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 Delete eight tests the audit found superseded by stronger ones kept in this move.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>
357 lines
14 KiB
Python
357 lines
14 KiB
Python
"""
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Tests for team-scoped Datadog callback support.
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Verifies that DataDogLogger can be instantiated with per-team credentials
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(dd_api_key, dd_site) instead of relying solely on environment variables,
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and that the DataDogHandler correctly resolves and caches per-team loggers.
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"""
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import copy
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from unittest.mock import patch
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import pytest
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from litellm.integrations.datadog.datadog import DataDogLogger
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from litellm.integrations.datadog.datadog_team_handler import (
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DataDogHandler,
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)
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from litellm.litellm_core_utils.initialize_dynamic_callback_params import (
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TRUSTED_CALLBACK_VARS_FIELD,
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)
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from litellm.litellm_core_utils.specialty_caches.dynamic_logging_cache import (
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DynamicLoggingCache,
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)
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from litellm.types.utils import StandardCallbackDynamicParams
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@pytest.fixture
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def datadog_env(monkeypatch):
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"""Set global DD env vars for the default/global logger."""
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monkeypatch.setenv("DD_API_KEY", "global_api_key")
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monkeypatch.setenv("DD_SITE", "us1.datadoghq.com")
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class TestDataDogLoggerCredentialKwargs:
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"""Test that DataDogLogger accepts credentials as kwargs."""
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def test_init_with_explicit_credentials(self):
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"""Logger should use explicit kwargs instead of env vars."""
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with patch("asyncio.create_task"):
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logger = DataDogLogger(
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dd_api_key="team_api_key",
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dd_site="eu1.datadoghq.com",
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)
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assert logger.DD_API_KEY == "team_api_key"
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assert "eu1.datadoghq.com" in logger.intake_url
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def test_init_falls_back_to_env_vars(self, datadog_env):
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"""Logger should fall back to env vars when no kwargs provided."""
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with patch("asyncio.create_task"):
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logger = DataDogLogger()
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assert logger.DD_API_KEY == "global_api_key"
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assert "us1.datadoghq.com" in logger.intake_url
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def test_init_kwargs_override_env_vars(self, datadog_env):
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"""Explicit kwargs should take precedence over env vars."""
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with patch("asyncio.create_task"):
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logger = DataDogLogger(
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dd_api_key="override_key",
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dd_site="ap1.datadoghq.com",
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)
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assert logger.DD_API_KEY == "override_key"
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assert "ap1.datadoghq.com" in logger.intake_url
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def test_init_with_agent_credentials(self):
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"""Logger should use agent mode when dd_agent_host is provided."""
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with patch("asyncio.create_task"):
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logger = DataDogLogger(
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dd_agent_host="dd-agent.local",
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dd_agent_port="8125",
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dd_api_key="agent_api_key",
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)
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assert "dd-agent.local:8125" in logger.intake_url
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assert logger.DD_API_KEY == "agent_api_key"
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def test_init_raises_without_credentials(self, monkeypatch):
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"""Logger should raise if no credentials are available."""
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monkeypatch.delenv("DD_API_KEY", raising=False)
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monkeypatch.delenv("DD_SITE", raising=False)
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monkeypatch.delenv("LITELLM_DD_AGENT_HOST", raising=False)
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with pytest.raises(Exception, match="DD_API_KEY"):
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with patch("asyncio.create_task"):
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DataDogLogger()
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def test_agent_mode_does_not_leak_env_api_key_when_disallowed(self, datadog_env):
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"""With allow_env_credentials=False, the agent logger must not pick up DD_API_KEY env var."""
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with patch("asyncio.create_task"):
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logger = DataDogLogger(
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dd_agent_host="attacker.example.com",
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allow_env_credentials=False,
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)
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assert logger.DD_API_KEY is None
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assert "attacker.example.com" in logger.intake_url
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def test_direct_api_mode_does_not_leak_env_api_key_when_disallowed(self, datadog_env):
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"""With allow_env_credentials=False and no explicit key, init must fail rather than reuse env key."""
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with pytest.raises(Exception, match="DD_API_KEY"):
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with patch("asyncio.create_task"):
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DataDogLogger(
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dd_site="attacker.example.com",
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allow_env_credentials=False,
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)
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class TestDataDogHandler:
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"""Test that DataDogHandler resolves the correct logger per team."""
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def test_creates_team_logger_with_dynamic_credentials(self, datadog_env):
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"""Should create a new logger when team credentials are provided."""
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cache = DynamicLoggingCache()
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params = StandardCallbackDynamicParams(
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dd_api_key="team_a_key",
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dd_site="eu1.datadoghq.com",
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)
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with patch("asyncio.create_task"):
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result = DataDogHandler.get_datadog_logger_for_request(
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standard_callback_dynamic_params=params,
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in_memory_dynamic_logger_cache=cache,
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)
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assert result.DD_API_KEY == "team_a_key"
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assert "eu1.datadoghq.com" in result.intake_url
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def test_caches_team_logger(self, datadog_env):
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"""Same team credentials should return the same cached logger instance."""
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cache = DynamicLoggingCache()
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params = StandardCallbackDynamicParams(
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dd_api_key="team_b_key",
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dd_site="us5.datadoghq.com",
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)
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with patch("asyncio.create_task"):
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result1 = DataDogHandler.get_datadog_logger_for_request(
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standard_callback_dynamic_params=params,
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in_memory_dynamic_logger_cache=cache,
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)
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result2 = DataDogHandler.get_datadog_logger_for_request(
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standard_callback_dynamic_params=params,
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in_memory_dynamic_logger_cache=cache,
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)
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assert result1 is result2
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def test_different_teams_get_different_loggers(self, datadog_env):
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"""Different team credentials should create separate logger instances."""
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cache = DynamicLoggingCache()
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params_a = StandardCallbackDynamicParams(
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dd_api_key="team_a_key",
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dd_site="us1.datadoghq.com",
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)
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params_b = StandardCallbackDynamicParams(
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dd_api_key="team_b_key",
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dd_site="eu1.datadoghq.com",
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)
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with patch("asyncio.create_task"):
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result_a = DataDogHandler.get_datadog_logger_for_request(
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standard_callback_dynamic_params=params_a,
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in_memory_dynamic_logger_cache=cache,
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)
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result_b = DataDogHandler.get_datadog_logger_for_request(
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standard_callback_dynamic_params=params_b,
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in_memory_dynamic_logger_cache=cache,
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)
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assert result_a is not result_b
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assert result_a.DD_API_KEY == "team_a_key"
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assert result_b.DD_API_KEY == "team_b_key"
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def test_partial_agent_config_does_not_leak_env_api_key(self, datadog_env):
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"""A team-supplied dd_agent_host without dd_api_key must not exfiltrate the proxy DD_API_KEY."""
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cache = DynamicLoggingCache()
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params = StandardCallbackDynamicParams(
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dd_agent_host="attacker.example.com",
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)
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with patch("asyncio.create_task"):
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result = DataDogHandler.get_datadog_logger_for_request(
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standard_callback_dynamic_params=params,
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in_memory_dynamic_logger_cache=cache,
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)
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assert result.DD_API_KEY is None
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assert "attacker.example.com" in result.intake_url
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def test_partial_site_config_does_not_leak_env_api_key(self, datadog_env):
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"""A team-supplied dd_site without dd_api_key must not exfiltrate the proxy DD_API_KEY."""
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cache = DynamicLoggingCache()
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params = StandardCallbackDynamicParams(
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dd_site="attacker.example.com",
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)
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with pytest.raises(Exception, match="DD_API_KEY"):
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with patch("asyncio.create_task"):
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DataDogHandler.get_datadog_logger_for_request(
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standard_callback_dynamic_params=params,
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in_memory_dynamic_logger_cache=cache,
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)
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def test_full_team_config_still_uses_supplied_key(self, datadog_env):
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"""When a team supplies its own key alongside a custom site, that key (not the env key) is used."""
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cache = DynamicLoggingCache()
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params = StandardCallbackDynamicParams(
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dd_api_key="team_key",
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dd_site="eu1.datadoghq.com",
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)
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with patch("asyncio.create_task"):
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result = DataDogHandler.get_datadog_logger_for_request(
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standard_callback_dynamic_params=params,
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in_memory_dynamic_logger_cache=cache,
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)
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assert result.DD_API_KEY == "team_key"
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assert "eu1.datadoghq.com" in result.intake_url
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def test_request_blocked_callback_params_includes_dd(self):
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"""DD params should be blocked from request-level metadata (security)."""
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from litellm.litellm_core_utils.initialize_dynamic_callback_params import (
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_request_blocked_callback_params,
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)
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assert "dd_api_key" in _request_blocked_callback_params
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assert "dd_site" in _request_blocked_callback_params
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assert "dd_agent_host" in _request_blocked_callback_params
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assert "dd_agent_port" in _request_blocked_callback_params
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class TestDynamicCredentialDetection:
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"""Test that _dynamic_datadog_credentials_are_passed works correctly."""
