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chore(api): add mypy coverage to meta_reference_agents

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Signed-off-by: Mustafa Elbehery <melbeher@redhat.com>
This commit is contained in:
Mustafa Elbehery 2025-07-08 22:20:26 +02:00
parent cd0ad21111
commit 06a5144695
2 changed files with 25 additions and 11 deletions
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34
llama_stack/providers/inline/agents/meta_reference/agents.py
View file

@ -6,7 +6,7 @@
import logging
import uuid
from collections.abc import AsyncGenerator
from collections.abc import AsyncGenerator, AsyncIterator
from datetime import UTC, datetime
from llama_stack.apis.agents import (
@ -22,9 +22,11 @@ from llama_stack.apis.agents import (
Document,
ListOpenAIResponseInputItem,
ListOpenAIResponseObject,
OpenAIDeleteResponseObject,
OpenAIResponseInput,
OpenAIResponseInputTool,
OpenAIResponseObject,
OpenAIResponseObjectStream,
Order,
Session,
Turn,
@ -133,7 +135,7 @@ class MetaReferenceAgentsImpl(Agents):
persistence_store=(
self.persistence_store if agent_info.enable_session_persistence else self.in_memory_store
),
created_at=agent_info.created_at,
created_at=agent_info.created_at.isoformat(),
policy=self.policy,
)
@ -154,9 +156,9 @@ class MetaReferenceAgentsImpl(Agents):
agent_id: str,
session_id: str,
messages: list[UserMessage | ToolResponseMessage],
toolgroups: list[AgentToolGroup] | None = None,
documents: list[Document] | None = None,
stream: bool | None = False,
documents: list[Document] | None = None,
toolgroups: list[AgentToolGroup] | None = None,
tool_config: ToolConfig | None = None,
) -> AsyncGenerator:
request = AgentTurnCreateRequest(
@ -212,6 +214,8 @@ class MetaReferenceAgentsImpl(Agents):
async def get_agents_turn(self, agent_id: str, session_id: str, turn_id: str) -> Turn:
agent = await self._get_agent_impl(agent_id)
turn = await agent.storage.get_session_turn(session_id, turn_id)
if turn is None:
raise ValueError(f"Turn {turn_id} not found in session {session_id}")
return turn
async def get_agents_step(self, agent_id: str, session_id: str, turn_id: str, step_id: str) -> AgentStepResponse:
@ -223,8 +227,8 @@ class MetaReferenceAgentsImpl(Agents):
async def get_agents_session(
self,
agent_id: str,
session_id: str,
agent_id: str,
turn_ids: list[str] | None = None,
) -> Session:
agent = await self._get_agent_impl(agent_id)
@ -242,7 +246,7 @@ class MetaReferenceAgentsImpl(Agents):
started_at=session_info.started_at,
)
async def delete_agents_session(self, agent_id: str, session_id: str) -> None:
async def delete_agents_session(self, session_id: str, agent_id: str) -> None:
agent = await self._get_agent_impl(agent_id)
session_info = await agent.storage.get_session_info(session_id)
if session_info is None:
@ -259,7 +263,7 @@ class MetaReferenceAgentsImpl(Agents):
# Delete all sessions
for session in sessions:
await self.delete_agents_session(agent_id, session.session_id)
await self.delete_agents_session(session.session_id, agent_id)
# Finally delete the agent itself
await self.persistence_store.delete(f"agent:{agent_id}")
@ -298,7 +302,7 @@ class MetaReferenceAgentsImpl(Agents):
agent = Agent(
agent_id=agent_id,
agent_config=chat_agent.agent_config,
created_at=chat_agent.created_at,
created_at=datetime.fromisoformat(chat_agent.created_at),
)
return agent
@ -319,6 +323,8 @@ class MetaReferenceAgentsImpl(Agents):
self,
response_id: str,
) -> OpenAIResponseObject:
if self.openai_responses_impl is None:
raise RuntimeError("OpenAI responses implementation not initialized")
return await self.openai_responses_impl.get_openai_response(response_id)
async def create_openai_response(
@ -333,7 +339,9 @@ class MetaReferenceAgentsImpl(Agents):
text: OpenAIResponseText | None = None,
tools: list[OpenAIResponseInputTool] | None = None,
max_infer_iters: int | None = 10,
) -> OpenAIResponseObject:
) -> OpenAIResponseObject | AsyncIterator[OpenAIResponseObjectStream]:
if self.openai_responses_impl is None:
raise RuntimeError("OpenAI responses implementation not initialized")
return await self.openai_responses_impl.create_openai_response(
input, model, instructions, previous_response_id, store, stream, temperature, text, tools, max_infer_iters
)
@ -345,6 +353,8 @@ class MetaReferenceAgentsImpl(Agents):
model: str | None = None,
order: Order | None = Order.desc,
) -> ListOpenAIResponseObject:
if self.openai_responses_impl is None:
raise RuntimeError("OpenAI responses implementation not initialized")
return await self.openai_responses_impl.list_openai_responses(after, limit, model, order)
async def list_openai_response_input_items(
@ -356,9 +366,13 @@ class MetaReferenceAgentsImpl(Agents):
limit: int | None = 20,
order: Order | None = Order.desc,
) -> ListOpenAIResponseInputItem:
if self.openai_responses_impl is None:
raise RuntimeError("OpenAI responses implementation not initialized")
return await self.openai_responses_impl.list_openai_response_input_items(
response_id, after, before, include, limit, order
)
async def delete_openai_response(self, response_id: str) -> None:
async def delete_openai_response(self, response_id: str) -> OpenAIDeleteResponseObject:
if self.openai_responses_impl is None:
raise RuntimeError("OpenAI responses implementation not initialized")
return await self.openai_responses_impl.delete_openai_response(response_id)

2
pyproject.toml
View file

@ -244,7 +244,7 @@ exclude = [
"^llama_stack/models/llama/llama3/tool_utils\\.py$",
"^llama_stack/providers/inline/agents/meta_reference/",
"^llama_stack/providers/inline/agents/meta_reference/agent_instance\\.py$",
"^llama_stack/providers/inline/agents/meta_reference/agents\\.py$",
"^llama_stack/providers/inline/agents/meta_reference/safety\\.py$",
"^llama_stack/providers/inline/datasetio/localfs/",
"^llama_stack/providers/inline/eval/meta_reference/eval\\.py$",
"^llama_stack/providers/inline/inference/meta_reference/inference\\.py$",