diff --git a/app/src/app/tools/[toolId]/page.tsx b/app/src/app/tools/[toolId]/page.tsx
index 154a99e..0a94c61 100644
--- a/app/src/app/tools/[toolId]/page.tsx
+++ b/app/src/app/tools/[toolId]/page.tsx
@@ -2,6 +2,7 @@
 
 import { Button, Label, Textarea } from "@ansospace/ui";
 import { ArrowUpRight, Crown, Lock, Play, X } from "lucide-react";
+import Image from "next/image";
 import { notFound, useParams } from "next/navigation";
 import { useCallback, useEffect, useState } from "react";
 import { CodeEditor } from "@/components/code-editor";
@@ -135,6 +136,7 @@ function ToolPageContent({ toolId }: { toolId: string }) {
 								<p className="text-xs text-muted-foreground">
 									Upgrade your plan for more daily executions.{" "}
 									<button
+										type="button"
 										onClick={redirectToUpgrade}
 										className="text-primary hover:underline underline-offset-2"
 									>
@@ -191,6 +193,7 @@ function ToolPageContent({ toolId }: { toolId: string }) {
 								⚡ {toolUsage.remaining} use{toolUsage.remaining === 1 ? "" : "s"} remaining for
 								this tool today.{" "}
 								<button
+									type="button"
 									onClick={redirectToUpgrade}
 									className="underline underline-offset-2 hover:text-amber-400"
 								>
@@ -213,6 +216,7 @@ function ToolPageContent({ toolId }: { toolId: string }) {
 					<div className="relative mx-4 w-full max-w-md rounded-2xl border border-border/50 bg-card p-6 shadow-2xl animate-in zoom-in-95 duration-200">
 						{/* Close button */}
 						<button
+							type="button"
 							onClick={() => setShowUpgradeDialog(false)}
 							className="absolute right-4 top-4 rounded-full p-1 text-muted-foreground hover:bg-muted hover:text-foreground transition-colors"
 						>
@@ -227,7 +231,7 @@ function ToolPageContent({ toolId }: { toolId: string }) {
 						{/* Title */}
 						<h3 className="text-center text-lg font-semibold">Daily Limit Reached</h3>
 						<p className="mt-1 text-center text-sm text-muted-foreground">
-							You&apos;ve used all <strong>{toolUsage.limit}</strong> executions for{" "}
+							You've used all <strong>{toolUsage.limit}</strong> executions for{" "}
 							<strong>{tool.name}</strong> today on the{" "}
 							<span className="font-medium text-foreground">
 								{getPlanDisplayName(toolUsage.plan)}
@@ -305,40 +309,57 @@ function InputField({
 	switch (config.type) {
 		case "code":
 			return (
-				<div className="space-y-2">
-					<Label>{config.label}</Label>
-					<CodeEditor
-						value={value}
-						onChange={onChange}
-						placeholder={config.placeholder}
-						rows={config.rows || 8}
-					/>
+				<div className="space-y-3 rounded-xl border border-border/50 bg-card p-4 shadow-sm">
+					<div>
+						<Label className="text-base font-semibold">{config.label}</Label>
+						{config.helperText && (
+							<p className="text-sm text-muted-foreground mt-1">{config.helperText}</p>
+						)}
+					</div>
+					<div className="overflow-hidden rounded-lg border border-input/50 focus-within:ring-2 focus-within:ring-ring focus-within:ring-offset-2">
+						<CodeEditor
+							value={value}
+							onChange={onChange}
+							placeholder={config.placeholder}
+							rows={config.rows || 8}
+						/>
+					</div>
 				</div>
 			);
 
 		case "textarea":
 			return (
-				<div className="space-y-2">
-					<Label>{config.label}</Label>
+				<div className="space-y-3">
+					<div>
+						<Label className="text-base font-semibold">{config.label}</Label>
+						{config.helperText && (
+							<p className="text-sm text-muted-foreground mt-1">{config.helperText}</p>
+						)}
+					</div>
 					<Textarea
 						value={value}
 						onChange={(e) => onChange(e.target.value)}
 						placeholder={config.placeholder}
 						rows={config.rows || 4}
-						className="resize-none"
+						className="resize-none rounded-xl border-input/60 shadow-sm focus-visible:ring-primary/20"
 					/>
 				</div>
 			);
 
 		case "select":
 			return (
-				<div className="space-y-2">
-					<Label>{config.label}</Label>
-					<div className="max-w-xs">
+				<div className="space-y-3">
+					<div>
+						<Label className="text-base font-semibold">{config.label}</Label>
+						{config.helperText && (
+							<p className="text-sm text-muted-foreground mt-1">{config.helperText}</p>
+						)}
+					</div>
+					<div className="relative max-w-sm">
 						<select
 							value={value}
 							onChange={(e) => onChange(e.target.value)}
-							className="flex h-10 w-full rounded-md border border-input bg-background px-3 py-2 text-sm ring-offset-background focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring"
+							className="flex h-11 w-full appearance-none rounded-xl border border-input/60 bg-background pl-4 pr-10 text-sm shadow-sm transition-colors hover:border-input focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-primary/20 focus-visible:border-primary disabled:cursor-not-allowed disabled:opacity-50"
 						>
 							{config.options?.map((opt) => (
 								<option key={opt.value} value={opt.value}>
@@ -346,29 +367,55 @@ function InputField({
 								</option>
 							))}
 						</select>
+						<div className="pointer-events-none absolute inset-y-0 right-0 flex items-center pr-3">
+							<svg
+								className="h-4 w-4 text-muted-foreground"
+								fill="none"
+								stroke="currentColor"
+								viewBox="0 0 24 24"
+								aria-label="Dropdown chevron"
+							>
+								<path
+									strokeLinecap="round"
+									strokeLinejoin="round"
+									strokeWidth={2}
+									d="M19 9l-7 7-7-7"
+								/>
+							</svg>
+						</div>
 					</div>
 				</div>
 			);
 
 		case "text":
 			return (
-				<div className="space-y-2">
-					<Label>{config.label}</Label>
+				<div className="space-y-3">
+					<div>
+						<Label className="text-base font-semibold">{config.label}</Label>
+						{config.helperText && (
+							<p className="text-sm text-muted-foreground mt-1">{config.helperText}</p>
+						)}
+					</div>
 					<input
 						type="text"
 						value={value}
 						onChange={(e) => onChange(e.target.value)}
 						placeholder={config.placeholder}
-						className="flex h-10 w-full rounded-md border border-input bg-background px-3 py-2 text-sm ring-offset-background focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring"
+						className="flex h-11 w-full rounded-xl border border-input/60 bg-background px-4 py-2 text-sm shadow-sm transition-colors hover:border-input focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-primary/20 focus-visible:border-primary"
 					/>
 				</div>
 			);
 
 		case "image":
 			return (
-				<div className="space-y-2">
-					<Label>{config.label}</Label>
-					<div className="flex items-center gap-4 p-1">
+				<div className="space-y-3">
+					<div>
+						<Label className="text-base font-semibold">{config.label}</Label>
+						{config.helperText && (
+							<p className="text-sm text-muted-foreground mt-1">{config.helperText}</p>
+						)}
+					</div>
+					<div className="flex items-center gap-4 p-4 rounded-xl border border-dashed border-input/60 bg-muted/10 hover:bg-muted/30 transition-colors">
 						<input
 							type="file"
 							accept="image/*"
@@ -381,11 +428,16 @@ function InputField({
 								};
 								reader.readAsDataURL(file);
 							}}
-							className="flex h-10 w-full max-w-sm rounded-md border border-input bg-background px-3 py-2 text-sm ring-offset-background file:border-0 file:bg-transparent file:text-sm file:font-medium hover:file:cursor-pointer hover:file:text-primary focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring"
+							className="flex h-10 w-full max-w-sm rounded-md border-0 bg-transparent px-0 py-2 text-sm text-muted-foreground file:mr-4 file:rounded-full file:border-0 file:bg-primary/10 file:px-4 file:py-2 file:text-sm file:font-semibold file:text-primary hover:file:bg-primary/20 hover:cursor-pointer focus-visible:outline-none"
 						/>
 						{value && (
-							<div className="relative h-10 w-10 shrink-0 overflow-hidden rounded-md border">
-								<img src={value} alt="Preview" className="h-full w-full object-cover" />
+							<div className="relative h-16 w-16 shrink-0 overflow-hidden rounded-lg border border-border shadow-sm">
+								<Image
+									src={value}
+									alt="Preview"
+									fill
+									className="object-cover hover:scale-110 transition-transform"
+								/>
 							</div>
 						)}
 					</div>
@@ -394,138 +446,160 @@ function InputField({
 
 		case "files":
 			return (
-				<div className="space-y-2">
-					<Label>{config.label}</Label>
-					<div className="space-y-3">
-						<input
-							type="file"
-							accept={
-								config.accept ||
-								".py,.js,.ts,.go,.java,.c,.cpp,.rb,.php,.rs,.zip,.txt,.json,.yml,.yaml,.toml,.cfg,.ini,.env"
-							}
-							multiple
-							onChange={async (e) => {
-								const files = e.target.files;
-								if (!files || files.length === 0) return;
-
-								const maxFiles = config.maxFiles || 50;
-								const maxSizeMb = config.maxSizeMb || 10;
-								const maxSizeBytes = maxSizeMb * 1024 * 1024;
-
-								// Check file count
-								if (files.length > maxFiles) {
-									alert(`Maximum ${maxFiles} files allowed. You selected ${files.length}.`);
-									return;
-								}
-
-								// Check total size
-								let totalSize = 0;
-								for (const f of Array.from(files)) totalSize += f.size;
-								if (totalSize > maxSizeBytes) {
-									alert(`Total upload size exceeds ${maxSizeMb}MB limit.`);
-									return;
+				<div className="space-y-3">
+					<div>
+						<Label className="text-base font-semibold">{config.label}</Label>
+						{config.helperText && (
+							<p className="text-sm text-muted-foreground mt-1">{config.helperText}</p>
+						)}
+					</div>
+					<div className="space-y-4 rounded-xl border border-dashed border-border/60 bg-muted/5 p-6 hover:bg-muted/20 transition-colors">
+						<div className="flex flex-col sm:flex-row items-start sm:items-center gap-4">
+							<input
+								type="file"
+								accept={
+									config.accept ||
+									".py,.js,.ts,.go,.java,.c,.cpp,.rb,.php,.rs,.zip,.txt,.json,.yml,.yaml,.toml,.cfg,.ini,.env"
 								}
+								multiple
+								onChange={async (e) => {
+									const files = e.target.files;
+									if (!files || files.length === 0) return;
+
+									const maxFiles = config.maxFiles || 50;
+									const maxSizeMb = config.maxSizeMb || 10;
+									const maxSizeBytes = maxSizeMb * 1024 * 1024;
+
+									// Check file count
+									if (files.length > maxFiles) {
+										alert(`Maximum ${maxFiles} files allowed. You selected ${files.length}.`);
+										return;
+									}
 
-								// Handle ZIP files
-								if (files.length === 1 && files[0].name.endsWith(".zip")) {
-									const reader = new FileReader();
-									reader.onloadend = () => {
-										// Send as base64 with a zip: prefix so backend knows
-										const base64 = (reader.result as string).split(",")[1];
-										onChange(`__ZIP__:${base64}`);
-									};
-									reader.readAsDataURL(files[0]);
-									return;
-								}
+									// Check total size
+									let totalSize = 0;
+									for (const f of Array.from(files)) totalSize += f.size;
+									if (totalSize > maxSizeBytes) {
+										alert(`Total upload size exceeds ${maxSizeMb}MB limit.`);
+										return;
+									}
 
