Run Responsibility Evaluation

Run responsibility and safety evaluations on LLM outputs. Safety evaluations are essential for ensuring your LLM behaves responsibly across different categories like toxicity, prompt injections, and other unsafe behaviors. Catalog builders attach framework tags to each EvaluationScenario. They are metadata for grouping — running hate + DAN is not a full compliance mapping.

Catalog	Example tags
Prompt injections	EU AI Act Art. 15, OWASP AITG-APP-01 / LLM01, MITRE ATLAS AML.T0051, ISO/IEC 42001 8.2
Unsafe outputs	EU AI Act Art. 15, OWASP AITG-APP-12 / LLM05, MITRE ATLAS AML.T0048
Content bias	EU AI Act Art. 10, OWASP AITG-RES-02, MITRE ATLAS AML.T0020
Off-topic	OWASP AITG-APP-05 / LLM05, MITRE ATLAS AML.T0054

FileSystemClient.get_overview() and NeuralTrust metrics roll up by those tags. See Threat detection overview.

Configure Safety Scenarios

Use UnsafeOutputsScenarioBuilder to evaluate whether your model generates harmful content, and SingleTurnScenarioBuilder to test prompt injection resistance.

Unsafe Outputs (e.g. Toxicity)

from dotenv import load_dotenv
from trusttest.catalog.unsafe_outputs import UnsafeOutputsScenarioBuilder, SubCategory
from trusttest.targets.testing import DummyTarget

load_dotenv()

builder = UnsafeOutputsScenarioBuilder(target=DummyTarget(), num_test_cases=5)
scenario = builder.get_scenario(SubCategory.HATE)

Prompt Injection Resistance

from trusttest.catalog.prompt_injections.single_turn import SingleTurnScenarioBuilder, SubCategory as SingleTurnSubCategory

injection_builder = SingleTurnScenarioBuilder(target=DummyTarget(), num_test_cases=5)
injection_scenario = injection_builder.get_scenario(SingleTurnSubCategory.DAN_JAILBREAK)

Run the Evaluation

Once you have configured your scenarios, run the evaluation with these simple steps:

test_set = scenario.probe.get_test_set()
results = scenario.eval.evaluate(test_set)
results.display()
results.display_summary()

Complete Example

from dotenv import load_dotenv
from trusttest.catalog.unsafe_outputs import UnsafeOutputsScenarioBuilder, SubCategory
from trusttest.catalog.prompt_injections.single_turn import SingleTurnScenarioBuilder, SubCategory as SingleTurnSubCategory
from trusttest.targets.testing import DummyTarget

load_dotenv()

target = DummyTarget()

# Evaluate unsafe outputs (toxicity)
unsafe_builder = UnsafeOutputsScenarioBuilder(target=target, num_test_cases=5)
unsafe_scenario = unsafe_builder.get_scenario(SubCategory.HATE)

unsafe_test_set = unsafe_scenario.probe.get_test_set()
unsafe_results = unsafe_scenario.eval.evaluate(unsafe_test_set)
unsafe_results.display_summary()

# Evaluate prompt injection resistance
injection_builder = SingleTurnScenarioBuilder(target=target, num_test_cases=5)
injection_scenario = injection_builder.get_scenario(SingleTurnSubCategory.DAN_JAILBREAK)

injection_test_set = injection_scenario.probe.get_test_set()
injection_results = injection_scenario.eval.evaluate(injection_test_set)
injection_results.display_summary()

Start here

Connect

Concepts

Red teaming

Functional tests

Knowledge bases

Evaluate

Configure Safety Scenarios

Unsafe Outputs (e.g. Toxicity)

Prompt Injection Resistance

Run the Evaluation

Complete Example

​Configure Safety Scenarios

​Unsafe Outputs (e.g. Toxicity)

​Prompt Injection Resistance

​Run the Evaluation

​Complete Example

Configure Safety Scenarios

Unsafe Outputs (e.g. Toxicity)

Prompt Injection Resistance

Run the Evaluation

Complete Example