diff --git a/autogen_landing.html b/autogen_landing.html new file mode 100644 index 000000000000..d08dfcb73304 --- /dev/null +++ b/autogen_landing.html @@ -0,0 +1,618 @@ + + + + + + AutoGen - Multi-Agent AI Framework + + + + +
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AutoGen

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The Multi-Agent AI Framework for Building Intelligent Applications

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+ Try Demo + Documentation +
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Powerful Multi-Agent Capabilities

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🤝
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Agent Collaboration

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Multiple AI agents work together to solve complex problems, each bringing specialized skills and perspectives.

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🛠️
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Tool Integration

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Agents can use custom tools and functions, from calculators to web browsers to code execution environments.

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🎯
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Flexible Orchestration

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Round-robin, selector-based, or custom group chat patterns to coordinate agent interactions.

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⚙️
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Easy Configuration

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JSON-based configuration system makes it simple to define agents, tools, and workflows.

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🎨
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AutoGen Studio

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No-code GUI for building and prototyping multi-agent applications with visual workflow designer.

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🔌
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Extensible

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Support for multiple LLM providers, custom extensions, and integration with external services.

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See AutoGen in Action

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Travel Planning Team Workflow

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🗺️
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Planner

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Creates itinerary

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→
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🏛️
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Local Expert

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Adds local insights

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→
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🗣️
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Language Guide

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Provides language tips

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→
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📋
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Summarizer

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Final travel plan

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+ Click "Run Travel Demo" to see the agents collaborate on planning a trip to Tokyo! +
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Simple to Get Started

