import re from pprint import pprint class MessageComposer: """ models: - mixtral-8x7b (mistralai/Mixtral-8x7B-Instruct-v0.1) """ def __init__(self, model: str = None): self.inst_roles = ["user", "system", "inst"] self.answer_roles = ["assistant", "bot", "answer"] def concat_messages_by_role(self, messages): def is_same_role(role1, role2): if ( (role1 == role2) or (role1 in self.inst_roles and role2 in self.inst_roles) or (role1 in self.answer_roles and role2 in self.answer_roles) ): return True else: return False concat_messages = [] for message in messages: role = message["role"] content = message["content"] if concat_messages and is_same_role(role, concat_messages[-1]["role"]): concat_messages[-1]["content"] += "\n" + content else: if role in self.inst_roles: message["role"] = "inst" elif role in self.answer_roles: message["role"] = "answer" else: message["role"] = "inst" concat_messages.append(message) return concat_messages def merge(self, messages) -> str: # [INST] Instruction [/INST] Model answer [INST] Follow-up instruction [/INST] self.messages = self.concat_messages_by_role(messages) self.merged_str = "" self.cached_str = "" for message in self.messages: role = message["role"] content = message["content"] if role in self.inst_roles: self.cached_str = f"[INST] {content} [/INST]" elif role in self.answer_roles: self.merged_str += f" {self.cached_str} {content} \n" self.cached_str = "" else: self.cached_str = f"[INST] {content} [/INST]" if self.cached_str: self.merged_str += f"{self.cached_str}" return self.merged_str def split(self, merged_str) -> list: self.messages = [] self.merged_str = merged_str pair_pattern = ( r"\s*\[INST\](?P[\s\S]*?)\[/INST\](?P[\s\S]*?)" ) pair_matches = re.finditer(pair_pattern, self.merged_str, re.MULTILINE) pair_matches_list = list(pair_matches) if len(pair_matches_list) <= 0: self.messages = [ { "role": "user", "content": self.merged_str, } ] else: for match in pair_matches_list: inst = match.group("inst") answer = match.group("answer") self.messages.extend( [ {"role": "user", "content": inst.strip()}, {"role": "assistant", "content": answer.strip()}, ] ) inst_pattern = r"\[INST\](?P[\s\S]*?)\[/INST\]" inst_matches = re.finditer(inst_pattern, self.merged_str, re.MULTILINE) inst_matches_list = list(inst_matches) if len(inst_matches_list) > len(pair_matches_list): self.messages.extend( [ { "role": "user", "content": inst_matches_list[-1].group("inst").strip(), } ] ) return self.messages if __name__ == "__main__": composer = MessageComposer() messages = [ { "role": "system", "content": "You are a LLM developed by OpenAI. Your name is GPT-4.", }, {"role": "user", "content": "Hello, who are you?"}, {"role": "assistant", "content": "I am a bot."}, # {"role": "user", "content": "What is your name?"}, {"role": "assistant", "content": "My name is Bing."}, # {"role": "user", "content": "Tell me a joke."}, # {"role": "assistant", "content": "What is a robot's favorite type of music?"}, # { # "role": "user", # "content": "How many questions have I asked? Please list them.", # }, ] merged_str = composer.merge(messages) print(merged_str) pprint(composer.split(merged_str)) # print(composer.merge(composer.split(merged_str)))