-								// Read all files as text and concatenate with markers
-								const parts: string[] = [];
-								for (const file of Array.from(files)) {
-									try {
-										const text = await file.text();
-										const rawPath = file.webkitRelativePath || file.name;
-										const cleanPath = rawPath.includes("/")
-											? rawPath.split("/").slice(1).join("/") || rawPath
-											: rawPath;
-										parts.push(`--- FILE: ${cleanPath} ---\n${text}`);
-									} catch {
-										const rp = file.webkitRelativePath || file.name;
-										const cp = rp.includes("/") ? rp.split("/").slice(1).join("/") || rp : rp;
-										parts.push(`--- FILE: ${cp} ---\n[Binary file — skipped]`);
+									// Handle ZIP files
+									if (files.length === 1 && files[0].name.endsWith(".zip")) {
+										const reader = new FileReader();
+										reader.onloadend = () => {
+											// Send as base64 with a zip: prefix so backend knows
+											const base64 = (reader.result as string).split(",")[1];
+											onChange(`__ZIP__:${base64}`);
+										};
+										reader.readAsDataURL(files[0]);
+										return;
 									}
-								}
-								onChange(parts.join("\n\n"));
-							}}
-							className="flex h-10 w-full max-w-md rounded-md border border-input bg-background px-3 py-2 text-sm ring-offset-background file:border-0 file:bg-transparent file:text-sm file:font-medium hover:file:cursor-pointer hover:file:text-primary focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring"
-						/>
-						{/* Folder picker for directory uploads */}
-						<div className="flex items-center gap-2">
-							<span className="text-xs text-muted-foreground">or</span>
-							<label className="cursor-pointer rounded-md border border-dashed border-input/60 bg-muted/20 px-3 py-1.5 text-xs text-muted-foreground hover:bg-muted/40 hover:text-foreground transition-colors">
-								📁 Select Folder
-								<input
-									type="file"
-									{...({
-										webkitdirectory: "",
-										directory: "",
-									} as React.InputHTMLAttributes<HTMLInputElement>)}
-									className="hidden"
-									onChange={async (e) => {
-										const files = e.target.files;
-										if (!files || files.length === 0) return;
-										const exts = new Set(
-											".py,.js,.ts,.go,.java,.c,.cpp,.rb,.php,.rs,.txt,.json,.yml,.yaml,.toml,.cfg,.ini,.env,.lock".split(
-												","
-											)
-										);
-										const valid = Array.from(files).filter((f) => {
-											const ext = "." + f.name.split(".").pop()?.toLowerCase();
-											const p = f.webkitRelativePath || f.name;
-											if (
-												p.includes("__pycache__") ||
-												p.includes("node_modules") ||
-												p.includes(".git/")
-											)
-												return false;
-											if (f.name.startsWith(".")) return false;
-											return exts.has(ext);
-										});
-										if (valid.length === 0) {
-											alert("No supported files found.");
-											return;
-										}
-										if (valid.length > 50) {
-											alert("Too many files (max 50).");
-											return;
+
+									// Read all files as text and concatenate with markers
+									const parts: string[] = [];
+									for (const file of Array.from(files)) {
+										try {
+											const text = await file.text();
+											const rawPath = file.webkitRelativePath || file.name;
+											const cleanPath = rawPath.includes("/")
+												? rawPath.split("/").slice(1).join("/") || rawPath
+												: rawPath;
+											parts.push(`--- FILE: ${cleanPath} ---\n${text}`);
+										} catch {
+											const rp = file.webkitRelativePath || file.name;
+											const cp = rp.includes("/") ? rp.split("/").slice(1).join("/") || rp : rp;
+											parts.push(`--- FILE: ${cp} ---\n[Binary file — skipped]`);
 										}
-										const parts: string[] = [];
-										for (const file of valid) {
-											try {
-												const text = await file.text();
-												const rp = file.webkitRelativePath || file.name;
-												const cp = rp.includes("/") ? rp.split("/").slice(1).join("/") || rp : rp;
-												parts.push(`--- FILE: ${cp} ---\n${text}`);
-											} catch {
-												/* skip binary */
+									}
+									onChange(parts.join("\n\n"));
+								}}
+								className="flex h-10 w-full max-w-sm rounded-md border-0 bg-transparent px-0 py-2 text-sm text-muted-foreground file:mr-4 file:rounded-full file:border-0 file:bg-primary/10 file:px-4 file:py-2 file:text-sm file:font-semibold file:text-primary hover:file:bg-primary/20 hover:cursor-pointer focus-visible:outline-none"
+							/>
+							{/* Folder picker for directory uploads */}
+							<div className="flex items-center gap-3">
+								<span className="text-sm text-muted-foreground/80 font-medium italic">or</span>
+								<label className="cursor-pointer rounded-full border border-dashed border-input/60 bg-background hover:bg-muted/40 px-5 py-2 text-sm font-medium text-foreground transition-colors shadow-sm">
+									📁 Select Folder
+									<input
+										type="file"
+										{...({
+											webkitdirectory: "",
+											directory: "",
+										} as React.InputHTMLAttributes<HTMLInputElement>)}
+										className="hidden"
+										onChange={async (e) => {
+											const files = e.target.files;
+											if (!files || files.length === 0) return;
+											const exts = new Set(
+												".py,.js,.ts,.go,.java,.c,.cpp,.rb,.php,.rs,.txt,.json,.yml,.yaml,.toml,.cfg,.ini,.env,.lock".split(
+													","
+												)
+											);
+											const valid = Array.from(files).filter((f) => {
+												const ext = `.${f.name.split(".").pop()?.toLowerCase()}`;
+												const p = f.webkitRelativePath || f.name;
+												if (
+													p.includes("__pycache__") ||
+													p.includes("node_modules") ||
+													p.includes(".git/")
+												)
+													return false;
+												if (f.name.startsWith(".")) return false;
+												return exts.has(ext);
+											});
+											if (valid.length === 0) {
+												alert("No supported files found.");
+												return;
 											}
-										}
-										onChange(parts.join("\n\n"));
-									}}
-								/>
-							</label>
+											if (valid.length > 50) {
+												alert("Too many files (max 50).");
+												return;
+											}
+											const parts: string[] = [];
+											for (const file of valid) {
+												try {
+													const text = await file.text();
+													const rp = file.webkitRelativePath || file.name;
+													const cp = rp.includes("/") ? rp.split("/").slice(1).join("/") || rp : rp;
+													parts.push(`--- FILE: ${cp} ---\n${text}`);
+												} catch {
+													/* skip binary */
+												}
+											}
+											onChange(parts.join("\n\n"));
+										}}
+									/>
+								</label>
+							</div>
 						</div>
 						{value && (
-							<div className="rounded-md border border-input/50 bg-muted/30 p-3">
-								<p className="text-xs text-muted-foreground">
-									{value.startsWith("__ZIP__:")
-										? "📦 ZIP archive loaded — will be extracted server-side"
-										: `📄 ${(value.match(/--- FILE:/g) || []).length} file(s) loaded`}
-								</p>
+							<div className="rounded-xl border border-primary/20 bg-primary/5 p-4 shadow-inner mt-4 animate-in fade-in duration-300">
+								<div className="flex items-center gap-3">
+									<div className="rounded-full bg-primary/20 p-2">
+										<svg
+											className="h-5 w-5 text-primary"
+											fill="none"
+											stroke="currentColor"
+											viewBox="0 0 24 24"
+											aria-label="Success"
+										>
+											<path
+												strokeLinecap="round"
+												strokeLinejoin="round"
+												strokeWidth={2}
+												d="M5 13l4 4L19 7"
+											/>
+										</svg>
+									</div>
+									<p className="text-sm font-medium text-foreground">
+										{value.startsWith("__ZIP__:")
+											? "ZIP archive loaded & ready for processing"
+											: `${(value.match(/--- FILE:/g) || []).length} file(s) loaded`}
+									</p>
+								</div>
 							</div>
 						)}
-						{config.helperText && (
-							<p className="text-xs text-muted-foreground">{config.helperText}</p>
-						)}
 					</div>
 				</div>
 			);
diff --git a/app/src/app/tools/sql-converter/components/execution-view.tsx b/app/src/app/tools/sql-converter/components/execution-view.tsx
new file mode 100644
index 0000000..b761983
--- /dev/null
+++ b/app/src/app/tools/sql-converter/components/execution-view.tsx
@@ -0,0 +1,299 @@
+"use client";
+
+import {
+	CheckCircle2,
+	ChevronDown,
+	ChevronRight,
+	Database,
+	Loader2,
+	Sparkles,
+	Table as TableIcon,
+	Terminal,
+	XCircle,
+} from "lucide-react";
+import { useEffect, useRef, useState } from "react";
+import { ResultViewer } from "@/components/result-viewer";
+import { parseGenerationOutput, parseSandboxOutput } from "../lib/result-parser";
+import type { ExecutionMode, ExecutionState } from "../types";
+
+interface ExecutionViewProps {
+	execution: ExecutionState;
+	mode: ExecutionMode;
+	isLoading: boolean;
+	error: { message: string } | null;
+}
+
+const GENERATE_STEP_LABELS = [
+	"Parsing Schema",
+	"Classifying Intent",
+	"Generating SQL",
+	"Validating SQL",
+	"Refining / Mock Data",
+	"Running Sandbox",
+];
+
+const SANDBOX_STEP_LABELS = ["Parsing Schema", "Generating Synthetic Data", "Running Sandbox"];
+
+export function ExecutionView({ execution, mode, isLoading, error }: ExecutionViewProps) {
+	const [activeTab, setActiveTab] = useState<"results" | "mock">("results");
+	const [logsOpen, setLogsOpen] = useState(true);
+	const logsRef = useRef<HTMLDivElement>(null);
+
+	const stepLabels = mode === "B" ? SANDBOX_STEP_LABELS : GENERATE_STEP_LABELS;
+	const stepCount = stepLabels.length;
+
+	useEffect(() => {
+		if (logsRef.current) {
+			logsRef.current.scrollTop = logsRef.current.scrollHeight;
+		}
+	}, []);
+
+	useEffect(() => {
+		if (execution.status === "running") setLogsOpen(true);
+	}, [execution.status]);
+
+	useEffect(() => {
+		setActiveTab("results");
+	}, []);
+
+	if (execution.status === "idle") return null;
+
+	const resultParts = execution.resultText.split("---RESULT---");
+	const postResult = resultParts[1] || "";
+
+	const generationMarkdown = parseGenerationOutput(postResult);
+	const { sandboxMarkdown, mockPreviewMarkdown } = parseSandboxOutput(postResult);
+
+	const hasGeneration = generationMarkdown.length > 0;
+	const hasSandbox = sandboxMarkdown.length > 0;
+	const hasMockPreview = mockPreviewMarkdown.length > 0;
+
+	const progressPct =
+		execution.status === "success" ? 100 : Math.max(5, (execution.currentStep / stepCount) * 100);
+
+	const pipelineTitle = mode === "A" ? "SQL Generation" : "Sandbox Execution";
+
+	return (
+		<div className="space-y-1 animate-in fade-in slide-in-from-bottom-4 duration-500">
+			<div className="rounded-2xl border border-border/50 bg-card overflow-hidden shadow-sm">
+				{/* Progress header */}
+				<div className="p-5 border-b border-border/40 bg-muted/20 space-y-3">
+					<div className="flex items-center justify-between text-sm">
+						<span className="font-semibold text-foreground flex items-center gap-2">
+							{execution.status === "running" && (
+								<Loader2 className="w-4 h-4 animate-spin text-primary" />
+							)}
+							{execution.status === "success" && (
+								<CheckCircle2 className="w-4 h-4 text-emerald-500" />
+							)}
+							{execution.status === "error" && <XCircle className="w-4 h-4 text-destructive" />}
+							{execution.stepLabel || pipelineTitle}
+						</span>
+						<span className="font-mono text-xs text-muted-foreground">
+							{execution.currentStep}/{stepCount}
+						</span>
+					</div>
+
+					<div className="h-1.5 bg-muted rounded-full overflow-hidden">
+						<div
+							className={`h-full rounded-full transition-all duration-700 ease-out ${
+								execution.status === "error"
+									? "bg-destructive"
+									: execution.status === "success"
+										? "bg-emerald-500"
+										: "bg-primary animate-pulse"
+							}`}
+							style={{ width: `${progressPct}%` }}
+						/>
+					</div>
+
+					<div className="flex items-center gap-1">
+						{stepLabels.map((label, i) => {
+							const stepNum = i + 1;
+							const done = stepNum < execution.currentStep || execution.status === "success";
+							const active = stepNum === execution.currentStep && execution.status === "running";
+							return (
+								<div
+									key={label}
+									title={label}
+									className={`flex-1 h-1 rounded-full transition-colors duration-300 ${
+										done ? "bg-emerald-500" : active ? "bg-primary" : "bg-muted"
+									}`}
+								/>
+							);
+						})}
+					</div>
+				</div>
+
+				{/* Collapsible logs */}
+				<div className="border-b border-border/40">
+					<button
+						type="button"
+						onClick={() => setLogsOpen((o) => !o)}
+						className="w-full flex items-center justify-between px-5 py-3 hover:bg-muted/30 transition-colors text-sm"
+					>
+						<span className="flex items-center gap-2 font-medium text-muted-foreground">
+							<Terminal className="w-4 h-4" />
+							Agent Logs
+							{execution.logs.length > 0 && (
+								<span className="ml-1 rounded-full bg-muted px-1.5 py-0.5 text-[10px] font-mono">
+									{execution.logs.length}
+								</span>
+							)}
+						</span>
+						{logsOpen ? (
+							<ChevronDown className="w-4 h-4 text-muted-foreground" />
+						) : (
+							<ChevronRight className="w-4 h-4 text-muted-foreground" />
+						)}
+					</button>
+
+					{logsOpen && (
+						<div
+							ref={logsRef}
+							className="bg-zinc-950 text-zinc-300 px-5 py-3 text-xs font-mono max-h-44 overflow-y-auto"
+						>
+							{execution.logs.length === 0 ? (
+								<span className="text-zinc-600">Waiting for logs…</span>
+							) : (
+								<ul className="space-y-0.5">
+									{execution.logs.map((line, i) => {
+										const lineKey = `log-${i}-${line.substring(0, 15).replace(/\s/g, "-")}`;
+										let color = "text-zinc-400";
+										if (line.startsWith("[") && /\[\d+\/\d+\]/.test(line))
+											color = "text-primary font-semibold";
+										else if (
+											line.toLowerCase().includes("[error]") ||
+											line.toLowerCase().includes("failed")
+										)
+											color = "text-red-400";
+										else if (line.toLowerCase().includes("[warn]")) color = "text-amber-400";
+										else if (line.startsWith("  ->") || line.startsWith("->"))
+											color = "text-emerald-400 pl-3";
+										return (
+											<li key={lineKey} className={`py-0.5 ${color}`}>
+												{line}
+											</li>
+										);
+									})}
+									{isLoading && (
+										<li className="py-1 flex gap-1 text-primary/50">
+											<span className="animate-bounce" style={{ animationDelay: "0ms" }}>
+												·
+											</span>
+											<span className="animate-bounce" style={{ animationDelay: "150ms" }}>
+												·
+											</span>
+											<span className="animate-bounce" style={{ animationDelay: "300ms" }}>
+												·
+											</span>
+										</li>
+									)}
+								</ul>
+							)}
+						</div>
+					)}
+				</div>
+
+				{/* ── Mode A: generation result only ── */}
+				{mode === "A" && (hasGeneration || error) && (
+					<div className="p-5">
+						<div className="flex items-center gap-2 mb-4 text-sm font-semibold text-foreground">
+							<Sparkles className="w-4 h-4 text-primary" />
+							Generated SQL
+						</div>
+						<ResultViewer
+							result={generationMarkdown}
+							isLoading={isLoading && !hasGeneration}
+							error={error}
+							streaming={isLoading}
+						/>
+					</div>
+				)}
+
+				{/* ── Mode B: sandbox result + mock preview tabs ── */}
+				{mode === "B" && (hasSandbox || hasMockPreview || error) && (
+					<>
+						<div className="flex border-b border-border/40 bg-muted/10">
+							<TabBtn
+								active={activeTab === "results"}
+								onClick={() => setActiveTab("results")}
+								icon={<TableIcon className="w-3.5 h-3.5" />}
+								label="SQL Sandbox Result"
+							/>
+							<TabBtn
+								active={activeTab === "mock"}
+								onClick={() => setActiveTab("mock")}
+								icon={<Database className="w-3.5 h-3.5" />}
+								label="Mock Preview"
+								disabled={!hasMockPreview}
+							/>
+						</div>
+
+						<div className="p-5">
+							{activeTab === "results" && (
+								<ResultViewer
+									result={hasSandbox ? sandboxMarkdown : ""}
+									isLoading={isLoading && !hasSandbox}
+									error={error}
+									streaming={isLoading}
+								/>
+							)}
+
+							{activeTab === "mock" && hasMockPreview && (
+								<ResultViewer
+									result={mockPreviewMarkdown}
+									isLoading={false}
+									error={null}
+									streaming={false}
+								/>
+							)}
+
+							{activeTab === "mock" && !hasMockPreview && (
+								<div className="flex flex-col items-center justify-center h-40 text-center text-muted-foreground border-2 border-dashed border-border/40 rounded-xl">
+									<Database className="w-8 h-8 mb-2 opacity-30" />
+									<p className="text-sm font-medium">Mock data not yet available</p>
+									<p className="text-xs mt-1">
+										Synthetic table previews appear here after sandbox execution.
+									</p>
+								</div>
+							)}
+						</div>
+					</>
+				)}
+			</div>
+		</div>
+	);
+}
+
+function TabBtn({
+	active,
+	onClick,
+	icon,
+	label,
+	disabled,
+}: {
+	active: boolean;
+	onClick: () => void;
+	icon: React.ReactNode;
+	label: string;
+	disabled?: boolean;
+}) {
+	return (
+		<button
+			type="button"
+			onClick={onClick}
+			disabled={disabled}
+			className={`flex-1 py-3 text-xs font-medium flex items-center justify-center gap-1.5 transition-colors border-b-2 ${
+				active
+					? "border-primary text-primary bg-background"
+					: disabled
+						? "border-transparent text-muted-foreground/40 cursor-not-allowed"
+						: "border-transparent text-muted-foreground hover:bg-muted/30"
+			}`}
+		>
+			{icon}
+			{label}
+		</button>
+	);
+}
diff --git a/app/src/app/tools/sql-converter/components/query-builder.tsx b/app/src/app/tools/sql-converter/components/query-builder.tsx
new file mode 100644
index 0000000..c144eb5
--- /dev/null
+++ b/app/src/app/tools/sql-converter/components/query-builder.tsx
@@ -0,0 +1,238 @@
+"use client";
+
+import { Lock, Sparkles, TerminalSquare } from "lucide-react";
+import { useEffect, useState } from "react";
+import { CodeEditor } from "@/components/code-editor";
+import type { ExecutionMode } from "../types";
+
+interface QueryBuilderProps {
+	mode: ExecutionMode;
+	setMode: (mode: ExecutionMode) => void;
+	hasSuccessfulGeneration: boolean;
+	selectedDialect: string;
+	generatedSql: string;
+	onExecuteA: (query: string, dialect: string) => void;
+	onExecuteB: (sandboxQuery: string, dialect: string) => void;
+	isLoading: boolean;
+}
+
+const DIALECTS = [
+	{ value: "postgresql", label: "PostgreSQL" },
+	{ value: "mysql", label: "MySQL" },
+	{ value: "sqlite", label: "SQLite" },
+	{ value: "mssql", label: "SQL Server" },
+	{ value: "bigquery", label: "BigQuery" },
+];
+
+export function QueryBuilder({
+	mode,
+	setMode,
+	hasSuccessfulGeneration,
+	selectedDialect,
+	generatedSql,
+	onExecuteA,
+	onExecuteB,
+	isLoading,
+}: QueryBuilderProps) {
+	const [nlQuery, setNlQuery] = useState("");
+	const [dialect, setDialect] = useState(selectedDialect || "postgresql");
+	const [sandboxQuery, setSandboxQuery] = useState("");
+
+	useEffect(() => {
+		setDialect(selectedDialect);
+	}, [selectedDialect]);
+
+	useEffect(() => {
+		if (hasSuccessfulGeneration && generatedSql) {
+			setSandboxQuery(generatedSql);
+		}
+	}, [hasSuccessfulGeneration, generatedSql]);
+
+	return (
+		<div className="space-y-5 animate-in fade-in slide-in-from-bottom-4 duration-500">
+			<div>
+				<h2 className="text-base font-bold tracking-tight text-foreground">
+					Select execution mode
+				</h2>
+				<p className="text-xs text-muted-foreground mt-0.5">
+					Generate SQL from natural language, or test a query directly in the sandbox.
+				</p>
+			</div>
+
+			<div className="grid grid-cols-1 md:grid-cols-2 gap-4">
+				{/* ── MODE A ── */}
+				{/* biome-ignore lint/a11y/useSemanticElements: must be <div> to allow nested <button> inside */}
+				<div
+					role="button"
+					tabIndex={0}
+					onClick={() => setMode("A")}
+					onKeyDown={(e) => e.key === "Enter" && setMode("A")}
+					className={`rounded-2xl border-2 p-5 transition-all duration-200 cursor-pointer outline-none focus-visible:ring-2 focus-visible:ring-primary/30 ${
+						mode === "A"
+							? "border-primary bg-primary/5 shadow-sm"
+							: "border-border bg-card hover:border-primary/40"
+					}`}
+				>
+					<div className="flex items-center gap-3 mb-3">
+						<div
+							className={`p-2 rounded-lg ${
+								mode === "A"
+									? "bg-primary text-primary-foreground"
+									: "bg-muted text-muted-foreground"
+							}`}
+						>
+							<Sparkles className="w-4 h-4" />
+						</div>
+						<div>
+							<p className="text-sm font-bold">Natural Language → SQL</p>
+							<p className="text-xs text-muted-foreground">Mode A · Active by default</p>
+						</div>
+					</div>
+
+					{mode === "A" && (
+						<div
+							role="none"
+							className="space-y-3 mt-4 animate-in fade-in duration-200"
+							onClick={(e) => e.stopPropagation()}
+						>
+							<div className="space-y-1">
+								<label htmlFor="nl-query" className="text-xs font-semibold text-foreground/80">
+									Describe your query
+								</label>
+								<textarea
+									id="nl-query"
+									value={nlQuery}
+									onChange={(e) => setNlQuery(e.target.value)}
+									placeholder="List all active members who joined this year, ordered by join date..."
+									className="w-full rounded-xl border border-input bg-background px-3 py-2 text-sm shadow-sm focus:outline-none focus:ring-2 focus:ring-primary/20 resize-none h-20"
+									disabled={isLoading}
+								/>
+							</div>
+
+							<div className="space-y-1">
+								<label htmlFor="sql-dialect" className="text-xs font-semibold text-foreground/80">
+									SQL Dialect
+								</label>
+								<select
+									id="sql-dialect"
+									value={dialect}
+									onChange={(e) => setDialect(e.target.value)}
+									disabled={isLoading}
+									className="w-full rounded-xl border border-input bg-background px-3 py-2 text-sm shadow-sm focus:outline-none focus:ring-2 focus:ring-primary/20 disabled:opacity-50"
+								>
+									{DIALECTS.map((d) => (
+										<option key={d.value} value={d.value}>
+											{d.label}
+										</option>
+									))}
+								</select>
+							</div>
+
+							<button
+								type="button"
+								onClick={() => onExecuteA(nlQuery, dialect)}
+								disabled={!nlQuery.trim() || isLoading}
+								className="w-full flex items-center justify-center gap-2 py-2.5 bg-primary text-primary-foreground rounded-xl text-sm font-semibold shadow hover:bg-primary/90 disabled:opacity-40 disabled:cursor-not-allowed transition-all"
+							>
+								<Sparkles className="w-4 h-4" />
+								{isLoading ? "Generating…" : "Generate SQL"}
+							</button>
+						</div>
+					)}
+				</div>
+
+				{/* ── MODE B ── */}
+				{/* biome-ignore lint/a11y/useSemanticElements: must be <div> to allow nested <button> inside */}
+				<div
+					role="button"
+					tabIndex={hasSuccessfulGeneration ? 0 : -1}
+					onClick={() => hasSuccessfulGeneration && setMode("B")}
+					onKeyDown={(e) => e.key === "Enter" && hasSuccessfulGeneration && setMode("B")}
+					className={`relative rounded-2xl border-2 p-5 transition-all duration-200 outline-none ${
+						!hasSuccessfulGeneration
+							? "opacity-50 cursor-not-allowed border-border/40 bg-muted/10"
+							: mode === "B"
+								? "border-amber-500 bg-amber-500/5 shadow-sm cursor-pointer focus-visible:ring-2 focus-visible:ring-amber-500/30"
+								: "border-border bg-card hover:border-amber-400/50 cursor-pointer focus-visible:ring-2 focus-visible:ring-amber-500/30"
+					}`}
+				>
+					{!hasSuccessfulGeneration && (
+						<div className="absolute top-4 right-4 p-1.5 bg-muted/80 rounded-full">
+							<Lock className="w-3.5 h-3.5 text-muted-foreground" />
+						</div>
+					)}
+
+					<div className="flex items-center gap-3 mb-3">
+						<div
+							className={`p-2 rounded-lg ${
+								mode === "B" && hasSuccessfulGeneration
+									? "bg-amber-500 text-white"
+									: "bg-muted text-muted-foreground"
+							}`}
+						>
+							<TerminalSquare className="w-4 h-4" />
+						</div>
+						<div>
+							<p className="text-sm font-bold">Test SQL in Sandbox</p>
+							<p className="text-xs text-muted-foreground">
+								Mode B ·{" "}
+								{hasSuccessfulGeneration ? "Unlocked" : "Requires one successful generation"}
+							</p>
+						</div>
+					</div>
+
+					{!hasSuccessfulGeneration && (
+						<p className="text-xs text-muted-foreground">
+							Run Mode A successfully first to unlock direct sandbox testing.
+						</p>
+					)}
+
+					{hasSuccessfulGeneration && mode === "B" && (
+						<div
+							role="none"
+							className="space-y-3 mt-4 animate-in fade-in duration-200"
+							onClick={(e) => e.stopPropagation()}
+						>
+							{/* Safety notice */}
+							<div className="p-3 bg-amber-500/10 border border-amber-500/20 rounded-xl text-amber-700 dark:text-amber-400 text-xs flex gap-2 items-start">
+								<span className="shrink-0 text-base leading-none">⚠️</span>
+								<p>
+									Runs against <strong>synthetic mock data</strong> generated from your schema. Your
+									real database is never accessed.
+								</p>
+							</div>
+
+							<div className="rounded-xl border border-input overflow-hidden focus-within:ring-2 focus-within:ring-amber-500/20">
+								<CodeEditor
+									value={sandboxQuery}
+									onChange={setSandboxQuery}
+									placeholder={"SELECT * FROM members WHERE membership_status = 'Active';"}
+									rows={7}
+								/>
+							</div>
+
+							{/* Dialect reminder */}
+							<p className="text-[10px] text-muted-foreground">
+								Dialect:{" "}
+								<strong>
+									{DIALECTS.find((d) => d.value === dialect)?.label ?? dialect.toUpperCase()}
+								</strong>{" "}
+								(same as Mode A)
+							</p>
+
+							<button
+								type="button"
+								onClick={() => onExecuteB(sandboxQuery, dialect)}
+								disabled={!sandboxQuery.trim() || isLoading}
+								className="w-full flex items-center justify-center gap-2 py-2.5 bg-amber-500 text-white rounded-xl text-sm font-semibold shadow hover:bg-amber-600 disabled:opacity-40 disabled:cursor-not-allowed transition-all"
+							>
+								<TerminalSquare className="w-4 h-4" />
+								{isLoading ? "Executing…" : "Execute in Sandbox"}
+							</button>
+						</div>
+					)}
+				</div>
+			</div>
+		</div>
+	);
+}
diff --git a/app/src/app/tools/sql-converter/components/schema-preview.tsx b/app/src/app/tools/sql-converter/components/schema-preview.tsx
new file mode 100644
index 0000000..2797403
--- /dev/null
+++ b/app/src/app/tools/sql-converter/components/schema-preview.tsx
@@ -0,0 +1,97 @@
