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Traceloop

Monitoring and evaluation platform for LLM developers

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Traceloop is an observability and evaluation platform for LLM applications. It monitors model outputs, response speed, and quality drift, turning raw LLM logs into insights so teams can catch failures before they reach production. It runs built-in quality checks such as faithfulness, relevance, and safety, and lets teams annotate real examples to train a custom evaluator that scores output according to their own definition of quality. Standard and custom evaluations run automatically in CI/CD pipelines or in real time as the app runs.

The platform is built on OpenTelemetry and ships with OpenLLMetry, an open-source SDK, along with a native OpenTelemetry-based gateway called Hub. It connects via Python, TypeScript, Go, or Ruby, and supports providers including OpenAI, Anthropic, Gemini, Bedrock, and Ollama, vector databases such as Pinecone and Chroma, and frameworks like LangChain, LlamaIndex, and CrewAI. Features include a monitoring dashboard, evaluation dashboard, CI/CD integration, and prompt management.

Traceloop is aimed at teams building and operating LLM applications, from startups to enterprises, with cloud, on-prem, and air-gapped deployment options. It offers a free plan with limits on monthly spans and seats, a 14-day trial, and an Enterprise edition with unlimited seats, custom data retention, SOC 2 compliance, and dedicated support. It is also available through the AWS, GCP, and Azure Marketplaces.

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