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Traceloop serves as a comprehensive observability platform specifically designed for monitoring, debugging, and ensuring the quality of outputs produced by Large Language Models (LLMs). It provides immediate alerts for any unforeseen fluctuations in output quality and includes execution tracing for every request, facilitating a step-by-step approach to implementing changes in models and prompts. This enables developers to efficiently diagnose and re-execute production problems right within their Integrated Development Environment (IDE), thus optimizing the debugging workflow. The platform is built for seamless integration with the OpenLLMetry SDK and accommodates multiple programming languages, such as Python, JavaScript/TypeScript, Go, and Ruby. For an in-depth evaluation of LLM outputs, Traceloop boasts a wide range of metrics that cover semantic, syntactic, safety, and structural aspects. These essential metrics assess various factors including QA relevance, fidelity to the input, overall text quality, grammatical correctness, redundancy detection, focus assessment, text length, word count, and the recognition of sensitive information like Personally Identifiable Information (PII), secrets, and harmful content. Moreover, it offers validation tools through regex, SQL, and JSON schema, along with code validation features, thereby providing a solid framework for evaluating model performance. This diverse set of tools not only boosts the reliability and effectiveness of LLM outputs but also empowers developers to maintain high standards in their applications. By leveraging Traceloop, organizations can ensure that their LLM implementations meet both user expectations and safety requirements.
What is Netra?
Netra stands out as a comprehensive platform that empowers AI agents to monitor, evaluate, simulate, and refine their decision-making processes, facilitating secure deployments and the early detection of regressions before users are impacted.
Key Features
1. Observability: It offers extensive tracing capabilities that document every phase of multi-agent, multi-step, and multi-tool workflows, capturing details on inputs, outputs, timing, and costs associated with each reasoning phase, LLM invocation, and tool interaction.
2. Evaluation: The platform includes automated quality assessments for each agent's decisions, employing integrated scoring rubrics, tailored evaluations through LLMs and code reviewers, online assessments with live traffic, and continuous integration checks to avert regressions.
3. Simulation: Agents are subjected to rigorous evaluations under the pressure of thousands of real and synthetic scenarios prior to going live, utilizing diverse personas, performing A/B tests against baseline performance metrics, and measuring confidence levels ahead of any user engagement.
4. Prompt Management: Every prompt is meticulously versioned, compared, tracked for its lineage, and protected against rollbacks, ensuring that every production response can be accurately traced back to its exact prompt version, thus fostering transparency and control.
By providing these essential features, Netra empowers developers with the necessary resources to guarantee the dependability and efficiency of their AI systems while also promoting continuous improvement.
Media
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Integrations Supported
Amazon Web Services (AWS)
Go
JSON
JavaScript
LiteLLM
Microsoft Azure
Pinecone Rerank v0
Python
Ruby
SQL
Integrations Supported
Amazon Web Services (AWS)
Go
JSON
JavaScript
LiteLLM
Microsoft Azure
Pinecone Rerank v0
Python
Ruby
SQL
API Availability
Has API
API Availability
Has API
Pricing Information
$59 per month
Free Trial Offered?
Free Version
Pricing Information
$39/month
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Traceloop
Date Founded
2022
Company Location
Israel
Company Website
www.traceloop.com
Company Facts
Organization Name
Netra
Date Founded
2025
Company Website
getnetra.ai/