EAIP vs LangSmith
LangSmith (by LangChain) is the leading observability, tracing and evals product for LLM applications — strongest inside the LangChain/LangGraph ecosystem.
| Dimension | EAIP | LangSmith |
|---|---|---|
| Primary focus | Governed agent platform for regulated enterprises | Observability, tracing and evals for LLM apps |
| Compliance runtime (DPDP/RBI/CERT-In) | DPDP consent ledger, Cedar policy checks, PII redaction and residency routing enforced on every call | Not a focus; compliance is left to the application |
| Data residency enforcement | Region read server-side from the tenant record; India tenants pinned to ap-south-1; financial identifiers hard-floored in-region | US/EU SaaS regions; self-hosted available on enterprise plans |
| Deployment model | BYOC: full platform in your AWS account (ap-south-1), Terraform you can read; pausable to near-zero cost | SaaS-first; self-hosted for enterprise contracts |
| Policy engine | Cedar (AWS-authored policy language) evaluated in-process on every agent action | None (tracing metadata, not enforcement) |
| Audit trail | SHA-256 hash-chained, append-only, 7-year retention aligned with PMLA record-keeping | Rich traces, but not tamper-evident or retention-mandated |
| Agent execution | Full agent execution engine: spec-driven loop, governed tools/MCP, memory, A2A | Brings observability to agents you build with LangGraph/LangChain |
| Pricing model | Platform subscription; model tokens at cost via your own keys | Per-seat + per-trace SaaS tiers |
Where LangSmith is the better fit
- Best-in-class tracing UX and debugging for LangChain/LangGraph applications
- Mature evals tooling (datasets, regression testing, human annotation queues)
- Huge ecosystem, documentation and community; fast iteration
Where EAIP is the better fit
- Compliance controls execute in the request path — an out-of-policy call is blocked, not just traced
- India-first residency and DPDP mechanics built in, not configured around
- Runs entirely inside your AWS account; the audit chain is regulator-grade evidence
Verdict
If you are instrumenting a LangChain app and need world-class traces and evals, pick LangSmith. If an Indian regulator can ask "prove no personal data left the country and no event was altered", you need a runtime, not a tracer — that is EAIP.