✨ Set up Copilot instructions (#63)

Co-authored-by: TheLovinator1 <4153203+TheLovinator1@users.noreply.github.com>
Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>

.github/copilot-instructions.md

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+# Copilot Instructions for ANewDawn
+
+## Project Overview
+
+ANewDawn is a Discord bot written in Python 3.13+ using the discord.py library and Pydantic AI for AI-powered chat capabilities. The bot includes features such as:
+
+- AI-powered chat responses using OpenAI and Grok models
+- Conversation memory with reset/undo functionality
+- Image enhancement using OpenCV
+- Web search integration via Ollama
+- Slash commands and context menus
+
+## Development Environment
+
+- **Python**: 3.13 or higher required
+- **Package Manager**: Use `uv` for dependency management (see `pyproject.toml`)
+- **Docker**: The project uses Docker for deployment (see `Dockerfile` and `docker-compose.yml`)
+- **Environment Variables**: Copy `.env.example` to `.env` and fill in required tokens
+
+## Code Style and Conventions
+
+### Linting and Formatting
+
+This project uses **Ruff** for linting and formatting with strict settings:
+
+- All rules enabled (`lint.select = ["ALL"]`)
+- Preview features enabled
+- Auto-fix enabled
+- Line length: 160 characters
+- Google-style docstrings required
+
+Run linting:
+```bash
+ruff check --exit-non-zero-on-fix --verbose
+```
+
+Run formatting check:
+```bash
+ruff format --check --verbose
+```
+
+### Python Conventions
+
+- Use `from __future__ import annotations` at the top of all files (automatically added by Ruff)
+- Use type hints for all function parameters and return types
+- Follow Google docstring convention
+- Use `logging` module for logging, not print statements
+- Prefer explicit imports over wildcard imports
+
+### Testing
+
+- Tests use pytest
+- Test files should be named `*_test.py` or `test_*.py`
+- Run tests with: `pytest`
+
+## Project Structure
+
+- `main.py` - Main bot application with all commands and event handlers
+- `pyproject.toml` - Project configuration and dependencies
+- `Dockerfile` / `docker-compose.yml` - Container configuration
+- `.github/workflows/` - CI/CD workflows
+
+## Key Components
+
+### Bot Client
+
+The main bot client is `LoviBotClient` which extends `discord.Client`. It handles:
+- Message events (`on_message`)
+- Slash commands (`/ask`, `/grok`, `/reset`, `/undo`)
+- Context menus (image enhancement)
+
+### AI Integration
+
+- `chatgpt_agent` - Pydantic AI agent using OpenAI
+- `grok_it()` - Function for Grok model responses
+- Message history is stored in `recent_messages` dict per channel
+
+### Memory Management
+
+- `add_message_to_memory()` - Store messages for context
+- `reset_memory()` - Clear conversation history
+- `undo_reset()` - Restore previous state
+
+## CI/CD
+
+The GitHub Actions workflow (`.github/workflows/docker-publish.yml`) runs:
+1. Ruff linting and format check
+2. Dockerfile validation
+3. Docker image build and push to GitHub Container Registry
+
+## Common Tasks
+
+### Adding a New Slash Command
+
+1. Add the command function with `@client.tree.command()` decorator
+2. Include `@app_commands.allowed_installs()` and `@app_commands.allowed_contexts()` decorators
+3. Use `await interaction.response.defer()` for long-running operations
+4. Check user authorization with `get_allowed_users()`
+
+### Adding a New AI Instruction
+
+1. Create a function decorated with `@chatgpt_agent.instructions`
+2. The function should return a string with the instruction content
+3. Use `RunContext[BotDependencies]` parameter to access dependencies
+
+### Modifying Image Enhancement
+
+Image enhancement functions (`enhance_image1`, `enhance_image2`, `enhance_image3`) use OpenCV. Each returns WebP-encoded bytes.