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onju-v2/pyproject.toml

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Add PTT device support, IIR DC offset fix, control API, test script updates PTT devices (--device name=ip:ptt): skip VAD, buffer audio until packets stop, skip LED commands, interrupt in-flight responses on new audio. Auto-detected from multicast "PTT" announcement. HTTP control server on :3002 for runtime device management: POST/GET/DELETE /devices Firmware: replace per-chunk DC offset with IIR filter to eliminate zipper noise at chunk boundaries (m5_echo + onjuino). Protocol: TCP timeouts use actual timeout param, failures are silent for non-critical commands (LED blink). Pipeline: labeled error logging (ASR/LLM/TTS), env var resolution warning, Gemini OpenAI-compatible endpoint support. Test scripts: rewritten to use pipeline modules, delete redundant test_opus_tts.py, add pyproject.toml (replaces requirements.txt).
2026-04-06 21:22:20 +00:00
[project]
name = "onju-voice"
Prepare repo for v2 release: rewrite README, clean up dev scripts, embed ASR server - Rewrite README with v2 features (OpenClaw, M5 Echo, Opus, pluggable backends), fold ARCHITECTURE.md and PIPELINE.md content inline - Remove dev-only test scripts (streaming TTS, UDP recv, qwen3 bench, etc.) - Remove redundant m5_echo/flash.sh and terminal.py (root scripts handle both) - Consolidate credentials to .template naming, remove .example - Embed parakeet-mlx ASR server as optional dependency (pipeline/services/asr_server.py) - Default LLM to Claude Haiku 4.5 via OpenRouter, local example uses Gemma 4 E4B - Update pyproject.toml with metadata, bump to 2.0.0 - Clean up .gitignore
2026-04-08 20:00:15 +00:00
version = "2.0.0"
description = "A hackable AI home assistant platform using the Google Nest Mini form factor"
Add PTT device support, IIR DC offset fix, control API, test script updates PTT devices (--device name=ip:ptt): skip VAD, buffer audio until packets stop, skip LED commands, interrupt in-flight responses on new audio. Auto-detected from multicast "PTT" announcement. HTTP control server on :3002 for runtime device management: POST/GET/DELETE /devices Firmware: replace per-chunk DC offset with IIR filter to eliminate zipper noise at chunk boundaries (m5_echo + onjuino). Protocol: TCP timeouts use actual timeout param, failures are silent for non-critical commands (LED blink). Pipeline: labeled error logging (ASR/LLM/TTS), env var resolution warning, Gemini OpenAI-compatible endpoint support. Test scripts: rewritten to use pipeline modules, delete redundant test_opus_tts.py, add pyproject.toml (replaces requirements.txt).
2026-04-06 21:22:20 +00:00
requires-python = ">=3.11"
Prepare repo for v2 release: rewrite README, clean up dev scripts, embed ASR server - Rewrite README with v2 features (OpenClaw, M5 Echo, Opus, pluggable backends), fold ARCHITECTURE.md and PIPELINE.md content inline - Remove dev-only test scripts (streaming TTS, UDP recv, qwen3 bench, etc.) - Remove redundant m5_echo/flash.sh and terminal.py (root scripts handle both) - Consolidate credentials to .template naming, remove .example - Embed parakeet-mlx ASR server as optional dependency (pipeline/services/asr_server.py) - Default LLM to Claude Haiku 4.5 via OpenRouter, local example uses Gemma 4 E4B - Update pyproject.toml with metadata, bump to 2.0.0 - Clean up .gitignore
2026-04-08 20:00:15 +00:00
license = "MIT"
authors = [{ name = "justLV" }]
readme = "README.md"
Add PTT device support, IIR DC offset fix, control API, test script updates PTT devices (--device name=ip:ptt): skip VAD, buffer audio until packets stop, skip LED commands, interrupt in-flight responses on new audio. Auto-detected from multicast "PTT" announcement. HTTP control server on :3002 for runtime device management: POST/GET/DELETE /devices Firmware: replace per-chunk DC offset with IIR filter to eliminate zipper noise at chunk boundaries (m5_echo + onjuino). Protocol: TCP timeouts use actual timeout param, failures are silent for non-critical commands (LED blink). Pipeline: labeled error logging (ASR/LLM/TTS), env var resolution warning, Gemini OpenAI-compatible endpoint support. Test scripts: rewritten to use pipeline modules, delete redundant test_opus_tts.py, add pyproject.toml (replaces requirements.txt).
2026-04-06 21:22:20 +00:00
dependencies = [
"httpx",
"numpy",
"onnxruntime",
"openai",
"opuslib",
"pydub",
"PyYAML",
"scipy",
"silero-vad",
OpenClaw managed backend, VAD-aware interrupt, firmware fixes - Add managed conversation backend for OpenClaw (x-openclaw-message-channel header, user field for device identity) - Replace aggressive interrupt logic with VAD-aware check: only interrupt on actual speech, not background noise/trailing packets - Fix 0xDD timeout units (was milliseconds, now seconds) and keep callActive alive with 30s hold during LLM+TTS processing - Set callActive on boot for VOX mode so device accepts audio without tap - Mic timeout no longer kills callActive — only double-tap ends the call - LED feedback: scale to configured led_power, let device handle fade-down - Add greeting toggle, TTS/SEND logging, pyserial dep, setuptools config
2026-04-08 03:16:21 +00:00
"pyserial",
Add PTT device support, IIR DC offset fix, control API, test script updates PTT devices (--device name=ip:ptt): skip VAD, buffer audio until packets stop, skip LED commands, interrupt in-flight responses on new audio. Auto-detected from multicast "PTT" announcement. HTTP control server on :3002 for runtime device management: POST/GET/DELETE /devices Firmware: replace per-chunk DC offset with IIR filter to eliminate zipper noise at chunk boundaries (m5_echo + onjuino). Protocol: TCP timeouts use actual timeout param, failures are silent for non-critical commands (LED blink). Pipeline: labeled error logging (ASR/LLM/TTS), env var resolution warning, Gemini OpenAI-compatible endpoint support. Test scripts: rewritten to use pipeline modules, delete redundant test_opus_tts.py, add pyproject.toml (replaces requirements.txt).
