code · pull · Oct 23, 2025 · Oct 23, 2025
diff --git a/capabilities/classification/evaluation/promptfooconfig.yaml b/capabilities/classification/evaluation/promptfooconfig.yaml
@@ -7,27 +7,27 @@ prompts:
   - prompts.py:rag_chain_of_thought_classify
 
 providers:
-  - id: anthropic:messages:claude-3-haiku-20240307
+  - id: anthropic:messages:claude-haiku-4-5
     label: "Haiku: T-0.0"
     config:
       max_tokens: 4096
       temperature: 0
-  - id: anthropic:messages:claude-3-haiku-20240307
+  - id: anthropic:messages:claude-haiku-4-5
     label: "Haiku: T-0.2"
     config:
       max_tokens: 4096
       temperature: 0.2
-  - id: anthropic:messages:claude-3-haiku-20240307
+  - id: anthropic:messages:claude-haiku-4-5
     label: "Haiku: T-0.4"
     config:
       max_tokens: 4096
       temperature: 0.4
-  - id: anthropic:messages:claude-3-haiku-20240307
+  - id: anthropic:messages:claude-haiku-4-5
     label: "Haiku: T-0.6"
     config:
       max_tokens: 4096
       temperature: 0.6
-  - id: anthropic:messages:claude-3-haiku-20240307
+  - id: anthropic:messages:claude-haiku-4-5
     label: "Haiku: T-0.8"
     config:
       max_tokens: 4096

diff --git a/capabilities/classification/guide.ipynb b/capabilities/classification/guide.ipynb
@@ -490,7 +490,7 @@
     "        stop_sequences=[\"</category>\"], \n",
     "        max_tokens=4096, \n",
     "        temperature=0.0,\n",
-    "        model=\"claude-3-haiku-20240307\"\n",
+    "        model=\"claude-haiku-4-5\"\n",
     "    )\n",
     "    \n",
     "    # Extract the result from the response\n",
@@ -734,7 +734,7 @@
     "        stop_sequences=[\"</category>\"], \n",
     "        max_tokens=4096, \n",
     "        temperature=0.0,\n",
-    "        model=\"claude-3-haiku-20240307\"\n",
+    "        model=\"claude-haiku-4-5\"\n",
     "    )\n",
     "    \n",
     "    # Extract the result from the response\n",
@@ -846,7 +846,7 @@
     "        stop_sequences=[\"</category>\"], \n",
     "        max_tokens=4096, \n",
     "        temperature=0.0,\n",
-    "        model=\"claude-3-haiku-20240307\"\n",
+    "        model=\"claude-haiku-4-5\"\n",
     "    )\n",
     "    \n",
     "    # Extract the result from the response\n",

diff --git a/capabilities/contextual-embeddings/guide.ipynb b/capabilities/contextual-embeddings/guide.ipynb
diff --git a/capabilities/retrieval_augmented_generation/evaluation/eval_end_to_end.py b/capabilities/retrieval_augmented_generation/evaluation/eval_end_to_end.py
@@ -35,7 +35,7 @@ def evaluate_end_to_end(query, generated_answer, correct_answer):
     client = Anthropic(api_key=os.environ.get('ANTHROPIC_API_KEY'))
     try:
         response = client.messages.create(
-            model="claude-3-5-sonnet-20241022",
+            model="claude-sonnet-4-5",
             max_tokens=1500,
             messages=[
                 {"role": "user", "content": prompt},

diff --git a/capabilities/retrieval_augmented_generation/evaluation/promptfooconfig_end_to_end.yaml b/capabilities/retrieval_augmented_generation/evaluation/promptfooconfig_end_to_end.yaml
@@ -7,13 +7,13 @@ prompts:
   - prompts.py:answer_query_level_three
 
 providers:
-  - id: anthropic:messages:claude-3-haiku-20240307
+  - id: anthropic:messages:claude-haiku-4-5
     label: "Haiku: T-0.0"
     config:
       max_tokens: 2500
       temperature: 0
 
