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chore(deps): update github actions#5488

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@renovate renovate Bot commented Apr 20, 2026 •
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This PR contains the following updates:

Package Type Update Change
astral-sh/setup-uv action minor v8.0.0 → v8.1.0
python uses-with minor 3.12 → 3.14
python uses-with minor 3.10 → 3.14
python uses-with minor 3.11 → 3.14

Release Notes

astral-sh/setup-uv (astral-sh/setup-uv)

v8.1.0: 🌈 New input no-project

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Changes

This add the a new boolean input no-project.
It only makes sense to use in combination with activate-environment: true and will append --no project to the uv venv call. This is for example useful if you have a pyproject.toml file with parts unparseable by uv

🚀 Enhancements

🧰 Maintenance

📚 Documentation

⬆️ Dependency updates

actions/python-versions (python)

v3.14.4: 3.14.4

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Python 3.14.4

v3.14.3: 3.14.3

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Python 3.14.3

v3.14.2: 3.14.2

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Python 3.14.2

v3.14.1: 3.14.1

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Python 3.14.1

v3.14.0: 3.14.0

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Python 3.14.0

v3.13.13: 3.13.13

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Python 3.13.13

v3.13.12: 3.13.12

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Python 3.13.12

v3.13.11: 3.13.11

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Python 3.13.11

v3.13.10: 3.13.10

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Python 3.13.10

v3.13.9: 3.13.9

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Python 3.13.9

v3.13.8: 3.13.8

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Python 3.13.8

v3.13.7: 3.13.7

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Python 3.13.7

v3.13.6: 3.13.6

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Python 3.13.6

v3.13.5: 3.13.5

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Python 3.13.5

v3.13.4: 3.13.4

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Python 3.13.4

v3.13.3: 3.13.3

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Python 3.13.3

v3.13.2: 3.13.2

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Python 3.13.2

v3.13.1: 3.13.1

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Python 3.13.1

v3.13.0: 3.13.0

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Python 3.13.0

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@chenghao-mou chenghao-mou requested a review from a team April 20, 2026 00:46
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✅ Devin Review: No Issues Found

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github-actions Bot commented Apr 20, 2026 •
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STT Test Results

Status: ✗ Some tests failed

Metric Count
✓ Passed 20
✗ Failed 3
× Errors 1
→ Skipped 15
▣ Total 39
⏱ Duration 245.7s
Failed Tests
  • tests.test_stt::test_stream[livekit.plugins.speechmatics] 
    def finalizer() -> None:
        """Yield again, to finalize."""
  
        async def async_finalizer() -> None:
            try:
                await gen_obj.__anext__()
            except StopAsyncIteration:
                pass
            else:
                msg = "Async generator fixture didn't stop."
                msg += "Yield only once."
                raise ValueError(msg)
  
>       runner.run(async_finalizer(), context=context)

.venv/lib/python3.14/site-packages/pytest_asyncio/plugin.py:330: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <asyncio.runners.Runner object at 0x7ff0862f4d50>
coro = <coroutine object _wrap_asyncgen_fixture.<locals>._asyncgen_fixture_wrapper.<locals>.finalizer.<locals>.async_finalizer at 0x7ff08637fe60>

    def run(self, coro, *, context=None):
        """Run code in the embedded event loop."""
        if events._get_running_loop() is not None:
            # fail fast with short traceback
            raise RuntimeError(
                "Runner.run() cannot be called from a running event loop")
  
        self._lazy_init()
  
        if not coroutines.iscoroutine(coro):
            if inspect.isawaitable(coro):
                async def _wrap_awaitable(awaitable):
                    return await awaitable
  
                coro = _wrap_awaitable(coro)
            else:
                raise TypeError('An asyncio.Future, a coroutine or an '
                                'awaitable is required')
  
        if context is None:
            context = self._context
  
        task = self._loop.create_task(coro, context=context)
  
        if (threading.current_thread() is threading.main_thread()
            and signal.getsignal(signal.SIGINT) is signal.default_int_handler
        ):
            sigint_handler = functools.partial(self._on_sigint, main_task=task)
            try:
                signal.signal(signal.SIGINT, sigint_handler)
            except ValueErro
  • tests.test_stt::test_stream[livekit.plugins.nvidia] 
    stt_factory = <function parameter_factory.<locals>.<lambda> at 0x7ff0781dacf0>
request = <FixtureRequest for <Coroutine test_stream[livekit.plugins.nvidia]>>

