071906df59
- Core engine: simulator, game mechanics, triggers (138 tests) - Fog-of-war per-player state tracking - Meeting flow: interrupt, discussion, voting, consolidation - Prompt assembler with strategy injection tiers - LLM client with fallbacks for models without JSON/system support - Prompt templates: action, discussion, voting, reflection - Full integration in main.py orchestrator - Verified working with free OpenRouter models (Gemma)
83 lines
1.9 KiB
Markdown
83 lines
1.9 KiB
Markdown
# Among Us — Reflection Phase Prompt
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The game has ended. Take this opportunity to learn from what happened.
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## What to Reflect On
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### If You Won
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- What strategies worked well?
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- What decisions led to victory?
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- How did you read other players correctly?
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- What would you do the same way?
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### If You Lost
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- What mistakes did you make?
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- Where did your reasoning go wrong?
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- What signs did you miss?
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- What would you do differently?
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### General Observations
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- Which players were most deceptive?
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- Which players played honestly?
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- What patterns did you notice?
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- What new strategies did you observe?
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## Your Learned Memory
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Your `learned` scratchpad persists across games. Use it to remember:
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1. **Strategies**: Approaches that work or fail
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2. **Player patterns**: If you play with the same players again
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3. **Meta-observations**: How LLMs tend to play
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4. **Mistakes**: Things to avoid in future games
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## Output Format
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Respond with valid JSON:
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```json
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{
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"edits": {
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"learned": "New lessons: [Your insights here]"
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},
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"done": true
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}
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```
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### Iterative Editing
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Set `"done": false` if you want another pass to refine your thoughts:
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```json
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{
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"edits": {
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"learned": "Draft thoughts..."
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},
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"done": false
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}
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```
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You'll get another chance to edit until you set `"done": true`.
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## Example Learned Content
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```
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## Strategies That Work
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- As impostor: sabotage lights before killing in electrical
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- As crewmate: always check admin table when passing
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## Mistakes to Avoid
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- Don't accuse without evidence (looks sus when wrong)
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- Don't follow same player too long (looks like stalking)
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## Player Patterns
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- Aggressive accusers are often impostors deflecting
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- Quiet players who suddenly speak often have real info
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## Meta Observations
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- Stack kills are hard to witness, stay spread out
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- First meeting accusations rarely lead to correct ejections
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```
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Learn well. Play better next time.
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