pierreandLetta Code
2b2235ff86
- overlay.zig: frameless translucent panel (fixed bg + rounded corners, only bubbles scroll), drag handle, hover-to-full-opacity, top-right spawn - chat layout: per-message QLabel bubbles (user purple / agent green / tool steps grey mono), transcript retained across turns, End-conversation resets - agent reply streams into its own growing bubble (re-render per chunk) - basic markdown in all messages: **bold**, *italic*, `code`, HTML-escaped - tool steps truncated to 90 chars, click to expand/collapse - polite autoscroll: pins to bottom unless user scrolled up - letta.zig: streamInfer() — --output-format stream-json, per-event callback (tool calls, returns, reply chunks), full reply still returned for TTS - whisper: --language auto (no more hardcoded English) - fix: stderr_log leak crashing Quit via debug allocator 👾 Generated with [Letta Code](https://letta.com) Co-Authored-By: Letta Code <noreply@letta.com>
inferon
Voice interface daemon for Letta Code agents. Lives in your system tray; click to talk, click to send — your speech is transcribed, sent to an agent, and the reply is spoken back.
name: inference + infernal + inferon (a particle), with symbolic inference planned for later.
Pipeline
tray click → pw-record (16kHz mono WAV)
→ whisper.cpp server (spawned & owned by inferon, :50153)
→ letta CLI (agent conversation, multi-turn)
→ MeloTTS (melo_server.py subprocess, British English voice)
→ pw-play
All backends are subprocesses owned by inferon: they die when it dies (tray quit, SIGINT, SIGTERM — signal handlers included).
Requirements
- Zig 0.16
- Qt 6 (qt6-base) + GCC toolchain
- PipeWire (
pw-record,pw-play) - whisper.cpp built with
whisper-server(defaults expect~/Projects/whisper.cpp, large-v3-turbo q5_0) lettaCLI on PATH, logged in- Python 3.11 (via uv) for MeloTTS
Setup
./setup.sh # clones MeloTTS, builds venv, downloads checkpoint
zig build
zig-out/bin/inferon
Paths (whisper binary/model, MeloTTS root, agent ID) are constants at the top of src/whisper.zig, src/melo.zig, scripts/melo_server.py, and src/main.zig.
Usage
- Left-click: start / stop recording. After you stop, the pipeline runs: transcribe → agent → spoken reply → idle.
- Right-click → End conversation / Quit: menu.
- Tray dot color = state: grey idle · red recording · orange transcribing · blue thinking · green speaking · magenta backend error.
Temp audio lives in /tmp/inferon/ and is cleaned up as it's consumed (logs stay).