From 3619010b2ce835bcadca9a33e61fafe263397650 Mon Sep 17 00:00:00 2001 From: ariannevjestic Date: Fri, 26 Jul 2024 20:05:19 +0800 Subject: [PATCH] cleaned up logging, exception handling aorund streaming disconnects, fixed bug aorund completion tokens missing on embbedding endpoints for logging workers --- aisentry/facade/app.py | 83 ++++++++++-------- aisentry/utils/ai_sentry_helpers.py | 14 +-- .../worker/cosmos_logger/cosmos_logger.py | 14 +-- aisentry/worker/usage_summary/usage_logger.py | 10 +-- content/images/cosmosdb_request_logs.png | Bin 0 -> 64254 bytes content/images/cosmosdb_summary_logs.png | Bin 65817 -> 63189 bytes tests/http/adapter_test-ai-sentry.http | 26 ++++++ tests/http/adapter_test-apim.http | 22 +++++ tests/http/non_streaming_embedding.http | 5 +- tests/loadTests/embeddings/locust.py | 22 +++++ tests/loadTests/streaming/locustfile.py | 10 ++- tests/sdk/embedding.py | 2 +- 12 files changed, 145 insertions(+), 63 deletions(-) create mode 100644 content/images/cosmosdb_request_logs.png create mode 100644 tests/http/adapter_test-ai-sentry.http create mode 100644 tests/http/adapter_test-apim.http create mode 100644 tests/loadTests/embeddings/locust.py diff --git a/aisentry/facade/app.py b/aisentry/facade/app.py index d1b3dd4..063c91a 100644 --- a/aisentry/facade/app.py +++ b/aisentry/facade/app.py @@ -3,7 +3,7 @@ import uuid from datetime import datetime from dapr.clients import DaprClient -import aiohttp +import httpcore from enum import Enum from typing import Tuple from quart import Quart, jsonify, request, make_response @@ -12,6 +12,7 @@ from urllib.parse import urljoin from datetime import datetime, timezone import httpx +from requests.exceptions import HTTPError import jwt import json from dotenv import load_dotenv @@ -107,7 +108,6 @@ async def catch_all(path): logger.info(f"ai-sentry adapters used: {ai_sentry_adapters}") ai_sentry_adapters_json = json.loads(ai_sentry_adapters) - logger.info(f"Selected pool name: {pool_name}") # Create a new set of headers that exclude the ai-sentry specific headers which we will forward onto openAI endpoints @@ -115,7 +115,10 @@ async def catch_all(path): openAI_request_headers = {k: v for k, v in original_headers.items() if k.lower() not in exclude_headers} pool_endpoints = select_pool(open_ai_endpoint_availability_stats, pool_name) - logger.info(f"Selected pool: {pool_endpoints}") + + #strip api-key value if it is in use + pool_endpoints_without_api_key = [{k: v for k, v in endpoint.items() if k != 'api-key'} for endpoint in pool_endpoints] + logger.info(f"Selected pool: {pool_endpoints_without_api_key}") while not request_processed and current_retry <= max_retries: logger.info(f"Processing request retry#: {current_retry}") @@ -178,20 +181,32 @@ async def catch_all(path): # potentially recieve a timeout or a HTTP > 499 response.raise_for_status() current_retry += 1 + + except httpcore.ConnectTimeout as timeout_err: + logger.error(f"Connection timed out: {timeout_err}") + return jsonify(error=str(timeout_err)), 500 + + except HTTPError as http_err: + logger.info(f"HTTP error occurred: {http_err}") + if http_err.response.status_code == 429: # 429 is the status code for Too Many Requests + logger.info(f"Received 429 response from endpoint, retrying next available endpoint") + current_retry += 1 + endpoint_info["connection_errors_count"]+=1 + request_processed = False + continue except Exception as e: - # Connection Failures - logger.error(f"An unexpected error occurred: {e}") - # increment connection errors count for the endpoint - endpoint_info["connection_errors_count"]+=1 - current_retry += 1 - continue - - if response.status_code == 429: - logger.info(f"Received 429 response from endpoint, retrying next avilable endpoint") - current_retry += 1 - continue + # Connection Failures + logger.error(f"An unexpected error occurred: {e}") + if "429 Too Many Requests" in str(e): + logger.info(f"Received 429 response from endpoint, retrying next available endpoint") + current_retry += 1 + endpoint_info["connection_errors_count"]+=1 + request_processed = False + continue + + return jsonify(error=str(e)), 500 @stream_with_context @@ -204,7 +219,7 @@ async def stream_response(response): response_stream = [] global model_name global openai_response_id - + async for line in response.aiter_lines(): yield f"{line}\r\n" if line.startswith("data: "): @@ -223,6 +238,7 @@ async def stream_response(response): if delta.get('content') is not None: content_buffered.append(delta['content']) + content_buffered_string = "".join(content_buffered) # Calculate the token count using tiktok library @@ -234,13 +250,15 @@ async def stream_response(response): logger.info(f"Streamed completion total Token count: {streaming_completion_token_count}") logger.info(f"Streamed prompt total Token count: {streaming_prompt_token_count}") - - proxy_streaming_response = await make_response( stream_response(response)) - proxy_streaming_response_body = await proxy_streaming_response.data - proxy_streaming_response.timeout = None - proxy_streaming_response.status_code = response.status_code - proxy_streaming_response.headers = {k: str(v) for k, v in response.headers.items()} - + try: + proxy_streaming_response = await make_response( stream_response(response)) + proxy_streaming_response_body = await proxy_streaming_response.data + proxy_streaming_response.timeout = None + proxy_streaming_response.status_code = response.status_code + proxy_streaming_response.headers = {k: str(v) for k, v in response.headers.items()} + except Exception as e: + logger.error(f"An error occurred while streaming response: {e}") + return jsonify(error=str(e)), 500 # Record the stats for openAi endpoints if proxy_streaming_response.headers.get("x-ratelimit-remaining-tokens") is not None: @@ -251,6 +269,7 @@ async def stream_response(response): if proxy_streaming_response.headers.get("x-ratelimit-remaining-requests") is not None: endpoint_info["x-ratelimit-remaining-requests"]=response.headers["x-ratelimit-remaining-requests"] else: + endpoint_info["x-ratelimit-remaining-tokens"]=0 endpoint_info["x-ratelimit-remaining-requests"]=0 utc_now = datetime.now(timezone.utc).isoformat().replace('+00:00', 'Z') @@ -300,19 +319,6 @@ async def stream_response(response): try: response = await client.send(req, stream=False) response.raise_for_status() - # except httpx.TimeoutException: - # logger.error("A TimeoutException occurred.") - # except httpx.ConnectTimeout: - # logger.error("A ConnectTimeout occurred.") - # except httpx.ReadTimeout: - # logger.error("A ReadTimeout occurred.") - # except httpx.HTTPStatusError: - # logger.error("A TooManyRequests occurred.") - # #increment connection errors count for the endpoint - # endpoint_info["connection_errors_count"]+=1 - # current_retry += 1 - # request_processed = False - # break except Exception as e: # Connection Failures @@ -325,12 +331,13 @@ async def stream_response(response): request_processed = False continue - # If response is a 429 Incremet retry count - to pick next aviable endpoint + # If response is a 429 Increment retry count - to pick next aviable endpoint if response.status_code == 429: logger.info(f"Received 429 response from endpoint, retrying