# Claude models for ADK agents

<div class="language-support-tag">
   <span class="lst-supported">Supported in ADK</span><span class="lst-python">Python v0.1.0</span><span class="lst-java">Java v0.2.0</span>
</div>

You can use Anthropic's Claude models with ADK in both Python and Java. Choose
the path that matches your language and backend below.

## Python

You can use Claude models from Python in the following ways:

- **Native, on Agent Platform:** Pass a Claude model string directly; ADK's
  registry routes it to the `Claude` wrapper. See [Anthropic Claude on Agent
  Platform](/agents/models/agent-platform/#anthropic-claude).
- **Direct Anthropic API, via LiteLLM:** Use the `LiteLlm` connector with an
  Anthropic API key. See
  [LiteLLM](/agents/models/litellm/#anthropic-thinking-blocks).

## Java

In Java, you can integrate Claude models directly using an Anthropic API key or
an Agent Platform backend with the ADK `Claude` wrapper class. You can also
access Claude through Google Cloud Agent Platform services; see [Third-Party
Models on Agent Platform](/agents/models/agent-platform/#anthropic-claude).

### Get started

The following code examples show a basic implementation for using Claude models
in your agents:

```java
public static LlmAgent createAgent() {

  AnthropicClient anthropicClient = AnthropicOkHttpClient.builder()
      .apiKey("ANTHROPIC_API_KEY")
      .build();

  Claude claudeModel = new Claude(
      "claude-sonnet-4-6", anthropicClient
  );

  return LlmAgent.builder()
      .name("claude_direct_agent")
      .model(claudeModel)
      .instruction("You are a helpful AI assistant powered by Anthropic Claude.")
      .build();
}
```

### Prerequisites

- **Dependencies:** The Java ADK's `com.google.adk.models.Claude` wrapper relies
  on classes from Anthropic's official Java SDK, typically included as
  *transitive dependencies*. For more information, see the [Anthropic Java
  SDK](https://github.com/anthropics/anthropic-sdk-java).
- **Anthropic API key:** Obtain an API key from Anthropic, and securely manage
  it using a secret manager.

### Example implementation

Instantiate `com.google.adk.models.Claude`, providing the desired Claude model
name and an `AnthropicOkHttpClient` configured with your API key. Then, pass the
`Claude` instance to your `LlmAgent`, as shown in the following example:

```java
import com.anthropic.client.AnthropicClient;
import com.google.adk.agents.LlmAgent;
import com.google.adk.models.Claude;
import com.anthropic.client.okhttp.AnthropicOkHttpClient; // From Anthropic's SDK

public class DirectAnthropicAgent {

  private static final String CLAUDE_MODEL_ID = "claude-sonnet-4-6"; // Or your preferred Claude model

  public static LlmAgent createAgent() {

    // It's recommended to load sensitive keys from a secure config
    AnthropicClient anthropicClient = AnthropicOkHttpClient.builder()
        .apiKey("ANTHROPIC_API_KEY")
        .build();

    Claude claudeModel = new Claude(
        CLAUDE_MODEL_ID,
        anthropicClient
    );

    return LlmAgent.builder()
        .name("claude_direct_agent")
        .model(claudeModel)
        .instruction("You are a helpful AI assistant powered by Anthropic Claude.")
        // ... other LlmAgent configurations
        .build();
  }

  public static void main(String[] args) {
    try {
      LlmAgent agent = createAgent();
      System.out.println("Successfully created direct Anthropic agent: " + agent.name());
    } catch (IllegalStateException e) {
      System.err.println("Error creating agent: " + e.getMessage());
    }
  }
}
```