Initial commit: hardened DeerFlow factory

Vendored deer-flow upstream (bytedance/deer-flow) plus prompt-injection
hardening:

- New deerflow.security package: content_delimiter, html_cleaner,
  sanitizer (8 layers — invisible chars, control chars, symbols, NFC,
  PUA, tag chars, horizontal whitespace collapse with newline/tab
  preservation, length cap)
- New deerflow.community.searx package: web_search, web_fetch,
  image_search backed by a private SearX instance, every external
  string sanitized and wrapped in <<<EXTERNAL_UNTRUSTED_CONTENT>>>
  delimiters
- All native community web providers (ddg_search, tavily, exa,
  firecrawl, jina_ai, infoquest, image_search) replaced with hard-fail
  stubs that raise NativeWebToolDisabledError at import time, so a
  misconfigured tool.use path fails loud rather than silently falling
  back to unsanitized output
- Native client back-doors (jina_client.py, infoquest_client.py)
  stubbed too
- Native-tool tests quarantined under tests/_disabled_native/
  (collect_ignore_glob via local conftest.py)
- Sanitizer Layer 7 fix: only collapse horizontal whitespace, preserve
  newlines and tabs so list/table structure survives
- Hardened runtime config.yaml references only the searx-backed tools
- Factory overlay (backend/) kept in sync with deer-flow tree as a
  reference / source

See HARDENING.md for the full audit trail and verification steps.

deer-flow/skills/public/video-generation/scripts/generate.py

@@ -0,0 +1,116 @@
+import base64
+import os
+import time
+
+import requests
+
+
+def generate_video(
+    prompt_file: str,
+    reference_images: list[str],
+    output_file: str,
+    aspect_ratio: str = "16:9",
+) -> str:
+    with open(prompt_file, "r", encoding="utf-8") as f:
+        prompt = f.read()
+    referenceImages = []
+    i = 0
+    json = {
+        "instances": [{"prompt": prompt}],
+    }
+    for reference_image in reference_images:
+        i += 1
+        with open(reference_image, "rb") as f:
+            image_b64 = base64.b64encode(f.read()).decode("utf-8")
+        referenceImages.append(
+            {
+                "image": {"mimeType": "image/jpeg", "bytesBase64Encoded": image_b64},
+                "referenceType": "asset",
+            }
+        )
+    if i > 0:
+        json["instances"][0]["referenceImages"] = referenceImages
+    api_key = os.getenv("GEMINI_API_KEY")
+    if not api_key:
+        return "GEMINI_API_KEY is not set"
+    response = requests.post(
+        "https://generativelanguage.googleapis.com/v1beta/models/veo-3.1-generate-preview:predictLongRunning",
+        headers={
+            "x-goog-api-key": api_key,
+            "Content-Type": "application/json",
+        },
+        json=json,
+    )
+    json = response.json()
+    operation_name = json["name"]
+    while True:
+        response = requests.get(
+            f"https://generativelanguage.googleapis.com/v1beta/{operation_name}",
+            headers={
+                "x-goog-api-key": api_key,
+            },
+        )
+        json = response.json()
+        if json.get("done", False):
+            sample = json["response"]["generateVideoResponse"]["generatedSamples"][0]
+            url = sample["video"]["uri"]
+            download(url, output_file)
+            break
+        time.sleep(3)
+    return f"The video has been generated successfully to {output_file}"
+
+
+def download(url: str, output_file: str):
+    api_key = os.getenv("GEMINI_API_KEY")
+    if not api_key:
+        return "GEMINI_API_KEY is not set"
+    response = requests.get(
+        url,
+        headers={
+            "x-goog-api-key": api_key,
+        },
+    )
+    with open(output_file, "wb") as f:
+        f.write(response.content)
+
+
+if __name__ == "__main__":
+    import argparse
+
+    parser = argparse.ArgumentParser(description="Generate videos using Gemini API")
+    parser.add_argument(
+        "--prompt-file",
+        required=True,
+        help="Absolute path to JSON prompt file",
+    )
+    parser.add_argument(
+        "--reference-images",
+        nargs="*",
+        default=[],
+        help="Absolute paths to reference images (space-separated)",
+    )
+    parser.add_argument(
+        "--output-file",
+        required=True,
+        help="Output path for generated image",
+    )
+    parser.add_argument(
+        "--aspect-ratio",
+        required=False,
+        default="16:9",
+        help="Aspect ratio of the generated image",
+    )
+
+    args = parser.parse_args()
+
+    try:
+        print(
+            generate_video(
+                args.prompt_file,
+                args.reference_images,
+                args.output_file,
+                args.aspect_ratio,
+            )
+        )
+    except Exception as e:
+        print(f"Error while generating video: {e}")