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https://github.com/meta-llama/llama-stack.git
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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>
45 lines
1.4 KiB
Python
45 lines
1.4 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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from typing import Dict
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from llama_models.llama3.api.datatypes import ToolParamDefinition
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from llama_stack.tools.custom.datatypes import SingleMessageCustomTool
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class GetBoilingPointTool(SingleMessageCustomTool):
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"""Tool to give boiling point of a liquid
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Returns the correct value for water in Celcius and Fahrenheit
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and returns -1 for other liquids
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"""
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def get_name(self) -> str:
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return "get_boiling_point"
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def get_description(self) -> str:
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return "Get the boiling point of a imaginary liquids (eg. polyjuice)"
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def get_params_definition(self) -> Dict[str, ToolParamDefinition]:
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return {
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"liquid_name": ToolParamDefinition(
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param_type="string", description="The name of the liquid", required=True
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),
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"celcius": ToolParamDefinition(
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param_type="boolean",
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description="Whether to return the boiling point in Celcius",
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required=False,
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),
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}
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async def run_impl(self, liquid_name: str, celcius: bool = True) -> int:
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if liquid_name.lower() == "polyjuice":
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if celcius:
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return -100
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else:
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return -212
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else:
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return -1
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