LiteLLM / LiteLLM

/v1/models wildcard discovery does not expand team BYOK routes using litellm_credential_name

Fix LiteLLM proxy /v1/models endpoint so wildcard team BYOK routes properly expand and discover models stored under litellm_credential_name Includes evidence for LiteLLM troubleshooting demand.

Source-backed Last updated May 24, 2026 1 source Needs local verification

Category: LiteLLM
Error signature: /v1/models wildcard expansion fails to find team-scoped wildcard deployment models; team.models = ['openai/*'] does not resolve correctly when check_provider_endpoint=true
Quick fix: Check the build output, project root, and deployment platform configuration before redeploying.
Updated: May 24, 2026
Verification status: Source-backed
Evidence: 1 public source URL

Before you change production

This page includes public source URLs in the imported troubleshooting record. Compare those references with your version and environment before applying changes.

Reproduce the smallest failing action and save non-secret logs before changing configuration.
Check versions for LiteLLM, related SDKs, package managers, CI runners, and hosting providers.
Change one setting or dependency at a time, then rerun the same failing command or request.
Avoid destructive commands, credential rotation, billing changes, or security relaxations without a rollback plan.

What this error means

/v1/models wildcard expansion fails to find team-scoped wildcard deployment models; team.models = ['openai/*'] does not resolve correctly when check_provider_endpoint=true is a LiteLLM failure pattern reported for developers trying to fix litellm proxy /v1/models endpoint so wildcard team byok routes properly expand and discover models stored under litellm_credential_name. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

GitHub issue #28264 on BerriAI/litellm describes a bug where /v1/models wildcard expansion does not correctly resolve team-scoped wildcard deployment configurations (team.models = ['openai/*']). This blocks developers managing multiple model providers through LiteLLM proxy. Category maps to LiteLLM as a core proxy routing error affecting paid enterprise deployments.

Common causes

GitHub issue #28264 on BerriAI/litellm describes a bug where /v1/models wildcard expansion does not correctly resolve team-scoped wildcard deployment configurations (team.models = ['openai/*']). This blocks developers managing multiple model providers through LiteLLM proxy. Category maps to LiteLLM as a core proxy routing error affecting paid enterprise deployments.

Quick fixes

Confirm the exact error signature matches /v1/models wildcard expansion fails to find team-scoped wildcard deployment models; team.models = ['openai/*'] does not resolve correctly when check_provider_endpoint=true.
Check the LiteLLM account, local tool state, and provider configuration involved in the failing workflow.
Check the build output, project root, and deployment platform configuration before redeploying.

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

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

Diagnostic flow for this page

Match /v1/models wildcard expansion fails to find team-scoped wildcard deployment models; team.models = ['openai/*'] does not resolve correctly when check_provider_endpoint=true exactly before applying the quick fix.
Compare the failing environment with LiteLLM versions, account scope, provider settings, and deployment context.
Check the listed common causes in order, starting with the cause that best matches your logs.
Use the evidence status below to decide whether to confirm against public sources or official documentation.
Apply one reversible change, rerun the smallest failing action, and keep rollback notes.

FAQ

What does /v1/models wildcard expansion fails to find team-scoped wildcard deployment models; team.models = ['openai/*'] does not resolve correctly when check_provider_endpoint=true mean in LiteLLM?

/v1/models wildcard expansion fails to find team-scoped wildcard deployment models; team.models = ['openai/*'] does not resolve correctly when check_provider_endpoint=true indicates the workflow described by "/v1/models wildcard discovery does not expand team BYOK routes using litellm_credential_name" failed in a LiteLLM context. Start by confirming the exact signature and the component that emitted it.

What should I check first for /v1/models wildcard expansion fails to find team-scoped wildcard deployment models; team.models = ['openai/*'] does not resolve correctly when check_provider_endpoint=true?

Check whether this cause matches your environment: GitHub issue #28264 on BerriAI/litellm describes a bug where /v1/models wildcard expansion does not correctly resolve team-scoped wildcard deployment configurations (team.models = ['openai/*']). This blocks developers managing multiple model providers through LiteLLM proxy. Category maps to LiteLLM as a core proxy routing error affecting paid enterprise deployments.

Is the /v1/models wildcard expansion fails to find team-scoped wildcard deployment models; team.models = ['openai/*'] does not resolve correctly when check_provider_endpoint=true guidance source-backed?

The "/v1/models wildcard discovery does not expand team BYOK routes using litellm_credential_name" page is labeled source-backed. It has 1 public source URL from github.com, so use that evidence status when deciding how much additional verification you need.

When should I avoid the quick fix for /v1/models wildcard expansion fails to find team-scoped wildcard deployment models; team.models = ['openai/*'] does not resolve correctly when check_provider_endpoint=true?

For "/v1/models wildcard discovery does not expand team BYOK routes using litellm_credential_name", avoid applying "Check the build output, project root, and deployment platform configuration before redeploying." when the error text differs, the affected version or provider is different, or the change would touch credentials, billing, DNS, production deploy settings, or irreversible data.

What should I collect before debugging /v1/models wildcard expansion fails to find team-scoped wildcard deployment models; team.models = ['openai/*'] does not resolve correctly when check_provider_endpoint=true?

For "/v1/models wildcard discovery does not expand team BYOK routes using litellm_credential_name", collect the failing LiteLLM command or request, non-secret configuration, versions, timestamps, request IDs when available, and the smallest reproduction that still triggers the signature.