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Download agents/chat_agent.py from Smnbrzq/Autonomous-coding-system: direct link, hf CLI and curl.
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https://huggingface.co/spaces/Smnbrzq/Autonomous-coding-system/resolve/main/agents/chat_agent.py
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hf download hf://spaces/Smnbrzq/Autonomous-coding-system/agents/chat_agent.py
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curl -L -o chat_agent.py https://huggingface.co/spaces/Smnbrzq/Autonomous-coding-system/resolve/main/agents/chat_agent.py
1.5 kB
| """ | |
| ChatAgent β Conversational interface with streaming, Burmese support | |
| """ | |
| from typing import Dict | |
| import structlog | |
| from .base_agent import BaseAgent | |
| log = structlog.get_logger() | |
| CHAT_SYSTEM = """You are God Agent β an elite autonomous AI operating system. | |
| You support both English and Burmese (ααΌααΊαα¬αα¬αα¬) languages. | |
| Be helpful, precise, and autonomous. | |
| When users write in Burmese, respond in Burmese. | |
| When discussing code, provide production-quality examples. | |
| """ | |
| class ChatAgent(BaseAgent): | |
| def __init__(self, ws_manager=None, ai_router=None): | |
| super().__init__("ChatAgent", ws_manager, ai_router) | |
| async def run(self, task: str, context: Dict = {}, **kwargs) -> str: | |
| session_id = kwargs.get("session_id", "") | |
| task_id = kwargs.get("task_id", "") | |
| history = context.get("history", []) | |
| messages = [{"role": "system", "content": CHAT_SYSTEM}] | |
| for h in history[-10:]: | |
| messages.append({"role": h.get("role", "user"), "content": h.get("content", "")}) | |
| messages.append({"role": "user", "content": task}) | |
| await self.emit_chat(session_id, "stream_start", {"agent": "ChatAgent", "status": "generating"}) | |
| response = await self.llm(messages, task_id=task_id, session_id=session_id) | |
| await self.emit_chat(session_id, "stream_end", { | |
| "agent": "ChatAgent", | |
| "full_response": response, | |
| "status": "complete", | |
| }) | |
| return response | |