moved tests
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@@ -1,107 +0,0 @@
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#!/usr/bin/env python3
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"""
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Minimal test for DashScope Application.call against server_dashscope.py
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Instructions:
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- Start the DashScope-compatible server first, e.g.:
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uvicorn fastapi_server.server_dashscope:app --host 0.0.0.0 --port 8588 --reload
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- Set BASE_URL below to the server base URL you started.
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- Optionally set environment variables ALI_API_KEY and ALI_APP_ID.
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"""
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import os
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import uuid
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from dotenv import load_dotenv
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from loguru import logger
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from http import HTTPStatus
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TAG = __name__
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load_dotenv()
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try:
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from dashscope import Application
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import dashscope
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except Exception as e:
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print("dashscope package not found. Please install it: pip install dashscope")
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raise
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# <<< Paste your running FastAPI base url here >>>
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BASE_URL = os.getenv("DS_BASE_URL", "http://127.0.0.1:8588/api/")
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# Params
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API_KEY = os.getenv("FAST_AUTH_KEYS", "test-key")
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APP_ID = os.getenv("ALI_APP_ID", "test-app")
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SESSION_ID = str(uuid.uuid4())
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dialogue = [
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{"role": "system", "content": "You are a helpful assistant."},
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{"role": "user", "content": "Say 'the world is awesome and beautiful'."},
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]
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call_params = {
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"api_key": API_KEY,
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"app_id": "test_app",
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"session_id": "123",
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"messages": dialogue,
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"stream": True,
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}
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def main():
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# Point the SDK to our FastAPI implementation
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if BASE_URL and ("/api/" in BASE_URL):
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dashscope.base_http_api_url = BASE_URL
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# dashscope.base_http_api_url = BASE_URL
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print(f"Using base_http_api_url = {dashscope.base_http_api_url}")
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print("\nCalling Application.call(stream=True)...\n")
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responses = Application.call(**call_params)
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try:
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last_text = ""
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u = ""
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for resp in responses:
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if resp.status_code != HTTPStatus.OK:
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logger.bind(tag=TAG).error(
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f"code={resp.status_code}, message={resp.message}, 请参考文档：https://help.aliyun.com/zh/model-studio/developer-reference/error-code"
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)
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continue
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current_text = getattr(getattr(resp, "output", None), "text", None)
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if current_text is None:
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continue
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# SDK流式为增量覆盖，计算差量输出
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if len(current_text) >= len(last_text):
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delta = current_text[len(last_text):]
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else:
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# 避免偶发回退
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delta = current_text
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if delta:
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u = delta
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last_text = current_text
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logger.info(f"from stream: {u}")
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except TypeError:
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# 非流式回落（一次性返回）
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if responses.status_code != HTTPStatus.OK:
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logger.bind(tag=TAG).error(
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f"code={responses.status_code}, message={responses.message}, 请参考文档：https://help.aliyun.com/zh/model-studio/developer-reference/error-code"
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)
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u = "【阿里百练API服务响应异常】"
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else:
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full_text = getattr(getattr(responses, "output", None), "text", "")
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logger.bind(tag=TAG).info(
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f"【阿里百练API服务】完整响应长度: {len(full_text)}"
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)
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u = full_text
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print("from non-stream: ", u)
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except Exception as e:
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logger.bind(tag=TAG).error(f"Error: {e}")
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u = "【阿里百练API服务响应异常】"
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if __name__ == "__main__":
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main()
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@@ -1,147 +0,0 @@
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#!/usr/bin/env python3
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"""
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Test for OpenAI-compatible API against server_openai.py
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Instructions:
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- Start the OpenAI-compatible server first, e.g.:
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python fastapi_server/server_openai.py --llm_name qwen-plus --llm_provider openai --base_url https://dashscope.aliyuncs.com/compatible-mode/v1
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- Or with uvicorn:
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uvicorn fastapi_server.server_openai:app --host 0.0.0.0 --port 8589 --reload
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- Set BASE_URL and API_KEY environment variables (or in .env file):
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OPENAI_BASE_URL=http://127.0.0.1:8589/v1
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API_KEY=sk-your-api-key-here
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- Make sure the API_KEY matches one of the keys in the server's API_KEYS environment variable
