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feat: fine grained access control policy (#2264)

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This allows a set of rules to be defined for determining access to
resources. The rules are (loosely) based on the cedar policy format.

A rule defines a list of action either to permit or to forbid. It may
specify a principal or a resource that must match for the rule to take
effect. It may also specify a condition, either a 'when' or an 'unless',
with additional constraints as to where the rule applies.

A list of rules is held for each type to be protected and tried in order
to find a match. If a match is found, the request is permitted or
forbidden depening on the type of rule. If no match is found, the
request is denied. If no rules are specified for a given type, a rule
that allows any action as long as the resource attributes match the user
attributes is added (i.e. the previous behaviour is the default.

Some examples in yaml:

```
    model:
    - permit:
      principal: user-1
      actions: [create, read, delete]
      comment: user-1 has full access to all models
    - permit:
      principal: user-2
      actions: [read]
      resource: model-1
      comment: user-2 has read access to model-1 only
    - permit:
      actions: [read]
      when:
        user_in: resource.namespaces
      comment: any user has read access to models with matching attributes
    vector_db:
    - forbid:
      actions: [create, read, delete]
      unless:
        user_in: role::admin
      comment: only user with admin role can use vector_db resources
```

---------

Signed-off-by: Gordon Sim <gsim@redhat.com>
This commit is contained in:
grs 2025-06-03 17:51:12 -04:00 • committed by GitHub
parent 8bee2954be
commit 7c1998db25
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32 changed files with 956 additions and 450 deletions
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9
llama_stack/distribution/server/server.py
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@ -33,10 +33,7 @@ from pydantic import BaseModel, ValidationError
from llama_stack.distribution.datatypes import AuthenticationRequiredError, LoggingConfig, StackRunConfig
from llama_stack.distribution.distribution import builtin_automatically_routed_apis
from llama_stack.distribution.request_headers import (
PROVIDER_DATA_VAR,
request_provider_data_context,
)
from llama_stack.distribution.request_headers import PROVIDER_DATA_VAR, User, request_provider_data_context
from llama_stack.distribution.resolver import InvalidProviderError
from llama_stack.distribution.server.routes import (
find_matching_route,
@ -217,11 +214,13 @@ def create_dynamic_typed_route(func: Any, method: str, route: str) -> Callable:
async def route_handler(request: Request, **kwargs):
# Get auth attributes from the request scope
user_attributes = request.scope.get("user_attributes", {})
principal = request.scope.get("principal", "")
user = User(principal, user_attributes)
await log_request_pre_validation(request)
# Use context manager with both provider data and auth attributes
with request_provider_data_context(request.headers, user_attributes):
with request_provider_data_context(request.headers, user):
is_streaming = is_streaming_request(func.__name__, request, **kwargs)
try: