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| 'use client'; | |
| import React, {useState, useRef, useEffect} from 'react'; | |
| import {FaChevronLeft, FaChevronRight } from 'react-icons/fa'; | |
| import Markdown from './Markdown'; | |
| import { useLanguage } from '@/contexts/LanguageContext'; | |
| import RepoInfo from '@/types/repoinfo'; | |
| import getRepoUrl from '@/utils/getRepoUrl'; | |
| import ModelSelectionModal from './ModelSelectionModal'; | |
| import { createChatWebSocket, closeWebSocket, ChatCompletionRequest } from '@/utils/websocketClient'; | |
| interface Model { | |
| id: string; | |
| name: string; | |
| } | |
| interface Provider { | |
| id: string; | |
| name: string; | |
| models: Model[]; | |
| supportsCustomModel?: boolean; | |
| } | |
| interface Message { | |
| role: 'user' | 'assistant' | 'system'; | |
| content: string; | |
| } | |
| interface ResearchStage { | |
| title: string; | |
| content: string; | |
| iteration: number; | |
| type: 'plan' | 'update' | 'conclusion'; | |
| } | |
| interface AskProps { | |
| repoInfo: RepoInfo; | |
| provider?: string; | |
| model?: string; | |
| isCustomModel?: boolean; | |
| customModel?: string; | |
| language?: string; | |
| onRef?: (ref: { clearConversation: () => void }) => void; | |
| } | |
| const Ask: React.FC<AskProps> = ({ | |
| repoInfo, | |
| provider = '', | |
| model = '', | |
| isCustomModel = false, | |
| customModel = '', | |
| language = 'en', | |
| onRef | |
| }) => { | |
| const [question, setQuestion] = useState(''); | |
| const [response, setResponse] = useState(''); | |
| const [isLoading, setIsLoading] = useState(false); | |
| const [deepResearch, setDeepResearch] = useState(false); | |
| // Model selection state | |
| const [selectedProvider, setSelectedProvider] = useState(provider); | |
| const [selectedModel, setSelectedModel] = useState(model); | |
| const [isCustomSelectedModel, setIsCustomSelectedModel] = useState(isCustomModel); | |
| const [customSelectedModel, setCustomSelectedModel] = useState(customModel); | |
| const [isModelSelectionModalOpen, setIsModelSelectionModalOpen] = useState(false); | |
| const [isComprehensiveView, setIsComprehensiveView] = useState(true); | |
| // Get language context for translations | |
| const { messages } = useLanguage(); | |
| // Research navigation state | |
| const [researchStages, setResearchStages] = useState<ResearchStage[]>([]); | |
| const [currentStageIndex, setCurrentStageIndex] = useState(0); | |
| const [conversationHistory, setConversationHistory] = useState<Message[]>([]); | |
| const [researchIteration, setResearchIteration] = useState(0); | |
| const [researchComplete, setResearchComplete] = useState(false); | |
| const inputRef = useRef<HTMLInputElement>(null); | |
| const responseRef = useRef<HTMLDivElement>(null); | |
| const providerRef = useRef(provider); | |
| const modelRef = useRef(model); | |
| // Focus input on component mount | |
| useEffect(() => { | |
| if (inputRef.current) { | |
| inputRef.current.focus(); | |
| } | |
| }, []); | |
| // Expose clearConversation method to parent component | |
| useEffect(() => { | |
| if (onRef) { | |
| onRef({ clearConversation }); | |
| } | |
| }, [onRef]); | |
| // Scroll to bottom of response when it changes | |
| useEffect(() => { | |
| if (responseRef.current) { | |
| responseRef.current.scrollTop = responseRef.current.scrollHeight; | |
| } | |
| }, [response]); | |
| // Close WebSocket when component unmounts | |
| useEffect(() => { | |
| return () => { | |
| closeWebSocket(webSocketRef.current); | |
| }; | |
| }, []); | |
| useEffect(() => { | |
| providerRef.current = provider; | |
| modelRef.current = model; | |
| }, [provider, model]); | |
| useEffect(() => { | |
| const fetchModel = async () => { | |
| try { | |
| setIsLoading(true); | |
| const response = await fetch('/api/models/config'); | |
| if (!response.ok) { | |
| throw new Error(`Error fetching model configurations: ${response.status}`); | |
| } | |
| const data = await response.json(); | |
| // use latest provider/model ref to check | |
| if(providerRef.current == '' || modelRef.current== '') { | |
