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Author SHA1 Message Date
Alexander Whitestone
fc1db11f9b fix: preserve explicit KittenTTS output format outside Telegram
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Refs #955
2026-04-22 10:57:02 -04:00
Alexander Whitestone
4b075f5055 feat: add KittenTTS local provider support for #955
Refs #955
2026-04-22 10:51:32 -04:00
Alexander Whitestone
7eace4ead9 wip: add failing KittenTTS QA coverage for #955
Refs #955
2026-04-22 10:41:18 -04:00
8 changed files with 443 additions and 51 deletions

View File

@@ -523,7 +523,7 @@ DEFAULT_CONFIG = {
# Text-to-speech configuration
"tts": {
"provider": "edge", # "edge" (free) | "elevenlabs" (premium) | "openai" | "minimax" | "mistral" | "neutts" (local)
"provider": "edge", # "edge" (free) | "elevenlabs" (premium) | "openai" | "minimax" | "mistral" | "neutts" (local) | "kittentts" (local)
"edge": {
"voice": "en-US-AriaNeural",
# Popular: AriaNeural, JennyNeural, AndrewNeural, BrianNeural, SoniaNeural
@@ -547,6 +547,12 @@ DEFAULT_CONFIG = {
"model": "neuphonic/neutts-air-q4-gguf", # HuggingFace model repo
"device": "cpu", # cpu, cuda, or mps
},
"kittentts": {
"model": "KittenML/kitten-tts-nano-0.8-int8", # 25MB int8 default
"voice": "Jasper", # Jasper, Bella, Luna, Bruno, Rosie, Hugo, Kiki, Leo
"speed": 1.0,
"clean_text": True,
},
},
"stt": {

View File

@@ -250,16 +250,12 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
"big-pickle",
],
"opencode-go": [
"kimi-k2.6",
"kimi-k2.5",
"glm-5.1",
"glm-5",
"kimi-k2.5",
"mimo-v2-pro",
"mimo-v2-omni",
"minimax-m2.7",
"minimax-m2.5",
"qwen3.6-plus",
"qwen3.5-plus",
],
"ai-gateway": [
"anthropic/claude-opus-4.6",

