forked from phoenix-oss/llama-stack-mirror
# 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)
235 lines
7.6 KiB
Python
235 lines
7.6 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 shutil
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import tempfile
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import uuid
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from typing import AsyncGenerator, List, Optional, Union
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from llama_stack.apis.agents import (
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AgentConfig,
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AgentCreateResponse,
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Agents,
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AgentSessionCreateResponse,
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AgentStepResponse,
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AgentToolGroup,
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AgentTurnCreateRequest,
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AgentTurnResumeRequest,
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Document,
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Session,
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Turn,
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)
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from llama_stack.apis.inference import (
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Inference,
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ToolConfig,
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ToolResponseMessage,
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UserMessage,
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)
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from llama_stack.apis.safety import Safety
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from llama_stack.apis.tools import ToolGroups, ToolRuntime
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from llama_stack.apis.vector_io import VectorIO
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from llama_stack.providers.utils.kvstore import InmemoryKVStoreImpl, kvstore_impl
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from .agent_instance import ChatAgent
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from .config import MetaReferenceAgentsImplConfig
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logger = logging.getLogger()
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logger.setLevel(logging.INFO)
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class MetaReferenceAgentsImpl(Agents):
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def __init__(
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self,
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config: MetaReferenceAgentsImplConfig,
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inference_api: Inference,
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vector_io_api: VectorIO,
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safety_api: Safety,
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tool_runtime_api: ToolRuntime,
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tool_groups_api: ToolGroups,
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):
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self.config = config
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self.inference_api = inference_api
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self.vector_io_api = vector_io_api
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self.safety_api = safety_api
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self.tool_runtime_api = tool_runtime_api
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self.tool_groups_api = tool_groups_api
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self.in_memory_store = InmemoryKVStoreImpl()
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self.tempdir = tempfile.mkdtemp()
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async def initialize(self) -> None:
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self.persistence_store = await kvstore_impl(self.config.persistence_store)
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# check if "bwrap" is available
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if not shutil.which("bwrap"):
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logger.warning("Warning: `bwrap` is not available. Code interpreter tool will not work correctly.")
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async def create_agent(
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self,
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agent_config: AgentConfig,
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) -> AgentCreateResponse:
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agent_id = str(uuid.uuid4())
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await self.persistence_store.set(
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key=f"agent:{agent_id}",
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value=agent_config.model_dump_json(),
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)
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return AgentCreateResponse(
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agent_id=agent_id,
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)
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async def get_agent(self, agent_id: str) -> ChatAgent:
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agent_config = await self.persistence_store.get(
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key=f"agent:{agent_id}",
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)
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if not agent_config:
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raise ValueError(f"Could not find agent config for {agent_id}")
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try:
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agent_config = json.loads(agent_config)
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except json.JSONDecodeError as e:
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raise ValueError(f"Could not JSON decode agent config for {agent_id}") from e
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try:
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agent_config = AgentConfig(**agent_config)
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except Exception as e:
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raise ValueError(f"Could not validate(?) agent config for {agent_id}") from e
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return ChatAgent(
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agent_id=agent_id,
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agent_config=agent_config,
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tempdir=self.tempdir,
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inference_api=self.inference_api,
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safety_api=self.safety_api,
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vector_io_api=self.vector_io_api,
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tool_runtime_api=self.tool_runtime_api,
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tool_groups_api=self.tool_groups_api,
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persistence_store=(
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self.persistence_store if agent_config.enable_session_persistence else self.in_memory_store
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),
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)
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async def create_agent_session(
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self,
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agent_id: str,
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session_name: str,
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) -> AgentSessionCreateResponse:
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agent = await self.get_agent(agent_id)
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session_id = await agent.create_session(session_name)
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return AgentSessionCreateResponse(
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session_id=session_id,
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)
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async def create_agent_turn(
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self,
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agent_id: str,
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session_id: str,
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messages: List[
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Union[
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UserMessage,
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ToolResponseMessage,
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]
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],
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toolgroups: Optional[List[AgentToolGroup]] = None,
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documents: Optional[List[Document]] = None,
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stream: Optional[bool] = False,
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tool_config: Optional[ToolConfig] = None,
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allow_turn_resume: Optional[bool] = False,
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) -> AsyncGenerator:
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request = AgentTurnCreateRequest(
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agent_id=agent_id,
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session_id=session_id,
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messages=messages,
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stream=True,
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toolgroups=toolgroups,
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documents=documents,
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tool_config=tool_config,
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allow_turn_resume=allow_turn_resume,
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)
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if stream:
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return self._create_agent_turn_streaming(request)
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else:
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raise NotImplementedError("Non-streaming agent turns not yet implemented")
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async def _create_agent_turn_streaming(
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self,
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request: AgentTurnCreateRequest,
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) -> AsyncGenerator:
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agent = await self.get_agent(request.agent_id)
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async for event in agent.create_and_execute_turn(request):
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yield event
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async def resume_agent_turn(
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self,
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agent_id: str,
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session_id: str,
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turn_id: str,
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tool_responses: List[ToolResponseMessage],
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stream: Optional[bool] = False,
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) -> AsyncGenerator:
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request = AgentTurnResumeRequest(
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agent_id=agent_id,
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session_id=session_id,
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turn_id=turn_id,
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tool_responses=tool_responses,
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stream=stream,
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)
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if stream:
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return self._continue_agent_turn_streaming(request)
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else:
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raise NotImplementedError("Non-streaming agent turns not yet implemented")
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async def _continue_agent_turn_streaming(
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self,
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request: AgentTurnResumeRequest,
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) -> AsyncGenerator:
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agent = await self.get_agent(request.agent_id)
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async for event in agent.resume_turn(request):
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yield event
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async def get_agents_turn(self, agent_id: str, session_id: str, turn_id: str) -> Turn:
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agent = await self.get_agent(agent_id)
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turn = await agent.storage.get_session_turn(session_id, turn_id)
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return turn
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async def get_agents_step(self, agent_id: str, session_id: str, turn_id: str, step_id: str) -> AgentStepResponse:
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turn = await self.get_agents_turn(agent_id, session_id, turn_id)
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for step in turn.steps:
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if step.step_id == step_id:
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return AgentStepResponse(step=step)
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raise ValueError(f"Provided step_id {step_id} could not be found")
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async def get_agents_session(
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self,
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agent_id: str,
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session_id: str,
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turn_ids: Optional[List[str]] = None,
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) -> Session:
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agent = await self.get_agent(agent_id)
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session_info = await agent.storage.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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turns = await agent.storage.get_session_turns(session_id)
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if turn_ids:
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turns = [turn for turn in turns if turn.turn_id in turn_ids]
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return Session(
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session_name=session_info.session_name,
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session_id=session_id,
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turns=turns,
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started_at=session_info.started_at,
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)
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async def delete_agents_session(self, agent_id: str, session_id: str) -> None:
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await self.persistence_store.delete(f"session:{agent_id}:{session_id}")
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async def delete_agent(self, agent_id: str) -> None:
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await self.persistence_store.delete(f"agent:{agent_id}")
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async def shutdown(self) -> None:
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pass
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