mirror of
https://github.com/meta-llama/llama-stack.git
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e830814399
* Add distribution CLI scaffolding * More progress towards `llama distribution install` * getting closer to a distro definition, distro install + configure works * Distribution server now functioning * read existing configuration, save enums properly * Remove inference uvicorn server entrypoint and llama inference CLI command * updated dependency and client model name * Improved exception handling * local imports for faster cli * undo a typo, add a passthrough distribution * implement full-passthrough in the server * add safety adapters, configuration handling, server + clients * cleanup, moving stuff to common, nuke utils * Add a Path() wrapper at the earliest place * fixes * Bring agentic system api to toolchain Add adapter dependencies and resolve adapters using a topological sort * refactor to reduce size of `agentic_system` * move straggler files and fix some important existing bugs * ApiSurface -> Api * refactor a method out * Adapter -> Provider * Make each inference provider into its own subdirectory * installation fixes * Rename Distribution -> DistributionSpec, simplify RemoteProviders * dict key instead of attr * update inference config to take model and not model_dir * Fix passthrough streaming, send headers properly not part of body :facepalm * update safety to use model sku ids and not model dirs * Update cli_reference.md * minor fixes * add DistributionConfig, fix a bug in model download * Make install + start scripts do proper configuration automatically * Update CLI_reference * Nuke fp8_requirements, fold fbgemm into common requirements * Update README, add newline between API surface configurations * Refactor download functionality out of the Command so can be reused * Add `llama model download` alias for `llama download` * Show message about checksum file so users can check themselves * Simpler intro statements * get ollama working * Reduce a bunch of dependencies from toolchain Some improvements to the distribution install script * Avoid using `conda run` since it buffers everything * update dependencies and rely on LLAMA_TOOLCHAIN_DIR for dev purposes * add validation for configuration input * resort imports * make optional subclasses default to yes for configuration * Remove additional_pip_packages; move deps to providers * for inline make 8b model the default * Add scripts to MANIFEST * allow installing from test.pypi.org * Fix #2 to help with testing packages * Must install llama-models at that same version first * fix PIP_ARGS --------- Co-authored-by: Hardik Shah <hjshah@fb.com> Co-authored-by: Hardik Shah <hjshah@meta.com>
58 lines
1.5 KiB
Python
58 lines
1.5 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 .distribution import DistributionParser
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from .download import Download
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from .model import ModelParser
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class LlamaCLIParser:
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"""Defines CLI parser for Llama CLI"""
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def __init__(self):
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self.parser = argparse.ArgumentParser(
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prog="llama",
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description="Welcome to the Llama CLI",
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add_help=True,
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)
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# Default command is to print help
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self.parser.set_defaults(func=lambda args: self.parser.print_help())
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subparsers = self.parser.add_subparsers(title="subcommands")
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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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# Import sub-commands from agentic_system if they exist
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try:
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from llama_agentic_system.cli.subcommand_modules import SUBCOMMAND_MODULES
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for module in SUBCOMMAND_MODULES:
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module.create(subparsers)
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except ImportError:
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pass
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def parse_args(self) -> argparse.Namespace:
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return self.parser.parse_args()
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def run(self, args: argparse.Namespace) -> None:
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args.func(args)
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def main():
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parser = LlamaCLIParser()
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args = parser.parse_args()
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parser.run(args)
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if __name__ == "__main__":
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main()
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