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

{
Recurring availability schedules require new configuration schemas, timezone-aware window evaluation, overnight and boundary handling, credential inheritance across deployments, routing integration, backward compatibility, and broad testing. The logging issue is comparatively localized to sanitizing and validating a metadata field in two builders, with focused regression and security tests.
}
https://github.com/berriai/litellm/issues/34662 5:1 https://github.com/berriai/litellm/issues/34710

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

{
Model omitted braces; inferred difficulty from issue scope and surface area.
}
https://github.com/berriai/litellm/issues/33671 3:1 https://github.com/berriai/litellm/issues/28880

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

{
The left issue is harder because it likely requires cross-layer investigation of long-running request lifecycles, transport timeouts, cancellation, and streaming behavior, with difficult reproduction and broader regression testing. The right issue appears localized to defensive resource-cleanup handling with a straightforward targeted test.
}
https://github.com/berriai/litellm/issues/28474 5:1 https://github.com/berriai/litellm/issues/31206

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

{
Issue 34692 is harder because it requires correcting stateful streaming translation semantics, event ordering, and protocol-compliant tool-call termination while preserving compatibility across clients and non-streaming behavior. Issue 29079 is narrower, primarily involving metadata propagation through the Vertex pass-through logging path and targeted coverage.
}
https://github.com/berriai/litellm/issues/34692 3:2 https://github.com/berriai/litellm/issues/29079

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

{
The right issue is harder because it requires correcting span lifecycle semantics while preserving parentage, processor behavior, and compatibility across telemetry integrations, with subtle regression risk. The left issue is comparatively contained to aligning an existing UI endpoint with the shared health-status data source.
}
https://github.com/berriai/litellm/issues/33511 3:2 https://github.com/berriai/litellm/issues/31851

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

{
The right issue is harder because it involves diagnosing and correcting cross-layer configuration, initialization, persistence, and overwrite behavior, with broader regression-testing risk. The left is primarily a dependency and compatibility update with comparatively localized validation.
}
https://github.com/berriai/litellm/issues/29416 4:1 https://github.com/berriai/litellm/issues/29407

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

{
The left issue requires coordinated changes in proxy streaming control flow, timing, configuration propagation, and compatibility testing across deployment types. The right issue is narrower UI/session-state debugging with a smaller likely change surface.
}
https://github.com/berriai/litellm/issues/31877 3:1 https://github.com/berriai/litellm/issues/28165

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

{
The security work carries substantially greater scope and risk: it requires vulnerability triage, threat modeling, coordinated remediation, and careful regression validation across exposed proxy surfaces. The other issue is comparatively localized to provider routing and endpoint-selection behavior.
}
https://github.com/berriai/litellm/issues/34451 5:2 https://github.com/berriai/litellm/issues/32489

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

{
The right issue is harder because it spans dashboard form state, request construction, and backend persistence semantics, with security-sensitive masking and backward-compatibility cases requiring coordinated changes and broader tests. The left issue is comparatively localized to streaming error classification and fallback behavior, mainly requiring a focused code change plus regression coverage.
}
https://github.com/berriai/litellm/issues/28902 3:1 https://github.com/berriai/litellm/issues/28599

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

{
The left issue is harder because it requires coordinating several persistence and lifecycle paths, preserving budget semantics across existing and newly created records, and adding regression coverage around background processing. The right issue appears narrower, centered on request routing or UI asset serving with a more localized fix.
}
https://github.com/berriai/litellm/issues/25386 4:1 https://github.com/berriai/litellm/issues/29340