feat(client-bedrock-runtime): This release introduces Guardrails for …

…Amazon Bedrock.

clients/client-bedrock-runtime/README.md

@@ -6,7 +6,7 @@
 
 AWS SDK for JavaScript BedrockRuntime Client for Node.js, Browser and React Native.
 
-<p>Describes the API operations for running inference using Bedrock models.</p>
+<p>Describes the API operations for running inference using Amazon Bedrock models.</p>
 
 ## Installing
 

clients/client-bedrock-runtime/src/BedrockRuntime.ts

@@ -46,7 +46,7 @@ export interface BedrockRuntime {
 }
 
 /**
- * <p>Describes the API operations for running inference using Bedrock models.</p>
+ * <p>Describes the API operations for running inference using Amazon Bedrock models.</p>
  * @public
  */
 export class BedrockRuntime extends BedrockRuntimeClient implements BedrockRuntime {}

clients/client-bedrock-runtime/src/BedrockRuntimeClient.ts

@@ -264,7 +264,7 @@ export type BedrockRuntimeClientResolvedConfigType = __SmithyResolvedConfigurati
 export interface BedrockRuntimeClientResolvedConfig extends BedrockRuntimeClientResolvedConfigType {}
 
 /**
- * <p>Describes the API operations for running inference using Bedrock models.</p>
+ * <p>Describes the API operations for running inference using Amazon Bedrock models.</p>
  * @public
  */
 export class BedrockRuntimeClient extends __Client<

clients/client-bedrock-runtime/src/commands/InvokeModelCommand.ts

@@ -47,10 +47,11 @@ export type InvokeModelCommandOutputType = Omit<InvokeModelResponse, "body"> & {
 export interface InvokeModelCommandOutput extends InvokeModelCommandOutputType, __MetadataBearer {}
 
 /**
- * <p>Invokes the specified Bedrock model to run inference using the input provided in the request body.
- *          You use InvokeModel to run inference for text models, image models, and embedding models.</p>
- *          <p>For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/api-methods-run.html">Run inference</a> in the Bedrock User Guide.</p>
- *          <p>For example requests, see Examples (after the Errors section).</p>
+ * <p>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.</p>
+ *          <p>For example code, see <i>Invoke model code examples</i> in the <i>Amazon Bedrock User Guide</i>.
+ *       </p>
+ *          <p>This operation requires permission for the <code>bedrock:InvokeModel</code> action.</p>
  * @example
  * Use a bare-bones client and the command you need to make an API call.
  * ```javascript
@@ -62,6 +63,9 @@ export interface InvokeModelCommandOutput extends InvokeModelCommandOutputType,
  *   contentType: "STRING_VALUE",
  *   accept: "STRING_VALUE",
  *   modelId: "STRING_VALUE", // required
+ *   trace: "ENABLED" || "DISABLED",
+ *   guardrailIdentifier: "STRING_VALUE",
+ *   guardrailVersion: "STRING_VALUE",
  * };
  * const command = new InvokeModelCommand(input);
  * const response = await client.send(command);

clients/client-bedrock-runtime/src/commands/InvokeModelWithResponseStreamCommand.ts

@@ -44,10 +44,16 @@ export interface InvokeModelWithResponseStreamCommandOutput
     __MetadataBearer {}
 
 /**
- * <p>Invoke the specified Bedrock model to run inference using the input provided.
- *       Return the response in a stream.</p>
- *          <p>For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/api-methods-run.html">Run inference</a> in the Bedrock User Guide.</p>
- *          <p>For an example request and response, see Examples (after the Errors section).</p>
+ * <p>Invoke the specified Amazon Bedrock model to run inference using the prompt and inference parameters provided in the request body. The response is returned in a stream.</p>
+ *          <p>To see if a model supports streaming, call <a href="https://docs.aws.amazon.com/bedrock/latest/APIReference/API_GetFoundationModel.html">GetFoundationModel</a>
+ *          and check the <code>responseStreamingSupported</code> field in the response.</p>
+ *          <note>
+ *             <p>The CLI doesn't support <code>InvokeModelWithResponseStream</code>.</p>
+ *          </note>
+ *          <p>For example code, see <i>Invoke model with streaming code
+ *          example</i> in the <i>Amazon Bedrock User Guide</i>.
+ *       </p>
+ *          <p>This operation requires permissions to perform the <code>bedrock:InvokeModelWithResponseStream</code> action. </p>
  * @example
  * Use a bare-bones client and the command you need to make an API call.
  * ```javascript
@@ -59,6 +65,9 @@ export interface InvokeModelWithResponseStreamCommandOutput
  *   contentType: "STRING_VALUE",
  *   accept: "STRING_VALUE",
  *   modelId: "STRING_VALUE", // required
+ *   trace: "ENABLED" || "DISABLED",
+ *   guardrailIdentifier: "STRING_VALUE",
+ *   guardrailVersion: "STRING_VALUE",
  * };
  * const command = new InvokeModelWithResponseStreamCommand(input);
  * const response = await client.send(command);
@@ -109,7 +118,7 @@ export interface InvokeModelWithResponseStreamCommandOutput
  *  <p>The model specified in the request is not ready to serve inference requests.</p>
  *
  * @throws {@link ModelStreamErrorException} (client fault)
- *  <p>An error occurred while streaming the response.</p>
+ *  <p>An error occurred while streaming the response. Retry your request.</p>
  *
  * @throws {@link ModelTimeoutException} (client fault)
  *  <p>The request took too long to process. Processing time exceeded the model timeout length.</p>

