GMAT Copilot for VS Code

Draft GMAT mission scripts from a natural-language description, review the result as a diff, and apply it to the active file — with lint (and the optional gmat-run dry-run) findings surfaced inline in the Problems panel.

This extension is a thin client over the gmat-copilot engine. It contributes generation commands only; the .script language itself — syntax highlighting, lint-on-type, hover, formatting — comes from the GMAT Script extension. Install both for the full experience.

Requirements

• Python with gmat-copilot installed (pip install gmat-copilot), plus the provider extra for whichever model you use (gmat-copilot[anthropic], [openai], [ollama]; GitHub Models needs none). Point gmatCopilot.server.pythonPath at that environment, or put gmat-copilot-worker on your PATH.
• A provider credential in that environment (e.g. ANTHROPIC_API_KEY, OPENAI_API_KEY, GH_TOKEN, or a running Ollama). Credentials are read by the worker process — never stored in settings.
• The dry-run toggle additionally needs the [gmat] extra and a discoverable GMAT install.

Commands

• GMAT Copilot: Draft a Mission from a Description… — type a prompt, review the generated script as a diff against the active file, and apply it on accept.
• GMAT Copilot: Draft a Mission from the Selection — use the selected text (e.g. a comment describing the mission) as the prompt.
• GMAT Copilot: Re-validate the Active Script — lint the current buffer on demand.
• GMAT Copilot: Select the Provider and Model… — pick from the providers your credentials can reach. There is no default model: selection is always explicit.

Generation never overwrites your file silently — a draft is shown as a reviewable diff and applied only when you accept it. In strict mode a draft that does not lint clean is not applied; its diagnostics explain why.

Settings

License

MIT — see LICENSE.