> ## 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. # remote_http_trace_server > weave.trace_server_bindings.remote_http_trace_server에 대한 Python SDK 레퍼런스 export const SourceLink = ({url}) => 출처 ;

# API Overview

*** ## class `RemoteHTTPTraceServer` ### 방법 `__init__` ```python theme={null} __init__( trace_server_url: str, should_batch: bool = False, remote_request_bytes_limit: int = 32505856, auth: tuple[str, str] | None = None, extra_headers: dict[str, str] | None = None ) ``` *** ### 방법 `agent_agents_query` ```python theme={null} agent_agents_query(req: AgentsQueryReq) → AgentsQueryRes ``` *** ### 방법 `agent_conversation_chat` ```python theme={null} agent_conversation_chat( req: AgentConversationChatReq ) → AgentConversationChatRes ``` *** ### 방법 `agent_custom_attrs_schema` ```python theme={null} agent_custom_attrs_schema( req: AgentCustomAttrsSchemaReq ) → AgentCustomAttrsSchemaRes ``` *** ### 방법 `agent_search` ```python theme={null} agent_search(req: AgentSearchReq) → AgentSearchRes ``` *** ### 방법 `agent_spans_query` ```python theme={null} agent_spans_query(req: AgentSpansQueryReq) → AgentSpansQueryRes ``` *** ### 방법 `agent_spans_stats` ```python theme={null} agent_spans_stats(req: AgentSpanStatsReq) → AgentSpanStatsRes ``` *** ### 방법 `agent_traces_chat` ```python theme={null} agent_traces_chat(req: AgentTraceChatReq) → AgentTraceChatRes ``` *** ### 방법 `agent_versions_query` ```python theme={null} agent_versions_query(req: AgentVersionsQueryReq) → AgentVersionsQueryRes ``` *** ### 방법 `aliases_list` ```python theme={null} aliases_list(req: AliasesListReq) → AliasesListRes ``` *** ### 방법 `annotation_queue_add_calls` ```python theme={null} annotation_queue_add_calls( req: AnnotationQueueAddCallsReq ) → AnnotationQueueAddCallsRes ``` *** ### 방법 `annotation_queue_create` ```python theme={null} annotation_queue_create( req: AnnotationQueueCreateReq ) → AnnotationQueueCreateRes ``` *** ### 방법 `annotation_queue_delete` ```python theme={null} annotation_queue_delete( req: AnnotationQueueDeleteReq ) → AnnotationQueueDeleteRes ``` *** ### 방법 `annotation_queue_items_query` ```python theme={null} annotation_queue_items_query( req: AnnotationQueueItemsQueryReq ) → AnnotationQueueItemsQueryRes ``` *** ### 방법 `annotation_queue_read` ```python theme={null} annotation_queue_read(req: AnnotationQueueReadReq) → AnnotationQueueReadRes ``` *** ### 방법 `annotation_queue_update` ```python theme={null} annotation_queue_update( req: AnnotationQueueUpdateReq ) → AnnotationQueueUpdateRes ``` *** ### 방법 `annotation_queues_query_stream` ```python theme={null} annotation_queues_query_stream( req: AnnotationQueuesQueryReq ) → Iterator[AnnotationQueueSchema] ``` *** ### 방법 `annotation_queues_stats` ```python theme={null} annotation_queues_stats( req: AnnotationQueuesStatsReq ) → AnnotationQueuesStatsRes ``` *** ### 방법 `annotator_queue_items_progress_update` ```python theme={null} annotator_queue_items_progress_update( req: AnnotatorQueueItemsProgressUpdateReq ) → AnnotatorQueueItemsProgressUpdateRes ``` *** ### 방법 `call_end` ```python theme={null} call_end(req: CallEndReq) → CallEndRes ``` *** ### 방법 `call_end_v2` ```python theme={null} call_end_v2(req: CallEndV2Req) → CallEndV2Res ``` 단일 Call 종료 Endpoint(v2). 