| setSelectedProvider(data.defaultProvider); | |
| // Find the default provider and set its default model | |
| const selectedProvider = data.providers.find((p:Provider) => p.id === data.defaultProvider); | |
| if (selectedProvider && selectedProvider.models.length > 0) { | |
| setSelectedModel(selectedProvider.models[0].id); | |
| } | |
| } else { | |
| setSelectedProvider(providerRef.current); | |
| setSelectedModel(modelRef.current); | |
| } | |
| } catch (err) { | |
| console.error('Failed to fetch model configurations:', err); | |
| } finally { | |
| setIsLoading(false); | |
| } | |
| }; | |
| if(provider == '' || model == '') { | |
| fetchModel() | |
| } | |
| }, [provider, model]); | |
| const clearConversation = () => { | |
| setQuestion(''); | |
| setResponse(''); | |
| setConversationHistory([]); | |
| setResearchIteration(0); | |
| setResearchComplete(false); | |
| setResearchStages([]); | |
| setCurrentStageIndex(0); | |
| if (inputRef.current) { | |
| inputRef.current.focus(); | |
| } | |
| }; | |
| const downloadresponse = () =>{ | |
| const blob = new Blob([response], { type: 'text/markdown' }); | |
| const url = URL.createObjectURL(blob); | |
| const a = document.createElement('a'); | |
| a.href = url; | |
| a.download = `response-${new Date().toISOString().slice(0, 19).replace(/:/g, '-')}.md`; | |
| document.body.appendChild(a); | |
| a.click(); | |
| document.body.removeChild(a); | |
| URL.revokeObjectURL(url); | |
| } | |
| // Function to check if research is complete based on response content | |
| const checkIfResearchComplete = (content: string): boolean => { | |
| // Check for explicit final conclusion markers | |
| if (content.includes('## Final Conclusion')) { | |
| return true; | |
| } | |
| // Check for conclusion sections that don't indicate further research | |
| if ((content.includes('## Conclusion') || content.includes('## Summary')) && | |
| !content.includes('I will now proceed to') && | |
| !content.includes('Next Steps') && | |
| !content.includes('next iteration')) { | |
| return true; | |
| } | |
| // Check for phrases that explicitly indicate completion | |
| if (content.includes('This concludes our research') || | |
| content.includes('This completes our investigation') || | |
| content.includes('This concludes the deep research process') || | |
| content.includes('Key Findings and Implementation Details') || | |
| content.includes('In conclusion,') || | |
| (content.includes('Final') && content.includes('Conclusion'))) { | |
| return true; | |
| } | |
| // Check for topic-specific completion indicators | |
| if (content.includes('Dockerfile') && | |
| (content.includes('This Dockerfile') || content.includes('The Dockerfile')) && | |
| !content.includes('Next Steps') && | |
| !content.includes('In the next iteration')) { | |
| return true; | |
| } | |
| return false; | |
| }; | |
| // Function to extract research stages from the response | |
| const extractResearchStage = (content: string, iteration: number): ResearchStage | null => { | |
| // Check for research plan (first iteration) | |
| if (iteration === 1 && content.includes('## Research Plan')) { | |
| const planMatch = content.match(/## Research Plan([\s\S]*?)(?:## Next Steps|$)/); | |
| if (planMatch) { | |
| return { | |
| title: 'Research Plan', | |
| content: content, | |
| iteration: 1, | |
| type: 'plan' | |
| }; | |
| } | |
| } | |
| // Check for research updates (iterations 1-4) | |
| if (iteration >= 1 && iteration <= 4) { | |
| const updateMatch = content.match(new RegExp(`## Research Update ${iteration}([\\s\\S]*?)(?:## Next Steps|$)`)); | |
| if (updateMatch) { | |
| return { | |
| title: `Research Update ${iteration}`, | |
| content: content, | |
| iteration: iteration, | |
| type: 'update' | |
| }; | |
| } | |
| } | |
| // Check for final conclusion | |
| if (content.includes('## Final Conclusion')) { | |
| const conclusionMatch = content.match(/## Final Conclusion([\s\S]*?)$/); | |
| if (conclusionMatch) { | |
| return { | |
| title: 'Final Conclusion', | |
| content: content, | |
| iteration: iteration, | |
| type: 'conclusion' | |
| }; | |
| } | |
| } | |
