Create a DeepSeek inference endpoint
- PUT /_inference/{task_type}/{deepseek_inference_id}
Create an inference endpoint to perform an inference task with the deepseek service.
Required authorization
- Cluster privileges manage_inference
Request body
-
servicerequired -
The type of service supported for the specified task type. In this case,
deepseek. -
Values:
deepseek -
service_settingsobjectrequired -
Settings used to install the inference model. These settings are specific to the
deepseekservice. -
api_keystringrequired -
A valid API key for your DeepSeek account. You can find or create your DeepSeek API keys on the DeepSeek API key page.
ImportantYou need to provide the API key only once, during the inference model creation. The get inference endpoint API does not retrieve your API key.
- External docs
-
model_idstringrequired -
For a
completionorchat_completiontask, the name of the model to use for the inference task.For the available
completionandchat_completionmodels, refer to the DeepSeek Models & Pricing docs.
Response
-
chunking_settingsobject -
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. -
strategystring · default: sentence -
The chunking strategy:
sentence,word,noneorrecursive.- If
strategyis set torecursive, you must also specify:
max_chunk_size- either
separatorsorseparator_group
Learn more about different chunking strategies in the linked documentation.
- If
- Reference