# This file was auto-generated by Fern from our API Definition. import datetime as dt import typing from json.decoder import JSONDecodeError from ...commons.errors.access_denied_error import AccessDeniedError from ...commons.errors.error import Error from ...commons.errors.method_not_allowed_error import MethodNotAllowedError from ...commons.errors.not_found_error import NotFoundError from ...commons.errors.unauthorized_error import UnauthorizedError from ...commons.types.observation_level import ObservationLevel from ...commons.types.observations_view import ObservationsView from ...core.api_error import ApiError from ...core.client_wrapper import AsyncClientWrapper, SyncClientWrapper from ...core.datetime_utils import serialize_datetime from ...core.http_response import AsyncHttpResponse, HttpResponse from ...core.jsonable_encoder import jsonable_encoder from ...core.pydantic_utilities import parse_obj_as from ...core.request_options import RequestOptions from .types.observations_views import ObservationsViews class RawObservationsV1Client: def __init__(self, *, client_wrapper: SyncClientWrapper): self._client_wrapper = client_wrapper def get( self, observation_id: str, *, request_options: typing.Optional[RequestOptions] = None, ) -> HttpResponse[ObservationsView]: """ Get a observation Parameters ---------- observation_id : str The unique langfuse identifier of an observation, can be an event, span or generation request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- HttpResponse[ObservationsView] """ _response = self._client_wrapper.httpx_client.request( f"api/public/observations/{jsonable_encoder(observation_id)}", method="GET", request_options=request_options, ) try: if 200 <= _response.status_code < 300: _data = typing.cast( ObservationsView, parse_obj_as( type_=ObservationsView, # type: ignore object_=_response.json(), ), ) return HttpResponse(response=_response, data=_data) if _response.status_code == 400: raise Error( headers=dict(_response.headers), body=typing.cast( typing.Any, parse_obj_as( type_=typing.Any, # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 401: raise UnauthorizedError( headers=dict(_response.headers), body=typing.cast( typing.Any, parse_obj_as( type_=typing.Any, # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 403: raise AccessDeniedError( headers=dict(_response.headers), body=typing.cast( typing.Any, parse_obj_as( type_=typing.Any, # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 405: raise MethodNotAllowedError( headers=dict(_response.headers), body=typing.cast( typing.Any, parse_obj_as( type_=typing.Any, # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 404: raise NotFoundError( headers=dict(_response.headers), body=typing.cast( typing.Any, parse_obj_as( type_=typing.Any, # type: ignore object_=_response.json(), ), ), ) _response_json = _response.json() except JSONDecodeError: raise ApiError( status_code=_response.status_code, headers=dict(_response.headers), body=_response.text, ) raise ApiError( status_code=_response.status_code, headers=dict(_response.headers), body=_response_json, ) def get_many( self, *, page: typing.Optional[int] = None, limit: typing.Optional[int] = None, name: typing.Optional[str] = None, user_id: typing.Optional[str] = None, type: typing.Optional[str] = None, trace_id: typing.Optional[str] = None, level: typing.Optional[ObservationLevel] = None, parent_observation_id: typing.Optional[str] = None, environment: typing.Optional[typing.Union[str, typing.Sequence[str]]] = None, from_start_time: typing.Optional[dt.datetime] = None, to_start_time: typing.Optional[dt.datetime] = None, version: typing.Optional[str] = None, filter: typing.Optional[str] = None, request_options: typing.Optional[RequestOptions] = None, ) -> HttpResponse[ObservationsViews]: """ Get a list of observations. Consider using the [v2 observations endpoint](/api-reference#tag/observationsv2/GET/api/public/v2/observations) for cursor-based pagination and field selection. Parameters ---------- page : typing.Optional[int] Page number, starts at 1. limit : typing.Optional[int] Limit of items per page. If you encounter api issues due to too large page sizes, try to reduce the limit. name : typing.Optional[str] user_id : typing.Optional[str] type : typing.Optional[str] trace_id : typing.Optional[str] level : typing.Optional[ObservationLevel] Optional filter for observations with a specific level (e.g. "DEBUG", "DEFAULT", "WARNING", "ERROR"). parent_observation_id : typing.Optional[str] environment : typing.Optional[typing.Union[str, typing.Sequence[str]]] Optional filter for observations where the environment is one of the provided values. from_start_time : typing.Optional[dt.datetime] Retrieve only observations with a start_time on or after this datetime (ISO 8601). to_start_time : typing.Optional[dt.datetime] Retrieve only observations with a start_time before this datetime (ISO 8601). version : typing.Optional[str] Optional