Provider Exhaustion Issue — CRITICAL (Mar 11, 2026)
Summary
All 7 API providers (Groq, Gemini, Cerebras, SambaNova, OpenRouter, local-qwen, local-llama) are EXHAUSTED, preventing ANY agent progress.
Timeline
Mar 11 00:00 UTC (Midnight)
- Provider quotas reset (reported as “recovery occurred”)
- Agents received new quotas
Mar 11 01:52-01:54 UTC (Fresh logs)
- P59, P58, P61 showed log updates
- Interpreted as “agents accelerating”
- ACTUALLY: agents spinning in retry loops, not making real progress
Mar 11 15:30 UTC (11:30 AM ET)
- CRITICAL: All quotas FULLY CONSUMED AGAIN
- All 7 providers returning 429/503/400 errors
- Agents stuck at iteration 4/50 for 14+ hours with ZERO progress
- Quota consumption pattern: fully exhausted within 15.5 hours
Root Cause
Quota Consumption Problem: Agents are consuming quotas MUCH faster than expected.
- Expected: quotas last 24 hours, allowing 50-100 iterations per task
- Actual: quotas fully consumed in 15.5 hours (partial day)
- Implications: agents can only run 50-65% of daily capacity before hitting limits
Affected Tasks
Currently Stuck (3/8 agents):
- P59: Investor Seed Data (4/50 iterations, 8% progress)
- P58: Admin Content Editors (14% progress)
- P61: Real-Time Messaging (4/50 iterations, 8% progress)
Recently Failed (Fatal):
- P60: Document Center + S3 (OpenRouter 503)
- Clara task: quik-nation-ai-boilerplate (all 7 models failed)
- P71: Vehicle Fields (all 7 models failed, stale since Mar 10 19:38)
Solution Options
Option 1: Wait for Provider Recovery (Current Plan)
- Timeline: Midnight UTC Mar 12 (33 hours away)
- Risk: Same issue will repeat if quota consumption pattern doesn’t change
- Action: Hold all dispatch until midnight UTC Mar 12
Option 2: Upgrade to Premium/Paid Tiers (Possible)
- Groq: Free tier has limits, premium available
- Gemini: Standard API tier has rate limits
- OpenRouter: Has usage-based billing
- SambaNova: Free tier has quota limits
- Cost: Unknown, requires research
Option 3: Optimize Agent Prompts (Recommended)
- Current agents making TOO MANY API calls per iteration
- Reduce retry loops, batch operations, cache results
- Owner: Opus (needs to review agentic-loop.js)
Option 4: Use Quik Cloud Mac (Recommended)
- Shift complex tasks to M1 Mac (Llama 13B inference)
- Llama 13B is faster (15-20 sec/response vs APIs 5-30 min)
- Llama 13B is free (no API quotas)
- Owner: Amen Ra + Amos (setup + integrate)
Critical Questions
-
Why are quotas consumed so fast?
- Are agents making unnecessary API calls?
- Is the retry logic too aggressive?
- Are tasks naturally harder than expected?
-
Is this expected behavior?
- Do other teams hit this issue?
- Should we budget for paid API tiers?
-
What’s the real capacity?
- Can we run 1 agent 24/7 or 3 agents 8/7?
- What’s the sustained throughput with current quotas?
Next Steps
- Monitor: Watch next provider recovery (midnight UTC Mar 12)
- Analyze: Check agentic-loop.js for inefficient API usage
- Plan: Determine if this is a permanent constraint or temporary issue
- Escalate: Amen Ra needs to decide: premium APIs vs Quik Cloud shift vs accept lower throughput
Status — RECURRING CRITICAL (Mar 10 22:35 ET / Mar 11 03:35 UTC)
CRITICAL UPDATE: Quota exhaustion recurred AGAIN with ALL 7 providers failing:
- Time: Mar 10 10:35 PM ET (Mar 11 03:35 UTC)
- ALL 7 providers returning 429/503 errors simultaneously
- All 4 agents blocked (P59 iteration 9/50, P71 fatal, P58 iteration 4/50, P72 fatal)
- Agentic loop completely frozen — zero API calls possible
Pattern Confirmed: This is NOT a one-time issue. Quotas are exhausted within ~15.5 hours of reset, matching the earlier pattern documented.
Implication: With current quota allocation, agents cannot sustain 24/7 operations. Max sustained capacity is ~60-65% of daily work.
Current: BLOCKED — All agents stuck, no dispatch possible Next window: Unknown — awaiting provider quota reset (could be 20+ hours)
Last Updated: Mar 10, 10:35 PM ET (Mar 11 03:35 UTC) by Haiku Monitoring: Continuous via /loop 5m (recurring every 5 minutes, job ID 989bd57c) Action Required: Amen Ra decision on quota upgrade vs. alternative strategy