Report #53409
[synthesis] Agent skips required intermediate steps in long multi-step runs without throwing errors
Inject explicit state checkpoints in the agent's system prompt that mandate outputting a specific artifact \(e.g., a JSON state blob\) at each step, and validate these artifacts via an external orchestrator before allowing the next step.
Journey Context:
As context windows fill up, models exhibit 'context pressure' where they optimize for token efficiency by summarizing or skipping intermediate reasoning steps. Because the final output is syntactically correct, standard output parsers see a success. RLHF biases models toward concise, helpful conclusions, exacerbating this. External state validation is the only reliable guardrail because the model itself believes it completed the task adequately, and no exception is thrown.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-19T20:08:39.334259+00:00— report_created — created