feat(api): update via SDK Studio

Author: stainless-app[bot]

.github/workflows/create-releases.yml

@@ -0,0 +1,38 @@
+name: Create releases
+on:
+  schedule:
+    - cron: '0 5 * * *' # every day at 5am UTC
+  push:
+    branches:
+      - main
+
+jobs:
+  release:
+    name: release
+    if: github.ref == 'refs/heads/main' && github.repository == 'digitalocean/gradientai-python'
+    runs-on: ubuntu-latest
+
+    steps:
+      - uses: actions/checkout@v4
+
+      - uses: stainless-api/trigger-release-please@v1
+        id: release
+        with:
+          repo: ${{ github.event.repository.full_name }}
+          stainless-api-key: ${{ secrets.STAINLESS_API_KEY }}
+
+      - name: Install Rye
+        if: ${{ steps.release.outputs.releases_created }}
+        run: |
+          curl -sSf https://rye.astral.sh/get | bash
+          echo "$HOME/.rye/shims" >> $GITHUB_PATH
+        env:
+          RYE_VERSION: '0.44.0'
+          RYE_INSTALL_OPTION: '--yes'
+
+      - name: Publish to PyPI
+        if: ${{ steps.release.outputs.releases_created }}
+        run: |
+          bash ./bin/publish-pypi
+        env:
+          PYPI_TOKEN: ${{ secrets.GRADIENT_AI_PYPI_TOKEN || secrets.PYPI_TOKEN }}

.github/workflows/publish-pypi.yml

@@ -1,13 +1,9 @@
-# This workflow is triggered when a GitHub release is created.
-# It can also be run manually to re-publish to PyPI in case it failed for some reason.
-# You can run this workflow by navigating to https://www.github.com/digitalocean/genai-python/actions/workflows/publish-pypi.yml
+# workflow for re-running publishing to PyPI in case it fails for some reason
+# you can run this workflow by navigating to https://www.github.com/digitalocean/gradientai-python/actions/workflows/publish-pypi.yml
 name: Publish PyPI
 on:
   workflow_dispatch:
 
-  release:
-    types: [published]
-
 jobs:
   publish:
     name: publish
@@ -28,4 +24,4 @@ jobs:
         run: |
           bash ./bin/publish-pypi
         env:
-          PYPI_TOKEN: ${{ secrets.DIGITALOCEAN_GENAI_SDK_PYPI_TOKEN || secrets.PYPI_TOKEN }}
+          PYPI_TOKEN: ${{ secrets.GRADIENT_AI_PYPI_TOKEN || secrets.PYPI_TOKEN }}

.github/workflows/release-doctor.yml

@@ -9,7 +9,7 @@ jobs:
   release_doctor:
     name: release doctor
     runs-on: ubuntu-latest
-    if: github.repository == 'digitalocean/genai-python' && (github.event_name == 'push' || github.event_name == 'workflow_dispatch' || startsWith(github.head_ref, 'release-please') || github.head_ref == 'next')
+    if: github.repository == 'digitalocean/gradientai-python' && (github.event_name == 'push' || github.event_name == 'workflow_dispatch' || startsWith(github.head_ref, 'release-please') || github.head_ref == 'next')
 
     steps:
       - uses: actions/checkout@v4
@@ -18,4 +18,5 @@ jobs:
         run: |
           bash ./bin/check-release-environment
         env:
-          PYPI_TOKEN: ${{ secrets.DIGITALOCEAN_GENAI_SDK_PYPI_TOKEN || secrets.PYPI_TOKEN }}
+          STAINLESS_API_KEY: ${{ secrets.STAINLESS_API_KEY }}
+          PYPI_TOKEN: ${{ secrets.GRADIENT_AI_PYPI_TOKEN || secrets.PYPI_TOKEN }}

.stats.yml

@@ -1,4 +1,4 @@
-configured_endpoints: 60
+configured_endpoints: 6
 openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/digitalocean%2Fdigitalocean-genai-sdk-17838dec38ee8475c4bf4695b8dc70fe42a8f4da8ae9ffd415dc895b6628a952.yml
 openapi_spec_hash: cfe5453e150989c8a9dbc9d7b4d1f76a
-config_hash: 565bf6264bdf2a317cc5e2f02d02a702
+config_hash: 69dc66269416b2e01e8852b5a6788b97

