Use both. Here's where each one wins.
Observability tools see failures. Pisama acts on them. They are precondition layers; we are the action layer above. The comparison below is honest about where each one is stronger, not a zero-sum claim.
Pisama vs LangSmith
LangSmith is LangChain's commercial observability product. It is the deepest integration with LangChain and LangGraph and ships an evaluation framework with managed datasets.
Pisama is independent: your model vendor and framework vendor cannot also be your eval vendor without a conflict of interest. Auditor independence is universal in finance, pharma, and security; agent evaluation is the last category to relearn the lesson.
LangSmith handles the trace store and the LangChain-shaped UI. Pisama handles the structural detectors and the cross-framework calibration.
- Tightest LangChain / LangGraph integration in the market
- Managed datasets, evaluator marketplace, prompt hub
- Built-in regression testing against datasets
- Vendor-independent: works across LangGraph, CrewAI, AutoGen, OpenAI Agents, Claude Agent SDK, Bedrock, ADK
- 34 production structural detectors with published F1 scores per detector
- 59.9% on TRAIL where the LangSmith default judge (frontier LLM) sits at 11.6%
- MIT-licensed SDK + CLI; no SaaS lock-in for the detection layer
At a glance
| Dimension | LangSmith | Pisama |
|---|---|---|
| Vendor independence | LangChain product | Independent, MIT-licensed core |
| Framework coverage | LangChain / LangGraph deepest; others via OTel | 12 first-class adapters across vendors |
| Detection mechanism | LLM-judge evaluators (you wire model) | Heuristic + embedding + LLM-judge tiered pipeline |
| TRAIL benchmark | Inherits judge-model performance (11–18%) | 59.9% joint accuracy |
| Pricing | SaaS, seat-based | OSS core free; hosted Heal in private beta |
Recommendation
If you are all-in on LangChain/LangGraph and need the prompt hub + dataset management, run LangSmith. Add Pisama for the detectors LangSmith does not have, especially process-level checks (loops, recursion, persona drift). The two are not substitutes.
FAQ
- Why care about vendor independence?
- When the same vendor builds your runtime, your traces, and your eval graders, you cannot get an honest signal that the runtime regressed. Independent detectors with published F1 numbers and an open dataset are auditable; that is the bar for any safety-relevant evaluation.
- Can Pisama ingest LangSmith traces?
- LangSmith traces export as OpenInference / OpenTelemetry. Pisama ingests both. You do not need to re-instrument.