mirror of
https://github.com/danny-avila/LibreChat.git
synced 2025-09-22 08:12:00 +02:00
🔧 refactor: Improve Agent Context & Minor Fixes (#5349)
* refactor: Improve Context for Agents
* 🔧 fix: Safeguard against undefined properties in OpenAIClient response handling
* refactor: log error before re-throwing for original stack trace
* refactor: remove toolResource state from useFileHandling, allow svg files
* refactor: prevent verbose logs from axios errors when using actions
* refactor: add silent method recordTokenUsage in AgentClient
* refactor: streamline token count assignment in BaseClient
* refactor: enhance safety settings handling for Gemini 2.0 model
* fix: capabilities structure in MCPConnection
* refactor: simplify civic integrity threshold handling in GoogleClient and llm
* refactor: update token count retrieval method in BaseClient tests
* ci: fix test for svg
This commit is contained in:
parent
e309c6abef
commit
b35a8b78e2
19 changed files with 324 additions and 112 deletions
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@ -4,6 +4,7 @@ const {
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supportsBalanceCheck,
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isAgentsEndpoint,
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isParamEndpoint,
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EModelEndpoint,
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ErrorTypes,
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Constants,
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CacheKeys,
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@ -11,6 +12,7 @@ const {
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} = require('librechat-data-provider');
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const { getMessages, saveMessage, updateMessage, saveConvo } = require('~/models');
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const { addSpaceIfNeeded, isEnabled } = require('~/server/utils');
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const { truncateToolCallOutputs } = require('./prompts');
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const checkBalance = require('~/models/checkBalance');
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const { getFiles } = require('~/models/File');
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const { getLogStores } = require('~/cache');
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@ -95,7 +97,7 @@ class BaseClient {
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* @returns {number}
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*/
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getTokenCountForResponse(responseMessage) {
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logger.debug('`[BaseClient] recordTokenUsage` not implemented.', responseMessage);
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logger.debug('[BaseClient] `recordTokenUsage` not implemented.', responseMessage);
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}
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/**
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@ -106,7 +108,7 @@ class BaseClient {
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* @returns {Promise<void>}
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*/
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async recordTokenUsage({ promptTokens, completionTokens }) {
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logger.debug('`[BaseClient] recordTokenUsage` not implemented.', {
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logger.debug('[BaseClient] `recordTokenUsage` not implemented.', {
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promptTokens,
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completionTokens,
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});
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@ -287,6 +289,9 @@ class BaseClient {
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}
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async handleTokenCountMap(tokenCountMap) {
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if (this.clientName === EModelEndpoint.agents) {
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return;
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}
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if (this.currentMessages.length === 0) {
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return;
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}
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@ -394,6 +399,21 @@ class BaseClient {
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_instructions && logger.debug('[BaseClient] instructions tokenCount: ' + tokenCount);
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let payload = this.addInstructions(formattedMessages, _instructions);
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let orderedWithInstructions = this.addInstructions(orderedMessages, instructions);
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if (this.clientName === EModelEndpoint.agents) {
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const { dbMessages, editedIndices } = truncateToolCallOutputs(
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orderedWithInstructions,
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this.maxContextTokens,
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this.getTokenCountForMessage.bind(this),
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);
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if (editedIndices.length > 0) {
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logger.debug('[BaseClient] Truncated tool call outputs:', editedIndices);
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for (const index of editedIndices) {
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payload[index].content = dbMessages[index].content;
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}
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orderedWithInstructions = dbMessages;
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}
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}
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let { context, remainingContextTokens, messagesToRefine, summaryIndex } =
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await this.getMessagesWithinTokenLimit(orderedWithInstructions);
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@ -625,7 +645,7 @@ class BaseClient {
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await this.updateUserMessageTokenCount({ usage, tokenCountMap, userMessage, opts });
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} else {
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responseMessage.tokenCount = this.getTokenCountForResponse(responseMessage);
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completionTokens = this.getTokenCount(completion);
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completionTokens = responseMessage.tokenCount;
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}
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await this.recordTokenUsage({ promptTokens, completionTokens, usage });
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@ -886,32 +886,42 @@ class GoogleClient extends BaseClient {
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}
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getSafetySettings() {
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const isGemini2 = this.modelOptions.model.includes('gemini-2.0');
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const mapThreshold = (value) => {
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if (isGemini2 && value === 'BLOCK_NONE') {
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return 'OFF';
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}
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return value;
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};
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return [
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{
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category: 'HARM_CATEGORY_SEXUALLY_EXPLICIT',
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threshold:
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threshold: mapThreshold(
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process.env.GOOGLE_SAFETY_SEXUALLY_EXPLICIT || 'HARM_BLOCK_THRESHOLD_UNSPECIFIED',
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),
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},
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{
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category: 'HARM_CATEGORY_HATE_SPEECH',
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threshold: process.env.GOOGLE_SAFETY_HATE_SPEECH || 'HARM_BLOCK_THRESHOLD_UNSPECIFIED',
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threshold: mapThreshold(
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process.env.GOOGLE_SAFETY_HATE_SPEECH || 'HARM_BLOCK_THRESHOLD_UNSPECIFIED',
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),
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},
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{
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category: 'HARM_CATEGORY_HARASSMENT',
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threshold: process.env.GOOGLE_SAFETY_HARASSMENT || 'HARM_BLOCK_THRESHOLD_UNSPECIFIED',
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threshold: mapThreshold(
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process.env.GOOGLE_SAFETY_HARASSMENT || 'HARM_BLOCK_THRESHOLD_UNSPECIFIED',
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),
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},
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{
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category: 'HARM_CATEGORY_DANGEROUS_CONTENT',
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threshold:
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threshold: mapThreshold(
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process.env.GOOGLE_SAFETY_DANGEROUS_CONTENT || 'HARM_BLOCK_THRESHOLD_UNSPECIFIED',
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),
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},
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{
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category: 'HARM_CATEGORY_CIVIC_INTEGRITY',
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/**
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* Note: this was added since `gemini-2.0-flash-thinking-exp-1219` does not
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* accept 'HARM_BLOCK_THRESHOLD_UNSPECIFIED' for 'HARM_CATEGORY_CIVIC_INTEGRITY'
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* */
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threshold: process.env.GOOGLE_SAFETY_CIVIC_INTEGRITY || 'BLOCK_NONE',
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threshold: mapThreshold(process.env.GOOGLE_SAFETY_CIVIC_INTEGRITY || 'BLOCK_NONE'),
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},
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];
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}
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@ -1293,7 +1293,7 @@ ${convo}
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});
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for await (const chunk of stream) {
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const token = chunk.choices[0]?.delta?.content || '';
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const token = chunk?.choices?.[0]?.delta?.content || '';
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intermediateReply.push(token);
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onProgress(token);
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if (abortController.signal.aborted) {
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@ -4,7 +4,7 @@ const summaryPrompts = require('./summaryPrompts');
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const handleInputs = require('./handleInputs');
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const instructions = require('./instructions');
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const titlePrompts = require('./titlePrompts');
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const truncateText = require('./truncateText');
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const truncate = require('./truncate');
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const createVisionPrompt = require('./createVisionPrompt');
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const createContextHandlers = require('./createContextHandlers');
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@ -15,7 +15,7 @@ module.exports = {
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...handleInputs,
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...instructions,
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...titlePrompts,
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...truncateText,
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...truncate,
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createVisionPrompt,
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createContextHandlers,
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};
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115
api/app/clients/prompts/truncate.js
Normal file
115
api/app/clients/prompts/truncate.js
Normal file
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@ -0,0 +1,115 @@
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const MAX_CHAR = 255;
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/**
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* Truncates a given text to a specified maximum length, appending ellipsis and a notification
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* if the original text exceeds the maximum length.
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*
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* @param {string} text - The text to be truncated.
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* @param {number} [maxLength=MAX_CHAR] - The maximum length of the text after truncation. Defaults to MAX_CHAR.
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* @returns {string} The truncated text if the original text length exceeds maxLength, otherwise returns the original text.
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*/
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function truncateText(text, maxLength = MAX_CHAR) {
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if (text.length > maxLength) {
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return `${text.slice(0, maxLength)}... [text truncated for brevity]`;
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}
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return text;
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}
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/**
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* Truncates a given text to a specified maximum length by showing the first half and the last half of the text,
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* separated by ellipsis. This method ensures the output does not exceed the maximum length, including the addition
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* of ellipsis and notification if the original text exceeds the maximum length.
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*
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* @param {string} text - The text to be truncated.
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* @param {number} [maxLength=MAX_CHAR] - The maximum length of the output text after truncation. Defaults to MAX_CHAR.
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* @returns {string} The truncated text showing the first half and the last half, or the original text if it does not exceed maxLength.
