mirror of
https://github.com/BerriAI/litellm.git
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* ci: run the unit_selection.sh shard files on every event instead of only fork pull requests Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * ci: rename fork-flag to unit-flag now that it applies on every event * test: move tests/test_litellm root and small trees into tests/unit Pure renames, no content changes. Follow-up commits in this PR fix references, merge the three files that already existed in tests/unit, keep live-provider tests in tests/test_litellm and wire CI. * test: carry tests/test_litellm conftest isolation into tests/unit Callback lists, routing fallbacks, cached HTTP clients, logger state, AWS, proxy-URL and keychain env, and session-end client cleanup now reset for unit tests too. The environment isolation owns its MonkeyPatch so a test's own monkeypatch is undone before the model-cost teardown runs. * test: merge, split and prune the moved root and small-tree tests Merge batches/test_batch_utils.py and the chat_completions and messages dispatch tests into the files that already existed in tests/unit. Keep the live Gemini interactions tests, the async image-fetch format test and the OpenAI embedding scorer test in tests/test_litellm since they need real network or keys. Put test_router.py under tests/unit/test_router so the existing package no longer shadows it. Delete eight tests the audit found superseded by stronger ones kept in this move. * ci: run the moved root and small-tree tests under their legacy flags Add the misc and responses-caching-types flags to unit_selection.sh and CircleCI, extend enterprise-routing and mcp-integration, and point the legacy GHA shards, Makefile, redis-compat workflow, merge smoke manifest and change classifier at the new paths. * test: make the new tests/unit directories packages tests/unit/test_package_layout.py requires every directory to carry an __init__.py, and without one the moved and retained test_litellm_responses_bridge.py modules collide on import. * test: scope the unit socket block to tests/unit in shared sessions The GHA shards collect the legacy test-path and the unit selection in one pytest session. The unit conftest's loopback-only block leaked into legacy modules that reach the network at import. The legacy conftest now lifts the restriction at collect and setup time, and the unit conftest re-applies it when collecting its own modules. * test: move tests/test_litellm/llms into tests/unit/llms Rename-only. Moves the provider tests and the fine-tuning fixtures they load, mirroring the old paths. Follow-up commits merge, split and wire them. * test: merge, split and prune the moved llms tests Merges the Databricks chat transformation tests into the existing unit file, keeps the tests that need real keys or the network in tests/test_litellm, deletes the audited tests a stronger unit test already covers, and points imports at tests.unit.llms. * ci: run the moved llms tests under their legacy flags The Vertex AI and All Other Providers shards keep their legacy test-path for the retained files and add the llm-vertex-ai and llm-other-providers unit selections. CircleCI gets matching unit jobs. * test: make the tests/unit/llms directories packages Adds __init__.py to the moved dirs and drops the legacy ones whose directories no longer hold tests. * test: drop script runners and path hacks the llms split left dangling The __main__ runners in the split openai_like files and the Databricks e2e runner called tests that now live in the other half of the split or were deleted. The retained legacy halves also no longer need sys.path edits. * test: give the shard-script tests their own GITHUB_OUTPUT They only passed where the runner set it. The CircleCI unit job's env allowlist drops it, so the script's redirect failed there. * test: point the router and module-deletion checks at tests/unit router_code_coverage and code_qa_check_tests only searched tests/test_litellm, so the moved router tests no longer counted. The two silent-experiment tests the audit deleted were the only direct callers of those methods; they are replaced with tests that assert the forwarded shadow request and the recursion guard. * test: move tests/test_litellm integrations and secret_managers into tests/unit Rename-only. Mirrors the old paths, including the directory conftests and the prompt and JSON fixtures. Follow-up commits prune and wire them. * test: prune and repoint the moved integrations tests Deletes the 7 audited tests a stronger test in the same tree already covers, imports the TLS sink helpers from their new conftest path, and restores os.environ after each integrations test. Some presets write OTEL_EXPORTER_OTLP_HEADERS straight into os.environ, and without the legacy tree's test ordering that header leaked into the AgentOps tests. * ci: run the moved integrations tests under their legacy flag The integrations GHA shard and a new CircleCI job run the integrations unit selection. secret_managers joins the misc selection. * docs: point integrations and secret_managers references at tests/unit * test: make the moved integrations directories packages * test: keep the Databricks manual e2e runner and fix the SageMaker Nova run path The Databricks e2e file is a manual script whose main() calls the tests that were pruned, so pruning them broke the documented run. It is back to its main version. The SageMaker Nova docstring now points at the file's real location in tests/local_testing. * test: keep the job's UNIT_FLAG out of the shard-script tests --------- Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
680 lines
26 KiB
Python
680 lines
26 KiB
Python
"""
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Tests for guardrail OTEL spans on violation.
