Update dependency for pf dependences and local import for dependences…

… related to pf-azure (#3527)

# Description

Please add an informative description that covers that changes made by
the pull request and link all relevant issues.

# All Promptflow Contribution checklist:
- [ ] **The pull request does not introduce [breaking changes].**
- [ ] **CHANGELOG is updated for new features, bug fixes or other
significant changes.**
- [ ] **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
- [ ] Title of the pull request is clear and informative.
- [ ] 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
- [ ] Pull request includes test coverage for the included changes.

src/promptflow-evals/promptflow/evals/evaluate/_eval_run.py

@@ -11,18 +11,20 @@
 from typing import Any, Dict, Optional, Type
 from urllib.parse import urlparse
 
-from azure.storage.blob import BlobServiceClient
 from requests.adapters import HTTPAdapter
 from urllib3.util.retry import Retry
 
 from promptflow.evals._version import VERSION
 from promptflow._sdk.entities import Run
 
-from azure.ai.ml.entities._credentials import AccountKeyConfiguration
-from azure.ai.ml.entities._datastore.datastore import Datastore
-
 LOGGER = logging.getLogger(__name__)
 
+try:
+    from azure.storage.blob import BlobServiceClient
+    from azure.ai.ml.entities._credentials import AccountKeyConfiguration
+except ImportError:
+    LOGGER.debug("promptflow.azure is not installed.")
+
 
 @dataclasses.dataclass
 class RunInfo:
@@ -382,7 +384,7 @@ def log_artifact(self, artifact_folder: str, artifact_name: str = EVALUATION_ART
         if response.status_code != 200:
             self._log_warning('register artifact', response)
 
-    def _get_datastore_credential(self, datastore: Datastore):
+    def _get_datastore_credential(self, datastore: 'Datastore'):
         # Reference the logic in azure.ai.ml._artifact._artifact_utilities
         # https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/ml/azure-ai-ml/azure/ai/ml/_artifacts/_artifact_utilities.py#L103
         credential = datastore.credentials

src/promptflow-evals/pyproject.toml

@@ -39,14 +39,14 @@ packages = [
 # dependencies
 [tool.poetry.dependencies]
 python = "<4.0,>=3.8"
-promptflow-devkit = "<2.0.0"
-promptflow-core = "<2.0.0"
+promptflow-devkit = "<2.0.0,>=1.13.0"
+promptflow-core = "<2.0.0,>=1.13.0"
 aiohttp_retry = ">=2.8.3"
 websocket-client = ">=1.2.0"
 jsonpath_ng = ">=1.5.0"
 urllib3 = ">1.26.17"
 numpy = ">=1.22"
-promptflow-azure = { version = "<2.0.0", optional = true} # Needed for remote tracking
+promptflow-azure = { version = "<2.0.0,>=1.13.0", optional = true} # Needed for remote tracking
 
 [tool.poetry.extras]
 azure = [