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LangGraph Agentic Workflows

Role-based multi-agent workflow for enterprise RAG use cases. Agents coordinate triage, research, drafting, critique, clarification, and validation using grounded tools.

Agent Roles

Agent Responsibility
Triage Agent Classifies query type, urgency, and required evidence
Research Agent Retrieves policy and case context from hybrid search
Drafting Agent Produces structured first response with citations
Critic Agent Checks missing citations, ambiguity, and contradiction risk
Clarifier Agent Requests user clarification when evidence is incomplete
Validation Tool Calls backend APIs for policy lookup and data checks

Workflow

stateDiagram-v2
    [*] --> Triage
    Triage --> Research
    Research --> Draft
    Draft --> Critique
    Critique --> Clarify: insufficient evidence
    Critique --> Validate: grounded enough
    Validate --> Final
    Clarify --> Research
    Final --> [*]
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Engineering Focus

  • LangGraph state management
  • Tool schemas and parameter validation prompts
  • Retryable backend tool-calling
  • Policy lookup and data validation
  • Reasoning-path and tool-trace summaries
  • Safe refusal behavior when evidence is missing

Stack

Python · LangGraph · LangChain · Azure OpenAI · FastAPI · Pydantic · OpenTelemetry

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LangGraph multi-agent workflows for triage, research, drafting, critique, clarification, and validation.

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