45 lines
1.8 KiB
TypeScript
45 lines
1.8 KiB
TypeScript
export const type = "cursor";
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export const label = "Cursor CLI (local)";
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export const DEFAULT_CURSOR_LOCAL_MODEL = "gpt-5";
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export const models = [
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{ id: DEFAULT_CURSOR_LOCAL_MODEL, label: DEFAULT_CURSOR_LOCAL_MODEL },
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{ id: "gpt-5-mini", label: "gpt-5-mini" },
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{ id: "sonnet-4", label: "sonnet-4" },
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{ id: "sonnet-4-thinking", label: "sonnet-4-thinking" },
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];
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export const agentConfigurationDoc = `# cursor agent configuration
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Adapter: cursor
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Use when:
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- You want Paperclip to run Cursor Agent CLI locally as the agent runtime
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- You want Cursor chat session resume across heartbeats via --resume
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- You want structured stream output in run logs via --output-format stream-json
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Don't use when:
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- You need webhook-style external invocation (use openclaw or http)
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- You only need one-shot shell commands (use process)
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- Cursor Agent CLI is not installed on the machine
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Core fields:
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- cwd (string, optional): default absolute working directory fallback for the agent process (created if missing when possible)
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- instructionsFilePath (string, optional): absolute path to a markdown instructions file prepended to the run prompt
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- promptTemplate (string, optional): run prompt template
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- model (string, optional): Cursor model id (for example gpt-5)
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- mode (string, optional): Cursor execution mode passed as --mode (plan|ask)
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- command (string, optional): defaults to "agent"
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- extraArgs (string[], optional): additional CLI args
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- env (object, optional): KEY=VALUE environment variables
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Operational fields:
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- timeoutSec (number, optional): run timeout in seconds
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- graceSec (number, optional): SIGTERM grace period in seconds
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Notes:
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- Runs are executed with: agent -p --output-format stream-json ...
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- Prompts are passed as a final positional argument.
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- Sessions are resumed with --resume when stored session cwd matches current cwd.
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`;
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