mirror of
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
144 lines
5.3 KiB
TypeScript
144 lines
5.3 KiB
TypeScript
import { useMemo } from 'react';
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import { EModelEndpoint, Constants } from 'librechat-data-provider';
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import { useGetEndpointsQuery, useGetStartupConfig } from 'librechat-data-provider/react-query';
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import type * as t from 'librechat-data-provider';
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import type { ReactNode } from 'react';
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import { useChatContext, useAgentsMapContext, useAssistantsMapContext } from '~/Providers';
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import { useGetAssistantDocsQuery } from '~/data-provider';
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import ConvoIcon from '~/components/Endpoints/ConvoIcon';
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import { getIconEndpoint, getEntity, cn } from '~/utils';
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import { useLocalize, useSubmitMessage } from '~/hooks';
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import { TooltipAnchor } from '~/components/ui';
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import { BirthdayIcon } from '~/components/svg';
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import ConvoStarter from './ConvoStarter';
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export default function Landing({ Header }: { Header?: ReactNode }) {
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const { conversation } = useChatContext();
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const agentsMap = useAgentsMapContext();
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const assistantMap = useAssistantsMapContext();
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const { data: startupConfig } = useGetStartupConfig();
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const { data: endpointsConfig } = useGetEndpointsQuery();
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const localize = useLocalize();
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let { endpoint = '' } = conversation ?? {};
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if (
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endpoint === EModelEndpoint.chatGPTBrowser ||
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endpoint === EModelEndpoint.azureOpenAI ||
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endpoint === EModelEndpoint.gptPlugins
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) {
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endpoint = EModelEndpoint.openAI;
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}
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const iconURL = conversation?.iconURL;
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endpoint = getIconEndpoint({ endpointsConfig, iconURL, endpoint });
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const { data: documentsMap = new Map() } = useGetAssistantDocsQuery(endpoint, {
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select: (data) => new Map(data.map((dbA) => [dbA.assistant_id, dbA])),
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});
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const { entity, isAgent, isAssistant } = getEntity({
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endpoint,
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agentsMap,
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assistantMap,
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agent_id: conversation?.agent_id,
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assistant_id: conversation?.assistant_id,
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});
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const name = entity?.name ?? '';
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const description = entity?.description ?? '';
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const avatar = isAgent
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? (entity as t.Agent | undefined)?.avatar?.filepath ?? ''
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: ((entity as t.Assistant | undefined)?.metadata?.avatar as string | undefined) ?? '';
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const conversation_starters = useMemo(() => {
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/* The user made updates, use client-side cache, or they exist in an Agent */
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if (entity && (entity.conversation_starters?.length ?? 0) > 0) {
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return entity.conversation_starters;
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}
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if (isAgent) {
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return entity?.conversation_starters ?? [];
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}
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/* If none in cache, we use the latest assistant docs */
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const entityDocs = documentsMap.get(entity?.id ?? '');
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return entityDocs?.conversation_starters ?? [];
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}, [documentsMap, isAgent, entity]);
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const containerClassName =
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'shadow-stroke relative flex h-full items-center justify-center rounded-full bg-white text-black';
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const { submitMessage } = useSubmitMessage();
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const sendConversationStarter = (text: string) => submitMessage({ text });
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const getWelcomeMessage = () => {
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const greeting = conversation?.greeting ?? '';
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if (greeting) {
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return greeting;
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}
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if (isAssistant) {
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return localize('com_nav_welcome_assistant');
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}
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if (isAgent) {
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return localize('com_nav_welcome_agent');
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}
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return localize('com_nav_welcome_message');
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};
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return (
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<div className="relative h-full">
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<div className="absolute left-0 right-0">{Header != null ? Header : null}</div>
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<div className="flex h-full flex-col items-center justify-center">
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<div className={cn('relative h-12 w-12', name && avatar ? 'mb-0' : 'mb-3')}>
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<ConvoIcon
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agentsMap={agentsMap}
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assistantMap={assistantMap}
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conversation={conversation}
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endpointsConfig={endpointsConfig}
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containerClassName={containerClassName}
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context="landing"
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className="h-2/3 w-2/3"
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size={41}
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/>
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{startupConfig?.showBirthdayIcon === true ? (
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<TooltipAnchor
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className="absolute bottom-8 right-2.5"
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description={localize('com_ui_happy_birthday')}
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>
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<BirthdayIcon />
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</TooltipAnchor>
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) : null}
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</div>
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{name ? (
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<div className="flex flex-col items-center gap-0 p-2">
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<div className="text-center text-2xl font-medium dark:text-white">{name}</div>
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<div className="max-w-md text-center text-sm font-normal text-text-primary ">
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{description ? description : localize('com_nav_welcome_message')}
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</div>
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{/* <div className="mt-1 flex items-center gap-1 text-token-text-tertiary">
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<div className="text-sm text-token-text-tertiary">By Daniel Avila</div>
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</div> */}
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</div>
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) : (
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<h2 className="mb-5 max-w-[75vh] px-12 text-center text-lg font-medium dark:text-white md:px-0 md:text-2xl">
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{getWelcomeMessage()}
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</h2>
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)}
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<div className="mt-8 flex flex-wrap justify-center gap-3 px-4">
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{conversation_starters.length > 0 &&
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conversation_starters
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.slice(0, Constants.MAX_CONVO_STARTERS)
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.map((text: string, index: number) => (
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<ConvoStarter
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key={index}
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text={text}
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onClick={() => sendConversationStarter(text)}
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/>
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))}
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</div>
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</div>
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</div>
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);
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}
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