SOP_Generation-single / template.py
callanwu's picture
add sop_generation
4ecdaad
raw
history blame
2.72 kB
## default { "temperature": 0.3, "model": "gpt-3.5-turbo-16k-0613","log_path": "logs/{your name}"}
LLM = {
"temperature": 0.0,
"model": "gpt-3.5-turbo-16k-0613",
"log_path": "logs/god"
}
Agents = {
"Lilong" : {
"style" : "professional",
"roles" : {
"company" : "coder",
"state2" : "role2",
},
"name2" : {
"style" : "professional",
"roles" : {
"company" : "coder",
"state2" : "role2",
},
}
}
}
# indispensable parameter: "controller_type"("order","random","rule")
# default extract words: "end". You can choose not to fill in this parameter
controller = {
"controller_type": "order",
"max_chat_nums" : 12,
"judge_system_prompt": "",
"judge_last_prompt": "",
"judge_extract_words": "end",
"call_system_prompt" : "",
"call_last_prompt": "",
"call_extract_words": ""
}
#
Agent_state = {
"role": {
"LLM_type": "OpenAI",
"LLM": LLM,
"style": {
"role": "Opening Advocate for the Affirmative",
"style": "professional"
},
"task": {
"task": ""
},
"rule": {
"rule": ""
}
},
}
# indispensable parameter: "agent_states","controller"
# "roles" determines the speaking order when the rule is order. If not set, it is the default order.
# "begin_query" & "begin_role" determines the first speaker.It often determines the direction of the next speech. If you do not set it, it will default to the first agent.
# "environment_prompt" : Responsible for setting the scene for the current environment
State = {
"controller": controller,
"begin_role": "",
"begin_query": "",
"environment_prompt": "",
"roles": ["role1","role2"],
"LLM_type": "OpenAI",
"LLM": LLM,
"agent_state" : Agent_state,
}
States = {
"end_state":{
"agent_states":{}
},
"state1" : State
}
# default finish_state_name is "end_state"
# "environment_type" : "competive" : different states not share the memory; "cooperative":diffrent states share the memory
SOP = {
"config" : {
"API_KEY" : "Your key",
"PROXY" : "Your PROXY",
"MAX_CHAT_HISTORY" : "5",
"User_Names" : "[\"alexander\"]"
},
"environment_type" : "competive",
"LLM_type": "OpenAI",
"LLM" :LLM,
"root": "state1",
"finish_state_name" : "end_state",
"relations": {
"state1": {
"0": "state1",
"1": "state2"
},
"state2":{
"0":"state2",
"1":"end_state"
}
},
"agents": Agents,
"states": States,
}