diff --git a/litellm/proxy/_types.py b/litellm/proxy/_types.py
index 270dab7f21..5a456aec97 100644
--- a/litellm/proxy/_types.py
+++ b/litellm/proxy/_types.py
@@ -1992,6 +1992,8 @@ class SpendCalculateRequest(LiteLLMPydanticObjectBase):
 
 class ProxyErrorTypes(str, enum.Enum):
     budget_exceeded = "budget_exceeded"
+    key_model_access_denied = "key_model_access_denied"
+    team_model_access_denied = "team_model_access_denied"
     expired_key = "expired_key"
     auth_error = "auth_error"
     internal_server_error = "internal_server_error"
diff --git a/litellm/proxy/auth/auth_checks.py b/litellm/proxy/auth/auth_checks.py
index c150534110..d6bbf760bd 100644
--- a/litellm/proxy/auth/auth_checks.py
+++ b/litellm/proxy/auth/auth_checks.py
@@ -14,12 +14,14 @@ import time
 import traceback
 from typing import TYPE_CHECKING, Any, Dict, List, Literal, Optional
 
+from fastapi import status
 from pydantic import BaseModel
 
 import litellm
 from litellm._logging import verbose_proxy_logger
 from litellm.caching.caching import DualCache
 from litellm.caching.dual_cache import LimitedSizeOrderedDict
+from litellm.litellm_core_utils.get_llm_provider_logic import get_llm_provider
 from litellm.proxy._types import (
     DB_CONNECTION_ERROR_TYPES,
     CallInfo,
@@ -31,6 +33,8 @@ from litellm.proxy._types import (
     LiteLLM_UserTable,
     LiteLLMRoutes,
     LitellmUserRoles,
+    ProxyErrorTypes,
+    ProxyException,
     UserAPIKeyAuth,
 )
 from litellm.proxy.auth.route_checks import RouteChecks
@@ -887,8 +891,11 @@ async def can_key_call_model(
         all_model_access = True
 
     if model is not None and model not in filtered_models and all_model_access is False:
-        raise ValueError(
-            f"API Key not allowed to access model. This token can only access models={valid_token.models}. Tried to access {model}"
+        raise ProxyException(
+            message=f"API Key not allowed to access model. This token can only access models={valid_token.models}. Tried to access {model}",
+            type=ProxyErrorTypes.key_model_access_denied,
+            param="model",
+            code=status.HTTP_401_UNAUTHORIZED,
         )
     valid_token.models = filtered_models
     verbose_proxy_logger.debug(
@@ -1064,11 +1071,7 @@ def _team_model_access_check(
         and model not in team_object.models
     ):
         # this means the team has access to all models on the proxy
-        if (
-            "all-proxy-models" in team_object.models
-            or "*" in team_object.models
-            or "openai/*" in team_object.models
-        ):
+        if "all-proxy-models" in team_object.models or "*" in team_object.models:
             # this means the team has access to all models on the proxy
             pass
         # check if the team model is an access_group
@@ -1086,8 +1089,11 @@ def _team_model_access_check(
         ):
             pass
         else:
-            raise Exception(
-                f"Team={team_object.team_id} not allowed to call model={model}. Allowed team models = {team_object.models}"
+            raise ProxyException(
+                message=f"Team not allowed to access model. Team={team_object.team_id}, Model={model}. Allowed team models = {team_object.models}",
+                type=ProxyErrorTypes.team_model_access_denied,
+                param="model",
+                code=status.HTTP_401_UNAUTHORIZED,
             )
 
