mirror of
https://github.com/ItzCrazyKns/Perplexica.git
synced 2025-09-16 22:31:32 +00:00
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13 Commits
bdba92f452
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feat/azure
Author | SHA1 | Date | |
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da1123d84b | ||
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627775c430 | ||
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245573efca | ||
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a85f762c58 | ||
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3ddcceda0a | ||
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e226645bc7 | ||
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5447530ece | ||
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ed6d46a440 | ||
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588e68e93e | ||
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c4440327db | ||
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64e2d457cc | ||
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bf705afc21 | ||
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2e4433a6b3 |
@@ -89,7 +89,6 @@ There are mainly 2 ways of installing Perplexica - With Docker, Without Docker.
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- `OPENAI`: Your OpenAI API key. **You only need to fill this if you wish to use OpenAI's models**.
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- `OLLAMA`: Your Ollama API URL. You should enter it as `http://host.docker.internal:PORT_NUMBER`. If you installed Ollama on port 11434, use `http://host.docker.internal:11434`. For other ports, adjust accordingly. **You need to fill this if you wish to use Ollama's models instead of OpenAI's**.
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- `GROQ`: Your Groq API key. **You only need to fill this if you wish to use Groq's hosted models**.
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- `OPENROUTER`: Your OpenRouter API key. **You only need to fill this if you wish to use models via OpenRouter**.
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- `ANTHROPIC`: Your Anthropic API key. **You only need to fill this if you wish to use Anthropic models**.
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**Note**: You can change these after starting Perplexica from the settings dialog.
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@@ -33,6 +33,7 @@ The API accepts a JSON object in the request body, where you define the focus mo
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["human", "Hi, how are you?"],
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["assistant", "I am doing well, how can I help you today?"]
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],
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"systemInstructions": "Focus on providing technical details about Perplexica's architecture.",
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"stream": false
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}
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```
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@@ -63,6 +64,8 @@ The API accepts a JSON object in the request body, where you define the focus mo
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- **`query`** (string, required): The search query or question.
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- **`systemInstructions`** (string, optional): Custom instructions provided by the user to guide the AI's response. These instructions are treated as user preferences and have lower priority than the system's core instructions. For example, you can specify a particular writing style, format, or focus area.
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- **`history`** (array, optional): An array of message pairs representing the conversation history. Each pair consists of a role (either 'human' or 'assistant') and the message content. This allows the system to use the context of the conversation to refine results. Example:
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```json
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@@ -1,6 +1,6 @@
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{
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"name": "perplexica-frontend",
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"version": "1.10.1",
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"version": "1.10.2",
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"license": "MIT",
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"author": "ItzCrazyKns",
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"scripts": {
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@@ -11,9 +11,6 @@ API_KEY = ""
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[MODELS.ANTHROPIC]
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API_KEY = ""
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[MODELS.OPENROUTER]
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API_KEY = ""
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[MODELS.GEMINI]
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API_KEY = ""
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@@ -25,5 +22,8 @@ MODEL_NAME = ""
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[MODELS.OLLAMA]
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API_URL = "" # Ollama API URL - http://host.docker.internal:11434
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[MODELS.DEEPSEEK]
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API_KEY = ""
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[API_ENDPOINTS]
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SEARXNG = "" # SearxNG API URL - http://localhost:32768
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@@ -5,9 +5,9 @@ import {
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getCustomOpenaiModelName,
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getGeminiApiKey,
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getGroqApiKey,
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getOpenrouterApiKey,
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getOllamaApiEndpoint,
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getOpenaiApiKey,
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getDeepseekApiKey,
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updateConfig,
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} from '@/lib/config';
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import {
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@@ -53,8 +53,8 @@ export const GET = async (req: Request) => {
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config['ollamaApiUrl'] = getOllamaApiEndpoint();
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config['anthropicApiKey'] = getAnthropicApiKey();
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config['groqApiKey'] = getGroqApiKey();
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config['openrouterApiKey'] = getOpenrouterApiKey();
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config['geminiApiKey'] = getGeminiApiKey();
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config['deepseekApiKey'] = getDeepseekApiKey();
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config['customOpenaiApiUrl'] = getCustomOpenaiApiUrl();
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config['customOpenaiApiKey'] = getCustomOpenaiApiKey();
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config['customOpenaiModelName'] = getCustomOpenaiModelName();
