mirror of
https://github.com/danny-avila/LibreChat.git
synced 2025-09-21 21:50:49 +02:00

* wip: first pass, dropdown for selecting sequential agents * refactor: Improve agent selection logic and enhance performance in SequentialAgents component * wip: seq. agents working ideas * wip: sequential agents style change * refactor: move agent form options/submission outside of AgentConfig * refactor: prevent repeating code * refactor: simplify current agent display in SequentialAgents component * feat: persist form value handling in AgentSelect component for agent_ids * feat: first pass, sequential agnets agent update * feat: enhance message display with agent updates and empty text handling * chore: update Icon component to use EModelEndpoint for agent endpoints * feat: update content type checks in BaseClient to use constants for better readability * feat: adjust max context tokens calculation to use 90% of the model's max tokens * feat: first pass, agent run message pruning * chore: increase max listeners for abort controller to prevent memory leaks * feat: enhance runAgent function to include current index count map for improved token tracking * chore: update @librechat/agents dependency to version 2.2.5 * feat: update icons and style of SequentialAgents component for improved UI consistency * feat: add AdvancedButton and AdvancedPanel components for enhanced agent settings navigation, update styling for agent form * chore: adjust minimum height of AdvancedPanel component for better layout consistency * chore: update @librechat/agents dependency to version 2.2.6 * feat: enhance message formatting by incorporating tool set into agent message processing, in order to allow better mix/matching of agents (as tool calls for tools not found in set will be stringified) * refactor: reorder components in AgentConfig for improved readability and maintainability * refactor: enhance layout of AgentUpdate component for improved visual structure * feat: add DeepSeek provider to Bedrock settings and schemas * feat: enhance link styling in mobile.css for better visibility and accessibility * fix: update banner model import in update banner script; export Banner model * refactor: `duplicateAgentHandler` to include tool_resources only for OCR context files * feat: add 'qwen-vl' to visionModels for enhanced model support * fix: change image format from JPEG to PNG in DALLE3 response * feat: reorganize Advanced components and add localizations * refactor: simplify JSX structure in AgentChain component to defer container styling to parent * feat: add FormInput component for reusable input handling * feat: make agent recursion limit configurable from builder * feat: add support for agent capabilities chain in AdvancedPanel and update data-provider version * feat: add maxRecursionLimit configuration for agents and update related documentation * fix: update CONFIG_VERSION to 1.2.3 in data provider configuration * feat: replace recursion limit input with MaxAgentSteps component and enhance input handling * feat: enhance AgentChain component with hover card for additional information and update related labels * fix: pass request and response objects to `createActionTool` when using assistant actions to prevent auth error * feat: update AgentChain component layout to include agent count display * feat: increase default max listeners and implement capability check function for agent chain * fix: update link styles in mobile.css for better visibility in dark mode * chore: temp. remove agents package while bumping shared packages * chore: update @langchain/google-genai package to version 0.1.11 * chore: update @langchain/google-vertexai package to version 0.2.2 * chore: add @librechat/agents package at version 2.2.8 * feat: add deepseek.r1 model with token rate and context values for bedrock
350 lines
12 KiB
TypeScript
350 lines
12 KiB
TypeScript
import { useCallback, useRef } from 'react';
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import { StepTypes, ContentTypes, ToolCallTypes, getNonEmptyValue } from 'librechat-data-provider';
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import type {
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Agents,
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TMessage,
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PartMetadata,
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EventSubmission,
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TMessageContentParts,
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} from 'librechat-data-provider';
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import type { SetterOrUpdater } from 'recoil';
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import type { AnnounceOptions } from '~/common';
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import { MESSAGE_UPDATE_INTERVAL } from '~/common';
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type TUseStepHandler = {
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announcePolite: (options: AnnounceOptions) => void;
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setMessages: (messages: TMessage[]) => void;
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getMessages: () => TMessage[] | undefined;
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setIsSubmitting: SetterOrUpdater<boolean>;
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lastAnnouncementTimeRef: React.MutableRefObject<number>;
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};
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type TStepEvent = {
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event: string;
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data:
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| Agents.MessageDeltaEvent
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| Agents.AgentUpdate
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| Agents.RunStep
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| Agents.ToolEndEvent
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| {
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runId?: string;
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message: string;
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};
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};
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type MessageDeltaUpdate = { type: ContentTypes.TEXT; text: string; tool_call_ids?: string[] };
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type ReasoningDeltaUpdate = { type: ContentTypes.THINK; think: string };
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type AllContentTypes =
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| ContentTypes.TEXT
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| ContentTypes.THINK
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| ContentTypes.TOOL_CALL
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| ContentTypes.IMAGE_FILE
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| ContentTypes.IMAGE_URL
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| ContentTypes.ERROR;
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export default function useStepHandler({
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setMessages,
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getMessages,
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setIsSubmitting,
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announcePolite,
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lastAnnouncementTimeRef,
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}: TUseStepHandler) {
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const toolCallIdMap = useRef(new Map<string, string | undefined>());
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const messageMap = useRef(new Map<string, TMessage>());
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const stepMap = useRef(new Map<string, Agents.RunStep>());
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const updateContent = (
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message: TMessage,
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index: number,
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contentPart: Agents.MessageContentComplex,
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finalUpdate = false,
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) => {
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const contentType = contentPart.type ?? '';
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if (!contentType) {
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console.warn('No content type found in content part');
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return message;
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}
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const updatedContent = [...(message.content || [])] as Array<
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Partial<TMessageContentParts> | undefined
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>;
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if (!updatedContent[index]) {
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updatedContent[index] = { type: contentPart.type as AllContentTypes };
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}
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if (
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contentType.startsWith(ContentTypes.TEXT) &&
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ContentTypes.TEXT in contentPart &&
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typeof contentPart.text === 'string'
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) {
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const currentContent = updatedContent[index] as MessageDeltaUpdate;
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const update: MessageDeltaUpdate = {
