For the complete documentation index, see llms.txt. This page is also available as Markdown.

Tooling

Enterprise developers increasingly rely on agent orchestration frameworks to build, deploy, and manage complex LLM-powered applications. These frameworks let you:

  • Chain LLM calls for multi-step reasoning,

  • Connect to private data sources like databases and vector stores,

  • Monitor performance and output quality.

These frameworks are flexible and model-agnostic, allowing connections to any OpenAI-compatible endpoint. This lets developers switch between open-source or commercial LLMs to optimize cost, performance, or capabilities.

You can connect any framework that supports OpenAI-compatible endpoints. Here are quickstart guides to help you get started with LangChain or Langfuse.

Additional guides are available for the OpenAI SDK, Vercel AI SDK, and LlamaIndex.

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