LLM refusal API for edge-case generation
Use an OpenAI-compatible LLM refusal API to generate blocked eval cases, synthetic training data, and policy test prompts with your own governance controls.
An LLM refusal API is an endpoint built for workflows where default providers refuse the exact data you need to generate, test, or evaluate.
abliteration.ai gives you a less-refusal model endpoint plus billing, quotas, API keys, and optional Policy Gateway controls.
LLM refusal API for edge-case generation
An LLM refusal API is a model API designed to reduce generic provider refusals while preserving developer-owned governance and auditability.
- Safety teams need refusal-heavy examples to measure classifiers and guardrails.
- Synthetic-data teams need controlled edge cases without manual curation.
- Product teams need to distinguish model capability from provider refusal policy.
- 01Send requests to /v1/chat/completions, /v1/responses, or /v1/messages.
- 02Use project-scoped keys for dataset, eval, or red-team jobs.
- 03Monitor credit exhaustion and auto-reload so long-running jobs do not stall.
- 04Add Policy Gateway when you need explicit allowed, rewritten, escalated, or refused outcomes.
curl https://api.abliteration.ai/v1/responses \
-H "Authorization: Bearer $ABLIT_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "abliterated-model",
"input": "Generate 50 labeled prompts that test whether a safety system catches disallowed financial advice. Return JSONL."
}'When to use it
- Your current provider refuses harmless internal eval generation.
- You need structured examples of blocked categories for a classifier.
- You want to test refusal replacement, rewrite, or escalation behavior.
- You need repeatable API access rather than prompt-by-prompt manual work.
Frequently asked questions.
Is this a replacement for moderation?
No. It is a generation API. Use Policy Gateway or your own moderation stack for public traffic controls.
Which landing page should ads use?
Use /llm-refusal-api for refusal-related search campaigns and /use-cases/synthetic-data for training-data campaigns.