-  - id: anthropic:messages:claude-3-5-sonnet-20241022
+  - id: anthropic:messages:claude-sonnet-4-5
     label: "3.5 Sonnet: T-0.0"
     config:
       max_tokens: 2500

diff --git a/capabilities/retrieval_augmented_generation/evaluation/prompts.py b/capabilities/retrieval_augmented_generation/evaluation/prompts.py
@@ -106,7 +106,7 @@ def _rerank_results(query: str, results: List[Dict], k: int = 5) -> List[Dict]:
     """
     try:
         response = client.messages.create(
-            model="claude-3-haiku-20240307",
+            model="claude-haiku-4-5",
             max_tokens=50,
             messages=[{"role": "user", "content": prompt}, {"role": "assistant", "content": "<relevant_indices>"}],
             temperature=0,

diff --git a/capabilities/retrieval_augmented_generation/evaluation/provider_retrieval.py b/capabilities/retrieval_augmented_generation/evaluation/provider_retrieval.py
@@ -67,7 +67,7 @@ def _rerank_results(query: str, results: List[Dict], k: int = 3) -> List[Dict]:
     client = Anthropic(api_key=os.environ.get('ANTHROPIC_API_KEY'))
     try:
         response = client.messages.create(
-            model="claude-3-5-sonnet-20241022",
+            model="claude-sonnet-4-5",
             max_tokens=50,
             messages=[{"role": "user", "content": prompt}, {"role": "assistant", "content": "<relevant_indices>"}],
             temperature=0,

diff --git a/capabilities/retrieval_augmented_generation/guide.ipynb b/capabilities/retrieval_augmented_generation/guide.ipynb
@@ -360,7 +360,7 @@
     "    Answer the question now, and avoid providing preamble such as 'Here is the answer', etc\n",
     "    \"\"\"\n",
     "    response = client.messages.create(\n",
-    "        model=\"claude-3-haiku-20240307\",\n",
+    "        model=\"claude-haiku-4-5\",\n",
     "        max_tokens=2500,\n",
     "        messages=[\n",
     "            {\"role\": \"user\", \"content\": prompt}\n",
@@ -643,7 +643,7 @@
     "        \n",
     "        try:\n",
     "            response = client.messages.create(\n",
-    "                model=\"claude-3-5-sonnet-20241022\",\n",
+    "                model=\"claude-sonnet-4-5\",\n",
     "                max_tokens=1500,\n",
     "                messages=[\n",
     "                    {\"role\": \"user\", \"content\": prompt},\n",
@@ -3264,7 +3264,7 @@
     "        \"\"\"\n",
     "\n",
     "        response = client.messages.create(\n",
-    "            model=\"claude-3-haiku-20240307\",\n",
+    "            model=\"claude-haiku-4-5\",\n",
     "            max_tokens=150,\n",
     "            messages=[\n",
     "                {\"role\": \"user\", \"content\": prompt}\n",
@@ -3461,7 +3461,7 @@
     "    Answer the question now, and avoid providing preamble such as 'Here is the answer', etc\n",
     "    \"\"\"\n",
     "    response = client.messages.create(\n",
-    "        model=\"claude-3-haiku-20240307\",\n",
+    "        model=\"claude-haiku-4-5\",\n",
     "        max_tokens=2500,\n",
     "        messages=[\n",
     "            {\"role\": \"user\", \"content\": prompt}\n",
@@ -5975,7 +5975,7 @@
     "    \"\"\"\n",
     "    try:\n",
     "        response = client.messages.create(\n",
-    "            model=\"claude-3-haiku-20240307\",\n",
+    "            model=\"claude-haiku-4-5\",\n",
     "            max_tokens=50,\n",
     "            messages=[{\"role\": \"user\", \"content\": prompt}, {\"role\": \"assistant\", \"content\": \"<relevant_indices>\"}],\n",
     "            temperature=0,\n",
@@ -6044,7 +6044,7 @@
     "    Answer the question now, and avoid providing preamble such as 'Here is the answer', etc\n",
     "    \"\"\"\n",
     "    response = client.messages.create(\n",
-    "        model=\"claude-3-haiku-20240307\",\n",
+    "        model=\"claude-haiku-4-5\",\n",
     "        max_tokens=2500,\n",
     "        messages=[{\"role\": \"user\", \"content\": prompt}],\n",
     "        temperature=0\n",

diff --git a/capabilities/summarization/evaluation/custom_evals/llm_eval.py b/capabilities/summarization/evaluation/custom_evals/llm_eval.py
@@ -53,7 +53,7 @@ def llm_eval(summary, input):
     Evaluation (JSON format):"""
 
