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Python: added AIAnnotation types and extra tests (#374)
* added AIAnnotation types and extra tests * fixed typing and such * use copy * fix raw representation for add * handle annotations in add * clarified concat * self to first
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@@ -1,32 +1,40 @@
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# Copyright (c) Microsoft. All rights reserved.
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from collections.abc import MutableSequence
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from collections.abc import AsyncIterable, MutableSequence
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from typing import Any
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from pydantic import BaseModel, ValidationError
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from pytest import fixture, mark, raises
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# region: TextContent
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from agent_framework import (
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AgentRunResponse,
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AgentRunResponseUpdate,
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AIAnnotation,
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AIContent,
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AIContents,
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AITool,
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AnnotatedRegion,
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ChatFinishReason,
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ChatMessage,
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ChatOptions,
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ChatResponse,
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ChatResponseUpdate,
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ChatRole,
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ChatToolMode,
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CitationAnnotation,
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DataContent,
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ErrorContent,
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FunctionCallContent,
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FunctionResultContent,
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GeneratedEmbeddings,
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SpeechToTextOptions,
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StructuredResponse,
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TextContent,
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TextReasoningContent,
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TextSpanRegion,
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TextToSpeechOptions,
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UriContent,
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UsageContent,
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UsageDetails,
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ai_function,
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)
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@@ -62,6 +70,9 @@ def ai_function_tool() -> AITool:
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return simple_function
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# region TextContent
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def test_text_content_positional():
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"""Test the TextContent class to ensure it initializes correctly and inherits from AIContent."""
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# Create an instance of TextContent
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@@ -96,7 +107,7 @@ def test_text_content_keyword():
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content.type = "ai"
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# region: DataContent
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# region DataContent
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def test_data_content_bytes():
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@@ -107,6 +118,8 @@ def test_data_content_bytes():
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# Check the type and content
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assert content.type == "data"
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assert content.uri == "data:application/octet-stream;base64,dGVzdA=="
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assert content.has_top_level_media_type("application") is True
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assert content.has_top_level_media_type("image") is False
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assert content.additional_properties["version"] == 1
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# Ensure the instance is of type AIContent
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@@ -121,6 +134,8 @@ def test_data_content_uri():
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# Check the type and content
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assert content.type == "data"
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assert content.uri == "data:application/octet-stream;base64,dGVzdA=="
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# media_type attribute is None when created from uri-only
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assert content.has_top_level_media_type("application") is False
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assert content.additional_properties["version"] == 1
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# Ensure the instance is of type AIContent
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@@ -153,7 +168,7 @@ def test_data_content_empty():
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DataContent(uri="")
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# region: UriContent
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# region UriContent
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def test_uri_content():
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@@ -164,13 +179,15 @@ def test_uri_content():
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assert content.type == "uri"
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assert content.uri == "http://example.com"
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assert content.media_type == "image/jpg"
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assert content.has_top_level_media_type("image") is True
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assert content.has_top_level_media_type("application") is False
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assert content.additional_properties["version"] == 1
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# Ensure the instance is of type AIContent
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assert isinstance(content, AIContent)
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# region: FunctionCallContent
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# region FunctionCallContent
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def test_function_call_content():
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@@ -186,7 +203,44 @@ def test_function_call_content():
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assert isinstance(content, AIContent)
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# region: FunctionResultContent
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def test_function_call_content_parse_arguments():
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c1 = FunctionCallContent(call_id="1", name="f", arguments='{"a": 1, "b": 2}')
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assert c1.parse_arguments() == {"a": 1, "b": 2}
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c2 = FunctionCallContent(call_id="1", name="f", arguments="not json")