CONTRIBUTING.md

@@ -36,7 +36,7 @@ $ pip install -r requirements-dev.lock
 
 Most of the SDK is generated code. Modifications to code will be persisted between generations, but may
 result in merge conflicts between manual patches and changes from the generator. The generator will never
-modify the contents of the `src/digitalocean_genai_sdk/lib/` and `examples/` directories.
+modify the contents of the `src/gradientai/lib/` and `examples/` directories.
 
 ## Adding and running examples
 
@@ -62,7 +62,7 @@ If you’d like to use the repository from source, you can either install from g
 To install via git:
 
 ```sh
-$ pip install git+ssh://git@github.com/digitalocean/genai-python.git
+$ pip install git+ssh://git@github.com/digitalocean/gradientai-python.git
 ```
 
 Alternatively, you can build from source and install the wheel file:
@@ -120,7 +120,7 @@ the changes aren't made through the automated pipeline, you may want to make rel
 
 ### Publish with a GitHub workflow
 
-You can release to package managers by using [the `Publish PyPI` GitHub action](https://www.github.com/digitalocean/genai-python/actions/workflows/publish-pypi.yml). This requires a setup organization or repository secret to be set up.
+You can release to package managers by using [the `Publish PyPI` GitHub action](https://www.github.com/digitalocean/gradientai-python/actions/workflows/publish-pypi.yml). This requires a setup organization or repository secret to be set up.
 
 ### Publish manually
 

LICENSE

@@ -186,7 +186,7 @@
       same "printed page" as the copyright notice for easier
       identification within third-party archives.
 
-   Copyright 2025 Digitalocean Genai SDK
+   Copyright 2025 Gradient AI
 
    Licensed under the Apache License, Version 2.0 (the "License");
    you may not use this file except in compliance with the License.

README.md

@@ -1,8 +1,8 @@
-# Digitalocean Genai SDK Python API library
+# Gradient AI Python API library
 
 [![PyPI version](https://img.shields.io/pypi/v/c63a5cfe-b235-4fbe-8bbb-82a9e02a482a-python.svg)](https://pypi.org/project/c63a5cfe-b235-4fbe-8bbb-82a9e02a482a-python/)
 
-The Digitalocean Genai SDK Python library provides convenient access to the Digitalocean Genai SDK REST API from any Python 3.8+
+The Gradient AI Python library provides convenient access to the Gradient AI REST API from any Python 3.8+
 application. The library includes type definitions for all request params and response fields,
 and offers both synchronous and asynchronous clients powered by [httpx](https://github.com/encode/httpx).
 
@@ -25,9 +25,9 @@ The full API of this library can be found in [api.md](api.md).
 
 ```python
 import os
-from digitalocean_genai_sdk import DigitaloceanGenaiSDK
+from gradientai import GradientAI
 
-client = DigitaloceanGenaiSDK(
+client = GradientAI(
     api_key=os.environ.get(
         "DIGITALOCEAN_GENAI_SDK_API_KEY"
     ),  # This is the default and can be omitted
@@ -46,14 +46,14 @@ so that your API Key is not stored in source control.
 
 ## Async usage
 
-Simply import `AsyncDigitaloceanGenaiSDK` instead of `DigitaloceanGenaiSDK` and use `await` with each API call:
+Simply import `AsyncGradientAI` instead of `GradientAI` and use `await` with each API call:
 
 ```python
 import os
 import asyncio
-from digitalocean_genai_sdk import AsyncDigitaloceanGenaiSDK
+from gradientai import AsyncGradientAI
 
