import os import subprocess import torch from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline 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 # Initialize Hugging Face model and tokenizer TOKENIZER = AutoTokenizer.from_pretrained("typefully/rag-tokenbert-3B") MODEL = AutoModelForSeq2SeqLM.from_pretrained("typefully/rag-tokenbert-3B") PIPELINE = pipeline('text-generation', model=MODEL, tokenizer=TOKENIZER, device=-1) VERBOSE = False MAX_HISTORY = 100 def hf_run_gpt(prompt_template, stop_tokens, max_length, 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)) input_seq = TOKENIZER(content, return_tensors='pt', truncation=True, padding='longest')['input_ids'] output_sequences = PIPELINE(input_seq, max_length=max_length, num_return_sequences=1, do_sample=False) resp = TOKENIZER.decode(output_sequences[0]['generated_text'], skip_special_tokens=True) if VERBOSE: print(LOG_RESPONSE.format(resp)) return resp def compress_history(purpose, task, history, directory): module_summary, _, _ = read_python_module_structure(directory) resp = hf_run_gpt( COMPRESS_HISTORY_PROMPT, stop_tokens=["observation:", "task:", "action:", "thought:"], max_length=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 = hf_run_gpt( ACTION_PROMPT, stop_tokens=["observation:", "task:"], max_length=256, module_summary=module_summary, purpose=purpose, task=task, history=history, ) lines = resp.strip().split("\n") for line in lines: 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 = hf_run_gpt( UNDERSTAND_TEST_RESULTS_PROMPT, stop_tokens=[], max_length=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 = hf_run_gpt( TASK_PROMPT, stop_tokens=[], max_length=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.get(action_input, "< document is empty >") resp = hf_run_gpt( READ_PROMPT, stop_tokens=[], max_length=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.get(action_input, "< document is empty >") resp = hf_run_gpt( MODIFY_PROMPT, stop_tokens=["action:", "thought:", "observation:"], max_length=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 = hf_run_gpt( ADD_PROMPT, stop_tokens=["action:", "thought:", "observation:"], max_length=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 += "observation: {}\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, ) if __name__ == "__main__": # Example usage run("Your purpose here", "path/to/your/directory")