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Updated API models and rebuilt service gems.
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README.md

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| Auto Scaling | Aws::AutoScaling | aws-sdk-autoscaling | 2011-01-01 |
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| Braket | Aws::Braket | aws-sdk-braket | 2019-09-01 |
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| CloudWatch Observability Access Manager | Aws::OAM | aws-sdk-oam | 2022-06-10 |
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| CloudWatch Observability Admin Service | Aws::ObservabilityAdmin | aws-sdk-observabilityadmin | 2018-05-10 |
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| CloudWatch RUM | Aws::CloudWatchRUM | aws-sdk-cloudwatchrum | 2018-05-10 |
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| CodeArtifact | Aws::CodeArtifact | aws-sdk-codeartifact | 2018-09-22 |
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| Cost Optimization Hub | Aws::CostOptimizationHub | aws-sdk-costoptimizationhub | 2022-07-26 |

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

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"BedrockEmbeddingModelConfiguration":{
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"type":"structure",
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"members":{
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"dimensions":{"shape":"Dimensions"}
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"dimensions":{"shape":"Dimensions"},
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"embeddingDataType":{"shape":"EmbeddingDataType"}
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}
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},
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"BedrockFoundationModelConfiguration":{
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"target":{"shape":"FlowNodeName"}
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}
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},
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"EmbeddingDataType":{
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"type":"string",
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"enum":[
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"FLOAT32",
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"BINARY"
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]
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},
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"EmbeddingModelConfiguration":{
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"type":"structure",
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"members":{

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

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"FlowValidationDetails$duplicateConnections": "<p>Details about duplicate connections between nodes.</p>"
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}
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},
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"EmbeddingDataType": {
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"base": "<p>Bedrock models embedding data type. Can be either float32 or binary</p>",
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"refs": {
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"BedrockEmbeddingModelConfiguration$embeddingDataType": "<p>The data type for the vectors when using a model to convert text into vector embeddings. The model must support the specified data type for vector embeddings. Floating-point (float32) is the default data type, and is supported by most models for vector embeddings. See <a href=\"https://docs.aws.amazon.com/bedrock/latest/userguide/knowledge-base-supported.html\">Supported embeddings models</a> for information on the available models and their vector data types.</p>"
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}
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},
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"EmbeddingModelConfiguration": {
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"base": "<p>The configuration details for the embeddings model.</p>",
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"refs": {

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