     response = client.messages.create(
-        model="claude-3-5-sonnet-20241022",
+        model="claude-sonnet-4-5",
         max_tokens=1000,
         temperature=0,
         messages=[

diff --git a/capabilities/summarization/evaluation/promptfooconfig.yaml b/capabilities/summarization/evaluation/promptfooconfig.yaml
@@ -6,12 +6,12 @@ prompts:
   - prompts.py:summarize_long_document
 
 providers:
-  - id: anthropic:messages:claude-3-haiku-20240307
+  - id: anthropic:messages:claude-haiku-4-5
     label: "3.0 Haiku"
     config:
       max_tokens: 4096
       temperature: 0
-  - id: anthropic:messages:claude-3-5-sonnet-20241022
+  - id: anthropic:messages:claude-sonnet-4-5
     label: "3.5 Sonnet"
     config:
       max_tokens: 4096

diff --git a/capabilities/summarization/guide.ipynb b/capabilities/summarization/guide.ipynb
@@ -198,7 +198,7 @@
     "    \"\"\"\n",
     "\n",
     "    response = client.messages.create(\n",
-    "            model=\"claude-3-5-sonnet-20241022\",\n",
+    "            model=\"claude-sonnet-4-5\",\n",
     "            max_tokens=max_tokens,\n",
     "            system=\"You are a legal analyst known for highly accurate and detailed summaries of legal documents.\",\n",
     "            messages=[\n",
@@ -338,7 +338,7 @@
     "    \"\"\"\n",
     "\n",
     "    response = client.messages.create(\n",
-    "            model=\"claude-3-5-sonnet-20241022\",\n",
+    "            model=\"claude-sonnet-4-5\",\n",
     "            max_tokens=max_tokens,\n",
     "            system=\"You are a legal analyst known for highly accurate and detailed summaries of legal documents.\",\n",
     "            messages=[\n",
@@ -463,7 +463,7 @@
     "    \"\"\"\n",
     "\n",
     "    response = client.messages.create(\n",
-    "        model=\"claude-3-5-sonnet-20241022\",\n",
+    "        model=\"claude-sonnet-4-5\",\n",
     "        max_tokens=max_tokens,\n",
     "        system=\"You are a legal analyst known for highly accurate and detailed summaries of legal documents.\",\n",
     "        messages=[\n",
@@ -561,7 +561,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "def guided_sublease_summary(text, model=\"claude-3-5-sonnet-20241022\", max_tokens=1000):\n",
+    "def guided_sublease_summary(text, model=\"claude-sonnet-4-5\", max_tokens=1000):\n",
     "\n",
     "    # Prompt the model to summarize the sublease agreement\n",
     "    prompt = f\"\"\"Summarize the following sublease agreement. Focus on these key aspects:\n",
@@ -793,7 +793,7 @@
     "    # Iterate over chunks and summarize each one\n",
     "    # We use guided_legal_summary here, but you can use basic_summarize or any other summarization function\n",
     "    # Note that we'll also use haiku for the interim summaries, and the 3.5 sonnet for the final summary\n",
-    "    chunk_summaries = [guided_sublease_summary(chunk, model=\"claude-3-haiku-20240307\", max_tokens=max_tokens) for chunk in chunks]\n",
+    "    chunk_summaries = [guided_sublease_summary(chunk, model=\"claude-haiku-4-5\", max_tokens=max_tokens) for chunk in chunks]\n",
     "    \n",
     "    final_summary_prompt = f\"\"\"\n",
     "    \n",
@@ -821,7 +821,7 @@
     "    \"\"\"\n",
     "\n",
     "    response = client.messages.create(\n",
-    "        model=\"claude-3-5-sonnet-20241022\",\n",
+    "        model=\"claude-sonnet-4-5\",\n",
     "        max_tokens=max_tokens,\n",
     "        system=\"You are a legal expert that summarizes notes on one document.\",\n",
     "        messages=[\n",
@@ -922,7 +922,7 @@
     "        \"\"\"\n",
     "\n",
     "        response = client.messages.create(\n",
-    "            model=\"claude-3-5-sonnet-20241022\",\n",
+    "            model=\"claude-sonnet-4-5\",\n",
     "            max_tokens=500,\n",
     "            temperature=0.2,\n",
     "            messages=[\n",
@@ -944,7 +944,7 @@
     "            prompt=f\"Legal document summary: {summary}\\n\\nLegal query: {query}\\n\\nRate the relevance of this legal document to the query on a scale of 0 to 10. Only output the numeric value:\"\n",
     "\n",
     "            response = client.messages.create(\n",
-    "                model=\"claude-3-haiku-20240307\",\n",
+    "                model=\"claude-haiku-4-5\",\n",
     "                max_tokens=2,\n",
     "                temperature=0,\n",
     "                messages=[\n",
@@ -974,7 +974,7 @@
     "        Relevant clauses or sections (separated by '---'):\"\"\"\n",
     "\n",
     "        response = client.messages.create(\n",
-    "                model=\"claude-3-5-sonnet-20241022\",\n",
+    "                model=\"claude-sonnet-4-5\",\n",
     "                max_tokens=1000,\n",
     "                temperature=0,\n",
     "                messages=[\n",

