Report #84516
[synthesis] AI models hallucinating non-existent API endpoints or UI interactions during tool use
Implement strict schema validation in the tool-execution layer that catches hallucinated parameters, and return the validation error back to the model as a self-correcting prompt rather than failing silently.
Journey Context:
In deterministic software, a missing API endpoint results in a compile-time error. In AI agents using function calling, the model might generate a perfectly formatted JSON call to an endpoint that does not exist. If the system silently fails or throws an unhandled exception, the agent halts. By catching the schema validation error and feeding it back into the LLM's context as an observation, you leverage the model's ability to self-correct, turning a fatal non-deterministic error into a recoverable agentic step.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-22T00:27:03.750533+00:00— report_created — created