Anthropic 平台文档（英文全量）

This page covers the legacy Amazon Bedrock integration: the InvokeModel and Converse APIs with ARN-versioned model identifiers and AWS event-stream encoding. For models available on the Messages-API Bedrock endpoint, see Claude in Amazon Bedrock, which uses the Messages API at /anthropic/v1/messages with SSE streaming. For an Anthropic-operated alternative with AWS Marketplace billing and typically same-day feature access, see Claude Platform on AWS. Existing Bedrock users can follow the migration guide.

Calling Claude through Bedrock slightly differs from how you would call Claude on the Claude API directly. This guide walks you through completing an API call to Claude on Bedrock using one of Anthropic's client SDKs.

Note that this guide assumes you have already signed up for an AWS account and configured programmatic access.

Install and configure the AWS CLI

Install a version of the AWS CLI at or newer than version 2.13.23.
Configure your AWS credentials using the AWS configure command (see Configure the AWS CLI) or find your credentials by navigating to "Command line or programmatic access" within your AWS dashboard and following the directions in the modal window.
Verify that your credentials are working:

bash

aws sts get-caller-identity

Install an SDK for accessing Bedrock

Anthropic's client SDKs support Bedrock. You can also use an AWS SDK like boto3 directly.

```bash
pip install -U "anthropic[bedrock]"
```

```bash
npm install @anthropic-ai/bedrock-sdk
```

```bash
dotnet add package Anthropic.Bedrock
```

```bash
go get github.com/anthropics/anthropic-sdk-go/bedrock
```

  ```groovy Gradle
  implementation("com.anthropic:anthropic-java-bedrock:2.60.0")
  ```

  ```xml Maven
  &lt;dependency>
      &lt;groupId>com.anthropic&lt;/groupId>
      &lt;artifactId>anthropic-java-bedrock&lt;/artifactId>
      &lt;version>2.60.0&lt;/version>
  &lt;/dependency>
  ```

  ```java Java
  import com.anthropic.client.AnthropicClient;
  import com.anthropic.client.okhttp.AnthropicOkHttpClient;
  import com.anthropic.bedrock.backends.BedrockBackend;
  import com.anthropic.models.messages.MessageCreateParams;
  import com.anthropic.models.messages.Message;
  import com.anthropic.models.messages.Model;

  public class BasicMessage \{
      public static void main(String[] args) \{
          AnthropicClient client = AnthropicOkHttpClient.builder()
              .backend(BedrockBackend.fromEnv())
              .build();

          MessageCreateParams params = MessageCreateParams.builder()
              .model(Model.CLAUDE_OPUS_4_6)
              .maxTokens(1024L)
              .addUserMessage("What is the capital of France?")
              .build();

          Message response = client.messages().create(params);
          response.content().stream()
              .flatMap(block -> block.text().stream())
              .forEach(textBlock -> System.out.println(textBlock.text()));
      \}
  \}
  ```

```bash
composer require anthropic-ai/sdk aws/aws-sdk-php
```

```bash
# Gemfile
gem "anthropic"
gem "aws-sdk-bedrockruntime"
```

```bash
pip install "boto3>=1.28.59"
```

Accessing Bedrock

Go to the AWS Console > Bedrock > Model Access and request access to Anthropic models. Note that Anthropic model availability varies by region. See AWS documentation for latest information.

API model IDs

Claude Fable 5.1, Claude Fable 5, Claude Opus 5, Claude Sonnet 5, Claude Opus 4.8, and Claude Opus 4.7 are reachable through InvokeModel on bedrock-runtime. These requests are served by the same infrastructure as the Claude in Amazon Bedrock endpoint. For the native Messages API request shape and full feature parity, use that page. These models are omitted from the model table on this page because they do not have ARN-versioned model IDs.

Lifecycle terms (Deprecated, Retired) are defined in Model deprecations. Lifecycle dates on partner-operated platforms are set by the partner and can differ from the Claude API schedule. For the current retirement date of any model on Amazon Bedrock, see Amazon Bedrock's model lifecycle page.

AWS offers newer Claude models through cross-region inference rather than on-demand throughput. For these models, a request that passes the base model ID fails with an HTTP 400 error like the following:

text

Invocation of model ID anthropic.claude-sonnet-4-5-20250929-v1:0 with on-demand throughput isn't supported. Retry your request with the ID or ARN of an inference profile that contains this model.

