Merge pull request #3828 from BerriAI/litellm_outage_alerting

fix(slack_alerting.py): support region based outage alerting

litellm/integrations/slack_alerting.py

@@ -1,6 +1,6 @@
 #### What this does ####
 #    Class for sending Slack Alerts #
-import dotenv, os
+import dotenv, os, traceback
 from litellm.proxy._types import UserAPIKeyAuth, CallInfo
 from litellm._logging import verbose_logger, verbose_proxy_logger
 import litellm, threading
@@ -15,6 +15,34 @@ from enum import Enum
 from datetime import datetime as dt, timedelta, timezone
 from litellm.integrations.custom_logger import CustomLogger
 import random
+from typing import TypedDict
+from openai import APIError
+
+import litellm.types
+import litellm.types.router
+
+
+class OutageModel(TypedDict):
+    model_id: str
+    alerts: List[int]
+    deployment_ids: List[str]
+    minor_alert_sent: bool
+    major_alert_sent: bool
+    last_updated_at: float
+
+
+AlertType = Literal[
+    "llm_exceptions",
+    "llm_too_slow",
+    "llm_requests_hanging",
+    "budget_alerts",
+    "db_exceptions",
+    "daily_reports",
+    "spend_reports",
+    "cooldown_deployment",
+    "new_model_added",
+    "outage_alerts",
+]
 
 
 class LiteLLMBase(BaseModel):
@@ -37,6 +65,10 @@ class SlackAlertingArgs(LiteLLMBase):
     )
     report_check_interval: int = 5 * 60  # 5 minutes
     budget_alert_ttl: int = 24 * 60 * 60  # 24 hours
+    outage_alert_ttl: int = 1 * 60 * 60  # 1 hour
+    minor_outage_alert_threshold: int = 3
+    major_outage_alert_threshold: int = 10
+    max_outage_alert_list_size: int = 10  # prevent memory leak
 
 
 class WebhookEvent(CallInfo):
@@ -86,19 +118,7 @@ class SlackAlerting(CustomLogger):
         internal_usage_cache: Optional[DualCache] = None,
         alerting_threshold: float = 300,  # threshold for slow / hanging llm responses (in seconds)
         alerting: Optional[List] = [],
-        alert_types: List[
-            Literal[
-                "llm_exceptions",
-                "llm_too_slow",
-                "llm_requests_hanging",
-                "budget_alerts",
-                "db_exceptions",
-                "daily_reports",
-                "spend_reports",
-                "cooldown_deployment",
-                "new_model_added",
-            ]
-        ] = [
+        alert_types: List[AlertType] = [
             "llm_exceptions",
             "llm_too_slow",
             "llm_requests_hanging",
@@ -108,6 +128,7 @@ class SlackAlerting(CustomLogger):
             "spend_reports",
             "cooldown_deployment",
             "new_model_added",
+            "outage_alerts",
         ],
         alert_to_webhook_url: Optional[
             Dict
@@ -124,6 +145,7 @@ class SlackAlerting(CustomLogger):
         self.is_running = False
         self.alerting_args = SlackAlertingArgs(**alerting_args)
         self.default_webhook_url = default_webhook_url
+        self.llm_router: Optional[litellm.Router] = None
 
     def update_values(
         self,
@@ -132,6 +154,7 @@ class SlackAlerting(CustomLogger):
         alert_types: Optional[List] = None,
         alert_to_webhook_url: Optional[Dict] = None,
         alerting_args: Optional[Dict] = None,
+        llm_router: Optional[litellm.Router] = None,
     ):
         if alerting is not None:
             self.alerting = alerting
@@ -147,6 +170,8 @@ class SlackAlerting(CustomLogger):
                 self.alert_to_webhook_url = alert_to_webhook_url
             else:
                 self.alert_to_webhook_url.update(alert_to_webhook_url)
+        if llm_router is not None:
+            self.llm_router = llm_router
 
     async def deployment_in_cooldown(self):
         pass
@@ -696,6 +721,158 @@ class SlackAlerting(CustomLogger):
             return
         return
 
+    def _count_outage_alerts(self, alerts: List[int]) -> str:
+        """
+        Parameters:
+        - alerts: List[int] -> list of error codes (either 408 or 500+)
+
+        Returns:
+        - str -> formatted string. This is an alert message, giving a human-friendly description of the errors.
