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OpenLIT

Open-source OpenTelemetry-native observability platform for GenAI, LLM and AI application stacks.

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Our Verdict

Right approach with OTel-native GenAI observability; solid pick if you value open standards over polish.

Pros

  • OTel-native tracing for LLM and GenAI apps
  • Open-source with Apache 2.0 license
  • Drop-in with OpenAI, Anthropic, and vector DBs
  • Avoids lock-in to proprietary LLMOps platforms

Cons

  • Young project with evolving APIs
  • Self-hosting burden vs managed Langfuse
  • UI less polished than Braintrust or LangSmith
  • Smaller community than established LLMOps tools
Best for: Teams wanting vendor-neutral LLM observability tied to existing OTel pipelines. Not for: Teams preferring polished managed LLMOps with evals and PM-friendly UX.

When to Use OpenLIT

Good fit if you need

  • OpenTelemetry observability for LLM and GenAI stacks
  • Trace token usage, latency, and cost per LLM call
  • Monitor prompt evaluation quality in AI pipelines
  • Open-source alternative to Langfuse and Helicone

OpenLIT Pricing

Pricing Model
free
Free Tier
Yes
Entry Price
β€”
Enterprise Available
No
Transparency Score
β€”

Beta β€” estimates may differ from actual pricing

1,000
1001K10K100K1M

Estimated Monthly Cost

$25

Estimated Annual Cost

$300

Estimates are approximate and may not reflect current pricing. Always check the official pricing page.

Project Health

B

Health Score

2.4k 266
Bus Factor

5

Last Commit

1 day

Release Freq

3d

Open Issues

36

Issue Response

0d

License

Apache-2.0

Last checked: 2026-04-21

Lock-in Assessment

High 5/5
Lock-in Score
5/5

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