Sean Browning (NCEZID/OD Data Science Team)
I wanted to learn how to create and use language agents to solve complex problems. LangChain wasn't cutting it for me, so I made my own library from first principles to suit a few projects we're working on.
This package contains a few classes that can be used as building blocks for language agents and agentic systems. I plan to expand it with additional functionality as I need it, but keep a minimal footprint (ie. if you're already using openai and pydantic, this should bring no additional dependencies).
All code uses asyncio by design, and though I've tried to generalize as I can, I mostly built around OpenAI and specifically Azure OpenAI since that's what we are allowed to work with internally.
Not currently on pypi, so just use pip to install via GitHub:
pip install git+https://github.com/cdcai/multiagent.git| Example | Link |
|---|---|
| Taking output from one agent as input to another in a callback | agent_with_callback.py |
| Getting structured output from agent / Text Prediction | structured_prediction.py |
| Batch processing large inputs over the same agent in parallel | batch_processing.py |
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