State Stores & Persistence
How do I separate workflow execution state from agent conversation state?
You should clearly separate workflow execution state and agent conversation state using dedicated targeted storage approaches. Assign workflow execution state to Catalyst’s integrated durable execution stores that persist critical step data and progress tracking, and conversation state to dedicated session stores that retain chat history or important user context across individual agent turns. Avoid mixing these storage types, as this can potentially break workflow determinism or complicate session cleanup efforts.
Was this article helpful?
Your feedback helps improve Diagrid's FAQ experience.
Keep reading
More Diagrid FAQ articles
- State Stores & Persistence
What’s the difference between workflow and conversation agent state?
Explain the distinct storage durability and access requirements for two core agent session and workflow state types in production AI deployments
- State Stores & Persistence
Will agent session state survive restarts or deployments?
Break down the key scenarios where agent session state survives restarts deployments and regional outages in production AI agent workloads
- State Stores & Persistence
What’s the difference between a cache and system of record for agent state?
Clarify the key differences between agent state caches and persistent systems of record for critical production AI agent workloads
