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app.py
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import copy
import json
import os
import logging
import uuid
import httpx
import asyncio
from quart import (
Blueprint,
Quart,
jsonify,
make_response,
request,
send_from_directory,
render_template,
current_app,
)
from openai import AsyncAzureOpenAI
from azure.identity.aio import (
DefaultAzureCredential,
get_bearer_token_provider
)
from backend.auth.auth_utils import get_authenticated_user_details
from backend.security.ms_defender_utils import get_msdefender_user_json
from backend.history.cosmosdbservice import CosmosConversationClient
from backend.settings import (
app_settings,
MINIMUM_SUPPORTED_AZURE_OPENAI_PREVIEW_API_VERSION
)
from backend.utils import (
format_as_ndjson,
format_stream_response,
format_non_streaming_response,
convert_to_pf_format,
format_pf_non_streaming_response,
)
bp = Blueprint("routes", __name__, static_folder="static", template_folder="static")
cosmos_db_ready = asyncio.Event()
def create_app():
app = Quart(__name__)
app.register_blueprint(bp)
app.config["TEMPLATES_AUTO_RELOAD"] = True
@app.before_serving
async def init():
try:
app.cosmos_conversation_client = await init_cosmosdb_client()
cosmos_db_ready.set()
except Exception as e:
logging.exception("Failed to initialize CosmosDB client")
app.cosmos_conversation_client = None
raise e
return app
@bp.route("/")
async def index():
return await render_template(
"index.html",
title=app_settings.ui.title,
favicon=app_settings.ui.favicon
)
@bp.route("/favicon.ico")
async def favicon():
return await bp.send_static_file("favicon.ico")
@bp.route("/assets/<path:path>")
async def assets(path):
return await send_from_directory("static/assets", path)
# Debug settings
DEBUG = os.environ.get("DEBUG", "false")
if DEBUG.lower() == "true":
logging.basicConfig(level=logging.DEBUG)
USER_AGENT = "GitHubSampleWebApp/AsyncAzureOpenAI/1.0.0"
# Frontend Settings via Environment Variables
frontend_settings = {
"auth_enabled": app_settings.base_settings.auth_enabled,
"feedback_enabled": (
app_settings.chat_history and
app_settings.chat_history.enable_feedback
),
"ui": {
"title": app_settings.ui.title,
"logo": app_settings.ui.logo,
"chat_logo": app_settings.ui.chat_logo or app_settings.ui.logo,
"chat_title": app_settings.ui.chat_title,
"chat_description": app_settings.ui.chat_description,
"show_share_button": app_settings.ui.show_share_button,
"show_chat_history_button": app_settings.ui.show_chat_history_button,
},
"sanitize_answer": app_settings.base_settings.sanitize_answer,
"oyd_enabled": app_settings.base_settings.datasource_type,
}
# Enable Microsoft Defender for Cloud Integration
MS_DEFENDER_ENABLED = os.environ.get("MS_DEFENDER_ENABLED", "true").lower() == "true"
# Initialize Azure OpenAI Client
async def init_openai_client():
azure_openai_client = None
try:
# API version check
if (
app_settings.azure_openai.preview_api_version
< MINIMUM_SUPPORTED_AZURE_OPENAI_PREVIEW_API_VERSION
):
raise ValueError(
f"The minimum supported Azure OpenAI preview API version is '{MINIMUM_SUPPORTED_AZURE_OPENAI_PREVIEW_API_VERSION}'"
)
# Endpoint
if (
not app_settings.azure_openai.endpoint and
not app_settings.azure_openai.resource
):
raise ValueError(
"AZURE_OPENAI_ENDPOINT or AZURE_OPENAI_RESOURCE is required"
)
endpoint = (
app_settings.azure_openai.endpoint
if app_settings.azure_openai.endpoint
else f"https://{app_settings.azure_openai.resource}.openai.azure.com/"
)
# Authentication
aoai_api_key = app_settings.azure_openai.key
ad_token_provider = None
if not aoai_api_key:
logging.debug("No AZURE_OPENAI_KEY found, using Azure Entra ID auth")
async with DefaultAzureCredential() as credential:
ad_token_provider = get_bearer_token_provider(
credential,
"https://cognitiveservices.azure.com/.default"
)
# Deployment
deployment = app_settings.azure_openai.model
if not deployment:
raise ValueError("AZURE_OPENAI_MODEL is required")
# Default Headers
default_headers = {"x-ms-useragent": USER_AGENT}
azure_openai_client = AsyncAzureOpenAI(
api_version=app_settings.azure_openai.preview_api_version,
api_key=aoai_api_key,
azure_ad_token_provider=ad_token_provider,
default_headers=default_headers,
azure_endpoint=endpoint,
)
return azure_openai_client
except Exception as e:
logging.exception("Exception in Azure OpenAI initialization", e)
azure_openai_client = None
raise e
