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

{
29190 requires validating an uncertain interaction, changing authentication precedence safely, and adding regression coverage across proxy and provider flows; 27458 is comparatively localized input validation and error-handling work.
}
https://github.com/berriai/litellm/issues/29190 3:1 https://github.com/berriai/litellm/issues/27458

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

{
#33321 is harder because it spans several proxy authorization paths, requires consistent boundary semantics across scopes, and needs broad regression coverage; #30099 is comparatively localized to provider-response usage translation with a narrower compatibility fix.
}
https://github.com/berriai/litellm/issues/33321 3:1 https://github.com/berriai/litellm/issues/30099

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

{
29588 requires careful protocol-aware error translation, preservation of OAuth semantics, and coverage across upstream failure paths and client compatibility. 35361 is comparatively localized defensive handling with focused regression tests.
}
https://github.com/berriai/litellm/issues/29588 3:1 https://github.com/berriai/litellm/issues/35361

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

{
The left task requires coordinating authentication state, redirect handling, protocol semantics, and compatibility across multiple clients and upstream providers, creating substantially higher regression and security risk. The right task is comparatively localized to frontend build and route-generation configuration.
}
https://github.com/berriai/litellm/issues/34771 5:1 https://github.com/berriai/litellm/issues/27048

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

{
Model omitted braces; inferred difficulty from issue scope and surface area.
}
https://github.com/berriai/litellm/issues/29261 4:1 https://github.com/berriai/litellm/issues/28782

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

{
32484 likely requires tracing a version regression across model registration, cost resolution, and environment-specific routing while preserving backward compatibility. 35346 appears comparatively localized to updating brittle external-contract tests and validating CI behavior.
}
https://github.com/berriai/litellm/issues/32484 3:1 https://github.com/berriai/litellm/issues/35346

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

{
The right issue is harder because it requires consistent credential propagation across multiple MCP/OpenAPI code paths, careful security handling, and regression tests; the left issue has insufficient detail but appears narrower in scope.
}
https://github.com/berriai/litellm/issues/30560 4:1 https://github.com/berriai/litellm/issues/33927

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

{
Issue 31447 is harder because it spans persistence semantics, partial-update behavior, merge rules, and preserving coupled relational state across multiple API paths, requiring broader regression coverage. Issue 29168 is more narrowly contained to provider-specific schema translation and compatibility tests.
}
https://github.com/berriai/litellm/issues/31447 3:2 https://github.com/berriai/litellm/issues/29168

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

{
The right issue involves diagnosing and correcting a framework build/export and deployed-route integration, with broader configuration and validation risk; the left is a localized UI styling/data-mapping change.
}
https://github.com/berriai/litellm/issues/27048 4:1 https://github.com/berriai/litellm/issues/34231

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

{
The right issue is harder because it likely requires coordinated changes across MCP client pagination, cursor propagation, request-parameter handling, endpoint behavior, and integration tests. The left issue is comparatively localized to response normalization with focused regression coverage.
}
https://github.com/berriai/litellm/issues/32229 4:1 https://github.com/berriai/litellm/issues/31696