Linguly Core is the core of Linguly. To learn more about Linguly Check our documentation or this one pager.
- Linguly core hosts the Agents and serving the interfaces.
- Here we define agents in YAML files and provide the list of available Agents for each interface.
- Interfaces can login and send user specific messages to a selected Agent.
- Linguly Core then proxy the message and return the response from the Agent to the interface.
- Currently connection to the Dbs (DB Proxy) and to the models (Model Proxy) are also handled in Linguly Core.
-
Setup venv
- for Windows:
python -m venv venv .\venv\Scripts\activate
- for macOS/Linux:
python3 -m venv venv source venv/bin/activate -
install dependencies
pip install -r requirements.txt
pip install -r requirements-dev.txt- install pre-commit to always format the files before commit:
pre-commit installAnd to disable it:
pre-commit uninstallTo successfully running the app locally you need to create a .env file in the root folder and provide the following the parameters:
OLLAMA_URL= # your ollama api url e.g. http://localhost:11434
OPENAI_API_KEY= # your openAI API key if available
MONGODB_MAIN_URL= # use your mongodb atlas uri or a local one
JWT_SECRET= # use a long and secure secret in productionollama serve
- run the server
uvicorn src.main:app --reload --port 3001- open the API documentation: http://localhost:3001/docs
In order to reduce cost and complexity while testing, we can disable all connectors and use the echo model instead.
For that just add the following to your .env file.
ECHO_MODEL_ENABLED=true
- to install
pip install black - to run on all files
black .or specify a file or folder instead of.