To invoke these models, pass an inference profile instead of the base model ID. The inference profile ID is the base model ID with a prefix from a column marked "Yes" in the following table, for example us.anthropic.claude-sonnet-4-5-20250929-v1:0. You can also pass the full inference profile ARN, in the form arn:aws:bedrock:\{region\}:\{account-id\}:inference-profile/\{inference-profile-id\}. For AWS's authoritative list of available inference profiles, see Supported Regions and models for inference profiles. To learn how the prefixes affect routing and pricing, see the Global versus regional endpoints section.

Model	Base Bedrock model ID	`global`	`us`	`eu`	`jp`	`apac`
Claude Opus 4.6	anthropic.claude-opus-4-6-v1	Yes	Yes	Yes	Yes	Yes
Claude Sonnet 4.6	anthropic.claude-sonnet-4-6	Yes	Yes	Yes	Yes	No
Claude Sonnet 4.5	anthropic.claude-sonnet-4-5-20250929-v1:0	Yes	Yes	Yes	Yes	No
Claude Sonnet 4 Deprecated.	anthropic.claude-sonnet-4-20250514-v1:0	Yes	Yes	Yes	No	Yes
Claude Sonnet 3.7 Retired.	anthropic.claude-3-7-sonnet-20250219-v1:0	No	No	No	No	No
Claude Opus 4.5	anthropic.claude-opus-4-5-20251101-v1:0	Yes	Yes	Yes	No	No
Claude Opus 4.1 Deprecated.	anthropic.claude-opus-4-1-20250805-v1:0	No	Yes	No	No	No
Claude Opus 4 Retired.	anthropic.claude-opus-4-20250514-v1:0	No	No	No	No	No
Claude Haiku 4.5	anthropic.claude-haiku-4-5-20251001-v1:0	Yes	Yes	Yes	No	No
Claude Haiku 3.5 Deprecated.	anthropic.claude-3-5-haiku-20241022-v1:0	No	Yes	No	No	No

List available models

The following examples show how to print a list of all the Claude models available through Bedrock:

bash

aws bedrock list-foundation-models --region=us-west-2 --by-provider anthropic --query "modelSummaries[*].modelId"

python

import boto3

bedrock = boto3.client(service_name="bedrock")
response = bedrock.list_foundation_models(byProvider="anthropic")

for summary in response["modelSummaries"]:
    print(summary["modelId"])

typescript

import { BedrockClient, ListFoundationModelsCommand } from "@aws-sdk/client-bedrock";

const client = new BedrockClient({ region: "us-west-2" });

const command = new ListFoundationModelsCommand({ byProvider: "anthropic" });
const response = await client.send(command);

if (response.modelSummaries) {
  for (const summary of response.modelSummaries) {
    console.log(summary.modelId);
  }
}

csharp

using Amazon;
using Amazon.Bedrock;
using Amazon.Bedrock.Model;

var client = new AmazonBedrockClient(RegionEndpoint.USWest2);

var request = new ListFoundationModelsRequest
{
    ByProvider = "anthropic"
};

var response = await client.ListFoundationModelsAsync(request);

foreach (var summary in response.ModelSummaries)
{
    Console.WriteLine(summary.ModelId);
}

import (
	"context"
	"fmt"
	"log"

	"github.com/aws/aws-sdk-go-v2/config"
	"github.com/aws/aws-sdk-go-v2/service/bedrock"
)
// ...
	cfg, err := config.LoadDefaultConfig(context.TODO(), config.WithRegion("us-west-2"))
	if err != nil {
		log.Fatal(err)
	}

	client := bedrock.NewFromConfig(cfg)

	byProvider := "anthropic"
	response, err := client.ListFoundationModels(context.TODO(), &bedrock.ListFoundationModelsInput{
		ByProvider: &byProvider,
	})
	if err != nil {
		log.Fatal(err)
	}

	for _, summary := range response.ModelSummaries {
		fmt.Println(*summary.ModelId)
	}

java

import software.amazon.awssdk.regions.Region;
import software.amazon.awssdk.services.bedrock.BedrockClient;
import software.amazon.awssdk.services.bedrock.model.ListFoundationModelsRequest;
import software.amazon.awssdk.services.bedrock.model.ListFoundationModelsResponse;
import software.amazon.awssdk.services.bedrock.model.FoundationModelSummary;

public class ListAnthropicModels {
    public static void main(String[] args) {
        BedrockClient client = BedrockClient.builder()
            .region(Region.US_WEST_2)
            .build();

