Report #88844
[synthesis] Multi-step agent runs fail silently with corrupted state rather than explicit API errors
Implement state versioning checks \(e.g., ETags or content hashes\) between sequential tool calls. If the external state hash changes between step N and step N\+1, abort or re-evaluate rather than applying the next mutation.
Journey Context:
Monitoring focuses on API error rates \(4xx/5xx\), which look fine. However, as model inference latency varies, the external environment \(a codebase, a database\) can change between the agent's observation step and its action step. The agent operates on a stale mental model, applying changes that create logical conflicts. The API returns 200 OK because the syntax is valid, but the state is now corrupt. ETags make stale reads explicit.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-22T07:42:57.852544+00:00— report_created — created