Ship AI agents you can actually see
See the cost, latency, and quality of every LLM call. Catch bad output before your users do.
“Caught a 10× cost regression 3 days after shipping. Foglamp paid for itself in week one.”
- Week 1Ships clean.
- Week 3Costs doubled, answers worse.
- ThenCustomers start complaining.
the assistant just quoted a refund window we killed in March 😤
is this a bot? it gave me an order number that doesn't exist
@acme your “AI support” confidently invented a tracking link. yikes.
anyone else getting totally wrong answers from the bot today??
One SDK in. Everything out.
Instrument once. Get cost, traces, evals, alerts, and per-agent spend on every call.
SDK
Two lines instruments every generateText / streamText call.
Agents
Per-agent spans, latency, and spend - with the full call flow.
Evals
Score production traffic with code checks and LLM judges.
Distributed traces
Waterfall every run, with the exact prompt and response per span.
Alerts
Threshold rules on cost, latency, and error rate.
Cost intelligence
Know exactly what every call costs — by model, agent, customer.
Your agents are running in the fog.
Cost, latency, errors, eval scores — all there, all invisible. Wrap your model and turn the light on.
