sonnet 3.7

README.md

@@ -324,7 +324,7 @@ ra-aid -m "Update all deprecated API calls" --cowboy-mode
 
 ### Model Configuration
 
-RA.Aid supports multiple AI providers and models. The default model is Anthropic's Claude 3 Sonnet (`claude-3-5-sonnet-20241022`).
+RA.Aid supports multiple AI providers and models. The default model is Anthropic's Claude 3 Sonnet (`claude-3-7-sonnet-20250219`).
 
 The programmer tool (aider) automatically selects its model based on your available API keys. It will use Claude models if ANTHROPIC_API_KEY is set, or fall back to OpenAI models if only OPENAI_API_KEY is available.
 
@@ -372,7 +372,7 @@ export GEMINI_API_KEY=your_api_key_here
 
 1. **Using Anthropic (Default)**
    ```bash
-   # Uses default model (claude-3-5-sonnet-20241022)
+   # Uses default model (claude-3-7-sonnet-20250219)
    ra-aid -m "Your task"
 
    # Or explicitly specify:
@@ -438,7 +438,7 @@ Note: For `AIDER_FLAGS`, you can specify flags with or without the leading `--`.
 **Important Notes:**
 - Performance varies between models. The default Claude 3 Sonnet model currently provides the best and most reliable results.
 - Model configuration is done via command line arguments: `--provider` and `--model`
-- The `--model` argument is required for all providers except Anthropic (which defaults to `claude-3-5-sonnet-20241022`)
+- The `--model` argument is required for all providers except Anthropic (which defaults to `claude-3-7-sonnet-20250219`)
 
 More information is available in our [Open Models Setup](https://docs.ra-aid.ai/quickstart/open-models) guide.
 

ra_aid/tools/agent.py

@@ -37,7 +37,7 @@ def request_research(query: str) -> ResearchResult:
     config = _global_memory.get("config", {})
     model = initialize_llm(
         config.get("provider", "anthropic"),
-        config.get("model", "claude-3-5-sonnet-20241022"),
+        config.get("model", "claude-3-7-sonnet-20250219"),
         temperature=config.get("temperature"),
     )
 
@@ -120,7 +120,7 @@ def request_web_research(query: str) -> ResearchResult:
     config = _global_memory.get("config", {})
     model = initialize_llm(
         config.get("provider", "anthropic"),
-        config.get("model", "claude-3-5-sonnet-20241022"),
+        config.get("model", "claude-3-7-sonnet-20250219"),
         temperature=config.get("temperature"),
     )
 
@@ -189,7 +189,7 @@ def request_research_and_implementation(query: str) -> Dict[str, Any]:
     config = _global_memory.get("config", {})
     model = initialize_llm(
         config.get("provider", "anthropic"),
-        config.get("model", "claude-3-5-sonnet-20241022"),
+        config.get("model", "claude-3-7-sonnet-20250219"),
         temperature=config.get("temperature"),
     )
 

tests/ra_aid/test_main.py

@@ -85,7 +85,7 @@ def test_config_settings(mock_dependencies):
             "--provider",
             "anthropic",
             "--model",
-            "claude-3-5-sonnet-20241022",
+            "claude-3-7-sonnet-20250219",
             "--expert-provider",
             "openai",
             "--expert-model",
@@ -100,7 +100,7 @@ def test_config_settings(mock_dependencies):
         assert config["cowboy_mode"] is True
         assert config["research_only"] is True
         assert config["provider"] == "anthropic"
-        assert config["model"] == "claude-3-5-sonnet-20241022"
+        assert config["model"] == "claude-3-7-sonnet-20250219"
         assert config["expert_provider"] == "openai"
         assert config["expert_model"] == "gpt-4"
         assert config["limit_tokens"] is False