Agent-native inference cloud for serverless AI agents. Optimize frontier agentic workloads efficiently.

AI Agent & LLM Observability Platform
Gimlet: Agent-native inference cloud for serverless AI agents. Optimize frontier agentic workloads efficiently.. LangSmith: AI Agent & LLM Observability Platform. Both tools take different approaches to address similar needs.
LangSmith offers a freemium plan, while Gimlet is a paid tool.
The best choice between Gimlet and LangSmith depends on your specific needs. Compare their features, pricing, and target audience on this page to find the tool that best fits your use case.
Gimlet is primarily designed for businesses and professionals, while LangSmith is built for individuals.
Gimlet offers: Serverless inference specifically designed for AI agents., Runs custom agents combining LLMs, multimodal models, code sandboxes, and data sources., Models workloads as multi-stage graphs for scalable, high-performance execution., Utilizes a multi-silicon architecture for 10x speed ups and improved power efficiency.. LangSmith offers: Cost tracking, Online LLM-as-judge and code evals, Tool and agent trajectory monitoring, Webhook and Pagerduty alerts.
Based on our data, LangSmith currently enjoys greater popularity. However, popularity isn't the only factor — compare features to find the right tool for your needs.