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hello_autogen.py
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+ 
+import asyncio
+from autogen_agentchat.agents import AssistantAgent
+from autogen_agentchat.teams import RoundRobinGroupChat
+from autogen_ext.models.openai import OpenAIChatCompletionClient
+
+# Create agents with specialized roles
+planner = AssistantAgent(
+    "planner",
+    model_client=OpenAIChatCompletionClient(model="gpt-4"),
+    system_message="You are a travel planner."
+)
+
+local_expert = AssistantAgent(
+    "local_expert", 
+    model_client=OpenAIChatCompletionClient(model="gpt-4"),
+    system_message="You provide local insights and tips."
+)
+
+# Create a team and run the workflow
+team = RoundRobinGroupChat([planner, local_expert])
+result = await team.run(task="Plan a 3-day trip to Tokyo")
+print(result)
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Installation
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+ 
+# Install AutoGen packages
+pip install -U "autogen-agentchat" "autogen-ext[openai]"
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+# Install AutoGen Studio for GUI
+pip install -U "autogenstudio"
+
+# Run AutoGen Studio
+autogenstudio ui --port 8080
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+ + + + + + + \ No newline at end of file diff --git a/simple_autogen_demo.py b/simple_autogen_demo.py new file mode 100644 index 000000000000..04acabd9de3e --- /dev/null +++ b/simple_autogen_demo.py @@ -0,0 +1,222 @@ +#!/usr/bin/env python3 +""" +Simple AutoGen Studio-like Demo +This script provides a basic demonstration of AutoGen functionality +without requiring the full AutoGen Studio installation. +""" + +import os +import json +from typing import List, Dict, Any + +def print_header(): + """Print a welcome header""" + print("=" * 60) + print(" 🤖 AUTOGEN DEMO - MULTI-AGENT SYSTEM 🤖") + print("=" * 60) + print() + +def print_separator(): + """Print a section separator""" + print("-" * 60) + +def display_agents(): + """Display available agent configurations""" + print("📋 AVAILABLE AGENT TEAMS:") + print() + print("1. 🧮 Calculator Agent Team") + print(" - Single assistant agent with calculator tool") + print(" - Can perform basic arithmetic operations") + print() + print("2. ✈️ Travel Planning Team") + print(" - Multi-agent travel planning system") + print(" - Planner, Local Expert, Language Expert, Summary Agent") + print() + print("3. 💬 Custom Chat") + print(" - Simple two-agent conversation") + print() + +def display_agent_config(config_name: str): + """Display agent configuration details""" + configs = { + "calculator": { + "name": "Calculator Team", + "description": "A single assistant agent with calculator capabilities", + "agents": ["Assistant Agent with Calculator Tool"], + "tools": ["Basic Calculator (+, -, *, /)"], + "use_case": "Mathematical computations and calculations" + }, + "travel": { + "name": "Travel Planning Team", + "description": "Multi-agent team for comprehensive travel planning", + "agents": [ + "Planner Agent - Creates initial travel plans", + "Local Agent - Suggests local activities and places", + "Language Agent - Provides language and communication tips", + "Summary Agent - Creates final integrated travel plan" + ], + "tools": ["None (LLM-based reasoning only)"], + "use_case": "End-to-end travel itinerary planning" + }, + "chat": { + "name": "Simple Chat", + "description": "Basic conversational agents", + "agents": ["User Assistant", "Helper Agent"], + "tools": ["None"], + "use_case": "General conversation and assistance" + } + } + + if config_name in configs: + config = configs[config_name] + print(f"🎯 TEAM: {config['name']}") + print(f"📝 Description: {config['description']}") + print(f"👥 Agents:") + for agent in config['agents']: + print(f" • {agent}") + print(f"🔧 Tools: {', '.join(config['tools'])}") + print(f"💡 Use Case: {config['use_case']}") + else: + print("❌ Configuration not found") + +def simulate_agent_interaction(team_type: str, task: str): + """Simulate agent interactions for demo purposes""" + print(f"🚀 STARTING {team_type.upper()} TEAM...") + print(f"📝 Task: {task}") + print() + + if team_type == "calculator": + simulate_calculator_team(task) + elif team_type == "travel": + simulate_travel_team(task) + elif team_type == "chat": + simulate_chat_team(task) + +def simulate_calculator_team(task: str): + """Simulate calculator agent interaction""" + print("🤖 Assistant Agent: I'll help you with your calculation.") + print("🔧 Using calculator tool...") + + # Simple calculation simulation + if "2+3" in task or "2 + 3" in task: + print("🧮 Calculator Tool: Performing addition: 2 + 3") + print("✅ Result: 5") + elif "10*5" in task or "10 * 5" in task: + print("🧮 Calculator Tool: Performing multiplication: 10 * 5") + print("✅ Result: 50") + else: + print("🧮 Calculator Tool: Processing calculation...") + print("✅ Result: [Calculation would be performed here]") + + print("🤖 Assistant Agent: The calculation is complete. TERMINATE") + +def simulate_travel_team(task: str): + """Simulate travel planning team interaction""" + print("🗺️ Planner Agent: I'll create an initial travel plan for your trip.") + print(" Creating a 3-day itinerary with key attractions and activities.") + print() + + print("🏛️ Local Agent: Let me add some authentic local experiences!") + print(" I recommend visiting local markets, trying street food, and cultural sites.") + print() + + print("🗣️ Language Agent: Here are important language tips for your destination.") + print(" Learn basic greetings, useful phrases, and download a translation app.") + print() + + print("📋 Summary Agent: Creating comprehensive travel plan...") + print(" ✈️ Day 1: Arrival, city orientation, main attractions") + print(" 🌅 Day 2: Cultural experiences, local cuisine, markets") + print(" 🎒 Day 3: Adventure activities, shopping, departure prep") + print(" 📱 Language prep: Key phrases, translation apps") + print(" 🚀 Your complete travel plan is ready! TERMINATE") + +def simulate_chat_team(task: str): + """Simulate simple chat interaction""" + print("👋 User Assistant: Hello! I'm here to help with your request.") + print("🤝 Helper Agent: I'll provide additional support and insights.") + print("💬 User Assistant: Let me address your question step by step.") + print("✨ Helper Agent: I can offer alternative perspectives if needed.") + print("✅ User Assistant: I believe we've addressed your request. TERMINATE") + +def interactive_demo(): + """Run interactive demo""" + print_header() + + while True: + display_agents() + print_separator() + + choice = input("Select a team (1-3) or 'q' to quit: ").strip() + + if choice.lower() == 'q': + print("👋 Thanks for trying the AutoGen Demo!") + break + + team_map = {"1": "calculator", "2": "travel", "3": "chat"} + + if choice not in team_map: + print("❌ Invalid choice. Please try again.\n") + continue + + team_type = team_map[choice] + print_separator() + display_agent_config(team_type) + print_separator() + + # Get task from user + if team_type == "calculator": + task = input("Enter a calculation (e.g., '2+3' or '10*5'): ").strip() + elif team_type == "travel": + task = input("Enter destination (e.g., 'Plan a 3 day trip to Nepal'): ").strip() + else: + task = input("Enter your question or request: ").strip() + + if not task: + task = "Default task for demonstration" + + print_separator() + simulate_agent_interaction(team_type, task) + print_separator() + + input("\nPress Enter to continue...") + print("\n" + "=" * 60 + "\n") + +def display_real_configs(): + """Display information about real AutoGen Studio configs""" + print("📁 REAL AUTOGEN STUDIO CONFIGURATIONS:") + print() + print("This demo is based on actual AutoGen Studio team configurations:") + print("• team.json - Calculator agent with function tools") + print("• travel_team.json - Multi-agent travel planning team") + print() + print("These configs use:") + print("• autogen_agentchat.agents.AssistantAgent") + print("• autogen_agentchat.teams.RoundRobinGroupChat") + print("• autogen_ext.models.openai.OpenAIChatCompletionClient") + print("• Custom function tools and termination conditions") + print() + +def main(): + """Main function""" + print("AutoGen Studio Demo - Choose an option:") + print("1. Interactive Demo") + print("2. View Real AutoGen Configs") + print("3. Exit") + + choice = input("\nEnter choice (1-3): ").strip() + + if choice == "1": + interactive_demo() + elif choice == "2": + display_real_configs() + input("\nPress Enter to continue...") + main() + elif choice == "3": + print("Goodbye!") + else: + print("Invalid choice, please try again.") + main() + +if __name__ == "__main__": + main() \ No newline at end of file