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@@ -81,9 +81,6 @@ export const POST = async (req: Request) => {
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GROQ: {
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API_KEY: config.groqApiKey,
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},
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OPENROUTER: {
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API_KEY: config.openrouterApiKey,
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},
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ANTHROPIC: {
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API_KEY: config.anthropicApiKey,
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},
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@@ -93,6 +90,9 @@ export const POST = async (req: Request) => {
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OLLAMA: {
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API_URL: config.ollamaApiUrl,
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},
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DEEPSEEK: {
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API_KEY: config.deepseekApiKey,
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},
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CUSTOM_OPENAI: {
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API_URL: config.customOpenaiApiUrl,
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API_KEY: config.customOpenaiApiKey,
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@@ -34,6 +34,7 @@ interface ChatRequestBody {
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query: string;
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history: Array<[string, string]>;
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stream?: boolean;
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systemInstructions?: string;
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}
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export const POST = async (req: Request) => {
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@@ -125,7 +126,7 @@ export const POST = async (req: Request) => {
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embeddings,
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body.optimizationMode,
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[],
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'',
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body.systemInstructions || '',
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);
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if (!body.stream) {
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@@ -17,10 +17,10 @@ interface SettingsType {
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};
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openaiApiKey: string;
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groqApiKey: string;
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openrouterApiKey: string;
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anthropicApiKey: string;
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geminiApiKey: string;
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ollamaApiUrl: string;
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deepseekApiKey: string;
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customOpenaiApiKey: string;
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customOpenaiApiUrl: string;
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customOpenaiModelName: string;
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@@ -802,25 +802,6 @@ const Page = () => {
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/>
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</div>
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<div className="flex flex-col space-y-1">
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<p className="text-black/70 dark:text-white/70 text-sm">
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OpenRouter API Key
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</p>
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<Input
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type="text"
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placeholder="OpenRouter API Key"
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value={config.openrouterApiKey}
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isSaving={savingStates['openrouterApiKey']}
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onChange={(e) => {
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setConfig((prev) => ({
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...prev!,
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openrouterApiKey: e.target.value,
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}));
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}}
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onSave={(value) => saveConfig('openrouterApiKey', value)}
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/>
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</div>
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<div className="flex flex-col space-y-1">
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<p className="text-black/70 dark:text-white/70 text-sm">
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Anthropic API Key
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@@ -858,6 +839,25 @@ const Page = () => {
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onSave={(value) => saveConfig('geminiApiKey', value)}
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/>
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</div>
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<div className="flex flex-col space-y-1">
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<p className="text-black/70 dark:text-white/70 text-sm">
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Deepseek API Key
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</p>
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<Input
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type="text"
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placeholder="Deepseek API Key"
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value={config.deepseekApiKey}
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isSaving={savingStates['deepseekApiKey']}
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onChange={(e) => {
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setConfig((prev) => ({
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...prev!,
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deepseekApiKey: e.target.value,
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}));
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}}
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onSave={(value) => saveConfig('deepseekApiKey', value)}
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/>
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</div>
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</div>
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</SettingsSection>
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</div>
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@@ -48,6 +48,7 @@ const MessageBox = ({
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const [speechMessage, setSpeechMessage] = useState(message.content);
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useEffect(() => {
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const citationRegex = /\[([^\]]+)\]/g;
