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

{
The right issue is harder because it requires tracing and safely correcting an existing proxy interception flow, preserving tool-call semantics across provider translations, and adding regression coverage for multiple request paths. The left issue is comparatively bounded: an OpenAI-compatible provider mainly needs provider registration, configuration, model metadata, and integration tests.
}
https://github.com/berriai/litellm/issues/31902 5:3 https://github.com/berriai/litellm/issues/27860