Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
telemetry.dev serves as an observability platform that is fully integrated with OpenTelemetry, specifically designed for AI agents and applications involving large language models. It enables developers to monitor various elements such as model calls, tool steps, retrievals, logs, and metrics, while also allowing them to analyze issues relating to failures, latency, token consumption, and projected expenses. Additionally, users can draw comparisons across different models, providers, and environments to gain deeper insights into performance. The platform features native support for TypeScript and Python SDKs, along with integrations for various providers and frameworks, as well as standard OTLP/HTTP ingestion methods. To enhance data privacy and security, it incorporates environment-specific capture controls, SDK masking, and server-side redaction, ensuring that teams can effectively manage the sensitive content associated with prompts, responses, and telemetry data. This comprehensive functionality enables organizations to optimize their AI applications and ensure robust observability across their operations.
API Access
Has API
No
API Access
Has API
Yes
Integrations
LiteLLM
Yes
Amazon Web Services (AWS)
Yes
Anthropic
No
Claude Code
No
Go
Yes
JSON
Yes
JavaScript
Yes
LangChain
No
Microsoft Azure
Yes
Model Context Protocol (MCP)
No
Integrations
LiteLLM
Yes
Amazon Web Services (AWS)
No
Anthropic
Yes
Claude Code
Yes
Go
No
JSON
No
JavaScript
No
LangChain
Yes
Microsoft Azure
No
Model Context Protocol (MCP)
Yes
Pricing Details
$59 per month
Free Trial
Yes
Free Version
Yes
Pricing Details
$0/month
Prices are per organization per month. Free includes 30,000 ingestion units per month, 14-day retention, 1 project, and 2 seats. Pro is $25 per month with 500,000 ingestion units, 30-day retention, 5 projects, and 5 seats. Team is $50 per month with 2 million ingestion units, 90-day retention, unlimited projects and seats, and priority support. One normalized span, OTLP log record, or metric data point counts as one ingestion unit. Paid ingestion continues beyond the listed allowances without automatic overage charges; the vendor may contact consistently high-usage customers.
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Traceloop
Founded
2022
Country
Israel
Website
www.traceloop.com
Vendor Details
Company Name
telemetry.dev
Website
telemetry.dev/