Managed Agents API returns "model is not supported" 400 for all Claude models

What this error means

Error code: 400 - {"type": "invalid_request_error", "message": "model.id: model \"claude-sonnet-4-6\": model is not supported"} is a Anthropic API failure pattern reported for developers trying to fix 400 error when creating claude agent via managed agents beta api despite same api key working with messages api. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

GitHub issue anthropics/anthropic-sdk-python#1583 — all Claude models fail with ‘model is not supported’ on agents.create() / sessions.create() but work fine on Messages API with same key. Agent creation worked earlier the same day, suggesting a recent API change or outage. Strong commercial impact for paid users using Managed Agents beta.

Common causes

• GitHub issue anthropics/anthropic-sdk-python#1583 — all Claude models fail with ‘model is not supported’ on agents.create() / sessions.create() but work fine on Messages API with same key. Agent creation worked earlier the same day, suggesting a recent API change or outage. Strong commercial impact for paid users using Managed Agents beta.

Quick fixes

1. Confirm the exact error signature matches Error code: 400 - {"type": "invalid_request_error", "message": "model.id: model \"claude-sonnet-4-6\": model is not supported"}.
2. Check the Anthropic API account, local tool state, and provider configuration involved in the failing workflow.
3. Compare the failing environment with a known working setup, then change one configuration value at a time.

Platform/tool-specific checks

• Verify the command, editor, extension, or API client that produced the error.
• Compare local settings with CI, deployment, or editor-level settings when the error appears in only one environment.
• Avoid deleting credentials, local model data, or project settings until the failing scope is clear.

Step-by-step troubleshooting

1. Capture the exact error message and the command, editor action, or request that triggered it.
2. Check whether the failure is account/auth, quota/rate, model/provider, local runtime, or deployment configuration.
3. Review the source evidence below and compare it with your environment.
4. Apply one change at a time and rerun the smallest failing action.
5. Keep the working fix documented for the team or deployment environment.

How to prevent it

• Keep provider/tool configuration documented.
• Record non-secret diagnostics such as tool version, provider name, model name, and command path.
• Add a lightweight check before CI or production workflows depend on the tool.

Sources checked

• https://github.com/anthropics/anthropic-sdk-python/issues/1583

Evidence note: GitHub issue anthropics/anthropic-sdk-python#1583 — all Claude models fail with ‘model is not supported’ on agents.create() / sessions.create() but work fine on Messages API with same key. Agent creation worked earlier the same day, suggesting a recent API change or outage. Strong commercial impact for paid users using Managed Agents beta.

Related errors

• Anthropic API

FAQ

What should I check first?

Start with the exact Error code: 400 - {"type": "invalid_request_error", "message": "model.id: model \"claude-sonnet-4-6\": model is not supported"} text and the smallest action that reproduces it.

Can I ignore this error?

No. Treat it as a failed Anthropic API workflow until the root cause is understood.

Is this guaranteed to have one fix?

No. The imported evidence supports the troubleshooting path above, but tool behavior can vary by account, plan, version, provider, and local configuration.

How do I know the fix worked?

Rerun the same command, editor action, or request. The fix is working when that action completes without Error code: 400 - {"type": "invalid_request_error", "message": "model.id: model \"claude-sonnet-4-6\": model is not supported"}.