    @pytest.mark.usefixtures("job_process")
    @pytest.mark.parametrize("stt_factory", STTs)
    async def test_stream(stt_factory: Callable[[], STT], request):
        sample_rate = SAMPLE_RATE
        plugin_id = request.node.callspec.id.split("-")[0]
        frames, transcript, _ = await make_test_speech(chunk_duration_ms=10, sample_rate=sample_rate)
  
        # TODO: differentiate missing key vs other errors
        try:
            stt_instance: STT = stt_factory()
        except ValueError as e:
            pytest.skip(f"{plugin_id}: {e}")
  
        async with stt_instance as stt:
            label = f"{stt.model}@{stt.provider}"
            if not stt.capabilities.streaming:
                pytest.skip(f"{label} does not support streaming")
  
            for attempt in range(MAX_RETRIES):
                try:
                    state = {"closing": False}
  
                    async def _stream_input(
                        frames: list[rtc.AudioFrame], stream: RecognizeStream, state: dict = state
                    ):
                        for frame in frames:
                            stream.push_frame(frame)
                            await asyncio.sleep(0.005)
  
                        stream.end_input()
                        state["closing"] = True
  
                    async def _stream_output(stream: RecognizeStream, state: dict = state):
                        text = ""
                        # make sure the events are sent in the right order
                        recv_start, recv_end = False, True
                        start_time = time.time()
                        got_final_transcript = False
  
                        async for event in stream:
                            if event.type == agents.stt.SpeechEventType.START_OF_SPEECH:
  • tests.test_stt::test_stream[livekit.agents.inference] 
    stt_factory = <function parameter_factory.<locals>.<lambda> at 0x7fc580b740f0>
request = <FixtureRequest for <Coroutine test_stream[livekit.agents.inference]>>

    @pytest.mark.usefixtures("job_process")
    @pytest.mark.parametrize("stt_factory", STTs)
    async def test_stream(stt_factory: Callable[[], STT], request):
        sample_rate = SAMPLE_RATE
        plugin_id = request.node.callspec.id.split("-")[0]
        frames, transcript, _ = await make_test_speech(chunk_duration_ms=10, sample_rate=sample_rate)
  
        # TODO: differentiate missing key vs other errors
        try:
            stt_instance: STT = stt_factory()
        except ValueError as e:
            pytest.skip(f"{plugin_id}: {e}")
  
        async with stt_instance as stt:
            label = f"{stt.model}@{stt.provider}"
            if not stt.capabilities.streaming:
                pytest.skip(f"{label} does not support streaming")
  
            for attempt in range(MAX_RETRIES):
                try:
                    state = {"closing": False}
  
                    async def _stream_input(
                        frames: list[rtc.AudioFrame], stream: RecognizeStream, state: dict = state
                    ):
                        for frame in frames:
                            stream.push_frame(frame)
                            await asyncio.sleep(0.005)
  
                        stream.end_input()
                        state["closing"] = True
  
                    async def _stream_output(stream: RecognizeStream, state: dict = state):
                        text = ""
                        # make sure the events are sent in the right order
                        recv_start, recv_end = False, True
                        start_time = time.time()
                        got_final_transcript = False
  
                        async for event in stream:
                            if event.type == agents.stt.SpeechEventType.START_OF_SPEECH:
  • tests.test_stt::test_stream[livekit.plugins.deepgram.STTv2] 
    stt_factory = <function <lambda> at 0x7ff0781db320>
request = <FixtureRequest for <Coroutine test_stream[livekit.plugins.deepgram.STTv2]>>

