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chore: refactor (chat)completions endpoints to use shared params struct (#3761)
# What does this PR do? Converts openai(_chat)_completions params to pydantic BaseModel to reduce code duplication across all providers. ## Test Plan CI --- [//]: # (BEGIN SAPLING FOOTER) Stack created with [Sapling](https://sapling-scm.com). Best reviewed with [ReviewStack](https://reviewstack.dev/llamastack/llama-stack/pull/3761). * #3777 * __->__ #3761
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33 changed files with 599 additions and 890 deletions
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@ -8,10 +8,11 @@ import json
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import typing
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import inspect
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from pathlib import Path
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from typing import TextIO
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from typing import Any, List, Optional, Union, get_type_hints, get_origin, get_args
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from typing import Any, List, Optional, TextIO, Union, get_type_hints, get_origin, get_args
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from pydantic import BaseModel
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from llama_stack.strong_typing.schema import object_to_json, StrictJsonType
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from llama_stack.strong_typing.inspection import is_unwrapped_body_param
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from llama_stack.core.resolver import api_protocol_map
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from .generator import Generator
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@ -205,6 +206,14 @@ def _validate_has_return_in_docstring(method) -> str | None:
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def _validate_has_params_in_docstring(method) -> str | None:
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source = inspect.getsource(method)
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sig = inspect.signature(method)
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params_list = [p for p in sig.parameters.values() if p.name != "self"]
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if len(params_list) == 1:
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param = params_list[0]
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param_type = param.annotation
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if is_unwrapped_body_param(param_type):
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return
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# Only check if the method has more than one parameter
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if len(sig.parameters) > 1 and ":param" not in source:
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return "does not have a ':param' in its docstring"
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