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Dmitry Maranik 2026-09-07 21:08:23 +00:00 committed by GitHub
commit 0fd26c5af7
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2 changed files with 135 additions and 0 deletions

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@ -63,6 +63,7 @@ class Cache:
port: Optional[str] = None,
password: Optional[str] = None,
namespace: Optional[str] = None,
add_team_id_to_cache_key: bool = False,
ttl: Optional[float] = None,
default_in_memory_ttl: Optional[float] = None,
default_in_redis_ttl: Optional[float] = None,
@ -257,6 +258,7 @@ class Cache:
self.supported_call_types = supported_call_types # default to ["completion", "acompletion", "embedding", "aembedding"]
self.type = type
self.namespace = namespace
self.add_team_id_to_cache_key = add_team_id_to_cache_key
self.redis_flush_size = redis_flush_size
self.ttl = ttl
self.mode: CacheMode = mode or CacheMode.default_on
@ -309,6 +311,8 @@ class Cache:
param_value = kwargs[param]
cache_key += f"{str(param)}: {str(param_value)}"
cache_key += self._get_team_scope_for_cache_key(**kwargs)
verbose_logger.debug("\nCreated cache key: %s", cache_key)
hashed_cache_key = Cache._get_hashed_cache_key(cache_key)
hashed_cache_key = self._add_namespace_to_cache_key(hashed_cache_key, **kwargs)
@ -420,6 +424,44 @@ class Cache:
verbose_logger.debug("Hashed cache key (SHA-256): %s", hash_hex)
return hash_hex
def _get_team_scope_for_cache_key(self, **kwargs) -> str:
"""Optionally scope the cache key by the requesting tenant.
On a multi-tenant proxy the cache key is otherwise derived only from the
request parameters, so two different teams (tenants) sending the same
request share cache entries - one team can be served another's cached
response. When ``add_team_id_to_cache_key`` is enabled (via
``cache_params``), the authenticated team id is folded into the cache key
so entries are not reused across teams; same-team requests still share the
cache. A request whose key has no team falls back to the (hashed) virtual
key, so it is still isolated rather than silently sharing the global entry.
Opt-in - the default preserves the existing behavior.
Security: the scope is read only from ``litellm_params["metadata"]``, which
the proxy populates from the authenticated key in
``litellm.proxy.litellm_pre_call_utils`` - it strips any client-supplied
``user_api_key_*`` fields from the request-body metadata before writing the
authenticated values, so the team/key used here cannot be forged by the
caller. The authenticated ``user_api_key_auth`` object is preferred. Direct
SDK calls (no proxy metadata) fall through to "" and keep today's behavior.
"""
if not self.add_team_id_to_cache_key:
return ""
litellm_params = kwargs.get("litellm_params") or {}
metadata = litellm_params.get("metadata") or {}
user_api_key_auth = metadata.get("user_api_key_auth")
team_id = getattr(user_api_key_auth, "team_id", None) or metadata.get(
"user_api_key_team_id"
)
if team_id:
return f"user_api_key_team_id: {team_id}"
api_key = getattr(user_api_key_auth, "api_key", None) or metadata.get(
"user_api_key"
)
if api_key:
return f"user_api_key: {api_key}"
return ""
def _add_namespace_to_cache_key(self, hash_hex: str, **kwargs) -> str:
"""
If a redis namespace is provided, add it to the cache key

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@ -0,0 +1,93 @@
"""Tests for the opt-in team-scoped cache key (Cache.add_team_id_to_cache_key).
On a multi-tenant proxy the response-cache key is otherwise derived only from the
request params, so two teams sending the same request share cache entries - one
team can be served another's cached response. With add_team_id_to_cache_key=True
the authenticated team id (or, with no team, the hashed virtual key) is folded
into the cache key so entries are not reused across tenants; same-team requests
still share the cache. The flag defaults to False, preserving existing behavior.
The scope is read only from the proxy-trusted litellm_params["metadata"] (which
the proxy populates from the authenticated key and strips of any client-supplied
user_api_key_* fields), never from the caller-supplied top-level metadata, so a
client cannot forge the team/key used for scoping.
"""
from litellm.caching.caching import Cache
def _key_for_team(cache: Cache, team_id: str) -> str:
return cache.get_cache_key(
model="gpt-3.5-turbo",
messages=[{"role": "user", "content": "hello"}],
litellm_params={"metadata": {"user_api_key_team_id": team_id}},
)
def test_team_scoped_cache_key_isolates_teams():
cache = Cache(add_team_id_to_cache_key=True)
assert _key_for_team(cache, "team-a") != _key_for_team(
cache, "team-b"
) # different teams -> different keys
assert _key_for_team(cache, "team-a") == _key_for_team(
cache, "team-a"
) # same team -> same key
def test_cache_key_shared_across_teams_by_default():
cache = Cache() # flag defaults to False -> existing behavior preserved
assert _key_for_team(cache, "team-a") == _key_for_team(
cache, "team-b"
) # team ignored -> shared key
def test_team_scoped_cache_key_falls_back_to_api_key_when_no_team():
cache = Cache(add_team_id_to_cache_key=True)
def key_for(api_key: str) -> str:
return cache.get_cache_key(
model="gpt-3.5-turbo",
messages=[{"role": "user", "content": "hello"}],
litellm_params={"metadata": {"user_api_key": api_key}},
)
# no team -> fall back to the hashed virtual key, so callers stay isolated
assert key_for("hashed-key-1") != key_for("hashed-key-2")
def test_team_scope_ignores_caller_supplied_top_level_metadata():
# Security: the scope must come only from the proxy-trusted litellm_params
# metadata, never from caller-supplied top-level metadata. A client must not
# be able to forge a team by putting user_api_key_team_id in the request body.
cache = Cache(add_team_id_to_cache_key=True)
base = cache.get_cache_key(
model="gpt-3.5-turbo",
messages=[{"role": "user", "content": "hello"}],
)
forged = cache.get_cache_key(
model="gpt-3.5-turbo",
messages=[{"role": "user", "content": "hello"}],
metadata={"user_api_key_team_id": "victim-team"},
)
assert base == forged # caller-supplied team is ignored -> no cross-tenant forge
def test_team_scope_reads_authenticated_user_api_key_auth_object():
# The proxy attaches the authenticated UserAPIKeyAuth as
# litellm_params["metadata"]["user_api_key_auth"]; its team_id is the
# un-forgeable source and takes precedence over the flat field.
cache = Cache(add_team_id_to_cache_key=True)
class _Auth:
def __init__(self, team_id: str) -> None:
self.team_id = team_id
self.api_key = "hashed-key"
def key_for(team_id: str) -> str:
return cache.get_cache_key(
model="gpt-3.5-turbo",
messages=[{"role": "user", "content": "hello"}],
litellm_params={"metadata": {"user_api_key_auth": _Auth(team_id)}},
)
assert key_for("team-a") != key_for("team-b")