Implement Tool-Use for Data Integration

Develop custom Python tools that AutoGen agents can use to simulate access to internal logs (e.g., reading from a JSON file representing logs), fetching external news articles (e.g., a mock news API), and analyzing code (e.g., CodeRabbit-inspired static analysis for unusual commits). Ensure these tools are robust and return structured outputs that o4-mini agents can interpret. Describe how you will integrate these tools into your AutoGen agents. Consider how FLAML could optimize agent workflows that depend on tool outputs. ```python
# Example tool function
def get_access_logs(user_id: str, date_range: tuple) -> str: # Simulate fetching logs return f"Simulated logs for {user_id} on {date_range}" # How to register a tool with an agent in AutoGen
# agent_instance.register_for_llm(name="get_access_logs", description="Get access logs for a user.")(get_access_logs)
# Or for UserProxyAgent
# agent_instance.register_function(function_map={"get_access_logs": get_access_logs})
```