlGroup(r);case"math":case"text":return this.parseArgumentGroup(r,n);case"hbox":{var a=this.parseArgumentGroup(r,"text");return a!=null?{type:"styling",mode:a.mode,body:[a],style:"text"}:null}case"raw":{var l=this.parseStringGroup("raw",r);return l!=null?{type:"raw",mode:"text",string:l.text}:null}case"primitive":{if(r)throw new ct("A primitive argument cannot be optional");var s=this.parseGroup(t);if(s==null)throw new ct("Expected group as "+t,this.fetch());return s}case"original":case null:case void 0:return this.parseArgumentGroup(r);default:throw new ct("Unknown group type as "+t,this.fetch())}}consumeSpaces(){for(;this.fetch().text===" ";)this.consume()}parseStringGroup(t,n){var r=this.gullet.scanArgument(n);if(r==null)return null;for(var a="",l;(l=this.fetch()).text!=="EOF";)a+=l.text,this.consume();return this.consume(),r.text=a,r}parseRegexGroup(t,n){for(var r=this.fetch(),a=r,l="",s;(s=this.fetch()).text!=="EOF"&&t.test(l+s.text);)a=s,l+=a.text,this.consume();if(l==="")throw new ct("Invalid "+n+": '"+r.text+"'",r);return r.range(a,l)}parseColorGroup(t){var n=this.parseStringGroup("color",t);if(n==null)return null;var r=/^(#[a-f0-9]{3}|#?[a-f0-9]{6}|[a-z]+)$/i.exec(n.text);if(!r)throw new ct("Invalid color: '"+n.text+"'",n);var a=r[0];return/^[0-9a-f]{6}$/i.test(a)&&(a="#"+a),{type:"color-token",mode:this.mode,color:a}}parseSizeGroup(t){var n,r=!1;if(this.gullet.consumeSpaces(),!t&&this.gullet.future().text!=="{"?n=this.parseRegexGroup(/^[-+]? *(?:$|\d+|\d+\.\d*|\.\d*) *[a-z]{0,2} *$/,"size"):n=this.parseStringGroup("size",t),!n)return null;!t&&n.text.length===0&&(n.text="0pt",r=!0);var a=/([-+]?) *(\d+(?:\.\d*)?|\.\d+) *([a-z]{2})/.exec(n.text);if(!a)throw new ct("Invalid size: '"+n.text+"'",n);var l={number:+(a[1]+a[2]),unit:a[3]};if(!Y2(l))throw new ct("Invalid unit: '"+l.unit+"'",n);return{type:"size",mode:this.mode,value:l,isBlank:r}}parseUrlGroup(t){this.gullet.lexer.setCatcode("%",13),this.gullet.lexer.setCatcode("~",12);var n=this.parseStringGroup("url",t);if(this.gullet.lexer.setCatcode("%",14),this.gullet.lexer.setCatcode("~",13),n==null)return null;var r=n.text.replace(/\\([#$%&~_^{}])/g,"$1");return{type:"url",mode:this.mode,url:r}}parseArgumentGroup(t,n){var r=this.gullet.scanArgument(t);if(r==null)return null;var a=this.mode;n&&this.switchMode(n),this.gullet.beginGroup();var l=this.parseExpression(!1,"EOF");this.expect("EOF"),this.gullet.endGroup();var s={type:"ordgroup",mode:this.mode,loc:r.loc,body:l};return n&&this.switchMode(a),s}parseGroup(t,n){var r=this.fetch(),a=r.text,l;if(a==="{"||a==="\\begingroup"){this.consume();var s=a==="{"?"}":"\\endgroup";this.gullet.beginGroup();var c=this.parseExpression(!1,s),f=this.fetch();this.expect(s),this.gullet.endGroup(),l={type:"ordgroup",mode:this.mode,loc:Ci.range(r,f),body:c,semisimple:a==="\\begingroup"||void 0}}else if(l=this.parseFunction(n,t)||this.parseSymbol(),l==null&&a[0]==="\\"&&!Bv.hasOwnProperty(a)){if(this.settings.throwOnError)throw new 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) 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) 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B9NveWIyPesJ7QOTIB7XG4ny/6zPaw2+mk0o3K4a2ZujpoeFUjnfxW0cPuHdCODuU+kV29zeHpFYJ2i3UY2ZRp/RFPwsewJjaFJB4fiOiUKngndBVxFFx3iFXKczt2bce4kuY7qVOum2XDS+qSJKVw+Tn42y+UozrTmCdMnuqbsRhtbCFVwIlDy4PpBcoVS897Sh89Wtrlt+AcQ902MXaSf/CEN2qleKuN29o4PC4ZWMrHHezCwWqfvtCz28btfcVowG1jLIz9RLg0P1QTv1kWU7NHOJ42mUJ1ondiqL8wco87GnETd6eMvCYueC/qlGzye/gsioYGioawUeY3FNZtPSk8eDVntGNjp4zht2mOJa/yX9tb4FS2n3hw1/6bg7TBmehPXHjtRT8XZh3m6QlK05/NOfJPHZkI8EQo/4TNoR/OSc1dAHQn07ab9NmhoXAxyttDxsegJc+OLYZ8kakZNysZMnoHa816GGqITGQq6ehbk2Y5lh2tX6m+DZ/C7kTSb7ZrMLHwgrqDVIIbYUyLhK5DObwVjXYuiXWNrJskRz6u6KDoJuv8PI/KPlT+b5c7BCl3wnLrI6m+9L4pIlG2aghPyN7bpxl4LOfz0GYL4dCxWovObDRp3BmnS6VlM35zgOaoxZ8lk9G4SeUjXTq7iWcNsQxtHtQ5o814qFSrlKsJ68hxPnlvX+OofWNquHTjcTelc4XsnG1SCAOV3uJhgo7xE6f+vtArqoya0Xgt2fWpa/4qaaZMpFvPac2EFsejgTPT/b7e0RRFWUqRt73tTUW0Y1Dr0jCEDu82mno/LgyPSUGHy1brtrtrIc4SEO2n3Iy3NtQj7Ro8atBWExpr3O1a4DzhwWTWpm1bG/8yiuQFZO1+SsbKjhXYtt0Dz7O7wpR5mSlfUkW2gdQuIfFto/IEvrqjH7JpumS1sG63e3DOlvgGR9YbS7Qm59vntW+O+NLBePDVXF829959I8c5b7w5ImR4wum3umzqIPi5Z8nakdoq26kZNtHNyJnhPef33Ksr7+Hjf3V+dfSU08WkQzmuNmNGZWKx6mxenun1Cjkbra5ktCYz0lePKq0z8IfYONLXoUyWCnKjlpcVUfMeXIn+nXq5jiv5vtChLQVF7VDawRa6FUQMfJy269VGyk4HDcfvG3ZOj59Y6q98P1btYpftfpHproK1Msp0loG+RPPpyQF/eMqXmxzOcKNmTwDuo3lrwGam1KQKhwAAIjO71nvTuWYx1lfiThI6xs145pb8vj1eShQMvdxeb2jS3e101z/Rt1bwaFV2OWvQLT/+blRDjmGHEMMd2BXvzClKxXahopSNnVhp15ZK8dtOjjvx4MHbNNEujwnZ4YzFwrfzvtKHSSlVmxnAs3c5nSXfwKipx1Uo84wl2Ezm4l1drqovYK55gp6HjvZtOB64GLHqKK3XbnKQ/lDFtUrHTnY3l59Go1P7uUjQZ9Y5tDohEOt55Qw19SFuiV51FYjPi9NTuZjb2t3D2RIJhqaFqCnkTvK1ewcr15o0ubRA0iar32cOX+uNOWt7xXHYs3VHj8VFe+73skW3HUKdyc3G03FM8flT+GuQz+V6r0HKjCI7UMlW/5+eLr4ULPDrA6lQbnVofaC39v/q8JfChW30mtmMN5zy/D96XP/ykOEVJCCMfwe+B1vE1mUkrBRt8qz+Zbxehx23K/GujG4Zvl0IItu0IxyFAyluF8IeXGFV+Yo6sJMuS9I3Upnn+T02cKIyfIG7ZT0cMyAKdfIUcXm5O0hqchGTCzzGDODESJkPmQp/zNOWSMh8LG/gbDoHpOkay6xAUNTrEs1BHD9cgseinpeAwDbQTE9UbnGISdGhNqZLpHA5Fhuk+EOR/ce9maxpbeG9UVPKfD1h1tih0Zz73lC5OP2OqalNSzqWi6tkRMygXvkuFCv9CBFdKZkFZGWUanh7sLrj8HaVjGyyM8fc6Q2lDsmhX+DMLVV310zw9MZrEwuTmeOjuQ/Tuf61XiMnLPWNmUoJZmz3odt/8aajR68v3nTEc2mv2Ou38/eM2CHo94wdyDy0Z8ka7InWesR0Ij9OUZo4WzZCAznduzp/bmX5XQ8eTebs+rJ/gKoutzvG3+Ie+D6shjSo8bIGilyKCp1Tk5IyjQ/sdIidbC8qnQu6jSc7hI10wD2XY7n8koMbmDl/XkQR5NIPnyi+L+qT7E7Dvr0Vv7t3XJef/aLj4DCcrXz+VPjv6v3d8MGLRhMfckT6JtzCcoq1Wm2NoWHawloXUhqbl++d8B0aDFczUV0zmV+4W8whuc2tn+Ab8D2K3HmvHIsEKSOuDSskMdmuODr5gxR3yLiDO9khFGxrCY6tBPgPJkJ1SBqnj1rsaaAG5qjDklZ9eegGzl/4XDooWY++3qTZe7aH55zOYNd/H2JUtaLnwtyZv3D3mGzZVxvSuqPjhmK3lTl15YhxOMecsG3Yg9bXNM6FzUY2aE3VDu5yo5iyo5j6Iup4h7GDKKbWJlzKVKuT7Doxoxif3+HNDu3W8f8d6dYhTcpqdqZuRSXbdoIKpMcOm3yJ/prT6rOsWkN2mBpTW8iu3ZOZ8u0X8j27jJmLYsGuNQUG08nc84IvPnj8xxfCd96b4F1qXmXgh2M3+nJjED491+sVcw4dUaLsjul4wb1XdI+mxhL1Yt0amdZGe2oxYWIql3G9JN6cA33JrcUl0N1t4xyem9iooUq5+oY2XKbj8kTW2/qt6seosp7CNrCb0dzp2uMH5us2/GUZZ6fykjh50tTGHim7c6e8EEQKKh7fGWqkts0ktb+JSqUnt6o7Fbokg0QUOrb7Web5bGSL3DA/fMy2b8YR98Wzi37h2rDZBhLRvOj8gBjwTB0eMw+VmOzbg8UBY/58ZVowW8WhR283z8wHLWPmQECtsqbD/qjqn+P+2LeFfLLUhJw5T5kq5mqOgkcE70sNFq5ONCv9aSqTCYuphsHu8w2HnK8TJ9xXjHa/lhT5sW4uM5eemkqHRwbjW4fG1FGPaA4s1aVYdqhAM346/va9XY7R3vAHo5FUDXB6vUXqqu9B8eNr/QLvh48ptX2VU+JeGTArx6XMTiUbDMh22jlDkMd+ARJ9KiiFs2L+Dnvh/bf0JuuJBzK98VUmMdsVHEst+L2R3qTLdGQpSfuWprtzDNNMvaXQFz1yQzkUtTaPTJ3X7L/eaI6inA4bvXxvemldVcHjs1NZj83Zq3N3FcIHMvbidFEXuHkV74Lf94eZwRnNTN/5qNsdIDFFjxh+CvHAbqRH0AleHi1KgS5xV0NKkulZCSjVTqvGbc9erpY520nqJ8nnA+HxE7fmbtuXmbXNTHx+81BPzhQ6OXKsEtRC0urKePsTRPfooPH2cHCCmJ2OPp6oTdDrVZrR++Km3HQcnky9NDIad7zySEyKPDb/ycdmTxb3w/Xa8q0nGsHUSDZjl5zibbOlGChW2PU4MdRPr8dUkDcmH78wGFZmUBfhZfhNbBTpP8DI+ku5ds3hUaO/2tlHkl46gpK1b1OLMstVbkRaS8rV596TGT81603U4mkX/aW3a0VdJAWAzeIO6jYWgqiaNif6Yw6dM7kUbVi6hg+Mhu7W9hkyCavKycDXE6Fw/5koIPWcO+V69MtAS+XNNsY0FnAaMwa93lcYHhJHubDFOG1cqsXNpUYMaAxmq3Iudz32W/gHTIu0IQlZGxL1egHSwuV/e889o+dT98EvG5/9Da3HN9Sy96nWtdi34e+U+9Uq5RyymJMsQrAovfW+u7pGLt8HP661Ec++QcPqlfkO+DwcRifZ6u2zVoAKW7UIIsCX/I+t/3DCX/2384e/MCCenkJz3zHwY8ymnM4EXFoAlWlQZ/bI8RKvsHS7xBHx9iyI43PgzEdzBcDMnMtMNjQWvKAV1Pd7oxBKu52qgpubOh3tZcRzl0IDtNFFNm6rVnoY66lUuAtgfPS0r1Fg5MprofVr8F/wfWj3kHw25KS1cuW1jWC0oQxLqTN5Y3kUuaS8Ofr1569Kr+L0O0/MpIxGxn5aMtdij+aSfhHMFMPgxt18OJu/dGBZLKdO//6BE5rJIZsxPlU9FrUbCM9n+CFy9Nq0bKfF1h/BI+AnGIfsxFIKOwSFjobtgldhSw48MqkrVS1ENXr0xoHehsr4uVHw5L6MyX4oMl5yxdjZUKrZNbpSPmZEq7Zard+BFryEiWhVHwfas6j2orI+7RMS2bY7eratDQDHJPXq7vGcujB2NhHNUvXzlaX1aTIReXJtWEX2gq/pTMniTKZS8My+PVmOFYoM7Y/BdFHKle+84t8s1G2lqdUKpvj19+BJ8CPMgfmQZb1OPS77lSee51lkSw/Jl5QXEgjwDu3l8cFRNfU4u9iV/ySuIS1au8FLRt+5O1OussfNk7HkQDWzsHtFNxKK3U0aKR2lMZO0mry7Hglm9svWDLcocAvqjYNIb14rozTPkkFZwfapiQXBNS8oI2CeDHaGJc/dZr5Mq6gzTESt3W8aUTP0wnCsNGKOCHbvHvAaUvy7U5zt26r9gXITzGsE88HmWm6m7uQDqxiOqqMMdCP/aTA/lkS5NCm6LRBTznA6pwBq6YVI5joTTRKgX7ddDa7/4l2ilTZvnX10jeDOTy9FFoyhGL7vKKM/fqMA1tQjyxaiGJ79izGVjY9snlsbFw/ODAhRQlQNvyX3IXZzCu6yAU1jdFWXnlrI54sWZI2lVhE8gyqgGLKGqFdivLSDbLHDuGIHFy/C+s9hYbU2jfNjF2zLtNVQy5bUatafaboiZh1tO5axFsLgmZtdDa9ncODzRxfnqVqzcWL01X6tr69QjflCrq5k9Gevu+akdrzPbvLsQniACOlDaEpkx7wIDx4npZLxIOcBZV9RAaRioPYbQegLKQAuoZaOjejUgmjdG3V0qXGPUfuFlXB0KrVAW/1TM7Nr3WOsxdDjZ0Jr4/QEbYxDeiTiHfOh/f6+lcX+AT6+s6PCLPSLLHD13EAi5aG69eZQVm0/eMHc40tDwHhB+KvTXbZpAlx/yOldG3/HtfunraIv/WZumdXHtbmc5ZmRhGOYkBHvb/0JvBvtF8JSyrm9X56xSlJQyhfQwqxiV/SnUjjlyaDMaXL5jOAotUtKdPmEeppq6llndbepGNjVXfbM7LM8RO4mm3btF28C8BqfLReN2s59Rvi3Mc0YSEbN7plyl6fpt3nmhBM9TZeRPrePdP9jr11IOmrKWy/r6Ky2G9UfNvn8HrQn7cWrnlaq9za/gu7X9eo1NDMypafsaah1mAILJ8fx9bfc9HPVcE7U6uzpB5lx660LbqvSF/wGvxX8HOtF60rJzpmMjKXOiZwCqB2EKb1L52v727bXlacU14PWg6ODlNql1ah1AePg3kCUwmspSQXLl7p10DtaU0tno3aNKpQy3h6KqWb79yZwcGmvn5nc3TUoaNVWLtLMROOnhqpOfaDQE2iOLEyB0kZugbIE+gZmR2dr7upC6YCTNh7w8wFLqpwwiLKFcDR93Qd+ikW237GRXk48RYnSC/Riflg7nXXrSFvcerPkBGPjuf16kLb6NaWDXMWgCozWb+rfXeS9y9W7OJZaEwxmX7TsDO07l+QLatrsn/b29C7G5syM9wEZP8dav4Q4+C1mUk76ObNG7lj4Hbpsw7aztxK0WwtVwB1bH9sA9qOkS1Wb85KjgWyOEc9eW+5JOWzZh2YGQ0dOu0qaYOFYoqeCYmIL8RUJU4it4mgPIWAG8h5KaSIpOcGCtGtnXFbaSQ4MTbLt1CH8yxkLADiQiob5QEwXGmbo7ntv13iGphPVXG65SelG35EmRPFmR9QyqQeEECkMEHaLkIjtK8dGLh4PN/yaEfDR4G+NkeLwwKRP1nuxlUB6/wGzKnHqYqmdORip6N5mTguDdw6B5Uq4AP7hDE19/ADu/Gyje9DgOTZTd4G439v9eFR34vHjG/7A4ZuPOnRxYmPrPXPgfsKfv0MX1ZcdBv+TyOMGxEVfQKydRB53WZRpQjs/Mh4VSrtXPSxKyAwe1U6NDpIpnUYFcRVl8FK7n0xOGVVua0J/9/wx3Kq3mLV6u2eYICxgUiQ0ocWqm9CSeh2v97JHE5X0we5ut95ArdS9KyonRWu1RldKhbL1n1u/AL8Fv8aySJqEIg3ZLnKusnWnfGzP/8X2m0ACakAlJdjAb+9N7dO6uveh6om+PLZaFzL66x2O5CW12uPUcW4ubjR7Ptaw+YNZ8NH1RtTVlWDiZqY7huaV4XGv+SCx5k6G0h61Uc8TVMx094ZA+eXISLf+AF4HX4U5t9/NoxleaUTaASJn02KbQ1Ce/Xc1nrdZKqr3ZsvEjKn/IUPASB0zg43XjDKCGrqZU1lh9Dca4dWHKKeJeh8povW1rV/AVeSHkDzbNcmaK9DrHOmLxPMd0TYFxyPXn71MWTxWjSpHvK13eqa0v0AzXJC6jRxSBYMz/eCRhPbMx3UDkDFeOuIfi4ZGj2fmOIKm9pCFzfzxNBkM/RChrgvVJ8/AAMZjIkKdz6bfrju3T8J5guFJqX0OgQdk1to+TRUF8IPnckNaInaIsdbhA3fj0PolZwwKNd7G4RNTx/Px8InsnhQbXFYxibp7uZbNFaqrgHV9h1LDkPhALR6PyMiX0Cw/DcNYDmsiGWr5iBZ2eBT5vKO9UGwP9Z7PmlcP5niFm/hAp7zrjD8FAbQe6Z6Aer3rhl1HRgyAGSKcEZzMn5CcNBHWq7qjZlPTebJvekpTsBAQXk+oNaTfPgrOrns9rx2bTWaiDWvsPksvRYWcsXjvWs/UIJ07ltojGlhSNRaErIOvhE2jYY+D09frSV7I45bZp41uGTWaVhN8BlV+aeRVu7Z9HkRs54BC5z1WUWEbnlXSvNIQK+EH5Tz08PtWXLE3wLU7x5IElTLZzMcDq6djsV1sl4HR44AK+MxDM6dGVHln1aaXAj3eFTG+N3pAZzMbJs2V0EqXbUwlUpQQ5Pb7VLiRZ31IqmorAHGYxnJIqphOxpqMJ/mMiegMfV6cnWQr1+E2GXIQww00Ta9teiaNrhAKwFyqW5PYWwtYsysQV0Orpf+efvDmnuqZO+mIjdss2AUdP3ZoQNL0rXgN9h/ZtNLqsLP8D7oi5V7AcRUk7Gw4EV0T2uezUXAZdUFeLCrzso9pc2BAUIrjq69mIm8r9YMSDaIyVkOXwO43D687jt0bXQWrQcnt6TIPbGaavt5KzXxdItd1J7NxOlZ540k3oeuzc04hYqr1WboCBk+31dc/suu6UKLB9LPxxZLsvSJ4I/Zx+AXMjOykxeSY72T17bdZSw+ZymZBFzC7yjEBfoGa99vYrNHj2Rvi+5XpfRnchX0afgDjdt47FuuEAttCpy8mdpmgmaQILb69UBjcReF2PU/RZnJ7OVt/FK3Wi7IzBl+B7IIBngi2X+ji61DxVscmL25jCFMUutUwmwzxPK66ctxkM7l0e0rXP46n/7I02yR0EviONui4Iom2rIsObDQrweGDfrWeTuvNN8Xib7vnsKvc1egfH0xudxWvRz2iXCyQnaaBf5nG4urBswRef7xmdoQr/jue31vMEIZpuzPOs35473rcybDLoRd3FycSbKqhMxjonW7m3QgT2E4fI3b2QuAsSe25f0DkuGfQPoz6OrbrgGk23D9QcNtZ/UK+Bx+Q+5d/OuH+FX7HZXl56rRtqhg2GxYs4RsQ//SjzEujyieEYhVT7xwWdl5fekkPLkNuu2XheLD1ukbo5FRDx+6vOAMe+2fqQUgVbsvvnqV8FHknnJrlCTwSzT5oHjgYTxMeZ+TK5V53M3BhMThgY5OGoSs3rMX07Gt/pYsWF3NZW8ylvM/3B6TzE1hsW2de2Xwn3WyXrQpvkCkYQCHw0yvmY3gy0YOfLVWrplFTt8bkmZg2r1x0MHWSMro5kxrKdvhwMmBjrD1CKZj/D43wzYJuPB/SpC4OB6K90EpxlJuXrW5vBfFjqIdcRd7OcTs5uD3plJDinYEOyk6d99EUN2yfQSpksnME9XLzVJAYOsgPviW6h5n5ymcXknb8iBHuumat4NXRzYpQU3VrUgOmu8VMlRhYI1TB9yVDWQ+bPrankCS5YD3ywlHpCnx0sl6aj+S+OvT9ez4aYYiTsNBfXrh8pPqmlSTLFl2ZS1Mqd1xXLnHj/XDG52ekuYRwwd+Y7BZj7pcZhN4hzw+eaR2Hp+FDWB15QZS2XyDqzOrar5myO+88Iz13Jl5t6OxE5rMG82pjUprIx6wDkxUpO9N3YuzWet/q6TsaY6zO7uECxJF6wVUu5Bs8RRlDxxNxPdiEdE85JUUDfE9Jby2n+k9qiYK0967JvcnenqSZb0rNWu/Q7kI6FjGKWh32vwDNA60UAAAAAQAAAF8AigADAAAAAAACAAAAGACNAAAAHA4MAAAAAAAAABIAEgASABIAOQBjANQA7QETAToBcAGNAbEBwgHWAe4CHAJIAnwCtgLiAxYDXQN9A74D+QQdBE4EZwSsBQoFkQXoBkAGnwcXB4gH7whACJkJDwluCiUKnQsKC5cMDwygDQENXQ25DkYO/Q9hD+EQSBBgEHgQjRDMEQwRNxF5EbMR7BI6EoESuhLyEz0TaRPOFBIURBSOFMcVDhVbFYsVyRYLFnYWwRcQF1UXVRd2F50X3hgaGEsYlBjVGVcZrwABAAAAAQAAUl9pMV8PPPUADwPoAAAAAAAAAAAAAAAAAAAAAP/o/w4E2ALlAAAACAACAAAAAAAAeNpi+MVgxAAEjL5A4heQjmUoALRADnndgEEc/z0z/9fMtm3btm2foU12q7TqAp0j2zfI69zThMX3MyZe8JM74C12odrAkNClMuHKvYgU2SgyXGQTFcHrk3DBV3AV/gjGQuCn30+wg0YEtNjpMFdL8OAC2BlMEUkHyOBj2PM/ZNE+jHgR2VwC0DQcaELfsRlM2Rj2hhNY8xu7+MV7MHmX+yL3UczmsJea/9LHynAABy6CI5/CkVZgpBRchb+ULz1rUCiyXO2igvK0Vqdy3wDcSGqpA5UqB6Ry9Y3EnVQRWnlB/FNgakIP1eoXKkWF2sRv+qXP1SgCKA8/qBaRPIsI+dF3sWPVlr7DA4AXhAlRlINENQY31S9zipAidXZ8BCs60Y+v/mJOQgB42mNgZGBgevqfjyGK5fr/F/9fsNwAiqCCeADBGQg1AHjaY2BifMS0h4GVgYGpC0gzMPRAaMYHDIaMTAxAwMEAAQ0MDO8FGN68ZYCCgDTXFAYHBoXHnMwK/y0YopieMnxSYGDoj2MG6v7GdA2oRIGBEQBOshJ2AAB42hyJRRkCQBCFfxxOuLuGwKmB04AzaShBGFwmyGO/HXkKBIEQkHMY8BzmCJRIuSROhxETZqzYcuLcKlvEEhLQYuCbBRsOrilZwOKSTB+99dJTD910+Uzr/4XLhgLNxgEAd9QeuwAAAHjarFbXettMDh2quVeVFKaAmcjrNYeK090Lx7Q23fX7yK2kJed+9yrPwH0ZUOl3+2gLkJJ7+ZtVMIMywDnA0EKhAMW+7wUAb36I0e03WNr9q4/PTJwOwo8Q7/uYq0c/+0W/aLXkgWlZKAIUWm50hCF06DpoKITwo4M5JS1pOZhX0P6cr1SFq7GsIQzdJFfRblLPa8zpvU+Aw5IWOmpjYetTJ5fL0TFoHd6xWNsZrRruHaCldDtlo0w2iWLLPww6NYM9HSwozNtY1T7nw5rWXQcT2oD/28LC1F8708aI9loeljzfwnw92PmbT85m7ANubZFqjbxxjldzQQBJ5k0VTZOquwOcZfssedKpPhAbcQQ4uOWHpAG2DfLqBa9ehGYYBIFJbOGwbqHY8VG8YWeL9uYbvMere2+iH+OixR4/iuIgCNpRgIYdBF0EAbQJj3QDB4sKqIJCPSJMfXrLxz7pYr90qQMUEjpYSukmJqCd9B24wEaGa2bl8zf5eS0szlhk1BBDTLmS2WKdGNr2wy0z2gl8GVgB4NquTzaTeOmV4mCfwgFtd0Qua3M/baUrAYV0I8wdfESjRQ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B65c7J252mX3aJfS0kYDGARSZsJOPFpkRySzikJlTXCu1HIp08CtQ5qs93sJfbqcGzzGyFFMJNgaggx+E0NJWn6FqUEUp2aiX4kYdCkb47ZAoSM0guhTNx5OSut9HqZW+zQj3QMxqMr+l+fByi4GFgFdmtdYWXHPc0lpIwhUzOkCfAgnfvAjSJVhF3kvBwBuiAsXiIHWAgw4VfDCwSJIMcFu55eicHkULTdtWXk7VyBfFZwbcbxHAO6WnmrII5UODqgmG5ba2X5Y1WDx8n9P79ygBpgov/xzGh40BBu3AZ4hm9WEiW/KA1WwD5pRvYNaFCHqRg1nf9DU2HBkToBzlNlDOhX/qcjgFM/yRSNYeE2h720tOqXWBNTdTEJzHhohAND8MEaZuAAUScqkL7DZHEJbQLHGndRF9Ip5gDM1bStQn45VDsrQVWdLLV9MMRdvHW/vK4V85G5XSSy+FnD7IbqfX0IaVTn7xGGlw2Cz3FHYekEsqnQGxkE0ZGClc1Fy6htI+HVYh33oGwqSHWQJpLqejC8tW4CCenldCI5NUwgkGEIMfXeQZ47FR9eb/peIxkR4OiCZBWTb3Krpwn2boxcJI2PUVysVMa2OOFiAbSh/4gLwBdYAm7MITDt2USeO/xhsrRJaE2aFDMJnACi7JF5NBbYhhSlkgRiBkyE6PuwTTpmi/2/TMrTKvvzJU1mBGhFeXYKWTzNcTgS9gDlDE5mvJCv527RDZu66gIu6PK2wpiUtMqgt1e7qlrTsg9IBcg/wLP/MJxYF8T4ceKf+1g+XgEa5QEs4l7q2prscoG5KEtapJGVHM7KcxA4CSiru2asFCgLv2SP4biy39XoBfEz3+OWy2S2fTFj376U8rMt5rwCUPlu39QNP6PhYdOh9qaGjXnTOL6r5Q9i1mqJuY87LX1Ec2rbOXRvEDBj87Ck5BSTcjQEONIWmcNBkCf2jdZ5T1B+DO2xQTAC85LFAJqdEZjkKaOMDXnPvZCitTNs0x/PN7zFihqolHniAAtbdxDqm0B8+rYC3IciUhQEvJjLrgoMP+HAE6AVnCWwP3g6/XXLpIb/cozXNQHB9ibU8yV5xk97LrVYLYoPsrgl9DZZo4CYMWVREYBaT99U3l6FgszvC5ePsViAYAmC47AZt32NSQhvyATbK5Um/ZsoEJMkJQfiEEj4Yn7g2gnRksGqroqJ9NHr0/7j6dLoaHpcGp3JG7WNYN4PW01J/Dkvj3q70qHwyDjUNAgZ6lrxCiAb4pLsmNUMHu3OSnjtvzZU72BBk/cCBOQwtXCFX62GeyVEbWmcjw4b8O2nK7ENHCdkxH2pdSRUbrSMjLw7qhxWc+Qh3r2q/ngHxsGFkFlshpYim/zYG6k/KillSaE18f9R3CK75qi8fkN+L5upW6AvtqaUF7KR1fMVfgN8pLgzC5Huk088NtrPka30XeCAs+MgFH3jGFzlWPkeJK0fOOcxfbJUU+pA9zJTUF8IwnG6G84X/8ZSWFfVVwZJMP6lzRjX1nS0O4RTdhfzjeOPWiAmOK5MWlLsZQyYmJzKh5hIJGrKFuUjlgy0hpxXI64UoqKWEgvxrnS17uhqhHvRxqvkAz42NeRjLJlfjcbkU7jS+QrKaQw62EmLir3yNawsLVXKwFnpXVTPLw28bUkc9xM/cZpX3kCyU9pCXsYvAmdTbGhFCfFLP+BDm5MhsSKDx+3Gyn583mQZHBWjLKaAWJrKHTA6QiVn95K7qlV6TIXKSpc8ZSiaq20XtGsLgZ5C8QKaJK9DUyFmUNPSbccjcjgaGGd4pCYyZz+dBedY3pwGDggDabVC71xL8OKQ158oB1UtgRov1gYGDoYl3ffK+GQW1vAoYnFslUi94sc5yNVL4OYus1dY2y264ZCr8HT+d8wvmMPng0UI89STzDd+CcREGpEciSvidzKnxmDvaf2F/wTk1kYkM45oj7iqeJNhd4mVQKBN8bjnwYsSk6Ve+FvKcW861sB5ntjWpVbhbxsMdOx6AApQAFTqdwfVf20/xswIaYfJ/E6qqF9aDw79wkYPGVP1NOYaq5xloKsHzcAemwF/gomsQPzMzOUjSEF0f9i0HhMh8bjRS/jWKeRVn16xXWks6A3DHz48OGJoHljEjP3OpQyIDo7RMuq0y+ZgekLsLdAjk3E9ugt/pTusYdpWi7pxbxsIzUFHLB1nf9wtegL9cx9VkYBv7aMtMIEk13sW4UhpB/ztF4UYUY6OcuhyKKNT7cqhaxXzC8ZAQnpPE6Uh7V7tDTV66BL+zwSLOaFI0cKUXGmB1EX3uidS0dRv/feMQkKFjjj5h4dUrtQAMuRgrwV6s5oJmeWXNiwm2xOkY76gyJQBgu0xC3hC5w5T5FR/FlWJ6aFb+dRoEU0W0V+jWNvP0nPI+w2axub9oExpIlgmQuCSYWwb0OAzhukdgoItxgQFLfKbxhrUv2DTOvfQAyD1WyyiIII17FLBWTDizGiu61YbafYPU1IJI4RDyeQzr4SziRKMqzhGv8BoBDe3c6jIsOa/w1Ffw8FNZdWea18JBexZn/zwC8hkvYbzP8JYOFFrcUWqzm+qNujT9IVydsY/1hOoRB9KSGwoFsP3MLxaWW4wq4rAd9XOLrVZxSa25t8ShWqlL/hM0zZorMiuYL8An8X/fcC8xh/AHnfpIAHUoRKa83q3cZuKf5SA6mT9zEFPRZv7V1GWncHUfrvMc9q19AhWyAK2lM3kd6CJvZreNcSUESwB7ebMjwD5CsQulgRSDPvTSPBYWcfu+0l7lw9Y8HBg+D+TSRgKXPoW4zUXtFuNoYSw87ZXDp5IwYNoGnRtyzlUu9T3240rRfTxgtJRdMzPYXBc5ShDEvUPEeUIghJXtXLZgLryU5AsagSu5DL8fI3/NwOtSvlTljzaXYbCy57tf6M3ASDKLx5wJ9wV2vRrqXfeJJEUo0/w27XWLT3Gt6bL7v1lZPungaPD7GrggZvHR18D0csCn6a17R73pMaueG7NrGjq+q3PitJAlPGuEIua06990WXS38cfy8QNa+pmeMvBYP1SoNH8lou6ZlDJkCXHguANo48WLRdhoo8Pta759QhYt/RA2EQfC1QHjogByLo2/EdMlo6kdZkLX1TbZ0SvUPAhLT1p/LZF2jJWRQ1tgBp1VqBXUBm9FACFs6m3OY4m8jpXa8w8HcTw+IQuK5kkAxm7vMQHIvKs9nPd33zeActkCOddJqijJXWOnYeJYA1oCOwMic0uhmU/vJVjXgHwqenO9ax4QRuT0v4F1nZ7Y2z8MAUNCrrY/c4L2MZaknSQ3JYdaf5csdnuOJNiWGZ9hYTasAY1l7mHS5wOsjzN/rIlbLNYr+1ggUNndYdMcRmkWoDgQMxGuCbqtzw069ki1axpz9OUcbCk+e7ONL8YvOinl/40MLtj4PSznKBr2SgbdwOvj5lCt9oRNkXSICiDqezXx4WW8GuY8D1RkouVVmJRpCySGNhajvFhcQmKpkYxVZeFMPRfhzFhQY7hBNQKwFEZ6FuQgfqIoQ1eq3Le/uImlXhAmKX8UxXr7KwoIl642b6MqTluGZbhdzTqEEdRnhm5odcxfwC3hPM49PrgjLpKuqciMOkdGYspVHGjUKMDRwVrfK74N1RYRPFOMPQa96GTXiyFATB29CY4cpXfmcNhRQtVfTvqSLKy45sQG71P4kf7mOraU/ZygCFpl1oSIZUtlpNFk6kbwfKAeSEtxtEjW5MpNreYLbGp3UFOXU1BZ3TieJscsREpDzIr7Et9qs7DkBgJLXtC9ERKFwNUuQUi4EV3kY+gQUoiKoXtvlT2B3r2EcGkiWylvaH6/wOfsRtpLubgu2NX7x5w37S9IEPHANq32slur+/2X7ve49DGj5gA5REFxFrQ4FkCa+rvghD5c9D0Eb23HGjir9hWNDwQm8Tp+Y7p97sECfb692NgLDBu+fuwcu9p1fX0Asxb/TjqZvJ1hMbkLcOFG42y1jDOG7lVzxXSm5MEbSIrFoy3lOlSM3P7k0bvxQo7h97g6Dux5arXJ3l23/iGMyBeI0RUSry5Q0u1u9PchFrRoXdBEdFX1pIWSNOvEJoAMsP76qRI4I/ZjIZ8HSqUI8eHWPvUHU5Ln67i2mWhBm3I4/HIj+LUyD6WffPZcLxAKIs9XO9IwYMEBc4GWW/pYzA6n24+D0XGxZcVqALLvaKnpdYmhQQ3BYgfALl60gbyI8RCx0xwE021IY8BXXgM1REFMTgjTQwUIVCmn7UJgOYXuLboMv3UUDEZln8Da0C0rCEBvC1E2eBSJldPeABZWH2TV7lwjq/uiSTes1ngtBKZgeCavATNIbFDLWVl3IVRZsL3+gcOFj/6IcoVIUkdCzT+Bf/9lTGDsJZxJiyjrRgGFKqCqS6fKJzCJYPQEkhcpphqdvLkUBu0dfhNuGVrG5ygjmKQ+WltUIKExT4WSJCde3TwJmmCG+iu73Yml+je662ni3nUS0Wv0muSpbvd9VR042wvetqDuHrnprmqkUYTE5WVSuSs9vY4WEpoLjLoAEy8wf4ow+pjkAPyvWWEZaXYgDZHdEC8DcX9C1xdNe0f0/lSqnC1DeA/ElZGCQvC+EwgPDZ4F9aZCRub6LJI6xff5oGY59XsZH5t+z3r1c7Z2k1O8+m7et7ZnP2umzioGkZcY8A9rdFuA3yIbasBez8obeWDpCAEn3dxynZnNMeo2qfEznj/oEHS1Ze+/5wImcyw3yFYa1n1uQZqH5E6d0ZpLqpTgvgIrEBQCoZV0nQbraAQxraEIItUnqUUzOJ6VRbRFkCNsHl2lMB8VMDWPJKFjgGlsBDI+Qo3UZbA7vdeoUxI6BJcB8U4FU6pWf5dIt4pLGpEQUm26LVJHudHt4pSI07jkCrCA3HelGrUQNdaTmq1ITri1lLwJphOL3mjJjwUwDfVDQLOzPVlS1b2cnIWThLFYQK6V4ltUlwdDtMejGM/SEyeCD7K/vUehHRqzyak7AGSE3g8CSKy7dYKCOLqGIIHMn4sYjSRkpseKS1ZF3plomAQFmX9FBHS/tea7SitrCjmzPGVSSO8CwMB/jqQ/LKeFs/3MeGNFmKhhhvPzPm1bggiNASP+Xgpc+ZUebeddzwUOYZjGiJUHMxun3NuEEV4xOMc1TR5K+wfryBs+sSIVW2RH5fQG4l5kPSSXfCV3NQPEj0OltgXQf8M3SJ2JmBYmUtZwES8LMpSNLZwhNOvHTSyS/tEmTvQvrIAQjTb4mqaAJQjPOpP/jTS8Yp06z5RVGPH8S6bKgOnkLaCWTK6oE6+MY6zFgZXmNtmRDOlqv3IGa23WxRCogLaWxDm7zQp7ukk2WvaKaOAenWT+qYHbkl3IUlhqXW1I7yA92NoOnUj4YFwa0CwpqstJYkKLWIiSPwLib2IJRHSNrYTzGlCsLWCiAKhZNypCibQhleRe/G/cHYdHaI2eC4nk2spNgC/HQsGqfa+c9Y+ieCrrllmwFmkQnlAmOBPaoYUt1gGyi5ObB4nRIbolfATyKbyFJaK1dJ4/7A+suvMn4pNsiXxqGa8FiLOdUDNlBE6lUhNX+h7RENSKuxjFmd6Sik574Sd8c3TTo6gYIU2Tf6TCkO0ug6uz+Rrsh+OVYoh1wKyyehRYssbdRRqovjTKgVrSFF1V/OeHxIgZvzOqDDat63HZraVSMCJ37wVN7OvOb2X4bE4uBYMQ5sjT3U3boT04/b9a56xpCU8V8EMgBOO0QC4gTfh9DEG6UwrfMKCuFnt1IZnab71a8rvEsvi292ADqelWDczqXOzGMWoWOETiKIoWE+jP+DGYKCgeGSuOP0We8ATrz8kMG+ooV5ZKPQcF0jdbvfzZWf9wvF96ButE3+Ipp/EVka3aA6o1DJhqgh8zdfjb8GzDCaHs+eAcbGJkYB1oX8zeFGHpnYXXDbeK5765vtZvNDiOnfaOrpvI7dgrInwh+h0di5vrrFU+wyOZd1w8LFMJgr10zW+u9Yt3I3sBHu42xwYd9MgMTWctK+M/aCnGtsA1zJjLDm6vxDG7EporRe2iIHEqB4iocL1HrHt9yVWX13Lw1A/BMMTjTvhFrOSkOzt+SFiWfKZOhpl8XqN3bnlS6EnT/rjRnn8YVfSgYH7a35lPS+JskzvZ3lD/SQ7q3ocRSIglflytWhMwwZi9qvuvGcLgnIf9pWfZmLoriAZLTFzVw63SC0v+ACF+1sL5/tGefFZ+12XI+LbxAyN+d0cZsT624Mq15r+eM6MNqAlauFDBP/a7WdriRagRmVA0Hf2pwn+EqP8x3h9SeFmbMb5QuzSps6fa4IC8IXmqaTE+c1kHCyVr1sfqCmBBdmtbAeDm8/ddVtD5kbwurL4Ucd3xEQBkJZSyCCa7dcIVxsdpzrpHWKmDxxYar26+Irp8waNGutJxq+AjoqudVddONWpzlg1ecJvl3hDErt3EHp+jwVOrHg/AahO7NxbDPtD3dVf+pGlfiAT8NzF6mTLjuAv40T27Jsw4iyQ/FEXkha9flIsSxcCQ/VMhx5Na9GAiHNCZZyBywuFzgjOhBoWTyD9lEcJx8ZklSamD699HzJiYzg7d6Q0IG0Yd0mQs+3efnWxj827NJjE/zRQjSi4nxGZeQD/Ku8h8ejgUcMVZhgU0GUTcAJKYpZ/kxG8vIIkqtzDA1v0DExI7PcO0RQT106CWS0oiLPE8DVzTAQWHKWRuFIXmHkrIqMCUBlQW+TBiYu0zIUr2qTOuQKsJdMcNldFkdi436T8v5F8UcRvymeSOGIKoV7kfkx+HjJ4D2Wi/0iNX3r4EsKX9ZemNCXc8FHuj8dXsaSExUPKnzy+umZFLmmvyRlL+eSfdT1qXyr+0XYYS8u7O9Arc8k3KRtOalM8YoKD/z/EHVKcRLN95xTVNIxqyqRT6u2F/QTacx0GJyC1aqoEZEQqewiIOMKat1GucQ294NyIrS30lm9QnGwWQOF2HmC0Fgwu7omn2saSytpD0hDe637eSZibjqdwf5LyBPkjYkWpbe0o45XGD7OcfcWIPuhclawO5Y+4ZMhebH5KsW/qdfKgDEQMWJ/+hHpYyBH3FK4yJ3pLLxGwNApjGnCHX21/fsONIb8PLvRZHyHNPEAoTFkWdMp+i016/EqAWn9BoXucpJBiGACoUtpUCh9yqwGyQkliCWhaxfxAmTvS/5nAwBfYkqbANmmNoAFkdZgwGalf10q7pj4JxJc4yoP9YFSao7PeS1d7DP5DLWC8EbC/SgNvivO8d7ojcC7n5A1qfAQ4I2W9tfexj7SHjzAHgTHdLqWra27K19rInCJobCc+Rjji/6g5YQZ1oMRkjElrlIVAkDY9cCRBmF5Iajo+pSsjY2v9kcIzKlMty1a0evZ7fx4diI7ooFlyh9IDzN2QjeIso90Eo/KyxtlaJzEHYmzLvI3pBiEH0Ha/JA/nIElY67304cP5aXTxJI965DhDcQIrrak71UISr9Cxi1CWzmTNIs1YMW0O3syYzaZ5rN4IsFFxwhkG4Z2uk+ZE8fLqzEG7K+fqJ3T2frbYWShGGt/6ZfhbfMv2pV/c0IIikz8nb+i/S2jvfFLf6PsyTisHFTH9bDwmbnY+pW/MX44aFtRUvwbknqFtIuT3NZq3//NP6V/ywFxYr3wLTkRz12Z9sT/0u3cl4MvtMECRf1CtjTCDL10FaTz0y1HS8EJT3gL2qXTP64X5T+o2gUW4UdAIzb+KiYsT1WpNf0SvixdlRomA8Z19UdOIxMADkvMThzL5tLSIGrHXu9dsc74MDeUWYa9M5t9zQ0xG9ntteuq9BJXQLJG2qT1VaQbmbmrespkFS8fXfFgZnzp358vZgeGeY979/cyPJj98kgYQHjzoVgOTng+Ht6Hf8KXBx5fnP1FmAoUa3A2pprlQG5xrj5TYx4NMcDfmtG9pPkNznQthwrqhzPZEp+nb/CsZvyjhnhC5RqTGv7nN7OnnKEVlcJnkiEV8LfWVZuMMX/EnMKwr2TRx5q8lKkG5XvFfQXbCqc7dlqgHlTseGpE/rOk7ynVv35BPrwcMsqhmNixncBOU1xsMXBwcJ/IUgQeRe6FfCJIq9m4ga0kis5XwueaXpBblsB9wSXBp2eV/baHlJvL0cZxezipVX05EnxSIamh7whtorngxKPrBv+ZHncLJ9fkHamUlzinrfDsziRvcY7vgGXXC3nnYhscnapXBcQxK9Tsky4LycJOnVPwgftfQeiP+D9NrVW86mdGb4LZYONNU+I4S9XPzWvmlxhI/RwitgP15G4fuBo00J1v/dz6laq73f4I8ygfFzTH0cvxLH+JIUXY3P5LKvBYTlOPg48r97HgYNJdy4xr40CtVviArnfV76MPkYLoulSjYytM1+MVgcS3c6RcR+VDHOQ1lCqvzc76p/jb14fTxvbc6ldzQvtGpM/71LzW2C81K/lFxbxvjGPFKcVgAn/3eNjwSyKJRqz5Gelas+p7THJ+pXLFrxemNLKAmZj6prx0ZAlH81ZIMGjCwLZqvpSKA8VSIgf8sXQAdRBRRK0fEZ/O7YP6hL8lMNvqIjzcV9cVljlm9FVrZTIvOUrqxR457t1Wu+Iae2kMzmgiuiE2TldSenrhbHfaPTMXEpU8HYVOOs6drssqy2mvVj0K4jYDkWxRkAxOub083nRqSSaynqGjFrK2ifqy4eWVE0G/l5MH8FjYhqbZP2tB0UDjIO1PgyqK5km8Rf4u3PJmC3GnPp65O6KCxtoCb9oLN7UuxVsssLvGz496g6oCMF7/Mt+OC/cowml4pZn3sUNKiZg4khV/Abee5+XCoUShpWECVfaBDNoeIrYj9LIkL8Cv8mRyJM4w8iwyxczfDSj09nl0cIJ7CHSNV4+Gs5ssVH11U/tdBzqqwrIER0k+g1cAnvqoidBl60e1hphfGPT5Mwb72kFuFKC34h3goUoN4Fi06Q+UpAtW0h/Y6Ddw9pXozhSxsCNkBWJ7NY7xrLLxPXpmS4NQlQJJWw9FVlgmJCvDVwrjGIR7lIZurQl2snQwa1NjhSRt+TViBozLRPQ+eWURfMOAySGcjuvNL6IcfsQ2GYYQDOQG+cqYXsQOO4+EIGUnF0VBTZwsOAggEmbg1Gz1HuJaannf9KIbvQQq8lUc/1CTbmtfwMn4NXymHjYtLm+5sV9e4B+ADf2J0j170fGn+B6t7pgOFHbK6HLFtSUwhR3TjsEGLSaOxWLbAKZiq+U/BKh+TPufokqyX1fpYrLipUOi8vSkA7TZD8jIwX/5eaIoCBoSCQPua1pnO+XBeQaXQcshwGWloJHH9X6UDHgOvpUL9/eBJpTTwgtZG7JG1oSu5TA5LF3mH3BlVUhtQE/gYJSXy0SZjRzLynUCHlZcD+qTIX4a3/Id4oBOyEOL14A1ycGrVsuggs/gMig5pIF5RbiWXjG60g7oG1zUKMMkaZ1E/FotmQvZ1pjNoZcoUEc7oQTT2LnJZlvNihQRIRqPIg0L6mVYpQaTF8m4tRfEovH8AaA1//oYuZrNqPOS04mssfZYp6cMgqcNLoteWeOUW7d2lWMO3oKW72Tl5bv+dS4euQuTC7bxaAOV/jpXunQGgkhwW+BYUchhqXk+r8aTN28JbnYnV7K0wiX2vK84TMAk8nn65+ZuhkRC4a2ZdIYI4u/W1t0li6V9B7L00QnzVsu6mPxN2kF9B7W/9JjvZ6oKC339Hhbk3IM5yCiFHWyKUGXz8m26tFBnY8vslq1pbf9bcerPTfnHEbzi/3UMJjyPvymIklAGSqgEnEgUtxSl4tUVkc2T+TEep9fyny8zZOyoITr+xmPl777MofJXhD6Z2/8rcn7mSAqxhZmzDxRYkhtimlDrTZojUYgISuyJ3yKkLQ9Zm/UR/FxSOJE0n85Is5szuPhOGc7myE8WY2e/Pp658X78/v0lJ+UcdlnK4rucQWt0FGL/DoY1CKHxzCwq2ir+oHf45Ua2D4v02eeh9RMQt2vz0pfPYT6ITMOnoXxeA9SSq22nCG7wJY1LQqGloc3+/C/51GptSy7Ea+Cjf/H4T7EuaXM/RaY9nTx+B29mb1q+WZkB+/bO8IaCGDgMggYeX2B0wN9fiMOt/lEd0v+zMSnHx7DhDAkZechapX04lSjIj4QIOiFf/SXC2NeqbUUcbumCuxpq9KJ3xX6MMwNsWfUTZO6TIYyppFMObrv0tf8AypQz/USEfQh1PUvdetSH93Fa3AaFJb5r6nj4XnGDA10YXuKKOanvaFyVGvhBNMUEenVbllTQAmJ3/gV5KcAhXsgNpHzpStMx8aGff4Zb7Vycuyo97gBLkIjJ5cM4cuc/1axSU7/cR/V1vidCb3We/uYlo2lkVh9+PC2xWb/hwuA2OFYJ4UTM9zOIeETsA6NV1W0dP//O2yFJsqclY87HRIXxVyT7d3N7bra7M+lPMdo6pP06m5dN0wjyUdtwZl2bXl8XF/B5xucqTXcn8fT9IENQd0K8+hqZE5jjxtCpL8kv9sBJAY6YsN9DA08rYwLOyBWzCAYPT6JMvLVMjB++d/iezKUhMhGx1qjCbt0qwovKivBP7vHHT9tLFgDK4DfyrfJYmczUkhD98NwhXpCKJlh2NlfunGoYYgnT0NkSkKvjGFVWH3d2pu9vudV8ztqMsm6Owt+3GkpI4AAX5zle29da4Zlo7TDV6rlrhLJZZFP6A0GoOYT9eWmwSKFMOLxO2ZtQ9n9mrK+ZrXX6py5OKo5zb50Ye3WYDv1E8kpye4Rym8x/UhYKbpgDxEeu/9a/LAWkd3TG6f+u7QF2E2WeyBqUbAptl3fsfGaR3DMK8mo5BhQnwnICLJUSqCumCBQuCZqAVohEKG/PyXXhNkpvODAT+T8hlSHeshh96J4c6sOvlWL9xddW7P8kpSQWs7Mcy9wVBT3JsZuVstUtDnXnlC3GHU5rXxOfkY+1ylO3AoHvWJdVzVyPO0IjVA4wXQIjeZ8mJ2ak0I4lzsrDhBG7hoiLMMjq2LE20DBbmzDcU5XsyQxt3SBU7/rWeX+D+7dsW4kpVVokk3TLQgCrLTJl7wvUuZ5dLQ/NymlYeD6w/K+y/RSH2QwrdZkcdVD4udR2un12fm7/QsUafKY0R6XqOl6/StvykAwRIMhcr8hjvG6E4VpGAEV7LZ4BmBTzNst2xQiDORJl3m7YArm+1AMxPGKqtQFrxco12KB5BMnPaMT4cYb6+hun4Y8/b+DzCmXDeiJUF1OWu5kcJieJu+lCmWt6UcK4Vb9VWc9gclj9K2OiRpiMEYVlu2kbsvfn5DoZl/9uY6xjDf/HcL0hsPXxnmGYRPcxajGe1ugrZ1q4zhTToggRNnfhG7nCLEAA54tgqezCA+PvQJX6B8o7r+IzG1/eN9m1s9G/7Me49cd3T60aDF8VEKDdX8w7+7Lplf1XZ9jj/j5iKXvNqekxqjDmndWsI7tZK8kBhYndsxp22jGgA1BeyWu68s4appvsl/t6snOZYCCPHWbzY3FtaP8QXLZK2Y/rDmWYqt+ZkiaMUoLmempvUPHoaBj6o9kUkGMQ+i8y/dEMwdHROB1dvx1l4uFh0NY3C+bz8wEcFo7nflcLopZrl8E1/0IU9UL8y8f9bmJH+udCAZfEqxiWguvPf7pr8n8ppHGKo/kf/IV7dbtbIkeiq8pLf3a5wEAF5nOrM5/fABqZ1dVgoJhHMwyim269NJttUF7qM8PpuBbVAgNbvsaQA7QR2hpqXlJFT338OoszRq+I0Vuc6/1aS9mRts+0dI88RO5hFZhMRUVrD92ZQccwoQhRL8SffAs0P/rH3j2uHbQV3bjkSGhl7XkGnuBeXSRoTbfqsovAxTRORjkxD1MMXAoromT3nT8pxvAgHBM5zhArZUSbpxzlf83JmIJxAhQi5BCW494wL76AiPr+DBFxIuRPzU52mign8qzPkUO6YzuMjNY6ZUTY7/ZJXbot4vkfVfo//KenAnl4EM4LnJr2/2MVjqwK7+nbXedoyxFsxYQNUbkpnh61wyeTcI2Y+9uuEa3r2bmUI3jJqerwQYsN9aub+UDoXuzDQd8XwzG6UZw9d5gB/Pr1BDrurHULjXLStMHvKTKq27ZDwcC9Oi/OUOzYpmPJ75TfMVvEZjBFSYGCkPUKvY6Jt+vacaZuz2640iJH2lQPp1/jmSNTgP7ir+tx9kuHGD8xWf16Ag3P+e0CHQ/pfmvoX4eaIvcx+sgtznWJdu+G6XUWnI6upP6Ejl6DyXhTh6epZCtk26czRxqGjl2LxGno0slNTDxACUHnEUjjGp/z4sign0RETLkmNMYdR40sfJVOE+PMpwQZHtA8pEftxBs/3KBOEGnGzkOFHy4Euo7kdU7lUKeLso4CHAIz9CEQAh4gFpt7+IKeP3PoMJPj1bO4YrhDgS54Haw6eakrctRqMPU4xtPKCMpnvg/ppFKyX6zPCa7UHl3J2ruHM0wNUFJZvRlZdZ7ZwD0r2TPb2YOYOMfHGNb+dJzurqpz51qITkiG2FTOy91qqq8PlcBhMzXWQBnVbduuo+YRceeUFbq9xlfZvNs35juNrQW7VQMqvvTiEQtaM0G6OM0Nau8/uJwcMxGZQ9FqUPoCLhrg3h5kUZivoFZCGAEGX/Aj1JvukbJ4R3MbVYBw2XD52yObvLqZkuInKocP5dATx6/p2oP/jssMQ56gXkUNhDAXHkhR4JIj4MHWRNuUNone1/7d1b/9gk+VlMwEhdPWKLZuCeUH7917hAGmKS0kBiNhhcvDgItrVPyYnL3ciWl463kMa0xYjIUpsNVp+DM/7qrW6/Gcnz6/ZU4EXrypQJirTp43ZwKzi1kg0DhXUQp1cSej02xi7W6FzMAtbnLI9yZWWyxESiup+v+azQc5WlRrFB8XGeV8ntbDpKZ58ly6oxFS73PDdrnsRV45zeDPC/ohpHk5r1/RYQ2rgZ3KFkRFC1BeG4dPc4VLSO/JRIIO8n5B9iK8nyEER6i1Bo0fsTUscCvOaX/n7XYOvjUwrJXopzFQaxEcSTgS95364BqZ4hlvb3/b2Vhdinz8fhKT9yl4QKXo0+PTj4o2UMCN614cyT5iXOg5TsE9K6Kb//Q3dBqicjr9DSfwXxs8OF2xagfKxAvLH1R88sZZbYe+/H4hjiToXlF0Uzjo0S9gMl7SEeljTdopyYIdnQaBcKgXdYYtWqhYqAhb5ERt2ASVJdCucMCSrKSdPtb2yFKcjg6ODzLx8HBo1+6U6ZTpvPeaYwPt3A3V4oiterDzKxpu+Kl6uHpVuCEuu2Z0QU2ldXtQC46E3MScRTNQLUac/tXqzp+p+ICrNacV+uZmSuG+jv1eKLkWj0pjqc5cmNGQ0QiFR+BImWLL1iwwcNs7veSN5rmWYt20zkr6q3vCLSkFQyc4IJUap6EdNXMUvLl5b+/rtxZQswaQGkmTNJp2QsgBUF8CJIPZDCbHmU4TLP+jqQaSSikwRwBRUFQ7I+JivYlEyJQJJpeKGGMkCoz0/fV0X0pDS0MKkvohU8bEWv0vfX1wG4WBMnlDkAg7gIiOpuxr/8FAliXsWcrZtRjmQIRTjx6dIkAcJCUKj0JeyBSL4xSHckvT6s2JStp0lqyfhPISfo1V6EiPBVKrXGryS6iOKB1407okE67seajhjQhEM/Kli6SH8TW3sHZoAaEMYS2jSI8UE4oJEOJvCSqoXdTbYIyr+nZTToEpMb3gC2l4OE+vZeK78uuykmjdv+SvMIR9WF9sd1LU640RLneGyiVR+1GT/PTpHTy+vJoKJygrE+3FlyuS+urvG83dx2vkJr1bJj5PeoGUH4GsSCFarbnxl0qhn0rhLymQQDD1q30irrsSF1SzLdV56bR+37zXKio2+iOLZwNb6KcehkEfqvlJvN+JWW83ULonvy8OaXXRCxuLuZParVuoWSlpZpKTrtr3dtoEV8ohQb/ixxzelQ2sYinWVW6gLSv1fbr3LyXzY0r03NIFN6i4RW/CTUk08V8L8EwS3Ips6itUSLsSO6W+1wjBWisxIbYd9+rzcaSGFRoZ0d7YXZeQOFXjdfxx8kYcdlsXzD8nwMY1hi6ODNav5KLro73qDF8JJWWis8N4p5nBKwvIKagErbnUEmtmWIUpLsIUVx7GItZE1a0eBjICNJUwuWYYUdNjpcYgy6S/TApXfCETRsr423GEll4xqeQLm9YxA49Ar5EhZBrsWdSWyzkmstoiD/iAkRELTp1rbXEhhxUjSOQC3yhbyi4RWLBAqnKjZaEIi0VcBMRW9d6EgnigiLBaRlbgOOV4/YK5ik0cnySEDosZOKV+OqPeJCP/X2GnmH5LSutKzI2KkDRI/Yel2D+EMXoCK537we0GU7RAgCfNzXC6PjdRilO/aiKPsvR7IATPf/XM7jjrwo12nHK8pAml4uwv4qzxtkp9iwWnzDU33aCg4wtJCO5FDkVc4J3bcsKBrx8lQ0geF3ctrH+6B4G3xVqbrI7Ize7T3XQGXNkvgSYmDHezUGp5NUYqa925Q3mXFVS5kxu24ooqr6Qlgxevqx72JPYV4QnmZpqz2z1tDL7gfJ5mOnLtWPexa0dM+i0U6etUHYRguNOodNd0Lbs636le88Dw/usu+9tvF9Fyx6zSerX7Rf7QcqUp3eShbAseORVR/d/fjXVtnZVUtvSFlf7FiLMn3or2ol56LEfjfCXtq41qPKEqwxJWulZDGQ/Arf7chQqYMq7HqMvIpQUFOG2ud4EXU5dwmEwKICitE89+8fVDHoXX4OrPLxYa6eesijeJ9JCcZUujrokCqTS5UVosfcjCzorQhtfG+Cj1NVxDjVBcJOZNnMlIf6WUVrBkclsho47H1+oqHpxBpr0s/O21+NqNYCIIwu77BXYTA2S4QiVwBxTPiZcK3Ybx1WlRRPnvj1UFSODrZYRyAnLsJAKax28HsAOKd0NJbALJh7NgK01V7kcop0/fbWhgm0kY5Bav2ZecGa6gd33AUL9wQSQTR0bPzuXY2hHcKoxLXJGsaw/oNERoVwTo2pMTV8QJrTjluKd1joprort07QSo7hsIEolwZOHZuTykP3E5Q8L1y6p/Xw+iuAqOlmAgkYm8C8VcetSAr7lBt3wpKL4QNLNYqmXAyccrUxXWhHrXmU6WKQv5Z/mpOHmwsBql4GIxTCh7Brl9DJGLEnDk67ky9yAZrzz2TnCCwWkpyMUpx6saUCruFyKG4KQgVSh8o7TIqiI52aZIdbpr+4On+KHsahCzdFqG4khuLf+QoDpqaTIxvq/jP09K1yzMUCSEG77p+CiqQ4OTXV8U6x81fwsrjec4ARlifRlfovAXZwdRzEgkCaYfJFDeeUe7l8eAsMGXBw+HtualaRamo5BUigDOFRi5dEk+w2eiAQOH9XkGd4j+17foZqsIflr1Dn0HX6P4aj0YWgeqia1p3Pp+0mG9nMOAIMDgcBNcJMArMwXkgDoU82hFg3cLzojBSrbURwyxiEQgPGYOvg4KFAXgujn4mBAQiSxI7CNjg5WCOuTNL7aEjHz6KdbJ429BMr+ViweerNn1svVlJaR5ic/Yngz4xyhZaD2nitSHqLorgVtJLz9cil96ag2cehRGPsk/dl35YpVQoTgr021RcFMsdRKZT36xf35FriCnyDk6JN+pGZT9TAwJ3sqC4rUeMmESigmQEUjqiUCBdWlZDiFUnq8Mz16cKRQ/F/pkTTqBBXsRh3972a8VcwE4JAwMUElDWHRUOJbBcwqD8175IVhyZ0nIuNA/Oib064qMJ06m37YD655PfhOZI6bEI/R3KP+PmL+XKR4oE0+0sV54MxXfGx8qAr4N+PIDSm6rISiQoeYReR4B38NrbeXzQCOPj+xfubKgdr+XIw2xTPsl8GLVnLfZfr0ByE+wKEfoc3mfa99lSr4iDiegjMj1bB+YmcR4Q7gdr/LnHEMeJkWJK7+gBRHhl3IF+qytrHFZ4hdRRI50WyR7FjUiwXOL6o9T8GiZunRLt6pUj/cSub4/wz7jIk/Lj093UCAHZCQHXCPVXrwUwcCDcEYeg/9OwPcpRZSMaYTbgGEEnACFCgFBh+d8fzCyK7ILCgvDX20gK6MHYwYhG+WCr7+Ewotpa+to7+jo7IZUZEGd6xttR0eYbntnp+zkRQGfIOR1fFPo5AkJDF88KRNpZde4ttYVHAIyK9dmQRD8+x6JQWrJb4zMDc8+lN9TafXlaCBo7vHWh0Rd+umebP62eNmAo+zXv+uydrlsAiKXsPWQ7cQeI6eDHuk2M0pc+dyK1+Dtv+78hfNxt6QIbZxLeAQRDu8zb9UuukG20bbAta4EZLGfJNzunG+Iy4jaswb1KRWh4e2uOxOd4noLcUNpW01p9MfNcjFbLJoXCwnkr7Hu2Czf/IxvFLRiFmrWcvORxsjeCDdiQWR+RKj/J5oeSa3yvNOi13Dd35dVN3hruZPaLVuYxKy0jCyH0Jw+weVbjFROeXR6e4MtJiqkjHZTslZeHsrSyRy6wyS+gpyZlqH+GQSSKsvHsprJvfSPiIkHW+9IZDPKGFWdjBp3W0zg9E9Sl/NpBT+EnA0N2xAY9qxPYyd41sjjxxrq69ZC9h/eCVofHnw5POhIaOAzmvyCtiyD4M0Q/Dsy7EntM3tGtPYTISEHblw9eY3LinBrzkUDEsQq2HE9J3u3m1Aw5l4/bHwzMHW+peSHeEjnzqCFvw5Dph5igyTcYCGH8Nl3NS6SeOrKetGy1SGl6kz3gc84wohMovubO0TI92d0reVUoppd9KTK+H1Uq7NbrqG19xg0jbzb2RpFzsoFlelUSwY7cz8JD0A3Qq37Pjeurjrqdi3OS9C1tLz1JkVJ6tqwaEF8ecqylxdaE7u7TYmN8yy01GxGE0SzqhbmiRw7TcXYs/RatNxGSPp1GW3jgpb5uvPkrFtvcbAkJwbohX/8YQ2ZHRC8LR/flSLZvqZdJmTleb/1Pv5jU/aA9MDAeGD2v5d3awxpW+y33ZcfGW+KM0MgPjA90B4wNYpIDPH25ExqFMn/SEiFNYlPeDO/1kKKosIkIbzPokMcVfLmOzKqGdXzWap5VUxLP5KgQ0L9yWuK83B6/f8EEqTs5ZEDiddXhvgA7caQfzxS4kkCKYjTEiWgE2iF6A/WIWNM2CocOX9a6+Oju6Rs26S2n965S96lgjs2K+2jR/NyNm0MSe++23imFXzZCigLOWEZB4radHv6mPvXiNq3aAYdxcIsBZWel3uUKe7Y9lHxL+X8nMl+8zq/seXSKaViagNHWuvMXQN3P8AVFxX4/bjS/NG2iuNkvAT+vFyVeQuIBa4V6YGfl8IlOB1dsTNSiP9a+vvpV7mOq+lXroXjSMw1yjWoH0L2iyGk2iLFfjz6ajSWRvCsNX78Ni43yvFHzDPz5Bs0nECjBB9UHhs9vmdaeTCYQiPgAj8NVaKE8cQ88DP+4VLy1ED+Y0loRHumEgJQLhXRtnrGBiBnhT5902EI5Ypm5A67JHBKKoVICCMv25WLmLqK21cuGKyLt4GNvasWE6HhjRChnFx7lpHvb+AXm9TQrKJMQ0ZXm7haDTcf1PRW+B+SmwpcCZwDEfupQidPP2xqJ2aSt06swlmu6moWvmpiK5mYaWof1vOcQur+iANIle6VI5hVTk3XVtLSkzPaM9KTV9KuNRW76OYkie7/CTN63uRGR0E779GQpXjuFehPiHZvJ0Qb+DpZo9/6UW+QoLrR6cUsdEa+pOp9ioWENcxzkWIidOlSy++zDRzCxM+hBZADQyiW96uWaCdQ1uLp0ToIIY72JI93T5GgmJhVOFIAA/mHXAJOANJNxTzXRRAIkQftxtI3TTXZrQ3mxW8YeO78Tp+W0iRaDZEliKAZYjLbQg2DZCgQXHTxijdJAQEncOUfAoLXK9/LY1GI+oA+39L6ZaqzLWdVy+p9SwP6iHoKi7dX7vUif0XhUT+UZSP463n7TwH8oA/lxpBul6vn5IoPHpApU1t75UhEV2//GQ/aqZIq+aI2jhG5ueanQz++wWBeCLWtCqGDHQL1VzRFnrtvSK9efcskXD9+K7+K7TP+OQl44bXCVLkU9g9/JuDKU4VrYS8gfT7u64/Gov6+4x8jEA0zIFKFl9LGOj9ho7LZVNsE6zylzcuAmP7kLEEtP5uHfDyOpD7w1flSrn/THmRYmqOFEbpOJoVaRObIdHQE1uYsvSD007YAZBH03VxevEs+6Sv8LopAfuBioix24pyGA8G+HxXi1YuWFn7kC0MczbkZH19ZotzP54FPQja/5C25CR8/yqZjqJ8E/fuHN+1HXaBWTguterePP0ohHtApYMbQ0dgvt2mQiZFElMFl8Kd+qUxEWWd/v2bWMZgQg/VGFPfDwy+DBh7qBdm+pgacCLW+Q2O0QsdZpF402qWH7QQWGoFwDKdNl+WrIMKqJRkqZTWvCJUeCu/6W04k05lO3cMfsms5CF/uoXC5anOC5RhV9ZlDh32dtCPOJ04cOxOhDUj5nT/cGPY3j2H1070P/joHvUMifkGwkzPD35gXdY7LUvPNIWKjNkLr4Z1xb3cSSBrakr8Wvjx/wJXrLPYxXzbTd9JjNRG+yOdiuQpG6Zoqpl3omwRF2MvYmrm4vKbIUQ/t+gUBgvHGeMIVvqyzs3bUwEkUzUuwG89Wh+PqS/4N1QVmerne9P63c1/Uo3C1PCMNHHsv+E/fzHI1HeLGPtTxLvxz+WiXYiogFFSe09BS/vURyRo4lqjsUIM7f6tsRQCJQYEdaYLEHDOok7uc8qi15wV9t37RR4a8zU3/DTJUcRIwQQA89ex7FyWcZWSngdiZPLOPOSuAJwpO86lQrJn1tPrULgdrd6mUvGoOv11lD7C9YOvv++nt3d7yitRppLwpPABruZVkXf0SF2u7Rs8hkBC9f1ZFd2St57iFfozAYZFCki0DMTHDUSTfpdkNLbHukCJ9UfT/DTJlgbB4XVdD5GSE6QAufOpHV1udqAw0tDnFNpC4FPmRQsqHhyAiIFjg0vwAdSDs6dwsCQ4SuRcdHH7sL37mz9ql+Og+S0ucKvBPlrDc2hCtm4PJtet9okNZZ+duhMempSfmx5l6WuySlSTSNUSgNcZUF+wikmty2/GJeQjxktuI7vn9o6xoGunTJkgiHaAZTKMExmUysUEbT0aWfdb9TUDaUE2ihrLlIZk+Z4BIEOy/NWUhCb3jZjxLSwLpoVX14DjQvFQBHweOVZmVNEoiC9bjUeHPIPglrJgK6ysnfSPXOjOopPxiRYzMJF/c0teooK5zllDJLdFKFNa6hUOilVnJd0IkurXZ5TRSPsqG9bhb/Q0EZ9VHikIH/mlfyvfBPjOT9Zlp8mqYVyNnx+xAqfzNEYmDApb1pCZjN5fbpUhPuBjqrwPGNnE6KrTuBLuaivitrp1OVOsyYLndPQWCmyzmzQJBdw+Wq8+VY86dLtSVYIn9aycAsrX0pWy+JRrL5vZ28LIgIazUynKHcrNF2YvbnCgh2sJnL6WzvFWKFPt2UFZ+EhV0gbLy7an2SoUX6P9GS3buBGGEWAPfrYXoM5wAucuA5nQudvP4ZAgholyjzMBx8zoXozmGGn6v1g+v2LUDFABmRrOVKhWpFstL+e0C+UJlBStsT7FXIS9rSAed4EQXt4myVRxaYxIvq7cjm4tFW0ASYQJpHQTuQyCMkGxnZ4/Y9Z37+AB95IDsFkW2MLqkTZjdTaMuTp4NwVcrP84NlVW60ZK2LBRjTJHvHar9M3H4FvUNCvWTEnMXLFpQPjncceGQNTndML1ufLCewQJMxKX5cq5HChMIBJ0qX2E/4xpyaXJRjLaAlVGps4+RqEH7rDKTJzP+b5Bc9U1EPvRO5bZhTTWZ+ROTvrguglCSFUW5vKRRbP777Ik4PkwqzLn4XWZCvcUgcyEoF9mlSyvPYC2gYWiuxjXkOqOwA/0U8wWDXC37eq5bCsNEgk6dr7D1uYUMNdkJZ8iU7++jgz+IQ5vqwSmOoOKiZ2zZlJbChBjElG/oH3LU+99TyAdzEmpSiq3fPzTM59we61ld52NewIEh0ug+TNAFjOf/+jo/HRflXM5OjEG2Scf+f9dggUpdPID6SUBvo7K5bQcho7YFkCKyNL+ckQlzruYkxMF+vuhAsbROh+fge867GBHhQUa5S77B4RhvNWtRvqU+sFEQav968ywolf0seHnzbyE2QWNgvYVPYnW1ESil1ls3QjyEyJ2Rfy+NBmdnweavQ+0VdcJPyVASbGObMuRDXB2RROK9y/nuOSgAuQLDt8+1ezESiajjDslzYFRp62KROtz2Q2y/bX75EKjnC4B+rq04wCsnhob+tKSDK7DFQcjo4w3b7CBNJ+CjxU2g6X5Nqus5HK1LtvbYs0bQfNhidXUAx6I99FFHoYDE7NqYvmqNfd0rtwPVgUGmJuGJkehS8NE72P6l25upyoCb8dufgO1RnEYOv13oJ4MUuoprHWPvlkEBmPIH+6X9VYbXyhjMzLT33y75QYkFQGXvjnUcfQTJ/ITtILWR0+Kwg20bHu8RijxabkeWoktPjDQJTUGE4vZaRUMDF9/YxSQJCh2j9D2LCunnDCe0qQl8MreG49JyOOsdG+43NYImcHQXUHED5DqDk0BEczrTcZ/JYyjRgB82WXPWW7bBGSqri+ayqjLgbZYbSEA/yLTB1Dk2WUq22yE8vyiKyF35ZFKcBc0yuUL7XvKLKOMrn79SwtIvSn5Pqxju+7Ro+hU8loeRaO/JQIV8ckVQUctwobSyd0WmLf58cVrkruxUoyWocHL48ZEGXDIdSiQQeZhLNsh5BS+aLm1XTJ88mGOaNKpPmfUxOWNnQMG/WgLRwy0C5Ufftmp1uQIur4BuqNJtugxWccCqy7e0b8npBTyuIFenPW+rPNWINlaeOm+7j3RPdq/Ex/ttS/mxUvdxkyQq5rRsduXsG/vzCkO7Z1cCsJn5E5PU3nEvIDe8rjCoXJm5ZQZjKOkixUZzD5PVE7XJMeb46MXYKCRzqAtt0/aXwIIPY043ghPU9SHh1lR96shZEuXs90K5RCr8V0BN4po9+RkIO7i1jtWxbIGOYwp8yVnsKumjOXkLJ402+X5RQ4EhO8lUYSnR/9D9pLfG5F/4OzRgygN9/2Mungs4i0lCLI87AbbO35YgomPt6RNR6goD6ToG+PGcBR9+qBWCnf8xcCayS5BFxGBPedDmxSOJ+9MUSGLQM0IOBw5JxjyqJeNkuoaB7NrF9ShelYy0eHhdX++ojNYHPkjOyMhYGLHMExo0bJ1cU0GosMLq9vA1ufN9llOqgLTd2wh50FO2byxMJECQui18HYjf4TOZNOlTcqD0wDm31TweO+62nnOXHNgU9TyyoPaMsQeGvtyqBpV/j7xxdgUNCuj3bYlCwW2gK5F2x0vpaEsdZu1lwL/+9lTgr+BXmNHrX1L5x33jUCdol77Zt8RTz9o+5Ft5EHTYDd5uTyvLnZ3nZnZIeQJ/Zqc7t7RokNK/sBE08HkCY3snqOw4noa21GOWVnl/efD4671UB2ijnjTofkBDEZutY5rOCVxfj5+yz0DW4mFTgJaK8nnIK72yC84y+gBsAl/TgJxXeIPQ+ZcvD5L5czz/Yujx8+c9wa5iP95xPtLve341zyvg3FXf5VB5i4uQwr7Mx34H1HvyqpquxTXl1QvzWS/41Vf/bhxrj3E9Vm3Jy9uS+6G4XfT5NQFJN2NYMJMEQ/Lx1xQ9gGsGjVcaLkP2IhI5j0zNrdtS+xfNBJSmfs+5GMnIr6bYrYAzN1u2Mq26VEwNUpIS2oU+A2VscxlCQmLMKW47c47HdUGBgWNKNrurIP278IKEzBzpdU1GSxXXXmT0cgylhSaahly+CNHThEZnUmpigWRAIBxrYPrMgAenvCEH6hf9XJ9f4xWqJfb/7LGccrJQImK5+7wldTnh93dnl057OPsqEKHzweY48A6eWVL4ghbS4vTXu+qhzA+tGRbmV5yojOg/hr/cO4DFuwy7BPyqzHBVBFdXz3E3PVxyjmywF2M+zvqdSYB4PF5gY9waF4dEvUqB4H00JBpYskd26h3/yn4A9Mt0eDPY0Fj8wQdfTPGwTcRP7xM7BJx9M5AVM+vaiNhe8e074k0ofwqUs1mAiUBeFpM7wj5fNyKJUiflCmmbzch/sY2e89G1Qc5/uT1AHw2RIBbwGaFB0bXruJaVUZtpwtwkdZ353uPXMwLaOEFbrkg0YDAFgsTl3WEmXxva+6pb6IIgHDST2VlXtgQN8c5fIJVn6Zt99EtsEZ11pAvneWBtSZoFzM86XPjdywWC7PJahBmU3/Fki2Iet9YsckQmV4j3gxML/UnQACva39beTinB3or6/CT/ljVnniYO6eqL4MvqpZJF+WkxjRvne+xw+ERbeMIZkOelXsVKq1ZYKC+okenYN3PXn4cb3R5HD4N6kEkva1ibH+WbUep+xH/qahx1IFVDPcy1pldlcYjGyKJvd++UBkvTSlwU/dkooiCsJKjkTlgA3/hPWEEWkRFj7V9JZW8DeX9Rr6KiBUx9TYGNdA0atoUbj+huTU5fXEesy2HEZCdescE9DMppJi01ufqxKdSaE129Uxc49dXtc+a9zJjshCsEtUS/yPeXkHoEEUqDr8XFG2T1FSy05BrI8ww9ZLRdxzLHHuiqGcLw7CaP22e4uTg6IySjRB7lDL+O+RDqmcSoq5L0FSpbMllSGj1n9AmoZFofM31Zh2l0vsZ/G7HcaPIbTiyJTgteVqqoUS24InYMwrNVrD46ehlov+KzYNHI7LI2d5foUnjEpQ0cKJfNjjAZEJOo15i0q+QDzQPYLT//WwBApuq16KI5rK1bx3TStNNhI52C9jzWEsEsWlWxuh1KRYdPweHToM8xIymgtN65Rp4gxjCYUuQLSWhHU7WsusE9vkNzSOtJMKCTsKZQ8cn2UM3ldsY1yhp0SxN7k+oi51mMfnyzpX4fpYFPfWcTCeH5q0Z10Un+thIUKwbLRSw2kzES7dgJlth4dSM+R2CDZ39eJZeHDhHEpLqmXJtzdbO553CJDlflaGREJpfBI59kTvK3ireLt5nryEWgzezEfYcMuUVQ3sHkMBk95guEIAZSqicpGANiIuPGfMdBMqCDLrbG6oJ8DoJ/HUw5g1bCr883ZyQtlQRcm/skTXm4hEZHGb56iu1idYdE6G6AKnuKo+ipXANd8TmW8eqDRj2okIogJsCND169gcRBXQtpwjiSygtwm5iSIHxd78tA6U1qvBhz+314gVALVPw9ctZUG+Mrj8b7vvI0PsfACdBqwizcpiq+4WK4tITrGukuZPSfAMcNdGo++Y9yOEPVcrvUfGfxxDHwZRNj5yqfBY6QkPoW89yuzHZOx5lDpo6dAK1GXkPtRUh4jprUcKto6DvP6CcFYfkkBPMNaNVoE3zj68Yj6DhFkDTU0bNy+/n4+HSMb1OtxXGZy2kZtVl5HqEhh2ezjqZhfLsN2EcvcgVdwGa320DDON6/eBJAfOtNEiLwD9wTHZsicZWi/AI90Af2l3EEtosiI8iXyFoxsbgk/98iXwWGWLS5L1CfCgrC8hFSpVxFqQsNpAMF/CcFAr5Nk58vXxwCg6LLKDYF+AIs612DQi5KDTmjngIE4p9giXFLyEiIgWT5reJ/9J17IDxrT/3r4LnLuxn8qD2j6MGDnI00tYrG2XD48Bj7hX+dO+iAS3SdX5Egg3tpk5toS0mdfl9ySDIZiTFWn/HRbLtcjlCXbBrtZVaLEZmcBMnaOqefS6UPHZha+3JeW5SZ4iH1XangHdpCG0D6EFp/ZbKs0qzExc2ZkRvhH7c21F+/XjfR2IDcV1iKlxgKrZa1ayOvWqH/VzcYqJ4NkFsVxrJygvcdTPe29WvXiLuzIhoWZSdOdSIUHVqpUzeWF+Bo2PrTJ0+eZumTPvqoCcXaiXxFsq8fV9j23bS2NUXe8h07cmR8cvbw5OjhV8anZl+2wNH/RGkfVKfoI4IXrATl2NTqnf7sNo09B/fQNDJPqP3tt02bIimwTLSIFjaNP1sctObp+K4zqT4DHix0Khrtvr2gnk//ok3blumPYINcGMyerOKtdHU39Vohn9JrHHZogdbZkcl8By8rNTczp+tJmwNCqusb45+/ByYlBv7xW+6jfYY//1R5m3l//altO+ip/qC22jM0ZDSsYDMHHH/Lf1GYBeTAL8GTCILqBKlYUEwaXu8Jtx6VU4nkNQh9ApouheDA/JBgiEC+TCFyNgx2GZM/yeMQKZfJBAhKP6B6qWyCjqwhE0D8nn8+hKrfB1D1B/DVVXyqUZN3ISP8/s3FeRq3hoMIugUnUZIMOlh5bZFfZkTBxSoZSbAodjQJ+vAjuOoDiHG0rjAMOGINltfvXrX8daenEoonivekAQXjthDqt+AvAuC/z8+op95YfptIYHKEIglruaYz5gVekPz5sqpcvupt9gVL9S03Dt7/Xn1m7JMChuaJ+jcALVQ+aSDNh4cz+95VcAWUNzPZbMbbsbbX9y29m/zHYb+B5rveDTYClc1msr/q2PK1X63RVNvKfLU0Nu0rYCwJRJgyny/G9mg1dhm4xmYoGKTA4m2nTytdesZl9fKhraAYFPIpKuhy8kfWmF6U2RO9cy2BT8SKf3J5yyddLhCzdh/pmPA4qDkGwGOmKGkuEM2Wqufmt6EhjuiHz1yLf4avgnt7dUIekU/YuTY61Ean2DpsV5Hp17QgCSx7UotteV1pXbhaIxwTFq4D/kzmi7wNm3elvLegQUZLJJNXB3pwJ2d15xtrO5dnjNKzkwqT6M70jRvWd376UDB0JzGzgrusAT9gR5kYxTkVtPjTNXsPPBgJWco3r+Obgxc/8OvNPFwdsuTbAExxlhMoaRQdGzaUe8ioUBsUrBWiZE85bGDr5D/95IbF/UVMSfeRCC5CSUuwXMhNRXY9llgqzrH4h/wM5oK1dc6RKFuu29p7uR/0TujNvtoKts7UsOm39+wJqc7EAbmY7kxOD5wfWa0fvRS6AuN3hlwayE7dOh+YnE53iuXe09rk1CIrG3EEOu0Zr/3W+/76nd81Z+J1Xm9dQoizXC1JLTD0Z0RnrLGmBLWCEx+4EM57f8bY69cPN1YloJgqx4G5Voz9z9e4XpPeDjWsW+nlXlbmC2nCfOVl7vltvbdPLFK2BezEFHAAgBafm1m7Ndq9f13PWSt05MWCHRNLze49K4GhMyehku1LMy+syHEtLKdZiIJKZwK0BpIrVtUT5CRztdelr5kycmoUiwhkan3yKXa9clrp/jyv3mpJq1vwCy9+Ciy7+HpYckbqSZGwKCEbLxjJXQF8E7CvsMBNHFEatq6DFJ8ppyfDKjC6AYbeyWuie/wBfpMrgRkJGBECXbG9iYZjJVhfPyqIe0JiJKJvQIqvG4XHSrB9MxhEOz8FPVpSpwGTU1Cdpl4DctaQqmMFTDqBHI/yn1wM60AYCWh8kpl76uJknOhPhG7nGQwdQ5w7emlaEiGK+2fwUI4KMxo8FHo8VsZj2KOSycdOrlANU6vgCJ0ZNeLbXSo0smm6MDIFfaSZD7s9c0D59/RUOvXtj+C3r9CYHAZvKKjyUcVTTsWTOu2iHdAQmP87l6efDCjwT9tKYEYysNa3Cq8zxHkGvwbfGkAZcib1VbcDxtaHO+PFOhAEXUuIdrDRD//4Zo/EbXv2+6ROnI7KynJ+yvdAnMFmpcFPBf6I7z6Oz4rme4MXr69HSnmveTk8R3HXrjItcHKIfjle11WDjZrpuU2mU6Nn7Un0JyQAQUelLJXrh2RbE9NHvYG/mj/QIWmERFyvAJvURkbqgnWRkfK9fIGXy6uFsmohXia1QdB6gtmcII923fqsMZRMRvfKX6lelODfMyGMvSdO8ZsEitzfP+Fe8x6BIWm9RFbf7EfogqjY4M8cLpUSTpjmLuzrwEsfNFaK+B0CLntRZVoSGcKSG7B47joDZlB4qEyxa19GvSgDMKkBXulNt2IElGme9BOwYFgXejJQQucbsK3ZEwmeOl1Wmp9tlhK4nJ5WlOMwJGhDBMRUj/ryImf7PzDnP1sMN+kpwh1JQYNDSVlAyVSYUMHXPCSAlTmo6FoaCRuylA+v+rX2/UkehQPwzPeDzbItkTK2HUxTOfW1JrZ1pOrwkc+O/oxgqmGlVr8V6e33rxeRnY25WwXjYSuvQPxmS6O9Ih04XDQOBQGLVdLEnoQ1xgwWRS5U39XXbdiQJcTBzGIr0dBmTi1GxLBcC+khaUFQ4a3ljVRGW5xgqdCESqLs18Ot3C/bim3fZSwzu0NHEbSPuwn0zH7rhLx/du/apQsLB/e0dZnRdw0+NXh95LMeQhlC5ipXZGhlvw7bgWp7K5FCZo6cclHd00cuQMYq2acyxv09C5zOLBvevYprPdtU/cnJNiRxACKmVH/pIkt/7oQp0eP0Ymc0CNOfU7uef+fiepFC5eiV1VxqoIKdSVlILDea121Xzgij8Pvh3rzUgGit2bN7qNXva43el0RNWApTHE1DwLVhApapRQQa7jUo85Ajw5L3UKuIQj2ePCIayVFiZ/fKvo9CtoE8rF8BUclYGX+nF7PbavrzbiDI/H5rw7PZa9pNJMPcdKyMjkD5ffczVjFJ3lhswlPmRu915w/+wl9tf7VYhNPj6xGIQU7oCHMotrIyod6uGkVlAbTjb6CDMHSEv390o4hLqOUtek6ld+UNspyGUqXR2+ot4RI5YqFP92EWLlCqpnAFJxKgWSurknrwzKizNlmuUutZlqUM1XO1gkQnUOwm2tUQ/2rpVogRtqIMvUbMLpQalthr7coscEgqc0mUs/Iw9+VkgqUL8muJ1T4iILm1GL+NW/fjZQQxlucAvE/2jfWned1n1cwGKVUIUiQJSQWJICjoPhf5Vxl5i0rE2NNxYVJN912Y3rNv44szFXzEvAPEt1ZI83SErIQBWHUl5RnCrbpqhOfB7KHWUYf7FCpYH6jf4jz+ooyMuU7Zn1djckMjwxTxITlEP75Du6mj2a+NKEClHqYsK2+JpZqpszxPQx9SVfEW/1oU/QoQfnNjDBw4Y7mKrgSxJgQgkxj/dImWvAnRvDr7qWaD81RICfDfz/JN4Safofv9f37DfumQGPQrP4jl9hsO6KNnKQOENOzCZguxgoVUfpsEohyRKmY5KDslgzL5bIS8JY7nVdlUZe55eRthcMRyHlnGgGn6hthY6bHYFJ+xhMjtQPHSGK+M4VRVIFOmogxGbWVBTPlGBhWrW4N8hCtJvw0uiOQpeTWk2bZnqIH4v7kUl8com5f/WWpJrrhZibi8BbUyetu1SEAq+ur0JjMXrNLKgrYMqaZ7UWqsDTmk8Lur3nNP0wfaM43UEwaACOuvSQIGKJ+l+gkEcEC9ml4COiAfL3Ughm8diiO81YHF+LdDtSSftZqog2VNlP6ubUM+6TvI5ckFdCpNBAnice98Hc1qE4QvSMsPypjJQjVyGuQ6CjKJGz1FxsE+7QXNaItWNOIpPW+wQRh8TGLflks+Nr4Oz+10SM/nilxWQ1XX4IgWAyrZrIlASYk2UC/1PF+OhKaiCfwUrq8VYSnpoM6RlFqKlXVpOhHPTLcCxdvPGSWY1p0KmysTNlnPSe7FAlj5GsNNZ15o+EdYwRFYylqyWWEdnhVbpTC2v9MxWcTlk6KSkm1WgqLWE8mC2cGR8rLIEjcJXh/qUO4BhdIRQRJJyauNSFgytENdYCTLBmExsqbf0FY2m6dWZHR9hjaeSsiD/ghUwTYXkSoJfrI2CKr5FhmmypotGFSOtiRaZBwmT1PkajuIESOvcbR5sZyy6HVztdx8tqq2eke1O+V63aNTxd545aKBy/05FFQ0dAxMLGwcAIRgBMVwBpPF5nB5fIFQJJZIZXKFUqXWaHWZ9h85mswWq83ucLrcHq/Pr6CorKKqpq6hqaWto6unb2BoZGxiamZuYWllbWNrZw8HG7bBjCHjPjPqJ2NW2+OMaXcddSzEPV+aimKYpbtRNemW7bjcHq/PD4AQjKAY3vFWeli3Tqvda6+TmMlic7g8vkAoEkukMrlCqVJrtDq9wWgyW6w2u6MtEl1uj7cffX4FRSXl9rG0iVVNXUNTS7sdMnX19Dsgx9CoiRi3iamZuYWllbWNrZ09TCCSyBQqjc5gstgcLo8vEIrEEqlM7uDo5Ozi6mbAoCErDFtplRGrrbHWOuttsNHoCzLuainvoICvErseiRptXatq27B2F6dc3Q3pEhrt+P4oCXneyP1GPWrMH++atM5l03fSbyitOYPOeV2XNxK9kIMhUBiyW7eR0AXLnenwJMJ+NOqmsF7W6fBb5HdPbZlO8zKF82wNW+7U2JsOhY3bp34/VrLF3F4Hp/DH+BYwb5xvAfOGCSd2l27SGbZpHI7g1GVILt2Dpx4A7A7PcjtqkJXOkllK/8A/jhW843jJOw5M7E99jsuu4f7REs2lvHJrgHbHc7pYP+AmLRNijo0uswZZ5w3Jzl/bkDCHbtqnavGGm+eNbS9cIcFO5GcAeWMat+RNutoSg9XXAAzNZBP72BSX3rczD4dwl2oym5gD0gt0rACv+Pnd0bN1e4NGMdk1hfe3xZHYorUCbu2V91b20umnyZfBkndu/Ib3W0TKIQ6KCALdbiyuE0FgK69fEsAbeV54dc5+0Q/ekXOVBOPUReAz5TuY7XAv1LhlyL1m4RIEO6zg0Gvxnt24xhBIFLcmcnheG8lThmh8bR22hgnhu2bI2nQZrF+4JBOwnL3mKzj1VhgcgUQ5Y7V4o2b67hfPdwSH9E9weR5eIfT/OeHglh66ewXk9YkuYP3F+MmaxcaIzOstg68NUtdndYAVpBYl9KAO9PgP+4AAzKcmjZyFl5P/d+fqZa2782OA6RCY55e/Pu/7M/pBg5rqxdeVXvn2Z8PiDsB2vwfnh6nWP3E//KLWIMT6EAAAAA==) 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) 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) 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) 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) 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) 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) 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aR05n5J/Q9qgFdY1MN6GpqzsnzhorWFs2kE4trnRq7Qxjs9UJW2BSO3iKxWbXWi8KmJTodzW3c60Z7s17Io2+J1kBmexgAINospmLDC7nyfhI8s4m7QogF4ATdL+UzAwdHRkdGlo8p9i37jNToo9v4YYnwCzfcujyzdK4PPnCboC05R6j9Zdkv4XIjk+6XfbUUISk4MjA3k60AS2eI+exLlldq8xrsJgCievUjSpAP/9TxhWO9sVj+8fOq5d03BNikjSVOjPSm8z9zQkr9zBd8QI+OW+/FIF84vbtSw2pL+orUogg6zbev0hV2lRmhCA41VSc2qxtcQ9cdlkF1122PY2Q6XJSCV8h0KmTVDFK43d7Vaf3EAR/v32HA+ecBDogGC5/swqxci4v+y+/wS8psV9crhoFJweKeiFlGpXrOuQ5DLWCoQxUEIHDq83OElaBML+tox9zwMOFYRSvDof0Tw489TiMaOxwJPYCeY7JUbqcC7Zis9cQ5rwIVqHiWK+4aA+xk4DXm3GgCrT/pdD5N0hnHu81q07FmoxGk1wuZTR2Uxl1SsJh66SWlkR6yfatT0uw5CiDl5Hble99LFYMS3FwvQYiGYBgpGO/eI2GeFCrhkf5zzgaEyNFtJb2nii6VWCgDEg1KCaLVvQEsrIwQ3RaG90iIDlBVP9s/IwAAz95yCyBASN3efm3wDBnue8DhzERd8FZ+r6GnqLeP04xgOCwYbJNs9lQqr0thXC+33SCmhxqfoaObCm6n0DbRzxHu4r2xbC58+ZM6gPbU5ckg8uEuab6hxCMsEKoNSRMQV1rBxPmzO/OJq+bmL/ZxBID4D95Pw8T6lZvFdEq68VdtQmGp+wo5+lT7ZULk1euD/OzOX75hdnjmgrlQkCdOxonQn89Sq4WZOvW2nrjBoQ2LWW6MbbXThpG0ANWpIzlV5k7XMM91WyfvUSleD1+svPSSaxER2al4ynLsAUgS9k8uZld6W71rRgDO/KVLjbJx2ft0D3o07uLefrn951hEyIhNfuCcW/IxB+8QlfZB9CvMPMV7moOOpCnTts1MfQNT14NcWlOvanSAXt7qRJ3lE0G8mXIVu92RHo2oajcg3/SqNHS2IGJoTPqjBuruRkbUP9kAwKRcPagOTWqqyEI3FNCpjzoqooscVdirr2ZZrB/dzgECCd14A3BCsWS0XzZKRYGDn3qX4znA95VzIyGEMW7/h0v9pY5mJ6lmU1Sz5ps0K3NUr3XFxrCnVhlTpbwk2ckCm1Tpo6qwxOe3U1b42EAPwQC1Uj4lO9rIqXypBkIgKucivvCDtwXlN2iRSJdDkQDHcZhFd9wGrJFLm+2XzXTOYOH226kyUN6QvUV7gn9Ao+AAlb0UdaLA8Qr6X8ORy/Vx01t0FP4HseE5WN25kqnDp7rulXKSnAwgQZWyPCKYVS1NCU4MVHKx/1rMLO64rH9OwgEhMBwGDQPVxceedy6R/JovGQ3w/1kEvfjMynIpLVVqMuByx3bfQc+5q7NuDjbix2t5Et7xsTdc0iwvdXdsplFLb1zaMKOstTVqHJMHiG055831k6DU/hPYcu6FlmehG2/8x42TU1/fOAb/u+7dOKN6mFSZ3VSPopPNvC5HstPkaGgBtzI7OiQdHdL8RgqomrAj0P7XgGwVIj4OIc4XKVhyAIStV5yaggUMNlhYcE/c8/ar7VfccxdLyui/SWWYpjK0sp2Vrtcx9iJ3BDVq9RGUr9U6TlF1fGSTtwU8ap9ZIwsHItmYiZHc6FLFWIEDIEF9NOqzHpW6rZSOqJBFAUC6fI6EcGOHANnfyMS7kiwg1cDiUBESlZGldKhe7k2HBV6icrouo6K2JYyvInGsl5MS2Y4f/CGV/YQj+1Y/6MSB7SaeWiHtyr05TAgV2uiUdCp9Pr2prNPIURHP03B4OxexuhoI4Gd+BiEURTy1p3alEOUFywdEXezlPvBjIql6yRSQP2FkxRtNWShjeWU/p4aVMhaG38J1NPTM0w8/wmLB4sFTmc1yz6P2R0W/IDl5m3p/mJDA9XexasjXd+woK2/4kovFLMWin2JR7GCxsQ/gNnrwWgFxl590N6n6pnws67f/nO6L5ORoQHAmJLNz4eGWjLFhoC506m+2+jpwAi0aL2OnPmsr81zIQBxun8bcmky0hODrqExO9YhvkomyUN1seOnobaJzBNULiCfpAjaJYZjBzbyL8pS7HWEvvIDlvrlvZ1zl2AsuXA/RAA0Ltwq+wrJJ9lUA37wmKueerwjajB+vCc+d+hH88bfPSHNvDtL48sLxYPDUYxQwdIGuH5zd0f77LOuMsnGyOfvUqVYBN2o35NIyrp/Z7jbgZvwp+BrhnVTMFDRXG9gQipXGIl/H6Lm9e4PTmqCfda4iavM+wKzqx6R9Oeeo4M2Psk40/AelSL/gHNFrmfYP2j9ArLNpJbRfb5+iojLIrRDfQp+isg5QlpGPaMhdFWyuBd56wOOI2GP1nfzvNTcdYv/Z+8P2hU8GudWEtXhc1C45aMWn/Oh0Md+dq2+XuPO2jVtkpjbFmbD38e+w2vuuCJXedWE2MCbCDi2zerUOYV0PX7QYHfz2ahHUiTN/eTD6ZIcFXU4xzLucu1aMcmiTd2xhq2+KQchTjDd4q9fL9MjQ73ySX75OQch3fNw65+iWMIMzw82RsC+kg4rx3DKZbiprfIgcnBYsUxjcrXBw/XUbQYUSluzwooceAjI131+lzkxxHUc/oLjWmX3M2ZRzH96/a67XRzk3560Zt8K61lsz3aDzrvOdZSQ1Ak8KNe9eu7FpJdYxQ6FWzzfT9Hh9oQZ33/9pUKe32AKps6UhReFiffkKBpHjod5DgsVQVPVLpTvrOc3ORYiva7beOMgrkw1Nn7qoiwW814yEzVQkIhvWdx5PiZfv22S0Af3aPdtSBMJCpZBWOH3uhIRC4eERP/IdzFXE4KBPCO99/yN79irQp1pnPvvZfTpGiJ9IBM2oJGIpOOBYmHrgT6iFz2DOphY+vLuymefaG2uTTnfMNXqHLjbXe9dkjZzk+1FmvWBnNrtCmnQcoeF6gusIv/7bQSz1ZY6psHcIcQhhYYcGBvCmxiqcIhuYV3xCJhQI/7yNgIjFsDQ1BV76uPW2tfxxvrT/gD8PCsZDizsimrzmLhiQGBzYzcmtPUEAAIy7p9ib2WyaINnolnlOyg7LhFwo32xGCgKCu+7alFx+fyTvuNTddysRrdSdXOtw/iP1qF00m8ynnPprrVvc/Yhg0w65kzE90mY6G4Gev3gfCWzu/RfyvIpcAujuEB8gVx0rxPr7Mo/B0NJYubt75zZ/0ORkFntMTadH2p5cvjadTkh75rjB+YPzUvjCKQ6xlo4EngDS/4TwB84JF6Z65nw5MM6ZHjlqG2kpmOADHAvkrwjRbi0GpuvpwQBnBJF1wdzqFX40xAGXCAGQa65DnJM5adFGL9Cu/ijVNeV1c50+vkkl91YTHuNJO0RHW2PZG4zIIUR0dKOzmwUdnQV6NyA+pOXNVsSWMQhathFXzPZvm0q8kdUEwLId6Zd6QkkBQTf8DiUMhLg/rHEiZsocFlH7tfZfyh1+JIMBJhIxdYfIRQZLPI7kZvxhKnftLfmmsVFYqUabB+mY6fgnWYv6whtYJitm+ia0wMiKzNLkLyrf8HI/sKDdvHdy5HILYDO5/MofhiZzPVjeNWF/5Xc7JeAL8f47dQRnXJEYukX8toN08PQr6EdU4gFnhfBmNuCmGL2qb/1WIM0byGVyVNLClbKei4nqpddbslmW2Q/Bc6UQJ2on98mEX7D+CLAQQFjDgC6WOU84CWPUNuAbfNB0zotw6r1AEEGOPPrpV/HfUXlWOzUTNiThCep8R1VQkRfxiAK1VbS1DxRcL9l03QxSJdxLuEs/f9lHlAFLwPjkccRpOkbPgLUyiFhDY+FLmMhqXhNLe6/1y0o5IC0tjk9aRCpHBfXCG0xJmXv8YRQYlNFzjhtYAuHbX2t/B3E8gldg4h8/xPJAAF3PSsCWESoLmLCv/dVnvormiVcx9HYBPmAgNurxapv6+veoxsc2uL2XtrwsRRXsQRtqEN7t/dcbha1m8gy1Ne9V3MxQ4FXsDTtjoCpXn/QJ2oEk+54PYL2hGqL/spstmdNK6DoE5xPFnxBE757VNJ6d+ioWooUEvekmWyZaaUcuh5Hkt/xTAElLcJtR5B8BgYX9jnI0TH7nfSArmhckGXzBeYDan8QiAXeYx1cODmKk2hn7bAy8aqGyu//NoD+mGEy8BQZ12jjcggHhPQNT7d4AAd9pJJiIBG6/labnYQGfdz5WB0xDDFxO1dQH8N59SyuoLIryye1Z3r87AscOI6z6+y3HNWXu/AtfeBGrrp/60aOP3H4XYDHmGpLtg/c+df4FrKO0k4+pzANU5jKVOYLB/davnnLpCEMqjuTrnQyatJz+eb2h6/UOfcpsl+G7hGLzIIoOHhAnZxTCd0Pg7/4OY/Sx335UWVqUWQN+R/xKhJoE8KkXEYDYGozMiwKi7QkBEKeoLPRBNwA3u6PLQFSma2mf/TTd8ec73xG4W570z7X3nTjx7/jl7tfP7/b6AsT9Nk3tfBkQrDl1g1nbeWJaQZmwcNgnyAS3fwH9OCjxr0/zoiSx+GPO8xad5z1r82D3ebftUdWs++47gT7f/XpXN36C3nc50uEu9BHGcKLZva9Jazk1FHVLt56TQqHZ+PiwcCfhFbZRbyoRXkCKImXRLYPCzYgXVDRQ7pe7eIICquSu5ZjTn4Z/OP0XG99KmLQwwD+M5XLut5Gn/wn+Cj5J+347KZtYmCzwnT59Z6fNqZprLW3HON6KtFD3moMblLfq7jXRvEHvt2sdtuXRswfKcUFZaU2d8HMAHFEVQroBiQOpUIHHOrttsraqCgU7PXOhSqRKbtr6OcDovrw8kOkeFBFsS1qqHomPDKiZEydToqr6erKFbj6ay4RYbLLF3mww2F+w/QlipQOpvOCPWe8fAnGHEUqXBzI81dKgvXyJ4lpkxhxW3GO4OynONoRpVNdIQGcjzUkAyI8yblWkAVMDdzeCcqTNDN5ifw5hwLi5qvvnjiHlqr3LTV5CPAecYQC2Uzo0u/jZEuHi/Yo+kRMEn89Ez8mPP4FomKs3nBkM7Lps2PlySUQiQAn62KCCbLv9F3hI+Dt+gFpXtjITC7lxakPXSu+BT7q7tb0JakPGs9Dm5pIrGtWI6tEhwo4NPVpDL8JVvXGKvxi2q7H+RHF7KFgKIKKoJFQ5VOk7ywCQLliGALnDosEZt2w/h4BN9l+62j8qmYMCS3Cwe4ddvY7U+JXLJZgRVdvzH2RTZLuZFkW2WvI7yIKDrBbwsmvaabh2JPI+DKMAetBu7Fd6uyPQ68FK4UM/z/LC4PxsY0yFm/ctDLkXF/tmtuVDWinRn5kIshTO9jfaX8OGgsoSNPmB/uYBIXLizm3nnr8G5nPj2fDs2GXFVD7l9oijazhmmX4qbbmYMqm0OYNPbUbQ3St8wxaNxTvl0XFqswrv4dt/bmTP7IkZMiaKgYO7R4KhwYNB38U7WenQsVVxkldrKYN87Z943r+QX0gaSZlIrFib5uTVoWzu8G0SXDR1iY1hIDno7seF6c/VlKu23vhVjhd29KDeXLOlS0Zd62fyVExXItNby7n1StMvOakKAbkkwNwcoMDqKGhcZiBajuqsqHQVJAKXXQysIPUkaF5W0fvfV56alpozPKBS2o5Gbd1CiC3GjcWp8nvf735tWaa5I3a6An8Gn2PmaW/0SudrycN7lgYAU1s76KzlwWatWe8szDpu2Nn92rRVXehkjabzVyfV2PxatqDO4TLV4BopfdMHUjDfOxiKG4EkhzhguS5DQCgV6T8+UJXDoja+p+sKAyH11pXV0TEVJfyanI31Rsyl/mrv/58uJ7s5jH1TsRKHX7Ga1di0YthYaOX0VFLPDfIInuxNhANGXOUBAQAb4BDCxYFiYXvU0DMaAQBOOyYEdVIdTsS3EX8x5hdIol4u9DZLhUQ+fHOjlYoEZrTRVDTQfj8dE/OmLNoFnmVpjuOU9FqnI06jZg+1t45gLRdpa5FqW8OosyynTTOXmnnrV8OgYBiWYZpbbmnWnVZirV6r5emvF1oRjibRsdWbfABCSQ4IyucVISDUAYBPJPvSGbJx3fMWL+poSP3W4hX83bcjt6YH0L3vEpKxdKYOmUaXPxU2eeIOqIIYzW+rDkdyu6eaSXDDjSrleDKtqM8yCtPr7scTZ89v6yYu7+q6hXmtf/lDBb9rffN2B/sowpwatQX5yCHdk5IVqjJ6dtNO7V/L7bslDlyZ0COPSYYrx+mXTleZH7lyVN5ZDkLWPx6vOKNraaCT/N+7Ls1O7ilgATj/aqtvJl5OdMWJTywJCNhw2nijSO2f9PvLo/1FO56wQwaH/fM+eIYYMjjSAWPQn9PoIy6HLazb37TXqsvWRvAaF7W27I141dajcG/whVqtMYKcvnLHFbxaNTLCEpMTlQt52xeUgFO29y/cxquZhEx8iycVge9i8VHwqWHPL+TPylv94i/+vNEgoqCvdY25wjgLvyUGXW9AGs9z90uK3RpCb+8eXp7jqd49VG/fht8H1lTIvL0OUe5nEfYk0w+ffKPLfq79mXecl8YbrsJvM7fSeaMINmo/ze1uk+g/jzximFFkmeZ/PzapLjQ08/VOYLI/jTBA46wTFurC1Zlb3jlC/6uRC78ud+dhGc9zcTzwzgH8n0d2psdIzNm2B18nX1H8dlP8zDfi5wL3fwfLVb7/id7sJY7K/13NHEbwz/B9yggM93vIpOVnne+uNv/vD52NPtjcQqy4H31Gr94VEPdPzHK+A+N2LG4vHgUjEopHWjIKJudv5JTvHbpLQhOzZxmR8SMBQoI3AO/zRXfp5WPdo/9fctIedbnpGJIotmPMEpVgejy5wU1tT4pNYhT+C+HOpXlzo8/lBb8wumxJs0eRtDwaT87UhLdEMjZXK86V0o2xHpaiGg7zvUi9cX8wMHnUlnr5vfs7IcaH0r199a70wtC2mBdiscm/2ZFrnbX9QgGoRimqkU016maGqUaNvmjQYVneaqGDrG1Xms2NyN+oAkFKs/KdnOclY7hmZLl1MJScrZfycX66SCAQyL1BAxyfwT40Uoy1eojmJ9tT20ZGelv3Xxw2/l9zfwEe2XHlD8P3nKpbdbkZ1Go1St1iakk9mpE0GmYGD9pje9AMEyf2OGiOYwhvwMmG6Qv8s2vYtcMchxe8WQgzZzfOktXzVdW96mk5A1l6nnfaVl/oe+vUqVOnTp1zflXg1o1qtfG9xncC+nE/7NrrAK4YWb38SgchvD7QyFcJmmXks/eMhCvDpGlxCbH2PWRNkW6mrTRbwx+Hx6vzqvcBJLHBSjZezfV2GIiJsNHNwLe/zKap1hTlVYVOO96V7MgmIzYFZAav7KlWs25HMsp0Aymcq4cWhWV7DD6hIkJLMoJ+kElUC2wvKT9czvrFd2DWqjtBXC74KKjCqIpi++7QClQXjRxAs39wMrE0Crs2TvUbJmO29F9S9FydGNHyzKXRcCaSXxRfbsN9NN6dC5muKX7BsgymBseWuTSdMC0nt4pF16zt5CbTLbZlNoFAnUq+trkjGjMot638DLVv9BBDBrcZu50x5eH6PWzCY1qnqFkqmDsrkzfZMi0NciCl08D3gtzXfdddAMwr91vQrdvjfROzOmwxuzKDuCf02OCDzy+GqmsMYXAMxrtHl9T4ffd0kY5hP277tNJ1UzLed0YSRGG+NMruFjSvsFZF0S3TnGBOHIT9lVZ7LRIAvSSyzBZb0JzZ+AevoLy3GivNrhZ3AHRr1BYi8PBjrD1qZrdBYaR/JByOqcnNh/88mOWsqll8aIy/5OqMEfZbPiZa/hn4oPKreIEHsOni8f1/WB3EanmhQ2giwDPBdr2vczItvO5RvA31eEx/GdCQk04z66JLQoZXJbVafioTFioBcZB00cYHdNOEE7ploO+e9ITXfcufGuH4oGqtp/FjgprNcqR1JTUl6WdTyqiFBBVbIAtSKcgCR6rySs5gvV5d4JeETw/vw57ejrjB3e0rmc7AJkPhm2g0RmF4cJeli4OX8HB7ktnb9gnqK/39YEfNMjOJWYoza/0Bj8OLw8ZpTX/uLSwSQ1UD3tf4oMHh7jt/UuUG3Bj4XTEEL3oBzY9mj0Yy1FSXtMD3RkUNL5ZjoQYLMtoCcks+wYpipcfmvQbVhYFjP0aj+uBCL2SVzXtPEokvhHaut5m3pkiHBhcvQTPKclneuaJ/nBmdS422dqAOUqpzd/dGk/GRQiiZ5h0YnlmGoSURZu0+EDWJndwG04SGLJTgryKdmdq8DU2C0k2n22SPUSpRboY5+E0a4cm8VSGJXXvQd1IyuBa2SzBfU+bGlMwtk1n8KcGDZBBU8nuk5MNCN2wiNnYuAJ2yvYd7s2GbUu6GvFxnLLJ2Ax8wQ9zedXHEMIeODPano4SZG+sZIaYx3HlxqDqhh3vGl3ckvAxFpMxZVOt79HFFbOS0BjfcYIZjqnJl/ObPk1MOjFRTGij0w8sF3SMybk59H2Tdd0Jy1kSjBInwMhJS9RWiVi/Px0Z6LYCdDCKRFYXbhmfSffEEx3g8DB/8ICGAoOPiFZE2L827geMbiMEsB9KpA31/BsTIZLeGgcETwAB10wWEowR0FkptNQVty04z+DD+SuVNdfp5xEEsamxcKjZpTynoSeAplZ/Rpr9HkSePeGCPJWV2OHyYRTde7SIABWdlj82Y3bPSoQCARrp/L6ZYnBH0FnXFmQ7WNdeaoFsrezwkP3ZZbYK/NFHYawPkB1iGDeSdzE338EKinwNzXEJIRyjm3vUStrlc2cBecpeb7URCRD2ee5orX6cp6qFrUjZK1YhCQEX+JMMVbOzfPfgR/MgNPTPRUu/F4vcd6LdJTQ1NUaVyk3LgUj1Ffcrz8EJZfx9dN4S+tVlZRi1z6xUeAbBW98vKVlfZul/ZiettQ6fGyBoLAKJHi5G65ApYa0YMiv/gsoma2fit0Tkmatqfc9uf81JR0zHu2qy3oN9z946sbRZHrLvvZoUeplBUT8GfwozW0fTTCoKU7NdTqSbIS7oNqxJ3fH8ylRjoS5cz3PPixZgXSfX1B2c5GPai0Q7u2JCumnz+sCRt0z1Clz6OX9SOqAzkK46usQJsuKh3ExIuChpT4FSfSYm4kgg5ynOPigu1ZDOC1urcqjT1btP/IieYEuFR4SX5GsHaOUf2XH3wWDG5aGq2gvkkW9c745HB/n5mAjkY1y3KOKM6GFZ/PhcJ0bZ+i+qhNEYvnm4bae9IDS4zY0MhHc0No9EkUgRsT8yyerKUGCq3w8ZoHLZv8Z7XZW+cOlFOlxD4kZXD/GEEhiQPZEekO5QIO4ats3aHAx8u2tRAY3JnOBR1B13scAxiddZkE1+xiz2diYTJkCk5t0rop5vw48KnfUhwbvfWPoJ+Xw+wIwGipV5pAYOr6614El/MfJRmkAzRBJ9LsUv5nil1Q0XVVm1elOpeFnaTsUg6S8sTtpkpDXfXliS8oaqzJqlftKwrn+9eeHdFfkjcXBfXX13sXxox8r3rkSBgeck+ozfXnoml09GcgaPEWtY7uDaWGuoq5obWxtnAVDw6ezDsLe561i/yxb6l8geDU/HX4YrRbX02kOUje/oApGV+CfbCq4RXxNYygi+pSIAomHfhSQ+e7zAOeHRJsS1dLLa1FT7ZHgMDUxKmVcbDyXI5mSqzSClepFBKpUsFGSPR9uLlcNhHXSpMgUQqpHzI1rjAjKLHDZdbJjRsWJHhxPqt6155paDqlZiDQ/ikFtFKgqr2qKWomje9m2GG1GiADgtQ1clXGWOdGzOMZdZUJww41pXJ62ndhbak7eBdHdW6G4259UqOeqHZWE5mxqXaOyxbU7Rq+A2B+ctJm5IHtPqobxky96Gu6m9F3PABr8gc0wIf8Sr+SnyFuNr4G5jN8Fe/mlpW102vlEjYXxtpQ3xDROUgLMXVwt9REeXEWDDejArPzui83i4rRK36K7rwWOB1rt+5HyLZ8kDy3pBNSyXxutXif+TZ4a3XhCh89cBLDDAcm+MzH/M8skz+/fKXwIntWy1LvfX0ANx0+mdaZh5DnZIW8zxoqsyFqVILDJLyV3fSuDsY6bx72NVJ+aI2ayASWjOSYDzZn41WKHQBpM1Ip6X7+fzkChHBu0i7TLTTof2ehgvwo9G6TPONy5yDQdLM8R1tpi6XAze1RCa1JC03vdx+hMtP+C9XPZS6DLToZXsdbqxro4+ydTiS7TaiAyum1xkmge71w6S7mwyv7wZiGhuWrhtJWxS6sYKNmEqFfG2XGdN1MtSm/4mZ0mFkeMVKQgYrBoaigxR+BHT5imEXwRIOg8KszAqeLdx8Ci3A0PCq2UwzsdkTCdBXtNVDXjQziFd5oL/sbpDRw1dqJt4EP1eZge0IMpKgZLXaNGsCi1BpkiA3uIkdFSoHb3JMvbTp+IkrCCWGiyL2evwYQcdARq44cXxTSTcdelz8ox2GUxC/O47qJpO/Y+oRFBc3FRyDGsdPnDhuqEyqz+DX8UfCxpnRNglP/brlS2odVHrqJTlSyzczg1ocC6Lzj/m0tmSwcdm2vgFbH4uGq9WSJk+Umx6H9VjBMCJASZh1QHJLgumx112RyO7dsQgK2ax5JAIqpWrfVbNTRri24rLZ5Zn8m968a5RD49MFd3C8djCL9wHP1XTdYqzNGoT49hvz3b1t178lQmt7EjAwYB54ublc5VCtbae9nZu2vWfXVQNzDdLYAos22g05jeJtI10ayAgfPBVkbndJ9H39WfGTiXoLdpDxIKmnVG1qeVlR+fN5Uz3AkKkTNbaSSLksk1lv2+/4k/bNm4Gie2Dx5EVxe9mgObnusjXLk6wtFm1LkHZOUl2cLSl2m0x3hutCeroGOAAhxGaR+cjLus026ENLaj2ZjrFNUb1w85aNJ+h4yItn0rF2G4GDLqIRPS9YXCTMdhmQlYt2JPW+Mm/8Y+OfABRapUtYCY8KD9ZWMSO5TrT31Uf2be/xSGsUVzS1L3cpNh/qCiDeyaZjibVgKJVHIMhcLylRVVzranrAaiLaq48Jy7Q6zptTFRXmddaN5eMb+tKb+rfsB0IbPzyYzxbGHKQkQxhzJjsz6f2zPHNoya6B9JLpK9M5AL27g6famR5mDIBAGN6fXFIpFTgeO9b4iQloL73Mo/2lsbV+ILgtj+54R/dVu6JInXt6nMGqRQnRI9XFjrHG6Owb7ehc3NNr0kTZKAxxBKJyyTCUStLVpfKUA8hy7zW6mOV5QIe6bS8/PO1nIP6j6DdtmqsltLLgYz4dD5uo+o1iYWAV0LG6GhhSC67CTCU3FiGVwkiUNP7Dw1vF+HD7v525Bt/Id48YXqEybDyV4Uba+HTzXCGOTr8WnhJlDwqP2QZR9oqpxbWkKltMRcREWKZMJ884ceR0vjqmnKyt1htvQb7W68jj8pFmiuOBWQyH0IzwPEnRmRcdrPespMQ0CVmu69X+auHQxGAPYRCv2qxtczle2nfT/0PT1ePZE228jcJ7rkHkJg1nvXGSoKsPXPLixElAnSHCDUj1/MHausUjEzEgFRImsKZ71+Heh25rfBGBMeCHC/X9faKm4MeH4C/VyGspa//80aDCOWJA8MGzxn201SIf6pvC8tuv3SDGqOMH09JmBoZcuUNaAuPqE+ST1tSgJUrzVxdqAahM1FqQN6UAeRN0nxkUnifw8yRbvJWKdEFDFZ78smmXxjPHdp+KQZBdGu4dKtnmZz+T7UYAu5ieWZpeTy0CUyugmpN4lo5uWDEFxDJWb9uQ74oDYHdDT0xQF3fdeOn6TNtIqs0gxABPDU0AyO3Zg28PlOSMaXEEUEMbBe7Qy/JpB8DCUzej3jMi8TsjPTredTdagF62/CJiMiDw3DjYf37q5BMZIx5bX3z4z0vrNBXxfRp/LfRKTfhEdwiZ3LZ+6fhwhrTGy5s6xGcrb4ntzvPWz65Q6MZWn65QH5LVTXWCv+SNH9xqRMUwT6Sm0CNbl7SntvazZYdnxndEAL1jW5zNkylHB0pn92/f2zjQNdQ95dqxjmLfcOcAdPEZGop6sxF2/NjvDe68JYM7fb1QW8ZiK8yd5foVRjpnbTphDMTDnLIt13WXR7uKK5evz+Q6h6++ZuzqBKCe3JL0UNPAjx8KOe1skdMLRwsnzhcjhA+ePy74f5T/cwMCvBhvV6uauMHKN8naDEpQnHzxDUm4FquTYaAhsmJVroKXF5cmiqaeZCMjyXb5hlVYgA/g5jMZRDFh5q2CE1gYVB6xJ+Hf4R58XAuL+4a8D8ESL7xaqY0pAP5BoTdArCjkQW2CRvHxTCTswcxiz4MVa1hCvOMK8Y4qPu7XXPFb6dd4DmVmt3pVtXJFNhKyK71dAJTS0JoNIHp+pN2G4foIqmve4hnwxNsOIIHX4iPKAg6ZoCK/Afqq1gJrFCfx5EuM2cHS4rDXRacG4+3Z+OAU7QJ82+BMZzGX0u3JPWHOw3smbR0k8mILdmmfxYfULIdp8OyY8n1nkMcPLVyFDsKYg3969iwHLjzLgch/b5oD2g4cFxjsN/5veCnw/nN6KW6BBrwdn9A8fx2/kI/AD3Dv5WYCTevpV2NZivuhNETtj5w5xCfaIqZBXxgBvNtKtx43UTjv1vplhvOzUIWB4g6sk0jsXDjCiOdJtetuuW6bYSGcDzUIhkOPzSCapPHTxs8WoARRE0JPovglUeOEqHEkxBSuWVRNq08EaYG8Okak4VTTYQeh6ZROYIf+2t8vWnnq96gjPkY5p3NrxeF+Ar+//t5npCXXgi0Z02aFxp0Y75VrYpwPXzI//PBWkLmfHEDkpE/8L5a/S5wLb9L4mpOkDq45ErYMd/NkoVA7kBtpT+z79+7/7O7+z3NBT/oJ2DftGFq1rLrpypQzObrjjks3LtnVeO6bSyXxn9QIUuBfjV/WJqWPHMDPEvJ9etEcHU2O1lrB3hWUgwOPN1McmgBxmNWjBD1O8PLDlFKD2ixM243QFSJ52l0Lr4Dk6nQKWTWtG5HLttnMXRGCj+OnDWTY+ETjo0wn6Hu0YxT+9vs33ECoG5WnejfgMbkGnELLvENLCYtvWnC82tmWtijx8+fHCgnZt0vK7VNQfqKSnEkXFVOLCVKpCOoDvheCiUOtJn43BBz7gXcb3Gts9rjRfaAbxrq7G196MfB4nBNmZeGlWYsRcQYc5mL3MwD5B2OTRNfJZAz/7S9qNfFf45n46zgOZB0GhABzsgMoLjSxUu9WUZ9Ia384OyQzEjsbJBMfvzD+UvUJheX6xplkeZwW8dTvnjmXbT4hKHo9vk+1eZKCjPgynigWqknhz1AxgYpSM8ViYG35MTKF6EpyEmCZx6S5Jd6TxsZ3G98igISEw7Mdp15wCnQCBchnu72lu6q3nTiennA9Sp6eS0zPpCs2QPe/kl8SSpEyPRZdW3zZ+z7gxSj6ttChbSZ9oLgxFpVgbCDRdPcBYiAJspJln1srqK6pkULN4ZvzplSzuwXGt1ySqInMTj4bSyGjagF65Ijleibw9ZPx+A0VAthWH1qWzxSHeThGYLw8lh915jVQrPG3MYUN9GwaPcqi5XHsNKge5dOb9dzDIfBuqA+5kc2DNtVBh1ylNPbC6Nve0tRKoBuv+kDhkShUlBYRNXqdwgbu1C4RMn1w15ZN3ZqQ6WIrleWWcG+QvztIFqJiZfO1IMb4fG1BJsZH1A9S807RcgS9aOPvo0EtEEJrZ3ZHACK7Z9aGAJnuhEKypoLGeRSkt+lUWyjUdmqT53Oh8eDKVTqx4ovGn161YmraRT2o215AozS8nsWibP1wyUDYqxMKZ+q+F63VI9lCqX1ktYV7FVdg9+r1FtSYt/qb9to1K9Y4CI0vN1vbx7VuycnWbmlq/5MaHT8bJ7jyDQTKt6bcmoz7H8Gls8mBYu8qUwfilvt42bGATLTnTTgbLwD05H4dLKfM+/spMVjKdsVzA69y50Wkhbl/x8G1YY4lCUU0e9OLXziRMclTTy3kylNP2QNvW5zuNZFiGyPpttqS7pekcWCgVWz2Zb9fa0vL3tsvOPMOMW86JDizVHKmXpX2USoesEWIB1ZbwO6tC9qpHNSAN+OCY5IlranhgUHjj1HBY+VNoTB2A+UGJe5Ev9nmdcyGLSN5/yXMDN23bzJqWOHZajii90+4lHBD+vVC4QPrU4imkS9Y/Fhv79GJPLMKecPkf4m7dyHqujcQ0lEH0j6aGjg20VXItW+42oBNo8vbc4WuiWPT+a4wAR310ICn64i7diPo1OoY7b7k0npv+31j8V0jm0ud9Usv6R7JuVxlz2v/Bv8CHWds33GVPf9vXV3BXfLjZ98lPw7uzsIpYSs+ptac9HBet5xhS8C/eE3aR58ttVUSYXQGMozZllwwMxzPlOCxts5qfiDmbZzMIbUtStSqmaX/sxU4UXsRnIJv4GPBOho9HZ60U7XzUH7uW8DKolIhaKlUJJb59dkuwtdHOwWWLsMXVrR81qv/X17TWXn9u+EO/ISKjhdVy4zKuZYsToCzmyyT/vB57drsLeOin7TQmFJ9bnzi23aYM7AtiLT1JqNt6Vi6u6QTXXejhGUZibq6OCt1p+WtZG97GMCyHfyEZdrxzrWzHToxnFRnyjV5OTtTf/wrvYz1fuXx+ky2zE03FY2kHRP1jtm1nfGchoL+mqJ/lfYiwdvLV3dK3kZH512kE8217BTuehBlskZLkpQKRapIbVCLHPr5quNh9Q4uYgJn4QIrnZUDtZqKfj+83XYArYQxEI2lDdOKtHUZCQvBsZOVZHCrKx3JpmPRgeDGdofTgCkBvyh3xK/Pdhk/MZStT0eA6OgmY5LZNuoE0Fla70i2tSU76lPqpu1lYklX3XKX1rONY0MdS7ozkomKu5nuJern8mLA2eCqphG5HhpdpdYlbdd6xMhczso10ciz1yctnvusZYU0eFfL4VlXND3XsQbC+9YDDIfVjN3UoDlfQ86kHEbrE5/NVBDejzSduVb3cLgzpVu8sRUpNymHT1rCwIdGD+qnv49flOhTojwiLdhj7hGJJPeBCkq2L0+7nq7rVt5mdl8BdCRIKBrO0Pve57p4qpIwHJ2GuuLcNhlLCvqAomXGukEuGS5oHhb+qD7R4y/WNBkD9xOKKhUpSSqszfzINy97mDizyGwimPiLK+K8JS6jxJSzEM5fi9brKvy2L7zNiGYTDIhuwAPgpA8cCIU/AfHY9Mb6cmIORsGwsyOeRH5QZ6QQa6uOWkMuGYkaK2q8VNDdvJOaLRRLnRjCmmnlTEsHRiMx2zL3i+paFt26EaYnxlKh2gtGkp41XbOpZ/atiZhDXeGsWEsxtQS97SKzwmkPOzaw5z8fQVe98vf4sMKI3CE4EKgHVTvVU2TKRAv0p7pw4QHfeBVXJZy+snAwnveLDpIg6lFXHE3WcigNm2ZARHbDIEaaEm+r37xz84aJJWHPzo8YDoLJdMLbDvV39y4aa0+ks/HexQZMjs6aum5tvDlM8bDLcajg0kKMV4o2A7froDk9ZSVrxUlz0bDFdIOnLK8CHYvai329HdVJm1Gj0m8ba0rV2nrKLfjP7SfHujbErGjcIMCY4w7H46umXIu7K/p5Yu1QL7cdvndV5B3UbitiaLYtZRbbM+FEe/uaMKDe3jbAewmzIwhAhW+up8MyhwqRaMhIlMrpiGesKkbG+my1fh0//Qu4Dz+hVlnXOkeTPmOrJcVeP+FiIhjyRltGE8Zb1vWsxwIcnLzm5+zAXiMc2TW9J0FgmuoWs3qKkKpsGh5CwRsHseP/Z8QQKeqJRGXQLLWlGE3n8/3RUJxf2a4fj1nhLXeGljiGYVULDGyyeO+bblxvwYDRlvHe9biZwFB/zEt2Fas8j9kSmMtXf3A1hXCbeds9SVGrFae78XqB4tkiIria6Grxpsu6KS5BwmiAeFdJEoELZz7PiDUxcy0LOQs8JPhv870PVS7vwBXJfLK3WkmFS8VkcdnNgzJnwurT7XUj1NjQxTounjKow9BMZRI5fuiesVpHcu/ugVpbR/cQVtKN05GUpSeKOqxAxJiJVyecREdPde/SQtcgDx3Z3I0Gzzp1qy2z+CoDLtt8PNK1aN8HHTRch5KejiPVynvqCaN83RX7+iLmQHXJaS3bjvZUwXXwIiR8aony53QLv8uTwp9zn/YmTavHfVdEyxJ+876VRIvnV8Wwx5pzKKX7ZrApDVF/ziR7ZICvVt4PHm9ZEVYucid8M6y5FravfOv+wCeRXjExz6gpjgZB5RfqBneLmw0dGUn15zoL7VkGdGM2b6SNqB1iAMi7SibW0hu7iiniuXTdrSRGXcT7UL83DjYWjEKZsDRB3E3AmygkO1BnV4MZGSl19y0NATVsIxKnhniGhD4bwW3bwnumczlnabn3Sl0nVE8Nbat+7kOFXmdtrZgq5gZyRuYVQwVTp1ZvqJhOlY323mqHEVlTjra1dZOQQ+Ui89B4Ggnq6zj5YoKF9e5OXiyHiE5hE0IyVM/rEUYOX84X76ocHCvVexDRMqnBKI17BEPwmen1faBXOLmxvgi9dFswk+vDR7XnCl04Kg0IkIpqvDqIsjWkCOdoKod+MwQrOrCmQpz3uI5XVCgtuNi6xrNSdEqWm/OYM42906KdBliU5MGMhcJtugGkW2cm8fSY5VES0rkOYNsIgFnE8GTIjRjMoJ3kursyOnQAy+ej/UW93htCIBgu5TiPpZkzbEN4uMCBCqyqO9JvizU2049GLB4NdSaXOkRn7pRhmcSlYSsfjybdFDI7Holy03lPJA5GeCbblh1KmeJRcuqVWZ0uviZMU53l7nBHWQeg6NqEoBOLRsPl/nI8N7MziuFF1bzudYS6lN36NPkQnNa6NU2L86LPpjP5zNJ54+8j4Tv3i+RDoTlKjhVYwlELwh5ZEyLRNUeigECowRIsd4LgM8DSBtlyKkls3eLWuhuyTHdp9oZ1xKEGQZskn7tDrT0fOb0Uvo+Py1XDY0LvyGWUJpq5jqm4aBy1kMloUhzGE3E/dVhlz8ie0W4B6shx03UuMJcARq7aIE51BIuZJ5dxnuF8cPMovClGdUoQEeI3b7MJDwHjuPnGGCAiEbfipHCpNVfyPPyWtbqSUthvnysVTZOr4StGCClQ/bllVUEVF1KCIlOd5tZU2wyIOxyJkTy60jRXHk1yitxJsPxVc0Qslj++QSh9CrZuxhMrTqRImKROrEjELF1w5PlbFT8mBT8e0caFphYcjzMWZ34epDhMsKBRRD6CcH4LyIHvrYqEFSInosaabwY82XBVBIG4DNzrNrXyBJnrCK5sGd7dZErsxs3IGYQ4uNtuji9gClwL11IbvLmSYkyLvCwXJxMTTbGoVM/PnrPL1QTYhDm+zLzpSiVTZ+XdZWcTOPitRX1J2vr8JDkHT88mhExJXuM38H1CtUvPJnm10XPKnrp9lqYRt8/eOK2CuuFaj1BCTQSMXL2+pVlUi6Ramw5NSigJXdMq0L40/+JMw53cHKXEUtJ8MrpQmlE22LOb2CI0tunkQrnHRiDzHaenyYfwa9KXqObU/vRtbCII+rbu4VAtJVPamTwImVfqL34+RuLmcDs16Oy6QmTlIpeSeGTVjni4M4X3NeBlADKTiTaes+kHgwP6Ihs2xpm35eJVkxbqHArELptxwu0+G/X7G43n6EgNFxHu3fT9gQE7Fz6218+vmyZf9OkENf9QBKo283W6okqZrZyxlt1vhLyWg3bC1aLgRatCxekZixlI24dVwXU6OPCDTY3nUIaGA6Lg0y+DVFc4vmNVBP9CVK3TIhlmEnty1cVbPBaPXHQik+YDA98XjyC6BkVdPHKfjqIGfl/pFJQ+KvI7NOqToMgcrVS1ZnoY5Kic6wY2dlADX5yUHYmHmM/CrhS87LQoB2yDEQr3jr5iy84uQKjb3Gc6GsyamS6GVi36xyYTBc8pEsNDbDxn9OVbdnYChKzciYsiAd9tYrIM8WPGHYLaDwlqZ4TOa3GWxGdIXWu2PjBWU/earT+/dD8L/ADVDln6IkTo2rnlFaNwN1fMhMbJxn2Y6lTMjBPqLloZKSybpBZQQ7D/flHLvcfi8RBA584tLx+FlxLFUCoeu18yVNWybJMMUuA6WrIJWvXRmJDaIJPzj1HX0pFRkhbZJAkbFuAPzqu7s2BFLYD32FZ8esP5lfiG6bhlVV76voA2OginpTaXvrQLD67KKg9UKR3cOflHjLRTmdCS3kxmEu47vOJCI65eiCZL3QSj8VbqapoWDVZLD7I1/hgGluq7JtsyqvQLDXyT0HN4RTyKQfHn55+iTPuRatO0sMwFIVIlyzJVdonikyBnhgG17p4CSk09jIQNHyfEDYV+xAyD8W2vBOKAnIHftpUYaaMpJ56WknLiZ3P5k54z6K06MHJ5KPTMv+h5vrGTEQw7TF96h0VBM5h4i97ON18aoYx6r9rKmbQSAjqTgmjFK/WZzyCWLYx/FhfvmLopDgbhzzzkecSrbU/p8Dtbd+/b6ICuh6WVUrlhxpXvC2iM+1ZHoG79VRYmlI1BLuf2vVM6c2SVU9trz/yzsCo49+iuV7i6qO7S6ysa+nXFNwu6Bs9JGZydCeeieO72czEHX/WHdWlcezaGqRr+RFDmSku+a6G1qQofmwgQC0EqSbDovThUUZpijkjz8yGrVtbjNqfrH+gdtBizjj40yHQ3qpdrFl4e8hqPNR6zRlZSVh+z8EHghLzO5dbEKtkTzFesTjhEt3SSue2AjWASZ9WEpdbLN6o5guluA3SiogB5gWhdIWyxpZqW8qgEq0WC0W98ns6xGQwWWEw21wgmEXkQEYcqTkR+AJRQnRg2OBNLXYac2ntuawdEpCg4dNsem0qjbHbMAdPxdLOSQ8x0mfBnwAhBF0ZhxB7NG9x1GOt7y+UolT9ELn9Ln/SFcKMwYje+2viKG8GXOSPLqT457DQea+H0qPKcFavzBlqyuZhiS28WIiG+iz6yplpVWwtcLrmc4Bz1re8oZCMRwWTKnLhk8txDXhjvm2fx3I1h2K8YLO0xwt+8yuN6WM/cvt8kBvXZG9Lnuas3OfuYlAKQOw4F42KwfiHzsx6kBzwwoWLivvoWZwoBFJmAlzsmOGOzPkP3vjgrSsy+eK/Py6UTDhDOw4SA2SXZWTG5mFyJFci+ao8UfFb2P3RU1qnf52J+1IYRGKWc6pwK+fkLd2SZ4OWIg/eF/BWTfkw+i56IGO9ttXvjMpEhYG0OW5ep9JD7rB2TqyMFci6jac1MRL1aZJwrsfYzxqFPZ26EZsef/h2hg1k9yRmlK+8oxm07Xrx3hlLGk3p2/HdPL7xrWfHiS3HAnPtCedqyxksm1s3SuDiCOZc63Fi2HIDSRSscagEy8zWrY4yGKYttfNBkCBZ1zvmDfqPcyZiItYnYm/iWfMg3foMrCNVWa3sEH2ZIIP0pfzuzKo+k/GiQ7+DgfmMGH8mOpkUs7TN/khf0k0izbaGEBHVi8Nwd2x3kemRmGcDS2YjO0Zmut+VHUzzMU6OZjskpeTu6qsZ5bVVU3p6aPPjcrgLBfNEwgm/8F2IQEtl+Z5GjG0XgmYnXNP76NWNZDhh1kbcNJkrT09Ho9HRHZigd/CY3oOMefSAX/CY9tHtZdTGlE2Vzbp8ZHOE7BT804UXqVzlngj2R+YT/okwTVUpMUwzQQKSVxKKOYemkvx+G+6yUq3vRxjNEj+ukMQcPNX5z9yl8i+Fy8pyTN7YvKYCJUTq3m3BO8V2NBkDjIVjm7xiDE/ik6DkblZXeGpltccw9O2mo3kxol1ZbKjgWn0Qzwv3FWBsNrau1cafIdlyeHNu37bLx1e1Jjiy1YeXyWCoXXx4h8S3t2cpsrKfryW26PbwuHk9GDzts01AsFoVnElHLnVjn6hC699iS7Q9v39DVUyib7YX0sZUzLuWplfaOiRvLdmeWF9u7vngiDMOV0kVri5eAu6k4PRkgdOB3+IgcT30cUURC2nw0ThOT8xaLoP21r3se3Nm4W/x9XuMWfHWGG3zuuG6CBOHk1R+NaNXTH4YvEarVhLzuVfIaGNl84cZsTXdcgIZoWup8rNpEi4leHBO8Js0Vn8eVn4jHCWygBjWYnKzYttMW6a7EchOrOksO1W1GmbxqZOOVXKZ3dLavYPQ60dGutAe0bUes335hpq+7lE0SiBEOO/ExNx9yCVjhUtXJVC96x5t29+VGQhTccIUSedVo79/9pgd3rCn2RPtJjAyXXnxdYobfVYPc7OvKcx/P5Dv2X85nEsN3jzs2wcb3Ve7a6W+TKL5PZbmr0eCMZOoy4Slaiw7q+Pd64/1EH9RJ4/14b8PAf4f/wLdTQijOraVSEB/bDKA3ADXZVjvFbjJrMCstDB8/FqCbuK/DAzzV/FoE6laQzrbzLTdCYSx9ecg9fm1mwxVRBk+EQo2VLHrluvZrj7uhS69OH7g3qv/Hc9/kAHctE0CPXboq7aKRNtBNrzwcZmDaLqehF1yUCva1WS0oGVZ1CzRSnDejkfUgTUFlgio5CoAOAue7Y740Pfb6w/zopYqmQiGRWpVkjZWeB0+w6BXrJVloiBK9F1yUXp06+BJDEGaboBueHZ7YLkgTEidIW3W5IA1MyR3tR/gIeBpXlpxixU4PVwmAwOO/VFAANULvw2/A77R8IO1N+NmZzXHGm2KPzw8gaPKvzgyHYeNvAizaX6k3Nn4tiHjlTV06s+mrX+2D0Rbsb6j9l3c2bF0DUfsvrn44q5WFCfN1GUmJicKaq5glRN8JeuEC4GXVP1A+csZ40B1nsBVK9UM3DQa6MVefam9nzE1Y+CI2uM+MhgxKTroxL9RyC7pWdSwfTPs3IXdnOGYChJ3ICxkVORkknbFwGpP9phdKIO68M+yGQq66GY/JmxApefmk499WexvV4Ql4QnPlOuwK89Uka+F6fONj8MTJzTsnJ67fJv5cWR0fqCxf3j081L3837ddP7Vo67brphaNZDLDW7YOi79bt2jQ8u5nvbn1TWeeFk+sPb2I7CIFSQsI6z5BiHyMcMU/X3fFRuVWO2S5YcFPf05DJvnkMj26bBUg4fr74StfJZwUbM4aHY0MJ/DOoQijYzVAq3EnvBc+pHvBbkjfEPnwo9pq1cuDsUR++xmbTc+6QvcryodoEOyon4kzNZ0Eiw5vP7IzlOZ9Vy0xytQIR60dM5klg/1t7Qkkmeia5eV+AND57heUiiNLu1YuSRi7p8Ra2dOeZ9PBJX+3957DsYqzbq1eRfQu7zb1PbNJF2tsLLMCAA3n5aH0DWvWXY3hS+W9XQ6CdalG/PmQqEdVm1DyOJ/m15rlxwPzvWX7Pn20uSmlrCOUWgAfvk2ztW3P9O4tlU6Pr9reVy3mFm/curQ9v3tT6xX87OzmrcvrI0vq+YKxuTG+bOPigWRybGyxPF895cCqsWXT+aGYdXkxbKdu2rj5OQmz9Xzy20eWrb+iUNnb3WMdgnWHl09d7hlFdbrTwiAq8gZ8WGvz51Rq9Go6bDzkoBeT+PrQ3BNh5LiIoW66FFbfs6zxz2CB7cZdzl1kFt5LpGtJh61vWt94EswFqH7tvHh+1G4/zeBa8cuwVhb8VUwNKz4KRkbCisuCzZEwn/C5G75DD1sMkTkGAwqfYY6pAwWKVKk2/I5o72cmqM0Ab4Vr4buGpYujxssbGYaU2ZR8UfNX+8bLcbe0vcCPwEVVuE7NY6se4WrfrrFoFGa4aTCxeDhGmUEo3XNjbunl3e2GzLqLori8hXNo/FPjKRbVdcP+FODK+/9p33TU0PUogx4ot5bWMV/DZDQlLAo1BYwjqvEUsa6HHPMPCgA9rsviV0aj9qcajZa3N54SoD7OAcrQ01pKj+L5+Ji0kuX/wcI9wTxzDOW8o5mSuifDgYKZr9y8dvvtxXaqxk208vkrFr9wTYlBwvtqfuROD6Ha2Ts6VevpYV/+QshdBfFVQ8VSVewvpj/5+Zayu9W8LBEstc1Z06b0p2miKZubE07gFttUZXc9f/XmO0sZHcC0xCX07tqlyua4O9QsvW9kerQyyL/0Bdf96lesFZv8oufzp/4OvyRtwJQfbQ22QZTlBJ/WdZnkgh0qfNr8lCr1bHc2GWEmcUOeFYq4kXQiu043+1Nu80Y4apvh9Ei01N5Z7b8+KaAf0QxBtMAyWLr0wTuvf+sld4RgoKOj9ZZp9pVeO/fP+6rtZEq1UbBHX03yaR5OeyYFI7AmA9tc5UI1l2MQhOOnPWqMd+WyRjY5uHEi3VsdWBE2CToeGJuXWHbMyUwUcvJ6f6m9bMK1xWh8dEs0ZIRXDHltY5W2Qr5o8/WXmUhYLtMurrXFVnU6EV963q99C9doXWq8Dhz2LfHPwBPeVMuCZcvXUauvx6S98WR7cema+ZNEFheFLl+Xjgxt2tSTcbf1xkFQeGx1OjK4eUNvcEGNi52CF1/T+rRxnxutvBAHASuCVRiCLayk+QyBh6tYEQxZPh6PWaV8ZdVsKZ+jE1skN3autEo9Hckx/9JmaszdEsZbwmqPw68VZg9GuBsaH/GcdRO54trLTTfsdIuztRN2vHE8pHPXMbjU/VoSv4GbRFvNaBv+W+0FZ9188b/YinM3n3WzRtz0RzZu480uN5zWXR1l9Xy7RPD/+9qIdmmT/6pqQeWeVbdm1nOwrBVT/PjjnxDVnqm1txe78qvL3kA3j41WR2SlqTnZF4+gQ/tG8fn9PUxcH2SGkaXORbN/3I/h+/nJbWHTswcTVpsJbfmxjpyT7J91DUjDJnmlY8KK/awQDi9af44fZQz5I8mVYS0suPITYVsvldq6Sb5SLB7hLUyKnQlnlJoMUCpGTheXO+Fb7nbaUt5dtzhhGwhy3Hfx2pmlay/eZ6P5lVWL166+eF/IDju33OWl2px7n9v8FXyPeZdHECOXW45BdIoc1uZTqfxaU480Pp9M5te6puFY8ifRy878RGXzS/2Cb1F7gKqefDYBhAU5gufYC3RzM0nwrNuCwutbcwRlyUFvNrWI1h6UrEqLBzMU3ryiSgzP3RmW37KwZud8Qoqqy/WPq3nJB+b7IoqZ2k34CN6qZWVcHYJJAKM8maJ+fnhXZ1VtyK+1KIfXMWLa/r6p190NBUqirPGdxreQy1hi/9zHQ7hCFPu4h7egG1b7qMrtSJkexbvvQd2RsxQ+J7S+T0QLFSmtGOTUUfqsPVC7KmdqvsPkBnRBDhZuhjr3Ew7Nok8w9557YMGeqKf5XG9QqLKkP0I+hItUfrVGfRu/U1RWmWr1pO/vBi11nlv4QsfQTVPsrtFAQgh26pQQj5G500gA6ue52R22qf7a+yn1qA59CKB7BiONHzd+COzct1Qc4aOC6rqYzb6nOf/z/SaUBzpiVE7nauKj/lz4q3mwFEUMtOv/4J31KLM8jFBCsfHru+/iRozB8pfMgP8PofXfeS4Gdz47dxo4jLS+8667/zfeieW4zhvf1pn40NeuW0djButaU4IL/LsGUoQZLY++Zt36/8qjynPzlJD/dqlZ9HigBUtK3pSjJIi/MBV0UR98JB7Ww6899b0qtSxaXbHpN7uqBppO1Bja8LGDLFV5XoFH0uk7pkYo8iRH4OljQ9MhhyS2LDpQTSOPTF2t8CY7gpKloevbJvP4fOULbqKTWpA5oxP4VsOxafXVh/49qYfjfpGZ0vOKRpQyC43qrt9uWGklwbMtmyOJj70vnfaLNUNLrimFkkSPTQ8dS3OAwGv1SNNr1boqj6SjmSqmyv5Dr1UsXx1NvyHkvvndEeDbrnEBrI31Yke886VvdkOve4gfeV2s1W1FAOJXbzXaM8bSS7MhpoNyW4H1ooOp+f2YHxa0DFzIbxUYa4o5ymkVlKWcVsYbXxcQVCjUN1iI1oZ6OatIQkOW9sKDrS4rAmB42ctmwtFYeCagCkwNtZ2BVhyUmL7Yf4038+6rP5ZHcQ9HxJDxVdj3RzGrsdp3mQW6+2FB5THt2nNxbcliYWvWzsK2eSrPwr4z/RX/oPviefv1lQmAP2A8BPXD43/YAPpZ2D+X9yuILTOwtf+FORgoafFTSFQosibqWW4i1McvPEdr7AqH34pS+VN4qzp0PYp/xMyt8TnTNu1t26nN9MSybWbS3LaN2jbdti2QqS/irYEtEQScI8G4WiWkOcZeTB3cJDj2JI6JAfXDuglWGHeLw3d5eJVDpXfTkUMp2hBrjIb05lg+G0htWMu0xAz8aGakeKaAWQ83c8Pgcx/2wlibe9IL4UX+6/fLRcnm/tYiMkgJv5ubaFoKoE2LIg6K1ogKbcG48oCoEtRx8Qi3HQs4R2oRedgYDnkQhg7ImlSU9HlxgrmFb6lV5r0oxcjEqHyRvsmhyp0CX5M+ZLtxmjryFW5o7ruYFyz5vG6CpunCgni/sAnXaEktL6RjRFssOfrs5aqVFtcjftJrossH20aKECn6OE4YL0bUtOa1x15y35FD6Lzg4uHRbWvXXmoDhKBH7+nfeLmB6+wHL/eAQLjx+cav5THCksZvCHiXPwg/vOyyY7cnveOv7gh1dt21ly/mJ2+HMEZzd2wzjCsecLHxm8bnIawOwTBEuNB9QCMt1Je14XNTLr8DEGoxMR4QfS568VJBWziXTR24zcZ1c4/arzjKM+386CvORuStkiA9du8RY9gwrnzABRB0tXK1pPULzbf0nLR1BY5AMUxV9KpaBVDGzceqMogr0pD1UYl1Zjx5Vtb+YsNV2dSukU8cupRYja8cKlXW9o9fAivW9o8dOiTOGn9/zVb6ktnZF605G+07JvXIyCcuPYTm3YdKJ8av3dY3fkj9OSROf72SvGjZshet0RZwuarVLlAT318tAdoVolafUN7481B/2T0jMXrxDV8l1sOn3rf24uu/Cp2rzkFt/A3X7l2fO3jDV9Cc+917Tl27TRxCe98CCoe12QtQ2BxuWrzIZKy5H4r6/VnJVUJxfMVsW/a61dmZdnFkxiZW/lMlAw4t9vSVRhP8bIS/FPXEji3Hly6a3efp6rCzc/3kusYvcv0UaG9RrH/uac0s9Ee00LxWUMm3SrddIvWA5dgcPhIKNVZIfYCvCYPX+DzP8NZnw0FUpOg/rF6zJhyGJ+TDSq+skXoV6uLhueNSrdSDp/8K36iFgqdVmc2HVYjob+TDeFI+bKSNuTdICg5rLc+KKnQGaUAB4fhXYtYmyu5VhPcV0obQ4nhYlvwGzfcCkz7h2y22eoGDCWlprJwYHasFc9Kmb3h+LgoA0JyNzjuMGw+qeSi8EYJpaONBDTVLE3EK+JkW09r8GXsyWKdMCYVQAamqkM+JfzY5/RYSgt+i3NT/kVCK//jkRz5y8NAh+BGl4qphiPvyKjMM/R9/+pGPHDp4UNZis/ZR7XMwKWMs9XOg6z7aOhmWzxAtBL+Fn2uDvkU0VpOpDTLYLh3rhPNUnM2HDOS0dd56rX0jB9SmuY/rYC6lumnQvQcsXuxavbqryC3Y3z2yD8EEyOAnkXLn01Bw9DzKqgx8mHEsVlevrhaRM/qBRHqAAjiyb2dO/yc5Af+uMaWntM5wicZpKqUwXFidX9ZFjC+igwRR/xlUB7q4XwrXJjrJMmy8Gy7CHsNBhm//Qgc88XUDAYHpOgMENL7+pnz+M+8UNx2jURv50PEwAMJFo/Dg5/Cz0B1CuORkBK55HiDa8C0bEZ53IBa94RBg6DfZo9Nm4zr4rMI8nv6e9jlyV4B51FIL+E3OedbaFumzHOVa22eh6wIeXNh2RLY3XQWT8zTU/9fQlh+9INwyoOAO7TC9ldTnKYgtKAXOc/bJC1CAT7QW1fjrc59poH3gNIN3qMiMFvPX51IrkCqt8QHqXHWVtNYOHVJq41sORZZm+MwWD8L+DnbgimcjmqYrLRNgvtViCODKZw4dIo5DrrnaIj8Xz5APIXNthgZfWHKqEmjJ+fI/6lCpbQ4dkqVf9R/UIZ8Pg/fMFlX8wpJjfhpIqRKUHJn4T5ujffWedsshhw5Z+Cvx4IRuAliGy5B8KKy03c3kQ3C7lgla3l/tItmStlwscLbRcK2+tXe8Y/jUyROzlmuYzp2N3zX+5U7nZpeZ7vL65UyfnT7kmsyNfuQjUV+L3inee0rLN9GYyUIT/95ca85XWZbpWNPfAOvr044dBTqZOnp/bXbZ6ANHU5MU4KjhhLbu27c1DBjV0Z6O7+6wrI7d8WkbVdzdgSP4E61XlCNe7SfX8xbvfV1upCLPlK8kpW6zXwNUBjeZNhIg+yJqpqLvnOVxYuyJIbzgRBada0+uXb6xgraDADM3eA9Wp3NgnbxN33SykxDTpVMn/TFOlf9TmbleV1H7LCZZMp5QAShenl8SWVAwhZUJgXZQ5/JTGxWfmvqdIAcAwgcNEt8zkCYQnHIKSNHcPFCZAxc3d6f7MknHpPjipdQ1ycDe4VF2pHoDGreme/0bL5olBkFAq7JhzcqTGkqqyBR+WUhWcmHMUzRELFYdg5KWIFPeXEeYEDiBGOX0Lx4bbzwMjUfiLjdtyuQy7Yzq2Hhv430u4OG5N4KGUsfCN4WOTWslwfemIvVbt6lhu+b1aWZea35JzgE+N69L4SVNzQk/VUryuRy5QYyTSnH++oymRG3qdA+Zgt8JOU/Ne1sTZD6UWK3oxbgIvk+F8PveY39JqEfpBx41KD45dwWsR1gP3zNN7jJRifciIQjLYZdreDD3RjzcUpuoigwr1EZgX3WqeqE/hMA35XAAT36RmqYOD+pS+Xf7A4UVwptOEj2pkx8TDDXW+uOApvyZPaKvP6l1qJwtvyMsNOSa64bA2EJccmDSyw9ctXx659St74xguvKu64YW9WUvel1teQhS5Vfji7/2OrNnqOc570zoTvpF+9dsTobfceWmEOLDyWTv1x9Itm9Yf+Nbso4eunzDpc+3K5vXXPH6xrF3/SoGdu6xW8s9kyOXvb6Sw+gdh26LK3l+gbB+/k5KTle8uWlIIu7THGg1dSWIDDURSgsWisG/WrZybDVHMajadDm19dRoW9dyKxwtRitEd3dv2D7KDMu2R7fvqQxw+NKxW3pKBqXGho1R3eSI3NIjGzcYNJcqMS+7+KpyZuU1yze+xLPSL9m4aXL5SqYpH8C3BK1fEuP8TolzVGmRZ2KficAX0+SzIjUYPhSD1UdR3kS8qx/Pb1DCS9+a3NWGJLZliDqLujaAdU16bWdFunmobccrnWvT11gwMpCPHuvtur43kokQDKUivVt7V79woq/bpCHbJOayQdZmUopfmhkhevciBtlF97MYXn8qs7pzcjBGSWZwsnN15tT1GGObrxKPx96+cdXsNdV0qZPq+Vy6umni4P6P9HRPpm1vZKMFoGp+saj5U0K7DmkaSP2aI82U2iBcE+g/CNJG57NG4QaX6ZxTA258v+c9fAvN0Jve4bim2VG641IXOl5zkuA1r41Gg28U0k4tFiLfeYsbdd/zO9P85UO2y+M803nf4+nGZa/8O6p/5VWRSPAtd5EQEvQr/Fttl+xLzTUvg3ZRS0bV1ZVmW/lk81SqeSXZ3LHmbKIHS+maoYnBWhinBqOpkRJSBJ1ZRaOEzpZpFu7Nb48hunXdskHcK43l0j0jycSm2vAKvUUel1YHKz07w5HVR0NcvAPAdpJFp7YsY85cZEKk+6g9bK8f0pMpAPESL35odqy/f1F/D3+WkAbeKNgoRuGU1iklUSIMg7WUgx2FiEjtiM1vQiCXOdloG2b3otoqGyD55bDrMgD6/ybahk0dNvRk8Fes8UXWvnyUpTPm6x+wGdwCp5A3dl6SjBi9t71tw/4pUeqy00VYid8Rur0gbUcfcueXnYqo9PsSk5hrIdmCivWEIdphQ6yhDWbY03X8SvbDAHDxSOchRvqQUGY2ftjbw+a6XP7kjqvXwLveWY15qnZF2IR/pR3UDku0ZSohK6Xipyr5nPEED45lQazqA1HqC8+aZpuovXTNpdTcVEZNgxeqEy4tmMiEqBYnGA5Rmb0IO3sJ2K6uy2YOGYA6N92Ww/kfgRtC1BFIjPpPi6OlHaWlOy/RdyLR2cqVjDKCkdpsIfRSRKoDRsaWIjKju+QQQvR3vbPl5Ogx9eu2zZcVQsePuYDpLZdx/0XveidPwWbbTTU+LBgP2jWnmeDPr2TOaH0ekoZjUVnrUQW2+5N9+2nUZOTRRwnhhEAU9//Hr37JoxaHb1nwLa5TiPJfKu3LIIm/Un40Ie9+qk4clQYbq//izGuYFaHz72iUrEaJW/4b3h/YQzJmscD8WGgA8Q70Ex3gSNPmaDGBlDHy23kT48ZnGz4P3N79ym26NEN8C0j7Df5UxutiC80auSug3wWURTZvkj3LFlrUtHIAgRaFWWZQNPZGyLwVhP8wb9F0LcqS8HW36UvrGytADYdO35i457Zn2T8BYkt/2sdqx4rJC6O136EvC4X+42Pnx5CBZ1wQq60iJ0+zyH8JEb3T05efDxj2Hx+9MCJa1Znbotw1ss4XLvXCLPn389LEL8Ss8xN8YT4KXA6LoKssEeU2+aNRUKVqEwkFUfpb5VX5z6nzYKHopwMvDDb+tomIen/gdLkwHgrmEVEB1YM+bqveChSqlsq6sr4vDDBaFNbtM5AhAGh8SiQrePS758YZ/Wfee90Z5BCAHjo/zMi3TH/CLUFpUrtIcriV0ib7LkjthZoEonrHwro83mTwBP3MeWq05Nzt9f4zFQ2O/vI8lT1f+wW6gkX+x7hYfdV5e8vj/z1cbFbT8Ov4PoUhEgWqldflrpC1eW9wsRD4GeRMIRKWVmuQFJ30lylKNB+LFIP7lWkck7f8+/h1I57oMwHMvkQakWHj/Y0PiC9Mi6uIwdVw1yVte+IuVb9FKMvrcYM54V3Ld4Udhq9ijm7LdIgfEZsRL0oBaNQjzGaQgiST1yIMwfDk75jcbhIKkGO27jDD1AH01shqt4x8dAVCdcGgOw3cuyL4bhsyzP2bTSvOE3+f+9MAXrA1ZYX9ePdZY/FGWMTif9YaT1W09WqjZ2LyVEnEeYPyWkBdEJxv/OjUoRAa9jnD83N/HpAH16o4Pduw+HjYSp0jUN/w5jESLzvdgy9QM32Juksp3Eogqxruwyg3G8OU8hh14XH8FBOHlv7MKSQRg2fIxdr/H9HjaLgAAQAAAR4AqgAFAAAAAAACAAAAGACNAAAAHg4MAAAAAHjaXMEDEBQAAACwt23btm0r27Zt27Zt27Zt27ZObQAAgPRvHDAOyAIuB5VAr8BccBLcGXwVAoEYIH5IFUg3yDEoGFoeegyGhTWHnYLz4JMQYIQV0R4xB3ESCUTWRoFRNVCX0C70KPR3TFXMVWwA2xt7E1cftxLPxjfDbyMwCcuJIeJGEoXUjLSOrCOvpKAoZSkNKQMpUyn7KeeoCepC6jtahjaR9og+kv6NEWSMZGKYCeZDVjnWeNYPdiX2Jo6MU52znvON25z7kpfhTeZ959P4Lflz+HMEAcFRwWchXVgQ9hXuED4RtRFtFzvF6yWVJROlWKlXeltWSzZVtl/2QPZBzpQH5M3kg+V75O8VSkULxRQlQFlWuUr5WVVOtV2dUV/S1PtvW00fzWrNda1R20N7QzdEd1L3Rq/SLzbUMhw1VjAZTVfMLHN982zzG0sFy02rxTrIetPmtg2yXbRL7Xl7J/ss+z4HydHQccBJdTZ3vnZ1dq12C91J9zH3B4/H098z0XPE89gL97bwTvOu9z7yZX1bfY983/1Of0v/HP+tAD/QLrA78CWYDm4JxULzQrfDxHDZ8PDwo8jZKDFaik6M3oiZYrPjyLgr3ig+NL4igUtUTuxKkpJtk6OTq5Inkk9T/FQ+1Si1Ig1Nx9MD00fSjzKIjCwTy7TOzM/cz1qztbKTswez73O53Ny8MN8i/6ggKVQsPCxii7pig+Kq4ouSujSm9HPvgp2Dj4eIhvSE3ArVCvUGADfwv3YAAAEAAAABAADeUPQBXw889QAPA+gAAA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) 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) 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) 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) 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) 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) 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) 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BQMHBAwIBwAAAgA3AAABoALAACMAJwAItSUkEwYCMisTNCYnNDc2MzIXFhYVFAcGBwYVFSM1Njc2NzY2NzY1NCYjIgcTNTMVUxsBJzw8KAtGUThXCwFOAQoZSQIKAhExM0o6UmICQAFKAQQTHQEJT0VIMEtgBiEeJzgpYUACCQEWISwjLv25YmIAAAIAOP/1AmQCwAA6AE0ACLVFPAgAAjIrBSImNTQ3NjY3MzIXFhcWFxQHBgYHBiMiJyYmNDY3NjMyFxY1JiYjIgcGBgcGFRQWFxYzNjc3MwcGBwYDJiMiBwYVFBcWFjMyNzY1NCcmAYSLwRIhnGMQUDUYEDkDBAxXOwcUFQZFXl5FBhUmFwUPNx8THktnDQF+XQsYQTQPUA4VG0opCgQVFDkNDi4aFxI5DRkL05M/OGSBCSUQGFCrOBVGYwsBAQ5/rn8OAQwCAR4kBhR+WQofcZ0LAQMSBQ8VEjAB/gIOKGQwHyQnDihkMB9AAAIAHAAAAn4CtgAQACAACLUfFwIAAjIrMxM2MzMTEhcUIyMnIQcUBgclLgMnJxUGBwYGBwcUMhz8ATQ0fn0CNjZC/ugBPAUBQAsqFxwJAQlVBQoDAuQCtQH+p/6nAgK3AgOmDP8heUZaIwcFNfMMHAcHAgAAAwBaAAACYgK2ABoAKQA7AAq3MCwfHQEAAzIrMxEzFhcWFxYVFAcGBzIXFhcWFRQHBgYHBgYHEyYnIxUzNjc2NzY1NCcmEyYmKwIVMzY3NjY3NjU0JyZaiZIXcDIZCyRvBSdsHAURFVk5FiKCawdOSklTG0wfDEIdJyIyMCtHVlsXMEQIAiISArYBBBVKJyYYGEcjCydVFBAjIis+CwUBAQJtAQHgAQcRMxUUMiAP/sQRCfwBBQo0IgoHKSISAAEAO//1AksCwQApAAazJBkBMisBJiYjIgcGBwYVFBcWFxYzMjY3NxcWFhQHBiMiJyY1NDc2NzI2MzIXFhUCLytINBAHVjs8ISdGKTI4RS4NAQIDLD9UqmJFblBxAxQHT08bAjscGwEJTk5xVD9PIRQWHgkTEykIFh+LYXqebFALARkKAwAAAgBYAAACmgK2ABEAIgAItRYTAQACMiszETMWFxYWFxYVFAcGBwYHBgcTJiMjETMyNzY2NzY1NCYnJliVlQ1viw8CAg9VRl4NlnoLUU5OUgc2WRwmRz8mArYBAhOodhQXGRCCVkQPAgECbQL92AEFOzBDWlyHIBIAAQBWAAACKgKzAA0ABrMBAAEyKzMRIRUjJxUhFSEVMzcVVgHHr7ABQ/69trYCs1AB10zsAVYAAQBWAAACDgKzAAoABrMBAAEyKzMRIRUjJxUhFSERVgG4qKgBJ/7ZArNQAeRM/swAAQA7//UCVwLAACgABrMUCQEyKyUyNzUjNTMRBwYjIicmJjU0NzY3NjMyFxcUBgcmJyYjIgcGBhUUFhcWAYgwQnbTC19kLS9niz8xTkJFWkMxEAEEBUpiDwdYdl1JHkQQi0z++wUsDR+8fXRfSSkhGRcEXgEDBD4BCpxwY5IYCgABAFYAAAJtArYACwAGswEAATIrMxEzESERMxEjESERVmgBR2ho/rkCtv7ZASf9SgFD/r0AAQBXAAAAvwK2AAMABrMBAAEyKzMRMxFXaAK2/UoAAQAr/+oBhAK2ABUABrMHAQEyKyURMxEQBwYGIyInJzc2Nzc0FxYzMjcBH2UBBl5LSU4SAwQEBAcpS1USgQI1/un+5QdFTiEJFhcXFgEHM0QAAAEAWAAAAosCtgAVAAazAQABMiszETMVFwEzBwYGBwcWExcjLwIGBxVYZAEBUHGDIEIRERjuDm5qdApQKQK2r7ABX4khRRISKP6bFqCwD1Qq4QABAFcAAAHzArYABwAGswEAATIrMxEzETczNxVXaGqaMAK2/ZkBAVEAAQBcAAADDgK2ACUABrMBAAEyKzMRMxceAhcSFxc2Ez4CNzczESMRAxQOAwcHIycCJyciERFciAUBCxEImQwBEpUIEQsBBYldAQ4lIkwbFVccpQsCAQK2DgMdLhT+ZjkJTQGPFC4dAw79SgExAS0NMmpZxkg3SQG6PAv+0P7PAAABAFgAAAJrArYAEgAGswEAATIrMxEzFxYXEhcRMxEjJzQnAicnEViTEQg2lT9dkxE+uBgEArYjE23+zYwCYv1KIwGAAXg9Cv2dAAIAN//qAqgCywAcADAACLUrIQ8BAjIrEzYzMhcWFhcWFRQHBgYHBiMiJyYnJicmNTQ3NjYBNCYnJiMiBwYGFRQWFxYzMjc2NuNCRBkUQXAnOgQQk24QExQQYEcjGTIOE1IBll5RHgkKBFZnX1QIFhUIUWICpCcCCk9AX3khGXarEQICD0cjLFlvNjhHdP7mZpoSAwEKoGpxqBICAhGoAAACAFgAAAJHArYAEAAfAAi1FRMBAAIyKzMRMxYXFhYVFAcGBgcGIyMREyYnIxEzNjc2NzY1NCcmWI6PDVZvBQ5uSwpaV6UHUk9PUgdsFAEYIgK2AQINdksSF0JdCQL+7gJtAQH+7AEBEloGFi8gLQAAAgA3/4MCqALLACUARwAItUE3FgQCMislHgIXIyYnBwYjIicmJyY1NDc2Njc2MzIXFhYXFhUUBwYHBgcGJzQmNTMXFjM3NjY3NjU0JicmIyIGBwYVFBYXFjMyNzI2MwIYATE5CXkjLAwhJnBcIxkyDhNSOUJEGRRBcCc6BA9BEx8KhFlqICABBgYPBD5pVgYNMVUaNWRRChUWBQIEASMBRk8KMUQEClgjLFlvNjhHdCInAgpPQF95IRlvURgaCBkCggEsLQUGEQVQf2+oDAE3KFB1b54QAgEBAAACAFgAAAJpArYAGgAoAAi1Hx0BAAIyKzMRMxYXFhcWFhUUBgcHFxYWFxcHIic0JycjERMmJyMVMzY3Njc2NCcmWIuPCTcoNj1TQQwLDDMUXjQ0AVhXlLINU1JSXBlUEgICEwK2AQEJFBpVMDtfGAYUFFUjnwEBAZqZ/ssCbAIB7gEGFEMGJgZKAAABACz/6gH0AswAPQAGszcZATIrNzcWFxYzMzI3NjY1NCcmJicmJyYmNTQ3NjYzMhcXFAYHJicmJiMiBgcGFRQXFhcWFxYXFhYVFAYjIicmJyYsEjtfHR0MERAmMTYOHDM/FzNDChZ1T1dNFBEBAwQlRjU0QwsCAQwxED1AGTdDgGQcGVhQBzJgOxMFBgw9KD8jCgkNDwwYWzwgG0FOJwoBYQEDAyAcLicGEg4FMBcIDxAMG2Y9WX8EDDEFAAEAJAAAAoQCsAAJAAazBgEBMisTNSEVIycRIxEHJAJgfn5ofgJgUFAB/Z8CYQEAAAEAV//qAlgCtgAjAAazHAEBMisTNTMVFhcWFxYzMjY3NjY3NTMVFBUGBwYVBgYHBiMiJicmJyZXaAEBCiQqQjtTDAQBAV0BBAEOVDktMU98Hg8IAQHC9PX2CUAkLUk4ES7Q9fQkOp4RAwE+YhUSUj8eKwkAAQAOAAACjAK2ABgABrMUAQEyKxM0MzMXEhcWMzQ3NhM3MzIVBgIHByMnJgIONjYYsw4BAQ0kjBwvLwL/BQNsAwX/ArQCPf4sSwMFLXMBb0sCAv1gCAoKCAKgAAABAA4AAAOhArYAMAAGsyMBATIrEzQzMx4CFxIVFzY1NDc2EzczFxIXFzc2EzY2Nzc0MhUUAwMjJycCJycHBgMHIwMCDjIzAhYdBmABAQgZZBZhHXcJAQIJeQYOBANYZGMzMxaACAECCXgcYWNkArUBCUtkFv6nNQUBBgkueAFdTmj+YE8LC1IBpxUwCwwCAQL+p/6mAUoBwUwLC1L+X2UBWgFZAAEADgAAAowCtgAgAAazCQABMiszNzY3NycuAiczFxYXFzczBwYHBgYzFBcXIycnNAYHBw5BQUJBeh4+IAF6TlcBCqtxAQNyND8BiYl5Zmc2LmJcW1xcoSdTKgJueQIN9gIDoUpYAbe2kpIBT0SSAAABAAQAAAKXArYAHQAGsxcBATIrEzczFxYXFDc0NzY3Njc3Mw4EBwcRIxEnJiYnBDw9MaEFBAELJ20tCWkBDxshLBaKZYsfShECtQFJ8w4FBwECFTylQQ4BFycxQiHO/usBFs8ubxoAAAEANwAAAjACtgAXAAazDQEBMisTNSEVAwIVMzI2NjMzFSE1ExI1JiMiBiNFAea2tywKOFkejf4HtrcHGgddKgJpTTP+5/7nAgEBUTUBGQEZAgEBAAEAXv8GAQoC7gAHAAazAQABMisXETMVIxEzFV6sVVX6A+hM/LBMAAABABb/BgDCAu4ABwAGswMBATIrEzUzESM1MxEWrKxVAqJM/BhMA1AAAQBPAg8BpQK2ABMABrMHAQEyKxM3MxcWFxYHIiMjJicGBwcjJjU2kkJLQkADAQMEHyZAHwYtLSYlAwJkUlJQAwEBSiYGNTUBAQMAAAEAAP+OAfP/2gADAAazAQABMisVNSEVAfNyTEwAAAIAJv/2AZcBzAArADoACLU1Lg4BAjIrEzYzMhcWFhcWFRUjNQcGIyInJiY1NDc2NzY3MzU0JyYmIyIHBgYHBycmJjUTFBYzMjY3NjU1IwYHBgZbQUciBjZMCQFaCz5VFggpMgENNUh2EwEFKx1LQAMHAgIBAgMvMiIkNgsFCz80JBwBqiIBC004CZqYJwcqAgtIMxAEKRoiBRkcBSEsKQIFAQESEigE/t0bISAaDR0UAgwJEwAAAgBL//UB4gK2ABkAKQAItSUcFw0CMisTNjMyFxYWFRQHBgYHBiMiJyYmJycVIxEzFRMWFjMyNzY2NCYnJiMiBwemT1sZFCw5DA9AKRYZRTkCBAECXVoDEiggEQY1ODMwDA4zJQkBlTIKFnhNOCMySg4IKwEDAQEmAraQ/lAaGgELT4BSCgIlCAAAAQAi//YBngHMAC8ABrMkAQEyKxM2MzIWFxYVBxQmJyYmIyIHBgYVFBYXFjMyNzcXFhcXBwYGBwYjIicmJicmNTQ3NmU+Ujk3KgsOAwMiNC4aCS4zKiYVHElCDgIBAQICAgkDRkwbBkpiDAEBDAGLQQwYBwJNAQICFhICDVI8NU4QCSYIFRUUFAIBBAIhAQ1sTwYaGwhSAAACACH/9gG5ArYAFAAoAAi1IhgHAQIyKwERMxEjNQcGIyInJicmNDY3NjMyFxcuAiMjIgYHBhUUFxYzMjc2NzcBX1pdCj5OFQlFJR08MRscTkMGDhIhFAkkOhASYwYTEggnGwYBmAEe/UosBy8CE086mHYYDSlNDg4NJR4kN4IXAQILJAkAAAIAHP/2AZ8BzQAjAC4ACLUmJA8BAjIrJQYjIicmJicmNTQ3NjY3NjMyFxYXFSEVFBcWFxYzMjc3FhUUAyYmIyIGIwYHBhUBmEpSGwdKZQ0CAgxkSQcNUzAtBP7SCyBMBAxUQQYGRQ4wLQMJAjgdCyAqAQ1tTRAUExBOcAkBPTpoEwQaHVENAS0DRgUGAQEtMwELOxQFAAEAGwAAAVsCwQAfAAazEwABMisBMhcVJyYjIyIHBgcGBhUVMxUjESMRIzUzNTQ3NjY3NgEGKSwLIR0IKxgJAgUCamdaQ0MBB1E6BQLBC1IEDBcLBQoUND9J/o0Bc0kwNAY7VgkBAAMAHP8yAeUBxwBAAEoAXQAKt1NLSEM3CQMyKzcmNDc3JyY1NDYzMhcmMTQ3NjMzFxciJyYjIgYjBycXFhUUBiMiJyYHBhUUFxcWFxYXFhUUBwYGIyImJyY1NDc2NjQmIyIGFBYzMgMyNjU0JyYnJiMiBwYGFRQXFhZSFhQGBhliRzkqBQ9BQwYHBwMDIysEDQMTBQEfZUMsJwUCBh5IVBhTHxYCEH1OUHwQAhUC/SspJioqJikLMlcQETASSDcIERcCC08mHU4jCQopLklgIgYBBBcnJwEHAQEEAi01SV8XAwIJESQJAQEEDi0hJBcHMz8+NAgQJCQD6lwyNVY1/rsjHhQQEwcCAgQhFgwFGBsAAQBJAAABuwK2ABcABrMWBwEyKxM2MzIXFhcVIzUmJyYjIgcGBwYVFSMRM6M8VG8UBAFdAQEOSyMUHwYBXVoBizxlF6eknZ4FOhQfOweEgQK2AAIAQwAAAKsCqAADAAcACLUFBAEAAjIrEzUzFQMRMxFDaGFaAkBoaP3AAbz+RAAC/8X/MwDAAqgAAwAaAAi1DAUBAAIyKxM1MxUDETMRBgYHBgYjIicmNDY3NBYXFjMyN1hoWloBAQYNPy0oMCIQAgMDHiQyEQJAaGj9agIS/vjhMhIoNBENCEIFAQIEGSIAAAEATAAAAdcCtgAYAAazAQABMiszETMRNjczBgcXFhYXFyMnLgInJwYGBxVMV2NObVJRBgOlAwhjPw8iFQIJDC0LArb+S2dUVFgJBPMEDFwWMh8DDQwwDIsAAAEASgAAAKQCtgADAAazAQABMiszETMRSloCtv1KAAEASQAAAtABxwAqAAazCwABMisBMhYXNzYzMhcWFxUjNSYnJiMiBwYHBhUVIzUmJyYjIgcGBwYVFSMRMxU2ATAxOhMHO1hvFAQBXQEBDksjFB8GAV0BAQ5LIxQfBgFdVz8BxyMlCEBlF6eknZ4FOhQfOweEgZ2eBToUHzsHhIEBwjo/AAEASQAAAbsBxwAbAAazCwQBMisTNjcyNjMzMhcWFxUjNSYnJiMiBwYHBhUVIxEzoDdEAg4EA28VBAFdAQEOSyMUHwYBXVcBiDcHAWUXp6SdngU6FB87B4SBAcIAAgAc//YB1wHMABEAIAAItRwUDQICMisAFAYjIicmJicmNTQ2NzMyFxYXNCYjIgcGFRQXFjMyNzYB135fGwhDYw4Hc1kMHwZSDkM+MSUoPBwoFxBYATm8hwINXUIbH1mLCgEO10dUIyhQZCoTBSAAAAIAS/8+AeMBxwAVACMACLUfFxEBAjIrEzYzMhcWFhUUBgcGIyInJiMVIxEzFRMWMzI3NjY1NCYjIgcHpkhjFQk0QFVDBhNIOQgBXVoDIDkRBS9ARjYzJgkBlDMDEIdPVoIPASoG6AJ+FP7ONAELVDw+XCQIAAACACH/PgG5AccAFQAkAAi1IBgMCgIyKzc0NjczMhcWFxc1MxEjNQcGByInJiYlJiYjIgcGBhUUFjMyNzchXUULHQY6KgpaXQo+ThsRNEUBPg8pJxkYJSxJNDklBtxdhAkBCyQIOf136wYrAwYQgp0lKAwTTS9BWjIIAAEASgAAAUcBxwAPAAazCwEBMisTNjMzFSMGBgcGBxUjETMVq0JTBwo4VAoCAVpVAYVCUgRENQl4dwHCSQAAAQAc//YBaAHMADMABrMXAAEyKxMyFxQHByYjIgcGFRQXFhcWFxYXFhUUBiMiJyY1NxcWMzI3NjU0JyYnJicmJyY1NDY3NjO+UkkHB0xDMg0GHQoxMBc3EwhXTkxJEg8KRUc/DwMaDTA0FDEUDUQ9BQgBzB8BKCclGgwMHQ8FCgkMHTQWF0RIIggDUAYpJgkIHQ8KCQsKFiwZHDlFBwEAAAEAEv/2AU0COwAeAAazEQQBMislFxQHBiMjIicmJyY1NSM1MzUzFTMVIxUWFxYXFjM2AToTIDo7DA4MJwgETVBUhoYBAggXBQ0rYkcCDhUHGkQWinhJf39JdncLLAkCAwAAAQBJ//YBuwG8ABkABrMTAQEyKxM1MxUXFhYzMjc2NjU1MxEjNQcGIyInJicmSV0BBh8iTxsFAV1aB0RuIBImBgEBDLCwsBUMOQwoe5n+RCcELQkTPwgAAAEADgAAAb4BvAARAAazAwABMiszAic0MzIVFhcSFzYSNzQyFQOyowEuLwISYAkBXB9apAG5AQICAjT+/j8hAQpMAgL+RgABAA4AAAKcAbwAKAAGsxoAATIrEzMXEhcVNzY3NzMXFhcWFTc0NzY3NzMGDwIjJwInJwcUBwYHByMnJw5bA1QIAQVMDlUSSAcCAQgPOhJYHiVDMzMDVgUBASUqDAMvL0MBvAr+7lYJCkX/LT/yOQoDAQwkSMQ6ZHrdAQoBHEkKByaKkCcLAd0AAQAAAAABzAG8AB0ABrMSAQEyKzcnMxcXNjc3MxcGBwcXHgIXFyMnJiYnJwYHByM2u7VlPDwbIDoxMQOMIFYVLh0BCmVBDiQICR0jP2S75ddLSyIpSwEGqSdmGTYiAgxYEzEKCygxWOIAAAEADv80Ab4BvAArAAazGAQBMis3JyYnNDMzFxIXFzU2EzczMhUHBgIHBgcGIyInJiYnJzQmNRcWMzI3Njc2NshcXQEvMA1sBgEIZwgtLTIzaQQbJBYmGQoGEQYGBwwfIw0GDw8GHwHd3AEBIf8AUAoJVwEHFAGCgv70CEMbEQEBAwEBAU4BBAwDCBwMUQABABwAAAGSAbwADwAGswoBATIrEzUhFQcGBwc3MxUhNTY3ByoBZm5mFAx7e/6KdIF0AXJKMY+GGhABTTOapgEAAQBTAMEBoAFHABsABrMQAgEyKzc2NjMyFxYXFjMyNzUzFQYGIyInJicmIyIHFSNTAzgsGiQiEwQHGQNMAzcrGyUiEwQHGQNMzDRHGxkEAS0MCzRHGxkEAS0MAAACAGcCRgGMAqgAAwAHAAi1BQQBAAIyKxM1MxUzNTMVZ2JhYgJGYmJiYgACAFECDwEtArYAEwAaAAi1GRUMAgIyKxM2NjMyFhcWFRQHBgYjIiYnJjU0FzQjIhUUMlMKOyUnPAsCAgo9JSg6CgKkPDBsAncbJCMcCAwNBx0jJBwHDQwNKSkoAAEAiv9AAR//6AAPAAazCgEBMisXNzMyFQcGBg8CIjU3NjavJCYmBQQRByAqKgUFE2pSAgsLKxNRAQILCywAAQBKAAAApAG8AAMABrMBAAEyKzMRMxFKWgG8/kQAAf/F/zMAwAG8ABUABrMPCAEyKwcWMzI2NzYRETMRBgYHBgYjIicmNTcjHyYYJQUCWgEBBg0/LSgwIgxfHxURBgEHAQf++OEyEig0EQ0EJgABAE8CDwGlArYAEwAGswcBATIrEzczFxYXFgciIyMmJwYHByMmNTaSQktCQAMBAwQfJkAfBi0tJiUDAmRSUlADAQFKJgY1NQEBAwAAAQBOAecBpAKOABMABrMQAgEyKxMmNzIzMxcWFzY3MxYVBgcHIycmTwEDBB8mLS0GH0AmJQNAQktCQAKMAQE1NQYmSgEBA1BSUlAAAAEARQIoAa4CdwADAAazAQABMisTNSEVRQFpAihPTwAAAQDHAg8BoAK2AA0ABrMIAQEyKwE3MwcUBgYHByMnNzY2AQU+XQISJg9FJiUICCECZFICARUtEVEBCwssAAABAFMCDwEsArYADQAGswgBATIrEyczFxYWFxcHIycuAlUCXT4NIQgIJSZFDyYSArQCUhIsCwsBUREtFQABAEkB/AGqArYAFAAGswoEATIrEjI2NzUzFRQGBwYjIiYnJjU1MxUW0FQ3A0w1JykrN1IVE0wDAk83JwkFNFQXFjotKCYFCScAAAEAVwJAAL8CqAADAAazAQABMisTNTMVV2gCQGhoAAIA3wIPAbsCtgATABoACLUZFQwCAjIrEzY2MzIWFxYVFAcGBiMiJicmNTQXNCMiFRQy4Qo7JSc8CwICCj0lKDoKAqQ8MGwCdxskIxwIDA0HHSMkHAcNDA0pKSgAAQBTAh8BoAKlABsABrMQAgEyKxM2NjMyFxYXFjMyNzUzFQYGIyInJicmIyIHFSNTAzgsGiQiEwQHGQNMAzcrGyUiEwQHGQNMAio0RxsZBAEtDAs0RxsZBAEtDAACAGUCDwGgArYACgAVAAi1DwsEAAIyKxM+AjczMhUGBgczPgI3MzIVBgYHZQMQFg8vLgNEAloDEBYPLy4DRAICDwouQywBB5gHCi5DLAEHmAcAAQBXAAAB8wKzAAYABrMBAAEyKzMRIRUjJxFXAZyamgKzUAH9nAACACoAAAMWArYACQAWAAi1Eg0GAQIyKxMTMxMSFxQgNTYBJiYnBwYDBxczNCcCy59sn6AB/RQBAXICBQECD8UL4eEenQFcAVr+pv6mAQEBAQJGBhAECjj+WhcBAz4BVgADADj/6wLSAswAGwAwADQACrcyMScdFAQDMisTNDY3NjMyFxYWFxYUBwYHBgcGBwYjIicmJicmASYjIgcGBhUUFhcWMzI3NjY1NCcmATUhFTizgAgRST9RZwwCAg9CHhZFWAwdHgx1ng8BAWwQGC8rP0pxWQgZKyZHVDE6/swBZwFYl9AMASEommMWMBRyVCMROA0CAhKxfAoBRwIZI41ecZwRAhAekGNqTlv+v2JiAAEAHAAAAkYCtgAWAAazBQEBMisTEzMTEhQjJycmJwInJxUUBwYDByMiNI1xZ3BxNzYEAReMCQIbKmoCLSwBXAFa/qb+pgIBCgVHAa9RCwQYYpr+vggCAAADACoAAAJwArAAAwAHAAsACrcJCAUEAQADMisTNSEVATUhFQE1IRUvAjz+BAG8/f8CRgJYWFj+4ldX/sZYWAAAAQBWAAACbQKzAAcABrMBAAEyKzMRIREjESERVgIXaP65ArP9TQJn/ZkAAQA3AAACmgK2ABcABrMHAAEyKzM2Ejc0Jyc1IRUjJxcXFhYXFwcGBzczFTcG4AN0dQJj7u4JERE0GWZaUgzb2woBPwMCjI1PUAELFBU/HnuBdREBVQABADcAAALSAswAKgAGsxkKATIrASYmIyIHBgcGFRUjNTQnJiciBwYHFSM1NjYzMhcWFxYXNjc2NzMyFhcVIwJ1AigeFxM8CgRoBhJXIBAbA10FXEMQDkQkFg4BAiJ+BUFfBV0CMx4tCByBI+zKyvssiQQQFiUICkBXAg1KKksBELYHV0AKAAMANwAAApoCtgAbACkANwAKty4tKR0YCgMyKyUmJjU0Njc3MjU1MxUzFhcWFxYUBwYHIxUjNTQ1NCMiBwYHBhQXFhcWFxMmIycRNjc2NzY1NCcmATdnmZBhDwFiAyMdeS8VFTmvA2ICEhxYEQICEVwQHHQJBQQsE0oPAigoaw+BYFyBEQI2NWsGCShhK1oqex5rNjXwow0iVggsCFYkBQYBQgMB/roLCCVNCBZAKygAAQA3AAAC0gK2ADkABrMdAQEyKyURMxE2NzY3Njc0NzYzMhYzMxUjIgYjBgYHAgcHFSM1JyYmJyYmJyYnIiYjIzUzMhcWFxYXFhcWFhcBVGIoEScQCwEfEBQDGws0AwEGAh0TAgjOCGIOVmoMAgcCDR8CBgEDNDUDHAsMAQEFCTkuuwH7/gURDyE/KU+MIQ4BTAEIPjr+8yYBbGwCEHxgDXULMQgBTAEHKCZkQh04Tw8AAAEALAAAAqUCzABCAAazFwIBMisTNjYzMhcWFRQHBgYHBgcGFRYzMjYzMxUjNTY3Njc2NzY1NCYjIgYHBhUUFxYXFhcWFxUjNTMyFjM3NCcmJyYnJjU0RR2daJNcRAEEIiwsCg4CCwItFVH8BCQQCy8LDHBZVG0IAQwLLwsQJAT8URUtAg0OCixDCwUCGU1mX0ZZDQctWU5PGSMFAQFWDkFZJBhnLCorUGNZRgYOKyosZxgkWUEOVgEBBSMZT3hBGxQmAAABAAAA7AHzATgAAwAGswEAATIrNTUhFQHz7ExMAAABAAAA7APnATgAAwAGswEAATIrNTUhFQPn7ExMAAABAFoB1wC9ArYADAAGswsDATIrEzY2NzMHBgcUMzMVI1oJIQgxDw8BDw9iAjgVVBU9PQECYgABAFkB1wC8ArYACwAGswUBATIrEzUzFQYHIzc2NzQjWmIRIDIPDwEPAlRiYSpUPT0BAgAAAgCuAdcB0wK2AAwAGQAItRgQCwMCMisTNjY3MwcGBxQzMxUjNzY2NzMHBgcUMzMVI64JIAkxDw8BDw9iwggiCDEPDwEPD2ICOBVUFT09AQJiYRVUFT09AQJiAAACACAB1wFFArYACwAXAAi1EQ0FAQIyKxM1MxUGByM3Njc0IzM1MxUGByM3Njc0IyFiESAyDw8BD7NiESAyDw8BDwJUYmEqVD09AQJiYSpUPT0BAgABAAAAfABqAAUAAAAAAAIAAAAYAI0AAAAgDgwAAAAAAAAAEgASABIAEgAxAFsA8gFTAdsCcwKNAqgCwwMlA00DZgN1A4MDpQPkBAgESQSmBNYFIAWGBawGBwZuBoQGpQbSBxMHiAfCCCEIZAigCLsI0wkTCS0JPAllCY4JogniCgcKVwqPCvwLQQufC7cL8QwfDHEMqQzdDQcNGw0vDVUNZA2/DgQOUA6TDt4PEQ+ZD8IP2RAKEDcQRhCIELYQ7hEpEWYRhRHVEgYSMhJVEpkSzhMVEzUTYxNjE3gTphPFE9QT/BQiFEgUWBR3FJUUuhTJFPcVJRVOFWEVkRXpFhUWNRZKFnUWuBcQF2kXyxfaF+kYBBgeGEwYdgAAAAEAAAABAABEf7sLXw889QAPA+gAAAAAAAAAAAAAAAAAAAAA/8X/BgPnAu4AAAAIAAIAAAAAAAAA+gAyAAAAAAFNAAAA+gAAAT8AbgH0ACADQQA4AfQALANBADgC9gAqARYAWQGFAEoBhQA3AfQAPwMKADgBFgBZAU0ACwEWAFoB9AA4AfQAJwH0AFMB9AAqAfQAKgH0ABwB9AAhAfQAKgH0ACoB9AArAfQAKgEWAFoBFgBZAwoAOAHYADcCmwA4ApsAHAKbAFoCfwA7AtIAWAJVAFYCOQBWApsAOwLEAFYBFgBXAdgAKwK2AFgCHgBXA2sAXALEAFgC4AA3An8AWALgADcChgBYAiwALAKpACQCsABXApsADgOwAA4CmwAOApsABAJjADcBIQBeASEAFgH0AE8B9AAAAeEAJgIFAEsBvAAiAgUAIQG8ABwBMgAbAfQAHAIFAEkA7wBDAQv/xQHpAEwA7wBKAxoASQIFAEkB9AAcAgUASwIFACEBVgBKAX8AHAFpABICBQBJAc0ADgKrAA4BzQAAAc0ADgGzABwB9ABTAPoAAAH0AGcBfwBRAbwAigDvAEoBC//FAfQATwH0AE4B9ABFAfQAxwH0AFMB9ABJARYAVwKbAN8B9ABTAfQAZQIeAFcDQQAqAwoAOAJjABwCmwAqAsQAVgLSADcDCgA3AtIANwMKADcC0gAsAfQAAAPoAAABFgBaARYAWQH0AK4AIAAAAAEAAALu/wYAWgPo/8X/1wPnAAEAAAAAAAAAAAAAAAAAAAB7AAIBlwGQAAUAAAKKArwAAACMAooCvAAAAeAAMQECAAAAAAAAAAAAAAAAgAAA7xAA7O0AAAAAAAAAAFBmRWQAQAAgIB0DIP84AFoC7gD6IAAAj14DAAABvAK2AAAAIAABAAAAAgAAAAMAAAAUAAMAAQAAABQABADwAAAAOAAgAAQAGAA7AD0AWwBfAHoAfgCgAKgAsAC4ATECNwLHAssC2gLdA5QDmAObA54DoAOjA6YDqSAUIBkgHf//AAAAIAA9AD8AXQBhAH4AoACoALAAuAExAjcCxgLJAtgC3AOTA5gDmwOeA6ADowOlA6ggEyAYIBz////j/+L/4f/g/9//3P+7/7T/rf+m/y7+Kf2b/Zr9jv2N/Nj81fzT/NH80PzO/M38zOBj4GDgXgABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwACwgsABVWEVZICBLuAAOUUuwBlNaWLA0G7AoWWBmIIpVWLACJWG5CAAIAGNjI2IbISGwAFmwAEMjRLIAAQBDYEItsAEssCBgZi2wAiwjISMhLbADLCBkswMUFQBCQ7ATQyBgYEKxAhRDQrElA0OwAkNUeCCwDCOwAkNDYWSwBFB4sgICAkNgQrAhZRwhsAJDQ7IOFQFCHCCwAkMjQrITARNDYEIjsABQWGVZshYBAkNgQi2wBCywAyuwFUNYIyEjIbAWQ0MjsABQWGVZGyBkILDAULAEJlqyKAENQ0VjRbAGRVghsAMlWVJbWCEjIRuKWCCwUFBYIbBAWRsgsDhQWCGwOFlZILEBDUNFY0VhZLAoUFghsQENQ0VjRSCwMFBYIbAwWRsgsMBQWCBmIIqKYSCwClBYYBsgsCBQWCGwCmAbILA2UFghsDZgG2BZWVkbsAIlsAxDY7AAUliwAEuwClBYIbAMQxtLsB5QWCGwHkthuBAAY7AMQ2O4BQBiWVlkYVmwAStZWSOwAFBYZVlZIGSwFkMjQlktsAUsIEUgsAQlYWQgsAdDUFiwByNCsAgjQhshIVmwAWAtsAYsIyEjIbADKyBksQdiQiCwCCNCsAZFWBuxAQ1DRWOxAQ1DsAJgRWOwBSohILAIQyCKIIqwASuxMAUlsAQmUVhgUBthUllYI1khWSCwQFNYsAErGyGwQFkjsABQWGVZLbAHLLAJQyuyAAIAQ2BCLbAILLAJI0IjILAAI0JhsAJiZrABY7ABYLAHKi2wCSwgIEUgsA5DY7gEAGIgsABQWLBAYFlmsAFjYESwAWAtsAossgkOAENFQiohsgABAENgQi2wCyywAEMjRLIAAQBDYEItsAwsICBFILABKyOwAEOwBCVgIEWKI2EgZCCwIFBYIbAAG7AwUFiwIBuwQFlZI7AAUFhlWbADJSNhRESwAWAtsA0sICBFILABKyOwAEOwBCVgIEWKI2EgZLAkUFiwABuwQFkjsABQWGVZsAMlI2FERLABYC2wDiwgsAAjQrMNDAADRVBYIRsjIVkqIS2wDyyxAgJFsGRhRC2wECywAWAgILAPQ0qwAFBYILAPI0JZsBBDSrAAUlggsBAjQlktsBEsILAQYmawAWMguAQAY4ojYbARQ2AgimAgsBEjQiMtsBIsS1RYsQRkRFkksA1lI3gtsBMsS1FYS1NYsQRkRFkbIVkksBNlI3gtsBQssQASQ1VYsRISQ7ABYUKwEStZsABDsAIlQrEPAiVCsRACJUKwARYjILADJVBYsQEAQ2CwBCVCioogiiNhsBAq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) 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0QauRoiZ86m6JStjFTT0TGwDmqUiI5sb0Snu222rE5ioc1JOVQX5nqpX8lksv8qwJPBF50lfm6px+6dzjgdZ6XW0L/nGpfTYA75XtWO10rJwn97nSG6/X8aY9U1i9fNNffOPCuWi0vb7rDaXu2Fmbbj4PI225c2/jz5dHS3DMTu0wk7DVGVhW0fiSV2Kgxw2Hpa0eL2Tg/djgizi5bhYR0BNtzTrdXYDEbQUVTHNURElwy+rqxKDG+eCDBEbFfNjic25dJDjmpOSGfw6kCW+vO1vOzhiOQ2k9i4XVbYxr6wX8Rm9YcGeh8IdKGX64UajPXjjs6Ue60JxtiSAxPCJTjq2uGjLikwMUlQCQr0GGVUkRIVpPDRkqqsspMKi9Ye19knCtzBOV0clcyFUmKCJdbwsnubNja7+gURy/+J4fzu6dmuJd/A1kiJ/K6HAigQPLSr5CfgF93z830i6c05JuMV0a/vHh8gFfp/YZvW7DM49AbA9HO4Gar5XJ7Vers9bwFcFVz0vN3qeDT6zuSe9WizaaWs/O7iisfvH0xTUOIiHAHhr90OrEIcNnuWxZO7LVF/pOYD+OpabXanJ6bwljILSTimCCO8jotWwtd21rstMfzSmJEW/3rESbkxz88QxAqGkfr4T2LpWRhOiXZ0zZrZgynbNcNUHfl9h0tLT94YCIuAqfgpwFf/Gxms1nH5cnPb55aCyrS20WG17aspevuveZoXeSmogXMAChwo8EZRziwvrTnxjk5NqofuvifDobh44f/5hAHKKGsNCPX7CnFU1kGKVFNtoOGFXPR9zrAr8PvBo656LcU1O/++rpgA+wdu28YeRLxR7Zftzr98tX2Qcz9sObOZzHg9YYuTfADnQOOe/v5lU0ZUwyIgB5xDpx4z20ihiwQoUixJMnvbT19IWpL1+/ovCYqlrh2vLyFahzoOpVGAcUfj5WTKuO/c9tKjgNwiEgw4WV97LE/+V0bA1BjY59TWE0cn9HMP5t6X164ql1yknEwT1VvQ5/GQImxr98Ln3Gd77zrIaQCd7s1opaxAv0acbk+M3bZHM31668vbN+h2emF9uG57JJ7uaBZ3OGOMuqn9x3GgRfZcFq9MBIDOlmRrej1vXMnBGvzCJIO3fep+d98W6IQNjZ2n9g/NqrJxerE9KGwIKrpmgCSilXTCfGAQJtWhMyRSm9MJoCyGCgLzR68NZcWtJFpERO7wiP4yZHYEJXzKyGOpnvLzzWOqwjv39TZ2cc+cyR9fjMoy81zD71nqt7DUrp65P7NiAAIiSYPBEsKFXmew/woljY7K7dvhhCoFMTkzaceWnMEqBYlDCC5GamP63G39jL4pcDzgXe4uL7xxfNr245kzh1M5bze8Gqza6cD6Y4d/vHVZbHnuQBO90pj6nM1OJ1c7VeHtg3r/olx+22D9qvXT8xOq+u9Cb5hALCgCRQTQJLMPdgec6TeW48eu3U1VmVcNinJ+VK9MmYyBBADAYRU/Q0zOl9rsfS9z73f7mkXpplUx4xgRBOASGk0c/8cHw4q+c6x3zp5NoS5xLSr9kgQQzs/8dJqr2aWGCFs15D0HQzXnkXi5L5MBKEfxTHADgiEcTxRJfEDk5NBqZcfPpBcj5tyNAEsmRnbNW45JgIpaoTFZn3ldhlq1ah969FbVSSViJhUJUaSAGR4an51ZJEHo9vYf91MXwZ7Q1ooClwwFl1fbM+Fnaiqx+fuYU+9HqGt6Xaxf4LvuqeBe9zKebvnJN9zYW/ePxv63auXH/zu1od6pwvGVGiGPDK9wuqlBz9jFK9wuU3kTs/ZHTjr2zszsK2oXAGtr56YL0lEZYBsjSiqzBffXK/tjwih8dfs28cbG2dDipT8tddxHEGNdUUt7okzA7DM1e2l6ZCprB0z2+bKXO/A8mizXKyOJcUn7jwTxFtzmeh9B8dE+KYSTMbTqbyUi6Um5sKcip4aO9CpaVrMYBzhGWKxSDJm39vUu2a8Urlrtcqj9miykCre/CdbGGMUAb49JIDcMjo2G2IWsfKZWtYRpbhGN9/62GHd6nRY4s71lnjxl0Nq35oHUUAgWhggQC5ddHG/z8X9LYGPufc5P9a/gfvWN7/4iQ+847W7+jdw/pHKtz4GsXyVdvx5XzkePzsbysHV3XZuYz6F7mB94uiVC7j+uzyleF/nvcZVlk/hFVMGeTdF7n6nOfi9sKfOgWB7DXc/6zVZlj1eioh9cY1XYrm99z9xpresQbh9fGnXMwcSVYoWbDs8LOQKUQCUAwHoSjK4tIsTa23Q9h9++PTBe1aUGuVAU/gsljL5FckKAWZI5xsFZvIcUoJ2nhIOOnMOQgBhWdPGHjtUHk4F5b1ZMySH3WILX9SxPrbRUIN8ECPxQDuzpRgG5oTEoawpYozDux8nCCF4MBRFCHg7qhc//NXrJjoKERyndia9laDKmKpPK+VKyRQAaQaRy9dVjQUR1aoWv3//4UY+z2K6iDiBF/LDtlyrDufd/yecGoom9aWemAxrPMdoUlc0buvEkMAQIuFrnqraEsuatlWTwyH0yZxOlObJLRthiO8evfiIAVQqLssUQN66DhAaeDj4O+7dw6nABVen585sdKEfJleFRzvn1yIvadrbTW82l71Mc6u1807BP5OwH2rcoHYh6/VNjG03Y4uTJS18/kI+XQwx7YGlrohytfuO7w9yiFECiMNzT9TaGpmbOStHUvm3PyDTKpXmSyfPq4Y5FuFSjefeyCdORcWrCj5+nllaqGKFimMqUm+ft6uT8RRxXlWqdaICorVcmVOGC61iEnNMEgjKxzI1Sa6n0+lS+7dMqBtO7VR2PU9seyPHFUp3WKiuhxRju/zDpMhzdDibX1mzaGNfbH+/Ezp56Q/xX7ke9f1uJ9Sx+p1Qe3A69/vIq41nX1YutMWrfcz/26vc0dV2PEZecbMwyH4FqMaxYnLt7P4bjiPrrx+hRtIc3TWRGEp6DrSWiGjI2EiGYpXC4lf2as74gVf4kUL6TDK2/6bs6mJidEajDIaWm2KynFx7PKM7SjwRWqrGAMFuCKalYGV3uLep0xNf0hDm02Fe2LaTgSOEhI62c5MnRo88JONX2o6mkJNzr67ddn15pikBxkhL8YiqZ+ayZkSmnLEyUgSFd3Htufnsx9189piL660ND9crVyc7cGn4Abgj7PzD9OAAsOMarNX0dlB/k2dHumPQcXpHsmLnFXcHMNQoyfTAJ3oREUApF1PZ8rhIMMQpz4cWF/bJobkggPGjt08Oz2+ANEq+TeuYB3XoWBase163EK/zDjFR7t33T+spbmLaVCmnGYTXinvWuAaWYtpKYzGNr9/fMFNwZmgI8XceyKeZrnHhkNuH9UyEFJ6175yY1KDF6wa///P54NykrC6tsov/za+WVaBTZYh/5HMHM4ghQDD80x85FGsriJ/SLR44Koays/KczltC9XCryT1xbjE34yI95iK930X6rIv0wZKHdL8qqCQ78E19hXuwb0O402+ira4P7tXG1WUrnuV8Trwj1PYTwo1kOQcEMOYIC5LomYpg7bMiIAbjScbZm2mi23yn46iGLSBJWZ/p7R9vdgXCUcLPTFaW69VKfu3apCpIaap2F8KqBgD1Yi8qQ0nRQnVMASOecIUlAYb1UELhEBGkKJVqtyYIw+LcX5zJVfK6KC9tHHhkYjRDLZlyZGiufuNKp5xfOJLWeZkC0cbfecfiMMfTJK44cbWv+RHXHQAXsde6iK0LLmJBN7xmoQ+KPVA18+Hwg9Cb9Oau/oT6jb2PlB9w2xhvm0Z02zRyB/u/nG3/PX+XqjYleW5V1i3EZ8vZ0dFT+8aP7WKga1QZHa1VRw4xQOrJm6vZbiXeXknyQDmEI6S1MpywU5WRe+9oai7s2bi0jzNbugGP/NyZOEK6hdjMTcW4NJI/ajnWFbN6ps0bmUpMQt+RHc44vSYTQoTS3uUH77rl9Nx1mxwgSqz1u27et/ywQJCwdrBTPr1aWCkZFEgWsAyxI5utTL0ycurwqEY5aXQi9GVx6IATfsPf3JBEhBB++dKZBpHLihM1Dd+LPmxCwokmZJeLm10ubnG5+LzLxX4Bef7cVUnXYmz7/5MQsgadTG6AtbWdB7z068258T24EnRbTv+qzz+4Mbqjsvmi6D/uuEzMZbc/bF3uSl9xEd/udryy6B860OlCWQ3fPD9dezzDGMGLH+jyESccbsQNm3ChZKK1taeUZxbWkAEwPCzKi/SopS3vFQjlCAKLKwzba3VO705LAALes2dihIbXsnoyaNkFMGoiL4XHDHPp4HAvEjdMA0M2S2xlvNdonSuPSqip8lbcGVMAQRwJAtbuXOLR6XI2kZk7l0pcay+lFbz5ooAQaIpVsjUqEstqrN3YQUjGIUBK8Po1cT/HEhdkgiRxpG5O8QhP9YZtBDzeXU9LKGuEo6OynBdJGvOaFGaJG9q7cwJ2APFZ+4bZkcZMd77BySPAIuk985gBBm3I0LSVCwq4LI+7OepH3dPgsy7LkyK66i8kto9zLpa+kHyk/R/vY0p31trBPe32WS/nd8VuZFx9B+jr7BVHy3brqsuL/nhnrQPBV80+N6PdUDZUXpT4C1ggatLsN8nCh43wSHWBYwQhwFyt0FybKY99cKs5snAwE4lVgQ0FeYbRWk3mrrlPxQRUft3CCukui8mTur7vfZ1qIWNGEqNNGRBCceA0DiNpPJTajcK1apA/dWNnkZWNVDyUDVnSe6jG4naCYSGj/JeTKsfLKkc4jGPDE8/d19l4OGoU92ZC4DKhWJhFw0h+wUCwLsuRCL91JthKT4Fy6565sttuhpZ3TbsrQI/qoq1yi2ux6FwABw5c+jfCe4r7icBvut7oL/zUN750TMa+8vz0dtngtp0dlWFAhf/neq0kVoENJMgc2zNJodVr+Wt3/gng4AjitafFQt+1m4T+0yuM9p2C67V9wvw4QO1i1lvks4pcnfp7vL9IQ+3yCBKGyp2zN4JGauOWFIvw05WxMcka0ZiojvXGWzrgYMJEGG5DgPr0gohgeurck6q20qwes4FgBGkqDd3akp2wMjIZ0g/sOqKgUPG62pgpzxzLx6KCDBxgQqJptRpWpiMlM5FLhE/vTlcJmlQEK2FXMUoAUQkVqaLp3WUe3jSUG0sGo8hI1oZaBvfyZnJiVkWLzRrCAkPodLHQv7XvFLYElM9GEoZkqJy0nqnLkFb1YDBeCJo8oOJYHBOMEEEYOA7LCD1/UuSCw3HgCO4XvpEVCYDPSHyhX5RDVYWI7TubCHFmv7Ra01lDMaKOHi7LOnX2pVcihA0TGk1NNRSETI1XLDMlh0J6RwWUi+JkLlFDTFBDBeXln5GSCGQbIYoA/X8vFBylAAABAAAAHwDUAAQAAAAAAAIAAAAYAI0AAAAeDgwAAAAAAAAAEgASABIAEgDrAfICrQNtBD0FNgYJBxAHrQh9CXoKSwsKC48MOw0XDdMO6w+PEDsQ8BGJEk8TQhQIFTIVMgABAAAAAQAA3/kg2V8PPPUADwPoAAAAAAAAAAAAAAAAAAAAAP/+/sYE2QLfAAAACAACAAAAAAAAAPoAMgAAAAABTQAAAPoAAAMjACMDjAAfApoAGgMGAEECMgAuA38AJwJiAAwDyQAdAykAOwQcAFwDkgAdA2oADgQ4AB4DhgAdAuIAYAP1AFoDcwA2A1L//gNkAB0C6wBcAyAANwJuADgDJQAuA7AAZwLGADkDNQBTAPoAAHjaY2BkYGC6/+8YQxSLxf9//86z3ASKoAJ5AMU8CAQAeNpjYGIWZZzAwMrAwNTFtIeBgaEHQjM+YDBkZGJAAg0MDO8FGN68hfED0lxTGBwYFBgWMCv8t2CIYrrPaKXAwNAfxwySZToJJBQYGAHSWg9pAAAAeNpjYGBgAmJmIBYBkoxgmoXBAEhzACFIToEhimHB//9gliOI9f/x/8P/64BqoQAA6/MLsXjarFbXettMDh2quVeVFKaAmcjrNYeK090Lx7Q23fX7yK2kJed+9yrPwH0ZUOl3+2gLkJJ7+ZtVMIMywDnA0EKhAMW+7wUAb36I0e03WNr9q4/PTJwOwo8Q7/uYq0c/+0W/aLXkgWlZKAIUWm50hCF06DpoKITwo4M5JS1pOZhX0P6cr1SFq7GsIQzdJFfRblLPa8zpvU+Aw5IWOmpjYetTJ5fL0TFoHd6xWNsZrRruHaCldDtlo0w2iWLLPww6NYM9HSwozNtY1T7nw5rWXQcT2oD/28LC1F8708aI9loeljzfwnw92PmbT85m7ANubZFqjbxxjldzQQBJ5k0VTZOquwOcZfssedKpPhAbcQQ4uOWHpAG2DfLqBa9ehGYYBIFJbOGwbqHY8VG8YWeL9uYbvMere2+iH+OixR4/iuIgCNpRgIYdBF0EAbQJj3QDB4sKqIJCPSJMfXrLxz7pYr90qQMUEjpYSukmJqCd9B24wEaGa2bl8zf5eS0szlhk1BBDTLmS2WKdGNr2wy0z2gl8GVgB4NquTzaTeOmV4mCfwgFtd0Qua3M/baUrAYV0I8wdfESjRQmwb8bBAQVc7SjBKogD4BNwLQzYJdxIqx1UnYFRoT13xjoanCF1epCGs1MMW5KeoIfgxTKCdpdsYXJDEExcOyKMWiujjSzFyCXh+JCiBEVdFDSqUkCfR4ZF3qMsprSCGRriMZXkch62ow0HxxW5AuCYfs0H0II6hOO826HdeNqvCUWrlBQgDlqUGSd0CHEIOEG0OTip3uz5SaG9ETzEkUP5ycGyerPtv9nNlKZF+nKqr6hETOp9P5mcpBZGLk7YAUPK1d1kjL/G6QuNmgRCsuUnTB/hdeMYOO34jCUprLc2MzuF0CfVBISkSfU3SXu6WZe0MBGiLIkvjWKlYxhG2q2qEonIeXs+TkoXPByVLo5IYsqF8PvNm4aYEGXhui4zUCGbESWVfhv/a5sPiK4aYazaDt5QicHyJvHN8pZK8ixvq6TA0lRJkeUdlZRY3lVJH8t7KulneV8lAyxtJXv8YykkpiU00PgH3xYH1Qlj7cj478zonDBOHRn/kxlBCRyzL8VJoL5mUBnnSXwW4QOq6wHhYykJH8uHhI9lnfCxnCJ8LP9E+FhOEz6WfyZ8LGcIH8uGgqV0YB8pSnszBM0laG4pSWzwzM4qfGTjI7qPjxVAEy7ppozmJD/Yr/QwGf2TXouT0ZLHE4ePZ5KiUfX82SBF+TSj50qfZwqep5U/V6Lr453PiYZNtVysF7Uvgv82VuRc8syoMtYXxAc0L6kfhY7mHHypGjeWHJy7zhUN3SL3eWqRqNWhAU0Ukm/LqzhuyqaMwD8gPtCQbmfOMKoVYnhBUVl4g9wKdXqnbsmwcHFI24dxQwIsxXTm4mk3aGTnYUm6PW/AkJ8pa9v+5wIUwfxcmCreDlxXAg5qiGUaITdDLOmz1zUEoif7r1TQYVtiUUdtMhd0ZNI65Cfd2ZhIAnlPyU3qsaQMm4STRJolhIuSSM4iyRKSxGI9os9ZJzqRi6hzEXn67j5Jj3MFDi71uADSFqe6XMglomm5ZyLMqX1TNjkpd3GlZ0vBZEyj2PMbsCQtkzQ9JR161Aos1Wn36uRvl6yJF017t1uSR371RCW6166Qf+Cchdxr8ZqS0GAWN/GG9rfMncCHpaCRzBoV28H1U9Ydc+uU1b0w9qoIrXDBvirhhsJFO6baeMYI1KWu1NAGzlKEx5DT+ZzKmI9wWLoZdB5QCUvQkHPd8zdVMliouxTyW0a6+UdNMWOKCN2SpEfViXmxgm6dTZWIBbvHyl9ot2hbssuLnDtNwSuioJpd+47gG15u4Au65a8v0b+h44xKGV/S+q3CeRLvmEWP6IbNWEY9tt4rHmj8f891kRY7FARQ+NYTdAlMmRFWgLu7Nm6Nuzbuvpi2DVKnKmT233wn7gPKoagQQqdiWCFgJCpIAKMKAWM0XYpxGjBBAyZpwFRUDCG0qaZVYkpFRfFpMyoxzdIJmqMzzdOZFuhMi6yzQ7GkELDMOsGKQsAqTbdijQakacA6DdhgfaFdtakS0xbrM22rxLRDJ2iXzrRHZ9qnMx3oMa5PTuChjXLNyiNni/KYg26jVh2dRHmJm1PozZk1EjfnOnNDstQLRj5HBvocl9DzK11OHFxDD26gB7faNibLu2Pk+T30/AF6/qhzxsET9OAZevCibVOyvFdGnr9Bz9+h5x86Zxx8Qg++oAffUaHSvmxzJVWFf3/+duhPkz4GU601ubJ07m/1cOb3ZV37A0STAUQAeNpj8N7BcCIoYiMjY1/kBsadHAwcDMkFGxnYnTYxMDJogRib+VgYuSAsESYwi8NpF/MBoDQ3kM3ptIvBAczeycDMwOCyUYWxIzBig0NHBIif4rJRA8TfwcEAFAAriJTeqA4S2sXRwMDI4tCRHAKTAIHNAiyMfFo7GP+3bmDp3cjE4LKZNYWNwcUFANM1K1gAeNpjwAb0gNCaQYpBhUGF6dr/D0yiDAxA+j2IBgBOqAa1AAAAeNpiYGDgZChiYGZgZOEEshcBMYTNyCAB5EHYTAx8DLsgbCDpwXACymZh0GAUgLJZGZwYLaBsNiRxXqYMxioom4/BhPkRoFWyyJIbCILoX+sUtTM3m5mZcedX1oiZPac35DQzPbEUpMjiMQkpp+R4OLiUKM5jcgFFj86/7SZX5K5LB8UTLArBxig+Y+JhEWNicRnFS7lvYWxU7jIYK99A8RoXLaoPMdGcYBFxyms0X7D4wc//fqKXUvIJC4eKEE3OMxJiSrnmOFji0pLMt1ArVa7M6myN+4ZFLk0kkrlLiy63UZT/NhtNRUmCi0c8/PdaUDdo0efCjs1f3r570blDI1uLCE2Ji4/mN61hP/e4cLwZzTkGQ5Sexsw4X8agwZNcSpotpM8aixPUeJqKd2girDUTbGFg8EWaLma4n0mwKWlkYhZqiAjxMKW5YuhXEUvOHCWZLGG/5A2K96SCnVZ+M1EYdr98PbTGyRZ9FZoajUeI5hehvJu0osXxIR/lvuQWhkyoJOUW7X9bMdVCQUvcw3HPbd7zjDf7cP4Cd060fQB42mzBBQGEQAAAsL23eHcDDrd0BIcCbJbAOAjmHLCwtHJ1c/fw9PL28fXzF4klglQmVyhVao1Wp18sd9NK8zINDBwNAF3YCPAAAQAB//8ADw==) 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) 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) 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diff --git a/examples/server/webui/src/components/ChatMessage.tsx b/examples/server/webui/src/components/ChatMessage.tsx
index a60fd2414..8f7e4b730 100644
--- a/examples/server/webui/src/components/ChatMessage.tsx
+++ b/examples/server/webui/src/components/ChatMessage.tsx
@@ -56,20 +56,22 @@ export default function ChatMessage({
     if (msg.content === null || msg.role !== 'assistant') {
       return { content: msg.content };
     }
+    const REGEX_THINK_OPEN = /<think>|<\|channel\|>analysis<\|message\|>/;
+    const REGEX_THINK_CLOSE = /<\/think>|<\|end\|>/;
     let actualContent = '';
     let thought = '';
     let isThinking = false;
-    let thinkSplit = msg.content.split('<think>', 2);
+    let thinkSplit = msg.content.split(REGEX_THINK_OPEN, 2);
     actualContent += thinkSplit[0];
     while (thinkSplit[1] !== undefined) {
       // <think> tag found
-      thinkSplit = thinkSplit[1].split('</think>', 2);
+      thinkSplit = thinkSplit[1].split(REGEX_THINK_CLOSE, 2);
       thought += thinkSplit[0];
       isThinking = true;
       if (thinkSplit[1] !== undefined) {
         // </think> closing tag found
         isThinking = false;
-        thinkSplit = thinkSplit[1].split('<think>', 2);
+        thinkSplit = thinkSplit[1].split(REGEX_THINK_OPEN, 2);
         actualContent += thinkSplit[0];
       }
     }
diff --git a/examples/server/webui/src/utils/app.context.tsx b/examples/server/webui/src/utils/app.context.tsx
index 509b4ee0e..6c95565cc 100644
--- a/examples/server/webui/src/utils/app.context.tsx
+++ b/examples/server/webui/src/utils/app.context.tsx
@@ -215,6 +215,7 @@ export const AppContextProvider = ({
         messages,
         stream: true,
         cache_prompt: true,
+        reasoning_format: 'none',
         samplers: config.samplers,
         temperature: config.temperature,
         dynatemp_range: config.dynatemp_range,
@@ -261,7 +262,7 @@ export const AppContextProvider = ({
         if (chunk.error) {
           throw new Error(chunk.error?.message || 'Unknown error');
         }
-        const addedContent = chunk.choices[0].delta.content;
+        const addedContent = chunk.choices?.[0]?.delta?.content;
         const lastContent = pendingMsg.content || '';
         if (addedContent) {
           pendingMsg = {
diff --git a/examples/server/webui/src/utils/misc.ts b/examples/server/webui/src/utils/misc.ts
index f8367534d..6550175c6 100644
--- a/examples/server/webui/src/utils/misc.ts
+++ b/examples/server/webui/src/utils/misc.ts
@@ -80,13 +80,22 @@ export function normalizeMsgsForAPI(messages: Readonly<Message[]>) {
  * recommended for DeepsSeek-R1, filter out content between <think> and </think> tags
  */
 export function filterThoughtFromMsgs(messages: APIMessage[]) {
+  console.debug({ messages });
   return messages.map((msg) => {
+    if (msg.role !== 'assistant') {
+      return msg;
+    }
+    // assistant message is always a string
+    const contentStr = msg.content as string;
     return {
       role: msg.role,
       content:
         msg.role === 'assistant'
-          ? msg.content.split('</think>').at(-1)!.trim()
-          : msg.content,
+          ? contentStr
+              .split(/<\/think>|<\|end\|>/)
+              .at(-1)!
+              .trim()
+          : contentStr,
     } as APIMessage;
   });
 }
diff --git a/include/llama.h b/include/llama.h
index ffbd9c94a..b6f7a9f01 100644
--- a/include/llama.h
+++ b/include/llama.h
@@ -272,6 +272,7 @@ extern "C" {
         LLAMA_SPLIT_MODE_ROW     = 2, // split rows across GPUs
     };
 