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Two distinct gaps surface together when a pre-call guardrail blocks the
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request before it reaches the LLM provider:
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1. ``async_post_call_failure_hook`` (the OTEL hook that actually runs on
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the proxy failure path) only stamps attributes on the proxy parent
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span. It never creates the child ``guardrail`` span, even though
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``request_data["metadata"]["standard_logging_guardrail_information"]``
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is populated by the time the hook runs.
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2. ``_create_guardrail_span`` records ``guardrail_name`` / ``guardrail_mode``
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/ ``guardrail_response`` but does not surface ``guardrail_status``
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(success / guardrail_intervened / guardrail_failed_to_respond /
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not_run) or the violation categories (Bedrock topic policy names,
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content filter types, etc.) as queryable span attributes — the data
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is buried inside the serialised ``guardrail_response`` blob and cannot
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be filtered on in the trace backend.
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The tests below use real OTEL SDK objects (TracerProvider +
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InMemorySpanExporter + a real BatchSpanProcessor-equivalent) and the
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real ``OpenTelemetry`` integration. No monkey patching of the integration
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under test — only the OTEL exporter is in-memory.
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"""
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import time
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import unittest
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from datetime import datetime, timedelta, timezone
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from opentelemetry.sdk.trace import TracerProvider
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from opentelemetry.sdk.trace.export import SimpleSpanProcessor
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from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter
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from opentelemetry.trace import StatusCode
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from litellm.integrations.opentelemetry import (
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LITELLM_REQUEST_SPAN_NAME,
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OpenTelemetry,
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)
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from litellm.proxy._types import UserAPIKeyAuth
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GUARDRAIL_SPAN_NAME = "guardrail"
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PROXY_SPAN_NAME = "Received Proxy Server Request"
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def _bedrock_block_response():
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"""Realistic Bedrock ApplyGuardrail response when a topic policy fires.
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Mirrors the shape in ``litellm/types/proxy/guardrails/guardrail_hooks/
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bedrock_guardrails.py`` so the violation-category extraction can be
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tested against the exact payload Bedrock returns.
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"""
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return {
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"action": "GUARDRAIL_INTERVENED",
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"assessments": [
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{
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"topicPolicy": {
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"topics": [
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{
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"name": "Fiduciary Advice",
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"type": "DENY",
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"action": "BLOCKED",
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}
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]
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},
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"contentPolicy": {
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"filters": [
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{
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"type": "VIOLENCE",
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"confidence": "HIGH",
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"action": "BLOCKED",
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}
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]
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},
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"wordPolicy": {
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"customWords": [{"match": "secret-codeword", "action": "BLOCKED"}],
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"managedWordLists": [
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{"match": "fuck", "type": "PROFANITY", "action": "BLOCKED"}
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],
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},
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}
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],
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"outputs": [{"text": "Sorry, the model cannot respond to this request."}],
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}
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def _slg_entry(
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guardrail_status,
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guardrail_response,
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*,
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name="bedrock-test",
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mode="pre_call",
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provider="bedrock",
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start=1.0,
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end=2.0,
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violation_categories=None,
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guardrail_action=None,
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):
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"""Build a StandardLoggingGuardrailInformation entry the way
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``add_standard_logging_guardrail_information_to_request_data`` does."""
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entry = {
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"guardrail_name": name,
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"guardrail_provider": provider,
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"guardrail_mode": mode,
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"guardrail_response": guardrail_response,
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"guardrail_status": guardrail_status,
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"start_time": start,
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"end_time": end,
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"duration": end - start,
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}
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if violation_categories is not None:
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entry["violation_categories"] = violation_categories
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if guardrail_action is not None:
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entry["guardrail_action"] = guardrail_action
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return entry
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def _kwargs_with_guardrail(
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*,
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entries,
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parent_span=None,
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include_exception=False,
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):
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"""Build the kwargs / model_call_details shape that the OTEL integration
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consumes. ``litellm_params.metadata`` is the SAME dict that the proxy's
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``request_data["metadata"]`` becomes after ``update_environment_variables``,
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so ``_otel_internal`` dedupe state lives there too."""
