- Add new fields in AssistantConfig for FastGPT connection details, including `fastgpt_api_url`, `fastgpt_api_key`, and `fastgpt_app_id`. - Update the pipeline to utilize the new FastGPT configuration, ensuring proper integration with external services. - Introduce type handling for different assistant types, including support for realtime modes and external brain management. - Refactor frontend components to include hints for FastGPT configuration inputs, improving user guidance during setup.
163 lines
7.0 KiB
Python
163 lines
7.0 KiB
Python
"""创建 STT / LLM / TTS 服务。
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对应 dograh 的 service_factory.py,但只留一套国产栈(OpenAI 兼容),
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按 interface_type 扩展时在这里加分支即可——这是未来接更多模型的唯一入口。
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"""
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import config
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from loguru import logger
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from models import AssistantConfig
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from pipecat.services.openai.llm import OpenAILLMService
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from pipecat.services.openai.stt import OpenAISTTService
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from pipecat.services.openai.tts import VALID_VOICES, OpenAITTSService
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from pipecat.transcriptions.language import Language
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from services.pipecat.xfyun_asr import DEFAULT_XFYUN_ASR_URL, XfyunASRService
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from services.pipecat.xfyun_config import websocket_url, xfyun_language, xfyun_speed
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from services.pipecat.xfyun_super_tts import (
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DEFAULT_XFYUN_SUPER_TTS_URL,
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XfyunSuperTTSService,
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)
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from services.pipecat.xfyun_tts import DEFAULT_XFYUN_TTS_URL, XfyunTTSService
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# TTS「说完」判定的空闲时长:默认 3.0s 过长(导致工作流结束节点说完后还要等约 3s
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# 才挂断,也拖慢日常轮次的交还)。设 1.0s 既能让结束语文字/音频送达,又更跟手。
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# 流式 TTS 句间音频间隔通常远小于 1s,不会把一段多句回复误判为结束。
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TTS_STOP_FRAME_TIMEOUT_S = 1.0
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def _language(value: str) -> Language | None:
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if not value:
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return None
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try:
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return Language(value)
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except ValueError:
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logger.warning(f"忽略不支持的 ASR language: {value}")
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return None
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def create_stt(cfg: AssistantConfig):
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"""SenseVoice / FunASR 等,走 OpenAI 兼容的 /v1/audio/transcriptions。
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连接信息优先用 cfg(由 config_resolver 从 DB 注入),为空回退 .env 默认。
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"""
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if cfg.stt_interface_type == "xfyun-asr":
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return XfyunASRService(
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app_id=str(cfg.stt_secrets.get("appId") or ""),
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api_key=str(cfg.stt_secrets.get("apiKey") or ""),
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api_secret=str(cfg.stt_secrets.get("apiSecret") or ""),
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url=websocket_url(cfg.stt_base_url, DEFAULT_XFYUN_ASR_URL),
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language=xfyun_language(cfg.stt_language),
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sample_rate=16000,
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domain=str(cfg.stt_values.get("domain") or "iat"),
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accent=str(cfg.stt_values.get("accent") or "mandarin"),
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frame_size=int(cfg.stt_values.get("frameSize") or 1280),
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dynamic_correction=bool(cfg.stt_values.get("dynamicCorrection", False)),
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)
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if cfg.stt_interface_type not in {"openai-asr", "dashscope-asr"}:
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raise ValueError(f"不支持的 ASR 接口类型: {cfg.stt_interface_type}")
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return OpenAISTTService(
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api_key=cfg.stt_api_key or config.STT_API_KEY,
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base_url=cfg.stt_base_url or config.STT_BASE_URL,
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settings=OpenAISTTService.Settings(
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model=cfg.asr or config.STT_MODEL,
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language=_language(cfg.stt_language),
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),
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)
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def create_llm(cfg: AssistantConfig):
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"""DeepSeek 等,走 OpenAI 兼容的 /v1/chat/completions。"""
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if cfg.llm_interface_type not in {"openai-llm", "dashscope-llm"}:
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raise ValueError(f"不支持的 LLM 接口类型: {cfg.llm_interface_type}")
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return OpenAILLMService(
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api_key=cfg.llm_api_key or config.LLM_API_KEY,
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base_url=cfg.llm_base_url or config.LLM_BASE_URL,
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settings=OpenAILLMService.Settings(model=cfg.model or config.LLM_MODEL),
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)
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def create_tts(cfg: AssistantConfig):
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"""CosyVoice 等,走 OpenAI 兼容的 /v1/audio/speech。"""
