API 개요

`class` `ActionsExecuteBatchReq`

Pydantic 필드:

project_id: <class 'str'>
action_ref: <class 'str'>
call_ids: list[str]
wb_user_id: str | None

`class` `ActionsExecuteBatchRes`

`class` `AnnotationQueueAddCallsReq`

annotation queue에 call을 일괄 추가하기 위한 요청입니다. 내부 API 사용을 위해 queue_id를 추가하여 AnnotationQueueAddCallsBody를 확장합니다. Pydantic 필드:

project_id: <class 'str'>
call_ids: list[str]
display_fields: list[str]
queue_id: <class 'str'>
wb_user_id: str | None

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`class` `AnnotationQueueAddCallsRes`

queue에 call을 추가한 결과에 대한 응답입니다. Pydantic 필드:

added_count: <class 'int'>
duplicates: <class 'int'>

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`class` `AnnotationQueueCreateReq`

새로운 annotation queue를 생성하기 위한 요청입니다. Pydantic 필드:

project_id: <class 'str'>
name: <class 'str'>
description: <class 'str'>
scorer_refs: list[str]
wb_user_id: str | None

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`class` `AnnotationQueueCreateRes`

annotation queue 생성 결과에 대한 응답입니다. Pydantic 필드:

id: <class 'str'>

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`class` `AnnotationQueueItemSchema`

annotation queue 아이템 응답을 위한 스키마입니다. Pydantic 필드:

id: <class 'str'>
project_id: <class 'str'>
queue_id: <class 'str'>
call_id: <class 'str'>
call_started_at: <class 'datetime.datetime'>
call_ended_at: datetime.datetime | None
call_op_name: <class 'str'>
call_trace_id: <class 'str'>
display_fields: list[str]
added_by: str | None
annotation_state: typing.Literal['unstarted', 'in_progress', 'completed', 'skipped']
annotator_user_id: str | None
created_at: <class 'datetime.datetime'>
created_by: <class 'str'>
updated_at: <class 'datetime.datetime'>
deleted_at: datetime.datetime | None
position_in_queue: int | None

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`class` `AnnotationQueueItemsQueryReq`

annotation queue의 아이템을 쿼리하기 위한 요청입니다. 내부 API 사용을 위해 queue_id를 추가하여 AnnotationQueueItemsQueryBody를 확장합니다. Pydantic 필드:

project_id: <class 'str'>
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: <class 'bool'>
queue_id: <class 'str'>

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`class` `AnnotationQueueItemsQueryRes`

annotation queue 아이템 쿼리 결과에 대한 응답입니다. Pydantic 필드:

items: list[AnnotationQueueItemSchema]

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`class` `AnnotationQueueReadReq`

특정 annotation queue를 읽기 위한 요청입니다. Pydantic 필드:

project_id: <class 'str'>
queue_id: <class 'str'>

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`class` `AnnotationQueueReadRes`

annotation queue를 읽은 결과에 대한 응답입니다. Pydantic 필드:

queue: <class 'AnnotationQueueSchema'>

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`class` `AnnotationQueueSchema`

annotation queue 응답을 위한 스키마입니다. Pydantic 필드:

id: <class 'str'>
project_id: <class 'str'>
name: <class 'str'>
description: <class 'str'>
scorer_refs: list[str]
created_at: <class 'datetime.datetime'>
created_by: <class 'str'>
updated_at: <class 'datetime.datetime'>
deleted_at: datetime.datetime | None

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`class` `AnnotationQueueStatsSchema`

단일 annotation queue에 대한 통계 정보입니다. Pydantic 필드:

queue_id: <class 'str'>
total_items: <class 'int'>
completed_items: <class 'int'>

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`class` `AnnotationQueuesQueryReq`

프로젝트의 annotation queue들을 쿼리하기 위한 요청입니다. Pydantic 필드:

project_id: <class 'str'>
name: str | None
sort_by: list[weave.trace_server.common_interface.SortBy] | None
limit: int | None
offset: int | None

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`class` `AnnotationQueuesQueryRes`

annotation queue 쿼리 결과에 대한 응답입니다. Pydantic 필드:

queues: list[AnnotationQueueSchema]

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`class` `AnnotationQueuesStatsReq`

여러 annotation queue에 대한 통계를 가져오기 위한 요청입니다. Pydantic 필드:

project_id: <class 'str'>
queue_ids: list[str]

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`class` `AnnotationQueuesStatsRes`

여러 annotation queue에 대한 통계 결과 응답입니다. Pydantic 필드:

stats: list[AnnotationQueueStatsSchema]

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`class` `AnnotatorQueueItemsProgressUpdateReq`

현재 annotator에 대해 queue 아이템의 annotation 상태를 업데이트하기 위한 요청입니다. 유효한 상태 전환:

(없음) -> ‘in_progress’: 아이템을 진행 중으로 표시 (레코드가 없을 때만 가능)
(없음) -> ‘completed’ 또는 ‘skipped’: 아이템을 즉시 완료/건너뜀
‘in_progress’ 또는 ‘unstarted’ -> ‘completed’ 또는 ‘skipped’: 시작된 아이템 완료/건너뜀

Pydantic 필드:

project_id: <class 'str'>
queue_id: <class 'str'>
item_id: <class 'str'>
annotation_state: <class 'str'>
wb_user_id: str | None

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`class` `AnnotatorQueueItemsProgressUpdateRes`

annotation 상태 업데이트 결과에 대한 응답입니다. Pydantic 필드:

item: <class 'AnnotationQueueItemSchema'>

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`class` `CallBatchEndMode`

Pydantic 필드:

mode: <class 'str'>
req: <class 'CallEndReq'>

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`class` `CallBatchStartMode`

Pydantic 필드:

mode: <class 'str'>
req: <class 'CallStartReq'>

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`class` `CallCreateBatchReq`

Pydantic 필드:

batch: list[CallBatchStartMode | CallBatchEndMode]

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`class` `CallCreateBatchRes`

Pydantic 필드:

res: list[CallStartRes | CallEndRes]

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`class` `CallEndReq`

Pydantic 필드:

end: <class 'EndedCallSchemaForInsert'>

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`class` `CallEndRes`

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`class` `CallReadReq`

Pydantic 필드:

project_id: <class 'str'>
id: <class 'str'>
include_costs: bool | None
include_storage_size: bool | None
include_total_storage_size: bool | None

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`class` `CallReadRes`

Pydantic 필드:

call: CallSchema | None

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`class` `CallSchema`

Pydantic 필드:

id: <class 'str'>
project_id: <class 'str'>
op_name: <class 'str'>
display_name: str | None
trace_id: <class 'str'>
parent_id: str | None
thread_id: str | None
turn_id: str | None
started_at: <class 'datetime.datetime'>
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_run_id: str | None
wb_run_step: int | None
wb_run_step_end: int | None
deleted_at: datetime.datetime | None
storage_size_bytes: int | None
total_storage_size_bytes: int | None

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`method` `serialize_typed_dicts`

serialize_typed_dicts(v: dict[str, Any]) → dict[str, Any]

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`class` `CallStartReq`

Pydantic 필드:

start: <class 'StartedCallSchemaForInsert'>

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`class` `CallStartRes`

Pydantic 필드:

id: <class 'str'>
trace_id: <class 'str'>

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`class` `CallUpdateReq`

Pydantic 필드:

project_id: <class 'str'>
call_id: <class 'str'>
display_name: str | None
wb_user_id: str | None

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`class` `CallUpdateRes`

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`class` `CallsDeleteReq`

Pydantic 필드:

project_id: <class 'str'>
call_ids: list[str]
wb_user_id: str | None

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`class` `CallsDeleteRes`

Pydantic 필드:

num_deleted: <class 'int'>

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`class` `CallsFilter`

Pydantic 필드:

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

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`class` `CallsQueryReq`

Pydantic 필드:

project_id: <class 'str'>
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
columns: list[str] | None
expand_columns: list[str] | None
return_expanded_column_values: bool | None

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`class` `CallsQueryRes`

Pydantic 필드:

calls: list[CallSchema]

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`class` `CallsQueryStatsReq`

Pydantic 필드:

project_id: <class 'str'>
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

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`class` `CallsQueryStatsRes`

Pydantic 필드:

count: <class 'int'>
total_storage_size_bytes: int | None

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`class` `CompletionsCreateReq`

Pydantic 필드:

project_id: <class 'str'>
inputs: <class 'CompletionsCreateRequestInputs'>
wb_user_id: str | None
track_llm_call: bool | None

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`class` `CompletionsCreateRequestInputs`

Pydantic 필드:

model: <class 'str'>
messages: <class 'list'>
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

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`class` `CompletionsCreateRes`

Pydantic 필드:

response: dict[str, typing.Any]
weave_call_id: str | None

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`class` `CostCreateInput`

Pydantic 필드:

prompt_token_cost: <class 'float'>
completion_token_cost: <class 'float'>
prompt_token_cost_unit: str | None
completion_token_cost_unit: str | None
effective_date: datetime.datetime | None
provider_id: str | None

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`class` `CostCreateReq`

Pydantic 필드:

project_id: <class 'str'>
costs: dict[str, CostCreateInput]
wb_user_id: str | None

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`class` `CostCreateRes`

Pydantic 필드:

ids: list[tuple[str, str]]

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`class` `CostPurgeReq`

Pydantic 필드:

project_id: <class 'str'>
query: <class 'weave.trace_server.interface.query.Query'>

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`class` `CostPurgeRes`

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`class` `CostQueryOutput`

Pydantic 필드:

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

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`class` `CostQueryReq`

Pydantic 필드:

project_id: <class 'str'>
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

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`class` `CostQueryRes`

Pydantic 필드:

results: list[CostQueryOutput]

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`class` `DatasetCreateBody`

Pydantic 필드:

name: str | None
description: str | None
rows: list[dict[str, typing.Any]]

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`class` `DatasetCreateReq`

Pydantic 필드:

name: str | None
description: str | None
rows: list[dict[str, typing.Any]]
project_id: <class 'str'>
wb_user_id: str | None

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`class` `DatasetCreateRes`

Pydantic 필드:

digest: <class 'str'>
object_id: <class 'str'>
version_index: <class 'int'>

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`class` `DatasetDeleteReq`

Pydantic 필드:

project_id: <class 'str'>
object_id: <class 'str'>
digests: list[str] | None
wb_user_id: str | None

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`class` `DatasetDeleteRes`

Pydantic 필드:

num_deleted: <class 'int'>

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`class` `DatasetListReq`

Pydantic 필드:

project_id: <class 'str'>
limit: int | None
offset: int | None
wb_user_id: str | None

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`class` `DatasetReadReq`

Pydantic 필드:

project_id: <class 'str'>
object_id: <class 'str'>
digest: <class 'str'>
wb_user_id: str | None

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`class` `DatasetReadRes`

Pydantic 필드:

object_id: <class 'str'>
digest: <class 'str'>
version_index: <class 'int'>
created_at: <class 'datetime.datetime'>
name: <class 'str'>
description: str | None
rows: <class 'str'>

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`class` `EndedCallSchemaForInsert`

Pydantic 필드:

project_id: <class 'str'>
id: <class 'str'>
ended_at: <class 'datetime.datetime'>
exception: str | None
output: typing.Any | None
summary: <class 'SummaryInsertMap'>
wb_run_step_end: int | None

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`method` `serialize_typed_dicts`

serialize_typed_dicts(v: dict[str, Any]) → dict[str, Any]

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`class` `EnsureProjectExistsRes`

Pydantic 필드:

project_name: <class 'str'>

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`class` `EvaluateModelReq`

Pydantic 필드:

project_id: <class 'str'>
evaluation_ref: <class 'str'>
model_ref: <class 'str'>
wb_user_id: str | None

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`class` `EvaluateModelRes`

Pydantic 필드:

call_id: <class 'str'>

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`class` `EvaluationCreateBody`

Pydantic 필드:

name: <class 'str'>
description: str | None
dataset: <class 'str'>
scorers: list[str] | None
trials: <class 'int'>
evaluation_name: str | None
eval_attributes: dict[str, typing.Any] | None

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`class` `EvaluationCreateReq`

Pydantic 필드:

name: <class 'str'>
description: str | None
dataset: <class 'str'>
scorers: list[str] | None
trials: <class 'int'>
evaluation_name: str | None
eval_attributes: dict[str, typing.Any] | None
project_id: <class 'str'>
wb_user_id: str | None

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`class` `EvaluationCreateRes`

Pydantic 필드:

digest: <class 'str'>
object_id: <class 'str'>
version_index: <class 'int'>
evaluation_ref: <class 'str'>

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`class` `EvaluationDeleteReq`

Pydantic 필드:

project_id: <class 'str'>
object_id: <class 'str'>
digests: list[str] | None
wb_user_id: str | None

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`class` `EvaluationDeleteRes`

Pydantic 필드:

num_deleted: <class 'int'>

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`class` `EvaluationListReq`

Pydantic 필드:

project_id: <class 'str'>
limit: int | None
offset: int | None
wb_user_id: str | None

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`class` `EvaluationReadReq`

Pydantic 필드:

project_id: <class 'str'>
object_id: <class 'str'>
digest: <class 'str'>
wb_user_id: str | None

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`class` `EvaluationReadRes`

Pydantic 필드:

object_id: <class 'str'>
digest: <class 'str'>
version_index: <class 'int'>
created_at: <class 'datetime.datetime'>
name: <class 'str'>
description: str | None
dataset: <class 'str'>
scorers: list[str]
trials: <class 'int'>
evaluation_name: str | None
evaluate_op: str | None
predict_and_score_op: str | None
summarize_op: str | None

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`class` `EvaluationRunCreateBody`

Pydantic 필드:

evaluation: <class 'str'>
model: <class 'str'>

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`class` `EvaluationRunCreateReq`

Pydantic 필드:

evaluation: <class 'str'>
model: <class 'str'>
project_id: <class 'str'>
wb_user_id: str | None

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`class` `EvaluationRunCreateRes`

Pydantic 필드:

evaluation_run_id: <class 'str'>

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`class` `EvaluationRunDeleteReq`

Pydantic 필드:

project_id: <class 'str'>
evaluation_run_ids: list[str]
wb_user_id: str | None

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`class` `EvaluationRunDeleteRes`

Pydantic 필드:

num_deleted: <class 'int'>

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`class` `EvaluationRunFilter`

Pydantic 필드:

evaluations: list[str] | None
models: list[str] | None
evaluation_run_ids: list[str] | None

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`class` `EvaluationRunFinishBody`

REST API를 통해 evaluation run을 종료하기 위한 요청 본문입니다. 이 모델은 RESTful 엔드포인트의 URL 경로에서 project_id와 evaluation_run_id를 가져오므로 이를 제외합니다. Pydantic 필드:

summary: dict[str, typing.Any] | None

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`class` `EvaluationRunFinishReq`

Pydantic 필드:

summary: dict[str, typing.Any] | None
project_id: <class 'str'>
evaluation_run_id: <class 'str'>
wb_user_id: str | None

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`class` `EvaluationRunFinishRes`

