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* feat: Code Interpreter API & File Search Agent Uploads chore: add back code files wip: first pass, abstract key dialog refactor: influence checkbox on key changes refactor: update localization keys for 'execute code' to 'run code' wip: run code button refactor: add throwError parameter to loadAuthValues and getUserPluginAuthValue functions feat: first pass, API tool calling fix: handle missing toolId in callTool function and return 404 for non-existent tools feat: show code outputs fix: improve error handling in callTool function and log errors fix: handle potential null value for filepath in attachment destructuring fix: normalize language before rendering and prevent null return fix: add loading indicator in RunCode component while executing code feat: add support for conditional code execution in Markdown components feat: attachments refactor: remove bash fix: pass abort signal to graph/run refactor: debounce and rate limit tool call refactor: increase debounce delay for execute function feat: set code output attachments feat: image attachments refactor: apply message context refactor: pass `partIndex` feat: toolCall schema/model/methods feat: block indexing feat: get tool calls chore: imports chore: typing chore: condense type imports feat: get tool calls fix: block indexing chore: typing refactor: update tool calls mapping to support multiple results fix: add unique key to nav link for rendering wip: first pass, tool call results refactor: update query cache from successful tool call mutation style: improve result switcher styling chore: note on using \`.toObject()\` feat: add agent_id field to conversation schema chore: typing refactor: rename agentMap to agentsMap for consistency feat: Agent Name as chat input placeholder chore: bump agents 📦 chore: update @langchain dependencies to latest versions to match agents package 📦 chore: update @librechat/agents dependency to version 1.8.0 fix: Aborting agent stream removes sender; fix(bedrock): completion removes preset name label refactor: remove direct file parameter to use req.file, add `processAgentFileUpload` for image uploads feat: upload menu feat: prime message_file resources feat: implement conversation access validation in chat route refactor: remove file parameter from processFileUpload and use req.file instead feat: add savedMessageIds set to track saved message IDs in BaseClient, to prevent unnecessary double-write to db feat: prevent duplicate message saves by checking savedMessageIds in AgentController refactor: skip legacy RAG API handling for agents feat: add files field to convoSchema refactor: update request type annotations from Express.Request to ServerRequest in file processing functions feat: track conversation files fix: resendFiles, addPreviousAttachments handling feat: add ID validation for session_id and file_id in download route feat: entity_id for code file uploads/downloads fix: code file edge cases feat: delete related tool calls feat: add stream rate handling for LLM configuration feat: enhance system content with attached file information fix: improve error logging in resource priming function * WIP: PoC, sequential agents WIP: PoC Sequential Agents, first pass content data + bump agents package fix: package-lock WIP: PoC, o1 support, refactor bufferString feat: convertJsonSchemaToZod fix: form issues and schema defining erroneous model fix: max length issue on agent form instructions, limit conversation messages to sequential agents feat: add abort signal support to createRun function and AgentClient feat: PoC, hide prior sequential agent steps fix: update parameter naming from config to metadata in event handlers for clarity, add model to usage data refactor: use only last contentData, track model for usage data chore: bump agents package fix: content parts issue refactor: filter contentParts to include tool calls and relevant indices feat: show function calls refactor: filter context messages to exclude tool calls when no tools are available to the agent fix: ensure tool call content is not undefined in formatMessages feat: add agent_id field to conversationPreset schema feat: hide sequential agents feat: increase upload toast duration to 10 seconds * refactor: tool context handling & update Code API Key Dialog feat: toolContextMap chore: skipSpecs -> useSpecs ci: fix handleTools tests feat: API Key Dialog * feat: Agent Permissions Admin Controls feat: replace label with button for prompt permission toggle feat: update agent permissions feat: enable experimental agents and streamline capability configuration feat: implement access control for agents and enhance endpoint menu items feat: add welcome message for agent selection in localization feat: add agents permission to access control and update version to 0.7.57 * fix: update types in useAssistantListMap and useMentions hooks for better null handling * feat: mention agents * fix: agent tool resource race conditions when deleting agent tool resource files * feat: add error handling for code execution with user feedback * refactor: rename AdminControls to AdminSettings for clarity * style: add gap to button in AdminSettings for improved layout * refactor: separate agent query hooks and check access to enable fetching * fix: remove unused provider from agent initialization options, creates issue with custom endpoints * refactor: remove redundant/deprecated modelOptions from AgentClient processes * chore: update @librechat/agents to version 1.8.5 in package.json and package-lock.json * fix: minor styling issues + agent panel uniformity * fix: agent edge cases when set endpoint is no longer defined * refactor: remove unused cleanup function call from AppService * fix: update link in ApiKeyDialog to point to pricing page * fix: improve type handling and layout calculations in SidePanel component * fix: add missing localization string for agent selection in SidePanel * chore: form styling and localizations for upload filesearch/code interpreter * fix: model selection placeholder logic in AgentConfig component * style: agent capabilities * fix: add localization for provider selection and improve dropdown styling in ModelPanel * refactor: use gpt-4o-mini > gpt-3.5-turbo * fix: agents configuration for loadDefaultInterface and update related tests * feat: DALLE Agents support
81 lines
2.7 KiB
JavaScript
81 lines
2.7 KiB
JavaScript