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metadata = {"standard_logging_guardrail_information": list(entries)}
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if parent_span is not None:
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metadata["litellm_parent_otel_span"] = parent_span
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kwargs = {
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"model": "gpt-4",
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"messages": [{"role": "user", "content": "Hello"}],
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"optional_params": {},
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"litellm_params": {
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"custom_llm_provider": "openai",
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"metadata": metadata,
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},
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"standard_logging_object": {
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"id": "test-call-id",
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"call_type": "completion",
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"metadata": metadata,
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"hidden_params": {},
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"guardrail_information": list(entries),
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},
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}
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if include_exception:
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kwargs["exception"] = Exception("guardrail blocked the request")
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return kwargs
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def _make_otel():
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"""Spin up a real OTEL pipeline backed by an in-memory exporter."""
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exporter = InMemorySpanExporter()
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provider = TracerProvider()
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provider.add_span_processor(SimpleSpanProcessor(exporter))
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otel = OpenTelemetry(tracer_provider=provider)
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otel.tracer = provider.get_tracer(__name__)
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return otel, provider, exporter
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def _run(coro):
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"""Run a coroutine on a fresh event loop and close it — prevents the
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"unclosed event loop" / ResourceWarning that you get from
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asyncio.new_event_loop().run_until_complete() with no cleanup."""
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import asyncio
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loop = asyncio.new_event_loop()
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try:
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return loop.run_until_complete(coro)
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finally:
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loop.close()
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def _attr(span, key):
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return (span.attributes or {}).get(key)
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class TestGuardrailSpanOnViolation(unittest.TestCase):
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"""Bug 1: when a pre-call guardrail blocks, the guardrail span and the
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litellm_request span must both appear with the correct status."""
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def test_handle_failure_creates_litellm_request_and_guardrail_spans(self):
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"""Driving ``_handle_failure`` with a populated
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``standard_logging_object['guardrail_information']`` entry must
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emit both spans, parented correctly, with ERROR on the parent."""
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otel, _, exporter = _make_otel()
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kwargs = _kwargs_with_guardrail(
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entries=[
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_slg_entry("guardrail_intervened", _bedrock_block_response()),
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],
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include_exception=True,
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)
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start = datetime.now(timezone.utc)
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end = start + timedelta(milliseconds=20)
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otel._handle_failure(kwargs, response_obj=None, start_time=start, end_time=end)
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spans = exporter.get_finished_spans()
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litellm_spans = [s for s in spans if s.name == LITELLM_REQUEST_SPAN_NAME]
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guardrail_spans = [s for s in spans if s.name == GUARDRAIL_SPAN_NAME]
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self.assertEqual(
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len(litellm_spans),
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1,
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"Expected exactly one litellm_request span on guardrail block",
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)
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self.assertEqual(litellm_spans[0].status.status_code, StatusCode.ERROR)
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self.assertEqual(
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len(guardrail_spans),
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1,
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"Expected exactly one guardrail span on guardrail block",
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)
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# Guardrail span must be a child of the litellm_request span
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self.assertIsNotNone(
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guardrail_spans[0].parent,
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"Guardrail span must be parented (not a root span)",
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)
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self.assertEqual(
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guardrail_spans[0].parent.span_id,
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litellm_spans[0].context.span_id,
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)
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def test_async_post_call_failure_hook_emits_guardrail_span(self):
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"""The production failure path on the proxy calls
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``async_post_call_failure_hook`` with the (still-populated)
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``request_data``. The hook currently only stamps attrs on the proxy
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span; it must also emit the guardrail span so the violation is
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visible in the trace."""
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otel, provider, exporter = _make_otel()
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parent_span = provider.get_tracer(__name__).start_span(PROXY_SPAN_NAME)
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user_api_key_dict = UserAPIKeyAuth(
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api_key="sk-test",
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parent_otel_span=parent_span,
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request_route="/chat/completions",
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)
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request_data = {
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"model": "gpt-4",
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"messages": [{"role": "user", "content": "Hello"}],
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"metadata": {
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"standard_logging_guardrail_information": [
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_slg_entry("guardrail_intervened", _bedrock_block_response())
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],
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},
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}
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_run(
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otel.async_post_call_failure_hook(
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request_data=request_data,
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original_exception=Exception("guardrail blocked"),
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user_api_key_dict=user_api_key_dict,
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)
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)
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spans = exporter.get_finished_spans()
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guardrail_spans = [s for s in spans if s.name == GUARDRAIL_SPAN_NAME]
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self.assertEqual(
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len(guardrail_spans),
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1,
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"async_post_call_failure_hook must emit the guardrail span when "
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"request_data['metadata'] carries standard_logging_guardrail_information",
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)
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# The guardrail span must be parented to the proxy request span so
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# backends correlate it with the rest of the trace.
