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https://github.com/danny-avila/LibreChat.git
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* fix: agent initialization, add `collectedUsage` handling * style: improve side panel styling * refactor(loadAgent): Optimize order agent project ID retrieval * feat: code execution * fix: typing issues * feat: ExecuteCode content part * refactor: use local state for default collapsed state of analysis content parts * fix: code parsing in ExecuteCode component * chore: bump agents package, export loadAuthValues * refactor: Update handleTools.js to use EnvVar for code execution tool authentication * WIP * feat: download code outputs * fix(useEventHandlers): type issues * feat: backend handling for code outputs * Refactor: Remove console.log statement in Part.tsx * refactor: add attachments to TMessage/messageSchema * WIP: prelim handling for code outputs * feat: attachments rendering * refactor: improve attachments rendering * fix: attachments, nullish edge case, handle attachments from event stream, bump agents package * fix filename download * fix: tool assignment for 'run code' on agent creation * fix: image handling by adding attachments * refactor: prevent agent creation without provider/model * refactor: remove unnecessary space in agent creation success message * refactor: select first model if selecting provider from empty on form * fix: Agent avatar bug * fix: `defaultAgentFormValues` causing boolean typing issue and typeerror * fix: capabilities counting as tools, causing duplication of them * fix: formatted messages edge case where consecutive content text type parts with the latter having tool_call_ids would cause consecutive AI messages to be created. furthermore, content could not be an array for tool_use messages (anthropic limitation) * chore: bump @librechat/agents dependency to version 1.6.9 * feat: bedrock agents * feat: new Agents icon * feat: agent titling * feat: agent landing * refactor: allow sharing agent globally only if user is admin or author * feat: initial AgentPanelSkeleton * feat: AgentPanelSkeleton * feat: collaborative agents * chore: add potential authorName as part of schema * chore: Remove unnecessary console.log statement * WIP: agent model parameters * chore: ToolsDialog typing and tool related localization chnages * refactor: update tool instance type (latest langchain class), and rename google tool to 'google' proper * chore: add back tools * feat: Agent knowledge files upload * refactor: better verbiage for disabled knowledge * chore: debug logs for file deletions * chore: debug logs for file deletions * feat: upload/delete agent knowledge/file-search files * feat: file search UI for agents * feat: first pass, file search tool * chore: update default agent capabilities and info
138 lines
4.1 KiB
JavaScript
138 lines
4.1 KiB
JavaScript
// const {
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// ErrorTypes,
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// EModelEndpoint,
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// resolveHeaders,
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// mapModelToAzureConfig,
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// } = require('librechat-data-provider');
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// const { getUserKeyValues, checkUserKeyExpiry } = require('~/server/services/UserService');
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// const { isEnabled, isUserProvided } = require('~/server/utils');
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// const { getAzureCredentials } = require('~/utils');
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// const { OpenAIClient } = require('~/app');
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const { z } = require('zod');
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const { tool } = require('@langchain/core/tools');
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const { createContentAggregator } = require('@librechat/agents');
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const {
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EModelEndpoint,
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getResponseSender,
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providerEndpointMap,
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} = require('librechat-data-provider');
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const {
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getDefaultHandlers,
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createToolEndCallback,
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} = require('~/server/controllers/agents/callbacks');
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const initAnthropic = require('~/server/services/Endpoints/anthropic/initializeClient');
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const initOpenAI = require('~/server/services/Endpoints/openAI/initializeClient');
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const getBedrockOptions = require('~/server/services/Endpoints/bedrock/options');
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const { loadAgentTools } = require('~/server/services/ToolService');
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const AgentClient = require('~/server/controllers/agents/client');
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const { getModelMaxTokens } = require('~/utils');
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/* For testing errors */
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const _getWeather = tool(
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async ({ location }) => {
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if (location === 'SAN FRANCISCO') {
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return 'It\'s 60 degrees and foggy';
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} else if (location.toLowerCase() === 'san francisco') {
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throw new Error('Input queries must be all capitals');
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} else {
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throw new Error('Invalid input.');
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}
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},
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{
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name: 'get_weather',
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description: 'Call to get the current weather',
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schema: z.object({
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location: z.string(),
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}),
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},
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);
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const providerConfigMap = {
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[EModelEndpoint.openAI]: initOpenAI,
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[EModelEndpoint.azureOpenAI]: initOpenAI,
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[EModelEndpoint.anthropic]: initAnthropic,
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[EModelEndpoint.bedrock]: getBedrockOptions,
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};
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const initializeClient = async ({ req, res, endpointOption }) => {
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if (!endpointOption) {
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throw new Error('Endpoint option not provided');
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}
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// TODO: use endpointOption to determine options/modelOptions
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/** @type {Array<UsageMetadata>} */
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const collectedUsage = [];
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/** @type {ArtifactPromises} */
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const artifactPromises = [];
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const { contentParts, aggregateContent } = createContentAggregator();
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const toolEndCallback = createToolEndCallback({ req, res, artifactPromises });
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const eventHandlers = getDefaultHandlers({
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res,
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aggregateContent,
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toolEndCallback,
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collectedUsage,
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});
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if (!endpointOption.agent) {
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throw new Error('No agent promise provided');
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}
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/** @type {Agent | null} */
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const agent = await endpointOption.agent;
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if (!agent) {
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throw new Error('Agent not found');
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}
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const { tools, toolMap } = await loadAgentTools({
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req,
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tools: agent.tools,
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agent_id: agent.id,
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tool_resources: agent.tool_resources,
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// openAIApiKey: process.env.OPENAI_API_KEY,
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});
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let modelOptions = { model: agent.model };
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const getOptions = providerConfigMap[agent.provider];
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if (!getOptions) {
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throw new Error(`Provider ${agent.provider} not supported`);
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}
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// TODO: pass-in override settings that are specific to current run
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endpointOption.model_parameters.model = agent.model;
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const options = await getOptions({
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req,
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res,
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endpointOption,
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optionsOnly: true,
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overrideEndpoint: agent.provider,
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overrideModel: agent.model,
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});
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modelOptions = Object.assign(modelOptions, options.llmConfig);
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const sender = getResponseSender({
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...endpointOption,
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model: endpointOption.model_parameters.model,
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});
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const client = new AgentClient({
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req,
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agent,
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tools,
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sender,
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toolMap,
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contentParts,
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modelOptions,
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eventHandlers,
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collectedUsage,
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artifactPromises,
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endpoint: EModelEndpoint.agents,
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configOptions: options.configOptions,
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attachments: endpointOption.attachments,
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maxContextTokens:
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agent.max_context_tokens ??
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getModelMaxTokens(modelOptions.model, providerEndpointMap[agent.provider]),
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});
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return { client };
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};
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module.exports = { initializeClient };
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