+        """
+        error_breakdown = {"Timeout Errors": 0, "API Errors": 0, "Unknown Errors": 0}
+        for alert in alerts:
+            if alert == 408:
+                error_breakdown["Timeout Errors"] += 1
+            elif alert >= 500:
+                error_breakdown["API Errors"] += 1
+            else:
+                error_breakdown["Unknown Errors"] += 1
+
+        error_msg = ""
+        for key, value in error_breakdown.items():
+            if value > 0:
+                error_msg += "\n{}: {}\n".format(key, value)
+
+        return error_msg
+
+    async def outage_alerts(
+        self,
+        exception: APIError,
+        deployment_id: str,
+    ) -> None:
+        """
+        Send slack alert if model is badly configured / having an outage (408, 401, 429, >=500).
+
+        key = model_id
+
+        value = {
+        - model_id
+        - threshold
+        - alerts []
+        }
+
+        ttl = 1hr
+        max_alerts_size = 10
+        """
+        try:
+            outage_value: Optional[OutageModel] = await self.internal_usage_cache.async_get_cache(key=deployment_id)  # type: ignore
+            if (
+                getattr(exception, "status_code", None) is None
+                or (
+                    exception.status_code != 408  # type: ignore
+                    and exception.status_code < 500  # type: ignore
+                )
+                or self.llm_router is None
+            ):
+                return
+
+            ### EXTRACT MODEL DETAILS ###
+            deployment = self.llm_router.get_deployment(model_id=deployment_id)
+            if deployment is None:
+                return
+
+            model = deployment.litellm_params.model
+            provider = deployment.litellm_params.custom_llm_provider
+            if provider is None:
+                try:
+                    model, provider, _, _ = litellm.get_llm_provider(model=model)
+                except Exception as e:
+                    provider = ""
+            api_base = litellm.get_api_base(
+                model=model, optional_params=deployment.litellm_params
+            )
+
+            if outage_value is None:
+                outage_value = OutageModel(
+                    model_id=deployment_id,
+                    alerts=[exception.status_code],  # type: ignore
+                    deployment_ids=[deployment_id],
+                    minor_alert_sent=False,
+                    major_alert_sent=False,
+                    last_updated_at=time.time(),
+                )
+
+                ## add to cache ##
+                await self.internal_usage_cache.async_set_cache(
+                    key=deployment_id,
+                    value=outage_value,
+                    ttl=self.alerting_args.outage_alert_ttl,
+                )
+                return
+
+            outage_value["alerts"].append(exception.status_code)  # type: ignore
+            outage_value["deployment_ids"].append(deployment_id)
+            outage_value["last_updated_at"] = time.time()
+
+            ## MINOR OUTAGE ALERT SENT ##
+            if (
+                outage_value["minor_alert_sent"] == False
+                and len(outage_value["alerts"])
+                >= self.alerting_args.minor_outage_alert_threshold
+            ):
+                msg = f"""\n\n
+*⚠️ Minor Service Outage*
+
+*Model Name:* `{model}`
+*Provider:* `{provider}`
+*API Base:* `{api_base}`
+
+*Errors:*
+{self._count_outage_alerts(alerts=outage_value["alerts"])}
+
+
+*Last Check:* `{round(time.time() - outage_value["last_updated_at"], 4)}s ago`\n\n
+"""
+                # send minor alert
+                _result_val = self.send_alert(
+                    message=msg, level="Medium", alert_type="outage_alerts"
+                )
+                if _result_val is not None:
+                    await _result_val
+                # set to true
+                outage_value["minor_alert_sent"] = True
+            elif (
+                outage_value["major_alert_sent"] == False
+                and len(outage_value["alerts"])
+                >= self.alerting_args.major_outage_alert_threshold
+            ):
+                msg = f"""\n\n
