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Abliteration.ai is an LLM provider for professional teams whose legitimate work gets blocked by the refusal behavior of other LLM providers. Security researchers, red teams, trust and safety teams, and ML engineers use it to run sensitive queries, test AI applications for jailbreaks and prompt injection, classify content, and generate synthetic training data at scale. Access is through OpenAI- and Anthropic-compatible APIs that serve models with refusal behavior reduced through abliteration. Your existing code keeps working after a one-line base-URL change. Control stays with you: you write the usage policy for each project, enforcement happens at the API layer with scoped keys, and every decision is logged with a reason code you can audit. A zero data retention option means prompts are processed and discarded, never stored and never used for training. A free tier is included so you can test the models before spending anything. Paid usage is per token, with prepaid credits that never expire and monthly plans from $20.
Abliteration.ai is an LLM provider designed for professional teams whose legitimate work is often blocked by the refusal behavior of other LLM providers. It offers OpenAI- and Anthropic-compatible APIs that serve models with reduced refusal behavior through a technique called abliteration. This allows security researchers, red teams, trust and safety teams, and ML engineers to run sensitive queries, test AI applications for jailbreaks and prompt injection, classify content, and generate synthetic training data at scale.
https://api.abliteration.ai/v1 (for OpenAI) or the corresponding Anthropic endpoint./v1/chat/completions endpoint (OpenAI-compatible) or the Messages API (Anthropic-compatible).What is an uncensored LLM API? An uncensored LLM API lets developers use less-censored models without provider-side refusal filters. Enterprise teams use this for authorized red teaming, cybersecurity testing, trust and safety research, synthetic data generation, and ML evaluation while enforcing their own legal and policy controls.
What is the Policy Gateway? Policy Gateway is the enterprise AI Gateway for abliteration.ai. It provides a secure control plane for LLM apps with policy-as-code guardrails, quota management, PII redaction, and compliance logging.
Which enterprise teams use abliteration.ai? Enterprise security teams, AI red teams, cybersecurity labs, trust and safety teams, ML researchers, synthetic data teams, and government or defense-contractor programs use abliteration.ai when default provider refusals block authorized work and they need their own policy controls.
How does Policy Gateway enforce policy?
Send requests to /policy/chat/completions with your policy_id, policy_user, and optional project ID. The gateway applies your rules, quotas, rollout settings, and returns decision metadata for audits.
Do I need a separate subscription for Policy Gateway? Yes. Policy Gateway is an enterprise add-on billed monthly. It layers on top of your base token bundles and includes policy-as-code, quotas, rollout controls, and audit logging.
What data does Policy Gateway store? Policy Gateway stores policy configuration and enforcement metadata (decision, reason code, policy ID, project/user tags) for audits. Prompt/output retention remains off by default.
Do you support training data generation? Yes. abliteration.ai can generate training data, preference pairs, evaluation sets, labeled datasets, and edge-case examples through the OpenAI-compatible API. Policy Gateway can add governance, scoped keys, quotas, and policy logs to dataset-generation workflows.
Is abliteration.ai OpenAI-compatible?
Yes. abliteration.ai offers an OpenAI-compatible /v1/chat/completions endpoint with the same request and response structure, so most OpenAI clients work by changing the base URL and API key.
Do you retain prompts or chat logs? No prompt/output retention by default. Operational telemetry (token counts, timestamps, error codes) is retained for billing and reliability.
How does usage-based token pricing work? Billing uses total tokens (input + output), including image token equivalents. Effective pricing is ~$3 per 1M tokens; subscription credits reset monthly and prepaid credits are one-time.