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

{
The right issue spans a new Kubernetes-facing product surface, CRD design, reconciliation, lifecycle management, multi-tenancy, GitOps workflows, security, packaging, and operational testing. The left issue is comparatively contained within pricing and token-cost calculation logic, though it still requires careful tier and regression testing.
}
https://github.com/berriai/litellm/issues/18428 5:1 https://github.com/berriai/litellm/issues/30135

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

{
The right issue is harder because it requires coordinated changes across virtual-key configuration, request validation, tag precedence, routing behavior, authentication responses, and compatibility tests. The left issue is serious but comparatively localized to metadata copying/serialization and spend-queue failure handling.
}
https://github.com/berriai/litellm/issues/22966 4:1 https://github.com/berriai/litellm/issues/32250

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

{
#29614 is harder because it involves proxy startup, Prisma CLI/engine compatibility, container distribution behavior, and deployment configuration, with potentially external dependency constraints. #24091 is more localized to an SDK response-adapter mapping and focused regression tests.
}
https://github.com/berriai/litellm/issues/29614 5:3 https://github.com/berriai/litellm/issues/24091

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

{
Adding a new audio provider spans provider architecture, request translation, configuration, dependency/runtime compatibility, tests, and documentation. The fallback defect is narrower, mainly involving conditional request construction and regression coverage, though it carries subtle cross-provider behavior risk.
}
https://github.com/berriai/litellm/issues/29367 4:1 https://github.com/berriai/litellm/issues/27967

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

{
29966 requires coordinating Helm configuration, container publishing, release automation, multi-architecture manifests, and version compatibility across several components, creating substantially broader integration and deployment risk. 28747 is primarily a localized routing/region-detection fix with focused tests.
}
https://github.com/berriai/litellm/issues/29966 4:1 https://github.com/berriai/litellm/issues/28747

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

{
#32614 is harder because it involves subtle asynchronous consistency guarantees across shared cache, Redis synchronization, inherited call paths, and race-focused regression testing. #33374 is narrower endpoint-level latency work, mainly involving request planning and cancellation behavior.
}
https://github.com/berriai/litellm/issues/32614 5:4 https://github.com/berriai/litellm/issues/33374

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

{
The right issue is harder because it spans cross-provider protocol translation, structured payload normalization, backward compatibility, and extensive regression testing, while the left issue is comparatively localized to UI/API data alignment and permission-display logic.
}
https://github.com/berriai/litellm/issues/22997 4:1 https://github.com/berriai/litellm/issues/32186

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

{
The left issue is harder because it likely requires coordinated authorization, API, UI, and regression-test changes with security implications. The right issue is comparatively localized to Helm image-selection logic and release validation.
}
https://github.com/berriai/litellm/issues/28859 4:1 https://github.com/berriai/litellm/issues/29348

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

{
The left issue requires coordinating MCP lifecycle instrumentation, synthetic request metadata, alert bookkeeping, and regression coverage across multiple subsystems. The right issue is comparatively localized to provider propagation during vector-store embedding model resolution.
}
https://github.com/berriai/litellm/issues/32774 4:1 https://github.com/berriai/litellm/issues/23980

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

{
The left issue requires tracing and correcting shared streaming serialization across provider-specific response schemas, with compatibility and regression testing for multiple model modes. The right issue is a localized defensive handling and error-mapping change in one provider's streaming transformer.
}
https://github.com/berriai/litellm/issues/18801 4:1 https://github.com/berriai/litellm/issues/33622