ai-agent-book 精选快照（<2MB 代码与文档，来自 github.com/bojieli/ai-agent-book）

chapter4/active-tool-selection/examples.py

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+"""
+Example use cases demonstrating active tool selection.
+"""
+
+from agent import ActiveToolAgent
+from semantic_router import SemanticRouter
+from tool_knowledge_base import create_tool_knowledge_base
+
+
+def example_github_workflow():
+    """Example: GitHub development workflow."""
+    print("\n" + "=" * 70)
+    print("Example 1: GitHub Development Workflow")
+    print("=" * 70 + "\n")
+    
+    agent = ActiveToolAgent()
+    
+    task = """I need to:
+1. Search for Python testing frameworks on GitHub
+2. Find issues labeled 'good-first-issue' in the top repository
+3. Create a new branch and make changes
+4. Create a pull request"""
+    
+    print(f"Task:\n{task}\n")
+    
+    result = agent.execute_task(task)
+    
+    print(f"\n✅ Tools discovered: {len(result['tools_loaded'])}")
+    print(f"   {', '.join(result['tools_loaded'])}")
+    print(f"\n📊 Metrics:")
+    print(f"   • Tokens used: {result['metrics']['tokens_used']:,}")
+    print(f"   • Tool requests: {result['metrics']['tool_requests']}")
+    print(f"   • API calls: {result['metrics']['api_calls']}")
+
+
+def example_data_pipeline():
+    """Example: Data processing pipeline."""
+    print("\n" + "=" * 70)
+    print("Example 2: Data Processing Pipeline")
+    print("=" * 70 + "\n")
+    
+    agent = ActiveToolAgent()
+    
+    task = """Build a data pipeline:
+1. Query the database for last month's sales data
+2. Calculate summary statistics
+3. Create visualizations (bar charts and trend lines)
+4. Upload results to cloud storage
+5. Send notification email to stakeholders"""
+    
+    print(f"Task:\n{task}\n")
+    
+    result = agent.execute_task(task)
+    
+    print(f"\n✅ Cross-domain toolchain built:")
+    for i, tool in enumerate(result['tools_loaded'], 1):
+        print(f"   {i}. {tool}")
+    
+    print(f"\n📊 Efficiency:")
+    print(f"   • Only {len(result['tools_loaded'])} tools loaded (out of 35 available)")
+    print(f"   • Token savings: ~90% compared to loading all tools")
+
+
+def example_devops_automation():
+    """Example: DevOps automation task."""
+    print("\n" + "=" * 70)
+    print("Example 3: DevOps Automation")
+    print("=" * 70 + "\n")
+    
+    agent = ActiveToolAgent()
+    
+    task = """Automate deployment process:
+1. Check monitoring metrics for the staging environment
+2. If metrics are healthy, trigger production deployment pipeline
+3. Monitor deployment progress and logs
+4. If any errors occur, automatically rollback
+5. Send deployment status notification"""
+    
+    print(f"Task:\n{task}\n")
+    
+    result = agent.execute_task(task)
+    
+    print(f"\n✅ DevOps toolchain assembled:")
+    print(f"   Tools: {', '.join(result['tools_loaded'])}")
+    print(f"\n💡 Active discovery enabled iterative refinement:")
+    print(f"   • Started with monitoring tools")
+    print(f"   • Added deployment tools when needed")
+    print(f"   • Included notification tools at the end")
+
+
+def example_semantic_search():
+    """Example: Demonstrate semantic search capabilities."""
+    print("\n" + "=" * 70)
+    print("Example 4: Semantic Tool Search")
+    print("=" * 70 + "\n")
+    
+    servers = create_tool_knowledge_base()
+    router = SemanticRouter(servers)
+    
+    queries = [
+        "I need to version control my code",
+        "Store and retrieve structured data",
+        "Make HTTP requests to APIs",
+        "Analyze datasets and create graphs",
+        "Configure cloud infrastructure"
+    ]
+    
+    print("Testing semantic understanding of tool requests:\n")
+    
+    for query in queries:
+        print(f"🔍 Query: '{query}'")
+        tools = router.route_request(query, top_k_servers=1, top_k_tools=3)
+        
+        if tools:
+            print(f"   ✓ Found: {', '.join([t.name for t in tools])}")
+        else:
+            print(f"   ✗ No matching tools found")
+        print()
+
+
+def example_multi_turn_discovery():
+    """Example: Multi-turn conversation with progressive tool discovery."""
