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InvalidRequestError extends OpenRouterError {\n constructor(message: string, details?: Record) {\n super(message, 'INVALID_REQUEST', 400, details);\n this.name = 'InvalidRequestError';\n }\n}\n\nexport class NetworkError extends OpenRouterError {\n constructor(\n message: string,\n public originalError?: Error,\n ) {\n super(message, 'NETWORK_ERROR', undefined, { originalError: originalError?.message });\n this.name = 'NetworkError';\n }\n}\n\nexport class TimeoutError extends OpenRouterError {\n constructor(timeout: number) {\n super(`Request timed out after ${timeout}ms`, 'TIMEOUT_ERROR', 408, { timeout });\n this.name = 'TimeoutError';\n }\n}\n\nexport class BudgetExceededError extends OpenRouterError {\n constructor(current: number, limit: number, period: string) {\n super(`Budget exceeded: ${current} / ${limit} (${period})`, 'BUDGET_EXCEEDED', 402, {\n current,\n limit,\n period,\n });\n this.name = 'BudgetExceededError';\n }\n}\n\nexport class ModelSelectionError extends 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(statusCode) {\n case 401:\n case 403:\n return new AuthenticationError(message, details);\n case 404:\n return new ModelNotFoundError(message);\n case 429:\n const retryAfter = body?.error?.metadata?.retry_after;\n return new RateLimitError(message, retryAfter, details);\n case 400:\n return new InvalidRequestError(message, details);\n default:\n return new OpenRouterError(message, 'API_ERROR', statusCode, details);\n }\n}\n","type LogLevel = 'debug' | 'info' | 'warn' | 'error';\n\ninterface LoggerOptions {\n enabled: boolean;\n level: LogLevel;\n prefix?: string;\n}\n\nconst LOG_LEVELS: Record = {\n debug: 0,\n info: 1,\n warn: 2,\n error: 3,\n};\n\nexport class Logger {\n private options: LoggerOptions;\n\n constructor(options: Partial = {}) {\n this.options = {\n enabled: options.enabled ?? true,\n level: options.level ?? 'info',\n prefix: options.prefix ?? '[OpenRouter]',\n };\n }\n\n private shouldLog(level: LogLevel): boolean {\n if (!this.options.enabled) return false;\n return LOG_LEVELS[level] >= LOG_LEVELS[this.options.level];\n }\n\n private formatMessage(level: LogLevel, message: string, meta?: Record): string {\n const timestamp = new Date().toISOString();\n const prefix = this.options.prefix;\n let formatted = `${timestamp} ${prefix} [${level.toUpperCase()}] ${message}`;\n\n if (meta && Object.keys(meta).length > 0) {\n formatted += `\\n${JSON.stringify(meta, null, 2)}`;\n }\n\n return formatted;\n }\n\n debug(message: string, meta?: Record): void {\n if (this.shouldLog('debug')) {\n // eslint-disable-next-line no-console\n console.debug(this.formatMessage('debug', message, meta));\n }\n }\n\n info(message: string, meta?: Record): void {\n if (this.shouldLog('info')) {\n // eslint-disable-next-line no-console\n console.info(this.formatMessage('info', message, meta));\n }\n }\n\n warn(message: string, meta?: Record): void {\n if (this.shouldLog('warn')) {\n console.warn(this.formatMessage('warn', message, meta));\n }\n }\n\n error(message: string, error?: Error | Record): void {\n if (this.shouldLog('error')) {\n const meta = error instanceof Error ? { message: error.message, stack: error.stack } : error;\n console.error(this.formatMessage('error', message, meta));\n }\n }\n\n setLevel(level: LogLevel): void {\n this.options.level = level;\n }\n\n setEnabled(enabled: boolean): void {\n this.options.enabled = enabled;\n }\n}\n\nexport const createLogger = (options?: Partial): Logger => {\n return new Logger(options);\n};\n","import * as https from 'https';\nimport * as http from 'http';\nimport { OpenRouterConfig } from '../types/config';\nimport { NetworkError, TimeoutError, parseOpenRouterError } from '../utils/errors';\nimport { Logger } from '../utils/logger';\n\nexport interface RequestOptions {\n method: 'GET' | 'POST' | 'PUT' | 'DELETE';\n headers?: Record;\n body?: unknown;\n timeout?: number;\n}\n\nexport interface HttpResponse {\n status: number;\n headers: Record;\n data: T;\n}\n\nexport class HttpClient {\n private agent: https.Agent;\n private logger: Logger;\n\n constructor(\n private config: OpenRouterConfig,\n logger?: Logger,\n ) {\n this.logger = logger || new Logger({ enabled: config.logging?.enabled });\n\n this.agent = new https.Agent({\n keepAlive: true,\n maxSockets: 50,\n maxFreeSockets: 10,\n timeout: config.timeout || 30000,\n keepAliveMsecs: 1000,\n });\n }\n\n async request(url: string, options: RequestOptions): Promise> {\n const fullUrl = url.startsWith('http') ? url : `${this.config.baseURL}${url}`;\n const timeout = options.timeout || this.config.timeout || 30000;\n\n return new Promise((resolve, reject) => {\n const parsedUrl = new URL(fullUrl);\n const isHttps = parsedUrl.protocol === 'https:';\n const lib = isHttps ? https : http;\n\n const requestOptions: http.RequestOptions = {\n method: options.method,\n hostname: parsedUrl.hostname,\n port: parsedUrl.port,\n path: parsedUrl.pathname + parsedUrl.search,\n headers: {\n 'Content-Type': 'application/json',\n 'User-Agent': `Payaar-OpenRouter-Client/1.0.0 (${this.config.appName || 'Unknown'})`,\n Authorization: `Bearer ${this.config.apiKey}`,\n 'HTTP-Referer': this.config.httpReferer || 'https://github.com/3bd0-shaban/payaar-core',\n 'X-Title': (this.config.appName || 'Payaar-OpenRouter-Client').replace(\n /[^a-zA-Z0-9-_]/g,\n '-',\n ),\n 'X-Project': this.config.appName || 'payaar-core',\n ...options.headers,\n },\n agent: isHttps ? this.agent : undefined,\n timeout,\n };\n\n this.logger.debug(`HTTP ${options.method} ${fullUrl}`, {\n headers: requestOptions.headers,\n });\n\n const req = lib.request(requestOptions, (res) => {\n let data = '';\n\n res.on('data', (chunk) => {\n data += chunk;\n });\n\n res.on('end', () => {\n try {\n const statusCode = res.statusCode || 500;\n const headers: Record = {};\n\n Object.entries(res.headers).forEach(([key, value]) => {\n headers[key] = Array.isArray(value) ? value.join(', ') : value || '';\n });\n\n this.logger.debug(`HTTP Response ${statusCode}`, {\n url: fullUrl,\n status: statusCode,\n });\n\n if (statusCode >= 200 && statusCode < 300) {\n const parsedData = data ? JSON.parse(data) : null;\n resolve({\n status: statusCode,\n headers,\n data: parsedData,\n });\n } else {\n const errorBody = data ? JSON.parse(data) : {};\n reject(parseOpenRouterError(statusCode, errorBody));\n }\n } catch (error) {\n reject(\n new NetworkError(\n `Failed to parse response: ${(error as Error).message}`,\n error as Error,\n ),\n );\n }\n });\n });\n\n req.on('error', (error) => {\n this.logger.error('HTTP request failed', error);\n reject(new NetworkError(`Request failed: ${error.message}`, error));\n });\n\n req.on('timeout', () => {\n req.destroy();\n reject(new TimeoutError(timeout));\n });\n\n if (options.body) {\n const body = JSON.stringify(options.body);\n req.write(body);\n }\n\n req.end();\n });\n }\n\n async get(url: string, headers?: Record): Promise> {\n return this.request(url, { method: 'GET', headers });\n }\n\n async post(\n url: string,\n body: unknown,\n headers?: Record,\n ): Promise> {\n return this.request(url, { method: 'POST', body, headers });\n }\n\n async put(\n url: string,\n body: unknown,\n headers?: Record,\n ): Promise> {\n return this.request(url, { method: 'PUT', body, headers });\n }\n\n async delete(url: string, headers?: Record): Promise> {\n return this.request(url, { method: 'DELETE', headers });\n }\n\n /**\n * POST request with SSE streaming support\n */\n async *postStream(\n url: string,\n body: unknown,\n headers?: Record,\n ): AsyncIterable {\n const fullUrl = `${this.config.baseURL}${url}`;\n const timeout = this.config.timeout || 30000;\n const parsedUrl = new URL(fullUrl);\n const isHttps = parsedUrl.protocol === 'https:';\n const lib = isHttps ? https : http;\n\n const requestOptions: http.RequestOptions = {\n method: 'POST',\n hostname: parsedUrl.hostname,\n port: parsedUrl.port,\n path: parsedUrl.pathname + parsedUrl.search,\n headers: {\n 'Content-Type': 'application/json',\n 'User-Agent': `Payaar-OpenRouter-Client/1.0.0 (${this.config.appName || 'Unknown'})`,\n Authorization: `Bearer ${this.config.apiKey}`,\n 'HTTP-Referer': this.config.httpReferer || 'https://github.com/3bd0-shaban/payaar-core',\n 'X-Title': (this.config.appName || 'Payaar-OpenRouter-Client').replace(\n /[^a-zA-Z0-9-_]/g,\n '-',\n ),\n 'X-Project': this.config.appName || 'payaar-core',\n Accept: 'text/event-stream',\n ...headers,\n },\n agent: isHttps ? this.agent : undefined,\n timeout,\n };\n\n this.logger.debug(`HTTP POST (stream) ${fullUrl}`);\n\n const generator = await new Promise>((resolve, reject) => {\n const req = lib.request(requestOptions, (res) => {\n const statusCode = res.statusCode || 0;\n\n if (statusCode < 200 || statusCode >= 300) {\n let errorData = '';\n res.on('data', (chunk) => (errorData += chunk));\n res.on('end', () => {\n try {\n const errorBody = errorData ? JSON.parse(errorData) : {};\n reject(parseOpenRouterError(statusCode, errorBody));\n } catch {\n reject(new NetworkError(`HTTP ${statusCode}: ${errorData}`));\n }\n });\n return;\n }\n\n // Create async generator for SSE stream\n const streamGenerator = (async function* () {\n let buffer = '';\n\n for await (const chunk of res) {\n buffer += chunk.toString();\n const lines = buffer.split('\\n');\n buffer = lines.pop() || '';\n\n for (const line of lines) {\n const trimmed = line.trim();\n if (trimmed.startsWith('data: ')) {\n const data = trimmed.slice(6);\n\n if (data === '[DONE]') {\n return;\n }\n\n try {\n yield JSON.parse(data) as T;\n } catch {\n // Skip invalid JSON\n continue;\n }\n }\n }\n }\n })();\n\n resolve(streamGenerator);\n });\n\n req.on('error', (error) => {\n reject(new NetworkError(`Network