        ListFoundationModelsRequest request = ListFoundationModelsRequest.builder()
            .byProvider("anthropic")
            .build();

        ListFoundationModelsResponse response = client.listFoundationModels(request);

        for (FoundationModelSummary summary : response.modelSummaries()) {
            System.out.println(summary.modelId());
        }

        client.close();
    }
}

php

<?php

use Aws\Bedrock\BedrockClient;

$client = new BedrockClient([
    'region' => 'us-west-2',
    'version' => 'latest'
]);

$result = $client->listFoundationModels([
    'byProvider' => 'anthropic'
]);

foreach ($result['modelSummaries'] as $summary) {
    echo $summary['modelId'] . PHP_EOL;
}

ruby

require "aws-sdk-bedrock"

client = Aws::Bedrock::Client.new(region: "us-west-2")

response = client.list_foundation_models({
  by_provider: "anthropic"
})

response.model_summaries.each do |summary|
  puts summary.model_id
end

Making requests

The following examples show how to generate text from Claude on Bedrock:

  Calling the `InvokeModel` API with AWS credentials requires SigV4 request signing, which the SDKs in the other tabs handle automatically. For a Bedrock endpoint you can call with a self-contained cURL command, see [Claude in Amazon Bedrock](https://platform.claude.com/docs/en/build-with-claude/claude-in-amazon-bedrock#making-your-first-request).

