About Traceloop
Traceloop is a platform for monitoring and evaluating LLM applications. It turns production traces and evaluations into a loop that helps teams fix problems before the next release.
What it does
Traceloop collects prompts, responses, latency and other details from an LLM app, so teams can see what the model is doing. It runs built-in checks such as faithfulness, relevance and safety on real data. Teams can also define their own quality measures and train a custom evaluator from annotated examples. Evaluations can run on each pull request or in real time while the app is running. The project is built on OpenTelemetry and includes OpenLLMetry, an open source SDK under the Apache-2.0 license.
Key features
- Add tracing to an LLM app with a few lines of code
- Built-in checks for faithfulness and relevance
- Custom evaluators trained on annotated examples
- Evaluations on pull requests or in real time
- Deploy in the cloud, on-prem or air-gapped
Who it's for
The platform suits engineering and platform teams that run LLM features in production and want steady quality checks. A project with no live users may not need continuous monitoring yet.
Pricing and good to know
The site offers a free trial and a demo request. The vendor says it is SOC 2 and HIPAA compliant and supports on-prem and air-gapped installs for stricter needs. Those options are usually arranged with sales.
Highlights
- Add tracing to an LLM app with a few lines of code
- Built-in checks for faithfulness and relevance
- Custom evaluators trained on annotated examples
- Evaluations on pull requests or in real time
- Deploy in the cloud, on-prem or air-gapped
