diff --git a/.github/copilot-instructions.md b/.github/copilot-instructions.md new file mode 100644 index 0000000..01a4628 --- /dev/null +++ b/.github/copilot-instructions.md @@ -0,0 +1,94 @@ +# GitHub Copilot Instructions for Perplexica + +This file provides context and guidance for GitHub Copilot when working with the Perplexica codebase. + +## Project Overview + +Perplexica is an open-source AI-powered search engine that uses advanced machine learning to provide intelligent search results. It combines web search capabilities with LLM-based processing to understand and answer user questions, similar to Perplexity AI but fully open source. + +## Key Components + +- **Frontend**: Next.js application with React components (in `/src/components` and `/src/app`) +- **Backend Logic**: Node.js backend with API routes (in `/src/app/api`) and library code (in `/src/lib`) +- **Search Engine**: Uses SearXNG as a metadata search engine +- **LLM Integration**: Supports multiple models including OpenAI, Anthropic, Groq, Ollama (local models) +- **Database**: SQLite database managed with Drizzle ORM + +## Architecture + +The system works through these main steps: + +- User submits a query +- The system determines if web search is needed +- If needed, it searches the web using SearXNG +- Results are ranked using embedding-based similarity search +- LLMs are used to generate a comprehensive response with cited sources + +## Key Technologies + +- **Frontend**: React, Next.js, Tailwind CSS +- **Backend**: Node.js +- **Database**: SQLite with Drizzle ORM +- **AI/ML**: LangChain for orchestration, various LLM providers +- **Search**: SearXNG integration +- **Embedding Models**: For re-ranking search results + +## Project Structure + +- `/src/app`: Next.js app directory with page components and API routes +- `/src/components`: Reusable UI components +- `/src/lib`: Backend functionality + - `/lib/search`: Search functionality and meta search agent + - `/lib/db`: Database schema and operations + - `/lib/providers`: LLM and embedding model integrations + - `/lib/prompts`: Prompt templates for LLMs + - `/lib/chains`: LangChain chains for various operations + +## Focus Modes + +Perplexica supports multiple specialized search modes: + +- All Mode: General web search +- Local Research Mode: Research and interact with local files with citations +- Chat Mode: Have a creative conversation +- Academic Search Mode: For academic research +- YouTube Search Mode: For video content +- Wolfram Alpha Search Mode: For calculations and data analysis +- Reddit Search Mode: For community discussions + +## Development Workflow + +- Use `npm run dev` for local development +- Format code with `npm run format:write` before committing +- Database migrations: `npm run db:push` +- Build for production: `npm run build` +- Start production server: `npm run start` + +## Configuration + +The application uses a `config.toml` file (created from `sample.config.toml`) for configuration, including: + +- API keys for various LLM providers +- Database settings +- Search engine configuration +- Similarity measure settings + +## Common Tasks + +When working on this codebase, you might need to: + +- Add new API endpoints in `/src/app/api` +- Modify UI components in `/src/components` +- Extend search functionality in `/src/lib/search` +- Add new LLM providers in `/src/lib/providers` +- Update database schema in `/src/lib/db/schema.ts` +- Create new prompt templates in `/src/lib/prompts` +- Build new chains in `/src/lib/chains` + +## AI Behavior + +- Avoid conciliatory language +- It is not necessary to apologize +- If you don't know the answer, ask for clarification +- Do not add additional packages or dependencies unless explicitly requested +- Only make changes to the code that are relevant to the task at hand diff --git a/README.md b/README.md index 18c9f84..a9f8f38 100644 --- a/README.md +++ b/README.md @@ -57,9 +57,10 @@ Want to know more about its architecture and how it works? You can read it [here - **Two Main Modes:** - **Copilot Mode:** (In development) Boosts search by generating different queries to find more relevant internet sources. Like normal search instead of just using the context by SearxNG, it visits the top matches and tries to find relevant sources to the user's query directly from the page. - **Normal Mode:** Processes your query and performs a web search. -- **Focus Modes:** Special modes to better answer specific types of questions. Perplexica currently has 6 focus modes: +- **Focus Modes:** Special modes to better answer specific types of questions. Perplexica currently has 7 focus modes: - **All Mode:** Searches the entire web to find the best results. - - **Writing Assistant Mode:** Helpful for writing tasks that do not require searching the web. + - **Local Research Mode:** Research and interact with local files with citations. + - **Chat Mode:** Have a truly creative conversation without web search. - **Academic Search Mode:** Finds articles and papers, ideal for academic research. - **YouTube Search Mode:** Finds YouTube videos based on the search query. - **Wolfram Alpha Search Mode:** Answers queries that need calculations or data analysis using Wolfram Alpha. @@ -155,6 +156,40 @@ For more details, check out the full documentation [here](https://github.com/Itz Perplexica runs on Next.js and handles all API requests. It works right away on the same network and stays accessible even with port forwarding. +### Running Behind a Reverse Proxy + +When running Perplexica behind a reverse proxy (like Nginx, Apache, or Traefik), follow these steps to ensure proper functionality: + +1. **Configure the BASE_URL setting**: + + - In `config.toml`, set the `BASE_URL` parameter under the `[GENERAL]` section to your public-facing URL (e.g., `https://perplexica.yourdomain.com`) + +2. **Ensure proper headers forwarding**: + + - Your reverse proxy should forward the following headers: + - `X-Forwarded-Host` + - `X-Forwarded-Proto` + - `X-Forwarded-Port` (if using non-standard ports) + +3. **Example Nginx configuration**: + + ```nginx + server { + listen 80; + server_name perplexica.yourdomain.com; + + location / { + proxy_pass http://localhost:3000; + proxy_set_header Host $host; + proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; + proxy_set_header X-Forwarded-Proto $scheme; + proxy_set_header X-Forwarded-Host $host; + } + } + ``` + +This ensures that OpenSearch descriptions, browser integrations, and all URLs work properly when accessing Perplexica through your reverse proxy. + ## One-Click Deployment [![Deploy to Sealos](https://raw.githubusercontent.com/labring-actions/templates/main/Deploy-on-Sealos.svg)](https://usw.sealos.io/?openapp=system-template%3FtemplateName%3Dperplexica) diff --git a/docs/API/SEARCH.md b/docs/API/SEARCH.md index b67b62b..e7e55b2 100644 --- a/docs/API/SEARCH.md +++ b/docs/API/SEARCH.md @@ -55,7 +55,7 @@ The API accepts a JSON object in the request body, where you define the focus mo - **`focusMode`** (string, required): Specifies which focus mode to use. Available modes: - - `webSearch`, `academicSearch`, `writingAssistant`, `wolframAlphaSearch`, `youtubeSearch`, `redditSearch`. + - `webSearch`, `academicSearch`, `localResearch`, `chat`, `wolframAlphaSearch`, `youtubeSearch`, `redditSearch`. - **`optimizationMode`** (string, optional): Specifies the optimization mode to control the balance between performance and quality. 