Updates to dev productivity app

apps/project-assistant/backend/app/routers/helpers.py

@@ -155,14 +155,21 @@ def image_to_base64(image_path: Path) -> dict:
 
 
 def save_assistant_message(
-    db, project_id: str, project_title: str, content: str, msg_date: datetime
+    db,
+    project_id: str,
+    project_title: str,
+    content: str,
+    version: int,
+    msg_date: datetime,
 ) -> None:
     """Save an assistant response message."""
     db.messages.insert_one(
         {
             "project_id": project_id,
             "project_title": project_title,
+            "user_id": USER_ID,
             "role": "assistant",
+            "version": version,
             "content": content,
             "created_at": msg_date,
         }

apps/project-assistant/backend/app/routers/routes.py

@@ -1,4 +1,3 @@
-import json
 import logging
 from datetime import datetime
 from typing import Optional
@@ -59,21 +58,20 @@ def send_message(
 
     def stream_and_save():
         response_content = ""
-        for chunk in generate_response(conversation, memories=memories):
-            yield json.dumps(chunk) + "\n"
-            if chunk["type"] == "response":
-                response_content += chunk["content"]
+        for text in generate_response(conversation, memories=memories):
+            yield text
+            response_content += text
 
         # Save messages to DB after streaming completes
         if content:
             save_user_message(db, project_id, project_title, content, version, msg_date)
         for path in image_paths:
             save_user_message(db, project_id, project_title, path, version, msg_date)
         save_assistant_message(
-            db, project_id, project_title, response_content, msg_date
+            db, project_id, project_title, response_content, version, msg_date
         )
 
-    return StreamingResponse(stream_and_save(), media_type="application/x-ndjson")
+    return StreamingResponse(stream_and_save(), media_type="text/plain")
 
 
 @router.get("/search")

apps/project-assistant/backend/app/services/anthropic.py

@@ -32,7 +32,7 @@ def extract_memories(user_message: str) -> list[dict]:
         response = client.beta.messages.parse(
             model=ANTHROPIC_MODEL,
             max_tokens=2000,
-            temperature=1,
+            temperature=0,
             betas=["structured-outputs-2025-11-13"],
             system=MEMORY_EXTRACTION_PROMPT,
             messages=[{"role": "user", "content": user_message}],
@@ -50,7 +50,7 @@ def extract_memories(user_message: str) -> list[dict]:
 
 
 def generate_response(messages: list[dict], memories: Optional[list[str]] = None):
-    """Generate a response with extended thinking."""
+    """Generate a streaming response."""
     logger.info(
         f"Generating response using {ANTHROPIC_MODEL} with {len(memories) if memories else 0} memories"
     )
@@ -62,18 +62,9 @@ def generate_response(messages: list[dict], memories: Optional[list[str]] = None
 
     with client.messages.stream(
         model=ANTHROPIC_MODEL,
-        max_tokens=16000,
-        temperature=1,
-        thinking={
-            "type": "enabled",
-            "budget_tokens": 8000,
-        },
+        max_tokens=4096,
+        temperature=0,
         system=system_prompt,
         messages=messages,
     ) as stream:
-        for event in stream:
-            if event.type == "content_block_delta":
-                if hasattr(event.delta, "thinking"):
-                    yield {"type": "thinking", "content": event.delta.thinking}
-                elif hasattr(event.delta, "text"):
-                    yield {"type": "response", "content": event.delta.text}
+        yield from stream.text_stream

apps/project-assistant/backend/app/services/prompts.py

@@ -23,22 +23,24 @@
 ]"""
 
 
-SYSTEM_PROMPT = """You are an AI-powered developer productivity assistant.
+SYSTEM_PROMPT = """You are an AI-powered project-planning assistant.
 Your role is to help developers plan and break down projects into actionable steps.
 
-IMPORTANT: When context about the user's preferences or past decisions is provided, reference them naturally to maintain consistency.
+IMPORTANT: When context about the user's preferences or past decisions is provided, actively reference them in your response.
 
 Guidelines:
-- Help break down projects into smaller, manageable tasks
+- Break down projects into smaller, manageable tasks
 - Ask clarifying questions about requirements, tech stack, and constraints
 - Suggest best practices and potential approaches
-- Identify dependencies and potential blockers early
-- Reference past preferences (e.g., "You typically prefer TypeScript - should we use that here?")
+- Actively reference past preferences
 - Keep responses concise and actionable
 
-Formatting:
-- Use plain text and bullet points only - no headers or titles
-- Keep it conversational and direct
-- Use numbered lists for sequential steps
+STRICT Formatting Rules:
+- NO headers, titles, or section labels
+- NO markdown formatting (no **, #, etc.)
+- Use simple bullet points with dashes (-)
+- Use numbered lists (1. 2. 3.) only for sequential steps
+- Write in plain conversational text
+- Keep paragraphs short
 
-Remember: You're a planning assistant. Help developers think through their projects systematically."""
+Remember, your goal is to assist developers in planning their projects effectively while respecting their established preferences and decisions."""

