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* test: add logging e2e coverage (s3_v2, gcs_bucket, team langfuse callback, datadog failure) Five new live e2e scenarios raising Logging & Guardrails registry coverage: s3_v2 success and failure objects read back from the real S3 bucket, gcs_bucket success record read back through the GCS JSON API (with nextPageToken pagination and per-request bearer minting), team-scoped Langfuse callback delivery with non-team isolation, and DataDog failure event delivery queried by indexed model_group. datadog_reader gains query-based variants of the marker search; the langfuse cell is a new registry row. Bucket readers settle past a full flush interval so a late duplicate cannot hide from the exactly-one assertions * test: cover clock-skew day prefix in gcs read-back and retry team callback propagation * test: key the s3 failure read-back on the provider error, not payload absence * chore: rerun ci * chore: rerun ci after config sync * chore: rerun ci with pr lane env * chore: rerun ci * chore: rerun ci * chore: rerun ci * chore: rerun ci * chore: rerun ci * test: add guardrail e2e coverage (presidio masking, bedrock post and during call, moderation on messages) (#38553) * test: add guardrail e2e coverage (presidio masking, bedrock post/during, moderation on messages) * test: require the phone placeholder positively in the presidio masking predicate * test: count only the 400 verdict body as a bedrock post_call block * test(e2e): exempt the guardrail config echo from the post_call leak assertion * test(e2e): pin the fail-closed contract for an unknown guardrail name (skipped, product gap) * test(e2e): tolerate the readiness 503 from a transient db blip in the callback-config probes
170 lines
8.1 KiB
Python
170 lines
8.1 KiB
Python
"""Live e2e: s3_v2 log delivery for successful and failed calls.
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Covers logging.s3.success.writes_object and logging.s3.failure.writes_object:
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one /chat/completions call must land in the real S3 bucket as exactly one
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StandardLoggingPayload object (the primary audit trail; the batch flush must
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neither drop nor duplicate it), and a failed call must be persisted the same
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way for compliance. Delivery is judged on what is actually in the bucket: the
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proxy writes with its production credentials and the test lists and reads the
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objects back.
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Both halves of the contract are asserted: the recorded state (the proxy
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reports the S3Logger callback active via /health/readiness/details) and the
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enforced behavior (the object in the bucket, with the cost cross-checked
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against the x-litellm-response-cost header of the very response the caller
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received).
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The suite requires ``s3_callback_params.s3_use_key_prefix: true`` on the proxy,
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which keys objects as ``{key_alias}/{date}/time-..._{id}.json`` - a unique key
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alias per test turns the poll into a cheap prefix listing.
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"""
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from __future__ import annotations
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import math
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import time
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import pytest
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from e2e_config import CHEAP_ANTHROPIC_MODEL, unique_marker
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from lifecycle import ResourceManager
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from logging_client import (
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INVALID_UPSTREAM_API_KEY,
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LoggingClient,
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completion_response_id,
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first_ok,
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readiness_details_body,
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)
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from models import LiteLLMParamsBody
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from s3_reader import S3LogReader, build_s3_reader
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pytestmark = pytest.mark.e2e
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#: The active s3_v2 callback's name in /health/readiness/details success_callbacks.
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S3_LOGGER_NAME = "S3Logger"
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@pytest.fixture(scope="session")
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def s3_logs() -> S3LogReader:
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return build_s3_reader()
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def _assert_s3_configured(client: LoggingClient) -> None:
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"""Recorded state: the proxy reports the s3_v2 callback among its active
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callbacks, so a missing destination config fails here, before any
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delivery-based assertion can time out confusingly."""
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body = readiness_details_body(client)
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assert S3_LOGGER_NAME in body, (
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f"the proxy must report the {S3_LOGGER_NAME} callback active "
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f"(litellm_settings.callbacks: ['s3_v2'] + s3_callback_params in the proxy config); "
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f"got: {body[:400]}"
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)
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class TestS3LogDelivery:
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@pytest.mark.covers("logging.s3.success.writes_object", exercised_on=["chat_completions"])
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def test_chat_completions_writes_one_success_object(
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self, client: LoggingClient, s3_logs: S3LogReader, resources: ResourceManager
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) -> None:
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"""One successful non-streaming /chat/completions call must land in
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the bucket as exactly one payload object carrying the model group, the
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token counts, and the same cost the caller's response header reported."""
