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import sys
from collections import defaultdict
sys.path.append("../")
import os
from typing import Any, Dict, List, Optional, Literal
from modules.embedding import get_embedding_model
from modules.memory import build_role_agent_memory
from modules.history_manager import HistoryManager
from bw_utils import *
import random
import warnings
warnings.filterwarnings("ignore")
class RPAgent:
def __init__(self,
role_code: str,
role_file_dir: str,
world_file_path: str,
source: str = "",
language: str = "en",
db_type: str = "chroma",
llm_name: str = "gpt-4o-mini",
llm = None,
embedding_name: str = "bge",
):
super(RPAgent, self).__init__()
self.language: str = language
self.role_code: str = role_code
self.history_manager = HistoryManager()
self.prompts: List[Dict] = []
self.acted: bool = False
self.status: str = ""
self.goal: str = ""
self.location_code: str = ""
self.location_name: str = ""
self.motivation: str = ""
self._init_from_file(role_code, role_file_dir, world_file_path, source)
self._init_prompt()
self.llm_name = llm_name
if llm == None:
llm = get_models(llm_name)
self.llm = llm
if 'embedding' not in globals():
global embedding
embedding = get_embedding_model(embedding_name, language=self.language)
self.embedding = embedding
self.db_name = clean_collection_name(f"role_{role_code}_{embedding_name}")
self.db = build_db(data = self.role_data,
db_name = self.db_name,
db_type = db_type,
embedding = embedding)
self.world_db = None
self.world_db_name = ""
self.memory = build_role_agent_memory(llm_name=llm_name,
embedding_name = embedding_name,
embedding = self.embedding,
db_name = self.db_name.replace("role","memory"),
language = self.language,
type="naive"
)
def _init_prompt(self):
if self.language == 'zh':
from modules.prompt.role_agent_prompt_zh \
import ROLE_PLAN_PROMPT,ROLE_SINGLE_ROLE_RESPONSE_PROMPT,ROLE_MULTI_ROLE_RESPONSE_PROMPT,ROLE_SET_GOAL_PROMPT,INTERVENTION_PROMPT,UPDATE_GOAL_PROMPT,UPDATE_STATUS_PROMPT,ROLE_SET_MOTIVATION_PROMPT,SCRIPT_ATTENTION_PROMPT,ROLE_MOVE_PROMPT,SUMMARIZE_PROMPT,ROLE_NPC_RESPONSE_PROMPT
else:
from modules.prompt.role_agent_prompt_en \
import ROLE_PLAN_PROMPT,ROLE_SINGLE_ROLE_RESPONSE_PROMPT,ROLE_MULTI_ROLE_RESPONSE_PROMPT,ROLE_SET_GOAL_PROMPT,INTERVENTION_PROMPT,UPDATE_GOAL_PROMPT,UPDATE_STATUS_PROMPT,ROLE_SET_MOTIVATION_PROMPT,SCRIPT_ATTENTION_PROMPT,ROLE_MOVE_PROMPT,SUMMARIZE_PROMPT,ROLE_NPC_RESPONSE_PROMPT
self._ROLE_SET_GOAL_PROMPT = ROLE_SET_GOAL_PROMPT
self._ROLE_PLAN_PROMPT = ROLE_PLAN_PROMPT
self._ROLE_SINGLE_ROLE_RESPONSE_PROMPT = ROLE_SINGLE_ROLE_RESPONSE_PROMPT
self._ROLE_MULTI_ROLE_RESPONSE_PROMPT = ROLE_MULTI_ROLE_RESPONSE_PROMPT
self._INTERVENTION_PROMPT = INTERVENTION_PROMPT
self._UPDATE_GOAL_PROMPT = UPDATE_GOAL_PROMPT
self._UPDATE_STATUS_PROMPT = UPDATE_STATUS_PROMPT
self._ROLE_SET_MOTIVATION_PROMPT = ROLE_SET_MOTIVATION_PROMPT
self._SCRIPT_PROMPT = SCRIPT_ATTENTION_PROMPT
self._ROLE_MOVE_PROMPT = ROLE_MOVE_PROMPT
self._SUMMARIZE_PROMPT = SUMMARIZE_PROMPT
self._ROLE_NPC_RESPONSE_PROMPT = ROLE_NPC_RESPONSE_PROMPT
def _init_from_file(self,
role_code: str,
role_file_dir: str,
world_file_path: str,
source:str):
if source and os.path.exists(os.path.join(role_file_dir, source)):
for path in get_child_folders(os.path.join(role_file_dir, source)):
if role_code in path:
role_path = path
break
else:
for path in get_grandchild_folders(role_file_dir):
if role_code in path:
role_path = path
break
base_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