async def init_cosmosdb_client():
cosmos_conversation_client = None
if app_settings.chat_history:
try:
cosmos_endpoint = (
f"https://{app_settings.chat_history.account}.documents.azure.com:443/"
)
if not app_settings.chat_history.account_key:
async with DefaultAzureCredential() as cred:
credential = cred
else:
credential = app_settings.chat_history.account_key
cosmos_conversation_client = CosmosConversationClient(
cosmosdb_endpoint=cosmos_endpoint,
credential=credential,
database_name=app_settings.chat_history.database,
container_name=app_settings.chat_history.conversations_container,
enable_message_feedback=app_settings.chat_history.enable_feedback,
)
except Exception as e:
logging.exception("Exception in CosmosDB initialization", e)
cosmos_conversation_client = None
raise e
else:
logging.debug("CosmosDB not configured")
return cosmos_conversation_client
def prepare_model_args(request_body, request_headers):
request_messages = request_body.get("messages", [])
messages = []
if not app_settings.datasource:
messages = [
{
"role": "system",
"content": app_settings.azure_openai.system_message
}
]
for message in request_messages:
if message:
if message["role"] == "assistant" and "context" in message:
context_obj = json.loads(message["context"])
messages.append(
{
"role": message["role"],
"content": message["content"],
"context": context_obj
}
)
else:
messages.append(
{
"role": message["role"],
"content": message["content"]
}
)
user_json = None
if (MS_DEFENDER_ENABLED):
authenticated_user_details = get_authenticated_user_details(request_headers)
conversation_id = request_body.get("conversation_id", None)
user_json = get_msdefender_user_json(authenticated_user_details, request_headers, conversation_id)
model_args = {
"messages": messages,
"temperature": app_settings.azure_openai.temperature,
"max_tokens": app_settings.azure_openai.max_tokens,
"top_p": app_settings.azure_openai.top_p,
"stop": app_settings.azure_openai.stop_sequence,
"stream": app_settings.azure_openai.stream,
"model": app_settings.azure_openai.model,
"user": user_json
}
if app_settings.datasource:
model_args["extra_body"] = {
"data_sources": [
app_settings.datasource.construct_payload_configuration(
request=request
)
]
}
model_args_clean = copy.deepcopy(model_args)
if model_args_clean.get("extra_body"):
secret_params = [
"key",
"connection_string",
"embedding_key",
"encoded_api_key",
"api_key",
]
for secret_param in secret_params:
if model_args_clean["extra_body"]["data_sources"][0]["parameters"].get(
secret_param
):
model_args_clean["extra_body"]["data_sources"][0]["parameters"][
secret_param
] = "*****"
authentication = model_args_clean["extra_body"]["data_sources"][0][
"parameters"
].get("authentication", {})
for field in authentication:
if field in secret_params:
model_args_clean["extra_body"]["data_sources"][0]["parameters"][
"authentication"
][field] = "*****"
embeddingDependency = model_args_clean["extra_body"]["data_sources"][0][
"parameters"
].get("embedding_dependency", {})
if "authentication" in embeddingDependency:
for field in embeddingDependency["authentication"]:
if field in secret_params:
model_args_clean["extra_body"]["data_sources"][0]["parameters"][
"embedding_dependency"
]["authentication"][field] = "*****"
logging.debug(f"REQUEST BODY: {json.dumps(model_args_clean, indent=4)}")
return model_args
async def promptflow_request(request):
try:
headers = {
"Content-Type": "application/json",
"Authorization": f"Bearer {app_settings.promptflow.api_key}",
}
# Adding timeout for scenarios where response takes longer to come back
logging.debug(f"Setting timeout to {app_settings.promptflow.response_timeout}")
async with httpx.AsyncClient(
timeout=float(app_settings.promptflow.response_timeout)
) as client:
pf_formatted_obj = convert_to_pf_format(
request,
app_settings.promptflow.request_field_name,
app_settings.promptflow.response_field_name
)
# NOTE: This only support question and chat_history parameters
# If you need to add more parameters, you need to modify the request body
response = await client.post(
app_settings.promptflow.endpoint,
json={
app_settings.promptflow.request_field_name: pf_formatted_obj[-1]["inputs"][app_settings.promptflow.request_field_name],
"chat_history": pf_formatted_obj[:-1],
},
headers=headers,
)
resp = response.json()
resp["id"] = request["messages"][-1]["id"]
return resp
except Exception as e:
logging.error(f"An error occurred while making promptflow_request: {e}")
async def send_chat_request(request_body, request_headers):
filtered_messages = []
messages = request_body.get("messages", [])
for message in messages:
if message.get("role") != 'tool':
filtered_messages.append(message)
request_body['messages'] = filtered_messages
model_args = prepare_model_args(request_body, request_headers)
try:
azure_openai_client = await init_openai_client()
raw_response = await azure_openai_client.chat.completions.with_raw_response.create(**model_args)
response = raw_response.parse()
apim_request_id = raw_response.headers.get("apim-request-id")
except Exception as e:
logging.exception("Exception in send_chat_request")
raise e
return response, apim_request_id
async def complete_chat_request(request_body, request_headers):
if app_settings.base_settings.use_promptflow:
response = await promptflow_request(request_body)
history_metadata = request_body.get("history_metadata", {})
return format_pf_non_streaming_response(
response,
history_metadata,
app_settings.promptflow.response_field_name,
app_settings.promptflow.citations_field_name
)
else:
response, apim_request_id = await send_chat_request(request_body, request_headers)
history_metadata = request_body.get("history_metadata", {})
return format_non_streaming_response(response, history_metadata, apim_request_id)
async def stream_chat_request(request_body, request_headers):
response, apim_request_id = await send_chat_request(request_body, request_headers)
history_metadata = request_body.get("history_metadata", {})
async def generate():
async for completionChunk in response:
yield format_stream_response(completionChunk, history_metadata, apim_request_id)
return generate()
async def conversation_internal(request_body, request_headers):
try:
if app_settings.azure_openai.stream and not app_settings.base_settings.use_promptflow:
result = await stream_chat_request(request_body, request_headers)
response = await make_response(format_as_ndjson(result))
response.timeout = None
response.mimetype = "application/json-lines"
return response
else:
result = await complete_chat_request(request_body, request_headers)
return jsonify(result)
except Exception as ex:
logging.exception(ex)
if hasattr(ex, "status_code"):
return jsonify({"error": str(ex)}), ex.status_code
else:
return jsonify({"error": str(ex)}), 500
@bp.route("/conversation", methods=["POST"])
async def conversation():
if not request.is_json:
return jsonify({"error": "request must be json"}), 415
request_json = await request.get_json()
return await conversation_internal(request_json, request.headers)
@bp.route("/frontend_settings", methods=["GET"])
def get_frontend_settings():
try:
return jsonify(frontend_settings), 200
except Exception as e:
logging.exception("Exception in /frontend_settings")
return jsonify({"error": str(e)}), 500
## Conversation History API ##
@bp.route("/history/generate", methods=["POST"])
async def add_conversation():
await cosmos_db_ready.wait()
authenticated_user = get_authenticated_user_details(request_headers=request.headers)
user_id = authenticated_user["user_principal_id"]
## check request for conversation_id
request_json = await request.get_json()
conversation_id = request_json.get("conversation_id", None)
try:
# make sure cosmos is configured
if not current_app.cosmos_conversation_client:
raise Exception("CosmosDB is not configured or not working")
# check for the conversation_id, if the conversation is not set, we will create a new one
history_metadata = {}
if not conversation_id:
title = await generate_title(request_json["messages"])
conversation_dict = await current_app.cosmos_conversation_client.create_conversation(
user_id=user_id, title=title
)
conversation_id = conversation_dict["id"]
history_metadata["title"] = title
history_metadata["date"] = conversation_dict["createdAt"]
## Format the incoming message object in the "chat/completions" messages format
## then write it to the conversation history in cosmos
messages = request_json["messages"]
if len(messages) > 0 and messages[-1]["role"] == "user":
createdMessageValue = await current_app.cosmos_conversation_client.create_message(
uuid=str(uuid.uuid4()),
conversation_id=conversation_id,
user_id=user_id,
input_message=messages[-1],
)
if createdMessageValue == "Conversation not found":
raise Exception(
"Conversation not found for the given conversation ID: "
+ conversation_id
+ "."
