Can I use Syrin and Helicone together?

Yes. They observe different layers. Helicone captures raw LLM call metrics via proxy. Syrin captures the agent decision logic. Teams with cost-sensitivity sometimes use both.

Does Syrin track LLM costs?

Yes. Syrin tracks cost per outcome at the agent level - how much each completed task cost across all LLM calls in that agent run. This is more useful for agent teams than per-call cost tracking.

Does Syrin work as a proxy like Helicone?

No. Syrin instruments your agent code via the SDK rather than acting as an HTTP proxy. This gives it visibility into the full agent decision process, not just the LLM API surface.

Comparison

Syrin vs Helicone

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

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SSyrin

Syrin is the runtime control layer for AI agents. It instruments the full agent pipeline - every LLM call, tool invocation, memory read, and sub-agent handoff - then gives you runtime control: drift alerts, one-click recovery, and live config changes. Not a proxy, not a logger. A control layer.

HHelicone

Helicone is an LLM observability platform that works as a proxy. You route your OpenAI, Anthropic, or other LLM calls through Helicone to get cost tracking, latency metrics, and request logging.

Feature comparison

Syrin wins 6 of 9 categories. Helicone wins 3.

Feature	Syrin	Helicone
What it observes	Full agent pipeline: reasoning, tools, memory, sub-agents	Individual LLM API calls
Multi-agent pipeline tracing	Single trace spanning all agents in a pipeline	Not available
Tool call observability	Every tool call captured with input, output, and timing	Not available (proxy only sees LLM calls)
Behavioral drift detection	Automatic, multi-dimensional	Not available
Production recovery	One-click restore, no redeploy	Not available
LLM cost tracking	Cost per outcome tracked at agent level	Detailed per-call cost tracking across all providers
Setup complexity	2 lines of SDK code	Change your base URL to the Helicone proxy
Provider support	Any LLM via agent framework integration	OpenAI, Anthropic, Google, Azure, and more via proxy
Agent governance	Policy enforcement, approval workflows, audit trail	Not available

Choose Syrin when...

You are building agents (not just making LLM calls)
You need to observe tool use, memory, and multi-step reasoning
You need drift detection and production recovery
You run multi-agent pipelines with sub-agents
You have compliance requirements and need governance policies

Choose Helicone when...

You make direct LLM API calls without an agent framework
You primarily need detailed cost tracking across LLM providers
You want a simple proxy-based setup with zero code changes
You need cross-provider LLM performance benchmarking

Frequently asked questions

Syrin vs Helicone

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