English Documentation

Welcome to the English documentation for tRPC-Agent-Python.

Getting Started

  • LLM Agent: Build a general-purpose LLM-powered agent.
  • Model Invocation: Configure OpenAI, Anthropic, and LiteLLM models.
  • Tools: Add function tools, file tools, MCP tools, and agent tools.
  • Skills: Package reusable workflows with SKILL.md.
  • Code Executor: Execute code through local or sandboxed runtimes.

Core Capabilities

  • Session: Manage conversation events and state.
  • Memory: Store and retrieve long-term memories.
  • Knowledge: Build RAG workflows with LangChain components.
  • Multi-Agent: Compose agents for complex workflows.
  • Evaluation: Evaluate agent behavior and response quality.

For source code and examples, see the GitHub repository.