Step 1
Confirm package support
After delivery, verify whether your package supports image generation via API and which request shape and output format should be used.
Use case
Test image generation through the API, not just a UI.
If your product mixes chat, agent actions, embeddings, and generated images, unlimitedcodex gives you an OpenAI-compatible package to validate endpoint behavior during a controlled sprint window.
- Image generation via API where supported
- Chat/completions and embeddings checks
- OpenAI-compatible key and base URL
- Unlimited token consumption with 4 concurrent connections
Setup steps
Step 2
Run a small image smoke test
Test image request shape, output handling, errors, and rate behavior before building a full product workflow.
Step 3
Combine text and image checks
If your app mixes chat plus images, test chat/completions, embeddings, image generation, and /models with the same delivered key and base URL.
Step 4
Plan around concurrency
Image workflows can be slower and heavier than text. Keep jobs within the 4 concurrent connection operating boundary.
FAQ
Does unlimitedcodex include image generation?
Mention image generation only where the delivered package supports it. Buyers should test image generation through API calls after setup delivery.
Why test the API instead of the UI?
A UI can generate images while the API may have a different request shape, output format, or rate behavior. Product builders need direct endpoint tests.
What is the best first image API test?
Start with one simple prompt, inspect the response shape and output format, then test error handling and retry behavior before batch generation.