filter to only include observations with a certain version. filter : typing.Optional[str] JSON string containing an array of filter conditions. When provided, this takes precedence over query parameter filters (userId, name, type, level, environment, fromStartTime, ...). ## Filter Structure Each filter condition has the following structure: ```json [ { "type": string, // Required. One of: "datetime", "string", "number", "stringOptions", "categoryOptions", "arrayOptions", "stringObject", "numberObject", "boolean", "null" "column": string, // Required. Column to filter on (see available columns below) "operator": string, // Required. Operator based on type: // - datetime: ">", "<", ">=", "<=" // - string: "=", "contains", "does not contain", "starts with", "ends with" // - stringOptions: "any of", "none of" // - categoryOptions: "any of", "none of" // - arrayOptions: "any of", "none of", "all of" // - number: "=", ">", "<", ">=", "<=" // - stringObject: "=", "contains", "does not contain", "starts with", "ends with" // - numberObject: "=", ">", "<", ">=", "<=" // - boolean: "=", "<>" // - null: "is null", "is not null" "value": any, // Required (except for null type). Value to compare against. Type depends on filter type "key": string // Required only for stringObject, numberObject, and categoryOptions types when filtering on nested fields like metadata } ] ``` ## Available Columns ### Core Observation Fields - `id` (string) - Observation ID - `type` (string) - Observation type (SPAN, GENERATION, EVENT) - `name` (string) - Observation name - `traceId` (string) - Associated trace ID - `startTime` (datetime) - Observation start time - `endTime` (datetime) - Observation end time - `environment` (string) - Environment tag - `level` (string) - Log level (DEBUG, DEFAULT, WARNING, ERROR) - `statusMessage` (string) - Status message - `version` (string) - Version tag ### Performance Metrics - `latency` (number) - Latency in seconds (calculated: end_time - start_time) - `timeToFirstToken` (number) - Time to first token in seconds - `tokensPerSecond` (number) - Output tokens per second ### Token Usage - `inputTokens` (number) - Number of input tokens - `outputTokens` (number) - Number of output tokens - `totalTokens` (number) - Total tokens (alias: `tokens`) ### Cost Metrics - `inputCost` (number) - Input cost in USD - `outputCost` (number) - Output cost in USD - `totalCost` (number) - Total cost in USD ### Model Information - `model` (string) - Provided model name - `promptName` (string) - Associated prompt name - `promptVersion` (number) - Associated prompt version ### Structured Data - `metadata` (stringObject/numberObject/categoryOptions) - Metadata key-value pairs. Use `key` parameter to filter on specific metadata keys. ### Associated Trace Fields (requires join with traces table) - `userId` (string) - User ID from associated trace - `traceName` (string) - Name from associated trace - `traceEnvironment` (string) - Environment from associated trace - `traceTags` (arrayOptions) - Tags from associated trace ## Filter Examples ```json [ { "type": "string", "column": "type", "operator": "=", "value": "GENERATION" }, { "type": "number", "column": "latency", "operator": ">=", "value": 2.5 }, { "type": "stringObject", "column": "metadata", "key": "environment", "operator": "=", "value": "production" } ] ``` request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- HttpResponse[ObservationsViews] """ _response = self._client_wrapper.httpx_client.request( "api/public/observations", method="GET", params={ "page": page, "limit": limit, "name": name, "userId": user_id, "type": type, "traceId": trace_id, "level": level, "parentObservationId": parent_observation_id, "environment": environment, "fromStartTime": serialize_datetime(from_start_time) if from_start_time is not None else None, "toStartTime": serialize_datetime(to_start_time) if to_start_time is not None else None, "version": version, "filter": filter, }, request_options=request_options, ) try: if 200 <= _response.status_code < 300: _data = typing.cast( ObservationsViews, parse_obj_as( type_=ObservationsViews, # type: ignore object_=_response.json(), ), ) return HttpResponse(response=_response, data=_data) if _response.status_code == 400: raise Error( headers=dict(_response.headers), body=typing.cast( typing.Any, parse_obj_as( type_=typing.Any, # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 401: raise UnauthorizedError( headers=dict(_response.headers), body=typing.cast( typing.Any, parse_obj_as( type_=typing.Any, # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 403: raise AccessDeniedError( headers=dict(_response.headers), body=typing.cast( typing.Any, parse_obj_as( type_=typing.Any, # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 405: raise MethodNotAllowedError( headers=dict(_response.headers), body=typing.cast( typing.Any, parse_obj_as( type_=typing.Any, # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 