2026-05-10 10:46:41 +02:00
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const express = require('express');
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const app = express();
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2026-05-10 11:11:59 +02:00
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const OLLAMA_URL = process.env.OLLAMA_URL || 'https://ollama.aquantico.de/api/chat';
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const OLLAMA_MODEL = process.env.OLLAMA_MODEL || 'qwen3.6:35b-a3b-q4_K_M';
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const OLLAMA_AUTH = process.env.OLLAMA_AUTH || '324GF44-50AA-4B57-9386-K435DLJ764DFR';
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const PORT = parseInt(process.env.PORT || '11435', 10);
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2026-05-10 10:46:41 +02:00
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const colors = {
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2026-05-10 11:11:59 +02:00
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reset: '\x1b[0m',
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cyan: '\x1b[36m',
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green: '\x1b[32m',
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2026-05-10 10:46:41 +02:00
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magenta: '\x1b[35m',
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2026-05-10 11:11:59 +02:00
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yellow: '\x1b[33m',
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blue: '\x1b[34m',
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red: '\x1b[31m'
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2026-05-10 10:46:41 +02:00
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};
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2026-05-10 11:11:59 +02:00
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app.set('trust proxy', 1);
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2026-05-10 10:46:41 +02:00
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app.use(express.json({ limit: '50mb' }));
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2026-05-10 11:11:59 +02:00
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// ── Info-Seite ────────────────────────────────────────────────────────────────
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app.get('/', (req, res) => {
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const host = `${req.protocol}://${req.get('host')}`;
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res.setHeader('Content-Type', 'text/html; charset=utf-8');
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res.send(`<!DOCTYPE html>
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<html lang="de">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1">
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<title>noThinkProxy</title>
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<style>
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*{box-sizing:border-box;margin:0;padding:0}
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body{font-family:system-ui,sans-serif;background:#0f0f0f;color:#e0e0e0;padding:2rem}
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h1{color:#a78bfa;font-size:1.8rem;margin-bottom:.4rem}
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h2{color:#7dd3fc;font-size:1.1rem;margin:2rem 0 .6rem}
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p{color:#9ca3af;line-height:1.6;margin-bottom:.8rem}
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code{background:#1e1e2e;color:#cba6f7;padding:.15rem .4rem;border-radius:.25rem;font-size:.9rem}
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pre{background:#1e1e2e;border:1px solid #333;border-radius:.5rem;padding:1rem;overflow-x:auto;margin:.5rem 0 1rem}
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pre code{background:none;padding:0;color:#a6e3a1}
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.badge{display:inline-block;background:#1e3a5f;color:#7dd3fc;border-radius:.25rem;padding:.1rem .5rem;font-size:.8rem;margin-left:.5rem}
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table{width:100%;border-collapse:collapse;margin:.5rem 0 1rem}
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td,th{border:1px solid #333;padding:.4rem .8rem;text-align:left}
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th{background:#1e1e2e;color:#7dd3fc}
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.copy-btn{cursor:pointer;background:#2d2d4e;border:1px solid #555;color:#cba6f7;padding:.2rem .6rem;border-radius:.25rem;font-size:.75rem;margin-left:.5rem}
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</style>
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</head>
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<body>
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<h1>noThinkProxy <span class="badge">v1.0</span></h1>
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<p>Anthropic-API → Ollama-Proxy · Think-Modus deaktiviert · Modell-Substitution aktiv</p>
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<h2>Aktuelle Konfiguration</h2>
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<table>
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<tr><th>Parameter</th><th>Wert</th></tr>
