unlimited-ai/dist/index.cjs.map

Fast, minimal Node.js wrapper for the Voids API AI chat completions.

{"version":3,"file":"index.cjs","names":["streamRequest"],"sources":["../src/config.ts","../src/utils.ts","../src/generate.ts","../src/models.ts","../src/search.ts","../src/client.ts"],"sourcesContent":["export const config = {\n  API_URL: 'https://api.voids.top/v1/chat/completions',\n  MODELS_URL: 'https://api.voids.top/v1/models',\n} as const;\n\nexport type Config = typeof config;\n","import type { Message } from './types.js';\n\nconst VALID_ROLES = new Set<string>(['system', 'user', 'assistant']);\n\nexport function isValidMessage(msg: unknown): msg is Message {\n  return (\n    typeof msg === 'object' &&\n    msg !== null &&\n    'role' in msg &&\n    'content' in msg &&\n    VALID_ROLES.has((msg as Record<string, unknown>)['role'] as string) &&\n    typeof (msg as Record<string, unknown>)['content'] === 'string'\n  );\n}\n\nexport function validateMessage(message: unknown): asserts message is Message {\n  if (!isValidMessage(message)) {\n    throw new TypeError(\"message must be { role: 'system'|'user'|'assistant', content: string }.\");\n  }\n}\n\nexport function validateMessages(messages: unknown): asserts messages is Message[] {\n  if (!Array.isArray(messages) || !messages.every(isValidMessage)) {\n    throw new TypeError(\n      \"messages must be an array of { role: 'system'|'user'|'assistant', content: string }.\",\n    );\n  }\n}\n","import ky from 'ky';\nimport { config } from './config.js';\nimport { validateMessages } from './utils.js';\nimport type { CompletionResponse, Message, StreamChunk } from './types.js';\n\nexport async function generate(\n  model: string,\n  messages: Message[],\n  raw: true,\n): Promise<CompletionResponse>;\nexport async function generate(model: string, messages: Message[], raw?: false): Promise<string>;\nexport async function generate(\n  model: string,\n  messages: Message[],\n  raw = false,\n): Promise<string | CompletionResponse> {\n  if (typeof model !== 'string' || model.length === 0) {\n    throw new TypeError('model must be a non-empty string.');\n  }\n  validateMessages(messages);\n\n  const data = await ky\n    .post(config.API_URL, { json: { model, messages } })\n    .json<CompletionResponse>();\n  return raw ? data : (data.choices[0]?.message.content ?? '');\n}\n\nexport async function* stream(model: string, messages: Message[]): AsyncGenerator<string> {\n  if (typeof model !== 'string' || model.length === 0) {\n    throw new TypeError('model must be a non-empty string.');\n  }\n  validateMessages(messages);\n\n  const response = await ky.post(config.API_URL, {\n    json: { model, messages, stream: true },\n    timeout: false,\n  });\n\n  const { body } = response;\n  if (!body) throw new Error('Response body is null.');\n\n  const reader = body.getReader();\n  const decoder = new TextDecoder();\n  let buffer = '';\n\n  try {\n    while (true) {\n      const { done, value } = await reader.read();\n      if (done) break;\n\n      buffer += decoder.decode(value, { stream: true });\n      const lines = buffer.split('\\n');\n      buffer = lines.pop() ?? '';\n\n      for (const line of lines) {\n        const trimmed = line.trimEnd();\n        if (!trimmed.startsWith('data: ')) continue;\n        const data = trimmed.slice(6);\n        if (data === '[DONE]') return;\n\n        try {\n          const chunk = JSON.parse(data) as StreamChunk;\n          const content = chunk.choices[0]?.delta.content;\n          if (content) yield content;\n        } catch {\n          // skip malformed chunks\n        }\n      }\n    }\n  } finally {\n    reader.releaseLock();\n  }\n}\n\nexport async function ask(model: string, prompt: string, system?: string): Promise<string> {\n  const messages: Message[] = [];\n  if (system !== undefined) messages.push({ role: 'system', content: system });\n  messages.push({ role: 'user', content: prompt });\n  return generate(model, messages);\n}\n","import ky from 'ky';\nimport { config } from './config.js';\nimport type { ModelListResponse } from './types.js';\n\nexport async function models(): Promise<string[]> {\n  const data = await ky.get(config.MODELS_URL).json<ModelListResponse>();\n  return data.data.map((d) => d.id);\n}\n","import { closeWords } from 'closewords';\nimport { models } from './models.js';\n\nexport async function searchModels(word: string): Promise<string[]> {\n  if (typeof word !== 'string') throw new TypeError('word must be a string.');\n  const data = await models();\n  return closeWords(word, data);\n}\n","import { generate, stream as streamRequest } from './generate.js';\nimport { searchModels } from './search.js';\nimport { validateMessage, validateMessages } from './utils.js';\nimport type { CompletionResponse, ConversationStore, Message } from './types.js';\n\nexport class AI {\n  private model = '';\n  private messages: Message[] = [];\n  private useSearch = false;\n  private conversationMap = new Map<string, Message[]>();\n  private activeConversationId: string | null = null;\n\n  constructor(init?: { model?: string; messages?: Message[]; system?: string }) {\n    if (init?.model !== undefined) {\n      if (typeof init.model !== 'string' || init.model.length === 0) {\n        throw new TypeError('model must be a non-empty string.');\n      }\n      this.model = init.model;\n    }\n    if (init?.messages !== undefined) {\n      validateMessages(init.messages);\n      this.messages = [...init.messages];\n    }\n    if (init?.system !== undefined) {\n      if (typeof init.system !== 'string') throw new TypeError('system must be a string.');\n      this.messages.unshift({ role: 'system', content: init.system });\n    }\n  }\n\n  setModel(model: string, search = false): this {\n    if (typeof model !