fix: resolve linting errors in llm_as_judge_evaluator

- Fix bare except clause to catch Exception explicitly
- Add type annotation for request_data dict to resolve mypy error
- Apply ruff formatting fixes

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

Author: Chibi Vikram

src/uipath/eval/evaluators/llm_as_judge_evaluator.py

@@ -176,7 +176,7 @@ async def _get_llm_response(self, evaluation_prompt: str) -> LLMResponse:
             )
 
         # Prepare the request
-        request_data = {
+        request_data: dict[str, Any] = {
             "model": model,
             "messages": [
                 {"role": "system", "content": system_prompt},
@@ -217,20 +217,34 @@ async def _get_llm_response(self, evaluation_prompt: str) -> LLMResponse:
             logger.error("❌ LLM REQUEST FAILED")
             logger.error("=" * 80)
             logger.error(f"Model: {model}")
-            logger.error(f"API Endpoint: {'Normalized API (/llm/api/chat/completions)' if not is_openai_model else 'OpenAI Passthrough (/llm/openai/deployments/...)'}")
+            logger.error(
+                f"API Endpoint: {'Normalized API (/llm/api/chat/completions)' if not is_openai_model else 'OpenAI Passthrough (/llm/openai/deployments/...)'}"
+            )
             logger.error(f"Error Type: {type(e).__name__}")
             logger.error(f"Error Message: {str(e)}")
 
             # Try to extract HTTP error details if available
-            if hasattr(e, 'response'):
-                logger.error(f"HTTP Status Code: {e.response.status_code if hasattr(e.response, 'status_code') else 'N/A'}")
+            if hasattr(e, "response"):
+                logger.error(
+                    f"HTTP Status Code: {e.response.status_code if hasattr(e.response, 'status_code') else 'N/A'}"
+                )
                 try:
-                    error_body = e.response.json() if hasattr(e.response, 'json') else str(e.response.content)
-                    logger.error(f"Response Body: {json.dumps(error_body, indent=2) if isinstance(error_body, dict) else error_body}")
-                except:
-                    logger.error(f"Response Body: {str(e.response.content) if hasattr(e.response, 'content') else 'N/A'}")
-
-            logger.error(f"Request Details:\n{json.dumps({k: v for k, v in request_data.items() if k != 'messages'}, indent=2)}")
+                    error_body = (
+                        e.response.json()
+                        if hasattr(e.response, "json")
+                        else str(e.response.content)
+                    )
+                    logger.error(
+                        f"Response Body: {json.dumps(error_body, indent=2) if isinstance(error_body, dict) else error_body}"
+                    )
+                except Exception:
+                    logger.error(
+                        f"Response Body: {str(e.response.content) if hasattr(e.response, 'content') else 'N/A'}"
+                    )
+
+            logger.error(
+                f"Request Details:\n{json.dumps({k: v for k, v in request_data.items() if k != 'messages'}, indent=2)}"
+            )
             logger.error("=" * 80)
 
             raise UiPathEvaluationError(
@@ -284,7 +298,9 @@ async def _get_llm_response(self, evaluation_prompt: str) -> LLMResponse:
                     content_str = content_str[start:end]
 
             parsed_response = json.loads(content_str)
-            logger.info(f"📊 Parsed evaluation score: {parsed_response.get('score', 'N/A')}")
+            logger.info(
+                f"📊 Parsed evaluation score: {parsed_response.get('score', 'N/A')}"
+            )
         except Exception as e:
             # Enhanced JSON parsing error logging
             logger.error("=" * 80)