TackleKey
model_not_found debugging

Debug model_not_found before rewriting your SDK integration

The error often looks like a provider outage, but it is usually a mismatch between the base URL, API key, model ID, account permissions, or fallback route.

Common causes

Base URL mismatch

The request may be sent to a direct provider endpoint, local proxy, staging gateway, or another OpenAI-compatible workspace.

Wrong account context

The API key may be valid but belong to a workspace that cannot access the model you copied.

Display name vs model ID

A UI label such as GPT mini or Claude Haiku may not be the copy-ready API model ID.

Fallback hides failure

A fallback route can make the visible error less useful unless logs show the exact model and route attempt.

Debugging order

StepWhat to checkEntry
1. Pair endpoint and keyConfirm the base URL and API key come from the same gateway or account context.Open
2. Copy the exact model IDUse the current model directory rather than a display name or old docs snippet.Open
3. Send one tiny requestUse cURL before debugging SDK wrappers, streaming, tools, agents, or RAG code.Open
4. Check request logsVerify which model ID was received, whether the account had access, and which status was returned.Open
The fastest test is not changing providers. Prove one minimal request with the exact base URL, API key, and model ID that production will use.

FAQ

Is model_not_found always a model outage?

No. It is often a configuration mismatch, stale alias, missing account permission, or request sent to the wrong endpoint.

Should I try another SDK first?

Usually no. First send one raw cURL request so SDK wrappers are not hiding the status code or request body.

Where should I copy the model name from?

Copy the exact API model ID from the same model directory or pricing page used by the gateway you are calling.

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.