Development · Web app
Foglamp
Observability and tracing platform for AI agents using Vercel AI SDK
Foglamp provides distributed tracing, cost intelligence, and evaluations for AI applications built on the Vercel AI SDK with minimal instrumentation. It tracks token usage, latency, and costs per customer, model, or agent, while featuring an embedded AI assistant (Foggy) to query telemetry data via chat.
What it's for
- Track token consumption, latency, and operational costs across LLM models and agent workflows
- Inspect distributed traces to debug multi-step tool calls and agent interactions
- Evaluate agent output quality and get alerted when response accuracy or helpfulness drops
- Query system spend, slowest traces, and model usage using an in-dashboard AI assistant
Features
- Two-line integration built specifically for the Vercel AI SDK
- Distributed tracing showing prompts, tool calls, and span durations
- Cost intelligence breakdown by model, agent, and tenant/customer
- Response evaluation framework with pass/fail scoring and automated alerts
- Foggy in-dashboard chat assistant for querying telemetry and usage metrics
- Self-hosting support alongside cloud deployment
Pricing
Freemium. Free tier available; paid plans for higher usage and team features.
Details
- Type
- Web app
- Category
- Development
- Topic
- LLM Observability
- Open source
- Yes
- Platforms
- Web, Self-hosted, Code library
- For
- Developers and engineering teams building AI agents and LLM features with the Vercel AI SDK.
- Alternative to
- Langfuse, Helicone, Arize Phoenix, LangSmith
- Tags
- observability, tracing, ai agents, vercel ai sdk, llm monitoring, evals
Why it was saved
- @heyimgustavo: Traces, cost breakdowns and evaluation scores for LLM projects, queryable through chat.
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