63 lines
2.4 KiB
TOML
63 lines
2.4 KiB
TOML
# Copy this file to `config.toml` and edit. The path can be overridden with
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# the LORABOT_CONFIG environment variable. Any field can be overridden with
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# environment variables of the form LORABOT_<SECTION>__<KEY>, e.g.
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# LORABOT_LLM__BASE_URL=http://llama:8080/v1
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# LORABOT_MESHCORE__SERIAL_PORT=/dev/ttyACM0
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[logging]
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# DEBUG | INFO | WARNING | ERROR | CRITICAL (case-insensitive).
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# DEBUG adds per-iteration LLM request logs and Tavily request details.
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level = "INFO"
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[meshcore]
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serial_port = "/dev/ttyUSB0"
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baud_rate = 115200
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[llm]
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base_url = "http://localhost:8080/v1"
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api_key = "not-needed"
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model = "gemma-4-E4B"
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system_prompt = "You are a concise assistant on a low-bandwidth mesh radio. Replies must be brief — under 180 bytes."
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temperature = 1.0
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request_timeout_seconds = 60
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[storage]
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sqlite_path = "data/lorabot.db"
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[message]
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# MeshCore MAX_PACKET_PAYLOAD is 184 bytes. Lower this if your text-frame
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# headers further constrain the usable payload on your device.
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max_bytes = 184
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# Per-attempt ACK wait. 0 = trust the device's path-aware suggestion (recommended).
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# Set a positive value only if you need to override that suggestion.
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ack_timeout_seconds = 0
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# How many times to retry a chunk after failure (0 = no retries). Total attempts
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# = send_retries + 1. With send_retries >= 2 the third attempt onwards is sent as
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# a flood broadcast (multi-hop) instead of direct.
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send_retries = 1
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[web]
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# Built-in read-only web UI: stored conversations + live status.
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enabled = true
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host = "127.0.0.1"
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port = 8080
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[advertise]
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# MeshCore companions don't advertise on their own. Lorabot can do it for them
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# at a fixed cadence so the node stays visible on the mesh. Set
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# interval_seconds = 0 to disable auto-advert (the web UI button still works).
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enabled = true
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interval_seconds = 3600
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at_startup = true
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# Flood = multi-hop advert across the mesh. False = zero-hop (neighbors only).
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flood = true
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# LLM tool calling. The weather tool (Open-Meteo, no key) is always on. Tools
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# in this section are optional and only registered when configured. Requires a
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# tool-capable model on the LLM server (Llama 3.1, Qwen, Hermes, …); models
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# without tool support will simply ignore them.
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[tools.tavily]
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# Web search + page extraction via https://tavily.com (free tier available).
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# Leave empty to disable both web_search and fetch_url tools.
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api_key = ""
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