대화 기반 AWS IAM 전략 생성기와 AI 어시스턴트(OpenAI)

• •대상 API의 인증 정보가 필요할 수 있음
• •OpenAI API Key

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        "content": "# Chat-Based AWS IAM Policy Generator with AI Agent\n> Chat-driven workflow that lets IT and DevOps teams generate custom AWS IAM policies via AI, automatically apply them to AWS, and send an email notification with policy details.\n## 👤 Who’s it for\nThis workflow is designed for:\n- **Cloud Engineers / DevOps** who need to quickly generate and apply **custom IAM policies** in AWS.  \n- **IT Support / Security teams** who want to create IAM policies through a **chat-based interface** without manually writing JSON.  \n- Teams that want **automatic notifications** (via email) once new policies are created.  \n\n## ⚙️ How it works / What it does\n1. **Trigger** → Workflow starts when a **chat message is received**.  \n2. **IAM Policy Creator Agent** → Uses OpenAI to:\n   - Interpret user requirements (e.g., service, actions, region).  \n   - Generate a valid **IAM policy JSON** following AWS best practices.  \n3. **IAM Policy HTTP Request** → Sends the generated policy to **AWS IAM CreatePolicy API**.  \n4. **Email Notification** → Once AWS responds with a `CreatePolicyResponse`, an email is sent with policy details (name, ARN, ID, timestamps, etc.) using n8n mapping.  \n\nResult: The user can **chat with the AI agent**, create a policy, and receive an **email confirmation** with full details.  \n\n## 🛠 How to set up\n1. **Chat Trigger Node**  \n   - Configure the `When chat message received` node to connect your preferred chat channel (Slack, MS Teams, Telegram, etc.).  \n\n2. **IAM Policy Creator Agent**  \n   - Add **OpenAI Chat Model** as the LLM.  \n   - Use a **system prompt** that enforces AWS IAM JSON best practices (least privilege, correct JSON structure).  \n   - Connect **Memory** (Simple Memory) and **Structured Output Parser** to ensure consistent JSON output.  \n\n3. **IAM Policy HTTP Request**  \n   - Set method: `POST`  \n   - URL: `https://iam.amazonaws.com/`  \n   - Add authentication using **AWS Signature v4** (Access Key + Secret Key).  \n   - Body:  \n     - `Action=CreatePolicy`  \n     - `PolicyName={{ $json.CreatePolicyResponse.CreatePolicyResult.Policy.PolicyName }}`  \n     - `PolicyDocument={{ $json.policyDocument }}`  \n     - `Version=2010-05-08`  \n\n4. **Email for tracking**  \n\n## 📋 Requirements\n- n8n instance (self-hosted or cloud).  \n- AWS IAM user/role with permission to `iam:CreatePolicy`.  \n- AWS Access Key + Secret Key (for SigV4 signing in HTTP request).  \n- OpenAI API key (for the Chat Model).  \n- Email server credentials (SMTP or provider integration).  \n\n## 🎨 How to customize the workflow\n- **Restrict services/actions** → Adjust the IAM Policy Creator Agent system prompt to limit what services/policies can be generated.  \n- **Notification channels** → Replace the email node with Slack, MS Teams, or PagerDuty to alert other teams.  \n- **Tagging policies** → Modify the HTTP request to include `Tags` when creating policies in AWS.  \n- **Human-readable timestamps** → Add a Function or Set node to convert `CreateDate` and `UpdateDate` from Unix epoch to ISO datetime before sending emails.  \n- **Approval step** → Insert a manual approval node before sending the policy to AWS for compliance workflows.  \n"
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        "content": "### 1. **Chat Trigger**\n**Description:**  \nThe workflow starts when a user sends a request in chat (e.g., Slack, Teams, Telegram). This acts as the entry point for capturing IAM policy requirements."
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    {
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        "content": "### 2. **AI Agent – Policy Generator**\n**Description:**  \nAn AI Agent (OpenAI model) interprets the chat request and generates a valid **AWS IAM policy JSON**. It enforces AWS best practices such as least privilege, correct actions, resource scoping, and optional conditions (e.g., region restrictions).  \n"
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    {
      "id": "82e99ccc-7635-4351-b14b-4814b23babbd",
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        "content": "### 3. **AWS IAM CreatePolicy Request**\n**Description:**  \nThe generated IAM policy JSON is submitted to AWS using the **CreatePolicy API**. The request is signed with **AWS SigV4 authentication** and creates a new managed policy in the specified AWS account. "
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        "content": "### 4. **Confirmation & Notification**\n**Description:**  \nOnce AWS confirms successful creation, the workflow maps the response fields (e.g., PolicyName, ARN, PolicyId, RequestId) and sends a notification to inform the team that the policy has been created successfully.  "
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