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seligj95seligj95
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chat still not working
1 parent 5026457 commit 20f4a57

3 files changed

Lines changed: 219 additions & 14 deletions

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‎infra/main.bicep‎

Lines changed: 6 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -106,9 +106,13 @@ resource appService 'Microsoft.Web/sites@2024-04-01' = {
106106
name: 'AZURE_OPENAI_DEPLOYMENT_NAME'
107107
value: gpt41MiniDeployment.name
108108
}
109+
{
110+
name: 'AZURE_AI_MODEL_DEPLOYMENT_NAME'
111+
value: gpt41MiniDeployment.name
112+
}
109113
{
110114
name: 'AZURE_AI_PROJECT_ENDPOINT'
111-
value: 'https://${aiProject.properties.discoveryUrl}'
115+
value: '${location}.api.azureml.ms;${subscription().subscriptionId};${resourceGroup().name};${aiProject.name}'
112116
}
113117
{
114118
name: 'AZURE_APP_SERVICE_URL'
@@ -318,7 +322,7 @@ output SERVICE_WEB_URI string = 'https://${appService.properties.defaultHostName
318322
output SERVICE_TODO_APP_IDENTITY_PRINCIPAL_ID string = appService.identity.principalId
319323
output AZURE_OPENAI_ENDPOINT string = openAIAccount.properties.endpoint
320324
output AZURE_OPENAI_NAME string = openAIAccount.name
321-
output AZURE_AI_PROJECT_ENDPOINT string = 'https://${aiProject.properties.discoveryUrl}'
325+
output AZURE_AI_PROJECT_ENDPOINT string = '${location}.api.azureml.ms;${subscription().subscriptionId};${resourceGroup().name};${aiProject.name}'
322326
output AZURE_AI_PROJECT_NAME string = aiProject.name
323327
output AZURE_AI_HUB_NAME string = aiHub.name
324328
output AZURE_OPENAI_DEPLOYMENT_NAME string = gpt41MiniDeployment.name

‎main.py‎

Lines changed: 210 additions & 9 deletions
Original file line numberDiff line numberDiff line change
@@ -76,6 +76,8 @@ def __init__(self):
7676

7777
async def initialize(self):
7878
"""Initialize Azure AI Foundry connection"""
79+
logger.info("=== Starting Azure AI Foundry initialization ===")
80+
7981
if not AZURE_AI_AVAILABLE:
8082
logger.warning("Azure AI packages not available")
8183
return False
@@ -86,29 +88,99 @@ async def initialize(self):
8688
model_deployment_name = os.getenv('AZURE_AI_MODEL_DEPLOYMENT_NAME', 'gpt-4-1106-preview')
8789
app_service_url = os.getenv('AZURE_APP_SERVICE_URL', 'http://localhost:8000')
8890

91+
logger.info("=== Environment Variables ===")
92+
logger.info(f" AZURE_AI_PROJECT_ENDPOINT: {project_endpoint}")
93+
logger.info(f" AZURE_AI_MODEL_DEPLOYMENT_NAME: {model_deployment_name}")
94+
logger.info(f" AZURE_APP_SERVICE_URL: {app_service_url}")
95+
96+
# Also log other Azure-related env vars for debugging
97+
other_vars = [
98+
'AZURE_OPENAI_ENDPOINT',
99+
'AZURE_OPENAI_DEPLOYMENT_NAME',
100+
'AZURE_TENANT_ID',
101+
'AZURE_CLIENT_ID',
102+
'AZURE_CLIENT_SECRET'
103+
]
104+
for var in other_vars:
105+
value = os.getenv(var)
106+
if value:
107+
logger.info(f" {var}: {value[:50]}...")
108+
else:
109+
logger.info(f" {var}: Not set")
110+
89111
if not project_endpoint:
90-
logger.warning("AZURE_AI_PROJECT_ENDPOINT not configured")
112+
logger.error("AZURE_AI_PROJECT_ENDPOINT not configured")
91113
return False
92114

