forked from phoenix-oss/llama-stack-mirror
9487ad8294
* 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>
60 lines
1.7 KiB
Python
60 lines
1.7 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 llama_models.sku_list import all_registered_models
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from llama_stack.cli.subcommand import Subcommand
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from llama_stack.cli.table import print_table
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class ModelList(Subcommand):
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"""List available llama models"""
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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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"list",
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prog="llama model list",
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description="Show available llama models",
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formatter_class=argparse.RawTextHelpFormatter,
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)
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self._add_arguments()
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self.parser.set_defaults(func=self._run_model_list_cmd)
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def _add_arguments(self):
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self.parser.add_argument(
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"--show-all",
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action="store_true",
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help="Show all models (not just defaults)",
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)
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def _run_model_list_cmd(self, args: argparse.Namespace) -> None:
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headers = [
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"Model Descriptor",
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"HuggingFace Repo",
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"Context Length",
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]
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rows = []
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for model in all_registered_models():
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if not args.show_all and not model.is_featured:
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continue
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descriptor = model.descriptor()
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rows.append(
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[
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descriptor,
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model.huggingface_repo,
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f"{model.max_seq_length // 1024}K",
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]
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)
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print_table(
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rows,
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headers,
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separate_rows=True,
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)
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