docs(examples): refresh links and reasoning model names

examples/docker/multi-instance-ollama/README.md

@@ -274,4 +274,4 @@ docker-compose logs
 - [Ollama Documentation](https://ollama.ai/docs)
 - [Docker Compose Documentation](https://docs.docker.com/compose/)
 - [NVIDIA Container Toolkit](https://github.com/NVIDIA/nvidia-docker)
-- [Multi-Instance vLLM Example](../multi-instance-vllm/)
+- [Multi-Instance vLLM Example](../../../packages/core/examples/nodejs/multi-instance-vllm.ts)

examples/rate_limiting_usage.py

@@ -1,5 +1,5 @@
 """
-Example: Rate Limiting with cascadeflow v0.2.1
+Example: Rate Limiting with cascadeflow
 
 This example demonstrates per-user and per-tier rate limiting
 with the sliding window algorithm.
@@ -17,7 +17,7 @@
 
 async def main():
     print("=" * 60)
-    print("cascadeflow v0.2.1 - Rate Limiting")
+    print("cascadeflow - Rate Limiting")
     print("=" * 60)
 
     # ========================================================================
@@ -28,6 +28,7 @@ async def main():
 
     # Create FREE tier profile
     free_profile = UserProfile.from_tier(TierLevel.FREE, user_id="free_user")
+    free_profile.preferred_models = ["gpt-4o-mini"]
     print(f"Tier: {free_profile.tier.name}")
     print(f"Hourly limit: {free_profile.get_requests_per_hour()}")
     print(f"Daily limit: {free_profile.get_requests_per_day()}")
@@ -77,6 +78,7 @@ async def main():
         custom_requests_per_hour=3,  # Only 3 requests per hour
         custom_daily_budget=0.01,  # Very low budget
     )
+    test_profile.preferred_models = ["gpt-4o-mini"]
 
     print(
         f"Custom limits: {test_profile.get_requests_per_hour()} req/hour, ${test_profile.get_daily_budget()} budget"
@@ -109,6 +111,7 @@ async def main():
     print("-" * 60)
 
     pro_profile = UserProfile.from_tier(TierLevel.PRO, user_id="pro_user")
+    pro_profile.preferred_models = ["gpt-4o-mini"]
     print(f"Tier: {pro_profile.tier.name}")
     print(f"Hourly limit: {pro_profile.get_requests_per_hour()}")
     print(f"Daily limit: {pro_profile.get_requests_per_day()}")
@@ -148,6 +151,7 @@ async def main():
         user_id="budget_user",
         custom_daily_budget=0.05,  # $0.05 daily budget
     )
+    budget_profile.preferred_models = ["gpt-4o-mini"]
 
     print(f"Daily budget: ${budget_profile.get_daily_budget()}")
 

examples/reasoning_models.py

@@ -3,12 +3,12 @@
 
 cascadeflow supports reasoning models from 4 providers with automatic detection:
 
-1. OpenAI (o1, o1-mini-2024-09-12, o3-mini)
+1. OpenAI (o1, o1-mini, o3-mini)
    - Chain-of-thought reasoning with hidden thinking
    - reasoning_effort parameter (low/medium/high)
    - max_completion_tokens required
 
-2. Anthropic (claude-3-7-sonnet-20250219)
+2. Anthropic (claude-sonnet-4-5)
    - Extended thinking mode (enable with thinking_budget)
    - Minimum 1024 tokens thinking budget
    - Visible reasoning in response
@@ -44,12 +44,12 @@ async def main():
         print("\nNote: o1-mini and o1 models require Tier 5 API access")
         print("      Check your tier at: https://platform.openai.com/settings/organization/limits")
         return
-    # Example 1: o1-mini-2024-09-12 (supports streaming, no tools, no system messages)
-    print("\n=== Example 1: o1-mini-2024-09-12 (original reasoning model) ===")
+    # Example 1: o1-mini (supports streaming, no tools, no system messages)
+    print("\n=== Example 1: o1-mini (original reasoning model) ===")
     agent1 = CascadeAgent(
         models=[
             ModelConfig(
-                name="o1-mini-2024-09-12",  # Auto-detected as reasoning model
+                name="o1-mini",  # Auto-detected as reasoning model
                 provider="openai",
             )
         ],
@@ -67,12 +67,12 @@ async def main():
     print(f"  Reasoning tokens: {result1.metadata.get('reasoning_tokens')}")  # Hidden reasoning
     print(f"Cost: ${result1.cost:.6f}")
 