404: raise NotFoundError( headers=dict(_response.headers), body=typing.cast( typing.Any, parse_obj_as( type_=typing.Any, # type: ignore object_=_response.json(), ), ), ) _response_json = _response.json() except JSONDecodeError: raise ApiError( status_code=_response.status_code, headers=dict(_response.headers), body=_response.text, ) raise ApiError( status_code=_response.status_code, headers=dict(_response.headers), body=_response_json, ) class AsyncRawObservationsV1Client: def __init__(self, *, client_wrapper: AsyncClientWrapper): self._client_wrapper = client_wrapper async def get( self, observation_id: str, *, request_options: typing.Optional[RequestOptions] = None, ) -> AsyncHttpResponse[ObservationsView]: """ Get a observation Parameters ---------- observation_id : str The unique langfuse identifier of an observation, can be an event, span or generation request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- AsyncHttpResponse[ObservationsView] """ _response = await self._client_wrapper.httpx_client.request( f"api/public/observations/{jsonable_encoder(observation_id)}", method="GET", request_options=request_options, ) try: if 200 <= _response.status_code < 300: _data = typing.cast( ObservationsView, parse_obj_as( type_=ObservationsView, # type: ignore object_=_response.json(), ), ) return AsyncHttpResponse(response=_response, data=_data) if _response.status_code == 400: raise Error( headers=dict(_response.headers), body=typing.cast( typing.Any, parse_obj_as( type_=typing.Any, # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 401: raise UnauthorizedError( headers=dict(_response.headers), body=typing.cast( typing.Any, parse_obj_as( type_=typing.Any, # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 403: raise AccessDeniedError( headers=dict(_response.headers), body=typing.cast( typing.Any, parse_obj_as( type_=typing.Any, # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 405: raise MethodNotAllowedError( headers=dict(_response.headers), body=typing.cast( typing.Any, parse_obj_as( type_=typing.Any, # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 404: raise NotFoundError( headers=dict(_response.headers), body=typing.cast( typing.Any, parse_obj_as( type_=typing.Any, # type: ignore object_=_response.json(), ), ), ) _response_json = _response.json() except JSONDecodeError: raise ApiError( status_code=_response.status_code, headers=dict(_response.headers), body=_response.text, ) raise ApiError( status_code=_response.status_code, headers=dict(_response.headers), body=_response_json, ) async def get_many( self, *, page: typing.Optional[int] = None, limit: typing.Optional[int] = None, name: typing.Optional[str] = None, user_id: typing.Optional[str] = None, type: typing.Optional[str] = None, trace_id: typing.Optional[str] = None, level: typing.Optional[ObservationLevel] = None, parent_observation_id: typing.Optional[str] = None, environment: typing.Optional[typing.Union[str, typing.Sequence[str]]] = None, from_start_time: typing.Optional[dt.datetime] = None, to_start_time: typing.Optional[dt.datetime] = None, version: typing.Optional[str] = None, filter: typing.Optional[str] = None, request_options: typing.Optional[RequestOptions] = None, ) -> AsyncHttpResponse[ObservationsViews]: """ Get a list of observations. Consider using the [v2 observations endpoint](/api-reference#tag/observationsv2/GET/api/public/v2/observations) for cursor-based pagination and field selection. Parameters ---------- page : typing.Optional[int] Page number, starts at 1. limit : typing.Optional[int] Limit of items per page. If you encounter api issues due to too large page sizes, try to reduce the limit. name : typing.Optional[str] user_id : typing.Optional[str] type : typing.Optional[str] trace_id : typing.Optional[str] level : typing.Optional[ObservationLevel] Optional filter for observations with a specific level (e.g. "DEBUG", "DEFAULT", "WARNING", "ERROR"). parent_observation_id : typing.Optional[str] environment : typing.Optional[typing.Union[str, typing.Sequence[str]]] Optional filter for observations where the environment is one of the provided values. from_start_time : typing.Optional[dt.datetime] Retrieve only observations with a start_time on or after this datetime (ISO 8601). to_start_time : typing.Optional[dt.datetime] Retrieve only observations with a start_time before this datetime (ISO 8601). version : typing.Optional[str] Optional filter to only include observations with a certain version. filter : typing.Optional[str] JSON string containing an array of filter conditions. When provided, this takes precedence over query parameter filters (userId, name, type, level, environment, fromStartTime, ...). ## Filter Structure Each filter condition has the following structure: ```json [ { "type": string, // Required. One of: "datetime", "string", "number", "stringOptions", "categoryOptions", "arrayOptions", "stringObject", "numberObject", "boolean", "null" "column": string, // Required. Column