Get an inference endpoint Generally available; Added in 8.11.0

GET /_inference/{task_type}/{inference_id}
Api key auth Basic auth Bearer auth

Path parameters

  • task_type string Required

    The task type

    Values are sparse_embedding, text_embedding, rerank, completion, or chat_completion.

  • inference_id string Required

    The inference Id

Responses

  • 200 application/json
    Hide response attribute Show response attribute object
    • endpoints array[object] Required

      Represents an inference endpoint as returned by the GET API

      Hide endpoints attributes Show endpoints attributes object

      Represents an inference endpoint as returned by the GET API

      • chunking_settings object

        Chunking configuration object

        Hide chunking_settings attributes Show chunking_settings attributes object
        • max_chunk_size number

          The maximum size of a chunk in words. This value cannot be higher than 300 or lower than 20 (for sentence strategy) or 10 (for word strategy).

        • overlap number

          The number of overlapping words for chunks. It is applicable only to a word chunking strategy. This value cannot be higher than half the max_chunk_size value.

        • sentence_overlap number

          The number of overlapping sentences for chunks. It is applicable only for a sentence chunking strategy. It can be either 1 or 0.

        • strategy string

          The chunking strategy: sentence or word.

      • service string Required

        The service type

      • service_settings object Required
      • task_settings object
      • inference_id string Required

        The inference Id

      • task_type string Required

        Values are sparse_embedding, text_embedding, rerank, completion, or chat_completion.
GET /_inference/{task_type}/{inference_id} 
GET _inference/sparse_embedding/my-elser-model

resp = client.inference.get(
    task_type="sparse_embedding",
    inference_id="my-elser-model",
)
const response = await client.inference.get({
  task_type: "sparse_embedding",
  inference_id: "my-elser-model",
});
response = client.inference.get(
  task_type: "sparse_embedding",
  inference_id: "my-elser-model"
)
$resp = $client->inference()->get([
    "task_type" => "sparse_embedding",
    "inference_id" => "my-elser-model",
]);
curl -X GET -H "Authorization: ApiKey $ELASTIC_API_KEY" "$ELASTICSEARCH_URL/_inference/sparse_embedding/my-elser-model"