From 393f8fa00bcd0b0947e2f52f0e87ffa9713d53a3 Mon Sep 17 00:00:00 2001 From: Anand Srivastava Date: Wed, 7 Jan 2026 22:56:53 -0800 Subject: [PATCH 1/8] Add clickable source links and fix Intel Mac compatibility MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Make source citations clickable links to lesson videos - search_tools.py: Look up lesson URLs from course catalog - app.py: Update QueryResponse to return structured source data - script.js: Render sources as tags opening in new tabs - Fix PyTorch compatibility for Intel Mac (x86_64) - Pin torch==2.2.2, numpy<2, sentence-transformers==2.6.1 - Use Python 3.11 in run.sh (torch 2.2.2 requires it) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 --- backend/app.py | 2 +- backend/search_tools.py | 29 +- frontend/script.js | 8 +- pyproject.toml | 6 +- run.sh | 3 +- uv.lock | 651 +++++++++++++++++++++++++++++++++------- 6 files changed, 574 insertions(+), 125 deletions(-) diff --git a/backend/app.py b/backend/app.py index 5a69d741d..8da9ea96b 100644 --- a/backend/app.py +++ b/backend/app.py @@ -43,7 +43,7 @@ class QueryRequest(BaseModel): class QueryResponse(BaseModel): """Response model for course queries""" answer: str - sources: List[str] + sources: List[dict] # {"title": str, "url": str | None} session_id: str class CourseStats(BaseModel): diff --git a/backend/search_tools.py b/backend/search_tools.py index adfe82352..09f35a66c 100644 --- a/backend/search_tools.py +++ b/backend/search_tools.py @@ -88,29 +88,38 @@ def execute(self, query: str, course_name: Optional[str] = None, lesson_number: def _format_results(self, results: SearchResults) -> str: """Format search results with course and lesson context""" formatted = [] - sources = [] # Track sources for the UI - + sources = [] # Track sources for the UI (now with URLs) + for doc, meta in zip(results.documents, results.metadata): course_title = meta.get('course_title', 'unknown') lesson_num = meta.get('lesson_number') - + # Build context header header = f"[{course_title}" if lesson_num is not None: header += f" - Lesson {lesson_num}" header += "]" - + # Track source for the UI - source = course_title + source_title = course_title if lesson_num is not None: - source += f" - Lesson {lesson_num}" - sources.append(source) - + source_title += f" - Lesson {lesson_num}" + + # Look up lesson link from course catalog + lesson_link = None + if lesson_num is not None: + lesson_link = self.store.get_lesson_link(course_title, lesson_num) + + sources.append({ + "title": source_title, + "url": lesson_link + }) + formatted.append(f"{header}\n{doc}") - + # Store sources for retrieval self.last_sources = sources - + return "\n\n".join(formatted) class ToolManager: diff --git a/frontend/script.js b/frontend/script.js index 562a8a363..6eee508be 100644 --- a/frontend/script.js +++ b/frontend/script.js @@ -122,10 +122,16 @@ function addMessage(content, type, sources = null, isWelcome = false) { let html = `
${displayContent}
`; if (sources && sources.length > 0) { + const sourcesHtml = sources.map(s => { + const title = escapeHtml(s.title); + return s.url + ? `${title}` + : title; + }).join(', '); html += `
Sources -
${sources.join(', ')}
+
${sourcesHtml}
`; } diff --git a/pyproject.toml b/pyproject.toml index 3f05e2de0..aa8f2628f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -3,11 +3,13 @@ name = "starting-codebase" version = "0.1.0" description = "Add your description here" readme = "README.md" -requires-python = ">=3.13" +requires-python = ">=3.11" dependencies = [ "chromadb==1.0.15", "anthropic==0.58.2", - "sentence-transformers==5.0.0", + "sentence-transformers==2.6.1", + "torch==2.2.2", + "numpy<2", "fastapi==0.116.1", "uvicorn==0.35.0", "python-multipart==0.0.20", diff --git a/run.sh b/run.sh index 80e3853d8..11327b4cc 100755 --- a/run.sh +++ b/run.sh @@ -13,4 +13,5 @@ echo "Starting Course Materials RAG System..." echo "Make sure you have set your ANTHROPIC_API_KEY in .env" # Change to backend directory and start the server -cd backend && uv run uvicorn app:app --reload --port 8000 \ No newline at end of file +# Using Python 3.11 for torch compatibility with Intel Mac +cd backend && uv run --python 3.11 uvicorn app:app 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2001 From: Anand Srivastava Date: Fri, 9 Jan 2026 15:44:01 -0800 Subject: [PATCH 2/8] Add course outline tool, sequential tool calls, and new chat feature - Add CourseOutlineTool for retrieving course structure with lessons list - Refactor AIGenerator to support up to 2 sequential tool calling rounds - Add /api/session/new endpoint for creating fresh chat sessions - Add "New Chat" button to frontend for starting fresh conversations - Improve source links display with better styling and hover effects Co-Authored-By: Claude Opus 4.5 --- backend/ai_generator.py | 221 ++++++++++++++++++++++++++-------------- backend/app.py | 8 ++ backend/rag_system.py | 4 +- backend/search_tools.py | 62 +++++++++++ backend/vector_store.py | 39 +++++++ frontend/index.html | 7 +- frontend/script.js | 46 +++++++-- frontend/style.css | 58 ++++++++++- 8 files changed, 356 insertions(+), 89 deletions(-) diff --git a/backend/ai_generator.py b/backend/ai_generator.py index 0363ca90c..67ddc0ad2 100644 --- a/backend/ai_generator.py +++ b/backend/ai_generator.py @@ -5,21 +5,34 @@ class AIGenerator: """Handles interactions with Anthropic's Claude API for generating responses""" # Static system prompt to avoid rebuilding on each call - SYSTEM_PROMPT = """ You are an AI assistant specialized in course materials and educational content with access to a comprehensive search tool for course information. + SYSTEM_PROMPT = """ You are an AI assistant specialized in course materials and educational content with access to tools for course information. -Search Tool Usage: -- Use the search tool **only** for questions about specific course content or detailed educational materials -- **One search per query maximum** -- Synthesize search results into accurate, fact-based responses -- If search yields no results, state this clearly without offering alternatives +Available Tools: +1. **search_course_content**: Search for specific content within course materials + - Use for questions about specific topics, concepts, or detailed educational content +2. **get_course_outline**: Get the complete structure of a course + - Use for questions about course structure, lessons list, or course overview + - Returns: course title, course link, and all lessons (number and title for each) + +Tool Usage Guidelines: +- **Up to 2 sequential tool calls per query** if needed for complex questions +- First search for content, then optionally get more details or search related topics +- Use **get_course_outline** when asked about: + - What lessons are in a course + - Course structure or outline + - Overview of a course + - How many lessons a course has +- Use **search_course_content** for questions about specific topics or content within courses +- Synthesize results into accurate, fact-based responses +- If a tool yields no results, state this clearly without offering alternatives Response Protocol: -- **General knowledge questions**: Answer using existing knowledge without searching -- **Course-specific questions**: Search first, then answer +- **General knowledge questions**: Answer using existing knowledge without using tools +- **Course outline questions**: Use get_course_outline, then present the course title, course link, and lesson list +- **Course content questions**: Use search_course_content, then answer - **No meta-commentary**: - - Provide direct answers only — no reasoning process, search explanations, or question-type analysis - - Do not mention "based on the search results" - + - Provide direct answers only — no reasoning process, tool explanations, or question-type analysis + - Do not mention "based on the results" All responses must be: 1. **Brief, Concise and focused** - Get to the point quickly @@ -28,7 +41,10 @@ class AIGenerator: 4. **Example-supported** - Include relevant examples when they aid understanding Provide only the direct answer to what was asked. """ - + + # Maximum sequential tool calling rounds per query + MAX_TOOL_ROUNDS = 2 + def __init__(self, api_key: str, model: str): self.client = anthropic.Anthropic(api_key=api_key) self.model = model @@ -45,91 +61,144 @@ def generate_response(self, query: str, tools: Optional[List] = None, tool_manager=None) -> str: """ - Generate AI response with optional tool usage and conversation context. - + Generate AI response with support for sequential tool calls (max 2 rounds). + + Uses a loop-based approach where: + - Each iteration is a complete API call + - Tools remain available until max rounds reached + - Messages accumulate across rounds + + Termination conditions: + - (a) MAX_TOOL_ROUNDS reached + - (b) Claude responds without tool_use + - (c) Tool execution fails + Args: query: The user's question or request conversation_history: Previous messages for context tools: Available tools the AI can use tool_manager: Manager to execute tools - + Returns: Generated response as string """ - - # Build system content efficiently - avoid string ops when possible + + # Build system content system_content = ( f"{self.SYSTEM_PROMPT}\n\nPrevious conversation:\n{conversation_history}" - if conversation_history + if conversation_history else self.SYSTEM_PROMPT ) - - # Prepare API call parameters efficiently - api_params = { - **self.base_params, - "messages": [{"role": "user", "content": query}], - "system": system_content - } - - # Add tools if available - if tools: - api_params["tools"] = tools - api_params["tool_choice"] = {"type": "auto"} - - # Get response from Claude - response = self.client.messages.create(**api_params) - - # Handle tool execution if