Pydantic 필드:

success: <class 'bool'>

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`class` `EvaluationRunListReq`

Pydantic 필드:

project_id: <class 'str'>
filter: EvaluationRunFilter | None
limit: int | None
offset: int | None

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`class` `EvaluationRunReadReq`

Pydantic 필드:

project_id: <class 'str'>
evaluation_run_id: <class 'str'>

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`class` `EvaluationRunReadRes`

Pydantic 필드:

evaluation_run_id: <class 'str'>
evaluation: <class 'str'>
model: <class 'str'>
status: str | None
started_at: datetime.datetime | None
finished_at: datetime.datetime | None
summary: dict[str, typing.Any] | None

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`class` `EvaluationStatusComplete`

Pydantic 필드:

code: typing.Literal['complete']
output: dict[str, typing.Any]

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`class` `EvaluationStatusFailed`

Pydantic 필드:

code: typing.Literal['failed']
error: str | None

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`class` `EvaluationStatusNotFound`

Pydantic 필드:

code: typing.Literal['not_found']

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`class` `EvaluationStatusReq`

Pydantic 필드:

project_id: <class 'str'>
call_id: <class 'str'>

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`class` `EvaluationStatusRes`

Pydantic 필드:

status: EvaluationStatusNotFound | EvaluationStatusRunning | EvaluationStatusFailed | EvaluationStatusComplete

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`class` `EvaluationStatusRunning`

Pydantic 필드:

code: typing.Literal['running']
completed_rows: <class 'int'>
total_rows: <class 'int'>

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`class` `ExportTracePartialSuccess`

Pydantic 필드:

rejected_spans: <class 'int'>
error_message: <class 'str'>

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`class` `ExtraKeysTypedDict`

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`class` `Feedback`

Pydantic 필드:

id: <class 'str'>
project_id: <class 'str'>
weave_ref: <class 'str'>
creator: str | None
feedback_type: <class 'str'>
payload: dict[str, typing.Any]
annotation_ref: str | None
runnable_ref: str | None
call_ref: str | None
trigger_ref: str | None
wb_user_id: str | None
created_at: <class 'datetime.datetime'>

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`class` `FeedbackCreateBatchReq`

Pydantic 필드:

batch: list[FeedbackCreateReq]

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`class` `FeedbackCreateBatchRes`

Pydantic 필드:

res: list[FeedbackCreateRes]

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`class` `FeedbackCreateReq`

Pydantic 필드:

id: str | None
project_id: <class 'str'>
weave_ref: <class 'str'>
creator: str | None
feedback_type: <class 'str'>
payload: dict[str, typing.Any]
annotation_ref: str | None
runnable_ref: str | None
call_ref: str | None
trigger_ref: str | None
wb_user_id: str | None

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`class` `FeedbackCreateRes`

Pydantic 필드:

id: <class 'str'>
created_at: <class 'datetime.datetime'>
wb_user_id: <class 'str'>
payload: dict[str, typing.Any]

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`class` `FeedbackDict`

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`class` `FeedbackPurgeReq`

Pydantic 필드:

project_id: <class 'str'>
query: <class 'weave.trace_server.interface.query.Query'>

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`class` `FeedbackPurgeRes`

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`class` `FeedbackQueryReq`

Pydantic 필드:

project_id: <class 'str'>
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

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`class` `FeedbackQueryRes`

Pydantic 필드:

result: list[dict[str, typing.Any]]

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`class` `FeedbackReplaceReq`

Pydantic 필드:

id: str | None
project_id: <class 'str'>
weave_ref: <class 'str'>
creator: str | None
feedback_type: <class 'str'>
payload: dict[str, typing.Any]
annotation_ref: str | None
runnable_ref: str | None
call_ref: str | None
trigger_ref: str | None
wb_user_id: str | None
feedback_id: <class 'str'>

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`class` `FeedbackReplaceRes`

Pydantic 필드:

id: <class 'str'>
created_at: <class 'datetime.datetime'>
wb_user_id: <class 'str'>
payload: dict[str, typing.Any]

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`class` `FileContentReadReq`

Pydantic 필드:

project_id: <class 'str'>
digest: <class 'str'>

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`class` `FileContentReadRes`

Pydantic 필드:

content: <class 'bytes'>

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`class` `FileCreateReq`

Pydantic 필드:

project_id: <class 'str'>
name: <class 'str'>
content: <class 'bytes'>

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`class` `FileCreateRes`

Pydantic 필드:

digest: <class 'str'>

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`class` `FilesStatsReq`

Pydantic 필드:

project_id: <class 'str'>

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`class` `FilesStatsRes`

Pydantic 필드:

total_size_bytes: <class 'int'>

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`class` `FullTraceServerInterface`

V1 및 Object API를 모두 지원하는 전체 trace server 인터페이스입니다. 이 프로토콜은 레거시 V1 엔드포인트와 최신 Object 엔드포인트를 포함한 모든 API 세트를 지원하는 trace server 구현을 나타냅니다. 두 API 버전을 모두 지원해야 하는 구현체에 이 타입을 사용합니다.

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`method` `actions_execute_batch`

actions_execute_batch(req: ActionsExecuteBatchReq) → ActionsExecuteBatchRes

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`method` `annotation_queue_add_calls`

annotation_queue_add_calls(
    req: AnnotationQueueAddCallsReq
) → AnnotationQueueAddCallsRes

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`method` `annotation_queue_create`

annotation_queue_create(
    req: AnnotationQueueCreateReq
) → AnnotationQueueCreateRes

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`method` `annotation_queue_items_query`

annotation_queue_items_query(
    req: AnnotationQueueItemsQueryReq
) → AnnotationQueueItemsQueryRes

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`method` `annotation_queue_read`

annotation_queue_read(req: AnnotationQueueReadReq) → AnnotationQueueReadRes

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`method` `annotation_queues_query_stream`

annotation_queues_query_stream(
    req: AnnotationQueuesQueryReq
) → Iterator[AnnotationQueueSchema]

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`method` `annotation_queues_stats`

annotation_queues_stats(
    req: AnnotationQueuesStatsReq
) → AnnotationQueuesStatsRes

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`method` `annotator_queue_items_progress_update`

annotator_queue_items_progress_update(
    req: AnnotatorQueueItemsProgressUpdateReq
) → AnnotatorQueueItemsProgressUpdateRes

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`method` `call_end`

call_end(req: CallEndReq) → CallEndRes

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`method` `call_read`

call_read(req: CallReadReq) → CallReadRes

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`method` `call_start`

call_start(req: CallStartReq) → CallStartRes

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`method` `call_start_batch`

call_start_batch(req: CallCreateBatchReq) → CallCreateBatchRes

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`method` `call_update`

call_update(req: CallUpdateReq) → CallUpdateRes

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`method` `calls_delete`

calls_delete(req: CallsDeleteReq) → CallsDeleteRes

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`method` `calls_query`

calls_query(req: CallsQueryReq) → CallsQueryRes

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`method` `calls_query_stats`

calls_query_stats(req: CallsQueryStatsReq) → CallsQueryStatsRes

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`method` `calls_query_stream`

calls_query_stream(req: CallsQueryReq) → Iterator[CallSchema]

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`method` `completions_create`

completions_create(req: CompletionsCreateReq) → CompletionsCreateRes

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`method` `completions_create_stream`

completions_create_stream(req: CompletionsCreateReq) → Iterator[dict[str, Any]]

