Engineering Logs for Troubleshooting & Debugging
Problem Developers attempting to call the OpenAI GPT‑4o API from a local development machine using SAML‑based Single Sign‑On receive the following error response: { “error”: { “code”: “invalid_saml_assertion”, “message”: “SAML assertion invalid” } } The failure occurs during the Authorization: Bearer <SAML‑assertion> step, preventing any API request from succeeding. Root Cause The OpenAI API validates … 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
OpenAI GPT‑4o Embedding Dimension Mismatch During Model Evaluation Pipeline Problem During the nightly evaluation of a large‑scale text similarity benchmark, the pipeline that extracts vector representations from the OpenAI GPT‑4o model crashes with the following error: Traceback (most recent call last): File “evaluate.py”, line 112, in run embedding = get_gpt4o_embedding(text) File “gpt4o_client.py”, line 58, in … 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 During fine‑tuning of the OpenAI GPT‑4o model on a single GPU (e.g., A100 40 GiB, RTX 4090 24 GiB), the training loop crashes with a CUDA out‑of‑memory (OOM) error when the batch size or sequence length is increased. A typical failure looks like: RuntimeError: CUDA out of memory. Tried to allocate 12.34 GiB (GPU 0; 24.00 … 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 adding a fourth GPU node to a distributed inference cluster for OpenAI GPT‑4o with Retrieval‑Augmented Generation (RAG), the citations field in the model response became malformed. Typical symptoms observed in production logs include: JSON parsing errors such as “Error parsing citation: unexpected token ””. Missing or truncated brackets in the citation array, … Read more
Problem – Admission Controller Rejects GPT‑4 Canary Pods During a staged rollout of a new GPT‑4 inference service, the canary pods never reach the Running state. The Kubernetes API server returns a 403 error from the pod-security-admission webhook and a custom model‑policy webhook. Typical log excerpts look like: Error from server (Forbidden): admission webhook “pod-security-admission” … Read more
Problem Description In a multi‑region deployment of a Retrieval‑Augmented Generation (RAG) pipeline, the metadata filter applied during vector retrieval is dropping documents that are actually relevant. The symptom is an empty or severely reduced result set after the filter step, leading to incomplete or inaccurate answers from the GPT‑4o model. Typical error messages observed in … Read more