[model-gateway] change sgl-router to sgl-model-gateway (#14312)
This commit is contained in:
Simo Lin
@@ -0,0 +1,659 @@
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// These modules are used by tests and benchmarks
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#![allow(dead_code)]
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pub mod mock_mcp_server;
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pub mod mock_openai_server;
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pub mod mock_worker;
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pub mod streaming_helpers;
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pub mod test_app;
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use std::{
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fs,
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path::PathBuf,
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sync::{Arc, Mutex, OnceLock},
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};
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use serde_json::json;
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use sgl_model_gateway::{
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app_context::AppContext,
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config::{RouterConfig, RoutingMode},
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core::{
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BasicWorkerBuilder, LoadMonitor, ModelCard, RuntimeType, Worker, WorkerRegistry, WorkerType,
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},
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data_connector::{
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MemoryConversationItemStorage, MemoryConversationStorage, MemoryResponseStorage,
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},
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middleware::TokenBucket,
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policies::PolicyRegistry,
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protocols::common::{Function, Tool},
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};
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/// Helper function to create AppContext for tests
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pub async fn create_test_context(config: RouterConfig) -> Arc<AppContext> {
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let client = reqwest::Client::new();
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// Initialize rate limiter
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let rate_limiter = match config.max_concurrent_requests {
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n if n <= 0 => None,
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n => {
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let rate_limit_tokens = config
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.rate_limit_tokens_per_second
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.filter(|&t| t > 0)
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.unwrap_or(n);
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Some(Arc::new(TokenBucket::new(
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n as usize,
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rate_limit_tokens as usize,
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)))
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}
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};
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// Initialize registries
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let worker_registry = Arc::new(WorkerRegistry::new());
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let policy_registry = Arc::new(PolicyRegistry::new(config.policy.clone()));
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// Initialize storage backends (Memory for tests)
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let response_storage = Arc::new(MemoryResponseStorage::new());
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let conversation_storage = Arc::new(MemoryConversationStorage::new());
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let conversation_item_storage = Arc::new(MemoryConversationItemStorage::new());
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// Initialize load monitor
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let load_monitor = Some(Arc::new(LoadMonitor::new(
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worker_registry.clone(),
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policy_registry.clone(),
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client.clone(),
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config.worker_startup_check_interval_secs,
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)));
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// Create empty OnceLock for worker job queue, workflow engine, and mcp manager
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let worker_job_queue = Arc::new(OnceLock::new());
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let workflow_engine = Arc::new(OnceLock::new());
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let mcp_manager_lock = Arc::new(OnceLock::new());
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let app_context = Arc::new(
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AppContext::builder()
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.router_config(config.clone())
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.client(client)
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.rate_limiter(rate_limiter)
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.tokenizer(None) // tokenizer
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.reasoning_parser_factory(None) // reasoning_parser_factory
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.tool_parser_factory(None) // tool_parser_factory
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.worker_registry(worker_registry)
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.policy_registry(policy_registry)
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.response_storage(response_storage)
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.conversation_storage(conversation_storage)
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.conversation_item_storage(conversation_item_storage)
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.load_monitor(load_monitor)
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.worker_job_queue(worker_job_queue)
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.workflow_engine(workflow_engine)
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.mcp_manager(mcp_manager_lock)
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.build()
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.unwrap(),
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);
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// Initialize JobQueue after AppContext is created
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let weak_context = Arc::downgrade(&app_context);
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let job_queue = sgl_model_gateway::core::JobQueue::new(
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sgl_model_gateway::core::JobQueueConfig::default(),
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weak_context,
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);
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app_context
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.worker_job_queue
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.set(job_queue)
