DSPy Micro Agent
What it is
A minimal agent runtime built on DSPy modules that implements Plan/Act/Finalize loops with OpenAI and Ollama support. It provides a CLI for local execution, a FastAPI server for HTTP requests, and a lightweight evaluation harness.
The problem it solves
Simplifies the implementation of tool-using agents by abstracting away complex orchestration logic into a thin, readable Python loop and standard DSPy signatures.
What you could use it for
- Local LLM experimentation with tool-calling capabilities
- Serving lightweight AI agents via HTTP API
- Evaluating small language model performance on simple tasks
Read the source ↗Back to the library →
Summary written by an AI model from the source; check the source before you rely on it.