| return null; | |
| }; | |
| // Function to navigate to a specific research stage | |
| const navigateToStage = (index: number) => { | |
| if (index >= 0 && index < researchStages.length) { | |
| setCurrentStageIndex(index); | |
| setResponse(researchStages[index].content); | |
| } | |
| }; | |
| // Function to navigate to the next research stage | |
| const navigateToNextStage = () => { | |
| if (currentStageIndex < researchStages.length - 1) { | |
| navigateToStage(currentStageIndex + 1); | |
| } | |
| }; | |
| // Function to navigate to the previous research stage | |
| const navigateToPreviousStage = () => { | |
| if (currentStageIndex > 0) { | |
| navigateToStage(currentStageIndex - 1); | |
| } | |
| }; | |
| // WebSocket reference | |
| const webSocketRef = useRef<WebSocket | null>(null); | |
| // Function to continue research automatically | |
| const continueResearch = async () => { | |
| if (!deepResearch || researchComplete || !response || isLoading) return; | |
| // Add a small delay to allow the user to read the current response | |
| await new Promise(resolve => setTimeout(resolve, 2000)); | |
| setIsLoading(true); | |
| try { | |
| // Store the current response for use in the history | |
| const currentResponse = response; | |
| // Create a new message from the AI's previous response | |
| const newHistory: Message[] = [ | |
| ...conversationHistory, | |
| { | |
| role: 'assistant', | |
| content: currentResponse | |
| }, | |
| { | |
| role: 'user', | |
| content: '[DEEP RESEARCH] Continue the research' | |
| } | |
| ]; | |
| // Update conversation history | |
| setConversationHistory(newHistory); | |
| // Increment research iteration | |
| const newIteration = researchIteration + 1; | |
| setResearchIteration(newIteration); | |
| // Clear previous response | |
| setResponse(''); | |
| // Prepare the request body | |
| const requestBody: ChatCompletionRequest = { | |
| repo_url: getRepoUrl(repoInfo), | |
| type: repoInfo.type, | |
| messages: newHistory.map(msg => ({ role: msg.role as 'user' | 'assistant', content: msg.content })), | |
| provider: selectedProvider, | |
| model: isCustomSelectedModel ? customSelectedModel : selectedModel, | |
| language: language | |
| }; | |
| // Add tokens if available | |
| if (repoInfo?.token) { | |
| requestBody.token = repoInfo.token; | |
| } | |
| // Close any existing WebSocket connection | |
| closeWebSocket(webSocketRef.current); | |
| let fullResponse = ''; | |
| // Create a new WebSocket connection | |
| webSocketRef.current = createChatWebSocket( | |
| requestBody, | |
| // Message handler | |
| (message: string) => { | |
| fullResponse += message; | |
| setResponse(fullResponse); | |
| // Extract research stage if this is a deep research response | |
| if (deepResearch) { | |
| const stage = extractResearchStage(fullResponse, newIteration); | |
| if (stage) { | |
| // Add the stage to the research stages if it's not already there | |
| setResearchStages(prev => { | |
| // Check if we already have this stage | |
| const existingStageIndex = prev.findIndex(s => s.iteration === stage.iteration && s.type === stage.type); | |
| if (existingStageIndex >= 0) { | |
| // Update existing stage | |
| const newStages = [...prev]; | |
| newStages[existingStageIndex] = stage; | |
| return newStages; | |
| } else { | |
| // Add new stage | |
| return [...prev, stage]; | |
| } | |
| }); | |
| // Update current stage index to the latest stage | |
| setCurrentStageIndex(researchStages.length); | |
| } | |
| } | |
| }, | |
| // Error handler | |
| (error: Event) => { | |
| console.error('WebSocket error:', error); | |
| setResponse(prev => prev + '\n\nError: WebSocket connection failed. Falling back to HTTP...'); | |
| // Fallback to HTTP if WebSocket fails | |
| fallbackToHttp(requestBody); | |
| }, | |
| // Close handler | |
| () => { | |
| // Check if research is complete when the WebSocket closes | |
| const isComplete = checkIfResearchComplete(fullResponse); | |
| // Force completion after a maximum number of iterations (5) | |
| const forceComplete = newIteration >= 5; | |
| if (forceComplete && !isComplete) { | |
