mirror of
https://github.com/meta-llama/llama-stack.git
synced 2025-07-29 07:14:20 +00:00
llama distribution -> llama stack + containers (WIP)
This commit is contained in:
parent
45987996c4
commit
fd3b65b718
16 changed files with 204 additions and 80 deletions
|
@ -47,7 +47,7 @@ def get_dependencies(
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return Dependencies(
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docker_image=provider.docker_image,
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pip_packages=pip_packages + SERVER_DEPENDENCIES
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pip_packages=pip_packages + SERVER_DEPENDENCIES,
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)
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@ -161,18 +161,29 @@ class ApiBuild(Subcommand):
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},
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**provider_deps,
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}
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with open(package_file, "w") as f:
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# properly handle the case where package exists but has
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# inconsistent configuration for the providers. if possible,
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# we don't want to overwrite the existing configuration.
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if package_file.exists():
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cprint(
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f"Build `{package_name}` exists; will reconfigure",
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color="yellow",
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)
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c = PackageConfig(**yaml.safe_load(package_file.read_text()))
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else:
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c = PackageConfig(
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built_at=datetime.now(),
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package_name=package_name,
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docker_image=(
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package_name if args.type == BuildType.container.value else None
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),
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conda_env=(
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package_name if args.type == BuildType.conda_env.value else None
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),
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providers=stub_config,
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)
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c.docker_image = (
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package_name if args.type == BuildType.container.value else None
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)
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c.conda_env = package_name if args.type == BuildType.conda_env.value else None
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with open(package_file, "w") as f:
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to_write = json.loads(json.dumps(c.dict(), cls=EnumEncoder))
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f.write(yaml.dump(to_write, sort_keys=False))
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@ -89,7 +89,7 @@ def configure_llama_provider(config_file: Path) -> None:
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try:
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existing_provider_config = config_type(**stub_config)
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except KeyError:
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except Exception:
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existing_provider_config = None
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provider_config = prompt_for_config(
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@ -75,7 +75,7 @@ class ApiStart(Subcommand):
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config.conda_env,
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]
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run_args.extend(["--yaml_config", str(config_file), "--port", str(args.port)])
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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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@ -7,9 +7,9 @@
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import argparse
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from .api import ApiParser
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from .distribution import DistributionParser
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from .download import Download
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from .model import ModelParser
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from .stack import StackParser
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class LlamaCLIParser:
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@ -30,8 +30,8 @@ class LlamaCLIParser:
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# Add sub-commands
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Download.create(subparsers)
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ModelParser.create(subparsers)
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DistributionParser.create(subparsers)
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ApiParser.create(subparsers)
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StackParser.create(subparsers)
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# Import sub-commands from agentic_system if they exist
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try:
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@ -4,4 +4,4 @@
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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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from .stack import StackParser # noqa
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@ -9,13 +9,13 @@ import json
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import shlex
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import yaml
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from termcolor import cprint
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from llama_toolchain.cli.subcommand import Subcommand
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from llama_toolchain.common.config_dirs import DISTRIBS_BASE_DIR
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from termcolor import cprint
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class DistributionConfigure(Subcommand):
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class StackConfigure(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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@ -38,7 +38,7 @@ class DistributionConfigure(Subcommand):
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)
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def _run_distribution_configure_cmd(self, args: argparse.Namespace) -> None:
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from llama_toolchain.distribution.datatypes import DistributionConfig
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from llama_toolchain.distribution.datatypes import StackConfig
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from llama_toolchain.distribution.registry import resolve_distribution_spec
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config_file = DISTRIBS_BASE_DIR / args.name / "config.yaml"
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@ -50,7 +50,7 @@ class DistributionConfigure(Subcommand):
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# we need to find the spec from the name
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with open(config_file, "r") as f:
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config = DistributionConfig(**yaml.safe_load(f))
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config = StackConfig(**yaml.safe_load(f))
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dist = resolve_distribution_spec(config.spec)
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if dist is None:
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@ -59,7 +59,7 @@ class DistributionConfigure(Subcommand):
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configure_llama_distribution(dist, config)
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def configure_llama_distribution(dist: "Distribution", config: "DistributionConfig"):
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def configure_llama_distribution(dist: "Stack", config: "StackConfig"):
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from llama_toolchain.common.exec import run_command
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from llama_toolchain.common.prompt_for_config import prompt_for_config
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from llama_toolchain.common.serialize import EnumEncoder
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@ -9,7 +9,7 @@ import argparse
