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Syrin vs the alternatives

Most tools observe your agents. Syrin controls them. See how Syrin compares to the tools you are already using or evaluating.

Runtime control, not just observability

Observability tells you what happened. Syrin lets you act: change config live, recover without redeploying, enforce governance policies at runtime.

Detects failures that have no stack trace

AI agents fail semantically. HTTP 200, zero errors, wrong outputs. Syrin instruments the decision process - not just the execution path.

Framework-agnostic by design

LangChain, AutoGen, LlamaIndex, CrewAI, n8n, custom agents. One SDK, one dashboard, one control layer - regardless of what built your agents.

Syrin vs LangSmith

LangChain-only observability

Syrin works with every framework. LangSmith only works with LangChain.

Open-source LLM observability

Langfuse logs what happened. Syrin lets you control what happens next.

LLM proxy and call logging

Helicone sees your LLM calls. Syrin sees your agent decisions.

LLM evaluation and offline evals

Braintrust scores your evals. Syrin controls your live agents.

LLM testing and red-teaming

Maxim tests agents before they ship. Syrin controls them after.

AI product analytics

Raindrop tells you how users engage. Syrin controls how agents behave.

Infrastructure APM and monitoring

Datadog dashboards stay green when your agents are wrong.

ML model observability

Arize monitors models. Syrin controls agents at runtime.

Free tier. 2-minute setup. Works with your existing agents.