| // If we're forcing completion, append a comprehensive conclusion to the response | |
| const completionNote = "\n\n## Final Conclusion\nAfter multiple iterations of deep research, we've gathered significant insights about this topic. This concludes our investigation process, having reached the maximum number of research iterations. The findings presented across all iterations collectively form our comprehensive answer to the original question."; | |
| fullResponse += completionNote; | |
| setResponse(fullResponse); | |
| setResearchComplete(true); | |
| } else { | |
| setResearchComplete(isComplete); | |
| } | |
| setIsLoading(false); | |
| } | |
| ); | |
| } catch (error) { | |
| console.error('Error during API call:', error); | |
| setResponse(prev => prev + '\n\nError: Failed to continue research. Please try again.'); | |
| setResearchComplete(true); | |
| setIsLoading(false); | |
| } | |
| }; | |
| // Fallback to HTTP if WebSocket fails | |
| const fallbackToHttp = async (requestBody: ChatCompletionRequest) => { | |
| try { | |
| // Make the API call using HTTP | |
| const apiResponse = await fetch(`/api/chat/stream`, { | |
| method: 'POST', | |
| headers: { | |
| 'Content-Type': 'application/json', | |
| }, | |
| body: JSON.stringify(requestBody) | |
| }); | |
| if (!apiResponse.ok) { | |
| throw new Error(`API error: ${apiResponse.status}`); | |
| } | |
| // Process the streaming response | |
| const reader = apiResponse.body?.getReader(); | |
| const decoder = new TextDecoder(); | |
| if (!reader) { | |
| throw new Error('Failed to get response reader'); | |
| } | |
| // Read the stream | |
| let fullResponse = ''; | |
| while (true) { | |
| const { done, value } = await reader.read(); | |
| if (done) break; | |
| const chunk = decoder.decode(value, { stream: true }); | |
| fullResponse += chunk; | |
| setResponse(fullResponse); | |
| // Extract research stage if this is a deep research response | |
| if (deepResearch) { | |
| const stage = extractResearchStage(fullResponse, researchIteration); | |
| if (stage) { | |
| // Add the stage to the research stages | |
| setResearchStages(prev => { | |
| const existingStageIndex = prev.findIndex(s => s.iteration === stage.iteration && s.type === stage.type); | |
| if (existingStageIndex >= 0) { | |
| const newStages = [...prev]; | |
| newStages[existingStageIndex] = stage; | |
| return newStages; | |
| } else { | |
| return [...prev, stage]; | |
| } | |
| }); | |
| } | |
| } | |
| } | |
| // Check if research is complete | |
| const isComplete = checkIfResearchComplete(fullResponse); | |
| // Force completion after a maximum number of iterations (5) | |
| const forceComplete = researchIteration >= 5; | |
| if (forceComplete && !isComplete) { | |
| // If we're forcing completion, append a comprehensive conclusion to the response | |
| const completionNote = "\n\n## Final Conclusion\nAfter multiple iterations of deep research, we've gathered significant insights about this topic. This concludes our investigation process, having reached the maximum number of research iterations. The findings presented across all iterations collectively form our comprehensive answer to the original question."; | |
| fullResponse += completionNote; | |
| setResponse(fullResponse); | |
| setResearchComplete(true); | |
| } else { | |
| setResearchComplete(isComplete); | |
| } | |
| } catch (error) { | |
| console.error('Error during HTTP fallback:', error); | |
| setResponse(prev => prev + '\n\nError: Failed to get a response. Please try again.'); | |
| setResearchComplete(true); | |
| } finally { | |
| setIsLoading(false); | |
| } | |
| }; | |
| // Effect to continue research when response is updated | |
| useEffect(() => { | |
| if (deepResearch && response && !isLoading && !researchComplete) { | |
| const isComplete = checkIfResearchComplete(response); | |
| if (isComplete) { | |
| setResearchComplete(true); | |
| } else if (researchIteration > 0 && researchIteration < 5) { | |
| // Only auto-continue if we're already in a research process and haven't reached max iterations | |
| // Use setTimeout to avoid potential infinite loops | |
