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OpenAstra β Chat based open-source alternative to Postman
OpenAstra
A chat-based open source development platform for API discovery and testing.

π§ Development Status: OpenAstra is in active development (alpha). While fully functional, you may encounter breaking changes as the platform evolves. We encourage you to try it out and provide feedback!
β¨ Key Features
OpenAstra re-imagines API workflows through the power of natural conversation. Think of it as "Postman meets ChatGPT" - a modern, intuitive approach to API interaction that lets you:
π¬ Chat with API Collections: Import and interact with your APIs through natural conversation
- Support for OpenAPI/Swagger specifications
- Import Postman collections
- Understand and explore API endpoints through chat
π Execute API Endpoints: Test and run API endpoints directly from the chat interface
- Send requests with custom parameters
- View response data in real-time
- Save and reuse API configurations
π€ Flexible LLM Support: Works with any OpenAI-compatible API
- Use OpenAI, Azure OpenAI, or any compatible endpoint
- Support for various models (GPT-4, Claude, Llama)
- Configurable model settings
π Quick Start
Using Docker
[!TIP] Please include the volume mount
-v openastra_data:/app/data
in your Docker command. It's crucial for persisting your database, preventing data loss between container restarts.
Visit http://localhost:3000
to access the web interface.
Visit http://localhost:8000/docs
to access the backend OpenAPI documentation.
docker run -d -p 3000:3000 -p 8000:8000 -v openastra_data:/app/data -e LLM_BASE_URL=https://api.openai.com/v1 -e LLM_API_KEY=your_api_key -e LLM_DEFAULT_MODEL=gpt-4o-mini -e [email protected] -e FIRST_SUPERUSER_PASSWORD=example123 --name openastra --restart always ghcr.io/srikanth235/openastra:main
Environment Variables
# LLM Configuration
LLM_BASE_URL=https://api.openai.com/v1 # OpenAI API compatible custom endpoint
LLM_API_KEY=your_api_key # Your OpenAI compatible API key
LLM_DEFAULT_MODEL=gpt-4o-mini # Default model to use
# Authentication
[email protected] # Default: [email protected]
FIRST_SUPERUSER_PASSWORD=example123 # Default: example123
View all environment variables β
π€ Choosing an LLM
OpenAstra requires an LLM with function/tool calling capabilities. We recommend using any of these tested models:
- GPT-4o-mini
- Claude Haiku
- Llama 3.2 (70B)
Any models at least as powerful as the ones listed above will work well with OpenAstra. Models without tool calling capabilities may have limited functionality.
π Telemetry
OpenAstra includes optional telemetry to help improve the platform. This feature:
- Is enabled by default and requires explicit opt-out
- Only tracks API usage patterns, never sensitive data
- Helps us understand how features are used and identify performance issues
What We Track
When enabled, OpenAstra tracks:
- Chat API interactions (create/update/delete operations)
- Basic request metrics (duration, status codes)
- Anonymous usage patterns
- Performance indicators
[!NOTE] You can view the exact events we track in our analytics implementation.
Configuration
Control telemetry through environment variables:
# Enable/disable telemetry
TELEMETRY_ENABLED=false
Privacy Considerations
- No personal data or chat content is ever collected
- All tracking is anonymous
- Performance metrics are aggregated
- You can self-host without any external analytics
π Contributing
We love contributions! Here's how to get started:
Development Setup
Clone the repository
git clone https://github.com/openastra/openastra.git cd openastra
Install dependencies
# Frontend pnpm install # Backend poetry install
Start development servers
./start.sh
Making Changes
- Fork the repository
- Create your feature branch (
git checkout -b feature/AmazingFeature
) - Commit your changes (
git commit -m 'Add AmazingFeature'
) - Push to the branch (
git push origin feature/AmazingFeature
) - Open a Pull Request
π€ Support & Community
Need help? Join our community:
- Discord Community - Get help and discuss features
- GitHub Issues - Report bugs
π Credits
The initial foundation of this project was built using these excellent open-source boilerplate projects:
- Backend structure based on Full Stack FastAPI Template
- Frontend chat interface based on Vercel AI Chatbot
π License
OpenAstra is MIT licensed.
Made with β€οΈ by humans and AI