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b/package.json @@ -4,7 +4,7 @@ "license": "MIT", "author": "ItzCrazyKns", "scripts": { - "dev": "next dev", + "dev": "next dev --turbopack", "build": "npm run db:push && next build", "start": "next start", "lint": "next lint", @@ -19,9 +19,11 @@ "@langchain/community": "^0.3.36", "@langchain/core": "^0.3.42", "@langchain/google-genai": "^0.1.12", + "@langchain/ollama": "^0.2.0", "@langchain/openai": "^0.0.25", "@langchain/textsplitters": "^0.1.0", "@tailwindcss/typography": "^0.5.12", + "@types/react-syntax-highlighter": "^15.5.13", "@xenova/transformers": "^2.17.2", "axios": "^1.8.3", "better-sqlite3": "^11.9.1", @@ -38,6 +40,7 @@ "pdf-parse": "^1.1.1", "react": "^18", "react-dom": "^18", + "react-syntax-highlighter": "^15.6.1", "react-text-to-speech": "^0.14.5", "react-textarea-autosize": "^8.5.3", "sonner": "^1.4.41", diff --git a/sample.config.toml b/sample.config.toml index 1db2125..03fa407 100644 --- a/sample.config.toml +++ b/sample.config.toml @@ -1,6 +1,7 @@ [GENERAL] SIMILARITY_MEASURE = "cosine" # "cosine" or "dot" KEEP_ALIVE = "5m" # How long to keep Ollama models loaded into memory. (Instead of using -1 use "-1m") +BASE_URL = "" # Optional. When set, overrides detected URL for OpenSearch and other public URLs [MODELS.OPENAI] API_KEY = "" diff --git a/src/app/api/autocomplete/route.ts b/src/app/api/autocomplete/route.ts new file mode 100644 index 0000000..19e0690 --- /dev/null +++ b/src/app/api/autocomplete/route.ts @@ -0,0 +1,78 @@ +import { NextResponse } from 'next/server'; +import { getSearxngApiEndpoint } from '@/lib/config'; + +/** + * Proxies autocomplete requests to SearXNG + */ +export async function GET(request: Request) { + try { + // Get the query parameter from the request URL + const { searchParams } = new URL(request.url); + const query = searchParams.get('q'); + + // Check if query exists + if (!query) { + return new NextResponse(JSON.stringify([query || '', []]), { + headers: { + 'Content-Type': 'application/x-suggestions+json', + }, + }); + } + + // Get the SearXNG API endpoint + const searxngUrl = getSearxngApiEndpoint(); + + if (!searxngUrl) { + console.error('SearXNG API endpoint not configured'); + return new NextResponse(JSON.stringify([query, []]), { + headers: { + 'Content-Type': 'application/x-suggestions+json', + }, + }); + } + + // Format the URL (remove trailing slashes) + const formattedSearxngUrl = searxngUrl.replace(/\/+$/, ''); + const autocompleteUrl = `${formattedSearxngUrl}/autocompleter?q=${encodeURIComponent(query)}`; + + // Make the request to SearXNG + const response = await fetch(autocompleteUrl, { + method: 'POST', // The example XML used POST method + headers: { + 'Content-Type': 'application/x-www-form-urlencoded', + }, + signal: AbortSignal.timeout(3000), // 3 second timeout + }); + + if (!response.ok) { + console.error( + `SearXNG autocompleter returned status: ${response.status}`, + ); + return new NextResponse(JSON.stringify([query, []]), { + headers: { + 'Content-Type': 'application/x-suggestions+json', + }, + }); + } + + // Get the JSON response from SearXNG + const suggestions = await response.json(); + + // Return the suggestions in the expected format + return new NextResponse(JSON.stringify(suggestions), { + headers: { + 'Content-Type': 'application/x-suggestions+json', + }, + }); + } catch (error) { + console.error('Error proxying to SearXNG autocompleter:', error); + + // Return an empty suggestion list on error + const query = new URL(request.url).searchParams.get('q') || ''; + return new NextResponse(JSON.stringify([query, []]), { + headers: { + 'Content-Type': 'application/x-suggestions+json', + }, + }); + } +} diff --git a/src/app/api/chat/cancel/route.ts b/src/app/api/chat/cancel/route.ts new file mode 100644 index 0000000..c7614a9 --- /dev/null +++ b/src/app/api/chat/cancel/route.ts @@ -0,0 +1,50 @@ +import { NextRequest } from 'next/server'; + +// In-memory map to store cancel tokens by messageId +const cancelTokens: Record = {}; + +// Export for use in chat/route.ts +export function registerCancelToken( + messageId: string, + controller: AbortController, +) { + cancelTokens[messageId] = controller; +} + +export function cleanupCancelToken(messageId: string) { + var cancelled = false; + if (messageId in cancelTokens) { + delete cancelTokens[messageId]; + cancelled = true; + } + return cancelled; +} + +export function cancelRequest(messageId: string) { + const controller = cancelTokens[messageId]; + if (controller) { + try { + controller.abort(); + } catch (e) { + console.error(`Error aborting request for messageId ${messageId}:`, e); + } + return true; + } + return false; +} + +export async function POST(req: NextRequest) { + const { messageId } = await req.json(); + if (!messageId) { + return Response.json({ error: 'Missing messageId' }, { status: 400 }); + } + const cancelled = cancelRequest(messageId); + if (cancelled) { + return Response.json({ success: true }); + } else { + return Response.json( + { error: 'No in-progress request for this messageId' }, + { status: 404 }, + ); + } +} diff --git a/src/app/api/chat/route.ts b/src/app/api/chat/route.ts index e566edb..c242002 100644 --- a/src/app/api/chat/route.ts +++ b/src/app/api/chat/route.ts @@ -1,26 +1,27 @@ -import prompts from '@/lib/prompts'; -import MetaSearchAgent from '@/lib/search/metaSearchAgent'; -import crypto from 'crypto'; -import { AIMessage, BaseMessage, HumanMessage } from '@langchain/core/messages'; -import { EventEmitter } from 'stream'; -import { - chatModelProviders, - embeddingModelProviders, - getAvailableChatModelProviders, - getAvailableEmbeddingModelProviders, -} from '@/lib/providers'; -import db from '@/lib/db'; -import { chats, messages as messagesSchema } from '@/lib/db/schema'; -import { and, eq, gt } from 'drizzle-orm'; -import { getFileDetails } from '@/lib/utils/files'; -import { BaseChatModel } from '@langchain/core/language_models/chat_models'; -import { ChatOpenAI } from '@langchain/openai'; import { getCustomOpenaiApiKey, getCustomOpenaiApiUrl, getCustomOpenaiModelName, } from '@/lib/config'; +import db from '@/lib/db'; +import { chats, messages as messagesSchema } from '@/lib/db/schema'; +import { + getAvailableChatModelProviders, + getAvailableEmbeddingModelProviders, +} from '@/lib/providers'; import { searchHandlers } from '@/lib/search'; +import { getFileDetails } from '@/lib/utils/files'; +import { BaseChatModel } from '@langchain/core/language_models/chat_models'; +import { AIMessage, BaseMessage, HumanMessage } from '@langchain/core/messages'; +import { ChatOllama } from '@langchain/ollama'; +import { ChatOpenAI } from '@langchain/openai'; +import crypto from 'crypto'; +import { and, eq, gt } from 'drizzle-orm'; +import { EventEmitter } from 'stream'; +import { + registerCancelToken, + cleanupCancelToken, +} from './cancel/route'; export const runtime = 'nodejs'; export const dynamic = 'force-dynamic'; @@ -34,6 +35,7 @@ type Message = { type ChatModel = { provider: string; name: string; + ollamaContextWindow?: number; }; type EmbeddingModel = { @@ -52,15 +54,24 @@ type Body = { systemInstructions: string; }; +type ModelStats = { + modelName: string; + responseTime?: number; +}; + const handleEmitterEvents = async ( stream: EventEmitter, writer: WritableStreamDefaultWriter, encoder: TextEncoder, aiMessageId: string, chatId: string, + startTime: number, + userMessageId: string, ) => { let recievedMessage = ''; let sources: any[] = []; + let searchQuery: string | undefined; + let searchUrl: string | undefined; stream.on('data', (data) => { const