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Updated API models and rebuilt service gems.
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‎README.md

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@@ -541,7 +541,6 @@ RubyGems.org page under "LINKS" section.
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| Amazon EMR | Aws::EMR | aws-sdk-emr | 2009-03-31 |
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| Amazon EMR Containers | Aws::EMRContainers | aws-sdk-emrcontainers | 2020-10-01 |
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| Amazon ElastiCache | Aws::ElastiCache | aws-sdk-elasticache | 2015-02-02 |
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| Amazon Elastic Inference | Aws::ElasticInference | aws-sdk-elasticinference | 2017-07-25 |
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| Amazon Elastic Block Store | Aws::EBS | aws-sdk-ebs | 2019-11-02 |
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| Amazon Elastic Compute Cloud | Aws::EC2 | aws-sdk-ec2 | 2016-11-15 |
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| Amazon Elastic Container Registry | Aws::ECR | aws-sdk-ecr | 2015-09-21 |

‎apis/bedrock-agent-runtime/2023-07-26/api-2.json

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"modelArn":{"shape":"BedrockModelArn"}
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}
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},
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"Blob":{"type":"blob"},
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"Boolean":{
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"type":"boolean",
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"box":true
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"MaximumLength":{
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"type":"integer",
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"box":true,
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"max":4096,
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"max":8192,
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"min":0
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},
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"Memories":{
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"members":{
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"metadata":{"shape":"Metadata"},
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"rawResponse":{"shape":"RawResponse"},
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"reasoningContent":{"shape":"ReasoningContentBlock"},
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"traceId":{"shape":"TraceId"}
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},
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"sensitive":true
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"metadata":{"shape":"Metadata"},
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"parsedResponse":{"shape":"PostProcessingParsedResponse"},
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"rawResponse":{"shape":"RawResponse"},
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"reasoningContent":{"shape":"ReasoningContentBlock"},
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"traceId":{"shape":"TraceId"}
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},
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"sensitive":true
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"metadata":{"shape":"Metadata"},
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"parsedResponse":{"shape":"PreProcessingParsedResponse"},
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"rawResponse":{"shape":"RawResponse"},
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"reasoningContent":{"shape":"ReasoningContentBlock"},
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"traceId":{"shape":"TraceId"}
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},
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"sensitive":true
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},
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"sensitive":true
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},
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"ReasoningContentBlock":{
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"type":"structure",
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"members":{
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"reasoningText":{"shape":"ReasoningTextBlock"},
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"redactedContent":{"shape":"Blob"}
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},
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"sensitive":true,
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"union":true
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},
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"ReasoningTextBlock":{
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"type":"structure",
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"required":["text"],
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"members":{
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"signature":{"shape":"String"},
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"text":{"shape":"String"}
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},
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"sensitive":true
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},
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"RepromptResponse":{
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"type":"structure",
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"members":{