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assert c2.parse_arguments() == {"raw": "not json"}
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c3 = FunctionCallContent(call_id="1", name="f", arguments={"x": None})
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assert c3.parse_arguments() == {"x": None}
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def test_function_call_content_add_merging_and_errors():
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# str + str concatenation
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a = FunctionCallContent(call_id="1", name="f", arguments="abc")
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b = FunctionCallContent(call_id="1", name="f", arguments="def")
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c = a + b
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assert isinstance(c.arguments, str) and c.arguments == "abcdef"
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# dict + dict merge
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a = FunctionCallContent(call_id="1", name="f", arguments={"x": 1})
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b = FunctionCallContent(call_id="1", name="f", arguments={"y": 2})
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c = a + b
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assert c.arguments == {"x": 1, "y": 2}
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# incompatible argument types
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a = FunctionCallContent(call_id="1", name="f", arguments="abc")
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b = FunctionCallContent(call_id="1", name="f", arguments={"y": 2})
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with raises(TypeError):
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_ = a + b
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# incompatible call ids
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a = FunctionCallContent(call_id="1", name="f", arguments="abc")
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b = FunctionCallContent(call_id="2", name="f", arguments="def")
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from agent_framework.exceptions import AgentFrameworkException
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with raises(AgentFrameworkException):
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_ = a + b
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# region FunctionResultContent
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def test_function_result_content():
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@@ -201,7 +255,7 @@ def test_function_result_content():
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assert isinstance(content, AIContent)
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# region: UsageDetails
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# region UsageDetails
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def test_usage_details():
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@@ -247,7 +301,23 @@ def test_usage_details_additional_counts():
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assert usage.additional_counts["test"] == 1
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# region: AIContent Serialization
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def test_usage_details_add_with_none_and_type_errors():
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u = UsageDetails(input_token_count=1)
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# __add__ with None returns self (no change)
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v = u + None
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assert v is u
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# __iadd__ with None leaves unchanged
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u2 = UsageDetails(input_token_count=2)
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u2 += None
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assert u2.input_token_count == 2
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# wrong type raises
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with raises(ValueError):
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_ = u + 42 # type: ignore[arg-type]
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with raises(ValueError):
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u += 42 # type: ignore[arg-type]
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# region AIContent Serialization
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@mark.parametrize(
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@@ -274,7 +344,7 @@ def test_ai_content_serialization(content_type: type[AIContent], args: dict):
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assert isinstance(test_item.content, content_type)
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# region: ChatMessage
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# region ChatMessage
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def test_chat_message_text():
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@@ -310,7 +380,13 @@ def test_chat_message_contents():
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assert message.text == "Hello, how are you? I'm fine, thank you!"
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# region: ChatResponse
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def test_chat_message_with_chatrole_instance():
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m = ChatMessage(role=ChatRole.USER, text="hi")
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assert m.role == ChatRole.USER
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assert m.text == "hi"
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# region ChatResponse
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def test_chat_response():
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@@ -325,9 +401,11 @@ def test_chat_response():
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assert response.messages[0].role == ChatRole.ASSISTANT
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assert response.messages[0].text == "I'm doing well, thank you!"
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assert isinstance(response.messages[0], ChatMessage)
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# __str__ returns text
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assert str(response) == response.text
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# region: StructuredResponse
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# region StructuredResponse
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def test_structured_response():
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@@ -346,9 +424,11 @@ def test_structured_response():
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# Check the type and content
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assert response.value == ResponseModel(content="Hello, world!", action="test")
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assert isinstance(response, StructuredResponse)
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# text property returns joined messages text (single message present)
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assert isinstance(response.text, str)
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# region: ChatResponseUpdate
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# region ChatResponseUpdate
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def test_chat_response_update():
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@@ -362,6 +442,15 @@ def test_chat_response_update():
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# Check the type and content
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assert response_update.contents[0].text == "I'm doing well, thank you!"
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assert isinstance(response_update.contents[0], TextContent)
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assert response_update.text == "I'm doing well, thank you!"
