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import os | |
import subprocess | |
import openai | |
from agent.prompts import ( | |
ACTION_PROMPT, | |
ADD_PROMPT, | |
COMPRESS_HISTORY_PROMPT, | |
LOG_PROMPT, | |
LOG_RESPONSE, | |
MODIFY_PROMPT, | |
PREFIX, | |
READ_PROMPT, | |
TASK_PROMPT, | |
UNDERSTAND_TEST_RESULTS_PROMPT, | |
) | |
from agent.utils import parse_action, parse_file_content, read_python_module_structure | |
VERBOSE = False | |
MAX_HISTORY = 100 | |
MODEL = "gpt-3.5-turbo" # "gpt-4" | |
def run_gpt( | |
prompt_template, | |
stop_tokens, | |
max_tokens, | |
module_summary, | |
purpose, | |
**prompt_kwargs, | |
): | |
content = PREFIX.format( | |
module_summary=module_summary, | |
purpose=purpose, | |
) + prompt_template.format(**prompt_kwargs) | |
if VERBOSE: | |
print(LOG_PROMPT.format(content)) | |
resp = openai.ChatCompletion.create( | |
model=MODEL, | |
messages=[ | |
{"role": "system", "content": content}, | |
], | |
temperature=0.0, | |
max_tokens=max_tokens, | |
stop=stop_tokens if stop_tokens else None, | |
)["choices"][0]["message"]["content"] | |
if VERBOSE: | |
print(LOG_RESPONSE.format(resp)) | |
return resp | |
def compress_history(purpose, task, history, directory): | |
module_summary, _, _ = read_python_module_structure(directory) | |
resp = run_gpt( | |
COMPRESS_HISTORY_PROMPT, | |
stop_tokens=["observation:", "task:", "action:", "thought:"], | |
max_tokens=512, | |
module_summary=module_summary, | |
purpose=purpose, | |
task=task, | |
history=history, | |
) | |
history = "observation: {}\n".format(resp) | |
return history | |
def call_main(purpose, task, history, directory, action_input): | |
module_summary, _, _ = read_python_module_structure(directory) | |
resp = run_gpt( | |
ACTION_PROMPT, | |
stop_tokens=["observation:", "task:"], | |
max_tokens=256, | |
module_summary=module_summary, | |
purpose=purpose, | |
task=task, | |
history=history, | |
) | |
lines = resp.strip().strip("\n").split("\n") | |
for line in lines: | |
if line == "": | |
continue | |
if line.startswith("thought: "): | |
history += "{}\n".format(line) | |
elif line.startswith("action: "): | |
action_name, action_input = parse_action(line) | |
history += "{}\n".format(line) | |
return action_name, action_input, history, task | |
else: | |
assert False, "unknown action: {}".format(line) | |
return "MAIN", None, history, task | |
def call_test(purpose, task, history, directory, action_input): | |
result = subprocess.run( | |
["python", "-m", "pytest", "--collect-only", directory], | |
capture_output=True, | |
text=True, | |
) | |
if result.returncode != 0: | |
history += "observation: there are no tests! Test should be written in a test folder under {}\n".format( | |
directory | |
) | |
return "MAIN", None, history, task | |
result = subprocess.run( | |
["python", "-m", "pytest", directory], capture_output=True, text=True | |
) | |
if result.returncode == 0: | |
history += "observation: tests pass\n" | |
return "MAIN", None, history, task | |
module_summary, content, _ = read_python_module_structure(directory) | |
resp = run_gpt( | |
UNDERSTAND_TEST_RESULTS_PROMPT, | |
stop_tokens=[], | |
max_tokens=256, | |
module_summary=module_summary, | |
purpose=purpose, | |
task=task, | |
history=history, | |
stdout=result.stdout[:5000], # limit amount of text | |
stderr=result.stderr[:5000], # limit amount of text | |
) | |
history += "observation: tests failed: {}\n".format(resp) | |
return "MAIN", None, history, task | |
def call_set_task(purpose, task, history, directory, action_input): | |
module_summary, content, _ = read_python_module_structure(directory) | |
task = run_gpt( | |
TASK_PROMPT, | |
stop_tokens=[], | |
max_tokens=64, | |
module_summary=module_summary, | |
purpose=purpose, | |
task=task, | |
history=history, | |
).strip("\n") | |
history += "observation: task has been updated to: {}\n".format(task) | |
return "MAIN", None, history, task | |
def call_read(purpose, task, history, directory, action_input): | |
if not os.path.exists(action_input): | |
