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release: 3.0.1 (#43)
* fix: add proto to default inference url (#52) * release: 3.0.1 --------- Co-authored-by: Ben Batha <bbatha@digitalocean.com> Co-authored-by: stainless-app[bot] <142633134+stainless-app[bot]@users.noreply.github.com>
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‎.release-please-manifest.json‎

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{
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".": "3.0.0"
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".": "3.0.1"
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}

‎CHANGELOG.md‎

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# Changelog
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## 3.0.1 (2025-09-24)
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Full Changelog: [v3.0.0...v3.0.1](https://github.com/digitalocean/gradient-python/compare/v3.0.0...v3.0.1)
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### Bug Fixes
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* add proto to default inference url ([#52](https://github.com/digitalocean/gradient-python/issues/52)) ([108d7cb](https://github.com/digitalocean/gradient-python/commit/108d7cb79f4d9046136cbc03cf92056575d04f7a))
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## 3.0.0 (2025-09-18)
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Full Changelog: [v3.0.0-beta.6...v3.0.0](https://github.com/digitalocean/gradient-python/compare/v3.0.0-beta.6...v3.0.0)

‎pyproject.toml‎

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[project]
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name = "gradient"
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version = "3.0.0"
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version = "3.0.1"
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description = "The official Python library for the Gradient API"
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dynamic = ["readme"]
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license = "Apache-2.0"

‎src/gradient/_client.py‎

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Original file line numberDiff line numberDiff line change
@@ -133,7 +133,10 @@ def __init__(
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self._agent_endpoint = agent_endpoint
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if inference_endpoint is None:
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inference_endpoint = os.environ.get("GRADIENT_INFERENCE_ENDPOINT") or "inference.do-ai.run"
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inference_endpoint = (
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os.environ.get("GRADIENT_INFERENCE_ENDPOINT")
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or "https://inference.do-ai.run"
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)
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self.inference_endpoint = inference_endpoint
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if base_url is None:
@@ -250,7 +253,9 @@ def default_headers(self) -> dict[str, str | Omit]:
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@override
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def _validate_headers(self, headers: Headers, custom_headers: Headers) -> None:
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if (self.access_token or self.agent_access_key or self.model_access_key) and headers.get("Authorization"):
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if (
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self.access_token or self.agent_access_key or self.model_access_key
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) and headers.get("Authorization"):
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return
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if isinstance(custom_headers.get("Authorization"), Omit):
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return
@@ -283,10 +288,14 @@ def copy(
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Create a new client instance re-using the same options given to the current client with optional overriding.
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"""
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if default_headers is not None and set_default_headers is not None:
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raise ValueError("The `default_headers` and `set_default_headers` arguments are mutually exclusive")
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raise ValueError(
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"The `default_headers` and `set_default_headers` arguments are mutually exclusive"
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)
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if default_query is not None and set_default_query is not None:
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raise ValueError("The `default_query` and `set_default_query` arguments are mutually exclusive")
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raise ValueError(
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"The `default_query` and `set_default_query` arguments are mutually exclusive"
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)
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headers = self._custom_headers
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if default_headers is not None:
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return _exceptions.BadRequestError(err_msg, response=response, body=body)
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if response.status_code == 401:
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return _exceptions.AuthenticationError(err_msg, response=response, body=body)
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return _exceptions.AuthenticationError(
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err_msg, response=response, body=body
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)
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if response.status_code == 403:
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return _exceptions.PermissionDeniedError(err_msg, response=response, body=body)
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return _exceptions.PermissionDeniedError(
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err_msg, response=response, body=body
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)
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if response.status_code == 404:
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return _exceptions.NotFoundError(err_msg, response=response, body=body)
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return _exceptions.ConflictError(err_msg, response=response, body=body)
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if response.status_code == 422:
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return _exceptions.UnprocessableEntityError(err_msg, response=response, body=body)
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return _exceptions.UnprocessableEntityError(
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err_msg, response=response, body=body
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)
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if response.status_code == 429:
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return _exceptions.RateLimitError(err_msg, response=response, body=body)
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if response.status_code >= 500:
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return _exceptions.InternalServerError(err_msg, response=response, body=body)
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return _exceptions.InternalServerError(
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err_msg, response=response, body=body
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)
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return APIStatusError(err_msg, response=response, body=body)
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self._agent_endpoint = agent_endpoint
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424441
if inference_endpoint is None:
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inference_endpoint = os.environ.get("GRADIENT_INFERENCE_ENDPOINT") or "inference.do-ai.run"
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inference_endpoint = (
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os.environ.get("GRADIENT_INFERENCE_ENDPOINT")
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or "https://inference.do-ai.run"
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)
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self.inference_endpoint = inference_endpoint
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if base_url is None:
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@override
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def _validate_headers(self, headers: Headers, custom_headers: Headers) -> None:
542-
if (self.access_token or self.agent_access_key or self.model_access_key) and headers.get("Authorization"):
562+
if (
563+
self.access_token or self.agent_access_key or self.model_access_key
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) and headers.get("Authorization"):
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return
544566
if isinstance(custom_headers.get("Authorization"), Omit):
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return
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Create a new client instance re-using the same options given to the current client with optional overriding.
573595
"""
574596
if default_headers is not None and set_default_headers is not None:
575-
raise ValueError("The `default_headers` and `set_default_headers` arguments are mutually exclusive")
597+
raise ValueError(
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"The `default_headers` and `set_default_headers` arguments are mutually exclusive"
599+
)
576600

577601
if default_query is not None and set_default_query is not None:
578-
raise ValueError("The `default_query` and `set_default_query` arguments are mutually exclusive")
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raise ValueError(
603+
"The `default_query` and `set_default_query` arguments are mutually exclusive"
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)
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headers = self._custom_headers
581607
if default_headers is not None:
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625651
return _exceptions.BadRequestError(err_msg, response=response, body=body)
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627653
if response.status_code == 401:
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return _exceptions.AuthenticationError(err_msg, response=response, body=body)
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return _exceptions.AuthenticationError(
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err_msg, response=response, body=body
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)
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630658
if response.status_code == 403:
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return _exceptions.PermissionDeniedError(err_msg, response=response, body=body)
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return _exceptions.PermissionDeniedError(
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err_msg, response=response, body=body
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)
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633663
if response.status_code == 404:
634664
return _exceptions.NotFoundError(err_msg, response=response, body=body)
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return _exceptions.ConflictError(err_msg, response=response, body=body)
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if response.status_code == 422:
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return _exceptions.UnprocessableEntityError(err_msg, response=response, body=body)
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return _exceptions.UnprocessableEntityError(
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err_msg, response=response, body=body
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)
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if response.status_code == 429:
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return _exceptions.RateLimitError(err_msg, response=response, body=body)
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645677
if response.status_code >= 500:
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return _exceptions.InternalServerError(err_msg, response=response, body=body)
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return _exceptions.InternalServerError(
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err_msg, response=response, body=body
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)
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return APIStatusError(err_msg, response=response, body=body)
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862896
AsyncKnowledgeBasesResourceWithStreamingResponse,
863897
)
864898

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return AsyncKnowledgeBasesResourceWithStreamingResponse(self._client.knowledge_bases)
899+
return AsyncKnowledgeBasesResourceWithStreamingResponse(
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self._client.knowledge_bases
901+
)
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867903
@cached_property
868904
def models(self) -> models.AsyncModelsResourceWithStreamingResponse:

‎src/gradient/_version.py‎

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# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
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__title__ = "gradient"
4-
__version__ = "3.0.0" # x-release-please-version
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__version__ = "3.0.1" # x-release-please-version

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