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..

n8n-agent (n8n AI Agent Evaluation)

You can run this example with:

npx promptfoo@latest init --example n8n-agent

This example demonstrates how to evaluate n8n AI agents and workflows using the n8n provider.

Prerequisites

  1. A self-hosted n8n instance with a webhook-triggered workflow
  2. An AI agent workflow that accepts messages and returns responses

Setup

  1. Create an n8n workflow with a Webhook trigger node
  2. Add your AI agent logic (e.g., AI Agent node, OpenAI node)
  3. Configure the workflow to return the agent's response
  4. Update promptfooconfig.yaml with your webhook URL:
providers:
  - id: n8n:https://your-n8n-instance.com/webhook/your-agent-id

Environment Variables

export N8N_API_KEY=your-api-key  # If your webhook requires authentication

Running the Example

# Run the evaluation
npx promptfoo eval

# View results
npx promptfoo view

Configuration Options

  • url: Webhook URL (alternative to specifying in provider path)
  • method: HTTP method (default: POST); GET sends rendered body fields as query parameters
  • headers: Additional request headers
  • body: Custom request body template with Nunjucks support; prefer object form for JSON payloads
  • transformResponse: JavaScript expression to extract output
  • sessionHeader: Request header name for the session ID
  • sessionParser: JavaScript expression to extract a session ID
  • sessionField: Request body field for a supplied session ID

For multi-turn runs, pass sessionId in test variables or use a multi-turn strategy so sessions remain scoped to one conversation. Keep webhook credentials in environment-backed headers rather than embedding them in webhook URLs. The provider uses a fingerprinted display ID and skips response caching so tokenized URLs and session-bearing requests do not enter response-cache diagnostics or storage; URLs still remain in configuration and outbound requests.

Response Formats

The provider automatically handles common n8n response formats:

{ "output": "Response text" }
{ "response": "Agent response" }
{ "message": { "content": "Hello" } }
[{ "json": { "output": "Result" } }]

For custom formats, use transformResponse:

config:
  transformResponse: 'json.data.agentMessage'

For more information, see the n8n Provider documentation.