OpenLIT

OpenLIT is a free Apache-2.0 LLM observability platform built around...

7.8/10 Useful

Active

Monthly Self-hosted $0 forever Annual managed cloud coming soon with no public price verified

Best plan

Use the free self-hosted Apache-2

Risk: OpenLIT is strongest for teams comfortable self-hosting...

Try OpenLIT

Editorial · no paid placements

Should you use it?

OpenLIT is a free Apache-2.0 LLM observability platform built around OpenTelemetry. Pick it when engineers want self-hosted traces, metrics, token and cost tracking, prompt workflows, evals, dashboards, and infrastructure monitoring. Wait on it if the buyer needs a fully priced managed cloud route today.

Buy if Engineering teams that already use OpenTelemetry
Pick Use the free self-hosted Apache-2.0 edition when an engineering team wants OpenTelemetry-native LLM traces, costs, metrics, prompt workflows, evals, and dashboards. Wait for cloud pricing before budgeting a managed OpenLIT rollout
Skip if Non-technical teams that need a managed dashboard today

Plan guidance

What to buy

Best plan Use the free self-hosted Apache-2.0 edition when an engineering team wants OpenTelemetry-native LLM traces, costs, metrics, prompt workflows, evals, and dashboards. Wait for cloud pricing before budgeting a managed OpenLIT rollout

Watch: OpenLIT is strongest for teams comfortable self-hosting...

Price range Self-hosted $0 forever; managed cloud coming soon with no public price verified

$0 forever

Upgrade only if Not for non-technical teams that need a managed dashboard today

OpenLIT is strongest for teams comfortable self-hosting...

Current pricing source: OpenLIT pricing

Fit

Use it for this, skip it for that

Best for

Engineering teams that already use OpenTelemetry
AI products that need traces, cost, latency, and token evidence
Teams that want open-source observability before buying a hosted LLMOps platform
Teams monitoring LLM calls, vector databases, GPUs, prompts, and evals together

Avoid if

Non-technical teams that need a managed dashboard today
Buyers that want published hosted-cloud pricing before starting
Teams without capacity to operate telemetry storage and collectors
Teams that need an AI gateway or model router first

Watch out: OpenLIT is strongest for teams comfortable self-hosting and operating telemetry systems; buyers should verify managed-cloud pricing, retention, deployment footprint, and OpenTelemetry backend fit before standardizing.

Recent changes

Only what affects the decision

Jun 28, 2026
Self-hosted OpenLIT
Pricing page lists Apache-2.0 self-hosting with no license key, no usage limits, and no product lock-in
OpenLIT pricing
Jun 28, 2026
OpenLIT Cloud
Do not budget a hosted OpenLIT plan until the cloud price table is public or sales confirms it
OpenLIT pricing

Alternatives

Best swaps

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Open-source LLM gateway and Python SDK for one OpenAI-compatible interface across 100+ model providers, with routing, virtual ke

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Open-source LLM evaluation, red teaming, vulnerability scanning, guardrails, model security, MCP proxy, code scanning, and enter

Community free / Enterprise custom / On-Premise custom · 8.8/10

Build comparison

Proof and score math Verified Jun 28

Proof

Why this recommendation is trusted

Evidence OpenLIT overview docs

Source: Registered source
Freshness: Current
Confidence: High confidence
Verified: Jun 28, 2026
Review: Jul 28, 2026
Volatility: Volatile

High-volatility evidence needs frequent review.

Editorial score

Unweighted average of 4 axes · confidence high

Utility 8/10

How much real work it can do for a competent operator, end to end.
Value 9/10

What you get for the dollar relative to the closest alternative.
Moat 7/10

How hard it would be for a competitor to replicate the underlying advantage.
Longevity 7/10

How likely the product is to still be best-in-class 24 months out.

Verified facts

Best For Engineering teams that want open-source LLM observability with OpenTelemetry traces, metrics, token and cost tracking, prompt workflows, evals, dashboards, and infrastructure monitoring.
high Drifts 2026-06-28 OpenLIT overview docs
Pricing Anchor OpenLIT's pricing page lists the self-hosted product at $0 forever under Apache-2.0, with OpenLIT Cloud marked as coming soon and no public cloud price verified on June 28, 2026.
high Volatile 2026-06-28 OpenLIT pricing
Watch Out For OpenLIT is strongest for teams comfortable self-hosting and operating telemetry systems; buyers should verify managed-cloud pricing, retention, deployment footprint, and OpenTelemetry backend fit before standardizing.
high Volatile 2026-06-28 OpenLIT pricing
Open Telemetry Scope OpenLIT documentation frames the platform around OpenTelemetry collection, traces, metrics, logs, dashboards, evaluations, prompt management, Vault, Fleet Hub, and OpenGround.
high Drifts 2026-06-28 OpenLIT overview docs
Repository Status The OpenLIT GitHub repository was not archived in the June 28, 2026 check and declares an Apache-2.0 license.
high Volatile 2026-06-28 OpenLIT GitHub repository

Full review notes Long-form details, FAQ, and source history

OpenLIT is an open-source LLM observability platform built around OpenTelemetry. It helps engineering teams capture traces, metrics, logs, token usage, cost, latency, prompt history, eval signals, dashboards, and infrastructure telemetry from AI applications.

The buyer reason to care is standards alignment. If the team already thinks in OpenTelemetry, OpenLIT can fit the existing observability architecture more naturally than a closed LLM-only dashboard.

System Verdict

Pick OpenLIT when OpenTelemetry is the operating model. It is strongest when engineering teams want self-hosted LLM traces, costs, metrics, prompt workflows, evals, dashboards, vector DB monitoring, and GPU visibility in one open-source stack.

