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https://github.com/danny-avila/LibreChat.git
synced 2026-02-01 07:11:50 +01:00
🤖 refactor: Remove Default Model Params for All Endpoints (#3682)
* refactor: use parseCompactConvo in buildOptions, and generate no default values for the API to avoid weird model behavior with defaults * refactor: OTHER - always show cursor when markdown component is empty (preferable to not) * refactor(OpenAISettings): use config object for setting defaults app-wide * refactor: Use removeNullishValues in buildOptions for ALL endpoints * fix: add missing conversationId to title methods for transactions; refactor(GoogleClient): model options, set no default, add todo note for recording token usage * fix: at minimum set a model default, as is required by API (edge case)
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parent
d3a20357e9
commit
683702d555
19 changed files with 169 additions and 141 deletions
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@ -83,11 +83,13 @@ class AnthropicClient extends BaseClient {
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this.options = options;
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}
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const modelOptions = this.options.modelOptions || {};
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this.modelOptions = {
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...modelOptions,
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model: modelOptions.model || anthropicSettings.model.default,
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};
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this.modelOptions = Object.assign(
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{
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model: anthropicSettings.model.default,
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},
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this.modelOptions,
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this.options.modelOptions,
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);
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const modelMatch = matchModelName(this.modelOptions.model, EModelEndpoint.anthropic);
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this.isClaude3 = modelMatch.startsWith('claude-3');
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@ -120,19 +120,7 @@ class GoogleClient extends BaseClient {
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.filter((ex) => ex)
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.filter((obj) => obj.input.content !== '' && obj.output.content !== '');
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const modelOptions = this.options.modelOptions || {};
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this.modelOptions = {
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...modelOptions,
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// set some good defaults (check for undefined in some cases because they may be 0)
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model: modelOptions.model || settings.model.default,
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temperature:
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typeof modelOptions.temperature === 'undefined'
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? settings.temperature.default
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: modelOptions.temperature,
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topP: typeof modelOptions.topP === 'undefined' ? settings.topP.default : modelOptions.topP,
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topK: typeof modelOptions.topK === 'undefined' ? settings.topK.default : modelOptions.topK,
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// stop: modelOptions.stop // no stop method for now
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};
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this.modelOptions = this.options.modelOptions || {};
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this.options.attachments?.then((attachments) => this.checkVisionRequest(attachments));
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@ -808,7 +796,7 @@ class GoogleClient extends BaseClient {
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});
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reply = titleResponse.content;
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// TODO: RECORD TOKEN USAGE
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return reply;
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}
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}
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@ -6,6 +6,7 @@ const {
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ImageDetail,
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EModelEndpoint,
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resolveHeaders,
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openAISettings,
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ImageDetailCost,
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CohereConstants,
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getResponseSender,
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@ -85,26 +86,13 @@ class OpenAIClient extends BaseClient {
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this.apiKey = this.options.openaiApiKey;
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}
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const modelOptions = this.options.modelOptions || {};
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if (!this.modelOptions) {
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this.modelOptions = {
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...modelOptions,
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model: modelOptions.model || 'gpt-3.5-turbo',
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temperature:
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typeof modelOptions.temperature === 'undefined' ? 0.8 : modelOptions.temperature,
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top_p: typeof modelOptions.top_p === 'undefined' ? 1 : modelOptions.top_p,
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presence_penalty:
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typeof modelOptions.presence_penalty === 'undefined' ? 1 : modelOptions.presence_penalty,
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stop: modelOptions.stop,
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};
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} else {
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// Update the modelOptions if it already exists
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this.modelOptions = {
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...this.modelOptions,
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...modelOptions,
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};
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}
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this.modelOptions = Object.assign(
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{
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model: openAISettings.model.default,
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},
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this.modelOptions,
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this.options.modelOptions,
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);
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this.defaultVisionModel = this.options.visionModel ?? 'gpt-4-vision-preview';
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if (typeof this.options.attachments?.then === 'function') {
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@ -1,4 +1,4 @@
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const { parseConvo, EModelEndpoint } = require('librechat-data-provider');
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const { parseCompactConvo, EModelEndpoint } = require('librechat-data-provider');
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const { getModelsConfig } = require('~/server/controllers/ModelController');
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const azureAssistants = require('~/server/services/Endpoints/azureAssistants');
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const assistants = require('~/server/services/Endpoints/assistants');
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@ -24,7 +24,7 @@ const buildFunction = {
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async function buildEndpointOption(req, res, next) {
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const { endpoint, endpointType } = req.body;
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const parsedBody = parseConvo({ endpoint, endpointType, conversation: req.body });
