Add support for image input in model resources and enhance related configurations
- Introduce a new `support_image_input` field in model resources, allowing models to indicate support for image input. - Update the backend models, schemas, and database seed scripts to accommodate the new field. - Enhance the AssistantConfig and related routes to handle image input capabilities, ensuring proper validation and error handling. - Modify the frontend components to include toggles for enabling visual understanding and filtering models based on image input support. - Implement necessary adjustments in the voice preview and pipeline to integrate video stream handling alongside audio functionalities.
This commit is contained in:
4
.env
Normal file
4
.env
Normal file
@@ -0,0 +1,4 @@
|
||||
# docker compose 变量(复制为项目根 .env)。公网 WebRTC 需配合 --profile remote。
|
||||
PUBLIC_IP=182.92.86.220
|
||||
TURN_SECRET=change-me-to-a-long-random-string
|
||||
TURN_URLS=turn:182.92.86.220:3478?transport=udp,turn:182.92.86.220:3478?transport=tcp
|
||||
@@ -50,6 +50,7 @@ class ModelResource(Base):
|
||||
)
|
||||
values: Mapped[dict] = mapped_column(JSONB, default=dict)
|
||||
secrets: Mapped[dict] = mapped_column(JSONB, default=dict)
|
||||
support_image_input: Mapped[bool] = mapped_column(Boolean, default=False)
|
||||
enabled: Mapped[bool] = mapped_column(Boolean, default=True)
|
||||
is_default: Mapped[bool] = mapped_column(Boolean, default=False)
|
||||
created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())
|
||||
|
||||
@@ -1,43 +1,46 @@
|
||||
-- 模型资源种子数据。依赖应用启动时写入 interface_definitions。
|
||||
|
||||
INSERT INTO model_resources
|
||||
(id, name, capability, interface_type, values, secrets, enabled, is_default)
|
||||
(id, name, capability, interface_type, values, secrets, support_image_input, enabled, is_default)
|
||||
VALUES
|
||||
('model_001', 'DeepSeek-Chat', 'LLM', 'openai-llm',
|
||||
'{"modelId":"deepseek-chat","apiUrl":"https://api.deepseek.com/v1","temperature":0.7}',
|
||||
'{"apiKey":"replace-me"}', TRUE, TRUE),
|
||||
'{"apiKey":"replace-me"}', FALSE, TRUE, TRUE),
|
||||
('model_002', 'SiliconFlow-TeleSpeechASR', 'ASR', 'openai-asr',
|
||||
'{"modelId":"TeleAI/TeleSpeechASR","apiUrl":"https://api.siliconflow.cn/v1","language":"zh"}',
|
||||
'{"apiKey":"replace-me"}', TRUE, FALSE),
|
||||
'{"apiKey":"replace-me"}', FALSE, TRUE, FALSE),
|
||||
('model_003', 'SiliconFlow-Qwen3-Embedding-4B', 'Embedding', 'openai-embedding',
|
||||
'{"modelId":"Qwen/Qwen3-Embedding-4B","apiUrl":"https://api.siliconflow.cn/v1"}',
|
||||
'{"apiKey":"replace-me"}', TRUE, TRUE),
|
||||
'{"apiKey":"replace-me"}', FALSE, TRUE, TRUE),
|
||||
('model_004', 'SiliconFlow-CosyVoice2-0.5B', 'TTS', 'openai-tts',
|
||||
'{"modelId":"FunAudioLLM/CosyVoice2-0.5B","apiUrl":"https://api.siliconflow.cn/v1","voice":"FunAudioLLM/CosyVoice2-0.5B:anna","speed":1.0,"sourceSampleRate":24000}',
|
||||
'{"apiKey":"replace-me"}', TRUE, FALSE),
|
||||
'{"apiKey":"replace-me"}', FALSE, TRUE, FALSE),
|
||||
('model_005', '讯飞语音识别', 'ASR', 'xfyun-asr',
|
||||
'{"apiUrl":"https://iat-api.xfyun.cn/v2/iat","language":"zh_cn","domain":"iat","accent":"mandarin","dynamicCorrection":false,"frameSize":1280}',
|
||||
'{"appId":"replace-me","apiKey":"replace-me","apiSecret":"replace-me"}', TRUE, TRUE),
|
||||
'{"appId":"replace-me","apiKey":"replace-me","apiSecret":"replace-me"}', FALSE, TRUE, TRUE),
|
||||
('model_006', 'Paraformer 识别', 'ASR', 'dashscope-asr',
|
||||
'{"modelId":"paraformer-realtime-v2","apiUrl":"https://dashscope.aliyuncs.com/api/v1/services/audio/asr","language":"zh"}',
|
||||
'{"apiKey":"replace-me"}', TRUE, FALSE),
|
||||
'{"apiKey":"replace-me"}', FALSE, TRUE, FALSE),
|
||||
('model_007', '讯飞语音合成', 'TTS', 'xfyun-tts',
|
||||
'{"apiUrl":"https://tts-api.xfyun.cn/v2/tts","voice":"xiaoyan","speed":50,"volume":50,"pitch":50,"sourceSampleRate":16000}',
|
||||
'{"appId":"replace-me","apiKey":"replace-me","apiSecret":"replace-me"}', TRUE, TRUE),
|
||||
'{"appId":"replace-me","apiKey":"replace-me","apiSecret":"replace-me"}', FALSE, TRUE, TRUE),
|
||||
('model_008', 'CosyVoice 合成', 'TTS', 'dashscope-tts',
|
||||
'{"modelId":"cosyvoice-v1","apiUrl":"https://dashscope.aliyuncs.com/api/v1/services/audio/tts","voice":"longxiaochun"}',
|
||||
'{"apiKey":"replace-me"}', TRUE, FALSE),
|
||||
'{"apiKey":"replace-me"}', FALSE, TRUE, FALSE),
|
||||
('model_009', 'GPT Realtime', 'Realtime', 'openai-realtime',
|
||||
'{"modelId":"gpt-4o-realtime-preview","apiUrl":"https://api.openai.com/v1/realtime"}',
|
||||
'{"apiKey":"replace-me"}', TRUE, TRUE),
|
||||
'{"apiKey":"replace-me"}', FALSE, TRUE, TRUE),
|
||||
('model_010', 'Gemini Live', 'Realtime', 'gemini-realtime',
|
||||
'{"modelId":"gemini-2.0-flash-live","apiUrl":"https://generativelanguage.googleapis.com/v1beta"}',
|
||||
'{"apiKey":"replace-me"}', TRUE, FALSE),
|
||||
'{"apiKey":"replace-me"}', FALSE, TRUE, FALSE),
|
||||
('model_011', 'text-embedding-3', 'Embedding', 'openai-embedding',
|
||||
'{"modelId":"text-embedding-3-small","apiUrl":"https://api.openai.com/v1/embeddings"}',
|
||||
'{"apiKey":"replace-me"}', TRUE, FALSE),
|
||||
'{"apiKey":"replace-me"}', FALSE, TRUE, FALSE),
|
||||
('model_012', 'StepAudio 2.5 Realtime', 'Realtime', 'stepfun-realtime',
|
||||
'{"modelId":"stepaudio-2.5-realtime","apiUrl":"wss://api.stepfun.com/v1/realtime","voice":"linjiajiejie","inputSampleRate":24000,"outputSampleRate":24000,"prefixPaddingMs":500,"silenceDurationMs":300,"energyAwakenessThreshold":2500}',
|
||||
'{"apiKey":"replace-me"}', TRUE, FALSE)
|
||||
'{"apiKey":"replace-me"}', FALSE, TRUE, FALSE),
|
||||
('model_013', 'doubao-seed-2-0-mini-260428', 'LLM', 'openai-llm',
|
||||
'{"modelId":"doubao-seed-2-0-mini-260428","apiUrl":"https://ark.cn-beijing.volces.com/api/v3","temperature":0.7,"extraBody":{"thinking":{"type":"disabled"}}}',
|
||||
'{"apiKey":"replace-me"}', TRUE, TRUE, FALSE)
|
||||
-- Seed defaults must never overwrite resources configured through the UI.