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*/
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function smartTruncateText(text, maxLength = MAX_CHAR) {
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const ellipsis = '...';
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const notification = ' [text truncated for brevity]';
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const halfMaxLength = Math.floor((maxLength - ellipsis.length - notification.length) / 2);
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if (text.length > maxLength) {
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const startLastHalf = text.length - halfMaxLength;
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return `${text.slice(0, halfMaxLength)}${ellipsis}${text.slice(startLastHalf)}${notification}`;
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}
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return text;
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}
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/**
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* @param {TMessage[]} _messages
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* @param {number} maxContextTokens
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* @param {function({role: string, content: TMessageContent[]}): number} getTokenCountForMessage
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*
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* @returns {{
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* dbMessages: TMessage[],
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* editedIndices: number[]
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* }}
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*/
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function truncateToolCallOutputs(_messages, maxContextTokens, getTokenCountForMessage) {
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const THRESHOLD_PERCENTAGE = 0.5;
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const targetTokenLimit = maxContextTokens * THRESHOLD_PERCENTAGE;
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let currentTokenCount = 3;
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const messages = [..._messages];
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const processedMessages = [];
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let currentIndex = messages.length;
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const editedIndices = new Set();
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while (messages.length > 0) {
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currentIndex--;
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const message = messages.pop();
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currentTokenCount += message.tokenCount;
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if (currentTokenCount < targetTokenLimit) {
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processedMessages.push(message);
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continue;
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}
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if (!message.content || !Array.isArray(message.content)) {
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processedMessages.push(message);
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continue;
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}
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const toolCallIndices = message.content
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.map((item, index) => (item.type === 'tool_call' ? index : -1))
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.filter((index) => index !== -1)
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.reverse();
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if (toolCallIndices.length === 0) {
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processedMessages.push(message);
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continue;
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}
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const newContent = [...message.content];
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// Truncate all tool outputs since we're over threshold
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for (const index of toolCallIndices) {
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const toolCall = newContent[index].tool_call;
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if (!toolCall || !toolCall.output) {
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continue;
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}
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editedIndices.add(currentIndex);
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newContent[index] = {
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...newContent[index],
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tool_call: {
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...toolCall,
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output: '[OUTPUT_OMITTED_FOR_BREVITY]',
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},
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};
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}
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const truncatedMessage = {
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...message,
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content: newContent,
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tokenCount: getTokenCountForMessage({ role: 'assistant', content: newContent }),
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};
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processedMessages.push(truncatedMessage);
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}
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return { dbMessages: processedMessages.reverse(), editedIndices: Array.from(editedIndices) };
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}
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module.exports = { truncateText, smartTruncateText, truncateToolCallOutputs };
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@ -1,40 +0,0 @@
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const MAX_CHAR = 255;
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/**
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* Truncates a given text to a specified maximum length, appending ellipsis and a notification
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* if the original text exceeds the maximum length.
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*
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* @param {string} text - The text to be truncated.
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* @param {number} [maxLength=MAX_CHAR] - The maximum length of the text after truncation. Defaults to MAX_CHAR.
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* @returns {string} The truncated text if the original text length exceeds maxLength, otherwise returns the original text.
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*/
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function truncateText(text, maxLength = MAX_CHAR) {
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if (text.length > maxLength) {
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return `${text.slice(0, maxLength)}... [text truncated for brevity]`;
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}
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return text;
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}
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/**
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* Truncates a given text to a specified maximum length by showing the first half and the last half of the text,
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* separated by ellipsis. This method ensures the output does not exceed the maximum length, including the addition
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* of ellipsis and notification if the original text exceeds the maximum length.
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*
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* @param {string} text - The text to be truncated.
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* @param {number} [maxLength=MAX_CHAR] - The maximum length of the output text after truncation. Defaults to MAX_CHAR.
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* @returns {string} The truncated text showing the first half and the last half, or the original text if it does not exceed maxLength.
