What this error means
Proxy silently drops all models after extended runtime (config-only, no DB) — all LLM API calls start returning Not Fund Error despite valid configuration is a LiteLLM failure pattern reported for developers trying to fix litellm proxy memory leak / state corruption bug where configured models disappear from routing pool after prolonged operation without database backend. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
GitHub issue BerriAI/litellm #25350 shows active production bug affecting multi-provider proxy setups. Combined with #25469 PR and general proxy routing timeout/rate-limit issues found via search. Affects production systems using LiteLLM as centralized LLM gateway — high commercial value as organizations depend on reliable model routing. No existing dev-error-db coverage for this proxy-specific stability issue.
Common causes
- GitHub issue BerriAI/litellm #25350 shows active production bug affecting multi-provider proxy setups. Combined with #25469 PR and general proxy routing timeout/rate-limit issues found via search. Affects production systems using LiteLLM as centralized LLM gateway — high commercial value as organizations depend on reliable model routing. No existing dev-error-db coverage for this proxy-specific stability issue.
Quick fixes
- Confirm the exact error signature matches
Proxy silently drops all models after extended runtime (config-only, no DB) — all LLM API calls start returning Not Fund Error despite valid configuration. - 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.