Summary Release Safety

The model receives the prompt (and optional system message). The run uses scorer contains_all with the JSON configuration below. Pass/fail and partial credit are determined entirely by that scorer against the model output; no human grading.

Summarize in exactly 3 short bullet points:
To reduce deployment risk, the team introduced canary releases with automatic rollback, required feature flags for high-impact changes, and monitored golden signals for 30 minutes after each rollout. They also blocked releases when error budgets were exhausted.

{
  "expected_contains": [
    "canary",
    "rollback",
    "feature flags"
  ]
}