parsedData = JSON.parse(data); @@ -77,12 +88,22 @@ const handleEmitterEvents = async ( recievedMessage += parsedData.data; } else if (parsedData.type === 'sources') { + // Capture the search query if available + if (parsedData.searchQuery) { + searchQuery = parsedData.searchQuery; + } + if (parsedData.searchUrl) { + searchUrl = parsedData.searchUrl; + } + writer.write( encoder.encode( JSON.stringify({ type: 'sources', data: parsedData.data, + searchQuery: parsedData.searchQuery, messageId: aiMessageId, + searchUrl: searchUrl, }) + '\n', ), ); @@ -90,17 +111,42 @@ const handleEmitterEvents = async ( sources = parsedData.data; } }); + let modelStats: ModelStats = { + modelName: '', + }; + + stream.on('stats', (data) => { + const parsedData = JSON.parse(data); + if (parsedData.type === 'modelStats') { + modelStats = parsedData.data; + } + }); + stream.on('end', () => { + const endTime = Date.now(); + const duration = endTime - startTime; + + modelStats = { + ...modelStats, + responseTime: duration, + }; + writer.write( encoder.encode( JSON.stringify({ type: 'messageEnd', messageId: aiMessageId, + modelStats: modelStats, + searchQuery: searchQuery, + searchUrl: searchUrl, }) + '\n', ), ); writer.close(); + // Clean up the abort controller reference + cleanupCancelToken(userMessageId); + db.insert(messagesSchema) .values({ content: recievedMessage, @@ -110,6 +156,9 @@ const handleEmitterEvents = async ( metadata: JSON.stringify({ createdAt: new Date(), ...(sources && sources.length > 0 && { sources }), + ...(searchQuery && { searchQuery }), + modelStats: modelStats, + ...(searchUrl && { searchUrl }), }), }) .execute(); @@ -169,6 +218,16 @@ const handleHistorySave = async ( }) .execute(); } else { + await db + .update(messagesSchema) + .set({ + content: message.content, + metadata: JSON.stringify({ + createdAt: new Date(), + }), + }) + .where(eq(messagesSchema.messageId, humanMessageId)) + .execute(); await db .delete(messagesSchema) .where( @@ -183,6 +242,7 @@ const handleHistorySave = async ( export const POST = async (req: Request) => { try { + const startTime = Date.now(); const body = (await req.json()) as Body; const { message } = body; @@ -232,6 +292,11 @@ export const POST = async (req: Request) => { }) as unknown as BaseChatModel; } else if (chatModelProvider && chatModel) { llm = chatModel.model; + + // Set context window size for Ollama models + if (llm instanceof ChatOllama && body.chatModel?.provider === 'ollama') { + llm.numCtx = body.chatModel.ollamaContextWindow || 2048; + } } if (!llm) { @@ -272,6 +337,28 @@ export const POST = async (req: Request) => { ); } + const responseStream = new TransformStream(); + const writer = responseStream.writable.getWriter(); + const encoder = new TextEncoder(); + + // --- Cancellation logic --- + const abortController = new AbortController(); + registerCancelToken(message.messageId, abortController); + + abortController.signal.addEventListener('abort', () => { + console.log('Stream aborted, sending cancel event'); + writer.write( + encoder.encode( + JSON.stringify({ + type: 'error', + data: 'Request cancelled by user', + }), + ), + ); + cleanupCancelToken(message.messageId); + }); + + // Pass the abort signal to the search handler const stream = await handler.searchAndAnswer( message.content, history, @@ -280,13 +367,19 @@ export const POST = async (req: Request) => { body.optimizationMode, body.files, body.systemInstructions, + abortController.signal, ); - const responseStream = new TransformStream(); - const writer = responseStream.writable.getWriter(); - const encoder = new TextEncoder(); + handleEmitterEvents( + stream, + writer, + encoder, + aiMessageId, + message.chatId, + startTime, + message.messageId, + ); - handleEmitterEvents(stream, writer, encoder, aiMessageId, message.chatId); handleHistorySave(message, humanMessageId, body.focusMode, body.files); return new Response(responseStream.readable, { diff --git a/src/app/api/config/route.ts b/src/app/api/config/route.ts index c1e5bbd..e4384a8 100644 --- a/src/app/api/config/route.ts +++ b/src/app/api/config/route.ts @@ -1,5 +1,6 @@ import { getAnthropicApiKey, + getBaseUrl, getCustomOpenaiApiKey, getCustomOpenaiApiUrl, getCustomOpenaiModelName, @@ -60,6 +61,7 @@ export const GET = async (req: Request) => { config['customOpenaiApiUrl'] = getCustomOpenaiApiUrl(); config['customOpenaiApiKey'] = getCustomOpenaiApiKey(); config['customOpenaiModelName'] = getCustomOpenaiModelName(); + config['baseUrl'] = getBaseUrl(); return Response.json({ ...config }, { status: 200 }); } catch (err) { diff --git a/src/app/api/images/route.ts b/src/app/api/images/route.ts index db39d9f..83af845 100644 --- a/src/app/api/images/route.ts +++ b/src/app/api/images/route.ts @@ -7,11 +7,13 @@ import { import { getAvailableChatModelProviders } from '@/lib/providers'; import { BaseChatModel } from '@langchain/core/language_models/chat_models'; import { AIMessage, BaseMessage, HumanMessage } from '@langchain/core/messages'; +import { ChatOllama } from '@langchain/ollama'; import { ChatOpenAI } from '@langchain/openai'; interface ChatModel { provider: string; model: string; + ollamaContextWindow?: number; } interface ImageSearchBody { @@ -58,6 +60,10 @@ export const POST = async (req: Request) => { }) as unknown as BaseChatModel; } else if (chatModelProvider && chatModel) { llm = chatModel.model; + // Set context window size for Ollama models + if (llm instanceof ChatOllama && body.chatModel?.provider === 'ollama') { + llm.numCtx = body.chatModel.ollamaContextWindow || 2048; + } } if (!llm) { diff --git a/src/app/api/opensearch/route.ts b/src/app/api/opensearch/route.ts new file mode 100644 index 0000000..49abec1 --- /dev/null +++ b/src/app/api/opensearch/route.ts @@ -0,0 +1,70 @@ +import { NextResponse } from 'next/server'; +import { getBaseUrl } from '@/lib/config'; + +/** + * Creates an OpenSearch XML response with the given origin URL + */ +function generateOpenSearchResponse(origin: string): NextResponse { + const opensearchXml = ` + + Perplexica + Search with Perplexica AI + Perplexica is a powerful AI-driven search engine that understands your queries and delivers relevant results. + UTF-8 + ${origin}/favicon.ico + + + +`; + + return new NextResponse(opensearchXml, { + headers: { + 'Content-Type': 'application/opensearchdescription+xml', + }, + }); +} + +export async function GET(request: Request) { + // Check if a BASE_URL is explicitly configured + const configBaseUrl = getBaseUrl(); + + // If BASE_URL is configured, use it, otherwise detect from request + if (configBaseUrl) { + // Remove any trailing slashes for consistency + let origin = configBaseUrl.replace(/\/+$/, ''); + return generateOpenSearchResponse(origin); + } + + // Detect the correct origin, taking into account reverse proxy headers + const url = new URL(request.url); + let origin = url.origin; + + // Extract headers + const headers = Object.fromEntries(request.headers); + + // Check for X-Forwarded-Host and related headers to handle reverse proxies + if (headers['x-forwarded-host']) { + // Determine protocol: prefer X-Forwarded-Proto, fall back to original or https + const protocol = + headers['x-forwarded-proto'] || url.protocol.replace(':', ''); + // Build the correct public-facing origin + origin = `${protocol}://${headers['x-forwarded-host']}`; + + // Handle non-standard ports if specified in X-Forwarded-Port + if (headers['x-forwarded-port']) { + const port = headers['x-forwarded-port']; + // Don't append standard ports (80 for HTTP, 443 for HTTPS) + if ( + !