LangSmith vs LogicGaze
LangSmith
langchain.comLogicGaze
logicgaze.comSide by side
| Figure | LangSmith | LogicGaze |
|---|---|---|
| Price from | $39/mo | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 1 |
| Spec score · AI Agent Observability Tools | 9.1 (#4) | 7.7 (#25) |
| Integrations | Documented integrations cover OpenAI, Anthropic, Bedrock, Gemini, Mistral, LiteLLM, OpenTelemetry, CrewAI, Vercel AI SDK, PydanticAI, AutoGen and many other frameworks and providers. | Supported providers include OpenAI, Anthropic, Google Gemini, Azure OpenAI, Mistral, Cohere, Groq, Amazon Bedrock, DeepSeek, xAI Grok, Ollama, Together AI, Perplexity, Meta Llama, and HuggingFace. |
| Purpose | LangSmith is a commercial agent engineering platform for building, testing, deploying, monitoring, and improving AI agents. | LogicGaze is an AI observability platform for tracing LLM calls, evaluating outputs, enforcing guardrails, and tracking costs. |
| SDKs | Official SDK documentation is provided for Python, JavaScript/TypeScript, Go and Java. | LogicGaze provides native Python and TypeScript SDKs, including zero-configuration instrumentation for OpenAI and Anthropic. |
| Self-hosting | Enterprise customers can run LangSmith self-hosted or hybrid on Kubernetes in AWS, Google Cloud or Azure. | The documentation says LogicGaze can be deployed on a customer's own infrastructure with Docker for full data ownership and configuration control. |
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.