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

{
The right issue is harder because it requires tracing shared sync and async request flows across multiple provider adapters, preserving timeout propagation through transformation layers, and adding regression coverage without disrupting native API paths. The left issue is comparatively localized model registration and compatibility testing.
}
https://github.com/berriai/litellm/issues/28132 4:1 https://github.com/berriai/litellm/issues/30754

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

{
The pricing-metadata feature has broader scope: it requires consistent cost resolution across model sources, deployment overrides, access-control filtering, opt-in response compatibility, and substantial endpoint/testing coverage. The regression is difficult to diagnose but is more narrowly contained to fallback and provider pass-through routing behavior.
}
https://github.com/berriai/litellm/issues/35312 3:2 https://github.com/berriai/litellm/issues/20727

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

{
The left issue is harder because it requires coordinating authentication and guardrail execution across multiple MCP operation paths, preserving existing behavior, and adding comprehensive security-focused regression coverage. The right issue is broader in UI surface area but follows a more conventional frontend localization implementation.
}
https://github.com/berriai/litellm/issues/32329 5:3 https://github.com/berriai/litellm/issues/28526

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

{
The left requires coordinated changes across asynchronous control flow, failure propagation, protocol-compliant terminal events, and regression coverage. The right is broad but primarily calls for profiling and targeted performance remediation, with less clearly defined implementation scope.
}
https://github.com/berriai/litellm/issues/32562 3:1 https://github.com/berriai/litellm/issues/23005

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

{
31004 requires coordinating failure-path control flow across proxy, streaming, and guardrail integrations, with higher regression and observability risk; 30778 is comparatively localized parameter propagation through HTTP client construction and retries.
}
https://github.com/berriai/litellm/issues/31004 3:1 https://github.com/berriai/litellm/issues/30778

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

{
The right issue has broader cross-layer scope, involving provider behavior, streaming adaptation, endpoint compatibility, documentation, and integration coverage. The left is a comparatively contained metadata fallback and presentation fix.
}
https://github.com/berriai/litellm/issues/30762 5:1 https://github.com/berriai/litellm/issues/29291

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

{
Issue #30460 is harder because it involves distributed Redis state, timeout and retry behavior, cross-pod consistency, reconciliation, and budget-enforcement correctness. Issue #25628 is comparatively localized to preserving model-alias metadata through the streaming callback path.
}
https://github.com/berriai/litellm/issues/30460 5:1 https://github.com/berriai/litellm/issues/25628

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

{
The right issue is harder because it affects cross-cutting async control flow, exception propagation, fallback orchestration, and regression coverage. The left issue is comparatively localized to request-signing/header handling with a narrower validation surface.
}
https://github.com/berriai/litellm/issues/35329 3:1 https://github.com/berriai/litellm/issues/27513

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

{
The left issue spans asynchronous batch lifecycle handling, managed-resource persistence, credential propagation, and authorization boundaries, requiring coordinated changes and broader regression coverage. The right issue is comparatively localized to provider request transformation and validation.
}
https://github.com/berriai/litellm/issues/33989 5:1 https://github.com/berriai/litellm/issues/27490

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

{
The left issue requires a broader provider integration with new request semantics, authentication/configuration handling, response translation, streaming behavior, and end-to-end coverage. The right issue is primarily a focused Router fallback enhancement involving context estimation and retry-path handling, with comparatively lower architectural risk.
}
https://github.com/berriai/litellm/issues/25372 3:1 https://github.com/berriai/litellm/issues/31557