+"use client";
+
+import { Check, Database, Key, RefreshCw } from "lucide-react";
+import type { ParsedSchema } from "../types";
+
+interface SchemaPreviewProps {
+	schema: ParsedSchema;
+	onReset: () => void;
+}
+
+export function SchemaPreview({ schema, onReset }: SchemaPreviewProps) {
+	return (
+		<div className="space-y-4 animate-in fade-in slide-in-from-bottom-4 duration-400">
+			{/* Header row */}
+			<div className="flex items-center justify-between gap-3 flex-wrap">
+				<div className="flex items-center gap-3">
+					<div className="p-2 bg-emerald-500/10 rounded-full text-emerald-500 shrink-0">
+						<Check className="w-4 h-4" />
+					</div>
+					<div>
+						<p className="text-sm font-semibold text-foreground">Schema loaded</p>
+						<p className="text-xs text-muted-foreground flex items-center gap-1">
+							<Database className="w-3 h-3" />
+							{schema.tableCount} {schema.tableCount === 1 ? "table" : "tables"} detected
+						</p>
+					</div>
+				</div>
+				<button
+					type="button"
+					onClick={onReset}
+					className="flex items-center gap-1.5 text-xs font-medium text-muted-foreground hover:text-foreground transition-colors underline underline-offset-4"
+				>
+					<RefreshCw className="w-3 h-3" />
+					Load different schema
+				</button>
+			</div>
+
+			{/* Table grid */}
+			<div className="grid grid-cols-1 sm:grid-cols-2 lg:grid-cols-3 gap-3 max-h-[38vh] overflow-y-auto pr-1">
+				{schema.tables.map((table) => (
+					<div
+						key={table.name}
+						className="rounded-xl border border-border/50 bg-card overflow-hidden shadow-sm hover:shadow-md transition-shadow"
+					>
+						{/* Table header */}
+						<div className="bg-muted/50 px-3 py-2.5 border-b border-border/40 flex items-center gap-2">
+							<Database className="w-3.5 h-3.5 text-primary shrink-0" />
+							<span className="text-sm font-semibold truncate" title={table.name}>
+								{table.name}
+							</span>
+							<span className="ml-auto text-[10px] text-muted-foreground font-mono shrink-0">
+								{table.columns.length} col{table.columns.length !== 1 ? "s" : ""}
+							</span>
+						</div>
+
+						{/* Columns list */}
+						<ul className="divide-y divide-border/20">
+							{table.columns.slice(0, 8).map((col) => (
+								<li
+									key={col.name}
+									className="px-3 py-1.5 flex items-center justify-between gap-2 text-xs hover:bg-muted/20 transition-colors"
+								>
+									<div className="flex items-center gap-1.5 min-w-0">
+										{col.isPrimary ? (
+											<Key className="w-3 h-3 shrink-0 text-amber-500" aria-label="Primary Key" />
+										) : col.isForeign ? (
+											<Key className="w-3 h-3 shrink-0 text-blue-400" aria-label="Foreign Key" />
+										) : (
+											<span className="w-3 h-3 shrink-0" />
+										)}
+										<span className="font-medium text-foreground truncate">{col.name}</span>
+										{col.isNotNull && (
+											<span className="text-[9px] text-destructive/70 font-mono shrink-0">NN</span>
+										)}
+									</div>
+									<span className="text-[10px] text-muted-foreground bg-muted px-1.5 py-0.5 rounded font-mono uppercase shrink-0 max-w-[80px] truncate">
+										{col.type}
+									</span>
+								</li>
+							))}
+							{table.columns.length > 8 && (
+								<li className="px-3 py-1.5 text-xs text-muted-foreground italic">
+									+{table.columns.length - 8} more columns…
+								</li>
+							)}
+							{table.columns.length === 0 && (
+								<li className="px-3 py-2 text-xs text-muted-foreground italic text-center">
+									No columns parsed
+								</li>
+							)}
+						</ul>
+					</div>
+				))}
+			</div>
+		</div>
+	);
+}
diff --git a/app/src/app/tools/sql-converter/components/schema-uploader.tsx b/app/src/app/tools/sql-converter/components/schema-uploader.tsx
new file mode 100644
index 0000000..6272443
--- /dev/null
+++ b/app/src/app/tools/sql-converter/components/schema-uploader.tsx
@@ -0,0 +1,158 @@
+"use client";
+
+import { AlertCircle, FileCode, UploadCloud } from "lucide-react";
+import { useCallback, useState } from "react";
+import { parseDDL } from "../lib/parser";
+import type { ParsedSchema } from "../types";
+
+interface SchemaUploaderProps {
+	onSchemaLoaded: (schema: ParsedSchema) => void;
+}
+
+export function SchemaUploader({ onSchemaLoaded }: SchemaUploaderProps) {
+	const [dragActive, setDragActive] = useState(false);
+	const [textInput, setTextInput] = useState("");
+	const [error, setError] = useState<string | null>(null);
+	const [isLoading, setIsLoading] = useState(false);
+
+	const processText = useCallback(
+		(text: string, source: "file" | "paste") => {
+			if (!text.trim()) return;
+			const parsed = parseDDL(text);
+			if (parsed.tableCount === 0) {
+				setError(
+					`No valid CREATE TABLE statements found in the ${source === "file" ? "file" : "text"}.`
+				);
+				return;
+			}
+			setError(null);
+			onSchemaLoaded(parsed);
+		},
+		[onSchemaLoaded]
+	);
+
+	const processFile = useCallback(
+		async (file: File) => {
+			const ext = file.name.split(".").pop()?.toLowerCase();
+			if (!["sql", "ddl", "txt"].includes(ext || "")) {
+				setError("Only .sql, .ddl, or .txt files are accepted.");
+				return;
+			}
+			setIsLoading(true);
+			try {
+				const text = await file.text();
+				processText(text, "file");
+			} catch {
+				setError("Could not read the file. Try pasting the DDL directly.");
+			} finally {
+				setIsLoading(false);
+			}
+		},
+		[processText]
+	);
+
+	const handleDrag = (e: React.DragEvent) => {
+		e.preventDefault();
+		e.stopPropagation();
+		setDragActive(e.type === "dragenter" || e.type === "dragover");
+	};
+
+	const handleDrop = (e: React.DragEvent) => {
+		e.preventDefault();
+		e.stopPropagation();
+		setDragActive(false);
+		const file = e.dataTransfer.files?.[0];
+		if (file) processFile(file);
+	};
+
+	return (
+		<div className="space-y-6 animate-in fade-in slide-in-from-bottom-4 duration-500">
+			<div className="text-center space-y-1">
+				<h2 className="text-xl font-bold tracking-tight text-foreground">
+					Load your database schema
+				</h2>
+				<p className="text-sm text-muted-foreground">
+					Required before generating SQL. Supports MySQL, PostgreSQL, SQLite DDL.
+				</p>
+			</div>
+
+			{/* Drop zone */}
+			<label
+				className={`relative flex flex-col items-center justify-center gap-4 rounded-2xl border-2 border-dashed p-10 text-center transition-all duration-200 cursor-pointer ${
+					dragActive
+						? "border-primary bg-primary/5 scale-[1.01]"
+						: "border-border bg-muted/10 hover:border-primary/40 hover:bg-muted/30"
+				} ${isLoading ? "opacity-50 pointer-events-none" : ""}`}
+				onDragEnter={handleDrag}
+				onDragLeave={handleDrag}
+				onDragOver={handleDrag}
+				onDrop={handleDrop}
+			>
+				<input
+					type="file"
+					accept=".sql,.ddl,.txt"
+					className="absolute inset-0 w-full h-full opacity-0 cursor-pointer"
+					onChange={(e) => {
+						const file = e.target.files?.[0];
+						if (file) processFile(file);
+					}}
+				/>
+				<div className="p-4 bg-primary/10 rounded-full text-primary">
+					<UploadCloud className="w-7 h-7" />
+				</div>
+				<div>
+					<p className="text-sm font-medium text-foreground">
+						{isLoading ? "Reading file..." : "Drag & drop your .sql or .ddl file here"}
+					</p>
+					<p className="text-xs text-muted-foreground mt-0.5">or click to browse</p>
+				</div>
+			</label>
+
+			{/* Divider */}
+			<div className="relative flex items-center gap-3">
+				<div className="flex-1 h-px bg-border" />
+				<span className="text-xs font-semibold uppercase text-muted-foreground">or paste DDL</span>
+				<div className="flex-1 h-px bg-border" />
+			</div>
+
+			{/* Paste area */}
+			<div className="space-y-3">
+				<div className="rounded-xl border border-input overflow-hidden focus-within:ring-2 focus-within:ring-primary/20 focus-within:border-primary transition-all">
+					<textarea
+						value={textInput}
+						onChange={(e) => setTextInput(e.target.value)}
+						placeholder={
+							"CREATE TABLE users (\n  id SERIAL PRIMARY KEY,\n  email VARCHAR(255) NOT NULL\n);"
+						}
+						className="w-full h-32 p-4 bg-muted/20 text-sm font-mono resize-none focus:outline-none"
+						spellCheck={false}
+					/>
+				</div>
+
+				<div className="flex items-center justify-between gap-2 flex-wrap">
+					<div className="flex items-center gap-1.5 text-sm text-muted-foreground">
+						{error ? (
+							<>
+								<AlertCircle className="w-4 h-4 text-destructive shrink-0" />
+								<span className="text-destructive text-xs">{error}</span>
+							</>
+						) : (
+							<>
+								<FileCode className="w-4 h-4" />
+								<span className="text-xs">Paste raw CREATE TABLE statements</span>
+							</>
+						)}
+					</div>
+					<button
+						type="button"
+						onClick={() => processText(textInput, "paste")}
+						disabled={!textInput.trim()}
+						className="px-5 py-2 bg-primary text-primary-foreground text-sm font-semibold rounded-full shadow hover:bg-primary/90 disabled:opacity-40 disabled:cursor-not-allowed transition-all"
+					>
+						Parse Schema
+					</button>
+				</div>
+			</div>
+		</div>
+	);
+}
diff --git a/app/src/app/tools/sql-converter/lib/parser.ts b/app/src/app/tools/sql-converter/lib/parser.ts
new file mode 100644
index 0000000..41e6e1c
--- /dev/null
+++ b/app/src/app/tools/sql-converter/lib/parser.ts
@@ -0,0 +1,91 @@
+import type { ColumnDef, ParsedSchema, TableDef } from "../types";
+
+/**
+ * Lightweight client-side DDL parser for schema preview.
+ * Does NOT need to be perfect — just enough to show tables/columns.
+ * The backend (schema_parser.py with sqlglot) is the authoritative parser.
+ */
+export function parseDDL(ddl: string): ParsedSchema {
+	const tables: TableDef[] = [];
+
+	// Strip comments before parsing
+	const cleaned = ddl.replace(/--[^\n]*/g, "").replace(/\/\*[\s\S]*?\*\//g, "");
+
+	// Match CREATE TABLE blocks
+	const tableRegex =
+		/CREATE\s+TABLE\s+(?:IF\s+NOT\s+EXISTS\s+)?[`"']?(\w+)[`"']?\s*\(([\s\S]*?)\)\s*(?:ENGINE|DEFAULT|AUTO|;|$)/gi;
+
+	for (const match of cleaned.matchAll(tableRegex)) {
+		const tableName = match[1] as string;
+		const body = match[2] as string;
+
+		const columns: ColumnDef[] = [];
+
+		// Split on commas that are NOT inside parentheses
+		const lines = splitColumnDefs(body);
+
+		for (const line of lines) {
+			const trimmed = line.trim();
+			if (!trimmed) continue;
+
+			const upper = trimmed.toUpperCase();
+
+			// Skip table-level constraints
+			if (
+				upper.startsWith("PRIMARY KEY") ||
+				upper.startsWith("FOREIGN KEY") ||
+				upper.startsWith("CONSTRAINT") ||
+				upper.startsWith("UNIQUE") ||
+				upper.startsWith("INDEX") ||
+				upper.startsWith("KEY ") ||
+				upper.startsWith("CHECK")
+			) {
+				continue;
+			}
+
+			// Extract column name (first token, strip quotes/backticks)
+			const nameMatch = trimmed.match(/^[`"']?(\w+)[`"']?\s+(.+)/);
+			if (!nameMatch) continue;
+
+			const colName = nameMatch[1];
+			const rest = nameMatch[2];
+
+			// Extract type — take up to first space or first keyword
+			const typeMatch = rest.match(/^(\w+(?:\s*\([^)]+\))?(?:\s+UNSIGNED)?(?:\s+ZEROFILL)?)/i);
+			const colType = typeMatch ? typeMatch[1].trim() : rest.split(/\s+/)[0];
+
+			columns.push({
+				name: colName,
+				type: colType,
+				isPrimary: /PRIMARY\s+KEY/i.test(rest),
+				isForeign: /REFERENCES/i.test(rest),
+				isNotNull: /NOT\s+NULL/i.test(rest),
+			});
+		}
+
+		if (columns.length > 0 || tableName) {
+			tables.push({ name: tableName, columns });
+		}
+	}
+
+	return { raw: ddl, tables, tableCount: tables.length };
+}
+
+function splitColumnDefs(body: string): string[] {
+	const parts: string[] = [];
+	let depth = 0;
+	let current = "";
+
+	for (const char of body) {
+		if (char === "(") depth++;
+		else if (char === ")") depth--;
+		else if (char === "," && depth === 0) {
+			parts.push(current);
+			current = "";
+			continue;
+		}
+		current += char;
+	}
+	if (current.trim()) parts.push(current);
+	return parts;
+}
diff --git a/app/src/app/tools/sql-converter/lib/result-parser.ts b/app/src/app/tools/sql-converter/lib/result-parser.ts
new file mode 100644
index 0000000..eb76e33
--- /dev/null
+++ b/app/src/app/tools/sql-converter/lib/result-parser.ts
@@ -0,0 +1,38 @@
+/**
+ * Parses streaming result text from the sql-converter backend.
+ * Backend formats:
+ *   Mode A (generate): ---RESULT--- + SQL block + ## Explanation/Performance/Dialect + ## Sandbox Test
+ *   Mode B (sandbox):  ---RESULT--- + # SQL Sandbox Result + ## Sandbox Test + ### Mock Data Preview
+ */
+
+/** Extract the fenced SQL block from a generation response. */
+export function extractSqlFromGeneration(text: string): string {
+	const beforeSandbox = text.split("## Sandbox Test")[0];
+	const match = beforeSandbox.match(/```(?:sql)?\s*\n([\s\S]*?)```/i);
+	return match ? match[1].trim() : "";
+}
+
+/** Split Mode A output into generation content (excludes sandbox section). */
+export function parseGenerationOutput(postResult: string): string {
+	const idx = postResult.indexOf("## Sandbox Test");
+	return (idx === -1 ? postResult : postResult.slice(0, idx)).trim();
+}
+
+/** Split Mode B output into sandbox execution result and mock data preview. */
+export function parseSandboxOutput(postResult: string): {
+	sandboxMarkdown: string;
+	mockPreviewMarkdown: string;
+} {
+	let content = postResult.trim();
+	content = content.replace(/^#\s*SQL Sandbox Result\s*\n?/i, "");
+
+	const mockIdx = content.indexOf("### Mock Data Preview");
+	if (mockIdx === -1) {
+		return { sandboxMarkdown: content.trim(), mockPreviewMarkdown: "" };
+	}
+
+	return {
+		sandboxMarkdown: content.slice(0, mockIdx).trim(),
+		mockPreviewMarkdown: content.slice(mockIdx).trim(),
+	};
+}
diff --git a/app/src/app/tools/sql-converter/page.tsx b/app/src/app/tools/sql-converter/page.tsx
new file mode 100644
index 0000000..6888daa
--- /dev/null
+++ b/app/src/app/tools/sql-converter/page.tsx
@@ -0,0 +1,356 @@
+"use client";
+
+import { Button } from "@ansospace/ui";
+import { ArrowUpRight, Crown, X } from "lucide-react";
+import { notFound } from "next/navigation";
+import { useCallback, useEffect, useState } from "react";
+
+import { ToolLayout } from "@/components/tool-layout";
+import { useToolExecution } from "@/hooks/use-tool-execution";
+import { getPlanDisplayName } from "@/lib/auth";
+import { getToolIcon } from "@/lib/icons";
+import { getToolById } from "@/lib/tools/registry";
+import { useAuth } from "@/providers/auth-provider";
+import { ExecutionView } from "./components/execution-view";
+import { QueryBuilder } from "./components/query-builder";
+import { SchemaPreview } from "./components/schema-preview";
+import { SchemaUploader } from "./components/schema-uploader";
+import { extractSqlFromGeneration } from "./lib/result-parser";
+import type { ExecutionMode, ExecutionState, ParsedSchema } from "./types";
+
+const TOOL_ID = "sql-converter";
+
+export default function SqlConverterPage() {
+	const tool = getToolById(TOOL_ID);
+	if (!tool || tool.status !== "active") notFound();
+
+	// ── Auth / usage (PRESERVED — same logic as generic page) ────────────────
+	const { canExecute, getToolUsage, trackExecution, redirectToUpgrade } = useAuth();
+	const toolUsage = getToolUsage(TOOL_ID);
+	const [showUpgradeDialog, setShowUpgradeDialog] = useState(false);
+	const [mounted, setMounted] = useState(false);
+
+	useEffect(() => setMounted(true), []);
+	useEffect(() => {
+		if (mounted && toolUsage.limitReached) setShowUpgradeDialog(true);
+	}, [mounted, toolUsage.limitReached]);
+
+	// ── API endpoint (same pattern as generic page) ──────────────────────────
+	const runnerUrl = process.env.NEXT_PUBLIC_TOOL_RUNNER_URL || "http://localhost:9080";
+	const apiBase = tool.tier === "tier2" ? `${runnerUrl}/api/tools` : "/api/tools";
+
+	const { result, isLoading, error, execute, reset } = useToolExecution({
+		apiEndpoint: `${apiBase}/${TOOL_ID}`,
+		toolId: TOOL_ID,
+	});
+
+	// ── Custom UI state ───────────────────────────────────────────────────────
+	const [schema, setSchema] = useState<ParsedSchema | null>(null);
+	const [mode, setMode] = useState<ExecutionMode>("A");
+	const [executedMode, setExecutedMode] = useState<ExecutionMode>("A");
+	const [hasSuccessfulGeneration, setHasSuccessfulGeneration] = useState(false);
+	const [generatedSql, setGeneratedSql] = useState("");
+	const [selectedDialect, setSelectedDialect] = useState("postgresql");
+
+	const [execution, setExecution] = useState<ExecutionState>({
+		status: "idle",
+		currentStep: 0,
+		stepLabel: "",
+		resultText: "",
+		logs: [],
+	});
+
+	// ── Parse streaming text into ExecutionState ──────────────────────────────
+	useEffect(() => {
+		if (!result && !isLoading) return;
+
+		// Parse logs and step from streaming result text
+		const lines = result.split("\n");
+		const logs: string[] = [];
+		let currentStep = 0;
+		let stepLabel = "";
+
+		for (const line of lines) {
+			const trimmed = line.trim();
+			if (!trimmed || trimmed === ".") continue;
+
+			// Detect [N/M] step lines (generate: /6, sandbox: /3)
+			const stepMatch = trimmed.match(/^\[(\d+)\/(\d+)\]\s*(.+)/);
+			if (stepMatch) {
+				currentStep = parseInt(stepMatch[1], 10);
+				stepLabel = stepMatch[3].trim();
+				logs.push(trimmed);
+				continue;
+			}
+
+			// Skip the RESULT separator in logs
+			if (trimmed === "---RESULT---") break;
+
+			logs.push(trimmed);
+		}
+
+		const hasResultSeparator = result.includes("---RESULT---");
+		const resultParts = result.split("---RESULT---");
+		const resultText = resultParts[1] || "";
+
+		if (isLoading) {
+			setExecution({
+				status: "running",
+				currentStep: Math.max(currentStep, 1),
+				stepLabel: stepLabel || "Processing…",
+				resultText: result,
+				logs,
+			});
+		} else if (error) {
+			setExecution((prev) => ({
+				...prev,
+				status: "error",
+				stepLabel: "Failed",
+				resultText: result,
+				logs: [...prev.logs, `[ERROR] ${error.message}`],
+			}));
+		} else if (hasResultSeparator && resultText.trim()) {
+			const maxStep = executedMode === "B" ? 3 : 6;
+			setExecution({
+				status: "success",
+				currentStep: maxStep,
+				stepLabel: "Complete",
+				resultText: result,
+				logs,
+			});
+			if (executedMode === "A") {
+				setHasSuccessfulGeneration(true);
+				const sql = extractSqlFromGeneration(resultText);
+				if (sql) setGeneratedSql(sql);
+			}
+		}
+	}, [result, isLoading, error, executedMode]);
+
+	// ── Execute handlers ──────────────────────────────────────────────────────
+	const handleExecuteA = useCallback(
+		(query: string, dialect: string) => {
+			if (!canExecute(TOOL_ID)) {
+				setShowUpgradeDialog(true);
+				return;
+			}
+			setSelectedDialect(dialect);
+			setExecutedMode("A");
+			setExecution({
+				status: "running",
+				currentStep: 1,
+				stepLabel: "Parsing Schema…",
+				resultText: "",
+				logs: [`Started: NL→SQL (${dialect.toUpperCase()})`],
+			});
+			trackExecution(TOOL_ID);
+			execute({
+				model: tool.defaultModel,
+				query,
+				dialect,
+				schema: schema?.raw ?? "",
+			});
+		},
+		[canExecute, trackExecution, execute, tool.defaultModel, schema]
+	);
+
+	const handleExecuteB = useCallback(
+		(sandboxQuery: string, dialect: string) => {
+			if (!canExecute(TOOL_ID)) {
+				setShowUpgradeDialog(true);
+				return;
+			}
+			setExecutedMode("B");
+			setExecution({
+				status: "running",
+				currentStep: 1,
+				stepLabel: "Parsing Schema…",
+				resultText: "",
+				logs: [`Started: Sandbox mode (${dialect.toUpperCase()})`],
+			});
+			trackExecution(TOOL_ID);
+			execute({
+				model: tool.defaultModel,
+				mode: "sandbox",
+				sandboxQuery,
+				dialect,
+				schema: schema?.raw ?? "",
+			});
+		},
+		[canExecute, trackExecution, execute, tool.defaultModel, schema]
+	);
+
+	const handleResetSchema = useCallback(() => {
+		if (!window.confirm("Load a different schema? This will reset the current session.")) return;
+		setSchema(null);
+		setMode("A");
+		setHasSuccessfulGeneration(false);
+		setGeneratedSql("");
+		setExecution({ status: "idle", currentStep: 0, stepLabel: "", resultText: "", logs: [] });
+		reset();
+	}, [reset]);
+
+	// ── Render ────────────────────────────────────────────────────────────────
+	return (
+		<>
+			<ToolLayout
+				title={tool.name}
+				description={tool.description}
+				icon={getToolIcon(tool.icon, "h-6 w-6")}
+				onRestore={(body) => {
+					// Restore schema from history if available
+					const raw = (body.schema as string) || "";
+					if (raw) {
+						import("./lib/parser").then(({ parseDDL }) => {
+							const parsed = parseDDL(raw);
+							if (parsed.tableCount > 0) setSchema(parsed);
+						});
+					}
+				}}
+			>
+				<div className="space-y-8 max-w-5xl mx-auto pb-20">
+					{/* ── STEP 1: Schema ── */}
+					<section>
+						{!schema ? (
+							<SchemaUploader onSchemaLoaded={setSchema} />
+						) : (
+							<SchemaPreview schema={schema} onReset={handleResetSchema} />
+						)}
+					</section>
+
+					{/* ── STEP 2: Mode + Query (only when schema loaded) ── */}
+					{schema && (
+						<section>
+							{/* Usage pill — PRESERVED from generic page */}
+							<div className="flex items-center justify-end mb-3">
+								<div
+									className={`inline-flex items-center gap-1.5 rounded-full px-3 py-1 text-xs font-medium ${
+										!mounted
+											? "bg-primary/10 text-primary"
+											: toolUsage.limitReached
+												? "bg-destructive/10 text-destructive"
+												: toolUsage.remaining <= 2
+													? "bg-amber-500/10 text-amber-500"
+													: "bg-primary/10 text-primary"
+									}`}
+								>
+									<span
+										className={`h-1.5 w-1.5 rounded-full ${
+											!mounted
+												? "bg-primary"
+												: toolUsage.limitReached
+													? "bg-destructive"
+													: toolUsage.remaining <= 2
+														? "bg-amber-500"
+														: "bg-primary"
+										}`}
+									/>
+									{mounted ? toolUsage.used : 0}/{toolUsage.limit} uses today
+									<span className="ml-1 rounded-md bg-muted px-1.5 py-0.5 text-[9px] font-semibold uppercase">
+										{mounted ? toolUsage.plan : "free"}
+									</span>
+								</div>
+							</div>
+
+							{toolUsage.limitReached && mounted ? (
+								<div className="rounded-xl border border-destructive/20 bg-destructive/5 p-4 text-sm text-destructive">
+									Daily limit reached.{" "}
+									<button
+										type="button"
+										onClick={redirectToUpgrade}
+										className="underline underline-offset-2 font-medium"
+									>
+										Upgrade for more <ArrowUpRight className="inline w-3 h-3" />
+									</button>
+								</div>
+							) : (
+								<QueryBuilder
+									mode={mode}
+									setMode={setMode}
+									hasSuccessfulGeneration={hasSuccessfulGeneration}
+									selectedDialect={selectedDialect}
+									generatedSql={generatedSql}
+									onExecuteA={handleExecuteA}
+									onExecuteB={handleExecuteB}
+									isLoading={isLoading}
+								/>
+							)}
+						</section>
+					)}
+
+					{/* ── STEP 3: Execution results ── */}
+					{execution.status !== "idle" && (
+						<section>
+							<ExecutionView
+								execution={execution}
+								mode={executedMode}
+								isLoading={isLoading}
+								error={error}
+							/>
+						</section>
+					)}
+				</div>
+			</ToolLayout>
+
+			{/* ── Upgrade dialog — PRESERVED from generic page ── */}
+			{showUpgradeDialog && (
+				<div className="fixed inset-0 z-50 flex items-center justify-center bg-black/60 backdrop-blur-sm animate-in fade-in duration-200">
+					<div className="relative mx-4 w-full max-w-md rounded-2xl border border-border/50 bg-card p-6 shadow-2xl animate-in zoom-in-95 duration-200">
+						<button
+							type="button"
+							onClick={() => setShowUpgradeDialog(false)}
+							className="absolute right-4 top-4 rounded-full p-1 text-muted-foreground hover:bg-muted hover:text-foreground transition-colors"
+						>
+							<X className="h-4 w-4" />
+						</button>
+						<div className="mx-auto mb-4 flex h-14 w-14 items-center justify-center rounded-full bg-gradient-to-br from-amber-500/20 to-orange-500/20">
+							<Crown className="h-7 w-7 text-amber-500" />
+						</div>
+						<h3 className="text-center text-lg font-semibold">Daily Limit Reached</h3>
+						<p className="mt-1 text-center text-sm text-muted-foreground">
+							You've used all <strong>{toolUsage.limit}</strong> executions for{" "}
+							<strong>Natural Language to SQL</strong> today on the{" "}
+							<span className="font-medium text-foreground">
+								{getPlanDisplayName(toolUsage.plan)}
+							</span>{" "}
+							plan.
+						</p>
+						<div className="mt-5 space-y-2 rounded-xl bg-muted/50 p-4 text-sm">
+							{[
+								{ plan: "free", label: "Free", count: "5 / tool / day" },
+								{ plan: "pro", label: "Pro", count: "20 / tool / day" },
+								{ plan: "premium", label: "Premium", count: "100 / tool / day" },
+							].map(({ plan, label, count }) => (
+								<div key={plan} className="flex items-center justify-between">
+									<span className="text-muted-foreground">{label}</span>
+									<span
+										className={
+											toolUsage.plan === plan ? "font-bold text-foreground" : "text-primary"
+										}
+									>
+										{count} {toolUsage.plan === plan && "(current)"}
+									</span>
+								</div>
+							))}
+						</div>
+						<div className="mt-5 flex gap-3">
+							<Button
+								variant="outline"
+								className="flex-1"
+								onClick={() => setShowUpgradeDialog(false)}
+							>
+								Maybe Later
+							</Button>
+							<Button
+								className="flex-1 gap-2 bg-gradient-to-r from-amber-500 to-orange-500 text-white hover:from-amber-600 hover:to-orange-600"
+								onClick={redirectToUpgrade}
+							>
+								Upgrade Now
+								<ArrowUpRight className="h-4 w-4" />
+							</Button>
+						</div>
+					</div>
+				</div>
+			)}
+		</>
+	);
+}
diff --git a/app/src/app/tools/sql-converter/types.ts b/app/src/app/tools/sql-converter/types.ts
new file mode 100644
index 0000000..b92a17f
--- /dev/null
+++ b/app/src/app/tools/sql-converter/types.ts
@@ -0,0 +1,34 @@
+// Local types for the sql-converter custom page.
+// Do NOT import from here in any shared component.
+
+export interface ColumnDef {
+	name: string;
+	type: string;
+	isPrimary?: boolean;
+	isForeign?: boolean;
+	isNotNull?: boolean;
+}
+
+export interface TableDef {
+	name: string;
+	columns: ColumnDef[];
+}
+
+export interface ParsedSchema {
+	raw: string;
+	tables: TableDef[];
+	tableCount: number;
+}
+
+export type ExecutionMode = "A" | "B";
+
+export type ExecutionStatus = "idle" | "running" | "success" | "error";
+
+export interface ExecutionState {
+	status: ExecutionStatus;
+	/** 0–6: which pipeline step is active (mirrors backend [N/6] logs) */
+	currentStep: number;
+	stepLabel: string;
+	resultText: string; // full streaming text accumulator
+	logs: string[]; // individual log lines parsed from stream
+}
diff --git a/app/src/components/result-viewer.tsx b/app/src/components/result-viewer.tsx
index 8231460..a6a5d76 100644
--- a/app/src/components/result-viewer.tsx
+++ b/app/src/components/result-viewer.tsx
@@ -272,7 +272,8 @@ export function ResultViewer({
 		);
 	}
 