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voice = cfg.voice or config.TTS_VOICE
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if cfg.tts_interface_type == "xfyun-super-tts":
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return XfyunSuperTTSService(
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app_id=str(cfg.tts_secrets.get("appId") or ""),
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api_key=str(cfg.tts_secrets.get("apiKey") or ""),
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api_secret=str(cfg.tts_secrets.get("apiSecret") or ""),
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voice=voice,
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url=websocket_url(cfg.tts_base_url, DEFAULT_XFYUN_SUPER_TTS_URL),
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sample_rate=16000,
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source_sample_rate=int(cfg.tts_values.get("sourceSampleRate") or 24000),
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speed=xfyun_speed(cfg.tts_speed),
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volume=int(cfg.tts_values.get("volume") or 50),
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pitch=int(cfg.tts_values.get("pitch") or 50),
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oral_level=str(cfg.tts_values.get("oralLevel") or "mid"),
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text_aggregation_mode=str(
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cfg.tts_values.get("textAggregationMode") or "token"
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),
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)
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if cfg.tts_interface_type == "xfyun-tts":
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return XfyunTTSService(
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app_id=str(cfg.tts_secrets.get("appId") or ""),
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api_key=str(cfg.tts_secrets.get("apiKey") or ""),
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api_secret=str(cfg.tts_secrets.get("apiSecret") or ""),
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voice=voice,
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url=websocket_url(cfg.tts_base_url, DEFAULT_XFYUN_TTS_URL),
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sample_rate=16000,
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source_sample_rate=int(cfg.tts_values.get("sourceSampleRate") or 16000),
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speed=xfyun_speed(cfg.tts_speed),
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volume=int(cfg.tts_values.get("volume") or 50),
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pitch=int(cfg.tts_values.get("pitch") or 50),
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push_stop_frames=True,
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stop_frame_timeout_s=TTS_STOP_FRAME_TIMEOUT_S,
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)
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if cfg.tts_interface_type not in {"openai-tts", "dashscope-tts"}:
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raise ValueError(f"不支持的 TTS 接口类型: {cfg.tts_interface_type}")
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# Pipecat 默认只接受 OpenAI 官方音色。OpenAI 兼容服务常使用自定义 voice id,
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# 注册为原样映射后仍由 OpenAI SDK 按字符串透传给供应商。
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VALID_VOICES.setdefault(voice, voice)
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return OpenAITTSService(
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api_key=cfg.tts_api_key or config.TTS_API_KEY,
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base_url=cfg.tts_base_url or config.TTS_BASE_URL,
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stop_frame_timeout_s=TTS_STOP_FRAME_TIMEOUT_S,
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settings=OpenAITTSService.Settings(
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model=cfg.tts_model or config.TTS_MODEL,
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voice=voice,
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speed=cfg.tts_speed,
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),
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)
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def create_realtime_service(cfg: AssistantConfig):
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"""Create a speech-to-speech service that owns STT, LLM, and TTS."""
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if cfg.realtime_interface_type == "stepfun-realtime":
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from services.pipecat.stepfun_realtime import StepFunRealtimeService
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return StepFunRealtimeService(
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api_key=cfg.realtime_api_key,
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model=cfg.realtimeModel,
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base_url=cfg.realtime_base_url,
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instructions=cfg.prompt,
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voice=str(cfg.realtime_values.get("voice") or "linjiajiejie"),
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input_sample_rate=int(
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cfg.realtime_values.get("inputSampleRate") or 24000
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),
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output_sample_rate=int(
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cfg.realtime_values.get("outputSampleRate") or 24000
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),
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prefix_padding_ms=int(
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cfg.realtime_values.get("prefixPaddingMs") or 500
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),
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silence_duration_ms=int(
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cfg.realtime_values.get("silenceDurationMs") or 300
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),
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energy_awakeness_threshold=int(
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cfg.realtime_values.get("energyAwakenessThreshold") or 2500
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),
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)
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raise ValueError(f"不支持的 Realtime 接口类型: {cfg.realtime_interface_type}")
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