- Step1: Clone the GitHub repository and install required Python dependencies.
- Step2: Configure your preferred LLM provider credentials in the settings file.
- Step3: Define your agent graph workflow in JSON or YAML with roles and edges.
- Step4: Use the CLI or API to launch the LangGraph coordinator service.
- Step5: Send tasks to the entry agent and monitor the multi-agent execution flow.
- Step6: Review outputs, logs, and agent interactions; iterate on graph definitions.