mirror of
https://github.com/meta-llama/llama-stack.git
synced 2025-10-04 04:04:14 +00:00
114 lines
3.9 KiB
Python
114 lines
3.9 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.
|
|
|
|
import argparse
|
|
import json
|
|
import shlex
|
|
|
|
from typing import Any, Dict
|
|
|
|
import yaml
|
|
from termcolor import cprint
|
|
|
|
from llama_toolchain.cli.subcommand import Subcommand
|
|
from llama_toolchain.common.config_dirs import DISTRIBS_BASE_DIR
|
|
|
|
|
|
class DistributionConfigure(Subcommand):
|
|
"""Llama cli for configuring llama toolchain configs"""
|
|
|
|
def __init__(self, subparsers: argparse._SubParsersAction):
|
|
super().__init__()
|
|
self.parser = subparsers.add_parser(
|
|
"configure",
|
|
prog="llama distribution configure",
|
|
description="configure a llama stack distribution",
|
|
formatter_class=argparse.RawTextHelpFormatter,
|
|
)
|
|
self._add_arguments()
|
|
self.parser.set_defaults(func=self._run_distribution_configure_cmd)
|
|
|
|
def _add_arguments(self):
|
|
self.parser.add_argument(
|
|
"--name",
|
|
type=str,
|
|
help="Name of the distribution to configure",
|
|
required=True,
|
|
)
|
|
|
|
def _run_distribution_configure_cmd(self, args: argparse.Namespace) -> None:
|
|
from llama_toolchain.distribution.registry import resolve_distribution_spec
|
|
|
|
config_file = DISTRIBS_BASE_DIR / args.name / "config.yaml"
|
|
if not config_file.exists():
|
|
self.parser.error(
|
|
f"Could not find {config_file}. Please run `llama distribution install` first"
|
|
)
|
|
return
|
|
|
|
# we need to find the spec from the name
|
|
with open(config_file, "r") as f:
|
|
config = yaml.safe_load(f)
|
|
|
|
dist = resolve_distribution_spec(config["spec"])
|
|
if dist is None:
|
|
raise ValueError(f"Could not find any registered spec `{config['spec']}`")
|
|
|
|
configure_llama_distribution(dist, config)
|
|
|
|
|
|
def configure_llama_distribution(dist: "Distribution", config: Dict[str, Any]):
|
|
from llama_toolchain.common.exec import run_command
|
|
from llama_toolchain.common.prompt_for_config import prompt_for_config
|
|
from llama_toolchain.common.serialize import EnumEncoder
|
|
from llama_toolchain.distribution.dynamic import instantiate_class_type
|
|
|
|
python_exe = run_command(shlex.split("which python"))
|
|
# simple check
|
|
conda_env = config["conda_env"]
|
|
if conda_env not in python_exe:
|
|
raise ValueError(
|
|
f"Please re-run configure by activating the `{conda_env}` conda environment"
|
|
)
|
|
|
|
existing_config = config
|
|
if "providers" in existing_config:
|
|
cprint(
|
|
f"Configuration already exists for {config['name']}. Will overwrite...",
|
|
"yellow",
|
|
attrs=["bold"],
|
|
)
|
|
|
|
provider_configs = {}
|
|
for api, provider_spec in dist.provider_specs.items():
|
|
cprint(f"Configuring API surface: {api.value}", "white", attrs=["bold"])
|
|
config_type = instantiate_class_type(provider_spec.config_class)
|
|
config = prompt_for_config(
|
|
config_type,
|
|
(
|
|
config_type(**existing_config["providers"][api.value])
|
|
if existing_config
|
|
and "providers" in existing_config
|
|
and api.value in existing_config["providers"]
|
|
else None
|
|
),
|
|
)
|
|
provider_configs[api.value] = {
|
|
"provider_id": provider_spec.provider_id,
|
|
**config.dict(),
|
|
}
|
|
|
|
dist_config = {
|
|
**existing_config,
|
|
"providers": provider_configs,
|
|
}
|
|
|
|
config_path = DISTRIBS_BASE_DIR / existing_config["name"] / "config.yaml"
|
|
with open(config_path, "w") as fp:
|
|
dist_config = json.loads(json.dumps(dist_config, cls=EnumEncoder))
|
|
fp.write(yaml.dump(dist_config, sort_keys=False))
|
|
|
|
print(f"YAML configuration has been written to {config_path}")
|