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c1f7ba3aed
Splits the meta-reference safety implementation into three distinct providers: - inline::llama-guard - inline::prompt-guard - inline::code-scanner Note that this PR is a backward incompatible change to the llama stack server. I have added deprecation_error field to ProviderSpec -- the server reads it and immediately barfs. This is used to direct the user with a specific message on what action to perform. An automagical "config upgrade" is a bit too much work to implement right now :/ (Note that we will be gradually prefixing all inline providers with inline:: -- I am only doing this for this set of new providers because otherwise existing configuration files will break even more badly.)
88 lines
3.2 KiB
Python
88 lines
3.2 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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from typing import List
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from llama_stack.distribution.datatypes import (
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AdapterSpec,
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Api,
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InlineProviderSpec,
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ProviderSpec,
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remote_provider_spec,
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)
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def available_providers() -> List[ProviderSpec]:
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return [
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InlineProviderSpec(
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api=Api.safety,
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provider_type="meta-reference",
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pip_packages=[
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"transformers",
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"torch --index-url https://download.pytorch.org/whl/cpu",
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],
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module="llama_stack.providers.inline.safety.meta_reference",
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config_class="llama_stack.providers.inline.safety.meta_reference.SafetyConfig",
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api_dependencies=[
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Api.inference,
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],
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deprecation_error="""
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Provider `meta-reference` for API `safety` does not work with the latest Llama Stack.
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- if you are using Llama Guard v3, please use the `inline::llama-guard` provider instead.
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- if you are using Prompt Guard, please use the `inline::prompt-guard` provider instead.
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- if you are using Code Scanner, please use the `inline::code-scanner` provider instead.
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""",
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),
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InlineProviderSpec(
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api=Api.safety,
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provider_type="inline::llama-guard",
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pip_packages=[],
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module="llama_stack.providers.inline.safety.llama_guard",
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config_class="llama_stack.providers.inline.safety.llama_guard.LlamaGuardConfig",
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api_dependencies=[
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Api.inference,
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],
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),
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InlineProviderSpec(
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api=Api.safety,
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provider_type="inline::prompt-guard",
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pip_packages=[
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"transformers",
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"torch --index-url https://download.pytorch.org/whl/cpu",
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],
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module="llama_stack.providers.inline.safety.prompt_guard",
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config_class="llama_stack.providers.inline.safety.prompt_guard.PromptGuardConfig",
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),
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InlineProviderSpec(
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api=Api.safety,
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provider_type="inline::code-scanner",
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pip_packages=[
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"codeshield",
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],
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module="llama_stack.providers.inline.safety.code_scanner",
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config_class="llama_stack.providers.inline.safety.code_scanner.CodeScannerConfig",
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),
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remote_provider_spec(
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api=Api.safety,
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adapter=AdapterSpec(
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adapter_type="sample",
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pip_packages=[],
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module="llama_stack.providers.remote.safety.sample",
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config_class="llama_stack.providers.remote.safety.sample.SampleConfig",
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),
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),
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remote_provider_spec(
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api=Api.safety,
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adapter=AdapterSpec(
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adapter_type="bedrock",
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pip_packages=["boto3"],
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module="llama_stack.providers.remote.safety.bedrock",
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config_class="llama_stack.providers.remote.safety.bedrock.BedrockSafetyConfig",
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),
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),
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]
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