feat(transcribe,telegram,config): voice notes, round videos and audio get a transcript from pluggable providers, an openai-compatible one built in

README.md

@@ -38,6 +38,9 @@ is a full setup built on them.
   write-only from the admin, handed out only through `secret run NAME --
   cmd` (one `sudo` rule for `beaver-runner`, a root-only socket, files in
   `/dev/shm`, values masked in the command's output).
+- **transcribe/** - speech to text for the voice notes, round videos and
+  audio a window receives: providers tried in order, `OpenAITranscriber`
+  for any OpenAI-compatible endpoint built in.
 - **events/** - the in-process bus every frontend taps, and the stream
   event protocol backends emit.
 - **storage/** - SQLModel tables and the Postgres session store.
@@ -67,6 +70,46 @@ file next to it adds Postgres. Without Docker: `uv sync`, build the SPA with
 `DATABASE_URL` and `CONFIG_PATH` set. A setup's own secrets come from `.env`
 next to its config (`load_dotenv` runs before the config is executed).
 
+## Transcription
+
+A voice note, a round video or an audio file sent to the Telegram window is
+downloaded as any attachment; with `Gateway.transcribers` set, the frontend
+runs them in order and the first non-empty text rides under the attachment
+note (`TelegramTexts.attachment_transcript`). A provider that raises is
+logged and the next one tried; the whole chain gives up after the
+frontend's `transcribe_timeout` (90 s) and the note goes without the text.
+No transcribers, nothing changes.
+
+```python
+import os
+
+from beaver_gateway.transcribe import Audio, OpenAITranscriber
+
+
+async def voice_only(audio: Audio) -> str | None:
+    if audio.media_type != "audio/ogg":
+        return None
+    return await my_service.transcribe(audio.path, seconds=audio.duration)
+
+
+gateway = Gateway(
+    transcribers=[
+        voice_only,
+        OpenAITranscriber(
+            base_url="https://api.groq.com/openai/v1",
+            api_key=os.environ["GROQ_API_KEY"],
+            model="whisper-large-v3",
+            language="ru",
+        ),
+    ],
+)
+```
+
+A provider is any `async (Audio) -> str | None`; `None` passes the audio
+on. `OpenAITranscriber` posts the file to `{base_url}/audio/transcriptions`,
+the wire of OpenAI, Groq, faster-whisper-server and a whisper.cpp server;
+`api_key=None` for a local one without auth.
+
 ## Develop
 
 ```sh

src/beaver_gateway/app.py

@@ -201,6 +201,7 @@ async def run(gateway: Gateway, settings: Settings) -> None:
             scopes=scopes_with(fe.scope for fe in gateway.frontends),
             send_file_roots=_roots(settings.send_file_roots),
             secrets=secrets,
+            transcribers=tuple(gateway.transcribers),
         )
         for fe in gateway.frontends:
             fe.configure(runtime)

src/beaver_gateway/config.py

@@ -16,6 +16,7 @@ from beaver_gateway.conversations.texts import ConversationTexts
 from beaver_gateway.frontends.base import Frontend
 from beaver_gateway.jobs.scheduler import Job
 from beaver_gateway.mcp.types import HttpMcp, McpServer, PythonToolMcp, StdioMcp
+from beaver_gateway.transcribe import Audio, OpenAITranscriber
 
 if TYPE_CHECKING:
     from collections.abc import Awaitable, Callable
@@ -27,6 +28,7 @@ if TYPE_CHECKING:
     from beaver_gateway.conversations.texts import UserSaid
     from beaver_gateway.jobs.scheduler import Budget
     from beaver_gateway.mcp.types import McpServerT
+    from beaver_gateway.transcribe import Transcriber
     from beaver_gateway.vault.watch import VaultWatch
 
 __all__ = ["ConfigError", "Gateway", "load"]
@@ -51,6 +53,8 @@ class Gateway:
     """Envelope lookup on the user's text: pointers the setup derives from its files."""
     user_sink: Callable[[UserSaid], Awaitable[None] | None] | None = None
     """Sees every user message entering a master or branch turn."""
