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CHAINLIT
Build conversational AI apps in minutes
Apache-2.0
ABOUT
Building a production-ready conversational AI app normally requires weeks of UI boilerplate, authentication setup, data persistence, and deployment engineering. Chainlit eliminates all of this with a single Python package — write your agent logic once, add a few decorators, and deploy to any platform with a polished chat interface that includes streaming, multi-step reasoning visualization, and built-in user management out of the box.
INSTALL
pip install chainlitINTEGRATION GUIDE
1. Build customer support chatbots with LLM reasoning and conversation history
2. Create AI-powered copilots and internal assistants with custom Python logic
3. Prototype and deploy LangChain and LlamaIndex applications with visual traceability
4. Develop multi-step AI agent workflows with built-in MCP tool integration
TAGS
pythonchatbotuillmlangchainagentsmcpconversational-ai