AdieLaine/multi-agent-reasoning
The Multi-Agent Reasoning framework creates an interactive chatbot where AI agents collaborate via structured reasoning and Swarm Integration for optimal answers. Simulating a team that discusses, debates, and refines responses, it enables complex problem-solving and precise results. Now with Prompt Caching to reduce latency and costs.
Implements a multi-step reasoning pipeline where agents independently discuss, verify, and critique responses before refinement and blending into a consensus answer. Integrates OpenAI's Swarm framework for dynamic agent handoffs and function delegation, with configurable agents defined via JSON and support for both `o1` and `gpt-4o` models. Leverages prompt caching to minimize token consumption and latency on repeated queries while providing granular token usage tracking.
181 stars. No commits in the last 6 months.
Stars
181
Forks
39
Language
Python
License
MIT
Category
Last pushed
Jan 23, 2025
Commits (30d)
0
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