fix: address test failures and PR feedback

- Fix ModelContext constructor call in consensus tool (remove invalid parameters)
- Refactor temperature pattern matching for better readability per code review
- All tests now passing (799/799 passed)

providers/custom.py

@@ -210,15 +210,16 @@ class CustomProvider(OpenAICompatibleProvider):
 
         # Check for specific model patterns that don't support temperature
         for pattern in _TEMP_UNSUPPORTED_PATTERNS:
-            if (
-                pattern == model_lower
-                or model_lower.startswith(f"{pattern}-")
-                or model_lower.startswith(f"openai/{pattern}")
-                or model_lower.startswith(f"deepseek/{pattern}")
-                or model_lower.endswith(f"-{pattern}")
-                or f"/{pattern}" in model_lower
-                or f"-{pattern}-" in model_lower
-            ):
+            conditions = (
+                pattern == model_lower,
+                model_lower.startswith(f"{pattern}-"),
+                model_lower.startswith(f"openai/{pattern}"),
+                model_lower.startswith(f"deepseek/{pattern}"),
+                model_lower.endswith(f"-{pattern}"),
+                f"/{pattern}" in model_lower,
+                f"-{pattern}-" in model_lower,
+            )
+            if any(conditions):
                 return False, f"detected non-temperature-supporting model pattern '{pattern}'"
 
         # Check for specific keywords that indicate non-supporting variants

tools/consensus.py

@@ -548,11 +548,7 @@ of the evidence, even when it strongly points in one direction.""",
             system_prompt = self._get_stance_enhanced_prompt(stance, stance_prompt)
 
             # Get model context for temperature validation
-            model_context = ModelContext(
-                model_name=model_name,
-                provider=provider.get_provider_type(),
-                provider_instance=provider,
-            )
+            model_context = ModelContext(model_name=model_name)
 
             # Validate temperature against model constraints (respects supports_temperature)
             validated_temperature, temp_warnings = self.validate_and_correct_temperature(