feat(transcribe): Whisper transcription module with Groq→OpenAI fallback (#277)

Adds agent_reach/transcribe.py (download → compress → chunk → transcribe with provider fallback, fully mocked tests). Maintainer follow-up on the branch: wired an agent-reach transcribe CLI subcommand + skill docs so agents can actually invoke it, added the missing configure openai-key branch the error hint referenced, removed two dead static methods. 103 tests pass; wheel-gate clean.
This commit is contained in:
ming
2026-06-10 17:03:37 +10:00
committed by GitHub
parent 9045fee67e
commit 4ca570a39f
8 changed files with 607 additions and 4 deletions
+3
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@@ -13,3 +13,6 @@
# Groq Whisper (optional, for video transcription) — https://console.groq.com # Groq Whisper (optional, for video transcription) — https://console.groq.com
# GROQ_API_KEY=gsk_your_key_here # GROQ_API_KEY=gsk_your_key_here
# OpenAI Whisper (optional fallback when Groq is rate-limited) — https://platform.openai.com
# OPENAI_API_KEY=sk-your_key_here
+28 -3
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@@ -17,6 +17,7 @@ class YouTubeChannel(Channel):
def can_handle(self, url: str) -> bool: def can_handle(self, url: str) -> bool:
from urllib.parse import urlparse from urllib.parse import urlparse
d = urlparse(url).netloc.lower() d = urlparse(url).netloc.lower()
return "youtube.com" in d or "youtu.be" in d return "youtube.com" in d or "youtu.be" in d
@@ -40,7 +41,31 @@ class YouTubeChannel(Channel):
has_js_config = "--js-runtimes" in read_utf8_text(ytdlp_config) has_js_config = "--js-runtimes" in read_utf8_text(ytdlp_config)
if not has_js_config: if not has_js_config:
return "warn", ( return "warn", (
"yt-dlp 已安装但未配置 JS runtime。运行:\n" f"yt-dlp 已安装但未配置 JS runtime。运行:\n {render_ytdlp_fix_command()}"
f" {render_ytdlp_fix_command()}"
) )
return "ok", "可提取视频信息和字幕" # Surface transcription readiness so `doctor` reports it.
msg = "可提取视频信息和字幕"
if config is not None:
providers = []
if config.is_configured("groq_whisper"):
providers.append("groq")
if config.is_configured("openai_whisper"):
providers.append("openai")
if providers:
if not shutil.which("ffmpeg"):
msg += "(音频转写需安装 ffmpeg"
else:
msg += f",可转写音频({''.join(providers)}"
return "ok", msg
def transcribe(self, url: str, *, provider: str = "auto", config=None) -> str:
"""Download a YouTube video's audio and return its transcript.
Delegates to :func:`agent_reach.transcribe.transcribe`. Imported lazily
so the channel module stays cheap to import for users who never
transcribe.
"""
from agent_reach.transcribe import transcribe as _transcribe
return _transcribe(url, provider=provider, config=config)
+34 -1
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@@ -79,7 +79,7 @@ def main():
# ── configure ── # ── configure ──
p_conf = sub.add_parser("configure", help="Set a config value or auto-extract from browser") p_conf = sub.add_parser("configure", help="Set a config value or auto-extract from browser")
p_conf.add_argument("key", nargs="?", default=None, p_conf.add_argument("key", nargs="?", default=None,
choices=["proxy", "github-token", "groq-key", choices=["proxy", "github-token", "groq-key", "openai-key",
"twitter-cookies", "youtube-cookies", "twitter-cookies", "youtube-cookies",
"xhs-cookies"], "xhs-cookies"],
help="What to configure (omit if using --from-browser)") help="What to configure (omit if using --from-browser)")
@@ -111,6 +111,14 @@ def main():
p_format.add_argument("platform", choices=["xhs"], help="Platform to format (xhs)") p_format.add_argument("platform", choices=["xhs"], help="Platform to format (xhs)")
# ── check-update ── # ── check-update ──
# ── transcribe ──
p_tr = sub.add_parser("transcribe", help="Transcribe a URL or local audio file (Whisper via Groq/OpenAI)")
p_tr.add_argument("source", help="Audio/video URL or local file path")
p_tr.add_argument("--provider", choices=["auto", "groq", "openai"], default="auto",
help="Transcription provider (default: auto = groq → openai fallback)")
p_tr.add_argument("-o", "--output", default=None,
help="Write transcript to a file instead of stdout")
sub.add_parser("check-update", help="Check for new versions and changes") sub.add_parser("check-update", help="Check for new versions and changes")
# ── watch ── # ── watch ──
@@ -150,6 +158,8 @@ def main():
_cmd_skill(args) _cmd_skill(args)
elif args.command == "format": elif args.command == "format":
_cmd_format(args) _cmd_format(args)
elif args.command == "transcribe":
_cmd_transcribe(args)
# ── Command handlers ──────────────────────────────── # ── Command handlers ────────────────────────────────
@@ -1125,6 +1135,29 @@ def _cmd_configure(args):
config.set("groq_api_key", value) config.set("groq_api_key", value)
print(f"✅ Groq key configured!") print(f"✅ Groq key configured!")
