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* Add distribution CLI scaffolding * More progress towards `llama distribution install` * getting closer to a distro definition, distro install + configure works * Distribution server now functioning * read existing configuration, save enums properly * Remove inference uvicorn server entrypoint and llama inference CLI command * updated dependency and client model name * Improved exception handling * local imports for faster cli * undo a typo, add a passthrough distribution * implement full-passthrough in the server * add safety adapters, configuration handling, server + clients * cleanup, moving stuff to common, nuke utils * Add a Path() wrapper at the earliest place * fixes * Bring agentic system api to toolchain Add adapter dependencies and resolve adapters using a topological sort * refactor to reduce size of `agentic_system` * move straggler files and fix some important existing bugs * ApiSurface -> Api * refactor a method out * Adapter -> Provider * Make each inference provider into its own subdirectory * installation fixes * Rename Distribution -> DistributionSpec, simplify RemoteProviders * dict key instead of attr * update inference config to take model and not model_dir * Fix passthrough streaming, send headers properly not part of body :facepalm * update safety to use model sku ids and not model dirs * Update cli_reference.md * minor fixes * add DistributionConfig, fix a bug in model download * Make install + start scripts do proper configuration automatically * Update CLI_reference * Nuke fp8_requirements, fold fbgemm into common requirements * Update README, add newline between API surface configurations * Refactor download functionality out of the Command so can be reused * Add `llama model download` alias for `llama download` * Show message about checksum file so users can check themselves * Simpler intro statements * get ollama working * Reduce a bunch of dependencies from toolchain Some improvements to the distribution install script * Avoid using `conda run` since it buffers everything * update dependencies and rely on LLAMA_TOOLCHAIN_DIR for dev purposes * add validation for configuration input * resort imports * make optional subclasses default to yes for configuration * Remove additional_pip_packages; move deps to providers * for inline make 8b model the default * Add scripts to MANIFEST * allow installing from test.pypi.org * Fix #2 to help with testing packages * Must install llama-models at that same version first * fix PIP_ARGS --------- Co-authored-by: Hardik Shah <hjshah@fb.com> Co-authored-by: Hardik Shah <hjshah@meta.com>
142 lines
4.6 KiB
Python
142 lines
4.6 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 logging
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import os
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import uuid
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from typing import AsyncGenerator, Dict
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from llama_toolchain.distribution.datatypes import Api, ProviderSpec
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from llama_toolchain.inference.api import Inference
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from llama_toolchain.inference.api.datatypes import BuiltinTool
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from llama_toolchain.safety.api import Safety
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from llama_toolchain.agentic_system.api.endpoints import * # noqa
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from llama_toolchain.agentic_system.api import (
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AgenticSystem,
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AgenticSystemCreateRequest,
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AgenticSystemCreateResponse,
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AgenticSystemSessionCreateRequest,
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AgenticSystemSessionCreateResponse,
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AgenticSystemTurnCreateRequest,
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)
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from .agent_instance import AgentInstance
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from .config import AgenticSystemConfig
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from .tools.builtin import (
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BraveSearchTool,
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CodeInterpreterTool,
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PhotogenTool,
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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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async def get_provider_impl(config: AgenticSystemConfig, deps: Dict[Api, ProviderSpec]):
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assert isinstance(
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config, AgenticSystemConfig
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), f"Unexpected config type: {type(config)}"
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impl = MetaReferenceAgenticSystemImpl(
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deps[Api.inference],
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deps[Api.safety],
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)
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await impl.initialize()
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return impl
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AGENT_INSTANCES_BY_ID = {}
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class MetaReferenceAgenticSystemImpl(AgenticSystem):
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def __init__(self, inference_api: Inference, safety_api: Safety):
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self.inference_api = inference_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_agentic_system(
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self,
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request: AgenticSystemCreateRequest,
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) -> AgenticSystemCreateResponse:
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system_id = str(uuid.uuid4())
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builtin_tools = []
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custom_tool_definitions = []
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cfg = request.instance_config
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for dfn in cfg.available_tools:
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if isinstance(dfn.tool_name, BuiltinTool):
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if dfn.tool_name == BuiltinTool.wolfram_alpha:
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tool = WolframAlphaTool(os.environ.get("WOLFRAM_ALPHA_API_KEY"))
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elif dfn.tool_name == BuiltinTool.brave_search:
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tool = BraveSearchTool(os.environ.get("BRAVE_SEARCH_API_KEY"))
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elif dfn.tool_name == BuiltinTool.code_interpreter:
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tool = CodeInterpreterTool()
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elif dfn.tool_name == BuiltinTool.photogen:
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tool = PhotogenTool(
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dump_dir="/tmp/photogen_dump_" + os.environ["USER"],
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)
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else:
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raise ValueError(f"Unknown builtin tool: {dfn.tool_name}")
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builtin_tools.append(
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with_safety(
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tool, self.safety_api, dfn.input_shields, dfn.output_shields
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)
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)
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else:
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custom_tool_definitions.append(dfn)
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AGENT_INSTANCES_BY_ID[system_id] = AgentInstance(
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system_id=system_id,
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instance_config=request.instance_config,
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model=request.model,
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inference_api=self.inference_api,
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builtin_tools=builtin_tools,
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custom_tool_definitions=custom_tool_definitions,
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safety_api=self.safety_api,
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input_shields=cfg.input_shields,
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output_shields=cfg.output_shields,
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prefix_messages=cfg.debug_prefix_messages,
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)
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return AgenticSystemCreateResponse(
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system_id=system_id,
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)
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async def create_agentic_system_session(
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self,
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request: AgenticSystemSessionCreateRequest,
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) -> AgenticSystemSessionCreateResponse:
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system_id = request.system_id
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assert system_id in AGENT_INSTANCES_BY_ID, f"System {system_id} not found"
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agent = AGENT_INSTANCES_BY_ID[system_id]
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session = agent.create_session(request.session_name)
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return AgenticSystemSessionCreateResponse(
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session_id=session.session_id,
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)
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async def create_agentic_system_turn(
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self,
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request: AgenticSystemTurnCreateRequest,
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) -> AsyncGenerator:
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system_id = request.system_id
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assert system_id in AGENT_INSTANCES_BY_ID, f"System {system_id} not found"
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agent = AGENT_INSTANCES_BY_ID[system_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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