... loop: And this is how to wire it up for your own agent. 1. Instrument the agent The loop begins with seeing everything. Point your agent's OpenTelemetry exporter at Latitude and every interaction arrives as a trace, carrying the model calls, tool calls, retrieved context, latency, and cost. Related traces

... kept seeing the same problem around me. Developers shipping AI products had no clear picture of what was actually happening with their LLM calls in production. Costs were invisible, errors were silent, and when something broke, there was no trace. Spanlens fixes that with two lines of code. You point your existing OpenAI, Anthropic, or Gemini SDK at our proxy URL, swap in a Spanlens API key, and from that point every request is logged, costs are tracked, and agent ... ... traces

... Vite + TS + shadcn, TanStack Query, types generated from the FastAPI OpenAPI spec so frontend + backend never drift - LLMs: OpenAI (GPT-5-nano for cheap structured calls, heavier models for big prompts) with Claude Haiku as fallback. All prompts and traces in Langfuse - Auto-apply: I tested some apis like skyvern , browser use. Ended up building my own - Hosting: Render (web, celery workers, celery beat, static frontend) Auth, billing, perms what you asked about: - Auth: Supabase magic links. Free tier ... ... Massively less code than rolling my own perms layer. Worth the Supabase lock-in IMO. - Billing: not live yet.nmostly a Stripe Checkout wiring job. Observability ended up mattering more than I thought as a solo dev: Langfuse (LLM cost + traces

... focused expertise. Reusable Workflows Code review, debugging, implementation, testing which have built-in patterns you can run with a single command. Multi-Model Discussions Ask multiple AIs (Claude, Gemini, Codex, Grok) together and get a consensus result. Governance & Traceability Guard checks, audit trails, execution traces