-	let parsedJson: { code?: string; [key: string]: any } | null = null;
+	// biome-ignore lint/suspicious/noExplicitAny: JSON parsing needs flexible type
+	let parsedJson: Record<string, any> | null = null;
 	let displayMarkdown = result;
 	let pipelineLogs = "";
 	let isReportStarted = false;
@@ -357,7 +358,7 @@ export function ResultViewer({
 									textColor = "text-red-400";
 								}
 								return (
-									<div key={i} className={`py-0.5 ${textColor}`}>
+									<div key={`log-line-${i}`} className={`py-0.5 ${textColor}`}>
 										{line}
 									</div>
 								);
@@ -417,6 +418,7 @@ export function ResultViewer({
 					{hasHtmlCode && (
 						<div className="flex border-b border-border/50 px-4 pt-3 bg-muted/20">
 							<button
+								type="button"
 								onClick={() => setActiveTab("preview")}
 								className={`px-4 py-2 text-sm font-medium border-b-2 transition-colors ${
 									activeTab === "preview"
@@ -427,6 +429,7 @@ export function ResultViewer({
 								Preview
 							</button>
 							<button
+								type="button"
 								onClick={() => setActiveTab("code")}
 								className={`px-4 py-2 text-sm font-medium border-b-2 transition-colors ${
 									activeTab === "code"
diff --git a/app/src/components/tools/app-sidebar.tsx b/app/src/components/tools/app-sidebar.tsx
index 62cd39d..32d336c 100644
--- a/app/src/components/tools/app-sidebar.tsx
+++ b/app/src/components/tools/app-sidebar.tsx
@@ -72,6 +72,7 @@ function CollapsibleCategory({
 		<div className="group-data-[collapsible=icon]:hidden">
 			{/* Category header with icon */}
 			<button
+				type="button"
 				onClick={() => {
 					setIsOpen(!isOpen);
 					router.push(`/tools#${categoryKey}`);
@@ -286,6 +287,7 @@ function UsageCounter() {
 				{/* Upgrade link for free users */}
 				{planId === "free" && (
 					<button
+						type="button"
 						onClick={redirectToUpgrade}
 						className="w-full text-[10px] text-center text-primary hover:underline underline-offset-2"
 					>
diff --git a/app/src/components/usage-counter.tsx b/app/src/components/usage-counter.tsx
index 5177f84..6fe5be1 100644
--- a/app/src/components/usage-counter.tsx
+++ b/app/src/components/usage-counter.tsx
@@ -10,7 +10,7 @@ import { useAuth } from "@/providers/auth-provider";
  * Shows upgrade prompt when approaching or at limit.
  */
 export function UsageCounter() {
-	const { user, usage, isLoading, isAuthenticated, redirectToLogin, redirectToUpgrade } = useAuth();
+	const { usage, isLoading, isAuthenticated, redirectToLogin, redirectToUpgrade } = useAuth();
 
