release: 1.65.4

.release-please-manifest.json

@@ -1,3 +1,3 @@
 {
-  ".": "1.65.3"
+  ".": "1.65.4"
 }

.stats.yml

@@ -1,2 +1,2 @@
 configured_endpoints: 74
-openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/openai-5d30684c3118d049682ea30cdb4dbef39b97d51667da484689193dc40162af32.yml
+openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/openai-b524aed1c2c5c928aa4e2c546f5dbb364e7b4d5027daf05e42e210b05a97c3c6.yml

CHANGELOG.md

@@ -1,5 +1,13 @@
 # Changelog
 
+## 1.65.4 (2025-03-05)
+
+Full Changelog: [v1.65.3...v1.65.4](https://github.com/openai/openai-python/compare/v1.65.3...v1.65.4)
+
+### Bug Fixes
+
+* **api:** add missing file rank enum + more metadata ([#2164](https://github.com/openai/openai-python/issues/2164)) ([0387e48](https://github.com/openai/openai-python/commit/0387e48e0880e496eb74b60eec9ed76a3171f14d))
+
 ## 1.65.3 (2025-03-04)
 
 Full Changelog: [v1.65.2...v1.65.3](https://github.com/openai/openai-python/compare/v1.65.2...v1.65.3)

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "openai"
-version = "1.65.3"
+version = "1.65.4"
 description = "The official Python library for the openai API"
 dynamic = ["readme"]
 license = "Apache-2.0"

src/openai/_version.py

@@ -1,4 +1,4 @@
 # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 __title__ = "openai"
-__version__ = "1.65.3"  # x-release-please-version
+__version__ = "1.65.4"  # x-release-please-version

src/openai/resources/fine_tuning/jobs/jobs.py

@@ -2,7 +2,7 @@
 
 from __future__ import annotations
 
-from typing import Union, Iterable, Optional
+from typing import Dict, Union, Iterable, Optional
 from typing_extensions import Literal
 
 import httpx
@@ -30,6 +30,7 @@
     make_request_options,
 )
 from ....types.fine_tuning import job_list_params, job_create_params, job_list_events_params
+from ....types.shared_params.metadata import Metadata
 from ....types.fine_tuning.fine_tuning_job import FineTuningJob
 from ....types.fine_tuning.fine_tuning_job_event import FineTuningJobEvent
 
@@ -67,6 +68,7 @@ def create(
         training_file: str,
         hyperparameters: job_create_params.Hyperparameters | NotGiven = NOT_GIVEN,
         integrations: Optional[Iterable[job_create_params.Integration]] | NotGiven = NOT_GIVEN,
+        metadata: Optional[Metadata] | NotGiven = NOT_GIVEN,
         method: job_create_params.Method | NotGiven = NOT_GIVEN,
         seed: Optional[int] | NotGiven = NOT_GIVEN,
         suffix: Optional[str] | NotGiven = NOT_GIVEN,
@@ -114,6 +116,13 @@ def create(
 
           integrations: A list of integrations to enable for your fine-tuning job.
 
+          metadata: Set of 16 key-value pairs that can be attached to an object. This can be useful
+              for storing additional information about the object in a structured format, and
+              querying for objects via API or the dashboard.
+
+              Keys are strings with a maximum length of 64 characters. Values are strings with
+              a maximum length of 512 characters.
+
           method: The method used for fine-tuning.
 
           seed: The seed controls the reproducibility of the job. Passing in the same seed and
@@ -155,6 +164,7 @@ def create(
                     "training_file": training_file,
                     "hyperparameters": hyperparameters,
                     "integrations": integrations,
+                    "metadata": metadata,
                     "method": method,
                     "seed": seed,
                     "suffix": suffix,
@@ -208,6 +218,7 @@ def list(
         *,
         after: str | NotGiven = NOT_GIVEN,
         limit: int | NotGiven = NOT_GIVEN,
+        metadata: Optional[Dict[str, str]] | NotGiven = NOT_GIVEN,
         # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
         # The extra values given here take precedence over values defined on the client or passed to this method.
         extra_headers: Headers | None = None,
@@ -223,6 +234,9 @@ def list(
 
           limit: Number of fine-tuning jobs to retrieve.
 
+          metadata: Optional metadata filter. To filter, use the syntax `metadata[k]=v`.
+              Alternatively, set `metadata=null` to indicate no metadata.
+
           extra_headers: Send extra headers
 
           extra_query: Add additional query parameters to the request
@@ -243,6 +257,7 @@ def list(
                     {
                         "after": after,
                         "limit": limit,
+                        "metadata": metadata,
                     },
                     job_list_params.JobListParams,
                 ),
@@ -365,6 +380,7 @@ async def create(
         training_file: str,
         hyperparameters: job_create_params.Hyperparameters | NotGiven = NOT_GIVEN,
         integrations: Optional[Iterable[job_create_params.Integration]] | NotGiven = NOT_GIVEN,
+        metadata: Optional[Metadata] | NotGiven = NOT_GIVEN,
         method: job_create_params.Method | NotGiven = NOT_GIVEN,
         seed: Optional[int] | NotGiven = NOT_GIVEN,
         suffix: Optional[str] | NotGiven = NOT_GIVEN,
@@ -412,6 +428,13 @@ async def create(
 
           integrations: A list of integrations to enable for your fine-tuning job.
 