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`method` `cost_create`

cost_create(req: CostCreateReq) → CostCreateRes

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`method` `cost_purge`

cost_purge(req: CostPurgeReq) → CostPurgeRes

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`method` `cost_query`

cost_query(req: CostQueryReq) → CostQueryRes

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`method` `dataset_create`

dataset_create(req: DatasetCreateReq) → DatasetCreateRes

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`method` `dataset_delete`

dataset_delete(req: DatasetDeleteReq) → DatasetDeleteRes

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`method` `dataset_list`

dataset_list(req: DatasetListReq) → Iterator[DatasetReadRes]

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`method` `dataset_read`

dataset_read(req: DatasetReadReq) → DatasetReadRes

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`method` `ensure_project_exists`

ensure_project_exists(entity: str, project: str) → EnsureProjectExistsRes

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`method` `evaluate_model`

evaluate_model(req: EvaluateModelReq) → EvaluateModelRes

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`method` `evaluation_create`

evaluation_create(req: EvaluationCreateReq) → EvaluationCreateRes

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`method` `evaluation_delete`

evaluation_delete(req: EvaluationDeleteReq) → EvaluationDeleteRes

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`method` `evaluation_list`

evaluation_list(req: EvaluationListReq) → Iterator[EvaluationReadRes]

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`method` `evaluation_read`

evaluation_read(req: EvaluationReadReq) → EvaluationReadRes

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`method` `evaluation_run_create`

evaluation_run_create(req: EvaluationRunCreateReq) → EvaluationRunCreateRes

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`method` `evaluation_run_delete`

evaluation_run_delete(req: EvaluationRunDeleteReq) → EvaluationRunDeleteRes

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`method` `evaluation_run_finish`

evaluation_run_finish(req: EvaluationRunFinishReq) → EvaluationRunFinishRes

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`method` `evaluation_run_list`

evaluation_run_list(req: EvaluationRunListReq) → Iterator[EvaluationRunReadRes]

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`method` `evaluation_run_read`

evaluation_run_read(req: EvaluationRunReadReq) → EvaluationRunReadRes

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`method` `evaluation_status`

evaluation_status(req: EvaluationStatusReq) → EvaluationStatusRes

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`method` `feedback_create`

feedback_create(req: FeedbackCreateReq) → FeedbackCreateRes

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`method` `feedback_create_batch`

feedback_create_batch(req: FeedbackCreateBatchReq) → FeedbackCreateBatchRes

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`method` `feedback_purge`

feedback_purge(req: FeedbackPurgeReq) → FeedbackPurgeRes

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`method` `feedback_query`

feedback_query(req: FeedbackQueryReq) → FeedbackQueryRes

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`method` `feedback_replace`

feedback_replace(req: FeedbackReplaceReq) → FeedbackReplaceRes

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`method` `file_content_read`

file_content_read(req: FileContentReadReq) → FileContentReadRes

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`method` `file_create`

file_create(req: FileCreateReq) → FileCreateRes

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`method` `files_stats`

files_stats(req: FilesStatsReq) → FilesStatsRes

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`method` `image_create`

image_create(req: ImageGenerationCreateReq) → ImageGenerationCreateRes

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`method` `model_create`

model_create(req: ModelCreateReq) → ModelCreateRes

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`method` `model_delete`

model_delete(req: ModelDeleteReq) → ModelDeleteRes

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`method` `model_list`

model_list(req: ModelListReq) → Iterator[ModelReadRes]

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`method` `model_read`

model_read(req: ModelReadReq) → ModelReadRes

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`method` `obj_create`

obj_create(req: ObjCreateReq) → ObjCreateRes

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`method` `obj_delete`

obj_delete(req: ObjDeleteReq) → ObjDeleteRes

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`method` `obj_read`

obj_read(req: ObjReadReq) → ObjReadRes

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`method` `objs_query`

objs_query(req: ObjQueryReq) → ObjQueryRes

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`method` `op_create`

op_create(req: OpCreateReq) → OpCreateRes

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`method` `op_delete`

op_delete(req: OpDeleteReq) → OpDeleteRes

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`method` `op_list`

op_list(req: OpListReq) → Iterator[OpReadRes]

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`method` `op_read`

op_read(req: OpReadReq) → OpReadRes

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`method` `otel_export`

otel_export(req: OtelExportReq) → OtelExportRes

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`method` `prediction_create`

prediction_create(req: PredictionCreateReq) → PredictionCreateRes

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`method` `prediction_delete`

prediction_delete(req: PredictionDeleteReq) → PredictionDeleteRes

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`method` `prediction_finish`

prediction_finish(req: PredictionFinishReq) → PredictionFinishRes

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`method` `prediction_list`

prediction_list(req: PredictionListReq) → Iterator[PredictionReadRes]

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`method` `prediction_read`

prediction_read(req: PredictionReadReq) → PredictionReadRes

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`method` `project_stats`

project_stats(req: ProjectStatsReq) → ProjectStatsRes

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`method` `refs_read_batch`

refs_read_batch(req: RefsReadBatchReq) → RefsReadBatchRes

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`method` `score_create`

score_create(req: ScoreCreateReq) → ScoreCreateRes

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`method` `score_delete`

score_delete(req: ScoreDeleteReq) → ScoreDeleteRes

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`method` `score_list`

score_list(req: ScoreListReq) → Iterator[ScoreReadRes]

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`method` `score_read`

score_read(req: ScoreReadReq) → ScoreReadRes

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`method` `scorer_create`

scorer_create(req: ScorerCreateReq) → ScorerCreateRes

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`method` `scorer_delete`

scorer_delete(req: ScorerDeleteReq) → ScorerDeleteRes

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`method` `scorer_list`

scorer_list(req: ScorerListReq) → Iterator[ScorerReadRes]

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`method` `scorer_read`

scorer_read(req: ScorerReadReq) → ScorerReadRes

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`method` `table_create`

table_create(req: TableCreateReq) → TableCreateRes

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`method` `table_create_from_digests`

table_create_from_digests(
    req: TableCreateFromDigestsReq
) → TableCreateFromDigestsRes

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`method` `table_query`

table_query(req: TableQueryReq) → TableQueryRes

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`method` `table_query_stats`

table_query_stats(req: TableQueryStatsReq) → TableQueryStatsRes

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`method` `table_query_stats_batch`

table_query_stats_batch(req: TableQueryStatsBatchReq) → TableQueryStatsBatchRes

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`method` `table_query_stream`

table_query_stream(req: TableQueryReq) → Iterator[TableRowSchema]

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`method` `table_update`

table_update(req: TableUpdateReq) → TableUpdateRes

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`method` `threads_query_stream`

threads_query_stream(req: ThreadsQueryReq) → Iterator[ThreadSchema]

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`class` `ImageGenerationCreateReq`

Pydantic 필드:

project_id: <class 'str'>
inputs: <class 'ImageGenerationRequestInputs'>
wb_user_id: str | None
track_llm_call: bool | None

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`class` `ImageGenerationCreateRes`

Pydantic 필드:

response: dict[str, typing.Any]
weave_call_id: str | None

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`class` `ImageGenerationRequestInputs`

Pydantic 필드:

model: <class 'str'>
prompt: <class 'str'>
n: int | None

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`class` `LLMCostSchema`

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`class` `LLMUsageSchema`

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`class` `ModelCreateBody`

Pydantic 필드:

name: <class 'str'>
description: str | None
source_code: <class 'str'>
attributes: dict[str, typing.Any] | None

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`class` `ModelCreateReq`

Pydantic 필드:

name: <class 'str'>
description: str | None
source_code: <class 'str'>
attributes: dict[str, typing.Any] | None
project_id: <class 'str'>
wb_user_id: str | None

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`class` `ModelCreateRes`

Pydantic 필드:

digest: <class 'str'>
object_id: <class 'str'>
version_index: <class 'int'>
model_ref: <class 'str'>