|
||||
ON CONFLICT (id) DO NOTHING;
|
||||
|
||||
@@ -41,6 +41,7 @@ class AssistantConfig(BaseModel):
|
||||
tts_interface_type: str = "openai-tts"
|
||||
llm_values: dict = {}
|
||||
llm_secrets: dict = {}
|
||||
llm_support_image_input: bool = False
|
||||
stt_values: dict = {}
|
||||
stt_secrets: dict = {}
|
||||
tts_values: dict = {}
|
||||
@@ -80,3 +81,4 @@ class SignalingOffer(BaseModel):
|
||||
type: str
|
||||
assistant_id: str | None = None
|
||||
inline_config: AssistantConfig | None = None
|
||||
vision_enabled: bool = False
|
||||
|
||||
@@ -53,6 +53,7 @@ def _resource_out(row: ModelResource) -> ModelResourceOut:
|
||||
interface_type=row.interface_type,
|
||||
values=row.values or {},
|
||||
secrets=mask_secrets(row.secrets or {}),
|
||||
support_image_input=row.support_image_input,
|
||||
enabled=row.enabled,
|
||||
is_default=row.is_default,
|
||||
updated_at=row.updated_at.isoformat() if row.updated_at else None,
|
||||
@@ -140,6 +141,9 @@ async def create_model_resource(
|
||||
interface_type=definition.interface_type,
|
||||
values=body.values,
|
||||
secrets=secrets,
|
||||
support_image_input=body.support_image_input
|
||||
if definition.capability == "LLM"
|
||||
else False,
|
||||
enabled=body.enabled,
|
||||
is_default=body.is_default,
|
||||
)
|
||||
@@ -200,6 +204,7 @@ async def duplicate_model_resource(
|
||||
interface_type=source.interface_type,
|
||||
values=dict(source.values or {}),
|
||||
secrets=dict(source.secrets or {}),
|
||||
support_image_input=source.support_image_input,
|
||||
enabled=source.enabled,
|
||||
is_default=False,
|
||||
)
|
||||
@@ -223,6 +228,9 @@ async def update_model_resource(
|
||||
row.interface_type = definition.interface_type
|
||||
row.values = body.values
|
||||
row.secrets = secrets
|
||||
row.support_image_input = (
|
||||
body.support_image_input if definition.capability == "LLM" else False
|
||||
)
|
||||
row.enabled = body.enabled
|
||||
row.is_default = body.is_default
|
||||
if row.is_default:
|
||||
|
||||
@@ -87,6 +87,8 @@ async def _handle_offer(websocket, payload, peers):
|
||||
await pc.renegotiate(sdp=offer.sdp, type=offer.type, restart_pc=False)
|
||||
else:
|
||||
cfg = await _resolve_config(offer) # 解析放在建连前,配置错就别建连
|
||||
if offer.vision_enabled and not cfg.llm_support_image_input:
|
||||
raise ValueError("当前大语言模型不支持图片输入,请在模型资源中选择支持图片输入的 LLM")
|
||||
pc = SmallWebRTCConnection(ice_servers=aiortc_ice_servers())
|
||||
if pc_id:
|
||||
pc._pc_id = pc_id
|
||||
@@ -98,8 +100,13 @@ async def _handle_offer(websocket, payload, peers):
|
||||
peers.pop(conn.pc_id, None)
|
||||
|
||||
# 后台跑管线:WebRTC transport + 解析出的运行时配置
|
||||
transport = build_webrtc_transport(pc)
|
||||
asyncio.create_task(run_pipeline(transport, cfg))
|
||||
transport = build_webrtc_transport(
|
||||
pc,
|
||||
video_in_enabled=offer.vision_enabled,
|
||||
)
|
||||
asyncio.create_task(
|
||||
run_pipeline(transport, cfg, vision_enabled=offer.vision_enabled)
|
||||
)
|
||||
|
||||
answer = pc.get_answer()
|
||||
if websocket.application_state == WebSocketState.CONNECTED:
|
||||
|
||||
@@ -111,6 +111,7 @@ class ModelResourceUpsert(CamelModel):
|
||||
interface_type: str
|
||||
values: dict[str, Any] = Field(default_factory=dict)
|
||||
secrets: dict[str, Any] = Field(default_factory=dict)
|
||||
support_image_input: bool = False
|
||||
enabled: bool = True
|
||||
is_default: bool = False
|
||||
|
||||
|
||||
@@ -86,6 +86,9 @@ async def resolve_runtime_config(
|
||||
realtimeModel=str(_value(realtime_resource, "modelId", "")),
|
||||
llm_values=(llm_resource.values or {}) if llm_resource else {},
|
||||
llm_secrets=(llm_resource.secrets or {}) if llm_resource else {},
|
||||
llm_support_image_input=(
|
||||
bool(llm_resource.support_image_input) if llm_resource else False
|
||||
),
|
||||
stt_values=(stt_resource.values or {}) if stt_resource else {},
|
||||
stt_secrets=(stt_resource.secrets or {}) if stt_resource else {},
|
||||
tts_values=(tts_resource.values or {}) if tts_resource else {},
|
||||
|
||||
@@ -138,13 +138,6 @@ INTERFACE_DEFINITIONS: list[dict] = [
|
||||
field("textAggregationMode", "Text Aggregation Mode", default="token"),
|
||||
],
|
||||
},
|
||||
{
|
||||
"interface_type": "dashscope-llm",
|
||||
"name": "DashScope LLM",
|
||||
"capability": "LLM",
|
||||
"fields": OPENAI_COMMON
|
||||
+ [field("temperature", "Temperature", type_="number", default=0.7)],
|
||||
},
|
||||
{
|
||||
"interface_type": "dashscope-asr",
|
||||
"name": "DashScope ASR",
|
||||
@@ -165,7 +158,6 @@ INTERFACE_DEFINITIONS: list[dict] = [
|
||||
},
|
||||
]
|
||||
|
||||
|
||||
def validate_fields(definition: dict, values: dict, secrets: dict) -> None:
|
||||
for item in definition["fields"]:
|
||||
source = secrets if item["group"] == "secrets" else values
|
||||
|
||||
@@ -35,6 +35,7 @@ from pipecat.frames.frames import (
|
||||
OutputTransportMessageUrgentFrame,
|
||||
TextFrame,
|
||||
TTSSpeakFrame,
|
||||
UserImageRequestFrame,
|
||||
)
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.worker import PipelineParams, PipelineWorker
|
||||
@@ -45,6 +46,11 @@ from pipecat.processors.aggregators.llm_response_universal import (
|
||||
LLMUserAggregatorParams,
|
||||
)
|
||||
from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
|
||||
from pipecat.runner.utils import (
|
||||
get_transport_client_id,
|
||||
maybe_capture_participant_camera,
|
||||
)
|
||||
from pipecat.services.llm_service import FunctionCallParams
|
||||
from pipecat.turns.user_start import (
|
||||
TranscriptionUserTurnStartStrategy,
