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

{
#27954 requires broad diagnosis, profiling, lifecycle analysis, reproducible testing, and production-safe validation across proxy, caching, and Kubernetes behavior; #34799 is a localized data correction with straightforward regression coverage.
}
https://github.com/berriai/litellm/issues/27954 10:1 https://github.com/berriai/litellm/issues/34799

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

{
The right issue is harder because it involves tracing and correcting authorization across passthrough routing, preserving existing key/user policy semantics, covering alternate request paths, and adding security-focused regression tests. The left issue is a narrowly scoped configuration and cost-calculation update for a small set of model variants.
}
https://github.com/berriai/litellm/issues/26399 5:1 https://github.com/berriai/litellm/issues/23388

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

{
The left issue requires coordinated authorization semantics, persistence/editing behavior, regression coverage, and careful compatibility analysis; the right is a localized metadata/configuration change with limited implementation risk.
}
https://github.com/berriai/litellm/issues/33397 8:1 https://github.com/berriai/litellm/issues/33058

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

{
The provider work is broader and riskier: it requires new transport and authentication handling, translation across response and streaming formats, compatibility with shared routing behavior, and comprehensive integration tests. The callback change is comparatively localized, though its security-sensitive detection logic still needs careful validation.
}
https://github.com/berriai/litellm/issues/27582 3:1 https://github.com/berriai/litellm/issues/28478

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

{
#34910 has broader proxy behavior, authorization precedence, request parsing, and interaction risks across MCP session assembly; #32330 is comparatively localized to content normalization and serialization with focused regression tests.
}
https://github.com/berriai/litellm/issues/34910 3:1 https://github.com/berriai/litellm/issues/32330

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

{
The right is harder because it requires tracing authentication configuration across the container, backend, and dashboard, while safely handling a potentially security-sensitive login-bypass option. The left is a narrowly identified dependency-boundary and release-integration regression with an existing fix to validate and backport.
}
https://github.com/berriai/litellm/issues/23451 3:1 https://github.com/berriai/litellm/issues/32993

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

{
Nested access-group composition is harder because it requires changes across authorization semantics, persistence and synchronization behavior, recursive resolution, cycle handling, caching, and broad regression coverage. The other task is comparatively localized to initialization and configuration-loading paths, though deployment variants still add testing risk.
}
https://github.com/berriai/litellm/issues/28032 4:1 https://github.com/berriai/litellm/issues/35239

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

{
29435 is harder because it involves the proxy’s invitation, first-login, role propagation, and session lifecycle, with security-sensitive authorization behavior and broader regression-testing needs. 24483 is narrower provider-integration work focused on request authentication/header mapping and targeted compatibility testing.
}
https://github.com/berriai/litellm/issues/29435 3:1 https://github.com/berriai/litellm/issues/24483

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

{
The right-side issue is harder because it requires tracing and correcting a multi-stage backend integration involving request translation, vector-store execution, error propagation, and regression coverage. The left-side issue appears more localized to dashboard authorization and rendering behavior.
}
https://github.com/berriai/litellm/issues/34768 4:1 https://github.com/berriai/litellm/issues/28005

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

{
The proxy feature requires changes across request classification, rate-limit and concurrency enforcement, configuration semantics, and regression coverage, creating broader integration risk. The Azure issue is narrower: isolate parameter translation and conditionally omit the incompatible field, with focused provider tests.
}
https://github.com/berriai/litellm/issues/29921 3:1 https://github.com/berriai/litellm/issues/31614