◉CLAUDE LABJP
●CONNECTORS — Managed MCP connectors gain connector observability in public beta for adoption, errors, latency, and usage●DIRECTORY — Admins can now submit MCP connectors to the directory directly from Claude●SLACK — Team and Enterprise users can tag Claude in Slack to delegate tasks●ENTERPRISE — Claude Enterprise adds richer admin analytics, model-level entitlements, and spend alerts●MODEL — Claude Sonnet 5 is the default across all plans at $2/$10 per million tokens through August 31●LIMITS — Claude Code weekly usage limits are up 50% through July 13; Claude Science applications close July 15●CONNECTORS — Managed MCP connectors gain connector observability in public beta for adoption, errors, latency, and usage●DIRECTORY — Admins can now submit MCP connectors to the directory directly from Claude●SLACK — Team and Enterprise users can tag Claude in Slack to delegate tasks●ENTERPRISE — Claude Enterprise adds richer admin analytics, model-level entitlements, and spend alerts●MODEL — Claude Sonnet 5 is the default across all plans at $2/$10 per million tokens through August 31●LIMITS — Claude Code weekly usage limits are up 50% through July 13; Claude Science applications close July 15
TAG

Rate limit

2 articles
← Back to all tags
Related:
Claude API24292Headers1Throttling1Cost attribution1Production1retry1production1
⬡ API & SDK/2026-07-07Advanced

When Claude API Suddenly Starts Returning 429 in Production — Field Notes on Measuring Rate-Limit Headroom from Headers and Throttling Before You Run Dry

Scrambling to add retries after a 429 is always a step behind. Claude API writes how much you have left into every response header. These are field notes on measuring that headroom continuously and throttling yourself before it runs out.

⬡ API & SDK/2026-03-29Intermediate

Claude API 429 Errors in Production: Lessons from Six Parallel Content Pipelines

When Claude API starts returning 429 Too Many Requests, the official exponential-backoff snippet alone is rarely enough. Drawing on six content pipelines run by one indie developer, this guide covers the real failure modes I have observed, working Python and TypeScript retry implementations with jitter, a token-bucket throttle, and concrete criteria for moving jobs to the Batch API.