2026-04-06 21:22:20 +00:00
]
Prepare repo for v2 release: rewrite README, clean up dev scripts, embed ASR server - Rewrite README with v2 features (OpenClaw, M5 Echo, Opus, pluggable backends), fold ARCHITECTURE.md and PIPELINE.md content inline - Remove dev-only test scripts (streaming TTS, UDP recv, qwen3 bench, etc.) - Remove redundant m5_echo/flash.sh and terminal.py (root scripts handle both) - Consolidate credentials to .template naming, remove .example - Embed parakeet-mlx ASR server as optional dependency (pipeline/services/asr_server.py) - Default LLM to Claude Haiku 4.5 via OpenRouter, local example uses Gemma 4 E4B - Update pyproject.toml with metadata, bump to 2.0.0 - Clean up .gitignore
2026-04-08 20:00:15 +00:00
[project.urls]
Homepage = "https://github.com/justLV/onju-voice"
Repository = "https://github.com/justLV/onju-v2"
OpenClaw managed backend, VAD-aware interrupt, firmware fixes - Add managed conversation backend for OpenClaw (x-openclaw-message-channel header, user field for device identity) - Replace aggressive interrupt logic with VAD-aware check: only interrupt on actual speech, not background noise/trailing packets - Fix 0xDD timeout units (was milliseconds, now seconds) and keep callActive alive with 30s hold during LLM+TTS processing - Set callActive on boot for VOX mode so device accepts audio without tap - Mic timeout no longer kills callActive — only double-tap ends the call - LED feedback: scale to configured led_power, let device handle fade-down - Add greeting toggle, TTS/SEND logging, pyserial dep, setuptools config
2026-04-08 03:16:21 +00:00
[tool.setuptools.packages.find]
include = ["pipeline*"]
Add PTT device support, IIR DC offset fix, control API, test script updates PTT devices (--device name=ip:ptt): skip VAD, buffer audio until packets stop, skip LED commands, interrupt in-flight responses on new audio. Auto-detected from multicast "PTT" announcement. HTTP control server on :3002 for runtime device management: POST/GET/DELETE /devices Firmware: replace per-chunk DC offset with IIR filter to eliminate zipper noise at chunk boundaries (m5_echo + onjuino). Protocol: TCP timeouts use actual timeout param, failures are silent for non-critical commands (LED blink). Pipeline: labeled error logging (ASR/LLM/TTS), env var resolution warning, Gemini OpenAI-compatible endpoint support. Test scripts: rewritten to use pipeline modules, delete redundant test_opus_tts.py, add pyproject.toml (replaces requirements.txt).
2026-04-06 21:22:20 +00:00
[project.optional-dependencies]
Prepare repo for v2 release: rewrite README, clean up dev scripts, embed ASR server - Rewrite README with v2 features (OpenClaw, M5 Echo, Opus, pluggable backends), fold ARCHITECTURE.md and PIPELINE.md content inline - Remove dev-only test scripts (streaming TTS, UDP recv, qwen3 bench, etc.) - Remove redundant m5_echo/flash.sh and terminal.py (root scripts handle both) - Consolidate credentials to .template naming, remove .example - Embed parakeet-mlx ASR server as optional dependency (pipeline/services/asr_server.py) - Default LLM to Claude Haiku 4.5 via OpenRouter, local example uses Gemma 4 E4B - Update pyproject.toml with metadata, bump to 2.0.0 - Clean up .gitignore
2026-04-08 20:00:15 +00:00
asr = ["fastapi", "uvicorn", "parakeet-mlx", "python-multipart"]
Add PTT device support, IIR DC offset fix, control API, test script updates PTT devices (--device name=ip:ptt): skip VAD, buffer audio until packets stop, skip LED commands, interrupt in-flight responses on new audio. Auto-detected from multicast "PTT" announcement. HTTP control server on :3002 for runtime device management: POST/GET/DELETE /devices Firmware: replace per-chunk DC offset with IIR filter to eliminate zipper noise at chunk boundaries (m5_echo + onjuino). Protocol: TCP timeouts use actual timeout param, failures are silent for non-critical commands (LED blink). Pipeline: labeled error logging (ASR/LLM/TTS), env var resolution warning, Gemini OpenAI-compatible endpoint support. Test scripts: rewritten to use pipeline modules, delete redundant test_opus_tts.py, add pyproject.toml (replaces requirements.txt).
2026-04-06 21:22:20 +00:00
tts-local = ["mlx-audio>=0.3.1"]
mic = ["pyaudio"]
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