forked from phoenix-oss/llama-stack-mirror
* API Keys passed from Client instead of distro configuration * delete distribution registry * Rename the "package" word away * Introduce a "Router" layer for providers Some providers need to be factorized and considered as thin routing layers on top of other providers. Consider two examples: - The inference API should be a routing layer over inference providers, routed using the "model" key - The memory banks API is another instance where various memory bank types will be provided by independent providers (e.g., a vector store is served by Chroma while a keyvalue memory can be served by Redis or PGVector) This commit introduces a generalized routing layer for this purpose. * update `apis_to_serve` * llama_toolchain -> llama_stack * Codemod from llama_toolchain -> llama_stack - added providers/registry - cleaned up api/ subdirectories and moved impls away - restructured api/api.py - from llama_stack.apis.<api> import foo should work now - update imports to do llama_stack.apis.<api> - update many other imports - added __init__, fixed some registry imports - updated registry imports - create_agentic_system -> create_agent - AgenticSystem -> Agent * Moved some stuff out of common/; re-generated OpenAPI spec * llama-toolchain -> llama-stack (hyphens) * add control plane API * add redis adapter + sqlite provider * move core -> distribution * Some more toolchain -> stack changes * small naming shenanigans * Removing custom tool and agent utilities and moving them client side * Move control plane to distribution server for now * Remove control plane from API list * no codeshield dependency randomly plzzzzz * Add "fire" as a dependency * add back event loggers * stack configure fixes * use brave instead of bing in the example client * add init file so it gets packaged * add init files so it gets packaged * Update MANIFEST * bug fix --------- Co-authored-by: Hardik Shah <hjshah@fb.com> Co-authored-by: Xi Yan <xiyan@meta.com> Co-authored-by: Ashwin Bharambe <ashwin@meta.com>
48 lines
1.2 KiB
Python
48 lines
1.2 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 .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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"""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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StackParser.create(subparsers)
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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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