🤖 LangGraph AgenticAI - Streamlit Application

LangGraph AgenticAI is an interactive Streamlit-based AI framework designed to integrate LLM models (like Groq) with graph-based agentic reasoning.
It allows users to select different use cases, configure LLMs, and visualize intelligent agent workflows dynamically.

---

🚀 Features

• 🧠 Modular LLM Integration: Plug-and-play support for multiple LLMs (Groq, etc.)
• 🕸️ Graph-Based Architecture: Dynamically constructs reasoning and tool graphs based on the selected use case
• 💬 Interactive Streamlit UI: Simple, responsive interface for users to select models, use cases, and enter prompts
• 🔗 Tool Integration: Supports external API tools like Tavily for web search and news aggregation
• 📰 AI News Fetcher: Built-in “AI News” use case with selectable time frames (Daily / Weekly / Monthly)
• ⚙️ Configurable: Flexible configuration using centralized Config class

---

⚙️ How It Works

1️⃣ Load the Streamlit UI

Users select:

• LLM Provider (e.g., Groq)
• Model variant
• Use case (e.g., AI News, Chatbot With Web)
• API keys for required services

2️⃣ Configure LLM & Graph

The app uses:

• GroqLLM → Initializes and configures the selected model
• GraphBuilder → Constructs the reasoning graph for the chosen use case

3️⃣ Generate & Display Results

Once the user submits input:

• The system processes the query through the LLM
• Builds a use-case-specific reasoning flow
• Displays structured results using DisplayResultStreamlit

---

🔑 Required API Keys

Depending on your selected use case, you may need:

API Key	Purpose	Required For
GROQ_API_KEY	To access Groq LLM API	All Groq LLM use cases
TAVILY_API_KEY	To fetch live web or AI news data	Chatbot With Web / AI News

You can obtain them here:

• Groq API Keys
• Tavily API Keys

---

🛠️ Tech Stack

• Python 3.10+
• Streamlit (Frontend UI)
• LangGraph AgenticAI Core
• Groq API
• Tavily API

---