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`class` `ModelDeleteReq`

Pydantic 필드:

project_id: <class 'str'>
object_id: <class 'str'>
digests: list[str] | None
wb_user_id: str | None

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`class` `ModelDeleteRes`

Pydantic 필드:

num_deleted: <class 'int'>

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`class` `ModelListReq`

Pydantic 필드:

project_id: <class 'str'>
limit: int | None
offset: int | None

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`class` `ModelReadReq`

Pydantic 필드:

project_id: <class 'str'>
object_id: <class 'str'>
digest: <class 'str'>

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`class` `ModelReadRes`

Pydantic 필드:

object_id: <class 'str'>
digest: <class 'str'>
version_index: <class 'int'>
created_at: <class 'datetime.datetime'>
name: <class 'str'>
description: str | None
source_code: <class 'str'>
attributes: dict[str, typing.Any] | None

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`class` `ObjCreateReq`

Pydantic 필드:

obj: <class 'ObjSchemaForInsert'>

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`class` `ObjCreateRes`

Pydantic 필드:

digest: <class 'str'>
object_id: str | None

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`class` `ObjDeleteReq`

Pydantic 필드:

project_id: <class 'str'>
object_id: <class 'str'>
digests: list[str] | None

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`class` `ObjDeleteRes`

Pydantic 필드:

num_deleted: <class 'int'>

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`class` `ObjQueryReq`

Pydantic 필드:

project_id: <class 'str'>
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

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`class` `ObjQueryRes`

Pydantic 필드:

objs: list[ObjSchema]

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`class` `ObjReadReq`

Pydantic 필드:

project_id: <class 'str'>
object_id: <class 'str'>
digest: <class 'str'>
metadata_only: bool | None

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`class` `ObjReadRes`

Pydantic 필드:

obj: <class 'ObjSchema'>

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`class` `ObjSchema`

Pydantic 필드:

project_id: <class 'str'>
object_id: <class 'str'>
created_at: <class 'datetime.datetime'>
deleted_at: datetime.datetime | None
digest: <class 'str'>
version_index: <class 'int'>
is_latest: <class 'int'>
kind: <class 'str'>
base_object_class: str | None
leaf_object_class: str | None
val: typing.Any
wb_user_id: str | None
size_bytes: int | None

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`class` `ObjSchemaForInsert`

Pydantic 필드:

project_id: <class 'str'>
object_id: <class 'str'>
val: typing.Any
builtin_object_class: str | None
set_base_object_class: str | None
wb_user_id: str | None

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`method` `model_post_init`

model_post_init(_ObjSchemaForInsert__context: Any) → None

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`class` `ObjectInterface`

Trace Server를 위한 Object API 엔드포인트입니다. 이 프로토콜은 더 깔끔하고 RESTful한 인터페이스를 제공하는 오브젝트 관리 API를 포함합니다. 하위 호환성 유지를 위해 구현체는 이 프로토콜과 TraceServerInterface를 모두 지원해야 합니다.

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`method` `dataset_create`

dataset_create(req: DatasetCreateReq) → DatasetCreateRes

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`method` `dataset_delete`

dataset_delete(req: DatasetDeleteReq) → DatasetDeleteRes

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`method` `dataset_list`

dataset_list(req: DatasetListReq) → Iterator[DatasetReadRes]

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`method` `dataset_read`

dataset_read(req: DatasetReadReq) → DatasetReadRes

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`method` `evaluation_create`

evaluation_create(req: EvaluationCreateReq) → EvaluationCreateRes

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`method` `evaluation_delete`

evaluation_delete(req: EvaluationDeleteReq) → EvaluationDeleteRes

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`method` `evaluation_list`

evaluation_list(req: EvaluationListReq) → Iterator[EvaluationReadRes]

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`method` `evaluation_read`

evaluation_read(req: EvaluationReadReq) → EvaluationReadRes

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`method` `evaluation_run_create`

evaluation_run_create(req: EvaluationRunCreateReq) → EvaluationRunCreateRes

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`method` `evaluation_run_delete`

evaluation_run_delete(req: EvaluationRunDeleteReq) → EvaluationRunDeleteRes

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`method` `evaluation_run_finish`

evaluation_run_finish(req: EvaluationRunFinishReq) → EvaluationRunFinishRes

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`method` `evaluation_run_list`

evaluation_run_list(req: EvaluationRunListReq) → Iterator[EvaluationRunReadRes]

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`method` `evaluation_run_read`

evaluation_run_read(req: EvaluationRunReadReq) → EvaluationRunReadRes

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`method` `model_create`

model_create(req: ModelCreateReq) → ModelCreateRes

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`method` `model_delete`

model_delete(req: ModelDeleteReq) → ModelDeleteRes

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`method` `model_list`

model_list(req: ModelListReq) → Iterator[ModelReadRes]

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`method` `model_read`

model_read(req: ModelReadReq) → ModelReadRes

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`method` `op_create`

op_create(req: OpCreateReq) → OpCreateRes

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`method` `op_delete`

op_delete(req: OpDeleteReq) → OpDeleteRes

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`method` `op_list`

op_list(req: OpListReq) → Iterator[OpReadRes]

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`method` `op_read`

op_read(req: OpReadReq) → OpReadRes

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`method` `prediction_create`

prediction_create(req: PredictionCreateReq) → PredictionCreateRes

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`method` `prediction_delete`

prediction_delete(req: PredictionDeleteReq) → PredictionDeleteRes

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`method` `prediction_finish`

prediction_finish(req: PredictionFinishReq) → PredictionFinishRes

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`method` `prediction_list`

prediction_list(req: PredictionListReq) → Iterator[PredictionReadRes]

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`method` `prediction_read`

prediction_read(req: PredictionReadReq) → PredictionReadRes

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`method` `score_create`

score_create(req: ScoreCreateReq) → ScoreCreateRes

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`method` `score_delete`

score_delete(req: ScoreDeleteReq) → ScoreDeleteRes

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`method` `score_list`

score_list(req: ScoreListReq) → Iterator[ScoreReadRes]

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`method` `score_read`

score_read(req: ScoreReadReq) → ScoreReadRes

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`method` `scorer_create`

scorer_create(req: ScorerCreateReq) → ScorerCreateRes

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`method` `scorer_delete`

scorer_delete(req: ScorerDeleteReq) → ScorerDeleteRes

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`method` `scorer_list`

scorer_list(req: ScorerListReq) → Iterator[ScorerReadRes]

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`method` `scorer_read`

scorer_read(req: ScorerReadReq) → ScorerReadRes

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`class` `ObjectVersionFilter`

Pydantic 필드:

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

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`class` `OpCreateBody`

REST API를 통해 Op 오브젝트를 생성하기 위한 요청 본문입니다. 이 모델은 RESTful 엔드포인트의 URL 경로에서 project_id를 가져오므로 이를 제외합니다. Pydantic 필드:

name: str | None
source_code: str | None

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`class` `OpCreateReq`

Op 오브젝트 생성을 위한 요청 모델입니다. 내부 API 사용을 위해 project_id를 추가하여 OpCreateBody를 확장합니다. Pydantic 필드:

name: str | None
source_code: str | None
project_id: <class 'str'>
wb_user_id: str | None

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`class` `OpCreateRes`

Op 오브젝트 생성에 대한 응답 모델입니다. Pydantic 필드:

digest: <class 'str'>
object_id: <class 'str'>
version_index: <class 'int'>

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`class` `OpDeleteReq`

Pydantic 필드:

project_id: <class 'str'>
object_id: <class 'str'>
digests: list[str] | None
wb_user_id: str | None

