mirror of
https://github.com/BerriAI/litellm.git
synced 2026-08-28 05:25:59 +00:00
* test(e2e): harden stage flakes for batches, UI, and MCP Unique batch model names avoid load-balancing onto stale azure-batch deployments that still pointed at the retired gpt-4.1-mini-batch, which only the managed/unified path was hitting. Retry batch retrieve on 500 and /ui/api-keys navigation on ERR_ABORTED. Skip the MCP key-access suite when the compose-only mcp-upstream is unreachable on stage k8s * test(e2e): cover Datadog remote MCP via search_datadog_logs Register the regional Datadog MCP endpoint with DD-API-KEY / DD-APPLICATION-KEY static headers (CI-safe header auth; browser OAuth is not headless-automatable). Seed a chat completion marked e2e-datadog-mcp-*, assert the proxy shipped it, list tools, call search_datadog_logs for the marker, and delete the server on teardown. Math-upstream key-access tests only skip when that compose service is unreachable * test(e2e): drop compose math MCP upstream; use Datadog only Key-access denial and happy-path MCP e2e both register the real regional Datadog remote MCP server with DD-API-KEY / DD-APPLICATION-KEY headers. Remove the mcp-upstream compose service and FastMCP add/multiply fixture * docs(e2e): require real Datadog MCP for all mcp suite tests Document that tests/e2e/mcp must register via datadog_mcp helpers against mcp.<site>/v1/mcp and must not introduce compose or fake MCP upstreams * chore: restore mcp_e2e_upstream_server.py Keep the FastMCP fixture file; e2e no longer wires it in compose, but the module itself is not part of the Datadog-only cleanup * fix(e2e): load tests/e2e/.env and fix datadog_reader importlib load pytest on the host never inherited compose env_file keys, so DD_API_KEY stayed empty. load_dotenv tests/e2e/.env in e2e_config. Register the dynamically loaded datadog_reader module in sys.modules so dataclasses do not crash under Python 3.12 * test(e2e/batches): harden azure/vertex unified lifecycle flakes Put the provider deployment name in every JSONL body so Azure does not depend on a perfect model rewrite. Retry create/retrieve/cancel on transient statuses with backoff. Drop cancel assertions for azure and vertex (registry only has a shared basic cell; create+retrieve prove routing, cancel stays best-effort cleanup) * test(e2e/ui): treat api-keys shell as success after SPA ERR_ABORTED Post-login client redirects abort the first /ui/api-keys/ goto on stage. Wait off /ui/login after cookie set, then accept the page once Create New Key is visible even if goto raised ERR_ABORTED * test(e2e): drop flaky key models dropdown Playwright suite API management e2e already covers key generate/update persistence. The UI Models-dropdown sentinel cases only added SPA ERR_ABORTED noise and no unique product signal. Remove the suite and unused browser fixtures
23 lines
660 B
Python
23 lines
660 B
Python
"""Management suite's `client` fixture.
|
|
|
|
Lifecycle/liveness gate/marker live in the parent conftest. ManagementClient
|
|
holds the shared ProxyClient so `resources` / `scoped_key` clean up keys, teams,
|
|
users, and orgs this suite creates.
|
|
"""
|
|
|
|
import pytest
|
|
|
|
from management_client import ManagementClient, build_client
|
|
from proxy_client import ProxyClient
|
|
|
|
|
|
def pytest_configure(config: pytest.Config) -> None:
|
|
config.addinivalue_line(
|
|
"markers",
|
|
"covers: registry cell a test covers, e.g. mgmt.key.generate.persists",
|
|
)
|
|
|
|
|
|
@pytest.fixture(scope="session")
|
|
def client(proxy: ProxyClient) -> ManagementClient:
|
|
return build_client(proxy)
|