| | from typing import Dict, Any |
| | from aiflows.utils import logging |
| | log = logging.get_logger(__name__) |
| |
|
| | from flow_modules.Tachi67.AbstractBossFlowModule import AbstractBossFlow |
| | class ExtendLibraryFlow(AbstractBossFlow): |
| | """ExtendLibraryFlow is one branch executor of CoderFlow. At a higher level, it takes the goal |
| | from the Coder, writes functions in an interactive way, test the code and append the newly written function to |
| | the code library. |
| | |
| | *Input Interface (expected input)* |
| | - `goal` (str): The goal from the caller (source flow, i.e. CoderFlow) |
| | *Output Interface (expected output)* |
| | - `result` (str): The result of the flow, the result will be returned to the caller (i.e. CoderFlow). |
| | - `summary` (str): The summary of the flow, the summary will be logged into the logs of the caller flow (i.e. CoderFlow). |
| | """ |
| | def run(self, input_data: Dict[str, Any]) -> Dict[str, Any]: |
| | |
| | self._state_update_dict(update_data=input_data) |
| |
|
| | |
| | self._state_update_dict(update_data={"memory_files": self.memory_files}) |
| |
|
| | max_rounds = self.flow_config.get("max_rounds", 1) |
| | if max_rounds is None: |
| | log.info(f"Running {self.flow_config['name']} without `max_rounds` until the early exit condition is met.") |
| |
|
| | self._sequential_run(max_rounds=max_rounds) |
| |
|
| | output = self._get_output_from_state() |
| |
|
| | self.reset(full_reset=True, recursive=True, src_flow=self) |
| |
|
| | return output |