> ## Documentation Index > Fetch the complete documentation index at: https://docs.wandb.ai/llms.txt > Use this file to discover all available pages before exploring further. # trace_server_interface > Référence du SDK Python pour weave.trace_server.trace_server_interface export const SourceLink = ({url}) => Source ;
# Aperçu de l’API
*** ## classe `ActionsExecuteBatchReq` **Champs Pydantic :** * `project_id`: `` * `action_ref`: `` * `call_ids`: `list[str]` * `wb_user_id`: `str | None` *** ## classe `ActionsExecuteBatchRes` *** ## classe `AggregationType` Fonctions d’agrégation prises en charge pour les métriques de feedback et de statistiques d’appel. *** ## classe `AliasesListReq` **Champs Pydantic :** * `project_id`: `` * `wb_user_id`: `str | None` *** ## classe `AliasesListRes` **Champs Pydantic :** * `aliases` : `list[str]` *** ## classe `AnnotationQueueAddCallsReq` Requête permettant d’ajouter des appels à une file d’annotation par lot. Étend AnnotationQueueAddCallsBody en ajoutant `queue_id` pour un usage interne de l’API. **Champs Pydantic :** * `project_id`: `` * `call_ids`: `list[str]` * `display_fields`: `list[str]` * `queue_id`: `` * `wb_user_id`: `str | None` *** ## classe `AnnotationQueueAddCallsRes` Réponse à l’ajout d’appels à une file d’annotation. **Champs Pydantic :** * `added_count`: `` * `duplicates`: `` *** ## classe `AnnotationQueueCreateReq` Requête permettant de créer une nouvelle file d’annotation. **Champs Pydantic :** * `project_id`: `` * `name`: `` * `description`: `` * `scorer_refs`: `list[str]` * `wb_user_id`: `str | None` *** ## classe `AnnotationQueueCreateRes` Réponse à la création d'une file d’annotation. **Champs Pydantic :** * `id`: `` *** ## classe `AnnotationQueueDeleteReq` Requête permettant de supprimer (suppression réversible) une file d’annotation. **Champs Pydantic :** * `project_id`: `` * `queue_id`: `` * `wb_user_id`: `str | None` *** ## classe `AnnotationQueueDeleteRes` Réponse à la suppression d’une file d’annotation. **Champs Pydantic :** * `queue`: `` *** ## classe `AnnotationQueueItemSchema` Schéma des réponses des éléments de la file d'annotation. **Champs Pydantic :** * `id`: `` * `project_id`: `` * `queue_id`: `` * `call_id`: `` * `call_started_at`: `` * `call_ended_at`: `datetime.datetime | None` * `call_op_name`: `` * `call_trace_id`: `` * `display_fields`: `list[str]` * `added_by`: `str | None` * `annotation_state`: `typing.Literal['unstarted', 'in_progress', 'completed', 'skipped']` * `annotator_user_id`: `str | None` * `created_at`: `` * `created_by`: `` * `updated_at`: `` * `deleted_at`: `datetime.datetime | None` * `position_in_queue`: `int | None` *** ## classe `AnnotationQueueItemsQueryReq` Requête permettant d'interroger les éléments d'une file d’annotation. Étend AnnotationQueueItemsQueryBody en ajoutant `queue_id` pour un usage interne de l'API. **Champs Pydantic :** * `project_id`: `` * `filter`: `weave.trace_server.common_interface.AnnotationQueueItemsFilter | None` * `sort_by`: `list[weave.trace_server.common_interface.SortBy] | None` * `limit`: `int | None` * `offset`: `int | None` * `include_position`: `` * `queue_id`: `` *** ## classe `AnnotationQueueItemsQueryRes` Réponse à une requête portant sur les éléments de la file d’annotation. **Champs Pydantic :** * `items`: `list[AnnotationQueueItemSchema]` *** ## classe `AnnotationQueueReadReq` Requête permettant de lire une file d’annotation spécifique. **Champs Pydantic :** * `project_id`: `` * `queue_id`: `` *** ## classe `AnnotationQueueReadRes` Réponse à la lecture d’une file d’annotation. **Champs Pydantic :** * `queue`: `` *** ## classe `AnnotationQueueSchema` Schéma des réponses de file d’annotation. **Champs Pydantic :** * `id`: `` * `project_id`: `` * `name`: `` * `description`: `` * `scorer_refs`: `list[str]` * `created_at`: `` * `created_by`: `` * `updated_at`: `` * `deleted_at`: `datetime.datetime | None` *** ## classe `AnnotationQueueStatsSchema` Statistiques d’une file d’annotation. **Champs Pydantic :** * `queue_id`: `` * `total_items`: `` * `completed_items`: `` *** ## classe `AnnotationQueueUpdateReq` Requête permettant de mettre à jour une file d’annotation. Tous les champs sauf `project_id` et `queue_id` sont facultatifs : seuls les champs fournis seront mis à jour. **champs Pydantic :** * `project_id`: `` * `queue_id`: `` * `name`: `str | None` * `description`: `str | None` * `scorer_refs`: `list[str] | None` * `wb_user_id`: `str | None` *** ## classe `AnnotationQueueUpdateRes` Réponse à la mise à jour d’une file d’annotation. **Champs Pydantic :** * `queue`: `` *** ## classe `AnnotationQueuesQueryReq` Requête permettant d'interroger les files d’annotation d'un projet. **Champs Pydantic :** * `project_id`: `` * `name`: `str | None` * `sort_by`: `list[weave.trace_server.common_interface.SortBy] | None` * `limit`: `int | None` * `offset`: `int | None` *** ## classe `AnnotationQueuesQueryRes` Réponse à une requête sur les files d’annotation. **Champs Pydantic :** * `queues`: `list[AnnotationQueueSchema]` *** ## classe `AnnotationQueuesStatsReq` Requête permettant d’obtenir des statistiques sur plusieurs files d’annotation. **Champs Pydantic :** * `project_id`: `` * `queue_ids`: `list[str]` *** ## classe `AnnotationQueuesStatsRes` Réponse contenant des statistiques sur plusieurs files d’annotation. **Champs Pydantic :** * `stats`: `list[AnnotationQueueStatsSchema]` *** ## classe `AnnotatorQueueItemsProgressUpdateReq` Requête permettant de mettre à jour l'état d'annotation d'un élément de la file d'attente pour l'annotateur actuel. Transitions d'état valides : * (absence) -> 'in\_progress' : Marquer l'élément comme étant en cours (uniquement lorsqu'aucun enregistrement n'existe) * (absence) -> 'completed' ou 'skipped' : Terminer ou ignorer directement l'élément * 'in\_progress' ou 'unstarted' -> 'completed' ou 'skipped' : Terminer ou ignorer un élément déjà démarré * same\_state -> same\_state : Aucune opération idempotente (renvoie l'élément existant sans modification) **Champs Pydantic :** * `project_id`: `` * `queue_id`: `` * `item_id`: `` * `annotation_state`: `` * `wb_user_id`: `str | None` *** ## classe `AnnotatorQueueItemsProgressUpdateRes` Réponse à la mise à jour de l’état de l’annotation. **Champs Pydantic :** * `item`: `` *** ## classe `CallBatchEndMode` **champs Pydantic :** * `mode`: `` * `req`: `` *** ## classe `CallBatchStartMode` **champs Pydantic :** * `mode`: `` * `req`: `` *** ## classe `CallCreateBatchReq` **Champs Pydantic :** * `batch` : `list[CallBatchStartMode | CallBatchEndMode]` *** ## classe `CallCreateBatchRes` **champs Pydantic :** * `res`: `list[CallStartRes | CallEndRes]` *** ## classe `CallEndReq` **champs Pydantic :** * `end`: `` *** ## classe `CallEndRes` *** ## classe `CallEndV2Req` Requête pour mettre fin à un appel unique via l’API v2. **Champs Pydantic :** * `end`: `` *** ## classe `CallEndV2Res` Réponse permettant de terminer un appel unique via l’API v2. *** ## classe `CallMetricSpec` Spécification d’une métrique au niveau des appels à agréger (sans regroupement par modèle). **champs Pydantic :** * `metric`: `typing.Literal['latency_ms', 'call_count', 'error_count']` * `aggregations`: `list[AggregationType]` * `percentiles`: `list[float]` *** ## classe `CallReadReq` **Champs Pydantic :** * `project_id`: `` * `id`: `` * `include_costs`: `bool | None` * `include_storage_size`: `bool | None` * `include_total_storage_size`: `bool | None` *** ## classe `CallReadRes` **Champs Pydantic :** * `call` : `CallSchema | None` *** ## classe `CallSchema` **Champs Pydantic :** * `id`: `` * `project_id`: `` * `op_name`: `` * `display_name`: `str | None` * `trace_id`: `` * `parent_id`: `str | None` * `thread_id`: `str | None` * `turn_id`: `str | None` * `started_at`: `` * `attributes`: `dict[str, typing.Any]` * `inputs`: `dict[str, typing.Any]` * `ended_at`: `datetime.datetime | None` * `exception`: `str | None` * `output`: `typing.Any | None` * `summary`: `SummaryMap | None` * `wb_user_id`: `str | None` * `wb_username`: `str | None` * `wb_run_id`: `str | None` * `wb_run_step`: `int | None` * `wb_run_step_end`: `int | None` * `deleted_at`: `datetime.datetime | None` * `expire_at`: `datetime.datetime | None` * `storage_size_bytes`: `int | None` * `total_storage_size_bytes`: `int | None` ### méthode `serialize_typed_dicts` ```python theme={null} serialize_typed_dicts(v: dict[str, Any]) → dict[str, Any] ``` *** ## classe `CallStartReq` **Champs Pydantic :** * `start`: `` *** ## classe `CallStartRes` **champs Pydantic :** * `id`: `` * `trace_id`: `` *** ## classe `CallStartV2Req` Requête pour démarrer un appel unique via l’API v2. **Champs Pydantic :** * `start`: `` *** ## classe `CallStartV2Res` Réponse pour démarrer un appel unique via l’API v2. **champs Pydantic :** * `id`: `` * `trace_id`: `` *** ## classe `CallStatsReq` Requête de statistiques agrégées sur les appels pour une période donnée. **Champs Pydantic :** * `project_id`: `` * `start`: `` * `end`: `datetime.datetime | None` * `granularity`: `int | None` * `usage_metrics`: `list[UsageMetricSpec] | None` * `call_metrics`: `list[CallMetricSpec] | None` * `filter`: `CallsFilter | None` * `timezone`: `` ### méthode `validate_date_range` ```python theme={null} validate_date_range() → CallStatsReq ``` Veillez à ce que les requêtes de statistiques d’appel soient bornées à une plage de dates sûre. *** ## classe `CallStatsRes` Réponse contenant des statistiques d’appels sous forme de séries temporelles. **Champs Pydantic :** * `start`: `` * `end`: `` * `granularity`: `` * `timezone`: `` * `usage_buckets`: `list[dict[str, typing.Any]]` * `call_buckets`: `list[dict[str, typing.Any]]` *** ## classe `CallUpdateReq` **Champs Pydantic :** * `project_id`: `` * `call_id`: `` * `display_name`: `str | None` * `wb_user_id`: `str | None` *** ## classe `CallUpdateRes` *** ## classe `CallsDeleteReq` **Champs Pydantic :** * `project_id`: `` * `call_ids`: `list[str]` * `wb_user_id`: `str | None` *** ## classe `CallsDeleteRes` **champs Pydantic :** * `num_deleted`: `` *** ## classe `CallsFilter` **Champs Pydantic :** * `op_names`: `list[str] | None` * `input_refs`: `list[str] | None` * `output_refs`: `list[str] | None` * `parent_ids`: `list[str] | None` * `trace_ids`: `list[str] | None` * `call_ids`: `list[str] | None` * `thread_ids`: `list[str] | None` * `turn_ids`: `list[str] | None` * `trace_roots_only`: `bool | None` * `wb_user_ids`: `list[str] | None` * `wb_run_ids`: `list[str] | None` *** ## classe `CallsQueryReq` **Champs Pydantic :** * `project_id`: `` * `filter`: `CallsFilter | None` * `limit`: `int | None` * `offset`: `int | None` * `sort_by`: `list[weave.trace_server.common_interface.SortBy] | None` * `query`: `weave.trace_server.interface.query.Query | None` * `include_costs`: `bool | None` * `include_feedback`: `bool | None` * `include_storage_size`: `bool | None` * `include_total_storage_size`: `bool | None` * `include_usernames`: `bool | None` * `columns`: `list[str] | None` * `expand_columns`: `list[str] | None` * `return_expanded_column_values`: `bool | None` *** ## classe `CallsQueryRes` **Champs Pydantic :** * `calls` : `list[CallSchema]` *** ## classe `CallsQueryStatsReq` **Champs Pydantic :** * `project_id`: `` * `filter`: `CallsFilter | None` * `query`: `weave.trace_server.interface.query.Query | None` * `limit`: `int | None` * `include_total_storage_size`: `bool | None` * `expand_columns`: `list[str] | None` *** ## classe `CallsQueryStatsRes` **champs Pydantic :** * `count`: `` * `has_more`: `` * `total_storage_size_bytes`: `int | None` *** ## classe `CallsScoreReq` Requête permettant de mettre en file d’attente des jobs de scoring pour une liste d’appels. Le scoring est effectué de manière asynchrone par le call\_scoring\_worker, qui consomme les messages de Kafka et applique chaque scorer\_ref à chaque call\_id. **Champs Pydantic :** * `project_id`: `` * `call_ids`: `list[str]` * `scorer_refs`: `list[str]` * `wb_user_id`: `str | None` *** ## classe `CallsScoreRes` Réponse vide pour `calls_score`. Définie comme un modèle (plutôt qu’en renvoyant `None`) afin de respecter la convention utilisée dans toute cette interface et de permettre l’ajout ultérieur de champs sans changement incompatible. *** ## classe `CallsUpsertCompleteReq` Requête de mise à jour ou insertion d’un lot d’appels terminés. **Champs Pydantic :** * `batch`: `list[CompletedCallSchemaForInsert]` *** ## classe `CallsUpsertCompleteRes` Réponse pour la mise à jour ou l’insertion d’un lot d’appels terminés. *** ## classe `CallsUsageReq` Requête permettant de calculer l’utilisation agrégée de plusieurs appels racine. Ce point de terminaison renvoie les métriques d’utilisation pour chaque appel racine demandé. Les métriques de chaque racine incluent la somme de sa propre utilisation et de celle de tous ses descendants. Remarque : tous les appels correspondants sont chargés en mémoire pour l’agrégation. Pour les jeux de résultats très volumineux (>10k appels), envisagez de traiter les ID d’appels racine par lots ou d’utiliser des filtres plus restrictifs au niveau de l’application. **Champs Pydantic :** * `project_id`: `` * `call_ids`: `list[str]` * `include_costs`: `` * `limit`: `` *** ## classe `CallsUsageRes` Réponse contenant des métriques d’utilisation agrégées par appel racine. **Champs Pydantic :** * `call_usage`: `dict[str, dict[str, LLMAggregatedUsage]]` * `unfinished_call_ids`: `list[str]` *** ## classe `CompletedCallSchemaForInsert` Schéma permettant d’insérer directement un appel terminé. Représente un appel déjà terminé au moment de l’insertion, avec les informations de début et de fin fournies ensemble. Utilisé par le point de terminaison calls\_complete. **Champs Pydantic :** * `project_id`: `` * `id`: `` * `trace_id`: `` * `op_name`: `` * `started_at`: `` * `ended_at`: `` * `display_name`: `str | None` * `parent_id`: `str | None` * `thread_id`: `str | None` * `turn_id`: `str | None` * `attributes`: `dict[str, typing.Any]` * `inputs`: `dict[str, typing.Any]` * `output`: `typing.Any | None` * `summary`: `` * `otel_dump`: `dict[str, typing.Any] | None` * `exception`: `str | None` * `wb_user_id`: `str | None` * `wb_run_id`: `str | None` * `wb_run_step`: `int | None` * `wb_run_step_end`: `int | None` ### méthode `serialize_typed_dicts` ```python theme={null} serialize_typed_dicts(v: dict[str, Any]) → dict[str, Any] ``` *** ## classe `CompletionsCreateReq` **Champs Pydantic :** * `project_id`: `` * `inputs`: `` * `wb_user_id`: `str | None` * `track_llm_call`: `bool | None` * `trace_id`: `str | None` * `parent_id`: `str | None` *** ## classe `CompletionsCreateRequestInputs` **Champs Pydantic :** * `model`: `` * `messages`: `` * `timeout`: `float | str | None` * `temperature`: `float | None` * `top_p`: `float | None` * `n`: `int | None` * `stop`: `str | list | None` * `max_completion_tokens`: `int | None` * `max_tokens`: `int | None` * `modalities`: `list | None` * `presence_penalty`: `float | None` * `frequency_penalty`: `float | None` * `stream`: `bool | None` * `logit_bias`: `dict | None` * `user`: `str | None` * `response_format`: `dict | type[pydantic.main.BaseModel] | None` * `seed`: `int | None` * `tools`: `list | None` * `tool_choice`: `str | dict | None` * `logprobs`: `bool | None` * `top_logprobs`: `int | None` * `parallel_tool_calls`: `bool | None` * `extra_headers`: `dict | None` * `functions`: `list | None` * `function_call`: `str | None` * `api_version`: `str | None` * `prompt`: `str | None` * `template_vars`: `dict[str, typing.Any] | None` * `vertex_credentials`: `str | None` *** ## classe `CompletionsCreateRes` **Champs Pydantic :** * `response`: `dict[str, typing.Any]` * `weave_call_id`: `str | None` *** ## classe `CostCreateInput` **Champs Pydantic :** * `prompt_token_cost`: `` * `completion_token_cost`: `` * `cache_read_input_token_cost`: `` * `cache_creation_input_token_cost`: `` * `prompt_token_cost_unit`: `str | None` * `completion_token_cost_unit`: `str | None` * `effective_date`: `datetime.datetime | None` * `provider_id`: `str | None` *** ## classe `CostCreateReq` **Champs Pydantic :** * `project_id`: `` * `costs`: `dict[str, CostCreateInput]` * `wb_user_id`: `str | None` *** ## classe `CostCreateRes` **Champs Pydantic :** * `ids`: `list[tuple[str, str]]` *** ## classe `CostPurgeReq` **Champs Pydantic :** * `project_id`: `` * `query`: `` *** ## classe `CostPurgeRes` *** ## classe `CostQueryOutput` **Champs Pydantic :** * `id`: `str | None` * `llm_id`: `str | None` * `prompt_token_cost`: `float | None` * `completion_token_cost`: `float | None` * `prompt_token_cost_unit`: `str | None` * `completion_token_cost_unit`: `str | None` * `effective_date`: `datetime.datetime | None` * `provider_id`: `str | None` *** ## classe `CostQueryReq` **Champs Pydantic :** * `project_id`: `` * `fields`: `list[str] | None` * `query`: `weave.trace_server.interface.query.Query | None` * `sort_by`: `list[weave.trace_server.common_interface.SortBy] | None` * `limit`: `int | None` * `offset`: `int | None` *** ## classe `CostQueryRes` **Champs Pydantic :** * `results`: `list[CostQueryOutput]` *** ## classe `DatasetCreateBody` **Champs Pydantic :** * `name`: `str | None` * `description`: `str | None` * `rows`: `list[dict[str, typing.Any]]` *** ## classe `DatasetCreateReq` **Champs Pydantic :** * `name`: `str | None` * `description`: `str | None` * `rows`: `list[dict[str, typing.Any]]` * `project_id`: `` * `wb_user_id`: `str | None` *** ## classe `DatasetCreateRes` **Champs Pydantic :** * `digest`: `` * `object_id`: `` * `version_index`: `` *** ## classe `DatasetDeleteReq` **champs Pydantic :** * `project_id`: `` * `object_id`: `` * `digests`: `list[str] | None` * `wb_user_id`: `str | None` *** ## classe `DatasetDeleteRes` **Champs Pydantic :** * `num_deleted`: `` *** ## classe `DatasetListReq` **Champs Pydantic :** * `project_id`: `` * `limit`: `int | None` * `offset`: `int | None` * `wb_user_id`: `str | None` *** ## classe `DatasetReadReq` **Champs Pydantic :** * `project_id`: `` * `object_id`: `` * `digest`: `` * `wb_user_id`: `str | None` *** ## classe `DatasetReadRes` **Champs Pydantic :** * `object_id`: `` * `digest`: `` * `version_index`: `` * `created_at`: `` * `name`: `` * `description`: `str | None` * `rows`: `` *** ## classe `EndedCallSchemaForInsert` **champs Pydantic :** * `project_id`: `` * `id`: `` * `ended_at`: `` * `started_at`: `datetime.datetime | None` * `exception`: `str | None` * `output`: `typing.Any | None` * `summary`: `` * `wb_run_step_end`: `int | None` ### méthode `serialize_typed_dicts` ```python theme={null} serialize_typed_dicts(v: dict[str, Any]) → dict[str, Any] ``` *** ## classe `EndedCallSchemaForInsertWithStartedAt` Alias obsolète. `started_at` se trouve désormais sur le parent `EndedCallSchemaForInsert` ; privilégiez celui-ci. Conservé pour que les SDK externes épinglés sur le nom `WithStartedAt` continuent à l'importer. À supprimer une fois que tous les appelants internes à l'arborescence auront migré. **champs Pydantic :** * `project_id`: `` * `id`: `` * `ended_at`: `` * `started_at`: `datetime.datetime | None` * `exception`: `str | None` * `output`: `typing.Any | None` * `summary`: `` * `wb_run_step_end`: `int | None` ### méthode `serialize_typed_dicts` ```python theme={null} serialize_typed_dicts(v: dict[str, Any]) → dict[str, Any] ``` *** ## classe `EvalResultsEvaluationSummary` **champs Pydantic :** * `evaluation_call_id`: `` * `trial_count`: `` * `scorer_stats`: `list[EvalResultsScorerStats]` * `evaluation_ref`: `str | None` * `model_ref`: `str | None` * `display_name`: `str | None` * `trace_id`: `str | None` * `started_at`: `str | None` *** ## classe `EvalResultsFilter` Un filtre limité à une évaluation facultative. **Champs Pydantic :** * `evaluation_call_id`: `str | None` * `query`: `` *** ## classe `EvalResultsQueryBody` **Champs Pydantic :** * `evaluation_call_ids`: `list[str] | None` * `evaluation_run_ids`: `list[str] | None` * `require_intersection`: `` * `include_raw_data_rows`: `` * `resolve_row_refs`: `` * `include_rows`: `` * `include_summary`: `` * `summary_require_intersection`: `bool | None` * `include_predict_and_score_children`: `` * `sort_by`: `list[EvalResultsSortBy] | None` * `filters`: `list[EvalResultsFilter] | None` * `limit`: `int | None` * `offset`: `` ### méthode `validate_identifiers` ```python theme={null} validate_identifiers() → EvalResultsQueryBody ``` Vérifiez qu’au moins un identifiant d’évaluation est fourni. *** ## classe `EvalResultsQueryReq` **Champs Pydantic :** * `evaluation_call_ids`: `list[str] | None` * `evaluation_run_ids`: `list[str] | None` * `require_intersection`: `` * `include_raw_data_rows`: `` * `resolve_row_refs`: `` * `include_rows`: `` * `include_summary`: `` * `summary_require_intersection`: `bool | None` * `include_predict_and_score_children`: `` * `sort_by`: `list[EvalResultsSortBy] | None` * `filters`: `list[EvalResultsFilter] | None` * `limit`: `int | None` * `offset`: `` * `project_id`: `` ### méthode `validate_identifiers` ```python theme={null} validate_identifiers() → EvalResultsQueryBody ``` Vérifiez qu’au moins un identifiant d’évaluation est fourni. *** ## classe `EvalResultsQueryRes` **Champs Pydantic :** * `rows`: `list[EvalResultsRow]` * `total_rows`: `` * `summary`: `ForwardRef('EvalResultsSummaryRes | None')` * `warnings`: `list[str]` *** ## classe `EvalResultsRow` **Champs Pydantic :** * `row_digest`: `` * `raw_data_row`: `typing.Any | None` * `evaluations`: `list[EvalResultsRowEvaluation]` *** ## classe `EvalResultsRowEvaluation` **Champs Pydantic :** * `evaluation_call_id`: `` * `trials`: `list[EvalResultsTrial]` *** ## classe `EvalResultsScorerStats` Statistiques pour une seule dimension de score mise à plat (`scorer_key` ou `scorer_key.path.to.leaf`). **Champs Pydantic :** * `scorer_key`: `` * `path`: `str | None` * `value_type`: `typing.Optional[typing.Literal['binary', 'continuous', 'text']]` * `trial_count`: `` * `numeric_count`: `` * `numeric_mean`: `float | None` * `pass_true_count`: `` * `pass_known_count`: `` * `pass_rate`: `float | None` * `pass_signal_coverage`: `float | None` *** ## classe `EvalResultsSortBy` Spécification de tri pour les résultats d’évaluation, qui étend SortBy **Champs Pydantic :** * `field`: `` * `direction`: `typing.Literal['asc', 'desc']` * `evaluation_call_id`: `str | None` * `mode`: `typing.Literal['value', 'difference']` *** ## classe `EvalResultsSummaryRes` **Champs Pydantic :** * `row_count`: `` * `evaluations`: `list[EvalResultsEvaluationSummary]` *** ## classe `EvalResultsTrial` **Champs Pydantic :** * `predict_and_score_call_id`: `` * `predict_call_id`: `str | None` * `model_output`: `typing.Any | None` * `scores`: `dict[str, typing.Any]` * `model_latency_seconds`: `float | None` * `total_tokens`: `int | None` * `scorer_call_ids`: `dict[str, str]` * `genai_span_ref`: `list[GenAISpanRef] | None` *** ## classe `EvaluateModelArgs` Arguments d'une tâche evaluate-model complète (charge le modèle + exécute les prédictions + calcule les scores). Déplacé depuis workers/evaluate\_model\_worker/evaluate\_model\_worker.py afin que les deux types de tâche (EvaluateModelArgs et RescoringArgs) soient regroupés dans le même module pour l'union discriminée EvalWorkerJob. **champs Pydantic :** * `job_type`: `typing.Literal['evaluate_model']` * `project_id`: `` * `evaluation_ref`: `` * `model_ref`: `` * `wb_user_id`: `` * `evaluation_call_id`: `` *** ## classe `EvaluateModelReq` **Champs Pydantic :** * `project_id`: `` * `evaluation_ref`: `` * `model_ref`: `` * `wb_user_id`: `str | None` *** ## classe `EvaluateModelRes` **Champs Pydantic :** * `call_id`: `` *** ## classe `EvaluationCreateBody` **Champs Pydantic :** * `name`: `` * `description`: `str | None` * `dataset`: `` * `scorers`: `list[str] | None` * `trials`: `` * `evaluation_name`: `str | None` * `eval_attributes`: `dict[str, typing.Any] | None` *** ## classe `EvaluationCreateReq` **champs Pydantic :** * `name`: `` * `description`: `str | None` * `dataset`: `` * `scorers`: `list[str] | None` * `trials`: `` * `evaluation_name`: `str | None` * `eval_attributes`: `dict[str, typing.Any] | None` * `project_id`: `` * `wb_user_id`: `str | None` *** ## classe `EvaluationCreateRes` **Champs Pydantic :** * `digest`: `` * `object_id`: `` * `version_index`: `` * `evaluation_ref`: `` *** ## classe `EvaluationDeleteReq` **champs Pydantic :** * `project_id` : `` * `object_id` : `` * `digests` : `list[str] | None` * `wb_user_id` : `str | None` *** ## classe `EvaluationDeleteRes` **Champs Pydantic :** * `num_deleted`: `` *** ## classe `EvaluationListReq` **Champs Pydantic :** * `project_id`: `` * `limit`: `int | None` * `offset`: `int | None` * `wb_user_id`: `str | None` *** ## classe `EvaluationReadReq` **Champs Pydantic :** * `project_id`: `` * `object_id`: `` * `digest`: `` * `wb_user_id`: `str | None` *** ## classe `EvaluationReadRes` **Champs Pydantic :** * `object_id`: `` * `digest`: `` * `version_index`: `` * `created_at`: `` * `name`: `` * `description`: `str | None` * `dataset`: `` * `scorers`: `list[str]` * `trials`: `` * `evaluation_name`: `str | None` * `evaluate_op`: `str | None` * `predict_and_score_op`: `str | None` * `summarize_op`: `str | None` *** ## classe `EvaluationRunCreateBody` **Champs Pydantic :** * `evaluation`: `` * `model`: `` * `source_evaluation_run_id`: `str | None` *** ## classe `EvaluationRunCreateReq` **champs Pydantic :** * `evaluation`: `` * `model`: `` * `source_evaluation_run_id`: `str | None` * `project_id`: `` * `wb_user_id`: `str | None` *** ## classe `EvaluationRunCreateRes` **champs Pydantic :** * `evaluation_run_id`: `` *** ## classe `EvaluationRunDeleteReq` **Champs Pydantic :** * `project_id`: `` * `evaluation_run_ids`: `list[str]` * `wb_user_id`: `str | None` *** ## classe `EvaluationRunDeleteRes` **Champs Pydantic :** * `num_deleted`: `` *** ## classe `EvaluationRunFilter` **Champs Pydantic :** * `evaluations`: `list[str] | None` * `models`: `list[str] | None` * `evaluation_run_ids`: `list[str] | None` *** ## classe `EvaluationRunFinishBody` Corps de requête pour terminer un run d’évaluation via l’API REST. Ce modèle exclut `project_id` et `evaluation_run_id`, car ils proviennent du chemin de l’URL dans les points de terminaison REST. **Champs Pydantic :** * `summary`: `dict[str, typing.Any] | None` *** ## classe `EvaluationRunFinishReq` **Champs Pydantic :** * `summary`: `dict[str, typing.Any] | None` * `project_id`: `` * `evaluation_run_id`: `` * `wb_user_id`: `str | None` *** ## classe `EvaluationRunFinishRes` **champs Pydantic :** * `success` : `` *** ## classe `EvaluationRunListReq` **Champs Pydantic :** * `project_id`: `` * `filter`: `EvaluationRunFilter | None` * `limit`: `int | None` * `offset`: `int | None` *** ## classe `EvaluationRunReadReq` **Champs Pydantic :** * `project_id`: `` * `evaluation_run_id`: `` *** ## classe `EvaluationRunReadRes` **Champs Pydantic :** * `evaluation_run_id`: `` * `evaluation`: `` * `model`: `` * `status`: `str | None` * `started_at`: `datetime.datetime | None` * `finished_at`: `datetime.datetime | None` * `summary`: `dict[str, typing.Any] | None` * `source_evaluation_run_id`: `str | None` *** ## classe `EvaluationStatusComplete` **Champs Pydantic :** * `code`: `typing.Literal['complete']` * `output`: `dict[str, typing.Any]` *** ## classe `EvaluationStatusFailed` **champs Pydantic :** * `code`: `typing.Literal['failed']` * `error`: `str | None` *** ## classe `EvaluationStatusNotFound` **champs Pydantic :** * `code`: `typing.Literal['not_found']` *** ## classe `EvaluationStatusReq` **Champs Pydantic :** * `project_id`: `` * `call_id`: `` *** ## classe `EvaluationStatusRes` **Champs Pydantic :** * `status` : `EvaluationStatusNotFound | EvaluationStatusRunning | EvaluationStatusFailed | EvaluationStatusComplete` *** ## classe `EvaluationStatusRunning` **champs Pydantic :** * `code`: `typing.Literal['running']` * `completed_rows`: `` * `total_rows`: `` *** ## classe `ExportTracePartialSuccess` **champs Pydantic :** * `rejected_spans`: `` * `error_message`: `` *** ## classe `ExtraKeysTypedDict` *** ## classe `Feedback` **Champs Pydantic :** * `id`: `` * `project_id`: `` * `weave_ref`: `` * `creator`: `str | None` * `feedback_type`: `` * `payload`: `dict[str, typing.Any]` * `annotation_ref`: `str | None` * `runnable_ref`: `str | None` * `call_ref`: `str | None` * `trigger_ref`: `str | None` * `queue_id`: `str | None` * `scorer_tags`: `list[str]` * `scorer_tag_reasons`: `dict[str, str]` * `scorer_tag_confidences`: `dict[str, float]` * `scorer_ratings`: `dict[str, float]` * `scorer_rating_reasons`: `dict[str, str]` * `scorer_rating_confidences`: `dict[str, float]` * `wb_user_id`: `str | None` * `created_at`: `` *** ## classe `FeedbackCreateBatchReq` **champs Pydantic :** * `batch`: `list[FeedbackCreateReq]` *** ## classe `FeedbackCreateBatchRes` **Champs Pydantic :** * `res`: `list[FeedbackCreateRes]` *** ## classe `FeedbackCreateReq` **Champs Pydantic :** * `id`: `str | None` * `project_id`: `` * `weave_ref`: `` * `creator`: `str | None` * `feedback_type`: `` * `payload`: `dict[str, typing.Any]` * `annotation_ref`: `str | None` * `runnable_ref`: `str | None` * `call_ref`: `str | None` * `trigger_ref`: `str | None` * `queue_id`: `str | None` * `scorer_tags`: `list[str]` * `scorer_tag_reasons`: `dict[str, str]` * `scorer_tag_confidences`: `dict[str, float]` * `scorer_ratings`: `dict[str, float]` * `scorer_rating_reasons`: `dict[str, str]` * `scorer_rating_confidences`: `dict[str, float]` * `wb_user_id`: `str | None` *** ## classe `FeedbackCreateRes` **Champs Pydantic :** * `id`: `` * `created_at`: `` * `wb_user_id`: `` * `payload`: `dict[str, typing.Any]` *** ## classe `FeedbackDict` *** ## classe `FeedbackMetricSpec` Spécification d’une métrique de la charge utile de feedback à agréger. **Champs Pydantic :** * `json_path`: `` * `value_type`: `typing.Literal['numeric', 'boolean', 'categorical']` * `aggregations`: `list[AggregationType]` * `percentiles`: `list[float]` *** ## classe `FeedbackPayloadPath` Chemin découvert dans la charge utile de feedback avec un type inféré. **Champs Pydantic :** * `json_path`: `` * `value_type`: `typing.Literal['numeric', 'boolean', 'categorical']` *** ## classe `FeedbackPayloadSchemaReq` Requête pour la découverte du schéma de charge utile de feedback. **Champs Pydantic :** * `project_id`: `` * `start`: `` * `end`: `datetime.datetime | None` * `feedback_type`: `str | None` * `trigger_ref`: `str | None` * `sample_limit`: `` ### méthode `validate_date_range` ```python theme={null} validate_date_range() → _FeedbackFilterBase ``` Assurez-vous que les requêtes de feedback restent limitées à une plage de dates sûre. *** ## classe `FeedbackPayloadSchemaRes` Réponse contenant les chemins et les types détectés de la charge utile de feedback. **Champs Pydantic :** * `paths`: `list[FeedbackPayloadPath]` *** ## classe `FeedbackPurgeReq` **champs Pydantic :** * `project_id`: `` * `query`: `` *** ## classe `FeedbackPurgeRes` *** ## classe `FeedbackQueryReq` **Champs Pydantic :** * `project_id`: `` * `fields`: `list[str] | None` * `query`: `weave.trace_server.interface.query.Query | None` * `sort_by`: `list[weave.trace_server.common_interface.SortBy] | None` * `limit`: `int | None` * `offset`: `int | None` *** ## classe `FeedbackQueryRes` **Champs Pydantic :** * `result`: `list[dict[str, typing.Any]]` *** ## classe `FeedbackReplaceReq` **Champs Pydantic :** * `id`: `str | None` * `project_id`: `` * `weave_ref`: `` * `creator`: `str | None` * `feedback_type`: `<` * `payload`: `dict[str, typing.Any]` * `annotation_ref`: `str | None` * `runnable_ref`: `str | None` * `call_ref`: `str | None` * `trigger_ref`: `str | None` * `queue_id`: `str | None` * `scorer_tags`: `list[str]` * `scorer_tag_reasons`: `dict[str, str]` * `scorer_tag_confidences`: `dict[str, float]` * `scorer_ratings`: `dict[str, float]` * `scorer_rating_reasons`: `dict[str, str]` * `scorer_rating_confidences`: `dict[str, float]` * `wb_user_id`: `str | None` * `feedback_id`: `` *** ## classe `FeedbackReplaceRes` **Champs Pydantic :** * `id`: `` * `created_at`: `` * `wb_user_id`: `` * `payload`: `dict[str, typing.Any]` *** ## classe `FeedbackStatsReq` Requête pour des statistiques agrégées de feedback par bucket temporel. **Champs Pydantic :** * `project_id`: `` * `start`: `` * `end`: `datetime.datetime | None` * `feedback_type`: `str | None` * `trigger_ref`: `str | None` * `granularity`: `int | None` * `timezone`: `` * `metrics`: `list[FeedbackMetricSpec]` ### méthode `validate_date_range` ```python theme={null} validate_date_range() → _FeedbackFilterBase ``` Assurez-vous que les requêtes de feedback restent limitées à une plage de dates sûre. *** ## classe `FeedbackStatsRes` Réponse contenant des statistiques de feedback sous forme de série temporelle. **Champs Pydantic :** * `start`: `` * `end`: `` * `granularity`: `` * `timezone`: `` * `buckets`: `list[dict[str, typing.Any]]` * `window_stats`: `dict[str, dict[str, float | None]] | None` *** ## classe `FileContentReadReq` **Champs Pydantic :** * `project_id`: `` * `digest`: `` *** ## classe `FileContentReadRes` **Champs Pydantic :** * `content`: `` *** ## classe `FileCreateReq` **Champs Pydantic :** * `project_id`: `` * `name`: `` * `content`: `` * `expected_digest`: `str | None` *** ## classe `FileCreateRes` **Champs Pydantic :** * `digest`: `` *** ## classe `FilesStatsReq` **Champs Pydantic :** * `project_id`: `` *** ## classe `FilesStatsRes` **Champs Pydantic :** * `total_size_bytes`: `` *** ## classe `FullTraceServerInterface` Interface complète du serveur de traces prenant en charge les API V1 et Object. Ce protocole représente une implémentation de serveur de traces qui prend en charge l’ensemble des API, à savoir les endpoints V1 hérités et les endpoints Object modernes. Utilisez ce type pour les implémentations qui doivent prendre en charge les deux versions de l’API. *** ### méthode `actions_execute_batch` ```python theme={null} actions_execute_batch(req: ActionsExecuteBatchReq) → ActionsExecuteBatchRes ``` *** ### méthode `agent_agents_query` ```python theme={null} agent_agents_query(req: AgentsQueryReq) → AgentsQueryRes ``` *** ### méthode `agent_conversation_chat` ```python theme={null} agent_conversation_chat( req: AgentConversationChatReq ) → AgentConversationChatRes ``` *** ### méthode `agent_custom_attrs_schema` ```python theme={null} agent_custom_attrs_schema( req: AgentCustomAttrsSchemaReq ) → AgentCustomAttrsSchemaRes ``` *** ### méthode `agent_search` ```python theme={null} agent_search(req: AgentSearchReq) → AgentSearchRes ``` *** ### méthode `agent_spans_query` ```python theme={null} agent_spans_query(req: AgentSpansQueryReq) → AgentSpansQueryRes ``` *** ### méthode `agent_spans_stats` ```python theme={null} agent_spans_stats(req: AgentSpanStatsReq) → AgentSpanStatsRes ``` *** ### méthode `agent_traces_chat` ```python theme={null} agent_traces_chat(req: AgentTraceChatReq) → AgentTraceChatRes ``` *** ### méthode `agent_versions_query` ```python theme={null} agent_versions_query(req: AgentVersionsQueryReq) → AgentVersionsQueryRes ``` *** ### méthode `aliases_list` ```python theme={null} aliases_list(req: AliasesListReq) → AliasesListRes ``` *** ### méthode `annotation_queue_add_calls` ```python theme={null} annotation_queue_add_calls( req: AnnotationQueueAddCallsReq ) → AnnotationQueueAddCallsRes ``` *** ### méthode `annotation_queue_create` ```python theme={null} annotation_queue_create( req: AnnotationQueueCreateReq ) → AnnotationQueueCreateRes ``` *** ### méthode `annotation_queue_delete` ```python theme={null} annotation_queue_delete( req: AnnotationQueueDeleteReq ) → AnnotationQueueDeleteRes ``` *** ### méthode `annotation_queue_items_query` ```python theme={null} annotation_queue_items_query( req: AnnotationQueueItemsQueryReq ) → AnnotationQueueItemsQueryRes ``` *** ### méthode `annotation_queue_read` ```python theme={null} annotation_queue_read(req: AnnotationQueueReadReq) → AnnotationQueueReadRes ``` *** ### méthode `annotation_queue_update` ```python theme={null} annotation_queue_update( req: AnnotationQueueUpdateReq ) → AnnotationQueueUpdateRes ``` *** ### méthode `annotation_queues_query_stream` ```python theme={null} annotation_queues_query_stream( req: AnnotationQueuesQueryReq ) → Iterator[AnnotationQueueSchema] ``` *** ### méthode `annotation_queues_stats` ```python theme={null} annotation_queues_stats( req: AnnotationQueuesStatsReq ) → AnnotationQueuesStatsRes ``` *** ### méthode `annotator_queue_items_progress_update` ```python theme={null} annotator_queue_items_progress_update( req: AnnotatorQueueItemsProgressUpdateReq ) → AnnotatorQueueItemsProgressUpdateRes ``` *** ### méthode `call_end` ```python theme={null} call_end(req: CallEndReq) → CallEndRes ``` *** ### méthode `call_end_v2` ```python theme={null} call_end_v2(req: CallEndV2Req) → CallEndV2Res ``` *** ### méthode `call_read` ```python theme={null} call_read(req: CallReadReq) → CallReadRes ``` *** ### méthode `call_start` ```python theme={null} call_start(req: CallStartReq) → CallStartRes ``` *** ### méthode `call_start_batch` ```python theme={null} call_start_batch(req: CallCreateBatchReq) → CallCreateBatchRes ``` *** ### méthode `call_start_v2` ```python theme={null} call_start_v2(req: CallStartV2Req) → CallStartV2Res ``` *** ### méthode `call_stats` ```python theme={null} call_stats(req: 'CallStatsReq') → CallStatsRes ``` *** ### méthode `call_update` ```python theme={null} call_update(req: CallUpdateReq) → CallUpdateRes ``` *** ### méthode `calls_complete` ```python theme={null} calls_complete(req: CallsUpsertCompleteReq) → CallsUpsertCompleteRes ``` *** ### méthode `calls_delete` ```python theme={null} calls_delete(req: CallsDeleteReq) → CallsDeleteRes ``` *** ### méthode `calls_query` ```python theme={null} calls_query(req: CallsQueryReq) → CallsQueryRes ``` *** ### méthode `calls_query_stats` ```python theme={null} calls_query_stats(req: CallsQueryStatsReq) → CallsQueryStatsRes ``` *** ### méthode `calls_query_stream` ```python theme={null} calls_query_stream(req: CallsQueryReq) → Iterator[CallSchema] ``` *** ### méthode `calls_score` ```python theme={null} calls_score(req: CallsScoreReq) → CallsScoreRes ``` *** ### méthode `calls_usage` ```python theme={null} calls_usage(req: 'CallsUsageReq') → CallsUsageRes ``` *** ### méthode `completions_create` ```python theme={null} completions_create(req: CompletionsCreateReq) → CompletionsCreateRes ``` *** ### méthode `completions_create_stream` ```python theme={null} completions_create_stream(req: CompletionsCreateReq) → Iterator[dict[str, Any]] ``` *** ### méthode `cost_create` ```python theme={null} cost_create(req: CostCreateReq) → CostCreateRes ``` *** ### méthode `cost_purge` ```python theme={null} cost_purge(req: CostPurgeReq) → CostPurgeRes ``` *** ### méthode `cost_query` ```python theme={null} cost_query(req: CostQueryReq) → CostQueryRes ``` *** ### méthode `dataset_create` ```python theme={null} dataset_create(req: DatasetCreateReq) → DatasetCreateRes ``` *** ### méthode `dataset_delete` ```python theme={null} dataset_delete(req: DatasetDeleteReq) → DatasetDeleteRes ``` *** ### méthode `dataset_list` ```python theme={null} dataset_list(req: DatasetListReq) → Iterator[DatasetReadRes] ``` *** ### méthode `dataset_read` ```python theme={null} dataset_read(req: DatasetReadReq) → DatasetReadRes ``` *** ### méthode `eval_results_query` ```python theme={null} eval_results_query(req: EvalResultsQueryReq) → EvalResultsQueryRes ``` *** ### méthode `evaluate_model` ```python theme={null} evaluate_model(req: EvaluateModelReq) → EvaluateModelRes ``` *** ### méthode `evaluation_create` ```python theme={null} evaluation_create(req: EvaluationCreateReq) → EvaluationCreateRes ``` *** ### méthode `evaluation_delete` ```python theme={null} evaluation_delete(req: EvaluationDeleteReq) → EvaluationDeleteRes ``` *** ### méthode `evaluation_list` ```python theme={null} evaluation_list(req: EvaluationListReq) → Iterator[EvaluationReadRes] ``` *** ### méthode `evaluation_read` ```python theme={null} evaluation_read(req: EvaluationReadReq) → EvaluationReadRes ``` *** ### méthode `evaluation_run_create` ```python theme={null} evaluation_run_create(req: EvaluationRunCreateReq) → EvaluationRunCreateRes ``` *** ### méthode `evaluation_run_delete` ```python theme={null} evaluation_run_delete(req: EvaluationRunDeleteReq) → EvaluationRunDeleteRes ``` *** ### méthode `evaluation_run_finish` ```python theme={null} evaluation_run_finish(req: EvaluationRunFinishReq) → EvaluationRunFinishRes ``` *** ### méthode `evaluation_run_list` ```python theme={null} evaluation_run_list(req: EvaluationRunListReq) → Iterator[EvaluationRunReadRes] ``` *** ### méthode `evaluation_run_read` ```python theme={null} evaluation_run_read(req: EvaluationRunReadReq) → EvaluationRunReadRes ``` *** ### méthode `evaluation_status` ```python theme={null} evaluation_status(req: EvaluationStatusReq) → EvaluationStatusRes ``` *** ### méthode `feedback_create` ```python theme={null} feedback_create(req: FeedbackCreateReq) → FeedbackCreateRes ``` *** ### méthode `feedback_create_batch` ```python theme={null} feedback_create_batch(req: FeedbackCreateBatchReq) → FeedbackCreateBatchRes ``` *** ### méthode `feedback_payload_schema` ```python theme={null} feedback_payload_schema( req: FeedbackPayloadSchemaReq ) → FeedbackPayloadSchemaRes ``` *** ### méthode `feedback_purge` ```python theme={null} feedback_purge(req: FeedbackPurgeReq) → FeedbackPurgeRes ``` *** ### méthode `feedback_query` ```python theme={null} feedback_query(req: FeedbackQueryReq) → FeedbackQueryRes ``` *** ### méthode `feedback_replace` ```python theme={null} feedback_replace(req: FeedbackReplaceReq) → FeedbackReplaceRes ``` *** ### méthode `feedback_stats` ```python theme={null} feedback_stats(req: FeedbackStatsReq) → FeedbackStatsRes ``` *** ### méthode `file_content_read` ```python theme={null} file_content_read(req: FileContentReadReq) → FileContentReadRes ``` *** ### méthode `file_create` ```python theme={null} file_create(req: FileCreateReq) → FileCreateRes ``` *** ### méthode `files_stats` ```python theme={null} files_stats(req: FilesStatsReq) → FilesStatsRes ``` *** ### méthode `genai_otel_export` ```python theme={null} genai_otel_export(req: GenAIOTelExportReq) → GenAIOTelExportRes ``` *** ### méthode `image_create` ```python theme={null} image_create(req: ImageGenerationCreateReq) → ImageGenerationCreateRes ``` *** ### méthode `model_create` ```python theme={null} model_create(req: ModelCreateReq) → ModelCreateRes ``` *** ### méthode `model_delete` ```python theme={null} model_delete(req: ModelDeleteReq) → ModelDeleteRes ``` *** ### méthode `model_list` ```python theme={null} model_list(req: ModelListReq) → Iterator[ModelReadRes] ``` *** ### méthode `model_read` ```python theme={null} model_read(req: ModelReadReq) → ModelReadRes ``` *** ### méthode `obj_add_tags` ```python theme={null} obj_add_tags(req: ObjAddTagsReq) → ObjAddTagsRes ``` *** ### méthode `obj_create` ```python theme={null} obj_create(req: ObjCreateReq) → ObjCreateRes ``` *** ### méthode `obj_delete` ```python theme={null} obj_delete(req: ObjDeleteReq) → ObjDeleteRes ``` *** ### méthode `obj_read` ```python theme={null} obj_read(req: ObjReadReq) → ObjReadRes ``` *** ### méthode `obj_remove_aliases` ```python theme={null} obj_remove_aliases(req: ObjRemoveAliasesReq) → ObjRemoveAliasesRes ``` *** ### méthode `obj_remove_tags` ```python theme={null} obj_remove_tags(req: ObjRemoveTagsReq) → ObjRemoveTagsRes ``` *** ### méthode `obj_set_aliases` ```python theme={null} obj_set_aliases(req: ObjSetAliasesReq) → ObjSetAliasesRes ``` *** ### méthode `objs_query` ```python theme={null} objs_query(req: ObjQueryReq) → ObjQueryRes ``` *** ### méthode `op_create` ```python theme={null} op_create(req: OpCreateReq) → OpCreateRes ``` *** ### méthode `op_delete` ```python theme={null} op_delete(req: OpDeleteReq) → OpDeleteRes ``` *** ### méthode `op_list` ```python theme={null} op_list(req: OpListReq) → Iterator[OpReadRes] ``` *** ### méthode `op_read` ```python theme={null} op_read(req: OpReadReq) → OpReadRes ``` *** ### méthode `otel_export` ```python theme={null} otel_export(req: OTelExportReq) → OTelExportRes ``` *** ### méthode `prediction_create` ```python theme={null} prediction_create(req: PredictionCreateReq) → PredictionCreateRes ``` *** ### méthode `prediction_delete` ```python theme={null} prediction_delete(req: PredictionDeleteReq) → PredictionDeleteRes ``` *** ### méthode `prediction_finish` ```python theme={null} prediction_finish(req: PredictionFinishReq) → PredictionFinishRes ``` *** ### méthode `prediction_list` ```python theme={null} prediction_list(req: PredictionListReq) → Iterator[PredictionReadRes] ``` *** ### méthode `prediction_read` ```python theme={null} prediction_read(req: PredictionReadReq) → PredictionReadRes ``` *** ### méthode `project_stats` ```python theme={null} project_stats(req: ProjectStatsReq) → ProjectStatsRes ``` *** ### méthode `project_ttl_settings_read` ```python theme={null} project_ttl_settings_read( req: ProjectTTLSettingsReadReq ) → ProjectTTLSettingsReadRes ``` *** ### méthode `project_ttl_settings_update` ```python theme={null} project_ttl_settings_update( req: ProjectTTLSettingsUpdateReq ) → ProjectTTLSettingsUpdateRes ``` *** ### méthode `refs_read_batch` ```python theme={null} refs_read_batch(req: RefsReadBatchReq) → RefsReadBatchRes ``` *** ### méthode `rescore` ```python theme={null} rescore(req: RescoreReq) → RescoreRes ``` *** ### méthode `score_create` ```python theme={null} score_create(req: ScoreCreateReq) → ScoreCreateRes ``` *** ### méthode `score_delete` ```python theme={null} score_delete(req: ScoreDeleteReq) → ScoreDeleteRes ``` *** ### méthode `score_list` ```python theme={null} score_list(req: ScoreListReq) → Iterator[ScoreReadRes] ``` *** ### méthode `score_read` ```python theme={null} score_read(req: ScoreReadReq) → ScoreReadRes ``` *** ### méthode `scorer_create` ```python theme={null} scorer_create(req: ScorerCreateReq) → ScorerCreateRes ``` *** ### méthode `scorer_delete` ```python theme={null} scorer_delete(req: ScorerDeleteReq) → ScorerDeleteRes ``` *** ### méthode `scorer_list` ```python theme={null} scorer_list(req: ScorerListReq) → Iterator[ScorerReadRes] ``` *** ### méthode `scorer_read` ```python theme={null} scorer_read(req: ScorerReadReq) → ScorerReadRes ``` *** ### méthode `table_create` ```python theme={null} table_create(req: TableCreateReq) → TableCreateRes ``` *** ### méthode `table_create_from_digests` ```python theme={null} table_create_from_digests( req: TableCreateFromDigestsReq ) → TableCreateFromDigestsRes ``` *** ### méthode `table_query` ```python theme={null} table_query(req: TableQueryReq) → TableQueryRes ``` *** ### méthode `table_query_stats` ```python theme={null} table_query_stats(req: TableQueryStatsReq) → TableQueryStatsRes ``` *** ### méthode `table_query_stats_batch` ```python theme={null} table_query_stats_batch(req: TableQueryStatsBatchReq) → TableQueryStatsBatchRes ``` *** ### méthode `table_query_stream` ```python theme={null} table_query_stream(req: TableQueryReq) → Iterator[TableRowSchema] ``` *** ### méthode `table_update` ```python theme={null} table_update(req: TableUpdateReq) → TableUpdateRes ``` *** ### méthode `tags_list` ```python theme={null} tags_list(req: TagsListReq) → TagsListRes ``` *** ### méthode `threads_query_stream` ```python theme={null} threads_query_stream(req: ThreadsQueryReq) → Iterator[ThreadSchema] ``` *** ### méthode `trace_usage` ```python theme={null} trace_usage(req: 'TraceUsageReq') → TraceUsageRes ``` *** ## classe `GenAISpanRef` **Champs Pydantic :** * `trace_id`: `` * `span_id`: `` *** ## classe `ImageGenerationCreateReq` **Champs Pydantic :** * `project_id`: `` * `inputs`: `` * `wb_user_id`: `str | None` * `track_llm_call`: `bool | None` *** ## classe `ImageGenerationCreateRes` **Champs Pydantic :** * `response`: `dict[str, typing.Any]` * `weave_call_id`: `str | None` *** ## classe `ImageGenerationRequestInputs` **Champs Pydantic :** * `model`: `` * `prompt`: `` * `n`: `int | None` *** ## classe `LLMAggregatedUsage` Métriques d’utilisation agrégées pour un LLM donné. **Champs Pydantic :** * `requests`: `` * `prompt_tokens`: `` * `completion_tokens`: `` * `total_tokens`: `` * `cache_read_input_tokens`: `` * `cache_creation_input_tokens`: `` * `prompt_tokens_total_cost`: `float | None` * `completion_tokens_total_cost`: `float | None` * `cache_read_input_tokens_total_cost`: `float | None` * `cache_creation_input_tokens_total_cost`: `float | None` *** ## classe `LLMCostSchema` *** ## classe `LLMUsageSchema` *** ## classe `ModelCreateBody` **Champs Pydantic :** * `name`: `` * `description`: `str | None` * `source_code`: `` * `attributes`: `dict[str, typing.Any] | None` *** ## classe `ModelCreateReq` **Champs Pydantic :** * `name`: `` * `description`: `str | None` * `source_code`: `` * `attributes`: `dict[str, typing.Any] | None` * `project_id`: `` * `wb_user_id`: `str | None` *** ## classe `ModelCreateRes` **Champs Pydantic :** * `digest`: `` * `object_id`: `` * `version_index`: `` * `model_ref`: `` *** ## classe `ModelDeleteReq` **champs Pydantic :** * `project_id`: `` * `object_id`: `` * `digests`: `list[str] | None` * `wb_user_id`: `str | None` *** ## classe `ModelDeleteRes` **Champs Pydantic :** * `num_deleted`: `` *** ## classe `ModelListReq` **Champs Pydantic :** * `project_id`: `` * `limit`: `int | None` * `offset`: `int | None` *** ## classe `ModelReadReq` **champs Pydantic :** * `project_id`: `` * `object_id`: `` * `digest`: `` *** ## classe `ModelReadRes` **champs Pydantic :** * `object_id`: `` * `digest`: `` * `version_index`: `` * `created_at`: `` * `name`: `` * `description`: `str | None` * `source_code`: `` * `attributes`: `dict[str, typing.Any] | None` *** ## classe `OTelExportReq` **Champs Pydantic :** * `processed_spans`: `list[ProcessedResourceSpans]` * `project_id`: `` * `wb_user_id`: `str | None` *** ## classe `OTelExportRes` **Champs Pydantic :** * `partial_success`: `ExportTracePartialSuccess | None` *** ## classe `ObjAddTagsReq` **Champs Pydantic :** * `project_id`: `` * `object_id`: `` * `digest`: `` * `tags`: `list[str]` * `wb_user_id`: `str | None` ### méthode `validate_tags` ```python theme={null} validate_tags() → ObjAddTagsReq ``` *** ## classe `ObjAddTagsRes` *** ## classe `ObjCreateReq` **Champs Pydantic :** * `obj`: `` *** ## classe `ObjCreateRes` **Champs Pydantic :** * `digest`: `` * `object_id`: `str | None` *** ## classe `ObjDeleteReq` **Champs Pydantic :** * `project_id`: `` * `object_id`: `` * `digests`: `list[str] | None` *** ## classe `ObjDeleteRes` **Champs Pydantic :** * `num_deleted`: `` *** ## classe `ObjQueryReq` **Champs Pydantic :** * `project_id`: `` * `filter`: `ObjectVersionFilter | None` * `limit`: `int | None` * `offset`: `int | None` * `sort_by`: `list[weave.trace_server.common_interface.SortBy] | None` * `metadata_only`: `bool | None` * `include_storage_size`: `bool | None` * `include_tags_and_aliases`: `bool | None` *** ## classe `ObjQueryRes` **champs Pydantic :** * `objs`: `list[ObjSchema]` *** ## classe `ObjReadReq` **Champs Pydantic :** * `project_id`: `` * `object_id`: `` * `digest`: `` * `metadata_only`: `bool | None` * `include_tags_and_aliases`: `bool | None` *** ## classe `ObjReadRes` **Champs Pydantic :** * `obj`: `` *** ## classe `ObjRemoveAliasesReq` **Champs Pydantic :** * `project_id`: `` * `object_id`: `` * `aliases`: `list[str]` * `wb_user_id`: `str | None` ### méthode `validate_aliases` ```python theme={null} validate_aliases() → ObjRemoveAliasesReq ``` *** ## classe `ObjRemoveAliasesRes` *** ## classe `ObjRemoveTagsReq` **Champs Pydantic :** * `project_id`: `` * `object_id`: `` * `digest`: `` * `tags`: `list[str]` * `wb_user_id`: `str | None` *** ## classe `ObjRemoveTagsRes` *** ## classe `ObjSchema` **champs Pydantic :** * `project_id`: `` * `object_id`: `` * `created_at`: `` * `deleted_at`: `datetime.datetime | None` * `digest`: `` * `version_index`: `` * `is_latest`: `` * `kind`: `` * `base_object_class`: `str | None` * `leaf_object_class`: `str | None` * `val`: `typing.Any` * `wb_user_id`: `str | None` * `size_bytes`: `int | None` * `tags`: `list[str] | None` * `aliases`: `list[str] | None` *** ## classe `ObjSchemaForInsert` **champs Pydantic :** * `project_id`: `` * `object_id`: `` * `val`: `typing.Any` * `builtin_object_class`: `str | None` * `set_base_object_class`: `str | None` * `expected_digest`: `str | None` * `wb_user_id`: `str | None` ### méthode `model_post_init` ```python theme={null} model_post_init(context: Any) → None ``` *** ## classe `ObjSetAliasesReq` **Champs Pydantic :** * `project_id`: `` * `object_id`: `` * `digest`: `` * `aliases`: `list[str]` * `wb_user_id`: `str | None` ### méthode `validate_aliases` ```python theme={null} validate_aliases() → ObjSetAliasesReq ``` *** ## classe `ObjSetAliasesRes` *** ## classe `ObjectInterface` Points de terminaison de l’API des objets pour Trace Server. Ce protocole contient des API de gestion d’objets qui fournissent des interfaces plus claires et plus conformes aux principes REST. Les implémentations doivent prendre en charge à la fois ce protocole et TraceServerInterface afin de maintenir la rétrocompatibilité. *** ### méthode `call_end_v2` ```python theme={null} call_end_v2(req: CallEndV2Req) → CallEndV2Res ``` *** ### méthode `call_start_v2` ```python theme={null} call_start_v2(req: CallStartV2Req) → CallStartV2Res ``` *** ### méthode `calls_complete` ```python theme={null} calls_complete(req: CallsUpsertCompleteReq) → CallsUpsertCompleteRes ``` *** ### méthode `dataset_create` ```python theme={null} dataset_create(req: DatasetCreateReq) → DatasetCreateRes ``` *** ### méthode `dataset_delete` ```python theme={null} dataset_delete(req: DatasetDeleteReq) → DatasetDeleteRes ``` *** ### méthode `dataset_list` ```python theme={null} dataset_list(req: DatasetListReq) → Iterator[DatasetReadRes] ``` *** ### méthode `dataset_read` ```python theme={null} dataset_read(req: DatasetReadReq) → DatasetReadRes ``` *** ### méthode `eval_results_query` ```python theme={null} eval_results_query(req: EvalResultsQueryReq) → EvalResultsQueryRes ``` *** ### méthode `evaluation_create` ```python theme={null} evaluation_create(req: EvaluationCreateReq) → EvaluationCreateRes ``` *** ### méthode `evaluation_delete` ```python theme={null} evaluation_delete(req: EvaluationDeleteReq) → EvaluationDeleteRes ``` *** ### méthode `evaluation_list` ```python theme={null} evaluation_list(req: EvaluationListReq) → Iterator[EvaluationReadRes] ``` *** ### méthode `evaluation_read` ```python theme={null} evaluation_read(req: EvaluationReadReq) → EvaluationReadRes ``` *** ### méthode `evaluation_run_create` ```python theme={null} evaluation_run_create(req: EvaluationRunCreateReq) → EvaluationRunCreateRes ``` *** ### méthode `evaluation_run_delete` ```python theme={null} evaluation_run_delete(req: EvaluationRunDeleteReq) → EvaluationRunDeleteRes ``` *** ### méthode `evaluation_run_finish` ```python theme={null} evaluation_run_finish(req: EvaluationRunFinishReq) → EvaluationRunFinishRes ``` *** ### méthode `evaluation_run_list` ```python theme={null} evaluation_run_list(req: EvaluationRunListReq) → Iterator[EvaluationRunReadRes] ``` *** ### méthode `evaluation_run_read` ```python theme={null} evaluation_run_read(req: EvaluationRunReadReq) → EvaluationRunReadRes ``` *** ### méthode `model_create` ```python theme={null} model_create(req: ModelCreateReq) → ModelCreateRes ``` *** ### méthode `model_delete` ```python theme={null} model_delete(req: ModelDeleteReq) → ModelDeleteRes ``` *** ### méthode `model_list` ```python theme={null} model_list(req: ModelListReq) → Iterator[ModelReadRes] ``` *** ### méthode `model_read` ```python theme={null} model_read(req: ModelReadReq) → ModelReadRes ``` *** ### méthode `op_create` ```python theme={null} op_create(req: OpCreateReq) → OpCreateRes ``` *** ### méthode `op_delete` ```python theme={null} op_delete(req: OpDeleteReq) → OpDeleteRes ``` *** ### méthode `op_list` ```python theme={null} op_list(req: OpListReq) → Iterator[OpReadRes] ``` *** ### méthode `op_read` ```python theme={null} op_read(req: OpReadReq) → OpReadRes ``` *** ### méthode `prediction_create` ```python theme={null} prediction_create(req: PredictionCreateReq) → PredictionCreateRes ``` *** ### méthode `prediction_delete` ```python theme={null} prediction_delete(req: PredictionDeleteReq) → PredictionDeleteRes ``` *** ### méthode `prediction_finish` ```python theme={null} prediction_finish(req: PredictionFinishReq) → PredictionFinishRes ``` *** ### méthode `prediction_list` ```python theme={null} prediction_list(req: PredictionListReq) → Iterator[PredictionReadRes] ``` *** ### méthode `prediction_read` ```python theme={null} prediction_read(req: PredictionReadReq) → PredictionReadRes ``` *** ### méthode `score_create` ```python theme={null} score_create(req: ScoreCreateReq) → ScoreCreateRes ``` *** ### méthode `score_delete` ```python theme={null} score_delete(req: ScoreDeleteReq) → ScoreDeleteRes ``` *** ### méthode `score_list` ```python theme={null} score_list(req: ScoreListReq) → Iterator[ScoreReadRes] ``` *** ### méthode `score_read` ```python theme={null} score_read(req: ScoreReadReq) → ScoreReadRes ``` *** ### méthode `scorer_create` ```python theme={null} scorer_create(req: ScorerCreateReq) → ScorerCreateRes ``` *** ### méthode `scorer_delete` ```python theme={null} scorer_delete(req: ScorerDeleteReq) → ScorerDeleteRes ``` *** ### méthode `scorer_list` ```python theme={null} scorer_list(req: ScorerListReq) → Iterator[ScorerReadRes] ``` *** ### méthode `scorer_read` ```python theme={null} scorer_read(req: ScorerReadReq) → ScorerReadRes ``` *** ## classe `ObjectVersionFilter` **Champs Pydantic :** * `base_object_classes`: `list[str] | None` * `exclude_base_object_classes`: `list[str] | None` * `leaf_object_classes`: `list[str] | None` * `object_ids`: `list[str] | None` * `is_op`: `bool | None` * `latest_only`: `bool | None` * `tags`: `list[str] | None` * `aliases`: `list[str] | None` *** ## classe `OpCreateBody` Corps de requête pour créer un objet Op via l’API REST. Ce modèle exclut `project_id`, car il est fourni par le chemin de l’URL dans les endpoints REST. **champs Pydantic :** * `name`: `str | None` * `source_code`: `str | None` *** ## classe `OpCreateReq` Modèle de requête pour créer un objet Op. Étend OpCreateBody en y ajoutant `project_id` pour un usage interne de l’API. **Champs Pydantic :** * `name`: `str | None` * `source_code`: `str | None` * `project_id`: `` * `wb_user_id`: `str | None` *** ## classe `OpCreateRes` Modèle de réponse pour créer un objet Op. **Champs Pydantic :** * `digest`: `` * `object_id`: `` * `version_index`: `` *** ## classe `OpDeleteReq` **Champs Pydantic :** * `project_id`: `` * `object_id`: `` * `digests`: `list[str] | None` * `wb_user_id`: `str | None` *** ## classe `OpDeleteRes` **champs Pydantic :** * `num_deleted`: `` *** ## classe `OpListReq` **Champs Pydantic :** * `project_id`: `` * `limit`: `int | None` * `offset`: `int | None` * `wb_user_id`: `str | None` *** ## classe `OpReadReq` **Champs Pydantic :** * `project_id`: `` * `object_id`: `` * `digest`: `` * `wb_user_id`: `str | None` *** ## classe `OpReadRes` Modèle de réponse pour lire un objet Op. Le champ `code` contient le code source réel de l’op. **Champs Pydantic :** * `object_id`: `` * `digest`: `` * `version_index`: `` * `created_at`: `` * `code`: `` *** ## classe `PredictionCreateBody` Corps de requête pour créer une prédiction via l’API REST. Ce modèle exclut `project_id`, car il est récupéré à partir du chemin d’URL des endpoints REST. **champs Pydantic :** * `model`: `` * `inputs`: `dict[str, typing.Any]` * `output`: `typing.Any` * `evaluation_run_id`: `str | None` * `genai_span_ref`: `list[GenAISpanRef] | None` *** ## classe `PredictionCreateReq` Modèle de requête pour créer une prédiction. Étend PredictionCreateBody en ajoutant project\_id pour une utilisation interne de l’API. **Champs Pydantic :** * `model`: `` * `inputs`: `dict[str, typing.Any]` * `output`: `typing.Any` * `evaluation_run_id`: `str | None` * `genai_span_ref`: `list[GenAISpanRef] | None` * `project_id`: `` * `wb_user_id`: `str | None` *** ## classe `PredictionCreateRes` **Champs Pydantic :** * `prediction_id`: `` *** ## classe `PredictionDeleteReq` **Champs Pydantic :** * `project_id`: `` * `prediction_ids`: `list[str]` * `wb_user_id`: `str | None` *** ## classe `PredictionDeleteRes` **champs Pydantic :** * `num_deleted`: `` *** ## classe `PredictionFinishReq` **champs Pydantic :** * `project_id`: `` * `prediction_id`: `` * `wb_user_id`: `str | None` *** ## classe `PredictionFinishRes` **Champs Pydantic :** * `success`: `` *** ## classe `PredictionListReq` **Champs Pydantic :** * `project_id`: `` * `evaluation_run_id`: `str | None` * `limit`: `int | None` * `offset`: `int | None` * `wb_user_id`: `str | None` *** ## classe `PredictionListRes` **Champs Pydantic :** * `predictions`: `list[PredictionReadRes]` *** ## classe `PredictionReadReq` **Champs Pydantic :** * `project_id`: `` * `prediction_id`: `` * `wb_user_id`: `str | None` *** ## classe `PredictionReadRes` **Champs Pydantic :** * `prediction_id`: `` * `model`: `` * `inputs`: `dict[str, typing.Any]` * `output`: `typing.Any` * `evaluation_run_id`: `str | None` * `wb_user_id`: `str | None` *** ## classe `ProcessedResourceSpans` **Champs Pydantic :** * `entity`: `` * `project`: `` * `run_id`: `str | None` * `resource_spans`: `` *** ## classe `ProjectStatsReq` **Champs Pydantic :** * `project_id`: `` * `include_trace_storage_size`: `bool | None` * `include_object_storage_size`: `bool | None` * `include_table_storage_size`: `bool | None` * `include_file_storage_size`: `bool | None` *** ## classe `ProjectStatsRes` **Champs Pydantic :** * `trace_storage_size_bytes`: `` * `objects_storage_size_bytes`: `` * `tables_storage_size_bytes`: `` * `files_storage_size_bytes`: `` *** ## classe `ProjectTTLSettingsReadReq` **Champs Pydantic :** * `project_id`: `` *** ## classe `ProjectTTLSettingsReadRes` **champs Pydantic :** * `retention_days`: `int | None` *** ## classe `ProjectTTLSettingsUpdateReq` **Champs Pydantic :** * `project_id`: `` * `retention_days`: `int | None` * `wb_user_id`: `str | None` *** ## classe `ProjectTTLSettingsUpdateRes` **champs Pydantic :** * `retention_days`: `int | None` *** ## classe `RefsReadBatchReq` **Champs Pydantic :** * `refs` : `list[str]` *** ## classe `RefsReadBatchRes` **Champs Pydantic :** * `vals`: `list[typing.Any]` *** ## classe `RescoreBody` Corps de requête pour le rescoring via l’API REST (hors champs définis par le serveur). **Champs Pydantic :** * `source_evaluation_run_id` : `` * `scorer_refs` : `list[str]` *** ## classe `RescoreReq` Requête complète de recalcul des scores, y compris les champs définis par le serveur. **Champs Pydantic :** * `source_evaluation_run_id`: `` * `scorer_refs`: `list[str]` * `project_id`: `` * `wb_user_id`: `str | None` *** ## classe `RescoreRes` Réponse à une requête de recalcul des scores. **Champs Pydantic :** * `call_id`: `` * `evaluation_run_id`: `` *** ## classe `RescoringArgs` Arguments d’un job de rescoring envoyé au worker evaluate-model. Diffère de `EvaluateModelArgs` : aucun modèle n’est chargé et aucune prédiction n’est exécutée. Seuls les scorer(s) sont appliqués aux prédictions existantes de `source_evaluation_run_id`. **Champs Pydantic :** * `job_type`: `typing.Literal['rescore']` * `project_id`: `` * `source_evaluation_run_id`: `` * `scorer_refs`: `list[str]` * `wb_user_id`: `str | None` * `new_evaluation_run_id`: `` *** ## classe `ScoreCreateBody` Corps de la requête pour créer un score via l’API REST. Ce modèle exclut `project_id`, car il provient du chemin de l’URL dans les endpoints REST. **Champs Pydantic :** * `prediction_id`: `` * `scorer`: `` * `value`: `typing.Any` * `evaluation_run_id`: `str | None` *** ## classe `ScoreCreateReq` Modèle de requête pour créer un score. Étend ScoreCreateBody en y ajoutant `project_id` pour l’usage interne de l’API. **Champs Pydantic :** * `prediction_id`: `` * `scorer`: `` * `value`: `typing.Any` * `evaluation_run_id`: `str | None` * `project_id`: `` * `wb_user_id`: `str | None` *** ## classe `ScoreCreateRes` **Champs Pydantic :** * `score_id`: `` *** ## classe `ScoreDeleteReq` **Champs Pydantic :** * `project_id`: `` * `score_ids`: `list[str]` * `wb_user_id`: `str | None` *** ## classe `ScoreDeleteRes` **Champs Pydantic :** * `num_deleted`: `` *** ## classe `ScoreListReq` **Champs Pydantic :** * `project_id`: `` * `evaluation_run_id`: `str | None` * `limit`: `int | None` * `offset`: `int | None` * `wb_user_id`: `str | None` *** ## classe `ScoreReadReq` **champs Pydantic :** * `project_id`: `` * `score_id`: `` * `wb_user_id`: `str | None` *** ## classe `ScoreReadRes` **Champs Pydantic :** * `score_id`: `` * `scorer`: `` * `value`: `typing.Any` * `evaluation_run_id`: `str | None` * `wb_user_id`: `str | None` *** ## classe `ScorerCreateBody` **Champs Pydantic :** * `name`: `` * `description`: `str | None` * `op_source_code`: `` *** ## classe `ScorerCreateReq` **Champs Pydantic :** * `name`: `` * `description`: `str | None` * `op_source_code`: `` * `project_id`: `` * `wb_user_id`: `str | None` *** ## classe `ScorerCreateRes` **Champs Pydantic :** * `digest`: `` * `object_id`: `` * `version_index`: `` * `scorer`: `` *** ## classe `ScorerDeleteReq` **Champs Pydantic :** * `project_id`: `` * `object_id`: `` * `digests`: `list[str] | None` * `wb_user_id`: `str | None` *** ## classe `ScorerDeleteRes` **champs Pydantic :** * `num_deleted`: `` *** ## classe `ScorerListReq` **Champs Pydantic :** * `project_id`: `` * `limit`: `int | None` * `offset`: `int | None` * `wb_user_id`: `str | None` *** ## classe `ScorerReadReq` **Champs Pydantic :** * `project_id`: `` * `object_id`: `` * `digest`: `` * `wb_user_id`: `str | None` *** ## classe `ScorerReadRes` **champs Pydantic :** * `object_id`: `` * `digest`: `` * `version_index`: `` * `created_at`: `` * `name`: `` * `description`: `str | None` * `score_op`: `` *** ## classe `StartedCallSchemaForInsert` **champs Pydantic :** * `project_id`: `` * `id`: `str | None` * `op_name`: `` * `display_name`: `str | None` * `trace_id`: `str | None` * `parent_id`: `str | None` * `thread_id`: `str | None` * `turn_id`: `str | None` * `started_at`: `` * `attributes`: `dict[str, typing.Any]` * `inputs`: `dict[str, typing.Any]` * `otel_dump`: `dict[str, typing.Any] | None` * `wb_user_id`: `str | None` * `wb_run_id`: `str | None` * `wb_run_step`: `int | None` *** ## classe `SummaryInsertMap` *** ## classe `SummaryMap` *** ## classe `TableAppendSpec` **Champs Pydantic :** * `append`: `` *** ## classe `TableAppendSpecPayload` **Champs Pydantic :** * `row` : `dict[str, typing.Any]` *** ## classe `TableCreateFromDigestsReq` **Champs Pydantic :** * `project_id`: `` * `row_digests`: `list[str]` * `expected_digest`: `str | None` *** ## classe `TableCreateFromDigestsRes` **champs Pydantic :** * `digest` : `` *** ## classe `TableCreateReq` **champs Pydantic :** * `table`: `` *** ## classe `TableCreateRes` **Champs Pydantic :** * `digest`: `` * `row_digests`: `list[str]` *** ## classe `TableInsertSpec` **champs Pydantic :** * `insert`: `` *** ## classe `TableInsertSpecPayload` **champs Pydantic :** * `index`: `` * `row`: `dict[str, typing.Any]` *** ## classe `TablePopSpec` **Champs Pydantic :** * `pop`: `` *** ## classe `TablePopSpecPayload` **Champs Pydantic :** * `index`: `` *** ## classe `TableQueryReq` **Champs Pydantic :** * `project_id`: `` * `digest`: `` * `filter`: `TableRowFilter | None` * `limit`: `int | None` * `offset`: `int | None` * `sort_by`: `list[weave.trace_server.common_interface.SortBy] | None` *** ## classe `TableQueryRes` **Champs Pydantic :** * `rows`: `list[TableRowSchema]` *** ## classe `TableQueryStatsBatchReq` **Champs Pydantic :** * `project_id`: `` * `digests`: `list[str] | None` * `include_storage_size`: `bool | None` *** ## classe `TableQueryStatsBatchRes` **Champs Pydantic :** * `tables`: `list[TableStatsRow]` *** ## classe `TableQueryStatsReq` **Champs Pydantic :** * `project_id`: `` * `digest`: `` *** ## classe `TableQueryStatsRes` **champs Pydantic :** * `count`: `` *** ## classe `TableRowFilter` **Champs Pydantic :** * `row_digests`: `list[str] | None` *** ## classe `TableRowSchema` **champs Pydantic :** * `digest`: `` * `val`: `typing.Any` * `original_index`: `int | None` *** ## classe `TableSchemaForInsert` **champs Pydantic :** * `project_id`: `` * `rows`: `list[dict[str, typing.Any]]` * `expected_digest`: `str | None` *** ## classe `TableStatsRow` **Champs Pydantic :** * `count`: `` * `digest`: `` * `storage_size_bytes`: `int | None` *** ## classe `TableUpdateReq` **Champs Pydantic :** * `project_id`: `` * `base_digest`: `` * `updates`: `list[TableAppendSpec | TablePopSpec | TableInsertSpec]` *** ## classe `TableUpdateRes` **Champs Pydantic :** * `digest`: `` * `updated_row_digests`: `list[str]` *** ## classe `TagsListReq` **Champs Pydantic :** * `project_id`: `` * `wb_user_id`: `str | None` *** ## classe `TagsListRes` **Champs Pydantic :** * `tags` : `list[str]` *** ## classe `ThreadSchema` **Champs Pydantic :** * `thread_id`: `` * `turn_count`: `` * `start_time`: `` * `last_updated`: `` * `first_turn_id`: `str | None` * `last_turn_id`: `str | None` * `p50_turn_duration_ms`: `float | None` * `p99_turn_duration_ms`: `float | None` *** ## classe `ThreadsQueryFilter` **Champs Pydantic :** * `after_datetime`: `datetime.datetime | None` * `before_datetime`: `datetime.datetime | None` * `thread_ids`: `list[str] | None` *** ## classe `ThreadsQueryReq` Interroge les threads avec des statistiques agrégées calculées uniquement à partir des appels de tour. Les appels de tour sont les enfants directs des contextes de thread (où call.id == turn\_id). Cela fournit des statistiques pertinentes à l’échelle de la conversation, plutôt que d’inclure tous les détails d’implémentation imbriqués. **Champs Pydantic :** * `project_id`: `` * `filter`: `ThreadsQueryFilter | None` * `limit`: `int | None` * `offset`: `int | None` * `sort_by`: `list[weave.trace_server.common_interface.SortBy] | None` *** ## classe `TraceServerInterface` *** ### méthode `actions_execute_batch` ```python theme={null} actions_execute_batch(req: ActionsExecuteBatchReq) → ActionsExecuteBatchRes ``` *** ### méthode `agent_agents_query` ```python theme={null} agent_agents_query(req: AgentsQueryReq) → AgentsQueryRes ``` *** ### méthode `agent_conversation_chat` ```python theme={null} agent_conversation_chat( req: AgentConversationChatReq ) → AgentConversationChatRes ``` *** ### méthode `agent_custom_attrs_schema` ```python theme={null} agent_custom_attrs_schema( req: AgentCustomAttrsSchemaReq ) → AgentCustomAttrsSchemaRes ``` *** ### méthode `agent_search` ```python theme={null} agent_search(req: AgentSearchReq) → AgentSearchRes ``` *** ### méthode `agent_spans_query` ```python theme={null} agent_spans_query(req: AgentSpansQueryReq) → AgentSpansQueryRes ``` *** ### méthode `agent_spans_stats` ```python theme={null} agent_spans_stats(req: AgentSpanStatsReq) → AgentSpanStatsRes ``` *** ### méthode `agent_traces_chat` ```python theme={null} agent_traces_chat(req: AgentTraceChatReq) → AgentTraceChatRes ``` *** ### méthode `agent_versions_query` ```python theme={null} agent_versions_query(req: AgentVersionsQueryReq) → AgentVersionsQueryRes ``` *** ### méthode `aliases_list` ```python theme={null} aliases_list(req: AliasesListReq) → AliasesListRes ``` *** ### méthode `annotation_queue_add_calls` ```python theme={null} annotation_queue_add_calls( req: AnnotationQueueAddCallsReq ) → AnnotationQueueAddCallsRes ``` *** ### méthode `annotation_queue_create` ```python theme={null} annotation_queue_create( req: AnnotationQueueCreateReq ) → AnnotationQueueCreateRes ``` *** ### méthode `annotation_queue_delete` ```python theme={null} annotation_queue_delete( req: AnnotationQueueDeleteReq ) → AnnotationQueueDeleteRes ``` *** ### méthode `annotation_queue_items_query` ```python theme={null} annotation_queue_items_query( req: AnnotationQueueItemsQueryReq ) → AnnotationQueueItemsQueryRes ``` *** ### méthode `annotation_queue_read` ```python theme={null} annotation_queue_read(req: AnnotationQueueReadReq) → AnnotationQueueReadRes ``` *** ### méthode `annotation_queue_update` ```python theme={null} annotation_queue_update( req: AnnotationQueueUpdateReq ) → AnnotationQueueUpdateRes ``` *** ### méthode `annotation_queues_query_stream` ```python theme={null} annotation_queues_query_stream( req: AnnotationQueuesQueryReq ) → Iterator[AnnotationQueueSchema] ``` *** ### méthode `annotation_queues_stats` ```python theme={null} annotation_queues_stats( req: AnnotationQueuesStatsReq ) → AnnotationQueuesStatsRes ``` *** ### méthode `annotator_queue_items_progress_update` ```python theme={null} annotator_queue_items_progress_update( req: AnnotatorQueueItemsProgressUpdateReq ) → AnnotatorQueueItemsProgressUpdateRes ``` *** ### méthode `call_end` ```python theme={null} call_end(req: CallEndReq) → CallEndRes ``` *** ### méthode `call_read` ```python theme={null} call_read(req: CallReadReq) → CallReadRes ``` *** ### méthode `call_start` ```python theme={null} call_start(req: CallStartReq) → CallStartRes ``` *** ### méthode `call_start_batch` ```python theme={null} call_start_batch(req: CallCreateBatchReq) → CallCreateBatchRes ``` *** ### méthode `call_stats` ```python theme={null} call_stats(req: 'CallStatsReq') → CallStatsRes ``` *** ### méthode `call_update` ```python theme={null} call_update(req: CallUpdateReq) → CallUpdateRes ``` *** ### méthode `calls_delete` ```python theme={null} calls_delete(req: CallsDeleteReq) → CallsDeleteRes ``` *** ### méthode `calls_query` ```python theme={null} calls_query(req: CallsQueryReq) → CallsQueryRes ``` *** ### méthode `calls_query_stats` ```python theme={null} calls_query_stats(req: CallsQueryStatsReq) → CallsQueryStatsRes ``` *** ### méthode `calls_query_stream` ```python theme={null} calls_query_stream(req: CallsQueryReq) → Iterator[CallSchema] ``` *** ### méthode `calls_score` ```python theme={null} calls_score(req: CallsScoreReq) → CallsScoreRes ``` *** ### méthode `calls_usage` ```python theme={null} calls_usage(req: 'CallsUsageReq') → CallsUsageRes ``` *** ### méthode `completions_create` ```python theme={null} completions_create(req: CompletionsCreateReq) → CompletionsCreateRes ``` *** ### méthode `completions_create_stream` ```python theme={null} completions_create_stream(req: CompletionsCreateReq) → Iterator[dict[str, Any]] ``` *** ### méthode `cost_create` ```python theme={null} cost_create(req: CostCreateReq) → CostCreateRes ``` *** ### méthode `cost_purge` ```python theme={null} cost_purge(req: CostPurgeReq) → CostPurgeRes ``` *** ### méthode `cost_query` ```python theme={null} cost_query(req: CostQueryReq) → CostQueryRes ``` *** ### méthode `evaluate_model` ```python theme={null} evaluate_model(req: EvaluateModelReq) → EvaluateModelRes ``` *** ### méthode `evaluation_status` ```python theme={null} evaluation_status(req: EvaluationStatusReq) → EvaluationStatusRes ``` *** ### méthode `feedback_create` ```python theme={null} feedback_create(req: FeedbackCreateReq) → FeedbackCreateRes ``` *** ### méthode `feedback_create_batch` ```python theme={null} feedback_create_batch(req: FeedbackCreateBatchReq) → FeedbackCreateBatchRes ``` *** ### méthode `feedback_payload_schema` ```python theme={null} feedback_payload_schema( req: FeedbackPayloadSchemaReq ) → FeedbackPayloadSchemaRes ``` *** ### méthode `feedback_purge` ```python theme={null} feedback_purge(req: FeedbackPurgeReq) → FeedbackPurgeRes ``` *** ### méthode `feedback_query` ```python theme={null} feedback_query(req: FeedbackQueryReq) → FeedbackQueryRes ``` *** ### méthode `feedback_replace` ```python theme={null} feedback_replace(req: FeedbackReplaceReq) → FeedbackReplaceRes ``` *** ### méthode `feedback_stats` ```python theme={null} feedback_stats(req: FeedbackStatsReq) → FeedbackStatsRes ``` *** ### méthode `file_content_read` ```python theme={null} file_content_read(req: FileContentReadReq) → FileContentReadRes ``` *** ### méthode `file_create` ```python theme={null} file_create(req: FileCreateReq) → FileCreateRes ``` *** ### méthode `files_stats` ```python theme={null} files_stats(req: FilesStatsReq) → FilesStatsRes ``` *** ### méthode `genai_otel_export` ```python theme={null} genai_otel_export(req: GenAIOTelExportReq) → GenAIOTelExportRes ``` *** ### méthode `image_create` ```python theme={null} image_create(req: ImageGenerationCreateReq) → ImageGenerationCreateRes ``` *** ### méthode `obj_add_tags` ```python theme={null} obj_add_tags(req: ObjAddTagsReq) → ObjAddTagsRes ``` *** ### méthode `obj_create` ```python theme={null} obj_create(req: ObjCreateReq) → ObjCreateRes ``` *** ### méthode `obj_delete` ```python theme={null} obj_delete(req: ObjDeleteReq) → ObjDeleteRes ``` *** ### méthode `obj_read` ```python theme={null} obj_read(req: ObjReadReq) → ObjReadRes ``` *** ### méthode `obj_remove_aliases` ```python theme={null} obj_remove_aliases(req: ObjRemoveAliasesReq) → ObjRemoveAliasesRes ``` *** ### méthode `obj_remove_tags` ```python theme={null} obj_remove_tags(req: ObjRemoveTagsReq) → ObjRemoveTagsRes ``` *** ### méthode `obj_set_aliases` ```python theme={null} obj_set_aliases(req: ObjSetAliasesReq) → ObjSetAliasesRes ``` *** ### méthode `objs_query` ```python theme={null} objs_query(req: ObjQueryReq) → ObjQueryRes ``` *** ### méthode `otel_export` ```python theme={null} otel_export(req: OTelExportReq) → OTelExportRes ``` *** ### méthode `project_stats` ```python theme={null} project_stats(req: ProjectStatsReq) → ProjectStatsRes ``` *** ### méthode `project_ttl_settings_read` ```python theme={null} project_ttl_settings_read( req: ProjectTTLSettingsReadReq ) → ProjectTTLSettingsReadRes ``` *** ### méthode `project_ttl_settings_update` ```python theme={null} project_ttl_settings_update( req: ProjectTTLSettingsUpdateReq ) → ProjectTTLSettingsUpdateRes ``` *** ### méthode `refs_read_batch` ```python theme={null} refs_read_batch(req: RefsReadBatchReq) → RefsReadBatchRes ``` *** ### méthode `rescore` ```python theme={null} rescore(req: RescoreReq) → RescoreRes ``` *** ### méthode `table_create` ```python theme={null} table_create(req: TableCreateReq) → TableCreateRes ``` *** ### méthode `table_create_from_digests` ```python theme={null} table_create_from_digests( req: TableCreateFromDigestsReq ) → TableCreateFromDigestsRes ``` *** ### méthode `table_query` ```python theme={null} table_query(req: TableQueryReq) → TableQueryRes ``` *** ### méthode `table_query_stats` ```python theme={null} table_query_stats(req: TableQueryStatsReq) → TableQueryStatsRes ``` *** ### méthode `table_query_stats_batch` ```python theme={null} table_query_stats_batch(req: TableQueryStatsBatchReq) → TableQueryStatsBatchRes ``` *** ### méthode `table_query_stream` ```python theme={null} table_query_stream(req: TableQueryReq) → Iterator[TableRowSchema] ``` *** ### méthode `table_update` ```python theme={null} table_update(req: TableUpdateReq) → TableUpdateRes ``` *** ### méthode `tags_list` ```python theme={null} tags_list(req: TagsListReq) → TagsListRes ``` *** ### méthode `threads_query_stream` ```python theme={null} threads_query_stream(req: ThreadsQueryReq) → Iterator[ThreadSchema] ``` *** ### méthode `trace_usage` ```python theme={null} trace_usage(req: 'TraceUsageReq') → TraceUsageRes ``` *** ## class `TraceStatus` *** ## class `TraceUsageReq` Requête permettant de calculer l’utilisation par appel pour une trace, avec cumul des descendants. Ce point de terminaison renvoie des métriques d’utilisation pour chaque appel de la trace. Les métriques de chaque appel incluent la somme de sa propre utilisation et de celle de tous ses descendants. Utilisez-le dans la Vue de trace lorsque vous souhaitez afficher des métriques cumulées par appel. Remarque : tous les appels correspondants sont chargés en mémoire pour l’agrégation. Pour les ensembles de résultats très volumineux (>10k appels), envisagez d’utiliser des filtres plus spécifiques ou une pagination au niveau de l’application. **Champs Pydantic :** * `project_id`: `` * `filter`: `CallsFilter | None` * `query`: `weave.trace_server.interface.query.Query | None` * `include_costs`: `` * `limit`: `` *** ## class `TraceUsageRes` Réponse contenant les métriques d’utilisation par appel (chacune inclut les contributions des descendants). **Champs Pydantic :** * `call_usage`: `dict[str, dict[str, LLMAggregatedUsage]]` * `unfinished_call_ids`: `list[str]` *** ## class `UsageMetricSpec` Spécification d’une métrique d’utilisation à agréger (groupée par modèle). **Champs Pydantic :** * `metric`: `typing.Literal['input_tokens', 'output_tokens', 'total_tokens', 'cache_read_input_tokens', 'cache_creation_input_tokens', 'input_cost', 'output_cost', 'total_cost']` * `aggregations`: `list[AggregationType]` * `percentiles`: `list[float]` *** ## class `WeaveSummarySchema`