mirror of
https://github.com/danny-avila/LibreChat.git
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* feat: Add thinking and thinkingBudget parameters for Bedrock Anthropic models * chore: Update @librechat/agents to version 2.1.8 * refactor: change region order in params * refactor: Add maxTokens parameter to conversation preset schema * refactor: Update agent client to use bedrockInputSchema and improve error handling for model parameters * refactor: streamline/optimize llmConfig initialization and saving for bedrock * fix: ensure config titleModel is used for all endpoints * refactor: enhance OpenAIClient and agent initialization to support endpoint checks for OpenRouter * chore: bump @google/generative-ai
259 lines
7.5 KiB
JavaScript
259 lines
7.5 KiB
JavaScript
const { createContentAggregator, Providers } = 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/initialize');
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const getBedrockOptions = require('~/server/services/Endpoints/bedrock/options');
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const initOpenAI = require('~/server/services/Endpoints/openAI/initialize');
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const initCustom = require('~/server/services/Endpoints/custom/initialize');
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const initGoogle = require('~/server/services/Endpoints/google/initialize');
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const generateArtifactsPrompt = require('~/app/clients/prompts/artifacts');
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const { getCustomEndpointConfig } = require('~/server/services/Config');
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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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const { getAgent } = require('~/models/Agent');
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const { logger } = require('~/config');
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const providerConfigMap = {
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[Providers.OLLAMA]: initCustom,
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[Providers.DEEPSEEK]: initCustom,
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[Providers.OPENROUTER]: initCustom,
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[EModelEndpoint.openAI]: initOpenAI,
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[EModelEndpoint.google]: initGoogle,
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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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/**
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*
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* @param {Promise<Array<MongoFile | null>> | undefined} _attachments
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* @param {AgentToolResources | undefined} _tool_resources
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* @returns {Promise<{ attachments: Array<MongoFile | undefined> | undefined, tool_resources: AgentToolResources | undefined }>}
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*/
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const primeResources = async (_attachments, _tool_resources) => {
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try {
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if (!_attachments) {
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return { attachments: undefined, tool_resources: _tool_resources };
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}
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/** @type {Array<MongoFile | undefined> | undefined} */
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const files = await _attachments;
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const attachments = [];
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const tool_resources = _tool_resources ?? {};
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for (const file of files) {
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if (!file) {
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continue;
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}
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if (file.metadata?.fileIdentifier) {
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const execute_code = tool_resources.execute_code ?? {};
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if (!execute_code.files) {
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tool_resources.execute_code = { ...execute_code, files: [] };
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}
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tool_resources.execute_code.files.push(file);
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} else if (file.embedded === true) {
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const file_search = tool_resources.file_search ?? {};
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if (!file_search.files) {
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tool_resources.file_search = { ...file_search, files: [] };
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}
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tool_resources.file_search.files.push(file);
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}
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attachments.push(file);
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}
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return { attachments, tool_resources };
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} catch (error) {
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logger.error('Error priming resources', error);
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return { attachments: _attachments, tool_resources: _tool_resources };
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}
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};
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/**
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* @param {object} params
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* @param {ServerRequest} params.req
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* @param {ServerResponse} params.res
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* @param {Agent} params.agent
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* @param {object} [params.endpointOption]
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* @param {AgentToolResources} [params.tool_resources]
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* @param {boolean} [params.isInitialAgent]
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* @returns {Promise<Agent>}
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*/
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const initializeAgentOptions = async ({
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req,
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res,
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agent,
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endpointOption,
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tool_resources,
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isInitialAgent = false,
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}) => {
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const { tools, toolContextMap } = await loadAgentTools({
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req,
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res,
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agent,
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tool_resources,
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});
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const provider = agent.provider;
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agent.endpoint = provider;
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let getOptions = providerConfigMap[provider];
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if (!getOptions && providerConfigMap[provider.toLowerCase()] != null) {
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agent.provider = provider.toLowerCase();
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getOptions = providerConfigMap[agent.provider];
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} else if (!getOptions) {
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const customEndpointConfig = await getCustomEndpointConfig(provider);
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if (!customEndpointConfig) {
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throw new Error(`Provider ${provider} not supported`);
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}
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getOptions = initCustom;
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agent.provider = Providers.OPENAI;
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}
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const model_parameters = Object.assign(
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{},
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agent.model_parameters ?? { model: agent.model },
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isInitialAgent === true ? endpointOption?.model_parameters : {},
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);
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const _endpointOption =
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isInitialAgent === true
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? Object.assign({}, endpointOption, { model_parameters })
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: { model_parameters };
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const options = await getOptions({
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req,
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res,
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optionsOnly: true,
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overrideEndpoint: provider,
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overrideModel: agent.model,
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endpointOption: _endpointOption,
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});
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if (options.provider != null) {
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agent.provider = options.provider;
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}
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agent.model_parameters = Object.assign(model_parameters, options.llmConfig);
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if (options.configOptions) {
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agent.model_parameters.configuration = options.configOptions;
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}
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if (!agent.model_parameters.model) {
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agent.model_parameters.model = agent.model;
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}
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if (typeof agent.artifacts === 'string' && agent.artifacts !== '') {
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agent.additional_instructions = generateArtifactsPrompt({
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endpoint: agent.provider,
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artifacts: agent.artifacts,
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});
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}
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const tokensModel =
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agent.provider === EModelEndpoint.azureOpenAI ? agent.model : agent.model_parameters.model;
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return {
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...agent,
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tools,
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toolContextMap,
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maxContextTokens:
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agent.max_context_tokens ??
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getModelMaxTokens(tokensModel, providerEndpointMap[provider]) ??
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4000,
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};
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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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// Initialize primary agent
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const primaryAgent = await endpointOption.agent;
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if (!primaryAgent) {
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throw new Error('Agent not found');
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}
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const { attachments, tool_resources } = await primeResources(
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endpointOption.attachments,
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primaryAgent.tool_resources,
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);
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const agentConfigs = new Map();
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// Handle primary agent
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const primaryConfig = await initializeAgentOptions({
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req,
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res,
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agent: primaryAgent,
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endpointOption,
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tool_resources,
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isInitialAgent: true,
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});
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const agent_ids = primaryConfig.agent_ids;
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if (agent_ids?.length) {
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for (const agentId of agent_ids) {
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const agent = await getAgent({ id: agentId });
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if (!agent) {
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throw new Error(`Agent ${agentId} not found`);
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}
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const config = await initializeAgentOptions({
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req,
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res,
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agent,
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endpointOption,
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});
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agentConfigs.set(agentId, config);
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}
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}
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const sender =
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primaryAgent.name ??
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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: primaryConfig,
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sender,
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attachments,
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contentParts,
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eventHandlers,
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collectedUsage,
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artifactPromises,
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spec: endpointOption.spec,
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iconURL: endpointOption.iconURL,
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agentConfigs,
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endpoint: EModelEndpoint.agents,
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maxContextTokens: primaryConfig.maxContextTokens,
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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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