Traceloop
Traceloop provides full visibility into LLM performance by monitoring prompts, responses, and latency to catch failures before production.
Free + paidWebAPI
Visit websitetraceloop.com
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Traceloop provides full visibility into LLM performance by monitoring prompts, responses, and latency to catch failures before production. It allows users to run automatic quality checks for faithfulness and relevance, define custom evaluators for specific use cases, and integrate these metrics into CI/CD pipelines. Designed for development teams from startups to enterprises, it supports various deployment options including cloud and on-premises. Pricing details are not listed on the website.
Key features
- Live tracking of prompts and latency with one line of code
- Automatic quality checks using built-in metrics like faithfulness
- Custom evaluator training for specific use case quality definition
- Integration of evaluations into CI/CD and real-time pipelines
- Enterprise deployment options including air-gapped environments
Pros & cons
Collected from user feedback found in web search
Pricing
Free + paidStarting price: Contact for pricing
View pricing pageVerified on: · Recheck pricing on the official page
Use cases
- Debugging LLM latency and performance issues
- Monitoring prompt faithfulness and safety
- Automated quality checks on pull requests
Who it is for
AI/ML EngineersDevelopers
Integrations
OpenAILangChainLlamaIndexAnthropicAzure OpenAIAWS BedrockCohereHugging FacePrometheusGrafana
Tags
API
How we verified this
Company, pricing, and feature details come from the primary sources below and our latest verification pass. When sources disagree, the official source and the most recent check win.
Last verified 07/28/2026Verified sources: 2
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