Change to get_course_details tool that retrieves by course code

Replaced semantic search tool with a get_course_details tool that:
- Takes a list of course codes (not natural language queries)
- Can retrieve multiple courses in one call
- Returns detailed information including prerequisites and instructor
- Works with the catalog overview as a 'map' to find course codes

Author: abrookins

python-recipes/context-engineering/notebooks/section-4-optimizations/05_crafting_data_for_llms.ipynb

@@ -365,42 +365,48 @@
         "\n",
         "catalog_view = redis_client.get(\"course_catalog_view\") or \"\"\n",
         "\n",
-        "# Define a tool for searching courses\n",
+        "# Define a tool for retrieving course details by course code\n",
         "from langchain_core.tools import tool\n",
+        "from typing import List\n",
         "\n",
         "@tool\n",
-        "async def search_courses_tool(query: str, limit: int = 5) -> str:\n",
-        "    \"\"\"Search for courses by semantic similarity to the query.\n",
+        "async def get_course_details(course_codes: List[str]) -> str:\n",
+        "    \"\"\"Get detailed information about one or more courses by their course codes.\n",
         "    \n",
         "    Args:\n",
-        "        query: Natural language description of what courses to find\n",
-        "        limit: Maximum number of courses to return (default: 5)\n",
+        "        course_codes: List of course codes (e.g., ['CS101', 'MATH201'])\n",
         "    \n",
         "    Returns:\n",
-        "        Formatted string with course details\n",
+        "        Formatted string with detailed course information\n",
         "    \"\"\"\n",
-        "    courses = await course_manager.search_courses(query=query, limit=limit)\n",
-        "    if not courses:\n",
-        "        return \"No courses found matching that query.\"\n",
+        "    if not course_codes:\n",
+        "        return \"No course codes provided.\"\n",
         "    \n",
         "    result = []\n",
-        "    for course in courses:\n",
-        "        result.append(f\"\"\"Course: {course.course_code} - {course.title}\n",
+        "    for code in course_codes:\n",
+        "        course = await course_manager.get_course_by_code(code)\n",
+        "        if course:\n",
+        "            result.append(f\"\"\"Course: {course.course_code} - {course.title}\n",
         "Department: {course.department}\n",
         "Description: {course.description}\n",
         "Credits: {course.credits} | Difficulty: {course.difficulty_level}\n",
-        "Format: {course.format}\"\"\")\n",
+        "Format: {course.format}\n",
+        "Instructor: {course.instructor}\n",
+        "Prerequisites: {', '.join([p.course_code for p in course.prerequisites]) if course.prerequisites else 'None'}\"\"\")\n",
+        "        else:\n",
+        "            result.append(f\"Course {code}: Not found\")\n",
+        "    \n",
         "    return \"\\n\\n\".join(result)\n",
         "\n",
         "# Bind the tool to the LLM\n",
-        "llm_with_tools = llm.bind_tools([search_courses_tool])\n",
+        "llm_with_tools = llm.bind_tools([get_course_details])\n",
         "\n",
         "system_prompt = f\"\"\"You are a class scheduling agent for Redis University.\n",
         "\n",
         "{catalog_view}\n",
         "\n",
         "Use this overview to help students understand what's available.\n",
-        "For specific course details, use the search_courses_tool to find detailed information.\n",
+        "When students ask about specific courses, use the get_course_details tool with the course codes from the overview above.\n",
         "\"\"\"\n",
         "\n",
         "user_query = \"What departments offer courses? I'm interested in computer science.\"\n",