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*/
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function smartTruncateText(text, maxLength = MAX_CHAR) {
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const ellipsis = '...';
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const notification = ' [text truncated for brevity]';
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const halfMaxLength = Math.floor((maxLength - ellipsis.length - notification.length) / 2);
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if (text.length > maxLength) {
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const startLastHalf = text.length - halfMaxLength;
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return `${text.slice(0, halfMaxLength)}${ellipsis}${text.slice(startLastHalf)}${notification}`;
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}
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return text;
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}
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module.exports = { truncateText, smartTruncateText };
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@ -615,9 +615,9 @@ describe('BaseClient', () => {
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test('getTokenCount for response is called with the correct arguments', async () => {
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const tokenCountMap = {}; // Mock tokenCountMap
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TestClient.buildMessages.mockReturnValue({ prompt: [], tokenCountMap });
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TestClient.getTokenCount = jest.fn();
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TestClient.getTokenCountForResponse = jest.fn();
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const response = await TestClient.sendMessage('Hello, world!', {});
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expect(TestClient.getTokenCount).toHaveBeenCalledWith(response.text);
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expect(TestClient.getTokenCountForResponse).toHaveBeenCalledWith(response);
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});
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test('returns an object with the correct shape', async () => {
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|
|
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@ -23,6 +23,8 @@ async function handleOpenAIErrors(err, errorCallback, context = 'stream') {
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logger.warn(`[OpenAIClient.chatCompletion][${context}] Unhandled error type`);
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}
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logger.error(err);
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if (errorCallback) {
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errorCallback(err);
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}
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|
|
|
@ -60,6 +60,9 @@ const noSystemModelRegex = [/\bo1\b/gi];
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class AgentClient extends BaseClient {
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constructor(options = {}) {
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super(null, options);
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/** The current client class
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* @type {string} */
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this.clientName = EModelEndpoint.agents;
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/** @type {'discard' | 'summarize'} */
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this.contextStrategy = 'discard';
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|
@ -91,6 +94,14 @@ class AgentClient extends BaseClient {
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this.options = Object.assign({ endpoint: options.endpoint }, clientOptions);
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/** @type {string} */
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this.model = this.options.agent.model_parameters.model;
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/** The key for the usage object's input tokens
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* @type {string} */
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this.inputTokensKey = 'input_tokens';
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/** The key for the usage object's output tokens
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* @type {string} */
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this.outputTokensKey = 'output_tokens';
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/** @type {UsageMetadata} */
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this.usage;
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}
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|
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/**
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|
@ -329,16 +340,18 @@ class AgentClient extends BaseClient {
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this.options.agent.instructions = systemContent;
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}
|
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|
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/** @type {Record<string, number> | undefined} */
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let tokenCountMap;
|
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|
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if (this.contextStrategy) {
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({ payload, promptTokens, messages } = await this.handleContextStrategy({
|
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({ payload, promptTokens, tokenCountMap, messages } = await this.handleContextStrategy({
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orderedMessages,
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formattedMessages,
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/* prefer usage_metadata from final message */
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buildTokenMap: false,
|
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}));
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}
|
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|
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const result = {
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tokenCountMap,
|
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prompt: payload,
|
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promptTokens,
|
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messages,
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|
@ -368,8 +381,26 @@ class AgentClient extends BaseClient {
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* @param {UsageMetadata[]} [params.collectedUsage=this.collectedUsage]
|
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*/
|
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async recordCollectedUsage({ model, context = 'message', collectedUsage = this.collectedUsage }) {
|
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for (const usage of collectedUsage) {
|
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await spendTokens(
|
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if (!collectedUsage || !collectedUsage.length) {
|
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return;
|
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}
|
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const input_tokens = collectedUsage[0]?.input_tokens || 0;
|
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|
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let output_tokens = 0;
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let previousTokens = input_tokens; // Start with original input
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for (let i = 0; i < collectedUsage.length; i++) {
|
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const usage = collectedUsage[i];
|
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if (i > 0) {
|
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// Count new tokens generated (input_tokens minus previous accumulated tokens)
|
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output_tokens += (Number(usage.input_tokens) || 0) - previousTokens;
|
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}
|
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|
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// Add this message's output tokens
|
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output_tokens += Number(usage.output_tokens) || 0;
|
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|
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// Update previousTokens to include this message's output
|
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previousTokens += Number(usage.output_tokens) || 0;
|
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spendTokens(
|
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{
|
||||
context,
|
||||
conversationId: this.conversationId,
|
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|
@ -378,8 +409,66 @@ class AgentClient extends BaseClient {
|
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model: usage.model ?? model ?? this.model ?? this.options.agent.model_parameters.model,
|
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},
|
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{ promptTokens: usage.input_tokens, completionTokens: usage.output_tokens },
|
||||
).catch((err) => {
|
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logger.error(
|
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'[api/server/controllers/agents/client.js #recordCollectedUsage] Error spending tokens',
|
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err,
|
||||
);
|
||||
});
|
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}
|
||||
|
||||
this.usage = {
|
||||
input_tokens,
|
||||
output_tokens,
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* Get stream usage as returned by this client's API response.
|
||||
* @returns {UsageMetadata} The stream usage object.
|
||||
*/
|
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getStreamUsage() {
|
||||
return this.usage;
|
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}
|
||||
|
||||
/**
|
||||
* @param {TMessage} responseMessage
|
||||
* @returns {number}
|
||||
*/
|
||||
getTokenCountForResponse({ content }) {
|
||||
return this.getTokenCountForMessage({
|
||||
role: 'assistant',
|
||||
content,
|
||||
});
|
||||
}
|
||||
|
||||
/**
|
||||
* Calculates the correct token count for the current user message based on the token count map and API usage.
|
||||
* Edge case: If the calculation results in a negative value, it returns the original estimate.
