
LangSmith
8.0#1 in llm gateway software$39 usage-basedFree planWebAPILinuxmacOS
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| Fact | LangSmith | TrueFoundry AI Gateway |
|---|---|---|
| Deployment | Deployment provides managed or self-hosted agent servers with streaming, cron scheduling, authentication, MCP support and more than 30 API endpoints. | The gateway supports SaaS and, for Enterprise, VPC, on-premises and air-gapped deployment options. |
| Founded | 2023 | TrueFoundry states it was founded in 2021 by Nikunj Bajaj, Abhishek Choudhary and Anuraag Gutgutia. |
| Funding | LangChain announced a $125 million Series B at a $1.25 billion valuation on October 20, 2025. | TrueFoundry announced a $19 million Series A led by Intel Capital, bringing reported total funding to $21 million. |
| Headquarters | San Francisco, California, United States | San Francisco, California, United States |
| Observability | Its observability features include agent tracing, cost tracking, online LLM-as-judge and code evaluations, trajectory monitoring, and webhook or PagerDuty alerts. | Monitoring covers requests, tokens, cost, latency percentiles, time to first token, inter-token latency and request-level traces. |
| Purpose | LangSmith is a commercial agent engineering platform for building, testing, deploying, monitoring, and improving AI agents. | TrueFoundry AI Gateway sits between applications and model providers to manage AI model access, routing, governance, observability, security and cost controls. |
| Rating on AWS Marketplace | 4.4 out of 5 from 78 external ratings sourced from G2; the listing shows zero AWS-native reviews. | 4.6 out of 5 from 65 ratings |
| Rating on G2 | 4.4 out of 5 from 78 reviews. | 4.6 out of 5 from 59 reviews |
| Rating on Gartner Peer Insights | 4.4 out of 5 from 25 ratings. | 4.8 out of 5 from 249 reviews |
| SDKs | Official SDK documentation is provided for Python, JavaScript/TypeScript, Go and Java. | A public Python gateway SDK supports synchronous and asynchronous clients, streaming agent responses over Server-Sent Events, retries, pagination and custom clients. |
LangSmith suits teams building or operating AI agents that need evaluation, prompt workflows, and observability. It supports both hosted and self-hosted deployment options.
It suits teams that need a shared gateway to manage model access, routing, usage, and governance. Enterprise deployment options may suit organizations that need VPC, on-premises, or air-gapped hosting.