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https://github.com/danny-avila/LibreChat.git
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* WIP(backend/api): custom endpoint * WIP(frontend/client): custom endpoint * chore: adjust typedefs for configs * refactor: use data-provider for cache keys and rename enums and custom endpoint for better clarity and compatibility * feat: loadYaml utility * refactor: rename back to from and proof-of-concept for creating schemas from user-defined defaults * refactor: remove custom endpoint from default endpointsConfig as it will be exclusively managed by yaml config * refactor(EndpointController): rename variables for clarity * feat: initial load custom config * feat(server/utils): add simple `isUserProvided` helper * chore(types): update TConfig type * refactor: remove custom endpoint handling from model services as will be handled by config, modularize fetching of models * feat: loadCustomConfig, loadConfigEndpoints, loadConfigModels * chore: reorganize server init imports, invoke loadCustomConfig * refactor(loadConfigEndpoints/Models): return each custom endpoint as standalone endpoint * refactor(Endpoint/ModelController): spread config values after default (temporary) * chore(client): fix type issues * WIP: first pass for multiple custom endpoints - add endpointType to Conversation schema - add update zod schemas for both convo/presets to allow non-EModelEndpoint value as endpoint (also using type assertion) - use `endpointType` value as `endpoint` where mapping to type is necessary using this field - use custom defined `endpoint` value and not type for mapping to modelsConfig - misc: add return type to `getDefaultEndpoint` - in `useNewConvo`, add the endpointType if it wasn't already added to conversation - EndpointsMenu: use user-defined endpoint name as Title in menu - TODO: custom icon via custom config, change unknown to robot icon * refactor(parseConvo): pass args as an object and change where used accordingly; chore: comment out 'create schema' code * chore: remove unused availableModels field in TConfig type * refactor(parseCompactConvo): pass args as an object and change where used accordingly * feat: chat through custom endpoint * chore(message/convoSchemas): avoid saving empty arrays * fix(BaseClient/saveMessageToDatabase): save endpointType * refactor(ChatRoute): show Spinner if endpointsQuery or modelsQuery are still loading, which is apparent with slow fetching of models/remote config on first serve * fix(useConversation): assign endpointType if it's missing * fix(SaveAsPreset): pass real endpoint and endpointType when saving Preset) * chore: recorganize types order for TConfig, add `iconURL` * feat: custom endpoint icon support: - use UnknownIcon in all icon contexts - add mistral and openrouter as known endpoints, and add their icons - iconURL support * fix(presetSchema): move endpointType to default schema definitions shared between convoSchema and defaults * refactor(Settings/OpenAI): remove legacy `isOpenAI` flag * fix(OpenAIClient): do not invoke abortCompletion on completion error * feat: add responseSender/label support for custom endpoints: - use defaultModelLabel field in endpointOption - add model defaults for custom endpoints in `getResponseSender` - add `useGetSender` hook which uses EndpointsQuery to determine `defaultModelLabel` - include defaultModelLabel from endpointConfig in custom endpoint client options - pass `endpointType` to `getResponseSender` * feat(OpenAIClient): use custom options from config file * refactor: rename `defaultModelLabel` to `modelDisplayLabel` * refactor(data-provider): separate concerns from `schemas` into `parsers`, `config`, and fix imports elsewhere * feat: `iconURL` and extract environment variables from custom endpoint config values * feat: custom config validation via zod schema, rename and move to `./projectRoot/librechat.yaml` * docs: custom config docs and examples * fix(OpenAIClient/mistral): mistral does not allow singular system message, also add `useChatCompletion` flag to use openai-node for title completions * fix(custom/initializeClient): extract env var and use `isUserProvided` function * Update librechat.example.yaml * feat(InputWithLabel): add className props, and forwardRef * fix(streamResponse): handle error edge case where either messages or convos query throws an error * fix(useSSE): handle errorHandler edge cases where error response is and is not properly formatted from API, especially when a conversationId is not yet provided, which ensures stream is properly closed on error * feat: user_provided keys for custom endpoints * fix(config/endpointSchema): do not allow default endpoint values in custom endpoint `name` * feat(loadConfigModels): extract env variables and optimize fetching models * feat: support custom endpoint iconURL for messages and Nav * feat(OpenAIClient): add/dropParams support * docs: update docs with default params, add/dropParams, and notes to use config file instead of `OPENAI_REVERSE_PROXY` * docs: update docs with additional notes * feat(maxTokensMap): add mistral models (32k context) * docs: update openrouter notes * Update ai_setup.md * docs(custom_config): add table of contents and fix note about custom name * docs(custom_config): reorder ToC * Update custom_config.md * Add note about `max_tokens` field in custom_config.md
95 lines
2.6 KiB
JavaScript
95 lines
2.6 KiB
JavaScript
const crypto = require('crypto');
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const { parseConvo } = require('librechat-data-provider');
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const { saveMessage, getMessages } = require('~/models/Message');
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const { getConvo } = require('~/models/Conversation');
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const { logger } = require('~/config');
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/**
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* Sends error data in Server Sent Events format and ends the response.
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* @param {object} res - The server response.
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* @param {string} message - The error message.
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*/
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const handleError = (res, message) => {
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res.write(`event: error\ndata: ${JSON.stringify(message)}\n\n`);
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res.end();
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};
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/**
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* Sends message data in Server Sent Events format.
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* @param {object} res - - The server response.
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* @param {string} message - The message to be sent.
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* @param {'message' | 'error' | 'cancel'} event - [Optional] The type of event. Default is 'message'.
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*/
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const sendMessage = (res, message, event = 'message') => {
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if (message.length === 0) {
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return;
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}
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res.write(`event: ${event}\ndata: ${JSON.stringify(message)}\n\n`);
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};
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/**
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* Processes an error with provided options, saves the error message and sends a corresponding SSE response
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* @async
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* @param {object} res - The server response.
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* @param {object} options - The options for handling the error containing message properties.
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* @param {function} callback - [Optional] The callback function to be executed.
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*/
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const sendError = async (res, options, callback) => {
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const {
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user,
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sender,
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conversationId,
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messageId,
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parentMessageId,
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text,
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shouldSaveMessage,
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overrideProps = {},
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} = options;
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const errorMessage = {
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sender,
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messageId: messageId ?? crypto.randomUUID(),
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conversationId,
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parentMessageId,
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unfinished: false,
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error: true,
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final: true,
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text,
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isCreatedByUser: false,
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...overrideProps,
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};
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if (callback && typeof callback === 'function') {
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await callback();
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}
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if (shouldSaveMessage) {
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await saveMessage({ ...errorMessage, user });
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}
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if (!errorMessage.error) {
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const requestMessage = { messageId: parentMessageId, conversationId };
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let query = [],
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convo = {};
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try {
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query = await getMessages(requestMessage);
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convo = await getConvo(user, conversationId);
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} catch (err) {
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logger.error('[sendError] Error retrieving conversation data:', err);
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convo = parseConvo(errorMessage);
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}
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return sendMessage(res, {
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final: true,
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requestMessage: query?.[0] ? query[0] : requestMessage,
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responseMessage: errorMessage,
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conversation: convo,
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});
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}
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handleError(res, errorMessage);
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};
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module.exports = {
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handleError,
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sendMessage,
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sendError,
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};
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