forked from phoenix-oss/llama-stack-mirror
* API Keys passed from Client instead of distro configuration * delete distribution registry * Rename the "package" word away * Introduce a "Router" layer for providers Some providers need to be factorized and considered as thin routing layers on top of other providers. Consider two examples: - The inference API should be a routing layer over inference providers, routed using the "model" key - The memory banks API is another instance where various memory bank types will be provided by independent providers (e.g., a vector store is served by Chroma while a keyvalue memory can be served by Redis or PGVector) This commit introduces a generalized routing layer for this purpose. * update `apis_to_serve` * llama_toolchain -> llama_stack * Codemod from llama_toolchain -> llama_stack - added providers/registry - cleaned up api/ subdirectories and moved impls away - restructured api/api.py - from llama_stack.apis.<api> import foo should work now - update imports to do llama_stack.apis.<api> - update many other imports - added __init__, fixed some registry imports - updated registry imports - create_agentic_system -> create_agent - AgenticSystem -> Agent * Moved some stuff out of common/; re-generated OpenAPI spec * llama-toolchain -> llama-stack (hyphens) * add control plane API * add redis adapter + sqlite provider * move core -> distribution * Some more toolchain -> stack changes * small naming shenanigans * Removing custom tool and agent utilities and moving them client side * Move control plane to distribution server for now * Remove control plane from API list * no codeshield dependency randomly plzzzzz * Add "fire" as a dependency * add back event loggers * stack configure fixes * use brave instead of bing in the example client * add init file so it gets packaged * add init files so it gets packaged * Update MANIFEST * bug fix --------- Co-authored-by: Hardik Shah <hjshah@fb.com> Co-authored-by: Xi Yan <xiyan@meta.com> Co-authored-by: Ashwin Bharambe <ashwin@meta.com>
135 lines
3.9 KiB
Python
135 lines
3.9 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 logging
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import tempfile
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import uuid
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from typing import AsyncGenerator
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from llama_stack.apis.inference import Inference
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from llama_stack.apis.memory import Memory
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from llama_stack.apis.safety import Safety
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from llama_stack.apis.agents import * # noqa: F403
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from .agent_instance import ChatAgent
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from .config import MetaReferenceImplConfig
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from .tools.builtin import (
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CodeInterpreterTool,
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PhotogenTool,
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SearchTool,
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WolframAlphaTool,
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)
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from .tools.safety import with_safety
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logger = logging.getLogger()
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logger.setLevel(logging.INFO)
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AGENT_INSTANCES_BY_ID = {}
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class MetaReferenceAgentsImpl(Agents):
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def __init__(
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self,
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config: MetaReferenceImplConfig,
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inference_api: Inference,
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memory_api: Memory,
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safety_api: Safety,
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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.memory_api = memory_api
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self.safety_api = safety_api
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async def initialize(self) -> None:
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pass
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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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builtin_tools = []
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for tool_defn in agent_config.tools:
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if isinstance(tool_defn, WolframAlphaToolDefinition):
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tool = WolframAlphaTool(tool_defn.api_key)
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elif isinstance(tool_defn, SearchToolDefinition):
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tool = SearchTool(tool_defn.engine, tool_defn.api_key)
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elif isinstance(tool_defn, CodeInterpreterToolDefinition):
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tool = CodeInterpreterTool()
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elif isinstance(tool_defn, PhotogenToolDefinition):
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tool = PhotogenTool(dump_dir=tempfile.mkdtemp())
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else:
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continue
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builtin_tools.append(
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with_safety(
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tool,
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self.safety_api,
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tool_defn.input_shields,
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tool_defn.output_shields,
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)
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)
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AGENT_INSTANCES_BY_ID[agent_id] = ChatAgent(
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agent_config=agent_config,
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inference_api=self.inference_api,
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safety_api=self.safety_api,
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memory_api=self.memory_api,
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builtin_tools=builtin_tools,
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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 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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assert agent_id in AGENT_INSTANCES_BY_ID, f"System {agent_id} not found"
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agent = AGENT_INSTANCES_BY_ID[agent_id]
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session = agent.create_session(session_name)
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return AgentSessionCreateResponse(
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session_id=session.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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attachments: Optional[List[Attachment]] = None,
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stream: Optional[bool] = False,
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) -> AsyncGenerator:
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# wrapper request to make it easier to pass around (internal only, not exposed to API)
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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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attachments=attachments,
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stream=stream,
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)
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agent_id = request.agent_id
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assert agent_id in AGENT_INSTANCES_BY_ID, f"System {agent_id} not found"
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agent = AGENT_INSTANCES_BY_ID[agent_id]
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assert (
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request.session_id in agent.sessions
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), f"Session {request.session_id} not found"
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async for event in agent.create_and_execute_turn(request):
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yield event
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