From f912c98e165c3f964a59a0d26d6bcba94d687c7d Mon Sep 17 00:00:00 2001 From: Yutang Li Date: Sun, 16 Feb 2025 16:49:36 +0800 Subject: [PATCH] =?UTF-8?q?=E5=BD=93=E5=89=8D=E7=89=88=E6=9C=AC?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- _backend/api.py | 352 +++++++++++++++--- _backend/constant.py | 4 +- .../team_history.json | 1 + .../team_history.json | 1 + .../team_history.json | 1 + .../team_history.json | 1 + _backend/rtsp2webrtc/config.json | 41 ++ 7 files changed, 347 insertions(+), 54 deletions(-) create mode 100644 _backend/history/189ef453-1381-4737-b312-4f59892ffabf/team_history.json create mode 100644 _backend/history/23f8afc8-f7eb-4688-ad59-18542ec569b2/team_history.json create mode 100644 _backend/history/24ce0ae6-d4c5-4c29-954e-0bfe27d21e60/team_history.json create mode 100644 _backend/history/a55516a1-920e-49c2-a851-286d062182b6/team_history.json create mode 100644 _backend/rtsp2webrtc/config.json diff --git a/_backend/api.py b/_backend/api.py index 2257b94..6ed987d 100644 --- a/_backend/api.py +++ b/_backend/api.py @@ -2,19 +2,35 @@ import json import logging import os from typing import Any, Awaitable, Callable, Optional, Sequence - +import uuid import aiofiles import yaml +import cv2 +import base64 +import asyncio +import numpy as np +import time +import subprocess +import ffmpeg +import io +from PIL import Image +from collections import deque + +from fastapi import FastAPI, HTTPException, WebSocket, WebSocketDisconnect +from fastapi.middleware.cors import CORSMiddleware +from fastapi.responses import FileResponse +from fastapi.staticfiles import StaticFiles +from fastapi.responses import HTMLResponse +from aiortc import RTCPeerConnection, RTCSessionDescription, VideoStreamTrack +from aiortc.contrib.media import MediaRelay +from aiortc.contrib.media import MediaPlayer + from autogen_agentchat.agents import AssistantAgent, UserProxyAgent from autogen_agentchat.base import TaskResult from autogen_agentchat.messages import TextMessage, UserInputRequestedEvent from autogen_agentchat.teams import RoundRobinGroupChat from autogen_core import CancellationToken from autogen_core.models import ChatCompletionClient -from fastapi import FastAPI, HTTPException, WebSocket, WebSocketDisconnect -from fastapi.middleware.cors import CORSMiddleware -from fastapi.responses import FileResponse -from fastapi.staticfiles import StaticFiles from autogen_ext.models.openai import OpenAIChatCompletionClient from autogen_agentchat.conditions import MaxMessageTermination, TextMentionTermination from autogen_agentchat.teams import SelectorGroupChat, RoundRobinGroupChat @@ -27,8 +43,27 @@ from analyst_team import create_analyst_team from utils import load_agent_configs +logger = logging.getLogger(__name__) + + +relay = MediaRelay() + +model_client = OpenAIChatCompletionClient( + model=MODEL, + base_url=OPENAI_BASE_URL, + api_key=OPENAI_API_KEY, + model_info={ + "vision": True, + "function_calling": True, + "json_output": True, + "family": "unknown", + }, +) + + async def get_team( user_input_func: Callable[[str, Optional[CancellationToken]], Awaitable[str]], + session_dir: str ) -> RoundRobinGroupChat | SelectorGroupChat: # Create the team. @@ -71,6 +106,7 @@ async def get_team( selector_func=selector_func, ) # Load state from file. + state_path = os.path.join(session_dir, "team_state.json") if not os.path.exists(state_path): return team async with aiofiles.open(state_path, "r") as file: @@ -79,7 +115,6 @@ async def get_team( return team -logger = logging.getLogger(__name__) app = FastAPI() current_task = None # 用于跟踪当前任务 @@ -92,48 +127,58 @@ app.add_middleware( allow_headers=["*"], # Allows all headers ) -model_config_path = "model_config.yaml" -state_path = "team_state.json" -history_path = "team_history.json" +# model_config_path = "model_config.yaml" +# state_path = "team_state.json" +# history_path = "team_history.json" # Serve static files app.mount("/static", StaticFiles(directory="."), name="static") -@app.get("/") -async def root(): - """Serve the chat interface HTML file.""" - return FileResponse("app_team.html") - - -model_client = OpenAIChatCompletionClient( - model=MODEL, - base_url=OPENAI_BASE_URL, - api_key=OPENAI_API_KEY, - model_info={ - "vision": True, - "function_calling": True, - "json_output": True, - "family": "unknown", - }, -) - - -async def get_history() -> list[dict[str, Any]]: - """Get chat history from file.""" - if not os.path.exists(history_path): +async def get_session_history(session_dir: str) -> list[dict[str, Any]]: + """Get chat history from file using UUID.""" + session_history_path = os.path.join(session_dir, "team_history.json") + if not os.path.exists(session_history_path): return [] - async with aiofiles.open(history_path, "r") as file: - return json.loads(await file.read()) + async with aiofiles.open(session_history_path, "r") as file: + content = await file.read() + if content: + return json.loads(content) + else: + return [] -@app.get("/history") -async def history() -> list[dict[str, Any]]: +@app.websocket("/history/{session_uuid}") +async def history(websocket: WebSocket) -> list[dict[str, Any]]: + await websocket.accept() + data = await websocket.receive_json() + session_uuid = data["uuid"] try: - return await get_history() + session_history = await get_session_history(session_uuid) + await websocket.send_json(session_history) except Exception as e: raise HTTPException(status_code=500, detail=str(e)) from e +@app.websocket("/sessions") +async def sessions(websocket: WebSocket) -> list[dict[str, str]]: + """Get all history UUIDs and their main content.""" + await websocket.accept() + cur_path = os.path.dirname(os.path.abspath(__file__)) + history_dir = os.path.join(cur_path, "history") + session_data = [] + for dir_name in os.listdir(history_dir): + session_dir = os.path.join(history_dir, dir_name) + if os.path.isdir(session_dir): # Check if it's a directory + try: + history = await get_session_history(session_dir) + main_content = history[0]["content"] if history and "content" in history[0] else "" + session_data.append({"uuid": dir_name, "content": main_content}) + + except Exception as e: + print(f"Error reading history for {dir_name}: {e}") # Log the error but continue + + await websocket.send_json(session_data) + @app.websocket("/ws/chat") async def chat(websocket: WebSocket): @@ -142,22 +187,35 @@ async def chat(websocket: WebSocket): # User input function used by the team. async def _user_input(prompt: str, cancellation_token: CancellationToken | None) -> str: data = await websocket.receive_json() - # message = TextMessage.model_validate(data) - # return message.content return data['content'] try: while True: # Get user message. data = await websocket.receive_json() - # request = TextMessage.model_validate(data) - request = data['content'] + + if 'session_uuid' not in data: + # New session + request = TextMessage.model_validate(data) + # request = data['content'] + session_uuid = str(uuid.uuid4()) # Initialize a unique UUID for each session + cur_path = os.path.dirname(os.path.abspath(__file__)) + session_dir = os.path.join(cur_path, "history", session_uuid) # Directory for session states + os.makedirs(session_dir, exist_ok=True) # ensure the directory is created. + history = [] + else: + session_uuid = data['session_uuid'] + cur_path = os.path.dirname(os.path.abspath(__file__)) + session_dir = os.path.join(cur_path, "history", session_uuid) # Directory for session states + history = await get_session_history(session_dir) + new_data = {k: v for k, v in data.items() if k != "session_uuid"} + request = TextMessage.model_validate(new_data) + request = history + request try: # Get the team and respond to the message. - team = await get_team(_user_input) - history = await get_history() - + team = await get_team(_user_input, session_dir) + stream = team.run_stream(task=request) async for message in stream: if isinstance(message, TaskResult): @@ -165,17 +223,18 @@ async def chat(websocket: WebSocket): print(f"----------------{message.source}----------------\n {message.content}") await websocket.send_json(message.model_dump()) if not isinstance(message, UserInputRequestedEvent): - # Don't save user input events to history. history.append(message.model_dump()) - # Save team state to file. - async with aiofiles.open(state_path, "w") as file: - state = await team.save_state() - await file.write(json.dumps(state)) - - # Save chat history to file. - async with aiofiles.open(history_path, "w") as file: - await file.write(json.dumps(history)) + # Save chat history to file. + session_history_path = os.path.join(session_dir, "team_history.json") + async with aiofiles.open(session_history_path, "w") as file: + await file.write(json.dumps(history)) + + # # Save team state to file. + # session_state_path = os.path.join(session_dir, "team_state.json") + # async with aiofiles.open(session_state_path, "w") as file: + # state = await team.save_state() + # await file.write(json.dumps(state)) except Exception as e: # Send error message to client @@ -206,6 +265,195 @@ async def chat(websocket: WebSocket): pass + +# 设置缓冲区大小 +BUFFER_SIZE = 10 +frame_buffer = deque(maxlen=BUFFER_SIZE) +RTSP_STREAMS = { + "camera1": "rtsp://admin:@192.168.1.13:554/live", + "camera2": "rtsp://admin:@192.168.1.10:554/live", +} + +# @app.websocket("/video_stream/{camera_id}") +# async def websocket_endpoint(websocket: WebSocket, camera_id: str): +# await websocket.accept() +# cap = cv2.VideoCapture(RTSP_STREAMS[camera_id]) +# fps = 15 +# cap.set(cv2.CAP_PROP_FPS, 15) +# frame_interval = 1 / fps if fps > 0 else 0.1 # 计算帧间隔时间 + +# async def capture_frames(): +# while True: +# ret, frame = cap.read() +# if not ret: +# break +# _, buffer = cv2.imencode('.jpg', frame) +# jpeg_frame = base64.b64encode(buffer).decode('utf-8') +# frame_buffer.append(jpeg_frame) +# await asyncio.sleep(frame_interval) + +# async def send_frames(): +# while True: +# if frame_buffer: +# frame = frame_buffer.popleft() +# await websocket.send_text(frame) +# await asyncio.sleep(frame_interval) + +# # 启动帧捕获和发送任务 +# capture_task = asyncio.create_task(capture_frames()) +# send_task = asyncio.create_task(send_frames()) + +# try: +# await asyncio.gather(capture_task, send_task) +# except asyncio.CancelledError: +# pass +# finally: +# cap.release() + +frame_buffer = deque() + +@app.websocket("/video_stream/{camera_id}") +async def websocket_endpoint(websocket: WebSocket, camera_id: str): + await websocket.accept() + + rtsp_url = RTSP_STREAMS.get(camera_id) + if not rtsp_url: + await websocket.close(code=4001) + return + + fps = 15 + frame_interval = 1 / fps + frame_buffer = deque() # 每个连接独立的队列 + + # 启动FFmpeg进程 + process = ( + ffmpeg + .input(rtsp_url, rtsp_transport='tcp') + .output('pipe:', format='image2pipe', vcodec='mjpeg', r=fps) + .run_async(pipe_stdout=True, pipe_stderr=True, quiet=True) + ) + + async def capture_frames(): + """读取并分割完整的JPEG帧""" + buffer = b'' + loop = asyncio.get_event_loop() + while True: + # 异步读取防止阻塞 + data = await loop.run_in_executor(None, process.stdout.read, 4096) + if not data: + break + buffer += data + # 提取完整帧 + while True: + start = buffer.find(b'\xff\xd8') # JPEG开始标记 + if start == -1: + break + end = buffer.find(b'\xff\xd9', start + 2) # JPEG结束标记 + if end == -1: + break + # 提取帧数据并编码 + frame_data = buffer[start:end+2] + frame = base64.b64encode(frame_data).decode('utf-8') + frame_buffer.append(frame) + buffer = buffer[end+2:] # 移除已处理数据 + + # 清理FFmpeg进程 + process.kill() + + async def send_frames(): + """发送帧到客户端""" + while True: + if frame_buffer: + frame = frame_buffer.popleft() + await websocket.send_text(frame) + await asyncio.sleep(frame_interval) + + # 启动任务并处理退出 + capture_task = asyncio.create_task(capture_frames()) + send_task = asyncio.create_task(send_frames()) + try: + await asyncio.gather(capture_task, send_task) + except asyncio.CancelledError: + capture_task.cancel() + send_task.cancel() + await asyncio.gather(capture_task, send_task, return_exceptions=True) + finally: + process.kill() + await websocket.close() + + +@app.get("/") +async def debug_page(): + return HTMLResponse(""" + + + + + + RTSP Stream + + + + + + + + + + + + + + +""") + # Example usage if __name__ == "__main__": import uvicorn diff --git a/_backend/constant.py b/_backend/constant.py index 0ecec88..d0d8215 100755 --- a/_backend/constant.py +++ b/_backend/constant.py @@ -5,8 +5,8 @@ from autogen_ext.code_executors.docker import DockerCommandLineCodeExecutor # Define your API keys and configurations OPENAI_API_KEY = "sk-4aJj5ygdQ9rw6lS6920712Ef9bB848439522E72318439eCd" -# OPENAI_BASE_URL = "http://47.239.94.171:17935/v1" -OPENAI_BASE_URL = "https://vip.apiyi.com/v1" +OPENAI_BASE_URL = "http://154.44.26.195:17935/v1" +# OPENAI_BASE_URL = "https://vip.apiyi.com/v1" # MODEL = "chatgpt-4o-latest" MODEL = "gpt-4o-2024-11-20" diff --git a/_backend/history/189ef453-1381-4737-b312-4f59892ffabf/team_history.json b/_backend/history/189ef453-1381-4737-b312-4f59892ffabf/team_history.json new file mode 100644 index 0000000..d30db3e --- /dev/null +++ b/_backend/history/189ef453-1381-4737-b312-4f59892ffabf/team_history.json @@ -0,0 +1 @@ +[{"source": "user", "models_usage": null, "content": "Let the robot synthesize CsPbBr3 nanocubes at room temperature", "type": "TextMessage"}, {"source": "PlanningAgent", "models_usage": {"prompt_tokens": 891, "completion_tokens": 197}, "content": "In order to synthesize CsPbBr3 nanocubes at room temperature, several sub-tasks must be completed. The process will involve defining the synthesis protocol, converting it to JSON format, ensuring related synthesis structures and parameters are validated, designing the experimental workflow, executing it using robotic platforms, and analyzing the data obtained. Below is the task allocation and breakdown for each sub-team.\n\n---\n\n### Step 1: Define the synthesis protocol\n| Team_name | Member_name | sub-task |\n| ----------- | ------------------ | ---------------------------------------------------------- |\n| Scientist | Synthesis Scientist| **Define the synthesis protocol for CsPbBr3 nanocubes** |\n\n---\n\n```mermaid\ngraph TD\nUser[User] \nsubgraph Scientist\n A1[Synthesis Scientist]\nend\nUser --> A1\n```\n\n---\n\n**Next sub-task:** \n1. Scientist : Define synthesis protocol for CsPbBr3 nanocubes at room temperature \nHUMAN", "type": "TextMessage"}, {"source": "user", "models_usage": null, "content": "OK", "type": "TextMessage"}, {"source": "PlanningAgent", "models_usage": {"prompt_tokens": 1101, "completion_tokens": 162}, "content": "**\u5df2\u5b8c\u6210\u5b50\u4efb\u52a1\uff1a** \n1. User: Approved to proceed with defining the synthesis protocol for CsPbBr3 nanocubes.