 
@@ -1121,10 +1127,51 @@ def _model_matches_any_wildcard_pattern_in_list(
     - model=`bedrock/us.amazon.nova-micro-v1:0`, allowed_models=`bedrock/us.*` returns True
     - model=`bedrockzzzz/us.amazon.nova-micro-v1:0`, allowed_models=`bedrock/*` returns False
     """
-    return any(
-        "*" in allowed_model_pattern
+
+    if any(
+        _is_wildcard_pattern(allowed_model_pattern)
         and is_model_allowed_by_pattern(
             model=model, allowed_model_pattern=allowed_model_pattern
         )
         for allowed_model_pattern in allowed_model_list
+    ):
+        return True
+
+    if any(
+        _is_wildcard_pattern(allowed_model_pattern)
+        and _model_custom_llm_provider_matches_wildcard_pattern(
+            model=model, allowed_model_pattern=allowed_model_pattern
+        )
+        for allowed_model_pattern in allowed_model_list
+    ):
+        return True
+
+    return False
+
+
+def _model_custom_llm_provider_matches_wildcard_pattern(
+    model: str, allowed_model_pattern: str
+) -> bool:
+    """
+    Returns True for this scenario:
+    - `model=gpt-4o`
+    - `allowed_model_pattern=openai/*`
+
+    or
+    - `model=claude-3-5-sonnet-20240620`
+    - `allowed_model_pattern=anthropic/*`
+    """
+    model, custom_llm_provider, _, _ = get_llm_provider(model=model)
+    return is_model_allowed_by_pattern(
+        model=f"{custom_llm_provider}/{model}",
+        allowed_model_pattern=allowed_model_pattern,
     )
+
+
+def _is_wildcard_pattern(allowed_model_pattern: str) -> bool:
+    """
+    Returns True if the pattern is a wildcard pattern.
+
+    Checks if `*` is in the pattern.
+    """
+    return "*" in allowed_model_pattern
diff --git a/litellm/proxy/example_config_yaml/otel_test_config.yaml b/litellm/proxy/example_config_yaml/otel_test_config.yaml
index d3f1236159..3247516296 100644
--- a/litellm/proxy/example_config_yaml/otel_test_config.yaml
+++ b/litellm/proxy/example_config_yaml/otel_test_config.yaml
@@ -31,7 +31,15 @@ model_list:
      api_key: fake-key
    model_info:
      supports_vision: True
-
+ - model_name: bedrock/*
+   litellm_params:
+     model:  bedrock/*
+     api_base: https://exampleopenaiendpoint-production.up.railway.app/
+ - model_name: openai/*
+   litellm_params:
+     model: openai/*
+     api_key: os.environ/OPENAI_API_KEY
+     api_base: https://exampleopenaiendpoint-production.up.railway.app/
 
 
 litellm_settings:
diff --git a/litellm/proxy/proxy_config.yaml b/litellm/proxy/proxy_config.yaml
index 791dac4e8c..f1d27c35da 100644
--- a/litellm/proxy/proxy_config.yaml
+++ b/litellm/proxy/proxy_config.yaml
@@ -3,6 +3,10 @@ model_list:
     litellm_params:
       model:  openai/*
       api_key: os.environ/OPENAI_API_KEY
+  - model_name: bedrock/*
+    litellm_params:
+      model:  bedrock/*
+      api_base: https://exampleopenaiendpoint-production.up.railway.app/
   - model_name: text-embedding-ada-002
     litellm_params:
       model: openai/text-embedding-ada-002
@@ -14,6 +18,12 @@ model_list:
       api_base: https://exampleopenaiendpoint-production.up.railway.app/
 
