Files
deer-flow/backend/packages/harness/deerflow/tools/builtins/view_image_tool.py
T
DanielWalnut af8c0cfb78 fix(harness): constrain view_image to thread data paths (#2557)
* fix(harness): constrain view_image to thread data paths

Fixes #2530

* fix(harness): address view_image review findings

* style(harness): format view_image changes

* fix(harness): address view_image review comments
2026-04-28 11:13:17 +08:00

163 lines
5.9 KiB
Python

import base64
import mimetypes
from pathlib import Path
from typing import Annotated
from langchain.tools import InjectedToolCallId, ToolRuntime, tool
from langchain_core.messages import ToolMessage
from langgraph.types import Command
from langgraph.typing import ContextT
from deerflow.agents.thread_state import ThreadDataState, ThreadState
from deerflow.config.paths import VIRTUAL_PATH_PREFIX
_ALLOWED_IMAGE_VIRTUAL_ROOTS = (
f"{VIRTUAL_PATH_PREFIX}/workspace",
f"{VIRTUAL_PATH_PREFIX}/uploads",
f"{VIRTUAL_PATH_PREFIX}/outputs",
)
_ALLOWED_IMAGE_VIRTUAL_ROOTS_TEXT = ", ".join(_ALLOWED_IMAGE_VIRTUAL_ROOTS)
_MAX_IMAGE_BYTES = 20 * 1024 * 1024
_EXTENSION_TO_MIME = {
".jpg": "image/jpeg",
".jpeg": "image/jpeg",
".png": "image/png",
".webp": "image/webp",
}
def _is_allowed_image_virtual_path(image_path: str) -> bool:
return any(image_path == root or image_path.startswith(f"{root}/") for root in _ALLOWED_IMAGE_VIRTUAL_ROOTS)
def _detect_image_mime(image_data: bytes) -> str | None:
if image_data.startswith(b"\xff\xd8\xff"):
return "image/jpeg"
if image_data.startswith(b"\x89PNG\r\n\x1a\n"):
return "image/png"
if len(image_data) >= 12 and image_data.startswith(b"RIFF") and image_data[8:12] == b"WEBP":
return "image/webp"
return None
def _sanitize_image_error(error: Exception, thread_data: ThreadDataState | None) -> str:
from deerflow.sandbox.tools import mask_local_paths_in_output
return mask_local_paths_in_output(f"{type(error).__name__}: {error}", thread_data)
@tool("view_image", parse_docstring=True)
def view_image_tool(
runtime: ToolRuntime[ContextT, ThreadState],
image_path: str,
tool_call_id: Annotated[str, InjectedToolCallId],
) -> Command:
"""Read an image file.
Use this tool to read an image file and make it available for display.
When to use the view_image tool:
- When you need to view an image file.
When NOT to use the view_image tool:
- For non-image files (use present_files instead)
- For multiple files at once (use present_files instead)
Args:
image_path: Absolute /mnt/user-data virtual path to the image file. Common formats supported: jpg, jpeg, png, webp.
"""
from deerflow.sandbox.exceptions import SandboxRuntimeError
from deerflow.sandbox.tools import (
get_thread_data,
resolve_and_validate_user_data_path,
validate_local_tool_path,
)
thread_data = get_thread_data(runtime)
if not _is_allowed_image_virtual_path(image_path):
return Command(
update={
"messages": [
ToolMessage(
f"Error: Only image paths under {_ALLOWED_IMAGE_VIRTUAL_ROOTS_TEXT} are allowed",
tool_call_id=tool_call_id,
)
]
},
)
try:
validate_local_tool_path(image_path, thread_data, read_only=True)
actual_path = resolve_and_validate_user_data_path(image_path, thread_data)
except (PermissionError, SandboxRuntimeError) as e:
return Command(
update={"messages": [ToolMessage(f"Error: {str(e)}", tool_call_id=tool_call_id)]},
)
path = Path(actual_path)
# Validate that the file exists
if not path.exists():
return Command(
update={"messages": [ToolMessage(f"Error: Image file not found: {image_path}", tool_call_id=tool_call_id)]},
)
# Validate that it's a file (not a directory)
if not path.is_file():
return Command(
update={"messages": [ToolMessage(f"Error: Path is not a file: {image_path}", tool_call_id=tool_call_id)]},
)
# Validate image extension
expected_mime_type = _EXTENSION_TO_MIME.get(path.suffix.lower())
if expected_mime_type is None:
return Command(
update={"messages": [ToolMessage(f"Error: Unsupported image format: {path.suffix}. Supported formats: {', '.join(_EXTENSION_TO_MIME)}", tool_call_id=tool_call_id)]},
)
# Detect MIME type from file extension
mime_type, _ = mimetypes.guess_type(actual_path)
if mime_type is None:
mime_type = expected_mime_type
try:
image_size = path.stat().st_size
except OSError as e:
return Command(
update={"messages": [ToolMessage(f"Error reading image metadata: {_sanitize_image_error(e, thread_data)}", tool_call_id=tool_call_id)]},
)
if image_size > _MAX_IMAGE_BYTES:
return Command(
update={"messages": [ToolMessage(f"Error: Image file is too large: {image_size} bytes. Maximum supported size is {_MAX_IMAGE_BYTES} bytes", tool_call_id=tool_call_id)]},
)
# Read image file and convert to base64
try:
with open(actual_path, "rb") as f:
image_data = f.read()
except Exception as e:
return Command(
update={"messages": [ToolMessage(f"Error reading image file: {_sanitize_image_error(e, thread_data)}", tool_call_id=tool_call_id)]},
)
detected_mime_type = _detect_image_mime(image_data)
if detected_mime_type is None:
return Command(
update={"messages": [ToolMessage("Error: File contents do not match a supported image format", tool_call_id=tool_call_id)]},
)
if detected_mime_type != expected_mime_type:
return Command(
update={"messages": [ToolMessage(f"Error: Image contents are {detected_mime_type}, but file extension indicates {expected_mime_type}", tool_call_id=tool_call_id)]},
)
mime_type = detected_mime_type
image_base64 = base64.b64encode(image_data).decode("utf-8")
# Update viewed_images in state
# The merge_viewed_images reducer will handle merging with existing images
new_viewed_images = {image_path: {"base64": image_base64, "mime_type": mime_type}}
return Command(
update={"viewed_images": new_viewed_images, "messages": [ToolMessage("Successfully read image", tool_call_id=tool_call_id)]},
)