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type: ContentTypes.TEXT,
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text: (currentContent.text || '') + contentPart.text,
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};
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if (contentPart.tool_call_ids != null) {
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update.tool_call_ids = contentPart.tool_call_ids;
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}
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updatedContent[index] = update;
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} else if (
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contentType.startsWith(ContentTypes.AGENT_UPDATE) &&
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ContentTypes.AGENT_UPDATE in contentPart &&
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contentPart.agent_update
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) {
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const update: Agents.AgentUpdate = {
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type: ContentTypes.AGENT_UPDATE,
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agent_update: contentPart.agent_update,
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};
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updatedContent[index] = update;
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} else if (
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contentType.startsWith(ContentTypes.THINK) &&
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ContentTypes.THINK in contentPart &&
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typeof contentPart.think === 'string'
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) {
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const currentContent = updatedContent[index] as ReasoningDeltaUpdate;
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const update: ReasoningDeltaUpdate = {
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type: ContentTypes.THINK,
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think: (currentContent.think || '') + contentPart.think,
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};
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updatedContent[index] = update;
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} else if (contentType === ContentTypes.IMAGE_URL && 'image_url' in contentPart) {
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const currentContent = updatedContent[index] as {
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type: ContentTypes.IMAGE_URL;
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image_url: string;
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};
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updatedContent[index] = {
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...currentContent,
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};
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} else if (contentType === ContentTypes.TOOL_CALL && 'tool_call' in contentPart) {
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const existingContent = updatedContent[index] as Agents.ToolCallContent | undefined;
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const existingToolCall = existingContent?.tool_call;
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const toolCallArgs = (contentPart.tool_call.args as unknown as string | undefined) ?? '';
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const args = finalUpdate
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? contentPart.tool_call.args
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: (existingToolCall?.args ?? '') + toolCallArgs;
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const id = getNonEmptyValue([contentPart.tool_call.id, existingToolCall?.id]) ?? '';
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const name = getNonEmptyValue([contentPart.tool_call.name, existingToolCall?.name]) ?? '';
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const newToolCall: Agents.ToolCall & PartMetadata = {
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id,
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name,
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args,
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type: ToolCallTypes.TOOL_CALL,
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auth: contentPart.tool_call.auth,
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expires_at: contentPart.tool_call.expires_at,
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};
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if (finalUpdate) {
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newToolCall.progress = 1;
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newToolCall.output = contentPart.tool_call.output;
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}
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updatedContent[index] = {
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type: ContentTypes.TOOL_CALL,
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tool_call: newToolCall,
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};
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}
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return { ...message, content: updatedContent as TMessageContentParts[] };
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};
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return useCallback(
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({ event, data }: TStepEvent, submission: EventSubmission) => {
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const messages = getMessages() || [];
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const { userMessage } = submission;
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setIsSubmitting(true);
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const currentTime = Date.now();
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if (currentTime - lastAnnouncementTimeRef.current > MESSAGE_UPDATE_INTERVAL) {
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announcePolite({ message: 'composing', isStatus: true });
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lastAnnouncementTimeRef.current = currentTime;
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}
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if (event === 'on_run_step') {
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const runStep = data as Agents.RunStep;
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const responseMessageId = runStep.runId ?? '';
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if (!responseMessageId) {
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console.warn('No message id found in run step event');
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return;
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}
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stepMap.current.set(runStep.id, runStep);
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let response = messageMap.current.get(responseMessageId);
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if (!response) {
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const responseMessage = messages[messages.length - 1] as TMessage;
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response = {
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...responseMessage,
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parentMessageId: userMessage.messageId,
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conversationId: userMessage.conversationId,
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messageId: responseMessageId,
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content: [],
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};
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messageMap.current.set(responseMessageId, response);
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setMessages([...messages.slice(0, -1), response]);
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}
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// Store tool call IDs if present
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if (runStep.stepDetails.type === StepTypes.TOOL_CALLS) {
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runStep.stepDetails.tool_calls.forEach((toolCall) => {
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const toolCallId = toolCall.id ?? '';
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if ('id' in toolCall && toolCallId) {
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toolCallIdMap.current.set(runStep.id, toolCallId);
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}
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});
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}
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} else if (event === 'on_agent_update') {
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const { agent_update } = data as Agents.AgentUpdate;
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const responseMessageId = agent_update.runId || '';
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if (!responseMessageId) {
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console.warn('No message id found in agent update event');
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return;
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}
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const response = messageMap.current.get(responseMessageId);
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if (response) {
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const updatedResponse = updateContent(response, agent_update.index, data);
