mirror of
https://github.com/danny-avila/LibreChat.git
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* feat: Add support for agent handoffs with edges in agent forms and schemas chore: Mark `agent_ids` field as deprecated in favor of edges across various schemas and types chore: Update dependencies for @langchain/core and @librechat/agents to latest versions chore: Update peer dependency for @librechat/agents to version 3.0.0-rc2 in package.json chore: Update @librechat/agents dependency to version 3.0.0-rc3 in package.json and package-lock.json feat: first pass, multi-agent handoffs fix: update output type to ToolMessage in memory handling functions fix: improve type checking for graphConfig in createRun function refactor: remove unused content filtering logic in AgentClient chore: update @librechat/agents dependency to version 3.0.0-rc4 in package.json and package-lock.json fix: update @langchain/core peer dependency version to ^0.3.72 in package.json and package-lock.json fix: update @librechat/agents dependency to version 3.0.0-rc6 in package.json and package-lock.json; refactor stream rate handling in various endpoints feat: Agent handoff UI chore: update @librechat/agents dependency to version 3.0.0-rc8 in package.json and package-lock.json fix: improve hasInfo condition and adjust UI element classes in AgentHandoff component refactor: remove current fixed agent display from AgentHandoffs component due to redundancy feat: enhance AgentHandoffs UI with localized beta label and improved layout chore: update @librechat/agents dependency to version 3.0.0-rc10 in package.json and package-lock.json feat: add `createSequentialChainEdges` function to add back agent chaining via multi-agents feat: update `createSequentialChainEdges` call to only provide conversation context between agents feat: deprecate Agent Chain functionality and update related methods for improved clarity * chore: update @librechat/agents dependency to version 3.0.0-rc11 in package.json and package-lock.json * refactor: remove unused addCacheControl function and related imports and import from @librechat/agents * chore: remove unused i18n keys * refactor: remove unused format export from index.ts * chore: update @librechat/agents to v3.0.0-rc13 * chore: remove BEDROCK_LEGACY provider from Providers enum * chore: update @librechat/agents to version 3.0.2 in package.json
220 lines
6.9 KiB
TypeScript
220 lines
6.9 KiB
TypeScript
import {
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Tools,
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Constants,
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ContentTypes,
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ToolCallTypes,
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imageGenTools,
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isImageVisionTool,
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} from 'librechat-data-provider';
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import { memo } from 'react';
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import type { TMessageContentParts, TAttachment } from 'librechat-data-provider';
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import { OpenAIImageGen, EmptyText, Reasoning, ExecuteCode, AgentUpdate, Text } from './Parts';
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import { ErrorMessage } from './MessageContent';
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import RetrievalCall from './RetrievalCall';
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import AgentHandoff from './AgentHandoff';
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import CodeAnalyze from './CodeAnalyze';
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import Container from './Container';
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import WebSearch from './WebSearch';
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import ToolCall from './ToolCall';
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import ImageGen from './ImageGen';
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import Image from './Image';
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type PartProps = {
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part?: TMessageContentParts;
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isLast?: boolean;
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isSubmitting: boolean;
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showCursor: boolean;
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isCreatedByUser: boolean;
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attachments?: TAttachment[];
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};
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const Part = memo(
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({ part, isSubmitting, attachments, isLast, showCursor, isCreatedByUser }: PartProps) => {
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if (!part) {
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return null;
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}
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if (part.type === ContentTypes.ERROR) {
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return (
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<ErrorMessage
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text={
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part[ContentTypes.ERROR] ??
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(typeof part[ContentTypes.TEXT] === 'string'
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? part[ContentTypes.TEXT]
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: part.text?.value) ??
