agenticassure 0.2.0

Test and benchmark LLM-powered AI agents before deployment

AgenticAssure

Test and benchmark your AI agents before they go live.

AgenticAssure is an open-source SDK for testing, benchmarking, and validating LLM-powered AI agents. Define test scenarios in YAML, run them with Python, and get structured reports on agent quality, safety, and performance.

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Quick Install

pip install agenticassure

For optional extras:

pip install agenticassure[similarity]   # semantic similarity assertions
pip install agenticassure[openai]       # OpenAI integration
pip install agenticassure[all]          # everything

Usage

1. Define a scenario in YAML

# scenarios/greeting.yaml
name: greeting-test
description: Verify the agent responds with a polite greeting

steps:
  - input: "Hello, who are you?"
    assertions:
      - type: contains
        value: "hello"
      - type: tone
        value: polite

2. Run with Python

from agenticassure import ScenarioRunner

runner = ScenarioRunner.from_yaml("scenarios/greeting.yaml")
result = runner.run(agent=my_agent)

print(result.passed)   # True / False
print(result.summary)  # Structured report

3. Or use the CLI

agenticassure run scenarios/greeting.yaml --agent my_agent

Features

Core (open-source)

• YAML-based scenario definitions
• Built-in assertion library (contains, regex, JSON schema, tone)
• Semantic similarity assertions (optional)
• CLI and Python API
• Structured test reports with Rich output
• OpenAI and LangChain agent adapters
• Extensible plugin system

Pro (commercial)

• Advanced HTML and PDF report generation
• Multi-agent orchestration testing
• Regression tracking and historical benchmarks
• Slack and email notifications
• Priority support and SLA

Project Structure

agenticassure/
  core/       # Open-source agenticassure package (MIT)
  pro/        # Commercial agenticassure-pro package

Development

# Clone the repo
git clone https://github.com/agenticassure/agenticassure.git
cd agenticassure

# Install core in dev mode
pip install -e "core[dev]"

# Run tests
pytest core/tests

# Lint and format
ruff check core/src
black --check core/src

Documentation

Full documentation is available at docs.agenticassure.com.

Contributing

Contributions are welcome! Please open an issue or submit a pull request on GitHub.

License

The core package is released under the MIT License. The pro package is available under a commercial license -- see pro/ for details.