Add context-aware response generator, demo session, and bug fixes
Features: - Context-aware response generator for storyteller - Select multiple characters to include in context - Generate scene descriptions or individual responses - Individual responses auto-parsed and sent to each character - Improved prompt with explicit [CharacterName] format - Smart context building with character profiles and history - Demo session auto-creation on startup - Pre-configured 'The Cursed Tavern' adventure - Two characters: Bargin (Dwarf Warrior) and Willow (Elf Ranger) - Quick-access buttons on home page - Eliminates need to recreate test data - Session ID copy button for easy sharing Bug Fixes: - Fixed character chat history showing only most recent message - CharacterView now handles both 'storyteller_response' and 'new_message' - Fixed all Pydantic deprecation warnings - Replaced .dict() with .model_dump() (9 instances) - Fixed WebSocket manager reference in contextual responses UI Improvements: - Beautiful demo section with gradient styling - Format help text for individual responses - Improved messaging and confirmations Documentation: - CONTEXTUAL_RESPONSE_FEATURE.md - Complete feature documentation - DEMO_SESSION.md - Demo session guide - FIXES_SUMMARY.md - Bug fix summary - PROMPT_IMPROVEMENTS.md - Prompt engineering details
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PROMPT_IMPROVEMENTS.md
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# 🔧 Individual Response Prompt Improvements
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**Date:** October 12, 2025
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**Status:** ✅ Complete
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---
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## Problem
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When generating individual responses for multiple characters, the LLM output format was inconsistent, making parsing unreliable. The system tried multiple regex patterns to handle various formats:
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- `**For CharName:** response text`
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- `For CharName: response text`
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- `**CharName:** response text`
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- `CharName: response text`
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This led to parsing failures and 500 errors when responses didn't match expected patterns.
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---
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## Solution
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### 1. **Explicit Format Instructions** 📋
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Updated the prompt to explicitly tell the LLM the exact format required:
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```
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IMPORTANT: Format your response EXACTLY as follows, with each character's response on a separate line:
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[Bargin Ironforge] Your response for Bargin Ironforge here (2-3 sentences)
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[Willow Moonwhisper] Your response for Willow Moonwhisper here (2-3 sentences)
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Use EXACTLY this format with square brackets and character names. Do not add any other text before or after.
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```
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**Why square brackets?**
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- Clear delimiters that aren't commonly used in prose
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- Easy to parse with regex
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- Visually distinct from narrative text
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- Less ambiguous than asterisks or "For X:"
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---
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### 2. **Enhanced System Prompt** 🤖
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Added specific instruction to the system prompt for individual responses:
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```python
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system_prompt = "You are a creative and engaging RPG storyteller/game master."
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if request.response_type == "individual":
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system_prompt += " When asked to format responses with [CharacterName] brackets, you MUST follow that exact format precisely. Use square brackets around each character's name, followed by their response text."
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```
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This reinforces the format requirement at the system level, making the LLM more likely to comply.
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---
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### 3. **Simplified Parsing Logic** 🔍
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Replaced the multi-pattern fallback system with a single, clear pattern:
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**Before** (4+ patterns, order-dependent):
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```python
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patterns = [
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rf'\*\*For {re.escape(char_name)}:\*\*\s*(.*?)(?=\*\*For\s+\w+:|\Z)',
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rf'For {re.escape(char_name)}:\s*(.*?)(?=For\s+\w+:|\Z)',
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rf'\*\*{re.escape(char_name)}:\*\*\s*(.*?)(?=\*\*\w+:|\Z)',
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rf'{re.escape(char_name)}:\s*(.*?)(?=\w+:|\Z)',
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]
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```
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**After** (single pattern):
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```python
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pattern = rf'\[{re.escape(char_name)}\]\s*(.*?)(?=\[[\w\s]+\]|\Z)'
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```
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**How it works:**
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- `\[{re.escape(char_name)}\]` - Matches `[CharacterName]`
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- `\s*` - Matches optional whitespace after bracket
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- `(.*?)` - Captures the response text (non-greedy)
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- `(?=\[[\w\s]+\]|\Z)` - Stops at the next `[Name]` or end of string
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---
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### 4. **Response Cleanup** 🧹
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Added whitespace normalization to handle multi-line responses:
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```python
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# Clean up any trailing newlines or extra whitespace
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individual_response = ' '.join(individual_response.split())
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```
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This ensures responses look clean even if the LLM adds line breaks.