‎apis/bedrock-agent-runtime/2023-07-26/docs-2.json

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"BedrockRerankingConfiguration$modelConfiguration": "<p>Contains configurations for a reranker model.</p>"
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}
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},
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"Blob": {
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"base": null,
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"refs": {
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"ReasoningContentBlock$redactedContent": "<p>The content in the reasoning that was encrypted by the model provider for trust and safety reasons.</p>"
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}
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},
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"Boolean": {
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"base": null,
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"refs": {
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"refs": {
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"ModelInvocationInput$parserMode": "<p>Specifies whether to override the default parser Lambda function when parsing the raw foundation model output in the part of the agent sequence defined by the <code>promptType</code>.</p>",
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"ModelInvocationInput$promptCreationMode": "<p>Specifies whether the default prompt template was <code>OVERRIDDEN</code>. If it was, the <code>basePromptTemplate</code> that was set in the <a href=\"https://docs.aws.amazon.com/bedrock/latest/APIReference/API_agent_PromptOverrideConfiguration.html\">PromptOverrideConfiguration</a> object when the agent was created or updated is used instead.</p>",
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"PromptConfiguration$parserMode": "<p>Specifies whether to override the default parser Lambda function when parsing the raw foundation model output in the part of the agent sequence defined by the <code>promptType</code>. If you set the field as <code>OVERRIDEN</code>, the <code>overrideLambda</code> field in the <a href=\"https://docs.aws.amazon.com/bedrock/latest/APIReference/API_agent_PromptOverrideConfiguration.html\">PromptOverrideConfiguration</a> must be specified with the ARN of a Lambda function.</p>",
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"PromptConfiguration$parserMode": "<p>Specifies whether to override the default parser Lambda function when parsing the raw foundation model output in the part of the agent sequence defined by the <code>promptType</code>. If you set the field as <code>OVERRIDDEN</code>, the <code>overrideLambda</code> field in the <a href=\"https://docs.aws.amazon.com/bedrock/latest/APIReference/API_agent_PromptOverrideConfiguration.html\">PromptOverrideConfiguration</a> must be specified with the ARN of a Lambda function.</p>",
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"PromptConfiguration$promptCreationMode": "<p>Specifies whether to override the default prompt template for this <code>promptType</code>. Set this value to <code>OVERRIDDEN</code> to use the prompt that you provide in the <code>basePromptTemplate</code>. If you leave it as <code>DEFAULT</code>, the agent uses a default prompt template.</p>"
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}
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},
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"RoutingClassifierModelInvocationOutput$rawResponse": "<p>The invocation's raw response.</p>"
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}
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},
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"ReasoningContentBlock": {
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"base": "<p>Contains content regarding the reasoning that the foundation model made with respect to the content in the content block. Reasoning refers to a Chain of Thought (CoT) that the model generates to enhance the accuracy of its final response.</p>",
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"refs": {
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"OrchestrationModelInvocationOutput$reasoningContent": "<p>Contains content about the reasoning that the model made during the orchestration step. </p>",
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"PostProcessingModelInvocationOutput$reasoningContent": "<p>Contains content about the reasoning that the model made during the post-processing step.</p>",
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"PreProcessingModelInvocationOutput$reasoningContent": "<p>Contains content about the reasoning that the model made during the pre-processing step. </p>"
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}
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},
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"ReasoningTextBlock": {
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"base": "<p>Contains information about the reasoning that the model used to return the content in the content block.</p>",
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"refs": {
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"ReasoningContentBlock$reasoningText": "<p>Contains information about the reasoning that the model used to return the content in the content block.</p>"
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}
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},
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"RepromptResponse": {
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"base": "<p>Contains details about the agent's response to reprompt the input.</p>",
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"refs": {
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"PromptSessionAttributesMap$key": null,
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"PromptSessionAttributesMap$value": null,
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"RawResponse$content": "<p>The foundation model's raw output content.</p>",
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"ReasoningTextBlock$signature": "<p>A hash of all the messages in the conversation to ensure that the content in the reasoning text block isn't tampered with. You must submit the signature in subsequent <code>Converse</code> requests, in addition to the previous messages. If the previous messages are tampered with, the response throws an error.</p>",
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"ReasoningTextBlock$text": "<p>Text describing the reasoning that the model used to return the content in the content block.</p>",
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"RepromptResponse$text": "<p>The text reprompting the input.</p>",
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"ResponseBody$key": null,
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"RetrievalResultConfluenceLocation$url": "<p>The Confluence host URL for the data source location.</p>",

‎apis/bedrock-agent/2023-06-05/api-2.json

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},
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"TextPrompt":{
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"type":"string",
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"max":200000,
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"min":1,
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"sensitive":true
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},

‎apis/bedrock-runtime/2023-09-30/api-2.json

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"members":{
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}
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},
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"Blob":{"type":"blob"},
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"Body":{
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"type":"blob",
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"max":25000000,
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"video":{"shape":"VideoBlock"},
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"toolUse":{"shape":"ToolUseBlock"},
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"toolResult":{"shape":"ToolResultBlock"},
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"guardContent":{"shape":"GuardrailConverseContentBlock"}
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"guardContent":{"shape":"GuardrailConverseContentBlock"},
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"reasoningContent":{"shape":"ReasoningContentBlock"}
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},
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"union":true
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},
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"ContentBlockDelta":{
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"type":"structure",
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"members":{
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"text":{"shape":"String"},
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"toolUse":{"shape":"ToolUseBlockDelta"}
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"toolUse":{"shape":"ToolUseBlockDelta"},
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"reasoningContent":{"shape":"ReasoningContentBlockDelta"}
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},
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"union":true
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},
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},
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"union":true
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},
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"ReasoningContentBlock":{
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"type":"structure",
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"members":{
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"reasoningText":{"shape":"ReasoningTextBlock"},
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"redactedContent":{"shape":"Blob"}
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},
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"sensitive":true,
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"union":true
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},
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"ReasoningContentBlockDelta":{
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"type":"structure",
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"members":{
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"text":{"shape":"String"},
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"redactedContent":{"shape":"Blob"},
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"signature":{"shape":"String"}
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},
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"sensitive":true,
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"union":true
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},
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"ReasoningTextBlock":{
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"type":"structure",
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"required":["text"],
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"members":{
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"text":{"shape":"String"},
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"signature":{"shape":"String"}
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},
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"sensitive":true
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},
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"RequestMetadata":{
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"type":"map",
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"key":{"shape":"RequestMetadataKeyString"},