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self.assertIsNotNone(guardrail_spans[0].parent)
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self.assertEqual(
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guardrail_spans[0].parent.span_id,
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parent_span.context.span_id,
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)
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def test_post_call_failure_hook_emits_span_when_caller_sends_metadata(self):
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"""On routes that seed ``litellm_metadata`` the guardrail entry lives there,
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not in the caller's own ``metadata`` field. Reading a hard-coded ``metadata``
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key drops the span for exactly the requests that carry both."""
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otel, provider, exporter = _make_otel()
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parent_span = provider.get_tracer(__name__).start_span(PROXY_SPAN_NAME)
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user_api_key_dict = UserAPIKeyAuth(
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api_key="sk-test",
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parent_otel_span=parent_span,
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request_route="/v1/messages",
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)
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request_data = {
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"model": "claude-haiku",
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"messages": [{"role": "user", "content": "Hello"}],
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"metadata": {"user_id": "device-account-session"},
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"litellm_metadata": {
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"standard_logging_guardrail_information": [
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_slg_entry("guardrail_intervened", _bedrock_block_response())
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],
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},
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}
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_run(
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otel.async_post_call_failure_hook(
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request_data=request_data,
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original_exception=Exception("guardrail blocked"),
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user_api_key_dict=user_api_key_dict,
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)
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)
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guardrail_spans = [
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s for s in exporter.get_finished_spans() if s.name == GUARDRAIL_SPAN_NAME
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]
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self.assertEqual(
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len(guardrail_spans),
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1,
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"the guardrail span must be emitted from the resolved metadata bucket, "
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"not from a hard-coded 'metadata' key",
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)
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def test_handle_failure_and_post_call_failure_hook_dedupe(self):
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"""When _handle_failure and async_post_call_failure_hook BOTH fire
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for the same request (the production flow on a guardrail block),
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exactly one guardrail span must be emitted. The dedupe relies on
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request_data['metadata'] and kwargs['litellm_params']['metadata']
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referencing the SAME dict so _emit_once sees its earlier marker."""
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otel, provider, exporter = _make_otel()
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parent_span = provider.get_tracer(__name__).start_span(PROXY_SPAN_NAME)
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# Shared metadata dict — same identity, mirroring how
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# update_environment_variables wires them in the proxy.
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shared_metadata = {
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"standard_logging_guardrail_information": [
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_slg_entry(
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"guardrail_intervened",
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_bedrock_block_response(),
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violation_categories=["Fiduciary Advice"],
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)
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],
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}
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kwargs = {
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"model": "gpt-4",
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"messages": [{"role": "user", "content": "Hello"}],
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"optional_params": {},
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"litellm_params": {
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"custom_llm_provider": "openai",
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"metadata": shared_metadata,
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},
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"standard_logging_object": {
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"id": "test-call-id",
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"call_type": "completion",
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"metadata": shared_metadata,
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"hidden_params": {},
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"guardrail_information": shared_metadata[
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"standard_logging_guardrail_information"
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],
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},
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"exception": Exception("guardrail blocked"),
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}
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request_data = {
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"model": "gpt-4",
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"messages": [{"role": "user", "content": "Hello"}],
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"metadata": shared_metadata,
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}
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user_api_key_dict = UserAPIKeyAuth(
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api_key="sk-test",
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parent_otel_span=parent_span,
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request_route="/chat/completions",
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)
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start = datetime.now(timezone.utc)
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end = start + timedelta(milliseconds=20)
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otel._handle_failure(kwargs, response_obj=None, start_time=start, end_time=end)
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_run(
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otel.async_post_call_failure_hook(
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request_data=request_data,
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original_exception=Exception("guardrail blocked"),
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user_api_key_dict=user_api_key_dict,
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)
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)
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guardrail_spans = [
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s for s in exporter.get_finished_spans() if s.name == GUARDRAIL_SPAN_NAME
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]
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self.assertEqual(
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len(guardrail_spans),
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1,
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"Dedupe must collapse the two emit calls into one span when the "
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"metadata dict identity is shared between kwargs and request_data",
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)
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class TestGuardrailSpanAttributesOnViolation(unittest.TestCase):
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"""Bug 2: the guardrail span must surface the violation status and
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violation categories as queryable span attributes, not bury them inside
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``guardrail_response`` (which is logged as a single serialised blob)."""
