feat(transcription): add shared voice input support (#4232)

* feat(webui): add voice transcription input

* feat(webui): render ANSI output in code blocks

* refactor(webui): isolate voice recorder logic

* refactor(transcription): keep websocket ingress thin

* refactor(transcription): resolve channel audio settings on demand

* style(webui): neutralize voice waveform color

* feat(webui): add voice input tooltip

* feat(webui): add voice input keyboard shortcut

* fix(webui): distinguish voice shortcut platforms

* fix(webui): place voice button after model selector

* refactor(webui): share voice hold recording helpers

* fix(desktop): allow microphone voice input

* fix(webui): stabilize token usage month labels

* feat(webui): show voice input on settings overview

* fix(webui): label voice capability as recognition

* fix(webui): align capability overview status

* refactor(webui): isolate transcription socket handling

* fix(webui): soften silent voice waveform

* refactor(audio): clarify transcription service location

* docs(transcription): clarify audio and provider boundaries

* fix(exec): reduce session output polling flake
This commit is contained in:
Xubin Ren
2026-06-09 01:08:49 +08:00
committed by GitHub
parent 06d454a225
commit 9c81280300
49 changed files with 3071 additions and 257 deletions
+7 -21
View File
@@ -28,10 +28,6 @@ class BaseChannel(ABC):
name: str = "base"
display_name: str = "Base"
transcription_provider: str = "groq"
transcription_api_key: str = ""
transcription_api_base: str = ""
transcription_language: str | None = None
send_progress: bool = True
send_tool_hints: bool = False
show_reasoning: bool = True
@@ -51,24 +47,14 @@ class BaseChannel(ABC):
async def transcribe_audio(self, file_path: str | Path) -> str:
"""Transcribe an audio file via Whisper (OpenAI or Groq). Returns empty string on failure."""
if not self.transcription_api_key:
return ""
try:
if self.transcription_provider == "openai":
from nanobot.providers.transcription import OpenAITranscriptionProvider
provider = OpenAITranscriptionProvider(
api_key=self.transcription_api_key,
api_base=self.transcription_api_base or None,
language=self.transcription_language or None,
)
else:
from nanobot.providers.transcription import GroqTranscriptionProvider
provider = GroqTranscriptionProvider(
api_key=self.transcription_api_key,
api_base=self.transcription_api_base or None,
language=self.transcription_language or None,
)
return await provider.transcribe(file_path)
from nanobot.audio.transcription import (
resolve_transcription_config,
transcribe_audio_file,
)
from nanobot.config.loader import load_config
return await transcribe_audio_file(file_path, resolve_transcription_config(load_config()))
except Exception:
self.logger.exception("Audio transcription failed")
return ""
-27
View File
@@ -80,11 +80,6 @@ class ChannelManager:
"""Initialize channels discovered via pkgutil scan + entry_points plugins."""
from nanobot.channels.registry import discover_channel_names, discover_enabled
transcription_provider = self.config.channels.transcription_provider
transcription_key = self._resolve_transcription_key(transcription_provider)
transcription_base = self._resolve_transcription_base(transcription_provider)
transcription_language = self.config.channels.transcription_language
# Collect enabled module names first, then only import those.
# Channel configs live in ChannelsConfig's extra fields (via
# extra="allow"), so we enumerate candidates from pkgutil scan
@@ -135,10 +130,6 @@ class ChannelManager:
)
kwargs["gateway"] = gateway
channel = cls(section, self.bus, **kwargs)
channel.transcription_provider = transcription_provider
channel.transcription_api_key = transcription_key
channel.transcription_api_base = transcription_base
channel.transcription_language = transcription_language
channel.send_progress = self._resolve_bool_override(
section, "send_progress", self.config.channels.send_progress,
)
@@ -155,24 +146,6 @@ class ChannelManager:
self._validate_allow_from()
def _resolve_transcription_key(self, provider: str) -> str:
"""Pick the API key for the configured transcription provider."""
try:
if provider == "openai":
return self.config.providers.openai.api_key
return self.config.providers.groq.api_key
except AttributeError:
return ""
def _resolve_transcription_base(self, provider: str) -> str:
"""Pick the API base URL for the configured transcription provider."""
try:
if provider == "openai":
return self.config.providers.openai.api_base or ""
return self.config.providers.groq.api_base or ""
except AttributeError:
return ""
def _validate_allow_from(self) -> None:
for name, ch in self.channels.items():
cfg = ch.config
+6 -2
View File
@@ -45,6 +45,7 @@ from nanobot.webui.http_utils import (
query_first as _query_first,
)
from nanobot.webui.mcp_presets_api import normalize_mcp_preset_mentions
from nanobot.webui.transcription_ws import webui_transcription_event
from nanobot.webui.websocket_logging import websockets_server_logger
@@ -235,7 +236,7 @@ _VIDEO_MIME_ALLOWED: frozenset[str] = frozenset({
_UPLOAD_MIME_ALLOWED: frozenset[str] = _IMAGE_MIME_ALLOWED | _VIDEO_MIME_ALLOWED
_DATA_URL_MIME_RE = re.compile(r"^data:([^;]+);base64,", re.DOTALL)
_DATA_URL_MIME_RE = re.compile(r"^data:([^;,]+)(?:;[^,]*)*;base64,", re.DOTALL)
def _extract_data_url_mime(url: str) -> str | None:
@@ -419,7 +420,6 @@ class WebSocketChannel(BaseChannel):
return None
# -- Server lifecycle and connection ingress ---------------------------
# -- Server lifecycle and connection ingress ---------------------------
async def start(self) -> None:
from nanobot.utils.logging_bridge import redirect_lib_logging
@@ -703,6 +703,10 @@ class WebSocketChannel(BaseChannel):
workspace_scope=scope.payload(),
)
return
if t == "transcribe_audio":
event, payload = await webui_transcription_event(envelope)
await self._send_event(connection, event, **payload)
return
if t == "message":
cid = envelope.get("chat_id")
content = envelope.get("content")