LibreChat/api/server/routes/endpoints/schemas.js

const { z } = require('zod');

const EModelEndpoint = {
  azureOpenAI: 'azureOpenAI',
  openAI: 'openAI',
  bingAI: 'bingAI',
  chatGPTBrowser: 'chatGPTBrowser',
  google: 'google',
  gptPlugins: 'gptPlugins',
  anthropic: 'anthropic',
  assistant: 'assistant',
};

const alternateName = {
  [EModelEndpoint.openAI]: 'OpenAI',
  [EModelEndpoint.assistant]: 'Assistants',
  [EModelEndpoint.azureOpenAI]: 'Azure OpenAI',
  [EModelEndpoint.bingAI]: 'Bing',
  [EModelEndpoint.chatGPTBrowser]: 'ChatGPT',
  [EModelEndpoint.gptPlugins]: 'Plugins',
  [EModelEndpoint.google]: 'PaLM',
  [EModelEndpoint.anthropic]: 'Anthropic',
};

const supportsFiles = {
  [EModelEndpoint.openAI]: true,
  [EModelEndpoint.assistant]: true,
};

const openAIModels = [
  'gpt-3.5-turbo-16k-0613',
  'gpt-3.5-turbo-16k',
  'gpt-4-1106-preview',
  'gpt-3.5-turbo',
  'gpt-3.5-turbo-1106',
  'gpt-4-vision-preview',
  'gpt-4',
  'gpt-3.5-turbo-instruct-0914',
  'gpt-3.5-turbo-0613',
  'gpt-3.5-turbo-0301',
  'gpt-3.5-turbo-instruct',
  'gpt-4-0613',
  'text-davinci-003',
  'gpt-4-0314',
];

const visionModels = ['gpt-4-vision', 'llava-13b'];

const eModelEndpointSchema = z.nativeEnum(EModelEndpoint);

const tPluginAuthConfigSchema = z.object({
  authField: z.string(),
  label: z.string(),
  description: z.string(),
});

const tPluginSchema = z.object({
  name: z.string(),
  pluginKey: z.string(),
  description: z.string(),
  icon: z.string(),
  authConfig: z.array(tPluginAuthConfigSchema),
  authenticated: z.boolean().optional(),
  isButton: z.boolean().optional(),
});

const tExampleSchema = z.object({
  input: z.object({
    content: z.string(),
  }),
  output: z.object({
    content: z.string(),
  }),
});

const tAgentOptionsSchema = z.object({
  agent: z.string(),
  skipCompletion: z.boolean(),
  model: z.string(),
  temperature: z.number(),
});

const tConversationSchema = z.object({
  conversationId: z.string().nullable(),
  title: z.string().nullable().or(z.literal('New Chat')).default('New Chat'),
  user: z.string().optional(),
  endpoint: eModelEndpointSchema.nullable(),
  suggestions: z.array(z.string()).optional(),
  messages: z.array(z.string()).optional(),
  tools: z.array(tPluginSchema).optional(),
  createdAt: z.string(),
  updatedAt: z.string(),
  systemMessage: z.string().nullable().optional(),
  modelLabel: z.string().nullable().optional(),
  examples: z.array(tExampleSchema).optional(),
  chatGptLabel: z.string().nullable().optional(),
  userLabel: z.string().optional(),
  model: z.string().nullable().optional(),
  promptPrefix: z.string().nullable().optional(),
  temperature: z.number().optional(),
  topP: z.number().optional(),
  topK: z.number().optional(),
  context: z.string().nullable().optional(),
  top_p: z.number().optional(),
  frequency_penalty: z.number().optional(),
  presence_penalty: z.number().optional(),
  jailbreak: z.boolean().optional(),
  jailbreakConversationId: z.string().nullable().optional(),
  conversationSignature: z.string().nullable().optional(),
  parentMessageId: z.string().optional(),
  clientId: z.string().nullable().optional(),
  invocationId: z.number().nullable().optional(),
  toneStyle: z.string().nullable().optional(),
  maxOutputTokens: z.number().optional(),
  agentOptions: tAgentOptionsSchema.nullable().optional(),
});

