"""Documentation: Usage Guide"""

# Usage Guide - Burme-Coder-Max

## Quick Start

### Ask a Question

```bash
burme-coder ask "Python decorator hta ya py"
```

### Interactive Mode

```bash
burme-coder interactive
```

### Train Agent

```bash
burme-coder train --data ./data/trajectories
```

## CLI Commands

### `ask` - Ask a single question

```bash
burme-coder ask [INSTRUCTION] [OPTIONS]

Options:
  --model TEXT       AI model to use (default: gpt-4)
  --verbose         Show detailed output
  --output, -o      Save response to file
```

### `interactive` - Start chat mode

```bash
burme-coder interactive
```

Interactive commands:
- `exit` - Quit
- `clear` - Clear history
- `help` - Show help
- `history` - Show conversation history

### `train` - Train on trajectories

```bash
burme-coder train [OPTIONS]

Options:
  --data TEXT      Training data directory (default: ./data/trajectories)
  --epochs INT     Number of epochs (default: 10)
  --batch-size INT Batch size (default: 4)
```

### `eval` - Evaluate performance

```bash
burme-coder eval --data ./data/trajectories
```

## Python API

### Import and Use Agent

```python
from burme_coder.core import CoderAgent

agent = CoderAgent(model="gpt-4")
response = agent.generate_response("Python list sorting hta ya")

print(response["response"])
```

### Use Animations

```python
from burme_coder.animations import Spinner, ProgressBar

with Spinner("Loading"):
    do_something()

for i in ProgressBar(range(100)):
    process(i)
```

### Use Thanking System

```python
from burme_coder.ui.thanking import ThankYou

ThankYou.show()
```

## Configuration

Edit `.env` file:

```bash
# API Keys
OPENAI_API_KEY=sk-your-key-here

# Animation Settings
ANIMATION_SPEED=0.05
ANIMATION_COLOR=true

# Cache Settings
CACHE_DIR=./data/cache
CACHE_TTL=3600
```

## Knowledge Base

Search local knowledge:

```python
from burme_coder.knowledge import LocalKB

kb = LocalKB()
results = kb.search("python decorators")

for result in results:
    print(result["snippet"])
```

Update from web:

```python
from burme_coder.knowledge import WebUpdater

updater = WebUpdater()
updater.update_markdown_files("./data/knowledge/skills")
```

## Examples

See `examples/` directory for more examples:

- `demo_animation.py` - Animation demonstrations
- `demo_thanking.py` - Thanking system examples
- `demo_skill_query.py` - Knowledge base queries