    @pytest.mark.usefixtures("job_process")
    @pytest.mark.parametrize("stt_factory", STTs)
    async def test_stream(stt_factory: Callable[[], STT], request):
        sample_rate = SAMPLE_RATE
        plugin_id = request.node.callspec.id.split("-")[0]
        frames, transcript, _ = await make_test_speech(chunk_duration_ms=10, sample_rate=sample_rate)
  
        # TODO: differentiate missing key vs other errors
        try:
            stt_instance: STT = stt_factory()
        except ValueError as e:
            pytest.skip(f"{plugin_id}: {e}")
  
        async with stt_instance as stt:
            label = f"{stt.model}@{stt.provider}"
            if not stt.capabilities.streaming:
                pytest.skip(f"{label} does not support streaming")
  
            for attempt in range(MAX_RETRIES):
                try:
                    state = {"closing": False}
  
                    async def _stream_input(
                        frames: list[rtc.AudioFrame], stream: RecognizeStream, state: dict = state
                    ):
                        for frame in frames:
                            stream.push_frame(frame)
                            await asyncio.sleep(0.005)
  
                        stream.end_input()
                        state["closing"] = True
  
                    async def _stream_output(stream: RecognizeStream, state: dict = state):
                        text = ""
                        # make sure the events are sent in the right order
                        recv_start, recv_end = False, True
                        start_time = time.time()
                        got_final_transcript = False
  
                        async for event in stream:
                            if event.type == agents.stt.SpeechEventType.START_OF_SPEECH:
                                assert rec
Skipped Tests
Test Reason
tests.test_stt::test_recognize[livekit.plugins.assemblyai] universal-streaming-english@AssemblyAI does not support batch recognition
tests.test_stt::test_recognize[livekit.plugins.speechmatics] enhanced@Speechmatics does not support batch recognition
tests.test_stt::test_recognize[livekit.plugins.fireworksai] unknown@FireworksAI does not support batch recognition
tests.test_stt::test_recognize[livekit.plugins.cartesia] ink-whisper@Cartesia does not support batch recognition
tests.test_stt::test_recognize[livekit.plugins.nvidia] unknown@unknown does not support batch recognition
tests.test_stt::test_recognize[livekit.plugins.soniox] stt-rt-v4@Soniox does not support batch recognition
tests.test_stt::test_recognize[livekit.plugins.aws] unknown@Amazon Transcribe does not support batch recognition
tests.test_stt::test_recognize[livekit.plugins.deepgram.STTv2] flux-general-en@Deepgram does not support batch recognition
tests.test_stt::test_recognize[livekit.plugins.gradium.STT] unknown@Gradium does not support batch recognition
tests.test_stt::test_recognize[livekit.agents.inference] unknown@livekit does not support batch recognition
tests.test_stt::test_recognize[livekit.plugins.azure] unknown@Azure STT does not support batch recognition
tests.test_stt::test_stream[livekit.plugins.elevenlabs] scribe_v1@ElevenLabs does not support streaming
tests.test_stt::test_stream[livekit.plugins.fal] Wizper@Fal does not support streaming
tests.test_stt::test_stream[livekit.plugins.mistralai] voxtral-mini-latest@MistralAI does not support streaming
tests.test_stt::test_stream[livekit.plugins.openai] gpt-4o-mini-transcribe@api.openai.com does not support streaming

Triggered by workflow run #1900

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chenghao-mou commented Apr 20, 2026

/test-stt

@renovate renovate Bot force-pushed the renovate/github-actions branch 3 times, most recently from f6c98f5 to 67b4d33 Compare April 27, 2026 05:30
@renovate renovate Bot force-pushed the renovate/github-actions branch from 67b4d33 to 7f8f90b Compare April 29, 2026 12:08
@renovate
chore(deps): update github actions
1d5b7c8 
Generated by renovateBot
@renovate renovate Bot force-pushed the renovate/github-actions branch from 7f8f90b to 1d5b7c8 Compare April 30, 2026 20:19
@renovate renovate Bot changed the title chore(deps): update dependency python to 3.14 chore(deps): update github actions Apr 30, 2026
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