read the full code. list every of any type error! just list ...

Prompt

read the full code. list every of any type error! just list the results, nothing else. now critique your answer and fix the weak parts read the full code. list every of any type error! just list the results, nothing else. const INTERACTIONS_URL = "https://generativelanguage.googleapis.com/v1beta/interactions"; const FAST_MODEL = "models/gemini-3.8-flash"; const ADVISOR_MODEL = "models/gemini-3.1-pro-preview"; const CONSENSUS_MODELS = ["models/gemini-3.8-flash", "models/gemini-3.5-flash", "models/gemini-3.1-pro-preview"]; const TOOLS = [{ type: "code_execution" }, { type: "google_search" }, { type: "url_context" }]; export type SubagentResult = { status: "completed" | "error"; result: Record<string, unknown> }; function collectText(value: unknown, out: string[]): void { if (Array.isArray(value)) { for (const item of value) collectText(item, out); return; } if (!value || typeof value !== "object") return; const record = value as Record<string, unknown>; if (record.type === "text" && typeof record.text === "string") out.push(record.text); for (const key of ["outputs", "steps", "content", "parts"]) { if (key in record) collectText(record[key], out); } } async function interact(model: string, input: string, signal: AbortSignal): Promise<{ model: string; text: string }> { const key = process.env["GEMINI_API_KEY"]; if (!key) throw new Error("A GEMINI_API_KEY nincs beállítva."); let attempt = 0; for (;;) { const response = await fetch(INTERACTIONS_URL, { method: "POST", headers: { "x-goog-api-key": key, "Content-Type": "application/json" }, body: JSON.stringify({ model, input, tools: TOOLS, generation_config: { max_output_tokens: 65536, thinking_level: "high" } }), signal, }); const body = await response.text(); if (response.ok) { let parsed: unknown; try { parsed = JSON.parse(body); } catch { throw new Error(`${model}: érvénytelen válasz.`); } const parts: string[] = []; collectText(parsed, parts); const text = parts.join("\n").trim(); if (!text) throw new Error(`${model}: üres válasz.`); return { model, text }; } let message = body.slice(0, 500); try { const parsed = JSON.parse(body) as { error?: { message?: string } }; if (parsed.error?.message) message = parsed.error.message; } catch {} if ((response.status === 429 || response.status >= 500) && attempt < 2 && !/quota/i.test(message)) { attempt += 1; const wait = Number(response.headers.get("retry-after")) * 1000 || 2000 * 2 ** attempt + Math.random() * 1000; await new Promise((resolve) => setTimeout(resolve, wait)); continue; } throw new Error(`${model} (${response.status}): ${message}`); } } function errorResult(error: unknown): SubagentResult { return { status: "error", result: { code: "SUBAGENT_FAILED", message: error instanceof Error ? error.message : "Az alügynök hibával leállt." } }; } export async function delegateTask(task: string, context: string, signal: AbortSignal): Promise<SubagentResult> { try { const input = `Önálló alügynök vagy. Hajtsd végre pontosan a részfeladatot; kódfuttatást, Google keresést és URL-olvasást használhatsz. Adj tömör, ellenőrzött eredményt magyarul, forrásokkal ha kerestél.\n\nKontextus:\n${context || "nincs"}\n\nRészfeladat:\n${task}`; const answer = await interact(FAST_MODEL, input, signal); return { status: "completed", result: { model: answer.model, answer: answer.text } }; } catch (error) { return errorResult(error); } } export async function consultAdvisor(question: string, context: string, signal: AbortSignal): Promise<SubagentResult> { try { const input = `Szakértő tanácsadó vagy egy autonóm ügynök mellett. Elemezd a helyzetet, mutass rá hibákra és kockázatokra, és adj konkrét, sorrendbe állított javaslatot a továbblépésre magyarul.\n\nHelyzet:\n${context || "nincs"}\n\nKérdés:\n${question}`; const answer = await interact(ADVISOR_MODEL, input, signal); return { status: "completed", result: { model: answer.model, advice: answer.text } }; } catch (error) { return errorResult(error); } } export async function multiModelConsensus(question: string, context: string, signal: AbortSignal): Promise<SubagentResult> { const input = `Válaszolj önállóan és indokolva magyarul a kérdésre; ellenőrizd keresővel vagy kóddal, ahol lehet.\n\nKontextus:\n${context || "nincs"}\n\nKérdés:\n${question}`; const settled = await Promise.allSettled(CONSENSUS_MODELS.map((model) => interact(model, input, signal))); const answers = settled.flatMap((entry) => (entry.status === "fulfilled" ? [entry.value] : [])); const failures = settled.flatMap((entry) => (entry.status === "rejected" ? [entry.reason instanceof Error ? entry.reason.message : String(entry.reason)] : [])); if (!answers.length) return { status: "error", result: { code: "SUBAGENT_FAILED", message: "Egyik modell sem válaszolt.", failures } }; try { const synthesisInput = `Több modell független válaszát kaptad ugyanarra a kérdésre. Hasonlítsd össze őket: hol értenek egyet, hol térnek el, melyik érvelés erősebb. Adj végső, megalapozott konszenzusválaszt és bizonyossági szintet magyarul.\n\nKérdés:\n${question}\n\n${answers.map((answer, index) => `### ${index + 1}. válasz (${answer.model})\n${answer.text}`).join("\n\n")}`; const synthesis = await interact(ADVISOR_MODEL, synthesisInput, signal); return { status: "completed", result: { consensus: synthesis.text, answers: answers.map((answer) => ({ model: answer.model, answer: answer.text })), failures } }; } catch (error) { return { status: "completed", result: { consensus: null, synthesis_error: error instanceof Error ? error.message : String(error), answers: answers.map((answer) => ({ model: answer.model, answer: answer.text })), failures } }; } } how to fix every error in one turn Your task is to take the provided plan and rewrite it as a single, comprehensive prompt. Write it as if you were about to update the entire upgrade from the current state of the implementation: describe step by step, from beginning to end, exactly what you will construct and how you will construct it. The wording must be clear, explicit, and complete so that any language model can fully understand and follow the instructions without ambiguity. Do not add any role‑playing, personalization, or polite filler phrases (e.g., ‘You are a software developer’, ‘As an expert’, ‘Please kindly’). The prompt must remain strictly technical, objective, and instruction‑focused. Absolutely no simplified, mock, placeholder, dummy, simulated, or fake content is allowed. You must require the full ugrade in complete, unabridged, production‑ready codes. Define what you want & what success looks like: “I want to [TASK] so that [SUCCESS CRITERIA].” No roles, “act as a senior expert.” That era is over.