v1.2.0

[1.2.0] - 2025-02-11

Added

• Function Validator:
  • Introduced a comprehensive function validator that leverages Python's ast module to analyze and verify function code before execution.
  • The validator performs multiple checks including:
    • Syntax Validation: Ensures the code is syntactically correct.
    • Import Restrictions: Verifies that only allowed libraries are imported and disallows relative (local) imports.
    • Parameter Signature Checks: Validates that function definitions adhere to expected parameter rules (e.g., no varargs, proper defaults for keyword-only arguments, and correct naming for subtask-specific parameters).
    • Assignment Verification: Confirms the presence of mandatory assignments like updated_dict = previous_output.copy() for subtasks with index > 0.
    • Undefined Name Detection: Identifies any use of undefined names within the function.
    • Nesting Depth Control: Ensures function nesting does not exceed one level (primary function plus optional helper functions).
    • Dangerous Function Call Prevention: Blocks execution of dangerous functions (e.g., eval, exec, compile, __import__, os.system, etc.).
    • updated_dict.get Key Validation: Checks that keys used in updated_dict.get(...) calls exist in the provided previous_output.
  • Upon successful validation, the function is automatically renamed to match the expected subtask name.
• RAG Llama Index Integration:
  • Added capabilities for llama index retrieval and ingest, expanding the system's data ingestion and search functionality.
• Subtask Regeneration Function:
  • Implemented a new function that automatically regenerates a subtask if:
    • The function validator fails during pre-execution checks, or
    • An error is encountered during execution.