|
||||
VADUserTurnStartStrategy,
|
||||
@@ -54,6 +60,13 @@ from pipecat.utils.time import time_now_iso8601
|
||||
from pipecat.workers.runner import WorkerRunner
|
||||
|
||||
|
||||
VISION_TOOL_NAME = "fetch_user_image"
|
||||
VISION_SYSTEM_HINT = (
|
||||
"当前会话打开了视觉理解。用户询问当前画面、摄像头里有什么、人物/物品/"
|
||||
"环境状态或需要你看一眼时,调用 fetch_user_image 获取当前视频帧,再基于画面回答。"
|
||||
)
|
||||
|
||||
|
||||
def _text_input(message) -> tuple[str, bool] | None:
|
||||
"""解析现有 user-text 与 RTVI send-text 两种前端文字消息。"""
|
||||
if not isinstance(message, dict):
|
||||
@@ -204,7 +217,12 @@ class PassthroughLLMAssistantAggregator(LLMAssistantAggregator):
|
||||
self._stream_text = ""
|
||||
|
||||
|
||||
async def run_pipeline(transport, cfg: AssistantConfig) -> None:
|
||||
async def run_pipeline(
|
||||
transport,
|
||||
cfg: AssistantConfig,
|
||||
*,
|
||||
vision_enabled: bool = False,
|
||||
) -> None:
|
||||
"""在给定 transport 上构建并运行管线,直到连接结束。
|
||||
|
||||
Args:
|
||||
@@ -212,7 +230,10 @@ async def run_pipeline(transport, cfg: AssistantConfig) -> None:
|
||||
只要有 .input() / .output() / event_handler 即可。
|
||||
cfg: 助手配置(随请求内联传入)。
|
||||
"""
|
||||
logger.info(f"启动管线: assistant={cfg.name} type={cfg.type} mode={cfg.runtimeMode}")
|
||||
logger.info(
|
||||
f"启动管线: assistant={cfg.name} type={cfg.type} "
|
||||
f"mode={cfg.runtimeMode} vision={vision_enabled}"
|
||||
)
|
||||
|
||||
# 大脑:按类型决定 LLM 槽/开场白/上下文归属。每通电话一个实例(可持会话状态)。
|
||||
brain = build_brain(cfg)
|
||||
@@ -224,6 +245,8 @@ async def run_pipeline(transport, cfg: AssistantConfig) -> None:
|
||||
cfg.runtimeMode = "pipeline"
|
||||
|
||||
if cfg.runtimeMode == "realtime":
|
||||
if vision_enabled:
|
||||
logger.warning("Realtime 模式暂未接入视频帧工具,本次仅启用语音通话")
|
||||
await run_realtime_pipeline(transport, cfg)
|
||||
return
|
||||
|
||||
@@ -263,7 +286,16 @@ async def run_pipeline(transport, cfg: AssistantConfig) -> None:
|
||||
greeting = await brain.greeting(cfg)
|
||||
system_content = ""
|
||||
|
||||
context = LLMContext(messages=[{"role": "system", "content": system_content}])
|
||||
def with_vision_hint(text: str) -> str:
|
||||
if not vision_enabled:
|
||||
return text
|
||||
if not text:
|
||||
return VISION_SYSTEM_HINT
|
||||
return f"{text}\n\n{VISION_SYSTEM_HINT}"
|
||||
|
||||
context = LLMContext(
|
||||
messages=[{"role": "system", "content": with_vision_hint(system_content)}]
|
||||
)
|
||||
# LLM 槽由大脑提供:内部类型=OpenAI 兼容服务;fastgpt=包 SDK 的伪 LLM。
|
||||
llm = brain.build_llm(cfg, context)
|
||||
user_aggregator = LLMUserAggregator(
|
||||
@@ -282,6 +314,58 @@ async def run_pipeline(transport, cfg: AssistantConfig) -> None:
|
||||
)
|
||||
assistant_aggregator = PassthroughLLMAssistantAggregator(context)
|
||||
text_input = TextInputProcessor()
|
||||
vision_state: dict[str, str | None] = {"client_id": None}
|
||||
vision_schema = FunctionSchema(
|
||||
name=VISION_TOOL_NAME,
|
||||
description=(
|
||||
"获取用户当前摄像头画面。当用户询问当前画面、看到了什么、"
|
||||
"人/物品/环境状态或需要视觉判断时调用。"
|
||||
),
|
||||
properties={
|
||||
"question": {
|
||||
"type": "string",
|
||||
"description": "用户关于当前视频画面的具体问题。",
|
||||
}
|
||||
},
|
||||
required=["question"],
|
||||
)
|
||||
|
||||
async def fetch_user_image(params: FunctionCallParams):
|
||||
question = str(params.arguments.get("question") or "请描述当前画面。")
|
||||
user_id = vision_state.get("client_id")
|
||||
if not user_id:
|
||||
await params.result_callback(
|
||||
{
|
||||
"status": "no_video_client",
|
||||
"message": "当前还没有可用的摄像头视频流。",
|
||||
}
|
||||
)
|
||||
return
|
||||
|
||||
logger.debug(f"请求当前视频帧: user_id={user_id}, question={question}")
|
||||
await params.llm.push_frame(
|
||||
UserImageRequestFrame(
|
||||
user_id=user_id,
|
||||
text=question,
|
||||
append_to_context=True,
|
||||
function_name=params.function_name,
|
||||
tool_call_id=params.tool_call_id,
|
||||
result_callback=params.result_callback,
|
||||
),
|
||||
FrameDirection.UPSTREAM,
|
||||
)
|
||||
|
||||
if vision_enabled:
|
||||
llm.register_function(VISION_TOOL_NAME, fetch_user_image)
|
||||
|
||||
def set_visible_tools(schemas: list[FunctionSchema] | None = None) -> None:
|
||||
tools = list(schemas or [])
|
||||
if vision_enabled:
|
||||
tools.append(vision_schema)
|
||||
if tools:
|
||||
context.set_tools(ToolsSchema(standard_tools=tools))
|
||||
else:
|
||||
context.set_tools()
|
||||
|
||||
# 结束节点:等结束语「说完」(BotStoppedSpeakingFrame)再挂断,确保结束语的
|
||||
# 文字(走 data channel)与音频都已下发,避免前端只听到声音、看不到文字。
|
||||
@@ -366,16 +450,17 @@ async def run_pipeline(transport, cfg: AssistantConfig) -> None:
|
||||
def set_system_prompt(text: str) -> None:
|
||||
"""替换上下文里的系统提示(节点切换时整体替换,而非追加)。"""
|
||||
messages = context.get_messages()
|
||||
content = with_vision_hint(text)
|
||||
if messages and messages[0].get("role") == "system":
|
||||
messages[0] = {"role": "system", "content": text}
|
||||
messages[0] = {"role": "system", "content": content}
|
||||
else:
|
||||
messages.insert(0, {"role": "system", "content": text})
|
||||
messages.insert(0, {"role": "system", "content": content})
|
||||
|
||||
def apply_node(node_id: str | None) -> None:
|
||||
"""进入节点:设置系统提示 + 把出边注册为可调用的转移工具。"""
|
||||
set_system_prompt(engine.system_prompt_for(node_id))
|
||||
if engine.is_end(node_id):
|
||||
context.set_tools() # 终止节点无工具
|
||||
set_visible_tools([]) # 终止节点不展示转移工具,但保留视觉工具
|
||||
return
|
||||
schemas = [
|
||||
FunctionSchema(
|
||||
@@ -386,10 +471,7 @@ async def run_pipeline(transport, cfg: AssistantConfig) -> None:
|
||||
)
|
||||
for edge in engine.outgoing(node_id)
|
||||
]
|
||||
if schemas:
|
||||
