Python: Include a function_invoke_attempt index with Streaming CMC

[moonbox3]

Motivation and Context

During auto function calling, we're yielding all messages back without any indication as to which invocation index they are related to. This information could be helpful to the caller to understand in which order message chunks were received during the auto function invocation loop.

Depending upon the behavior of auto function calling, the request_index iterates up to the maximum_auto_invoke_attempts. The caller doesn't know today which function auto invoke attempt they're currently on -- so simply handing all yielded messages can be confusing. In a new PR, we will handle adding the request_index (perhaps with a different name) to make it easier to know which streaming message chunks to concatenate, which should help reduce the confusion down the line.

Description

This PR adds:

• The function_invoke_attempt attribute to the StreamingChatMessageContent class. This can help callers/users track which streaming chat message chunks belong to which auto function invocation attempt.
• A new keyword argument was added to the _inner_get_streaming_chat_message_contents to allow the function_invoke_attempt int to be passed through to the StreamingChatMessageContent creation in each AI Service. This additive keyword argument should not break existing.
• Updates unit tests
• Creates four new samples to showcase auto function calling: streaming auto invoke / manual invoke (print tool calls), and non-streaming auto invoke / manual invoke (print tool calls). These samples allow one to specify the AI service that supports function calling, as listed in the samples.
• Closes Python: add request index to streaming chat message content to track invocation count #10006

Contribution Checklist

• The code builds clean without any errors or warnings
• The PR follows the SK Contribution Guidelines and the pre-submission formatting script raises no violations
• All unit tests pass, and I have added new tests where possible
• I didn't break anyone 😄

[markwallace-microsoft]

Python Test Coverage Report •

File	Stmts	Miss	Cover	Missing
semantic_kernel/connectors/ai
chat_completion_client_base.py	127	2	98%	406, 416
semantic_kernel/connectors/ai/anthropic/services
anthropic_chat_completion.py	163	8	95%	157, 163, 176, 182, 186, 243–245, 378
semantic_kernel/connectors/ai/azure_ai_inference/services
azure_ai_inference_chat_completion.py	105	6	94%	110–113, 122, 144, 168
semantic_kernel/connectors/ai/bedrock/services
bedrock_chat_completion.py	136	14	90%	117, 139, 164, 168–171, 229, 247–266, 325
semantic_kernel/connectors/ai/google/google_ai/services
google_ai_chat_completion.py	119	4	97%	126, 153, 179, 181
semantic_kernel/connectors/ai/google/vertex_ai/services
vertex_ai_chat_completion.py	119	4	97%	121, 148, 174, 176
semantic_kernel/connectors/ai/mistral_ai/services
mistral_ai_chat_completion.py	122	38	69%	119–122, 132, 147–150, 165, 181–185, 200–208, 225–233, 246–259, 265, 274–278, 323–326
semantic_kernel/connectors/ai/ollama/services
ollama_chat_completion.py	138	34	75%	116, 141, 145–146, 156, 169, 186, 206–207, 211, 224–234, 245–247, 258–267, 279, 289–290, 312, 323–324, 350, 359–367
semantic_kernel/connectors/ai/onnx/services
onnx_gen_ai_chat_completion.py	72	6	92%	69–70, 100, 126, 174, 180
semantic_kernel/connectors/ai/open_ai/services
open_ai_chat_completion_base.py	127	7	94%	71, 81, 102, 122, 143, 179, 291
semantic_kernel/contents
streaming_chat_message_content.py	70	1	99%	225
TOTAL	16797	1851	89%

Python Unit Test Overview

Tests	Skipped	Failures	Errors	Time
2968	4 💤	0 ❌	0 🔥	1m 5s ⏱️

[eavanvalkenburg]

Added some big questions for you :D

[TaoChenOSU]

Create an item to track this issue for .Net: #10017

[eavanvalkenburg]

couple of nits on the samples, feel free to ignore