Sorting LiteLLM GitHub issues by difficulty to implement. Higher = harder.

{
The right issue is substantially harder because it spans new proxy routing behavior, prompt-template derivation, persistent training-data workflows, asynchronous trainer coordination, dynamic model updates, fallback semantics, and dashboard operations. The left issue is a comparatively focused SDK/provider integration bug requiring localized diagnosis and compatibility fixes.
}
https://github.com/berriai/litellm/issues/31595 10:1 https://github.com/berriai/litellm/issues/26897