AutoGenLib
title: AutoGenLib type: tool created: 2026-05-16 last_updated: 2026-05-16 related: ["Playradar", "radar/techniques/LLMTDDLoop"] sources: ["https://github.com/cofob/autogenlib"] radar_quadrant: Tools radar_ring: Assess radar_position: outer
A Python library that intercepts import statements for non-existent modules and dynamically generates the requested code via the OpenAI API at runtime. The library's tagline is "Import wisdom, export code."
AutoGenLib hooks into Python's import system using a custom import finder. When an import under the autogenlib namespace resolves to a module that does not exist on disk, the library:
- Reads the calling code and any existing modules in the project for context.
- Sends a generation prompt to the OpenAI API describing the requested module.
- Validates the generated code (syntax check, execution test).
- Makes the generated module available to the calling code in-memory.
- Optionally re-submits exceptions back to the LLM for automatic fixes.
Code is not cached by default — each run generates fresh implementations. The project attributes this to "LLM hallucinations" and frames it humorously, though it has a practical consequence: behaviour is non-deterministic across runs.
- Python 3.12+
- OpenAI API credentials and associated costs
The README demonstrates: TOTP generator, encryption utilities, data processors. Each example shows the library correctly inferring the required interface from the calling code's usage patterns.
- Non-deterministic: no caching means identical imports may produce different implementations between runs.
- External API dependency: requires network access and incurs OpenAI costs on every run.
- Security surface: executing LLM-generated code at import time without a sandbox introduces arbitrary code execution risk.
- Python 3.12+ only: limits compatibility with older codebases.
The project notes that 100% of its own code was generated via LLM, adding a layer of self-referential credibility to the concept.
AutoGenLib sits in the Assess ring of the Tools quadrant, at outer position. First studied via the GitHub repository on 2026-05-16; no personal use. The tool is a creative proof-of-concept exploring the boundary between import systems and generative AI. Outer position reflects several constraints that limit near-term applicability: non-deterministic behaviour by design, runtime OpenAI API dependency, arbitrary code execution at import time without sandboxing, and Python 3.12+ requirement. The concept is worth watching as the pattern matures, but is not actionable for production codebases in its current form.