apps/project-assistant/frontend/src/App.css

@@ -821,61 +821,6 @@
   display: block;
 }
 
-/* Thinking section */
-.thinking-section {
-  margin-bottom: 12px;
-}
-
-.thinking-toggle {
-  display: flex;
-  align-items: center;
-  gap: 6px;
-  padding: 8px 12px;
-  background: var(--mongodb-off-white);
-  border: 1px solid var(--mongodb-gray-light);
-  border-radius: 4px;
-  font-family: inherit;
-  font-size: 13px;
-  color: var(--mongodb-slate);
-  cursor: pointer;
-  transition: all 0.15s ease;
-}
-
-.thinking-toggle:hover {
-  background: var(--mongodb-white);
-  border-color: var(--mongodb-dark-green);
-  color: var(--mongodb-slate);
-}
-
-.thinking-toggle.expanded {
-  border-bottom-left-radius: 0;
-  border-bottom-right-radius: 0;
-  border-bottom-color: transparent;
-}
-
-.thinking-icon {
-  font-size: 10px;
-  transition: transform 0.15s ease;
-}
-
-.thinking-label {
-  font-weight: 500;
-}
-
-.thinking-content {
-  padding: 12px 16px;
-  background: var(--mongodb-off-white);
-  border: 1px solid var(--mongodb-gray-light);
-  border-top: none;
-  border-radius: 0 0 4px 4px;
-  font-size: 13px;
-  line-height: 1.6;
-  color: var(--mongodb-slate);
-  white-space: pre-wrap;
-  max-height: 300px;
-  overflow-y: auto;
-}
-
 /* Date picker modal */
 .date-picker-overlay {
   position: fixed;

apps/project-assistant/frontend/src/App.jsx

@@ -118,43 +118,21 @@ function App() {
       body: formData
     })
 
-    // Read newline-delimited JSON stream
+    // Read text stream
     const reader = res.body.getReader()
     const decoder = new TextDecoder()
-    let buffer = ''
-    let thinkingContent = ''
     let responseContent = ''
 
     while (true) {
       const { done, value } = await reader.read()
       if (done) break
 
-      buffer += decoder.decode(value, { stream: true })
-
-      // Process complete JSON lines
-      const lines = buffer.split('\n')
-      buffer = lines.pop() // Keep incomplete line in buffer
-
-      for (const line of lines) {
-        if (!line.trim()) continue
-        try {
-          const chunk = JSON.parse(line)
-          if (chunk.type === 'thinking') {
-            thinkingContent += chunk.content
-          } else if (chunk.type === 'response') {
-            responseContent += chunk.content
-          }
-
-          // Update message with current state
-          setMessages(prev => prev.map(msg =>
-            msg._id === aiMessageId
-              ? { ...msg, thinking: thinkingContent, content: responseContent }
-              : msg
-          ))
-        } catch (e) {
-          console.error('Failed to parse chunk:', e)
-        }
-      }
+      responseContent += decoder.decode(value, { stream: true })
+      setMessages(prev => prev.map(msg =>
+        msg._id === aiMessageId
+          ? { ...msg, content: responseContent }
+          : msg
+      ))
     }
   }
 

apps/project-assistant/frontend/src/components/Entry.jsx

@@ -8,17 +8,9 @@ function Entry({ messages, onSendMessage, hasActiveProject, activeProject, proje
   const [searchResults, setSearchResults] = useState(null)
   const [isSearching, setIsSearching] = useState(false)
   const [saveStatus, setSaveStatus] = useState(null)
-  const [expandedThinking, setExpandedThinking] = useState({})
   const messagesEndRef = useRef(null)
   const fileInputRef = useRef(null)
 
-  const toggleThinking = (msgId) => {
-    setExpandedThinking(prev => ({
-      ...prev,
-      [msgId]: !prev[msgId]
-    }))
-  }
-
   const handleSaveProject = async () => {
     setSaveStatus('saving')
     try {
@@ -179,26 +171,6 @@ function Entry({ messages, onSendMessage, hasActiveProject, activeProject, proje
               <div className="message-label">
                 {msg.role === 'user' ? 'You' : 'Assistant'}
               </div>
-              {msg.thinking && (
-                <div className="thinking-section">
-                  <button
-                    className={`thinking-toggle ${expandedThinking[msg._id] ? 'expanded' : ''}`}
-                    onClick={() => toggleThinking(msg._id)}
-                  >
-                    <span className="thinking-icon">
-                      {expandedThinking[msg._id] ? '▼' : '▶'}
-                    </span>
-                    <span className="thinking-label">
-                      {expandedThinking[msg._id] ? 'Thinking' : 'Show thinking'}
-                    </span>
-                  </button>
-                  {expandedThinking[msg._id] && (
-                    <div className="thinking-content">
-                      {msg.thinking}
-                    </div>
-                  )}
-                </div>
-              )}
               {msg.content && (
                 <div className="message-text">
                   <ReactMarkdown>{msg.content}</ReactMarkdown>