api_like_OAI.py 10 KB

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  1. #!/usr/bin/env python3
  2. import argparse
  3. from flask import Flask, jsonify, request, Response
  4. import urllib.parse
  5. import requests
  6. import time
  7. import json
  8. app = Flask(__name__)
  9. slot_id = -1
  10. parser = argparse.ArgumentParser(description="An example of using server.cpp with a similar API to OAI. It must be used together with server.cpp.")
  11. parser.add_argument("--chat-prompt", type=str, help="the top prompt in chat completions(default: 'A chat between a curious user and an artificial intelligence assistant. The assistant follows the given rules no matter what.')", default='A chat between a curious user and an artificial intelligence assistant. The assistant follows the given rules no matter what.')
  12. parser.add_argument("--user-name", type=str, help="USER name in chat completions(default: 'USER: ')", default="USER: ")
  13. parser.add_argument("--ai-name", type=str, help="ASSISTANT name in chat completions(default: 'ASSISTANT: ')", default="ASSISTANT: ")
  14. parser.add_argument("--system-name", type=str, help="SYSTEM name in chat completions(default: 'ASSISTANT's RULE: ')", default="ASSISTANT's RULE: ")
  15. parser.add_argument("--stop", type=str, help="the end of response in chat completions(default: '</s>')", default="</s>")
  16. parser.add_argument("--llama-api", type=str, help="Set the address of server.cpp in llama.cpp(default: http://127.0.0.1:8080)", default='http://127.0.0.1:8080')
  17. parser.add_argument("--api-key", type=str, help="Set the api key to allow only few user(default: NULL)", default="")
  18. parser.add_argument("--host", type=str, help="Set the ip address to listen.(default: 127.0.0.1)", default='127.0.0.1')
  19. parser.add_argument("--port", type=int, help="Set the port to listen.(default: 8081)", default=8081)
  20. args = parser.parse_args()
  21. def is_present(json, key):
  22. try:
  23. buf = json[key]
  24. except KeyError:
  25. return False
  26. if json[key] == None:
  27. return False
  28. return True
  29. #convert chat to prompt
  30. def convert_chat(messages):
  31. system_n = args.system_name
  32. user_n = args.user_name
  33. ai_n = args.ai_name
  34. stop = args.stop
  35. prompt = "" + args.chat_prompt + stop
  36. for line in messages:
  37. if (line["role"] == "system"):
  38. prompt += f"{system_n}{line['content']}{stop}"
  39. if (line["role"] == "user"):
  40. prompt += f"{user_n}{line['content']}{stop}"
  41. if (line["role"] == "assistant"):
  42. prompt += f"{ai_n}{line['content']}{stop}"
  43. prompt += ai_n.rstrip()
  44. return prompt
  45. def make_postData(body, chat=False, stream=False):
  46. postData = {}
  47. if (chat):
  48. postData["prompt"] = convert_chat(body["messages"])
  49. else:
  50. postData["prompt"] = body["prompt"]
  51. if(is_present(body, "temperature")): postData["temperature"] = body["temperature"]
  52. if(is_present(body, "top_k")): postData["top_k"] = body["top_k"]
  53. if(is_present(body, "top_p")): postData["top_p"] = body["top_p"]
  54. if(is_present(body, "max_tokens")): postData["n_predict"] = body["max_tokens"]
  55. if(is_present(body, "presence_penalty")): postData["presence_penalty"] = body["presence_penalty"]
  56. if(is_present(body, "frequency_penalty")): postData["frequency_penalty"] = body["frequency_penalty"]
  57. if(is_present(body, "repeat_penalty")): postData["repeat_penalty"] = body["repeat_penalty"]
  58. if(is_present(body, "mirostat")): postData["mirostat"] = body["mirostat"]
  59. if(is_present(body, "mirostat_tau")): postData["mirostat_tau"] = body["mirostat_tau"]
  60. if(is_present(body, "mirostat_eta")): postData["mirostat_eta"] = body["mirostat_eta"]
  61. if(is_present(body, "seed")): postData["seed"] = body["seed"]
  62. if(is_present(body, "logit_bias")): postData["logit_bias"] = [[int(token), body["logit_bias"][token]] for token in body["logit_bias"].keys()]
  63. if (args.stop != ""):
  64. postData["stop"] = [args.stop]
  65. else:
  66. postData["stop"] = []
  67. if(is_present(body, "stop")): postData["stop"] += body["stop"]
  68. postData["n_keep"] = -1
  69. postData["stream"] = stream
  70. postData["cache_prompt"] = True
  71. postData["slot_id"] = slot_id
  72. return postData
  73. def make_resData(data, chat=False, promptToken=[]):
  74. resData = {
  75. "id": "chatcmpl" if (chat) else "cmpl",
  76. "object": "chat.completion" if (chat) else "text_completion",
  77. "created": int(time.time()),
  78. "truncated": data["truncated"],
  79. "model": "LLaMA_CPP",
  80. "usage": {
  81. "prompt_tokens": data["tokens_evaluated"],
  82. "completion_tokens": data["tokens_predicted"],
  83. "total_tokens": data["tokens_evaluated"] + data["tokens_predicted"]
  84. }
  85. }
  86. if (len(promptToken) != 0):
  87. resData["promptToken"] = promptToken
  88. if (chat):
  89. #only one choice is supported
  90. resData["choices"] = [{
  91. "index": 0,
  92. "message": {
  93. "role": "assistant",
  94. "content": data["content"],
  95. },
  96. "finish_reason": "stop" if (data["stopped_eos"] or data["stopped_word"]) else "length"
