Initial Hermes Agent stack: Claude-Max proxy + gateway, docker-compose, README
This commit is contained in:
@@ -0,0 +1,145 @@
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/**
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* Hermes-Proxy cli-to-openai Adapter.
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*
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* 1:1 uebernommen aus dem ARIA-Proxy (/root/ARIA-AGENT/proxy-patches/cli-to-openai.js) —
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* dieser Teil ist generisch, kein ARIA-spezifischer Code drin. Erweitert die
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* npm-Version von claude-max-api-proxy um:
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* - normalizeModelName ist null-safe (Original-Patch der vorher per sed lief).
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* - Parser fuer <tool_call name="X">{json}</tool_call>-Bloecke im Result-Text:
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* Wenn welche gefunden werden, wandert das in `message.tool_calls`
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* (OpenAI-Format) und finish_reason=tool_calls. Der restliche Text
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* (alles ausserhalb der Bloecke) wird verworfen, weil das interner
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* Tool-Use-Schritt war, nicht User-facing.
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*
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* Wird zur Container-Startzeit ueber die npm-Version geschrieben
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* (siehe docker-compose.yml hermes-proxy-Block).
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*/
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import { randomUUID } from "crypto";
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export function extractTextContent(message) {
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return message.message.content
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.filter((c) => c.type === "text")
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.map((c) => c.text)
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.join("");
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}
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export function cliToOpenaiChunk(message, requestId, isFirst = false) {
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const text = extractTextContent(message);
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return {
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id: `chatcmpl-${requestId}`,
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object: "chat.completion.chunk",
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created: Math.floor(Date.now() / 1000),
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model: normalizeModelName(message.message.model),
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choices: [
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{
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index: 0,
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delta: {
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role: isFirst ? "assistant" : undefined,
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content: text,
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},
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finish_reason: message.message.stop_reason ? "stop" : null,
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},
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],
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};
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}
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export function createDoneChunk(requestId, model) {
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return {
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id: `chatcmpl-${requestId}`,
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object: "chat.completion.chunk",
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created: Math.floor(Date.now() / 1000),
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model: normalizeModelName(model),
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choices: [
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{
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index: 0,
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delta: {},
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finish_reason: "stop",
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},
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],
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};
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}
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/**
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* Sucht im Result-Text alle <tool_call name="...">{json}</tool_call>
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* Bloecke. Gibt [{id, name, arguments(json-string)}, restText] zurueck.
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*
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* Defensiv:
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* - "name"-Attribut sowohl in Doppel- als auch Einzelhochkommata
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* - Whitespace beim JSON tolerant
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* - Bei JSON-Parse-Fehler: das Argument wird als _raw weitergereicht
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* (Empfaenger-seitiger Parser kennt das)
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*/
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function _parseToolCalls(text) {
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if (!text || typeof text !== "string") return { tool_calls: [], rest: text || "" };
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const re = /<tool_call\s+name=["']([^"']+)["']\s*>([\s\S]*?)<\/tool_call>/gi;
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const tcs = [];
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let lastIndex = 0;
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const restParts = [];
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let m;
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while ((m = re.exec(text)) !== null) {
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restParts.push(text.slice(lastIndex, m.index));
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const name = m[1];
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let argsBody = (m[2] || "").trim();
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// Fences entfernen falls Claude welche eingebaut hat
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argsBody = argsBody.replace(/^```(?:json)?\s*/i, "").replace(/```\s*$/, "").trim();
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if (!argsBody) argsBody = "{}";
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// Validieren — aber in OpenAI-Format ist arguments immer ein STRING
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try {
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JSON.parse(argsBody);
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} catch (_) {
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// Behalten als Roh-String
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}
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tcs.push({
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id: `call_${randomUUID().replace(/-/g, "").slice(0, 24)}`,