request failed: ${error.message}`, error));\n });\n\n req.on('timeout', () => {\n req.destroy();\n reject(new TimeoutError(timeout));\n });\n\n if (body) {\n req.write(JSON.stringify(body));\n }\n\n req.end();\n });\n\n // Yield all chunks from the generator\n for await (const chunk of generator) {\n yield chunk;\n }\n }\n\n destroy(): void {\n this.agent.destroy();\n }\n}\n","import { Logger } from '../utils/logger';\nimport { OpenRouterError } from '../utils/errors';\n\nexport interface RetryPolicyOptions {\n maxAttempts: number;\n baseDelay: number;\n maxDelay: number;\n exponential: boolean;\n retryableStatusCodes: number[];\n}\n\nexport class RetryPolicy {\n private logger: Logger;\n\n constructor(\n private options: RetryPolicyOptions,\n logger?: Logger,\n ) {\n this.logger = logger || new Logger({ enabled: false });\n }\n\n async execute(operation: () => Promise, context?: string): Promise {\n let lastError: Error | null = null;\n let attempt = 0;\n\n while (attempt < this.options.maxAttempts) {\n try {\n const result = await operation();\n\n if (attempt > 0) {\n this.logger.info(`Operation succeeded after ${attempt} retries`, { context });\n }\n\n return result;\n } catch (error) {\n lastError = error as Error;\n attempt++;\n\n if (!this.shouldRetry(error as Error)) {\n this.logger.debug('Error is not retryable, throwing immediately', {\n context,\n error: (error as Error).message,\n });\n throw error;\n }\n\n if (attempt >= this.options.maxAttempts) {\n this.logger.warn(`Max retry attempts (${this.options.maxAttempts}) reached`, {\n context,\n error: (error as Error).message,\n });\n break;\n }\n\n const delay = this.calculateDelay(attempt);\n this.logger.info(`Retrying operation (attempt ${attempt}/${this.options.maxAttempts})`, {\n context,\n delay,\n error: (error as Error).message,\n });\n\n await this.sleep(delay);\n }\n }\n\n throw lastError;\n }\n\n private shouldRetry(error: Error): boolean {\n if (error instanceof OpenRouterError) {\n return error.statusCode\n ? this.options.retryableStatusCodes.includes(error.statusCode)\n : false;\n }\n\n // Network errors are retryable\n return error.name === 'NetworkError' || error.name === 'TimeoutError';\n }\n\n private calculateDelay(attempt: number): number {\n if (this.options.exponential) {\n const exponentialDelay = this.options.baseDelay * Math.pow(2, attempt - 1);\n return Math.min(exponentialDelay, this.options.maxDelay);\n }\n\n return Math.min(this.options.baseDelay * attempt, this.options.maxDelay);\n }\n\n private sleep(ms: number): Promise {\n return new Promise((resolve) => setTimeout(resolve, ms));\n }\n}\n","import { EventEmitter } from 'eventemitter3';\nimport { Logger } from '../utils/logger';\n\ntype CircuitState = 'CLOSED' | 'OPEN' | 'HALF_OPEN';\n\nexport interface CircuitBreakerOptions {\n failureThreshold: number;\n resetTimeout: number;\n monitorInterval: number;\n}\n\ninterface CircuitBreakerEvents {\n 'state:changed': (oldState: CircuitState, newState: CircuitState) => void;\n 'circuit:opened': (failures: number) => void;\n 'circuit:closed': () => void;\n 'failure:recorded': (total: number) => void;\n}\n\nexport class CircuitBreaker extends EventEmitter {\n private state: CircuitState = 'CLOSED';\n private failureCount = 0;\n private lastFailureTime?: Date;\n private resetTimer?: NodeJS.Timeout;\n private logger: Logger;\n\n constructor(\n private options: CircuitBreakerOptions,\n logger?: Logger,\n ) {\n super();\n this.logger = logger || new Logger({ enabled: false });\n }\n\n async execute(operation: () => Promise): Promise {\n if (this.state === 'OPEN') {\n throw new Error('Circuit breaker is OPEN');\n }\n\n try {\n const result = await operation();\n this.onSuccess();\n return result;\n } catch (error) {\n this.onFailure();\n throw error;\n }\n }\n\n private onSuccess(): void {\n if (this.state === 'HALF_OPEN') {\n this.close();\n } else {\n this.failureCount = 0;\n }\n }\n\n private onFailure(): void {\n this.failureCount++;\n this.lastFailureTime = new Date();\n\n this.emit('failure:recorded', this.failureCount);\n this.logger.debug(`Circuit breaker failure recorded`, {\n failures: this.failureCount,\n threshold: this.options.failureThreshold,\n });\n\n if (this.failureCount >= this.options.failureThreshold) {\n this.open();\n }\n }\n\n private open(): void {\n if (this.state === 'OPEN') return;\n\n const oldState = this.state;\n this.state = 'OPEN';\n\n this.emit('state:changed', oldState, 'OPEN');\n this.emit('circuit:opened', this.failureCount);\n\n this.logger.warn('Circuit breaker opened', {\n failures: this.failureCount,\n threshold: this.options.failureThreshold,\n });\n\n // Schedule transition to HALF_OPEN\n this.resetTimer = setTimeout(() => {\n this.halfOpen();\n }, this.options.resetTimeout);\n }\n\n private halfOpen(): void {\n if (this.state !== 'OPEN') return;\n\n const oldState = this.state;\n this.state = 'HALF_OPEN';\n\n this.emit('state:changed', oldState, 'HALF_OPEN');\n this.logger.info('Circuit breaker half-opened (testing recovery)');\n }\n\n private close(): void {\n if (this.state === 'CLOSED') return;\n\n const oldState = this.state;\n this.state = 'CLOSED';\n this.failureCount = 0;\n\n if (this.resetTimer) {\n clearTimeout(this.resetTimer);\n this.resetTimer = undefined;\n }\n\n this.emit('state:changed', oldState, 'CLOSED');\n this.emit('circuit:closed');\n this.logger.info('Circuit breaker closed (recovered)');\n }\n\n getState(): CircuitState {\n return this.state;\n }\n\n getFailureCount(): number {\n return this.failureCount;\n }\n\n isOpen(): boolean {\n return this.state === 'OPEN';\n }\n\n reset(): void {\n this.close();\n }\n\n destroy(): void {\n if (this.resetTimer) {\n clearTimeout(this.resetTimer);\n }\n this.removeAllListeners();\n }\n}\n","import { OpenRouterConfig } from '../types/config';\n\nexport const DEFAULT_CONFIG: Partial = {\n baseURL: 'https://openrouter.ai/api/v1',\n timeout: 30000,\n maxRetries: 3,\n retryDelay: 1000,\n\n modelSelection: {\n strategy: 'balanced',\n fallbackEnabled: true,\n maxFallbacks: 3,\n autoSelect: true,\n },\n\n cache: {\n enabled: true,\n ttl: 600000, // 10 minutes\n maxSize: 1000,\n },\n\n logging: {\n enabled: true,\n level: 'info',\n },\n\n budgets: {\n alertThreshold: 0.8,\n },\n};\n\nexport const DEFAULT_MODELS = {\n budget: 'google/gemini-flash-1.5',\n balanced: 'anthropic/claude-3.5-sonnet',\n premium: 'anthropic/claude-3-opus',\n vision: 'anthropic/claude-3.5-sonnet',\n coding: 'anthropic/claude-3.5-sonnet',\n};\n\nexport const RETRY_STATUS_CODES = [408, 429, 500, 502, 503, 504];\n\nexport const OPENROUTER_ENDPOINTS = {\n CHAT: '/chat/completions',\n MODELS: '/models',\n GENERATION: '/generation',\n} as const;\n","import {\n ChatCompletionRequest,\n ChatCompletionResponse,\n StreamChunk,\n ModelsListResponse,\n} from '../types/api';\nimport { HttpClient } from '../http/HttpClient';\nimport { OPENROUTER_ENDPOINTS } from '../config/defaults';\nimport { Logger } from '../utils/logger';\n\nexport class OpenRouterAPI {\n constructor(\n private httpClient: HttpClient,\n private logger: Logger,\n ) {}\n\n /**\n * Create a chat completion\n */\n async createChatCompletion(request: ChatCompletionRequest): Promise {\n this.logger.debug('Creating chat completion', {\n model: request.model,\n messages: request.messages.length,\n });\n\n const response = await this.httpClient.post(\n OPENROUTER_ENDPOINTS.CHAT,\n request,\n );\n\n return response.data;\n }\n\n /**\n * Create a streaming chat completion\n */\n async *createStreamingChatCompletion(request: ChatCompletionRequest): AsyncIterable {\n this.logger.debug('Creating streaming chat completion', {\n model: request.model,\n messages: request.messages.length,\n });\n\n const streamRequest = {\n ...request,\n stream: true,\n };\n\n // Use raw streaming method to yield chunks\n yield* this.httpClient.postStream(OPENROUTER_ENDPOINTS.CHAT, streamRequest);\n }\n\n /**\n * List available models\n */\n async listModels(): Promise {\n this.logger.debug('Listing models');\n\n const response = await this.httpClient.get(OPENROUTER_ENDPOINTS.MODELS);\n\n return response.data;\n }\n\n /**\n * Get generation info (for cost tracking)\n */\n async getGeneration(generationId: string): Promise {\n this.logger.debug('Getting generation info', { generationId });\n\n const response = await this.httpClient.get(\n `${OPENROUTER_ENDPOINTS.GENERATION}?id=${generationId}`,\n );\n\n return response.data;\n }\n}\n","[\n {\n \"id\": \"anthropic/claude-3.5-sonnet\",\n \"name\": \"Claude 3.5 Sonnet\",\n \"provider\": \"anthropic\",\n \"description\": \"Most intelligent Claude model with best-in-class coding and vision\",\n \"capabilities\": {\n \"vision\": true,\n \"functionCalling\": true,\n \"jsonMode\": true,\n \"tools\": true,\n \"streaming\": true,\n \"codeGeneration\": true\n },\n \"pricing\": {\n \"inputTokens\": 3.0,\n \"outputTokens\": 15.0\n },\n \"contextWindow\": 200000,\n \"maxCompletionTokens\": 8192,\n \"deprecated\": false,\n \"modality\": \"multimodal\",\n \"tier\": \"balanced\",\n \"tags\": [\"balanced\", \"vision\", \"coding\", \"recommended\"],\n \"rating\": 9.5,\n \"releaseDate\": \"2024-06-20\"\n },\n {\n \"id\": \"openai/gpt-4-turbo\",\n \"name\": \"GPT-4 Turbo\",\n \"provider\": \"openai\",\n \"description\": \"Latest GPT-4 Turbo with vision capabilities\",\n \"capabilities\": {\n \"vision\": true,\n \"functionCalling\": true,\n \"jsonMode\": true,\n \"tools\": true,\n \"streaming\": true\n },\n \"pricing\": {\n \"inputTokens\": 10.0,\n \"outputTokens\": 30.0\n },\n \"contextWindow\": 128000,\n \"maxCompletionTokens\": 4096,\n \"deprecated\": false,\n \"modality\": \"multimodal\",\n \"tier\": \"premium\",\n \"tags\": [\"premium\", \"vision\", \"function-calling\"],\n \"rating\": 9.3,\n \"releaseDate\": \"2024-04-09\"\n },\n {\n \"id\": \"openai/gpt-3.5-turbo\",\n \"name\": \"GPT-3.5 Turbo\",\n \"provider\": \"openai\",\n \"description\": \"Fast and efficient model for everyday tasks\",\n \"capabilities\": {\n \"vision\": false,\n \"functionCalling\": true,\n \"jsonMode\": true,\n \"tools\": true,\n \"streaming\": true\n },\n \"pricing\": {\n \"inputTokens\": 0.5,\n \"outputTokens\": 1.5\n },\n \"contextWindow\": 16385,\n \"maxCompletionTokens\": 4096,\n \"deprecated\": false,\n \"modality\": \"text\",\n \"tier\": \"budget\",\n \"tags\": [\"budget\", \"fast\", \"general\"],\n \"rating\": 8.5,\n \"releaseDate\": \"2023-03-01\"\n },\n {\n \"id\": \"anthropic/claude-3-opus\",\n \"name\": \"Claude 3 Opus\",\n \"provider\": \"anthropic\",\n \"description\": \"Most capable Claude model for complex tasks\",\n \"capabilities\": {\n \"vision\": true,\n \"functionCalling\": true,\n \"jsonMode\": true,\n \"tools\": true,\n \"streaming\": true\n },\n \"pricing\": {\n \"inputTokens\": 15.0,\n \"outputTokens\": 75.0\n },\n \"contextWindow\": 200000,\n \"maxCompletionTokens\": 4096,\n \"deprecated\": false,\n \"modality\": \"multimodal\",\n \"tags\": [\"premium\", \"vision\"]\n },\n {\n \"id\": \"google/gemini-flash-1.5\",\n \"name\": \"Gemini 1.5 Flash\",\n \"provider\": \"google\",\n \"description\": \"Fast and cost-effective multimodal model\",\n \"capabilities\": {\n \"vision\": true,\n \"functionCalling\": true,\n \"jsonMode\": true,\n \"tools\": true,\n \"streaming\": true\n },\n \"pricing\": {\n \"inputTokens\": 0.075,\n \"outputTokens\": 0.3\n },\n \"contextWindow\": 1000000,\n \"maxCompletionTokens\": 8192,\n \"deprecated\": false,\n \"modality\": \"multimodal\",\n \"tags\": [\"budget\", \"vision\", \"long-context\"]\n },\n {\n \"id\": \"google/gemini-pro-1.5\",\n \"name\": \"Gemini 1.5 Pro\",\n \"provider\": \"google\",\n \"description\": \"Powerful multimodal model with 1M token context\",\n \"capabilities\": {\n \"vision\": true,\n \"functionCalling\": true,\n \"jsonMode\": true,\n \"tools\": true,\n \"streaming\": true\n },\n \"pricing\": {\n \"inputTokens\": 1.25,\n \"outputTokens\": 5.0\n },\n \"contextWindow\": 1000000,\n \"maxCompletionTokens\": 8192,\n \"deprecated\": false,\n \"modality\": \"multimodal\",\n \"tags\": [\"balanced\", \"vision\", \"long-context\"]\n },\n {\n \"id\": \"meta-llama/llama-3.1-405b-instruct\",\n \"name\": \"Llama 3.1 405B Instruct\",\n \"provider\": \"meta\",\n \"description\": \"Most powerful open-source model\",\n \"capabilities\": {\n \"vision\": false,\n \"functionCalling\": true,\n \"jsonMode\": true,\n \"tools\": true,\n \"streaming\": true,\n \"codeGeneration\": true\n },\n \"pricing\": {\n \"inputTokens\": 3.0,\n \"outputTokens\": 3.0\n },\n \"contextWindow\": 128000,\n \"maxCompletionTokens\": 4096,\n \"deprecated\": false,\n \"modality\": \"text\",\n \"tags\": [\"balanced\", \"open-source\", \"coding\"]\n },\n {\n \"id\": \"meta-llama/llama-3.1-70b-instruct\",\n \"name\": \"Llama 3.1 70B Instruct\",\n \"provider\": \"meta\",\n \"description\": \"Powerful open-source model, good quality/cost ratio\",\n \"capabilities\": {\n \"vision\": false,\n \"functionCalling\": true,\n \"jsonMode\": true,\n \"tools\": true,\n \"streaming\": true,\n \"codeGeneration\": true\n },\n \"pricing\": {\n \"inputTokens\": 0.52,\n \"outputTokens\": 0.75\n },\n \"contextWindow\": 128000,\n \"maxCompletionTokens\": 4096,\n \"deprecated\": false,\n \"modality\": \"text\",\n \"tags\": [\"budget\", \"open-source\", \"coding\"]\n },\n {\n \"id\": \"mistralai/mistral-large\",\n \"name\": \"Mistral Large\",\n \"provider\": \"mistral\",\n \"description\": \"Flagship Mistral model with strong performance\",\n \"capabilities\": {\n \"vision\": false,\n \"functionCalling\": true,\n \"jsonMode\": true,\n \"tools\": true,\n \"streaming\": true\n },\n \"pricing\": {\n \"inputTokens\": 4.0,\n \"outputTokens\": 12.0\n },\n \"contextWindow\": 128000,\n \"maxCompletionTokens\": 4096,\n \"deprecated\": false,\n \"modality\": \"text\",\n \"tier\": \"balanced\",\n \"tags\": [\"balanced\", \"multilingual\"],\n \"rating\": 8.7,\n \"releaseDate\": \"2024-02-26\"\n },\n {\n \"id\": \"deepseek/deepseek-chat\",\n \"name\": \"DeepSeek Chat\",\n \"provider\": \"deepseek\",\n \"description\": \"FREE - High-quality open model with excellent coding capabilities\",\n \"capabilities\": {\n \"vision\": false,\n \"functionCalling\": true,\n \"jsonMode\": true,\n \"tools\": true,\n \"streaming\": true,\n \"codeGeneration\": true\n },\n \"pricing\": {\n \"inputTokens\": 0.0,\n \"outputTokens\": 0.0\n },\n \"contextWindow\": 64000,\n \"maxCompletionTokens\": 4096,\n \"deprecated\": false,\n \"modality\": \"text\",\n \"tier\": \"free\",\n \"tags\": [\"free\", \"coding\", \"open-source\", \"recommended\"],\n \"rating\": 8.8,\n \"releaseDate\": \"2024-01-15\"\n },\n {\n \"id\": \"mistralai/mistral-7b-instruct\",\n \"name\": \"Mistral 7B Instruct\",\n \"provider\": \"mistral\",\n \"description\": \"FREE - Efficient small model for simple tasks\",\n \"capabilities\": {\n \"vision\": false,\n \"functionCalling\": true,\n \"jsonMode\": true,\n \"tools\": true,\n \"streaming\": true\n },\n \"pricing\": {\n \"inputTokens\": 0.0,\n \"outputTokens\": 0.0\n },\n \"contextWindow\": 32768,\n \"maxCompletionTokens\": 4096,\n \"deprecated\": false,\n \"modality\": \"text\",\n \"tier\": \"free\",\n \"tags\": [\"free\", \"fast\", \"open-source\"],\n \"rating\": 8.0,\n \"releaseDate\": \"2023-09-27\"\n },\n {\n \"id\": \"mistralai/mistral-7b-instruct\",\n \"name\": \"Mistral 7B Instruct\",\n \"provider\": \"mistral\",\n \"description\": \"FREE - Efficient small model for simple tasks\",\n \"capabilities\": {\n \"vision\": false,\n \"functionCalling\": false,\n \"jsonMode\": true,\n \"tools\": false,\n \"streaming\": true\n },\n \"pricing\": {\n \"inputTokens\": 0.0,\n \"outputTokens\": 0.0\n },\n \"contextWindow\": 32768,\n \"maxCompletionTokens\": 4096,\n \"deprecated\": false,\n \"modality\": \"text\",\n \"tier\": \"free\",\n \"tags\": [\"free\", \"fast\", \"lightweight\"],\n \"rating\": 8.0,\n \"releaseDate\": \"2023-09-27\"\n },\n {\n \"id\": \"meta-llama/llama-3.1-8b-instruct:free\",\n \"name\": \"Llama 3.1 8B Instruct (Free)\",\n \"provider\": \"meta\",\n \"description\": \"FREE - Fast and efficient model for basic tasks\",\n \"capabilities\": {\n \"vision\": false,\n \"functionCalling\": true,\n \"jsonMode\": true,\n \"tools\": true,\n \"streaming\": true\n },\n \"pricing\": {\n \"inputTokens\": 0.0,\n \"outputTokens\": 0.0\n },\n \"contextWindow\": 128000,\n \"maxCompletionTokens\": 4096,\n \"deprecated\": false,\n \"modality\": \"text\",\n \"tier\": \"free\",\n \"tags\": [\"free\", \"fast\", \"open-source\"],\n \"rating\": 8.2,\n \"releaseDate\": \"2024-07-23\"\n }\n]\n","import { Model, ModelFilter } from '../types/models';\nimport modelsData from '../../data/models.json';\n\nexport class ModelCatalog {\n private models: Map = new Map();\n private lastSync?: Date;\n\n constructor() {\n this.loadEmbeddedModels();\n }\n\n /**\n * Load embedded model catalog from JSON\n */\n private loadEmbeddedModels(): void {\n for (const modelData of modelsData) {\n const model: Model = {\n ...modelData,\n releaseDate: undefined,\n } as Model;\n\n this.models.set(model.id, model);\n }\n\n this.lastSync = new Date();\n }\n\n /**\n * Get a specific model by ID\n */\n getModel(id: string): Model | null {\n return this.models.get(id) || null;\n }\n\n /**\n * Get all models\n */\n getAllModels(): Model[] {\n return Array.from(this.models.values());\n }\n\n /**\n * Get models by provider\n */\n getModelsByProvider(provider: string): Model[] {\n return this.getAllModels().filter((m) => m.provider.toLowerCase() === provider.toLowerCase());\n }\n\n /**\n * Filter models by criteria\n */\n filterModels(filter: ModelFilter): Model[] {\n let results = this.getAllModels();\n\n // Filter by deprecated\n if (filter.excludeDeprecated !== false) {\n results = results.filter((m) => !m.deprecated);\n }\n\n // Filter by providers\n if (filter.providers && filter.providers.length > 0) {\n results = results.filter((m) =>\n filter.providers!.some((p) => p.toLowerCase() === m.provider.toLowerCase()),\n );\n }\n\n // Filter by capabilities\n if (filter.capabilities) {\n results = results.filter((m) => {\n for (const [key, value] of Object.entries(filter.capabilities!)) {\n // eslint-disable-next-line @typescript-eslint/no-unnecessary-condition\n if (value !== undefined && m.capabilities[key as keyof typeof m.capabilities] !== value) {\n return false;\n }\n }\n return true;\n });\n }\n\n // Filter by max cost\n if (filter.maxCost !== undefined) {\n results = results.filter(\n (m) =>\n m.pricing.inputTokens <= filter.maxCost! && m.pricing.outputTokens <= filter.maxCost!,\n );\n }\n\n // Filter by context window\n if (filter.minContextWindow !