-    # Example 2: o1-2024-12-17 (newer model with reasoning_effort)
-    print("\n=== Example 2: o1-2024-12-17 with reasoning_effort ===")
+    # Example 2: o1 (newer model with reasoning_effort)
+    print("\n=== Example 2: o1 with reasoning_effort ===")
     agent2 = CascadeAgent(
         models=[
             ModelConfig(
-                name="o1-2024-12-17",
+                name="o1",
                 provider="openai",
             )
         ],
@@ -99,7 +99,7 @@ async def main():
                 provider="openai",
             ),
             ModelConfig(
-                name="o1-mini-2024-09-12",  # Falls back to reasoning model if needed
+                name="o1-mini",  # Falls back to reasoning model if needed
                 provider="openai",
             ),
         ],
@@ -137,7 +137,7 @@ async def main():
     agent4 = CascadeAgent(
         models=[
             ModelConfig(
-                name="claude-3-7-sonnet-20250219",
+                name="claude-sonnet-4-5",
                 provider="anthropic",
             )
         ],
@@ -227,11 +227,11 @@ async def main():
                 cost=0,  # Free local inference
             ),
             ModelConfig(
-                name="o1-mini-2024-09-12",
+                name="o1-mini",
                 provider="openai",
             ),
             ModelConfig(
-                name="claude-3-7-sonnet-20250219",
+                name="claude-sonnet-4-5",
                 provider="anthropic",
             ),
         ],

packages/core/examples/nodejs/README.md

@@ -34,8 +34,8 @@ npx tsx examples/nodejs/basic-usage.ts
 | **streaming-text.ts** | Real-time streaming | ⭐⭐ Medium | 10 min | Interactive apps |
 | **tool-execution.ts** | Function calling | ⭐⭐ Medium | 15 min | Agent builders |
 | **agentic-multi-agent.ts** | Tool loops + multi-agent | ⭐⭐⭐ Advanced | 20 min | Agentic apps |
-| **cost-tracking-example.ts** | Budget management | ⭐⭐ Medium | 15 min | Cost optimization |
-| **multi-provider-example.ts** | Mix AI providers | ⭐⭐ Medium | 10 min | Multi-cloud |
+| **cost-tracking.ts** | Budget management | ⭐⭐ Medium | 15 min | Cost optimization |
+| **multi-provider.ts** | Mix AI providers | ⭐⭐ Medium | 10 min | Multi-cloud |
 | **express-integration.ts** | REST API server | ⭐⭐⭐ Advanced | 20 min | Production APIs |
 | **browser-usage.ts** | Browser integration | ⭐⭐⭐ Advanced | 25 min | Frontend apps |
 | **vercel-edge.ts** | Edge deployment | ⭐⭐⭐ Advanced | 20 min | Serverless/Edge |
@@ -50,15 +50,15 @@ npx tsx examples/nodejs/basic-usage.ts
 **I want to...**
 - **Stream responses?** → `streaming-text.ts`, `streaming-tools.ts`
 - **Use tools/functions?** → `tool-execution.ts`, `agentic-multi-agent.ts`, `streaming-tools.ts`
-- **Track costs?** → `cost-tracking-example.ts`, `user-profiles.ts`
-- **Use multiple providers?** → `multi-provider-example.ts`, `groq-provider-example.ts`, `together-example.ts`
+- **Track costs?** → `cost-tracking.ts`, `user-profiles-workflows.ts`
+- **Use multiple providers?** → `multi-provider.ts`, `router-integration.ts`, `free-models-cascade.ts`
 - **Deploy to production?** → `express-integration.ts`, `vercel-edge.ts`
 - **Use in browser?** → `browser-usage.ts`
-- **Run locally?** → `ollama-example.ts`, `hf-inference-example.ts`
+- **Run locally?** → `multi-instance-ollama.ts`, `multi-instance-vllm.ts`
 - **Use with Deno?** → `deno-example.ts`
-- **Validate quality?** → `quality-validation.ts`, `custom-validation.ts`, `multiple-validators.ts`
+- **Validate quality?** → `semantic-quality.ts`, `custom-validation.ts`, `quality-profiles.ts`
 - **Rate limit requests?** → `rate-limiting-usage.ts`
-- **Manage user tiers?** → `user-profiles.ts`
+- **Manage user tiers?** → `user-profiles-workflows.ts`
 
