@prexo/ai-chat-sdk
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AI Chat SDK for building AI chat applications with Context and History
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This file is automatically updated during the build process\n// Do not edit manually\n\nexport const SDK_VERSION = \"1.0.1-beta.1\";\nexport const SDK_NAME = \"@prexo/ai-chat-sdk\";\n","import type { TelementryEvents } from \"../types\";\nimport { SDK_VERSION } from \"../version\";\n\nexport type TelementryOptions = {\n enabled?: boolean;\n ingestionKey?: string;\n};\n\n// Static cache for ingestion key per endpoint+domain\nconst ingestionKeyCache: Record<string, Promise<string>> = {};\n\n// Auto-detect SDK version\nfunction getSDKVersion(): string {\n try {\n // Try to get from process.env (works in Node.js)\n if (typeof process !== \"undefined\" && process.env?.PREXO_SDK_VERSION) {\n return process.env.PREXO_SDK_VERSION;\n }\n\n // Try to get from window (works in browser with injected globals)\n if (\n typeof window !== \"undefined\" &&\n (window as any).__PREXO_SDK_VERSION__\n ) {\n return (window as any).__PREXO_SDK_VERSION__;\n }\n\n // Try to get from globalThis (works in modern environments)\n if (\n typeof globalThis !== \"undefined\" &&\n (globalThis as any).__PREXO_SDK_VERSION__\n ) {\n return (globalThis as any).__PREXO_SDK_VERSION__;\n }\n\n // Use the version from the version file (default fallback)\n return SDK_VERSION;\n } catch {\n return SDK_VERSION;\n }\n}\n\nfunction getCacheKey(endpoint: string, domain: string) {\n return `${endpoint}::${domain}`;\n}\n\nexport class Telementry {\n private enabled: boolean;\n private endpoint: string;\n private ingestionKey?: string;\n private sdkVersion: string;\n private ingestionKeyPromise?: Promise<string>;\n\n constructor(options: TelementryOptions) {\n const envDisabled =\n typeof process !== \"undefined\" && process.env?.DISABLE_TELEMETRY === \"1\";\n\n this.enabled = options.enabled ?? !envDisabled;\n this.endpoint =\n typeof process !== \"undefined\" &&\n process.env &&\n process.env.NODE_ENV === \"development\"\n ? \"http://localhost:3001/v1/telementry\"\n : \"https://api.prexoai.xyz/v1/telementry\";\n\n 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\"https://api.prexoai.xyz/v1/telementry/key\";\n try {\n const res = await fetch(keyEndpoint, {\n method: \"POST\",\n credentials: \"include\",\n headers: {\n \"Content-Type\": \"application/json\",\n },\n body: JSON.stringify({ domain }),\n });\n if (!res.ok) {\n throw new Error(\"Failed to fetch ingestion key\");\n }\n const data = await res.json();\n // Assume the key is in data.key\n return data.key || \"prexoai-ingest-key\";\n } catch {\n // fallback to default\n return \"prexoai-ingest-key\";\n }\n }\n\n /**\n * Returns a string with browser details using the Navigator API.\n * See: https://developer.mozilla.org/en-US/docs/Web/API/Navigator\n */\n private detectBrowser(): string {\n if (typeof window !== \"undefined\" && typeof navigator !== \"undefined\") {\n const userAgent = navigator.userAgent || \"unknown\";\n const appVersion = navigator.appVersion || \"unknown\";\n const vendor = (navigator as any).vendor || \"unknown\";\n const language = (navigator as any).language || \"unknown\";\n const platform = (navigator as any).platform || \"unknown\";\n const cookieEnabled =\n (navigator as any).cookieEnabled !== undefined\n ? String((navigator as any).cookieEnabled)\n : \"unknown\";\n const hardwareConcurrency =\n (navigator as any).hardwareConcurrency !== undefined\n ? String((navigator as any).hardwareConcurrency)\n : \"unknown\";\n const deviceMemory =\n (navigator as any).deviceMemory !