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feat(examples): add dynamic proxy forwarding example #2567
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Original file line number | Diff line number | Diff line change |
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""" | ||
Example: forwarding OpenAI requests through an intermediary proxy. | ||
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Machine A sends requests to Machine B, and Machine B forwards to the OpenAI service while preserving streaming responses. | ||
""" | ||
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import os | ||
import httpx | ||
from openai import OpenAI, AsyncOpenAI | ||
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# Base URL for your proxy server (Machine B) | ||
proxy_base_url = os.getenv("PROXY_BASE_URL", "http://my.proxy.host:8080/v1") | ||
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def run_sync_example() -> None: | ||
"""Synchronously send a chat completion request via the proxy and stream the response.""" | ||
client = OpenAI( | ||
base_url=proxy_base_url, | ||
http_client=httpx.Client(proxies=proxy_base_url), | ||
) | ||
with client.chat.completions.stream( | ||
model="gpt-4o", | ||
messages=[{"role": "user", "content": "Hello!"}], | ||
) as stream: | ||
for event in stream: | ||
print(event.content or "", end="", flush=True) | ||
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async def run_async_example() -> None: | ||
"""Asynchronously send a chat completion request via the proxy and stream the response.""" | ||
async_client = AsyncOpenAI( | ||
base_url=proxy_base_url, | ||
http_client=httpx.AsyncClient(proxies=proxy_base_url), | ||
) | ||
async with async_client.chat.completions.stream( | ||
model="gpt-4o", | ||
messages=[{"role": "user", "content": "Hi!"}], | ||
) as stream: | ||
async for event in stream: | ||
print(event.content or "", end="", flush=True) | ||
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if __name__ == "__main__": | ||
# For demonstration purposes, run the synchronous example when executed directly. | ||
run_sync_example() | ||
# To run the asynchronous example, use: asyncio.run(run_async_example()) |
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