TracePublic

class opik.rest_api.types.trace_public.TracePublic(*, id: str | None = None, project_id: str | None = None, name: str | None = None, start_time: datetime, end_time: datetime | None = None, input: Dict[str, Any | None] | List[Dict[str, Any | None]] | str | None = None, output: Dict[str, Any | None] | List[Dict[str, Any | None]] | str | None = None, metadata: Dict[str, Any | None] | List[Dict[str, Any | None]] | str | None = None, tags: List[str] | None = None, error_info: ErrorInfoPublic | None = None, usage: Dict[str, int] | None = None, created_at: datetime | None = None, last_updated_at: datetime | None = None, created_by: str | None = None, last_updated_by: str | None = None, feedback_scores: List[FeedbackScorePublic] | None = None, span_feedback_scores: List[FeedbackScorePublic] | None = None, comments: List[CommentPublic] | None = None, guardrails_validations: List[GuardrailsValidationPublic] | None = None, total_estimated_cost: float | None = None, span_count: int | None = None, duration: float | None = None, ttft: float | None = None, thread_id: str | None = None, visibility_mode: Literal['default', 'hidden'] | Any | None = None, llm_span_count: int | None = None, has_tool_spans: bool | None = None, providers: List[str] | None = None, experiment: ExperimentItemReferencePublic | None = None, source: Literal['sdk', 'experiment', 'playground', 'optimization', 'evaluator'] | Any | None = None, environment: str | None = None, **extra_data: Any)

Bases: UniversalBaseModel

id: str | None

project_id: str | None

name: str | None

start_time: datetime

end_time: datetime | None

input: Dict[str, Any | None] | List[Dict[str, Any | None]] | str | None

output: Dict[str, Any | None] | List[Dict[str, Any | None]] | str | None

metadata: Dict[str, Any | None] | List[Dict[str, Any | None]] | str | None

tags: List[str] | None

error_info: ErrorInfoPublic | None

usage: Dict[str, int] | None

created_at: datetime | None

last_updated_at: datetime | None

created_by: str | None

last_updated_by: str | None

feedback_scores: List[FeedbackScorePublic] | None

span_feedback_scores: List[FeedbackScorePublic] | None

Aggregated feedback scores from all spans in this trace, averaged by score name

comments: List[CommentPublic] | None

guardrails_validations: List[GuardrailsValidationPublic] | None

total_estimated_cost: float | None

span_count: int | None

duration: float | None

Duration in milliseconds as a decimal number to support sub-millisecond precision

ttft: float | None

Time to first token in milliseconds

thread_id: str | None

visibility_mode: Literal['default', 'hidden'] | Any | None

llm_span_count: int | None

has_tool_spans: bool | None

providers: List[str] | None

List of unique provider names from all spans in this trace, sorted alphabetically

experiment: ExperimentItemReferencePublic | None

source: Literal['sdk', 'experiment', 'playground', 'optimization', 'evaluator'] | Any | None

environment: str | None

model_config: ClassVar[ConfigDict] = {'extra': 'allow', 'frozen': True, 'protected_namespaces': ()}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].