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.expect("JobQueue should only be initialized once");
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// Initialize WorkflowEngine and register workflows
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use sgl_model_gateway::core::workflow::{
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create_worker_registration_workflow, create_worker_removal_workflow, WorkflowEngine,
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};
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let engine = Arc::new(WorkflowEngine::new());
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engine.register_workflow(create_worker_registration_workflow(&config));
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engine.register_workflow(create_worker_removal_workflow());
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app_context
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.workflow_engine
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.set(engine)
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.expect("WorkflowEngine should only be initialized once");
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// Register external workers for OpenAI mode
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if let RoutingMode::OpenAI { worker_urls, .. } = &config.mode {
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for url in worker_urls {
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// Create a worker that supports common test models
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let models = vec![
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ModelCard::new("mock-model"),
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ModelCard::new("gpt-4"),
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ModelCard::new("gpt-3.5-turbo"),
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];
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let worker: Arc<dyn Worker> = Arc::new(
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BasicWorkerBuilder::new(url)
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.worker_type(WorkerType::Regular)
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.runtime_type(RuntimeType::External)
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.models(models)
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.build(),
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);
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app_context.worker_registry.register(worker);
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}
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}
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// Initialize MCP manager with empty config
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use sgl_model_gateway::mcp::{McpConfig, McpManager};
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let empty_config = McpConfig {
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servers: vec![],
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pool: Default::default(),
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proxy: None,
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warmup: vec![],
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inventory: Default::default(),
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};
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let mcp_manager = McpManager::with_defaults(empty_config)
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.await
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.expect("Failed to create MCP manager");
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app_context
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.mcp_manager
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.set(Arc::new(mcp_manager))
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.ok()
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.expect("McpManager should only be initialized once");
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app_context
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}
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/// Helper function to create AppContext for tests with MCP config from file
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pub async fn create_test_context_with_mcp_config(
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config: RouterConfig,
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mcp_config_path: &str,
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) -> Arc<AppContext> {
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use sgl_model_gateway::mcp::{McpConfig, McpManager};
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let client = reqwest::Client::new();
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// Initialize rate limiter
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let rate_limiter = match config.max_concurrent_requests {
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n if n <= 0 => None,
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n => {
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let rate_limit_tokens = config
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.rate_limit_tokens_per_second
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.filter(|&t| t > 0)
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.unwrap_or(n);
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Some(Arc::new(TokenBucket::new(
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n as usize,
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rate_limit_tokens as usize,
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)))
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}
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};
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// Initialize registries
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let worker_registry = Arc::new(WorkerRegistry::new());
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let policy_registry = Arc::new(PolicyRegistry::new(config.policy.clone()));
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// Initialize storage backends (Memory for tests)
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let response_storage = Arc::new(MemoryResponseStorage::new());
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let conversation_storage = Arc::new(MemoryConversationStorage::new());
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let conversation_item_storage = Arc::new(MemoryConversationItemStorage::new());
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// Initialize load monitor
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let load_monitor = Some(Arc::new(LoadMonitor::new(
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worker_registry.clone(),
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policy_registry.clone(),
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client.clone(),
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config.worker_startup_check_interval_secs,
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)));
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// Create empty OnceLock for worker job queue, workflow engine, and mcp manager
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let worker_job_queue = Arc::new(OnceLock::new());
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let workflow_engine = Arc::new(OnceLock::new());
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let mcp_manager_lock = Arc::new(OnceLock::new());
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let app_context = Arc::new(
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AppContext::builder()