== undefined) {\n results = results.filter((m) => m.contextWindow >= filter.minContextWindow!);\n }\n\n // Filter by modality\n if (filter.modality) {\n results = results.filter((m) => m.modality === filter.modality);\n }\n\n // Filter by tags\n if (filter.tags && filter.tags.length > 0) {\n results = results.filter((m) => m.tags && filter.tags!.some((tag) => m.tags!.includes(tag)));\n }\n\n return results;\n }\n\n /**\n * Get models with specific capability\n */\n getModelsByCapability(capability: keyof Model['capabilities']): Model[] {\n return this.getAllModels().filter((m) => m.capabilities[capability]);\n }\n\n /**\n * Get cheapest models (sorted by total cost)\n */\n getCheapestModels(limit = 10): Model[] {\n const sorted = this.getAllModels()\n .filter((m) => !m.deprecated)\n .sort((a, b) => {\n const costA = a.pricing.inputTokens + a.pricing.outputTokens;\n const costB = b.pricing.inputTokens + b.pricing.outputTokens;\n return costA - costB;\n });\n\n return sorted.slice(0, limit);\n }\n\n /**\n * Get all free models\n */\n getFreeModels(): Model[] {\n return this.getAllModels().filter(\n (m) => !m.deprecated && m.pricing.inputTokens === 0 && m.pricing.outputTokens === 0,\n );\n }\n\n /**\n * Search models by name or description\n */\n\n /**\n * Search models by name or description\n */\n searchModels(query: string): Model[] {\n const lowerQuery = query.toLowerCase();\n return this.getAllModels().filter(\n (m) =>\n m.name.toLowerCase().includes(lowerQuery) ||\n m.id.toLowerCase().includes(lowerQuery) ||\n m.description?.toLowerCase().includes(lowerQuery),\n );\n }\n\n /**\n * Get total number of models\n */\n count(): number {\n return this.models.size;\n }\n\n /**\n * Check if model exists\n */\n hasModel(id: string): boolean {\n return this.models.has(id);\n }\n\n /**\n * Get last sync time\n */\n getLastSync(): Date | undefined {\n return this.lastSync;\n }\n\n /**\n * Add or update a model (for testing or dynamic updates)\n */\n addModel(model: Model): void {\n this.models.set(model.id, model);\n }\n\n /**\n * Remove a model\n */\n removeModel(id: string): boolean {\n return this.models.delete(id);\n }\n\n /**\n * Clear all models\n */\n clear(): void {\n this.models.clear();\n }\n}\n\n// Singleton instance\nlet catalogInstance: ModelCatalog | null = null;\n\nexport function getModelCatalog(): ModelCatalog {\n if (!catalogInstance) {\n catalogInstance = new ModelCatalog();\n }\n return catalogInstance;\n}\n","import { IRouter, SelectionCriteria, SelectionResult } from '../../types/routing';\nimport { ModelCatalog } from '../ModelCatalog';\nimport { Logger } from '../../utils/logger';\nimport { Model } from '../../types/models';\n\nexport class CostOptimizer implements IRouter {\n constructor(\n private catalog: ModelCatalog,\n private logger: Logger,\n ) {}\n\n getName(): string {\n return 'cost';\n }\n\n async route(query: string, criteria: SelectionCriteria): Promise {\n await Promise.resolve(); // Keep async for consistent interface\n this.logger.debug('CostOptimizer: Finding cheapest model (prioritizing free)', { criteria });\n\n // First, try to get free models\n let candidates = this.catalog.getFreeModels();\n\n // If no free models or criteria specified, get filtered models\n if (candidates.length === 0 || Object.keys(criteria).length > 0) {\n candidates = this.catalog.filterModels(criteria);\n }\n\n if (candidates.length === 0) {\n throw new Error('No models match the specified criteria');\n }\n\n // Sort by total cost (input + output) - free models naturally come first\n const sorted = candidates.sort((a, b) => {\n const aCost = a.pricing.inputTokens + a.pricing.outputTokens;\n const bCost = b.pricing.inputTokens + b.pricing.outputTokens;\n return aCost - bCost;\n });\n\n const selected = sorted[0];\n const isFree = selected.pricing.inputTokens === 0 && selected.pricing.outputTokens === 0;\n\n const alternatives = sorted.slice(1, 4).map((m, idx) => {\n const mIsFree = m.pricing.inputTokens === 0 && m.pricing.outputTokens === 0;\n return {\n modelId: m.id,\n score: this.calculateCostScore(m),\n reason: mIsFree\n ? `Alternative ${idx + 1}: FREE`\n : `Alternative ${idx + 1}: ${this.formatCost(m)}`,\n };\n });\n\n const expectedCost = (selected.pricing.inputTokens + selected.pricing.outputTokens) / 2;\n\n return {\n modelId: selected.id,\n model: selected,\n provider: selected.provider,\n expectedCost,\n reason: isFree\n ? `FREE model: ${selected.name}`\n : `Cheapest option: ${this.formatCost(selected)}`,\n alternatives,\n confidence: 0.95,\n };\n }\n\n private calculateCostScore(model: Model): number {\n // Lower cost = higher score\n const totalCost = model.pricing.inputTokens + model.pricing.outputTokens;\n return 1 / (totalCost + 1);\n }\n\n private formatCost(model: Model): string {\n const input = model.pricing.inputTokens.toFixed(2);\n const output = model.pricing.outputTokens.toFixed(2);\n return `$${input}/$${output} per 1M tokens`;\n }\n}\n","import { IRouter, SelectionCriteria, SelectionResult } from '../../types/routing';\nimport { ModelCatalog } from '../ModelCatalog';\nimport { Logger } from '../../utils/logger';\nimport { Model } from '../../types/models';\n\nexport class PerformanceRouter implements IRouter {\n private performanceMetrics: Map = new Map();\n\n constructor(\n private catalog: ModelCatalog,\n private logger: Logger,\n ) {\n this.initializeMetrics();\n }\n\n getName(): string {\n return 'performance';\n }\n\n async route(query: string, criteria: SelectionCriteria): Promise {\n await Promise.resolve(); // Keep async for consistent interface\n this.logger.debug('PerformanceRouter: Finding fastest model', { criteria });\n\n const candidates = this.catalog.filterModels(criteria);\n\n if (candidates.length === 0) {\n throw new Error('No models match the specified criteria');\n }\n\n // Sort by performance score\n const sorted = candidates.sort((a, b) => {\n const aScore = this.getPerformanceScore(a);\n const bScore = this.getPerformanceScore(b);\n return bScore - aScore; // Higher is better\n });\n\n const selected = sorted[0];\n const alternatives = sorted.slice(1, 4).map((m, idx) => ({\n modelId: m.id,\n score: this.getPerformanceScore(m),\n reason: `Alternative ${idx + 1}: estimated ${this.getLatency(m)}ms latency`,\n }));\n\n const expectedCost = (selected.pricing.inputTokens + selected.pricing.outputTokens) / 2;\n\n return {\n modelId: selected.id,\n model: selected,\n provider: selected.provider,\n expectedCost,\n estimatedLatency: this.getLatency(selected),\n reason: `Fastest option: estimated ${this.getLatency(selected)}ms latency`,\n alternatives,\n confidence: 0.85,\n };\n }\n\n private initializeMetrics(): void {\n // Simulated performance metrics (in production, these would come from monitoring)\n this.performanceMetrics.set('google/gemini-flash-1.5', 500);\n this.performanceMetrics.set('google/gemini-pro-1.5', 800);\n this.performanceMetrics.set('anthropic/claude-3.5-sonnet', 1000);\n this.performanceMetrics.set('openai/gpt-4-turbo', 1200);\n this.performanceMetrics.set('anthropic/claude-3-opus', 1500);\n this.performanceMetrics.set('meta-llama/llama-3.1-70b-instruct', 900);\n this.performanceMetrics.set('meta-llama/llama-3.1-405b-instruct', 1400);\n }\n\n private getPerformanceScore(model: Model): number {\n const latency = this.getLatency(model);\n // Lower latency = higher score\n return 10000 / latency;\n }\n\n private getLatency(model: Model): number {\n return this.performanceMetrics.get(model.id) || 1000;\n }\n\n /**\n * Update performance metrics (for production use)\n */\n updateMetrics(modelId: string, latency: number): void {\n this.performanceMetrics.set(modelId, latency);\n }\n}\n","import { IRouter, SelectionCriteria, SelectionResult } from '../../types/routing';\nimport { ModelCatalog } from '../ModelCatalog';\nimport { Logger } from '../../utils/logger';\nimport { Model } from '../../types/models';\n\nexport interface BalancedWeights {\n cost: number;\n performance: number;\n capability: number;\n reliability: number;\n}\n\nexport class BalancedRouter implements IRouter {\n private weights: BalancedWeights = {\n cost: 0.4,\n performance: 0.3,\n capability: 0.2,\n reliability: 0.1,\n };\n\n private performanceMetrics: Map = new Map();\n\n constructor(\n private catalog: ModelCatalog,\n private logger: Logger,\n weights?: Partial,\n ) {\n if (weights) {\n this.weights = { ...this.weights, ...weights };\n }\n this.initializeMetrics();\n }\n\n getName(): string {\n return 'balanced';\n }\n\n async route(query: string, criteria: SelectionCriteria): Promise {\n await Promise.resolve(); // Keep async for consistent interface\n this.logger.debug('BalancedRouter: Finding balanced model', {\n criteria,\n weights: this.weights,\n });\n\n let candidates = this.catalog.filterModels(criteria);\n\n // Boost free models by including them if available\n const freeModels = this.catalog.getFreeModels();\n if (freeModels.length > 0 && Object.keys(criteria).length === 0) {\n // Merge free models with candidates, avoiding duplicates\n const candidateIds = new Set(candidates.map((c) => c.id));\n const newFreeModels = freeModels.filter((fm) => !candidateIds.has(fm.id));\n candidates = [...candidates, ...newFreeModels];\n }\n\n if (candidates.length === 0) {\n throw new Error('No models match the specified criteria');\n }\n\n // Score each model (free models get a significant boost)\n const scored = candidates.map((model) => {\n const isFree = model.pricing.inputTokens === 0 && model.pricing.outputTokens === 0;\n const baseScore = this.calculateBalancedScore(model);\n // Give free models a 20 point bonus to make them competitive\n const finalScore = isFree ? baseScore + 20 : baseScore;\n\n return {\n model,\n score: finalScore,\n isFree,\n };\n });\n\n // Sort by score (higher is better)\n scored.sort((a, b) => b.score - a.score);\n\n const selected = scored[0];\n const alternatives = scored.slice(1, 4).map((s, idx) => ({\n modelId: s.model.id,\n score: s.score,\n reason: s.isFree\n ? `Alternative ${idx + 1}: FREE (Score ${s.score.toFixed(2)})`\n : `Alternative ${idx + 1}: Score ${s.score.toFixed(2)}`,\n }));\n\n const expectedCost =\n (selected.model.pricing.inputTokens + selected.model.pricing.outputTokens) / 2;\n\n const reasonPrefix = selected.isFree ? 