Chainlit llms.txt · AI Docs Browser · mdream [llms.txt Tools](https://mdream.dev/llms-txt/chainlit/llms-txt) # Chainlit llms.txt Browse Chainlit documentation as markdown. Click any page in the sidebar to view it, or copy the full llms.txt for your AI tools. docs.chainlit.io/llms.txt [Raw llms.txt](https://docs.chainlit.io/llms.txt) [Raw llms-full.txt](https://docs.chainlit.io/llms-full.txt) Copy Markdown [](https://docs.chainlit.io/llms.txt) llms.txt Docs Ask User Chat Profiles Chat Settings MCP Multi-Modality Streaming Testing & Debugging Action AskActionMessage AskElementMessage AskFileMessage AskUserMessage author_rename and Message author cache Chat Profiles Chat Settings Custom Data Layer Audio Custom Dataframe File Image PDF viewer Plotly Pyplot TaskList Text Video Checkbox DatePicker MultiSelect RadioGroup Select Slider Switch Tags TextInput Langchain Callback Handler LlamaIndex Callback Handler on_audio_chunk on_audio_end on_chat_end on_chat_resume on_chat_start on_logout on_message make_async Message Step Class Step Decorator Window Messaging Header OAuth Overview Password Command Line Options Features Overview Project UI Environment Variables Action Chat Life Cycle Command Element Message Modes Starters Step User Session Avatars CSS JS Logo and Favicon Overview Theme Translation DynamoDB Data Layer Official Data Layer Overview SQLAlchemy Data Layer Human Feedback Chat History Overview Tags & Metadata Copilot Discord Overview Additional resources Installation and setup Overview Usage Slack Teams Web App Community Cookbook Text to SQL Document QA Security - PII Installation Overview In Pure Python Migrate to Chainlit v1.0.500 Migrate to Chainlit v1.1.0 Migrate to Chainlit v1.1.300 Migrate to Chainlit v1.1.400 Migrate to Chainlit v1.1.404 Migrate to Chainlit v2.0.0 Migrate to Chainlit v2.1.0 Migrate to Chainlit v2.3.0 Migrate to Chainlit v2.9.4 Async / Sync Embedchain FastAPI LangChain/LangGraph LiteLLM Llama Index vLLM, LMStudio, HuggingFace Mistral AI OpenAI Semantic Kernel Optional Chainlit Help ## What is Chainlit's llms.txt? Chainlit publishes an `/llms.txt` file that provides AI systems with a structured index of its documentation. It follows the [llms.txt specification](https://llmstxt.org), organizing links to guides, API references, and tutorials under section headings so that LLMs like ChatGPT, Claude, and Gemini can quickly understand what Chainlit offers and where to find details. Pass Spec 2 Sections 123 Links 8.9 KB Size ~2.3k Tokens Sections: Docs · Optional ## Add Chainlit Docs to Your AI Assistant Select your tool to see how to add Chainlit's llms.txt as a documentation source. Cursor Windsurf Claude Code ChatGPT Zed Copilot 1. 1 Open any chat or composer panel 2. 2 Type @Docs and select "Add new doc" 3. 3 Paste the URL: https://docs.chainlit.io/llms.txt 4. 4 Wait for the green dot (indexing complete) 5. 5 Reference @Docs in chat when asking about Chainlit Cursor crawls the URL and indexes all subpages. Add a trailing slash to index child pages too. ## Spec Compliance 4 notes ## Frequently Asked Questions Where is Chainlit's llms.txt file? Chainlit publishes its llms.txt at https://docs.chainlit.io/llms.txt. This file provides a structured, markdown-formatted index of Chainlit's documentation that AI systems can consume to understand the project's APIs, guides, and references. How do I use Chainlit's llms.txt with AI coding assistants? Copy the llms.txt content and paste it into your AI assistant (Cursor, Windsurf, Claude, ChatGPT) as context. This gives the AI an accurate map of Chainlit's documentation so it can provide better code suggestions and answers about Chainlit. What does Chainlit's llms.txt contain? Chainlit's llms.txt contains 2 sections and 123 documentation links in 8.9 KB (~2.3k tokens). Key sections include Docs, Optional. How many tokens does Chainlit's llms.txt use? The concise llms.txt index is approximately 2.3k tokens (8.9 KB). Most AI assistants can fit this within their context window. For the full expanded documentation, look for an llms-full.txt variant which embeds all content inline. What is Chainlit? Build Conversational AI in minutes ⚡️. Chainlit's llms.txt file helps AI systems understand this by providing a structured overview of its documentation, making it easier for developers to get accurate AI-assisted help when working with Chainlit. Can I generate an llms.txt for my own project? Yes. Use the free llms.txt generator at mdream.dev/tools/llms-txt/generator to crawl your site and produce a spec-compliant llms.txt file. You can also validate existing files with the llms.txt validator. ## Browse More llms.txt Files [OpenClaw 从入门到精通 | OpenClaw Guide 最新Docker容器技术，从真实案例中学习最佳实践！| Learn and understand Docker&Container technologies, with real DevOps practice!](https://mdream.dev/llms-txt/chainlit/llms-txt/docker-practice) [XState State machines and statecharts for the modern web. 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llms.txt Generator

Generate an llms.txt for your own project.](https://mdream.dev/llms-txt/chainlit/tools/llms-txt/generator) [

llms.txt Validator

Validate your llms.txt against the official spec.](https://mdream.dev/llms-txt/chainlit/tools/llms-txt/validator) © 2026 [Harlan Wilton](https://github.com/harlan-zw) · [MIT](https://github.com/harlan-zw/mdream/blob/main/license) [GitHub](https://github.com/harlan-zw/mdream) [Discord](https://discord.com/invite/275MBUBvgP)