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def test_chat_response_update_with_method():
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u = ChatResponseUpdate(text="Hello", message_id="1")
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v = u.with_(contents=[TextContent(" world")])
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assert v is not u
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assert v.text == "Hello world"
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assert v.message_id == "1"
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def test_chat_response_updates_to_chat_response_one():
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@@ -438,7 +527,7 @@ def test_chat_response_updates_to_chat_response_multiple():
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def test_chat_response_updates_to_chat_response_multiple_multiple():
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"""Test converting ChatResponseUpdate to ChatResponse."""
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# Create a ChatMessage
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message1 = TextContent("I'm doing well, ")
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message1 = TextContent("I'm doing well, ", raw_representation="I'm doing well, ")
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message2 = TextContent("thank you!")
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# Create a ChatResponseUpdate with the message
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@@ -457,6 +546,7 @@ def test_chat_response_updates_to_chat_response_multiple_multiple():
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assert len(chat_response.messages) == 1
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assert isinstance(chat_response.messages[0], ChatMessage)
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assert chat_response.messages[0].message_id == "1"
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assert chat_response.messages[0].contents[0].raw_representation is not None
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assert len(chat_response.messages[0].contents) == 3
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assert isinstance(chat_response.messages[0].contents[0], TextContent)
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@@ -469,7 +559,17 @@ def test_chat_response_updates_to_chat_response_multiple_multiple():
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assert chat_response.text == "I'm doing well, thank you! More contextFinal part"
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# region: ChatToolMode
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@mark.asyncio
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async def test_chat_response_from_async_generator():
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async def gen() -> AsyncIterable[ChatResponseUpdate]:
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yield ChatResponseUpdate(text="Hello", message_id="1")
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yield ChatResponseUpdate(text=" world", message_id="1")
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resp = await ChatResponse.from_chat_response_generator(gen())
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assert resp.text == "Hello world"
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# region ChatToolMode
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def test_chat_tool_mode():
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@@ -497,6 +597,8 @@ def test_chat_tool_mode():
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assert isinstance(none_mode, ChatToolMode)
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assert ChatToolMode.REQUIRED("example_function") == ChatToolMode.REQUIRED("example_function")
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# serializer returns just the mode
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assert ChatToolMode.REQUIRED_ANY.model_dump() == "required"
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def test_chat_tool_mode_from_dict():
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@@ -525,7 +627,7 @@ def test_generated_embeddings():
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assert issubclass(GeneratedEmbeddings, MutableSequence)
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# region: ChatOptions
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# region ChatOptions
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def test_chat_options_init() -> None:
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@@ -543,6 +645,10 @@ def test_chat_options_init_with_args(ai_function_tool, ai_tool) -> None:
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frequency_penalty=0.0,
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user="user-123",
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tools=[ai_function_tool, ai_tool],
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tool_choice="required",
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additional_properties={"custom": True},
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logit_bias={"a": 1},
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metadata={"m": "v"},
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)
