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

{
The left issue is harder because it crosses asynchronous streaming control flow, response-type handling, tool emulation, provider translation, and end-to-end regression testing. The right issue is more localized to persistence-model serialization and endpoint response mapping.
}
https://github.com/berriai/litellm/issues/34767 3:1 https://github.com/berriai/litellm/issues/28187

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

{
Data-loss prevention requires coordinated queue ownership, transactional failure recovery, concurrency-safe retry semantics, and regression testing across background workers; the other issue is primarily bounded request handling and fallback behavior.
}
https://github.com/berriai/litellm/issues/33873 3:1 https://github.com/berriai/litellm/issues/30365

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

{
29818 requires cross-layer protocol compatibility work, including proxy routing, request/response translation, and streaming behavior for a client-specific API path. 23005 is a broader but more localized performance regression investigation, likely addressed through profiling and UI/backend optimization.
}
https://github.com/berriai/litellm/issues/29818 3:2 https://github.com/berriai/litellm/issues/23005

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

{
The right issue is harder because it requires coordinated frontend and backend changes around secret-preserving update semantics, masking behavior, validation, and regression coverage. The left issue is comparatively localized to correcting parameter propagation through an existing provider token-counting path with focused tests.
}
https://github.com/berriai/litellm/issues/28902 3:2 https://github.com/berriai/litellm/issues/27113

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

{
34555 requires code-path investigation, URL/token flow validation, backward-compatibility consideration, and regression tests; 26235 is a narrowly scoped documentation correction.
}
https://github.com/berriai/litellm/issues/34555 5:1 https://github.com/berriai/litellm/issues/26235

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

{
The launch-agent feature is substantially harder: it requires a new CLI workflow, remote authentication and model discovery, subprocess/environment integration, and compatibility across multiple external agent tools and platforms. The cancellation bug is narrower, though it still needs careful async exception, fallback, cooldown, and regression-test handling.
}
https://github.com/berriai/litellm/issues/30421 5:1 https://github.com/berriai/litellm/issues/35329

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

{
The right issue is harder because it crosses shared token-counting interfaces, provider-specific plumbing, request-shape compatibility, and regression testing across integrations. The left is comparatively localized to one streaming translation path with focused field mapping and event-level tests.
}
https://github.com/berriai/litellm/issues/27113 3:1 https://github.com/berriai/litellm/issues/28354

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

{
Supporting a new provider-hosted model path requires broader integration work across routing, authentication/base-URL handling, translation, and regression coverage, with higher compatibility risk. The other issue is a localized type-handling and logging fix with limited behavioral scope.
}
https://github.com/berriai/litellm/issues/30657 5:1 https://github.com/berriai/litellm/issues/30976

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

{
Issue #28021 is harder because it spans UI behavior, API validation, update semantics, and persistence compatibility, while #31838 is a more localized cache-invalidation change across known mutation paths.
}
https://github.com/berriai/litellm/issues/28021 3:2 https://github.com/berriai/litellm/issues/31838

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

{
The right issue is harder because it likely requires tracing packaging, dependency inclusion, Prisma generation, and multiple installation/runtime paths, with broader compatibility and release risks. The left issue is comparatively localized to Helm image-tag defaults and chart validation.
}
https://github.com/berriai/litellm/issues/30425 3:1 https://github.com/berriai/litellm/issues/29348