# openai-decisions (OpenAI Decisions API)

Classify CI failures, estimate whether infrastructure caused the failure, and score its impact using OpenAI's standalone Decisions API.

## Setup

These examples use `gpt-6-luna`. See [OpenAI's Decisions guide](https://developers.openai.com/api/docs/guides/decisions) for current model availability. Set `OPENAI_API_KEY` in your environment, then run:

```sh
npx promptfoo@latest init --example openai-decisions
cd openai-decisions
npx promptfoo@latest eval --no-cache -o results.json
```

From a Promptfoo source checkout, run from the repository root:

```sh
npm run local -- eval -c examples/openai-decisions/promptfooconfig.yaml --no-cache -o results.json
```

Add `--env-file .env` when your key is in a local `.env` file.

## Inspect the results

The two cases describe a TypeScript compilation error and a CI runner failure. Each asks three independent questions about the same log:

- `category` chooses `compile`, `test`, or `infrastructure`.
- `infrastructure_failure` returns the probability that the runner or its dependencies caused the failure.
- `impact` returns an expected score over three ordered levels, from `0` for routine to `2` for blocked.

The assertions check the expected category, a high or low infrastructure probability, and the score range. Probabilities can vary across runs. A score can fall between levels; it is not a selected integer level.

Inspect `results.results` in `results.json` for `success`, `score`, `error`, and `response.output`. Provider output is a JSON string: use `JSON.parse(output).answers` in assertions. Answers preserve question order and names. A refused question has `type: refusal` and no probability or score, so these assertions fail when their required answers are refused.

## Grade and classify outputs

`promptfooconfig.grading.yaml` uses the `echo` provider to return two fixed support replies. Decisions grades them with `llm-rubric` predicates, an ordered score rubric normalized to 0–1, and a `classifier` assertion.

```sh
npx promptfoo@latest eval -c promptfooconfig.grading.yaml --no-cache -o grading-results.json
```

From a Promptfoo source checkout:

```sh
npm run local -- eval -c examples/openai-decisions/promptfooconfig.grading.yaml --no-cache -o grading-results.json
```

Only `OPENAI_API_KEY` is required. Assertions are graded independently. A refusal fails grading, including negated assertions. Grading reasons explain the score calculation; the API does not generate a rationale. The example thresholds are starting points to tune on your own data.

See the [provider documentation](https://www.promptfoo.dev/docs/providers/openai-decisions/).