> ## Documentation Index
> Fetch the complete documentation index at: https://wb-21fd5541-workspaces-notebooks.mintlify.site/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
```