+    transcribers: list[Transcriber] = field(default_factory=list)
+    """Speech to text for voice and audio a window receives; the first text wins."""
     budget: Budget | None = None
     """Subscription utilisation past which non-critical jobs wait."""
     distiller: Distiller | None = None
@@ -75,6 +79,8 @@ _PUBLIC_NAMES: dict[str, Any] = {
     "ExposedMcp": ExposedMcp,
     "Gateway": Gateway,
     "ConversationTexts": ConversationTexts,
+    "Audio": Audio,
+    "OpenAITranscriber": OpenAITranscriber,
 }
 
 _McpInstance = StdioMcp | HttpMcp | PythonToolMcp
@@ -144,6 +150,13 @@ def _validate(gw: Gateway, path: Path) -> None:
                 f"a frontend scope is a lowercase name like 'voice', never '*'"
             )
             raise ConfigError(msg)
+    for i, t in enumerate(gw.transcribers):
+        if not callable(t):
+            msg = (
+                f"{path}: gateway.transcribers[{i}] must be an async callable "
+                f"taking an Audio, got {type(t).__name__}"
+            )
+            raise ConfigError(msg)
     names: set[str] = set()
     for i, j in enumerate(gw.jobs):
         if not isinstance(j, Job):

src/beaver_gateway/frontends/base.py

@@ -27,6 +27,7 @@ if TYPE_CHECKING:
     from beaver_gateway.security.auth import TokenStore
     from beaver_gateway.storage import Database
     from beaver_gateway.storage.models import Conversation, ConversationBinding
+    from beaver_gateway.transcribe import Transcriber
 
     TurnLogHandler = Callable[[TurnRecord], Awaitable[None]]
 
@@ -65,6 +66,8 @@ class GatewayRuntime:
     """Directories ``send_file`` may read, from ``SEND_FILE_ROOTS``."""
     secrets: SecretStore | None = None
     """Sealed secrets for ``secret run``; ``None`` in setups without them."""
+    transcribers: Sequence[Transcriber] = ()
+    """``Gateway.transcribers``: speech to text a window runs on audio it receives."""
 
 
 class Frontend(ABC):

src/beaver_gateway/frontends/telegram/frontend.py

@@ -48,13 +48,17 @@ from beaver_gateway.frontends.telegram.inbox import Inbox
 from beaver_gateway.frontends.telegram.outbox import Outbox
 from beaver_gateway.frontends.telegram.render import chunks, status_label, to_html
 from beaver_gateway.frontends.telegram.texts import TelegramTexts
+from beaver_gateway.transcribe import Audio, transcribe
 
 if TYPE_CHECKING:
+    from collections.abc import Sequence
+
     from beaver_gateway.conversations.kinds import Kind
     from beaver_gateway.conversations.service import Conversations
     from beaver_gateway.events.bus import Event, EventBus
     from beaver_gateway.frontends.base import GatewayRuntime
     from beaver_gateway.storage.models import Conversation, ConversationBinding
+    from beaver_gateway.transcribe import Transcriber
 
 __all__ = ["FRONTEND", "Attachments", "TelegramFrontend"]
 
@@ -65,6 +69,7 @@ _DONE = "done"
 _COMMANDS = ("merge", "new", "chat", "status", "help", "start")
 _CAPTION = 1024
 _NO_CAPTION = ("video_note",)
+_HEARD = ("voice", "audio", "video_note")
 
 
 @dataclass(frozen=True, slots=True)
@@ -132,6 +137,16 @@ class _Ask:
         )
 
 
+@dataclass(frozen=True, slots=True)
+class _Media:
+    file_id: str
+    kind: str
+    size: int | None
+    name: str
+    media_type: str | None = None
+    duration: int | None = None
+
+
 @dataclass
 class _Album:
     message: Message
@@ -166,6 +181,7 @@ class TelegramFrontend(Frontend):
         outbox_backoff: float = 2.0,
         texts: TelegramTexts | None = None,
         album_delay: float = 1.0,
+        transcribe_timeout: float = 90.0,
     ) -> None:
         self._token = token
         self.texts = texts or TelegramTexts()
@@ -190,6 +206,7 @@ class TelegramFrontend(Frontend):
