latte
b05fa034a6
- Remove admin.py and search.py cogs - Remove searxng.py service and rate_limiter.py utility - Update bot.py, ai_chat.py, config.py, and ai_service.py - Update documentation and docker-compose.yml
49 lines
1.7 KiB
Markdown
49 lines
1.7 KiB
Markdown
# CLAUDE.md
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This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
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## Build & Run Commands
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```bash
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# Install dependencies
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pip install -r requirements.txt
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# Run the bot (requires .env with DISCORD_TOKEN and AI provider key)
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python -m daemon_boyfriend
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# Run with Docker
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docker-compose up -d
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# Syntax check all Python files
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python -m py_compile src/daemon_boyfriend/**/*.py
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```
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## Architecture
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This is a Discord bot that responds to @mentions with AI-generated responses (multi-provider support).
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### Provider Pattern
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The AI system uses a provider abstraction pattern:
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- `services/providers/base.py` defines `AIProvider` abstract class with `generate()` method
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- `services/providers/openai.py`, `openrouter.py`, `anthropic.py` implement the interface
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- `services/ai_service.py` is the factory that creates the correct provider based on `AI_PROVIDER` env var
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- OpenRouter uses OpenAI's client with a different base URL
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### Cog System
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Discord functionality is in `cogs/`:
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- `ai_chat.py` - `@mention` handler (responds when bot is mentioned)
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Cogs are auto-loaded by `bot.py` from the `cogs/` directory.
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### Configuration
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All config flows through `config.py` using pydantic-settings. The `settings` singleton is created at module load, so env vars must be set before importing.
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### Key Design Decisions
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- `ConversationManager` stores per-user chat history in memory with configurable max length
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- Long AI responses are split via `split_message()` in `ai_chat.py` to respect Discord's 2000 char limit
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- The bot responds only to @mentions via `on_message` listener
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## Environment Variables
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Required: `DISCORD_TOKEN`, plus one of `OPENAI_API_KEY`, `OPENROUTER_API_KEY`, or `ANTHROPIC_API_KEY` depending on `AI_PROVIDER` setting.
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