> ## Documentation Index
> Fetch the complete documentation index at: https://www.adaline.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# AWS Bedrock

> Integrate AWS Bedrock models through the Adaline Proxy for automatic telemetry and observability.

# AWS Bedrock

Integrate AWS Bedrock foundation models through the Adaline Proxy to automatically capture telemetry — requests, responses, token usage, latency, and costs — with minimal code changes.

## Supported Models

**Chat Models**

| Model                                       | Description          |
| ------------------------------------------- | -------------------- |
| `anthropic.claude-opus-4-6-v1`              | Latest Claude Opus   |
| `anthropic.claude-opus-4-5-20251101-v1:0`   | Claude Opus 4.5      |
| `anthropic.claude-opus-4-20250514-v1:0`     | Claude Opus 4        |
| `anthropic.claude-sonnet-4-6-v1`            | Latest Claude Sonnet |
| `anthropic.claude-sonnet-4-5-20250929-v1:0` | Claude Sonnet 4.5    |
| `anthropic.claude-sonnet-4-20250514-v1:0`   | Claude Sonnet 4      |
| `anthropic.claude-haiku-4-5-20251001-v1:0`  | Claude Haiku 4.5     |
| `anthropic.claude-3-7-sonnet-20250219-v1:0` | Claude 3.7 Sonnet    |
| `anthropic.claude-3-5-sonnet-20241022-v2:0` | Claude 3.5 Sonnet v2 |
| `anthropic.claude-3-5-sonnet-20240620-v1:0` | Claude 3.5 Sonnet v1 |
| `anthropic.claude-3-5-haiku-20241022-v1:0`  | Claude 3.5 Haiku     |
| `anthropic.claude-3-opus-20240229-v1:0`     | Claude 3 Opus        |
| `anthropic.claude-3-sonnet-20240229-v1:0`   | Claude 3 Sonnet      |
| `anthropic.claude-3-haiku-20240307-v1:0`    | Claude 3 Haiku       |

## Proxy Base URL

```
https://gateway.adaline.ai/v1/bedrock/
```

## Prerequisites

1. An [AWS account](https://console.aws.amazon.com) with Bedrock model access enabled
2. AWS access key and secret key with Bedrock permissions
3. An [Adaline API key](/docs/admin/create-api-keys), project ID, and prompt ID

## Chat Completions

### Complete Chat

<CodeGroup>
  ```python Python theme={null}
  import boto3
  import json

  # Point the Bedrock runtime client at the Adaline Proxy
  client = boto3.client(
      "bedrock-runtime",
      region_name="us-east-1",
      aws_access_key_id="your-aws-access-key",
      aws_secret_access_key="your-aws-secret-key",
      endpoint_url="https://gateway.adaline.ai/v1/bedrock/"
  )

  response = client.invoke_model(
      modelId="anthropic.claude-3-5-sonnet-20241022-v2:0",
      contentType="application/json",
      accept="application/json",
      body=json.dumps({
          "anthropic_version": "bedrock-2023-05-31",
          "max_tokens": 1000,
          "messages": [
              {"role": "user", "content": "What is cloud computing?"}
          ]
      }),
      # Adaline headers passed as custom headers
      # Note: Header passing mechanism depends on your AWS SDK configuration
  )

  result = json.loads(response["body"].read())
  print(result["content"][0]["text"])
  ```
</CodeGroup>

<Note>
  AWS Bedrock integration through the proxy requires additional configuration depending on your AWS SDK version. Contact [support@adaline.ai](mailto:support@adaline.ai) for setup assistance.
</Note>

## Features

<AccordionGroup>
  <Accordion title="Multi-Provider Access">
    Access models from Anthropic, Meta, Mistral, and Amazon through a single AWS service.
  </Accordion>

  <Accordion title="Enterprise Security">
    Data stays within your AWS environment with VPC support and IAM-based access control.
  </Accordion>

  <Accordion title="Fine-tuning">
    Custom model fine-tuning on your own data through Bedrock's managed service.
  </Accordion>
</AccordionGroup>

## Next Steps

* [Multi-Step Workflows](/docs/integrations/examples/multi-step-workflows) — RAG pipelines, multi-step generation, and conversational agents
* [Headers Reference](/docs/reference/proxy/headers) — Complete header documentation

***

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