clients/client-bedrock-runtime/src/index.ts

@@ -1,7 +1,7 @@
 // smithy-typescript generated code
 /* eslint-disable */
 /**
- * <p>Describes the API operations for running inference using Bedrock models.</p>
+ * <p>Describes the API operations for running inference using Amazon Bedrock models.</p>
  *
  * @packageDocumentation
  */

clients/client-bedrock-runtime/src/models/models_0.ts

@@ -43,12 +43,26 @@ export class InternalServerException extends __BaseException {
   }
 }
 
+/**
+ * @public
+ * @enum
+ */
+export const Trace = {
+  DISABLED: "DISABLED",
+  ENABLED: "ENABLED",
+} as const;
+
+/**
+ * @public
+ */
+export type Trace = (typeof Trace)[keyof typeof Trace];
+
 /**
  * @public
  */
 export interface InvokeModelRequest {
   /**
-   * <p>Input data in the format specified in the content-type request header. To see the format and content of this field for different models, refer to <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Inference parameters</a>.</p>
+   * <p>The prompt and inference parameters in the format specified in the <code>contentType</code> in the header. To see the format and content of the request and response bodies for different models, refer to <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Inference parameters</a>. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/api-methods-run.html">Run inference</a> in the Bedrock User Guide.</p>
    * @public
    */
   body: Uint8Array | undefined;
@@ -61,25 +75,67 @@ export interface InvokeModelRequest {
   contentType?: string;
 
   /**
-   * <p>The desired MIME type of the inference body in the response. The default value is
-   *             <code>application/json</code>.</p>
+   * <p>The desired MIME type of the inference body in the response. The default value is <code>application/json</code>.</p>
    * @public
    */
   accept?: string;
 