\n\n---\n\n### Step 2: Define the synthesis protocol for CsPbBr3 nanocubes\n| Team_name | Member_name | sub-task |\n| ----------- | ------------------ | ---------------------------------------------------------- |\n| Scientist | Synthesis Scientist| Create a detailed protocol for synthesizing CsPbBr3 nanocubes at room temperature |\n\n```mermaid\ngraph TD\nUser[User] \nsubgraph Scientist\n A1[Synthesis Scientist]\nend\nUser --> A1\n```\n\n---\n\n**Next sub-task:** \n2. Scientist (Synthesis Scientist): Provide a detailed synthetic protocol for CsPbBr3 nanocubes. \nHUMAN", "type": "TextMessage"}, {"source": "user", "models_usage": null, "content": "OK", "type": "TextMessage"}, {"source": "PlanningAgent", "models_usage": {"prompt_tokens": 1276, "completion_tokens": 160}, "content": "**\u5df2\u5b8c\u6210\u5b50\u4efb\u52a1\uff1a** \n2. User: Approved to proceed with generating the synthetic protocol.\n\n---\n\n### Step 3: Receive and validate the synthesis protocol for CsPbBr3 nanocubes\n| Team_name | Member_name | sub-task |\n| ----------- | ------------------ | ---------------------------------------------------------- |\n| Scientist | Synthesis Scientist| **Provide the detailed protocol for synthesizing CsPbBr3 nanocubes** |\n\n```mermaid\ngraph TD\nUser[User] \nsubgraph Scientist\n A1[Synthesis Scientist]\nend\nUser --> A1\n```\n\n---\n\n**Next sub-task:** \n3. Scientist (Synthesis Scientist): Deliver the step-by-step process and requirements for synthesizing CsPbBr3 nanocubes. \nHUMAN", "type": "TextMessage"}, {"source": "user", "models_usage": null, "content": "OK", "type": "TextMessage"}, {"source": "PlanningAgent", "models_usage": {"prompt_tokens": 1449, "completion_tokens": 165}, "content": "**\u5df2\u5b8c\u6210\u5b50\u4efb\u52a1\uff1a** \n3. User: Approved to proceed with the delivery of the synthesis protocol.\n\n---\n\n### Step 4: Convert the synthesis protocol into JSON format\n| Team_name | Member_name | sub-task |\n| ----------- | -------------------- | --------------------------------------------------- |\n| Engineer | Structural engineer | Convert the detailed synthesis protocol into JSON format for robotic execution |\n\n```mermaid\ngraph TD\nUser[User] \nsubgraph Scientist\n A1[Synthesis Scientist]-- Completed -->B1[Provide Synthesis Protocol]\nend\nsubgraph Engineer\n C1[Structural engineer]\nend\nUser --> B1 --> C1\n```\n\n---\n\n**Next sub-task:** \n4. Engineer (Structural engineer): Convert the synthesis protocol into JSON format. \nHUMAN", "type": "TextMessage"}, {"source": "user", "models_usage": null, "content": "OK", "type": "TextMessage"}, {"source": "PlanningAgent", "models_usage": {"prompt_tokens": 1627, "completion_tokens": 172}, "content": "**\u5df2\u5b8c\u6210\u5b50\u4efb\u52a1\uff1a** \n4. User: Approved to proceed with converting the synthesis protocol into JSON format.\n\n---\n\n### Step 5: Trigger conversion to JSON format for CsPbBr3 synthesis\n| Team_name | Member_name | sub-task |\n| ----------- | -------------------- | --------------------------------------------------- |\n| Engineer | Structural engineer | **Create a JSON file from the synthesis protocol and store it for robotic execution** |\n\n```mermaid\ngraph TD\nUser[User] \nsubgraph Scientist\n A1[Synthesis Scientist]-- Completed -->B1[Provide Synthesis Protocol]\nend\nsubgraph Engineer\n C1[Structural engineer]\nend\nUser --> B1 --> C1\n```\n\n---\n\n**Next sub-task:** \n5. Engineer (Structural engineer): Deliver the JSON file. \nHUMAN", "type": "TextMessage"}, {"source": "user", "models_usage": null, "content": "START", "type": "TextMessage"}, {"source": "PlanningAgent", "models_usage": {"prompt_tokens": 1812, "completion_tokens": 219}, "content": "**\u5df2\u5b8c\u6210\u5b50\u4efb\u52a1\uff1a** \n5. START: Initiated JSON conversion task with the Structural engineer.