github / github/copilot-cli

[Bug] Voice mode crashes CLI with ONNX Runtime assertion in Nemotron ASR on Linux

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Descripción

Describe the bug

Enabling and using voice input causes GitHub Copilot CLI to abort with signal 6 (SIGABRT) and dump core on Linux x64. The crash occurs while the local Nemotron speech model is processing audio.

Copilot CLI version

1.0.83

Environment
  • OS: Manjaro Linux
  • Kernel: 7.1.13-2-MANJARO
  • Architecture: x86_64
  • glibc: 2.44
  • Node.js runtime shown by CLI logs: v24.20.0
  • Microphone: HD-Audio Generic / ALC257 Analog
  • Voice model: nemotron-3.5-asr-streaming-0.6b-generic-cpu:3
Steps to reproduce
  1. Start Copilot CLI 1.0.83 on Linux x64.
  2. Enable voice input with /voice.
  3. Start recording and speak into the default microphone.
  4. Stop recording / allow transcription to start.
  5. The Copilot CLI process aborts and the system records a core dump.
Expected behavior

The spoken input is transcribed and inserted into the prompt without terminating the CLI.

Actual behavior

The CLI terminates with Signal: 6 (ABRT). The crash stack is in ONNX Runtime GenAI and Foundry Local Core:

__assert_fail (libc.so.6)
libonnxruntime.so
OrtSession::Run (libonnxruntime-genai.so)
Generators::NemotronEncoderSubState::Run
Generators::NemotronSpeechState::StepToken
OgaGenerator_GenerateNextToken
Microsoft.AI.Foundry.Local.Core.so

The process command line was:

/home/soenke/.nvm/versions/node/v24.13.0/lib/node_modules/@github/copilot/node_modules/@github/copilot-linux-x64/copilot --prefer-version 1.0.83

The complete systemd-coredump stack trace is attached in the report supplied with this issue.

Additional context
  • The microphone is detected by ALSA and appears as a capture device.
  • The voice server starts successfully and accepts a client connection.
  • A previous voice-server log entry also reported PvRecorder failed to read audio data frame, but the fatal crash reported here happens later in the Nemotron/ONNX Runtime inference path.
  • Updating with copilot update confirms that 1.0.83 is currently the latest available version.
  • The crash appears to be in the bundled native voice stack (Microsoft.AI.Foundry.Local.Core.so / libonnxruntime-genai.so), rather than in repository code or the prompt UI.
  • Related issue: #4024 (voice transcription routing failure for nemotron_speech); this report is different because the CLI aborts instead of returning an empty transcript.
Logs

A full stack trace is available from the reporter and can be provided if needed. The key frames are:

#4  __assert_fail (libc.so.6)
#5  ... (libonnxruntime.so)
#20 OrtSession::RunEP ... (libonnxruntime-genai.so)
#21 Generators::NemotronEncoderSubState::Run ...
#22 Generators::NemotronSpeechState::StepToken ...
#23 Generators::Generator::GenerateNextToken ...
#24 OgaGenerator_GenerateNextToken ...
#25+ Microsoft.AI.Foundry.Local.Core.so

Could the voice inference path handle this model/runtime error without aborting the entire CLI, and could the Linux CPU Nemotron model compatibility be investigated?

Guía de contribución

Abrir la guía de contribución

Primeros pasos

  1. Lee el issue completo y luego la guía de contribución del proyecto.
  2. Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
  3. Haz un fork del repositorio y trabaja en una rama.
  4. Abre un pull request que haga referencia al número del issue.

Línea de trabajo

Comienza con la traza de systemd-coredump proporcionada y los artefactos incluidos Microsoft.AI.Foundry.Local.Core.so y libonnxruntime-genai.so. Sigue la ruta de grabación /voice a través de NemotronSpeechState::StepToken y OrtSession::Run, y reproduce el problema en Linux x64 con el modelo y el runtime indicados. Se considera terminado cuando el fallo de compatibilidad esté caracterizado y la CLI ya no se aborte durante la transcripción, o cuando el problema se haya acotado a la pila nativa incluida.

Escrito por el modelo de indexación a partir del texto del issue.

Evaluación

Stack tecnológico
linux, machine-learning, node.js
Área
cli, machine-learning, operating-systems
Tipo de issue
Error
Dificultad
5/5
Tiempo estimado
Más de una semana
Estado de actividad
Activo
Claridad
Bastante claro
Aptitud para principiantes
35/100

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