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"""
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import os
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from dotenv import load_dotenv
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from loguru import logger
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TAG = __name__
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load_dotenv()
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try:
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from openai import OpenAI
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except Exception as e:
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print("openai package not found. Please install it: pip install openai")
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raise
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# <<< Paste your running FastAPI base url here >>>
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BASE_URL = os.getenv("OPENAI_BASE_URL", "http://127.0.0.1:8589/v1")
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API_KEY = os.getenv("FAST_AUTH_KEYS", None)
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# Test configuration matching the server setup
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# llm_name: "qwen-plus"
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# llm_provider: "openai"
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# base_url: "https://dashscope.aliyuncs.com/compatible-mode/v1"
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# Test messages
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messages = [
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{"role": "system", "content": "You are a helpful assistant."},
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{"role": "user", "content": "use calculator to calculate 1234*5641"},
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]
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def test_streaming():
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"""Test streaming chat completion"""
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print("\n" + "="*60)
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print("Testing STREAMING chat completion...")
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print("="*60 + "\n")
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if not API_KEY:
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logger.warning("API_KEY not set. Set it in environment variable or .env file.")
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raise ValueError("API_KEY environment variable is required for authentication")
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client = OpenAI(
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base_url=BASE_URL,
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api_key=API_KEY
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)
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try:
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stream = client.chat.completions.create(
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model="qwen-plus", # Using qwen-plus as configured
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messages=messages,
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stream=True,
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extra_body={"thread_id":"2000"}
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)
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full_response = ""
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for chunk in stream:
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if chunk.choices[0].delta.content is not None:
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content = chunk.choices[0].delta.content
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full_response += content
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print(content, end="", flush=True)
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print("\n\n" + "-"*60)
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print(f"Full streaming response length: {len(full_response)}")
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print("-"*60)
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return full_response
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except Exception as e:
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logger.error(f"Streaming test error: {e}")
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raise
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def test_non_streaming():
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"""Test non-streaming chat completion"""
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print("\n" + "="*60)
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print("Testing NON-STREAMING chat completion...")
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print("="*60 + "\n")
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if not API_KEY:
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logger.warning("API_KEY not set. Set it in environment variable or .env file.")
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raise ValueError("API_KEY environment variable is required for authentication")
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client = OpenAI(
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base_url=BASE_URL,
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api_key=API_KEY
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)
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try:
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response = client.chat.completions.create(
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model="qwen-plus", # Using qwen-plus as configured
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messages=messages,
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stream=False,
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extra_body={"thread_id":"2000"}
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)
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content = response.choices[0].message.content
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print(f"Response: {content}")
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print("\n" + "-"*60)
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print(f"Full non-streaming response length: {len(content)}")
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print(f"Finish reason: {response.choices[0].finish_reason}")
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print("-"*60)
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return content
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except Exception as e:
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logger.error(f"Non-streaming test error: {e}")
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raise
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def main():
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print(f"\nUsing base_url = {BASE_URL}")
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if API_KEY:
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# Show only first 8 chars for security
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masked_key = API_KEY[:8] + "..." if len(API_KEY) > 8 else API_KEY
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print(f"Using API_KEY = {masked_key}")
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else:
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print("WARNING: API_KEY not set!")
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print()
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# Test both streaming and non-streaming
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streaming_result = test_streaming()
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non_streaming_result = test_non_streaming()
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print("\n" + "="*60)
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print("SUMMARY")
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print("="*60)
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print(f"Streaming response length: {len(streaming_result)}")
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print(f"Non-streaming response length: {len(non_streaming_result)}")
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print("\nBoth tests completed successfully!")
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if __name__ == "__main__":
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main()
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