elif args.key == "openai-key":
config.set("openai_api_key", value)
print(f"✅ OpenAI key configured!")
def _cmd_transcribe(args):
"""Transcribe a URL or local audio file via Whisper (Groq → OpenAI fallback)."""
from pathlib import Path
from agent_reach.transcribe import TranscribeError, transcribe
try:
text = transcribe(args.source, provider=args.provider)
except TranscribeError as e:
print(f"{e}")
sys.exit(1)
if args.output:
Path(args.output).write_text(text + "\n", encoding="utf-8")
print(f"✅ Transcript written to {args.output}")
else:
print(text)
def _parse_twitter_cookie_input(value: str): def _parse_twitter_cookie_input(value: str):
"""Parse Twitter cookie input from either separate values or a cookie header.""" """Parse Twitter cookie input from either separate values or a cookie header."""
+1
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@@ -23,6 +23,7 @@ class Config:
"exa_search": ["exa_api_key"], "exa_search": ["exa_api_key"],
"twitter_xreach": ["twitter_auth_token", "twitter_ct0"], # legacy key name; used by twitter-cli "twitter_xreach": ["twitter_auth_token", "twitter_ct0"], # legacy key name; used by twitter-cli
"groq_whisper": ["groq_api_key"], "groq_whisper": ["groq_api_key"],
"openai_whisper": ["openai_api_key"],
"github_token": ["github_token"], "github_token": ["github_token"],
} }
+11
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@@ -39,6 +39,17 @@ yt-dlp --dump-json "ytsearch5:query"
> **字幕注意**: 手动上传的字幕提取可靠;自动生成字幕可能存在行间重复,需后处理。 > **字幕注意**: 手动上传的字幕提取可靠;自动生成字幕可能存在行间重复,需后处理。
> **评论注意**: `--write-comments` 基于网页抓取(非 YouTube Data API),部分评论可能丢失。 > **评论注意**: `--write-comments` 基于网页抓取(非 YouTube Data API),部分评论可能丢失。
### 无字幕兜底:Whisper 音频转写
```bash
# 视频没有字幕时的兜底:下载音频并用 Whisper 转写(Groq 免费 key 即可)
agent-reach transcribe "https://www.youtube.com/watch?v=VIDEO_ID"
agent-reach transcribe ./local_audio.mp3 -o /tmp/transcript.txt
```
> 需要先配置 key`agent-reach configure groq-key gsk_xxx`(免费,console.groq.com
> 或 `agent-reach configure openai-key sk-xxx`。默认 auto 模式:groq 失败自动降级 openai。
## B站 / Bilibili (yt-dlp + bili-cli) ## B站 / Bilibili (yt-dlp + bili-cli)
### 视频元数据 (yt-dlp) ### 视频元数据 (yt-dlp)
+253
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@@ -0,0 +1,253 @@
# -*- coding: utf-8 -*-
"""Whisper audio transcription with Groq → OpenAI fallback.
Downloads audio (yt-dlp), compresses + chunks (ffmpeg), and posts to a
Whisper-compatible API. Defaults to Groq's free `whisper-large-v3` and falls
back to OpenAI's `whisper-1` on HTTP error.
Public entry point:
transcribe(source, *, provider="auto", out_dir=None, config=None) -> str
Designed to be importable from channels (e.g. YouTubeChannel.transcribe).
