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* If a model has unique inference parameters, you can also pass those unique parameters
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* to the model.</p>
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* <p>Amazon Bedrock doesn't store any text, images, or documents that you provide as content. The data is only used to generate the response.</p>
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* <p>You can submit a prompt by including it in the <code>messages</code> field, specifying the <code>modelId</code> of a foundation model or inference profile to run inference on it, and including any other fields that are relevant to your use case.</p>
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* <p>You can also submit a prompt from Prompt management by specifying the ARN of the prompt version and including a map of variables to values in the <code>promptVariables</code> field. You can append more messages to the prompt by using the <code>messages</code> field. If you use a prompt from Prompt management, you can't include the following fields in the request: <code>additionalModelRequestFields</code>, <code>inferenceConfig</code>, <code>system</code>, or <code>toolConfig</code>. Instead, these fields must be defined through Prompt management. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/prompt-management-use.html">Use a prompt from Prompt management</a>.</p>
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* <p>For information about the Converse API, see <i>Use the Converse API</i> in the <i>Amazon Bedrock User Guide</i>.
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* To use a guardrail, see <i>Use a guardrail with the Converse API</i> in the <i>Amazon Bedrock User Guide</i>.
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* To use a tool with a model, see <i>Tool use (Function calling)</i> in the <i>Amazon Bedrock User Guide</i>
* <p>The CLI doesn't support streaming operations in Amazon Bedrock, including <code>ConverseStream</code>.</p>
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* </note>
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* <p>Amazon Bedrock doesn't store any text, images, or documents that you provide as content. The data is only used to generate the response.</p>
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* <p>You can submit a prompt by including it in the <code>messages</code> field, specifying the <code>modelId</code> of a foundation model or inference profile to run inference on it, and including any other fields that are relevant to your use case.</p>
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* <p>You can also submit a prompt from Prompt management by specifying the ARN of the prompt version and including a map of variables to values in the <code>promptVariables</code> field. You can append more messages to the prompt by using the <code>messages</code> field. If you use a prompt from Prompt management, you can't include the following fields in the request: <code>additionalModelRequestFields</code>, <code>inferenceConfig</code>, <code>system</code>, or <code>toolConfig</code>. Instead, these fields must be defined through Prompt management. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/prompt-management-use.html">Use a prompt from Prompt management</a>.</p>
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* <p>For information about the Converse API, see <i>Use the Converse API</i> in the <i>Amazon Bedrock User Guide</i>.
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* To use a guardrail, see <i>Use a guardrail with the Converse API</i> in the <i>Amazon Bedrock User Guide</i>.
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* To use a tool with a model, see <i>Tool use (Function calling)</i> in the <i>Amazon Bedrock User Guide</i>
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