Foglamp
Foglamp delivers monitoring tools tailored for AI agent operations and LLM interactions.
FreemiumProductivity
Visit website Free to browse · updated 2026-06-19
What is Foglamp?
Foglamp serves as an observability solution designed specifically for teams building and running AI agents. It surfaces detailed metrics on every language model invocation, including resource usage and response characteristics, to support ongoing refinement of agent behavior. Core capabilities include distributed tracing that records full call sequences, automated scoring of production outputs via custom checks, and configurable notifications for performance thresholds. These elements combine to give visibility into agent sessions without requiring extensive additional setup. By instrumenting generate and stream functions once, developers gain access to per-agent breakdowns and workflow summaries that highlight spending patterns and reliability issues over time.
Key features
LLM call monitoring for cost, latency, and quality
Distributed traces with prompts and responses
Evals using code checks and LLM judges
Alerts on cost, latency, and error rate thresholds
Per-agent and per-workflow analytics
Cost intelligence by model, agent, and customer
Two-line SDK integration
What you can use Foglamp for
LLM Cost Monitoring
Track token usage and spending per model, agent, and workflow to identify and prevent cost regressions in production AI systems.
Output Quality Evals
Apply code-based checks and LLM judges to production traffic for scoring pass rates and catching incorrect or low-quality agent responses.
Agent Workflow Tracing
Capture distributed traces with full prompt-response details, latency metrics, and error rates across multi-step agent executions.
How to use Foglamp
- 1Sign up at foglamp.dev and create a project
- 2Install the foglamp SDK in your codebase
- 3Initialize the client and wrap your LLM calls
- 4Deploy agents to start sending traces and metrics
- 5Review dashboards for cost, latency, and evals
- 6Configure alerts and evaluation rules
Foglamp pricing
Pricing model: Freemium. Plan details are indicative — check the site for current prices.
Free
Free
- Spans / month 10,000
- Data retention 3 days
- Projects 1
- Alerts 1
- Evals 5
- Unlimited agents
- Unlimited workflows
- Unlimited traces & sessions
- Unlimited team members
Pro
Popular$49/mo
- Spans / month 1,000,000
- Data retention 14 days
- Projects 5
- Alerts 10
- Evals 20
- Everything in Free + Foggy AI assistant
- Email & Slack alerting
- Priority support
Enterprise
Custom
- Spans / month Custom
- Data retention 90+ days
- Projects Custom
- Alerts Custom
- Evals Custom
- Everything in Pro + SSO / SAML
- Audit logs
- Dedicated support & SLA
Editor's verdict
Pros
- +Easy SDK instrumentation
- +Identifies cost regressions and quality issues
- +Free tier with unlimited agents and traces
Cons
- –Free plan limited to 10k spans/month
- –Data retention only 3 days on free plan
- –Advanced features require paid plans
Our take: Foglamp is a solid productivity choice. It's valued for easy sdk instrumentation and identifies cost regressions and quality issues. The main trade-off is free plan limited to 10k spans/month. A good pick if you want capable AI without a high upfront cost.
Frequently asked questions
Foglamp tracks cost, latency, error rates, and evaluation scores for every LLM call made by AI agents.
Summary
Foglamp is a solid productivity choice. It's valued for easy sdk instrumentation and identifies cost regressions and quality issues. The main trade-off is free plan limited to 10k spans/month. A good pick if you want capable AI without a high upfront cost.
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