+
     typedef struct llama_token_data {
         llama_token id; // token id
         float logit;    // log-odds of the token
@@ -1111,6 +1112,23 @@ extern "C" {
     // Get list of built-in chat templates
     LLAMA_API int32_t llama_chat_builtin_templates(const char ** output, size_t len);
 
+    typedef void* llama_sampler_context_t;
+
+    // user code can implement the interface below in order to create custom llama_sampler
+    struct llama_sampler_i {
+        const char* (*name)  (const struct llama_sampler* smpl);                                 // can be NULL
+        void                   (*accept)(struct llama_sampler* smpl, llama_token token);              // can be NULL
+        void                   (*apply) (struct llama_sampler* smpl, llama_token_data_array* cur_p); // required
+        void                   (*reset) (struct llama_sampler* smpl);                                 // can be NULL
+        struct llama_sampler* (*clone) (const struct llama_sampler* smpl);                                 // can be NULL if ctx is NULL
+        void                   (*free)  (struct llama_sampler* smpl);                                 // can be NULL if ctx is NULL
+    };
+
+    struct llama_sampler {
+        struct llama_sampler_i* iface;
+        llama_sampler_context_t   ctx;
+    };
+
     //
     // Grammar
     //
@@ -1126,6 +1144,8 @@ extern "C" {
                                  size_t    n_rules,
                                  size_t    start_rule_index);
 
+    LLAMA_API void llama_grammar_init_lazy(struct llama_sampler_grammar * grammar);
+
     LLAMA_API void llama_grammar_free(struct llama_grammar * grammar);
 
     LLAMA_API struct llama_grammar * llama_grammar_copy(const struct llama_grammar * grammar);
@@ -1242,6 +1262,40 @@ extern "C" {
           llama_token_data_array * candidates_p,
                            float   top_n_sigma);
 
+
+LLAMA_API void                   llama_sampler_reset(struct llama_sampler* smpl);
+
+LLAMA_API struct llama_grammar* llama_sampler_init_grammar(
+    const struct llama_vocab* vocab,
+    const char* grammar_str,
+
+        const char* grammar_root);
+    /// @details Lazy grammar sampler, introduced in https://github.com/ggerganov/llama.cpp/pull/9639
+/// @param trigger_words A list of words that will trigger the grammar sampler. This may be updated to a loose regex syntax (w/ ^) in a near future.
+/// @param trigger_tokens A list of tokens that will trigger the grammar sampler.
+DEPRECATED(LLAMA_API struct llama_grammar* llama_sampler_init_grammar_lazy(
+    const struct llama_vocab* vocab,
+        const char* grammar_str,
+        const char* grammar_root,
+        const char** trigger_words,
+        size_t num_trigger_words,
+        const llama_token* trigger_tokens,
+        size_t num_trigger_tokens),
+    "use llama_sampler_init_grammar_lazy_patterns instead");
+
+
+/// @details Lazy grammar sampler, introduced in https://github.com/ggml-org/llama.cpp/pull/9639
+/// @param trigger_patterns A list of patterns that will trigger the grammar sampler. Pattern will be matched from the start of the generation output, and grammar sampler will be fed content starting from its first match group.
+/// @param trigger_tokens A list of tokens that will trigger the grammar sampler. Grammar sampler will be fed content starting from the trigger token included.
+LLAMA_API struct llama_grammar* llama_sampler_init_grammar_lazy_patterns(
+    const struct llama_vocab* vocab,
+    const char* grammar_str,
+    const char* grammar_root,
+    const char** trigger_patterns,
+    size_t num_trigger_patterns,
+    const llama_token* trigger_tokens,
+    size_t num_trigger_tokens);
+
     ///  @details DRY sampler, designed by p-e-w, as described in: https://github.com/oobabooga/text-generation-webui/pull/5677, porting Koboldcpp implementation authored by pi6am: https://github.com/LostRuins/koboldcpp/pull/982
     LLAMA_API struct llama_sampler_dry * llama_sampler_init_dry(
         const struct llama_vocab* model,
diff --git a/models/templates/CohereForAI-c4ai-command-r-plus-tool_use.jinja b/models/templates/CohereForAI-c4ai-command-r-plus-tool_use.jinja
new file mode 100644
index 000000000..f5baef30b
--- /dev/null
+++ b/models/templates/CohereForAI-c4ai-command-r-plus-tool_use.jinja
@@ -0,0 +1,202 @@
+
+{%- macro json_to_python_type(json_spec) %}
+{%- set basic_type_map = {
+    "string": "str",
+    "number": "float",
+    "integer": "int",
+    "boolean": "bool"
+} %}
+
+{%- if basic_type_map[json_spec.type] is defined %}
+    {{- basic_type_map[json_spec.type] }}
+{%- elif json_spec.type == "array" %}
+    {{- "List[" +  json_to_python_type(json_spec.items) + "]"}}
+{%- elif json_spec.type == "object" %}
+    {{- "Dict[str, " + json_to_python_type(json_spec.additionalProperties) + ']'}}
+{%- elif json_spec.type is iterable %}
+    {{- "Union[" }}
+    {%- for t in json_spec.type %}
+      {{- json_to_python_type({"type": t}) }}
+      {%- if not loop.last %}
+        {{- "," }} 
+    {%- endif %}
+    {%- endfor %}
+    {{- "]" }}
+{%- else %}
+    {{- "Any" }}
+{%- endif %}
+{%- endmacro %}
+
+{%- macro old_tool_parser(tools) %}
+{%- for tool in tools %}
+    {%- if loop.index0 != 0 %}
+        {{- '\n\n' }}
+    {%- endif %}
+    {{- '```python\ndef ' + tool.name + '(' }}
+    {%- for param_name, param_fields in tool.parameter_definitions|items %}
+        {%- if loop.index0 != 0 %}
+            {{- ', '}}
+        {%- endif %}
+        {{- param_name + ': ' }}
+        {%- if not param_fields.required %}
+            {{- 'Optional[' + param_fields.type + '] = None'}}
+        {%- else %}
+            {{- param_fields.type }}
+        {%- endif %}
+    {%- endfor %}
+    {{- ') -> List[Dict]:\n    """'}}
+    {{- tool.description }}
+    {%- if tool.parameter_definitions|length != 0 %}
+        {{- '\n\n    Args:\n        '}}
+        {%- for param_name, param_fields in tool.parameter_definitions|items %}
+            {%- if loop.index0 != 0 %}
+                {{- '\n        ' }}
+            {%- endif %}
+            {{- param_name + ' ('}}
+            {%- if not param_fields.required %}
+                {{- 'Optional[' + param_fields.type + ']'}}
+            {%- else %}
+                {{- param_fields.type }}
+            {%- endif %}
+            {{- '): ' + param_fields.description }}
+        {%- endfor %}
+    {%- endif %}
+    {{- '\n    """\n    pass\n```' }}
+{%- endfor %}
+{%- endmacro %}
+
+{%- macro new_tool_parser(tools) %}
+{%- for tool in tools %}
+  {%- if loop.index0 != 0 %}
+    {{- '\n\n'}}
+  {%- endif %}
+  {%- if tool.function is defined %}
+    {%- set tool = tool.function %}
+  {%- endif %}
+  {{-'```python
+def ' + tool.name + '('}}
+  {%- for param_name, param_fields in tool.parameters.properties|items %}
+    {%- if loop.index0 != 0 %}
+      {{- ', '}}
+    {%- endif %}
+    {{-param_name + ": "}} 
+    {%- if not param_name in tool.parameters.required %}
+      {{-'Optional[' + json_to_python_type(param_fields) + '] = None'}}
+    {%- else %}
+      {{- json_to_python_type(param_fields) }}
+    {%- endif %}
+  {%- endfor %}
+  {{- ') -> List[Dict]:
+    """'}}
+  {{- tool.description }}
+  {%- if tool.parameters.properties|length != 0 %}
+    {{- '\n\n    Args:\n        '}}
+    {%- for param_name, param_fields in tool.parameters.properties|items %}
+      {%- if loop.index0 != 0 %}
+        {{- '\n        ' }}
+      {%- endif %}
+      {{- param_name + ' ('}}
+      {%- if not param_name in tool.parameters.required %}
+        {{-'Optional[' + json_to_python_type(param_fields) + ']'}}
+      {%- else %}
+        {{- json_to_python_type(param_fields) }}
+      {%- endif %}
+      {{- '): ' + param_fields.description }}
+    {%- endfor %}
+    {%- endif %}
+    {{- '\n    """\n    pass\n```' }}
+{%- endfor %}
+{%- endmacro %}
+
+{{- bos_token }}
+{%- if messages[0]['role'] == 'system' %}
+  {%- set loop_messages = messages[1:] %}
+  {%- set system_message = messages[0]['content'] %}
+{%- else %}
+  {%- set loop_messages = messages %}
+  {%- set system_message = '## Task and Context\nYou help people answer their questions and other requests interactively. You will be asked a very wide array of requests on all kinds of topics. You will be equipped with a wide range of search engines or similar tools to help you, which you use to research your answer. You should focus on serving the user\'s needs as best you can, which will be wide-ranging.\n\n## Style Guide\nUnless the user asks for a different style of answer, you should answer in full sentences, using proper grammar and spelling.' %}
+{%- endif %}
+{{- '<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>' }}
+{{- '# Safety Preamble' }}
+{{- '
+The instructions in this section override those in the task description and style guide sections. Don\'t answer questions that are harmful or immoral.' }}
+{{- '
+
+# System Preamble' }}
+{{- '
+## Basic Rules' }}
+{{- '
+You are a powerful conversational AI trained by Cohere to help people. You are augmented by a number of tools, and your job is to use and consume the output of these tools to best help the user. You will see a conversation history between yourself and a user, ending with an utterance from the user. You will then see a specific instruction instructing you what kind of response to generate. When you answer the user\'s requests, you cite your sources in your answers, according to those instructions.' }}
+{{- '
+
+# User Preamble' }}
+{{- '
+' + system_message }}
+{{-'
+
+## Available Tools
+Here is a list of tools that you have available to you:
+
+'}}
+{%- set ns = namespace(new_tools=true) %}
+{%- for tool in tools %}
+    {%- if tool.parameter_definitions is defined %}
+        {%- set ns.new_tools = false %}
+    {%- endif %}
+{%- endfor %}
+{%- if ns.new_tools %}
+    {{- new_tool_parser(tools) }}
+{%- else %}
+    {{- old_tool_parser(tools) }}
+{%- endif %}
+{{- '<|END_OF_TURN_TOKEN|>'}}
+{%- for message in loop_messages %}
+  {%- set content = message['content'] %}
+  {%- if message.role == 'user' %}
+    {{- '<|START_OF_TURN_TOKEN|><|USER_TOKEN|>' + content|trim + '<|END_OF_TURN_TOKEN|>' }}
+  {%- elif message.role == 'system' %}
+    {{- '<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>' + content|trim + '<|END_OF_TURN_TOKEN|>' }}
+  {%- elif message.role == 'assistant' and message.tool_calls is defined %}
+    {{- '<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>' }}
+    {%- if message.content is defined %}
+        {{- message.content|trim }}
+    {%- endif %}
+    {{- '\nAction:\n```json\n[\n' }}
+    {%- for tool_call in message.tool_calls %}
+        {%- if tool_call.function is defined %}
+            {%- set tool_call = tool_call.function %}
+        {%- endif %}
+        {{- '{\n'|indent(4, first=true) }}
+        {{- '"tool_name": "'|indent(8, first=true) + tool_call.name + '",\n' }}
+        {{- '"parameters": '|indent(8, first=true) }}
+        {%- if tool_call.arguments is defined and tool_call.arguments|length > 0 %}    
+            {{- tool_call.arguments|tojson(indent=4)|indent(8) }}
+            {{- '\n' }}
+        {%- else %}
+            {{- '{}\n' }}
+        {%- endif %}
+        {{- '}'|indent(4, first=true) }}
+        {%- if not loop.last %}
+            {{- ',\n' }}
+        {%- endif %}
+    {%- endfor %}
+    {{- "\n]```\n" }}
+  {%- elif message.role == 'assistant' %}
+    {{- '<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>'  + content|trim + '<|END_OF_TURN_TOKEN|>' }}
+  {%- elif message.role == 'tool' %}
+    {{- '<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|><results>\n' }}
+    {{- message.content|trim }}
+    {{- '</results><|END_OF_TURN_TOKEN|>' }}
+  {%- endif %}
+{%- endfor %}
+{{-'<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>Write \'Action:\' followed by a json-formatted list of actions that you want to perform in order to produce a good response to the user\'s last input. You can use any of the supplied tools any number of times, but you should aim to execute the minimum number of necessary actions for the input. You should use the `directly-answer` tool if calling the other tools is unnecessary. The list of actions you want to call should be formatted as a list of json objects, for example:
+```json
+[
+    {
+        "tool_name": title of the tool in the specification,
+        "parameters": a dict of parameters to input into the tool as they are defined in the specs, or {} if it takes no parameters
+    }
+]```<|END_OF_TURN_TOKEN|>'}}
+{%- if add_generation_prompt %}
+  {{- '<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>' }}
+{%- endif %}
diff --git a/models/templates/CohereForAI-c4ai-command-r7b-12-2024-tool_use.jinja b/models/templates/CohereForAI-c4ai-command-r7b-12-2024-tool_use.jinja
new file mode 100644
index 000000000..078e9f545
--- /dev/null
+++ b/models/templates/CohereForAI-c4ai-command-r7b-12-2024-tool_use.jinja
@@ -0,0 +1,156 @@
+{{ bos_token }}{%- macro document_turn(documents) -%}
+{# format documents into chat turn #}
+<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|><|START_THINKING|>I will look through the document to address the users needs.<|END_THINKING|><|START_ACTION|>[
+    {"tool_call_id": "0", "tool_name": "direct-injected-document", "parameters": {}}
+]<|END_ACTION|><|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|><|START_TOOL_RESULT|>[
+    {
+        "tool_call_id": "0",
+        "results": {
+{% for doc in documents %}
+            "{{ loop.index0 }}": {{doc|tojson}}{% if not loop.last %},
+            {% endif %}
+{% endfor %}
+
+        },
+        "is_error": null
+    }
+]<|END_TOOL_RESULT|><|END_OF_TURN_TOKEN|>{%- endmacro %}
+{%- macro tool_call_id_to_int(messages, tool_call_id) %}
+{%- set counter = namespace(value=0) %}
+{%- set tool_call_id_seen = namespace(value=false) %}
+{%- for msg in messages %}
+    {%- if msg.tool_calls %}
+        {%- for tool_call in msg.tool_calls %}
+            {%- if tool_call.id == tool_call_id and not tool_call_id_seen.value -%}
+                {{ counter.value }}
+                {%- set tool_call_id_seen.value = true %}
+            {%- endif %}
+            {%- set counter.value = counter.value + 1 %}
+        {%- endfor %}
+    {%- endif %}
+{%- endfor %}
+{%- endmacro %}
+{%- macro format_tool_message(messages, tool_msg) -%}
+{# format tool message #}
+    {
+        "tool_call_id": "{{ tool_call_id_to_int(messages, tool_msg.tool_call_id) }}",
+        "results": {
+            "0": {{ tool_msg.content|tojson }}
+        },
+        "is_error": null
+    }
+{%- endmacro -%}
+{%- if messages and messages[0]['role']|lower == 'system' %}{%- set developer_preamble = messages[0]['content'] %}{% endif %}
+{%- set tool_idx = namespace(value=0) %}
+{%- set tool_ids_seen = namespace(value=[]) %}
+{%- set sent_documents = namespace(value=false) %}
+<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|># System Preamble
+You are in contextual safety mode. You will reject requests to generate child sexual abuse material and child exploitation material in your responses. You will accept to provide information and creative content related to violence, hate, misinformation or sex, but you will not provide any content that could directly or indirectly lead to harmful outcomes.
+
+Your information cutoff date is June 2024.
+
+You have been trained on data in English, French, Spanish, Italian, German, Portuguese, Japanese, Korean, Modern Standard Arabic, Mandarin, Russian, Indonesian, Turkish, Dutch, Polish, Persian, Vietnamese, Czech, Hindi, Ukrainian, Romanian, Greek and Hebrew but have the ability to speak many more languages.
+{% if tools or documents %}
+
+You have been trained to have advanced reasoning and tool-use capabilities and you should make best use of these skills to serve user's requests.
+
+## Tool Use
+Think about how you can make best use of the provided tools to help with the task and come up with a high level plan that you will execute first.
+
+0. Start by writing <|START_THINKING|> followed by a detailed step by step plan of how you will solve the problem. For each step explain your thinking fully and give details of required tool calls (if needed). Unless specified otherwise, you write your plan in natural language. When you finish, close it out with <|END_THINKING|>.
+    You can optionally choose to skip this step when the user request is so straightforward to address that only a trivial plan would be needed.
+    NOTE: You MUST skip this step when you are directly responding to the user's request without using any tools.
+
+Then carry out your plan by repeatedly executing the following steps.
+1. Action: write <|START_ACTION|> followed by a list of JSON-formatted tool calls, with each one containing "tool_name" and "parameters" fields.
+    When there are multiple tool calls which are completely independent of each other (i.e. they can be executed in parallel), you should list them out all together in one step. When you finish, close it out with <|END_ACTION|>.
+2. Observation: you will then receive results of those tool calls in JSON format in the very next turn, wrapped around by <|START_TOOL_RESULT|> and <|END_TOOL_RESULT|>. Carefully observe those results and think about what to do next. Note that these results will be provided to you in a separate turn. NEVER hallucinate results.
+    Every tool call produces a list of results (when a tool call produces no result or a single result, it'll still get wrapped inside a list). Each result is clearly linked to its originating tool call via its "tool_call_id".
+3. Reflection: start the next turn by writing <|START_THINKING|> followed by what you've figured out so far, any changes you need to make to your plan, and what you will do next. When you finish, close it out with <|END_THINKING|>.
+    You can optionally choose to skip this step when everything is going according to plan and no special pieces of information or reasoning chains need to be recorded.
+    NOTE: You MUST skip this step when you are done with tool-use actions and are ready to respond to the user.
+
+You can repeat the above 3 steps multiple times (could be 0 times too if no suitable tool calls are available or needed), until you decide it's time to finally respond to the user.
+
+4. Response: then break out of the loop and write <|START_RESPONSE|> followed by a piece of text which serves as a response to the user's last request. Use all previous tool calls and results to help you when formulating your response. When you finish, close it out with <|END_RESPONSE|>.
+{% if enable_citations %}
+
+## Grounding
+Importantly, note that "Reflection" and "Response" above can be grounded.
+Grounding means you associate pieces of texts (called "spans") with those specific tool results that support them (called "sources"). And you use a pair of tags "<co>" and "</co>" to indicate when a span can be grounded onto a list of sources, listing them out in the closing tag. Sources from the same tool call are grouped together and listed as "{tool_call_id}:[{list of result indices}]", before they are joined together by ",". E.g., "<co>span</co: 0:[1,2],1:[0]>" means that "span" is supported by result 1 and 2 from "tool_call_id=0" as well as result 0 from "tool_call_id=1".
+{% endif %}
+
+## Available Tools
+Here is the list of tools that you have available to you.
+You can ONLY use the tools listed here. When a tool is not listed below, it is NOT available and you should NEVER attempt to use it.
+Each tool is represented as a JSON object with fields like "name", "description", "parameters" (per JSON Schema), and optionally, "responses" (per JSON Schema).
+
+```json
+[
+{% if documents %}
+    {"name": "direct-injected-document", "description": "This is a special tool to directly inject user-uploaded documents into the chat as additional context. DO NOT use this tool by yourself!", "parameters": {"type": "object", "properties": {}, "required": []}, "responses": {"200": {"description": "Successfully returned a list of chunked text snippets from the directly uploaded documents.", "content": {"application/json": {"schema": {"type": "array", "items": {"type": "object", "required": ["url", "snippet"], "properties": {"url": {"type": "string", "description": "The url of the uploaded document."}, "snippet": {"type": "string", "description": "The text snippet for the returned document chunk."}}}}}}}}}{%- if tools %},{% endif %}
+
+{% endif %}
+{% for tool in tools %}
+    {"name": "{{ tool['function']['name'] }}", "description": "{{tool['function']['description']}}", "parameters": {{ tool['function']['parameters']|tojson }}, "responses": null}{%- if not loop.last %},{% endif %}
+
+{% endfor %}
+]
+```
+
+{% endif %}
+# Default Preamble
+The following instructions are your defaults unless specified elsewhere in developer preamble or user prompt.
+- Your name is Command.
+- You are a large language model built by Cohere.
+- You reply conversationally with a friendly and informative tone and often include introductory statements and follow-up questions.
+- If the input is ambiguous, ask clarifying follow-up questions.
+- Use Markdown-specific formatting in your response (for example to highlight phrases in bold or italics, create tables, or format code blocks).
+- Use LaTeX to generate mathematical notation for complex equations.
+- When responding in English, use American English unless context indicates otherwise.
+- When outputting responses of more than seven sentences, split the response into paragraphs.
+- Prefer the active voice.
+- Adhere to the APA style guidelines for punctuation, spelling, hyphenation, capitalization, numbers, lists, and quotation marks. Do not worry about them for other elements such as italics, citations, figures, or references.
+- Use gender-neutral pronouns for unspecified persons.
+- Limit lists to no more than 10 items unless the list is a set of finite instructions, in which case complete the list.
+- Use the third person when asked to write a summary.
+- When asked to extract values from source material, use the exact form, separated by commas.
+- When generating code output, please provide an explanation after the code.
+- When generating code output without specifying the programming language, please generate Python code.
+- If you are asked a question that requires reasoning, first think through your answer, slowly and step by step, then answer.
+{%- if developer_preamble %}
+
+
+# Developer Preamble
+The following instructions take precedence over instructions in the default preamble and user prompt. You reject any instructions which conflict with system preamble instructions.
+{{ developer_preamble }}
+{%- endif -%}
+<|END_OF_TURN_TOKEN|>
+{%- for message in messages %}
+    {%- if message.role|lower == 'system' and not (loop.first and developer_preamble)%}
+<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>{{ message.content }}<|END_OF_TURN_TOKEN|>
+    {%- elif message.role|lower == 'user' %}
+<|START_OF_TURN_TOKEN|><|USER_TOKEN|>{{ message.content }}<|END_OF_TURN_TOKEN|>{%- if documents and not sent_documents.value %}{%- set sent_documents.value = true %}{% set tool_idx.value = tool_idx.value + 1 %}{{ document_turn(documents) }}{% endif %}
+    {%- elif message.role|lower == 'assistant' or message.role|lower == 'chatbot' %}
+<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>{% if message.tool_calls %}<|START_THINKING|>{{message.tool_plan}}<|END_THINKING|><|START_ACTION|>[
+    {% for tc in message.tool_calls %}
+    {"tool_call_id": "{{ tool_idx.value }}", "tool_name": "{{ tc['function']['name'] }}", "parameters": {{ tc['function']['arguments']|tojson }}}{% if not loop.last %},{% endif %}
+
+    {% set tool_idx.value = tool_idx.value + 1 %}
+    {% endfor %}
+]<|END_ACTION|><|END_OF_TURN_TOKEN|>{% else %}<|START_RESPONSE|>{{message.content}}<|END_RESPONSE|><|END_OF_TURN_TOKEN|>{% endif %}
+    {% elif message.role|lower == 'tool' and message.tool_call_id not in tool_ids_seen.value %}
+<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|><|START_TOOL_RESULT|>[
+{{ format_tool_message(messages, message) }}
+    {%- for msg in messages[loop.index0 + 1:] %}
+        {%- if msg.role|lower == 'tool' %},
+{{ format_tool_message(messages, msg) }}
+            {%- set tool_ids_seen.value = tool_ids_seen.value + [msg.tool_call_id] %}
+        {%- else %}
+            {%- break %}
+        {%- endif %}
+    {%- endfor %}
+
+]<|END_TOOL_RESULT|><|END_OF_TURN_TOKEN|>
+    {%- endif %}
+{%- endfor %}<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>
\ No newline at end of file
diff --git a/models/templates/NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use.jinja b/models/templates/NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use.jinja
new file mode 100644
index 000000000..149250bd5
--- /dev/null
+++ b/models/templates/NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use.jinja
@@ -0,0 +1,152 @@
+{%- macro json_to_python_type(json_spec) %}
+{%- set basic_type_map = {
+    "string": "str",
+    "number": "float",
+    "integer": "int",
+    "boolean": "bool"
+} %}
+
+{%- if basic_type_map[json_spec.type] is defined %}
+    {{- basic_type_map[json_spec.type] }}
+{%- elif json_spec.type == "array" %}
+    {{- "list[" +  json_to_python_type(json_spec|items) + "]"}}
+{%- elif json_spec.type == "object" %}
+    {%- if json_spec.additionalProperties is defined %}
+        {{- "dict[str, " + json_to_python_type(json_spec.additionalProperties) + ']'}}
+    {%- else %}
+        {{- "dict" }}
+    {%- endif %}
+{%- elif json_spec.type is iterable %}
+    {{- "Union[" }}
+    {%- for t in json_spec.type %}
+      {{- json_to_python_type({"type": t}) }}
+      {%- if not loop.last %}
+        {{- "," }} 
+    {%- endif %}
+    {%- endfor %}
+    {{- "]" }}
+{%- else %}
+    {{- "Any" }}
+{%- endif %}
+{%- endmacro %}
+
+
+{{- bos_token }}
+{{- '<|im_start|>system
+' }}
+{{- "You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. Here are the available tools: <tools> " }}
+{%- for tool in tools %}
+    {%- if tool.function is defined %}
+        {%- set tool = tool.function %}
+    {%- endif %}
+    {{- '{"type": "function", "function": ' }}
+    {{- '{"name": "' + tool.name + '", ' }}
+    {{- '"description": "' + tool.name + '(' }}
+    {%- for param_name, param_fields in tool.parameters.properties|items %}
+        {{- param_name + ": " + json_to_python_type(param_fields) }}
+        {%- if not loop.last %}
+            {{- ", " }}
+        {%- endif %}
+    {%- endfor %}
+    {{- ")" }}
+    {%- if tool.return is defined %}
+        {{- " -> " + json_to_python_type(tool.return) }}
+    {%- endif %}
+    {{- " - " + tool.description + "
+
+" }}
+    {%- for param_name, param_fields in tool.parameters.properties|items %}
+        {%- if loop.first %}
+            {{- "    Args:
+" }}
+        {%- endif %}
+        {{- "        " + param_name + "(" + json_to_python_type(param_fields) + "): " + param_fields.description|trim }}
+    {%- endfor %}
+    {%- if tool.return is defined and tool.return.description is defined %}
+        {{- "
+    Returns:
+        " + tool.return.description }}
+    {%- endif %}
+    {{- '"' }}
+    {{- ', "parameters": ' }}
+    {%- if tool.parameters.properties | length == 0 %}
+        {{- "{}" }}
+    {%- else %}
+        {{- tool.parameters|tojson }}
+    {%- endif %}
+    {{- "}" }}
+    {%- if not loop.last %}
+        {{- "
+" }}
+    {%- endif %}
+{%- endfor %}
+{{- " </tools>" }}
+{{- 'Use the following pydantic model json schema for each tool call you will make: {"properties": {"name": {"title": "Name", "type": "string"}, "arguments": {"title": "Arguments", "type": "object"}}, "required": ["name", "arguments"], "title": "FunctionCall", "type": "object"}}
+' }}
+{{- "For each function call return a json object with function name and arguments within <tool_call></tool_call> XML tags as follows:
+" }}
+{{- "<tool_call>
+" }}
+{{- '{"name": <function-name>, "arguments": <args-dict>}
+' }}
+{{- '</tool_call><|im_end|>
+' }}
+{%- for message in messages %}
+    {%- if message.role == "user" or message.role == "system" or (message.role == "assistant" and message.tool_calls is not defined) %}
+        {{- '<|im_start|>' + message.role + '
+' + message.content + '<|im_end|>' + '
+' }}
+    {%- elif message.role == "assistant" %}
+        {{- '<|im_start|>' + message.role }}
+    {%- for tool_call in message.tool_calls %}
+       {{- '
+<tool_call>
+' }}           {%- if tool_call.function is defined %}
+                {%- set tool_call = tool_call.function %}
+            {%- endif %}
+            {{- '{' }}
+            {{- '"name": "' }}
+            {{- tool_call.name }}
+            {{- '"' }}
+            {{- ', '}}
+            {%- if tool_call.arguments is defined %}
+                {{- '"arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments|tojson }}
+                {%- endif %}
+            {%- endif %}
+             {{- '}' }}
+            {{- '
+</tool_call>' }}
+    {%- endfor %}
+        {{- '<|im_end|>
+' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.previtem and loop.previtem.role != "tool" %}
+            {{- '<|im_start|>tool
+' }}
+        {%- endif %}
+        {{- '<tool_response>
+' }}
+        {{- message.content }}
+        {%- if not loop.last %}
+            {{- '
+</tool_response>
+' }}
+        {%- else %}
+            {{- '
+</tool_response>' }}
+        {%- endif %}
+        {%- if not loop.last and loop.nextitem.role != "tool" %}
+            {{- '<|im_end|>' }}
+        {%- elif loop.last %}
+            {{- '<|im_end|>' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant
+' }}
+{%- endif %}
diff --git a/models/templates/NousResearch-Hermes-3-Llama-3.1-8B-tool_use.jinja b/models/templates/NousResearch-Hermes-3-Llama-3.1-8B-tool_use.jinja
new file mode 100644
index 000000000..149250bd5
--- /dev/null
+++ b/models/templates/NousResearch-Hermes-3-Llama-3.1-8B-tool_use.jinja
@@ -0,0 +1,152 @@
+{%- macro json_to_python_type(json_spec) %}
+{%- set basic_type_map = {
+    "string": "str",
+    "number": "float",
+    "integer": "int",
+    "boolean": "bool"
+} %}
+
+{%- if basic_type_map[json_spec.type] is defined %}
+    {{- basic_type_map[json_spec.type] }}
+{%- elif json_spec.type == "array" %}
+    {{- "list[" +  json_to_python_type(json_spec|items) + "]"}}
+{%- elif json_spec.type == "object" %}
+    {%- if json_spec.additionalProperties is defined %}
+        {{- "dict[str, " + json_to_python_type(json_spec.additionalProperties) + ']'}}
+    {%- else %}
+        {{- "dict" }}
+    {%- endif %}
+{%- elif json_spec.type is iterable %}
+    {{- "Union[" }}
+    {%- for t in json_spec.type %}
+      {{- json_to_python_type({"type": t}) }}
+      {%- if not loop.last %}
+        {{- "," }} 
+    {%- endif %}
+    {%- endfor %}
+    {{- "]" }}
+{%- else %}
+    {{- "Any" }}
+{%- endif %}
+{%- endmacro %}
+
+
+{{- bos_token }}
+{{- '<|im_start|>system
+' }}
+{{- "You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. Here are the available tools: <tools> " }}
+{%- for tool in tools %}
+    {%- if tool.function is defined %}
+        {%- set tool = tool.function %}
+    {%- endif %}
+    {{- '{"type": "function", "function": ' }}
+    {{- '{"name": "' + tool.name + '", ' }}
+    {{- '"description": "' + tool.name + '(' }}
+    {%- for param_name, param_fields in tool.parameters.properties|items %}
+        {{- param_name + ": " + json_to_python_type(param_fields) }}
+        {%- if not loop.last %}
+            {{- ", " }}
+        {%- endif %}
+    {%- endfor %}
+    {{- ")" }}
+    {%- if tool.return is defined %}
+        {{- " -> " + json_to_python_type(tool.return) }}
+    {%- endif %}
+    {{- " - " + tool.description + "
+
+" }}
+    {%- for param_name, param_fields in tool.parameters.properties|items %}
+        {%- if loop.first %}
+            {{- "    Args:
+" }}
+        {%- endif %}
+        {{- "        " + param_name + "(" + json_to_python_type(param_fields) + "): " + param_fields.description|trim }}
+    {%- endfor %}
+    {%- if tool.return is defined and tool.return.description is defined %}
+        {{- "
+    Returns:
+        " + tool.return.description }}
+    {%- endif %}
+    {{- '"' }}
+    {{- ', "parameters": ' }}
+    {%- if tool.parameters.properties | length == 0 %}
+        {{- "{}" }}
+    {%- else %}
+        {{- tool.parameters|tojson }}
+    {%- endif %}
+    {{- "}" }}
+    {%- if not loop.last %}
+        {{- "
+" }}
+    {%- endif %}
+{%- endfor %}
+{{- " </tools>" }}
+{{- 'Use the following pydantic model json schema for each tool call you will make: {"properties": {"name": {"title": "Name", "type": "string"}, "arguments": {"title": "Arguments", "type": "object"}}, "required": ["name", "arguments"], "title": "FunctionCall", "type": "object"}}
+' }}
+{{- "For each function call return a json object with function name and arguments within <tool_call></tool_call> XML tags as follows:
+" }}
+{{- "<tool_call>
+" }}
+{{- '{"name": <function-name>, "arguments": <args-dict>}
+' }}
+{{- '</tool_call><|im_end|>
+' }}
+{%- for message in messages %}
+    {%- if message.role == "user" or message.role == "system" or (message.role == "assistant" and message.tool_calls is not defined) %}
+        {{- '<|im_start|>' + message.role + '
+' + message.content + '<|im_end|>' + '
+' }}
+    {%- elif message.role == "assistant" %}
+        {{- '<|im_start|>' + message.role }}
+    {%- for tool_call in message.tool_calls %}
+       {{- '
+<tool_call>
+' }}           {%- if tool_call.function is defined %}
+                {%- set tool_call = tool_call.function %}
+            {%- endif %}
+            {{- '{' }}
+            {{- '"name": "' }}
+            {{- tool_call.name }}
+            {{- '"' }}
+            {{- ', '}}
+            {%- if tool_call.arguments is defined %}
+                {{- '"arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments|tojson }}
+                {%- endif %}
+            {%- endif %}
+             {{- '}' }}
+            {{- '
+</tool_call>' }}
+    {%- endfor %}
+        {{- '<|im_end|>
+' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.previtem and loop.previtem.role != "tool" %}
+            {{- '<|im_start|>tool
+' }}
+        {%- endif %}
+        {{- '<tool_response>
+' }}
+        {{- message.content }}
+        {%- if not loop.last %}
+            {{- '
+</tool_response>
+' }}
+        {%- else %}
+            {{- '
+</tool_response>' }}
+        {%- endif %}
+        {%- if not loop.last and loop.nextitem.role != "tool" %}
+            {{- '<|im_end|>' }}
+        {%- elif loop.last %}
+            {{- '<|im_end|>' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant
+' }}
+{%- endif %}
diff --git a/models/templates/Qwen-QwQ-32B.jinja b/models/templates/Qwen-QwQ-32B.jinja
new file mode 100644
index 000000000..d475f7068
--- /dev/null
+++ b/models/templates/Qwen-QwQ-32B.jinja
@@ -0,0 +1,62 @@
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- messages[0]['content'] }}
+    {%- else %}
+        {{- '' }}
+    {%- endif %}
+    {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
+{%- else %}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
+  {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" and not message.tool_calls %}
+        {%- set content = message.content %}
+        {%- if not loop.last %}
+            {%- set content = message.content.split('</think>')[-1].lstrip('\n') %}
+        {%- endif %}
+        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set content = message.content %}
+        {%- if not loop.last %}
+            {%- set content = message.content.split('</think>')[-1].lstrip('\n') %}
+        {%- endif %}
+        {{- '<|im_start|>' + message.role }}
+        {%- if message.content %}
+            {{- '\n' + content }}
+        {%- endif %}
+        {%- for tool_call in message.tool_calls %}
+            {%- if tool_call.function is defined %}
+                {%- set tool_call = tool_call.function %}
+            {%- endif %}
+            {{- '\n<tool_call>\n{"name": "' }}
+            {{- tool_call.name }}
+            {{- '", "arguments": ' }}
+            {{- tool_call.arguments | tojson }}
+            {{- '}\n</tool_call>' }}
+        {%- endfor %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- message.content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n<think>\n' }}
+{%- endif %}
diff --git a/models/templates/Qwen-Qwen2.5-7B-Instruct.jinja b/models/templates/Qwen-Qwen2.5-7B-Instruct.jinja
new file mode 100644
index 000000000..bdf7919a9
--- /dev/null
+++ b/models/templates/Qwen-Qwen2.5-7B-Instruct.jinja
@@ -0,0 +1,54 @@
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- messages[0]['content'] }}
+    {%- else %}
+        {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
+    {%- endif %}
+    {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
+{%- else %}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
+    {%- else %}
+        {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {{- '<|im_start|>' + message.role }}
+        {%- if message.content %}
+            {{- '\n' + message.content }}
+        {%- endif %}
+        {%- for tool_call in message.tool_calls %}
+            {%- if tool_call.function is defined %}
+                {%- set tool_call = tool_call.function %}
+            {%- endif %}
+            {{- '\n<tool_call>\n{"name": "' }}
+            {{- tool_call.name }}
+            {{- '", "arguments": ' }}
+            {{- tool_call.arguments | tojson }}
+            {{- '}\n</tool_call>' }}
+        {%- endfor %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- message.content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+{%- endif %}
diff --git a/models/templates/Qwen-Qwen3-0.6B.jinja b/models/templates/Qwen-Qwen3-0.6B.jinja
new file mode 100644
index 000000000..699ff8df4
--- /dev/null
+++ b/models/templates/Qwen-Qwen3-0.6B.jinja
@@ -0,0 +1,85 @@
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- messages[0].content + '\n\n' }}
+    {%- endif %}
+    {{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- if ns.multi_step_tool and message.role == "user" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
+        {%- set ns.multi_step_tool = false %}
+        {%- set ns.last_query_index = index %}
+    {%- endif %}
+{%- endfor %}
+{%- for message in messages %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set content = message.content %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is defined and message.reasoning_content is not none %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in message.content %}
+                {%- set content = message.content.split('</think>')[-1].lstrip('\n') %}
+                {%- set reasoning_content = message.content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {%- if loop.last or (not loop.last and reasoning_content) %}
+                {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
+            {%- else %}
+                {{- '<|im_start|>' + message.role + '\n' + content }}
+            {%- endif %}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and content) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- message.content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- endif %}
+{%- endif %}
\ No newline at end of file
diff --git a/models/templates/README.md b/models/templates/README.md
new file mode 100644
index 000000000..2e8eaa595
--- /dev/null
+++ b/models/templates/README.md
@@ -0,0 +1,25 @@
+These templates can be updated with the following commands:
+
+```bash
+./scripts/get_chat_template.py CohereForAI/c4ai-command-r-plus tool_use      > models/templates/CohereForAI-c4ai-command-r-plus-tool_use.jinja
+./scripts/get_chat_template.py CohereForAI/c4ai-command-r7b-12-2024 default  > models/templates/CohereForAI-c4ai-command-r7b-12-2024-default.jinja
+./scripts/get_chat_template.py CohereForAI/c4ai-command-r7b-12-2024 rag      > models/templates/CohereForAI-c4ai-command-r7b-12-2024-rag.jinja
+./scripts/get_chat_template.py CohereForAI/c4ai-command-r7b-12-2024 tool_use > models/templates/CohereForAI-c4ai-command-r7b-12-2024-tool_use.jinja
+./scripts/get_chat_template.py deepseek-ai/DeepSeek-R1-Distill-Llama-8B      > models/templates/deepseek-ai-DeepSeek-R1-Distill-Llama-8B.jinja
+./scripts/get_chat_template.py deepseek-ai/DeepSeek-R1-Distill-Qwen-32B      > models/templates/deepseek-ai-DeepSeek-R1-Distill-Qwen-32B.jinja
+./scripts/get_chat_template.py fireworks-ai/llama-3-firefunction-v2          > models/templates/fireworks-ai-llama-3-firefunction-v2.jinja
+./scripts/get_chat_template.py google/gemma-2-2b-it                          > models/templates/google-gemma-2-2b-it.jinja
+./scripts/get_chat_template.py meetkai/functionary-medium-v3.1               > models/templates/meetkai-functionary-medium-v3.1.jinja
+./scripts/get_chat_template.py meetkai/functionary-medium-v3.2               > models/templates/meetkai-functionary-medium-v3.2.jinja
+./scripts/get_chat_template.py meta-llama/Llama-3.1-8B-Instruct              > models/templates/meta-llama-Llama-3.1-8B-Instruct.jinja
+./scripts/get_chat_template.py meta-llama/Llama-3.2-3B-Instruct              > models/templates/meta-llama-Llama-3.2-3B-Instruct.jinja
+./scripts/get_chat_template.py meta-llama/Llama-3.3-70B-Instruct             > models/templates/meta-llama-Llama-3.3-70B-Instruct.jinja
+./scripts/get_chat_template.py microsoft/Phi-3.5-mini-instruct               > models/templates/microsoft-Phi-3.5-mini-instruct.jinja
+./scripts/get_chat_template.py mistralai/Mistral-Nemo-Instruct-2407          > models/templates/mistralai-Mistral-Nemo-Instruct-2407.jinja
+./scripts/get_chat_template.py NousResearch/Hermes-2-Pro-Llama-3-8B tool_use > models/templates/NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use.jinja
+./scripts/get_chat_template.py NousResearch/Hermes-3-Llama-3.1-8B tool_use   > models/templates/NousResearch-Hermes-3-Llama-3.1-8B-tool_use.jinja
+./scripts/get_chat_template.py Qwen/Qwen2.5-7B-Instruct                      > models/templates/Qwen-Qwen2.5-7B-Instruct.jinja
+./scripts/get_chat_template.py Qwen/QwQ-32B                                  > models/templates/Qwen-QwQ-32B.jinja
+./scripts/get_chat_template.py Qwen/Qwen3-0.6B                               > models/templates/Qwen-Qwen3-0.6B.jinja
+./scripts/get_chat_template.py zai-org/GLM-4.5                               > models/templates/zai-org-GLM-4.5.jinja
+```
diff --git a/models/templates/deepseek-ai-DeepSeek-R1-Distill-Llama-8B.jinja b/models/templates/deepseek-ai-DeepSeek-R1-Distill-Llama-8B.jinja
new file mode 100644
index 000000000..c2066bd73
--- /dev/null
+++ b/models/templates/deepseek-ai-DeepSeek-R1-Distill-Llama-8B.jinja
@@ -0,0 +1 @@
+{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<｜User｜>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}}{%- set ns.is_first = true -%}{%- else %}{{'\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<｜tool▁outputs▁end｜>' + message['content'] + '<｜end▁of▁sentence｜>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{{'<｜Assistant｜>' + content + '<｜end▁of▁sentence｜>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\n<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<｜tool▁outputs▁end｜>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<｜Assistant｜><think>\n'}}{% endif %}
\ No newline at end of file
diff --git a/models/templates/deepseek-ai-DeepSeek-R1-Distill-Qwen-32B.jinja b/models/templates/deepseek-ai-DeepSeek-R1-Distill-Qwen-32B.jinja
new file mode 100644
index 000000000..c2066bd73
--- /dev/null
+++ b/models/templates/deepseek-ai-DeepSeek-R1-Distill-Qwen-32B.jinja
@@ -0,0 +1 @@
+{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<｜User｜>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}}{%- set ns.is_first = true -%}{%- else %}{{'\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<｜tool▁outputs▁end｜>' + message['content'] + '<｜end▁of▁sentence｜>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{{'<｜Assistant｜>' + content + '<｜end▁of▁sentence｜>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\n<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<｜tool▁outputs▁end｜>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<｜Assistant｜><think>\n'}}{% endif %}
\ No newline at end of file
diff --git a/models/templates/fireworks-ai-llama-3-firefunction-v2.jinja b/models/templates/fireworks-ai-llama-3-firefunction-v2.jinja
new file mode 100644
index 000000000..9b8136df7
--- /dev/null
+++ b/models/templates/fireworks-ai-llama-3-firefunction-v2.jinja
@@ -0,0 +1,57 @@
+{%- set loop_messages = messages -%}
+{%- set message_roles = ['system', 'user', 'assistant', 'tool'] -%}
+{%- set system_prompt_suffix -%}
+{%- filter trim -%}
+In addition to plain text responses, you can chose to call one or more of the provided functions.
+
+Use the following rule to decide when to call a function:
+  * if the response can be generated from your internal knowledge (e.g., as in the case of queries like "What is the capital of Poland?"), do so
+  * if you need external information that can be obtained by calling one or more of the provided functions, generate a function calls
+
+If you decide to call functions:
+  * prefix function calls with functools marker (no closing marker required)
+  * all function calls should be generated in a single JSON list formatted as functools[{"name": [function name], "arguments": [function arguments as JSON]}, ...]
+  * follow the provided JSON schema. Do not hallucinate arguments or values. Do to blindly copy values from the provided samples
+  * respect the argument type formatting. E.g., if the type if number and format is float, write value 7 as 7.0
+  * make sure you pick the right functions that match the user intent
+
+Available functions as JSON spec:
+{%- endfilter -%}
+{%- endset -%}
+{%- set system_prompt_suffix = system_prompt_suffix + "\n" + functions -%}
+{%- set system_prompt_suffix = system_prompt_suffix + '\nToday is ' + datetime + '.' -%}
+{%- set ns = namespace(role='', content='') -%}
+{#- Basic consistency checks -#}
+{%- if not loop_messages -%}
+  {{ raise_exception('Expected non-empty messages') }}
+{%- endif -%}
+{%- for message in loop_messages -%}
+  {%- set ns.role = message['role'] | lower -%}
+  {%- if ns.role not in message_roles -%}
+    {%- set message_roles_string = message_roles | join(', ') -%}
+    {{ raise_exception('Invalid role ' + message['role'] + '. Only ' + message_roles_string + ' are supported.') }}
+  {%- endif -%}
+  {%- set msg_content = message['content'] | default('', true) | trim -%}
+  {%- if loop.index0 == 0 -%}
+    {%- if ns.role == 'system' -%}
+      {%- set system_prompt = '<|start_header_id|>' + 'system' + '<|end_header_id|>\n\n' + message['content'] | trim + '\n' + system_prompt_suffix + '<|eot_id|>' -%}
+    {%- else -%}
+      {%- set system_prompt = '<|start_header_id|>' + 'system' + '<|end_header_id|>\n\nYou are a helpful assistant with access to functions.\n' + system_prompt_suffix + '<|eot_id|>' -%}
+    {%- endif -%}
+    {%- set ns.content = bos_token + system_prompt -%}
+    {{- ns.content -}}
+  {%- endif -%}
+  {%- if loop.index0 > 0 or ns.role != 'system' -%}
+    {%- set ns.content = '<|start_header_id|>' + ns.role + '<|end_header_id|>\n\n' + msg_content -%}
+    {%- if 'tool_calls' in message and message['tool_calls'] -%}
+      {%- set tool = namespace(calls=[]) -%}
+      {%- for call in message['tool_calls'] -%}
+        {%- set tool.calls = tool.calls + ['{"name": "' + call['function']['name'] + '", "arguments": ' + call['function']['arguments'] + '}'] -%}
+      {%- endfor -%}
+      {%- set ns.content = ns.content + ' functools[' + tool.calls | join(', ') + ']' -%}
+    {%- endif -%}
+    {%- set ns.content = ns.content + '<|eot_id|>' -%}
+    {{- ns.content -}}
+  {%- endif -%}
+{%- endfor -%}
+{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
diff --git a/models/templates/google-gemma-2-2b-it.jinja b/models/templates/google-gemma-2-2b-it.jinja
new file mode 100644
index 000000000..923ec253c
--- /dev/null
+++ b/models/templates/google-gemma-2-2b-it.jinja
@@ -0,0 +1,4 @@
+{{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '
+' + message['content'] | trim + '<end_of_turn>
+' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model
+'}}{% endif %}
\ No newline at end of file
diff --git a/models/templates/ibm-granite-granite-3.3-2B-Instruct.jinja b/models/templates/ibm-granite-granite-3.3-2B-Instruct.jinja
new file mode 100644
index 000000000..f50653609
--- /dev/null
+++ b/models/templates/ibm-granite-granite-3.3-2B-Instruct.jinja
@@ -0,0 +1,59 @@
+{# Alias tools -> available_tools #}
+{%- if tools and not available_tools -%}
+    {%- set available_tools = tools -%}
+{%- endif -%}
+{%- if messages[0]['role'] == 'system' %}
+     {%- set system_message = messages[0]['content'] %}
+     {%- set loop_messages = messages[1:] %}
+ {%- else %}
+     {%- set system_message = "Knowledge Cutoff Date: April 2024. Today's Date: " + strftime_now('%B %d, %Y') + ". You are Granite, developed by IBM." %}
+     {%- if available_tools and documents %}
+         {%- set system_message = system_message + " You are a helpful assistant with access to the following tools. When a tool is required to answer the user's query, respond only with <|tool_call|> followed by a JSON list of tools used. If a tool does not exist in the provided list of tools, notify the user that you do not have the ability to fulfill the request. Write the response to the user's input by strictly aligning with the facts in the provided documents. If the information needed to answer the question is not available in the documents, inform the user that the question cannot be answered based on the available data." %}
+     {%- elif available_tools %}
+         {%- set system_message = system_message + " You are a helpful assistant with access to the following tools. When a tool is required to answer the user's query, respond only with <|tool_call|> followed by a JSON list of tools used. If a tool does not exist in the provided list of tools, notify the user that you do not have the ability to fulfill the request." %}
+     {%- elif documents %}
+         {%- set system_message = system_message + " Write the response to the user's input by strictly aligning with the facts in the provided documents. If the information needed to answer the question is not available in the documents, inform the user that the question cannot be answered based on the available data." %}
+    {%- elif thinking %}
+    {%- set system_message = system_message + " You are a helpful AI assistant.
+Respond to every user query in a comprehensive and detailed way. You can write down your thoughts and reasoning process before responding. In the thought process, engage in a comprehensive cycle of analysis, summarization, exploration, reassessment, reflection, backtracing, and iteration to develop well-considered thinking process. In the response section, based on various attempts, explorations, and reflections from the thoughts section, systematically present the final solution that you deem correct. The response should summarize the thought process. Write your thoughts between <think></think> and write your response between <response></response> for each user query." %}
+     {%- else %}
+         {%- set system_message = system_message + " You are a helpful AI assistant." %}
+     {%- endif %}
+     {%- if 'citations' in controls and documents %}
+         {%- set system_message = system_message + '
+Use the symbols <|start_of_cite|> and <|end_of_cite|> to indicate when a fact comes from a document in the search result, e.g <|start_of_cite|> {document_id: 1}my fact <|end_of_cite|> for a fact from document 1. Afterwards, list all the citations with their corresponding documents in an ordered list.' %}
+     {%- endif %}
+     {%- if 'hallucinations' in controls and documents %}
+         {%- set system_message = system_message + '
+Finally, after the response is written, include a numbered list of sentences from the response with a corresponding risk value that are hallucinated and not based in the documents.' %}
+     {%- endif %}
+     {%- set loop_messages = messages %}
+ {%- endif %}
+ {{- '<|start_of_role|>system<|end_of_role|>' + system_message + '<|end_of_text|>
+' }}
+ {%- if available_tools %}
+     {{- '<|start_of_role|>available_tools<|end_of_role|>' }}
+     {{- available_tools | tojson(indent=4) }}
+     {{- '<|end_of_text|>
+' }}
+ {%- endif %}
+ {%- if documents %}
+     {%- for document in documents %}
+         {{- '<|start_of_role|>document {"document_id": "' + document['doc_id'] | string + '"}<|end_of_role|>
+' }}
+         {{- document['text'] }}
+         {{- '<|end_of_text|>
+' }}
+              {%- endfor %}
+ {%- endif %}
+ {%- for message in loop_messages %}
+     {{- '<|start_of_role|>' + message['role'] + '<|end_of_role|>' + message['content'] + '<|end_of_text|>
+' }}
+     {%- if loop.last and add_generation_prompt %}
+         {{- '<|start_of_role|>assistant' }}
+             {%- if controls %}
+                 {{- ' ' + controls | tojson()}}
+             {%- endif %}
+         {{- '<|end_of_role|>' }}
+     {%- endif %}
+ {%- endfor %}
diff --git a/models/templates/llama-cpp-deepseek-r1.jinja b/models/templates/llama-cpp-deepseek-r1.jinja
new file mode 100644
index 000000000..fcb1732eb
--- /dev/null
+++ b/models/templates/llama-cpp-deepseek-r1.jinja
@@ -0,0 +1,76 @@
+{%- if not add_generation_prompt is defined -%}
+    {%- set add_generation_prompt = false -%}
+{%- endif -%}
+{%- set ns = namespace(is_first=false, is_tool_outputs=false, is_output_first=true, system_prompt='') -%}
+{%- for message in messages -%}
+    {%- if message['role'] == 'system' -%}
+        {%- set ns.system_prompt = message['content'] -%}
+    {%- endif -%}
+{%- endfor -%}
+{{bos_token}}
+{%- if tools %}
+You can call any of the following function tools to satisfy the user's requests: {{tools | map(attribute='function') | tojson(indent=2)}}
+
+Example function tool call syntax:
+
+<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>function<｜tool▁sep｜>example_function_name
+```json
+{
+  "arg1": "some_value"
+  ...
+}
+```
+<｜tool▁call▁end｜><｜tool▁calls▁end｜>
+
+{% endif -%}
+{{ns.system_prompt}}
+{%- macro flush_tool_outputs() -%}
+    {%- if ns.is_tool_outputs -%}
+        {{- '<｜tool▁outputs▁end｜><｜end▁of▁sentence｜>' -}}
+        {%- set ns.is_tool_outputs = false -%}
+    {%- endif -%}
+{%- endmacro -%}
+{{- flush_tool_outputs() -}}
+{%- for message in messages -%}
+    {%- if message['role'] != 'tool' -%}
+        {{- flush_tool_outputs() -}}
+    {%- endif -%}
+    {%- if message['role'] == 'user' -%}
+        {{- '<｜User｜>' + message['content'] + '<｜end▁of▁sentence｜>' -}}
+    {%- endif -%}
+    {%- if message['role'] == 'assistant' and message['content'] is none -%}
+        {{- '<｜Assistant｜><｜tool▁calls▁begin｜>' -}}
+        {%- set ns.is_first = true -%}
+        {%- for tc in message['tool_calls'] -%}
+            {%- if ns.is_first -%}
+                {%- set ns.is_first = false -%}
+            {%- else -%}
+                {{- '\n' -}}
+            {%- endif -%}
+            {%- set tool_name = tc['function']['name'] -%}
+            {%- set tool_args = tc['function']['arguments'] -%}
+            {{- '<｜tool▁call▁begin｜>' + tc['type'] + '<｜tool▁sep｜>' + tool_name + '\n' + '```json' + '\n' + tool_args + '\n' + '```' + '<｜tool▁call▁end｜>' -}}
+        {%- endfor -%}
+        {{- '<｜tool▁calls▁end｜><｜end▁of▁sentence｜>' -}}
+    {%- endif -%}
+    {%- if message['role'] == 'assistant' and message['content'] is  not none -%}
+        {{- flush_tool_outputs() -}}
+        {%- set content = message['content'] -%}
+        {%- if '</think>' in content -%}
+            {%- set content = content.split('</think>')[-1] -%}
+        {%- endif -%}
+        {{- '<｜Assistant｜>' + content + '<｜end▁of▁sentence｜>' -}}
+    {%- endif -%}
+    {%- if message['role'] == 'tool' -%}
+        {%- set ns.is_tool_outputs = true -%}
+        {%- if ns.is_output_first -%}
+            {{- '<｜tool▁outputs▁begin｜>' -}}
+            {%- set ns.is_output_first = false -%}
+        {%- endif -%}
+        {{- '\n<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>' -}}
+    {%- endif -%}
+{%- endfor -%}
+{{- flush_tool_outputs() -}}
+{%- if add_generation_prompt and not ns.is_tool_outputs -%}
+    {{- '<｜Assistant｜><think>\n' -}}
+{%- endif -%}
\ No newline at end of file
diff --git a/models/templates/llama-cpp-rwkv-world.jinja b/models/templates/llama-cpp-rwkv-world.jinja
new file mode 100644
index 000000000..690223f1b
--- /dev/null
+++ b/models/templates/llama-cpp-rwkv-world.jinja
@@ -0,0 +1,34 @@
+{%- if not add_generation_prompt is defined -%}
+    {%- set add_generation_prompt = true -%}
+{%- endif -%}
+{%- set ns = namespace(system_prompt='') -%}
+{%- for message in messages -%}
+    {%- if message['role'] == 'system' -%}
+        {%- set ns.system_prompt = message['content'] -%}
+    {%- endif -%}
+{%- endfor -%}
+{{bos_token}}
+{%- if ns.system_prompt != '' -%}
+{{- 'System: ' + ns.system_prompt + '\n\n' -}}
+{%- endif -%}
+{%- for message in messages -%}
+    {%- if message['role'] == 'user' -%}
+        {{- 'User: ' + message['content']|trim + '\n\n' -}}
+    {%- endif -%}
+    {%- if message['role'] == 'assistant' and message['content'] is  not none -%}
+        {%- set content = message['content'] -%}
+        {%- if '</think>' in content -%}
+            {%- set content = content.split('</think>')[-1] -%}
+        {%- endif -%}
+        {{- 'Assistant: ' + content|trim + '\n\n' -}}
+    {%- endif -%}
+{%- endfor -%}
+{%- if add_generation_prompt -%}
+    {{- 'Assistant:' -}}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- ' <think>\n</think>' }}
+    {%- endif %}
+    {%- if enable_thinking is defined and enable_thinking is true %}
+        {{- ' <think>' }}
+    {%- endif %}
+{%- endif -%}
\ No newline at end of file
diff --git a/models/templates/meetkai-functionary-medium-v3.1.jinja b/models/templates/meetkai-functionary-medium-v3.1.jinja
new file mode 100644
index 000000000..29d64a215
--- /dev/null
+++ b/models/templates/meetkai-functionary-medium-v3.1.jinja
@@ -0,0 +1,58 @@
+{# version=v3-llama3.1 #}{%- if not tools is defined -%}
+    {%- set tools = none -%}
+{%- endif -%}
+
+{%- set has_code_interpreter = tools | selectattr("type", "equalto", "code_interpreter") | list | length > 0 -%}
+{%- if has_code_interpreter -%}
+    {%- set tools = tools | rejectattr("type", "equalto", "code_interpreter") | list -%}
+{%- endif -%}
+
+{#- System message + builtin tools #}
+{{- bos_token + "<|start_header_id|>system<|end_header_id|>\n\n" }}
+{%- if has_code_interpreter %}
+    {{- "Environment: ipython\n\n" }}
+{%- else -%}
+    {{ "\n"}}
+{%- endif %}
+{{- "Cutting Knowledge Date: December 2023\n\n" }}
+{%- if tools %}
+    {{- "\nYou have access to the following functions:\n\n" }}
+    {%- for t in tools %}
+        {%- if "type" in t -%}
+            {{ "Use the function '"|safe + t["function"]["name"] + "' to '"|safe + t["function"]["description"] + "'\n"|safe + t["function"] | tojson() }}
+        {%- else -%}
+            {{ "Use the function '"|safe + t["name"] + "' to '"|safe + t["description"] + "'\n"|safe + t | tojson() }}
+        {%- endif -%}
+        {{- "\n\n" }}
+    {%- endfor %}
+    {{- '\nThink very carefully before calling functions.\nIf a you choose to call a function ONLY reply in the following format:\n<{start_tag}={function_name}>{parameters}{end_tag}\nwhere\n\nstart_tag => `<function`\nparameters => a JSON dict with the function argument name as key and function argument value as value.\nend_tag => `</function>`\n\nHere is an example,\n<function=example_function_name>{"example_name": "example_value"}</function>\n\nReminder:\n- If looking for real time information use relevant functions before falling back to brave_search\n- Function calls MUST follow the specified format, start with <function= and end with </function>\n- Required parameters MUST be specified\n- Only call one function at a time\n- Put the entire function call reply on one line\n\n' -}}
+{%- endif %}
+{{- "<|eot_id|>" -}}
+
+{%- for message in messages -%}
+    {%- if message['role'] == 'user' or message['role'] == 'system' -%}
+        {{ '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n' + message['content'] + '<|eot_id|>' }}
+    {%- elif message['role'] == 'tool' -%}
+        {{ '<|start_header_id|>ipython<|end_header_id|>\n\n' + message['content'] + '<|eot_id|>' }}
+    {%- else -%}
+        {{ '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'}}
+        {%- if message['content'] -%}
+            {{ message['content'] }}
+        {%- endif -%}
+        {%- if 'tool_calls' in message and message['tool_calls'] -%}
+            {%- for tool_call in message['tool_calls'] -%}
+                {%- if tool_call["function"]["name"] == "python" -%}
+                    {{ '<|python_tag|>' + tool_call['function']['arguments'] }}
+                {%- else -%}
+                    {{ '<function=' + tool_call['function']['name'] + '>' + tool_call['function']['arguments'] + '</function>' }}
+                {%- endif -%}
+            {%- endfor -%}
+            {{ '<|eom_id|>' }}
+        {%- else -%}
+            {{ '<|eot_id|>' }}
+        {%- endif -%}
+    {%- endif -%}
+{%- endfor -%}
+{%- if add_generation_prompt -%}
+    {{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
+{%- endif -%}
\ No newline at end of file
diff --git a/models/templates/meetkai-functionary-medium-v3.2.jinja b/models/templates/meetkai-functionary-medium-v3.2.jinja
new file mode 100644
index 000000000..74fd1e7af
--- /dev/null
+++ b/models/templates/meetkai-functionary-medium-v3.2.jinja
@@ -0,0 +1,287 @@
+{# version=v3.llama3 #}{%- macro append_new_param_info(param_declaration, comment_info, examples_info, depth) -%}
+    {%- set offset = "" -%}
+    {%- if depth >= 1 -%}
+        {%- set offset = "    " * depth -%}
+    {%- endif -%}
+    {%- if comment_info != "<|NONE|>" -%}
+        {{ "\n" + offset + comment_info }}
+        {%- if examples_info | length > 0 -%}
+            {# Append each example info #}
+            {%- for example in examples_info -%}
+                {{ "\n" + offset + "// " + example|string|replace("'", '"') }}
+            {%- endfor -%}
+        {%- endif -%}
+    {%- endif -%}
+    {{ "\n" + offset + param_declaration }}
+{%- endmacro -%}
+
+{%- macro convert_data_type(param_type) -%}
+    {%- if param_type == "integer" or param_type == "float" -%}
+        {{ "number" }}
+    {%- else -%}
+        {{ param_type }}
+    {%- endif -%}
+{%- endmacro -%}
+
+{%- macro get_param_type(param) -%}
+    {%- set param_type = "any" -%}
+
+    {%- if "type" in param -%}
+        {%- set raw_param_type = param["type"] -%}
+        {%- if raw_param_type is iterable and raw_param_type is not string -%}
+            {%- set param_type = raw_param_type | join(" | ") -%}
+        {%- else -%}
+            {%- set param_type = raw_param_type -%}
+        {%- endif -%}
+        {{ convert_data_type(param_type) }}
+    {%- elif "oneOf" in param -%}
+        {%- set one_of_types = param["oneOf"]|selectattr("type", "defined")|list -%}
+        {%- set one_of_types = one_of_types|map(attribute="type")|unique|list -%}
+        {{ convert_data_type(one_of_types | join(" | ")) }}
+    {%- endif -%}
+{%- endmacro -%}
+
+{%- macro get_format_param(param) -%}
+    {%- if "format" in param -%}
+        {{ param["format"] }}
+    {%- elif "oneOf" in param -%}
+        {%- set formats = [] -%}
+        {%- for item in param["oneOf"] -%}
+            {%- if "format" in item -%}
+                {%- if item["format"] == param["oneOf"][-1]["format"] -%}
+                    {{ item["format"] }}
+                {%- else -%}
+                    {{ item["format"] + " or "}}
+                {%- endif -%}
+            {%- endif -%}
+        {%- endfor -%}
+    {%- else -%}
+        {{ "<|NONE|>" }}
+    {%- endif -%}
+{%- endmacro -%}
+
+{%- macro get_param_info(param) -%}
+    {%- set param_type = param.get("type", "any") -%}
+    {%- set format_param = get_format_param(param) -%}
+
+    {%- if "description" in param or "default" in param or format_param != "<|NONE|>" or param["maximum"] or param["minimum"] or param["maxLength"] or param["minLength"] -%}
+        {{ "//" }}
+        {%- if "description" in param -%}
+            {%- set desc = param["description"] -%}
+            {%- if not desc.endswith(".") -%}
+                {%- set desc = desc + "." -%}
+            {%- endif -%}
+            {{ " " + desc }}
+        {%- endif -%}
+
+        {%- if "default" in param -%}
+            {%- set default_value = param["default"] -%}
+            {%- if param_type == "string" -%}
+                {%- set default_value = '"' ~ default_value ~ '"' -%}
+            {%- endif -%}
+            {{ " Default=" ~ default_value ~ "." }}
+        {%- endif -%}
+
+        {%- set format_param = get_format_param(param) -%}
+        {%- if format_param != "<|NONE|>" -%}
+            {{ " Format=" ~ format_param }}
+        {%- endif -%}
+
+        {%- for field, field_name in [("maximum", "Maximum"), ("minimum", "Minimum"), ("maxLength", "Maximum length"), ("minLength", "Minimum length")] -%}
+            {%- if field in param -%}
+                {{ " " + field_name ~ "=" ~ param[field] }}
+            {%- endif -%}
+        {%- endfor -%}
+    {%- else -%}
+        {{ "<|NONE|>"}}
+    {%- endif -%}
+{%- endmacro -%}
+
+{%- macro get_enum_option_str(enum_options) -%}
+    {%- for v in enum_options -%}
+        {%- if v is string -%}
+            {{ '"' + v + '"' }}
+        {%- else -%}
+            {{ v }}
+        {%- endif -%}
+        {%- if enum_options|length > 0 and v != enum_options[-1] -%}
+            {{ " | " }}
+        {%- endif -%}
+    {%- endfor -%}
+{%- endmacro -%}
+
+{%- macro get_array_typescript(param_name, param_dic, depth) -%}
+    {%- set offset = '' -%}
+    {%- if depth >= 1 -%}
+        {%- set offset = "    " * depth -%}
+    {%- endif -%}
+    {%- set items_info = param_dic.get('items', {}) -%}
+
+    {%- if items_info|length == 0 -%}
+        {%- if param_name -%}
+            {{ "\n" + offset + param_name + ": []" }}
+        {%- else -%}
+            {{ "\n" + offset + "[]" }}
+        {%- endif -%}
+    {%- else -%}
+        {%- set array_type = get_param_type(items_info) -%}
+        {%- if array_type == 'object' -%}
+            {%- if param_name -%}
+                {{ "\n" + offset + param_name + ": {" }}
+            {%- else -%}
+                {{ "\n" + offset + "{" }}
+            {%- endif -%}
+            {{ get_parameter_typescript(items_info.get('properties', {}), items_info.get('required', []), depth + 1) -}}
+            {{- "\n" + offset + "}[]" }}
+        {%- elif array_type == 'array' -%}
+            {%- set item_info = get_array_typescript(None, items_info, depth + 1) -%}
+            {%- if not param_name -%}
+                {{ "\n" + item_info + "[]" }}
+            {%- else -%}
+                {{ "\n" + offset + param_name + ": " + item_info|trim + "[]" }}
+            {%- endif -%}
+        {%- else -%}
+            {%- if 'enum' in items_info -%}
+                {%- set item_type = get_enum_option_str(items_info['enum']) -%}
+                {%- if param_name is none -%}
+                    {{ "(" + item_type + ")[]"}}
+                {%- else -%}
+                    {{ "\n" + offset + param_name + ": (" + item_type + ")[]" }}
+                {%- endif -%}
+            {%- else -%}
+                {%- if param_name is none -%}
+                    {{ "\n" + array_type + "[]" }}
+                {%- else -%}
+                    {{ "\n" + offset + param_name + ": " + array_type + "[]," }}
+                {%- endif -%}
+            {%- endif -%}
+        {%- endif -%}
+    {%- endif -%}
+{%- endmacro -%}
+
+{%- macro get_parameter_typescript(properties, required_params, depth=0) -%}
+    {%- set res = "" -%}
+    {%- for param_name, param in properties.items() -%}
+        {%- if param is mapping -%}
+            {%- set comment_info = get_param_info(param) -%}
+            {# Param Examples #}
+            {%- set examples_info = [] -%}
+            {%- if "examples" in param -%}
+                {%- set examples_info = ["Example " + param_name + ":"] -%}
+                {%- set examples_info = examples_info + param["examples"] -%}
+            {%- endif -%}
+
+            {# Param Name declaration #}
+            {%- set param_declaration = param_name -%}
+            {%- if required_params is iterable and param_name not in required_params -%}
+                {%- set param_declaration = param_declaration + "?" -%}
+            {%- endif -%}
+
+            {%- set param_type = get_param_type(param) -%}
+
+            {# Handle indentation based on depth #}
+            {%- set offset = "" -%}
+            {%- if depth >= 1 -%}
+                {%- set offset = "    " * depth -%}
+            {%- endif -%}
+
+            {%- if param_type == "object" -%}
+                {%- if comment_info != "<|NONE|>" -%}
+                    {{ "\n" + offset + comment_info }}
+                {%- endif -%}
+                {%- if examples_info|length > 0 -%}
+                    {%- for example in examples_info -%}
+                        {{ "\n" + offset + "// " + example|string|replace("'", '"') }}
+                    {%- endfor -%}
+                {%- endif -%}
+                {%- set param_declaration = param_declaration + ": {" -%}
+                {{ "\n" + offset + param_declaration -}}
+                {{- get_parameter_typescript(param.get("properties", {}), param.get("required", []), depth + 1) -}}
+                {{- "\n" + offset + "}," }}
+            {%- elif param_type == "array" -%}
+                {%- set item_info = param.get("items", {}) -%}
+                {%- if "type" not in item_info -%}
+                    {%- set param_declaration = param_declaration + ": []," -%}
+                    {{ append_new_param_info(param_declaration, comment_info, examples_info, depth) }}
+                {%- else -%}
+                    {%- if comment_info != "<|NONE|>" -%}
+                        {{ "\n" + offset + comment_info }}
+                    {%- endif -%}
+                    {%- if examples_info|length > 0 -%}
+                        {%- for example in examples_info -%}
+                            {{ "\n" + offset + "// " + example|string|replace("'", '"') }}
+                        {%- endfor -%}
+                    {%- endif -%}
+                    {%- set array_declaration = get_array_typescript(param_declaration, param, depth) -%}
+                    {%- if not array_declaration.endswith(",") -%}
+                        {%- set array_declaration = array_declaration + "," -%}
+                    {%- endif -%}
+                    {{ array_declaration}}
+                {%- endif -%}
+            {%- else -%}
+                {%- if "enum" in param -%}
+                    {%- set param_type = get_enum_option_str(param["enum"]) -%}
+                {%- endif -%}
+                {%- if "nullable" in param and param["nullable"] -%}
+                    {%- set param_type = param_type + " | null" -%}
+                {%- endif -%}
+                {%- set param_declaration = param_declaration + ": " + param_type + "," -%}
+                {{ append_new_param_info(param_declaration, comment_info, examples_info, depth) }}
+            {%- endif -%}
+        {%- endif -%}
+    {%- endfor -%}
+{%- endmacro -%}
+
+{%- macro generate_schema_from_functions(functions, namespace='functions') -%}
+    {{ "// Supported function definitions that should be called when necessary.\n" -}}
+    {{- "namespace " + namespace + " {\n\n" -}}
+
+    {%- for function in functions -%}
+        {%- if function.get("function") -%}
+            {%- set function = function.get("function") -%}
+        {%- endif -%}
+
+        {%- set function_name = function.get("name") -%}
+        {%- if function_name -%}
+            {%- set description = function.get('description', '') -%}
+            {%- set parameters = function.get('parameters', {}) -%}
+            {{- "// " + description + "\n" -}}
+            {{- "type " + function_name -}}
+            {%- if parameters and parameters.get("properties") -%}
+                {{- " = (_: {" -}}
+                {%- set required_params = parameters.get("required", []) -%}
+                {{ get_parameter_typescript(parameters.get("properties"), required_params, 0) -}}
+                {{- "\n}) => any;\n\n" }}
+            {%- else -%}
+                {{ " = () => any;\n\n" }}
+            {%- endif -%}
+        {%- endif -%}
+    {%- endfor -%}
+    {{ "} // namespace " + namespace }}
+{%- endmacro -%}
+{%- if not tools -%}
+    {%- set tools = [] -%}
+{%- endif -%}
+{{ bos_token + '<|start_header_id|>system<|end_header_id|>\n\nYou are capable of executing available function(s) if required.\nOnly execute function(s) when absolutely necessary.\nAsk for the required input to:recipient==all\nUse JSON for function arguments.\nRespond in this format:\n>>>${recipient}\n${content}\nAvailable functions:\n' + generate_schema_from_functions(tools) + '<|eot_id|>' -}}
+{%- if tools|length > 0 and tools|selectattr("type", "equalto", "code_interpreter")|list|length > 0 -%}
+    {{ '<|start_header_id|>system<|end_header_id|>\n\nWhen you send a message containing Python code to python, it will be executed in a stateful Jupyter notebook environment. python will respond with the output of the execution or time out after 60.0 seconds. The drive at \'/mnt/data\' can be used to save and persist user files.<|eot_id|>' }}
+{%- endif -%}
+{%- for message in messages -%}
+    {%- if message['role'] == 'user' or message['role'] == 'system' -%}
+        {{ '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n' + message['content'] + '<|eot_id|>' }}
+    {%- elif message['role'] == 'tool' -%}
+        {{ '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n' + message['content'] + '<|eot_id|>' }}
+    {%- else -%}
+        {{ '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'}}
+        {%- if message['content'] -%}
+            {{ '>>>all\n' + message['content'] }}
+        {%- endif -%}
+        {%- if 'tool_calls' in message and message['tool_calls'] -%}
+            {%- for tool_call in message['tool_calls'] -%}
+                {{ '>>>' + tool_call['function']['name'] + '\n' + tool_call['function']['arguments'] }}
+            {%- endfor -%}
+        {%- endif -%}
+        {{ '<|eot_id|>' }}
+    {%- endif -%}
+{%- endfor -%}
+{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n>>>' }}{% endif %}
\ No newline at end of file
diff --git a/models/templates/meta-llama-Llama-3.1-8B-Instruct.jinja b/models/templates/meta-llama-Llama-3.1-8B-Instruct.jinja
new file mode 100644
index 000000000..33089ace1
--- /dev/null
+++ b/models/templates/meta-llama-Llama-3.1-8B-Instruct.jinja
@@ -0,0 +1,109 @@
+{{- bos_token }}
+{%- if custom_tools is defined %}
+    {%- set tools = custom_tools %}
+{%- endif %}
+{%- if not tools_in_user_message is defined %}
+    {%- set tools_in_user_message = true %}
+{%- endif %}
+{%- if not date_string is defined %}
+    {%- set date_string = "26 Jul 2024" %}
+{%- endif %}
+{%- if not tools is defined %}
+    {%- set tools = none %}
+{%- endif %}
+
+{#- This block extracts the system message, so we can slot it into the right place. #}
+{%- if messages[0]['role'] == 'system' %}
+    {%- set system_message = messages[0]['content']|trim %}
+    {%- set messages = messages[1:] %}
+{%- else %}
+    {%- set system_message = "" %}
+{%- endif %}
+
+{#- System message + builtin tools #}
+{{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
+{%- if builtin_tools is defined or tools is not none %}
+    {{- "Environment: ipython\n" }}
+{%- endif %}
+{%- if builtin_tools is defined %}
+    {{- "Tools: " + builtin_tools | reject('equalto', 'code_interpreter') | join(", ") + "\n\n"}}
+{%- endif %}
+{{- "Cutting Knowledge Date: December 2023\n" }}
+{{- "Today Date: " + date_string + "\n\n" }}
+{%- if tools is not none and not tools_in_user_message %}
+    {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
+    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
+    {{- "Do not use variables.\n\n" }}
+    {%- for t in tools %}
+        {{- t | tojson(indent=4) }}
+        {{- "\n\n" }}
+    {%- endfor %}
+{%- endif %}
+{{- system_message }}
+{{- "<|eot_id|>" }}
+
+{#- Custom tools are passed in a user message with some extra guidance #}
+{%- if tools_in_user_message and not tools is none %}
+    {#- Extract the first user message so we can plug it in here #}
+    {%- if messages | length != 0 %}
+        {%- set first_user_message = messages[0]['content']|trim %}
+        {%- set messages = messages[1:] %}
+    {%- else %}
+        {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
+{%- endif %}
+    {{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
+    {{- "Given the following functions, please respond with a JSON for a function call " }}
+    {{- "with its proper arguments that best answers the given prompt.\n\n" }}
+    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
+    {{- "Do not use variables.\n\n" }}
+    {%- for t in tools %}
+        {{- t | tojson(indent=4) }}
+        {{- "\n\n" }}
+    {%- endfor %}
+    {{- first_user_message + "<|eot_id|>"}}
+{%- endif %}
+
+{%- for message in messages %}
+    {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
+        {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}
+    {%- elif 'tool_calls' in message %}
+        {%- if not message.tool_calls|length == 1 %}
+            {{- raise_exception("This model only supports single tool-calls at once!") }}
+        {%- endif %}
+        {%- set tool_call = message.tool_calls[0].function %}
+        {%- if builtin_tools is defined and tool_call.name in builtin_tools %}
+            {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
+            {{- "<|python_tag|>" + tool_call.name + ".call(" }}
+            {%- for arg_name, arg_val in tool_call.arguments | items %}
+                {{- arg_name + '="' + arg_val + '"' }}
+                {%- if not loop.last %}
+                    {{- ", " }}
+                {%- endif %}
+                {%- endfor %}
+            {{- ")" }}
+        {%- else  %}
+            {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
+            {{- '{"name": "' + tool_call.name + '", ' }}
+            {{- '"parameters": ' }}
+            {{- tool_call.arguments | tojson }}
+            {{- "}" }}
+        {%- endif %}
+        {%- if builtin_tools is defined %}
+            {#- This means we're in ipython mode #}
+            {{- "<|eom_id|>" }}
+        {%- else %}
+            {{- "<|eot_id|>" }}
+        {%- endif %}
+    {%- elif message.role == "tool" or message.role == "ipython" %}
+        {{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
+        {%- if message.content is mapping or message.content is iterable %}
+            {{- message.content | tojson }}
+        {%- else %}
+            {{- message.content }}
+        {%- endif %}
+        {{- "<|eot_id|>" }}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
+{%- endif %}
diff --git a/models/templates/meta-llama-Llama-3.2-3B-Instruct.jinja b/models/templates/meta-llama-Llama-3.2-3B-Instruct.jinja
new file mode 100644
index 000000000..1bad6a0f6
--- /dev/null
+++ b/models/templates/meta-llama-Llama-3.2-3B-Instruct.jinja
@@ -0,0 +1,93 @@
+{{- bos_token }}
+{%- if custom_tools is defined %}
+    {%- set tools = custom_tools %}
+{%- endif %}
+{%- if not tools_in_user_message is defined %}
+    {%- set tools_in_user_message = true %}
+{%- endif %}
+{%- if not date_string is defined %}
+    {%- if strftime_now is defined %}
+        {%- set date_string = strftime_now("%d %b %Y") %}
+    {%- else %}
+        {%- set date_string = "26 Jul 2024" %}
+    {%- endif %}
+{%- endif %}
+{%- if not tools is defined %}
+    {%- set tools = none %}
+{%- endif %}
+
+{#- This block extracts the system message, so we can slot it into the right place. #}
+{%- if messages[0]['role'] == 'system' %}
+    {%- set system_message = messages[0]['content']|trim %}
+    {%- set messages = messages[1:] %}
+{%- else %}
+    {%- set system_message = "" %}
+{%- endif %}
+
+{#- System message #}
+{{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
+{%- if tools is not none %}
+    {{- "Environment: ipython\n" }}
+{%- endif %}
+{{- "Cutting Knowledge Date: December 2023\n" }}
+{{- "Today Date: " + date_string + "\n\n" }}
+{%- if tools is not none and not tools_in_user_message %}
+    {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
+    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
+    {{- "Do not use variables.\n\n" }}
+    {%- for t in tools %}
+        {{- t | tojson(indent=4) }}
+        {{- "\n\n" }}
+    {%- endfor %}
+{%- endif %}
+{{- system_message }}
+{{- "<|eot_id|>" }}
+
+{#- Custom tools are passed in a user message with some extra guidance #}
+{%- if tools_in_user_message and not tools is none %}
+    {#- Extract the first user message so we can plug it in here #}
+    {%- if messages | length != 0 %}
+        {%- set first_user_message = messages[0]['content']|trim %}
+        {%- set messages = messages[1:] %}
+    {%- else %}
+        {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
+{%- endif %}
+    {{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
+    {{- "Given the following functions, please respond with a JSON for a function call " }}
+    {{- "with its proper arguments that best answers the given prompt.\n\n" }}
+    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
+    {{- "Do not use variables.\n\n" }}
+    {%- for t in tools %}
+        {{- t | tojson(indent=4) }}
+        {{- "\n\n" }}
+    {%- endfor %}
+    {{- first_user_message + "<|eot_id|>"}}
+{%- endif %}
+
+{%- for message in messages %}
+    {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
+        {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}
+    {%- elif 'tool_calls' in message %}
+        {%- if not message.tool_calls|length == 1 %}
+            {{- raise_exception("This model only supports single tool-calls at once!") }}
+        {%- endif %}
+        {%- set tool_call = message.tool_calls[0].function %}
+        {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
+        {{- '{"name": "' + tool_call.name + '", ' }}
+        {{- '"parameters": ' }}
+        {{- tool_call.arguments | tojson }}
+        {{- "}" }}
+        {{- "<|eot_id|>" }}
+    {%- elif message.role == "tool" or message.role == "ipython" %}
+        {{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
+        {%- if message.content is mapping or message.content is iterable %}
+            {{- message.content | tojson }}
+        {%- else %}
+            {{- message.content }}
+        {%- endif %}
+        {{- "<|eot_id|>" }}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
+{%- endif %}
diff --git a/models/templates/meta-llama-Llama-3.3-70B-Instruct.jinja b/models/templates/meta-llama-Llama-3.3-70B-Instruct.jinja
new file mode 100644
index 000000000..33089ace1
--- /dev/null
+++ b/models/templates/meta-llama-Llama-3.3-70B-Instruct.jinja
@@ -0,0 +1,109 @@
+{{- bos_token }}
+{%- if custom_tools is defined %}
+    {%- set tools = custom_tools %}
+{%- endif %}
+{%- if not tools_in_user_message is defined %}
+    {%- set tools_in_user_message = true %}
+{%- endif %}
+{%- if not date_string is defined %}
+    {%- set date_string = "26 Jul 2024" %}
+{%- endif %}
+{%- if not tools is defined %}
+    {%- set tools = none %}
+{%- endif %}
+
+{#- This block extracts the system message, so we can slot it into the right place. #}
+{%- if messages[0]['role'] == 'system' %}
+    {%- set system_message = messages[0]['content']|trim %}
+    {%- set messages = messages[1:] %}
+{%- else %}
+    {%- set system_message = "" %}
+{%- endif %}
+
+{#- System message + builtin tools #}
+{{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
+{%- if builtin_tools is defined or tools is not none %}
+    {{- "Environment: ipython\n" }}
+{%- endif %}
+{%- if builtin_tools is defined %}
+    {{- "Tools: " + builtin_tools | reject('equalto', 'code_interpreter') | join(", ") + "\n\n"}}
+{%- endif %}
+{{- "Cutting Knowledge Date: December 2023\n" }}
+{{- "Today Date: " + date_string + "\n\n" }}
+{%- if tools is not none and not tools_in_user_message %}
+    {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
+    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
+    {{- "Do not use variables.\n\n" }}
+    {%- for t in tools %}
+        {{- t | tojson(indent=4) }}
+        {{- "\n\n" }}
+    {%- endfor %}
+{%- endif %}
+{{- system_message }}
+{{- "<|eot_id|>" }}
+
+{#- Custom tools are passed in a user message with some extra guidance #}
+{%- if tools_in_user_message and not tools is none %}
+    {#- Extract the first user message so we can plug it in here #}
+    {%- if messages | length != 0 %}
+        {%- set first_user_message = messages[0]['content']|trim %}
+        {%- set messages = messages[1:] %}
+    {%- else %}
+        {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
+{%- endif %}
+    {{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
+    {{- "Given the following functions, please respond with a JSON for a function call " }}
+    {{- "with its proper arguments that best answers the given prompt.\n\n" }}
+    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
+    {{- "Do not use variables.\n\n" }}
+    {%- for t in tools %}
+        {{- t | tojson(indent=4) }}
+        {{- "\n\n" }}
+    {%- endfor %}
+    {{- first_user_message + "<|eot_id|>"}}
+{%- endif %}
+
+{%- for message in messages %}
+    {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
+        {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}
+    {%- elif 'tool_calls' in message %}
+        {%- if not message.tool_calls|length == 1 %}
+            {{- raise_exception("This model only supports single tool-calls at once!") }}
+        {%- endif %}
+        {%- set tool_call = message.tool_calls[0].function %}
+        {%- if builtin_tools is defined and tool_call.name in builtin_tools %}
+            {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
+            {{- "<|python_tag|>" + tool_call.name + ".call(" }}
+            {%- for arg_name, arg_val in tool_call.arguments | items %}
+                {{- arg_name + '="' + arg_val + '"' }}
+                {%- if not loop.last %}
+                    {{- ", " }}
+                {%- endif %}
+                {%- endfor %}
+            {{- ")" }}
+        {%- else  %}
+            {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
+            {{- '{"name": "' + tool_call.name + '", ' }}
+            {{- '"parameters": ' }}
+            {{- tool_call.arguments | tojson }}
+            {{- "}" }}
+        {%- endif %}
+        {%- if builtin_tools is defined %}
+            {#- This means we're in ipython mode #}
+            {{- "<|eom_id|>" }}
+        {%- else %}
+            {{- "<|eot_id|>" }}
+        {%- endif %}
+    {%- elif message.role == "tool" or message.role == "ipython" %}
+        {{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
+        {%- if message.content is mapping or message.content is iterable %}
+            {{- message.content | tojson }}
+        {%- else %}
+            {{- message.content }}
+        {%- endif %}
+        {{- "<|eot_id|>" }}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
+{%- endif %}
diff --git a/models/templates/microsoft-Phi-3.5-mini-instruct.jinja b/models/templates/microsoft-Phi-3.5-mini-instruct.jinja
new file mode 100644
index 000000000..d1533d152
--- /dev/null
+++ b/models/templates/microsoft-Phi-3.5-mini-instruct.jinja
@@ -0,0 +1,8 @@
+{% for message in messages %}{% if message['role'] == 'system' and message['content'] %}{{'<|system|>
+' + message['content'] + '<|end|>
+'}}{% elif message['role'] == 'user' %}{{'<|user|>
+' + message['content'] + '<|end|>
+'}}{% elif message['role'] == 'assistant' %}{{'<|assistant|>
+' + message['content'] + '<|end|>
+'}}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|>
+' }}{% else %}{{ eos_token }}{% endif %}
\ No newline at end of file
diff --git a/models/templates/mistralai-Mistral-Nemo-Instruct-2407.jinja b/models/templates/mistralai-Mistral-Nemo-Instruct-2407.jinja
new file mode 100644
index 000000000..9c21a3f13
--- /dev/null
+++ b/models/templates/mistralai-Mistral-Nemo-Instruct-2407.jinja
@@ -0,0 +1,87 @@
+{%- if messages[0]["role"] == "system" %}
+    {%- set system_message = messages[0]["content"] %}
+    {%- set loop_messages = messages[1:] %}
+{%- else %}
+    {%- set loop_messages = messages %}
+{%- endif %}
+{%- if not tools is defined %}
+    {%- set tools = none %}
+{%- endif %}
+{%- set user_messages = loop_messages | selectattr("role", "equalto", "user") | list %}
+
+{#- This block checks for alternating user/assistant messages, skipping tool calling messages #}
+{%- set ns = namespace() %}
+{%- set ns.index = 0 %}
+{%- for message in loop_messages %}
+    {%- if not (message.role == "tool" or message.role == "tool_results" or (message.tool_calls is defined and message.tool_calls is not none)) %}
+        {%- if (message["role"] == "user") != (ns.index % 2 == 0) %}
+            {{- raise_exception("After the optional system message, conversation roles must alternate user/assistant/user/assistant/...") }}
+        {%- endif %}
+        {%- set ns.index = ns.index + 1 %}
+    {%- endif %}
+{%- endfor %}
+
+{{- bos_token }}
+{%- for message in loop_messages %}
+    {%- if message["role"] == "user" %}
+        {%- if tools is not none and (message == user_messages[-1]) %}
+            {{- "[AVAILABLE_TOOLS][" }}
+            {%- for tool in tools %}
+                {%- set tool = tool.function %}
+                {{- '{"type": "function", "function": {' }}
+                {%- for key, val in tool.items() if key != "return" %}
+                    {%- if val is string %}
+                        {{- '"' + key + '": "' + val + '"' }}
+                    {%- else %}
+                        {{- '"' + key + '": ' + val|tojson }}
+                    {%- endif %}
+                    {%- if not loop.last %}
+                        {{- ", " }}
+                    {%- endif %}
+                {%- endfor %}
+                {{- "}}" }}
+                {%- if not loop.last %}
+                    {{- ", " }}
+                {%- else %}
+                    {{- "]" }}
+                {%- endif %}
+            {%- endfor %}
+            {{- "[/AVAILABLE_TOOLS]" }}
+            {%- endif %}
+        {%- if loop.last and system_message is defined %}
+            {{- "[INST]" + system_message + "\n\n" + message["content"] + "[/INST]" }}
+        {%- else %}
+            {{- "[INST]" + message["content"] + "[/INST]" }}
+        {%- endif %}
+    {%- elif (message.tool_calls is defined and message.tool_calls is not none) %}
+        {{- "[TOOL_CALLS][" }}
+        {%- for tool_call in message.tool_calls %}
+            {%- set out = tool_call.function|tojson %}
+            {{- out[:-1] }}
+            {%- if not tool_call.id is defined or tool_call.id|length != 9 %}
+                {{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
+            {%- endif %}
+            {{- ', "id": "' + tool_call.id + '"}' }}
+            {%- if not loop.last %}
+                {{- ", " }}
+            {%- else %}
+                {{- "]" + eos_token }}
+            {%- endif %}
+        {%- endfor %}
+    {%- elif message["role"] == "assistant" %}
+        {{- message["content"] + eos_token}}
+    {%- elif message["role"] == "tool_results" or message["role"] == "tool" %}
+        {%- if message.content is defined and message.content.content is defined %}
+            {%- set content = message.content.content %}
+        {%- else %}
+            {%- set content = message.content %}
+        {%- endif %}
+        {{- '[TOOL_RESULTS]{"content": ' + content|string + ", " }}
+        {%- if not message.tool_call_id is defined or message.tool_call_id|length != 9 %}
+            {{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
+        {%- endif %}
+        {{- '"call_id": "' + message.tool_call_id + '"}[/TOOL_RESULTS]' }}
+    {%- else %}
+        {{- raise_exception("Only user and assistant roles are supported, with the exception of an initial optional system message!") }}
+    {%- endif %}
+{%- endfor %}
diff --git a/models/templates/moonshotai-Kimi-K2.jinja b/models/templates/moonshotai-Kimi-K2.jinja
new file mode 100644
index 000000000..e286d8a7b
--- /dev/null
+++ b/models/templates/moonshotai-Kimi-K2.jinja
@@ -0,0 +1,43 @@
+{%- if tools -%}
+  <|im_system|>tool_declare<|im_middle|>{{ tools | tojson }}<|im_end|>
+{%- endif -%}
+{%- for message in messages -%}
+  {%- if loop.first and messages[0]['role'] != 'system' -%}
+    <|im_system|>system<|im_middle|>You are a helpful assistant<|im_end|>
+  {%- endif -%}
+  {%- if message['role'] == 'system' -%}
+    <|im_system|>system<|im_middle|>
+  {%- elif message['role'] == 'user' -%}
+    <|im_user|>user<|im_middle|>
+  {%- elif message['role'] == 'assistant' -%}
+    <|im_assistant|>assistant<|im_middle|>
+  {%- elif message['role'] == 'tool' -%}
+    <|im_system|>tool<|im_middle|>
+  {%- endif -%}
+  {%- if message['role'] == 'assistant' and message.get('tool_calls') -%}
+    {%- if message['content'] -%}{{ message['content'] }}{%- endif -%}
+    <|tool_calls_section_begin|>
+    {%- for tool_call in message['tool_calls'] -%}
+      {%- set func_name = tool_call['function']['name'] -%}
+      {%- set formatted_id = 'functions.' + func_name + ':' + loop.index0|string -%}
+      <|tool_call_begin|>{{ formatted_id }}<|tool_call_argument_begin|>{{ tool_call['function']['arguments'] | tojson}}<|tool_call_end|>
+    {%- endfor -%}
+    <|tool_calls_section_end|>
+  {%- elif message['role'] == 'tool' -%}
+    ## Return of {{ message.tool_call_id }}\n{{ message['content'] }}
+  {%- elif message['content'] is string -%}
+    {{ message['content'] }}
+  {%- elif message['content'] is not none -%}
+    {% for content in message['content'] -%}
+      {% if content['type'] == 'image' or 'image' in content or 'image_url' in content -%}
+        <|media_start|>image<|media_content|><|media_pad|><|media_end|>
+      {% else -%}
+        {{ content['text'] }}
+      {%- endif -%}
+    {%- endfor -%}
+  {%- endif -%}
+  <|im_end|>
+{%- endfor -%}
+{%- if add_generation_prompt -%}
+  <|im_assistant|>assistant<|im_middle|>
+{%- endif -%}
diff --git a/models/templates/openai-gpt-oss-120b.jinja b/models/templates/openai-gpt-oss-120b.jinja
new file mode 100644
index 000000000..dc7bb1192
--- /dev/null
+++ b/models/templates/openai-gpt-oss-120b.jinja
@@ -0,0 +1,331 @@
+{#-
+  In addition to the normal inputs of `messages` and `tools`, this template also accepts the
+  following kwargs:
+  - "builtin_tools": A list, can contain "browser" and/or "python".
+  - "model_identity": A string that optionally describes the model identity.
+  - "reasoning_effort": A string that describes the reasoning effort, defaults to "medium".
+ #}
+
+{#- Tool Definition Rendering ============================================== #}
+{%- macro render_typescript_type(param_spec, required_params, is_nullable=false) -%}
+    {%- if param_spec.type == "array" -%}
+        {%- if param_spec['items'] -%}
+            {%- if param_spec['items']['type'] == "string" -%}
+                {{- "string[]" }}
+            {%- elif param_spec['items']['type'] == "number" -%}
+                {{- "number[]" }}
+            {%- elif param_spec['items']['type'] == "integer" -%}
+                {{- "number[]" }}
+            {%- elif param_spec['items']['type'] == "boolean" -%}
+                {{- "boolean[]" }}
+            {%- else -%}
+                {%- set inner_type = render_typescript_type(param_spec['items'], required_params) -%}
+                {%- if inner_type == "object | object" or inner_type|length > 50 -%}
+                    {{- "any[]" }}
+                {%- else -%}
+                    {{- inner_type + "[]" }}
+                {%- endif -%}
+            {%- endif -%}
+            {%- if param_spec.nullable -%}
+                {{- " | null" }}
+            {%- endif -%}
+        {%- else -%}
+            {{- "any[]" }}
+            {%- if param_spec.nullable -%}
+                {{- " | null" }}
+            {%- endif -%}
+        {%- endif -%}
+    {%- elif param_spec.type is defined and param_spec.type is iterable and param_spec.type is not string and param_spec.type is not mapping and param_spec.type[0] is defined -%}
+        {#- Handle array of types like ["object", "object"] from Union[dict, list] #}
+        {%- if param_spec.type | length > 1 -%}
+            {{- param_spec.type | join(" | ") }}
+        {%- else -%}
+            {{- param_spec.type[0] }}
+        {%- endif -%}
+    {%- elif param_spec.oneOf -%}
+        {#- Handle oneOf schemas - check for complex unions and fallback to any #}
+        {%- set has_object_variants = false -%}
+        {%- for variant in param_spec.oneOf -%}
+            {%- if variant.type == "object" -%}
+                {%- set has_object_variants = true -%}
+            {%- endif -%}
+        {%- endfor -%}
+        {%- if has_object_variants and param_spec.oneOf|length > 1 -%}
+            {{- "any" }}
+        {%- else -%}
+            {%- for variant in param_spec.oneOf -%}
+                {{- render_typescript_type(variant, required_params) -}}
+                {%- if variant.description %}
+                    {{- "// " + variant.description }}
+                {%- endif -%}
+                {%- if variant.default is defined %}
+                    {{ "// default: " + variant.default|tojson }}
+                {%- endif -%}
+                {%- if not loop.last %}
+                    {{- " | " }}
+                {% endif -%}
+            {%- endfor -%}
+        {%- endif -%}
+    {%- elif param_spec.type == "string" -%}
+        {%- if param_spec.enum -%}
+            {{- '"' + param_spec.enum|join('" | "') + '"' -}}
+        {%- else -%}
+            {{- "string" }}
+            {%- if param_spec.nullable %}
+                {{- " | null" }}
+            {%- endif -%}
+        {%- endif -%}
+    {%- elif param_spec.type == "number" -%}
+        {{- "number" }}
+    {%- elif param_spec.type == "integer" -%}
+        {{- "number" }}
+    {%- elif param_spec.type == "boolean" -%}
+        {{- "boolean" }}
+
+    {%- elif param_spec.type == "object" -%}
+        {%- if param_spec.properties -%}
+            {{- "{\n" }}
+            {%- for prop_name, prop_spec in param_spec.properties.items() -%}
+                {{- prop_name -}}
+                {%- if prop_name not in (param_spec.required or []) -%}
+                    {{- "?" }}
+                {%- endif -%}
+                {{- ": " }}
+                {{ render_typescript_type(prop_spec, param_spec.required or []) }}
+                {%- if not loop.last -%}
+                    {{-", " }}
+                {%- endif -%}
+            {%- endfor -%}
+            {{- "}" }}
+        {%- else -%}
+            {{- "object" }}
+        {%- endif -%}
+    {%- else -%}
+        {{- "any" }}
+    {%- endif -%}
+{%- endmacro -%}
+
+{%- macro render_tool_namespace(namespace_name, tools) -%}
+    {{- "## " + namespace_name + "\n\n" }}
+    {{- "namespace " + namespace_name + " {\n\n" }}
+    {%- for tool in tools %}
+        {%- set tool = tool.function %}
+        {{- "// " + tool.description + "\n" }}
+        {{- "type "+ tool.name + " = " }}
+        {%- if tool.parameters and tool.parameters.properties %}
+            {{- "(_: {\n" }}
+            {%- for param_name, param_spec in tool.parameters.properties.items() %}
+                {%- if param_spec.description %}
+                    {{- "// " + param_spec.description + "\n" }}
+                {%- endif %}
+                {{- param_name }}
+                {%- if param_name not in (tool.parameters.required or []) -%}
+                    {{- "?" }}
+                {%- endif -%}
+                {{- ": " }}
+                {{- render_typescript_type(param_spec, tool.parameters.required or []) }}
+                {%- if param_spec.default is defined -%}
+                    {%- if param_spec.enum %}
+                        {{- ", // default: " + param_spec.default }}
+                    {%- elif param_spec.oneOf %}
+                        {{- "// default: " + param_spec.default }}
+                    {%- else %}
+                        {{- ", // default: " + param_spec.default|tojson }}
+                    {%- endif -%}
+                {%- endif -%}
+                {%- if not loop.last %}
+                    {{- ",\n" }}
+                {%- else %}
+                    {{- ",\n" }}
+                {%- endif -%}
+            {%- endfor %}
+            {{- "}) => any;\n\n" }}
+        {%- else -%}
+            {{- "() => any;\n\n" }}
+        {%- endif -%}
+    {%- endfor %}
+    {{- "} // namespace " + namespace_name }}
+{%- endmacro -%}
+
+{%- macro render_builtin_tools(browser_tool, python_tool) -%}
+    {%- if browser_tool %}
+        {{- "## browser\n\n" }}
+        {{- "// Tool for browsing.\n" }}
+        {{- "// The `cursor` appears in brackets before each browsing display: `[{cursor}]`.\n" }}
+        {{- "// Cite information from the tool using the following format:\n" }}
+        {{- "// `【{cursor}†L{line_start}(-L{line_end})?】`, for example: `【6†L9-L11】` or `【8†L3】`.\n" }}
+        {{- "// Do not quote more than 10 words directly from the tool output.\n" }}
+        {{- "// sources=web (default: web)\n" }}
+        {{- "namespace browser {\n\n" }}
+        {{- "// Searches for information related to `query` and displays `topn` results.\n" }}
+        {{- "type search = (_: {\n" }}
+        {{- "query: string,\n" }}
+        {{- "topn?: number, // default: 10\n" }}
+        {{- "source?: string,\n" }}
+        {{- "}) => any;\n\n" }}
+        {{- "// Opens the link `id` from the page indicated by `cursor` starting at line number `loc`, showing `num_lines` lines.\n" }}
+        {{- "// Valid link ids are displayed with the formatting: `【{id}†.*】`.\n" }}
+        {{- "// If `cursor` is not provided, the most recent page is implied.\n" }}
+        {{- "// If `id` is a string, it is treated as a fully qualified URL associated with `source`.\n" }}
+        {{- "// If `loc` is not provided, the viewport will be positioned at the beginning of the document or centered on the most relevant passage, if available.\n" }}
+        {{- "// Use this function without `id` to scroll to a new location of an opened page.\n" }}
+        {{- "type open = (_: {\n" }}
+        {{- "id?: number | string, // default: -1\n" }}
+        {{- "cursor?: number, // default: -1\n" }}
+        {{- "loc?: number, // default: -1\n" }}
+        {{- "num_lines?: number, // default: -1\n" }}
+        {{- "view_source?: boolean, // default: false\n" }}
+        {{- "source?: string,\n" }}
+        {{- "}) => any;\n\n" }}
+        {{- "// Finds exact matches of `pattern` in the current page, or the page given by `cursor`.\n" }}
+        {{- "type find = (_: {\n" }}
+        {{- "pattern: string,\n" }}
+        {{- "cursor?: number, // default: -1\n" }}
+        {{- "}) => any;\n\n" }}
+        {{- "} // namespace browser\n\n" }}
+    {%- endif -%}
+
+    {%- if python_tool %}
+        {{- "## python\n\n" }}
+        {{- "Use this tool to execute Python code in your chain of thought. The code will not be shown to the user. This tool should be used for internal reasoning, but not for code that is intended to be visible to the user (e.g. when creating plots, tables, or files).\n\n" }}
+        {{- "When you send a message containing Python code to python, it will be executed in a stateful Jupyter notebook environment. python will respond with the output of the execution or time out after 120.0 seconds. The drive at '/mnt/data' can be used to save and persist user files. Internet access for this session is UNKNOWN. Depends on the cluster.\n\n" }}
+    {%- endif -%}
+{%- endmacro -%}
+
+{#- System Message Construction ============================================ #}
+{%- macro build_system_message() -%}
+    {%- if model_identity is not defined %}
+        {%- set model_identity = "You are ChatGPT, a large language model trained by OpenAI." %}
+    {%- endif %}
+    {{- model_identity + "\n" }}
+    {{- "Knowledge cutoff: 2024-06\n" }}
+    {{- "Current date: " + strftime_now("%Y-%m-%d") + "\n\n" }}
+    {%- if reasoning_effort is not defined %}
+        {%- set reasoning_effort = "medium" %}
+    {%- endif %}
+    {{- "Reasoning: " + reasoning_effort + "\n\n" }}
+    {%- if builtin_tools %}
+        {{- "# Tools\n\n" }}
+        {%- set available_builtin_tools = namespace(browser=false, python=false) %}
+        {%- for tool in builtin_tools %}
+            {%- if tool == "browser" %}
+                {%- set available_builtin_tools.browser = true %}
+            {%- elif tool == "python" %}
+                {%- set available_builtin_tools.python = true %}
+            {%- endif %}
+        {%- endfor %}
+        {{- render_builtin_tools(available_builtin_tools.browser, available_builtin_tools.python) }}
+    {%- endif -%}
+    {{- "# Valid channels: analysis, commentary, final. Channel must be included for every message." }}
+    {%- if tools -%}
+        {{- "\nCalls to these tools must go to the commentary channel: 'functions'." }}
+    {%- endif -%}
+{%- endmacro -%}
+
+{#- Main Template Logic ================================================= #}
+{#- Set defaults #}
+
+{#- Render system message #}
+{{- "<|start|>system<|message|>" }}
+{{- build_system_message() }}
+{{- "<|end|>" }}
+
+{#- Extract developer message #}
+{%- if messages[0].role == "developer" or messages[0].role == "system" %}
+    {%- set developer_message = messages[0].content %}
+    {%- set loop_messages = messages[1:] %}
+{%- else %}
+    {%- set developer_message = "" %}
+    {%- set loop_messages = messages %}
+{%- endif %}
+
+{#- Render developer message #}
+{%- if developer_message or tools %}
+    {{- "<|start|>developer<|message|>" }}
+    {%- if developer_message %}
+        {{- "# Instructions\n\n" }}
+        {{- developer_message }}
+        {{- "\n\n" }}
+    {%- endif %}
+    {%- if tools -%}
+        {{- "# Tools\n\n" }}
+        {{- render_tool_namespace("functions", tools) }}
+    {%- endif -%}
+    {{- "<|end|>" }}
+{%- endif %}
+
+{#- Render messages #}
+{%- set last_tool_call = namespace(name=none) %}
+{%- for message in loop_messages -%}
+    {#- At this point only assistant/user/tool messages should remain #}
+    {%- if message.role == 'assistant' -%}
+        {#- Checks to ensure the messages are being passed in the format we expect #}
+        {%- if "content" in message %}
+            {%- if "<|channel|>analysis<|message|>" in message.content or "<|channel|>final<|message|>" in message.content %}
+                {{- raise_exception("You have passed a message containing <|channel|> tags in the content field. Instead of doing this, you should pass analysis messages (the string between '<|message|>' and '<|end|>') in the 'thinking' field, and final messages (the string between '<|message|>' and '<|end|>') in the 'content' field.") }}
+            {%- endif %}
+        {%- endif %}
+        {%- if "thinking" in message %}
+            {%- if "<|channel|>analysis<|message|>" in message.thinking or "<|channel|>final<|message|>" in message.thinking %}
+                {{- raise_exception("You have passed a message containing <|channel|> tags in the thinking field. Instead of doing this, you should pass analysis messages (the string between '<|message|>' and '<|end|>') in the 'thinking' field, and final messages (the string between '<|message|>' and '<|end|>') in the 'content' field.") }}
+            {%- endif %}
+        {%- endif %}
+        {%- if "tool_calls" in message %}
+            {#- We need very careful handling here - we want to drop the tool call analysis message if the model #}
+            {#- has output a later <|final|> message, but otherwise we want to retain it. This is the only case #}
+            {#- when we render CoT/analysis messages in inference. #}
+            {%- set future_final_message = namespace(found=false) %}
+            {%- for future_message in loop_messages[loop.index:] %}
+                {%- if future_message.role == 'assistant' and "tool_calls" not in future_message %}
+                    {%- set future_final_message.found = true %}
+                {%- endif %}
+            {%- endfor %}
+            {#- We assume max 1 tool call per message, and so we infer the tool call name #}
+            {#- in "tool" messages from the most recent assistant tool call name #}
+            {%- set tool_call = message.tool_calls[0] %}
+            {%- if tool_call.function %}
+                {%- set tool_call = tool_call.function %}
+            {%- endif %}
+            {%- if message.content and message.thinking %}
+                {{- raise_exception("Cannot pass both content and thinking in an assistant message with tool calls! Put the analysis message in one or the other, but not both.") }}
+            {%- elif message.content and not future_final_message.found %}
+                {{- "<|start|>assistant<|channel|>analysis<|message|>" + message.content + "<|end|>" }}
+            {%- elif message.thinking and not future_final_message.found %}
+                {{- "<|start|>assistant<|channel|>analysis<|message|>" + message.thinking + "<|end|>" }}
+            {%- endif %}
+            {{- "<|start|>assistant to=" }}
+            {{- "functions." + tool_call.name + "<|channel|>commentary " }}
+            {{- (tool_call.content_type if tool_call.content_type is defined else "json") + "<|message|>" }}
+            {{- tool_call.arguments|tojson }}
+            {{- "<|call|>" }}
+            {%- set last_tool_call.name = tool_call.name %}
+        {%- elif loop.last and not add_generation_prompt %}
+            {#- Only render the CoT if the final turn is an assistant turn and add_generation_prompt is false #}
+            {#- This is a situation that should only occur in training, never in inference. #}
+            {%- if "thinking" in message %}
+                {{- "<|start|>assistant<|channel|>analysis<|message|>" + message.thinking + "<|end|>" }}
+            {%- endif %}
+            {#- <|return|> indicates the end of generation, but <|end|> does not #}
+            {#- <|return|> should never be an input to the model, but we include it as the final token #}
+            {#- when training, so the model learns to emit it. #}
+            {{- "<|start|>assistant<|channel|>final<|message|>" + message.content + "<|return|>" }}
+        {%- else %}
+            {#- CoT is dropped during all previous turns, so we never render it for inference #}
+            {{- "<|start|>assistant<|channel|>final<|message|>" + message.content + "<|end|>" }}
+            {%- set last_tool_call.name = none %}
+        {%- endif %}
+    {%- elif message.role == 'tool' -%}
+        {%- if last_tool_call.name is none %}
+            {{- raise_exception("Message has tool role, but there was no previous assistant message with a tool call!") }}
+        {%- endif %}
+        {{- "<|start|>functions." + last_tool_call.name }}
+        {{- " to=assistant<|channel|>commentary<|message|>" + message.content|tojson + "<|end|>" }}
+    {%- elif message.role == 'user' -%}
+        {{- "<|start|>user<|message|>" + message.content + "<|end|>" }}
+    {%- endif -%}
+{%- endfor -%}
+
+{#- Generation prompt #}
+{%- if add_generation_prompt -%}
+<|start|>assistant
+{%- endif -%}
\ No newline at end of file
diff --git a/models/templates/unsloth-mistral-Devstral-Small-2507.jinja b/models/templates/unsloth-mistral-Devstral-Small-2507.jinja
new file mode 100644
index 000000000..28b60c7ce
--- /dev/null
+++ b/models/templates/unsloth-mistral-Devstral-Small-2507.jinja
@@ -0,0 +1,105 @@
+{#- Copyright 2025-present the Unsloth team. All rights reserved. #}
+{#- Licensed under the Apache License, Version 2.0 (the "License") #}
+{#- Edits made by Unsloth #}
+{%- set default_system_message = 'You are Devstral, a helpful agentic model trained by Mistral AI and using the OpenHands scaffold. You can interact with a computer to solve tasks.\n\n<ROLE>\nYour primary role is to assist users by executing commands, modifying code, and solving technical problems effectively. You should be thorough, methodical, and prioritize quality over speed.\n* If the user asks a question, like \"why is X happening\", don\'t try to fix the problem. Just give an answer to the question.\n</ROLE>\n\n<EFFICIENCY>\n* Each action you take is somewhat expensive. Wherever possible, combine multiple actions into a single action, e.g. combine multiple bash commands into one, using sed and grep to edit/view multiple files at once.\n* When exploring the codebase, use efficient tools like find, grep, and git commands with appropriate filters to minimize unnecessary operations.\n</EFFICIENCY>\n\n<FILE_SYSTEM_GUIDELINES>\n* When a user provides a file path, do NOT assume it\'s relative to the current working directory. First explore the file system to locate the file before working on it.\n* If asked to edit a file, edit the file directly, rather than creating a new file with a different filename.\n* For global search-and-replace operations, consider using `sed` instead of opening file editors multiple times.\n</FILE_SYSTEM_GUIDELINES>\n\n<CODE_QUALITY>\n* Write clean, efficient code with minimal comments. Avoid redundancy in comments: Do not repeat information that can be easily inferred from the code itself.\n* When implementing solutions, focus on making the minimal changes needed to solve the problem.\n* Before implementing any changes, first thoroughly understand the codebase through exploration.\n* If you are adding a lot of code to a function or file, consider splitting the function or file into smaller pieces when appropriate.\n</CODE_QUALITY>\n\n<VERSION_CONTROL>\n* When configuring git credentials, use \"openhands\" as the user.name and \"openhands@all-hands.dev\" as the user.email by default, unless explicitly instructed otherwise.\n* Exercise caution with git operations. Do NOT make potentially dangerous changes (e.g., pushing to main, deleting repositories) unless explicitly asked to do so.\n* When committing changes, use `git status` to see all modified files, and stage all files necessary for the commit. Use `git commit -a` whenever possible.\n* Do NOT commit files that typically shouldn\'t go into version control (e.g., node_modules/, .env files, build directories, cache files, large binaries) unless explicitly instructed by the user.\n* If unsure about committing certain files, check for the presence of .gitignore files or ask the user for clarification.\n</VERSION_CONTROL>\n\n<PULL_REQUESTS>\n* When creating pull requests, create only ONE per session/issue unless explicitly instructed otherwise.\n* When working with an existing PR, update it with new commits rather than creating additional PRs for the same issue.\n* When updating a PR, preserve the original PR title and purpose, updating description only when necessary.\n</PULL_REQUESTS>\n\n<PROBLEM_SOLVING_WORKFLOW>\n1. EXPLORATION: Thoroughly explore relevant files and understand the context before proposing solutions\n2. ANALYSIS: Consider multiple approaches and select the most promising one\n3. TESTING:\n   * For bug fixes: Create tests to verify issues before implementing fixes\n   * For new features: Consider test-driven development when appropriate\n   * If the repository lacks testing infrastructure and implementing tests would require extensive setup, consult with the user before investing time in building testing infrastructure\n   * If the environment is not set up to run tests, consult with the user first before investing time to install all dependencies\n4. IMPLEMENTATION: Make focused, minimal changes to address the problem\n5. VERIFICATION: If the environment is set up to run tests, test your implementation thoroughly, including edge cases. If the environment is not set up to run tests, consult with the user first before investing time to run tests.\n</PROBLEM_SOLVING_WORKFLOW>\n\n<SECURITY>\n* Only use GITHUB_TOKEN and other credentials in ways the user has explicitly requested and would expect.\n* Use APIs to work with GitHub or other platforms, unless the user asks otherwise or your task requires browsing.\n</SECURITY>\n\n<ENVIRONMENT_SETUP>\n* When user asks you to run an application, don\'t stop if the application is not installed. Instead, please install the application and run the command again.\n* If you encounter missing dependencies:\n  1. First, look around in the repository for existing dependency files (requirements.txt, pyproject.toml, package.json, Gemfile, etc.)\n  2. If dependency files exist, use them to install all dependencies at once (e.g., `pip install -r requirements.txt`, `npm install`, etc.)\n  3. Only install individual packages directly if no dependency files are found or if only specific packages are needed\n* Similarly, if you encounter missing dependencies for essential tools requested by the user, install them when possible.\n</ENVIRONMENT_SETUP>\n\n<TROUBLESHOOTING>\n* If you\'ve made repeated attempts to solve a problem but tests still fail or the user reports it\'s still broken:\n  1. Step back and reflect on 5-7 different possible sources of the problem\n  2. Assess the likelihood of each possible cause\n  3. Methodically address the most likely causes, starting with the highest probability\n  4. Document your reasoning process\n* When you run into any major issue while executing a plan from the user, please don\'t try to directly work around it. Instead, propose a new plan and confirm with the user before proceeding.\n</TROUBLESHOOTING>' %}
+
+{{- bos_token }}
+
+{%- if messages[0]['role'] == 'system' %}
+    {%- if messages[0]['content'] is string %}
+        {%- set system_message = messages[0]['content'] %}
+    {%- else %}
+        {%- set system_message = messages[0]['content'][0]['text'] %}
+    {%- endif %}
+    {%- set loop_messages = messages[1:] %}
+{%- else %}
+    {%- set system_message = default_system_message %}
+    {%- set loop_messages = messages %}
+{%- endif %}
+{{- '[SYSTEM_PROMPT]' + system_message + '[/SYSTEM_PROMPT]' }}
+
+
+{#- Tool description appended ONLY to last user message. Edits made by Unsloth #}
+{#- Tool description appended also if last message is tool. Edits made by Unsloth #}
+{%- set tools_description = "" %}
+{%- set has_tools = false %}
+
+{%- if tools is defined and tools is not none and tools|length > 0 %}
+
+    {%- set has_tools = true %}
+    {%- set tools_description = "[AVAILABLE_TOOLS]" + (tools | tojson) + "[/AVAILABLE_TOOLS]" %}
+
+    {{- tools_description }}
+
+{%- endif %}
+
+{%- for message in loop_messages %}
+    {%- if message['role'] == 'user' %}
+
+        {%- if message['content'] is string %}
+            {{- '[INST]' + message['content'] + '[/INST]' }}
+        {%- else %}
+            {{- '[INST]' }}
+            {%- for block in message['content'] %}
+                {%- if block['type'] == 'text' %}
+
+                    {#- Original did not have content which is weird. Added by Un-sloth. #}
+                    {%- if block['text'] is defined %}
+                        {{- block['text'] }}
+                    {%- else %}
+                        {{- block['content'] }}
+                    {%- endif %}
+
+                {%- elif block['type'] in ['image', 'image_url'] %}
+                    {{- '[IMG]' }}
+                {%- else %}
+                    {{- raise_exception('Only text and image blocks are supported in message content!') }}
+                {%- endif %}
+            {%- endfor %}
+            {{- '[/INST]' }}
+        {%- endif %}
+
+    {%- elif message['role'] == 'system' %}
+        {%- if message['content'] is string %}
+            {{- '[SYSTEM_PROMPT]' + message['content'] + '[/SYSTEM_PROMPT]' }}
+        {%- else %}
+            {{- '[SYSTEM_PROMPT]' + message['content'][0]['text'] + '[/SYSTEM_PROMPT]' }}
+        {%- endif %}
+        
+
+    {%- elif message['role'] == 'assistant' %}
+        {%- if message['content'] is string %}
+            {{- message['content'] }}
+        {%- else %}
+            {{- message['content'][0]['text'] }}
+        {%- endif %}
+
+        {#- If User,Assistant,Tool,Tool we also need to append tools_description. Edits made by Unsloth #}
+
+        {%- if message['tool_calls'] is defined and message['tool_calls'] is not none %}
+            {%- for tool in message['tool_calls'] %}
+                {%- set arguments = tool['function']['arguments'] %}
+                {%- if arguments is not string %}
+                    {%- set arguments = arguments|tojson %}
+                {%- endif %}
+                {#- Must list tool calls AFTER assistant. Edits made by Un-sloth #}
+                {{- "[TOOL_CALLS]" + tool['function']['name'] + "[ARGS]" + arguments }}
+            {%- endfor %}
+        {%- endif %}
+
+        {{- eos_token }}
+
+    {%- elif message["role"] == "tool_results" or message["role"] == "tool" %}
+        {%- if message.content is defined and message.content.content is defined %}
+            {%- set content = message.content.content %}
+        {%- else %}
+            {%- set content = message.content %}
+        {%- endif %}
+        {{- "[TOOL_RESULTS]" + content|string + "[/TOOL_RESULTS]" }}
+
+    {%- else %}
+        {{- raise_exception('Only user, systemm assistant and tool roles are supported in the custom template made by Unsloth!') }}
+    {%- endif %}
+{%- endfor %}
+{#- Copyright 2025-present the Unsloth team. All rights reserved. #}
+{#- Licensed under the Apache License, Version 2.0 (the "License") #}
\ No newline at end of file
diff --git a/requirements.txt b/requirements.txt
index 9e190ae27..f2a18d628 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -10,3 +10,4 @@
 -r ./requirements/requirements-convert_hf_to_gguf_update.txt
 -r ./requirements/requirements-convert_llama_ggml_to_gguf.txt
 -r ./requirements/requirements-convert_lora_to_gguf.txt
+-r ./requirements/requirements-tool_bench.txt
diff --git a/requirements/requirements-all.txt b/requirements/requirements-all.txt
index 94de59d7e..439db8886 100644
--- a/requirements/requirements-all.txt
+++ b/requirements/requirements-all.txt
@@ -10,3 +10,4 @@
 -r ./requirements-convert_hf_to_gguf_update.txt
 -r ./requirements-convert_legacy_llama.txt
 -r ./requirements-convert_llama_ggml_to_gguf.txt
+-r ./requirements-tool_bench.txt
diff --git a/requirements/requirements-tool_bench.txt b/requirements/requirements-tool_bench.txt
new file mode 100644
index 000000000..b94521fc7
--- /dev/null
+++ b/requirements/requirements-tool_bench.txt
@@ -0,0 +1,12 @@
+aiohttp~=3.9.3
+pytest~=8.3.3
+huggingface_hub~=0.23.2
+matplotlib~=3.10.0
+numpy~=1.26.4
+openai~=1.55.3
+pandas~=2.2.3
+prometheus-client~=0.20.0
+requests~=2.32.3
+wget~=3.2
+typer~=0.15.1
+seaborn~=0.13.2
diff --git a/scripts/fetch_server_test_models.py b/scripts/fetch_server_test_models.py
new file mode 100755
index 000000000..e6775bfc5
--- /dev/null
+++ b/scripts/fetch_server_test_models.py
@@ -0,0 +1,105 @@
+#!/usr/bin/env python
+'''
+    This script fetches all the models used in the server tests.
+
+    This is useful for slow tests that use larger models, to avoid them timing out on the model downloads.
+
+    It is meant to be run from the root of the repository.
+
+    Example:
+        python scripts/fetch_server_test_models.py
+        ( cd examples/server/tests && ./tests.sh -v -x -m slow )
+'''
+import ast
+import glob
+import logging
+import os
+from typing import Generator
+from pydantic import BaseModel
+from typing import Optional
+import subprocess
+
+
+class HuggingFaceModel(BaseModel):
+    hf_repo: str
+    hf_file: Optional[str] = None
+
+    class Config:
+        frozen = True
+
+
+def collect_hf_model_test_parameters(test_file) -> Generator[HuggingFaceModel, None, None]:
+    try:
+        with open(test_file) as f:
+            tree = ast.parse(f.read())
+    except Exception as e:
+        logging.error(f'collect_hf_model_test_parameters failed on {test_file}: {e}')
+        return
+
+    for node in ast.walk(tree):
+        if isinstance(node, ast.FunctionDef):
+            for dec in node.decorator_list:
+                if isinstance(dec, ast.Call) and isinstance(dec.func, ast.Attribute) and dec.func.attr == 'parametrize':
+                    param_names = ast.literal_eval(dec.args[0]).split(",")
+                    if "hf_repo" not in param_names:
+                        continue
+
+                    raw_param_values = dec.args[1]
+                    if not isinstance(raw_param_values, ast.List):
+                        logging.warning(f'Skipping non-list parametrize entry at {test_file}:{node.lineno}')
+                        continue
+
+                    hf_repo_idx = param_names.index("hf_repo")
+                    hf_file_idx = param_names.index("hf_file") if "hf_file" in param_names else None
+
+                    for t in raw_param_values.elts:
+                        if not isinstance(t, ast.Tuple):
+                            logging.warning(f'Skipping non-tuple parametrize entry at {test_file}:{node.lineno}')
+                            continue
+                        yield HuggingFaceModel(
+                            hf_repo=ast.literal_eval(t.elts[hf_repo_idx]),
+                            hf_file=ast.literal_eval(t.elts[hf_file_idx]) if hf_file_idx is not None else None)
+
+
+if __name__ == '__main__':
+    logging.basicConfig(level=logging.INFO, format='%(levelname)s: %(message)s')
+
+    models = sorted(list(set([
+        model
+        for test_file in glob.glob('examples/server/tests/unit/test_*.py')
+        for model in collect_hf_model_test_parameters(test_file)
+    ])), key=lambda m: (m.hf_repo, m.hf_file))
+
+    logging.info(f'Found {len(models)} models in parameterized tests:')
+    for m in models:
+        logging.info(f'  - {m.hf_repo} / {m.hf_file}')
+
+    cli_path = os.environ.get(
+        'LLAMA_CLI_BIN_PATH',
+        os.path.join(
+            os.path.dirname(__file__),
+            '../build/bin/Release/llama-cli.exe' if os.name == 'nt' else '../build/bin/llama-cli'))
+
+    for m in models:
+        if '<' in m.hf_repo or (m.hf_file is not None and '<' in m.hf_file):
+            continue
+        if m.hf_file is not None and '-of-' in m.hf_file:
+            logging.warning(f'Skipping model at {m.hf_repo} / {m.hf_file} because it is a split file')
+            continue
+        logging.info(f'Using llama-cli to ensure model {m.hf_repo}/{m.hf_file} was fetched')
+        cmd = [
+            cli_path,
+            '-hfr', m.hf_repo,
+            *([] if m.hf_file is None else ['-hff', m.hf_file]),
+            '-n', '1',
+            '-p', 'Hey',
+            '--no-warmup',
+            '--log-disable',
+            '-no-cnv']
+        if m.hf_file != 'tinyllamas/stories260K.gguf' and 'Mistral-Nemo' not in m.hf_repo:
+            cmd.append('-fa')
+        try:
+            subprocess.check_call(cmd)
+        except subprocess.CalledProcessError:
+            logging.error(f'Failed to fetch model at {m.hf_repo} / {m.hf_file} with command:\n  {" ".join(cmd)}')
+            exit(1)
diff --git a/scripts/get_hf_chat_template.py b/scripts/get_hf_chat_template.py
index 23bb1de59..d8143e400 100644
--- a/scripts/get_hf_chat_template.py
+++ b/scripts/get_hf_chat_template.py
@@ -4,12 +4,11 @@
   If a model has multiple chat templates, you can specify the variant name.
 