"""
from __future__ import annotations
import shutil
import subprocess
import tempfile
from pathlib import Path
from typing import List, Optional
import requests
from agent_reach.config import Config
# Whisper API limit is 25MB; leave headroom for multipart overhead.
SIZE_LIMIT_BYTES = 24 * 1024 * 1024
CHUNK_SECONDS = 600 # 10 min — small enough that boundary cuts rarely lose meaning
PROVIDERS = {
"groq": {
"endpoint": "https://api.groq.com/openai/v1/audio/transcriptions",
"model": "whisper-large-v3",
"key_field": "groq_api_key",
},
"openai": {
"endpoint": "https://api.openai.com/v1/audio/transcriptions",
"model": "whisper-1",
"key_field": "openai_api_key",
},
}
class TranscribeError(RuntimeError):
"""Raised when transcription cannot complete."""
class MissingDependency(TranscribeError):
"""Raised when a required external binary is missing."""
class NoProviderConfigured(TranscribeError):
"""Raised when no provider has an API key configured."""
def _require(binary: str) -> None:
if not shutil.which(binary):
raise MissingDependency(f"{binary} not found in PATH")
def _run(cmd: List[str]) -> None:
"""Run a subprocess, raising TranscribeError on nonzero exit."""
proc = subprocess.run(cmd, capture_output=True, text=True)
if proc.returncode != 0:
raise TranscribeError(
f"{cmd[0]} failed (exit {proc.returncode}): {proc.stderr.strip()[:300]}"
)
def download_audio(url: str, out_dir: Path) -> Path:
"""Download audio with yt-dlp into out_dir; return the resulting file path."""
_require("yt-dlp")
template = out_dir / "source.%(ext)s"
_run(
[
"yt-dlp",
"-x",
"--audio-format",
"m4a",
"--audio-quality",
"0",
"-o",
str(template),
url,
]
)
files = sorted(out_dir.glob("source.*"))
if not files:
raise TranscribeError("yt-dlp produced no output file")
return files[0]
def compress_audio(src: Path, out_dir: Path) -> Path:
"""Re-encode to mono / 16kHz / 32kbps m4a — keeps most content under 25MB."""
_require("ffmpeg")
dst = out_dir / "compressed.m4a"
_run(
[
"ffmpeg",
"-loglevel",
"error",
"-y",
"-i",
str(src),
"-vn",
"-ac",
"1",
"-ar",
"16000",
"-b:a",
"32k",
str(dst),
]
)
return dst
def chunk_audio(src: Path, out_dir: Path, segment_seconds: int = CHUNK_SECONDS) -> List[Path]:
"""Split src into segments. Re-encodes each segment so cuts align to keyframes."""
_require("ffmpeg")
pattern = out_dir / "chunk_%03d.m4a"
_run(
[
"ffmpeg",
"-loglevel",
"error",
"-y",
"-i",
str(src),
"-f",
"segment",
"-segment_time",
str(segment_seconds),
"-ac",
"1",
"-ar",
"16000",
"-b:a",
"32k",
str(pattern),
]
)
chunks = sorted(out_dir.glob("chunk_*.m4a"))
if not chunks:
raise TranscribeError("ffmpeg produced no chunks")
return chunks
def _provider_key(provider: str, config: Config) -> Optional[str]:
field = PROVIDERS[provider]["key_field"]
val = config.get(field)
return val or None
def transcribe_chunk(
chunk: Path,
provider: str,
*,
config: Optional[Config] = None,
timeout: int = 120,
) -> str:
"""Transcribe one chunk via the named provider. Raises TranscribeError on failure."""
if provider not in PROVIDERS:
raise TranscribeError(f"unknown provider: {provider}")
cfg = config or Config()
key = _provider_key(provider, cfg)
if not key:
raise NoProviderConfigured(
f"{provider}: missing {PROVIDERS[provider]['key_field']} "
f"(configure with `agent-reach configure {provider}-key ...`)"
)
info = PROVIDERS[provider]
with chunk.open("rb") as fh:
try:
resp = requests.post(
info["endpoint"],
headers={"Authorization": f"Bearer {key}"},
files={"file": (chunk.name, fh, "audio/m4a")},
data={"model": info["model"], "response_format": "text"},
timeout=timeout,
)
except requests.RequestException as e:
raise TranscribeError(f"{provider}: network error: {e}") from e
if not resp.ok:
raise TranscribeError(f"{provider}: HTTP {resp.status_code}: {resp.text[:300]}")
return resp.text
def _provider_order(provider: str) -> List[str]:
if provider == "auto":
return ["groq", "openai"]
if provider in PROVIDERS:
return [provider]
raise TranscribeError(f"unknown provider: {provider} (use groq|openai|auto)")
def transcribe(
source: str,
*,
provider: str = "auto",
out_dir: Optional[Path] = None,
config: Optional[Config] = None,
) -> str:
"""Transcribe a URL or local file path. Returns the joined transcript text.
