- Step1: Install ChainLite via pip install chainlite
- Step2: Define your agent with chain components in Python
- Step3: Configure LLM provider API keys as environment variables
- Step4: Decorate Python functions with @chainlite.tool and @chainlite.agent
- Step5: Launch the Streamlit UI using chainlite run
- Step6: Test interactions and view real-time conversation flows
- Step7: Deploy to production via Docker or cloud services