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81 lines
1.8 KiB
Text
81 lines
1.8 KiB
Text
[role="xpack"]
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[[get-inference-api]]
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=== Get {infer} API
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experimental[]
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Retrieves {infer} model information.
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[discrete]
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[[get-inference-api-request]]
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==== {api-request-title}
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`GET /_inference/_all`
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`GET /_inference/<task_type>/_all`
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`GET /_inference/<task_type>/<model_id>`
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[discrete]
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[[get-inference-api-prereqs]]
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==== {api-prereq-title}
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* Requires the `manage` <<privileges-list-cluster,cluster privilege>>.
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[discrete]
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[[get-inference-api-desc]]
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==== {api-description-title}
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You can get information in a single API request for:
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* a single {infer} model by providing the task type and the model ID,
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* all of the {infer} models for a certain task type by providing the task type
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and a wildcard expression,
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* all of the {infer} models by using a wildcard expression.
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[discrete]
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[[get-inference-api-path-params]]
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==== {api-path-parms-title}
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`<model_id>`::
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(Optional, string)
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The unique identifier of the {infer} model.
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`<task_type>`::
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(Optional, string)
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The type of {infer} task that the model performs.
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[discrete]
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[[get-inference-api-example]]
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==== {api-examples-title}
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The following API call retrives information about the `my-elser-model` {infer}
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model that can perform `sparse_embedding` tasks.
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[source,console]
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------------------------------------------------------------
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GET _inference/sparse_embedding/my-elser-model
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------------------------------------------------------------
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// TEST[skip:TBD]
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The API returns the following response:
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[source,console-result]
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------------------------------------------------------------
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{
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"model_id": "my-elser-model",
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"task_type": "sparse_embedding",
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"service": "elser",
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"service_settings": {
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"num_allocations": 1,
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"num_threads": 1
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},
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"task_settings": {}
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}
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------------------------------------------------------------
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// NOTCONSOLE
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