chore: sync repo

Author: stainless-app[bot]

.github/workflows/ci.yml

@@ -12,7 +12,7 @@ jobs:
   lint:
     timeout-minutes: 10
     name: lint
-    runs-on: ${{ github.repository == 'stainless-sdks/digitalocean-genai-sdk-python' && 'depot-ubuntu-24.04' || 'ubuntu-latest' }}
+    runs-on: ${{ github.repository == 'stainless-sdks/serverless-inference-sdk-prod-python' && 'depot-ubuntu-24.04' || 'ubuntu-latest' }}
     steps:
       - uses: actions/checkout@v4
 
@@ -31,7 +31,7 @@ jobs:
         run: ./scripts/lint
 
   upload:
-    if: github.repository == 'stainless-sdks/digitalocean-genai-sdk-python'
+    if: github.repository == 'stainless-sdks/serverless-inference-sdk-prod-python'
     timeout-minutes: 10
     name: upload
     permissions:
@@ -57,7 +57,7 @@ jobs:
   test:
     timeout-minutes: 10
     name: test
-    runs-on: ${{ github.repository == 'stainless-sdks/digitalocean-genai-sdk-python' && 'depot-ubuntu-24.04' || 'ubuntu-latest' }}
+    runs-on: ${{ github.repository == 'stainless-sdks/serverless-inference-sdk-prod-python' && 'depot-ubuntu-24.04' || 'ubuntu-latest' }}
     steps:
       - uses: actions/checkout@v4
 

.stats.yml

@@ -1,4 +1,4 @@
 configured_endpoints: 126
-openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/digitalocean%2Fdigitalocean-genai-sdk-bdf24159c6ebb5402d6c05a5165cb1501dc37cf6c664baa9eb318efb0f89dddd.yml
+openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/digitalocean%2Fserverless-inference-sdk-prod-bdf24159c6ebb5402d6c05a5165cb1501dc37cf6c664baa9eb318efb0f89dddd.yml
 openapi_spec_hash: 686329a97002025d118dc2367755c18d
-config_hash: 39a1554af43cd406e37b5ed5c943649c
+config_hash: 12e97f0629a2a5d6a96762892ecc1b0c

CONTRIBUTING.md

@@ -17,8 +17,7 @@ $ rye sync --all-features
 You can then run scripts using `rye run python script.py` or by activating the virtual environment:
 
 ```sh
-$ rye shell
-# or manually activate - https://docs.python.org/3/library/venv.html#how-venvs-work
+# Activate the virtual environment - https://docs.python.org/3/library/venv.html#how-venvs-work
 $ source .venv/bin/activate
 
 # now you can omit the `rye run` prefix
@@ -37,7 +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/serverless_inference_sdk_prod/lib/` and `examples/` directories.
 
 ## Adding and running examples
 
@@ -63,7 +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://[email protected]/stainless-sdks/digitalocean-genai-sdk-python.git
+$ pip install git+ssh://[email protected]/stainless-sdks/serverless-inference-sdk-prod-python.git
 ```
 
 Alternatively, you can build from source and install the wheel file:
@@ -121,7 +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/stainless-sdks/digitalocean-genai-sdk-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/stainless-sdks/serverless-inference-sdk-prod-python/actions/workflows/publish-pypi.yml). This requires a setup organization or repository secret to be set up.
 
 ### Publish manually
 

LICENSE

@@ -1,4 +1,4 @@
-Copyright 2025 digitalocean-genai-sdk
+Copyright 2025 serverless-inference-sdk-prod
 
 Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
 

README.md

@@ -1,8 +1,8 @@
-# Digitalocean Genai SDK Python API library
+# Serverless Inference SDK Prod Python API library
 
-[![PyPI version](https://img.shields.io/pypi/v/digitalocean_genai_sdk.svg)](https://pypi.org/project/digitalocean_genai_sdk/)
+[![PyPI version](https://img.shields.io/pypi/v/serverless_inference_sdk_prod.svg)](https://pypi.org/project/serverless_inference_sdk_prod/)
 
-The Digitalocean Genai SDK Python library provides convenient access to the Digitalocean Genai SDK REST API from any Python 3.8+
+The Serverless Inference SDK Prod Python library provides convenient access to the Serverless Inference SDK Prod 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).
 