needed - if response.stop_reason == "tool_use" and tool_manager: - return self._handle_tool_execution(response, api_params, tool_manager) - - # Return direct response - return response.content[0].text - - def _handle_tool_execution(self, initial_response, base_params: Dict[str, Any], tool_manager): + + # Initialize message list - accumulates across rounds + messages = [{"role": "user", "content": query}] + + # Main tool-calling loop + for round_num in range(self.MAX_TOOL_ROUNDS): + # Prepare API call parameters + api_params = { + **self.base_params, + "messages": messages, + "system": system_content + } + + # Add tools if available + if tools: + api_params["tools"] = tools + api_params["tool_choice"] = {"type": "auto"} + + # Make API call + response = self.client.messages.create(**api_params) + + # Termination condition (b): no tool use requested + if response.stop_reason != "tool_use": + return self._extract_text_response(response) + + # Tool use requested but no tool_manager - return any text + if not tool_manager: + return self._extract_text_response(response) + + # Execute tools and check for errors - condition (c) + tool_results, has_error = self._execute_tools(response, tool_manager) + + # Append assistant's tool use response to messages + messages.append({"role": "assistant", "content": response.content}) + + # Append tool results as user message + messages.append({"role": "user", "content": tool_results}) + + # If tool error, make final call without tools + if has_error: + return self._get_final_response(messages, system_content) + + # MAX_TOOL_ROUNDS reached - make final API call without tools + return self._get_final_response(messages, system_content) + + def _extract_text_response(self, response) -> str: """ - Handle execution of tool calls and get follow-up response. - + Extract text content from a Claude response. + + Handles responses that may contain mixed content blocks. + Returns the first text block found. + """ + for content_block in response.content: + if hasattr(content_block, 'text'): + return content_block.text + return "" + + def _execute_tools(self, response, tool_manager): + """ + Execute all tool calls from a response and collect results. + Args: - initial_response: The response containing tool use requests - base_params: Base API parameters + response: Anthropic API response containing tool_use blocks tool_manager: Manager to execute tools - + Returns: - Final response text after tool execution + Tuple of (tool_results list for API, has_error boolean) """ - # Start with existing messages - messages = base_params["messages"].copy() - - # Add AI's tool use response - messages.append({"role": "assistant", "content": initial_response.content}) - - # Execute all tool calls and collect results tool_results = [] - for content_block in initial_response.content: + has_error = False + + for content_block in response.content: if content_block.type == "tool_use": - tool_result = tool_manager.execute_tool( - content_block.name, - **content_block.input - ) - - tool_results.append({ - "type": "tool_result", - "tool_use_id": content_block.id, - "content": tool_result - }) - - # Add tool results as single message - if tool_results: - messages.append({"role": "user", "content": tool_results}) - - # Prepare final API call without tools + try: + tool_result = tool_manager.execute_tool( + content_block.name, + **content_block.input + ) + tool_results.append({ + "type": "tool_result", + "tool_use_id": content_block.id, + "content": tool_result + }) + except Exception as e: + tool_results.append({ + "type": "tool_result", + "tool_use_id": content_block.id, + "content": f"Error executing tool: {str(e)}", + "is_error": True + }) + has_error = True + + return tool_results, has_error + + def _get_final_response(self, messages: List[Dict], system_content: str) -> str: + """ + Make a final API call without tools to get a text response. + + Args: + messages: Accumulated conversation messages + system_content: System prompt with optional history + + Returns: + Final text response from Claude + """ final_params = { **self.base_params, "messages": messages, - "system": base_params["system"] + "system": system_content } - - # Get final response + final_response = self.client.messages.create(**final_params) - return final_response.content[0].text \ No newline at end of file + return self._extract_text_response(final_response) \ No newline at end of file diff --git a/backend/app.py b/backend/app.py index 8da9ea96b..ef091db36 100644 --- a/backend/app.py +++ b/backend/app.py @@ -73,6 +73,14 @@ async def query_documents(request: QueryRequest): except Exception as e: raise HTTPException(status_code=500, detail=str(e)) +@app.post("/api/session/new") +async def new_session(request: Optional[dict] = None): + """Create a new chat session, optionally clearing the old one.""" + if request and