|
||||
* If revisiting a conversation with a chat history entirely composed of token estimates,
|
||||
* the cumulative token count going forward should become more accurate as the conversation progresses.
|
||||
* @param {Object} params - The parameters for the calculation.
|
||||
* @param {Record<string, number>} params.tokenCountMap - A map of message IDs to their token counts.
|
||||
* @param {string} params.currentMessageId - The ID of the current message to calculate.
|
||||
* @param {OpenAIUsageMetadata} params.usage - The usage object returned by the API.
|
||||
* @returns {number} The correct token count for the current user message.
|
||||
*/
|
||||
calculateCurrentTokenCount({ tokenCountMap, currentMessageId, usage }) {
|
||||
const originalEstimate = tokenCountMap[currentMessageId] || 0;
|
||||
|
||||
if (!usage || typeof usage[this.inputTokensKey] !== 'number') {
|
||||
return originalEstimate;
|
||||
}
|
||||
|
||||
tokenCountMap[currentMessageId] = 0;
|
||||
const totalTokensFromMap = Object.values(tokenCountMap).reduce((sum, count) => {
|
||||
const numCount = Number(count);
|
||||
return sum + (isNaN(numCount) ? 0 : numCount);
|
||||
}, 0);
|
||||
const totalInputTokens = usage[this.inputTokensKey] ?? 0;
|
||||
|
||||
const currentMessageTokens = totalInputTokens - totalTokensFromMap;
|
||||
return currentMessageTokens > 0 ? currentMessageTokens : originalEstimate;
|
||||
}
|
||||
|
||||
async chatCompletion({ payload, abortController = null }) {
|
||||
|
@ -676,12 +765,14 @@ class AgentClient extends BaseClient {
|
|||
);
|
||||
});
|
||||
|
||||
this.recordCollectedUsage({ context: 'message' }).catch((err) => {
|
||||
try {
|
||||
await this.recordCollectedUsage({ context: 'message' });
|
||||
} catch (err) {
|
||||
logger.error(
|
||||
'[api/server/controllers/agents/client.js #chatCompletion] Error recording collected usage',
|
||||
err,
|
||||
);
|
||||
});
|
||||
}
|
||||
} catch (err) {
|
||||
if (!abortController.signal.aborted) {
|
||||
logger.error(
|
||||
|
@ -767,8 +858,11 @@ class AgentClient extends BaseClient {
|
|||
}
|
||||
}
|
||||
|
||||
/** Silent method, as `recordCollectedUsage` is used instead */
|
||||
async recordTokenUsage() {}
|
||||
|
||||
getEncoding() {
|
||||
return this.model?.includes('gpt-4o') ? 'o200k_base' : 'cl100k_base';
|
||||
return 'o200k_base';
|
||||
}
|
||||
|
||||
/**
|
||||
|
|
|
@ -11,6 +11,7 @@ const { isActionDomainAllowed } = require('~/server/services/domains');
|
|||
const { encryptV2, decryptV2 } = require('~/server/utils/crypto');
|
||||
const { getActions, deleteActions } = require('~/models/Action');
|
||||
const { deleteAssistant } = require('~/models/Assistant');
|
||||
const { logAxiosError } = require('~/utils');
|
||||
const { getLogStores } = require('~/cache');
|
||||
const { logger } = require('~/config');
|
||||
|
||||
|
@ -146,15 +147,8 @@ async function createActionTool({ action, requestBuilder, zodSchema, name, descr
|
|||
}
|
||||
return res.data;
|
||||
} catch (error) {
|
||||
logger.error(`API call to ${action.metadata.domain} failed`, error);
|
||||
if (error.response) {
|
||||
const { status, data } = error.response;
|
||||
return `API call to ${
|
||||
action.metadata.domain
|
||||
} failed with status ${status}: ${JSON.stringify(data)}`;
|
||||
}
|
||||
|
||||
return `API call to ${action.metadata.domain} failed.`;
|
||||
const logMessage = `API call to ${action.metadata.domain} failed`;
|
||||
logAxiosError({ message: logMessage, error });
|
||||
}
|
||||
};
|
||||
|
||||
|
|
|
@ -4,27 +4,47 @@ const { AuthKeys } = require('librechat-data-provider');
|
|||
// Example internal constant from your code
|
||||
const EXCLUDED_GENAI_MODELS = /gemini-(?:1\.0|1-0|pro)/;
|
||||
|
||||
function getSafetySettings() {
|
||||
/**
|
||||
*
|
||||
* @param {boolean} isGemini2
|
||||
* @returns {Array<{category: string, threshold: string}>}
|
||||
*/
|
||||
function getSafetySettings(isGemini2) {
|
||||
const mapThreshold = (value) => {
|
||||
if (isGemini2 && value === 'BLOCK_NONE') {
|
||||
return 'OFF';
|
||||
}
|
||||
return value;
|
||||
};
|
||||
|
||||
return [
|
||||
{
|
||||
category: 'HARM_CATEGORY_SEXUALLY_EXPLICIT',
|
||||
threshold: process.env.GOOGLE_SAFETY_SEXUALLY_EXPLICIT || 'HARM_BLOCK_THRESHOLD_UNSPECIFIED',
|
||||
threshold: mapThreshold(
|
||||
process.env.GOOGLE_SAFETY_SEXUALLY_EXPLICIT || 'HARM_BLOCK_THRESHOLD_UNSPECIFIED',
|
||||
),
|
||||
},
|
||||
{
|
||||
category: 'HARM_CATEGORY_HATE_SPEECH',
|
||||
threshold: process.env.GOOGLE_SAFETY_HATE_SPEECH || 'HARM_BLOCK_THRESHOLD_UNSPECIFIED',
|
||||
threshold: mapThreshold(
|
||||
process.env.GOOGLE_SAFETY_HATE_SPEECH || 'HARM_BLOCK_THRESHOLD_UNSPECIFIED',
|
||||
),
|
||||
},
|
||||
{
|
||||
category: 'HARM_CATEGORY_HARASSMENT',
|
||||
threshold: process.env.GOOGLE_SAFETY_HARASSMENT || 'HARM_BLOCK_THRESHOLD_UNSPECIFIED',
|
||||
threshold: mapThreshold(
|
||||
process.env.GOOGLE_SAFETY_HARASSMENT || 'HARM_BLOCK_THRESHOLD_UNSPECIFIED',
|
||||
),
|
||||
},
|
||||
{
|
||||
category: 'HARM_CATEGORY_DANGEROUS_CONTENT',
|
||||
threshold: process.env.GOOGLE_SAFETY_DANGEROUS_CONTENT || 'HARM_BLOCK_THRESHOLD_UNSPECIFIED',
|
||||
threshold: mapThreshold(
|
||||
process.env.GOOGLE_SAFETY_DANGEROUS_CONTENT || 'HARM_BLOCK_THRESHOLD_UNSPECIFIED',
|
||||
),
|
||||
},
|
||||
{
|
||||
category: 'HARM_CATEGORY_CIVIC_INTEGRITY',
|
||||
threshold: process.env.GOOGLE_SAFETY_CIVIC_INTEGRITY || 'BLOCK_NONE',
|
||||
threshold: mapThreshold(process.env.GOOGLE_SAFETY_CIVIC_INTEGRITY || 'BLOCK_NONE'),
|
||||
},
|
||||
];
|
||||
}
|
||||
|
@ -64,14 +84,16 @@ function getLLMConfig(credentials, options = {}) {
|
|||
/** @type {GoogleClientOptions | VertexAIClientOptions} */
|
||||
let llmConfig = {
|
||||
...(options.modelOptions || {}),
|
||||
safetySettings: getSafetySettings(),
|
||||
maxRetries: 2,
|
||||
};
|
||||
|
||||
const isGemini2 = llmConfig.model.includes('gemini-2.0');
|
||||
const isGenerativeModel = llmConfig.model.includes('gemini');
|
||||
const isChatModel = !isGenerativeModel && llmConfig.model.includes('chat');
|
||||
const isTextModel = !isGenerativeModel && !isChatModel && /code|text/.test(llmConfig.model);
|
||||
|
||||
llmConfig.safetySettings = getSafetySettings(isGemini2);
|
||||
|
||||
let provider;
|
||||
|
||||
if (project_id && isTextModel) {
|
||||
|
|
|
@ -11,15 +11,15 @@ import { cn } from '~/utils';
|
|||
interface AttachFileProps {
|
||||
isRTL: boolean;
|
||||
disabled?: boolean | null;
|
||||
handleFileChange: (event: React.ChangeEvent<HTMLInputElement>) => void;
|
||||
setToolResource?: React.Dispatch<React.SetStateAction<string | undefined>>;
|
||||
handleFileChange: (event: React.ChangeEvent<HTMLInputElement>, toolResource?: string) => void;
|
||||
}
|
||||
|
||||
const AttachFile = ({ isRTL, disabled, setToolResource, handleFileChange }: AttachFileProps) => {
|
||||
const AttachFile = ({ isRTL, disabled, handleFileChange }: AttachFileProps) => {
|
||||
const localize = useLocalize();
|
||||
const isUploadDisabled = disabled ?? false;
|
||||
const inputRef = useRef<HTMLInputElement>(null);
|
||||
const [isPopoverActive, setIsPopoverActive] = useState(false);
|
||||
const [toolResource, setToolResource] = useState<EToolResources | undefined>();
|
||||
const { data: endpointsConfig } = useGetEndpointsQuery();
|
||||
|
||||
const capabilities = useMemo(
|
||||
|
@ -42,7 +42,7 @@ const AttachFile = ({ isRTL, disabled, setToolResource, handleFileChange }: Atta
|
|||
{
|
||||
label: localize('com_ui_upload_image_input'),
|
||||
onClick: () => {
|
||||
setToolResource?.(undefined);
|
||||
setToolResource(undefined);
|
||||
handleUploadClick(true);
|
||||
},
|
||||
icon: <ImageUpIcon className="icon-md" />,
|
||||
|
@ -53,7 +53,7 @@ const AttachFile = ({ isRTL, disabled, setToolResource, handleFileChange }: Atta
|
|||
items.push({
|
||||
label: localize('com_ui_upload_file_search'),
|
||||
onClick: () => {
|
||||
setToolResource?.(EToolResources.file_search);
|
||||
setToolResource(EToolResources.file_search);
|
||||
handleUploadClick();
|
||||
},
|
||||
icon: <FileSearch className="icon-md" />,
|
||||
|
@ -64,7 +64,7 @@ const AttachFile = ({ isRTL, disabled, setToolResource, handleFileChange }: Atta
|
|||
items.push({
|
||||
label: localize('com_ui_upload_code_files'),
|
||||
onClick: () => {
|
||||
setToolResource?.(EToolResources.execute_code);
|
||||
setToolResource(EToolResources.execute_code);
|
||||
handleUploadClick();
|
||||
},
|
||||
icon: <TerminalSquareIcon className="icon-md" />,
|
||||
|
@ -98,7 +98,12 @@ const AttachFile = ({ isRTL, disabled, setToolResource, handleFileChange }: Atta
|
|||
);
|
||||
|
||||
return (
|
||||
<FileUpload ref={inputRef} handleFileChange={handleFileChange}>
|
||||
<FileUpload
|
||||
ref={inputRef}
|
||||
handleFileChange={(e) => {
|
||||
handleFileChange(e, toolResource);
|
||||
}}
|
||||
>
|
||||
<div className="relative select-none">
|
||||
<DropdownPopup
|
||||
menuId="attach-file-menu"
|
||||
|
|
|
@ -27,7 +27,7 @@ function FileFormWrapper({
|
|||
const { endpoint: _endpoint, endpointType } = conversation ?? { endpoint: null };
|
||||
const isAgents = useMemo(() => isAgentsEndpoint(_endpoint), [_endpoint]);
|
||||
|
||||
const { handleFileChange, abortUpload, setToolResource } = useFileHandling();
|
||||
const { handleFileChange, abortUpload } = useFileHandling();
|
||||
|
||||
const { data: fileConfig = defaultFileConfig } = useGetFileConfig({
|
||||
select: (data) => mergeFileConfig(data),
|
||||
|
@ -48,7 +48,6 @@ function FileFormWrapper({
|
|||
<AttachFileMenu
|
||||
isRTL={isRTL}
|
||||
disabled={disableInputs}
|
||||
setToolResource={setToolResource}
|
||||
handleFileChange={handleFileChange}
|
||||
/>
|
||||
);
|
||||
|
|
|
@ -39,7 +39,6 @@ const useFileHandling = (params?: UseFileHandling) => {
|
|||
const [errors, setErrors] = useState<string[]>([]);
|
||||
const abortControllerRef = useRef<AbortController | null>(null);
|
||||
const { startUploadTimer, clearUploadTimer } = useDelayedUploadToast();
|
||||
const [toolResource, setToolResource] = useState<string | undefined>();
|
||||
const { files, setFiles, setFilesLoading, conversation } = useChatContext();
|
||||
const setError = (error: string) => setErrors((prevErrors) => [...prevErrors, error]);
|
||||
const { addFile, replaceFile, updateFileById, deleteFileById } = useUpdateFiles(
|
||||
|
@ -149,9 +148,6 @@ const useFileHandling = (params?: UseFileHandling) => {
|
|||
: error?.response?.data?.message ?? 'com_error_files_upload';
|
||||
setError(errorMessage);
|
||||
},
|
||||
onMutate: () => {
|
||||
setToolResource(undefined);
|
||||
},
|
||||
},
|
||||
abortControllerRef.current?.signal,
|
||||
);
|
||||
|
@ -187,7 +183,7 @@ const useFileHandling = (params?: UseFileHandling) => {
|
|||
if (!agent_id) {
|
||||
formData.append('message_file', 'true');
|
||||
}
|
||||
const tool_resource = extendedFile.tool_resource ?? toolResource;
|
||||
const tool_resource = extendedFile.tool_resource;
|
||||
if (tool_resource != null) {
|
||||
formData.append('tool_resource', tool_resource);
|
||||
}
|
||||
|
@ -365,7 +361,7 @@ const useFileHandling = (params?: UseFileHandling) => {
|
|||
|
||||
const isImage = originalFile.type.split('/')[0] === 'image';
|
||||
const tool_resource =
|
||||
extendedFile.tool_resource ?? params?.additionalMetadata?.tool_resource ?? toolResource;
|
||||
extendedFile.tool_resource ?? params?.additionalMetadata?.tool_resource;
|
||||
if (isAgentsEndpoint(endpoint) && !isImage && tool_resource == null) {
|
||||
/** Note: this needs to be removed when we can support files to providers */
|
||||
setError('com_error_files_unsupported_capability');
|
||||
|
@ -388,11 +384,11 @@ const useFileHandling = (params?: UseFileHandling) => {
|
|||
}
|
||||
};
|
||||
|
||||
const handleFileChange = (event: React.ChangeEvent<HTMLInputElement>) => {
|
||||
const handleFileChange = (event: React.ChangeEvent<HTMLInputElement>, _toolResource?: string) => {
|
||||
event.stopPropagation();
|
||||
if (event.target.files) {
|
||||
setFilesLoading(true);
|
||||
handleFiles(event.target.files);
|
||||
handleFiles(event.target.files, _toolResource);
|
||||
// reset the input
|
||||
event.target.value = '';
|
||||
}
|
||||
|
@ -408,7 +404,6 @@ const useFileHandling = (params?: UseFileHandling) => {
|
|||
|
||||
return {
|
||||
handleFileChange,
|
||||
setToolResource,
|
||||
handleFiles,
|
||||
abortUpload,
|
||||
setFiles,
|
||||
|
|
2
package-lock.json
generated
2
package-lock.json
generated
|
@ -36322,7 +36322,7 @@
|
|||
},
|
||||
"packages/data-provider": {
|
||||
"name": "librechat-data-provider",
|
||||
"version": "0.7.692",
|
||||
"version": "0.7.693",
|
||||
"license": "ISC",
|
||||
"dependencies": {
|
||||
"axios": "^1.7.7",
|
||||
|
|
|
@ -1,6 +1,6 @@
|
|||
{
|
||||
"name": "librechat-data-provider",
|
||||
"version": "0.7.692",
|
||||
"version": "0.7.693",
|
||||
"description": "data services for librechat apps",
|
||||
"main": "dist/index.js",
|
||||
"module": "dist/index.es.js",
|
||||
|
|
|
@ -14,13 +14,7 @@ import {
|
|||
} from '../src/file-config';
|
||||
|
||||
describe('MIME Type Regex Patterns', () => {
|
||||
const unsupportedMimeTypes = [
|
||||
'text/x-unknown',
|
||||
'application/unknown',
|
||||
'image/bmp',
|
||||
'image/svg',
|
||||
'audio/mp3',
|
||||
];
|
||||
const unsupportedMimeTypes = ['text/x-unknown', 'application/unknown', 'image/bmp', 'audio/mp3'];
|
||||
|
||||
// Testing general supported MIME types
|
||||
fullMimeTypesList.forEach((mimeType) => {
|
||||
|
|
|
@ -54,6 +54,8 @@ export const fullMimeTypesList = [
|
|||
'application/typescript',
|
||||
'application/xml',
|
||||
'application/zip',
|
||||
'image/svg',
|
||||
'image/svg+xml',
|
||||
...excelFileTypes,
|
||||
];
|
||||
|
||||
|
@ -122,6 +124,8 @@ export const supportedMimeTypes = [
|
|||
excelMimeTypes,
|
||||
applicationMimeTypes,
|
||||
imageMimeTypes,
|
||||
/** Supported by LC Code Interpreter PAI */
|
||||
/^image\/(svg|svg\+xml)$/,
|
||||
];
|
||||
|
||||
export const codeInterpreterMimeTypes = [
|
||||
|
|
|
@ -55,9 +55,7 @@ export class MCPConnection extends EventEmitter {
|
|||
version: '1.0.0',
|
||||
},
|
||||
{
|
||||
capabilities: {
|
||||
tools: {},
|
||||
},
|
||||
capabilities: {},
|
||||
},
|
||||
);
|
||||
|
||||
|
|
Loading…
Add table
Add a link
Reference in a new issue