@@ -16,23 +16,23 @@ The REST API documentation can be found on [help.openai.com](https://help.openai
 
 ```sh
 # install from this staging repo
-pip install git+ssh://[email protected]/stainless-sdks/digitalocean-genai-sdk-python.git
+pip install git+ssh://[email protected]/stainless-sdks/serverless-inference-sdk-prod-python.git
 ```
 
 > [!NOTE]
-> Once this package is [published to PyPI](https://app.stainless.com/docs/guides/publish), this will become: `pip install --pre digitalocean_genai_sdk`
+> Once this package is [published to PyPI](https://app.stainless.com/docs/guides/publish), this will become: `pip install --pre serverless_inference_sdk_prod`
 
 ## Usage
 
 The full API of this library can be found in [api.md](api.md).
 
 ```python
 import os
-from digitalocean_genai_sdk import DigitaloceanGenaiSDK
+from serverless_inference_sdk_prod import ServerlessInferenceSDKProd
 
-client = DigitaloceanGenaiSDK(
+client = ServerlessInferenceSDKProd(
     api_key=os.environ.get(
-        "DIGITALOCEAN_GENAI_SDK_API_KEY"
+        "SERVERLESS_INFERENCE_SDK_PROD_API_KEY"
     ),  # This is the default and can be omitted
 )
 
@@ -42,21 +42,21 @@ print(assistants.first_id)
 
 While you can provide an `api_key` keyword argument,
 we recommend using [python-dotenv](https://pypi.org/project/python-dotenv/)
-to add `DIGITALOCEAN_GENAI_SDK_API_KEY="My API Key"` to your `.env` file
+to add `SERVERLESS_INFERENCE_SDK_PROD_API_KEY="My API Key"` to your `.env` file
 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 `AsyncServerlessInferenceSDKProd` instead of `ServerlessInferenceSDKProd` and use `await` with each API call:
 
 ```python
 import os
 import asyncio
-from digitalocean_genai_sdk import AsyncDigitaloceanGenaiSDK
+from serverless_inference_sdk_prod import AsyncServerlessInferenceSDKProd
 
-client = AsyncDigitaloceanGenaiSDK(
+client = AsyncServerlessInferenceSDKProd(
     api_key=os.environ.get(
-        "DIGITALOCEAN_GENAI_SDK_API_KEY"
+        "SERVERLESS_INFERENCE_SDK_PROD_API_KEY"
     ),  # This is the default and can be omitted
 )
 
@@ -85,25 +85,13 @@ 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
+from serverless_inference_sdk_prod import ServerlessInferenceSDKProd
 
-client = DigitaloceanGenaiSDK()
+client = ServerlessInferenceSDKProd()
 
 assistant_object = client.assistants.create(
     model="gpt-4o",
-    tool_resources={
-        "code_interpreter": {"file_ids": ["string"]},
-        "file_search": {
-            "vector_store_ids": ["string"],
-            "vector_stores": [
-                {
-                    "chunking_strategy": {"type": "auto"},
-                    "file_ids": ["string"],
-                    "metadata": {"foo": "string"},
-                }
-            ],
-        },
-    },
+    tool_resources={},
 )
 print(assistant_object.tool_resources)
 ```
@@ -114,9 +102,9 @@ Request parameters that correspond to file uploads can be passed as `bytes`, or
 
 ```python
 from pathlib import Path
-from digitalocean_genai_sdk import DigitaloceanGenaiSDK
+from serverless_inference_sdk_prod import ServerlessInferenceSDKProd
 
-client = DigitaloceanGenaiSDK()
+client = ServerlessInferenceSDKProd()
 
 client.audio.transcribe_audio(
     file=Path("/path/to/file"),
@@ -128,27 +116,27 @@ The async client uses the exact same interface. If you pass a [`PathLike`](https
 
 ## 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 `serverless_inference_sdk_prod.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 `serverless_inference_sdk_prod.APIStatusError` is raised, containing `status_code` and `response` properties.
 