93-
# Initialize Azure AI Project Client with managed identity
94-
credential = DefaultAzureCredential()
95-
self.project_client = AIProjectClient(
96-
endpoint=project_endpoint,
97-
credential=credential
98-
)
115+
# Initialize Azure AI Project Client using connection string format
116+
logger.info("=== Initializing Azure Credentials ===")
117+
try:
118+
credential = DefaultAzureCredential()
119+
logger.info("DefaultAzureCredential created successfully")
120+
121+
# Test credential by getting a token
122+
logger.info("Testing credential by requesting token...")
123+
token = credential.get_token("https://cognitiveservices.azure.com/.default")
124+
logger.info(f"Token acquired successfully, expires: {token.expires_on}")
125+
except Exception as cred_error:
126+
logger.error(f"Credential initialization failed: {cred_error}")
127+
return False
128+
129+
# Try the from_connection_string method first
130+
logger.info("=== Creating AIProjectClient ===")
131+
logger.info(f"Using connection string: {project_endpoint}")
132+
try:
133+
self.project_client = AIProjectClient.from_connection_string(
134+
conn_str=project_endpoint,
135+
credential=credential
136+
)
137+
logger.info("✓ Successfully created AIProjectClient with connection string")
138+
except Exception as conn_error:
139+
logger.error(f"✗ Connection string method failed: {conn_error}")
140+
logger.info("Trying fallback method with direct endpoint...")
141+
# Fallback to direct endpoint initialization
142+
try:
143+
# Convert connection string to endpoint URL
144+
parts = project_endpoint.split(';')
145+
if len(parts) >= 4:
146+
endpoint_url = f"https://{parts[3]}.{parts[0]}"
147+
logger.info(f"Converted to endpoint URL: {endpoint_url}")
148+
self.project_client = AIProjectClient(
149+
endpoint=endpoint_url,
150+
credential=credential
151+
)
152+
logger.info("✓ Successfully created AIProjectClient with direct endpoint")
153+
else:
154+
raise Exception("Invalid connection string format")
155+
except Exception as direct_error:
156+
logger.error(f"✗ Direct endpoint method also failed: {direct_error}")
157+
return False
99158

100159
# Set MCP server URL to point to our own app
101160
self.mcp_server_url = f"{app_service_url}/mcp/stream"
102161
self.model_deployment_name = model_deployment_name
103162

104-
logger.info(f"Azure AI Foundry initialized with endpoint: {project_endpoint}")
105-
logger.info(f"MCP Server URL: {self.mcp_server_url}")
163+
logger.info(f"Azure AI Foundry initialized successfully")
164+
logger.info(f" Project client: {type(self.project_client)}")
165+
logger.info(f" MCP Server URL: {self.mcp_server_url}")
166+
logger.info(f" Model deployment: {self.model_deployment_name}")
167+
168+
# Test the connection by trying to get project info
169+
try:
170+
logger.info("Testing connection by checking project endpoint...")
171+
endpoint_url = self.project_client.get_endpoint_url()
172+
logger.info(f"Project endpoint URL: {endpoint_url}")
173+
except Exception as test_error:
174+
logger.warning(f"Failed to test connection: {test_error}")
106175

107176
self.initialized = True
108177
return True
109178

110179
except Exception as e:
111180
logger.error(f"Failed to initialize Azure AI Foundry: {e}")
181+
logger.error(f"Exception type: {type(e)}")
182+
import traceback
183+
logger.error(f"Full traceback: {traceback.format_exc()}")
112184
return False
113185

114186
async def create_agent(self) -> Optional[str]:
@@ -605,6 +677,124 @@ async def health():
605677
"ai_foundry_initialized": ai_foundry_service.initialized
606678
}
607679

