fix: avoid sending both temperature and top_p to Anthropic API (#4471)

Co-authored-by: utkarsh240799 <utkarsh240799@users.noreply.github.com>
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

mem0/configs/llms/anthropic.py

@@ -16,7 +16,7 @@ class AnthropicConfig(BaseLlmConfig):
         temperature: float = 0.1,
         api_key: Optional[str] = None,
         max_tokens: int = 2000,
-        top_p: float = 0.1,
+        top_p: Optional[float] = None,
         top_k: int = 1,
         enable_vision: bool = False,
         vision_details: Optional[str] = "auto",
@@ -32,7 +32,7 @@ class AnthropicConfig(BaseLlmConfig):
             temperature: Controls randomness, defaults to 0.1
             api_key: Anthropic API key, defaults to None
             max_tokens: Maximum tokens to generate, defaults to 2000
-            top_p: Nucleus sampling parameter, defaults to 0.1
+            top_p: Nucleus sampling parameter, defaults to None (omitted to avoid conflict with temperature)
             top_k: Top-k sampling parameter, defaults to 1
             enable_vision: Enable vision capabilities, defaults to False
             vision_details: Vision detail level, defaults to "auto"

mem0/llms/anthropic.py

@@ -40,6 +40,31 @@ class AnthropicLLM(LLMBase):
         api_key = self.config.api_key or os.getenv("ANTHROPIC_API_KEY")
         self.client = anthropic.Anthropic(api_key=api_key)
 
+    def _get_common_params(self, **kwargs) -> Dict:
+        """Get common parameters, avoiding sending both temperature and top_p together.
+
+        Anthropic rejects requests that include both temperature and top_p.
+        When both are set, we keep temperature and drop top_p.
+        """
+        params = {}
+
+        if self.config.max_tokens is not None:
+            params["max_tokens"] = self.config.max_tokens
+
+        has_temperature = self.config.temperature is not None
+        has_top_p = self.config.top_p is not None
+
+        if has_temperature and has_top_p:
+            # Anthropic forbids both; prefer temperature
+            params["temperature"] = self.config.temperature
+        elif has_temperature:
+            params["temperature"] = self.config.temperature
+        elif has_top_p:
+            params["top_p"] = self.config.top_p
+
+        params.update(kwargs)
+        return params
+
     def generate_response(
         self,
         messages: List[Dict[str, str]],