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from llama_toolchain.cli.subcommand import Subcommand
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class DistributionCreate(Subcommand):
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class StackCreate(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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@ -37,7 +37,7 @@ class DistributionCreate(Subcommand):
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dist = resolve_distribution_spec(args.name)
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if dist is not None:
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self.parser.error(f"Distribution with name {args.name} already exists")
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self.parser.error(f"Stack with name {args.name} already exists")
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return
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raise NotImplementedError()
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@ -10,13 +10,13 @@ import os
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import pkg_resources
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import yaml
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from termcolor import cprint
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from llama_toolchain.cli.subcommand import Subcommand
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from llama_toolchain.common.config_dirs import DISTRIBS_BASE_DIR
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from termcolor import cprint
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class DistributionInstall(Subcommand):
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class StackInstall(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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@ -36,7 +36,7 @@ class DistributionInstall(Subcommand):
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self.parser.add_argument(
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"--spec",
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type=str,
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help="Distribution spec to install (try local-ollama)",
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help="Stack spec to install (try local-ollama)",
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required=True,
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choices=[d.spec_id for d in available_distribution_specs()],
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)
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@ -54,7 +54,7 @@ class DistributionInstall(Subcommand):
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def _run_distribution_install_cmd(self, args: argparse.Namespace) -> None:
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from llama_toolchain.common.exec import run_with_pty
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from llama_toolchain.distribution.datatypes import DistributionConfig
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from llama_toolchain.distribution.datatypes import StackConfig
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from llama_toolchain.distribution.distribution import distribution_dependencies
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from llama_toolchain.distribution.registry import resolve_distribution_spec
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@ -80,7 +80,7 @@ class DistributionInstall(Subcommand):
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config_file = distrib_dir / "config.yaml"
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if config_file.exists():
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c = DistributionConfig(**yaml.safe_load(config_file.read_text()))
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c = StackConfig(**yaml.safe_load(config_file.read_text()))
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if c.spec != dist.spec_id:
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self.parser.error(
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f"already installed distribution with `spec={c.spec}` does not match provided spec `{args.spec}`"
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@ -93,7 +93,7 @@ class DistributionInstall(Subcommand):
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return
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else:
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with open(config_file, "w") as f:
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c = DistributionConfig(
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c = StackConfig(
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spec=dist.spec_id,
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name=args.name,
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conda_env=conda_env,
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@ -106,6 +106,6 @@ class DistributionInstall(Subcommand):
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f"Failed to install distribution {dist.spec_id}", color="red"
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)
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cprint(
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f"Distribution `{args.name}` (with spec {dist.spec_id}) has been installed successfully!",
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f"Stack `{args.name}` (with spec {dist.spec_id}) has been installed successfully!",
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color="green",
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)
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@ -10,7 +10,7 @@ import json
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from llama_toolchain.cli.subcommand import Subcommand
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class DistributionList(Subcommand):
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class StackList(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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@ -8,14 +8,14 @@ import argparse
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from llama_toolchain.cli.subcommand import Subcommand
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from .configure import DistributionConfigure
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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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from .start import DistributionStart
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from .configure import StackConfigure
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from .create import StackCreate
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from .install import StackInstall
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from .list import StackList
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from .start import StackStart
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class DistributionParser(Subcommand):
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class StackParser(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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@ -27,8 +27,8 @@ class DistributionParser(Subcommand):
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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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DistributionConfigure.create(subparsers)
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DistributionStart.create(subparsers)
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StackList.create(subparsers)
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StackInstall.create(subparsers)
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StackCreate.create(subparsers)
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StackConfigure.create(subparsers)
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StackStart.create(subparsers)
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@ -13,7 +13,7 @@ from llama_toolchain.cli.subcommand import Subcommand
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from llama_toolchain.common.config_dirs import DISTRIBS_BASE_DIR
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class DistributionStart(Subcommand):
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class StackStart(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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@ -47,25 +47,25 @@ ensure_conda_env_python310() {
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# Check if conda command is available
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if ! command -v conda &>/dev/null; then
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echo -e "${RED}Error: conda command not found. Is Conda installed and in your PATH?${NC}" >&2
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printf "${RED}Error: conda command not found. Is Conda installed and in your PATH?${NC}" >&2
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exit 1
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fi
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# Check if the environment exists
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if conda env list | grep -q "^${env_name} "; then
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echo "Conda environment '${env_name}' exists. Checking Python version..."
