import os import subprocess #import openai from huggingface_hub import InferenceClient import gradio as gr import prompts client = InferenceClient( "mistralai/Mixtral-8x7B-Instruct-v0.1" ) 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)) #formatted_prompt = format_prompt(f"{system_prompt}, {prompt}", history) stream = client.text_generation({"role": "system", "content": content}, **generate_kwargs, stream=True, details=True, return_full_text=False)["choices"][0]["message"]["content"] output = "" ''' 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, )