fix: drop deprecated sampling params and response_format from Anthropic provider config

evaluator.py

@@ -62,8 +62,13 @@ def evaluate_resume(self, resume_text: str) -> BaseModel:
                 ],
                 "options": {
                     "stream": False,
-                    "temperature": self.model_params.get("temperature", 0.5),
-                    "top_p": self.model_params.get("top_p", 0.9),
+                    # Defaults here silently re-added sampling params that
+                    # providers.json had deliberately left out.
+                    **{
+                        k: self.model_params[k]
+                        for k in ("temperature", "top_p")
+                        if k in self.model_params
+                    },
                 },
             }
 

models.py

@@ -311,10 +311,15 @@ def chat(
 
         options = options or {}
         body: Dict[str, Any] = {"model": model, "messages": messages, "stream": False}
-        if "temperature" in options:
-            body["temperature"] = options["temperature"]
-        if "top_p" in options:
-            body["top_p"] = options["top_p"]
+        sampling = {k: options[k] for k in ("temperature", "top_p") if k in options}
+        # Anthropic's OpenAI-compatible endpoint 400s when temperature and top_p are
+        # both set ("cannot both be specified for this model"). Every other provider
+        # here accepts the pair. Dropping one where the body is actually assembled
+        # means no call site can reintroduce it by defaulting, and top_p is the one
+        # to drop: temperature is what keeps scoring runs reproducible.
+        if len(sampling) == 2 and "api.anthropic.com" in self.base_url:
+            sampling.pop("top_p")
+        body.update(sampling)
 
         # Structured-output translation: evaluator passes format=<json schema>.
         if "format" in kwargs and self.structured_output != "none":

pdf.py

@@ -91,8 +91,13 @@ def _call_llm_for_section(
                 ],
                 "options": {
                     "stream": False,
-                    "temperature": model_params["temperature"],
-                    "top_p": model_params["top_p"],
+                    # Only forward what the model actually configures. Indexing here
+                    # raised KeyError for any model with no sampling params set.
+                    **{
+                        k: model_params[k]
+                        for k in ("temperature", "top_p")
+                        if k in model_params
+                    },
                 },
             }
 

providers.json

@@ -31,11 +31,11 @@
     "anthropic": {
       "base_url": "https://api.anthropic.com/v1",
       "api_key_env": "ANTHROPIC_API_KEY",
-      "structured_output": "json_object",
+      "structured_output": "none",
       "models": {
-        "claude-opus-4-8":  { "temperature": 0.1, "top_p": 0.9 },
-        "claude-sonnet-5":  { "temperature": 0.1, "top_p": 0.9 },
-        "claude-haiku-4-5": { "temperature": 0.1, "top_p": 0.9 }
+        "claude-opus-4-8":  { "temperature": 0.1 },
+        "claude-sonnet-5":  { "temperature": 0.1 },
+        "claude-haiku-4-5": { "temperature": 0.1 }
       }
     }
   }