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Description

Netra serves as a robust platform designed for AI agents to monitor, assess, simulate, and enhance the decisions made by these agents, allowing for confident deployments and proactive identification of regressions prior to user exposure. Key Features 1. Observability: Comprehensive tracing capabilities that capture every step of multi-agent, multi-step, and multi-tool processes, detailing inputs, outputs, timings, and costs for each reasoning step, LLM invocation, and tool use. 2. Evaluation: Automated quality assessment for each agent decision, utilizing integrated scoring rubrics, custom evaluations with LLMs and code reviewers, online assessments using live traffic, and continuous integration gates to prevent regressions. 3. Simulation: Evaluate agents under the stress of thousands of both real and synthetic scenarios before they go live. This includes using varied personas, conducting A/B tests against baseline performances, and quantifying confidence levels prior to any user interaction. 4. Prompt Management: Each prompt is versioned, compared, tracked for lineage, and safeguarded against rollbacks, ensuring that every production response can be traced back to its precise prompt version, thereby enhancing accountability and control. In this way, Netra equips developers with the tools necessary to ensure the reliability and effectiveness of their AI systems.

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

API Access

Has API

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Integrations

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

Integrations

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

Pricing Details

$39/month
Free Trial
Free Version

Pricing Details

$39 per month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Netra

Founded

2025

Website

getnetra.ai/

Vendor Details

Company Name

Comet

Founded

2017

Country

United States

Website

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

Product Features

Product Features

Alternatives

Alternatives

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