[fundamental][bugfix] Replace retired model "text-ada-001" (#3429)

# Description

`"text-ada-001"` retires in 6/18 (reference:
<https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/model-retirements#deprecated-models>),
this PR replaces it with the suggested model.

# All Promptflow Contribution checklist:
- [x] **The pull request does not introduce [breaking changes].**
- [ ] **CHANGELOG is updated for new features, bug fixes or other
significant changes.**
- [x] **I have read the [contribution guidelines](../CONTRIBUTING.md).**
- [ ] **Create an issue and link to the pull request to get dedicated
review from promptflow team. Learn more: [suggested
workflow](../CONTRIBUTING.md#suggested-workflow).**

## General Guidelines and Best Practices
- [x] Title of the pull request is clear and informative.
- [x] There are a small number of commits, each of which have an
informative message. This means that previously merged commits do not
appear in the history of the PR. For more information on cleaning up the
commits in your PR, [see this
page](https://github.com/Azure/azure-powershell/blob/master/documentation/development-docs/cleaning-up-commits.md).

### Testing Guidelines
- [x] Pull request includes test coverage for the included changes.

.github/workflows/promptflow-executor-unit-test.yml

@@ -18,6 +18,7 @@ on:
       - src/promptflow/promptflow/storage/**
       - src/promptflow/tests/*
       - src/promptflow/tests/executor/**
+      - src/promptflow/tests/test_configs/**
       - src/promptflow-tracing/promptflow/**
       - src/promptflow-core/promptflow/**
       - src/promptflow-devkit/promptflow/**

src/promptflow-devkit/promptflow/_sdk/_utilities/tracing_utils.py

@@ -34,7 +34,7 @@
 from promptflow._sdk._user_agent import USER_AGENT
 from promptflow._sdk.entities._trace import Span
 from promptflow._utils.logger_utils import get_cli_sdk_logger
-from promptflow._utils.user_agent_utils import ClientUserAgentUtil, setup_user_agent_to_operation_context
+from promptflow._utils.user_agent_utils import setup_user_agent_to_operation_context
 from promptflow.core._errors import MissingRequiredPackage
 
 from .general_utils import convert_time_unix_nano_to_timestamp, json_load
@@ -347,8 +347,8 @@ class TraceTelemetryHelper:
     CUSTOM_DIMENSIONS_TRACE_COUNT = "trace_count"
 
     def __init__(self):
-        setup_user_agent_to_operation_context(USER_AGENT)
-        self._user_agent = ClientUserAgentUtil.get_user_agent()
+        # `setup_user_agent_to_operation_context` will get user agent and return
+        self._user_agent = setup_user_agent_to_operation_context(USER_AGENT)
         self._telemetry_logger = get_telemetry_logger()
         self._lock = multiprocessing.Lock()
         self._summary: typing.Dict[TraceCountKey, int] = dict()

src/promptflow-recording/recordings/local/executor_node_cache.shelve.bak

@@ -35,3 +35,5 @@
 'ad585ee1806aae44c095f4b3e473e472bb8be141', (91136, 1272)
 'ea48203d881e43bd9e027a19525ba88816c9a639', (92672, 14393)
 'e53962d6670e3c446a659b93e8ff5900f82bce76', (107520, 14391)
+'b3e2c3c192f72b517f5d32e5f416b1f818922bbd', (122368, 3698)
+'17d268bf2d53b839d08502d3a92c6ce0f5e67fdd', (126464, 916)

src/promptflow-recording/recordings/local/executor_node_cache.shelve.dir

@@ -35,3 +35,5 @@
 'ad585ee1806aae44c095f4b3e473e472bb8be141', (91136, 1272)
 'ea48203d881e43bd9e027a19525ba88816c9a639', (92672, 14393)
 'e53962d6670e3c446a659b93e8ff5900f82bce76', (107520, 14391)
+'b3e2c3c192f72b517f5d32e5f416b1f818922bbd', (122368, 3698)
+'17d268bf2d53b839d08502d3a92c6ce0f5e67fdd', (126464, 916)

src/promptflow/tests/test_configs/flows/openai_completion_api_flow/completion.py

@@ -28,7 +28,7 @@ def completion(connection: AzureOpenAIConnection, prompt: str, stream: bool) ->
     if IS_LEGACY_OPENAI:
         completion = openai.Completion.create(
             prompt=prompt,
-            engine="text-ada-001",
+            engine="gpt-35-turbo-instruct",
             max_tokens=256,
             temperature=0.8,
             top_p=1.0,
@@ -40,7 +40,7 @@ def completion(connection: AzureOpenAIConnection, prompt: str, stream: bool) ->
     else:
         completion = get_client(connection).completions.create(
             prompt=prompt,
-            model="text-ada-001",
+            model="gpt-35-turbo-instruct",
             max_tokens=256,
             temperature=0.8,
             top_p=1.0,