`provider` is one of `auto` (groq → openai), `groq`, or `openai`.
`out_dir` defaults to a fresh temp directory; intermediate files stay there.
"""
cfg = config or Config()
order = _provider_order(provider)
# Validate at least one provider is configured before doing expensive work.
if not any(_provider_key(p, cfg) for p in order):
names = ", ".join(PROVIDERS[p]["key_field"] for p in order)
raise NoProviderConfigured(f"no provider key configured (need one of: {names})")
work_dir = Path(out_dir) if out_dir else Path(tempfile.mkdtemp(prefix="transcribe-"))
work_dir.mkdir(parents=True, exist_ok=True)
src_path = Path(source)
if src_path.is_file():
audio = src_path
else:
audio = download_audio(source, work_dir)
compressed = compress_audio(audio, work_dir)
if compressed.stat().st_size <= SIZE_LIMIT_BYTES:
chunks = [compressed]
else:
chunks = chunk_audio(compressed, work_dir)
pieces: List[str] = []
for chunk in chunks:
text = _transcribe_with_fallback(chunk, order, cfg)
pieces.append(text.strip())
return "\n".join(p for p in pieces if p)
def _transcribe_with_fallback(chunk: Path, order: List[str], config: Config) -> str:
"""Try each provider in order; return first success or raise the last error."""
last_err: Optional[Exception] = None
for p in order:
if not _provider_key(p, config):
# Skip silently — caller already validated at least one is configured.
continue
try:
return transcribe_chunk(chunk, p, config=config)
except TranscribeError as e:
last_err = e
continue
raise TranscribeError(f"all providers failed for {chunk.name}: {last_err}")
+15
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@@ -33,6 +33,21 @@ class TestCLI:
assert "Agent Reach" in captured.out assert "Agent Reach" in captured.out
assert "" in captured.out assert "" in captured.out
def test_transcribe_command_prints_text(self, capsys):
with patch("agent_reach.transcribe.transcribe", return_value="hello transcript"):
with patch("sys.argv", ["agent-reach", "transcribe", "audio.mp3"]):
main()
captured = capsys.readouterr()
assert "hello transcript" in captured.out
def test_transcribe_command_writes_output_file(self, capsys, tmp_path):
out_file = tmp_path / "t.txt"
with patch("agent_reach.transcribe.transcribe", return_value="saved text"):
with patch("sys.argv", ["agent-reach", "transcribe", "audio.mp3", "-o", str(out_file)]):
main()
assert out_file.read_text(encoding="utf-8").strip() == "saved text"
assert "Transcript written" in capsys.readouterr().out
def test_parse_twitter_cookie_input_separate_values(self): def test_parse_twitter_cookie_input_separate_values(self):
auth_token, ct0 = cli._parse_twitter_cookie_input("token123 ct0abc") auth_token, ct0 = cli._parse_twitter_cookie_input("token123 ct0abc")
assert auth_token == "token123" assert auth_token == "token123"
+262
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@@ -0,0 +1,262 @@
# -*- coding: utf-8 -*-
"""Tests for agent_reach.transcribe — provider routing, fallback, and errors."""
from typing import List
import pytest
from agent_reach import transcribe as tr
from agent_reach.config import Config
# --- Fixtures ----------------------------------------------------------- #
@pytest.fixture
def fake_config(tmp_path, monkeypatch):
"""A Config that writes to a temp dir and never touches the user's HOME."""
cfg_path = tmp_path / "config.yaml"
monkeypatch.setattr(Config, "CONFIG_DIR", tmp_path)
monkeypatch.setattr(Config, "CONFIG_FILE", cfg_path)
cfg = Config(config_path=cfg_path)
return cfg
@pytest.fixture
def chunk_file(tmp_path):
p = tmp_path / "chunk.m4a"
p.write_bytes(b"\x00fake-m4a-bytes")
return p
class FakeResponse:
def __init__(self, status_code: int, text: str = ""):
self.status_code = status_code
self.text = text
@property
def ok(self) -> bool:
return 200 <= self.status_code < 300
# --- transcribe_chunk: provider routing -------------------------------- #
class TestTranscribeChunk:
def test_routes_to_groq_endpoint(self, monkeypatch, fake_config, chunk_file):
fake_config.set("groq_api_key", "gsk_test")
captured = {}
def fake_post(url, headers=None, files=None, data=None, timeout=None):
captured["url"] = url
captured["headers"] = headers
captured["model"] = data["model"]
return FakeResponse(200, "hello world")
monkeypatch.setattr(tr.requests, "post", fake_post)
text = tr.transcribe_chunk(chunk_file, "groq", config=fake_config)
assert text == "hello world"
assert captured["url"] == tr.PROVIDERS["groq"]["endpoint"]
assert captured["model"] == "whisper-large-v3"
assert captured["headers"]["Authorization"] == "Bearer gsk_test"
def test_routes_to_openai_endpoint(self, monkeypatch, fake_config, chunk_file):
fake_config.set("openai_api_key", "sk-test")
captured = {}
def fake_post(url, headers=None, files=None, data=None, timeout=None):
captured["url"] = url
captured["model"] = data["model"]
return FakeResponse(200, "openai output")
monkeypatch.setattr(tr.requests, "post", fake_post)
text = tr.transcribe_chunk(chunk_file, "openai", config=fake_config)
assert text == "openai output"
assert captured["url"] == tr.PROVIDERS["openai"]["endpoint"]
assert captured["model"] == "whisper-1"
def test_raises_when_key_missing(self, fake_config, chunk_file):
with pytest.raises(tr.NoProviderConfigured):
tr.transcribe_chunk(chunk_file, "groq", config=fake_config)
def test_raises_on_http_error(self, monkeypatch, fake_config, chunk_file):
fake_config.set("groq_api_key", "gsk_test")
monkeypatch.setattr(
tr.requests,
"post",
lambda *a, **k: FakeResponse(429, "rate limited"),
)
with pytest.raises(tr.TranscribeError, match="HTTP 429"):
tr.transcribe_chunk(chunk_file, "groq", config=fake_config)
def test_unknown_provider(self, fake_config, chunk_file):
with pytest.raises(tr.TranscribeError, match="unknown provider"):
tr.transcribe_chunk(chunk_file, "azure", config=fake_config)
# --- _transcribe_with_fallback ----------------------------------------- #
class TestFallback:
def test_groq_succeeds_no_openai_call(self, monkeypatch, fake_config, chunk_file):
fake_config.set("groq_api_key", "gsk_test")
fake_config.set("openai_api_key", "sk-test")
calls: List[str] = []
def fake_post(url, headers=None, files=None, data=None, timeout=None):
calls.append(url)
return FakeResponse(200, "from-groq")
monkeypatch.setattr(tr.requests, "post", fake_post)
text = tr._transcribe_with_fallback(chunk_file, ["groq", "openai"], fake_config)
assert text == "from-groq"
assert calls == [tr.PROVIDERS["groq"]["endpoint"]]
def test_groq_429_falls_back_to_openai(self, monkeypatch, fake_config, chunk_file):
fake_config.set("groq_api_key", "gsk_test")
fake_config.set("openai_api_key", "sk-test")
calls: List[str] = []
def fake_post(url, headers=None, files=None, data=None, timeout=None):
calls.append(url)
if url == tr.PROVIDERS["groq"]["endpoint"]:
return FakeResponse(429, "rate limited")
return FakeResponse(200, "from-openai")
monkeypatch.setattr(tr.requests, "post", fake_post)
text = tr._transcribe_with_fallback(chunk_file, ["groq", "openai"], fake_config)
assert text == "from-openai"
assert calls == [
tr.PROVIDERS["groq"]["endpoint"],
tr.PROVIDERS["openai"]["endpoint"],
]
def test_skip_unconfigured_provider(self, monkeypatch, fake_config, chunk_file):
