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About

AgentBench is an evaluation framework specifically designed to assess the capabilities and performance of autonomous AI agents. It provides a standardized set of benchmarks that test various aspects of an agent's behavior, such as task-solving ability, decision-making, adaptability, and interaction with simulated environments. By evaluating agents on tasks across different domains, AgentBench helps developers identify strengths and weaknesses in the agents’ performance, such as their ability to plan, reason, and learn from feedback. The framework offers insights into how well an agent can handle complex, real-world-like scenarios, making it useful for both research and practical development. Overall, AgentBench supports the iterative improvement of autonomous agents, ensuring they meet reliability and efficiency standards before wider application.

About

Ragas is an open-source framework designed to test and evaluate Large Language Model (LLM) applications. It offers automatic metrics to assess performance and robustness, synthetic test data generation tailored to specific requirements, and workflows to ensure quality during development and production monitoring. Ragas integrates seamlessly with existing stacks, providing insights to enhance LLM applications. The platform is maintained by a team of passionate individuals leveraging cutting-edge research and pragmatic engineering practices to empower visionaries redefining LLM possibilities. Synthetically generate high-quality and diverse evaluation data customized for your requirements. Evaluate and ensure the quality of your LLM application in production. Use insights to improve your application. Automatic metrics that helps you understand the performance and robustness of your LLM application.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI developers wanting a tool to manage and evaluate their LLMs

Audience

Developers and researchers searching for a tool to test, evaluate, and monitor the quality of their LLM applications

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

AgentBench
China
llmbench.ai/agent

Company Information

Ragas
United States
www.ragas.io

Alternatives

GLM-4.7

GLM-4.7

Zhipu AI

Alternatives

DeepEval

DeepEval

Confident AI
Qwen3-Max

Qwen3-Max

Alibaba
GLM-4.6

GLM-4.6

Zhipu AI
Prompt flow

Prompt flow

Microsoft

Categories

Categories

Integrations

Claude
Codestral Mamba
DeepEval
Gemini 1.5 Flash
Gemini 1.5 Pro
Gemini 2.0
Gemini 2.0 Flash
Gemini Nano
LangChain
Le Chat
Llama
Llama 3
Llama 3.2
Llama 3.3
MLflow
Mathstral
Ministral 8B
Mistral AI
Mixtral 8x22B
Opik

Integrations

Claude
Codestral Mamba
DeepEval
Gemini 1.5 Flash
Gemini 1.5 Pro
Gemini 2.0
Gemini 2.0 Flash
Gemini Nano
LangChain
Le Chat
Llama
Llama 3
Llama 3.2
Llama 3.3
MLflow
Mathstral
Ministral 8B
Mistral AI
Mixtral 8x22B
Opik
Claim AgentBench and update features and information
Claim AgentBench and update features and information
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Claim Ragas and update features and information