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hassiebp merged 2 commits into from
Jan 8, 2026
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feat(api): update API spec from langfuse/langfuse 41f064c #1492

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feat(api): update API spec from langfuse/langfuse 41f064c
Jan 7, 2026
486b9a8
Merge branch 'main' into api-spec-bot-41f064c
hassiebp Jan 8, 2026
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15 changes: 14 additions & 1 deletion langfuse/api/reference.md
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Expand Up @@ -3635,7 +3635,7 @@ Use the `fields` parameter to control which observation fields are returned:
- `basic` - name, level, statusMessage, version, environment, bookmarked, public, userId, sessionId
- `time` - completionStartTime, createdAt, updatedAt
- `io` - input, output
- `metadata` - metadata
- `metadata` - metadata (truncated to 200 chars by default, use `expandMetadata` to get full values)
- `model` - providedModelName, internalModelId, modelParameters
- `usage` - usageDetails, costDetails, totalCost
- `prompt` - promptId, promptName, promptVersion
Expand Down Expand Up @@ -3699,6 +3699,19 @@ Example: "basic,usage,model"
<dl>
<dd>

**expand_metadata:** `typing.Optional[str]`

Comma-separated list of metadata keys to return non-truncated.
By default, metadata values over 200 characters are truncated.
Use this parameter to retrieve full values for specific keys.
Example: "key1,key2"

</dd>
</dl>

<dl>
<dd>

**limit:** `typing.Optional[int]` — Number of items to return per page. Maximum 1000, default 50.

</dd>
Expand Down
34 changes: 31 additions & 3 deletions langfuse/api/resources/commons/types/base_score.py
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Expand Up @@ -11,15 +11,31 @@
class BaseScore(pydantic_v1.BaseModel):
id: str
trace_id: typing.Optional[str] = pydantic_v1.Field(alias="traceId", default=None)
"""
The trace ID associated with the score
"""

session_id: typing.Optional[str] = pydantic_v1.Field(
alias="sessionId", default=None
)
"""
The session ID associated with the score
"""

observation_id: typing.Optional[str] = pydantic_v1.Field(
alias="observationId", default=None
)
"""
The observation ID associated with the score
"""

dataset_run_id: typing.Optional[str] = pydantic_v1.Field(
alias="datasetRunId", default=None
)
"""
The dataset run ID associated with the score
"""

name: str
source: ScoreSource
timestamp: dt.datetime
Expand All @@ -28,8 +44,20 @@ class BaseScore(pydantic_v1.BaseModel):
author_user_id: typing.Optional[str] = pydantic_v1.Field(
alias="authorUserId", default=None
)
comment: typing.Optional[str] = None
metadata: typing.Optional[typing.Any] = None
"""
The user ID of the author
"""

comment: typing.Optional[str] = pydantic_v1.Field(default=None)
"""
Comment on the score
"""

metadata: typing.Any = pydantic_v1.Field()
"""
Metadata associated with the score
"""
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logic: Changed from Optional[typing.Any] with default=None to required typing.Any without default. Will fail validation if metadata is missing from API response.

Prompt To Fix With AI 
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Path: langfuse/api/resources/commons/types/base_score.py
Line: 56:59

Comment:
**logic:** Changed from `Optional[typing.Any]` with `default=None` to required `typing.Any` without default. Will fail validation if `metadata` is missing from API response.

How can I resolve this? If you propose a fix, please make it concise.


config_id: typing.Optional[str] = pydantic_v1.Field(alias="configId", default=None)
"""
Reference a score config on a score. When set, config and score name must be equal and value must comply to optionally defined numerical range
Expand All @@ -40,7 +68,7 @@ class BaseScore(pydantic_v1.BaseModel):
The annotation queue referenced by the score. Indicates if score was initially created while processing annotation queue.
"""

environment: typing.Optional[str] = pydantic_v1.Field(default=None)
environment: str = pydantic_v1.Field()
"""
The environment from which this score originated. Can be any lowercase alphanumeric string with hyphens and underscores that does not start with 'langfuse'.
"""
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logic: Changed from Optional[str] with default=None to required str without default. Will fail validation if environment is missing from API response.

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Path: langfuse/api/resources/commons/types/base_score.py
Line: 71:74

Comment:
**logic:** Changed from `Optional[str]` with `default=None` to required `str` without default. Will fail validation if `environment` is missing from API response.

How can I resolve this? If you propose a fix, please make it concise.

