Langtrace.ai
Open-source observability for AI agents' performance and security.
Langtrace is an observability and evaluation system designed specifically for AI agents. It allows users to track important metrics such as token usage and response times.
This data helps teams assess how well their AI applications are functioning and identify areas for improvement.
Integrating Langtrace is straightforward, requiring just a couple of lines of code, and it supports both Python and TypeScript. Users benefit from features like prompt version control and automatic tracking of API requests.
With a focus on enterprise-grade security, Langtrace ensures that sensitive data remains protected.
Organizations can rely on it to enhance their AI projects and meet compliance standards.
- Track AI application performance
- Monitor token usage in real time
- Evaluate model accuracy metrics
- Implement quick API integrations
- Analyze latency for AI responses
- Version control for AI prompts
- Curate datasets for fine-tuning
- Automate performance evaluations
- Enhance security for AI deployment
- Facilitate compliance with data regulations
- Easy integration with minimal setup
- Supports multiple programming languages
- Provides detailed performance insights
- Ensures enterprise-grade security
- Open-source for community contributions
Transform audio, video, or text into various content types quickly.
An open-source framework for monitoring AI model performance.
AI security and compliance monitoring for organizations.
Continuous monitoring for AI model performance and compliance.
Cloud-based database designed for easy deployment and management.
Automated code optimization for compliance and quality assurance.
Streamlined management of APIs across various cloud environments.
Streamlined cloud management for scalable, secure infrastructure.
Product info
- About pricing: Free + from $31/m
- Main task: Dataset evaluation
- More Tasks
-
Target Audience
Software Developers AI Engineers Data Scientists Product Managers Enterprise IT Teams