langgraph-testing

Test LangGraph agents and graphs with pytest by creating a fresh graph instance and MemorySaver checkpointer for each test. This framework supports testing individual nodes, partial execution paths, and end-to-end graph invocations.

Isolating state when testing LangGraph state machines is achieved using the Graph Factory pattern and MemorySaver. This approach ensures a fresh graph instance and checkpointer for each test, preventing state leakage between test runs.

Yes, you can mock LLM responses and record HTTP calls for LangGraph integration tests. This capability allows you to verify multi-turn conversational agent steps, tool usage, and state transitions without relying on live external services.

You can test partial execution paths in a LangGraph agent by targeting specific nodes within the graph. This Skill provides a pytest framework that supports multi-level testing, allowing verification of intermediate state transitions before running end-to-end invocations.

Yes, this framework supports testing multi-turn conversational agents built with LangGraph. You can write comprehensive pytest tests verifying each step, from initial user input to final agent response, including tool usage and state transitions.