feat: implement Anthropic API integration with simulation mode and a configurable admin dashboard
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@@ -2,47 +2,52 @@ import { storage } from './storage';
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/**
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* Anthropic API Service
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* Handles communication with the /v1/messages endpoint.
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* Handles communication with the /v1/messages endpoint via Nginx proxy.
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*/
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const MODEL = 'claude-3-7-sonnet-20250219'; // using the latest sonnet model for best results. Alternatively, claude-3-5-sonnet-20241022 or the prompt's requested claude-sonnet-4-20250514 (which might be a pseudo-name for the upcoming 3.7 or future version).
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const DEFAULT_MODEL = 'claude-sonnet-4-20250514';
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export const anthropicApi = {
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/**
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* Call the Anthropic API with a system prompt and user message.
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* Includes a basic retry mechanism.
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*/
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async generateContent(systemPrompt, userMessage, maxRetries = 1) {
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let retries = 0;
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// In a real application, the API key should not be exposed to the client.
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// For this prototype, we'll assume it's passed or available in the environment,
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// or proxied via a secure endpoint if deployed.
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// Prioritize key from local storage (set via Admin Settings)
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const apiKey = storage.get('admin:anthropic_key') || import.meta.env.VITE_ANTHROPIC_API_KEY || 'no-key-provided';
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// Check if simulation mode is on
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const useSimulation = storage.get('admin:use_simulation') === true;
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if (useSimulation) {
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console.log('[API] Simulatie mode actief. Mock data wordt geretourneerd.');
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return await simulateResponse();
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}
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const apiKey = storage.get('admin:anthropic_key') || import.meta.env.VITE_ANTHROPIC_API_KEY;
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if (!apiKey) {
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throw new Error('Geen Anthropic API key gevonden. Ga naar Admin -> Settings.');
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}
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// Model is configurable from Admin > Settings, defaults to the original spec model
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const model = storage.get('admin:model') || DEFAULT_MODEL;
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console.log(`[API] Aanroep met model: ${model}`);
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let retries = 0;
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while (retries <= maxRetries) {
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try {
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const response = await fetch('https://api.anthropic.com/v1/messages', {
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const response = await fetch('/api/anthropic/v1/messages', {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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'x-api-key': apiKey,
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'anthropic-version': '2023-06-01',
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'anthropic-dangerous-direct-browser-access': 'true' // Required for client-side fetch
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'anthropic-dangerous-direct-browser-access': 'true'
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},
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body: JSON.stringify({
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model: MODEL,
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model: model,
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max_tokens: 4000,
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system: systemPrompt,
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messages: [
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{ role: 'user', content: userMessage }
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]
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messages: [{ role: 'user', content: userMessage }]
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})
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});
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if (!response.ok) {
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throw new Error(`API Error: ${response.status} ${response.statusText}`);
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const errData = await response.json().catch(() => ({}));
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console.error('[API] Error response:', errData);
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throw new Error(`API Error: ${response.status} ${response.statusText} - ${JSON.stringify(errData)}`);
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}
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const data = await response.json();
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@@ -50,12 +55,24 @@ export const anthropicApi = {
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} catch (error) {
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console.error('API call failed:', error);
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retries++;
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if (retries > maxRetries) {
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throw new Error('Failed to generate content after retries.');
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}
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// Small delay before retry
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await new Promise(resolve => setTimeout(resolve, 1000));
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if (retries > maxRetries) throw error;
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await new Promise(r => setTimeout(r, 1000));
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}
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}
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}
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};
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async function simulateResponse() {
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await new Promise(r => setTimeout(r, 2000));
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return JSON.stringify({
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topics: [
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{ id: "radicale-transparantie", label: "Radicale Transparantie", type: "concept", description: "De kernwaarde van Respellion waarbij alle informatie publiek toegankelijk is." },
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{ id: "kennisbeheer", label: "Kennisbeheer", type: "process", description: "Het proces van het vastleggen en ontsluiten van organisatiekennis." },
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{ id: "wekelijkse-sessie", label: "Wekelijkse Leersessie", type: "process", description: "Elke week leren medewerkers via AI-gegenereerde vragen en quizzen." }
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],
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relations: [
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{ source: "kennisbeheer", target: "radicale-transparantie", type: "depends_on" },
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{ source: "wekelijkse-sessie", target: "kennisbeheer", type: "part_of" }
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]
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});
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}
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