☁️ SaaS Model Red-Teaming Guide

This guide shows how to evaluate SaaS-hosted LLMs from providers like OpenAI, Groq, Anthropic, Mistral, and others using DetoxIO’s red-team engine.

You can test these models through the dtx redteam run CLI command, provided your environment is properly configured and the agent is mapped to the correct backend.

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🧠 What Are SaaS Models?

SaaS models are externally hosted large language models served via cloud APIs. These include:

Provider	Sample Models
OpenAI	gpt-4, gpt-4o, gpt-4o-mini
Groq	llama-3.1-8b-instant, mixtral-8x7b
Anthropic	claude-3-opus, claude-instant-1
Mistral	mistral-7b-instruct, mixtral-8x7b
Together	Many open models via proxy

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⚙️ Requirements

Before testing:

• ✅ Your model must be accessible through a supported provider (via LiteLLM or DTX plugin).
• ✅ Required API keys must be set via environment variables, e.g.:

export OPENAI_API_KEY=sk-...
export GROQ_API_KEY=groq-...

• ✅ The model must be registered to a known agent (e.g., groq, openai, anthropic, litellm).

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🚀 Run Examples

🔹 Test Groq + LLaMA 3.1

dtx redteam run \
  --agent groq \
  --url llama-3.1-8b-instant \
  --dataset stingray \
  --max_prompts 100 \
  --html report_groq.html

🔹 Test OpenAI + GPT-4o

dtx redteam run \
  --agent openai \
  --url gpt-4o-mini \
  --dataset stingray \
  --max_prompts 30 \
  --html report_openai.html

🔹 Test via LiteLLM Proxy

dtx redteam run \
  --agent litellm \
  --url mistral/mixtral-8x7b \
  --dataset stingray \
  --max_prompts 50 \
  --html report_proxy.html

Note: When using LiteLLM, the --url format is <provider>/<model> (e.g., groq/mixtral-8x7b or openai/gpt-4).

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📝 Tips

• Use --max_prompts to limit evaluation scope.
• Add --json report.json or --html report.html to save results.
• Combine --fail-fast to stop on first unsafe response.
• For more control, build agents using DtxRunnerConfigBuilder() in Python.

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