Rename Section 4: Integrating Tools and Agents with updated notebook names

Section directory renamed:
- section-4-tool-selection → section-4-integrating-tools-and-agents

Notebooks renamed:
- 02_redis_university_course_advisor_agent.ipynb → 02_building_course_advisor_agent.ipynb
- 02_redis_university_course_advisor_agent_with_compression.ipynb → 03_agent_with_memory_compression.ipynb

Notebook titles updated:
- 'Building a Redis University Course Advisor Agent' → 'Building a Course Advisor Agent'
- 'Building a Redis University Course Advisor Agent (with Working Memory Compression)' → 'Agent with Memory Compression'

Updated all references across:
- README.md (section title, directory path, learning path)
- COURSE_SUMMARY.md (section title, notebook names)
- notebooks/README.md (section title, notebook names)
- notebooks/SETUP_GUIDE.md (section reference)
- notebooks/section-4-integrating-tools-and-agents/README.md (section title, notebook references)
- notebooks/section-4-integrating-tools-and-agents/03_agent_with_memory_compression.ipynb (cross-reference)

Changes emphasize integration of tools and agents as key learning outcome:
- Section 1: Context Engineering Foundations (framework)
- Section 2: Retrieved Context Engineering (RAG/vector search)
- Section 3: Memory Systems for Context Engineering (conversation/user context)
- Section 4: Integrating Tools and Agents (bringing it all together)
- Creates clear progression from fundamentals to complete agent systems

Author: nkanu17

python-recipes/context-engineering/COURSE_SUMMARY.md

@@ -135,14 +135,14 @@ None (pure theory and conceptual foundation)
 
 ---
 
-### **Section 4: Tool Selection & LangGraph** (5-6 hours)
+### **Section 4: Integrating Tools and Agents** (5-6 hours)
 
 **Notebooks**: 3 | **Prerequisites**: Sections 1-3
 
 #### Notebooks
 1. **Tools and LangGraph Fundamentals** - Tool creation, LangGraph basics, state management
-2. **Redis University Course Advisor Agent** - Complete production agent with all features
-3. **Course Advisor with Compression** - Enhanced agent demonstrating compression strategies
+2. **Building a Course Advisor Agent** - Complete production agent with all features
+3. **Agent with Memory Compression** - Enhanced agent demonstrating compression strategies
 
 #### Learning Outcomes
 - ✅ Create and orchestrate multiple tools
@@ -650,7 +650,7 @@ from redis_context_course import (
 #### For Beginners (3-4 weeks, 6-8 hours/week)
 1. **Week 1**: Complete Section 1 (Foundations) and Section 2 (RAG)
 2. **Week 2**: Work through Section 3 (Memory Systems for Context Engineering)
-3. **Week 3**: Build agents in Section 4 (Tool Selection & LangGraph)
+3. **Week 3**: Build agents in Section 4 (Integrating Tools and Agents)
 4. **Week 4**: Optimize in Section 5 (Production)
 
 #### For Experienced Developers (1-2 weeks full-time)

python-recipes/context-engineering/README.md

@@ -123,7 +123,7 @@ Master dual memory systems with Agent Memory Server, including extraction and co
 
 ---
 
-### **Section 4: Tool Selection & LangGraph** (5-6 hours)
+### **Section 4: Integrating Tools and Agents** (5-6 hours)
 **3 notebooks** | **Prerequisites**: Sections 1-3
 
 Build production agents with LangGraph, semantic tool selection, and state management.
@@ -195,7 +195,7 @@ context-engineering/
 │   ├── section-1-context-engineering-foundations/  # Section 1 notebooks
 │   ├── section-2-retrieved-context-engineering/  # Section 2 notebooks
 │   ├── section-3-memory-systems-for-context-engineering/  # Section 3 notebooks
-│   ├── section-4-tool-selection/       # Section 4 notebooks
+│   ├── section-4-integrating-tools-and-agents/  # Section 4 notebooks
 │   └── section-5-optimization-production/  # Section 5 notebooks
 │
 └── reference-agent/                    # Production-ready reference implementation
@@ -456,7 +456,7 @@ docker-compose down -v
 
