Langtrace is an open-source observability tool designed to analyze and optimize large language model (LLM) applications. By collecting and assessing traces and metrics, it enables developers to improve the performance and reliability of their AI applications.
Langtrace AI
Langtrace is an open-source observability tool designed to analyze and optimize large language model (LLM) applications. By collecting and assessing traces and metrics, it enables developers to improve the performance and reliability of their AI applications.
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Langtrace AI Product Information
What is Langtrace AI?
Langtrace offers a comprehensive suite of features that helps developers monitor and enhance their large language model applications. It utilizes OpenTelemetry standards for compatibility, allowing the collection of traces from various sources and offering insights into performance metrics. This tool assists in identifying trends, anomalies, and areas for improvement, thereby making applications more efficient and reliable. It empowers teams to establish automated evaluations and feedback loops, significantly streamlining the development and enhancement processes of LLM applications.
Who will use Langtrace AI?
- AI Developers
- Data Scientists
- Software Engineers
- Machine Learning Practitioners
How to use the Langtrace AI?
- Step1: Sign up on the Langtrace platform.
- Step2: Integrate Langtrace with your application using the provided SDK.
- Step3: Configure tracing settings according to your requirements.
- Step4: Start collecting traces and metrics.
- Step5: Use the dashboard to visualize and analyze performance data.
Platform
- web
- mac
- windows
- linux
Langtrace AI's Core Features & Benefits
The Core Features of Langtrace AI
- Detailed Traces and Logs
- Automated Evaluations
- Prompt Playground
- End-to-End Observability
The Benefits of Langtrace AI
- Improved application performance
- Enhanced reliability of LLM applications
- Faster debugging and monitoring processes
- Data-driven insights for continuous improvement
Langtrace AI's Main Use Cases & Applications
- Monitoring AI applications
- Debugging LLM systems
- Performance optimization
- Establishing feedback loops
FAQs of Langtrace AI
Langtrace AI Company Information
- Website: https://www.langtrace.ai
- Company Name: Langtrace
- Support Email: support@langtrace.ai
- Facebook: NA
- X(Twitter): NA
- YouTube: NA
- Instagram: NA
- Tiktok: NA
- LinkedIn: NA
Langtrace AI Reviews
5/5
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?
- Datadog
- Grafana
- New Relic
- Elastic
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