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When running with dockers, the idea is that users be able to work purely with the `llama stack` CLI. They should not need to know about the existence of any YAMLs unless they need to. This PR enables it. The docker command now doesn't need to volume mount a yaml and can simply be: ```bash docker run -v ~/.llama/:/root/.llama \ --env A=a --env B=b ``` ## Test Plan Check with conda first (no regressions): ```bash LLAMA_STACK_DIR=. llama stack build --template ollama llama stack run ollama --port 5001 # server starts up correctly ``` Check with docker ```bash # build the docker LLAMA_STACK_DIR=. llama stack build --template ollama --image-type docker export INFERENCE_MODEL="meta-llama/Llama-3.2-3B-Instruct" docker run -it -p 5001:5001 \ -v ~/.llama:/root/.llama \ -v $PWD:/app/llama-stack-source \ localhost/distribution-ollama:dev \ --port 5001 \ --env INFERENCE_MODEL=$INFERENCE_MODEL \ --env OLLAMA_URL=http://host.docker.internal:11434 ``` Note that volume mounting to `/app/llama-stack-source` is only needed because we built the docker with uncommitted source code.
140 lines
4.9 KiB
Python
140 lines
4.9 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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from pathlib import Path
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from llama_stack.cli.subcommand import Subcommand
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REPO_ROOT = Path(__file__).parent.parent.parent.parent
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class StackRun(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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"run",
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prog="llama stack run",
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description="""start the server for a Llama Stack Distribution. You should have already built (or downloaded) and configured the 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_stack_run_cmd)
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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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help="Path to config file to use for the run",
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)
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self.parser.add_argument(
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"--port",
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type=int,
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help="Port to run the server on. Defaults to 5000",
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default=5000,
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)
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self.parser.add_argument(
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"--disable-ipv6",
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action="store_true",
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help="Disable IPv6 support",
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default=False,
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)
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self.parser.add_argument(
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"--env",
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action="append",
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help="Environment variables to pass to the server in KEY=VALUE format. Can be specified multiple times.",
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default=[],
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metavar="KEY=VALUE",
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)
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def _run_stack_run_cmd(self, args: argparse.Namespace) -> None:
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import pkg_resources
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import yaml
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from llama_stack.distribution.build import ImageType
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from llama_stack.distribution.configure import parse_and_maybe_upgrade_config
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from llama_stack.distribution.utils.config_dirs import (
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BUILDS_BASE_DIR,
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DISTRIBS_BASE_DIR,
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)
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from llama_stack.distribution.utils.exec import run_with_pty
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if not args.config:
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self.parser.error("Must specify a config file to run")
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return
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config_file = Path(args.config)
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has_yaml_suffix = args.config.endswith(".yaml")
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if not config_file.exists() and not has_yaml_suffix:
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# check if this is a template
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config_file = (
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Path(REPO_ROOT) / "llama_stack" / "templates" / args.config / "run.yaml"
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)
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if not config_file.exists() and not has_yaml_suffix:
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# check if it's a build config saved to conda dir
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config_file = Path(
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BUILDS_BASE_DIR / ImageType.conda.value / f"{args.config}-run.yaml"
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)
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if not config_file.exists() and not has_yaml_suffix:
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# check if it's a build config saved to docker dir
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config_file = Path(
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BUILDS_BASE_DIR / ImageType.docker.value / f"{args.config}-run.yaml"
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)
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if not config_file.exists() and not has_yaml_suffix:
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# check if it's a build config saved to ~/.llama dir
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config_file = Path(
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DISTRIBS_BASE_DIR
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/ f"llamastack-{args.config}"
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/ f"{args.config}-run.yaml"
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)
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if not config_file.exists():
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self.parser.error(
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f"File {str(config_file)} does not exist. Please run `llama stack build` to generate (and optionally edit) a run.yaml file"
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)
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return
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print(f"Using config file: {config_file}")
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config_dict = yaml.safe_load(config_file.read_text())
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config = parse_and_maybe_upgrade_config(config_dict)
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if config.docker_image:
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script = pkg_resources.resource_filename(
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"llama_stack",
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"distribution/start_container.sh",
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)
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run_args = [script, config.docker_image]
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else:
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script = pkg_resources.resource_filename(
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"llama_stack",
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"distribution/start_conda_env.sh",
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)
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run_args = [
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script,
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config.conda_env,
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]
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run_args.extend([str(config_file), str(args.port)])
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if args.disable_ipv6:
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run_args.append("--disable-ipv6")
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for env_var in args.env:
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if "=" not in env_var:
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self.parser.error(
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f"Environment variable '{env_var}' must be in KEY=VALUE format"
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)
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return
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key, value = env_var.split("=", 1) # split on first = only
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if not key:
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self.parser.error(f"Environment variable '{env_var}' has empty key")
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return
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run_args.extend(["--env", f"{key}={value}"])
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run_with_pty(run_args)
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