| 31 | required_fields = ["node_name", "node_description", "begin_role", "controller"] |
| 32 | |
| 33 | class ControllerConfig(Config): |
| 34 | |
| 35 | required_fields = [] |
| 36 | |
| 37 | def __init__(self, config_path_or_dict: Union[str, dict] = None) -> None: |
| 38 | super().__init__(config_path_or_dict) |
| 39 | self._validate_config() |
| 40 | |
| 41 | self.max_chat_nums = self.config_dict.get("max_chat_nums", 10) |
| 42 | |
| 43 | self.transit_type = self.config_dict.get("transit_type", "llm") |
| 44 | self.transit_system_prompt = self.config_dict.get("transit_system_prompt") |
| 45 | self.transit_last_prompt = self.config_dict.get("transit_last_prompt") |
| 46 | self.transit_extract_word = self.config_dict.get( |
| 47 | "transit_extract_word", "node" |
| 48 | ) |
| 49 | |
| 50 | self.route_type = self.config_dict.get("route_type", "order") |
| 51 | self.route_system_prompt = self.config_dict.get("route_system_prompt") |
| 52 | self.route_last_prompt = self.config_dict.get("route_last_prompt") |
| 53 | self.route_extract_word = self.config_dict.get("route_extract_word", "role") |
| 54 | |
| 55 | @classmethod |
| 56 | def generate_config( |
| 57 | cls, |
| 58 | task_description: str, |
| 59 | node_name: str, |
| 60 | node_description: str, |
| 61 | next_nodes: List[str], |
| 62 | node_roles_description: Dict[str, str], |
| 63 | ): |
| 64 | max_chat_nums = 10 |
| 65 | |
| 66 | llm_config = { |
| 67 | "LLM_type": "OpenAI", |
| 68 | "model": "gpt-4-turbo-2024-04-09", |
| 69 | "temperature": 0.3, |
| 70 | "log_path": "logs/generate_config/node/controller/transit", |
| 71 | "ACTIVE_MODE": True, |
| 72 | "SAVE_LOGS": True, |
| 73 | } |
| 74 | llm = OpenAILLM(LLMConfig(llm_config)) |
| 75 | system_prompt = "You are a helpful assistant." |
| 76 | last_prompt = TRANSIT_CONTROLLER_CONFIG_GENERATION_PROMPT_TEMPLATE.format( |
| 77 | task_description=task_description, |
| 78 | node_description=node_description, |
| 79 | node_roles_description=node_roles_description, |
| 80 | ) |
| 81 | |
| 82 | response, content = llm.get_response( |
| 83 | chat_messages=None, |
| 84 | system_prompt=system_prompt, |
| 85 | last_prompt=last_prompt, |
| 86 | ) |
| 87 | |
| 88 | transit_type = "llm" |
| 89 | transit_system_prompt = ( |
| 90 | content |
nothing calls this directly
no outgoing calls
no test coverage detected