Keywords AI
Keywords AI vs LangSmith
Compare Keywords AI and LangSmith side by side. Both are tools in the Observability, Prompts & Evals category.
Quick Comparison
| Category | Observability, Prompts & Evals | Observability, Prompts & Evals |
| Pricing | — | Freemium |
| Best For | — | LangChain developers who need integrated tracing, evaluation, and prompt management |
| Website | keywordsai.co | smith.langchain.com |
| Key Features | — |
|
| Use Cases | — |
|
When to Choose Keywords AI vs LangSmith
- Debugging LangChain and LangGraph applications
- Prompt iteration and A/B testing
- LLM output evaluation and scoring
About Keywords AI
Keywords AI provides a comprehensive LLM observability dashboard that tracks every request across 200+ models with detailed metrics including latency, token usage, cost, and quality scores. The platform offers real-time monitoring, request tracing, user analytics, and alerting for production AI applications. Teams use Keywords AI to debug issues, optimize performance, and understand how their LLM-powered features behave in production—all from a single pane of glass.
About LangSmith
LangSmith is LangChain's observability and evaluation platform for LLM applications. It provides detailed tracing of every LLM call, chain execution, and agent step—showing inputs, outputs, latency, token usage, and cost. LangSmith includes annotation queues for human feedback, dataset management for evaluation, and regression testing for prompt changes. It's the most comprehensive debugging tool for LangChain-based applications.
What is Observability, Prompts & Evals?
Tools for monitoring LLM applications in production, managing and versioning prompts, and evaluating model outputs. Includes tracing, logging, cost tracking, prompt engineering platforms, automated evaluation frameworks, and human annotation workflows.
Browse all Observability, Prompts & Evals tools →