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OpenLLMetry

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Open-source observability for LLMs using OpenTelemetry.

Free plan available, paid tiers aboveVisit Website
Tracked since 2026

The Bottom Line

Price
Free plan available, paid tiers above. Compare plans

Key facts

  • Open-source observability for LLMs.
  • Uses OpenTelemetry for standardized data.
  • Requires only a few lines of code to integrate.

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

What is OpenLLMetry?

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

Key Features

  • Open-source SDK for LLM observability
  • OpenTelemetry standard compliance
  • Python SDK for LLM applications
  • TypeScript/Node.js SDK for LLM applications
  • Workflow tracing for LLM interactions
  • Integration with OpenAI API calls

Pricing Plans

Free Trial

Pricing checked Oct 2, 2026

OpenLLMetry plans and prices, checked October 2026
PlanPriceDetails
Free Forever

$0 / mo

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

Contact us

  • >50K spans / month
  • Unlimited Seats
  • Custom Data Retention
+3 more
  • SOC 2 Compliance
  • On-prem deployment option
  • Dedicated slack support

Included in all plans

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

Is OpenLLMetry worth the price?

Good value

OpenLLMetry offers a generous "Free Forever" tier with up to 50K spans/month, which is excellent for small projects and individual developers.

The "Enterprise" tier is custom-priced, which is standard for larger organizations but lacks transparency for budgeting. This pricing model is best for early-stage LLM projects and enterprises needing tailored observability solutions.

Hidden Costs & Gotchas

No clear pricing for exceeding 50K spans/month on free tier.

Potential for high costs in Enterprise for custom retention.

Full OpenLLMetry pricing: every plan, hidden costs and alternatives

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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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