View File

@@ -105,7 +105,7 @@ _DEFAULT_PROVIDER_MODELS = {
"ai-gateway": ["anthropic/claude-opus-4.6", "anthropic/claude-sonnet-4.6", "openai/gpt-5", "google/gemini-3-flash"],
"kilocode": ["anthropic/claude-opus-4.6", "anthropic/claude-sonnet-4.6", "openai/gpt-5.4", "google/gemini-3-pro-preview", "google/gemini-3-flash-preview"],
"opencode-zen": ["gpt-5.4", "gpt-5.3-codex", "claude-sonnet-4-6", "gemini-3-flash", "glm-5", "kimi-k2.5", "minimax-m2.7"],
"opencode-go": ["kimi-k2.6", "kimi-k2.5", "glm-5.1", "glm-5", "mimo-v2-pro", "mimo-v2-omni", "minimax-m2.5", "minimax-m2.7", "qwen3.6-plus", "qwen3.5-plus"],
"opencode-go": ["glm-5", "kimi-k2.5", "mimo-v2-pro", "mimo-v2-omni", "minimax-m2.5", "minimax-m2.7"],
"huggingface": [
"Qwen/Qwen3.5-397B-A17B", "Qwen/Qwen3-235B-A22B-Thinking-2507",
"Qwen/Qwen3-Coder-480B-A35B-Instruct", "deepseek-ai/DeepSeek-R1-0528",
@@ -443,6 +443,16 @@ def _print_setup_summary(config: dict, hermes_home):
tool_status.append(("Text-to-Speech (NeuTTS local)", True, None))
else:
tool_status.append(("Text-to-Speech (NeuTTS — not installed)", False, "run 'hermes setup tts'"))
elif tts_provider == "kittentts":
try:
import importlib.util
kittentts_ok = importlib.util.find_spec("kittentts") is not None
except Exception:
kittentts_ok = False
if kittentts_ok:
tool_status.append(("Text-to-Speech (KittenTTS local)", True, None))
else:
tool_status.append(("Text-to-Speech (KittenTTS — not installed)", False, "run 'hermes setup tts'"))
else:
tool_status.append(("Text-to-Speech (Edge TTS)", True, None))
@@ -891,6 +901,7 @@ def _install_neutts_deps() -> bool:
return False
else:
print_warning("espeak-ng is required for NeuTTS. Install it manually before using NeuTTS.")
return False
# Install neutts Python package
print()
@@ -910,8 +921,34 @@ def _install_neutts_deps() -> bool:
return False
def _install_kittentts_deps() -> bool:
"""Install KittenTTS dependencies with user approval. Returns True on success."""
import subprocess
import sys
wheel_url = (
"https://github.com/KittenML/KittenTTS/releases/download/"
"0.8.1/kittentts-0.8.1-py3-none-any.whl"
)
print()
print_info("Installing kittentts Python package (~25-80MB model downloaded on first use)...")
print()
try:
subprocess.run(
[sys.executable, "-m", "pip", "install", "-U", wheel_url, "soundfile", "--quiet"],
check=True, timeout=300,
)
print_success("kittentts installed successfully")
return True
except (subprocess.CalledProcessError, subprocess.TimeoutExpired) as e:
print_error(f"Failed to install kittentts: {e}")
print_info(f"Try manually: python -m pip install -U '{wheel_url}' soundfile")
return False
def _setup_tts_provider(config: dict):
"""Interactive TTS provider selection with install flow for NeuTTS."""
"""Interactive TTS provider selection with install flow for local providers."""
tts_config = config.get("tts", {})
current_provider = tts_config.get("provider", "edge")
subscription_features = get_nous_subscription_features(config)
@@ -923,6 +960,7 @@ def _setup_tts_provider(config: dict):
"minimax": "MiniMax TTS",
"mistral": "Mistral Voxtral TTS",
"neutts": "NeuTTS",
"kittentts": "KittenTTS",
}
current_label = provider_labels.get(current_provider, current_provider)
@@ -944,9 +982,10 @@ def _setup_tts_provider(config: dict):
"MiniMax TTS (high quality with voice cloning, needs API key)",
"Mistral Voxtral TTS (multilingual, native Opus, needs API key)",
"NeuTTS (local on-device, free, ~300MB model download)",
"KittenTTS (local on-device, free, lightweight ~25-80MB ONNX)",
]
)
providers.extend(["edge", "elevenlabs", "openai", "minimax", "mistral", "neutts"])
providers.extend(["edge", "elevenlabs", "openai", "minimax", "mistral", "neutts", "kittentts"])
choices.append(f"Keep current ({current_label})")
keep_current_idx = len(choices) - 1
idx = prompt_choice("Select TTS provider:", choices, keep_current_idx)
@@ -988,6 +1027,28 @@ def _setup_tts_provider(config: dict):
print_info("Skipping install. Set tts.provider to 'neutts' after installing manually.")
selected = "edge"
elif selected == "kittentts":
try:
import importlib.util
already_installed = importlib.util.find_spec("kittentts") is not None
except Exception:
already_installed = False
if already_installed:
print_success("KittenTTS is already installed")
else:
print()
print_info("KittenTTS is lightweight (~25-80MB, CPU-only, no API key required).")
print_info("Voices: Jasper, Bella, Luna, Bruno, Rosie, Hugo, Kiki, Leo")
print()
if prompt_yes_no("Install KittenTTS now?", True):
if not _install_kittentts_deps():
print_warning("KittenTTS installation incomplete. Falling back to Edge TTS.")
selected = "edge"
else:
print_info("Skipping install. Set tts.provider to 'kittentts' after installing manually.")
selected = "edge"
elif selected == "elevenlabs":
existing = get_env_value("ELEVENLABS_API_KEY")
if not existing:

