abliteration.ai
Unrestricted LLM inference API for open-weight models with OpenAI/Anthropic SDK compatibility and built-in Policy Gateway for governance.
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Product Overview
What is abliteration.ai?
abliteration.ai is an inference API that delivers unrestricted, uncensored access to open-weight large language models. Instead of relying on prompt-based jailbreaks, the platform uses refusal vector ablation—a weight-modification technique that removes the refusal direction from models at the weight level. Developers can drop in by simply changing their SDK base URL to https://api.abliteration.ai/v1, keeping the same code while getting fewer refusals. The service includes an optional Policy Gateway for teams needing governance controls like policy-as-code rules, quotas, audit logs, and custom enforcement modes. By default, abliteration.ai practices zero data retention: prompts are never stored, outputs are never logged, and no metadata is kept.
Key Features
Unrestricted Open-Weight Model Access
Hosted abliterated-model that answers prompts other LLMs refuse, including security research, training data generation, and edge-case evals without system-prompt jailbreaks.
Drop-in SDK Compatibility
Fully compatible with OpenAI Chat Completions API, OpenAI Responses API, and Anthropic Messages API—change only the base URL, no code rewrites needed.
Built-in Policy Gateway
Opt-in governance layer with policy-as-code rules offering five outcomes (allow, refuse, rewrite, redact, escalate) plus reason codes streamed to Splunk, Datadog, Elastic, or S3.
Zero Data Retention
Prompts never stored, outputs never logged, metadata never kept, and no training signal used—audit logs contain nothing identifying users, prompts, or responses.
Multi-Modal Capabilities
Supports streaming, tool calling, image inputs, and video inputs on Chat Completions, with vision input and function calling available across endpoints.
Pay-As-You-Go Pricing
Three subscription tiers (Builder at $20/month, Team at $50/month, Enterprise with custom pricing) plus prepaid credit packs starting at $100 for 33M tokens that never expire.
Use Cases
- Synthetic Data Generation : Generate labeled datasets at scale including preference pairs, eval rows, classifier examples, and edge cases that other LLMs refuse to write, with schema-validated outputs ready for training pipelines.
- Security & Red-Team Research : Security teams can draft PoCs, run recon techniques for authorized engagements, and generate red-team evals without provider refusals blocking legitimate defense work.
- Trust & Safety Testing : Trust teams can generate harmful behavior examples, harassment scenarios, and safety evals to test and improve their own moderation systems.
- Production AI with Custom Governance : Teams in high-risk industries (healthcare, finance, legal) can run AI with their own policy layer, audit logs, and compliance controls instead of inheriting hidden provider refusals.
- Model Training & Eval Development : Researchers can generate training data, create eval cases for edge scenarios, and build classifier examples without refusal theater blocking legitimate research prompts.
FAQs
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