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/28994 4:1 https://github.com/berriai/litellm/issues/33932

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

{
Issue 26916 is harder because it requires tracing and correcting cross-provider message translation, preserving reasoning semantics, handling compatibility choices, and adding regression coverage. Issue 31408 is a bounded catalog-data update with comparatively low implementation risk.
}
https://github.com/berriai/litellm/issues/26916 4:1 https://github.com/berriai/litellm/issues/31408

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

{
Issue 34102 appears broader and less narrowly scoped, likely requiring more investigation and potentially cross-component changes. Issue 23869 is comparatively localized to aligning the MCP creation path with the database schema and deployment migrations.
}
https://github.com/berriai/litellm/issues/34102 3:1 https://github.com/berriai/litellm/issues/23869

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

{
The right issue is harder because it likely spans startup lifecycle, database hydration, in-memory state synchronization, and regression testing across restart and write paths, while the left issue is comparatively localized to WebSocket request handling and compatibility behavior.
}
https://github.com/berriai/litellm/issues/32575 3:1 https://github.com/berriai/litellm/issues/25532

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

{
31609 requires coordinated changes across MCP proxy authentication, client construction, credential resolution, and tool-registration/call flows, with broader security and compatibility testing; 33016 is a localized message-translation branch defect with a narrow regression test.
}
https://github.com/berriai/litellm/issues/31609 5:1 https://github.com/berriai/litellm/issues/33016

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

{
Issue #29292 spans shared persistence and retry/batching behavior across multiple spend dimensions, requiring broader correctness, load, and regression testing. Issue #33330 is comparatively localized to budget validation and choosing the authoritative spend source, though distributed-state behavior adds some risk.
}
https://github.com/berriai/litellm/issues/29292 4:3 https://github.com/berriai/litellm/issues/33330

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

{
The left issue is harder because it requires careful reconciliation of persistent and startup configuration, preservation of precedence, failure-safe synchronization, and security-focused regression coverage. The right issue is more likely a localized execution-path and observability fix.
}
https://github.com/berriai/litellm/issues/35502 3:1 https://github.com/berriai/litellm/issues/31888

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

{
#31595 requires a cross-cutting proxy feature spanning routing, persistence, asynchronous training integration, runtime model updates, and dashboard operations, with substantial design and regression risk. #28554 is a narrowly scoped type-definition correction with targeted validation coverage.
}
https://github.com/berriai/litellm/issues/31595 10:1 https://github.com/berriai/litellm/issues/28554

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

{
Diagnosing an intermittent transport failure requires reproducing timing-dependent behavior, tracing streaming and timeout handling across deployment layers, and validating a robust fix; the other requires a narrowly scoped data correction with straightforward regression coverage.
}
https://github.com/berriai/litellm/issues/28474 10:1 https://github.com/berriai/litellm/issues/34799

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

{
The left task spans multimodal normalization, provider-specific translation, URL/data handling, metadata preservation, validation, and broad compatibility testing. The right task is comparatively localized to metric registration and configuration validation.
}
https://github.com/berriai/litellm/issues/30501 5:1 https://github.com/berriai/litellm/issues/30839