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def _emit_and_get_guardrail_span(self, entry):
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otel, _, exporter = _make_otel()
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kwargs = _kwargs_with_guardrail(entries=[entry])
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otel._create_guardrail_span(kwargs=kwargs, context=None)
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guardrail_spans = [
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s for s in exporter.get_finished_spans() if s.name == GUARDRAIL_SPAN_NAME
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]
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self.assertEqual(len(guardrail_spans), 1)
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return guardrail_spans[0]
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def test_status_attribute_present_for_intervened(self):
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entry = _slg_entry("guardrail_intervened", _bedrock_block_response())
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span = self._emit_and_get_guardrail_span(entry)
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self.assertEqual(
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_attr(span, "guardrail_status"),
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"guardrail_intervened",
|
|
"guardrail_status must be exposed as a top-level span attribute",
|
|
)
|
|
|
|
def test_status_attribute_present_for_success(self):
|
|
entry = _slg_entry(
|
|
"success",
|
|
{"action": "NONE", "assessments": []},
|
|
)
|
|
span = self._emit_and_get_guardrail_span(entry)
|
|
self.assertEqual(_attr(span, "guardrail_status"), "success")
|
|
|
|
def test_status_attribute_present_for_failed_to_respond(self):
|
|
entry = _slg_entry(
|
|
"guardrail_failed_to_respond",
|
|
{"error": "endpoint unreachable"},
|
|
)
|
|
span = self._emit_and_get_guardrail_span(entry)
|
|
self.assertEqual(_attr(span, "guardrail_status"), "guardrail_failed_to_respond")
|
|
|
|
def test_violation_categories_surfaced_when_provider_populates_them(self):
|
|
"""The provider hook (e.g. Bedrock) extracts violation categories
|
|
from the raw response BEFORE redaction and stamps them onto the
|
|
StandardLoggingGuardrailInformation entry. OTEL must surface that
|
|
list as a queryable span attribute so dashboards can group by
|
|
violation type without parsing the redacted guardrail_response."""
|
|
entry = _slg_entry(
|
|
"guardrail_intervened",
|
|
_bedrock_block_response(),
|
|
violation_categories=["Fiduciary Advice", "VIOLENCE", "PROFANITY"],
|
|
)
|
|
span = self._emit_and_get_guardrail_span(entry)
|
|
|
|
categories = _attr(span, "guardrail_violation_categories")
|
|
self.assertIsNotNone(
|
|
categories,
|
|
"guardrail_violation_categories must be set when the entry "
|
|
"carries violation_categories",
|
|
)
|
|
# Serialised as JSON to keep set_attribute typing simple.
|
|
as_str = categories if isinstance(categories, str) else repr(list(categories))
|
|
self.assertIn("Fiduciary Advice", as_str)
|
|
self.assertIn("VIOLENCE", as_str)
|
|
self.assertIn("PROFANITY", as_str)
|
|
|
|
def test_no_violation_categories_when_field_absent(self):
|
|
"""When the provider didn't populate violation_categories (success
|
|
path, or provider didn't extract them), don't pollute the trace
|
|
with an empty attribute."""
|
|
entry = _slg_entry("success", {"action": "NONE", "assessments": []})
|
|
span = self._emit_and_get_guardrail_span(entry)
|
|
self.assertIsNone(_attr(span, "guardrail_violation_categories"))
|
|
|
|
def test_no_violation_categories_when_field_is_empty(self):
|
|
"""Empty list must not produce a span attribute either."""