Expand Down
22 changes: 19 additions & 3 deletions langfuse/api/resources/commons/types/base_score_v_1.py
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Expand Up @@ -16,14 +16,30 @@ class BaseScoreV1(pydantic_v1.BaseModel):
observation_id: typing.Optional[str] = pydantic_v1.Field(
alias="observationId", default=None
)
"""
The observation ID associated with the score
"""

timestamp: dt.datetime
created_at: dt.datetime = pydantic_v1.Field(alias="createdAt")
updated_at: dt.datetime = pydantic_v1.Field(alias="updatedAt")
author_user_id: typing.Optional[str] = pydantic_v1.Field(
alias="authorUserId", default=None
)
comment: typing.Optional[str] = None
metadata: typing.Optional[typing.Any] = None
"""
The user ID of the author
"""

comment: typing.Optional[str] = pydantic_v1.Field(default=None)
"""
Comment on the score
"""

metadata: typing.Any = pydantic_v1.Field()
"""
Metadata associated with the score
"""

config_id: typing.Optional[str] = pydantic_v1.Field(alias="configId", default=None)
"""
Reference a score config on a score. When set, config and score name must be equal and value must comply to optionally defined numerical range
Expand All @@ -34,7 +50,7 @@ class BaseScoreV1(pydantic_v1.BaseModel):
The annotation queue referenced by the score. Indicates if score was initially created while processing annotation queue.
"""

environment: typing.Optional[str] = pydantic_v1.Field(default=None)
environment: str = pydantic_v1.Field()
"""
The environment from which this score originated. Can be any lowercase alphanumeric string with hyphens and underscores that does not start with 'langfuse'.
"""
Expand Down
3 changes: 3 additions & 0 deletions langfuse/api/resources/commons/types/comment.py
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Expand Up @@ -19,6 +19,9 @@ class Comment(pydantic_v1.BaseModel):
author_user_id: typing.Optional[str] = pydantic_v1.Field(
alias="authorUserId", default=None
)
"""
The user ID of the comment author
"""

def json(self, **kwargs: typing.Any) -> str:
kwargs_with_defaults: typing.Any = {
Expand Down
12 changes: 10 additions & 2 deletions langfuse/api/resources/commons/types/dataset.py
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Expand Up @@ -10,8 +10,16 @@
class Dataset(pydantic_v1.BaseModel):
id: str
name: str
description: typing.Optional[str] = None
metadata: typing.Optional[typing.Any] = None
description: typing.Optional[str] = pydantic_v1.Field(default=None)
"""
Description of the dataset
"""

metadata: typing.Any = pydantic_v1.Field()
"""
Metadata associated with the dataset
"""

input_schema: typing.Optional[typing.Any] = pydantic_v1.Field(
alias="inputSchema", default=None
)
Expand Down
28 changes: 23 additions & 5 deletions langfuse/api/resources/commons/types/dataset_item.py
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Expand Up @@ -11,17 +11,35 @@
class DatasetItem(pydantic_v1.BaseModel):
id: str
status: DatasetStatus
input: typing.Optional[typing.Any] = None
expected_output: typing.Optional[typing.Any] = pydantic_v1.Field(
alias="expectedOutput", default=None
)
metadata: typing.Optional[typing.Any] = None
input: typing.Any = pydantic_v1.Field()
"""
Input data for the dataset item
"""

expected_output: typing.Any = pydantic_v1.Field(alias="expectedOutput")
"""
Expected output for the dataset item
"""

metadata: typing.Any = pydantic_v1.Field()
"""
Metadata associated with the dataset item
"""
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logic: Changed input, expected_output, and metadata from optional to required without defaults. These fields now must be present in all API responses or deserialization will fail.

Prompt To Fix With AI 
This is a comment left during a code review.
Path: langfuse/api/resources/commons/types/dataset_item.py
Line: 14:27

Comment:
**logic:** Changed `input`, `expected_output`, and `metadata` from optional to required without defaults. These fields now must be present in all API responses or deserialization will fail.

