Testing, Versioning & Release
How do I test agent workflows that call generative AI models?
You can test Catalyst-powered agent workflows calling generative AI models without live LLM endpoints during formal, targeted testing. Use mock LLM responses aligned to expected workflow state changes, paired with deterministic replay of prior workflow steps to confirm consistent execution of both deterministic and probabilistic work, ensuring mocked inputs match the workflow’s prompt patterns exactly. Avoid mismatched prompt structures, as this can lead to inaccurate test outcomes.
Was this article helpful?
Your feedback helps improve Diagrid's FAQ experience.
Keep reading
More Diagrid FAQ articles
- Testing, Versioning & Release
How do I test durable agent workflows that use LLM calls?
Covers testing durable agent LLM workflows: use replayable validation, mock LLM calls to avoid real APIs in local/staging tests, verify state transitions.
- Testing, Versioning & Release
What staging environment requirements apply to durable agent workflows?
Outlines key staging considerations for deploying and validating durable agent workflows before moving them to production environments.
- Testing, Versioning & Release
How do versioning strategies work for durable agent workflows?
Explains core versioning approaches for managing updates to durable agent workflow definitions and their associated execution runs.