'Best FREE balanced model' : 'Best balanced option';\n return {\n modelId: selected.model.id,\n model: selected.model,\n provider: selected.model.provider,\n expectedCost,\n reason: `${reasonPrefix}: score ${selected.score.toFixed(2)} (cost + performance + capability)`,\n alternatives,\n confidence: 0.88,\n };\n }\n\n private calculateBalancedScore(model: Model): number {\n const costScore = this.calculateCostScore(model);\n const perfScore = this.calculatePerformanceScore(model);\n const capScore = this.calculateCapabilityScore(model);\n const relScore = this.calculateReliabilityScore(model);\n\n const totalScore =\n costScore * this.weights.cost +\n perfScore * this.weights.performance +\n capScore * this.weights.capability +\n relScore * this.weights.reliability;\n\n return totalScore;\n }\n\n private calculateCostScore(model: Model): number {\n const totalCost = model.pricing.inputTokens + model.pricing.outputTokens;\n // Normalize: cheaper is better, max cost ~100, min ~0.1\n const normalized = Math.max(0, 1 - totalCost / 100);\n return normalized * 100;\n }\n\n private calculatePerformanceScore(model: Model): number {\n const latency = this.getLatency(model);\n // Normalize: faster is better, max latency ~2000ms\n const normalized = Math.max(0, 1 - latency / 2000);\n return normalized * 100;\n }\n\n private calculateCapabilityScore(model: Model): number {\n let score = 0;\n const caps = model.capabilities;\n\n if (caps.vision) score += 20;\n if (caps.functionCalling) score += 20;\n if (caps.tools) score += 15;\n if (caps.jsonMode) score += 15;\n if (caps.streaming) score += 10;\n if (caps.codeGeneration) score += 20;\n\n // Context window bonus\n if (model.contextWindow >= 100000) score += 10;\n else if (model.contextWindow >= 32000) score += 5;\n\n return Math.min(score, 100);\n }\n\n private calculateReliabilityScore(model: Model): number {\n // Favor well-known providers and non-deprecated models\n let score = 50;\n\n if (!model.deprecated) score += 30;\n\n // Provider reliability (subjective, can be updated with real metrics)\n const providerScores: Record = {\n anthropic: 20,\n openai: 20,\n google: 15,\n meta: 10,\n mistral: 15,\n };\n\n score += providerScores[model.provider] || 5;\n\n return Math.min(score, 100);\n }\n\n private initializeMetrics(): void {\n // Simulated latency metrics\n this.performanceMetrics.set('google/gemini-flash-1.5', 500);\n this.performanceMetrics.set('google/gemini-pro-1.5', 800);\n this.performanceMetrics.set('anthropic/claude-3.5-sonnet', 1000);\n this.performanceMetrics.set('openai/gpt-4-turbo', 1200);\n this.performanceMetrics.set('anthropic/claude-3-opus', 1500);\n this.performanceMetrics.set('meta-llama/llama-3.1-70b-instruct', 900);\n this.performanceMetrics.set('meta-llama/llama-3.1-405b-instruct', 1400);\n this.performanceMetrics.set('mistralai/mistral-large', 1000);\n }\n\n private getLatency(model: Model): number {\n return this.performanceMetrics.get(model.id) || 1000;\n }\n\n /**\n * Update weights for custom balancing\n */\n setWeights(weights: Partial): void {\n this.weights = { ...this.weights, ...weights };\n\n // Normalize weights to sum to 1\n const total = Object.values(this.weights).reduce((a, b) => a + b, 0);\n this.weights = {\n cost: this.weights.cost / total,\n performance: this.weights.performance / total,\n capability: this.weights.capability / total,\n reliability: this.weights.reliability / total,\n };\n }\n}\n","import { IRouter, SelectionCriteria, SelectionResult } from '../../types/routing';\nimport { ModelCatalog } from '../ModelCatalog';\nimport { Logger } from '../../utils/logger';\nimport { Model, ModelCapabilities } from '../../types/models';\n\nexport class CapabilityRouter implements IRouter {\n constructor(\n private catalog: ModelCatalog,\n private logger: Logger,\n ) {}\n\n getName(): string {\n return 'capability';\n }\n\n async route(query: string, criteria: SelectionCriteria): Promise {\n await Promise.resolve(); // Keep async for consistent interface\n this.logger.debug('CapabilityRouter: Finding best model for capabilities', { criteria });\n\n // Detect required capabilities from query\n const detectedCaps = this.detectCapabilities(query);\n\n // Merge detected capabilities with criteria\n const requiredCapabilities = {\n ...detectedCaps,\n ...(criteria.capabilities || {}),\n };\n\n this.logger.debug('Required capabilities', { requiredCapabilities });\n\n // Filter models by capabilities\n const candidates = this.catalog.filterModels({\n ...criteria,\n capabilities: requiredCapabilities,\n });\n\n if (candidates.length === 0) {\n throw new Error('No models match the required capabilities');\n }\n\n // Score models by capability match\n const scored = candidates.map((model) => ({\n model,\n score: this.calculateCapabilityScore(model, requiredCapabilities),\n }));\n\n // Sort by score\n scored.sort((a, b) => b.score - a.score);\n\n const selected = scored[0];\n const alternatives = scored.slice(1, 4).map((item, idx) => ({\n modelId: item.model.id,\n score: item.score,\n reason: `Alternative ${idx + 1}: ${this.formatCapabilities(item.model)}`,\n }));\n\n const expectedCost =\n (selected.model.pricing.inputTokens + selected.model.pricing.outputTokens) / 2;\n\n return {\n modelId: selected.model.id,\n model: selected.model,\n provider: selected.model.provider,\n expectedCost,\n reason: `Best capability match: ${this.formatCapabilities(selected.model)}`,\n alternatives,\n confidence: 0.85,\n };\n }\n\n private detectCapabilities(query: string): Partial {\n const lowerQuery = query.toLowerCase();\n const capabilities: Partial = {};\n\n // Detect vision needs\n if (\n lowerQuery.includes('image') ||\n lowerQuery.includes('picture') ||\n lowerQuery.includes('photo') ||\n lowerQuery.includes('visual') ||\n lowerQuery.includes('see')\n ) {\n capabilities.vision = true;\n }\n\n // Detect function calling needs\n if (\n lowerQuery.includes('function') ||\n lowerQuery.includes('tool') ||\n lowerQuery.includes('api') ||\n lowerQuery.includes('call')\n ) {\n capabilities.functionCalling = true;\n capabilities.tools = true;\n }\n\n // Detect JSON mode needs\n if (\n lowerQuery.includes('json') ||\n lowerQuery.includes('structured') ||\n lowerQuery.includes('format')\n ) {\n capabilities.jsonMode = true;\n }\n\n // Detect code generation needs\n if (\n lowerQuery.includes('code') ||\n lowerQuery.includes('program') ||\n lowerQuery.includes('script') ||\n lowerQuery.includes('implement')\n ) {\n capabilities.codeGeneration = true;\n }\n\n return capabilities;\n }\n\n private calculateCapabilityScore(model: Model, required: Partial): number {\n let score = 0;\n let totalRequired = 0;\n\n // Check each required capability\n for (const [key, value] of Object.entries(required)) {\n // eslint-disable-next-line @typescript-eslint/no-unnecessary-condition\n if (value !== undefined) {\n totalRequired++;\n const capKey = key as keyof ModelCapabilities;\n\n if (model.capabilities[capKey] === value) {\n score += 20; // Base score for matching\n }\n }\n }\n\n // Bonus for additional capabilities\n const additionalCaps = Object.values(model.capabilities).filter(Boolean).length;\n score += additionalCaps * 2;\n\n // Bonus for larger context window (useful for complex tasks)\n if (model.contextWindow >= 100000) score += 10;\n else if (model.contextWindow >= 32000) score += 5;\n\n // Normalize by number of required capabilities\n if (totalRequired > 0) {\n score = score / totalRequired;\n }\n\n return score;\n }\n\n private formatCapabilities(model: Model): string {\n const caps: string[] = [];\n\n if (model.capabilities.vision) caps.push('vision');\n if (model.capabilities.functionCalling) caps.push('functions');\n if (model.capabilities.tools) caps.push('tools');\n if (model.capabilities.jsonMode) caps.push('JSON');\n if (model.capabilities.codeGeneration) caps.push('coding');\n\n return caps.join(', ') || 'basic';\n }\n}\n","import { SelectionCriteria, SelectionResult, IRouter } from '../types/routing';\nimport { ModelCatalog } from './ModelCatalog';\nimport { CostOptimizer } from './routers/CostOptimizer';\nimport { PerformanceRouter } from './routers/PerformanceRouter';\nimport { BalancedRouter } from './routers/BalancedRouter';\nimport { CapabilityRouter } from './routers/CapabilityRouter';\nimport { ModelSelectionError } from '../utils/errors';\nimport { Logger } from '../utils/logger';\n\nexport class ModelSelector {\n private catalog: ModelCatalog;\n private routers: Map;\n private logger: Logger;\n\n constructor(catalog?: ModelCatalog, logger?: Logger) {\n this.catalog = catalog || new ModelCatalog();\n this.logger = logger || new Logger({ enabled: false });\n\n // Initialize routers\n this.routers = new Map();\n this.routers.set('cost', new CostOptimizer(this.catalog, this.logger));\n this.routers.set('performance', new PerformanceRouter(this.catalog, this.logger));\n this.routers.set('balanced', new BalancedRouter(this.catalog, this.logger));\n this.routers.set('capability', new CapabilityRouter(this.catalog, this.logger));\n }\n\n /**\n * Select a model based on criteria\n */\n async selectModel(query: string, criteria: SelectionCriteria = {}): Promise {\n this.logger.debug('Selecting model', { criteria });\n\n const strategy = criteria.strategy || 'balanced';\n const router = this.routers.get(strategy);\n\n if (!router) {\n throw new ModelSelectionError(`Unknown routing strategy: ${strategy}`);\n }\n\n try {\n const result = await router.route(query, criteria);\n\n this.logger.info('Model selected', {\n modelId: result.modelId,\n strategy,\n reason: result.reason,\n });\n\n return result;\n } catch (error) {\n this.logger.error('Model selection failed', error as Error);\n throw new ModelSelectionError(`Failed to select model: ${(error as Error).message}`, {\n query,\n criteria,\n strategy,\n });\n }\n }\n\n /**\n * Select model by explicit ID\n */\n async selectById(modelId: string): Promise {\n await Promise.resolve(); // Keep async for consistent interface\n const model = this.catalog.getModel(modelId);\n\n if (!model) {\n throw new ModelSelectionError(`Model not found: ${modelId}`);\n }\n\n return {\n modelId: model.id,\n model,\n provider: model.provider,\n expectedCost: (model.pricing.inputTokens + model.pricing.outputTokens) / 2,\n reason: 'Explicitly specified model ID',\n alternatives: [],\n confidence: 1.0,\n };\n }\n\n /**\n * Get fallback models\n */\n async getFallbacks(primaryModel: string, criteria: SelectionCriteria = {}): Promise {\n await Promise.resolve(); // Keep async for consistent interface\n // If fallbacks are explicitly specified, use those\n if (criteria.fallbackModels && criteria.fallbackModels.length > 0) {\n return criteria.fallbackModels.filter((id) => this.catalog.hasModel(id));\n }\n\n // Get the primary model\n const primary = this.catalog.getModel(primaryModel);\n if (!primary) {\n return [];\n }\n\n // Find similar models from the same provider first\n const sameProviderModels = this.catalog\n .getModelsByProvider(primary.provider)\n .filter((m) => m.id !