LangSmith vs VoltOps
LangSmith
langchain.comVoltOps
voltagent.devSide by side
| Figure | LangSmith | VoltOps |
|---|---|---|
| Price from | $39/mo | $50/mo |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 4 |
| Spec score · AI Agent Observability Tools | 9.1 (#4) | 7.7 (#27) |
| Data use | LangChain states that LangSmith data is not used to train models and remains owned by the customer. | VoltAgent says it does not use customer data to train models and uses it only for monitoring and analytics. |
| Deployment | Deployment provides managed or self-hosted agent servers with streaming, cron scheduling, authentication, MCP support and more than 30 API endpoints. | Deployment offers custom domains, automatic SSL provisioning and renewal, real-time logs, and HTTP Basic Auth. |
| Security | LangSmith's trust center lists SOC 2 Type II, ISO 27001:2022, GDPR and HIPAA compliance. | VoltAgent says its cloud data is stored in SOC 2 compliant data centers with encryption at rest and in transit. |
| Self-hosting | Enterprise customers can run LangSmith self-hosted or hybrid on Kubernetes in AWS, Google Cloud or Azure. | The Enterprise plan includes self-hosted deployment, with customer data remaining in the customer's infrastructure. |
| Tracing | Tracing records agent conversations and runs step by step, including prompts, model calls, tools, errors, latency and token usage. | VoltOps traces LLM calls, tool executions, and agent interactions, with session replay and payload inspection. |
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.
VoltOps
VoltOps is a console for observing, automating, evaluating, deploying, and managing AI agents, with prompt management and guardrails. It traces LLM calls, tool executions, and agent interactions, with session replay and payload inspection. Alerts can cover latency, errors, and token usage, with notifications through Slack, email, or webhooks. Evaluation tools include reusable datasets, queued parallel test cases, multiple scorers, and comparisons across runs. Prompt management versions edits, supports rollback and promotion to staging or production, and handles JSON import and export. Automation provides actions for Airtable, Discord, and Gmail, plus triggers for Slack messages, Gmail emails, GitHub webhooks, and Airtable updates. RAG supports document uploads, Notion syncing, and website crawling without setting up a vector database. Deployment includes custom domains, SSL provisioning and renewal, real-time logs, and HTTP Basic Auth. The Developer plan costs nothing and includes one seat, project, and prompt, plus 250 traces per month and seven days of retention. Core costs $50 a month; Pro costs $250 a month. Both include a 14-day free trial. Enterprise pricing is custom and includes self-hosted deployment.