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SPECIFICTION
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Hexel vs LangSmith

Hexel

hexelstudio.com

LangSmith

langchain.com

Side by side

FigureHexelLangSmith
Price fromFree$39/mo
Free planYesYes
Free trial——
Open source——
Web—Yes
Windows—Yes
macOS—Yes
Linux—Yes
APIYesYes
Self-hosted—Yes
Plans published33
Spec score · AI Agent Platforms7.6 (#42)9.0 (#4)
Spec score · AI Agent Observability Tools7.7 (#24)9.1 (#4)
Founded20242023
IntegrationsThe home page lists LangChain, LlamaIndex, CrewAI, AutoGen, OpenAI, Anthropic, Vercel AI, Pydantic AI, Temporal, Kubernetes, Python, and TypeScript as part of the agent stack it works with.Documented integrations cover OpenAI, Anthropic, Bedrock, Gemini, Mistral, LiteLLM, OpenTelemetry, CrewAI, Vercel AI SDK, PydanticAI, AutoGen and many other frameworks and providers.
ObservabilityHexel records plans, decisions, and tool calls as trace graphs, attributes compute spend by fleet, task, and team, and supports replay of runs.Its observability features include agent tracing, cost tracking, online LLM-as-judge and code evaluations, trajectory monitoring, and webhook or PagerDuty alerts.
SecurityHexel says data is encrypted in transit with TLS 1.2+ and at rest with AES-256 across every plane.LangSmith's trust center lists SOC 2 Type II, ISO 27001:2022, GDPR and HIPAA compliance.
SupportScale includes priority support, while Enterprise includes solutions engineering and a dedicated SLA.The Developer plan includes community support, and the Enterprise plan lists a support SLA.

Plans

Hexel

  • FreeFree
  • EnterprisePrice not published
  • ScalePriced on request

Hexel pricing →

LangSmith

  • DeveloperFree
  • Plus$39 a month
  • EnterprisePriced on request

LangSmith pricing →

In their own words

Hexel

Hexel has no write-up on Specifiction yet; its figures are above.

Visit hexelstudio.com

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.

Visit langchain.com