( + (protocol === 'http' && port === '80') || + (protocol === 'https' && port === '443') + ) + ) { + origin = `${origin}:${port}`; + } + } + } + + // Generate and return the OpenSearch response + return generateOpenSearchResponse(origin); +} diff --git a/src/app/api/search/route.ts b/src/app/api/search/route.ts index 970ec42..96e9814 100644 --- a/src/app/api/search/route.ts +++ b/src/app/api/search/route.ts @@ -13,12 +13,14 @@ import { getCustomOpenaiModelName, } from '@/lib/config'; import { searchHandlers } from '@/lib/search'; +import { ChatOllama } from '@langchain/ollama'; interface chatModel { provider: string; name: string; customOpenAIKey?: string; customOpenAIBaseURL?: string; + ollamaContextWindow?: number; } interface embeddingModel { @@ -97,6 +99,10 @@ export const POST = async (req: Request) => { .model as unknown as BaseChatModel | undefined; } + if (llm instanceof ChatOllama && body.chatModel?.provider === 'ollama') { + llm.numCtx = body.chatModel.ollamaContextWindow || 2048; + } + if ( embeddingModelProviders[embeddingModelProvider] && embeddingModelProviders[embeddingModelProvider][embeddingModel] @@ -118,6 +124,8 @@ export const POST = async (req: Request) => { if (!searchHandler) { return Response.json({ message: 'Invalid focus mode' }, { status: 400 }); } + const abortController = new AbortController(); + const { signal } = abortController; const emitter = await searchHandler.searchAndAnswer( body.query, @@ -127,6 +135,7 @@ export const POST = async (req: Request) => { body.optimizationMode, [], body.systemInstructions || '', + signal, ); if (!body.stream) { @@ -174,9 +183,6 @@ export const POST = async (req: Request) => { const encoder = new TextEncoder(); - const abortController = new AbortController(); - const { signal } = abortController; - const stream = new ReadableStream({ start(controller) { let sources: any[] = []; diff --git a/src/app/api/suggestions/route.ts b/src/app/api/suggestions/route.ts index e92e5ec..63caff4 100644 --- a/src/app/api/suggestions/route.ts +++ b/src/app/api/suggestions/route.ts @@ -8,10 +8,12 @@ import { getAvailableChatModelProviders } from '@/lib/providers'; import { BaseChatModel } from '@langchain/core/language_models/chat_models'; import { AIMessage, BaseMessage, HumanMessage } from '@langchain/core/messages'; import { ChatOpenAI } from '@langchain/openai'; +import { ChatOllama } from '@langchain/ollama'; interface ChatModel { provider: string; model: string; + ollamaContextWindow?: number; } interface SuggestionsGenerationBody { @@ -57,6 +59,10 @@ export const POST = async (req: Request) => { }) as unknown as BaseChatModel; } else if (chatModelProvider && chatModel) { llm = chatModel.model; + // Set context window size for Ollama models + if (llm instanceof ChatOllama && body.chatModel?.provider === 'ollama') { + llm.numCtx = body.chatModel.ollamaContextWindow || 2048; + } } if (!llm) { diff --git a/src/app/api/videos/route.ts b/src/app/api/videos/route.ts index 34ae7fd..64c6b7c 100644 --- a/src/app/api/videos/route.ts +++ b/src/app/api/videos/route.ts @@ -7,11 +7,13 @@ import { import { getAvailableChatModelProviders } from '@/lib/providers'; import { BaseChatModel } from '@langchain/core/language_models/chat_models'; import { AIMessage, BaseMessage, HumanMessage } from '@langchain/core/messages'; +import { ChatOllama } from '@langchain/ollama'; import { ChatOpenAI } from '@langchain/openai'; interface ChatModel { provider: string; model: string; + ollamaContextWindow?: number; } interface VideoSearchBody { @@ -58,6 +60,10 @@ export const POST = async (req: Request) => { }) as unknown as BaseChatModel; } else if (chatModelProvider && chatModel) { llm = chatModel.model; + // Set context window size for Ollama models + if (llm instanceof ChatOllama && body.chatModel?.provider === 'ollama') { + llm.numCtx = body.chatModel.ollamaContextWindow || 2048; + } } if (!llm) { diff --git a/src/app/layout.tsx b/src/app/layout.tsx index 684a99c..06ee1f2 100644 --- a/src/app/layout.tsx +++ b/src/app/layout.tsx @@ -26,6 +26,14 @@ export default function RootLayout({ }>) { return ( + + + {children} diff --git a/src/app/settings/page.tsx b/src/app/settings/page.tsx index 05338c3..ee78052 100644 --- a/src/app/settings/page.tsx +++ b/src/app/settings/page.tsx @@ -5,7 +5,7 @@ import { useEffect, useState } from 'react'; import { cn } from '@/lib/utils'; import { Switch } from '@headlessui/react'; import ThemeSwitcher from '@/components/theme/Switcher'; -import { ImagesIcon, VideoIcon } from 'lucide-react'; +import { ImagesIcon, VideoIcon, Layers3 } from 'lucide-react'; import Link from 'next/link'; import { PROVIDER_METADATA } from '@/lib/providers'; @@ -26,6 +26,7 @@ interface SettingsType { customOpenaiApiKey: string; customOpenaiApiUrl: string; customOpenaiModelName: string; + ollamaContextWindow: number; } interface InputProps extends React.InputHTMLAttributes { @@ -144,10 +145,14 @@ const Page = () => { string | null >(null); const [isLoading, setIsLoading] = useState(false); - const [automaticImageSearch, setAutomaticImageSearch] = useState(false); - const [automaticVideoSearch, setAutomaticVideoSearch] = useState(false); + const [automaticSuggestions, setAutomaticSuggestions] = useState(true); const [systemInstructions, setSystemInstructions] = useState(''); const [savingStates, setSavingStates] = useState>({}); + const [contextWindowSize, setContextWindowSize] = useState(2048); + const [isCustomContextWindow, setIsCustomContextWindow] = useState(false); + const predefinedContextSizes = [ + 1024, 2048, 3072, 4096, 8192, 16384, 32768, 65536, 131072, + ]; useEffect(() => { const fetchConfig = async () => { @@ -159,6 +164,7 @@ const Page = () => { }); const data = (await res.json()) as SettingsType; + setConfig(data); const chatModelProvidersKeys = Object.keys(data.chatModelProviders || {}); @@ -201,11 +207,15 @@ const Page = () => { setChatModels(data.chatModelProviders || {}); setEmbeddingModels(data.embeddingModelProviders || {}); - setAutomaticImageSearch( - localStorage.getItem('autoImageSearch') === 'true', + setAutomaticSuggestions( + localStorage.getItem('autoSuggestions') !== 'false', // default to true if not set ); - setAutomaticVideoSearch( - localStorage.getItem('autoVideoSearch') === 'true', + const storedContextWindow = parseInt( + localStorage.getItem('ollamaContextWindow') ?? '2048', + ); + setContextWindowSize(storedContextWindow); + setIsCustomContextWindow( + !predefinedContextSizes.includes(storedContextWindow), ); setSystemInstructions(localStorage.getItem('systemInstructions')!); @@ -354,10 +364,8 @@ const Page = () => { setConfig(data); } - if (key === 'automaticImageSearch') { - localStorage.setItem('autoImageSearch', value.toString()); - } else if (key === 'automaticVideoSearch') { - localStorage.setItem('autoVideoSearch', value.toString()); + if (key === 'automaticSuggestions') { + localStorage.setItem('autoSuggestions', value.toString()); } else if (key === 'chatModelProvider') { localStorage.setItem('chatModelProvider', value); } else if (key === 'chatModel') { @@ -366,6 +374,8 @@ const Page = () => { localStorage.setItem('embeddingModelProvider', value); } else if (key === 'embeddingModel') { localStorage.setItem('embeddingModel', value); + } else if (key === 'ollamaContextWindow') { + localStorage.setItem('ollamaContextWindow', value.toString()); } else if (key === 'systemInstructions') { localStorage.setItem('systemInstructions', value); } @@ -430,29 +440,28 @@ const Page = () => {
-

