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

{
The Helm change requires careful conditional templating, hook lifecycle compatibility, and chart-installation validation; the UI theme work is broader in surface area but more conventional and lower deployment risk.
}
https://github.com/berriai/litellm/issues/20571 3:1 https://github.com/berriai/litellm/issues/10177

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

{
The right-hand issue is harder because it requires protocol-aware routing across aggregated MCP backends, preserving existing multi-server behavior and adding integration coverage. The left-hand issue is more localized to persistence-state reconciliation and background cost-processing logic.
}
https://github.com/berriai/litellm/issues/34906 4:3 https://github.com/berriai/litellm/issues/35131

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

{
The UI change has broader cross-component scope, requiring theme tokens, state handling, accessibility checks, and regression coverage; the provider fix is comparatively localized to request translation and targeted tests.
}
https://github.com/berriai/litellm/issues/10177 3:1 https://github.com/berriai/litellm/issues/34111

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

{
#34906 requires deeper proxy-side MCP protocol routing, URI ownership resolution, and multi-server regression testing; #30468 is a localized dashboard rendering and snippet-generation change.
}
https://github.com/berriai/litellm/issues/34906 4:1 https://github.com/berriai/litellm/issues/30468

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

{
29998 requires coordinated backend normalization, usage-model changes, and streaming aggregation compatibility across providers and tests; 30468 is comparatively localized dashboard rendering and snippet-generation work.
}
https://github.com/berriai/litellm/issues/29998 4:1 https://github.com/berriai/litellm/issues/30468

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

{
The left issue requires tracing and correcting cross-layer state synchronization, initialization ordering, persistence behavior, and regression coverage. The right issue is comparatively contained UI theming work with limited backend risk.
}
https://github.com/berriai/litellm/issues/32799 5:2 https://github.com/berriai/litellm/issues/10177

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

{
Issue #35131 is harder because it spans asynchronous response lifecycle handling, provider-specific completion behavior, background polling, persistence state transitions, cost calculation, retry/cleanup logic, and regression testing. Issue #30825 is comparatively localized to callback-specific metadata isolation and its surrounding tests.
}
https://github.com/berriai/litellm/issues/35131 3:1 https://github.com/berriai/litellm/issues/30825

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

{
The Prisma-client failure spans dependency packaging, generation/build workflows, and multiple installation paths, with greater compatibility and deployment risk. The UI redirect issue is comparatively localized to preserving and applying a return path through authentication.
}
https://github.com/berriai/litellm/issues/30425 4:1 https://github.com/berriai/litellm/issues/31953

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

{
The left issue is harder because it requires resilient per-item error handling across the batch reconciliation workflow, correct failure-state persistence, continued polling, and regression coverage for interaction with existing batch states. The right issue is comparatively localized to provider-specific request transformation and validation.
}
https://github.com/berriai/litellm/issues/35357 4:1 https://github.com/berriai/litellm/issues/34111

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

{
The right issue is harder because it spans startup configuration loading, database-backed state synchronization, lifecycle ordering, and regression coverage across persistence modes, while the left issue is comparatively localized to response-field propagation and serialization.
}
https://github.com/berriai/litellm/issues/32799 4:1 https://github.com/berriai/litellm/issues/33967