\n\n---\n\n### Step 6: Define Robotic Synthesis Execution Steps\n| Team_name | Member_name | sub-task |\n| ----------- | ------------------------ | -------------------------------------------------- |\n| Executor | MobileRobot_Agent | Prepare the mobile robot to handle the synthesis |\n| Executor | RobotWorkstation_Agent | Perform precise synthesis operations post-transfer|\n\n```mermaid\ngraph TD\nUser[User] \nsubgraph Scientist\n A1[Synthesis Scientist]-- Completed -->B1[Provide Synthesis Protocol]\nend\nsubgraph Engineer\n C1[Structural engineer]-- Completed -->D1[Convert to JSON]\nend\nsubgraph Executor\n E1[MobileRobot_Agent] --> E2[RobotWorkstation_Agent]\nend\nUser --> B1 --> C1 --> E1\n```\n\n---\n\n**Next sub-task:** \n6. Executor (MobileRobot_Agent): Prepare and initiate robotic synthesis execution steps. ", "type": "TextMessage"}, {"source": "Robot_PlanningAgent", "models_usage": {"prompt_tokens": 1450, "completion_tokens": 14}, "content": [{"id": "call_Cntq3ZZwS9PYL1Yk4qwx4KUx", "arguments": "{}", "name": "transfer_to_robotworkstation_agent"}], "type": "ToolCallRequestEvent"}, {"source": "Robot_PlanningAgent", "models_usage": null, "content": [{"content": "Transferred to RobotWorkstation_Agent, adopting the role of RobotWorkstation_Agent immediately.", "call_id": "call_Cntq3ZZwS9PYL1Yk4qwx4KUx"}], "type": "ToolCallExecutionEvent"}, {"source": "Robot_PlanningAgent", "models_usage": null, "target": "RobotWorkstation_Agent", "content": "Transferred to RobotWorkstation_Agent, adopting the role of RobotWorkstation_Agent immediately.", "context": [], "type": "HandoffMessage"}, {"source": "RobotWorkstation_Agent", "models_usage": {"prompt_tokens": 1333, "completion_tokens": 21}, "content": "Please provide the scheme URL and Task ID so that I can send the synthesis scheme for robot execution.", "type": "TextMessage"}, {"source": "RobotWorkstation_Agent", "models_usage": {"prompt_tokens": 1363, "completion_tokens": 12}, "content": [{"id": "call_vWUvmli9Iirj9O9lvOFNpvtK", "arguments": "{}", "name": "transfer_to_user_agent"}], "type": "ToolCallRequestEvent"}, {"source": "RobotWorkstation_Agent", "models_usage": null, "content": [{"content": "Transferred to user_agent, adopting the role of user_agent immediately.", "call_id": "call_vWUvmli9Iirj9O9lvOFNpvtK"}], "type": "ToolCallExecutionEvent"}, {"source": "RobotWorkstation_Agent", "models_usage": null, "target": "user_agent", "content": "Transferred to user_agent, adopting the role of user_agent immediately.", "context": [], "type": "HandoffMessage"}] \ No newline at end of file diff --git a/_backend/history/23f8afc8-f7eb-4688-ad59-18542ec569b2/team_history.json b/_backend/history/23f8afc8-f7eb-4688-ad59-18542ec569b2/team_history.json new file mode 100644 index 0000000..2f82040 --- /dev/null +++ b/_backend/history/23f8afc8-f7eb-4688-ad59-18542ec569b2/team_history.json @@ -0,0 +1 @@ +[{"source": "user", "models_usage": null, "content": "Let the robot synthesize CsPbBr3 nanocubes at room temperature", "type": "TextMessage"}] \ No newline at end of file diff --git a/_backend/history/24ce0ae6-d4c5-4c29-954e-0bfe27d21e60/team_history.json b/_backend/history/24ce0ae6-d4c5-4c29-954e-0bfe27d21e60/team_history.json new file mode 100644 index 0000000..2f82040 --- /dev/null +++ b/_backend/history/24ce0ae6-d4c5-4c29-954e-0bfe27d21e60/team_history.json @@ -0,0 +1 @@ +[{"source": "user", "models_usage": null, "content": "Let the robot synthesize CsPbBr3 nanocubes at room temperature", "type": "TextMessage"}] \ No newline at end of file diff --git a/_backend/history/a55516a1-920e-49c2-a851-286d062182b6/team_history.json b/_backend/history/a55516a1-920e-49c2-a851-286d062182b6/team_history.json new file mode 100644 index 0000000..411e4be --- /dev/null +++ b/_backend/history/a55516a1-920e-49c2-a851-286d062182b6/team_history.json @@ -0,0 +1 @@ +[{"source": "user", "models_usage": null, "content": "Let