         self._topic_names: dict[int, str] = {}
         self._drafts: dict[str, Draft] = {}
         self.album_delay = album_delay
+        self.transcribe_timeout = transcribe_timeout
         self._asks: dict[str, _Ask] = {}
         self._albums: dict[str, _Album] = {}
         self._reactions: dict[int, tuple[int, int]] = {}
@@ -687,10 +704,11 @@ class TelegramFrontend(Frontend):
             return texts.attachment_sticker, None
         if message.animation:
             return texts.attachment_animation, None
-        file_id, kind, size, name, media_type = _media(message)
-        if file_id is None or name is None:
+        media = _media(message)
+        if media is None:
             return None, None
-        kind = texts.attachment_kinds.get(kind, kind)
+        kind = texts.attachment_kinds.get(media.kind, media.kind)
+        size, name = media.size, media.name
         if size and size > 20 * 1024 * 1024:
             return (
                 texts.attachment_too_big.format(
@@ -706,7 +724,7 @@ class TelegramFrontend(Frontend):
             folder.chmod(0o755)
         path = folder / f"{int(now)}-{Path(name).name}"
         try:
-            await self.bot.download(file_id, destination=path)
+            await self.bot.download(media.file_id, destination=path)
             path.chmod(0o644)
         except (TelegramAPIError, OSError) as exc:
             _log.warning("attachment download failed: %s", exc)
@@ -714,16 +732,38 @@ class TelegramFrontend(Frontend):
         shown = texts.attachment_size.format(kb=size // 1024) if size else ""
         keep = self.attachments.keep_days
         seen = (
-            {"path": str(path), "media_type": media_type}
-            if media_type and media_type.startswith("image/")
+            {"path": str(path), "media_type": media.media_type}
+            if media.media_type and media.media_type.startswith("image/")
             else None
         )
-        if keep is None:
-            return texts.attachment.format(kind=kind, path=path, size=shown), seen
-        return (
-            texts.attachment_kept.format(kind=kind, path=path, size=shown, days=keep),
-            seen,
+        note = (
+            texts.attachment.format(kind=kind, path=path, size=shown)
+            if keep is None
+            else texts.attachment_kept.format(
+                kind=kind, path=path, size=shown, days=keep
             )
+        )
+        transcribers = cast("GatewayRuntime", self._runtime).transcribers
+        if media.kind in _HEARD and transcribers:
+            audio = Audio(path, media.media_type, media.duration)
+            heard = await self._transcribe(transcribers, audio)
+            if heard:
+                note = texts.attachment_transcript.format(note=note, text=heard)
+        return note, seen
+
+    async def _transcribe(
+        self, transcribers: Sequence[Transcriber], audio: Audio
+    ) -> str | None:
+        try:
+            async with asyncio.timeout(self.transcribe_timeout):
+                return await transcribe(transcribers, audio)
+        except TimeoutError:
+            _log.warning(
+                "transcription of %s took over %.0fs, the note goes without it",
+                audio.path.name,
+                self.transcribe_timeout,
+            )
+            return None
 
     async def _sweep_loop(self, interval: float = 6 * 3600) -> None:
         while True:
@@ -1190,13 +1230,10 @@ class TelegramFrontend(Frontend):
                 )
 
 
-def _media(
-    message: Message,
-) -> tuple[str | None, str, int | None, str | None, str | None]:
-    """``(file_id, kind, size, name, media_type)`` of the message's media, if any."""
