import type { CancellationToken, ChatResponsePart, LanguageModelChat, LanguageModelChatMessage, Progress } from 'vscode';
import { PromptElementJSON } from './jsonTypes';
import { ModeToChatMessageType, OutputMode } from './output/mode';
import { MetadataMap } from './promptRenderer';
import { PromptReference } from './results';
import { ITokenizer } from './tokenizer/tokenizer';
import { BasePromptElementProps, IChatEndpointInfo, PromptElementCtor } from './types';
import { ChatDocumentContext } from './vscodeTypes.d';
export * from './htmlTracer';
export * as JSONTree from './jsonTypes';
export * from './output/mode';
export * from './promptElements';
export * from './results';
export { ITokenizer } from './tokenizer/tokenizer';
export * from './tracer';
export * from './tsx-globals';
export * from './types';
export { PromptElement } from './promptElement';
export { MetadataMap, PromptRenderer, QueueItem, RenderPromptResult } from './promptRenderer';
/**
 * Renders a prompt element and returns the result.
 *
 * @template P - The type of the prompt element props.
 * @param ctor - The constructor of the prompt element.
 * @param props - The props for the prompt element.
 * @param endpoint - The chat endpoint information.
 * @param progress - The progress object for reporting progress of the chat response.
 * @param token - The cancellation token for cancelling the operation.
 * @param tokenizer - The tokenizer for tokenizing the chat response.
 * @param mode - The mode to render the chat messages in.
 * @returns A promise that resolves to an object containing the rendered {@link LanguageModelChatMessage chat messages}, token count, metadatas, used context, and references.
 */
export declare function renderPrompt<P extends BasePromptElementProps>(ctor: PromptElementCtor<P, any>, props: P, endpoint: IChatEndpointInfo, tokenizerMetadata: ITokenizer<OutputMode.VSCode> | LanguageModelChat, progress?: Progress<ChatResponsePart>, token?: CancellationToken, mode?: OutputMode.VSCode): Promise<{
    messages: LanguageModelChatMessage[];
    tokenCount: number;
    metadata: MetadataMap;
    usedContext: ChatDocumentContext[];
    references: PromptReference[];
}>;
/**
 * Renders a prompt element and returns the result.
 *
 * @template P - The type of the prompt element props.
 * @param ctor - The constructor of the prompt element.
 * @param props - The props for the prompt element.
 * @param endpoint - The chat endpoint information.
 * @param progress - The progress object for reporting progress of the chat response.
 * @param token - The cancellation token for cancelling the operation.
 * @param tokenizer - The tokenizer for tokenizing the chat response.
 * @param mode - The mode to render the chat messages in.
 * @returns A promise that resolves to an object containing the rendered {@link ChatMessage chat messages}, token count, metadatas, used context, and references.
 */
export declare function renderPrompt<P extends BasePromptElementProps, TMode extends OutputMode>(ctor: PromptElementCtor<P, any>, props: P, endpoint: IChatEndpointInfo, tokenizerMetadata: ITokenizer<TMode>, progress?: Progress<ChatResponsePart>, token?: CancellationToken): Promise<{
    messages: ModeToChatMessageType[TMode][];
    tokenCount: number;
    metadata: MetadataMap;
    usedContext: ChatDocumentContext[];
    references: PromptReference[];
}>;
/**
 * Content type of the return value from {@link renderElementJSON}.
 * When responding to a tool invocation, the tool should set this as the
 * content type in the returned data:
 *
 * ```ts
 * import { contentType } from '@vscode/prompt-tsx';
 *
 * async function doToolInvocation(): vscode.LanguageModelToolResult {
 *   return {
 *     [contentType]: await renderElementJSON(...),
 *     toString: () => '...',
 *   };
 * }
 * ```
 */
export declare const contentType = "application/vnd.codechat.prompt+json.1";
/**
 * Renders a prompt element to a serializable state. This type be returned in
 * tools results and reused in subsequent render calls via the `<Tool />`
 * element.
 *
 * In this mode, message chunks are not pruned from the tree; budget
 * information is used only to hint to the elements how many tokens they should
 * consume when rendered.
 *
 * @template P - The type of the prompt element props.
 * @param ctor - The constructor of the prompt element.
 * @param props - The props for the prompt element.
 * @param budgetInformation - Information about the token budget.
 * `vscode.LanguageModelToolInvocationOptions` is assignable to this object.
 * @param token - The cancellation token for cancelling the operation.
 * @returns A promise that resolves to an object containing the serialized data.
 */
export declare function renderElementJSON<P extends BasePromptElementProps>(ctor: PromptElementCtor<P, any>, props: P, budgetInformation: {
    tokenBudget: number;
    countTokens(text: string, token?: CancellationToken): Thenable<number>;
} | undefined, token?: CancellationToken): Promise<PromptElementJSON>;