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.router_config(config.clone())
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.client(client)
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.rate_limiter(rate_limiter)
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.tokenizer(None) // tokenizer
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.reasoning_parser_factory(None) // reasoning_parser_factory
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.tool_parser_factory(None) // tool_parser_factory
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.worker_registry(worker_registry)
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.policy_registry(policy_registry)
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.response_storage(response_storage)
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.conversation_storage(conversation_storage)
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.conversation_item_storage(conversation_item_storage)
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.load_monitor(load_monitor)
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.worker_job_queue(worker_job_queue)
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.workflow_engine(workflow_engine)
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.mcp_manager(mcp_manager_lock)
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.build()
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.unwrap(),
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);
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// Initialize JobQueue after AppContext is created
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let weak_context = Arc::downgrade(&app_context);
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let job_queue = sgl_model_gateway::core::JobQueue::new(
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sgl_model_gateway::core::JobQueueConfig::default(),
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weak_context,
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);
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app_context
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.worker_job_queue
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.set(job_queue)
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.expect("JobQueue should only be initialized once");
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// Initialize WorkflowEngine and register workflows
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use sgl_model_gateway::core::workflow::{
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create_worker_registration_workflow, create_worker_removal_workflow, WorkflowEngine,
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};
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let engine = Arc::new(WorkflowEngine::new());
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engine.register_workflow(create_worker_registration_workflow(&config));
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engine.register_workflow(create_worker_removal_workflow());
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app_context
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.workflow_engine
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.set(engine)
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.expect("WorkflowEngine should only be initialized once");
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// Register external workers for OpenAI mode
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if let RoutingMode::OpenAI { worker_urls, .. } = &config.mode {
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for url in worker_urls {
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// Create a worker that supports common test models
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let models = vec![
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ModelCard::new("mock-model"),
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ModelCard::new("gpt-4"),
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ModelCard::new("gpt-3.5-turbo"),
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];
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let worker: Arc<dyn Worker> = Arc::new(
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BasicWorkerBuilder::new(url)
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.worker_type(WorkerType::Regular)
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.runtime_type(RuntimeType::External)
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.models(models)
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.build(),
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);
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app_context.worker_registry.register(worker);
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}
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}
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// Initialize MCP manager from config file
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let mcp_config = McpConfig::from_file(mcp_config_path)
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.await
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.expect("Failed to load MCP config from file");
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let mcp_manager = McpManager::with_defaults(mcp_config)
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.await
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.expect("Failed to create MCP manager");
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app_context
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.mcp_manager
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.set(Arc::new(mcp_manager))
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.ok()
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.expect("McpManager should only be initialized once");
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app_context
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}
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// Tokenizer download configuration
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const TINYLLAMA_TOKENIZER_URL: &str =
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"https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0/resolve/main/tokenizer.json";
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const CACHE_DIR: &str = ".tokenizer_cache";
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const TINYLLAMA_TOKENIZER_FILENAME: &str = "tinyllama_tokenizer.json";
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// Global mutex to prevent concurrent downloads
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static DOWNLOAD_MUTEX: OnceLock<Mutex<()>> = OnceLock::new();
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/// Downloads the TinyLlama tokenizer from HuggingFace if not already cached.
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/// Returns the path to the cached tokenizer file.
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///
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/// This function is thread-safe and will only download the tokenizer once
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/// even if called from multiple threads concurrently.
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pub fn ensure_tokenizer_cached() -> PathBuf {
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// Get or initialize the mutex
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let mutex = DOWNLOAD_MUTEX.get_or_init(|| Mutex::new(()));
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// Lock to ensure only one thread downloads at a time