| const timer = setTimeout(() => { | |
| continueResearch(); | |
| }, 1000); | |
| return () => clearTimeout(timer); | |
| } | |
| } | |
| // eslint-disable-next-line react-hooks/exhaustive-deps | |
| }, [response, isLoading, deepResearch, researchComplete, researchIteration]); | |
| // Effect to update research stages when the response changes | |
| useEffect(() => { | |
| if (deepResearch && response && !isLoading) { | |
| // Try to extract a research stage from the response | |
| const stage = extractResearchStage(response, researchIteration); | |
| if (stage) { | |
| // Add or update the stage in the research stages | |
| setResearchStages(prev => { | |
| // Check if we already have this stage | |
| const existingStageIndex = prev.findIndex(s => s.iteration === stage.iteration && s.type === stage.type); | |
| if (existingStageIndex >= 0) { | |
| // Update existing stage | |
| const newStages = [...prev]; | |
| newStages[existingStageIndex] = stage; | |
| return newStages; | |
| } else { | |
| // Add new stage | |
| return [...prev, stage]; | |
| } | |
| }); | |
| // Update current stage index to point to this stage | |
| setCurrentStageIndex(prev => { | |
| const newIndex = researchStages.findIndex(s => s.iteration === stage.iteration && s.type === stage.type); | |
| return newIndex >= 0 ? newIndex : prev; | |
| }); | |
| } | |
| } | |
| // eslint-disable-next-line react-hooks/exhaustive-deps | |
| }, [response, isLoading, deepResearch, researchIteration]); | |
| const handleSubmit = async (e: React.FormEvent) => { | |
| e.preventDefault(); | |
| if (!question.trim() || isLoading) return; | |
| handleConfirmAsk(); | |
| }; | |
| // Handle confirm and send request | |
| const handleConfirmAsk = async () => { | |
| setIsLoading(true); | |
| setResponse(''); | |
| setResearchIteration(0); | |
| setResearchComplete(false); | |
| try { | |
| // Create initial message | |
| const initialMessage: Message = { | |
| role: 'user', | |
| content: deepResearch ? `[DEEP RESEARCH] ${question}` : question | |
| }; | |
| // Set initial conversation history | |
| const newHistory: Message[] = [initialMessage]; | |
| setConversationHistory(newHistory); | |
| // Prepare request body | |
| const requestBody: ChatCompletionRequest = { | |
| repo_url: getRepoUrl(repoInfo), | |
| type: repoInfo.type, | |
| messages: newHistory.map(msg => ({ role: msg.role as 'user' | 'assistant', content: msg.content })), | |
| provider: selectedProvider, | |
| model: isCustomSelectedModel ? customSelectedModel : selectedModel, | |
| language: language | |
| }; | |
| // Add tokens if available | |
| if (repoInfo?.token) { | |
| requestBody.token = repoInfo.token; | |
| } | |
| // Close any existing WebSocket connection | |
| closeWebSocket(webSocketRef.current); | |
| let fullResponse = ''; | |
| // Create a new WebSocket connection | |
| webSocketRef.current = createChatWebSocket( | |
| requestBody, | |
| // Message handler | |
| (message: string) => { | |
| fullResponse += message; | |
| setResponse(fullResponse); | |
| // Extract research stage if this is a deep research response | |
| if (deepResearch) { | |
| const stage = extractResearchStage(fullResponse, 1); // First iteration | |
| if (stage) { | |
| // Add the stage to the research stages | |
| setResearchStages([stage]); | |
| setCurrentStageIndex(0); | |
| } | |
| } | |
| }, | |
| // Error handler | |
| (error: Event) => { | |
| console.error('WebSocket error:', error); | |
| setResponse(prev => prev + '\n\nError: WebSocket connection failed. Falling back to HTTP...'); | |
| // Fallback to HTTP if WebSocket fails | |
| fallbackToHttp(requestBody); | |
| }, | |
| // Close handler | |
| () => { | |
| // If deep research is enabled, check if we should continue | |
| if (deepResearch) { | |
| const isComplete = checkIfResearchComplete(fullResponse); | |
| setResearchComplete(isComplete); | |
| // If not complete, start the research process | |
| if (!isComplete) { | |
| setResearchIteration(1); | |
| // The continueResearch function will be triggered by the useEffect | |
| } | |
| } | |
| setIsLoading(false); | |
| } | |
| ); | |
| } catch (error) { | |
