- Start with the protocol boundary, not a marketing promise.
- If native Claude Code support is uncertain for the target OpenAI-compatible path, say so directly.
- When the user only wants Claude models for coding, recommend a client that already matches the OpenAI-compatible workflow better.
- Use direct API testing to keep the conversation grounded.
What to verify
Whether the target path really matches Claude Code protocol expectations.
Safe recommendation
If the user mainly wants Claude models for coding, recommend the client that is easier to verify and support.
Ground truth
Use direct API testing and one real workflow instead of debating in the abstract.
Fallback path
Cline or Roo Code is often the cleaner OpenAI-compatible path for Claude models.
- Marketing Claude Code as universally OpenAI-compatible without proving the boundary.
- Forcing users into a harder path when they only care about Claude models.
- Debating compatibility in the abstract instead of testing one direct request and one real workflow.
- Hiding uncertainty instead of telling the user where the boundary is.
Can Claude Code always be treated like an OpenAI-compatible client?
No. Verify the protocol expectations first instead of assuming that changing the Base URL is enough.
What should I recommend if the user mainly wants Claude models for coding?
Recommend the path that is easier to verify and support, which is often Cline or Roo Code.
What is the honest troubleshooting order?
Explain the boundary, test the API directly, then choose the client path that matches what the user actually needs.