Use claude 4.5

common/src/buttercup/common/llm.py

@@ -30,9 +30,9 @@ class ButtercupLLM(Enum):
     OPENAI_GPT_4_1_NANO = "openai-gpt-4.1-nano"
     OPENAI_GPT_4_1_MINI = "openai-gpt-4.1-mini"
     OPENAI_GPT_4_1 = "openai-gpt-4.1"
-    CLAUDE_3_5_SONNET = "claude-3.5-sonnet"
     CLAUDE_3_7_SONNET = "claude-3.7-sonnet"
     CLAUDE_4_SONNET = "claude-4-sonnet"
+    CLAUDE_4_5_SONNET = "claude-4.5-sonnet"
     GEMINI_PRO = "gemini-pro"
     GEMINI_2_5_FLASH = "gemini-2.5-flash"
     GEMINI_2_5_FLASH_EXP = "gemini-2.5-flash-exp"

deployment/k8s/values.yaml

@@ -354,13 +354,6 @@ litellm-helm:
           tpm: 150000000
           rpm: 30000
 
-      - model_name: claude-3.5-sonnet
-        litellm_params:
-          model: anthropic/claude-3-5-sonnet-20241022
-          api_key: os.environ/ANTHROPIC_API_KEY
-          tpm: 600000
-          rpm: 6250
-
       - model_name: claude-3.7-sonnet
         litellm_params:
           model: anthropic/claude-3-7-sonnet-20250219
@@ -374,6 +367,12 @@ litellm-helm:
           api_key: os.environ/ANTHROPIC_API_KEY
           tpm: 1775000
 
+      - model_name: claude-4.5-sonnet
+        litellm_params:
+          model: anthropic/claude-sonnet-4-5-20250929
+          api_key: os.environ/ANTHROPIC_API_KEY
+          tpm: 1775000
+
       - model_name: gemini-pro	
         litellm_params:
           model: gemini/gemini-pro

litellm/litellm_config.yaml

@@ -89,13 +89,6 @@ model_list:
       tpm: 150000000
       rpm: 30000
 
-  - model_name: claude-3.5-sonnet
-    litellm_params:
-      model: anthropic/claude-3-5-sonnet-20241022
-      api_key: os.environ/ANTHROPIC_API_KEY
-      tpm: 400000
-      rpm: 4000
-
   - model_name: claude-3.7-sonnet
     litellm_params:
       model: anthropic/claude-3-7-sonnet-20250219
@@ -109,6 +102,12 @@ model_list:
       api_key: os.environ/ANTHROPIC_API_KEY
       tpm: 400000
 
+  - model_name: claude-4.5-sonnet
+    litellm_params:
+      model: anthropic/claude-sonnet-4-5-20250929
+      api_key: os.environ/ANTHROPIC_API_KEY
+      tpm: 400000
+
   - model_name: gemini-pro
     litellm_params:
       model: gemini/gemini-pro

patcher/src/buttercup/patcher/agents/common.py

@@ -435,7 +435,7 @@ def _create_understand_code_snippet_chain() -> Runnable:
         UNDERSTAND_CODE_SNIPPET_PROMPT
         | create_default_llm_with_temperature(
             model_name=ButtercupLLM.OPENAI_GPT_4_1.value,
-            fallback_models=[ButtercupLLM.CLAUDE_4_SONNET, ButtercupLLM.GEMINI_PRO],
+            fallback_models=[ButtercupLLM.CLAUDE_4_5_SONNET, ButtercupLLM.GEMINI_PRO],
         )
         | StrOutputParser()
     )