+def _media(message: Message) -> _Media | None:
     if message.photo:
         photo = message.photo[-1]
-        return (
+        return _Media(
             photo.file_id,
             "photo",
             photo.file_size,
@@ -1206,32 +1243,43 @@ def _media(
     if message.document:
         doc = message.document
         name = doc.file_name or f"{doc.file_unique_id}.bin"
-        return doc.file_id, "document", doc.file_size, name, doc.mime_type
+        return _Media(doc.file_id, "document", doc.file_size, name, doc.mime_type)
     if message.voice:
         v = message.voice
-        return v.file_id, "voice", v.file_size, f"{v.file_unique_id}.ogg", None
+        return _Media(
+            v.file_id,
+            "voice",
+            v.file_size,
+            f"{v.file_unique_id}.ogg",
+            v.mime_type or "audio/ogg",
+            v.duration,
+        )
     if message.audio:
         a = message.audio
-        return (
+        return _Media(
             a.file_id,
             "audio",
             a.file_size,
             a.file_name or f"{a.file_unique_id}.mp3",
-            None,
+            a.mime_type,
+            a.duration,
         )
     if message.video:
         v = message.video
-        return (
-            v.file_id,
-            "video",
-            v.file_size,
-            v.file_name or f"{v.file_unique_id}.mp4",
-            None,
+        return _Media(
+            v.file_id, "video", v.file_size, v.file_name or f"{v.file_unique_id}.mp4"
         )
     if message.video_note:
         n = message.video_note
-        return n.file_id, "video_note", n.file_size, f"{n.file_unique_id}.mp4", None
-    return None, "", None, None, None
+        return _Media(
+            n.file_id,
+            "video_note",
+            n.file_size,
+            f"{n.file_unique_id}.mp4",
+            "video/mp4",
+            n.duration,
+        )
+    return None
 
 
 def _question_html(question: dict[str, Any]) -> str:

src/beaver_gateway/frontends/telegram/texts.py

@@ -71,6 +71,7 @@ class TelegramTexts:
         "[attachment: {kind} {path}{size}; kept {days} days, move it into the "
         "vault if it matters]"
     )
+    attachment_transcript: str = "{note}\ntranscript: {text}"
     merge_nothing: str = "nothing to merge: this is not an open branch"
     merging: str = "🔀 merging into the master"
     merged: str = "✅ merged into the master"

src/beaver_gateway/transcribe/__init__.py

@@ -0,0 +1,6 @@
+"""Speech to text for audio a window receives: a chain of pluggable providers."""
+
+from beaver_gateway.transcribe.base import Audio, Transcriber, transcribe
+from beaver_gateway.transcribe.openai import OpenAITranscriber
+
+__all__ = ["Audio", "OpenAITranscriber", "Transcriber", "transcribe"]

src/beaver_gateway/transcribe/base.py

@@ -0,0 +1,52 @@
+"""What a transcription provider is handed and the chain that tries them in order."""
+
+from __future__ import annotations
+
+import logging
+from dataclasses import dataclass
+from typing import TYPE_CHECKING, Protocol
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+    from pathlib import Path
+
+__all__ = ["Audio", "Transcriber", "transcribe"]
+
+_log = logging.getLogger("beaver_gateway.transcribe")
+
+
+@dataclass(frozen=True, slots=True)
+class Audio:
+    path: Path
+    """The downloaded file, readable for as long as the call lasts."""
+    media_type: str | None = None
+    """MIME type as the window reported it, e.g. ``audio/ogg``; ``None`` if unknown."""
+    duration: float | None = None
+    """Length in seconds, when the window knows it."""
+
+
+class Transcriber(Protocol):
+    async def __call__(self, audio: Audio) -> str | None: ...
+
+
+async def transcribe(transcribers: Sequence[Transcriber], audio: Audio) -> str | None:
+    """The first non-empty text from ``transcribers``, a failing one skipped."""
