fix: resolve live monitoring bug, remove deprecated parameters, and auto-start Python worker

- Fix live monitoring style error by calling _live_monitor() helper directly
- Remove default_parameters duplication from 10 workflow metadata files
- Remove deprecated volume_mode parameter from 26 files across CLI, SDK, backend, and docs
- Configure Python worker to start automatically with docker compose up
- Clean up constants, validation, completion, and example files

Fixes #
- Live monitoring now works correctly with --live flag
- Workflow metadata follows JSON Schema standard
- Cleaner codebase without deprecated volume_mode
- Python worker (most commonly used) starts by default

sdk/examples/basic_workflow.py

@@ -64,7 +64,6 @@ def main():
         print("📝 Workflow metadata:")
         print(f"  Author: {metadata.author}")
         print(f"  Required modules: {metadata.required_modules}")
-        print(f"  Supported volume modes: {metadata.supported_volume_modes}")
         print()
 
         # Prepare target path (use current directory as example)
@@ -74,7 +73,6 @@ def main():
         # Create workflow submission
         submission = create_workflow_submission(
             target_path=target_path,
-            volume_mode="ro",
             timeout=300,  # 5 minutes
         )
 
@@ -234,7 +232,6 @@ async def async_main():
             target_path = Path.cwd().absolute()
             submission = create_workflow_submission(
                 target_path=target_path,
-                volume_mode="ro",
                 timeout=300,
             )
 

sdk/examples/batch_analysis.py

@@ -135,23 +135,18 @@ class BatchAnalyzer:
             # Determine appropriate timeout based on workflow type
             if "fuzzing" in metadata.tags:
                 timeout = 1800  # 30 minutes for fuzzing
-                volume_mode = "rw"
             elif "dynamic" in metadata.tags:
                 timeout = 900   # 15 minutes for dynamic analysis
-                volume_mode = "rw"
             else:
                 timeout = 300   # 5 minutes for static analysis
-                volume_mode = "ro"
 
         except Exception:
             # Fallback settings
             timeout = 600
-            volume_mode = "ro"
 
         # Create submission
         submission = create_workflow_submission(
             target_path=project_path,
-            volume_mode=volume_mode,
             timeout=timeout
         )
 

sdk/examples/fuzzing_monitor.py

@@ -193,7 +193,6 @@ async def main():
 
         submission = create_workflow_submission(
             target_path=target_path,
-            volume_mode="rw",  # Fuzzing may need to write files
             timeout=3600,      # 1 hour timeout
             resource_limits=resource_limits,
             parameters={

sdk/examples/save_findings_demo.py

@@ -33,7 +33,6 @@ def main():
         workflow_name = workflows[0].name
         submission = create_workflow_submission(
             target_path=Path.cwd().absolute(),
-            volume_mode="ro",
             timeout=300
         )