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Dify does support passing remote file URLs via the API, but to avoid 400 errors and ensure the file info (including original filename) is available in your app, you need to follow a two-step process:
Troubleshooting tips:
Note: Let me know if you need example code for extracting the filename or handling the file object in your workflow! To reply, just mention @dosu. How did I do? Good | Irrelevant | Incorrect | Verbose | Hallucination | Report 🐛 | Other
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To automate cleanup of files and metadata older than one day in Dify, you can write a scheduled Python script that queries the UploadFile table for stale files and deletes them using Dify's internal FileService. This ensures both the file in storage and its database record are removed atomically. Here’s a sample script outline (to be run inside your Dify backend environment): from datetime import datetime, timedelta
from sqlalchemy import select
from api.models.model import UploadFile
from api.services.file_service import FileService
from api.core.db import db
# Set up the file service
file_service = FileService(db.engine)
# Calculate cutoff datetime (files older than 1 day)
cutoff = datetime.utcnow() - timedelta(days=1)
with db.session() as session:
# Query for files older than 1 day
old_files = session.scalars(
select(UploadFile.id).where(UploadFile.created_at < cutoff)
).all()
for file_id in old_files:
try:
file_service.delete_file(file_id)
print(f"Deleted file {file_id}")
except Exception as e:
print(f"Error deleting file {file_id}: {e}")You can run this script as a cron job or scheduled task. For production, add logging, error handling, and consider a dry-run mode. Always back up your database and storage before running destructive operations. Dify also provides CLI commands for cleaning up orphaned file records and files, but these are not age-based—they remove files not referenced anywhere in the database or storage. For age-based cleanup, use the script above as a template and adapt as needed for your environment and retention policy. Make sure the script runs with the same permissions as your Dify backend so it can access both the database and storage. References: To reply, just mention @dosu. How did I do? Good | Irrelevant | Incorrect | Verbose | Hallucination | Report 🐛 | Other
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My Dify is deployed using Docker images. In which container should the above code be run, and how should it be run? The key consideration is the library references in the code. |
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You should run the cleanup script inside the Dify API container, which is typically named Here's how you can do it:
If you want to run the script interactively, you can use The API container is set up with all dependencies and mounts the storage directory, so your script will have access to both the database and stored files. Before running, back up your database and storage, and test in a safe environment if possible. References: To reply, just mention @dosu. How did I do? Good | Irrelevant | Incorrect | Verbose | Hallucination | Report 🐛 | Other
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I'm using Dify version 1.10.1 with a Docker deployment. When I run cleanup.py as described above, I encounter the following error. How can I resolve this? 
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The circular import error happens because Dify’s internal modules (like To avoid this, implement your cleanup logic as a Flask CLI command (following the pattern in If you don’t want to modify the codebase, you can also run your cleanup logic interactively in the Flask shell ( For reference, see how Dify CLI commands are implemented and registered: This pattern ensures your cleanup runs inside the Flask app context and avoids the circular import problem. Always back up your data before running destructive operations. To reply, just mention @dosu. How did I do? Good | Irrelevant | Incorrect | Verbose | Hallucination | Report 🐛 | Other
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Content
Requirement Summary:
We need to pass a large file's (2-5GB) remote URL address and original filename to a Dify application, so automatic download is NOT required - the app should only receive the file information for subsequent processing in Chatflow. The original filename must be retrievable within the application.
Current Issue:
When using the
/v1/chat-messagesAPI endpoint with the following request, a 400 error occurs:Request:
Error Response:
{"code":"bad_request","message":"The browser (or proxy) sent a request that this server could not understand.","status":400}How should I solve this problem?
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