mirror of
https://github.com/ggerganov/llama.cpp.git
synced 2024-12-27 11:54:35 +00:00
220 lines
9.5 KiB
Python
220 lines
9.5 KiB
Python
|
import argparse
|
||
|
|
from flask import Flask, jsonify, request, Response
|
||
|
|
import urllib.parse
|
||
|
|
import requests
|
||
|
|
import time
|
||
|
|
import json
|
||
|
|
|
||
|
|
|
||
|
|
app = Flask(__name__)
|
||
|
|
|
||
|
|
parser = argparse.ArgumentParser(description="An example of using server.cpp with a similar API to OAI. It must be used together with server.cpp.")
|
||
|
|
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.\\n')", default='A chat between a curious user and an artificial intelligence assistant. The assistant follows the given rules no matter what.\\n')
|
||
|
|
parser.add_argument("--user-name", type=str, help="USER name in chat completions(default: '\\nUSER: ')", default="\\nUSER: ")
|
||
|
|
parser.add_argument("--ai-name", type=str, help="ASSISTANT name in chat completions(default: '\\nASSISTANT: ')", default="\\nASSISTANT: ")
|
||
|
|
parser.add_argument("--system-name", type=str, help="SYSTEM name in chat completions(default: '\\nASSISTANT's RULE: ')", default="\\nASSISTANT's RULE: ")
|
||
|
|
parser.add_argument("--stop", type=str, help="the end of response in chat completions(default: '</s>')", default="</s>")
|
||
|
|
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')
|
||
|
|
parser.add_argument("--api-key", type=str, help="Set the api key to allow only few user(default: NULL)", default="")
|
||
|
|
parser.add_argument("--host", type=str, help="Set the ip address to listen.(default: 127.0.0.1)", default='127.0.0.1')
|
||
|
|
parser.add_argument("--port", type=int, help="Set the port to listen.(default: 8081)", default=8081)
|
||
|
|
|
||
|
|
args = parser.parse_args()
|
||
|
|
|
||
|
|
def is_present(json, key):
|
||
|
|
try:
|
||
|
|
buf = json[key]
|
||
|
|
except KeyError:
|
||
|
|
return False
|
||
|
|
return True
|
||
|
|
|
||
|
|
|
||
|
|
|
||
|
|
#convert chat to prompt
|
||
|
|
def convert_chat(messages):
|
||
|
|
prompt = "" + args.chat_prompt.replace("\\n", "\n")
|
||
|
|
|
||
|
|
system_n = args.system_name.replace("\\n", "\n")
|
||
|
|
user_n = args.user_name.replace("\\n", "\n")
|
||
|
|
ai_n = args.ai_name.replace("\\n", "\n")
|
||
|
|
stop = args.stop.replace("\\n", "\n")
|
||
|
|
|
||
|
|
|
||
|
|
for line in messages:
|
||
|
|
if (line["role"] == "system"):
|
||
|
|
prompt += f"{system_n}{line['content']}"
|
||
|
|
if (line["role"] == "user"):
|
||
|
|
prompt += f"{user_n}{line['content']}"
|
||
|
|
if (line["role"] == "assistant"):
|
||
|
|
prompt += f"{ai_n}{line['content']}{stop}"
|
||
|
|
prompt += ai_n.rstrip()
|
||
|
|
|
||
|
|
return prompt
|
||
|
|
|
||
|
|
def make_postData(body, chat=False, stream=False):
|
||
|
|
postData = {}
|
||
|
|
if (chat):
|
||
|
|
postData["prompt"] = convert_chat(body["messages"])
|
||
|
|
else:
|
||
|
|
postData["prompt"] = body["prompt"]
|
||
|
|
if(is_present(body, "temperature")): postData["temperature"] = body["temperature"]
|
||
|
|
if(is_present(body, "top_k")): postData["top_k"] = body["top_k"]
|
||
|
|
if(is_present(body, "top_p")): postData["top_p"] = body["top_p"]
|
||
|
|
if(is_present(body, "max_tokens")): postData["n_predict"] = body["max_tokens"]
|
||
|
|
if(is_present(body, "presence_penalty")): postData["presence_penalty"] = body["presence_penalty"]
|
||
|
|
