- Open Manage Language Models → Add Models → Custom Endpoint.
- Enter the Planck credential in the API-key prompt, using VS Code secret storage.
- Merge Planck’s generated model configuration into
chatLanguageModels.json. Keep the${input:planckApiKey}reference rather than putting a raw key in JSON. - Use the generated full endpoint URL and API type. The configuration includes model limits, tool support, bearer authentication, and a temporary setup header.
- Select the model in Chat, start a new conversation, and send the displayed test prompt.
- Wait for Planck to show the matched completed request. Remove the setup header after verification, preserving authentication and model settings.
Frameworks
VS Code Chat
Connect VS Code built-in Chat to a qualified Planck model.
In Planck, open Connect your coding tools, select VS Code Chat, and choose
an available qualified model. VS Code is the editor; Codex and Claude extensions
have separate setup instructions.