next available endpoint") #endpoint_info["x-retry-after-ms"]=response.headers["x-retry-after-ms"] current_retry += 1 + endpoint_info["connection_errors_count"]+=1 request_processed = False continue @@ -396,6 +403,4 @@ async def stream_response(response): return proxy_response - return jsonify(message=f"Request failed to process. Attempted to run: {current_retry}, against AI endpoint configuration unsucessfully"), 500 - - + return jsonify(message=f"Request failed to process. Attempted to run: {current_retry}, against AI endpoint configuration unsucessfully"), 500 \ No newline at end of file diff --git a/aisentry/utils/ai_sentry_helpers.py b/aisentry/utils/ai_sentry_helpers.py index 0e52403..ec2885c 100644 --- a/aisentry/utils/ai_sentry_helpers.py +++ b/aisentry/utils/ai_sentry_helpers.py @@ -49,9 +49,9 @@ def select_pool(pool_endpoints, pool_name): return pool_endpoints.get(pool_name, None) async def getNextAvailableEndpointInfo(open_ai_endpoint_availability_stats): - logger.info(f"open_ai_endpoint_availability_stats: {open_ai_endpoint_availability_stats}") - remaining_requests = sorted(open_ai_endpoint_availability_stats ,key=lambda x: int(x['x-ratelimit-remaining-requests'], reverse=True))[0] - remaining_tokens = sorted(open_ai_endpoint_availability_stats ,key=lambda x: int(x['x-ratelimit-remaining-tokens'], reverse=True))[0] + logger.debug(f"open_ai_endpoint_availability_stats: {open_ai_endpoint_availability_stats}") + remaining_requests = sorted(open_ai_endpoint_availability_stats ,key=lambda x: int(x['x-ratelimit-remaining-requests']), reverse=True)[0] + remaining_tokens = sorted(open_ai_endpoint_availability_stats ,key=lambda x: int(x['x-ratelimit-remaining-tokens']), reverse=True)[0] logger.info(f"Next available endpoint: {remaining_requests['url']}") # Add a new key 'max_limit' to each dictionary that is the maximum of 'x-ratelimit-remaining-requests' and 'x-ratelimit-remaining-tokens' @@ -143,9 +143,9 @@ def to_dict(self): 'model': self.model, 'timestamp': self.timestamp, 'ProductId': self.product_id, - 'promptTokens': self.usage['prompt_tokens'], - 'responseTokens': self.usage['completion_tokens'], - 'totalTokens': self.usage['total_tokens'], + 'promptTokens': self.usage['prompt_tokens'] if self.usage is not None else None, + 'responseTokens': self.usage.get('completion_tokens', None) if self.usage is not None else None, + 'totalTokens': self.usage.get('total_tokens', None) if self.usage is not None else None , 'month_year': self.month_year } @@ -179,7 +179,7 @@ def to_dict(self): } class Usage: - def __init__(self, completion_tokens, prompt_tokens, total_tokens): + def __init__(self, completion_tokens=None, prompt_tokens=None, total_tokens=None): self.completion_tokens = completion_tokens self.prompt_tokens = prompt_tokens self.total_tokens = total_tokens diff --git a/aisentry/worker/cosmos_logger/cosmos_logger.py b/aisentry/worker/cosmos_logger/cosmos_logger.py index 9040298..1add488 100644 --- a/aisentry/worker/cosmos_logger/cosmos_logger.py +++ b/aisentry/worker/cosmos_logger/cosmos_logger.py @@ -53,24 +53,28 @@ async def oairequests_subscriber(): logger.debug(f"Received a request to log data{data}") - response_body = data.get('response_body') + response_body = data.get('response_body', None) - consumer_id=data['sentry_ai_headers'].get('ai-sentry-consumer') - model_name=data.get('model','null') - openai_response_id=data.get('openai_response_id','null') + consumer_id=data['sentry_ai_headers'].get('ai-sentry-consumer', None) + log_level=data['sentry_ai_headers'].get('ai-sentry-log-level', None) + model_name=data.get('model',None) + openai_response_id=data.get('openai_response_id',None) date = datetime.datetime.fromisoformat(data.get('date_time_utc')) month_date = date.strftime("%m_%Y") logger.info('Consumer Product Id: %s', consumer_id) logger.info('LogId: %s', model_name) + logger.info('LogLevel: %s', log_level) data['LogId']=f"{model_name}_{consumer_id}_{month_date}" data['id']=openai_response_id + data['logLevel']=log_level + output_binding_data = json.dumps(data) data = {key.lower(): value for key, value in data.items()} - headers = data['sentry_ai_headers'] + headers = data.get('sentry_ai_headers', None) if headers['ai-sentry-log-level'] == 'PII_STRIPPING_ENABLED': diff --git a/aisentry/worker/usage_summary/usage_logger.py b/aisentry/worker/usage_summary/usage_logger.py index f0c9123..984b94f 100644 --- a/aisentry/worker/usage_summary/usage_logger.py +++ b/aisentry/worker/usage_summary/usage_logger.py @@ -55,11 +55,11 @@ async def oairequests_subscriber(): logger.debug(f"Received a request to log data{data}") - consumer_id=data['sentry_ai_headers'].get('ai-sentry-consumer') - model_name=data['model'] - usage_info=data['usage'] - openai_response_id=data['openai_response_id'] - date = datetime.datetime.fromisoformat(data['date_time_utc']) + consumer_id=data['sentry_ai_headers'].get('ai-sentry-consumer', None) + model_name = data.get('model', None) + usage_info=data.get('usage', None) + openai_response_id=data.get('openai_response_id', None) + date = datetime.datetime.fromisoformat(data.get('date_time_utc', None)) month_date = date.strftime("%m_%Y") logger.info('Consumer Product Id: %s', consumer_id) diff --git a/content/images/cosmosdb_request_logs.png b/content/images/cosmosdb_request_logs.png new file mode 100644 index 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z9oaRoTgwO}Dmq7zMU(&MAJ(%pfjNC>GseO73=1{C>+BzJV6jPYXwW!MfgEfeQkIvjAFsARQlPCo}ZC@f_3t2&5_o%`8AOebFQ0o_Oj8bCe}0fp$zrCrNV1gHv9xAuv7205#Q|5q zpXn^Z1{>IXMGn$&qZZ0`$=XU?EVMYjlFrF@PTQY8A}j4+Ck_HgOjX7xeNb`_o0^P( zieF;j%4BPZZQ$JIlAaJ6l=PmGFIu7P?dvIEK<#ag+O zf0!vWBPkTN`J`^px!s`*yVM>uYvqJn1YNDsBML4;Gv_(e2giOD*&;oyTSxpRe&*9wzigPsHCfwmw2rYhLDTW}e*hSQ==}fy diff --git a/tests/http/adapter_test-ai-sentry.http b/tests/http/adapter_test-ai-sentry.http new file mode 100644 index 0000000..79872b6 --- /dev/null +++ b/tests/http/adapter_test-ai-sentry.http @@ -0,0 +1,26 @@ +POST http://4.200.49.22/openai/deployments/gpt-4o/chat/completions?api-version=2024-02-15-preview HTTP/1.1 +ai-sentry-consumer: Product-car-review +ai-sentry-log-level: PII_STRIPPING_ENABLED +ai-sentry-backend-pool: pool1 +ai-sentry-adapters: ["SampleApiRequestTransformer"] +Content-Type: application/json + +{ + "messages": [ + { + "role": "system", + "content": "you are a car reviewer studying japenese cars" + }, + { + "role":"user", + "content":"Write a review on toyota yaris gr" + } + ], + "stream":true, + "max_tokens": 800, + "temperature": 0.7, + "frequency_penalty": 0, + "presence_penalty": 0, + "top_p": 0.95, + "stop": null +} \ No newline at end of file diff --git a/tests/http/adapter_test-apim.http b/tests/http/adapter_test-apim.http new file mode 100644 index 0000000..2140776 --- /dev/null +++ b/tests/http/adapter_test-apim.http @@ -0,0 +1,22 @@ +POST https://anevjes-apim-001.azure-api.net/openai-2024-02-01/deployments/gpt-4o/chat/completions?api-version=2024-02-15-preview HTTP/1.1 +Content-Type: application/json + +{ + "messages": [ + { + "role": "system", + "content": "you are a car reviewer studying japenese cars" + }, + { + "role":"user", + "content":"Write a review on honda Integra DC2 Type R" + } + ], + "stream":false, + "max_tokens": 