|
|
entry = _slg_entry(
|
|
"guardrail_intervened",
|
|
_bedrock_block_response(),
|
|
violation_categories=[],
|
|
)
|
|
span = self._emit_and_get_guardrail_span(entry)
|
|
self.assertIsNone(_attr(span, "guardrail_violation_categories"))
|
|
|
|
def test_guardrail_action_surfaced_when_provider_populates_it(self):
|
|
"""The provider hook (e.g. Bedrock) writes its raw top-level
|
|
``action`` string onto StandardLoggingGuardrailInformation as
|
|
``guardrail_action``. OTEL must expose it as a queryable span
|
|
attribute so dashboards can pivot on the raw provider verdict
|
|
(Bedrock ``GUARDRAIL_INTERVENED`` / ``NONE``) without parsing
|
|
the redacted guardrail_response blob."""
|
|
entry = _slg_entry(
|
|
"guardrail_intervened",
|
|
_bedrock_block_response(),
|
|
guardrail_action="GUARDRAIL_INTERVENED",
|
|
)
|
|
span = self._emit_and_get_guardrail_span(entry)
|
|
self.assertEqual(
|
|
_attr(span, "guardrail_action"),
|
|
"GUARDRAIL_INTERVENED",
|
|
"guardrail_action must be exposed as a top-level span attribute",
|
|
)
|
|
|
|
def test_guardrail_action_surfaced_for_allowed_request(self):
|
|
"""Even on the success path, the provider's raw action (e.g.
|
|
Bedrock ``NONE``) should be queryable so dashboards can group
|
|
allowed-vs-blocked counts off the same attribute."""
|
|
entry = _slg_entry(
|
|
"success",
|
|
{"action": "NONE", "assessments": []},
|
|
guardrail_action="NONE",
|
|
)
|
|
span = self._emit_and_get_guardrail_span(entry)
|
|
self.assertEqual(_attr(span, "guardrail_action"), "NONE")
|
|
|
|
def test_no_guardrail_action_when_field_absent(self):
|
|
"""If the provider didn't populate the field (older payloads,
|
|
non-Bedrock providers without a top-level action), don't emit
|
|
an empty attribute."""
|
|
entry = _slg_entry("success", {"action": "NONE", "assessments": []})
|
|
span = self._emit_and_get_guardrail_span(entry)
|
|
self.assertIsNone(_attr(span, "guardrail_action"))
|
|
|
|
|
|
class TestMultipleGuardrailsOneBlocks(unittest.TestCase):
|
|
"""When several guardrails run sequentially and only the last one
|
|
intervenes, every guardrail span must appear with its own status —
|
|
losing the early "allowed" spans would mask which checks ran."""
|
|
|
|
def test_all_guardrail_spans_emitted_with_per_entry_status(self):
|
|
otel, _, exporter = _make_otel()
|
|
|
|
entries = [
|
|
_slg_entry(
|
|
"success",
|
|
{"action": "NONE", "assessments": []},
|
|
name="pii-mask",
|
|
start=1.0,
|
|
end=1.5,
|
|
),
|
|
_slg_entry(
|
|
"success",
|
|
{"action": "NONE", "assessments": []},
|
|
name="prompt-injection",
|
|
start=2.0,
|
|
end=2.2,
|
|
),
|
|
_slg_entry(
|
|
"guardrail_intervened",
|
|
_bedrock_block_response(),
|
|
name="bedrock-policy",
|
|
start=3.0,
|
|
end=3.4,
|
|
),
|
|
]
|
|
kwargs = _kwargs_with_guardrail(
|
|
entries=entries,
|
|
include_exception=True,
|
|
)
|
|
|
|
start = datetime.now(timezone.utc)
|
|
end = start + timedelta(milliseconds=50)
|
|
otel._handle_failure(kwargs, response_obj=None, start_time=start, end_time=end)
|
|
|
|
spans = exporter.get_finished_spans()
|
|
guardrail_spans = sorted(
|
|
(s for s in spans if s.name == GUARDRAIL_SPAN_NAME),
|
|
key=lambda s: (s.attributes or {}).get("guardrail_name", ""),
|
|
)
|
|
self.assertEqual(
|
|
len(guardrail_spans),
|
|
3,
|
|
"Every guardrail invocation must emit a span — even the ones "
|
|
"that allowed the request through before the blocker fired",
|
|
)
|
|
|
|
statuses = {
|
|
_attr(s, "guardrail_name"): _attr(s, "guardrail_status")
|
|
for s in guardrail_spans
|
|
}
|
|
self.assertEqual(statuses["pii-mask"], "success")
|
|
self.assertEqual(statuses["prompt-injection"], "success")
|
|
self.assertEqual(statuses["bedrock-policy"], "guardrail_intervened")
|
|
|
|
|
|
class TestCustomGuardrailEndToEnd(unittest.TestCase):
|
|
"""End-to-end: a real ``CustomGuardrail`` subclass calls
|
|
``add_standard_logging_guardrail_information_to_request_data`` and then
|
|
raises. We then drive ``_handle_failure`` with the resulting kwargs
|
|
(matching the shape ``async_failure_handler`` would build) and verify
|
|
the guardrail span carries the recorded information."""
