EvaluatorGenerationJob Class

Return a dict that can be turned into json using json.dump.

as_dict(*, exclude_readonly: bool = False) -> dict[str, Any]

Keyword-Only Parameters

Returns

Remove all items from the dictionary.

clear() -> None

copy() -> Model

Get the value for key if key is in the dictionary, else default. :param str key: The key to look up. :param any default: The value to return if key is not in the dictionary. Defaults to None :returns: The value for key if key is in the dictionary, else default. :rtype: any

get(key: str, default: Any = None) -> Any

Parameters

items() -> ItemsView[str, Any]

Returns

keys() -> KeysView[str]

Returns

Removes specified key and return the corresponding value. :param str key: The key to pop. :param any default: The value to return if key is not in the dictionary :returns: The value corresponding to the key. :rtype: any :raises KeyError: If key is not found and default is not given.

pop(key: str, default: ~typing.Any = <object object>) -> Any

Parameters

Removes and returns some (key, value) pair :returns: The (key, value) pair. :rtype: tuple :raises KeyError: if the dictionary is empty.

popitem() -> tuple[str, Any]

Return the value for key if key is in the dictionary; otherwise set the key to default and return default. :param str key: The key to look up. :param any default: The value to set if key is not in the dictionary :returns: The value for key if key is in the dictionary, else default. :rtype: any

setdefault(key: str, default: ~typing.Any = <object object>) -> Any

Parameters

Update the dictionary from a mapping or an iterable of key-value pairs. :param any args: Either a mapping object or an iterable of key-value pairs.

update(*args: Any, **kwargs: Any) -> None

values() -> ValuesView[Any]

Returns

The timestamp when the job was created, represented in Unix time (seconds since January 1, 1970). Required.

created_at: datetime

Error details — populated only on failure.

error: _models.ApiError | None

Optional human-friendly description for the resulting evaluator. Surfaced as EvaluatorVersion.description on the persisted evaluator. Typically collected from the UI alongside evaluator_display_name. The evaluator_ prefix disambiguates this from any other description fields on related models.

evaluator_description: str | None

Optional human-friendly display name for the resulting evaluator. Surfaced as EvaluatorVersion.display_name on the persisted evaluator. When omitted, the service uses evaluator_name as the display name. The evaluator_ prefix disambiguates this from the immutable evaluator_name identifier.

evaluator_display_name: str | None

The evaluator name (immutable identifier). 1-256 characters; allowed characters are ASCII letters, digits, underscore (_), period (.), tilde (~), and hyphen (-). The prefix builtin. is reserved for system-managed evaluators and is rejected by the service. If an evaluator with this name already exists in the project (and is rubric-subtype), the service creates a new version under the same name and uses the prior version's dimensions as context for incremental improvement (foundation of the post-//build adaptive loop). Old versions remain queryable via get_version(name, version). If the existing evaluator is not a rubric-subtype evaluator (built-in, prompt-based, code-based), the request is rejected with 400 Bad Request. Required.

evaluator_name: str

The timestamp when the job finished, represented in Unix time (seconds since January 1, 1970).

finished_at: datetime | None

Server-assigned unique identifier. Required.

id: str

Non-fatal input-quality advisories produced by the generation pipeline. Read-only; service-generated; populated only on terminal jobs when advisories fired. Omitted when generation was clean. Cleared when a subsequent PATCH to the paired EvaluatorVersion.definition invalidates the advisories.

input_quality_warnings: list['_models.RubricGenerationInputQualityWarning'] | None

The LLM model to use for rubric generation (e.g., 'gpt-4o'). Required — users must provide their own model rather than relying on service-owned capacity. Required.

model: str

Result produced on success.

result: _models.EvaluatorVersion | None

Source materials for generation — agent descriptions, prompts, traces, or datasets. Each entry is an EvaluatorGenerationJobSource variant discriminated by type. Required.

sources: list['_models.EvaluatorGenerationJobSource']

"queued", "in_progress", "succeeded", "failed", and "cancelled".

status: str | _models.JobStatus

Token consumption summary. Populated when the job reaches a terminal state.

usage: _models.EvaluatorGenerationTokenUsage | None