role_profile_path = os.path.join(base_dir, role_path,"role_info.json")
role_info = load_json_file(role_profile_path)
# self.role_info = role_info
self.role_profile: str = role_info['profile']
self.nickname: str = role_info["nickname"]
self.role_name: str = role_info["role_name"]
self.relation: str = role_info["relation"]
self.motivation: str = role_info["motivation"] if "motivation" in role_info else ""
self.activity: float = float(role_info["activity"]) if "activity" in role_info else 1.0
self.icon_path: str = os.path.join(base_dir, role_path,"icon.png")
self.avatar_path: str = os.path.join(base_dir, role_path,"avatar.png")
for image_type in ['jpg','png','bmp']:
if os.path.exists(os.path.join(base_dir, role_path,f"./avatar.{image_type}")):
self.avatar_path: str = os.path.join(base_dir, role_path,f"avatar.{image_type}")
if os.path.exists(os.path.join(base_dir, role_path,f"./icon.{image_type}")):
self.icon_path: str = os.path.join(base_dir, role_path,f"icon.{image_type}")
self.role_data: List[str] = build_role_agent_data(os.path.join(base_dir, role_path))
# Agent
def set_motivation(self,
world_description: str,
other_roles_info: Dict[str, Any],
intervention: str = "",
script: str = ""):
if self.motivation:
return self.motivation
other_roles_info_text = self.get_other_roles_info_text(other_roles_info)
prompt = self._ROLE_SET_MOTIVATION_PROMPT.format(**
{
"role_name": self.role_name,
"profile":self.role_profile,
"world_description": world_description,
"other_roles_description": other_roles_info_text,
"location": self.location_name
})
if script:
script = self._SCRIPT_PROMPT.format(**
{"script": script}
)
prompt = prompt + script
elif intervention:
intervention = self._INTERVENTION_PROMPT.format(**
{"intervention": intervention}
)
prompt = intervention + prompt + "\n**注意: 在你的动机中考虑全局事件的影响**" if self.language == "zh" else intervention + prompt + "\n**Notice that: You should take the global event into consideration.**"
motivation = self.llm.chat(prompt)
self.save_prompt(prompt = prompt, detail = motivation)
self.motivation = motivation
return motivation
def plan(self,
other_roles_info: Dict[str, Any],
available_locations: List[str],
world_description: str,
intervention: str = ""):
action_history_text = self.retrieve_history(query = "", retrieve=False)
references = self.retrieve_references(query = action_history_text)
knowledges = self.retrieve_knowledges(query = action_history_text)
if len(other_roles_info) == 1:
other_roles_info_text = "没有人在这里。你不能进行涉及角色的互动。" if self.language == "zh" else "No one else is here. You can not interact with roles."
else:
other_roles_info_text = self.get_other_roles_info_text(other_roles_info, if_profile = False)
if intervention:
intervention = self._INTERVENTION_PROMPT.format(**
{"intervention": intervention}
)
prompt = self._ROLE_PLAN_PROMPT.format(**
{
"role_name": self.role_name,
"nickname": self.nickname,
"profile": self.role_profile,
"goal": self.goal,
"status": self.status,
"history": action_history_text,
"other_roles_info": other_roles_info_text,
"world_description": world_description,
"location": self.location_name,
"references": references,
"knowledges":knowledges,
}
)
prompt = intervention + prompt
max_tries = 3
plan = {"action": "待机" if self.language == "zh" else "Stay",
"destination": None,
"interact_type":'no',
"target_role_codes": [],
"target_npc_name":None,
"detail": f"{self.role_name}原地不动，观察情况。" if self.language == "zh" else f"{self.role_name} stays put."
