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Merge branch 'main' into openai_response_agent_completeness

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This commit is contained in:
Giles Odigwe
2025-09-12 09:15:58 -07:00
committed by GitHub
Unverified
parent 1a6d314d99 8af4918f56
commit f71a27ebfe
53 changed files with 1020 additions and 137 deletions
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python/packages/main/agent_framework/openai/_responses_client.py
+28 -12
View File
@@ -579,10 +579,10 @@ class OpenAIBaseResponsesClient(OpenAIBase, BaseChatClient):
TextContent(text=message_content.refusal, raw_representation=message_content)
)
case "reasoning": # ResponseOutputReasoning
if item.content:
if hasattr(item, "content") and item.content:
for index, reasoning_content in enumerate(item.content):
additional_properties = None
if item.summary and index < len(item.summary):
if hasattr(item, "summary") and item.summary and index < len(item.summary):
additional_properties = {"summary": item.summary[index]}
contents.append(
TextReasoningContent(
@@ -592,7 +592,7 @@ class OpenAIBaseResponsesClient(OpenAIBase, BaseChatClient):
)
)
case "code_interpreter_call": # ResponseOutputCodeInterpreterCall
if item.outputs:
if hasattr(item, "outputs") and item.outputs:
for code_output in item.outputs:
if code_output.type == "logs":
contents.append(TextContent(text=code_output.logs, raw_representation=item))
@@ -605,16 +605,16 @@ class OpenAIBaseResponsesClient(OpenAIBase, BaseChatClient):
media_type="image",
)
)
elif item.code:
elif hasattr(item, "code") and item.code:
# fallback if no output was returned is the code:
contents.append(TextContent(text=item.code, raw_representation=item))
case "function_call": # ResponseOutputFunctionCall
contents.append(
FunctionCallContent(
call_id=item.call_id if item.call_id else "",
name=item.name,
arguments=item.arguments,
additional_properties={"fc_id": item.id},
call_id=item.call_id if hasattr(item, "call_id") and item.call_id else "",
name=item.name if hasattr(item, "name") else "",
arguments=item.arguments if hasattr(item, "arguments") else "",
additional_properties={"fc_id": item.id} if hasattr(item, "id") else {},
raw_representation=item,
)
)
@@ -739,6 +739,18 @@ class OpenAIBaseResponsesClient(OpenAIBase, BaseChatClient):
case "response.output_text.delta":
contents.append(TextContent(text=event.delta, raw_representation=event))
metadata.update(self._get_metadata_from_response(event))
case "response.reasoning_text.delta":
contents.append(TextReasoningContent(text=event.delta, raw_representation=event))
metadata.update(self._get_metadata_from_response(event))
case "response.reasoning_text.done":
contents.append(TextReasoningContent(text=event.text, raw_representation=event))
metadata.update(self._get_metadata_from_response(event))
case "response.reasoning_summary_text.delta":
contents.append(TextReasoningContent(text=event.delta, raw_representation=event))
metadata.update(self._get_metadata_from_response(event))
case "response.reasoning_summary_text.done":
contents.append(TextReasoningContent(text=event.text, raw_representation=event))
metadata.update(self._get_metadata_from_response(event))
case "response.completed":
conversation_id = event.response.id if chat_options.store is True else None
model = event.response.model
@@ -779,7 +791,7 @@ class OpenAIBaseResponsesClient(OpenAIBase, BaseChatClient):
)
)
case "code_interpreter_call": # ResponseOutputCodeInterpreterCall
if event_item.outputs:
if hasattr(event_item, "outputs") and event_item.outputs:
for code_output in event_item.outputs:
if code_output.type == "logs":
contents.append(TextContent(text=code_output.logs, raw_representation=event_item))
@@ -792,14 +804,18 @@ class OpenAIBaseResponsesClient(OpenAIBase, BaseChatClient):
media_type="image",
)
)
elif event_item.code:
elif hasattr(event_item, "code") and event_item.code:
# fallback if no output was returned is the code:
contents.append(TextContent(text=event_item.code, raw_representation=event_item))
case "reasoning": # ResponseOutputReasoning
if event_item.content:
if hasattr(event_item, "content") and event_item.content:
for index, reasoning_content in enumerate(event_item.content):
additional_properties = None
if event_item.summary and index < len(event_item.summary):
if (
hasattr(event_item, "summary")
and event_item.summary
and index < len(event_item.summary)
):
additional_properties = {"summary": event_item.summary[index]}
contents.append(
TextReasoningContent(
python/packages/main/agent_framework/workflow/__init__.py
+1
View File
@@ -56,6 +56,7 @@ _IMPORTS = [
"PlanReviewRequest",
"RequestInfoEvent",
"StandardMagenticManager",
"ConcurrentBuilder",
]
python/packages/main/agent_framework/workflow/__init__.pyi
+2
View File
@@ -8,6 +8,7 @@ from agent_framework_workflow import (
AgentRunUpdateEvent,
Case,
CheckpointStorage,
ConcurrentBuilder,
Default,
Executor,
ExecutorCompletedEvent,
@@ -56,6 +57,7 @@ __all__ = [
"AgentRunUpdateEvent",
"Case",
"CheckpointStorage",
"ConcurrentBuilder",
"Default",
"Executor",
"ExecutorCompletedEvent",