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Description

AgentHub serves as a dedicated staging platform designed to emulate, trace, and assess AI agents within a secure and private sandbox, allowing for deployment with assurance, agility, and accuracy. Its straightforward setup enables users to onboard agents in mere minutes, complemented by a strong evaluation framework that offers detailed multi-step trace logging, LLM graders, and customizable assessment options. Users can engage in realistic simulations with adjustable personas to replicate varied behaviors and stress-test scenarios, while dataset enhancement techniques artificially increase test set size for thorough evaluation. The system also supports prompt experimentation, facilitating large-scale dynamic testing across multiple prompts, and includes side-by-side trace analysis for comparing decisions, tool usage, and results from different runs. Additionally, an integrated AI Copilot is available to scrutinize traces, interpret outcomes, and respond to inquiries based on the user's specific code and data, transforming agent executions into clear and actionable insights. Furthermore, the platform offers a combination of human-in-the-loop and automated feedback mechanisms, alongside tailored onboarding and expert guidance to ensure best practices are followed throughout the process. This comprehensive approach empowers users to optimize agent performance effectively.

Description

With a suite observability tools, you can confidently evaluate, test and ship LLM apps across your development and production lifecycle. Log traces and spans. Define and compute evaluation metrics. Score LLM outputs. Compare performance between app versions. Record, sort, find, and understand every step that your LLM app makes to generate a result. You can manually annotate and compare LLM results in a table. Log traces in development and production. Run experiments using different prompts, and evaluate them against a test collection. You can choose and run preconfigured evaluation metrics, or create your own using our SDK library. Consult the built-in LLM judges to help you with complex issues such as hallucination detection, factuality and moderation. Opik LLM unit tests built on PyTest provide reliable performance baselines. Build comprehensive test suites for every deployment to evaluate your entire LLM pipe-line.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Azure OpenAI Service No 
Claude No 
DeepEval No 
Flowise No 
Hugging Face No 
Kong AI Gateway No 
LangChain No 
LiteLLM No 
LlamaIndex No 
OpenAI No 
OpenAI o1 No 
Pinecone No 
Predibase No 
Ragas No 
pytest No 

Integrations

Azure OpenAI Service Yes 
Claude Yes 
DeepEval Yes 
Flowise Yes 
Hugging Face Yes 
Kong AI Gateway Yes 
LangChain Yes 
LiteLLM Yes 
LlamaIndex Yes 
OpenAI Yes 
OpenAI o1 Yes 
Pinecone Yes 
Predibase Yes 
Ragas Yes 
pytest Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$39 per month
Free Trial Yes 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

AgentHub

Founded

2023

Country

United States

Website

www.agenthublabs.com

Vendor Details

Company Name

Comet

Founded

2017

Country

United States

Website

www.comet.com/site/products/opik/

Product Features

Product Features

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Alternatives

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