Azure Machine Learning inferencing server.
Project description
Check our official documentation here.
Python 3.6 Deprecation
Python 3.6 support on Windows is dropped from azureml-inference-server-http v0.4.12 to pick up waitress v2.1.1 with the security bugfix of CVE-2022-24761.
Python 3.6 support on Mac, Linux and WSL2 will not be impacted by above change for now.
Python 3.6 support on all platforms will be dropped in December, 2022 (previously: 6/15/2022)
CORS support
Cross-origin resource sharing is a way to allow resources on a webpage to be requested from another domain. CORS works via HTTP headers sent with the client request and returned with the service response. For more information on CORS and valid headers, see Cross-origin resource sharing in Wikipedia.
Users can specify the domains allowed for access through the AML_CORS_ORIGINS environment variable, as a comma separated list of domains, such as www.microsoft.com, www.bing.com. While discouraged, users can also set it to * to allow access from all domains. CORS is disabled if this environment variable is not set.
Existing usage to employ @rawhttp as a way to specify CORS header is not affected, and can be used if you need more granular control of CORS (such as the need to specify other CORS headers). See here for an example.
Changelog
0.7.4 (2022-07-29)
Fixes
Fix an issue where the server would require arguments that have default values in run().
0.7.3 (2022-07-18)
Features
CORS can be enabled with the environment variable AML_CORS_ORIGINS. Refer to README for detailed usage.
Server can now be started with python -m azureml_inference_server_http in additional to azmlinfsrv.
OPTIONS calls are modified to return 200 OK instead of the previous 405 Method not allowed.
Users can bring their own swaggers by placing swagger2.json and swagger3.json in AML_APP_ROOT.
Enhancements
Swaggers are always generated now, regardless whether the user’s run() function is decorated with inference-schema.
The x-request-id and x-client-request-id headers are now limited to 100 characters.
Fixes
Fixed an issue that prevents the server from cleanly exiting when the scoring script cannot be initialized. If AppInsights is not enabled, users may see AttributeError: 'AppInsightsClient' object has no attribute 'logger'.
0.7.2 (2022-06-06)
Enhancements
Added support for Flask 2.1.
The server now responds with a 400 Bad Request when it finds invalid inputs.
0.7.1 (2022-05-10)
Deprecation
The “x-ms-request-id” header is deprecated and is being replaced by “x-request-id”. Until “x-ms-request-id” is removed, the server will accept either header and respond with both headers set to the same request id. Providing two request ids through the headers is not allowed and will be responded with a Bad Request.
Enhancements
Added support for Flask 2.0. A compatibility layer is introduced to ensure this upgrade doesn’t break users who use @rawhttp as the methods on the Flask request object have slightly changed. Specifically,
request.headers.has_keys() was removed
request.json throws an exception if the content-type is not “application/json”. Previously it returns None.
The compatibility layer restores these functionalities to their previous behaviors. However, this compatibility layer will be removed in a future date and users are encouraged to audit their score scripts today. To see if your score script is ready for Flask 2, run the server with the environment variable AML_FLASK_ONE_COMPATIBILITY set to false.
Flask’s full changelog can be found here: https://flask.palletsprojects.com/en/2.1.x/changes/
Added support for the “x-request-id” and “x-client-request-id” headers. A new GUID is generated for “x-request-id” if one is not provided. These values are echoed back to the client in the response headers.
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