}
for i in range(max_tries):
response = self.llm.chat(prompt)
try:
plan.update(json_parser(response))
break
except Exception as e:
print(self.role_name)
print(f"Parsing failure! {i+1}th tries. Error:", e)
print(response)
plan["role_code"] = self.role_code
self.save_prompt(detail=plan["detail"],
prompt=prompt)
return plan
def npc_interact(self,
npc_name:str,
npc_response:str,
history:str,
intervention:str = ""
):
references = self.retrieve_references(npc_response)
knowledges = self.retrieve_knowledges(query = npc_response)
if intervention:
intervention = self._INTERVENTION_PROMPT.format(**
{"intervention": intervention}
)
prompt = self._ROLE_NPC_RESPONSE_PROMPT.format(**
{
"role_name": self.role_name,
"nickname": self.nickname,
"profile": self.role_profile,
"goal": self.goal,
"npc_name":npc_name,
"npc_response":npc_response,
"references": references,
"knowledges":knowledges,
"dialogue_history": history
}
)
prompt = intervention + prompt
interaction = {
"if_end_interaction": True,
"detail": "",
}
response = self.llm.chat(prompt)
interaction.update(json_parser(response))
self.save_prompt(detail = interaction["detail"],
prompt = prompt)
return interaction
def single_role_interact(self,
action_maker_code: str,
action_maker_name: str,
action_detail: str,
action_maker_profile: str,
intervention: str = ""):
references = self.retrieve_references(action_detail)
history = self.retrieve_history(query = action_detail)
knowledges = self.retrieve_knowledges(query = action_detail)
relation = f"role_code:{action_maker_code}\n" + self.search_relation(action_maker_code)
if intervention:
intervention = self._INTERVENTION_PROMPT.format(**
{"intervention": intervention}
)
prompt = self._ROLE_SINGLE_ROLE_RESPONSE_PROMPT.format(**
{
"role_name": self.role_name,
"nickname": self.nickname,
"action_maker_name": action_maker_name,
"action_detail": action_detail,
"profile": self.role_profile,
"action_maker_profile": action_maker_profile,
"relation": relation,
"goal": self.goal,
"status": self.status,
"references": references,
"knowledges":knowledges,
"history": history
}
)
prompt = intervention + prompt
max_tries = 3
interaction = {
"if_end_interaction": True,
"extra_interact_type":"no",
"target_npc_name":"",
"detail": "",
}
for i in range(max_tries):
response = self.llm.chat(prompt)
try:
interaction.update(json_parser(response))
break
except Exception as e:
print(f"Parsing failure! {i}th tries. Error:", e)
print(response)
self.save_prompt(detail = interaction["detail"],
prompt = prompt)
return interaction
def multi_role_interact(self,
action_maker_code: str,
action_maker_name: str,
action_detail: str,
action_maker_profile: str,
other_roles_info: Dict[str, Any],
intervention: str = ""):
references = self.retrieve_references(query = action_detail)
history = self.retrieve_history(query = action_detail)
knowledges = self.retrieve_knowledges(query = action_detail)
other_roles_info_text = self.get_other_roles_info_text(other_roles_info, if_profile = False)
if intervention:
intervention = self._INTERVENTION_PROMPT.format(**
{"intervention": intervention}
)
prompt = self._ROLE_MULTI_ROLE_RESPONSE_PROMPT.format(**
{
"role_name": self.role_name,
"nickname": self.nickname,
"action_maker_name": action_maker_name,
"action_detail": action_detail,
"profile": self.role_profile,
"action_maker_profile": action_maker_profile,
"other_roles_info":other_roles_info_text,
"goal":self.goal,
"status": self.status,
"references": references,
"knowledges":knowledges,
"history": history
}
)
prompt = intervention + prompt
max_tries = 3
interaction = {
"if_end_interaction": True,
"extra_interact_type":"no",
"target_role_code":"",
"target_npc_name":"",
"visible_role_codes":[],
"detail": "",
}
for i in range(max_tries):
response = self.llm.chat(prompt)
try:
interaction.update(json_parser(response))
break
except Exception as e:
print(f"Parsing failure! {i}th tries. Error:", e)
print(response)
self.save_prompt(detail = interaction["detail"], prompt=prompt)
return interaction
def update_status(self,):
prompt = self._UPDATE_STATUS_PROMPT.format(**{
"role_name":self.role_name,
"status":self.status,
"history_text":self.retrieve_history(query=""),
"activity":self.activity
})
max_tries = 3
for i in range(max_tries):
response = self.llm.chat(prompt)
try:
status = json_parser(response)
self.status = status["updated_status"]
self.activity = float(status["activity"])
break
except Exception as e:
print(f"Parsing failure! {i}th tries. Error:", e)
print(response)
return
def update_goal(self,other_roles_status: str,instruction: str = ""):
motivation = self.motivation
if instruction:
motivation = instruction
history = self.retrieve_history(self.motivation)
if len(history) == 0:
self.goal = motivation
return motivation
prompt = self._UPDATE_GOAL_PROMPT.format(**{
"history":history,
"motivation":motivation,
