/**
 * OpenAI Chat Completions + Responses API transformer for the GPT-5 family.
 * Separate from the Anthropic path: no cache-control breakpoints,
 * images as image_url/input_image parts, system/developer messages in messages[]/input[].
 * OpenAI tools keep native names/descriptions/schema shape; verbose schema prose
 * is also rendered into images for token savings so calls do not depend only on OCR.
 */
import { type GptVisionCost } from './gpt-model-profiles.js';
import { type TransformInfo, type TransformOptions } from './transform.js';
type VisionCost = GptVisionCost;
export declare function resolveVisionCost(model: string): VisionCost;
export declare const HISTORY_TRANSCRIPT_INTRO = "[Earlier turns of THIS conversation, transcribed in the image(s) below. Each turn is wrapped in <user t=\"N\">...</user> or <assistant t=\"N\">...</assistant> tags, where N is an absolute turn index (larger N = more recent); attribute every turn strictly by its tag, and treat the highest-N turns as the most recent prior context, NOT the low-N opening turns. Earlier turns may contain questions or tasks that were already answered later in this same history; do not reopen low-N turns unless the live text after this block asks you to. For exact identifiers, hashes, version strings, and numbers from the transcript, rely on the exact-value factsheet or re-read the source; do not guess an exact value seen only in the image. This is prior context, NOT the current request.]";
export declare const HISTORY_TRANSCRIPT_OUTRO = "[End of earlier conversation. The current request is the live text that follows below.]";
export declare const COMPACT_HISTORY_TRANSCRIPT_INTRO = "[Earlier turns in image(s): follow <user t=N>/<assistant t=N> tags in increasing N. Prior context\u2014not the current request.]";
export declare const COMPACT_HISTORY_TRANSCRIPT_OUTRO = "[End earlier conversation.]";
/** Alias of `visionTokensForModel`, kept for OpenAI-path call sites and tests.
 *  There is no separate OpenAI formula: the model's profile carries its regime. */
export declare function openAIVisionTokens(model: string, w: number, h: number): number;
/** True when this Responses/Chat request is actually served by a Claude model.
 *  Codex-style clients speak OpenAI Responses while some models are Anthropic,
 *  so routing must agree with pricing: this re-exports the SAME predicate the
 *  profile table uses to route an id to the Anthropic profile. A second, subtly
 *  different copy here would route a request one way and price it the other. */
export { isClaudeModel } from './claude-model-profiles.js';
/** Per-image vision-token cost for the model actually serving the request.
 *  Model-based, not endpoint-based, and family-agnostic: the profile's `vision`
 *  regime decides the formula (Anthropic patches, OpenAI tiles/patches, Grok
 *  pixels, Gemini flat), so no provider branch is needed here. This is the exact
 *  provider cost; the gate applies its own margin separately. */
export declare function visionTokensForModel(model: string, w: number, h: number): number;
export declare function prepareImagedRenderText(text: string, reflowEnabled: boolean): string;
/** Render schema annotations removed from the native tool definition. The full
 * top-level description rides in the same image and is replaced by a short
 * per-tool pointer, matching the Anthropic tool-reference approach. */
export declare function schemaAnnotationLines(node: unknown, path?: string, depth?: number): string[];
export declare function droppedCodepointsTop(droppedCodepoints: Map<number, number>): Record<string, number> | undefined;
export declare const CHAT_HEADER: string;
export declare const RESPONSES_HEADER: string;
export declare function transformOpenAIChatCompletions(body: Uint8Array, opts?: TransformOptions): Promise<{
    body: Uint8Array;
    info: TransformInfo;
}>;
export declare function transformOpenAIResponses(body: Uint8Array, opts?: TransformOptions): Promise<{
    body: Uint8Array;
    info: TransformInfo;
}>;
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