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OpenLLMetry

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Open-source observability for LLMs using OpenTelemetry.

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Tracked since2026
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The Bottom Line

Entry price

Free plan available, paid tiers above

Biggest pro

Leverages open standards (OpenTelemetry)

Biggest con

Requires an OpenTelemetry backend for full visualization

TL;DR - OpenLLMetry

  • Open-source observability for LLMs.
  • Uses OpenTelemetry for standardized data.
  • Requires only a few lines of code to integrate.
Pricing: Free plan available
Best for: Growing teams

What is OpenLLMetry?

Editorial review
OpenLLMetry provides open-source observability for Large Language Models (LLMs) by leveraging the OpenTelemetry standard. It allows developers to instrument their LLM applications with just a few lines of code, enabling them to gain insights into the performance and behavior of their LLM interactions. This tool is designed for developers and teams building applications that integrate with LLMs, such as those using OpenAI's API. It helps in monitoring LLM calls, understanding workflows, and debugging issues by providing structured telemetry data that can be exported to any OpenTelemetry-compatible backend. The key benefit of OpenLLMetry is its ability to standardize LLM observability through OpenTelemetry, making it easier to integrate with existing monitoring stacks and providing a vendor-neutral approach to understanding LLM application performance.

Available on: Web

Pros & Cons

Pros

  • Leverages open standards (OpenTelemetry)
  • Easy integration with minimal code changes
  • Supports both Python and TypeScript/Node.js
  • Provides visibility into LLM application workflows
  • Vendor-neutral for data export

Cons

  • Requires an OpenTelemetry backend for full visualization
  • Limited information on advanced features or customization options from the provided content

Key Features

Open-source SDK for LLM observabilityOpenTelemetry standard compliancePython SDK for LLM applicationsTypeScript/Node.js SDK for LLM applicationsWorkflow tracing for LLM interactionsIntegration with OpenAI API calls

Pricing Plans

Free Trial

Pricing checked Jul 13, 2026

Free Forever

$0 / mo

Everything in all plans, plus:

  • Up to 50K spans / month
  • Up to 5 Seats
  • 24 Hours Data Retention

Enterprise

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Everything in all plans, plus:

  • >50K spans / month
  • Unlimited Seats
  • Custom Data Retention
  • SOC 2 Compliance
  • On-prem deployment option
  • Dedicated slack support

Included in all plans

  • Monitoring Dashboard
  • Evaluation Dashboard
  • CI/CD integration
  • Prompt Management

Reviews

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OpenLLMetry FAQ

How does OpenLLMetry help developers understand their LLM applications?

OpenLLMetry allows developers to instrument their LLM applications with minimal code, providing insights into the performance and behavior of LLM interactions. It helps in monitoring LLM calls, understanding workflows, and debugging issues by generating structured telemetry data.

Which teams benefit most from using OpenLLMetry?

Teams building applications that integrate with Large Language Models (LLMs), particularly those using APIs like OpenAI's, will find OpenLLMetry most beneficial. It is designed for developers who need to monitor and debug their LLM-powered applications.

How is OpenLLMetry priced?

OpenLLMetry is available on a free tier, offering basic functionality. Paid plans are also available for users requiring more extensive usage and additional features.

What kind of data can OpenLLMetry export?

OpenLLMetry exports structured telemetry data, which includes information about LLM calls and application workflows. This data can be sent to any OpenTelemetry-compatible backend for further analysis and visualization.

How does OpenLLMetry compare to LangSmith?

OpenLLMetry differentiates itself by leveraging the open OpenTelemetry standard for LLM observability, offering a vendor-neutral approach to data export. This allows for easier integration with existing monitoring stacks compared to proprietary solutions.

What are the main limitations of OpenLLMetry?

A primary limitation of OpenLLMetry is that it requires an OpenTelemetry backend to fully visualize the collected data. Without a compatible backend, users may not be able to fully leverage its observability capabilities.

Can OpenLLMetry be used with different programming languages?

Yes, OpenLLMetry supports instrumentation for applications written in both Python and TypeScript/Node.js. This allows a broad range of developers to integrate it into their LLM projects.

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