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description=Traceloop turns evals and monitors into a continuous feedback loop - so every release gets better;

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traceloop llm reliability platform traceloop is joining servicenow learn more home about pricing blog docs star sign in book a demo ship llm apps 10x faster traceloop turns evals and monitors into a continuous feedback loop so every release gets better book a demo try for free quality blind spots everyone s guessing no one s sure spreadsheets stuffed with ad hoc scores and gut check metrics leave every result in doubt wasting hours hunting down context across tabs reggie have you tried it with claude 4 i heard it s really good so maybe 2 sam no idea why it s better it just is i think 1 llm drift you can t fix what you can t see model quality drops quietly your users feel it before you do traceloop catches the failures before they hit production priya users are complaining it s acting weird again 1 alex feels like it s lost some of the tone we had before 2 take control of your llm traceloop monitors what your model says how fast it responds and when things start to slip so you can debug faster and deploy safely start with raw data end with real answers traceloop turns noisy llm logs into clear insights instantly start tracking in seconds just one line of code gets you live visibility into prompts responses latency and more no setup no hassle run quality checks with zero setup traceloop runs trusted checks like faithfulness relevance and safety using built in metrics applied automatically to your real data get a baseline understanding of model quality without writing a single test define quality on your terms off the shelf metrics don t always cut it with traceloop you can define what quality means for your use case annotate real examples and train a custom evaluator that scores output the way you would make quality part of the pipeline traceloop runs your standard and custom evaluations automatically whether it s on every pull request or in real time as your app runs catch issues early enforce thresholds and ship with confidence traceloop is built for real world teams from startup to enterprise cloud to air gapped we ve got you covered enterprise ready by design soc 2 hipaa compliant deploy traceloop in the cloud on prem or air gapped open standards at the core traceloop is built on opentelemetry and ships with openllmetry our open source sdk giving you transparency without lock in works with every stack connect your llms in python typescript go or ruby using openllmetry or our native opentelemetry based gateway hub compatible with the tools you actually use traceloop supports 20 providers openai anthropic gemini bedrock ollama vector dbs pinecone chroma and frameworks like langchain llamaindex and crewai proudly open source with openllmetry check out our github repository to see contributions and perhaps make your own star ready to engineer reliable ai start tracking testing and improving your llms with traceloop one line of code full observability start now deploy on prem all systems online product sign in status trust product pricing docs company about blog contact legal terms privacy 2026 traceloop