Time Travel β±οΈΒΆ
When working with non-deterministic systems that make model-based decisions (e.g., agents powered by LLMs), it can be useful to examine their decision-making process in detail:
- π€ Understand Reasoning: Analyze the steps that led to a successful result.
- π Debug Mistakes: Identify where and why errors occurred.
- π Explore Alternatives: Test different paths to uncover better solutions.
LangGraph provides time travel functionality to support these use cases. Specifically, you can resume execution from a prior checkpoint β either replaying the same state or modifying it to explore alternatives. In all cases, resuming past execution produces a new fork in the history.