/**
 * Pre-flight graph context injection — token budget constants and enforcement.
 *
 * Token counting uses Math.ceil(text.length / 4) as a conservative estimate.
 * Anthropic models average ~3.5–4.0 chars/token for English markdown.
 * Over-estimation is intentional — the cap is firm.
 *
 * TODO(phase-2): swap estimateTokens() to tiktoken when the dep is approved.
 */
/**
 * Default token budgets for pre-flight graph context injection (ADR-9).
 * These match the defaults in GraphPreflightBudgetsSchema in schema.ts.
 * Runtime code reads budgets from config.graph.preflightBudgets; these
 * constants exist for reference and testing.
 */
export declare const DEFAULT_PREFLIGHT_BUDGETS: {
    readonly architect: 4000;
    readonly curator: 2000;
    readonly generator: 1000;
    readonly evaluator: 1500;
    readonly "researcher-phase2": 3000;
};
/**
 * Estimate token count for a string.
 *
 * Uses a conservative chars/4 heuristic. Anthropic models average ~3.5–4.0
 * chars per token for English markdown. Over-estimation is intentional: the
 * pre-flight budget cap is hard, so rounding up prevents silent overruns.
 *
 * TODO(phase-2): replace chars/4 with tiktoken when available.
 */
export declare function estimateTokens(text: string): number;
/**
 * Enforce a token budget on a markdown string composed of `### Section` blocks.
 *
 * Algorithm:
 * 1. If under budget, return unchanged.
 * 2. Split on `\n### ` boundaries (whole-section granularity).
 * 3. Drop sections from the END until under budget.
 * 4. Append `[truncated due to budget — N more results omitted]` marker.
 * 5. Hard-cap fallback: if even header + first section exceeds budget,
 *    truncate by character count.
 *
 * @param markdown Full formatted markdown string.
 * @param budget   Token budget (positive integer).
 * @returns Object with the capped output string and the number of sections dropped.
 */
export declare function enforceBudget(markdown: string, budget: number): {
    out: string;
    dropped: number;
};
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