init: first remote llamacpp implementation

This commit is contained in:
Young Han 2025-07-12 16:28:08 -07:00
parent 8374d4cefd
commit ec73d0d55b
9 changed files with 675 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.
from llama_stack.apis.inference import InferenceProvider
from .config import LlamaCppImplConfig
async def get_adapter_impl(config: LlamaCppImplConfig, _deps) -> InferenceProvider:
# import dynamically so the import is used only when it is needed
from .llamacpp import LlamaCppInferenceAdapter
adapter = LlamaCppInferenceAdapter(config)
return adapter

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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 Any, Union
from llama_stack.schema_utils import json_schema_type
from pydantic import BaseModel, Field
class LlamaCppProviderDataValidator(BaseModel):
llamacpp_api_key: Union[str, None] = Field(
default=None,
description="API key for llama.cpp server (optional for local servers)",
)
@json_schema_type
class LlamaCppImplConfig(BaseModel):
api_key: Union[str, None] = Field(
default=None,
description="The llama.cpp server API key (optional for local servers)",
)
openai_compat_api_base: str = Field(
default="http://localhost:8080/v1",
description="The URL for the llama.cpp server with OpenAI-compatible API",
)
@classmethod
def sample_run_config(
cls, api_key: str = "${env.LLAMACPP_API_KEY:}"
) -> dict[str, Any]:
return {
"openai_compat_api_base": "${env.LLAMACPP_URL:http://localhost:8080}/v1",
"api_key": api_key,
}

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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 llama_stack.apis.models.models import Model
from llama_stack.providers.remote.inference.llamacpp.config import LlamaCppImplConfig
from llama_stack.providers.utils.inference.litellm_openai_mixin import (
LiteLLMOpenAIMixin,
)
class LlamaCppInferenceAdapter(LiteLLMOpenAIMixin):
_config: LlamaCppImplConfig
def __init__(self, config: LlamaCppImplConfig):
LiteLLMOpenAIMixin.__init__(
self,
model_entries=[], # llama.cpp can work with any GGUF model
api_key_from_config=config.api_key,
provider_data_api_key_field="llamacpp_api_key",
openai_compat_api_base=config.openai_compat_api_base,
)
self.config = config
async def register_model(self, model: Model) -> Model:
# llama.cpp can work with any GGUF model, so we accept any model name
# without validation against a predefined list
return model
async def initialize(self):
await super().initialize()
async def shutdown(self):
await super().shutdown()