Langtrace: Free vs Paid — Is the Free Plan Enough?

Q: How does Langtrace compare to Langfuse?

Both are open-source LLM observability tools. Langtrace is built on OpenTelemetry standards for better interoperability with existing observability stacks. Langfuse has a larger community and more integrations.

Q: Can I use Langtrace with my existing APM tools?

Yes. Langtrace uses OpenTelemetry, so traces can be exported to Jaeger, Grafana Tempo, Datadog, and other OTLP-compatible backends alongside agent-specific analysis.

Q: Does Langtrace store my prompts and completions?

By default yes, for debugging purposes. You can configure the SDK to redact or exclude sensitive content from traces.

Q: What's the performance overhead?

Langtrace adds minimal overhead through async trace collection. The SDK is designed to not impact agent response latency.

⚡ Quick Verdict

Stay free if you only need basic features. Upgrade if you need advanced features. Most solo builders can start free.

Try Free Plan →Compare Plans ↓

Who Should Stay Free vs Who Should Upgrade

👤

Stay Free If You're...

✓Small blog owner
✓Basic metrics only
✓Personal website
✓Learning SEO
✓< 1,000 monthly visitors

👤

Upgrade If You're...

✓Marketing professional
✓Multiple websites
✓Competitor analysis
✓Advanced reporting
✓Agency or enterprise

What Users Say About Langtrace

👍 What Users Love

✓Open-source with generous free tier and self-hosting options
✓Built on industry-standard OpenTelemetry for interoperability
✓Extensive integration support for LLM providers and frameworks
✓Real-time observability with detailed trace visualization
✓Complete data ownership with self-hosted deployment option

👎 Common Concerns

⚠TypeScript SDK has limited framework support compared to Python
⚠AGPL license may be restrictive for some commercial use cases
⚠Self-hosted setup requires managing multiple services (Next.js, Postgres, ClickHouse)
⚠Pricing model scales per-user which can become expensive for larger teams
⚠Limited semantic conventions as standards are still evolving

Frequently Asked Questions

How does Langtrace compare to Langfuse?

Both are open-source LLM observability tools. Langtrace is built on OpenTelemetry standards for better interoperability with existing observability stacks. Langfuse has a larger community and more integrations.

Can I use Langtrace with my existing APM tools?

Yes. Langtrace uses OpenTelemetry, so traces can be exported to Jaeger, Grafana Tempo, Datadog, and other OTLP-compatible backends alongside agent-specific analysis.

Does Langtrace store my prompts and completions?

By default yes, for debugging purposes. You can configure the SDK to redact or exclude sensitive content from traces.

What's the performance overhead?

Langtrace adds minimal overhead through async trace collection. The SDK is designed to not impact agent response latency.

Ready to Try Langtrace?

Start with the free plan — upgrade when you need more.

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More about Langtrace

Pricing Review Alternatives Pros & Cons Worth It?Tutorial

📖 Langtrace Overview 💰 Langtrace Pricing & Plans ⚖️ Is Langtrace Worth It?🔄 Compare Langtrace Alternatives

Last verified March 2026

What Users Say About Langtrace

👍 What Users Love

✓Open-source with generous free tier and self-hosting options
✓Built on industry-standard OpenTelemetry for interoperability
✓Extensive integration support for LLM providers and frameworks
✓Real-time observability with detailed trace visualization
✓Complete data ownership with self-hosted deployment option

👎 Common Concerns

⚠TypeScript SDK has limited framework support compared to Python
⚠AGPL license may be restrictive for some commercial use cases
⚠Self-hosted setup requires managing multiple services (Next.js, Postgres, ClickHouse)
⚠Pricing model scales per-user which can become expensive for larger teams
⚠Limited semantic conventions as standards are still evolving

Frequently Asked Questions

How does Langtrace compare to Langfuse?

Can I use Langtrace with my existing APM tools?

Yes. Langtrace uses OpenTelemetry, so traces can be exported to Jaeger, Grafana Tempo, Datadog, and other OTLP-compatible backends alongside agent-specific analysis.

Does Langtrace store my prompts and completions?

By default yes, for debugging purposes. You can configure the SDK to redact or exclude sensitive content from traces.

What's the performance overhead?

Langtrace adds minimal overhead through async trace collection. The SDK is designed to not impact agent response latency.