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

{
The left requires coordinated changes across multiple provider-specific request paths, shared configuration behavior, and broad compatibility testing. The right is more likely a localized proxy persistence or serialization fix.
}
https://github.com/berriai/litellm/issues/31744 3:1 https://github.com/berriai/litellm/issues/23345

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

{
The right-hand issue requires tracing and modifying a cross-provider request translation path, preserving compatibility across payload variants, and adding focused regression coverage. The left-hand issue is a localized configuration and template change across Helm chart files with comparatively low integration risk.
}
https://github.com/berriai/litellm/issues/25456 5:1 https://github.com/berriai/litellm/issues/31336

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

{
29491 requires tracing streaming event translation across provider and downstream compatibility boundaries, with timing, chunking, and tool-payload regression risks; 27946 is a localized response-field mapping change with a comparatively narrow test surface.
}
https://github.com/berriai/litellm/issues/29491 4:1 https://github.com/berriai/litellm/issues/27946

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

{
Issue 21023 requires tracing multiple pricing, token accounting, logging, and budget-enforcement paths to identify intermittent behavior and safely fix regressions. Issue 25487 appears localized to a naming mismatch with limited propagation and test updates.
}
https://github.com/berriai/litellm/issues/21023 5:1 https://github.com/berriai/litellm/issues/25487

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

{
Native NeMo Guardrails support spans multiple public interfaces, configuration and dependency management, request/response interception, and compatibility with existing proxy guardrail flows. The Redis issue is high-risk but more narrowly scoped to diagnosing request isolation, cache keying, and distributed concurrency behavior.
}
https://github.com/berriai/litellm/issues/25255 8:3 https://github.com/berriai/litellm/issues/25447

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

{
The right issue is harder because it spans a new CLI workflow, multiple external agent integrations, remote discovery, authentication, configuration generation, and cross-platform testing, while the left issue is comparatively localized routing and regression-test work.
}
https://github.com/berriai/litellm/issues/30421 5:1 https://github.com/berriai/litellm/issues/29764

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

{
Issue 32245 is harder because it likely spans budget ownership, team/key association semantics, persistence, and scheduled reset logic, with greater risk of affecting accounting and existing authorization flows. Issue 25128 is comparatively localized to protocol-state handling in the outbound MCP client and can be addressed through request-session propagation and focused integration tests.
}
https://github.com/berriai/litellm/issues/32245 3:2 https://github.com/berriai/litellm/issues/25128

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

{
The left issue is harder because it requires integrating entity-level authorization into proxy model discovery, reconciling multiple configuration sources, and preserving correct visibility semantics across existing access-control paths. The right issue is comparatively localized to provider-specific identifier normalization and multi-turn mapping, with narrower compatibility risk.
}
https://github.com/berriai/litellm/issues/31966 5:3 https://github.com/berriai/litellm/issues/34239

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

{
Budget enforcement spans proxy request routing, model-group alias resolution, cost/pricing classification, and quota state, creating broader regression risk and requiring matrixed tests. The vector-store failure appears more localized to parameter propagation in two endpoints.
}
https://github.com/berriai/litellm/issues/35369 3:1 https://github.com/berriai/litellm/issues/28242

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

{
The token-counting issue is harder because it crosses multimodal content normalization and tokenizer behavior, requiring careful handling of media payloads across models and regression coverage. The dashboard issue is narrower, likely involving stale relationship state and refresh/invalidation logic in one UI workflow.
}
https://github.com/berriai/litellm/issues/28071 3:1 https://github.com/berriai/litellm/issues/26785