feat(cost-tracking): trace all usage keys

langfuse/api/__init__.py

@@ -87,6 +87,7 @@
     ObservationsView,
     ObservationsViews,
     OpenAiUsage,
+    OpenAiUsageSchema,
     OptionalObservationBody,
     PaginatedDatasetItems,
     PaginatedDatasetRuns,
@@ -133,6 +134,7 @@
     UpdateSpanEvent,
     Usage,
     UsageByModel,
+    UsageDetails,
     comments,
     commons,
     dataset_items,
@@ -240,6 +242,7 @@
     "ObservationsView",
     "ObservationsViews",
     "OpenAiUsage",
+    "OpenAiUsageSchema",
     "OptionalObservationBody",
     "PaginatedDatasetItems",
     "PaginatedDatasetRuns",
@@ -286,6 +289,7 @@
     "UpdateSpanEvent",
     "Usage",
     "UsageByModel",
+    "UsageDetails",
     "comments",
     "commons",
     "dataset_items",

langfuse/api/resources/__init__.py

@@ -92,6 +92,7 @@
     ObservationBody,
     ObservationType,
     OpenAiUsage,
+    OpenAiUsageSchema,
     OptionalObservationBody,
     ScoreBody,
     ScoreEvent,
@@ -105,6 +106,7 @@
     UpdateObservationEvent,
     UpdateSpanBody,
     UpdateSpanEvent,
+    UsageDetails,
 )
 from .media import (
     GetMediaResponse,
@@ -237,6 +239,7 @@
     "ObservationsView",
     "ObservationsViews",
     "OpenAiUsage",
+    "OpenAiUsageSchema",
     "OptionalObservationBody",
     "PaginatedDatasetItems",
     "PaginatedDatasetRuns",
@@ -283,6 +286,7 @@
     "UpdateSpanEvent",
     "Usage",
     "UsageByModel",
+    "UsageDetails",
     "comments",
     "commons",
     "dataset_items",

langfuse/api/resources/comments/types/create_comment_request.py

@@ -25,7 +25,7 @@ class CreateCommentRequest(pydantic_v1.BaseModel):
 
     content: str = pydantic_v1.Field()
     """
-    The content of the comment. May include markdown. Currently limited to 500 characters.
+    The content of the comment. May include markdown. Currently limited to 3000 characters.
     """
 
     author_user_id: typing.Optional[str] = pydantic_v1.Field(

langfuse/api/resources/commons/types/observation.py

@@ -84,7 +84,7 @@ class Observation(pydantic_v1.BaseModel):
 
     usage: typing.Optional[Usage] = pydantic_v1.Field(default=None)
     """
-    The usage data of the observation
+    (Deprecated. Use usageDetails and costDetails instead.) The usage data of the observation
     """
 
     level: ObservationLevel = pydantic_v1.Field()
@@ -111,6 +111,20 @@ class Observation(pydantic_v1.BaseModel):
     The prompt ID associated with the observation
     """
 
+    usage_details: typing.Optional[typing.Dict[str, int]] = pydantic_v1.Field(
+        alias="usageDetails", default=None
+    )
+    """
+    The usage details of the observation. Key is the name of the usage metric, value is the number of units consumed. The total key is the sum of all (non-total) usage metrics or the total value ingested.
+    """
+
+    cost_details: typing.Optional[typing.Dict[str, float]] = pydantic_v1.Field(
+        alias="costDetails", default=None
+    )
+    """
+    The cost details of the observation. Key is the name of the cost metric, value is the cost in USD. The total key is the sum of all (non-total) cost metrics or the total value ingested.
+    """
+
     def json(self, **kwargs: typing.Any) -> str:
         kwargs_with_defaults: typing.Any = {
             "by_alias": True,

langfuse/api/resources/commons/types/observations_view.py

@@ -53,21 +53,21 @@ class ObservationsView(Observation):
         alias="calculatedInputCost", default=None
     )
     """
-    The calculated cost of the input in USD
+    (Deprecated. Use usageDetails and costDetails instead.) The calculated cost of the input in USD
     """
 