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type: "function",
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function: { name, arguments: argsBody },
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});
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lastIndex = re.lastIndex;
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}
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restParts.push(text.slice(lastIndex));
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return { tool_calls: tcs, rest: restParts.join("").trim() };
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}
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export function cliResultToOpenai(result, requestId) {
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const modelName = result.modelUsage
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? Object.keys(result.modelUsage)[0]
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: "claude-sonnet-4";
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const rawText = result.result || "";
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const { tool_calls, rest } = _parseToolCalls(rawText);
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const message = { role: "assistant" };
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let finishReason = "stop";
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if (tool_calls.length > 0) {
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message.tool_calls = tool_calls;
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message.content = rest || null;
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finishReason = "tool_calls";
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} else {
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message.content = rawText;
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}
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return {
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id: `chatcmpl-${requestId}`,
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object: "chat.completion",
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created: Math.floor(Date.now() / 1000),
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model: normalizeModelName(modelName),
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choices: [
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{ index: 0, message, finish_reason: finishReason },
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],
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usage: {
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prompt_tokens: result.usage?.input_tokens || 0,
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completion_tokens: result.usage?.output_tokens || 0,
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total_tokens:
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(result.usage?.input_tokens || 0) + (result.usage?.output_tokens || 0),
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},
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};
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}
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function normalizeModelName(model) {
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const m = model || "claude-sonnet-4";
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if (m.includes("opus")) return "claude-opus-4";
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if (m.includes("sonnet")) return "claude-sonnet-4";
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if (m.includes("haiku")) return "claude-haiku-4";
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return m;
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}
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@@ -0,0 +1,92 @@
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/**
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* hermes-gateway — minimaler Bearer-Token Reverse-Proxy vor hermes-proxy.
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*
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* WARUM: hermes-proxy selbst hat KEINE Authentifizierung — genau wie ARIAs
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* Proxy (siehe /root/ARIA-AGENT/docker-compose.yml, Service "proxy"). Bei
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* ARIA ist das ok, weil der Proxy NIE einen Netzwerk-Port bekommt, nur
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* Docker-intern von aria-brain erreichbar ist.
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*
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* Hermes Agent laeuft aber auf einer ANDEREN Maschine (Stefans Wunsch) und
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* muss den Proxy ueber Netzwerk erreichen -> der Port muss also offen sein.
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* Ohne Auth koennte dann JEDER der den Port erreicht (falsches Netz-Segment,
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* offenes WLAN, Portscan) Stefans Claude-Max-Subscription fremdnutzen —
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* die eigentliche "Auth" ist ja nur die eingeloggte Claude-CLI-Session im
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* Volume, kein Provider-seitiger API-Key-Check.
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*
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* Dieses Gateway sitzt davor: prueft den Authorization-Header gegen ein
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* Shared Secret (ENV TOKEN), leitet nur bei Match an hermes-proxy weiter.
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* Alles andere -> 401, kein Request geht durch.
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*
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* Praktischer Nebeneffekt: OpenAI-kompatible Clients (Hermes Agent
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* eingeschlossen) schicken ihren konfigurierten `api_key` sowieso schon als
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* "Authorization: Bearer <api_key>"-Header. In Hermes' config.yaml also
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* einfach `api_key: "<TOKEN>"` (= derselbe Wert wie hier in TOKEN) setzen —
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* kein Extra-Code auf Hermes-Seite noetig.
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*/
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const http = require("http");
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const crypto = require("crypto");
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const TOKEN = process.env.TOKEN;
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const UPSTREAM_HOST = process.env.UPSTREAM_HOST || "hermes-proxy";
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const UPSTREAM_PORT = parseInt(process.env.UPSTREAM_PORT || "3456", 10);
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const LISTEN_PORT = parseInt(process.env.LISTEN_PORT || "8080", 10);
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if (!TOKEN || TOKEN.length < 16) {
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console.error(
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"FATAL: TOKEN env fehlt oder ist zu kurz (< 16 Zeichen). " +
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"Ohne ordentliches Shared Secret startet das Gateway bewusst nicht " +
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"— sonst haengt hier ein offener Claude-Proxy im Netz."