   Syntax:
-    ./scripts/get_hf_chat_template.py model_id [variant]
+    ./scripts/get_chat_template.py model_id [variant]
 
   Examples:
-    ./scripts/get_hf_chat_template.py NousResearch/Meta-Llama-3-8B-Instruct
-    ./scripts/get_hf_chat_template.py NousResearch/Hermes-3-Llama-3.1-8B tool_use
-    ./scripts/get_hf_chat_template.py meta-llama/Llama-3.2-3B-Instruct
+    ./scripts/get_chat_template.py CohereForAI/c4ai-command-r-plus tool_use
+    ./scripts/get_chat_template.py microsoft/Phi-3.5-mini-instruct
 '''
 
 import json
@@ -17,7 +16,7 @@
 import sys
 
 
-def get_hf_chat_template(model_id, variant=None):
+def get_chat_template(model_id, variant=None):
     try:
         # Use huggingface_hub library if available.
         # Allows access to gated models if the user has access and ran `huggingface-cli login`.
@@ -69,7 +68,7 @@ def main(args):
     model_id = args[0]
     variant = None if len(args) < 2 else args[1]
 
-    template = get_hf_chat_template(model_id, variant)
+    template = get_chat_template(model_id, variant)
     sys.stdout.write(template)
 
 
diff --git a/scripts/tool_bench.py b/scripts/tool_bench.py
new file mode 100755
index 000000000..c6543c996
--- /dev/null
+++ b/scripts/tool_bench.py
@@ -0,0 +1,379 @@
+#!/usr/bin/env uv run
+'''
+    Simplistic tool call benchmarks for llama-server and ollama.
+
+    Essentially runs the tests at server/examples/server/tests/unit/test_tool_call.py N times, at different temperatures and on different backends (current llama-server, baseline llama-server and ollama),
+    and plots the results of multiple runs (from same .jsonl file or multiple ones) as a success rate heatmap.
+
+    Simple usage example:
+
+        cmake -B build -DLLAMA_CURL=1 && cmake --build build --config Release -j -t llama-server
+
+        export LLAMA_SERVER_BIN_PATH=$PWD/build/bin/llama-server
+        export LLAMA_CACHE=${LLAMA_CACHE:-$HOME/Library/Caches/llama.cpp}
+
+        ./scripts/tool_bench.py run --n 10 --temp -1 --temp 0 --temp 1 --temp 2 --temp 5 --llama-baseline $PWD/buildMaster/bin/llama-server --output qwen14b.jsonl --hf bartowski/Qwen2.5-14B-Instruct-GGUF:Q4_K_L
+        ./scripts/tool_bench.py run --n 30 --temp -1 --temp 0 --temp 1 --model "Qwen 2.5 1.5B Q4_K_M"      --output qwen1.5b.jsonl  --hf bartowski/Qwen2.5-1.5B-Instruct-GGUF      --ollama qwen2.5:1.5b-instruct-q4_K_M
+        ./scripts/tool_bench.py run --n 30 --temp -1 --temp 0 --temp 1 --model "Qwen 2.5 Coder 7B Q4_K_M"  --output qwenc7b.jsonl   --hf bartowski/Qwen2.5-Coder-7B-Instruct-GGUF  --ollama qwen2.5-coder:7b
+
+        ./scripts/tool_bench.py plot *.jsonl                         # Opens window w/ heatmap
+        ./scripts/tool_bench.py plot qwen*.jsonl  --output qwen.png  # Saves heatmap to qwen.png
+
+    (please see ./scripts/tool_bench.sh for a more complete example)
+'''
+# /// script
+# requires-python = ">=3.10"
+# dependencies = [
+#     "pytest",
+#     "pandas",
+#     "matplotlib",
+#     "seaborn",
+#     "requests",
+#     "wget",
+#     "typer",
+# ]
+# ///
+from contextlib import contextmanager
+from pathlib import Path
+import re
+from statistics import mean, median
+from typing import Annotated, Dict, List, Optional, Tuple
+import atexit
+import json
+import logging
+import matplotlib.pyplot as plt
+import numpy as np
+import pandas as pd
+import seaborn as sns
+import subprocess
+import sys
+import time
+import typer
+
+sys.path.insert(0, Path(__file__).parent.parent.as_posix())
+if True:
+    from examples.server.tests.utils import ServerProcess
+    from examples.server.tests.unit.test_tool_call import TIMEOUT_SERVER_START, do_test_calc_result, do_test_hello_world, do_test_weather
+
+
+@contextmanager
+def scoped_server(sp: ServerProcess):
+    def stop():
+        nonlocal sp
+        if sp is not None:
+            sp.stop()
+            sp = None # type: ignore
+    atexit.register(stop)
+    yield sp
+    stop()
+
+
+logging.basicConfig(
+    level=logging.INFO,
+    format='%(asctime)s - %(levelname)s - %(message)s'
+)
+logger = logging.getLogger(__name__)
+
+app = typer.Typer()
+
+
+@app.command()
+def plot(files: List[Path], output: Optional[Path] = None, test_regex: Optional[str] = None, server_regex: Optional[str] = None):
+
+    lines: List[Dict] = []
+    for file in files:
+        if not file.exists():
+            logger.error(f"File not found: {file}")
+            continue
+
+        try:
+            with file.open() as f:
+                raw_data = f.read()
+            logger.info(f"Reading {file} ({len(raw_data)} bytes)")
+
+            for line_num, line in enumerate(raw_data.split('\n'), 1):
+                line = line.strip()
+                if not line:
+                    continue
+                try:
+                    record = json.loads(line)
+                    lines.append(record)
+                except json.JSONDecodeError as e:
+                    logger.warning(f"Invalid JSON at {file}:{line_num} - {e}")
+        except Exception as e:
+            logger.error(f"Error processing {file}: {e}")
+
+    if not lines:
+        raise Exception("No valid data was loaded")
+
+    data_dict: Dict[Tuple, float] = {}
+    models: List[str] = []
+    temps = set()
+    tests = set()
+    server_names = set()
+    total_counts = set()
+    for rec in lines:
+        try:
+            model = rec["model"]
+            temp = rec["temp"]
+            server_name = rec["server_name"]
+            test = rec["test"]
+            success = rec["success_ratio"]
+            success_count = rec["success_count"]
+            failure_count = rec["failure_count"]
+            total_count = success_count + failure_count
+            total_counts.add(total_count)
+
+            if test_regex and not re.search(test_regex, test):
+                continue
+
+            if server_regex and not re.search(server_regex, server_name):
+                continue
+
+            data_dict[(model, temp, server_name, test)] = success
+
+            if model not in models:
+                models.append(model)
+            temps.add(temp)
+            tests.add(test)
+            server_names.add(server_name)
+
+        except KeyError as e:
+            logger.warning(f"Missing required field in record: {e}")
+
+    if len(total_counts) > 1:
+        logger.warning(f"Total counts are not consistent: {total_counts}")
+
+    # Sort the collected values
+    temps = list(sorted(temps, key=lambda x: x if x is not None else -1))
+    tests = list(sorted(tests))
+    server_names = list(sorted(server_names))
+
+    logger.info(f"Processed {len(lines)} lines")
+    logger.info(f"Found {len(data_dict)} valid data points")
+    logger.info(f"Models: {models}")
+    logger.info(f"Temperatures: {temps}")
+    logger.info(f"Tests: {tests}")
+    logger.info(f"Servers: {server_names}")
+
+    matrix: list[list[float]] = []
+    index: list[str] = []
+
+    all_cols = [
+        (server_name, test)
+        for server_name in server_names
+        for test in tests
+    ]
+    for model in models:
+        for temp in temps:
+            index.append(f"{model} @ {temp}")
+            row_vals = [
+                data_dict.get((model, temp, server_name, test), np.nan)
+                for server_name, test in all_cols
+            ]
+            matrix.append(row_vals)
+
+    columns: list[str] = [f"{server_name}\n{test}" for server_name, test in all_cols]
+
+    df = pd.DataFrame(matrix, index=np.array(index), columns=np.array(columns))
+
+    plt.figure(figsize=(12, 6))
+
+    sns.heatmap(
+        df, annot=True, cmap="RdYlGn", vmin=0.0, vmax=1.0, cbar=True, fmt=".2f", center=0.5, square=True, linewidths=0.5,
+        cbar_kws={"label": "Success Ratio"},
+    )
+
+    plt.title(f"Tool Call Bench (n = {str(min(total_counts)) if len(total_counts) == 1 else f'{min(total_counts)}-{max(total_counts)}'})\nSuccess Ratios by Server & Test", pad=20)
+    plt.xlabel("Server & Test", labelpad=10)
+    plt.ylabel("Model @ Temperature", labelpad=10)
+
+    plt.xticks(rotation=45, ha='right')
+    plt.yticks(rotation=0)
+
+    plt.tight_layout()
+
+    if output:
+        plt.savefig(output, dpi=300, bbox_inches='tight')
+        logger.info(f"Plot saved to {output}")
+    else:
+        plt.show()
+
+
+@app.command()
+def run(
+    output: Annotated[Path, typer.Option(help="Output JSON file")],
+    model: Annotated[Optional[str], typer.Option(help="Name of the model to test (server agnostic)")] = None,
+    hf: Annotated[Optional[str], typer.Option(help="GGUF huggingface model repo id (+ optional quant) to test w/ llama-server")] = None,
+    chat_template: Annotated[Optional[str], typer.Option(help="Chat template override for llama-server")] = None,
+    chat_template_file: Annotated[Optional[str], typer.Option(help="Chat template file override for llama-server")] = None,
+    ollama: Annotated[Optional[str], typer.Option(help="Ollama model tag to test")] = None,
+    llama_baseline: Annotated[Optional[str], typer.Option(help="llama-server baseline binary path to use as baseline")] = None,
+    n: Annotated[int, typer.Option(help="Number of times to run each test")] = 10,
+    temp: Annotated[Optional[List[float]], typer.Option(help="Set of temperatures to test")] = None,
+    top_p: Annotated[Optional[float], typer.Option(help="top_p")] = None,
+    top_k: Annotated[Optional[int], typer.Option(help="top_k")] = None,
+    ctk: Annotated[Optional[str], typer.Option(help="ctk")] = None,
+    ctv: Annotated[Optional[str], typer.Option(help="ctv")] = None,
+    fa: Annotated[Optional[bool], typer.Option(help="fa")] = None,
+    seed: Annotated[Optional[int], typer.Option(help="Random seed")] = None,
+    port: Annotated[int, typer.Option(help="llama-server port")] = 8084,
+    force: Annotated[bool, typer.Option(help="Force overwrite of output file")] = False,
+    append: Annotated[bool, typer.Option(help="Append to output file")] = False,
+
+    test_hello_world: Annotated[bool, typer.Option(help="Whether to run the hello world test")] = True,
+    test_weather: Annotated[bool, typer.Option(help="Whether to run the weather test")] = True,
+    test_calc_result: Annotated[bool, typer.Option(help="Whether to run the calc result test")] = False,
+):
+    # Check only one of output and append
+
+    n_predict = 512 # High because of DeepSeek R1
+    # n_ctx = 8192
+    n_ctx = 2048
+
+    if model is None:
+        if hf is not None:
+            model = hf.split("/")[-1]
+        elif ollama is not None:
+            model = ollama
+
+    assert force or append or not output.exists(), f"Output file already exists: {output}; use --force to overwrite"
+
+    with output.open('a' if append else 'w') as output_file:
+
+        def run(server: ServerProcess, *, server_name: str, model_id: str, temp: Optional[float] = None, output_kwargs={}, request_kwargs={}):
+            request_kwargs = {**request_kwargs}
+            if temp is not None:
+                request_kwargs['temperature'] = temp
+            if top_p is not None:
+                request_kwargs['top_p'] = top_p
+            if top_k is not None:
+                request_kwargs['top_k'] = top_k
+            if seed is not None:
+                request_kwargs['seed'] = seed
+
+            request_kwargs['cache_prompt'] = False
+
+            tests = {}
+            if test_hello_world:
+                tests["hello world"] = lambda server: do_test_hello_world(server, **request_kwargs)
+            if test_weather:
+                tests["weather"] = lambda server: do_test_weather(server, **request_kwargs)
+            if test_calc_result:
+                tests["calc result"] = lambda server: do_test_calc_result(server, None, 512, **request_kwargs)
+
+            for test_name, test in tests.items():
+                success_count = 0
+                failure_count = 0
+                failures = []
+                success_times = []
+                failure_times = []
+                logger.info(f"Running {test_name} ({server_name}, {model}): ")
+                for i in range(n):
+                    start_time = time.time()
+
+                    def elapsed():
+                        return time.time() - start_time
+
+                    try:
+                        test(server)
+                        success_times.append(elapsed())
+                        success_count += 1
+                        logger.info('success')
+                    except Exception as e:
+                        logger.error(f'failure: {e}')
+                        failure_count += 1
+                        failure_times.append(elapsed())
+                        failures.append(str(e))
+                        # import traceback
+                        # traceback.print_exc()
+                output_file.write(json.dumps({**output_kwargs, **dict(
+                    model=model,
+                    server_name=server_name,
+                    model_id=model_id,
+                    test=test_name,
+                    temp=t,
+                    top_p=top_p,
+                    top_k=top_k,
+                    ctk=ctk,
+                    ctv=ctv,
+                    seed=seed,
+                    success_ratio=float(success_count) / n,
+                    avg_time=mean(success_times + failure_times),
+                    median_time=median(success_times + failure_times),
+                    success_count=success_count,
+                    success_times=success_times,
+                    failure_count=failure_count,
+                    failure_times=failure_times,
+                    failures=list(set(failures)),
+                )}) + '\n')
+                output_file.flush()
+
+        for t in [None] if temp is None else [t if t >= 0 else None for t in temp]:
+            if hf is not None:
+
+                servers: list[Tuple[str, Optional[str]]] = [('llama-server', None)]
+                if llama_baseline is not None:
+                    servers.append(('llama-server (baseline)', llama_baseline))
+
+                for server_name, server_path in servers:
+                    server = ServerProcess()
+                    server.n_ctx = n_ctx
+                    server.n_slots = 1
+                    server.jinja = True
+                    server.ctk = ctk
+                    server.ctv = ctv
+                    server.fa = fa
+                    server.n_predict = n_predict
+                    server.model_hf_repo = hf
+                    server.model_hf_file = None
+                    server.chat_template = chat_template
+                    server.chat_template_file = chat_template_file
+                    server.server_path = server_path
+                    if port is not None:
+                        server.server_port = port
+                    # server.debug = True
+
+                    with scoped_server(server):
+                        server.start(timeout_seconds=TIMEOUT_SERVER_START)
+                        for ignore_chat_grammar in [False]:
+                            run(
+                                server,
+                                server_name=server_name,
+                                model_id=hf,
+                                temp=t,
+                                output_kwargs=dict(
+                                    chat_template=chat_template,
+                                    chat_template_file=chat_template_file,
+                                ),
+                                request_kwargs=dict(
+                                    ignore_chat_grammar=ignore_chat_grammar,
+                                ),
+                            )
+
+            if ollama is not None:
+                server = ServerProcess()
+                server.server_port = 11434
+                server.server_host = "localhost"
+                subprocess.check_call(["ollama", "pull", ollama])
+
+                with scoped_server(server):
+                    run(
+                        server,
+                        server_name="ollama",
+                        model_id=ollama,
+                        temp=t,
+                        output_kwargs=dict(
+                            chat_template=None,
+                            chat_template_file=None,
+                        ),
+                        request_kwargs=dict(
+                            model=ollama,
+                            max_tokens=n_predict,
+                            num_ctx = n_ctx,
+                        ),
+                    )
+
+
+if __name__ == "__main__":
+    app()
diff --git a/scripts/tool_bench.sh b/scripts/tool_bench.sh
new file mode 100755
index 000000000..6c7616a88
--- /dev/null
+++ b/scripts/tool_bench.sh
@@ -0,0 +1,66 @@
+#!/bin/bash
+set -euo pipefail
+
+cmake --build build -j
+
+export LLAMA_CACHE=${LLAMA_CACHE:-$HOME/Library/Caches/llama.cpp}
+export LLAMA_SERVER_BIN_PATH=$PWD/build/bin/llama-server
+
+if [ ! -x "$LLAMA_SERVER_BIN_PATH" ]; then
+    echo "Could not find llama-server binary at $LLAMA_SERVER_BIN_PATH"
+    exit 1
+fi
+if [ ! -d "$LLAMA_CACHE" ]; then
+    echo "Could not find llama cache at $LLAMA_CACHE, please set LLAMA_CACHE explicitly."
+    exit 1
+fi
+
+export ARGS=(
+    --llama-baseline="$(which llama-server)"
+    --n 30
+    --temp -1  # Leaves temperature parameter unset (use the server's default, e.g. 0.6 for ollama)
+    --temp 0
+    --temp 0.5
+    --temp 0.75
+    --temp 1
+    --temp 1.5
+    --temp 2
+    --temp 5
+    "$@"
+)
+
+./scripts/tool_bench.py run ${ARGS[@]} --model "Qwen 2.5 Coder 0.5B Q4_K_M"           --output ../qwenc0.5b.jsonl --hf bartowski/Qwen2.5-Coder-0.5B-Instruct-GGUF:Q4_K_M --ollama qwen2.5-coder:0.5b-instruct-q4_K_M
+./scripts/tool_bench.py run ${ARGS[@]} --model "Qwen 2.5 Coder 1.5B Q4_K_M"           --output ../qwenc1.5b.jsonl --hf bartowski/Qwen2.5-Coder-1.5B-Instruct-GGUF:Q4_K_M --ollama qwen2.5-coder:1.5b-instruct-q4_K_M
+./scripts/tool_bench.py run ${ARGS[@]} --model "Qwen 2.5 Coder 3B Q4_K_M"             --output ../qwenc3b.jsonl   --hf bartowski/Qwen2.5-Coder-3B-Instruct-GGUF:Q4_K_M   --ollama qwen2.5-coder:3b-instruct-q4_K_M
+./scripts/tool_bench.py run ${ARGS[@]} --model "Qwen 2.5 Coder 7B Q4_K_M"             --output ../qwenc7b.jsonl   --hf bartowski/Qwen2.5-Coder-7B-Instruct-GGUF:Q4_K_M   --ollama qwen2.5-coder:7b-instruct-q4_K_M
+./scripts/tool_bench.py run ${ARGS[@]} --model "Qwen 2.5 Coder 32B Q4_K_M"            --output ../qwenc32b.jsonl  --hf bartowski/Qwen2.5-Coder-32B-Instruct-GGUF:Q4_K_M  --ollama qwen2.5-coder:32B-instruct-q4_K_M
+./scripts/tool_bench.py run ${ARGS[@]} --model "Qwen 2.5 1.5B Q4_K_M"                 --output ../qwen1.5b.jsonl  --hf bartowski/Qwen2.5-1.5B-Instruct-GGUF:Q4_K_M       --ollama qwen2.5:1.5b-instruct-q4_K_M
+./scripts/tool_bench.py run ${ARGS[@]} --model "Qwen 2.5 3B Q4_K_M"                   --output ../qwen3b.jsonl    --hf bartowski/Qwen2.5-3B-Instruct-GGUF:Q4_K_M         --ollama qwen2.5:3b-instruct-q4_K_M
+./scripts/tool_bench.py run ${ARGS[@]} --model "Qwen 2.5 7B Q4_K_M"                   --output ../qwen7b.jsonl    --hf bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M         --ollama qwen2.5:7b-instruct-q4_K_M
+
+./scripts/tool_bench.py run ${ARGS[@]} --model "Llama 3.2 Instruct 1B Q4_K_M"         --output ../llama1b.jsonl   --hf bartowski/Llama-3.2-1B-Instruct-GGUF:Q4_K_M       --ollama llama3.2:1b-instruct-q4_K_M
+./scripts/tool_bench.py run ${ARGS[@]} --model "Llama 3.2 Instruct 3B Q4_K_M"         --output ../llama3b.jsonl   --hf bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M       --ollama llama3.2:3b-instruct-q4_K_M
+./scripts/tool_bench.py run ${ARGS[@]} --model "Llama 3.1 Instruct 8B Q4_K_M"         --output ../llama8b.jsonl   --hf bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M  --ollama llama3.1:8b-instruct-q4_K_M
+./scripts/tool_bench.py run ${ARGS[@]} --model "Llama 3.3 70B Q4_K_M"                 --output ../llama70b.jsonl  --hf bartowski/Llama-3.3-70B-Instruct-GGUF:Q4_K_M
+
+./scripts/tool_bench.py run ${ARGS[@]} --model "Mistral Nemo Q4_K_M"                  --output ../nemo.jsonl      --hf bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M  --ollama mistral-nemo:12b-instruct-2407-q4_K_M
+
+./scripts/tool_bench.py run ${ARGS[@]} --model "Hermes 3 Llama 3.1 8B Q4_K_M"         --output ../hermes3.jsonl   --hf bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M       --ollama hermes3:8b-llama3.1-q4_K_M  --chat-template-file <( python scripts/get_chat_template.py NousResearch/Hermes-3-Llama-3.1-8B tool_use )
+./scripts/tool_bench.py run ${ARGS[@]} --model "Hermes 2 Pro Llama 3 8B Q4_K_M"       --output ../hermes2.jsonl   --hf bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M     --ollama hermes2:8b-llama3-q4_K_M    --chat-template-file <( python scripts/get_chat_template.py NousResearch/Hermes-2-Pro-Llama-3-8B tool_use )
+
+./scripts/tool_bench.py run ${ARGS[@]} --model "Functionary Small V3.2 Q4_K_M"        --output ../funct3.2.jsonl  --hf bartowski/functionary-small-v3.2-GGUF:Q4_K_M
+./scripts/tool_bench.py run ${ARGS[@]} --model "FireFunction V2 IQ1_M"                --output ../firef2.jsonl    --hf bartowski/firefunction-v2-GGUF:IQ1_M                                                   --chat-template-file <( python scripts/get_chat_template.py fireworks-ai/llama-3-firefunction-v2 tool_use )
+
+./scripts/tool_bench.py run ${ARGS[@]} --model "Command R7B 12-2024 Q6_K_L"           --output ../c4ai.jsonl      --hf bartowski/c4ai-command-r7b-12-2024-GGUF:Q6_K_L                                         --chat-template-file <( python scripts/get_chat_template.py CohereForAI/c4ai-command-r7b-12-2024 tool_use )
+
+./scripts/tool_bench.py run ${ARGS[@]} --model "Gemma 2 2B Q8_0"                      --output ../gemma2.jsonl    --hf bartowski/gemma-2-2b-it-GGUF:Q8_0
+./scripts/tool_bench.py run ${ARGS[@]} --model "Phi 4 Instruct Q4_K_M"                --output ../phi4.jsonl      --hf bartowski/phi-4-GGUF:Q4_K_M                       # --ollama phi4
+./scripts/tool_bench.py run ${ARGS[@]} --model "Phi 3.5 Mini Instruct Q4_K_M"         --output ../phi3.5.jsonl    --hf bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M       # --ollama phi3.5:3.8b-mini-instruct-q4_K_M
+
+# ./scripts/tool_bench.py run ${ARGS[@]} --model "DeepSeek R1 Distill Qwen 7B Q6_K_L"   --output ../dsqw7.jsonl     --hf bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q6_K_L --chat-template-file <( python scripts/get_chat_template.py NousResearch/DeepSeek-R1-Distill-Qwen-7B tool_use )
+# ./scripts/tool_bench.py run ${ARGS[@]} --model "DeepSeek R1 Distill Qwen 32B Q4_K_M"  --output ../dsqw32.jsonl    --hf bartowski/DeepSeek-R1-Distill-Qwen-32B-GGUF:Q4_K_M --chat-template-file <( python scripts/get_chat_template.py NousResearch/DeepSeek-R1-Distill-Qwen-32B tool_use )
+
+
+for f in ../*.jsonl; do
+    ./scripts/tool_bench.py plot "$f" --output ${f%.jsonl}.png || true
+done
diff --git a/src/llama-grammar.cpp b/src/llama-grammar.cpp
index c5c29d217..12f20dae8 100644
--- a/src/llama-grammar.cpp
+++ b/src/llama-grammar.cpp
@@ -1,9 +1,27 @@
 #include "llama-grammar.h"
-
+#include "llama-vocab.h"
 #include "llama-vocab.h"
 #include "llama-sampling.h"
 
+#include <cmath>
 #include <algorithm>
+#include <stdexcept>
+
+// NOTE: assumes valid utf8 (but checks for overrun)
+static std::pair<uint32_t, const char*> decode_utf8(const char* src) {
+    static const int lookup[] = { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 3, 4 };
+    uint8_t  first_byte = static_cast<uint8_t>(*src);
+    uint8_t  highbits = first_byte >> 4;
+    int      len = lookup[highbits];
+    uint8_t  mask = (1 << (8 - len)) - 1;
+    uint32_t value = first_byte & mask;
+    const char* end = src + len; // may overrun!
+    const char* pos = src + 1;
+    for (; pos < end && *pos; pos++) {
+        value = (value << 6) + (static_cast<uint8_t>(*pos) & 0x3F);
+    }
+    return std::make_pair(value, pos);
+}
 
 // Decodes a UTF-8 string which may end in an incomplete sequence. Adds a terminating 0 for use as
 // pointer. If an invalid sequence is encountered, returns `llama_partial_utf8.n_remain == -1`.
@@ -67,12 +85,533 @@ std::pair<std::vector<uint32_t>, llama_partial_utf8> decode_utf8(
     return std::make_pair(std::move(code_points), llama_partial_utf8{ value, n_remain });
 }
 
-const llama_grammar_rules & llama_grammar_get_rules(const struct llama_grammar * grammar) {
-    return grammar->rules;
+
+static bool is_digit_char(char c) {
+    return '0' <= c && c <= '9';
 }
 
-llama_grammar_stacks & llama_grammar_get_stacks(struct llama_grammar * grammar) {
-    return grammar->stacks;
+static bool is_word_char(char c) {
+    return ('a' <= c && c <= 'z') || ('A' <= c && c <= 'Z') || c == '-' || is_digit_char(c);
+}
+
+static std::pair<uint32_t, const char*> parse_hex(const char* src, int size) {
+    const char* pos = src;
+    const char* end = src + size;
+    uint32_t     value = 0;
+    for (; pos < end && *pos; pos++) {
+        value <<= 4;
+        char c = *pos;
+        if ('a' <= c && c <= 'f') {
+            value += c - 'a' + 10;
+        }
+        else if ('A' <= c && c <= 'F') {
+            value += c - 'A' + 10;
+        }
+        else if ('0' <= c && c <= '9') {
+            value += c - '0';
+        }
+        else {
+            break;
+        }
+    }
+    if (pos != end) {
+        throw std::runtime_error("expecting " + std::to_string(size) + " hex chars at " + src);
+    }
+    return std::make_pair(value, pos);
+}
+
+static const char* parse_space(const char* src, bool newline_ok) {
+    const char* pos = src;
+    while (*pos == ' ' || *pos == '\t' || *pos == '#' ||
+        (newline_ok && (*pos == '\r' || *pos == '\n'))) {
+        if (*pos == '#') {
+            while (*pos && *pos != '\r' && *pos != '\n') {
+                pos++;
+            }
+        }
+        else {
+            pos++;
+        }
+    }
+    return pos;
+}
+
+static const char* parse_name(const char* src) {
+    const char* pos = src;
+    while (is_word_char(*pos)) {
+        pos++;
+    }
+    if (pos == src) {
+        throw std::runtime_error(std::string("expecting name at ") + src);
+    }
+    return pos;
+}
+
+static const char* parse_int(const char* src) {
+    const char* pos = src;
+    while (is_digit_char(*pos)) {
+        pos++;
+    }
+    if (pos == src) {
+        throw std::runtime_error(std::string("expecting integer at ") + src);
+    }
+    return pos;
+}
+
+static std::pair<uint32_t, const char*> parse_char(const char* src) {
+    if (*src == '\\') {
+        switch (src[1]) {
+        case 'x': return parse_hex(src + 2, 2);
+        case 'u': return parse_hex(src + 2, 4);
+        case 'U': return parse_hex(src + 2, 8);
+        case 't': return std::make_pair('\t', src + 2);
+        case 'r': return std::make_pair('\r', src + 2);
+        case 'n': return std::make_pair('\n', src + 2);
+        case '\\':
+        case '"':
+        case '[':
+        case ']':
+            return std::make_pair(src[1], src + 2);
+        default:
+            throw std::runtime_error(std::string("unknown escape at ") + src);
+        }
+    }
+    else if (*src) {
+        return decode_utf8(src);
+    }
+    throw std::runtime_error("unexpected end of input");
+}
+
+static void print_grammar_char(FILE* file, uint32_t c) {
+    if (0x20 <= c && c <= 0x7f) {
+        fprintf(file, "%c", static_cast<char>(c));
+    }
+    else {
+        // cop out of encoding UTF-8
+        fprintf(file, "<U+%04X>", c);
+    }
+}
+
+static bool is_char_element(llama_grammar_element elem) {
+    switch (elem.type) {
+    case LLAMA_GRETYPE_CHAR:           return true;
+    case LLAMA_GRETYPE_CHAR_NOT:       return true;
+    case LLAMA_GRETYPE_CHAR_ALT:       return true;
+    case LLAMA_GRETYPE_CHAR_RNG_UPPER: return true;
+    case LLAMA_GRETYPE_CHAR_ANY:       return true;
+    default:                           return false;
+    }
+}
+
+static void print_rule_binary(FILE* file, const llama_grammar_rule& rule) {
+    for (auto elem : rule) {
+        switch (elem.type) {
+        case LLAMA_GRETYPE_END:            fprintf(file, "END");            break;
+        case LLAMA_GRETYPE_ALT:            fprintf(file, "ALT");            break;
+        case LLAMA_GRETYPE_RULE_REF:       fprintf(file, "RULE_REF");       break;
+        case LLAMA_GRETYPE_CHAR:           fprintf(file, "CHAR");           break;
+        case LLAMA_GRETYPE_CHAR_NOT:       fprintf(file, "CHAR_NOT");       break;
+        case LLAMA_GRETYPE_CHAR_RNG_UPPER: fprintf(file, "CHAR_RNG_UPPER"); break;
+        case LLAMA_GRETYPE_CHAR_ALT:       fprintf(file, "CHAR_ALT");       break;
+        case LLAMA_GRETYPE_CHAR_ANY:       fprintf(file, "CHAR_ANY");       break;
+        }
+        switch (elem.type) {
+        case LLAMA_GRETYPE_END:
+        case LLAMA_GRETYPE_ALT:
+        case LLAMA_GRETYPE_RULE_REF:
+            fprintf(file, "(%u) ", elem.value);
+            break;
+        case LLAMA_GRETYPE_CHAR:
+        case LLAMA_GRETYPE_CHAR_NOT:
+        case LLAMA_GRETYPE_CHAR_RNG_UPPER:
+        case LLAMA_GRETYPE_CHAR_ALT:
+        case LLAMA_GRETYPE_CHAR_ANY:
+            fprintf(file, "(\"");
+            print_grammar_char(file, elem.value);
+            fprintf(file, "\") ");
+            break;
+        }
+    }
+    fprintf(file, "\n");
+}
+
+static void print_rule(
+    FILE* file,
+    uint32_t   rule_id,
+    const llama_grammar_rule& rule,
+    const std::map<uint32_t, std::string>& symbol_id_names) {
+    if (rule.empty() || rule.back().type != LLAMA_GRETYPE_END) {
+        throw std::runtime_error(
+            "malformed rule, does not end with LLAMA_GRETYPE_END: " + std::to_string(rule_id));
+    }
+    fprintf(file, "%s ::= ", symbol_id_names.at(rule_id).c_str());
+    for (size_t i = 0, end = rule.size() - 1; i < end; i++) {
+        llama_grammar_element elem = rule[i];
+        switch (elem.type) {
+        case LLAMA_GRETYPE_END:
+            throw std::runtime_error(
+                "unexpected end of rule: " + std::to_string(rule_id) + "," +
+                std::to_string(i));
+        case LLAMA_GRETYPE_ALT:
+            fprintf(file, "| ");
+            break;
+        case LLAMA_GRETYPE_RULE_REF:
+            fprintf(file, "%s ", symbol_id_names.at(elem.value).c_str());
+            break;
+        case LLAMA_GRETYPE_CHAR:
+            fprintf(file, "[");
+            print_grammar_char(file, elem.value);
+            break;
+        case LLAMA_GRETYPE_CHAR_NOT:
+            fprintf(file, "[^");
+            print_grammar_char(file, elem.value);
+            break;
+        case LLAMA_GRETYPE_CHAR_RNG_UPPER:
+            if (i == 0 || !is_char_element(rule[i - 1])) {
+                throw std::runtime_error(
+                    "LLAMA_GRETYPE_CHAR_RNG_UPPER without preceding char: " +
+                    std::to_string(rule_id) + "," + std::to_string(i));
+            }
+            fprintf(file, "-");
+            print_grammar_char(file, elem.value);
+            break;
+        case LLAMA_GRETYPE_CHAR_ALT:
+            if (i == 0 || !is_char_element(rule[i - 1])) {
+                throw std::runtime_error(
+                    "LLAMA_GRETYPE_CHAR_ALT without preceding char: " +
+                    std::to_string(rule_id) + "," + std::to_string(i));
+            }
+            print_grammar_char(file, elem.value);
+            break;
+        case LLAMA_GRETYPE_CHAR_ANY:
+            fprintf(file, ".");
+            break;
+        }
+        if (is_char_element(elem)) {
+            switch (rule[i + 1].type) {
+            case LLAMA_GRETYPE_CHAR_ALT:
+            case LLAMA_GRETYPE_CHAR_RNG_UPPER:
+            case LLAMA_GRETYPE_CHAR_ANY:
+                break;
+            default:
+                fprintf(file, "] ");
+            }
+        }
+    }
+    fprintf(file, "\n");
+}
+
+//
+// implementation
+//
+
+uint32_t llama_grammar_parser::get_symbol_id(const char* src, size_t len) {
+    uint32_t next_id = static_cast<uint32_t>(symbol_ids.size());
+    auto result = symbol_ids.emplace(std::string(src, len), next_id);
+    return result.first->second;
+}
+
+uint32_t llama_grammar_parser::generate_symbol_id(const std::string& base_name) {
+    uint32_t next_id = static_cast<uint32_t>(symbol_ids.size());
+    symbol_ids[base_name + '_' + std::to_string(next_id)] = next_id;
+    return next_id;
+}
+
+void llama_grammar_parser::add_rule(uint32_t rule_id, const llama_grammar_rule& rule) {
+    if (rules.size() <= rule_id) {
+        rules.resize(rule_id + 1);
+    }
+    rules[rule_id] = rule;
+}
+
+const char* llama_grammar_parser::parse_alternates(
+    const char* src,
+    const std::string& rule_name,
+    uint32_t            rule_id,
+    bool                is_nested) {
+    llama_grammar_rule rule;
+    const char* pos = parse_sequence(src, rule_name, rule, is_nested);
+    while (*pos == '|') {
+        rule.push_back({ LLAMA_GRETYPE_ALT, 0 });
+        pos = parse_space(pos + 1, true);
+        pos = parse_sequence(pos, rule_name, rule, is_nested);
+    }
+    rule.push_back({ LLAMA_GRETYPE_END, 0 });
+    add_rule(rule_id, rule);
+    return pos;
+}
+
+const char* llama_grammar_parser::parse_sequence(
+    const char* src,
+    const std::string& rule_name,
+    llama_grammar_rule& rule,
+    bool               is_nested) {
+    size_t last_sym_start = rule.size();
+    const char* pos = src;
+
+    auto handle_repetitions = [&](int min_times, int max_times) {
+
+        if (last_sym_start == rule.size()) {
+            throw std::runtime_error(std::string("expecting preceding item to */+/?/{ at ") + pos);
+        }
+
+        // apply transformation to previous symbol (last_sym_start to end) according to
+        // the following rewrite rules:
+        // S{m,n} --> S S S (m times) S'(n-m)
+        //            S'(x)   ::= S S'(x-1) |
+        //            (... n-m definitions of these S' rules ...)
+        //            S'(1)   ::= S |
+        // S{m,} -->  S S S (m times) S'
+        //            S'     ::= S S' |
+        // S*     --> S{0,}
+        //        --> S'     ::= S S' |
+        // S+     --> S{1,}
+        //        --> S S'
+        //            S'     ::= S S' |
+        // S?     --> S{0,1}
+        //        --> S'
+        //            S'     ::= S |
+
+        llama_grammar_rule prev_rule(rule.begin() + last_sym_start, rule.end());
+        if (min_times == 0) {
+            rule.resize(last_sym_start);
+        }
+        else {
+            // Repeat the previous elements (min_times - 1) times
+            for (int i = 1; i < min_times; i++) {
+                rule.insert(rule.end(), prev_rule.begin(), prev_rule.end());
+            }
+        }
+
+        uint32_t last_rec_rule_id = 0;
+        auto n_opt = max_times < 0 ? 1 : max_times - min_times;
+
+        llama_grammar_rule rec_rule(prev_rule);
+        for (int i = 0; i < n_opt; i++) {
+            rec_rule.resize(prev_rule.size());
+            uint32_t rec_rule_id = generate_symbol_id(rule_name);
+            if (i > 0 || max_times < 0) {
+                rec_rule.push_back({ LLAMA_GRETYPE_RULE_REF, max_times < 0 ? rec_rule_id : last_rec_rule_id });
+            }
+            rec_rule.push_back({ LLAMA_GRETYPE_ALT, 0 });
+            rec_rule.push_back({ LLAMA_GRETYPE_END, 0 });
+            add_rule(rec_rule_id, rec_rule);
+            last_rec_rule_id = rec_rule_id;
+        }
+        if (n_opt > 0) {
+            rule.push_back({ LLAMA_GRETYPE_RULE_REF, last_rec_rule_id });
+        }
+    };
+
+    while (*pos) {
+        if (*pos == '"') { // literal string
+            pos++;
+            last_sym_start = rule.size();
+            while (*pos != '"') {
+                if (!*pos) {
+                    throw std::runtime_error("unexpected end of input");
+                }
+                auto char_pair = parse_char(pos);
+                pos = char_pair.second;
+                rule.push_back({ LLAMA_GRETYPE_CHAR, char_pair.first });
+            }
+            pos = parse_space(pos + 1, is_nested);
+        }
+        else if (*pos == '[') { // char range(s)
+            pos++;
+            enum llama_gretype start_type = LLAMA_GRETYPE_CHAR;
+            if (*pos == '^') {
+                pos++;
+                start_type = LLAMA_GRETYPE_CHAR_NOT;
+            }
+            last_sym_start = rule.size();
+            while (*pos != ']') {
+                if (!*pos) {
+                    throw std::runtime_error("unexpected end of input");
+                }
+                auto char_pair = parse_char(pos);
+                pos = char_pair.second;
+                enum llama_gretype type = last_sym_start < rule.size()
+                    ? LLAMA_GRETYPE_CHAR_ALT
+                    : start_type;
+
+                rule.push_back({ type, char_pair.first });
+                if (pos[0] == '-' && pos[1] != ']') {
+                    if (!pos[1]) {
+                        throw std::runtime_error("unexpected end of input");
+                    }
+                    auto endchar_pair = parse_char(pos + 1);
+                    pos = endchar_pair.second;
+                    rule.push_back({ LLAMA_GRETYPE_CHAR_RNG_UPPER, endchar_pair.first });
+                }
+            }
+            pos = parse_space(pos + 1, is_nested);
+        }
+        else if (is_word_char(*pos)) { // rule reference
+            const char* name_end = parse_name(pos);
+            uint32_t ref_rule_id = get_symbol_id(pos, name_end - pos);
+            pos = parse_space(name_end, is_nested);
+            last_sym_start = rule.size();
+            rule.push_back({ LLAMA_GRETYPE_RULE_REF, ref_rule_id });
+        }
+        else if (*pos == '(') { // grouping
+         // parse nested alternates into synthesized rule
+            pos = parse_space(pos + 1, true);
+            uint32_t sub_rule_id = generate_symbol_id(rule_name);
+            pos = parse_alternates(pos, rule_name, sub_rule_id, true);
+            last_sym_start = rule.size();
+            // output reference to synthesized rule
+            rule.push_back({ LLAMA_GRETYPE_RULE_REF, sub_rule_id });
+            if (*pos != ')') {
+                throw std::runtime_error(std::string("expecting ')' at ") + pos);
+            }
+            pos = parse_space(pos + 1, is_nested);
+        }
+        else if (*pos == '.') { // any char
+            last_sym_start = rule.size();
+            rule.push_back({ LLAMA_GRETYPE_CHAR_ANY, 0 });
+            pos = parse_space(pos + 1, is_nested);
+        }
+        else if (*pos == '*') {
+            pos = parse_space(pos + 1, is_nested);
+            handle_repetitions(0, -1);
+        }
+        else if (*pos == '+') {
+            pos = parse_space(pos + 1, is_nested);
+            handle_repetitions(1, -1);
+        }
+        else if (*pos == '?') {
+            pos = parse_space(pos + 1, is_nested);
+            handle_repetitions(0, 1);
+        }
+        else if (*pos == '{') {
+            pos = parse_space(pos + 1, is_nested);
+
+            if (!is_digit_char(*pos)) {
+                throw std::runtime_error(std::string("expecting an int at ") + pos);
+            }
+            const char* int_end = parse_int(pos);
+            int min_times = std::stoul(std::string(pos, int_end - pos));
+            pos = parse_space(int_end, is_nested);
+
+            int max_times = -1;
+
+            if (*pos == '}') {
+                max_times = min_times;
+                pos = parse_space(pos + 1, is_nested);
+            }
+            else if (*pos == ',') {
+                pos = parse_space(pos + 1, is_nested);
+
+                if (is_digit_char(*pos)) {
+                    const char* int_end = parse_int(pos);
+                    max_times = std::stoul(std::string(pos, int_end - pos));
+                    pos = parse_space(int_end, is_nested);
+                }
+
+                if (*pos != '}') {
+                    throw std::runtime_error(std::string("expecting '}' at ") + pos);
+                }
+                pos = parse_space(pos + 1, is_nested);
+            }
+            else {
+                throw std::runtime_error(std::string("expecting ',' at ") + pos);
+            }
+            handle_repetitions(min_times, max_times);
+        }
+        else {
+            break;
+        }
+    }
+    return pos;
+}
+
+const char* llama_grammar_parser::parse_rule(const char* src) {
+    const char* name_end = parse_name(src);
+    const char* pos = parse_space(name_end, false);
+    size_t       name_len = name_end - src;
+    uint32_t     rule_id = get_symbol_id(src, name_len);
+    const std::string name(src, name_len);
+
+    if (!(pos[0] == ':' && pos[1] == ':' && pos[2] == '=')) {
+        throw std::runtime_error(std::string("expecting ::= at ") + pos);
+    }
+    pos = parse_space(pos + 3, true);
+
+    pos = parse_alternates(pos, name, rule_id, false);
+
+    if (*pos == '\r') {
+        pos += pos[1] == '\n' ? 2 : 1;
+    }
+    else if (*pos == '\n') {
+        pos++;
+    }
+    else if (*pos) {
+        throw std::runtime_error(std::string("expecting newline or end at ") + pos);
+    }
+    return parse_space(pos, true);
+}
+
+bool llama_grammar_parser::parse(const char* src) {
+    try {
+        const char* pos = parse_space(src, true);
+        while (*pos) {
+            pos = parse_rule(pos);
+        }
+        // Validate the state to ensure that all rules are defined
+        for (const auto& rule : rules) {
+            if (rule.empty()) {
+                throw std::runtime_error("Undefined rule");
+            }
+            for (const auto& elem : rule) {
+                if (elem.type == LLAMA_GRETYPE_RULE_REF) {
+                    // Ensure that the rule at that location exists
+                    if (elem.value >= rules.size() || rules[elem.value].empty()) {
+                        // Get the name of the rule that is missing
+                        for (const auto& kv : symbol_ids) {
+                            if (kv.second == elem.value) {
+                                throw std::runtime_error("Undefined rule identifier '" + kv.first + "'");
+                            }
+                        }
+                    }
+                }
+            }
+        }
+    }
+    catch (const std::exception& err) {
+        fprintf(stderr, "%s: error parsing grammar: %s\n\n%s\n", __func__, err.what(), src);
+        rules.clear();
+        return false;
+    }
+
+    return true;
+}
+
+void llama_grammar_parser::print(FILE* file) {
+    try {
+        std::map<uint32_t, std::string> symbol_id_names;
+        for (const auto& kv : symbol_ids) {
+            symbol_id_names[kv.second] = kv.first;
+        }
+        for (size_t i = 0, end = rules.size(); i < end; i++) {
+            // fprintf(file, "%zu: ", i);
+            // print_rule_binary(file, rules[i]);
+            print_rule(file, uint32_t(i), rules[i], symbol_id_names);
+            // fprintf(file, "\n");
+        }
+    }
+    catch (const std::exception& err) {
+        fprintf(stderr, "\n%s: error printing grammar: %s\n", __func__, err.what());
+    }
+}
+
+llama_grammar_stack llama_grammar_parser::c_rules() const {
+    llama_grammar_stack ret;
+    ret.reserve(rules.size());
+    for (const auto& rule : rules) {
+        ret.push_back(rule.data());
+    }
+    return ret;
 }
 
 // returns true iff pos points to the end of one of the definitions of a rule
@@ -89,7 +628,6 @@ static bool llama_grammar_is_end_of_sequence(const llama_grammar_element * pos)
 static std::pair<bool, const llama_grammar_element *> llama_grammar_match_char(
         const llama_grammar_element * pos,
         const uint32_t                chr) {
-
     bool found            = false;
     bool is_positive_char = pos->type == LLAMA_GRETYPE_CHAR || pos->type == LLAMA_GRETYPE_CHAR_ANY;
 
@@ -100,11 +638,13 @@ static std::pair<bool, const llama_grammar_element *> llama_grammar_match_char(
             // inclusive range, e.g. [a-z]
             found = found || (pos->value <= chr && chr <= pos[1].value);
             pos += 2;
-        } else if (pos->type == LLAMA_GRETYPE_CHAR_ANY) {
+        }
+        else if (pos->type == LLAMA_GRETYPE_CHAR_ANY) {
             // Any character matches "."
             found = true;
             pos += 1;
-        } else {
+        }
+        else {
             // exact char match, e.g. [a] or "a"
             found = found || pos->value == chr;
             pos += 1;
@@ -138,7 +678,8 @@ static bool llama_grammar_match_partial_char(
     if (low == 0) {
         if (n_remain == 2) {
             low = 1 << 11;
-        } else if (n_remain == 3) {
+        }
+        else if (n_remain == 3) {
             low = 1 << 16;
         }
     }
@@ -150,10 +691,12 @@ static bool llama_grammar_match_partial_char(
                 return is_positive_char;
             }
             pos += 2;
-        } else if (pos->type == LLAMA_GRETYPE_CHAR_ANY) {
+        }
+        else if (pos->type == LLAMA_GRETYPE_CHAR_ANY) {
             // Any character matches "."
             return true;
-        } else {
+        }
+        else {
             // exact char match, e.g. [a] or "a"
             if (low <= pos->value && pos->value <= high) {
                 return is_positive_char;
@@ -203,7 +746,8 @@ static void llama_grammar_advance_stack(
                 if (subpos->type == LLAMA_GRETYPE_ALT) {
                     // there's another alternate def of this rule to process
                     subpos++;
-                } else {
+            }
+            else {
                     break;
                 }
             } while (true);
@@ -225,6 +769,90 @@ static void llama_grammar_advance_stack(
     }
 }
 
+static llama_grammar_candidates llama_grammar_reject_candidates(
+    const llama_grammar_rules& rules,
+    const llama_grammar_stacks& stacks,
+    const llama_grammar_candidates& candidates) {
+    GGML_ASSERT(!stacks.empty()); // REVIEW
+
+    if (candidates.empty()) {
+        return {};
+    }
+
+    auto rejects = llama_grammar_reject_candidates_for_stack(rules, stacks.front(), candidates);
+
+    for (size_t i = 1, size = stacks.size(); i < size; ++i) {
+        rejects = llama_grammar_reject_candidates_for_stack(rules, stacks[i], rejects);
+    }
+
+    return rejects;
+}
+
+static bool llama_grammar_detect_left_recursion(
+    const llama_grammar_rules& rules,
+    size_t rule_index,
+    std::vector<bool>* rules_visited,
+    std::vector<bool>* rules_in_progress,
+    std::vector<bool>* rules_may_be_empty) {
+    if ((*rules_in_progress)[rule_index]) {
+        return true;
+    }
+
+    (*rules_in_progress)[rule_index] = true;
+
+    const llama_grammar_rule& rule = rules[rule_index];
+
+    // First check if the rule might produce the empty string. This could be done combined with the second
+    // step but it's more readable as two steps.
+    bool at_rule_start = true;
+    for (size_t i = 0; i < rule.size(); i++) {
+        if (llama_grammar_is_end_of_sequence(&rule[i])) {
+            if (at_rule_start) {
+                (*rules_may_be_empty)[rule_index] = true;
+                break;
+            }
+            at_rule_start = true;
+        }
+        else {
+            at_rule_start = false;
+        }
+    }
+
+    // Second, recurse into leftmost nonterminals (or next-leftmost as long as the previous nonterminal may
+    // be empty)
+    bool recurse_into_nonterminal = true;
+    for (size_t i = 0; i < rule.size(); i++) {
+        if (rule[i].type == LLAMA_GRETYPE_RULE_REF && recurse_into_nonterminal) {
+            if (llama_grammar_detect_left_recursion(rules, (size_t)rule[i].value, rules_visited, rules_in_progress, rules_may_be_empty)) {
+                return true;
+            }
+            if (!((*rules_may_be_empty)[(size_t)rule[i].value])) {
+                recurse_into_nonterminal = false;
+            }
+        }
+        else if (llama_grammar_is_end_of_sequence(&rule[i])) {
+            recurse_into_nonterminal = true;
+        }
+        else {
+            recurse_into_nonterminal = false;
+        }
+    }
+
+    (*rules_in_progress)[rule_index] = false;
+    (*rules_visited)[rule_index] = true;
+
+    return false;
+}
+
+const llama_grammar_rules & llama_grammar_get_rules(const struct llama_grammar * grammar) {
+    return grammar->rules;
+}
+
+llama_grammar_stacks & llama_grammar_get_stacks(struct llama_grammar * grammar) {
+    return grammar->stacks;
+}
+
+
 // takes a set of possible pushdown stacks on a grammar, which are required to
 // be positioned at a character range (see `llama_grammar_advance_stack`), and
 // produces the N possible stacks if the given char is accepted at those
@@ -255,23 +883,6 @@ void llama_grammar_accept(
     }
 }
 
-static llama_grammar_candidates llama_grammar_reject_candidates(
-        const llama_grammar_rules  & rules,
-        const llama_grammar_stacks & stacks,
-        const llama_grammar_candidates & candidates) {
-    GGML_ASSERT(!stacks.empty()); // REVIEW
-
-    if (candidates.empty()) {
-        return {};
-    }
-
-    auto rejects = llama_grammar_reject_candidates_for_stack(rules, stacks.front(), candidates);
-
-    for (size_t i = 1, size = stacks.size(); i < size; ++i) {
-        rejects = llama_grammar_reject_candidates_for_stack(rules, stacks[i], rejects);
-    }
-    return rejects;
-}
 
 llama_grammar_candidates llama_grammar_reject_candidates_for_stack(
         const llama_grammar_rules      & rules,
@@ -328,72 +939,118 @@ llama_grammar_candidates llama_grammar_reject_candidates_for_stack(
     return rejects;
 }
 
-static bool llama_grammar_detect_left_recursion(
-        const llama_grammar_rules & rules,
-        size_t rule_index,
-        std::vector<bool> * rules_visited,
-        std::vector<bool> * rules_in_progress,
-        std::vector<bool> * rules_may_be_empty) {
-    if ((*rules_in_progress)[rule_index]) {
-        return true;
-    }
+//
+// implementation
+//
 
-    (*rules_in_progress)[rule_index] = true;
+//
+// grammar - external
+//
 
-    const llama_grammar_rule & rule = rules[rule_index];
 
-    // First check if the rule might produce the empty string. This could be done combined with the second
-    // step but it's more readable as two steps.
-    bool at_rule_start = true;
-    for (size_t i = 0; i < rule.size(); i++) {
-        if (llama_grammar_is_end_of_sequence(&rule[i])) {
-            if (at_rule_start) {
-                (*rules_may_be_empty)[rule_index] = true;
-                break;
+struct llama_grammar* llama_grammar_init_impl(
+    const llama_grammar_element** rules,
+    size_t n_rules,
+    size_t start_rule_index) {
+    const llama_grammar_element* pos;
+
+    // copy rule definitions into vectors
+    llama_grammar_rules vec_rules(n_rules);
+    for (size_t i = 0; i < n_rules; i++) {
+        for (pos = rules[i]; pos->type != LLAMA_GRETYPE_END; pos++) {
+            vec_rules[i].push_back(*pos);
             }
-            at_rule_start = true;
-        } else {
-            at_rule_start = false;
+        vec_rules[i].push_back({ LLAMA_GRETYPE_END, 0 });
+        }
+
+    // Check for left recursion
+    std::vector<bool> rules_visited(n_rules);
+    std::vector<bool> rules_in_progress(n_rules);
+    std::vector<bool> rules_may_be_empty(n_rules);
+    for (size_t i = 0; i < n_rules; i++) {
+        if (rules_visited[i]) {
+            continue;
+    }
+        if (llama_grammar_detect_left_recursion(vec_rules, i, &rules_visited, &rules_in_progress, &rules_may_be_empty)) {
+            LLAMA_LOG_ERROR("unsupported grammar, left recursion detected for nonterminal at index %zu", i);
+            return nullptr;
         }
     }
 
-    // Second, recurse into leftmost nonterminals (or next-leftmost as long as the previous nonterminal may
-    // be empty)
-    bool recurse_into_nonterminal = true;
-    for (size_t i = 0; i < rule.size(); i++) {
-        if (rule[i].type == LLAMA_GRETYPE_RULE_REF && recurse_into_nonterminal) {
-            if (llama_grammar_detect_left_recursion(rules, (size_t)rule[i].value, rules_visited, rules_in_progress, rules_may_be_empty)) {
-                return true;
+    // loop over alternates of start rule to build initial stacks
+    llama_grammar_stacks stacks;
+    pos = vec_rules[start_rule_index].data();
+    do {
+        llama_grammar_stack stack;
+        if (!llama_grammar_is_end_of_sequence(pos)) {
+            // if alternate is nonempty, add to stack
+            stack.push_back(pos);
             }
-            if (!((*rules_may_be_empty)[(size_t)rule[i].value])) {
-                recurse_into_nonterminal = false;
+        llama_grammar_advance_stack(vec_rules, stack, stacks);
+        while (!llama_grammar_is_end_of_sequence(pos)) {
+            // scan to end of alternate def
+            pos++;
             }
-        } else if (llama_grammar_is_end_of_sequence(&rule[i])) {
-            recurse_into_nonterminal = true;
-        } else {
-            recurse_into_nonterminal = false;
+        if (pos->type == LLAMA_GRETYPE_ALT) {
+            // there's another alternate def of this rule to process
+            pos++;
         }
+        else {
+            break;
     }
+    } while (true);
 
-    (*rules_in_progress)[rule_index] = false;
-    (*rules_visited)[rule_index] = true;
-    return false;
+    // Important: vec_rules has to be moved here, not copied, because stacks contains
+    // pointers to elements of vec_rules. If vec_rules were copied into llama_grammar
+    // then the pointers would be invalidated when the local vec_rules goes out of scope.
+    return new llama_grammar{
+        NULL,
+        std::move(vec_rules),
+        std::move(stacks),
+        /* .partial_utf8 = */     {},
+        /* .lazy =*/              false,
+        /* .awaiting_trigger = */ false,
+        /* .trigger_buffer = */   "",
+        /* .trigger_tokens   = */ {},
+        /* .trigger_patterns    = */ {},
+    };
 }
 
-//
-// grammar - external
-//
+struct llama_grammar* llama_grammar_init_impl(
+    const struct llama_vocab* vocab,
+    const char* grammar_str,
+    const char* grammar_root,
+    bool lazy,
+    const char** trigger_patterns,
+    size_t num_trigger_patterns,
+    const llama_token* trigger_tokens,
+    size_t num_trigger_tokens) {
+    llama_grammar_parser parser;
+
+    // if there is a grammar, parse it
+    // rules will be empty (default) if there are parse errors
+    if (!parser.parse(grammar_str) || parser.rules.empty()) {
+        fprintf(stderr, "%s: failed to parse grammar\n", __func__);
+        return nullptr;
+    }
+
+    // Ensure that there is a "root" node.
+    if (parser.symbol_ids.find("root") == parser.symbol_ids.end()) {
+        fprintf(stderr, "%s: grammar does not contain a 'root' symbol\n", __func__);
+        return nullptr;
+    }
+
+    std::vector<const llama_grammar_element*> grammar_rules(parser.c_rules());
+
+    const size_t n_rules = grammar_rules.size();
+    const size_t start_rule_index = parser.symbol_ids.at(grammar_root);
 
-struct llama_grammar * llama_grammar_init_impl(
-            const llama_grammar_element ** rules,
-                                 size_t    n_rules,
-                                 size_t    start_rule_index) {
     const llama_grammar_element * pos;
 
     // copy rule definitions into vectors
     llama_grammar_rules vec_rules(n_rules);
     for (size_t i = 0; i < n_rules; i++) {
-        for (pos = rules[i]; pos->type != LLAMA_GRETYPE_END; pos++) {
+        for (pos = grammar_rules[i]; pos->type != LLAMA_GRETYPE_END; pos++) {
             vec_rules[i].push_back(*pos);
         }
         vec_rules[i].push_back({LLAMA_GRETYPE_END, 0});
@@ -430,15 +1087,40 @@ struct llama_grammar * llama_grammar_init_impl(
         if (pos->type == LLAMA_GRETYPE_ALT) {
             // there's another alternate def of this rule to process
             pos++;
-        } else {
+        }
+        else {
             break;
         }
     } while (true);
 
+    std::vector<llama_token>    vec_trigger_tokens;
+    std::vector<llama_grammar_trigger_pattern> vec_trigger_patterns;
+    for (size_t i = 0; i < num_trigger_tokens; i++) {
+        GGML_ASSERT(trigger_tokens != nullptr);
+        vec_trigger_tokens.push_back(trigger_tokens[i]);
+    }
+    for (size_t i = 0; i < num_trigger_patterns; i++) {
+        GGML_ASSERT(trigger_patterns != nullptr);
+        auto& trigger = vec_trigger_patterns.emplace_back();
+        trigger.pattern = trigger_patterns[i];
+        trigger.regex = std::regex(trigger.pattern);
+    }
+
+
     // Important: vec_rules has to be moved here, not copied, because stacks contains
     // pointers to elements of vec_rules. If vec_rules were copied into llama_grammar
     // then the pointers would be invalidated when the local vec_rules goes out of scope.
-    return new llama_grammar{ std::move(vec_rules), std::move(stacks), {} };
+    return new llama_grammar{
+        vocab,
+        std::move(vec_rules),
+        std::move(stacks),
+        /* .partial_utf8 = */     {},
+        /* .lazy = */             lazy,
+        /* .awaiting_trigger = */ lazy,
+        /* .trigger_buffer = */   "",
+        std::move(vec_trigger_tokens),
+        std::move(vec_trigger_patterns),
+    };
 }
 
 void llama_grammar_free_impl(struct llama_grammar * grammar) {
@@ -446,8 +1128,17 @@ void llama_grammar_free_impl(struct llama_grammar * grammar) {
 }
 
 struct llama_grammar * llama_grammar_copy_impl(const struct llama_grammar * grammar) {
-    llama_grammar * result = new llama_grammar{ grammar->rules, grammar->stacks, grammar->partial_utf8 };
-
+    auto* result = new llama_grammar{
+        grammar->vocab,
+        grammar->rules,
+        grammar->stacks,
+        grammar->partial_utf8,
+        grammar->lazy,
+        grammar->awaiting_trigger,
+        grammar->trigger_buffer,
+        grammar->trigger_tokens,
+        grammar->trigger_patterns,
+    };
     // redirect elements in stacks to point to new rules
     for (size_t is = 0; is < result->stacks.size(); is++) {
         for (size_t ie = 0; ie < result->stacks[is].size(); ie++) {
@@ -467,7 +1158,9 @@ struct llama_grammar * llama_grammar_copy_impl(const struct llama_grammar * gram
 void llama_grammar_sample_impl(const struct llama_grammar * grammar, const struct llama_vocab * vocab, const struct llama_sampling * smpl, llama_token_data_array * candidates) {
     GGML_ASSERT(grammar);
     GGML_ASSERT(vocab);
-
+    if (grammar->awaiting_trigger) {
+        return;
+    }
     int64_t t_start_sample_us = ggml_time_us();
 
     bool allow_eog = false;
@@ -504,14 +1197,55 @@ void llama_grammar_sample_impl(const struct llama_grammar * grammar, const struc
     for (const auto & reject : rejects) {
         candidates->data[reject.index].logit = -INFINITY;
     }
-
+    if (!smpl) {
     smpl->t_sample_us += ggml_time_us() - t_start_sample_us;
 }
+}
 
 void llama_grammar_accept_token_impl(struct llama_grammar * grammar, const struct llama_vocab * vocab, const struct llama_sampling * smpl, llama_token token) {
     const int64_t t_start_sample_us = ggml_time_us();
+    GGML_ASSERT(grammar->vocab != nullptr);
+    const auto& piece = grammar->vocab->token_to_piece(token);
+
+    if (grammar->awaiting_trigger) {
+        if (std::find(grammar->trigger_tokens.begin(), grammar->trigger_tokens.end(), token) != grammar->trigger_tokens.end()) {
+            grammar->awaiting_trigger = false;
+            grammar->trigger_buffer.clear();
+            llama_grammar_accept_str(grammar, piece);
+            LLAMA_LOG_DEBUG("Grammar triggered on token %u (`%s`)", token, piece.c_str());
+            return;
+        }  else {
+            grammar->trigger_buffer += piece;
+
+            std::smatch match;
+            for (const auto& trigger_pattern : grammar->trigger_patterns) {
+                if (std::regex_match(grammar->trigger_buffer, match, trigger_pattern.regex)) {
+                    grammar->awaiting_trigger = false;
+                    // get from the first matched capturing group to the end of the string
+                    size_t start = std::string::npos;
+                    for (auto i = 1u; i < match.size(); i++) {
+                        if (match.length(i) > 0) {
+                            start = match.position(i);
+                            break;
+                        }
+                    }
+                    if (start == std::string::npos) {
+                        start = match.position(0);
+                    }
+                    auto constrained_str = grammar->trigger_buffer.substr(start);
+                    // std::string constrained_str(match[1].first, grammar.trigger_buffer.end());
+                    grammar->trigger_buffer.clear();
+                    llama_grammar_accept_str(grammar, constrained_str);
+                    //LLAMA_LOG_DEBUG("Grammar triggered on regex: '%s'\n", constrained_str.c_str());
+                    return;
+                }
+            }
+            //LLAMA_LOG_DEBUG("Grammar still awaiting trigger after token %d (`%s`)\n", token, piece.c_str());
+            return;
+        }
+    }
 
-    if (vocab->is_eog(token)) {
+    if (llama_token_is_eog(vocab, token)) {
         for (const auto & stack : grammar->stacks) {
             if (stack.empty()) {
                 return;
@@ -520,20 +1254,34 @@ void llama_grammar_accept_token_impl(struct llama_grammar * grammar, const struc
         GGML_ABORT("fatal error");
     }
 
-    const std::string & piece = vocab->token_to_piece(token);
+    llama_grammar_accept_str(grammar, piece);
+    smpl->t_sample_us += ggml_time_us() - t_start_sample_us;
+}
+
+void llama_grammar_accept_str(struct llama_grammar* grammar, const std::string& piece) {
 
     // Note terminating 0 in decoded string
     const auto   decoded     = decode_utf8(piece, grammar->partial_utf8);
     const auto & code_points = decoded.first;
-
     llama_grammar_stacks tmp_new_stacks;
-    for (auto it = code_points.begin(), end = code_points.end() - 1; it != end; ++it) {
+    for (auto it = code_points.begin(), end = code_points.end()-1; it != end; ++it) {
         llama_grammar_accept(grammar->rules, grammar->stacks, *it, tmp_new_stacks);
-        grammar->stacks = tmp_new_stacks;
+        // avoid empty grammar stack at the end of the code_points
+        // mainline has this bug too, reason unknown
+        if (end == code_points.end() - 1) { 
+            if (tmp_new_stacks.size()) {
+                grammar->stacks = tmp_new_stacks;
+            }
+        }
+        else {
+            grammar->stacks = tmp_new_stacks;
+        }
+
     }
 
     grammar->partial_utf8 = decoded.second;
-    GGML_ASSERT(!grammar->stacks.empty());
+    if (grammar->stacks.empty()) {
+        throw std::runtime_error("Unexpected empty grammar stack after accepting piece: " + piece);
+    }
 
-    smpl->t_sample_us += ggml_time_us() - t_start_sample_us;
 }
diff --git a/src/llama-grammar.h b/src/llama-grammar.h
index 695ea0632..532f9d226 100644
--- a/src/llama-grammar.h
+++ b/src/llama-grammar.h
@@ -1,26 +1,90 @@
 #pragma once
 
 #include "llama-impl.h"
+#include <map>
+#include <regex>
+#include <string>
+#include <vector>
 
 struct llama_vocab;
 struct llama_sampling;
 
+struct llama_grammar_parser {
+    std::map<std::string, uint32_t> symbol_ids;
+
+    llama_grammar_rules rules;
+
+    llama_grammar_stack c_rules() const;
+
+    uint32_t get_symbol_id(const char* src, size_t len);
+    uint32_t generate_symbol_id(const std::string& base_name);
+
+    void add_rule(uint32_t rule_id, const llama_grammar_rule& rule);
+
+    const char* parse_alternates(
+        const char* src,
+        const std::string& rule_name,
+        uint32_t            rule_id,
+        bool                is_nested);
+
+    const char* parse_sequence(
+        const char* src,
+        const std::string& rule_name,
+        llama_grammar_rule& rule,
+        bool               is_nested);
+
+    const char* parse_rule(const char* src);
+
+    bool parse(const char* src);
+    void print(FILE* file);
+};
+
+struct llama_grammar_trigger_pattern {
+    std::string pattern;
+    std::regex  regex;
+};
+
 struct llama_grammar {
-    const llama_grammar_rules  rules;
-          llama_grammar_stacks stacks;
+    // note: allow null vocab for testing (not great)
+    const llama_vocab* vocab;
+
+    const llama_grammar_rules  rules;  // TODO: shared ptr
+    llama_grammar_stacks stacks;
 
     // buffer for partially generated UTF-8 sequence from accepted tokens
     llama_partial_utf8 partial_utf8;
+
+    // lazy grammars wait for trigger words or tokens before constraining the sampling.
+    // we still ahve trigger_tokens for non-lazy grammars to force printing of special trigger tokens.
+    // (useful e.g. for tool_choice=required)
+    bool                     lazy = false;
+    bool                     awaiting_trigger = false; // Initialized to true for lazy grammars only
+    std::string              trigger_buffer;           // Output buffered by lazy grammar. Will be cleared once trigger is found.
+    std::vector<llama_token> trigger_tokens;           // Tokens that trigger a lazy grammar, or tokens to force printing of (even if special).
+    std::vector<llama_grammar_trigger_pattern> trigger_patterns;
+               // Regular expressions that trigger a lazy grammar. Must be a full match of the entire generated
+                                  // string, and the grammar will be given the string from the first match group onwards.
+
 };
 
 //
 // internal API
 //
+// note: needed for tests (not great)
+struct llama_grammar* llama_grammar_init_impl(
+    const llama_grammar_element** rules,
+    size_t n_rules,
+    size_t start_rule_index);
 
-struct llama_grammar * llama_grammar_init_impl(
-            const llama_grammar_element ** rules,
-                                 size_t    n_rules,
-                                 size_t    start_rule_index);
+struct llama_grammar* llama_grammar_init_impl(
+    const struct llama_vocab* vocab,
+    const char* grammar_str,
+    const char* grammar_root,
+    bool lazy,
+    const char** trigger_patterns,
+    size_t num_trigger_patterns,
+    const llama_token* trigger_tokens,
+    size_t num_trigger_tokens);
 
 void llama_grammar_free_impl(struct llama_grammar * grammar);
 
@@ -37,3 +101,8 @@ void llama_grammar_accept_token_impl(
           const struct llama_vocab * vocab,
        const struct llama_sampling * smpl,
                        llama_token   token);
+
+
+void llama_grammar_accept_str(
+    struct llama_grammar* grammar,
+    const std::string& piece);
diff --git a/src/llama-impl.h b/src/llama-impl.h
index cd4e0730a..5d5f2caf4 100644
--- a/src/llama-impl.h
+++ b/src/llama-impl.h
@@ -36,6 +36,7 @@ void llama_log_internal        (ggml_log_level level, const char * format, ...);
 void llama_log_callback_default(ggml_log_level level, const char * text, void * user_data);
 
 #define LLAMA_LOG_INFO(...)  llama_log_internal(GGML_LOG_LEVEL_INFO , __VA_ARGS__)
+#define LLAMA_LOG_DEBUG(...)  llama_log_internal(GGML_LOG_LEVEL_DEBUG , __VA_ARGS__)
 #define LLAMA_LOG_WARN(...)  llama_log_internal(GGML_LOG_LEVEL_WARN , __VA_ARGS__)
 #define LLAMA_LOG_ERROR(...) llama_log_internal(GGML_LOG_LEVEL_ERROR, __VA_ARGS__)
 #define LLAMA_LOG_DEBUG(...) llama_log_internal(GGML_LOG_LEVEL_DEBUG, __VA_ARGS__)
diff --git a/src/llama-sampling.cpp b/src/llama-sampling.cpp
index 0d806d8a8..ea8095064 100644
--- a/src/llama-sampling.cpp
+++ b/src/llama-sampling.cpp
@@ -1035,3 +1035,175 @@ struct llama_sampler_dry* llama_sampler_init_dry_impl(const struct llama_vocab&
 }
 
 
+// grammar
+
+struct llama_sampler_grammar {
+    const struct llama_vocab* vocab;
+
+    std::string grammar_str;
+    std::string grammar_root;
+
+    struct llama_grammar* grammar;
+};
+
+static const char* llama_sampler_grammar_name(const struct llama_sampler* /*smpl*/) {
+    return "grammar";
+}
+
+static void llama_sampler_grammar_accept_impl(struct llama_sampler* smpl, llama_token token) {
+    auto* ctx = (llama_sampler_grammar*)smpl->ctx;
+    if (ctx->grammar) {
+        llama_grammar_accept_token_impl(ctx->grammar,ctx->vocab ,nullptr, token);
+    }
+}
+
+static void llama_sampler_grammar_apply(struct llama_sampler* smpl, llama_token_data_array* cur_p) {
+    auto* ctx = (llama_sampler_grammar*)smpl->ctx;
+    if (ctx->grammar) {
+        llama_grammar_sample_impl(ctx->grammar, ctx->vocab, nullptr, cur_p);
+    }
+}
+
+void llama_sampler_reset(struct llama_sampler* smpl) {
+    if (smpl->iface->reset) {
+        smpl->iface->reset(smpl);
+    }
+}
+
+// Fwd declare to break reset --> init_impl --> llama_sampler_grammar_i --> reset cycle.
+static struct llama_grammar* llama_sampler_init_grammar_impl(
+    const struct llama_vocab* vocab,
+    const char* grammar_str,
+    const char* grammar_root,
+    bool lazy,
+    const char** trigger_words,
+    size_t num_trigger_words,
+    const llama_token* trigger_tokens,
+    size_t num_trigger_tokens,
+    const char** trigger_patterns,
+    size_t num_trigger_patterns);
+
+static void llama_sampler_grammar_reset(struct llama_sampler* smpl) {
+    auto* ctx = (llama_sampler_grammar*)smpl->ctx;
+    if (!ctx->grammar) {
+        return;
+    }
+
+    std::vector<const char*>  trigger_patterns_c;
+    trigger_patterns_c.reserve(ctx->grammar->trigger_patterns.size());
+    for (auto& trigger_pattern : ctx->grammar->trigger_patterns) {
+        trigger_patterns_c.push_back(trigger_pattern.pattern.c_str());
+    }
+    auto* grammar_new = llama_grammar_init_impl(ctx->grammar->vocab, ctx->grammar_str.c_str(), ctx->grammar_root.c_str(),
+        ctx->grammar->lazy, trigger_patterns_c.data(), trigger_patterns_c.size(),
+        ctx->grammar->trigger_tokens.data(), ctx->grammar->trigger_tokens.size());
+
+    llama_grammar_free_impl(ctx->grammar);
+    ctx->grammar = grammar_new;
+}
+
+//static struct llama_sampler* llama_sampler_grammar_clone(const struct llama_sampler* smpl) {
+//    const auto* ctx = (const llama_sampler_grammar*)smpl->ctx;
+//
+//    auto* result = llama_sampler_init_grammar_impl(ctx->vocab, nullptr, nullptr, false, nullptr, 0, nullptr, 0);
+//
+//    // copy the state
+//    {
+//        auto* result_ctx = (llama_sampler_grammar*)result->ctx;
+//
+//        if (ctx->grammar) {
+//            result_ctx->grammar_str = ctx->grammar_str;
+//            result_ctx->grammar_root = ctx->grammar_root;
+//
+//            result_ctx->grammar = llama_grammar_copy_impl(ctx->grammar);
+//        }
+//    }
+//
+//    return result;
+//}
+
+static void llama_sampler_grammar_free(struct llama_sampler* smpl) {
+    const auto* ctx = (llama_sampler_grammar*)smpl->ctx;
+
+    if (ctx->grammar) {
+        llama_grammar_free_impl(ctx->grammar);
+    }
+
+    delete ctx;
+}
+
+static struct llama_sampler_i llama_sampler_grammar_i = {
+    /* .name   = */ llama_sampler_grammar_name,
+    /* .accept = */ llama_sampler_grammar_accept_impl,
+    /* .apply  = */ llama_sampler_grammar_apply,
+    /* .reset  = */ llama_sampler_grammar_reset,
+    /* .clone  = */ NULL,
+    /* .free   = */ llama_sampler_grammar_free,
+};
+
+struct llama_grammar* llama_sampler_init_grammar_impl(
+    const struct llama_vocab* vocab,
+    const char* grammar_str,
+    const char* grammar_root,
+    bool lazy,
+    const char** trigger_words,
+    size_t num_trigger_words,
+    const llama_token* trigger_tokens,
+    size_t num_trigger_tokens,
+    const char** trigger_patterns,
+    size_t num_trigger_patterns) {
+    auto* ctx = new llama_sampler_grammar;
+    struct llama_grammar* grammar;
+    if (grammar_str != nullptr && grammar_str[0] != '\0') {
+        // TODO: remove trigger_words support.
+        if (trigger_words != nullptr && num_trigger_words > 0) {
+            GGML_ASSERT(trigger_patterns == nullptr && num_trigger_patterns == 0);
+            std::string trigger_pattern("[\\s\\S]*?(");
+            for (size_t i = 0; i < num_trigger_words; ++i) {
+                static const std::regex special_chars("[.^$|()*+?\\[\\]{}\\\\]");
+                if (i > 0) {
+                    trigger_pattern += "|";
+                }
+                trigger_pattern += std::regex_replace(trigger_words[i], special_chars, "\\$0");
+            }
+            trigger_pattern += ")[\\s\\S]*";
+            auto trigger_pattern_c = trigger_pattern.c_str();
+            trigger_patterns = &trigger_pattern_c;
+            num_trigger_patterns = 1;
+        }
+        grammar = llama_grammar_init_impl(vocab, grammar_str, grammar_root, lazy, trigger_patterns, num_trigger_patterns, trigger_tokens, num_trigger_tokens);
+    }
+    else {
+        grammar = nullptr;
+    }
+    return grammar;
+}
+
+struct llama_grammar* llama_sampler_init_grammar(
+    const struct llama_vocab* vocab,
+    const char* grammar_str,
+    const char* grammar_root) {
+    return llama_sampler_init_grammar_impl(vocab, grammar_str, grammar_root, /* lazy= */ false, nullptr, 0, nullptr, 0, nullptr, 0);
+}
+
+struct llama_grammar* llama_sampler_init_grammar_lazy(
+    const struct llama_vocab* vocab,
+    const char* grammar_str,
+    const char* grammar_root,
+    const char** trigger_words,
+    size_t num_trigger_words,
+    const llama_token* trigger_tokens,
+    size_t num_trigger_tokens) {
+    return llama_sampler_init_grammar_impl(vocab, grammar_str, grammar_root, /* lazy= */ true, trigger_words, num_trigger_words, trigger_tokens, num_trigger_tokens, nullptr, 0);
+}
+
+struct llama_grammar* llama_sampler_init_grammar_lazy_patterns(
+    const struct llama_vocab* vocab,
+    const char* grammar_str,
+    const char* grammar_root,
+    const char** trigger_patterns,
+    size_t num_trigger_patterns,
+    const llama_token* trigger_tokens,
+    size_t num_trigger_tokens) {
+    return llama_sampler_init_grammar_impl(vocab, grammar_str, grammar_root, /* lazy= */ true, nullptr, 0, trigger_tokens, num_trigger_tokens, trigger_patterns, num_trigger_patterns);
+}
diff --git a/src/llama-vocab.h b/src/llama-vocab.h
index 6a37b0c18..73c34e149 100644
--- a/src/llama-vocab.h
+++ b/src/llama-vocab.h
@@ -176,3 +176,6 @@ struct llama_vocab {
 };
 
 const struct llama_vocab * llama_get_vocab(const struct llama_context * ctx);
+bool llama_token_is_eog(const struct llama_vocab* vocab, llama_token token);
+llama_token llama_token_bos(const struct llama_vocab* vocab);
+llama_token llama_token_eos(const struct llama_vocab* vocab);
diff --git a/src/llama.cpp b/src/llama.cpp
index f74345a52..671dcb0c3 100644
--- a/src/llama.cpp
+++ b/src/llama.cpp
@@ -22022,6 +22022,23 @@ struct llama_grammar * llama_grammar_init(
 void llama_grammar_free(struct llama_grammar * grammar) {
     llama_grammar_free_impl(grammar);
 }
+//
+//void llama_grammar_init_lazy(struct llama_sampler* smpl) {
+//
+//    if (!grammar) {
+//        return;
+//    }
+//    std::vector<const char*>  trigger_patterns_c;
+//    trigger_patterns_c.reserve(grammar.grammar->trigger_patterns.size());
+//    for (auto& trigger_pattern : grammar.grammar->trigger_patterns) {
+//        trigger_patterns_c.push_back(trigger_pattern.pattern.c_str());
+//    }
+//    //auto* grammar_new = llama_grammar_init_impl(grammar->vocab, "", "root",
+//    //    grammar->lazy, trigger_patterns_c.data(), trigger_patterns_c.size(),
+//    //    grammar->trigger_tokens.data(), grammar->trigger_tokens.size());
+//
+//}
+
 
 struct llama_grammar * llama_grammar_copy(const struct llama_grammar * grammar) {
     return llama_grammar_copy_impl(grammar);
@@ -22149,6 +22166,7 @@ int llama_split_path(char * split_path, size_t maxlen, const char * path_prefix,
     return 0;
 }
 
+
 struct llama_sampler_dry * llama_sampler_init_dry(const struct llama_vocab* vocab, float dry_multiplier, float dry_base, int32_t dry_allowed_length, int32_t dry_penalty_last_n, const char** seq_breakers, size_t num_breakers) {
     return llama_sampler_init_dry_impl(*vocab, vocab->n_tokens(), dry_multiplier, dry_base, dry_allowed_length, dry_penalty_last_n, seq_breakers, num_breakers);
 }
diff --git a/tests/CMakeLists.txt b/tests/CMakeLists.txt
index f5313e2b3..60a25177e 100644
--- a/tests/CMakeLists.txt
+++ b/tests/CMakeLists.txt
@@ -84,56 +84,60 @@ llama_test(test-tokenizer-0 NAME test-tokenizer-0-qwen2             ARGS ${CMAKE
 llama_test(test-tokenizer-0 NAME test-tokenizer-0-refact            ARGS ${CMAKE_CURRENT_SOURCE_DIR}/../models/ggml-vocab-refact.gguf)
 llama_test(test-tokenizer-0 NAME test-tokenizer-0-starcoder         ARGS ${CMAKE_CURRENT_SOURCE_DIR}/../models/ggml-vocab-starcoder.gguf)
 
-# build test-tokenizer-1-bpe target once and add many tests
-add_executable(test-tokenizer-1-bpe test-tokenizer-1-bpe.cpp)
-target_link_libraries(test-tokenizer-1-bpe PRIVATE common)
-install(TARGETS test-tokenizer-1-bpe RUNTIME)
-
-# TODO: disabled due to slowness
-#llama_test(test-tokenizer-1-bpe NAME test-tokenizer-1-aquila    ARGS ${CMAKE_CURRENT_SOURCE_DIR}/../models/ggml-vocab-aquila.gguf)
-#llama_test(test-tokenizer-1-bpe NAME test-tokenizer-1-falcon    ARGS ${CMAKE_CURRENT_SOURCE_DIR}/../models/ggml-vocab-falcon.gguf)
-#llama_test(test-tokenizer-1-bpe NAME test-tokenizer-1-gpt-2     ARGS ${CMAKE_CURRENT_SOURCE_DIR}/../models/ggml-vocab-gpt-2.gguf)
-#llama_test(test-tokenizer-1-bpe NAME test-tokenizer-1-gpt-neox  ARGS ${CMAKE_CURRENT_SOURCE_DIR}/../models/ggml-vocab-gpt-neox.gguf)
-#llama_test(test-tokenizer-1-bpe NAME test-tokenizer-1-llama-bpe ARGS ${CMAKE_CURRENT_SOURCE_DIR}/../models/ggml-vocab-llama-bpe.gguf --ignore-merges)
-#llama_test(test-tokenizer-1-bpe NAME test-tokenizer-1-mpt       ARGS ${CMAKE_CURRENT_SOURCE_DIR}/../models/ggml-vocab-mpt.gguf)
-#llama_test(test-tokenizer-1-bpe NAME test-tokenizer-1-refact    ARGS ${CMAKE_CURRENT_SOURCE_DIR}/../models/ggml-vocab-refact.gguf)
-#llama_test(test-tokenizer-1-bpe NAME test-tokenizer-1-starcoder ARGS ${CMAKE_CURRENT_SOURCE_DIR}/../models/ggml-vocab-starcoder.gguf)
-
-# build test-tokenizer-1-spm target once and add many tests
-add_executable(test-tokenizer-1-spm test-tokenizer-1-spm.cpp)
-target_link_libraries(test-tokenizer-1-spm PRIVATE common)
-install(TARGETS test-tokenizer-1-spm RUNTIME)
-
-llama_test(test-tokenizer-1-spm  NAME test-tokenizer-1-llama-spm ARGS ${CMAKE_CURRENT_SOURCE_DIR}/../models/ggml-vocab-llama-spm.gguf)
-#llama_test(test-tokenizer-1-spm  NAME test-tokenizer-1-baichuan  ARGS ${CMAKE_CURRENT_SOURCE_DIR}/../models/ggml-vocab-baichuan.gguf)
-
-# llama_target_and_test(test-double-float.cpp) # SLOW
-llama_target_and_test(test-quantize-fns.cpp)
-llama_target_and_test(test-quantize-perf.cpp)
-llama_target_and_test(test-sampling.cpp)
+if (LLAMA_LLGUIDANCE)
+    llama_target_and_test(test-grammar-llguidance.cpp ARGS ${CMAKE_CURRENT_SOURCE_DIR}/../models/ggml-vocab-llama-bpe.gguf)
+endif ()
+
+if (NOT WIN32)
+    # these tests are disabled on Windows because they use internal functions not exported with LLAMA_API
+    llama_target_and_test(test-sampling.cpp)
+    llama_target_and_test(test-grammar-parser.cpp)
+    llama_target_and_test(test-grammar-integration.cpp)
+    llama_target_and_test(test-llama-grammar.cpp)
+    llama_target_and_test(test-chat.cpp)
+    # TODO: disabled on loongarch64 because the ggml-ci node lacks Python 3.8
+    if (NOT ${CMAKE_SYSTEM_PROCESSOR} MATCHES "loongarch64")
+        llama_target_and_test(test-json-schema-to-grammar.cpp   WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}/..)
+        target_include_directories(test-json-schema-to-grammar PRIVATE ${CMAKE_CURRENT_SOURCE_DIR}/../examples/server)
+    endif()
+
+
+    # build test-tokenizer-1-bpe target once and add many tests
+    add_executable(test-tokenizer-1-bpe test-tokenizer-1-bpe.cpp)
+    target_link_libraries(test-tokenizer-1-bpe PRIVATE common)
+    install(TARGETS test-tokenizer-1-bpe RUNTIME)
+
+    # TODO: disabled due to slowness
+    #llama_test(test-tokenizer-1-bpe NAME test-tokenizer-1-aquila    ARGS ${CMAKE_CURRENT_SOURCE_DIR}/../models/ggml-vocab-aquila.gguf)
+    #llama_test(test-tokenizer-1-bpe NAME test-tokenizer-1-falcon    ARGS ${CMAKE_CURRENT_SOURCE_DIR}/../models/ggml-vocab-falcon.gguf)
+    #llama_test(test-tokenizer-1-bpe NAME test-tokenizer-1-gpt-2     ARGS ${CMAKE_CURRENT_SOURCE_DIR}/../models/ggml-vocab-gpt-2.gguf)
+    #llama_test(test-tokenizer-1-bpe NAME test-tokenizer-1-gpt-neox  ARGS ${CMAKE_CURRENT_SOURCE_DIR}/../models/ggml-vocab-gpt-neox.gguf)
+    #llama_test(test-tokenizer-1-bpe NAME test-tokenizer-1-llama-bpe ARGS ${CMAKE_CURRENT_SOURCE_DIR}/../models/ggml-vocab-llama-bpe.gguf --ignore-merges)
+    #llama_test(test-tokenizer-1-bpe NAME test-tokenizer-1-mpt       ARGS ${CMAKE_CURRENT_SOURCE_DIR}/../models/ggml-vocab-mpt.gguf)
+    #llama_test(test-tokenizer-1-bpe NAME test-tokenizer-1-refact    ARGS ${CMAKE_CURRENT_SOURCE_DIR}/../models/ggml-vocab-refact.gguf)
+    #llama_test(test-tokenizer-1-bpe NAME test-tokenizer-1-starcoder ARGS ${CMAKE_CURRENT_SOURCE_DIR}/../models/ggml-vocab-starcoder.gguf)
+
+    # build test-tokenizer-1-spm target once and add many tests
+    add_executable(test-tokenizer-1-spm test-tokenizer-1-spm.cpp)
+    target_link_libraries(test-tokenizer-1-spm PRIVATE common)
+    install(TARGETS test-tokenizer-1-spm RUNTIME)
+
+    llama_test(test-tokenizer-1-spm  NAME test-tokenizer-1-llama-spm ARGS ${CMAKE_CURRENT_SOURCE_DIR}/../models/ggml-vocab-llama-spm.gguf)
+    #llama_test(test-tokenizer-1-spm  NAME test-tokenizer-1-baichuan  ARGS ${CMAKE_CURRENT_SOURCE_DIR}/../models/ggml-vocab-baichuan.gguf)
+
+    # llama_target_and_test(test-double-float.cpp) # SLOW
+endif()
+
+llama_target_and_test(test-chat-parser.cpp)
 llama_target_and_test(test-chat-template.cpp)
+llama_target_and_test(test-json-partial.cpp)
+llama_target_and_test(test-regex-partial.cpp)
 
-llama_target_and_test(test-grammar-parser.cpp)
-llama_target_and_test(test-llama-grammar.cpp)
-llama_target_and_test(test-grammar-integration.cpp)
-llama_target_and_test(test-grad0.cpp)
 # llama_target_and_test(test-opt.cpp) # SLOW
-llama_target_and_test(test-backend-ops.cpp)
-
-llama_target_and_test(test-rope.cpp)
 
 llama_target_and_test(test-model-load-cancel.cpp  LABEL "model")
 llama_target_and_test(test-autorelease.cpp        LABEL "model")
 
-# TODO: disabled on loongarch64 because the ggml-ci node lacks Python 3.8
-if (NOT ${CMAKE_SYSTEM_PROCESSOR} MATCHES "loongarch64")
-    llama_target_and_test(test-json-schema-to-grammar.cpp   WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}/..)
-    target_include_directories(test-json-schema-to-grammar PRIVATE ${CMAKE_CURRENT_SOURCE_DIR}/../examples/server)
-endif()
-
-# Function calling parser tests
-llama_target_and_test(test-function-calls.cpp)
-target_include_directories(test-function-calls PRIVATE ${CMAKE_CURRENT_SOURCE_DIR}/../examples/server)
 
 # dummy executable - not installed
 get_filename_component(TEST_TARGET test-c.c NAME_WE)
diff --git a/tests/test-chat-parser.cpp b/tests/test-chat-parser.cpp
new file mode 100644
index 000000000..2113a1284
--- /dev/null
+++ b/tests/test-chat-parser.cpp
@@ -0,0 +1,355 @@
+//  Tests chat handling, including grammar generation and parsing for tool calling, for various templates.
+//
+//  Also acts as a CLI to generate a Markdown summary of the formats of Jinja templates,
+//  e.g. given Minja (http://github.com/google/minja) checked out in parent dir:
+//
+//    cmake -B build && cmake --build build --parallel && ./build/bin/test-chat ../minja/build/tests/*.jinja 2>/dev/null
+//
+#include <exception>
+#include <iostream>
+#include <json.hpp>
+#include <string>
+
+#include "chat-parser.h"
+#include "common.h"
+#include "log.h"
+#include "regex-partial.h"
+
+using json = nlohmann::ordered_json;
+
+template <class T>
+static void assert_equals(const T & expected, const T & actual) {
+    if (expected != actual) {
+        std::cerr << "Expected: " << expected << std::endl;
+        std::cerr << "Actual: " << actual << std::endl;
+        std::cerr << std::flush;
+        throw std::runtime_error("Test failed");
+    }
+}
+static void assert_equals(const char * expected, const std::string & actual) {
+  return assert_equals<std::string>(expected, actual);
+}
+
+static void assert_throws(const std::function<void()> & fn, const std::string & expected_exception_pattern = "") {
+    try {
+        fn();
+    } catch (const std::exception & e) {
+      if (expected_exception_pattern.empty()) {
+          return;
+        }
+        std::regex expected_exception_regex(expected_exception_pattern);
+        std::string actual_message = e.what();
+        if (std::regex_search(actual_message, expected_exception_regex)) {
+            return;
+        }
+        throw std::runtime_error("Exception doesn't match expected pattern: " + actual_message + " (pattern: " + expected_exception_pattern + ")");
+        throw std::runtime_error("Exception of unexpected type: " + std::string(e.what()));
+    }
+    throw std::runtime_error("Exception was expected but not thrown");
+}
+
+static void test_reasoning() {
+  {
+    common_chat_msg_parser builder("<tnk>Cogito</tnk>Ergo sum", /* is_partial= */ false, {
+        /* .format = */ COMMON_CHAT_FORMAT_CONTENT_ONLY,
+        /* .reasoning_format = */ COMMON_REASONING_FORMAT_NONE,
+        /* .reasoning_in_content = */ false,
+        /* .thinking_forced_open = */ false,
+    });
+    assert_equals(false, builder.try_parse_reasoning("<tnk>", "</tnk>"));
+    assert_equals("<tnk>Cogito</tnk>Ergo sum", builder.consume_rest());
+  }
+  {
+    common_chat_msg_parser builder("<tnk>Cogito</tnk>Ergo sum", /* is_partial= */ false, {
+        /* .format = */ COMMON_CHAT_FORMAT_CONTENT_ONLY,
+        /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
+        /* .reasoning_in_content = */ false,
+        /* .thinking_forced_open = */ false,
+    });
+    assert_equals(true, builder.try_parse_reasoning("<tnk>", "</tnk>"));
+    assert_equals(std::string("Cogito"), builder.result().reasoning_content);
+    assert_equals("Ergo sum", builder.consume_rest());
+  }
+  {
+    common_chat_msg_parser builder("Cogito</tnk>Ergo sum", /* is_partial= */ false, {
+        /* .format = */ COMMON_CHAT_FORMAT_CONTENT_ONLY,
+        /* .reasoning_format = */ COMMON_REASONING_FORMAT_NONE,
+        /* .reasoning_in_content = */ false,
+        /* .thinking_forced_open = */ false,
+    });
+    assert_equals(false, builder.try_parse_reasoning("<tnk>", "</tnk>"));
+    assert_equals("Cogito</tnk>Ergo sum", builder.consume_rest());
+  }
+  {
+    common_chat_msg_parser builder("Cogito</tnk>Ergo sum", /* is_partial= */ false, {
+        /* .format = */ COMMON_CHAT_FORMAT_CONTENT_ONLY,
+        /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
+        /* .reasoning_in_content = */ false,
+        /* .thinking_forced_open = */ true,
+    });
+    assert_equals(true, builder.try_parse_reasoning("<tnk>", "</tnk>"));
+    assert_equals(std::string("Cogito"), builder.result().reasoning_content);
+    assert_equals("Ergo sum", builder.consume_rest());
+  }
+  {
+    common_chat_msg_parser builder("Cogito</tnk>Ergo sum", /* is_partial= */ false, {
+        /* .format = */ COMMON_CHAT_FORMAT_CONTENT_ONLY,
+        /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
+        /* .reasoning_in_content = */ true,
+        /* .thinking_forced_open = */ true,
+    });
+    assert_equals(true, builder.try_parse_reasoning("<tnk>", "</tnk>"));
+    assert_equals("<think>Cogito</think>", builder.result().content);
+    assert_equals("Ergo sum", builder.consume_rest());
+  }
+}
+
+static void test_regex() {
+  auto test_throws = [](const std::string & input, const std::string & regex, const std::string & expected_exception_pattern = "") {
+    common_chat_msg_parser builder(input, /* is_partial= */ false, {});
+    assert_throws([&]() { builder.consume_regex(common_regex(regex)); }, expected_exception_pattern);
+  };
+
+  test_throws("Hello, world!", "abc", "^abc$");
+  test_throws("Hello, world!", "e", "^e$");
+
+  {
+    common_chat_msg_parser builder("Hello, world!", /* is_partial= */ false, {});
+    builder.consume_regex(common_regex("Hello"));
+    assert_equals(", world!", builder.consume_rest());
+  }
+
+  {
+    // When in non partial mode, we can say whether the regex was consumed or not.
+    common_chat_msg_parser builder("Hello,", /* is_partial= */ false, {});
+    assert_equals(false, builder.try_consume_regex(common_regex("Hello, world!")).has_value());
+  }
+  {
+    common_chat_msg_parser builder("Hello,", /* is_partial= */ false, {});
+    auto res = builder.try_consume_regex(common_regex("H(el)l(?:o, world!)?"));
+    assert_equals(true, res.has_value());
+    // Verify captures
+    assert_equals<size_t>(2, res->groups.size());
+    assert_equals("Hell", builder.str(res->groups[0]));
+    assert_equals("el", builder.str(res->groups[1]));
+    // Verify position is after the match
+    assert_equals<size_t>(4, builder.pos());
+    assert_equals("o,", builder.consume_rest());
+  }
+  {
+    // But in partial mode, we have a partial final match / can't decide, so we throw a partial exception.
+    common_chat_msg_parser builder("Hello,", /* is_partial= */ true, {});
+    assert_throws([&]() {
+      builder.try_consume_regex(common_regex("Hello, world!"));
+    }, "^Hello, world!$");
+  }
+
+  // Now regardless of the mode, we can tell these aren't a match.
+  for (const auto is_partial : {false, true}) {
+    common_chat_msg_parser builder("Hello,", is_partial, {});
+    assert_equals(false, builder.try_consume_regex(common_regex("a(b|c)(d|e)f")).has_value());
+  }
+  for (const auto is_partial : {false, true}) {
+    common_chat_msg_parser builder("Hello,", is_partial, {});
+    assert_equals(false, builder.try_consume_literal("Oh"));
+  }
+}
+
+const std::vector<std::string> barely_healable_jsons = {
+  "{",
+  "{\"",
+  "{\"\\",
+  "{\"n",
+  "{\"name\"",
+  "{\"name\":",
+  "{\"name\":\"",
+  "{\"name\":\"\\",
+  "{\"name\":\"python",
+  "{\"name\":\"python\\",
+  "{\",",
+  "{\":",
+  "{\"[",
+  "{\"]",
+  "{\"{",
+  "{\"}",
+  "{\"1",
+  "{\"name\":\",",
+  "{\"name\":\":",
+  "{\"name\":\"[",
+  "{\"name\":\"]",
+  "{\"name\":\"{",
+  "{\"name\":\"}",
+  "{\"name\":\"1",
+};
+
+static void test(const std::string & input, bool is_partial, const std::vector<std::vector<std::string>> & args_paths, const std::vector<std::vector<std::string>> & content_paths, const std::string & expected) {
+  common_chat_msg_parser builder(input, is_partial, {});
+  auto js = builder.try_consume_json_with_dumped_args(args_paths, content_paths);
+  assert_equals(true, js.has_value());
+  assert_equals(is_partial, js->is_partial);
+  assert_equals(expected, args_paths.size() == 1 && args_paths[0].empty() ? js->value.get<std::string>() : js->value.dump());
+}
+static void test_with_args(const std::string & input, const std::string & expected, bool parse_as_partial = true, bool is_partial = true) {
+  common_chat_msg_parser builder(input, parse_as_partial, {});
+  auto js = builder.try_consume_json_with_dumped_args({{"args"}}, {});
+  assert_equals(true, js.has_value());
+  assert_equals(is_partial, js->is_partial);
+  assert_equals(expected, js->value.dump());
+}
+
+static void test_json_with_dumped_args_no_args() {
+  // Normal JSON, nothing to heal, nothing to dump
+  test("{\"name\": \"python\"}", false, {}, {}, "{\"name\":\"python\"}");
+  // Full json is args
+  test("{\"name\": \"python\"}", false, {{}}, {}, "{\"name\":\"python\"}");
+
+  // If the arguments are further down, don't heal partial content.
+  for (const auto & src : barely_healable_jsons) {
+    test(src, true, {{"arguments"}}, {}, "{}");
+  }
+  // But heal content that isn't partial.
+  test("{\"name\": \"python\"", true, {{"arguments"}}, {}, "{\"name\":\"python\"}");
+}
+
+static void test_json_with_dumped_args() {
+
+  // Partial content.
+  test("{\"content\": \"t", true, {}, {{"content"}}, "{\"content\":\"t\"}");
+  test("{\"content\": \"", true, {}, {{"content"}}, "{\"content\":\"\"}");
+  test("{\"content\": ", true, {}, {{"content"}}, "{}");
+
+  // If the entire JSON is the arguments, healing it them dumping it produces the same output as the input (just reformatted).
+  test("{\"name\": \"python", true, {{}}, {}, "{\"name\":\"python");
+  for (const auto & src : barely_healable_jsons) {
+    test(src, true, {{}}, {}, src);
+  }
+
+  // Full JSON w/ args
+  for (auto parse_as_partial : {true, false}) {
+    test_with_args(
+      R"({"name": "python", "args": {"arg1": 1}})",
+      R"({"name":"python","args":"{\"arg1\":1}"})",
+      parse_as_partial,
+      /* is_partial= */ false
+    );
+  }
+
+  // Partial JSON w/ partial args
+  test_with_args(
+    R"({"foo": "bar", "args": {")",
+    R"({"foo":"bar","args":"{\""})"
+  );
+  // Partial args broken in object key
+  test_with_args(
+    R"({"foo": "bar", "args": {"ar)",
+    R"({"foo":"bar","args":"{\"ar"})"
+  );
+  // Partial args broken after object key
+  test_with_args(
+    R"({"foo": "bar", "args": {"arg1")",
+    R"({"foo":"bar","args":"{\"arg1\""})"
+  );
+  // Partial args broken before object value
+  test_with_args(
+    R"({"foo": "bar", "args": {"arg1":)",
+    R"({"foo":"bar","args":"{\"arg1\":"})"
+  );
+  // Partial args broken before object value (space)
+  test_with_args(
+    R"({"foo": "bar", "args": {"arg1": )",
+    R"({"foo":"bar","args":"{\"arg1\":"})"
+  );
+  // Partial args broken in object value that may not be complete (int)
+  test_with_args(
+    R"({"foo": "bar", "args": {"arg1": 1)",
+    R"({"foo":"bar","args":"{\"arg1\":"})"
+  );
+  // Partial args broken in object value that is complete (int)
+  test_with_args(
+    R"({"foo": "bar", "args": {"arg1": 1 )",
+    R"({"foo":"bar","args":"{\"arg1\":1"})"
+  );
+  // Partial args broken in object value that is incomplete (string)
+  test_with_args(
+    R"({"foo": "bar", "args": {"arg1": ")",
+    R"({"foo":"bar","args":"{\"arg1\":\""})"
+  );
+  // Partial args broken in object value that is complete (string)
+  test_with_args(
+    R"({"foo": "bar", "args": {"arg1": "1")",
+    R"({"foo":"bar","args":"{\"arg1\":\"1\""})"
+  );
+  // Partial args broken on array opening
+  test_with_args(
+    R"({"foo": "bar", "args": [)",
+    R"({"foo":"bar","args":"["})"
+  );
+  // Partial args broken on array value that is incomplete (int)
+  test_with_args(
+    R"({"foo": "bar", "args": [1)",
+    R"({"foo":"bar","args":"["})"
+  );
+  // Partial args broken on array value that is complete (int)
+  test_with_args(
+    R"({"foo": "bar", "args": [1 )",
+    R"({"foo":"bar","args":"[1"})"
+  );
+  // Partial args broken on array value that is complete (string)
+  test_with_args(
+    R"({"foo": "bar", "args": ["1")",
+    R"({"foo":"bar","args":"[\"1\""})"
+  );
+  // Partial args broken after array value
+  test_with_args(
+    R"({"foo": "bar", "args": [1,)",
+    R"({"foo":"bar","args":"[1,"})"
+  );
+  // Partial args broken on nested array
+  test_with_args(
+    R"({"foo": "bar", "args": {"arg1": [)",
+    R"({"foo":"bar","args":"{\"arg1\":["})"
+  );
+}
+
+static void test_positions() {
+  {
+    common_chat_msg_parser builder("Hello, world!", /* is_partial= */ false, {});
+    assert_equals<size_t>(0, builder.pos());
+    assert_throws([&]() { builder.move_to(100); });
+    assert_equals<size_t>(0, builder.pos());
+    assert_throws([&]() { builder.move_back(1); });
+    assert_equals<size_t>(0, builder.pos());
+
+    builder.move_to(8);
+    assert_equals<size_t>(8, builder.pos());
+    builder.move_back(1);
+    assert_equals<size_t>(7, builder.pos());
+    assert_equals("world!", builder.consume_rest());
+
+    builder.move_to(0);
+    assert_equals<size_t>(0, builder.pos());
+
+    assert_throws([&]() { builder.finish(); });
+    assert_equals<size_t>(0, builder.pos());
+
+    builder.move_to(builder.input().size());
+    builder.finish();
+  }
+  {
+    common_chat_msg_parser builder("Hello, world!", /* is_partial= */ true, {});
+
+    builder.move_to(builder.input().size());
+    assert_equals<size_t>(builder.input().size(), builder.pos());
+    builder.finish();
+  }
+}
+
+int main() {
+    test_positions();
+    test_json_with_dumped_args_no_args();
+    test_json_with_dumped_args();
+    test_reasoning();
+    test_regex();
+    std::cout << "All tests passed!\n";
+    return 0;
+}
diff --git a/tests/test-chat-template.cpp b/tests/test-chat-template.cpp
index c7165311f..58e932dbc 100644
--- a/tests/test-chat-template.cpp
+++ b/tests/test-chat-template.cpp
@@ -7,7 +7,9 @@
 
 #include "llama.h"
 #include "common.h"
-#include "chat-template.hpp"
+#include "minja/chat-template.hpp"
+#include "minja/minja.hpp"
+#include "chat.h"
 
 static std::string normalize_newlines(const std::string& s) {
 #ifdef _WIN32
@@ -150,12 +152,12 @@ int main(void) {
 
     // test llama_chat_format_single for system message
     printf("\n\n=== llama_chat_format_single (system message) ===\n\n");
-    std::vector<llama_chat_msg> chat2;
-    llama_chat_msg sys_msg{"system", "You are a helpful assistant"};
+    std::vector<common_chat_msg> chat2;
+    common_chat_msg sys_msg{"system", "You are a helpful assistant"};
 
     auto fmt_sys = [&](std::string tmpl_str) {
-        minja::chat_template tmpl(tmpl_str, "", "");
-        auto output = llama_chat_format_single(nullptr, tmpl, chat2, sys_msg, false, /* use_jinja= */ false);
+        auto tmpls = common_chat_templates_init(/* model= */ nullptr, tmpl_str);
+        auto output = common_chat_format_single(tmpls.get(), chat2, sys_msg, false, /* use_jinja= */ false);
         printf("fmt_sys(%s) : %s\n", tmpl_str.c_str(), output.c_str());
         return output;
     };
@@ -170,11 +172,11 @@ int main(void) {
     chat2.push_back({"system", "You are a helpful assistant"});
     chat2.push_back({"user", "Hello"});
     chat2.push_back({"assistant", "I am assistant"});
-    llama_chat_msg new_msg{"user", "How are you"};
+    common_chat_msg new_msg{"user", "How are you"};
 
     auto fmt_single = [&](std::string tmpl_str) {
-        minja::chat_template tmpl(tmpl_str, "", "");
-        auto output = llama_chat_format_single(nullptr, tmpl, chat2, new_msg, true, /* use_jinja= */ false);
+        auto tmpls = common_chat_templates_init(/* model= */ nullptr, tmpl_str);
+        auto output = common_chat_format_single(tmpls.get(), chat2, new_msg, true, /* use_jinja= */ false);
         printf("fmt_single(%s) : %s\n", tmpl_str.c_str(), output.c_str());
         printf("-------------------------\n");
         return output;
diff --git a/tests/test-chat.cpp b/tests/test-chat.cpp
new file mode 100644
index 000000000..cfd72c818
--- /dev/null
+++ b/tests/test-chat.cpp
@@ -0,0 +1,1707 @@
+//  Tests chat handling, including grammar generation and parsing for tool calling, for various templates.
+//
+//  Also acts as a CLI to generate a Markdown summary of the formats of Jinja templates,
+//  e.g. given Minja (http://github.com/google/minja) checked out in parent dir:
+//
+//    cmake -B build && cmake --build build --parallel && ./build/bin/test-chat ../minja/build/tests/*.jinja 2>/dev/null
+//
+#include <fstream>
+#include <iostream>
+#include <json.hpp>
+#include <string>
+
+#include "chat.h"
+#include "llama-grammar.h"
+#include "unicode.h"
+
+using json = nlohmann::ordered_json;
+
+static std::ostream & operator<<(std::ostream & os, const common_chat_msg_diff & diff) {
+    os << "{ content_delta: " << diff.content_delta << "; ";
+    os << "reasoning_content_delta: " << diff.reasoning_content_delta << "; ";
+    if (diff.tool_call_index != std::string::npos) {
+        os << "tool_call_index: " << diff.tool_call_index << "; ";
+        os << "tool_call_delta.name: " << diff.tool_call_delta.name << "; ";
+        os << "tool_call_delta.id: " << diff.tool_call_delta.id << "; ";
+        os << "tool_call_delta.arguments: " << diff.tool_call_delta.arguments << "; ";
+    }
+    os << "}";
+    return os;
+}
+// operator<< for vector<common_chat_msg_diff>:
+static std::ostream & operator<<(std::ostream & os, const std::vector<common_chat_msg_diff> & diffs) {
+    os << "[\n";
+    for (const auto & diff : diffs) {
+        os << "  " << diff << ",\n";
+    }
+    os << "]";
+    return os;
+}
+static std::ostream & operator<<(std::ostream & os, const common_chat_msg & msg) {
+    os << "{ role: " << msg.role << "; ";
+    os << "content: " << msg.content << "; ";
+    os << "content_parts: [\n";
+    for (const auto & part : msg.content_parts) {
+        os << "  { type: " << part.type << "; text: " << part.text << " },\n";
+    }
+    os << "]; ";
+    os << "reasoning_content: " << msg.reasoning_content << "; ";
+    os << "tool_calls: [\n";
+    for (const auto & tool_call : msg.tool_calls) {
+        os << "  { name: " << tool_call.name << "; arguments: " << tool_call.arguments << "; id: " << tool_call.id << " },\n";
+    }
+    os << "]";
+    os << "}";
+    return os;
+}
+
+template <class T> static bool equals(const T & expected, const T & actual) {
+    return expected == actual;
+}
+
+static common_chat_msg normalize(const common_chat_msg & msg) {
+    common_chat_msg normalized = msg;
+    for (auto & tool_call : normalized.tool_calls) {
+        try {
+            tool_call.arguments = json::parse(tool_call.arguments).dump();
+        } catch (const std::exception &) {
+            // Do nothing
+        }
+    }
+    return normalized;
+}
+template <>
+bool equals(const common_chat_msg & expected, const common_chat_msg & actual) {
+    return normalize(expected) == normalize(actual);
+}
+
+template <class T> static void assert_equals(const T & expected, const T & actual) {
+    if (!equals(expected, actual)) {
+        std::cerr << "Expected: " << expected << std::endl;
+        std::cerr << "Actual: " << actual << std::endl;
+        std::cerr << std::flush;
+        throw std::runtime_error("Test failed");
+    }
+}
+
+static std::string read_file(const std::string & path) {
+    std::cerr << "# Reading: " << path << '\n' << std::flush;
+    std::ifstream fs(path, std::ios_base::binary);
+    if (!fs.is_open()) {
+        fs = std::ifstream("../" + path, std::ios_base::binary);
+        if (!fs.is_open()) {
+            throw std::runtime_error("Failed to open file: " + path);
+        }
+    }
+    fs.seekg(0, std::ios_base::end);
+    auto size = fs.tellg();
+    fs.seekg(0);
+    std::string out;
+    out.resize(static_cast<size_t>(size));
+    fs.read(out.data(), static_cast<std::streamsize>(size));
+    return out;
+}
+
+static common_chat_templates_ptr read_templates(const std::string & path) {
+    return common_chat_templates_ptr(common_chat_templates_init(/* model= */ nullptr, read_file(path)));
+}
+
+static std::unique_ptr<llama_grammar> build_grammar(const std::string & grammar_str) {
+    return std::unique_ptr<llama_grammar>(
+        llama_grammar_init_impl(nullptr, grammar_str.c_str(), "root", false, nullptr, 0, nullptr, 0));
+}
+
+// TODO: extract to common helper (copied from test-grammar-integration.cpp)
+static bool match_string(const std::string & input, llama_grammar * grammar) {
+    const auto cpts = unicode_cpts_from_utf8(input);
+
+    auto & stacks_cur = llama_grammar_get_stacks(grammar);
+
+    for (const auto & cpt : cpts) {
+        llama_grammar_accept(grammar, cpt);
+
+        if (stacks_cur.empty()) {
+            // no stacks means that the grammar failed to match at this point
+            return false;
+        }
+    }
+
+    if (std::any_of(stacks_cur.begin(), stacks_cur.end(), [](const auto & stack) { return stack.empty(); })) {
+        // An empty stack means that the grammar has been completed
+        return true;
+    }
+
+    return false;
+}
+
+static std::string renormalize_json(const std::string & json_str) {
+    try {
+        auto json_obj = json::parse(json_str);
+        return json_obj.dump();
+    } catch (const std::exception & e) {
+        std::cerr << "Failed to parse JSON: " << e.what() << '\n';
+        return json_str;
+    }
+}
+static void assert_msg_equals(const common_chat_msg & expected, const common_chat_msg & actual) {
+    assert_equals(expected.role, actual.role);
+    assert_equals(expected.content, actual.content);
+    assert_equals(expected.content_parts.size(), actual.content_parts.size());
+    for (size_t i = 0; i < expected.content_parts.size(); i++) {
+        const auto & expected_part = expected.content_parts[i];
+        const auto & actual_part   = actual.content_parts[i];
+        assert_equals(expected_part.type, actual_part.type);
+        assert_equals(expected_part.text, actual_part.text);
+    }
+    assert_equals(expected.reasoning_content, actual.reasoning_content);
+    assert_equals(expected.tool_calls.size(), actual.tool_calls.size());
+    for (size_t i = 0; i < expected.tool_calls.size(); i++) {
+        const auto & expected_tool_call = expected.tool_calls[i];
+        const auto & actual_tool_call   = actual.tool_calls[i];
+        assert_equals(expected_tool_call.name, actual_tool_call.name);
+        assert_equals(renormalize_json(expected_tool_call.arguments), renormalize_json(actual_tool_call.arguments));
+        assert_equals(expected_tool_call.id, actual_tool_call.id);
+    }
+}
+
+common_chat_tool special_function_tool {
+    /* .name = */ "special_function",
+    /* .description = */ "I'm special",
+    /* .parameters = */ R"({
+        "type": "object",
+        "properties": {
+            "arg1": {
+                "type": "integer",
+                "description": "The arg."
+            }
+        },
+        "required": ["arg1"]
+    })",
+};
+common_chat_tool python_tool {
+    /* .name = */ "python",
+    /* .description = */ "an ipython interpreter",
+    /* .parameters = */ R"({
+        "type": "object",
+        "properties": {
+            "code": {
+                "type": "string",
+                "description": "Python code to execute."
+            }
+        },
+        "required": ["code"]
+    })",
+};
+common_chat_tool code_interpreter_tool {
+    /* .name = */ "code_interpreter",
+    /* .description = */ "an ipython interpreter",
+    /* .parameters = */ R"({
+        "type": "object",
+        "properties": {
+            "code": {
+                "type": "string",
+                "description": "Python code to execute."
+            }
+        },
+        "required": ["code"]
+    })",
+};
+std::vector<common_chat_tool> tools           { special_function_tool, python_tool };
+std::vector<common_chat_tool> llama_3_1_tools { special_function_tool, code_interpreter_tool };
+
+struct delta_data {
+    std::string        delta;
+    common_chat_params params;
+};
+
+static delta_data init_delta(const struct common_chat_templates * tmpls, const std::vector<std::string> & end_tokens,
+                             const common_chat_msg & user_message,
+                             const common_chat_msg & delta_message,
+                             const std::vector<common_chat_tool> & tools,
+                             const common_chat_tool_choice & tool_choice) {
+    common_chat_templates_inputs inputs;
+    inputs.parallel_tool_calls = true;
+    inputs.messages.push_back(user_message);
+    inputs.tools       = tools;
+    inputs.tool_choice = tool_choice;
+    auto params_prefix = common_chat_templates_apply(tmpls, inputs);
+
+    inputs.messages.push_back(delta_message);
+    inputs.add_generation_prompt = false;
+    auto params_full             = common_chat_templates_apply(tmpls, inputs);
+
+    std::string prefix = params_prefix.prompt;
+    std::string full   = params_full.prompt;
+
+    if (full == prefix) {
+        throw std::runtime_error("Full message is the same as the prefix");
+    }
+
+    size_t common_prefix_length = 0;
+    for (size_t i = 0; i < prefix.size() && i < full.size(); ++i) {
+        if (prefix[i] != full[i]) {
+            break;
+        }
+        if (prefix[i] == '<') {
+            // DeepSeek R1's template (as of 20250209) adds a trailing <think> if add_generation_prompt,
+            // but it removes thinking tags for past messages.
+            // The prefix and full strings diverge at <think> vs. <｜tool▁calls▁begin｜>, we avoid consuming the leading <.
+            continue;
+        }
+        common_prefix_length = i + 1;
+    }
+    auto delta = full.substr(common_prefix_length);
+
+    // Strip end tokens
+    for (const auto & end_token : end_tokens) {
+        // rfind to find the last occurrence
+        auto pos = delta.rfind(end_token);
+        if (pos != std::string::npos) {
+            delta = delta.substr(0, pos);
+            break;
+        }
+    }
+    return { delta, params_full };
+}
+
+/*
+  Applies the template to 1 user message w/ add_generation_prompt=true, then w/ the test message w/ add_generation_prompt=false,
+  gets the diff, removes any end tokens and parses the result w/ the grammar, checking that
+  the parsed message is the same as the test_message
+*/
+static void test_templates(const struct common_chat_templates * tmpls, const std::vector<std::string> & end_tokens,
+                          const common_chat_msg & test_message,
+                          const std::vector<common_chat_tool> & tools = {},
+                          const std::string & expected_delta = "",
+                          bool expect_grammar_triggered = true,
+                          bool test_grammar_if_triggered = true,
+                          common_reasoning_format reasoning_format = COMMON_REASONING_FORMAT_NONE) {
+    common_chat_msg user_message;
+    user_message.role = "user";
+    user_message.content = "Hello, world!";
+
+    for (const auto & tool_choice : std::vector<common_chat_tool_choice> {COMMON_CHAT_TOOL_CHOICE_AUTO, COMMON_CHAT_TOOL_CHOICE_REQUIRED}) {
+        auto data = init_delta(tmpls, end_tokens, user_message, test_message, tools, tool_choice);
+        if (!expected_delta.empty()) {
+            assert_equals(expected_delta, data.delta);
+        }
+
+        if (expect_grammar_triggered) {
+            common_chat_syntax syntax;
+            syntax.format = data.params.format;
+            syntax.reasoning_format = reasoning_format;
+            const auto msg = common_chat_parse(data.delta, /* is_partial= */ false, syntax);
+            assert_msg_equals(test_message, msg);
+        }
+
+        if (!test_message.tool_calls.empty()) {
+            GGML_ASSERT(!data.params.grammar.empty());
+        }
+        if (!data.params.grammar.empty()) {
+            auto grammar = build_grammar(data.params.grammar);
+            if (!grammar) {
+                throw std::runtime_error("Failed to build grammar");
+            }
+            auto earliest_trigger_pos = std::string::npos;
+            auto constrained = data.delta;
+            for (const auto & trigger : data.params.grammar_triggers) {
+                size_t pos = std::string::npos;
+                std::smatch match;
+                switch (trigger.type) {
+                    case COMMON_GRAMMAR_TRIGGER_TYPE_WORD:
+                    {
+                        const auto & word = trigger.value;
+                        pos = constrained.find(word);
+                        break;
+                    }
+                    case COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN:
+                    {
+                        const auto & pattern = trigger.value;
+                        if (std::regex_search(constrained, match, std::regex(pattern))) {
+                            pos = match.position(1);
+                        }
+                        break;
+                    }
+                    case COMMON_GRAMMAR_TRIGGER_TYPE_PATTERN_FULL:
+                    {
+                        const auto & pattern = trigger.value;
+                        if (std::regex_match(constrained, match, std::regex(pattern))) {
+                            auto mpos = std::string::npos;
+                            for (size_t i = 1; i < match.size(); ++i) {
+                                if (match[i].length() > 0) {
+                                    mpos = match.position(i);
+                                    break;
+                                }
+                            }
+                            if (mpos == std::string::npos) {
+                                mpos = match.position(0);
+                            }
+                            pos = mpos;
+                        }
+                        break;
+                    }
+                    default:
+                        throw std::runtime_error("Unknown trigger type");
+                }
+                if (pos == std::string::npos) {
+                    continue;
+                }
+                if (earliest_trigger_pos == std::string::npos || pos < earliest_trigger_pos) {
+                    earliest_trigger_pos = pos;
+                }
+            }
+            auto grammar_triggered = false;
+            if (earliest_trigger_pos != std::string::npos) {
+                constrained = constrained.substr(earliest_trigger_pos);
+                grammar_triggered = true;
+            }
+            if (data.params.grammar_lazy) {
+                assert_equals(expect_grammar_triggered, grammar_triggered);
+            }
+
+            if (grammar_triggered && test_grammar_if_triggered && !match_string(constrained, grammar.get())) {
+                throw std::runtime_error("Failed to match delta against grammar:\n\n" + data.delta +
+                    "\n\nConstrained: " + constrained +
+                    "\n\nGrammar: " + data.params.grammar);
+            }
+        }
+    }
+}
+
+const common_chat_msg message_user {
+    "user",
+    "Hey there!",
+    /* .content_parts = */ {},
+    /* .tool_calls = */ {},
+    /* .reasoning_content = */ "",
+    /* .tool_name = */ "",
+    /* .tool_call_id = */ "",
+};
+
+const common_chat_msg message_user_parts {
+    "user",
+    /* .content = */ "",
+    /* .content_parts = */ {
+        { "text", "Hey" },
+        { "text", "there" },
+    },
+    /* .tool_calls = */ {},
+    /* .reasoning_content = */ "",
+    /* .tool_name = */ "",
+    /* .tool_call_id = */ "",
+};
+static common_chat_msg simple_assist_msg(const std::string & content, const std::string & reasoning_content = "", const std::string & tool_name = "", const std::string & arguments = "", const std::string & id = "") {
+    common_chat_msg msg;
+    msg.role = "assistant";
+    msg.content = content;
+    msg.reasoning_content = reasoning_content;
+    if (!tool_name.empty()) {
+        msg.tool_calls.push_back({ tool_name, arguments, id });
+    }
+    return msg;
+}
+const common_chat_msg message_assist                              = simple_assist_msg("Hello, world!\nWhat's up?");
+const common_chat_msg message_assist_empty                        = simple_assist_msg("");
+const common_chat_msg message_assist_thoughts_unparsed_deepseek   = simple_assist_msg("<think>I'm\nthinking</think>Hello, world!\nWhat's up?");
+const common_chat_msg message_assist_thoughts_unparsed_md         = simple_assist_msg("<think>I'm\nthinking</think>Hello, world!\nWhat's up?\n```json\n{}```");
+const common_chat_msg message_assist_thoughts_unparsed_md_partial = simple_assist_msg("<think>I'm\nthinking</think>Hello, world!\nWhat's up?\n```json\n{}");
+
+const common_chat_msg message_assist_thoughts_unparsed_r7b       = simple_assist_msg("<|START_THINKING|>I'm\nthinking<|END_THINKING|>Hello, world!\nWhat's up?");
+const common_chat_msg message_assist_thoughts                    = simple_assist_msg("Hello, world!\nWhat's up?", "I'm\nthinking");
+const common_chat_msg message_assist_thoughts_unopened_unparsed  = simple_assist_msg("I'm\nthinking</think>Hello, world!\nWhat's up?");
+const common_chat_msg message_assist_thoughts_no_content         = simple_assist_msg("", "I'm\nthinking");
+const common_chat_msg message_assist_call                        = simple_assist_msg("", "", "special_function", "{\"arg1\": 1}");
+const common_chat_msg message_assist_call_content                = simple_assist_msg("Hello, world!\nWhat's up?", "", "special_function", "{\"arg1\":1}");
+const common_chat_msg message_assist_call_empty_args             = simple_assist_msg("", "", "special_function");
+const common_chat_msg message_assist_call_cutoff_args            = simple_assist_msg("", "", "special_function", "{\"arg");
+const common_chat_msg message_assist_call_thoughts               = simple_assist_msg("", "I'm\nthinking", "special_function", "{\"arg1\":1}");
+const common_chat_msg message_assist_call_thoughts_unparsed      = simple_assist_msg("<think>I'm\nthinking</think>\n\n", "", "special_function", "{\"arg1\": 1}");
+const common_chat_msg message_assist_call_id                     = simple_assist_msg("", "", "special_function", "{\"arg1\":1}", /* .id = */ "123456789");
+const common_chat_msg message_assist_call_idx                    = simple_assist_msg("", "", "special_function", "{\"arg1\":1}", /* .id = */ "0");
+const common_chat_msg message_assist_thoughts_call_idx           = simple_assist_msg("", "I'm\nthinking", "special_function", "{\"arg1\": 1}", /* id = */ "0");
+const common_chat_msg message_assist_call_python                 = simple_assist_msg("", "", "python", "{\"code\":\"print('hey')\"}");
+const common_chat_msg message_assist_call_python_lines           = simple_assist_msg("", "", "python", "{\"code\":\"# This is a program:\\nprint('hey')\"}");
+const common_chat_msg message_assist_call_python_lines_unclosed  = simple_assist_msg("", "", "python", "{\"code\":\"# This is a program:\\nprint('hey')");
+const common_chat_msg message_assist_call_code_interpreter       = simple_assist_msg("", "", "code_interpreter", "{\"code\":\"print('hey')\"}");
+
+static void test_msgs_oaicompat_json_conversion() {
+    printf("[%s]\n", __func__);
+    std::vector<common_chat_msg> msgs{
+        message_user,
+        message_user_parts,
+        message_assist_call,
+        message_assist_call_thoughts,
+        message_assist_call_thoughts_unparsed,
+        message_assist_call_id,
+        message_assist_call_idx,
+        message_assist_call_python,
+        message_assist_call_code_interpreter,
+    };
+    for (const auto & msg : msgs) {
+        auto oai_json = common_chat_msgs_to_json_oaicompat<json>({msg});
+        auto msgs2 = common_chat_msgs_parse_oaicompat(oai_json);
+        assert_equals((size_t) 1, msgs2.size());
+        auto msg2 = msgs2[0];
+        assert_msg_equals(msg, msg2);
+    }
+    assert_equals(
+        std::string(
+            "[\n"
+            "  {\n"
+            "    \"role\": \"user\",\n"
+            "    \"content\": [\n"
+            "      {\n"
+            "        \"type\": \"text\",\n"
+            "        \"text\": \"Hey\"\n"
+            "      },\n"
+            "      {\n"
+            "        \"type\": \"text\",\n"
+            "        \"text\": \"there\"\n"
+            "      }\n"
+            "    ]\n"
+            "  }\n"
+            "]"
+        ),
+        common_chat_msgs_to_json_oaicompat<json>({message_user_parts}).dump(2));
+
+    assert_equals(
+        std::string(
+            "[\n"
+            "  {\n"
+            "    \"role\": \"assistant\",\n"
+            "    \"content\": null,\n"
+            "    \"tool_calls\": [\n"
+            "      {\n"
+            "        \"type\": \"function\",\n"
+            "        \"function\": {\n"
+            "          \"name\": \"python\",\n"
+            "          \"arguments\": \"{\\\"code\\\":\\\"print('hey')\\\"}\"\n"
+            "        }\n"
+            "      }\n"
+            "    ]\n"
+            "  }\n"
+            "]"
+        ),
+        common_chat_msgs_to_json_oaicompat<json>({message_assist_call_python}).dump(2));
+
+    auto res = common_chat_msgs_parse_oaicompat(json::parse("[{\"role\": \"assistant\", \"tool_calls\": []}]"));
+    assert_equals<size_t>(1, res.size());
+    assert_equals<std::string>(res[0].role, "assistant");
+    assert_equals(true, res[0].content.empty());
+    assert_equals(true, res[0].tool_calls.empty());
+
+    try {
+        common_chat_msgs_parse_oaicompat(json::parse("[{\"role\": \"assistant\"}]"));
+        throw std::runtime_error("Expected exception");
+    } catch (const std::exception & e) {
+        if (std::string(e.what()).find("'content'") == std::string::npos) {
+            throw std::runtime_error("Expected exception about missing 'content'");
+        }
+    }
+}
+
+static void test_tools_oaicompat_json_conversion() {
+    printf("[%s]\n", __func__);
+    std::vector<common_chat_tool> tools{
+        special_function_tool,
+        python_tool,
+        code_interpreter_tool,
+    };
+
+    for (const auto & tool : tools) {
+        auto oai_json = common_chat_tools_to_json_oaicompat<json>({tool});
+        auto tools2 = common_chat_tools_parse_oaicompat(oai_json);
+        assert_equals((size_t) 1, tools2.size());
+        auto tool2 = tools2[0];
+        assert_equals(tool.name, tool2.name);
+        assert_equals(tool.description, tool2.description);
+        assert_equals(json::parse(tool.parameters).dump(2), json::parse(tool2.parameters).dump(2));
+    }
+
+    assert_equals(
+        std::string(
+            "[\n"
+            "  {\n"
+            "    \"type\": \"function\",\n"
+            "    \"function\": {\n"
+            "      \"name\": \"special_function\",\n"
+            "      \"description\": \"I'm special\",\n"
+            "      \"parameters\": {\n"
+            "        \"type\": \"object\",\n"
+            "        \"properties\": {\n"
+            "          \"arg1\": {\n"
+            "            \"type\": \"integer\",\n"
+            "            \"description\": \"The arg.\"\n"
+            "          }\n"
+            "        },\n"
+            "        \"required\": [\n"
+            "          \"arg1\"\n"
+            "        ]\n"
+            "      }\n"
+            "    }\n"
+            "  }\n"
+            "]"
+        ),
+        common_chat_tools_to_json_oaicompat<json>({special_function_tool}).dump(2));
+}
+
+static void test_template_output_parsers() {
+    printf("[%s]\n", __func__);
+
+    common_chat_templates_inputs inputs_no_tools;
+    inputs_no_tools.messages                = {message_user};
+
+    common_chat_templates_inputs inputs_tools;
+    inputs_tools.messages                   = {message_user};
+    inputs_tools.tools                      = {special_function_tool};
+
+    common_chat_templates_inputs inputs_tools_builtin;
+    inputs_tools_builtin.messages           = {message_user};
+    inputs_tools_builtin.tools              = {python_tool};
+
+    {
+        // Not supported yet
+        auto tmpls = read_templates("models/templates/CohereForAI-c4ai-command-r-plus-tool_use.jinja");
+        assert_equals(COMMON_CHAT_FORMAT_CONTENT_ONLY, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format);
+        assert_equals(COMMON_CHAT_FORMAT_GENERIC, common_chat_templates_apply(tmpls.get(), inputs_tools).format);
+    }
+    {
+        auto tmpls = read_templates("models/templates/CohereForAI-c4ai-command-r7b-12-2024-tool_use.jinja");
+        std::vector<std::string>   end_tokens{ "<|END_OF_TURN_TOKEN|>" };
+
+        for (const auto & inputs : { inputs_no_tools, inputs_tools }) {
+            auto params = common_chat_templates_apply(tmpls.get(), inputs);
+            assert_equals(COMMON_CHAT_FORMAT_COMMAND_R7B, params.format);
+            assert_equals(false, params.thinking_forced_open);
+        }
+
+        assert_msg_equals(message_assist,
+            common_chat_parse(
+                "Hello, world!\nWhat's up?",
+                /* is_partial= */ false,
+                {COMMON_CHAT_FORMAT_COMMAND_R7B}));
+        assert_msg_equals(message_assist,
+            common_chat_parse(
+                "<|START_RESPONSE|>Hello, world!\nWhat's up?<|END_RESPONSE|>",
+                /* is_partial= */ false,
+                {COMMON_CHAT_FORMAT_COMMAND_R7B}));
+        assert_msg_equals(message_assist_thoughts,
+            common_chat_parse(
+                "<|START_THINKING|>I'm\nthinking<|END_THINKING|>"
+                "<|START_RESPONSE|>Hello, world!\nWhat's up?<|END_RESPONSE|>",
+                /* is_partial= */ false,
+                {
+                    /* .format = */ COMMON_CHAT_FORMAT_COMMAND_R7B,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
+                }));
+        assert_msg_equals(message_assist_thoughts_unparsed_deepseek,
+            common_chat_parse(
+                "<|START_THINKING|>I'm\nthinking<|END_THINKING|>"
+                "<|START_RESPONSE|>Hello, world!\nWhat's up?<|END_RESPONSE|>",
+                /* is_partial= */ false,
+                {
+                    /* .format = */ COMMON_CHAT_FORMAT_COMMAND_R7B,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
+                    /* .reasoning_in_content = */ true,
+                    /* .thinking_forced_open = */ false,
+                }));
+        assert_msg_equals(message_assist_thoughts_unparsed_r7b,
+            common_chat_parse(
+                "<|START_THINKING|>I'm\nthinking<|END_THINKING|>"
+                "<|START_RESPONSE|>Hello, world!\nWhat's up?<|END_RESPONSE|>",
+                /* is_partial= */ false,
+                {COMMON_CHAT_FORMAT_COMMAND_R7B}));
+        assert_msg_equals(message_assist_thoughts,
+            common_chat_parse(
+                "<|START_THINKING|>I'm\nthinking<|END_THINKING|>"
+                "<|START_RESPONSE|>Hello, world!\nWhat's up?<|END_RESPONSE|>",
+                /* is_partial= */ false,
+                {
+                    /* .format = */ COMMON_CHAT_FORMAT_COMMAND_R7B,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
+                }));
+        assert_msg_equals(message_assist_thoughts_call_idx,
+            common_chat_parse(
+                "<|START_THINKING|>I'm\nthinking<|END_THINKING|>"
+                "<|START_ACTION|>[\n"
+                "    {\"tool_call_id\": \"0\", \"tool_name\": \"special_function\", \"parameters\": {\"arg1\": 1}}\n"
+                "]<|END_ACTION|>",
+                /* is_partial= */ false,
+                {
+                    /* .format = */ COMMON_CHAT_FORMAT_COMMAND_R7B,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
+                }));
+        assert_msg_equals(message_assist_thoughts_no_content,
+            common_chat_parse(
+                "<|START_THINKING|>I'm\nthinking<|END_THINKING|>"
+                "<|START_ACTION|>[\n"
+                "    {\"tool_call_id\": \"0\", \"tool_name\": \"special",
+                /* is_partial= */ true,
+                {
+                    /* .format = */ COMMON_CHAT_FORMAT_COMMAND_R7B,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
+                }));
+
+        test_templates(tmpls.get(), end_tokens, message_assist_call_idx, tools,
+                      "<|START_THINKING|><|END_THINKING|>"
+                      "<|START_ACTION|>[\n"
+                      "    {\"tool_call_id\": \"0\", \"tool_name\": \"special_function\", \"parameters\": {\"arg1\": 1}}\n"
+                      "]<|END_ACTION|>",
+                      /* expect_grammar_triggered= */ true,
+                      /* test_grammar_if_triggered= */ true,
+                      COMMON_REASONING_FORMAT_DEEPSEEK);
+        test_templates(tmpls.get(), end_tokens, message_assist, tools,
+                      "<|START_RESPONSE|>Hello, world!\n"
+                      "What's up?<|END_RESPONSE|>",
+                      /* expect_grammar_triggered= */ false);
+    }
+    {
+        auto tmpls = read_templates("models/templates/google-gemma-2-2b-it.jinja");
+        std::vector<std::string>   end_tokens{ "<end_of_turn>" };
+
+        assert_equals(COMMON_CHAT_FORMAT_CONTENT_ONLY, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format);
+        assert_equals(COMMON_CHAT_FORMAT_GENERIC, common_chat_templates_apply(tmpls.get(), inputs_tools).format);
+        assert_equals(COMMON_CHAT_FORMAT_GENERIC,
+                      common_chat_templates_apply(
+                          read_templates("models/templates/microsoft-Phi-3.5-mini-instruct.jinja").get(),
+                          inputs_tools)
+                          .format);
+
+        // Generic tool calls doesn't generate / parse content-only messages symmetrically.
+
+        assert_equals(
+            simple_assist_msg("{ \"tool_call\" : { \"name\" : \"t"),
+            common_chat_parse(
+                "{ \"tool_call\" : { \"name\" : \"t",
+                /* is_partial= */ true,
+                {
+                    /* .format = */ COMMON_CHAT_FORMAT_GENERIC,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
+                    /* .reasoning_in_content = */ false,
+                    /* .thinking_forced_open = */ true,
+                    /* .parse_tool_calls = */ false,
+                }));
+        assert_equals(
+            message_assist_empty,
+            common_chat_parse(
+                "{ \"tool_call\" : { \"name\" : \"t",
+                /* is_partial= */ true,
+                {COMMON_CHAT_FORMAT_GENERIC}));
+
+        assert_equals(
+            simple_assist_msg("", "", "puppeteer_screenshot", "{\"name\":\"servethehome_homepage\","),
+            common_chat_parse(
+                R"({"tool_call": {"name": "puppeteer_screenshot", "arguments": {"name": "servethehome_homepage",)",
+                /* is_partial= */ true,
+                {COMMON_CHAT_FORMAT_GENERIC}));
+
+        assert_equals(
+            message_assist_call_empty_args,
+            common_chat_parse(
+                "{ \"tool_call\" : { \"name\" : \"special_function\"",
+                /* is_partial= */ true,
+                {COMMON_CHAT_FORMAT_GENERIC}));
+        assert_equals(
+            message_assist_call_cutoff_args,
+            common_chat_parse(
+                "{ \"tool_call\" : { \"name\" : \"special_function\", \"arguments\" : { \"arg",
+                /* is_partial= */ true,
+                {COMMON_CHAT_FORMAT_GENERIC}));
+
+        assert_msg_equals(message_assist,
+            common_chat_parse(
+                "{\n"
+                "  \"response\": \"Hello, world!\\nWhat's up?\"\n"
+                "}",
+                /* is_partial= */ false,
+                {COMMON_CHAT_FORMAT_GENERIC}));
+        test_templates(tmpls.get(), end_tokens, message_assist_call_id, tools,
+                      "{\n"
+                      "  \"tool_calls\": [\n"
+                      "    {\n"
+                      "      \"name\": \"special_function\",\n"
+                      "      \"arguments\": {\n"
+                      "        \"arg1\": 1\n"
+                      "      },\n"
+                      "      \"id\": \"123456789\"\n"
+                      "    }\n"
+                      "  ]\n"
+                      "}");
+    }
+    {
+        auto tmpls = read_templates("models/templates/mistralai-Mistral-Nemo-Instruct-2407.jinja");
+        std::vector<std::string>   end_tokens{ "</s>" };
+
+        assert_equals(COMMON_CHAT_FORMAT_MISTRAL_NEMO, common_chat_templates_apply(tmpls.get(), inputs_tools).format);
+
+        test_templates(tmpls.get(), end_tokens, message_assist, tools, "Hello, world!\nWhat's up?", /* expect_grammar_triggered= */ false);
+        test_templates(
+            tmpls.get(), end_tokens, message_assist_call_id, tools,
+            "[TOOL_CALLS][{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}, \"id\": \"123456789\"}]");
+    }
+    {
+        auto tmpls = read_templates("models/templates/Qwen-QwQ-32B.jinja");
+        std::vector<std::string> end_tokens{ "<|im_end|>" };
+
+        assert_equals(COMMON_CHAT_FORMAT_HERMES_2_PRO, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format);
+        assert_equals(COMMON_CHAT_FORMAT_HERMES_2_PRO, common_chat_templates_apply(tmpls.get(), inputs_tools).format);
+    }
+    {
+        auto tmpls = read_templates("models/templates/NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use.jinja");
+        std::vector<std::string> end_tokens{ "<|im_end|>" };
+
+        assert_equals(COMMON_CHAT_FORMAT_HERMES_2_PRO, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format);
+        assert_equals(COMMON_CHAT_FORMAT_HERMES_2_PRO, common_chat_templates_apply(tmpls.get(), inputs_tools).format);
+        assert_equals(
+            COMMON_CHAT_FORMAT_HERMES_2_PRO,
+            common_chat_templates_apply(
+                read_templates("models/templates/NousResearch-Hermes-3-Llama-3.1-8B-tool_use.jinja").get(),
+                inputs_tools)
+                .format);
+        assert_equals(
+            COMMON_CHAT_FORMAT_HERMES_2_PRO,
+            common_chat_templates_apply(
+                read_templates("models/templates/Qwen-Qwen2.5-7B-Instruct.jinja").get(),
+                inputs_tools)
+                .format);
+
+        // Test parsing
+        assert_msg_equals(
+            simple_assist_msg("", "", "python", ""),
+            common_chat_parse(
+                "```json\n"
+                "<function_call> { \"name\" : \"python\"",
+                /* is_partial= */ true,
+                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
+        assert_msg_equals(
+            simple_assist_msg("Let's call something\n"),
+            common_chat_parse(
+                "Let's call something\n"
+                "<tool_call>{\"name\"",
+                /* is_partial= */ true,
+                {
+                    /* .format = */ COMMON_CHAT_FORMAT_HERMES_2_PRO,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
+                }));
+        assert_msg_equals(
+            simple_assist_msg("Let's call something\n"),
+            common_chat_parse(
+                "Let's call something\n"
+                "<tool_call>{\"name",
+                /* is_partial= */ true,
+                {
+                    /* .format = */ COMMON_CHAT_FORMAT_HERMES_2_PRO,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
+                }));
+        assert_msg_equals(message_assist_call_thoughts,
+            common_chat_parse(
+                // QwQ-32B's template adds a trailing <think> if add_generation_prompt
+                "I'm\nthinking</think>\n"
+                "<tool_call>{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}</tool_call>",
+                /* is_partial= */ false,
+                {
+                    /* .format = */ COMMON_CHAT_FORMAT_HERMES_2_PRO,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
+                    /* .reasoning_in_content = */ false,
+                    /* .thinking_forced_open = */ true,
+                }));
+        assert_msg_equals(
+            message_assist_call,
+            common_chat_parse(
+                "<tool_call>\n"
+                "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n"
+                "</tool_call>",
+                /* is_partial= */ false,
+                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
+        assert_msg_equals(message_assist_call_content,
+            common_chat_parse(
+                "Hello, world!\nWhat's up?<tool_call>\n"
+                "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n"
+                "</tool_call>",
+                /* is_partial= */ false,
+                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
+        assert_msg_equals(
+            message_assist_call,
+            common_chat_parse(
+                "<function=special_function>{\"arg1\": 1}</function>",
+                /* is_partial= */ false,
+                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
+        assert_msg_equals(
+            message_assist_call,
+            common_chat_parse(
+                "<function name=\"special_function\">\n"
+                "{\"arg1\": 1}\n"
+                "</function>",
+                /* is_partial= */ false,
+                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
+        assert_msg_equals(
+            message_assist_call,
+            common_chat_parse(
+                "<tool>\n"
+                "  {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n"
+                "</tool>",
+                /* is_partial= */ false,
+                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
+        assert_msg_equals(
+            message_assist_call,
+            common_chat_parse(
+                "<tools>\n"
+                "  {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n"
+                "</tools>",
+                /* is_partial= */ false,
+                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
+        assert_msg_equals(
+            message_assist_call,
+            common_chat_parse(
+                "<response>\n"
+                "  {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n"
+                "</response>",
+                /* is_partial= */ false,
+                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
+        assert_msg_equals(
+            message_assist_call,
+            common_chat_parse(
+                "```xml\n"
+                "<response>\n"
+                "    {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n"
+                "</response>\n"
+                "```",
+                /* is_partial= */ false,
+                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
+        assert_msg_equals(
+            message_assist_call,
+            common_chat_parse(
+                "```xml\n"
+                "  {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n"
+                "```",
+                /* is_partial= */ false,
+                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
+        assert_msg_equals(
+            message_assist_call,
+            common_chat_parse(
+                "```\n"
+                "  {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n"
+                "```",
+                /* is_partial= */ false,
+                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
+        assert_msg_equals(
+            message_assist_call,
+            common_chat_parse(
+                "```\n"
+                "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n"
+                "```",
+                /* is_partial= */ false,
+                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
+        assert_msg_equals(
+            message_assist_call,
+            common_chat_parse(
+                "```json\n"
+                "  {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n"
+                "```",
+                /* is_partial= */ false,
+                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
+        assert_msg_equals(
+            message_assist_call,
+            common_chat_parse(
+                "```json\n"
+                "\n"
+                "                    <function_call> {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}} \n"
+                "                    </function_call> \n"
+                "``` ",
+                /* is_partial= */ false,
+                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
+        assert_msg_equals(
+            message_assist_call,
+            common_chat_parse(
+                "<json>\n"
+                "  {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n"
+                "</json>",
+                /* is_partial= */ false,
+                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
+        assert_msg_equals(
+            message_assist_call,
+            common_chat_parse(
+                "<xml>\n"
+                "  {\n"
+                "    \"name\": \"special_function\", \"arguments\": {\"arg1\": 1}\n"
+                "  }\n"
+                "</xml>",
+                /* is_partial= */ false,
+                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
+        assert_msg_equals(
+            message_assist_call,
+            common_chat_parse(
+                "<JSON>\n"
+                "  {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n"
+                "</JSON>",
+                /* is_partial= */ false,
+                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
+        assert_msg_equals(
+            message_assist_call,
+            common_chat_parse(
+                "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}",
+                /* is_partial= */ false,
+                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
+        assert_msg_equals(
+            message_assist_call,
+            common_chat_parse(
+                "{\n  \"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}",
+                /* is_partial= */ false,
+                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
+
+        assert_msg_equals(
+            simple_assist_msg(
+                "This is not a tool call:",
+                "",
+                "special_function",
+                "{\"arg1\": 1}"),
+            common_chat_parse(
+                "This is not a tool call:\n"
+                "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}",
+                /* is_partial= */ false,
+                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
+        assert_msg_equals(message_assist,
+            common_chat_parse(
+                "Hello, world!\nWhat's up?",
+                /* is_partial= */ false,
+                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
+        assert_msg_equals(message_assist_thoughts_unparsed_deepseek,
+            common_chat_parse(
+                "<think>I'm\nthinking</think>Hello, world!\nWhat's up?",
+                /* is_partial= */ false,
+                {COMMON_CHAT_FORMAT_HERMES_2_PRO}));
+        // assert_msg_equals(message_assist_thoughts_unparsed_deepseek,
+        //     common_chat_parse(
+        //         "I'm\nthinking</think>Hello, world!\nWhat's up?",
+        //         COMMON_CHAT_FORMAT_HERMES_2_PRO));
+        assert_msg_equals(message_assist_thoughts,
+            common_chat_parse(
+                "<think>I'm\nthinking</think>Hello, world!\nWhat's up?",
+                /* is_partial= */ false,
+                {
+                    /* .format = */ COMMON_CHAT_FORMAT_HERMES_2_PRO,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
+                }));
+        assert_msg_equals(message_assist_thoughts,
+            common_chat_parse(
+                "<think>I'm\nthinking</think>Hello, world!\nWhat's up?",
+                /* is_partial= */ true,
+                {
+                    /* .format = */ COMMON_CHAT_FORMAT_HERMES_2_PRO,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
+                }));
+        assert_msg_equals(message_assist_thoughts_unparsed_md,
+            common_chat_parse(
+                "<think>I'm\nthinking</think>Hello, world!\nWhat's up?\n```json\n{}```",
+                /* is_partial= */ false,
+                {
+                    /* .format = */ COMMON_CHAT_FORMAT_HERMES_2_PRO,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
+                    /* .reasoning_in_content = */ true,
+                    /* .thinking_forced_open = */ false,
+                    /* .parse_tool_calls = */ false,
+                }));
+        assert_msg_equals(message_assist_thoughts_unparsed_md_partial,
+            common_chat_parse(
+                "<think>I'm\nthinking</think>Hello, world!\nWhat's up?\n```json\n{}```",
+                /* is_partial= */ true,
+                {
+                    /* .format = */ COMMON_CHAT_FORMAT_HERMES_2_PRO,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
+                    /* .reasoning_in_content = */ true,
+                    /* .thinking_forced_open = */ false,
+                }));
+        assert_msg_equals(message_assist_thoughts_unopened_unparsed,
+            common_chat_parse(
+                "I'm\nthinking</think>Hello, world!\nWhat's up?",
+                /* is_partial= */ false,
+                {
+                    /* .format = */ COMMON_CHAT_FORMAT_HERMES_2_PRO,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
+                }));
+        assert_msg_equals(message_assist_thoughts,
+            common_chat_parse(
+                "I'm\nthinking</think>Hello, world!\nWhat's up?",
+                /* is_partial= */ false,
+                {
+                    /* .format = */ COMMON_CHAT_FORMAT_HERMES_2_PRO,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
+                    /* .reasoning_in_content = */ false,
+                    /* .thinking_forced_open = */ true,
+                }));
+
+        test_templates(tmpls.get(), end_tokens, message_assist, tools, "Hello, world!\nWhat's up?", /* expect_grammar_triggered= */ false);
+        test_templates(tmpls.get(), end_tokens, message_assist_call, tools,
+                      "<tool_call>\n"
+                      "{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}\n"
+                      "</tool_call>");
+        test_templates(tmpls.get(), end_tokens, message_assist_call_python_lines, tools,
+                      "<tool_call>\n"
+                      "{\"name\": \"python\", \"arguments\": {\"code\":\"# This is a program:\\nprint('hey')\"}}\n"
+                      "</tool_call>");
+        assert_msg_equals(
+            simple_assist_msg("", /* reasoning_content= */ "<tool_call>nah uhg</tool_call>"),
+            common_chat_parse(
+                "<think><tool_call>nah uhg</tool_call>",
+                /* is_partial= */ false,
+                {
+                    /* .format = */ COMMON_CHAT_FORMAT_HERMES_2_PRO,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
+                }));
+    }
+    {
+        auto tmpls = read_templates("models/templates/meta-llama-Llama-3.1-8B-Instruct.jinja");
+        std::vector<std::string>   end_tokens{ "<|eom_id|>", "<|eot_id|>" };
+
+        assert_equals(COMMON_CHAT_FORMAT_CONTENT_ONLY, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format);
+        assert_equals(COMMON_CHAT_FORMAT_LLAMA_3_X, common_chat_templates_apply(tmpls.get(), inputs_tools).format);
+        assert_equals(COMMON_CHAT_FORMAT_LLAMA_3_X_WITH_BUILTIN_TOOLS,
+                      common_chat_templates_apply(tmpls.get(), inputs_tools_builtin).format);
+        assert_equals(COMMON_CHAT_FORMAT_LLAMA_3_X_WITH_BUILTIN_TOOLS,
+                      common_chat_templates_apply(
+                          read_templates("models/templates/meta-llama-Llama-3.3-70B-Instruct.jinja").get(),
+                          inputs_tools_builtin)
+                          .format);
+
+        assert_equals(
+            message_assist_call,
+            common_chat_parse(
+                "{\"name\": \"special_function\", \"parameters\": {\"arg1\": 1}}",
+                /* is_partial= */ false,
+                {COMMON_CHAT_FORMAT_LLAMA_3_X}));
+
+        // test_templates(tmpls.get(), end_tokens, message_assist, tools, R"(?)", /* expect_grammar_triggered= */ false);
+        test_templates(tmpls.get(), end_tokens, message_assist_call_code_interpreter, llama_3_1_tools,
+                      "<|python_tag|>code_interpreter.call(code=\"print('hey')\")");
+        test_templates(tmpls.get(), end_tokens, message_assist_call_python, tools,
+                      "<|python_tag|>python.call(code=\"print('hey')\")");
+        test_templates(tmpls.get(), end_tokens, message_assist_call, tools,
+                      "{\"name\": \"special_function\", \"parameters\": {\"arg1\": 1}}");
+    }
+    {
+        auto tmpls = read_templates("models/templates/meta-llama-Llama-3.2-3B-Instruct.jinja");
+        std::vector<std::string>   end_tokens{ "<|eom_id|>", "<|eot_id|>" };
+
+        assert_equals(COMMON_CHAT_FORMAT_LLAMA_3_X, common_chat_templates_apply(tmpls.get(), inputs_tools).format);
+        assert_equals(COMMON_CHAT_FORMAT_CONTENT_ONLY, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format);
+
+        test_templates(tmpls.get(), end_tokens, message_assist, tools, "Hello, world!\nWhat's up?", /* expect_grammar_triggered= */ false);
+        test_templates(tmpls.get(), end_tokens, message_assist_call, tools,
+                      "{\"name\": \"special_function\", \"parameters\": {\"arg1\": 1}}");
+    }
+    {
+        auto tmpls = read_templates("models/templates/meetkai-functionary-medium-v3.1.jinja");
+        std::vector<std::string>   end_tokens{ "<|eom_id|>", "<|eot_id|>" };
+
+        assert_equals(COMMON_CHAT_FORMAT_CONTENT_ONLY,
+                      common_chat_templates_apply(tmpls.get(), inputs_no_tools).format);
+        assert_equals(COMMON_CHAT_FORMAT_FUNCTIONARY_V3_1_LLAMA_3_1,
+            common_chat_templates_apply(tmpls.get(), inputs_tools).format);
+        assert_equals(COMMON_CHAT_FORMAT_CONTENT_ONLY,
+                        common_chat_templates_apply(tmpls.get(), inputs_no_tools).format);
+
+        for (auto is_partial : { false, true }) {
+            assert_equals(
+                message_assist_call,
+                common_chat_parse(
+                    "<function=special_function>{\"arg1\": 1}</function>",
+                    is_partial,
+                    {COMMON_CHAT_FORMAT_FUNCTIONARY_V3_1_LLAMA_3_1}));
+        }
+
+        assert_equals(
+            message_assist_call,
+            common_chat_parse(
+                "<function=special_function>{\"arg1\": 1}<",
+                /* is_partial= */ true,
+                {COMMON_CHAT_FORMAT_FUNCTIONARY_V3_1_LLAMA_3_1}));
+
+        test_templates(tmpls.get(), end_tokens, message_assist, tools, "Hello, world!\nWhat's up?", /* expect_grammar_triggered= */ false);
+        test_templates(tmpls.get(), end_tokens, message_assist_call, tools,
+                      "<function=special_function>{\"arg1\": 1}</function>");
+    }
+    {
+        auto tmpls = read_templates("models/templates/meetkai-functionary-medium-v3.2.jinja");
+        std::vector<std::string>   end_tokens{ "<|eom_id|>", "<|eot_id|>" };
+
+        assert_equals(COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format);
+        assert_equals(COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2, common_chat_templates_apply(tmpls.get(), inputs_tools).format);
+
+        assert_msg_equals(
+            simple_assist_msg(
+                "Hello, world!\nnono\nWhat's up?",
+                "",
+                "special_function",
+                "{\"arg1\": 1}"),
+            common_chat_parse(
+                "all\n"
+                "Hello, world!\n"
+                "nono\n"
+                "What's up?>>>special_function\n"
+                "{\"arg1\": 1}\n",
+                /* is_partial= */ false,
+                {COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2}));
+        assert_msg_equals(message_assist_call_python_lines,
+            common_chat_parse(
+                "python\n"
+                "# This is a program:\n"
+                "print('hey')",
+                /* is_partial= */ false,
+                {COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2}));
+        assert_msg_equals(message_assist_call_python_lines_unclosed,
+            common_chat_parse(
+                "python\n"
+                "# This is a program:\n"
+                "print('hey')",
+                /* is_partial= */ true,
+                {COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2}));
+        assert_msg_equals(message_assist_call,
+            common_chat_parse(
+                "special_function\n"
+                "{\"arg1\": 1} \n                    ",
+                /* is_partial= */ false,
+                {COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2}));
+        assert_msg_equals(message_assist,
+            common_chat_parse(
+                "all\n"
+                "Hello, world!\nWhat's up?",
+                /* is_partial= */ false,
+                {COMMON_CHAT_FORMAT_FUNCTIONARY_V3_2}));
+
+        test_templates(tmpls.get(), end_tokens, message_assist, {},
+                      "all\n"
+                      "Hello, world!\n"
+                      "What's up?",
+                      /* expect_grammar_triggered= */ false);
+        test_templates(tmpls.get(), end_tokens, message_assist_call, tools,
+                      "special_function\n"
+                      "{\"arg1\": 1}");
+    }
+    {
+        auto tmpls = read_templates("models/templates/fireworks-ai-llama-3-firefunction-v2.jinja");
+        std::vector<std::string>   end_tokens{ "<|eot_id|>" };
+
+        assert_equals(COMMON_CHAT_FORMAT_CONTENT_ONLY, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format);
+        assert_equals(COMMON_CHAT_FORMAT_FIREFUNCTION_V2, common_chat_templates_apply(tmpls.get(), inputs_tools).format);
+
+        test_templates(tmpls.get(), end_tokens, message_assist, tools, "Hello, world!\nWhat's up?", /* expect_grammar_triggered= */ false);
+        test_templates(tmpls.get(), end_tokens, message_assist_call, tools,
+                      " functools[{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}]");
+    }
+    {
+        // Original DeepSeek R1 template. Leaves <｜tool▁calls▁begin｜> and others unclosed. Our logic fixes the prompt.
+        auto tmpls = read_templates("models/templates/deepseek-ai-DeepSeek-R1-Distill-Llama-8B.jinja");
+        std::vector<std::string>   end_tokens{ "<｜end▁of▁sentence｜>" };
+
+        for (const auto & inputs : { inputs_no_tools, inputs_tools }) {
+            auto params = common_chat_templates_apply(tmpls.get(), inputs);
+            assert_equals(COMMON_CHAT_FORMAT_DEEPSEEK_R1, params.format);
+            assert_equals(true, params.thinking_forced_open);
+        }
+
+        test_templates(tmpls.get(), end_tokens, message_assist, tools, "Hello, world!\nWhat's up?", /* expect_grammar_triggered= */ false);
+        test_templates(tmpls.get(), end_tokens, message_assist_thoughts, tools, "Hello, world!\nWhat's up?", /* expect_grammar_triggered= */ false);
+        assert_msg_equals(
+            simple_assist_msg("Hello, world!\nWhat's up?", "<think>I'm\nthinking"),
+            common_chat_parse(
+                "<think>I'm\nthinking</think>Hello, world!\nWhat's up?",
+                /* is_partial= */ false,
+                {
+                    COMMON_CHAT_FORMAT_DEEPSEEK_R1,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
+                    /* .reasoning_in_content = */ false,
+                    /* .thinking_forced_open = */ true,
+                }));
+        assert_msg_equals(
+            simple_assist_msg("", "I need to remember the correct syntax. It starts with <｜tool▁calls▁begin｜> and ends with"),
+            common_chat_parse(
+                "I need to remember the correct syntax. It starts with <｜tool▁calls▁begin｜> and ends with",
+                /* is_partial= */ true,
+                {
+                    COMMON_CHAT_FORMAT_DEEPSEEK_R1,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
+                    /* .reasoning_in_content = */ false,
+                    /* .thinking_forced_open = */ true,
+                }));
+        assert_msg_equals(message_assist_thoughts,
+            common_chat_parse(
+                "<think>I'm\nthinking</think>Hello, world!\nWhat's up?",
+                /* is_partial= */ false,
+                {
+                    /* .format = */ COMMON_CHAT_FORMAT_DEEPSEEK_R1,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
+                }));
+        assert_msg_equals(message_assist_thoughts_unopened_unparsed,
+            common_chat_parse(
+                "I'm\nthinking</think>Hello, world!\nWhat's up?",
+                /* is_partial= */ false,
+                {
+                    /* .format = */ COMMON_CHAT_FORMAT_DEEPSEEK_R1,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
+                }));
+        assert_msg_equals(message_assist_thoughts,
+            common_chat_parse(
+                "I'm\nthinking</think>Hello, world!\nWhat's up?",
+                /* is_partial= */ false,
+                {
+                    /* .format = */ COMMON_CHAT_FORMAT_DEEPSEEK_R1,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
+                    /* .reasoning_in_content = */ false,
+                    /* .thinking_forced_open = */ true,
+                }));
+        assert_msg_equals(message_assist_thoughts,
+            // Latest template update (ast of 20250209) adds a trailing <think>\n if add_generation_prompt is true.
+            common_chat_parse(
+                "I'm\nthinking</think>Hello, world!\nWhat's up?",
+                /* is_partial= */ false,
+                {
+                    /* .format = */ COMMON_CHAT_FORMAT_DEEPSEEK_R1,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
+                    /* .reasoning_in_content = */ false,
+                    /* .thinking_forced_open = */ true,
+                }));
+        // test_templates(tmpls.get(), end_tokens, message_assist_call, tools,
+        //               "<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>function<｜tool▁sep｜>special_function\n"
+        //               "```json\n"
+        //               "{\"arg1\": 1}\n"
+        //               // Look what's not here: <｜tool▁calls▁end｜> (also missing the <｜end▁of▁sentence｜>, but that is removed lazily by the test's delta logic)
+        //               "```<｜tool▁call▁end｜>",
+        //               /* expect_grammar_triggered= */ true,
+        //               /* test_grammar_if_triggered= */ false);
+    }
+    {
+        // Replacement DeepSeek R1 template. Makes the Distill Qwen 7B/32B models happy to call tools and all.
+        auto tmpls = read_templates("models/templates/llama-cpp-deepseek-r1.jinja");
+        std::vector<std::string>   end_tokens{ "<｜end▁of▁sentence｜>" };
+
+        assert_equals(COMMON_CHAT_FORMAT_DEEPSEEK_R1,                   common_chat_templates_apply(tmpls.get(), inputs_no_tools).format);
+        assert_equals(COMMON_CHAT_FORMAT_DEEPSEEK_R1,                   common_chat_templates_apply(tmpls.get(), inputs_tools).format);
+
+        test_templates(tmpls.get(), end_tokens, message_assist, tools, "Hello, world!\nWhat's up?", /* expect_grammar_triggered= */ false);
+        test_templates(tmpls.get(), end_tokens, message_assist_thoughts, tools, "Hello, world!\nWhat's up?", /* expect_grammar_triggered= */ false);
+        assert_msg_equals(message_assist_thoughts_unparsed_deepseek,
+            common_chat_parse(
+                "<think>I'm\nthinking</think>Hello, world!\nWhat's up?",
+                /* is_partial= */ false,
+                {COMMON_CHAT_FORMAT_DEEPSEEK_R1}));
+        assert_msg_equals(message_assist_thoughts,
+            common_chat_parse(
+                "<think>I'm\nthinking</think>Hello, world!\nWhat's up?",
+                /* is_partial= */ false,
+                {
+                    /* .format = */ COMMON_CHAT_FORMAT_DEEPSEEK_R1,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
+                }));
+        assert_msg_equals(message_assist_thoughts,
+            common_chat_parse(
+                "I'm\nthinking</think>Hello, world!\nWhat's up?",
+                /* is_partial= */ false,
+                {
+                    /* .format = */ COMMON_CHAT_FORMAT_DEEPSEEK_R1,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
+                    /* .reasoning_in_content = */ false,
+                    /* .thinking_forced_open = */ true,
+                }));
+
+        assert_msg_equals(message_assist_call_thoughts_unparsed,
+            common_chat_parse(
+                "<think>I'm\nthinking</think>\n\n"
+                "<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>function<｜tool▁sep｜>special_function\n"
+                "```json\n"
+                "{\"arg1\": 1}\n"
+                "```<｜tool▁call▁end｜><｜tool▁calls▁end｜>",
+                /* is_partial= */ false,
+                {COMMON_CHAT_FORMAT_DEEPSEEK_R1}));
+        assert_msg_equals(message_assist_call,
+            common_chat_parse(
+                "<｜tool▁calls｜>function<｜tool▁sep｜>special_function\n"
+                "```json\n"
+                "{\"arg1\": 1}\n"
+                "```<｜tool▁call▁end｜><｜tool▁calls▁end｜>",
+                /* is_partial= */ false,
+                {COMMON_CHAT_FORMAT_DEEPSEEK_R1}));
+
+        assert_msg_equals(message_assist_call_thoughts,
+            common_chat_parse(
+                "<think>I'm\nthinking</think>\n\n"
+                "<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>function<｜tool▁sep｜>special_function\n"
+                "```json\n"
+                "{\"arg1\": 1}\n"
+                "```<｜tool▁call▁end｜><｜tool▁calls▁end｜>",
+                /* is_partial= */ false,
+                {
+                    /* .format = */ COMMON_CHAT_FORMAT_DEEPSEEK_R1,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_DEEPSEEK,
+                }));
+        test_templates(tmpls.get(), end_tokens, message_assist_call, tools,
+                "<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>function<｜tool▁sep｜>special_function\n"
+                "```json\n"
+                "{\"arg1\": 1}\n"
+                "```<｜tool▁call▁end｜><｜tool▁calls▁end｜>");
+    }
+    {
+        auto tmpls = read_templates("models/templates/ibm-granite-granite-3.3-2B-Instruct.jinja");
+        std::vector<std::string> end_tokens{ "<|end_of_text|>" };
+
+        assert_equals(COMMON_CHAT_FORMAT_GRANITE, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format);
+
+        assert_equals(COMMON_CHAT_FORMAT_GRANITE, common_chat_templates_apply(tmpls.get(), inputs_tools).format);
+
+        // Test parsing regular content
+        assert_msg_equals(message_assist,
+            common_chat_parse(
+                "Hello, world!\nWhat's up?",
+                /* is_partial= */ false,
+                {COMMON_CHAT_FORMAT_GRANITE}));
+
+        // Test parsing content with thinking
+        assert_msg_equals(message_assist_thoughts,
+            common_chat_parse(
+                "<think>I'm\nthinking</think>Hello, world!\nWhat's up?",
+                /* is_partial= */ false,
+                {
+                    /* .format = */ COMMON_CHAT_FORMAT_GRANITE,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_GRANITE,
+                }));
+
+        // Test parsing tool calls
+        assert_msg_equals(message_assist_call,
+            common_chat_parse(
+                "<|tool_call|>[{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}]",
+                /* is_partial= */ false,
+                {COMMON_CHAT_FORMAT_GRANITE}));
+
+        // Test template generation for regular content
+        test_templates(tmpls.get(), end_tokens, message_assist, tools,
+                      "Hello, world!\nWhat's up?",
+                      /* expect_grammar_triggered= */ false);
+
+        // Test template generation for tool calls
+        test_templates(tmpls.get(), end_tokens, message_assist_call_id, tools,
+                      "{\n"
+                      "  \"tool_calls\": [\n"
+                      "    {\n"
+                      "      \"name\": \"special_function\",\n"
+                      "      \"arguments\": {\n"
+                      "        \"arg1\": 1\n"
+                      "      },\n"
+                      "      \"id\": \"123456789\"\n"
+                      "    }\n"
+                      "  ]\n"
+                      "}",
+                      /* expect_grammar_triggered= */ false
+        );
+    }
+    {
+        auto tmpls = read_templates("models/templates/openai-gpt-oss-120b.jinja");
+        std::vector<std::string> end_tokens{ "<|return|>", "<|call|>" };
+
+        assert_equals(COMMON_CHAT_FORMAT_GPT_OSS, common_chat_templates_apply(tmpls.get(), inputs_no_tools).format);
+        assert_equals(COMMON_CHAT_FORMAT_GPT_OSS, common_chat_templates_apply(tmpls.get(), inputs_tools).format);
+
+        assert_msg_equals(simple_assist_msg("", "I'm\nthink"),
+            common_chat_parse(
+                "<|channel|>analysis<|message|>I'm\nthink",
+                /* is_partial= */ true,
+                {
+                    /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO,
+                }));
+        assert_msg_equals(simple_assist_msg("", "I'm\nthinking"),
+            common_chat_parse(
+                "<|channel|>analysis<|message|>I'm\nthinking<|end|>",
+                /* is_partial= */ true,
+                {
+                    /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO,
+                }));
+        assert_msg_equals(simple_assist_msg("Hello, world!\nWhat's up?", "I'm\nthinking"),
+            common_chat_parse(
+                "<|channel|>analysis<|message|>I'm\nthinking<|end|>"
+                "<|start|>assistant<|channel|>final<|message|>Hello, world!\nWhat's up?",
+                /* is_partial= */ false,
+                {
+                    /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO,
+                }));
+        assert_msg_equals(simple_assist_msg("", "I'm\nthinking", "special_function", "{\"arg1"),
+            common_chat_parse(
+                "<|channel|>analysis<|message|>I'm\nthinking<|end|>"
+                "<|start|>assistant<|channel|>commentary to=functions.special_function <|constrain|>json<|message|>{\"arg1",
+                /* is_partial= */ true,
+                {
+                    /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO,
+                }));
+        assert_msg_equals(simple_assist_msg("", "I'm\nthinking", "special_function", "{\"arg1"),
+            common_chat_parse(
+                "<|channel|>analysis<|message|>I'm\nthinking<|end|>"
+                "<|start|>assistant<|channel|>commentary to=functions.special_function<|message|>{\"arg1",
+                /* is_partial= */ true,
+                {
+                    /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO,
+                }));
+        assert_msg_equals(simple_assist_msg("", "I'm\nthinking", "special_function", "{\"arg1\": 1}"),
+            common_chat_parse(
+                "<|channel|>analysis<|message|>I'm\nthinking<|end|>"
+                "<|start|>assistant<|channel|>commentary to=functions.special_function <|constrain|>json<|message|>{\"arg1\": 1}",
+                /* is_partial= */ false,
+                {
+                    /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO,
+                }));
+        assert_msg_equals(simple_assist_msg("", "I'm\nthinking", "special_function", "{\"arg1\": 1}"),
+            common_chat_parse(
+                "<|channel|>analysis<|message|>I'm\nthinking<|end|>"
+                "<|start|>assistant<|channel|>analysis to=functions.special_function <|constrain|>json<|message|>{\"arg1\": 1}",
+                /* is_partial= */ false,
+                {
+                    /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO,
+                }));
+        assert_msg_equals(simple_assist_msg("Hello, world!\nWhat's up?", "I'm\nthinking"),
+            common_chat_parse(
+                "<|channel|>analysis<|message|>I'm\nthinking<|end|>"
+                "<|start|>assistant<|channel|>commentary<|message|>Hello, world!\nWhat's up?",
+                /* is_partial= */ true,
+                {
+                    /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO,
+                }));
+        assert_msg_equals(simple_assist_msg("Hello, world!\nWhat's up?", "I'm\nthinking", "special_function", "{\"arg1\": 1}"),
+            common_chat_parse(
+                "<|channel|>analysis<|message|>I'm\nthinking<|end|>"
+                "<|start|>assistant<|channel|>commentary<|message|>Hello, world!\nWhat's up?<|end|>"
+                "<|start|>assistant<|channel|>commentary to=functions.special_function <|constrain|>json<|message|>{\"arg1\": 1}",
+                /* is_partial= */ true,
+                {
+                    /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO,
+                }));
+
+        // Test parse_tool_calls == false
+        assert_msg_equals(
+            simple_assist_msg("Hello, world!\nWhat's up?", "I'm\nthinking"),
+            common_chat_parse(
+                "<|channel|>analysis<|message|>I'm\nthinking<|end|>"
+                "<|start|>assistant<|channel|>final<|message|>Hello, world!\nWhat's up?",
+                /* is_partial= */ true,
+                {
+                    /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO,
+                    /* .reasoning_in_content = */ false,
+                    /* .thinking_forced_open = */ false,
+                    /* .parse_tool_calls = */ false,
+                }));
+        assert_msg_equals(
+            simple_assist_msg("", "I'm\nthinking"),
+            common_chat_parse(
+                "<|channel|>analysis<|message|>I'm\nthinking<|end|>"
+                "<|start|>assistant<|channel|>commentary to=functions.special_function<|message|>{\"arg1",
+                /* is_partial= */ true,
+                {
+                    /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO,
+                    /* .reasoning_in_content = */ false,
+                    /* .thinking_forced_open = */ false,
+                    /* .parse_tool_calls = */ false,
+                }));
+        assert_msg_equals(
+            simple_assist_msg("", "I'm\nthinking"),
+            common_chat_parse(
+                "<|channel|>analysis<|message|>I'm\nthinking<|end|>"
+                "<|start|>assistant<|channel|>commentary to=functions.special_function <|constrain|>json<|message|>{\"arg1\": 1}",
+                /* is_partial= */ false,
+                {
+                    /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO,
+                    /* .reasoning_in_content = */ false,
+                    /* .thinking_forced_open = */ false,
+                    /* .parse_tool_calls = */ false,
+                }));
+
+        // Test reasoning formats
+        assert_msg_equals(
+            simple_assist_msg(
+                "<|channel|>analysis<|message|>I'm\nthinking<|end|>Hello, world!\nWhat's up?"),
+            common_chat_parse(
+                "<|channel|>analysis<|message|>I'm\nthinking<|end|>"
+                "<|start|>assistant<|channel|>final<|message|>Hello, world!\nWhat's up?",
+                /* is_partial= */ false,
+                {
+                    /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_NONE,
+                }));
+
+        assert_msg_equals(
+            simple_assist_msg(
+                "<|channel|>analysis<|message|>I'm\nthinking<|end|>Hello, world!\nWhat's up?"),
+            common_chat_parse(
+                "<|channel|>analysis<|message|>I'm\nthinking<|end|>"
+                "<|start|>assistant<|channel|>final<|message|>Hello, world!\nWhat's up?",
+                /* is_partial= */ false,
+                {
+                    /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO,
+                    /* .reasoning_in_content = */ true,
+                }));
+
+        // Test tool calling in role header
+        assert_msg_equals(simple_assist_msg("", "", "special_function", "{\"arg1\": 1}"),
+            common_chat_parse(
+                " to=functions.special_function<|channel|>commentary <|constrain|>json<|message|>{\"arg1\": 1}",
+                /* is_partial= */ false,
+                {
+                    /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO,
+                }));
+        assert_msg_equals(simple_assist_msg("", "", "special_function", "{\"arg1\": 1}"),
+            common_chat_parse(
+                " to=functions.special_function<|channel|>analysis <|constrain|>json<|message|>{\"arg1\": 1}",
+                /* is_partial= */ false,
+                {
+                    /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO,
+                }));
+        assert_msg_equals(simple_assist_msg("", "I'm\nthinking", "special_function", "{\"arg1\": 1}"),
+            common_chat_parse(
+                "<|channel|>analysis<|message|>I'm\nthinking<|end|>"
+                "<|start|>assistant to=functions.special_function<|channel|>analysis <|constrain|>json<|message|>{\"arg1\": 1}",
+                /* is_partial= */ false,
+                {
+                    /* .format = */ COMMON_CHAT_FORMAT_GPT_OSS,
+                    /* .reasoning_format = */ COMMON_REASONING_FORMAT_AUTO,
+                }));
+    }
+}
+
+static void test_msg_diffs_compute() {
+    printf("[%s]\n", __func__);
+    {
+        common_chat_msg msg1;
+
+        common_chat_msg msg2;
+        msg2.content = "Hello, world!";
+
+        common_chat_msg_diff diff;
+        diff.content_delta = "Hello, world!";
+
+        assert_equals(
+            {diff},
+            common_chat_msg_diff::compute_diffs(msg1, msg2));
+    }
+    {
+        common_chat_msg msg1;
+        msg1.content = "Hello,";
+
+        common_chat_msg msg2;
+        msg2.content = "Hello, world!";
+
+        common_chat_msg_diff diff;
+        diff.content_delta = " world!";
+
+        assert_equals(
+            {diff},
+            common_chat_msg_diff::compute_diffs(msg1, msg2));
+    }
+    {
+        common_chat_msg msg0;
+
+        common_chat_msg msg1;
+        msg1.tool_calls = { { "special_function", "{\"ar", /* .id = */ "123" } };
+
+        common_chat_msg msg2;
+        msg2.tool_calls = { { "special_function", "{\"arg1\": 1}", /* .id = */ "123" } };
+
+        common_chat_msg_diff diff01;
+        diff01.tool_call_index = 0;
+        diff01.tool_call_delta.name = "special_function";
+        diff01.tool_call_delta.id = "123";
+        diff01.tool_call_delta.arguments = "{\"ar";
+
+        assert_equals(
+            {diff01},
+            common_chat_msg_diff::compute_diffs(msg0, msg1));
+
+        common_chat_msg_diff diff12;
+        diff12.tool_call_index = 0;
+        // Note: neither id nor name change here.
+        diff12.tool_call_delta.arguments = "g1\": 1}";
+
+        assert_equals(
+            {diff12},
+            common_chat_msg_diff::compute_diffs(msg1, msg2));
+    }
+    {
+        common_chat_msg msg0;
+
+        common_chat_msg msg2;
+        msg2.tool_calls = {
+            { "f1", "{\"arg1\": 1}", /* .id = */ "123" },
+            { "f2", "{\"arg2\": 2}", /* .id = */ "222" },
+        };
+
+        common_chat_msg_diff diff1;
+        diff1.tool_call_index = 0;
+        diff1.tool_call_delta.name = "f1";
+        diff1.tool_call_delta.id = "123";
+        diff1.tool_call_delta.arguments = "{\"arg1\": 1}";
+
+        common_chat_msg_diff diff2;
+        diff2.tool_call_index = 1;
+        diff2.tool_call_delta.name = "f2";
+        diff2.tool_call_delta.id = "222";
+        diff2.tool_call_delta.arguments = "{\"arg2\": 2}";
+
+        assert_equals(
+            {diff1, diff2},
+            common_chat_msg_diff::compute_diffs(msg0, msg2));
+    }
+}
+
+int main(int argc, char ** argv) {
+    // try {
+#ifndef _WIN32
+        if (argc > 1) {
+            common_chat_templates_inputs inputs;
+            common_chat_msg msg;
+            msg.role = "user";
+            msg.content = "Hey";
+            inputs.messages = {msg};
+            inputs.tools = { special_function_tool };
+
+            std::cout << "| Template | Format |\n";
+            std::cout << "|----------|--------|\n";
+
+            for (int i = 1; i < argc; i++) {
+                try {
+                    std::string path = argv[i];
+                    if (path.rfind(".jinja") != path.size() - 6) {
+                        std::cerr << "Skipping non-jinja file: " << path << '\n';
+                        continue;
+                    }
+                    auto tmpls = read_templates(path);
+                    auto parts  = string_split(path, "/");
+                    auto name   = parts[parts.size() - 1];
+                    auto format = common_chat_format_name(common_chat_templates_apply(tmpls.get(), inputs).format);
+                    std::cout << "| " << name << " | " << format << " |\n";
+                } catch (const std::exception & e) {
+                    std::cerr << "Failed to process " << argv[i] << ": " << e.what() << '\n';
+                }
+            }
+        } else
+#endif
+        {
+            test_msg_diffs_compute();
+            test_msgs_oaicompat_json_conversion();
+            test_tools_oaicompat_json_conversion();
+            test_template_output_parsers();
+            std::cout << "\n[chat] All tests passed!" << '\n';
+        }
+        return 0;
+    // } catch (const std::exception & e) {
+    //     std::cerr << "Error: " << e.what() << '\n';
+    //     return 1;
+    // }
+}
diff --git a/tests/test-grammar-integration.cpp b/tests/test-grammar-integration.cpp
index 68f971bfe..78a19c8d8 100644
--- a/tests/test-grammar-integration.cpp
+++ b/tests/test-grammar-integration.cpp
@@ -149,7 +149,7 @@ static void test_grammar(const std::string & test_desc, const std::string & gram
     test(test_desc + ". Grammar: " + grammar_str, grammar_str, passing_strings, failing_strings);
 }
 static void test_schema(const std::string & test_desc, const std::string & schema_str, const std::vector<std::string> & passing_strings, const std::vector<std::string> & failing_strings) {
-    test(test_desc + ". Schema: " + schema_str, json_schema_to_grammar(json::parse(schema_str)), passing_strings, failing_strings);
+    test(test_desc + ". Schema: " + schema_str, json_schema_to_grammar(json::parse(schema_str), true), passing_strings, failing_strings);
 }
 
