[ML] SageMaker Elastic Payload #129413
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[ML] SageMaker Elastic Payload #129413
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Send the Elastic API Payload to a SageMaker endpoint, and parse the response as if it were an Elastic API response. - SageMaker now supports all task types in the Elastic API format. - Streaming is supported using the SageMaker client/server rpc, rather than SSE. Payloads must be in a complete and valid JSON structure. - Task Settings can be used for additional passthrough settings, but they will not be saved alongside the model. Elastic cannot make guarantees on the structure or contents of this payload, so Elastic will treat it like the other input payloads and only allow them during inference.
prwhelan
added
>enhancement
:ml
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Hi @prwhelan, I've created a changelog YAML for you. |
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Pinging @elastic/ml-core (Team:ML) |
prwhelan
commented
Jun 13, 2025
| @@ -31,13 +30,8 @@ public static void init() { | |||
| } | |||
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| public void testGetServicesWithoutTaskType() throws IOException { | |||
| List<Object> services = getAllServices(); | |||
| assertThat(services.size(), equalTo(24)); | |||
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We don't need to check the list size anymore, containsInAnyOrder does that and will print out the missing element
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Send the Elastic API Payload to a SageMaker endpoint, and parse the response as if it were an Elastic API response.