const openAISchema = tConversationSchema
  .pick({
    model: true,
    chatGptLabel: true,
    promptPrefix: true,
    temperature: true,
    top_p: true,
    presence_penalty: true,
    frequency_penalty: true,
  })
  .transform((obj) => ({
    ...obj,
    model: obj.model ?? 'gpt-3.5-turbo',
    chatGptLabel: obj.chatGptLabel ?? null,
    promptPrefix: obj.promptPrefix ?? null,
    temperature: obj.temperature ?? 1,
    top_p: obj.top_p ?? 1,
    presence_penalty: obj.presence_penalty ?? 0,
    frequency_penalty: obj.frequency_penalty ?? 0,
  }))
  .catch(() => ({
    model: 'gpt-3.5-turbo',
    chatGptLabel: null,
    promptPrefix: null,
    temperature: 1,
    top_p: 1,
    presence_penalty: 0,
    frequency_penalty: 0,
  }));

const googleSchema = tConversationSchema
  .pick({
    model: true,
    modelLabel: true,
    promptPrefix: true,
    examples: true,
    temperature: true,
    maxOutputTokens: true,
    topP: true,
    topK: true,
  })
  .transform((obj) => ({
    ...obj,
    model: obj.model ?? 'chat-bison',
    modelLabel: obj.modelLabel ?? null,
    promptPrefix: obj.promptPrefix ?? null,
    temperature: obj.temperature ?? 0.2,
    maxOutputTokens: obj.maxOutputTokens ?? 1024,
    topP: obj.topP ?? 0.95,
    topK: obj.topK ?? 40,
  }))
  .catch(() => ({
    model: 'chat-bison',
    modelLabel: null,
    promptPrefix: null,
    temperature: 0.2,
    maxOutputTokens: 1024,
    topP: 0.95,
    topK: 40,
  }));

const bingAISchema = tConversationSchema
  .pick({
    jailbreak: true,
    systemMessage: true,
    context: true,
    toneStyle: true,
    jailbreakConversationId: true,
    conversationSignature: true,
    clientId: true,
    invocationId: true,
  })
  .transform((obj) => ({
    ...obj,
    model: '',
    jailbreak: obj.jailbreak ?? false,
    systemMessage: obj.systemMessage ?? null,
    context: obj.context ?? null,
    toneStyle: obj.toneStyle ?? 'creative',
    jailbreakConversationId: obj.jailbreakConversationId ?? null,
    conversationSignature: obj.conversationSignature ?? null,
    clientId: obj.clientId ?? null,
    invocationId: obj.invocationId ?? 1,
  }))
  .catch(() => ({
    model: '',
    jailbreak: false,
    systemMessage: null,
    context: null,
    toneStyle: 'creative',
    jailbreakConversationId: null,
    conversationSignature: null,
    clientId: null,
    invocationId: 1,
  }));

const anthropicSchema = tConversationSchema
  .pick({
    model: true,
    modelLabel: true,
    promptPrefix: true,
    temperature: true,
    maxOutputTokens: true,
    topP: true,
    topK: true,
  })
  .transform((obj) => ({
    ...obj,
    model: obj.model ?? 'claude-1',
    modelLabel: obj.modelLabel ?? null,
    promptPrefix: obj.promptPrefix ?? null,
    temperature: obj.temperature ?? 1,
    maxOutputTokens: obj.maxOutputTokens ?? 4000,
    topP: obj.topP ?? 0.7,
    topK: obj.topK ?? 5,
  }))
  .catch(() => ({
    model: 'claude-1',
    modelLabel: null,
    promptPrefix: null,
    temperature: 1,
    maxOutputTokens: 4000,
    topP: 0.7,
    topK: 5,
  }));

const chatGPTBrowserSchema = tConversationSchema
  .pick({
    model: true,
  })
  .transform((obj) => ({
    ...obj,
    model: obj.model ?? 'text-davinci-002-render-sha',
  }))
  .catch(() => ({
    model: 'text-davinci-002-render-sha',
  }));