== primaryModel && !m.deprecated)\n .slice(0, 2);\n\n // Then find models with similar capabilities from other providers\n const otherModels = this.catalog\n .filterModels({\n ...criteria,\n capabilities: primary.capabilities,\n excludeDeprecated: true,\n })\n .filter((m) => m.id !== primaryModel && m.provider !== primary.provider)\n .slice(0, 2);\n\n return [...sameProviderModels.map((m) => m.id), ...otherModels.map((m) => m.id)].slice(\n 0,\n criteria.maxFallbacks || 3,\n );\n }\n\n /**\n * Register a custom router\n */\n registerRouter(name: string, router: IRouter): void {\n this.routers.set(name, router);\n this.logger.info(`Custom router registered: ${name}`);\n }\n\n /**\n * Get available strategies\n */\n getAvailableStrategies(): string[] {\n return Array.from(this.routers.keys());\n }\n}\n","/**\n * Simple token counter using approximate heuristics\n * For more accurate counting, consider using tiktoken library\n */\n\nconst CHARS_PER_TOKEN = 4; // OpenAI's rule of thumb\nconst AVG_TOKENS_PER_MESSAGE = 4; // Message formatting overhead\n\nexport interface TokenEstimate {\n tokens: number;\n characters: number;\n method: 'approximate' | 'exact';\n}\n\nexport class TokenCounter {\n /**\n * Estimate tokens for a string\n */\n static estimateTokens(text: string): TokenEstimate {\n const characters = text.length;\n const tokens = Math.ceil(characters / CHARS_PER_TOKEN);\n\n return {\n tokens,\n characters,\n method: 'approximate',\n };\n }\n\n /**\n * Estimate tokens for chat messages\n */\n static estimateMessageTokens(messages: Array<{ role: string; content: string }>): TokenEstimate {\n let totalTokens = 0;\n let totalCharacters = 0;\n\n for (const message of messages) {\n const contentTokens = this.estimateTokens(message.content);\n totalTokens += contentTokens.tokens + AVG_TOKENS_PER_MESSAGE;\n totalCharacters += contentTokens.characters;\n }\n\n return {\n tokens: totalTokens,\n characters: totalCharacters,\n method: 'approximate',\n };\n }\n\n /**\n * Estimate completion cost\n */\n static estimateCost(\n inputTokens: number,\n outputTokens: number,\n inputPrice: number, // per 1M tokens\n outputPrice: number, // per 1M tokens\n ): number {\n const inputCost = (inputTokens / 1_000_000) * inputPrice;\n const outputCost = (outputTokens / 1_000_000) * outputPrice;\n return inputCost + outputCost;\n }\n\n /**\n * Check if text exceeds token limit\n */\n static exceedsLimit(text: string, limit: number): boolean {\n const estimate = this.estimateTokens(text);\n return estimate.tokens > limit;\n }\n\n /**\n * Truncate text to fit within token limit\n */\n static truncateToLimit(text: string, limit: number): string {\n const estimate = this.estimateTokens(text);\n\n if (estimate.tokens <= limit) {\n return text;\n }\n\n const ratio = limit / estimate.tokens;\n const maxChars = Math.floor(text.length * ratio * 0.95); // 5% buffer\n return text.substring(0, maxChars);\n }\n}\n","import { CostEstimate, TokenUsage, CostComparison } from '../types/pricing';\nimport { ModelCatalog } from '../models/ModelCatalog';\nimport { TokenCounter } from '../utils/tokenCounter';\n\nexport class PricingCalculator {\n constructor(private catalog: ModelCatalog) {}\n\n /**\n * Estimate cost for a specific model\n */\n estimateCost(\n modelId: string,\n tokens: TokenUsage | { input: number; output: number },\n ): CostEstimate {\n const model = this.catalog.getModel(modelId);\n\n if (!model) {\n throw new Error(`Model not found: ${modelId}`);\n }\n\n const tokenUsage: TokenUsage =\n 'totalTokens' in tokens\n ? tokens\n : {\n promptTokens: tokens.input,\n completionTokens: tokens.output,\n totalTokens: tokens.input + tokens.output,\n };\n\n const inputCost = (tokenUsage.promptTokens / 1_000_000) * model.pricing.inputTokens;\n const outputCost = (tokenUsage.completionTokens / 1_000_000) * model.pricing.outputTokens;\n const totalCost = inputCost + outputCost;\n\n return {\n inputCost,\n outputCost,\n totalCost,\n currency: model.pricing.currency || 'USD',\n tokenUsage,\n modelId,\n };\n }\n\n /**\n * Estimate cost from text (approximation)\n */\n estimateFromText(\n modelId: string,\n inputText: string,\n estimatedOutputTokens: number,\n ): CostEstimate {\n const inputEstimate = TokenCounter.estimateTokens(inputText);\n\n return this.estimateCost(modelId, {\n input: inputEstimate.tokens,\n output: estimatedOutputTokens,\n });\n }\n\n /**\n * Compare costs across multiple models\n */\n compareModels(\n modelIds: string[],\n tokens: TokenUsage | { input: number; output: number },\n ): CostComparison {\n const estimates = new Map();\n let cheapestId = '';\n let cheapestCost = Infinity;\n let mostExpensiveId = '';\n let mostExpensiveCost = -Infinity;\n let totalCost = 0;\n\n for (const modelId of modelIds) {\n try {\n const estimate = this.estimateCost(modelId, tokens);\n estimates.set(modelId, estimate);\n\n totalCost += estimate.totalCost;\n\n if (estimate.totalCost < cheapestCost) {\n cheapestCost = estimate.totalCost;\n cheapestId = modelId;\n }\n\n if (estimate.totalCost > mostExpensiveCost) {\n mostExpensiveCost = estimate.totalCost;\n mostExpensiveId = modelId;\n }\n } catch {\n // Skip models that don't exist\n continue;\n }\n }\n\n const averageCost = estimates.size > 0 ? totalCost / estimates.size : 0;\n\n // Add savings calculation to each estimate\n estimates.forEach((estimate) => {\n estimate.savingsVsDefault = cheapestCost - estimate.totalCost;\n estimate.percentileCost =\n estimates.size > 0\n ? (Array.from(estimates.values()).filter((e) => e.totalCost <= estimate.totalCost)\n .length /\n estimates.size) *\n 100\n : 0;\n });\n\n return {\n models: estimates,\n cheapest: {\n modelId: cheapestId,\n cost: cheapestCost,\n },\n mostExpensive: {\n modelId: mostExpensiveId,\n cost: mostExpensiveCost,\n },\n averageCost,\n };\n }\n\n /**\n * Get cheapest model for a task\n */\n getCheapestModel(\n modelIds: string[],\n tokens: TokenUsage | { input: number; output: number },\n ): {\n modelId: string;\n estimate: CostEstimate;\n } {\n const comparison = this.compareModels(modelIds, tokens);\n const estimate = comparison.models.get(comparison.cheapest.modelId);\n\n if (!estimate) {\n throw new Error('No valid models found');\n }\n\n return {\n modelId: comparison.cheapest.modelId,\n estimate,\n };\n }\n\n /**\n * Calculate potential savings\n */\n calculateSavings(\n currentModelId: string,\n alternativeModelId: string,\n tokens: TokenUsage | { input: number; output: number },\n ): {\n savings: number;\n savingsPercentage: number;\n currentCost: number;\n alternativeCost: number;\n } {\n const currentCost = this.estimateCost(currentModelId, tokens).totalCost;\n const alternativeCost = this.estimateCost(alternativeModelId, tokens).totalCost;\n const savings = currentCost - alternativeCost;\n const savingsPercentage = currentCost > 0 ? (savings / currentCost) * 100 : 0;\n\n return {\n savings,\n savingsPercentage,\n currentCost,\n alternativeCost,\n };\n }\n}\n","import { UsageRecord, CostSummary } from '../types/pricing';\nimport { EventEmitter } from 'eventemitter3';\n\ninterface CostTrackerEvents {\n 'usage:recorded': (record: UsageRecord) => void;\n 'threshold:exceeded': (\n period: 'daily' | 'monthly' | 'total',\n current: number,\n limit: number,\n ) => void;\n}\n\nexport class CostTracker extends EventEmitter {\n private usageHistory: UsageRecord[] = [];\n private totalCost: number = 0;\n private costByModel: Map = new Map();\n private costByProvider: Map = new Map();\n\n constructor(private retentionDays: number = 30) {\n super();\n this.startCleanupInterval();\n }\n\n /**\n * Record a usage event\n */\n recordUsage(record: UsageRecord): void {\n this.usageHistory.push(record);\n\n // Update totals\n this.totalCost += record.cost.totalCost;\n\n // Update by model\n const modelCost = this.costByModel.get(record.modelId) || 0;\n this.costByModel.set(record.modelId, modelCost + record.cost.totalCost);\n\n // Update by provider\n const providerCost = this.costByProvider.get(record.provider) || 0;\n this.costByProvider.set(record.provider, providerCost + record.cost.totalCost);\n\n this.emit('usage:recorded', record);\n }\n\n /**\n * Get usage summary for a time period\n */\n getSummary(startDate?: Date, endDate?: Date): CostSummary {\n const end = endDate || new Date();\n const start = startDate || new Date(end.getTime() - 30 * 24 * 60 * 60 * 1000); // 30 days ago\n\n const records = this.usageHistory.filter((r) => r.timestamp >= start && r.timestamp <= end);\n\n const totalCost = records.reduce(\n (sum, r) => sum + (isNaN(r.cost.totalCost) ? 0 : r.cost.totalCost),\n 0,\n );\n const totalTokens = records.reduce(\n (sum, r) => sum + (isNaN(r.tokenUsage.totalTokens) ? 