The question
How do variables and configuration affect what a simulation actually tests, and what changes when those values differ from the assistant's normal runtime configuration?
What the Review Identified
One finding illustrates the implementation risk examined in this area.
A simulation runs against the variables and configuration supplied for that test. A successful result therefore establishes behavior for those inputs, not automatically for different runtime values, account states, or data sources.
What we investigated
We examined how simulation variables are supplied to the assistant, how those values are substituted during a simulation, and how variable sources differ when values are passed through the model versus supplied server-side.
What we found
A simulation tests the values and configuration supplied for that run.
A passing result therefore establishes behavior for those specific inputs. It does not automatically establish that the assistant will behave the same way when normal runtime values or data sources are different.
Why it matters
A developer can test one account state, customer value, or configuration and see a successful result while other runtime states remain untested.
The distinction becomes more important when variables reach tools, because some values can be generated by the model while others are supplied server-side and are not controlled by the model.
Evidence
A controlled comparison of simulation-supplied values against different runtime values can show whether changing those inputs changes the assistant's behavior, tool arguments, or resulting workflow.
Result
The simulation result is valid for the variables and configuration represented by that test. It does not automatically cover different runtime values or data paths.
Implementation implication
Developers need to verify that simulation inputs represent the runtime states and data sources they intend to validate, particularly where variables affect tool execution or account-specific behavior.
What This Demonstrates
A passing simulation is valid for the variables and configuration represented by that test. It does not automatically cover different values or data paths that may exist at runtime.
In practice: a workflow can pass with test values while a different runtime account state or data source produces behavior that was never exercised.