680+
@app.get("/debug/azure-ai-status")
681+
async def azure_ai_debug_status():
682+
"""Comprehensive Azure AI debugging endpoint"""
683+
import traceback
684+
from azure.identity import DefaultAzureCredential
685+
686+
status = {
687+
"timestamp": datetime.now().isoformat(),
688+
"azure_ai_packages_available": AZURE_AI_AVAILABLE,
689+
"ai_foundry_service_initialized": ai_foundry_service.initialized,
690+
"environment_variables": {},
691+
"credential_test": {},
692+
"project_client_test": {},
693+
"agent_test": {}
694+
}
695+
696+
# Check environment variables
697+
env_vars = [
698+
'AZURE_AI_PROJECT_ENDPOINT',
699+
'AZURE_AI_MODEL_DEPLOYMENT_NAME',
700+
'AZURE_APP_SERVICE_URL',
701+
'AZURE_OPENAI_ENDPOINT',
702+
'AZURE_OPENAI_DEPLOYMENT_NAME',
703+
'AZURE_TENANT_ID',
704+
'AZURE_CLIENT_ID',
705+
'AZURE_CLIENT_SECRET'
706+
]
707+
708+
for var in env_vars:
709+
value = os.getenv(var)
710+
if value:
711+
# Mask sensitive values
712+
if 'SECRET' in var or 'KEY' in var:
713+
status["environment_variables"][var] = f"{value[:10]}...***"
714+
else:
715+
status["environment_variables"][var] = value
716+
else:
717+
status["environment_variables"][var] = None
718+
719+
# Test Azure credential
720+
try:
721+
credential = DefaultAzureCredential()
722+
token = credential.get_token("https://cognitiveservices.azure.com/.default")
723+
status["credential_test"] = {
724+
"success": True,
725+
"expires_on": token.expires_on,
726+
"message": "Credential test successful"
727+
}
728+
except Exception as e:
729+
status["credential_test"] = {
730+
"success": False,
731+
"error": str(e),
732+
"traceback": traceback.format_exc()
733+
}
734+
735+
# Test project client
736+
if AZURE_AI_AVAILABLE:
737+
try:
738+
project_endpoint = os.getenv('AZURE_AI_PROJECT_ENDPOINT')
739+
if project_endpoint:
740+
from azure.ai.projects import AIProjectClient
741+
credential = DefaultAzureCredential()
742+
743+
# Try connection string method
744+
try:
745+
client = AIProjectClient.from_connection_string(
746+
conn_str=project_endpoint,
747+
credential=credential
748+
)
749+
status["project_client_test"] = {
750+
"success": True,
751+
"method": "connection_string",
752+
"message": "Project client created successfully"
753+
}
754+
except Exception as conn_error:
755+
# Try direct endpoint method
756+
try:
757+
parts = project_endpoint.split(';')
758+
if len(parts) >= 4:
759+
endpoint_url = f"https://{parts[3]}.{parts[0]}"
760+
client = AIProjectClient(
761+
endpoint=endpoint_url,
762+
credential=credential
763+
)
764+
status["project_client_test"] = {
765+
"success": True,
766+
"method": "direct_endpoint",
767+
"endpoint_url": endpoint_url,
768+
"message": "Project client created with fallback method"
769+
}
770+
else:
771+
raise Exception("Invalid connection string format")
772+
except Exception as direct_error:
773+
status["project_client_test"] = {
774+
"success": False,
775+
"connection_string_error": str(conn_error),
776+
"direct_endpoint_error": str(direct_error),
777+
"traceback": traceback.format_exc()
778+
}
779+
else:
780+
status["project_client_test"] = {
781+
"success": False,
782+
"error": "AZURE_AI_PROJECT_ENDPOINT not configured"
783+
}
784+
except Exception as e:
785+
status["project_client_test"] = {
786+
"success": False,
787+
"error": str(e),
788+
"traceback": traceback.format_exc()
789+
}
790+
else:
791+
status["project_client_test"] = {
792+
"success": False,
793+
"error": "Azure AI packages not available"
794+
}
795+
796+
return status
797+
608798
@app.get("/tools")
609799
async def list_tools():
610800
"""REST endpoint to list available tools"""
@@ -765,6 +955,17 @@ async def send_chat_message(chat_data: ChatMessage):
765955
logger.error(f"Failed to send chat message: {e}")
766956
raise HTTPException(status_code=500, detail="Failed to process chat message")
767957

958+
@app.get("/api/chat/status")
959+
async def chat_status():
960+
"""Get the status of the Azure AI Foundry chat service"""
961+
return {
962+
"available": ai_foundry_service.initialized,
963+
"azure_ai_available": AZURE_AI_AVAILABLE,
964+
"project_endpoint": os.getenv('AZURE_AI_PROJECT_ENDPOINT'),
965+
"model_deployment": os.getenv('AZURE_AI_MODEL_DEPLOYMENT_NAME'),
966+
"app_service_url": os.getenv('AZURE_APP_SERVICE_URL')
967+
}
968+
768969
# MCP Streamable HTTP Endpoints
769970
@app.get("/mcp/stream")
770971
async def mcp_stream_info():

‎templates/chat.html‎

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -3,15 +3,15 @@
33
<head>
44
<meta charset="UTF-8">
55
<meta name="viewport" content="width=device-width, initial-scale=1.0">
6-
<title>MCP Agent Chat - To-do List App</title>
6+
<title>App Service To-do List App</title>
77
<link rel="stylesheet" href="/static/css/style.css">
88
</head>
99
<body>
1010
<div class="container">
1111
<!-- Header -->
1212
<div class="header">
13-
<h1>MCP Agent Chat</h1>
14-
<p>AI-powered todo management with Azure AI Foundry</p>
13+
<h1>MCP Agent To-do List App</h1>
14+
<p>With MCP and Agent Integration</p>
1515
</div>
1616

1717
<!-- Navigation -->

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