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assert options.ai_model_id == "gpt-4"
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assert options.max_tokens == 1024
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@@ -557,10 +663,27 @@ def test_chat_options_init_with_args(ai_function_tool, ai_tool) -> None:
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assert tool.description is not None
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assert tool.parameters() is not None
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settings = options.to_provider_settings()
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assert settings["model"] == "gpt-4" # uses alias
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assert settings["tool_choice"] == "required" # serialized via model_serializer
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assert settings["custom"] is True # from additional_properties
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assert "additional_properties" not in settings
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def test_chat_options_tool_choice_validation_errors():
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with raises((ValidationError, TypeError)):
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ChatOptions(tool_choice="invalid-choice")
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def test_chat_options_tool_choice_excluded_when_no_tools():
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options = ChatOptions(tool_choice="auto")
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settings = options.to_provider_settings()
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assert "tool_choice" not in settings
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def test_chat_options_and(ai_function_tool, ai_tool) -> None:
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options1 = ChatOptions(ai_model_id="gpt-4o", tools=[ai_function_tool])
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options2 = ChatOptions(ai_model_id="gpt-4.1", tools=[ai_tool])
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options1 = ChatOptions(ai_model_id="gpt-4o", tools=[ai_function_tool], logit_bias={"x": 1}, metadata={"a": "b"})
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options2 = ChatOptions(ai_model_id="gpt-4.1", tools=[ai_tool], additional_properties={"p": 1})
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assert options1 != options2
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options3 = options1 & options2
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@@ -568,6 +691,9 @@ def test_chat_options_and(ai_function_tool, ai_tool) -> None:
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assert len(options3._ai_tools) == 2
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assert options3._ai_tools == [ai_function_tool, ai_tool]
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assert options3.tools == [ai_function_tool, ai_tool]
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assert options3.logit_bias == {"x": 1}
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assert options3.metadata == {"a": "b"}
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assert options3.additional_properties.get("p") == 1
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# region Agent Response Fixtures
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@@ -661,3 +787,228 @@ def test_agent_run_response_update_text_property_empty() -> None:
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def test_agent_run_response_update_str_method(text_content: TextContent) -> None:
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update = AgentRunResponseUpdate(contents=[text_content])
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assert str(update) == "Test content"
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# region ErrorContent
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def test_error_content_str():
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e1 = ErrorContent(message="Oops", error_code="E1")
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assert str(e1) == "Error E1: Oops"
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e2 = ErrorContent(message="Oops")
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assert str(e2) == "Oops"
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e3 = ErrorContent()
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assert str(e3) == "Unknown error"
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# region Annotations
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def test_annotations_models_and_roundtrip():
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span = TextSpanRegion(start_index=0, end_index=5)
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base_region = AnnotatedRegion()
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ann: AIAnnotation = AIAnnotation(annotated_regions=[span, base_region])
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cit = CitationAnnotation(title="Doc", url="http://example.com", snippet="Snippet", annotated_regions=[span])
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# Attach to content
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content = TextContent(text="hello", additional_properties={"v": 1})
