llama-stack-mirror/llama_stack/providers/registry/safety.py
Sébastien Han dbdc811d16
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chore: isolate bare minimum project dependencies (#2282)
# What does this PR do?

The goal is to promote the minimal set of dependencies the project needs
to run, this includes:

* dependencies needed to work with the CLI
* dependencies needed for the server to run with no providers

This also:
* Relocate redundant dependencies out of the core project and into the
  individual providers that actually require them.
* Include all necessary server dependencies so the project can run
  standalone, even without any providers.

<!-- Provide a short summary of what this PR does and why. Link to
relevant issues if applicable. -->

<!-- If resolving an issue, uncomment and update the line below -->
<!-- Closes #[issue-number] -->

## Test Plan

Build and run distro a server.

Signed-off-by: Sébastien Han <seb@redhat.com>
2025-06-26 10:14:27 +02:00

76 lines
2.8 KiB
Python

# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
from llama_stack.providers.datatypes import (
AdapterSpec,
Api,
InlineProviderSpec,
ProviderSpec,
remote_provider_spec,
)
def available_providers() -> list[ProviderSpec]:
return [
InlineProviderSpec(
api=Api.safety,
provider_type="inline::prompt-guard",
pip_packages=[
"transformers[accelerate]",
"torch --index-url https://download.pytorch.org/whl/cpu",
],
module="llama_stack.providers.inline.safety.prompt_guard",
config_class="llama_stack.providers.inline.safety.prompt_guard.PromptGuardConfig",
),
InlineProviderSpec(
api=Api.safety,
provider_type="inline::llama-guard",
pip_packages=[],
module="llama_stack.providers.inline.safety.llama_guard",
config_class="llama_stack.providers.inline.safety.llama_guard.LlamaGuardConfig",
api_dependencies=[
Api.inference,
],
),
InlineProviderSpec(
api=Api.safety,
provider_type="inline::code-scanner",
pip_packages=[
"codeshield",
],
module="llama_stack.providers.inline.safety.code_scanner",
config_class="llama_stack.providers.inline.safety.code_scanner.CodeScannerConfig",
),
remote_provider_spec(
api=Api.safety,
adapter=AdapterSpec(
adapter_type="bedrock",
pip_packages=["boto3"],
module="llama_stack.providers.remote.safety.bedrock",
config_class="llama_stack.providers.remote.safety.bedrock.BedrockSafetyConfig",
),
),
remote_provider_spec(
api=Api.safety,
adapter=AdapterSpec(
adapter_type="nvidia",
pip_packages=["requests"],
module="llama_stack.providers.remote.safety.nvidia",
config_class="llama_stack.providers.remote.safety.nvidia.NVIDIASafetyConfig",
),
),
remote_provider_spec(
api=Api.safety,
adapter=AdapterSpec(
adapter_type="sambanova",
pip_packages=["litellm", "requests"],
module="llama_stack.providers.remote.safety.sambanova",
config_class="llama_stack.providers.remote.safety.sambanova.SambaNovaSafetyConfig",
provider_data_validator="llama_stack.providers.remote.safety.sambanova.config.SambaNovaProviderDataValidator",
),
),
]