How can I resolve this? If you propose a fix, please make it concise.


source_trace_id: typing.Optional[str] = pydantic_v1.Field(
alias="sourceTraceId", default=None
)
"""
The trace ID that sourced this dataset item
"""

source_observation_id: typing.Optional[str] = pydantic_v1.Field(
alias="sourceObservationId", default=None
)
"""
The observation ID that sourced this dataset item
"""

dataset_id: str = pydantic_v1.Field(alias="datasetId")
dataset_name: str = pydantic_v1.Field(alias="datasetName")
created_at: dt.datetime = pydantic_v1.Field(alias="createdAt")
Expand Down
2 changes: 1 addition & 1 deletion langfuse/api/resources/commons/types/dataset_run.py
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Expand Up @@ -23,7 +23,7 @@ class DatasetRun(pydantic_v1.BaseModel):
Description of the run
"""

metadata: typing.Optional[typing.Any] = pydantic_v1.Field(default=None)
metadata: typing.Any = pydantic_v1.Field()
"""
Metadata of the dataset run
"""
Expand Down
4 changes: 4 additions & 0 deletions langfuse/api/resources/commons/types/dataset_run_item.py
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Expand Up @@ -16,6 +16,10 @@ class DatasetRunItem(pydantic_v1.BaseModel):
observation_id: typing.Optional[str] = pydantic_v1.Field(
alias="observationId", default=None
)
"""
The observation ID associated with this run item
"""

created_at: dt.datetime = pydantic_v1.Field(alias="createdAt")
updated_at: dt.datetime = pydantic_v1.Field(alias="updatedAt")

Expand Down
4 changes: 1 addition & 3 deletions langfuse/api/resources/commons/types/model.py
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Expand Up @@ -74,9 +74,7 @@ class Model(pydantic_v1.BaseModel):
Optional. Tokenizer to be applied to observations which match to this model. See docs for more details.
"""

tokenizer_config: typing.Optional[typing.Any] = pydantic_v1.Field(
alias="tokenizerConfig", default=None
)
tokenizer_config: typing.Any = pydantic_v1.Field(alias="tokenizerConfig")
"""
Optional. Configuration for the selected tokenizer. Needs to be JSON. See docs for more details.
"""
Expand Down
23 changes: 8 additions & 15 deletions langfuse/api/resources/commons/types/observation.py
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Expand Up @@ -5,7 +5,6 @@

from ....core.datetime_utils import serialize_datetime
from ....core.pydantic_utilities import deep_union_pydantic_dicts, pydantic_v1
from .map_value import MapValue
from .observation_level import ObservationLevel
from .usage import Usage

Expand Down Expand Up @@ -55,14 +54,12 @@ class Observation(pydantic_v1.BaseModel):
The model used for the observation
"""

model_parameters: typing.Optional[typing.Dict[str, MapValue]] = pydantic_v1.Field(
alias="modelParameters", default=None
)
model_parameters: typing.Any = pydantic_v1.Field(alias="modelParameters")
"""
The parameters of the model used for the observation
"""
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logic: Changed from Optional[typing.Dict[str, MapValue]] with default=None to required typing.Any field. If the API response doesn't include modelParameters, Pydantic validation will fail during deserialization.

Suggested change
model_parameters: typing.Any = pydantic_v1.Field(alias="modelParameters")
"""
The parameters of the model used for the observation
"""
model_parameters: typing.Any = pydantic_v1.Field(default=None, alias="modelParameters")

Does the API always return modelParameters, metadata, input, output, usage, usageDetails, costDetails, and environment fields in observation responses?

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Path: langfuse/api/resources/commons/types/observation.py
Line: 57:60

Comment:
**logic:** Changed from `Optional[typing.Dict[str, MapValue]]` with `default=None` to required `typing.Any` field. If the API response doesn't include `modelParameters`, Pydantic validation will fail during deserialization.

```suggestion
    model_parameters: typing.Any = pydantic_v1.Field(default=None, alias="modelParameters")
```

 Does the API always return modelParameters, metadata, input, output, usage, usageDetails, costDetails, and environment fields in observation responses?

How can I resolve this? If you propose a fix, please make it concise.


input: typing.Optional[typing.Any] = pydantic_v1.Field(default=None)
input: typing.Any = pydantic_v1.Field()
"""
The input data of the observation
"""
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logic: Changed from optional to required field without default value. This will cause validation errors if API responses don't include input.

Prompt To Fix With AI 
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Path: langfuse/api/resources/commons/types/observation.py
Line: 62:65

Comment:
**logic:** Changed from optional to required field without default value. This will cause validation errors if API responses don't include `input`.

How can I resolve this? If you propose a fix, please make it concise.