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);
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process.exit(1);
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}
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function safeEqual(a, b) {
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const ab = Buffer.from(a, "utf8");
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const bb = Buffer.from(b, "utf8");
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if (ab.length !== bb.length) return false;
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return crypto.timingSafeEqual(ab, bb);
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}
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function unauthorized(res) {
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res.writeHead(401, { "Content-Type": "application/json" });
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res.end(JSON.stringify({ error: { message: "unauthorized", type: "invalid_api_key" } }));
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}
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const server = http.createServer((req, res) => {
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const auth = req.headers["authorization"] || "";
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const expected = `Bearer ${TOKEN}`;
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if (!safeEqual(auth, expected)) {
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console.log(`[hermes-gateway] 401 ${req.method} ${req.url} von ${req.socket.remoteAddress}`);
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return unauthorized(res);
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}
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const proxyReq = http.request(
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{
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hostname: UPSTREAM_HOST,
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port: UPSTREAM_PORT,
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path: req.url,
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method: req.method,
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headers: req.headers,
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},
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(proxyRes) => {
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res.writeHead(proxyRes.statusCode, proxyRes.headers);
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proxyRes.pipe(res);
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}
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);
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proxyReq.on("error", (err) => {
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console.error(`[hermes-gateway] upstream error: ${err.message}`);
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if (!res.headersSent) {
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res.writeHead(502, { "Content-Type": "application/json" });
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}
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res.end(JSON.stringify({ error: { message: "bad_gateway", detail: String(err.message) } }));
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});
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req.pipe(proxyReq);
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});
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server.listen(LISTEN_PORT, "0.0.0.0", () => {
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console.log(`[hermes-gateway] listening on 0.0.0.0:${LISTEN_PORT} -> http://${UPSTREAM_HOST}:${UPSTREAM_PORT}`);
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});
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@@ -0,0 +1,225 @@
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/**
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* Hermes-Proxy openai-to-cli Adapter.
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*
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* 1:1 uebernommen aus dem ARIA-Proxy (/root/ARIA-AGENT/proxy-patches/openai-to-cli.js) —
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* generisch, kein ARIA-spezifischer Code drin. Erweitert die npm-Version von
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* claude-max-api-proxy um:
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* - Multimodal-Content (Array von text-Parts) wird zu String reduziert.
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* - Wenn die Anfrage ein `tools`-Feld enthaelt: die Tool-Definitionen
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* werden in den System-Prompt als Anweisung injiziert, das
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* <tool_call name="...">{...}</tool_call> Format zu benutzen statt
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* freiem Text.
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* - Wenn Messages role=tool enthalten: deren Inhalt wird als
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* <tool_result tool_call_id="...">…</tool_result> ins Prompt-Fragment
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* eingewoben damit Claude den Loop-Step bekommt.
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*
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* Wird zur Container-Startzeit ueber die npm-Version geschrieben
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* (siehe docker-compose.yml hermes-proxy-Block).
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*/
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const MODEL_MAP = {
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"claude-opus-4": "opus",
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"claude-sonnet-4": "sonnet",
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"claude-haiku-4": "haiku",
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"claude-code-cli/claude-opus-4": "opus",
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"claude-code-cli/claude-sonnet-4": "sonnet",
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"claude-code-cli/claude-haiku-4": "haiku",
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"opus": "opus",
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"sonnet": "sonnet",
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"haiku": "haiku",
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};
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export function extractModel(model) {
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if (MODEL_MAP[model]) return MODEL_MAP[model];
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const stripped = (model || "").replace(/^claude-code-cli\//, "");
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if (MODEL_MAP[stripped]) return MODEL_MAP[stripped];
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return "opus";
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}
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/** Multimodal: content kann String oder Array von Parts sein. */
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function _text(c) {
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if (typeof c === "string") return c;
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if (Array.isArray(c)) {
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return c
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.filter((b) => b && b.type === "text")
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.map((b) => b.text || "")
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.join("");
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}
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return String(c == null ? "" : c);
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}
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/**
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* Baut den Tool-Use-Block fuer den System-Prompt.
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* Anweisung: Claude soll <tool_call name="X">{json args}</tool_call>
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* ausgeben statt das Tool intern via Bash zu simulieren.
