Langtrace AI

About Langtrace AI

Langtrace AI key features

• Open Source Observability and Evaluations Platform for AI Agents.
• Simple setup with just 2 lines of code for integration in Python and TypeScript.
• Dashboards for tracking vital metrics such as token usage, cost, latency, and evaluated accuracies.
• Features for measuring baseline performance, curating datasets for evaluations, and prompt version control.
• Enterprise-grade security with SOC2 Type II certification and industry-leading encryption standards.

Langtrace AI use cases

• Transform AI prototypes into enterprise-grade products using Langtrace's observability and evaluation features.
• Measure and improve the performance and safety of AI agents through tracking vital metrics like token usage, cost, and latency.
• Automatically trace GenAI stack and surface relevant metadata for better insights into API requests.
• Store and version control prompts for easy deployment and rollback, enhancing prompt management.
• Ensure enterprise-grade security and compliance with SOC2 Type II standards for safe deployment of AI applications.

Useful for

• Provides observability and evaluations to measure and improve the performance and safety of AI agents.
• Simple setup with minimal effort, requiring only two lines of code for integration.
• Offers dashboards to track vital metrics such as token usage, cost, and latency, enabling informed decision-making.
• Supports a wide range of LLM providers and frameworks, facilitating compatibility and flexibility in deployment.
• Ensures enterprise-grade security and compliance, protecting data with industry-leading encryption standards.

Price

• Token Cost: $6,200
• Budget: $10,000
• Inference Latency: 75ms (Max 120ms)
• Enterprise-grade security with SOC2 Type II certification
• Open Source platform available on GitHub