     calculated_output_cost: typing.Optional[float] = pydantic_v1.Field(
         alias="calculatedOutputCost", default=None
     )
     """
-    The calculated cost of the output in USD
+    (Deprecated. Use usageDetails and costDetails instead.) The calculated cost of the output in USD
     """
 
     calculated_total_cost: typing.Optional[float] = pydantic_v1.Field(
         alias="calculatedTotalCost", default=None
     )
     """
-    The calculated total cost in USD
+    (Deprecated. Use usageDetails and costDetails instead.) The calculated total cost in USD
     """
 
     latency: typing.Optional[float] = pydantic_v1.Field(default=None)

langfuse/api/resources/commons/types/usage.py

@@ -10,7 +10,7 @@
 
 class Usage(pydantic_v1.BaseModel):
     """
-    Standard interface for usage and cost
+    (Deprecated. Use usageDetails and costDetails instead.) Standard interface for usage and cost
     """
 
     input: typing.Optional[int] = pydantic_v1.Field(default=None)

langfuse/api/resources/ingestion/__init__.py

@@ -27,6 +27,7 @@
     ObservationBody,
     ObservationType,
     OpenAiUsage,
+    OpenAiUsageSchema,
     OptionalObservationBody,
     ScoreBody,
     ScoreEvent,
@@ -40,6 +41,7 @@
     UpdateObservationEvent,
     UpdateSpanBody,
     UpdateSpanEvent,
+    UsageDetails,
 )
 
 __all__ = [
@@ -69,6 +71,7 @@
     "ObservationBody",
     "ObservationType",
     "OpenAiUsage",
+    "OpenAiUsageSchema",
     "OptionalObservationBody",
     "ScoreBody",
     "ScoreEvent",
@@ -82,4 +85,5 @@
     "UpdateObservationEvent",
     "UpdateSpanBody",
     "UpdateSpanEvent",
+    "UsageDetails",
 ]

langfuse/api/resources/ingestion/types/__init__.py

@@ -28,6 +28,7 @@
 from .observation_body import ObservationBody
 from .observation_type import ObservationType
 from .open_ai_usage import OpenAiUsage
+from .open_ai_usage_schema import OpenAiUsageSchema
 from .optional_observation_body import OptionalObservationBody
 from .score_body import ScoreBody
 from .score_event import ScoreEvent
@@ -41,6 +42,7 @@
 from .update_observation_event import UpdateObservationEvent
 from .update_span_body import UpdateSpanBody
 from .update_span_event import UpdateSpanEvent
+from .usage_details import UsageDetails
 
 __all__ = [
     "BaseEvent",
@@ -69,6 +71,7 @@
     "ObservationBody",
     "ObservationType",
     "OpenAiUsage",
+    "OpenAiUsageSchema",
     "OptionalObservationBody",
     "ScoreBody",
     "ScoreEvent",
@@ -82,4 +85,5 @@
     "UpdateObservationEvent",
     "UpdateSpanBody",
     "UpdateSpanEvent",
+    "UsageDetails",
 ]

langfuse/api/resources/ingestion/types/create_generation_body.py

@@ -8,6 +8,7 @@
 from ...commons.types.map_value import MapValue
 from .create_span_body import CreateSpanBody
 from .ingestion_usage import IngestionUsage
+from .usage_details import UsageDetails
 
 
 class CreateGenerationBody(CreateSpanBody):
@@ -19,6 +20,12 @@ class CreateGenerationBody(CreateSpanBody):
         alias="modelParameters", default=None
     )
     usage: typing.Optional[IngestionUsage] = None
+    usage_details: typing.Optional[UsageDetails] = pydantic_v1.Field(
+        alias="usageDetails", default=None
+    )
+    cost_details: typing.Optional[typing.Dict[str, float]] = pydantic_v1.Field(
+        alias="costDetails", default=None
+    )
     prompt_name: typing.Optional[str] = pydantic_v1.Field(
         alias="promptName", default=None
     )