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<tr><td>Ollama URL</td><td><code>${OLLAMA_URL.replace(/\/api\/chat$/, '')}</code></td></tr>
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<tr><td>Modell</td><td><code>${OLLAMA_MODEL}</code></td></tr>
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<tr><td>Kontext</td><td><code>262144 Token (256k)</code></td></tr>
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<tr><td>Think</td><td><code>false</code></td></tr>
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<tr><td>Proxy-URL</td><td><code>${host}</code></td></tr>
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</table>
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<h2>localclaude installieren</h2>
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<p>Installiert das Script <code>localclaude</code> nach <code>/usr/local/bin</code> (oder <code>~/.local/bin</code>):</p>
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<pre><code>curl -fsSL ${host}/install.sh | bash</code></pre>
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<h2>Starten</h2>
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<pre><code>localclaude</code></pre>
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<p><code>localclaude</code> setzt automatisch <code>ANTHROPIC_BASE_URL=${host}</code> und ruft <code>claude</code> auf.</p>
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<h2>API-Endpunkt</h2>
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<pre><code>POST ${host}/v1/messages</code></pre>
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<p>Kompatibel mit dem Anthropic SDK. Alle <code>claude-*</code> Modellnamen werden automatisch auf <code>${OLLAMA_MODEL}</code> umgeleitet.</p>
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</body>
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</html>`);
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});
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// ── Install-Script ────────────────────────────────────────────────────────────
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app.get('/install.sh', (req, res) => {
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const host = `${req.protocol}://${req.get('host')}`;
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res.setHeader('Content-Type', 'text/plain; charset=utf-8');
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res.send(`#!/usr/bin/env bash
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set -euo pipefail
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PROXY_URL="${host}"
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INSTALL_DIR="/usr/local/bin"
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NEEDS_PATH_UPDATE=false
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echo ""
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echo "=== noThinkProxy · localclaude Installer ==="
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echo ""
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# Zielverzeichnis bestimmen (ohne sudo → ~/.local/bin)
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if [ ! -w "\$INSTALL_DIR" ]; then
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INSTALL_DIR="\$HOME/.local/bin"
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mkdir -p "\$INSTALL_DIR"
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fi
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# localclaude-Script schreiben
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cat > "\$INSTALL_DIR/localclaude" <<'SCRIPT'
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#!/usr/bin/env bash
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export ANTHROPIC_BASE_URL="${host}"
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exec claude "\$@"
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SCRIPT
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chmod +x "\$INSTALL_DIR/localclaude"
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# PATH prüfen und ggf. in Shell-Config eintragen
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if ! echo "\$PATH" | grep -q "\$INSTALL_DIR"; then
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NEEDS_PATH_UPDATE=true
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echo "» Trage \$INSTALL_DIR in ~/.bashrc und ~/.zshrc ein..."
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echo "export PATH=\\"\$INSTALL_DIR:\$PATH\\"" >> "\$HOME/.bashrc"
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echo "export PATH=\\"\$INSTALL_DIR:\$PATH\\"" >> "\$HOME/.zshrc" 2>/dev/null || true
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fi
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echo "✓ localclaude installiert in \$INSTALL_DIR"
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echo ""
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if [ "\$NEEDS_PATH_UPDATE" = "true" ]; then
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echo "────────────────────────────────────────────"
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echo "Führe diesen Befehl jetzt aus damit localclaude sofort verfügbar ist:"
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echo ""
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echo " export PATH=\\"\$INSTALL_DIR:\$PATH\\""
