LangSmith vs LiteLLM
LangSmith
langchain.com
LiteLLM
litellm.aiSide by side
| Figure | LangSmith | LiteLLM |
|---|---|---|
| Price from | $39/mo | Free |
| 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 | 2 |
| Spec score · LLM Gateway Software | 9.2 (#1) | 7.8 (#15) |
| Spec score · LLM gateways | 9.3 (#2) | 7.8 (#19) |
| Spec score · Llm Developer Tools | 9.0 (#3) | 7.5 (#16) |
| Deployment | Deployment provides managed or self-hosted agent servers with streaming, cron scheduling, authentication, MCP support and more than 30 API endpoints. | The gateway can be self-hosted, including in air-gapped environments, and supports deployment with an official Helm chart or Terraform module. |
| 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 documentation lists observability tools including Langfuse, Datadog, Grafana Cloud, OpenTelemetry, LangSmith, Arize/Phoenix, and Helicone. |
| Security | LangSmith's trust center lists SOC 2 Type II, ISO 27001:2022, GDPR and HIPAA compliance. | The product page describes signed hardened non-root images, vulnerability scanning, SSO/JWT/RBAC controls, and secrets-manager integrations. |
| Support | The Developer plan includes community support, and the Enterprise plan lists a support SLA. | Enterprise includes dedicated support and onboarding, with 24/7 support and SLAs listed on the pricing page. |
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.
LiteLLM
LiteLLM is an open-source AI gateway and LLM proxy for platform teams. It provides one OpenAI-compatible API to 140+ providers and 1,800+ models, with load balancing, lowest-cost routing and automatic selection of cheaper models for simple prompts. Teams can track usage and spend across keys, users, teams, organizations, tools, agents and MCP, then apply hard budgets and rate limits. Response and semantic caching can use Redis, S3 or GCS. LiteLLM can be self-hosted, including in air-gapped environments, and offers deployment through an official Helm chart or Terraform module. The maker says self-hosting has no telemetry and keeps data within the user's infrastructure. Listed security features include hardened non-root images, vulnerability scanning, SSO/JWT/RBAC controls and secrets-manager integrations. The free Open Source plan is self-hosted and includes 100+ providers, virtual keys, budgets, rate limits, fallbacks, logging and Prometheus metrics. A 30-day Enterprise trial key is available without a credit card.