- Automatic Image Search + Automatic Suggestions

- Automatically search for relevant images in chat - responses + Automatically show related suggestions after responses

{ - setAutomaticImageSearch(checked); - saveConfig('automaticImageSearch', checked); + setAutomaticSuggestions(checked); + saveConfig('automaticSuggestions', checked); }} className={cn( - automaticImageSearch + automaticSuggestions ? 'bg-[#24A0ED]' : 'bg-light-200 dark:bg-dark-200', 'relative inline-flex h-6 w-11 items-center rounded-full transition-colors focus:outline-none', @@ -460,49 +469,7 @@ const Page = () => { > - -
- -
-
-
- -
-
-

- Automatic Video Search -

-

- Automatically search for relevant videos in chat - responses -

-
-
- { - setAutomaticVideoSearch(checked); - saveConfig('automaticVideoSearch', checked); - }} - className={cn( - automaticVideoSearch - ? 'bg-[#24A0ED]' - : 'bg-light-200 dark:bg-dark-200', - 'relative inline-flex h-6 w-11 items-center rounded-full transition-colors focus:outline-none', - )} - > - { ]; })()} /> + {selectedChatModelProvider === 'ollama' && ( +
+

+ Chat Context Window Size +

+ { + // Allow any value to be typed + const value = + parseInt(e.target.value) || + contextWindowSize; + setContextWindowSize(value); + }} + onSave={(value) => { + // Validate only when saving + const numValue = Math.max( + 512, + parseInt(value) || 2048, + ); + setContextWindowSize(numValue); + setConfig((prev) => ({ + ...prev!, + ollamaContextWindow: numValue, + })); + saveConfig('ollamaContextWindow', numValue); + }} + /> +
+ )} +

+ {isCustomContextWindow + ? 'Adjust the context window size for Ollama models (minimum 512 tokens)' + : 'Adjust the context window size for Ollama models'} +

