Chainlit

Chainlit builds tools for developers and enterprises that want to ship ambitious and reliable AI applications. It provides a framework and tools to design, deploy, and observe conversational AI experiences across different environments. The product targets teams building AI-powered apps who need robust integration, deployment options, and governance around their LLM workflows.

Chainlit enables users to deploy an AI app as a standalone web app or other formats, and to embed copilots or serve a FastAPI backend. It focuses on tooling that supports configurable authentication, customization of frontends, and integration with multiple AI providers. The platform emphasizes a developer-first approach with straightforward commands and deployment paths.

Chainlit offers integration with popular frameworks and LLM providers, allowing people to connect to services like OpenAI, Mistral, LangGraph, LlamaIndex, and HuggingFace. It supports customization of the user interface, chat components, and a range of deployment options for different use cases. Documentation and community resources accompany the tooling to aid setup and use.

Chainlit presents deployment flexibility and platform reach, including web apps, embedded copilots, FastAPI servers, and integrations with messaging platforms like Slack, Discord, and Teams. It also documents installation steps and examples that illustrate how to begin using the tool with common Python commands and a typical app.py workflow.

Use cases

• Build AI applications with reliability and observability for LLM-based workflows.