history += "observation: file does not exist\n" | |
return "MAIN", None, history, task | |
module_summary, content, _ = read_python_module_structure(directory) | |
f_content = ( | |
content[action_input] if content[action_input] else "< document is empty >" | |
) | |
resp = run_gpt( | |
READ_PROMPT, | |
stop_tokens=[], | |
max_tokens=256, | |
module_summary=module_summary, | |
purpose=purpose, | |
task=task, | |
history=history, | |
file_path=action_input, | |
file_contents=f_content, | |
).strip("\n") | |
history += "observation: {}\n".format(resp) | |
return "MAIN", None, history, task | |
def call_modify(purpose, task, history, directory, action_input): | |
if not os.path.exists(action_input): | |
history += "observation: file does not exist\n" | |
return "MAIN", None, history, task | |
( | |
module_summary, | |
content, | |
_, | |
) = read_python_module_structure(directory) | |
f_content = ( | |
content[action_input] if content[action_input] else "< document is empty >" | |
) | |
resp = run_gpt( | |
MODIFY_PROMPT, | |
stop_tokens=["action:", "thought:", "observation:"], | |
max_tokens=2048, | |
module_summary=module_summary, | |
purpose=purpose, | |
task=task, | |
history=history, | |
file_path=action_input, | |
file_contents=f_content, | |
) | |
new_contents, description = parse_file_content(resp) | |
if new_contents is None: | |
history += "observation: failed to modify file\n" | |
return "MAIN", None, history, task | |
with open(action_input, "w") as f: | |
f.write(new_contents) | |
history += "observation: file successfully modified\n" | |
history += "observation: {}\n".format(description) | |
return "MAIN", None, history, task | |
def call_add(purpose, task, history, directory, action_input): | |
d = os.path.dirname(action_input) | |
if not d.startswith(directory): | |
history += "observation: files must be under directory {}\n".format(directory) | |
elif not action_input.endswith(".py"): | |
history += "observation: can only write .py files\n" | |
else: | |
if d and not os.path.exists(d): | |
os.makedirs(d) | |
if not os.path.exists(action_input): | |
module_summary, _, _ = read_python_module_structure(directory) | |
resp = run_gpt( | |
ADD_PROMPT, | |
stop_tokens=["action:", "thought:", "observation:"], | |
max_tokens=2048, | |
module_summary=module_summary, | |
purpose=purpose, | |
task=task, | |
history=history, | |
file_path=action_input, | |
) | |
new_contents, description = parse_file_content(resp) | |
if new_contents is None: | |
history += "observation: failed to write file\n" | |
return "MAIN", None, history, task | |
with open(action_input, "w") as f: | |
f.write(new_contents) | |
history += "observation: file successfully written\n" | |
history += "obsertation: {}\n".format(description) | |
else: | |
history += "observation: file already exists\n" | |
return "MAIN", None, history, task | |
NAME_TO_FUNC = { | |
"MAIN": call_main, | |
"UPDATE-TASK": call_set_task, | |
"MODIFY-FILE": call_modify, | |
"READ-FILE": call_read, | |
"ADD-FILE": call_add, | |
"TEST": call_test, | |
} | |
def run_action(purpose, task, history, directory, action_name, action_input): | |
if action_name == "COMPLETE": | |
exit(0) | |
# compress the history when it is long | |
if len(history.split("\n")) > MAX_HISTORY: | |
if VERBOSE: | |
print("COMPRESSING HISTORY") | |
history = compress_history(purpose, task, history, directory) | |
assert action_name in NAME_TO_FUNC | |
print("RUN: ", action_name, action_input) | |
return NAME_TO_FUNC[action_name](purpose, task, history, directory, action_input) | |
def run(purpose, directory, task=None): | |
history = "" | |
action_name = "UPDATE-TASK" if task is None else "MAIN" | |
action_input = None | |
while True: | |
print("") | |
print("") | |
print("---") | |
print("purpose:", purpose) | |
print("task:", task) | |
print("---") | |
print(history) | |
print("---") | |
action_name, action_input, history, task = run_action( | |
purpose, | |
task, | |
history, | |
directory, | |
action_name, | |
action_input, | |
) |