This commit is contained in:
Xi Yan 2024-09-18 10:00:29 -07:00
parent 45a2f4809c
commit 18b3dbcacc
5 changed files with 239 additions and 0 deletions

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# 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.
import asyncio
import json
from pathlib import Path
from typing import Any, Dict, List, Optional
import fire
import httpx
from llama_toolchain.core.datatypes import RemoteProviderConfig
from termcolor import cprint
from .api import * # noqa: F403
class ModelsClient(Models):
def __init__(self, base_url: str):
self.base_url = base_url
async def initialize(self) -> None:
pass
async def shutdown(self) -> None:
pass
async def list_models(self) -> List[ModelSpec]:
async with httpx.AsyncClient() as client:
response = await client.get(
f"{self.base_url}/models/list",
headers={"Content-Type": "application/json"},
)
response.raise_for_status()
return ModelsListResponse(**response.json())
async def get_model(self, model_id: str) -> List[ModelSpec]:
async with httpx.AsyncClient() as client:
response = await client.post(
f"{self.base_url}/models/get",
json={
"model_id": model_id,
},
headers={"Content-Type": "application/json"},
)
response.raise_for_status()
return ModelsGetResponse(**response.json())
async def run_main(host: str, port: int, stream: bool):
client = ModelsClient(f"http://{host}:{port}")
response = await client.list_models()
cprint(f"list_models response={response}", "green")
response = await client.get_model("Meta-Llama3.1-8B-Instruct")
cprint(f"get_model response={response}", "blue")
response = await client.get_model("Llama-Guard-3-8B")
cprint(f"get_model response={response}", "red")
def main(host: str, port: int, stream: bool = True):
asyncio.run(run_main(host, port, stream))
if __name__ == "__main__":
fire.Fire(main)

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# 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 typing import Dict
from llama_stack.distribution.datatypes import Api, ProviderSpec
from .config import MetaReferenceImplConfig # noqa
async def get_provider_impl(
config: MetaReferenceImplConfig, deps: Dict[Api, ProviderSpec]
):
from .models import MetaReferenceModelsImpl
assert isinstance(
config, MetaReferenceImplConfig
), f"Unexpected config type: {type(config)}"
impl = MetaReferenceModelsImpl(config, deps[Api.inference], deps[Api.safety])
await impl.initialize()
return impl

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# 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 typing import Optional
from llama_models.datatypes import ModelFamily
from llama_models.schema_utils import json_schema_type
from llama_models.sku_list import all_registered_models, resolve_model
from pydantic import BaseModel, Field, field_validator
@json_schema_type
class MetaReferenceImplConfig(BaseModel): ...

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# 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.
import asyncio
from typing import AsyncIterator, Union
from llama_models.llama3.api.datatypes import StopReason
from llama_models.sku_list import resolve_model
from llama_stack.apis.models import * # noqa: F403
from llama_models.llama3.api.datatypes import * # noqa: F403
from llama_models.datatypes import CoreModelId, Model
from llama_models.sku_list import resolve_model
from llama_stack.apis.inference import Inference
from llama_stack.apis.safety import Safety
from llama_stack.providers.impls.meta_reference.inference.inference import (
MetaReferenceInferenceImpl,
)
from llama_stack.providers.impls.meta_reference.safety.safety import (
MetaReferenceSafetyImpl,
)
from .config import MetaReferenceImplConfig
class MetaReferenceModelsImpl(Models):
def __init__(
self,
config: MetaReferenceImplConfig,
inference_api: Inference,
safety_api: Safety,
) -> None:
self.config = config
self.inference_api = inference_api
self.safety_api = safety_api
self.models_list = []
# TODO, make the inference route provider and use router provider to do the lookup dynamically
if isinstance(
self.inference_api,
MetaReferenceInferenceImpl,
):
model = resolve_model(self.inference_api.config.model)
self.models_list.append(
ModelSpec(
llama_model_metadata=model,
providers_spec={
"inference": [{"provider_type": "meta-reference"}],
},
)
)
if isinstance(
self.safety_api,
MetaReferenceSafetyImpl,
):
shield_cfg = self.safety_api.config.llama_guard_shield
if shield_cfg is not None:
model = resolve_model(shield_cfg.model)
self.models_list.append(
ModelSpec(
llama_model_metadata=model,
providers_spec={
"safety": [{"provider_type": "meta-reference"}],
},
)
)
shield_cfg = self.safety_api.config.prompt_guard_shield
if shield_cfg is not None:
model = resolve_model(shield_cfg.model)
self.models_list.append(
ModelSpec(
llama_model_metadata=model,
providers_spec={
"safety": [{"provider_type": "meta-reference"}],
},
)
)
async def initialize(self) -> None:
pass
async def list_models(self) -> ModelsListResponse:
return ModelsListResponse(models_list=self.models_list)
async def get_model(self, model_id: str) -> ModelsGetResponse:
for model in self.models_list:
if model.llama_model_metadata.core_model_id.value == model_id:
return ModelsGetResponse(core_model_spec=model)
return ModelsGetResponse()
async def register_model(
self, model_id: str, api: str, provider_spec: Dict[str, str]
) -> ModelsRegisterResponse:
return ModelsRegisterResponse()

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# 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 typing import List
from llama_stack.distribution.datatypes import * # noqa: F403
def available_providers() -> List[ProviderSpec]:
return [
InlineProviderSpec(
api=Api.models,
provider_id="meta-reference",
pip_packages=[],
module="llama_stack.providers.impls.meta_reference.models",
config_class="llama_stack.providers.impls.meta_reference.models.MetaReferenceImplConfig",
api_dependencies=[
Api.inference,
Api.safety,
],
)
]