skills.rest
HezziCode
HezziCodeCOMMUNITY
Explore all skills by this author →
Website𝕏@huzaifasysGitHub

chatkit-server-streaming

Build streaming chat backends with ChatKit and OpenAI Agents SDK.

1|Updated Dec 9, 2025
Search Tags:#fastapi#real-time#streaming#asynchronous#openai-agents#chat-backend#thread-store
One-click install
npx skills add https://github.com/HezziCode/spec-driven-devlopment-hackathone --skill chatkit-server-streaming
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: chatkit-server-streaming
Source: https://github.com/HezziCode/spec-driven-devlopment-hackathone/tree/main/phase-2-fullstack-todo/.claude/skills/chainkit-server-streaming
Command: npx skills add https://github.com/HezziCode/spec-driven-devlopment-hackathone --skill chatkit-server-streaming

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Builds streaming chat backends that handle chat sessions, thread management, and streaming AI responses for real-time interactions.

Core Features & Use Cases

  • Async streaming chat capable backend for ChatKit-integrated frontends
  • SSE-like streaming of assistant messages and progress events
  • Easy integration with OpenAI Agents SDK and fast API endpoints for extensible task handling

Quick Start

Create a ChatKit streaming server by subclassing ChatKitServer and exposing a FastAPI endpoint that streams responses.

Frequently Asked Questions about chatkit-server-streaming

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a streaming chat backend with FastAPI?▼

You can build a streaming chat backend by subclassing ChatKitServer and exposing a FastAPI endpoint that streams responses. It uses AsyncIterator and StreamingResponse to handle real-time chat sessions and thread management asynchronously.

Does ChatKit work with the OpenAI Agents SDK for real-time conversations?▼

Yes, ChatKit works with the OpenAI Agents SDK to enable real-time conversations. The backend integrates with the SDK to stream assistant messages and progress events asynchronously to a ChatKit-integrated React frontend.

What is the best way to manage chat threads in an asynchronous streaming server?▼

The best way to manage chat threads in an asynchronous streaming server is using a Postgres-backed thread store. This approach provides modular integration and persistent thread management for streaming AI responses.

How do I stream AI responses to a React frontend using FastAPI?▼

You stream AI responses to a React frontend using FastAPI by implementing SSE-like streaming of assistant messages. The server uses AsyncIterator and StreamingResponse to push real-time progress events and messages to ChatKit-integrated frontends.

Can I add custom endpoints to a ChatKit streaming server?▼

Yes, you can add custom endpoints to a ChatKit streaming server. The backend provides expandable FastAPI endpoints for extensible task handling, allowing you to integrate additional logic alongside the OpenAI Agents SDK.

Related Skills

Explore More Software Engineering Skills→
lguibrlguibr

langgraph-persistence

Configures checkpointer backends and thread_id scoping for persistent LangChain graph state.

Community
Advanced
mub7865mub7865
1

openai-chatkit-frontend

Build AI chat frontends with OpenAI ChatKit and Next.js App Router.

Community
Advanced
uneezaismailuneezaismail

openai-chatkit-backend-python

Designs and implements custom ChatKit backends in Python using the OpenAI Agents SDK.

Community
Advanced
tdcaretdcare
1

salvo-realtime

Implement WebSocket and Server-Sent Events in Salvo-based Rust services.

Community
Intermediate