import type { ChatStopReason, StreamDelta } from './interface.js';
import type { OpenAIToolCall } from './tool-formats.js';
import { fromOpenAIToolCalls } from './tool-formats.js';
/** Accumulated state for one streaming tool-call slot. */
export interface OpenAIToolCallSlot {
    id: string;
    name: string;
    args: string;
}
/** Usage fields found on OpenAI streaming chunks. */
export interface OpenAIChunkUsage {
    prompt_tokens?: number | undefined;
    completion_tokens?: number | undefined;
    prompt_tokens_details?: {
        cached_tokens?: number;
    } | undefined;
}
/**
 * Update the tool-call accumulator map with one streaming tool_call delta.
 * Fires onDelta if provided.
 */
export declare function accumOpenAIToolCall(acc: Map<number, OpenAIToolCallSlot>, tc: {
    index: number;
    id?: string | undefined;
    function?: {
        name?: string | undefined;
        arguments?: string | undefined;
    } | undefined;
}, onDelta: ((delta: StreamDelta) => void) | undefined): void;
/**
 * Finalise accumulated tool-call slots into the raw OpenAI wire format,
 * sorted by stream index.
 */
export declare function finalizeOpenAIToolCalls(acc: Map<number, OpenAIToolCallSlot>): OpenAIToolCall[];
/**
 * Apply token counts from a streaming chunk's usage field.
 * Absent fields keep the value from current (so initial 0 stays 0
 * if the provider never sends those fields).
 */
export declare function applyOpenAIChunkUsage(usage: OpenAIChunkUsage | null | undefined, current: {
    inputTokens: number;
    outputTokens: number;
    cacheReadTokens: number;
}): {
    inputTokens: number;
    outputTokens: number;
    cacheReadTokens: number;
};
/**
 * Convert finalized raw tool-calls to canonical form and apply the text-based
 * tool-call fallback for models that emit tool calls as raw text tokens.
 *
 * Returns the final toolCalls list plus (possibly mutated) response text,
 * stop reason, and raw stop reason.
 */
export declare function resolveOpenAIToolCallsAndFallback(rawToolCalls: OpenAIToolCall[], responseText: string, stopReason: ChatStopReason, rawStopReason: string | undefined): {
    toolCalls: ReturnType<typeof fromOpenAIToolCalls>;
    responseText: string;
    stopReason: ChatStopReason;
    rawStopReason: string | undefined;
};
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