forked from phoenix/litellm-mirror
27e18358ab
* fix(pattern_match_deployments.py): default to user input if unable to map based on wildcards * test: fix test * test: reset test name * test: update conftest to reload proxy server module between tests * ci(config.yml): move langfuse out of local_testing reduce ci/cd time * ci(config.yml): cleanup langfuse ci/cd tests * fix: update test to not use global proxy_server app module * ci: move caching to a separate test pipeline speed up ci pipeline * test: update conftest to check if proxy_server attr exists before reloading * build(conftest.py): don't block on inability to reload proxy_server * ci(config.yml): update caching unit test filter to work on 'cache' keyword as well * fix(encrypt_decrypt_utils.py): use function to get salt key * test: mark flaky test * test: handle anthropic overloaded errors * refactor: create separate ci/cd pipeline for proxy unit tests make ci/cd faster * ci(config.yml): add litellm_proxy_unit_testing to build_and_test jobs * ci(config.yml): generate prisma binaries for proxy unit tests * test: readd vertex_key.json * ci(config.yml): remove `-s` from proxy_unit_test cmd speed up test * ci: remove any 'debug' logging flag speed up ci pipeline * test: fix test * test(test_braintrust.py): rerun * test: add delay for braintrust test
99 lines
3 KiB
Python
99 lines
3 KiB
Python
import os
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import sys
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import traceback
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from dotenv import load_dotenv
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load_dotenv()
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import io
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import os
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# this file is to test litellm/proxy
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sys.path.insert(
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0, os.path.abspath("../..")
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) # Adds the parent directory to the system path
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import asyncio
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import pytest
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from fastapi import FastAPI
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# test /chat/completion request to the proxy
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from fastapi.testclient import TestClient
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import litellm
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from litellm import RateLimitError, Timeout, completion, completion_cost, embedding
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from litellm.proxy.proxy_server import ( # Replace with the actual module where your FastAPI router is defined
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ProxyConfig,
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initialize,
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router,
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save_worker_config,
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)
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# Here you create a fixture that will be used by your tests
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# Make sure the fixture returns TestClient(app)
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@pytest.fixture(scope="function")
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def client():
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from litellm.proxy.proxy_server import cleanup_router_config_variables
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cleanup_router_config_variables()
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filepath = os.path.dirname(os.path.abspath(__file__))
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config_fp = f"{filepath}/test_configs/test_config_custom_auth.yaml"
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# initialize can get run in parallel, it sets specific variables for the fast api app, sinc eit gets run in parallel different tests use the wrong variables
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app = FastAPI()
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asyncio.run(initialize(config=config_fp))
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app.include_router(router) # Include your router in the test app
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return TestClient(app)
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def test_custom_auth(client):
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try:
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# Your test data
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test_data = {
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"model": "openai-model",
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"messages": [
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{"role": "user", "content": "hi"},
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],
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"max_tokens": 10,
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}
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# Your bearer token
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token = os.getenv("PROXY_MASTER_KEY")
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print(f"token: {token}")
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headers = {"Authorization": f"Bearer {token}"}
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response = client.post("/chat/completions", json=test_data, headers=headers)
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pytest.fail("LiteLLM Proxy test failed. This request should have been rejected")
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except Exception as e:
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print(vars(e))
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print("got an exception")
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assert e.code == "401"
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assert e.message == "Authentication Error, Failed custom auth"
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pass
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def test_custom_auth_bearer(client):
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try:
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# Your test data
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test_data = {
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"model": "openai-model",
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"messages": [
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{"role": "user", "content": "hi"},
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],
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"max_tokens": 10,
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}
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# Your bearer token
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token = os.getenv("PROXY_MASTER_KEY")
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headers = {"Authorization": f"WITHOUT BEAR Er {token}"}
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response = client.post("/chat/completions", json=test_data, headers=headers)
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pytest.fail("LiteLLM Proxy test failed. This request should have been rejected")
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except Exception as e:
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print(vars(e))
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print("got an exception")
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assert e.code == "401"
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assert (
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e.message
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== "Authentication Error, CustomAuth - Malformed API Key passed in. Ensure Key has `Bearer` prefix"
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)
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pass
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