N8N Tools - Enhanced AI Agent icon

N8N Tools - Enhanced AI Agent

Enhanced AI agent with structured prompts and intelligent tool management
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Overview

The N8N Tools - Enhanced AI Agent node provides a powerful interface to create customizable AI agents using structured prompts and intelligent tool management. It supports multiple AI model providers (OpenAI and Anthropic Claude) and allows users to define the agent's role, objectives, instructions, constraints, and output format in detail.

This node is beneficial for scenarios such as:

  • Building conversational chatbots tailored to specific domains.
  • Automating task-solving agents for specialized workflows.
  • Performing data analysis with AI-driven insights.
  • Generating creative content like marketing copy or storytelling.

For example, a marketing team could use this node to create an AI agent specialized in social media analytics that analyzes engagement metrics and suggests optimization strategies, returning results in a structured JSON format.

Properties

Name Meaning
Model Provider Choose your AI model provider: OpenAI or Anthropic (Claude).
Model Select the specific AI model based on the chosen provider:
OpenAI: GPT-4o, GPT-4o Mini, GPT-4 Turbo, GPT-3.5 Turbo
Anthropic: Claude 3.5 Sonnet, Claude 3.5 Haiku, Claude 3 Opus
Agent Type Type of AI agent to create:
- Conversational Agent (ideal for chatbots)
- Task Solver (specialized in solving tasks)
- Data Analyst (focused on data insights)
- Creative Writer (for creative content generation)
Role and Expertise Define the agent's role and specialized knowledge (required). Example: "a marketing expert specialized in social media analytics".
Objective Clear statement of what the agent should accomplish (required). Example: "analyze social media engagement metrics and provide optimization recommendations".
Instructions Detailed step-by-step instructions for the agent. Multiple instructions can be added to guide the agent’s behavior precisely.
Output Format Expected response format defined as a JSON schema. This helps validate the agent's output structure.
Constraints Limitations and restrictions for the agent to follow during execution. Multiple constraints can be specified.
Examples Reference input-output examples to guide the agent’s responses. Only one set of examples can be provided.
Advanced Options Various fine-tuning parameters:
- Max Tokens: max tokens to generate
- Temperature: randomness control (0 deterministic, 1 creative)
- Top P: diversity control
- Frequency Penalty: reduce token repetition
- Presence Penalty: encourage new topics
- Enable Cost Estimation: show cost metrics and safety limits
- Max Credits per Request: safety limit on credits spent
- Prefer Cost Efficiency: suggest cost-effective models and parameters
Tool Management Settings for managing external tools:
- Enable Tool Validation: validate tools before use
- Max Tool Retries: retries for failed tools
- Enable Tool Caching: cache tool results to reduce API calls
Report Issue Provides links and instructions to report bugs or get help with the node.

Output

The node outputs a JSON array where each item contains:

  • The AI agent's response under json field, structured according to the user-defined output format.
  • Metadata about the execution including:
    • Credits used (actual and estimated).
    • Token usage (input, output, total).
    • Cost in USD and profit margin.
    • Model and provider details.
    • Execution time in milliseconds.
  • If cost estimation is enabled, detailed cost metrics are included.
  • In case of errors, the output includes error messages instead of normal results.

The node does not output binary data.

Dependencies

  • Requires an API key credential for accessing the N8N Tools AI service.
  • Uses the native N8N Tools AI API endpoint /agents/enhanced.
  • No other external dependencies are required.
  • Proper configuration of credentials and network access to the AI service is necessary.

Troubleshooting

Common Issues

  • Quota Exceeded: When the user exceeds their allowed credit quota, the node throws an error indicating quota limits and suggestions.
  • Insufficient Credits: If the user’s balance is too low to perform the requested operation, an error shows the cost estimate and current balance.
  • Service Unavailable: Temporary unavailability of the AI service results in a retryable error message.
  • Output Format Mismatch: If the AI response does not match the expected JSON schema, the node throws a validation error.
  • Connection Errors: Network or API connection issues result in descriptive error messages.

Error Messages and Resolutions

Error Message Cause Resolution
"Quota de uso excedida." User exceeded credit quota Wait for quota reset or increase quota; optimize usage to reduce credit consumption.
"Créditos insuficientes." Insufficient credits for the request Add more credits or reduce request complexity/parameters to lower cost.
"Serviço de IA temporariamente indisponível." AI service temporarily down Retry after some time; check service status.
"Agent output does not match expected format" Output JSON schema validation failed Adjust output format schema or review agent instructions/examples to ensure compliance.
"Erro da API: ..." API returned an error Check API key validity, request parameters, and network connectivity.
"Erro de conexão: ..." Network or connection failure Verify internet connection and API endpoint accessibility.

Links and References

This summary is based solely on static analysis of the provided source code and property definitions without runtime execution.

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