Skip to content

Latest commit

 

History

History
55 lines (36 loc) · 2.61 KB

README.md

File metadata and controls

55 lines (36 loc) · 2.61 KB
Raw

Okahu demo with OpenAI + Langchain

This repo includes a demo chat application built using OpenAI & Langchain that is pre-instrumented for observation with Okahu AI Observability cloud. You can fork this repo and run the app in Github Codespaces to get started quickly.

Cahtbot demo with Okahu

Try Okahu with this OpenAI app

To try this chatbot

  • Fork this repo and run in the Github Codespace

You'll need

Configure the demo environment

  • Copy the file config/config.ini.template to config/config.ini
  • Edit the config/config.ini file to add the OpenAI API Key and Okahu API key and save

Validate the configuration

  • Validate OpenAI with command ./coffee_app_openai.sh
  • Validate your Okahu API key curl --silent --location 'api.okahu.ai/api/v1/tenant' --header "x-api-key: ${OKAHU_API_KEY}" | jq .
    • Setup OKAHU_API_KEY as an environment variable

Run the interactive chatbot

This application is an interactive chatbot that answers questions about coffee and built with a RAG design pattern. Workflow is a python program using Langchain LLM orchestration framework. The vector dataset is built using multi-qa-mpnet-base-dot-v1 embedding model from Huggingface from a set of Wikipedia articles. The vector data is stored in a local filebased faiss vectorDB. The app uses OpenAI gpt-3.5-turbo model for inference.

To try Okahu from the Github Codespace

  1. Run the pre-instrumented chatbot app with following command from top level directory

    ./coffee_client_openai_with_okahu.sh

  2. View the workflow discovered by Okahu AI Observability Cloud with following commands with your Okahu API key

    • Discover all components curl --silent --location 'https://api.okahu.ai/api/v1/discovery' --header "x-api-key: ${OKAHU_API_KEY}" | jq .

    • Get discovered components curl --silent --location 'https://api.okahu.ai/api/v1/components' --header "x-api-key: ${OKAHU_API_KEY}" | jq .

    Check out Okahu AI Observability Cloud API docs here

Example output

To do

Okahu instrumentation

To run the chatbot app without Okahu instrumentation, use the command ./coffee_client_openai.sh

To understand how Okahu instrumentation works, compare the coffee_rag_openai.py and coffee_rag_openai_with_okahu.py