 1. **Week 1**: Complete Section 1 (Foundations) and Section 2 (RAG)
 2. **Week 2**: Work through Section 3 (Memory Systems for Context Engineering)
-3. **Week 3**: Build agents in Section 4 (Tool Selection & LangGraph)
+3. **Week 3**: Build agents in Section 4 (Integrating Tools and Agents)
 4. **Week 4**: Optimize in Section 5 (Production)
 
 ### For Experienced Developers
@@ -501,7 +501,7 @@ docker-compose down -v
 - Implement memory extraction strategies
 - Apply working memory compression techniques
 
-**Section 4: Tool Selection & LangGraph**
+**Section 4: Integrating Tools and Agents**
 - Build stateful agents with LangGraph
 - Implement semantic tool selection
 - Manage complex agent workflows

python-recipes/context-engineering/notebooks/README.md

@@ -159,7 +159,7 @@ Basic Concepts        → RAG Agent      → Memory Agent    → Multi-Tool Agen
 
 ---
 
-### 🔧 **Section 4: Tool Selection & LangGraph Agents**
+### 🔧 **Section 4: Integrating Tools and Agents**
 **Goal**: Build production agents with LangGraph and intelligent tool selection
 **Duration**: ~5-6 hours
 **Prerequisites**: Section 3 completed, understanding of LangGraph basics
@@ -179,8 +179,8 @@ Basic Concepts        → RAG Agent      → Memory Agent    → Multi-Tool Agen
 
 **Notebooks**:
 1. `01_tools_and_langgraph_fundamentals.ipynb` - LangGraph basics and tool integration
-2. `02_redis_university_course_advisor_agent.ipynb` - Complete course advisor agent
-3. `02_redis_university_course_advisor_agent_with_compression.ipynb` - Agent with memory compression
+2. `02_building_course_advisor_agent.ipynb` - Complete course advisor agent
+3. `03_agent_with_memory_compression.ipynb` - Agent with memory compression
 
 **Reference Agent Components Used**:
 - `CourseManager` - Course search and recommendations
@@ -327,7 +327,7 @@ Students can:
 - ✅ Implement memory compression for long conversations
 - ✅ Design cross-session conversation continuity
 
-### **After Section 4: Tool Selection & LangGraph**
+### **After Section 4: Integrating Tools and Agents**
 Students can:
 - ✅ Build stateful agents with LangGraph StateGraph
 - ✅ Create and integrate multiple tools in agents

python-recipes/context-engineering/notebooks/SETUP_GUIDE.md

@@ -156,7 +156,7 @@ Once setup is complete:
 
 ## 🔗 Section-Specific Requirements
 
-### Section 3 & 4: Memory Systems & Agents
+### Section 3 & 4: Memory Systems & Tools/Agents
 - ✅ Redis (for vector storage)
 - ✅ Agent Memory Server (for memory management)
 - ✅ OpenAI API key

…1_tools_and_langgraph_fundamentals.ipynb …1_tools_and_langgraph_fundamentals.ipynbpython-recipes/context-engineering/notebooks/section-4-tool-selection/01_tools_and_langgraph_fundamentals.ipynb renamed to python-recipes/context-engineering/notebooks/section-4-integrating-tools-and-agents/01_tools_and_langgraph_fundamentals.ipynb python-recipes/context-engineering/notebooks/section-4-tool-selection/01_tools_and_langgraph_fundamentals.ipynb renamed to python-recipes/context-engineering/notebooks/section-4-integrating-tools-and-agents/01_tools_and_langgraph_fundamentals.ipynb