context.set_tools(ToolsSchema(standard_tools=schemas))
|
||||
else:
|
||||
context.set_tools() # 无出边:清空工具
|
||||
set_visible_tools(schemas)
|
||||
|
||||
async def go_to_node(target: str) -> None:
|
||||
"""执行转移:切当前节点、重置计数、点亮画布、设置提示/工具。
|
||||
@@ -455,6 +537,8 @@ async def run_pipeline(transport, cfg: AssistantConfig) -> None:
|
||||
engine.edge_fn_name(edge), make_transition_handler(edge)
|
||||
)
|
||||
apply_node(wf_state["current"]) # 设初始节点的提示与工具
|
||||
elif vision_enabled:
|
||||
set_visible_tools([])
|
||||
|
||||
async def append_user_text_to_context(text: str, *, run_llm: bool) -> None:
|
||||
await worker.queue_frame(
|
||||
@@ -559,6 +643,16 @@ async def run_pipeline(transport, cfg: AssistantConfig) -> None:
|
||||
|
||||
@transport.event_handler("on_client_connected")
|
||||
async def on_client_connected(_transport, _client):
|
||||
if vision_enabled:
|
||||
try:
|
||||
vision_state["client_id"] = get_transport_client_id(
|
||||
_transport,
|
||||
_client,
|
||||
)
|
||||
await maybe_capture_participant_camera(_transport, _client)
|
||||
logger.info(f"视觉理解已接入视频客户端: {vision_state['client_id']}")
|
||||
except Exception as e:
|
||||
logger.warning(f"视觉理解摄像头捕获初始化失败: {e}")
|
||||
if greeting:
|
||||
# 外部托管类型的上下文由对方服务端维护,开场白不写入本地 context
|
||||
if brain.spec.owns_context:
|
||||
|
||||
@@ -72,10 +72,15 @@ def create_llm(cfg: AssistantConfig):
|
||||
"""DeepSeek 等,走 OpenAI 兼容的 /v1/chat/completions。"""
|
||||
if cfg.llm_interface_type not in {"openai-llm", "dashscope-llm"}:
|
||||
raise ValueError(f"不支持的 LLM 接口类型: {cfg.llm_interface_type}")
|
||||
extra_body = cfg.llm_values.get("extraBody")
|
||||
extra = {"extra_body": extra_body} if isinstance(extra_body, dict) else {}
|
||||
return OpenAILLMService(
|
||||
api_key=cfg.llm_api_key or config.LLM_API_KEY,
|
||||
base_url=cfg.llm_base_url or config.LLM_BASE_URL,
|
||||
settings=OpenAILLMService.Settings(model=cfg.model or config.LLM_MODEL),
|
||||
settings=OpenAILLMService.Settings(
|
||||
model=cfg.model or config.LLM_MODEL,
|
||||
extra=extra,
|
||||
),
|
||||
)
|
||||
|
||||
|
||||
|
||||
@@ -24,21 +24,26 @@ from pipecat.transports.websocket.fastapi import (
|
||||
from pipecat.serializers.protobuf import ProtobufFrameSerializer
|
||||
|
||||
|
||||
def _base_params() -> dict:
|
||||
def _base_params(*, video_in_enabled: bool = False) -> dict:
|
||||
"""两种 transport 共享的音频参数。"""
|
||||
return dict(
|
||||
audio_in_enabled=True,
|
||||
audio_out_enabled=True,
|
||||
video_in_enabled=video_in_enabled,
|
||||
# EndFrame 后默认补 2s 静音(防止收尾被截断)。我们的挂断已等到机器人
|
||||
# 说完才触发,这段静音纯属空等,置 0 让结束语播完立即挂断。
|
||||
audio_out_end_silence_secs=0,
|
||||
)
|
||||
|
||||
|
||||
def build_webrtc_transport(connection: SmallWebRTCConnection) -> SmallWebRTCTransport:
|
||||
def build_webrtc_transport(
|
||||
connection: SmallWebRTCConnection,
|
||||
*,
|
||||
video_in_enabled: bool = False,
|
||||
) -> SmallWebRTCTransport:
|
||||
return SmallWebRTCTransport(
|
||||
webrtc_connection=connection,
|
||||
params=TransportParams(**_base_params()),
|
||||
params=TransportParams(**_base_params(video_in_enabled=video_in_enabled)),
|
||||
)
|
||||
|
||||
|
||||
|
||||
@@ -426,10 +426,35 @@ export function AssistantPage(props: AssistantPageProps) {
|
||||
// 按资源类型生成 {value:id, label:name} 选项
|
||||
const credOptions = (type: ModelResource["capability"]) =>
|
||||
modelResources
|
||||
.filter((c) => c.capability === type)
|
||||
.filter((c) => {
|
||||
if (c.capability !== type) return false;
|
||||
if (type === "LLM" && visionEnabled) return c.supportImageInput;
|
||||
return true;
|
||||
})
|
||||
.map((c) => ({ value: c.id, label: c.name }));
|
||||
const kbOptions = knowledgeBases.map((k) => ({ value: k.id, label: k.name }));
|
||||
|
||||
function modelSupportsImageInput(resourceId: string): boolean {
|
||||
return Boolean(
|
||||
modelResources.find((resource) => resource.id === resourceId)
|
||||
?.supportImageInput,
|
||||
);
|
||||
}
|
||||
|
||||
function handleVisionEnabledChange(enabled: boolean) {
|
||||
setVisionEnabled(enabled);
|
||||
if (enabled && form.model && !modelSupportsImageInput(form.model)) {
|
||||
updateForm("model", "");
|
||||
}
|
||||
if (
|
||||
enabled &&
|
||||
openCodeForm.model &&
|
||||
!modelSupportsImageInput(openCodeForm.model)
|
||||
) {
|
||||
updateOpenCodeForm("model", "");
|
||||
}
|
||||
}
|
||||
|
||||
function startCreate() {
|
||||
router.push("/assistants/new");
|
||||
}
|
||||
@@ -1369,7 +1394,7 @@ export function AssistantPage(props: AssistantPageProps) {
|
||||
>
|
||||
<ToggleRow
|
||||
title="允许用户打断"
|
||||
description="用户说话时,助手可以停止当前播报并重新理解用户输入"
|
||||
hint="用户说话时,助手可以停止当前播报并重新理解用户输入。"
|
||||
checked={difyForm.enableInterrupt}
|
||||
onChange={(checked) =>
|
||||
updateDifyForm("enableInterrupt", checked)
|
||||
@@ -1483,7 +1508,7 @@ export function AssistantPage(props: AssistantPageProps) {
|
||||
>
|
||||
<ToggleRow
|
||||
title="允许用户打断"
|
||||
description="用户说话时,助手可以停止当前播报并重新理解用户输入"
|
||||
hint="用户说话时,助手可以停止当前播报并重新理解用户输入。"
|
||||
checked={fastGptForm.enableInterrupt}
|
||||
onChange={(checked) =>
|
||||
updateFastGptForm("enableInterrupt", checked)
|
||||
@@ -1572,6 +1597,12 @@ export function AssistantPage(props: AssistantPageProps) {
|
||||
title="模型与语音配置"
|
||||
description="配置 OpenCode 使用的大语言模型、语音识别与语音合成资源。"
|
||||
>
|
||||
<ToggleRow
|
||||
title="视觉理解"
|
||||
hint="开启后,大语言模型只能选择支持图片输入的资源;开始对话时会允许助手按需理解当前视频画面。"
|
||||
checked={visionEnabled}
|
||||
onChange={handleVisionEnabledChange}
|
||||
/>
|
||||
<ResourceSelectField
|
||||
label="大语言模型"
|
||||
value={openCodeForm.model}
