top=oldest · bottom=newest
Sorting LiteLLM GitHub issues by difficulty to implement. Higher = harder.
{
Issue 32369 is harder because it spans multiple persistence models, encryption formats, nested metadata, rotation semantics, backward compatibility, and broad regression testing. Issue 35590 is comparatively localized to adaptive-router state initialization and numerical validation, with a narrower code and test surface.
}
https://github.com/berriai/litellm/issues/32369 4:1 https://github.com/berriai/litellm/issues/35590
Sorting LiteLLM GitHub issues by difficulty to implement. Higher = harder.
{
The memory-security integration requires broader architectural design, new trust and persistence flows, external dependency evaluation, configuration, testing, and security review. The Databricks change is comparatively localized to shared token-cost calculation behavior with focused regression tests.
}
https://github.com/berriai/litellm/issues/27949 5:1 https://github.com/berriai/litellm/issues/35608
Sorting LiteLLM GitHub issues by difficulty to implement. Higher = harder.
{
The MCP gateway work spans pagination state, proxy response compatibility, alternate endpoint behavior, and broader integration testing, while the Ollama issue is comparatively localized to response translation and output normalization.
}
https://github.com/berriai/litellm/issues/32229 4:1 https://github.com/berriai/litellm/issues/24137
Sorting LiteLLM GitHub issues by difficulty to implement. Higher = harder.
{
34076 requires cross-cutting authentication, configuration, dynamic loading, endpoint integration, compatibility, and security-focused testing, while 34758 is a narrower data-propagation and callback-observability fix within an existing provider path.
}
https://github.com/berriai/litellm/issues/34076 3:2 https://github.com/berriai/litellm/issues/34758
Sorting LiteLLM GitHub issues by difficulty to implement. Higher = harder.
{
The right issue is substantially harder because it spans multiple cross-cutting subsystems, regressions, authorization paths, accounting, and performance work, whereas the left issue is a focused provider-specific endpoint integration.
}
https://github.com/berriai/litellm/issues/30484 5:1 https://github.com/berriai/litellm/issues/20961
Sorting LiteLLM GitHub issues by difficulty to implement. Higher = harder.
{
The right-hand task is substantially broader: it requires a new service integration, translation-layer behavior, configuration and compatibility handling, and extensive testing. The left-hand task appears localized to an interface-conformance defect with focused regression coverage.
}
https://github.com/berriai/litellm/issues/25372 5:1 https://github.com/berriai/litellm/issues/28466
Sorting LiteLLM GitHub issues by difficulty to implement. Higher = harder.
{
31828 requires a cross-cutting asynchronous architecture involving persistence, worker lifecycle, retries, failure recovery, policy controls, security, and operational configuration, creating substantially greater integration and reliability risk. 34730 is a localized control-flow and test correction with limited scope.
}
https://github.com/berriai/litellm/issues/31828 10:1 https://github.com/berriai/litellm/issues/34730
Sorting LiteLLM GitHub issues by difficulty to implement. Higher = harder.
{
The left item is harder because it expands an API response contract, requires ORM relation-loading and serialization validation, and may need configurable behavior plus performance and compatibility testing. The right item is a narrowly scoped resource-lifecycle correction with focused regression coverage.
}
https://github.com/berriai/litellm/issues/34394 3:1 https://github.com/berriai/litellm/issues/34269
Sorting LiteLLM GitHub issues by difficulty to implement. Higher = harder.
{
Supporting additional repository providers requires coordinated UI validation, proxy/API handling, authentication, security review, and regression coverage, while the other issue is a localized adapter mapping correction with targeted tests.
}
https://github.com/berriai/litellm/issues/32775 3:1 https://github.com/berriai/litellm/issues/32505
Sorting LiteLLM GitHub issues by difficulty to implement. Higher = harder.
{
Supporting a new multimodal translation path spans multiple Gemini backends, input encodings, MIME detection, metadata handling, validation, and broad regression coverage. The other task is comparatively localized to Bedrock model identifier handling in an existing endpoint, with narrower provider scope and behavior.
}
https://github.com/berriai/litellm/issues/30501 3:1 https://github.com/berriai/litellm/issues/32683