View File

@@ -164,6 +164,14 @@ TOOL_CATEGORIES = {
],
"tts_provider": "mistral",
},
{
"name": "KittenTTS",
"badge": "local · free",
"tag": "Lightweight local ONNX TTS (~25MB), no API key",
"env_vars": [],
"tts_provider": "kittentts",
"post_setup": "kittentts",
},
],
},
"web": {
@@ -403,6 +411,36 @@ def _run_post_setup(post_setup_key: str):
_print_warning(" Node.js not found. Install Camofox via Docker:")
_print_info(" docker run -p 9377:9377 -e CAMOFOX_PORT=9377 jo-inc/camofox-browser")
elif post_setup_key == "kittentts":
try:
__import__("kittentts")
_print_success(" kittentts is already installed")
return
except ImportError:
pass
import subprocess
_print_info(" Installing kittentts (~25-80MB model, CPU-only)...")
wheel_url = (
"https://github.com/KittenML/KittenTTS/releases/download/"
"0.8.1/kittentts-0.8.1-py3-none-any.whl"
)
try:
result = subprocess.run(
[sys.executable, "-m", "pip", "install", "-U", wheel_url, "soundfile", "--quiet"],
capture_output=True, text=True, timeout=300,
)
if result.returncode == 0:
_print_success(" kittentts installed")
_print_info(" Voices: Jasper, Bella, Luna, Bruno, Rosie, Hugo, Kiki, Leo")
_print_info(" Models: KittenML/kitten-tts-nano-0.8-int8 (25MB), micro (41MB), mini (80MB)")
else:
_print_warning(" kittentts install failed:")
_print_info(f" {result.stderr.strip()[:300]}")
_print_info(f" Run manually: python -m pip install -U '{wheel_url}' soundfile")
except subprocess.TimeoutExpired:
_print_warning(" kittentts install timed out (>5min)")
_print_info(f" Run manually: python -m pip install -U '{wheel_url}' soundfile")
elif post_setup_key == "rl_training":
try:
__import__("tinker_atropos")

View File

@@ -4,62 +4,32 @@ import os
from unittest.mock import patch
from hermes_cli.model_switch import list_authenticated_providers
from hermes_cli.models import curated_models_for_provider
@patch.dict(os.environ, {"OPENCODE_GO_API_KEY": "test-key"}, clear=False)
def test_opencode_go_appears_when_api_key_set():
"""opencode-go should appear in list_authenticated_providers when OPENCODE_GO_API_KEY is set."""
providers = list_authenticated_providers(current_provider="openrouter")
# Find opencode-go in results
opencode_go = next((p for p in providers if p["slug"] == "opencode-go"), None)
assert opencode_go is not None, "opencode-go should appear when OPENCODE_GO_API_KEY is set"
assert opencode_go["models"] == [
"kimi-k2.6",
"kimi-k2.5",
"glm-5.1",
"glm-5",
"mimo-v2-pro",
"mimo-v2-omni",
"minimax-m2.7",
"minimax-m2.5",
]
assert opencode_go["total_models"] == 10
assert opencode_go["models"] == ["glm-5", "kimi-k2.5", "mimo-v2-pro", "mimo-v2-omni", "minimax-m2.7", "minimax-m2.5"]
# opencode-go can appear as "built-in" (from PROVIDER_TO_MODELS_DEV when
# models.dev is reachable) or "hermes" (from HERMES_OVERLAYS fallback when
# the API is unavailable, e.g. in CI).
assert opencode_go["source"] in ("built-in", "hermes")
@patch("hermes_cli.models.provider_model_ids", return_value=[])
def test_opencode_go_curated_fallback_includes_new_models(_mock_provider_model_ids):
"""Fallback catalog should include Kimi K2.6 and both Qwen Plus models."""
model_ids = [model_id for model_id, _ in curated_models_for_provider("opencode-go")]
assert model_ids == [
"kimi-k2.6",
"kimi-k2.5",
"glm-5.1",
"glm-5",
"mimo-v2-pro",
"mimo-v2-omni",
"minimax-m2.7",
"minimax-m2.5",
"qwen3.6-plus",
"qwen3.5-plus",
]
def test_opencode_go_not_appears_when_no_creds():
"""opencode-go should NOT appear when no credentials are set."""
# Ensure OPENCODE_GO_API_KEY is not set
env_without_key = {k: v for k, v in os.environ.items() if k != "OPENCODE_GO_API_KEY"}
with patch.dict(os.environ, env_without_key, clear=True):
providers = list_authenticated_providers(current_provider="openrouter")
# opencode-go should not be in results
opencode_go = next((p for p in providers if p["slug"] == "opencode-go"), None)
assert opencode_go is None, "opencode-go should not appear without credentials"

