Check request logs
Confirm the request appears under your project key and that errors are understandable.
TackleKey
OpenAI-compatible setup
Configure an OpenAI-compatible client for TackleKey
Use this when a client or developer tool lets you set a custom provider, base URL, API key, and model name.
Example
Provider type: OpenAI-compatible
Base URL: https://api.tacklekey.com/v1
API key: your TackleKey project key
Model: openai/gpt-4o-mini or another model from the live pricing page
After it works
Check balance records
Make sure usage is visible before sending larger batches or customer traffic.
Confirm model pricing
Open live pricing and verify the model before scaling.
Keep API keys server-side. Do not publish keys in frontend bundles, GitHub repositories, screenshots, logs, or issue comments.
FAQ
Which base URL should I use?
Use https://api.tacklekey.com/v1 for OpenAI-compatible chat completion requests unless your console or docs show a different project-specific endpoint.
Which model should I test first?
Start with a model visible on the live pricing page, such as the example model shown here, then switch to the model your application actually needs.
What should I check after the first response?
Check request logs, balance records, model pricing, and any errors before increasing traffic.
Try TackleKey with one OpenAI-compatible change
Create an account, generate a project API key, then replace your client base URL with the TackleKey endpoint. Keep keys server-side and verify live pricing before scaling traffic.