#iRdZddlmZddlmZddlmZmZerddlm Z dd Z ddZ dS)zStateless Agent executor.) annotations) TYPE_CHECKING) AgentConfigScratchpadEntry) LLMCliententrieslist[ScratchpadEntry]returnstrc|sdSg}|D]'}|d|jd|j(d|S)aFormat scratchpad entries into a readable summary. Args: entries: List of ScratchpadEntry objects from the shared whiteboard. Returns: A newline-joined string of "[agent_name]: content" lines, or "No discussion yet." when the list is empty. zNo discussion yet.[z]:  )append agent_namecontentjoin)rlinesentrys 0/root/projects/multi-agents-meeting/src/agent.pyformat_scratchpad_summaryr sc $##E?? =)==em==>>>> 99U  configrpromptscratchpad_summaryclientrcRd|d|}||jd|dgS)aExecute a single Agent turn. The Agent sees its own system_prompt, a summary of the current whiteboard, and the specific prompt from PM. Args: config: AgentConfig holding the agent's name, role, and system_prompt. prompt: The specific question or task sent by the PM router. scratchpad_summary: Pre-formatted string of the shared whiteboard state. client: Any object satisfying the LLMClient Protocol. Returns: The agent's text response from the LLM. z## Current Meeting Whiteboard z ## Your Task user)roler)systemmessages)chat system_prompt)rrrr user_contents r run_agentr$sW* $,> $ $! $ $ ;;#!l;;<   rN)rr r r ) rrrr rr rrr r ) __doc__ __future__rtypingr src.modelsrrsrc.llm_clientrrr$rrr+s"""""" 33333333)(((((($r