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`class` `OpDeleteRes`

Pydantic 필드:

num_deleted: <class 'int'>

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`class` `OpListReq`

Pydantic 필드:

project_id: <class 'str'>
limit: int | None
offset: int | None
wb_user_id: str | None

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`class` `OpReadReq`

Pydantic 필드:

project_id: <class 'str'>
object_id: <class 'str'>
digest: <class 'str'>
wb_user_id: str | None

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`class` `OpReadRes`

Op 오브젝트 읽기에 대한 응답 모델입니다. code 필드에는 op의 실제 소스 코드가 포함됩니다. Pydantic 필드:

object_id: <class 'str'>
digest: <class 'str'>
version_index: <class 'int'>
created_at: <class 'datetime.datetime'>
code: <class 'str'>

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`class` `OtelExportReq`

Pydantic 필드:

project_id: <class 'str'>
traces: typing.Any
wb_run_id: str | None
wb_user_id: str | None

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`class` `OtelExportRes`

Pydantic 필드:

partial_success: ExportTracePartialSuccess | None

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`class` `PredictionCreateBody`

REST API를 통해 Prediction을 생성하기 위한 요청 본문입니다. 이 모델은 RESTful 엔드포인트의 URL 경로에서 project_id를 가져오므로 이를 제외합니다. Pydantic 필드:

model: <class 'str'>
inputs: dict[str, typing.Any]
output: typing.Any
evaluation_run_id: str | None

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`class` `PredictionCreateReq`

Prediction 생성을 위한 요청 모델입니다. 내부 API 사용을 위해 project_id를 추가하여 PredictionCreateBody를 확장합니다. Pydantic 필드:

model: <class 'str'>
inputs: dict[str, typing.Any]
output: typing.Any
evaluation_run_id: str | None
project_id: <class 'str'>
wb_user_id: str | None

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`class` `PredictionCreateRes`

Pydantic 필드:

prediction_id: <class 'str'>

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`class` `PredictionDeleteReq`

Pydantic 필드:

project_id: <class 'str'>
prediction_ids: list[str]
wb_user_id: str | None

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`class` `PredictionDeleteRes`

Pydantic 필드:

num_deleted: <class 'int'>

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`class` `PredictionFinishReq`

Pydantic 필드:

project_id: <class 'str'>
prediction_id: <class 'str'>
wb_user_id: str | None

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`class` `PredictionFinishRes`

Pydantic 필드:

success: <class 'bool'>

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`class` `PredictionListReq`

Pydantic 필드:

project_id: <class 'str'>
evaluation_run_id: str | None
limit: int | None
offset: int | None
wb_user_id: str | None

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`class` `PredictionListRes`

Pydantic 필드:

predictions: list[PredictionReadRes]

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`class` `PredictionReadReq`

Pydantic 필드:

project_id: <class 'str'>
prediction_id: <class 'str'>
wb_user_id: str | None

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`class` `PredictionReadRes`

Pydantic 필드:

prediction_id: <class 'str'>
model: <class 'str'>
inputs: dict[str, typing.Any]
output: typing.Any
evaluation_run_id: str | None
wb_user_id: str | None

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`class` `ProjectStatsReq`

Pydantic 필드:

project_id: <class 'str'>
include_trace_storage_size: bool | None
include_object_storage_size: bool | None
include_table_storage_size: bool | None
include_file_storage_size: bool | None

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`class` `ProjectStatsRes`

Pydantic 필드:

trace_storage_size_bytes: <class 'int'>
objects_storage_size_bytes: <class 'int'>
tables_storage_size_bytes: <class 'int'>
files_storage_size_bytes: <class 'int'>

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`class` `RefsReadBatchReq`

Pydantic 필드:

refs: list[str]

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`class` `RefsReadBatchRes`

Pydantic 필드:

vals: list[typing.Any]

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`class` `ScoreCreateBody`

REST API를 통해 Score를 생성하기 위한 요청 본문입니다. 이 모델은 RESTful 엔드포인트의 URL 경로에서 project_id를 가져오므로 이를 제외합니다. Pydantic 필드:

prediction_id: <class 'str'>
scorer: <class 'str'>
value: <class 'float'>
evaluation_run_id: str | None

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`class` `ScoreCreateReq`

Score 생성을 위한 요청 모델입니다. 내부 API 사용을 위해 project_id를 추가하여 ScoreCreateBody를 확장합니다. Pydantic 필드:

prediction_id: <class 'str'>
scorer: <class 'str'>
value: <class 'float'>
evaluation_run_id: str | None
project_id: <class 'str'>
wb_user_id: str | None

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`class` `ScoreCreateRes`

Pydantic 필드:

score_id: <class 'str'>

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`class` `ScoreDeleteReq`

Pydantic 필드:

project_id: <class 'str'>
score_ids: list[str]
wb_user_id: str | None

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`class` `ScoreDeleteRes`

Pydantic 필드:

num_deleted: <class 'int'>

Source

`class` `ScoreListReq`

Pydantic 필드:

project_id: <class 'str'>
evaluation_run_id: str | None
limit: int | None
offset: int | None
wb_user_id: str | None

Source

`class` `ScoreReadReq`

Pydantic 필드:

project_id: <class 'str'>
score_id: <class 'str'>
wb_user_id: str | None

Source

`class` `ScoreReadRes`

Pydantic 필드:

score_id: <class 'str'>
scorer: <class 'str'>
value: <class 'float'>
evaluation_run_id: str | None
wb_user_id: str | None

Source

`class` `ScorerCreateBody`

Pydantic 필드:

name: <class 'str'>
description: str | None
op_source_code: <class 'str'>

Source

`class` `ScorerCreateReq`

Pydantic 필드:

name: <class 'str'>
description: str | None
op_source_code: <class 'str'>
project_id: <class 'str'>
wb_user_id: str | None

Source

`class` `ScorerCreateRes`

Pydantic 필드:

digest: <class 'str'>
object_id: <class 'str'>
version_index: <class 'int'>
scorer: <class 'str'>

Source

`class` `ScorerDeleteReq`

Pydantic 필드:

project_id: <class 'str'>
object_id: <class 'str'>
digests: list[str] | None
wb_user_id: str | None

Source

`class` `ScorerDeleteRes`

Pydantic 필드:

num_deleted: <class 'int'>

Source

`class` `ScorerListReq`

Pydantic 필드:

project_id: <class 'str'>
limit: int | None
offset: int | None
wb_user_id: str | None

Source

`class` `ScorerReadReq`

Pydantic 필드:

project_id: <class 'str'>
object_id: <class 'str'>
digest: <class 'str'>
wb_user_id: str | None

Source

`class` `ScorerReadRes`

Pydantic 필드:

object_id: <class 'str'>
digest: <class 'str'>
version_index: <class 'int'>
created_at: <class 'datetime.datetime'>
name: <class 'str'>
description: str | None
score_op: <class 'str'>

Source

`class` `StartedCallSchemaForInsert`

Pydantic 필드:

project_id: <class 'str'>
id: str | None
op_name: <class 'str'>
display_name: str | None
trace_id: str | None
parent_id: str | None
thread_id: str | None
turn_id: str | None
started_at: <class 'datetime.datetime'>
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

Source

`class` `SummaryInsertMap`

Source

`class` `SummaryMap`

Source

`class` `TableAppendSpec`

Pydantic 필드:

append: <class 'TableAppendSpecPayload'>

Source

`class` `TableAppendSpecPayload`

Pydantic 필드:

row: dict[str, typing.Any]