이 Endpoint는 `end`를 별도로 전송해야 하는 eager ops에 사용합니다. *** ### 방법 `call_read` ```python theme={null} call_read(req: CallReadReq) → CallReadRes ``` *** ### 방법 `call_start` ```python theme={null} call_start(req: CallStartReq) → CallStartRes ``` *** ### 방법 `call_start_batch` ```python theme={null} call_start_batch(req: CallCreateBatchReq) → CallCreateBatchRes ``` *** ### 방법 `call_start_v2` ```python theme={null} call_start_v2(req: CallStartV2Req) → CallStartV2Res ``` 단일 Call 시작 Endpoint(v2). 이 Endpoint는 시작 시점이 즉시 표시되어야 하는 eager op에 사용됩니다. *** ### 방법 `call_update` ```python theme={null} call_update(req: CallUpdateReq) → CallUpdateRes ``` *** ### 방법 `calls_complete` ```python theme={null} calls_complete(req: CallsUpsertCompleteReq) → CallsUpsertCompleteRes ``` 완료된 calls를 배치로 전송하는 endpoint(v2)입니다. 이 endpoint는 use\_calls\_complete가 활성화된 경우, 시작 정보와 종료 정보가 모두 포함된 완료된 calls를 배치로 전송하는 데 사용됩니다. *** ### 방법 `calls_delete` ```python theme={null} calls_delete(req: CallsDeleteReq) → CallsDeleteRes ``` *** ### 방법 `calls_query` ```python theme={null} calls_query(req: CallsQueryReq) → CallsQueryRes ``` *** ### 방법 `calls_query_stats` ```python theme={null} calls_query_stats(req: CallsQueryStatsReq) → CallsQueryStatsRes ``` *** ### 방법 `calls_query_stream` ```python theme={null} calls_query_stream(req: CallsQueryReq) → Iterator[CallSchema] ``` *** ### 방법 `calls_score` ```python theme={null} calls_score(req: CallsScoreReq) → CallsScoreRes ``` *** ### 방법 `calls_usage` ```python theme={null} calls_usage(req: CallsUsageReq) → CallsUsageRes ``` *** ### 방법 `completions_create` ```python theme={null} completions_create(req: CompletionsCreateReq) → CompletionsCreateRes ``` *** ### 방법 `completions_create_stream` ```python theme={null} completions_create_stream(req: CompletionsCreateReq) → Iterator[dict[str, Any]] ``` *** ### 방법 `cost_create` ```python theme={null} cost_create(req: CostCreateReq) → CostCreateRes ``` *** ### 방법 `cost_purge` ```python theme={null} cost_purge(req: CostPurgeReq) → CostPurgeRes ``` *** ### 방법 `cost_query` ```python theme={null} cost_query(req: CostQueryReq) → CostQueryRes ``` *** ### 방법 `dataset_create` ```python theme={null} dataset_create(req: DatasetCreateReq) → DatasetCreateRes ``` *** ### 방법 `dataset_delete` ```python theme={null} dataset_delete(req: DatasetDeleteReq) → DatasetDeleteRes ``` *** ### 방법 `dataset_list` ```python theme={null} dataset_list(req: DatasetListReq) → Iterator[DatasetReadRes] ``` *** ### 방법 `dataset_read` ```python theme={null} dataset_read(req: DatasetReadReq) → DatasetReadRes ``` *** ### 방법 `dataset_sources_link` ```python theme={null} dataset_sources_link(req: DatasetSourcesLinkReq) → DatasetSourcesLinkRes ``` *** ### 방법 `dataset_sources_link_delete` ```python theme={null} dataset_sources_link_delete( req: DatasetSourcesLinkDeleteReq ) → DatasetSourcesLinkDeleteRes ``` *** ### 방법 `dataset_sources_query` ```python theme={null} dataset_sources_query(req: DatasetSourcesQueryReq) → DatasetSourcesQueryRes ``` *** ### 방법 `delete` ```python theme={null} delete(url: str, *args: Any, **kwargs: Any) → Response ``` *** ### 방법 `ensure_project_exists` ```python theme={null} ensure_project_exists(entity: str, project: str) → EnsureProjectExistsRes ``` *** ### 방법 `evaluate_model` ```python theme={null} evaluate_model(req: EvaluateModelReq) → EvaluateModelRes ``` *** ### 방법 `evaluation_create` ```python theme={null} evaluation_create(req: EvaluationCreateReq) → EvaluationCreateRes ``` *** ### 방법 `evaluation_delete` ```python theme={null} evaluation_delete(req: EvaluationDeleteReq) → EvaluationDeleteRes ``` *** ### 방법 `evaluation_list` ```python theme={null} evaluation_list(req: EvaluationListReq) → Iterator[EvaluationReadRes] ``` *** ### 방법 `evaluation_read` ```python theme={null} evaluation_read(req: EvaluationReadReq) → EvaluationReadRes ``` *** ### 방법 `evaluation_run_create` ```python theme={null} evaluation_run_create(req: EvaluationRunCreateReq) → EvaluationRunCreateRes ``` *** ### 방법 `evaluation_run_delete` ```python theme={null} evaluation_run_delete(req: EvaluationRunDeleteReq) → EvaluationRunDeleteRes ``` *** ### 방법 `evaluation_run_finish` ```python theme={null} evaluation_run_finish(req: EvaluationRunFinishReq) → EvaluationRunFinishRes ``` *** ### 방법 `evaluation_run_list` ```python theme={null} evaluation_run_list(req: EvaluationRunListReq) → Iterator[EvaluationRunReadRes] ``` *** ### 방법 `evaluation_run_read` ```python theme={null} evaluation_run_read(req: EvaluationRunReadReq) → EvaluationRunReadRes ``` *** ### 방법 `evaluation_status` ```python theme={null} evaluation_status(req: EvaluationStatusReq) → EvaluationStatusRes ``` *** ### 방법 `feedback_aggregate` ```python theme={null} feedback_aggregate(req: FeedbackAggregateReq) → FeedbackAggregateRes ``` 시간 경과에 따른 집계 점수를 확인하기 위해 피드백 테이블을 쿼리합니다. *** ### 방법 `feedback_create` ```python theme={null} feedback_create(req: FeedbackCreateReq) → FeedbackCreateRes ``` *** ### 방법 `feedback_create_batch` ```python theme={null} feedback_create_batch(req: FeedbackCreateBatchReq) → FeedbackCreateBatchRes ``` *** ### 방법 `feedback_payload_schema` ```python theme={null} feedback_payload_schema( req: FeedbackPayloadSchemaReq ) → FeedbackPayloadSchemaRes ``` *** ### 방법 `feedback_purge` ```python theme={null} feedback_purge(req: FeedbackPurgeReq) → FeedbackPurgeRes ``` *** ### 방법 `feedback_query` ```python theme={null} feedback_query(req: FeedbackQueryReq) → FeedbackQueryRes ``` *** ### 방법 `feedback_replace` ```python theme={null} feedback_replace(req: FeedbackReplaceReq) → FeedbackReplaceRes ``` *** ### 방법 `feedback_stats` ```python theme={null} feedback_stats(req: FeedbackStatsReq) → FeedbackStatsRes ``` *** ### 방법 `file_content_read` ```python theme={null} file_content_read(req: FileContentReadReq) → FileContentReadRes ``` *** ### 방법 `file_create` ```python theme={null} file_create(req: FileCreateReq) → FileCreateRes ``` *** ### 방법 `files_stats` ```python theme={null} files_stats(req: FilesStatsReq) → FilesStatsRes ``` *** ### classmethod `from_env` ```python theme={null} from_env(should_batch: bool = False) → Self ``` *** ### 방법 `get` ```python theme={null} get(url: str, *args: Any, **kwargs: Any) → Response ``` *** ### 방법 `get_call_processor` ```python theme={null} get_call_processor() → AsyncBatchProcessor | CallBatchProcessor | None ``` 기본 call 프로세서를 노출하기 위한, 정식 TraceServerInterface에 정의되지 않은 맞춤형 방법입니다. 