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*/
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function _toolsBlock(tools) {
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if (!Array.isArray(tools) || tools.length === 0) return "";
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const lines = [];
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lines.push("# Verfuegbare Tools");
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lines.push("");
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lines.push(
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"Du hast neben deinen eigenen internen Tools (Bash, Read, etc.) auch " +
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"diese externen Tools, die im Backend-System angesiedelt sind. " +
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"Sie sind die EINZIGE Moeglichkeit diese Aktionen auszuloesen. " +
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"Simuliere sie NICHT mit Bash/sleep — rufe sie sauber auf:"
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);
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lines.push("");
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for (const t of tools) {
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if (!t || t.type !== "function" || !t.function) continue;
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const fn = t.function;
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const name = fn.name || "";
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const desc = fn.description || "";
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const params = fn.parameters || {};
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lines.push(`## ${name}`);
|
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if (desc) lines.push(desc);
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try {
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lines.push("Schema: " + JSON.stringify(params));
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} catch (_) {
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lines.push("Schema: (nicht serialisierbar)");
|
||||
}
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lines.push("");
|
||||
}
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lines.push("# Tool-Call-Format");
|
||||
lines.push("");
|
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lines.push(
|
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"Wenn du eines der OBIGEN externen Tools aufrufen willst, antworte " +
|
||||
"**ausschliesslich** mit einem oder mehreren Bloecken in genau dieser Form, " +
|
||||
"JEDER fuer sich auf einer eigenen Zeile:"
|
||||
);
|
||||
lines.push("");
|
||||
lines.push('<tool_call name="TOOL_NAME">{"arg1":"value","arg2":123}</tool_call>');
|
||||
lines.push("");
|
||||
lines.push(
|
||||
"Regeln: (1) Innerhalb des Blocks steht NUR gueltiges JSON mit den Argumenten. " +
|
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"(2) Kein Text drumherum. (3) Keine Code-Fences, kein Markdown. " +
|
||||
"(4) Mehrere Tool-Calls = mehrere Bloecke untereinander. " +
|
||||
"(5) Nach den Bloecken aufhoeren — der Server fuehrt die Tools aus und " +
|
||||
"schickt dir die Ergebnisse fuer den naechsten Turn. " +
|
||||
"(6) Wenn KEIN externes Tool noetig ist, antworte normal als Text."
|
||||
);
|
||||
return lines.join("\n");
|
||||
}
|
||||
|
||||
export function messagesToPrompt(messages, tools) {
|
||||
const parts = [];
|
||||
const toolsBlock = _toolsBlock(tools);
|
||||
if (toolsBlock) {
|
||||
parts.push(`<system>\n${toolsBlock}\n</system>\n`);
|
||||
}
|
||||
for (const msg of messages) {
|
||||
if (!msg) continue;
|
||||
switch (msg.role) {
|
||||
case "system":
|
||||
parts.push(`<system>\n${_text(msg.content)}\n</system>\n`);
|
||||
break;
|
||||
case "user":
|
||||
parts.push(_text(msg.content));
|
||||
break;
|
||||
case "assistant": {
|
||||
const txt = _text(msg.content);
|
||||
const tcs = Array.isArray(msg.tool_calls) ? msg.tool_calls : [];
|
||||
const tcParts = tcs.map((tc) => {
|
||||
const name = tc?.function?.name || tc?.name || "";
|
||||
let args = tc?.function?.arguments ?? tc?.arguments ?? "{}";
|
||||
if (typeof args !== "string") {
|
||||
try { args = JSON.stringify(args); } catch (_) { args = "{}"; }
|
||||
}
|
||||
return `<tool_call name="${name}">${args}</tool_call>`;
|
||||
}).join("\n");
|
||||
const combined = [txt, tcParts].filter(Boolean).join("\n").trim();
|
||||
if (combined) parts.push(`<previous_response>\n${combined}\n</previous_response>\n`);
|
||||
break;
|
||||
}
|
||||
case "tool": {
|
||||
const name = msg.name || "";
|
||||
const id = msg.tool_call_id || "";
|
||||
parts.push(
|
||||
`<tool_result tool_call_id="${id}" name="${name}">\n${_text(msg.content)}\n</tool_result>\n`
|
||||
);
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
return parts.join("\n").trim();
|
||||
}
|
||||
|
||||
/**
|
||||
* Extrahiert NUR den System-Anteil (System-Messages + Tool-Use-Block) als
|
||||
* rohen Text — OHNE <system>-Tags. Fuer den ECHTEN System-Prompt-Kanal der
|
||||
* Claude-CLI (--system-prompt, VOLLER Replace — nicht --append). Damit ist
|
||||
* die Ziel-Persona/Rolle DIE Identitaet des Modells und nicht ein Anhaengsel
|
||||
* hinter Claude Codes eigener "You are Claude Code"-Identitaet (die bei
|
||||
* duennem Kontext sonst gewinnt). Der Output muss deshalb SELBSTTRAGEND sein.