)
else:
raise Exception("No user message found")
# Submit request to Chat Completions for response
request_body = await request.get_json()
history_metadata["conversation_id"] = conversation_id
request_body["history_metadata"] = history_metadata
return await conversation_internal(request_body, request.headers)
except Exception as e:
logging.exception("Exception in /history/generate")
return jsonify({"error": str(e)}), 500
@bp.route("/history/update", methods=["POST"])
async def update_conversation():
await cosmos_db_ready.wait()
authenticated_user = get_authenticated_user_details(request_headers=request.headers)
user_id = authenticated_user["user_principal_id"]
## check request for conversation_id
request_json = await request.get_json()
conversation_id = request_json.get("conversation_id", None)
try:
# make sure cosmos is configured
if not current_app.cosmos_conversation_client:
raise Exception("CosmosDB is not configured or not working")
# check for the conversation_id, if the conversation is not set, we will create a new one
if not conversation_id:
raise Exception("No conversation_id found")
## Format the incoming message object in the "chat/completions" messages format
## then write it to the conversation history in cosmos
messages = request_json["messages"]
if len(messages) > 0 and messages[-1]["role"] == "assistant":
if len(messages) > 1 and messages[-2].get("role", None) == "tool":
# write the tool message first
await current_app.cosmos_conversation_client.create_message(
uuid=str(uuid.uuid4()),
conversation_id=conversation_id,
user_id=user_id,
input_message=messages[-2],
)
# write the assistant message
await current_app.cosmos_conversation_client.create_message(
uuid=messages[-1]["id"],
conversation_id=conversation_id,
user_id=user_id,
input_message=messages[-1],
)
else:
raise Exception("No bot messages found")
# Submit request to Chat Completions for response
response = {"success": True}
return jsonify(response), 200
except Exception as e:
logging.exception("Exception in /history/update")
return jsonify({"error": str(e)}), 500
@bp.route("/history/message_feedback", methods=["POST"])
async def update_message():
await cosmos_db_ready.wait()
authenticated_user = get_authenticated_user_details(request_headers=request.headers)
user_id = authenticated_user["user_principal_id"]
## check request for message_id
request_json = await request.get_json()
message_id = request_json.get("message_id", None)
message_feedback = request_json.get("message_feedback", None)
try:
if not message_id:
return jsonify({"error": "message_id is required"}), 400
if not message_feedback:
return jsonify({"error": "message_feedback is required"}), 400
## update the message in cosmos
updated_message = await current_app.cosmos_conversation_client.update_message_feedback(
user_id, message_id, message_feedback
)
if updated_message:
return (
jsonify(
{
"message": f"Successfully updated message with feedback {message_feedback}",
"message_id": message_id,
}
),
200,
)
else:
return (
jsonify(
{
"error": f"Unable to update message {message_id}. It either does not exist or the user does not have access to it."