Source

`class` `TableCreateFromDigestsReq`

Pydantic 필드:

project_id: <class 'str'>
row_digests: list[str]

Source

`class` `TableCreateFromDigestsRes`

Pydantic 필드:

digest: <class 'str'>

Source

`class` `TableCreateReq`

Pydantic 필드:

table: <class 'TableSchemaForInsert'>

Source

`class` `TableCreateRes`

Pydantic 필드:

digest: <class 'str'>
row_digests: list[str]

Source

`class` `TableInsertSpec`

Pydantic 필드:

insert: <class 'TableInsertSpecPayload'>

Source

`class` `TableInsertSpecPayload`

Pydantic 필드:

index: <class 'int'>
row: dict[str, typing.Any]

Source

`class` `TablePopSpec`

Pydantic 필드:

pop: <class 'TablePopSpecPayload'>

Source

`class` `TablePopSpecPayload`

Pydantic 필드:

index: <class 'int'>

Source

`class` `TableQueryReq`

Pydantic 필드:

project_id: <class 'str'>
digest: <class 'str'>
filter: TableRowFilter | None
limit: int | None
offset: int | None
sort_by: list[weave.trace_server.common_interface.SortBy] | None

Source

`class` `TableQueryRes`

Pydantic 필드:

rows: list[TableRowSchema]

Source

`class` `TableQueryStatsBatchReq`

Pydantic 필드:

project_id: <class 'str'>
digests: list[str] | None
include_storage_size: bool | None

Source

`class` `TableQueryStatsBatchRes`

Pydantic 필드:

tables: list[TableStatsRow]

Source

`class` `TableQueryStatsReq`

Pydantic 필드:

project_id: <class 'str'>
digest: <class 'str'>

Source

`class` `TableQueryStatsRes`

Pydantic 필드:

count: <class 'int'>

Source

`class` `TableRowFilter`

Pydantic 필드:

row_digests: list[str] | None

Source

`class` `TableRowSchema`

Pydantic 필드:

digest: <class 'str'>
val: typing.Any
original_index: int | None

Source

`class` `TableSchemaForInsert`

Pydantic 필드:

project_id: <class 'str'>
rows: list[dict[str, typing.Any]]

Source

`class` `TableStatsRow`

Pydantic 필드:

count: <class 'int'>
digest: <class 'str'>
storage_size_bytes: int | None

Source

`class` `TableUpdateReq`

Pydantic 필드:

project_id: <class 'str'>
base_digest: <class 'str'>
updates: list[TableAppendSpec | TablePopSpec | TableInsertSpec]

Source

`class` `TableUpdateRes`

Pydantic 필드:

digest: <class 'str'>
updated_row_digests: list[str]

Source

`class` `ThreadSchema`

Pydantic 필드:

thread_id: <class 'str'>
turn_count: <class 'int'>
start_time: <class 'datetime.datetime'>
last_updated: <class 'datetime.datetime'>
first_turn_id: str | None
last_turn_id: str | None
p50_turn_duration_ms: float | None
p99_turn_duration_ms: float | None

Source

`class` `ThreadsQueryFilter`

Pydantic 필드:

after_datetime: datetime.datetime | None
before_datetime: datetime.datetime | None
thread_ids: list[str] | None

Source

`class` `ThreadsQueryReq`

turn call만을 기반으로 집계된 통계와 함께 thread를 쿼리합니다. turn call은 thread 컨텍스트의 직계 자식입니다 (call.id == turn_id 인 경우). 이는 모든 중첩된 구현 세부 정보를 포함하는 대신 의미 있는 대화 수준의 통계를 제공합니다. Pydantic 필드:

project_id: <class 'str'>
filter: ThreadsQueryFilter | None
limit: int | None
offset: int | None
sort_by: list[weave.trace_server.common_interface.SortBy] | None

Source

`class` `TraceServerInterface`

Source

`method` `actions_execute_batch`

actions_execute_batch(req: ActionsExecuteBatchReq) → ActionsExecuteBatchRes

Source

`method` `annotation_queue_add_calls`

annotation_queue_add_calls(
    req: AnnotationQueueAddCallsReq
) → AnnotationQueueAddCallsRes

Source

`method` `annotation_queue_create`

annotation_queue_create(
    req: AnnotationQueueCreateReq
) → AnnotationQueueCreateRes

Source

`method` `annotation_queue_items_query`

annotation_queue_items_query(
    req: AnnotationQueueItemsQueryReq
) → AnnotationQueueItemsQueryRes

Source

`method` `annotation_queue_read`

annotation_queue_read(req: AnnotationQueueReadReq) → AnnotationQueueReadRes

Source

`method` `annotation_queues_query_stream`

annotation_queues_query_stream(
    req: AnnotationQueuesQueryReq
) → Iterator[AnnotationQueueSchema]

Source

`method` `annotation_queues_stats`

annotation_queues_stats(
    req: AnnotationQueuesStatsReq
) → AnnotationQueuesStatsRes

Source

`method` `annotator_queue_items_progress_update`

annotator_queue_items_progress_update(
    req: AnnotatorQueueItemsProgressUpdateReq
) → AnnotatorQueueItemsProgressUpdateRes

Source

`method` `call_end`

call_end(req: CallEndReq) → CallEndRes

Source

`method` `call_read`

call_read(req: CallReadReq) → CallReadRes

Source

`method` `call_start`

call_start(req: CallStartReq) → CallStartRes

Source

`method` `call_start_batch`

call_start_batch(req: CallCreateBatchReq) → CallCreateBatchRes

Source

`method` `call_update`

call_update(req: CallUpdateReq) → CallUpdateRes

Source

`method` `calls_delete`

calls_delete(req: CallsDeleteReq) → CallsDeleteRes

Source

`method` `calls_query`

calls_query(req: CallsQueryReq) → CallsQueryRes

Source

`method` `calls_query_stats`

calls_query_stats(req: CallsQueryStatsReq) → CallsQueryStatsRes

Source

`method` `calls_query_stream`

calls_query_stream(req: CallsQueryReq) → Iterator[CallSchema]

Source

`method` `completions_create`

completions_create(req: CompletionsCreateReq) → CompletionsCreateRes

Source

`method` `completions_create_stream`

completions_create_stream(req: CompletionsCreateReq) → Iterator[dict[str, Any]]