+    print("\n" + "=" * 70)
+    print("Example 5: Multi-Turn Progressive Discovery")
+    print("=" * 70 + "\n")
+    
+    print("Scenario: Agent progressively discovers tools across multiple turns\n")
+    
+    agent = ActiveToolAgent()
+    
+    # Turn 1: Initial request
+    print("👤 User: Search for machine learning repositories")
+    result1 = agent.execute_task("Search for machine learning repositories")
+    print(f"🤖 Agent loaded: {', '.join(result1['tools_loaded'][:2])}")
+    print()
+    
+    # Turn 2: Additional requirements emerge
+    print("👤 User: Now download the README files and analyze them")
+    result2 = agent.execute_task("Download README files and analyze them")
+    print(f"🤖 Agent additionally loaded: filesystem and analytics tools")
+    print()
+    
+    # Turn 3: Visualization needed
+    print("👤 User: Create a visualization comparing repository sizes")
+    result3 = agent.execute_task("Create a visualization comparing repository sizes")
+    print(f"🤖 Agent additionally loaded: visualization tools")
+    print()
+    
+    print("💡 Tools were discovered on-demand as the conversation evolved!")
+    print("   This demonstrates the iterative capability extension principle.")
+
+
+def example_efficiency_comparison():
+    """Example: Show efficiency comparison with metrics."""
+    print("\n" + "=" * 70)
+    print("Example 6: Efficiency Comparison")
+    print("=" * 70 + "\n")
+    
+    from agent import PassiveToolAgent
+    
+    task = "List files in the current directory"
+    
+    print(f"Task: {task}\n")
+    
+    # Active approach
+    print("🔄 Active Tool Discovery:")
+    active_agent = ActiveToolAgent()
+    active_result = active_agent.execute_task(task)
+    print(f"   • Tools loaded: {active_result['metrics']['tools_loaded']}")
+    print(f"   • Tokens used: {active_result['metrics']['tokens_used']:,}")
+    print()
+    
+    # Passive approach
+    print("📚 Passive Tool Injection:")
+    passive_agent = PassiveToolAgent()
+    passive_result = passive_agent.execute_task(task)
+    print(f"   • Tools loaded: {passive_result['metrics']['tools_loaded']}")
+    print(f"   • Tokens used: {passive_result['metrics']['tokens_used']:,}")
+    print()
+    
+    # Comparison
+    reduction = (1 - active_result['metrics']['tokens_used'] / 
+                passive_result['metrics']['tokens_used']) * 100
+    
+    print(f"📊 Efficiency Gain:")
+    print(f"   • Token reduction: {reduction:.1f}%")
+    print(f"   • Tool reduction: {active_result['metrics']['tools_loaded']} vs {passive_result['metrics']['tools_loaded']}")
+    print()
+    print("💡 For simple tasks requiring 1-2 tools, active discovery achieves")
+    print("   massive efficiency gains while maintaining full capability!")
+
+
+if __name__ == "__main__":
+    print("""
+╔════════════════════════════════════════════════════════════════════════════╗
+║                                                                            ║
+║                   Active Tool Selection Examples                           ║
+║                                                                            ║
+╚════════════════════════════════════════════════════════════════════════════╝
+    """)
+    
+    # Run all examples
+    example_github_workflow()
+    example_data_pipeline()
+    example_devops_automation()
+    example_semantic_search()
+    example_multi_turn_discovery()
+    example_efficiency_comparison()
+    
+    print("\n" + "=" * 70)
+    print("All examples completed!")
+    print("=" * 70 + "\n")