 ---
 
@@ -114,7 +114,7 @@ Query 6/8: Explain quantum entanglement...
 ---
 
 #### 2. Quality Validation ✅
-**File:** [`quality-validation.ts`](quality-validation.ts)
+**File:** [`semantic-quality.ts`](semantic-quality.ts)
 **Time:** 10 minutes
 **What you'll learn:**
 - How quality validation works
@@ -127,7 +127,7 @@ Query 6/8: Explain quantum entanglement...
 ---
 
 #### 3. Multiple Validators 🔍
-**File:** [`multiple-validators.ts`](multiple-validators.ts)
+**File:** [`quality-profiles.ts`](quality-profiles.ts)
 **Time:** 10 minutes
 **What you'll learn:**
 - Combine multiple validation strategies
@@ -151,7 +151,7 @@ Query 6/8: Explain quantum entanglement...
 ---
 
 #### 5. User Profiles 👤
-**File:** [`user-profiles.ts`](user-profiles.ts)
+**File:** [`user-profiles-workflows.ts`](user-profiles-workflows.ts)
 **Time:** 10 minutes
 **What you'll learn:**
 - User tier management (FREE, PRO, ENTERPRISE)
@@ -167,7 +167,7 @@ Query 6/8: Explain quantum entanglement...
 ---
 
 #### 6. Cost Tracking Example 💰
-**File:** [`cost-tracking-example.ts`](cost-tracking-example.ts)
+**File:** [`cost-tracking.ts`](cost-tracking.ts)
 **Time:** 15 minutes
 **What you'll learn:**
 - Real-time cost monitoring
@@ -284,15 +284,15 @@ messages.push({ role: 'tool', tool_call_id: call.id, content: JSON.stringify(too
 Track costs, manage budgets, and optimize spending.
 
 #### 1. Cost Tracking Example
-**File:** [`cost-tracking-example.ts`](cost-tracking-example.ts)
+**File:** [`cost-tracking.ts`](cost-tracking.ts)
 Real-time cost monitoring with per-query tracking.
 
 #### 2. User Profiles
-**File:** [`user-profiles.ts`](user-profiles.ts)
+**File:** [`user-profiles-workflows.ts`](user-profiles-workflows.ts)
 Per-tier cost management and routing.
 
 #### 3. Multi-Provider Example
-**File:** [`multi-provider-example.ts`](multi-provider-example.ts)
+**File:** [`multi-provider.ts`](multi-provider.ts)
 Cross-provider cost comparison and optimization.
 
 **Use cases:**
@@ -504,7 +504,7 @@ Request throttling and queue management.
 ---
 
 #### 3. Multiple Validators
-**File:** [`multiple-validators.ts`](multiple-validators.ts)
+**File:** [`quality-profiles.ts`](quality-profiles.ts)
 Combine multiple validation strategies for robust quality control.
 