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const regex = /\[(\d+)\]/g;
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let processedMessage = message.content;
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@@ -67,11 +68,33 @@ const MessageBox = ({
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) {
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setParsedMessage(
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processedMessage.replace(
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regex,
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(_, number) =>
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`<a href="${
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message.sources?.[number - 1]?.metadata?.url
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}" target="_blank" className="bg-light-secondary dark:bg-dark-secondary px-1 rounded ml-1 no-underline text-xs text-black/70 dark:text-white/70 relative">${number}</a>`,
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citationRegex,
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(_, capturedContent: string) => {
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const numbers = capturedContent
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.split(',')
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.map((numStr) => numStr.trim());
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const linksHtml = numbers
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.map((numStr) => {
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const number = parseInt(numStr);
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if (isNaN(number) || number <= 0) {
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return `[${numStr}]`;
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}
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const source = message.sources?.[number - 1];
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const url = source?.metadata?.url;
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if (url) {
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return `<a href="${url}" target="_blank" className="bg-light-secondary dark:bg-dark-secondary px-1 rounded ml-1 no-underline text-xs text-black/70 dark:text-white/70 relative">${numStr}</a>`;
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} else {
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return `[${numStr}]`;
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}
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})
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.join('');
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return linksHtml;
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},
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),
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);
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return;
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@@ -25,7 +25,7 @@ interface Config {
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OLLAMA: {
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API_URL: string;
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};
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OPENROUTER: {
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DEEPSEEK: {
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API_KEY: string;
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};
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CUSTOM_OPENAI: {
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@@ -57,8 +57,6 @@ export const getOpenaiApiKey = () => loadConfig().MODELS.OPENAI.API_KEY;
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export const getGroqApiKey = () => loadConfig().MODELS.GROQ.API_KEY;
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export const getOpenrouterApiKey = () => loadConfig().MODELS.OPENROUTER.API_KEY;
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export const getAnthropicApiKey = () => loadConfig().MODELS.ANTHROPIC.API_KEY;
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export const getGeminiApiKey = () => loadConfig().MODELS.GEMINI.API_KEY;
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@@ -68,6 +66,8 @@ export const getSearxngApiEndpoint = () =>
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export const getOllamaApiEndpoint = () => loadConfig().MODELS.OLLAMA.API_URL;
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export const getDeepseekApiKey = () => loadConfig().MODELS.DEEPSEEK.API_KEY;
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export const getCustomOpenaiApiKey = () =>
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loadConfig().MODELS.CUSTOM_OPENAI.API_KEY;
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44
src/lib/providers/deepseek.ts
Normal file
44
src/lib/providers/deepseek.ts
Normal file
@@ -0,0 +1,44 @@
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import { ChatOpenAI } from '@langchain/openai';
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import { getDeepseekApiKey } from '../config';
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import { ChatModel } from '.';
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import { BaseChatModel } from '@langchain/core/language_models/chat_models';
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const deepseekChatModels: Record<string, string>[] = [
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{
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displayName: 'Deepseek Chat (Deepseek V3)',
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key: 'deepseek-chat',
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},
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{
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displayName: 'Deepseek Reasoner (Deepseek R1)',
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key: 'deepseek-reasoner',
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},
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];
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export const loadDeepseekChatModels = async () => {
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const deepseekApiKey = getDeepseekApiKey();
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if (!deepseekApiKey) return {};
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try {
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const chatModels: Record<string, ChatModel> = {};
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deepseekChatModels.forEach((model) => {
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chatModels[model.key] = {
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displayName: model.displayName,
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model: new ChatOpenAI({
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openAIApiKey: deepseekApiKey,
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modelName: model.key,
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temperature: 0.7,
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configuration: {
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baseURL: 'https://api.deepseek.com',
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},
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}) as unknown as BaseChatModel,
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};
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});
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return chatModels;
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} catch (err) {
