Hi everyone,
I’d appreciate some guidance on the recommended pattern for implementing the “agents writing code to call tools” approach from Anthropic’s MCP article using create_agent.
My goal is to have the agent generate a script to execute tool calls and process their large outputs locally, rather than sending the full, unfiltered results back to the model’s context.
Specifically, I’m wondering:
- Is the intended pattern to pass a single
PythonREPLTool? - If so, what’s the recommended way to make my own modules (
my_apis) importable within that tool’s environment? - Or is this architecture better suited for a custom LangGraph?
Any advice would be greatly appreciated. Thanks