Deepseek AnythingLLM本地部署的API调用实现详解(Python版)
结合AnythingLLM官方api接口介绍:其中slug需要在workspace工作区查找本地新建的工作区在json文件中可以查找到对应的slug。
python:代码调用
import requests
import json
def ask_anythingllm(question, slug, api_key):
url = f"http://localhost:3001/api/v1/workspace/{slug}/chat"
headers = {
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json",
"accept": "application/json"
}
data = {
"message": question,
"mode": "chat" # 可选chat/query模式,其中query为查询对话,默认chat聊天
}
response = requests.post(url, headers=headers, json=data)
if response.status_code == 200:
result = response.json()
# 提取有效回答(去除思考过程)
answer = result['textResponse'].split('</think>')[-1].strip()
sources = result.get('sources', [])
return answer, sources, result
else:
return f"Error: {response.text}", []
# 示例调用
api_key = "YOU_APIKEY" #替换成你自己的apikey
slug = "YOU_slug" #替换成你自己的slug
question = "请介绍你自己的版本和能做的事"
answer, sources, result = ask_anythingllm(question, slug, api_key)
print("回答:", answer)
print("来源:", [src['title'] for src in sources])
print("JSON所有信息",result)
注意:此方法非流式回答,需等待ai说完后才可以显示信息
作者:心态69