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console.error(`Error loading Deepseek models: ${err}`);
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return {};
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}
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};
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@@ -40,8 +40,12 @@ const geminiChatModels: Record<string, string>[] = [
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const geminiEmbeddingModels: Record<string, string>[] = [
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{
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displayName: 'Gemini Embedding',
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key: 'gemini-embedding-exp',
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displayName: 'Text Embedding 004',
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key: 'models/text-embedding-004',
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},
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{
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displayName: 'Embedding 001',
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key: 'models/embedding-001',
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},
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];
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@@ -72,6 +72,14 @@ const groqChatModels: Record<string, string>[] = [
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displayName: 'Llama 3.2 90B Vision Preview (Preview)',
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key: 'llama-3.2-90b-vision-preview',
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},
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/* {
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displayName: 'Llama 4 Maverick 17B 128E Instruct (Preview)',
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key: 'meta-llama/llama-4-maverick-17b-128e-instruct',
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}, */
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{
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displayName: 'Llama 4 Scout 17B 16E Instruct (Preview)',
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key: 'meta-llama/llama-4-scout-17b-16e-instruct',
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},
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];
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export const loadGroqChatModels = async () => {
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@@ -12,7 +12,7 @@ import { loadGroqChatModels } from './groq';
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import { loadAnthropicChatModels } from './anthropic';
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import { loadGeminiChatModels, loadGeminiEmbeddingModels } from './gemini';
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import { loadTransformersEmbeddingsModels } from './transformers';
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import { loadOpenrouterChatModels } from '@/lib/providers/openrouter';
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import { loadDeepseekChatModels } from './deepseek';
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export interface ChatModel {
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displayName: string;
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@@ -33,7 +33,7 @@ export const chatModelProviders: Record<
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groq: loadGroqChatModels,
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anthropic: loadAnthropicChatModels,
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gemini: loadGeminiChatModels,
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openrouter: loadOpenrouterChatModels,
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deepseek: loadDeepseekChatModels,
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};
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export const embeddingModelProviders: Record<
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|
@@ -1,61 +0,0 @@
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import { ChatOpenAI } from '@langchain/openai';
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import { getOpenrouterApiKey } from '../config';
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import { ChatModel } from '.';
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import { BaseChatModel } from '@langchain/core/language_models/chat_models';
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let openrouterChatModels: Record<string, string>[] = [];
|
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async function fetchModelList(): Promise<void> {
|
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try {
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const response = await fetch('https://openrouter.ai/api/v1/models', {
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method: 'GET',
|
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headers: {
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'Content-Type': 'application/json',
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},
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||||
});
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|
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if (!response.ok) {
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throw new Error(`API request failed with status: ${response.status}`);
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}
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const data = await response.json();
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openrouterChatModels = data.data.map((model: any) => ({
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displayName: model.name,
|
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key: model.id,
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}));
|
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} catch (error) {
|
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console.error('Error fetching models:', error);
|
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}
|
||||
}
|
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export const loadOpenrouterChatModels = async () => {
|
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await fetchModelList();
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|
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const openrouterApikey = getOpenrouterApiKey();
|
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|
||||
if (!openrouterApikey) return {};
|
||||
|
||||
try {
|
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const chatModels: Record<string, ChatModel> = {};
|
||||
|
||||
openrouterChatModels.forEach((model) => {
|
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chatModels[model.key] = {
|
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displayName: model.displayName,
|
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model: new ChatOpenAI({
|
||||
openAIApiKey: openrouterApikey,
|
||||
modelName: model.key,
|
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temperature: 0.7,
|
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configuration: {
|
||||
baseURL: 'https://openrouter.ai/api/v1',
|
||||
},
|
||||
}) as unknown as BaseChatModel,
|
||||
};
|
||||
});
|
||||
|
||||
return chatModels;
|
||||
} catch (err) {
|
||||
console.error(`Error loading Openrouter models: ${err}`);
|
||||
return {};
|
||||
}
|
||||
};
|
Reference in New Issue
Block a user