}
),
404,
)
except Exception as e:
logging.exception("Exception in /history/message_feedback")
return jsonify({"error": str(e)}), 500
@bp.route("/history/delete", methods=["DELETE"])
async def delete_conversation():
await cosmos_db_ready.wait()
## get the user id from the request headers
authenticated_user = get_authenticated_user_details(request_headers=request.headers)
user_id = authenticated_user["user_principal_id"]
## check request for conversation_id
request_json = await request.get_json()
conversation_id = request_json.get("conversation_id", None)
try:
if not conversation_id:
return jsonify({"error": "conversation_id is required"}), 400
## make sure cosmos is configured
if not current_app.cosmos_conversation_client:
raise Exception("CosmosDB is not configured or not working")
## delete the conversation messages from cosmos first
deleted_messages = await current_app.cosmos_conversation_client.delete_messages(
conversation_id, user_id
)
## Now delete the conversation
deleted_conversation = await current_app.cosmos_conversation_client.delete_conversation(
user_id, conversation_id
)
return (
jsonify(
{
"message": "Successfully deleted conversation and messages",
"conversation_id": conversation_id,
}
),
200,
)
except Exception as e:
logging.exception("Exception in /history/delete")
return jsonify({"error": str(e)}), 500
@bp.route("/history/list", methods=["GET"])
async def list_conversations():
await cosmos_db_ready.wait()
offset = request.args.get("offset", 0)
authenticated_user = get_authenticated_user_details(request_headers=request.headers)
user_id = authenticated_user["user_principal_id"]
## make sure cosmos is configured
if not current_app.cosmos_conversation_client:
raise Exception("CosmosDB is not configured or not working")
## get the conversations from cosmos
conversations = await current_app.cosmos_conversation_client.get_conversations(
user_id, offset=offset, limit=25
)
if not isinstance(conversations, list):
return jsonify({"error": f"No conversations for {user_id} were found"}), 404
## return the conversation ids
return jsonify(conversations), 200
@bp.route("/history/read", methods=["POST"])
async def get_conversation():
await cosmos_db_ready.wait()
authenticated_user = get_authenticated_user_details(request_headers=request.headers)
user_id = authenticated_user["user_principal_id"]
## check request for conversation_id
request_json = await request.get_json()
conversation_id = request_json.get("conversation_id", None)
if not conversation_id:
return jsonify({"error": "conversation_id is required"}), 400
## make sure cosmos is configured
if not current_app.cosmos_conversation_client:
raise Exception("CosmosDB is not configured or not working")
## get the conversation object and the related messages from cosmos
conversation = await current_app.cosmos_conversation_client.get_conversation(
user_id, conversation_id
)
## return the conversation id and the messages in the bot frontend format
if not conversation:
return (
jsonify(
{
"error": f"Conversation {conversation_id} was not found. It either does not exist or the logged in user does not have access to it."
}
),
404,
)
# get the messages for the conversation from cosmos
conversation_messages = await current_app.cosmos_conversation_client.get_messages(
user_id, conversation_id
)
## format the messages in the bot frontend format
messages = [
{
"id": msg["id"],
"role": msg["role"],
"content": msg["content"],
"createdAt": msg["createdAt"],
"feedback": msg.get("feedback"),
}
for msg in conversation_messages
]
return jsonify({"conversation_id": conversation_id, "messages": messages}), 200
@bp.route("/history/rename", methods=["POST"])
async def rename_conversation():
await cosmos_db_ready.wait()
authenticated_user = get_authenticated_user_details(request_headers=request.headers)
user_id = authenticated_user["user_principal_id"]
## check request for conversation_id
request_json = await request.get_json()
conversation_id = request_json.get("conversation_id", None)
if not conversation_id:
return jsonify({"error": "conversation_id is required"}), 400
## make sure cosmos is configured
if not current_app.cosmos_conversation_client:
raise Exception("CosmosDB is not configured or not working")
## get the conversation from cosmos
conversation = await current_app.cosmos_conversation_client.get_conversation(
user_id, conversation_id
)
if not conversation:
return (
jsonify(
{
"error": f"Conversation {conversation_id} was not found. It either does not exist or the logged in user does not have access to it."