== undefined\n ? String((navigator as any).deviceMemory)\n : \"unknown\";\n return [\n `UserAgent: ${userAgent}`,\n `AppVersion: ${appVersion}`,\n `Vendor: ${vendor}`,\n `Language: ${language}`,\n `Platform: ${platform}`,\n `CookieEnabled: ${cookieEnabled}`,\n `HardwareConcurrency: ${hardwareConcurrency}`,\n `DeviceMemory: ${deviceMemory}`,\n ].join(\"; \");\n }\n // Fallback for non-browser environments\n return \"not-browser\";\n }\n\n /**\n * Returns the platform/OS using the Navigator API if available.\n * See: https://developer.mozilla.org/en-US/docs/Web/API/Navigator/platform\n */\n private detectPlatform(): string {\n if (\n typeof navigator !== \"undefined\" &&\n typeof navigator.platform === \"string\"\n ) {\n return navigator.platform || \"unknown\";\n }\n if (\n typeof process !== \"undefined\" &&\n typeof process.platform === \"string\"\n ) {\n return process.platform;\n }\n return \"unknown\";\n }\n\n\n async send<K extends keyof TelementryEvents>(\n event: K,\n properties: TelementryEvents[K],\n ) {\n if (!this.enabled) return;\n\n // Ensure ingestionKey is available\n let ingestionKey = this.ingestionKey;\n if (!ingestionKey) {\n if (!this.ingestionKeyPromise) {\n // Use the static cache to avoid spamming /key endpoint\n this.ingestionKeyPromise = this.fetchIngestionKeyCached();\n }\n ingestionKey = await this.ingestionKeyPromise;\n this.ingestionKey = ingestionKey; // cache for future\n }\n\n const payload = {\n event,\n properties: {\n ...properties,\n sdkVersion: this.sdkVersion,\n browser: this.detectBrowser(),\n platform: this.detectPlatform(),\n timestamp: new Date().toISOString(),\n },\n };\n\n try {\n await fetch(this.endpoint, {\n method: \"POST\",\n credentials: \"include\",\n headers: {\n \"Content-Type\": \"application/json\",\n \"x-ingest-key\": ingestionKey,\n },\n body: JSON.stringify(payload),\n });\n } catch {\n // never throw\n }\n }\n}\n","// Constants for the AI Chat SDK\nexport const DEFAULT_CHAT_SESSION_ID = (id?: string) =>\n `prexo-chat-session/${id ? id : \"default\"}`;\n\nexport const DEFAULT_HISTORY_LENGTH = 50;\nexport const DEFAULT_HISTORY_TTL = 86_400;\n\nexport const DEFAULT_MSG_ID = `msg-${Date.now().toString()}`;\nexport const DEFAULT_SIMILARITY_THRESHOLD = 0.5;\nexport const DEFAULT_TOP_K = 5;\n","import Firecrawl from '@mendable/firecrawl-js';\n\n// Lazily initialize Firecrawl only when an API key is available.\n// This avoids throwing during client-side bundles where process.env is not present.\nlet firecrawlClient: Firecrawl | undefined;\n\nfunction getFirecrawlApiKey(): string | undefined {\n try {\n // In Node/bundler environments, process may exist\n if (typeof process !== 'undefined' && process.env && process.env.FIRECRAWL_API_KEY) {\n return process.env.FIRECRAWL_API_KEY;\n }\n } catch {\n // ignore\n }\n return undefined;\n}\n\nfunction getFirecrawl(): Firecrawl | undefined {\n const key = getFirecrawlApiKey();\n if (!key) return undefined;\n if (!firecrawlClient) {\n firecrawlClient = new Firecrawl({ apiKey: key });\n }\n return firecrawlClient;\n}\n\nexport async function scrapeContent(url: string) {\n const client = getFirecrawl();\n if (!client) {\n throw new Error(\"Firecrawl is not configured. Set FIRECRAWL_API_KEY on the server to enable scraping.