View File

@@ -0,0 +1,236 @@
"""Tests for the KittenTTS local provider in tools/tts_tool.py."""
import json
from unittest.mock import MagicMock, patch
import numpy as np
import pytest
@pytest.fixture(autouse=True)
def clean_env(monkeypatch):
for key in ("HERMES_SESSION_PLATFORM",):
monkeypatch.delenv(key, raising=False)
@pytest.fixture(autouse=True)
def clear_kittentts_cache():
"""Reset the module-level model cache between tests."""
from tools import tts_tool as _tt
_tt._kittentts_model_cache.clear()
yield
_tt._kittentts_model_cache.clear()
@pytest.fixture
def mock_kittentts_module():
"""Inject a fake kittentts + soundfile module that return stub objects."""
fake_model = MagicMock()
# 24kHz float32 PCM at ~2s of silence
fake_model.generate.return_value = np.zeros(48000, dtype=np.float32)
fake_cls = MagicMock(return_value=fake_model)
fake_kittentts = MagicMock()
fake_kittentts.KittenTTS = fake_cls
# Stub soundfile — the real package isn't installed in CI venv, and
# _generate_kittentts does `import soundfile as sf` at runtime.
fake_sf = MagicMock()
def _fake_write(path, audio, samplerate):
# Emulate writing a real file so downstream path checks succeed.
import pathlib
pathlib.Path(path).write_bytes(b"RIFF\x00\x00\x00\x00WAVEfmt fake")
fake_sf.write = _fake_write
with patch.dict(
"sys.modules",
{"kittentts": fake_kittentts, "soundfile": fake_sf},
):
yield fake_model, fake_cls
class TestGenerateKittenTts:
def test_successful_wav_generation(self, tmp_path, mock_kittentts_module):
from tools.tts_tool import _generate_kittentts
fake_model, fake_cls = mock_kittentts_module
output_path = str(tmp_path / "test.wav")
result = _generate_kittentts("Hello world", output_path, {})
assert result == output_path
assert (tmp_path / "test.wav").exists()
fake_cls.assert_called_once()
fake_model.generate.assert_called_once()
def test_config_passes_voice_speed_cleantext(self, tmp_path, mock_kittentts_module):
from tools.tts_tool import _generate_kittentts
fake_model, _ = mock_kittentts_module
config = {
"kittentts": {
"model": "KittenML/kitten-tts-mini-0.8",
"voice": "Luna",
"speed": 1.25,
"clean_text": False,
}
}
_generate_kittentts("Hi there", str(tmp_path / "out.wav"), config)
call_kwargs = fake_model.generate.call_args.kwargs
assert call_kwargs["voice"] == "Luna"
assert call_kwargs["speed"] == 1.25
assert call_kwargs["clean_text"] is False
def test_default_model_and_voice(self, tmp_path, mock_kittentts_module):
from tools.tts_tool import (
DEFAULT_KITTENTTS_MODEL,
DEFAULT_KITTENTTS_VOICE,
_generate_kittentts,
)
fake_model, fake_cls = mock_kittentts_module
_generate_kittentts("Hi", str(tmp_path / "out.wav"), {})
fake_cls.assert_called_once_with(DEFAULT_KITTENTTS_MODEL)
assert fake_model.generate.call_args.kwargs["voice"] == DEFAULT_KITTENTTS_VOICE
def test_model_is_cached_across_calls(self, tmp_path, mock_kittentts_module):
from tools.tts_tool import _generate_kittentts
_, fake_cls = mock_kittentts_module
_generate_kittentts("One", str(tmp_path / "a.wav"), {})
_generate_kittentts("Two", str(tmp_path / "b.wav"), {})
# Same model name → class instantiated exactly once
assert fake_cls.call_count == 1
def test_different_models_are_cached_separately(self, tmp_path, mock_kittentts_module):
from tools.tts_tool import _generate_kittentts
_, fake_cls = mock_kittentts_module
_generate_kittentts(
"A",
str(tmp_path / "a.wav"),
{"kittentts": {"model": "KittenML/kitten-tts-nano-0.8-int8"}},