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_assert_s3_configured(client)
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alias = f"s3-chat-{unique_marker()}"
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key = client.key_with_alias(alias, models=[CHEAP_ANTHROPIC_MODEL])
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resources.defer(lambda: client.delete_key(key))
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marker = unique_marker()
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outcome = first_ok(
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client,
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lambda: client.chat_raw(key, CHEAP_ANTHROPIC_MODEL, f"reply with one word {marker}", max_tokens=16),
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)
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assert outcome.response_cost is not None and outcome.response_cost > 0, (
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f"the response must report x-litellm-response-cost, got {outcome.response_cost!r}"
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)
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body_id = completion_response_id(outcome.body)
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assert body_id is not None, "the completion body must carry an id (it names the s3 object)"
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records = s3_logs.poll_records(prefix=f"{alias}/", predicate=lambda r: r.id == body_id)
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assert records, (
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f"no s3 object for response {body_id} under prefix {alias}/ reached the bucket within the deadline"
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)
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assert len(records) == 1, (
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f"expected exactly ONE s3 object for the call, got {len(records)} - "
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"more than one object for one call is the duplicate-delivery bug"
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)
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record = records[0]
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assert record.status == "success", f"payload status must be success, got {record.status!r}"
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assert record.model_group == CHEAP_ANTHROPIC_MODEL, (
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f"payload model_group must be {CHEAP_ANTHROPIC_MODEL!r}, got {record.model_group!r}"
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)
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assert record.total_tokens is not None and record.total_tokens > 0, (
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f"payload must count real tokens, got {record.total_tokens!r}"
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)
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assert record.response_cost is not None and math.isclose(
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record.response_cost, outcome.response_cost, rel_tol=1e-9
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), f"payload response_cost {record.response_cost!r} must equal the header cost {outcome.response_cost}"
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@pytest.mark.covers("logging.s3.failure.writes_object", exercised_on=["chat_completions"])
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def test_chat_completions_failure_writes_one_object(
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self, client: LoggingClient, s3_logs: S3LogReader, resources: ResourceManager
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) -> None:
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"""A call that fails at the provider must be persisted to the bucket as
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exactly one failure payload carrying the provider error - failed calls
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are part of the audit trail, not an exemption from it.
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A deployment with an invalid upstream key lets the request pass proxy
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auth and fail at the provider (the same lever as the OTEL error test).
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Proxy-side rejections during key/model propagation can also ship
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failure payloads under this alias, but without a model_group and
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without the provider error, so the read-back keys on both: only
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provider-reaching calls carry them, and with this key every one of
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those is the AnthropicException that ends the send loop."""
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_assert_s3_configured(client)
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model_name = f"s3-err-{unique_marker()}"
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model_id = client.create_model(
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model_name,
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LiteLLMParamsBody(model="anthropic/claude-haiku-4-5", api_key=INVALID_UPSTREAM_API_KEY),
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)
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resources.defer(lambda: client.delete_model(model_id))
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alias = f"s3-err-key-{unique_marker()}"
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key = client.key_with_alias(alias, models=[model_name])
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resources.defer(lambda: client.delete_key(key))
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deadline = time.monotonic() + client.proxy.poll_timeout
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while True:
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outcome = client.chat_raw(key, model_name, "trigger an upstream auth failure", max_tokens=16)
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assert not outcome.ok, "the call must fail; the deployment's upstream key is invalid"
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assert outcome.status_code != -1, (
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"network failure between the test and the proxy while provoking the provider "
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"failure; retrying now could double-log the failure payload and falsely trip "
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f"the exactly-one assertion - fix the rig connectivity first: {outcome.body[:200]}"
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)
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if "AnthropicException" in outcome.body or time.monotonic() >= deadline:
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break
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time.sleep(client.proxy.poll_interval)
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assert "AnthropicException" in outcome.body, (
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"never saw the upstream provider failure before the deadline; the key may still be "
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f"propagating - last outcome {outcome.status_code}: {outcome.body[:200]}"
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)
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assert outcome.status_code == 401, (
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f"an upstream auth failure must map to 401, got {outcome.status_code}: {outcome.body[:200]}"
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)
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records = s3_logs.poll_records(
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prefix=f"{alias}/",
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predicate=lambda r: (
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r.status == "failure" and r.model_group == model_name and "AnthropicException" in (r.error_str or "")
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),
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)
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assert records, (
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f"no failure object for {model_name} under prefix {alias}/ reached the bucket within the deadline"
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)
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assert len(records) == 1, f"expected exactly ONE failure object for the call, got {len(records)}"
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record = records[0]
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assert record.error_str is not None and "AnthropicException" in record.error_str, (
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f"the persisted failure must carry the provider error, got error_str={record.error_str!r}"
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)
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assert not record.response_cost, f"a failed call must not be billed, got response_cost={record.response_cost!r}"
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