style: run prettier formatting

Use explicit typeof checks for path, name, and mime_type instead of
relying on truthiness, which could produce unexpected output for
non-string values.

autogpt_platform/frontend/src/app/(platform)/copilot/tools/GenericTool/GenericTool.tsx

@@ -501,27 +501,79 @@ function getFileAccordionData(
       "path",
       "pattern",
     ) ?? "File";
-  const content = getStringField(output, "content", "text", "_raw");
+  const content = getStringField(
+    output,
+    "content",
+    "text",
+    "preview",
+    "content_preview",
+    "_raw",
+  );
   const message = getStringField(output, "message");
+
+  // Handle base64 content from workspace files
+  let displayContent = content;
+  if (output.content_base64 && typeof output.content_base64 === "string") {
+    try {
+      const bytes = Uint8Array.from(atob(output.content_base64), (c) =>
+        c.charCodeAt(0),
+      );
+      displayContent = new TextDecoder().decode(bytes);
+    } catch {
+      displayContent = "[Binary content]";
+    }
+  }
+
+  // Handle MCP-style content blocks from SDK tools (Read, Glob, Grep, Edit)
+  if (!displayContent) {
+    displayContent = extractMcpText(output);
+  }
+
   // For Glob/list results, try to show file list
-  const files = Array.isArray(output.files)
-    ? output.files.filter((f: unknown): f is string => typeof f === "string")
-    : null;
+  // Files can be either strings (from Glob) or objects (from list_workspace_files)
+  const files = Array.isArray(output.files) ? output.files : null;
+
+  // Format file list for display
+  let fileListText: string | null = null;
+  if (files && files.length > 0) {
+    const fileLines = files.map((f: unknown) => {
+      if (typeof f === "string") {
+        return f;
+      }
+      if (typeof f === "object" && f !== null) {
+        const fileObj = f as Record<string, unknown>;
+        // Workspace file format: path (size, mime_type)
+        const filePath =
+          typeof fileObj.path === "string"
+            ? fileObj.path
+            : typeof fileObj.name === "string"
+              ? fileObj.name
+              : "unknown";
+        const mimeType =
+          typeof fileObj.mime_type === "string" ? fileObj.mime_type : "unknown";
+        const size =
+          typeof fileObj.size_bytes === "number"
+            ? ` (${(fileObj.size_bytes / 1024).toFixed(1)} KB, ${mimeType})`
+            : "";
+        return `${filePath}${size}`;
+      }
+      return String(f);
+    });
+    fileListText = fileLines.join("\n");
+  }
 
   return {
     title: message ?? "File output",
     description: truncate(filePath, 80),
     content: (
       <div className="space-y-2">
-        {content && (
-          <ContentCodeBlock>{truncate(content, 2000)}</ContentCodeBlock>
+        {displayContent && (
+          <ContentCodeBlock>{truncate(displayContent, 2000)}</ContentCodeBlock>
         )}
-        {files && files.length > 0 && (
-          <ContentCodeBlock>
-            {truncate(files.join("\n"), 2000)}
-          </ContentCodeBlock>
+        {fileListText && (
+          <ContentCodeBlock>{truncate(fileListText, 2000)}</ContentCodeBlock>
         )}
-        {!content && !files && message && (
+        {!displayContent && !fileListText && message && (
           <ContentMessage>{message}</ContentMessage>
         )}
       </div>

docs/platform/getting-started.md

@@ -218,6 +218,17 @@ If you initially installed Docker with Hyper-V, you **don’t need to reinstall*
 
 For more details, refer to [Docker's official documentation](https://docs.docker.com/desktop/windows/wsl/).
 
+### ⚠️ Podman Not Supported
+
+AutoGPT requires **Docker** (Docker Desktop or Docker Engine). **Podman and podman-compose are not supported** and may cause path resolution issues, particularly on Windows.
+
+If you see errors like:
+```text
+Error: the specified Containerfile or Dockerfile does not exist, ..\..\autogpt_platform\backend\Dockerfile
+```
+
+This indicates you're using Podman instead of Docker. Please install [Docker Desktop](https://docs.docker.com/desktop/) and use `docker compose` instead of `podman-compose`.
+
 
 ## Development