llama-stack-mirror/llama_stack/providers/utils/responses/responses_store.py
Eric Huang f39d1732ea list responses
# What does this PR do?


## Test Plan
2025-05-23 13:00:59 -07:00

98 lines
3.4 KiB
Python

# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
from llama_stack.apis.agents import (
Order,
)
from llama_stack.apis.agents.openai_responses import (
ListOpenAIResponseObject,
OpenAIResponseInput,
OpenAIResponseObject,
OpenAIResponseObjectWithInput,
)
from llama_stack.distribution.utils.config_dirs import RUNTIME_BASE_DIR
from ..sqlstore.api import ColumnDefinition, ColumnType
from ..sqlstore.sqlstore import SqliteSqlStoreConfig, SqlStoreConfig, sqlstore_impl
class ResponsesStore:
def __init__(self, sql_store_config: SqlStoreConfig):
if not sql_store_config:
sql_store_config = SqliteSqlStoreConfig(
db_path=(RUNTIME_BASE_DIR / "sqlstore.db").as_posix(),
)
self.sql_store = sqlstore_impl(sql_store_config)
async def initialize(self):
"""Create the necessary tables if they don't exist."""
await self.sql_store.create_table(
"openai_responses",
{
"id": ColumnDefinition(type=ColumnType.STRING, primary_key=True),
"created_at": ColumnType.INTEGER,
"response_object": ColumnType.JSON,
"model": ColumnType.STRING,
},
)
async def store_response_object(
self, response_object: OpenAIResponseObject, input: list[OpenAIResponseInput]
) -> None:
data = response_object.model_dump()
data["input"] = [input_item.model_dump() for input_item in input]
await self.sql_store.insert(
"openai_responses",
{
"id": data["id"],
"created_at": data["created_at"],
"model": data["model"],
"response_object": data,
},
)
async def list_responses(
self,
after: str | None = None,
limit: int | None = 50,
model: str | None = None,
order: Order | None = Order.desc,
) -> ListOpenAIResponseObject:
"""
List responses from the database.
:param after: The ID of the last response to return.
:param limit: The maximum number of responses to return.
:param model: The model to filter by.
:param order: The order to sort the responses by.
"""
# TODO: support after
if after:
raise NotImplementedError("After is not supported for SQLite")
if not order:
order = Order.desc
rows = await self.sql_store.fetch_all(
"openai_responses",
where={"model": model} if model else None,
order_by=[("created_at", order.value)],
limit=limit,
)
data = [OpenAIResponseObjectWithInput(**row["response_object"]) for row in rows]
return ListOpenAIResponseObject(
data=data,
# TODO: implement has_more
has_more=False,
first_id=data[0].id if data else "",
last_id=data[-1].id if data else "",
)
async def get_response_object(self, response_id: str) -> OpenAIResponseObjectWithInput:
row = await self.sql_store.fetch_one("openai_responses", where={"id": response_id})
if not row:
raise ValueError(f"Response with id {response_id} not found") from None
return OpenAIResponseObjectWithInput(**row["response_object"])