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Commit 1adc754

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chore: update OpenAPI spec and rebuild SDKs
1 parent 5203577 commit 1adc754

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8 files changed

+48
-9
lines changed

8 files changed

+48
-9
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‎.stats.yml‎

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@@ -1,4 +1,4 @@
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configured_endpoints: 36
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openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/replicate%2Freplicate-client-a7e12a7c7df8c6596c7ca7d1ee26992bf3dcca90b553a66e15118fcd892e27f6.yml
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openapi_spec_hash: 33ca30d22504063d2248459550f9cb3b
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openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/replicate%2Freplicate-client-a6a1d53117b661ccba3fa9893e4598b8b21448cda3edbc907c4b8085d352203a.yml
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openapi_spec_hash: c1d5f3fe94e8f93f3d4247a5df7e3e7b
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config_hash: 407acf62c906ee301314f2d23cdb58b1

‎src/replicate/resources/predictions.py‎

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@@ -448,7 +448,9 @@ def get(
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Terminated predictions (with a status of `succeeded`, `failed`, or `canceled`)
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will include a `metrics` object with a `predict_time` property showing the
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amount of CPU or GPU time, in seconds, that the prediction used while running.
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It won't include time waiting for the prediction to start.
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It won't include time waiting for the prediction to start. The `metrics` object
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will also include a `total_time` property showing the total time, in seconds,
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that the prediction took to complete.
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All input parameters, output values, and logs are automatically removed after an
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hour, by default, for predictions created through the API.
@@ -901,7 +903,9 @@ async def get(
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Terminated predictions (with a status of `succeeded`, `failed`, or `canceled`)
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will include a `metrics` object with a `predict_time` property showing the
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amount of CPU or GPU time, in seconds, that the prediction used while running.
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It won't include time waiting for the prediction to start.
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It won't include time waiting for the prediction to start. The `metrics` object
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will also include a `total_time` property showing the total time, in seconds,
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that the prediction took to complete.
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All input parameters, output values, and logs are automatically removed after an
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hour, by default, for predictions created through the API.

‎src/replicate/resources/trainings.py‎

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Original file line numberDiff line numberDiff line change
@@ -390,7 +390,9 @@ def get(
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Terminated trainings (with a status of `succeeded`, `failed`, or `canceled`)
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will include a `metrics` object with a `predict_time` property showing the
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amount of CPU or GPU time, in seconds, that the training used while running. It
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won't include time waiting for the training to start.
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won't include time waiting for the training to start. The `metrics` object will
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also include a `total_time` property showing the total time, in seconds, that
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the training took to complete.
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Args:
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extra_headers: Send extra headers
@@ -774,7 +776,9 @@ async def get(
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Terminated trainings (with a status of `succeeded`, `failed`, or `canceled`)
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will include a `metrics` object with a `predict_time` property showing the
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amount of CPU or GPU time, in seconds, that the training used while running. It
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won't include time waiting for the training to start.
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won't include time waiting for the training to start. The `metrics` object will
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also include a `total_time` property showing the total time, in seconds, that
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the training took to complete.
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Args:
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extra_headers: Send extra headers

‎src/replicate/types/prediction.py‎

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Original file line numberDiff line numberDiff line change
@@ -1,12 +1,14 @@
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# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
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3-
from typing import Dict, Union, Optional
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from typing import TYPE_CHECKING, Dict, Union, Optional
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from datetime import datetime
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from typing_extensions import Literal
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from pydantic import Field as FieldInfo
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from .._models import BaseModel
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__all__ = ["Prediction", "URLs"]
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__all__ = ["Prediction", "URLs", "Metrics"]
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class URLs(BaseModel):
@@ -23,6 +25,23 @@ class URLs(BaseModel):
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"""An event source to stream the output of the prediction via API"""
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class Metrics(BaseModel):
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total_time: Optional[float] = None
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"""The total time, in seconds, that the prediction took to complete"""
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if TYPE_CHECKING:
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# Some versions of Pydantic <2.8.0 have a bug and don’t allow assigning a
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# value to this field, so for compatibility we avoid doing it at runtime.
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__pydantic_extra__: Dict[str, object] = FieldInfo(init=False) # pyright: ignore[reportIncompatibleVariableOverride]
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# Stub to indicate that arbitrary properties are accepted.
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# To access properties that are not valid identifiers you can use `getattr`, e.g.
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# `getattr(obj, '$type')`
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def __getattr__(self, attr: str) -> object: ...
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else:
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__pydantic_extra__: Dict[str, object]
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class Prediction(BaseModel):
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id: str
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@@ -64,7 +83,7 @@ class Prediction(BaseModel):
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logs: Optional[str] = None
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"""The log output from the model"""
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metrics: Optional[Dict[str, object]] = None
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metrics: Optional[Metrics] = None
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"""Additional metrics associated with the prediction"""
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started_at: Optional[datetime] = None

‎src/replicate/types/training_cancel_response.py‎

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@@ -13,6 +13,9 @@ class Metrics(BaseModel):
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predict_time: Optional[float] = None
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"""The amount of CPU or GPU time, in seconds, that the training used while running"""
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total_time: Optional[float] = None
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"""The total time, in seconds, that the training took to complete"""
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class Output(BaseModel):
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version: Optional[str] = None

‎src/replicate/types/training_create_response.py‎

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@@ -13,6 +13,9 @@ class Metrics(BaseModel):
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predict_time: Optional[float] = None
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"""The amount of CPU or GPU time, in seconds, that the training used while running"""
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total_time: Optional[float] = None
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"""The total time, in seconds, that the training took to complete"""
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class Output(BaseModel):
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version: Optional[str] = None

‎src/replicate/types/training_get_response.py‎

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@@ -13,6 +13,9 @@ class Metrics(BaseModel):
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predict_time: Optional[float] = None
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"""The amount of CPU or GPU time, in seconds, that the training used while running"""
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total_time: Optional[float] = None
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"""The total time, in seconds, that the training took to complete"""
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class Output(BaseModel):
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version: Optional[str] = None

‎src/replicate/types/training_list_response.py‎

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@@ -13,6 +13,9 @@ class Metrics(BaseModel):
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predict_time: Optional[float] = None
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"""The amount of CPU or GPU time, in seconds, that the training used while running"""
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total_time: Optional[float] = None
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"""The total time, in seconds, that the training took to complete"""
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class Output(BaseModel):
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version: Optional[str] = None

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