-All errors inherit from `digitalocean_genai_sdk.APIError`.
+All errors inherit from `serverless_inference_sdk_prod.APIError`.
 
 ```python
-import digitalocean_genai_sdk
-from digitalocean_genai_sdk import DigitaloceanGenaiSDK
+import serverless_inference_sdk_prod
+from serverless_inference_sdk_prod import ServerlessInferenceSDKProd
 
-client = DigitaloceanGenaiSDK()
+client = ServerlessInferenceSDKProd()
 
 try:
     client.assistants.list()
-except digitalocean_genai_sdk.APIConnectionError as e:
+except serverless_inference_sdk_prod.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 serverless_inference_sdk_prod.RateLimitError as e:
     print("A 429 status code was received; we should back off a bit.")
-except digitalocean_genai_sdk.APIStatusError as e:
+except serverless_inference_sdk_prod.APIStatusError as e:
     print("Another non-200-range status code was received")
     print(e.status_code)
     print(e.response)
@@ -176,10 +164,10 @@ 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 serverless_inference_sdk_prod import ServerlessInferenceSDKProd
 
 # Configure the default for all requests:
-client = DigitaloceanGenaiSDK(
+client = ServerlessInferenceSDKProd(
     # default is 2
     max_retries=0,
 )
@@ -194,16 +182,16 @@ 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 serverless_inference_sdk_prod import ServerlessInferenceSDKProd
 
 # Configure the default for all requests:
-client = DigitaloceanGenaiSDK(
+client = ServerlessInferenceSDKProd(
     # 20 seconds (default is 1 minute)
     timeout=20.0,
 )
 
 # More granular control:
-client = DigitaloceanGenaiSDK(
+client = ServerlessInferenceSDKProd(
     timeout=httpx.Timeout(60.0, read=5.0, write=10.0, connect=2.0),
 )
 
@@ -221,10 +209,10 @@ 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 `SERVERLESS_INFERENCE_SDK_PROD_LOG` to `info`.
 
 ```shell
-$ export DIGITALOCEAN_GENAI_SDK_LOG=info
+$ export SERVERLESS_INFERENCE_SDK_PROD_LOG=info
 ```
 
 Or to `debug` for more verbose logging.
@@ -246,19 +234,19 @@ 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 serverless_inference_sdk_prod import ServerlessInferenceSDKProd
 
-client = DigitaloceanGenaiSDK()
+client = ServerlessInferenceSDKProd()
 response = client.assistants.with_raw_response.list()
 print(response.headers.get('X-My-Header'))
 
 assistant = response.parse()  # get the object that `assistants.list()` would have returned
 print(assistant.first_id)
 ```
 
-These methods return an [`APIResponse`](https://github.com/stainless-sdks/digitalocean-genai-sdk-python/tree/main/src/digitalocean_genai_sdk/_response.py) object.
+These methods return an [`APIResponse`](https://github.com/stainless-sdks/serverless-inference-sdk-prod-python/tree/main/src/serverless_inference_sdk_prod/_response.py) object.
 
-The async client returns an [`AsyncAPIResponse`](https://github.com/stainless-sdks/digitalocean-genai-sdk-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/stainless-sdks/serverless-inference-sdk-prod-python/tree/main/src/serverless_inference_sdk_prod/_response.py) with the same structure, the only difference being `await`able methods for reading the response content.
 
 #### `.with_streaming_response`
 
@@ -320,10 +308,10 @@ 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 serverless_inference_sdk_prod import ServerlessInferenceSDKProd, DefaultHttpxClient
 
-client = DigitaloceanGenaiSDK(
-    # Or use the `DIGITALOCEAN_GENAI_SDK_BASE_URL` env var
+client = ServerlessInferenceSDKProd(
+    # Or use the `SERVERLESS_INFERENCE_SDK_PROD_BASE_URL` env var
     base_url="http://my.test.server.example.com:8083",
     http_client=DefaultHttpxClient(
         proxy="http://my.test.proxy.example.com",
@@ -343,9 +331,9 @@ 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 serverless_inference_sdk_prod import ServerlessInferenceSDKProd
 
-with DigitaloceanGenaiSDK() as client:
+with ServerlessInferenceSDKProd() as client:
   # make requests here
   ...
 
@@ -362,7 +350,7 @@ 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/stainless-sdks/digitalocean-genai-sdk-python/issues) with questions, bugs, or suggestions.
+We are keen for your feedback; please open an [issue](https://www.github.com/stainless-sdks/serverless-inference-sdk-prod-python/issues) with questions, bugs, or suggestions.
 
 ### Determining the installed version
 
@@ -371,8 +359,8 @@ 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 serverless_inference_sdk_prod
+print(serverless_inference_sdk_prod.__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 Serverless Inference SDK Prod, please follow the respective company's security reporting guidelines.
 
 ---