|
||||
@@ -1602,7 +1633,7 @@ export function AssistantPage(props: AssistantPageProps) {
|
||||
>
|
||||
<ToggleRow
|
||||
title="允许用户打断"
|
||||
description="用户说话时,助手可以停止当前播报并重新理解用户输入"
|
||||
hint="用户说话时,助手可以停止当前播报并重新理解用户输入。"
|
||||
checked={openCodeForm.enableInterrupt}
|
||||
onChange={(checked) =>
|
||||
updateOpenCodeForm("enableInterrupt", checked)
|
||||
@@ -1724,15 +1755,6 @@ export function AssistantPage(props: AssistantPageProps) {
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div className="mt-4 border-t border-hairline pt-4">
|
||||
<ToggleRow
|
||||
icon={<Eye size={16} />}
|
||||
title="视觉理解"
|
||||
hint="开启后,右侧调试面板可切换到视频流预览,并可同时选择麦克风与摄像头。"
|
||||
checked={visionEnabled}
|
||||
onChange={setVisionEnabled}
|
||||
/>
|
||||
</div>
|
||||
</SectionCard>
|
||||
|
||||
<SectionCard
|
||||
@@ -1754,6 +1776,12 @@ export function AssistantPage(props: AssistantPageProps) {
|
||||
title="模型配置"
|
||||
description="从「模型资源」中选择大语言模型、语音识别与语音合成"
|
||||
>
|
||||
<ToggleRow
|
||||
title="视觉理解"
|
||||
hint="开启后,大语言模型只能选择支持图片输入的资源;开始对话时会允许助手按需理解当前视频画面。"
|
||||
checked={visionEnabled}
|
||||
onChange={handleVisionEnabledChange}
|
||||
/>
|
||||
<ResourceSelectField
|
||||
label="大语言模型"
|
||||
value={form.model}
|
||||
@@ -1824,7 +1852,7 @@ export function AssistantPage(props: AssistantPageProps) {
|
||||
>
|
||||
<ToggleRow
|
||||
title="允许用户打断"
|
||||
description="用户说话时,助手可以停止当前播报并重新理解用户输入"
|
||||
hint="用户说话时,助手可以停止当前播报并重新理解用户输入。"
|
||||
checked={form.enableInterrupt}
|
||||
onChange={(checked) => updateForm("enableInterrupt", checked)}
|
||||
/>
|
||||
@@ -1839,7 +1867,7 @@ export function AssistantPage(props: AssistantPageProps) {
|
||||
|
||||
type VizStyle = "aura" | "nebula" | "bars" | "wave";
|
||||
|
||||
// 调试面板顶部主视图:聊天记录 / 视频流(仅视觉理解开启时可选)
|
||||
// 调试面板顶部主视图:聊天记录 / 视频流
|
||||
type DebugView = "chat" | "video";
|
||||
type DebugInputMode = "mic" | "text";
|
||||
|
||||
@@ -1919,28 +1947,27 @@ function DebugDrawer({
|
||||
const [showTranscript, setShowTranscript] = useState(false);
|
||||
const [vizStyle, setVizStyle] = useState<VizStyle>("aura");
|
||||
const [view, setView] = useState<DebugView>("chat");
|
||||
const effectiveView: DebugView = vision ? view : "chat";
|
||||
const stopCamera = camera.stop;
|
||||
const startCamera = camera.start;
|
||||
const cameraShouldRun =
|
||||
vision &&
|
||||
(preview.status === "connecting" || preview.status === "connected");
|
||||
const recording =
|
||||
preview.status === "connecting" || preview.status === "connected";
|
||||
const shouldKeepCamera = vision && recording;
|
||||
|
||||
useEffect(() => {
|
||||
if (!vision) {
|
||||
// eslint-disable-next-line react-hooks/set-state-in-effect
|
||||
setView("chat");
|
||||
stopCamera();
|
||||
}
|
||||
}, [vision, stopCamera]);
|
||||
|
||||
useEffect(() => {
|
||||
if (cameraShouldRun) {
|
||||
if (shouldKeepCamera) {
|
||||
void startCamera();
|
||||
} else {
|
||||
stopCamera();
|
||||
}
|
||||
}, [cameraShouldRun, camera.deviceId, startCamera, stopCamera]);
|
||||
}, [shouldKeepCamera, startCamera, stopCamera]);
|
||||
|
||||
const selectCamera = useCallback(
|
||||
async (deviceId: string) => {
|
||||
const nextStream = await camera.selectCamera(deviceId);
|
||||
await preview.replaceVideoStream(nextStream);
|
||||
},
|
||||
[camera, preview],
|
||||
);
|
||||
|
||||
const containerClass = asSheet
|
||||
? "flex h-full min-w-0 flex-1 flex-col overflow-hidden"
|
||||
@@ -1959,7 +1986,7 @@ function DebugDrawer({
|
||||
/>
|
||||
</div>
|
||||
<div className="flex shrink-0 items-center gap-2">
|
||||
{SHOW_VOICE_VIZ && effectiveView === "chat" && (
|
||||
{SHOW_VOICE_VIZ && view === "chat" && (
|
||||
<>
|
||||
{!showTranscript && (
|
||||
<SegmentedIconGroup label="可视化样式">
|
||||
@@ -1995,33 +2022,29 @@ function DebugDrawer({
|
||||
)}
|
||||
<SegmentedIconGroup label="预览视图">
|
||||
<SegmentedIconButton
|
||||
selected={effectiveView === "chat"}
|
||||
selected={view === "chat"}
|
||||
label="聊天记录"
|
||||
onClick={() => setView("chat")}
|
||||
>
|
||||
<MessageSquareText size={14} />
|
||||
</SegmentedIconButton>
|
||||
{vision && (
|
||||
<SegmentedIconButton
|
||||
selected={effectiveView === "video"}
|
||||
label="视频流"
|
||||
onClick={() => setView("video")}
|
||||
>
|
||||
<Video size={14} />
|
||||
</SegmentedIconButton>
|
||||
)}
|
||||
<SegmentedIconButton
|
||||
selected={view === "video"}
|
||||
label="视频流"
|
||||
onClick={() => setView("video")}
|
||||
>
|
||||
<Video size={14} />
|
||||
</SegmentedIconButton>
|
||||
</SegmentedIconGroup>
|
||||
</div>
|
||||
</div>
|
||||
{vision && (
|
||||
<div className="shrink-0 border-b border-hairline px-5 py-2.5">
|
||||
<div className="flex h-10 min-w-0 items-center rounded-[1.4rem] border border-hairline-strong bg-background px-2">
|
||||
<CameraDeviceField camera={camera} />
|
||||
</div>
|
||||
<div className="shrink-0 border-b border-hairline px-5 py-2.5">
|
||||
<div className="flex h-10 min-w-0 items-center rounded-[1.4rem] border border-hairline-strong bg-background px-2">
|
||||
<CameraDeviceField camera={camera} onSelect={selectCamera} />
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
<DebugVoicePanel
|
||||
view={effectiveView}
|
||||
view={view}
|
||||
showTranscript={showTranscript}
|
||||
vizStyle={vizStyle}
|
||||
assistantId={assistantId}
|
||||
@@ -2100,7 +2123,13 @@ function MicrophoneDeviceField({ preview }: { preview: VoicePreview }) {
|
||||
);
|
||||
}
|
||||
|
||||
function CameraDeviceField({ camera }: { camera: CameraPreview }) {
|
||||
