Hitonabi
85 lines
3.2 KiB
JavaScript
85 lines
3.2 KiB
JavaScript
import { $ } from "../core/ui.js";
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let currentUrl = "http://localhost:8000";
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function render() {
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const c = document.querySelector(".view[data-view='guides']");
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if (!c) return;
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c.innerHTML = `
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<div class="grid grid-2">
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<div class="card">
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<div class="card-h"><h3>Cline / Cursor</h3></div>
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<p>Nutze llama-swap als lokalen OpenAI-kompatiblen Provider in Cursor oder Cline.</p>
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<label>API Provider</label>
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<input class="tokin mono-sm" readonly value="OpenAI Compatible">
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<label>Base URL</label>
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<input class="tokin mono-sm" readonly value="${currentUrl}/v1">
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<label>API Key</label>
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<input class="tokin mono-sm" readonly value="Dein_Mission_Control_Token_oder_leer">
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</div>
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<div class="card">
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<div class="card-h"><h3>OpenWebUI</h3></div>
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<p>Füge llama-swap in OpenWebUI als externe OpenAI-Verbindung hinzu.</p>
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<label>Settings -> Connections -> OpenAI API</label>
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<input class="tokin mono-sm" readonly value="${currentUrl}/v1">
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<label>API Key</label>
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<input class="tokin mono-sm" readonly value="dummy-key">
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<p style="margin-top:12px; font-size:12px; color:var(--text-dim);">
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OpenWebUI zieht sich danach automatisch alle geladenen Modelle.
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</p>
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</div>
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<div class="card" style="grid-column: span 2;">
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<div class="card-h"><h3>Python / LangChain (OpenAI SDK)</h3></div>
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<p>Nutze das offizielle <code>openai</code> Package, um mit llama-swap zu sprechen.</p>
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<pre style="background: var(--bg); padding: 12px; border-radius: 8px; border: 1px solid var(--border); overflow-x: auto; color: var(--text); font-family: monospace; font-size: 13px;"><code>from openai import OpenAI
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client = OpenAI(
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base_url="${currentUrl}/v1",
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api_key="Dein_Token" # Optional, falls in Mission Control konfiguriert
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)
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response = client.chat.completions.create(
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model="coder", # Alias aus deinem Cookbook
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messages=[{"role": "user", "content": "Hallo Modell!"}]
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)
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print(response.choices[0].message.content)</code></pre>
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</div>
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<div class="card" style="grid-column: span 2;">
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<div class="card-h"><h3>n8n / Zapier / HTTP Node</h3></div>
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<p>Führe direkte HTTP POST Requests gegen den Endpunkt aus.</p>
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<label>Methode & URL</label>
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<input class="tokin mono-sm" readonly value="POST ${currentUrl}/v1/chat/completions">
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<label>Headers</label>
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<input class="tokin mono-sm" readonly value="Content-Type: application/json">
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<label>Body (JSON)</label>
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<pre style="background: var(--bg); padding: 12px; border-radius: 8px; border: 1px solid var(--border); overflow-x: auto; color: var(--text); font-family: monospace; font-size: 13px;"><code>{
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"model": "coder",
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"messages": [
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{ "role": "user", "content": "Erkläre mir Quantisierung." }
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]
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}</code></pre>
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</div>
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</div>
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`;
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}
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function mount() {
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render();
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}
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function onStatus(s) {
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if (s && s.swap_url) {
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if (currentUrl !== s.swap_url) {
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currentUrl = s.swap_url;
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render(); // Neu rendern, wenn sich die URL ändert
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}
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}
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}
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export default { id: "guides", mount, onStatus };
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