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# What does this PR do? - Fix up rotten implementation for retrieving agent's Session, Turn, Step with actual working implementation. - Update `getting_started` notebook with retrieving by agent session_id. https://github.com/meta-llama/llama-stack/blob/export_agent_dataset/docs/getting_started.ipynb [//]: # (If resolving an issue, uncomment and update the line below) [//]: # (Closes #[issue-number]) ## Test Plan Test with script: https://gist.github.com/yanxi0830/657cecee8f1f0e39d322963d9c0f598e <img width="503" alt="image" src="https://github.com/user-attachments/assets/5ea9bc33-83d1-40bc-98e1-b68393158387" /> [//]: # (## Documentation)
107 lines
3.6 KiB
Python
107 lines
3.6 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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import json
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import logging
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import uuid
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from datetime import datetime
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from typing import List, Optional
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from pydantic import BaseModel
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from llama_stack.apis.agents import ToolExecutionStep, Turn
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from llama_stack.providers.utils.kvstore import KVStore
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log = logging.getLogger(__name__)
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class AgentSessionInfo(BaseModel):
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session_id: str
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session_name: str
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# TODO: is this used anywhere?
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vector_db_id: Optional[str] = None
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started_at: datetime
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class AgentPersistence:
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def __init__(self, agent_id: str, kvstore: KVStore):
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self.agent_id = agent_id
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self.kvstore = kvstore
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async def create_session(self, name: str) -> str:
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session_id = str(uuid.uuid4())
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session_info = AgentSessionInfo(
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session_id=session_id,
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session_name=name,
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started_at=datetime.now(),
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)
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await self.kvstore.set(
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key=f"session:{self.agent_id}:{session_id}",
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value=session_info.model_dump_json(),
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)
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return session_id
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async def get_session_info(self, session_id: str) -> Optional[AgentSessionInfo]:
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value = await self.kvstore.get(
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key=f"session:{self.agent_id}:{session_id}",
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)
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if not value:
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return None
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return AgentSessionInfo(**json.loads(value))
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async def add_vector_db_to_session(self, session_id: str, vector_db_id: str):
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session_info = await self.get_session_info(session_id)
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if session_info is None:
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raise ValueError(f"Session {session_id} not found")
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session_info.vector_db_id = vector_db_id
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await self.kvstore.set(
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key=f"session:{self.agent_id}:{session_id}",
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value=session_info.model_dump_json(),
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)
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async def add_turn_to_session(self, session_id: str, turn: Turn):
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await self.kvstore.set(
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key=f"session:{self.agent_id}:{session_id}:{turn.turn_id}",
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value=turn.model_dump_json(),
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)
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async def get_session_turns(self, session_id: str) -> List[Turn]:
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values = await self.kvstore.range(
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start_key=f"session:{self.agent_id}:{session_id}:",
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end_key=f"session:{self.agent_id}:{session_id}:\xff\xff\xff\xff",
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)
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turns = []
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for value in values:
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try:
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turn = Turn(**json.loads(value))
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turns.append(turn)
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except Exception as e:
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log.error(f"Error parsing turn: {e}")
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continue
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turns.sort(key=lambda x: (x.completed_at or datetime.min))
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return turns
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async def get_session_turn(self, session_id: str, turn_id: str) -> Optional[Turn]:
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value = await self.kvstore.get(
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key=f"session:{self.agent_id}:{session_id}:{turn_id}",
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)
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if not value:
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return None
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return Turn(**json.loads(value))
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async def set_in_progress_tool_call_step(self, session_id: str, turn_id: str, step: ToolExecutionStep):
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await self.kvstore.set(
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key=f"in_progress_tool_call_step:{self.agent_id}:{session_id}:{turn_id}",
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value=step.model_dump_json(),
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)
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async def get_in_progress_tool_call_step(self, session_id: str, turn_id: str) -> Optional[ToolExecutionStep]:
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value = await self.kvstore.get(
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key=f"in_progress_tool_call_step:{self.agent_id}:{session_id}:{turn_id}",
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)
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return ToolExecutionStep(**json.loads(value)) if value else None
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