to filter on (see available columns below) "operator": string, // Required. Operator based on type: // - datetime: ">", "<", ">=", "<=" // - string: "=", "contains", "does not contain", "starts with", "ends with" // - stringOptions: "any of", "none of" // - categoryOptions: "any of", "none of" // - arrayOptions: "any of", "none of", "all of" // - number: "=", ">", "<", ">=", "<=" // - stringObject: "=", "contains", "does not contain", "starts with", "ends with" // - numberObject: "=", ">", "<", ">=", "<=" // - boolean: "=", "<>" // - null: "is null", "is not null" "value": any, // Required (except for null type). Value to compare against. Type depends on filter type "key": string // Required only for stringObject, numberObject, and categoryOptions types when filtering on nested fields like metadata } ] ``` ## Available Columns ### Core Observation Fields - `id` (string) - Observation ID - `type` (string) - Observation type (SPAN, GENERATION, EVENT) - `name` (string) - Observation name - `traceId` (string) - Associated trace ID - `startTime` (datetime) - Observation start time - `endTime` (datetime) - Observation end time - `environment` (string) - Environment tag - `level` (string) - Log level (DEBUG, DEFAULT, WARNING, ERROR) - `statusMessage` (string) - Status message - `version` (string) - Version tag ### Performance Metrics - `latency` (number) - Latency in seconds (calculated: end_time - start_time) - `timeToFirstToken` (number) - Time to first token in seconds - `tokensPerSecond` (number) - Output tokens per second ### Token Usage - `inputTokens` (number) - Number of input tokens - `outputTokens` (number) - Number of output tokens - `totalTokens` (number) - Total tokens (alias: `tokens`) ### Cost Metrics - `inputCost` (number) - Input cost in USD - `outputCost` (number) - Output cost in USD - `totalCost` (number) - Total cost in USD ### Model Information - `model` (string) - Provided model name - `promptName` (string) - Associated prompt name - `promptVersion` (number) - Associated prompt version ### Structured Data - `metadata` (stringObject/numberObject/categoryOptions) - Metadata key-value pairs. Use `key` parameter to filter on specific metadata keys. ### Associated Trace Fields (requires join with traces table) - `userId` (string) - User ID from associated trace - `traceName` (string) - Name from associated trace - `traceEnvironment` (string) - Environment from associated trace - `traceTags` (arrayOptions) - Tags from associated trace ## Filter Examples ```json [ { "type": "string", "column": "type", "operator": "=", "value": "GENERATION" }, { "type": "number", "column": "latency", "operator": ">=", "value": 2.5 }, { "type": "stringObject", "column": "metadata", "key": "environment", "operator": "=", "value": "production" } ] ``` request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- AsyncHttpResponse[ObservationsViews] """ _response = await self._client_wrapper.httpx_client.request( "api/public/observations", method="GET", params={ "page": page, "limit": limit, "name": name, "userId": user_id, "type": type, "traceId": trace_id, "level": level, "parentObservationId": parent_observation_id, "environment": environment, "fromStartTime": serialize_datetime(from_start_time) if from_start_time is not None else None, "toStartTime": serialize_datetime(to_start_time) if to_start_time is not None else None, "version": version, "filter": filter, }, request_options=request_options, ) try: if 200 <= _response.status_code < 300: _data = typing.cast( ObservationsViews, parse_obj_as( type_=ObservationsViews, # type: ignore object_=_response.json(), ), ) return AsyncHttpResponse(response=_response, data=_data) if _response.status_code == 400: raise Error( headers=dict(_response.headers), body=typing.cast( typing.Any, parse_obj_as( type_=typing.Any, # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 401: raise UnauthorizedError( headers=dict(_response.headers), body=typing.cast( typing.Any, parse_obj_as( type_=typing.Any, # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 403: raise AccessDeniedError( headers=dict(_response.headers), body=typing.cast( typing.Any, parse_obj_as( type_=typing.Any, # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 405: raise MethodNotAllowedError( headers=dict(_response.headers), body=typing.cast( typing.Any, parse_obj_as( type_=typing.Any, # type: ignore object_=_response.json(), ), ), ) if _response.status_code == 404: raise NotFoundError( headers=dict(_response.headers), body=typing.cast( typing.Any, parse_obj_as( type_=typing.Any, # type: ignore object_=_response.json(), ), ), ) _response_json = _response.json() except JSONDecodeError: raise ApiError( status_code=_response.status_code, headers=dict(_response.headers), body=_response.text, ) raise ApiError( status_code=_response.status_code, headers=dict(_response.headers), body=_response_json, )