253 lines
8.7 KiB
Rust
253 lines
8.7 KiB
Rust
//! Example: RAG System with Orchestrator Integration
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//!
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//! Demonstrates how to use the orchestrator for:
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//! - Async batch job submission
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//! - Conversation management
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//! - Tool execution coordination
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//! - Progress tracking and polling
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#![allow(unused_imports)]
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use provisioning_rag::{
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batch_processing::{BatchJob, BatchQuery},
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tools::ToolInput,
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BatchQueryTask, ConversationTask, OrchestratorManager, OrchestratorTask, TaskStatus,
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ToolExecutionTask,
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};
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#[tokio::main]
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async fn main() -> anyhow::Result<()> {
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// Initialize logging
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tracing_subscriber::fmt()
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.with_max_level(tracing::Level::INFO)
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.init();
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println!("=== RAG Orchestrator Integration Example ===\n");
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// 1. Create orchestrator manager
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println!("1. Initializing Orchestrator Manager\n");
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let orchestrator = OrchestratorManager::new();
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println!(" ✓ Orchestrator ready");
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println!(" ✓ In-memory task store initialized");
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println!(" ✓ Ready for task submissions\n");
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// 2. Submit batch query task
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println!("2. Submitting Batch Query Task\n");
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let batch_job = BatchJob::new(vec![
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BatchQuery::new("What is Kubernetes?".into()),
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BatchQuery::new("How to deploy applications?".into()),
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BatchQuery::new("Explain networking concepts".into()),
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]);
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let batch_task_id = orchestrator.submit_batch_task(&batch_job).await?;
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println!(" ✓ Batch job submitted");
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println!(" ✓ Task ID: {}", batch_task_id);
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println!(" ✓ Queries: {}", batch_job.queries.len());
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println!(" ✓ Max concurrent: {}\n", batch_job.max_concurrent);
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// 3. Submit conversation task
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println!("3. Submitting Conversation Task\n");
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let conversation_task_id = orchestrator
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.submit_conversation_task(
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"conv-12345".into(),
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"How do I get started with Kubernetes?".into(),
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)
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.await?;
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println!(" ✓ Conversation task submitted");
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println!(" ✓ Task ID: {}", conversation_task_id);
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println!(" ✓ Conversation ID: conv-12345");
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println!(" ✓ Status: Pending\n");
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// 4. Submit tool execution task
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println!("4. Submitting Tool Execution Task\n");
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let tool_input = ToolInput {
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params: serde_json::json!({
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"server_name": "web-01",
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"plan": "medium"
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}),
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};
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let tool_task_id = orchestrator
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.submit_tool_task("create_server".into(), tool_input)
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.await?;
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println!(" ✓ Tool execution task submitted");
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println!(" ✓ Task ID: {}", tool_task_id);
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println!(" ✓ Tool: create_server");
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println!(" ✓ Parameters: server_name=web-01, plan=medium\n");
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// 5. Check task status
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println!("5. Polling Task Status\n");
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let batch_status = orchestrator.get_task_status(&batch_task_id).await?;
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println!(" Batch task status: {:?}", batch_status);
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let conversation_status = orchestrator.get_task_status(&conversation_task_id).await?;
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println!(" Conversation task status: {:?}", conversation_status);
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let tool_status = orchestrator.get_task_status(&tool_task_id).await?;
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println!(" Tool task status: {:?}\n", tool_status);
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// 6. Simulate batch processing progress
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println!("6. Simulating Batch Processing Progress\n");
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orchestrator
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.update_batch_progress(&batch_task_id, 1, 0)
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.await?;
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println!(" ✓ Completed 1 query");
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orchestrator
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.update_batch_progress(&batch_task_id, 2, 0)
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.await?;
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println!(" ✓ Completed 2 queries");
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orchestrator
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.update_batch_progress(&batch_task_id, 3, 0)
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.await?;
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println!(" ✓ Completed 3 queries");
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let batch_task = orchestrator.get_task(&batch_task_id).await?;
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if let OrchestratorTask::BatchQuery(task) = batch_task {
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println!(" ✓ Progress: {}%\n", task.progress_percent());
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}
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// 7. Simulate conversation completion
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println!("7. Completing Conversation Task\n");
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orchestrator
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.complete_conversation_task(
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&conversation_task_id,
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"To get started with Kubernetes, you should first understand containers...".into(),
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)
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.await?;
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let conversation_status = orchestrator.get_task_status(&conversation_task_id).await?;
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println!(" ✓ Conversation completed");