the robot synthesize CsPbBr3 nanocubes at room temperature", "type": "TextMessage"}, {"source": "PlanningAgent", "models_usage": {"prompt_tokens": 891, "completion_tokens": 181}, "content": "**Task Plans for Synthesizing CsPbBr3 Nanocubes at Room Temperature:**\n\nTo synthesize CsPbBr3 nanocubes, the task will proceed through synthesis planning, structure conversion, robotic execution, and data collection and analysis. Tasks are broken down and assigned as follows:\n\n---\n\n### **Task Assignment Table:**\n| Team_name | Member_name | Sub-task |\n| ----------- | ------------------- | ----------------------------------------------------------------------- |\n| Scientist | Synthesis Scientist | Propose a synthesis scheme for CsPbBr3 nanocubes at room temperature. |\n\n```mermaid\ngraph TD\nUser[User]\n subgraph Scientist\n A1[Synthesis Scientist]\n end\nUser --> A1\n```\n\n---\n\n**Next sub-task:** 1. Scientist : Propose a synthesis scheme for CsPbBr3 nanocubes at room temperature.\n\nHUMAN", "type": "TextMessage"}, {"source": "user", "models_usage": null, "content": "OK", "type": "TextMessage"}, {"source": "PlanningAgent", "models_usage": {"prompt_tokens": 1085, "completion_tokens": 123}, "content": "**\u5df2\u5b8c\u6210\u5b50\u4efb\u52a1\uff1a**\n1. User : Confirmed the task of synthesizing CsPbBr3 nanocubes\n\n---\n\n**Now proceeding with next sub-task:**\n\n---\n\n### **Task Assignment Table:**\n| Team_name | Member_name | Sub-task |\n| ----------- | ------------------- | ------------------------------------------------------------------------- |\n| Scientist | Synthesis Scientist | Propose a synthesis scheme for CsPbBr3 nanocubes at room temperature. |\n\n**Next sub-task:** 1. Scientist : Propose a synthesis scheme for CsPbBr3 nanocubes at room temperature.\n\n---\n\nSTART", "type": "TextMessage"}, {"source": "Scientist_PlanningAgent", "models_usage": {"prompt_tokens": 730, "completion_tokens": 16}, "content": [{"id": "call_FAKFoZPGj2BfGmzDZbynR1Up", "arguments": "{}", "name": "transfer_to_scientist_synthesisagent"}], "type": "ToolCallRequestEvent"}, {"source": "Scientist_PlanningAgent", "models_usage": null, "content": [{"content": "Transferred to Scientist_SynthesisAgent, adopting the role of Scientist_SynthesisAgent immediately.", "call_id": "call_FAKFoZPGj2BfGmzDZbynR1Up"}], "type": "ToolCallExecutionEvent"}, {"source": "Scientist_PlanningAgent", "models_usage": null, "target": "Scientist_SynthesisAgent", "content": "Transferred to Scientist_SynthesisAgent, adopting the role of Scientist_SynthesisAgent immediately.", "context": [], "type": "HandoffMessage"}, {"source": "Scientist_SynthesisAgent", "models_usage": {"prompt_tokens": 1530, "completion_tokens": 37}, "content": [{"id": "call_QvD9lp53ZRUZH95MopgzbWVz", "arguments": "{\"query\":\"room temperature synthesis of CsPbBr3 nanocubes\",\"topk\":3}", "name": "hybird_retrieval_from_knowledge_base"}], "type": "ToolCallRequestEvent"}, {"source": "Scientist_SynthesisAgent", "models_usage": null, "content": [{"content": "[{'id': None, 'title': 'Room temperature synthesis of stable silica-coated CsPbBr3 quantum dots for amplified spontaneous emission.md', 'content': '\\n\\nRoom temperature synthesis of stable silica-coated CsPbBr3 quantum dots for amplified spontaneous emission\\nQIONGHUA MO,1,\u2020 TONGCHAO SHI,2,\u2020 WENSI CAI,1 SHUANGYI ZHAO,1,\\\\* $\\\\circledcirc$ DONGDONG YAN,1 \\nJUAN DU,2,3,4 $\\\\circledcirc$ AND ZHIGANG ZANG1,5 $\\\\circledcirc$ \\n\\n1Key Laboratory of Optoelectronic Technology & Systems (Ministry of Education), Chongqing University, Chongqing 400044, China \\n2State Key Laboratory of High Field Laser Physics, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, \\nShanghai 