# Create an inference endpoint


**PUT /_inference/{task_type}/{inference_id}**

**All methods and paths for this operation:**

<div>
                      <span class="operation-verb put">PUT</span>
                      <span class="operation-path">/_inference/{inference_id}</span>
                      </div>
                    <div>
                      <span class="operation-verb put">PUT</span>
                      <span class="operation-path">/_inference/{task_type}/{inference_id}</span>
                      </div>
                    

IMPORTANT: The inference APIs enable you to use certain services, such as built-in machine learning models (ELSER, E5), models uploaded through Eland, Cohere, OpenAI, Mistral, Azure OpenAI, Google AI Studio, Google Vertex AI, Anthropic, Watsonx.ai, or Hugging Face.
For built-in models and models uploaded through Eland, the inference APIs offer an alternative way to use and manage trained models.
However, if you do not plan to use the inference APIs to use these models or if you want to use non-NLP models, use the machine learning trained model APIs.

The following integrations are available through the inference API. You can find the available task types next to the integration name:
* AI21 (`chat_completion`, `completion`)
* AlibabaCloud AI Search (`completion`, `rerank`, `sparse_embedding`, `text_embedding`)
* Amazon Bedrock (`completion`, `text_embedding`)
* Amazon SageMaker (`chat_completion`, `completion`, `rerank`, `sparse_embedding`, `text_embedding`)
* Anthropic (`completion`)
* Azure AI Studio (`completion`, 'rerank', `text_embedding`)
* Azure OpenAI (`completion`, `text_embedding`)
* Cohere (`completion`, `rerank`, `text_embedding`)
* DeepSeek (`chat_completion`, `completion`)
* Elasticsearch (`rerank`, `sparse_embedding`, `text_embedding` - this service is for built-in models and models uploaded through Eland)
* ELSER (`sparse_embedding`)
* Google AI Studio (`completion`, `text_embedding`)
* Google Vertex AI (`chat_completion`, `completion`, `rerank`, `text_embedding`)
* Hugging Face (`chat_completion`, `completion`, `rerank`, `text_embedding`)
* JinaAI (`rerank`, `text_embedding`)
* Llama (`chat_completion`, `completion`, `text_embedding`)
* Mistral (`chat_completion`, `completion`, `text_embedding`)
* OpenAI (`chat_completion`, `completion`, `text_embedding`)
* VoyageAI (`rerank`, `text_embedding`)
* Watsonx inference integration (`text_embedding`)

## Required authorization

* Cluster privileges: `manage_inference`



## Servers
- http://api.example.com: http://api.example.com ()


## Authentication methods
- Api key auth


## Parameters

### Path parameters
- **task_type** (string)
  The task type. Refer to the integration list in the API description for the available task types.
- **inference_id** (string)
  The inference Id

### Query parameters
- **timeout** (string)
  Specifies the amount of time to wait for the inference endpoint to be created.

### Body: application/json (object)

- **chunking_settings** (object)
  The chunking configuration object.
  Applies only to the `sparse_embedding` and `text_embedding` task types.
  Not applicable to the `rerank`, `completion`, or `chat_completion` task types.
- **service** (string)
  The service type
- **service_settings** (object)
  Settings specific to the service
- **task_settings** (object)
  Task settings specific to the service and task type


## Responses
### 200


#### Body: application/json (object)
- **chunking_settings** (object)
  The chunking configuration object.
  Applies only to the `sparse_embedding` and `text_embedding` task types.
  Not applicable to the `rerank`, `completion`, or `chat_completion` task types.
- **service** (string)
  The service type
- **service_settings** (object)
  Settings specific to the service
- **task_settings** (object)
  Task settings specific to the service and task type
- **inference_id** (string)
  The inference Id
- **task_type** (string)
  The task type


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