feat(api): update via SDK Studio

Author: stainless-app[bot]

.stats.yml

@@ -1,2 +1,2 @@
 configured_endpoints: 30
-openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/contextual-ai%2Fsunrise-798cfd0b1503f37e06a9fe9d67f60dda0c3bad6c008db4da87701935c7237f06.yml
+openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/contextual-ai%2Fsunrise-e75bdcdab9ab956493c7bf6fd9cafbc2e6f0e40fc69e22c8c10b26a0bcb68032.yml

CONTRIBUTING.md

@@ -37,7 +37,7 @@ $ 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/sunrise/lib/` and `examples/` directories.
+modify the contents of the `src/contextual/lib/` and `examples/` directories.
 
 ## Adding and running examples
 

LICENSE

@@ -186,7 +186,7 @@
       same "printed page" as the copyright notice for easier
       identification within third-party archives.
 
-   Copyright 2024 Sunrise
+   Copyright 2024 Contextual 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

@@ -1,16 +1,16 @@
-# Sunrise Python API library
+# Contextual AI Python API library
 
-[![PyPI version](https://img.shields.io/pypi/v/sunrise.svg)](https://pypi.org/project/sunrise/)
+[![PyPI version](https://img.shields.io/pypi/v/contextual.svg)](https://pypi.org/project/contextual/)
 
-The Sunrise Python library provides convenient access to the Sunrise REST API from any Python 3.8+
+The Contextual AI Python library provides convenient access to the Contextual 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).
 
 It is generated with [Stainless](https://www.stainlessapi.com/).
 
 ## Documentation
 
-The REST API documentation can be found on [docs.sunrise.com](https://docs.sunrise.com). The full API of this library can be found in [api.md](api.md).
+The REST API documentation can be found on [docs.contextual.ai](https://docs.contextual.ai). The full API of this library can be found in [api.md](api.md).
 
 ## Installation
 
@@ -20,18 +20,18 @@ pip install git+ssh://git@github.com/stainless-sdks/sunrise-python.git
 ```
 
 > [!NOTE]
-> Once this package is [published to PyPI](https://app.stainlessapi.com/docs/guides/publish), this will become: `pip install --pre sunrise`
+> Once this package is [published to PyPI](https://app.stainlessapi.com/docs/guides/publish), this will become: `pip install --pre contextual`
 
 ## Usage
 
 The full API of this library can be found in [api.md](api.md).
 
 ```python
 import os
-from sunrise import Sunrise
+from contextual import ContextualAI
 
-client = Sunrise(
-    bearer_token=os.environ.get("BEARER_TOKEN"),  # This is the default and can be omitted
+client = ContextualAI(
+    api_key=os.environ.get("CONTEXTUAL_API_KEY"),  # This is the default and can be omitted
 )
 
 create_datastore_output = client.datastores.create(
@@ -40,22 +40,22 @@ create_datastore_output = client.datastores.create(
 print(create_datastore_output.id)
 ```
 
-While you can provide a `bearer_token` keyword argument,
+While you can provide an `api_key` keyword argument,
 we recommend using [python-dotenv](https://pypi.org/project/python-dotenv/)
-to add `BEARER_TOKEN="My Bearer Token"` to your `.env` file
-so that your Bearer Token is not stored in source control.
+to add `CONTEXTUAL_API_KEY="My API Key"` to your `.env` file
+so that your API Key is not stored in source control.
 
 ## Async usage
 
-Simply import `AsyncSunrise` instead of `Sunrise` and use `await` with each API call:
+Simply import `AsyncContextualAI` instead of `ContextualAI` and use `await` with each API call:
 
 ```python
 import os
 import asyncio
-from sunrise import AsyncSunrise
+from contextual import AsyncContextualAI
 
-client = AsyncSunrise(
-    bearer_token=os.environ.get("BEARER_TOKEN"),  # This is the default and can be omitted
+client = AsyncContextualAI(
+    api_key=os.environ.get("CONTEXTUAL_API_KEY"),  # This is the default and can be omitted
 )
 
 
@@ -82,29 +82,29 @@ Typed requests and responses provide autocomplete and documentation within your
 
 ## 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 `sunrise.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 `contextual.APIConnectionError` is raised.
 