"goal":self.goal,
"other_roles_status":other_roles_status,
"location":self.location_name
})
response = self.llm.chat(prompt)
try:
new_plan = json_parser(response)
if new_plan["if_change_goal"]:
goal = new_plan["updated_goal"]
self.save_prompt(prompt,response)
self.goal = goal
return goal
except Exception as e:
print(self.role_name)
print(f"Parsing failure! Error:", e)
print(response)
return ""
def move(self,
locations_info_text: str,
locations_info: Dict[str, Any]):
history_text = self.retrieve_history(query="")
prompt = self._ROLE_MOVE_PROMPT.format(**{
"role_name":self.role_name,
"profile": self.role_profile,
"goal":self.goal,
"status":self.status,
"history":history_text,
"location":self.location_name,
"locations_info_text":locations_info_text
})
response= self.llm.chat(prompt)
try:
result = json_parser(response)
if result["if_move"] and "destination_code" in result and result["destination_code"] in locations_info and result["destination_code"] != self.location_code:
destination_code = result["destination_code"]
self.save_prompt(detail = result["detail"],
prompt = prompt)
return True, result["detail"], destination_code
except Exception as e:
print(f"Parsing failure! Error:", e)
print(response)
return False, "",self.location_code
def record(self,
record):
self.history_manager.add_record(record)
def save_prompt(self,prompt,detail):
if prompt:
self.prompts.append({"prompt":prompt,
"response":detail})
# Other
def action_check(self,):
if self.acted == False:
self.acted = True
return True
dice = random.uniform(0,1)
if dice > self.activity:
self.acted = False
return False
return True
def retrieve_knowledges(self, query:str, top_k:int=1, max_words = 100):
if self.world_db is None:
return ""
knowledges = "\n".join(self.world_db.search(query, top_k,self.world_db_name))
knowledges = knowledges[:max_words]
return knowledges
def retrieve_references(self, query: str, top_k: int = 1):
if self.db is None:
return ""
references = "\n".join(self.db.search(query, top_k,self.db_name))
return references
def retrieve_history(self, query: str, top_k: int = 5, retrieve: bool = False):
if len(self.history_manager) == 0: return ""
if len(self.history_manager) >= top_k and retrieve:
history = "\n" + "\n".join(self.memory.search(query, top_k)) + "\n"
else:
history = "\n" + "\n".join(self.history_manager.get_recent_history(top_k))
return history
def get_other_roles_info_text(self, other_roles: List[str], if_relation: bool = True, if_profile: bool = True):
roles_info_text = ""
for i, role_code in enumerate(other_roles):
if role_code == self.role_code :continue
name = other_roles[role_code]["nickname"]
profile = other_roles[role_code]["profile"] if if_profile else ""
relation = self.search_relation(role_code) if if_relation else ""
roles_info_text += f"\n{i+1}. {name}\nrole_code:{role_code}\n{relation}\n{profile}\n\n"
return roles_info_text
def search_relation(self, other_role_code: str):
if self.language == 'en':
if other_role_code in self.relation:
relation_text = ",".join(self.relation[other_role_code]["relation"])
detail_text = self.relation[other_role_code]["detail"]
return f"This is your {relation_text}. {detail_text}\n"
else:
return ""
elif self.language == 'zh':
if other_role_code in self.relation:
relation_text = ",".join(self.relation[other_role_code]["relation"])
detail_text = self.relation[other_role_code]["detail"]
return f"这是你的{relation_text}. {detail_text}\n"
else:
return ""
def set_location(self, location_code, location_name):
self.location_code: Optional[str] = location_code
self.location_name: Optional[str] = location_name
def __getstate__(self):
states = {key: value for key, value in self.__dict__.items() \
if isinstance(value, (str, int, list, dict, bool, type(None))) \
and key not in ['role_info','role_data','llm','embedding','db',"memory"]
and "PROMPT" not in key}
return states
def __setstate__(self, states):
self.__dict__.update(states)
self._init_prompt()
def save_to_file(self, root_dir):
filename = os.path.join(root_dir, f"./roles/{self.role_code}.json")
save_json_file(filename, self.__getstate__() )
def load_from_file(self, root_dir):
filename = os.path.join(root_dir, f"./roles/{self.role_code}.json")
states = load_json_file(filename)
self.__setstate__(states)
self.memory.init_from_data(self.history_manager.get_complete_history())
def build_role_agent_data(role_dir: str):
role_data: List[str] = []
for path in get_child_paths(role_dir):
if os.path.splitext(path)[-1] == ".txt":
text = load_text_file(path)
role_data += split_text_by_max_words(text)
elif os.path.splitext(path)[-1] == ".jsonl":
role_data += [line["text"] for line in load_jsonl_file(path)]
return role_data
if __name__ == "__main__":
agent = RPAgent(role_code='Harry-en')
agent.single_role_interact("Hi,Harry, Who is Ron?")
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