"""Guide content for the Quizbowl platform."""

GUIDE_MARKDOWN = """
# 🎯 Quizbowl Bot Guide
"""

QUICKSTART_MARKDOWN = """
## Quick Start
1. Choose between Tossup or Bonus mode
2. Design your pipeline
3. Test on example questions
4. Submit for evaluation

## Competition Rules

### 🧠 Tossup Questions
- **Format**: Individual questions progressively revealed. Questions get easier as they are revealed.
- **Scoring**:
  - Correct early buzz: +10 points
  - Incorrect early buzz: -5 points
  - Correct after full read: +10 points
- **Required Outputs**:
  - `answer`: Your predicted answer
  - `confidence`: Score between 0-1
  - `buzzer`: When to attempt answering
    - Configure with confidence threshold (0.0-1.0)
    - Optional token probability threshold for more control
    - Combine thresholds using AND/OR logic (buzz when both/either condition met)

### 🎁 Bonus Questions
- **Format**: 
  - Consists of a `leadin` paragraph that introduces the topic
  - Followed by three related `parts` (A, B, C) that test specific knowledge
  - Each part is worth 10 points
- **Scoring**: +10 points per correct part (max 30)
- **Required Outputs**:
  - `answer`: Your predicted answer
  - `confidence`: Score between 0-1
  - `explanation`: Brief justification for human collaboration
"""

BUILDING_MARKDOWN = """
## Building Your First Pipeline

### 1. Simple Pipeline (Recommended for First Submission)
- Single model step
- Configure:
  - Model selection
  - Temperature (0.0-1.0)
  - System prompt
  - Required outputs

### 2. Using Demo Pipelines
- Load existing demo pipelines as starting points
- Modify configurations:
  - Adjust model parameters
  - Update system prompts
  - Change confidence thresholds
  - Add/remove pipeline steps
- Save modified versions as new pipelines
- Test changes incrementally

### 3. Testing Your Pipeline
1. Select an example question
2. For Tossup:
   - Set buzz threshold (0.5-1.0)
   - Enable early stopping
3. Run and check:
   - Answer accuracy
   - Confidence scores
   - Performance metrics

### 4. Evaluation
- Test on multiple questions
- Monitor:
  - Accuracy
  - Confidence patterns
  - Response times

### 5. Submission
1. Log in to Hugging Face
2. Name your model
3. Add description
4. Submit for evaluation

## Tips for Success
- Start with simple pipeline
- Test thoroughly before submission
- Use appropriate temperature (0.3-0.7 recommended)
- Monitor confidence scores
- Check example submissions

## Need Help?
- Review example submissions
- Check documentation
- Contact support
"""