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https://github.com/meta-llama/llama-stack.git
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Fixes multiple issues 1. llama stack build of dependencies was breaking with incompatible numpy / pandas when importing datasets Moved the notebook to start a local server instead of using library as a client. This way the setup is cleaner since its all contained and by using `uv run --with` we can test both the server setup process too in CI and release time. 2. The change to [1] surfaced some other issues - running `llama stack run` was defaulting to conda env name - provider data was not being managed properly - Some notebook cells (telemetry for evals) were not updated with latest changes Fixed all the issues and update the notebook. ### Test 1. Manually run it all in local env 2. `pytest -v -s --nbval-lax docs/getting_started.ipynb`
139 lines
5.3 KiB
Python
139 lines
5.3 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 os
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from pathlib import Path
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from llama_stack.cli.subcommand import Subcommand
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from llama_stack.log import get_logger
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REPO_ROOT = Path(__file__).parent.parent.parent.parent
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logger = get_logger(name=__name__, category="server")
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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.ArgumentDefaultsHelpFormatter,
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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. It can also be passed via the env var LLAMA_STACK_PORT.",
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default=int(os.getenv("LLAMA_STACK_PORT", 8321)),
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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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default=None,
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help="Name of the image to run. Defaults to the current conda environment",
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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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self.parser.add_argument(
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"--tls-keyfile",
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type=str,
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help="Path to TLS key file for HTTPS",
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)
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self.parser.add_argument(
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"--tls-certfile",
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type=str,
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help="Path to TLS certificate file for HTTPS",
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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 used during the build. This can be either conda or container or venv.",
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choices=["conda", "container", "venv"],
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default="conda",
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)
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def _run_stack_run_cmd(self, args: argparse.Namespace) -> None:
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import yaml
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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 DISTRIBS_BASE_DIR
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from llama_stack.distribution.utils.exec import formulate_run_args, run_command
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config_file = Path(args.config)
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has_yaml_suffix = args.config.endswith(".yaml")
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template_name = None
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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 = Path(REPO_ROOT) / "llama_stack" / "templates" / args.config / "run.yaml"
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if config_file.exists():
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template_name = args.config
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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(DISTRIBS_BASE_DIR / f"llamastack-{args.config}" / f"{args.config}-run.yaml")
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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.\n\nPlease run `llama stack build` to generate (and optionally edit) a run.yaml file"
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)
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if not config_file.is_file():
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self.parser.error(
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f"Config file must be a valid file path, '{config_file}’ is not a file: type={type(config_file)}"
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)
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logger.info(f"Using run configuration: {config_file}")
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try:
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config_dict = yaml.safe_load(config_file.read_text())
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except yaml.parser.ParserError as e:
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self.parser.error(f"failed to load config file '{config_file}':\n {e}")
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try:
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config = parse_and_maybe_upgrade_config(config_dict)
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except AttributeError as e:
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self.parser.error(f"failed to parse config file '{config_file}':\n {e}")
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run_args = formulate_run_args(args.image_type, args.image_name, config, template_name)
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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(f"Environment variable '{env_var}' must be in KEY=VALUE format")
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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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run_args.extend(["--env", f"{key}={value}"])
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if args.tls_keyfile and args.tls_certfile:
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run_args.extend(["--tls-keyfile", args.tls_keyfile, "--tls-certfile", args.tls_certfile])
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run_command(run_args)
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