Create an Anthropic inference endpoint | Elasticsearch API documentation

Create an Anthropic inference endpoint Generally available; Added in 8.16.0

PUT /_inference/{task_type}/{anthropic_inference_id}

Api key auth Basic auth Bearer auth

Create an inference endpoint to perform an inference task with the anthropic service.

Required authorization

Cluster privileges: manage_inference

Path parameters

task_type string Required

The task type. The only valid task type for the model to perform is completion.

Value is completion.
anthropic_inference_id string Required

The unique identifier of the inference endpoint.

application/json

Body

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

Value is anthropic.
service_settings object Required
Hide service_settings attributes Show service_settings attributes object
- api_key string Required
  
  A valid API key for the Anthropic API.
- model_id string Required
  
  The name of the model to use for the inference task. Refer to the Anthropic documentation for the list of supported models.
- rate_limit object
  
  This setting helps to minimize the number of rate limit errors returned from the service.
  Hide rate_limit attribute Show rate_limit attribute object
  
  requests_per_minute number
  
  The number of requests allowed per minute. By default, the number of requests allowed per minute is set by each service as follows:
  
  alibabacloud-ai-search service: 1000
  
  anthropic service: 50
  
  azureaistudio service: 240
  
  azureopenai service and task type text_embedding: 1440
  
  azureopenai service and task type completion: 120
  
  cohere service: 10000
  
  elastic service and task type chat_completion: 240
  
  googleaistudio service: 360
  
  googlevertexai service: 30000
  
  hugging_face service: 3000
  
  jinaai service: 2000
  
  mistral service: 240
  
  openai service and task type text_embedding: 3000
  
  openai service and task type completion: 500
  
  voyageai service: 2000
  
  watsonxai service: 120
task_settings object
Hide task_settings attributes Show task_settings attributes object
- max_tokens number Required
  
  For a completion task, it is the maximum number of tokens to generate before stopping.
- temperature number
  
  For a completion task, it is the amount of randomness injected into the response. For more details about the supported range, refer to Anthropic documentation.
  
  External documentation
- top_k number
  
  For a completion task, it specifies to only sample from the top K options for each subsequent token. It is recommended for advanced use cases only. You usually only need to use temperature.
- top_p number
  
  For a completion task, it specifies to use Anthropic's nucleus sampling. In nucleus sampling, Anthropic computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches the specified probability. You should either alter temperature or top_p, but not both. It is recommended for advanced use cases only. You usually only need to use temperature.

Responses

200 application/json
Hide response attributes Show response attributes object
- 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
  
  Value is completion.

PUT /_inference/{task_type}/{anthropic_inference_id}

PUT _inference/completion/anthropic_completion
{
    "service": "anthropic",
    "service_settings": {
        "api_key": "Anthropic-Api-Key",
        "model_id": "Model-ID"
    },
    "task_settings": {
        "max_tokens": 1024
    }
}

resp = client.inference.put(
    task_type="completion",
    inference_id="anthropic_completion",
    inference_config={
        "service": "anthropic",
        "service_settings": {
            "api_key": "Anthropic-Api-Key",
            "model_id": "Model-ID"
        },
        "task_settings": {
            "max_tokens": 1024
        }
    },
)

const response = await client.inference.put({
  task_type: "completion",
  inference_id: "anthropic_completion",
  inference_config: {
    service: "anthropic",
    service_settings: {
      api_key: "Anthropic-Api-Key",
      model_id: "Model-ID",
    },
    task_settings: {
      max_tokens: 1024,
    },
  },
});

response = client.inference.put(
  task_type: "completion",
  inference_id: "anthropic_completion",
  body: {
    "service": "anthropic",
    "service_settings": {
      "api_key": "Anthropic-Api-Key",
      "model_id": "Model-ID"
    },
    "task_settings": {
      "max_tokens": 1024
    }
  }
)

$resp = $client->inference()->put([
    "task_type" => "completion",
    "inference_id" => "anthropic_completion",
    "body" => [
        "service" => "anthropic",
        "service_settings" => [
            "api_key" => "Anthropic-Api-Key",
            "model_id" => "Model-ID",
        ],
        "task_settings" => [
            "max_tokens" => 1024,
        ],
    ],
]);

curl -X PUT -H "Authorization: ApiKey $ELASTIC_API_KEY" -H "Content-Type: application/json" -d '{"service":"anthropic","service_settings":{"api_key":"Anthropic-Api-Key","model_id":"Model-ID"},"task_settings":{"max_tokens":1024}}' "$ELASTICSEARCH_URL/_inference/completion/anthropic_completion"

Request example

Run `PUT _inference/completion/anthropic_completion` to create an inference endpoint that performs a completion task.

{
    "service": "anthropic",
    "service_settings": {
        "api_key": "Anthropic-Api-Key",
        "model_id": "Model-ID"
    },
    "task_settings": {
        "max_tokens": 1024
    }
}