+          metadata: Set of 16 key-value pairs that can be attached to an object. This can be useful
+              for storing additional information about the object in a structured format, and
+              querying for objects via API or the dashboard.
+
+              Keys are strings with a maximum length of 64 characters. Values are strings with
+              a maximum length of 512 characters.
+
           method: The method used for fine-tuning.
 
           seed: The seed controls the reproducibility of the job. Passing in the same seed and
@@ -453,6 +476,7 @@ async def create(
                     "training_file": training_file,
                     "hyperparameters": hyperparameters,
                     "integrations": integrations,
+                    "metadata": metadata,
                     "method": method,
                     "seed": seed,
                     "suffix": suffix,
@@ -506,6 +530,7 @@ def list(
         *,
         after: str | NotGiven = NOT_GIVEN,
         limit: int | NotGiven = NOT_GIVEN,
+        metadata: Optional[Dict[str, str]] | NotGiven = NOT_GIVEN,
         # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
         # The extra values given here take precedence over values defined on the client or passed to this method.
         extra_headers: Headers | None = None,
@@ -521,6 +546,9 @@ def list(
 
           limit: Number of fine-tuning jobs to retrieve.
 
+          metadata: Optional metadata filter. To filter, use the syntax `metadata[k]=v`.
+              Alternatively, set `metadata=null` to indicate no metadata.
+
           extra_headers: Send extra headers
 
           extra_query: Add additional query parameters to the request
@@ -541,6 +569,7 @@ def list(
                     {
                         "after": after,
                         "limit": limit,
+                        "metadata": metadata,
                     },
                     job_list_params.JobListParams,
                 ),

src/openai/types/beta/threads/runs/file_search_tool_call.py

@@ -15,8 +15,11 @@
 
 
 class FileSearchRankingOptions(BaseModel):
-    ranker: Literal["default_2024_08_21"]
-    """The ranker used for the file search."""
+    ranker: Literal["auto", "default_2024_08_21"]
+    """The ranker to use for the file search.
+
+    If not specified will use the `auto` ranker.
+    """
 
     score_threshold: float
     """The score threshold for the file search.

src/openai/types/fine_tuning/fine_tuning_job.py

@@ -4,6 +4,7 @@
 from typing_extensions import Literal
 
 from ..._models import BaseModel
+from ..shared.metadata import Metadata
 from .fine_tuning_job_wandb_integration_object import FineTuningJobWandbIntegrationObject
 
 __all__ = [
@@ -208,5 +209,15 @@ class FineTuningJob(BaseModel):
     integrations: Optional[List[FineTuningJobWandbIntegrationObject]] = None
     """A list of integrations to enable for this fine-tuning job."""
 
+    metadata: Optional[Metadata] = None
+    """Set of 16 key-value pairs that can be attached to an object.
+
+    This can be useful for storing additional information about the object in a
+    structured format, and querying for objects via API or the dashboard.
+
+    Keys are strings with a maximum length of 64 characters. Values are strings with
+    a maximum length of 512 characters.
+    """
+
     method: Optional[Method] = None
     """The method used for fine-tuning."""

src/openai/types/fine_tuning/job_create_params.py

@@ -5,6 +5,8 @@
 from typing import List, Union, Iterable, Optional
 from typing_extensions import Literal, Required, TypedDict
 
+from ..shared_params.metadata import Metadata
+
 __all__ = [
     "JobCreateParams",
     "Hyperparameters",
@@ -55,6 +57,16 @@ class JobCreateParams(TypedDict, total=False):
     integrations: Optional[Iterable[Integration]]
     """A list of integrations to enable for your fine-tuning job."""
 
+    metadata: Optional[Metadata]
+    """Set of 16 key-value pairs that can be attached to an object.
+
+    This can be useful for storing additional information about the object in a
+    structured format, and querying for objects via API or the dashboard.
+
+    Keys are strings with a maximum length of 64 characters. Values are strings with
+    a maximum length of 512 characters.
+    """
+
     method: Method
     """The method used for fine-tuning."""
 

src/openai/types/fine_tuning/job_list_params.py

@@ -2,6 +2,7 @@
 
 from __future__ import annotations
 
+from typing import Dict, Optional
 from typing_extensions import TypedDict
 
 __all__ = ["JobListParams"]
@@ -13,3 +14,10 @@ class JobListParams(TypedDict, total=False):
 
     limit: int
     """Number of fine-tuning jobs to retrieve."""
+
+    metadata: Optional[Dict[str, str]]
+    """Optional metadata filter.
+
+    To filter, use the syntax `metadata[k]=v`. Alternatively, set `metadata=null` to
+    indicate no metadata.
+    """

tests/api_resources/fine_tuning/test_jobs.py

@@ -50,6 +50,7 @@ def test_method_create_with_all_params(self, client: OpenAI) -> None:
                     },
                 }
             ],
+            metadata={"foo": "string"},
             method={
                 "dpo": {
                     "hyperparameters": {
@@ -148,6 +149,7 @@ def test_method_list_with_all_params(self, client: OpenAI) -> None:
         job = client.fine_tuning.jobs.list(
             after="string",
             limit=0,
+            metadata={"foo": "string"},
         )
         assert_matches_type(SyncCursorPage[FineTuningJob], job, path=["response"])
 
@@ -289,6 +291,7 @@ async def test_method_create_with_all_params(self, async_client: AsyncOpenAI) ->
                     },
                 }
             ],
+            metadata={"foo": "string"},
             method={
                 "dpo": {
                     "hyperparameters": {
@@ -387,6 +390,7 @@ async def test_method_list_with_all_params(self, async_client: AsyncOpenAI) -> N
         job = await async_client.fine_tuning.jobs.list(
             after="string",
             limit=0,
+            metadata={"foo": "string"},
         )
         assert_matches_type(AsyncCursorPage[FineTuningJob], job, path=["response"])