 	if (isLoading) {
 		return (
@@ -71,6 +71,7 @@ export function UsageCounter() {
 
 			{!isAuthenticated && !isExhausted && (
 				<button
+					type="button"
 					onClick={redirectToLogin}
 					className="w-full text-[10px] text-primary hover:underline underline-offset-2 text-center"
 				>
diff --git a/app/src/lib/tools/sql-converter.ts b/app/src/lib/tools/sql-converter.ts
index d9b4f49..13617b3 100644
--- a/app/src/lib/tools/sql-converter.ts
+++ b/app/src/lib/tools/sql-converter.ts
@@ -1,59 +1,22 @@
-import type { ToolDefinition } from "@/types";
+import type { ToolDefinition } from "@/types";
 
 export const sqlConverter: ToolDefinition = {
 	id: "sql-converter",
 	name: "Natural Language to SQL",
-	description: "Convert plain English to dialect-aware SQL queries",
+	description: "Multi-agent pipeline: parses schema, classifies intent, generates validated SQL.",
 	category: "data",
 	icon: "Database",
 	status: "active",
+	outputFormat: "streaming-text",
 
-	defaultModel: "qwen-3-coder-30b",
-	requiredFields: ["query"],
-	buildSystemPrompt: ({ dialect, schema }) =>
-		`You are an expert SQL developer. Convert natural language descriptions into optimized SQL queries.
-
-Rules:
-- Target dialect: ${dialect || "PostgreSQL"}
-- Output the SQL query in a fenced code block
-- Include comments explaining complex parts
-- Optimize for performance (proper indexing hints, JOINs over subqueries)
-- If a schema is provided, respect its table/column names exactly
-${schema ? `\nAvailable schema:\n\`\`\`sql\n${schema}\n\`\`\`` : ""}
+	// Routes requests to services/python-tools/tools/sql-converter/tool.py
+	tier: "tier2",
 
-After the query, provide:
-1. **Explanation** - What the query does step by step
-2. **Performance Notes** - Any indexing or optimization suggestions
-3. **Variations** - Alternative approaches if applicable`,
-	buildUserPrompt: ({ query, dialect }) => `Convert this to ${dialect || "SQL"}:\n\n${query}`,
+	requiredFields: [], // ← Custom page handles its own validation
+	defaultModel: "qwen-3-coder-30b",
+	buildSystemPrompt: () => "",
+	buildUserPrompt: ({ query, dialect, schema, schemaFile, sandboxQuery }) =>
+		JSON.stringify({ query, dialect, schema, schemaFile, sandboxQuery }),
 
-	inputs: [
-		{
-			key: "query",
-			label: "Describe what you want to query",
-			type: "textarea",
-			placeholder:
-				"Get all users who signed up in the last 30 days, ordered by most recent first...",
-			rows: 4,
-		},
-		{
-			key: "dialect",
-			label: "SQL Dialect",
-			type: "select",
-			options: [
-				{ value: "postgresql", label: "PostgreSQL" },
-				{ value: "mysql", label: "MySQL" },
-				{ value: "sqlite", label: "SQLite" },
-				{ value: "mssql", label: "SQL Server" },
-			],
-		},
-		{
-			key: "schema",
-			label: "Table schema (optional)",
-			type: "code",
-			placeholder:
-				"CREATE TABLE users (\n  id SERIAL PRIMARY KEY,\n  email VARCHAR(255),\n  created_at TIMESTAMP\n);",
-			rows: 6,
-		},
-	],
+	inputs: [], // ← Custom page renders its own inputs
 };
diff --git a/app/tsconfig.tsbuildinfo b/app/tsconfig.tsbuildinfo
index 8ccc408..70d56ca 100644
--- a/app/tsconfig.tsbuildinfo
+++ b/app/tsconfig.tsbuildinfo
@@ -1 +1 @@
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762,706],[1637,707],[1765,708],[1773,709],[1632,710],[1774,711],[1783,712],[1775,713],[1639,711],[1813,714],[1772,715],[1771,716],[1642,717],[1643,2],[1673,718],[1674,719],[1655,720],[1656,721],[1662,722],[1654,723],[1672,724],[1641,725],[1716,2],[1633,2],[1658,2],[1644,2],[1645,726],[1649,727],[1786,674],[1638,2],[1650,2],[1789,709],[1634,709],[1788,709],[1760,728],[1759,729],[1726,730],[1784,2],[1695,731],[1651,712],[1787,674],[1764,732],[1740,2],[1733,2],[1625,2],[1747,733],[1746,734],[1798,691],[1802,735],[1800,736],[1753,2],[1628,737],[1815,2],[1734,703],[1671,738],[1752,739],[1751,2],[1705,740],[1690,741],[1691,2],[1661,742],[1738,743],[1739,743],[1677,744],[1678,2],[1687,2],[1646,745],[1685,746],[1709,747],[1659,2],[1635,748],[1715,2],[1664,749],[1665,750],[1757,751],[1818,752],[1697,753],[1710,754],[1803,684],[1805,755],[1804,755],[1702,756],[1703,757],[1660,2],[1622,2],[1713,2],[1712,758],[1761,759],[1756,760],[1796,761],[1811,758],[1693,762],[1676,763],[1692,762],[1694,764],[1699,765],[1636,705],[1750,766],[1809,767],[1779,768],[1722,769],[1721,2],[1717,770],[1744,771],[1718,770],[1720,772],[1719,773],[1743,713],[1782,774],[1780,775],[1689,776],[1657,2],[1696,777],[1806,691],[1808,735],[1807,736],[1663,672],[1767,778],[1810,779],[1766,780],[1812,781],[1736,782],[1732,2],[1749,783],[1700,784],[1701,785],[1682,2],[1648,786],[1653,758],[1819,2],[1652,787],[1727,788],[1770,2],[1623,2],[1711,758],[1707,789],[1627,2],[1708,790],[1640,2],[1681,2],[1679,2],[1680,2],[1698,2],[1723,2],[1792,791],[1684,758],[1763,706],[1683,792],[1785,793],[81,2],[82,2],[13,2],[14,2],[16,2],[15,2],[2,2],[17,2],[18,2],[19,2],[20,2],[21,2],[22,2],[23,2],[24,2],[3,2],[25,2],[26,2],[4,2],[27,2],[31,2],[28,2],[29,2],[30,2],[32,2],[33,2],[34,2],[5,2],[35,2],[36,2],[37,2],[38,2],[6,2],[42,2],[39,2],[40,2],[41,2],[43,2],[7,2],[44,2],[49,2],[50,2],[45,2],[46,2],[47,2],[48,2],[8,2],[54,2],[51,2],[52,2],[53,2],[55,2],[9,2],[56,2],[57,2],[58,2],[60,2],[59,2],[61,2],[62,2],[10,2],[63,2],[64,2],[65,2],[11,2],[66,2],[67,2],[68,2],[69,2],[70,2],[1,2],[71,2],[72,2],[12,2],[76,2],[74,2],[79,2],[78,2],[73,2],[77,2],[75,2],[80,2],[117,794],[127,795],[116,794],[137,796],[108,797],[107,798],[136,551],[130,799],[135,800],[110,801],[124,802],[109,803],[133,804],[105,805],[104,551],[134,806],[106,807],[111,808],[112,2],[115,808],[102,2],[138,809],[128,810],[119,811],[120,812],[122,813],[118,814],[121,815],[131,551],[113,816],[114,817],[123,818],[103,819],[126,810],[125,808],[129,2],[132,820],[1923,821],[1919,2],[1922,822],[1916,823],[1915,232],[1918,824],[1917,825],[674,826],[1513,827],[1514,828],[2003,829],[1519,830],[1520,831],[1522,832],[2007,833],[2006,834],[2005,835],[2004,836],[676,837],[677,838],[2008,839],[675,838],[2009,840],[2010,841],[1523,842],[2001,843],[2011,844],[2012,845],[2000,846],[2013,842],[1521,847],[2002,848],[1518,849],[2014,850],[680,851],[681,838],[642,852],[679,853],[1516,854],[640,838],[641,855],[644,856],[645,856],[646,856],[647,856],[648,856],[649,856],[650,856],[652,856],[651,856],[653,856],[654,856],[655,856],[656,856],[657,856],[659,856],[658,856],[660,856],[661,856],[662,856],[663,856],[664,856],[665,856],[673,857],[666,856],[667,856],[668,856],[669,856],[670,856],[671,856],[672,856],[1517,858],[643,838]],"affectedFilesPendingEmit":[2016,532,674,1513,1514,2003,1519,1520,1522,2007,2006,2005,2004,676,677,2008,675,2009,2010,1523,2001,2011,2012,2000,2013,1521,2002,1518,2014,680,681,642,679,1516,640,641,644,645,646,647,648,649,650,652,651,653,654,655,656,657,659,658,660,661,662,663,664,665,673,666,667,668,669,670,671,672,1517,643],"version":"5.9.3"}
\ No newline at end of file
diff --git a/docker-compose.dev.yml b/docker-compose.dev.yml
index c6d55f8..fc7b1d2 100644
--- a/docker-compose.dev.yml
+++ b/docker-compose.dev.yml
@@ -20,9 +20,15 @@ services:
       - OXLO_API_KEY=${OXLO_API_KEY}
       - OXLO_BASE_URL=https://api.oxlo.ai/v1
       - TAVILY_API_KEY=${TAVILY_API_KEY}
+      - DOCKER_HOST=unix:///var/run/docker.sock
+      - SANDBOX_HOST=host.docker.internal
+    extra_hosts:
+      - "host.docker.internal:host-gateway"
     volumes:
       # Mount tools dir for live reload during development
       - ./services/python-tools/tools:/app/tools
+      # Required for SQL sandbox containers
+      - /var/run/docker.sock:/var/run/docker.sock
     restart: unless-stopped
 