  The `ant` CLI does not support Amazon Bedrock. Use one of the SDK examples instead.

```python
from anthropic import AnthropicBedrock

client = AnthropicBedrock(
    # Authenticate by either providing the keys below or use the default AWS credential providers, such as
    # using ~/.aws/credentials or the "AWS_SECRET_ACCESS_KEY" and "AWS_ACCESS_KEY_ID" environment variables.
    aws_access_key="&lt;access key>",
    aws_secret_key="&lt;secret key>",
    # Temporary credentials can be used with aws_session_token.
    # Read more at https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_temp.html.
    aws_session_token="&lt;session_token>",
    # aws_region changes the aws region to which the request is made. If it is not provided, the SDK reads
    # AWS_REGION / AWS_DEFAULT_REGION, then the region configured for your boto3 session or AWS profile
    # (including ~/.aws/config), and raises ValueError if no region can be resolved.
    aws_region="us-west-2",
)

message = client.messages.create(
    model="global.anthropic.claude-opus-4-6-v1",
    max_tokens=256,
    messages=[\{"role": "user", "content": "Hello, world"\}],
)
print(message.content)
```

```typescript
import AnthropicBedrock from "@anthropic-ai/bedrock-sdk";

const client = new AnthropicBedrock(\{
  // Authenticate by either providing the keys below or use
  // the default AWS credential providers, such as
  // ~/.aws/credentials or the "AWS_SECRET_ACCESS_KEY" and
  // "AWS_ACCESS_KEY_ID" environment variables.
  awsAccessKey: "&lt;access key>",
  awsSecretKey: "&lt;secret key>",

  // Temporary credentials can be used with awsSessionToken.
  // Read more at https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_temp.html.
  awsSessionToken: "&lt;session_token>",

  // awsRegion changes the aws region to which the request
  // is made. By default, the SDK reads AWS_REGION, and if
  // that's not present, defaults to us-east-1. Note that
  // the SDK does not read ~/.aws/config for the region.
  awsRegion: "us-west-2"
\});

const message = await client.messages.create(\{
  model: "global.anthropic.claude-opus-4-6-v1",
  max_tokens: 256,
  messages: [\{ role: "user", content: "Hello, world" \}]
\});
console.log(message);
```

```csharp
using Anthropic.Bedrock;
using Anthropic.Models.Messages;

AnthropicBedrockClient client = new(
    await AnthropicBedrockCredentialsHelper.FromEnv()
    ?? throw new InvalidOperationException("AWS credentials not configured.")
);

var response = await client.Messages.Create(new MessageCreateParams
\{
    Model = "global.anthropic.claude-opus-4-6-v1",
    MaxTokens = 256,
    Messages = [new() \{ Role = Role.User, Content = "Hello, world" \}],
\});

Console.WriteLine(
    string.Join("", response.Content
        .Select(block => block.Value)
        .OfType&lt;TextBlock>()
        .Select(textBlock => textBlock.Text)));
```

```go
import (
	"context"
	"fmt"

	"github.com/anthropics/anthropic-sdk-go"
	"github.com/anthropics/anthropic-sdk-go/bedrock"
)
// ...
	// Uses default AWS credential provider chain
	client := anthropic.NewClient(
		bedrock.WithLoadDefaultConfig(context.Background()),
	)

	message, err := client.Messages.New(context.Background(), anthropic.MessageNewParams\{
		Model:     "global.anthropic.claude-opus-4-6-v1",
		MaxTokens: 256,
		Messages: []anthropic.MessageParam\{
			anthropic.NewUserMessage(anthropic.NewTextBlock("Hello, world")),
		\},
	\})
	if err != nil \{
		panic(err)
	\}
	fmt.Println(message.Content)
```

```java
import com.anthropic.bedrock.backends.BedrockBackend;
import com.anthropic.client.AnthropicClient;
import com.anthropic.client.okhttp.AnthropicOkHttpClient;
import com.anthropic.models.messages.Message;
import com.anthropic.models.messages.MessageCreateParams;

public class BedrockExample \{

  public static void main(String[] args) \{
    // Uses default AWS credential provider chain
    AnthropicClient client = AnthropicOkHttpClient.builder()
      .backend(BedrockBackend.fromEnv())
      .build();

    Message message = client
      .messages()
      .create(
        MessageCreateParams.builder()
          .model("global.anthropic.claude-opus-4-6-v1")
          .maxTokens(256)
          .addUserMessage("Hello, world")
          .build()
      );

    System.out.println(message.content());
  \}
\}
```

```php
<?php

use Anthropic\Bedrock;

$client = Bedrock\Client::withCredentials(
    accessKeyId: getenv("AWS_ACCESS_KEY_ID"),
    secretAccessKey: getenv("AWS_SECRET_ACCESS_KEY"),
    region: 'us-west-2',
    securityToken: getenv("AWS_SESSION_TOKEN"),
);

$message = $client->messages->create(
    maxTokens: 256,
    messages: [
        ['role' => 'user', 'content' => 'Hello, world']
    ],
    model: 'global.anthropic.claude-opus-4-6-v1',
);
echo $message->content[0]->text;
```

```ruby
require "anthropic"

client = Anthropic::BedrockClient.new

message = client.messages.create(
  model: "global.anthropic.claude-opus-4-6-v1",
  max_tokens: 256,
  messages: [\{role: "user", content: "Hello, world"\}]
)

puts message.content.first.text
```

```python
import boto3
import json

bedrock = boto3.client(service_name="bedrock-runtime")
body = json.dumps(
    \{
        "max_tokens": 256,
        "messages": [\{"role": "user", "content": "Hello, world"\}],
        "anthropic_version": "bedrock-2023-05-31",
    \}
)

response = bedrock.invoke_model(
    body=body, modelId="global.anthropic.claude-opus-4-6-v1"
)

response_body = json.loads(response.get("body").read())
print(response_body.get("content"))
```

See the client SDKs for more details, and the official Bedrock documentation.

Bearer token authentication

You can authenticate with Bedrock using bearer tokens instead of AWS credentials. This is useful in corporate environments where teams need access to Bedrock without managing AWS credentials, IAM roles, or account-level permissions.

The simplest approach is to set the AWS_BEARER_TOKEN_BEDROCK environment variable, which each SDK detects automatically when resolving credentials from the environment.

To provide a token programmatically:

  This section shows how to configure a bearer token in an SDK client. The SDKs also read the token from the `AWS_BEARER_TOKEN_BEDROCK` environment variable. To make direct HTTP requests with a bearer token, see the [Amazon Bedrock documentation](https://docs.aws.amazon.com/bedrock/).