| console.error('Error during API call:', error); | |
| setResponse(prev => prev + '\n\nError: Failed to get a response. Please try again.'); | |
| setResearchComplete(true); | |
| setIsLoading(false); | |
| } | |
| }; | |
| const [buttonWidth, setButtonWidth] = useState(0); | |
| const buttonRef = useRef<HTMLButtonElement>(null); | |
| // Measure button width and update state | |
| useEffect(() => { | |
| if (buttonRef.current) { | |
| const width = buttonRef.current.offsetWidth; | |
| setButtonWidth(width); | |
| } | |
| }, [messages.ask?.askButton, isLoading]); | |
| return ( | |
| <div> | |
| <div className="p-4"> | |
| <div className="flex items-center justify-end mb-4"> | |
| {/* Model selection button */} | |
| <button | |
| type="button" | |
| onClick={() => setIsModelSelectionModalOpen(true)} | |
| className="text-xs px-2.5 py-1 rounded border border-[var(--border-color)]/40 bg-[var(--background)]/10 text-[var(--foreground)]/80 hover:bg-[var(--background)]/30 hover:text-[var(--foreground)] transition-colors flex items-center gap-1.5" | |
| > | |
| <span>{selectedProvider}/{isCustomSelectedModel ? customSelectedModel : selectedModel}</span> | |
| <svg className="h-3.5 w-3.5 text-[var(--accent-primary)]/70" fill="none" viewBox="0 0 24 24" stroke="currentColor"> | |
| <path strokeLinecap="round" strokeLinejoin="round" strokeWidth={1.5} d="M11 5H6a2 2 0 00-2 2v11a2 2 0 002 2h11a2 2 0 002-2v-5m-1.414-9.414a2 2 0 112.828 2.828L11.828 15H9v-2.828l8.586-8.586z" /> | |
| </svg> | |
| </button> | |
| </div> | |
| {/* Question input */} | |
| <form onSubmit={handleSubmit} className="mt-4"> | |
| <div className="relative"> | |
| <input | |
| ref={inputRef} | |
| type="text" | |
| value={question} | |
| onChange={(e) => setQuestion(e.target.value)} | |
| placeholder={messages.ask?.placeholder || 'What would you like to know about this codebase?'} | |
| className="block w-full rounded-md border border-[var(--border-color)] bg-[var(--input-bg)] text-[var(--foreground)] px-5 py-3.5 text-base shadow-sm focus:border-[var(--accent-primary)] focus:ring-2 focus:ring-[var(--accent-primary)]/30 focus:outline-none transition-all" | |
| style={{ paddingRight: `${buttonWidth + 24}px` }} | |
| disabled={isLoading} | |
| /> | |
| <button | |
| ref={buttonRef} | |
| type="submit" | |
| disabled={isLoading || !question.trim()} | |
| className={`absolute right-3 top-1/2 transform -translate-y-1/2 px-4 py-2 rounded-md font-medium text-sm ${ | |
| isLoading || !question.trim() | |
| ? 'bg-[var(--button-disabled-bg)] text-[var(--button-disabled-text)] cursor-not-allowed' | |
| : 'bg-[var(--accent-primary)] text-white hover:bg-[var(--accent-primary)]/90 shadow-sm' | |
| } transition-all duration-200 flex items-center gap-1.5`} | |
| > | |
| {isLoading ? ( | |
| <div className="w-4 h-4 rounded-full border-2 border-t-transparent border-white animate-spin" /> | |
| ) : ( | |
| <> | |
| <svg className="w-4 h-4" fill="none" viewBox="0 0 24 24" stroke="currentColor"> | |
| <path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M13 5l7 7-7 7M5 5l7 7-7 7" /> | |
| </svg> | |
| <span>{messages.ask?.askButton || 'Ask'}</span> | |
| </> | |
| )} | |
| </button> | |
| </div> | |
| {/* Deep Research toggle */} | |
| <div className="flex items-center mt-2 justify-between"> | |
| <div className="group relative"> | |
| <label className="flex items-center cursor-pointer"> | |
| <span className="text-xs text-gray-600 dark:text-gray-400 mr-2">Deep Research</span> | |
| <div className="relative"> | |
| <input | |
| type="checkbox" | |
| checked={deepResearch} | |
| onChange={() => setDeepResearch(!deepResearch)} | |
| className="sr-only" | |
| /> | |
| <div className={`w-10 h-5 rounded-full transition-colors ${deepResearch ? 'bg-purple-600' : 'bg-gray-300 dark:bg-gray-600'}`}></div> | |
| <div className={`absolute left-0.5 top-0.5 w-4 h-4 rounded-full bg-white transition-transform transform ${deepResearch ? 'translate-x-5' : ''}`}></div> | |
| </div> | |
| </label> | |
| <div className="absolute bottom-full left-0 mb-2 hidden group-hover:block bg-gray-800 text-white text-xs rounded p-2 w-72 z-10"> | |
| <div className="relative"> | |
