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# Setup Guide
## Step 1: Create Telegram Bot
1. Open Telegram and message [@BotFather](https://t.me/BotFather)
2. Send `/newbot`
3. Choose a name for your bot
4. Choose a username (must end in `bot`)
5. Copy the bot token (format: `123456:ABC-DEF1234ghIkl-zyx57W2v1u123ew11`)
## Step 2: Get LLM API Key
### Anthropic (Recommended)
1. Go to https://console.anthropic.com
2. Create account / sign in
3. Go to API Keys
4. Create new key
### OpenAI
1. Go to https://platform.openai.com
2. Create account / sign in
3. Go to API Keys
4. Create new key
## Step 3: Deploy to Render
### Option A: One-Click Deploy
1. Fork this repo to your GitHub
2. Log in to Render
3. New → Background Worker
4. Connect your forked repo
5. Render will auto-detect `render.yaml`
6. Add environment variables:
- `TELEGRAM_BOT_TOKEN` - Your bot token
- `ANTHROPIC_API_KEY` - Your API key
7. Create Service
### Option B: Manual Setup
1. Create new Background Worker on Render
2. Connect GitHub repo
3. Settings:
- Runtime: Docker
- Dockerfile: `./Dockerfile`
4. Add environment variables as above
5. Add 10GB disk mount at `/data`
6. Deploy
## Step 4: Connect Telegram
After deployment:
1. In Render logs, look for the pairing code
2. Open Telegram and find your bot
3. Send `/start`
4. The bot will show connection status
## Step 5: Using the Bot
### Basic Chat
Just send any message to the bot.
### Commands
- `/start` - Show help
- `/new` - Start fresh session
- `/stop` - Abort current response
- `/status` - Show bot status
### Media Support
- Send photos → Bot analyzes them
- Send documents → Bot reads them
- Send voice → Bot processes them
## Troubleshooting
### Bot not responding
1. Check Render logs for errors
2. Verify bot token is correct
3. Ensure API key is valid
### Session errors
1. Check `/data` disk is mounted
2. Verify disk has space
### Rate limiting
- Pi handles this automatically
- Responses may be delayed during high load
## Local Development
```bash
# Clone repo
git clone https://github.com/yourusername/pi-telegram-247.git
cd pi-telegram-247
# Setup
./scripts/setup.sh
# Configure
cp .env.example .env
# Edit .env with your keys
# Run
./scripts/run.sh
```
## Architecture Notes
- Pi runs in RPC mode (headless)
- Telegram extension handles bot connection
- Sessions persist in `/data/pi-sessions/`
- Config stored in `/data/pi-config/`
- Long polling (no webhooks needed)
## Cost Estimate
- Render Starter: ~$7/month
- Pi API usage: Depends on usage
- Claude Sonnet 4: ~$3/M input, $15/M output
- Typical usage: $5-20/month

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