From ff2a0e5f1b1ce601f0ed4cf4fea11690f1919ffd Mon Sep 17 00:00:00 2001 From: SearchSavior Date: Tue, 7 Apr 2026 22:35:12 -0400 Subject: [PATCH 1/2] - initial commit of openarc tts mcp with serverside playback --- pyproject.toml | 3 + src/server/main.py | 51 +- src/server/openarc_mcp/__init__.py | 0 src/server/openarc_mcp/app.py | 24 + src/server/openarc_mcp/scripts/__init__.py | 0 src/server/openarc_mcp/scripts/speak.py | 213 +++++++ uv.lock | 618 ++++++++++++++++++++- 7 files changed, 858 insertions(+), 51 deletions(-) create mode 100644 src/server/openarc_mcp/__init__.py create mode 100644 src/server/openarc_mcp/app.py create mode 100644 src/server/openarc_mcp/scripts/__init__.py create mode 100644 src/server/openarc_mcp/scripts/speak.py diff --git a/pyproject.toml b/pyproject.toml index 63808fea..90c6988c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -13,11 +13,14 @@ dependencies = [ "click>=8.2.1", "ddgs>=9.6.1", "fastapi>=0.116.1", + "fastmcp>=3.2.0", + "httpx>=0.28.1", "huggingface-hub[cli]>=0.33.4", "ipykernel>=7.0.1", "ipywidgets>=8.1.7", "kokoro>=0.9.4", "librosa>=0.11.0", + "mcp>=1.20.0", "misaki[en]>=0.9.4", "openai>1.109.1", "openai-agents>=0.4.2", diff --git a/src/server/main.py b/src/server/main.py index 10ae4b3f..268a47b2 100644 --- a/src/server/main.py +++ b/src/server/main.py @@ -34,6 +34,7 @@ RerankRequest, ) from src.server.worker_registry import WorkerRegistry +from src.server.openarc_mcp.app import mcp as openarc_tts_mcp logger = logging.getLogger(__name__) @@ -76,32 +77,36 @@ async def dispatch(self, request: Request, call_next): @asynccontextmanager async def lifespan(app: FastAPI): """Lifespan event handler for startup/shutdown""" - # Startup: Load models from env var - models = os.getenv("OPENARC_STARTUP_MODELS", "").strip() - if models: - from pathlib import Path - config_file = Path(__file__).parent.parent.parent / "openarc_config.json" - if config_file.exists(): - with open(config_file) as f: - config = json.load(f) - - for name in models.split(","): - name = name.strip() - model_config = config.get("models", {}).get(name) - if not model_config: - logger.warning(f"Startup: model '{name}' not in config, skipping") - continue - try: - await _registry.register_load(ModelLoadConfig(**model_config)) - logger.info(f"Startup: loaded '{name}'") - except Exception as e: - logger.error(f"Startup: failed to load '{name}': {e}") - - yield - # Shutdown: (add cleanup here if needed) + # Mounted Starlette MCP app does not receive lifespan from FastAPI; session_manager.run() + # must run here so Streamable HTTP has a task group (see FastMCP session_manager docs). + async with openarc_tts_mcp.session_manager.run(): + models = os.getenv("OPENARC_STARTUP_MODELS", "").strip() + if models: + from pathlib import Path + config_file = Path(__file__).parent.parent.parent / "openarc_config.json" + if config_file.exists(): + with open(config_file) as f: + config = json.load(f) + + for name in models.split(","): + name = name.strip() + model_config = config.get("models", {}).get(name) + if not model_config: + logger.warning(f"Startup: model '{name}' not in config, skipping") + continue + try: + await _registry.register_load(ModelLoadConfig(**model_config)) + logger.info(f"Startup: loaded '{name}'") + except Exception as e: + logger.error(f"Startup: failed to load '{name}': {e}") + + yield app = FastAPI(lifespan=lifespan) +# MCP TTS: Streamable HTTP at /openarc/tts/mcp; internal calls to /v1/audio/speech use OPENARC_API_KEY. +app.mount("/openarc/tts", openarc_tts_mcp.streamable_http_app()) + # API key authentication API_KEY = os.getenv("OPENARC_API_KEY") security = HTTPBearer() diff --git