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Time Travel ⏱️

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:

  1. 🤔 Understand Reasoning: Analyze the steps that led to a successful result.
  2. 🐞 Debug Mistakes: Identify where and why errors occurred.
  3. 🔍 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 — either replaying the same state or modifying it to explore alternatives. In all cases, resuming past execution produces a new fork in the history.