/**
 * LLM polishing module — OpenAI-compatible chat completions.
 *
 * Ported from src-tauri/src/llm/openai.rs
 *
 * Supports any OpenAI-compatible provider — endpoint is fully specified by the
 * caller, nothing is hard-coded here.
 *
 * Common base URLs:
 *   OpenAI      → https://api.openai.com/v1
 *   DeepSeek    → https://api.deepseek.com
 *   Groq        → https://api.groq.com/openai/v1
 *   Gemini      → https://generativelanguage.googleapis.com/v1beta/openai
 *   Ollama      → http://localhost:11434/v1
 *   OpenRouter  → https://openrouter.ai/api/v1
 *   GLM         → https://open.bigmodel.cn/api/paas/v4
 *   SiliconFlow → https://api.siliconflow.cn/v1
 *
 * Features:
 *   - Custom vocabulary injection into system prompt
 *   - Streaming mode via onChunk callback
 *   - GLM thinking-mode handling (reasoning_content fallback)
 *   - Translation support
 *
 * Requires Node.js >= 18 (native fetch).
 */
import { type BuildPromptOptions } from "./prompt.js";
export type { AppType } from "./prompt.js";
export interface LlmConfig {
    /** OpenAI-compatible API base URL (e.g. 'https://api.openai.com/v1') */
    baseUrl: string;
    /** Provider API key */
    apiKey: string;
    /** Model name (e.g. 'gpt-4o', 'deepseek-chat', 'glm-4-flash') */
    model: string;
    /** Maximum tokens to generate. Default: 4096 */
    maxTokens?: number;
    /**
     * Sampling temperature (0–2). Default: 0.1
     *
     * Kept low by default because polishing is a deterministic cleanup task —
     * the model should not "create" content, only reformat what was spoken.
     */
    temperature?: number;
    /** Request timeout in milliseconds. Default: 60_000 */
    timeoutMs?: number;
}
export interface PolishOptions extends BuildPromptOptions {
    /**
     * Called with each streamed token chunk.
     * When provided, the request runs in streaming mode (SSE).
     */
    onChunk?: (chunk: string) => void;
}
/**
 * Polish raw transcript text using an OpenAI-compatible LLM.
 *
 * @param rawText  - Raw transcript from STT
 * @param config   - LLM provider configuration
 * @param options  - Polishing options (vocabulary, translation, streaming, etc.)
 * @returns Polished text
 *
 * @example
 * // Non-streaming
 * const polished = await polishText(transcript, {
 *   provider: 'openai',
 *   apiKey: process.env.OPENAI_API_KEY!,
 *   model: 'gpt-4o-mini',
 * }, {
 *   vocabulary: ['Tauri'],
 *   appType: 'chat',
 * });
 *
 * @example
 * // Streaming
 * const polished = await polishText(transcript, config, {
 *   onChunk: (chunk) => process.stdout.write(chunk),
 * });
 */
export declare function polishText(rawText: string, config: LlmConfig, options?: PolishOptions): Promise<string>;
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