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https://github.com/NousResearch/hermes-agent.git
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fix: address PR review round 4 — remove web UI, fix audio/import/interface issues
Remove web UI gateway (web.py, tests, docs, toolset, env vars, Platform.WEB enum) per maintainer request — Nous is building their own official chat UI. Fix 1: Replace sd.wait() with polling pattern in play_audio_file() to prevent indefinite hang when audio device stalls (consistent with play_beep()). Fix 2: Use importlib.util.find_spec() for faster_whisper/openai availability checks instead of module-level imports that trigger heavy native library loading (CUDA/cuDNN) at import time. Fix 3: Remove inspect.signature() hack in _send_voice_reply() — add **kwargs to Telegram send_voice() so all adapters accept metadata uniformly. Fix 4: Make session loading resilient to removed platform enum values — skip entries with unknown platforms instead of crashing the entire gateway.
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0xbyt4
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commit
35748a2fb0
17 changed files with 55 additions and 2930 deletions
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@ -160,7 +160,7 @@ class TestTranscribeGroq:
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mock_client.audio.transcriptions.create.return_value = "hello world"
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with patch("tools.transcription_tools._HAS_OPENAI", True), \
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patch("tools.transcription_tools.OpenAI", return_value=mock_client):
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patch("openai.OpenAI", return_value=mock_client):
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from tools.transcription_tools import _transcribe_groq
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result = _transcribe_groq(sample_wav, "whisper-large-v3-turbo")
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@ -175,7 +175,7 @@ class TestTranscribeGroq:
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mock_client.audio.transcriptions.create.return_value = " hello world \n"
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with patch("tools.transcription_tools._HAS_OPENAI", True), \
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patch("tools.transcription_tools.OpenAI", return_value=mock_client):
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patch("openai.OpenAI", return_value=mock_client):
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from tools.transcription_tools import _transcribe_groq
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result = _transcribe_groq(sample_wav, "whisper-large-v3-turbo")
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@ -188,7 +188,7 @@ class TestTranscribeGroq:
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mock_client.audio.transcriptions.create.return_value = "test"
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with patch("tools.transcription_tools._HAS_OPENAI", True), \
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patch("tools.transcription_tools.OpenAI", return_value=mock_client) as mock_openai_cls:
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patch("openai.OpenAI", return_value=mock_client) as mock_openai_cls:
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from tools.transcription_tools import _transcribe_groq, GROQ_BASE_URL
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_transcribe_groq(sample_wav, "whisper-large-v3-turbo")
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@ -202,7 +202,7 @@ class TestTranscribeGroq:
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mock_client.audio.transcriptions.create.side_effect = Exception("API error")
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with patch("tools.transcription_tools._HAS_OPENAI", True), \
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patch("tools.transcription_tools.OpenAI", return_value=mock_client):
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patch("openai.OpenAI", return_value=mock_client):
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from tools.transcription_tools import _transcribe_groq
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result = _transcribe_groq(sample_wav, "whisper-large-v3-turbo")
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@ -216,7 +216,7 @@ class TestTranscribeGroq:
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mock_client.audio.transcriptions.create.side_effect = PermissionError("denied")
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with patch("tools.transcription_tools._HAS_OPENAI", True), \
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patch("tools.transcription_tools.OpenAI", return_value=mock_client):
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patch("openai.OpenAI", return_value=mock_client):
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from tools.transcription_tools import _transcribe_groq
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result = _transcribe_groq(sample_wav, "whisper-large-v3-turbo")
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@ -244,7 +244,7 @@ class TestTranscribeOpenAIExtended:
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mock_client.audio.transcriptions.create.return_value = "test"
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with patch("tools.transcription_tools._HAS_OPENAI", True), \
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patch("tools.transcription_tools.OpenAI", return_value=mock_client) as mock_openai_cls:
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patch("openai.OpenAI", return_value=mock_client) as mock_openai_cls:
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from tools.transcription_tools import _transcribe_openai, OPENAI_BASE_URL
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_transcribe_openai(sample_wav, "whisper-1")
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@ -258,7 +258,7 @@ class TestTranscribeOpenAIExtended:
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mock_client.audio.transcriptions.create.return_value = " hello \n"
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with patch("tools.transcription_tools._HAS_OPENAI", True), \
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patch("tools.transcription_tools.OpenAI", return_value=mock_client):
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patch("openai.OpenAI", return_value=mock_client):
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from tools.transcription_tools import _transcribe_openai
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result = _transcribe_openai(sample_wav, "whisper-1")
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@ -271,7 +271,7 @@ class TestTranscribeOpenAIExtended:
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mock_client.audio.transcriptions.create.side_effect = PermissionError("denied")
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with patch("tools.transcription_tools._HAS_OPENAI", True), \
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patch("tools.transcription_tools.OpenAI", return_value=mock_client):
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patch("openai.OpenAI", return_value=mock_client):
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from tools.transcription_tools import _transcribe_openai
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result = _transcribe_openai(sample_wav, "whisper-1")
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@ -300,7 +300,7 @@ class TestTranscribeLocalExtended:
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mock_whisper_cls = MagicMock(return_value=mock_model)
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with patch("tools.transcription_tools._HAS_FASTER_WHISPER", True), \
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patch("tools.transcription_tools.WhisperModel", mock_whisper_cls), \
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patch("faster_whisper.WhisperModel", mock_whisper_cls), \
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patch("tools.transcription_tools._local_model", None), \
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patch("tools.transcription_tools._local_model_name", None):
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from tools.transcription_tools import _transcribe_local
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@ -326,7 +326,7 @@ class TestTranscribeLocalExtended:
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mock_whisper_cls = MagicMock(return_value=mock_model)
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with patch("tools.transcription_tools._HAS_FASTER_WHISPER", True), \
