33 lines
1.1 KiB
Python
33 lines
1.1 KiB
Python
import requests
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from llm_server import opts
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def get_running_model():
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# TODO: cache the results for 1 min so we don't have to keep calling the backend
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# TODO: only use one try/catch
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if opts.mode == 'oobabooga':
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try:
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backend_response = requests.get(f'{opts.backend_url}/api/v1/model', timeout=3, verify=opts.verify_ssl)
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r_json = backend_response.json()
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return r_json['result'], None
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except Exception as e:
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return False, e
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elif opts.mode == 'hf-textgen':
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try:
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backend_response = requests.get(f'{opts.backend_url}/info', verify=opts.verify_ssl)
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r_json = backend_response.json()
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return r_json['model_id'].replace('/', '_'), None
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except Exception as e:
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return False, e
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elif opts.mode == 'vllm':
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try:
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backend_response = requests.get(f'{opts.backend_url}/model', timeout=3, verify=opts.verify_ssl)
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r_json = backend_response.json()
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return r_json['model'], None
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except Exception as e:
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return False, e
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else:
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raise Exception
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