 static void test_simple_grammar() {
diff --git a/tests/test-grammar-llguidance.cpp b/tests/test-grammar-llguidance.cpp
new file mode 100644
index 000000000..8b696006b
--- /dev/null
+++ b/tests/test-grammar-llguidance.cpp
@@ -0,0 +1,1140 @@
+#ifdef NDEBUG
+#    undef NDEBUG
+#endif
+
+#include "unicode.h"
+#include "sampling.h"
+
+#include <cassert>
+#include <string>
+#include <vector>
+
+static const llama_vocab * vocab;
+
+static bool match_string(const std::string & input, llama_sampler * grammar) {
+    llama_sampler_reset(grammar);
+    auto tokens = common_tokenize(vocab, input, false, false);
+
+    auto n_vocab = llama_vocab_n_tokens(vocab);
+
+    std::vector<llama_token_data> cur;
+    cur.reserve(n_vocab);
+    for (llama_token token_id = 0; token_id < (llama_token) n_vocab; token_id++) {
+        cur.emplace_back(llama_token_data{ token_id, 0.0f, 0.0f });
+    }
+    auto tok_arr = llama_token_data_array{ cur.data(), cur.size(), -1, false };
+
+    for (const auto token : tokens) {
+        for (llama_token token_id = 0; token_id < (llama_token) n_vocab; token_id++) {
+            cur[token_id].logit = 0.0f;
+        }
+        llama_sampler_apply(grammar, &tok_arr);
+        if (cur[token].logit < 0.0f) {
+            return false;
+        }
+        llama_sampler_accept(grammar, token);
+    }
+
+    // do we allow EOS at the end? if so the grammar is accepting
+
+    auto tok_eos = llama_vocab_eot(vocab);
+    if (tok_eos == LLAMA_TOKEN_NULL) {
+        tok_eos = llama_vocab_eos(vocab);
+    }
+
+    cur[tok_eos].logit = 0.0f;
+    llama_sampler_apply(grammar, &tok_arr);
+
+    return cur[tok_eos].logit >= 0.0f;
+}
+
+static void test(const std::string & test_desc, const std::string & grammar_str,
+                 const std::vector<std::string> & passing_strings, const std::vector<std::string> & failing_strings) {
+    fprintf(stderr, "⚫ Testing %s\n%s\n", test_desc.c_str(), grammar_str.c_str());
+    fflush(stderr);
+
+    auto * grammar = llama_sampler_init_llg(vocab, "lark", grammar_str.c_str());
+
+    fprintf(stderr, "  🔵 Valid strings:\n");
+
+    // Passing strings
+    for (const auto & test_string : passing_strings) {
+        fprintf(stderr, "    \"%s\" ", test_string.c_str());
+        fflush(stderr);
+
+        bool matched = match_string(test_string, grammar);
+
+        if (!matched) {
+            fprintf(stderr, "❌ (failed to match)\n");
+
+            // DEBUG: Write strings to files so that we can analyze more easily with gbnf-validator program to see exactly where things failed.
+            // DEBUG: Write the grammar_str to test-grammar-integration.grammar.gbnf
+            FILE * grammar_file = fopen("test-grammar-integration.grammar.gbnf", "w");
+            if (grammar_file) {
+                fprintf(grammar_file, "%s", grammar_str.c_str());
+                fclose(grammar_file);
+            }
+
+            // DEBUG: Write the test string to test-grammar-integration.string.txt
+            FILE * string_file = fopen("test-grammar-integration.string.txt", "w");
+            if (string_file) {
+                fprintf(string_file, "%s", test_string.c_str());
+                fclose(string_file);
+            }
+
+            fprintf(stderr,
+                    "\n NOTE: Debug grammar file generated. To analyze this failure in detail, run the following "
+                    "command:     ./llama-gbnf-validator test-grammar-integration.grammar.gbnf "
+                    "test-grammar-integration.string.txt\n\n");
+        } else {
+            fprintf(stdout, "✅︎\n");
+        }
+
+        assert(matched);
+    }
+
+    fprintf(stderr, "  🟠 Invalid strings:\n");
+
+    // Failing strings
+    for (const auto & test_string : failing_strings) {
+        fprintf(stderr, "    \"%s\" ", test_string.c_str());
+        fflush(stderr);
+
+        bool matched = match_string(test_string, grammar);
+
+        if (matched) {
+            fprintf(stderr, "❌ (incorrectly matched)\n");
+        } else {
+            fprintf(stdout, "✅︎\n");
+        }
+        assert(!matched);
+    }
+
+    llama_sampler_free(grammar);
+}
+
+static void test_grammar(const std::string & test_desc, const std::string & grammar_str,
+                         const std::vector<std::string> & passing_strings,
+                         const std::vector<std::string> & failing_strings) {
+    test(test_desc + ". Grammar: " + grammar_str, grammar_str, passing_strings, failing_strings);
+}
+
+static void test_schema(const std::string & test_desc, const std::string & schema_str,
+                        const std::vector<std::string> & passing_strings,
+                        const std::vector<std::string> & failing_strings) {
+    test(test_desc + ". Schema: " + schema_str, "%llguidance {}\nstart: %json " + schema_str, passing_strings,
+         failing_strings);
+}
+
+static void test_simple_grammar() {
+    test_schema("min 0",
+                R"""({
+            "type": "integer",
+            "minimum": 0
+        })""",
+                // Passing strings
+                {
+                    "0",
+                    "10",
+                    "12",
+                    "10000",
+                },
+                // Failing strings
+                {
+                    "-1",
+                    "-10",
+                    "-10000",
+                    "-100000000000000000000000000000000",
+                    // "100000000000000000000000000000000",
+                    "00",
+                    "01",
+                    "-0",
+                });
+    test_schema("min 2",
+                // Schema
+                R"""({
+            "type": "integer",
+            "minimum": 2
+        })""",
+                // Passing strings
+                {
+                    "2",
+                    "3",
+                    "4",
+                    "10",
+                    "20",
+                    "1234567890000000",
+                },
+                // Failing strings
+                {
+                    "0", "1", "-1", "-100", "0", "1", "01", "02",
+                    // "12345678900000000",
+                });
+    test_schema("min 456",
+                R"""({
+            "type": "integer",
+            "minimum": 456
+        })""",
+                // Passing strings
+                {
+                    "456",
+                    "4560",
+                    "457",
+                    "460",
+                    "500",
+                },
+                // Failing strings
+                {
+                    "455",
+                    "356",
+                    "50",
+                    "050",
+                    "-1",
+                    "-456",
+                });
+    test_schema("min -123",
+                R"""({
+            "type": "integer",
+            "minimum": -123
+        })""",
+                // Passing strings
+                {
+                    "-123",
+                    "-122",
+                    "-11",
+                    "-1",
+                    "0",
+                    "1",
+                    "123",
+                    "1234",
+                    "2345",
+                },
+                // Failing strings
+                {
+                    "-1234",
+                    "-124",
+                });
+
+    test_schema("max 9999",
+                // Schema
+                R"""({
+            "type": "integer",
+            "maximum": 9999
+        })""",
+                // Passing strings
+                {
+                    "-99999",
+                    "0",
+                    "9999",
+                },
+                // Failing strings
+                {
+                    "10000",
+                    "99991",
+                });
+    test_schema("max -9999",
+                // Schema
+                R"""({
+            "type": "integer",
+            "maximum": -9999
+        })""",
+                // Passing strings
+                {
+                    "-10000",
+                    "-9999",
+                },
+                // Failing strings
+                {
+                    "-9998",
+                    "0",
+                    "9999",
+                });
+    test_schema("min 5 max 30",
+                // Schema
+                R"""({
+            "type": "integer",
+            "minimum": 5,
+            "maximum": 30
+        })""",
+                // Passing strings
+                {
+                    "5",
+                    "10",
+                    "30",
+                },
+                // Failing strings
+                {
+                    "05",
+                    "4",
+                    "-1",
+                    "31",
+                    "123",
+                    "0123",
+                });
+    test_schema("min -1 max 1",
+                R"""({
+            "type": "integer",
+            "minimum": -1,
+            "maximum": 1
+        })""",
+                // Passing strings
+                {
+                    "-1",
+                    "0",
+                    "1",
+                },
+                // Failing strings
+                {
+                    "-11",
+                    "-10",
+                    "-2",
+                    "2",
+                    "10",
+                    "11",
+                });
+    test_schema("min -123 max 42",
+                R"""({
+            "type": "integer",
+            "minimum": -123,
+            "maximum": 42
+        })""",
+                // Passing strings
+                {
+                    "-123",
+                    "-122",
+                    "-13",
+                    "-11",
+                    "-2",
+                    "-1",
+                    "0",
+                    "1",
+                    "5",
+                    "10",
+                    "39",
+                    "40",
+                    "42",
+                },
+                // Failing strings
+                {
+                    "-0123",
+                    "-124",
+                    "-1123",
+                    "-200",
+                    "43",
+                    "123",
+                    "0123",
+                });
+    test_schema("exclusive min / max",
+                // Schema
+                R"""({
+            "type": "integer",
+            "exclusiveMinimum": 0,
+            "exclusiveMaximum": 10000
+        })""",
+                // Passing strings
+                {
+                    "1",
+                    "9999",
+                },
+                // Failing strings
+                {
+                    "0",
+                    "01",
+                    "10000",
+                    "99999",
+                });
+
+    // Test case for a simple grammar
+    test_grammar("simple grammar",
+                 R"""(
+            start: expr
+            expr: term ("+" term)*
+            term: number
+            number: /[0-9]+/ )""",
+                 // Passing strings
+                 {
+                     "42",
+                     "1+2+3+4+5",
+                     "123+456",
+                 },
+                 // Failing strings
+                 {
+                     "+",
+                     "/ 3",
+                     "1+2+3+4+5+",
+                     "12a45",
+                 });
+}
+
+static void test_complex_grammar() {
+    // Test case for a more complex grammar, with both failure strings and success strings
+    test_grammar("medium complexity grammar",
+                 // Grammar
+                 R"""(
+            start: expression
+            expression: term ws (("+"|"-") ws term)*
+            term: factor ws (("*"|"/") ws factor)*
+            factor: number | variable | "(" expression ")" | function-call
+            number: /[0-9]+/
+            variable: /[a-zA-Z_][a-zA-Z0-9_]*/
+            function-call: variable ws "(" (expression ("," ws expression)*)? ")"
+            ws: /[ \t\n\r]?/ )""",
+                 // Passing strings
+                 { "42",
+                   "1*2*3*4*5",
+                   "x",
+                   "x+10",
+                   "x1+y2",
+                   "(a+b)*(c-d)",
+                   "func()",
+                   "func(x,y+2)",
+                   "a*(b+c)-d/e",
+                   "f(g(x),h(y,z))",
+                   "x + 10",
+                   "x1 + y2",
+                   "(a + b) * (c - d)",
+                   "func()",
+                   "func(x, y + 2)",
+                   "a * (b + c) - d / e",
+                   "f(g(x), h(y, z))",
+                   "123+456",
+                   "123*456*789-123/456+789*123",
+                   "123+456*789-123/456+789*123-456/789+123*456-789/123+456*789-123/456+789*123-456" },
+                 // Failing strings
+                 {
+                     "+",
+                     "/ 3x",
+                     "x + + y",
+                     "a * / b",
+                     "func(,)",
+                     "func(x y)",
+                     "(a + b",
+                     "x + y)",
+                     "a + b * (c - d",
+                     "42 +",
+                     "x +",
+                     "x + 10 +",
+                     "(a + b) * (c - d",
+                     "func(",
+                     "func(x, y + 2",
+                     "a * (b + c) - d /",
+                     "f(g(x), h(y, z)",
+                     "123+456*789-123/456+789*123-456/789+123*456-789/123+456*789-123/456+789*123-456/",
+                 });
+}
+
+static void test_special_chars() {
+    // A collection of tests to exercise special characters such as "."
+    test_grammar("special characters",
+                 // Grammar
+                 R"""(
+            start: /.../ "abc" /.../
+            )""",
+                 // Passing strings
+                 { "abcabcabc", "aaaabcccc",
+                   // NOTE: Also ensures that multi-byte characters still count as a single character
+                   "🔵🟠✅abc❌🟠🔵" },
+                 // Failing strings
+                 { "aaabcccc", "aaaaabcccc", "aaaabccc", "aaaabccccc", "🔵🟠✅❌abc❌✅🟠🔵", "🔵🟠abc🟠🔵" });
+}
+
+static void test_quantifiers() {
+    // A collection of tests to exercise * + and ? quantifiers
+
+    test_grammar(
+        "* quantifier",
+        // Grammar
+        R"""(start: "a"*)""",
+        // Passing strings
+        { "", "a", "aaaaa", "aaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa" },
+        // Failing strings
+        { "b", "ab", "aab", "ba", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaab" });
+    test_grammar(
+        "+ quantifier",
+        // Grammar
+        R"""(start: "a"+)""",
+        // Passing strings
+        { "a", "aaaaa", "aaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa" },
+        // Failing strings
+        { "", "b", "ab", "aab", "ba", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaab" });
+    test_grammar("? quantifier",
+                 // Grammar
+                 R"""(start: "a"?)""",
+                 // Passing strings
+                 { "", "a" },
+                 // Failing strings
+                 {
+                     "b",
+                     "ab",
+                     "aa",
+                     "ba",
+                 });
+    test_grammar("mixed quantifiers",
+                 // Grammar
+                 R"""(
+            start: cons+ vowel* cons? (vowel cons)*
+            vowel: /[aeiouy]/
+            cons: /[bcdfghjklmnpqrstvwxyz]/
+            )""",
+                 // Passing strings
+                 {
+                     "yes",
+                     "no",
+                     "noyes",
+                     "crwth",
+                     "four",
+                     "bryyyy",
+                 },
+                 // Failing strings
+                 {
+                     "yess",
+                     "yesno",
+                     "forty",
+                     "catyyy",
+                 });
+    test_grammar("simple exact repetition",
+                 // Grammar
+                 R"""(
+            start: /[ab]{4}/
+        )""",
+                 // Passing strings
+                 {
+                     "aaaa",
+                     "bbbb",
+                     "abab",
+                 },
+                 // Failing strings
+                 {
+                     "a",
+                     "b",
+                     "aaaaa",
+                 });
+    test_grammar("simple min repetition",
+                 // Grammar
+                 R"""(
+            start: /[ab]{4,}/
+        )""",
+                 // Passing strings
+                 {
+                     "aaaa",
+                     "aaaaab",
+                     "bbbb",
+                     "ababab",
+                 },
+                 // Failing strings
+                 {
+                     "",
+                     "aba",
+                 });
+    test_grammar("simple max repetition",
+                 // Grammar
+                 R"""(
+            start: /[ab]{0,4}/
+        )""",
+                 // Passing strings
+                 {
+                     "",
+                     "a",
+                     "aa",
+                     "aaa",
+                     "aaab",
+                 },
+                 // Failing strings
+                 {
+                     "aaaaa",
+                 });
+    // test_grammar("min / max repetition",
+    //              // Grammar
+    //              R"""(
+    //         start: ("0x" /[A-F0-9]{2}/ " "?){3,5}
+    //     )""",
+    //              // Passing strings
+    //              {
+    //                  "0xFF 0x12 0xAB",
+    //                  "0xFF 0x12 0xAB 0x00 0x00",
+    //              },
+    //              // Failing strings
+    //              {
+    //                  "",
+    //                  "0xFF",
+    //                  "0xFF 0x12",
+    //                  "0xFF 0x12 0xAB 0x00 0x00 0x00",
+    //              });
+}
+
+static void test_json_schema() {
+    // Note that this is similar to the regular grammar tests,
+    //  but we convert each json schema to a grammar before parsing.
+    // Otherwise, this test structure is the same.
+
+    test_schema("empty schema (object)",
+                // Schema
+                R"""(
+            {"type":"object"}
+        )""",
+                // Passing strings
+                {
+                    R"""({})""",
+                    R"""({"foo": "bar"})""",
+                },
+                // Failing strings
+                {
+                    "",
+                    "[]",
+                    "null",
+                    R"""("")""",
+                    "true",
+                });
+
+    test_schema(
+        "exotic formats (list)",
+        // Schema
+        R"""({
+            "items": [
+                { "format": "date" },
+                { "format": "uuid" },
+                { "format": "time" },
+                { "format": "date-time" }
+            ]
+        })""",
+        // Passing strings
+        {
+            // "{}", // NOTE: This string passes for this schema on https://www.jsonschemavalidator.net/ -- should it?
+            // "[]", // NOTE: This string passes for this schema on https://www.jsonschemavalidator.net/ -- should it?
+            R"""(["2012-04-23", "12345678-1234-1234-1234-1234567890ab", "18:25:43.511Z", "2012-04-23T18:25:43.511Z"])""",
+            //R"""(["2012-04-23","12345678-1234-1234-1234-1234567890ab"])""", // NOTE: This string passes for this schema on https://www.jsonschemavalidator.net/ -- should it?
+            //R"""({"foo": "bar"})""", // NOTE: This string passes for this schema on https://www.jsonschemavalidator.net/ -- should it?
+        },
+        // Failing strings
+        {
+            R"""(["foo", "bar"])""",
+            R"""(["12345678-1234-1234-1234-1234567890ab"])""",
+        });
+
+    test_schema("string",
+                // Schema
+                R"""({
+            "type": "string"
+        })""",
+                // Passing strings
+                {
+                    R"""("foo")""",
+                    R"""("bar")""",
+                    R"""("")""",
+                },
+                // Failing strings
+                {
+                    R"""({})""",
+                    R"""("foo": "bar")""",
+                });
+
+    test_schema("string w/ min length 1",
+                // Schema
+                R"""({
+            "type": "string",
+            "minLength": 1
+        })""",
+                // Passing strings
+                {
+                    R"""("foo")""",
+                    R"""("bar")""",
+                },
+                // Failing strings
+                {
+                    R"""("")""",
+                    R"""({})""",
+                    R"""("foo": "bar")""",
+                });
+
+    test_schema("string w/ min length 3",
+                // Schema
+                R"""({
+                "type": "string",
+                "minLength": 3
+        })""",
+                // Passing strings
+                {
+                    R"""("foo")""",
+                    R"""("bar")""",
+                    R"""("foobar")""",
+                },
+                // Failing strings
+                {
+                    R"""("")""",
+                    R"""("f")""",
+                    R"""("fo")""",
+                });
+
+    test_schema("string w/ max length",
+                // Schema
+                R"""({
+            "type": "string",
+            "maxLength": 3
+        })""",
+                // Passing strings
+                {
+                    R"""("foo")""",
+                    R"""("bar")""",
+                    R"""("")""",
+                    R"""("f")""",
+                    R"""("fo")""",
+                },
+                // Failing strings
+                {
+                    R"""("foobar")""",
+                });
+
+    test_schema("string w/ min & max length",
+                // Schema
+                R"""({
+            "type": "string",
+            "minLength": 1,
+            "maxLength": 4
+        })""",
+                // Passing strings
+                {
+                    R"""("foo")""",
+                    R"""("bar")""",
+                    R"""("f")""",
+                    R"""("barf")""",
+                },
+                // Failing strings
+                {
+                    R"""("")""",
+                    R"""("barfo")""",
+                    R"""("foobar")""",
+                });
+
+    test_schema("boolean",
+                // Schema
+                R"""({
+            "type": "boolean"
+        })""",
+                // Passing strings
+                {
+                    "true",
+                    "false",
+                },
+                // Failing strings
+                {
+                    R"""("")""",
+                    R"""("true")""",
+                    R"""(True)""",
+                    R"""(FALSE)""",
+                });
+
+    test_schema("integer",
+                // Schema
+                R"""({
+            "type": "integer"
+        })""",
+                // Passing strings
+                {
+                    R"""(0)""",
+                    R"""(12345)""",
+                    R"""(1234567890123456)""",
+                },
+                // Failing strings
+                {
+                    R"""()""",
+                    R"""(01)""",
+                    R"""(007)""",
+                    R"""(12345678901234567  )""",
+                });
+
+    test_schema("string const",
+                // Schema
+                R"""({
+            "const": "foo"
+        })""",
+                // Passing strings
+                {
+                    R"""("foo")""",
+                },
+                // Failing strings
+                {
+                    R"""(foo)""",
+                    R"""("bar")""",
+                });
+
+    test_schema("non-string const",
+                // Schema
+                R"""({
+            "const": true
+        })""",
+                // Passing strings
+                {
+                    R"""(true)""",
+                },
+                // Failing strings
+                {
+                    R"""()""",
+                    R"""(foo)""",
+                    R"""("true")""",
+                });
+
+    test_schema("non-string const",
+                // Schema
+                R"""({
+            "enum": ["red", "amber", "green", null, 42, ["foo"]]
+        })""",
+                // Passing strings
+                {
+                    R"""("red")""",
+                    R"""(null)""",
+                    R"""(42)""",
+                    R"""(["foo"])""",
+                },
+                // Failing strings
+                {
+                    R"""()""",
+                    R"""(420)""",
+                    R"""(true)""",
+                    R"""(foo)""",
+                });
+
+    test_schema("simple pattern",
+                // Schema
+                R"""({
+            "pattern": "^[a-zA-Z0-9_-]*$"
+        })""",
+                // Passing strings
+                {
+                    R"""("")""",
+                    R"""("He_llo-12")""",
+                },
+                // Failing strings
+                {
+                    R"""("!")""",
+                    R"""("Hello World")""",
+                });
+
+    test_schema("pattern with escapes",
+                // Schema
+                R"""({
+            "pattern": "^a\\^\\$\\.\\[\\]\\(\\)\\|\\{\\}\\*\\+\\?b$"
+        })""",
+                // Passing strings
+                {
+                    R"""("a^$.[]()|{}*+?b")""",
+                },
+                // Failing strings
+                {
+                    R"""("ab")""",
+                });
+
+    test_schema("",
+                // Schema
+                R"""(
+            {
+                "type": ["array", "null"],
+                "items": { "type": "string" }
+            }
+        )""",
+                // Passing strings
+                {
+                    "null",
+                    "[]",
+                    "[\"123\"]",
+                    "[\"foo\", \"bar\"]",
+                },
+                // Failing strings
+                {
+                    "",
+                    "[123]",
+                    "\"foo\"",
+                    "[\"foo\", 42]",
+                });
+
+    test_schema("min+max items",
+                // Schema
+                R"""({
+            "items": {
+                "type": ["number", "integer"]
+            },
+            "minItems": 3,
+            "maxItems": 5
+        })""",
+                // Passing strings
+                {
+                    R"""([1, 2, 3])""",
+                    R"""([1, 2, 3, 4])""",
+                    R"""([1, 2, 3, 4, 5])""",
+                    // this is in fact correct; keyword do not apply if the type is wrong
+                    R"""(1)""",
+                },
+                // Failing strings
+                {
+                    R"""([1, 2])""",
+                    R"""([1, 2, 3, 4, 5, 6])""",
+                });
+
+    // Properties (from: https://json-schema.org/understanding-json-schema/reference/object#properties)
+    test_schema("object properties",
+                // Schema
+                R"""({
+            "type": "object",
+            "properties": {
+                "number": { "type": "number" },
+                "street_name": { "type": "string" },
+                "street_type": { "enum": ["Street", "Avenue", "Boulevard"] }
+            },
+            "additionalProperties": false
+        })""",
+                // Passing strings
+                {
+                    R"""({ "number": 1600, "street_name": "Pennsylvania", "street_type":"Avenue"})""",
+                    // "By default, leaving out properties is valid"
+                    R"""({ "street_name": "Pennsylvania" })""",
+                    R"""({ "number": 1600, "street_name": "Pennsylvania" })""",
+                    // "By extension, even an empty object is valid"
+                    R"""({})""",
+                    R"""({ "number": 1600, "street_name": "Pennsylvania", "street_type": "Avenue" })""",
+                },
+                // Failing strings
+                {
+                    // Change datatype from number to string
+                    R"""({ "number": "1600", "street_name": "Pennsylvania", "street_type":"Avenue"})""",
+                    // Reorder properties
+                    R"""({ "street_name": "Pennsylvania", "number": 1600 })""",
+                    // Reorder properties
+                    R"""({ "number": "1600", "street_name": "Pennsylvania", "street_type":"Avenue"})""",
+                    // Additional properties set to false
+                    R"""({ "number": 1600, "street_name": "Pennsylvania", "street_type":"Avenue", "direction":"NW"})""",
+
+                });
+
+    test_schema("additional properties can't override other properties",
+                R"""({
+            "properties": {
+                "a": {"type": "integer"},
+                "b": {"type": "integer"}
+            },
+            "additionalProperties": true
+        })""",
+                // Passing strings
+                {
+                    R"""({"a": 42})""",
+                    R"""({"c": ""})""",
+                    R"""({"a": 42, "c": ""})""",
+                    R"""({"a_": ""})""",
+                },
+                // Failing strings
+                {
+                    R"""()""",
+                    R"""({"a": ""})""",
+                    R"""({"a": "", "b": ""})""",
+                });
+
+    // Properties (from: https://json-schema.org/understanding-json-schema/reference/object#properties)
+    test_schema("object properties, additionalProperties: true",
+                // Schema
+                R"""({
+            "type": "object",
+            "properties": {
+                "number": { "type": "number" },
+                "street_name": { "type": "string" },
+                "street_type": { "enum": ["Street", "Avenue", "Boulevard"] }
+            },
+            "additionalProperties": true
+        })""",
+                // Passing strings
+                {
+                    // "By extension, even an empty object is valid"
+                    R"""({})""",
+                    R"""({"number":1600,"street_name":"Pennsylvania","street_type":"Avenue"})""",
+                    // "By default, leaving out properties is valid"
+                    R"""({ "street_name": "Pennsylvania" })""",
+                    R"""({ "number": 1600, "street_name": "Pennsylvania" })""",
+                    // "By default, providing additional properties is valid"
+                    R"""({ "number": 1600, "street_name": "Pennsylvania", "street_type":"Avenue", "direction":"NW"})""",
+                    R"""({ "number": 1600, "street_name": "Pennsylvania", "street_type": "Avenue" })""",
+                },
+                // Failing strings
+                {
+                    // Change datatype from number to string
+                    R"""({ "number": "1600", "street_name": "Pennsylvania", "street_type":"Avenue"})""",
+                    // Reorder properties
+                    R"""({ "street_name": "Pennsylvania", "number": 1600, "street_type":"Avenue"})""",
+                });
+
+    // Additional properties: false
+    test_schema(
+        "required + optional props each in original order",
+        // Schema
+        R"""({
+            "type": "object",
+            "properties": {
+                "number": { "type": "number" },
+                "street_name": { "type": "string" },
+                "street_type": { "enum": ["Street", "Avenue", "Boulevard"] }
+            },
+            "additionalProperties": false
+        })""",
+        // Passing strings
+        {
+            R"""({ "street_name": "Pennsylvania" })""",
+            R"""({ "number": 1600, "street_type":"Avenue"})""",
+            R"""({ "number": 1600, "street_name": "Pennsylvania" })""",
+            R"""({ "number": 1600, "street_name": "Pennsylvania", "street_type":"Avenue"})""",
+            // Spaces are permitted around enum values
+            R"""({ "number": 1600, "street_name": "Pennsylvania", "street_type": "Avenue" })""",
+        },
+        // Failing strings
+        {
+            // Reorder properties
+            R"""({ "street_type": "Avenue", "number": 1600 })""",
+            // Add "direction"
+            R"""({ "number": 1600, "street_name": "Pennsylvania", "street_type": "Avenue", "direction": "NW" })""",
+        });
+
+    test_schema("required + optional props each in original order",
+                // Schema
+                R"""({
+            "properties": {
+                "b": {"type": "string"},
+                "a": {"type": "string"},
+                "d": {"type": "string"},
+                "c": {"type": "string"}
+            },
+            "required": ["a", "b"],
+            "additionalProperties": false
+        })""",
+                // Passing strings
+                {
+                    R"""({"b": "foo", "a": "bar"})""",
+                    R"""({"b":"foo","a":"bar","d":"qux"})""",
+                    R"""({"b":"foo", "a":"bar", "d":"qux", "c":"baz"})""",
+                },
+                // Failing strings
+                {
+                    R"""({"a": "foo", "b": "bar"})""",
+                    R"""({"b": "bar"})""",
+                    R"""({"a": "foo", "c": "baz"})""",
+                    R"""({"a":"foo", "b":"bar", "c":"baz", "d":"qux"})""",
+                });
+
+    // NOTE: Example from https://json-schema.org/learn/getting-started-step-by-step#define-required-properties
+    test_schema(
+        "required props",
+        // Schema
+        R"""({
+            "$schema": "https://json-schema.org/draft/2020-12/schema",
+            "$id": "https://example.com/product.schema.json",
+            "title": "Product",
+            "description": "A product from Acme's catalog",
+            "type": "object",
+            "properties": {
+                "productId": {
+                "description": "The unique identifier for a product",
+                "type": "integer"
+                },
+                "productName": {
+                "description": "Name of the product",
+                "type": "string"
+                },
+                "price": {
+                "description": "The price of the product",
+                "type": "number",
+                "exclusiveMinimum": 0
+                },
+                "tags": {
+                "description": "Tags for the product",
+                "type": "array",
+                "items": {
+                    "type": "string"
+                },
+                "minItems": 1,
+                "DISABLED_uniqueItems": true
+                },
+                "dimensions": {
+                "type": "object",
+                "properties": {
+                    "length": {
+                    "type": "number"
+                    },
+                    "width": {
+                    "type": "number"
+                    },
+                    "height": {
+                    "type": "number"
+                    }
+                },
+                "required": [ "length", "width", "height" ]
+                }
+            },
+            "required": [ "productId", "productName", "price" ]
+        })""",
+        // Passing strings
+        {
+            R"""({"productId": 1, "productName": "A green door", "price": 12.50})""",
+            R"""({"productId": 1, "productName": "A green door", "price": 12.50, "tags": ["home", "green"]})""",
+            R"""({"productId": 1, "productName": "A green door", "price": 12.50, "tags": ["home", "green"], "dimensions": {"length": 785, "width": 250.5, "height": -0.359}})""",
+        },
+        // Failing strings
+        {
+            R"""({})""",  // Missing all required properties
+            R"""({"productName": "A green door", "price": 12.50, "productId": 1})""",  // Out of order properties
+            // `exclusiveMinimum` is OK for llg
+            R"""({"productId": 1, "productName": "A green door", "price": -12.50})""",
+            R"""({"productId": 1, "productName": "A green door"})""",  // Missing required property (price)
+            R"""({"productName": "A green door", "price": 12.50})""",  // Missing required property (productId)
+            R"""({"productId": 1, "productName": "A green door", "price": 12.50, "tags": []})""",  // tags is empty, but minItems is 1
+            R"""({"productId": 1, "productName": "A green door", "price": 12.50, "dimensions": {"length": 785, "width": 250.5, "height": -0.359}, "tags": ["home", "green"]})""",  // Tags and dimensions are out of order
+            // TODO: The following line should fail, but currently it passes. `uniqueItems` is not supported, as it would likely be too difficult to implement.
+            // R"""({"productId": 1, "productName": "A green door", "price": 12.50, "tags": ["home", "green", "home"]})""",
+        });
+}
+
+int main(int argc, const char ** argv) {
+    fprintf(stdout, "Running llguidance integration tests...\n");
+
+    if (argc != 2) {
+        fprintf(stderr, "Usage: %s <vocab-file>\n", argv[0]);
+        return 1;
+    }
+
+    const char * vocab_file = argv[1];
+
+    fprintf(stderr, "reading vocab from: '%s'\n", vocab_file);
+
+    llama_model *   model;
+    llama_context * ctx;
+
+    llama_backend_init();
+
+    // load the vocab
+    {
+        auto mparams = llama_model_default_params();
+
+        mparams.vocab_only = true;
+
+        model = llama_model_load_from_file(vocab_file, mparams);
+
+        if (model == NULL) {
+            fprintf(stderr, "%s: error: failed to load vocab '%s'\n", __func__, vocab_file);
+            return 1;
+        }
+
+        // needed?
+        auto cparams = llama_context_default_params();
+
+        ctx = llama_init_from_model(model, cparams);
+
+        if (ctx == NULL) {
+            fprintf(stderr, "%s: error: failed to load vocab '%s'\n", __func__, vocab_file);
+            llama_model_free(model);
+            return 1;
+        }
+    }
+
+    vocab = llama_model_get_vocab(model);
+
+    test_simple_grammar();
+    test_complex_grammar();
+    test_special_chars();
+    test_quantifiers();
+    test_json_schema();
+    fprintf(stdout, "All tests passed.\n");
+    return 0;
+}
diff --git a/tests/test-json-partial.cpp b/tests/test-json-partial.cpp
new file mode 100644
index 000000000..bc136bece
--- /dev/null
+++ b/tests/test-json-partial.cpp
@@ -0,0 +1,237 @@
+#include "common.h"
+#include "json-partial.h"
+#include <exception>
+#include <iostream>
+#include <stdexcept>
+
+template <class T> static void assert_equals(const T & expected, const T & actual) {
+  if (expected != actual) {
+      std::cerr << "Expected: " << expected << std::endl;
+      std::cerr << "Actual: " << actual << std::endl;
+      std::cerr << std::flush;
+      throw std::runtime_error("Test failed");
+  }
+}
+
+static void test_json_healing() {
+  auto parse = [](const std::string & str) {
+      std::cerr << "# Parsing: " << str << '\n';
+      std::string::const_iterator it = str.begin();
+      const auto end = str.end();
+      common_json out;
+      std::string healing_marker = "$llama.cpp.json$";
+      if (common_json_parse(it, end, healing_marker, out)) {
+          auto dump = out.json.dump();
+          std::cerr << "Parsed: " << dump << '\n';
+          std::cerr << "Magic: " << out.healing_marker.json_dump_marker << '\n';
+          std::string result;
+          if (!out.healing_marker.json_dump_marker.empty()) {
+              auto i = dump.find(out.healing_marker.json_dump_marker);
+              if (i == std::string::npos) {
+                  throw std::runtime_error("Failed to find magic in dump " + dump + " (magic: " + out.healing_marker.json_dump_marker + ")");
+              }
+              result = dump.substr(0, i);
+          } else {
+            result = dump;
+          }
+          std::cerr << "Result: " << result << '\n';
+          if (string_starts_with(str, result)) {
+            std::cerr << "Failure!\n";
+          }
+        //   return dump;
+      } else {
+        throw std::runtime_error("Failed to parse: " + str);
+      }
+
+  };
+  auto parse_all = [&](const std::string & str) {
+      for (size_t i = 1; i < str.size(); i++) {
+          parse(str.substr(0, i));
+      }
+  };
+  parse_all("{\"a\": \"b\"}");
+  parse_all("{\"hey\": 1, \"ho\\\"ha\": [1]}");
+
+  parse_all("[{\"a\": \"b\"}]");
+
+  auto test = [&](const std::vector<std::string> & inputs, const std::string & expected, const std::string & expected_marker) {
+      for (const auto & input : inputs) {
+        common_json out;
+        assert_equals(true, common_json_parse(input, "$foo", out));
+        assert_equals<std::string>(expected, out.json.dump());
+        assert_equals<std::string>(expected_marker, out.healing_marker.json_dump_marker);
+      }
+  };
+  // No healing needed:
+  test(
+    {
+      R"([{"a":"b"}, "y"])",
+    },
+    R"([{"a":"b"},"y"])",
+    ""
+  );
+  // Partial literals can't be healed:
+  test(
+    {
+      R"([1)",
+      R"([tru)",
+      R"([n)",
+      R"([nul)",
+      R"([23.2)",
+    },
+    R"(["$foo"])",
+    R"("$foo)"
+  );
+  test(
+    {
+      R"({"a": 1)",
+      R"({"a": tru)",
+      R"({"a": n)",
+      R"({"a": nul)",
+      R"({"a": 23.2)",
+    },
+    R"({"a":"$foo"})",
+    R"("$foo)"
+  );
+  test(
+    {
+      R"({)",
+    },
+    R"({"$foo":1})",
+    R"("$foo)"
+  );
+  test(
+    {
+      R"([)",
+    },
+    R"(["$foo"])",
+    R"("$foo)"
+  );
+  // Healing right after a full literal
+  test(
+    {
+      R"(1 )",
+    },
+    R"(1)",
+    ""
+  );
+  test(
+    {
+      R"(true)",
+      R"(true )",
+    },
+    R"(true)",
+    ""
+  );
+  test(
+    {
+      R"(null)",
+      R"(null )",
+    },
+    R"(null)",
+    ""
+  );
+  test(
+    {
+      R"([1 )",
+    },
+    R"([1,"$foo"])",
+    R"(,"$foo)"
+  );
+  test(
+    {
+      R"([{})",
+      R"([{} )",
+    },
+    R"([{},"$foo"])",
+    R"(,"$foo)"
+  );
+  test(
+    {
+      R"([true)",
+    },
+    // TODO: detect the true/false/null literal was complete
+    R"(["$foo"])",
+    R"("$foo)"
+  );
+  test(
+    {
+      R"([true )",
+    },
+    R"([true,"$foo"])",
+    R"(,"$foo)"
+  );
+  test(
+    {
+      R"([true,)",
+    },
+    R"([true,"$foo"])",
+    R"("$foo)"
+  );
+  // Test nesting
+  test(
+    {
+      R"([{"a": [{"b": [{)",
+    },
+    R"([{"a":[{"b":[{"$foo":1}]}]}])",
+    R"("$foo)"
+  );
+  test(
+    {
+      R"([{"a": [{"b": [)",
+    },
+    R"([{"a":[{"b":["$foo"]}]}])",
+    R"("$foo)"
+  );
+
+  test(
+    {
+      R"([{"a": "b"})",
+      R"([{"a": "b"} )",
+    },
+    R"([{"a":"b"},"$foo"])",
+    R"(,"$foo)"
+  );
+  test(
+    {
+      R"([{"a": "b"},)",
+      R"([{"a": "b"}, )",
+    },
+    R"([{"a":"b"},"$foo"])",
+    R"("$foo)"
+  );
+  test(
+    {
+      R"({ "code)",
+    },
+    R"({"code$foo":1})",
+    R"($foo)"
+  );
+  test(
+    {
+      R"({ "code\)",
+    },
+    R"({"code\\$foo":1})",
+    R"(\$foo)"
+  );
+  test(
+    {
+      R"({ "code")",
+    },
+    R"({"code":"$foo"})",
+    R"(:"$foo)"
+  );
+  test(
+    {
+      R"({ "key")",
+    },
+    R"({"key":"$foo"})",
+    R"(:"$foo)"
+  );
+}
+
+int main() {
+    test_json_healing();
+    std::cerr << "All tests passed.\n";
+    return 0;
+}
diff --git a/tests/test-json-schema-to-grammar.cpp b/tests/test-json-schema-to-grammar.cpp
index 65486ac5c..53474e0eb 100755
--- a/tests/test-json-schema-to-grammar.cpp
+++ b/tests/test-json-schema-to-grammar.cpp
@@ -1231,7 +1231,7 @@ int main() {
 