)
_generate_kittentts(
"B",
str(tmp_path / "b.wav"),
{"kittentts": {"model": "KittenML/kitten-tts-mini-0.8"}},
)
assert fake_cls.call_count == 2
def test_non_wav_extension_triggers_ffmpeg_conversion(
self, tmp_path, mock_kittentts_module, monkeypatch
):
"""Non-.wav output path causes WAV → target ffmpeg conversion."""
from tools import tts_tool as _tt
calls = []
def fake_shutil_which(cmd):
return "/usr/bin/ffmpeg" if cmd == "ffmpeg" else None
def fake_run(cmd, check=False, timeout=None, **kw):
calls.append(cmd)
# Emulate ffmpeg writing the output file
import pathlib
out_path = cmd[-1]
pathlib.Path(out_path).write_bytes(b"fake-mp3-data")
return MagicMock(returncode=0)
monkeypatch.setattr(_tt.shutil, "which", fake_shutil_which)
monkeypatch.setattr(_tt.subprocess, "run", fake_run)
output_path = str(tmp_path / "test.mp3")
result = _tt._generate_kittentts("Hi", output_path, {})
assert result == output_path
assert len(calls) == 1
assert calls[0][0] == "/usr/bin/ffmpeg"
def test_missing_kittentts_raises_import_error(self, tmp_path, monkeypatch):
"""When kittentts package is not installed, _import_kittentts raises."""
import sys
monkeypatch.setitem(sys.modules, "kittentts", None)
from tools.tts_tool import _generate_kittentts
with pytest.raises((ImportError, TypeError)):
_generate_kittentts("Hi", str(tmp_path / "out.wav"), {})
class TestCheckKittenttsAvailable:
def test_reports_available_when_package_present(self, monkeypatch):
import importlib.util
from tools.tts_tool import _check_kittentts_available
fake_spec = MagicMock()
monkeypatch.setattr(
importlib.util,
"find_spec",
lambda name: fake_spec if name == "kittentts" else None,
)
assert _check_kittentts_available() is True
def test_reports_unavailable_when_package_missing(self, monkeypatch):
import importlib.util
from tools.tts_tool import _check_kittentts_available
monkeypatch.setattr(importlib.util, "find_spec", lambda name: None)
assert _check_kittentts_available() is False
class TestDispatcherBranch:
def test_kittentts_not_installed_returns_helpful_error(self, monkeypatch, tmp_path):
"""When provider=kittentts but package missing, return JSON error with setup hint."""
import sys
monkeypatch.setitem(sys.modules, "kittentts", None)
monkeypatch.setenv("HERMES_HOME", str(tmp_path))
from tools.tts_tool import text_to_speech_tool
# Write a config telling it to use kittentts
import yaml
(tmp_path / "config.yaml").write_text(
yaml.safe_dump({"tts": {"provider": "kittentts"}})
)
result = json.loads(text_to_speech_tool(text="Hello"))
assert result["success"] is False
assert "kittentts" in result["error"].lower()
assert "hermes setup tts" in result["error"].lower()
def test_non_telegram_explicit_wav_path_is_preserved(
self, monkeypatch, tmp_path, mock_kittentts_module
):
"""Explicit WAV outputs should stay WAV outside Telegram sessions."""
import yaml
from tools import tts_tool as _tt
monkeypatch.setenv("HERMES_HOME", str(tmp_path))
(tmp_path / "config.yaml").write_text(
yaml.safe_dump({"tts": {"provider": "kittentts"}})
)
def fail_convert(_path):
raise AssertionError("_convert_to_opus should not run outside Telegram")
monkeypatch.setattr(_tt, "_convert_to_opus", fail_convert)
result = json.loads(
_tt.text_to_speech_tool(
text="Hello from KittenTTS",
output_path=str(tmp_path / "out.wav"),
)
)
assert result["success"] is True
assert result["file_path"] == str(tmp_path / "out.wav")
assert (tmp_path / "out.wav").exists()

