forked from phoenix-oss/llama-stack-mirror
69 lines
2.5 KiB
Python
69 lines
2.5 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 * # noqa: F403
|
|
|
|
|
|
@lru_cache()
|
|
def available_distribution_specs() -> List[DistributionSpec]:
|
|
return [
|
|
DistributionSpec(
|
|
distribution_type="local",
|
|
description="Use code from `llama_toolchain` itself to serve all llama stack APIs",
|
|
providers={
|
|
Api.inference: "meta-reference",
|
|
Api.memory: "meta-reference-faiss",
|
|
Api.safety: "meta-reference",
|
|
Api.agentic_system: "meta-reference",
|
|
},
|
|
),
|
|
DistributionSpec(
|
|
distribution_type="remote",
|
|
description="Point to remote services for all llama stack APIs",
|
|
providers={x: "remote" for x in Api},
|
|
),
|
|
DistributionSpec(
|
|
distribution_type="local-ollama",
|
|
description="Like local, but use ollama for running LLM inference",
|
|
providers={
|
|
Api.inference: remote_provider_type("ollama"),
|
|
Api.safety: "meta-reference",
|
|
Api.agentic_system: "meta-reference",
|
|
Api.memory: "meta-reference-faiss",
|
|
},
|
|
),
|
|
DistributionSpec(
|
|
distribution_type="local-plus-fireworks-inference",
|
|
description="Use Fireworks.ai for running LLM inference",
|
|
providers={
|
|
Api.inference: remote_provider_type("fireworks"),
|
|
Api.safety: "meta-reference",
|
|
Api.agentic_system: "meta-reference",
|
|
Api.memory: "meta-reference-faiss",
|
|
},
|
|
),
|
|
DistributionSpec(
|
|
distribution_type="local-plus-together-inference",
|
|
description="Use Together.ai for running LLM inference",
|
|
providers={
|
|
Api.inference: remote_provider_type("together"),
|
|
Api.safety: "meta-reference",
|
|
Api.agentic_system: "meta-reference",
|
|
Api.memory: "meta-reference-faiss",
|
|
},
|
|
),
|
|
]
|
|
|
|
|
|
@lru_cache()
|
|
def resolve_distribution_spec(distribution_type: str) -> Optional[DistributionSpec]:
|
|
for spec in available_distribution_specs():
|
|
if spec.distribution_type == distribution_type:
|
|
return spec
|
|
return None
|