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from typing import Dict, Any |
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from aiflows.utils import logging |
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log = logging.get_logger(__name__) |
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from flow_modules.aiflows.AbstractBossFlowModule import AbstractBossFlow |
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class ExtendLibraryFlow(AbstractBossFlow): |
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"""ExtendLibraryFlow is one branch executor of CoderFlow. At a higher level, it takes the goal |
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from the Coder, writes functions in an interactive way, test the code and append the newly written function to |
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the code library. |
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Workflow of ExtendLibrary: |
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0. Coder calls ExtendLibrary with a goal. |
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1. MemoryReading reads logs, plan, and code library. |
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2. Planner makes a plan based on the goal. |
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3. Write code in an interactive fashion. |
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4. Test code. |
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5. Finish, writes code to the library. |
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Step 3-5 is done via prompting the controller. |
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*Input Interface (expected input)* |
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- `goal` (str): The goal from the caller (source flow, i.e. CoderFlow) |
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*Output Interface (expected output)* |
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- `result` (str): The result of the flow, the result will be returned to the caller (i.e. CoderFlow). |
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- `summary` (str): The summary of the flow, the summary will be logged into the logs of the caller flow (i.e. CoderFlow). |
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""" |
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def run(self, input_data: Dict[str, Any]) -> Dict[str, Any]: |
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self._state_update_dict(update_data=input_data) |
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self._state_update_dict(update_data={"memory_files": self.memory_files}) |
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max_rounds = self.flow_config.get("max_rounds", 1) |
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if max_rounds is None: |
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log.info(f"Running {self.flow_config['name']} without `max_rounds` until the early exit condition is met.") |
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self._sequential_run(max_rounds=max_rounds) |
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output = self._get_output_from_state() |
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self.reset(full_reset=True, recursive=True, src_flow=self) |
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return output |