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const parsedBody = parseCompactConvo({ endpoint, endpointType, conversation: req.body });
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if (req.app.locals.modelSpecs?.list && req.app.locals.modelSpecs?.enforce) {
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/** @type {{ list: TModelSpec[] }}*/
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@ -21,7 +21,11 @@ const addTitle = async (req, { text, response, client }) => {
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const titleCache = getLogStores(CacheKeys.GEN_TITLE);
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const key = `${req.user.id}-${response.conversationId}`;
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const title = await client.titleConvo({ text, responseText: response?.text });
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const title = await client.titleConvo({
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text,
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responseText: response?.text,
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conversationId: response.conversationId,
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});
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await titleCache.set(key, title, 120000);
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await saveConvo(
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req,
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@ -1,15 +1,18 @@
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const { removeNullishValues } = require('librechat-data-provider');
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const buildOptions = (endpoint, parsedBody) => {
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const {
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modelLabel,
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promptPrefix,
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maxContextTokens,
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resendFiles,
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resendFiles = true,
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iconURL,
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greeting,
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spec,
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...rest
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...modelOptions
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} = parsedBody;
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const endpointOption = {
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const endpointOption = removeNullishValues({
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endpoint,
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modelLabel,
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promptPrefix,
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@ -18,10 +21,8 @@ const buildOptions = (endpoint, parsedBody) => {
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greeting,
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spec,
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maxContextTokens,
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modelOptions: {
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...rest,
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},
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};
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modelOptions,
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});
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return endpointOption;
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};
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@ -1,17 +1,17 @@
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const { removeNullishValues } = require('librechat-data-provider');
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const buildOptions = (endpoint, parsedBody) => {
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// eslint-disable-next-line no-unused-vars
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const { promptPrefix, assistant_id, iconURL, greeting, spec, ...rest } = parsedBody;
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const endpointOption = {
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const { promptPrefix, assistant_id, iconURL, greeting, spec, ...modelOptions } = parsedBody;
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const endpointOption = removeNullishValues({
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endpoint,
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promptPrefix,
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assistant_id,
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iconURL,
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greeting,
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spec,
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modelOptions: {
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...rest,
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},
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};
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modelOptions,
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});
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return endpointOption;
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};
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@ -1,17 +1,17 @@
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const { removeNullishValues } = require('librechat-data-provider');
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const buildOptions = (endpoint, parsedBody) => {
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// eslint-disable-next-line no-unused-vars
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const { promptPrefix, assistant_id, iconURL, greeting, spec, ...rest } = parsedBody;
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const endpointOption = {
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const { promptPrefix, assistant_id, iconURL, greeting, spec, ...modelOptions } = parsedBody;
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const endpointOption = removeNullishValues({
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endpoint,
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promptPrefix,
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assistant_id,
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iconURL,
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greeting,
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spec,
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modelOptions: {
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...rest,
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},
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};
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modelOptions,
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});
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return endpointOption;
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};
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@ -1,16 +1,18 @@
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const { removeNullishValues } = require('librechat-data-provider');
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const buildOptions = (endpoint, parsedBody, endpointType) => {
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const {
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chatGptLabel,
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promptPrefix,
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maxContextTokens,
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resendFiles,
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resendFiles = true,
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imageDetail,
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iconURL,
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greeting,
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spec,
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...rest
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...modelOptions
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} = parsedBody;
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const endpointOption = {
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const endpointOption = removeNullishValues({
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endpoint,
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endpointType,
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chatGptLabel,
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@ -21,10 +23,8 @@ const buildOptions = (endpoint, parsedBody, endpointType) => {
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greeting,
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spec,
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maxContextTokens,