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echo ""
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echo "In neuen Shell-Sessions ist es automatisch verfügbar."
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echo "────────────────────────────────────────────"
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else
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echo "Starte mit: localclaude"
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fi
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echo ""
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`);
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});
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// ── Hilfsfunktionen ───────────────────────────────────────────────────────────
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2026-05-10 10:46:41 +02:00
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function sanitizeToolSchema(schema) {
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if (!schema || typeof schema !== 'object') {
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return { type: 'object', properties: {} };
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}
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const clean = JSON.parse(JSON.stringify(schema));
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if (!clean.type) clean.type = 'object';
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if (!clean.properties) clean.properties = {};
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return clean;
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}
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function convertAnthropicTools(anthropicTools) {
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if (!anthropicTools || anthropicTools.length === 0) return [];
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const validTools = [];
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for (const tool of anthropicTools) {
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try {
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const ollamaTool = {
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type: 'function',
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function: {
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name: tool.name,
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description: (tool.description || '').substring(0, 500),
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parameters: sanitizeToolSchema(tool.input_schema)
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}
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};
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JSON.stringify(ollamaTool);
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validTools.push(ollamaTool);
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} catch (e) {
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console.error(`${colors.red}[Tool Schema Error] ${e.message}${colors.reset}`);
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}
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}
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return validTools;
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}
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function stringifyToolResultContent(content) {
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if (Array.isArray(content)) {
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return content
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.map(c => {
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if (typeof c === 'string') return c;
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if (c?.text) return c.text;
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return JSON.stringify(c);
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})
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.join('\n');
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}
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if (typeof content === 'string') return content;
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return JSON.stringify(content);
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}
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function convertAnthropicToOllama(anthropicBody) {
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const ollamaMessages = [];
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if (anthropicBody.system) {
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ollamaMessages.push({
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role: 'system',
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content:
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typeof anthropicBody.system === 'string'
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? anthropicBody.system
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: JSON.stringify(anthropicBody.system)
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});
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}
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for (const msg of anthropicBody.messages || []) {
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if (typeof msg.content === 'string') {
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ollamaMessages.push({ role: msg.role, content: msg.content });
