Request Syntax URI Request Parameters Request Body Response Syntax Response Elements Errors Examples See Also

InvokeModel

Invokes the specified Amazon Bedrock model to run inference using the prompt and inference parameters provided in the request body. You use model inference to generate text, images, and embeddings.

For example code, see Invoke model code examples.

This operation requires permission for the bedrock:InvokeModel action.

Request Syntax


POST /model/modelId/invoke HTTP/1.1
Accept: accept
Content-Type: contentType
X-Amzn-Bedrock-GuardrailIdentifier: guardrailIdentifier
X-Amzn-Bedrock-GuardrailVersion: guardrailVersion
X-Amzn-Bedrock-Trace: trace

body

URI Request Parameters

The request uses the following URI parameters.

accept

The desired MIME type of the inference body in the response. The default value is application/json.

contentType

The MIME type of the input data in the request. The default value is application/json.

guardrailIdentifier

The unique identifier of the guardrail that you want to use. If you don't provide a value, no guardrail is applied to the invocation.

An error will be thrown in the following situations.

You don't provide a guardrail identifier but you specify the amazon-bedrock-guardrailConfig field in the request body.
You enable the guardrail but the contentType isn't application/json.
You provide a guardrail identifier, but guardrailVersion isn't specified.

Length Constraints: Minimum length of 0. Maximum length of 2048.

Pattern: ^(([a-z0-9]+)|(arn:aws(-[^:]+)?:bedrock:[a-z0-9-]{1,20}:[0-9]{12}:guardrail/[a-z0-9]+))$

guardrailVersion

The version number for the guardrail. The value can also be DRAFT.

Pattern: ^(([1-9][0-9]{0,7})|(DRAFT))$

modelId

The unique identifier of the model to invoke to run inference.

The modelId to provide depends on the type of model that you use:

If you use a base model, specify the model ID or its ARN. For a list of model IDs for base models, see Amazon Bedrock base model IDs (on-demand throughput) in the Amazon Bedrock User Guide.
If you use a provisioned model, specify the ARN of the Provisioned Throughput. For more information, see Run inference using a Provisioned Throughput in the Amazon Bedrock User Guide.
If you use a custom model, first purchase Provisioned Throughput for it. Then specify the ARN of the resulting provisioned model. For more information, see Use a custom model in Amazon Bedrock in the Amazon Bedrock User Guide.

Length Constraints: Minimum length of 1. Maximum length of 2048.

Pattern: ^(arn:aws(-[^:]+)?:bedrock:[a-z0-9-]{1,20}:(([0-9]{12}:custom-model/[a-z0-9-]{1,63}[.]{1}[a-z0-9-]{1,63}/[a-z0-9]{12})|(:foundation-model/[a-z0-9-]{1,63}[.]{1}[a-z0-9-]{1,63}([.:]?[a-z0-9-]{1,63}))|([0-9]{12}:provisioned-model/[a-z0-9]{12})))|([a-z0-9-]{1,63}[.]{1}[a-z0-9-]{1,63}([.:]?[a-z0-9-]{1,63}))|(([0-9a-zA-Z][_-]?)+)$

Required: Yes

trace

Specifies whether to enable or disable the Bedrock trace. If enabled, you can see the full Bedrock trace.

Valid Values: ENABLED | DISABLED

Request Body

The request accepts the following binary data.

body

The prompt and inference parameters in the format specified in the contentType in the header. To see the format and content of the request and response bodies for different models, refer to Inference parameters. For more information, see Run inference in the Bedrock User Guide.

Length Constraints: Minimum length of 0. Maximum length of 25000000.

Required: Yes

Response Syntax


HTTP/1.1 200
Content-Type: contentType

body

Response Elements

If the action is successful, the service sends back an HTTP 200 response.

The response returns the following HTTP headers.

contentType: The MIME type of the inference result.

The response returns the following as the HTTP body.

body

Inference response from the model in the format specified in the contentType header. To see the format and content of the request and response bodies for different models, refer to Inference parameters.

Length Constraints: Minimum length of 0. Maximum length of 25000000.

Errors

For information about the errors that are common to all actions, see Common Errors.

AccessDeniedException

The request is denied because of missing access permissions.

HTTP Status Code: 403

InternalServerException

An internal server error occurred. Retry your request.

HTTP Status Code: 500

ModelErrorException

The request failed due to an error while processing the model.

HTTP Status Code: 424

ModelNotReadyException

The model specified in the request is not ready to serve inference requests.

HTTP Status Code: 429

ModelTimeoutException

The request took too long to process. Processing time exceeded the model timeout length.

HTTP Status Code: 408

ResourceNotFoundException

The specified resource ARN was not found. Check the ARN and try your request again.

HTTP Status Code: 404

ServiceQuotaExceededException

The number of requests exceeds the service quota. Resubmit your request later.

HTTP Status Code: 400

ThrottlingException

The number of requests exceeds the limit. Resubmit your request later.

HTTP Status Code: 429

ValidationException

Input validation failed. Check your request parameters and retry the request.

HTTP Status Code: 400

Examples

Run inference on a text model

Send an invoke request to run inference on a Titan Text G1 - Express model. We set the accept parameter to accept any content type in the response.


POST https://bedrock-runtime.us-east-1.amazonaws.com/model/amazon.titan-text-express-v1/invoke

-H accept: */*  
-H content-type: application/json

Payload
{"inputText": "Hello world"}

Example response

Response for the above request.


-H content-type: application/json

Payload
<the  model response>

Run inference on an image model

In the following example, the request sets the accept parameter to image/png.


POST https://bedrock-runtime.us-east-1.amazonaws.com/model/stability.stable-diffusion-xl-v1/invoke

-H accept: image/png
-H content-type: application/json

Payload
{"inputText": "Picture of a bird"}

Example response

Response for the above example.


-H content-type: image/png

Payload
<image bytes>

Use a guardrail

This example shows how to use a guardrail with InvokeModel.


POST /model/modelId/invoke HTTP/1.1
Accept: accept
Content-Type: contentType
X-Amzn-Bedrock-GuardrailIdentifier: guardrailIdentifier
X-Amzn-Bedrock-GuardrailVersion: guardrailVersion
X-Amzn-Bedrock-GuardrailTrace: guardrailTrace
X-Amzn-Bedrock-Trace: trace

body

// body
{
    "amazon-bedrock-guardrailConfig": {
        "tagSuffix": "string"
    }
}

Example response

This is an example response from InvokeModel when using a guardrail.


HTTP/1.1 200
Content-Type: contentType

body

// body
{
  "amazon-bedrock-guardrailAction": "INTERVENED | NONE"
  "amazon-bedrock-trace": {
    "guardrails": {
      //  Detailed guardrail trace    
    }
  }
}