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''
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}
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className="my-2"
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/>
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);
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} else if (part.type === ContentTypes.AGENT_UPDATE) {
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return (
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<>
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<AgentUpdate currentAgentId={part[ContentTypes.AGENT_UPDATE]?.agentId} />
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{isLast && showCursor && (
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<Container>
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<EmptyText />
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</Container>
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)}
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</>
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);
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} else if (part.type === ContentTypes.TEXT) {
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const text = typeof part.text === 'string' ? part.text : part.text?.value;
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if (typeof text !== 'string') {
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return null;
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}
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if (part.tool_call_ids != null && !text) {
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return null;
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}
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/** Skip rendering if text is only whitespace to avoid empty Container */
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if (!isLast && text.length > 0 && /^\s*$/.test(text)) {
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return null;
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}
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return (
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<Container>
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<Text text={text} isCreatedByUser={isCreatedByUser} showCursor={showCursor} />
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</Container>
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);
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} else if (part.type === ContentTypes.THINK) {
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const reasoning = typeof part.think === 'string' ? part.think : part.think?.value;
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if (typeof reasoning !== 'string') {
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return null;
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}
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return <Reasoning reasoning={reasoning} isLast={isLast ?? false} />;
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} else if (part.type === ContentTypes.TOOL_CALL) {
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const toolCall = part[ContentTypes.TOOL_CALL];
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if (!toolCall) {
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return null;
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}
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const isToolCall =
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'args' in toolCall && (!toolCall.type || toolCall.type === ToolCallTypes.TOOL_CALL);
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if (isToolCall && toolCall.name === Tools.execute_code) {
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return (
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<ExecuteCode
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attachments={attachments}
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isSubmitting={isSubmitting}
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output={toolCall.output ?? ''}
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initialProgress={toolCall.progress ?? 0.1}
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args={typeof toolCall.args === 'string' ? toolCall.args : ''}
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/>
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);
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} else if (
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isToolCall &&
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(toolCall.name === 'image_gen_oai' || toolCall.name === 'image_edit_oai')
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) {
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return (
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<OpenAIImageGen
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initialProgress={toolCall.progress ?? 0.1}
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isSubmitting={isSubmitting}
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toolName={toolCall.name}
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args={typeof toolCall.args === 'string' ? toolCall.args : ''}
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output={toolCall.output ?? ''}
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attachments={attachments}
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/>
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);
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} else if (isToolCall && toolCall.name === Tools.web_search) {
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return (
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<WebSearch
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output={toolCall.output ?? ''}
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initialProgress={toolCall.progress ?? 0.1}
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isSubmitting={isSubmitting}
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attachments={attachments}
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isLast={isLast}
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/>
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);
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} else if (isToolCall && toolCall.name?.startsWith(Constants.LC_TRANSFER_TO_)) {
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return (
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<AgentHandoff
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args={toolCall.args ?? ''}
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name={toolCall.name || ''}
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output={toolCall.output ?? ''}
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/>
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);
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} else if (isToolCall) {
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return (
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<ToolCall
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args={toolCall.args ?? ''}
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name={toolCall.name || ''}
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output={toolCall.output ?? ''}
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initialProgress={toolCall.progress ?? 0.1}
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isSubmitting={isSubmitting}
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attachments={attachments}
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auth={toolCall.auth}
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expires_at={toolCall.expires_at}
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/>
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);
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} else if (toolCall.type === ToolCallTypes.CODE_INTERPRETER) {
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const code_interpreter = toolCall[ToolCallTypes.CODE_INTERPRETER];
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return (
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<CodeAnalyze
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initialProgress={toolCall.progress ?? 0.1}
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code={code_interpreter.input}
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outputs={code_interpreter.outputs ?? []}
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/>
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);
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} else if (
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toolCall.type === ToolCallTypes.RETRIEVAL ||
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toolCall.type === ToolCallTypes.FILE_SEARCH
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) {
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return (
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<RetrievalCall initialProgress={toolCall.progress ?? 0.1} isSubmitting={isSubmitting} />
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);
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} else if (
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toolCall.type === ToolCallTypes.FUNCTION &&
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ToolCallTypes.FUNCTION in toolCall &&
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imageGenTools.has(toolCall.function.name)
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) {
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return (
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<ImageGen
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initialProgress={toolCall.progress ?? 0.1}
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args={toolCall.function.arguments as string}
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/>
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);
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} else if (toolCall.type === ToolCallTypes.FUNCTION && ToolCallTypes.FUNCTION in toolCall) {
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if (isImageVisionTool(toolCall)) {
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if (isSubmitting && showCursor) {
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return (
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<Container>
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<Text text={''} isCreatedByUser={isCreatedByUser} showCursor={showCursor} />
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</Container>
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);
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}
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return null;
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}
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return (
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<ToolCall
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initialProgress={toolCall.progress ?? 0.1}
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isSubmitting={isSubmitting}
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args={toolCall.function.arguments as string}
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name={toolCall.function.name}
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output={toolCall.function.output}
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/>
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);
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}
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} else if (part.type === ContentTypes.IMAGE_FILE) {
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const imageFile = part[ContentTypes.IMAGE_FILE];
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const height = imageFile.height ?? 1920;
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const width = imageFile.width ?? 1080;
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return (
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<Image
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imagePath={imageFile.filepath}
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height={height}
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width={width}
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altText={imageFile.filename ?? 'Uploaded Image'}
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placeholderDimensions={{
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height: height + 'px',
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width: width + 'px',
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}}
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/>
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);
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}
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return null;
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},
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);
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export default Part;
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