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<h3 class="m-0">Dev Codex</h3></a></div>
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<div class="col-12 col-md-8 d-flex justify-content-md-end justify-content-center mt-2 mt-md-0"><a href="https://github.com/ajaysskumar" class="text-white me-3" target="_blank"><i class="bi bi-github"></i></a>
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<a href="https://www.linkedin.com/in/ajaykumar1807" class="text-white me-3" target="_blank"><i class="bi bi-linkedin"></i></a></div></div></div></footer></main></div>
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blog/ai/bedrock/converse-tools/index.html

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<div class="col-md-4 col-xs-12 d-flex justify-content-md-end justify-content-center"><span class="text-muted fw-bold">Last updated: 24 Jan 2026</span></div></div></div></div></div></header>
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<section id="6f362d3d-4319-412c-80df-995499e808ec" style="margin-bottom:1rem;"><h4>What is the Converse API with Tools?</h4><hr class="border border-success border-1 opacity-50">
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<section id="9469d116-6357-4d8a-bc79-112a3f98289b" style="margin-bottom:1rem;"><h4>What is the Converse API with Tools?</h4><hr class="border border-success border-1 opacity-50">
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<div><p>
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AWS Bedrock's <b>Converse API</b> can be supercharged with <b>tools</b>—structured interfaces that let the model call functions, enforce output schemas, or interact with external systems. This enables developers to build AI agents that not only chat, but also return structured data, trigger workflows, or integrate with business logic.
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Tools let you move beyond plain text. They enable the model to return data in a format your application can consume directly—no more brittle prompt engineering or regex parsing!
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</p></div></div></div></section>
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<section id="40e0e6a3-9203-441c-83b0-d087c091f422" style="margin-bottom:1rem;"><h4>When and Why to Use Tools with Converse API</h4><hr class="border border-success border-1 opacity-50">
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<section id="980db0f5-c87b-401a-9bec-da028ab1bfe5" style="margin-bottom:1rem;"><h4>When and Why to Use Tools with Converse API</h4><hr class="border border-success border-1 opacity-50">
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<div><ul><li><b>Structured Output:</b> Enforce JSON schemas for reliable, machine-readable responses.</li>
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<li><b>Function Calling:</b> Let the model trigger business logic, database queries, or API calls.</li>
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<li><b>Data Extraction:</b> Extract entities, summaries, or analytics from unstructured text.</li>
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Use tools when you need more than just a chat—you want the AI to work as part of your system.
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</p></div></section>
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<section id="875274ef-5a76-4486-9044-e4901097be61" style="margin-bottom:1rem;"><h4>How: Building a Movie Info Extractor with Converse Tools</h4><hr class="border border-success border-1 opacity-50">
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<div><section id="33a4f2a5-1cbd-419e-b8f5-206a6bb63745" style="margin-bottom:1rem;"><h5>1. Prerequisites</h5><hr class="border border-success border-1 opacity-50">
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<section id="ac332f6c-7f88-443e-9e30-09d7ced50eac" style="margin-bottom:1rem;"><h4>How: Building a Movie Info Extractor with Converse Tools</h4><hr class="border border-success border-1 opacity-50">
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<div><section id="bdfadd99-2290-4bda-91d0-b6d019d5fcb9" style="margin-bottom:1rem;"><h5>1. Prerequisites</h5><hr class="border border-success border-1 opacity-50">
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<div><ul><li>AWS account with Bedrock access enabled.</li>
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<li>AWS credentials with permissions for Bedrock Converse API and tools.</li>
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<li>.NET 8 or later SDK installed.</li>
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<li>NuGet package: <b>AWSSDK.BedrockRuntime</b></li></ul></div></section>
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<section id="c6d7b2cd-ef00-4506-b354-70b82c05220b" style="margin-bottom:1rem;"><h5>2. Service Implementation Example</h5><hr class="border border-success border-1 opacity-50">
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<section id="d6d9ed34-67e6-4c00-8741-e4004f969be0" style="margin-bottom:1rem;"><h5>2. Service Implementation Example</h5><hr class="border border-success border-1 opacity-50">
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<div><p>This example shows how to use a tool schema to extract structured movie information from the model. The tool enforces a JSON schema, so the model must return an array of movie objects with required fields.</p>
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<div class="container"><div class="row"><div class="col-12"><pre class="pre-scrollable rounded border border-2 p-1 px-4"><code class="language-csharp" style="font-size: 0.8rem;">