+
+ )} )} diff --git a/src/components/Chat.tsx b/src/components/Chat.tsx index 0cf125b..fd6ac18 100644 --- a/src/components/Chat.tsx +++ b/src/components/Chat.tsx @@ -1,52 +1,121 @@ 'use client'; import { Fragment, useEffect, useRef, useState } from 'react'; -import MessageInput from './MessageInput'; import { File, Message } from './ChatWindow'; import MessageBox from './MessageBox'; import MessageBoxLoading from './MessageBoxLoading'; +import MessageInput from './MessageInput'; const Chat = ({ loading, messages, sendMessage, - messageAppeared, + scrollTrigger, rewrite, fileIds, setFileIds, files, setFiles, + optimizationMode, + setOptimizationMode, + focusMode, + setFocusMode, + handleEditMessage, }: { messages: Message[]; - sendMessage: (message: string) => void; + sendMessage: ( + message: string, + options?: { + messageId?: string; + rewriteIndex?: number; + suggestions?: string[]; + }, + ) => void; loading: boolean; - messageAppeared: boolean; + scrollTrigger: number; rewrite: (messageId: string) => void; fileIds: string[]; setFileIds: (fileIds: string[]) => void; files: File[]; setFiles: (files: File[]) => void; + optimizationMode: string; + setOptimizationMode: (mode: string) => void; + focusMode: string; + setFocusMode: (mode: string) => void; + handleEditMessage: (messageId: string, content: string) => void; }) => { - const [dividerWidth, setDividerWidth] = useState(0); - const dividerRef = useRef(null); + const [isAtBottom, setIsAtBottom] = useState(true); + const [manuallyScrolledUp, setManuallyScrolledUp] = useState(false); + const [inputStyle, setInputStyle] = useState({}); const messageEnd = useRef(null); + const containerRef = useRef(null); + const SCROLL_THRESHOLD = 250; // pixels from bottom to consider "at bottom" + const [currentMessageId, setCurrentMessageId] = useState( + undefined, + ); + // Check if user is at bottom of page useEffect(() => { - const updateDividerWidth = () => { - if (dividerRef.current) { - setDividerWidth(dividerRef.current.scrollWidth); + const checkIsAtBottom = () => { + const position = window.innerHeight + window.scrollY; + const height = document.body.scrollHeight; + const atBottom = position >= height - SCROLL_THRESHOLD; + + setIsAtBottom(atBottom); + }; + + // Initial check + checkIsAtBottom(); + + // Add scroll event listener + window.addEventListener('scroll', checkIsAtBottom); + + return () => { + window.removeEventListener('scroll', checkIsAtBottom); + }; + }, []); + + // Detect wheel and touch events to identify user's scrolling direction + useEffect(() => { + const checkIsAtBottom = () => { + const position = window.innerHeight + window.scrollY; + const height = document.body.scrollHeight; + const atBottom = position >= height - SCROLL_THRESHOLD; + + // If user scrolls to bottom, reset the manuallyScrolledUp flag + if (atBottom) { + setManuallyScrolledUp(false); + } + + setIsAtBottom(atBottom); + }; + + const handleWheel = (e: WheelEvent) => { + // Positive deltaY means scrolling down, negative means scrolling up + if (e.deltaY < 0) { + // User is scrolling up + setManuallyScrolledUp(true); + } else if (e.deltaY > 0) { + checkIsAtBottom(); } }; - updateDividerWidth(); + const handleTouchStart = (e: TouchEvent) => { + // Immediately stop auto-scrolling on any touch interaction + setManuallyScrolledUp(true); + }; - window.addEventListener('resize', updateDividerWidth); + // Add event listeners + window.addEventListener('wheel', handleWheel, { passive: true }); + window.addEventListener('touchstart', handleTouchStart, { passive: true }); return () => { - window.removeEventListener('resize', updateDividerWidth); + window.removeEventListener('wheel', handleWheel); + window.removeEventListener('touchstart', handleTouchStart); }; - }); + }, [isAtBottom]); + // Scroll when user sends a message useEffect(() => { const scroll = () => { messageEnd.current?.scrollIntoView({ behavior: 'smooth' }); @@ -56,13 +125,79 @@ const Chat = ({ document.title = `${messages[0].content.substring(0, 30)} - Perplexica`; } - if (messages[messages.length - 1]?.role == 'user') { + // Always scroll when user sends a message + if (messages[messages.length - 1]?.role === 'user') { scroll(); + setIsAtBottom(true); // Reset to true when user sends a message + setManuallyScrolledUp(false); // Reset manually scrolled flag when user sends a message } }, [messages]); + // Auto-scroll for assistant responses only if user is at bottom and hasn't manually scrolled up + useEffect(() => { + const position = window.innerHeight + window.scrollY; + const height = document.body.scrollHeight; + const atBottom = position >= height - SCROLL_THRESHOLD; + setIsAtBottom(atBottom); + + if (isAtBottom && !manuallyScrolledUp && messages.length > 0) { + messageEnd.current?.scrollIntoView({ behavior: 'smooth' }); + } + }, [scrollTrigger, isAtBottom, messages.length, manuallyScrolledUp]); + + // Sync input width with main container width + useEffect(() => { + const updateInputStyle = () => { + if (containerRef.current) { + const rect = containerRef.current.getBoundingClientRect(); + setInputStyle({ + width: rect.width, + left: rect.left, + right: window.innerWidth - rect.right, + }); + } + }; + + // Initial calculation + updateInputStyle(); + + // Update on resize + window.addEventListener('resize', updateInputStyle); + + return () => { + window.removeEventListener('resize', updateInputStyle); + }; + }, []); + + // Track the last user messageId when loading starts + useEffect(() => { + if (loading) { + // Find the last user message + const lastUserMsg = [...messages] + .reverse() + .find((m) => m.role === 'user'); + setCurrentMessageId(lastUserMsg?.messageId); + } else { + setCurrentMessageId(undefined); + } + }, [loading, messages]); + + // Cancel handler + const handleCancel = async () => { + if (!currentMessageId) return; + try { + await fetch('/api/chat/cancel', { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: JSON.stringify({ messageId: currentMessageId }), + }); + } catch (e) { + // Optionally handle error + } + }; + return ( -
+
{messages.map((msg, i) => { const isLast = i === messages.length - 1; @@ -74,10 +209,10 @@ const Chat = ({ messageIndex={i} history={messages} loading={loading} - dividerRef={isLast ? dividerRef : undefined} isLast={isLast} rewrite={rewrite} sendMessage={sendMessage} + handleEditMessage={handleEditMessage} /> {!isLast && msg.role === 'assistant' && (
@@ -85,23 +220,54 @@ const Chat = ({ ); })} - {loading && !messageAppeared && } + {loading && } +
+ {/* Scroll to bottom button - appears above the MessageInput when user has scrolled up */} + {manuallyScrolledUp && !isAtBottom && ( +
+ +
+ )} + + +
- {dividerWidth > 0 && ( -
- -
- )}
); }; diff --git a/src/components/ChatWindow.tsx b/src/components/ChatWindow.tsx index 93c8a0c..2485252 100644 --- a/src/components/ChatWindow.tsx +++ b/src/components/ChatWindow.tsx @@ -13,6 +13,11 @@ import { Settings } from 'lucide-react'; import Link from 'next/link'; import NextError from 'next/error'; +export type ModelStats = { + modelName: string; + responseTime?: number; +}; + export type Message = { messageId: string; chatId: string; @@ -21,6 +26,9 @@ export type Message = { role: 'user' | 'assistant'; suggestions?: string[]; sources?: Document[]; + modelStats?: ModelStats; + searchQuery?: string; + searchUrl?: string; }; export interface File { @@ -51,17 +59,6 @@ const checkConfig = async ( let embeddingModel = localStorage.getItem('embeddingModel'); let embeddingModelProvider = localStorage.getItem('embeddingModelProvider'); - const autoImageSearch = localStorage.getItem('autoImageSearch'); - const autoVideoSearch = localStorage.getItem('autoVideoSearch'); - - if (!autoImageSearch) { - localStorage.setItem('autoImageSearch', 'true'); - } - - if (!autoVideoSearch) { - localStorage.setItem('autoVideoSearch', 'false'); - } - const providers = await fetch(`/api/models`, { headers: { 'Content-Type': 'application/json', @@ -272,7 +269,7 @@ const ChatWindow = ({ id }: { id?: string }) => { }, []); const [loading, setLoading] = useState(false); - const [messageAppeared, setMessageAppeared] = useState(false); + const [scrollTrigger, setScrollTrigger] = useState(0); const [chatHistory, setChatHistory] = useState<[string, string][]>([]); const [messages, setMessages] = useState([]); @@ -287,6 +284,16 @@ const ChatWindow = ({ id }: { id?: string }) => { const [notFound, setNotFound] = useState(false); + useEffect(() => { + const savedOptimizationMode = localStorage.getItem('optimizationMode'); + + if (savedOptimizationMode !