== 'string' || model.length === 0) {\n      throw new TypeError('model must be a non-empty string.');\n    }\n    this.model = model;\n    this.useSearch = search;\n    return this;\n  }\n\n  setMessages(messages: Message[]): this {\n    validateMessages(messages);\n    this.messages = [...messages];\n    return this;\n  }\n\n  addMessage(message: Message): this {\n    validateMessage(message);\n    this.messages.push(message);\n    return this;\n  }\n\n  removeMessage(index: number): this {\n    if (!Number.isInteger(index)) throw new TypeError('index must be an integer.');\n    if (index < 0 || index >= this.messages.length) {\n      throw new RangeError(`index out of bounds. Valid range: 0 to ${this.messages.length - 1}.`);\n    }\n    this.messages.splice(index, 1);\n    return this;\n  }\n\n  clearMessages(): this {\n    this.messages = [];\n    return this;\n  }\n\n  setSystem(content: string): this {\n    if (typeof content !== 'string') throw new TypeError('content must be a string.');\n    const idx = this.messages.findIndex((m) => m.role === 'system');\n    if (idx !== -1) {\n      this.messages.splice(idx, 1);\n    }\n    this.messages.unshift({ role: 'system', content });\n    return this;\n  }\n\n  // --- Conversation management ---\n\n  useConversation(id: string | null): this {\n    if (id !== null && (typeof id !== 'string' || id.length === 0)) {\n      throw new TypeError('id must be a non-empty string.');\n    }\n    this.activeConversationId = id;\n    if (id !== null && !this.conversationMap.has(id)) {\n      this.conversationMap.set(id, []);\n    }\n    return this;\n  }\n\n  listConversations(): string[] {\n    return [...this.conversationMap.keys()];\n  }\n\n  getConversationMessages(id: string): Message[] {\n    return [...(this.conversationMap.get(id) ?? [])];\n  }\n\n  clearConversation(id: string): this {\n    if (this.conversationMap.has(id)) {\n      this.conversationMap.set(id, []);\n    }\n    return this;\n  }\n\n  deleteConversation(id: string): this {\n    this.conversationMap.delete(id);\n    return this;\n  }\n\n  exportConversations(id: string): Message[];\n  exportConversations(): ConversationStore;\n  exportConversations(id?: string): ConversationStore | Message[] {\n    if (id !== undefined) {\n      return [...(this.conversationMap.get(id) ?? [])];\n    }\n    const result: ConversationStore = {};\n    for (const [key, messages] of this.conversationMap) {\n      result[key] = [...messages];\n    }\n    return result;\n  }\n\n  importConversations(data: ConversationStore, replace = false): this {\n    if (replace) this.conversationMap.clear();\n    for (const [id, messages] of Object.entries(data)) {\n      validateMessages(messages);\n      this.conversationMap.set(id, [...messages]);\n    }\n    return this;\n  }\n\n  // --- Core ---\n\n  async generate(raw: true): Promise<CompletionResponse>;\n  async generate(raw?: false): Promise<string>;\n  async generate(raw?: boolean): Promise<string | CompletionResponse> {\n    if (!this.model) throw new Error('model is not set. Call setModel() first.');\n    if (this.messages.length === 0) {\n      throw new Error('messages are empty. Call addMessage() or setMessages() first.');\n    }\n    const model = this.useSearch ? ((await searchModels(this.model))[0] ?? this.model) : this.model;\n    if (raw) return generate(model, this.messages, true);\n    return generate(model, this.messages);\n  }\n\n  async ask(prompt: string, conversationId?: string): Promise<string> {\n    if (typeof prompt !== 'string') throw new TypeError('prompt must be a string.');\n    if (!this.model) throw new Error('model is not set. Call setModel() first.');\n\n    const id = conversationId ?? this.activeConversationId;\n    const model = this.useSearch ? ((await searchModels(this.model))[0] ?? this.model) : this.model;\n\n    if (id !== null) {\n      if (!this.conversationMap.has(id)) this.conversationMap.set(id, []);\n      const history = this.conversationMap.get(id)!;\n      history.push({ role: 'user', content: prompt });\n      const reply = await generate(model, [...this.messages, ...history]);\n      history.push({ role: 'assistant', content: reply });\n      return reply;\n    }\n\n    // Stateless: use static context + prompt, save nothing\n    return generate(model, [...this.messages, { role: 'user', content: prompt }]);\n  }\n\n  async *stream(prompt: string, conversationId?: string): AsyncGenerator<string> {\n    if (typeof prompt !== 'string') throw new TypeError('prompt must be a string.');\n    if (!this.model) throw new Error('model is not set. Call setModel() first.');\n\n    const id = conversationId ?? this.activeConversationId;\n    const model = this.useSearch ? ((await searchModels(this.model))[0] ?? this.model) : this.model;\n\n    if (id !== null) {\n      if (!this.conversationMap.has(id)) this.conversationMap.set(id, []);\n      const history = this.conversationMap.get(id)!;\n      history.push({ role: 'user', content: prompt });\n      let fullReply = '';\n      for await (const chunk of streamRequest(model, [...this.messages, ...history])) {\n        fullReply += chunk;\n        yield chunk;\n      }\n      history.push({ role: 'assistant', content: fullReply });\n    } else {\n      // Stateless: use static context + prompt, save nothing\n      for await (const chunk of streamRequest(model, [\n        ...this.messages,\n        { role: 'user', content: prompt },\n      ])) {\n        yield chunk;\n      }\n    }\n  }\n\n  getFormat(): { model: string; messages: Message[] } {\n    return { model: this.model, messages: [...this.messages] };\n  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