langfuse/api/resources/ingestion/types/open_ai_usage_schema.py

@@ -0,0 +1,46 @@
+# This file was auto-generated by Fern from our API Definition.
+
+import datetime as dt
+import typing
+
+from ....core.datetime_utils import serialize_datetime
+from ....core.pydantic_utilities import deep_union_pydantic_dicts, pydantic_v1
+
+
+class OpenAiUsageSchema(pydantic_v1.BaseModel):
+    prompt_tokens: int
+    completion_tokens: int
+    total_tokens: int
+    prompt_tokens_details: typing.Optional[typing.Dict[str, int]] = None
+    completion_tokens_details: typing.Optional[typing.Dict[str, int]] = None
+
+    def json(self, **kwargs: typing.Any) -> str:
+        kwargs_with_defaults: typing.Any = {
+            "by_alias": True,
+            "exclude_unset": True,
+            **kwargs,
+        }
+        return super().json(**kwargs_with_defaults)
+
+    def dict(self, **kwargs: typing.Any) -> typing.Dict[str, typing.Any]:
+        kwargs_with_defaults_exclude_unset: typing.Any = {
+            "by_alias": True,
+            "exclude_unset": True,
+            **kwargs,
+        }
+        kwargs_with_defaults_exclude_none: typing.Any = {
+            "by_alias": True,
+            "exclude_none": True,
+            **kwargs,
+        }
+
+        return deep_union_pydantic_dicts(
+            super().dict(**kwargs_with_defaults_exclude_unset),
+            super().dict(**kwargs_with_defaults_exclude_none),
+        )
+
+    class Config:
+        frozen = True
+        smart_union = True
+        extra = pydantic_v1.Extra.allow
+        json_encoders = {dt.datetime: serialize_datetime}

langfuse/api/resources/ingestion/types/update_generation_body.py

@@ -8,6 +8,7 @@
 from ...commons.types.map_value import MapValue
 from .ingestion_usage import IngestionUsage
 from .update_span_body import UpdateSpanBody
+from .usage_details import UsageDetails
 
 
 class UpdateGenerationBody(UpdateSpanBody):
@@ -22,6 +23,12 @@ class UpdateGenerationBody(UpdateSpanBody):
     prompt_name: typing.Optional[str] = pydantic_v1.Field(
         alias="promptName", default=None
     )
+    usage_details: typing.Optional[UsageDetails] = pydantic_v1.Field(
+        alias="usageDetails", default=None
+    )
+    cost_details: typing.Optional[typing.Dict[str, float]] = pydantic_v1.Field(
+        alias="costDetails", default=None
+    )
     prompt_version: typing.Optional[int] = pydantic_v1.Field(
         alias="promptVersion", default=None
     )

langfuse/api/resources/ingestion/types/usage_details.py

@@ -0,0 +1,7 @@
+# This file was auto-generated by Fern from our API Definition.
+
+import typing
+
+from .open_ai_usage_schema import OpenAiUsageSchema
+
+UsageDetails = typing.Union[typing.Dict[str, int], OpenAiUsageSchema]

langfuse/api/resources/media/client.py

@@ -197,7 +197,7 @@ def get_upload_url(
 
         Examples
         --------
-        from langfuse.api import GetMediaUploadUrlRequest
+        from langfuse.api import GetMediaUploadUrlRequest, MediaContentType
         from langfuse.api.client import FernLangfuse
 
         client = FernLangfuse(
@@ -212,6 +212,7 @@ def get_upload_url(
             request=GetMediaUploadUrlRequest(
                 trace_id="string",
                 observation_id="string",
+                content_type=MediaContentType.IMAGE_PNG,
                 content_length=1,
                 sha_256_hash="string",
                 field="string",
@@ -446,7 +447,7 @@ async def get_upload_url(
         --------
         import asyncio
 
-        from langfuse.api import GetMediaUploadUrlRequest
+        from langfuse.api import GetMediaUploadUrlRequest, MediaContentType
         from langfuse.api.client import AsyncFernLangfuse
 
         client = AsyncFernLangfuse(
@@ -464,6 +465,7 @@ async def main() -> None:
                 request=GetMediaUploadUrlRequest(
                     trace_id="string",
                     observation_id="string",
+                    content_type=MediaContentType.IMAGE_PNG,
                     content_length=1,
                     sha_256_hash="string",
                     field="string",