top=oldest · bottom=newest
Sorting LiteLLM GitHub issues by difficulty to implement. Higher = harder.
{
26913 requires diagnosing and safely fixing failure propagation across streaming, custom handlers, exception normalization, and fallback execution, with regression coverage. 29400 provides no actionable technical scope, so its implementation effort appears minimal or indeterminate.
}
https://github.com/berriai/litellm/issues/26913 4:1 https://github.com/berriai/litellm/issues/29400
Sorting LiteLLM GitHub issues by difficulty to implement. Higher = harder.
{
The left requires a cross-cutting authorization-model change with recursive resolution, persistence and update propagation, cycle/consistency safeguards, compatibility handling, and broad testing. The right is narrower debugging of an existing request-processing path, mainly involving streaming behavior and regression coverage.
}
https://github.com/berriai/litellm/issues/28032 4:1 https://github.com/berriai/litellm/issues/28458
Sorting LiteLLM GitHub issues by difficulty to implement. Higher = harder.
{
The left issue spans proxy routing, credential resolution, and managed-resource integration behavior, creating broader regression risk and requiring end-to-end coverage. The right is comparatively localized to provider request construction with focused adapter tests.
}
https://github.com/berriai/litellm/issues/35362 3:1 https://github.com/berriai/litellm/issues/27138
Sorting LiteLLM GitHub issues by difficulty to implement. Higher = harder.
{
#30919 is harder because its scope and implementation requirements are unspecified, creating greater discovery and integration risk; #33058 is a narrowly bounded metadata-only update.
}
https://github.com/berriai/litellm/issues/30919 5:1 https://github.com/berriai/litellm/issues/33058
Sorting LiteLLM GitHub issues by difficulty to implement. Higher = harder.
{
The left issue likely requires tracing metadata through the OpenAI-compatible request path, callback translation, and Langfuse integration, with compatibility and regression testing across interfaces. The right issue appears localized to proxy route registration and scraper-facing behavior, making it lower scope and lower risk.
}
https://github.com/berriai/litellm/issues/31378 3:1 https://github.com/berriai/litellm/issues/30079
Sorting LiteLLM GitHub issues by difficulty to implement. Higher = harder.
{
The left issue is harder because it spans dependency installation, container image behavior, offline startup guarantees, Prisma engine compatibility, and migration execution across deployment environments. The right issue is more localized to message normalization and provider-specific tool-call handling, with a narrower testing surface.
}
https://github.com/berriai/litellm/issues/33167 3:2 https://github.com/berriai/litellm/issues/28995
Sorting LiteLLM GitHub issues by difficulty to implement. Higher = harder.
{
The left task is harder because it requires carefully modifying provider-specific request transformation logic while preserving metadata across multiple message/content shapes and validating interactions with guardrail behavior and caching. The right task is more localized to proxy request-header extraction, configuration handling, and role-mapping validation, with a narrower integration surface. The left therefore carries greater implementation and regression risk.
}
https://github.com/berriai/litellm/issues/33281 3:1 https://github.com/berriai/litellm/issues/14667
Sorting LiteLLM GitHub issues by difficulty to implement. Higher = harder.
{
The right-hand task spans dashboard UI, team-scoped model discovery, and secure session credential issuance, requiring coordinated frontend/backend and authorization changes. The left-hand task is a localized provider-auth parameter propagation fix with narrower regression testing.
}
https://github.com/berriai/litellm/issues/35187 5:1 https://github.com/berriai/litellm/issues/33055
Sorting LiteLLM GitHub issues by difficulty to implement. Higher = harder.
{
The right issue is harder because it involves shared proxy authentication and header-routing behavior, security-sensitive filtering, endpoint-specific compatibility, and regression risk across forwarding configurations. The left issue is comparatively localized to request validation or message transformation for one API shape.
}
https://github.com/berriai/litellm/issues/32202 3:1 https://github.com/berriai/litellm/issues/30705
Sorting LiteLLM GitHub issues by difficulty to implement. Higher = harder.
{
Resolving multiple high-severity dependency vulnerabilities without breaking compatibility may require coordinated upstream upgrades, validation, mitigation design, and security release management. The authentication defect is more localized: correcting session-policy handling with focused AWS integration tests.
}
https://github.com/berriai/litellm/issues/35541 3:1 https://github.com/berriai/litellm/issues/33094