‎apis/bedrock-runtime/2023-09-30/docs-2.json

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"ToolChoice$auto": "<p>(Default). The Model automatically decides if a tool should be called or whether to generate text instead. </p>"
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}
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},
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"Blob": {
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"base": null,
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"refs": {
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"ReasoningContentBlock$redactedContent": "<p>The content in the reasoning that was encrypted by the model provider for safety reasons. The encryption doesn't affect the quality of responses.</p>",
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"ReasoningContentBlockDelta$redactedContent": "<p>The content in the reasoning that was encrypted by the model provider for safety reasons. The encryption doesn't affect the quality of responses.</p>"
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}
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},
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"Body": {
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"base": null,
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"refs": {
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}
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},
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"ContentBlockDelta": {
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"base": "<p>A bock of content in a streaming response.</p>",
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"base": "<p>A block of content in a streaming response.</p>",
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"refs": {
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"ContentBlockDeltaEvent$delta": "<p>The delta for a content block delta event.</p>"
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}
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"PromptVariableMap$value": null
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}
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},
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"ReasoningContentBlock": {
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"base": "<p>Contains content regarding the reasoning that is carried out by the model with respect to the content in the content block. Reasoning refers to a Chain of Thought (CoT) that the model generates to enhance the accuracy of its final response.</p>",
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"refs": {
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"ContentBlock$reasoningContent": "<p>Contains content regarding the reasoning that is carried out by the model. Reasoning refers to a Chain of Thought (CoT) that the model generates to enhance the accuracy of its final response.</p>"
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}
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},
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"ReasoningContentBlockDelta": {
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"base": "<p>Contains content regarding the reasoning that is carried out by the model with respect to the content in the content block. Reasoning refers to a Chain of Thought (CoT) that the model generates to enhance the accuracy of its final response.</p>",
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"refs": {
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"ContentBlockDelta$reasoningContent": "<p>Contains content regarding the reasoning that is carried out by the model. Reasoning refers to a Chain of Thought (CoT) that the model generates to enhance the accuracy of its final response.</p>"
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}
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},
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"ReasoningTextBlock": {
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"base": "<p>Contains the reasoning that the model used to return the output.</p>",
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"refs": {
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"ReasoningContentBlock$reasoningText": "<p>The reasoning that the model used to return the output.</p>"
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}
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},
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"RequestMetadata": {
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"base": null,
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"refs": {
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"GuardrailTopic$name": "<p>The name for the guardrail.</p>",
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"PromptVariableMap$key": null,
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"PromptVariableValues$text": "<p>The text value that the variable maps to.</p>",
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"ReasoningContentBlockDelta$text": "<p>The reasoning that the model used to return the output.</p>",
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"ReasoningContentBlockDelta$signature": "<p>A token that verifies that the reasoning text was generated by the model. If you pass a reasoning block back to the API in a multi-turn conversation, include the text and its signature unmodified.</p>",
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"ReasoningTextBlock$text": "<p>The reasoning that the model used to return the output.</p>",
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"ReasoningTextBlock$signature": "<p>A token that verifies that the reasoning text was generated by the model. If you pass a reasoning block back to the API in a multi-turn conversation, include the text and its signature unmodified.</p>",
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"ToolResultContentBlock$text": "<p>A tool result that is text.</p>",
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"ToolUseBlockDelta$input": "<p>The input for a requested tool.</p>"
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}

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