Source

`method` `cost_create`

cost_create(req: CostCreateReq) → CostCreateRes

Source

`method` `cost_purge`

cost_purge(req: CostPurgeReq) → CostPurgeRes

Source

`method` `cost_query`

cost_query(req: CostQueryReq) → CostQueryRes

Source

`method` `ensure_project_exists`

ensure_project_exists(entity: str, project: str) → EnsureProjectExistsRes

Source

`method` `evaluate_model`

evaluate_model(req: EvaluateModelReq) → EvaluateModelRes

Source

`method` `evaluation_status`

evaluation_status(req: EvaluationStatusReq) → EvaluationStatusRes

Source

`method` `feedback_create`

feedback_create(req: FeedbackCreateReq) → FeedbackCreateRes

Source

`method` `feedback_create_batch`

feedback_create_batch(req: FeedbackCreateBatchReq) → FeedbackCreateBatchRes

Source

`method` `feedback_purge`

feedback_purge(req: FeedbackPurgeReq) → FeedbackPurgeRes

Source

`method` `feedback_query`

feedback_query(req: FeedbackQueryReq) → FeedbackQueryRes

Source

`method` `feedback_replace`

feedback_replace(req: FeedbackReplaceReq) → FeedbackReplaceRes

Source

`method` `file_content_read`

file_content_read(req: FileContentReadReq) → FileContentReadRes

Source

`method` `file_create`

file_create(req: FileCreateReq) → FileCreateRes

Source

`method` `files_stats`

files_stats(req: FilesStatsReq) → FilesStatsRes

Source

`method` `image_create`

image_create(req: ImageGenerationCreateReq) → ImageGenerationCreateRes

Source

`method` `obj_create`

obj_create(req: ObjCreateReq) → ObjCreateRes

Source

`method` `obj_delete`

obj_delete(req: ObjDeleteReq) → ObjDeleteRes

Source

`method` `obj_read`

obj_read(req: ObjReadReq) → ObjReadRes

Source

`method` `objs_query`

objs_query(req: ObjQueryReq) → ObjQueryRes

Source

`method` `otel_export`

otel_export(req: OtelExportReq) → OtelExportRes

Source

`method` `project_stats`

project_stats(req: ProjectStatsReq) → ProjectStatsRes

Source

`method` `refs_read_batch`

refs_read_batch(req: RefsReadBatchReq) → RefsReadBatchRes

Source

`method` `table_create`

table_create(req: TableCreateReq) → TableCreateRes

Source

`method` `table_create_from_digests`

table_create_from_digests(
    req: TableCreateFromDigestsReq
) → TableCreateFromDigestsRes

Source

`method` `table_query`

table_query(req: TableQueryReq) → TableQueryRes

Source

`method` `table_query_stats`

table_query_stats(req: TableQueryStatsReq) → TableQueryStatsRes

Source

`method` `table_query_stats_batch`

table_query_stats_batch(req: TableQueryStatsBatchReq) → TableQueryStatsBatchRes

Source

`method` `table_query_stream`

table_query_stream(req: TableQueryReq) → Iterator[TableRowSchema]

Source

`method` `table_update`

table_update(req: TableUpdateReq) → TableUpdateRes

Source

`method` `threads_query_stream`

threads_query_stream(req: ThreadsQueryReq) → Iterator[ThreadSchema]

Source

`class` `TraceStatus`

Source

Get Started

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Reference

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Community

​API 개요

​class ActionsExecuteBatchReq

​class ActionsExecuteBatchRes

​class AnnotationQueueAddCallsReq

​class AnnotationQueueAddCallsRes

​class AnnotationQueueCreateReq

​class AnnotationQueueCreateRes

​class AnnotationQueueItemSchema

​class AnnotationQueueItemsQueryReq

​class AnnotationQueueItemsQueryRes

​class AnnotationQueueReadReq

​class AnnotationQueueReadRes

​class AnnotationQueueSchema

​class AnnotationQueueStatsSchema

​class AnnotationQueuesQueryReq

​class AnnotationQueuesQueryRes

​class AnnotationQueuesStatsReq

​class AnnotationQueuesStatsRes

​class AnnotatorQueueItemsProgressUpdateReq

​class AnnotatorQueueItemsProgressUpdateRes

​class CallBatchEndMode

​class CallBatchStartMode

​class CallCreateBatchReq

​class CallCreateBatchRes

​class CallEndReq

​class CallEndRes

​class CallReadReq

​class CallReadRes

​class CallSchema

​method serialize_typed_dicts

​class CallStartReq

​class CallStartRes

​class CallUpdateReq

​class CallUpdateRes

​class CallsDeleteReq

​class CallsDeleteRes

​class CallsFilter

​class CallsQueryReq

​class CallsQueryRes

​class CallsQueryStatsReq

​class CallsQueryStatsRes

​class CompletionsCreateReq

​class CompletionsCreateRequestInputs

​class CompletionsCreateRes

​class CostCreateInput

​class CostCreateReq

​class CostCreateRes

​class CostPurgeReq

​class CostPurgeRes

​class CostQueryOutput

​class CostQueryReq

​class CostQueryRes

​class DatasetCreateBody

​class DatasetCreateReq

​class DatasetCreateRes

​class DatasetDeleteReq

​class DatasetDeleteRes

​class DatasetListReq

​class DatasetReadReq

​class DatasetReadRes

​class EndedCallSchemaForInsert

​method serialize_typed_dicts

​class EnsureProjectExistsRes

​class EvaluateModelReq

​class EvaluateModelRes

​class EvaluationCreateBody

​class EvaluationCreateReq

​class EvaluationCreateRes

​class EvaluationDeleteReq

​class EvaluationDeleteRes

​class EvaluationListReq

​class EvaluationReadReq

​class EvaluationReadRes

​class EvaluationRunCreateBody

API 개요

`class` `ActionsExecuteBatchReq`

`class` `ActionsExecuteBatchRes`

`class` `AnnotationQueueAddCallsReq`

`class` `AnnotationQueueAddCallsRes`

`class` `AnnotationQueueCreateReq`

`class` `AnnotationQueueCreateRes`

`class` `AnnotationQueueItemSchema`

`class` `AnnotationQueueItemsQueryReq`

`class` `AnnotationQueueItemsQueryRes`

`class` `AnnotationQueueReadReq`

`class` `AnnotationQueueReadRes`

`class` `AnnotationQueueSchema`

`class` `AnnotationQueueStatsSchema`

`class` `AnnotationQueuesQueryReq`

`class` `AnnotationQueuesQueryRes`

`class` `AnnotationQueuesStatsReq`

`class` `AnnotationQueuesStatsRes`

`class` `AnnotatorQueueItemsProgressUpdateReq`

`class` `AnnotatorQueueItemsProgressUpdateRes`

`class` `CallBatchEndMode`

`class` `CallBatchStartMode`

`class` `CallCreateBatchReq`

`class` `CallCreateBatchRes`

`class` `CallEndReq`

`class` `CallEndRes`

`class` `CallReadReq`

`class` `CallReadRes`

`class` `CallSchema`

`method` `serialize_typed_dicts`

`class` `CallStartReq`

`class` `CallStartRes`

`class` `CallUpdateReq`

`class` `CallUpdateRes`

`class` `CallsDeleteReq`

`class` `CallsDeleteRes`

`class` `CallsFilter`

`class` `CallsQueryReq`

`class` `CallsQueryRes`

`class` `CallsQueryStatsReq`

`class` `CallsQueryStatsRes`

`class` `CompletionsCreateReq`

`class` `CompletionsCreateRequestInputs`

`class` `CompletionsCreateRes`

`class` `CostCreateInput`

`class` `CostCreateReq`

`class` `CostCreateRes`

`class` `CostPurgeReq`

`class` `CostPurgeRes`

`class` `CostQueryOutput`

`class` `CostQueryReq`

`class` `CostQueryRes`

`class` `DatasetCreateBody`

`class` `DatasetCreateReq`

`class` `DatasetCreateRes`

`class` `DatasetDeleteReq`

`class` `DatasetDeleteRes`

`class` `DatasetListReq`

`class` `DatasetReadReq`

`class` `DatasetReadRes`

`class` `EndedCallSchemaForInsert`

`method` `serialize_typed_dicts`

`class` `EnsureProjectExistsRes`

`class` `EvaluateModelReq`

`class` `EvaluateModelRes`

`class` `EvaluationCreateBody`

`class` `EvaluationCreateReq`

`class` `EvaluationCreateRes`

`class` `EvaluationDeleteReq`

`class` `EvaluationDeleteRes`

`class` `EvaluationListReq`

`class` `EvaluationReadReq`

`class` `EvaluationReadRes`

`class` `EvaluationRunCreateBody`

`class` `EvaluationRunCreateReq`

`class` `EvaluationRunCreateRes`

`class` `EvaluationRunDeleteReq`

`class` `EvaluationRunDeleteRes`

`class` `EvaluationRunFilter`

`class` `EvaluationRunFinishBody`