   /**
-   * <p>Identifier of the model. </p>
+   * <p>The unique identifier of the model to invoke to run inference.</p>
+   *          <p>The <code>modelId</code> to provide depends on the type of model that you use:</p>
+   *          <ul>
+   *             <li>
+   *                <p>If you use a base model, specify the model ID or its ARN. For a list of model IDs for base models, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-ids.html#model-ids-arns">Amazon Bedrock base model IDs (on-demand throughput)</a> in the Amazon Bedrock User Guide.</p>
+   *             </li>
+   *             <li>
+   *                <p>If you use a provisioned model, specify the ARN of the Provisioned Throughput. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/prov-thru-use.html">Run inference using a Provisioned Throughput</a> in the Amazon Bedrock User Guide.</p>
+   *             </li>
+   *             <li>
+   *                <p>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 <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-customization-use.html">Use a custom model in Amazon Bedrock</a> in the Amazon Bedrock User Guide.</p>
+   *             </li>
+   *          </ul>
    * @public
    */
   modelId: string | undefined;
+
+  /**
+   * <p>Specifies whether to enable or disable the Bedrock trace. If enabled, you can see the full Bedrock trace.</p>
+   * @public
+   */
+  trace?: Trace;
+
+  /**
+   * <p>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.</p>
+   *          <p>An error will be thrown in the following situations.</p>
+   *          <ul>
+   *             <li>
+   *                <p>You don't provide a guardrail identifier but you specify the <code>amazon-bedrock-guardrailConfig</code> field in the request body.</p>
+   *             </li>
+   *             <li>
+   *                <p>You enable the guardrail but the <code>contentType</code> isn't <code>application/json</code>.</p>
+   *             </li>
+   *             <li>
+   *                <p>You provide a guardrail identifier, but <code>guardrailVersion</code> isn't specified.</p>
+   *             </li>
+   *          </ul>
+   * @public
+   */
+  guardrailIdentifier?: string;
+
+  /**
+   * <p>The version number for the guardrail. The value can also be <code>DRAFT</code>.</p>
+   * @public
+   */
+  guardrailVersion?: string;
 }
 
 /**
  * @public
  */
 export interface InvokeModelResponse {
   /**
-   * <p>Inference response from the model in the format specified in the content-type header field. To see the format and content of this field for different models, refer to <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Inference parameters</a>.</p>
+   * <p>Inference response from the model in the format specified in the <code>contentType</code> header. To see the format and content of the request and response bodies for different models, refer to <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Inference parameters</a>.</p>
    * @public
    */
   body: Uint8Array | undefined;
@@ -250,8 +306,7 @@ export class ValidationException extends __BaseException {
  */
 export interface InvokeModelWithResponseStreamRequest {
   /**
-   * <p>Inference input in the format specified by the
-   *          content-type. To see the format and content of this field for different models, refer to <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Inference parameters</a>.</p>
+   * <p>The prompt and inference parameters in the format specified in the <code>contentType</code> in the header. To see the format and content of the request and response bodies for different models, refer to <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Inference parameters</a>. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/api-methods-run.html">Run inference</a> in the Bedrock User Guide.</p>
    * @public
    */
   body: Uint8Array | undefined;
@@ -271,10 +326,53 @@ export interface InvokeModelWithResponseStreamRequest {
   accept?: string;
 
   /**
-   * <p>Id of the model to invoke using the streaming request.</p>
+   * <p>The unique identifier of the model to invoke to run inference.</p>
+   *          <p>The <code>modelId</code> to provide depends on the type of model that you use:</p>
+   *          <ul>
+   *             <li>
+   *                <p>If you use a base model, specify the model ID or its ARN. For a list of model IDs for base models, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-ids.html#model-ids-arns">Amazon Bedrock base model IDs (on-demand throughput)</a> in the Amazon Bedrock User Guide.</p>
+   *             </li>
+   *             <li>
+   *                <p>If you use a provisioned model, specify the ARN of the Provisioned Throughput. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/prov-thru-use.html">Run inference using a Provisioned Throughput</a> in the Amazon Bedrock User Guide.</p>
+   *             </li>
+   *             <li>
+   *                <p>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 <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-customization-use.html">Use a custom model in Amazon Bedrock</a> in the Amazon Bedrock User Guide.</p>
+   *             </li>
+   *          </ul>
    * @public
    */
   modelId: string | undefined;
+
+  /**
+   * <p>Specifies whether to enable or disable the Bedrock trace. If enabled, you can see the full Bedrock trace.</p>
+   * @public
+   */
+  trace?: Trace;
+
+  /**
+   * <p>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.</p>
+   *          <p>An error is thrown in the following situations.</p>
+   *          <ul>
+   *             <li>
+   *                <p>You don't provide a guardrail identifier but you specify the <code>amazon-bedrock-guardrailConfig</code> field in the request body.</p>
+   *             </li>
+   *             <li>
+   *                <p>You enable the guardrail but the <code>contentType</code> isn't <code>application/json</code>.</p>
+   *             </li>
+   *             <li>
+   *                <p>You provide a guardrail identifier, but <code>guardrailVersion</code> isn't specified.</p>
+   *             </li>
+   *          </ul>
+   * @public
+   */
+  guardrailIdentifier?: string;
+
+  /**
+   * <p>The version number for the guardrail. The value can also be <code>DRAFT</code>.</p>
+   * @public
+   */
+  guardrailVersion?: string;
 }
 
