Analysis

chainlit.io

Chainlit helps build, evaluate, and improve conversational AI applications with observability and analytics.

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Verdict

A quick read before you dig into the full page.

Best if
You are aI Developers and need: Creating a chat application with custom Python logic
Pick this when
Chainlit helps build, evaluate, and improve conversational AI applications with observability and analytics

Overview

Chainlit is a framework and platform designed to help developers and enterprises build, evaluate, and improve conversational AI applications. It provides tools for creating reliable AI systems, offering observability and analytics for LLM apps. Chainlit supports various deployment options, including standalone web apps, embedded copilots, FastAPI servers, and custom React or Slack/Discord/Teams bots. It also offers authentication and customization features, along with integrations with popular frameworks and LLM providers.

chainlit.io screenshot

Best for

Short scenarios where chainlit.io tends to shine.

  • Creating a chat application with custom Python logic

    Best for AI Developers

  • Building a sales report generator using LLMs

    Best for Machine Learning Engineers

Example outputs 1

Sample generations and before/after results for chainlit.io.

Access & connections

Where you can use chainlit.io, and what it plugs into.

Platforms

Web

Integrations

API

Public API available

Auth: OAuth

Browse other tools with an API

Capabilities

What this tool accepts, produces, and is strongest at.

Highlights

  • Building conversational AI applications
  • Evaluating AI systems
  • Observability and analytics for LLM apps
  • Deployment options (web app, copilot, FastAPI, bots)
  • Authentication (simple auth, OAuth)
  • Customization (frontend, chat components)
  • Integrations with frameworks and LLM providers

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FAQ 4

What is Chainlit?
Chainlit is a framework and platform designed to help developers and enterprises build, evaluate, and improve conversational AI applications. It provides tools for creating reliable AI systems, offering observability and analytics for LLM apps. Chainlit supports various deployment options, including standalone web apps, embedded copilots, FastAPI servers, and custom React or Slack/Discord/Teams bots. It also offers authentication and customization features, along with integrations with popular frameworks and LLM providers.
How to use Chainlit?
To use Chainlit, install the library using `pip install chainlit`, then run your application using `chainlit run app.py`. You can then deploy your app as a web app or integrate it into other platforms.
How do I deploy my Chainlit application?
You can deploy your Chainlit app as a standalone web app, an embedded copilot, a FastAPI server, or a custom React or Slack/Discord/Teams bot.
What integrations does Chainlit support?
Chainlit provides integrations with popular frameworks and LLM providers such as OpenAI, Mistral, LangGraph, LlamaIndex, HuggingFace, and more.
chainlit.io