@phren/cli
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Knowledge layer for AI agents - CLI, MCP server, and data layer
32 lines (31 loc) • 1.44 kB
TypeScript
import { type FanoutManifest } from "../bridge/fanouts.js";
import { type LaunchOptions, type Provider } from "./adapters/types.js";
export declare const adapters: {
codex: import("./adapters/types.js").Adapter;
opencode: import("./adapters/types.js").Adapter;
claude: import("./adapters/types.js").Adapter;
};
export interface JobOptions extends Omit<LaunchOptions, "job"> {
store: string;
provider: Provider;
label: string;
reason: string;
prompt: string;
}
export declare function jobsRoot(store: string): string;
export declare function readJob(store: string, id: string): FanoutManifest;
export declare function listJobs(store: string): FanoutManifest[];
export declare function swiftBuildCount(): number;
/** The nearest codex or claude process above this one. Each agent sets its
* own id for the commands it runs and inherits the other's, so a Claude
* started from Codex has both; the process tree says which one launched. */
export declare function nearestAgent(pid?: number): "codex" | "claude" | undefined;
export declare function writeManifest(job: string, manifest: FanoutManifest): void;
export declare function createJob(options: JobOptions, env?: NodeJS.ProcessEnv, nearest?: typeof nearestAgent): {
job: string;
manifest: FanoutManifest;
};
export declare function launch(options: JobOptions, reservation?: {
job: string;
manifest: FanoutManifest;
}): Promise<number>;