|
|
|
|
def test_real_custom_guardrail_violation_path(self):
|
|
# Deliberately not importing fastapi here — the real Bedrock guardrail
|
|
# raises HTTPException, but the OTEL span flow is exception-type
|
|
# agnostic. Using a plain Exception keeps this test runnable in
|
|
# SDK-only installs that don't ship fastapi.
|
|
from litellm.integrations.custom_guardrail import CustomGuardrail
|
|
from litellm.types.guardrails import GuardrailEventHooks
|
|
|
|
class BlockingViolation(Exception):
|
|
pass
|
|
|
|
class BlockingGuardrail(CustomGuardrail):
|
|
async def async_pre_call_hook(
|
|
self,
|
|
user_api_key_dict,
|
|
cache,
|
|
data,
|
|
call_type,
|
|
):
|
|
start_ts = time.time()
|
|
self.add_standard_logging_guardrail_information_to_request_data(
|
|
guardrail_provider="bedrock",
|
|
guardrail_json_response=_bedrock_block_response(),
|
|
request_data=data,
|
|
guardrail_status="guardrail_intervened",
|
|
start_time=start_ts,
|
|
end_time=start_ts + 0.01,
|
|
duration=0.01,
|
|
event_type=GuardrailEventHooks.pre_call,
|
|
tracing_detail={
|
|
"violation_categories": ["Fiduciary Advice", "VIOLENCE"]
|
|
},
|
|
)
|
|
raise BlockingViolation("violation")
|
|
|
|
request_data = {
|
|
"model": "gpt-4",
|
|
"messages": [{"role": "user", "content": "Hi"}],
|
|
"metadata": {},
|
|
}
|
|
guardrail = BlockingGuardrail(
|
|
guardrail_name="blocking-test",
|
|
event_hook=GuardrailEventHooks.pre_call,
|
|
)
|
|
|
|
with self.assertRaises(BlockingViolation):
|
|
_run(
|
|
guardrail.async_pre_call_hook(
|
|
user_api_key_dict=UserAPIKeyAuth(api_key="sk-test"),
|
|
cache=None,
|
|
data=request_data,
|
|
call_type="completion",
|
|
)
|
|
)
|
|
|
|
slg_info = request_data["metadata"].get(
|
|
"standard_logging_guardrail_information"
|
|
)
|
|
self.assertTrue(
|
|
slg_info,
|
|
"Guardrail must have recorded its information to request_data "
|
|
"BEFORE raising — otherwise the OTEL hook sees nothing",
|
|
)
|
|
|
|
# Now simulate the OTEL failure handler picking up this metadata
|
|
otel, _, exporter = _make_otel()
|
|
kwargs = _kwargs_with_guardrail(
|
|
entries=slg_info,
|
|
include_exception=True,
|
|
)
|
|
start = datetime.now(timezone.utc)
|
|
end = start + timedelta(milliseconds=15)
|
|
otel._handle_failure(kwargs, response_obj=None, start_time=start, end_time=end)
|
|
|
|
spans = exporter.get_finished_spans()
|
|
guardrail_spans = [s for s in spans if s.name == GUARDRAIL_SPAN_NAME]
|
|
self.assertEqual(len(guardrail_spans), 1)
|
|
self.assertEqual(
|
|
_attr(guardrail_spans[0], "guardrail_status"),
|
|
"guardrail_intervened",
|
|
)
|
|
self.assertEqual(
|
|
_attr(guardrail_spans[0], "guardrail_name"),
|
|
"blocking-test",
|
|
)
|
|
# End-to-end: the violation_categories the guardrail passed through
|
|
# tracing_detail must arrive as a queryable span attribute.
|
|
categories = _attr(guardrail_spans[0], "guardrail_violation_categories")
|
|
self.assertIsNotNone(categories)
|
|
self.assertIn("Fiduciary Advice", str(categories))
|
|
self.assertIn("VIOLENCE", str(categories))
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|