  The `ant` CLI does not support Amazon Bedrock. Use one of the SDK examples instead.

```python
from anthropic import AnthropicBedrock

client = AnthropicBedrock(
    api_key="your-bearer-token",
    aws_region="us-west-2",
)

message = client.messages.create(
    model="us.anthropic.claude-sonnet-4-5-20250929-v1:0",
    max_tokens=1024,
    messages=[\{"role": "user", "content": "Hello!"\}],
)
print(message.content)
```

```typescript
import AnthropicBedrock from "@anthropic-ai/bedrock-sdk";

const client = new AnthropicBedrock(\{
  apiKey: "your-bearer-token",
  awsRegion: "us-west-2"
\});

const message = await client.messages.create(\{
  model: "us.anthropic.claude-sonnet-4-5-20250929-v1:0",
  max_tokens: 1024,
  messages: [\{ role: "user", content: "Hello!" \}]
\});
console.log(message);
```

```csharp
using Anthropic.Bedrock;
using Anthropic.Models.Messages;

var client = new AnthropicBedrockClient(
    new AnthropicBedrockApiTokenCredentials
    \{
        BearerToken = "your-bearer-token",
        Region = "us-west-2",
    \}
);

var response = await client.Messages.Create(new MessageCreateParams
\{
    Model = "us.anthropic.claude-sonnet-4-5-20250929-v1:0",
    MaxTokens = 1024,
    Messages = [new() \{ Role = Role.User, Content = "Hello!" \}],
\});
```

```go
import (
	"context"
	"fmt"

	"github.com/anthropics/anthropic-sdk-go"
	"github.com/anthropics/anthropic-sdk-go/bedrock"
	"github.com/aws/aws-sdk-go-v2/aws"
)
// ...
	cfg := aws.Config\{
		Region:                  "us-west-2",
		BearerAuthTokenProvider: bedrock.NewStaticBearerTokenProvider("your-bearer-token"),
	\}
	client := anthropic.NewClient(
		bedrock.WithConfig(cfg),
	)

	message, err := client.Messages.New(context.TODO(), anthropic.MessageNewParams\{
		Model:     "us.anthropic.claude-sonnet-4-5-20250929-v1:0",
		MaxTokens: 1024,
		Messages: []anthropic.MessageParam\{
			anthropic.NewUserMessage(anthropic.NewTextBlock("Hello!")),
		\},
	\})
	if err != nil \{
		panic(err)
	\}
	fmt.Println(message.Content[0].Text)
```

```java
import com.anthropic.bedrock.backends.BedrockBackend;
import com.anthropic.client.AnthropicClient;
import com.anthropic.client.okhttp.AnthropicOkHttpClient;
import com.anthropic.models.messages.MessageCreateParams;

// Option 1: Set AWS_BEARER_TOKEN_BEDROCK environment variable and use fromEnv()
AnthropicClient client = AnthropicOkHttpClient.builder()
  .backend(BedrockBackend.fromEnv())
  .build();

// Option 2: Provide the token programmatically
client = AnthropicOkHttpClient.builder()
  .backend(BedrockBackend.builder()
    .apiKey("your-bearer-token")
    .build())
  .build();

MessageCreateParams params = MessageCreateParams.builder()
  .model("us.anthropic.claude-sonnet-4-5-20250929-v1:0")
  .maxTokens(1024)
  .addUserMessage("Hello!")
  .build();

client.messages().create(params).content().stream()
  .flatMap(block -> block.text().stream())
  .forEach(textBlock -> System.out.println(textBlock.text()));
```

```php
<?php

use Anthropic\Bedrock;

$client = Bedrock\Client::withApiKey('your-bearer-token', 'us-west-2');

$message = $client->messages->create(
    maxTokens: 1024,
    messages: [
        ['role' => 'user', 'content' => 'Hello!']
    ],
    model: 'us.anthropic.claude-sonnet-4-5-20250929-v1:0',
);
echo $message->content[0]->text;
```

```ruby
require "anthropic"

client = Anthropic::BedrockClient.new(
  api_key: "your-bearer-token",
  aws_region: "us-west-2"
)

message = client.messages.create(
  model: "us.anthropic.claude-sonnet-4-5-20250929-v1:0",
  max_tokens: 1024,
  messages: [\{role: "user", content: "Hello!"\}]
)
puts message.content.first.text
```

Activity logging

Bedrock provides an invocation logging service that allows you to log the prompts and completions associated with your usage.

