Pyragogy AI Village - Deep Orchestration (Architecture V2)
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Orchestrates AI agents for complex task processing and iterative refinement.
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About This Workflow
Overview
This workflow orchestrates a sequence of AI agents to process complex inputs, generate outputs, and refine them based on peer reviews or sensemaking analysis. It utilizes a webhook trigger to initiate the process and an OpenAI Meta-Orchestrator to determine the optimal agent sequence.
Key Features
- Dynamic agent sequencing based on AI meta-orchestration.
- Iterative redrafting loop for agent output refinement.
- Support for multiple AI agents including Summarizer, Synthesizer, Peer Reviewer, Sensemaking Agent, Prompt Engineer, Onboarding/Explainer, and Archivist.
- PostgreSQL database connection for potential context retrieval or verification.
- JSON output for structured agent responses and workflow control.
How To Use
- Import this workflow into your n8n instance.
- Configure Credentials: Set up 'Postgres Pyragogy DB' and 'OpenAI Pyragogy' credentials.
- Trigger: Send a POST request to the '/pyragogy/process' webhook endpoint with your input data in the request body.
- Observe: Monitor the workflow execution to see the agent sequence and iterative refinement process.
- Customize: Modify agent prompts and sequences as needed for specific tasks.
Apps Used
Workflow JSON
{
"id": "70526e08-929e-466d-aed7-be9891ee60f4",
"name": "Pyragogy AI Village - Deep Orchestration (Architecture V2)",
"nodes": 0,
"category": "AI Orchestration",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 70526e08-929e...
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