What is the primary purpose of the chatkit-backend skill?

It provides a standardized pattern for building FastAPI backends that support real-time streaming and conversation history specifically for applications using the OpenAI ChatKit frontend.

Does this skill support tool execution streaming?

Yes, it includes specific event formats for yielding tool_call and tool_result events through the SSE stream so the UI can display agent actions in real-time.

Which database libraries does this skill utilize?

The skill is designed to work with SQLModel and FastAPI's dependency injection system to handle conversation and message persistence.

Is this skill compatible with LLMs other than OpenAI?

While it follows the ChatKit format, it can be integrated with various models (like Gemini or Anthropic) via the OpenAI Agents SDK or LiteLLM wrappers.

ChatKit FastAPI Backend

Name: ChatKit FastAPI Backend
Author: maneeshanif

bymaneeshanif

0•

API開発

Implements high-performance FastAPI backends for OpenAI ChatKit with real-time SSE streaming and agent integration.

This skill provides a production-ready blueprint for building robust FastAPI backends tailored specifically for the OpenAI ChatKit frontend. It streamlines the implementation of Server-Sent Events (SSE) for real-time streaming, automated conversation persistence using SQLModel, and seamless integration with the OpenAI Agents SDK. By providing standardized message formats and streaming protocols, it allows developers to quickly deploy AI-powered backends that handle everything from simple text responses to complex multi-turn tool executions.

主な機能

01Standardized ChatKit-compatible message schemas and error handling

020 GitHub stars

03Real-time SSE streaming for text, thinking, and tool execution events

04Seamless integration with OpenAI Agents SDK and LiteLLM

05Pre-configured FastAPI routers for rapid project bootstrapping

06Persistent conversation and message storage using SQLModel and FastAPI

ユースケース

01Adding streaming capabilities to existing Python APIs for real-time user feedback

02Building a custom AI agent backend that interfaces with the OpenAI ChatKit UI

03Implementing multi-turn conversation history for AI-driven web applications

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add maneeshanif/todo-spec-driven chatkit-backend

For use in Claude.ai and ChatGPT

Download Skill