patcher/src/buttercup/patcher/agents/context_retriever.py

@@ -588,7 +588,7 @@ def _are_test_instructions_valid(instructions: str, output: bytes, error: bytes)
     """Validate a set of test instructions by executing them inside the project environment."""
     llm = create_default_llm(
         model_name=ButtercupLLM.OPENAI_GPT_4_1.value,
-        fallback_models=[ButtercupLLM.CLAUDE_4_SONNET, ButtercupLLM.GEMINI_PRO],
+        fallback_models=[ButtercupLLM.CLAUDE_4_5_SONNET, ButtercupLLM.GEMINI_PRO],
     )
     chain = ARE_VALID_TEST_INSTRUCTIONS_PROMPT | llm | StrOutputParser()
     res = chain.invoke(
@@ -720,7 +720,7 @@ def __post_init__(self) -> None:
         self.llm = create_default_llm(model_name=ButtercupLLM.OPENAI_GPT_4_1.value)
         self.cheap_llm = create_default_llm(model_name=ButtercupLLM.OPENAI_GPT_4_1_MINI.value)
         self.cheap_fallback_llms = [
-            create_default_llm(model_name=ButtercupLLM.CLAUDE_3_7_SONNET.value),
+            create_default_llm(model_name=ButtercupLLM.CLAUDE_4_5_SONNET.value),
             create_default_llm(model_name=ButtercupLLM.GEMINI_PRO.value),
         ]
 

patcher/src/buttercup/patcher/agents/reflection.py

@@ -407,7 +407,7 @@ def __post_init__(self) -> None:
         """Initialize a few fields"""
         default_llm = create_default_llm(model_name=ButtercupLLM.OPENAI_GPT_4_1.value)
         fallback_llms: list[Runnable] = []
-        for fb_model in [ButtercupLLM.CLAUDE_3_7_SONNET, ButtercupLLM.GEMINI_PRO]:
+        for fb_model in [ButtercupLLM.CLAUDE_4_5_SONNET, ButtercupLLM.GEMINI_PRO]:
             fallback_llms.append(create_default_llm(model_name=fb_model.value))
 
         self.llm = default_llm.with_fallbacks(fallback_llms)

patcher/src/buttercup/patcher/agents/rootcause.py

@@ -138,7 +138,7 @@ def __post_init__(self) -> None:
                 model_name=m.value,
                 **kwargs,
             )
-            for m in [ButtercupLLM.CLAUDE_3_7_SONNET, ButtercupLLM.GEMINI_PRO]
+            for m in [ButtercupLLM.CLAUDE_4_5_SONNET, ButtercupLLM.GEMINI_PRO]
         ]
         self.llm = default_llm.with_fallbacks(fallback_llms)
 

patcher/src/buttercup/patcher/agents/swe.py

@@ -352,7 +352,7 @@ def understand_code_snippet(
         )
         fallback_llms: list[Runnable] = []
         for fb_model in [
-            ButtercupLLM.CLAUDE_3_7_SONNET,
+            ButtercupLLM.CLAUDE_4_5_SONNET,
             ButtercupLLM.GEMINI_PRO,
         ]:
             fallback_llms.append(create_default_llm_with_temperature(model_name=fb_model.value, **kwargs))

scripts/common.sh

@@ -534,7 +534,7 @@ configure_local_api_keys() {
     # Anthropic API Key (Optional)
     print_linebreak
     print_status "Anthropic API Key (Optional): Powers AI-driven fuzzing seed generation."
-    print_status "The seed generation component performs best with Anthropic models (Claude 3.5/4 Sonnet)."
+    print_status "The seed generation component performs best with Anthropic models (Claude 4.5/4 Sonnet)."
     print_status "Generate your API key at: https://console.anthropic.com/settings/keys"
     configure_service "ANTHROPIC_API_KEY" "Anthropic API key" "$ANTHROPIC_API_KEY" "<your-anthropic-api-key>" false
 

seed-gen/src/buttercup/seed_gen/task.py

@@ -94,12 +94,11 @@ class Task:
 
     def __post_init__(self) -> None:
         fallbacks = [
-            ButtercupLLM.CLAUDE_3_7_SONNET,
-            ButtercupLLM.CLAUDE_3_5_SONNET,
+            ButtercupLLM.CLAUDE_4_SONNET,
             ButtercupLLM.OPENAI_GPT_4_1,
             ButtercupLLM.GEMINI_PRO,
         ]
-        self.llm = Task.get_llm(ButtercupLLM.CLAUDE_4_SONNET, fallbacks)
+        self.llm = Task.get_llm(ButtercupLLM.CLAUDE_4_5_SONNET, fallbacks)
         self.tools = [
             get_function_definition,
             get_type_definition,