+*⚠️ Major Service Outage*
+
+*Model Name:* `{model}`
+*Provider:* `{provider}`
+*API Base:* `{api_base}`
+
+*Errors:*
+{self._count_outage_alerts(alerts=outage_value["alerts"])}
+
+
+*Last Check:* `{round(time.time() - outage_value["last_updated_at"], 4)}s ago`\n\n
+"""
+                # send minor alert
+                await self.send_alert(
+                    message=msg, level="High", alert_type="outage_alerts"
+                )
+                # set to true
+                outage_value["major_alert_sent"] = True
+
+            ## update cache ##
+            await self.internal_usage_cache.async_set_cache(
+                key=deployment_id, value=outage_value
+            )
+        except Exception as e:
+            pass
+
     async def model_added_alert(
         self, model_name: str, litellm_model_name: str, passed_model_info: Any
     ):
@@ -745,10 +922,12 @@ Model Info:
 ```
 """
 
-        await self.send_alert(
+        alert_val = self.send_alert(
             message=message, level="Low", alert_type="new_model_added"
         )
-        pass
+
+        if alert_val is not None and asyncio.iscoroutine(alert_val):
+            await alert_val
 
     async def model_removed_alert(self, model_name: str):
         pass
@@ -846,6 +1025,7 @@ Model Info:
             "spend_reports",
             "new_model_added",
             "cooldown_deployment",
+            "outage_alerts",
         ],
         user_info: Optional[WebhookEvent] = None,
         **kwargs,
@@ -969,18 +1149,53 @@ Model Info:
 
     async def async_log_failure_event(self, kwargs, response_obj, start_time, end_time):
         """Log failure + deployment latency"""
-        if "daily_reports" in self.alert_types:
-            model_id = (
-                kwargs.get("litellm_params", {}).get("model_info", {}).get("id", "")
-            )
-            await self.async_update_daily_reports(
-                DeploymentMetrics(
-                    id=model_id,
-                    failed_request=True,
-                    latency_per_output_token=None,
-                    updated_at=litellm.utils.get_utc_datetime(),
+        _litellm_params = kwargs.get("litellm_params", {})
+        _model_info = _litellm_params.get("model_info", {}) or {}
+        model_id = _model_info.get("id", "")
+        try:
+            if "daily_reports" in self.alert_types:
+                try:
+                    await self.async_update_daily_reports(
+                        DeploymentMetrics(
+                            id=model_id,
+                            failed_request=True,
+                            latency_per_output_token=None,
+                            updated_at=litellm.utils.get_utc_datetime(),
+                        )
+                    )
+                except Exception as e:
+                    verbose_logger.debug(f"Exception raises -{str(e)}")
+
+            if "outage_alerts" in self.alert_types and isinstance(
+                kwargs.get("exception", ""), APIError
+            ):
+                _litellm_params = litellm.types.router.LiteLLM_Params(
+                    model=kwargs.get("model", ""),
+                    **kwargs.get("litellm_params", {}),
+                    **kwargs.get("optional_params", {}),
                 )
-            )
+                _region_name = litellm.utils._get_model_region(
+                    custom_llm_provider=kwargs.get("custom_llm_provider", ""),
+                    litellm_params=_litellm_params,
+                )
+                # if region name not known, default to api base #
+                if _region_name is None:
+                    _region_name = litellm.get_api_base(
+                        model=kwargs.get("model", ""),
+                        optional_params={
+                            **kwargs.get("litellm_params", {}),
+                            **kwargs.get("optional_params", {}),
+                        },
+                    )
+                    if _region_name is None:
+                        _region_name = ""
+
+                await self.outage_alerts(
+                    exception=kwargs["exception"],
+                    deployment_id=model_id,
+                )