function CameraDeviceField({
|
||||
camera,
|
||||
onSelect,
|
||||
}: {
|
||||
camera: CameraPreview;
|
||||
onSelect?: (deviceId: string) => void | Promise<void>;
|
||||
}) {
|
||||
return (
|
||||
<DeviceSelectField
|
||||
icon={<Video size={15} className="shrink-0 text-muted-soft" />}
|
||||
@@ -2109,7 +2138,7 @@ function CameraDeviceField({ camera }: { camera: CameraPreview }) {
|
||||
fallbackLabel="摄像头"
|
||||
value={camera.deviceId}
|
||||
devices={camera.devices}
|
||||
onSelect={(deviceId) => void camera.selectCamera(deviceId)}
|
||||
onSelect={(deviceId) => void (onSelect ?? camera.selectCamera)(deviceId)}
|
||||
/>
|
||||
);
|
||||
}
|
||||
@@ -2179,9 +2208,8 @@ function DebugVoicePanel({
|
||||
const inChatView = view === "chat" && (!SHOW_VOICE_VIZ || showTranscript);
|
||||
const idleOrFailed = status === "idle" || status === "failed";
|
||||
const showIdleHub =
|
||||
messages.length === 0 &&
|
||||
idleOrFailed &&
|
||||
(inChatView || (vision && view === "video"));
|
||||
(view === "video" || (messages.length === 0 && inChatView));
|
||||
|
||||
function handleSendText() {
|
||||
if (sendText(textDraft)) {
|
||||
@@ -2189,26 +2217,36 @@ function DebugVoicePanel({
|
||||
}
|
||||
}
|
||||
|
||||
const startConversation = useCallback(async () => {
|
||||
const videoStream = vision ? await camera.start() : null;
|
||||
await connect({
|
||||
visionEnabled: vision,
|
||||
videoStream,
|
||||
});
|
||||
}, [camera, connect, vision]);
|
||||
|
||||
return (
|
||||
<div className="flex min-h-0 flex-1 flex-col">
|
||||
{/* 后端 TTS 音频经 WebRTC 媒体流过来,挂这里播放 */}
|
||||
<audio ref={audioRef} autoPlay playsInline className="hidden" />
|
||||
{view === "video" && showIdleHub ? (
|
||||
<DebugIdleHub
|
||||
status={status}
|
||||
error={error}
|
||||
assistantId={assistantId}
|
||||
connect={connect}
|
||||
/>
|
||||
) : view === "video" ? (
|
||||
<DebugVideoPanel camera={camera} />
|
||||
{view === "video" ? (
|
||||
showIdleHub ? (
|
||||
<DebugIdleHub
|
||||
status={status}
|
||||
error={error}
|
||||
assistantId={assistantId}
|
||||
connect={startConversation}
|
||||
/>
|
||||
) : (
|
||||
<DebugVideoPanel camera={camera} />
|
||||
)
|
||||
) : !SHOW_VOICE_VIZ || showTranscript ? (
|
||||
showIdleHub ? (
|
||||
<DebugIdleHub
|
||||
status={status}
|
||||
error={error}
|
||||
assistantId={assistantId}
|
||||
connect={connect}
|
||||
connect={startConversation}
|
||||
/>
|
||||
) : (
|
||||
<DebugTranscriptPanel messages={messages} recording={recording} />
|
||||
@@ -2283,7 +2321,7 @@ function DebugVoicePanel({
|
||||
if (recording) {
|
||||
disconnect();
|
||||
} else {
|
||||
void connect();
|
||||
void startConversation();
|
||||
}
|
||||
}}
|
||||
className={[
|
||||
@@ -2372,7 +2410,7 @@ function DebugVoicePanel({
|
||||
if (recording) {
|
||||
disconnect();
|
||||
} else {
|
||||
void connect();
|
||||
void startConversation();
|
||||
}
|
||||
}}
|
||||
className={[
|
||||
|
||||
@@ -5,6 +5,7 @@ import {
|
||||
ChevronDown,
|
||||
ChevronUp,
|
||||
Copy,
|
||||
Eye,
|
||||
Loader2,
|
||||
MoreHorizontal,
|
||||
Pencil,
|
||||
@@ -37,6 +38,8 @@ import { FilterPills } from "@/components/ui/filter-pills";
|
||||
import { SearchInput } from "@/components/ui/search-input";
|
||||
import { ListToolbar } from "@/components/ui/list-toolbar";
|
||||
import { Input } from "@/components/ui/input";
|
||||
import { Switch } from "@/components/ui/switch";
|
||||
import { Textarea } from "@/components/ui/textarea";
|
||||
import {
|
||||
Select,
|
||||
SelectContent,
|
||||
@@ -69,6 +72,7 @@ type ResourceDraft = {
|
||||
interfaceType: string;
|
||||
values: Record<string, unknown>;
|
||||
secrets: Record<string, unknown>;
|
||||
supportImageInput: boolean;
|
||||
};
|
||||
|
||||
const emptyDraft: ResourceDraft = {
|
||||
@@ -77,6 +81,7 @@ const emptyDraft: ResourceDraft = {
|
||||
interfaceType: "",
|
||||
values: {},
|
||||
secrets: {},
|
||||
supportImageInput: false,
|
||||
};
|
||||
|
||||
function defaults(definition: InterfaceDefinition): Record<string, unknown> {
|
||||
@@ -115,6 +120,44 @@ function fieldValue(draft: ResourceDraft, field: InterfaceField): unknown {
|
||||
: draft.values[field.key];
|
||||
}
|
||||
|
||||
function extraBodyText(values: Record<string, unknown>): string {
|
||||
const value = values.extraBody;
|
||||
if (!value || typeof value !== "object" || Array.isArray(value)) return "";
|
||||
return JSON.stringify(value, null, 2);
|
||||
}
|
||||
|
||||
function parseExtraBody(text: string):
|
||||
| { ok: true; value: Record<string, unknown> | null }
|
||||
| { ok: false; error: string } {
|
||||
const trimmed = text.trim();
|
||||
if (!trimmed) return { ok: true, value: null };
|
||||
try {
|
||||
const parsed = JSON.parse(trimmed) as unknown;
|
||||
if (!parsed || typeof parsed !== "object" || Array.isArray(parsed)) {
|
||||
return { ok: false, error: "Extra Body 必须是 JSON 对象" };
|
||||
}
|
||||
return { ok: true, value: parsed as Record<string, unknown> };
|
||||
} catch {
|
||||
return { ok: false, error: "Extra Body 不是合法 JSON" };
|
||||
}
|
||||
}
|
||||
|
||||
function valuesWithExtraBody(
|
||||
values: Record<string, unknown>,
|
||||
extraBody: Record<string, unknown> | null,
|
||||
): Record<string, unknown> {
|
||||
const next = { ...values };
|
||||
delete next.extraBody;
|
||||
if (extraBody) next.extraBody = extraBody;
|
||||
return next;
|
||||
}
|
||||
|
||||
function isSelectableDefinition(definition: InterfaceDefinition): boolean {
|
||||
return (
|
||||
definition.capability !== "LLM" || definition.interfaceType === "openai-llm"
