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pipeline that autonomously **writes** and **reviews** educational content — section by section, with full consistency tracking.\n\n![Python](https://img.shields.io/badge/Python-3.13-blue?logo=python)\n![CrewAI](https://img.shields.io/badge/CrewAI-1.14.3-blueviolet)\n![LLM](https://img.shields.io/badge/LLM-GPT--4o--mini-green?logo=openai)\n![Architecture](https://img.shields.io/badge/Architecture-Multi--Agent%20Flow-orange)\n\n\n---\n\n## 🧠 What is LLMQuill?\n\n**LLMQuill** is a multi-agent LLM pipeline built on [CrewAI](https://crewai.com) that generates high-quality, structured educational content using a **write → review** agentic flow.\n\nTwo specialized AI agents collaborate on every section:\n\n| Agent | Role | Responsibility |\n|---|---|---|\n| ✍️ **Content Writer** | Educational Content Writer | Drafts 500–800 word Markdown sections with examples, structure, and summaries |\n| 🔍 **Content Reviewer** | Content Reviewer & Editor | Polishes drafts for grammar, clarity, accuracy, and cross-section consistency |\n\nEach section is aware of **previously written content**, ensuring the final output reads as a cohesive, well-structured guide.\n\n---\n\n## 🔄 Agent Flow\n\n```\nInput: section_title + section_description\n              │\n              ▼\n   ┌──────────────────────┐\n   │   write_section_task  │  ←  Content Writer Agent\n   │   (500–800 words,     │\n   │    Markdown format)   │\n   └──────────┬───────────┘\n              │  draft_content\n              ▼\n   ┌──────────────────────┐\n   │  review_section_task  │  ←  Content Reviewer Agent\n   │  (polish, fix, refine)│\n   │  context: write_task  │\n   └──────────┬───────────┘\n              │\n              ▼\n       ✅ Final Polished Section\n            (saved to output/)\n```\n\n---\n\n## 🤖 Agents\n\n### ✍️ Content Writer\n\n```yaml\nrole: Educational Content Writer\ngoal: >\n  Create engaging, informative content that thoroughly explains\n  the assigned topic and provides valuable insights to the 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Each section includes:\n- Brief topic introduction\n- Key concepts with examples\n- Practical applications or exercises\n- Summary of key points\n\n---\n\n### 🔍 Content Reviewer\n\n```yaml\nrole: Educational Content Reviewer and Editor\ngoal: >\n  Ensure content is accurate, comprehensive, well-structured,\n  and maintains consistency with previously written sections\nllm: openai/gpt-4o-mini\n```\n\nActs as a meticulous editor ensuring:\n- Grammar and spelling corrections\n- Improved clarity and readability\n- Factual accuracy and completeness\n- Consistency with prior sections\n- Better structure and flow\n\n---\n\n## 🚀 Getting Started\n\n### Prerequisites\n\n- Python `>=3.13`\n- [uv](https://docs.astral.sh/uv/) for dependency management\n\n### 1. Clone the Repository\n\n```bash\ngit clone https://github.com/your-username/LLMQuill.git\ncd LLMQuill\n```\n\n### 2. Install uv (if not already installed)\n\n```bash\npip install uv\n```\n\n### 3. Install Dependencies\n\n```bash\ncrewai install\n```\n\nOr directly with uv:\n\n```bash\nuv sync\n```\n\n### 4. Configure Environment Variables\n\nCreate a `.env` file in the root directory:\n\n```env\nOPENAI_API_KEY=your_openai_api_key_here\nMODEL=gpt-4o-mini\n```\n\n> ⚠️ Never commit your `.env` file. It is already listed in `.gitignore`.\n\n### 5. 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