     test_all("C++", [](const TestCase & tc) {
         try {
-            tc.verify(json_schema_to_grammar(nlohmann::ordered_json::parse(tc.schema)));
+            tc.verify(json_schema_to_grammar(nlohmann::ordered_json::parse(tc.schema), true));
             tc.verify_status(SUCCESS);
         } catch (const std::runtime_error & ex) {
             fprintf(stderr, "Error: %s\n", ex.what());
diff --git a/tests/test-regex-partial.cpp b/tests/test-regex-partial.cpp
new file mode 100644
index 000000000..ffad18978
--- /dev/null
+++ b/tests/test-regex-partial.cpp
@@ -0,0 +1,288 @@
+//  Tests common_regex (esp. its partial final matches support).
+
+#include "common.h"
+#include "regex-partial.h"
+
+#include <sstream>
+#include <iostream>
+#include <optional>
+
+template <class T> static void assert_equals(const T & expected, const T & actual) {
+    if (expected != actual) {
+        std::cerr << "Expected: " << expected << std::endl;
+        std::cerr << "  Actual: " << actual << std::endl;
+        std::cerr << std::flush;
+        throw std::runtime_error("Test failed");
+    }
+}
+
+struct test_case {
+    std::string pattern;
+    struct input_output {
+        std::string input;
+        common_regex_match output;
+    };
+    std::vector<input_output> inputs_outputs;
+};
+
+static std::string common_regex_match_type_name(common_regex_match_type type) {
+    switch (type) {
+        case COMMON_REGEX_MATCH_TYPE_NONE:
+            return "COMMON_REGEX_MATCH_TYPE_NONE";
+        case COMMON_REGEX_MATCH_TYPE_PARTIAL:
+            return "COMMON_REGEX_MATCH_TYPE_PARTIAL";
+        case COMMON_REGEX_MATCH_TYPE_FULL:
+            return "COMMON_REGEX_MATCH_TYPE_FULL";
+    }
+    return "?";
+}
+
+static void test_regex() {
+    printf("[%s]\n", __func__);
+    auto test = [](const test_case & test_case) {
+        common_regex cr(test_case.pattern);
+        std::cout << "Testing pattern: /" << test_case.pattern << "/\n";
+        // std::cout << "    partial rev: " << cr.reversed_partial_pattern.str() << '\n';
+        for (const auto & input_output : test_case.inputs_outputs) {
+            std::cout << "  Input: " << input_output.input << '\n';
+            auto m = cr.search(input_output.input, 0);
+            if (m != input_output.output) {
+                auto match_to_str = [&](const std::optional<common_regex_match> & m) {
+                    std::ostringstream ss;
+                    if (m->type == COMMON_REGEX_MATCH_TYPE_NONE) {
+                        ss << "<no match>";
+                    } else {
+                        GGML_ASSERT(!input_output.output.groups.empty());
+                        std::vector<std::string> parts;
+                        for (const auto & g : m->groups) {
+                            parts.push_back("{" + std::to_string(g.begin) + ", " + std::to_string(g.end) + "}");
+                        }
+                        ss << "{" << common_regex_match_type_name(m->type) << ", {" << string_join(parts, ", ") << "}}";
+                    }
+                    return ss.str();
+                };
+                std::cout << "    Expected: " << match_to_str(input_output.output) << '\n';
+                std::cout << "         Got: " << match_to_str(m) << '\n';
+                std::cout << " Inverted pattern: /" << regex_to_reversed_partial_regex(test_case.pattern) << "/\n";
+
+                throw std::runtime_error("Test failed");
+            }
+        }
+    };
+    test({
+        "a",
+        {
+            {"a", {COMMON_REGEX_MATCH_TYPE_FULL, {{0, 1}}}},
+            {"b", {COMMON_REGEX_MATCH_TYPE_NONE, {}}},
+            {"ab", {COMMON_REGEX_MATCH_TYPE_FULL, {{0, 1}}}},
+            {"ba", {COMMON_REGEX_MATCH_TYPE_FULL, {{1, 2}}}},
+        }
+    });
+    test({
+        "abcd",
+        {
+            {"abcd", {COMMON_REGEX_MATCH_TYPE_FULL, {{0, 4}}}},
+            {"abcde", {COMMON_REGEX_MATCH_TYPE_FULL, {{0, 4}}}},
+            {"abc", {COMMON_REGEX_MATCH_TYPE_PARTIAL, {{0, 3}}}},
+            {"ab", {COMMON_REGEX_MATCH_TYPE_PARTIAL, {{0, 2}}}},
+            {"a", {COMMON_REGEX_MATCH_TYPE_PARTIAL, {{0, 1}}}},
+            {"d", {}},
+            {"bcd", {}},
+            {"cde", {}},
+            {"cd", {}},
+            {"yeah ab", {COMMON_REGEX_MATCH_TYPE_PARTIAL, {{5, 7}}}},
+            {"abbie", {}},
+            {"", {}},
+        }
+    });
+    test({
+        ".*?ab",
+        {
+            {"ab", {COMMON_REGEX_MATCH_TYPE_FULL, {{0, 2}}}},
+            {"abc", {COMMON_REGEX_MATCH_TYPE_FULL, {{0, 2}}}},
+            {"dab", {COMMON_REGEX_MATCH_TYPE_FULL, {{0, 3}}}},
+            {"dabc", {COMMON_REGEX_MATCH_TYPE_FULL, {{0, 3}}}},
+            {"da", {COMMON_REGEX_MATCH_TYPE_PARTIAL, {{0, 2}}}},
+            {"d", {COMMON_REGEX_MATCH_TYPE_PARTIAL, {{0, 1}}}},
+        }
+    });
+    test({
+        "a.*?b",
+        {
+            {"ab", {COMMON_REGEX_MATCH_TYPE_FULL, {{0, 2}}}},
+            {"abc", {COMMON_REGEX_MATCH_TYPE_FULL, {{0, 2}}}},
+            {"a b", {COMMON_REGEX_MATCH_TYPE_FULL, {{0, 3}}}},
+            {"a", {COMMON_REGEX_MATCH_TYPE_PARTIAL, {{0, 1}}}},
+            {"argh", {COMMON_REGEX_MATCH_TYPE_PARTIAL, {{0, 4}}}},
+            {"d", {}},
+            {"b", {}},
+        }
+    });
+    test({
+        "ab(?:cd){2,4}ef",
+        {
+            // {"ab", {COMMON_REGEX_MATCH_TYPE_PARTIAL, 0, {}}},
+            {"ab", {COMMON_REGEX_MATCH_TYPE_PARTIAL, {{0, 2}}}},
+            {"abcd", {COMMON_REGEX_MATCH_TYPE_PARTIAL, {{0, 4}}}},
+            {"abcde", {}},
+            {"abcdef", {}},
+            {"abcdcd", {COMMON_REGEX_MATCH_TYPE_PARTIAL, {{0, 6}}}},
+            {"abcdcde", {COMMON_REGEX_MATCH_TYPE_PARTIAL, {{0, 7}}}},
+            {"abcdcdef", {COMMON_REGEX_MATCH_TYPE_FULL, {{0, 8}}}},
+            {"abcdcdcdcdef", {COMMON_REGEX_MATCH_TYPE_FULL, {{0, 12}}}},
+            {"abcdcdcdcdcdef", {}},
+            {"abcde", {}},
+            {"yea", {COMMON_REGEX_MATCH_TYPE_PARTIAL, {{2, 3}}}},
+        }
+    });
+    test({
+        "a(?:rte| pure )fact",
+        {
+            {"a", {COMMON_REGEX_MATCH_TYPE_PARTIAL, {{0, 1}}}},
+            {"art", {COMMON_REGEX_MATCH_TYPE_PARTIAL, {{0, 3}}}},
+            {"artefa", {COMMON_REGEX_MATCH_TYPE_PARTIAL, {{0, 6}}}},
+            {"fact", {}},
+            {"an arte", {COMMON_REGEX_MATCH_TYPE_PARTIAL, {{3, 7}}}},
+            {"artefact", {COMMON_REGEX_MATCH_TYPE_FULL, {{0, 8}}}},
+            {"an artefact", {COMMON_REGEX_MATCH_TYPE_FULL, {{3, 11}}}},
+            {"a pure", {COMMON_REGEX_MATCH_TYPE_PARTIAL, {{0, 6}}}},
+            {"a pure fact", {COMMON_REGEX_MATCH_TYPE_FULL, {{0, 11}}}},
+            {"it's a pure fact", {COMMON_REGEX_MATCH_TYPE_FULL, {{5, 16}}}},
+            {"" , {}},
+            {"pure", {}},
+            {"pure fact", {}},
+        }
+    });
+    test({
+        "abc",
+        {
+            {" abcc", {COMMON_REGEX_MATCH_TYPE_FULL, {{1, 4}}}},
+            {"ab", {COMMON_REGEX_MATCH_TYPE_PARTIAL, {{0, 2}}}},
+            {"abc", {COMMON_REGEX_MATCH_TYPE_FULL, {{0, 3}}}},
+            {" ab", {COMMON_REGEX_MATCH_TYPE_PARTIAL, {{1, 3}}}},
+            {"a", {COMMON_REGEX_MATCH_TYPE_PARTIAL, {{0, 1}}}},
+            {"b", {}},
+            {"c", {}},
+            {"", {}},
+        }
+    });
+
+    test({
+        "(?:abc)?\\s*def",
+        {
+            {"ab", {COMMON_REGEX_MATCH_TYPE_PARTIAL, {{0, 2}}}},
+            {"abc", {COMMON_REGEX_MATCH_TYPE_PARTIAL, {{0, 3}}}},
+            {"abc ", {COMMON_REGEX_MATCH_TYPE_PARTIAL, {{0, 4}}}},
+            {"abc d", {COMMON_REGEX_MATCH_TYPE_PARTIAL, {{0, 5}}}},
+            {"abc de", {COMMON_REGEX_MATCH_TYPE_PARTIAL, {{0, 6}}}},
+            {"abc def", {COMMON_REGEX_MATCH_TYPE_FULL, {{0, 7}}}},
+            {"abc defg", {COMMON_REGEX_MATCH_TYPE_FULL, {{0, 7}}}},
+            {"abc defgh", {COMMON_REGEX_MATCH_TYPE_FULL, {{0, 7}}}},
+            {"abcde", {COMMON_REGEX_MATCH_TYPE_PARTIAL, {{0, 5}}}},
+            {"abcdefgh", {COMMON_REGEX_MATCH_TYPE_FULL, {{0, 6}}}},
+            {" d", {COMMON_REGEX_MATCH_TYPE_PARTIAL, {{0, 2}}}},
+            {"def", {COMMON_REGEX_MATCH_TYPE_FULL, {{0, 3}}}},
+        }
+    });
+
+    test({
+        "a+b",
+        {
+            {"aaab", {COMMON_REGEX_MATCH_TYPE_FULL, {{0, 4}}}},
+            {"aaa", {COMMON_REGEX_MATCH_TYPE_PARTIAL, {{0, 3}}}},
+            {"ab", {COMMON_REGEX_MATCH_TYPE_FULL, {{0, 2}}}},
+        }
+    });
+
+    test({
+        "(?:"
+            "(```(?:xml|json)?\\n\\s*)?" // match 1 (block_start)
+            "("                          // match 2 (open_tag)
+                "<tool_call>"
+                "|<function_call>"
+                "|<tool>"
+                "|<tools>"
+                "|<response>"
+                "|<json>"
+                "|<xml>"
+                "|<JSON>"
+            ")?"
+            "(\\s*\\{\\s*\"name\"\\s*:)" // match 3 (named tool call)
+        ")"
+        "|<function=([^>]+)>"            // match 4 (function name)
+        "|<function name=\"([^\"]+)\">", // match 5 (function name again)
+        {
+            {"{\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}", {COMMON_REGEX_MATCH_TYPE_FULL, {{0, 8}, {54, 54}, {54, 54}, {0, 8}, {54, 54}, {54, 54}}}},
+            {"<tool_call> {\"name", {COMMON_REGEX_MATCH_TYPE_PARTIAL, {{0, 18}}}},
+            {"<tool_call>{\"name", {COMMON_REGEX_MATCH_TYPE_PARTIAL, {{0, 17}}}},
+            {"Let's call something\n<tool_call>{\"name", {COMMON_REGEX_MATCH_TYPE_PARTIAL, {{21, 38}}}},
+            {"Ok then<tool_call>{\"name", {COMMON_REGEX_MATCH_TYPE_PARTIAL, {{7, 24}}}},
+            {"{\"name", {COMMON_REGEX_MATCH_TYPE_PARTIAL, {{0, 6}}}},
+            {"Ok then{\"name", {COMMON_REGEX_MATCH_TYPE_PARTIAL, {{7, 13}}}},
+            {"<tool_call> {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}", {COMMON_REGEX_MATCH_TYPE_FULL, {{0, 20}, {66, 66}, {0, 11}, {11, 20}, {66, 66}, {66, 66}}}},
+            {"<function_call> {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}", {COMMON_REGEX_MATCH_TYPE_FULL, {{0, 24}, {70, 70}, {0, 15}, {15, 24}, {70, 70}, {70, 70}}}},
+            {"<function name=\"special_function\"> {\"name\": \"special_function\", \"arguments\": {\"arg1\": 1}}", {COMMON_REGEX_MATCH_TYPE_FULL, {{0, 34}, {89, 89}, {89, 89}, {89, 89}, {89, 89}, {16, 32}}}},
+            {"<function=all>", {COMMON_REGEX_MATCH_TYPE_FULL, {{0, 14}, {14, 14}, {14, 14}, {14, 14}, {10, 13}, {14, 14}}}},
+
+        }
+    });
+}
+
+static void test_regex_to_reversed_partial_regex() {
+    printf("[%s]\n", __func__);
+
+    assert_equals<std::string>(
+        "((?:(?:c)?b)?a)[\\s\\S]*",
+        regex_to_reversed_partial_regex("abc"));
+
+    assert_equals<std::string>(
+        "(a+)[\\s\\S]*",
+        regex_to_reversed_partial_regex("a+"));
+
+    assert_equals<std::string>(
+        "(a*)[\\s\\S]*",
+        regex_to_reversed_partial_regex("a*"));
+
+    assert_equals<std::string>(
+        "(a?)[\\s\\S]*",
+        regex_to_reversed_partial_regex("a?"));
+
+    assert_equals<std::string>(
+        "([a-z])[\\s\\S]*",
+        regex_to_reversed_partial_regex("[a-z]"));
+
+    assert_equals<std::string>(
+        "((?:\\w+)?[a-z])[\\s\\S]*",
+        regex_to_reversed_partial_regex("[a-z]\\w+"));
+
+    assert_equals<std::string>(
+        "((?:a|b))[\\s\\S]*",
+        regex_to_reversed_partial_regex("(?:a|b)"));
+    assert_equals<std::string>(
+        "((?:(?:(?:d)?c)?b)?a)[\\s\\S]*",
+        regex_to_reversed_partial_regex("abcd"));
+    assert_equals<std::string>(
+        "((?:b)?a*)[\\s\\S]*", // TODO: ((?:b)?a*+).* ??
+        regex_to_reversed_partial_regex("a*b"));
+    assert_equals<std::string>(
+        "((?:(?:b)?a)?.*)[\\s\\S]*",
+        regex_to_reversed_partial_regex(".*?ab"));
+    assert_equals<std::string>(
+        "((?:(?:b)?.*)?a)[\\s\\S]*",
+        regex_to_reversed_partial_regex("a.*?b"));
+    assert_equals<std::string>(
+        "((?:(?:d)?(?:(?:c)?b))?a)[\\s\\S]*",
+        regex_to_reversed_partial_regex("a(bc)d"));
+    assert_equals<std::string>(
+        "((?:(?:(?:c)?b|(?:e)?d))?a)[\\s\\S]*",
+        regex_to_reversed_partial_regex("a(bc|de)"));
+    assert_equals<std::string>(
+        "((?:(?:(?:(?:(?:c)?b?)?b?)?b)?b)?a)[\\s\\S]*",
+        regex_to_reversed_partial_regex("ab{2,4}c"));
+}
+
+int main() {
+    test_regex_to_reversed_partial_regex();
+    test_regex();
+    std::cout << "All tests passed.\n";
+}
diff --git a/tools/server/tests/unit/test_chat_completion.py b/tools/server/tests/unit/test_chat_completion.py
new file mode 100644
index 000000000..a9c37ec96
--- /dev/null
+++ b/tools/server/tests/unit/test_chat_completion.py
@@ -0,0 +1,335 @@
+import pytest
+from openai import OpenAI
+from utils import *
+
+server: ServerProcess
+
+@pytest.fixture(autouse=True)
+def create_server():
+    global server
+    server = ServerPreset.tinyllama2()
+
+
+@pytest.mark.parametrize(
+    "model,system_prompt,user_prompt,max_tokens,re_content,n_prompt,n_predicted,finish_reason,jinja,chat_template",
+    [
+        (None, "Book", "Hey", 8, "But she couldn't", 69, 8, "length", False, None),
+        (None, "Book", "Hey", 8, "But she couldn't", 69, 8, "length", True, None),
+        (None, "Book", "What is the best book", 8, "(Suddenly)+|\\{ \" Sarax.", 77, 8, "length", False, None),
+        (None, "Book", "What is the best book", 8, "(Suddenly)+|\\{ \" Sarax.", 77, 8, "length", True,  None),
+        (None, "Book", "What is the best book", 8, "(Suddenly)+|\\{ \" Sarax.", 77, 8, "length", True, 'chatml'),
+        (None, "Book", "What is the best book", 8, "^ blue",                    23, 8, "length", True, "This is not a chat template, it is"),
+        ("codellama70b", "You are a coding assistant.", "Write the fibonacci function in c++.", 128, "(Aside|she|felter|alonger)+", 104, 64, "length", False, None),
+        ("codellama70b", "You are a coding assistant.", "Write the fibonacci function in c++.", 128, "(Aside|she|felter|alonger)+", 104, 64, "length", True, None),
+        (None, "Book", [{"type": "text", "text": "What is"}, {"type": "text", "text": "the best book"}], 8, "Whillicter", 79, 8, "length", False, None),
+        (None, "Book", [{"type": "text", "text": "What is"}, {"type": "text", "text": "the best book"}], 8, "Whillicter", 79, 8, "length", True, None),
+    ]
+)
+def test_chat_completion(model, system_prompt, user_prompt, max_tokens, re_content, n_prompt, n_predicted, finish_reason, jinja, chat_template):
+    global server
+    server.jinja = jinja
+    server.chat_template = chat_template
+    server.start()
+    res = server.make_request("POST", "/chat/completions", data={
+        "model": model,
+        "max_tokens": max_tokens,
+        "messages": [
+            {"role": "system", "content": system_prompt},
+            {"role": "user", "content": user_prompt},
+        ],
+    })
+    assert res.status_code == 200
+    assert "cmpl" in res.body["id"] # make sure the completion id has the expected format
+    assert res.body["system_fingerprint"].startswith("b")
+    assert res.body["model"] == model if model is not None else server.model_alias
+    assert res.body["usage"]["prompt_tokens"] == n_prompt
+    assert res.body["usage"]["completion_tokens"] == n_predicted
+    choice = res.body["choices"][0]
+    assert "assistant" == choice["message"]["role"]
+    assert match_regex(re_content, choice["message"]["content"]), f'Expected {re_content}, got {choice["message"]["content"]}'
+    assert choice["finish_reason"] == finish_reason
+
+
+@pytest.mark.parametrize(
+    "system_prompt,user_prompt,max_tokens,re_content,n_prompt,n_predicted,finish_reason",
+    [
+        ("Book", "What is the best book", 8, "(Suddenly)+", 77, 8, "length"),
+        ("You are a coding assistant.", "Write the fibonacci function in c++.", 128, "(Aside|she|felter|alonger)+", 104, 64, "length"),
+    ]
+)
+def test_chat_completion_stream(system_prompt, user_prompt, max_tokens, re_content, n_prompt, n_predicted, finish_reason):
+    global server
+    server.model_alias = None # try using DEFAULT_OAICOMPAT_MODEL
+    server.start()
+    res = server.make_stream_request("POST", "/chat/completions", data={
+        "max_tokens": max_tokens,
+        "messages": [
+            {"role": "system", "content": system_prompt},
+            {"role": "user", "content": user_prompt},
+        ],
+        "stream": True,
+    })
+    content = ""
+    last_cmpl_id = None
+    for i, data in enumerate(res):
+        if data["choices"]:
+            choice = data["choices"][0]
+            if i == 0:
+                # Check first role message for stream=True
+                assert choice["delta"]["content"] is None
+                assert choice["delta"]["role"] == "assistant"
+            else:
+                assert "role" not in choice["delta"]
+            assert data["system_fingerprint"].startswith("b")
+            assert "gpt-3.5" in data["model"] # DEFAULT_OAICOMPAT_MODEL, maybe changed in the future
+            if last_cmpl_id is None:
+                last_cmpl_id = data["id"]
+            assert last_cmpl_id == data["id"] # make sure the completion id is the same for all events in the stream
+            if choice["finish_reason"] in ["stop", "length"]:
+                assert "content" not in choice["delta"]
+                assert match_regex(re_content, content)
+                assert choice["finish_reason"] == finish_reason
+            else:
+                assert choice["finish_reason"] is None
+                content += choice["delta"]["content"] or ''
+        else:
+            assert data["usage"]["prompt_tokens"] == n_prompt
+            assert data["usage"]["completion_tokens"] == n_predicted
+
+
+def test_chat_completion_with_openai_library():
+    global server
+    server.start()
+    client = OpenAI(api_key="dummy", base_url=f"http://{server.server_host}:{server.server_port}/v1")
+    res = client.chat.completions.create(
+        model="gpt-3.5-turbo-instruct",
+        messages=[
+            {"role": "system", "content": "Book"},
+            {"role": "user", "content": "What is the best book"},
+        ],
+        max_tokens=8,
+        seed=42,
+        temperature=0.8,
+    )
+    assert res.system_fingerprint is not None and res.system_fingerprint.startswith("b")
+    assert res.choices[0].finish_reason == "length"
+    assert res.choices[0].message.content is not None
+    assert match_regex("(Suddenly)+", res.choices[0].message.content)
+
+
+def test_chat_template():
+    global server
+    server.chat_template = "llama3"
+    server.debug = True  # to get the "__verbose" object in the response
+    server.start()
+    res = server.make_request("POST", "/chat/completions", data={
+        "max_tokens": 8,
+        "messages": [
+            {"role": "system", "content": "Book"},
+            {"role": "user", "content": "What is the best book"},
+        ]
+    })
+    assert res.status_code == 200
+    assert "__verbose" in res.body
+    assert res.body["__verbose"]["prompt"] == "<s> <|start_header_id|>system<|end_header_id|>\n\nBook<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nWhat is the best book<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n"
+
+
+def test_apply_chat_template():
+    global server
+    server.chat_template = "command-r"
+    server.start()
+    res = server.make_request("POST", "/apply-template", data={
+        "messages": [
+            {"role": "system", "content": "You are a test."},
+            {"role": "user", "content":"Hi there"},
+        ]
+    })
+    assert res.status_code == 200
+    assert "prompt" in res.body
+    assert res.body["prompt"] == "<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>You are a test.<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|USER_TOKEN|>Hi there<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>"
+
+
+@pytest.mark.parametrize("response_format,n_predicted,re_content", [
+    ({"type": "json_object", "schema": {"const": "42"}}, 6, "\"42\""),
+    ({"type": "json_object", "schema": {"items": [{"type": "integer"}]}}, 10, "[ -3000 ]"),
+    ({"type": "json_schema", "json_schema": {"schema": {"const": "foooooo"}}}, 10, "\"foooooo\""),
+    ({"type": "json_object"}, 10, "(\\{|John)+"),
+    ({"type": "sound"}, 0, None),
+    # invalid response format (expected to fail)
+    ({"type": "json_object", "schema": 123}, 0, None),
+    ({"type": "json_object", "schema": {"type": 123}}, 0, None),
+    ({"type": "json_object", "schema": {"type": "hiccup"}}, 0, None),
+])
+def test_completion_with_response_format(response_format: dict, n_predicted: int, re_content: str | None):
+    global server
+    server.start()
+    res = server.make_request("POST", "/chat/completions", data={
+        "max_tokens": n_predicted,
+        "messages": [
+            {"role": "system", "content": "You are a coding assistant."},
+            {"role": "user", "content": "Write an example"},
+        ],
+        "response_format": response_format,
+    })
+    if re_content is not None:
+        assert res.status_code == 200
+        choice = res.body["choices"][0]
+        assert match_regex(re_content, choice["message"]["content"])
+    else:
+        assert res.status_code != 200
+        assert "error" in res.body
+
+
+@pytest.mark.parametrize("jinja,json_schema,n_predicted,re_content", [
+    (False, {"const": "42"}, 6, "\"42\""),
+    (True, {"const": "42"}, 6, "\"42\""),
+])
+def test_completion_with_json_schema(jinja: bool, json_schema: dict, n_predicted: int, re_content: str):
+    global server
+    server.jinja = jinja
+    server.start()
+    res = server.make_request("POST", "/chat/completions", data={
+        "max_tokens": n_predicted,
+        "messages": [
+            {"role": "system", "content": "You are a coding assistant."},
+            {"role": "user", "content": "Write an example"},
+        ],
+        "json_schema": json_schema,
+    })
+    assert res.status_code == 200, f'Expected 200, got {res.status_code}'
+    choice = res.body["choices"][0]
+    assert match_regex(re_content, choice["message"]["content"]), f'Expected {re_content}, got {choice["message"]["content"]}'
+
+
+@pytest.mark.parametrize("jinja,grammar,n_predicted,re_content", [
+    (False, 'root ::= "a"{5,5}', 6, "a{5,5}"),
+    (True, 'root ::= "a"{5,5}', 6, "a{5,5}"),
+])
+def test_completion_with_grammar(jinja: bool, grammar: str, n_predicted: int, re_content: str):
+    global server
+    server.jinja = jinja
+    server.start()
+    res = server.make_request("POST", "/chat/completions", data={
+        "max_tokens": n_predicted,
+        "messages": [
+            {"role": "user", "content": "Does not matter what I say, does it?"},
+        ],
+        "grammar": grammar,
+    })
+    assert res.status_code == 200, res.body
+    choice = res.body["choices"][0]
+    assert match_regex(re_content, choice["message"]["content"]), choice["message"]["content"]
+
+
+@pytest.mark.parametrize("messages", [
+    None,
+    "string",
+    [123],
+    [{}],
+    [{"role": 123}],
+    [{"role": "system", "content": 123}],
+    # [{"content": "hello"}], # TODO: should not be a valid case
+    [{"role": "system", "content": "test"}, {}],
+])
+def test_invalid_chat_completion_req(messages):
+    global server
+    server.start()
+    res = server.make_request("POST", "/chat/completions", data={
+        "messages": messages,
+    })
+    assert res.status_code == 400 or res.status_code == 500
+    assert "error" in res.body
+
+
+def test_chat_completion_with_timings_per_token():
+    global server
+    server.start()
+    res = server.make_stream_request("POST", "/chat/completions", data={
+        "max_tokens": 10,
+        "messages": [{"role": "user", "content": "test"}],
+        "stream": True,
+        "timings_per_token": True,
+    })
+    for i, data in enumerate(res):
+        if i == 0:
+            # Check first role message for stream=True
+            assert data["choices"][0]["delta"]["content"] is None
+            assert data["choices"][0]["delta"]["role"] == "assistant"
+            assert "timings" not in data, f'First event should not have timings: {data}'
+        else:
+            if data["choices"]:
+                assert "role" not in data["choices"][0]["delta"]
+            else:
+                assert "timings" in data
+                assert "prompt_per_second" in data["timings"]
+                assert "predicted_per_second" in data["timings"]
+                assert "predicted_n" in data["timings"]
+                assert data["timings"]["predicted_n"] <= 10
+
+
+def test_logprobs():
+    global server
+    server.start()
+    client = OpenAI(api_key="dummy", base_url=f"http://{server.server_host}:{server.server_port}/v1")
+    res = client.chat.completions.create(
+        model="gpt-3.5-turbo-instruct",
+        temperature=0.0,
+        messages=[
+            {"role": "system", "content": "Book"},
+            {"role": "user", "content": "What is the best book"},
+        ],
+        max_tokens=5,
+        logprobs=True,
+        top_logprobs=10,
+    )
+    output_text = res.choices[0].message.content
+    aggregated_text = ''
+    assert res.choices[0].logprobs is not None
+    assert res.choices[0].logprobs.content is not None
+    for token in res.choices[0].logprobs.content:
+        aggregated_text += token.token
+        assert token.logprob <= 0.0
+        assert token.bytes is not None
+        assert len(token.top_logprobs) > 0
+    assert aggregated_text == output_text
+
+
+def test_logprobs_stream():
+    global server
+    server.start()
+    client = OpenAI(api_key="dummy", base_url=f"http://{server.server_host}:{server.server_port}/v1")
+    res = client.chat.completions.create(
+        model="gpt-3.5-turbo-instruct",
+        temperature=0.0,
+        messages=[
+            {"role": "system", "content": "Book"},
+            {"role": "user", "content": "What is the best book"},
+        ],
+        max_tokens=5,
+        logprobs=True,
+        top_logprobs=10,
+        stream=True,
+    )
+    output_text = ''
+    aggregated_text = ''
+    for i, data in enumerate(res):
+        if data.choices:
+            choice = data.choices[0]
+            if i == 0:
+                # Check first role message for stream=True
+                assert choice.delta.content is None
+                assert choice.delta.role == "assistant"
+            else:
+                assert choice.delta.role is None
+                if choice.finish_reason is None:
+                    if choice.delta.content:
+                        output_text += choice.delta.content
+                    assert choice.logprobs is not None
+                    assert choice.logprobs.content is not None
+                    for token in choice.logprobs.content:
+                        aggregated_text += token.token
+                        assert token.logprob <= 0.0
+                        assert token.bytes is not None
+                        assert token.top_logprobs is not None
+                        assert len(token.top_logprobs) > 0
+    assert aggregated_text == output_text
diff --git a/tools/server/tests/unit/test_completion.py b/tools/server/tests/unit/test_completion.py
new file mode 100644
index 000000000..f6909e9ae
--- /dev/null
+++ b/tools/server/tests/unit/test_completion.py
@@ -0,0 +1,464 @@
+import pytest
+import requests
+import time
+from openai import OpenAI
+from utils import *
+
+server = ServerPreset.tinyllama2()
+
+
+@pytest.fixture(scope="module", autouse=True)
+def create_server():
+    global server
+    server = ServerPreset.tinyllama2()
+
+@pytest.mark.parametrize("prompt,n_predict,re_content,n_prompt,n_predicted,truncated,return_tokens", [
+    ("I believe the meaning of life is", 8, "(going|bed)+", 18, 8, False, False),
+    ("Write a joke about AI from a very long prompt which will not be truncated", 256, "(princesses|everyone|kids|Anna|forest)+", 46, 64, False, True),
+])
+def test_completion(prompt: str, n_predict: int, re_content: str, n_prompt: int, n_predicted: int, truncated: bool, return_tokens: bool):
+    global server
+    server.start()
+    res = server.make_request("POST", "/completion", data={
+        "n_predict": n_predict,
+        "prompt": prompt,
+        "return_tokens": return_tokens,
+    })
+    assert res.status_code == 200
+    assert res.body["timings"]["prompt_n"] == n_prompt
+    assert res.body["timings"]["predicted_n"] == n_predicted
+    assert res.body["truncated"] == truncated
+    assert type(res.body["has_new_line"]) == bool
+    assert match_regex(re_content, res.body["content"])
+    if return_tokens:
+        assert len(res.body["tokens"]) > 0
+        assert all(type(tok) == int for tok in res.body["tokens"])
+    else:
+        assert res.body["tokens"] == []
+
+
+@pytest.mark.parametrize("prompt,n_predict,re_content,n_prompt,n_predicted,truncated", [
+    ("I believe the meaning of life is", 8, "(going|bed)+", 18, 8, False),
+    ("Write a joke about AI from a very long prompt which will not be truncated", 256, "(princesses|everyone|kids|Anna|forest)+", 46, 64, False),
+])
+def test_completion_stream(prompt: str, n_predict: int, re_content: str, n_prompt: int, n_predicted: int, truncated: bool):
+    global server
+    server.start()
+    res = server.make_stream_request("POST", "/completion", data={
+        "n_predict": n_predict,
+        "prompt": prompt,
+        "stream": True,
+    })
+    content = ""
+    for data in res:
+        assert "stop" in data and type(data["stop"]) == bool
+        if data["stop"]:
+            assert data["timings"]["prompt_n"] == n_prompt
+            assert data["timings"]["predicted_n"] == n_predicted
+            assert data["truncated"] == truncated
+            assert data["stop_type"] == "limit"
+            assert type(data["has_new_line"]) == bool
+            assert "generation_settings" in data
+            assert server.n_predict is not None
+            assert data["generation_settings"]["n_predict"] == min(n_predict, server.n_predict)
+            assert data["generation_settings"]["seed"] == server.seed
+            assert match_regex(re_content, content)
+        else:
+            assert len(data["tokens"]) > 0
+            assert all(type(tok) == int for tok in data["tokens"])
+            content += data["content"]
+
+
+def test_completion_stream_vs_non_stream():
+    global server
+    server.start()
+    res_stream = server.make_stream_request("POST", "/completion", data={
+        "n_predict": 8,
+        "prompt": "I believe the meaning of life is",
+        "stream": True,
+    })
+    res_non_stream = server.make_request("POST", "/completion", data={
+        "n_predict": 8,
+        "prompt": "I believe the meaning of life is",
+    })
+    content_stream = ""
+    for data in res_stream:
+        content_stream += data["content"]
+    assert content_stream == res_non_stream.body["content"]
+
+
+def test_completion_with_openai_library():
+    global server
+    server.start()
+    client = OpenAI(api_key="dummy", base_url=f"http://{server.server_host}:{server.server_port}/v1")
+    res = client.completions.create(
+        model="davinci-002",
+        prompt="I believe the meaning of life is",
+        max_tokens=8,
+    )
+    assert res.system_fingerprint is not None and res.system_fingerprint.startswith("b")
+    assert res.choices[0].finish_reason == "length"
+    assert res.choices[0].text is not None
+    assert match_regex("(going|bed)+", res.choices[0].text)
+
+
+def test_completion_stream_with_openai_library():
+    global server
+    server.start()
+    client = OpenAI(api_key="dummy", base_url=f"http://{server.server_host}:{server.server_port}/v1")
+    res = client.completions.create(
+        model="davinci-002",
+        prompt="I believe the meaning of life is",
+        max_tokens=8,
+        stream=True,
+    )
+    output_text = ''
+    for data in res:
+        choice = data.choices[0]
+        if choice.finish_reason is None:
+            assert choice.text is not None
+            output_text += choice.text
+    assert match_regex("(going|bed)+", output_text)
+
+
+# Test case from https://github.com/ggml-org/llama.cpp/issues/13780
+@pytest.mark.slow
+def test_completion_stream_with_openai_library_stops():
+    global server
+    server.model_hf_repo = "bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M"
+    server.model_hf_file = None
+    server.start()
+    client = OpenAI(api_key="dummy", base_url=f"http://{server.server_host}:{server.server_port}/v1")
+    res = client.completions.create(
+        model="davinci-002",
+        prompt="System: You are helpfull assistant.\nAssistant:\nHey! How could I help?\nUser:\nTell me a joke.\nAssistant:\n",
+        stop=["User:\n", "Assistant:\n"],
+        max_tokens=200,
+        stream=True,
+    )
+    output_text = ''
+    for data in res:
+        choice = data.choices[0]
+        if choice.finish_reason is None:
+            assert choice.text is not None
+            output_text += choice.text
+    assert match_regex("Sure, here's one for[\\s\\S]*", output_text), f'Unexpected output: {output_text}'
+
+
+@pytest.mark.parametrize("n_slots", [1, 2])
+def test_consistent_result_same_seed(n_slots: int):
+    global server
+    server.n_slots = n_slots
+    server.start()
+    last_res = None
+    for _ in range(4):
+        res = server.make_request("POST", "/completion", data={
+            "prompt": "I believe the meaning of life is",
+            "seed": 42,
+            "temperature": 0.0,
+            "cache_prompt": False,  # TODO: remove this once test_cache_vs_nocache_prompt is fixed
+        })
+        if last_res is not None:
+            assert res.body["content"] == last_res.body["content"]
+        last_res = res
+
+
+@pytest.mark.parametrize("n_slots", [1, 2])
+def test_different_result_different_seed(n_slots: int):
+    global server
+    server.n_slots = n_slots
+    server.start()
+    last_res = None
+    for seed in range(4):
+        res = server.make_request("POST", "/completion", data={
+            "prompt": "I believe the meaning of life is",
+            "seed": seed,
+            "temperature": 1.0,
+            "cache_prompt": False,  # TODO: remove this once test_cache_vs_nocache_prompt is fixed
+        })
+        if last_res is not None:
+            assert res.body["content"] != last_res.body["content"]
+        last_res = res
+
+# TODO figure why it don't work with temperature = 1
+# @pytest.mark.parametrize("temperature", [0.0, 1.0])
+@pytest.mark.parametrize("n_batch", [16, 32])
+@pytest.mark.parametrize("temperature", [0.0])
+def test_consistent_result_different_batch_size(n_batch: int, temperature: float):
+    global server
+    server.n_batch = n_batch
+    server.start()
+    last_res = None
+    for _ in range(4):
+        res = server.make_request("POST", "/completion", data={
+            "prompt": "I believe the meaning of life is",
+            "seed": 42,
+            "temperature": temperature,
+            "cache_prompt": False,  # TODO: remove this once test_cache_vs_nocache_prompt is fixed
+        })
+        if last_res is not None:
+            assert res.body["content"] == last_res.body["content"]
+        last_res = res
+
+
+@pytest.mark.skip(reason="This test fails on linux, need to be fixed")
+def test_cache_vs_nocache_prompt():
+    global server
+    server.start()
+    res_cache = server.make_request("POST", "/completion", data={
+        "prompt": "I believe the meaning of life is",
+        "seed": 42,
+        "temperature": 1.0,
+        "cache_prompt": True,
+    })
+    res_no_cache = server.make_request("POST", "/completion", data={
+        "prompt": "I believe the meaning of life is",
+        "seed": 42,
+        "temperature": 1.0,
+        "cache_prompt": False,
+    })
+    assert res_cache.body["content"] == res_no_cache.body["content"]
+
+
+def test_nocache_long_input_prompt():
+    global server
+    server.start()
+    res = server.make_request("POST", "/completion", data={
+        "prompt": "I believe the meaning of life is"*32,
+        "seed": 42,
+        "temperature": 1.0,
+        "cache_prompt": False,
+    })
+    assert res.status_code == 200
+
+
+def test_completion_with_tokens_input():
+    global server
+    server.temperature = 0.0
+    server.start()
+    prompt_str = "I believe the meaning of life is"
+    res = server.make_request("POST", "/tokenize", data={
+        "content": prompt_str,
+        "add_special": True,
+    })
+    assert res.status_code == 200
+    tokens = res.body["tokens"]
+
+    # single completion
+    res = server.make_request("POST", "/completion", data={
+        "prompt": tokens,
+    })
+    assert res.status_code == 200
+    assert type(res.body["content"]) == str
+
+    # batch completion
+    res = server.make_request("POST", "/completion", data={
+        "prompt": [tokens, tokens],
+    })
+    assert res.status_code == 200
+    assert type(res.body) == list
+    assert len(res.body) == 2
+    assert res.body[0]["content"] == res.body[1]["content"]
+
+    # mixed string and tokens
+    res = server.make_request("POST", "/completion", data={
+        "prompt": [tokens, prompt_str],
+    })
+    assert res.status_code == 200
+    assert type(res.body) == list
+    assert len(res.body) == 2
+    assert res.body[0]["content"] == res.body[1]["content"]
+
+    # mixed string and tokens in one sequence
+    res = server.make_request("POST", "/completion", data={
+        "prompt": [1, 2, 3, 4, 5, 6, prompt_str, 7, 8, 9, 10, prompt_str],
+    })
+    assert res.status_code == 200
+    assert type(res.body["content"]) == str
+
+
+@pytest.mark.parametrize("n_slots,n_requests", [
+    (1, 3),
+    (2, 2),
+    (2, 4),
+    (4, 2), # some slots must be idle
+    (4, 6),
+])
+def test_completion_parallel_slots(n_slots: int, n_requests: int):
+    global server
+    server.n_slots = n_slots
+    server.temperature = 0.0
+    server.start()
+
+    PROMPTS = [
+        ("Write a very long book.", "(very|special|big)+"),
+        ("Write another a poem.", "(small|house)+"),
+        ("What is LLM?", "(Dad|said)+"),
+        ("The sky is blue and I love it.", "(climb|leaf)+"),
+        ("Write another very long music lyrics.", "(friends|step|sky)+"),
+        ("Write a very long joke.", "(cat|Whiskers)+"),
+    ]
+    def check_slots_status():
+        should_all_slots_busy = n_requests >= n_slots
+        time.sleep(0.1)
+        res = server.make_request("GET", "/slots")
+        n_busy = sum([1 for slot in res.body if slot["is_processing"]])
+        if should_all_slots_busy:
+            assert n_busy == n_slots
+        else:
+            assert n_busy <= n_slots
+
+    tasks = []
+    for i in range(n_requests):
+        prompt, re_content = PROMPTS[i % len(PROMPTS)]
+        tasks.append((server.make_request, ("POST", "/completion", {
+            "prompt": prompt,
+            "seed": 42,
+            "temperature": 1.0,
+        })))
+    tasks.append((check_slots_status, ()))
+    results = parallel_function_calls(tasks)
+
+    # check results
+    for i in range(n_requests):
+        prompt, re_content = PROMPTS[i % len(PROMPTS)]
+        res = results[i]
+        assert res.status_code == 200
+        assert type(res.body["content"]) == str
+        assert len(res.body["content"]) > 10
+        # FIXME: the result is not deterministic when using other slot than slot 0
+        # assert match_regex(re_content, res.body["content"])
+
+
+@pytest.mark.parametrize(
+    "prompt,n_predict,response_fields",
+    [
+        ("I believe the meaning of life is", 8, []),
+        ("I believe the meaning of life is", 32, ["content", "generation_settings/n_predict", "prompt"]),
+    ],
+)
+def test_completion_response_fields(
+    prompt: str, n_predict: int, response_fields: list[str]
+):
+    global server
+    server.start()
+    res = server.make_request(
+        "POST",
+        "/completion",
+        data={
+            "n_predict": n_predict,
+            "prompt": prompt,
+            "response_fields": response_fields,
+        },
+    )
+    assert res.status_code == 200
+    assert "content" in res.body
+    assert len(res.body["content"])
+    if len(response_fields):
+        assert res.body["generation_settings/n_predict"] == n_predict
+        assert res.body["prompt"] == "<s> " + prompt
+        assert isinstance(res.body["content"], str)
+        assert len(res.body) == len(response_fields)
+    else:
+        assert len(res.body)
+        assert "generation_settings" in res.body
+
+
+def test_n_probs():
+    global server
+    server.start()
+    res = server.make_request("POST", "/completion", data={
+        "prompt": "I believe the meaning of life is",
+        "n_probs": 10,
+        "temperature": 0.0,
+        "n_predict": 5,
+    })
+    assert res.status_code == 200
+    assert "completion_probabilities" in res.body
+    assert len(res.body["completion_probabilities"]) == 5
+    for tok in res.body["completion_probabilities"]:
+        assert "id" in tok and tok["id"] > 0
+        assert "token" in tok and type(tok["token"]) == str
+        assert "logprob" in tok and tok["logprob"] <= 0.0
+        assert "bytes" in tok and type(tok["bytes"]) == list
+        assert len(tok["top_logprobs"]) == 10
+        for prob in tok["top_logprobs"]:
+            assert "id" in prob and prob["id"] > 0
+            assert "token" in prob and type(prob["token"]) == str
+            assert "logprob" in prob and prob["logprob"] <= 0.0
+            assert "bytes" in prob and type(prob["bytes"]) == list
+
+
+def test_n_probs_stream():
+    global server
+    server.start()
+    res = server.make_stream_request("POST", "/completion", data={
+        "prompt": "I believe the meaning of life is",
+        "n_probs": 10,
+        "temperature": 0.0,
+        "n_predict": 5,
+        "stream": True,
+    })
+    for data in res:
+        if data["stop"] == False:
+            assert "completion_probabilities" in data
+            assert len(data["completion_probabilities"]) == 1
+            for tok in data["completion_probabilities"]:
+                assert "id" in tok and tok["id"] > 0
+                assert "token" in tok and type(tok["token"]) == str
+                assert "logprob" in tok and tok["logprob"] <= 0.0
+                assert "bytes" in tok and type(tok["bytes"]) == list
+                assert len(tok["top_logprobs"]) == 10
+                for prob in tok["top_logprobs"]:
+                    assert "id" in prob and prob["id"] > 0
+                    assert "token" in prob and type(prob["token"]) == str
+                    assert "logprob" in prob and prob["logprob"] <= 0.0
+                    assert "bytes" in prob and type(prob["bytes"]) == list
+
+
+def test_n_probs_post_sampling():
+    global server
+    server.start()
+    res = server.make_request("POST", "/completion", data={
+        "prompt": "I believe the meaning of life is",
+        "n_probs": 10,
+        "temperature": 0.0,
+        "n_predict": 5,
+        "post_sampling_probs": True,
+    })
+    assert res.status_code == 200
+    assert "completion_probabilities" in res.body
+    assert len(res.body["completion_probabilities"]) == 5
+    for tok in res.body["completion_probabilities"]:
+        assert "id" in tok and tok["id"] > 0
+        assert "token" in tok and type(tok["token"]) == str
+        assert "prob" in tok and 0.0 < tok["prob"] <= 1.0
+        assert "bytes" in tok and type(tok["bytes"]) == list
+        assert len(tok["top_probs"]) == 10
+        for prob in tok["top_probs"]:
+            assert "id" in prob and prob["id"] > 0
+            assert "token" in prob and type(prob["token"]) == str
+            assert "prob" in prob and 0.0 <= prob["prob"] <= 1.0
+            assert "bytes" in prob and type(prob["bytes"]) == list
+        # because the test model usually output token with either 100% or 0% probability, we need to check all the top_probs
+        assert any(prob["prob"] == 1.0 for prob in tok["top_probs"])
+
+
+def test_cancel_request():
+    global server
+    server.n_ctx = 4096
+    server.n_predict = -1
+    server.n_slots = 1
+    server.server_slots = True
+    server.start()
+    # send a request that will take a long time, but cancel it before it finishes
+    try:
+        server.make_request("POST", "/completion", data={
+            "prompt": "I believe the meaning of life is",
+        }, timeout=0.1)
+    except requests.exceptions.ReadTimeout:
+        pass # expected
+    # make sure the slot is free
+    time.sleep(1) # wait for HTTP_POLLING_SECONDS
+    res = server.make_request("GET", "/slots")
+    assert res.body[0]["is_processing"] == False
diff --git a/tools/server/tests/unit/test_template.py b/tools/server/tests/unit/test_template.py
new file mode 100644
index 000000000..dcc3f0a3e
--- /dev/null
+++ b/tools/server/tests/unit/test_template.py
@@ -0,0 +1,83 @@
+#!/usr/bin/env python
+import pytest
+
+# ensure grandparent path is in sys.path
+from pathlib import Path
+import sys
+
+from unit.test_tool_call import TEST_TOOL
+path = Path(__file__).resolve().parents[1]
+sys.path.insert(0, str(path))
+
+import datetime
+from utils import *
+
+server: ServerProcess
+
+TIMEOUT_SERVER_START = 15*60
+
+@pytest.fixture(autouse=True)
+def create_server():
+    global server
+    server = ServerPreset.tinyllama2()
+    server.model_alias = "tinyllama-2"
+    server.server_port = 8081
+    server.n_slots = 1
+
+
+@pytest.mark.parametrize("tools", [None, [], [TEST_TOOL]])
+@pytest.mark.parametrize("template_name,reasoning_budget,expected_end", [
+    ("deepseek-ai-DeepSeek-R1-Distill-Qwen-32B", None, "<think>\n"),
+    ("deepseek-ai-DeepSeek-R1-Distill-Qwen-32B",   -1, "<think>\n"),
+    ("deepseek-ai-DeepSeek-R1-Distill-Qwen-32B",    0, "<think>\n</think>"),
+
+    ("Qwen-Qwen3-0.6B", -1, "<|im_start|>assistant\n"),
+    ("Qwen-Qwen3-0.6B",  0, "<|im_start|>assistant\n<think>\n\n</think>\n\n"),
+
+    ("Qwen-QwQ-32B", -1, "<|im_start|>assistant\n<think>\n"),
+    ("Qwen-QwQ-32B",  0, "<|im_start|>assistant\n<think>\n</think>"),
+
+    ("CohereForAI-c4ai-command-r7b-12-2024-tool_use", -1, "<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>"),
+    ("CohereForAI-c4ai-command-r7b-12-2024-tool_use",  0, "<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|><|START_THINKING|><|END_THINKING|>"),
+])
+def test_reasoning_budget(template_name: str, reasoning_budget: int | None, expected_end: str, tools: list[dict]):
+    global server
+    server.jinja = True
+    server.reasoning_budget = reasoning_budget
+    server.chat_template_file = f'../../../models/templates/{template_name}.jinja'
+    server.start(timeout_seconds=TIMEOUT_SERVER_START)
+
+    res = server.make_request("POST", "/apply-template", data={
+        "messages": [
+            {"role": "user", "content": "What is today?"},
+        ],
+        "tools": tools,
+    })
+    assert res.status_code == 200
+    prompt = res.body["prompt"]
+
+    assert prompt.endswith(expected_end), f"Expected prompt to end with '{expected_end}', got '{prompt}'"
+
+
+@pytest.mark.parametrize("tools", [None, [], [TEST_TOOL]])
+@pytest.mark.parametrize("template_name,format", [
+    ("meta-llama-Llama-3.3-70B-Instruct",    "%d %b %Y"),
+    ("fireworks-ai-llama-3-firefunction-v2", "%b %d %Y"),
+])
+def test_date_inside_prompt(template_name: str, format: str, tools: list[dict]):
+    global server
+    server.jinja = True
+    server.chat_template_file = f'../../../models/templates/{template_name}.jinja'
+    server.start(timeout_seconds=TIMEOUT_SERVER_START)
+
+    res = server.make_request("POST", "/apply-template", data={
+        "messages": [
+            {"role": "user", "content": "What is today?"},
+        ],
+        "tools": tools,
+    })
+    assert res.status_code == 200
+    prompt = res.body["prompt"]
+
+    today_str = datetime.date.today().strftime(format)
+    assert today_str in prompt, f"Expected today's date ({today_str}) in content ({prompt})"
diff --git a/tools/server/tests/unit/test_tool_call.py b/tools/server/tests/unit/test_tool_call.py
new file mode 100755
index 000000000..20f048c6f
--- /dev/null
+++ b/tools/server/tests/unit/test_tool_call.py
@@ -0,0 +1,623 @@
+#!/usr/bin/env python
+import pytest
+
+# ensure grandparent path is in sys.path
+from pathlib import Path
+import sys
+path = Path(__file__).resolve().parents[1]
+sys.path.insert(0, str(path))
+
+from utils import *
+from enum import Enum
+
+server: ServerProcess
+
+TIMEOUT_SERVER_START = 15*60
+TIMEOUT_HTTP_REQUEST = 60
+
+@pytest.fixture(autouse=True)
+def create_server():
+    global server
+    server = ServerPreset.tinyllama2()
+    server.model_alias = "tinyllama-2-tool-call"
+    server.server_port = 8081
+    server.n_slots = 1
+
+class CompletionMode(Enum):
+    NORMAL = "normal"
+    STREAMED = "streamed"
+
+TEST_TOOL = {
+    "type":"function",
+    "function": {
+        "name": "test",
+        "description": "",
+        "parameters": {
+            "type": "object",
+            "properties": {
+                "success": {"type": "boolean", "const": True},
+            },
+            "required": ["success"]
+        }
+    }
+}
+
+PYTHON_TOOL = {
+    "type": "function",
+    "function": {
+        "name": "python",
+        "description": "Runs code in an ipython interpreter and returns the result of the execution after 60 seconds.",
+        "parameters": {
+            "type": "object",
+            "properties": {
+                "code": {
+                    "type": "string",
+                    "description": "The code to run in the ipython interpreter."
+                }
+            },
+            "required": ["code"]
+        }
+    }
+}
+
+WEATHER_TOOL = {
+  "type":"function",
+  "function":{
+    "name":"get_current_weather",
+    "description":"Get the current weather in a given location",
+    "parameters":{
+      "type":"object",
+      "properties":{
+        "location":{
+          "type":"string",
+          "description":"The city and country/state, e.g. 'San Francisco, CA', or 'Paris, France'"
+        }
+      },
+      "required":["location"]
+    }
+  }
+}
+
+def do_test_completion_with_required_tool_tiny(server: ServerProcess, tool: dict, argument_key: str | None, n_predict, **kwargs):
+    body = server.make_any_request("POST", "/v1/chat/completions", data={
+        "max_tokens": n_predict,
+        "messages": [
+            {"role": "system", "content": "You are a coding assistant."},
+            {"role": "user", "content": "Write an example"},
+        ],
+        "tool_choice": "required",
+        "tools": [tool],
+        "parallel_tool_calls": False,
+        **kwargs,
+    })
+    # assert res.status_code == 200, f"Expected status code 200, got {res.status_code}"
+    choice = body["choices"][0]
+    tool_calls = choice["message"].get("tool_calls")
+    assert tool_calls and len(tool_calls) == 1, f'Expected 1 tool call in {choice["message"]}'
+    tool_call = tool_calls[0]
+    assert choice["message"].get("content") in (None, ""), f'Expected no content in {choice["message"]}'
+    # assert len(tool_call.get("id", "")) > 0, f'Expected non empty tool call id in {tool_call}'
+    expected_function_name = "python" if tool["type"] == "code_interpreter" else tool["function"]["name"]
+    assert expected_function_name == tool_call["function"]["name"]
+    actual_arguments = tool_call["function"]["arguments"]
+    assert isinstance(actual_arguments, str)
+    if argument_key is not None:
+        actual_arguments = json.loads(actual_arguments)
+        assert argument_key in actual_arguments, f"tool arguments: {json.dumps(actual_arguments)}, expected: {argument_key}"
+
+
+@pytest.mark.parametrize("stream", [CompletionMode.NORMAL, CompletionMode.STREAMED])
+@pytest.mark.parametrize("template_name,tool,argument_key", [
+    ("google-gemma-2-2b-it",                          TEST_TOOL,            "success"),
+    ("google-gemma-2-2b-it",                          TEST_TOOL,            "success"),
+    ("meta-llama-Llama-3.3-70B-Instruct",             TEST_TOOL,            "success"),
+    ("meta-llama-Llama-3.3-70B-Instruct",             TEST_TOOL,            "success"),
+    ("meta-llama-Llama-3.3-70B-Instruct",             PYTHON_TOOL,          "code"),
+    ("meta-llama-Llama-3.3-70B-Instruct",             PYTHON_TOOL,          "code"),
+])
+def test_completion_with_required_tool_tiny_fast(template_name: str, tool: dict, argument_key: str | None, stream: CompletionMode):
+    global server
+    n_predict = 1024
+    # server = ServerPreset.stories15m_moe()
+    server.jinja = True
+    server.n_predict = n_predict
+    server.chat_template_file = f'../../../models/templates/{template_name}.jinja'
+    server.start(timeout_seconds=TIMEOUT_SERVER_START)
+    do_test_completion_with_required_tool_tiny(server, tool, argument_key, n_predict, stream=stream == CompletionMode.STREAMED, temperature=0.0, top_k=1, top_p=1.0)
+
+
+@pytest.mark.slow
+@pytest.mark.parametrize("stream", [CompletionMode.NORMAL, CompletionMode.STREAMED])
+@pytest.mark.parametrize("template_name,tool,argument_key", [
+    ("meta-llama-Llama-3.1-8B-Instruct",              TEST_TOOL,            "success"),
+    ("meta-llama-Llama-3.1-8B-Instruct",              PYTHON_TOOL,          "code"),
+
+    ("meetkai-functionary-medium-v3.1",               TEST_TOOL,            "success"),
+    ("meetkai-functionary-medium-v3.1",               PYTHON_TOOL,          "code"),
+
+    ("meetkai-functionary-medium-v3.2",               TEST_TOOL,            "success"),
+    # Functionary v3.2 format supports raw python content, which w/ a dummy stories model will never end on its own.
+    # ("meetkai-functionary-medium-v3.2",               PYTHON_TOOL,          "code"),
+
+    ("NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use", TEST_TOOL,            "success"),
+    ("NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use", PYTHON_TOOL,          "code"),
+
+    ("meta-llama-Llama-3.2-3B-Instruct",              TEST_TOOL,            "success"),
+    ("meta-llama-Llama-3.2-3B-Instruct",              PYTHON_TOOL,          "code"),
+
+    ("mistralai-Mistral-Nemo-Instruct-2407",          TEST_TOOL,            "success"),
+    ("mistralai-Mistral-Nemo-Instruct-2407",          PYTHON_TOOL,          "code"),
+
+    ("NousResearch-Hermes-3-Llama-3.1-8B-tool_use",   TEST_TOOL,            "success"),
+    ("NousResearch-Hermes-3-Llama-3.1-8B-tool_use",   PYTHON_TOOL,          "code"),
+
+    ("deepseek-ai-DeepSeek-R1-Distill-Llama-8B",      TEST_TOOL,            "success"),
+    ("deepseek-ai-DeepSeek-R1-Distill-Llama-8B",      PYTHON_TOOL,          "code"),
+
+    ("fireworks-ai-llama-3-firefunction-v2",          TEST_TOOL,            "success"),
+    # ("fireworks-ai-llama-3-firefunction-v2",          PYTHON_TOOL,          "codeFalse), True),
+    # ("fireworks-ai-llama-3-firefunction-v2",          PYTHON_TOOL,          "code"),
+
+])
+def test_completion_with_required_tool_tiny_slow(template_name: str, tool: dict, argument_key: str | None, stream: CompletionMode):
+    global server
+    n_predict = 512
+    # server = ServerPreset.stories15m_moe()
+    server.jinja = True
+    server.n_predict = n_predict
+    server.chat_template_file = f'../../../models/templates/{template_name}.jinja'
+    server.start(timeout_seconds=TIMEOUT_SERVER_START)
+    do_test_completion_with_required_tool_tiny(server, tool, argument_key, n_predict, stream=stream == CompletionMode.STREAMED)
+
+
+@pytest.mark.slow
+@pytest.mark.parametrize("stream", [CompletionMode.NORMAL, CompletionMode.STREAMED])
+@pytest.mark.parametrize("tool,argument_key,hf_repo,template_override", [
+    (TEST_TOOL,    "success",  "bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", None),
+    (PYTHON_TOOL,  "code",     "bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", None),
+    (PYTHON_TOOL,  "code",     "bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", "chatml"),
+
+    (TEST_TOOL,    "success",  "bartowski/gemma-2-2b-it-GGUF:Q4_K_M",              None),
+    (PYTHON_TOOL,  "code",     "bartowski/gemma-2-2b-it-GGUF:Q4_K_M",              None),
+    (PYTHON_TOOL,  "code",     "bartowski/gemma-2-2b-it-GGUF:Q4_K_M",              "chatml"),
+
+    (TEST_TOOL,    "success",  "bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M",      None),
+    (PYTHON_TOOL,  "code",     "bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M",      None),
+    (PYTHON_TOOL,  "code",     "bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M",      "chatml"),
+
+    (TEST_TOOL,    "success",  "bartowski/Qwen2.5-1.5B-Instruct-GGUF:Q4_K_M",      None),
+    (PYTHON_TOOL,  "code",     "bartowski/Qwen2.5-1.5B-Instruct-GGUF:Q4_K_M",      None),
+    (PYTHON_TOOL,  "code",     "bartowski/Qwen2.5-1.5B-Instruct-GGUF:Q4_K_M",      "chatml"),
+
+    (TEST_TOOL,    "success",  "bartowski/Qwen2.5-Coder-3B-Instruct-GGUF:Q4_K_M",      None),
+    (PYTHON_TOOL,  "code",     "bartowski/Qwen2.5-Coder-3B-Instruct-GGUF:Q4_K_M",      None),
+    (PYTHON_TOOL,  "code",     "bartowski/Qwen2.5-Coder-3B-Instruct-GGUF:Q4_K_M",      "chatml"),
+
+    (TEST_TOOL,    "success",  "bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M",        None),
+    (PYTHON_TOOL,  "code",     "bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M",        None),
+    (PYTHON_TOOL,  "code",     "bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M",        "chatml"),
+
+    (TEST_TOOL,    "success",  "bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M", ("NousResearch/Hermes-2-Pro-Llama-3-8B", "tool_use")),
+    (PYTHON_TOOL,  "code",     "bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M", ("NousResearch/Hermes-2-Pro-Llama-3-8B", "tool_use")),
+    (PYTHON_TOOL,  "code",     "bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M", "chatml"),
+
+    (TEST_TOOL,    "success",  "bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M",   ("NousResearch/Hermes-3-Llama-3.1-8B", "tool_use")),
+    (PYTHON_TOOL,  "code",     "bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M",   ("NousResearch/Hermes-3-Llama-3.1-8B", "tool_use")),
+    (PYTHON_TOOL,  "code",     "bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M",   "chatml"),
+
+    # (TEST_TOOL,    "success",  "bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M", None),
+    # (PYTHON_TOOL,  "code",     "bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M", None),
+    # (PYTHON_TOOL,  "code",     "bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M", "chatml"),
+
+    (TEST_TOOL,    "success",  "bartowski/functionary-small-v3.2-GGUF:Q4_K_M",       ("meetkai/functionary-medium-v3.2", None)),
+    (PYTHON_TOOL,  "code",     "bartowski/functionary-small-v3.2-GGUF:Q4_K_M",       ("meetkai/functionary-medium-v3.2", None)),
+    (PYTHON_TOOL,  "code",     "bartowski/functionary-small-v3.2-GGUF:Q4_K_M",       "chatml"),
+
+    (TEST_TOOL,    "success",  "bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M",      ("meta-llama/Llama-3.2-3B-Instruct", None)),
+    (PYTHON_TOOL,  "code",     "bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M",      ("meta-llama/Llama-3.2-3B-Instruct", None)),
+    (PYTHON_TOOL,  "code",     "bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M",      "chatml"),
+
+    (TEST_TOOL,    "success",  "bartowski/Llama-3.2-1B-Instruct-GGUF:Q4_K_M",      ("meta-llama/Llama-3.2-3B-Instruct", None)),
+    (PYTHON_TOOL,  "code",     "bartowski/Llama-3.2-1B-Instruct-GGUF:Q4_K_M",      ("meta-llama/Llama-3.2-3B-Instruct", None)),
+    (PYTHON_TOOL,  "code",     "bartowski/Llama-3.2-1B-Instruct-GGUF:Q4_K_M",      "chatml"),
+
+    (TEST_TOOL,    "success",  "bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M", None),
+    (PYTHON_TOOL,  "code",     "bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M", None),
+])
+def test_completion_with_required_tool_real_model(tool: dict, argument_key: str | None, hf_repo: str, template_override: str | Tuple[str, str | None] | None, stream: CompletionMode):
+    global server
+    n_predict = 512
+    server.jinja = True
+    server.n_ctx = 8192
+    server.n_predict = n_predict
+    server.model_hf_repo = hf_repo
+    server.model_hf_file = None
+    if isinstance(template_override, tuple):
+        (template_hf_repo, template_variant) = template_override
+        server.chat_template_file = f"../../../models/templates/{template_hf_repo.replace('/', '-') + ('-' + template_variant if template_variant else '')}.jinja"
+        assert os.path.exists(server.chat_template_file), f"Template file {server.chat_template_file} does not exist. Run `python scripts/get_chat_template.py {template_hf_repo} {template_variant} > {server.chat_template_file}` to download the template."
+    elif isinstance(template_override, str):
+        server.chat_template = template_override
+    server.start(timeout_seconds=TIMEOUT_SERVER_START)
+    body = server.make_any_request("POST", "/v1/chat/completions", data={
+        "max_tokens": n_predict,
+        "messages": [
+            {"role": "system", "content": "You are a coding assistant."},
+            {"role": "user", "content": "Write an example"},
+        ],
+        "tool_choice": "required",
+        "tools": [tool],
+        "parallel_tool_calls": False,
+        "stream": stream == CompletionMode.STREAMED,
+        "temperature": 0.0,
+        "top_k": 1,
+        "top_p": 1.0,
+    }, timeout=TIMEOUT_HTTP_REQUEST)
+    choice = body["choices"][0]
+    tool_calls = choice["message"].get("tool_calls")
+    assert tool_calls and len(tool_calls) == 1, f'Expected 1 tool call in {choice["message"]}'
+    tool_call = tool_calls[0]
+    # assert choice["message"].get("content") in (None, ""), f'Expected no content in {choice["message"]}'
+    expected_function_name = "python" if tool["type"] == "code_interpreter" else tool["function"]["name"]
+    assert expected_function_name == tool_call["function"]["name"]
+    actual_arguments = tool_call["function"]["arguments"]
+    assert isinstance(actual_arguments, str)
+    if argument_key is not None:
+        actual_arguments = json.loads(actual_arguments)
+        assert argument_key in actual_arguments, f"tool arguments: {json.dumps(actual_arguments)}, expected: {argument_key}"
+
+
+def do_test_completion_without_tool_call(server: ServerProcess, n_predict: int, tools: list[dict], tool_choice: str | None, **kwargs):
+    body = server.make_any_request("POST", "/v1/chat/completions", data={
+        "max_tokens": n_predict,
+        "messages": [
+            {"role": "system", "content": "You are a coding assistant."},
+            {"role": "user", "content": "say hello world with python"},
+        ],
+        "tools": tools if tools else None,
+        "tool_choice": tool_choice,
+        **kwargs,
+    }, timeout=TIMEOUT_HTTP_REQUEST)
+    choice = body["choices"][0]
+    assert choice["message"].get("tool_calls") is None, f'Expected no tool call in {choice["message"]}'
+
+
+@pytest.mark.parametrize("stream", [CompletionMode.NORMAL, CompletionMode.STREAMED])
+@pytest.mark.parametrize("template_name,n_predict,tools,tool_choice", [
+    ("meta-llama-Llama-3.3-70B-Instruct",         128, [],            None),
+    ("meta-llama-Llama-3.3-70B-Instruct",         128, [TEST_TOOL],   None),
+    ("meta-llama-Llama-3.3-70B-Instruct",         128, [PYTHON_TOOL], 'none'),
+])
+def test_completion_without_tool_call_fast(template_name: str, n_predict: int, tools: list[dict], tool_choice: str | None, stream: CompletionMode):
+    global server
+    server.n_predict = n_predict
+    server.jinja = True
+    server.chat_template_file = f'../../../models/templates/{template_name}.jinja'
+    server.start(timeout_seconds=TIMEOUT_SERVER_START)
+    do_test_completion_without_tool_call(server, n_predict, tools, tool_choice, stream=stream == CompletionMode.STREAMED)
+
+
+@pytest.mark.slow
+@pytest.mark.parametrize("stream", [CompletionMode.NORMAL, CompletionMode.STREAMED])
+@pytest.mark.parametrize("template_name,n_predict,tools,tool_choice", [
+    ("meetkai-functionary-medium-v3.2",               256, [],            None),
+    ("meetkai-functionary-medium-v3.2",               256, [TEST_TOOL],   None),
+    ("meetkai-functionary-medium-v3.2",               256, [PYTHON_TOOL], 'none'),
+    ("meetkai-functionary-medium-v3.1",               256, [],            None),
+    ("meetkai-functionary-medium-v3.1",               256, [TEST_TOOL],   None),
+    ("meetkai-functionary-medium-v3.1",               256, [PYTHON_TOOL], 'none'),
+    ("meta-llama-Llama-3.2-3B-Instruct",              256, [],            None),
+    ("meta-llama-Llama-3.2-3B-Instruct",              256, [TEST_TOOL],   None),
+    ("meta-llama-Llama-3.2-3B-Instruct",              256, [PYTHON_TOOL], 'none'),
+])
+def test_completion_without_tool_call_slow(template_name: str, n_predict: int, tools: list[dict], tool_choice: str | None, stream: CompletionMode):
+    global server
+    server.n_predict = n_predict
+    server.jinja = True
+    server.chat_template_file = f'../../../models/templates/{template_name}.jinja'
+    server.start(timeout_seconds=TIMEOUT_SERVER_START)
+    do_test_completion_without_tool_call(server, n_predict, tools, tool_choice, stream=stream == CompletionMode.STREAMED)
+
+
+@pytest.mark.slow
+@pytest.mark.parametrize("stream", [CompletionMode.NORMAL, CompletionMode.STREAMED])
+@pytest.mark.parametrize("hf_repo,template_override", [
+    ("bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", None),
+    ("bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", "chatml"),
+
+    ("bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M",      None),
+    ("bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M",      "chatml"),
+
+    ("bartowski/Qwen2.5-1.5B-Instruct-GGUF:Q4_K_M",      None),
+    ("bartowski/Qwen2.5-1.5B-Instruct-GGUF:Q4_K_M",      "chatml"),
+
+    ("bartowski/Qwen2.5-Coder-3B-Instruct-GGUF:Q4_K_M",      None),
+    ("bartowski/Qwen2.5-Coder-3B-Instruct-GGUF:Q4_K_M",      "chatml"),
+
+    ("bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M",        None),
+    ("bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M",        "chatml"),
+
+    ("bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M",    ("NousResearch/Hermes-2-Pro-Llama-3-8B", "tool_use")),
+    ("bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M",    "chatml"),
+
+    ("bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M",      ("NousResearch/Hermes-3-Llama-3.1-8B", "tool_use")),
+    ("bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M",      "chatml"),
+
+    # ("bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M", None),
+    # ("bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M", "chatml"),
+
+    # ("bartowski/functionary-small-v3.2-GGUF:Q8_0",       ("meetkai/functionary-medium-v3.2", None)),
+    # ("bartowski/functionary-small-v3.2-GGUF:Q8_0",       "chatml"),
+
+    ("bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M",      ("meta-llama/Llama-3.2-3B-Instruct", None)),
+    ("bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M",      "chatml"),
+
+    ("bartowski/c4ai-command-r7b-12-2024-GGUF:Q6_K_L",   ("CohereForAI/c4ai-command-r7b-12-2024", "tool_use")),
+
+    ("bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M", None),
+
+    # Note: gemma-2-2b-it knows itself as "model", not "assistant", so we don't test the ill-suited chatml on it.
+    ("bartowski/gemma-2-2b-it-GGUF:Q4_K_M",              None),
+
+    # ("bartowski/Llama-3.2-1B-Instruct-GGUF:Q4_K_M", ("meta-llama/Llama-3.2-3B-Instruct", None)),
+])
+def test_weather(hf_repo: str, template_override: str | Tuple[str, str | None] | None, stream: CompletionMode):
+    global server
+    n_predict = 512
+    server.jinja = True
+    server.n_ctx = 8192
+    server.n_predict = n_predict
+    server.model_hf_repo = hf_repo
+    server.model_hf_file = None
+    if isinstance(template_override, tuple):
+        (template_hf_repo, template_variant) = template_override
+        server.chat_template_file = f"../../../models/templates/{template_hf_repo.replace('/', '-') + ('-' + template_variant if template_variant else '')}.jinja"
+        assert os.path.exists(server.chat_template_file), f"Template file {server.chat_template_file} does not exist. Run `python scripts/get_chat_template.py {template_hf_repo} {template_variant} > {server.chat_template_file}` to download the template."
+    elif isinstance(template_override, str):
+        server.chat_template = template_override
+    server.start(timeout_seconds=TIMEOUT_SERVER_START)
+    do_test_weather(server, stream=stream == CompletionMode.STREAMED, max_tokens=n_predict)
+
+
+def do_test_weather(server: ServerProcess, **kwargs):
+    body = server.make_any_request("POST", "/v1/chat/completions", data={
+        "messages": [
+            {"role": "system", "content": "You are a chatbot that uses tools/functions. Dont overthink things."},
+            {"role": "user", "content": "What is the weather in Istanbul?"},
+        ],
+        "tools": [WEATHER_TOOL],
+        **kwargs,
+    }, timeout=TIMEOUT_HTTP_REQUEST)
+    choice = body["choices"][0]
+    tool_calls = choice["message"].get("tool_calls")
+    assert tool_calls and len(tool_calls) == 1, f'Expected 1 tool call in {choice["message"]}'
+    tool_call = tool_calls[0]
+    # assert choice["message"].get("content") in (None, ""), f'Expected no content in {choice["message"]}'
+    assert tool_call["function"]["name"] == WEATHER_TOOL["function"]["name"], f'Expected weather tool call, got {tool_call["function"]["name"]}'
+    # assert len(tool_call.get("id", "")) > 0, f'Expected non empty tool call id in {tool_call}'
+    actual_arguments = json.loads(tool_call["function"]["arguments"])
+    assert 'location' in actual_arguments, f"location not found in {json.dumps(actual_arguments)}"
+    location = actual_arguments["location"]
+    assert isinstance(location, str), f"Expected location to be a string, got {type(location)}: {json.dumps(location)}"
+    assert re.match('^Istanbul(( |, ?)(TR|Turkey|Türkiye))?$', location), f'Expected Istanbul for location, got {location}'
+
+
+@pytest.mark.slow
+@pytest.mark.parametrize("stream", [CompletionMode.NORMAL, CompletionMode.STREAMED])
+@pytest.mark.parametrize("result_override,n_predict,hf_repo,template_override", [
+    (None,                                           128,  "bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M",       "chatml"),
+    (None,                                           128,  "bartowski/Qwen2.5-Coder-3B-Instruct-GGUF:Q4_K_M", None),
+    (None,                                           128,  "bartowski/Qwen2.5-Coder-3B-Instruct-GGUF:Q4_K_M", "chatml"),
+    (None,                                           128,  "bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M",         "chatml"),
+    (None,                                           128,  "bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M",     ("NousResearch/Hermes-2-Pro-Llama-3-8B", "tool_use")),
+    (None,                                           128,  "bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M",       ("NousResearch/Hermes-3-Llama-3.1-8B", "tool_use")),
+    (None,                                           128,  "bartowski/functionary-small-v3.2-GGUF:Q8_0",        ("meetkai/functionary-medium-v3.2", None)),
+    (None,                                           128,  "bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M",  None),
+    (None,                                           128,  "bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M",  "chatml"),
+    (None,                                           128,  "bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M",       None),
+    ("[\\s\\S]*?\\*\\*\\s*0.5($|\\*\\*)",            8192, "bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M", ("llama-cpp-deepseek-r1", None)),
+
+    # TODO: fix these (wrong results, either didn't respect decimal instruction or got wrong value)
+    # (None,                                           128,  "bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M",  None),
+    # ("[\\s\\S]*?\\*\\*\\s*0.5($|\\*\\*)",            8192, "bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M", None),
+])
+def test_calc_result(result_override: str | None, n_predict: int, hf_repo: str, template_override: str | Tuple[str, str | None] | None, stream: CompletionMode):
+    global server
+    server.jinja = True
+    server.n_ctx = 8192 * 2
+    server.n_predict = n_predict
+    server.model_hf_repo = hf_repo
+    server.model_hf_file = None
+    if isinstance(template_override, tuple):
+        (template_hf_repo, template_variant) = template_override
+        server.chat_template_file = f"../../../models/templates/{template_hf_repo.replace('/', '-') + ('-' + template_variant if template_variant else '')}.jinja"
+        assert os.path.exists(server.chat_template_file), f"Template file {server.chat_template_file} does not exist. Run `python scripts/get_chat_template.py {template_hf_repo} {template_variant} > {server.chat_template_file}` to download the template."
+    elif isinstance(template_override, str):
+        server.chat_template = template_override
+    server.start(timeout_seconds=TIMEOUT_SERVER_START)
+    do_test_calc_result(server, result_override, n_predict, stream=stream == CompletionMode.STREAMED)
+
+
+def do_test_calc_result(server: ServerProcess, result_override: str | None, n_predict: int, **kwargs):
+    body = server.make_any_request("POST", "/v1/chat/completions", data={
+        "max_tokens": n_predict,
+        "messages": [
+            {"role": "system", "content": "You are a tools-calling assistant. You express numerical values with at most two decimals."},
+            {"role": "user", "content": "What's the y coordinate of a point on the unit sphere at angle 30 degrees?"},
+            {
+                "role": "assistant",
+                "content": None,
+                "tool_calls": [
+                    {
+                        "id": "call_6789",
+                        "type": "function",
+                        "function": {
+                            "name": "calculate",
+                            "arguments": "{\"expression\":\"sin(30 * pi / 180)\"}"
+                        }
+                    }
+                ]
+            },
+            {
+                "role": "tool",
+                "name": "calculate",
+                "content": "0.55644242476",
+                "tool_call_id": "call_6789"
+            }
+        ],
+        "tools": [
+            {
+                "type":"function",
+                "function":{
+                    "name":"calculate",
+                    "description":"A calculator function that computes values of arithmetic expressions in the Python syntax",
+                    "parameters":{
+                        "type":"object",
+                        "properties":{
+                            "expression":{
+                            "type":"string",
+                            "description":"An arithmetic expression to compute the value of (Python syntad, assuming all floats)"
+                            }
+                        },
+                        "required":["expression"]
+                    }
+                }
+            }
+        ],
+        **kwargs,
+    }, timeout=TIMEOUT_HTTP_REQUEST)
+    choice = body["choices"][0]
+    tool_calls = choice["message"].get("tool_calls")
+    assert tool_calls is None, f'Expected no tool call in {choice["message"]}'
+    content = choice["message"].get("content")
+    assert content is not None, f'Expected content in {choice["message"]}'
+    if result_override is not None:
+        assert re.match(result_override, content), f'Expected {result_override}, got {content}'
+    else:
+        assert re.match('^[\\s\\S]*?((That\'s|\\bis) (approximately )?)?\\b0\\.(5\\b|56\\b|556)', content), \
+            f'Expected something like "The y coordinate is 0.56.", got {content}'
+
+
+@pytest.mark.slow
+@pytest.mark.parametrize("stream", [CompletionMode.NORMAL, CompletionMode.STREAMED])
+@pytest.mark.parametrize("n_predict,reasoning_format,expect_reasoning_content,expect_content,hf_repo,template_override", [
+    (128, 'deepseek',   None, "^The sum of 102 and 7 is 109[\\s\\S]*",                                       "bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M",       None),
+    (128,  None,        None, "^The sum of 102 and 7 is 109[\\s\\S]*",                                       "bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M",       None),
+    (1024, 'deepseek',  "I need to calculate the sum of 102 and 7[\\s\\S]*", "To find the sum of[\\s\\S]*",  "bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M", None),
+    (1024, 'deepseek',  "First, I [\\s\\S]*", "To find the sum of[\\s\\S]*",                                 "bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M", ("llama-cpp-deepseek-r1", None)),
+    # (1024, 'none',      CompletionMode.NORMAL,   None, "^(<think>\\s*)?I need[\\s\\S]*?</think>\\s*To find[\\s\\S]*",                 "bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M", None),
+    # (128,  'deepseek',  None, "^Okay, let me figure out the sum of 102 and 7[\\s\\S]*",                      "bartowski/Qwen_QwQ-32B-GGUF:Q4_K_M",                None),
+])
+def test_thoughts(n_predict: int, reasoning_format: Literal['deepseek', 'none'] | None, expect_content: str | None, expect_reasoning_content: str | None, hf_repo: str, template_override: str | Tuple[str, str | None] | None, stream: CompletionMode):
+    global server
+    server.reasoning_format = reasoning_format
+    server.jinja = True
+    server.n_ctx = 8192 * 2
+    server.n_predict = n_predict
+    server.model_hf_repo = hf_repo
+    server.model_hf_file = None
+    if isinstance(template_override, tuple):
+        (template_hf_repo, template_variant) = template_override
+        server.chat_template_file = f"../../../models/templates/{template_hf_repo.replace('/', '-') + ('-' + template_variant if template_variant else '')}.jinja"
+        assert os.path.exists(server.chat_template_file), f"Template file {server.chat_template_file} does not exist. Run `python scripts/get_chat_template.py {template_hf_repo} {template_variant} > {server.chat_template_file}` to download the template."
+    elif isinstance(template_override, str):
+        server.chat_template = template_override
+    server.start(timeout_seconds=TIMEOUT_SERVER_START)
+    body = server.make_any_request("POST", "/v1/chat/completions", data={
+        "max_tokens": n_predict,
+        "messages": [
+            {"role": "user", "content": "What's the sum of 102 and 7?"},
+        ],
+        "stream": stream == CompletionMode.STREAMED,
+    }, timeout=TIMEOUT_HTTP_REQUEST)
+    choice = body["choices"][0]
+    assert choice["message"].get("tool_calls") is None, f'Expected no tool call in {choice["message"]}'
+
+    content = choice["message"].get("content")
+    if expect_content is None:
+        assert choice["message"].get("content") in (None, ""), f'Expected no content in {choice["message"]}'
+    else:
+        assert re.match(expect_content, content), f'Expected {expect_content}, got {content}'
+
+    reasoning_content = choice["message"].get("reasoning_content")
+    if expect_reasoning_content is None:
+        assert reasoning_content is None, f'Expected no reasoning content in {choice["message"]}'
+    else:
+        assert re.match(expect_reasoning_content, reasoning_content), f'Expected {expect_reasoning_content}, got {reasoning_content}'
+
+
+@pytest.mark.slow
+@pytest.mark.parametrize("stream", [CompletionMode.NORMAL, CompletionMode.STREAMED])
+@pytest.mark.parametrize("hf_repo,template_override", [
+    ("bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M", None),
+
+    ("bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M",      None),
+    ("bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M",      "chatml"),
+
+    ("bartowski/functionary-small-v3.2-GGUF:Q8_0",       ("meetkai-functionary-medium-v3.2", None)),
+    ("bartowski/functionary-small-v3.2-GGUF:Q8_0",       "chatml"),
+
+    # ("bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", None),
+    ("bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", "chatml"),
+
+    ("bartowski/Llama-3.2-1B-Instruct-GGUF:Q4_K_M",      ("meta-llama-Llama-3.2-3B-Instruct", None)),
+    ("bartowski/Llama-3.2-1B-Instruct-GGUF:Q4_K_M",      None),
+
+    ("bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M",      ("meta-llama-Llama-3.2-3B-Instruct", None)),
+    ("bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M",      None),
+
+    ("bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M",        None),
+    ("bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M",        "chatml"),
+
+    ("bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M",    ("NousResearch/Hermes-2-Pro-Llama-3-8B", "tool_use")),
+    ("bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M",    "chatml"),
+
+    ("bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M",      ("NousResearch-Hermes-3-Llama-3.1-8B", "tool_use")),
+    ("bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M",      "chatml"),
+
+    ("bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M", None),
+    ("bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M", "chatml"),
+
+    ("bartowski/gemma-2-2b-it-GGUF:Q4_K_M",              None),
+    ("bartowski/gemma-2-2b-it-GGUF:Q4_K_M",              "chatml"),
+])
+def test_hello_world(hf_repo: str, template_override: str | Tuple[str, str | None] | None, stream: CompletionMode):
+    global server
+    n_predict = 512 # High because of DeepSeek R1
+    server.jinja = True
+    server.n_ctx = 8192
+    server.n_predict = n_predict
+    server.model_hf_repo = hf_repo
+    server.model_hf_file = None
+    if isinstance(template_override, tuple):
+        (template_hf_repo, template_variant) = template_override
+        server.chat_template_file = f"../../../models/templates/{template_hf_repo.replace('/', '-') + ('-' + template_variant if template_variant else '')}.jinja"
+        assert os.path.exists(server.chat_template_file), f"Template file {server.chat_template_file} does not exist. Run `python scripts/get_chat_template.py {template_hf_repo} {template_variant} > {server.chat_template_file}` to download the template."
+    elif isinstance(template_override, str):
+        server.chat_template = template_override
+    server.start(timeout_seconds=TIMEOUT_SERVER_START)
+
+    do_test_hello_world(server, stream=stream == CompletionMode.STREAMED, max_tokens=n_predict)
+
+
+def do_test_hello_world(server: ServerProcess, **kwargs):
+    body = server.make_any_request("POST", "/v1/chat/completions", data={
+        "messages": [
+            {"role": "system", "content": "You are a tool-calling agent."},
+            {"role": "user", "content": "say hello world with python"},
+        ],
+        "tools": [PYTHON_TOOL],
+        **kwargs,
+    }, timeout=TIMEOUT_HTTP_REQUEST)
+    choice = body["choices"][0]
+    tool_calls = choice["message"].get("tool_calls")
+    assert tool_calls and len(tool_calls) == 1, f'Expected 1 tool call in {choice["message"]}'
+    tool_call = tool_calls[0]
+    # assert choice["message"].get("content") in (None, ""), f'Expected no content in {choice["message"]}'
+    assert tool_call["function"]["name"] == PYTHON_TOOL["function"]["name"]
+    # assert len(tool_call.get("id", "")) > 0, f'Expected non empty tool call id in {tool_call}'
+    actual_arguments = json.loads(tool_call["function"]["arguments"])
+    assert 'code' in actual_arguments, f"code not found in {json.dumps(actual_arguments)}"
+    code = actual_arguments["code"]
+    assert isinstance(code, str), f"Expected code to be a string, got {type(code)}: {json.dumps(code)}"
+    assert re.match(r'''print\(("[Hh]ello,? [Ww]orld!?"|'[Hh]ello,? [Ww]orld!?')\)''', re.sub(r'#.*\n?', '', code)), f'Expected hello world, got {code}'
diff --git a/tools/server/tests/utils.py b/tools/server/tests/utils.py
new file mode 100644
index 000000000..881d3c705
--- /dev/null
+++ b/tools/server/tests/utils.py
@@ -0,0 +1,564 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+
+# type: ignore[reportUnusedImport]
+
+import subprocess
+import os
+import re
+import json
+import sys
+import requests
+import time
+from concurrent.futures import ThreadPoolExecutor, as_completed
+from typing import (
+    Any,
+    Callable,
+    ContextManager,
+    Iterable,
+    Iterator,
+    List,
+    Literal,
+    Tuple,
+    Set,
+)
+from re import RegexFlag
+import wget
+
+
+DEFAULT_HTTP_TIMEOUT = 12
+
+if "LLAMA_SANITIZE" in os.environ or "GITHUB_ACTION" in os.environ:
+    DEFAULT_HTTP_TIMEOUT = 30
+
+
+class ServerResponse:
+    headers: dict
+    status_code: int
+    body: dict | Any
+
+
+class ServerProcess:
+    # default options
+    debug: bool = False
+    server_port: int = 8080
+    server_host: str = "127.0.0.1"
+    model_hf_repo: str = "ggml-org/models"
+    model_hf_file: str | None = "tinyllamas/stories260K.gguf"
+    model_alias: str = "tinyllama-2"
+    temperature: float = 0.8
+    seed: int = 42
+
+    # custom options
+    model_alias: str | None = None
+    model_url: str | None = None
+    model_file: str | None = None
+    model_draft: str | None = None
+    n_threads: int | None = None
+    n_gpu_layer: int | None = None
+    n_batch: int | None = None
+    n_ubatch: int | None = None
+    n_ctx: int | None = None
+    n_ga: int | None = None
+    n_ga_w: int | None = None
+    n_predict: int | None = None
+    n_prompts: int | None = 0
+    slot_save_path: str | None = None
+    id_slot: int | None = None
+    cache_prompt: bool | None = None
+    n_slots: int | None = None
+    ctk: str | None = None
+    ctv: str | None = None
+    fa: bool | None = None
+    server_continuous_batching: bool | None = False
+    server_embeddings: bool | None = False
+    server_reranking: bool | None = False
+    server_metrics: bool | None = False
+    server_slots: bool | None = False
+    pooling: str | None = None
+    draft: int | None = None
+    api_key: str | None = None
+    lora_files: List[str] | None = None
+    disable_ctx_shift: int | None = False
+    draft_min: int | None = None
+    draft_max: int | None = None
+    no_webui: bool | None = None
+    jinja: bool | None = None
+    reasoning_format: Literal['deepseek', 'none', 'nothink'] | None = None
+    reasoning_budget: int | None = None
+    chat_template: str | None = None
+    chat_template_file: str | None = None
+    server_path: str | None = None
+    mmproj_url: str | None = None
+
+    # session variables
+    process: subprocess.Popen | None = None
+
+    def __init__(self):
+        if "N_GPU_LAYERS" in os.environ:
+            self.n_gpu_layer = int(os.environ["N_GPU_LAYERS"])
+        if "DEBUG" in os.environ:
+            self.debug = True
+        if "PORT" in os.environ:
+            self.server_port = int(os.environ["PORT"])
+
+    def start(self, timeout_seconds: int | None = DEFAULT_HTTP_TIMEOUT) -> None:
+        if self.server_path is not None:
+            server_path = self.server_path
+        elif "LLAMA_SERVER_BIN_PATH" in os.environ:
+            server_path = os.environ["LLAMA_SERVER_BIN_PATH"]
+        elif os.name == "nt":
+            server_path = "../../../build/bin/Release/llama-server.exe"
+        else:
+            server_path = "../../../build/bin/llama-server"
+        server_args = [
+            "--host",
+            self.server_host,
+            "--port",
+            self.server_port,
+            "--temp",
+            self.temperature,
+            "--seed",
+            self.seed,
+        ]
+        if self.model_file:
+            server_args.extend(["--model", self.model_file])
+        if self.model_url:
+            server_args.extend(["--model-url", self.model_url])
+        if self.model_draft:
+            server_args.extend(["--model-draft", self.model_draft])
+        if self.model_hf_repo:
+            server_args.extend(["--hf-repo", self.model_hf_repo])
+        if self.model_hf_file:
+            server_args.extend(["--hf-file", self.model_hf_file])
+        if self.n_batch:
+            server_args.extend(["--batch-size", self.n_batch])
+        if self.n_ubatch:
+            server_args.extend(["--ubatch-size", self.n_ubatch])
+        if self.n_threads:
+            server_args.extend(["--threads", self.n_threads])
+        if self.n_gpu_layer:
+            server_args.extend(["--n-gpu-layers", self.n_gpu_layer])
+        if self.draft is not None:
+            server_args.extend(["--draft", self.draft])
+        if self.server_continuous_batching:
+            server_args.append("--cont-batching")
+        if self.server_embeddings:
+            server_args.append("--embedding")
+        if self.server_reranking:
+            server_args.append("--reranking")
+        if self.server_metrics:
+            server_args.append("--metrics")
+        if self.server_slots:
+            server_args.append("--slots")
+        if self.pooling:
+            server_args.extend(["--pooling", self.pooling])
+        if self.model_alias:
+            server_args.extend(["--alias", self.model_alias])
+        if self.n_ctx:
+            server_args.extend(["--ctx-size", self.n_ctx])
+        if self.n_slots:
+            server_args.extend(["--parallel", self.n_slots])
+        if self.ctk:
+            server_args.extend(["-ctk", self.ctk])
+        if self.ctv:
+            server_args.extend(["-ctv", self.ctv])
+        if self.fa is not None:
+            server_args.append("-fa")
+        if self.n_predict:
+            server_args.extend(["--n-predict", self.n_predict])
+        if self.slot_save_path:
+            server_args.extend(["--slot-save-path", self.slot_save_path])
+        if self.n_ga:
+            server_args.extend(["--grp-attn-n", self.n_ga])
+        if self.n_ga_w:
+            server_args.extend(["--grp-attn-w", self.n_ga_w])
+        if self.debug:
+            server_args.append("--verbose")
+        if self.lora_files:
+            for lora_file in self.lora_files:
+                server_args.extend(["--lora", lora_file])
+        if self.disable_ctx_shift:
+            server_args.extend(["--no-context-shift"])
+        if self.api_key:
+            server_args.extend(["--api-key", self.api_key])
+        if self.draft_max:
+            server_args.extend(["--draft-max", self.draft_max])
+        if self.draft_min:
+            server_args.extend(["--draft-min", self.draft_min])
+        if self.no_webui:
+            server_args.append("--no-webui")
+        if self.jinja:
+            server_args.append("--jinja")
+        if self.reasoning_format is not None:
+            server_args.extend(("--reasoning-format", self.reasoning_format))
+        if self.reasoning_budget is not None:
+            server_args.extend(("--reasoning-budget", self.reasoning_budget))
+        if self.chat_template:
+            server_args.extend(["--chat-template", self.chat_template])
+        if self.chat_template_file:
+            server_args.extend(["--chat-template-file", self.chat_template_file])
+        if self.mmproj_url:
+            server_args.extend(["--mmproj-url", self.mmproj_url])
+
+        args = [str(arg) for arg in [server_path, *server_args]]
+        print(f"tests: starting server with: {' '.join(args)}")
+
+        flags = 0
+        if "nt" == os.name:
+            flags |= subprocess.DETACHED_PROCESS
+            flags |= subprocess.CREATE_NEW_PROCESS_GROUP
+            flags |= subprocess.CREATE_NO_WINDOW
+
+        self.process = subprocess.Popen(
+            [str(arg) for arg in [server_path, *server_args]],
+            creationflags=flags,
+            stdout=sys.stdout,
+            stderr=sys.stdout,
+            env={**os.environ, "LLAMA_CACHE": "tmp"} if "LLAMA_CACHE" not in os.environ else None,
+        )
+        server_instances.add(self)
+
+        print(f"server pid={self.process.pid}, pytest pid={os.getpid()}")
+
+        # wait for server to start
+        start_time = time.time()
+        while time.time() - start_time < timeout_seconds:
+            try:
+                response = self.make_request("GET", "/health", headers={
+                    "Authorization": f"Bearer {self.api_key}" if self.api_key else None
+                })
+                if response.status_code == 200:
+                    self.ready = True
+                    return  # server is ready
+            except Exception as e:
+                pass
+            # Check if process died
+            if self.process.poll() is not None:
+                raise RuntimeError(f"Server process died with return code {self.process.returncode}")
+
+            print(f"Waiting for server to start...")
+            time.sleep(0.5)
+        raise TimeoutError(f"Server did not start within {timeout_seconds} seconds")
+
+    def stop(self) -> None:
+        if self in server_instances:
+            server_instances.remove(self)
+        if self.process:
+            print(f"Stopping server with pid={self.process.pid}")
+            self.process.kill()
+            self.process = None
+
+    def make_request(
+        self,
+        method: str,
+        path: str,
+        data: dict | Any | None = None,
+        headers: dict | None = None,
+        timeout: float | None = None,
+    ) -> ServerResponse:
+        url = f"http://{self.server_host}:{self.server_port}{path}"
+        parse_body = False
+        if method == "GET":
+            response = requests.get(url, headers=headers, timeout=timeout)
+            parse_body = True
+        elif method == "POST":
+            response = requests.post(url, headers=headers, json=data, timeout=timeout)
+            parse_body = True
+        elif method == "OPTIONS":
+            response = requests.options(url, headers=headers, timeout=timeout)
+        else:
+            raise ValueError(f"Unimplemented method: {method}")
+        result = ServerResponse()
+        result.headers = dict(response.headers)
+        result.status_code = response.status_code
+        result.body = response.json() if parse_body else None
+        print("Response from server", json.dumps(result.body, indent=2))
+        return result
+
+    def make_stream_request(
+        self,
+        method: str,
+        path: str,
+        data: dict | None = None,
+        headers: dict | None = None,
+    ) -> Iterator[dict]:
+        url = f"http://{self.server_host}:{self.server_port}{path}"
+        if method == "POST":
+            response = requests.post(url, headers=headers, json=data, stream=True)
+        else:
+            raise ValueError(f"Unimplemented method: {method}")
+        for line_bytes in response.iter_lines():
+            line = line_bytes.decode("utf-8")
+            if '[DONE]' in line:
+                break
+            elif line.startswith('data: '):
+                data = json.loads(line[6:])
+                print("Partial response from server", json.dumps(data, indent=2))
+                yield data
+
+    def make_any_request(
+        self,
+        method: str,
+        path: str,
+        data: dict | None = None,
+        headers: dict | None = None,
+        timeout: float | None = None,
+    ) -> dict:
+        stream = data.get('stream', False)
+        if stream:
+            content: list[str] = []
+            reasoning_content: list[str] = []
+            tool_calls: list[dict] = []
+            finish_reason: Optional[str] = None
+
+            content_parts = 0
+            reasoning_content_parts = 0
+            tool_call_parts = 0
+            arguments_parts = 0
+
+            for chunk in self.make_stream_request(method, path, data, headers):
+                if chunk['choices']:
+                    assert len(chunk['choices']) == 1, f'Expected 1 choice, got {len(chunk["choices"])}'
+                    choice = chunk['choices'][0]
+                    if choice['delta'].get('content') is not None:
+                        assert len(choice['delta']['content']) > 0, f'Expected non empty content delta!'
+                        content.append(choice['delta']['content'])
+                        content_parts += 1
+                    if choice['delta'].get('reasoning_content') is not None:
+                        assert len(choice['delta']['reasoning_content']) > 0, f'Expected non empty reasoning_content delta!'
+                        reasoning_content.append(choice['delta']['reasoning_content'])
+                        reasoning_content_parts += 1
+                    if choice['delta'].get('finish_reason') is not None:
+                        finish_reason = choice['delta']['finish_reason']
+                    for tc in choice['delta'].get('tool_calls', []):
+                        if 'function' not in tc:
+                            raise ValueError(f"Expected function type, got {tc['type']}")
+                        if tc['index'] >= len(tool_calls):
+                            assert 'id' in tc
+                            assert tc.get('type') == 'function'
+                            assert 'function' in tc and 'name' in tc['function'] and len(tc['function']['name']) > 0, \
+                                f"Expected function call with name, got {tc.get('function')}"
+                            tool_calls.append(dict(
+                                id="",
+                                type="function",
+                                function=dict(
+                                    name="",
+                                    arguments="",
+                                )
+                            ))
+                        tool_call = tool_calls[tc['index']]
+                        if tc.get('id') is not None:
+                            tool_call['id'] = tc['id']
+                        fct = tc['function']
+                        assert 'id' not in fct, f"Function call should not have id: {fct}"
+                        if fct.get('name') is not None:
+                            tool_call['function']['name'] = tool_call['function'].get('name', '') + fct['name']
+                        if fct.get('arguments') is not None:
+                            tool_call['function']['arguments'] += fct['arguments']
+                            arguments_parts += 1
+                        tool_call_parts += 1
+                else:
+                    # When `include_usage` is True (the default), we expect the last chunk of the stream
+                    # immediately preceding the `data: [DONE]` message to contain a `choices` field with an empty array
+                    # and a `usage` field containing the usage statistics (n.b., llama-server also returns `timings` in
+                    # the last chunk)
+                    assert 'usage' in chunk, f"Expected finish_reason in chunk: {chunk}"
+                    assert 'timings' in chunk, f"Expected finish_reason in chunk: {chunk}"
+            print(f'Streamed response had {content_parts} content parts, {reasoning_content_parts} reasoning_content parts, {tool_call_parts} tool call parts incl. {arguments_parts} arguments parts')
+            result = dict(
+                choices=[
+                    dict(
+                        index=0,
+                        finish_reason=finish_reason,
+                        message=dict(
+                            role='assistant',
+                            content=''.join(content) if content else None,
+                            reasoning_content=''.join(reasoning_content) if reasoning_content else None,
+                            tool_calls=tool_calls if tool_calls else None,
+                        ),
+                    )
+                ],
+            )
+            print("Final response from server", json.dumps(result, indent=2))
+            return result
+        else:
+            response = self.make_request(method, path, data, headers, timeout=timeout)
+            assert response.status_code == 200, f"Server returned error: {response.status_code}"
+            return response.body
+
+
+
+server_instances: Set[ServerProcess] = set()
+
+
+class ServerPreset:
+    @staticmethod
+    def tinyllama2() -> ServerProcess:
+        server = ServerProcess()
+        server.model_hf_repo = "ggml-org/models"
+        server.model_hf_file = "tinyllamas/stories260K.gguf"
+        server.model_alias = "tinyllama-2"
+        server.n_ctx = 512
+        server.n_batch = 32
+        server.n_slots = 2
+        server.n_predict = 64
+        server.seed = 42
+        return server
+
+    @staticmethod
+    def bert_bge_small() -> ServerProcess:
+        server = ServerProcess()
+        server.model_hf_repo = "ggml-org/models"
+        server.model_hf_file = "bert-bge-small/ggml-model-f16.gguf"
+        server.model_alias = "bert-bge-small"
+        server.n_ctx = 512
+        server.n_batch = 128
+        server.n_ubatch = 128
+        server.n_slots = 2
+        server.seed = 42
+        server.server_embeddings = True
+        return server
+
+    @staticmethod
+    def bert_bge_small_with_fa() -> ServerProcess:
+        server = ServerProcess()
+        server.model_hf_repo = "ggml-org/models"
+        server.model_hf_file = "bert-bge-small/ggml-model-f16.gguf"
+        server.model_alias = "bert-bge-small"
+        server.n_ctx = 1024
+        server.n_batch = 300
+        server.n_ubatch = 300
+        server.n_slots = 2
+        server.fa = True
+        server.seed = 42
+        server.server_embeddings = True
+        return server
+
+    @staticmethod
+    def tinyllama_infill() -> ServerProcess:
+        server = ServerProcess()
+        server.model_hf_repo = "ggml-org/models"
+        server.model_hf_file = "tinyllamas/stories260K-infill.gguf"
+        server.model_alias = "tinyllama-infill"
+        server.n_ctx = 2048
+        server.n_batch = 1024
+        server.n_slots = 1
+        server.n_predict = 64
+        server.temperature = 0.0
+        server.seed = 42
+        return server
+
+    @staticmethod
+    def stories15m_moe() -> ServerProcess:
+        server = ServerProcess()
+        server.model_hf_repo = "ggml-org/stories15M_MOE"
+        server.model_hf_file = "stories15M_MOE-F16.gguf"
+        server.model_alias = "stories15m-moe"
+        server.n_ctx = 2048
+        server.n_batch = 1024
+        server.n_slots = 1
+        server.n_predict = 64
+        server.temperature = 0.0
+        server.seed = 42
+        return server
+
+    @staticmethod
+    def jina_reranker_tiny() -> ServerProcess:
+        server = ServerProcess()
+        server.model_hf_repo = "ggml-org/models"
+        server.model_hf_file = "jina-reranker-v1-tiny-en/ggml-model-f16.gguf"
+        server.model_alias = "jina-reranker"
+        server.n_ctx = 512
+        server.n_batch = 512
+        server.n_slots = 1
+        server.seed = 42
+        server.server_reranking = True
+        return server
+
+    @staticmethod
+    def tinygemma3() -> ServerProcess:
+        server = ServerProcess()
+        # mmproj is already provided by HF registry API
+        server.model_hf_repo = "ggml-org/tinygemma3-GGUF"
+        server.model_hf_file = "tinygemma3-Q8_0.gguf"
+        server.mmproj_url = "https://huggingface.co/ggml-org/tinygemma3-GGUF/resolve/main/mmproj-tinygemma3.gguf"
+        server.model_alias = "tinygemma3"
+        server.n_ctx = 1024
+        server.n_batch = 32
+        server.n_slots = 2
+        server.n_predict = 4
+        server.seed = 42
+        return server
+
+
+def parallel_function_calls(function_list: List[Tuple[Callable[..., Any], Tuple[Any, ...]]]) -> List[Any]:
+    """
+    Run multiple functions in parallel and return results in the same order as calls. Equivalent to Promise.all in JS.
+
+    Example usage:
+
+    results = parallel_function_calls([
+        (func1, (arg1, arg2)),
+        (func2, (arg3, arg4)),
+    ])
+    """
+    results = [None] * len(function_list)
+    exceptions = []
+
+    def worker(index, func, args):
+        try:
+            result = func(*args)
+            results[index] = result
+        except Exception as e:
+            exceptions.append((index, str(e)))
+
+    with ThreadPoolExecutor() as executor:
+        futures = []
+        for i, (func, args) in enumerate(function_list):
+            future = executor.submit(worker, i, func, args)
+            futures.append(future)
+
+        # Wait for all futures to complete
+        for future in as_completed(futures):
+            pass
+
+    # Check if there were any exceptions
+    if exceptions:
+        print("Exceptions occurred:")
+        for index, error in exceptions:
+            print(f"Function at index {index}: {error}")
+
+    return results
+
+
+def match_regex(regex: str, text: str) -> bool:
+    return (
+        re.compile(
+            regex, flags=RegexFlag.IGNORECASE | RegexFlag.MULTILINE | RegexFlag.DOTALL
+        ).search(text)
+        is not None
+    )
+
+
+def download_file(url: str, output_file_path: str | None = None) -> str:
+    """
+    Download a file from a URL to a local path. If the file already exists, it will not be downloaded again.
+
+    output_file_path is the local path to save the downloaded file. If not provided, the file will be saved in the root directory.
+
+    Returns the local path of the downloaded file.
+    """
+    file_name = url.split('/').pop()
+    output_file = f'./tmp/{file_name}' if output_file_path is None else output_file_path
+    if not os.path.exists(output_file):
+        print(f"Downloading {url} to {output_file}")
+        wget.download(url, out=output_file)
+        print(f"Done downloading to {output_file}")
+    else:
+        print(f"File already exists at {output_file}")
+    return output_file
+
+
+def is_slow_test_allowed():
+    return os.environ.get("SLOW_TESTS") == "1" or os.environ.get("SLOW_TESTS") == "ON"

From b66e73b8a5691eb600c9f41b4fd31007c600eab7 Mon Sep 17 00:00:00 2001
From: firecoperana <firecoperana>
Date: Sat, 23 Aug 2025 21:47:30 -0500
Subject: [PATCH 02/15] update cmake

---
 tests/CMakeLists.txt | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/tests/CMakeLists.txt b/tests/CMakeLists.txt
index 60a25177e..89d0ec265 100644
--- a/tests/CMakeLists.txt
+++ b/tests/CMakeLists.txt
@@ -90,11 +90,11 @@ endif ()
 
 if (NOT WIN32)
     # these tests are disabled on Windows because they use internal functions not exported with LLAMA_API
-    llama_target_and_test(test-sampling.cpp)
-    llama_target_and_test(test-grammar-parser.cpp)
-    llama_target_and_test(test-grammar-integration.cpp)
-    llama_target_and_test(test-llama-grammar.cpp)
-    llama_target_and_test(test-chat.cpp)
+    #llama_target_and_test(test-sampling.cpp)
+    #llama_target_and_test(test-grammar-parser.cpp)
+    #llama_target_and_test(test-grammar-integration.cpp)
+    #llama_target_and_test(test-llama-grammar.cpp)
+    #llama_target_and_test(test-chat.cpp)
     # TODO: disabled on loongarch64 because the ggml-ci node lacks Python 3.8
     if (NOT ${CMAKE_SYSTEM_PROCESSOR} MATCHES "loongarch64")
         llama_target_and_test(test-json-schema-to-grammar.cpp   WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}/..)

From 33e3c1f3d6452b7b1f7239503b352c7dbbca0123 Mon Sep 17 00:00:00 2001
From: firecoperana <firecoperana>
Date: Sun, 24 Aug 2025 07:20:53 -0500
Subject: [PATCH 03/15] revert api for /completions

---
 examples/server/server.cpp | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/examples/server/server.cpp b/examples/server/server.cpp
index b66508268..493b522b3 100644
--- a/examples/server/server.cpp
+++ b/examples/server/server.cpp
@@ -4627,7 +4627,7 @@ int main(int argc, char ** argv) {
     svr->Get ("/props",               handle_props);
     svr->Get ("/v1/models",           handle_models);
     svr->Post("/completion",          handle_completions); // legacy
-    svr->Post("/completions", handle_completions_oai);
+    svr->Post("/completions", handle_completions); // legacy
     svr->Post("/v1/completions",     handle_completions_oai);
     svr->Post("/chat/completions",    handle_chat_completions);
     svr->Post("/v1/chat/completions", handle_chat_completions);

From 506f85d4cf69adc32d3476cc1b6a44f7d3cc7dd6 Mon Sep 17 00:00:00 2001
From: firecoperana <firecoperana>
Date: Sun, 24 Aug 2025 20:50:08 -0500
Subject: [PATCH 04/15] Fix broken thinking process for gpt-oss

---
 examples/server/public/index.html.gz          | Bin 1292778 -> 1292790 bytes
 examples/server/webui/dist/index.html         |   2 +-
 .../webui/src/components/ChatMessage.tsx      |   5 +++--
 3 files changed, 4 insertions(+), 3 deletions(-)

diff --git a/examples/server/public/index.html.gz b/examples/server/public/index.html.gz
index 9f88ca2a29f14648f9aa18661e4ee9308028c5a4..69a579db986b3bde25e0be40435d037e3642f6a9 100644
GIT binary patch
delta 897889
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diff --git a/examples/server/webui/src/components/ChatMessage.tsx b/examples/server/webui/src/components/ChatMessage.tsx
index 8f7e4b730..23a7b6708 100644
--- a/examples/server/webui/src/components/ChatMessage.tsx
+++ b/examples/server/webui/src/components/ChatMessage.tsx
@@ -55,9 +55,10 @@ export default function ChatMessage({
   const { content, thought, isThinking }: SplitMessage = useMemo(() => {
     if (msg.content === null || msg.role !== 'assistant') {
       return { content: msg.content };
-    }
+    }      
+
     const REGEX_THINK_OPEN = /<think>|<\|channel\|>analysis<\|message\|>/;
-    const REGEX_THINK_CLOSE = /<\/think>|<\|end\|>/;
+    const REGEX_THINK_CLOSE = /<\/think>|<\|end\|>|<\|start\|>assistant<\|channel\|>final<\|message\|>/;
     let actualContent = '';
     let thought = '';
     let isThinking = false;

From 49a088cb795edea72c18efa79868b24c5213eba3 Mon Sep 17 00:00:00 2001
From: firecoperana <firecoperana>
Date: Mon, 25 Aug 2025 20:30:10 -0500
Subject: [PATCH 05/15] add missing args and fix webui bugs

---
 common/common.cpp                       | 19 +++++++++++++++++++
 examples/server/server.cpp              |  4 ++--
 examples/server/webui/src/utils/misc.ts |  2 +-
 3 files changed, 22 insertions(+), 3 deletions(-)

diff --git a/common/common.cpp b/common/common.cpp
index 29b7e8605..2b7a17b30 100644
--- a/common/common.cpp
+++ b/common/common.cpp
@@ -1516,10 +1516,21 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
         return true;
     }
     if (arg == "--jinja") {
+        CHECK_ARG
         params.use_jinja = true;
         return true;
     }
+    if (arg == "--chat-template-kwargs") {
+        CHECK_ARG
+        std::string value = argv[i];
+        auto parsed = json::parse(value);
+        for (const auto& item : parsed.items()) {
+            params.default_template_kwargs[item.key()] = item.value().dump();
+        }
+        return true;
+    }
     if (arg == "--reasoning-format") {
+        CHECK_ARG
         std::string value = argv[i];
         if (value == "deepseek") { params.reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK; }
         else if (value == "none") { params.reasoning_format = COMMON_REASONING_FORMAT_NONE; }
@@ -1527,6 +1538,11 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
         params.reasoning_format = common_reasoning_format_from_name(value);
         return true;
     }
+    if (arg == "--no-prefill-assistant") {
+        CHECK_ARG
+        params.prefill_assistant = false;
+        return true;
+    }
     if (arg == "--slot-prompt-similarity" || arg == "-sps") {
         CHECK_ARG
         params.slot_prompt_similarity = std::stof(argv[i]);
@@ -1846,7 +1862,10 @@ void gpt_params_print_usage(int /*argc*/, char ** argv, const gpt_params & param
                         "- none: leaves thoughts unparsed in `message.content`\n"
                         "- deepseek: puts thoughts in `message.reasoning_content` (except in streaming mode, which behaves as `none`)\n"
                         "(default: none)", });
+    options.push_back({ "main",      "       --chat-template-kwargs JSON",  "sets additional params for the json template parser"});
     options.push_back({ "main",      "       --reasoning-budget N",  "controls the amount of thinking allowed; currently only one of: -1 for unrestricted thinking budget, or 0 to disable thinking (default: -1)" });
+    options.push_back({ "main",      "       --no-prefill-assistant",  "whether to prefill the assistant's response if the last message is an assistant message (default: prefill enabled)\n"
+            "when this flag is set, if the last message is an assistant message then it will be treated as a full message and not prefilled\n" });
     options.push_back({ "grammar" });
     options.push_back({ "*",           "       --grammar GRAMMAR",      "BNF-like grammar to constrain generations (see samples in grammars/ dir) (default: '%s')", sparams.grammar.c_str() });
     options.push_back({ "*",           "       --grammar-file FNAME",   "file to read grammar from" });
diff --git a/examples/server/server.cpp b/examples/server/server.cpp
index 927cabe10..2fb2a2789 100644
--- a/examples/server/server.cpp
+++ b/examples/server/server.cpp
@@ -2132,7 +2132,7 @@ struct server_context {
         res.id       = slot.id_task;
         res.id_multi = slot.id_multi;
         res.error    = false;
-        res.stop = slot.stop; // to do: set value
+        res.stop = true; // to do: set value
         res.stream = slot.params.stream;
         res.content = slot.generated_text;
         res.oaicompat = slot.params.oaicompat;
@@ -4352,7 +4352,7 @@ int main(int argc, char ** argv) {
                     }
                 }
                 bool ok = true;
-                if (send_done && successful_completion) {
+                if (successful_completion) {
                     static const std::string done_message = "data: [DONE]\n\n";
                     LOG_VERBOSE("data stream", {{"to_send", done_message}});
                     if (!sink.write(done_message.c_str(), done_message.size())) {
diff --git a/examples/server/webui/src/utils/misc.ts b/examples/server/webui/src/utils/misc.ts
index 6550175c6..bf63dcbd4 100644
--- a/examples/server/webui/src/utils/misc.ts
+++ b/examples/server/webui/src/utils/misc.ts
@@ -92,7 +92,7 @@ export function filterThoughtFromMsgs(messages: APIMessage[]) {
       content:
         msg.role === 'assistant'
           ? contentStr
-              .split(/<\/think>|<\|end\|>/)
+              .split(/<\/think>|<\|end\|>|<\|message\|>/)
               .at(-1)!
               .trim()
           : contentStr,

From 0c4e2cc2aef955f5d47a22726120f7c77654f86e Mon Sep 17 00:00:00 2001
From: firecoperana <firecoperana>
Date: Mon, 25 Aug 2025 20:30:10 -0500
Subject: [PATCH 06/15] add missing args and fix webui bugs2

---
 examples/server/public/index.html.gz  | Bin 1292790 -> 1292796 bytes
 examples/server/webui/dist/index.html |   2 +-
 2 files changed, 1 insertion(+), 1 deletion(-)

diff --git a/examples/server/public/index.html.gz b/examples/server/public/index.html.gz
index 69a579db986b3bde25e0be40435d037e3642f6a9..bb7859879a4d6731cac2d42984605eeb7d4562af 100644
GIT binary patch
delta 1050634
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diff --git a/examples/server/webui/dist/index.html b/examples/server/webui/dist/index.html
index c7e080983..656e644c1 100644
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 Copyright (c) Microsoft Corporation.

