LangSmith and AI observability: from SSL certificate to full tracing
Getting LangSmith to production means solving 40 problems before you get your first useful trace. Here's why AI observability costs more than advertised.
LangSmith's documentation is clean. Three lines of code, two environment variables, traces appear in the interface. True — in development, on your machine, standard network.
In production, in enterprise infrastructure with network proxy, internal certificate policies, HTTP egress firewall rules — different story. This gap applies to the entire AI observability industry and explains why these projects take 2-3x longer than estimated.
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