if(is_present(body, "frequency_penalty")): postData["frequency_penalty"] = body["frequency_penalty"]
|
||
|
|
if(is_present(body, "repeat_penalty")): postData["repeat_penalty"] = body["repeat_penalty"]
|
||
|
|
if(is_present(body, "mirostat")): postData["mirostat"] = body["mirostat"]
|
||
|
|
if(is_present(body, "mirostat_tau")): postData["mirostat_tau"] = body["mirostat_tau"]
|
||
|
|
if(is_present(body, "mirostat_eta")): postData["mirostat_eta"] = body["mirostat_eta"]
|
||
|
|
if(is_present(body, "seed")): postData["seed"] = body["seed"]
|
||
|
|
if(is_present(body, "logit_bias")): postData["logit_bias"] = [[int(token), body["logit_bias"][token]] for token in body["logit_bias"].keys()]
|
||
|
|
if (args.stop != ""):
|
||
|
|
postData["stop"] = [args.stop]
|
||
|
|
else:
|
||
|
|
postData["stop"] = []
|
||
|
|
if(is_present(body, "stop")): postData["stop"] += body["stop"]
|
||
|
|
postData["n_keep"] = -1
|
||
|
|
postData["stream"] = stream
|
||
|
|
|
||
|
|
return postData
|
||
|
|
|
||
|
|
def make_resData(data, chat=False, promptToken=[]):
|
||
|
|
resData = {
|
||
|
|
"id": "chatcmpl" if (chat) else "cmpl",
|
||
|
|
"object": "chat.completion" if (chat) else "text_completion",
|
||
|
|
"created": int(time.time()),
|
||
|
|
"truncated": data["truncated"],
|
||
|
|
"model": "LLaMA_CPP",
|
||
|
|
"usage": {
|
||
|
|
"prompt_tokens": data["tokens_evaluated"],
|
||
|
|
"completion_tokens": data["tokens_predicted"],
|
||
|
|
"total_tokens": data["tokens_evaluated"] + data["tokens_predicted"]
|
||
|
|
}
|
||
|
|
}
|
||
|
|
if (len(promptToken) != 0):
|
||
|
|
resData["promptToken"] = promptToken
|
||
|
|
if (chat):
|
||
|
|
#only one choice is supported
|
||
|
|
resData["choices"] = [{
|
||
|
|
"index": 0,
|
||
|
|
"message": {
|
||
|
|
"role": "assistant",
|
||
|
|
"content": data["content"],
|
||
|
|
},
|
||
|
|
"finish_reason": "stop" if (data["stopped_eos"] or data["stopped_word"]) else "length"
|
||
|
|
}]
|
||
|
|
else:
|
||
|
|
#only one choice is supported
|
||
|
|
resData["choices"] = [{
|
||
|
|
"text": data["content"],
|
||
|
|
"index": 0,
|
||
|
|
"logprobs": None,
|
||
|
|
"finish_reason": "stop" if (data["stopped_eos"] or data["stopped_word"]) else "length"
|
||
|
|
}]
|
||
|
|
return resData
|
||
|
|
|
||
|
|
def make_resData_stream(data, chat=False, time_now = 0, start=False):
|
||
|
|
resData = {
|
||
|
|
"id": "chatcmpl" if (chat) else "cmpl",
|
||
|
|
"object": "chat.completion.chunk" if (chat) else "text_completion.chunk",
|
||
|
|
"created": time_now,
|
||
|
|
"model": "LLaMA_CPP",
|
||
|
|
"choices": [
|
||
|
|
{
|
||
|
|
"finish_reason": None,
|
||
|
|
"index": 0
|
||
|
|
}
|
||
|
|
]
|
||
|
|
}
|
||
|
|
if (chat):
|
||
|
|
if (start):
|
||
|
|
resData["choices"][0]["delta"] = {
|
||
|
|
"role": "assistant"
|
||
|
|
}
|
||
|
|
else:
|
||
|
|
resData["choices"][0]["delta"] = {
|
||
|
|
"content": data["content"]
|
||
|
|
}
|
||
|
|
if (data["stop"]):
|
||
|
|
resData["choices"][0]["finish_reason"] = "stop" if (data["stopped_eos"] or data["stopped_word"]) else "length"
|
||
|
|
else:
|
||
|
|
resData["choices"][0]["text"] = data["content"]
|
||
|
|
if (data["stop"]):
|
||
|
|
resData["choices"][0]["finish_reason"] = "stop" if (data["stopped_eos"] or data["stopped_word"]) else "length"
|
||
|
|
|
||
|
|
return resData
|
||
|
|
|
||
|
|
|
||
|
|
@app.route('/chat/completions', methods=['POST'])
|
||
|
|
@app.route('/v1/chat/completions', methods=['POST'])
|
||
|
|
def chat_completions():