const gptPluginsSchema = tConversationSchema
  .pick({
    model: true,
    chatGptLabel: true,
    promptPrefix: true,
    temperature: true,
    top_p: true,
    presence_penalty: true,
    frequency_penalty: true,
    tools: true,
    agentOptions: true,
  })
  .transform((obj) => ({
    ...obj,
    model: obj.model ?? 'gpt-3.5-turbo',
    chatGptLabel: obj.chatGptLabel ?? null,
    promptPrefix: obj.promptPrefix ?? null,
    temperature: obj.temperature ?? 0.8,
    top_p: obj.top_p ?? 1,
    presence_penalty: obj.presence_penalty ?? 0,
    frequency_penalty: obj.frequency_penalty ?? 0,
    tools: obj.tools ?? [],
    agentOptions: obj.agentOptions ?? {
      agent: 'functions',
      skipCompletion: true,
      model: 'gpt-3.5-turbo',
      temperature: 0,
    },
  }))
  .catch(() => ({
    model: 'gpt-3.5-turbo',
    chatGptLabel: null,
    promptPrefix: null,
    temperature: 0.8,
    top_p: 1,
    presence_penalty: 0,
    frequency_penalty: 0,
    tools: [],
    agentOptions: {
      agent: 'functions',
      skipCompletion: true,
      model: 'gpt-3.5-turbo',
      temperature: 0,
    },
  }));

const assistantSchema = tConversationSchema
  .pick({
    model: true,
    assistant_id: true,
    thread_id: true,
  })
  .transform((obj) => {
    const newObj = { ...obj };
    Object.keys(newObj).forEach((key) => {
      const value = newObj[key];
      if (value === undefined || value === null) {
        delete newObj[key];
      }
    });
    return newObj;
  })
  .catch(() => ({}));

const endpointSchemas = {
  [EModelEndpoint.openAI]: openAISchema,
  [EModelEndpoint.assistant]: assistantSchema,
  [EModelEndpoint.azureOpenAI]: openAISchema,
  [EModelEndpoint.google]: googleSchema,
  [EModelEndpoint.bingAI]: bingAISchema,
  [EModelEndpoint.anthropic]: anthropicSchema,
  [EModelEndpoint.chatGPTBrowser]: chatGPTBrowserSchema,
  [EModelEndpoint.gptPlugins]: gptPluginsSchema,
};

function getFirstDefinedValue(possibleValues) {
  let returnValue;
  for (const value of possibleValues) {
    if (value) {
      returnValue = value;
      break;
    }
  }
  return returnValue;
}

const parseConvo = (endpoint, conversation, possibleValues) => {
  const schema = endpointSchemas[endpoint];

  if (!schema) {
    throw new Error(`Unknown endpoint: ${endpoint}`);
  }

  const convo = schema.parse(conversation);

  if (possibleValues && convo) {
    convo.model = getFirstDefinedValue(possibleValues.model) ?? convo.model;
  }

  return convo;
};

const getResponseSender = (endpointOption) => {
  const { model, endpoint, chatGptLabel, modelLabel, jailbreak } = endpointOption;

  if (
    [
      EModelEndpoint.openAI,
      EModelEndpoint.azureOpenAI,
      EModelEndpoint.gptPlugins,
      EModelEndpoint.chatGPTBrowser,
    ].includes(endpoint)
  ) {
    if (chatGptLabel) {
      return chatGptLabel;
    } else if (model && model.includes('gpt-3')) {
      return 'GPT-3.5';
    } else if (model && model.includes('gpt-4')) {
      return 'GPT-4';
    }
    return alternateName[endpoint] ?? 'ChatGPT';
  }

  if (endpoint === EModelEndpoint.bingAI) {
    return jailbreak ? 'Sydney' : 'BingAI';
  }

  if (endpoint === EModelEndpoint.anthropic) {
    return modelLabel ?? 'Anthropic';
  }

  if (endpoint === EModelEndpoint.google) {
    return modelLabel ?? 'PaLM2';
  }

  return '';
};

module.exports = {
  parseConvo,
  getResponseSender,
  EModelEndpoint,
  supportsFiles,
  openAIModels,
  visionModels,
  alternateName,
};