Jordan Ramos
a99799bf3d
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>
39 lines
1.3 KiB
YAML
39 lines
1.3 KiB
YAML
# Adapter configuration for ajarbot
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# Copy this to adapters.local.yaml and fill in your credentials
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adapters:
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slack:
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enabled: false
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credentials:
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# Get these from https://api.slack.com/apps
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# 1. Create a new app
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# 2. Enable Socket Mode and generate an App-Level Token (xapp-...)
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# 3. Add Bot Token Scopes: chat:write, channels:history, groups:history, im:history, mpim:history
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# 4. Install app to workspace to get Bot User OAuth Token (xoxb-...)
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bot_token: "xoxb-YOUR-BOT-TOKEN"
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app_token: "xapp-YOUR-APP-TOKEN"
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settings:
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# Optional: Auto-react to messages with emoji
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auto_react_emoji: null # e.g., "thinking_face"
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telegram:
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enabled: false
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credentials:
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# Get this from @BotFather on Telegram
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# 1. Message @BotFather
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# 2. Send /newbot
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# 3. Follow prompts to create bot
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# 4. Copy the token
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bot_token: "YOUR-BOT-TOKEN"
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settings:
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# Optional: Restrict bot to specific user IDs
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allowed_users: [] # e.g., [123456789, 987654321]
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# Message parsing mode
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parse_mode: "Markdown" # or "HTML"
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# User mapping (optional)
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# Map platform user IDs to ajarbot usernames for memory system
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user_mapping:
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# slack:U12345: "alice"
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# telegram:123456789: "bob"
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