MCPcopy
hub / github.com/QwenLM/Qwen3 / get_content

Function get_content

eval/generate_api_answers/utils_vllm.py:20–89  ·  view source on GitHub ↗
(
    query, base_url, model_name, temperature, top_p, max_tokens, top_k, presence_penalty
)

Source from the content-addressed store, hash-verified

18
19
20def get_content(
21 query, base_url, model_name, temperature, top_p, max_tokens, top_k, presence_penalty
22):
23 API_KEY = os.environ.get("OPENAI_API_KEY", "EMPTY")
24 API_REQUEST_TIMEOUT = int(os.getenv("OPENAI_API_REQUEST_TIMEOUT", "99999"))
25 if IS_OPENAI_V1:
26 import httpx
27
28 client = openai.OpenAI(
29 api_key=API_KEY,
30 base_url=base_url,
31 timeout=httpx.Timeout(API_REQUEST_TIMEOUT),
32 )
33 else:
34 client = None
35 messages = [{"role": "user", "content": query}]
36 call_args = dict(
37 model=model_name,
38 messages=messages,
39 temperature=temperature,
40 top_p=top_p,
41 max_tokens=max_tokens,
42 presence_penalty=presence_penalty,
43 )
44 if IS_OPENAI_V1:
45 call_args["extra_body"] = {}
46 extra_args_dict = call_args["extra_body"]
47 else:
48 extra_args_dict = call_args
49 extra_args_dict.update(
50 {
51 "top_k": top_k,
52 }
53 )
54
55 if IS_OPENAI_V1:
56 call_func = client.chat.completions.create
57 call_args["timeout"] = API_REQUEST_TIMEOUT
58 else:
59 call_func = openai.ChatCompletion.create
60 call_args["api_key"] = API_KEY
61 call_args["api_base"] = base_url
62 call_args["request_timeout"] = API_REQUEST_TIMEOUT
63
64 result = ""
65 try:
66 completion = call_func(
67 **call_args,
68 )
69 result = completion.choices[0].message.content
70 except AttributeError as e:
71 err_msg = getattr(completion, "message", "")
72 if err_msg:
73 time.sleep(random.randint(25, 35))
74 raise ClientError(err_msg) from e
75 raise ClientError(err_msg) from e
76 except (APIConnectionError, RateLimitError) as e:
77 err_msg = e.message if IS_OPENAI_V1 else e.user_message

Callers 2

process_itemFunction · 0.90
utils_vllm.pyFile · 0.85

Calls 1

ClientErrorClass · 0.85

Tested by

no test coverage detected