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https://github.com/FuzzingLabs/fuzzforge_ai.git
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09951d68d7
- 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
59 lines
1.4 KiB
YAML
59 lines
1.4 KiB
YAML
name: llm_analysis
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version: "1.0.0"
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vertical: python
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description: "Uses AI/LLM to analyze code for security vulnerabilities and code quality issues"
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author: "FuzzForge Team"
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tags:
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- "llm"
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- "ai"
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- "security"
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- "static-analysis"
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- "code-quality"
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# Workspace isolation mode
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workspace_isolation: "shared"
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parameters:
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type: object
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properties:
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agent_url:
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type: string
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description: "A2A agent endpoint URL"
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llm_model:
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type: string
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description: "LLM model to use (e.g., gpt-4o-mini, claude-3-5-sonnet)"
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llm_provider:
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type: string
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description: "LLM provider (openai, anthropic, etc.)"
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file_patterns:
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type: array
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items:
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type: string
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description: "File patterns to analyze (e.g., ['*.py', '*.js'])"
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max_files:
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type: integer
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description: "Maximum number of files to analyze"
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max_file_size:
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type: integer
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description: "Maximum file size in bytes"
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timeout:
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type: integer
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description: "Timeout per file in seconds"
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output_schema:
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type: object
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properties:
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sarif:
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type: object
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description: "SARIF-formatted security findings from LLM"
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summary:
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type: object
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description: "Analysis summary"
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properties:
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files_analyzed:
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type: integer
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total_findings:
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type: integer
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model_used:
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type: string
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