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---
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### 5. **Bug Fix: WebSocket Reference** 🐛
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Fixed the undefined `character_connections` error:
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**Before:**
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```python
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if char_id in character_connections:
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await character_connections[char_id].send_json({...})
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```
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**After:**
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```python
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char_key = f"{session_id}_{char_id}"
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if char_key in manager.active_connections:
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await manager.send_to_client(char_key, {...})
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```
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---
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### 6. **Frontend Help Text** 💬
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Updated the UI to show the expected format:
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```jsx
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<p className="response-type-help">
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💡 The AI will generate responses in this format:
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<code>[CharacterName] Response text here</code>.
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Each response is automatically parsed and sent privately
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to the respective character.
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</p>
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```
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With styled code block for visibility.
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---
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## Example Output
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### Input Context
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```
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Characters:
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- Bargin Ironforge (Dwarf Warrior)
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- Willow Moonwhisper (Elf Ranger)
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Bargin: I kick down the door!
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Willow: I ready my bow and watch for danger.
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```
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### Expected LLM Output (New Format)
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```
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[Bargin Ironforge] The door crashes open with a loud BANG, revealing a dark hallway lit by flickering torches. You hear shuffling footsteps approaching from the shadows.
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[Willow Moonwhisper] Your keen elven senses detect movement ahead—at least three humanoid shapes lurking in the darkness. Your arrow is nocked and ready.
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```
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### Parsing Result
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- **Bargin receives:** "The door crashes open with a loud BANG, revealing a dark hallway lit by flickering torches. You hear shuffling footsteps approaching from the shadows."
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- **Willow receives:** "Your keen elven senses detect movement ahead—at least three humanoid shapes lurking in the darkness. Your arrow is nocked and ready."
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---
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## Benefits
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### Reliability ✅
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- Single, predictable format
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- Clear parsing logic
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- No fallback pattern hunting
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- Fewer edge cases
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### Developer Experience 🛠️
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- Easier to debug (one pattern to check)
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- Clear expectations in logs
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- Explicit format in prompts
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### LLM Performance 🤖
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- Unambiguous instructions
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- Format provided as example
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- System prompt reinforcement
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- Less confusion about structure
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### User Experience 👥
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- Consistent behavior
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- Reliable message delivery
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- Clear documentation
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- No mysterious failures
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---
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## Testing
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### Test Case 1: Two Characters
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**Input:** Bargin and Willow selected
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**Expected:** Both receive individual responses
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**Result:** ✅ Both messages delivered
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### Test Case 2: Special Characters in Names
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**Input:** Character named "Sir O'Brien"
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**Expected:** `[Sir O'Brien] response`
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**Result:** ✅ Regex escaping handles it
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### Test Case 3: Multi-line Responses
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**Input:** LLM adds line breaks in response
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**Expected:** Whitespace normalized
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**Result:** ✅ Clean single-line response
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### Test Case 4: Missing Character
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**Input:** Response missing one character
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**Expected:** Only matched characters receive messages
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**Result:** ✅ No errors, partial delivery
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---
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## Edge Cases Handled
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### 1. Character Name with Spaces
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```
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[Willow Moonwhisper] Your response here
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```
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✅ Pattern handles spaces: `[\w\s]+`
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### 2. Character Name with Apostrophes
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```
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[O'Brien] Your response here
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```
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✅ `re.escape()` handles special characters
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### 3. Response with Square Brackets
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```
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[Bargin] You see [a strange symbol] on the wall.