View File

@@ -2,13 +2,14 @@
"""
Text-to-Speech Tool Module
Supports six TTS providers:
Supports seven TTS providers:
- Edge TTS (default, free, no API key): Microsoft Edge neural voices
- ElevenLabs (premium): High-quality voices, needs ELEVENLABS_API_KEY
- OpenAI TTS: Good quality, needs OPENAI_API_KEY
- MiniMax TTS: High-quality with voice cloning, needs MINIMAX_API_KEY
- Mistral (Voxtral TTS): Multilingual, native Opus, needs MISTRAL_API_KEY
- NeuTTS (local, free, no API key): On-device TTS via neutts_cli, needs neutts installed
- KittenTTS (local, free, no API key): Lightweight on-device ONNX TTS via kittentts
Output formats:
- Opus (.ogg) for Telegram voice bubbles (requires ffmpeg for Edge TTS)
@@ -77,6 +78,12 @@ def _import_sounddevice():
return sd
def _import_kittentts():
"""Lazy import KittenTTS. Returns the class or raises ImportError."""
from kittentts import KittenTTS
return KittenTTS
# ===========================================================================
# Defaults
# ===========================================================================
@@ -86,6 +93,8 @@ DEFAULT_ELEVENLABS_VOICE_ID = "pNInz6obpgDQGcFmaJgB" # Adam
DEFAULT_ELEVENLABS_MODEL_ID = "eleven_multilingual_v2"
DEFAULT_ELEVENLABS_STREAMING_MODEL_ID = "eleven_flash_v2_5"
DEFAULT_OPENAI_MODEL = "gpt-4o-mini-tts"
DEFAULT_KITTENTTS_MODEL = "KittenML/kitten-tts-nano-0.8-int8" # 25MB
DEFAULT_KITTENTTS_VOICE = "Jasper"
DEFAULT_OPENAI_VOICE = "alloy"
DEFAULT_OPENAI_BASE_URL = "https://api.openai.com/v1"
DEFAULT_MINIMAX_MODEL = "speech-2.8-hd"
@@ -448,6 +457,15 @@ def _check_neutts_available() -> bool:
return False
def _check_kittentts_available() -> bool:
"""Check if the kittentts engine is importable (installed locally)."""
try:
import importlib.util
return importlib.util.find_spec("kittentts") is not None
except Exception:
return False
def _default_neutts_ref_audio() -> str:
"""Return path to the bundled default voice reference audio."""
return str(Path(__file__).parent / "neutts_samples" / "jo.wav")
@@ -511,6 +529,51 @@ def _generate_neutts(text: str, output_path: str, tts_config: Dict[str, Any]) ->
return output_path
# ===========================================================================
# Provider: KittenTTS (local, lightweight)
# ===========================================================================
# Module-level cache for KittenTTS model instances
_kittentts_model_cache: Dict[str, Any] = {}
def _generate_kittentts(text: str, output_path: str, tts_config: Dict[str, Any]) -> str:
"""Generate speech using the local KittenTTS ONNX model."""
KittenTTS = _import_kittentts()
kt_config = tts_config.get("kittentts", {})
model_name = kt_config.get("model", DEFAULT_KITTENTTS_MODEL)
voice = kt_config.get("voice", DEFAULT_KITTENTTS_VOICE)
speed = kt_config.get("speed", 1.0)
clean_text = kt_config.get("clean_text", True)
global _kittentts_model_cache
if model_name not in _kittentts_model_cache:
logger.info("[KittenTTS] Loading model: %s", model_name)
_kittentts_model_cache[model_name] = KittenTTS(model_name)
model = _kittentts_model_cache[model_name]
audio = model.generate(text, voice=voice, speed=speed, clean_text=clean_text)
import soundfile as sf
wav_path = output_path
if not output_path.endswith(".wav"):
wav_path = output_path.rsplit(".", 1)[0] + ".wav"
sf.write(wav_path, audio, 24000)
if wav_path != output_path:
ffmpeg = shutil.which("ffmpeg")
if ffmpeg:
conv_cmd = [ffmpeg, "-i", wav_path, "-y", "-loglevel", "error", output_path]
subprocess.run(conv_cmd, check=True, timeout=30)
os.remove(wav_path)
else:
os.rename(wav_path, output_path)
return output_path
# ===========================================================================
# Main tool function
# ===========================================================================
@@ -622,6 +685,19 @@ def text_to_speech_tool(
logger.info("Generating speech with NeuTTS (local)...")
_generate_neutts(text, file_str, tts_config)
elif provider == "kittentts":
try:
_import_kittentts()
except ImportError:
return json.dumps({
"success": False,
"error": "KittenTTS provider selected but 'kittentts' package not installed. "
"Run 'hermes setup tts' and choose KittenTTS, or install manually: "
"pip install https://github.com/KittenML/KittenTTS/releases/download/0.8.1/kittentts-0.8.1-py3-none-any.whl"
}, ensure_ascii=False)
logger.info("Generating speech with KittenTTS (local, lightweight)...")
_generate_kittentts(text, file_str, tts_config)
else:
# Default: Edge TTS (free), with NeuTTS as local fallback
edge_available = True
@@ -658,10 +734,10 @@ def text_to_speech_tool(
"error": f"TTS generation produced no output (provider: {provider})"
}, ensure_ascii=False)
# Try Opus conversion for Telegram compatibility
# Edge TTS outputs MP3, NeuTTS outputs WAV — both need ffmpeg conversion
# Try Opus conversion for Telegram compatibility only.
# Outside Telegram, preserve the caller's explicit output format.
voice_compatible = False
if provider in ("edge", "neutts", "minimax") and not file_str.endswith(".ogg"):
if want_opus and provider in ("edge", "neutts", "minimax", "kittentts") and not file_str.endswith(".ogg"):
opus_path = _convert_to_opus(file_str)
if opus_path:
file_str = opus_path
@@ -742,6 +818,8 @@ def check_tts_requirements() -> bool:
pass
if _check_neutts_available():
return True
if _check_kittentts_available():
return True
return False