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continue;
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}
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if (!Array.isArray(msg.content)) continue;
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if (msg.role === 'assistant') {
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const textParts = [];
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const toolCalls = [];
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for (const item of msg.content) {
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if (item.type === 'text') {
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textParts.push(item.text || '');
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} else if (item.type === 'tool_use') {
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toolCalls.push({
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function: {
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name: item.name,
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arguments: item.input || {}
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}
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});
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}
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}
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const assistantMsg = { role: 'assistant', content: textParts.join('\n\n') };
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if (toolCalls.length > 0) {
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assistantMsg.tool_calls = toolCalls;
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}
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ollamaMessages.push(assistantMsg);
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} else {
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const pendingText = [];
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for (const item of msg.content) {
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if (item.type === 'text') {
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pendingText.push(item.text || '');
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} else if (item.type === 'tool_result') {
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if (pendingText.length > 0) {
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ollamaMessages.push({ role: 'user', content: pendingText.join('\n\n') });
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pendingText.length = 0;
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}
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const resultText = stringifyToolResultContent(item.content);
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console.log(`${colors.blue}📥 Tool Result ${item.tool_use_id}:${colors.reset}`);
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console.log(`${colors.blue}${resultText}${colors.reset}`);
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console.log('');
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ollamaMessages.push({ role: 'tool', content: resultText });
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}
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}
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if (pendingText.length > 0) {
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ollamaMessages.push({ role: 'user', content: pendingText.join('\n\n') });
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}
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}
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}
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const ollamaBody = {
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model: anthropicBody.model,
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messages: ollamaMessages,
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stream: anthropicBody.stream !== false,
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think: false,
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options: {
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temperature: 0.7,
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num_predict: anthropicBody.max_tokens || 4096,
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num_ctx: 262144
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}
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};
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if (anthropicBody.tools && anthropicBody.tools.length > 0) {
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const validTools = convertAnthropicTools(anthropicBody.tools);
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if (validTools.length > 0) {
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ollamaBody.tools = validTools;
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}
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}
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return ollamaBody;
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}
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function parseToolArguments(args) {
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if (!args) return {};
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if (typeof args === 'string') {
