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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
67 lines
2.2 KiB
JavaScript
67 lines
2.2 KiB
JavaScript
const { Run, Providers } = require('@librechat/agents');
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const { providerEndpointMap } = require('librechat-data-provider');
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/**
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* @typedef {import('@librechat/agents').t} t
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* @typedef {import('@librechat/agents').StreamEventData} StreamEventData
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* @typedef {import('@librechat/agents').ClientOptions} ClientOptions
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* @typedef {import('@librechat/agents').EventHandler} EventHandler
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* @typedef {import('@librechat/agents').GraphEvents} GraphEvents
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* @typedef {import('@librechat/agents').IState} IState
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*/
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/**
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* Creates a new Run instance with custom handlers and configuration.
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*
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* @param {Object} options - The options for creating the Run instance.
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* @param {ServerRequest} [options.req] - The server request.
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* @param {string | undefined} [options.runId] - Optional run ID; otherwise, a new run ID will be generated.
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* @param {Agent} options.agent - The agent for this run.
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* @param {StructuredTool[] | undefined} [options.tools] - The tools to use in the run.
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* @param {Record<string, StructuredTool[]> | undefined} [options.toolMap] - The tool map for the run.
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* @param {Record<GraphEvents, EventHandler> | undefined} [options.customHandlers] - Custom event handlers.
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* @param {ClientOptions} [options.modelOptions] - Optional model to use; if not provided, it will use the default from modelMap.
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* @param {boolean} [options.streaming=true] - Whether to use streaming.
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* @param {boolean} [options.streamUsage=true] - Whether to stream usage information.
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* @returns {Promise<Run<IState>>} A promise that resolves to a new Run instance.
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*/
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async function createRun({
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runId,
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tools,
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agent,
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toolMap,
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modelOptions,
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customHandlers,
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streaming = true,
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streamUsage = true,
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}) {
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const llmConfig = Object.assign(
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{
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provider: providerEndpointMap[agent.provider],
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streaming,
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streamUsage,
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},
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modelOptions,
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);
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const graphConfig = {
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tools,
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toolMap,
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llmConfig,
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instructions: agent.instructions,
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additional_instructions: agent.additional_instructions,
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};
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// TEMPORARY FOR TESTING
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if (agent.provider === Providers.ANTHROPIC) {
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graphConfig.streamBuffer = 2000;
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}
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return Run.create({
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runId,
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graphConfig,
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customHandlers,
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});
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}
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module.exports = { createRun };
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