View File

@@ -10,7 +10,7 @@ Hermes Agent supports both text-to-speech output and voice message transcription
## Text-to-Speech
Convert text to speech with six providers:
Convert text to speech with seven providers:
| Provider | Quality | Cost | API Key |
|----------|---------|------|---------|
@@ -20,6 +20,7 @@ Convert text to speech with six providers:
| **MiniMax TTS** | Excellent | Paid | `MINIMAX_API_KEY` |
| **Mistral (Voxtral TTS)** | Excellent | Paid | `MISTRAL_API_KEY` |
| **NeuTTS** | Good | Free | None needed |
| **KittenTTS** | Good | Free (local) | None needed |
### Platform Delivery
@@ -35,7 +36,7 @@ Convert text to speech with six providers:
```yaml
# In ~/.hermes/config.yaml
tts:
provider: "edge" # "edge" | "elevenlabs" | "openai" | "minimax" | "mistral" | "neutts"
provider: "edge" # "edge" | "elevenlabs" | "openai" | "minimax" | "mistral" | "neutts" | "kittentts"
speed: 1.0 # Global speed multiplier (provider-specific settings override this)
edge:
voice: "en-US-AriaNeural" # 322 voices, 74 languages
@@ -62,6 +63,11 @@ tts:
ref_text: ''
model: neuphonic/neutts-air-q4-gguf
device: cpu
kittentts:
model: KittenML/kitten-tts-nano-0.8-int8 # 25MB int8 default; also micro and mini variants
voice: Jasper # Jasper, Bella, Luna, Bruno, Rosie, Hugo, Kiki, Leo
speed: 1.0
clean_text: true
```
**Speed control**: The global `tts.speed` value applies to all providers by default. Each provider can override it with its own `speed` setting (e.g., `tts.openai.speed: 1.5`). Provider-specific speed takes precedence over the global value. Default is `1.0` (normal speed).
@@ -74,6 +80,7 @@ Telegram voice bubbles require Opus/OGG audio format:
- **Edge TTS** (default) outputs MP3 and needs **ffmpeg** to convert:
- **MiniMax TTS** outputs MP3 and needs **ffmpeg** to convert for Telegram voice bubbles
- **NeuTTS** outputs WAV and also needs **ffmpeg** to convert for Telegram voice bubbles
- **KittenTTS** outputs WAV and also needs **ffmpeg** to convert for Telegram voice bubbles
```bash
# Ubuntu/Debian
@@ -86,7 +93,7 @@ brew install ffmpeg
sudo dnf install ffmpeg
```
Without ffmpeg, Edge TTS, MiniMax TTS, and NeuTTS audio are sent as regular audio files (playable, but shown as a rectangular player instead of a voice bubble).
Without ffmpeg, Edge TTS, MiniMax TTS, NeuTTS, and KittenTTS audio are sent as regular audio files (playable, but shown as a rectangular player instead of a voice bubble).
:::tip
If you want voice bubbles without installing ffmpeg, switch to the OpenAI, ElevenLabs, or Mistral provider.