llama-stack-mirror/llama_toolchain/distribution/registry.py
Ashwin Bharambe f27d629fe8 Reduce a bunch of dependencies from toolchain
Some improvements to the distribution install script
2024-08-07 21:55:07 -07:00

87 lines
2.9 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 functools import lru_cache
from typing import List, Optional
from .datatypes import Api, DistributionSpec, RemoteProviderSpec
from .distribution import api_providers
# These are the dependencies needed by the distribution server.
# `llama-toolchain` is automatically installed by the installation script.
COMMON_DEPENDENCIES = [
"fastapi",
"python-dotenv",
"uvicorn",
]
def client_module(api: Api) -> str:
return f"llama_toolchain.{api.value}.client"
def remote_spec(api: Api) -> RemoteProviderSpec:
return RemoteProviderSpec(
api=api,
provider_id=f"{api.value}-remote",
module=client_module(api),
)
@lru_cache()
def available_distribution_specs() -> List[DistributionSpec]:
providers = api_providers()
return [
DistributionSpec(
spec_id="inline",
description="Use code from `llama_toolchain` itself to serve all llama stack APIs",
additional_pip_packages=(
COMMON_DEPENDENCIES
# why do we need any of these? they should be completely covered
# by the provider dependencies themselves
+ [
"accelerate",
"blobfile",
"codeshield",
"fairscale",
"pandas",
"Pillow",
"torch",
"transformers",
"fbgemm-gpu==0.8.0",
]
),
provider_specs={
Api.inference: providers[Api.inference]["meta-reference"],
Api.safety: providers[Api.safety]["meta-reference"],
Api.agentic_system: providers[Api.agentic_system]["meta-reference"],
},
),
DistributionSpec(
spec_id="remote",
description="Point to remote services for all llama stack APIs",
additional_pip_packages=COMMON_DEPENDENCIES,
provider_specs={x: remote_spec(x) for x in providers},
),
DistributionSpec(
spec_id="ollama-inline",
description="Like local-source, but use ollama for running LLM inference",
additional_pip_packages=COMMON_DEPENDENCIES,
provider_specs={
Api.inference: providers[Api.inference]["meta-ollama"],
Api.safety: providers[Api.safety]["meta-reference"],
Api.agentic_system: providers[Api.agentic_system]["meta-reference"],
},
),
]
@lru_cache()
def resolve_distribution_spec(spec_id: str) -> Optional[DistributionSpec]:
for spec in available_distribution_specs():
if spec.spec_id == spec_id:
return spec
return None