const { ChatOpenAI } = require('@langchain/openai');
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const { sanitizeModelName, constructAzureURL } = require('~/utils');
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const { isEnabled } = require('~/server/utils');
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/**
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* Creates a new instance of a language model (LLM) for chat interactions.
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*
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* @param {Object} options - The options for creating the LLM.
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* @param {ModelOptions} options.modelOptions - The options specific to the model, including modelName, temperature, presence_penalty, frequency_penalty, and other model-related settings.
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* @param {ConfigOptions} options.configOptions - Configuration options for the API requests, including proxy settings and custom headers.
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* @param {Callbacks} [options.callbacks] - Callback functions for managing the lifecycle of the LLM, including token buffers, context, and initial message count.
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* @param {boolean} [options.streaming=false] - Determines if the LLM should operate in streaming mode.
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* @param {string} options.openAIApiKey - The API key for OpenAI, used for authentication.
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* @param {AzureOptions} [options.azure={}] - Optional Azure-specific configurations. If provided, Azure configurations take precedence over OpenAI configurations.
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*
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* @returns {ChatOpenAI} An instance of the ChatOpenAI class, configured with the provided options.
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*
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* @example
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* const llm = createLLM({
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* modelOptions: { modelName: 'gpt-4o-mini', temperature: 0.2 },
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* configOptions: { basePath: 'https://example.api/path' },
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* callbacks: { onMessage: handleMessage },
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* openAIApiKey: 'your-api-key'
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* });
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*/
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function createLLM({
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modelOptions,
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configOptions,
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callbacks,
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streaming = false,
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openAIApiKey,
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azure = {},
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}) {
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let credentials = { openAIApiKey };
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let configuration = {
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apiKey: openAIApiKey,
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};
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/** @type {AzureOptions} */
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let azureOptions = {};
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if (azure) {
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const useModelName = isEnabled(process.env.AZURE_USE_MODEL_AS_DEPLOYMENT_NAME);
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credentials = {};
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configuration = {};
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azureOptions = azure;
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azureOptions.azureOpenAIApiDeploymentName = useModelName
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? sanitizeModelName(modelOptions.modelName)
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: azureOptions.azureOpenAIApiDeploymentName;
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}
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if (azure && process.env.AZURE_OPENAI_DEFAULT_MODEL) {
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modelOptions.modelName = process.env.AZURE_OPENAI_DEFAULT_MODEL;
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}
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if (azure && configOptions.basePath) {
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const azureURL = constructAzureURL({
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baseURL: configOptions.basePath,
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azureOptions,
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});
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azureOptions.azureOpenAIBasePath = azureURL.split(
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`/${azureOptions.azureOpenAIApiDeploymentName}`,
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)[0];
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}
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return new ChatOpenAI(
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{
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streaming,
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credentials,
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configuration,
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...azureOptions,
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...modelOptions,
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...credentials,
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callbacks,
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},
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configOptions,
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);
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}
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module.exports = createLLM;
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