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let _guard = mutex.lock().unwrap();
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let cache_dir = PathBuf::from(CACHE_DIR);
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let tokenizer_path = cache_dir.join(TINYLLAMA_TOKENIZER_FILENAME);
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// Create cache directory if it doesn't exist
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if !cache_dir.exists() {
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fs::create_dir_all(&cache_dir).expect("Failed to create cache directory");
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}
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// Download tokenizer if not already cached
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if !tokenizer_path.exists() {
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println!("Downloading TinyLlama tokenizer from HuggingFace...");
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// Use blocking reqwest client since we're in tests/benchmarks
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let client = reqwest::blocking::Client::new();
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let response = client
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.get(TINYLLAMA_TOKENIZER_URL)
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.send()
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.expect("Failed to download tokenizer");
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if !response.status().is_success() {
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panic!("Failed to download tokenizer: HTTP {}", response.status());
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}
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let content = response.bytes().expect("Failed to read tokenizer content");
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if content.len() < 100 {
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panic!("Downloaded content too small: {} bytes", content.len());
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}
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fs::write(&tokenizer_path, content).expect("Failed to write tokenizer to cache");
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println!(
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"Tokenizer downloaded and cached successfully ({} bytes)",
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tokenizer_path.metadata().unwrap().len()
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);
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}
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tokenizer_path
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}
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/// Common test prompts for consistency across tests
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pub const TEST_PROMPTS: [&str; 4] = [
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"deep learning is",
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"Deep learning is",
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"has anyone seen nemo lately",
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"another prompt",
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];
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/// Pre-computed hashes for verification
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pub const EXPECTED_HASHES: [u64; 4] = [
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1209591529327510910,
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4181375434596349981,
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6245658446118930933,
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5097285695902185237,
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];
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/// Create a comprehensive set of test tools covering all parser test scenarios
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#[allow(dead_code)]
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pub fn create_test_tools() -> Vec<Tool> {
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vec![
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Tool {
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tool_type: "function".to_string(),
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function: Function {
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name: "search".to_string(),
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description: Some("Search for information".to_string()),
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parameters: json!({
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"type": "object",
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"properties": {
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"query": {"type": "string"}
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}
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}),
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strict: None,
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},
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},
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Tool {
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tool_type: "function".to_string(),
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function: Function {
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name: "get_weather".to_string(),
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description: Some("Get weather information".to_string()),
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parameters: json!({
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"type": "object",
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"properties": {
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"city": {"type": "string"},
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"location": {"type": "string"},
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"date": {"type": "string"},
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"units": {"type": "string"}
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}
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}),
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strict: None,
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},
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},
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Tool {
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tool_type: "function".to_string(),
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function: Function {
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name: "calculate".to_string(),
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description: Some("Perform calculations".to_string()),
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parameters: json!({
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"type": "object",
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"properties": {
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"x": {"type": "number"},
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"y": {"type": "number"}
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}
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}),
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strict: None,
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},
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},
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Tool {
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tool_type: "function".to_string(),
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function: Function {
