47 lines
1.4 KiB
Plaintext
47 lines
1.4 KiB
Plaintext
async def gen():
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env = request._run_ns.copy()
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f = partial(inference_generator, request, params_kw=params_kw)
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if params_kw.stream:
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async for l in f():
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yield f'data: {l}\n'
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yield 'data: [DONE]\n\n'
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else:
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async for l in f():
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yield l
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debug_params('params_kw', params_kw)
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catelogid = params_kw.catelogid or 't2t'
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if params_kw.off_peak:
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off_peak = params_kw.off_peak
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if off_peak in [True, "Y" "y", 1, "1"]:
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off_peak = True
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else:
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off_peak = False
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params_kw.off_peak = off_peak
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userid = await get_user()
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userorgid = await get_userorgid()
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if userid is None:
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debug(f'need login')
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return openai_403()
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if not params_kw.prompt and not params_kw.messages:
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debug(f'missing prompt and messages, model={params_kw.model}')
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d = return_error('Missing need data(prompt or messages)')
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return json_response(d, status=400)
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env = request._run_ns
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llmid = await env.get_llmid_cached(env, params_kw.model or 'qwen3-max', catelogid)
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if not llmid:
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debug(f'{params_kw.model=} not found for catelogid={catelogid}')
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return openai_400()
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params_kw.llmid = llmid
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params_kw.llmcatelogid = catelogid
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debug(f'{params_kw.llmid=}')
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f = await checkCustomerBalance(params_kw.llmid, userid, userorgid)
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if not f:
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debug(f'{userid=} balance not enough')
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return openai_429()
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# debug(f'{tools=}, {request._run_ns.tools=}')
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return await env.stream_response(request, gen, content_type='application/json')
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