chaos
5d215e1649
- tools/scripts/llm-key-hunter: GitHub leak hunting pipeline (hunt_*, pivot miner, two-layer verify/content caches, per-provider verification) - usable_keys: verified key vault across 12 providers (deepseek, minimax, volcanoark, longcat, codingplan, zhipu free-tier, mimo, siliconflow, etc.) - .grok/skills/llm-key-hunter: operator skill for the hunt/verify/vault flow - NewAPI channel import scripts and CDP capture helpers - Result verdict buckets (excluding multi-GB blob caches and dedup dumps)
32 lines
1.0 KiB
Plaintext
32 lines
1.0 KiB
Plaintext
import requests
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import json
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API_KEY = "7c3632d6fad4489ca69c4626714459ed.a8uz4uvAReIfp5lO" # 替换成你的实际API Key
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API_URL = "https://open.bigmodel.cn/api/paas/v4/chat/completions"
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def recommend_prescription(symptom):
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headers = {
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"Authorization": f"Bearer {API_KEY}",
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"Content-Type": "application/json"
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}
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payload = {
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"model": "glm-4", # 使用GLM-4模型
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"messages": [
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{"role": "system", "content": "你是中医专家，根据症状推荐中药方剂，考虑配伍禁忌。"},
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{"role": "user", "content": f"症状：{symptom}。推荐处方，并检查禁忌。"}
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],
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"temperature": 0.7
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}
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response = requests.post(API_URL, headers=headers, json=payload)
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if response.status_code == 200:
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result = response.json()['choices'][0]['message']['content']
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return result
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else:
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return f"API调用失败，状态码: {response.status_code}, 错误: {response.text}"
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# 测试
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print(recommend_prescription("头痛发热"))
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