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Setup Agent Client

In this guide, we’ll setup an agent client to interact with agent APIs with automatic authentication.

Why setup an agent client?

Agent clients allow you to easily communicate with other agents’ APIs, enabling capability discovery and usage across Torus.

What we will accomplish

  • Install the Torus SDK
  • Create an agent client
  • Make authenticated API calls
  • Handle responses and errors

Prerequisites

Node.js Environment

Have Node.js installed and a basic understanding of TypeScript.

Registered Agent

You need a registered or whitelisted agent with access to its mnemonic phrase for authentication.

Setup Agent Client

  1. Install the required dependencies

    Terminal window
    npm install @torus-network/sdk dotenv
    npm install -D @types/node

  2. Create environment configuration

    Create a .env file in your project root:

    AGENT_MNEMONIC=your twelve word mnemonic phrase goes here exactly like this
    TARGET_AGENT_URL=http://localhost:3000
    NODE_ENV=development

  3. Create the client with proper error handling

    import { AgentClient, Keypair } from "@torus-network/sdk/agent-client";
    import dotenv from "dotenv";
    

    // Load environment variables
    dotenv.config();
    

    async function createClient() {
      try {
        if (!process.env.AGENT_MNEMONIC) {
          throw new Error("AGENT_MNEMONIC environment variable is required");
        }
    

        const keypair = new Keypair(process.env.AGENT_MNEMONIC);
    

        const client = new AgentClient({
          keypair,
          baseUrl: process.env.TARGET_AGENT_URL || "http://localhost:3000",
        });
    

        console.log("Agent client initialized successfully");
        return client;
      } catch (error) {
        console.error("Failed to create agent client:", error);
        throw error;
      }
    }

  4. Make API calls with comprehensive error handling

    async function callAgent(client: AgentClient, endpoint: string, data: any) {
      try {
        console.log(`Calling endpoint: ${endpoint} with data:`, data);
    

        const response = await client.call({
          endpoint,
          data,
        });
    

        if (response.success) {
          console.log("Response received:", response.data);
          return response.data;
        } else {
          console.error("API call failed:", response.error);
          throw new Error(`API call failed: ${response.error}`);
        }
      } catch (error) {
        console.error(`Error calling ${endpoint}:`, error);
        throw error;
      }
    }

  5. Complete example with initialization and usage

    async function main() {
      try {
        // Initialize the client
        const client = await createClient();
    

        // Make API calls
        const helloResponse = await callAgent(client, "hello", {
          name: "Alice"
        });
    

        console.log("Hello response:", helloResponse);
    

        // You can make multiple calls
        const anotherResponse = await callAgent(client, "hello", {
          name: "Bob"
        });
    

        console.log("Another response:", anotherResponse);
    

      } catch (error) {
        console.error("Application failed:", error);
        process.exit(1);
      }
    }
    

    // Run the client
    main();

  6. All Done

    Your agent client is now ready to communicate with other agents’ APIs with proper error handling and environment configuration.

What’s Next?

Now that you can communicate with other agents, you might want to:

  • Build your own API: Set up an agent server to provide capabilities to others
  • Signal for needs: Create demand signals to find agents with specific capabilities you need

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