Conversational AIAI PrototypingLLM Application Framework
178

Chainlit

Build production-ready conversational AI applications rapidly

Open-Source Core With Literal Ai Add-Ons
Free Version
API Available
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Chainlit

Target Audience

  • AI developers building chat applications
  • Product teams prototyping conversational interfaces
  • Enterprise developers requiring secure AI deployments

Hashtags

#OpenSourceAI#AIOps#LLMDevelopment#AIChatApps

Social Media

Overview

Chainlit is an open-source framework that helps developers create conversational AI apps in minutes instead of weeks. It supports multimodal interactions like images and PDF processing while integrating with popular AI tools. The platform simplifies moving from prototype to production with built-in observability and collaboration features.

Key Features

1

Multimodal Support

Process images, PDFs and files alongside text inputs

2

Auth Integration

Connect existing authentication providers like Okta/Azure AD

3

Prompt Playground

Test and optimize LLM prompts with variables/settings

4

LLM Observability

Track prompts, responses and usage metrics in real-time

5

User Analytics

Collect feedback and analyze conversation patterns

Use Cases

🤖

Build enterprise-grade AI chat applications

🛠️

Prototype AI agents with production-ready scaffolding

📄

Enhance chatbots with PDF/image processing

📊

Monitor LLM performance and costs

💬

Collect user feedback for AI improvements

Pros & Cons

Pros

  • Open-source core with active developer community
  • Accelerates deployment from prototype to production
  • Supports multimodal interactions beyond text
  • Enterprise-grade security with self-hosting options

Cons

  • Primarily targets developers/technical users
  • Limited public info about Literal AI pricing

Integrations

OpenAI
Hugging Face
Anthropic
LangChain
Haystack
LlamaIndex

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