0 : r.tokenUsage.totalTokens),\n 0,\n );\n const totalRequests = records.length;\n const averageCostPerRequest = totalRequests > 0 ? totalCost / totalRequests : 0;\n\n const costByModel = new Map();\n const costByProvider = new Map();\n\n for (const record of records) {\n costByModel.set(\n record.modelId,\n (costByModel.get(record.modelId) || 0) + record.cost.totalCost,\n );\n\n costByProvider.set(\n record.provider,\n (costByProvider.get(record.provider) || 0) + record.cost.totalCost,\n );\n }\n\n return {\n totalCost,\n totalRequests,\n totalTokens,\n averageCostPerRequest,\n costByModel,\n costByProvider,\n period: { start, end },\n };\n }\n\n /**\n * Get daily costs\n */\n getDailyCost(date?: Date): number {\n const targetDate = date || new Date();\n const start = new Date(targetDate.getFullYear(), targetDate.getMonth(), targetDate.getDate());\n const end = new Date(start.getTime() + 24 * 60 * 60 * 1000);\n\n return this.usageHistory\n .filter((r) => r.timestamp >= start && r.timestamp < end)\n .reduce((sum, r) => sum + r.cost.totalCost, 0);\n }\n\n /**\n * Get monthly costs\n */\n getMonthlyCost(year?: number, month?: number): number {\n const now = new Date();\n const targetYear = year ?? now.getFullYear();\n const targetMonth = month ?? now.getMonth();\n\n const start = new Date(targetYear, targetMonth, 1);\n const end = new Date(targetYear, targetMonth + 1, 1);\n\n return this.usageHistory\n .filter((r) => r.timestamp >= start && r.timestamp < end)\n .reduce((sum, r) => sum + r.cost.totalCost, 0);\n }\n\n /**\n * Get total cost\n */\n getTotalCost(): number {\n return this.totalCost;\n }\n\n /**\n * Get usage by model\n */\n getUsageByModel(): Map {\n const modelSummaries = new Map();\n\n for (const modelId of this.costByModel.keys()) {\n const records = this.usageHistory.filter((r) => r.modelId === modelId);\n const totalCost = records.reduce((sum, r) => sum + r.cost.totalCost, 0);\n const totalTokens = records.reduce((sum, r) => sum + r.tokenUsage.totalTokens, 0);\n const totalRequests = records.length;\n\n modelSummaries.set(modelId, {\n totalCost,\n totalRequests,\n totalTokens,\n averageCostPerRequest: totalRequests > 0 ? totalCost / totalRequests : 0,\n costByModel: new Map([[modelId, totalCost]]),\n costByProvider: new Map(),\n period: {\n start: records[0]?.timestamp,\n end: records[records.length - 1]?.timestamp,\n },\n });\n }\n\n return modelSummaries;\n }\n\n /**\n * Get usage by provider\n */\n getUsageByProvider(): Map {\n const providerSummaries = new Map();\n\n for (const provider of this.costByProvider.keys()) {\n const records = this.usageHistory.filter((r) => r.provider === provider);\n const totalCost = records.reduce((sum, r) => sum + r.cost.totalCost, 0);\n const totalTokens = records.reduce((sum, r) => sum + r.tokenUsage.totalTokens, 0);\n const totalRequests = records.length;\n\n providerSummaries.set(provider, {\n totalCost,\n totalRequests,\n totalTokens,\n averageCostPerRequest: totalRequests > 0 ? totalCost / totalRequests : 0,\n costByModel: new Map(),\n costByProvider: new Map([[provider, totalCost]]),\n period: {\n start: records[0]?.timestamp,\n end: records[records.length - 1]?.timestamp,\n },\n });\n }\n\n return providerSummaries;\n }\n\n /**\n * Clear old records\n */\n private cleanup(): void {\n const cutoffDate = new Date(Date.now() - this.retentionDays * 24 * 60 * 60 * 1000);\n this.usageHistory = this.usageHistory.filter((r) => r.timestamp >= cutoffDate);\n }\n\n private startCleanupInterval(): void {\n setInterval(() => this.cleanup(), 24 * 60 * 60 * 1000); // Daily cleanup\n }\n\n /**\n * Export usage data\n */\n exportData(): UsageRecord[] {\n return [...this.usageHistory];\n }\n\n /**\n * Reset all tracking data\n */\n reset(): void {\n this.usageHistory = [];\n this.totalCost = 0;\n this.costByModel.clear();\n this.costByProvider.clear();\n }\n}\n","import { z } from 'zod';\n\nexport const ModelCapabilitiesSchema = z.object({\n vision: z.boolean().default(false),\n functionCalling: z.boolean().default(false),\n jsonMode: z.boolean().default(false),\n tools: z.boolean().default(false),\n streaming: z.boolean().default(true),\n codeGeneration: z.boolean().optional(),\n multilingual: z.boolean().optional(),\n});\n\nexport const ModelPricingSchema = z.object({\n inputTokens: z.number().min(0),\n outputTokens: z.number().min(0),\n imageInput: z.number().optional(),\n currency: z.string().default('USD'),\n});\n\nexport const OpenRouterConfigSchema = z.object({\n apiKey: z.string().min(1, 'API key is required'),\n baseURL: z.string().url().default('https://openrouter.ai/api/v1'),\n appName: z.string().optional(),\n httpReferer: z.string().url().optional(),\n defaultModel: z.string().optional(),\n\n timeout: z.number().min(1000).default(30000),\n maxRetries: z.number().min(0).max(10).default(3),\n retryDelay: z.number().min(100).default(1000),\n\n modelSelection: z\n .object({\n strategy: z\n .enum(['cost', 'performance', 'balanced', 'capability', 'custom'])\n .default('balanced'),\n fallbackEnabled: z.boolean().default(true),\n maxFallbacks: z.number().min(0).max(5).default(3),\n autoSelect: z.boolean().default(true),\n })\n .optional(),\n\n budgets: z\n .object({\n daily: z.number().min(0).optional(),\n monthly: z.number().min(0).optional(),\n total: z.number().min(0).optional(),\n alertThreshold: z.number().min(0).max(1).default(0.8),\n })\n .optional(),\n\n cache: z\n .object({\n enabled: z.boolean().default(true),\n ttl: z.number().min(0).default(600000), // 10 minutes\n maxSize: z.number().min(0).default(1000),\n })\n .optional(),\n\n logging: z\n .object({\n enabled: z.boolean().default(true),\n level: z.enum(['debug', 'info', 'warn', 'error']).default('info'),\n })\n .optional(),\n});\n\nexport const SendOptionsSchema = z.object({\n model: z.string().optional(),\n temperature: z.number().min(0).max(2).optional(),\n maxTokens: z.number().min(1).optional(),\n topP: z.number().min(0).max(1).optional(),\n stream: z.boolean().optional(),\n functions: z.array(z.any()).optional(),\n tools: z.array(z.any()).optional(),\n responseFormat: z.object({ type: z.enum(['text', 'json_object']) }).optional(),\n metadata: z.record(z.string(), z.unknown()).optional(),\n});\n\nexport const SelectionCriteriaSchema = z.object({\n providers: z.array(z.string()).optional(),\n capabilities: ModelCapabilitiesSchema.partial().optional(),\n maxCost: z.number().min(0).optional(),\n minContextWindow: z.number().min(0).optional(),\n modality: z.enum(['text', 'multimodal']).optional(),\n excludeDeprecated: z.boolean().default(true),\n tags: z.array(z.string()).optional(),\n tier: z.enum(['budget', 'balanced', 'premium']).optional(),\n fallbackModels: z.array(z.string()).optional(),\n preferredProviders: z.array(z.string()).optional(),\n excludeProviders: z.array(z.string()).optional(),\n strategy: z.enum(['cost', 'performance', 'balanced', 'capability', 'custom']).optional(),\n});\n\nexport type ValidatedConfig = z.infer;\nexport type ValidatedSendOptions = z.infer;\nexport type ValidatedSelectionCriteria = z.infer;\n","import { z } from 'zod';\nimport {\n OpenRouterConfigSchema,\n SendOptionsSchema,\n SelectionCriteriaSchema,\n} from '../config/schema';\nimport { InvalidRequestError } from './errors';\n\nexport class Validator {\n static validateConfig(config: unknown) {\n try {\n return OpenRouterConfigSchema.parse(config);\n } catch (error) {\n if (error instanceof z.ZodError) {\n const messages = error.issues\n .map((e: z.ZodIssue) => `${e.path.join('.')}: ${e.message}`)\n .join(', ');\n throw new InvalidRequestError(`Invalid configuration: ${messages}`, {\n errors: error.issues,\n });\n }\n throw error;\n }\n }\n\n static validateSendOptions(options: unknown) {\n try {\n return SendOptionsSchema.parse(options);\n } catch (error) {\n if (error instanceof z.ZodError) {\n const messages = error.issues\n .map((e: z.ZodIssue) => `${e.path.join('.')}: ${e.message}`)\n .join(', ');\n throw new InvalidRequestError(`Invalid send options: ${messages}`, {\n errors: error.issues,\n });\n }\n throw error;\n }\n }\n\n static validateSelectionCriteria(criteria: unknown) {\n try {\n return SelectionCriteriaSchema.parse(criteria);\n } catch (error) {\n if (error instanceof z.ZodError) {\n const messages = error.issues\n .map((e: z.ZodIssue) => `${e.path.join('.')}: ${e.message}`)\n .join(', ');\n throw new InvalidRequestError(`Invalid selection criteria: ${messages}`, {\n errors: error.issues,\n });\n }\n throw error;\n }\n }\n\n static validateApiKey(apiKey: string): void {\n if (!apiKey || typeof apiKey !== 'string') {\n throw new InvalidRequestError('API key must be a non-empty string');\n }\n\n if (apiKey.length < 10) {\n throw new InvalidRequestError('API key appears to be invalid (too short)');\n }\n }\n\n static validateMessages(messages: any[]): void {\n if (!Array.isArray(messages) || messages.length === 0) {\n throw new InvalidRequestError('Messages must be a non-empty array');\n }\n\n for (const message of messages) {\n if (!message.role || !message.content) {\n throw new InvalidRequestError('Each message must have a role and content');\n }\n\n if (!