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⚠️ This project was discontinued … see → phosphobot ⚠️
The backoffice for your LLM app.
Detect issues and extract insights from your users' text messages.
Gather feedback and measure success. Create the best conversational experience for your users. Analyze logs effortlessly and finally make sense of all your data.
Learn more in the documentation.
https://github.com/phospho-app/phospho/assets/66426745/5422d3b5-4f78-4445-be72-ff51eba26efb
Create a
.env.docker using this guide. Then, run:
docker compose up
Go to
localhost:3000 to see the platform frontend. The backend documentation is available at localhost:8000/v3/docs.
We welcome contributions from the community. Please refer to our contributing guidelines for more information.
This project uses Python3.11+ and NextJS.
To work on it locally,
.env files in ai-hub, extractor, backend, platform.brew install temporalpython -m venv .venv source .venv/bin/activate
# Install dependencies make install # Launch everything make up
Go to
localhost:3000 to see the platform frontend. The backend documentations are available at localhost:8000/api/docs, localhost:8000/v2/docs and localhost:8000/v3/docs.
To stop everything, run:
make stop
This project is licensed under the Apache 2.0 License - see the LICENSE file for details
We are a team of passionate AI builders, feel free to reach out here. With love and baguettes from Paris 🥖💚