rate limits
Beyond Market Intelligence keeps rate limits in one place: 2 stories so far. The section currently leads with “When AI Prototyping Hits a Wall: Scaling Beyond API Rate Limits” and “AWS Opens Dogwood to Give Agents Smarter Permission Chains”. Running multiple agents in parallel across Llama 3.3 70B and Qwen 2.5 sounds like real progress, until API rate limits slam the door. AWS's open-source Dogwood takes a meaningful step beyond single-request policies. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every rate limits story on Beyond Market Intelligence, newest first.
When AI Prototyping Hits a Wall: Scaling Beyond API Rate Limits
Running multiple agents in parallel across Llama 3.3 70B and Qwen 2.5 sounds like real progress, until API rate limits slam the door. A solo dev hitting RPM/TPM walls isn't failing; they're outgrowing the sandbox. The models still perform. The bottleneck is simply permission to run enough requests at once for meaningful testing. Upgrading isn't always an option when revenue hasn't caught up to ambition yet. That tension between what's possible and what's practical defines the next step.
AWS Opens Dogwood to Give Agents Smarter Permission Chains
AWS's open-source Dogwood takes a meaningful step beyond single-request policies. By extending Cedar with temporal conditions, it lets rules reason about an agent's prior tool calls, covering approvals, rate limits, and running totals. That's a practical answer to a real gap in AI governance. The Apache 2.0 release is solid, though the reference interpreter isn't production-ready yet.