a/src/server/openarc_mcp/__init__.py b/src/server/openarc_mcp/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/src/server/openarc_mcp/app.py b/src/server/openarc_mcp/app.py new file mode 100644 index 00000000..820df99c --- /dev/null +++ b/src/server/openarc_mcp/app.py @@ -0,0 +1,24 @@ +"""FastMCP Streamable HTTP app for OpenArc TTS (mounted under /openarc/tts).""" + +from __future__ import annotations + +import logging +from contextlib import asynccontextmanager +from typing import AsyncIterator + +from mcp.server.fastmcp import FastMCP + +from src.server.openarc_mcp.scripts.speak import OpenArcMCPTTSConfig, register_openarc_tts_tool + +logger = logging.getLogger(__name__) + + +@asynccontextmanager +async def _lifespan(app: FastMCP) -> AsyncIterator[OpenArcMCPTTSConfig]: + cfg = OpenArcMCPTTSConfig.load() + logger.info("MCP TTS: speech_url=%s model=%s", cfg.speech_url, cfg.body_template["model"]) + yield cfg + + +mcp = FastMCP("OpenArcTTS", lifespan=_lifespan, stateless_http=True) +register_openarc_tts_tool(mcp) diff --git a/src/server/openarc_mcp/scripts/__init__.py b/src/server/openarc_mcp/scripts/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/src/server/openarc_mcp/scripts/speak.py b/src/server/openarc_mcp/scripts/speak.py new file mode 100644 index 00000000..16a4bea8 --- /dev/null +++ b/src/server/openarc_mcp/scripts/speak.py @@ -0,0 +1,213 @@ +"""MCP tool: synthesize speech via /v1/audio/speech and play on the server.""" + +from __future__ import annotations + +import asyncio +import copy +import io +import json +import os +import re +from dataclasses import dataclass +from pathlib import Path +from typing import Annotated, Any + +import httpx +import numpy as np +import sounddevice as sd +import soundfile as sf +from mcp.server.fastmcp import Context, FastMCP +from pydantic import Field + +from src.server.models.registration import ModelType + +SPEAK_TOOL_NAME = "speak" +SPEAK_TOOL_TITLE = "Speak (OpenArc TTS)" +SPEAK_TOOL_DESCRIPTION = """ +Use this tool to speak to the user. +""".strip() + +_DEFAULT_L16_RATE = 24000 + + +def _openarc_config_path() -> Path: + # src/server/openarc_mcp/scripts/speak.py -> repo root + return Path(__file__).resolve().parent.parent.parent.parent.parent / "openarc_config.json" + + +def _http_base_url(server_cfg: dict[str, Any]) -> str: + host = str(server_cfg.get("host", "127.0.0.1")) + if host in ("0.0.0.0", "::"): + host = "127.0.0.1" + port = int(server_cfg.get("port", 8000)) + return f"http://{host}:{port}" + + +def _is_qwen3_tts(model_type: str) -> bool: + try: + mt = ModelType(model_type) + except ValueError: + return False + return mt in ( + ModelType.QWEN3_TTS_CUSTOM_VOICE, + ModelType.QWEN3_TTS_VOICE_DESIGN, + ModelType.QWEN3_TTS_VOICE_CLONE, + ) + + +@dataclass(frozen=True) +class OpenArcMCPTTSConfig: + """Loads and validates mcp.tts from openarc_config.json; builds /v1/audio/speech request template.""" + + speech_url: str + api_key: str + body_template: dict[str, Any] + + @classmethod + def load( + cls, + *, + config_path: Path | None = None, + api_key: str | None = None, + ) -> OpenArcMCPTTSConfig: + path = config_path or _openarc_config_path() + if not path.is_file(): + raise FileNotFoundError(f"openarc_config.json not found: {path}") + + with open(path, encoding="utf-8") as f: + config = json.load(f) + + mcp_cfg = config.get("mcp") or {} + tts_cfg = mcp_cfg.get("tts") + if not tts_cfg or not isinstance(tts_cfg, dict): + raise ValueError('openarc_config.json: missing or invalid "mcp.tts" object') + + model_name = tts_cfg.get("model") + if not model_name or not isinstance(model_name, str): + raise ValueError('openarc_config.json: mcp.tts.model