Get an inference endpoint
- GET /_inference/{task_type}/{inference_id}
- GET /_inference/{task_type}/_all
- GET /_inference/{inference_id}
- GET /_inference
This API requires the monitor_inference cluster privilege (the built-in inference_admin and inference_user roles grant this privilege).
Path Parameters
-
task_typeTaskTypeoptional -
The task type of the endpoint to return
Leave it out to use
/_inference. -
Values:
sparse_embeddingtext_embeddingrerankcompletionchat_completionembedding -
inference_idstring Idoptional -
The inference Id of the endpoint to return. Using
_allor*will return all endpoints with the specifiedtask_typeif one is specified, or all endpoints for all task types if notask_typeis specifiedLeave it out to use
/_inference.
Response
-
endpointsInferenceEndpointInforequired -
chunking_settingsInferenceChunkingSettings -
The chunking configuration object. Applies only to the
embedding,sparse_embeddingandtext_embeddingtask types. Not applicable to thererank,completion, orchat_completiontask types. -
max_chunk_sizenumber · default: 250 -
The maximum size of a chunk in words. This value cannot be lower than
20(forsentencestrategy) or10(forwordstrategy). This value should not exceed the window size for the associated model. -
overlapnumber · default: 100 -
The number of overlapping words for chunks. It is applicable only to a
wordchunking strategy. This value cannot be higher than half themax_chunk_sizevalue. -
sentence_overlapnumber · default: 1 -
The number of overlapping sentences for chunks. It is applicable only for a
sentencechunking strategy. It can be either1or0. -
separator_groupstring -
Only applicable to the
recursivestrategy and required when using it.Sets a predefined list of separators in the saved chunking settings based on the selected text type. Values can be
markdownorplaintext.Using this parameter is an alternative to manually specifying a custom
separatorslist. -
separatorsstring -
Only applicable to the
recursivestrategy and required when using it.A list of strings used as possible split points when chunking text.
Each string can be a plain string or a regular expression (regex) pattern. The system tries each separator in order to split the text, starting from the first item in the list.
After splitting, it attempts to recombine smaller pieces into larger chunks that stay within the
max_chunk_sizelimit, to reduce the total number of chunks generated. -
servicestringrequired -
The service type
-
service_settingsServiceSettingsrequired -
Settings specific to the service
-
task_settingsTaskSettings -
Task settings specific to the service and task type
-
inference_idstringrequired -
The inference Id
-
task_typeTaskTyperequired -
The task type
-
Values:
sparse_embeddingtext_embeddingrerankcompletionchat_completionembedding