   # Legacy standalone services (will be migrated to unified runner)
diff --git a/services/python-tools/requirements.txt b/services/python-tools/requirements.txt
index 568805b..fd8de56 100644
--- a/services/python-tools/requirements.txt
+++ b/services/python-tools/requirements.txt
@@ -3,3 +3,4 @@ fastapi==0.115.0
 uvicorn[standard]==0.30.6
 httpx==0.27.0
 pydantic==2.9.0
+docker>=7.0.0
diff --git a/services/python-tools/tools/sql-converter/intent_classifier.py b/services/python-tools/tools/sql-converter/intent_classifier.py
new file mode 100644
index 0000000..0ec25d0
--- /dev/null
+++ b/services/python-tools/tools/sql-converter/intent_classifier.py
@@ -0,0 +1,96 @@
+"""
+Intent Classifier — analyses natural language and returns a structured query plan.
+Model: deepseek-v3.2  (fast, good at structured JSON extraction)
+"""
+import json
+import re
+
+from llm_client import call_oxlo_chat
+
+INTENT_MODEL = "deepseek-v3.2"
+
+_SYSTEM = """\
+You are an expert at analysing natural language database queries.
+Respond ONLY with a valid JSON object — no markdown fences, no explanation.
+The JSON must have these keys:
+  - "target_tables": list of table names the query touches
+  - "operation": one of "SELECT" | "INSERT" | "UPDATE" | "DELETE" | "DDL"
+  - "filters": list of filter condition descriptions (plain English)
+  - "aggregations": list of aggregation descriptions (e.g. "COUNT of orders", "SUM of amount")
+  - "joins": list of join descriptions (e.g. "users JOIN orders ON users.id = orders.user_id")
+  - "ordering": list of ordering descriptions
+  - "grouping": list of columns to group by
+  - "limit": integer or null
+  - "subquery_needed": boolean
+  - "complexity": one of "simple" | "moderate" | "complex"
+  - "ambiguities": list of strings describing unclear aspects (empty list if none)
+"""
+
+
+def _extract_json(text: str) -> dict:
+    text = text.strip()
+    text = re.sub(r"^```[a-zA-Z0-9_-]*\n?", "", text)
+    text = re.sub(r"```$", "", text.strip())
+    try:
+        return json.loads(text)
+    except json.JSONDecodeError:
+        m = re.search(r"\{.*\}", text, re.DOTALL)
+        if m:
+            try:
+                return json.loads(m.group(0))
+            except json.JSONDecodeError:
+                return {}
+    return {}
+
+
+async def classify_intent(query: str, schema_info: dict, dialect: str) -> dict:
+    """
+    Args:
+        query:       Natural language query from the user.
+        schema_info: Output of schema_parser.parse_schema().
+        dialect:     Target SQL dialect (e.g. "postgresql").
+    Returns:
+        Structured query plan dict. Falls back to minimal defaults on error.
+    """
+    table_summary = ""
+    if schema_info.get("table_names"):
+        lines = []
+        for tname, tinfo in schema_info["tables"].items():
+            col_names = list(tinfo["columns"].keys())
+            lines.append(f"  - {tname}: {', '.join(col_names)}")
+        table_summary = "Available tables:\n" + "\n".join(lines)
+
+    user_prompt = (
+        f"Natural language query: {query}\n\n"
+        f"Target dialect: {dialect or 'postgresql'}\n"
+        f"{table_summary}\n\n"
+        "Return the JSON query plan."
+    )
+
+    try:
+        raw = await call_oxlo_chat(
+            INTENT_MODEL,
+            _SYSTEM,
+            user_prompt,
+            max_tokens=700,
+            temperature=0.1,
+        )
+        plan = _extract_json(raw)
+    except Exception:
+        plan = {}
+
+    defaults = {
+        "target_tables": [],
+        "operation": "SELECT",
+        "filters": [],
+        "aggregations": [],
+        "joins": [],
+        "ordering": [],
+        "grouping": [],
+        "limit": None,
+        "subquery_needed": False,
+        "complexity": "simple",
+        "ambiguities": [],
+    }
+    defaults.update({k: v for k, v in plan.items() if v is not None})
+    return defaults
diff --git a/services/python-tools/tools/sql-converter/llm_client.py b/services/python-tools/tools/sql-converter/llm_client.py
new file mode 100644
index 0000000..a5efa1d
--- /dev/null
+++ b/services/python-tools/tools/sql-converter/llm_client.py
@@ -0,0 +1,59 @@
+import os
+
+import httpx
+
+OXLO_BASE_URL = os.getenv("OXLO_BASE_URL", "https://api.oxlo.ai/v1")
+OXLO_API_KEY = os.getenv("OXLO_API_KEY", "")
+_CLIENT: httpx.AsyncClient | None = None
+
+
+class OxloError(RuntimeError):
+    pass
+
+
+def _get_client() -> httpx.AsyncClient:
+    global _CLIENT
+    if _CLIENT is None:
+        _CLIENT = httpx.AsyncClient()
+    return _CLIENT
+
+
+async def call_oxlo_chat(
+    model: str,
+    system_prompt: str,
+    user_prompt: str,
+    max_tokens: int = 2048,
+    temperature: float = 0.3,
+) -> str:
+    if not OXLO_API_KEY:
+        raise OxloError("OXLO_API_KEY not configured")
+
+    payload = {
+        "model": model,
+        "messages": [
+            {"role": "system", "content": system_prompt},
+            {"role": "user", "content": user_prompt},
+        ],
+        "temperature": temperature,
+        "max_tokens": max_tokens,
+    }
+
+    client = _get_client()
+    resp = await client.post(
+        f"{OXLO_BASE_URL}/chat/completions",
+        headers={"Authorization": f"Bearer {OXLO_API_KEY}"},
+        json=payload,
+        timeout=30,
+    )
+    resp.raise_for_status()
+    data = resp.json()
+    choices = data.get("choices")
+    if not choices or not isinstance(choices, list):
+        raise OxloError(f"Unexpected API response: no choices returned. Response: {data}")
+
+    message = choices[0].get("message", {}) if isinstance(choices[0], dict) else {}
+    content = message.get("content")
+    if content is None:
+        raise OxloError(f"Unexpected API response: content is None. Message: {message}")
+
+    return content.strip()
diff --git a/services/python-tools/tools/sql-converter/requirements.txt b/services/python-tools/tools/sql-converter/requirements.txt
new file mode 100644
index 0000000..2a0465a
--- /dev/null
+++ b/services/python-tools/tools/sql-converter/requirements.txt
@@ -0,0 +1,14 @@
+# Core — already present in v1
+sqlglot>=25.0.0
+pydantic>=2.0.0
+httpx>=0.27.0
+
+# Multi-dialect sandbox
+docker>=7.0.0               # Docker SDK for Python (manage ephemeral containers)
+psycopg2-binary>=2.9.9      # PostgreSQL driver
+pymysql>=1.1.0              # MySQL driver
+pyodbc>=5.1.0               # SQL Server driver (requires unixODBC in Docker image)
+
+# BigQuery emulator client
+google-cloud-bigquery>=3.20.0
+google-auth>=2.29.0
diff --git a/services/python-tools/tools/sql-converter/sandbox_manager.py b/services/python-tools/tools/sql-converter/sandbox_manager.py
new file mode 100644
index 0000000..265b159
--- /dev/null
+++ b/services/python-tools/tools/sql-converter/sandbox_manager.py
@@ -0,0 +1,1166 @@
+"""
+Sandbox Manager — multi-dialect SQL execution environment.
+
+Routing:
+  sqlite     → in-memory SQLite (no Docker)
+  postgresql → postgres:16-alpine container (ephemeral)
+  mysql      → mysql:8.4 container (ephemeral)
+  mssql      → mcr.microsoft.com/mssql/server:2022-latest (ephemeral, needs 2 GB RAM)
+  bigquery   → ghcr.io/goccy/bigquery-emulator container (ephemeral)
+
+Each non-SQLite sandbox:
+  1. Pulls image if missing (cached after first run).
+  2. Runs container with memory/CPU limits and a random-port binding.
+  3. Waits for the DB to accept connections (health-check loop).
+  4. Loads the INSERT statements for the mock data.
+  5. Executes the user query and captures rows + columns.
+  6. Destroys the container in a try/finally block.
+"""
+from __future__ import annotations
+
+import json
+import logging
+import os
+import re
+import secrets
+import sqlite3
+import time
+from contextlib import contextmanager
+from typing import Any, Generator
+
+logger = logging.getLogger(__name__)
+
+# ---------------------------------------------------------------------------
+# Constants
+# ---------------------------------------------------------------------------
+
+_MEMORY_LIMITS: dict[str, str] = {
+    "postgresql": "512m",
+    "mysql": "512m",
+    "mssql": "2g",   # SQL Server minimum requirement
+    "bigquery": "512m",
+}
+
+# Data directories to mount as tmpfs (RAM-only) for ephemeral sandboxes.
+# This prevents Docker from creating anonymous volumes that accumulate on disk.
+# SQLite and BigQuery emulator are stateless and don't need this.
+_TMPFS_MOUNTS: dict[str, str] = {
+    "postgresql": "/var/lib/postgresql/data",
+    "mysql":      "/var/lib/mysql",
+    "mssql":      "/var/opt/mssql",
+}
+
+_NANO_CPU_LIMIT = 1_000_000_000   # 1 vCPU
+
+_CONNECT_TIMEOUT = 60   # seconds to wait for container to be ready
+_QUERY_TIMEOUT   = 30   # seconds for single query execution
+_MAX_ROWS        = 100  # cap result set
+
+_SQLGLOT_DIALECT_MAP = {
+    "postgresql": "postgres",
+    "mysql": "mysql",
+    "mssql": "tsql",
+    "bigquery": "bigquery",
+    "sqlite": "sqlite",
+}
+
+
+# ---------------------------------------------------------------------------
+# Result type
+# ---------------------------------------------------------------------------
+
+class SandboxResult:
+    def __init__(
+        self,
+        ok: bool,
+        columns: list[str],
+        rows: list[dict[str, Any]],
+        error: str,
+        dialect: str,
+        warnings: list[str],
+        duration_ms: int,
+        mock_preview: dict[str, list[dict[str, Any]]],
+    ):
+        self.ok = ok
+        self.columns = columns
+        self.rows = rows
+        self.error = error
+        self.dialect = dialect
+        self.warnings = warnings
+        self.duration_ms = duration_ms
+        self.mock_preview = mock_preview
+
+    def to_dict(self) -> dict:
+        return {
+            "ok": self.ok,
+            "columns": self.columns,
+            "rows": self.rows,
+            "error": self.error,
+            "dialect": self.dialect,
+            "warnings": self.warnings,
+            "duration_ms": self.duration_ms,
+            "mockPreview": self.mock_preview,
+        }
+
+
+def _fail(dialect: str, error: str, warnings: list[str] | None = None) -> SandboxResult:
+    return SandboxResult(
+        ok=False, columns=[], rows=[], error=error,
+        dialect=dialect, warnings=warnings or [], duration_ms=0, mock_preview={},
+    )
+
+
+# ---------------------------------------------------------------------------
+# SQL extraction helper
+# ---------------------------------------------------------------------------
+
+def _extract_sql(text: str) -> str:
+    t = (text or "").strip()
+    m = re.search(r"```(?:sql)?\s*\n(.*?)```", t, re.DOTALL | re.IGNORECASE)
+    if m:
+        return m.group(1).strip()
+    return t
+
+
+# ---------------------------------------------------------------------------
+# DDL helpers
+# ---------------------------------------------------------------------------
+
+def _strip_database_statements(ddl: str) -> str:
+    """
+    Remove CREATE DATABASE, DROP DATABASE, and USE statements from DDL.
+    These conflict with the sandbox's own database management.
+    """
+    lines = []
+    for line in ddl.splitlines():
+        stripped = line.strip().upper()
+        if (
+            stripped.startswith("CREATE DATABASE")
+            or stripped.startswith("DROP DATABASE")
+            or stripped.startswith("USE ")
+            or stripped.startswith("CREATE SCHEMA")
+            or stripped.startswith("DROP SCHEMA")
+        ):
+            continue
+        lines.append(line)
+    return "\n".join(lines)
+
+
+def _quote_id(name: str, dialect: str) -> str:
+    """Return a properly quoted identifier for the given dialect."""
+    safe = re.sub(r"[^a-zA-Z0-9_]", "", name or "")
+    if dialect == "mysql":
+        return f"`{safe}`"
+    elif dialect == "mssql":
+        return f"[{safe}]"
+    else:  # postgresql, sqlite, bigquery
+        return f'"{safe}"'
+
+
+def _normalize_ddl_case(ddl: str, dialect: str) -> str:
+    """
+    Re-generate DDL with lowercase table/column names using sqlglot,
+    so that names match the schema_info dict (which uses .lower()).
+    Falls back to original DDL on parse error.
+    """
+    try:
+        import sqlglot
+        from sqlglot import exp
+
+        dialect_key = _SQLGLOT_DIALECT_MAP.get(dialect, "postgres")
+        statements = sqlglot.parse(ddl, read=dialect_key)
+        normalized = []
+        for stmt in statements:
+            if stmt is None:
+                continue
+            # Lowercase all Table and Column name nodes
+            for node in stmt.walk():
+                if isinstance(node, exp.Table) and node.name:
+                    node.set("this", exp.to_identifier(node.name.lower()))
+                elif isinstance(node, exp.Column) and node.name:
+                    node.set("this", exp.to_identifier(node.name.lower()))
+            normalized.append(stmt.sql(dialect=dialect_key))
+        return ";\n".join(normalized)
+    except Exception:
+        return ddl
+
+
+def _resolve_table_name(tname: str, schema_info: dict) -> str:
+    tables = schema_info.get("tables") or {}
+    lookup = {k.lower(): k for k in tables}
+    return lookup.get((tname or "").lower(), tname)
+
+
+# ---------------------------------------------------------------------------
+# Public entry point
+# ---------------------------------------------------------------------------
+
+def run_sandbox(
+    sql: str,
+    dialect: str,
+    schema_info: dict,
+    mock_data: dict[str, list[dict[str, Any]]] | None = None,
+    rows_per_table: int = 8,
+) -> SandboxResult:
+    """
+    Execute *sql* inside an isolated sandbox for the given *dialect*.
+
+    Args:
+        sql:           The SELECT query to run (may be wrapped in markdown fences).
+        dialect:       One of postgresql | mysql | mssql | bigquery | sqlite.
+        schema_info:   Output of schema_parser.parse_schema().
+        mock_data:     {table_name: [row_dict, ...]} — pre-generated synthetic rows.
+                       If None or empty, the SQLite path uses its built-in mock generator.
+        rows_per_table: Fallback row count if mock_data is empty (SQLite path).
+
+    Returns:
+        SandboxResult
+    """
+    sql = _extract_sql(sql)
+    dialect = (dialect or "sqlite").lower()
+    mock_data = mock_data or {}
+
+    if not sql:
+        return _fail(dialect, "No SQL provided to sandbox.")
+
+    if dialect == "sqlite":
+        return _run_sqlite(sql, schema_info, mock_data, rows_per_table, source_dialect=dialect)
+
+    # Attempt Docker-based sandbox; fall back to SQLite if Docker is unavailable
+    docker_available = True
+    docker_error = ""
+    try:
+        _docker_client()
+    except RuntimeError as exc:
+        docker_available = False
+        docker_error = str(exc)
+
+    if docker_available:
+        try:
+            return _run_docker(sql, dialect, schema_info, mock_data)
+        except RuntimeError as exc:
+            docker_available = False
+            docker_error = str(exc)
+
+    # ── Fallback: translate and run on SQLite ─────────────────────────
+    warnings = [
+        f"Docker is not available locally. Falling back to SQLite sandbox "
+        f"(query auto-translated from {dialect.upper()} via sqlglot).",
+        f"Docker error: {docker_error}",
+    ]
+    result = _run_sqlite(sql, schema_info, mock_data, rows_per_table, source_dialect=dialect)
+    result.dialect = dialect  # Report the original dialect
+    result.warnings = warnings + result.warnings
+    return result
+
+
+# ---------------------------------------------------------------------------
+# SQLite path (uses pre-generated mock_data or falls back to built-in generator)
+# ---------------------------------------------------------------------------
+
+def _normalize_sqlite_type(raw: str) -> str:
+    """Normalize a raw type string to a sqlite storage class."""
+    t = (raw or "").upper()
+    if any(x in t for x in ("BOOL", "BOOLEAN", "TINYINT(1)", "BIT")):
+        return "INTEGER"
+    if any(x in t for x in ("INT", "SERIAL", "BIGINT", "SMALLINT", "TINYINT")):
+        return "INTEGER"
+    if any(x in t for x in ("DECIMAL", "NUMERIC", "REAL", "DOUBLE", "FLOAT", "MONEY")):
+        return "REAL"
+    return "TEXT"
+
+
+def _sqlite_type(raw: str) -> str:
+    return _normalize_sqlite_type(raw)
+
+
+def _strip_id(name: str) -> str:
+    return re.sub(r"[^a-zA-Z0-9_]", "", name or "")
+
+
+def _qid(name: str) -> str:
+    return f'"{_strip_id(name)}"'
+
+
+def _mock_value(table: str, column: str, raw_type: str, row_index: int) -> Any:
+    """Deterministic mock value used as fallback when mock_data is empty."""
+    name = column.lower()
+    raw_upper = (raw_type or "").upper()
+
+    enum_match = re.search(r"\b(?:ENUM|SET)\s*\((.*?)\)", raw_type or "", re.IGNORECASE | re.DOTALL)
+    if enum_match:
+        values = re.findall(r"'((?:\\'|[^'])*)'|\"((?:\\\"|[^\"])*)\"", enum_match.group(1))
+        enum_vals = [a or b for a, b in values if (a or b)]
+        enum_vals = [v.replace("\\'", "'").replace('\\"', '"') for v in enum_vals]
+        if enum_vals:
+            if "status" in name:
+                preferred = [
+                    v for v in enum_vals
+                    if any(k in v.lower() for k in ("active", "pending", "trial", "paid", "free"))
+                ]
+                if preferred:
+                    return preferred[(row_index - 1) % len(preferred)]
+            return enum_vals[(row_index - 1) % len(enum_vals)]
+
+    if any(x in raw_upper for x in ("BOOL", "BOOLEAN", "BIT", "TINYINT(1)")):
+        return bool(row_index % 2)
+
+    if raw_upper.startswith("TIME") and "TIMESTAMP" not in raw_upper and "DATETIME" not in raw_upper:
+        return f"{(row_index * 3) % 24:02d}:{(row_index * 7) % 60:02d}:00"
+
+    varchar_match = re.search(r"\b(?:VARCHAR|CHAR|NVARCHAR|NCHAR)\s*\(\s*(\d+)\s*\)", raw_type or "", re.IGNORECASE)
+    varchar_limit = int(varchar_match.group(1)) if varchar_match else None
+
+    def clip_text(value: str) -> str:
+        return value[:varchar_limit] if varchar_limit is not None else value
+
+    if name == "id" or name.endswith("_id"):
+        return row_index
+    if "email" in name:
+        return clip_text(f"{table}{row_index}@example.test")
+    if "name" in name or "title" in name:
+        return clip_text(f"{table.title()} {row_index}")
+    if "status" in name:
+        return ["active", "pending", "archived"][row_index % 3]
+    if "category" in name or "type" in name:
+        return ["standard", "premium", "trial"][row_index % 3]
+    if "created" in name or "updated" in name or "date" in name or "time" in name:
+        return (time.strftime("%Y-%m-%d %H:%M:%S", time.gmtime(1700000000 + row_index * 86400)))
+    if "price" in name or "amount" in name or "total" in name or "salary" in name:
+        return round(19.5 + row_index * 7.25, 2)
+    if "count" in name or "qty" in name or "quantity" in name:
+        return row_index * 2
+    # Type-based fallbacks using normalised categories
+    storage_type = _normalize_sqlite_type(raw_type)
+    if storage_type == "INTEGER":
+        return row_index * 10
+    if storage_type == "REAL":
+        return round(row_index * 3.14, 2)
+    if "TIMESTAMP" in raw_upper or "DATETIME" in raw_upper:
+        return time.strftime("%Y-%m-%d %H:%M:%S", time.gmtime(1700000000 + row_index * 86400))
+    if "DATE" in raw_upper:
+        return time.strftime("%Y-%m-%d", time.gmtime(1700000000 + row_index * 86400))
+    if "created" in name or "updated" in name or "date" in name or "time" in name:
+        return time.strftime("%Y-%m-%d %H:%M:%S", time.gmtime(1700000000 + row_index * 86400))
+    return clip_text(f"{column}_{row_index}")
+
+
+def _build_sqlite_db(
+    conn: sqlite3.Connection,
+    schema_info: dict,
+    mock_data: dict[str, list[dict[str, Any]]],
+    rows_per_table: int,
+) -> dict[str, list[dict[str, Any]]]:
+    """Create tables and insert data. Returns mock_preview dict."""
+    # Disable FK enforcement during load so insertion order doesn't matter
+    conn.execute("PRAGMA foreign_keys = OFF")
+    tables = schema_info.get("tables") or {}
+    mock_preview: dict[str, list[dict[str, Any]]] = {}
+
+    for tname, tinfo in tables.items():
+        cols = tinfo.get("columns") or {}
+        if not cols:
+            continue
+        col_defs = ", ".join(
+            f"{_qid(c)} {_sqlite_type(info.get('type', ''))}"
+            for c, info in cols.items()
+        )
+        conn.execute(f"CREATE TABLE {_qid(tname)} ({col_defs})")
+
+    for tname, tinfo in tables.items():
+        cols = tinfo.get("columns") or {}
+        if not cols:
+            continue
+
+        if mock_data and tname in mock_data and mock_data[tname]:
+            rows = mock_data[tname]
+            col_names = list(rows[0].keys())
+            ph = ", ".join(["?"] * len(col_names))
+            insert_sql = (
+                f"INSERT INTO {_qid(tname)} "
+                f"({', '.join(_qid(c) for c in col_names)}) "
+                f"VALUES ({ph})"
+            )
+            for row in rows:
+                conn.execute(insert_sql, [row.get(c) for c in col_names])
+        else:
+            col_names = list(cols.keys())
+            ph = ", ".join(["?"] * len(col_names))
+            insert_sql = (
+                f"INSERT INTO {_qid(tname)} "
+                f"({', '.join(_qid(c) for c in col_names)}) "
+                f"VALUES ({ph})"
+            )
+            rows = []
+            for row_idx in range(1, rows_per_table + 1):
+                row = {
+                    col: _mock_value(tname, col, cols[col].get("type", ""), row_idx)
+                    for col in col_names
+                }
+                rows.append(row)
+                conn.execute(insert_sql, [row[col] for col in col_names])
+        mock_preview[tname] = rows[:3]
+
+    conn.commit()
+    # Re-enable FK enforcement before the user query runs
+    conn.execute("PRAGMA foreign_keys = ON")
+    return mock_preview
+
+
+def _run_sqlite(
+    sql: str,
+    schema_info: dict,
+    mock_data: dict[str, list[dict[str, Any]]],
+    rows_per_table: int,
+    source_dialect: str = "postgresql",
+) -> SandboxResult:
+    warnings: list[str] = []
+
+    # Translate to SQLite using the actual source dialect
+    read_dialect = _SQLGLOT_DIALECT_MAP.get(source_dialect.lower(), "postgres")
+    try:
+        import sqlglot
+        translated_list = sqlglot.transpile(sql, read=read_dialect, write="sqlite")
+        sqlite_sql = ";\n".join(translated_list) if translated_list else sql
+        if sqlite_sql != sql:
+            warnings.append("Query was auto-translated from the source dialect to SQLite.")
+    except Exception:
+        sqlite_sql = sql
+
+    conn = sqlite3.connect(":memory:")
+    conn.row_factory = sqlite3.Row
+    mock_preview: dict[str, list[dict[str, Any]]] = {}
+
+    try:
+        mock_preview = _build_sqlite_db(conn, schema_info, mock_data, rows_per_table)
+
+        t0 = time.monotonic()
+        cursor = conn.execute(sqlite_sql)
+        rows_out = [dict(r) for r in cursor.fetchmany(_MAX_ROWS)]
+        duration_ms = int((time.monotonic() - t0) * 1000)
+        columns = [d[0] for d in (cursor.description or [])]
+
+        return SandboxResult(
+            ok=True, columns=columns, rows=rows_out, error="",
+            dialect="sqlite", warnings=warnings,
+            duration_ms=duration_ms, mock_preview=mock_preview,
+        )
+    except Exception as exc:
+        return _fail("sqlite", str(exc), warnings)
+    finally:
+        try:
+            conn.close()
+        except Exception:
+            pass
+
+
+# ---------------------------------------------------------------------------
+# Docker path
+# ---------------------------------------------------------------------------
+
+def _docker_client():
+    """Lazy import so the tool still loads when docker-py isn't installed."""
+    try:
+        import docker
+        return docker.from_env()
+    except Exception as exc:
+        raise RuntimeError(
+            "docker-py is not available or Docker socket is not accessible. "
+            "Make sure the runner container has /var/run/docker.sock mounted and "
+            "'docker>=7.0.0' is in requirements.txt."
+        ) from exc
+
+
+def _in_docker() -> bool:
+    return os.path.exists("/.dockerenv")
+
+
+def _sandbox_host() -> str:
+    override = os.getenv("SANDBOX_HOST")
+    if override:
+        return override
+    if _in_docker():
+        try:
+            import socket
+            socket.gethostbyname("host.docker.internal")
+            return "host.docker.internal"
+        except Exception:
+            return "172.17.0.1"
+    return "127.0.0.1"
+
+
+@contextmanager
+def _ephemeral_container(
+    image: str,
+    env: dict[str, str],
+    ports: dict[str, int | None],
+    dialect: str,
+    command: str | None = None,
+) -> Generator[Any, None, None]:
+    """Spin up a Docker container, yield it, then always remove it.
+
+    Data directories are mounted as tmpfs (RAM-only) so no anonymous
+    Docker volumes are created and no disk space accumulates between runs.
+    """
+    client = _docker_client()
+    container = None
+    mem_limit = _MEMORY_LIMITS.get(dialect, "512m")
+
+    # Build tmpfs mounts for this dialect (prevents anonymous volume creation)
+    tmpfs: dict[str, str] = {}
+    data_dir = _TMPFS_MOUNTS.get(dialect)
+    if data_dir:
+        tmpfs = {data_dir: "rw,noexec,nosuid,size=512m"}
+
+    try:
+        container = client.containers.run(
+            image,
+            command=command,
+            environment=env,
+            ports=ports,
+            detach=True,
+            remove=False,          # manual removal needed to inspect port bindings first
+            mem_limit=mem_limit,
+            nano_cpus=_NANO_CPU_LIMIT,
+            network_mode="bridge",
+            tmpfs=tmpfs,           # ← RAM-only data dir; no Docker volume created
+        )
+        yield container
+    finally:
+        if container:
+            try:
+                container.stop(timeout=5)
+            except Exception:
+                pass
+            try:
+                # v=True removes any anonymous volumes attached to this container.
+                # This is the safety net in case tmpfs wasn't used (e.g. bigquery).
+                container.remove(force=True, v=True)
+            except Exception:
+                pass
+
+
+def _wait_for_port(host: str, port: int, timeout: int = _CONNECT_TIMEOUT) -> None:
+    """Block until a TCP connection succeeds or timeout is reached."""
+    import socket
+    deadline = time.monotonic() + timeout
+    last_exc: Exception | None = None
+    while time.monotonic() < deadline:
+        try:
+            with socket.create_connection((host, port), timeout=2):
+                return
+        except Exception as exc:
+            last_exc = exc
+            time.sleep(1)
+    raise TimeoutError(
+        f"Service at {host}:{port} did not become ready within {timeout}s. "
+        f"Last error: {last_exc}"
+    )
+
+
+def _get_host_port(container, internal_port: str) -> int:
+    container.reload()
+    bindings = container.ports.get(internal_port) or []
+    if not bindings:
+        raise RuntimeError(f"No host port bound for {internal_port}")
+    return int(bindings[0]["HostPort"])
+
+
+def _run_docker(
+    sql: str,
+    dialect: str,
+    schema_info: dict,
+    mock_data: dict[str, list[dict[str, Any]]],
+) -> SandboxResult:
+    dispatch = {
+        "postgresql": _run_postgresql,
+        "mysql": _run_mysql,
+        "mssql": _run_mssql,
+        "bigquery": _run_bigquery,
+    }
+    fn = dispatch.get(dialect)
+    if not fn:
+        return _fail(dialect, f"Unsupported dialect: {dialect}")
+
+    try:
+        return fn(sql, schema_info, mock_data)
+    except Exception as exc:
+        logger.exception("Sandbox error for dialect=%s", dialect)
+        return _fail(dialect, f"Sandbox error: {exc}")
+
+
+# ---------------------------------------------------------------------------
+# PostgreSQL
+# ---------------------------------------------------------------------------
+
+def _run_postgresql(
+    sql: str,
+    schema_info: dict,
+    mock_data: dict[str, list[dict[str, Any]]],
+) -> SandboxResult:
+    db_pass = secrets.token_urlsafe(16)
+    db_name = "sandbox"
+    db_user = "sandbox"
+
+    env = {
+        "POSTGRES_PASSWORD": db_pass,
+        "POSTGRES_USER": db_user,
+        "POSTGRES_DB": db_name,
+    }
+    ports = {"5432/tcp": None}   # random host port
+
+    with _ephemeral_container("postgres:16-alpine", env, ports, "postgresql") as ctr:
+        port = _get_host_port(ctr, "5432/tcp")
+        host = _sandbox_host()
+        _wait_for_port(host, port)
+
+        import psycopg2
+        # Extra wait: postgres takes a moment after TCP accepts
+        conn = _pg_connect_with_retry(db_user, db_pass, db_name, port, host)
+        try:
+            warnings: list[str] = []
+            mock_preview: dict[str, list[dict[str, Any]]] = {}
+
+            with conn.cursor() as cur:
+                # Phase 1: DDL — commit separately so INSERT can see the tables
+                ddl = (schema_info.get("raw_ddl") or "").strip()
+                if ddl:
+                    cleaned_ddl = _strip_database_statements(ddl)
+                    cleaned_ddl = _normalize_ddl_case(cleaned_ddl, "postgresql")
+                    try:
+                        cur.execute(cleaned_ddl)
+                    except Exception as ddl_exc:
+                        # Try statement-by-statement as fallback