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modelOptions: {
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...rest,
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},
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};
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modelOptions,
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});
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return endpointOption;
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};
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@ -47,7 +47,11 @@ const addTitle = async (req, { text, response, client }) => {
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const titleCache = getLogStores(CacheKeys.GEN_TITLE);
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const key = `${req.user.id}-${response.conversationId}`;
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const title = await titleClient.titleConvo({ text, responseText: response?.text });
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const title = await titleClient.titleConvo({
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text,
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responseText: response?.text,
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conversationId: response.conversationId,
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});
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await titleCache.set(key, title, 120000);
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await saveConvo(
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req,
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@ -1,17 +1,27 @@
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const { removeNullishValues } = require('librechat-data-provider');
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const buildOptions = (endpoint, parsedBody) => {
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const { examples, modelLabel, promptPrefix, iconURL, greeting, spec, ...rest } = parsedBody;
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const endpointOption = {
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const {
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examples,
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endpoint,
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modelLabel,
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resendFiles = true,
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promptPrefix,
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iconURL,
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greeting,
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spec,
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modelOptions: {
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...rest,
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},
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};
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...modelOptions
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} = parsedBody;
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const endpointOption = removeNullishValues({
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examples,
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endpoint,
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modelLabel,
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resendFiles,
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promptPrefix,
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iconURL,
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greeting,
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spec,
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modelOptions,
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});
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return endpointOption;
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};
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@ -1,3 +1,5 @@
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const { removeNullishValues } = require('librechat-data-provider');
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const buildOptions = (endpoint, parsedBody) => {
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const {
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chatGptLabel,
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@ -10,7 +12,7 @@ const buildOptions = (endpoint, parsedBody) => {
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maxContextTokens,
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...modelOptions
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} = parsedBody;
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const endpointOption = {
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const endpointOption = removeNullishValues({
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endpoint,
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tools:
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tools
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@ -24,7 +26,7 @@ const buildOptions = (endpoint, parsedBody) => {
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spec,
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maxContextTokens,
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modelOptions,
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};
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});
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return endpointOption;
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};
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@ -21,7 +21,11 @@ const addTitle = async (req, { text, response, client }) => {
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const titleCache = getLogStores(CacheKeys.GEN_TITLE);
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const key = `${req.user.id}-${response.conversationId}`;
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const title = await client.titleConvo({ text, responseText: response?.text });
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const title = await client.titleConvo({
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text,
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responseText: response?.text,
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conversationId: response.conversationId,
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});
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await titleCache.set(key, title, 120000);
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await saveConvo(
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req,
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@ -1,16 +1,18 @@
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const { removeNullishValues } = require('librechat-data-provider');
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const buildOptions = (endpoint, parsedBody) => {
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const {
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chatGptLabel,
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promptPrefix,
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maxContextTokens,
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resendFiles,
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resendFiles = true,
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imageDetail,
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iconURL,
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greeting,
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spec,
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...rest
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...modelOptions
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} = parsedBody;
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const endpointOption = {
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const endpointOption = removeNullishValues({
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endpoint,
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chatGptLabel,
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promptPrefix,
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@ -20,10 +22,8 @@ const buildOptions = (endpoint, parsedBody) => {
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greeting,
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spec,
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maxContextTokens,
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modelOptions: {
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...rest,
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},
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};
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modelOptions,
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});
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return endpointOption;
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};
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