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printf "Conda environment '${env_name}' exists. Checking Python version..."
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# Check Python version in the environment
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current_version=$(conda run -n "${env_name}" python --version 2>&1 | cut -d' ' -f2 | cut -d'.' -f1,2)
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if [ "$current_version" = "$python_version" ]; then
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echo "Environment '${env_name}' already has Python ${python_version}. No action needed."
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printf "Environment '${env_name}' already has Python ${python_version}. No action needed."
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else
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echo "Updating environment '${env_name}' to Python ${python_version}..."
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printf "Updating environment '${env_name}' to Python ${python_version}..."
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conda install -n "${env_name}" python="${python_version}" -y
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fi
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else
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echo "Conda environment '${env_name}' does not exist. Creating with Python ${python_version}..."
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printf "Conda environment '${env_name}' does not exist. Creating with Python ${python_version}..."
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conda create -n "${env_name}" python="${python_version}" -y
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ENVNAME="${env_name}"
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@ -83,11 +83,11 @@ ensure_conda_env_python310() {
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# Re-installing llama-toolchain in the new conda environment
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if [ -n "$LLAMA_TOOLCHAIN_DIR" ]; then
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if [ ! -d "$LLAMA_TOOLCHAIN_DIR" ]; then
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echo -e "${RED}Warning: LLAMA_TOOLCHAIN_DIR is set but directory does not exist: $LLAMA_TOOLCHAIN_DIR${NC}" >&2
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printf "${RED}Warning: LLAMA_TOOLCHAIN_DIR is set but directory does not exist: $LLAMA_TOOLCHAIN_DIR${NC}" >&2
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exit 1
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fi
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echo "Installing from LLAMA_TOOLCHAIN_DIR: $LLAMA_TOOLCHAIN_DIR"
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printf "Installing from LLAMA_TOOLCHAIN_DIR: $LLAMA_TOOLCHAIN_DIR"
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pip install --no-cache-dir -e "$LLAMA_TOOLCHAIN_DIR"
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else
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pip install --no-cache-dir llama-toolchain
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@ -95,18 +95,18 @@ ensure_conda_env_python310() {
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if [ -n "$LLAMA_MODELS_DIR" ]; then
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if [ ! -d "$LLAMA_MODELS_DIR" ]; then
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echo -e "${RED}Warning: LLAMA_MODELS_DIR is set but directory does not exist: $LLAMA_MODELS_DIR${NC}" >&2
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printf "${RED}Warning: LLAMA_MODELS_DIR is set but directory does not exist: $LLAMA_MODELS_DIR${NC}" >&2
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exit 1
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fi
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echo "Installing from LLAMA_MODELS_DIR: $LLAMA_MODELS_DIR"
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printf "Installing from LLAMA_MODELS_DIR: $LLAMA_MODELS_DIR"
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pip uninstall -y llama-models
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pip install --no-cache-dir -e "$LLAMA_MODELS_DIR"
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fi
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# Install pip dependencies
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if [ -n "$pip_dependencies" ]; then
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echo "Installing pip dependencies: $pip_dependencies"
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printf "Installing pip dependencies: $pip_dependencies"
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pip install $pip_dependencies
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fi
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fi
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@ -114,6 +114,6 @@ ensure_conda_env_python310() {
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ensure_conda_env_python310 "$env_name" "$pip_dependencies"
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echo -e "${GREEN}Successfully setup conda environment. Configuring build...${NC}"
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printf "${GREEN}Successfully setup conda environment. Configuring build...${NC}"
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$CONDA_PREFIX/bin/python3 -m llama_toolchain.cli.llama api configure "$api_or_stack" --name "$env_name"
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@ -1,44 +1,113 @@
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#!/bin/bash
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if [ "$#" -ne 3 ]; then
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echo "Usage: $0 <image_name> <base_image> <pip_dependencies>
