Why Scripted Testing Matters
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An important lesson is to test the deterministic engine without depending on live LLM variability.
A scripted model can return fixed extraction results, while scripted connectors return predefined API responses. With a controlled clock and stable workflow content, the same scenario can be replayed repeatedly.
Example scenario:
scenario: unrecognized_transaction
turns:
- user: "I don't recognize a charge."
extracted_intent: report_unrecognized_transaction
- user: "It was $249.99."
extracted_amount: 249.99
expected:
next_step: ask_for_transaction_identificationThe exact test format depends on the engine. The principle is to assert not just the final message, but also:
- state and ledger updates;
- visited nodes and transitions;
- mandatory questions and confirmations;
- connector calls and idempotency behavior;
- audit events;
- termination and failure paths.
Golden scenarios are particularly useful: they preserve known expected behavior and detect unintended changes during refactoring.
Adapted from 19_deterministic_workflow_engine_learnings.md · “10. Why Scripted Testing Matters”. Code examples are study fragments. Difficulty and core labels are editorial estimates; version-specific behavior should be checked against your project.