클라이언트 측 인터페이스에서 정식으로 정의해야 합니다. *** ### 방법 `get_feedback_processor` ```python theme={null} get_feedback_processor() → AsyncBatchProcessor | None ``` 기본 피드백 프로세서를 노출하기 위해 공식 TraceServerInterface에 정의되지 않은 맞춤형 방법입니다. 클라이언트 측 인터페이스로 정식화해야 합니다. *** ### 방법 `image_create` ```python theme={null} image_create(req: ImageGenerationCreateReq) → ImageGenerationCreateRes ``` *** ### 방법 `model_create` ```python theme={null} model_create(req: ModelCreateReq) → ModelCreateRes ``` *** ### 방법 `model_delete` ```python theme={null} model_delete(req: ModelDeleteReq) → ModelDeleteRes ``` *** ### 방법 `model_list` ```python theme={null} model_list(req: ModelListReq) → Iterator[ModelReadRes] ``` *** ### 방법 `model_read` ```python theme={null} model_read(req: ModelReadReq) → ModelReadRes ``` *** ### 방법 `obj_add_tags` ```python theme={null} obj_add_tags(req: ObjAddTagsReq) → ObjAddTagsRes ``` *** ### 방법 `obj_create` ```python theme={null} obj_create(req: ObjCreateReq) → ObjCreateRes ``` *** ### 방법 `obj_delete` ```python theme={null} obj_delete(req: ObjDeleteReq) → ObjDeleteRes ``` *** ### 방법 `obj_read` ```python theme={null} obj_read(req: ObjReadReq) → ObjReadRes ``` *** ### 방법 `obj_remove_aliases` ```python theme={null} obj_remove_aliases(req: ObjRemoveAliasesReq) → ObjRemoveAliasesRes ``` *** ### 방법 `obj_remove_tags` ```python theme={null} obj_remove_tags(req: ObjRemoveTagsReq) → ObjRemoveTagsRes ``` *** ### 방법 `obj_set_aliases` ```python theme={null} obj_set_aliases(req: ObjSetAliasesReq) → ObjSetAliasesRes ``` *** ### 방법 `objs_query` ```python theme={null} objs_query(req: ObjQueryReq) → ObjQueryRes ``` *** ### 방법 `op_create` ```python theme={null} op_create(req: OpCreateReq) → OpCreateRes ``` *** ### 방법 `op_delete` ```python theme={null} op_delete(req: OpDeleteReq) → OpDeleteRes ``` *** ### 방법 `op_list` ```python theme={null} op_list(req: OpListReq) → Iterator[OpReadRes] ``` *** ### 방법 `op_read` ```python theme={null} op_read(req: OpReadReq) → OpReadRes ``` *** ### 방법 `otel_export` ```python theme={null} otel_export(req: OTelExportReq) → OTelExportRes ``` *** ### 방법 `post` ```python theme={null} post( url: str, *args: Any, trace_id: str | None = None, **kwargs: Any ) → Response ``` *** ### 방법 `prediction_create` ```python theme={null} prediction_create(req: PredictionCreateReq) → PredictionCreateRes ``` *** ### 방법 `prediction_delete` ```python theme={null} prediction_delete(req: PredictionDeleteReq) → PredictionDeleteRes ``` *** ### 방법 `prediction_finish` ```python theme={null} prediction_finish(req: PredictionFinishReq) → PredictionFinishRes ``` *** ### 방법 `prediction_list` ```python theme={null} prediction_list(req: PredictionListReq) → Iterator[PredictionReadRes] ``` *** ### 방법 `prediction_read` ```python theme={null} prediction_read(req: PredictionReadReq) → PredictionReadRes ``` *** ### 방법 `project_stats` ```python theme={null} project_stats(req: ProjectStatsReq) → ProjectStatsRes ``` *** ### 방법 `project_ttl_settings_read` ```python theme={null} project_ttl_settings_read( req: ProjectTTLSettingsReadReq ) → ProjectTTLSettingsReadRes ``` *** ### 방법 `project_ttl_settings_update` ```python theme={null} project_ttl_settings_update( req: ProjectTTLSettingsUpdateReq ) → ProjectTTLSettingsUpdateRes ``` *** ### 방법 `projects_info` ```python theme={null} projects_info(req: ProjectsInfoReq) → list[ProjectsInfoRes] ``` *** ### 방법 `put` ```python theme={null} put(url: str, *args: Any, **kwargs: Any) → Response ``` *** ### 방법 `refs_read_batch` ```python theme={null} refs_read_batch(req: RefsReadBatchReq) → RefsReadBatchRes ``` *** ### 방법 `rescore` ```python theme={null} rescore(req: RescoreReq) → RescoreRes ``` *** ### 방법 `score_create` ```python theme={null} score_create(req: ScoreCreateReq) → ScoreCreateRes ``` *** ### 방법 `score_delete` ```python theme={null} score_delete(req: ScoreDeleteReq) → ScoreDeleteRes ``` *** ### 방법 `score_list` ```python theme={null} score_list(req: ScoreListReq) → Iterator[ScoreReadRes] ``` *** ### 방법 `score_read` ```python theme={null} score_read(req: ScoreReadReq) → ScoreReadRes ``` *** ### 방법 `scorer_create` ```python theme={null} scorer_create(req: ScorerCreateReq) → ScorerCreateRes ``` *** ### 방법 `scorer_delete` ```python theme={null} scorer_delete(req: ScorerDeleteReq) → ScorerDeleteRes ``` *** ### 방법 `scorer_list` ```python theme={null} scorer_list(req: ScorerListReq) → Iterator[ScorerReadRes] ``` *** ### 방법 `scorer_read` ```python theme={null} scorer_read(req: ScorerReadReq) → ScorerReadRes ``` *** ### 방법 `server_info` ```python theme={null} server_info() → ServerInfoRes ``` *** ### 방법 `set_auth` ```python theme={null} set_auth(auth: tuple[str, str]) → None ``` *** ### 방법 `source_datasets_query` ```python theme={null} source_datasets_query(req: SourceDatasetsQueryReq) → SourceDatasetsQueryRes ``` *** ### 방법 `table_create` ```python theme={null} table_create(req: TableCreateReq) → TableCreateRes ``` *** ### 방법 `table_create_from_digests` ```python theme={null} table_create_from_digests( req: TableCreateFromDigestsReq ) → TableCreateFromDigestsRes ``` 실제 행 대신 행 다이제스트를 지정해 테이블을 생성합니다. *** ### 방법 `table_query` ```python theme={null} table_query(req: TableQueryReq) → TableQueryRes ``` *** ### 방법 `table_query_stats` ```python theme={null} table_query_stats(req: TableQueryStatsReq) → TableQueryStatsRes ``` *** ### 방법 `table_query_stats_batch` ```python theme={null} table_query_stats_batch(req: TableQueryStatsReq) → TableQueryStatsRes ``` *** ### 방법 `table_query_stream` ```python theme={null} table_query_stream(req: TableQueryReq) → Iterator[TableRowSchema] ``` *** ### 방법 `table_update` ```python theme={null} table_update(req: TableUpdateReq) → TableUpdateRes ``` `calls/batch_upsert`와 마찬가지로, 테이블 업데이트를 여러 업데이트로 나눌 수 있는 속성 덕분에 페이로드 크기를 동적으로 조정할 수 있습니다. *** ### 방법 `tags_list` ```python theme={null} tags_list(req: TagsListReq) → TagsListRes ``` *** ### 방법 `threads_query_stream` ```python theme={null} threads_query_stream(req: ThreadsQueryReq) → Iterator[ThreadSchema] ``` *** ### 방법 `trace_usage` ```python theme={null} trace_usage(req: TraceUsageReq) → TraceUsageRes ```