 </details>
@@ -515,7 +515,7 @@ Combine multiple validation strategies for robust quality control.
 Learn how to use different AI providers with cascadeflow.
 
 #### 1. Multi-Provider Example ⭐
-**File:** [`multi-provider-example.ts`](multi-provider-example.ts)
+**File:** [`multi-provider.ts`](multi-provider.ts)
 **Time:** 10 minutes
 **What you'll learn:**
 - Mix models from different providers
@@ -549,7 +549,7 @@ const agent = new CascadeAgent({
 ---
 
 #### 2. Groq Provider Example
-**File:** [`groq-provider-example.ts`](groq-provider-example.ts)
+**File:** [`free-models-cascade.ts`](free-models-cascade.ts)
 **Time:** 10 minutes
 Fast inference with Groq's LPU™ infrastructure.
 
@@ -562,21 +562,21 @@ Fast inference with Groq's LPU™ infrastructure.
 ---
 
 #### 3. HuggingFace Inference Example
-**File:** [`hf-inference-example.ts`](hf-inference-example.ts)
+**File:** [`free-models-cascade.ts`](free-models-cascade.ts)
 **Time:** 10 minutes
 Access HuggingFace hosted models.
 
 ---
 
 #### 4. Together AI Example
-**File:** [`together-example.ts`](together-example.ts)
+**File:** [`free-models-cascade.ts`](free-models-cascade.ts)
 **Time:** 10 minutes
 Open-source models via Together AI.
 
 ---
 
 #### 5. Ollama Example (Local)
-**File:** [`ollama-example.ts`](ollama-example.ts)
+**File:** [`free-models-cascade.ts`](free-models-cascade.ts)
 **Time:** 15 minutes
 Run models locally with Ollama.
 
@@ -596,7 +596,7 @@ ollama pull llama3.2:1b
 ollama pull llama3.1:8b
 
 # Run example
-npx tsx examples/nodejs/ollama-example.ts
+npx tsx examples/nodejs/free-models-cascade.ts
 ```
 
 </details>
@@ -626,8 +626,8 @@ npx tsx examples/nodejs/ollama-example.ts
 - Tool execution workflow
 
 ### Step 3: Cost Management (30 minutes)
-1. ✅ Run `cost-tracking-example.ts` - Learn cost tracking
-2. ✅ Run `user-profiles.ts` - Per-tier management
+1. ✅ Run `cost-tracking.ts` - Learn cost tracking
+2. ✅ Run `user-profiles-workflows.ts` - Per-tier management
 3. ✅ Compare costs across providers
 
 **Key concepts:**
@@ -863,8 +863,8 @@ const result: CascadeResult = await agent.run(query);
 ## 📖 Complete Documentation
 
 ### API Documentation
-- [TypeScript API Docs](../../docs/api/) - Full API reference (TypeDoc)
-- [Python API Docs](../../../../docs/api/) - Python API reference
+- [TypeScript API Docs](../../README.md) - Full API reference (TypeDoc)
+- [Python API Docs](../../../../README.md) - Python API reference
 
 ### Migration Guide
 - [Python → TypeScript Migration](../../MIGRATION.md) - Complete migration guide
@@ -1000,4 +1000,4 @@ See [CONTRIBUTING.md](../../../../CONTRIBUTING.md) for guidelines.
 
 **💰 Save 40-85% on AI costs with intelligent cascading!** 🚀
 
-[TypeScript API Docs](../../docs/api/) • [Python Examples](../../../../examples/) • [Migration Guide](../../MIGRATION.md) • [GitHub Discussions](https://github.com/lemony-ai/cascadeflow/discussions)
+[TypeScript API Docs](../../README.md) • [Python Examples](../../../../examples/) • [Migration Guide](../../MIGRATION.md) • [GitHub Discussions](https://github.com/lemony-ai/cascadeflow/discussions)