/**
 * Copyright 2025 Vybestack LLC
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
import { type IContent } from '../../services/history/IContent.js';
import { type IProviderConfig } from '../types/IProviderConfig.js';
import { BaseProvider, type NormalizedGenerateChatOptions } from '../BaseProvider.js';
import { type OAuthManager } from '../../auth/precedence.js';
import { type IModel } from '../IModel.js';
import { type IProvider } from '../IProvider.js';
/**
 * Vercel OpenAI-based provider using AI SDK v5.
 *
 * NOTE:
 * - No dependency on the official `openai` SDK.
 * - Uses `openai.chat(modelId)` to talk to the Chat Completions API.
 * - Tools are configured via AI SDK `tool()` with JSON schema input.
 */
export declare class OpenAIVercelProvider extends BaseProvider implements IProvider {
    private getLogger;
    /**
     * @plan:PLAN-20251023-STATELESS-HARDENING.P08
     * @requirement:REQ-SP4-003
     * Constructor reduced to minimal initialization - no state captured.
     */
    constructor(apiKey: string | undefined, baseURL?: string, config?: IProviderConfig, oauthManager?: OAuthManager);
    protected supportsOAuth(): boolean;
    /**
     * Create an OpenAI provider instance for this call using AI SDK v5.
     *
     * Uses the resolved runtime auth token and baseURL, and still allows
     * local endpoints without authentication (for Ollama-style servers).
     *
     * @param options - Normalized generate chat options
     * @param customFetch - Optional custom fetch function for intercepting responses
     */
    private createOpenAIClient;
    /**
     * Extract model parameters from normalized options instead of settings service.
     * This mirrors OpenAIProvider but feeds AI SDK call options instead.
     */
    private extractModelParamsFromOptions;
    private getAiJsonSchema;
    private getAiTool;
    /**
     * Normalize tool IDs from various formats to OpenAI-style format.
     * Kept for compatibility with existing history/tool logic.
     */
    /**
     * Convert internal history IContent[] to AI SDK ModelMessage[].
     *
     * This implementation uses textual tool replay for past tool calls/results.
     * New tool calls in the current response still use structured ToolCallBlocks.
     *
     * For Kimi K2 models, uses ToolIdStrategy to generate proper tool IDs
     * in the format functions.{name}:{index} instead of call_xxx.
     */
    private convertToModelMessages;
    /**
     * Build an AI SDK ToolSet from already-normalized OpenAI-style tool definitions.
     *
     * Input is the array produced by convertToolsToOpenAIVercel().
     */
    private buildVercelTools;
    private mapUsageToMetadata;
    /**
     * Extract thinking content from <think>, <thinking>, or <analysis> tags
     * and return it as a ThinkingBlock. Returns null if no thinking tags found.
     *
     * This must be called BEFORE sanitizeText which strips these tags.
     *
     * Handles two formats:
     * 1. Standard: <think>Full thinking paragraph here...</think>
     * 2. Fragmented (Synthetic API): <think>word</think><think>word</think>...
     *
     * For fragmented format, joins with spaces. For standard, joins with newlines.
     */
    /**
     * Core chat completion implementation using AI SDK v5.
     *
     * This replaces the original OpenAI SDK v5 client usage with:
     *   - createOpenAI({ apiKey, baseURL })
     *   - openai.chat(modelId)
     *   - generateText / streamText
     */
    protected generateChatCompletionWithOptions(options: NormalizedGenerateChatOptions): AsyncIterableIterator<IContent>;
    /**
     * Models listing – uses HTTP GET /models via fetch instead of the OpenAI SDK.
     * Falls back to a small static list if the request fails.
     */
    getModels(): Promise<IModel[]>;
    private getFallbackModels;
    getDefaultModel(): string;
    getCurrentModel(): string;
    clearClientCache(runtimeKey?: string): void;
    clearState(): void;
    getServerTools(): string[];
    invokeServerTool(toolName: string, _params: unknown, _config?: unknown, _signal?: AbortSignal): Promise<unknown>;
    getToolFormat(): string;
    /**
     * Detects the tool call format based on the model being used.
     * Mirrors OpenAIProvider behavior so existing ToolFormatter logic works.
     */
    parseToolResponse(response: unknown): unknown;
    /**
     * Disallow memoization of model params to preserve stateless behavior.
     */
    setModelParams(_params: Record<string, unknown> | undefined): void;
    /**
     * Gets model parameters from SettingsService per call (stateless).
     * @plan PLAN-20260126-SETTINGS-SEPARATION.P09
     * Now uses invocation.modelParams instead of filtering SettingsService
     */
    getModelParams(): Record<string, unknown> | undefined;
    /**
     * Determines whether a response should be retried based on error codes.
     *
     * This is retained for compatibility with existing retryWithBackoff
     * callers, even though AI SDK's generateText/streamText have their
     * own built-in retry logic.
     */
    shouldRetryResponse(error: unknown): boolean;
}