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* Feat: Add Weighted-Routing Failover * test(router): cover weighted failover helper functions Co-authored-by: Cursor <cursoragent@cursor.com> * fix(router): align weighted failover deployment list type with mypy Co-authored-by: Cursor <cursoragent@cursor.com> * fix(router): address greptile review on weighted failover - Narrow exception swallowing in `_maybe_run_weighted_failover` to `openai.APIError` so model failures defer to the regular fallback while programming bugs (AttributeError/KeyError/TypeError) surface. - Note async-only limitation of `enable_weighted_failover` in the Router constructor docstring. - Make the weighted distribution test less flaky (1000 iterations, looser bound) and make the non-simple-shuffle test deterministic by failing both deployments instead of relying on the latency strategy's first pick. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(router): ensure weighted failover metadata persists in kwargs The previous `kwargs.setdefault(metadata_variable_name, {}) or {}` returned a brand-new dict whenever the existing metadata was falsy (empty dict or None), so writes to `_failover_excluded_ids` never made it back into `kwargs`. Multi-hop weighted failover then re-selected previously failed deployments and exhausted `max_fallbacks` prematurely. Explicitly assign a fresh dict into kwargs when metadata is missing so mutations are visible to subsequent failover hops. Co-authored-by: Yassin Kortam <yassin@berri.ai> * test(router): regression for weighted failover metadata persistence Asserts kwargs["metadata"]["_failover_excluded_ids"] is populated after _maybe_run_weighted_failover, proving the metadata dict written by the helper is the same object that lives in kwargs (no disconnected copy). Pairs with the prior fix that replaced `setdefault(..., {}) or {}` with an explicit get/assign so writes survive across hops. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(router): harden weighted failover error/state handling - Catch RouterRateLimitError (ValueError) alongside openai.APIError in _maybe_run_weighted_failover so an exhausted intra-group retry falls through to the regular cross-group fallback path instead of bubbling out and bypassing configured fallbacks. - Stop mutating the shared input_kwargs dict; build a local copy with the weighted-failover keys so the entry (with _excluded_deployment_ids) cannot leak into later fallback paths reading the same dict. - _get_excluded_filtered_deployments now returns an empty list when the exclusion filter removes every healthy deployment, instead of falling back to the original list. The original-list behavior risked re-picking the just-failed deployment; callers already handle the empty case by raising their no-deployments error, which weighted failover now catches and converts into a normal cross-group fallback. Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(router): fall through to rpm/tpm when total weight is zero When the weight metric's total is zero (e.g. after weighted-failover exclusion leaves only zero-weight backups), continue to the next metric (rpm/tpm) instead of returning a uniform random pick immediately. This lets rpm/tpm still drive routing when present, and only falls back to the uniform random pick at the end if no metric provides a positive total weight. Co-authored-by: Yassin Kortam <yassin@berri.ai> * fix(router): skip weighted failover when remaining deployments are all in cooldown _maybe_run_weighted_failover was computing 'remaining' from all_deployments (every deployment in the model group, including those in cooldown). This meant that when all non-excluded deployments were in cooldown the method still invoked run_async_fallback unnecessarily, which propagated into async_get_healthy_deployments, found no eligible deployments, and raised RouterRateLimitError — only safely caught thanks to the earlier exception-broadening fix. The fix: before computing 'remaining', fetch the current cooldown set via _async_get_cooldown_deployments and subtract it from all_ids. This allows _maybe_run_weighted_failover to return None immediately (skipping the run_async_fallback call entirely) when every non-failed deployment is in cooldown, letting the caller fall through to the correct cross-group fallback path without the wasteful extra round-trip. Tests added: - unit: _maybe_run_weighted_failover returns None without calling run_async_fallback when all remaining deployments are in cooldown - unit: _maybe_run_weighted_failover still calls run_async_fallback when at least one healthy (non-cooldown) deployment is available - integration: end-to-end fallthrough to cross-group fallback when remaining deployments are in cooldown Co-authored-by: Sameer Kankute <Sameerlite@users.noreply.github.com> --------- Co-authored-by: Cursor <cursoragent@cursor.com> Co-authored-by: Yassin Kortam <yassin@berri.ai> Co-authored-by: Sameer Kankute <Sameerlite@users.noreply.github.com>
In total litellm runs 1000+ tests
[02/20/2025] Update:
To make it easier to contribute and map what behavior is tested,
we've started mapping the litellm directory in tests/test_litellm
This folder can only run mock tests.