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| from helpers import persist_chat, tokens | |
| from helpers.extension import Extension | |
| from agent import LoopData | |
| import asyncio | |
| from helpers.log import LogItem | |
| from helpers import log | |
| import math | |
| from extensions.python.before_main_llm_call._10_log_for_stream import build_heading, build_default_heading | |
| class LogFromStream(Extension): | |
| async def execute(self, loop_data: LoopData = LoopData(), text: str = "", **kwargs): | |
| if not self.agent: | |
| return | |
| # thought length indicator | |
| length = f"({len(text)})" if text else "" | |
| pipes = "|" * math.ceil(math.sqrt(len(text))/2) | |
| heading = build_heading(self.agent, f"Reasoning... {pipes}") | |
| step = f"Reasoning... {length}" | |
| # create log message and store it in loop data temporary params | |
| if "log_item_generating" not in loop_data.params_temporary: | |
| loop_data.params_temporary["log_item_generating"] = ( | |
| self.agent.context.log.log( | |
| type="agent", | |
| heading=heading, | |
| step=step | |
| ) | |
| ) | |
| # update log message | |
| log_item = loop_data.params_temporary["log_item_generating"] | |
| log_item.update(heading=heading, reasoning=text, step=step) | |