800, + "temperature": 0.7, + "frequency_penalty": 0, + "presence_penalty": 0, + "top_p": 0.95, + "stop": null +} \ No newline at end of file diff --git a/tests/http/non_streaming_embedding.http b/tests/http/non_streaming_embedding.http index 37de368..bd62531 100644 --- a/tests/http/non_streaming_embedding.http +++ b/tests/http/non_streaming_embedding.http @@ -1,14 +1,15 @@ -@resource_name = localhost:6124 +@resource_name = 4.200.52.148 @deployment_name = text-embedding-ada-002 @api_key = {{$dotenv AOAI_API_KEY}} ###‰ -POST http://{{resource_name}}/openai/deployments/{{deployment_name}}/embeddings?api-version=2024-02-01 HTTP/1.1 +POST http://{{resource_name}}/openai/deployments/{{deployment_name}}/embeddings?api-version=2024-06-01 HTTP/1.1 Content-Type: application/json api-key: {{api_key}} ai-sentry-backend-pool:pool1 ai-sentry-consumer:embedding-automated-test1 ai-sentry-log-level:PII_STRIPPING_ENABLED +ai-sentry-adapters: [] { "input": "Sample Document goes here" diff --git a/tests/loadTests/embeddings/locust.py b/tests/loadTests/embeddings/locust.py new file mode 100644 index 0000000..a3a3f5d --- /dev/null +++ b/tests/loadTests/embeddings/locust.py @@ -0,0 +1,22 @@ +from locust import HttpUser, task, between + +class EmbeddingTestUser(HttpUser): + wait_time = between(1, 5) # Simulated users will wait 1-5 seconds between tasks + + @task + def post_embedding(self): + headers = { + "Content-Type": "application/json", + "api-key": "your_api_key_here", # Replace with your actual API key + "ai-sentry-backend-pool": "pool1", + "ai-sentry-consumer": "embedding-automated-test1", + "ai-sentry-log-level": "PII_STRIPPING_ENABLED", + "ai-sentry-adapters": "[]" + } + payload = { + "input": "Sample Document goes here" + } + self.client.post("/openai/deployments/text-embedding-ada-002/embeddings?api-version=2024-06-01", json=payload, headers=headers) + +# Note: Ensure you replace "your_api_key_here" with the actual API key. +# You might also need to adjust the host in the Locust command-line or within the script if it's dynamic. \ No newline at end of file diff --git a/tests/loadTests/streaming/locustfile.py b/tests/loadTests/streaming/locustfile.py index 8d5c666..e89a225 100644 --- a/tests/loadTests/streaming/locustfile.py +++ b/tests/loadTests/streaming/locustfile.py @@ -4,10 +4,10 @@ load_dotenv(".env", override=True) -azure_endpoint = os.getenv("azure_endpoint", "http://ai-sentry-url/"), -api_key=os.getenv("api_key", "defaultkey"), +azure_endpoint = os.getenv("azure_endpoint", "http://4.195.10.69/"), +#api_key=os.getenv("api_key", "defaultkey"), api_version=os.getenv("api_version", "2023-07-01-preview"), -aoai_deployment_name = os.getenv("aoai_deployment_name", "chat") +aoai_deployment_name = os.getenv("aoai_deployment_name", "gpt4o") # Non-Streaming Load Test class OpenAIUser(HttpUser): @@ -18,7 +18,9 @@ class OpenAIUser(HttpUser): "Content-Type": "application/json", "ai-sentry-consumer": "locustloadtest", "ai-sentry-log-level": "PII_STRIPPING_ENABLED", - "api-key": "\"{}\"".format(api_key) + "ai-sentry-backend-pool": "pool1", + "ai-sentry-adapters": "[]" + #"api-key": "\"{}\"".format(api_key) } body = { diff --git a/tests/sdk/embedding.py b/tests/sdk/embedding.py index 59d3c15..a4fc4ad 100644 --- a/tests/sdk/embedding.py +++ b/tests/sdk/embedding.py @@ -7,7 +7,7 @@ client = AzureOpenAI( api_key = os.getenv("api_key"), api_version = "2024-02-01", - azure_endpoint = os.getenv("azure_endpoint", "http://localhost:6124/"), + azure_endpoint = os.getenv("azure_endpoint", "http://4.147.128.191/openai"), ) response = client.embeddings.create(