| <div className="absolute -bottom-2 left-4 w-0 h-0 border-l-4 border-r-4 border-t-4 border-transparent border-t-gray-800"></div> | |
| <p className="mb-1">Deep Research conducts a multi-turn investigation process:</p> | |
| <ul className="list-disc pl-4 text-xs"> | |
| <li><strong>Initial Research:</strong> Creates a research plan and initial findings</li> | |
| <li><strong>Iteration 1:</strong> Explores specific aspects in depth</li> | |
| <li><strong>Iteration 2:</strong> Investigates remaining questions</li> | |
| <li><strong>Iterations 3-4:</strong> Dives deeper into complex areas</li> | |
| <li><strong>Final Conclusion:</strong> Comprehensive answer based on all iterations</li> | |
| </ul> | |
| <p className="mt-1 text-xs italic">The AI automatically continues research until complete (up to 5 iterations)</p> | |
| </div> | |
| </div> | |
| </div> | |
| {deepResearch && ( | |
| <div className="text-xs text-purple-600 dark:text-purple-400"> | |
| Multi-turn research process enabled | |
| {researchIteration > 0 && !researchComplete && ` (iteration ${researchIteration})`} | |
| {researchComplete && ` (complete)`} | |
| </div> | |
| )} | |
| </div> | |
| </form> | |
| {/* Response area */} | |
| {response && ( | |
| <div className="border-t border-gray-200 dark:border-gray-700 mt-4"> | |
| <div | |
| ref={responseRef} | |
| className="p-4 max-h-[500px] overflow-y-auto" | |
| > | |
| <Markdown content={response} /> | |
| </div> | |
| {/* Research navigation and clear button */} | |
| <div className="p-2 flex justify-between items-center border-t border-gray-200 dark:border-gray-700"> | |
| {/* Research navigation */} | |
| {deepResearch && researchStages.length > 1 && ( | |
| <div className="flex items-center space-x-2"> | |
| <button | |
| onClick={() => navigateToPreviousStage()} | |
| disabled={currentStageIndex === 0} | |
| className={`p-1 rounded-md ${currentStageIndex === 0 ? 'text-gray-400 dark:text-gray-600' : 'text-gray-600 dark:text-gray-400 hover:bg-gray-200 dark:hover:bg-gray-700'}`} | |
| aria-label="Previous stage" | |
| > | |
| <FaChevronLeft size={12} /> | |
| </button> | |
| <div className="text-xs text-gray-600 dark:text-gray-400"> | |
| {currentStageIndex + 1} / {researchStages.length} | |
| </div> | |
| <button | |
| onClick={() => navigateToNextStage()} | |
| disabled={currentStageIndex === researchStages.length - 1} | |
| className={`p-1 rounded-md ${currentStageIndex === researchStages.length - 1 ? 'text-gray-400 dark:text-gray-600' : 'text-gray-600 dark:text-gray-400 hover:bg-gray-200 dark:hover:bg-gray-700'}`} | |
| aria-label="Next stage" | |
| > | |
| <FaChevronRight size={12} /> | |
| </button> | |
| <div className="text-xs text-gray-600 dark:text-gray-400 ml-2"> | |
| {researchStages[currentStageIndex]?.title || `Stage ${currentStageIndex + 1}`} | |
| </div> | |
| </div> | |
| )} | |
| <div className="flex items-center space-x-2"> | |
| {/* Download button */} | |
| <button | |
| onClick={downloadresponse} | |
| className="text-xs text-gray-500 dark:text-gray-400 hover:text-green-600 dark:hover:text-green-400 px-2 py-1 rounded-md hover:bg-gray-200 dark:hover:bg-gray-700 flex items-center gap-1" | |
| title="Download response as markdown file" | |
| > | |
| <svg className="w-3 h-3" fill="none" viewBox="0 0 24 24" stroke="currentColor"> | |
| <path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M12 10v6m0 0l-3-3m3 3l3-3m2 8H7a2 2 0 01-2-2V5a2 2 0 012-2h5.586a1 1 0 01.707.293l5.414 5.414a1 1 0 01.293.707V19a2 2 0 01-2 2z" /> | |
| </svg> | |
| Download | |
| </button> | |
| {/* Clear button */} | |
| <button | |
| id="ask-clear-conversation" | |
| onClick={clearConversation} | |
| className="text-xs text-gray-500 dark:text-gray-400 hover:text-purple-600 dark:hover:text-purple-400 px-2 py-1 rounded-md hover:bg-gray-200 dark:hover:bg-gray-700" | |
| > | |
| Clear conversation | |
| </button> | |
| </div> | |
| </div> | |
| </div> | |
| )} | |
| {/* Loading indicator */} | |
| {isLoading && !response && ( | |
| <div className="p-4 border-t border-gray-200 dark:border-gray-700"> | |
| <div className="flex items-center space-x-2"> | |
