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3509f84cc6
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3509f84cc6 | ||
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7288c97326 | ||
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3545137bc0 |
@@ -89,6 +89,7 @@ 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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@@ -11,6 +11,9 @@ 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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@@ -5,6 +5,7 @@ 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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updateConfig,
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@@ -52,6 +53,7 @@ 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['customOpenaiApiUrl'] = getCustomOpenaiApiUrl();
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config['customOpenaiApiKey'] = getCustomOpenaiApiKey();
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@@ -79,6 +81,9 @@ 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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@@ -125,7 +125,7 @@ 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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'',
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);
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if (!body.stream) {
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@@ -17,6 +17,7 @@ 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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@@ -801,6 +802,25 @@ 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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@@ -25,6 +25,9 @@ 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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API_KEY: string;
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};
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CUSTOM_OPENAI: {
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API_URL: string;
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API_KEY: string;
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@@ -54,6 +57,8 @@ 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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@@ -12,6 +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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export interface ChatModel {
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displayName: string;
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@@ -32,6 +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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};
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export const embeddingModelProviders: Record<
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61
src/lib/providers/openrouter.ts
Normal file
61
src/lib/providers/openrouter.ts
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@@ -0,0 +1,61 @@
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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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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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}
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export const loadOpenrouterChatModels = async () => {
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await fetchModelList();
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const openrouterApikey = getOpenrouterApiKey();
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if (!openrouterApikey) return {};
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try {
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const chatModels: Record<string, ChatModel> = {};
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openrouterChatModels.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: openrouterApikey,
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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://openrouter.ai/api/v1',
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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 Openrouter models: ${err}`);
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return {};
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}
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};
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