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content.annotations = [ann, cit]
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dumped = content.model_dump()
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loaded = TextContent.model_validate(dumped)
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assert isinstance(loaded.annotations, list)
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assert len(loaded.annotations) == 2
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assert isinstance(loaded.annotations[0], dict) is False # pydantic parsed into models
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# discriminators preserved
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assert any(getattr(a, "type", None) == "citation" for a in loaded.annotations)
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def test_function_call_merge_in_process_update_and_usage_aggregation():
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# Two function call chunks with same call_id should merge
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u1 = ChatResponseUpdate(contents=[FunctionCallContent(call_id="c1", name="f", arguments="{")], message_id="m")
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u2 = ChatResponseUpdate(contents=[FunctionCallContent(call_id="c1", name="f", arguments="}")], message_id="m")
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# plus usage
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u3 = ChatResponseUpdate(contents=[UsageContent(UsageDetails(input_token_count=1, output_token_count=2))])
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resp = ChatResponse.from_chat_response_updates([u1, u2, u3])
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assert len(resp.messages) == 1
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last_contents = resp.messages[0].contents
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assert any(isinstance(c, FunctionCallContent) for c in last_contents)
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fcs = [c for c in last_contents if isinstance(c, FunctionCallContent)]
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assert len(fcs) == 1
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assert fcs[0].arguments == "{}"
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assert resp.usage_details is not None
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assert resp.usage_details.input_token_count == 1
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assert resp.usage_details.output_token_count == 2
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def test_function_call_incompatible_ids_are_not_merged():
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u1 = ChatResponseUpdate(contents=[FunctionCallContent(call_id="a", name="f", arguments="x")], message_id="m")
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u2 = ChatResponseUpdate(contents=[FunctionCallContent(call_id="b", name="f", arguments="y")], message_id="m")
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resp = ChatResponse.from_chat_response_updates([u1, u2])
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fcs = [c for c in resp.messages[0].contents if isinstance(c, FunctionCallContent)]
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assert len(fcs) == 2
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# region Speech/Text To Speech options
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def test_speech_to_text_options_provider_settings():
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o = SpeechToTextOptions(ai_model_id="stt", additional_properties={"x": 1})
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settings = o.to_provider_settings()
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assert settings["model"] == "stt"
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assert settings["x"] == 1
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assert "additional_properties" not in settings
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def test_text_to_speech_options_provider_settings():
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o = TextToSpeechOptions(ai_model_id="tts", response_format="wav", speed=1.2, additional_properties={"x": 2})
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settings = o.to_provider_settings()
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assert settings["model"] == "tts"
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assert settings["response_format"] == "wav"
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assert settings["x"] == 2
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# region GeneratedEmbeddings operations
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def test_generated_embeddings_operations():
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g = GeneratedEmbeddings[int](embeddings=[1, 2, 3])
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assert 2 in g
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assert list(iter(g)) == [1, 2, 3]
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assert len(g) == 3
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assert list(reversed(g)) == [3, 2, 1]
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assert g.index(2) == 1
