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📝 fix: Mistral OCR Image Support and Azure Agent Titles (#6901)
* fix: azure title model * refactor: typing for uploadMistralOCR * fix: update conversation ID handling in useSSE for better state management, only use PENDING_CONVO for new conversations * fix: streamline conversation ID handling in useSSE for simplicity, only needs state update to prevent draft from applying * fix: update performOCR and tests to support document and image URLs with appropriate types
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5 changed files with 185 additions and 15 deletions
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@ -33,6 +33,7 @@ const { addCacheControl, createContextHandlers } = require('~/app/clients/prompt
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const { spendTokens, spendStructuredTokens } = require('~/models/spendTokens');
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const { getBufferString, HumanMessage } = require('@langchain/core/messages');
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const { encodeAndFormat } = require('~/server/services/Files/images/encode');
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const initOpenAI = require('~/server/services/Endpoints/openAI/initialize');
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const Tokenizer = require('~/server/services/Tokenizer');
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const BaseClient = require('~/app/clients/BaseClient');
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const { logger, sendEvent } = require('~/config');
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@ -931,14 +932,16 @@ class AgentClient extends BaseClient {
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throw new Error('Run not initialized');
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}
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const { handleLLMEnd, collected: collectedMetadata } = createMetadataAggregator();
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const endpoint = this.options.agent.endpoint;
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const { req, res } = this.options;
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/** @type {import('@librechat/agents').ClientOptions} */
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const clientOptions = {
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let clientOptions = {
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maxTokens: 75,
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};
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let endpointConfig = this.options.req.app.locals[this.options.agent.endpoint];
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let endpointConfig = req.app.locals[endpoint];
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if (!endpointConfig) {
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try {
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endpointConfig = await getCustomEndpointConfig(this.options.agent.endpoint);
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endpointConfig = await getCustomEndpointConfig(endpoint);
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} catch (err) {
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logger.error(
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'[api/server/controllers/agents/client.js #titleConvo] Error getting custom endpoint config',
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@ -953,6 +956,28 @@ class AgentClient extends BaseClient {
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) {
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clientOptions.model = endpointConfig.titleModel;
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}
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if (
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endpoint === EModelEndpoint.azureOpenAI &&
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clientOptions.model &&
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this.options.agent.model_parameters.model !== clientOptions.model
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) {
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clientOptions =
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(
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await initOpenAI({
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req,
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res,
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optionsOnly: true,
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overrideModel: clientOptions.model,
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overrideEndpoint: endpoint,
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endpointOption: {
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model_parameters: clientOptions,
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},
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})
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)?.llmConfig ?? clientOptions;
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}
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if (/\b(o1|o3)\b/i.test(clientOptions.model) && clientOptions.maxTokens != null) {
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delete clientOptions.maxTokens;
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}
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try {
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const titleResult = await this.run.generateTitle({
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inputText: text,
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