Agent de gestion pour débutants avec des outils de sous-agents

• •Clé API OpenAI

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          "systemMessage": "You are an AI Manager that delegates tasks to specialized agents. Your job is to analyze the user's message and decide whether it requires:\n\nAn EmailAgent for writing outreach, follow-up, or templated emails, or\n\nA DataAgent for tasks involving data summaries, metrics, or analysis.\n\nsend the instructions to the sub agents. \n\n"
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          "systemMessage": "You are a professional Email Writing Assistant. You write polished, effective emails for tasks such as outreach, follow-ups, and client communication. Follow the instruction provided exactly and return only the email content. Use a warm, business-appropriate tone."
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        "content": "## 📬 Need Help or Want to Customize This?\n📧 [robert@ynteractive.com](mailto:robert@ynteractive.com)  \n🔗 [LinkedIn](https://www.linkedin.com/in/robert-breen-29429625/)"
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        "content": "## 🔧 Step 1: Set Up the Manager Agent\n\nStart by dragging in an **Agent** node and name it something like `ManagerAgent`. This agent will act as the “brain” of your system, analyzing the user's input and determining whether it should be handled by the email-writing sub-agent or the data-summary sub-agent.\n\nOpen the node’s settings and paste the following into the **System Message**:\n\nYou are an AI Manager that delegates tasks to specialized agents. Your job is to analyze the user's message and decide whether it requires:\n\nAn EmailAgent for writing outreach, follow-up, or templated emails, or\n\nA DataAgent for tasks involving data summaries, metrics, or analysis.\n\nSend the instructions to the sub agents.\n\n\nThis instruction gives the Manager Agent clarity on what roles exist and what types of tasks belong to each one.\n\n"
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        "content": "## 📊 Step 3: Create the Data Agent Tool\n\nRepeat the same steps, but this time for data summaries and analysis.\n\nAdd another **Agent Tool** node and name it `DataAgent`. In the **Tool Description**, write something like:\n\nResponds to instructions requiring metrics, summaries, or data analysis explanations.\n\nFor its input text field, you can use:\n\n{{json.query}}\n\nIf desired, provide a system message that gives the agent more detailed instruction on how to behave:\n\nNow the Manager Agent has two tools it can delegate to: one for communication and one for insights.\n\n"
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        "content": "\n## ✉️ Step 4: Create the Email Agent Tool\n\nNow you’ll create a specialized sub-agent that only writes emails.\n\nAdd an **Agent Tool** node and call it `EmailAgent`. In the tool’s settings, describe its job clearly. For example:\n\n```\nWrites professional, friendly, or action-oriented emails based on instructions.\n```\n\nThen scroll down to the **System Message** section and enter the message\n\nFor the text input field, use the expression:\n\n{{ $fromAI('Prompt__User_Message_', ``, 'string') }}\n\nThis allows the Email Agent to receive exactly what the Manager Agent wants it to handle.\n\n\nFinally, connect this entire EmailAgent setup back to the `ManagerAgent` by attaching it to its `ai_tool` input.\n\n"
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