* migrate to pyright * Refactor type checking to use Pyright, update dependencies, and clean up code. - Replaced MyPy with Pyright in configuration files and CI workflows. - Updated `pyproject.toml` and `uv.lock` to reflect new dependencies and versions. - Adjusted type hints and fixed minor code issues across various modules for better compatibility with Pyright. - Added new packages `backoff` and `posthog` to the project dependencies. * Update CI workflows to install all extra dependencies for type checking and unit tests * Update dependencies in uv.lock to replace MyPy with Pyright and add nodeenv package. Adjust type hinting in config.py for compatibility with Pyright. |
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|---|---|---|
| .. | ||
| graph_service | ||
| .env.example | ||
| Makefile | ||
| pyproject.toml | ||
| README.md | ||
| uv.lock | ||
graph-service
Graph service is a fast api server implementing the graphiti package.
Running Instructions
-
Ensure you have Docker and Docker Compose installed on your system.
-
Add
zepai/graphiti:latestto your service setup -
Make sure to pass the following environment variables to the service
OPENAI_API_KEY=your_openai_api_key NEO4J_USER=your_neo4j_user NEO4J_PASSWORD=your_neo4j_password NEO4J_PORT=your_neo4j_port -
This service depends on having access to a neo4j instance, you may wish to add a neo4j image to your service setup as well. Or you may wish to use neo4j cloud or a desktop version if running this locally.
An example of docker compose setup may look like this:
version: '3.8' services: graph: image: zepai/graphiti:latest ports: - "8000:8000" environment: - OPENAI_API_KEY=${OPENAI_API_KEY} - NEO4J_URI=bolt://neo4j:${NEO4J_PORT} - NEO4J_USER=${NEO4J_USER} - NEO4J_PASSWORD=${NEO4J_PASSWORD} neo4j: image: neo4j:5.22.0 ports: - "7474:7474" # HTTP - "${NEO4J_PORT}:${NEO4J_PORT}" # Bolt volumes: - neo4j_data:/data environment: - NEO4J_AUTH=${NEO4J_USER}/${NEO4J_PASSWORD} volumes: neo4j_data: -
Once you start the service, it will be available at
http://localhost:8000(or the port you have specified in the docker compose file). -
You may access the swagger docs at
http://localhost:8000/docs. You may also access redocs athttp://localhost:8000/redoc. -
You may also access the neo4j browser at
http://localhost:7474(the port depends on the neo4j instance you are using).