 
+
+
+litellm_settings:
+  callbacks: ["langfuse"]
+
+
 litellm_settings:
   callbacks: ["prometheus"]
   prometheus_initialize_budget_metrics: true
diff --git a/tests/otel_tests/test_e2e_model_access.py b/tests/otel_tests/test_e2e_model_access.py
new file mode 100644
index 0000000000..73c93212bf
--- /dev/null
+++ b/tests/otel_tests/test_e2e_model_access.py
@@ -0,0 +1,290 @@
+import pytest
+import asyncio
+import aiohttp
+import json
+from httpx import AsyncClient
+from typing import Any, Optional, List, Literal
+
+
+async def generate_key(
+    session, models: Optional[List[str]] = None, team_id: Optional[str] = None
+):
+    """Helper function to generate a key with specific model access"""
+    url = "http://0.0.0.0:4000/key/generate"
+    headers = {"Authorization": "Bearer sk-1234", "Content-Type": "application/json"}
+    data = {}
+    if models is not None:
+        data["models"] = models
+    if team_id is not None:
+        data["team_id"] = team_id
+    async with session.post(url, headers=headers, json=data) as response:
+        return await response.json()
+
+
+async def generate_team(session, models: Optional[List[str]] = None):
+    """Helper function to generate a team with specific model access"""
+    url = "http://0.0.0.0:4000/team/new"
+    headers = {"Authorization": "Bearer sk-1234", "Content-Type": "application/json"}
+    data = {}
+    if models is not None:
+        data["models"] = models
+    async with session.post(url, headers=headers, json=data) as response:
+        return await response.json()
+
+
+async def mock_chat_completion(session, key: str, model: str):
+    """Make a chat completion request using OpenAI SDK"""
+    from openai import AsyncOpenAI
+    import uuid
+
+    client = AsyncOpenAI(api_key=key, base_url="http://0.0.0.0:4000/v1")
+
+    response = await client.chat.completions.create(
+        model=model,
+        messages=[{"role": "user", "content": f"Say hello! {uuid.uuid4()}"}],
+        extra_body={
+            "mock_response": "mock_response",
+        },
+    )
+    return response
+
+
+@pytest.mark.parametrize(
+    "key_models, test_model, expect_success",
+    [
+        (["openai/*"], "anthropic/claude-2", False),  # Non-matching model
+        (["gpt-4"], "gpt-4", True),  # Exact model match
+        (["bedrock/*"], "bedrock/anthropic.claude-3", True),  # Bedrock wildcard
+        (["bedrock/anthropic.*"], "bedrock/anthropic.claude-3", True),  # Pattern match
+        (["bedrock/anthropic.*"], "bedrock/amazon.titan", False),  # Pattern non-match
+        (None, "gpt-4", True),  # No model restrictions
+        ([], "gpt-4", True),  # Empty model list
+    ],
+)
+@pytest.mark.asyncio
+async def test_model_access_patterns(key_models, test_model, expect_success):
+    """
+    Test model access patterns for API keys:
+    1. Create key with specific model access pattern
+    2. Attempt to make completion with test model
+    3. Verify access is granted/denied as expected
+    """
+    async with aiohttp.ClientSession() as session:
+        # Generate key with specified model access
+        key_gen = await generate_key(session=session, models=key_models)
+        key = key_gen["key"]
+
+        try:
+            response = await mock_chat_completion(
+                session=session,
+                key=key,
+                model=test_model,
+            )
+            if not expect_success:
+                pytest.fail(f"Expected request to fail for model {test_model}")
+            assert (
+                response is not None
+            ), "Should get valid response when access is allowed"
+        except Exception as e:
+            if expect_success:
+                pytest.fail(f"Expected request to succeed but got error: {e}")
+            _error_body = e.body
+
+            # Assert error structure and values
+            assert _error_body["type"] == "key_model_access_denied"
+            assert _error_body["param"] == "model"
+            assert _error_body["code"] == "401"
+            assert "API Key not allowed to access model" in _error_body["message"]
+
+
+@pytest.mark.asyncio
+async def test_model_access_update():
+    """
+    Test updating model access for an existing key:
+    1. Create key with restricted model access
+    2. Verify access patterns
+    3. Update key with new model access
+    4. Verify new access patterns
+    """
+    client = AsyncClient(base_url="http://0.0.0.0:4000")
+    headers = {"Authorization": "Bearer sk-1234"}
+
+    # Create initial key with restricted access
+    response = await client.post(
+        "/key/generate", json={"models": ["openai/gpt-4"]}, headers=headers
+    )
+    assert response.status_code == 200
+    key_data = response.json()
+    key = key_data["key"]
+
+    # Test initial access
+    async with aiohttp.ClientSession() as session:
+        # Should work with gpt-4
+        await mock_chat_completion(session=session, key=key, model="openai/gpt-4")
+
+        # Should fail with gpt-3.5-turbo
+        with pytest.raises(Exception) as exc_info:
+            await mock_chat_completion(
+                session=session, key=key, model="openai/gpt-3.5-turbo"
+            )
+        _validate_model_access_exception(
+            exc_info.value, expected_type="key_model_access_denied"
+        )
+
+    # Update key with new model access
+    response = await client.post(
+        "/key/update", json={"key": key, "models": ["openai/*"]}, headers=headers
+    )
+    assert response.status_code == 200
+
+    # Test updated access
+    async with aiohttp.ClientSession() as session:
+        # Both models should now work
+        await mock_chat_completion(session=session, key=key, model="openai/gpt-4")
+        await mock_chat_completion(
+            session=session, key=key, model="openai/gpt-3.5-turbo"
+        )
+
+        # Non-OpenAI model should still fail
+        with pytest.raises(Exception) as exc_info:
+            await mock_chat_completion(
+                session=session, key=key, model="anthropic/claude-2"
+            )
+        _validate_model_access_exception(
+            exc_info.value, expected_type="key_model_access_denied"
+        )
+
+
+@pytest.mark.parametrize(
+    "team_models, test_model, expect_success",
+    [
+        (["openai/*"], "anthropic/claude-2", False),  # Non-matching model
