Langtrace.ai
Langtrace is an innovative open-source tool designed for monitoring, evaluating, and optimizing large language model (LLM) applications, empowering developers to enhance performance and reliability.
Langtrace.ai
Langtrace is an innovative open-source tool designed for monitoring, evaluating, and optimizing large language model (LLM) applications, empowering developers to enhance performance and reliability.
Langtrace.ai Product Information
What is Langtrace.ai?
Langtrace provides deep observability for LLM applications by capturing detailed traces and performance metrics. It helps developers identify bottlenecks and optimize their models for better performance and user experience. With features such as integrations with OpenTelemetry and a flexible SDK, Langtrace enables seamless monitoring of AI systems. It is suitable for both small projects and large-scale applications, allowing for a comprehensive understanding of how LLMs operate in real-time. Whether for debugging or performance enhancement, Langtrace stands as a vital resource for developers working in AI.
Who will use Langtrace.ai?
- Data Scientists
- Machine Learning Engineers
- AI Developers
- Product Managers
- DevOps Engineers
How to use the Langtrace.ai?
- Step1: Sign up for an account on Langtrace.
- Step2: Integrate the Langtrace SDK into your LLM application.
- Step3: Configure data collection settings for traces and metrics.
- Step4: Start collecting data and monitoring your application.
- Step5: Analyze the collected data through the Langtrace dashboard.
Platform
- web
- mac
- windows
- linux
Langtrace.ai's Core Features & Benefits
The Core Features of Langtrace.ai
- Deep observability for LLM applications
- Integration with OpenTelemetry
- Real-time performance metrics
- Flexible SDK for data collection
- Detailed trace analysis tools
The Benefits of Langtrace.ai
- Improves application performance
- Facilitates debugging
- Enhances user experience
- Streamlines monitoring processes
- Supports large-scale AI applications
Langtrace.ai's Main Use Cases & Applications
- Performance monitoring of LLM applications
- Debugging AI model issues
- Collecting metrics for research and development
- Optimizing AI applications for scalability
- Evaluating model performance over time
FAQs of Langtrace.ai
Langtrace.ai Company Information
- Website: https://www.langtrace.ai
- Company Name: Scale3 Labs
- Support Email: support@langtrace.ai
- Facebook: NA
- X(Twitter): NA
- YouTube: NA
- Instagram: NA
- Tiktok: NA
- LinkedIn: NA
Analytic of Langtrace.ai
Visit Over Time
Monthly Visits
12.7k
Avg Visit Duration
00:01:09
Page Per Visit
2.27
Bounce Rate
54.04%
Jun 2024 - Aug 2024 All Traffic
Geography
Top 5 Regions
United States
37.23%
Vietnam
23.91%
France
11.21%
United Kingdom
7.84%
India
7.48%
Jun 2024 - Aug 2024 Worldwide Desktop Only
Traffic Sources Traffic Sources
Direct
30.33%
Social
30.04%
Search
25.21%
Referrals
13.95%
Paid Referrals
0.40%
Mail
0.04%
Jun 2024 - Aug 2024 Desktop Only
Top Keywords
| Keyword | Traffic | Cost Per Click |
|---|---|---|
| langtrace | 1.3k | $ -- |
| langtrace docs | 30 | $ -- |
| using llm rust with qdrant | -- | $ -- |
| dspy trace | 20 | $ -- |
| crewai_sdk | 30 | $ -- |
Langtrace.ai's Main Competitors and alternatives?
- New Relic
- DataDog
- Grafana
- Prometheus
- Elastic
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