EAIP vs Langfuse
Langfuse is a popular open-source LLM engineering platform — tracing, prompt management, evals and analytics — with a strong self-hosting story.
| Dimension | EAIP | Langfuse |
|---|---|---|
| Primary focus | Governed agent platform for regulated enterprises | Open-source LLM observability, prompt management, analytics |
| Compliance runtime (DPDP/RBI/CERT-In) | DPDP consent ledger, Cedar policy checks, PII redaction and residency routing enforced on every call | Observability data helps audits, but nothing is enforced |
| Data residency enforcement | Region read server-side from the tenant record; India tenants pinned to ap-south-1; financial identifiers hard-floored in-region | Self-host anywhere you choose (residency by deployment, not by policy) |
| Deployment model | BYOC: full platform in your AWS account (ap-south-1), Terraform you can read; pausable to near-zero cost | Excellent self-hosting (Docker/K8s) plus managed cloud |
| Policy engine | Cedar (AWS-authored policy language) evaluated in-process on every agent action | None |
| Audit trail | SHA-256 hash-chained, append-only, 7-year retention aligned with PMLA record-keeping | Traces stored in ClickHouse/Postgres; not hash-chained or retention-mandated |
| Agent execution | Full agent execution engine: spec-driven loop, governed tools/MCP, memory, A2A | Observes agents you run elsewhere; SDK-instrumented |
| Pricing model | Platform subscription; model tokens at cost via your own keys | Free self-hosted core; usage-based cloud |
Where Langfuse is the better fit
- Genuinely open source with a self-host-first design — great for platform teams
- Clean tracing, prompt-versioning and analytics with minimal SDK friction
- Model- and framework-agnostic; wide integration surface
Where EAIP is the better fit
- Enforcement, not just visibility: consent gates, Cedar ACL and redaction sit in the execution path
- The audit trail is designed as legal evidence (tamper-evident chain, PMLA-aligned retention), not analytics
- A complete agent runtime with governed connectors — not an SDK you instrument into your own engine
Verdict
Teams that want open-source LLM observability they fully control should shortlist Langfuse — EAIP itself pairs well with it in development. Regulated enterprises that must enforce policy at runtime and produce regulator-grade evidence choose EAIP.