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
- 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.
Quick fixes
- Confirm the exact error signature matches
No fallback model group found for original model_group=primary. Available Model Group Fallbacks=None. - Check the LiteLLM account, local tool state, and provider configuration involved in the failing workflow.
- 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
- 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.