== null) { + setOptimizationMode(savedOptimizationMode); + } else { + localStorage.setItem('optimizationMode', optimizationMode); + } + }, []); + useEffect(() => { if ( chatId && @@ -327,7 +334,28 @@ const ChatWindow = ({ id }: { id?: string }) => { } }, [isMessagesLoaded, isConfigReady]); - const sendMessage = async (message: string, messageId?: string) => { + const sendMessage = async ( + message: string, + options?: { + messageId?: string; + suggestions?: string[]; + editMode?: boolean; + }, + ) => { + setScrollTrigger((x) => (x === 0 ? -1 : 0)); + // Special case: If we're just updating an existing message with suggestions + if (options?.suggestions && options.messageId) { + setMessages((prev) => + prev.map((msg) => { + if (msg.messageId === options.messageId) { + return { ...msg, suggestions: options.suggestions }; + } + return msg; + }), + ); + return; + } + if (loading) return; if (!isConfigReady) { toast.error('Cannot send message before the configuration is ready'); @@ -335,13 +363,29 @@ const ChatWindow = ({ id }: { id?: string }) => { } setLoading(true); - setMessageAppeared(false); let sources: Document[] | undefined = undefined; let recievedMessage = ''; let added = false; + let messageChatHistory = chatHistory; - messageId = messageId ?? crypto.randomBytes(7).toString('hex'); + // If the user is editing or rewriting a message, we need to remove the messages after it + const rewriteIndex = messages.findIndex( + (msg) => msg.messageId === options?.messageId, + ); + if (rewriteIndex !== -1) { + setMessages((prev) => { + return [...prev.slice(0, rewriteIndex)]; + }); + + messageChatHistory = chatHistory.slice(0, rewriteIndex); + setChatHistory(messageChatHistory); + + setScrollTrigger((prev) => prev + 1); + } + + const messageId = + options?.messageId ?? crypto.randomBytes(7).toString('hex'); setMessages((prevMessages) => [ ...prevMessages, @@ -372,12 +416,14 @@ const ChatWindow = ({ id }: { id?: string }) => { chatId: chatId!, role: 'assistant', sources: sources, + searchQuery: data.searchQuery, + searchUrl: data.searchUrl, createdAt: new Date(), }, ]); added = true; + setScrollTrigger((prev) => prev + 1); } - setMessageAppeared(true); } if (data.type === 'message') { @@ -391,6 +437,9 @@ const ChatWindow = ({ id }: { id?: string }) => { role: 'assistant', sources: sources, createdAt: new Date(), + modelStats: { + modelName: data.modelName, + }, }, ]); added = true; @@ -407,7 +456,7 @@ const ChatWindow = ({ id }: { id?: string }) => { ); recievedMessage += data.data; - setMessageAppeared(true); + setScrollTrigger((prev) => prev + 1); } if (data.type === 'messageEnd') { @@ -417,30 +466,36 @@ const ChatWindow = ({ id }: { id?: string }) => { ['assistant', recievedMessage], ]); + // Always update the message, adding modelStats if available + setMessages((prev) => + prev.map((message) => { + if (message.messageId === data.messageId) { + return { + ...message, + // Include model stats if available, otherwise null + modelStats: data.modelStats || null, + // Make sure the searchQuery is preserved (if available in the message data) + searchQuery: message.searchQuery || data.searchQuery, + searchUrl: message.searchUrl || data.searchUrl, + }; + } + return message; + }), + ); + setLoading(false); + setScrollTrigger((prev) => prev + 1); const lastMsg = messagesRef.current[messagesRef.current.length - 1]; - const autoImageSearch = localStorage.getItem('autoImageSearch'); - const autoVideoSearch = localStorage.getItem('autoVideoSearch'); - - if (autoImageSearch === 'true') { - document - .getElementById(`search-images-${lastMsg.messageId}`) - ?.click(); - } - - if (autoVideoSearch === 'true') { - document - .getElementById(`search-videos-${lastMsg.messageId}`) - ?.click(); - } + const autoSuggestions = localStorage.getItem('autoSuggestions'); if ( lastMsg.role === 'assistant' && lastMsg.sources && lastMsg.sources.length > 0 && - !lastMsg.suggestions + !lastMsg.suggestions && + autoSuggestions !== 'false' // Default to true if not set ) { const suggestions = await getSuggestions(messagesRef.current); setMessages((prev) => @@ -455,6 +510,18 @@ const ChatWindow = ({ id }: { id?: string }) => { } }; + const ollamaContextWindow = + localStorage.getItem('ollamaContextWindow') || '2048'; + + // Get the latest model selection from localStorage + const currentChatModelProvider = localStorage.getItem('chatModelProvider'); + const currentChatModel = localStorage.getItem('chatModel'); + + // Use the most current model selection from localStorage, falling back to the state if not available + const modelProvider = + currentChatModelProvider || chatModelProvider.provider; + const modelName = currentChatModel || chatModelProvider.name; + const res = await fetch('/api/chat', { method: 'POST', headers: { @@ -471,10 +538,13 @@ const ChatWindow = ({ id }: { id?: string }) => { files: fileIds, focusMode: focusMode, optimizationMode: optimizationMode, - history: chatHistory, + history: messageChatHistory, chatModel: { - name: chatModelProvider.name, - provider: chatModelProvider.provider, + name: modelName, + provider: modelProvider, + ...(chatModelProvider.provider === 'ollama' && { + ollamaContextWindow: parseInt(ollamaContextWindow), + }), }, embeddingModel: { name: embeddingModelProvider.name, @@ -512,20 +582,31 @@ const ChatWindow = ({ id }: { id?: string }) => { }; const rewrite = (messageId: string) => { - const index = messages.findIndex((msg) => msg.messageId === messageId); - - if (index === -1) return; - - const message = messages[index - 1]; - - setMessages((prev) => { - return [...prev.slice(0, messages.length > 2 ? index - 1 : 0)]; - }); - setChatHistory((prev) => { - return [...prev.slice(0, messages.length > 2 ? index - 1 : 0)]; + const messageIndex = messages.findIndex( + (msg) => msg.messageId === messageId, + ); + if (messageIndex == -1) return; + sendMessage(messages[messageIndex - 1].content, { + messageId: messages[messageIndex - 1].messageId, }); + }; - sendMessage(message.content, message.messageId); + const handleEditMessage = async (messageId: string, newContent: string) => { + // Get the index of the message being edited + const messageIndex = messages.findIndex( + (msg) => msg.messageId === messageId, + ); + if (messageIndex === -1) return; + + try { + sendMessage(newContent, { + messageId, + editMode: true, + }); + } catch (error) { + console.error('Error updating message:', error); + toast.error('Failed to update message'); + } }; useEffect(() => { @@ -564,12 +645,17 @@ const ChatWindow = ({ id }: { id?: string }) => { loading={loading} messages={messages} sendMessage={sendMessage} - messageAppeared={messageAppeared} + scrollTrigger={scrollTrigger} rewrite={rewrite} fileIds={fileIds} setFileIds={setFileIds} files={files} setFiles={setFiles} + optimizationMode={optimizationMode} + setOptimizationMode={setOptimizationMode} + focusMode={focusMode} + setFocusMode={setFocusMode} + handleEditMessage={handleEditMessage} /> ) : ( diff --git a/src/components/EmptyChat.tsx b/src/components/EmptyChat.tsx index 838849f..78b3275 100644 --- a/src/components/EmptyChat.tsx +++ b/src/components/EmptyChat.tsx @@ -1,8 +1,8 @@ import { Settings } from 'lucide-react'; -import EmptyChatMessageInput from './EmptyChatMessageInput'; import { useState } from 'react'; import { File } from './ChatWindow'; import Link from 'next/link'; +import MessageInput from './MessageInput'; const EmptyChat = ({ sendMessage, @@ -38,7 +38,9 @@ const EmptyChat = ({