must be a non-empty string') + + models = config.get("models") or {} + entry = models.get(model_name) + if not entry: + raise ValueError( + f'openarc_config.json: mcp.tts.model "{model_name}" not found under "models"' + ) + + model_type = entry.get("model_type") + if not model_type: + raise ValueError(f'openarc_config.json: models["{model_name}"].model_type is required') + + key = api_key if api_key is not None else os.environ.get("OPENARC_API_KEY") + if not key: + raise ValueError("OPENARC_API_KEY must be set for MCP TTS (same key as /v1/audio/speech)") + + server_cfg = config.get("server") or {} + base = _http_base_url(server_cfg) + speech_url = f"{base.rstrip('/')}/v1/audio/speech" + + placeholder_input = "" + + if model_type == ModelType.KOKORO.value: + kokoro_extra = copy.deepcopy(tts_cfg.get("kokoro") or {}) + if not isinstance(kokoro_extra, dict): + raise ValueError("openarc_config.json: mcp.tts.kokoro must be an object") + body: dict[str, Any] = { + "model": model_name, + "input": placeholder_input, + "openarc_tts": {"kokoro": {**kokoro_extra, "input": placeholder_input}}, + } + elif _is_qwen3_tts(model_type): + q_extra = copy.deepcopy(tts_cfg.get("qwen3_tts") or {}) + if not isinstance(q_extra, dict): + raise ValueError("openarc_config.json: mcp.tts.qwen3_tts must be an object") + body = { + "model": model_name, + "input": placeholder_input, + "openarc_tts": {"qwen3_tts": {**q_extra, "input": placeholder_input}}, + } + else: + raise ValueError( + f'mcp.tts.model "{model_name}" has model_type "{model_type}"; ' + "expected kokoro or a qwen3_tts_* type" + ) + + return cls(speech_url=speech_url, api_key=key, body_template=body) + + +def _l16_rate_from_content_type(content_type: str) -> int: + m = re.search(r"rate=(\d+)", content_type, re.IGNORECASE) + if m: + return int(m.group(1)) + return _DEFAULT_L16_RATE + + +def _play_streaming_l16(response: httpx.Response, sample_rate: int) -> None: + pending = bytearray() + with sd.OutputStream(samplerate=sample_rate, channels=1, dtype="float32") as out: + for chunk in response.iter_bytes(chunk_size=8192): + if not chunk: + continue + pending.extend(chunk) + n_bytes = (len(pending) // 2) * 2 + if n_bytes == 0: + continue + raw = bytes(pending[:n_bytes]) + del pending[:n_bytes] + samples = np.frombuffer(raw, dtype=" None: + buf = io.BytesIO(body) + audio_data, fs = sf.read(buf, dtype="float32") + sd.play(audio_data, fs) + sd.wait() + + +def _speak_sync(speech_url: str, api_key: str, body: dict) -> None: + headers = { + "Authorization": f"Bearer {api_key}", + "Content-Type": "application/json", + } + with httpx.Client(timeout=120.0) as client: + with client.stream("POST", speech_url, json=body, headers=headers) as response: + response.raise_for_status() + content_type = response.headers.get("content-type", "") + if "l16" in content_type.lower(): + sr = _l16_rate_from_content_type(content_type) + _play_streaming_l16(response, sr) + return + + chunks: list[bytes] = [] + for chunk in response.iter_bytes(chunk_size=8192): + if chunk: + chunks.append(chunk) + _play_wav_body(b"".join(chunks)) + + +async def speak( + input: Annotated[str, Field(description="Text to synthesize and play on the OpenArc server.")], + ctx: Context, +) -> str: + cfg: OpenArcMCPTTSConfig = ctx.request_context.lifespan_context + body = copy.deepcopy(cfg.body_template) + body["input"] = input + oa = body.get("openarc_tts") or {} + if "kokoro" in oa and oa["kokoro"] is not None: + oa["kokoro"]["input"] = input + if "qwen3_tts" in oa and oa["qwen3_tts"] is not None: + oa["qwen3_tts"]["input"] = input + + await 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[PATCH 2/2] Refactor