Claude models for ADK agents

Supported in ADKJava v0.2.0

You can integrate Anthropic's Claude models directly using an Anthropic API key or from a Vertex AI backend into your Java ADK applications by using the ADK's Claude wrapper class. You can also access Anthropic models through Google Cloud Vertex AI services. For more information, see the Third-Party Models on Vertex AI section. You can also use Anthropic models through the LiteLLM library for Python.

Get started

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

public static LlmAgent createAgent() {

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

  Claude claudeModel = new Claude(
      "claude-3-7-sonnet-latest", anthropicClient
  );

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

Prerequisites

1. Dependencies:

   • Anthropic SDK Classes (Transitive): The Java ADK's com.google.adk.models.Claude wrapper relies on classes from Anthropic's official Java SDK. These are typically included as transitive dependencies. For more information, see the Anthropic Java SDK.

2. Anthropic API Key:

   • Obtain an API key from Anthropic. Securely manage this key 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:

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-3-7-sonnet-latest"; // 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());
    }
  }
}