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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 AgentScope?

AgentScope is an AI-powered platform that specializes in the observability and operations of agents, offering critical insights, governance, and performance metrics for autonomous AI agents functioning in live environments. It equips engineering and DevOps teams with the tools necessary to monitor, troubleshoot, and optimize complex multi-agent systems in real-time by collecting detailed telemetry on agent behaviors, decisions, resource usage, and outcome quality. With its sophisticated dashboards and timelines, AgentScope allows teams to visualize execution paths, identify bottlenecks, and understand the interactions between agents and various external systems, APIs, and data sources, which significantly improves the debugging process and ensures the reliability of autonomous workflows. Additionally, it features customizable alerts, log aggregation, and organized event views that help teams quickly spot anomalies or errors within distributed fleets of agents. In addition to real-time monitoring, AgentScope provides historical analysis tools and reporting capabilities that support teams in assessing performance trends and identifying model drift over time. By delivering this extensive range of functionalities, AgentScope not only boosts the efficiency of managing autonomous agent systems but also fosters a deeper understanding of system dynamics, ultimately leading to more informed decision-making.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Go
JSON
JavaScript
Microsoft Azure
Pinecone Rerank v0
Ruby
SQL
TypeScript
VoltAgent

Integrations Supported

Claude
Cohere
DeepSeek
Gemini
Java
OpenAI
Perplexity
QwenPaw
React
Stripe

API Availability

API Availability

Has API

Pricing Information

$59 per month
Free Version
Free Trial Offered?

Pricing Information

Free
Free Version

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS
Windows
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Traceloop

Date Founded

2022

Company Location

Israel

Company Website

www.traceloop.com

Company Facts

Organization Name

AgentScope

Company Location

United States

Company Website

agentscope.io

Categories and Features

LLM Evaluation

Not specified

Categories and Features

Agentic AI

Not specified

AI Agent Builders

Not specified

AI Agent Frameworks

Not specified

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