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try {
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return JSON.parse(args);
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} catch (e) {
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console.error(`${colors.red}[Tool Args Parse Error] ${e.message}${colors.reset}`);
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return {};
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}
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}
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|
|
2026-05-10 11:11:59 +02:00
|
|
|
if (typeof args === 'object') return args;
|
2026-05-10 10:46:41 +02:00
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return {};
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}
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function makeToolDedupeKey(tc) {
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|
const name = tc.function?.name || '';
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const args = tc.function?.arguments || {};
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const argsString = typeof args === 'string' ? args : JSON.stringify(args);
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|
|
|
|
return `${name}:${argsString}`;
|
|
|
|
|
}
|
|
|
|
|
|
2026-05-10 11:11:59 +02:00
|
|
|
// ── Response-Handler ──────────────────────────────────────────────────────────
|
|
|
|
|
|
2026-05-10 10:46:41 +02:00
|
|
|
async function handleResponse(response, anthropicBody, res, requestNum) {
|
|
|
|
|
res.setHeader('Content-Type', 'text/event-stream');
|
|
|
|
|
res.setHeader('Cache-Control', 'no-cache');
|
|
|
|
|
res.setHeader('Connection', 'keep-alive');
|
|
|
|
|
|
|
|
|
|
const messageId = 'msg_' + requestNum;
|
|
|
|
|
|
|
|
|
|
res.write(`event: message_start\ndata: ${JSON.stringify({
|
|
|
|
|
type: 'message_start',
|
|
|
|
|
message: {
|
|
|
|
|
id: messageId,
|
|
|
|
|
type: 'message',
|
|
|
|
|
role: 'assistant',
|
|
|
|
|
content: [],
|
|
|
|
|
model: anthropicBody.model,
|
|
|
|
|
stop_reason: null,
|
|
|
|
|
stop_sequence: null,
|
|
|
|
|
usage: { input_tokens: 0, output_tokens: 0 }
|
|
|
|
|
}
|
|
|
|
|
})}\n\n`);
|
|
|
|
|
|
|
|
|
|
const reader = response.body.getReader();
|
|
|
|
|
const decoder = new TextDecoder();
|
|
|
|
|
|
|
|
|
|
let contentBlocks = [];
|
|
|
|
|
let currentBlockIndex = 0;
|
|
|
|
|
|
|
|
|
|
const seenToolCalls = new Set();
|
|
|
|
|
let emittedToolUse = false;
|
|
|
|
|
let messageFinished = false;
|
|
|
|
|
let buffer = '';
|
|
|
|
|
|
|
|
|
|
function processChunk(data) {
|
|
|
|
|
if (messageFinished) return;
|
|
|
|
|
|
|
|
|
|
if (data.message?.tool_calls && data.message.tool_calls.length > 0) {
|
|
|
|
|
for (const tc of data.message.tool_calls) {
|
|
|
|
|
const dedupeKey = makeToolDedupeKey(tc);
|
|
|
|
|
|
|
|
|
|
if (seenToolCalls.has(dedupeKey)) {
|
|
|
|
|
console.log(`${colors.yellow}[Duplicate Tool Call skipped] ${dedupeKey}${colors.reset}`);
|
|
|
|
|
continue;
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
seenToolCalls.add(dedupeKey);
|
|
|
|
|
emittedToolUse = true;
|
|
|
|
|
|
|
|
|
|
const toolName = tc.function?.name;
|
|
|
|
|
const toolInput = parseToolArguments(tc.function?.arguments);
|
|
|
|
|
const toolUseId = `toolu_${requestNum}_${currentBlockIndex}`;
|
|
|
|
|
|
|
|
|
|
console.log(`${colors.yellow}[Raw Tool Call] ${JSON.stringify(tc)}${colors.reset}`);
|
|
|
|
|
console.log(`${colors.magenta}[Sending Tool Use: ${toolName}]${colors.reset}`);
|
|
|
|
|
console.log(`${colors.magenta}Input: ${JSON.stringify(toolInput)}${colors.reset}`);
|
|
|
|
|
|
|
|
|
|
res.write(`event: content_block_start\ndata: ${JSON.stringify({
|
|
|
|
|
type: 'content_block_start',
|
|
|
|
|
index: currentBlockIndex,
|
2026-05-10 11:11:59 +02:00
|
|
|
content_block: { type: 'tool_use', id: toolUseId, name: toolName, input: {} }
|
2026-05-10 10:46:41 +02:00
|
|
|
})}\n\n`);
|
|
|
|
|
|
|
|
|
|
res.write(`event: content_block_delta\ndata: ${JSON.stringify({
|
|
|
|
|
type: 'content_block_delta',
|
|
|
|
|
index: currentBlockIndex,
|
2026-05-10 11:11:59 +02:00
|
|
|
delta: { type: 'input_json_delta', partial_json: JSON.stringify(toolInput) }
|
2026-05-10 10:46:41 +02:00
|
|
|
})}\n\n`);
|
|
|
|
|
|
|
|
|
|
res.write(`event: content_block_stop\ndata: ${JSON.stringify({
|
|
|
|
|
type: 'content_block_stop',
|
|
|
|
|
index: currentBlockIndex
|
|
|
|
|
})}\n\n`);
|
|
|
|
|
|
|
|
|
|
currentBlockIndex++;
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
if (data.message?.content) {
|
|
|
|
|
const text = data.message.content;
|
|
|
|
|
|
|
|
|
|
if (contentBlocks[currentBlockIndex] === undefined) {
|
|
|
|
|
res.write(`event: content_block_start\ndata: ${JSON.stringify({
|
|
|
|
|
type: 'content_block_start',
|
|
|
|
|
index: currentBlockIndex,
|
2026-05-10 11:11:59 +02:00
|
|
|
content_block: { type: 'text', text: '' }
|
2026-05-10 10:46:41 +02:00
|
|
|
})}\n\n`);
|
|
|
|
|
|
|
|
|
|
contentBlocks[currentBlockIndex] = '';
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
process.stdout.write(`${colors.green}${text}${colors.reset}`);
|
|
|
|
|
|
|
|
|
|
res.write(`event: content_block_delta\ndata: ${JSON.stringify({
|
|
|
|
|
type: 'content_block_delta',
|
|
|
|
|
index: currentBlockIndex,
|
2026-05-10 11:11:59 +02:00
|
|
|
delta: { type: 'text_delta', text }
|
2026-05-10 10:46:41 +02:00
