Python: Fix AzureAIClient failure when conversation history contains assistant messages (#3076)

* Fix AzureAIClient failure when conversation history contains assistant messages

* Address PR review feedback: improve docstring and test assertions

* Remove redundant cast
This commit is contained in:
Evan Mattson
2026-01-05 22:05:46 +00:00
committed by GitHub
parent 0aba02c402
commit 928c9d54ad
2 changed files with 135 additions and 1 deletions
@@ -286,6 +286,93 @@ async def test_azure_ai_client_prepare_messages_for_azure_ai_no_system_messages(
assert instructions is None
def test_azure_ai_client_transform_input_for_azure_ai(mock_project_client: MagicMock) -> None:
"""Test _transform_input_for_azure_ai adds required fields for Azure AI schema.
WORKAROUND TEST: Azure AI Projects API requires 'type' at item level and
'annotations' in output_text content items, which OpenAI's Responses API does not require.
See: https://github.com/Azure/azure-sdk-for-python/issues/44493
See: https://github.com/microsoft/agent-framework/issues/2926
"""
client = create_test_azure_ai_client(mock_project_client)
# Input in OpenAI Responses API format (what agent-framework generates)
openai_format_input = [
{
"role": "user",
"content": [
{"type": "input_text", "text": "Hello"},
],
},
{
"role": "assistant",
"content": [
{"type": "output_text", "text": "Hi there!"},
],
},
]
result = client._transform_input_for_azure_ai(openai_format_input) # type: ignore
# Verify 'type': 'message' added at item level
assert result[0]["type"] == "message"
assert result[1]["type"] == "message"
# Verify 'annotations' added ONLY to output_text (assistant) content, NOT input_text (user)
assert result[0]["content"][0]["type"] == "input_text" # user content type preserved
assert "annotations" not in result[0]["content"][0] # user message - no annotations
assert result[1]["content"][0]["type"] == "output_text" # assistant content type preserved
assert result[1]["content"][0]["annotations"] == [] # assistant message - has annotations
# Verify original fields preserved
assert result[0]["role"] == "user"
assert result[0]["content"][0]["text"] == "Hello"
assert result[1]["role"] == "assistant"
assert result[1]["content"][0]["text"] == "Hi there!"
def test_azure_ai_client_transform_input_preserves_existing_fields(mock_project_client: MagicMock) -> None:
"""Test _transform_input_for_azure_ai preserves existing type and annotations."""
client = create_test_azure_ai_client(mock_project_client)
# Input that already has the fields (shouldn't duplicate)
input_with_fields = [
{
"type": "message",
"role": "assistant",
"content": [
{"type": "output_text", "text": "Hello", "annotations": [{"some": "annotation"}]},
],
},
]
result = client._transform_input_for_azure_ai(input_with_fields) # type: ignore
# Should preserve existing values, not overwrite
assert result[0]["type"] == "message"
assert result[0]["content"][0]["annotations"] == [{"some": "annotation"}]
def test_azure_ai_client_transform_input_handles_non_dict_content(mock_project_client: MagicMock) -> None:
"""Test _transform_input_for_azure_ai handles non-dict content items."""
client = create_test_azure_ai_client(mock_project_client)
# Input with string content (edge case)
input_with_string_content = [
{
"role": "user",
"content": ["plain string content"],
},
]
result = client._transform_input_for_azure_ai(input_with_string_content) # type: ignore
# Should add 'type': 'message' at item level even with non-dict content
assert result[0]["type"] == "message"
# Non-dict content items should be preserved without modification
assert result[0]["content"] == ["plain string content"]
async def test_azure_ai_client_prepare_options_basic(mock_project_client: MagicMock) -> None:
"""Test prepare_options basic functionality."""
client = create_test_azure_ai_client(mock_project_client, agent_name="test-agent", agent_version="1.0")