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Description
Traceloop is an all-encompassing observability platform tailored for the monitoring, debugging, and quality assessment of outputs generated by Large Language Models (LLMs). It features real-time notifications for any unexpected variations in output quality and provides execution tracing for each request, allowing for gradual implementation of changes to models and prompts. Developers can effectively troubleshoot and re-execute production issues directly within their Integrated Development Environment (IDE), streamlining the debugging process. The platform is designed to integrate smoothly with the OpenLLMetry SDK and supports a variety of programming languages, including Python, JavaScript/TypeScript, Go, and Ruby. To evaluate LLM outputs comprehensively, Traceloop offers an extensive array of metrics that encompass semantic, syntactic, safety, and structural dimensions. These metrics include QA relevance, faithfulness, overall text quality, grammatical accuracy, redundancy detection, focus evaluation, text length, word count, and the identification of sensitive information such as Personally Identifiable Information (PII), secrets, and toxic content. Additionally, it provides capabilities for validation through regex, SQL, and JSON schema, as well as code validation, ensuring a robust framework for the assessment of model performance. With such a diverse toolkit, Traceloop enhances the reliability and effectiveness of LLM outputs significantly.
Description
Voker serves as an innovative Agent Analytics Platform that focuses on the oversight and enhancement of AI agents operating in real-world settings, ensuring that these agents are not merely reactive but genuinely beneficial. This platform enables developers to monitor the interactions of AI agents, pinpoint areas needing improvement, identify any irregularities, and assess progress over time, all without the hassle of sifting through extensive logs or relying solely on user feedback. By linking the performance metrics of agents to tangible business results, Voker allows teams to correlate conversational insights with existing user data, providing clarity on whether an agent is effectively contributing to goals such as user activation, retention, conversion rates, support quality, and other key performance indicators. The user-friendly self-service analytics are tailored for product managers, analysts, and business teams, offering them actionable insights without the issues of support tickets or workflow interruptions. Additionally, developers can easily integrate Voker into their systems using the SDK; they can do this via a simple pip install command or leverage an AI coding tool to quickly set up the SDK, input the necessary API key, and configure an agent within just a few minutes. Thus, Voker not only streamlines the monitoring process but also empowers teams to leverage data for continuous improvement of their AI agents.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
AmpliTube
Go
JSON
JavaScript
LangSmith
Langfuse
LiteLLM
Microsoft Azure
Mixpanel
Integrations
Amazon Web Services (AWS)
AmpliTube
Go
JSON
JavaScript
LangSmith
Langfuse
LiteLLM
Microsoft Azure
Mixpanel
Pricing Details
$59 per month
Free Trial
Free Version
Pricing Details
$80 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
Traceloop
Founded
2022
Country
Israel
Website
www.traceloop.com
Vendor Details
Company Name
Voker
Founded
2024
Country
United States
Website
voker.ai/
