llama-stack/llama_stack/distribution/build.py
Ashwin Bharambe ec4fc800cc
[API Updates] Model / shield / memory-bank routing + agent persistence + support for private headers (#92)
This is yet another of those large PRs (hopefully we will have less and less of them as things mature fast). This one introduces substantial improvements and some simplifications to the stack.

Most important bits:

* Agents reference implementation now has support for session / turn persistence. The default implementation uses sqlite but there's also support for using Redis.

* We have re-architected the structure of the Stack APIs to allow for more flexible routing. The motivating use cases are:
  - routing model A to ollama and model B to a remote provider like Together
  - routing shield A to local impl while shield B to a remote provider like Bedrock
  - routing a vector memory bank to Weaviate while routing a keyvalue memory bank to Redis

* Support for provider specific parameters to be passed from the clients. A client can pass data using `x_llamastack_provider_data` parameter which can be type-checked and provided to the Adapter implementations.
2024-09-23 14:22:22 -07:00

97 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 enum import Enum
from typing import List, Optional
import pkg_resources
from pydantic import BaseModel
from termcolor import cprint
from llama_stack.distribution.utils.exec import run_with_pty
from llama_stack.distribution.datatypes import * # noqa: F403
from pathlib import Path
from llama_stack.distribution.distribution import api_providers, SERVER_DEPENDENCIES
class ImageType(Enum):
docker = "docker"
conda = "conda"
class Dependencies(BaseModel):
pip_packages: List[str]
docker_image: Optional[str] = None
class ApiInput(BaseModel):
api: Api
provider: str
def build_image(build_config: BuildConfig, build_file_path: Path):
package_deps = Dependencies(
docker_image=build_config.distribution_spec.docker_image or "python:3.10-slim",
pip_packages=SERVER_DEPENDENCIES,
)
# extend package dependencies based on providers spec
all_providers = api_providers()
for (
api_str,
provider_or_providers,
) in build_config.distribution_spec.providers.items():
providers_for_api = all_providers[Api(api_str)]
providers = (
provider_or_providers
if isinstance(provider_or_providers, list)
else [provider_or_providers]
)
for provider in providers:
if provider not in providers_for_api:
raise ValueError(
f"Provider `{provider}` is not available for API `{api_str}`"
)
provider_spec = providers_for_api[provider]
package_deps.pip_packages.extend(provider_spec.pip_packages)
if provider_spec.docker_image:
raise ValueError("A stack's dependencies cannot have a docker image")
if build_config.image_type == ImageType.docker.value:
script = pkg_resources.resource_filename(
"llama_stack", "distribution/build_container.sh"
)
args = [
script,
build_config.name,
package_deps.docker_image,
str(build_file_path),
" ".join(package_deps.pip_packages),
]
else:
script = pkg_resources.resource_filename(
"llama_stack", "distribution/build_conda_env.sh"
)
args = [
script,
build_config.name,
" ".join(package_deps.pip_packages),
]
return_code = run_with_pty(args)
if return_code != 0:
cprint(
f"Failed to build target {build_config.name} with return code {return_code}",
color="red",
)
return return_code