LiteLLM / LiteLLM

LiteLLM proxy team-scoped model fallback fails with public-to-internal name mismatch

Fix LiteLLM proxy fallback not triggering for team-scoped BYOK models due to public vs internal model name mismatch in Router.async_function_with_fallbacks Includes evidence for LiteLLM troubleshooting demand.

Category
LiteLLM
Error signature
No fallback model group found for original model_group=primary. Available Model Group Fallbacks=None
Quick fix
Compare the failing environment with a known working setup, then change one configuration value at a time.
Updated

What this error means

No fallback model group found for original model_group=primary. Available Model Group Fallbacks=None is a LiteLLM failure pattern reported for developers trying to fix litellm proxy fallback not triggering for team-scoped byok models due to public vs internal model name mismatch in router.async_function_with_fallbacks. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

GitHub issue #28019 on BerriAI/litellm documents a routing bug: POST /fallback requires internal model names (model_name_team_uuid) but runtime requests use public names (e.g. gpt-4.1). The fallback lookup does direct string comparison before name resolution, so it never matches. Root cause identified in code (Router.async_function_with_fallbacks). Workaround available via model_aliases. Strong commercial value — directly impacts production proxy billing and failover reliability.

Common causes

Quick fixes

  1. Confirm the exact error signature matches No fallback model group found for original model_group=primary. Available Model Group Fallbacks=None.
  2. Check the LiteLLM 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

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

Sources checked

Evidence note: GitHub issue #28019 on BerriAI/litellm documents a routing bug: POST /fallback requires internal model names (model_name_team_uuid) but runtime requests use public names (e.g. gpt-4.1). The fallback lookup does direct string comparison before name resolution, so it never matches. Root cause identified in code (Router.async_function_with_fallbacks). Workaround available via model_aliases. Strong commercial value — directly impacts production proxy billing and failover reliability.

FAQ

What should I check first?

Start with the exact No fallback model group found for original model_group=primary. Available Model Group Fallbacks=None text and the smallest action that reproduces it.

Can I ignore this error?

No. Treat it as a failed LiteLLM 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 No fallback model group found for original model_group=primary. Available Model Group Fallbacks=None.