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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
4.5/5
High, consistent, and on-brand
Clean and minimal
To provide observability and monitoring for LLM-powered applications.
Integrates with LangChain, LlamaIndex, OpenAI SDK, and supports self-hosted or cloud deployment.
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
Install SDK
Add the Langtrace SDK to your project via pip or npm.
Configure Tracing
Set up environment variables and choose which LLM calls to trace.
Deploy Application
Run your application as usual; Langtrace automatically captures traces.
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
Up to 10,000 traces/month 7-day data retention Community support
Pro
Up to 100,000 traces/month 30-day data retention Email support Advanced filtering
Enterprise
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
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Quick Langtrace Comparision
Side-by-side with top alternatives in this category.
| Tool | Rating | Visits / mo | Global rank | Category rank | Engagement | Bounce | Top market | Starts at | Free tier | Integrations | Action |
|---|---|---|---|---|---|---|---|---|---|---|---|
LangtraceAI Development Tools | 6.9K | #2,798,670 | #28,914 | 20s1.9 pages | US(26%)#2,157,802 | $0 | 3+ | View | |||
deci.aiAI Development Tools | 631.0M | #47 | #4 | 6m 32s6.1 pages | US(20%)#70 | $0 | 1 | View | |||
FinGPTAI Development Tools | 631.0M | #47 | #4 | 6m 32s6.1 pages | US(20%)#70 | $0 | 1 | View | |||
Skywork-R1VAI Development Tools | 631.0M | #47 | #4 | 6m 32s6.1 pages | US(20%)#70 | $0 | 1 | View | |||
PocketPal AIAI Development Tools | 1.1B | — | — | 2m2.6 pages | US(15%) | $0 | 1 | View |
Analytics of Langtrace
Website traffic and keyword analysis.
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
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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