| <div className="animate-pulse flex space-x-1"> | |
| <div className="h-2 w-2 bg-purple-600 rounded-full"></div> | |
| <div className="h-2 w-2 bg-purple-600 rounded-full"></div> | |
| <div className="h-2 w-2 bg-purple-600 rounded-full"></div> | |
| </div> | |
| <span className="text-xs text-gray-500 dark:text-gray-400"> | |
| {deepResearch | |
| ? (researchIteration === 0 | |
| ? "Planning research approach..." | |
| : `Research iteration ${researchIteration} in progress...`) | |
| : "Thinking..."} | |
| </span> | |
| </div> | |
| {deepResearch && ( | |
| <div className="mt-2 text-xs text-gray-500 dark:text-gray-400 pl-5"> | |
| <div className="flex flex-col space-y-1"> | |
| {researchIteration === 0 && ( | |
| <> | |
| <div className="flex items-center"> | |
| <div className="w-2 h-2 bg-blue-500 rounded-full mr-2"></div> | |
| <span>Creating research plan...</span> | |
| </div> | |
| <div className="flex items-center"> | |
| <div className="w-2 h-2 bg-green-500 rounded-full mr-2"></div> | |
| <span>Identifying key areas to investigate...</span> | |
| </div> | |
| </> | |
| )} | |
| {researchIteration === 1 && ( | |
| <> | |
| <div className="flex items-center"> | |
| <div className="w-2 h-2 bg-blue-500 rounded-full mr-2"></div> | |
| <span>Exploring first research area in depth...</span> | |
| </div> | |
| <div className="flex items-center"> | |
| <div className="w-2 h-2 bg-green-500 rounded-full mr-2"></div> | |
| <span>Analyzing code patterns and structures...</span> | |
| </div> | |
| </> | |
| )} | |
| {researchIteration === 2 && ( | |
| <> | |
| <div className="flex items-center"> | |
| <div className="w-2 h-2 bg-amber-500 rounded-full mr-2"></div> | |
| <span>Investigating remaining questions...</span> | |
| </div> | |
| <div className="flex items-center"> | |
| <div className="w-2 h-2 bg-purple-500 rounded-full mr-2"></div> | |
| <span>Connecting findings from previous iterations...</span> | |
| </div> | |
| </> | |
| )} | |
| {researchIteration === 3 && ( | |
| <> | |
| <div className="flex items-center"> | |
| <div className="w-2 h-2 bg-indigo-500 rounded-full mr-2"></div> | |
| <span>Exploring deeper connections...</span> | |
| </div> | |
| <div className="flex items-center"> | |
| <div className="w-2 h-2 bg-blue-500 rounded-full mr-2"></div> | |
| <span>Analyzing complex patterns...</span> | |
| </div> | |
| </> | |
| )} | |
| {researchIteration === 4 && ( | |
| <> | |
| <div className="flex items-center"> | |
| <div className="w-2 h-2 bg-teal-500 rounded-full mr-2"></div> | |
| <span>Refining research conclusions...</span> | |
| </div> | |
| <div className="flex items-center"> | |
| <div className="w-2 h-2 bg-cyan-500 rounded-full mr-2"></div> | |
| <span>Addressing remaining edge cases...</span> | |
| </div> | |
| </> | |
| )} | |
| {researchIteration >= 5 && ( | |
| <> | |
| <div className="flex items-center"> | |
| <div className="w-2 h-2 bg-purple-500 rounded-full mr-2"></div> | |
| <span>Finalizing comprehensive answer...</span> | |
| </div> | |
| <div className="flex items-center"> | |
| <div className="w-2 h-2 bg-green-500 rounded-full mr-2"></div> | |
| <span>Synthesizing all research findings...</span> | |
| </div> | |
| </> | |
| )} | |
| </div> | |
| </div> | |
| )} | |
| </div> | |
| )} | |
| </div> | |
| {/* Model Selection Modal */} | |
| <ModelSelectionModal | |
| isOpen={isModelSelectionModalOpen} | |
| onClose={() => setIsModelSelectionModalOpen(false)} | |
| provider={selectedProvider} | |
| setProvider={setSelectedProvider} | |
| model={selectedModel} | |
| setModel={setSelectedModel} | |
| isCustomModel={isCustomSelectedModel} | |
| setIsCustomModel={setIsCustomSelectedModel} | |
| customModel={customSelectedModel} | |
| setCustomModel={setCustomSelectedModel} | |
| isComprehensiveView={isComprehensiveView} | |
| setIsComprehensiveView={setIsComprehensiveView} | |
| showFileFilters={false} | |
| onApply={() => { | |
| console.log('Model selection applied:', selectedProvider, selectedModel); | |
| }} | |
| showWikiType={false} | |
| authRequired={false} | |
| isAuthLoading={false} | |
| /> | |
| </div> | |
| ); | |
| }; | |
| export default Ask; | |