- Fix OptionInfo bug causing 'ff finding <run_id>' to crash
- Add explicit limit=None, offset=0 parameters in main.py calls
- Prevents OptionInfo objects from being used in arithmetic operations
- Fix command suggestions after workflow completion
- Change 'fuzzforge findings' to 'ff finding' (correct syntax)
- Add missing 'View findings' suggestion after submission
- Fix --fail-on help text
- Change from 'severity' to 'SARIF level' (error,warning,note,info)
- Matches actual implementation
- Update CLI documentation
- Fix 'ff finding show' parameter from --rule to --id
- Mark unimplemented AI commands as 'Coming Soon'
- Correct 'ff ingest' documentation to match actual implementation
- Remove fake subcommands, document actual options
Add comprehensive CLI commands for managing Temporal workers:
- ff worker list - List workers with status and uptime
- ff worker start <name> - Start specific worker with optional rebuild
- ff worker stop - Safely stop all workers without affecting core services
Improvements:
- Live progress display during worker startup with Rich Status spinner
- Real-time elapsed time counter and container state updates
- Health check status tracking (starting → unhealthy → healthy)
- Helpful contextual hints at 10s, 30s, 60s intervals
- Better timeout messages showing last known state
Worker management enhancements:
- Use 'docker compose' (space) instead of 'docker-compose' (hyphen)
- Stop workers individually with 'docker stop' to avoid stopping core services
- Platform detection and Dockerfile selection (ARM64/AMD64)
Documentation:
- Updated docker-setup.md with CLI commands as primary method
- Created comprehensive cli-reference.md with all commands and examples
- Added worker management best practices
* feat: seed governance config and responses routing
* Add env-configurable timeout for proxy providers
* Integrate LiteLLM OTEL collector and update docs
* Make .env.litellm optional for LiteLLM proxy
* Add LiteLLM proxy integration with model-agnostic virtual keys
Changes:
- Bootstrap generates 3 virtual keys with individual budgets (CLI: $100, Task-Agent: $25, Cognee: $50)
- Task-agent loads config at runtime via entrypoint script to wait for bootstrap completion
- All keys are model-agnostic by default (no LITELLM_DEFAULT_MODELS restrictions)
- Bootstrap handles database/env mismatch after docker prune by deleting stale aliases
- CLI and Cognee configured to use LiteLLM proxy with virtual keys
- Added comprehensive documentation in volumes/env/README.md
Technical details:
- task-agent entrypoint waits for keys in .env file before starting uvicorn
- Bootstrap creates/updates TASK_AGENT_API_KEY, COGNEE_API_KEY, and OPENAI_API_KEY
- Removed hardcoded API keys from docker-compose.yml
- All services route through http://localhost:10999 proxy
* Fix CLI not loading virtual keys from global .env
Project .env files with empty OPENAI_API_KEY values were overriding
the global virtual keys. Updated _load_env_file_if_exists to only
override with non-empty values.
* Fix agent executor not passing API key to LiteLLM
The agent was initializing LiteLlm without api_key or api_base,
causing authentication errors when using the LiteLLM proxy. Now
reads from OPENAI_API_KEY/LLM_API_KEY and LLM_ENDPOINT environment
variables and passes them to LiteLlm constructor.
* Auto-populate project .env with virtual key from global config
When running 'ff init', the command now checks for a global
volumes/env/.env file and automatically uses the OPENAI_API_KEY
virtual key if found. This ensures projects work with LiteLLM
proxy out of the box without manual key configuration.
* docs: Update README with LiteLLM configuration instructions
Add note about LITELLM_GEMINI_API_KEY configuration and clarify that OPENAI_API_KEY default value should not be changed as it's used for the LLM proxy.
* Refactor workflow parameters to use JSON Schema defaults
Consolidates parameter defaults into JSON Schema format, removing the separate default_parameters field. Adds extract_defaults_from_json_schema() helper to extract defaults from the standard schema structure. Updates LiteLLM proxy config to use LITELLM_OPENAI_API_KEY environment variable.
* Remove .env.example from task_agent
* Fix MDX syntax error in llm-proxy.md
* fix: apply default parameters from metadata.yaml automatically
Fixed TemporalManager.run_workflow() to correctly apply default parameter
values from workflow metadata.yaml files when parameters are not provided
by the caller.
Previous behavior:
- When workflow_params was empty {}, the condition
`if workflow_params and 'parameters' in metadata` would fail
- Parameters would not be extracted from schema, resulting in workflows
receiving only target_id with no other parameters
New behavior:
- Removed the `workflow_params and` requirement from the condition
- Now explicitly checks for defaults in parameter spec
- Applies defaults from metadata.yaml automatically when param not provided
- Workflows receive all parameters with proper fallback:
provided value > metadata default > None
This makes metadata.yaml the single source of truth for parameter defaults,
removing the need for workflows to implement defensive default handling.
Affected workflows:
- llm_secret_detection (was failing with KeyError)
- All other workflows now benefit from automatic default application
Co-authored-by: tduhamel42 <tduhamel@fuzzinglabs.com>
Updated all documentation to reflect actual v0.7.0 workflow implementation:
Workflow name changes:
- Removed all references to non-existent workflows (static_analysis_scan,
secret_detection_scan, infrastructure_scan, penetration_testing_scan)
- Updated examples to use actual workflows (security_assessment, gitleaks_detection,
trufflehog_detection, llm_secret_detection)
- Deleted docs/docs/reference/workflows/static-analysis.md (described non-existent workflow)
Content corrections:
- Fixed workflow tool descriptions (removed incorrect Semgrep/Bandit references,
documented actual SecurityAnalyzer and FileScanner modules)
- Updated all workflow lists to show production-ready vs development status
- Fixed all example configurations to match actual workflow parameters
Module creation guide fixes:
- Fixed 4 path references: backend/src/toolbox → backend/toolbox
- Updated import statements in example code
Files updated:
- docs/index.md - workflow list, CLI example, broken tutorial links
- docs/docs/tutorial/getting-started.md - workflow list, example output, tool descriptions
- docs/docs/how-to/create-module.md - module paths and imports
- docs/docs/how-to/mcp-integration.md - workflow examples and list
- docs/docs/ai/prompts.md - workflow example
- docs/docs/reference/cli-ai.md - 3 workflow references
- Removed Docker Registry from execution layer diagram
- Updated diagram to show vertical workers with MinIO storage
- Removed obsolete COMPOSE_PROJECT_NAME from example configuration
Updated documentation to reflect v0.7.0 Temporal architecture which uses MinIO for storage instead of a Docker registry.
Major changes:
- getting-started.md: Added mandatory volumes/env/.env setup, removed registry config section, updated service list
- docker-setup.md: Complete rewrite focusing on system requirements and worker profiles instead of registry
- index.md: Replaced registry warning with environment file requirement
- troubleshooting.md: Removed all registry troubleshooting, added environment configuration issues
Fix lint errors:
- Remove unused Optional import from gitleaks workflow
- Remove unused logging import from trufflehog activities
Fix documentation broken links:
- Update workspace-isolation links to use /docs/ prefix in resource-management.md
- Update workspace-isolation links to use /docs/ prefix in create-workflow.md
Fix benchmark dependency:
- Add fuzzforge-sdk installation to benchmark workflow
- SDK is required for bench_comparison.py import
All CI checks should now pass.
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.
- Remove obsolete docker_logs.py module and container diagnostics from SDK
- Fix security_assessment workflow metadata (vertical: rust -> python)
- Remove all Prefect references from documentation
- Add SDK exception handling test suite
- Clean up old test artifacts