Research begins here.

- void; - focusMode: string; - setFocusMode: (mode: string) => void; - optimizationMode: string; - setOptimizationMode: (mode: string) => void; - fileIds: string[]; - setFileIds: (fileIds: string[]) => void; - files: File[]; - setFiles: (files: File[]) => void; -}) => { - const [copilotEnabled, setCopilotEnabled] = useState(false); - const [message, setMessage] = useState(''); - - const inputRef = useRef(null); - - useEffect(() => { - const handleKeyDown = (e: KeyboardEvent) => { - const activeElement = document.activeElement; - - const isInputFocused = - activeElement?.tagName === 'INPUT' || - activeElement?.tagName === 'TEXTAREA' || - activeElement?.hasAttribute('contenteditable'); - - if (e.key === '/' && !isInputFocused) { - e.preventDefault(); - inputRef.current?.focus(); - } - }; - - document.addEventListener('keydown', handleKeyDown); - - inputRef.current?.focus(); - - return () => { - document.removeEventListener('keydown', handleKeyDown); - }; - }, []); - - return ( -
{ - e.preventDefault(); - sendMessage(message); - setMessage(''); - }} - onKeyDown={(e) => { - if (e.key === 'Enter' && !e.shiftKey) { - e.preventDefault(); - sendMessage(message); - setMessage(''); - } - }} - className="w-full" - > -
- setMessage(e.target.value)} - minRows={2} - className="bg-transparent placeholder:text-black/50 dark:placeholder:text-white/50 text-sm text-black dark:text-white resize-none focus:outline-none w-full max-h-24 lg:max-h-36 xl:max-h-48" - placeholder="Ask anything..." - /> -
-
- - -
-
- - -
-
-
-
- ); -}; - -export default EmptyChatMessageInput; diff --git a/src/components/MessageActions/ModelInfo.tsx b/src/components/MessageActions/ModelInfo.tsx new file mode 100644 index 0000000..330352c --- /dev/null +++ b/src/components/MessageActions/ModelInfo.tsx @@ -0,0 +1,82 @@ +'use client'; + +import React, { useState, useEffect, useRef } from 'react'; +import { Info } from 'lucide-react'; +import { ModelStats } from '../ChatWindow'; +import { cn } from '@/lib/utils'; + +interface ModelInfoButtonProps { + modelStats: ModelStats | null; +} + +const ModelInfoButton: React.FC = ({ modelStats }) => { + const [showPopover, setShowPopover] = useState(false); + const popoverRef = useRef(null); + const buttonRef = useRef(null); + + // Always render, using "Unknown" as fallback if model info isn't available + const modelName = modelStats?.modelName || 'Unknown'; + + useEffect(() => { + const handleClickOutside = (event: MouseEvent) => { + if ( + popoverRef.current && + !popoverRef.current.contains(event.target as Node) && + buttonRef.current && + !buttonRef.current.contains(event.target as Node) + ) { + setShowPopover(false); + } + }; + + document.addEventListener('mousedown', handleClickOutside); + return () => { + document.removeEventListener('mousedown', handleClickOutside); + }; + }, []); + + return ( +
+ + {showPopover && ( +
+
+

+ Model Information +

+
+
+ Model: + + {modelName} + +
+ {modelStats?.responseTime && ( +
+ + Response time: + + + {(modelStats.responseTime / 1000).toFixed(2)}s + +
+ )} +
+
+
+ )} +
+ ); +}; + +export default ModelInfoButton; diff --git a/src/components/MessageBox.tsx b/src/components/MessageBox.tsx index a7c46ec..793ff8f 100644 --- a/src/components/MessageBox.tsx +++ b/src/components/MessageBox.tsx @@ -1,120 +1,56 @@ -'use client'; - -/* eslint-disable @next/next/no-img-element */ -import React, { MutableRefObject, useEffect, useState } from 'react'; -import { Message } from './ChatWindow'; import { cn } from '@/lib/utils'; -import { - BookCopy, - Disc3, - Volume2, - StopCircle, - Layers3, - Plus, -} from 'lucide-react'; -import Markdown, { MarkdownToJSX } from 'markdown-to-jsx'; -import Copy from './MessageActions/Copy'; -import Rewrite from './MessageActions/Rewrite'; -import MessageSources from './MessageSources'; -import SearchImages from './SearchImages'; -import SearchVideos from './SearchVideos'; -import { useSpeech } from 'react-text-to-speech'; -import ThinkBox from './ThinkBox'; - -const ThinkTagProcessor = ({ children }: { children: React.ReactNode }) => { - return ; -}; +import { Check, Pencil, X } from 'lucide-react'; +import { useState } from 'react'; +import { Message } from './ChatWindow'; +import MessageTabs from './MessageTabs'; const MessageBox = ({ message, messageIndex, history, loading, - dividerRef, isLast, rewrite, sendMessage, + handleEditMessage, }: { message: Message; messageIndex: number; history: Message[]; loading: boolean; - dividerRef?: MutableRefObject; isLast: boolean; rewrite: (messageId: string) => void; - sendMessage: (message: string) => void; -}) => { - const [parsedMessage, setParsedMessage] = useState(message.content); - const [speechMessage, setSpeechMessage] = useState(message.content); - - useEffect(() => { - const citationRegex = /\[([^\]]+)\]/g; - const regex = /\[(\d+)\]/g; - let processedMessage = message.content; - - if (message.role === 'assistant' && message.content.includes('')) { - const openThinkTag = processedMessage.match(//g)?.length || 0; - const closeThinkTag = processedMessage.match(/<\/think>/g)?.length || 0; - - if (openThinkTag > closeThinkTag) { - processedMessage += ' '; // The extra is to prevent the the think component from looking bad - } - } - - if ( - message.role === 'assistant' && - message?.sources && - message.sources.length > 0 - ) { - setParsedMessage( - processedMessage.replace( - citationRegex, - (_, capturedContent: string) => { - const numbers = capturedContent - .split(',') - .map((numStr) => numStr.trim()); - - const linksHtml = numbers - .map((numStr) => { - const number = parseInt(numStr); - - if (isNaN(number) || number <= 0) { - return `[${numStr}]`; - } - - const source = message.sources?.[number - 1]; - const url = source?.metadata?.url; - - if (url) { - return `${numStr}`; - } else { - return `[${numStr}]`; - } - }) - .join(''); - - return linksHtml; - }, - ), - ); - setSpeechMessage(message.content.replace(regex, '')); - return; - } - - setSpeechMessage(message.content.replace(regex, '')); - setParsedMessage(processedMessage); - }, [message.content, message.sources, message.role]); - - const { speechStatus, start, stop } = useSpeech({ text: speechMessage }); - - const markdownOverrides: MarkdownToJSX.Options = { - overrides: { - think: { - component: ThinkTagProcessor, - }, + sendMessage: ( + message: string, + options?: { + messageId?: string; + rewriteIndex?: number; + suggestions?: string[]; }, + ) => void; + handleEditMessage: (messageId: string, content: string) => void; +}) => { + // Local state for editing functionality + const [isEditing, setIsEditing] = useState(false); + const [editedContent, setEditedContent] = useState(''); + + // Initialize editing + const startEditMessage = () => { + setIsEditing(true); + setEditedContent(message.content); }; + // Cancel editing + const cancelEditMessage = () => { + setIsEditing(false); + setEditedContent(''); + }; + + // Save edits + const saveEditMessage = () => { + handleEditMessage(message.messageId, editedContent); + setIsEditing(false); + }; return (
{message.role === 'user' && ( @@ -125,135 +61,66 @@ const MessageBox = ({ 'break-words', )} > -

- {message.content} -

+ {isEditing ? ( +
+