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chore: refactor (chat)completions endpoints to use shared params struct (#3761)

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# 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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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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41
docs/openapi_generator/pyopenapi/generator.py
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@ -23,6 +23,7 @@ from llama_stack.strong_typing.inspection import (
is_generic_list,
is_type_optional,
is_type_union,
is_unwrapped_body_param,
unwrap_generic_list,
unwrap_optional_type,
unwrap_union_types,
@ -769,24 +770,30 @@ class Generator:
first = next(iter(op.request_params))
request_name, request_type = first
op_name = "".join(word.capitalize() for word in op.name.split("_"))
request_name = f"{op_name}Request"
fields = [
(
name,
type_,
)
for name, type_ in op.request_params
]
request_type = make_dataclass(
request_name,
fields,
namespace={
"__doc__": create_docstring_for_request(
request_name, fields, doc_params
# Special case: if there's a single parameter with Body(embed=False) that's a BaseModel,
# unwrap it to show the flat structure in the OpenAPI spec
# Example: openai_chat_completion()
if (len(op.request_params) == 1 and is_unwrapped_body_param(request_type)):
pass
else:
op_name = "".join(word.capitalize() for word in op.name.split("_"))
request_name = f"{op_name}Request"
fields = [
(
name,
type_,
)
},
)
for name, type_ in op.request_params
]
request_type = make_dataclass(
request_name,
fields,
namespace={
"__doc__": create_docstring_for_request(
request_name, fields, doc_params
)
},
)
requestBody = RequestBody(
content={