\");\n }\n const data = await client.scrape(url, { formats: ['markdown', 'summary'] });\n return data;\n}","import type {\n AddContextPayload,\n ResetOptions,\n SaveOperationResult,\n VectorPayload,\n} from \"../types\";\nimport { DEFAULT_SIMILARITY_THRESHOLD, DEFAULT_TOP_K } from \"../lib/constants\";\nimport type { Index } from \"@upstash/vector\";\nimport { nanoid } from \"nanoid\";\nimport { scrapeContent } from \"../lib/firecrawl\";\n\n// Helper function to chunk text\nfunction chunkText(text: string, chunkSize = 500, overlap = 50): string[] {\n const chunks: string[] = [];\n for (let i = 0; i < text.length; i += chunkSize - overlap) {\n chunks.push(text.slice(i, i + chunkSize));\n }\n return chunks;\n}\n\nexport class VectorDB {\n private index: Index;\n constructor(index: Index) {\n this.index = index;\n }\n\n async reset(options?: ResetOptions) {\n await this.index.reset({ namespace: options?.namespace });\n }\n\n async delete({ ids, namespace }: { ids: string[]; namespace?: string }) {\n await this.index.delete(ids, { namespace });\n }\n\n /**\n * A method that allows you to query the vector database with plain text.\n * It takes care of the text-to-embedding conversion by itself.\n * Additionally, it lets consumers pass various options to tweak the output.\n */\n // eslint-disable-next-line @typescript-eslint/no-unnecessary-type-parameters\n async retrieve<TMetadata>({\n question,\n similarityThreshold = DEFAULT_SIMILARITY_THRESHOLD,\n topK = DEFAULT_TOP_K,\n namespace,\n contextFilter,\n queryMode,\n }: VectorPayload): Promise<\n { data: string; id: string; metadata: TMetadata }[]\n > {\n const index = this.index;\n const result = await index.query<Record<string, string>>(\n {\n ...(typeof question === \"string\"\n ? { data: question }\n : { vector: question }),\n topK,\n includeData: true,\n includeMetadata: true,\n ...(typeof contextFilter === \"string\" && { filter: contextFilter }),\n queryMode,\n },\n { namespace },\n );\n console.log(\"Vector Retrive: \", result)\n const allValuesUndefined = result.every(\n (embedding) => embedding.data === undefined,\n );\n\n if (allValuesUndefined) {\n console.error(\n \"There is no answer for this question in the provided context.\",\n );\n\n return [\n {\n data: \"There is no answer for this question in the provided context.\",\n id: \"error\",\n metadata: {} as TMetadata,\n },\n ];\n }\n\n const facts = result\n .filter((x) => x.score >= similarityThreshold)\n .map((embedding) => ({\n data: embedding.data ?? \"\",\n id: embedding.id.toString(),\n metadata: embedding.metadata as TMetadata,\n }));\n\n return facts;\n }\n\n /**\n * A method that allows you to add various data types into a vector database.\n * It supports plain text, embeddings, PDF, HTML, Text file and CSV. Additionally, it handles text-splitting for CSV, PDF and Text file.\n */\n async save(input: AddContextPayload): Promise<SaveOperationResult> {\n const { namespace } = input.options ?? {};\n if (input.type === \"text\") {\n try {\n const returnId = input.id ?? nanoid();\n await this.index.upsert(\n {\n data: input.data,\n id: returnId,\n metadata: input.options?.metadata,\n },\n { namespace },\n );\n\n return { success: true, ids: [returnId.toString()] };\n } catch (error) {\n return {\n success: false,\n error: JSON.stringify(error, Object.getOwnPropertyNames(error)),\n };\n }\n } else if (input.type === \"embedding\") {\n try {\n const returnId = input.id ?? nanoid();\n await this.index.upsert(\n {\n vector: input.data,\n data: input.text,\n id: returnId,\n metadata: input.options?.metadata,\n },\n { namespace },\n );\n\n return { success: true, ids: [returnId.toString()] };\n } catch (error) {\n return {\n success: false,\n error: JSON.stringify(error, Object.getOwnPropertyNames(error)),\n };\n }\n } else {\n try {\n // Determine the file source (string path or URL)\n let fileSource: string | undefined = undefined;\n if (\"fileSource\" in input && typeof