+        except Exception as e:
+            pass
 
     async def _run_scheduler_helper(self, llm_router) -> bool:
         """

litellm/llms/prompt_templates/factory.py

@@ -126,7 +126,7 @@ def convert_to_ollama_image(openai_image_url: str):
         else:
             base64_data = openai_image_url
 
-        return base64_data;
+        return base64_data
     except Exception as e:
         if "Error: Unable to fetch image from URL" in str(e):
             raise e
@@ -134,6 +134,7 @@ def convert_to_ollama_image(openai_image_url: str):
             """Image url not in expected format. Example Expected input - "image_url": "data:image/jpeg;base64,{base64_image}". """
         )
 
+
 def ollama_pt(
     model, messages
 ):  # https://github.com/ollama/ollama/blob/af4cf55884ac54b9e637cd71dadfe9b7a5685877/docs/modelfile.md#template
@@ -166,7 +167,9 @@ def ollama_pt(
                         if element["type"] == "text":
                             prompt += element["text"]
                         elif element["type"] == "image_url":
-                            base64_image = convert_to_ollama_image(element["image_url"]["url"])
+                            base64_image = convert_to_ollama_image(
+                                element["image_url"]["url"]
+                            )
                             images.append(base64_image)
         return {"prompt": prompt, "images": images}
     else:
@@ -1528,11 +1531,12 @@ def _gemini_vision_convert_messages(messages: list):
                     raise Exception(
                         "gemini image conversion failed please run `pip install Pillow`"
                     )
-                
+
                 if "base64" in img:
                     # Case 2: Base64 image data
                     import base64
                     import io
+
                     # Extract the base64 image data
                     base64_data = img.split("base64,")[1]
 

litellm/main.py

@@ -420,6 +420,8 @@ def mock_completion(
                 api_key="mock-key",
             )
         if isinstance(mock_response, Exception):
+            if isinstance(mock_response, openai.APIError):
+                raise mock_response
             raise litellm.APIError(
                 status_code=500,  # type: ignore
                 message=str(mock_response),
@@ -463,7 +465,9 @@ def mock_completion(
 
         return model_response
 
-    except:
+    except Exception as e:
+        if isinstance(e, openai.APIError):
+            raise e
         traceback.print_exc()
         raise Exception("Mock completion response failed")
 
@@ -864,6 +868,7 @@ def completion(
             user=user,
             optional_params=optional_params,
             litellm_params=litellm_params,
+            custom_llm_provider=custom_llm_provider,
         )
         if mock_response:
             return mock_completion(

litellm/proxy/_super_secret_config.yaml

@@ -24,7 +24,7 @@ litellm_settings:
 
 general_settings:
   alerting: ["slack"]
-  alerting_args: 
-    report_check_interval: 10
-  enable_jwt_auth: True
+  # alerting_args: 
+  #   report_check_interval: 10
+  # enable_jwt_auth: True
 

litellm/proxy/proxy_server.py

@@ -3026,7 +3026,7 @@ class ProxyConfig:
             general_settings["alert_types"] = _general_settings["alert_types"]
             proxy_logging_obj.alert_types = general_settings["alert_types"]
             proxy_logging_obj.slack_alerting_instance.update_values(
-                alert_types=general_settings["alert_types"]
+                alert_types=general_settings["alert_types"], llm_router=llm_router
             )
 
         if "alert_to_webhook_url" in _general_settings:
@@ -3034,7 +3034,8 @@ class ProxyConfig:
                 "alert_to_webhook_url"
             ]
             proxy_logging_obj.slack_alerting_instance.update_values(
-                alert_to_webhook_url=general_settings["alert_to_webhook_url"]
+                alert_to_webhook_url=general_settings["alert_to_webhook_url"],
+                llm_router=llm_router,
             )
 
     async def _update_general_settings(self, db_general_settings: Optional[Json]):
@@ -3602,6 +3603,9 @@ async def startup_event():
     ## Error Tracking ##
