LangSmith vs Lunary
LangSmith
langchain.comLunary
lunary.aiSide by side
| Figure | LangSmith | Lunary |
|---|---|---|
| Price from | $39/mo | $20/mo |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 2 |
| Spec score · AI Agent Observability Tools | 9.1 (#4) | 8.2 (#14) |
| Spec score · AI LLM Observability Tools | 9.1 (#3) | 8.3 (#12) |
| Spec score · Model Monitoring Software | 9.0 (#4) | 8.2 (#15) |
| Spec score · LLM Observability Tools | 9.0 (#5) | 8.2 (#15) |
| Deployment | Deployment provides managed or self-hosted agent servers with streaming, cron scheduling, authentication, MCP support and more than 30 API endpoints. | Enterprise customers can deploy Lunary in their own VPC using Kubernetes or Docker. |
| Headquarters | San Francisco, California, United States | San Francisco, California, United States |
| Integrations | Documented integrations cover OpenAI, Anthropic, Bedrock, Gemini, Mistral, LiteLLM, OpenTelemetry, CrewAI, Vercel AI SDK, PydanticAI, AutoGen and many other frameworks and providers. | The integrations directory lists Anthropic, Flowise, LangChain, OpenRouter, IBM WatsonX, Mistral, Grok, Fireworks AI, Ragas, Gemini, AWS Bedrock, OpenAI, Azure OpenAI, LiteLLM and other sources. |
| Observability | Its observability features include agent tracing, cost tracking, online LLM-as-judge and code evaluations, trajectory monitoring, and webhook or PagerDuty alerts. | The product monitors and debugs LLM calls, agents, traces and error stack traces. |
| SDKs | Official SDK documentation is provided for Python, JavaScript/TypeScript, Go and Java. | Official documentation provides Python and JavaScript SDKs plus OpenTelemetry integrations. |
| Security | LangSmith's trust center lists SOC 2 Type II, ISO 27001:2022, GDPR and HIPAA compliance. | Lunary says Lunary Cloud data is encrypted in transit using HTTPS/TLS and encrypted at rest on production servers. |
| Self-hosting | Enterprise customers can run LangSmith self-hosted or hybrid on Kubernetes in AWS, Google Cloud or Azure. | Lunary supports self-hosting; its security page says customers who self-host control their data, while Lunary Cloud is not suitable for HIPAA-compliant data collection. |
| Support | The Developer plan includes community support, and the Enterprise plan lists a support SLA. | The pricing page lists Team support as Priority and Enterprise support as a same-day-plus shared Slack or Teams channel. |
| What it does | LangSmith is LangChain's framework-agnostic platform for observing, evaluating and deploying AI agents. | Lunary is a platform for developers building AI chatbots and other LLM-powered applications. |
Plans
In their own words
LangSmith
LangSmith is a commercial agent-engineering platform for building, evaluating, deploying, monitoring, and improving AI agents. It supports offline evaluations on curated datasets and real-time scoring of production interactions. Evaluation methods include human review, heuristic checks, LLM-as-judge evaluators, pairwise comparisons, and custom Python or TypeScript evaluators. Annotation queues route runs to subject-matter experts for feedback that can calibrate evaluations, improve prompts, or augment datasets. The Playground compares prompt versions or model providers, and LangSmith chat can auto-improve prompts. Observability includes agent and retrieval tracing, token and general cost tracking, trajectory monitoring, online evaluations, and webhook or PagerDuty alerts. Traces can arrive through SDKs or an API from LangGraph, custom Python, or other stacks; SDKs are listed for Python, TypeScript, Go, and Java. Hosting ranges from cloud to hybrid and self-hosted Enterprise options. The Developer plan costs nothing, Plus costs $39 a month, and Enterprise pricing is custom.