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* fix(cost): bill batch prompts above 272K at OpenAI's long-context batch tier * fix(cost): mirror batch long-context keys on custom pricing params Register the two *_above_272k_tokens_batches keys on CustomPricingLiteLLMParams so a per-deployment override stays out of the shared backend key, add them to the inline model-info schema and alias-count tests, and build LiteLLM_Params and GenericLiteLLMParams through model_validate at the two dict-splat call sites so basedpyright's reportArgumentType budget ratchets down instead of blocking the new fields. * fix(cost): add the gpt-5.5-pro batch long-context tier and ignore malformed batch tier keys * fix(cost): bill cached batch tokens at OpenAI's cached batch rate Adds cache_read_input_token_cost_batches and cache_read_input_token_cost_above_272k_tokens_batches for the tiered OpenAI entries at half the standard cached rate, bills cached batch tokens at that rate per output line, and parses string-valued batch rates in deployment-level model_info. * fix(cost): bill batch cache writes at the batch cache-write rate and carry published batch rates for one-sided deployments OpenAI's Batch table prices cache writes for gpt-6-astra, gpt-5.6, gpt-5.6-sol, gpt-5.6-terra and gpt-5.6-luna at half the standard cache-write rate, so the cost map gains cache_creation_input_token_cost_batches and its above_272k tier for those entries and batch cost pulls written tokens out of the input bucket at that rate; models without the key keep billing writes at the batch input rate. A deployment declaring only one side of its batch pricing now carries every published batch rate of the other side (tier, cached, cache write), its own keys win, and a lone tier, cached or cache-write batch key counts as declared pricing instead of being ignored. * fix(cost): select the batch long-context tier from any batch tier key A deployment that declares its own flat standard input rate keeps every published batch rate of the output direction, including the 272K output tier, but the tier was only ever selected when an input tier key was also present. Detect the crossed tier from any of the four batch tier keys so the carried output, cache-read, and cache-write tiers bill at their tier rate above 272K tokens. * chore(proxy): keep the OpenAPI snapshot as CI generates it * fix(cost): pick each batch price component's tier from its own keys The batch rate picker crossed one threshold for every component, so a deployment declaring only an output tier also moved its input, cached, and cache-write rates to that cutoff. Each component now crosses its own *_above_<N>k_tokens_batches keys and falls back to its flat key. The JSON schema is regenerated with the generator as it is on main: cost-map-guard renders the PR's cost map with the base branch's generator, so the descriptions for the new batch cache keys move to a follow-up. * chore(proxy): restore the lazy OpenAPI snapshot to what CI's Python 3.12 generates The merge commit carried a snapshot regenerated on a Python 3.14 venv, which dedents docstrings at compile time, so one description line differed from the file CI regenerates on 3.12 and the schema.d.ts sync check went red. The snapshot is byte-identical to main again |
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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 | ||
| rust-python-harness | ||
| search_tests | ||
| spend_tracking_tests | ||
| store_model_in_db_tests | ||
| test_gateway | ||
| test_litellm | ||
| test_litellm_rust | ||
| unified_google_tests | ||
| unit | ||
| 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 | ||
| AGENTS.md | ||
| 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_rust_python_harness.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.