     error_tracking()
 
+    ## UPDATE SLACK ALERTING ##
+    proxy_logging_obj.slack_alerting_instance.update_values(llm_router=llm_router)
+
     db_writer_client = HTTPHandler()
 
     proxy_logging_obj._init_litellm_callbacks()  # INITIALIZE LITELLM CALLBACKS ON SERVER STARTUP <- do this to catch any logging errors on startup, not when calls are being made

litellm/proxy/utils.py

@@ -42,7 +42,7 @@ import smtplib, re
 from email.mime.text import MIMEText
 from email.mime.multipart import MIMEMultipart
 from datetime import datetime, timedelta
-from litellm.integrations.slack_alerting import SlackAlerting
+from litellm.integrations.slack_alerting import SlackAlerting, AlertType
 from typing_extensions import overload
 
 
@@ -78,19 +78,7 @@ class ProxyLogging:
         self.cache_control_check = _PROXY_CacheControlCheck()
         self.alerting: Optional[List] = None
         self.alerting_threshold: float = 300  # default to 5 min. threshold
-        self.alert_types: List[
-            Literal[
-                "llm_exceptions",
-                "llm_too_slow",
-                "llm_requests_hanging",
-                "budget_alerts",
-                "db_exceptions",
-                "daily_reports",
-                "spend_reports",
-                "cooldown_deployment",
-                "new_model_added",
-            ]
-        ] = [
+        self.alert_types: List[AlertType] = [
             "llm_exceptions",
             "llm_too_slow",
             "llm_requests_hanging",
@@ -100,6 +88,7 @@ class ProxyLogging:
             "spend_reports",
             "cooldown_deployment",
             "new_model_added",
+            "outage_alerts",
         ]
         self.slack_alerting_instance = SlackAlerting(
             alerting_threshold=self.alerting_threshold,
@@ -113,21 +102,7 @@ class ProxyLogging:
         alerting: Optional[List],
         alerting_threshold: Optional[float],
         redis_cache: Optional[RedisCache],
-        alert_types: Optional[
-            List[
-                Literal[
-                    "llm_exceptions",
-                    "llm_too_slow",
-                    "llm_requests_hanging",
-                    "budget_alerts",
-                    "db_exceptions",
-                    "daily_reports",
-                    "spend_reports",
-                    "cooldown_deployment",
-                    "new_model_added",
-                ]
-            ]
-        ] = None,
+        alert_types: Optional[List[AlertType]] = None,
         alerting_args: Optional[dict] = None,
     ):
         self.alerting = alerting

litellm/router.py

@@ -3876,13 +3876,13 @@ class Router:
                 _api_base = litellm.get_api_base(
                     model=_model_name, optional_params=temp_litellm_params
                 )
-                asyncio.create_task(
-                    proxy_logging_obj.slack_alerting_instance.send_alert(
-                        message=f"Router: Cooling down Deployment:\nModel Name: `{_model_name}`\nAPI Base: `{_api_base}`\nCooldown Time: `{cooldown_time} seconds`\nException Status Code: `{str(exception_status)}`\n\nChange 'cooldown_time' + 'allowed_fails' under 'Router Settings' on proxy UI, or via config - https://docs.litellm.ai/docs/proxy/reliability#fallbacks--retries--timeouts--cooldowns",
-                        alert_type="cooldown_deployment",
-                        level="Low",
-                    )
-                )
+                # asyncio.create_task(
+                #     proxy_logging_obj.slack_alerting_instance.send_alert(
+                #         message=f"Router: Cooling down Deployment:\nModel Name: `{_model_name}`\nAPI Base: `{_api_base}`\nCooldown Time: `{cooldown_time} seconds`\nException Status Code: `{str(exception_status)}`\n\nChange 'cooldown_time' + 'allowed_fails' under 'Router Settings' on proxy UI, or via config - https://docs.litellm.ai/docs/proxy/reliability#fallbacks--retries--timeouts--cooldowns",
+                #         alert_type="cooldown_deployment",
+                #         level="Low",
+                #     )
+                # )
         except Exception as e:
             pass
 

litellm/tests/test_alerting.py