+                        conn.rollback()
+                        for stmt in _split_ddl(cleaned_ddl):
+                            cur.execute(stmt)
+                else:
+                    _create_tables_from_schema(cur, schema_info, "postgresql")
+                conn.commit()
+
+                # Phase 2: INSERT mock data — normalise table name case
+                schema_tables_lower = {
+                    k.lower(): k for k in (schema_info.get("tables") or {})
+                }
+                for tname, rows in (mock_data or {}).items():
+                    if not rows:
+                        continue
+                    # Resolve to the actual table name as stored in schema
+                    resolved_tname = schema_tables_lower.get(tname.lower(), tname)
+                    _insert_rows_pg(cur, resolved_tname, rows)
+                    mock_preview[resolved_tname] = rows[:3]
+                conn.commit()
+
+                # Phase 3: Execute user query
+                t0 = time.monotonic()
+                cur.execute(sql)
+                duration_ms = int((time.monotonic() - t0) * 1000)
+                rows_out = [
+                    dict(zip([d.name for d in cur.description], row))
+                    for row in (cur.fetchmany(_MAX_ROWS) if cur.description else [])
+                ]
+                columns = [d.name for d in (cur.description or [])]
+
+            return SandboxResult(
+                ok=True, columns=columns, rows=rows_out, error="",
+                dialect="postgresql", warnings=warnings,
+                duration_ms=duration_ms, mock_preview=mock_preview,
+            )
+        except Exception as exc:
+            return _fail("postgresql", str(exc))
+        finally:
+            try:
+                conn.close()
+            except Exception:
+                pass
+
+
+def _pg_connect_with_retry(user, password, dbname, port, host, retries=20):
+    import psycopg2
+    last: Exception | None = None
+    for _ in range(retries):
+        try:
+            return psycopg2.connect(
+                host=host, port=port,
+                user=user, password=password, dbname=dbname,
+                connect_timeout=3,
+            )
+        except Exception as exc:
+            last = exc
+            time.sleep(2)
+    raise RuntimeError(f"PostgreSQL did not accept connections: {last}")
+
+
+def _insert_rows_pg(cur, tname: str, rows: list[dict[str, Any]]) -> None:
+    if not rows:
+        return
+    cols = list(rows[0].keys())
+    col_list = ", ".join(f'"{c}"' for c in cols)
+    placeholders = ", ".join(["%s"] * len(cols))
+    sql = f'INSERT INTO "{tname}" ({col_list}) VALUES ({placeholders})'
+    cur.executemany(sql, [tuple(r.get(c) for c in cols) for r in rows])
+
+
+# ---------------------------------------------------------------------------
+# MySQL
+# ---------------------------------------------------------------------------
+
+def _run_mysql(
+    sql: str,
+    schema_info: dict,
+    mock_data: dict[str, list[dict[str, Any]]],
+) -> SandboxResult:
+    root_pass = secrets.token_urlsafe(16)
+    db_name = "sandbox"
+
+    env = {
+        "MYSQL_ROOT_PASSWORD": root_pass,
+        "MYSQL_DATABASE": db_name,
+    }
+    ports = {"3306/tcp": None}
+
+    with _ephemeral_container("mysql:8.4", env, ports, "mysql") as ctr:
+        port = _get_host_port(ctr, "3306/tcp")
+        host = _sandbox_host()
+        _wait_for_port(host, port)
+
+        import pymysql
+        conn = _mysql_connect_with_retry("root", root_pass, db_name, port, host)
+        try:
+            warnings: list[str] = []
+            mock_preview: dict[str, list[dict[str, Any]]] = {}
+
+            with conn:
+                with conn.cursor() as cur:
+                    # CRITICAL: Always force the correct database context first
+                    cur.execute(f"USE `{db_name}`")
+
+                    ddl = (schema_info.get("raw_ddl") or "").strip()
+                    if ddl:
+                        # Strip CREATE DATABASE / USE statements from user DDL
+                        # to avoid conflicting with sandbox database context
+                        cleaned_ddl = _strip_database_statements(ddl)
+                        cleaned_ddl = _normalize_ddl_case(cleaned_ddl, "mysql")
+                        for stmt in _split_ddl(cleaned_ddl):
+                            cur.execute(stmt)
+                    else:
+                        _create_tables_from_schema(cur, schema_info, "mysql")
+
+                    for tname, rows in (mock_data or {}).items():
+                        if not rows:
+                            continue
+                        resolved_tname = _resolve_table_name(tname, schema_info)
+                        _insert_rows_mysql(cur, resolved_tname, rows)
+                        mock_preview[resolved_tname] = rows[:3]
+
+                    t0 = time.monotonic()
+                    cur.execute(sql)
+                    duration_ms = int((time.monotonic() - t0) * 1000)
+                    rows_raw = cur.fetchmany(_MAX_ROWS) if cur.description else []
+                    columns = [d[0] for d in (cur.description or [])]
+                    rows_out = [dict(zip(columns, row)) for row in rows_raw]
+
+            return SandboxResult(
+                ok=True, columns=columns, rows=rows_out, error="",
+                dialect="mysql", warnings=warnings,
+                duration_ms=duration_ms, mock_preview=mock_preview,
+            )
+        except Exception as exc:
+            return _fail("mysql", str(exc))
+        finally:
+            try:
+                conn.close()
+            except Exception:
+                pass
+
+
+def _mysql_connect_with_retry(user, password, db, port, host, retries=30):
+    import pymysql
+    last: Exception | None = None
+    for _ in range(retries):
+        try:
+            conn = pymysql.connect(
+                host=host, port=port,
+                user=user, password=password, database=db,
+                connect_timeout=3, autocommit=True,
+            )
+            with conn.cursor() as cur:
+                cur.execute("SET SESSION sql_mode = ''")
+            return conn
+        except Exception as exc:
+            last = exc
+            time.sleep(2)
+    raise RuntimeError(f"MySQL did not accept connections: {last}")
+
+
+def _insert_rows_mysql(cur, tname: str, rows: list[dict[str, Any]]) -> None:
+    if not rows:
+        return
+    cols = list(rows[0].keys())
+    col_list = ", ".join(f"`{c}`" for c in cols)
+    placeholders = ", ".join(["%s"] * len(cols))
+    sql = f"INSERT INTO `{tname}` ({col_list}) VALUES ({placeholders})"
+    # Use tuples explicitly — more compatible across PyMySQL versions
+    data = [tuple(r.get(c) for c in cols) for r in rows]
+    cur.executemany(sql, data)
+    # Explicit commit after each table's inserts (safety for autocommit edge cases)
+    cur.connection.commit()
+
+
+
+
+# ---------------------------------------------------------------------------
+# SQL Server (MSSQL)
+# ---------------------------------------------------------------------------
+
+def _run_mssql(
+    sql: str,
+    schema_info: dict,
+    mock_data: dict[str, list[dict[str, Any]]],
+) -> SandboxResult:
+    sa_pass = "Sandbox_" + secrets.token_urlsafe(10) + "1!"
+    db_name = "sandbox"
+
+    env = {
+        "ACCEPT_EULA": "Y",
+        "SA_PASSWORD": sa_pass,
+        "MSSQL_PID": "Express",
+    }
+    ports = {"1433/tcp": None}
+    warnings = [
+        "SQL Server requires ≥2 GB RAM on the Docker host. "
+        "Startup may take 30–60 seconds."
+    ]
+
+    with _ephemeral_container(
+        "mcr.microsoft.com/mssql/server:2022-latest",
+        env, ports, "mssql",
+    ) as ctr:
+        port = _get_host_port(ctr, "1433/tcp")
+        host = _sandbox_host()
+        _wait_for_port(host, port)
+
+        import pyodbc
+        conn = _mssql_connect_with_retry(sa_pass, port, host)
+        try:
+            mock_preview: dict[str, list[dict[str, Any]]] = {}
+
+            with conn:
+                cur = conn.cursor()
+                cur.execute(f"IF DB_ID('{db_name}') IS NULL CREATE DATABASE [{db_name}]")
+                cur.execute(f"USE [{db_name}]")
+
+                ddl = (schema_info.get("raw_ddl") or "").strip()
+                if ddl:
+                    # Strip CREATE DATABASE / USE / DROP DATABASE from user DDL
+                    cleaned_ddl = _strip_database_statements(ddl)
+                    cleaned_ddl = _normalize_ddl_case(cleaned_ddl, "mssql")
+                    # Translate to T-SQL using the correct source dialect
+                    # _normalize_ddl_case already re-generates via sqlglot so
+                    # the DDL is now in a canonical form; translate each stmt
+                    try:
+                        import sqlglot as _sg
+                        for stmt in _split_ddl(cleaned_ddl):
+                            translated_stmts = _sg.transpile(
+                                stmt, read="mysql", write="tsql"
+                            )
+                            for t in translated_stmts:
+                                if t.strip():
+                                    cur.execute(t)
+                    except Exception:
+                        for stmt in _split_ddl(cleaned_ddl):
+                            if stmt.strip():
+                                cur.execute(stmt)
+                else:
+                    _create_tables_from_schema(cur, schema_info, "mssql")
+
+                for tname, rows in (mock_data or {}).items():
+                    if not rows:
+                        continue
+                    resolved_tname = _resolve_table_name(tname, schema_info)
+                    _insert_rows_mssql(cur, resolved_tname, rows)
+                    mock_preview[resolved_tname] = rows[:3]
+
+                conn.commit()
+
+                t0 = time.monotonic()
+                cur.execute(sql)
+                duration_ms = int((time.monotonic() - t0) * 1000)
+                rows_raw = cur.fetchmany(_MAX_ROWS) if cur.description else []
+                columns = [d[0] for d in (cur.description or [])]
+                rows_out = [dict(zip(columns, row)) for row in rows_raw]
+
+            return SandboxResult(
+                ok=True, columns=columns, rows=rows_out, error="",
+                dialect="mssql", warnings=warnings,
+                duration_ms=duration_ms, mock_preview=mock_preview,
+            )
+        except Exception as exc:
+            return _fail("mssql", str(exc), warnings)
+        finally:
+            try:
+                conn.close()
+            except Exception:
+                pass
+
+
+def _mssql_connect_with_retry(sa_pass, port, host, retries=40):
+    import pyodbc
+    conn_str = (
+        f"DRIVER={{ODBC Driver 18 for SQL Server}};"
+        f"SERVER={host},{port};"
+        f"UID=sa;PWD={sa_pass};"
+        f"TrustServerCertificate=yes;"
+        f"Connection Timeout=3;"
+    )
+    last: Exception | None = None
+    for _ in range(retries):
+        try:
+            return pyodbc.connect(conn_str, autocommit=False)
+        except Exception as exc:
+            last = exc
+            time.sleep(3)
+    raise RuntimeError(f"SQL Server did not accept connections: {last}")
+
+
+def _insert_rows_mssql(cur, tname: str, rows: list[dict[str, Any]]) -> None:
+    if not rows:
+        return
+    cols = list(rows[0].keys())
+    col_list = ", ".join(f"[{c}]" for c in cols)
+    placeholders = ", ".join(["?"] * len(cols))
+    sql = f"INSERT INTO [{tname}] ({col_list}) VALUES ({placeholders})"
+    cur.executemany(sql, [[r.get(c) for c in cols] for r in rows])
+
+
+# ---------------------------------------------------------------------------
+# BigQuery emulator
+# ---------------------------------------------------------------------------
+
+def _run_bigquery(
+    sql: str,
+    schema_info: dict,
+    mock_data: dict[str, list[dict[str, Any]]],
+) -> SandboxResult:
+    project = "sandbox-project"
+    dataset = "sandbox_dataset"
+
+    env = {"BIGQUERY_EMULATOR_PROJECT": project}
+    ports = {"9050/tcp": None, "9060/tcp": None}
+
+    with _ephemeral_container(
+        "ghcr.io/goccy/bigquery-emulator:latest",
+        env, ports, "bigquery",
+        command=f"--project={project} --data-from-query-emulation",
+    ) as ctr:
+        grpc_port = _get_host_port(ctr, "9050/tcp")
+        host = _sandbox_host()
+        _wait_for_port(host, grpc_port, timeout=30)
+
+        try:
+            from google.cloud import bigquery
+            from google.api_core.client_options import ClientOptions
+            from google.auth.credentials import AnonymousCredentials
+
+            client = bigquery.Client(
+                project=project,
+                credentials=AnonymousCredentials(),
+                client_options=ClientOptions(
+                    api_endpoint=f"http://{host}:{grpc_port}"
+                ),
+            )
+
+            warnings: list[str] = []
+            mock_preview: dict[str, list[dict[str, Any]]] = {}
+
+            # Create dataset
+            client.create_dataset(
+                bigquery.Dataset(f"{project}.{dataset}"), exists_ok=True
+            )
+
+            # Create tables and load data
+            tables = schema_info.get("tables") or {}
+            for tname, tinfo in tables.items():
+                cols_info = tinfo.get("columns") or {}
+                bq_schema = [
+                    bigquery.SchemaField(cname, _bq_type(cinfo.get("type", "")))
+                    for cname, cinfo in cols_info.items()
+                ]
+                table_ref = f"{project}.{dataset}.{tname}"
+                tbl = bigquery.Table(table_ref, schema=bq_schema)
+                client.create_table(tbl, exists_ok=True)
+
+                rows = mock_data.get(tname) or mock_data.get(tname.lower()) or []
+                if rows:
+                    client.insert_rows_json(table_ref, rows)
+                    mock_preview[tname] = rows[:3]
+
+            # Execute query — rewrite table refs to include project.dataset
+            bq_sql = _rewrite_bq_refs(sql, dataset, project)
+
+            t0 = time.monotonic()
+            query_job = client.query(bq_sql)
+            result = query_job.result(timeout=_QUERY_TIMEOUT)
+            duration_ms = int((time.monotonic() - t0) * 1000)
+
+            columns = [f.name for f in result.schema]
+            rows_out = [dict(row) for row in list(result)[:_MAX_ROWS]]
+
+            return SandboxResult(
+                ok=True, columns=columns, rows=rows_out, error="",
+                dialect="bigquery", warnings=warnings,
+                duration_ms=duration_ms, mock_preview=mock_preview,
+            )
+        except Exception as exc:
+            return _fail("bigquery", str(exc))
+
+
+def _bq_type(raw: str) -> str:
+    t = (raw or "").upper()
+    if any(x in t for x in ("INT", "SERIAL", "BIGINT")):
+        return "INT64"
+    if any(x in t for x in ("FLOAT", "DOUBLE", "REAL", "NUMERIC", "DECIMAL")):
+        return "FLOAT64"
+    if "BOOL" in t:
+        return "BOOL"
+    if any(x in t for x in ("DATE",)) and "TIME" not in t:
+        return "DATE"
+    if "TIMESTAMP" in t or "DATETIME" in t:
+        return "TIMESTAMP"
+    return "STRING"
+
+
+def _rewrite_bq_refs(sql: str, dataset: str, project: str) -> str:
+    """Prefix bare table names with project.dataset for BigQuery."""
+    def replacer(m: re.Match) -> str:
+        kw = m.group(1)
+        tname = m.group(2)
+        if "." not in tname:
+            return f"{kw} `{project}.{dataset}.{tname}`"
+        return m.group(0)
+
+    return re.sub(
+        r"\b(FROM|JOIN)\s+([`\"]?[a-zA-Z_][a-zA-Z0-9_]*[`\"]?)",
+        replacer,
+        sql,
+        flags=re.IGNORECASE,
+    )
+
+
+# ---------------------------------------------------------------------------
+# Shared helpers
+# ---------------------------------------------------------------------------
+
+def _split_ddl(ddl: str) -> list[str]:
+    """
+    Split DDL into individual statements, filtering empty results
+    and stripping inline comments to avoid parse errors.
+    Does NOT split on semicolons inside quoted strings.
+    """
+    # Remove single-line comments
+    ddl = re.sub(r"--[^\n]*", "", ddl)
+    # Remove multi-line comments
+    ddl = re.sub(r"/\*.*?\*/", "", ddl, flags=re.DOTALL)
+    statements = [s.strip() for s in ddl.split(";") if s.strip()]
+    return statements
+
+
+def _create_tables_from_schema(cur, schema_info: dict, dialect: str) -> None:
+    """Fallback: generate CREATE TABLE statements from parsed schema dict."""
+    tables = schema_info.get("tables") or {}
+    for tname, tinfo in tables.items():
+        cols = tinfo.get("columns") or {}
+        if not cols:
+            continue
+        col_defs = []
+        for cname, cinfo in cols.items():
+            ctype = _portable_type(cinfo.get("type", ""), dialect)
+            null_clause = " NOT NULL" if cinfo.get("not_null") else ""
+            # Use dialect-appropriate quoting for identifiers
+            col_defs.append(f"  {_quote_id(cname, dialect)} {ctype}{null_clause}")
+        create_sql = (
+            f"CREATE TABLE {_quote_id(tname, dialect)} (\n"
+            + ",\n".join(col_defs)
+            + "\n)"
+        )
+        cur.execute(create_sql)
+
+
+def _portable_type(raw: str, dialect: str) -> str:
+    """Map a type string to a safe, dialect-compatible equivalent."""
+    t = (raw or "").upper()
+    if any(x in t for x in ("SERIAL", "BIGSERIAL")):
+        mapping = {
+            "postgresql": "SERIAL", "mysql": "INT AUTO_INCREMENT",
+            "mssql": "INT IDENTITY(1,1)", "bigquery": "INT64",
+        }
+        return mapping.get(dialect, "INTEGER")
+    if any(x in t for x in ("BIGINT",)):
+        return {"bigquery": "INT64"}.get(dialect, "BIGINT")
+    if any(x in t for x in ("INT",)):
+        return {"bigquery": "INT64"}.get(dialect, "INT")
+    if any(x in t for x in ("DECIMAL", "NUMERIC")):
+        return {"bigquery": "FLOAT64"}.get(dialect, raw or "DECIMAL(18,4)")
+    if any(x in t for x in ("FLOAT", "DOUBLE", "REAL")):
+        return {"bigquery": "FLOAT64"}.get(dialect, "FLOAT")
+    if "BOOL" in t:
+        return {"mssql": "BIT", "mysql": "TINYINT(1)", "bigquery": "BOOL"}.get(dialect, "BOOLEAN")
+    if "TIMESTAMP" in t:
+        return {"mssql": "DATETIME2", "bigquery": "TIMESTAMP", "mysql": "DATETIME"}.get(dialect, "TIMESTAMP")
+    if "TEXT" in t:
+        return {"mssql": "NVARCHAR(MAX)", "bigquery": "STRING"}.get(dialect, "TEXT")
+    if "VARCHAR" in t:
+        return {"bigquery": "STRING", "mssql": "NVARCHAR(255)"}.get(dialect, raw or "VARCHAR(255)")
+    return {"bigquery": "STRING"}.get(dialect, raw or "TEXT")
+
+
+# ---------------------------------------------------------------------------
+# Markdown formatter
+# ---------------------------------------------------------------------------
+
+def sandbox_markdown(result: SandboxResult) -> str:
+    status = "✅ passed" if result.ok else "❌ failed"
+    lines = [
+        "\n\n## Sandbox Test",
+        f"**Dialect:** {result.dialect.upper()} &nbsp;|&nbsp; "
+        f"**Status:** {status} &nbsp;|&nbsp; "
+        f"**Time:** {result.duration_ms} ms",
+    ]
+
+    if result.error:
+        lines += ["", f"**Error:** `{result.error}`"]
+
+    for w in result.warnings:
+        lines += ["", f"⚠️ {w}"]
+
+    if result.ok:
+        rows = result.rows
+        cols = result.columns
+        lines += ["", f"**Rows returned:** {len(rows)}"]
+        if cols:
+            lines += ["", _md_table(cols, rows)]
+
+    if result.mock_preview:
+        lines += ["", "### Mock Data Preview"]
+        for tname, rows in result.mock_preview.items():
+            lines += [
+                "", f"**{tname}**", "",
+                "```json",
+                json.dumps(rows, ensure_ascii=False, indent=2, default=str),
+                "```",
+            ]
+
+    return "\n".join(lines)
+
+
+def _md_table(columns: list[str], rows: list[dict[str, Any]]) -> str:
+    def cell(v: Any) -> str:
+        return str(v if v is not None else "").replace("|", "\\|").replace("\n", " ")
+
+    header = "| " + " | ".join(columns) + " |"
+    sep    = "| " + " | ".join("---" for _ in columns) + " |"
+    body   = [
+        "| " + " | ".join(cell(row.get(c)) for c in columns) + " |"
+        for row in rows[:20]
+    ]
+    return "\n".join([header, sep] + body)
diff --git a/services/python-tools/tools/sql-converter/schema_parser.py b/services/python-tools/tools/sql-converter/schema_parser.py
new file mode 100644
index 0000000..7c41e0d
--- /dev/null
+++ b/services/python-tools/tools/sql-converter/schema_parser.py
@@ -0,0 +1,117 @@
+"""
+Programmatic schema parser — no LLM call.
+Parses CREATE TABLE statements using sqlglot to extract:
+  - table names
+  - column names and data types
+  - primary keys, foreign keys, NOT NULL constraints
+"""
+import sqlglot
+from sqlglot import exp
+
+
+def _extract_fk(fk: exp.ForeignKey, columns: list[str]) -> dict:
+    ref_table = None
+    ref_columns: list[str] = []
+    ref = fk.args.get("reference")
+    if isinstance(ref, exp.Reference):
+        ref_table_expr = ref.this if isinstance(ref.this, exp.Table) else ref.find(exp.Table)
+        if ref_table_expr is not None:
+            ref_table = ref_table_expr.name.lower()
+        ref_columns = [c.name.lower() for c in ref.find_all(exp.Column)]
+
+    return {
+        "columns": columns,
+        "references": {"table": ref_table, "columns": ref_columns},
+    }
+
+
+def parse_schema(ddl: str) -> dict:
+    """
+    Args:
+        ddl: Raw DDL string (one or more CREATE TABLE statements).
+    Returns:
+        {
+          "tables": {
+            "table_name": {
+              "columns": {
+                "column_name": {
+                  "type": "VARCHAR(255)",
+                  "not_null": True,
+                },
+              },
+              "primary_keys": ["id"],
+              "foreign_keys": [
+                {"columns": ["user_id"], "references": {"table": "users", "columns": ["id"]}},
+              ],
+            },
+          },
+          "table_names": ["table_name"],
+          "raw_ddl": "..."
+        }
+    Returns {"tables": {}, "table_names": [], "raw_ddl": ddl} on parse failure.
+    """
+    result = {"tables": {}, "table_names": [], "raw_ddl": ddl or ""}
+    if not ddl or not ddl.strip():
+        return result
+
+    try:
+        statements = sqlglot.parse(ddl)
+    except Exception:
+        return result
+
+    for stmt in statements:
+        if not isinstance(stmt, exp.Create):
+            continue
+        # Only process CREATE TABLE — skip DATABASE, SCHEMA, INDEX, VIEW, etc.
+        kind = stmt.args.get("kind")
+        if kind != "TABLE":
+            continue
+        table_expr = stmt.find(exp.Table)
+        if table_expr is None:
+            continue
+        table_name = table_expr.name.lower()
+        columns: dict = {}
+        pks: list[str] = []
+        fks: list[dict] = []
+
+        for col_def in stmt.find_all(exp.ColumnDef):
+            col_name = col_def.name.lower()
+            data_type_expr = col_def.args.get("kind")
+            data_type = data_type_expr.sql() if data_type_expr is not None else ""
+            not_null = False
+
+            for constraint in col_def.find_all(exp.ColumnConstraint):
+                c = constraint.this
+                if isinstance(c, exp.NotNullColumnConstraint):
+                    not_null = True
+                elif isinstance(c, exp.PrimaryKeyColumnConstraint):
+                    if col_name not in pks:
+                        pks.append(col_name)
+                elif isinstance(c, exp.ForeignKey):
+                    fks.append(_extract_fk(c, [col_name]))
+
+            columns[col_name] = {
+                "type": data_type,
+                "not_null": not_null,
+            }
+
+        # Table-level PRIMARY KEY / FOREIGN KEY constraints
+        for constraint in stmt.find_all(exp.PrimaryKey):
+            for col_expr in constraint.find_all(exp.Column):
+                col_name = col_expr.name.lower()
+                if col_name not in pks:
+                    pks.append(col_name)
+
+        for fk in stmt.find_all(exp.ForeignKey):
+            fk_cols = [c.name.lower() for c in fk.find_all(exp.Column)]
+            if fk_cols:
+                fks.append(_extract_fk(fk, fk_cols))
+
+        result["tables"][table_name] = {
+            "columns": columns,
+            "primary_keys": pks,
+            "foreign_keys": fks,
+        }
+
+    result["table_names"] = list(result["tables"].keys())
+    return result
diff --git a/services/python-tools/tools/sql-converter/sql_generator.py b/services/python-tools/tools/sql-converter/sql_generator.py
new file mode 100644
index 0000000..c3db0c3
--- /dev/null
+++ b/services/python-tools/tools/sql-converter/sql_generator.py
@@ -0,0 +1,80 @@
+"""
+SQL Generator — produces dialect-specific SQL from the structured query plan.
+
+Model routing:
+  - simple / moderate  → qwen-3-coder-30b   (fast, accurate for standard SQL)
+  - complex            → deepseek-r1-0528    (reasoning model for analytical queries)
+"""
+from llm_client import call_oxlo_chat
+
+GENERATOR_MODEL_DEFAULT = "qwen-3-coder-30b"
+GENERATOR_MODEL_COMPLEX = "deepseek-r1-0528"
+
+_SYSTEM_TEMPLATE = """\
+You are an expert {dialect} developer.
+Generate a single, correct SQL query for the following request.
+
+Rules:
+1. Output ONLY a fenced SQL code block — nothing else before the opening fence.
+2. Use {dialect}-specific syntax strictly (e.g. ILIKE for PostgreSQL, IFNULL for MySQL).
+3. If a schema is provided, use ONLY the table and column names that appear in it.
+4. Add inline comments for non-obvious logic.
+5. After the code block, output:
+   ## Explanation
+   (step-by-step description)
+   ## Performance Notes
+   (indexing suggestions, join order, etc.)
+   ## Dialect Notes
+   (any {dialect}-specific caveats)
+"""
+
+
+async def generate_sql(
+    query: str,
+    intent: dict,
+    schema_info: dict,
+    dialect: str,
+) -> str:
+    """
+    Args:
+        query:       Original natural language request.
+        intent:      Output of intent_classifier.classify_intent().
+        schema_info: Output of schema_parser.parse_schema().
+        dialect:     Target dialect string.
+    Returns:
+        Raw model response (SQL block + explanation text).
+    """
+    complexity = intent.get("complexity", "simple")
+    model = GENERATOR_MODEL_COMPLEX if complexity == "complex" else GENERATOR_MODEL_DEFAULT
+
+    schema_section = ""
+    if schema_info.get("raw_ddl", "").strip():
+        schema_section = f"\nAvailable schema:\n```sql\n{schema_info['raw_ddl']}\n```\n"
+
+    intent_section = (
+        f"Query plan:\n"
+        f"  Operation: {intent.get('operation', 'SELECT')}\n"
+        f"  Tables: {', '.join(intent.get('target_tables', []))}\n"
+        f"  Filters: {'; '.join(intent.get('filters', []))}\n"
+        f"  Aggregations: {'; '.join(intent.get('aggregations', []))}\n"
+        f"  Joins: {'; '.join(intent.get('joins', []))}\n"
+        f"  Ordering: {'; '.join(intent.get('ordering', []))}\n"
+        f"  Grouping: {'; '.join(intent.get('grouping', []))}\n"
+        f"  Limit: {intent.get('limit')}\n"
+    )
+
+    user_prompt = (
+        f"Natural language request:\n{query}\n\n"
+        f"{schema_section}\n"
+        f"{intent_section}\n"
+        "Generate the SQL query."
+    )
+
+    system = _SYSTEM_TEMPLATE.format(dialect=dialect or "PostgreSQL")
+    return await call_oxlo_chat(
+        model,
+        system,
+        user_prompt,
+        max_tokens=2048,
+        temperature=0.2,
+    )
diff --git a/services/python-tools/tools/sql-converter/sql_refiner.py b/services/python-tools/tools/sql-converter/sql_refiner.py
new file mode 100644
index 0000000..69f6c6d
--- /dev/null
+++ b/services/python-tools/tools/sql-converter/sql_refiner.py
@@ -0,0 +1,73 @@
+"""
+SQL Refiner — feeds validation errors back to the generator and retries.
+Max 2 refinement attempts. Model: qwen-3-coder-30b.
+"""
+from llm_client import call_oxlo_chat
+from sql_validator import validate_sql
+
+REFINER_MODEL = "qwen-3-coder-30b"
+
+_SYSTEM = """\
+You are an expert SQL developer fixing a broken SQL query.
+You will receive the original request, the broken SQL, and the specific errors.
+Output ONLY a corrected fenced SQL code block, followed by the same ## Explanation,
+## Performance Notes, and ## Dialect Notes sections as before.
+Do NOT repeat the errors. Just output the corrected SQL and sections.
+"""
+
+
+async def refine_sql(
+    original_query: str,
+    previous_response: str,
+    validation: dict,
+    dialect: str,
+    schema_info: dict,
+    max_retries: int = 2,
+) -> tuple[str, dict]:
+    """
+    Args:
+        original_query:    User's natural language request.
+        previous_response: Last generator output (SQL + explanation).
+        validation:        Output of validate_sql() for the previous response.
+        dialect:           Target dialect.
+        schema_info:       Parsed schema.
+        max_retries:       Maximum number of refinement attempts (default 2).
+    Returns:
+        (final_response, final_validation) — best available result after retries.
+    """
+    response = previous_response
+    val = validation
+
+    for _ in range(max_retries):
+        if val["valid"]:
+            break
+
+        errors = val["syntax_errors"] + val["schema_errors"]
