Traceloop is a powerful, developer-centric observability solution for the specific niche of LLM applications, offering a compelling open-source and freemium model.
The open-source observability platform for LLM apps, helping developers debug, test, and monitor their AI applications.
Traceloop provides a suite of open-source tools designed for developers building applications with Large Language Models (LLMs). Through its core SDK, OpenLLM, it offers automatic instrumentation to give teams full visibility into their AI systems. This allows developers to trace the entire lifecycle of a request, from user input and prompt engineering to interactions with vector databases and the final LLM output. The platform is built specifically for debugging, monitoring, and evaluating LLM-powered applications. It tracks key metrics like cost, latency, token usage, and model performance. Users can analyze traces to understand failures, create evaluation datasets to test new prompts or models, and generate high-quality data for fine-tuning. Traceloop is aimed at AI engineering and MLOps teams who need granular control and insight into the behavior and performance of their generative AI products.
Developers, AI engineers, and MLOps teams building applications with Large Language Models (LLMs)
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2023
Tel Aviv, Israel
Self-Hosted
Free
Cloud Dev
Free
Cloud Pro
$20/mo
Enterprise
Custom
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