}
),
404,
)
## update the title
title = request_json.get("title", None)
if not title:
return jsonify({"error": "title is required"}), 400
conversation["title"] = title
updated_conversation = await current_app.cosmos_conversation_client.upsert_conversation(
conversation
)
return jsonify(updated_conversation), 200
@bp.route("/history/delete_all", methods=["DELETE"])
async def delete_all_conversations():
await cosmos_db_ready.wait()
## get the user id from the request headers
authenticated_user = get_authenticated_user_details(request_headers=request.headers)
user_id = authenticated_user["user_principal_id"]
# get conversations for user
try:
## make sure cosmos is configured
if not current_app.cosmos_conversation_client:
raise Exception("CosmosDB is not configured or not working")
conversations = await current_app.cosmos_conversation_client.get_conversations(
user_id, offset=0, limit=None
)
if not conversations:
return jsonify({"error": f"No conversations for {user_id} were found"}), 404
# delete each conversation
for conversation in conversations:
## delete the conversation messages from cosmos first
deleted_messages = await current_app.cosmos_conversation_client.delete_messages(
conversation["id"], user_id
)
## Now delete the conversation
deleted_conversation = await current_app.cosmos_conversation_client.delete_conversation(
user_id, conversation["id"]
)
return (
jsonify(
{
"message": f"Successfully deleted conversation and messages for user {user_id}"
}
),
200,
)
except Exception as e:
logging.exception("Exception in /history/delete_all")
return jsonify({"error": str(e)}), 500
@bp.route("/history/clear", methods=["POST"])
async def clear_messages():
await cosmos_db_ready.wait()
## get the user id from the request headers
authenticated_user = get_authenticated_user_details(request_headers=request.headers)
user_id = authenticated_user["user_principal_id"]
## check request for conversation_id
request_json = await request.get_json()
conversation_id = request_json.get("conversation_id", None)
try:
if not conversation_id:
return jsonify({"error": "conversation_id is required"}), 400
## make sure cosmos is configured
if not current_app.cosmos_conversation_client:
raise Exception("CosmosDB is not configured or not working")
## delete the conversation messages from cosmos
deleted_messages = await current_app.cosmos_conversation_client.delete_messages(
conversation_id, user_id
)
return (
jsonify(
{
"message": "Successfully deleted messages in conversation",
"conversation_id": conversation_id,
}
),
200,
)
except Exception as e:
logging.exception("Exception in /history/clear_messages")
return jsonify({"error": str(e)}), 500
@bp.route("/history/ensure", methods=["GET"])
async def ensure_cosmos():
await cosmos_db_ready.wait()
if not app_settings.chat_history:
return jsonify({"error": "CosmosDB is not configured"}), 404
try:
success, err = await current_app.cosmos_conversation_client.ensure()
if not current_app.cosmos_conversation_client or not success:
if err:
return jsonify({"error": err}), 422
return jsonify({"error": "CosmosDB is not configured or not working"}), 500
return jsonify({"message": "CosmosDB is configured and working"}), 200
except Exception as e:
logging.exception("Exception in /history/ensure")
cosmos_exception = str(e)
if "Invalid credentials" in cosmos_exception:
return jsonify({"error": cosmos_exception}), 401
elif "Invalid CosmosDB database name" in cosmos_exception:
return (
jsonify(
{
"error": f"{cosmos_exception} {app_settings.chat_history.database} for account {app_settings.chat_history.account}"
}
),
422,
)
elif "Invalid CosmosDB container name" in cosmos_exception:
return (
jsonify(
{
"error": f"{cosmos_exception}: {app_settings.chat_history.conversations_container}"
}
),
422,
)
else:
return jsonify({"error": "CosmosDB is not working"}), 500
async def generate_title(conversation_messages) -> str:
## make sure the messages are sorted by _ts descending
title_prompt = "Summarize the conversation so far into a 4-word or less title. Do not use any quotation marks or punctuation. Do not include any other commentary or description."
messages = [
{"role": msg["role"], "content": msg["content"]}
for msg in conversation_messages
]
messages.append({"role": "user", "content": title_prompt})
try:
azure_openai_client = await init_openai_client()
response = await azure_openai_client.chat.completions.create(
model=app_settings.azure_openai.model, messages=messages, temperature=1, max_tokens=64
)
title = response.choices[0].message.content
return title
except Exception as e:
logging.exception("Exception while generating title", e)
return messages[-2]["content"]
app = create_app()