@@ -7,7 +7,7 @@
    "source": [
     "![Redis](https://redis.io/wp-content/uploads/2024/04/Logotype.svg?auto=webp&quality=85,75&width=120)\n",
     "\n",
-    "# 🤖 Section 4: Building a Redis University Course Advisor Agent\n",
+    "# 🤖 Building a Course Advisor Agent\n",
     "\n",
     "**⏱️ Estimated Time:** 60-75 minutes\n",
     "\n",

…is_university_course_advisor_agent.ipynb …s/02_building_course_advisor_agent.ipynbpython-recipes/context-engineering/notebooks/section-4-tool-selection/02_redis_university_course_advisor_agent.ipynb renamed to python-recipes/context-engineering/notebooks/section-4-integrating-tools-and-agents/02_building_course_advisor_agent.ipynb python-recipes/context-engineering/notebooks/section-4-tool-selection/02_redis_university_course_advisor_agent.ipynb renamed to python-recipes/context-engineering/notebooks/section-4-integrating-tools-and-agents/02_building_course_advisor_agent.ipynb

@@ -7,11 +7,11 @@
    "source": [
     "![Redis](https://redis.io/wp-content/uploads/2024/04/Logotype.svg?auto=webp&quality=85,75&width=120)\n",
     "\n",
-    "# 🤖 Section 4: Building a Redis University Course Advisor Agent (with Working Memory Compression)\n",
+    "# 🤖 Agent with Memory Compression\n",
     "\n",
     "**⏱️ Estimated Time:** 90-120 minutes\n",
     "\n",
-    "**📝 Note:** This is an enhanced version of the course advisor agent that includes working memory compression demonstrations. For the standard version without compression, see `02_redis_university_course_advisor_agent.ipynb`.\n",
+    "**📝 Note:** This is an enhanced version of the course advisor agent that includes working memory compression demonstrations. For the standard version without compression, see `02_building_course_advisor_agent.ipynb`.\n",
     "\n",
     "## 🎯 Learning Objectives\n",
     "\n",

…rse_advisor_agent_with_compression.ipynb …s/03_agent_with_memory_compression.ipynbpython-recipes/context-engineering/notebooks/section-4-tool-selection/02_redis_university_course_advisor_agent_with_compression.ipynb renamed to python-recipes/context-engineering/notebooks/section-4-integrating-tools-and-agents/03_agent_with_memory_compression.ipynb python-recipes/context-engineering/notebooks/section-4-tool-selection/02_redis_university_course_advisor_agent_with_compression.ipynb renamed to python-recipes/context-engineering/notebooks/section-4-integrating-tools-and-agents/03_agent_with_memory_compression.ipynb

@@ -1,4 +1,4 @@
-# Section 4: Agents and Tools
+# Section 4: Integrating Tools and Agents
 
 **⏱️ Estimated Time:** 2-2.5 hours total
 
@@ -24,8 +24,8 @@ This section teaches you how to build intelligent agents that combine RAG, memor
 - LangGraph state management
 - Tool-driven context construction
 
-### 2. Redis University Course Advisor Agent (60-75 minutes)
-**File:** `02_redis_university_course_advisor_agent.ipynb`
+### 2. Building a Course Advisor Agent (60-75 minutes)
+**File:** `02_building_course_advisor_agent.ipynb`
 
 **What You'll Build:**
 A complete course advisor agent with:
@@ -62,12 +62,12 @@ A complete course advisor agent with:
 - Course catalog retrieval
 - Single-step retrieval → generation
 
-### Section 3: Memory Architecture
+### Section 3: Memory Systems for Context Engineering
 - Working memory for conversation continuity
 - Long-term memory for persistent knowledge
 - Memory-enhanced RAG systems
 
-### Section 4: Agents and Tools (This Section)
+### Section 4: Integrating Tools and Agents (This Section)
 - **Combines everything:** RAG + Memory + Tools + Decision-Making
 - Agents can decide when to search, store, and recall
 - Multi-step reasoning and adaptive workflows