|
||||
);
|
||||
}
|
||||
|
||||
export function ComponentsModelsPage() {
|
||||
const [resources, setResources] = useState<ModelResource[]>([]);
|
||||
const [definitions, setDefinitions] = useState<InterfaceDefinition[]>([]);
|
||||
@@ -128,6 +171,7 @@ export function ComponentsModelsPage() {
|
||||
const [dialogOpen, setDialogOpen] = useState(false);
|
||||
const [editingId, setEditingId] = useState<string | null>(null);
|
||||
const [draft, setDraft] = useState<ResourceDraft>(emptyDraft);
|
||||
const [extraBodyDraft, setExtraBodyDraft] = useState("");
|
||||
const [saving, setSaving] = useState(false);
|
||||
const [saveError, setSaveError] = useState("");
|
||||
const [testing, setTesting] = useState(false);
|
||||
@@ -161,7 +205,8 @@ export function ComponentsModelsPage() {
|
||||
void load();
|
||||
}, [load]);
|
||||
|
||||
const availableDefinitions = definitions.filter(
|
||||
const selectableDefinitions = definitions.filter(isSelectableDefinition);
|
||||
const availableDefinitions = selectableDefinitions.filter(
|
||||
(definition) => definition.capability === draft.capability,
|
||||
);
|
||||
const selectedDefinition = definitions.find(
|
||||
@@ -239,11 +284,12 @@ export function ComponentsModelsPage() {
|
||||
values: definition ? defaults(definition) : {},
|
||||
secrets: {},
|
||||
}));
|
||||
setExtraBodyDraft("");
|
||||
setTestResult(null);
|
||||
}
|
||||
|
||||
function selectCapability(capability: ModelType) {
|
||||
const first = definitions.find(
|
||||
const first = selectableDefinitions.find(
|
||||
(definition) => definition.capability === capability,
|
||||
);
|
||||
setDraft((previous) => ({
|
||||
@@ -252,12 +298,15 @@ export function ComponentsModelsPage() {
|
||||
interfaceType: first?.interfaceType ?? "",
|
||||
values: first ? defaults(first) : {},
|
||||
secrets: {},
|
||||
supportImageInput:
|
||||
capability === "LLM" ? previous.supportImageInput : false,
|
||||
}));
|
||||
setExtraBodyDraft("");
|
||||
setTestResult(null);
|
||||
}
|
||||
|
||||
function openCreate() {
|
||||
const first = definitions.find(
|
||||
const first = selectableDefinitions.find(
|
||||
(definition) => definition.capability === "LLM",
|
||||
);
|
||||
setEditingId(null);
|
||||
@@ -265,7 +314,9 @@ export function ComponentsModelsPage() {
|
||||
...emptyDraft,
|
||||
interfaceType: first?.interfaceType ?? "",
|
||||
values: first ? defaults(first) : {},
|
||||
supportImageInput: false,
|
||||
});
|
||||
setExtraBodyDraft("");
|
||||
setSaveError("");
|
||||
setTestResult(null);
|
||||
setDialogOpen(true);
|
||||
@@ -279,7 +330,9 @@ export function ComponentsModelsPage() {
|
||||
interfaceType: resource.interfaceType,
|
||||
values: resource.values,
|
||||
secrets: resource.secrets,
|
||||
supportImageInput: resource.supportImageInput,
|
||||
});
|
||||
setExtraBodyDraft(extraBodyText(resource.values));
|
||||
setSaveError("");
|
||||
setTestResult(null);
|
||||
setDialogOpen(true);
|
||||
@@ -294,9 +347,12 @@ export function ComponentsModelsPage() {
|
||||
setTestResult(null);
|
||||
}
|
||||
|
||||
const parsedExtraBody = parseExtraBody(extraBodyDraft);
|
||||
const extraBodyError = parsedExtraBody.ok ? "" : parsedExtraBody.error;
|
||||
const canSave = Boolean(
|
||||
draft.name.trim() &&
|
||||
selectedDefinition &&
|
||||
!extraBodyError &&
|
||||
selectedDefinition.fieldSchema.fields.every((field) => {
|
||||
if (!field.required) return true;
|
||||
const value = fieldValue(draft, field);
|
||||
@@ -305,11 +361,17 @@ export function ComponentsModelsPage() {
|
||||
);
|
||||
|
||||
function payload() {
|
||||
const extraBody = parsedExtraBody.ok ? parsedExtraBody.value : null;
|
||||
return {
|
||||
name: draft.name.trim(),
|
||||
interfaceType: draft.interfaceType,
|
||||
values: draft.values,
|
||||
values:
|
||||
draft.capability === "LLM"
|
||||
? valuesWithExtraBody(draft.values, extraBody)
|
||||
: draft.values,
|
||||
secrets: draft.secrets,
|
||||
supportImageInput:
|
||||
draft.capability === "LLM" ? draft.supportImageInput : false,
|
||||
enabled: editingId
|
||||
? resources.find((resource) => resource.id === editingId)?.enabled ?? true
|
||||
: true,
|
||||
@@ -457,8 +519,19 @@ export function ComponentsModelsPage() {
|
||||
width: "md:w-[360px]",
|
||||
cell: (resource) => (
|
||||
<>
|
||||
<div className="truncate font-medium text-foreground">
|
||||
{resource.name}
|
||||
<div className="flex min-w-0 items-center gap-2">
|
||||
<span className="truncate font-medium text-foreground">
|
||||
{resource.name}
|
||||
</span>
|
||||
{resource.supportImageInput && (
|
||||
<span
|
||||
className="flex h-5 w-5 shrink-0 items-center justify-center rounded-full bg-surface-strong text-muted-foreground"
|
||||
title="支持图片输入"
|
||||
aria-label="支持图片输入"
|
||||
>
|
||||
<Eye size={12} />
|
||||
</span>
|
||||
)}
|
||||
</div>
|
||||
<div className="mt-1 truncate text-xs text-muted-soft">
|
||||
{String(
|
||||
@@ -652,6 +725,20 @@ export function ComponentsModelsPage() {
|
||||
</Select>
|
||||
</Field>
|
||||
</div>
|
||||
{draft.capability === "LLM" && (
|
||||
<div className="flex items-center justify-between rounded-xl border border-hairline p-4">
|
||||
<span className="text-sm font-medium">支持图片输入</span>
|
||||
<Switch
|
||||
checked={draft.supportImageInput}
|
||||
onCheckedChange={(checked) =>
|
||||
setDraft((previous) => ({
|
||||
...previous,
|
||||
supportImageInput: checked,
|
||||
}))
|
||||
}
|
||||
/>
|
||||
</div>
|
||||
)}
|
||||
</FieldSection>
|
||||
|
||||
