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122 lines
No EOL
3.6 KiB
Python
122 lines
No EOL
3.6 KiB
Python
import sys, os
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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 os, io
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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 pytest
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import litellm
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from litellm import embedding, completion, completion_cost, Timeout
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from litellm import RateLimitError
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# test /chat/completion request to the proxy
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from fastapi.testclient import TestClient
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from fastapi import FastAPI
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from litellm.proxy.proxy_server import router # Replace with the actual module where your FastAPI router is defined
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app = FastAPI()
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app.include_router(router) # Include your router in the test app
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client = TestClient(app)
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def test_chat_completion():
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try:
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# Your test data
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test_data = {
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"model": "gpt-3.5-turbo",
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"messages": [
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{
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"role": "user",
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"content": "hi"
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},
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],
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"max_tokens": 10,
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}
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print("testing proxy server")
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response = client.post("/v1/chat/completions", json=test_data)
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assert response.status_code == 200
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result = response.json()
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print(f"Received response: {result}")
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except Exception as e:
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pytest.fail("LiteLLM Proxy test failed. Exception", e)
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# Run the test
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test_chat_completion()
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def test_chat_completion_azure():
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try:
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# Your test data
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test_data = {
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"model": "azure/chatgpt-v-2",
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"messages": [
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{
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"role": "user",
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"content": "write 1 sentence poem"
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},
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],
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"max_tokens": 10,
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}
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print("testing proxy server with Azure Request")
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response = client.post("/v1/chat/completions", json=test_data)
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assert response.status_code == 200
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result = response.json()
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print(f"Received response: {result}")
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assert len(result["choices"][0]["message"]["content"]) > 0
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except Exception as e:
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pytest.fail("LiteLLM Proxy test failed. Exception", e)
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# Run the test
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# test_chat_completion_azure()
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def test_embedding():
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try:
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test_data = {
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"model": "azure/azure-embedding-model",
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"input": ["good morning from litellm"],
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}
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print("testing proxy server with OpenAI embedding")
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response = client.post("/v1/embeddings", json=test_data)
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assert response.status_code == 200
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result = response.json()
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print(len(result["data"][0]["embedding"]))
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assert len(result["data"][0]["embedding"]) > 10 # this usually has len==1536 so
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except Exception as e:
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pytest.fail("LiteLLM Proxy test failed. Exception", e)
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# Run the test
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# test_embedding()
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def test_add_new_model():
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try:
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test_data = {
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"model_name": "test_openai_models",
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"litellm_params": {
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"model": "gpt-3.5-turbo",
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},
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"model_info": {
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"description": "this is a test openai model"
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}
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}
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client.post("/model/new", json=test_data)
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response = client.get("/model/info")
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assert response.status_code == 200
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result = response.json()
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print(f"response: {result}")
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model_info = None
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for m in result["data"]:
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if m["id"]["model_name"] == "test_openai_models":
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model_info = m["id"]["model_info"]
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assert model_info["description"] == "this is a test openai model"
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except Exception as e:
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pytest.fail(f"LiteLLM Proxy test failed. Exception {str(e)}")
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test_add_new_model() |