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

{
Credential-routing behavior requires tracing provider resolution across deployment and request contexts plus regression coverage, while the UI configuration fix is likely a localized reference correction.
}
https://github.com/berriai/litellm/issues/27516 4:1 https://github.com/berriai/litellm/issues/35583

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

{
OpenTelemetry attribute normalization spans shared instrumentation, type handling, compatibility, and regression testing across tracing paths; the HTTP status correction is narrower and likely localized to proxy/provider error mapping.
}
https://github.com/berriai/litellm/issues/24057 3:1 https://github.com/berriai/litellm/issues/29005

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

{
The right issue is harder because it likely requires tracing and adapting multimodal request handling across proxy validation, embedding translation, provider-specific behavior, and error paths, with broader integration testing. The left issue is comparatively localized to authorization matching logic, plus focused regression tests and consistency checks with existing wildcard semantics.
}
https://github.com/berriai/litellm/issues/31178 4:1 https://github.com/berriai/litellm/issues/27536

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

{
The vector-store work is harder because it introduces several coordinated API routes with storage lifecycle behavior, authorization, backend/provider integration, validation, and broader testing. The key-creation issue is comparatively localized to reconciling permission checks and UI/API behavior.
}
https://github.com/berriai/litellm/issues/15861 4:1 https://github.com/berriai/litellm/issues/20962

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

{
The right issue is harder because it requires coordinated configuration modeling, API and persistence changes, admin-interface work, authorization behavior, and cross-role testing. The left issue is narrower, centered on defensive client-side aggregation and correct handling of paginated usage data.
}
https://github.com/berriai/litellm/issues/32451 3:1 https://github.com/berriai/litellm/issues/33381

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

{
The left issue requires changes across request translation rules, compatibility handling, and regression coverage for multiple tool categories and provider behaviors. The right issue is narrower, centered on packaging or installation configuration and validation of the deployment path.
}
https://github.com/berriai/litellm/issues/27655 4:1 https://github.com/berriai/litellm/issues/26097

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

{
Cross-provider streaming compatibility requires tracing and correcting event sequencing, identifiers, and tool-call state across proxy translation layers while preserving behavior for existing clients; the timestamp issue is comparatively localized to timezone normalization and database/query handling.
}
https://github.com/berriai/litellm/issues/26529 4:1 https://github.com/berriai/litellm/issues/25234

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

{
The left issue is harder because it involves authorization semantics, conditional response shaping, persisted-data access, and UI behavior across multiple layers, with security-sensitive regression testing. The right issue is comparatively localized to provider model metadata, with a narrower investigation for credential reuse.
}
https://github.com/berriai/litellm/issues/34099 3:1 https://github.com/berriai/litellm/issues/27094

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

{
The RAGFlow issue is harder because it involves diagnosing and repairing an external-provider integration, including API compatibility, response parsing, error handling, and regression coverage. The dashboard issue is comparatively localized to update semantics and UI/backend state handling.
}
https://github.com/berriai/litellm/issues/28773 3:1 https://github.com/berriai/litellm/issues/34005

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

{
The left issue is harder because it requires coordinating identifier propagation across request handling, logging, database persistence, and object-storage naming, with compatibility and configuration edge cases. The right issue is comparatively localized input normalization with a smaller regression surface.
}
https://github.com/berriai/litellm/issues/32028 4:1 https://github.com/berriai/litellm/issues/27591