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Traceloop

LLM observability platform for monitoring and evaluating AI application quality.

Last updated: Aug 20, 2026

Pricing

Updated: Jul 2, 2025
Starting Price
Free
Pricing Model
freemium
Free Plan
Yes
Free Trial
Yes
14-day Trial

About Traceloop

Traceloop is an observability and evaluation platform built for teams running large language model applications in production. It gives engineering teams real-time visibility into prompts, responses, latency, and cost, and layers built-in evaluators on top of that data to score outputs for qualities like faithfulness, relevance, and safety. Teams can also train custom evaluators tailored to their own quality bar, then wire automated quality gates into pull requests and production pipelines to catch regressions and LLM drift before users notice them. The platform is built on Traceloop's own open-source SDK, OpenLLMetry, which extends OpenTelemetry with LLM-specific instrumentation. It connects to more than 20 model providers including OpenAI, Anthropic, Gemini, Bedrock, and Ollama, plus vector databases such as Pinecone and Chroma, and frameworks like LangChain, LlamaIndex, and CrewAI, with SDKs for Python, TypeScript, Go, and Ruby. Traceloop can run in the cloud, on-premises, or in air-gapped environments, and lists SOC 2 and HIPAA compliance, which suits regulated enterprises. Traceloop was acquired by ServiceNow in 2026, and its technology now feeds into ServiceNow's AI governance tooling, which may shift its roadmap and pricing away from a purely standalone product. Detailed self-serve pricing is not published; the site directs prospective customers to book a demo instead.

At a glance

Company
ServiceNow
Platforms
Web, API
API
Available
Integrations
OpenAI, Anthropic, Gemini, Bedrock, Ollama, Pinecone, Chroma, LangChain
Last verified
August 2026
Last updated: August 20, 2026

Who It's For

  • •AI developers and data scientists.
  • •Machine learning teams deploying large language models.
  • •Organizations needing reliable AI model monitoring.
  • •DevOps teams managing AI infrastructure.

How It Works

  1. 1Automatically monitors the quality of LLM outputs for issues like hallucinations and regressions.
  2. 2Uses instrumentation based on OpenTelemetry to collect metrics, traces, and other observability data.
  3. 3Connects with existing observability platforms such as Datadog, Dynatrace, and Honeycomb.
  4. 4Provides dashboards and analytics to analyze model performance and troubleshoot more efficiently.

How to Use Traceloop

  1. 1Sign up and connect Traceloop to your LLM deployment with a simple integration.
  2. 2Use a single line of code to enable monitoring and tracing in your LLM application.
  3. 3Configure the observability platform to receive and visualize the metrics and traces.
  4. 4Test, debug, and improve your models based on the insights gathered from Traceloop.

Key Features

  • •Real-time prompt and response monitoring
  • •Built-in output evaluators (faithfulness, relevance, safety)
  • •Custom evaluator training
  • •Automated quality gates in CI/CD
  • •LLM drift detection
  • •OpenLLMetry OpenTelemetry-based instrumentation SDK

Use Cases

  • •Monitoring LLM application quality and cost in production
  • •Running automated evaluations before shipping prompt changes
  • •Detecting model drift and regressions
  • •Enforcing quality gates in CI/CD pipelines for AI features

Pros & Cons

Advantages

  • •Provides comprehensive observability for LLMs, including metrics and traces.
  • •Easy to integrate with minimal code changes.
  • •Supports multiple observability platforms, offering flexibility.
  • •Open-source options for monitoring and debugging.

Disadvantages

  • •May require some technical knowledge to set up fully.
  • •Dependent on OpenTelemetry and compatible platforms for best functionality.

Alternatives

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Frequently Asked Questions

What is Traceloop?

Traceloop is an observability and evaluation platform built for teams running large language model applications in production. It gives engineering teams real-time visibility into prompts, responses, latency, and cost, and layers built-in evaluators on top of that data to score outputs for qualities like faithfulness, relevance, and safety.

How much does Traceloop cost?

Traceloop is free to use. A free trial is available.

Is Traceloop free?

Yes, Traceloop offers a free plan you can start with.

What are the best Traceloop alternatives?

Popular Traceloop alternatives include LangSmith, Langfuse, Helicone.

What is Traceloop used for?

Traceloop is commonly used for Monitoring LLM application quality and cost in production, Running automated evaluations before shipping prompt changes, Detecting model drift and regressions.

Does Traceloop have an API?

Yes, Traceloop offers an API for developers.

What platforms does Traceloop support?

Traceloop is available on Web, API.

Information Accuracy

Please note: While we regularly update all tool information including descriptions, features, pricing, and other details, this information may change over time as tools evolve and update their offerings. For the most current and accurate information, we recommend visiting the official website directly. Our goal is to provide you with comprehensive and up-to-date information to help you make informed decisions.