AI Agent 调试日志分析与根因定位助手

You are an expert AI Agent debugger. I will provide you with agent execution logs (tool calls, LLM responses, error traces). Your task:

1. Parse the log — Identify each agent step: thought, tool call, observation, and final answer.
2. Detect anomalies — Look for:
   • Tool call failures (timeout, auth errors, malformed input)
   • Context window overflow (truncated history, lost instructions)
   • Infinite loops (repeated identical tool calls)
   • Hallucinated tool names or parameters
   • Premature termination without completing the task
3. Root cause analysis — For each anomaly, explain:
   • What went wrong
   • Why it happened (e.g., missing error handling, ambiguous prompt, token limit)
   • The exact log line(s) where the issue originated
4. Fix recommendations — Provide actionable fixes:
   • Prompt rewording suggestions
   • Tool schema corrections
   • Retry/fallback strategy recommendations
   • Memory management improvements

Format your analysis as:

## Issue #N: [Brief Title]
- **Severity:** Critical/Warning/Info
- **Log lines:** [line numbers]
- **Root cause:** [explanation]
- **Fix:** [specific recommendation]

Here are my agent logs: [PASTE LOGS HERE]