Average Ratings 1 Rating

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features
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Average Ratings 1 Rating

Total
ease
features
design
support

Description

Utilize BenchLLM for real-time code evaluation, allowing you to create comprehensive test suites for your models while generating detailed quality reports. You can opt for various evaluation methods, including automated, interactive, or tailored strategies to suit your needs. Our passionate team of engineers is dedicated to developing AI products without sacrificing the balance between AI's capabilities and reliable outcomes. We have designed an open and adaptable LLM evaluation tool that fulfills a long-standing desire for a more effective solution. With straightforward and elegant CLI commands, you can execute and assess models effortlessly. This CLI can also serve as a valuable asset in your CI/CD pipeline, enabling you to track model performance and identify regressions during production. Test your code seamlessly as you integrate BenchLLM, which readily supports OpenAI, Langchain, and any other APIs. Employ a range of evaluation techniques and create insightful visual reports to enhance your understanding of model performance, ensuring quality and reliability in your AI developments.

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 Yes 

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) No 
In Person No 

Types of Training

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

Vendor Details

Company Name

BenchLLM

Website

benchllm.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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