# Desktop app: BYOK custom model provider is not forwarded to remote (WSL) se...
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Evaluación
- Dificultad
- 4/5
- Tiempo estimado
- 3-5 días
- Aptitud para principiantes
- 45/100
- Tipo de issue
- Error
- Claridad
- Bastante claro
- Estado de actividad
- Activo
- Stack tecnológico
- github, linux, ubuntu
- Área
- desktop, distributed-systems
Línea de trabajo
Start by tracing remote session creation and the existing LlmInferenceSetProvider and ProviderTokenAcquire RPCs described in the report. Compare provider handling for local and WSL sessions; done means the configured BYOK provider and models are available remotely without falling back to GitHub models.
Escrito por el modelo de indexación a partir del texto del issue.
Descripción
Desktop app: BYOK custom model provider is not forwarded to remote (WSL) sessions — BYOK models unavailable, requests fall back to GitHub models
Environment
- GitHub Copilot desktop app 1.1.22 on Windows 11
- WSL2 (Ubuntu),
.wslconfigwithnetworkingMode=mirrored - BYOK provider configured in app settings: OpenAI-compatible endpoint (
https://ollama.com/v1), wire APIresponses, with models such askimi-k3andGLM-5.3 - Windows-side CLI 1.0.84-5; remote CLI in WSL at
~/.cache/github-copilot-sdk/cli/1.0.79(binary reports 1.0.86); copilotd 0.7.3 - Projects whose path lives inside the WSL filesystem run as remote sessions (via copilotd on the WSL side)
What happens
- Sessions on Windows-path projects: BYOK models are selectable and work correctly.
- Sessions on WSL-path projects (remote sessions): BYOK models are not available. The remote CLI log shows:
Model 'GLM-5.3' from CLI argument/session ... not available. Falling back to next option.
and requests are served by GitHub's model routing instead of the configured provider.
Repro
- In the app, add a custom model provider (BYOK) and add models to it.
- Add a project whose repository is inside the WSL filesystem.
- Create a session on that project and observe the fallback (or inability to select the BYOK model).
Evidence that the gap is provider-registry forwarding
- The remote copilotd/CLI processes do receive the full
COPILOT_PROVIDER_*environment variable set (verified via/proc/<pid>/environ), but the server-mode CLI ignores env-var BYOK — in server mode the provider is controlled by the host over RPC, so the env vars are inert there. - Running the same CLI directly in a WSL terminal with the same env vars works perfectly (verified even with
COPILOT_HOMEisolated and no GitHub auth) — so the endpoint, credentials, and network path are all fine. - copilotd 0.7.3 already ships the remote BYOK plumbing:
LlmInferenceSetProvider,ProviderTokenAcquire(providerName,accessToken,expiresIn,tokenType),LlmInferenceHttpRequestStart/Chunk— so an RPC path for forwarding providers exists. - The app binary contains the flow strings ("provider registry attached to new session", "re-applying provider registry on session resume"), but no provider-registry activity appears in app logs when a remote session is created.
Conclusion: when creating a remote session, the app passes the model name (e.g. GLM-5.3) but does not attach/forward the provider registry, so the remote CLI has no provider for those model IDs and falls back to GitHub models.
Expected behavior
The BYOK provider and its models should be forwarded to remote sessions via the existing SetProvider/ProviderTokenAcquire RPCs, so remote (WSL) sessions can use BYOK models just like local sessions.
Additional observations (possibly related)
- Every remote session creation logs
skills.discover: Invalid working directory(customization discovery failure). - After an app restart, remote sessions fail to resume:
resume_sessionreports "session not found".
| Field | Value |
|---|---|
| App version | 1.1.22 |
| OS | Windows 10.0.26340 |
| Theme | GitHub |
| Path | /chat |
| Tenure | Week 5 |
- Lenguaje dominante
- Sin datos de lenguaje
- Estrellas
- 2.1k
- Forks
- 157
- Métricas de merge de PR
- Sin PR fusionados en 30 d
Guía de contribución
Primeros pasos
- Lee el issue completo y luego la guía de contribución del proyecto.
- Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
- Haz un fork del repositorio y trabaja en una rama.
- Abre un pull request que haga referencia al número del issue.
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