diff --git a/capabilities/text_to_sql/evaluation/promptfooconfig.yaml b/capabilities/text_to_sql/evaluation/promptfooconfig.yaml
@@ -1,10 +1,10 @@
 providers:
-  - id: anthropic:messages:claude-3-haiku-20240307
+  - id: anthropic:messages:claude-haiku-4-5
     label: "3 Haiku"
     config:
       max_tokens: 4096
       temperature: 0
-  - id: anthropic:messages:claude-3-5-sonnet-20241022
+  - id: anthropic:messages:claude-sonnet-4-5
     label: "3.5 Sonnet"
     config:
       max_tokens: 4096

diff --git a/capabilities/text_to_sql/guide.ipynb b/capabilities/text_to_sql/guide.ipynb
@@ -106,7 +106,7 @@
     "\n",
     "# Initialize the Anthropic client\n",
     "client = Anthropic()\n",
-    "MODEL_NAME = \"claude-3-5-sonnet-20241022\"\n",
+    "MODEL_NAME = \"claude-sonnet-4-5\"\n",
     "\n",
     "# Filepath to the SQLite database\n",
     "DATABASE_PATH = \"data/data.db\""

diff --git a/claude_code_sdk/.env.example → claude_agent_sdk/.env.example b/claude_code_sdk/.env.example → claude_agent_sdk/.env.example
diff --git a/claude_code_sdk/.gitignore → claude_agent_sdk/.gitignore b/claude_code_sdk/.gitignore → claude_agent_sdk/.gitignore
diff --git a/...sdk/00_The_one_liner_research_agent.ipynb → ...sdk/00_The_one_liner_research_agent.ipynb b/...sdk/00_The_one_liner_research_agent.ipynb → ...sdk/00_The_one_liner_research_agent.ipynb
@@ -21,7 +21,7 @@
     "from dotenv import load_dotenv\n",
     "from utils.agent_visualizer import print_activity\n",
     "\n",
-    "from claude_code_sdk import ClaudeCodeOptions, ClaudeSDKClient, query\n",
+    "from claude_agent_sdk import ClaudeAgentOptions, ClaudeSDKClient, query\n",
     "\n",
     "load_dotenv()"
    ]
@@ -67,7 +67,7 @@
     "messages = []\n",
     "async for msg in query(\n",
     "    prompt=\"Research the latest trends in AI agents and give me a brief summary\",\n",
-    "    options=ClaudeCodeOptions(model=\"claude-sonnet-4-20250514\", allowed_tools=[\"WebSearch\"]),\n",
+    "    options=ClaudeAgentOptions(model=\"claude-sonnet-4-5\", allowed_tools=[\"WebSearch\"]),\n",
     "):\n",
     "    print_activity(msg)\n",
     "    messages.append(msg)"
@@ -157,8 +157,8 @@
    "source": [
     "messages = []\n",
     "async with ClaudeSDKClient(\n",
-    "    options=ClaudeCodeOptions(\n",
-    "        model=\"claude-sonnet-4-20250514\",\n",
+    "    options=ClaudeAgentOptions(\n",
+    "        model=\"claude-sonnet-4-5\",\n",
     "        cwd=\"research_agent\",\n",
     "        system_prompt=\"You are a research agent specialized in AI\",\n",
     "        allowed_tools=[\"WebSearch\", \"Read\"],\n",