@@ -1,10 +1,11 @@
 # What is this?
 ## Tests slack alerting on proxy logging object
 
-import sys, json, uuid, random
+import sys, json, uuid, random, httpx
 import os
 import io, asyncio
 from datetime import datetime, timedelta
+from typing import Optional
 
 # import logging
 # logging.basicConfig(level=logging.DEBUG)
@@ -23,6 +24,7 @@ from unittest.mock import AsyncMock
 import pytest
 from litellm.router import AlertingConfig, Router
 from litellm.proxy._types import CallInfo
+from openai import APIError
 
 
 @pytest.mark.parametrize(
@@ -495,3 +497,109 @@ async def test_webhook_alerting(alerting_type):
                 user_info=user_info,
             )
         mock_send_alert.assert_awaited_once()
+
+
+@pytest.mark.parametrize(
+    "model, api_base, llm_provider, vertex_project, vertex_location",
+    [
+        ("gpt-3.5-turbo", None, "openai", None, None),
+        (
+            "azure/gpt-3.5-turbo",
+            "https://openai-gpt-4-test-v-1.openai.azure.com",
+            "azure",
+            None,
+            None,
+        ),
+        ("gemini-pro", None, "vertex_ai", "hardy-device-38811", "us-central1"),
+    ],
+)
+@pytest.mark.parametrize("error_code", [500, 408, 400])
+@pytest.mark.asyncio
+async def test_outage_alerting_called(
+    model, api_base, llm_provider, vertex_project, vertex_location, error_code
+):
+    """
+    If call fails, outage alert is called
+
+    If multiple calls fail, outage alert is sent
+    """
+    slack_alerting = SlackAlerting(alerting=["webhook"])
+
+    litellm.callbacks = [slack_alerting]
+
+    error_to_raise: Optional[APIError] = None
+
+    if error_code == 400:
+        print("RAISING 400 ERROR CODE")
+        error_to_raise = litellm.BadRequestError(
+            message="this is a bad request",
+            model=model,
+            llm_provider=llm_provider,
+        )
+    elif error_code == 408:
+        print("RAISING 408 ERROR CODE")
+        error_to_raise = litellm.Timeout(
+            message="A timeout occurred", model=model, llm_provider=llm_provider
+        )
+    elif error_code == 500:
+        print("RAISING 500 ERROR CODE")
+        error_to_raise = litellm.ServiceUnavailableError(
+            message="API is unavailable",
+            model=model,
+            llm_provider=llm_provider,
+            response=httpx.Response(
+                status_code=503,
+                request=httpx.Request(
+                    method="completion",
+                    url="https://github.com/BerriAI/litellm",
+                ),
+            ),
+        )
+
+    router = Router(
+        model_list=[
+            {
+                "model_name": model,
+                "litellm_params": {
+                    "model": model,
+                    "api_key": os.getenv("AZURE_API_KEY"),
+                    "api_base": api_base,
+                    "vertex_location": vertex_location,
+                    "vertex_project": vertex_project,
+                },
+            }
+        ],
+        num_retries=0,
+        allowed_fails=100,
+    )
+
+    slack_alerting.update_values(llm_router=router)
+    with patch.object(
+        slack_alerting, "outage_alerts", new=AsyncMock()
+    ) as mock_send_alert:
+        try:
+            await router.acompletion(
+                model=model,
+                messages=[{"role": "user", "content": "Hey!"}],
+                mock_response=error_to_raise,
+            )
+        except Exception as e:
+            pass
+
+        mock_send_alert.assert_called_once()
+
+    with patch.object(slack_alerting, "send_alert", new=AsyncMock()) as mock_send_alert:
+        for _ in range(3):
+            try:
+                await router.acompletion(
+                    model=model,
+                    messages=[{"role": "user", "content": "Hey!"}],
+                    mock_response=error_to_raise,
+                )
+            except Exception as e:
+                pass
+        await asyncio.sleep(3)
+        if error_code == 500 or error_code == 408:
+            mock_send_alert.assert_called_once()
+        else:
+            mock_send_alert.assert_not_called()

litellm/utils.py

@@ -6298,7 +6298,9 @@ def get_model_region(
     return None
 
 
-def get_api_base(model: str, optional_params: dict) -> Optional[str]:
+def get_api_base(
+    model: str, optional_params: Union[dict, LiteLLM_Params]
+) -> Optional[str]:
     """
     Returns the api base used for calling the model.