request.get("session_id"): + rag_system.session_manager.clear_session(request["session_id"]) + new_session_id = rag_system.session_manager.create_session() + return {"session_id": new_session_id} + @app.get("/api/courses", response_model=CourseStats) async def get_course_stats(): """Get course analytics and statistics""" diff --git a/backend/rag_system.py b/backend/rag_system.py index 50d848c8e..443649f0e 100644 --- a/backend/rag_system.py +++ b/backend/rag_system.py @@ -4,7 +4,7 @@ from vector_store import VectorStore from ai_generator import AIGenerator from session_manager import SessionManager -from search_tools import ToolManager, CourseSearchTool +from search_tools import ToolManager, CourseSearchTool, CourseOutlineTool from models import Course, Lesson, CourseChunk class RAGSystem: @@ -23,6 +23,8 @@ def __init__(self, config): self.tool_manager = ToolManager() self.search_tool = CourseSearchTool(self.vector_store) self.tool_manager.register_tool(self.search_tool) + self.outline_tool = CourseOutlineTool(self.vector_store) + self.tool_manager.register_tool(self.outline_tool) def add_course_document(self, file_path: str) -> Tuple[Course, int]: """ diff --git a/backend/search_tools.py b/backend/search_tools.py index 09f35a66c..def379cfb 100644 --- a/backend/search_tools.py +++ b/backend/search_tools.py @@ -122,6 +122,68 @@ def _format_results(self, results: SearchResults) -> str: return "\n\n".join(formatted) + +class CourseOutlineTool(Tool): + """Tool for retrieving course outline including lessons list""" + + def __init__(self, vector_store: VectorStore): + self.store = vector_store + + def get_tool_definition(self) -> Dict[str, Any]: + """Return Anthropic tool definition for this tool""" + return { + "name": "get_course_outline", + "description": "Get the complete outline of a course including its title, link, and all lessons. Use this for questions about course structure, what lessons are available, or course overview.", + "input_schema": { + "type": "object", + "properties": { + "course_name": { + "type": "string", + "description": "Course title to get outline for (partial matches work, e.g. 'MCP', 'Introduction')" + } + }, + "required": ["course_name"] + } + } + + def execute(self, course_name: str) -> str: + """ + Execute the outline tool with given course name. + + Args: + course_name: Course name/title to look up + + Returns: + Formatted course outline or error message + """ + outline = self.store.get_course_outline(course_name) + + if not outline: + return f"No course found matching '{course_name}'" + + return self._format_outline(outline) + + def _format_outline(self, outline: Dict[str, Any]) -> str: + """Format course outline for display""" + formatted = [] + + # Course title and link + formatted.append(f"Course: {outline['title']}") + if outline.get('course_link'): + formatted.append(f"Course Link: {outline['course_link']}") + + # Lessons list + lessons = outline.get('lessons', []) + if lessons: + formatted.append(f"\nLessons ({len(lessons)} total):") + for lesson in lessons: + lesson_num = lesson.get('lesson_number') + lesson_title = lesson.get('lesson_title', 'Untitled') + formatted.append(f" Lesson {lesson_num}: {lesson_title}") + + return "\n".join(formatted) + + class ToolManager: """Manages available tools for the AI""" diff --git a/backend/vector_store.py b/backend/vector_store.py index 390abe71c..1a9629561 100644 --- a/backend/vector_store.py +++ b/backend/vector_store.py @@ -264,4 +264,43 @@ def get_lesson_link(self, course_title: str, lesson_number: int) -> Optional[str return None except Exception as e: print(f"Error getting lesson link: {e}") + + def get_course_outline(self, course_name: str) -> Optional[Dict[str, Any]]: + """ + Get course outline by name with semantic matching. + + Args: + course_name: Course name/title (partial matches work) + + Returns: + Dict with title, course_link, and lessons list, or None if not found + """ + import json + + # Resolve course name to exact title using semantic search + course_title = self._resolve_course_name(course_name) + if not course_title: + return None + + try: + # Get course metadata by ID (title is the ID) + results = self.course_catalog.get(ids=[course_title]) + if results and 'metadatas' in results and results['metadatas']: + metadata = results['metadatas'][0] + + # Parse lessons from JSON + lessons = [] + lessons_json = metadata.get('lessons_json') + if lessons_json: + lessons = json.loads(lessons_json) + + return { + "title": metadata.get('title'), + "course_link": metadata.get('course_link'), + "lessons": lessons + } + return None + except Exception as e: + print(f"Error getting course outline: {e}") + return None \ No newline at end of file diff --git a/frontend/index.html b/frontend/index.html index f8e25a62f..ea4534ac5 100644 --- a/frontend/index.html +++ b/frontend/index.html @@ -7,7 +7,7 @@ Course Materials Assistant - +
@@ -19,6 +19,11 @@

Course Materials Assistant