Expand All @@ -72,17 +69,17 @@ class Observation(pydantic_v1.BaseModel):
The version of the observation
"""

metadata: typing.Optional[typing.Any] = pydantic_v1.Field(default=None)
metadata: typing.Any = pydantic_v1.Field()
"""
Additional metadata of the observation
"""
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logic: Changed from optional to required without default. Will fail validation if metadata is missing from API response.

Prompt To Fix With AI 
This is a comment left during a code review.
Path: langfuse/api/resources/commons/types/observation.py
Line: 72:75

Comment:
**logic:** Changed from optional to required without default. Will fail validation if `metadata` is missing from API response.

How can I resolve this? If you propose a fix, please make it concise.


output: typing.Optional[typing.Any] = pydantic_v1.Field(default=None)
output: typing.Any = pydantic_v1.Field()
"""
The output data of the observation
"""
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logic: Changed from optional to required without default. Will fail validation if output is missing from API response.

Prompt To Fix With AI 
This is a comment left during a code review.
Path: langfuse/api/resources/commons/types/observation.py
Line: 77:80

Comment:
**logic:** Changed from optional to required without default. Will fail validation if `output` is missing from API response.

How can I resolve this? If you propose a fix, please make it concise.


usage: typing.Optional[Usage] = pydantic_v1.Field(default=None)
usage: Usage = pydantic_v1.Field()
"""
(Deprecated. Use usageDetails and costDetails instead.) The usage data of the observation
"""
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logic: Changed from optional to required without default. Will fail validation if deprecated usage field is missing from API response.

Prompt To Fix With AI 
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Path: langfuse/api/resources/commons/types/observation.py
Line: 82:85

Comment:
**logic:** Changed from optional to required without default. Will fail validation if deprecated `usage` field is missing from API response.

How can I resolve this? If you propose a fix, please make it concise.

Expand Down Expand Up @@ -111,21 +108,17 @@ 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
)
usage_details: typing.Dict[str, int] = pydantic_v1.Field(alias="usageDetails")
"""
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.
"""
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logic: Changed from optional to required without default. Will fail validation if usageDetails is missing from API response.

Prompt To Fix With AI 
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Path: langfuse/api/resources/commons/types/observation.py
Line: 111:114

Comment:
**logic:** Changed from optional to required without default. Will fail validation if `usageDetails` is missing from API response.

How can I resolve this? If you propose a fix, please make it concise.


cost_details: typing.Optional[typing.Dict[str, float]] = pydantic_v1.Field(
alias="costDetails", default=None
)
cost_details: typing.Dict[str, float] = pydantic_v1.Field(alias="costDetails")
"""
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.
"""
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logic: Changed from optional to required without default. Will fail validation if costDetails is missing from API response.

Prompt To Fix With AI 
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Path: langfuse/api/resources/commons/types/observation.py
Line: 116:119

Comment:
**logic:** Changed from optional to required without default. Will fail validation if `costDetails` is missing from API response.

How can I resolve this? If you propose a fix, please make it concise.


environment: typing.Optional[str] = pydantic_v1.Field(default=None)
environment: str = pydantic_v1.Field()
"""
The environment from which this observation originated. Can be any lowercase alphanumeric string with hyphens and underscores that does not start with 'langfuse'.
"""
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logic: Changed from optional to required without default. Will fail validation if environment is missing from API response.

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Path: langfuse/api/resources/commons/types/observation.py
Line: 121:124

Comment:
**logic:** Changed from optional to required without default. Will fail validation if `environment` is missing from API response.

How can I resolve this? If you propose a fix, please make it concise.

Expand Down
12 changes: 6 additions & 6 deletions langfuse/api/resources/commons/types/score.py
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Expand Up @@ -32,10 +32,10 @@ class Score_Numeric(pydantic_v1.BaseModel):
alias="authorUserId", default=None
)
comment: typing.Optional[str] = None
metadata: typing.Optional[typing.Any] = None
metadata: typing.Any
config_id: typing.Optional[str] = pydantic_v1.Field(alias="configId", default=None)
queue_id: typing.Optional[str] = pydantic_v1.Field(alias="queueId", default=None)
environment: typing.Optional[str] = None
environment: str
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logic: Changed metadata from Optional[typing.Any] = None to required typing.Any without default, and environment from Optional[str] = None to required str without default. This pattern is repeated in all three Score variants (Numeric, Categorical, Boolean). API responses missing these fields will fail validation.

