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









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[//]: # (BEGIN SAPLING FOOTER)
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* #3777
* __->__ #3761
This commit is contained in:
ehhuang 2025-10-10 15:46:34 -07:00 committed by GitHub
parent 6954fe2274
commit 80d58ab519
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33 changed files with 599 additions and 890 deletions

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@ -8,10 +8,11 @@ import json
import typing
import inspect
from pathlib import Path
from typing import TextIO
from typing import Any, List, Optional, Union, get_type_hints, get_origin, get_args
from typing import Any, List, Optional, TextIO, Union, get_type_hints, get_origin, get_args
from pydantic import BaseModel
from llama_stack.strong_typing.schema import object_to_json, StrictJsonType
from llama_stack.strong_typing.inspection import is_unwrapped_body_param
from llama_stack.core.resolver import api_protocol_map
from .generator import Generator
@ -205,6 +206,14 @@ def _validate_has_return_in_docstring(method) -> str | None:
def _validate_has_params_in_docstring(method) -> str | None:
source = inspect.getsource(method)
sig = inspect.signature(method)
params_list = [p for p in sig.parameters.values() if p.name != "self"]
if len(params_list) == 1:
param = params_list[0]
param_type = param.annotation
if is_unwrapped_body_param(param_type):
return
# Only check if the method has more than one parameter
if len(sig.parameters) > 1 and ":param" not in source:
return "does not have a ':param' in its docstring"