|
|
|
})}\n\n`);
|
|
|
|
|
|
|
|
|
|
contentBlocks[currentBlockIndex] += text;
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
if (data.done) {
|
|
|
|
|
messageFinished = true;
|
|
|
|
|
|
|
|
|
|
if (contentBlocks[currentBlockIndex] !== undefined) {
|
|
|
|
|
res.write(`event: content_block_stop\ndata: ${JSON.stringify({
|
|
|
|
|
type: 'content_block_stop',
|
|
|
|
|
index: currentBlockIndex
|
|
|
|
|
})}\n\n`);
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
res.write(`event: message_delta\ndata: ${JSON.stringify({
|
|
|
|
|
type: 'message_delta',
|
2026-05-10 11:11:59 +02:00
|
|
|
delta: { stop_reason: emittedToolUse ? 'tool_use' : 'end_turn' },
|
|
|
|
|
usage: { output_tokens: data.eval_count || 0 }
|
2026-05-10 10:46:41 +02:00
|
|
|
})}\n\n`);
|
|
|
|
|
|
2026-05-10 11:11:59 +02:00
|
|
|
res.write(`event: message_stop\ndata: ${JSON.stringify({ type: 'message_stop' })}\n\n`);
|
2026-05-10 10:46:41 +02:00
|
|
|
|
|
|
|
|
console.log(`${colors.green}✓${colors.reset}\n`);
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
while (true) {
|
|
|
|
|
const { done, value } = await reader.read();
|
|
|
|
|
if (done) break;
|
|
|
|
|
|
|
|
|
|
buffer += decoder.decode(value, { stream: true });
|
|
|
|
|
|
|
|
|
|
const lines = buffer.split('\n');
|
|
|
|
|
buffer = lines.pop() || '';
|
|
|
|
|
|
|
|
|
|
for (const line of lines) {
|
|
|
|
|
const trimmed = line.trim();
|
|
|
|
|
if (!trimmed) continue;
|
|
|
|
|
|
|
|
|
|
try {
|
|
|
|
|
processChunk(JSON.parse(trimmed));
|
|
|
|
|
} catch (e) {
|
|
|
|
|
console.error(`${colors.red}[Stream Parse Error] ${e.message}${colors.reset}`);
|
|
|
|
|
console.error(`${colors.red}${line}${colors.reset}`);
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
if (buffer.trim()) {
|
|
|
|
|
try {
|
|
|
|
|
processChunk(JSON.parse(buffer.trim()));
|
|
|
|
|
} catch (e) {
|
|
|
|
|
console.error(`${colors.red}[Final Buffer Parse Error] ${e.message}${colors.reset}`);
|
|
|
|
|
console.error(buffer);
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
if (!messageFinished) {
|
|
|
|
|
if (contentBlocks[currentBlockIndex] !== undefined) {
|
|
|
|
|
res.write(`event: content_block_stop\ndata: ${JSON.stringify({
|
|
|
|
|
type: 'content_block_stop',
|
|
|
|
|
index: currentBlockIndex
|
|
|
|
|
})}\n\n`);
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
res.write(`event: message_delta\ndata: ${JSON.stringify({
|
|
|
|
|
type: 'message_delta',
|
2026-05-10 11:11:59 +02:00
|
|
|
delta: { stop_reason: emittedToolUse ? 'tool_use' : 'end_turn' },
|
|
|
|
|
usage: { output_tokens: 0 }
|
2026-05-10 10:46:41 +02:00
|
|
|
})}\n\n`);
|
|
|
|
|
|
2026-05-10 11:11:59 +02:00
|
|
|
res.write(`event: message_stop\ndata: ${JSON.stringify({ type: 'message_stop' })}\n\n`);
|
2026-05-10 10:46:41 +02:00
|
|
|
}
|
|
|
|
|
|
|
|
|
|
res.end();
|
|
|
|
|
}
|
|
|
|
|
|
2026-05-10 11:11:59 +02:00
|
|
|
// ── Proxy-Endpunkt ────────────────────────────────────────────────────────────
|
|
|
|
|
|
2026-05-10 10:46:41 +02:00
|
|
|
app.post('/v1/messages', async (req, res) => {
|
|
|
|
|
const requestNum = Date.now();
|
|
|
|
|
|
|
|
|
|
console.log(`${colors.magenta}━━━ #${requestNum} ━━━${colors.reset}`);
|
|
|
|
|
|
|
|
|
|
try {
|
|
|
|
|
const anthropicBody = req.body;
|
|
|
|
|
|
|
|
|
|
if (anthropicBody.model?.startsWith('claude-')) {
|
2026-05-10 11:11:59 +02:00
|
|
|
anthropicBody.model = OLLAMA_MODEL;
|
2026-05-10 10:46:41 +02:00
|
|
|
}
|
|
|
|
|
|
|
|
|
|
const ollamaBody = convertAnthropicToOllama(anthropicBody);
|
|
|
|
|
|
|
|
|
|
console.log(
|
2026-05-10 11:11:59 +02:00
|
|
|
`${colors.magenta}[msgs=${ollamaBody.messages.length}, tools=${ollamaBody.tools?.length || 0}, ctx=256k, think=false, model=${OLLAMA_MODEL}]${colors.reset}`
|
2026-05-10 10:46:41 +02:00
|
|
|
);
|
|
|
|
|
|
2026-05-10 11:11:59 +02:00
|
|
|
const response = await fetch(OLLAMA_URL, {
|
2026-05-10 10:46:41 +02:00
|
|
|
method: 'POST',
|
|
|
|
|
headers: {
|
|
|
|
|
'Content-Type': 'application/json',
|
2026-05-10 11:11:59 +02:00
|
|
|
'Authorization': `Bearer ${OLLAMA_AUTH}`
|
2026-05-10 10:46:41 +02:00
|
|
|
},
|
|
|
|
|
body: JSON.stringify(ollamaBody)
|
|
|
|
|
});
|
|
|
|
|
|
|
|
|
|
if (!response.ok) {
|
|
|
|
|
const errorText = await response.text();
|
|
|
|
|
console.error(`${colors.red}${errorText}${colors.reset}`);
|
|
|
|
|
throw new Error(`Ollama: ${response.status}`);
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
return handleResponse(response, anthropicBody, res, requestNum);
|
|
|
|
|
} catch (error) {
|
|
|
|
|
console.error(`${colors.red}${error.message}${colors.reset}`);
|
|
|
|
|
|
|
|
|
|
if (!res.headersSent) {
|
|
|
|
|
res.status(500).json({
|
|
|
|
|
type: 'error',
|
2026-05-10 11:11:59 +02:00
|
|
|
error: { type: 'api_error', message: error.message }
|
2026-05-10 10:46:41 +02:00
|
|
|
});
|
|
|
|
|
} else {
|
|
|
|
|
res.end();
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
});
|
|
|
|
|
|
2026-05-10 11:11:59 +02:00
|
|
|
app.listen(PORT, () => {
|
|
|
|
|
console.log(`${colors.magenta}noThinkProxy: localhost:${PORT}${colors.reset}`);
|
|
|
|
|
console.log(`${colors.cyan} Ollama : ${OLLAMA_URL}${colors.reset}`);
|
|
|
|
|
console.log(`${colors.cyan} Modell : ${OLLAMA_MODEL}${colors.reset}`);
|
|
|
|
|
console.log(`${colors.cyan} Ctx : 256k Think: false${colors.reset}\n`);
|
2026-05-10 10:46:41 +02:00
|
|
|
});
|
