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https://github.com/meta-llama/llama-stack.git
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314ee09ae3
llama-models should have extremely minimal cruft. Its sole purpose should be didactic -- show the simplest implementation of the llama models and document the prompt formats, etc. This PR is the complement to https://github.com/meta-llama/llama-models/pull/279 ## Test Plan Ensure all `llama` CLI `model` sub-commands work: ```bash llama model list llama model download --model-id ... llama model prompt-format -m ... ``` Ran tests: ```bash cd tests/client-sdk LLAMA_STACK_CONFIG=fireworks pytest -s -v inference/ LLAMA_STACK_CONFIG=fireworks pytest -s -v vector_io/ LLAMA_STACK_CONFIG=fireworks pytest -s -v agents/ ``` Create a fresh venv `uv venv && source .venv/bin/activate` and run `llama stack build --template fireworks --image-type venv` followed by `llama stack run together --image-type venv` <-- the server runs Also checked that the OpenAPI generator can run and there is no change in the generated files as a result. ```bash cd docs/openapi_generator sh run_openapi_generator.sh ```
40 lines
1.2 KiB
Python
40 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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"""
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Type-safe data interchange for Python data classes.
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:see: https://github.com/hunyadi/strong_typing
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"""
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import keyword
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from typing import Optional
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from .auxiliary import Alias
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from .inspection import get_annotation
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def python_field_to_json_property(python_id: str, python_type: Optional[object] = None) -> str:
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"""
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Map a Python field identifier to a JSON property name.
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Authors may use an underscore appended at the end of a Python identifier as per PEP 8 if it clashes with a Python
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keyword: e.g. `in` would become `in_` and `from` would become `from_`. Remove these suffixes when exporting to JSON.
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Authors may supply an explicit alias with the type annotation `Alias`, e.g. `Annotated[MyType, Alias("alias")]`.
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"""
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if python_type is not None:
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alias = get_annotation(python_type, Alias)
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if alias:
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return alias.name
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if python_id.endswith("_"):
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id = python_id[:-1]
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if keyword.iskeyword(id):
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return id
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return python_id
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