['system', 'user', 'assistant', 'function', 'tool'].includes(message.role)) {\n throw new InvalidRequestError(`Invalid message role: ${message.role}`);\n }\n }\n }\n}\n","import { EventEmitter } from 'eventemitter3';\nimport { OpenRouterConfig } from '../types/config';\nimport { SendOptions, ClientEvents } from '../types/client';\nimport { ChatMessage, ChatCompletionResponse, StreamChunk } from '../types/api';\nimport { TokenUsage } from '../types/pricing';\nimport { HttpClient } from '../http/HttpClient';\nimport { RetryPolicy } from '../http/RetryPolicy';\nimport { CircuitBreaker } from '../http/CircuitBreaker';\nimport { OpenRouterAPI } from '../api/OpenRouterAPI';\nimport { ModelSelector } from '../models/ModelSelector';\nimport { ModelCatalog } from '../models/ModelCatalog';\nimport { PricingCalculator } from '../pricing/PricingCalculator';\nimport { CostTracker } from '../pricing/CostTracker';\nimport { TokenCounter } from '../utils/tokenCounter';\nimport { Logger } from '../utils/logger';\nimport { Validator } from '../utils/validation';\nimport { DEFAULT_CONFIG, RETRY_STATUS_CODES } from '../config/defaults';\nimport { BudgetExceededError } from '../utils/errors';\n\nexport class OpenRouterClient extends EventEmitter {\n private httpClient: HttpClient;\n private retryPolicy: RetryPolicy;\n private circuitBreaker: CircuitBreaker;\n private api: OpenRouterAPI;\n private modelSelector: ModelSelector;\n private catalog: ModelCatalog;\n private pricingCalculator: PricingCalculator;\n private costTracker: CostTracker;\n private logger: Logger;\n private config: OpenRouterConfig;\n\n constructor(config: OpenRouterConfig) {\n super();\n\n // Validate configuration\n Validator.validateApiKey(config.apiKey);\n this.config = { ...DEFAULT_CONFIG, ...config };\n\n // Initialize logger\n this.logger = new Logger({\n enabled: this.config.logging?.enabled ?? true,\n level: this.config.logging?.level ?? 'info',\n });\n\n // Initialize HTTP layer\n this.httpClient = new HttpClient(this.config, this.logger);\n\n this.retryPolicy = new RetryPolicy(\n {\n maxAttempts: this.config.maxRetries ?? 3,\n baseDelay: this.config.retryDelay ?? 1000,\n maxDelay: 30000,\n exponential: true,\n retryableStatusCodes: RETRY_STATUS_CODES,\n },\n this.logger,\n );\n\n this.circuitBreaker = new CircuitBreaker(\n {\n failureThreshold: 5,\n resetTimeout: 60000,\n monitorInterval: 5000,\n },\n this.logger,\n );\n\n // Initialize API\n this.api = new OpenRouterAPI(this.httpClient, this.logger);\n\n // Initialize model management\n this.catalog = new ModelCatalog();\n this.modelSelector = new ModelSelector(this.catalog, this.logger);\n\n // Initialize pricing\n this.pricingCalculator = new PricingCalculator(this.catalog);\n this.costTracker = new CostTracker();\n\n this.setupEventListeners();\n }\n\n /**\n * Send a message to OpenRouter\n */\n async sendMessage(\n message: string | ChatMessage[],\n options: SendOptions = {},\n ): Promise {\n const messages = this.normalizeMessages(message);\n Validator.validateMessages(messages);\n\n // Select model\n const modelId = await this.selectModel(options);\n\n this.logger.info('Sending message', { model: modelId, messageCount: messages.length });\n\n // Check budget\n await this.checkBudget(modelId, messages);\n\n // Build request\n const request = this.buildRequest(modelId, messages, options);\n\n // Send with retry and circuit breaker\n const response = await this.executeWithResilience(async () => {\n return await this.api.createChatCompletion(request);\n });\n\n // Track cost\n this.trackCost(modelId, response, messages);\n\n this.emit('message:received', response);\n return response;\n }\n\n /**\n * Stream a message response\n */\n async *streamMessage(\n message: string | ChatMessage[],\n options: SendOptions = {},\n ): AsyncIterable {\n const messages = this.normalizeMessages(message);\n Validator.validateMessages(messages);\n\n const modelId = await this.selectModel(options);\n\n this.logger.info('Starting stream', { model: modelId, messageCount: messages.length });\n\n await this.checkBudget(modelId, messages);\n\n const request = this.buildRequest(modelId, messages, { ...options, stream: true });\n\n this.emit('stream:start', request.model);\n\n try {\n for await (const chunk of this.api.createStreamingChatCompletion(request)) {\n this.emit('stream:chunk', chunk);\n yield chunk;\n }\n\n this.emit('stream:end', request.model);\n } catch (error) {\n this.emit('stream:error', error as Error);\n throw error;\n }\n }\n\n /**\n * List available models\n */\n async listModels() {\n return this.api.listModels();\n }\n\n /**\n * Get model catalog\n */\n getModelCatalog(): ModelCatalog {\n return this.catalog;\n }\n\n /**\n * Get pricing calculator\n */\n getPricingCalculator(): PricingCalculator {\n return this.pricingCalculator;\n }\n\n /**\n * Get cost tracker\n */\n getCostTracker(): CostTracker {\n return this.costTracker;\n }\n\n /**\n * Get model selector\n */\n getModelSelector(): ModelSelector {\n return this.modelSelector;\n }\n\n /**\n * Destroy client and cleanup resources\n */\n destroy(): void {\n this.httpClient.destroy();\n this.circuitBreaker.destroy();\n this.removeAllListeners();\n }\n\n // Private methods\n\n private normalizeMessages(message: string | ChatMessage[]): ChatMessage[] {\n if (typeof message === 'string') {\n return [{ role: 'user', content: message }];\n }\n return message;\n }\n\n private async selectModel(options: SendOptions): Promise {\n // Explicit model specified\n if (options.model) {\n this.logger.debug('Using explicitly specified model', { model: options.model });\n return options.model;\n }\n\n // Use default model if configured\n if (this.config.defaultModel) {\n this.logger.debug('Using default model', { model: this.config.defaultModel });\n return this.config.defaultModel;\n }\n\n // Auto-select based on criteria\n if (this.config.modelSelection?.autoSelect) {\n const query = options.modelSelection ? JSON.stringify(options.modelSelection) : '';\n const result = await this.modelSelector.selectModel(query, {\n strategy: this.config.modelSelection.strategy,\n ...options.modelSelection,\n });\n\n this.emit('model:selected', result.modelId, result.reason);\n return result.modelId;\n }\n\n // Fallback to Claude 3.5 Sonnet\n return 'anthropic/claude-3.5-sonnet';\n }\n\n private buildRequest(modelId: string, messages: ChatMessage[], options: SendOptions) {\n return {\n model: modelId,\n messages,\n temperature: options.temperature,\n max_tokens: options.maxTokens,\n top_p: options.topP,\n stream: options.stream,\n functions: options.functions,\n tools: options.tools,\n response_format: options.responseFormat,\n };\n }\n\n private async checkBudget(modelId: string, messages: ChatMessage[]): Promise {\n await Promise.resolve(); // Keep async for future extensibility\n if (!this.config.budgets) return;\n\n const { daily, monthly, total, alertThreshold } = this.config.budgets;\n\n // Estimate cost\n const inputText = messages\n .map((m) => (typeof m.content === 'string' ? m.content : JSON.stringify(m.content)))\n .join(' ');\n\n const estimate = this.pricingCalculator.estimateFromText(modelId, inputText, 500);\n\n // Check budgets\n if (daily) {\n const currentDaily = this.costTracker.getDailyCost();\n const projectedDaily = currentDaily + estimate.totalCost;\n\n if (projectedDaily > daily) {\n throw new BudgetExceededError(projectedDaily, daily, 'daily');\n }\n\n if (projectedDaily / daily >= (alertThreshold || 0.8)) {\n this.emit('budget:warning', projectedDaily, daily);\n }\n }\n\n if (monthly) {\n const currentMonthly = this.costTracker.getMonthlyCost();\n const projectedMonthly = currentMonthly + estimate.totalCost;\n\n if (projectedMonthly > monthly) {\n throw new BudgetExceededError(projectedMonthly, monthly, 'monthly');\n }\n\n if (projectedMonthly / monthly >= (alertThreshold || 0.8)) {\n this.emit('budget:warning', projectedMonthly, monthly);\n }\n }\n\n if (total) {\n const currentTotal = this.costTracker.getTotalCost();\n const projectedTotal = currentTotal + estimate.totalCost;\n\n if (projectedTotal > total) {\n throw new BudgetExceededError(projectedTotal, total, 'total');\n }\n\n if (projectedTotal / total >= (alertThreshold || 0.8)) {\n this.emit('budget:warning', projectedTotal, total);\n }\n }\n }\n\n private trackCost(\n modelId: string,\n response: ChatCompletionResponse,\n messages: ChatMessage[],\n ): void {\n const model = this.catalog.getModel(modelId);\n if (!model) return;\n\n let tokenUsage: TokenUsage;\n\n if (response.usage) {\n // Use actual usage from API\n tokenUsage = response.usage;\n } else {\n // Estimate usage when not provided by API\n const simpleMessages = messages.map((msg) => ({\n role: msg.role,\n content:\n typeof msg.content === 'string'\n ? msg.content\n : Array.isArray(msg.content)\n ? msg.content.map((c) => (c.type === 'text' ? c.text : '[image]')).join(' ')\n : '',\n }));\n const inputEstimate = TokenCounter.estimateMessageTokens(simpleMessages);\n const outputText = response.choices[0]?.message?.content;\n const outputContent =\n typeof outputText === 'string'\n ? outputText\n : Array.isArray(outputText)\n ? outputText.map((c) => (c.type === 'text' ? c.text : '[image]')).join(' ')\n : '';\n const outputEstimate = TokenCounter.estimateTokens(outputContent);\n\n tokenUsage = {\n promptTokens: Math.max(0, inputEstimate.tokens || 0),\n completionTokens: Math.max(0, outputEstimate.tokens || 0),\n totalTokens: Math.max(0, (inputEstimate.tokens || 0) + (outputEstimate.tokens || 0)),\n };\n }\n\n try {\n const estimate = this.pricingCalculator.estimateCost(modelId, tokenUsage);\n\n this.costTracker.recordUsage({\n timestamp: new Date(),\n modelId,\n provider: model.provider,\n tokenUsage,\n cost: estimate,\n requestId: response.id || 'unknown',\n success: true,\n });\n\n this.emit('cost:tracked', estimate.totalCost, modelId);\n } catch (error) {\n this.logger.warn('Failed to track cost', {\n error: error instanceof Error ? error.message : String(error),\n modelId,\n });\n }\n }\n\n private async executeWithResilience(operation: () => Promise): Promise {\n return this.retryPolicy.execute(async () => {\n return this.circuitBreaker.execute(operation);\n });\n }\n\n private setupEventListeners(): void {\n this.circuitBreaker.on('circuit:opened', (failures) => {\n this.logger.warn('Circuit breaker opened', { failures });\n });\n\n this.circuitBreaker.on('circuit:closed', () => {\n this.logger.info('Circuit breaker closed (recovered)');\n });\n\n this.costTracker.on('usage:recorded', (record) => {\n this.logger.debug('Usage recorded', {\n model: record.modelId,\n cost: record.cost.totalCost,\n tokens: record.tokenUsage.totalTokens,\n });\n });\n }\n}\n"]}