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+# 🎙️ Customer Support Voice Agent
+
+An OpenAI SDK powered customer support agent application that delivers voice-powered responses to questions about your knowledge base using OpenAI's GPT-4o and TTS capabilities. The system crawls through documentation websites with Firecrawl, processes the content into a searchable knowledge base with Qdrant, and provides both text and voice responses to user queries.
+
+## Features
+
+- Knowledge Base Creation
+
+  - Crawls documentation websites using Firecrawl
+  - Stores and indexes content using Qdrant vector database
+  - Generates embeddings for semantic search capabilities using FastEmbed
+- **AI Agent Team**
+  - **Documentation Processor**: Analyzes documentation content and generates clear, concise responses to user queries
+  - **TTS Agent**: Converts text responses into natural-sounding speech with appropriate pacing and emphasis
+  - **Voice Customization**: Supports multiple OpenAI TTS voices:
+    - alloy, ash, ballad, coral, echo, fable, onyx, nova, sage, shimmer, verse
+
+- **Interactive Interface**
+  - Clean Streamlit UI with sidebar configuration
+  - Real-time documentation search and response generation
+  - Built-in audio player with download capability
+  - Progress indicators for system initialization and query processing
+
+## How to Run
+
+1. **Setup Environment**
+   ```bash
+   # Clone the repository
+   git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
+   cd awesome-llm-apps/ai_agent_tutorials/ai_voice_agent_openaisdk
+   
+   # Install dependencies
+   pip install -r requirements.txt
+   ```
+
+2. **Configure API Keys**
+   - Get OpenAI API key from [OpenAI Platform](https://platform.openai.com)
+   - Get Qdrant API key and URL from [Qdrant Cloud](https://cloud.qdrant.io)
+   - Get Firecrawl API key for documentation crawling
+
+3. **Run the Application**
+   ```bash
+   streamlit run ai_voice_agent_docs.py
+   ```
+
+4. **Use the Interface**
+   - Enter API credentials in the sidebar
+   - Input the documentation URL you want to learn about
+   - Select your preferred voice from the dropdown
+   - Click "Initialize System" to process the documentation
+   - Ask questions and receive both text and voice responses
+
+## Features in Detail
+
+- **Knowledge Base Creation**
+  - Builds a searchable knowledge base from your documentation
+  - Preserves document structure and metadata
+  - Supports multiple page crawling (limited to 5 pages per default configuration)
+
+- **Vector Search**
+  - Uses FastEmbed for generating embeddings
+  - Semantic search capabilities for finding relevant content
+  - Efficient document retrieval using Qdrant
+
+- **Voice Generation**
+  - High-quality text-to-speech using OpenAI's TTS models
+  - Multiple voice options for customization
+  - Natural speech patterns with proper pacing and emphasis
diff --git a/ai_agent_tutorials/customer_support_voice_agent_team/customer_support_voice_agent.py b/ai_agent_tutorials/customer_support_voice_agent/customer_support_voice_agent.py
similarity index 100%
rename from ai_agent_tutorials/customer_support_voice_agent_team/customer_support_voice_agent.py
rename to ai_agent_tutorials/customer_support_voice_agent/customer_support_voice_agent.py
diff --git a/ai_agent_tutorials/customer_support_voice_agent_team/requirements.txt b/ai_agent_tutorials/customer_support_voice_agent/requirements.txt
similarity index 100%
rename from ai_agent_tutorials/customer_support_voice_agent_team/requirements.txt
rename to ai_agent_tutorials/customer_support_voice_agent/requirements.txt