This is a demo project to demonstrate the usage of the LangChain framework.

Currently, this project integrates with the following Large Language Models (LLMs):

• OpenAI (https://openai.com/index/openai-api/)
• AFS (https://docs.twcc.ai/docs/user-guides/twcc/afs/api-and-parameters/conversation-api)

In the future, we plan to add support for additional APIs such as Ollama and others. Stay tuned for updates!

• Poetry
• Pyenv

more details on how to install and setup pyenv and poetry can be found in the appendix (or enable virtualenvs.prefer-active-python to true)

1. Clone this repository

2. Install dependencies using poetry

   poetry install --no-root

3. Signup for LangSmith

4. Remember the API key from the LangSmith-Personal-API Keys

Checkout Available models:

• OpenAI: https://platform.openai.com/docs/models
• AFS: https://docs.twcc.ai/docs/user-guides/twcc/afs/available-model/

1. Modify the config/config.yaml file to set the model and question fields
2. Create a .env file based on the .env.example file. cp .env.example .env
3. Set all the environment variables in the .env file

Run the following command to start the FastAPI server using Uvicorn:

poetry run uvicorn main:app --reload

or

poetry run fastapi dev main.py

If you encounter the following error:

TypeError: 'FieldInfo' object is not a mapping

You can resolve it by installing a specific version of the Pydantic library. Run the following command in your terminal:

pip install pydantic==1.10.2