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assert g.count(2) == 1
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assert g[0] == 1
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assert g[0:2] == [1, 2]
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||||
g[1] = 5
|
||||
assert g[1] == 5
|
||||
g[1:3] = [7, 8]
|
||||
assert g[1:] == [7, 8]
|
||||
|
||||
with raises(TypeError):
|
||||
g[0] = [9] # int index cannot be set with iterable
|
||||
with raises(TypeError):
|
||||
g[0:1] = 9 # slice requires iterable
|
||||
|
||||
del g[0]
|
||||
assert g.embeddings == [7, 8]
|
||||
del g[0:1]
|
||||
assert g.embeddings == [8]
|
||||
|
||||
g.insert(0, 1)
|
||||
g.append(2)
|
||||
g.extend([3, 4])
|
||||
assert g.embeddings == [1, 8, 2, 3, 4]
|
||||
g.reverse()
|
||||
assert g.embeddings == [4, 3, 2, 8, 1]
|
||||
assert g.pop() == 1
|
||||
g.remove(8)
|
||||
assert g.embeddings == [4, 3, 2]
|
||||
|
||||
# iadd with another GeneratedEmbeddings, including usage merge
|
||||
g2 = GeneratedEmbeddings[int](embeddings=[5], usage=UsageDetails(input_token_count=1))
|
||||
g.usage = UsageDetails(input_token_count=2)
|
||||
g += g2
|
||||
assert g.embeddings[-1] == 5
|
||||
assert g.usage.input_token_count == 3
|
||||
|
||||
# clear
|
||||
g.additional_properties = {"a": 1}
|
||||
g.clear()
|
||||
assert g.embeddings == []
|
||||
assert g.usage is None
|
||||
assert g.additional_properties == {}
|
||||
|
||||
|
||||
# region ChatRole & ChatFinishReason basics
|
||||
|
||||
|
||||
def test_chat_role_str_and_repr():
|
||||
assert str(ChatRole.USER) == "user"
|
||||
assert "ChatRole(value=" in repr(ChatRole.USER)
|
||||
|
||||
|
||||
def test_chat_finish_reason_constants():
|
||||
assert ChatFinishReason.STOP.value == "stop"
|
||||
|
||||
|
||||
def test_response_update_propagates_fields_and_metadata():
|
||||
upd = ChatResponseUpdate(
|
||||
text="hello",
|
||||
role="assistant",
|
||||
author_name="bot",
|
||||
response_id="rid",
|
||||
message_id="mid",
|
||||
conversation_id="cid",
|
||||
ai_model_id="model-x",
|
||||
created_at="t0",
|
||||
finish_reason=ChatFinishReason.STOP,
|
||||
additional_properties={"k": "v"},
|
||||
)
|
||||
resp = ChatResponse.from_chat_response_updates([upd])
|
||||
assert resp.response_id == "rid"
|
||||
assert resp.created_at == "t0"
|
||||
assert resp.conversation_id == "cid"
|
||||
assert resp.ai_model_id == "model-x"
|
||||
assert resp.finish_reason == ChatFinishReason.STOP
|
||||
assert resp.additional_properties and resp.additional_properties["k"] == "v"
|
||||
assert resp.messages[0].role == ChatRole.ASSISTANT
|
||||
assert resp.messages[0].author_name == "bot"
|
||||
assert resp.messages[0].message_id == "mid"
|
||||
|
||||
|
||||
def test_text_coalescing_preserves_first_properties():
|
||||
t1 = TextContent("A", raw_representation={"r": 1}, additional_properties={"p": 1})
|
||||
t2 = TextContent("B")
|
||||
upd1 = ChatResponseUpdate(text=t1, message_id="x")
|
||||
upd2 = ChatResponseUpdate(text=t2, message_id="x")
|
||||
resp = ChatResponse.from_chat_response_updates([upd1, upd2])
|
||||
# After coalescing there should be a single TextContent with merged text and preserved props from first
|
||||
items = [c for c in resp.messages[0].contents if isinstance(c, TextContent)]
|
||||
assert len(items) >= 1
|
||||
assert items[0].text == "AB"
|
||||
assert items[0].raw_representation == {"r": 1}
|
||||
assert items[0].additional_properties == {"p": 1}
|
||||
|
||||
|
||||
def test_function_call_content_parse_numeric_or_list():
|
||||
c_num = FunctionCallContent(call_id="1", name="f", arguments="123")
|
||||
assert c_num.parse_arguments() == {"raw": 123}
|
||||
c_list = FunctionCallContent(call_id="1", name="f", arguments="[1,2]")
|
||||
assert c_list.parse_arguments() == {"raw": [1, 2]}
|
||||
|
||||
|
||||
def test_chat_tool_mode_eq_with_string():
|
||||
assert ChatToolMode.AUTO == "auto"
|
||||
|
||||
|
||||
def test_chat_options_tool_choice_dict_mapping(ai_tool):
|
||||
opts = ChatOptions(tool_choice={"mode": "required", "required_function_name": "fn"}, tools=[ai_tool])
|
||||
assert isinstance(opts.tool_choice, ChatToolMode)
|
||||
assert opts.tool_choice.mode == "required"
|
||||
assert opts.tool_choice.required_function_name == "fn"
|
||||
# provider settings serialize to just the mode
|
||||
settings = opts.to_provider_settings()
|
||||
assert settings["tool_choice"] == "required"
|
||||
|
||||
|
||||
# region AgentRunResponse
|
||||
|
||||
|
||||
@fixture
|
||||
def agent_run_response_async() -> AgentRunResponse:
|
||||
return AgentRunResponse(messages=[ChatMessage(role="user", text="Hello")])
|
||||
|
||||
|
||||
@mark.asyncio
|
||||
async def test_agent_run_response_from_async_generator():
|
||||
async def gen():
|
||||
yield AgentRunResponseUpdate(contents=[TextContent("A")])
|
||||
yield AgentRunResponseUpdate(contents=[TextContent("B")])
|
||||
|
||||
r = await AgentRunResponse.from_agent_response_generator(gen())
|
||||
assert r.text == "AB"
|
||||
|
||||
@@ -4,7 +4,7 @@ from typing import Any
|
||||
from pytest import fixture
|
||||
|
||||
|
||||
# region: Connector Settings fixtures
|
||||
# region Connector Settings fixtures
|
||||
@fixture
|
||||
def exclude_list(request: Any) -> list[str]:
|
||||
"""Fixture that returns a list of environment variables to exclude."""
|
||||
|
||||
Reference in New Issue
Block a user