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What is Langtrace?

Langtrace is an open-source observability platform designed for AI applications, specifically those built with large language models (LLMs). Developed by Scale3 Labs, it addresses the challenge of monitoring, debugging, and optimizing LLM-powered systems in production. The tool provides end-to-end tracing of LLM calls, enabling developers to track latency, token usage, and errors across different models and providers. It supports popular frameworks like LangChain, LlamaIndex, and OpenAI SDK, making it easy to integrate into existing workflows. Langtrace offers both a hosted cloud version and a self-hosted option, catering to teams with varying security and compliance needs. Its core capabilities include real-time monitoring, cost analysis, and performance insights, helping teams improve response quality and reduce operational overhead. The platform is ideal for AI engineers, ML ops teams, and product developers who need visibility into their LLM applications. By simplifying observability, Langtrace empowers users to build more reliable and efficient AI systems.

AI Tool Review Summary

Performance Score

4.5/5

Content/Output Quality

High, consistent, and on-brand

Interface

Clean and minimal

AI Technology
LLMObservability
Purpose of Tool

To provide observability and monitoring for LLM-powered applications.

Compatibility

Integrates with LangChain, LlamaIndex, OpenAI SDK, and supports self-hosted or cloud deployment.

Pricing

Freemium with paid tiers

Features

Features with the highest value for users are highlighted here.

End-to-end LLM tracing

Token usage and latency monitoring

LangChain and OpenAI integration

Custom evaluation metrics

Self-hosted deployment option

Visual workflow debugging

Error and bottleneck identification

Integration with existing monitoring tools

How It Works

1

Install SDK

Add the Langtrace SDK to your project via pip or npm.

2

Configure Tracing

Set up environment variables and choose which LLM calls to trace.

3

Deploy Application

Run your application as usual; Langtrace automatically captures traces.

4

Monitor Dashboard

View real-time metrics, latency, costs, and errors in the Langtrace dashboard.

Who Is It For?

AI Engineers

ML Ops Teams

Product Managers

Startups

Enterprise Teams

LangChain Developers

Research Labs

Customer Support Teams

DevOps Engineers

Freelance Developers

Pricing

Free

$0/monthly
  • Up to 10,000 traces/month
  • 7-day data retention
  • Community support
Popular

Pro

$49/monthly
  • Up to 100,000 traces/month
  • 30-day data retention
  • Email support
  • Advanced filtering

Enterprise

Custom/monthly
  • Unlimited traces
  • Custom retention
  • SSO
  • Self-hosting option
  • Dedicated support

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Pros & Cons

Pros

  • Comprehensive tracing and monitoring for LLM applications.
  • Open-source with self-hosting for data privacy.

Cons

  • Setup and configuration may require technical expertise.
  • Limited pre-built integrations compared to some commercial tools.

FAQs

Just Launched

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Rating

5.0

Pros

Cons

Quick Langtrace Comparision

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Analytics of Langtrace

Website traffic and keyword analysis.

Live dataFeb 2026 – Apr 2026

Monthly visits

6.88K

-21.6% vs prior month

Avg. visit duration

00:00:19

M 4 2026 snapshot

Pages / visit

1.92

M 4 2026 snapshot

Bounce rate

36.48%

Lower is better

All traffic · Worldwide

Weekly estimate · Feb 1, 2026 – Apr 29, 2026

1.38K1.49K1.61K1.72K1.84KFeb 1Feb 15Mar 1Mar 15Mar 29Apr 8Apr 22Apr 29

Peak week: 1.84K (Feb 1, 2026)Low week: 1.38K (Apr 1, 2026)WoW: 0.0%Derived from monthly estimates · SimilarWeb-equivalent

Release History

0 releases published

No releases yet.

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