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Python: [Feature Branch] Structured Outputs and more examples for AzureAIClient (#1987)

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* Small updates

* Added support for structured outputs

* Added code interpreter example

* More examples and fixes

* Added more examples and README

* Small fix

* Addressed PR feedback
This commit is contained in:
Dmytro Struk
2025-11-07 00:17:20 -08:00
committed by GitHub
Unverified
parent 915c749e41
commit 9423c1763c
17 changed files with 3915 additions and 3461 deletions
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python/packages/core/agent_framework/openai/_responses_client.py
+10 -6
View File
@@ -92,7 +92,8 @@ class OpenAIBaseResponsesClient(OpenAIBase, BaseChatClient):
client = await self.ensure_client()
run_options = await self.prepare_options(messages, chat_options)
try:
if not chat_options.response_format:
response_format = run_options.pop("response_format", None)
if not response_format:
response = await client.responses.create(
stream=False,
**run_options,
@@ -100,9 +101,8 @@ class OpenAIBaseResponsesClient(OpenAIBase, BaseChatClient):
chat_options.conversation_id = self.get_conversation_id(response, chat_options.store)
return self._create_response_content(response, chat_options=chat_options)
# create call does not support response_format, so we need to handle it via parse call
resp_format = chat_options.response_format
parsed_response: ParsedResponse[BaseModel] = await client.responses.parse(
text_format=resp_format,
text_format=response_format,
stream=False,
**run_options,
)
@@ -135,7 +135,8 @@ class OpenAIBaseResponsesClient(OpenAIBase, BaseChatClient):
run_options = await self.prepare_options(messages, chat_options)
function_call_ids: dict[int, tuple[str, str]] = {} # output_index: (call_id, name)
try:
if not chat_options.response_format:
response_format = run_options.pop("response_format", None)
if not response_format:
response = await client.responses.create(
stream=True,
**run_options,
@@ -148,7 +149,7 @@ class OpenAIBaseResponsesClient(OpenAIBase, BaseChatClient):
return
# create call does not support response_format, so we need to handle it via stream call
async with client.responses.stream(
text_format=chat_options.response_format,
text_format=response_format,
**run_options,
) as response:
async for chunk in response:
@@ -311,7 +312,6 @@ class OpenAIBaseResponsesClient(OpenAIBase, BaseChatClient):
run_options: dict[str, Any] = chat_options.to_dict(
exclude={
"type",
"response_format", # handled in inner get methods
"presence_penalty", # not supported
"frequency_penalty", # not supported
"logit_bias", # not supported
@@ -320,6 +320,10 @@ class OpenAIBaseResponsesClient(OpenAIBase, BaseChatClient):
"instructions", # already added as system message
}
)
if chat_options.response_format:
run_options["response_format"] = chat_options.response_format
translations = {
"model_id": "model",
"allow_multiple_tool_calls": "parallel_tool_calls",