Anthropic AI agent: Claude Sonnet 4 and Opus 4 with Think and Web Search tool

This workflow dynamically chooses between two new powerful Anthropic models — Claude Opus 4 and Claude Sonnet 4 — to handle user queries, based on their complexity and nature, maintaining scalability and context awareness with Anthropic web search function and Think tool.

Key Advantages

1. 🔁 Dynamic Model Selection

   • Automatically routes each user query to either Claude Sonnet 4 (for routine tasks) or Claude Opus 4 (for complex reasoning), ensuring optimal performance and cost-efficiency.

2. 🧠 AI Agent with Tool Use

   • The AI agent can utilize a web search tool to retrieve up-to-date information and a Think tool for complex reasoning processes — improving response quality.

3. 📎 Memory Integration

   • Uses session-based memory to maintain conversational context, making interactions more coherent and human-like.

4. 🧮 Built-in Calculation Tool

   • Handles numeric queries using an integrated calculator tool, reducing the need for external processing.

5. 📤 Structured Output Parser

   • Ensures outputs are always well-structured and formatted in JSON, which improves consistency and downstream integrations.

6. 🌐 Web Search Capability

   • Supports real-time information retrieval for current events, statistics, or details not available in the AI’s base knowledge.

Components Overview

• Trigger: Listens for new chat messages.

• Routing Agent: Analyzes the message and returns the best model to use.

• AI Agent: Handles the conversation, decides when to use tools.

• Tools:

  • web_search for internet queries
  • Think for reasoning
  • Calculator for math tasks

• Models Used:

  • claude-sonnet-4-20250514: Optimized for general and business logic tasks.
  • claude-opus-4-20250514: Best for deep, strategic, and analytical queries.

How It Works

1. Dynamic Model Selection

   • The workflow begins when a chat message is received. The Anthropic Routing Agent analyzes the user's query to determine the most suitable model (either Claude Sonnet 4 or Claude Opus 4) based on the query's complexity and requirements.
   • The routing agent uses predefined criteria to decide:
     • Claude Sonnet 4: Best for standard tasks like real-time workflow routing, data validation, and routine business logic.
     • Claude Opus 4: Reserved for complex scenarios requiring deep reasoning, advanced analysis, or high-impact decisions.

2. Query Processing and Response Generation

   • The selected model processes the query, leveraging tools like web_search for real-time information retrieval, Think for internal reasoning, and Calculator for numerical tasks.
   • The AI Agent coordinates these tools, ensuring the response is accurate and context-aware. A Simple Memory node retains session context for coherent multi-turn conversations.
   • The final response is formatted and returned to the user without intermediate steps or metadata.

Set Up Steps

1. Node Configuration

   • Trigger: Configure the "When chat message received" node to handle incoming user queries.
   • Routing Agent: Set up the "Anthropic Routing Agent" with the system message defining model selection logic. Ensure it outputs a JSON object with prompt and model fields.
   • AI Model Nodes: Link the "Sonnet 4 or Opus 4" node to dynamically use the selected model. The "Sonnet 3.7" node powers the routing agent itself.

2. Tool Integration

   • Attach the "web_search" HTTP tool to enable internet searches, ensuring the API endpoint and headers (e.g., anthropic-version) are correctly configured.
   • Connect auxiliary tools (Think, Calculator) to the "AI Agent" for extended functionality.
   • Add the "Simple Memory" node to maintain conversation history.

3. Credentials

   • Provide an Anthropic API key to all nodes requiring authentication (e.g., model nodes, web search).

4. Testing

   • Activate the workflow and test with sample queries to verify:
     • Correct model selection (e.g., Sonnet for simple queries, Opus for complex ones).
     • Proper tool usage (e.g., web searches trigger when needed).
     • Memory retention across chat turns.

5. Deployment

   • Once validated, set the workflow to active for live interactions.

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