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echo "Example: $0 my-fastapi-app python:3.9-slim 'fastapi uvicorn'
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LLAMA_MODELS_DIR=${LLAMA_MODELS_DIR:-}
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LLAMA_TOOLCHAIN_DIR=${LLAMA_TOOLCHAIN_DIR:-}
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TEST_PYPI_VERSION=${TEST_PYPI_VERSION:-}
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if [ "$#" -ne 4 ]; then
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echo "Usage: $0 [api|stack] <image_name> <docker_base> <pip_dependencies>
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echo "Example: $0 agentic_system my-fastapi-app python:3.9-slim 'fastapi uvicorn'
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exit 1
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fi
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IMAGE_NAME=$1
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BASE_IMAGE=$2
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PIP_DEPENDENCIES=$3
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api_or_stack=$1
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image_name=$2
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docker_base=$3
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pip_dependencies=$4
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# Define color codes
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RED='\033[0;31m'
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GREEN='\033[0;32m'
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NC='\033[0m' # No Color
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set -euo pipefail
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PORT=8001
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SCRIPT_DIR=$(dirname "$(readlink -f "$0")")
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SOURCE_DIR=$(dirname $(dirname $(dirname "$SCRIPT_DIR")))
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echo $SOURCE_DIR
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REPO_DIR=$(dirname $(dirname "$SCRIPT_DIR"))
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TEMP_DIR=$(mktemp -d)
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echo "Created temporary directory: $TEMP_DIR"
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cat <<EOF >"$TEMP_DIR/Dockerfile"
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FROM $BASE_IMAGE
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add_to_docker() {
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local input
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output_file="$TEMP_DIR/Dockerfile"
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if [ -t 0 ]; then
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printf '%s\n' "$1" >> "$output_file"
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else
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# If stdin is not a terminal, read from it (heredoc)
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cat >> "$output_file"
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fi
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}
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add_to_docker <<EOF
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FROM $docker_base
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WORKDIR /app
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COPY llama-stack/llama_toolchain /app/llama_toolchain
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COPY llama-models/models /app/llama_models
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RUN pip install $PIP_DEPENDENCIES
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EXPOSE $PORT
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ENTRYPOINT ["python3", "-m", "llama_toolchain.distribution.server", "--port", "$PORT"]
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RUN apt-get update && apt-get install -y \
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iputils-ping net-tools iproute2 dnsutils telnet \
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curl wget telnet \
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procps psmisc lsof \
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traceroute \
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&& rm -rf /var/lib/apt/lists/*
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EOF
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echo "Dockerfile created successfully in $TEMP_DIR/Dockerfile"
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toolchain_mount="/app/llama-toolchain-source"
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models_mount="/app/llama-models-source"
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podman build -t $IMAGE_NAME -f "$TEMP_DIR/Dockerfile" "$SOURCE_DIR"
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if [ -n "$LLAMA_TOOLCHAIN_DIR" ]; then
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if [ ! -d "$LLAMA_TOOLCHAIN_DIR" ]; then
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echo "${RED}Warning: LLAMA_TOOLCHAIN_DIR is set but directory does not exist: $LLAMA_TOOLCHAIN_DIR${NC}" >&2
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exit 1
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fi
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add_to_docker "RUN pip install $toolchain_mount"
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else
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add_to_docker "RUN pip install llama-toolchain"
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fi
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echo "Podman image '$IMAGE_NAME' built successfully."
