Features: - Multi-platform bot (Slack, Telegram) - Memory system with SQLite FTS - Tool use capabilities (file ops, commands) - Scheduled tasks system - Dynamic model switching (/sonnet, /haiku) - Prompt caching for cost optimization Optimizations: - Default to Haiku 4.5 (12x cheaper) - Reduced context: 3 messages, 2 memory results - Optimized SOUL.md (48% smaller) - Automatic caching when using Sonnet (90% savings) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
60 lines
1.6 KiB
Markdown
60 lines
1.6 KiB
Markdown
# Ajarbot Setup Guide
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## Quick Start
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1. **Clone the repository**
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```bash
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git clone https://vulcan.apophisnetworking.net/jramos/ajarbot.git
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cd ajarbot
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```
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2. **Set up Python environment**
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```bash
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python -m venv venv
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venv\Scripts\activate # Windows
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pip install -r requirements.txt
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```
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3. **Configure credentials**
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```bash
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# Copy example files
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copy .env.example .env
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copy config\scheduled_tasks.example.yaml config\scheduled_tasks.yaml
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copy config\adapters.yaml config\adapters.local.yaml
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```
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4. **Add your API keys**
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- Edit `.env` and add your `ANTHROPIC_API_KEY`
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- Edit `config\adapters.local.yaml` with your Slack/Telegram tokens
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- Edit `config\scheduled_tasks.yaml` with your user/channel IDs
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5. **Run the bot**
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```bash
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python bot_runner.py
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```
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## Important Files (NOT in Git)
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These files contain your secrets and are ignored by git:
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- `.env` - Your API keys
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- `config/adapters.local.yaml` - Your bot tokens
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- `config/scheduled_tasks.yaml` - Your user IDs
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- `memory_workspace/memory_index.db` - Your conversation history
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- `memory_workspace/memory/*.md` - Your daily logs
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## Model Switching Commands
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Send these commands to your bot:
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- `/haiku` - Switch to Haiku (cheap, fast)
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- `/sonnet` - Switch to Sonnet (smart, caching enabled)
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- `/status` - Check current model and settings
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## Cost Optimization
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- Default model: Haiku 4.5 (12x cheaper than Sonnet)
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- Prompt caching: Automatic when using Sonnet (90% savings)
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- Context optimized: 3 messages, 2 memory results
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- Max tool iterations: 5
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See [README.md](README.md) for full documentation.
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