# Only openai key configured — fallback should skip groq silently.
fake_config.set("openai_api_key", "sk-test")
calls: List[str] = []
def fake_post(url, headers=None, files=None, data=None, timeout=None):
calls.append(url)
return FakeResponse(200, "via-openai")
monkeypatch.setattr(tr.requests, "post", fake_post)
text = tr._transcribe_with_fallback(chunk_file, ["groq", "openai"], fake_config)
assert text == "via-openai"
assert calls == [tr.PROVIDERS["openai"]["endpoint"]]
def test_all_fail_raises_with_last_error(self, monkeypatch, fake_config, chunk_file):
fake_config.set("groq_api_key", "gsk_test")
fake_config.set("openai_api_key", "sk-test")
monkeypatch.setattr(
tr.requests,
"post",
lambda *a, **k: FakeResponse(500, "boom"),
)
with pytest.raises(tr.TranscribeError, match="all providers failed"):
tr._transcribe_with_fallback(chunk_file, ["groq", "openai"], fake_config)
# --- transcribe (orchestrator) ---------------------------------------- #
class TestOrchestrator:
def test_local_file_skips_yt_dlp(self, monkeypatch, fake_config, tmp_path, chunk_file):
fake_config.set("groq_api_key", "gsk_test")
def boom_download(*a, **k):
raise AssertionError("yt-dlp must not be called for local files")
# Stub heavy external steps to no-ops that keep file paths valid.
compressed = tmp_path / "compressed.m4a"
compressed.write_bytes(b"x" * 1024)
def fake_compress(src, out_dir):
return compressed
monkeypatch.setattr(tr, "download_audio", boom_download)
monkeypatch.setattr(tr, "compress_audio", fake_compress)
monkeypatch.setattr(
tr.requests,
"post",
lambda *a, **k: FakeResponse(200, "transcript text"),
)
text = tr.transcribe(
str(chunk_file),
out_dir=tmp_path / "work",
config=fake_config,
)
assert text == "transcript text"
def test_chunks_concatenated_with_newlines(
self, monkeypatch, fake_config, tmp_path, chunk_file
):
fake_config.set("groq_api_key", "gsk_test")
# Force the "needs chunking" path by writing a file above the size limit.
big = tmp_path / "compressed.m4a"
big.write_bytes(b"x" * (tr.SIZE_LIMIT_BYTES + 1))
monkeypatch.setattr(tr, "compress_audio", lambda src, out_dir: big)
c1 = tmp_path / "chunk_001.m4a"
c2 = tmp_path / "chunk_002.m4a"
c1.write_bytes(b"a")
c2.write_bytes(b"b")
monkeypatch.setattr(tr, "chunk_audio", lambda src, out_dir: [c1, c2])
responses = iter(["part one ", "part two "])
monkeypatch.setattr(
tr.requests,
"post",
lambda *a, **k: FakeResponse(200, next(responses)),
)
text = tr.transcribe(
str(chunk_file),
out_dir=tmp_path / "work",
config=fake_config,
)
assert text == "part one\npart two"
def test_no_provider_configured_fails_fast(self, fake_config, chunk_file):
with pytest.raises(tr.NoProviderConfigured):
tr.transcribe(str(chunk_file), config=fake_config)
def test_invalid_provider_string(self, fake_config, chunk_file):
with pytest.raises(tr.TranscribeError, match="unknown provider"):
tr.transcribe(str(chunk_file), provider="azure", config=fake_config)
# --- YouTubeChannel integration --------------------------------------- #
class TestYouTubeChannelTranscribe:
def test_delegates_to_transcribe(self, monkeypatch, fake_config):
from agent_reach.channels.youtube import YouTubeChannel
captured = {}
def fake_transcribe(source, *, provider="auto", out_dir=None, config=None):
captured["source"] = source
captured["provider"] = provider
captured["config"] = config
return "delegated text"
monkeypatch.setattr(tr, "transcribe", fake_transcribe)
out = YouTubeChannel().transcribe(
"https://youtu.be/abc", provider="groq", config=fake_config
)
assert out == "delegated text"
assert captured["source"] == "https://youtu.be/abc"
assert captured["provider"] == "groq"
assert captured["config"] is fake_config
# --- Config feature requirement --------------------------------------- #
class TestConfigOpenAIWhisper:
def test_openai_whisper_feature_registered(self, fake_config):
assert "openai_whisper" in Config.FEATURE_REQUIREMENTS
assert Config.FEATURE_REQUIREMENTS["openai_whisper"] == ["openai_api_key"]
assert not fake_config.is_configured("openai_whisper")
fake_config.set("openai_api_key", "sk-test")
assert fake_config.is_configured("openai_whisper")