Add README for AI Reasoning Agent with setup instructions and features

ai_agent_tutorials/ai_reasoning_agent/README.md

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+## AI Reasoning Agent
+
+The AI Reasoning Agent leverages advanced AI models to provide insightful reasoning and decision-making capabilities. This agent is designed to assist users in various analytical tasks by processing information and generating structured outputs.
+
+### Features
+- **Advanced Reasoning**: Utilizes the Ollama model to perform complex reasoning tasks
+- **Interactive Playground**: Provides a user-friendly interface for interacting with the reasoning agent
+- **Markdown Support**: Outputs results in markdown format for easy readability and sharing
+- **Customizable Agent**: Easily configurable to suit different reasoning scenarios
+
+### How to Get Started
+1. **Clone the repository**:
+    ```bash
+    git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
+    cd ai_agent_tutorials/ai_reasoning_agent
+    ```
+
+2. **Install the required packages**:
+    #### For Local AI Reasoning Agent
+    ```bash
+    pip install -r requirements_local_ai_reasoning_agent.txt
+    ```
+
+3. **Run the application**:
+    ```bash
+    python local_ai_reasoning_agent.py
+    ```
+
+### Using the Agent
+1. **Access the Playground**:
+    - Open the provided URL to access the interactive playground
+    - The playground allows you to input queries and receive structured reasoning outputs
+
+2. **Input Queries**:
+    - Enter your queries in the provided input field
+    - The agent processes the input and provides detailed reasoning and analysis
+
+3. **View Results**:
+    - Results are displayed in markdown format
+    - Easily copy and share the outputs for further use
+
+### Features in Detail
+- **Reasoning Capabilities**:
+  - Handles a wide range of analytical tasks
+  - Provides clear and structured outputs
+  - Supports markdown for easy sharing and readability
+
+- **Interactive Interface**:
+  - User-friendly playground for seamless interaction
+  - Real-time processing and output generation
+  - Configurable settings to tailor the agent's behavior