Langtrace is an Open Source Observability and Evaluations Platform designed for AI Agents. It provides tools to trace API requests, track vital metrics like token usage and latency, and measure performance through automated evaluations. This platform helps developers transition AI prototypes into secure, enterprise-grade products by offering prompt version control and deep insights into LLM application behavior.
Funding
$5.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
RFounders
Product
Problem
Developing and maintaining reliable AI applications requires careful monitoring and debugging of AI pipelines. Existing tools often lack the real-time insights and metrics needed to effectively iterate and improve the performance and security of AI agents. This makes it difficult for developers to ensure the quality and safety of their AI-powered products.
Solution
Langtrace is an open-source observability platform designed to help developers monitor, debug, and evaluate AI pipelines. By providing real-time insights into token usage, latency, and accuracy, Langtrace enables teams to iterate effectively and enhance the performance and security of their AI agents. The platform offers dashboards to track vital metrics, explore API requests, and measure baseline performance through evaluations. It supports prompt version control and a playground for comparing prompt performance across different models.
Target Audience
Langtrace is designed for AI application developers and teams who need to monitor, debug, and evaluate their AI pipelines to ensure reliable performance and security.
Features
- Real-time dashboards for tracking token usage, cost, latency, and evaluated accuracies
- Automated tracing of GenAI stacks to surface relevant metadata
- Evaluation tools to measure baseline performance and curate datasets for automated evaluations and finetuning
- Prompt version control for storing, versioning, deploying, and rolling back prompts
- Playground for comparing prompt performance across different models
- Simple, non-intrusive setup with SDK support in Python and TypeScript
- Support for popular LLMs, frameworks (CrewAI, DSPy, LlamaIndex, Langchain), and vector databases
- Enterprise-grade security with industry-leading encryption standards and SOC2 Type II certification