Use Strix with abliteration.ai

To use Strix with abliteration.ai, configure Strix with the OpenAI-compatible base URL, your ak_... API key, and an abliteration.ai model ID. Strix uses AI agents to inspect source code and test web applications, APIs, and infrastructure from a Docker sandbox.

Prerequisites

Docker running locally
An ak_... key from the console

Install

Install the Strix CLI:

curl -sSL https://strix.ai/install | bash

Configure

Use Abliterated Model Large V2 for source code, API, and text-driven web testing:

export LLM_API_KEY="ak_YOUR_API_KEY"
export LLM_API_BASE="https://api.abliteration.ai/v1"
export STRIX_LLM="openai/abliterated-model-large-v2"
export STRIX_CONTEXT_FALLBACK_TOKENS="1000000"

Keep the openai/ prefix in STRIX_LLM. It tells Strix to send OpenAI Chat Completions requests to the configured base URL. Set the context fallback because Strix does not currently have built-in metadata for abliteration.ai model IDs.

Do not append /chat/completions to LLM_API_BASE. Strix adds the endpoint path.

Run a test

Test a local project:

strix --target ./your-app

Test a deployed application:

strix --target https://staging.example.com

For an initial non-interactive run with bounded turns:

strix --non-interactive \
  --scan-mode quick \
  --max-turns 50 \
  --target https://staging.example.com

Only test systems you own or have explicit authorization to assess.

Choose a model

Model	Use it for	Context fallback
`abliterated-model-large-v2`	Recommended for source code, APIs, and difficult text-only assessments	`1000000`
`abliterated-model`	Browser tests that need screenshots or other image inputs	`262144`
`abliterated-model-large`	Compatibility with the previous large model	`1000000`

To use the previous large model:

export STRIX_LLM="openai/abliterated-model-large"
export STRIX_CONTEXT_FALLBACK_TOKENS="1000000"

Both large models are text-only. If an agent needs to inspect screenshots with Strix’s view_image tool, use abliterated-model instead. See models for the complete capability and context-window comparison.

Reasoning and usage limits

All abliteration.ai models reason by default. Strix does not currently recognize their reasoning metadata, so STRIX_REASONING_EFFORT does not change the reasoning level for these model IDs. Each model uses its documented default; see thinking and reasoning effort.

Strix does not currently have pricing metadata for abliteration.ai model IDs. Its estimated cost and --max-budget enforcement may show $0. Use --max-turns to bound an initial run and monitor usage in the console.

Strix may also warn that the selected model is not a recommended frontier model. The warning is based on model-name recognition and does not prevent the scan from running.

Troubleshooting

Authentication fails

Confirm that LLM_API_KEY contains an active ak_... key and that LLM_API_BASE ends in /v1.

Image requests return `400`

The large models are text-only. Switch to openai/abliterated-model and set STRIX_CONTEXT_FALLBACK_TOKENS=262144.

Requests return `429`

Strix can run several agents concurrently. Check your current limits in the console and see rate limits for retry behavior and available tiers.

Get started

Capabilities

Integrations

Policy Gateway

Reference

Use Strix with abliteration.ai

Prerequisites

Install

Configure

Run a test

Choose a model

Reasoning and usage limits

Troubleshooting

Authentication fails

Image requests return `400`

Requests return `429`

​Prerequisites

​Install

​Configure

​Run a test

​Choose a model

​Reasoning and usage limits

​Troubleshooting

​Authentication fails

​Image requests return 400

​Requests return 429

Prerequisites

Install

Configure

Run a test

Choose a model

Reasoning and usage limits

Troubleshooting

Authentication fails

Image requests return `400`

Requests return `429`