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https://github.com/meta-llama/llama-stack.git
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83b5523e2d
# What does this PR do? allow users to specify only the providers they want in the llama stack build command. If a user wants a non-interactive build, but doesn't want to use a template, `--providers` allows someone to specify something like `--providers inference=remote::ollama` for a distro with JUST ollama ## Test Plan `llama stack build --providers inference=remote::ollama --image-type venv` <img width="1084" alt="Screenshot 2025-03-20 at 9 34 14 AM" src="https://github.com/user-attachments/assets/502b5fa2-edab-4267-a595-4f987204a6a9" /> `llama stack run --image-type venv /Users/charliedoern/projects/Documents/llama-stack/venv-run.yaml` <img width="1149" alt="Screenshot 2025-03-20 at 9 35 19 AM" src="https://github.com/user-attachments/assets/433765f3-6b7f-4383-9241-dad085b69228" /> --------- Signed-off-by: Charlie Doern <cdoern@redhat.com> Signed-off-by: Sébastien Han <seb@redhat.com> Co-authored-by: Sébastien Han <seb@redhat.com>
90 lines
3.4 KiB
Python
90 lines
3.4 KiB
Python
# 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 textwrap
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from llama_stack.cli.stack.utils import ImageType
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from llama_stack.cli.subcommand import Subcommand
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class StackBuild(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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"build",
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prog="llama stack build",
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description="Build a Llama stack container",
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formatter_class=argparse.ArgumentDefaultsHelpFormatter,
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)
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self._add_arguments()
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self.parser.set_defaults(func=self._run_stack_build_command)
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def _add_arguments(self):
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self.parser.add_argument(
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"--config",
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type=str,
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default=None,
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help="Path to a config file to use for the build. You can find example configs in llama_stack/distributions/**/build.yaml. If this argument is not provided, you will be prompted to enter information interactively",
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)
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self.parser.add_argument(
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"--template",
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type=str,
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default=None,
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help="Name of the example template config to use for build. You may use `llama stack build --list-templates` to check out the available templates",
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)
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self.parser.add_argument(
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"--list-templates",
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action="store_true",
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default=False,
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help="Show the available templates for building a Llama Stack distribution",
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)
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self.parser.add_argument(
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"--image-type",
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type=str,
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help="Image Type to use for the build. If not specified, will use the image type from the template config.",
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choices=[e.value for e in ImageType],
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default=ImageType.CONDA.value,
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)
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self.parser.add_argument(
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"--image-name",
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type=str,
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help=textwrap.dedent(
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f"""[for image-type={"|".join(e.value for e in ImageType)}] Name of the conda or virtual environment to use for
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the build. If not specified, currently active environment will be used if found.
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"""
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),
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default=None,
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)
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self.parser.add_argument(
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"--print-deps-only",
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default=False,
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action="store_true",
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help="Print the dependencies for the stack only, without building the stack",
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)
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self.parser.add_argument(
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"--run",
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action="store_true",
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default=False,
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help="Run the stack after building using the same image type, name, and other applicable arguments",
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)
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self.parser.add_argument(
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"--providers",
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type=str,
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default=None,
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help="Build a config for a list of providers and only those providers. This list is formatted like: api1=provider1,api2=provider2. Where there can be multiple providers per API.",
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)
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def _run_stack_build_command(self, args: argparse.Namespace) -> None:
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# always keep implementation completely silo-ed away from CLI so CLI
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# can be fast to load and reduces dependencies
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from ._build import run_stack_build_command
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return run_stack_build_command(args)
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