Anthropic recommends that you log your activity on at least a 30-day rolling basis to understand your activity and investigate any potential misuse.

Turning on this service does not give AWS or Anthropic any access to your content.

Feature support

For the full feature list with Amazon Bedrock availability, see Features overview.

Supported feature highlights

Messages API
Prompt caching
Thinking
Tool use, including the Bash tool, Computer use tool, Memory tool, and Text editor tool
Citations
Structured outputs

Features not supported

Input sources (URL sources for images and documents, Files API)
Server-side tools (code execution, web search, web fetch, advisor)
Agent infrastructure (Agent Skills, MCP connector, programmatic tool calling)
API endpoints (Message Batches, Models, Admin, Compliance, Usage and Cost)
Claude Managed Agents
Server-side fallback (the fallbacks parameter; use the client-side fallback pattern instead)
Automatic prompt caching (the top-level cache_control field; use explicit cache breakpoints instead)
Computer use and browser use toolsets (computer_toolset_20260801 and browser_toolset_20260801 are not currently available on Amazon Bedrock; the beta computer use tool versions remain available)

PDF support on Bedrock

PDF support is available on Bedrock through both the Converse API and InvokeModel API. For detailed information about PDF processing capabilities and limitations, see Amazon Bedrock PDF support.

Important considerations for Converse API users:

Visual PDF analysis (charts, images, layouts) requires citations to be enabled
Without citations, only basic text extraction is available
For full control without forced citations, use the InvokeModel API

Mid-conversation system messages on Bedrock

Mid-conversation system messages are available through the InvokeModel API for Claude Fable 5.1, Claude Fable 5, Claude Opus 5, and Claude Opus 4.8. As described in the note under API model IDs, these requests are served by the same infrastructure as the Claude in Amazon Bedrock endpoint. No beta header is required. This feature is not available on Claude Sonnet 5. Use the top-level system field instead. It is not available for the ARN-versioned models in the model table on this page.

For Converse API users: the Converse API accepts system instructions through its top-level system parameter. To add system instructions mid-conversation, use the InvokeModel API.

Context window

Claude Fable 5.1, Claude Fable 5, Claude Opus 5, Claude Opus 4.8, Claude Opus 4.7, Claude Opus 4.6, Claude Sonnet 5, and Claude Sonnet 4.6 have a 1M-token context window on Amazon Bedrock. Other Claude models, including Sonnet 4.5 and Sonnet 4 (deprecated), have a 200k-token context window.

Bedrock limits request payloads to 20 MB. When sending large documents or many images, you may reach this limit before the token limit.

Global versus regional endpoints

Starting with Claude Sonnet 4.5 and all future models, Bedrock offers two endpoint types:

Global endpoints: Dynamic routing for maximum availability
Regional endpoints: Guaranteed data routing through specific geographic regions

Regional endpoints include a 10% pricing premium over global endpoints.

This applies to Claude Sonnet 4.5 and future models only. Older models (Claude Sonnet 4 (deprecated) and earlier) maintain their existing pricing structures.

When to use each option

Global endpoints (recommended):

Provide maximum availability and uptime
Dynamically route requests to regions with available capacity
No pricing premium
Best for applications where data residency is flexible

Regional endpoints (CRIS):

Route traffic through specific geographic regions
Required for data residency and compliance requirements
Available for US, EU, Japan, and Asia-Pacific
10% pricing premium reflects infrastructure costs for dedicated regional capacity

Implementation

Using global endpoints (default for Opus 4.6, Sonnet 4.6, and Sonnet 4.5):

The model IDs for Claude Opus 4.6, Sonnet 4.6, and Sonnet 4.5 already include the global. prefix:

  Calling the `InvokeModel` API with AWS credentials requires SigV4 request signing, which the SDKs in the other tabs handle automatically. For a Bedrock endpoint you can call with a self-contained cURL command, see [Claude in Amazon Bedrock](https://platform.claude.com/docs/en/build-with-claude/claude-in-amazon-bedrock#making-your-first-request).

