Build intelligent agents quickly — inspired by the power of "Agentic workflows" and the Stanford DSPy paper. Seamlessly integrates with multiple LLMs and VectorDBs to build RAG pipelines or collaborative agents that can solve complex problems. Advanced features streaming validation, multi-modal DSPy, etc. We've renamed from "llmclient" to "ax" to highlight our focus on powering agentic workflows. We agree with many experts like "Andrew Ng" that agentic workflows are the key to unlocking the true power of large language models and what can be achieved with in-context learning. Also, we are big fans of the Stanford DSPy paper, and this library is the result of all of this coming together to build a powerful framework for you to build with.

Features

  • Support for various LLMs and Vector DBs
  • Prompts auto-generated from simple signatures
  • Build Agents that can call other agents
  • RAG, smart chunking, embedding, querying
  • Convert docs of any format to text
  • Automatic prompt tuning using optimizers
  • Multi-modal DSPy supported

Project Samples

Project Activity

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License

Apache License V2.0

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

TypeScript

Related Categories

TypeScript Intelligent Agents, TypeScript Agentic AI Tool, TypeScript AI Agent Frameworks, TypeScript AI Agents

Registered

2024-09-02