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

{
The left requires coordinated provider integration, sync/async dispatch changes, lifecycle-state handling, and regression coverage. The right appears primarily diagnostic and may depend on external rate-limit behavior, with no comparable implementation scope.
}
https://github.com/berriai/litellm/issues/33986 5:1 https://github.com/berriai/litellm/issues/33046

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

{
28409 requires changes across shared message-processing and token-counting paths, with compatibility decisions and broader regression coverage; 30742 is a localized control-flow cleanup with minimal behavioral scope.
}
https://github.com/berriai/litellm/issues/28409 5:1 https://github.com/berriai/litellm/issues/30742

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

{
#29274 is harder because it likely requires tracing and reconciling model-catalog generation, provider mappings, initialization behavior, and SDK compatibility across many integrations. #35565 appears localized to ensuring an existing cache-refresh mechanism is invoked in two mutation paths, with focused regression tests.
}
https://github.com/berriai/litellm/issues/29274 3:1 https://github.com/berriai/litellm/issues/35565

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

{
The right issue is harder because it requires tracing database-client lifecycle across success and failure paths, preserving async behavior, and adding reliable regression coverage; the left is a localized provider branch using existing dependencies and caching.
}
https://github.com/berriai/litellm/issues/34269 3:1 https://github.com/berriai/litellm/issues/33220

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

{
29995 requires tracing provider-specific transport and model capability handling through streaming adapters, with compatibility and regression testing; 23990 is comparatively localized telemetry field mapping with focused tests.
}
https://github.com/berriai/litellm/issues/29995 3:1 https://github.com/berriai/litellm/issues/23990

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

{
The embedding dispatch fix spans provider-resolution paths and endpoint-specific regression testing, while the proxy authorization correction is a localized set-union semantics change with focused tests.
}
https://github.com/berriai/litellm/issues/34503 3:2 https://github.com/berriai/litellm/issues/28173

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

{
The harder item spans shared route classification, deployment-mode behavior, authorization gates, and multiple CRUD paths, requiring broader integration testing. The easier item is a localized budget-hook correction with focused regression coverage.
}
https://github.com/berriai/litellm/issues/27461 4:1 https://github.com/berriai/litellm/issues/29912

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

{
#25260 requires cross-platform diagnosis across Prisma, Node, Python packaging, Windows process behavior, and database integration, with substantial regression risk; #27950 is a localized request-transformation mapping fix with focused tests
}
https://github.com/berriai/litellm/issues/25260 5:1 https://github.com/berriai/litellm/issues/27950

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

{
#31606 requires cross-cutting pricing-model, scheduling, configuration, and accounting changes with substantial compatibility and testing risk; #34763 is a localized dashboard form update leveraging existing backend behavior
}
https://github.com/berriai/litellm/issues/31606 10:1 https://github.com/berriai/litellm/issues/34763

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

{
The left task requires tracing shared logging behavior across cache execution paths, validating interactions between environment and configuration flags, and adding regression coverage without exposing sensitive data. The right task is primarily documentation or cookbook integration with limited changes to core code and lower operational risk.
}
https://github.com/berriai/litellm/issues/32318 3:1 https://github.com/berriai/litellm/issues/26494