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def test_no_credentials(self):
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params = StandardCallbackDynamicParams()
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assert DataDogHandler._dynamic_datadog_credentials_are_passed(params) is False
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def test_dd_api_key_only(self):
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params = StandardCallbackDynamicParams(dd_api_key="key")
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assert DataDogHandler._dynamic_datadog_credentials_are_passed(params) is True
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def test_dd_site_only(self):
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params = StandardCallbackDynamicParams(dd_site="site")
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assert DataDogHandler._dynamic_datadog_credentials_are_passed(params) is True
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def test_dd_agent_host_only(self):
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params = StandardCallbackDynamicParams(dd_agent_host="host")
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assert DataDogHandler._dynamic_datadog_credentials_are_passed(params) is True
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class TestStandardCallbackDynamicParamsIncludesDatadog:
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"""Verify that Datadog params are in the allow-list."""
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def test_dd_params_in_annotations(self):
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annotations = StandardCallbackDynamicParams.__annotations__
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assert "dd_api_key" in annotations
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assert "dd_site" in annotations
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assert "dd_agent_host" in annotations
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assert "dd_agent_port" in annotations
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def _build_logging_obj(kwargs: dict, *, with_datadog_callback: bool = True):
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from litellm.litellm_core_utils.litellm_logging import Logging
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with patch("asyncio.create_task"):
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return Logging(
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model="gpt-4",
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messages=[{"role": "user", "content": "hi"}],
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stream=False,
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call_type="completion",
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start_time="2026-01-01",
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litellm_call_id="test-call-id",
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function_id="test-func",
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dynamic_success_callbacks=["datadog"] if with_datadog_callback else None,
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kwargs=kwargs,
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)
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def _dd_loggers(logging_obj) -> list[DataDogLogger]:
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return [cb for cb in (logging_obj.dynamic_success_callbacks or []) if isinstance(cb, DataDogLogger)]
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class TestTeamCallbackFlowPassesDDCredentials:
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"""
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dd_* credentials reach DataDogHandler only from the proxy-stamped trusted field.
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Team callback_vars are admin-configured, so they must survive
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_request_blocked_callback_params; anything the caller put in the request body
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must not, or a caller could pair its own dd_site with the team's dd_api_key.
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"""
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def test_trusted_callback_vars_reach_datadog_handler(self, datadog_env):
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trusted_vars = {"dd_api_key": "team-dd-key-123", "dd_site": "us5.datadoghq.com"}
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logging_obj = _build_logging_obj(
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{
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TRUSTED_CALLBACK_VARS_FIELD: trusted_vars,
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"model": "gpt-4",
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"litellm_params": {"metadata": {}},
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}
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)
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dd_loggers = _dd_loggers(logging_obj)
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assert len(dd_loggers) == 1, "DataDogLogger should be initialized from team callback_vars"
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assert dd_loggers[0].DD_API_KEY == "team-dd-key-123"
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assert "us5.datadoghq.com" in dd_loggers[0].intake_url
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def test_request_kwargs_dd_params_are_ignored(self, datadog_env):
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"""Top-level dd_* in the call kwargs are caller-controlled and must never be honoured."""
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logging_obj = _build_logging_obj(
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{
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"dd_api_key": "caller-dd-key",
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"dd_site": "attacker.example.com",
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"dd_agent_host": "attacker.example.com",
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"model": "gpt-4",
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"litellm_params": {"metadata": {}},
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}
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)
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dd_loggers = _dd_loggers(logging_obj)
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assert len(dd_loggers) == 1
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assert dd_loggers[0].DD_API_KEY == "global_api_key"
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assert "attacker.example.com" not in dd_loggers[0].intake_url
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assert "us1.datadoghq.com" in dd_loggers[0].intake_url
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def test_logging_object_stays_deepcopyable(self):
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"""The proxy deep-copies request data, and the Logging object rides along in it."""
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logging_obj = _build_logging_obj(
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{
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TRUSTED_CALLBACK_VARS_FIELD: {"dd_api_key": "team-dd-key-123", "dd_site": "us5.datadoghq.com"},
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"model": "gpt-4",
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"litellm_params": {"metadata": {}},
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},
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with_datadog_callback=False,
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)
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assert copy.deepcopy(logging_obj)._trusted_callback_vars == logging_obj._trusted_callback_vars
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def test_caller_cannot_redirect_team_credentials(self, datadog_env):
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"""The exfil shape: caller's dd_site paired with the team's dd_api_key."""
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logging_obj = _build_logging_obj(
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{
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TRUSTED_CALLBACK_VARS_FIELD: {"dd_api_key": "team-dd-key-123"},
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"dd_site": "attacker.example.com",
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"model": "gpt-4",
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"litellm_params": {"metadata": {}},
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}
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)
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dd_loggers = _dd_loggers(logging_obj)
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assert len(dd_loggers) == 1
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assert dd_loggers[0].DD_API_KEY == "team-dd-key-123"
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assert "attacker.example.com" not in dd_loggers[0].intake_url
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