fix: normalize Python-style booleans in LLM JSON responses

Some LLM providers (e.g. Volcengine) return Python-style booleans
(True/False/None) instead of JSON-standard (true/false/null). This
causes json.loads to fail with JSONDecodeError.

Fixes #916

Author: JasonOA888

rdagent/core/utils.py

@@ -56,6 +56,14 @@ def __reduce__(self) -> NoReturn:
 
 
 def parse_json(response: str) -> Any:
+    import re
+
+    # Some LLM providers (e.g. Volcengine) return Python-style booleans
+    # (True/False) instead of JSON-standard (true/false). Normalize them
+    # before parsing to avoid JSONDecodeError.
+    response = re.sub(r"\bTrue\b", "true", response)
+    response = re.sub(r"\bFalse\b", "false", response)
+    response = re.sub(r"\bNone\b", "null", response)
     try:
         return json.loads(response)
     except json.decoder.JSONDecodeError:

rdagent/log/utils/__init__.py

@@ -99,7 +99,12 @@ def extract_evoid(tag: str) -> str | None:
 def extract_json(log_content: str) -> dict | None:
     match = re.search(r"\{.*\}", log_content, re.DOTALL)
     if match:
-        return cast(dict, json.loads(match.group(0)))
+        raw = match.group(0)
+        # Normalize Python-style booleans/null that some LLM providers return
+        raw = re.sub(r"\bTrue\b", "true", raw)
+        raw = re.sub(r"\bFalse\b", "false", raw)
+        raw = re.sub(r"\bNone\b", "null", raw)
+        return cast(dict, json.loads(raw))
     return None