Bucle de retroalimentación de múltiples agentes

• •Clave de API de OpenAI

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        "content": "# ⚙️ Setup Guide\n## This is a workflow for user's customization.\n### 🧑‍💻 Author: [Sebastian/OptiLever](www.linkedin.com/in/sebastian-9ab9b9242)\n\n### 🚀 Prerequisite:\n\n**1. Connect to Openai API account.**\n\n\n---\n\n### 🚀 Steps to Connect:\n\n\n1. **Edit Fields Node Setup (Initial)**\n- Locate the **\"Edit Fields\"** node at the beginning of the workflow.\n- **Edit the following fields:**\n- Ensure the input field **\"ideas\"** is set as an array.\n- Add a field **\"turn\"** to track the number of loop iterations (default value: 1).\n- Add a field **\"done\"** to track if the evaluation is complete (default value: false).\n\n\n\n2. **Critic Agent Setup**\n- Configure the **\"Critic Agent\"** node to analyze the input and provide feedback.\n- Ensure the output is structured to include suggestions for improvements.\n\n\n\n3. **Refiner Agent Setup**\n- Configure the **\"Refiner Agent\"** node to use the original input and critic feedback.\n- Ensure the output is an improved version of the input (e.g., three improved names and taglines).\n\n\n\n4. **Evaluation Agent Setup**\n- Configure the **\"Evaluation Agent\"** node to rank the refined outputs.\n- Ensure the output includes a **\"done\"** field indicating if the result is satisfactory.\n\n\n\n5. **Edit Fields Node Setup (Final)**\n- Ensure the final **\"Edit Fields\"** node matches the structure of the initial input.\n- This ensures the loop can process the data correctly in each iteration.\n\n\n\n6. **If Node Setup**\n- Configure the **\"If\"** node to check if **\"turn\"** exceeds a threshold (e.g., 5) or if **\"done\"** is true.\n- If true, exit the loop and proceed to the next step in the workflow.\n\n\n\n7. **Optional: Additional AI Agents**\n- Add additional AI agents after the loop to further process the final output.\n\n\n---\n\n\n"
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