|
||
|
|
if (args.api_key != "" and request.headers["Authorization"].split()[1] != args.api_key):
|
||
|
|
return Response(status=403)
|
||
|
|
body = request.get_json()
|
||
|
|
stream = False
|
||
|
|
tokenize = False
|
||
|
|
if(is_present(body, "stream")): stream = body["stream"]
|
||
|
|
if(is_present(body, "tokenize")): tokenize = body["tokenize"]
|
||
|
|
postData = make_postData(body, chat=True, stream=stream)
|
||
|
|
|
||
|
|
promptToken = []
|
||
|
|
if (tokenize):
|
||
|
|
tokenData = requests.request("POST", urllib.parse.urljoin(args.llama_api, "/tokenize"), data=json.dumps({"content": postData["prompt"]})).json()
|
||
|
|
promptToken = tokenData["tokens"]
|
||
|
|
|
||
|
|
if (not stream):
|
||
|
|
data = requests.request("POST", urllib.parse.urljoin(args.llama_api, "/completion"), data=json.dumps(postData))
|
||
|
|
print(data.json())
|
||
|
|
resData = make_resData(data.json(), chat=True, promptToken=promptToken)
|
||
|
|
return jsonify(resData)
|
||
|
|
else:
|
||
|
|
def generate():
|
||
|
|
data = requests.request("POST", urllib.parse.urljoin(args.llama_api, "/completion"), data=json.dumps(postData), stream=True)
|
||
|
|
time_now = int(time.time())
|
||
|
|
resData = make_resData_stream({}, chat=True, time_now=time_now, start=True)
|
||
|
|
yield 'data: {}\n'.format(json.dumps(resData))
|
||
|
|
for line in data.iter_lines():
|
||
|
|
if line:
|
||
|
|
decoded_line = line.decode('utf-8')
|
||
|
|
resData = make_resData_stream(json.loads(decoded_line[6:]), chat=True, time_now=time_now)
|
||
|
|
yield 'data: {}\n'.format(json.dumps(resData))
|
||
|
|
return Response(generate(), mimetype='text/event-stream')
|
||
|
|
|
||
|
|
|
||
|
|
@app.route('/completions', methods=['POST'])
|
||
|
|
@app.route('/v1/completions', methods=['POST'])
|
||
|
|
def completion():
|
||
|
|
if (args.api_key != "" and request.headers["Authorization"].split()[1] != args.api_key):
|
||
|
|
return Response(status=403)
|
||
|
|
body = request.get_json()
|
||
|
|
stream = False
|
||
|
|
tokenize = False
|
||
|
|
if(is_present(body, "stream")): stream = body["stream"]
|
||
|
|
if(is_present(body, "tokenize")): tokenize = body["tokenize"]
|
||
|
|
postData = make_postData(body, chat=False, stream=stream)
|
||
|
|
|
||
|
|
promptToken = []
|
||
|
|
if (tokenize):
|
||
|
|
tokenData = requests.request("POST", urllib.parse.urljoin(args.llama_api, "/tokenize"), data=json.dumps({"content": postData["prompt"]})).json()
|
||
|
|
promptToken = tokenData["tokens"]
|
||
|
|
|
||
|
|
if (not stream):
|
||
|
|
data = requests.request("POST", urllib.parse.urljoin(args.llama_api, "/completion"), data=json.dumps(postData))
|
||
|
|
print(data.json())
|
||
|
|
resData = make_resData(data.json(), chat=False, promptToken=promptToken)
|
||
|
|
return jsonify(resData)
|
||
|
|
else:
|
||
|
|
def generate():
|
||
|
|
data = requests.request("POST", urllib.parse.urljoin(args.llama_api, "/completion"), data=json.dumps(postData), stream=True)
|
||
|
|
time_now = int(time.time())
|
||
|
|
for line in data.iter_lines():
|
||
|
|
if line:
|
||
|
|
decoded_line = line.decode('utf-8')
|
||
|
|
resData = make_resData_stream(json.loads(decoded_line[6:]), chat=False, time_now=time_now)
|
||
|
|
yield 'data: {}\n'.format(json.dumps(resData))
|
||
|
|
return Response(generate(), mimetype='text/event-stream')
|
||
|
|
|
||
|
|
if __name__ == '__main__':
|
||
|
|
app.run(args.host, port=args.port)
|