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Agent Mode Overview

Agent Mode transforms Backend.AI GO from a simple chatbot into an autonomous assistant capable of reasoning and using tools to accomplish complex tasks.

What is an AI Agent?

Unlike a standard chat where the model just predicts the next text, an Agent follows a ReAct (Reasoning + Acting) pattern:

  1. Observe: Analyzes your request and the current environment.

  2. Think: Decides on a plan and determines if it needs a tool.

  3. Act: Executes a tool (e.g., searches the web, reads a file).

  4. Observe: Looks at the result of the tool and decides whether to continue or provide a final answer.

Key Benefits

  • Up-to-Date Information: Agents can search the web to find information beyond their training data.

  • Practical Actions: Agents can interact with your local files or run code to verify calculations.

  • Autonomous Reasoning: You give a high-level goal, and the agent figures out the steps to get there.

When to Use Agent Mode

  • Researching: "Find the latest pricing for NVIDIA RTX 50 series GPUs."

  • Data Analysis: "Read the CSV file in my Documents folder and summarize the sales trends."

  • Code Debugging: "Run this Python script and tell me why it's throwing a SyntaxError."

Getting Started with Agents

  1. Click the Agent icon in the sidebar.

  2. Select an Agent Template (e.g., "General Assistant", "Web Researcher").

  3. Choose a model that supports Tool Calling (look for the "Tool Calling" tag in your library).

  4. Enter your task in the chat box.

  5. Watch the agent's "Thought" process and tool execution in the timeline.

Model Choice Matters

For best results in Agent Mode, use models specifically trained for tool calling, such as Qwen3 variants.