LangGraph Integration Guide

[ManviRankawat]

Is your feature request related to a problem? Please describe.

Tried to integrate JudgeVal's JudgevalCallbackHandler with complex LangGraph workflows because the current documentation only covers basic usage patterns. When building multi-node graphs with conditional edges, async workflows, or multi-agent systems, there are no comprehensive examples or error handling guidance available.

Describe the solution you'd like

A comprehensive LangGraph Integration Cookbook that provides:

1. Progressive Examples from simple to complex:

   • Basic linear workflows (current documentation level)
   • Multi-node workflows with conditional routing
   • Loops and recursive patterns
   • Multi-agent systems with separate handlers
   • Async/await LangGraph integration

2. Error Handling Patterns:

   • Graceful degradation when tracing fails
   • Debugging techniques for callback issues
   • Connection failure recovery
   • Production monitoring best practices

3. Performance Guidelines:

   • When to use deep_tracing=True vs deep_tracing=False
   • Memory management for long-running agents
   • Batch evaluation strategies
   • Resource cleanup patterns

4. Production Ready Examples:

   Example of what's needed:
   try:
   handler = JudgevalCallbackHandler(judgment)
   config = {"callbacks": [handler]}
   except Exception as e:
   logger.warning(f"Tracing disabled due to: {e}")
   config = {} # Continue without tracing

   final_state = graph.invoke(initial_state, config=config)

Describe alternatives you've considered

Trial-and-error development - Current approach, very time-consuming
Minimal integration - Only using basic patterns, missing advanced capabilities
Custom tracing implementation - Reinventing functionality that should be documented
Avoiding complex LangGraph patterns - Limiting agent capabilities due to integration uncertainty

Which component(s) does this affect?

• SDK (open for community contributions)
• Website (internal development only)
• [ X] Documentation (open for community contributions)
• Not sure

Use case and impact

Describe your specific use case and how this feature would benefit you or other users. Include:

• How often would you use this feature?- Every Complex LangGraph integration Project
• How many users might benefit from this?- All developers building multi-step agents with LangGraph (likely 50%+ of advanced users)
• Is this blocking your current implementation?- Not completely blocking, but would accelerate adoption of JudgeVal for complex agent workflows

Proposed API/Interface (if applicable)

docs/integrations/langgraph/

Are you interested in contributing this feature?

The Judgment community is happy to provide guidance and review for contributions via Discord.

• [ X] Yes, I'd like to implement this
• [ X] Yes, I'd like to help with design/planning
• No, but I'd be happy to test it
• No

[linear]

JUD-1465 LangGraph Integration Guide