+    for transcriber in transcribers:
+        try:
+            text = await transcriber(audio)
+        except Exception as exc:  # noqa: BLE001
+            _log.warning(
+                "transcriber %s failed on %s: %s: %s",
+                _name(transcriber),
+                audio.path.name,
+                type(exc).__name__,
+                exc,
+            )
+            continue
+        if text and text.strip():
+            return text.strip()
+    return None
+
+
+def _name(transcriber: Transcriber) -> str:
+    return getattr(transcriber, "__qualname__", None) or type(transcriber).__name__

src/beaver_gateway/transcribe/openai.py

@@ -0,0 +1,57 @@
+"""A provider for any OpenAI-compatible ``/audio/transcriptions`` endpoint."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+from typing import TYPE_CHECKING
+
+import aiohttp
+
+if TYPE_CHECKING:
+    from beaver_gateway.transcribe.base import Audio
+
+__all__ = ["OpenAITranscriber"]
+
+
+@dataclass(frozen=True, slots=True)
+class OpenAITranscriber:
+    """OpenAI, Groq, faster-whisper-server, a whisper.cpp server: one wire."""
+
+    base_url: str = "https://api.openai.com/v1"
+    """API root; ``/audio/transcriptions`` is appended."""
+    api_key: str | None = None
+    """Sent as a bearer token; ``None`` for a local server without auth."""
+    model: str = "whisper-1"
+    """Model name as the server knows it, e.g. ``whisper-large-v3`` on Groq."""
+    language: str | None = None
+    """ISO-639-1 hint such as ``ru``; ``None`` lets the model detect it."""
+    timeout: float = 120.0
+    """Seconds for the whole request, upload included."""
+
+    async def __call__(self, audio: Audio) -> str | None:
+        headers = {"Authorization": f"Bearer {self.api_key}"} if self.api_key else {}
+        form = aiohttp.FormData()
+        form.add_field("model", self.model)
+        form.add_field("response_format", "json")
+        if self.language:
+            form.add_field("language", self.language)
+        with audio.path.open("rb") as file:
+            form.add_field(
+                "file",
+                file,
+                filename=audio.path.name,
+                content_type=audio.media_type or "application/octet-stream",
+            )
+            async with (
+                aiohttp.ClientSession(
+                    timeout=aiohttp.ClientTimeout(total=self.timeout)
+                ) as http,
+                http.post(
+                    f"{self.base_url.rstrip('/')}/audio/transcriptions",
+                    data=form,
+                    headers=headers,
+                ) as response,
+            ):
+                response.raise_for_status()
+                body = await response.json(content_type=None)
+        return str(body.get("text") or "") or None

tests/test_config_siblings.py

@@ -1,6 +1,8 @@
 import tempfile
 from pathlib import Path
 
+import pytest
+
 from beaver_gateway import config
 
 
@@ -14,3 +16,15 @@ def test_config_imports_sibling_modules():
     )
     gw = config.load(root / "config.py")
     assert gw.agents == []
+
+
+def test_config_takes_transcribers_and_refuses_what_cannot_be_called():
+    root = Path(tempfile.mkdtemp(prefix="beaver-cfg-"))
+    (root / "config.py").write_text(
+        "gateway = Gateway(transcribers=[OpenAITranscriber(language='ru')])\n"
+    )
+    (gw_stt,) = config.load(root / "config.py").transcribers
+    assert gw_stt.language == "ru" and gw_stt.model == "whisper-1"
+    (root / "config.py").write_text("gateway = Gateway(transcribers=['whisper'])\n")
+    with pytest.raises(config.ConfigError, match=r"transcribers\[0\]"):
+        config.load(root / "config.py")

tests/test_telegram.py

@@ -1,6 +1,7 @@
 import asyncio
 import base64
 import contextlib