-client = AsyncDigitaloceanGenaiSDK(
+client = AsyncGradientAI(
     api_key=os.environ.get(
         "DIGITALOCEAN_GENAI_SDK_API_KEY"
     ),  # This is the default and can be omitted
@@ -86,42 +86,48 @@ Typed requests and responses provide autocomplete and documentation within your
 Nested parameters are dictionaries, typed using `TypedDict`, for example:
 
 ```python
-from digitalocean_genai_sdk import DigitaloceanGenaiSDK
-
-client = DigitaloceanGenaiSDK()
-
-data_source = client.knowledge_bases.data_sources.create(
-    path_knowledge_base_uuid="knowledge_base_uuid",
-    aws_data_source={},
+from gradientai import GradientAI
+
+client = GradientAI()
+
+response = client.chat.create_completion(
+    messages=[
+        {
+            "content": "string",
+            "role": "system",
+        }
+    ],
+    model="llama3-8b-instruct",
+    stream_options={},
 )
-print(data_source.aws_data_source)
+print(response.stream_options)
 ```
 
 ## Handling errors
 
-When the library is unable to connect to the API (for example, due to network connection problems or a timeout), a subclass of `digitalocean_genai_sdk.APIConnectionError` is raised.
+When the library is unable to connect to the API (for example, due to network connection problems or a timeout), a subclass of `gradientai.APIConnectionError` is raised.
 
 When the API returns a non-success status code (that is, 4xx or 5xx
-response), a subclass of `digitalocean_genai_sdk.APIStatusError` is raised, containing `status_code` and `response` properties.
+response), a subclass of `gradientai.APIStatusError` is raised, containing `status_code` and `response` properties.
 
-All errors inherit from `digitalocean_genai_sdk.APIError`.
+All errors inherit from `gradientai.APIError`.
 
 ```python
-import digitalocean_genai_sdk
-from digitalocean_genai_sdk import DigitaloceanGenaiSDK
+import gradientai
+from gradientai import GradientAI
 
-client = DigitaloceanGenaiSDK()
+client = GradientAI()
 
 try:
     client.agents.versions.list(
         uuid="REPLACE_ME",
     )
-except digitalocean_genai_sdk.APIConnectionError as e:
+except gradientai.APIConnectionError as e:
     print("The server could not be reached")
     print(e.__cause__)  # an underlying Exception, likely raised within httpx.
-except digitalocean_genai_sdk.RateLimitError as e:
+except gradientai.RateLimitError as e:
     print("A 429 status code was received; we should back off a bit.")
-except digitalocean_genai_sdk.APIStatusError as e:
+except gradientai.APIStatusError as e:
     print("Another non-200-range status code was received")
     print(e.status_code)
     print(e.response)
@@ -149,10 +155,10 @@ Connection errors (for example, due to a network connectivity problem), 408 Requ
 You can use the `max_retries` option to configure or disable retry settings:
 
 ```python
-from digitalocean_genai_sdk import DigitaloceanGenaiSDK
+from gradientai import GradientAI
 
 # Configure the default for all requests:
-client = DigitaloceanGenaiSDK(
+client = GradientAI(
     # default is 2
     max_retries=0,
 )
@@ -169,16 +175,16 @@ By default requests time out after 1 minute. You can configure this with a `time
 which accepts a float or an [`httpx.Timeout`](https://www.python-httpx.org/advanced/#fine-tuning-the-configuration) object:
 
 ```python
-from digitalocean_genai_sdk import DigitaloceanGenaiSDK
+from gradientai import GradientAI
 
 # Configure the default for all requests:
-client = DigitaloceanGenaiSDK(
+client = GradientAI(
     # 20 seconds (default is 1 minute)
     timeout=20.0,
 )
 
 # More granular control:
-client = DigitaloceanGenaiSDK(
+client = GradientAI(
     timeout=httpx.Timeout(60.0, read=5.0, write=10.0, connect=2.0),
 )
 
@@ -198,10 +204,10 @@ Note that requests that time out are [retried twice by default](#retries).
 
 We use the standard library [`logging`](https://docs.python.org/3/library/logging.html) module.
 
-You can enable logging by setting the environment variable `DIGITALOCEAN_GENAI_SDK_LOG` to `info`.
+You can enable logging by setting the environment variable `GRADIENT_AI_LOG` to `info`.
 
