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chatkit-backend

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Deploy a production-ready ChatKit backend.

Software Engineering#fastapi#backend#gemini#deploy#multi-provider#chatkit#liteLLM
AuthorSHAJAR5110
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides a ready-to-use ChatKit backend scaffold enabling teams to deploy a production-ready Python FastAPI server with multi-provider AI support (Gemini, OpenAI, Anthropic) and an integrated LiteLLM workflow, including an ID collision fix.

Core Features & Use Cases

  • FastAPI-based ChatKit backend server with an extensible integration layer for AI providers.
  • Multi-provider AI support (Gemini, OpenAI, Anthropic) with provider-specific configuration.
  • Safe, deterministic streaming and memory of conversation history with ID-collision mitigation for LiteLLM.
  • Clear setup steps and standard environment configuration (.env) for reproducible deployments.

Quick Start

Configure environment variables (GEMINI_API_KEY, OPENAI_API_KEY, ANTHROPIC_API_KEY as needed) and start the server with uvicorn main:app --host 0.0.0.0 --port 8000. Then verify the /health endpoint.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: chatkit-backend
Download link: https://github.com/SHAJAR5110/hackathon-II-phase-4/archive/main.zip#chatkit-backend

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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