/**
 * QA360 AI Module - LLM Providers
 *
 * Multi-provider AI integration for test generation and analysis.
 * Supports DeepSeek (best value), Ollama (local), OpenAI, Anthropic, and Mock providers.
 *
 * Default behavior: Automatically selects the first available provider
 * using the factory pattern. DeepSeek is preferred for best value/cost ratio.
 */
export { OllamaProvider, createOllamaProvider, checkOllamaSetup, type OllamaConfig } from './ollama-provider.js';
export { OpenAIProvider, createOpenAIProvider, checkOpenAISetup, type OpenAIConfig, OpenAIError } from './openai-provider.js';
export { AnthropicProvider, createAnthropicProvider, checkAnthropicSetup, type AnthropicConfig, AnthropicError } from './anthropic-provider.js';
export { DeepSeekProvider, createDeepSeekProvider, checkDeepSeekSetup, getDeepSeekSetupInstructions, type DeepSeekConfig, DeepSeekError } from './deepseek-provider.js';
export { MockProvider, createMockProvider, createStandardMockProvider, MOCK_RESPONSES, type MockProviderConfig } from './mock-provider.js';
export { FallbackProvider, createLLMProvider, createBest, createResilientLLMProvider, getProviderStatus, getProviderInfo, detectBestProvider, hasAnyProvider, type ProviderFactoryConfig, type ProviderType, type ProviderSelection, type ProviderInfo, PROVIDER_CHAIN, } from './provider-factory.js';
/**
 * Base interface for LLM providers
 */
export interface LLMProvider {
    name: string;
    models: string[];
    generate(request: GenerationRequest): Promise<GenerationResponse>;
    /**
     * Streamed generation (optional)
     */
    stream?(request: GenerationRequest): AsyncIterable<string>;
    /**
     * Count tokens in text (approximate)
     */
    countTokens(text: string): number;
    /**
     * Check if provider is available
     */
    isAvailable(): Promise<boolean>;
}
/**
 * Request for LLM generation
 */
export interface GenerationRequest {
    prompt: string;
    systemPrompt?: string;
    maxTokens?: number;
    temperature?: number;
    jsonMode?: boolean;
}
/**
 * Response from LLM
 */
export interface GenerationResponse {
    content: string;
    usage: {
        promptTokens: number;
        completionTokens: number;
        totalTokens: number;
    };
    model: string;
    finishReason: 'stop' | 'length' | 'content_filter';
}
export type { ModelInfo, PullProgress } from './ollama-provider.js';
export { OllamaError } from './ollama-provider.js';