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echo "You can run it with: podman run -p 8000:8000 $IMAGE_NAME"
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if [ -n "$LLAMA_MODELS_DIR" ]; then
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if [ ! -d "$LLAMA_MODELS_DIR" ]; then
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echo "${RED}Warning: LLAMA_MODELS_DIR is set but directory does not exist: $LLAMA_MODELS_DIR${NC}" >&2
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exit 1
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fi
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rm -rf "$TEMP_DIR"
|
||||
add_to_docker <<EOF
|
||||
RUN pip uninstall -y llama-models
|
||||
RUN pip install $models_mount
|
||||
|
||||
EOF
|
||||
fi
|
||||
|
||||
if [ -n "$pip_dependencies" ]; then
|
||||
add_to_docker "RUN pip install $pip_dependencies"
|
||||
fi
|
||||
|
||||
add_to_docker <<EOF
|
||||
|
||||
# This would be good in production but for debugging flexibility lets not add it right now
|
||||
# We need a more solid production ready entrypoint.sh anyway
|
||||
#
|
||||
# ENTRYPOINT ["python", "-m", "llama_toolchain.distribution.server"]
|
||||
|
||||
EOF
|
||||
|
||||
printf "Dockerfile created successfully in $TEMP_DIR/Dockerfile"
|
||||
cat $TEMP_DIR/Dockerfile
|
||||
printf "\n"
|
||||
|
||||
mounts=""
|
||||
if [ -n "$LLAMA_TOOLCHAIN_DIR" ]; then
|
||||
mounts="$mounts -v $(readlink -f $LLAMA_TOOLCHAIN_DIR):$toolchain_mount"
|
||||
fi
|
||||
if [ -n "$LLAMA_MODELS_DIR" ]; then
|
||||
mounts="$mounts -v $(readlink -f $LLAMA_MODELS_DIR):$models_mount"
|
||||
fi
|
||||
set -x
|
||||
podman build -t $image_name -f "$TEMP_DIR/Dockerfile" "$REPO_DIR" $mounts
|
||||
set +x
|
||||
|
||||
printf "${GREEN}Succesfully setup Podman image. Configuring build...${NC}"
|
||||
echo "You can run it with: podman run -p 8000:8000 $image_name"
|
||||
|
||||
$CONDA_PREFIX/bin/python3 -m llama_toolchain.cli.llama api configure "$api_or_stack" --name "$image_name"
|
||||
|
|
|
@ -115,6 +115,10 @@ as being "Llama Stack compatible"
|
|||
""",
|
||||
)
|
||||
|
||||
@property
|
||||
def docker_image(self) -> Optional[str]:
|
||||
return None
|
||||
|
||||
@property
|
||||
def module(self) -> str:
|
||||
if self.adapter:
|
||||
|
|
|
@ -18,15 +18,24 @@ error_handler() {
|
|||
|
||||
trap 'error_handler ${LINENO}' ERR
|
||||
|
||||
if [ $# -lt 2 ]; then
|
||||
echo "Usage: $0 <environment_name> <script_args...>"
|
||||
if [ $# -lt 3 ]; then
|
||||
echo "Usage: $0 <env_name> <yaml_config> <port> <script_args...>"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
env_name="$1"
|
||||
shift
|
||||
|
||||
yaml_config="$1"
|
||||
shift
|
||||
|
||||
port="$1"
|
||||
shift
|
||||
|
||||
eval "$(conda shell.bash hook)"
|
||||
conda deactivate && conda activate "$env_name"
|
||||
|
||||
$CONDA_PREFIX/bin/python -m llama_toolchain.distribution.server "$@"
|
||||
$CONDA_PREFIX/bin/python \
|
||||
-m llama_toolchain.distribution.server \
|
||||
--yaml_config "$yaml_config" \
|
||||
--port "$port" "$@"
|
||||
|
|
|
@ -8,4 +8,35 @@
|
|||
|
||||
set -euo pipefail
|
||||
|
||||
podman run -it -p 8001:8001 -v ~/.llama/test.yaml:/app/test.yaml test-image --yaml_config /app/test.yaml --disable-ipv6
|
||||
RED='\033[0;31m'
|
||||
NC='\033[0m' # No Color
|
||||
|
||||
error_handler() {
|
||||
echo "Error occurred in script at line: ${1}" >&2
|
||||
exit 1
|
||||
}
|
||||
|
||||
trap 'error_handler ${LINENO}' ERR
|
||||
|
||||
if [ $# -lt 3 ]; then
|
||||
echo "Usage: $0 <docker_image> <yaml_config> <port> <other_args...>"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
docker_image="$1"
|
||||
shift
|
||||
|
||||
yaml_config="$1"
|
||||
shift
|
||||
|
||||
port="$1"
|
||||
shift
|
||||
|
||||
set -x
|
||||
podman run -it \
|
||||
-p $port:$port \
|
||||
-v "$yaml_config:/app/config.yaml" \
|
||||
$docker_image \
|
||||
python -m llama_toolchain.distribution.server \
|
||||
--yaml_config /app/config.yaml \
|
||||
--port $port "$@"
|
||||
|
|
Loading…
Add table
Add a link
Reference in a new issue