import type { Usage } from "@kenkaiiii/gg-ai";
/**
 * Director-Executor mode — two-agent architecture for long sessions.
 *
 * Director plans at a high level; for each step it `delegate`s to a fresh
 * Executor that has full tool access. Executor returns a structured summary
 * which is the ONLY thing that enters director context.
 *
 * Win: a 100-tool-call edit session collapses to ~5 director turns each
 * seeing ~50-token summaries instead of accumulated raw tool I/O.
 */
export interface ExecutorResult {
    /** Final summary the executor produced (last assistant message, trimmed). */
    summary: string;
    /** How many turns the executor took. */
    turns: number;
    /** Token usage. */
    usage: Usage;
    /** Tool call count + names — the director uses this to verify expectations. */
    toolCalls: Array<{
        name: string;
        isError: boolean;
    }>;
}
export interface DirectorConfig {
    /** Provider for both agents. */
    provider: "anthropic" | "openai" | "glm" | "moonshot";
    /** Model for both agents (executor can override via tool param). */
    model: string;
    apiKey?: string;
    /** Max executor turns per delegated task. Default 30. */
    maxExecutorTurns?: number;
    /** Hard cap on total delegated tasks per director session. Default 20. */
    maxDelegations?: number;
    /** Propagate dry-run to all executor tool factories. */
    dryRun?: boolean;
}
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