OpenArc TTS speak tool for improved configuration validation and error handling --- src/server/openarc_mcp/scripts/speak.py | 77 ++++++++++++++----------- 1 file changed, 44 insertions(+), 33 deletions(-) diff --git a/src/server/openarc_mcp/scripts/speak.py b/src/server/openarc_mcp/scripts/speak.py index 16a4bea8..b79cd2a1 100644 --- a/src/server/openarc_mcp/scripts/speak.py +++ b/src/server/openarc_mcp/scripts/speak.py @@ -6,6 +6,7 @@ import copy import io import json +import logging import os import re from dataclasses import dataclass @@ -24,9 +25,11 @@ SPEAK_TOOL_NAME = "speak" SPEAK_TOOL_TITLE = "Speak (OpenArc TTS)" SPEAK_TOOL_DESCRIPTION = """ -Use this tool to speak to the user. +Use this tool to speak to the user. Returns [DONE] as soon as the TTS HTTP request succeeds. """.strip() +logger = logging.getLogger(__name__) + _DEFAULT_L16_RATE = 24000 @@ -141,21 +144,13 @@ def _l16_rate_from_content_type(content_type: str) -> int: return _DEFAULT_L16_RATE -def _play_streaming_l16(response: httpx.Response, sample_rate: int) -> None: - pending = bytearray() - with sd.OutputStream(samplerate=sample_rate, channels=1, dtype="float32") as out: - for chunk in response.iter_bytes(chunk_size=8192): - if not chunk: - continue - pending.extend(chunk) - n_bytes = (len(pending) // 2) * 2 - if n_bytes == 0: - continue - raw = bytes(pending[:n_bytes]) - del pending[:n_bytes] - samples = np.frombuffer(raw, dtype=" None: + n = (len(data) // 2) * 2 + if n == 0: + return + samples = np.frombuffer(data[:n], dtype=" None: @@ -165,25 +160,39 @@ def _play_wav_body(body: bytes) -> None: sd.wait() -def _speak_sync(speech_url: str, api_key: str, body: dict) -> None: +def _play_audio_body(raw: bytes, content_type: str) -> None: + ct = content_type.lower() + if "l16" in ct: + sr = _l16_rate_from_content_type(content_type) + _play_l16_pcm_bytes(raw, sr) + else: + _play_wav_body(raw) + + +async def _speak_playback_worker( + gate: asyncio.Future[None], + speech_url: str, + api_key: str, + body: dict, +) -> None: headers = { "Authorization": f"Bearer {api_key}", "Content-Type": "application/json", } - with httpx.Client(timeout=120.0) as client: - with client.stream("POST", speech_url, json=body, headers=headers) as response: - response.raise_for_status() - content_type = response.headers.get("content-type", "") - if "l16" in content_type.lower(): - sr = _l16_rate_from_content_type(content_type) - _play_streaming_l16(response, sr) - return - - chunks: list[bytes] = [] - for chunk in response.iter_bytes(chunk_size=8192): - if chunk: - chunks.append(chunk) - _play_wav_body(b"".join(chunks)) + try: + async with httpx.AsyncClient(timeout=httpx.Timeout(120.0)) as client: + async with client.stream("POST", speech_url, json=body, headers=headers) as response: + response.raise_for_status() + if not gate.done(): + gate.set_result(None) + content_type = response.headers.get("content-type", "") or "" + raw = await response.aread() + await asyncio.to_thread(_play_audio_body, raw, content_type) + except Exception as e: + if not gate.done(): + gate.set_exception(e) + else: + logger.exception("speak: playback failed after HTTP 2xx (client already got [DONE])") async def speak( @@ -199,8 +208,10 @@ async def speak( if "qwen3_tts" in oa and oa["qwen3_tts"] is not None: oa["qwen3_tts"]["input"] = input - await asyncio.to_thread(_speak_sync, cfg.speech_url, cfg.api_key, body) - return "" + gate: asyncio.Future[None] = asyncio.get_running_loop().create_future() + asyncio.create_task(_speak_playback_worker(gate, cfg.speech_url, cfg.api_key, body)) + await gate + return "[DONE], end this turn." def register_openarc_tts_tool(mcp: FastMCP) -> None: