mirror of
https://github.com/danny-avila/LibreChat.git
synced 2025-09-22 06:00:56 +02:00
299cabd6ed
* 🔧 feat: Enhance logging configuration for production and debug environments * 🔒 feat: Implement encryption and decryption functions for sensitive values in ActionService with URL encoding/decoding * refactor: optimize action service for agent tools * refactor: optimize action processing for Assistants API * fix: handle case where agent is not found in loadAgent function * refactor: improve error handling in API calls by throwing new Error with logAxiosError output * chore: bump @librechat/agents to 2.3.95, fixes "Invalid tool call structure: No preceding AIMessage with tool_call_ids" * refactor: enhance error logging in logAxiosError function to include response status * refactor: remove unused useModelSelection hook from Endpoint * refactor: add support for assistants in useSelectorEffects hook * refactor: replace string easing with imported easings in Landing component * chore: remove duplicate translation * refactor: update model selection logic and improve localization for UI elements * refactor: replace endpoint value checks with helper functions for agents and assistants * refactor: optimize display value logic and utilize useMemo for performance improvements * refactor: clean up imports and optimize display/icon value logic in endpoint components, fix spec selection * refactor: enhance error logging in axios utility to include stack traces for better debugging * refactor: update logging configuration to use DEBUG_LOGGING and streamline log level handling * refactor: adjust className for export menu button to improve layout consistency and remove unused title prop from ShareButton * refactor: update import path for logAxiosError utility to improve module organization and clarity * refactor: implement debounced search value setter in ModelSelectorContext for improved performance
62 lines
2 KiB
JavaScript
62 lines
2 KiB
JavaScript
const axios = require('axios');
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const { EModelEndpoint } = require('librechat-data-provider');
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const { logAxiosError } = require('~/utils');
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/**
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* @typedef {Object} RetrieveOptions
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* @property {string} thread_id - The ID of the thread to retrieve.
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* @property {string} run_id - The ID of the run to retrieve.
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* @property {number} [timeout] - Optional timeout for the API call.
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* @property {number} [maxRetries] - TODO: not yet implemented; Optional maximum number of retries for the API call.
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* @property {OpenAIClient} openai - Configuration and credentials for OpenAI API access.
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*/
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/**
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* Asynchronously retrieves data from an API endpoint based on provided thread and run IDs.
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*
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* @param {RetrieveOptions} options - The options for the retrieve operation.
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* @returns {Promise<Object>} The data retrieved from the API.
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*/
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async function retrieveRun({ thread_id, run_id, timeout, openai }) {
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const { apiKey, baseURL, httpAgent, organization } = openai;
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let url = `${baseURL}/threads/${thread_id}/runs/${run_id}`;
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let headers = {
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Authorization: `Bearer ${apiKey}`,
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'OpenAI-Beta': 'assistants=v1',
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};
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if (organization) {
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headers['OpenAI-Organization'] = organization;
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}
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/** @type {TAzureConfig | undefined} */
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const azureConfig = openai.req.app.locals[EModelEndpoint.azureOpenAI];
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if (azureConfig && azureConfig.assistants) {
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delete headers.Authorization;
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headers = { ...headers, ...openai._options.defaultHeaders };
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const queryParams = new URLSearchParams(openai._options.defaultQuery).toString();
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url = `${url}?${queryParams}`;
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}
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try {
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const axiosConfig = {
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headers: headers,
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timeout: timeout,
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};
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if (httpAgent) {
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axiosConfig.httpAgent = httpAgent;
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axiosConfig.httpsAgent = httpAgent;
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}
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const response = await axios.get(url, axiosConfig);
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return response.data;
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} catch (error) {
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const message = '[retrieveRun] Failed to retrieve run data:';
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throw new Error(logAxiosError({ message, error }));
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}
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}
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module.exports = { retrieveRun };
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