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https://github.com/BerriAI/litellm.git
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fix(responses): preserve provider affinity
Co-authored-by: Bytechoreographer <Bytechoreographer@users.noreply.github.com>
This commit is contained in:
parent
1af7a403c6
commit
d5cf5640b0
2 changed files with 162 additions and 4 deletions
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@ -37,6 +37,7 @@ Safe to enable globally:
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"""
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import time
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from collections.abc import Mapping
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from typing import TYPE_CHECKING, Final, Optional, Protocol, cast
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import httpx
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@ -48,6 +49,7 @@ from litellm.exceptions import (
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ServiceUnavailableError,
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)
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from litellm.integrations.custom_logger import CustomLogger, Span
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from litellm.litellm_core_utils.credential_accessor import CredentialAccessor
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from litellm.responses.utils import ResponsesAPIRequestUtils
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from litellm.router_utils.cooldown_cache import CooldownCacheValue
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from litellm.types.llms.openai import AllMessageValues
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@ -161,11 +163,13 @@ class EncryptedContentAffinityCheck(CustomLogger):
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@staticmethod
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def _encryption_boundary_key(
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litellm_params: object,
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) -> tuple | None:
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) -> tuple[object, object] | None:
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"""
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``(api_base, api_key)`` pair identifying an Azure resource. Two
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deployments sharing both are interchangeable for ``encrypted_content``
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follow-ups; Azure rejects content produced by any other resource.
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Missing values are resolved from ``litellm_credential_name`` without
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modifying the deployment, and explicit deployment values take precedence.
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Accepts any object exposing dict-style ``.get(key, default)``: plain
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dicts (the common case in ``healthy_deployments``) as well as
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@ -180,9 +184,29 @@ class EncryptedContentAffinityCheck(CustomLogger):
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return None
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api_base: Final = getter("api_base")
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api_key: Final = getter("api_key")
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if not api_base or not api_key:
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credential_name: Final = getter("litellm_credential_name")
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credential_values: Final[Mapping[str, object] | None] = (
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CredentialAccessor.get_credential_values(credential_name)
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if isinstance(credential_name, str) and credential_name and (api_base is None or api_key is None)
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else None
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)
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effective_api_base: Final = (
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api_base
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if api_base is not None
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else credential_values.get("api_base")
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if credential_values is not None
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else None
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)
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effective_api_key: Final = (
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api_key
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if api_key is not None
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else credential_values.get("api_key")
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if credential_values is not None
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else None
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)
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if not effective_api_base or not effective_api_key:
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return None
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return (api_base, api_key)
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return (effective_api_base, effective_api_key)
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def _find_deployments_on_same_encryption_boundary(
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self,
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@ -21,8 +21,8 @@ from unittest.mock import AsyncMock, patch
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import pytest
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import litellm
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from litellm.models.credentials import CredentialItem
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from litellm.responses.utils import ResponsesAPIRequestUtils
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from litellm.types.llms.openai import ResponsesAPIResponse
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@ -1148,6 +1148,140 @@ def test_boundary_key_accepts_pydantic_litellm_params_instance():
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)
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def test_boundary_key_resolves_missing_values_from_named_credential():
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from litellm.router_utils.pre_call_checks.encrypted_content_affinity_check import (
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EncryptedContentAffinityCheck,
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)
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with (
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patch.object( # test-quality-ok: credential registry is the direct dependency under test
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litellm,
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"credential_list",
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[
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CredentialItem(
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credential_name="account-a",
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credential_values={
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"api_base": "https://account-a.example.com",
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"api_key": "credential-key-a",
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},
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credential_info={},
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)
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],
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)
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):
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boundary = EncryptedContentAffinityCheck._encryption_boundary_key({"litellm_credential_name": "account-a"})
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assert boundary == ("https://account-a.example.com", "credential-key-a")
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def test_boundary_key_prefers_explicit_values_over_named_credential():
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from litellm.router_utils.pre_call_checks.encrypted_content_affinity_check import (
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EncryptedContentAffinityCheck,
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)
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with (
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patch.object( # test-quality-ok: credential registry is the direct dependency under test
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litellm,
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"credential_list",
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[
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CredentialItem(
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credential_name="account-a",
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credential_values={
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"api_base": "https://credential.example.com",
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"api_key": "credential-key-a",
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},
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credential_info={},
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)
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],
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)
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):
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boundary = EncryptedContentAffinityCheck._encryption_boundary_key(
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{
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"api_base": "https://deployment.example.com",
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"litellm_credential_name": "account-a",
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}
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)
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assert boundary == ("https://deployment.example.com", "credential-key-a")
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def test_boundary_fallback_matches_deployments_with_same_named_credential_values():
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from litellm.router_utils.pre_call_checks.encrypted_content_affinity_check import (
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EncryptedContentAffinityCheck,
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)
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with (
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patch.object( # test-quality-ok: credential registry is the direct dependency under test
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litellm,
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"credential_list",
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[
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CredentialItem(
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credential_name="account-a",
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credential_values={
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"api_base": "https://account-a.example.com",
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"api_key": "credential-key-a",
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},
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credential_info={},
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),
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CredentialItem(
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credential_name="account-a-peer",
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credential_values={
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"api_base": "https://account-a.example.com",
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"api_key": "credential-key-a",
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},
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credential_info={},
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),
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CredentialItem(
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credential_name="account-b",
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credential_values={
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"api_base": "https://account-b.example.com",
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"api_key": "credential-key-b",
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},
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credential_info={},
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),
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],
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)
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):
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router = litellm.Router(
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model_list=[
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{
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"model_name": "gpt-5.3-codex",
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"litellm_params": {
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"model": "azure/gpt-5.3-codex",
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"litellm_credential_name": "account-a",
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},
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"model_info": {"id": "origin"},
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}
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],
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num_retries=0,
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)
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check = EncryptedContentAffinityCheck(router=router)
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healthy_deployments = [
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{
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"model_info": {"id": "peer-same-boundary"},
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"litellm_params": {
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"model": "azure/gpt-5.4",
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"litellm_credential_name": "account-a-peer",
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},
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},
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{
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"model_info": {"id": "peer-different-boundary"},
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"litellm_params": {
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"model": "azure/gpt-5.4",
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"litellm_credential_name": "account-b",
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},
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},
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]
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matches, originating = check._find_deployments_on_same_encryption_boundary(
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healthy_deployments=healthy_deployments,
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model_id="origin",
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)
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assert originating is not None
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assert [deployment["model_info"]["id"] for deployment in matches] == ["peer-same-boundary"]
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def test_boundary_key_rejects_non_dict_like_inputs():
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"""
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Inputs that don't expose ``.get()`` (None, lists, strings, ints) -> None.
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