Introducing Agent evaluation (#3130)

* feat: add exchanged messages in LLMCallCompletedEvent

* feat: add GoalAlignment metric for Agent evaluation

* feat: add SemanticQuality metric for Agent evaluation

* feat: add Tool Metrics for Agent evaluation

* feat: add Reasoning Metrics for Agent evaluation, still in progress

* feat: add AgentEvaluator class

This class will evaluate Agent' results and report to user

* fix: do not evaluate Agent by default

This is a experimental feature we still need refine it further

* test: add Agent eval tests

* fix: render all feedback per iteration

* style: resolve linter issues

* style: fix mypy issues

* fix: allow messages be empty on LLMCallCompletedEvent

src/crewai/evaluation/json_parser.py

@@ -0,0 +1,30 @@
+"""Robust JSON parsing utilities for evaluation responses."""
+
+import json
+import re
+from typing import Any
+
+
+def extract_json_from_llm_response(text: str) -> dict[str, Any]:
+    try:
+        return json.loads(text)
+    except json.JSONDecodeError:
+        pass
+
+    json_patterns = [
+        # Standard markdown code blocks with json
+        r'```json\s*([\s\S]*?)\s*```',
+        # Code blocks without language specifier
+        r'```\s*([\s\S]*?)\s*```',
+        # Inline code with JSON
+        r'`([{\\[].*[}\]])`',
+    ]
+
+    for pattern in json_patterns:
+        matches = re.findall(pattern, text, re.IGNORECASE | re.DOTALL)
+        for match in matches:
+            try:
+                return json.loads(match.strip())
+            except json.JSONDecodeError:
+                continue
+    raise ValueError("No valid JSON found in the response")