+        error_summary = "\n".join(f"  - {e}" for e in errors)
+
+        schema_section = ""
+        if schema_info.get("raw_ddl", "").strip():
+            schema_section = f"\nSchema:\n```sql\n{schema_info['raw_ddl']}\n```"
+
+        user_prompt = (
+            f"Original request: {original_query}\n\n"
+            f"Previous SQL output:\n{response}\n\n"
+            f"Errors:\n{error_summary}\n"
+            f"Target dialect: {dialect}\n"
+            f"{schema_section}\n\n"
+            "Output the corrected SQL query."
+        )
+
+        try:
+            response = await call_oxlo_chat(
+                REFINER_MODEL,
+                _SYSTEM,
+                user_prompt,
+                max_tokens=2048,
+                temperature=0.2,
+            )
+            val = validate_sql(response, dialect, schema_info)
+        except Exception:
+            break
+
+    return response, val
diff --git a/services/python-tools/tools/sql-converter/sql_validator.py b/services/python-tools/tools/sql-converter/sql_validator.py
new file mode 100644
index 0000000..bb9b568
--- /dev/null
+++ b/services/python-tools/tools/sql-converter/sql_validator.py
@@ -0,0 +1,101 @@
+"""
+SQL Validator — two-phase validation:
+  Phase 1: sqlglot syntax parse for the target dialect.
+  Phase 2: Column reference check against the parsed schema (if schema provided).
+"""
+import re
+
+import sqlglot
+from sqlglot import exp
+
+# Map our dialect strings to sqlglot dialect names
+_DIALECT_MAP = {
+    "postgresql": "postgres",
+    "mysql": "mysql",
+    "sqlite": "sqlite",
+    "mssql": "tsql",
+    "bigquery": "bigquery",
+}
+
+
+def _extract_sql(response: str) -> str:
+    """Pull the first SQL code block out of a markdown response."""
+    m = re.search(r"```(?:sql)?\s*\n(.*?)```", response, re.DOTALL | re.IGNORECASE)
+    if m:
+        return m.group(1).strip()
+    lines = response.split("\n")
+    sql_lines = []
+    for line in lines:
+        if line.startswith("##"):
+            break
+        sql_lines.append(line)
+    return "\n".join(sql_lines).strip()
+
+
+def validate_sql(response: str, dialect: str, schema_info: dict) -> dict:
+    """
+    Args:
+        response:    Raw generator output (may include markdown fences + explanation).
+        dialect:     Target dialect string (e.g. "postgresql").
+        schema_info: Output of schema_parser.parse_schema().
+    Returns:
+        {
+          "valid": bool,
+          "sql": "...",
+          "syntax_errors": ["..."],
+          "schema_errors": ["..."],
+          "warnings": [],
+        }
+    """
+    sql = _extract_sql(response)
+    result = {
+        "valid": False,
+        "sql": sql,
+        "syntax_errors": [],
+        "schema_errors": [],
+        "warnings": [],
+    }
+
+    if not sql:
+        result["syntax_errors"].append("No SQL found in generator output.")
+        return result
+
+    dialect_key = _DIALECT_MAP.get(dialect.lower() if dialect else "", "postgres")
+    try:
+        parsed = sqlglot.parse(sql, dialect=dialect_key, error_level=sqlglot.ErrorLevel.RAISE)
+        if not parsed:
+            result["syntax_errors"].append("sqlglot returned no AST (empty parse result).")
+            return result
+    except sqlglot.errors.ParseError as exc:
+        result["syntax_errors"] = [str(e) for e in exc.errors]
+        return result
+
+    if schema_info and schema_info.get("table_names"):
+        known_tables = schema_info["tables"]
+        all_columns: set[str] = set()
+        for tinfo in known_tables.values():
+            all_columns.update(tinfo["columns"].keys())
+
+        for statement in parsed:
+            for col in statement.find_all(exp.Column):
+                col_name = col.name.lower() if col.name else ""
+                table_name = col.table
+                if table_name:
+                    table_key = table_name.lower()
+                    if table_key in known_tables:
+                        if col_name and col_name not in known_tables[table_key]["columns"]:
+                            result["schema_errors"].append(
+                                f"Unknown column '{table_key}.{col_name}'"
+                            )
+                    else:
+                        result["warnings"].append(
+                            f"Unrecognized table or alias '{table_name}' for column '{col.name}'"
+                        )
+                else:
+                    if col_name and col_name not in all_columns:
+                        result["warnings"].append(
+                            f"Unqualified column '{col.name}' not found in schema"
+                        )
+
+    result["valid"] = not result["syntax_errors"] and not result["schema_errors"]
+    return result
diff --git a/services/python-tools/tools/sql-converter/synthetic_data.py b/services/python-tools/tools/sql-converter/synthetic_data.py
new file mode 100644
index 0000000..6381fe5
--- /dev/null
+++ b/services/python-tools/tools/sql-converter/synthetic_data.py
@@ -0,0 +1,412 @@
+"""
+Synthetic Data Generator — produces realistic, schema-aware mock rows via LLM.
+
+The LLM receives the full DDL and returns a JSON object shaped:
+  {
+    "table1": [ {"col1": val, "col2": val, ...}, ... ],
+    "table2": [ ... ]
+  }
+
+Rows respect:
+  - Data types (integers, floats, booleans, dates)
+  - Foreign key relationships (FK column values exist in the referenced table)
+  - NOT NULL constraints
+  - Realistic domain values (emails, names, prices, statuses, etc.)
+
+Falls back to a deterministic local generator if the LLM call fails.
+"""
+from __future__ import annotations
+
+import json
+import re
+from datetime import datetime, timedelta
+from typing import Any
+
+from llm_client import call_oxlo_chat
+
+_MODEL = "qwen-3-coder-30b"
+
+
+def _enum_values(raw_type: str) -> list[str]:
+    match = re.search(r"\b(?:ENUM|SET)\s*\((.*?)\)", raw_type or "", re.IGNORECASE | re.DOTALL)
+    if not match:
+        return []
+    parts = re.findall(r"'((?:\\'|[^'])*)'|\"((?:\\\"|[^\"])*)\"", match.group(1))
+    values = [a or b for a, b in parts if (a or b)]
+    return [v.replace("\\'", "'").replace('\\"', '"') for v in values]
+
+
+def _varchar_limit(raw_type: str) -> int | None:
+    match = re.search(r"\b(?:VARCHAR|CHAR|NVARCHAR|NCHAR)\s*\(\s*(\d+)\s*\)", raw_type or "", re.IGNORECASE)
+    return int(match.group(1)) if match else None
+
+
+def _normalize_type(raw_type: str) -> str:
+    t = (raw_type or "").upper()
+    if any(x in t for x in ("BOOL", "BOOLEAN", "TINYINT(1)", "BIT")):
+        return "BOOL"
+    if any(x in t for x in ("INT", "SERIAL", "BIGINT", "SMALLINT", "TINYINT")):
+        return "INT"
+    if any(x in t for x in ("FLOAT", "DOUBLE", "REAL", "DECIMAL", "NUMERIC", "MONEY")):
+        return "FLOAT"
+    if any(x in t for x in ("DATE", "TIME", "TIMESTAMP", "DATETIME")):
+        return "DATE"
+    return "STRING"
+
+
+def _clip_text(value: str, raw_type: str) -> str:
+    limit = _varchar_limit(raw_type)
+    if limit is not None:
+        return value[:limit]
+    return value
+
+_SYSTEM = """\
+You are a database expert generating realistic synthetic test data.
+Given a SQL schema (DDL), generate coherent rows for each table.
+
+Rules:
+1. Respect all data types strictly (integers as numbers, not strings).
+2. Honour foreign key relationships — FK values must appear in the parent table.
+3. Generate diverse, realistic values (real-looking emails, names, prices, dates).
+4. Do NOT use placeholder strings like "string1", "col_1". Use domain-appropriate values.
+5. Respond ONLY with a valid JSON object — no markdown, no explanation.
+   Shape: {"table_name": [{"col": value, ...}, ...], ...}
+6. Generate exactly the number of rows requested per table.
+7. Maintain referential integrity: if orders.user_id references users.id, the values must match.
+"""
+
+
+async def generate_synthetic_data(
+    schema_info: dict,
+    dialect: str,
+    rows_per_table: int = 8,
+) -> dict[str, list[dict[str, Any]]]:
+    """
+    Call the LLM to generate synthetic rows for every table in schema_info.
+
+    Returns:
+        {table_name: [row_dict, ...]}  — or deterministic fallback on error.
+    """
+    ddl = (schema_info.get("raw_ddl") or "").strip()
+    tables = schema_info.get("tables") or {}
+
+    if not tables:
+        return {}
+
+    # Build a compact schema summary for the prompt
+    schema_summary = _build_schema_summary(schema_info)
+
+    user_prompt = (
+        f"Schema (DDL):\n```sql\n{ddl or schema_summary}\n```\n\n"
+        f"Target dialect: {dialect}\n"
+        f"Rows per table: {rows_per_table}\n\n"
+        "Generate the synthetic data JSON now."
+    )
+
+    try:
+        raw = await call_oxlo_chat(
+            _MODEL,
+            _SYSTEM,
+            user_prompt,
+            max_tokens=4096,
+            temperature=0.7,
+        )
+        data = _parse_json(raw)
+        if data and isinstance(data, dict):
+            coerced = _coerce_types(data, schema_info)
+            # Normalize table name keys to lowercase (matches schema_info)
+            coerced = {k.lower(): v for k, v in coerced.items()}
+
+            # Fill in any tables the LLM missed using the deterministic fallback
+            expected_tables = {
+                t.lower() for t in (schema_info.get("table_names") or [])
+            }
+            missing = expected_tables - set(coerced.keys())
+            if missing:
+                fallback = _deterministic_fallback(schema_info, rows_per_table)
+                for tname in missing:
+                    if tname in fallback:
+                        coerced[tname] = fallback[tname]
+
+            return coerced
+    except Exception:
+        pass
+
+    # Deterministic fallback
+    return _deterministic_fallback(schema_info, rows_per_table)
+
+
+def _build_schema_summary(schema_info: dict) -> str:
+    lines = []
+    for tname, tinfo in (schema_info.get("tables") or {}).items():
+        cols = ", ".join(
+            f"{cname} {cinfo.get('type', 'TEXT')}"
+            for cname, cinfo in (tinfo.get("columns") or {}).items()
+        )
+        fks = tinfo.get("foreign_keys") or []
+        fk_desc = "; ".join(
+            f"{','.join(fk['columns'])} -> {fk['references']['table']}({','.join(fk['references']['columns'])})"
+            for fk in fks if fk.get("columns") and fk.get("references")
+        )
+        line = f"  {tname}({cols})"
+        if fk_desc:
+            line += f"  -- FK: {fk_desc}"
+        lines.append(line)
+    return "Tables:\n" + "\n".join(lines)
+
+
+def _parse_json(text: str) -> dict | None:
+    text = text.strip()
+    # Strip markdown fences
+    text = re.sub(r"^```[a-zA-Z0-9]*\n?", "", text)
+    text = re.sub(r"```$", "", text.strip())
+    try:
+        return json.loads(text)
+    except json.JSONDecodeError:
+        m = re.search(r"\{.*\}", text, re.DOTALL)
+        if m:
+            try:
+                return json.loads(m.group(0))
+            except json.JSONDecodeError:
+                return None
+    return None
+
+
+def _coerce_types(
+    data: dict[str, list[dict]],
+    schema_info: dict,
+) -> dict[str, list[dict[str, Any]]]:
+    """Cast LLM-generated values to the correct Python types."""
+    tables = schema_info.get("tables") or {}
+    result: dict[str, list[dict[str, Any]]] = {}
+
+    for tname, rows in data.items():
+        if not isinstance(rows, list):
+            continue
+        col_types = {}
+        tname_lower = tname.lower()
+        matched_tname = next((k for k in tables if k.lower() == tname_lower), None)
+        if matched_tname:
+            col_types = {
+                cname.lower(): cinfo.get("type", "TEXT")
+                for cname, cinfo in tables[matched_tname].get("columns", {}).items()
+            }
+        result[tname] = [
+            _coerce_row({k.lower(): v for k, v in row.items()}, col_types)
+            for row in rows
+            if isinstance(row, dict)
+        ]
+
+    return result
+
+
+def _decimal_precision(raw_type: str) -> tuple[int, int] | None:
+    """
+    Parse DECIMAL(M, D) or NUMERIC(M, D) and return (M, D).
+    Returns None if the type has no explicit precision.
+    """
+    m = re.search(
+        r"\b(?:DECIMAL|NUMERIC|DEC|FIXED)\s*\(\s*(\d+)\s*,\s*(\d+)\s*\)",
+        raw_type or "",
+        re.IGNORECASE,
+    )
+    if m:
+        return int(m.group(1)), int(m.group(2))
+    return None
+
+
+def _clamp_decimal(val: float, raw_type: str) -> float:
+    """
+    Clamp a float to fit within DECIMAL(M, D).
+    e.g. DECIMAL(3, 2) -> max 9.99, min -9.99.
+    """
+    precision = _decimal_precision(raw_type)
+    if precision is None:
+        return val
+    m, d = precision
+    integer_digits = m - d
+    max_val = (10**integer_digits) - (10 ** -d)
+    return max(min(val, max_val), -max_val)
+
+
+def _coerce_row(row: dict, col_types: dict[str, str]) -> dict[str, Any]:
+    out = {}
+    for col, val in row.items():
+        raw_type = col_types.get(col) or "TEXT"
+        category = _normalize_type(raw_type)
+        enum_vals = _enum_values(raw_type)
+        if enum_vals:
+            if val is None:
+                out[col] = enum_vals[0]
+            elif str(val) in enum_vals:
+                out[col] = str(val)
+            else:
+                val_lower = str(val).lower()
+                ci_match = next((ev for ev in enum_vals if ev.lower() == val_lower), None)
+                out[col] = (
+                    ci_match
+                    if ci_match is not None
+                    else enum_vals[(hash(f"{col}:{val}") % len(enum_vals))]
+                )
+            continue
+        if category == "INT":
+            try:
+                out[col] = int(val) if val is not None else None
+            except (TypeError, ValueError):
+                out[col] = None
+        elif category == "FLOAT":
+            try:
+                f = float(val) if val is not None else None
+                out[col] = _clamp_decimal(f, raw_type) if f is not None else None
+            except (TypeError, ValueError):
+                out[col] = None
+        elif category == "BOOL":
+            if val is None:
+                out[col] = None
+            elif isinstance(val, bool):
+                out[col] = 1 if val else 0
+            elif isinstance(val, int):
+                out[col] = 1 if val else 0
+            elif isinstance(val, str):
+                out[col] = 1 if val.lower() in ("true", "1", "yes", "on") else 0
+            else:
+                out[col] = 1 if val else 0
+        elif category == "DATE":
+            out[col] = str(val) if val is not None else None
+        else:
+            out[col] = _clip_text(str(val), raw_type) if val is not None else None
+    return out
+
+
+# ---------------------------------------------------------------------------
+# Deterministic fallback (no LLM)
+# ---------------------------------------------------------------------------
+
+def _deterministic_fallback(
+    schema_info: dict,
+    rows_per_table: int,
+) -> dict[str, list[dict[str, Any]]]:
+    """
+    Generate basic but valid synthetic rows without LLM.
+    Used when the LLM call fails or returns unusable data.
+    """
+    tables = schema_info.get("tables") or {}
+    result: dict[str, list[dict[str, Any]]] = {}
+
+    # First pass: assign IDs so FK references work
+    id_map: dict[str, list[int]] = {}
+    for tname, tinfo in tables.items():
+        pks = tinfo.get("primary_keys") or []
+        if pks:
+            id_map[tname] = list(range(1, rows_per_table + 1))
+
+    for tname, tinfo in tables.items():
+        cols = tinfo.get("columns") or {}
+        fks = {
+            fk_col: fk["references"]
+            for fk in (tinfo.get("foreign_keys") or [])
+            for fk_col in fk.get("columns", [])
+            if fk.get("references")
+        }
+
+        rows = []
+        for i in range(1, rows_per_table + 1):
+            row: dict[str, Any] = {}
+            for cname, cinfo in cols.items():
+                raw_type = (cinfo.get("type") or "").upper()
+                # FK resolution
+                if cname in fks:
+                    ref = fks[cname]
+                    ref_table = ref.get("table")
+                    if ref_table and ref_table in id_map:
+                        row[cname] = id_map[ref_table][(i - 1) % len(id_map[ref_table])]
+                        continue
+                row[cname] = _mock_value(tname, cname, raw_type, i)
+            rows.append(row)
+        result[tname] = rows
+
+    # Ensure all keys are lowercase for consistency
+    return {k.lower(): v for k, v in result.items()}
+
+
+def _mock_value(table: str, column: str, raw_type: str, idx: int) -> Any:
+    name = column.lower()
+    raw_upper = (raw_type or "").upper()
+    category = _normalize_type(raw_type)
+    enum_vals = _enum_values(raw_type)
+
+    if enum_vals:
+        if "status" in name:
+            preferred = [
+                v for v in enum_vals
+                if any(k in v.lower() for k in ("active", "pending", "trial", "paid", "free"))
+                ]
+            if preferred:
+                return preferred[(idx - 1) % len(preferred)]
+        return enum_vals[(idx - 1) % len(enum_vals)]
+
+    if category == "BOOL":
+        return bool(idx % 2)
+
+    if raw_upper.startswith("TIME") and "TIMESTAMP" not in raw_upper and "DATETIME" not in raw_upper:
+        return f"{(idx * 3) % 24:02d}:{(idx * 7) % 60:02d}:00"
+
+    # Identity / PK
+    if name == "id" or name.endswith("_id") and "fk" not in name:
+        return idx
+    # Semantic heuristics
+    if "email" in name:
+        return f"user{idx}@example.test"
+    if "username" in name or "login" in name:
+        return f"user_{idx}"
+    if "first_name" in name or name == "firstname":
+        names = ["Alice", "Bob", "Carol", "Dave", "Eve", "Frank", "Grace", "Hank"]
+        return names[(idx - 1) % len(names)]
+    if "last_name" in name or name == "lastname":
+        surnames = ["Smith", "Jones", "Williams", "Brown", "Davis", "Miller", "Wilson", "Moore"]
+        return surnames[(idx - 1) % len(surnames)]
+    if "name" in name or "title" in name:
+        return _clip_text(f"{table.title()} {idx}", raw_type)
+    if "phone" in name:
+        return f"+1-555-{idx:04d}"
+    if "address" in name or "street" in name:
+        return _clip_text(f"{idx * 10} Main Street", raw_type)
+    if "city" in name:
+        cities = ["New York", "London", "Paris", "Tokyo", "Berlin"]
+        return cities[(idx - 1) % len(cities)]
+    if "country" in name:
+        return ["USA", "UK", "France", "Japan", "Germany"][(idx - 1) % 5]
+    if "status" in name:
+        return ["active", "pending", "archived"][(idx - 1) % 3]
+    if "category" in name or "type" in name:
+        return ["standard", "premium", "trial"][(idx - 1) % 3]
+    if "price" in name or "amount" in name or "total" in name or "salary" in name:
+        return round(19.99 + idx * 7.50, 2)
+    if "count" in name or "qty" in name or "quantity" in name:
+        return idx * 2
+    if "created" in name or "updated" in name or "date" in name or "time" in name:
+        if "TIMESTAMP" in raw_upper or "DATETIME" in raw_upper:
+            return (datetime(2025, 1, 1) + timedelta(days=idx * 7)).strftime("%Y-%m-%d %H:%M:%S")
+        return (datetime(2025, 1, 1) + timedelta(days=idx * 7)).strftime("%Y-%m-%d")
+    if "description" in name or "notes" in name or "comment" in name:
+        return _clip_text(f"Sample {table} record number {idx}.", raw_type)
+    if "url" in name or "link" in name:
+        return f"https://example.com/{table}/{idx}"
+    if "image" in name or "avatar" in name or "photo" in name:
+        return f"https://cdn.example.com/{table}/{idx}.jpg"
+    if "color" in name or "colour" in name:
+        return ["#FF5733", "#33FF57", "#3357FF", "#F1C40F", "#8E44AD"][(idx - 1) % 5]
+    if "rating" in name or "score" in name:
+        return round(1 + (idx % 5), 1)
+    if "active" in name or "enabled" in name or "verified" in name:
+        return idx % 2
+    # Type-based fallbacks
+    if category == "INT":
+        return idx * 10
+    if category == "FLOAT":
+        return _clamp_decimal(round(idx * 3.14, 2), raw_type)
+    if category == "DATE":
+        if "TIMESTAMP" in raw_upper or "DATETIME" in raw_upper:
+            return (datetime(2025, 1, 1) + timedelta(days=idx * 7)).strftime("%Y-%m-%d %H:%M:%S")
+        return (datetime(2025, 1, 1) + timedelta(days=idx * 7)).strftime("%Y-%m-%d")
+    return _clip_text(f"{column}_{idx}", raw_type)
diff --git a/services/python-tools/tools/sql-converter/tool.py b/services/python-tools/tools/sql-converter/tool.py
new file mode 100644
index 0000000..ac04723
--- /dev/null
+++ b/services/python-tools/tools/sql-converter/tool.py
@@ -0,0 +1,217 @@
+"""
+SQL Converter — Multi-Agent Tool Entry Point  (v2)
+===================================================
+Pipeline:
+  1. Schema Parser      — programmatic DDL parsing (sqlglot)
+  2. Intent Classifier  — LLM: deepseek-v3.2
+  3. SQL Generator      — LLM: qwen-3-coder-30b (simple/moderate)
+                               deepseek-r1-0528   (complex)
+  4. SQL Validator      — programmatic: sqlglot + schema column check
+  5. SQL Refiner        — LLM: qwen-3-coder-30b (max 2 retries)
+  6. Synthetic Data Gen — LLM: qwen-3-coder-30b (realistic rows from schema)
+  7. Sandbox Manager    — dialect-aware execution:
+       sqlite     → in-memory SQLite (fast, no Docker)
+       postgresql → postgres:16-alpine container (ephemeral)
+       mysql      → mysql:8.4 container (ephemeral)
+       mssql      → mssql/server:2022-latest (ephemeral, >=2 GB RAM required)
+       bigquery   → bigquery-emulator container (ephemeral)
+
+Modes controlled by the `mode` field in the POST body:
+  generate  (default) — full NL->SQL pipeline + sandbox execution
+  sandbox             — skip AI generation, run a user-supplied SQL directly
+"""
+
+from intent_classifier import classify_intent
+from schema_parser import parse_schema
+from sql_generator import GENERATOR_MODEL_COMPLEX, GENERATOR_MODEL_DEFAULT, generate_sql
+from sql_refiner import refine_sql
+from sql_validator import validate_sql
+from sandbox_manager import run_sandbox, sandbox_markdown
+from synthetic_data import generate_synthetic_data
+
+MANIFEST = {
+    "id": "sql-converter",
+    "name": "Natural Language to SQL",
+    "description": (
+        "Multi-agent pipeline: schema-aware, validated, dialect-correct SQL generation "
+        "with multi-dialect sandbox execution (SQLite / PostgreSQL / MySQL / SQL Server / BigQuery)."
+    ),
+    "author": "Franci-343",
+    "version": "2.0.0",
+}
+
+
+async def run(data: dict):
+    query        = (data.get("query")        or "").strip()
+    dialect      = (data.get("dialect")      or "postgresql").strip().lower()
+    mode         = (data.get("mode")         or "generate").strip()
+    sandbox_sql  = (data.get("sandboxQuery") or "").strip()
+
+    schema_ddl      = (data.get("schema")     or "").strip()
+    schema_file_raw = (data.get("schemaFile") or "").strip()
+
+    # The "files" input type prepends: --- FILE: name.sql ---
+    if schema_file_raw:
+        lines = schema_file_raw.split("\n")
+        if lines and lines[0].startswith("--- FILE:"):
+            schema_ddl = "\n".join(lines[1:]).strip()
+        else:
+            schema_ddl = schema_file_raw
+
+    # Sandbox-only mode
+    if mode == "sandbox" or sandbox_sql:
+        return _sandbox_stream(sandbox_sql or query, dialect, schema_ddl)
+
+    # Full generation pipeline
+    return _generate_stream(query, dialect, schema_ddl)
+
+
+# ---------------------------------------------------------------------------
+# Sandbox-only stream
+# ---------------------------------------------------------------------------
+
+async def _sandbox_stream(sql: str, dialect: str, schema_ddl: str):
+    yield f"[1/3] Parsing schema for {dialect.upper()} sandbox...\n"
+
+    try:
+        schema_info = parse_schema(schema_ddl)
+    except Exception as exc:
+        yield f"[ERROR] Schema parser failed: {exc}\n"
+        return
+
+    if not schema_info.get("table_names"):
+        yield "[ERROR] No tables found in schema. Please provide a valid DDL.\n"
+        return
+
+    yield "[2/3] Generating synthetic data from schema...\n"
+    try:
+        mock_data = await generate_synthetic_data(schema_info, dialect)
+    except Exception as exc:
+        yield f"[WARN] Synthetic data generation failed ({exc}), using deterministic fallback.\n"
+        from synthetic_data import _deterministic_fallback
+        mock_data = _deterministic_fallback(schema_info, rows_per_table=8)
+
+    if dialect != "sqlite":
+        yield f"[3/3] Spinning up {dialect.upper()} sandbox container...\n"
+    else:
+        yield "[3/3] Running query in SQLite memory sandbox...\n"
+
+    result = run_sandbox(sql, dialect, schema_info, mock_data)
+
+    yield "\n---RESULT---\n"
+    yield "# SQL Sandbox Result\n"
+    yield sandbox_markdown(result)
+
+
+# ---------------------------------------------------------------------------
+# Full generation pipeline stream
+# ---------------------------------------------------------------------------
+
+async def _generate_stream(query: str, dialect: str, schema_ddl: str):
+    if not query:
+        yield "[ERROR] Query cannot be empty.\n"
+        return
+
+    yield "[1/6] Parsing schema...\n"
+    try:
+        schema_info = parse_schema(schema_ddl)
+    except Exception as exc:
+        yield f"[WARN] Schema parser failed: {exc}. Continuing without schema.\n"
+        schema_info = {"tables": {}, "table_names": [], "raw_ddl": ""}
+
+    yield "[2/6] Classifying intent...\n"
+    try:
+        intent = await classify_intent(query, schema_info, dialect)
+    except Exception as exc:
+        yield f"[WARN] Intent classifier failed: {exc}. Using defaults.\n"
+        intent = {
+            "target_tables": [], "operation": "SELECT",
+            "filters": [], "aggregations": [], "joins": [],
+            "ordering": [], "grouping": [], "limit": None,
+            "subquery_needed": False, "complexity": "simple", "ambiguities": [],
+        }
+
+    model_used = (
+        GENERATOR_MODEL_COMPLEX
+        if intent.get("complexity") == "complex"
+        else GENERATOR_MODEL_DEFAULT
+    )
+    yield f"[3/6] Generating {dialect.upper()} SQL with {model_used}...\n"
+    try:
+        raw_response = await generate_sql(query, intent, schema_info, dialect)
+    except Exception as exc:
+        yield f"[ERROR] SQL generator failed: {exc}\n"
+        return
+
+    yield "[4/6] Validating SQL...\n"
+    try:
+        validation = validate_sql(raw_response, dialect, schema_info)
+    except Exception as exc:
+        yield f"[WARN] Validator failed: {exc}. Returning unvalidated result.\n"
+        validation = {"valid": True, "sql": "", "syntax_errors": [], "schema_errors": [], "warnings": []}
+
+    if validation["syntax_errors"] or validation["schema_errors"]:
+        total_errors = len(validation["syntax_errors"]) + len(validation["schema_errors"])
+        yield f"  -> {total_errors} error(s) found. Entering refinement loop.\n"
+    else:
+        yield "  -> Validation passed.\n"
+
+    for w in validation.get("warnings", []):
+        yield f"  [WARN] {w}\n"
+
+    final_response = raw_response
+    final_validation = validation
+
+    if not validation["valid"]:
+        yield "[5/6] Refining SQL (max 2 attempts)...\n"
+        try:
+            final_response, final_validation = await refine_sql(
+                query, raw_response, validation, dialect, schema_info,
+            )
+        except Exception as exc:
+            yield f"[WARN] Refiner failed: {exc}. Returning best available result.\n"
+    else:
+        yield "[5/6] No refinement needed.\n"
+
+    for w in (final_validation.get("warnings") or []):
+        yield f"  [WARN] {w}\n"
+
+    # ── Synthetic data + sandbox ──────────────────────────────────────────
+    if schema_info.get("table_names"):
+        if dialect != "sqlite":
+            yield f"[6/6] Generating synthetic data & running {dialect.upper()} sandbox...\n"
+        else:
+            yield "[6/6] Generating synthetic data & running SQLite sandbox...\n"
+
+        try:
+            mock_data = await generate_synthetic_data(schema_info, dialect)
+        except Exception as exc:
+            yield f"  [WARN] Synthetic data generation failed: {exc}. Using deterministic fallback.\n"
+            from synthetic_data import _deterministic_fallback
+            mock_data = _deterministic_fallback(schema_info, rows_per_table=8)
+
+        # Prefer the validated/cleaned SQL; fall back to the raw generator
+        # response so sandbox_manager's _extract_sql can parse the fenced block
+        sql_for_sandbox = (
+            final_validation.get("sql")
+            or final_response
+            or ""
+        )
+        sandbox_result = run_sandbox(
+            sql_for_sandbox,
+            dialect,
+            schema_info,
+            mock_data,
+        )
+    else:
+        yield "[6/6] No schema provided — skipping sandbox.\n"
+        from sandbox_manager import SandboxResult
+        sandbox_result = SandboxResult(
+            ok=False, columns=[], rows=[],
+            error="No schema available for sandbox.",
+            dialect=dialect, warnings=[], duration_ms=0, mock_preview={},
+        )
+
+    yield "\n---RESULT---\n"
+    yield final_response
+    yield sandbox_markdown(sandbox_result)