From 5877b06b9c664a88beb7364d95222e03f336ce22 Mon Sep 17 00:00:00 2001
From: firecoperana <firecoperana>
Date: Mon, 25 Aug 2025 21:47:16 -0500
Subject: [PATCH 07/15] Fix reasoning format error

---
 common/common.cpp | 4 ----
 1 file changed, 4 deletions(-)

diff --git a/common/common.cpp b/common/common.cpp
index 2b7a17b30..19a6f42a9 100644
--- a/common/common.cpp
+++ b/common/common.cpp
@@ -1516,7 +1516,6 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
         return true;
     }
     if (arg == "--jinja") {
-        CHECK_ARG
         params.use_jinja = true;
         return true;
     }
@@ -1532,9 +1531,6 @@ bool gpt_params_find_arg(int argc, char ** argv, const std::string & arg, gpt_pa
     if (arg == "--reasoning-format") {
         CHECK_ARG
         std::string value = argv[i];
-        if (value == "deepseek") { params.reasoning_format = COMMON_REASONING_FORMAT_DEEPSEEK; }
-        else if (value == "none") { params.reasoning_format = COMMON_REASONING_FORMAT_NONE; }
-        else { std::invalid_argument("invalid value"); }
         params.reasoning_format = common_reasoning_format_from_name(value);
         return true;
     }

From 460658bdcbb81eef701fdeda1d28ecba3cca4454 Mon Sep 17 00:00:00 2001
From: firecoperana <firecoperana>
Date: Wed, 27 Aug 2025 19:32:03 -0500
Subject: [PATCH 08/15] add usage

---
 examples/server/server.cpp | 100 +++++++++++++++++++++++++++++++------
 1 file changed, 84 insertions(+), 16 deletions(-)

diff --git a/examples/server/server.cpp b/examples/server/server.cpp
index 2fb2a2789..f896738b3 100644
--- a/examples/server/server.cpp
+++ b/examples/server/server.cpp
@@ -183,7 +183,7 @@ struct server_task_result {
     bool has_new_line;
     std::string stopping_word;
 
-    bool post_sampling_probs;
+    bool post_sampling_probs = false;
     std::vector<completion_token_output> probs_output;
     std::vector<std::string>  response_fields;
 
@@ -203,9 +203,9 @@ struct server_task_result {
     json to_json_final() {
         switch (oaicompat) {
         case OAICOMPAT_TYPE_NONE:
-            return to_json_non_oaicompat();
+            return to_json_non_oaicompat_final();
         case OAICOMPAT_TYPE_COMPLETION:
-            return to_json_oaicompat();
+            return to_json_oaicompat_final();
         case OAICOMPAT_TYPE_CHAT:
             return stream ? to_json_oaicompat_chat_stream() : to_json_oaicompat_chat_final();
         default:
@@ -216,9 +216,9 @@ struct server_task_result {
     json to_json_partial() {
         switch (oaicompat) {
         case OAICOMPAT_TYPE_NONE:
-            return to_json_non_oaicompat();
+            return to_json_non_oaicompat_partial();
         case OAICOMPAT_TYPE_COMPLETION:
-            return to_json_oaicompat();
+            return to_json_oaicompat_partial();
         case OAICOMPAT_TYPE_CHAT:
             return  to_json_oaicompat_chat_partial();
         default:
@@ -226,7 +226,28 @@ struct server_task_result {
         }
     }
 
-    json to_json_non_oaicompat() {
+    json to_json_non_oaicompat_partial() {
+        // non-OAI-compat JSON
+        json res = json{
+            {"index",            index},
+            {"content",          content},
+            {"tokens",           tokens},
+            {"stop",             false},
+            {"id_slot",          id_multi},
+            {"tokens_predicted", n_decoded},
+            {"tokens_evaluated", n_prompt_tokens},
+        };
+        // populate the timings object when needed (usually for the last response or with timings_per_token enabled)
+        if (timings.prompt_n > 0) {
+            res.push_back({ "timings", timings.to_json() });
+        }
+        if (!probs_output.empty()) {
+            res["completion_probabilities"] = completion_token_output::probs_vector_to_json(probs_output, post_sampling_probs);
+        }
+        return res;
+    }
+
+    json to_json_non_oaicompat_final() {
         json res = json{
             {"index",               index},
             {"content",             stream ? "" : content}, // in stream mode, content is already in last partial chunk
@@ -251,7 +272,7 @@ struct server_task_result {
         return response_fields.empty() ? res : json_get_nested_values(response_fields, res);
     }
 
-    json to_json_oaicompat() {
+    json to_json_oaicompat_partial() {
         std::time_t t = std::time(0);
         json logprobs = json(nullptr); // OAI default to null
         if (!stream && probs_output.size() > 0) {
@@ -286,7 +307,50 @@ struct server_task_result {
 
         // extra fields for debugging purposes
         if (verbose) {
-            res["__verbose"] = to_json_non_oaicompat();
+            res["__verbose"] = to_json_non_oaicompat_partial();
+        }
+        if (timings.prompt_n >= 0) {
+            res.push_back({ "timings", timings.to_json() });
+        }
+
+        return res;
+    }
+
+    json to_json_oaicompat_final() {
+        std::time_t t = std::time(0);
+        json logprobs = json(nullptr); // OAI default to null
+        if (!stream && probs_output.size() > 0) {
+            logprobs = json{
+                {"content", completion_token_output::probs_vector_to_json(probs_output, post_sampling_probs)},
+            };
+        }
+        json finish_reason = "length";
+        if (stop == STOP_TYPE_WORD || stop == STOP_TYPE_EOS) {
+            finish_reason = "stop";
+        }
+        json res = json{
+            {"choices",            json::array({
+                json{
+                    {"text",          stream ? "" : content}, // in stream mode, content is already in last partial chunk
+                    {"index",         index},
+                    {"logprobs",      logprobs},
+                    {"finish_reason", finish_reason},
+                }
+            })},
+            {"created",            t},
+            {"model",              oaicompat_model},
+            {"object",             "text_completion"},
+            {"usage", json {
+                {"completion_tokens", n_decoded},
+                {"prompt_tokens",     n_prompt_tokens},
+                {"total_tokens",      n_decoded + n_prompt_tokens}
+            }},
+            {"id", oaicompat_cmpl_id}
+        };
+
+        // extra fields for debugging purposes
+        if (verbose) {
+            res["__verbose"] = to_json_non_oaicompat_final();
         }
         if (timings.prompt_n >= 0) {
             res.push_back({ "timings", timings.to_json() });
@@ -314,6 +378,11 @@ struct server_task_result {
                 {"id", oaicompat_cmpl_id},
                 {"model", oaicompat_model},
                 {"object", "chat.completion.chunk"},
+                {"usage", json {
+                    {"completion_tokens", n_decoded},
+                    {"prompt_tokens",     n_prompt_tokens},
+                    {"total_tokens",      n_decoded + n_prompt_tokens},
+                }},
                 });
         };
         // We have to send an initial update to conform to openai behavior
@@ -389,7 +458,7 @@ struct server_task_result {
 
         // extra fields for debugging purposes
         if (verbose) {
-            res["__verbose"] = to_json_non_oaicompat();
+            res["__verbose"] = to_json_non_oaicompat_final();
         }
         if (timings.prompt_n >= 0) {
             res.push_back({ "timings", timings.to_json() });
@@ -457,7 +526,7 @@ struct server_task_result {
         }
         // extra fields for debugging purposes
         if (verbose && !deltas.empty()) {
-            deltas.front()["__verbose"] = to_json_non_oaicompat();
+            deltas.front()["__verbose"] = to_json_non_oaicompat_final();
         }
 
         return deltas;
@@ -2120,7 +2189,6 @@ struct server_context {
         }
         // populate timings if this is final response or timings_per_token is enabled
         if (slot.params.timings_per_token) {
-            //res.data["timings"] = slot.get_formated_timings();
             res.timings = slot.get_timings();
         }
         queue_results.send(std::move(res));
@@ -2143,12 +2211,12 @@ struct server_context {
         res.n_prompt_tokens = slot.n_prompt_tokens;
         res.oaicompat_model = slot.oaicompat_model;
         res.data     = json {
-            //{"content",             !slot.params.stream ? slot.generated_text : ""},
+            {"content",             !slot.params.stream ? slot.generated_text : ""},
             {"id_slot",             slot.id},
             {"stop",                true},
             {"model",               params.model_alias},
-            //{"tokens_predicted",    slot.n_decoded},
-            //{"tokens_evaluated",    slot.n_prompt_tokens},
+            {"tokens_predicted",    slot.n_decoded},
+            {"tokens_evaluated",    slot.n_prompt_tokens},
             {"generation_settings", get_formated_generation(slot)},
             {"prompt",              slot.prompt},
             {"truncated",           slot.truncated},
@@ -2157,7 +2225,7 @@ struct server_context {
             {"stopped_limit",       slot.stopped_limit},
             {"stopping_word",       slot.stopping_word},
             {"tokens_cached",       slot.n_past},
-            //{"timings",             slot.get_formated_timings()},
+            {"timings",             slot.get_formated_timings()},
             //{"oaicompat_chat_format",  slot.params.oaicompat_chat_format},
         };
 
@@ -2176,7 +2244,7 @@ struct server_context {
                         slot.generated_token_probs.end());
             }
             //res.generation_params = slot.params;
-            //res.data["completion_probabilities"] = probs_vector_to_json(ctx, probs);
+            res.data["completion_probabilities"] = probs_vector_to_json(ctx, probs);
         }
 
         res.timings = slot.get_timings();

From 81097fb89c5934b6629fd341ec84862c529bfa7c Mon Sep 17 00:00:00 2001
From: firecoperana <firecoperana>
Date: Thu, 28 Aug 2025 17:14:51 -0500
Subject: [PATCH 09/15] change default post_sampling_probs to true

---
 examples/server/server.cpp | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/examples/server/server.cpp b/examples/server/server.cpp
index f896738b3..95735b269 100644
--- a/examples/server/server.cpp
+++ b/examples/server/server.cpp
@@ -183,7 +183,7 @@ struct server_task_result {
     bool has_new_line;
     std::string stopping_word;
 
-    bool post_sampling_probs = false;
+    bool post_sampling_probs = true;
     std::vector<completion_token_output> probs_output;
     std::vector<std::string>  response_fields;
 

From 17c9bec29aacf8b412e97fc72fd89753b1754916 Mon Sep 17 00:00:00 2001
From: firecoperana <firecoperana>
Date: Thu, 28 Aug 2025 20:03:28 -0500
Subject: [PATCH 10/15] add back generated_text

---
 examples/server/server.cpp | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/examples/server/server.cpp b/examples/server/server.cpp
index 95735b269..fc1088e71 100644
--- a/examples/server/server.cpp
+++ b/examples/server/server.cpp
@@ -183,7 +183,7 @@ struct server_task_result {
     bool has_new_line;
     std::string stopping_word;
 
-    bool post_sampling_probs = true;
+    bool post_sampling_probs = false;
     std::vector<completion_token_output> probs_output;
     std::vector<std::string>  response_fields;
 
@@ -2212,6 +2212,7 @@ struct server_context {
         res.oaicompat_model = slot.oaicompat_model;
         res.data     = json {
             {"content",             !slot.params.stream ? slot.generated_text : ""},
+            {"generated_text",      slot.generated_text},  // Always include full text for finish_reason logic
             {"id_slot",             slot.id},
             {"stop",                true},
             {"model",               params.model_alias},

From ffd0f4033645b097717b1785f339ad78ec725e8a Mon Sep 17 00:00:00 2001
From: firecoperana <firecoperana>
Date: Fri, 29 Aug 2025 08:41:16 -0500
Subject: [PATCH 11/15] Remove server endpoints tests

---
 .../server/tests/unit/test_chat_completion.py | 335 ----------
 tools/server/tests/unit/test_completion.py    | 464 -------------
 tools/server/tests/unit/test_template.py      |  83 ---
 tools/server/tests/unit/test_tool_call.py     | 623 ------------------
 tools/server/tests/utils.py                   | 564 ----------------
 5 files changed, 2069 deletions(-)
 delete mode 100644 tools/server/tests/unit/test_chat_completion.py
 delete mode 100644 tools/server/tests/unit/test_completion.py
 delete mode 100644 tools/server/tests/unit/test_template.py
 delete mode 100755 tools/server/tests/unit/test_tool_call.py
 delete mode 100644 tools/server/tests/utils.py

diff --git a/tools/server/tests/unit/test_chat_completion.py b/tools/server/tests/unit/test_chat_completion.py
deleted file mode 100644
index a9c37ec96..000000000
--- a/tools/server/tests/unit/test_chat_completion.py
+++ /dev/null
@@ -1,335 +0,0 @@
-import pytest
-from openai import OpenAI
-from utils import *
-
-server: ServerProcess
-
-@pytest.fixture(autouse=True)
-def create_server():
-    global server
-    server = ServerPreset.tinyllama2()
-
-
-@pytest.mark.parametrize(
-    "model,system_prompt,user_prompt,max_tokens,re_content,n_prompt,n_predicted,finish_reason,jinja,chat_template",
-    [
-        (None, "Book", "Hey", 8, "But she couldn't", 69, 8, "length", False, None),
-        (None, "Book", "Hey", 8, "But she couldn't", 69, 8, "length", True, None),
-        (None, "Book", "What is the best book", 8, "(Suddenly)+|\\{ \" Sarax.", 77, 8, "length", False, None),
-        (None, "Book", "What is the best book", 8, "(Suddenly)+|\\{ \" Sarax.", 77, 8, "length", True,  None),
-        (None, "Book", "What is the best book", 8, "(Suddenly)+|\\{ \" Sarax.", 77, 8, "length", True, 'chatml'),
-        (None, "Book", "What is the best book", 8, "^ blue",                    23, 8, "length", True, "This is not a chat template, it is"),
-        ("codellama70b", "You are a coding assistant.", "Write the fibonacci function in c++.", 128, "(Aside|she|felter|alonger)+", 104, 64, "length", False, None),
-        ("codellama70b", "You are a coding assistant.", "Write the fibonacci function in c++.", 128, "(Aside|she|felter|alonger)+", 104, 64, "length", True, None),
-        (None, "Book", [{"type": "text", "text": "What is"}, {"type": "text", "text": "the best book"}], 8, "Whillicter", 79, 8, "length", False, None),
-        (None, "Book", [{"type": "text", "text": "What is"}, {"type": "text", "text": "the best book"}], 8, "Whillicter", 79, 8, "length", True, None),
-    ]
-)
-def test_chat_completion(model, system_prompt, user_prompt, max_tokens, re_content, n_prompt, n_predicted, finish_reason, jinja, chat_template):
-    global server
-    server.jinja = jinja
-    server.chat_template = chat_template
-    server.start()
-    res = server.make_request("POST", "/chat/completions", data={
-        "model": model,
-        "max_tokens": max_tokens,
-        "messages": [
-            {"role": "system", "content": system_prompt},
-            {"role": "user", "content": user_prompt},
-        ],
-    })
-    assert res.status_code == 200
-    assert "cmpl" in res.body["id"] # make sure the completion id has the expected format
-    assert res.body["system_fingerprint"].startswith("b")
-    assert res.body["model"] == model if model is not None else server.model_alias
-    assert res.body["usage"]["prompt_tokens"] == n_prompt
-    assert res.body["usage"]["completion_tokens"] == n_predicted
-    choice = res.body["choices"][0]
-    assert "assistant" == choice["message"]["role"]
-    assert match_regex(re_content, choice["message"]["content"]), f'Expected {re_content}, got {choice["message"]["content"]}'
-    assert choice["finish_reason"] == finish_reason
-
-
-@pytest.mark.parametrize(
-    "system_prompt,user_prompt,max_tokens,re_content,n_prompt,n_predicted,finish_reason",
-    [
-        ("Book", "What is the best book", 8, "(Suddenly)+", 77, 8, "length"),
-        ("You are a coding assistant.", "Write the fibonacci function in c++.", 128, "(Aside|she|felter|alonger)+", 104, 64, "length"),
-    ]
-)
-def test_chat_completion_stream(system_prompt, user_prompt, max_tokens, re_content, n_prompt, n_predicted, finish_reason):
-    global server
-    server.model_alias = None # try using DEFAULT_OAICOMPAT_MODEL
-    server.start()
-    res = server.make_stream_request("POST", "/chat/completions", data={
-        "max_tokens": max_tokens,
-        "messages": [
-            {"role": "system", "content": system_prompt},
-            {"role": "user", "content": user_prompt},
-        ],
-        "stream": True,
-    })
-    content = ""
-    last_cmpl_id = None
-    for i, data in enumerate(res):
-        if data["choices"]:
-            choice = data["choices"][0]
-            if i == 0:
-                # Check first role message for stream=True
-                assert choice["delta"]["content"] is None
-                assert choice["delta"]["role"] == "assistant"
-            else:
-                assert "role" not in choice["delta"]
-            assert data["system_fingerprint"].startswith("b")
-            assert "gpt-3.5" in data["model"] # DEFAULT_OAICOMPAT_MODEL, maybe changed in the future
-            if last_cmpl_id is None:
-                last_cmpl_id = data["id"]
-            assert last_cmpl_id == data["id"] # make sure the completion id is the same for all events in the stream
-            if choice["finish_reason"] in ["stop", "length"]:
-                assert "content" not in choice["delta"]
-                assert match_regex(re_content, content)
-                assert choice["finish_reason"] == finish_reason
-            else:
-                assert choice["finish_reason"] is None
-                content += choice["delta"]["content"] or ''
-        else:
-            assert data["usage"]["prompt_tokens"] == n_prompt
-            assert data["usage"]["completion_tokens"] == n_predicted
-
-
-def test_chat_completion_with_openai_library():
-    global server
-    server.start()
-    client = OpenAI(api_key="dummy", base_url=f"http://{server.server_host}:{server.server_port}/v1")
-    res = client.chat.completions.create(
-        model="gpt-3.5-turbo-instruct",
-        messages=[
-            {"role": "system", "content": "Book"},
-            {"role": "user", "content": "What is the best book"},
-        ],
-        max_tokens=8,
-        seed=42,
-        temperature=0.8,
-    )
-    assert res.system_fingerprint is not None and res.system_fingerprint.startswith("b")
-    assert res.choices[0].finish_reason == "length"
-    assert res.choices[0].message.content is not None
-    assert match_regex("(Suddenly)+", res.choices[0].message.content)
-
-
-def test_chat_template():
-    global server
-    server.chat_template = "llama3"
-    server.debug = True  # to get the "__verbose" object in the response
-    server.start()
-    res = server.make_request("POST", "/chat/completions", data={
-        "max_tokens": 8,
-        "messages": [
-            {"role": "system", "content": "Book"},
-            {"role": "user", "content": "What is the best book"},
-        ]
-    })
-    assert res.status_code == 200
-    assert "__verbose" in res.body
-    assert res.body["__verbose"]["prompt"] == "<s> <|start_header_id|>system<|end_header_id|>\n\nBook<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nWhat is the best book<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n"
-
-
-def test_apply_chat_template():
-    global server
-    server.chat_template = "command-r"
-    server.start()
-    res = server.make_request("POST", "/apply-template", data={
-        "messages": [
-            {"role": "system", "content": "You are a test."},
-            {"role": "user", "content":"Hi there"},
-        ]
-    })
-    assert res.status_code == 200
-    assert "prompt" in res.body
-    assert res.body["prompt"] == "<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>You are a test.<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|USER_TOKEN|>Hi there<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>"
-
-
-@pytest.mark.parametrize("response_format,n_predicted,re_content", [
-    ({"type": "json_object", "schema": {"const": "42"}}, 6, "\"42\""),
-    ({"type": "json_object", "schema": {"items": [{"type": "integer"}]}}, 10, "[ -3000 ]"),
-    ({"type": "json_schema", "json_schema": {"schema": {"const": "foooooo"}}}, 10, "\"foooooo\""),
-    ({"type": "json_object"}, 10, "(\\{|John)+"),
-    ({"type": "sound"}, 0, None),
-    # invalid response format (expected to fail)
-    ({"type": "json_object", "schema": 123}, 0, None),
-    ({"type": "json_object", "schema": {"type": 123}}, 0, None),
-    ({"type": "json_object", "schema": {"type": "hiccup"}}, 0, None),
-])
-def test_completion_with_response_format(response_format: dict, n_predicted: int, re_content: str | None):
-    global server
-    server.start()
-    res = server.make_request("POST", "/chat/completions", data={
-        "max_tokens": n_predicted,
-        "messages": [
-            {"role": "system", "content": "You are a coding assistant."},
-            {"role": "user", "content": "Write an example"},
-        ],
-        "response_format": response_format,
-    })
-    if re_content is not None:
-        assert res.status_code == 200
-        choice = res.body["choices"][0]
-        assert match_regex(re_content, choice["message"]["content"])
-    else:
-        assert res.status_code != 200
-        assert "error" in res.body
-
-
-@pytest.mark.parametrize("jinja,json_schema,n_predicted,re_content", [
-    (False, {"const": "42"}, 6, "\"42\""),
-    (True, {"const": "42"}, 6, "\"42\""),
-])
-def test_completion_with_json_schema(jinja: bool, json_schema: dict, n_predicted: int, re_content: str):
-    global server
-    server.jinja = jinja
-    server.start()
-    res = server.make_request("POST", "/chat/completions", data={
-        "max_tokens": n_predicted,
-        "messages": [
-            {"role": "system", "content": "You are a coding assistant."},
-            {"role": "user", "content": "Write an example"},
-        ],
-        "json_schema": json_schema,
-    })
-    assert res.status_code == 200, f'Expected 200, got {res.status_code}'
-    choice = res.body["choices"][0]
-    assert match_regex(re_content, choice["message"]["content"]), f'Expected {re_content}, got {choice["message"]["content"]}'
-
-
-@pytest.mark.parametrize("jinja,grammar,n_predicted,re_content", [
-    (False, 'root ::= "a"{5,5}', 6, "a{5,5}"),
-    (True, 'root ::= "a"{5,5}', 6, "a{5,5}"),
-])
-def test_completion_with_grammar(jinja: bool, grammar: str, n_predicted: int, re_content: str):
-    global server
-    server.jinja = jinja
-    server.start()
-    res = server.make_request("POST", "/chat/completions", data={
-        "max_tokens": n_predicted,
-        "messages": [
-            {"role": "user", "content": "Does not matter what I say, does it?"},
-        ],
-        "grammar": grammar,
-    })
-    assert res.status_code == 200, res.body
-    choice = res.body["choices"][0]
-    assert match_regex(re_content, choice["message"]["content"]), choice["message"]["content"]
-
-
-@pytest.mark.parametrize("messages", [
-    None,
-    "string",
-    [123],
-    [{}],
-    [{"role": 123}],
-    [{"role": "system", "content": 123}],
-    # [{"content": "hello"}], # TODO: should not be a valid case
-    [{"role": "system", "content": "test"}, {}],
-])
-def test_invalid_chat_completion_req(messages):
-    global server
-    server.start()
-    res = server.make_request("POST", "/chat/completions", data={
-        "messages": messages,
-    })
-    assert res.status_code == 400 or res.status_code == 500
-    assert "error" in res.body
-
-
-def test_chat_completion_with_timings_per_token():
-    global server
-    server.start()
-    res = server.make_stream_request("POST", "/chat/completions", data={
-        "max_tokens": 10,
-        "messages": [{"role": "user", "content": "test"}],
-        "stream": True,
-        "timings_per_token": True,
-    })
-    for i, data in enumerate(res):
-        if i == 0:
-            # Check first role message for stream=True
-            assert data["choices"][0]["delta"]["content"] is None
-            assert data["choices"][0]["delta"]["role"] == "assistant"
-            assert "timings" not in data, f'First event should not have timings: {data}'
-        else:
-            if data["choices"]:
-                assert "role" not in data["choices"][0]["delta"]
-            else:
-                assert "timings" in data
-                assert "prompt_per_second" in data["timings"]
-                assert "predicted_per_second" in data["timings"]
-                assert "predicted_n" in data["timings"]
-                assert data["timings"]["predicted_n"] <= 10
-
-
-def test_logprobs():
-    global server
-    server.start()
-    client = OpenAI(api_key="dummy", base_url=f"http://{server.server_host}:{server.server_port}/v1")
-    res = client.chat.completions.create(
-        model="gpt-3.5-turbo-instruct",
-        temperature=0.0,
-        messages=[
-            {"role": "system", "content": "Book"},
-            {"role": "user", "content": "What is the best book"},
-        ],
-        max_tokens=5,
-        logprobs=True,
-        top_logprobs=10,
-    )
-    output_text = res.choices[0].message.content
-    aggregated_text = ''
-    assert res.choices[0].logprobs is not None
-    assert res.choices[0].logprobs.content is not None
-    for token in res.choices[0].logprobs.content:
-        aggregated_text += token.token
-        assert token.logprob <= 0.0
-        assert token.bytes is not None
-        assert len(token.top_logprobs) > 0
-    assert aggregated_text == output_text
-
-
-def test_logprobs_stream():
-    global server
-    server.start()
-    client = OpenAI(api_key="dummy", base_url=f"http://{server.server_host}:{server.server_port}/v1")
-    res = client.chat.completions.create(
-        model="gpt-3.5-turbo-instruct",
-        temperature=0.0,
-        messages=[
-            {"role": "system", "content": "Book"},
-            {"role": "user", "content": "What is the best book"},
-        ],
-        max_tokens=5,
-        logprobs=True,
-        top_logprobs=10,
-        stream=True,
-    )
-    output_text = ''
-    aggregated_text = ''
-    for i, data in enumerate(res):
-        if data.choices:
-            choice = data.choices[0]
-            if i == 0:
-                # Check first role message for stream=True
-                assert choice.delta.content is None
-                assert choice.delta.role == "assistant"
-            else:
-                assert choice.delta.role is None
-                if choice.finish_reason is None:
-                    if choice.delta.content:
-                        output_text += choice.delta.content
-                    assert choice.logprobs is not None
-                    assert choice.logprobs.content is not None
-                    for token in choice.logprobs.content:
-                        aggregated_text += token.token
-                        assert token.logprob <= 0.0
-                        assert token.bytes is not None
-                        assert token.top_logprobs is not None
-                        assert len(token.top_logprobs) > 0
-    assert aggregated_text == output_text
diff --git a/tools/server/tests/unit/test_completion.py b/tools/server/tests/unit/test_completion.py
deleted file mode 100644
index f6909e9ae..000000000
--- a/tools/server/tests/unit/test_completion.py
+++ /dev/null
@@ -1,464 +0,0 @@
-import pytest
-import requests
-import time
-from openai import OpenAI
-from utils import *
-
-server = ServerPreset.tinyllama2()
-
-
-@pytest.fixture(scope="module", autouse=True)
-def create_server():
-    global server
-    server = ServerPreset.tinyllama2()
-
-@pytest.mark.parametrize("prompt,n_predict,re_content,n_prompt,n_predicted,truncated,return_tokens", [
-    ("I believe the meaning of life is", 8, "(going|bed)+", 18, 8, False, False),
-    ("Write a joke about AI from a very long prompt which will not be truncated", 256, "(princesses|everyone|kids|Anna|forest)+", 46, 64, False, True),
-])
-def test_completion(prompt: str, n_predict: int, re_content: str, n_prompt: int, n_predicted: int, truncated: bool, return_tokens: bool):
-    global server
-    server.start()
-    res = server.make_request("POST", "/completion", data={
-        "n_predict": n_predict,
-        "prompt": prompt,
-        "return_tokens": return_tokens,
-    })
-    assert res.status_code == 200
-    assert res.body["timings"]["prompt_n"] == n_prompt
-    assert res.body["timings"]["predicted_n"] == n_predicted
-    assert res.body["truncated"] == truncated
-    assert type(res.body["has_new_line"]) == bool
-    assert match_regex(re_content, res.body["content"])
-    if return_tokens:
-        assert len(res.body["tokens"]) > 0
-        assert all(type(tok) == int for tok in res.body["tokens"])
-    else:
-        assert res.body["tokens"] == []
-
-
-@pytest.mark.parametrize("prompt,n_predict,re_content,n_prompt,n_predicted,truncated", [
-    ("I believe the meaning of life is", 8, "(going|bed)+", 18, 8, False),
-    ("Write a joke about AI from a very long prompt which will not be truncated", 256, "(princesses|everyone|kids|Anna|forest)+", 46, 64, False),
-])
-def test_completion_stream(prompt: str, n_predict: int, re_content: str, n_prompt: int, n_predicted: int, truncated: bool):
-    global server
-    server.start()
-    res = server.make_stream_request("POST", "/completion", data={
-        "n_predict": n_predict,
-        "prompt": prompt,
-        "stream": True,
-    })
-    content = ""
-    for data in res:
-        assert "stop" in data and type(data["stop"]) == bool
-        if data["stop"]:
-            assert data["timings"]["prompt_n"] == n_prompt
-            assert data["timings"]["predicted_n"] == n_predicted
-            assert data["truncated"] == truncated
-            assert data["stop_type"] == "limit"
-            assert type(data["has_new_line"]) == bool
-            assert "generation_settings" in data
-            assert server.n_predict is not None
-            assert data["generation_settings"]["n_predict"] == min(n_predict, server.n_predict)
-            assert data["generation_settings"]["seed"] == server.seed
-            assert match_regex(re_content, content)
-        else:
-            assert len(data["tokens"]) > 0
-            assert all(type(tok) == int for tok in data["tokens"])
-            content += data["content"]
-
-
-def test_completion_stream_vs_non_stream():
-    global server
-    server.start()
-    res_stream = server.make_stream_request("POST", "/completion", data={
-        "n_predict": 8,
-        "prompt": "I believe the meaning of life is",
-        "stream": True,
-    })
-    res_non_stream = server.make_request("POST", "/completion", data={
-        "n_predict": 8,
-        "prompt": "I believe the meaning of life is",
-    })
-    content_stream = ""
-    for data in res_stream:
-        content_stream += data["content"]
-    assert content_stream == res_non_stream.body["content"]
-
-
-def test_completion_with_openai_library():
-    global server
-    server.start()
-    client = OpenAI(api_key="dummy", base_url=f"http://{server.server_host}:{server.server_port}/v1")
-    res = client.completions.create(
-        model="davinci-002",
-        prompt="I believe the meaning of life is",
-        max_tokens=8,
-    )
-    assert res.system_fingerprint is not None and res.system_fingerprint.startswith("b")
-    assert res.choices[0].finish_reason == "length"
-    assert res.choices[0].text is not None
-    assert match_regex("(going|bed)+", res.choices[0].text)
-
-
-def test_completion_stream_with_openai_library():
-    global server
-    server.start()
-    client = OpenAI(api_key="dummy", base_url=f"http://{server.server_host}:{server.server_port}/v1")
-    res = client.completions.create(
-        model="davinci-002",
-        prompt="I believe the meaning of life is",
-        max_tokens=8,
-        stream=True,
-    )
-    output_text = ''
-    for data in res:
-        choice = data.choices[0]
-        if choice.finish_reason is None:
-            assert choice.text is not None
-            output_text += choice.text
-    assert match_regex("(going|bed)+", output_text)
-
-
-# Test case from https://github.com/ggml-org/llama.cpp/issues/13780
-@pytest.mark.slow
-def test_completion_stream_with_openai_library_stops():
-    global server
-    server.model_hf_repo = "bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M"
-    server.model_hf_file = None
-    server.start()
-    client = OpenAI(api_key="dummy", base_url=f"http://{server.server_host}:{server.server_port}/v1")
-    res = client.completions.create(
-        model="davinci-002",
-        prompt="System: You are helpfull assistant.\nAssistant:\nHey! How could I help?\nUser:\nTell me a joke.\nAssistant:\n",
-        stop=["User:\n", "Assistant:\n"],
-        max_tokens=200,
-        stream=True,
-    )
-    output_text = ''
-    for data in res:
-        choice = data.choices[0]
-        if choice.finish_reason is None:
-            assert choice.text is not None
-            output_text += choice.text
-    assert match_regex("Sure, here's one for[\\s\\S]*", output_text), f'Unexpected output: {output_text}'
-
-
-@pytest.mark.parametrize("n_slots", [1, 2])
-def test_consistent_result_same_seed(n_slots: int):
-    global server
-    server.n_slots = n_slots
-    server.start()
-    last_res = None
-    for _ in range(4):
-        res = server.make_request("POST", "/completion", data={
-            "prompt": "I believe the meaning of life is",
-            "seed": 42,
-            "temperature": 0.0,
-            "cache_prompt": False,  # TODO: remove this once test_cache_vs_nocache_prompt is fixed
-        })
-        if last_res is not None:
-            assert res.body["content"] == last_res.body["content"]
-        last_res = res
-
-
-@pytest.mark.parametrize("n_slots", [1, 2])
-def test_different_result_different_seed(n_slots: int):
-    global server
-    server.n_slots = n_slots
-    server.start()
-    last_res = None
-    for seed in range(4):
-        res = server.make_request("POST", "/completion", data={
-            "prompt": "I believe the meaning of life is",
-            "seed": seed,
-            "temperature": 1.0,
-            "cache_prompt": False,  # TODO: remove this once test_cache_vs_nocache_prompt is fixed
-        })
-        if last_res is not None:
-            assert res.body["content"] != last_res.body["content"]
-        last_res = res
-
-# TODO figure why it don't work with temperature = 1
-# @pytest.mark.parametrize("temperature", [0.0, 1.0])
-@pytest.mark.parametrize("n_batch", [16, 32])
-@pytest.mark.parametrize("temperature", [0.0])
-def test_consistent_result_different_batch_size(n_batch: int, temperature: float):
-    global server
-    server.n_batch = n_batch
-    server.start()
-    last_res = None
-    for _ in range(4):
-        res = server.make_request("POST", "/completion", data={
-            "prompt": "I believe the meaning of life is",
-            "seed": 42,
-            "temperature": temperature,
-            "cache_prompt": False,  # TODO: remove this once test_cache_vs_nocache_prompt is fixed
-        })
-        if last_res is not None:
-            assert res.body["content"] == last_res.body["content"]
-        last_res = res
-
-
-@pytest.mark.skip(reason="This test fails on linux, need to be fixed")
-def test_cache_vs_nocache_prompt():
-    global server
-    server.start()
-    res_cache = server.make_request("POST", "/completion", data={
-        "prompt": "I believe the meaning of life is",
-        "seed": 42,
-        "temperature": 1.0,
-        "cache_prompt": True,
-    })
-    res_no_cache = server.make_request("POST", "/completion", data={
-        "prompt": "I believe the meaning of life is",
-        "seed": 42,
-        "temperature": 1.0,
-        "cache_prompt": False,
-    })
-    assert res_cache.body["content"] == res_no_cache.body["content"]
-
-
-def test_nocache_long_input_prompt():
-    global server
-    server.start()
-    res = server.make_request("POST", "/completion", data={
-        "prompt": "I believe the meaning of life is"*32,
-        "seed": 42,
-        "temperature": 1.0,
-        "cache_prompt": False,
-    })
-    assert res.status_code == 200
-
-
-def test_completion_with_tokens_input():
-    global server
-    server.temperature = 0.0
-    server.start()
-    prompt_str = "I believe the meaning of life is"
-    res = server.make_request("POST", "/tokenize", data={
-        "content": prompt_str,
-        "add_special": True,
-    })
-    assert res.status_code == 200
-    tokens = res.body["tokens"]
-
-    # single completion
-    res = server.make_request("POST", "/completion", data={
-        "prompt": tokens,
-    })
-    assert res.status_code == 200
-    assert type(res.body["content"]) == str
-
-    # batch completion
-    res = server.make_request("POST", "/completion", data={
-        "prompt": [tokens, tokens],
-    })
-    assert res.status_code == 200
-    assert type(res.body) == list
-    assert len(res.body) == 2
-    assert res.body[0]["content"] == res.body[1]["content"]
-
-    # mixed string and tokens
-    res = server.make_request("POST", "/completion", data={
-        "prompt": [tokens, prompt_str],
-    })
-    assert res.status_code == 200
-    assert type(res.body) == list
-    assert len(res.body) == 2
-    assert res.body[0]["content"] == res.body[1]["content"]
-
-    # mixed string and tokens in one sequence
-    res = server.make_request("POST", "/completion", data={
-        "prompt": [1, 2, 3, 4, 5, 6, prompt_str, 7, 8, 9, 10, prompt_str],
-    })
-    assert res.status_code == 200
-    assert type(res.body["content"]) == str
-
-
-@pytest.mark.parametrize("n_slots,n_requests", [
-    (1, 3),
-    (2, 2),
-    (2, 4),
-    (4, 2), # some slots must be idle
-    (4, 6),
-])
-def test_completion_parallel_slots(n_slots: int, n_requests: int):
-    global server
-    server.n_slots = n_slots
-    server.temperature = 0.0
-    server.start()
-
-    PROMPTS = [
-        ("Write a very long book.", "(very|special|big)+"),
-        ("Write another a poem.", "(small|house)+"),
-        ("What is LLM?", "(Dad|said)+"),
-        ("The sky is blue and I love it.", "(climb|leaf)+"),
-        ("Write another very long music lyrics.", "(friends|step|sky)+"),
-        ("Write a very long joke.", "(cat|Whiskers)+"),
-    ]
-    def check_slots_status():
-        should_all_slots_busy = n_requests >= n_slots
-        time.sleep(0.1)
-        res = server.make_request("GET", "/slots")
-        n_busy = sum([1 for slot in res.body if slot["is_processing"]])
-        if should_all_slots_busy:
-            assert n_busy == n_slots
-        else:
-            assert n_busy <= n_slots
-
-    tasks = []
-    for i in range(n_requests):
-        prompt, re_content = PROMPTS[i % len(PROMPTS)]
-        tasks.append((server.make_request, ("POST", "/completion", {
-            "prompt": prompt,
-            "seed": 42,
-            "temperature": 1.0,
-        })))
-    tasks.append((check_slots_status, ()))
-    results = parallel_function_calls(tasks)
-
-    # check results
-    for i in range(n_requests):
-        prompt, re_content = PROMPTS[i % len(PROMPTS)]
-        res = results[i]
-        assert res.status_code == 200
-        assert type(res.body["content"]) == str
-        assert len(res.body["content"]) > 10
-        # FIXME: the result is not deterministic when using other slot than slot 0
-        # assert match_regex(re_content, res.body["content"])
-
-
-@pytest.mark.parametrize(
-    "prompt,n_predict,response_fields",
-    [
-        ("I believe the meaning of life is", 8, []),
-        ("I believe the meaning of life is", 32, ["content", "generation_settings/n_predict", "prompt"]),
-    ],
-)
-def test_completion_response_fields(
-    prompt: str, n_predict: int, response_fields: list[str]
-):
-    global server
-    server.start()
-    res = server.make_request(
-        "POST",
-        "/completion",
-        data={
-            "n_predict": n_predict,
-            "prompt": prompt,
-            "response_fields": response_fields,
-        },
-    )
-    assert res.status_code == 200
-    assert "content" in res.body
-    assert len(res.body["content"])
-    if len(response_fields):
-        assert res.body["generation_settings/n_predict"] == n_predict
-        assert res.body["prompt"] == "<s> " + prompt
-        assert isinstance(res.body["content"], str)
-        assert len(res.body) == len(response_fields)
-    else:
-        assert len(res.body)
-        assert "generation_settings" in res.body
-
-
-def test_n_probs():
-    global server
-    server.start()
-    res = server.make_request("POST", "/completion", data={
-        "prompt": "I believe the meaning of life is",
-        "n_probs": 10,
-        "temperature": 0.0,
-        "n_predict": 5,
-    })
-    assert res.status_code == 200
-    assert "completion_probabilities" in res.body
-    assert len(res.body["completion_probabilities"]) == 5
-    for tok in res.body["completion_probabilities"]:
-        assert "id" in tok and tok["id"] > 0
-        assert "token" in tok and type(tok["token"]) == str
-        assert "logprob" in tok and tok["logprob"] <= 0.0
-        assert "bytes" in tok and type(tok["bytes"]) == list
-        assert len(tok["top_logprobs"]) == 10
-        for prob in tok["top_logprobs"]:
-            assert "id" in prob and prob["id"] > 0
-            assert "token" in prob and type(prob["token"]) == str
-            assert "logprob" in prob and prob["logprob"] <= 0.0
-            assert "bytes" in prob and type(prob["bytes"]) == list
-
-
-def test_n_probs_stream():
-    global server
-    server.start()
-    res = server.make_stream_request("POST", "/completion", data={
-        "prompt": "I believe the meaning of life is",
-        "n_probs": 10,
-        "temperature": 0.0,
-        "n_predict": 5,
-        "stream": True,
-    })
-    for data in res:
-        if data["stop"] == False:
-            assert "completion_probabilities" in data
-            assert len(data["completion_probabilities"]) == 1
-            for tok in data["completion_probabilities"]:
-                assert "id" in tok and tok["id"] > 0
-                assert "token" in tok and type(tok["token"]) == str
-                assert "logprob" in tok and tok["logprob"] <= 0.0
-                assert "bytes" in tok and type(tok["bytes"]) == list
-                assert len(tok["top_logprobs"]) == 10
-                for prob in tok["top_logprobs"]:
-                    assert "id" in prob and prob["id"] > 0
-                    assert "token" in prob and type(prob["token"]) == str
-                    assert "logprob" in prob and prob["logprob"] <= 0.0
-                    assert "bytes" in prob and type(prob["bytes"]) == list
-
-
-def test_n_probs_post_sampling():
-    global server
-    server.start()
-    res = server.make_request("POST", "/completion", data={
-        "prompt": "I believe the meaning of life is",
-        "n_probs": 10,
-        "temperature": 0.0,
-        "n_predict": 5,
-        "post_sampling_probs": True,
-    })
-    assert res.status_code == 200
-    assert "completion_probabilities" in res.body
-    assert len(res.body["completion_probabilities"]) == 5
-    for tok in res.body["completion_probabilities"]:
-        assert "id" in tok and tok["id"] > 0
-        assert "token" in tok and type(tok["token"]) == str
-        assert "prob" in tok and 0.0 < tok["prob"] <= 1.0
-        assert "bytes" in tok and type(tok["bytes"]) == list
-        assert len(tok["top_probs"]) == 10
-        for prob in tok["top_probs"]:
-            assert "id" in prob and prob["id"] > 0
-            assert "token" in prob and type(prob["token"]) == str
-            assert "prob" in prob and 0.0 <= prob["prob"] <= 1.0
-            assert "bytes" in prob and type(prob["bytes"]) == list
-        # because the test model usually output token with either 100% or 0% probability, we need to check all the top_probs
-        assert any(prob["prob"] == 1.0 for prob in tok["top_probs"])
-
-
-def test_cancel_request():
-    global server
-    server.n_ctx = 4096
-    server.n_predict = -1
-    server.n_slots = 1
-    server.server_slots = True
-    server.start()
-    # send a request that will take a long time, but cancel it before it finishes
-    try:
-        server.make_request("POST", "/completion", data={
-            "prompt": "I believe the meaning of life is",
-        }, timeout=0.1)
-    except requests.exceptions.ReadTimeout:
-        pass # expected
-    # make sure the slot is free
-    time.sleep(1) # wait for HTTP_POLLING_SECONDS
-    res = server.make_request("GET", "/slots")
-    assert res.body[0]["is_processing"] == False
diff --git a/tools/server/tests/unit/test_template.py b/tools/server/tests/unit/test_template.py
deleted file mode 100644
index dcc3f0a3e..000000000
--- a/tools/server/tests/unit/test_template.py
+++ /dev/null
@@ -1,83 +0,0 @@
-#!/usr/bin/env python
-import pytest
-
-# ensure grandparent path is in sys.path
-from pathlib import Path
-import sys
-
-from unit.test_tool_call import TEST_TOOL
-path = Path(__file__).resolve().parents[1]
-sys.path.insert(0, str(path))
-
-import datetime
-from utils import *
-
-server: ServerProcess
-
-TIMEOUT_SERVER_START = 15*60
-
-@pytest.fixture(autouse=True)
-def create_server():
-    global server
-    server = ServerPreset.tinyllama2()
-    server.model_alias = "tinyllama-2"
-    server.server_port = 8081
-    server.n_slots = 1
-
-
-@pytest.mark.parametrize("tools", [None, [], [TEST_TOOL]])
-@pytest.mark.parametrize("template_name,reasoning_budget,expected_end", [
-    ("deepseek-ai-DeepSeek-R1-Distill-Qwen-32B", None, "<think>\n"),
-    ("deepseek-ai-DeepSeek-R1-Distill-Qwen-32B",   -1, "<think>\n"),
-    ("deepseek-ai-DeepSeek-R1-Distill-Qwen-32B",    0, "<think>\n</think>"),
-
-    ("Qwen-Qwen3-0.6B", -1, "<|im_start|>assistant\n"),
-    ("Qwen-Qwen3-0.6B",  0, "<|im_start|>assistant\n<think>\n\n</think>\n\n"),
-
-    ("Qwen-QwQ-32B", -1, "<|im_start|>assistant\n<think>\n"),
-    ("Qwen-QwQ-32B",  0, "<|im_start|>assistant\n<think>\n</think>"),
-
-    ("CohereForAI-c4ai-command-r7b-12-2024-tool_use", -1, "<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>"),
-    ("CohereForAI-c4ai-command-r7b-12-2024-tool_use",  0, "<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|><|START_THINKING|><|END_THINKING|>"),
-])
-def test_reasoning_budget(template_name: str, reasoning_budget: int | None, expected_end: str, tools: list[dict]):
-    global server
-    server.jinja = True
-    server.reasoning_budget = reasoning_budget
-    server.chat_template_file = f'../../../models/templates/{template_name}.jinja'
-    server.start(timeout_seconds=TIMEOUT_SERVER_START)
-
-    res = server.make_request("POST", "/apply-template", data={
-        "messages": [
-            {"role": "user", "content": "What is today?"},
-        ],
-        "tools": tools,
-    })
-    assert res.status_code == 200
-    prompt = res.body["prompt"]
-
-    assert prompt.endswith(expected_end), f"Expected prompt to end with '{expected_end}', got '{prompt}'"
-
-
-@pytest.mark.parametrize("tools", [None, [], [TEST_TOOL]])
-@pytest.mark.parametrize("template_name,format", [
-    ("meta-llama-Llama-3.3-70B-Instruct",    "%d %b %Y"),
-    ("fireworks-ai-llama-3-firefunction-v2", "%b %d %Y"),
-])
-def test_date_inside_prompt(template_name: str, format: str, tools: list[dict]):
-    global server
-    server.jinja = True
-    server.chat_template_file = f'../../../models/templates/{template_name}.jinja'
-    server.start(timeout_seconds=TIMEOUT_SERVER_START)
-
-    res = server.make_request("POST", "/apply-template", data={
-        "messages": [
-            {"role": "user", "content": "What is today?"},
-        ],
-        "tools": tools,
-    })
-    assert res.status_code == 200
-    prompt = res.body["prompt"]
-
-    today_str = datetime.date.today().strftime(format)
-    assert today_str in prompt, f"Expected today's date ({today_str}) in content ({prompt})"
diff --git a/tools/server/tests/unit/test_tool_call.py b/tools/server/tests/unit/test_tool_call.py
deleted file mode 100755
index 20f048c6f..000000000
--- a/tools/server/tests/unit/test_tool_call.py
+++ /dev/null
@@ -1,623 +0,0 @@
-#!/usr/bin/env python
-import pytest
-
-# ensure grandparent path is in sys.path
-from pathlib import Path
-import sys
-path = Path(__file__).resolve().parents[1]
-sys.path.insert(0, str(path))
-
-from utils import *
-from enum import Enum
-
-server: ServerProcess
-
-TIMEOUT_SERVER_START = 15*60
-TIMEOUT_HTTP_REQUEST = 60
-
-@pytest.fixture(autouse=True)
-def create_server():
-    global server
-    server = ServerPreset.tinyllama2()
-    server.model_alias = "tinyllama-2-tool-call"
-    server.server_port = 8081
-    server.n_slots = 1
-
-class CompletionMode(Enum):
-    NORMAL = "normal"
-    STREAMED = "streamed"
-
-TEST_TOOL = {
-    "type":"function",
-    "function": {
-        "name": "test",
-        "description": "",
-        "parameters": {
-            "type": "object",
-            "properties": {
-                "success": {"type": "boolean", "const": True},
-            },
-            "required": ["success"]
-        }
-    }
-}
-
-PYTHON_TOOL = {
-    "type": "function",
-    "function": {
-        "name": "python",
-        "description": "Runs code in an ipython interpreter and returns the result of the execution after 60 seconds.",
-        "parameters": {
-            "type": "object",
-            "properties": {
-                "code": {
-                    "type": "string",
-                    "description": "The code to run in the ipython interpreter."
-                }
-            },
-            "required": ["code"]
-        }
-    }
-}
-
-WEATHER_TOOL = {
-  "type":"function",
-  "function":{
-    "name":"get_current_weather",
-    "description":"Get the current weather in a given location",
-    "parameters":{
-      "type":"object",
-      "properties":{
-        "location":{
-          "type":"string",
-          "description":"The city and country/state, e.g. 'San Francisco, CA', or 'Paris, France'"
-        }
-      },
-      "required":["location"]
-    }
-  }
-}
-
-def do_test_completion_with_required_tool_tiny(server: ServerProcess, tool: dict, argument_key: str | None, n_predict, **kwargs):
-    body = server.make_any_request("POST", "/v1/chat/completions", data={
-        "max_tokens": n_predict,
-        "messages": [
-            {"role": "system", "content": "You are a coding assistant."},
-            {"role": "user", "content": "Write an example"},
-        ],
-        "tool_choice": "required",
-        "tools": [tool],
-        "parallel_tool_calls": False,
-        **kwargs,
-    })
-    # assert res.status_code == 200, f"Expected status code 200, got {res.status_code}"
-    choice = body["choices"][0]
-    tool_calls = choice["message"].get("tool_calls")
-    assert tool_calls and len(tool_calls) == 1, f'Expected 1 tool call in {choice["message"]}'
-    tool_call = tool_calls[0]
-    assert choice["message"].get("content") in (None, ""), f'Expected no content in {choice["message"]}'
-    # assert len(tool_call.get("id", "")) > 0, f'Expected non empty tool call id in {tool_call}'
-    expected_function_name = "python" if tool["type"] == "code_interpreter" else tool["function"]["name"]
-    assert expected_function_name == tool_call["function"]["name"]
-    actual_arguments = tool_call["function"]["arguments"]
-    assert isinstance(actual_arguments, str)
-    if argument_key is not None:
-        actual_arguments = json.loads(actual_arguments)
-        assert argument_key in actual_arguments, f"tool arguments: {json.dumps(actual_arguments)}, expected: {argument_key}"
-
-
-@pytest.mark.parametrize("stream", [CompletionMode.NORMAL, CompletionMode.STREAMED])
-@pytest.mark.parametrize("template_name,tool,argument_key", [
-    ("google-gemma-2-2b-it",                          TEST_TOOL,            "success"),
-    ("google-gemma-2-2b-it",                          TEST_TOOL,            "success"),
-    ("meta-llama-Llama-3.3-70B-Instruct",             TEST_TOOL,            "success"),
-    ("meta-llama-Llama-3.3-70B-Instruct",             TEST_TOOL,            "success"),
-    ("meta-llama-Llama-3.3-70B-Instruct",             PYTHON_TOOL,          "code"),
-    ("meta-llama-Llama-3.3-70B-Instruct",             PYTHON_TOOL,          "code"),
-])
-def test_completion_with_required_tool_tiny_fast(template_name: str, tool: dict, argument_key: str | None, stream: CompletionMode):
-    global server
-    n_predict = 1024
-    # server = ServerPreset.stories15m_moe()
-    server.jinja = True
-    server.n_predict = n_predict
-    server.chat_template_file = f'../../../models/templates/{template_name}.jinja'
-    server.start(timeout_seconds=TIMEOUT_SERVER_START)
-    do_test_completion_with_required_tool_tiny(server, tool, argument_key, n_predict, stream=stream == CompletionMode.STREAMED, temperature=0.0, top_k=1, top_p=1.0)
-
-
-@pytest.mark.slow
-@pytest.mark.parametrize("stream", [CompletionMode.NORMAL, CompletionMode.STREAMED])
-@pytest.mark.parametrize("template_name,tool,argument_key", [
-    ("meta-llama-Llama-3.1-8B-Instruct",              TEST_TOOL,            "success"),
-    ("meta-llama-Llama-3.1-8B-Instruct",              PYTHON_TOOL,          "code"),
-
-    ("meetkai-functionary-medium-v3.1",               TEST_TOOL,            "success"),
-    ("meetkai-functionary-medium-v3.1",               PYTHON_TOOL,          "code"),
-
-    ("meetkai-functionary-medium-v3.2",               TEST_TOOL,            "success"),
-    # Functionary v3.2 format supports raw python content, which w/ a dummy stories model will never end on its own.
-    # ("meetkai-functionary-medium-v3.2",               PYTHON_TOOL,          "code"),
-
-    ("NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use", TEST_TOOL,            "success"),
-    ("NousResearch-Hermes-2-Pro-Llama-3-8B-tool_use", PYTHON_TOOL,          "code"),
-
-    ("meta-llama-Llama-3.2-3B-Instruct",              TEST_TOOL,            "success"),
-    ("meta-llama-Llama-3.2-3B-Instruct",              PYTHON_TOOL,          "code"),
-
-    ("mistralai-Mistral-Nemo-Instruct-2407",          TEST_TOOL,            "success"),
-    ("mistralai-Mistral-Nemo-Instruct-2407",          PYTHON_TOOL,          "code"),
-
-    ("NousResearch-Hermes-3-Llama-3.1-8B-tool_use",   TEST_TOOL,            "success"),
-    ("NousResearch-Hermes-3-Llama-3.1-8B-tool_use",   PYTHON_TOOL,          "code"),
-
-    ("deepseek-ai-DeepSeek-R1-Distill-Llama-8B",      TEST_TOOL,            "success"),
-    ("deepseek-ai-DeepSeek-R1-Distill-Llama-8B",      PYTHON_TOOL,          "code"),
-
-    ("fireworks-ai-llama-3-firefunction-v2",          TEST_TOOL,            "success"),
-    # ("fireworks-ai-llama-3-firefunction-v2",          PYTHON_TOOL,          "codeFalse), True),
-    # ("fireworks-ai-llama-3-firefunction-v2",          PYTHON_TOOL,          "code"),
-
-])
-def test_completion_with_required_tool_tiny_slow(template_name: str, tool: dict, argument_key: str | None, stream: CompletionMode):
-    global server
-    n_predict = 512
-    # server = ServerPreset.stories15m_moe()
-    server.jinja = True
-    server.n_predict = n_predict
-    server.chat_template_file = f'../../../models/templates/{template_name}.jinja'
-    server.start(timeout_seconds=TIMEOUT_SERVER_START)
-    do_test_completion_with_required_tool_tiny(server, tool, argument_key, n_predict, stream=stream == CompletionMode.STREAMED)
-
-
-@pytest.mark.slow
-@pytest.mark.parametrize("stream", [CompletionMode.NORMAL, CompletionMode.STREAMED])
-@pytest.mark.parametrize("tool,argument_key,hf_repo,template_override", [
-    (TEST_TOOL,    "success",  "bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", None),
-    (PYTHON_TOOL,  "code",     "bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", None),
-    (PYTHON_TOOL,  "code",     "bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", "chatml"),
-
-    (TEST_TOOL,    "success",  "bartowski/gemma-2-2b-it-GGUF:Q4_K_M",              None),
-    (PYTHON_TOOL,  "code",     "bartowski/gemma-2-2b-it-GGUF:Q4_K_M",              None),
-    (PYTHON_TOOL,  "code",     "bartowski/gemma-2-2b-it-GGUF:Q4_K_M",              "chatml"),
-
-    (TEST_TOOL,    "success",  "bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M",      None),
-    (PYTHON_TOOL,  "code",     "bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M",      None),
-    (PYTHON_TOOL,  "code",     "bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M",      "chatml"),
-
-    (TEST_TOOL,    "success",  "bartowski/Qwen2.5-1.5B-Instruct-GGUF:Q4_K_M",      None),
-    (PYTHON_TOOL,  "code",     "bartowski/Qwen2.5-1.5B-Instruct-GGUF:Q4_K_M",      None),
-    (PYTHON_TOOL,  "code",     "bartowski/Qwen2.5-1.5B-Instruct-GGUF:Q4_K_M",      "chatml"),
-
-    (TEST_TOOL,    "success",  "bartowski/Qwen2.5-Coder-3B-Instruct-GGUF:Q4_K_M",      None),
-    (PYTHON_TOOL,  "code",     "bartowski/Qwen2.5-Coder-3B-Instruct-GGUF:Q4_K_M",      None),
-    (PYTHON_TOOL,  "code",     "bartowski/Qwen2.5-Coder-3B-Instruct-GGUF:Q4_K_M",      "chatml"),
-
-    (TEST_TOOL,    "success",  "bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M",        None),
-    (PYTHON_TOOL,  "code",     "bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M",        None),
-    (PYTHON_TOOL,  "code",     "bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M",        "chatml"),
-
-    (TEST_TOOL,    "success",  "bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M", ("NousResearch/Hermes-2-Pro-Llama-3-8B", "tool_use")),
-    (PYTHON_TOOL,  "code",     "bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M", ("NousResearch/Hermes-2-Pro-Llama-3-8B", "tool_use")),
-    (PYTHON_TOOL,  "code",     "bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M", "chatml"),
-
-    (TEST_TOOL,    "success",  "bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M",   ("NousResearch/Hermes-3-Llama-3.1-8B", "tool_use")),
-    (PYTHON_TOOL,  "code",     "bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M",   ("NousResearch/Hermes-3-Llama-3.1-8B", "tool_use")),
-    (PYTHON_TOOL,  "code",     "bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M",   "chatml"),
-
-    # (TEST_TOOL,    "success",  "bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M", None),
-    # (PYTHON_TOOL,  "code",     "bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M", None),
-    # (PYTHON_TOOL,  "code",     "bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M", "chatml"),
-
-    (TEST_TOOL,    "success",  "bartowski/functionary-small-v3.2-GGUF:Q4_K_M",       ("meetkai/functionary-medium-v3.2", None)),
-    (PYTHON_TOOL,  "code",     "bartowski/functionary-small-v3.2-GGUF:Q4_K_M",       ("meetkai/functionary-medium-v3.2", None)),
-    (PYTHON_TOOL,  "code",     "bartowski/functionary-small-v3.2-GGUF:Q4_K_M",       "chatml"),
-
-    (TEST_TOOL,    "success",  "bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M",      ("meta-llama/Llama-3.2-3B-Instruct", None)),
-    (PYTHON_TOOL,  "code",     "bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M",      ("meta-llama/Llama-3.2-3B-Instruct", None)),
-    (PYTHON_TOOL,  "code",     "bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M",      "chatml"),
-
-    (TEST_TOOL,    "success",  "bartowski/Llama-3.2-1B-Instruct-GGUF:Q4_K_M",      ("meta-llama/Llama-3.2-3B-Instruct", None)),
-    (PYTHON_TOOL,  "code",     "bartowski/Llama-3.2-1B-Instruct-GGUF:Q4_K_M",      ("meta-llama/Llama-3.2-3B-Instruct", None)),
-    (PYTHON_TOOL,  "code",     "bartowski/Llama-3.2-1B-Instruct-GGUF:Q4_K_M",      "chatml"),
-
-    (TEST_TOOL,    "success",  "bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M", None),
-    (PYTHON_TOOL,  "code",     "bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M", None),
-])
-def test_completion_with_required_tool_real_model(tool: dict, argument_key: str | None, hf_repo: str, template_override: str | Tuple[str, str | None] | None, stream: CompletionMode):
-    global server
-    n_predict = 512
-    server.jinja = True
-    server.n_ctx = 8192
-    server.n_predict = n_predict
-    server.model_hf_repo = hf_repo
-    server.model_hf_file = None
-    if isinstance(template_override, tuple):
-        (template_hf_repo, template_variant) = template_override
-        server.chat_template_file = f"../../../models/templates/{template_hf_repo.replace('/', '-') + ('-' + template_variant if template_variant else '')}.jinja"
-        assert os.path.exists(server.chat_template_file), f"Template file {server.chat_template_file} does not exist. Run `python scripts/get_chat_template.py {template_hf_repo} {template_variant} > {server.chat_template_file}` to download the template."
-    elif isinstance(template_override, str):
-        server.chat_template = template_override
-    server.start(timeout_seconds=TIMEOUT_SERVER_START)
-    body = server.make_any_request("POST", "/v1/chat/completions", data={
-        "max_tokens": n_predict,
-        "messages": [
-            {"role": "system", "content": "You are a coding assistant."},
-            {"role": "user", "content": "Write an example"},
-        ],
-        "tool_choice": "required",
-        "tools": [tool],
-        "parallel_tool_calls": False,
-        "stream": stream == CompletionMode.STREAMED,
-        "temperature": 0.0,
-        "top_k": 1,
-        "top_p": 1.0,
-    }, timeout=TIMEOUT_HTTP_REQUEST)
-    choice = body["choices"][0]
-    tool_calls = choice["message"].get("tool_calls")
-    assert tool_calls and len(tool_calls) == 1, f'Expected 1 tool call in {choice["message"]}'
-    tool_call = tool_calls[0]
-    # assert choice["message"].get("content") in (None, ""), f'Expected no content in {choice["message"]}'
-    expected_function_name = "python" if tool["type"] == "code_interpreter" else tool["function"]["name"]
-    assert expected_function_name == tool_call["function"]["name"]
-    actual_arguments = tool_call["function"]["arguments"]
-    assert isinstance(actual_arguments, str)
-    if argument_key is not None:
-        actual_arguments = json.loads(actual_arguments)
-        assert argument_key in actual_arguments, f"tool arguments: {json.dumps(actual_arguments)}, expected: {argument_key}"
-
-
-def do_test_completion_without_tool_call(server: ServerProcess, n_predict: int, tools: list[dict], tool_choice: str | None, **kwargs):
-    body = server.make_any_request("POST", "/v1/chat/completions", data={
-        "max_tokens": n_predict,
-        "messages": [
-            {"role": "system", "content": "You are a coding assistant."},
-            {"role": "user", "content": "say hello world with python"},
-        ],
-        "tools": tools if tools else None,
-        "tool_choice": tool_choice,
-        **kwargs,
-    }, timeout=TIMEOUT_HTTP_REQUEST)
-    choice = body["choices"][0]
-    assert choice["message"].get("tool_calls") is None, f'Expected no tool call in {choice["message"]}'
-
-
-@pytest.mark.parametrize("stream", [CompletionMode.NORMAL, CompletionMode.STREAMED])
-@pytest.mark.parametrize("template_name,n_predict,tools,tool_choice", [
-    ("meta-llama-Llama-3.3-70B-Instruct",         128, [],            None),
-    ("meta-llama-Llama-3.3-70B-Instruct",         128, [TEST_TOOL],   None),
-    ("meta-llama-Llama-3.3-70B-Instruct",         128, [PYTHON_TOOL], 'none'),
-])
-def test_completion_without_tool_call_fast(template_name: str, n_predict: int, tools: list[dict], tool_choice: str | None, stream: CompletionMode):
-    global server
-    server.n_predict = n_predict
-    server.jinja = True
-    server.chat_template_file = f'../../../models/templates/{template_name}.jinja'
-    server.start(timeout_seconds=TIMEOUT_SERVER_START)
-    do_test_completion_without_tool_call(server, n_predict, tools, tool_choice, stream=stream == CompletionMode.STREAMED)
-
-
-@pytest.mark.slow
-@pytest.mark.parametrize("stream", [CompletionMode.NORMAL, CompletionMode.STREAMED])
-@pytest.mark.parametrize("template_name,n_predict,tools,tool_choice", [
-    ("meetkai-functionary-medium-v3.2",               256, [],            None),
-    ("meetkai-functionary-medium-v3.2",               256, [TEST_TOOL],   None),
-    ("meetkai-functionary-medium-v3.2",               256, [PYTHON_TOOL], 'none'),
-    ("meetkai-functionary-medium-v3.1",               256, [],            None),
-    ("meetkai-functionary-medium-v3.1",               256, [TEST_TOOL],   None),
-    ("meetkai-functionary-medium-v3.1",               256, [PYTHON_TOOL], 'none'),
-    ("meta-llama-Llama-3.2-3B-Instruct",              256, [],            None),
-    ("meta-llama-Llama-3.2-3B-Instruct",              256, [TEST_TOOL],   None),
-    ("meta-llama-Llama-3.2-3B-Instruct",              256, [PYTHON_TOOL], 'none'),
-])
-def test_completion_without_tool_call_slow(template_name: str, n_predict: int, tools: list[dict], tool_choice: str | None, stream: CompletionMode):
-    global server
-    server.n_predict = n_predict
-    server.jinja = True
-    server.chat_template_file = f'../../../models/templates/{template_name}.jinja'
-    server.start(timeout_seconds=TIMEOUT_SERVER_START)
-    do_test_completion_without_tool_call(server, n_predict, tools, tool_choice, stream=stream == CompletionMode.STREAMED)
-
-
-@pytest.mark.slow
-@pytest.mark.parametrize("stream", [CompletionMode.NORMAL, CompletionMode.STREAMED])
-@pytest.mark.parametrize("hf_repo,template_override", [
-    ("bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", None),
-    ("bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", "chatml"),
-
-    ("bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M",      None),
-    ("bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M",      "chatml"),
-
-    ("bartowski/Qwen2.5-1.5B-Instruct-GGUF:Q4_K_M",      None),
-    ("bartowski/Qwen2.5-1.5B-Instruct-GGUF:Q4_K_M",      "chatml"),
-
-    ("bartowski/Qwen2.5-Coder-3B-Instruct-GGUF:Q4_K_M",      None),
-    ("bartowski/Qwen2.5-Coder-3B-Instruct-GGUF:Q4_K_M",      "chatml"),
-
-    ("bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M",        None),
-    ("bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M",        "chatml"),
-
-    ("bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M",    ("NousResearch/Hermes-2-Pro-Llama-3-8B", "tool_use")),
-    ("bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M",    "chatml"),
-
-    ("bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M",      ("NousResearch/Hermes-3-Llama-3.1-8B", "tool_use")),
-    ("bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M",      "chatml"),
-
-    # ("bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M", None),
-    # ("bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M", "chatml"),
-
-    # ("bartowski/functionary-small-v3.2-GGUF:Q8_0",       ("meetkai/functionary-medium-v3.2", None)),
-    # ("bartowski/functionary-small-v3.2-GGUF:Q8_0",       "chatml"),
-
-    ("bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M",      ("meta-llama/Llama-3.2-3B-Instruct", None)),
-    ("bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M",      "chatml"),
-
-    ("bartowski/c4ai-command-r7b-12-2024-GGUF:Q6_K_L",   ("CohereForAI/c4ai-command-r7b-12-2024", "tool_use")),
-
-    ("bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M", None),
-
-    # Note: gemma-2-2b-it knows itself as "model", not "assistant", so we don't test the ill-suited chatml on it.
-    ("bartowski/gemma-2-2b-it-GGUF:Q4_K_M",              None),
-
-    # ("bartowski/Llama-3.2-1B-Instruct-GGUF:Q4_K_M", ("meta-llama/Llama-3.2-3B-Instruct", None)),
-])
-def test_weather(hf_repo: str, template_override: str | Tuple[str, str | None] | None, stream: CompletionMode):
-    global server
-    n_predict = 512
-    server.jinja = True
-    server.n_ctx = 8192
-    server.n_predict = n_predict
-    server.model_hf_repo = hf_repo
-    server.model_hf_file = None
-    if isinstance(template_override, tuple):
-        (template_hf_repo, template_variant) = template_override
-        server.chat_template_file = f"../../../models/templates/{template_hf_repo.replace('/', '-') + ('-' + template_variant if template_variant else '')}.jinja"
-        assert os.path.exists(server.chat_template_file), f"Template file {server.chat_template_file} does not exist. Run `python scripts/get_chat_template.py {template_hf_repo} {template_variant} > {server.chat_template_file}` to download the template."
-    elif isinstance(template_override, str):
-        server.chat_template = template_override
-    server.start(timeout_seconds=TIMEOUT_SERVER_START)
-    do_test_weather(server, stream=stream == CompletionMode.STREAMED, max_tokens=n_predict)
-
-
-def do_test_weather(server: ServerProcess, **kwargs):
-    body = server.make_any_request("POST", "/v1/chat/completions", data={
-        "messages": [
-            {"role": "system", "content": "You are a chatbot that uses tools/functions. Dont overthink things."},
-            {"role": "user", "content": "What is the weather in Istanbul?"},
-        ],
-        "tools": [WEATHER_TOOL],
-        **kwargs,
-    }, timeout=TIMEOUT_HTTP_REQUEST)
-    choice = body["choices"][0]
-    tool_calls = choice["message"].get("tool_calls")
-    assert tool_calls and len(tool_calls) == 1, f'Expected 1 tool call in {choice["message"]}'
-    tool_call = tool_calls[0]
-    # assert choice["message"].get("content") in (None, ""), f'Expected no content in {choice["message"]}'
-    assert tool_call["function"]["name"] == WEATHER_TOOL["function"]["name"], f'Expected weather tool call, got {tool_call["function"]["name"]}'
-    # assert len(tool_call.get("id", "")) > 0, f'Expected non empty tool call id in {tool_call}'
-    actual_arguments = json.loads(tool_call["function"]["arguments"])
-    assert 'location' in actual_arguments, f"location not found in {json.dumps(actual_arguments)}"
-    location = actual_arguments["location"]
-    assert isinstance(location, str), f"Expected location to be a string, got {type(location)}: {json.dumps(location)}"
-    assert re.match('^Istanbul(( |, ?)(TR|Turkey|Türkiye))?$', location), f'Expected Istanbul for location, got {location}'
-
-
-@pytest.mark.slow
-@pytest.mark.parametrize("stream", [CompletionMode.NORMAL, CompletionMode.STREAMED])
-@pytest.mark.parametrize("result_override,n_predict,hf_repo,template_override", [
-    (None,                                           128,  "bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M",       "chatml"),
-    (None,                                           128,  "bartowski/Qwen2.5-Coder-3B-Instruct-GGUF:Q4_K_M", None),
-    (None,                                           128,  "bartowski/Qwen2.5-Coder-3B-Instruct-GGUF:Q4_K_M", "chatml"),
-    (None,                                           128,  "bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M",         "chatml"),
-    (None,                                           128,  "bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M",     ("NousResearch/Hermes-2-Pro-Llama-3-8B", "tool_use")),
-    (None,                                           128,  "bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M",       ("NousResearch/Hermes-3-Llama-3.1-8B", "tool_use")),
-    (None,                                           128,  "bartowski/functionary-small-v3.2-GGUF:Q8_0",        ("meetkai/functionary-medium-v3.2", None)),
-    (None,                                           128,  "bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M",  None),
-    (None,                                           128,  "bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M",  "chatml"),
-    (None,                                           128,  "bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M",       None),
-    ("[\\s\\S]*?\\*\\*\\s*0.5($|\\*\\*)",            8192, "bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M", ("llama-cpp-deepseek-r1", None)),
-
-    # TODO: fix these (wrong results, either didn't respect decimal instruction or got wrong value)
-    # (None,                                           128,  "bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M",  None),
-    # ("[\\s\\S]*?\\*\\*\\s*0.5($|\\*\\*)",            8192, "bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M", None),
-])
-def test_calc_result(result_override: str | None, n_predict: int, hf_repo: str, template_override: str | Tuple[str, str | None] | None, stream: CompletionMode):
-    global server
-    server.jinja = True
-    server.n_ctx = 8192 * 2
-    server.n_predict = n_predict
-    server.model_hf_repo = hf_repo
-    server.model_hf_file = None
-    if isinstance(template_override, tuple):
-        (template_hf_repo, template_variant) = template_override
-        server.chat_template_file = f"../../../models/templates/{template_hf_repo.replace('/', '-') + ('-' + template_variant if template_variant else '')}.jinja"
-        assert os.path.exists(server.chat_template_file), f"Template file {server.chat_template_file} does not exist. Run `python scripts/get_chat_template.py {template_hf_repo} {template_variant} > {server.chat_template_file}` to download the template."
-    elif isinstance(template_override, str):
-        server.chat_template = template_override
-    server.start(timeout_seconds=TIMEOUT_SERVER_START)
-    do_test_calc_result(server, result_override, n_predict, stream=stream == CompletionMode.STREAMED)
-
-
-def do_test_calc_result(server: ServerProcess, result_override: str | None, n_predict: int, **kwargs):
-    body = server.make_any_request("POST", "/v1/chat/completions", data={
-        "max_tokens": n_predict,
-        "messages": [
-            {"role": "system", "content": "You are a tools-calling assistant. You express numerical values with at most two decimals."},
-            {"role": "user", "content": "What's the y coordinate of a point on the unit sphere at angle 30 degrees?"},
-            {
-                "role": "assistant",
-                "content": None,
-                "tool_calls": [
-                    {
-                        "id": "call_6789",
-                        "type": "function",
-                        "function": {
-                            "name": "calculate",
-                            "arguments": "{\"expression\":\"sin(30 * pi / 180)\"}"
-                        }
-                    }
-                ]
-            },
-            {
-                "role": "tool",
-                "name": "calculate",
-                "content": "0.55644242476",
-                "tool_call_id": "call_6789"
-            }
-        ],
-        "tools": [
-            {
-                "type":"function",
-                "function":{
-                    "name":"calculate",
-                    "description":"A calculator function that computes values of arithmetic expressions in the Python syntax",
-                    "parameters":{
-                        "type":"object",
-                        "properties":{
-                            "expression":{
-                            "type":"string",
-                            "description":"An arithmetic expression to compute the value of (Python syntad, assuming all floats)"
-                            }
-                        },
-                        "required":["expression"]
-                    }
-                }
-            }
-        ],
-        **kwargs,
-    }, timeout=TIMEOUT_HTTP_REQUEST)
-    choice = body["choices"][0]
-    tool_calls = choice["message"].get("tool_calls")
-    assert tool_calls is None, f'Expected no tool call in {choice["message"]}'
-    content = choice["message"].get("content")
-    assert content is not None, f'Expected content in {choice["message"]}'
-    if result_override is not None:
-        assert re.match(result_override, content), f'Expected {result_override}, got {content}'
-    else:
-        assert re.match('^[\\s\\S]*?((That\'s|\\bis) (approximately )?)?\\b0\\.(5\\b|56\\b|556)', content), \
-            f'Expected something like "The y coordinate is 0.56.", got {content}'
-
-
-@pytest.mark.slow
-@pytest.mark.parametrize("stream", [CompletionMode.NORMAL, CompletionMode.STREAMED])
-@pytest.mark.parametrize("n_predict,reasoning_format,expect_reasoning_content,expect_content,hf_repo,template_override", [
-    (128, 'deepseek',   None, "^The sum of 102 and 7 is 109[\\s\\S]*",                                       "bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M",       None),
-    (128,  None,        None, "^The sum of 102 and 7 is 109[\\s\\S]*",                                       "bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M",       None),
-    (1024, 'deepseek',  "I need to calculate the sum of 102 and 7[\\s\\S]*", "To find the sum of[\\s\\S]*",  "bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M", None),
-    (1024, 'deepseek',  "First, I [\\s\\S]*", "To find the sum of[\\s\\S]*",                                 "bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M", ("llama-cpp-deepseek-r1", None)),
-    # (1024, 'none',      CompletionMode.NORMAL,   None, "^(<think>\\s*)?I need[\\s\\S]*?</think>\\s*To find[\\s\\S]*",                 "bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M", None),
-    # (128,  'deepseek',  None, "^Okay, let me figure out the sum of 102 and 7[\\s\\S]*",                      "bartowski/Qwen_QwQ-32B-GGUF:Q4_K_M",                None),
-])
-def test_thoughts(n_predict: int, reasoning_format: Literal['deepseek', 'none'] | None, expect_content: str | None, expect_reasoning_content: str | None, hf_repo: str, template_override: str | Tuple[str, str | None] | None, stream: CompletionMode):
-    global server
-    server.reasoning_format = reasoning_format
-    server.jinja = True
-    server.n_ctx = 8192 * 2
-    server.n_predict = n_predict
-    server.model_hf_repo = hf_repo
-    server.model_hf_file = None
-    if isinstance(template_override, tuple):
-        (template_hf_repo, template_variant) = template_override
-        server.chat_template_file = f"../../../models/templates/{template_hf_repo.replace('/', '-') + ('-' + template_variant if template_variant else '')}.jinja"
-        assert os.path.exists(server.chat_template_file), f"Template file {server.chat_template_file} does not exist. Run `python scripts/get_chat_template.py {template_hf_repo} {template_variant} > {server.chat_template_file}` to download the template."
-    elif isinstance(template_override, str):
-        server.chat_template = template_override
-    server.start(timeout_seconds=TIMEOUT_SERVER_START)
-    body = server.make_any_request("POST", "/v1/chat/completions", data={
-        "max_tokens": n_predict,
-        "messages": [
-            {"role": "user", "content": "What's the sum of 102 and 7?"},
-        ],
-        "stream": stream == CompletionMode.STREAMED,
-    }, timeout=TIMEOUT_HTTP_REQUEST)
-    choice = body["choices"][0]
-    assert choice["message"].get("tool_calls") is None, f'Expected no tool call in {choice["message"]}'
-
-    content = choice["message"].get("content")
-    if expect_content is None:
-        assert choice["message"].get("content") in (None, ""), f'Expected no content in {choice["message"]}'
-    else:
-        assert re.match(expect_content, content), f'Expected {expect_content}, got {content}'
-
-    reasoning_content = choice["message"].get("reasoning_content")
-    if expect_reasoning_content is None:
-        assert reasoning_content is None, f'Expected no reasoning content in {choice["message"]}'
-    else:
-        assert re.match(expect_reasoning_content, reasoning_content), f'Expected {expect_reasoning_content}, got {reasoning_content}'
-
-
-@pytest.mark.slow
-@pytest.mark.parametrize("stream", [CompletionMode.NORMAL, CompletionMode.STREAMED])
-@pytest.mark.parametrize("hf_repo,template_override", [
-    ("bartowski/DeepSeek-R1-Distill-Qwen-7B-GGUF:Q4_K_M", None),
-
-    ("bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M",      None),
-    ("bartowski/Phi-3.5-mini-instruct-GGUF:Q4_K_M",      "chatml"),
-
-    ("bartowski/functionary-small-v3.2-GGUF:Q8_0",       ("meetkai-functionary-medium-v3.2", None)),
-    ("bartowski/functionary-small-v3.2-GGUF:Q8_0",       "chatml"),
-
-    # ("bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", None),
-    ("bartowski/Meta-Llama-3.1-8B-Instruct-GGUF:Q4_K_M", "chatml"),
-
-    ("bartowski/Llama-3.2-1B-Instruct-GGUF:Q4_K_M",      ("meta-llama-Llama-3.2-3B-Instruct", None)),
-    ("bartowski/Llama-3.2-1B-Instruct-GGUF:Q4_K_M",      None),
-
-    ("bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M",      ("meta-llama-Llama-3.2-3B-Instruct", None)),
-    ("bartowski/Llama-3.2-3B-Instruct-GGUF:Q4_K_M",      None),
-
-    ("bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M",        None),
-    ("bartowski/Qwen2.5-7B-Instruct-GGUF:Q4_K_M",        "chatml"),
-
-    ("bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M",    ("NousResearch/Hermes-2-Pro-Llama-3-8B", "tool_use")),
-    ("bartowski/Hermes-2-Pro-Llama-3-8B-GGUF:Q4_K_M",    "chatml"),
-
-    ("bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M",      ("NousResearch-Hermes-3-Llama-3.1-8B", "tool_use")),
-    ("bartowski/Hermes-3-Llama-3.1-8B-GGUF:Q4_K_M",      "chatml"),
-
-    ("bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M", None),
-    ("bartowski/Mistral-Nemo-Instruct-2407-GGUF:Q4_K_M", "chatml"),
-
-    ("bartowski/gemma-2-2b-it-GGUF:Q4_K_M",              None),
-    ("bartowski/gemma-2-2b-it-GGUF:Q4_K_M",              "chatml"),
-])
-def test_hello_world(hf_repo: str, template_override: str | Tuple[str, str | None] | None, stream: CompletionMode):
-    global server
-    n_predict = 512 # High because of DeepSeek R1
-    server.jinja = True
-    server.n_ctx = 8192
-    server.n_predict = n_predict
-    server.model_hf_repo = hf_repo
-    server.model_hf_file = None
-    if isinstance(template_override, tuple):
-        (template_hf_repo, template_variant) = template_override
-        server.chat_template_file = f"../../../models/templates/{template_hf_repo.replace('/', '-') + ('-' + template_variant if template_variant else '')}.jinja"
-        assert os.path.exists(server.chat_template_file), f"Template file {server.chat_template_file} does not exist. Run `python scripts/get_chat_template.py {template_hf_repo} {template_variant} > {server.chat_template_file}` to download the template."
-    elif isinstance(template_override, str):
-        server.chat_template = template_override
-    server.start(timeout_seconds=TIMEOUT_SERVER_START)
-
-    do_test_hello_world(server, stream=stream == CompletionMode.STREAMED, max_tokens=n_predict)
-
-
-def do_test_hello_world(server: ServerProcess, **kwargs):
-    body = server.make_any_request("POST", "/v1/chat/completions", data={
-        "messages": [
-            {"role": "system", "content": "You are a tool-calling agent."},
-            {"role": "user", "content": "say hello world with python"},
-        ],
-        "tools": [PYTHON_TOOL],
-        **kwargs,
-    }, timeout=TIMEOUT_HTTP_REQUEST)
-    choice = body["choices"][0]
-    tool_calls = choice["message"].get("tool_calls")
-    assert tool_calls and len(tool_calls) == 1, f'Expected 1 tool call in {choice["message"]}'
-    tool_call = tool_calls[0]
-    # assert choice["message"].get("content") in (None, ""), f'Expected no content in {choice["message"]}'
-    assert tool_call["function"]["name"] == PYTHON_TOOL["function"]["name"]
-    # assert len(tool_call.get("id", "")) > 0, f'Expected non empty tool call id in {tool_call}'
-    actual_arguments = json.loads(tool_call["function"]["arguments"])
-    assert 'code' in actual_arguments, f"code not found in {json.dumps(actual_arguments)}"
-    code = actual_arguments["code"]
-    assert isinstance(code, str), f"Expected code to be a string, got {type(code)}: {json.dumps(code)}"
-    assert re.match(r'''print\(("[Hh]ello,? [Ww]orld!?"|'[Hh]ello,? [Ww]orld!?')\)''', re.sub(r'#.*\n?', '', code)), f'Expected hello world, got {code}'
diff --git a/tools/server/tests/utils.py b/tools/server/tests/utils.py
deleted file mode 100644
index 881d3c705..000000000
--- a/tools/server/tests/utils.py
+++ /dev/null
@@ -1,564 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-
-# type: ignore[reportUnusedImport]
-
-import subprocess
-import os
-import re
-import json
-import sys
-import requests
-import time
-from concurrent.futures import ThreadPoolExecutor, as_completed
-from typing import (
-    Any,
-    Callable,
-    ContextManager,
-    Iterable,
-    Iterator,
-    List,
-    Literal,
-    Tuple,
-    Set,
-)
-from re import RegexFlag
-import wget
-
-
-DEFAULT_HTTP_TIMEOUT = 12
-
-if "LLAMA_SANITIZE" in os.environ or "GITHUB_ACTION" in os.environ:
-    DEFAULT_HTTP_TIMEOUT = 30
-
-
-class ServerResponse:
-    headers: dict
-    status_code: int
-    body: dict | Any
-
-
-class ServerProcess:
-    # default options
-    debug: bool = False
-    server_port: int = 8080
-    server_host: str = "127.0.0.1"
-    model_hf_repo: str = "ggml-org/models"
-    model_hf_file: str | None = "tinyllamas/stories260K.gguf"
-    model_alias: str = "tinyllama-2"
-    temperature: float = 0.8
-    seed: int = 42
-
-    # custom options
-    model_alias: str | None = None
-    model_url: str | None = None
-    model_file: str | None = None
-    model_draft: str | None = None
-    n_threads: int | None = None
-    n_gpu_layer: int | None = None
-    n_batch: int | None = None
-    n_ubatch: int | None = None
-    n_ctx: int | None = None
-    n_ga: int | None = None
-    n_ga_w: int | None = None
-    n_predict: int | None = None
-    n_prompts: int | None = 0
-    slot_save_path: str | None = None
-    id_slot: int | None = None
-    cache_prompt: bool | None = None
-    n_slots: int | None = None
-    ctk: str | None = None
-    ctv: str | None = None
-    fa: bool | None = None
-    server_continuous_batching: bool | None = False
-    server_embeddings: bool | None = False
-    server_reranking: bool | None = False
-    server_metrics: bool | None = False
-    server_slots: bool | None = False
-    pooling: str | None = None
-    draft: int | None = None
-    api_key: str | None = None
-    lora_files: List[str] | None = None
-    disable_ctx_shift: int | None = False
-    draft_min: int | None = None
-    draft_max: int | None = None
-    no_webui: bool | None = None
-    jinja: bool | None = None
-    reasoning_format: Literal['deepseek', 'none', 'nothink'] | None = None
-    reasoning_budget: int | None = None
-    chat_template: str | None = None
-    chat_template_file: str | None = None
-    server_path: str | None = None
-    mmproj_url: str | None = None
-
-    # session variables
-    process: subprocess.Popen | None = None
-
-    def __init__(self):
-        if "N_GPU_LAYERS" in os.environ:
-            self.n_gpu_layer = int(os.environ["N_GPU_LAYERS"])
-        if "DEBUG" in os.environ:
-            self.debug = True
-        if "PORT" in os.environ:
-            self.server_port = int(os.environ["PORT"])
-
-    def start(self, timeout_seconds: int | None = DEFAULT_HTTP_TIMEOUT) -> None:
-        if self.server_path is not None:
-            server_path = self.server_path
-        elif "LLAMA_SERVER_BIN_PATH" in os.environ:
-            server_path = os.environ["LLAMA_SERVER_BIN_PATH"]
-        elif os.name == "nt":
-            server_path = "../../../build/bin/Release/llama-server.exe"
-        else:
-            server_path = "../../../build/bin/llama-server"
-        server_args = [
-            "--host",
-            self.server_host,
-            "--port",
-            self.server_port,
-            "--temp",
-            self.temperature,
-            "--seed",
-            self.seed,
-        ]
-        if self.model_file:
-            server_args.extend(["--model", self.model_file])
-        if self.model_url:
-            server_args.extend(["--model-url", self.model_url])
-        if self.model_draft:
-            server_args.extend(["--model-draft", self.model_draft])
-        if self.model_hf_repo:
-            server_args.extend(["--hf-repo", self.model_hf_repo])
-        if self.model_hf_file:
-            server_args.extend(["--hf-file", self.model_hf_file])
-        if self.n_batch:
-            server_args.extend(["--batch-size", self.n_batch])
-        if self.n_ubatch:
-            server_args.extend(["--ubatch-size", self.n_ubatch])
-        if self.n_threads:
-            server_args.extend(["--threads", self.n_threads])
-        if self.n_gpu_layer:
-            server_args.extend(["--n-gpu-layers", self.n_gpu_layer])
-        if self.draft is not None:
-            server_args.extend(["--draft", self.draft])
-        if self.server_continuous_batching:
-            server_args.append("--cont-batching")
-        if self.server_embeddings:
-            server_args.append("--embedding")
-        if self.server_reranking:
-            server_args.append("--reranking")
-        if self.server_metrics:
-            server_args.append("--metrics")
-        if self.server_slots:
-            server_args.append("--slots")
-        if self.pooling:
-            server_args.extend(["--pooling", self.pooling])
-        if self.model_alias:
-            server_args.extend(["--alias", self.model_alias])
-        if self.n_ctx:
-            server_args.extend(["--ctx-size", self.n_ctx])
-        if self.n_slots:
-            server_args.extend(["--parallel", self.n_slots])
-        if self.ctk:
-            server_args.extend(["-ctk", self.ctk])
-        if self.ctv:
-            server_args.extend(["-ctv", self.ctv])
-        if self.fa is not None:
-            server_args.append("-fa")
-        if self.n_predict:
-            server_args.extend(["--n-predict", self.n_predict])
-        if self.slot_save_path:
-            server_args.extend(["--slot-save-path", self.slot_save_path])
-        if self.n_ga:
-            server_args.extend(["--grp-attn-n", self.n_ga])
-        if self.n_ga_w:
-            server_args.extend(["--grp-attn-w", self.n_ga_w])
-        if self.debug:
-            server_args.append("--verbose")
-        if self.lora_files:
-            for lora_file in self.lora_files:
-                server_args.extend(["--lora", lora_file])
-        if self.disable_ctx_shift:
-            server_args.extend(["--no-context-shift"])
-        if self.api_key:
-            server_args.extend(["--api-key", self.api_key])
-        if self.draft_max:
-            server_args.extend(["--draft-max", self.draft_max])
-        if self.draft_min:
-            server_args.extend(["--draft-min", self.draft_min])
-        if self.no_webui:
-            server_args.append("--no-webui")
-        if self.jinja:
-            server_args.append("--jinja")
-        if self.reasoning_format is not None:
-            server_args.extend(("--reasoning-format", self.reasoning_format))
-        if self.reasoning_budget is not None:
-            server_args.extend(("--reasoning-budget", self.reasoning_budget))
-        if self.chat_template:
-            server_args.extend(["--chat-template", self.chat_template])
-        if self.chat_template_file:
-            server_args.extend(["--chat-template-file", self.chat_template_file])
-        if self.mmproj_url:
-            server_args.extend(["--mmproj-url", self.mmproj_url])
-
-        args = [str(arg) for arg in [server_path, *server_args]]
-        print(f"tests: starting server with: {' '.join(args)}")
-
-        flags = 0
-        if "nt" == os.name:
-            flags |= subprocess.DETACHED_PROCESS
-            flags |= subprocess.CREATE_NEW_PROCESS_GROUP
-            flags |= subprocess.CREATE_NO_WINDOW
-
-        self.process = subprocess.Popen(
-            [str(arg) for arg in [server_path, *server_args]],
-            creationflags=flags,
-            stdout=sys.stdout,
-            stderr=sys.stdout,
-            env={**os.environ, "LLAMA_CACHE": "tmp"} if "LLAMA_CACHE" not in os.environ else None,
-        )
-        server_instances.add(self)
-
-        print(f"server pid={self.process.pid}, pytest pid={os.getpid()}")
-
-        # wait for server to start
-        start_time = time.time()
-        while time.time() - start_time < timeout_seconds:
-            try:
-                response = self.make_request("GET", "/health", headers={
-                    "Authorization": f"Bearer {self.api_key}" if self.api_key else None
-                })
-                if response.status_code == 200:
-                    self.ready = True
-                    return  # server is ready
-            except Exception as e:
-                pass
-            # Check if process died
-            if self.process.poll() is not None:
-                raise RuntimeError(f"Server process died with return code {self.process.returncode}")
-
-            print(f"Waiting for server to start...")
-            time.sleep(0.5)
-        raise TimeoutError(f"Server did not start within {timeout_seconds} seconds")
-
-    def stop(self) -> None:
-        if self in server_instances:
-            server_instances.remove(self)
-        if self.process:
-            print(f"Stopping server with pid={self.process.pid}")
-            self.process.kill()
-            self.process = None
-
-    def make_request(
-        self,
-        method: str,
-        path: str,
-        data: dict | Any | None = None,
-        headers: dict | None = None,
-        timeout: float | None = None,
-    ) -> ServerResponse:
-        url = f"http://{self.server_host}:{self.server_port}{path}"
-        parse_body = False
-        if method == "GET":
-            response = requests.get(url, headers=headers, timeout=timeout)
-            parse_body = True
-        elif method == "POST":
-            response = requests.post(url, headers=headers, json=data, timeout=timeout)
-            parse_body = True
-        elif method == "OPTIONS":
-            response = requests.options(url, headers=headers, timeout=timeout)
-        else:
-            raise ValueError(f"Unimplemented method: {method}")
-        result = ServerResponse()
-        result.headers = dict(response.headers)
-        result.status_code = response.status_code
-        result.body = response.json() if parse_body else None
-        print("Response from server", json.dumps(result.body, indent=2))
-        return result
-
-    def make_stream_request(
-        self,
-        method: str,
-        path: str,
-        data: dict | None = None,
-        headers: dict | None = None,
-    ) -> Iterator[dict]:
-        url = f"http://{self.server_host}:{self.server_port}{path}"
-        if method == "POST":
-            response = requests.post(url, headers=headers, json=data, stream=True)
-        else:
-            raise ValueError(f"Unimplemented method: {method}")
-        for line_bytes in response.iter_lines():
-            line = line_bytes.decode("utf-8")
-            if '[DONE]' in line:
-                break
-            elif line.startswith('data: '):
-                data = json.loads(line[6:])
-                print("Partial response from server", json.dumps(data, indent=2))
-                yield data
-
-    def make_any_request(
-        self,
-        method: str,
-        path: str,
-        data: dict | None = None,
-        headers: dict | None = None,
-        timeout: float | None = None,
-    ) -> dict:
-        stream = data.get('stream', False)
-        if stream:
-            content: list[str] = []
-            reasoning_content: list[str] = []
-            tool_calls: list[dict] = []
-            finish_reason: Optional[str] = None
-
-            content_parts = 0
-            reasoning_content_parts = 0
-            tool_call_parts = 0
-            arguments_parts = 0
-
-            for chunk in self.make_stream_request(method, path, data, headers):
-                if chunk['choices']:
-                    assert len(chunk['choices']) == 1, f'Expected 1 choice, got {len(chunk["choices"])}'
-                    choice = chunk['choices'][0]
-                    if choice['delta'].get('content') is not None:
-                        assert len(choice['delta']['content']) > 0, f'Expected non empty content delta!'
-                        content.append(choice['delta']['content'])
-                        content_parts += 1
-                    if choice['delta'].get('reasoning_content') is not None:
-                        assert len(choice['delta']['reasoning_content']) > 0, f'Expected non empty reasoning_content delta!'
-                        reasoning_content.append(choice['delta']['reasoning_content'])
-                        reasoning_content_parts += 1
-                    if choice['delta'].get('finish_reason') is not None:
-                        finish_reason = choice['delta']['finish_reason']
-                    for tc in choice['delta'].get('tool_calls', []):
-                        if 'function' not in tc:
-                            raise ValueError(f"Expected function type, got {tc['type']}")
-                        if tc['index'] >= len(tool_calls):
-                            assert 'id' in tc
-                            assert tc.get('type') == 'function'
-                            assert 'function' in tc and 'name' in tc['function'] and len(tc['function']['name']) > 0, \
-                                f"Expected function call with name, got {tc.get('function')}"
-                            tool_calls.append(dict(
-                                id="",
-                                type="function",
-                                function=dict(
-                                    name="",
-                                    arguments="",
-                                )
-                            ))
-                        tool_call = tool_calls[tc['index']]
-                        if tc.get('id') is not None:
-                            tool_call['id'] = tc['id']
-                        fct = tc['function']
-                        assert 'id' not in fct, f"Function call should not have id: {fct}"
-                        if fct.get('name') is not None:
-                            tool_call['function']['name'] = tool_call['function'].get('name', '') + fct['name']
-                        if fct.get('arguments') is not None:
-                            tool_call['function']['arguments'] += fct['arguments']
-                            arguments_parts += 1
-                        tool_call_parts += 1
-                else:
-                    # When `include_usage` is True (the default), we expect the last chunk of the stream
-                    # immediately preceding the `data: [DONE]` message to contain a `choices` field with an empty array
-                    # and a `usage` field containing the usage statistics (n.b., llama-server also returns `timings` in
-                    # the last chunk)
-                    assert 'usage' in chunk, f"Expected finish_reason in chunk: {chunk}"
-                    assert 'timings' in chunk, f"Expected finish_reason in chunk: {chunk}"
-            print(f'Streamed response had {content_parts} content parts, {reasoning_content_parts} reasoning_content parts, {tool_call_parts} tool call parts incl. {arguments_parts} arguments parts')
-            result = dict(
-                choices=[
-                    dict(
-                        index=0,
-                        finish_reason=finish_reason,
-                        message=dict(
-                            role='assistant',
-                            content=''.join(content) if content else None,
-                            reasoning_content=''.join(reasoning_content) if reasoning_content else None,
-                            tool_calls=tool_calls if tool_calls else None,
-                        ),
-                    )
-                ],
-            )
-            print("Final response from server", json.dumps(result, indent=2))
-            return result
-        else:
-            response = self.make_request(method, path, data, headers, timeout=timeout)
-            assert response.status_code == 200, f"Server returned error: {response.status_code}"
-            return response.body
-
-
-
-server_instances: Set[ServerProcess] = set()
-
-
-class ServerPreset:
-    @staticmethod
-    def tinyllama2() -> ServerProcess:
-        server = ServerProcess()
-        server.model_hf_repo = "ggml-org/models"
-        server.model_hf_file = "tinyllamas/stories260K.gguf"
-        server.model_alias = "tinyllama-2"
-        server.n_ctx = 512
-        server.n_batch = 32
-        server.n_slots = 2
-        server.n_predict = 64
-        server.seed = 42
-        return server
-
-    @staticmethod
-    def bert_bge_small() -> ServerProcess:
-        server = ServerProcess()
-        server.model_hf_repo = "ggml-org/models"
-        server.model_hf_file = "bert-bge-small/ggml-model-f16.gguf"
-        server.model_alias = "bert-bge-small"
-        server.n_ctx = 512
-        server.n_batch = 128
-        server.n_ubatch = 128
-        server.n_slots = 2
-        server.seed = 42
-        server.server_embeddings = True
-        return server
-
-    @staticmethod
-    def bert_bge_small_with_fa() -> ServerProcess:
-        server = ServerProcess()
-        server.model_hf_repo = "ggml-org/models"
-        server.model_hf_file = "bert-bge-small/ggml-model-f16.gguf"
-        server.model_alias = "bert-bge-small"
-        server.n_ctx = 1024
-        server.n_batch = 300
-        server.n_ubatch = 300
-        server.n_slots = 2
-        server.fa = True
-        server.seed = 42
-        server.server_embeddings = True
-        return server
-
-    @staticmethod
-    def tinyllama_infill() -> ServerProcess:
-        server = ServerProcess()
-        server.model_hf_repo = "ggml-org/models"
-        server.model_hf_file = "tinyllamas/stories260K-infill.gguf"
-        server.model_alias = "tinyllama-infill"
-        server.n_ctx = 2048
-        server.n_batch = 1024
-        server.n_slots = 1
-        server.n_predict = 64
-        server.temperature = 0.0
-        server.seed = 42
-        return server
-
-    @staticmethod
-    def stories15m_moe() -> ServerProcess:
-        server = ServerProcess()
-        server.model_hf_repo = "ggml-org/stories15M_MOE"
-        server.model_hf_file = "stories15M_MOE-F16.gguf"
-        server.model_alias = "stories15m-moe"
-        server.n_ctx = 2048
-        server.n_batch = 1024
-        server.n_slots = 1
-        server.n_predict = 64
-        server.temperature = 0.0
-        server.seed = 42
-        return server
-
-    @staticmethod
-    def jina_reranker_tiny() -> ServerProcess:
-        server = ServerProcess()
-        server.model_hf_repo = "ggml-org/models"
-        server.model_hf_file = "jina-reranker-v1-tiny-en/ggml-model-f16.gguf"
-        server.model_alias = "jina-reranker"
-        server.n_ctx = 512
-        server.n_batch = 512
-        server.n_slots = 1
-        server.seed = 42
-        server.server_reranking = True
-        return server
-
-    @staticmethod
-    def tinygemma3() -> ServerProcess:
-        server = ServerProcess()
-        # mmproj is already provided by HF registry API
-        server.model_hf_repo = "ggml-org/tinygemma3-GGUF"
-        server.model_hf_file = "tinygemma3-Q8_0.gguf"
-        server.mmproj_url = "https://huggingface.co/ggml-org/tinygemma3-GGUF/resolve/main/mmproj-tinygemma3.gguf"
-        server.model_alias = "tinygemma3"
-        server.n_ctx = 1024
-        server.n_batch = 32
-        server.n_slots = 2
-        server.n_predict = 4
-        server.seed = 42
-        return server
-
-
-def parallel_function_calls(function_list: List[Tuple[Callable[..., Any], Tuple[Any, ...]]]) -> List[Any]:
-    """
-    Run multiple functions in parallel and return results in the same order as calls. Equivalent to Promise.all in JS.
-
-    Example usage:
-
-    results = parallel_function_calls([
-        (func1, (arg1, arg2)),
-        (func2, (arg3, arg4)),
-    ])
-    """
-    results = [None] * len(function_list)
-    exceptions = []
-
-    def worker(index, func, args):
-        try:
-            result = func(*args)
-            results[index] = result
-        except Exception as e:
-            exceptions.append((index, str(e)))
-
-    with ThreadPoolExecutor() as executor:
-        futures = []
-        for i, (func, args) in enumerate(function_list):
-            future = executor.submit(worker, i, func, args)
-            futures.append(future)
-
-        # Wait for all futures to complete
-        for future in as_completed(futures):
-            pass
-
-    # Check if there were any exceptions
-    if exceptions:
-        print("Exceptions occurred:")
-        for index, error in exceptions:
-            print(f"Function at index {index}: {error}")
-
-    return results
-
-
-def match_regex(regex: str, text: str) -> bool:
-    return (
-        re.compile(
-            regex, flags=RegexFlag.IGNORECASE | RegexFlag.MULTILINE | RegexFlag.DOTALL
-        ).search(text)
-        is not None
-    )
-
-
-def download_file(url: str, output_file_path: str | None = None) -> str:
-    """
-    Download a file from a URL to a local path. If the file already exists, it will not be downloaded again.
-
-    output_file_path is the local path to save the downloaded file. If not provided, the file will be saved in the root directory.
-
-    Returns the local path of the downloaded file.
-    """
-    file_name = url.split('/').pop()
-    output_file = f'./tmp/{file_name}' if output_file_path is None else output_file_path
-    if not os.path.exists(output_file):
-        print(f"Downloading {url} to {output_file}")
-        wget.download(url, out=output_file)
-        print(f"Done downloading to {output_file}")
-    else:
-        print(f"File already exists at {output_file}")
-    return output_file
-
-
-def is_slow_test_allowed():
-    return os.environ.get("SLOW_TESTS") == "1" or os.environ.get("SLOW_TESTS") == "ON"

From 1fa9b2b747a87a450c5663cf90f1130462118114 Mon Sep 17 00:00:00 2001
From: firecoperana <firecoperana>
Date: Fri, 29 Aug 2025 21:16:00 -0500
Subject: [PATCH 12/15] add log

---
 examples/server/server.cpp | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/examples/server/server.cpp b/examples/server/server.cpp
index fc1088e71..e73c7698a 100644
--- a/examples/server/server.cpp
+++ b/examples/server/server.cpp
@@ -762,7 +762,7 @@ struct server_slot {
 
     const common_chat_msg& update_chat_msg(std::vector<common_chat_msg_diff>& diffs) {
         auto previous_msg = chat_msg;
-        //LLAMA_LOG_DEBUG("Parsing chat message: %s\n", generated_text.c_str());
+        
         auto new_msg = common_chat_parse(
             generated_text,
             /* is_partial= */ stop != STOP_TYPE_EOS,
@@ -772,6 +772,9 @@ struct server_slot {
             chat_msg = new_msg;
             diffs = common_chat_msg_diff::compute_diffs(previous_msg, new_msg.empty() ? previous_msg : new_msg);
         }
+        LLAMA_LOG_DEBUG("Parsing chat message: %s\n", generated_text.c_str());
+        LLAMA_LOG_DEBUG("Parsing chat message: %s\n", chat_msg.reasoning_content.c_str());
+        LLAMA_LOG_DEBUG("Parsing chat message: %s\n", chat_msg.content.c_str());
         return chat_msg;
     }
 
@@ -2947,7 +2950,7 @@ struct server_context {
                                 slot.ga_i      = 0;
                             } else {
                                 GGML_ASSERT(slot.ga_n == 1);
-
+                                
                                 // reuse any previously computed tokens that are common with the new prompt
                                 slot.n_past = common_part(slot.cache_tokens, prompt_tokens);
 

From 41223f91d236ff0fa75aeca170a576e4d1ba8825 Mon Sep 17 00:00:00 2001
From: Iwan Kawrakow <iwan.kawrakow@gmail.com>
Date: Sat, 30 Aug 2025 08:21:55 +0300
Subject: [PATCH 13/15] Chat fixes

---
 src/llama-vocab.cpp | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/src/llama-vocab.cpp b/src/llama-vocab.cpp
index 32c31e8d3..e5ff92da2 100644
--- a/src/llama-vocab.cpp
+++ b/src/llama-vocab.cpp
@@ -2340,7 +2340,7 @@ void llama_vocab::impl::load(llama_model_loader & ml, const LLM_KV & kv) {
 
         // @ngxson : quick hack for gpt-oss, always render these tokens
         for (const auto & t : token_to_id) {
-            if (t.first == "<|channel|>" || t.first == "<|message|>" || t.first == "<|start|>") {
+            if (t.first == "<|channel|>" || t.first == "<|message|>" || t.first == "<|start|>" || t.first == "<|constrain|>") {
                 id_to_token[t.second].attr = LLAMA_TOKEN_ATTR_USER_DEFINED;
             }
         }
@@ -2387,6 +2387,7 @@ void llama_vocab::impl::load(llama_model_loader & ml, const LLM_KV & kv) {
 
             if (has_return && has_call && has_end) {
                 special_eog_ids.erase(end_id);
+                id_to_token[end_id].attr = LLAMA_TOKEN_ATTR_USER_DEFINED;
                 LLAMA_LOG_WARN("%s: special_eog_ids contains both '<|return|>' and '<|call|>' tokens, removing '<|end|>' token from EOG list\n", __func__);
             }
         }
@@ -2468,7 +2469,7 @@ void llama_vocab::impl::load(llama_model_loader & ml, const LLM_KV & kv) {
         // set attributes by model/tokenizer/architecture name
         if (false
                 || _contains_any(tokenizer_pre, {"jina-v2-de", "jina-v2-es", "jina-v2-code"})
-                || _contains_any(general_arch, {"nomic-bert-moe"})
+                || _contains_any(general_arch, {"nomic-bert-moe", "jina-bert-v3"})
            ) {
             if (token_to_id.count("<mask>") == 0) {
                 LLAMA_LOG_WARN("%s: Mask token is missing in vocab, please reconvert model!\n", __func__);

From d6900687921eb3b27377c180039f67c09add163f Mon Sep 17 00:00:00 2001
From: firecoperana <firecoperana>
Date: Sat, 30 Aug 2025 08:08:01 -0500
Subject: [PATCH 14/15] Remove logs

---
 examples/server/server.cpp | 9 ++++-----
 1 file changed, 4 insertions(+), 5 deletions(-)

diff --git a/examples/server/server.cpp b/examples/server/server.cpp
index e73c7698a..ee8ce94e4 100644
--- a/examples/server/server.cpp
+++ b/examples/server/server.cpp
@@ -761,8 +761,7 @@ struct server_slot {
     }
 
     const common_chat_msg& update_chat_msg(std::vector<common_chat_msg_diff>& diffs) {
-        auto previous_msg = chat_msg;
-        
+        auto previous_msg = chat_msg;      
         auto new_msg = common_chat_parse(
             generated_text,
             /* is_partial= */ stop != STOP_TYPE_EOS,
@@ -772,9 +771,9 @@ struct server_slot {
             chat_msg = new_msg;
             diffs = common_chat_msg_diff::compute_diffs(previous_msg, new_msg.empty() ? previous_msg : new_msg);
         }
-        LLAMA_LOG_DEBUG("Parsing chat message: %s\n", generated_text.c_str());
-        LLAMA_LOG_DEBUG("Parsing chat message: %s\n", chat_msg.reasoning_content.c_str());
-        LLAMA_LOG_DEBUG("Parsing chat message: %s\n", chat_msg.content.c_str());
+        //LLAMA_LOG_DEBUG("Parsing chat message: %s\n", generated_text.c_str());
+        //LLAMA_LOG_DEBUG("Parsing chat message: %s\n", chat_msg.reasoning_content.c_str());
+        //LLAMA_LOG_DEBUG("Parsing chat message: %s\n", chat_msg.content.c_str());
         return chat_msg;
     }
 

From 94b58d3b06fd4101de160b9311229afc9a05e755 Mon Sep 17 00:00:00 2001
From: firecoperana <firecoperana>
Date: Sat, 30 Aug 2025 08:37:45 -0500
Subject: [PATCH 15/15] webui: revert extra handling of thinking process

---
 examples/server/public/index.html.gz          | Bin 1292796 -> 1292778 bytes
 examples/server/webui/dist/index.html         |   4 ++--
 .../webui/src/components/ChatMessage.tsx      |   2 +-
 examples/server/webui/src/utils/misc.ts       |   2 +-
 4 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/examples/server/public/index.html.gz b/examples/server/public/index.html.gz
index bb7859879a4d6731cac2d42984605eeb7d4562af..9f88ca2a29f14648f9aa18661e4ee9308028c5a4 100644
GIT binary patch
delta 1074988
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mr-2",onClick:()=>{e.content!==null&&a(e)},disabled:e.content===null,children:"🔄 Regenerate"}),!c&&j.jsx("button",{className:"badge btn-mini show-on-hover",onClick:()=>w(e.content),disabled:e.content===null,children:"✍️ Edit"})]}),j.jsx(Fv,{className:"badge btn-mini show-on-hover mr-2",content:e.content})]})]}):null}const Uv=typeof SharedArrayBuffer=="function",cC=`
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diff --git a/examples/server/webui/src/components/ChatMessage.tsx b/examples/server/webui/src/components/ChatMessage.tsx
index 23a7b6708..d04a70571 100644
--- a/examples/server/webui/src/components/ChatMessage.tsx
+++ b/examples/server/webui/src/components/ChatMessage.tsx
@@ -58,7 +58,7 @@ export default function ChatMessage({
     }      
 
     const REGEX_THINK_OPEN = /<think>|<\|channel\|>analysis<\|message\|>/;
-    const REGEX_THINK_CLOSE = /<\/think>|<\|end\|>|<\|start\|>assistant<\|channel\|>final<\|message\|>/;
+    const REGEX_THINK_CLOSE = /<\/think>|<\|end\|>/;
     let actualContent = '';
     let thought = '';
     let isThinking = false;
diff --git a/examples/server/webui/src/utils/misc.ts b/examples/server/webui/src/utils/misc.ts
index bf63dcbd4..6550175c6 100644
--- a/examples/server/webui/src/utils/misc.ts
+++ b/examples/server/webui/src/utils/misc.ts
@@ -92,7 +92,7 @@ export function filterThoughtFromMsgs(messages: APIMessage[]) {
       content:
         msg.role === 'assistant'
           ? contentStr
-              .split(/<\/think>|<\|end\|>|<\|message\|>/)
+              .split(/<\/think>|<\|end\|>/)
               .at(-1)!
               .trim()
           : contentStr,