openai-responses-server 0.2.7
CLI to manage the OpenAI Responses Server that bridges chat completions to responses API calls
License: MIT
Requires Python: >=3.8.1

# Project description
# Note - library name changed to open-responses-server to avoid future brand issues with openai.

# 🚀 openai-responses-server

A plug-and-play server that speaks OpenAI’s Responses API—no matter which AI backend you’re running.  

Ollama? vLLM? LiteLLM? Even OpenAI itself?  
This server bridges them all to the OpenAI ChatCompletions & Responses API interface.  

In plain words:  
👉 Want to run OpenAI’s Coding Assistant (Codex) or other OpenAI API clients against your own models?  
👉 Want to experiment with self-hosted LLMs but keep OpenAI’s API compatibility?  

This project makes it happen.  
It handles stateful chat, tool calls, and future features like file search & code interpreter—all behind a familiar OpenAI API.

⸻

# ✨ Why use this?

✅ Acts as a drop-in replacement for OpenAI’s Responses API.  
✅ Lets you run any backend AI (Ollama, vLLM, Groq, etc.) with OpenAI-compatible clients.  
✅ Supports OpenAI’s new Coding Assistant / Codex that requires Responses API.  
✅ Built for innovators, researchers, OSS enthusiasts.  
✅ Enterprise-ready: scalable, reliable, and secure for production workloads.

⸻

🔥 What’s in & what’s next?

✅ Done	📝 Coming soon
- ✅ Tool call support	.env file support
- ✅ Manual & pipeline tests
- ✅ Docker image build
- ✅ PyPI release	
- 📝 Persistent state (not just in-memory)
- ✅ CLI validation	
- 📝 hosted tools:
  - 📝 MCPs support
  - 📝 Web search: crawl4ai
  - 📝 File upload + search: graphiti
  - 📝 Code interpreter
  - 📝 Computer use APIs

⸻

# 🏗️ Quick Install

Latest release on PyPI:

```
pip install openai-responses-server
```

Or install from source:

```
uv venv
uv pip install .
uv pip install -e ".[dev]"  # dev dependencies
```

Run the server:

```
# Using CLI tool (after installation)
otc start

# Or directly from source
uv run src/openai_responses_server/cli.py start
```

Docker deployment:

```
# Run with Docker
docker run -p 8080:8080 \
  -e OPENAI_BASE_URL_INTERNAL=http://your-llm-api:8000 \
  -e OPENAI_BASE_URL=http://localhost:8080 \
  -e OPENAI_API_KEY=your-api-key \
  openai-responses-server
```

Works great with docker-compose.yaml for Codex + your own model.

⸻

# 🛠️ Configure

Minimal config to connect your AI backend:

```
OPENAI_BASE_URL_INTERNAL=http://localhost:11434  # Ollama, vLLM, Groq, etc.
OPENAI_BASE_URL=http://localhost:8080            # This server's endpoint
OPENAI_API_KEY=sk-mockapikey123456789            # Mock key tunneled to backend
```

Server binding:
```
API_ADAPTER_HOST=0.0.0.0
API_ADAPTER_PORT=8080
```
Optional logging:
```
LOG_LEVEL=INFO
LOG_FILE_PATH=./log/api_adapter.log
```

Configure with CLI tool:
```
# Interactive configuration setup
otc configure
```

Verify setup:
```
# Check if the server is working
curl http://localhost:8080/v1/models
```

⸻

# 💬 We’d love your support!

If you think this is cool:  
⭐ Star the repo.  
🐛 Open an issue if something’s broken.  
🤝 Suggest a feature or submit a pull request!  

This is early-stage but already usable in real-world demos.  
Let’s build something powerful—together.


## Star History

[![Star History Chart](https://api.star-history.com/svg?repos=TeaBranch/openai-responses-server&type=Date)](https://www.star-history.com/#TeaBranch/openai-responses-server&Date)

# Projects using this middleware
- [Nvidia jetson devices](https://github.com/OriNachum/autonomous-intelligence/tree/main/local-codex) - docker compose with ollama

⸻

# 📚 Citations & inspirations

## Referenced projects
- Crawl4AI – LLM-friendly web crawler
- UncleCode. (2024). Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper [Computer software]. GitHub. https://github.com/unclecode/crawl4ai

## Cite this project

### Code citation
```
@software{openai-responses-server,
  author = {TeaBranch},
  title = {openai-responses-server: Open-source server bridging any AI provider to OpenAI’s Responses API},
  year = {2025},
  publisher = {GitHub},
  journal = {GitHub Repository},
  howpublished = {\url{https://github.com/teabranch/openai-responses-server}},
  commit = {use the commit hash you’re working with}
}
```

### Text citation

TeaBranch. (2025). openai-responses-server: Open-source server the serves any AI provider with OpenAI ChatCompletions as OpenAI's Responses API and hosted tools. [Computer software]. GitHub. https://github.com/teabranch/openai-responses-server