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.
GGustavo Fior· Co-founder @ Foglamp yes, it's me :)
  1. Week 1Ships clean.
  2. Week 3Costs doubled, answers worse.
  3. ThenCustomers start complaining.
Dana#support2m

the assistant just quoted a refund window we killed in March 😤

+1 (415) 555-0148Customer6m

is this a bot? it gave me an order number that doesn't exist

@jordanbuilds12.4k followers14m

@acme your “AI support” confidently invented a tracking link. yikes.

maracommunity21m

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.

import { foglamp } from "foglamp"const fog = foglamp()

Agents

Per-agent spans, latency, and spend - with the full call flow.

orchestrator2.4s
researchersearch()
writerqueued
criticqueued

Evals

Score production traffic with code checks and LLM judges.

No PII
Pass rate:94%

Distributed traces

Waterfall every run, with the exact prompt and response per span.

Alerts

Threshold rules on cost, latency, and error rate.

Latency 440ms

Cost intelligence

Know exactly what every call costs — by model, agent, customer.

ClaudeClaude Opus 4.8$323.12
GeminiGemini 3.5 Pro$43.06
GPT-5.5 mini$85.05
Total$1,248.50

Your agents are running in the fog.

Cost, latency, errors, eval scores — all there, all invisible. Wrap your model and turn the light on.

Start free