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Renamed async_credential to credential (#2648)

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This commit is contained in:
Dmytro Struk
2025-12-07 17:21:18 -08:00
committed by GitHub
Unverified
parent eb06faea2d
commit cfcb71334a
64 changed files with 266 additions and 269 deletions
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python/packages/azure-ai/agent_framework_azure_ai/_chat_client.py
+8 -8
View File
@@ -122,7 +122,7 @@ class AzureAIAgentClient(BaseChatClient):
thread_id: str | None = None,
project_endpoint: str | None = None,
model_deployment_name: str | None = None,
async_credential: AsyncTokenCredential | None = None,
credential: AsyncTokenCredential | None = None,
should_cleanup_agent: bool = True,
env_file_path: str | None = None,
env_file_encoding: str | None = None,
@@ -144,7 +144,7 @@ class AzureAIAgentClient(BaseChatClient):
Ignored when a agents_client is passed.
model_deployment_name: The model deployment name to use for agent creation.
Can also be set via environment variable AZURE_AI_MODEL_DEPLOYMENT_NAME.
async_credential: Azure async credential to use for authentication.
credential: Azure async credential to use for authentication.
should_cleanup_agent: Whether to cleanup (delete) agents created by this client when
the client is closed or context is exited. Defaults to True. Only affects agents
created by this client instance; existing agents passed via agent_id are never deleted.
@@ -162,17 +162,17 @@ class AzureAIAgentClient(BaseChatClient):
# Set AZURE_AI_PROJECT_ENDPOINT=https://your-project.cognitiveservices.azure.com
# Set AZURE_AI_MODEL_DEPLOYMENT_NAME=gpt-4
credential = DefaultAzureCredential()
client = AzureAIAgentClient(async_credential=credential)
client = AzureAIAgentClient(credential=credential)
# Or passing parameters directly
client = AzureAIAgentClient(
project_endpoint="https://your-project.cognitiveservices.azure.com",
model_deployment_name="gpt-4",
async_credential=credential,
credential=credential,
)
# Or loading from a .env file
client = AzureAIAgentClient(async_credential=credential, env_file_path="path/to/.env")
client = AzureAIAgentClient(credential=credential, env_file_path="path/to/.env")
"""
try:
azure_ai_settings = AzureAISettings(
@@ -200,11 +200,11 @@ class AzureAIAgentClient(BaseChatClient):
)
# Use provided credential
if not async_credential:
if not credential:
raise ServiceInitializationError("Azure credential is required when agents_client is not provided.")
agents_client = AgentsClient(
endpoint=azure_ai_settings.project_endpoint,
credential=async_credential,
credential=credential,
user_agent=AGENT_FRAMEWORK_USER_AGENT,
)
should_close_client = True
@@ -214,7 +214,7 @@ class AzureAIAgentClient(BaseChatClient):
# Initialize instance variables
self.agents_client = agents_client
self.credential = async_credential
self.credential = credential
self.agent_id = agent_id
self.agent_name = agent_name
self.agent_description = agent_description
python/packages/azure-ai/agent_framework_azure_ai/_client.py
+8 -8
View File
@@ -66,7 +66,7 @@ class AzureAIClient(OpenAIBaseResponsesClient):
conversation_id: str | None = None,
project_endpoint: str | None = None,
model_deployment_name: str | None = None,
async_credential: AsyncTokenCredential | None = None,
credential: AsyncTokenCredential | None = None,
use_latest_version: bool | None = None,
env_file_path: str | None = None,
env_file_encoding: str | None = None,
@@ -86,7 +86,7 @@ class AzureAIClient(OpenAIBaseResponsesClient):
Ignored when a project_client is passed.
model_deployment_name: The model deployment name to use for agent creation.
Can also be set via environment variable AZURE_AI_MODEL_DEPLOYMENT_NAME.
async_credential: Azure async credential to use for authentication.
credential: Azure async credential to use for authentication.
use_latest_version: Boolean flag that indicates whether to use latest agent version
if it exists in the service.
env_file_path: Path to environment file for loading settings.
@@ -103,17 +103,17 @@ class AzureAIClient(OpenAIBaseResponsesClient):
# Set AZURE_AI_PROJECT_ENDPOINT=https://your-project.cognitiveservices.azure.com
# Set AZURE_AI_MODEL_DEPLOYMENT_NAME=gpt-4
credential = DefaultAzureCredential()
client = AzureAIClient(async_credential=credential)
client = AzureAIClient(credential=credential)
# Or passing parameters directly
client = AzureAIClient(
project_endpoint="https://your-project.cognitiveservices.azure.com",
model_deployment_name="gpt-4",
async_credential=credential,
credential=credential,
)
# Or loading from a .env file
client = AzureAIClient(async_credential=credential, env_file_path="path/to/.env")
client = AzureAIClient(credential=credential, env_file_path="path/to/.env")
"""
try:
azure_ai_settings = AzureAISettings(
@@ -135,11 +135,11 @@ class AzureAIClient(OpenAIBaseResponsesClient):
)
# Use provided credential
if not async_credential:
if not credential:
raise ServiceInitializationError("Azure credential is required when project_client is not provided.")
project_client = AIProjectClient(
endpoint=azure_ai_settings.project_endpoint,
credential=async_credential,
credential=credential,
user_agent=AGENT_FRAMEWORK_USER_AGENT,
)
should_close_client = True
@@ -155,7 +155,7 @@ class AzureAIClient(OpenAIBaseResponsesClient):
self.agent_description = agent_description
self.use_latest_version = use_latest_version
self.project_client = project_client
self.credential = async_credential
self.credential = credential
self.model_id = azure_ai_settings.model_deployment_name
self.conversation_id = conversation_id