llama-stack/llama_toolchain/cli/distribution/install.py
Ashwin Bharambe e830814399
Introduce Llama stack distributions (#22)
* 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>
2024-08-08 13:38:41 -07:00

111 lines
4 KiB
Python

# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
import argparse
import os
import pkg_resources
import yaml
from termcolor import cprint
from llama_toolchain.cli.subcommand import Subcommand
from llama_toolchain.common.config_dirs import DISTRIBS_BASE_DIR
class DistributionInstall(Subcommand):
"""Llama cli for configuring llama toolchain configs"""
def __init__(self, subparsers: argparse._SubParsersAction):
super().__init__()
self.parser = subparsers.add_parser(
"install",
prog="llama distribution install",
description="Install a llama stack distribution",
formatter_class=argparse.RawTextHelpFormatter,
)
self._add_arguments()
self.parser.set_defaults(func=self._run_distribution_install_cmd)
def _add_arguments(self):
from llama_toolchain.distribution.registry import available_distribution_specs
self.parser.add_argument(
"--spec",
type=str,
help="Distribution spec to install (try ollama-inline)",
required=True,
choices=[d.spec_id for d in available_distribution_specs()],
)
self.parser.add_argument(
"--name",
type=str,
help="What should the installation be called locally?",
required=True,
)
self.parser.add_argument(
"--conda-env",
type=str,
help="conda env in which this distribution will run (default = distribution name)",
)
def _run_distribution_install_cmd(self, args: argparse.Namespace) -> None:
from llama_toolchain.common.exec import run_with_pty
from llama_toolchain.distribution.datatypes import DistributionConfig
from llama_toolchain.distribution.distribution import distribution_dependencies
from llama_toolchain.distribution.registry import resolve_distribution_spec
os.makedirs(DISTRIBS_BASE_DIR, exist_ok=True)
script = pkg_resources.resource_filename(
"llama_toolchain",
"distribution/install_distribution.sh",
)
dist = resolve_distribution_spec(args.spec)
if dist is None:
self.parser.error(f"Could not find distribution {args.spec}")
return
distrib_dir = DISTRIBS_BASE_DIR / args.name
os.makedirs(distrib_dir, exist_ok=True)
deps = distribution_dependencies(dist)
if not args.conda_env:
print(f"Using {args.name} as the Conda environment for this distribution")
conda_env = args.conda_env or args.name
config_file = distrib_dir / "config.yaml"
if config_file.exists():
c = DistributionConfig(**yaml.safe_load(config_file.read_text()))
if c.spec != dist.spec_id:
self.parser.error(
f"already installed distribution with `spec={c.spec}` does not match provided spec `{args.spec}`"
)
return
if c.conda_env != conda_env:
self.parser.error(
f"already installed distribution has `conda_env={c.conda_env}` different from provided conda env `{conda_env}`"
)
return
else:
with open(config_file, "w") as f:
c = DistributionConfig(
spec=dist.spec_id,
name=args.name,
conda_env=conda_env,
)
f.write(yaml.dump(c.dict(), sort_keys=False))
return_code = run_with_pty([script, conda_env, args.name, " ".join(deps)])
assert return_code == 0, cprint(
f"Failed to install distribution {dist.spec_id}", color="red"
)
cprint(
f"Distribution `{args.name}` (with spec {dist.spec_id}) has been installed successfully!",
color="green",
)