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Plus subscribers using third-party tools (OpenClaw/Codex connectors) authenticated via OAuth hit 429 quota errors, unable to make API calls despite having active ChatGPT Plus plan. Includes evidence for OpenAI API troubleshooting demand.
429 quota exceeded — OAuth login succeeds but third-party Codex API calls return 429 quota exceeded despite active Plus subscription Developers using OpenAI Python SDK background responses API encounter opaque failure payloads instead of typed RetryableError/InternalServerError exceptions, breaking production retry/backoff logic. Includes evidence for OpenAI API troubleshooting demand.
Status='failed', error.code not mapped to SDK exception class; HTTP poll returns 200 OK but no typed exception raised Production agents running Anthropic/OpenAI get permanently killed by transient 429 errors; users need automatic retry/fallback chain instead of manual intervention Includes evidence for Paperclip (AutoGen-like Agent Framework) troubleshooting demand.
stopReason=error; agent transitions to error state after provider returns 429/rate-limit; no retry or model fallback occurs Paid Codex Plus subscriber gets stuck in infinite retry loop when hitting DDoS-rate limits; needs solution to stop repeated 429 blocking usage Includes evidence for OpenAI API / Codex troubleshooting demand.
exceeded retry limit, last status: 429 Too Many Requests Troubleshoot when a brand-new OpenAI model release immediately triggers model_not_found or access errors in the API SDK despite official launch announcement Includes evidence for OpenAI API troubleshooting demand.
model not accessible / model_not_found for newly released OpenAI models (e.g., o3-mini) Fix OpenAI Python SDK background mode so failed responses surface typed exceptions instead of opaque strings Includes evidence for OpenAI API troubleshooting demand.
status="failed" error code "server_error" not mapped to InternalServerError exception in background=True mode Request ability to configure backoff delay/exponent in OpenAI Python SDK to handle 429 rate limits better Includes evidence for OpenAI API troubleshooting demand.
Need adjustable exponential backoff for OpenAI API rate limit retries with max_retries Distinguish between temporary rate limits (retry-after delay) and quota exhaustion (insufficient_quota) in OpenAI API 429 responses for proper error handling Includes evidence for OpenAI API troubleshooting demand.
RateLimitError raised for both temporary rate limits AND quota exhaustion (insufficient_quota 429s), requiring different handling strategies Production systems experience intermittent silent failures on OpenAI responses API under concurrent load; need timeout handling and error recovery patterns Includes evidence for OpenAI API troubleshooting demand.
GPT-5.1 / GPT-5.4 /responses endpoint silently hangs 10-28% of concurrent requests Add 429 rate-limit error handling to prevent complete system crash during automated LLM backtesting workflows Includes evidence for OpenAI API troubleshooting demand.
[BUG] Full LLM backtest has no Groq rate-limit handling — 429 errors will crash runs Understand how MCP server tool outputs bloat context windows and trigger API rate limits; find workarounds to trim response fields before sending to LLM Includes evidence for OpenAI API troubleshooting demand.
openai.RateLimitError: Error code: 429 - Request too large for gpt-4o in organization on tokens per min (TPM): Limit 30000, Requested 68490 Fix Node.js SDK so 429 exceptions expose rate-limit headers (x-ratelimit-reset-requests, x-ratelimit-reset-tokens) for correct retry logic Includes evidence for OpenAI API troubleshooting demand.
Error code: 429 - rate_limit_exceeded — x-ratelimit-reset-requests header not accessible in exception object Find solutions for managing OpenAI TPM (tokens-per-minute) rate limits when using multiple agent tools, LLM APIs, or concurrent batch processing Includes evidence for OpenAI API troubleshooting demand.
Rate limit reached for gpt-4.x in organization on tokens per min (TPM): Limit XXXXX, Used YYYYY, Requested ZZZZZ. Please try again in W.WWWs. How to handle OpenAI Responses API background mode failures with proper exception classification and retry logic Includes evidence for OpenAI API troubleshooting demand.
background responses failures return opaque error.code (e.g. "server_error", "rate_limit_exceeded") that does not map to SDK exception classes; HTTP poll returns 200 OK so no typed exception raised Fix OpenAI Codex API returning 429 usage_limit_reached; credential pool keeps retrying exhausted OAuth accounts instead of rotating to available ones Includes evidence for OpenAI API troubleshooting demand.
HTTP 429 error.type="usage_limit_reached" message "The usage limit has been reached" — credential pool retries same exhausted account instead of immediate rotation 开发者无法通过标准 except RateLimitError 捕获异步调用中的 429 错误，需要稳定的异常代码来区分不同的 API 失败类型 Includes evidence for OpenAI API troubleshooting demand.
Background response exception lacks stable code/name mapping — RateLimitError cannot be caught reliably Handle insufficient_quota errors from OpenAI API in Python code with proper exception type instead of generic APIError Includes evidence for OpenAI API troubleshooting demand.
insufficient_quota in _exceptions.py — SDK does not raise dedicated InsufficientQuota exception Stop infinite reconnection loop when Codex CLI encounters unavailable model — recover cleanly instead of looping forever Includes evidence for OpenAI API troubleshooting demand.
404 "Model not found gpt-5.2" causes WebSocket fallback + reconnect loop in Codex CLI Handle background mode API failures reliably — classify retries vs non-retriable errors based on error type Includes evidence for OpenAI API troubleshooting demand.
Background Responses API error.code not mapped to SDK exception class; rate_limit_exceeded, server_error return opaque strings without typed exceptions Understand why Azure OpenAI Realtime API token counts from the response.done event don't match expected/consumed tokens; fix billing measurement accuracy Includes evidence for OpenAI API troubleshooting demand.
response.done server event usage object does not match actual token consumption — measuring token usage via OpenAI.Realtime .NET SDK shows discrepancy between reported and expected values