top=oldest · bottom=newest
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/33021 4:1 https://github.com/berriai/litellm/issues/24709
Sorting LiteLLM GitHub issues by difficulty to implement. Higher = harder.
{
26918 requires coordinated changes across container packaging, runtime filesystem constraints, migration tooling, and deployment configuration, with broader compatibility and security risks. 34096 is more localized to dashboard data fetching and authorization/filtering behavior.
}
https://github.com/berriai/litellm/issues/26918 4:1 https://github.com/berriai/litellm/issues/34096
Sorting LiteLLM GitHub issues by difficulty to implement. Higher = harder.
{
The right issue is harder because it requires concurrency-safe distributed state updates, admission-control semantics, backend compatibility, and race-focused testing. The left issue is narrower: correcting asynchronous stream error classification and ensuring the appropriate logging and metrics callbacks execute.
}
https://github.com/berriai/litellm/issues/35567 3:2 https://github.com/berriai/litellm/issues/29602
Sorting LiteLLM GitHub issues by difficulty to implement. Higher = harder.
{
Issue 31881 is harder because it spans guardrail lifecycle hooks, streaming state/buffering, end-of-stream behavior, model-group configuration, and compatibility across request modes. Issue 34296 is primarily concentrated in authorization decision logic with targeted regression tests and edge-case handling.
}
https://github.com/berriai/litellm/issues/31881 3:1 https://github.com/berriai/litellm/issues/34296
Sorting LiteLLM GitHub issues by difficulty to implement. Higher = harder.
{
The right issue is harder because it requires provider-specific API compatibility work across translation paths and model variants, while the left is a localized type-normalization fix with a smaller regression surface.
}
https://github.com/berriai/litellm/issues/27846 5:1 https://github.com/berriai/litellm/issues/29484
Sorting LiteLLM GitHub issues by difficulty to implement. Higher = harder.
{
The right issue is harder because it spans a nonstandard proxy route, request lifecycle, provider usage accounting, logging persistence, and regression coverage, whereas the left issue appears localized to model-list response metadata and formatting. The broader cross-cutting behavior and risk of affecting billing and observability justify a 3:1 effort ratio.
}
https://github.com/berriai/litellm/issues/30126 3:1 https://github.com/berriai/litellm/issues/21371
Sorting LiteLLM GitHub issues by difficulty to implement. Higher = harder.
{
The left item requires designing and integrating a new optimization subsystem across the SDK and proxy, including search orchestration, evaluation hooks, persistence, configuration, and operational safeguards. The right item is comparatively localized to provider-specific message translation and regression coverage.
}
https://github.com/berriai/litellm/issues/30432 5:1 https://github.com/berriai/litellm/issues/28530
Sorting LiteLLM GitHub issues by difficulty to implement. Higher = harder.
{
30532 is harder because it requires cross-cutting proxy configuration, metric discovery, label filtering, validation, and backward-compatible behavior across instrumentation paths. 27429 is comparatively localized to provider-specific request translation with targeted regression coverage.
}
https://github.com/berriai/litellm/issues/30532 3:1 https://github.com/berriai/litellm/issues/27429
Sorting LiteLLM GitHub issues by difficulty to implement. Higher = harder.
{
MCP gateway validation spans request routing, authorization, empty-resolution handling, error semantics, and regression coverage across integrations, creating broader behavioral risk. The container migration failure is more localized to image filesystem ownership, cache configuration, or startup setup.
}
https://github.com/berriai/litellm/issues/32563 3:1 https://github.com/berriai/litellm/issues/34236
Sorting LiteLLM GitHub issues by difficulty to implement. Higher = harder.
{
The right issue is harder because it adds provider-specific structured-output support across Bedrock request transformation, model capability detection, compatibility handling, and regression coverage, whereas the left is a localized extraction fix with comparatively limited behavioral scope.
}
https://github.com/berriai/litellm/issues/31882 3:1 https://github.com/berriai/litellm/issues/33086