30 lines
1.1 KiB
Markdown
30 lines
1.1 KiB
Markdown
# meshbot
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Bridges a [MeshCore](https://meshcore.io) companion radio to any OpenAI-compatible LLM endpoint
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(e.g. `llama-server`, vLLM, Ollama). Listens for direct messages on the device, runs each
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conversation through the LLM with full per-sender history stored in SQLite, and replies back
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over the mesh — trimmed to the MeshCore packet payload limit.
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## Quick start
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```sh
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python -m venv .venv && source .venv/bin/activate
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pip install -e .
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cp config.example.toml config.toml
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# edit serial_port and [llm] in config.toml
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python -m meshbot
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```
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Config file path defaults to `./config.toml` and can be overridden with `MESHBOT_CONFIG`.
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Any field can be overridden via env vars, e.g. `MESHBOT_LLM__API_KEY=sk-...`.
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## Layout
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- `src/meshbot/bot.py` — connect, subscribe to `CONTACT_MSG_RECV`, dispatch each DM.
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- `src/meshbot/db.py` — SQLite schema and per-conversation repo functions.
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- `src/meshbot/llm.py` — `AsyncOpenAI` wrapper.
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- `src/meshbot/messages.py` — UTF-8-safe byte-length trimming.
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- `src/meshbot/config.py` — TOML + env-var settings (pydantic-settings).
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