+import dataclasses
 import functools
 import tempfile
 from pathlib import Path
@@ -29,6 +30,7 @@ from beaver_gateway.frontends.telegram.render import (
     to_html_tail,
 )
 from beaver_gateway.storage.models import ConversationBinding, Delivery, TelegramUpdate
+from beaver_gateway.transcribe import Audio
 from sqlmodel import select
 from test_conversations import ScriptedClient, StubFrontend, World
 
@@ -871,6 +873,91 @@ def test_sweep_drops_old_files_and_empty_day_folders() -> None:
     assert not old.parent.exists() and fresh.exists()
 
 
+def _voice(caption: str) -> dict[str, Any]:
+    return {
+        "caption": caption,
+        "voice": {
+            "file_id": "v1",
+            "file_unique_id": "vu1",
+            "duration": 3,
+            "mime_type": "audio/ogg",
+            "file_size": 4096,
+        },
+    }
+
+
+def _prompt_with(needle: str) -> str:
+    return next(p for c in ScriptedClient.instances for p in c.prompts if needle in p)
+
+
+async def test_voice_without_transcribers_keeps_the_plain_note(stack: Stack) -> None:
+    root = Path(tempfile.mkdtemp(prefix="beaver-voice-"))
+    stack.tg.attachments = Attachments(dir=root, keep_days=3)
+    stack.bot.media(_voice("слушай"))
+    await stack.until(lambda: stack.sent_with("слушай"), what="reply")
+    (saved,) = [p for p in root.rglob("*") if p.is_file()]
+    assert saved.name.endswith("-vu1.ogg")
+    assert _prompt_with("слушай").endswith(
+        f"слушай\n\n[attachment: voice message {saved}, 4 KB; kept 3 days, "
+        "move it into the vault if it matters]"
+    )
+
+
+async def test_voice_and_video_note_carry_the_transcript(stack: Stack) -> None:
+    heard: list[Audio] = []
+
+    async def stt(audio: Audio) -> str | None:
+        heard.append(audio)
+        return f"сказано {len(heard)}"
+
+    root = Path(tempfile.mkdtemp(prefix="beaver-voice-"))
+    stack.tg.attachments = Attachments(dir=root, keep_days=None)
+    stack.tg._runtime = dataclasses.replace(  # noqa: SLF001
+        stack.tg._runtime,  # noqa: SLF001
+        transcribers=(stt,),
+    )
+    stack.bot.media(_voice("раз"))
+    await stack.until(lambda: stack.sent_with("раз"), what="voice reply")
+    (voice,) = heard
+    assert voice.media_type == "audio/ogg" and voice.duration == 3
+    assert voice.path.name.endswith("-vu1.ogg") and voice.path.read_bytes() == b"data"
+    assert _prompt_with("раз").endswith(
+        f"раз\n\n[attachment: voice message {voice.path}, 4 KB]\ntranscript: сказано 1"
+    )
+    stack.bot.media(
+        {
+            "video_note": {
+                "file_id": "n1",
+                "file_unique_id": "nu1",
+                "length": 240,
+                "duration": 5,
+            }
+        }
+    )
+    await stack.until(lambda: stack.sent_with("сказано 2"), what="video note reply")
+    assert (heard[1].media_type, heard[1].duration) == ("video/mp4", 5)
+    stack.bot.media(_photo("фото"))
+    await stack.until(lambda: stack.sent_with("фото"), what="photo reply")
+    assert len(heard) == 2 and "transcript" not in _prompt_with("фото")
+
+
+async def test_a_hung_transcriber_does_not_hold_the_turn(stack: Stack) -> None:
+    async def hung(_: Audio) -> str:
+        await asyncio.sleep(10)
+        return "поздно"
+
+    stack.tg.transcribe_timeout = 0.05
+    stack.tg._runtime = dataclasses.replace(  # noqa: SLF001
+        stack.tg._runtime,  # noqa: SLF001
+        transcribers=(hung,),
+    )
+    stack.bot.media(_voice("жду"))
+    await stack.until(lambda: stack.sent_with("жду"), what="reply")
+    prompt = _prompt_with("жду")
+    assert prompt.endswith(" KB; kept 7 days, move it into the vault if it matters]")
+    assert "transcript" not in prompt
+
+
 async def test_topic_rename_updates_the_title(stack: Stack) -> None:
     stack.bot.topic_created("план", 7)
     stack.bot.message("hello", thread=7)

tests/test_transcribe.py

@@ -0,0 +1,101 @@
+import tempfile
+from pathlib import Path
+from typing import Any
+
+import pytest
+from aioresponses import CallbackResult, aioresponses
+
+from beaver_gateway.transcribe import Audio, OpenAITranscriber, transcribe
+
+URL = "http://whisper.local/v1/audio/transcriptions"
+
+
+@pytest.fixture
+def audio() -> Audio:
+    path = Path(tempfile.mkdtemp(prefix="beaver-stt-")) / "u1.ogg"
+    path.write_bytes(b"OggS")
+    return Audio(path, "audio/ogg", 3)
+
+
+def saying(text: str | None, calls: list[str] | None = None):
+    async def transcriber(audio: Audio) -> str | None:
+        if calls is not None:
+            calls.append(text or "")
+        return text
+
+    return transcriber
+
+
+async def broken(audio: Audio) -> str | None:
+    msg = "provider down"
+    raise ConnectionError(msg)
+
+
+async def test_the_first_non_empty_text_wins(audio: Audio) -> None:
+    calls: list[str] = []
+    chain = [saying(None, calls), saying("  \n", calls), saying(" привет ", calls)]
+    chain.append(saying("never", calls))
+    assert await transcribe(chain, audio) == "привет"
+    assert calls == ["", "  \n", " привет "]
+
+
+async def test_a_raising_provider_is_skipped(audio: Audio, caplog) -> None:
+    assert await transcribe([broken, saying("ok")], audio) == "ok"
+    (record,) = [r for r in caplog.records if "provider down" in r.getMessage()]
+    assert record.levelname == "WARNING" and record.exc_info is None
+
+
+async def test_nothing_comes_back_as_none(audio: Audio) -> None:
+    assert await transcribe([], audio) is None
+    assert await transcribe([broken, saying("")], audio) is None
+
+
+async def test_openai_transcriber_posts_the_file_and_reads_the_text(
+    audio: Audio,
+) -> None:
+    seen: dict[str, Any] = {}
+
+    def answer(url, **kwargs: Any) -> CallbackResult:
+        fields = kwargs["data"]._fields
+        seen["headers"] = kwargs["headers"]
+        seen["fields"] = {f[0]["name"]: f[2] for f in fields}
+        seen["file"] = next(f for f in fields if f[0]["name"] == "file")
+        return CallbackResult(payload={"text": " привет "})
+
+    stt = OpenAITranscriber(
+        base_url="http://whisper.local/v1/", api_key="sk", model="m", language="ru"
+    )
+    with aioresponses() as http:
+        http.post(URL, callback=answer)
+        assert await stt(audio) == " привет "
+    assert seen["headers"] == {"Authorization": "Bearer sk"}
+    assert seen["fields"]["model"] == "m"
+    assert seen["fields"]["language"] == "ru"
+    assert seen["fields"]["response_format"] == "json"
+    options, headers, _ = seen["file"]
+    assert options["filename"] == "u1.ogg"
+    assert headers["Content-Type"] == "audio/ogg"
+
+
+async def test_openai_transcriber_without_a_key_sends_no_auth(audio: Audio) -> None:
+    seen: dict[str, Any] = {}
+
+    def answer(url, **kwargs: Any) -> CallbackResult:
+        seen["headers"] = kwargs["headers"]
+        seen["fields"] = [f[0]["name"] for f in kwargs["data"]._fields]
+        return CallbackResult(payload={"text": ""})
+
+    with aioresponses() as http:
+        http.post(URL, callback=answer)
+        assert (
+            await OpenAITranscriber(base_url="http://whisper.local/v1")(audio) is None
+        )
+    assert seen["headers"] == {}
+    assert "language" not in seen["fields"]
+
+
+async def test_openai_transcriber_error_reaches_the_chain(audio: Audio) -> None:
+    stt = OpenAITranscriber(base_url="http://whisper.local/v1")
+    with aioresponses() as http:
+        http.post(URL, status=401, payload={"error": "bad key"})
+        assert await transcribe([stt, saying("fallback")], audio) == "fallback"