+        (["gpt-4"], "gpt-4", True),  # Exact model match
+        (["bedrock/*"], "bedrock/anthropic.claude-3", True),  # Bedrock wildcard
+        (["bedrock/anthropic.*"], "bedrock/anthropic.claude-3", True),  # Pattern match
+        (["bedrock/anthropic.*"], "bedrock/amazon.titan", False),  # Pattern non-match
+        (None, "gpt-4", True),  # No model restrictions
+        ([], "gpt-4", True),  # Empty model list
+    ],
+)
+@pytest.mark.asyncio
+async def test_team_model_access_patterns(team_models, test_model, expect_success):
+    """
+    Test model access patterns for team-based API keys:
+    1. Create team with specific model access pattern
+    2. Generate key for that team
+    3. Attempt to make completion with test model
+    4. Verify access is granted/denied as expected
+    """
+    client = AsyncClient(base_url="http://0.0.0.0:4000")
+    headers = {"Authorization": "Bearer sk-1234"}
+
+    async with aiohttp.ClientSession() as session:
+        try:
+            team_gen = await generate_team(session=session, models=team_models)
+            print("created team", team_gen)
+            team_id = team_gen["team_id"]
+            key_gen = await generate_key(session=session, team_id=team_id)
+            print("created key", key_gen)
+            key = key_gen["key"]
+            response = await mock_chat_completion(
+                session=session,
+                key=key,
+                model=test_model,
+            )
+            if not expect_success:
+                pytest.fail(f"Expected request to fail for model {test_model}")
+            assert (
+                response is not None
+            ), "Should get valid response when access is allowed"
+        except Exception as e:
+            if expect_success:
+                pytest.fail(f"Expected request to succeed but got error: {e}")
+            _validate_model_access_exception(
+                e, expected_type="team_model_access_denied"
+            )
+
+
+@pytest.mark.asyncio
+async def test_team_model_access_update():
+    """
+    Test updating model access for a team:
+    1. Create team with restricted model access
+    2. Verify access patterns
+    3. Update team with new model access
+    4. Verify new access patterns
+    """
+    client = AsyncClient(base_url="http://0.0.0.0:4000")
+    headers = {"Authorization": "Bearer sk-1234"}
+
+    # Create initial team with restricted access
+    response = await client.post(
+        "/team/new",
+        json={"models": ["openai/gpt-4"], "name": "test-team"},
+        headers=headers,
+    )
+    assert response.status_code == 200
+    team_data = response.json()
+    team_id = team_data["team_id"]
+
+    # Generate a key for this team
+    response = await client.post(
+        "/key/generate", json={"team_id": team_id}, headers=headers
+    )
+    assert response.status_code == 200
+    key = response.json()["key"]
+
+    # Test initial access
+    async with aiohttp.ClientSession() as session:
+        # Should work with gpt-4
+        await mock_chat_completion(session=session, key=key, model="openai/gpt-4")
+
+        # Should fail with gpt-3.5-turbo
+        with pytest.raises(Exception) as exc_info:
+            await mock_chat_completion(
+                session=session, key=key, model="openai/gpt-3.5-turbo"
+            )
+        _validate_model_access_exception(
+            exc_info.value, expected_type="team_model_access_denied"
+        )
+
+    # Update team with new model access
+    response = await client.post(
+        "/team/update",
+        json={"team_id": team_id, "models": ["openai/*"]},
+        headers=headers,
+    )
+    assert response.status_code == 200
+
+    # Test updated access
+    async with aiohttp.ClientSession() as session:
+        # Both models should now work
+        await mock_chat_completion(session=session, key=key, model="openai/gpt-4")
+        await mock_chat_completion(
+            session=session, key=key, model="openai/gpt-3.5-turbo"
+        )
+
+        # Non-OpenAI model should still fail
+        with pytest.raises(Exception) as exc_info:
+            await mock_chat_completion(
+                session=session, key=key, model="anthropic/claude-2"
+            )
+        _validate_model_access_exception(
+            exc_info.value, expected_type="team_model_access_denied"
+        )
+
+
+def _validate_model_access_exception(
+    e: Exception,
+    expected_type: Literal["key_model_access_denied", "team_model_access_denied"],
+):
+    _error_body = e.body
+
+    # Assert error structure and values
+    assert _error_body["type"] == expected_type
+    assert _error_body["param"] == "model"
+    assert _error_body["code"] == "401"
+    if expected_type == "key_model_access_denied":
+        assert "API Key not allowed to access model" in _error_body["message"]
+    elif expected_type == "team_model_access_denied":
+        assert "Team not allowed to access model" in _error_body["message"]
diff --git a/tests/proxy_unit_tests/test_key_generate_prisma.py b/tests/proxy_unit_tests/test_key_generate_prisma.py
index 7dbb9363d5..9afadafd89 100644
--- a/tests/proxy_unit_tests/test_key_generate_prisma.py
+++ b/tests/proxy_unit_tests/test_key_generate_prisma.py
@@ -361,11 +361,9 @@ def test_call_with_invalid_model(prisma_client):
 
         asyncio.run(test())
     except Exception as e:
-        assert (
-            e.message
-            == "Authentication Error, API Key not allowed to access model. This token can only access models=['mistral']. Tried to access gemini-pro-vision"
-        )
-        pass
+        assert isinstance(e, ProxyException)
+        assert e.type == ProxyErrorTypes.key_model_access_denied
+        assert e.param == "model"
 
 
 def test_call_with_valid_model(prisma_client):
@@ -3200,10 +3198,9 @@ async def test_team_access_groups(prisma_client):
             pytest.fail(f"This should have failed!. IT's an invalid model")
         except Exception as e:
             print("got exception", e)
-            assert (
-                "not allowed to call model" in e.message
-                and "Allowed team models" in e.message
-            )
+            assert isinstance(e, ProxyException)
+            assert e.type == ProxyErrorTypes.team_model_access_denied
+            assert e.param == "model"
 
 
 @pytest.mark.asyncio()