Keywords AI
HoneyHive vs LangSmith
Compare HoneyHive and LangSmith side by side. Both are tools in the Observability, Prompts & Evals category.
Quick Comparison
| Category | Observability, Prompts & Evals | Observability, Prompts & Evals |
| Pricing | paid | Freemium |
| Best For | Enterprise teams managing prompts and running evals | LangChain developers who need integrated tracing, evaluation, and prompt management |
| Website | honeyhive.ai | smith.langchain.com |
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| Use Cases | — |
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When to Choose HoneyHive vs LangSmith
- Debugging LangChain and LangGraph applications
- Prompt iteration and A/B testing
- LLM output evaluation and scoring
About HoneyHive
Prompt management + regression evals in one platform. SOC 2 compliant with annotation queues.
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 →