Given the remarkable abilities of recent Large Language Models (LLMs), there is an unprecedented opportunity to build intelligent applications powered by this transformative technology. The top question for any enterprise is: how best to harness the power of LLMs for complex applications? For technical and practical reasons, building LLM-powered applications is not as simple as throwing a task at an LLM system and expecting it to do it. Effectively leveraging LLMs at scale requires a principled programming framework. In particular, there is often a need to maintain multiple LLM conversations, each instructed in different ways, and "responsible" for different aspects of a task.

Features

  • Agents as first-class citizens
  • Documentation available
  • Modularity, Reusabilily, Loose coupling
  • Caching of LLM prompts, responses
  • Observability, Logging, Lineage
  • Grounding and source-citation

Project Samples

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License

MIT License

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Additional Project Details

Programming Language

Python

Related Categories

Python Intelligent Agents, Python Agentic AI Tool, Python AI Agent Frameworks, Python AI Agents, Python Multi-Agent Systems

Registered

2024-09-02