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https://github.com/meta-llama/llama-stack.git
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Add distribution CLI scaffolding
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parent
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commit
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13 changed files with 277 additions and 3 deletions
7
llama_toolchain/cli/distribution/__init__.py
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7
llama_toolchain/cli/distribution/__init__.py
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# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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from .distribution import DistributionParser # noqa
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29
llama_toolchain/cli/distribution/create.py
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29
llama_toolchain/cli/distribution/create.py
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# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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import argparse
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from llama_toolchain.cli.subcommand import Subcommand
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class DistributionCreate(Subcommand):
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def __init__(self, subparsers: argparse._SubParsersAction):
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super().__init__()
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self.parser = subparsers.add_parser(
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"create",
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prog="llama distribution create",
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description="create a Llama stack distribution",
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formatter_class=argparse.RawTextHelpFormatter,
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)
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self._add_arguments()
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self.parser.set_defaults(func=self._run_distribution_create_cmd)
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def _add_arguments(self):
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pass
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def _run_distribution_create_cmd(self, args: argparse.Namespace) -> None:
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raise NotImplementedError()
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30
llama_toolchain/cli/distribution/distribution.py
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30
llama_toolchain/cli/distribution/distribution.py
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# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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import argparse
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from llama_toolchain.cli.subcommand import Subcommand
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from .create import DistributionCreate
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from .install import DistributionInstall
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from .list import DistributionList
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class DistributionParser(Subcommand):
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def __init__(self, subparsers: argparse._SubParsersAction):
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super().__init__()
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self.parser = subparsers.add_parser(
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"distribution",
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prog="llama distribution",
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description="Operate on llama stack distributions",
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)
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subparsers = self.parser.add_subparsers(title="distribution_subcommands")
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# Add sub-commands
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DistributionList.create(subparsers)
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DistributionInstall.create(subparsers)
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DistributionCreate.create(subparsers)
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92
llama_toolchain/cli/distribution/install.py
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92
llama_toolchain/cli/distribution/install.py
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# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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import argparse
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import os
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from pathlib import Path
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import pkg_resources
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from llama_toolchain.cli.subcommand import Subcommand
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from llama_toolchain.distribution.registry import all_registered_distributions
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from llama_toolchain.utils import DEFAULT_DUMP_DIR
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CONFIGS_BASE_DIR = os.path.join(DEFAULT_DUMP_DIR, "configs")
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class DistributionInstall(Subcommand):
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"""Llama cli for configuring llama toolchain configs"""
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def __init__(self, subparsers: argparse._SubParsersAction):
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super().__init__()
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self.parser = subparsers.add_parser(
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"install",
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prog="llama distribution install",
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description="Install a llama stack distribution",
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formatter_class=argparse.RawTextHelpFormatter,
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)
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self._add_arguments()
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self.parser.set_defaults(func=self._run_distribution_install_cmd)
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def _add_arguments(self):
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distribs = all_registered_distributions()
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self.parser.add_argument(
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"--name",
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type=str,
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help="Mame of the distribution to install",
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default="local-source",
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choices=[d.name for d in distribs],
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)
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def read_user_inputs(self):
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checkpoint_dir = input(
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"Enter the checkpoint directory for the model (e.g., ~/.llama/checkpoints/Meta-Llama-3-8B/): "
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)
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model_parallel_size = input(
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"Enter model parallel size (e.g., 1 for 8B / 8 for 70B and 405B): "
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)
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assert model_parallel_size.isdigit() and int(model_parallel_size) in {
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1,
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8,
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}, "model parallel size must be 1 or 8"
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return checkpoint_dir, model_parallel_size
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def write_output_yaml(self, checkpoint_dir, model_parallel_size, yaml_output_path):
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default_conf_path = pkg_resources.resource_filename(
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"llama_toolchain", "data/default_distribution_config.yaml"
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)
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with open(default_conf_path, "r") as f:
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yaml_content = f.read()
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yaml_content = yaml_content.format(
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checkpoint_dir=checkpoint_dir,
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model_parallel_size=model_parallel_size,
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)
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with open(yaml_output_path, "w") as yaml_file:
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yaml_file.write(yaml_content.strip())
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print(f"YAML configuration has been written to {yaml_output_path}")
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def _run_distribution_install_cmd(self, args: argparse.Namespace) -> None:
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checkpoint_dir, model_parallel_size = self.read_user_inputs()
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checkpoint_dir = os.path.expanduser(checkpoint_dir)
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assert (
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Path(checkpoint_dir).exists() and Path(checkpoint_dir).is_dir()
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), f"{checkpoint_dir} does not exist or it not a directory"
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os.makedirs(CONFIGS_BASE_DIR, exist_ok=True)
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yaml_output_path = Path(CONFIGS_BASE_DIR) / "distribution.yaml"
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self.write_output_yaml(
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checkpoint_dir,
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model_parallel_size,
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yaml_output_path,
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)
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52
llama_toolchain/cli/distribution/list.py
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52
llama_toolchain/cli/distribution/list.py
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# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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import argparse
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from llama_toolchain.cli.subcommand import Subcommand
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from llama_toolchain.cli.table import print_table
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from llama_toolchain.distribution.registry import all_registered_distributions
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class DistributionList(Subcommand):
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def __init__(self, subparsers: argparse._SubParsersAction):
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super().__init__()
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self.parser = subparsers.add_parser(
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"list",
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prog="llama distribution list",
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description="Show available llama stack distributions",
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formatter_class=argparse.RawTextHelpFormatter,
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)
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self._add_arguments()
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self.parser.set_defaults(func=self._run_distribution_list_cmd)
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def _add_arguments(self):
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pass
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def _run_distribution_list_cmd(self, args: argparse.Namespace) -> None:
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# eventually, this should query a registry at llama.meta.com/llamastack/distributions
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headers = [
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"Name",
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"Description",
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"Dependencies",
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]
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rows = []
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for dist in all_registered_distributions():
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rows.append(
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[
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dist.name,
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dist.description,
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", ".join(dist.pip_packages),
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]
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)
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print_table(
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rows,
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headers,
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separate_rows=True,
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)
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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from .inference import InferenceParser # noqa
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import argparse
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from llama_toolchain.cli.download import Download
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from llama_toolchain.cli.inference.inference import InferenceParser
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from llama_toolchain.cli.model.model import ModelParser
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from .distribution import DistributionParser
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from .download import Download
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from .inference import InferenceParser
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from .model import ModelParser
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class LlamaCLIParser:
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Download.create(subparsers)
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InferenceParser.create(subparsers)
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ModelParser.create(subparsers)
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DistributionParser.create(subparsers)
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# Import sub-commands from agentic_system if they exist
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try:
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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from .model import ModelParser # noqa
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5
llama_toolchain/distribution/__init__.py
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5
llama_toolchain/distribution/__init__.py
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# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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19
llama_toolchain/distribution/datatypes.py
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19
llama_toolchain/distribution/datatypes.py
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# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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from typing import List
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from pydantic import BaseModel
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class LlamaStackDistribution(BaseModel):
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name: str
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description: str
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# you must install the packages to get the functionality needed.
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# later, we may have a docker image be the main artifact of
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# a distribution.
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pip_packages: List[str]
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5
llama_toolchain/distribution/local-ollama/install.sh
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5
llama_toolchain/distribution/local-ollama/install.sh
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# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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5
llama_toolchain/distribution/local/install.sh
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5
llama_toolchain/distribution/local/install.sh
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# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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24
llama_toolchain/distribution/registry.py
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llama_toolchain/distribution/registry.py
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# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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from typing import List
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from .datatypes import LlamaStackDistribution
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def all_registered_distributions() -> List[LlamaStackDistribution]:
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return [
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LlamaStackDistribution(
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name="local-source",
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description="Use code within `llama_toolchain` itself to run model inference and everything on top",
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pip_packages=[],
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),
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LlamaStackDistribution(
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name="local-ollama",
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description="Like local-source, but use ollama for running LLM inference",
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pip_packages=[],
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),
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]
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