  The `ant` CLI does not support Amazon Bedrock. Use one of the SDK examples instead.

```python
from anthropic import AnthropicBedrock

client = AnthropicBedrock(aws_region="us-west-2")

message = client.messages.create(
    model="global.anthropic.claude-opus-4-6-v1",
    max_tokens=256,
    messages=[\{"role": "user", "content": "Hello, world"\}],
)
```

```typescript
import AnthropicBedrock from "@anthropic-ai/bedrock-sdk";

const client = new AnthropicBedrock(\{
  awsRegion: "us-west-2"
\});

const message = await client.messages.create(\{
  model: "global.anthropic.claude-opus-4-6-v1",
  max_tokens: 256,
  messages: [\{ role: "user", content: "Hello, world" \}]
\});
```

```csharp
using Anthropic.Bedrock;
using Anthropic.Models.Messages;

// C# Bedrock client uses model IDs with region prefix for global routing
AnthropicBedrockClient client = new(
    await AnthropicBedrockCredentialsHelper.FromEnv()
    ?? throw new InvalidOperationException("AWS credentials not configured.")
);

var response = await client.Messages.Create(new MessageCreateParams
\{
    // Use "global." prefix for global cross-region inference
    Model = "global.anthropic.claude-opus-4-6-v1",
    MaxTokens = 256,
    Messages = [new() \{ Role = Role.User, Content = "Hello, world" \}],
\});
```

```go
import (
	"context"

	"github.com/anthropics/anthropic-sdk-go"
	"github.com/anthropics/anthropic-sdk-go/bedrock"
)
// ...
	// Uses default AWS credential provider chain
	client := anthropic.NewClient(
		bedrock.WithLoadDefaultConfig(context.Background()),
	)

	message, _ := client.Messages.New(context.Background(), anthropic.MessageNewParams\{
		Model:     "global.anthropic.claude-opus-4-6-v1",
		MaxTokens: 256,
		Messages: []anthropic.MessageParam\{
			anthropic.NewUserMessage(anthropic.NewTextBlock("Hello, world")),
		\},
	\})
```

```java
import com.anthropic.bedrock.backends.BedrockBackend;
import com.anthropic.client.AnthropicClient;
import com.anthropic.client.okhttp.AnthropicOkHttpClient;
import com.anthropic.models.messages.MessageCreateParams;

// Uses default AWS credential provider chain
AnthropicClient client = AnthropicOkHttpClient.builder()
  .backend(BedrockBackend.fromEnv())
  .build();

var message = client
  .messages()
  .create(
    MessageCreateParams.builder()
      .model("global.anthropic.claude-opus-4-6-v1")
      .maxTokens(256)
      .addUserMessage("Hello, world")
      .build()
  );
```

```php
<?php

use Anthropic\Bedrock;

$client = Bedrock\Client::fromEnvironment();

$message = $client->messages->create(
    maxTokens: 256,
    messages: [
        ['role' => 'user', 'content' => 'Hello, world']
    ],
    model: 'global.anthropic.claude-opus-4-6-v1',
);
```

```ruby
require "anthropic"

# Default credentials resolve region from AWS_REGION env var
client = Anthropic::BedrockClient.new

message = client.messages.create(
  # Use "global." prefix for global cross-region inference
  model: "global.anthropic.claude-opus-4-6-v1",
  max_tokens: 256,
  messages: [{role: "user", content: "Hello, world"}]
)
```

Using regional endpoints (CRIS):

To use regional endpoints, replace the global. prefix with a regional prefix such as us.:

  Calling the `InvokeModel` API with AWS credentials requires SigV4 request signing, which the SDKs in the other tabs handle automatically. For a Bedrock endpoint you can call with a self-contained cURL command, see [Claude in Amazon Bedrock](https://platform.claude.com/docs/en/build-with-claude/claude-in-amazon-bedrock#making-your-first-request).

