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The volume_mode parameter is no longer used since workflows now upload files to MinIO storage instead of mounting volumes directly. This commit removes all references to volume_mode from: - Backend API documentation (README.md) - Tutorial getting started guide - MCP integration guide - CLI AI reference documentation - SDK documentation and examples - Test project documentation All curl examples and code samples have been updated to reflect the current MinIO-based file upload approach.
6.7 KiB
6.7 KiB
FuzzForge SDK
A comprehensive Python SDK for the FuzzForge security testing workflow orchestration platform.
Features
- Complete API Coverage: All FuzzForge API endpoints supported
- File Upload: Automatic tarball creation and multipart upload for local files
- Async & Sync: Both synchronous and asynchronous client methods
- Real-time Monitoring: WebSocket and Server-Sent Events for live fuzzing updates
- Type Safety: Full Pydantic model validation for all data structures
- Error Handling: Comprehensive exception hierarchy with detailed error information
- Utility Functions: Helper functions for path validation, SARIF processing, and more
Installation
Install using uv (recommended):
uv add fuzzforge-sdk
Or with pip:
pip install fuzzforge-sdk
Quick Start
Method 1: File Upload (Recommended)
from fuzzforge_sdk import FuzzForgeClient
from pathlib import Path
# Initialize client
client = FuzzForgeClient(base_url="http://localhost:8000")
# List available workflows
workflows = client.list_workflows()
# Submit a workflow with automatic file upload
target_path = Path("/path/to/your/project")
response = client.submit_workflow_with_upload(
workflow_name="security_assessment",
target_path=target_path,
timeout=300
)
# The SDK automatically:
# - Creates a tarball if target_path is a directory
# - Uploads the file to the backend via HTTP
# - Backend stores it in MinIO
# - Returns the workflow run_id
# Wait for completion and get results
final_status = client.wait_for_completion(response.run_id)
findings = client.get_run_findings(response.run_id)
client.close()
Method 2: Path-Based Submission (Legacy)
from fuzzforge_sdk import FuzzForgeClient
from fuzzforge_sdk.utils import create_workflow_submission
# Initialize client
client = FuzzForgeClient(base_url="http://localhost:8000")
# Submit a workflow with path (only works if backend can access the path)
submission = create_workflow_submission(
target_path="/path/on/backend/filesystem",
timeout=300
)
response = client.submit_workflow("security_assessment", submission)
client.close()
Examples
The examples/ directory contains complete working examples:
basic_workflow.py: Simple workflow submission and monitoringfuzzing_monitor.py: Real-time fuzzing monitoring with WebSocket/SSEbatch_analysis.py: Batch analysis of multiple projects
File Upload API Reference
submit_workflow_with_upload()
Submit a workflow with automatic file upload from local filesystem.
def submit_workflow_with_upload(
self,
workflow_name: str,
target_path: Union[str, Path],
parameters: Optional[Dict[str, Any]] = None,
timeout: Optional[int] = None,
progress_callback: Optional[Callable[[int, int], None]] = None
) -> RunSubmissionResponse:
"""
Submit workflow with file upload.
Args:
workflow_name: Name of the workflow to execute
target_path: Path to file or directory to upload
parameters: Optional workflow parameters
timeout: Optional execution timeout in seconds
progress_callback: Optional callback(bytes_sent, total_bytes)
Returns:
RunSubmissionResponse with run_id and status
Raises:
FileNotFoundError: If target_path doesn't exist
ValidationError: If parameters are invalid
FuzzForgeHTTPError: If upload fails
"""
Example with progress tracking:
from fuzzforge_sdk import FuzzForgeClient
from pathlib import Path
def upload_progress(bytes_sent, total_bytes):
pct = (bytes_sent / total_bytes) * 100
print(f"Upload progress: {pct:.1f}% ({bytes_sent}/{total_bytes} bytes)")
client = FuzzForgeClient(base_url="http://localhost:8000")
response = client.submit_workflow_with_upload(
workflow_name="security_assessment",
target_path=Path("./my-project"),
parameters={"check_secrets": True},
progress_callback=upload_progress
)
print(f"Workflow started: {response.run_id}")
asubmit_workflow_with_upload()
Async version of submit_workflow_with_upload().
import asyncio
from fuzzforge_sdk import FuzzForgeClient
async def main():
client = FuzzForgeClient(base_url="http://localhost:8000")
response = await client.asubmit_workflow_with_upload(
workflow_name="security_assessment",
target_path="/path/to/project",
parameters={"timeout": 3600}
)
print(f"Workflow started: {response.run_id}")
await client.aclose()
asyncio.run(main())
Internal: _create_tarball()
Creates a compressed tarball from a file or directory.
def _create_tarball(
self,
source_path: Path,
progress_callback: Optional[Callable[[int], None]] = None
) -> Path:
"""
Create compressed tarball (.tar.gz) from source.
Args:
source_path: Path to file or directory
progress_callback: Optional callback(files_added)
Returns:
Path to created tarball in temp directory
Note:
Caller is responsible for cleaning up the tarball
"""
How it works:
-
Directory: Creates tarball with all files, preserving structure
# For directory: /path/to/project/ # Creates: /tmp/tmpXXXXXX.tar.gz containing: # project/file1.py # project/subdir/file2.py -
Single file: Creates tarball with just that file
# For file: /path/to/binary.elf # Creates: /tmp/tmpXXXXXX.tar.gz containing: # binary.elf
Upload Flow Diagram
User Code
↓
submit_workflow_with_upload()
↓
_create_tarball() ───→ Compress files
↓
HTTP POST multipart/form-data
↓
Backend API (/workflows/{name}/upload-and-submit)
↓
MinIO Storage (S3) ───→ Store with target_id
↓
Temporal Workflow
↓
Worker downloads from MinIO
↓
Workflow execution
Error Handling
The SDK provides detailed error context:
from fuzzforge_sdk import FuzzForgeClient
from fuzzforge_sdk.exceptions import (
FuzzForgeHTTPError,
ValidationError,
ConnectionError
)
client = FuzzForgeClient(base_url="http://localhost:8000")
try:
response = client.submit_workflow_with_upload(
workflow_name="security_assessment",
target_path="./nonexistent",
)
except FileNotFoundError as e:
print(f"Target not found: {e}")
except ValidationError as e:
print(f"Invalid parameters: {e}")
except FuzzForgeHTTPError as e:
print(f"Upload failed (HTTP {e.status_code}): {e.message}")
if e.context.response_data:
print(f"Server response: {e.context.response_data}")
except ConnectionError as e:
print(f"Cannot connect to backend: {e}")
Development
Install with development dependencies:
uv sync --extra dev