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name: "translate".to_string(),
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description: Some("Translate text".to_string()),
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parameters: json!({
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"type": "object",
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"properties": {
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"text": {"type": "string"},
|
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"to": {"type": "string"},
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"target_lang": {"type": "string"}
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}
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||||
}),
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strict: None,
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},
|
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},
|
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Tool {
|
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tool_type: "function".to_string(),
|
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function: Function {
|
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name: "get_time".to_string(),
|
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description: Some("Get current time".to_string()),
|
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parameters: json!({
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"type": "object",
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"properties": {
|
||||
"timezone": {"type": "string"},
|
||||
"format": {"type": "string"}
|
||||
}
|
||||
}),
|
||||
strict: None,
|
||||
},
|
||||
},
|
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Tool {
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tool_type: "function".to_string(),
|
||||
function: Function {
|
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name: "get_current_time".to_string(),
|
||||
description: Some("Get current time".to_string()),
|
||||
parameters: json!({
|
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"type": "object",
|
||||
"properties": {
|
||||
"timezone": {"type": "string"},
|
||||
"format": {"type": "string"}
|
||||
}
|
||||
}),
|
||||
strict: None,
|
||||
},
|
||||
},
|
||||
Tool {
|
||||
tool_type: "function".to_string(),
|
||||
function: Function {
|
||||
name: "update_settings".to_string(),
|
||||
description: Some("Update settings".to_string()),
|
||||
parameters: json!({
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"preferences": {"type": "object"},
|
||||
"notifications": {"type": "boolean"}
|
||||
}
|
||||
}),
|
||||
strict: None,
|
||||
},
|
||||
},
|
||||
Tool {
|
||||
tool_type: "function".to_string(),
|
||||
function: Function {
|
||||
name: "ping".to_string(),
|
||||
description: Some("Ping service".to_string()),
|
||||
parameters: json!({"type": "object", "properties": {}}),
|
||||
strict: None,
|
||||
},
|
||||
},
|
||||
Tool {
|
||||
tool_type: "function".to_string(),
|
||||
function: Function {
|
||||
name: "test".to_string(),
|
||||
description: Some("Test function".to_string()),
|
||||
parameters: json!({"type": "object", "properties": {}}),
|
||||
strict: None,
|
||||
},
|
||||
},
|
||||
Tool {
|
||||
tool_type: "function".to_string(),
|
||||
function: Function {
|
||||
name: "process".to_string(),
|
||||
description: Some("Process data".to_string()),
|
||||
parameters: json!({
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"count": {"type": "number"},
|
||||
"rate": {"type": "number"},
|
||||
"enabled": {"type": "boolean"},
|
||||
"data": {"type": "object"},
|
||||
"text": {"type": "string"}
|
||||
}
|
||||
}),
|
||||
strict: None,
|
||||
},
|
||||
},
|
||||
Tool {
|
||||
tool_type: "function".to_string(),
|
||||
function: Function {
|
||||
name: "web_search".to_string(),
|
||||
description: Some("Search the web".to_string()),
|
||||
parameters: json!({
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"query": {"type": "string"},
|
||||
"num_results": {"type": "number"},
|
||||
"search_type": {"type": "string"}
|
||||
}
|
||||
}),
|
||||
strict: None,
|
||||
},
|
||||
},
|
||||
Tool {
|
||||
tool_type: "function".to_string(),
|
||||
function: Function {
|
||||
name: "get_tourist_attractions".to_string(),
|
||||
description: Some("Get tourist attractions".to_string()),
|
||||
parameters: json!({
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"city": {"type": "string"}
|
||||
}
|
||||
}),
|
||||
strict: None,
|
||||
},
|
||||
},
|
||||
Tool {
|
||||
tool_type: "function".to_string(),
|
||||
function: Function {
|
||||
name: "config".to_string(),
|
||||
description: Some("Configuration function".to_string()),
|
||||
parameters: json!({
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"debug": {"type": "boolean"},
|
||||
"verbose": {"type": "boolean"},
|
||||
"optional": {"type": "null"}
|
||||
}
|
||||
}),
|
||||
strict: None,
|
||||
},
|
||||
},
|
||||
Tool {
|
||||
tool_type: "function".to_string(),
|
||||
function: Function {
|
||||
name: "test_func".to_string(),
|
||||
description: Some("Test function".to_string()),
|
||||
parameters: json!({
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"bool_true": {"type": "boolean"},
|
||||
"bool_false": {"type": "boolean"},
|
||||
"none_val": {"type": "null"}
|
||||
}
|
||||
}),
|
||||
strict: None,
|
||||
},
|
||||
},
|
||||
Tool {
|
||||
tool_type: "function".to_string(),
|
||||
function: Function {
|
||||
name: "create".to_string(),
|
||||
description: Some("Create resource".to_string()),
|
||||
parameters: json!({
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"name": {"type": "string"},
|
||||
"email": {"type": "string"}
|
||||
}
|
||||
}),
|
||||
strict: None,
|
||||
},
|
||||
},
|
||||
Tool {
|
||||
tool_type: "function".to_string(),
|
||||
function: Function {
|
||||
name: "add".to_string(),
|
||||
description: Some("Add operation".to_string()),
|
||||
parameters: json!({
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"x": {"type": "number"},
|
||||
"y": {"type": "number"}
|
||||
}
|
||||
}),
|
||||
strict: None,
|
||||
},
|
||||
},
|
||||
Tool {
|
||||
tool_type: "function".to_string(),
|
||||
function: Function {
|
||||
name: "calc".to_string(),
|
||||
description: Some("Calculate".to_string()),
|
||||
parameters: json!({
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"x": {"type": "number"}
|
||||
}
|
||||
}),
|
||||
strict: None,
|
||||
},
|
||||
},
|
||||
Tool {
|
||||
tool_type: "function".to_string(),
|
||||
function: Function {
|
||||
name: "func1".to_string(),
|
||||
description: Some("Function 1".to_string()),
|
||||
parameters: json!({"type": "object", "properties": {}}),
|
||||
strict: None,
|
||||
},
|
||||
},
|
||||
Tool {
|
||||
tool_type: "function".to_string(),
|
||||
function: Function {
|
||||
name: "func2".to_string(),
|
||||
description: Some("Function 2".to_string()),
|
||||
parameters: json!({
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"y": {"type": "number"}
|
||||
}
|
||||
}),
|
||||
strict: None,
|
||||
},
|
||||
},
|
||||
Tool {
|
||||
tool_type: "function".to_string(),
|
||||
function: Function {
|
||||
name: "tool1".to_string(),
|
||||
description: Some("Tool 1".to_string()),
|
||||
parameters: json!({"type": "object", "properties": {}}),
|
||||
strict: None,
|
||||
},
|
||||
},
|
||||
Tool {
|
||||
tool_type: "function".to_string(),
|
||||
function: Function {
|
||||
name: "tool2".to_string(),
|
||||
description: Some("Tool 2".to_string()),
|
||||
parameters: json!({
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"y": {"type": "number"}
|
||||
}
|
||||
}),
|
||||
strict: None,
|
||||
},
|
||||
},
|
||||
]
|
||||
}
|
||||
Reference in New Issue
Block a user