Decidr vs LangSmith
Decidr
decidr.ai
LangSmith
langchain.comSide by side
| Figure | Decidr | LangSmith |
|---|---|---|
| Price from | — | $39/mo |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 3 |
| Spec score · AI Agent Platforms | 8.1 (#28) | 9.0 (#4) |
| Founded | 2018 | 2023 |
| Headquarters | Sydney, New South Wales, Australia | San Francisco, California, United States |
| Integrations | Decidr says its open API and marketplace let existing tools and systems work with its AI-driven workflows. | Documented integrations cover OpenAI, Anthropic, Bedrock, Gemini, Mistral, LiteLLM, OpenTelemetry, CrewAI, Vercel AI SDK, PydanticAI, AutoGen and many other frameworks and providers. |
| Purpose | Decidr describes DecidrOS as a platform for running and growing an agentic organisation. | LangSmith is a commercial agent engineering platform for building, testing, deploying, monitoring, and improving AI agents. |
| Security | Decidr's services agreement says it will maintain administrative, technical, and physical safeguards for client data hosted or processed by Decidr. | LangSmith's trust center lists SOC 2 Type II, ISO 27001:2022, GDPR and HIPAA compliance. |
| Support | Decidr directs support enquiries to [email protected] and says replies typically arrive within 24 hours. | The Developer plan includes community support, and the Enterprise plan lists a support SLA. |
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.