input.fileSource === \"string\") {\n fileSource = input.fileSource;\n } else if (\"source\" in input && typeof input.source === \"string\") {\n fileSource = input.source;\n }\n if (!fileSource) {\n throw new Error(\"No valid file source provided for extractText\");\n }\n\n // extractText should return a string (the extracted text)\n const res = await scrapeContent(fileSource);\n if (!res?.markdown && !res?.summary) {\n throw new Error(\"Failed to extract data from the provided source\");\n }\n\n // chunk the extracted text\n const transformArgs = \"config\" in input ? input.config : {};\n // If transformArgs has chunkSize/overlap, use them, else default\n const chunkSize =\n (transformArgs && (transformArgs as any).chunkSize) || 500;\n const overlap =\n (transformArgs && (transformArgs as any).overlap) || 100;\n\n // Prefer markdown for chunking; fallbacks for possible shapes\n const markdown =\n (res as any).markdown ??\n (res as any)?.output?.markdown ??\n (res as any)?.output?.txt ??\n \"\";\n const summary =\n (res as any).summary ?? (res as any)?.output?.summary;\n\n const chunks = chunkText(markdown, chunkSize, overlap);\n\n // upsert each chunk\n const ids: string[] = [];\n for (const chunk of chunks) {\n const id = nanoid();\n await this.index.upsert(\n {\n data: chunk,\n id,\n metadata: {\n ...(input.options?.metadata ?? {}),\n ...(summary ? { summary } : {}),\n },\n },\n { namespace },\n );\n ids.push(id);\n }\n\n return { success: true, ids };\n } catch (error) {\n console.error(error);\n return {\n success: false,\n error: JSON.stringify(error, Object.getOwnPropertyNames(error)),\n };\n }\n }\n }\n}\n","import { Index } from \"@upstash/vector\";\nimport { VectorDB } from \"./vector-db\";\nimport type {\n AddContextPayload,\n VectorPayload,\n SaveOperationResult,\n} from \"../types\";\n\nexport type ExtVectorConfig = {\n url: string;\n token: string;\n};\n\nexport class ExtVector {\n private vectorDB: VectorDB;\n private namespace: string;\n\n constructor(config: ExtVectorConfig, namespace: string) {\n const index = new Index({\n url: config.url,\n token: config.token,\n });\n this.vectorDB = new VectorDB(index);\n this.namespace = namespace;\n }\n\n async addContext(input: AddContextPayload): Promise<SaveOperationResult> {\n // Always use the provided namespace\n if (!input.options) input.options = {};\n input.options.namespace = this.namespace;\n return this.vectorDB.save(input);\n }\n\n async removeContext(ids: string[]): Promise<void> {\n await this.vectorDB.delete({ ids, namespace: this.namespace });\n }\n\n async getContext<TMetadata>(\n payload: Omit<VectorPayload, \"namespace\">,\n ): Promise<{ data: string; id: string; metadata: TMetadata }[]> {\n return this.vectorDB.retrieve<TMetadata>({\n ...payload,\n namespace: this.namespace,\n });\n }\n\n async resetContext(): Promise<void> {\n await this.vectorDB.reset({ namespace: this.namespace });\n }\n}\n","\"use client\";\nimport type { BaseVectorContext, GetContextClientParams } from \"../types\";\nimport { ExtVector } from \"./ext-vector\";\n\nexport const getContextClient = (\n params?: GetContextClientParams,\n): BaseVectorContext | undefined => {\n const vectorUrl = params?.vector?.url;\n const vectorToken = params?.vector?.token;\n // Prefer container_id as namespace, fallback to provided vector.namespace\n const namespace = params?.vector?.namespace;\n\n if (vectorUrl && vectorToken && namespace) {\n return new ExtVector({ url: vectorUrl, token: vectorToken }, namespace);\n }\n};\n","import { Redis, type RedisConfigNodejs } from \"@upstash/redis\";\nimport type { Message } from \"ai\";\nimport {\n DEFAULT_CHAT_SESSION_ID,\n DEFAULT_HISTORY_LENGTH,\n DEFAULT_HISTORY_TTL,\n} from \"../lib/constants\";\nimport type { BaseMessageHistory } from \"../types\";\n\nexport type RedisHistoryConfig = {\n config?: RedisConfigNodejs;\n client?: Redis;\n};\n\nexport class InRedisHistory implements BaseMessageHistory {\n public client: Redis;\n\n constructor(config: RedisHistoryConfig) {\n const { config: redisConfig, client } = config;\n\n if (client) {\n this.client = client;\n } else if (redisConfig) {\n this.client = new Redis(redisConfig);\n } else {\n throw new Error(\n \"Redis message stores require either a config object or a pre-configured client.\",\n );\n }\n }\n\n async addMessage(params: {\n message: Message;\n sessionId: string;\n sessionTTL?: number;\n }): Promise<void> {\n const { message, sessionId, sessionTTL } = params;\n let TTL = DEFAULT_HISTORY_TTL;\n if (sessionTTL) {\n TTL = sessionTTL;\n }\n const sessionID = DEFAULT_CHAT_SESSION_ID(sessionId);\n\n await this.client.lpush(sessionID, JSON.stringify(message));\n if (sessionTTL) {\n await this.client.expire(sessionID, TTL);\n }\n }\n\n async deleteMessages({ sessionId }: { sessionId: string }): Promise<void> {\n await this.client.del(sessionId);\n }\n\n async getMessages({\n sessionId,\n amount = DEFAULT_HISTORY_LENGTH,\n startIndex = 0,\n }: {\n sessionId: string;\n amount?: number;\n startIndex?: number;\n }): Promise<Message[]> {\n const sessionID = DEFAULT_CHAT_SESSION_ID(sessionId);\n const endIndex = startIndex + amount - 1;\n const messages = await this.client.lrange<Message>(\n sessionID,\n startIndex,\n endIndex,\n );\n return messages.reverse();\n }\n}\n","\"use client\";\nimport type { BaseMessageHistory } from \"../types\";\nimport { InRedisHistory } from \"./in-redis\";\n\nexport type GetHistoryClientParams = {\n redis?: {\n url: string;\n token: string;\n };\n};\n\nexport const getHistoryClient = (\n params?: GetHistoryClientParams,\n): BaseMessageHistory | undefined => {\n const redisUrl = params?.redis?.url;\n const redisToken = params?.redis?.token;\n\n if (redisUrl && redisToken) {\n return new InRedisHistory({\n config: {\n url: redisUrl,\n token: redisToken,\n },\n });\n }\n};\n","// AI Chat SDK - Main Entry Point\n// This SDK provides AI chat functionality with persistent history and vector context\n\n// Import all components\nimport { Telementry } from \"./telemetry\";\nimport { getContextClient, VectorDB, ExtVector } from \"./context\";\nimport { getHistoryClient, InRedisHistory } from \"./history\";\n\n// Import centralized types and version info\nimport type {\n TelementryOptions,\n GetContextClientParams,\n GetHistoryClientParams,\n ExtVectorConfig,\n RedisHistoryConfig,\n SDKConfig,\n SDKStatus,\n EventName,\n EventProperties,\n VectorContextResult,\n BaseMessageHistory,\n} from \"./types\";\nimport { SDK_VERSION, SDK_NAME } from \"./version\";\n\n// Re-export all components\nexport {\n Telementry,\n getContextClient,\n getHistoryClient,\n VectorDB,\n ExtVector,\n InRedisHistory,\n};\n\n// Re-export constants\nexport {\n DEFAULT_CHAT_SESSION_ID,\n DEFAULT_HISTORY_LENGTH,\n DEFAULT_HISTORY_TTL,\n DEFAULT_MSG_ID,\n DEFAULT_SIMILARITY_THRESHOLD,\n DEFAULT_TOP_K,\n} from \"./lib/constants\";\n\n// Re-export all types\nexport type {\n TelementryOptions,\n GetContextClientParams,\n GetHistoryClientParams,\n ExtVectorConfig,\n RedisHistoryConfig,\n SDKConfig,\n SDKStatus,\n EventName,\n EventProperties,\n VectorContextResult,\n BaseMessageHistory,\n};\n\n// Export version information\nexport { SDK_VERSION, SDK_NAME };\n\n/**\n * AI Chat SDK - Main class for configuring and managing