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insightsGPT

Application for scanning RHEL systems (also insights-report/sosreports), diagnosing and triaging issues in simple english. With the help of Red Hat’s knowledge base(KCS) + the power of LLM(Large language model) pulls out the relevant information and provides resolution.

Service can integrate with pre existing tools like insights-client, sos(sosreport) etc.

Architecture Diagram

Installation

We use poetry for dependency management so make sure that poetry binary is installed - doc.

curl -sSL https://install.python-poetry.org | python3 -

Install the needed dependencies.

poetry install

To start cromadb(where all the KCS will be embedded and stored) use the below command.

podman-compose up

Start llm service using below.

make run-llm 

Start insightsGPT-backend service using below.

make run-backend

Usage

There is load_data.py script which loads the KCS article from the docs/kcs directory and store them in the cromaDB.

poetry run python load_data.py

Use below make target to trigger test API.

make api-test

llm service has a /completions endpoint where one can pass the context and ask the related question to llm model.

curl -X POST -H "Content-Type: application/json" http://127.0.0.1:8080/v1/chat/completions -d '{"context": "Chandrayaan-3 launched at 14 July 2023 and landed to south pole of moon at 23 August 2023.", "question":"When did Chandrayaan-3 landed?"}' | jq