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using Amazon.BedrockRuntime;
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<div class="callout-box special tip py-1"><div class="py-1"><span class="callout-icon">&#x1F4A1;</span>
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<span class="callout-title">Full Example on GitHub</span></div>
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<div class="callout-message"><p>See the complete implementation and usage in the <a href="https://github.com/ajaysskumar/ai-playground/blob/main/AwsBedrockExamples/Services/BedrockWithConverseToolsService.cs" target="_blank">BedrockWithConverseToolsService.cs</a> file on GitHub.</p></div></div></div></section>
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<section id="bb6d4b8e-3846-4772-bf8e-520e841f64e6" style="margin-bottom:1rem;"><h5>3. How the Example Works</h5><hr class="border border-success border-1 opacity-50">
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<section id="5e5433da-a7b2-4da9-9c85-f371be1479a7" style="margin-bottom:1rem;"><h5>3. How the Example Works</h5><hr class="border border-success border-1 opacity-50">
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<div><ul><li><b>Tool Schema:</b> Defines exactly what fields the model must return for each movie.</li>
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<li><b>System Prompt:</b> Sets the AI’s persona as a movie expert.</li>
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<li><b>Tool Use:</b> The model is required to use the tool and return structured data.</li>
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<li><b>Extraction:</b> The code parses the tool output and returns formatted JSON.</li></ul></div></section>
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<section id="c714ce55-0ed1-4d46-82e0-0f68186fc4d9" style="margin-bottom:1rem;"><h5>4. Example Use Case: Movie Info Extraction</h5><hr class="border border-success border-1 opacity-50">
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<section id="9803f068-3a64-45ed-a058-559ee5d54c8f" style="margin-bottom:1rem;"><h5>4. Example Use Case: Movie Info Extraction</h5><hr class="border border-success border-1 opacity-50">
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<div><p>Suppose a user wants to get details about "Inception". The service will return a structured JSON array with all the required fields, ready for use in your app or workflow.</p>
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var service = new BedrockWithConverseToolsService();
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<br>
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<p>The output will be a JSON array of movie objects, each with title, year, category, directors, actors, plot, genre, and rating.</p></div></section></div></section>
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<section id="ff10e9f9-17b4-4f96-ba19-72d7af78d644" style="margin-bottom:1rem;"><h4>Summary</h4><hr class="border border-success border-1 opacity-50">
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<section id="3662bab4-2b24-4e4d-a915-b5746af6e142" style="margin-bottom:1rem;"><h4>Summary</h4><hr class="border border-success border-1 opacity-50">
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<div><ul><li><b>What:</b> Converse API with tools lets you build AI agents that return structured, reliable data—not just text.</li>
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<li><b>When:</b> Use tools for data extraction, workflow automation, and any scenario where you need more than chat.</li>
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<li><b>How:</b> Define tool schemas, enforce output structure, and integrate with your .NET apps using the AWS SDK.</li></ul>
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<p>
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For more details and the full code, see the <a href="https://github.com/ajaysskumar/ai-playground/blob/main/AwsBedrockExamples/Services/BedrockWithConverseToolsService.cs" target="_blank">GitHub example</a>.
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</p></div></section>
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<section id="cd0357f5-c744-44dd-abcc-9eda0e5f8f76" style="margin-bottom:1rem;"><h4>References &amp; Further Reading</h4><hr class="border border-success border-1 opacity-50">
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<section id="808cae55-e402-45b5-855b-75062bcd97b4" style="margin-bottom:1rem;"><h4>References &amp; Further Reading</h4><hr class="border border-success border-1 opacity-50">
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<div><ul><li><a href="https://docs.aws.amazon.com/bedrock/latest/userguide/converse-api.html" target="_blank">AWS Bedrock Converse API Documentation</a></li>
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<li><a href="https://github.com/ajaysskumar/ai-playground/blob/main/AwsBedrockExamples/Services/BedrockWithConverseToolsService.cs" target="_blank">BedrockWithConverseToolsService.cs on GitHub</a></li></ul></div></section>
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<div class="col-12 col-md-8 d-flex justify-content-md-end justify-content-center mt-2 mt-md-0"><a href="https://github.com/ajaysskumar" class="text-white me-3" target="_blank"><i class="bi bi-github"></i></a>
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<a href="https://www.linkedin.com/in/ajaykumar1807" class="text-white me-3" target="_blank"><i class="bi bi-linkedin"></i></a></div></div></div></footer></main></div>
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