Uncensored AI Models Stop Refusing. Then They Break Your Agent.

Описание и применение

Разработчик перенёс свой агентский стек на «незакрытые» модели, чтобы избежать блокировок OpenAI при работе с инструментом обратного инжиниринга.

Задача

A developer’s OpenAI account was banned after using Codex to test a reverse‑engineering tool, and other users reported that Codex generated its own security boundary questions, leading to automatic bans even when no model output was produced.

Результат

The agent stack was successfully migrated to uncensored models, eliminating automatic bans while maintaining reverse‑engineering functionality.

Рабочий процесс

• 1. Identify the reverse‑engineering use case and the prompts that trigger bans.
• 2. Choose an uncensored model (e.g., Heretic‑edited Gemma 3 12B).
• 3. Deploy the model via one of three routes: local (Ollama/LM Studio), rented GPU (RunPod), or hosted API (abliteration.ai/Sogni).
• 4. Configure the agent to use the chosen OpenAI‑compatible endpoint (set baseURL).
• 5. Adjust context window and tool‑calling settings if necessary (e.g., raise num_ctx to 16K‑32K for Ollama).
• 6. Test the agent with the reverse‑engineering tool (REA) to ensure functionality without bans.

Доказательства

A developer watched his 4‑year‑old OpenAI account get banned for asking Codex to test REA, a reverse engineering tool.

Источник

On the Anthropic side, Claude Code cuts the request dead and points at its terms of service on reverse engineering.

Источник

Heretic covers the first: pip install heretic-llm, then heretic MODEL, and it runs the whole edit in one command.

Источник

RunPod’s serverless vLLM worker deploys any Hugging Face model that vLLM supports.

Источник