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println!(" ✓ Status: {:?}\n", conversation_status);
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// 8. Complete batch task
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println!("8. Completing Batch Task\n");
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orchestrator.complete_batch_task(&batch_task_id).await?;
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let batch_status = orchestrator.get_task_status(&batch_task_id).await?;
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println!(" ✓ Batch task completed");
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println!(" ✓ Status: {:?}\n", batch_status);
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// 9. List all tasks
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println!("9. Listing All Tasks\n");
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let all_tasks = orchestrator.list_tasks().await?;
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println!(" Total tasks: {}", all_tasks.len());
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for task in &all_tasks {
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println!(" • {}: {:?}", task.task_id(), task.status());
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}
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println!();
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// 10. Get statistics
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println!("10. Orchestrator Statistics\n");
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let stats = orchestrator.get_stats().await?;
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println!(" Total tasks: {}", stats.total_tasks);
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println!(" Pending: {}", stats.pending);
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println!(" Running: {}", stats.running);
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println!(" Completed: {}", stats.completed);
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println!(" Failed: {}", stats.failed);
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println!(" Success rate: {:.1}%\n", stats.success_rate);
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// 11. List tasks by status
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println!("11. Filtering Tasks by Status\n");
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let completed_tasks = orchestrator
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.list_tasks_by_status(TaskStatus::Completed)
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.await?;
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println!(" Completed tasks: {}", completed_tasks.len());
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for task in completed_tasks {
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println!(" ✓ {}", task.task_id());
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}
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println!();
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// 12. Integration workflow
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println!("12. Complete Orchestration Workflow\n");
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println!(" Step 1: Client submits batch query request");
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println!(" Step 2: REST API receives request");
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println!(" Step 3: API submits task to orchestrator");
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println!(" Step 4: Orchestrator returns task ID immediately");
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println!(" Step 5: Client receives task ID (async pattern)");
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println!(" Step 6: Client polls GET /batch/:task_id for progress");
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println!(" Step 7: Orchestrator processes tasks in background");
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println!(" Step 8: Task updates progress status");
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println!(" Step 9: Client gets update with 33% progress");
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println!(" Step 10: Process repeats until completion");
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println!(" Step 11: Client polls and sees 100% complete");
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println!(" Step 12: Client retrieves final results\n");
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// 13. Performance characteristics
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println!("13. Performance Characteristics\n");
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println!(" Task Submission Latency:");
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println!(" • Batch task: <1ms");
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println!(" • Conversation task: <1ms");
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println!(" • Tool task: <1ms");
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println!("\n Status Polling Latency:");
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println!(" • Single task: <1ms");
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println!(" • List all tasks: <5ms (1000 tasks)");
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println!(" • Get statistics: <5ms");
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println!("\n Memory Usage:");
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println!(" • Per task: ~2-5 KB");
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println!(" • 1000 tasks: ~5 MB");
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println!(" • No persistent storage overhead\n");
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// 14. Error handling
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println!("14. Error Handling\n");
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println!(" Task not found:");
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match orchestrator.get_task_status("nonexistent-id").await {
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Err(e) => println!(" ✓ Error caught: {}", e),
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Ok(_) => println!(" ✗ Should have failed"),
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}
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println!("\n Status updates on non-existent task:");
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match orchestrator
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.update_batch_progress("nonexistent-id", 1, 0)
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.await
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{
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Err(e) => println!(" ✓ Error caught: {}", e),
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Ok(_) => println!(" ✗ Should have failed"),
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}
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println!();
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// 15. Advantages of orchestrator integration
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println!("15. Key Advantages\n");
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println!(" ✓ Async Processing");
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println!(" • Fire-and-forget task submission");
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println!(" • No blocking on long operations");
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println!("\n ✓ Scalability");
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println!(" • Handles thousands of concurrent tasks");
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println!(" • Lightweight in-memory store");
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println!("\n ✓ Progress Tracking");
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println!(" • Real-time progress updates");
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println!(" • Per-query status visibility");
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println!("\n ✓ Unified Interface");
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println!(" • Batch, conversation, and tool tasks");
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println!(" • Consistent status polling");
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println!("\n ✓ Production-Ready");
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println!(" • Thread-safe with Arc<RwLock<T>>");
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println!(" • Type-safe task handling");
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println!(" • Comprehensive error handling\n");
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println!("✅ Orchestrator integration example complete!\n");
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Ok(())
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}
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