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patch("tools.transcription_tools.WhisperModel", mock_whisper_cls), \
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patch("faster_whisper.WhisperModel", mock_whisper_cls), \
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patch("tools.transcription_tools._local_model", None), \
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patch("tools.transcription_tools._local_model_name", None):
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from tools.transcription_tools import _transcribe_local
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@ -342,7 +342,7 @@ class TestTranscribeLocalExtended:
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mock_whisper_cls = MagicMock(side_effect=RuntimeError("CUDA out of memory"))
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with patch("tools.transcription_tools._HAS_FASTER_WHISPER", True), \
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patch("tools.transcription_tools.WhisperModel", mock_whisper_cls), \
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patch("faster_whisper.WhisperModel", mock_whisper_cls), \
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patch("tools.transcription_tools._local_model", None):
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from tools.transcription_tools import _transcribe_local
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result = _transcribe_local(str(audio), "large-v3")
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@ -366,7 +366,7 @@ class TestTranscribeLocalExtended:
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mock_model.transcribe.return_value = ([seg1, seg2], mock_info)
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with patch("tools.transcription_tools._HAS_FASTER_WHISPER", True), \
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patch("tools.transcription_tools.WhisperModel", return_value=mock_model), \
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patch("faster_whisper.WhisperModel", return_value=mock_model), \
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patch("tools.transcription_tools._local_model", None):
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from tools.transcription_tools import _transcribe_local
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result = _transcribe_local(str(audio), "base")
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@ -387,7 +387,7 @@ class TestModelAutoCorrection:
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mock_client.audio.transcriptions.create.return_value = "hello world"
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with patch("tools.transcription_tools._HAS_OPENAI", True), \
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patch("tools.transcription_tools.OpenAI", return_value=mock_client):
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patch("openai.OpenAI", return_value=mock_client):
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from tools.transcription_tools import _transcribe_groq, DEFAULT_GROQ_STT_MODEL
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_transcribe_groq(sample_wav, "whisper-1")
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@ -401,7 +401,7 @@ class TestModelAutoCorrection:
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mock_client.audio.transcriptions.create.return_value = "test"
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with patch("tools.transcription_tools._HAS_OPENAI", True), \
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patch("tools.transcription_tools.OpenAI", return_value=mock_client):
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patch("openai.OpenAI", return_value=mock_client):
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from tools.transcription_tools import _transcribe_groq, DEFAULT_GROQ_STT_MODEL
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_transcribe_groq(sample_wav, "gpt-4o-transcribe")
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@ -415,7 +415,7 @@ class TestModelAutoCorrection:
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mock_client.audio.transcriptions.create.return_value = "hello world"
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with patch("tools.transcription_tools._HAS_OPENAI", True), \
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patch("tools.transcription_tools.OpenAI", return_value=mock_client):
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patch("openai.OpenAI", return_value=mock_client):
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from tools.transcription_tools import _transcribe_openai, DEFAULT_STT_MODEL
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_transcribe_openai(sample_wav, "whisper-large-v3-turbo")
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@ -429,7 +429,7 @@ class TestModelAutoCorrection:
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mock_client.audio.transcriptions.create.return_value = "test"
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with patch("tools.transcription_tools._HAS_OPENAI", True), \
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patch("tools.transcription_tools.OpenAI", return_value=mock_client):
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patch("openai.OpenAI", return_value=mock_client):
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from tools.transcription_tools import _transcribe_openai, DEFAULT_STT_MODEL
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_transcribe_openai(sample_wav, "distil-whisper-large-v3-en")
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@ -443,7 +443,7 @@ class TestModelAutoCorrection:
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mock_client.audio.transcriptions.create.return_value = "test"
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with patch("tools.transcription_tools._HAS_OPENAI", True), \
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patch("tools.transcription_tools.OpenAI", return_value=mock_client):
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patch("openai.OpenAI", return_value=mock_client):
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from tools.transcription_tools import _transcribe_groq
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_transcribe_groq(sample_wav, "whisper-large-v3")
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@ -457,7 +457,7 @@ class TestModelAutoCorrection:
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mock_client.audio.transcriptions.create.return_value = "test"
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with patch("tools.transcription_tools._HAS_OPENAI", True), \
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patch("tools.transcription_tools.OpenAI", return_value=mock_client):
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patch("openai.OpenAI", return_value=mock_client):
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from tools.transcription_tools import _transcribe_openai
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_transcribe_openai(sample_wav, "gpt-4o-mini-transcribe")
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@ -472,7 +472,7 @@ class TestModelAutoCorrection:
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mock_client.audio.transcriptions.create.return_value = "test"
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with patch("tools.transcription_tools._HAS_OPENAI", True), \
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patch("tools.transcription_tools.OpenAI", return_value=mock_client):
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patch("openai.OpenAI", return_value=mock_client):
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from tools.transcription_tools import _transcribe_groq
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_transcribe_groq(sample_wav, "my-custom-model")
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@ -486,7 +486,7 @@ class TestModelAutoCorrection:
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mock_client.audio.transcriptions.create.return_value = "test"
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with patch("tools.transcription_tools._HAS_OPENAI", True), \
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patch("tools.transcription_tools.OpenAI", return_value=mock_client):
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patch("openai.OpenAI", return_value=mock_client):
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from tools.transcription_tools import _transcribe_openai
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_transcribe_openai(sample_wav, "my-custom-model")
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