  97. }]
  98. else:
  99. #only one choice is supported
  100. resData["choices"] = [{
  101. "text": data["content"],
  102. "index": 0,
  103. "logprobs": None,
  104. "finish_reason": "stop" if (data["stopped_eos"] or data["stopped_word"]) else "length"
  105. }]
  106. return resData
  107. def make_resData_stream(data, chat=False, time_now = 0, start=False):
  108. resData = {
  109. "id": "chatcmpl" if (chat) else "cmpl",
  110. "object": "chat.completion.chunk" if (chat) else "text_completion.chunk",
  111. "created": time_now,
  112. "model": "LLaMA_CPP",
  113. "choices": [
  114. {
  115. "finish_reason": None,
  116. "index": 0
  117. }
  118. ]
  119. }
  120. slot_id = data.get("slot_id")
  121. if (chat):
  122. if (start):
  123. resData["choices"][0]["delta"] = {
  124. "role": "assistant"
  125. }
  126. else:
  127. resData["choices"][0]["delta"] = {
  128. "content": data["content"]
  129. }
  130. if (data["stop"]):
  131. resData["choices"][0]["finish_reason"] = "stop" if (data["stopped_eos"] or data["stopped_word"]) else "length"
  132. else:
  133. resData["choices"][0]["text"] = data["content"]
  134. if (data["stop"]):
  135. resData["choices"][0]["finish_reason"] = "stop" if (data["stopped_eos"] or data["stopped_word"]) else "length"
  136. return resData
  137. @app.route('/chat/completions', methods=['POST', 'OPTIONS'])
  138. @app.route('/v1/chat/completions', methods=['POST', 'OPTIONS'])
  139. def chat_completions():
  140. if (args.api_key != "" and request.headers["Authorization"].split()[1] != args.api_key):
  141. return Response(status=403)
  142. if request.method == 'OPTIONS':
  143. return Response(headers={"Access-Control-Allow-Origin": "*", "Access-Control-Allow-Headers": "*"})
  144. body = request.get_json()
  145. stream = False
  146. tokenize = False
  147. if(is_present(body, "stream")): stream = body["stream"]
  148. if(is_present(body, "tokenize")): tokenize = body["tokenize"]
  149. postData = make_postData(body, chat=True, stream=stream)
  150. promptToken = []
  151. if (tokenize):
  152. tokenData = requests.request("POST", urllib.parse.urljoin(args.llama_api, "/tokenize"), data=json.dumps({"content": postData["prompt"]})).json()
  153. promptToken = tokenData["tokens"]
  154. if (not stream):
  155. data = requests.request("POST", urllib.parse.urljoin(args.llama_api, "/completion"), data=json.dumps(postData))
  156. print(data.json())
  157. resData = make_resData(data.json(), chat=True, promptToken=promptToken)
  158. return jsonify(resData)
  159. else:
  160. def generate():
  161. data = requests.request("POST", urllib.parse.urljoin(args.llama_api, "/completion"), data=json.dumps(postData), stream=True)
  162. time_now = int(time.time())
  163. resData = make_resData_stream({}, chat=True, time_now=time_now, start=True)
  164. yield 'data: {}\n\n'.format(json.dumps(resData))
  165. for line in data.iter_lines():
  166. if line:
  167. decoded_line = line.decode('utf-8')
  168. resData = make_resData_stream(json.loads(decoded_line[6:]), chat=True, time_now=time_now)
  169. yield 'data: {}\n\n'.format(json.dumps(resData))
  170. return Response(generate(), mimetype='text/event-stream', headers={"Access-Control-Allow-Origin": "*", "Access-Control-Allow-Headers": "*"})
  171. @app.route('/completions', methods=['POST', 'OPTIONS'])
  172. @app.route('/v1/completions', methods=['POST', 'OPTIONS'])
  173. def completion():
  174. if (args.api_key != "" and request.headers["Authorization"].split()[1] != args.api_key):
  175. return Response(status=403)
  176. if request.method == 'OPTIONS':
  177. return Response(headers={"Access-Control-Allow-Origin": "*", "Access-Control-Allow-Headers": "*"})
  178. body = request.get_json()
  179. stream = False
  180. tokenize = False
  181. if(is_present(body, "stream")): stream = body["stream"]
  182. if(is_present(body, "tokenize")): tokenize = body["tokenize"]
  183. postData = make_postData(body, chat=False, stream=stream)
  184. promptToken = []
  185. if (tokenize):
  186. tokenData = requests.request("POST", urllib.parse.urljoin(args.llama_api, "/tokenize"), data=json.dumps({"content": postData["prompt"]})).json()
  187. promptToken = tokenData["tokens"]
  188. if (not stream):
  189. data = requests.request("POST", urllib.parse.urljoin(args.llama_api, "/completion"), data=json.dumps(postData))
  190. print(data.json())
  191. resData = make_resData(data.json(), chat=False, promptToken=promptToken)
  192. return jsonify(resData)
  193. else:
  194. def generate():
  195. data = requests.request("POST", urllib.parse.urljoin(args.llama_api, "/completion"), data=json.dumps(postData), stream=True)
  196. time_now = int(time.time())
  197. for line in data.iter_lines():
  198. if line:
  199. decoded_line = line.decode('utf-8')
  200. resData = make_resData_stream(json.loads(decoded_line[6:]), chat=False, time_now=time_now)
  201. yield 'data: {}\n\n'.format(json.dumps(resData))
  202. return Response(generate(), mimetype='text/event-stream', headers={"Access-Control-Allow-Origin": "*", "Access-Control-Allow-Headers": "*"})
  203. if __name__ == '__main__':
  204. app.run(args.host, port=args.port)