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messageMap.current.set(responseMessageId, updatedResponse);
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const currentMessages = getMessages() || [];
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setMessages([...currentMessages.slice(0, -1), updatedResponse]);
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}
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} else if (event === 'on_message_delta') {
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const messageDelta = data as Agents.MessageDeltaEvent;
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const runStep = stepMap.current.get(messageDelta.id);
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const responseMessageId = runStep?.runId ?? '';
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if (!runStep || !responseMessageId) {
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console.warn('No run step or runId found for message delta event');
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return;
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}
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const response = messageMap.current.get(responseMessageId);
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if (response && messageDelta.delta.content) {
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const contentPart = Array.isArray(messageDelta.delta.content)
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? messageDelta.delta.content[0]
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: messageDelta.delta.content;
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const updatedResponse = updateContent(response, runStep.index, contentPart);
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messageMap.current.set(responseMessageId, updatedResponse);
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const currentMessages = getMessages() || [];
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setMessages([...currentMessages.slice(0, -1), updatedResponse]);
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}
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} else if (event === 'on_reasoning_delta') {
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const reasoningDelta = data as Agents.ReasoningDeltaEvent;
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const runStep = stepMap.current.get(reasoningDelta.id);
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const responseMessageId = runStep?.runId ?? '';
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if (!runStep || !responseMessageId) {
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console.warn('No run step or runId found for reasoning delta event');
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return;
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}
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const response = messageMap.current.get(responseMessageId);
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if (response && reasoningDelta.delta.content != null) {
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const contentPart = Array.isArray(reasoningDelta.delta.content)
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? reasoningDelta.delta.content[0]
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: reasoningDelta.delta.content;
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const updatedResponse = updateContent(response, runStep.index, contentPart);
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messageMap.current.set(responseMessageId, updatedResponse);
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const currentMessages = getMessages() || [];
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setMessages([...currentMessages.slice(0, -1), updatedResponse]);
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}
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} else if (event === 'on_run_step_delta') {
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const runStepDelta = data as Agents.RunStepDeltaEvent;
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const runStep = stepMap.current.get(runStepDelta.id);
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const responseMessageId = runStep?.runId ?? '';
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if (!runStep || !responseMessageId) {
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console.warn('No run step or runId found for run step delta event');
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return;
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}
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const response = messageMap.current.get(responseMessageId);
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if (
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response &&
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runStepDelta.delta.type === StepTypes.TOOL_CALLS &&
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runStepDelta.delta.tool_calls
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) {
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let updatedResponse = { ...response };
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runStepDelta.delta.tool_calls.forEach((toolCallDelta) => {
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const toolCallId = toolCallIdMap.current.get(runStepDelta.id) ?? '';
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const contentPart: Agents.MessageContentComplex = {
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type: ContentTypes.TOOL_CALL,
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tool_call: {
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name: toolCallDelta.name ?? '',
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args: toolCallDelta.args ?? '',
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id: toolCallId,
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},
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};
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if (runStepDelta.delta.auth != null) {
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contentPart.tool_call.auth = runStepDelta.delta.auth;
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contentPart.tool_call.expires_at = runStepDelta.delta.expires_at;
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}
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updatedResponse = updateContent(updatedResponse, runStep.index, contentPart);
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});
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messageMap.current.set(responseMessageId, updatedResponse);
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const updatedMessages = messages.map((msg) =>
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msg.messageId === runStep.runId ? updatedResponse : msg,
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);
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setMessages(updatedMessages);
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}
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} else if (event === 'on_run_step_completed') {
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const { result } = data as unknown as { result: Agents.ToolEndEvent };
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const { id: stepId } = result;
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const runStep = stepMap.current.get(stepId);
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const responseMessageId = runStep?.runId ?? '';
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if (!runStep || !responseMessageId) {
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console.warn('No run step or runId found for completed tool call event');
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return;
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}
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const response = messageMap.current.get(responseMessageId);
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if (response) {
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let updatedResponse = { ...response };
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const contentPart: Agents.MessageContentComplex = {
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type: ContentTypes.TOOL_CALL,
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tool_call: result.tool_call,
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};
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updatedResponse = updateContent(updatedResponse, runStep.index, contentPart, true);
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messageMap.current.set(responseMessageId, updatedResponse);
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const updatedMessages = messages.map((msg) =>
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msg.messageId === runStep.runId ? updatedResponse : msg,
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);
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setMessages(updatedMessages);
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}
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}
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return () => {
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toolCallIdMap.current.clear();
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messageMap.current.clear();
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stepMap.current.clear();
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};
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},
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[getMessages, setIsSubmitting, lastAnnouncementTimeRef, announcePolite, setMessages],
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);
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}
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