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Agent Evaluation

non-cncf
Tech Writing Pass

Content Lifecycle & Evolution State

1
Initial Seed
Metadata Loaded
2
First Research
Automated Gathering
3
Tech Writing
Content Structured
4
Approval
Editorial Verified
Tech Writing Pass Completed: The technical overview and features have been structured by our autonomous content agents. Final editorial approval is pending.

Overview

A generative AI-powered framework for testing virtual agents.

Key Features

  • Built-in support for popular AWS services like Amazon Bedrock, Amazon Q Business, and Amazon SageMaker

  • Orchestrate concurrent, multi-turn conversations with your agent while evaluating its responses

  • Define hooks to perform additional tasks such as integration testing

  • CI/CD pipeline integration to expedite time to delivery and maintain stability in production

Use Cases

Testing and validating virtual LLM agents with multi-turn conversations before deploying them to production environments.

Getting Started

Visit the documentation to install the package and configure built-in or custom targets for testing.

Recent Updates

Release of v0.4.1 on March 31, 2025.

Did You Know?

Internally implements an LLM evaluator agent to interact with and critique user-provided target agents.