  The `ant` CLI does not support Amazon Bedrock. Use one of the SDK examples instead.

```python
from anthropic import AnthropicBedrock

client = AnthropicBedrock(aws_region="us-west-2")

# Using US regional endpoint (CRIS)
message = client.messages.create(
    model="us.anthropic.claude-opus-4-6-v1",  # Regional prefix
    max_tokens=256,
    messages=[{"role": "user", "content": "Hello, world"}],
)
```

```typescript
import AnthropicBedrock from "@anthropic-ai/bedrock-sdk";

const client = new AnthropicBedrock({
  awsRegion: "us-west-2"
});

// Using US regional endpoint (CRIS)
const message = await client.messages.create({
  model: "us.anthropic.claude-opus-4-6-v1", // Regional prefix
  max_tokens: 256,
  messages: [{ role: "user", content: "Hello, world" }]
});
```

```csharp
using Anthropic.Bedrock;
using Anthropic.Models.Messages;

AnthropicBedrockClient client = new(
    new AnthropicBedrockPrivateKeyCredentials { Region = "us-west-2" }
);

// Using US regional endpoint (CRIS)
var response = await client.Messages.Create(new MessageCreateParams
{
    Model = "us.anthropic.claude-opus-4-6-v1", // Regional prefix
    MaxTokens = 256,
    Messages = [new() { Role = Role.User, Content = "Hello, world" }],
});
```

```go
import (
	"context"

	"github.com/anthropics/anthropic-sdk-go"
	"github.com/anthropics/anthropic-sdk-go/bedrock"
)
// ...
	// Uses default AWS credential provider chain
	client := anthropic.NewClient(
		bedrock.WithLoadDefaultConfig(context.Background()),
	)

	// Using US regional endpoint (CRIS)
	message, _ := client.Messages.New(context.Background(), anthropic.MessageNewParams{
		Model:     "us.anthropic.claude-opus-4-6-v1", // Regional prefix
		MaxTokens: 256,
		Messages: []anthropic.MessageParam{
			anthropic.NewUserMessage(anthropic.NewTextBlock("Hello, world")),
		},
	})
```

```java
import com.anthropic.bedrock.backends.BedrockBackend;
import com.anthropic.client.AnthropicClient;
import com.anthropic.client.okhttp.AnthropicOkHttpClient;
import com.anthropic.models.messages.MessageCreateParams;

// Uses default AWS credential provider chain
AnthropicClient client = AnthropicOkHttpClient.builder()
  .backend(BedrockBackend.fromEnv())
  .build();

// Using US regional endpoint (CRIS)
var message = client
  .messages()
  .create(
    MessageCreateParams.builder()
      .model("us.anthropic.claude-opus-4-6-v1") // Regional prefix
      .maxTokens(256)
      .addUserMessage("Hello, world")
      .build()
  );
```

```php
<?php

use Anthropic\Bedrock;

$client = Bedrock\Client::fromEnvironment();

$message = $client->messages->create(
    maxTokens: 256,
    messages: [
        ['role' => 'user', 'content' => 'Hello, world']
    ],
    model: 'us.anthropic.claude-opus-4-6-v1',
);
```

```ruby
require "anthropic"

# Using US regional endpoint (CRIS)
client = Anthropic::BedrockClient.new(aws_region: "us-west-2")

message = client.messages.create(
  model: "us.anthropic.claude-opus-4-6-v1", # Regional prefix
  max_tokens: 256,
  messages: [\{role: "user", content: "Hello, world"\}]
)
```

Claude Mythos Preview is a research preview model available to invited customers on Amazon Bedrock. For more information, see Project Glasswing.

Additional resources

Bedrock pricing: Amazon Bedrock pricing page
AWS pricing documentation: Bedrock pricing guide
AWS blog post: Introducing Claude Sonnet 4.5 in Amazon Bedrock
Anthropic pricing details: Cloud platform pricing

messages

batches

organization

federation

sessions

events

threads

vaults

activities

batches

Anthropic 平台文档（英文全量） ​

Install and configure the AWS CLI ​

Install an SDK for accessing Bedrock ​

Accessing Bedrock ​

Subscribe to Anthropic models ​

API model IDs ​

List available models ​

Making requests ​

Bearer token authentication ​

Activity logging ​

Feature support ​

Supported feature highlights ​

Features not supported ​

PDF support on Bedrock ​

Mid-conversation system messages on Bedrock ​

Context window ​

Global versus regional endpoints ​

When to use each option ​

Implementation ​

Additional resources ​