LibreChat/api/server/utils/streamResponse.js
Danny Avila 29473a72db
💫 feat: Config File & Custom Endpoints (#1474)
* 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
2024-01-03 09:22:48 -05:00

95 lines
2.6 KiB
JavaScript

const crypto = require('crypto');
const { parseConvo } = require('librechat-data-provider');
const { saveMessage, getMessages } = require('~/models/Message');
const { getConvo } = require('~/models/Conversation');
const { logger } = require('~/config');
/**
* Sends error data in Server Sent Events format and ends the response.
* @param {object} res - The server response.
* @param {string} message - The error message.
*/
const handleError = (res, message) => {
res.write(`event: error\ndata: ${JSON.stringify(message)}\n\n`);
res.end();
};
/**
* Sends message data in Server Sent Events format.
* @param {object} res - - The server response.
* @param {string} message - The message to be sent.
* @param {'message' | 'error' | 'cancel'} event - [Optional] The type of event. Default is 'message'.
*/
const sendMessage = (res, message, event = 'message') => {
if (message.length === 0) {
return;
}
res.write(`event: ${event}\ndata: ${JSON.stringify(message)}\n\n`);
};
/**
* Processes an error with provided options, saves the error message and sends a corresponding SSE response
* @async
* @param {object} res - The server response.
* @param {object} options - The options for handling the error containing message properties.
* @param {function} callback - [Optional] The callback function to be executed.
*/
const sendError = async (res, options, callback) => {
const {
user,
sender,
conversationId,
messageId,
parentMessageId,
text,
shouldSaveMessage,
overrideProps = {},
} = options;
const errorMessage = {
sender,
messageId: messageId ?? crypto.randomUUID(),
conversationId,
parentMessageId,
unfinished: false,
error: true,
final: true,
text,
isCreatedByUser: false,
...overrideProps,
};
if (callback && typeof callback === 'function') {
await callback();
}
if (shouldSaveMessage) {
await saveMessage({ ...errorMessage, user });
}
if (!errorMessage.error) {
const requestMessage = { messageId: parentMessageId, conversationId };
let query = [],
convo = {};
try {
query = await getMessages(requestMessage);
convo = await getConvo(user, conversationId);
} catch (err) {
logger.error('[sendError] Error retrieving conversation data:', err);
convo = parseConvo(errorMessage);
}
return sendMessage(res, {
final: true,
requestMessage: query?.[0] ? query[0] : requestMessage,
responseMessage: errorMessage,
conversation: convo,
});
}
handleError(res, errorMessage);
};
module.exports = {
handleError,
sendMessage,
sendError,
};