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Path: langfuse/api/resources/commons/types/score.py
Line: 35:38

Comment:
**logic:** Changed `metadata` from `Optional[typing.Any] = None` to required `typing.Any` without default, and `environment` from `Optional[str] = None` to required `str` without default. This pattern is repeated in all three Score variants (Numeric, Categorical, Boolean). API responses missing these fields will fail validation.

How can I resolve this? If you propose a fix, please make it concise.

data_type: typing.Literal["NUMERIC"] = pydantic_v1.Field(
alias="dataType", default="NUMERIC"
)
Expand Down Expand Up @@ -97,10 +97,10 @@ class Score_Categorical(pydantic_v1.BaseModel):
alias="authorUserId", default=None
)
comment: typing.Optional[str] = None
metadata: typing.Optional[typing.Any] = None
metadata: typing.Any
config_id: typing.Optional[str] = pydantic_v1.Field(alias="configId", default=None)
queue_id: typing.Optional[str] = pydantic_v1.Field(alias="queueId", default=None)
environment: typing.Optional[str] = None
environment: str
data_type: typing.Literal["CATEGORICAL"] = pydantic_v1.Field(
alias="dataType", default="CATEGORICAL"
)
Expand Down Expand Up @@ -162,10 +162,10 @@ class Score_Boolean(pydantic_v1.BaseModel):
alias="authorUserId", default=None
)
comment: typing.Optional[str] = None
metadata: typing.Optional[typing.Any] = None
metadata: typing.Any
config_id: typing.Optional[str] = pydantic_v1.Field(alias="configId", default=None)
queue_id: typing.Optional[str] = pydantic_v1.Field(alias="queueId", default=None)
environment: typing.Optional[str] = None
environment: str
data_type: typing.Literal["BOOLEAN"] = pydantic_v1.Field(
alias="dataType", default="BOOLEAN"
)
Expand Down
5 changes: 4 additions & 1 deletion langfuse/api/resources/commons/types/score_config.py
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Expand Up @@ -46,7 +46,10 @@ class ScoreConfig(pydantic_v1.BaseModel):
Configures custom categories for categorical scores
"""

description: typing.Optional[str] = None
description: typing.Optional[str] = pydantic_v1.Field(default=None)
"""
Description of the score config
"""

def json(self, **kwargs: typing.Any) -> str:
kwargs_with_defaults: typing.Any = {
Expand Down
12 changes: 6 additions & 6 deletions langfuse/api/resources/commons/types/score_v_1.py
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Expand Up @@ -26,10 +26,10 @@ class ScoreV1_Numeric(pydantic_v1.BaseModel):
alias="authorUserId", default=None
)
comment: typing.Optional[str] = None
metadata: typing.Optional[typing.Any] = None
metadata: typing.Any
config_id: typing.Optional[str] = pydantic_v1.Field(alias="configId", default=None)
queue_id: typing.Optional[str] = pydantic_v1.Field(alias="queueId", default=None)
environment: typing.Optional[str] = None
environment: str
data_type: typing.Literal["NUMERIC"] = pydantic_v1.Field(
alias="dataType", default="NUMERIC"
)
Expand Down Expand Up @@ -85,10 +85,10 @@ class ScoreV1_Categorical(pydantic_v1.BaseModel):
alias="authorUserId", default=None
)
comment: typing.Optional[str] = None
metadata: typing.Optional[typing.Any] = None
metadata: typing.Any
config_id: typing.Optional[str] = pydantic_v1.Field(alias="configId", default=None)
queue_id: typing.Optional[str] = pydantic_v1.Field(alias="queueId", default=None)
environment: typing.Optional[str] = None
environment: str
data_type: typing.Literal["CATEGORICAL"] = pydantic_v1.Field(
alias="dataType", default="CATEGORICAL"
)
Expand Down Expand Up @@ -144,10 +144,10 @@ class ScoreV1_Boolean(pydantic_v1.BaseModel):
alias="authorUserId", default=None
)
comment: typing.Optional[str] = None
metadata: typing.Optional[typing.Any] = None
metadata: typing.Any
config_id: typing.Optional[str] = pydantic_v1.Field(alias="configId", default=None)
queue_id: typing.Optional[str] = pydantic_v1.Field(alias="queueId", default=None)
environment: typing.Optional[str] = None
environment: str
data_type: typing.Literal["BOOLEAN"] = pydantic_v1.Field(
alias="dataType", default="BOOLEAN"
)
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