AI chat functionality\n *\n * @example\n * ```typescript\n * // Professional usage - recommended approach\n * const sdk = new AIChatSDK({\n * telemetry: { enabled: true },\n * context: {\n * vector: {\n * url: 'https://your-vector-db.upstash.io',\n * token: 'your-token',\n * namespace: 'your-namespace'\n * }\n * }\n * });\n *\n * // Use the configured clients\n * const contextClient = sdk.getContextClient();\n * const historyClient = sdk.getHistoryClient();\n * ```\n */\nexport class AIChatSDK {\n private telemetry?: Telementry;\n private contextClient?: ReturnType<typeof getContextClient>;\n private historyClient?: ReturnType<typeof getHistoryClient>;\n\n /**\n * Creates a new AIChatSDK instance with the specified configuration\n *\n * @param config - Configuration options for telemetry, context, and history\n *\n * @example\n * ```typescript\n * const sdk = new AIChatSDK({\n * telemetry: { enabled: true },\n * context: { vector: { url: '...', token: '...', namespace: '...' } },\n * history: { redis: { url: '...', token: '...' } }\n * });\n * ```\n */\n constructor(config?: SDKConfig) {\n if (config?.telemetry) {\n this.telemetry = new Telementry(config.telemetry);\n }\n\n if (config?.context) {\n this.contextClient = getContextClient(config.context);\n }\n\n if (config?.history) {\n this.historyClient = getHistoryClient(config.history);\n }\n }\n\n /**\n * Get the configured telemetry instance\n */\n getTelemetry(): Telementry | undefined {\n return this.telemetry;\n }\n\n /**\n * Get the configured context client\n */\n getContextClient() {\n return this.contextClient;\n }\n\n /**\n * Get the configured history client\n */\n getHistoryClient() {\n return this.historyClient;\n }\n\n /**\n * Send a telemetry event if telemetry is enabled\n */\n async trackEvent(\n event: EventName,\n properties: EventProperties,\n ): Promise<void> {\n if (this.telemetry) {\n await this.telemetry.send(event as any, properties as any);\n }\n }\n\n /**\n * Check if the SDK is properly configured\n */\n isConfigured(): boolean {\n return !!(this.contextClient || this.historyClient);\n }\n\n /**\n * Get SDK configuration status\n */\n getConfigurationStatus(): SDKStatus {\n return {\n telemetry: !!this.telemetry,\n context: !!this.contextClient,\n history: !!this.historyClient,\n };\n }\n\n /**\n * Get SDK version information\n */\n getVersionInfo(): { version: string; name: string } {\n return {\n version: SDK_VERSION,\n name: SDK_NAME,\n };\n }\n\n /**\n * Reset all configured clients\n */\n reset(): void {\n this.telemetry = undefined;\n this.contextClient = undefined;\n this.historyClient = undefined;\n }\n\n /**\n * Update SDK configuration\n */\n updateConfig(config: SDKConfig): void {\n this.reset();\n\n if (config.telemetry) {\n this.telemetry = new Telementry(config.telemetry);\n }\n\n if (config.context) {\n this.contextClient = getContextClient(config.context);\n }\n\n if (config.history) {\n this.historyClient = getHistoryClient(config.history);\n }\n }\n}\n\n// Alternative convenience function (for backward compatibility)\nexport function createAIChatSDK(config?: SDKConfig): AIChatSDK {\n return new AIChatSDK(config);\n}\n\n// Utility functions for direct access to components\nexport function createTelemetry(options: TelementryOptions): Telementry {\n return new Telementry(options);\n}\n\nexport function createContextClient(params: GetContextClientParams) {\n return getContextClient(params);\n}\n\nexport function createHistoryClient(params?: GetHistoryClientParams) {\n return getHistoryClient(params);\n}\n\n// Default export for convenience\nexport default AIChatSDK;"]}