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hub / github.com/SamuelSchmidgall/AgentLaboratory / gen_initial_code

Method gen_initial_code

mlesolver.py:250–274  ·  view source on GitHub ↗
(self)

Source from the content-addressed store, hash-verified

248 return text
249
250 def gen_initial_code(self):
251 num_attempts = 0
252 error_hist = list()
253 while True:
254 if num_attempts == 0:
255 err = str()
256 err_hist = str()
257 else:
258 err = f"The following was the previous command generated: {model_resp}. This was the error return {cmd_str}. You should make sure not to repeat this error and to solve the presented problem."
259 error_hist.append(err)
260 if len(error_hist) == 5: _ = error_hist.pop(0)
261 err = "\n".join(error_hist)
262 err_hist = "The following is a history of your previous errors\n" + err + "\nDO NOT REPEAT THESE."
263 model_resp = query_model(
264 openai_api_key=self.openai_api_key,
265 model_str=self.model,
266 system_prompt=self.system_prompt(),
267 prompt=f"{err_hist}\nYou should now use ```REPLACE to create initial code to solve the challenge. Now please enter the ```REPLACE command below:\n ", temp=1.0)
268 model_resp = self.clean_text(model_resp)
269 cmd_str, code_lines, prev_code_ret, should_execute_code, score = self.process_command(model_resp)
270 if not self.supress_print: print(f"@@@ INIT ATTEMPT: Command Exec // Attempt {num_attempts}: ", str(cmd_str).replace("\n", " | "))
271 if not self.supress_print: print(f"$$$ Score: {score}")
272 if score is not None: break
273 num_attempts += 1
274 return code_lines, prev_code_ret, score
275
276 def solve(self):
277 num_attempts = 0

Callers 1

initial_solveMethod · 0.95

Calls 4

system_promptMethod · 0.95
clean_textMethod · 0.95
process_commandMethod · 0.95
query_modelFunction · 0.85

Tested by

no test coverage detected