feat: fine grained access control policy

This allows a set of rules to be defined for determining access to resources.

Signed-off-by: Gordon Sim <gsim@redhat.com>
This commit is contained in:
Gordon Sim 2025-05-06 18:54:58 +01:00
parent 9623d5d230
commit 01ad876012
20 changed files with 724 additions and 214 deletions

View file

@ -40,6 +40,7 @@ from llama_stack.apis.inference import (
from llama_stack.apis.safety import Safety
from llama_stack.apis.tools import ToolGroups, ToolRuntime
from llama_stack.apis.vector_io import VectorIO
from llama_stack.distribution.datatypes import AccessRule
from llama_stack.providers.utils.kvstore import InmemoryKVStoreImpl, kvstore_impl
from llama_stack.providers.utils.pagination import paginate_records
from llama_stack.providers.utils.responses.responses_store import ResponsesStore
@ -61,6 +62,7 @@ class MetaReferenceAgentsImpl(Agents):
safety_api: Safety,
tool_runtime_api: ToolRuntime,
tool_groups_api: ToolGroups,
policy: list[AccessRule],
):
self.config = config
self.inference_api = inference_api
@ -71,6 +73,7 @@ class MetaReferenceAgentsImpl(Agents):
self.in_memory_store = InmemoryKVStoreImpl()
self.openai_responses_impl: OpenAIResponsesImpl | None = None
self.policy = policy
async def initialize(self) -> None:
self.persistence_store = await kvstore_impl(self.config.persistence_store)
@ -129,6 +132,7 @@ class MetaReferenceAgentsImpl(Agents):
self.persistence_store if agent_info.enable_session_persistence else self.in_memory_store
),
created_at=agent_info.created_at,
policy=self.policy,
)
async def create_agent_session(