Merge remote-tracking branch 'origin/main' into litellm_internal_dev_03_16_2026

This commit is contained in:
yuneng-jiang 2026-03-16 16:33:40 -07:00
commit 2ebea084c9
45 changed files with 112 additions and 9 deletions

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@ -3218,6 +3218,7 @@ jobs:
-e DD_API_KEY=$DD_API_KEY \
-e DD_SITE=$DD_SITE \
-e LITELLM_LICENSE=$LITELLM_LICENSE \
-e LITELLM_USE_CHAT_COMPLETIONS_URL_FOR_ANTHROPIC_MESSAGES=true \
--add-host host.docker.internal:host-gateway \
--name my-app \
-v $(pwd)/litellm/proxy/example_config_yaml/pass_through_config.yaml:/app/config.yaml \

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@ -156,4 +156,4 @@ LiteLLM is a unified interface for 100+ LLM providers with two main components:
**Fix options:**
1. **Create a Prisma migration** (permanent) — run `prisma migrate dev --name <description>` in the worktree. The generated file will be picked up by `prisma migrate deploy` on next startup.
2. **Apply manually for local dev**`psql -d litellm -c "ALTER TABLE ... ADD COLUMN IF NOT EXISTS ..."` after each proxy start. Fine for dev, not for production.
3. **Update litellm-proxy-extras** — if the package is installed from PyPI, its migration directory must include the new file. Either update the package or run the migration manually until the next release ships it.
3. **Update litellm-proxy-extras** — if the package is installed from PyPI, its migration directory must include the new file. Either update the package or run the migration manually until the next release ships it.

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@ -11,7 +11,7 @@ echo "Starting security scans for LiteLLM..."
install_trivy() {
echo "Installing Trivy and required tools..."
sudo apt-get update
sudo apt-get install -y wget apt-transport-https gnupg lsb-release jq curl
sudo apt-get install -y wget apt-transport-https gnupg lsb-release jq curl bsdmainutils
wget -qO - https://aquasecurity.github.io/trivy-repo/deb/public.key | sudo apt-key add -
echo "deb https://aquasecurity.github.io/trivy-repo/deb $(lsb_release -sc) main" | sudo tee -a /etc/apt/sources.list.d/trivy.list
sudo apt-get update

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@ -660,7 +660,14 @@ def _select_model_name_for_cost_calc(
if custom_pricing is True:
if router_model_id is not None and router_model_id in litellm.model_cost:
return_model = router_model_id
entry = litellm.model_cost[router_model_id]
if (
entry.get("input_cost_per_token") is not None
or entry.get("input_cost_per_second") is not None
):
return_model = router_model_id
else:
return_model = model
else:
return_model = model

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@ -1,6 +1,6 @@
from fastapi import Request
from litellm.proxy._types import UserAPIKeyAuth
from litellm.proxy._types import LitellmUserRoles, UserAPIKeyAuth
async def user_api_key_auth(request: Request, api_key: str) -> UserAPIKeyAuth:
@ -9,6 +9,7 @@ async def user_api_key_auth(request: Request, api_key: str) -> UserAPIKeyAuth:
api_key="best-api-key-ever",
user_id="best-user-id-ever",
team_id="best-team-id-ever",
user_role=LitellmUserRoles.PROXY_ADMIN,
)
except Exception:
raise Exception

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@ -340,9 +340,16 @@ class ProxyInitializationHelpers:
return
# Check if prometheus is in any callback list
# Each setting can be a list or a single string; normalize to list
callbacks = litellm_settings.get("callbacks") or []
success_callbacks = litellm_settings.get("success_callback") or []
failure_callbacks = litellm_settings.get("failure_callback") or []
if isinstance(callbacks, str):
callbacks = [callbacks]
if isinstance(success_callbacks, str):
success_callbacks = [success_callbacks]
if isinstance(failure_callbacks, str):
failure_callbacks = [failure_callbacks]
all_callbacks = callbacks + success_callbacks + failure_callbacks
if "prometheus" not in all_callbacks:
return

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@ -1,6 +1,6 @@
[tool.poetry]
name = "litellm"
version = "1.82.2"
version = "1.82.3"
description = "Library to easily interface with LLM API providers"
authors = ["BerriAI"]
license = "MIT"
@ -183,7 +183,7 @@ requires = ["poetry-core", "wheel"]
build-backend = "poetry.core.masonry.api"
[tool.commitizen]
version = "1.82.2"
version = "1.82.3"
version_files = [
"pyproject.toml:^version"
]

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@ -199,6 +199,7 @@ def test_router_get_model_info_wildcard_routes():
@pytest.mark.asyncio
@pytest.mark.flaky(retries=3, delay=1)
async def test_router_get_model_group_usage_wildcard_routes():
os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True"
litellm.model_cost = litellm.get_model_cost_map(url="")
@ -219,7 +220,7 @@ async def test_router_get_model_group_usage_wildcard_routes():
)
print(resp)
await asyncio.sleep(1)
await asyncio.sleep(2)
tpm, rpm = await router.get_model_group_usage(model_group="gemini/gemini-1.5-flash")

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@ -395,6 +395,7 @@ async def test_mcp_http_transport_tool_not_found():
@pytest.mark.asyncio
async def test_streamable_http_mcp_handler_mock():
"""Test the streamable HTTP MCP handler functionality"""
from litellm.proxy._types import UserAPIKeyAuth
# Mock the session manager and its methods
mock_session_manager = AsyncMock()
@ -425,6 +426,8 @@ async def test_streamable_http_mcp_handler_mock():
), patch(
"litellm.proxy._experimental.mcp_server.server.extract_mcp_auth_context",
AsyncMock(return_value=mock_auth_context),
), patch(
"litellm.proxy._experimental.mcp_server.server.set_auth_context",
):
from litellm.proxy._experimental.mcp_server.server import (
handle_streamable_http_mcp,

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@ -67,6 +67,30 @@ class TestMaybeSetupPrometheusMultiprocDir:
assert os.environ["PROMETHEUS_MULTIPROC_DIR"] == custom_dir
assert os.path.isdir(custom_dir)
@pytest.mark.parametrize(
"litellm_settings",
[
{"callbacks": "prometheus"},
{"success_callback": "prometheus"},
{"failure_callback": "prometheus"},
{"callbacks": "custom_callback"}, # string but not prometheus
],
)
def test_handles_string_callbacks(self, litellm_settings):
"""When callbacks are specified as a string instead of a list, should not crash."""
with patch.dict(os.environ, {}, clear=False):
os.environ.pop("PROMETHEUS_MULTIPROC_DIR", None)
os.environ.pop("prometheus_multiproc_dir", None)
# Should not raise TypeError
ProxyInitializationHelpers._maybe_setup_prometheus_multiproc_dir(
num_workers=4,
litellm_settings=litellm_settings,
)
# Cleanup
os.environ.pop("PROMETHEUS_MULTIPROC_DIR", None)
@pytest.mark.parametrize(
"num_workers, litellm_settings",
[

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@ -677,7 +677,7 @@ class TestHealthAppFactory:
mock_atexit_register,
mock_subprocess_run,
):
"""Test that proxy exits with code 1 when PrismaManager.setup_database returns False"""
"""Test that proxy exits with code 1 when PrismaManager.setup_database returns False and --enforce_prisma_migration_check is set"""
from litellm.proxy.proxy_cli import run_server
mock_subprocess_run.return_value = MagicMock(returncode=0)
@ -717,7 +717,7 @@ class TestHealthAppFactory:
with pytest.raises(SystemExit) as exc_info:
run_server.main(
["--local", "--skip_server_startup"], standalone_mode=False
["--local", "--skip_server_startup", "--enforce_prisma_migration_check"], standalone_mode=False
)
assert exc_info.value.code == 1
mock_setup_database.assert_called_once_with(use_migrate=True)

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@ -388,6 +388,65 @@ def test_custom_pricing_cost_calc_uses_router_model_id_from_litellm_metadata():
assert custom_model_id not in (selected_model_no_custom or "")
def test_per_request_custom_pricing_with_router():
"""When custom pricing is passed as per-request kwargs (not in model_list),
_select_model_name_for_cost_calc should fall back to the model name
(where register_model stored the pricing) instead of the router_model_id
(which has no pricing data).
Regression test for the bug where response._hidden_params["response_cost"]
returned 0.0 for per-request custom pricing via Router.
"""
from litellm import Router
from litellm.cost_calculator import _select_model_name_for_cost_calc
router = Router(
model_list=[
{
"model_name": "openai/gpt-3.5-turbo",
"litellm_params": {
"model": "openai/gpt-3.5-turbo",
"api_key": "test_api_key",
},
},
]
)
# Get the deployment's model_id (hash) that the router registered
deployment = router.model_list[0]
router_model_id = deployment["model_info"]["id"]
# The router registered this hash in model_cost but without custom pricing
assert router_model_id in litellm.model_cost
entry = litellm.model_cost[router_model_id]
# No custom pricing was set in model_list, so these should be None
assert entry.get("input_cost_per_token") is None
# Now simulate what completion() does: register custom pricing under the model name
litellm.register_model(
{
"openai/gpt-3.5-turbo": {
"input_cost_per_token": 2.0,
"output_cost_per_token": 2.0,
"litellm_provider": "openai",
}
}
)
# _select_model_name_for_cost_calc should pick the model name (which has pricing),
# NOT the router_model_id (which has no pricing)
selected = _select_model_name_for_cost_calc(
model="openai/gpt-3.5-turbo",
completion_response=None,
custom_pricing=True,
custom_llm_provider="openai",
router_model_id=router_model_id,
)
assert selected is not None
assert router_model_id not in selected
assert "gpt-3.5-turbo" in selected
def test_azure_realtime_cost_calculator():
os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True"
litellm.model_cost = litellm.get_model_cost_map(url="")