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GitHub Copilot Chat in VS Code can bring your own key. Lyceum connects through its Custom Endpoint provider.

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Configure

1

Open the Language Models editor

Run Chat: Manage Language Models from the command palette, or click the gear icon in the chat model picker.
2

Add a custom endpoint

Choose Add Models → Custom Endpoint, and set the API type to Chat Completions.
3

Fill in the fields

4

Pick the model

Select it from the model picker in the Copilot Chat panel.

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Two Lyceum-specific details

Copilot is stricter than most clients, so two things differ from the other pages here.
Use slash-free model IDs. Copilot rejects / in custom model names. Every Lyceum model has a slash-free alias. Replace each / with -:Both forms resolve to the same model; the alias is resolved before any model lookup.
Prefer z-ai-glm-5.2-instant over z-ai-glm-5.2. GLM 5.2 is a reasoning model and returns its trace in the non-standard reasoning_content field. Copilot cannot pass request parameters to turn that off, and it caps max_tokens, so the reasoning can consume the whole output budget and the reply arrives empty. The -instant variant is the same model with thinking disabled, which is what you want here.

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Anthropic mode

Copilot’s Custom Endpoint also speaks the Anthropic Messages API. To use Lyceum that way instead, set the API type to Anthropic Messages API and point it at: See Claude Code for the full list of claude-* model aliases.

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What works with BYOK

Models must support tool calling to appear in the agent-mode picker. All models recommended on these pages do.