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d8edfb69c2
An auto_router deployment is a marker, not something a probe can contact, so
`_run_model_health_check` returns `{}` for it and it lands healthy whatever is
behind it. This derives its verdict from the models it actually resolves.
Rules and owners:
- `strategy_router_dependencies` is the single answer to "what does this router
call": tier, default, classifier and embedding names per router kind, aligned
with what init and the request path actually use.
- `_health_check_eligible` is the single probe-eligibility gate, applied to the
requested set and to the pool a router's dependencies are drawn from alike, so
an opted-out deployment cannot re-enter through a router that depends on it.
- `_resolved_deployment_ids` resolves names through `get_model_list`, the same
composition of alias, routing-group and wildcard channels a request uses.
- A dependency reds its router only when *every* deployment behind the name is
known unhealthy. A replica this run never judged, hidden from the caller or
opted out of health checks, can still serve what the dead one drops, so
partial evidence leaves the verdict green. Absent information never reds.
- Verdicts settle over rounds, because a marker never fails a probe of its own
and a parent whose tier is a red router must inherit that fault. Both sweeps
are bounded loops, so a router cycle terminates green.
- Dependency probes are added only on the targeted `/health?model_id=` path the
dashboard uses per deployment, and are dropped from the response.
Resolves LIT-6073
Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
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|---|---|---|
| .. | ||
| agent_tests | ||
| audio_tests | ||
| base_sdk_tests | ||
| basic_proxy_startup_tests | ||
| batches_tests | ||
| benchmarks | ||
| code_coverage_tests | ||
| documentation_tests | ||
| e2e | ||
| enterprise | ||
| guardrails_tests | ||
| image_gen_tests | ||
| integration | ||
| litellm-proxy-extras | ||
| litellm_utils_tests | ||
| llm_responses_api_testing | ||
| llm_translation | ||
| load_tests | ||
| local_testing | ||
| logging_callback_tests | ||
| mcp_tests | ||
| multi_instance_e2e_tests | ||
| ocr_tests | ||
| openai_endpoints_tests | ||
| otel_tests | ||
| pass_through_tests | ||
| pass_through_unit_tests | ||
| proxy_admin_ui_tests | ||
| proxy_behavior | ||
| proxy_e2e_anthropic_messages_tests | ||
| proxy_migration_tests | ||
| proxy_security_tests | ||
| proxy_unit_tests | ||
| router_unit_tests | ||
| search_tests | ||
| spend_tracking_tests | ||
| store_model_in_db_tests | ||
| test_litellm | ||
| unified_google_tests | ||
| vector_store_tests | ||
| windows_tests | ||
| __init__.py | ||
| _fake_openai_endpoint_server.py | ||
| _flush_vcr_cache.py | ||
| _live_test_helpers.py | ||
| _openai_record_replay_proxy.py | ||
| _vcr_conftest_common.py | ||
| _vcr_redis_persister.py | ||
| _wait_helpers.py | ||
| _ws_vcr.py | ||
| eval_swe_bench.py | ||
| fake_openai_endpoint.py | ||
| gettysburg.wav | ||
| large_text.py | ||
| openai_batch_completions.jsonl | ||
| pyrightconfig.json | ||
| README.MD | ||
| test_anthropic_compaction_usage.py | ||
| test_budget_management.py | ||
| test_callbacks_on_proxy.py | ||
| test_debug_warning.py | ||
| test_default_encoding_non_root.py | ||
| test_end_users.py | ||
| test_fallbacks.py | ||
| test_gpt5_azure_temperature_support.py | ||
| test_health.py | ||
| test_keys.py | ||
| test_litellm_proxy_responses_config.py | ||
| test_logging.conf | ||
| test_models.py | ||
| test_new_vector_store_endpoints.py | ||
| test_openai_endpoints.py | ||
| test_organizations.py | ||
| test_otel_thread_leak.py | ||
| test_presidio_latency.py | ||
| test_proxy_server_non_root.py | ||
| test_ratelimit.py | ||
| test_resource_cleanup.py | ||
| test_service_logger_otel.py | ||
| test_spend_logs.py | ||
| test_team.py | ||
| test_team_logging.py | ||
| test_team_members.py | ||
| test_users.py | ||
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.