---
type: api
title: Create a DeepSeek inference endpoint
description: Create an inference endpoint to perform an inference task with the `deepseek` service.
url: https://www.elastic.co/elastic/docs-builder/docs/4371/api/doc/elasticsearch/operation/operation-inference-put-deepseek
resource: https://www.elastic.co/elastic/docs-builder/docs/4371/api/doc/elasticsearch/operation/operation-inference-put-deepseek
products:
  - Elasticsearch
---

# Create a DeepSeek inference endpoint

Availability: 9.1+

## Paths

- `PUT` `/_inference/{task_type}/{deepseek_inference_id}`

- [Api key auth](/elastic/docs-builder/docs/4371/api/doc/elasticsearch/authentication#apikeyauth)
- [Basic auth](/elastic/docs-builder/docs/4371/api/doc/elasticsearch/authentication#basicauth)
- [Bearer auth](/elastic/docs-builder/docs/4371/api/doc/elasticsearch/authentication#bearerauth)

#### Path Parameters

- `task_type` (enum TaskTypeDeepSeek)
  The type of the inference task that the model will perform.
  Values: `completion`, `chat_completion`
- `deepseek_inference_id` (string Id)
  The unique identifier of the inference endpoint.

## Description

Create an inference endpoint to perform an inference task with the `deepseek` service.

## Required authorization

* Cluster privileges: `manage_inference`

## Query String Parameters

- `timeout` (string Duration · default: 30s)
  Specifies the amount of time to wait for the inference endpoint to be created.

## Request Body

`application/json`

- `service` (enum DeepSeekServiceType) — required
  The type of service supported for the specified task type. In this case, `deepseek`.
  Values: `deepseek`
- `service_settings` ({} DeepSeekServiceSettings) — required
  Settings used to install the inference model.
These settings are specific to the `deepseek` service.
  - `api_key` (string) — required
    A valid API key for your DeepSeek account.
You can find or create your DeepSeek API keys on the DeepSeek API key page.

IMPORTANT: You need to provide the API key only once, during the inference model creation.
The get inference endpoint API does not retrieve your API key.
  - `model_id` (string) — required
    For a `completion` or `chat_completion` task, the name of the model to use for the inference task.

For the available `completion` and `chat_completion` models, refer to the [DeepSeek Models & Pricing docs](https://api-docs.deepseek.com/quick_start/pricing).
  - `url` (string) — optional
    The URL endpoint to use for the requests. Defaults to `https://api.deepseek.com/chat/completions`.

## Response

`application/json`

- `chunking_settings` ({} InferenceChunkingSettings)
  The chunking configuration object.
Applies only to the `embedding`, `sparse_embedding` and `text_embedding` task types.
Not applicable to the `rerank`, `completion`, or `chat_completion` task types.
  - `max_chunk_size` (number · default: 250)
    The maximum size of a chunk in words.
This value cannot be lower than `20` (for `sentence` strategy) or `10` (for `word` strategy).
This value should not exceed the window size for the associated model.
  - `overlap` (number · default: 100)
    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 · default: 1)
    The number of overlapping sentences for chunks.
It is applicable only for a `sentence` chunking strategy.
It can be either `1` or `0`.
  - `separator_group` (string)
    Only applicable to the `recursive` strategy 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 `markdown` or `plaintext`.

Using this parameter is an alternative to manually specifying a custom `separators` list.
  - `separators` ([] string)
    Only applicable to the `recursive` strategy 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_size` limit, to reduce the total number of chunks generated.
  - `strategy` (string · default: sentence)
    The chunking strategy: `sentence`, `word`, `none` or `recursive`.

 * If `strategy` is set to `recursive`, you must also specify:

- `max_chunk_size`
- either `separators` or`separator_group`

Learn more about different chunking strategies in the linked documentation.
- `service` (string)
  The service type
- `service_settings` (ServiceSettings)
  Settings specific to the service
- `task_settings` (TaskSettings)
  Task settings specific to the service and task type
- `inference_id` (string)
  The inference Id
- `task_type` (enum TaskTypeDeepSeek)
  The task type
  Values: `completion`, `chat_completion`
## Code Examples

#### Console

```console
PUT /_inference/{task_type}/{deepseek_inference_id}
```

#### curl

```curl
curl -X PUT "/_inference/{task_type}/{deepseek_inference_id}"
```