Add a runnable Promptfoo eval suite for an AI application before changing production prompts or model behavior.
/goal GOAL: Complete Promptfoo Eval Suite for an AI evaluation project: Add a runnable Promptfoo eval suite for an AI application before changing production prompts or model behavior. CONTEXT: - Before editing, read the nearest AGENTS.md/CLAUDE.md, current issue or PLAN.md, and any failing logs already in the repo. - Inspect eval datasets, rubrics, model outputs, judge code, and regression reports. - Establish a baseline by running or locating evidence for: `target adapter, seed cases, assertions, files, env requirements, local eval command, passing and failing cases`. CONSTRAINTS: - Keep the scope limited to this goal; do not expand into unrelated cleanup. - Do not weaken tests, delete assertions, or mask errors to make verification pass. - Respect the repository's AGENTS.md/CLAUDE.md instructions and existing patterns. - Do not tune prompts against hidden labels or delete failing eval cases to improve the score. - Keep before/after eval evidence and representative failures. DONE WHEN: - The implementation or documentation directly satisfies: Add a runnable Promptfoo eval suite for an AI application before changing production prompts or model behavior. - The verification command or evidence path succeeds: `target adapter, seed cases, assertions, files, env requirements, local eval command, passing and failing cases`. - The final diff is scoped to the relevant files and has no unrelated formatting churn. VERIFY: - Run `target adapter, seed cases, assertions, files, env requirements, local eval command, passing and failing cases` or the closest repo-local equivalent if the exact command is not available. - Capture before/after evidence for the behavior, metric, report, or artifact involved. - If verification cannot run locally, stop and report the missing dependency instead of guessing success. OUTPUT: - Summarize changed files, key decisions, verification output, and remaining risks. - Include any follow-up that is required for production rollout or human review. STOP RULES: - Pause if secrets, production access, stakeholder decisions, or destructive data operations are required. - Pause after three failed fix attempts on the same symptom and challenge the root-cause hypothesis. - Do not mark the goal complete until the current repository state has been audited against DONE WHEN.
原始来源: OpenAI Codex AI app evals use case
证据摘要: Use $promptfoo-evals to add a Promptfoo eval suite; source: OpenAI Codex AI app evals use case; type: official-agent-task; verification: target adapter, seed cases, assertions, files, env requirements, local eval command, passing and failing cases