A focused hub for debugging OpenAI API request bodies, JSON payloads, model-parameter mismatches and AI coding agent prompts.
Practical checklist
- Validate JSON before debugging SDK behavior.
- Compare the selected model family with token, reasoning and response_format fields.
- Keep one minimal cURL request as a reproducible baseline.
Tools
Statically inspect an OpenAI API request body for common JSON and parameter mistakes before sending it to the API.
Open tool JSON JSON Validator and FormatterValidate JSON, format it for reading, or minify it for compact API payloads without sending data to an external API.
Open tool cURL cURL Command BuilderBuild readable cURL commands for API requests with method, headers, JSON body and safe auth placeholders.
Open tool Prompt AI Prompt DebuggerAnalyze coding-agent prompts for missing context, vague goals, unsafe instructions, unclear outputs and weak verification steps.
Open tool HTTP HTTP Status Code ExplainerExplain common HTTP status codes with likely causes, API debugging notes and practical verification commands.
Open toolError fixes
This error usually appears when a request body mixes parameters from different OpenAI model families. Validate JSON first, then align token fields with the target model.
Open fix OpenAI OpenAI invalid_request_error Fixinvalid_request_error means the API understood the request but rejected its shape or parameters. Reduce to a minimal valid request first.
Open fix OpenAI OpenAI Context Length Exceeded FixContext length errors happen when the request input, instructions, tools and expected output exceed the model context window.
Open fix OpenAI OpenAI response_format JSON Schema Fixresponse_format errors usually mean the request JSON parses, but the structured-output schema does not match the API shape.
Open fix OpenAI OpenAI 429 Rate Limit Fix429 means requests are being limited by quota, rate, concurrency or burst behavior. Treat it as a control-flow problem, not a JSON problem.
Open fix JSON JSON Unexpected Token Error FixUnexpected token errors mean the parser found a character that is not valid at that position. Often the input is not JSON at all.
Open fixExamples
A compact request-body example for debugging OpenAI API calls. Use it as a starting point, then validate parameters against the target model family.
Open example cURL cURL POST JSON ExampleUse this example to separate API behavior from frontend, SDK or framework code.
Open example JSON JSON API Payload ExampleA small JSON payload example that works with strict parsers. Useful for testing API clients and cURL commands.
Open exampleGuides
Most API request bugs are easier to fix before the request is sent. Start with valid JSON, then check model-family parameters and only then debug application code.
Read guide cURL cURL API Debugging Workflow for DeveloperscURL is the simplest way to separate API behavior from SDK, framework or frontend code. Build a minimal request first, then compare it with the failing implementation.
Read guide HTTP Debug HTTP 429 Rate Limit ErrorsA 429 response means the request was understood but rate limited. The fastest fix is to inspect headers, reduce concurrency and prove the behavior with a minimal request.
Read guide