Engineering Logs for Troubleshooting & Debugging
Problem The Retrieval‑Augmented Generation (RAG) service receives a user query, asks GPT‑3.5 to decompose it into sub‑queries, and then uses each sub‑query as a key for a vector‑store lookup. After a recent model update the service started returning empty or irrelevant document sets: Log entry: INFO sub‑queries generated: [] Log entry: WARN vector search returned … Read more
GPT‑3.5 Webhook Timeout After Moving to an Air‑Gapped Network Problem After migrating an OpenAI GPT‑3.5 integration to an air‑gapped data center, the application began receiving webhook timeout errors when the model attempted to send its response back to the caller. The failure manifests as HTTP 504 responses from the webhook endpoint and corresponding error entries in … Read more
Problem: GPT‑3.5 Inference Timeout During Batch Benchmark on GPU Instance During automated performance runs on a cloud GPU node, each benchmark iteration invokes the OpenAI ChatCompletion endpoint with a max_tokens payload of 256 and a per‑request timeout of 30 seconds. After a few warm‑up batches the script aborts with a job completion timeout error, causing the … Read more
Problem During a planned disaster‑recovery (DR) failover, traffic for the GPT‑3.5 service was rerouted from the primary region (us-east-1) to the backup region (us-west-2). The API slice that serves the text‑completion model continued to return responses that were identical to those generated before the failover, even though the underlying model version had been updated in … Read more
Problem Description Symptoms and Impact During development of a multi‑turn chatbot that uses the OpenAI GPT‑3.5‑turbo model, the API began returning errors after adding a new user turn. Typical log entries looked like: 2024-09-14 10:22:31,842 ERROR openai.error.InvalidRequestError: This model’s maximum context length is 4097 tokens Traceback (most recent call last): File “app.py”, line 112, in … Read more
Problem Description After provisioning a new EC2 instance and adding it as an etcd member to a hybrid on‑premises/AWS cluster, the OpenAI GPT‑3.5 routing layer began serving stale model versions. Requests that should have been directed to gpt-3.5-turbo-0613 were occasionally routed to the older gpt-3.5-turbo-0301 endpoint, causing latency spikes and inconsistent billing. Observed symptoms Intermittent … Read more
Problem Description During a high‑throughput inference window, a service that calls the GPT‑3.5‑turbo‑vision endpoint began returning captions that ignored the supplied image or described unrelated scenes. The issue manifested under load (≈5 000 concurrent multimodal calls) and was intermittent, affecting roughly 2‑3 % of responses. Typical symptoms observed in the logs: [2024-08-05 14:22:31.842] ERROR visual_token_offset mismatch: expected … Read more
Problem Description During automated model evaluation runs in a CI/CD pipeline, intermittent HTTP 429 (RateLimitError) responses are observed. The failures abort the test stage and block downstream deployment steps. Typical console output from a Python test worker: openai.error.RateLimitError: You exceeded your current quota, please check your plan and billing details. Response payload: { “error”: { “message”: … Read more
Problem – “GPT‑3.5 collection creation fails during streaming with memory allocation error” In a distributed inference service that streams completions to many simultaneous users, the OpenAI client throws errors such as: Error: Memory allocation failed RuntimeError: CUDA out of memory OpenAIError: Server error – 500 – Failed to create collection OSError: [Errno 12] Cannot allocate … Read more
Problem – OpenAI GPT‑3.5 API Server Unreachable in a Hybrid Cloud Client applications running in an on‑premises data centre repeatedly receive either a timeout or a 503 Service Unavailable response when calling https://api.openai.com/v1/chat/completions. The symptoms manifest as: Log entry: Error: request timed out after 30 seconds Log entry: 503 Service Unavailable: The server is currently … Read more