 
@@ -6318,7 +6320,9 @@ def get_api_base(model: str, optional_params: dict) -> Optional[str]:
     """
 
     try:
-        if "model" in optional_params:
+        if isinstance(optional_params, LiteLLM_Params):
+            _optional_params = optional_params
+        elif "model" in optional_params:
             _optional_params = LiteLLM_Params(**optional_params)
         else:  # prevent needing to copy and pop the dict
             _optional_params = LiteLLM_Params(
@@ -6711,6 +6715,8 @@ def get_llm_provider(
     Returns the provider for a given model name - e.g. 'azure/chatgpt-v-2' -> 'azure'
 
     For router -> Can also give the whole litellm param dict -> this function will extract the relevant details
+
+    Raises Error - if unable to map model to a provider
     """
     try:
         ## IF LITELLM PARAMS GIVEN ##
@@ -8644,7 +8650,16 @@ def exception_type(
                     )
                 elif hasattr(original_exception, "status_code"):
                     exception_mapping_worked = True
-                    if original_exception.status_code == 401:
+                    if original_exception.status_code == 400:
+                        exception_mapping_worked = True
+                        raise BadRequestError(
+                            message=f"{exception_provider} - {message}",
+                            llm_provider=custom_llm_provider,
+                            model=model,
+                            response=original_exception.response,
+                            litellm_debug_info=extra_information,
+                        )
+                    elif original_exception.status_code == 401:
                         exception_mapping_worked = True
                         raise AuthenticationError(
                             message=f"{exception_provider} - {message}",
@@ -9157,6 +9172,7 @@ def exception_type(
                             ),
                         ),
                     )
+
                 if hasattr(original_exception, "status_code"):
                     if original_exception.status_code == 400:
                         exception_mapping_worked = True
@@ -9837,7 +9853,16 @@ def exception_type(
                     )
                 elif hasattr(original_exception, "status_code"):
                     exception_mapping_worked = True
-                    if original_exception.status_code == 401:
+                    if original_exception.status_code == 400:
+                        exception_mapping_worked = True
+                        raise BadRequestError(
+                            message=f"AzureException - {original_exception.message}",
+                            llm_provider="azure",
+                            model=model,
+                            litellm_debug_info=extra_information,
+                            response=original_exception.response,
+                        )
+                    elif original_exception.status_code == 401:
                         exception_mapping_worked = True
                         raise AuthenticationError(
                             message=f"AzureException - {original_exception.message}",
@@ -9854,7 +9879,7 @@ def exception_type(
                             litellm_debug_info=extra_information,
                             llm_provider="azure",
                         )
-                    if original_exception.status_code == 422:
+                    elif original_exception.status_code == 422:
                         exception_mapping_worked = True
                         raise BadRequestError(
                             message=f"AzureException - {original_exception.message}",