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OpenAI workflow guides

Ten public guides from setup to troubleshooting, with examples and official sources. These editorial guides do not add approved records to the API catalog.

  1. Set up the OpenAI Python SDK

    Create an isolated Python environment before making your first API request.

  2. Authenticate OpenAI API requests securely

    Keep the API key on your server and send it as a bearer credential.

  3. Make your first OpenAI Responses API request

    Send a small text request and display the generated answer in Python.

  4. Read text from a Responses API result

    Use the SDK text helper and inspect output items when your application needs more than text.

  5. Stream OpenAI Responses API text in Python

    Display text deltas while tracking whether the response actually completes.

  6. Continue a conversation with previous_response_id

    Connect a follow-up request to an earlier response without rebuilding the entire conversation yourself.

  7. Parse structured OpenAI output with Pydantic

    Define an output shape for application data instead of extracting fields from prose.

  8. Return a function result to the Responses API

    Complete the tool-call loop with a local demonstration function.

  9. Fix OpenAI API 401 authentication errors

    Check credentials and project access before retrying a rejected request.

  10. Diagnose OpenAI 429 rate limits and exhausted credits

    Use the error body to distinguish a pacing problem from a billing or spending limit.