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AstraRunner vs LangChain / LangSmith

LangChain ships chains and abstractions; LangSmith ships traces. AstraRunner ships the runtime that runs them in production with observability, cost control, and human approvals baked in.

Who AstraRunner is for

If you are still wiring chains in notebooks, LangChain plus LangSmith is a fine prototyping path. When you need to operate those chains as production software, you need an orchestrator, a budget, and an approval gate. That is us.

When to pick LangChain + LangSmith

·You are doing greenfield research with brand-new model APIs.
·You want the largest community of chain examples to copy from.
·You are not yet shipping to real users.

Feature-by-feature

Side by side

Authoring

Feature	AstraRunner	LangChain + LangSmith
Chain primitives LangChain leads on raw chain DSL.	minimal
Multi-agent teams		partial
Declarative team config

Production runtime

Feature	AstraRunner	LangChain + LangSmith
Long-running orchestrator
Per-team budgets + throttle
Human-in-the-loop		partial
Marathon / continuous runs

Observability

Feature	AstraRunner	LangChain + LangSmith
Hierarchical traces
OTel-native export		partial
Cost dashboards
Failure forensics		partial

Outgrown notebooks?

Move your chains into a production runtime in an afternoon.

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