Agent Node

Overview

The Agent Node empowers your flow with decision-making capabilities by creating an AI agent that can use multiple tools to accomplish tasks. It combines a large language model with a set of tools, enabling complex reasoning and multi-step task completion based on the input and available tools.

Usage cost: 2 credits

Configuration

Settings

1. Model Selection

   • LLM Model*: Select the AI model for the agent (the selected model must support tools calling)

   • System Prompt: Initial instructions defining the agent's behavior and context

   • Agent Prompt*: The main instruction or task for the agent

   • Past Message History: Optional chat history for context

2. Tools Configuration

   • Tools*: Select one or more tools for the agent to use

   • Tools must be provided by previous nodes in the flow

Output Ports

• response (string): The agent's complete response after using tools and reasoning

Best Practices

1. Tool Selection

   • Only provide tools that are relevant to the task

   • Order tools from most to least commonly used

   • Ensure tools have clear, descriptive names

   • Limit the number of tools to prevent confusion

2. Prompt Engineering

   • Be specific about what tools should be used

   • Clearly define the expected outcome

3. Performance Optimization

   • Keep tool descriptions concise

   • Use appropriate model for complexity

   • Balance between instruction detail and flexibility

Common Issues

• Tool execution timeouts

• Incorrect tool selection by agent

• Incomplete or unclear tool responses

• Model context length limitations