 When the API returns a non-success status code (that is, 4xx or 5xx
-response), a subclass of `sunrise.APIStatusError` is raised, containing `status_code` and `response` properties.
+response), a subclass of `contextual.APIStatusError` is raised, containing `status_code` and `response` properties.
 
-All errors inherit from `sunrise.APIError`.
+All errors inherit from `contextual.APIError`.
 
 ```python
-import sunrise
-from sunrise import Sunrise
+import contextual
+from contextual import ContextualAI
 
-client = Sunrise()
+client = ContextualAI()
 
 try:
     client.datastores.create(
         name="name",
     )
-except sunrise.APIConnectionError as e:
+except contextual.APIConnectionError as e:
     print("The server could not be reached")
     print(e.__cause__)  # an underlying Exception, likely raised within httpx.
-except sunrise.RateLimitError as e:
+except contextual.RateLimitError as e:
     print("A 429 status code was received; we should back off a bit.")
-except sunrise.APIStatusError as e:
+except contextual.APIStatusError as e:
     print("Another non-200-range status code was received")
     print(e.status_code)
     print(e.response)
@@ -132,10 +132,10 @@ 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 sunrise import Sunrise
+from contextual import ContextualAI
 
 # Configure the default for all requests:
-client = Sunrise(
+client = ContextualAI(
     # default is 2
     max_retries=0,
 )
@@ -152,16 +152,16 @@ 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 sunrise import Sunrise
+from contextual import ContextualAI
 
 # Configure the default for all requests:
-client = Sunrise(
+client = ContextualAI(
     # 20 seconds (default is 1 minute)
     timeout=20.0,
 )
 
 # More granular control:
-client = Sunrise(
+client = ContextualAI(
     timeout=httpx.Timeout(60.0, read=5.0, write=10.0, connect=2.0),
 )
 
@@ -181,10 +181,10 @@ 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 `SUNRISE_LOG` to `info`.
+You can enable logging by setting the environment variable `CONTEXTUAL_AI_LOG` to `info`.
 
 ```shell
-$ export SUNRISE_LOG=info
+$ export CONTEXTUAL_AI_LOG=info
 ```
 
 Or to `debug` for more verbose logging.
@@ -206,9 +206,9 @@ 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 sunrise import Sunrise
+from contextual import ContextualAI
 
-client = Sunrise()
+client = ContextualAI()
 response = client.datastores.with_raw_response.create(
     name="name",
 )
@@ -218,9 +218,9 @@ datastore = response.parse()  # get the object that `datastores.create()` would
 print(datastore.id)
 ```
 
-These methods return an [`APIResponse`](https://github.com/stainless-sdks/sunrise-python/tree/main/src/sunrise/_response.py) object.
+These methods return an [`APIResponse`](https://github.com/stainless-sdks/sunrise-python/tree/main/src/contextual/_response.py) object.
 
-The async client returns an [`AsyncAPIResponse`](https://github.com/stainless-sdks/sunrise-python/tree/main/src/sunrise/_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/sunrise-python/tree/main/src/contextual/_response.py) with the same structure, the only difference being `await`able methods for reading the response content.
 
 #### `.with_streaming_response`
 
@@ -284,10 +284,10 @@ You can directly override the [httpx client](https://www.python-httpx.org/api/#c
 - Additional [advanced](https://www.python-httpx.org/advanced/clients/) functionality
 
 ```python
-from sunrise import Sunrise, DefaultHttpxClient
+from contextual import ContextualAI, DefaultHttpxClient
 
-client = Sunrise(
-    # Or use the `SUNRISE_BASE_URL` env var
+client = ContextualAI(
+    # Or use the `CONTEXTUAL_AI_BASE_URL` env var
     base_url="http://my.test.server.example.com:8083",
     http_client=DefaultHttpxClient(
         proxies="http://my.test.proxy.example.com",
@@ -325,8 +325,8 @@ 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 sunrise
-print(sunrise.__version__)
+import contextual
+print(contextual.__version__)
 ```
 
 ## Requirements

SECURITY.md

@@ -16,11 +16,11 @@ 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 Sunrise please follow the respective company's security reporting guidelines.
+or products provided by Contextual AI please follow the respective company's security reporting guidelines.
 
-### Sunrise Terms and Policies
+### Contextual AI Terms and Policies
 
-Please contact dev-feedback@sunrise.com for any questions or concerns regarding security of our services.
+Please contact support@contextual.ai for any questions or concerns regarding security of our services.
 
 ---