 /**
@@ -290,7 +388,7 @@ export interface PayloadPart {
 }
 
 /**
- * <p>An error occurred while streaming the response.</p>
+ * <p>An error occurred while streaming the response. Retry your request.</p>
  * @public
  */
 export class ModelStreamErrorException extends __BaseException {
@@ -369,7 +467,7 @@ export namespace ResponseStream {
   }
 
   /**
-   * <p>An error occurred while streaming the response.</p>
+   * <p>An error occurred while streaming the response. Retry your request.</p>
    * @public
    */
   export interface ModelStreamErrorExceptionMember {
@@ -397,7 +495,7 @@ export namespace ResponseStream {
   }
 
   /**
-   * <p>The number of requests exceeds the limit. Resubmit your request later.</p>
+   * <p>The number or frequency of requests exceeds the limit. Resubmit your request later.</p>
    * @public
    */
   export interface ThrottlingExceptionMember {
@@ -465,7 +563,7 @@ export namespace ResponseStream {
  */
 export interface InvokeModelWithResponseStreamResponse {
   /**
-   * <p>Inference response from the model in the format specified by Content-Type. To see the format and content of this field for different models, refer to <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Inference parameters</a>.</p>
+   * <p>Inference response from the model in the format specified by the <code>contentType</code> header. To see the format and content of this field for different models, refer to <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Inference parameters</a>.</p>
    * @public
    */
   body: AsyncIterable<ResponseStream> | undefined;

clients/client-bedrock-runtime/src/protocols/Aws_restJson1.ts

@@ -52,6 +52,9 @@ export const se_InvokeModelCommand = async (
   const headers: any = map({}, isSerializableHeaderValue, {
     [_ct]: input[_cT]! || "application/octet-stream",
     [_a]: input[_a]!,
+    [_xabt]: input[_t]!,
+    [_xabg]: input[_gI]!,
+    [_xabg_]: input[_gV]!,
   });
   b.bp("/model/{modelId}/invoke");
   b.p("modelId", () => input.modelId!, "{modelId}", false);
@@ -74,6 +77,9 @@ export const se_InvokeModelWithResponseStreamCommand = async (
   const headers: any = map({}, isSerializableHeaderValue, {
     [_ct]: input[_cT]! || "application/octet-stream",
     [_xaba]: input[_a]!,
+    [_xabt]: input[_t]!,
+    [_xabg]: input[_gI]!,
+    [_xabg_]: input[_gV]!,
   });
   b.bp("/model/{modelId}/invoke-with-response-stream");
   b.p("modelId", () => input.modelId!, "{modelId}", false);
@@ -491,5 +497,11 @@ const isSerializableHeaderValue = (value: any): boolean =>
 const _a = "accept";
 const _cT = "contentType";
 const _ct = "content-type";
+const _gI = "guardrailIdentifier";
+const _gV = "guardrailVersion";
+const _t = "trace";
 const _xaba = "x-amzn-bedrock-accept";
 const _xabct = "x-amzn-bedrock-content-type";
+const _xabg = "x-amzn-bedrock-guardrailidentifier";
+const _xabg_ = "x-amzn-bedrock-guardrailversion";
+const _xabt = "x-amzn-bedrock-trace";