feat: update ops trace (#7102)
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@@ -50,10 +50,11 @@ class LangfuseTrace(BaseModel):
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"""
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Langfuse trace model
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"""
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id: Optional[str] = Field(
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default=None,
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description="The id of the trace can be set, defaults to a random id. Used to link traces to external systems "
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"or when creating a distributed trace. Traces are upserted on id.",
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"or when creating a distributed trace. Traces are upserted on id.",
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)
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name: Optional[str] = Field(
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default=None,
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@@ -68,7 +69,7 @@ class LangfuseTrace(BaseModel):
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metadata: Optional[dict[str, Any]] = Field(
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default=None,
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description="Additional metadata of the trace. Can be any JSON object. Metadata is merged when being updated "
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"via the API.",
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"via the API.",
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)
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user_id: Optional[str] = Field(
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default=None,
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@@ -81,22 +82,22 @@ class LangfuseTrace(BaseModel):
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version: Optional[str] = Field(
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default=None,
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description="The version of the trace type. Used to understand how changes to the trace type affect metrics. "
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"Useful in debugging.",
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"Useful in debugging.",
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)
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release: Optional[str] = Field(
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default=None,
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description="The release identifier of the current deployment. Used to understand how changes of different "
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"deployments affect metrics. Useful in debugging.",
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"deployments affect metrics. Useful in debugging.",
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)
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tags: Optional[list[str]] = Field(
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default=None,
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description="Tags are used to categorize or label traces. Traces can be filtered by tags in the UI and GET "
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"API. Tags can also be changed in the UI. Tags are merged and never deleted via the API.",
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"API. Tags can also be changed in the UI. Tags are merged and never deleted via the API.",
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)
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public: Optional[bool] = Field(
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default=None,
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description="You can make a trace public to share it via a public link. This allows others to view the trace "
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"without needing to log in or be members of your Langfuse project.",
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"without needing to log in or be members of your Langfuse project.",
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)
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@field_validator("input", "output")
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@@ -109,6 +110,7 @@ class LangfuseSpan(BaseModel):
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"""
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Langfuse span model
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"""
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id: Optional[str] = Field(
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default=None,
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description="The id of the span can be set, otherwise a random id is generated. Spans are upserted on id.",
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@@ -140,17 +142,17 @@ class LangfuseSpan(BaseModel):
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metadata: Optional[dict[str, Any]] = Field(
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default=None,
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description="Additional metadata of the span. Can be any JSON object. Metadata is merged when being updated "
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"via the API.",
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"via the API.",
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)
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level: Optional[str] = Field(
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default=None,
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description="The level of the span. Can be DEBUG, DEFAULT, WARNING or ERROR. Used for sorting/filtering of "
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"traces with elevated error levels and for highlighting in the UI.",
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"traces with elevated error levels and for highlighting in the UI.",
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)
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status_message: Optional[str] = Field(
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default=None,
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description="The status message of the span. Additional field for context of the event. E.g. the error "
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"message of an error event.",
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"message of an error event.",
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)
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input: Optional[Union[str, dict[str, Any], list, None]] = Field(
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default=None, description="The input of the span. Can be any JSON object."
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@@ -161,7 +163,7 @@ class LangfuseSpan(BaseModel):
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version: Optional[str] = Field(
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default=None,
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description="The version of the span type. Used to understand how changes to the span type affect metrics. "
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"Useful in debugging.",
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"Useful in debugging.",
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)
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parent_observation_id: Optional[str] = Field(
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default=None,
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@@ -185,10 +187,9 @@ class UnitEnum(str, Enum):
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class GenerationUsage(BaseModel):
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promptTokens: Optional[int] = None
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completionTokens: Optional[int] = None
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totalTokens: Optional[int] = None
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total: Optional[int] = None
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input: Optional[int] = None
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output: Optional[int] = None
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total: Optional[int] = None
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unit: Optional[UnitEnum] = None
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inputCost: Optional[float] = None
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outputCost: Optional[float] = None
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@@ -224,15 +225,13 @@ class LangfuseGeneration(BaseModel):
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completion_start_time: Optional[datetime | str] = Field(
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default=None,
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description="The time at which the completion started (streaming). Set it to get latency analytics broken "
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"down into time until completion started and completion duration.",
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"down into time until completion started and completion duration.",
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)
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end_time: Optional[datetime | str] = Field(
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default=None,
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description="The time at which the generation ended. Automatically set by generation.end().",
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)
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model: Optional[str] = Field(
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default=None, description="The name of the model used for the generation."
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)
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model: Optional[str] = Field(default=None, description="The name of the model used for the generation.")
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model_parameters: Optional[dict[str, Any]] = Field(
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default=None,
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description="The parameters of the model used for the generation; can be any key-value pairs.",
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@@ -248,27 +247,27 @@ class LangfuseGeneration(BaseModel):
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usage: Optional[GenerationUsage] = Field(
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default=None,
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description="The usage object supports the OpenAi structure with tokens and a more generic version with "
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"detailed costs and units.",
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"detailed costs and units.",
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)
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metadata: Optional[dict[str, Any]] = Field(
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default=None,
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description="Additional metadata of the generation. Can be any JSON object. Metadata is merged when being "
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"updated via the API.",
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"updated via the API.",
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)
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level: Optional[LevelEnum] = Field(
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default=None,
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description="The level of the generation. Can be DEBUG, DEFAULT, WARNING or ERROR. Used for sorting/filtering "
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"of traces with elevated error levels and for highlighting in the UI.",
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"of traces with elevated error levels and for highlighting in the UI.",
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)
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status_message: Optional[str] = Field(
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default=None,
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description="The status message of the generation. Additional field for context of the event. E.g. the error "
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"message of an error event.",
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"message of an error event.",
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)
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version: Optional[str] = Field(
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default=None,
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description="The version of the generation type. Used to understand how changes to the span type affect "
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"metrics. Useful in debugging.",
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"metrics. Useful in debugging.",
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)
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model_config = ConfigDict(protected_namespaces=())
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@@ -277,4 +276,3 @@ class LangfuseGeneration(BaseModel):
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def ensure_dict(cls, v, info: ValidationInfo):
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field_name = info.field_name
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return validate_input_output(v, field_name)
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