 ```shell
-$ export DIGITALOCEAN_GENAI_SDK_LOG=info
+$ export GRADIENT_AI_LOG=info
 ```
 
 Or to `debug` for more verbose logging.
@@ -223,9 +229,9 @@ if response.my_field is None:
 The "raw" Response object can be accessed by prefixing `.with_raw_response.` to any HTTP method call, e.g.,
 
 ```py
-from digitalocean_genai_sdk import DigitaloceanGenaiSDK
+from gradientai import GradientAI
 
-client = DigitaloceanGenaiSDK()
+client = GradientAI()
 response = client.agents.versions.with_raw_response.list(
     uuid="REPLACE_ME",
 )
@@ -235,9 +241,9 @@ version = response.parse()  # get the object that `agents.versions.list()` would
 print(version.agent_versions)
 ```
 
-These methods return an [`APIResponse`](https://github.com/digitalocean/genai-python/tree/main/src/digitalocean_genai_sdk/_response.py) object.
+These methods return an [`APIResponse`](https://github.com/digitalocean/gradientai-python/tree/main/src/gradientai/_response.py) object.
 
-The async client returns an [`AsyncAPIResponse`](https://github.com/digitalocean/genai-python/tree/main/src/digitalocean_genai_sdk/_response.py) with the same structure, the only difference being `await`able methods for reading the response content.
+The async client returns an [`AsyncAPIResponse`](https://github.com/digitalocean/gradientai-python/tree/main/src/gradientai/_response.py) with the same structure, the only difference being `await`able methods for reading the response content.
 
 #### `.with_streaming_response`
 
@@ -301,10 +307,10 @@ You can directly override the [httpx client](https://www.python-httpx.org/api/#c
 
 ```python
 import httpx
-from digitalocean_genai_sdk import DigitaloceanGenaiSDK, DefaultHttpxClient
+from gradientai import GradientAI, DefaultHttpxClient
 
-client = DigitaloceanGenaiSDK(
-    # Or use the `DIGITALOCEAN_GENAI_SDK_BASE_URL` env var
+client = GradientAI(
+    # Or use the `GRADIENT_AI_BASE_URL` env var
     base_url="http://my.test.server.example.com:8083",
     http_client=DefaultHttpxClient(
         proxy="http://my.test.proxy.example.com",
@@ -324,9 +330,9 @@ client.with_options(http_client=DefaultHttpxClient(...))
 By default the library closes underlying HTTP connections whenever the client is [garbage collected](https://docs.python.org/3/reference/datamodel.html#object.__del__). You can manually close the client using the `.close()` method if desired, or with a context manager that closes when exiting.
 
 ```py
-from digitalocean_genai_sdk import DigitaloceanGenaiSDK
+from gradientai import GradientAI
 
-with DigitaloceanGenaiSDK() as client:
+with GradientAI() as client:
   # make requests here
   ...
 
@@ -343,7 +349,7 @@ This package generally follows [SemVer](https://semver.org/spec/v2.0.0.html) con
 
 We take backwards-compatibility seriously and work hard to ensure you can rely on a smooth upgrade experience.
 
-We are keen for your feedback; please open an [issue](https://www.github.com/digitalocean/genai-python/issues) with questions, bugs, or suggestions.
+We are keen for your feedback; please open an [issue](https://www.github.com/digitalocean/gradientai-python/issues) with questions, bugs, or suggestions.
 
 ### Determining the installed version
 
@@ -352,8 +358,8 @@ If you've upgraded to the latest version but aren't seeing any new features you
 You can determine the version that is being used at runtime with:
 
 ```py
-import digitalocean_genai_sdk
-print(digitalocean_genai_sdk.__version__)
+import gradientai
+print(gradientai.__version__)
 ```
 
 ## Requirements

SECURITY.md

@@ -16,7 +16,7 @@ before making any information public.
 ## Reporting Non-SDK Related Security Issues
 
 If you encounter security issues that are not directly related to SDKs but pertain to the services
-or products provided by Digitalocean Genai SDK, please follow the respective company's security reporting guidelines.
+or products provided by Gradient AI, please follow the respective company's security reporting guidelines.
 
 ---