Skip it when the team needs a priced managed service today. Langfuse, LangSmith, Braintrust, Respan, or Opik may be easier if hosted plans, support, and retention need to be known before implementation.

Best plan guidance: start with the free self-hosted Apache-2.0 edition. Treat managed cloud as unpriced until OpenLIT publishes or confirms a current cloud price.

Key Facts


Core job	OpenTelemetry-native LLM observability
License	Apache-2.0
Public product price	Self-hosted $0 forever
Hosted route	OpenLIT Cloud listed as coming soon
Best fit	Traces, metrics, cost tracking, prompts, evals, dashboards, GPU monitoring
Main caveat	Self-hosting and telemetry operations remain buyer-owned

When To Pick OpenLIT

You use OpenTelemetry already. OpenLIT is easier to justify when traces and metrics should flow into existing observability habits.
You want self-hosted LLMOps. The Apache-2.0 route helps teams inspect, deploy, and adapt the platform.
You need cost and latency evidence. Token, cost, latency, and error data make model changes easier to review.
You need eval and prompt workflows beside traces. Prompt Hub, evaluations, dashboards, and trace history belong in the same engineering review loop.
You monitor infrastructure too. GPU and vector database monitoring make OpenLIT more useful for teams running more than API-only calls.

When To Pick Something Else

Hosted observability: Langfuse or LangSmith when the buyer wants a ready cloud plan and support path.
Evals-first release gates: Braintrust when datasets, experiments, scores, and human review are the main workflow.
Gateway plus LLMOps: Respan, Portkey, or LiteLLM when routing, budgets, fallbacks, or provider policy are the first missing layer.
Code-first evals: Ragas, DeepEval, or promptfoo when tests should live in code before a platform is added.
Hosted open-source eval operations: Opik when Comet-hosted spans, evals, and retention are more important than running the stack yourself.

Pricing

OpenLIT was checked on June 28, 2026 against the official site, docs, pricing page, repository, and license.

Route	Public price	Buyer note
Self-hosted OpenLIT	$0 forever	Apache-2.0, no public license-key or usage-limit requirement on the checked pricing page
OpenLIT Cloud	Coming soon	No public hosted price was verified on June 28, 2026
Support sponsorship	Optional support tiers	Sponsorship is not a product plan and should not be treated as hosted-cloud pricing
Model and infrastructure costs	Depends on stack	Storage, compute, model APIs, collectors, dashboards, and retention remain buyer-owned

The practical buying advice: use OpenLIT when the technical team wants control and OpenTelemetry alignment. Do not assume it is cheaper than hosted tools until you model storage, retention, operations, and incident ownership.

Failure Modes

OpenTelemetry expertise is required. The platform is easier for teams that already understand traces, metrics, exporters, and collectors.
Self-hosted does not mean no cost. Storage, compute, logs, dashboards, and maintenance still cost time and money.
Cloud pricing is not public yet. Wait for a verified hosted price before choosing it for procurement reasons.
Observability is not a gateway. OpenLIT can show what happened, but it is not the routing or budget-control layer by itself.
Eval quality still depends on datasets. Weak labels, synthetic-only checks, or missing human review can make trace data look more useful than it is.

Change History

2026-06-28: Added OpenLIT after verifying official site, docs, pricing, repository status, and Apache-2.0 license.

Methodology

This page was produced by the aipedia.wiki editorial pipeline. Scoring follows the four-dimension rubric at /about/scoring/ (Utility x Value x Moat x Longevity, unweighted average). Last verified 2026-06-28 against OpenLIT official, docs, pricing, repository, and license sources.

FAQ

Is OpenLIT free? Yes for the self-hosted route. OpenLIT’s checked pricing page lists self-hosting at $0 forever under Apache-2.0. Hosted cloud pricing was not public in the June 28 check.

What is OpenLIT best for? OpenLIT is best for engineering teams that want OpenTelemetry-native LLM observability: traces, metrics, logs, token and cost tracking, prompts, evals, dashboards, and infrastructure monitoring.

OpenLIT vs Langfuse? OpenLIT is the more OpenTelemetry-first self-hosted observability lane. Langfuse is a broader open-source LLM engineering platform with a mature hosted pricing ladder and stronger prompt, dataset, and eval workflows for teams that want a ready cloud plan.

Sources

OpenLIT official site: product positioning
OpenLIT overview docs: platform scope, telemetry, prompts, evals, dashboards, and monitoring
OpenLIT pricing: self-hosted pricing and cloud availability status
OpenLIT GitHub repository: repository status
OpenLIT license: Apache-2.0 license

Category: AI Infrastructure · AI Coding · AI Automation
Alternatives: Langfuse · Opik · LangSmith · Arize Phoenix

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News writers

According to aipedia.wiki Editorial at aipedia.wiki (https://aipedia.wiki/tools/openlit/)

APA

aipedia.wiki Editorial. (2026). OpenLIT: Editorial Review. aipedia.wiki. Retrieved July 2, 2026, from https://aipedia.wiki/tools/openlit/

MLA 9

aipedia.wiki Editorial. "OpenLIT: Editorial Review." aipedia.wiki, 2026, https://aipedia.wiki/tools/openlit/. Accessed July 2, 2026.

Chicago

aipedia.wiki Editorial. 2026. "OpenLIT: Editorial Review." aipedia.wiki. https://aipedia.wiki/tools/openlit/.

BibTeX

@misc{openlit-editorial-review-2026,
  author = {{aipedia.wiki Editorial}},
  title = {OpenLIT: Editorial Review},
  year = {2026},
  publisher = {aipedia.wiki},
  url = {https://aipedia.wiki/tools/openlit/},
  note = {Accessed: 2026-07-02}
}

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