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README.md

Assistant bot with OpenAI's Swarm

This example shows a customer service bot that has two parts: one for interacting with users and another for providing help. It includes tools to assist in these tasks. The run_demo_loop function helps us create an interactive demo session.

Overview

The support bot has two main parts:

  1. User Interface Agent: This part interacts with users at first and directs them to the help center based on what they need.
  2. Help Center Agent: This part offers detailed help and support using various tools and is connected to a LanceDB VectorDB to retrieve documents.

Setup

To start the bot:

set OpenAI key as env variable

export OPENAI_API_KEY="sk-yourapikey"
  1. Install requirements
    pip install -r requirements.txt
    git+ssh://git@github.com/openai/swarm.git
  1. Prepare and Ingest dataset in LanceDB

We'll prepare dataset from OpenAI in JSON format and ingest it in LanceDB table.

    python3 dataset_prep.py
  1. Ready to RUN

Now you are ready to run assistant bot with Swarm

python3 main.py

Note: You can change dataset and ingestion pipeline accordingly for your dataset to build agents around it.