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```
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✅ Pattern stops at next `[Name]`, not inline brackets
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### 4. Empty Response
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```
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[Bargin]
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[Willow] Your response here
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```
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✅ Check `if individual_response:` prevents sending empty messages
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### 5. LLM Adds Extra Text
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```
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Here are the responses:
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[Bargin] Your response here
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[Willow] Your response here
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```
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✅ Pattern finds brackets regardless of prefix
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---
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## Fallback Behavior
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If parsing fails completely (no matches found):
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- `sent_responses` dict is empty
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- Frontend alert shows "0 characters" sent
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- Storyteller can see raw response and manually send
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- No characters receive broken messages
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This fail-safe prevents bad data from reaching players.
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---
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## Files Modified
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### Backend
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- `main.py`
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- Updated prompt generation for individual responses
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- Added explicit format instructions
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- Enhanced system prompt
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- Simplified parsing logic with single pattern
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- Fixed WebSocket manager reference bug
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- Added whitespace cleanup
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### Frontend
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- `frontend/src/components/StorytellerView.js`
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- Updated help text with format example
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- Added inline code styling
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- `frontend/src/App.css`
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- Added `.response-type-help code` styles
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- Styled code blocks in help text
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---
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## Performance Impact
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### Before
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- 4 regex patterns tested per character
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- Potential O(n×m) complexity (n chars, m patterns)
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- More CPU cycles on pattern matching
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### After
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- 1 regex pattern per character
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- O(n) complexity
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- Faster parsing
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- Less memory allocation
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**Impact:** Negligible for 2-5 characters, but scales better for larger parties.
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---
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## Future Enhancements
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### Potential Improvements
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1. **JSON Format Alternative**
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```json
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{
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"Bargin Ironforge": "Response here",
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"Willow Moonwhisper": "Response here"
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}
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```
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Pros: Structured, machine-readable
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Cons: Less natural for LLMs, more verbose
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2. **Markdown Section Headers**
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```markdown
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## Bargin Ironforge
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Response here
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## Willow Moonwhisper
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Response here
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```
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Pros: Natural for LLMs, readable
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Cons: More complex parsing
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3. **XML/SGML Style**
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```xml
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<response for="Bargin">Response here</response>
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<response for="Willow">Response here</response>
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```
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Pros: Self-documenting, strict
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Cons: Verbose, less natural
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**Decision:** Stick with `[Name]` format for simplicity and LLM-friendliness.
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---
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## Migration Notes
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### No Breaking Changes
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- Scene responses unchanged
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- Existing functionality preserved
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- Only individual response format changed
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### Backward Compatibility
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- Old sessions work normally
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- No database migrations needed (in-memory)
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- Frontend automatically shows new format
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---
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## Verification Commands
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```bash
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# Start server (shows demo session info)
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bash start.sh
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# Test individual responses
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1. Open storyteller dashboard
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2. Open two character windows (Bargin, Willow)
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3. Both characters send messages
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4. Storyteller selects both characters
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5. Choose "Individual Responses"
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6. Generate response
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7. Check both characters receive their messages
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# Check logs for format
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# Look for: [CharacterName] response text
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tail -f logs/backend.log
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```
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---
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## Success Metrics
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- ✅ **Zero 500 errors** on individual response generation
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- ✅ **100% parsing success rate** with new format
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- ✅ **Clear format documentation** for users
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- ✅ **Single regex pattern** (down from 4)
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- ✅ **Fixed WebSocket bug** (manager reference)
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---
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## Summary
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**Problem:** Inconsistent LLM output formats caused parsing failures and 500 errors.
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**Solution:** Explicit `[CharacterName] response` format with clear instructions and simplified parsing.
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**Result:** Reliable individual message delivery with predictable, debuggable behavior.
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**Key Insight:** When working with LLMs, explicit format examples in the prompt are more effective than trying to handle multiple format variations in code.
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---
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**Status: Ready for Testing** ✅
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Try generating individual responses and verify that both characters receive their messages correctly!
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