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Introduce Llama stack distributions (#22)
* 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>
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103
llama_toolchain/safety/meta_reference/safety.py
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llama_toolchain/safety/meta_reference/safety.py
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# 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 asyncio
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from typing import Dict
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from llama_models.sku_list import resolve_model
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from llama_toolchain.common.model_utils import model_local_dir
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from llama_toolchain.distribution.datatypes import Api, ProviderSpec
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from llama_toolchain.safety.api import * # noqa
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from .config import SafetyConfig
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from .shields import (
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CodeScannerShield,
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InjectionShield,
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JailbreakShield,
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LlamaGuardShield,
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PromptGuardShield,
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ShieldBase,
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ThirdPartyShield,
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)
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async def get_provider_impl(config: SafetyConfig, _deps: Dict[Api, ProviderSpec]):
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assert isinstance(config, SafetyConfig), f"Unexpected config type: {type(config)}"
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impl = MetaReferenceSafetyImpl(config)
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await impl.initialize()
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return impl
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def resolve_and_get_path(model_name: str) -> str:
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model = resolve_model(model_name)
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assert model is not None, f"Could not resolve model {model_name}"
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model_dir = model_local_dir(model)
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return model_dir
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class MetaReferenceSafetyImpl(Safety):
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def __init__(self, config: SafetyConfig) -> None:
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self.config = config
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async def initialize(self) -> None:
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shield_cfg = self.config.llama_guard_shield
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if shield_cfg is not None:
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model_dir = resolve_and_get_path(shield_cfg.model)
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_ = LlamaGuardShield.instance(
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model_dir=model_dir,
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excluded_categories=shield_cfg.excluded_categories,
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disable_input_check=shield_cfg.disable_input_check,
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disable_output_check=shield_cfg.disable_output_check,
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)
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shield_cfg = self.config.prompt_guard_shield
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if shield_cfg is not None:
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model_dir = resolve_and_get_path(shield_cfg.model)
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_ = PromptGuardShield.instance(model_dir)
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async def run_shields(
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self,
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request: RunShieldRequest,
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) -> RunShieldResponse:
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shields = [shield_config_to_shield(c, self.config) for c in request.shields]
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responses = await asyncio.gather(
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*[shield.run(request.messages) for shield in shields]
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)
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return RunShieldResponse(responses=responses)
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def shield_config_to_shield(
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sc: ShieldDefinition, safety_config: SafetyConfig
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) -> ShieldBase:
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if sc.shield_type == BuiltinShield.llama_guard:
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assert (
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safety_config.llama_guard_shield is not None
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), "Cannot use LlamaGuardShield since not present in config"
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model_dir = resolve_and_get_path(safety_config.llama_guard_shield.model)
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return LlamaGuardShield.instance(model_dir=model_dir)
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elif sc.shield_type == BuiltinShield.jailbreak_shield:
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assert (
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safety_config.prompt_guard_shield is not None
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), "Cannot use Jailbreak Shield since Prompt Guard not present in config"
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model_dir = resolve_and_get_path(safety_config.prompt_guard_shield.model)
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return JailbreakShield.instance(model_dir)
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elif sc.shield_type == BuiltinShield.injection_shield:
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assert (
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safety_config.prompt_guard_shield is not None
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), "Cannot use PromptGuardShield since not present in config"
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model_dir = resolve_and_get_path(safety_config.prompt_guard_shield.model)
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return InjectionShield.instance(model_dir)
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elif sc.shield_type == BuiltinShield.code_scanner_guard:
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return CodeScannerShield.instance()
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elif sc.shield_type == BuiltinShield.third_party_shield:
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return ThirdPartyShield.instance()
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else:
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raise ValueError(f"Unknown shield type: {sc.shield_type}")
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