Codex weekly quota depletes faster than actual usage justifies

Annoying. Check for background plugins polling the API since that usually drains your limit fast. My Codex weekly quota is dropping at a rate that makes no sense given my actual workload. I am barely making progress on my project, yet the dashboard indicates I have already consumed a massive portion of my limits. It feels as though the counter increments even without active requests, or perhaps a background process is consuming tokens without producing visible output. ## Why predictability matters for AI workflows Predictability is vital when using this for a real-world AI workflow. Watching limits vanish mid-sprint is a nightmare, particularly when relying on the LLM agent for complex refactoring or repetitive boilerplate. I have refreshed the session and reviewed my API logs, but the math simply does not add up. Potential Culprits ## Potential causes for rapid quota depletion Since the documentation offers no clear explanation, I have been speculating on the cause: - Token Overhead: Massive system prompts or invisible historical logs might be filling the context window, causing small questions to cost thousands of tokens. - Hidden Retries: Unstable connections might trigger background retries. If each retry counts against the quota, a few glitches could exhaust a day's limits in minutes. - Indexing Processes: If Codex re-indexes files every time I save to provide better context, that could trigger massive hidden consumption. How to Audit Your Usage ## Manual checks to monitor token usage If you are concerned about your limits, I suggest these manual checks: 1. Monitor the exact token counts returned in response headers if you have access to raw API calls. 2. Clear your browser cache and disable any extensions that might be interfering with the calls to see if that resolves the issue. 3. Check for any background plugins polling the API since that usually drains your limit fast. 4. Review the logs for any unexpected API requests that might indicate hidden processes. 5. Use the API documentation to understand how tokens are counted for different types of requests.

My usage spiked last Tuesday without me even touching the editor. Is this happening to others? My Codex weekly quota is dropping at a rate that makes no sense given my actual workload. I am barely making progress on my project, yet the dashboard indicates I have already consumed a massive portion of my limits. It feels as though the counter increments even without active requests, or perhaps a background process is consuming tokens without producing visible output. Watching limits vanish mid-sprint is a nightmare, particularly when relying on the LLM agent for complex refactoring or repetitive boilerplate. I have refreshed the session and reviewed my API logs, but the math simply does not add up. Since the documentation offers no clear explanation, I have been speculating on the cause: - Token Overhead: Massive system prompts or invisible historical logs might be filling the context window, causing small questions to cost thousands of tokens. - Hidden Retries: Unstable connections might trigger background retries. If each retry counts against the quota, a few glitches could exhaust a day's limits in minutes. - Indexing Processes: If Codex re-indexes files every time I save to provide better context, that could trigger massive hidden consumption. To investigate this, you could manually check the exact token counts returned in response headers if you have access to raw API calls. Clearing the browser's cache might also help, as cached responses could potentially inflate apparent usage.

Clear your cache! Also try monitoring the exact token counts returned in response headers to verify any hidden usage. Does the dashboard lag actually make the quota look lower for you?