litellm/tests/otel_tests/test_e2e_model_access.py

import pytest
import asyncio
import aiohttp
import json
from httpx import AsyncClient
from typing import Any, Optional, List, Literal


# The proxy strips client-supplied `mock_response` unless the calling key or
# team has this admin-metadata flag set. See `_UNTRUSTED_ROOT_CONTROL_FIELDS`
# in litellm/proxy/litellm_pre_call_utils.py.
_ALLOW_CLIENT_MOCK_METADATA = {"allow_client_mock_response": True}


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 controls"""
    url = "http://0.0.0.0:4000/key/generate"
    headers = {"Authorization": "Bearer sk-1234", "Content-Type": "application/json"}
    data: dict = {"metadata": dict(_ALLOW_CLIENT_MOCK_METADATA)}
    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: dict = {"metadata": dict(_ALLOW_CLIENT_MOCK_METADATA)}
    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
    from litellm._uuid 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-5.5"], "gpt-5.5", 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-5.5", True),  # No model restrictions
        ([], "gpt-5.5", 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"] == "403"
            assert "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-5.5"],
            "metadata": dict(_ALLOW_CLIENT_MOCK_METADATA),
        },
        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-5.5
        await mock_chat_completion(session=session, key=key, model="openai/gpt-5.5")

        # Should fail with gpt-5-mini
        with pytest.raises(Exception) as exc_info:
            await mock_chat_completion(
                session=session, key=key, model="openai/gpt-5-mini"
            )
        _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-5.5")
        await mock_chat_completion(
            session=session, key=key, model="openai/gpt-5-mini"
        )

        # 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
    ],
)
@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-5.5"],
            "name": "test-team",
            "metadata": dict(_ALLOW_CLIENT_MOCK_METADATA),
        },
        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,
            "metadata": dict(_ALLOW_CLIENT_MOCK_METADATA),
        },
        headers=headers,
    )
    assert response.status_code == 200
    key = response.json()["key"]

    # Test initial access
    async with aiohttp.ClientSession() as session:
        # Should work with gpt-5.5
        await mock_chat_completion(session=session, key=key, model="openai/gpt-5.5")

        # Should fail with gpt-5-mini
        with pytest.raises(Exception) as exc_info:
            await mock_chat_completion(
                session=session, key=key, model="openai/gpt-5-mini"
            )
        _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-5.5")
        await mock_chat_completion(
            session=session, key=key, model="openai/gpt-5-mini"
        )

        # 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"] == "403"
    if expected_type == "key_model_access_denied":
        assert "key not allowed to access model" in _error_body["message"]
    elif expected_type == "team_model_access_denied":
        assert "eam not allowed to access model" in _error_body["message"]