|
||||
* Reihenfolge: erst der Tool-Use-Block (Format-Anweisung), dann die
|
||||
* System-Messages in Original-Reihenfolge.
|
||||
*/
|
||||
export function extractSystemPrompt(messages, tools) {
|
||||
const chunks = [];
|
||||
const toolsBlock = _toolsBlock(tools);
|
||||
if (toolsBlock) chunks.push(toolsBlock);
|
||||
for (const msg of messages || []) {
|
||||
if (msg && msg.role === "system") {
|
||||
const t = _text(msg.content).trim();
|
||||
if (t) chunks.push(t);
|
||||
}
|
||||
}
|
||||
return chunks.join("\n\n").trim();
|
||||
}
|
||||
|
||||
/**
|
||||
* Wie messagesToPrompt, aber OHNE System-Messages und OHNE Tool-Block — nur der
|
||||
* eigentliche Verlauf (user/assistant/tool). Fuer den Modus, in dem der
|
||||
* System-Prompt ueber --system-prompt separat zugestellt wird.
|
||||
*/
|
||||
export function conversationToPrompt(messages) {
|
||||
const parts = [];
|
||||
for (const msg of messages || []) {
|
||||
if (!msg) continue;
|
||||
switch (msg.role) {
|
||||
case "system":
|
||||
break; // geht ueber --system-prompt
|
||||
case "user":
|
||||
parts.push(_text(msg.content));
|
||||
break;
|
||||
case "assistant": {
|
||||
const txt = _text(msg.content);
|
||||
const tcs = Array.isArray(msg.tool_calls) ? msg.tool_calls : [];
|
||||
const tcParts = tcs.map((tc) => {
|
||||
const name = tc?.function?.name || tc?.name || "";
|
||||
let args = tc?.function?.arguments ?? tc?.arguments ?? "{}";
|
||||
if (typeof args !== "string") {
|
||||
try { args = JSON.stringify(args); } catch (_) { args = "{}"; }
|
||||
}
|
||||
return `<tool_call name="${name}">${args}</tool_call>`;
|
||||
}).join("\n");
|
||||
const combined = [txt, tcParts].filter(Boolean).join("\n").trim();
|
||||
if (combined) parts.push(`<previous_response>\n${combined}\n</previous_response>\n`);
|
||||
break;
|
||||
}
|
||||
case "tool": {
|
||||
const name = msg.name || "";
|
||||
const id = msg.tool_call_id || "";
|
||||
parts.push(
|
||||
`<tool_result tool_call_id="${id}" name="${name}">\n${_text(msg.content)}\n</tool_result>\n`
|
||||
);
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
return parts.join("\n").trim();
|
||||
}
|
||||
|
||||
export function openaiToCli(request) {
|
||||
// Persona/System + Tool-Block gehen ueber den ECHTEN System-Prompt-Kanal
|
||||
// (--system-prompt = VOLLER Replace, siehe manager.js sed-Patch in
|
||||
// docker-compose.yml). Der Prompt enthaelt nur noch den Gespraechsverlauf.
|
||||
// systemPrompt ist immer ein String (nie undefined) — bei --system-prompt
|
||||
// darf er nicht leer sein, sonst laeuft das Modell ohne System-Prompt.
|
||||
return {
|
||||
prompt: conversationToPrompt(request.messages),
|
||||
systemPrompt: extractSystemPrompt(request.messages, request.tools),
|
||||
model: extractModel(request.model),
|
||||
sessionId: request.user,
|
||||
};
|
||||
}
|
||||
Reference in New Issue
Block a user