Hacktoberfest 2026: le issue che i maintainer hanno segnato per ottobre, aperte e adatte ai principianti. Sfoglia le issue Hacktoberfest

Selecting a foreground custom agent leaves the session model unchanged (Windows 1.1.23)

Aperta
#4,097 0 commenti 0 reazioni 0 assegnatari Vedi su GitHub

Nessuno ha ancora preso questa issue.

Valutazione

Difficoltà
4/5
Tempo stimato
3-5 giorni
Idoneità per principianti
55/100
Tipo di issue
Bug
Chiarezza
Abbastanza chiara
Stato di attività
Attiva
Stack tecnologico
github
Ambito
ai, desktop

Direzione di ricerca

Start by reproducing the issue in the GitHub Copilot desktop app with the repository's .github/agents/apex.agent.md profile, checking the model picker before and after selecting APEX. Compare the effective model with standalone Copilot CLI, then determine whether the mismatch is only in the picker or also affects inference; done means the declared model is applied or precedence differences are documented.

Scritto dal modello di indicizzazione a partire dal testo della issue.

Descrizione

Short summary

Selecting a repository custom agent in the desktop app leaves the session model unchanged, despite an explicit
model: in the agent profile. The same coordinator profile switches models in standalone Copilot CLI.

Affected version or release

GitHub Copilot app 1.1.23, verified through Windows installation metadata.

Installation context
  • Windows 11 x64, build 26200.
  • Local repository, Interactive session, repository agents under .github/agents/.
  • Comparison client: standalone Copilot CLI 1.0.86 running in Ubuntu/WSL2.
  • The desktop app's embedded engine version has not been established. This is not an identical-engine comparison.
What happened?

After selecting APEX, the app showed both APEX and GPT-6 Astra / Medium. Sending a short prompt started the
session and returned a response, but the picker still showed Astra. MAI-Code-1.1-Flash was available in the model picker.

Selecting APEX in standalone CLI changed the model to mai-code-1.1-flash. In the desktop app, manually selecting MAI
worked and allowed us to continue testing. We did not need to replace the agent's model setting with Auto.

The observation concerns the session's displayed selection. We have not captured inference telemetry proving whether
the mismatch is limited to the UI or also affects the actual model request.

Steps to reproduce

Our installed .github/agents/apex.agent.md begins with:

---
name: APEX
description: Fast coordinator for APEX status, resume, and direct specialist handoff.
target: github-copilot
model: mai-code-1.1-flash
user-invocable: true
disable-model-invocation: true
tools:
  - ask_user
  - apex/status
  - apex/nextTask
  - apex/projectCreate
  - apex/projectList
  - apex/projectUse
  - apex/projectDelete
  - apex/gateDecide
---

This is the tested profile excerpt, not a separately verified minimal reproduction; its body contains APEX workflow
instructions and its project has an APEX MCP server.

  1. Open the repository in the desktop app and start an existing local repository session in Interactive mode.
  2. With GPT-6 Astra selected, select APEX using /agent or the agent picker.
  3. Check the model picker before and after a short prompt such as test.
  4. Observe that APEX is selected but the model picker remains on Astra.
  5. In standalone CLI, select APEX with the same coordinator declaration and observe the switch to MAI.

We initially encountered a separate missing-agent error in a new worktree. The model-selection observation above
persisted after creating a working local-repository session; this report is not about that startup error.

Expected behavior

Selecting a custom agent should apply its declared model when available, or clearly explain that an explicit session
selection takes precedence. The picker should show the effective model. If desktop and CLI intentionally use different
precedence rules, please document those differences.

Additional context
Lingua principale
Nessun dato sulla lingua
Stelle
2.1k
Fork
157
Metriche di merge delle PR
Nessuna PR unita negli ultimi 30g

Guida per i contributori

Apri la guida per i contributori

Come iniziare

  1. Leggi tutta la issue e poi la guida ai contributi del progetto.
  2. Commenta sulla issue per dire che te ne occupi tu — evita che due persone facciano lo stesso lavoro.
  3. Fai un fork del repository e lavora su un branch.
  4. Apri una pull request che faccia riferimento al numero della issue.

Altre issue di github/app

Tutte le issue di github/app

Issue simili

Altre issue su AI Infra & Agents

Ricevi le nuove issue nella tua casella

Un breve riepilogo di issue GitHub adatte ai principianti.