<FieldSection title="连接与鉴权信息" scrollable fill>
|
||||
@@ -667,6 +754,25 @@ export function ComponentsModelsPage() {
|
||||
</div>
|
||||
|
||||
<FieldSection title="可选项" scrollable tall>
|
||||
{draft.capability === "LLM" && (
|
||||
<Field label="Extra Body">
|
||||
<Textarea
|
||||
rows={7}
|
||||
value={extraBodyDraft}
|
||||
onChange={(event) => {
|
||||
setExtraBodyDraft(event.target.value);
|
||||
setTestResult(null);
|
||||
}}
|
||||
placeholder={'例如:{\n "thinking": { "type": "disabled" }\n}'}
|
||||
className="font-mono text-xs leading-5"
|
||||
/>
|
||||
{extraBodyError && (
|
||||
<div className="text-xs text-destructive">
|
||||
{extraBodyError}
|
||||
</div>
|
||||
)}
|
||||
</Field>
|
||||
)}
|
||||
{optionalFields.length > 0 ? (
|
||||
optionalFields.map((field) => (
|
||||
<DynamicField
|
||||
@@ -676,7 +782,7 @@ export function ComponentsModelsPage() {
|
||||
onChange={(value) => updateField(field, value)}
|
||||
/>
|
||||
))
|
||||
) : (
|
||||
) : draft.capability === "LLM" ? null : (
|
||||
<div className="flex h-full items-center justify-center text-sm text-muted-foreground">
|
||||
当前接口没有可选项
|
||||
</div>
|
||||
|
||||
@@ -3,9 +3,8 @@
|
||||
/**
|
||||
* 摄像头预览:纯前端 getUserMedia 视频流,供调试抽屉的「视频流」视图使用。
|
||||
*
|
||||
* 与 use-voice-preview 分离:麦克风/语音会话走 WebRTC 到后端,摄像头目前只在
|
||||
* 本地预览。后续接入视觉理解管线时,把这条 video track 加进现有 PeerConnection
|
||||
* (pc.addTrack)并在后端 transport 打开 video_in_enabled 即可。
|
||||
* 与 use-voice-preview 分离:这里负责摄像头设备枚举与本地预览;开始视觉会话时,
|
||||
* 调用方会把这条 video track 加进语音 WebRTC PeerConnection。
|
||||
*/
|
||||
|
||||
import { useCallback, useEffect, useRef, useState } from "react";
|
||||
@@ -50,12 +49,12 @@ export function useCameraPreview() {
|
||||
setStream(null);
|
||||
}, []);
|
||||
|
||||
const start = useCallback(async () => {
|
||||
if (streamRef.current) return;
|
||||
const start = useCallback(async (): Promise<MediaStream | null> => {
|
||||
if (streamRef.current) return streamRef.current;
|
||||
setError(null);
|
||||
if (!window.isSecureContext || !navigator.mediaDevices?.getUserMedia) {
|
||||
setError("当前页面无法访问摄像头,请通过 https 或 localhost 访问。");
|
||||
return;
|
||||
return null;
|
||||
}
|
||||
setStarting(true);
|
||||
try {
|
||||
@@ -66,21 +65,24 @@ export function useCameraPreview() {
|
||||
streamRef.current = media;
|
||||
setStream(media);
|
||||
void refreshCameras();
|
||||
return media;
|
||||
} catch (mediaError) {
|
||||
setError(cameraErrorMessage(mediaError));
|
||||
return null;
|
||||
} finally {
|
||||
setStarting(false);
|
||||
}
|
||||
}, [refreshCameras]);
|
||||
|
||||
const selectCamera = useCallback(
|
||||
async (id: string) => {
|
||||
async (id: string): Promise<MediaStream | null> => {
|
||||
deviceIdRef.current = id;
|
||||
setDeviceId(id);
|
||||
if (streamRef.current) {
|
||||
stop();
|
||||
await start();
|
||||
return await start();
|
||||
}
|
||||
return null;
|
||||
},
|
||||
[start, stop],
|
||||
);
|
||||
|
||||
@@ -23,6 +23,11 @@ import { API_BASE, webrtcApi } from "@/lib/api";
|
||||
|
||||
export type VoicePreviewStatus = "idle" | "connecting" | "connected" | "failed";
|
||||
|
||||
type ConnectOptions = {
|
||||
visionEnabled?: boolean;
|
||||
videoStream?: MediaStream | null;
|
||||
};
|
||||
|
||||
export type ChatMessage = {
|
||||
id: string;
|
||||
role: "user" | "assistant";
|
||||
@@ -218,7 +223,7 @@ export function useVoicePreview(
|
||||
[disconnect, fail],
|
||||
);
|
||||
|
||||
const connect = useCallback(async () => {
|
||||
const connect = useCallback(async (options: ConnectOptions = {}) => {
|
||||
if (startingRef.current || pcRef.current || wsRef.current) return;
|
||||
if (!assistantId) {
|
||||
setError("请先保存助手,再开始语音预览。");
|
||||
@@ -456,6 +461,11 @@ export function useVoicePreview(
|
||||
} else {
|
||||
pc.addTransceiver("audio", { direction: "recvonly" });
|
||||
}
|
||||
if (options.videoStream) {
|
||||
options.videoStream
|
||||
.getVideoTracks()
|
||||
.forEach((track) => pc.addTrack(track, options.videoStream!));
|
||||
}
|
||||
|
||||
// 4) 生成 offer 并发给后端(assistant_id 在 payload 顶层)
|
||||
const offer = await pc.createOffer();
|
||||
@@ -472,6 +482,7 @@ export function useVoicePreview(
|
||||
sdp: localDescription.sdp,
|
||||
type: localDescription.type,
|
||||
assistant_id: assistantId,
|
||||
vision_enabled: Boolean(options.visionEnabled),
|
||||
},
|
||||
}),
|
||||
);
|
||||
@@ -482,6 +493,17 @@ export function useVoicePreview(
|
||||
}
|
||||
}, [assistantId, fail, closeOnRemoteEnd, refreshDevices]);
|
||||
|
||||
const replaceVideoStream = useCallback(
|
||||
async (videoStream: MediaStream | null) => {
|
||||
const pc = pcRef.current;
|
||||
if (!pc) return;
|
||||
const sender = pc.getSenders().find((s) => s.track?.kind === "video");
|
||||
if (!sender) return;
|
||||
await sender.replaceTrack(videoStream?.getVideoTracks()[0] ?? null);
|
||||
},
|
||||
[],
|
||||
);
|
||||
|
||||
// 选择麦克风:更新选择;若会话正在发送麦克风音频,则用 WebRTC replaceTrack
|
||||
// 热切换轨道(无需重新协商),并把波形可视化重新接到新流。
|
||||
// 未连接时仅记下选择,留待下次 connect 生效。
|
||||
@@ -558,6 +580,7 @@ export function useVoicePreview(
|
||||
selectDevice,
|
||||
sendText,
|
||||
connect,
|
||||
replaceVideoStream,
|
||||
disconnect,
|
||||
audioRef,
|
||||
};
|
||||
|
||||
@@ -56,6 +56,7 @@ export type ModelResource = {
|
||||
interfaceType: string;
|
||||
values: Record<string, unknown>;
|
||||
secrets: Record<string, unknown>;
|
||||
supportImageInput: boolean;
|
||||
enabled: boolean;
|
||||
isDefault: boolean;
|
||||
updatedAt?: string | null;
|
||||
|
||||
Reference in New Issue
Block a user