Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • LM-Kit.NET Reviews & Ratings
    16 Ratings
    Company Website
  • Ango Hub Reviews & Ratings
    15 Ratings
    Company Website
  • Vertex AI Reviews & Ratings
    714 Ratings
    Company Website
  • c/side Reviews & Ratings
    14 Ratings
    Company Website
  • Boozang Reviews & Ratings
    15 Ratings
    Company Website
  • Blackbird API Development Reviews & Ratings
    1 Rating
    Company Website
  • Skillfully Reviews & Ratings
    2 Ratings
    Company Website
  • Unimus Reviews & Ratings
    29 Ratings
    Company Website
  • DataBuck Reviews & Ratings
    6 Ratings
    Company Website
  • AI Video Cut Reviews & Ratings
    1 Rating
    Company Website

What is Traceloop?

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 Guardrails AI?

Our dashboard offers a thorough examination that enables you to verify all crucial information related to request submissions made to Guardrails AI. Improve your operational efficiency by taking advantage of our extensive collection of ready-to-use validators. Elevate your workflow with robust validation techniques that accommodate various situations, guaranteeing both flexibility and effectiveness. Strengthen your initiatives with a versatile framework that facilitates the creation, oversight, and repurposing of custom validators, simplifying the process of addressing an array of innovative applications. This combination of adaptability and user-friendliness ensures smooth integration and application across multiple projects. By identifying mistakes and validating results, you can quickly generate alternative solutions, ensuring that outcomes consistently meet your standards for accuracy, precision, and dependability in interactions with LLMs. Moreover, this proactive stance on error management cultivates a more productive development atmosphere. Ultimately, the comprehensive capabilities of our dashboard transform the way you handle request submissions and enhance your overall project efficiency.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Arize Phoenix
Athina AI
GPT-3
Go
JSON
JavaScript
LiteLLM
Microsoft Azure
Pinecone Rerank v0
Python
Ruby
SQL
TypeScript
VoltAgent

Integrations Supported

Amazon Web Services (AWS)
Arize Phoenix
Athina AI
GPT-3
Go
JSON
JavaScript
LiteLLM
Microsoft Azure
Pinecone Rerank v0
Python
Ruby
SQL
TypeScript
VoltAgent

API Availability

Has API

API Availability

Has API

Pricing Information

$59 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Guardrails AI

Company Website

www.guardrailsai.com

Categories and Features

Categories and Features

Popular Alternatives

Popular Alternatives

Vellum AI Reviews & Ratings

Vellum AI

Vellum
LM-Kit.NET Reviews & Ratings

LM-Kit.NET

LM-Kit
Selene 1 Reviews & Ratings

Selene 1

atla
Selene 1 Reviews & Ratings

Selene 1

atla
Vellum AI Reviews & Ratings

Vellum AI

Vellum