Enterprise custom models with slash in the provider model ID can't be selected from /model picker (ID is served URL-encoded as %2F)
まだ誰も着手していません。
評価
- 難易度
- 3/5
- 見積もり時間
- 1〜2日
- 初心者へのやさしさ
- 65/100
- issue の種類
- バグ
- 明瞭さ
- 明確に書かれている
- 活発さ
- 活発
- 技術スタック
- cli, shell
調査の方向性
Look at the CLI's model picker and model selection logic, likely in files handling the /model command and model catalog parsing. The issue is about matching IDs: the picker receives a URL-encoded ID from the API but may be decoding it before comparison. Start by searching for where model IDs are compared or displayed. Check how the --model flag validation works. The fix involves ensuring the ID used for lookup matches the encoded form from the API. Test by adding a custom model with a slash in its provider ID and verifying the picker can select it.
索引モデルが issue の本文から書いたものです。
説明
Describe the bug
Custom models whose provider-side model ID contains a slash (e.g. deepseek/deepseek-v4.1-flash, z-ai/glm-5.3) appear in the /model picker but cannot be selected, trying to choose one leaves the previous model active. The picker also shows "-" for Context and Reasoning on these entries even though the /models API response includes capabilities.limits.
The CAPI /models response serves the ID with the slash URL-encoded:
"id": "myorg/OpenRouter/deepseek%2Fdeepseek-v4.1-flash",
"custom_model": {"key_name":"OpenRouter","owner_name":"myorg","owner_type":"enterprise","provider":"openaicompatible"},
"supported_endpoints": ["/responses"],
"capabilities": {"limits": {"max_context_window_tokens":1048576,"max_output_tokens":384000,"max_prompt_tokens":664576}, "supports": {"streaming":true,"tool_calls":true}}
Passing the decoded form fails:
copilot --model "myorg/OpenRouter/deepseek/deepseek-v4.1-flash"
✗ Model "myorg/OpenRouter/deepseek/deepseek-v4.1-flash" from --model flag is not available. Using "claude-sonnet-5" instead.
Passing the encoded form works and the model runs fine:
copilot --model "myorg/OpenRouter/deepseek%2Fdeepseek-v4.1-flash"
So the model itself is usable; only the picker's selection/lookup path is broken. It looks like the picker decodes the ID (or constructs one from the display name/path) and then fails to match it against the encoded ID in the catalogue.
Note on the ID format: we do not control this ID. The Github enterprise UI only takes the provider's model name (deepseek/deepseek-v4.1-flash); the myorg/OpenRouter/…%2F… composite ID is generated GitHub-side. OpenRouter model names all contain a /, so every OpenRouter-backed custom model is affected. The fix has to be in the CLI's ID handling (or in how the ID is generated), not in configuration.
Affected version
Copilot CLI v1.0.87 (Linux)
Steps to reproduce the behavior
- In Github enterprise settings, add an OpenAI-compatible API key (OpenRouter base URL) and add model
deepseek/deepseek-v4.1-flash, enable it and grant org access. copilot logout && copilot login, run/model.- Observe the model listed with no values for for Context/Reasoning; try to select it and nothing happens.
copilot --model "<enterprise>/<key>/deepseek%2Fdeepseek-v4.1-flash"works.
Expected behavior
Custom models are selectable from /model, show their configured context/reasoning, and --model accepts the ID in the same form the picker displays.
Additional context
Workaround: launch copilot with the URL-encoded ID via --model or set it with /config model.
- 主要言語
- Shell
- スター
- 11.2k
- フォーク
- 1.9k
- 平均マージ
- 14時間 16分
- マージ済み PR(30日)
- 6
コントリビューションガイド
はじめの一歩
- issue を最後まで読み、次にプロジェクトのコントリビューションガイドを読みます。
- 着手することを issue にコメントします — 二人が同じ作業をするのを防げます。
- リポジトリをフォークし、ブランチを切って変更します。
- issue 番号を参照したプルリクエストを送ります。
github/copilot-cli のほかの issue
-
triage
難易度 2/5 1〜3時間 初心者へのやさしさ 75/100
github/copilot-cli#4932 ·
-
triage
難易度 2/5 1〜3時間 初心者へのやさしさ 78/100
github/copilot-cli#4909 ·
-
triage
難易度 2/5 1〜3時間 初心者へのやさしさ 76/100
github/copilot-cli#4906 ·
-
triage
難易度 2/5 1〜3時間 初心者へのやさしさ 72/100
github/copilot-cli#4848 ·
-
area:agents area:mcp
難易度 2/5 1〜3時間 初心者へのやさしさ 72/100
github/copilot-cli#4729 ·
github/copilot-cli の issue をすべて見る
似ている issue
-
Bob Shell support オープンenhancement
難易度 2/5 1〜3時間 初心者へのやさしさ 65/100
-
tooling
難易度 2/5 1〜3時間 初心者へのやさしさ 75/100
-
難易度 2/5 1〜3時間 初心者へのやさしさ 70/100
openSUSE/python-rpm-macros#219 ·
-
難易度 2/5 1〜3時間 初心者へのやさしさ 70/100
YunoHost-Apps/adguardhome_ynh#258 ·
-
steam-short-session-tracker: incorrect registry backup path resets settings during automatic repair オープン
難易度 2/5 1〜3時間 初心者へのやさしさ 80/100
ValveSoftware/SteamOS#2829 ·