import type { LanguageModelV4Message, LanguageModelV4Middleware } from "@ai-sdk/provider";
/**
 * Walk a `LanguageModelV4Prompt` and rewrite every `role:"tool"` message
 * containing image/file parts inside its tool-result `output`s. See the
 * file-level comment for the rewrite shape.
 *
 * Returns the (possibly new) prompt array and a `mutated` flag for
 * test/observation use.
 */
export declare function rewritePromptToolImages(prompt: LanguageModelV4Message[]): {
    prompt: LanguageModelV4Message[];
    mutated: boolean;
};
/**
 * `LanguageModelV4Middleware` that splits image-carrying tool-result
 * messages so chat-completions-style converters don't lose the bytes.
 *
 * Apply via `wrapLanguageModel({ model, middleware: splitToolImagesMiddleware })`
 * in any provider whose downstream converter doesn't natively handle
 * multimodal `role:"tool"` content (currently: `@ai-sdk/openai-compatible`,
 * `@ai-sdk/mistral`).
 *
 * Anthropic's converter natively renders content arrays on tool-result
 * messages and should NOT use this middleware — it would replace
 * structurally-faithful tool-results with the placeholder text + sibling
 * user message pattern unnecessarily.
 */
export declare const splitToolImagesMiddleware: LanguageModelV4Middleware;
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