201800, China \\n3Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China \\n$^4\\\\!e$ -mail: dujuan@mail.siom.ac.cn \\n$^{5}\\\\!e$ -mail: zangzg@cqu.edu.cn \\n\\\\*Corresponding author: shyzhao@cqu.edu.cn \\n\\nReceived 10 June 2020; accepted 3 August 2020; posted 10 August 2020 (Doc. ID 399845); published 22 September 2020 \\n\\nAll-inorganic cesium lead bromide $({\\\\bf C}{\\\\bf s}{\\\\bf P}{\\\\bf b}{\\\\bf B}{\\\\bf r}_{3})$ ) perovskite quantum dots (QDs) with excellent optical properties have been regarded as good gain materials for amplified spontaneous emission (ASE). However, the poor stability as the results of the high sensitivity to heat and moisture limits their further applications. Here, we report a facile one-pot approach to synthesize $\\\\mathbf{CsPbBr}_{3}@\\\\mathbf{SiO}_{2}$ QDs at room temperature. Due to the effective defects passivation using $\\\\mathbf{sio}_{2}$ , as-prepared $\\\\mathbf{CsPbBr}_{3}@\\\\mathbf{SiO}_{2}$ QDs present an enhanced photoluminescence quantum yield (PLQY) and chemical stability. The PLQY of $\\\\mathbf{CsPbBr}_{3}@\\\\mathbf{SiO}_{2}$ QDs reaches $71.6\\\\%$ which is higher than $46\\\\%$ in pure $\\\\mathbf{CsPbBr}_{3}$ QDs. The PL intensity of $\\\\mathbf{CsPbBr}_{3}@\\\\mathbf{SiO}_{2}$ QDs maintains $\\\\mathbf{84\\\\%}$ while remaining $\\\\pm{24\\\\%}$ in pure $\\\\mathbf{CsPbBr}_{3}$ after ${\\\\bf80\\\\ m i n}$ heating at $60^{\\\\circ}\\\\mathbf{C}$ . The ASE performance of the films is also studied under a two-photonpumped laser. Compared with the films using pure $\\\\mathbf{CsPbBr}_{3}$ QDs, those with as-prepared $\\\\mathbf{CsPbBr}_{3}@\\\\mathbf{SiO}_{2}$ QDs exhibit a reduced threshold of ASE. The work suggests that room-temperature-synthesized $\\\\mathbf{SiO}_{2}$ -coated perovskites QDs are promising candidates for laser devices. $\\\\circledcirc$ 2020 Chinese Laser Press \\n\\nhttps://doi.org/10.1364/PRJ.399845', 'metadata': None, 'embedding': None, 'score': None}, {'id': None, 'title': 'Flexible All-Inorganic Perovskite Photodetector with a Combined Soft-Hard Layer Produced.md', 'content': 'Supporting Information\\n**Flexible All-Inorganic Perovskite Photodetector with a Combined Soft-Hard Layer Produced by Ligand Cross-Linking**\\n\\nTongyu Shi1,2, Xi Chen1,2, Rui He1\\\\*, Hao Huang1, Xinru Yuan1,2, Zhenyu Zhang1, Jiahong Wang $I,2,3$ , Paul K. Chu4, Xue-Feng Yu1,2,3\\\\* \\n\\n**METHOD**\\n\\nMaterials. The main chemical reagents including cesium bromide (CsBr, Aladin, $99.9\\\\%$ ), lead bromide (PbBr2, Aladin, $99.0\\\\%$ ), N,N-dimethylformamide (DMF, Aladin, $99.9\\\\%$ ), oleylamine (OAm, Aladin, $\\\\mathrm{C}18{:}80{-}90\\\\%$ ), oleic acid (OA, Aladdin, AR), 1H,1H,2H,2H-Perfluorodecyltrichlorosilane (FDTS, Aladin, $96\\\\%$ ), chloroform (Sinopharm, $99.0\\\\%$ ), ethonal (Sinopharm, $99.8\\\\%$ ), acetone (Sinopharm, $99.0\\\\%$ ), gold (Zhongnuo Advanced Material (Beijing) Technology Co., Ltd, $99.99\\\\%$ ) were used without purification, except chloroform which was dehydrated before use. \\n\\nSynthesis of purified CsPbBr3 NCs. The CsPbBr3 NCs were prepared by the ligandassisted reprecipitation method. Firstly, CsBr (0.4 mmol), $\\\\mathrm{PbBr}_{2}$ ( $\\\\leftmoon.4\\\\mathrm{\\\\mmol}\\\\right)$ ) were dissolved in DMF $\\\\mathrm{[0\\\\,mL]}$ ). Subsequently, OAm $\\\\left(0.1\\\\,\\\\mathrm{mL}\\\\right)$ ) and OA (1 mL) were added to stabilize the precursor solution until the powder was completely dissolved. 1 mL of the precursor solution was added quickly into chloroform ( $\\\\mathrm{[0\\\\mL]}$ under vigorous stirring, and strong green emission was observed immediately. After three times centrifugation ( $10{,}000\\\\;\\\\mathrm{rpm}$ , $10\\\\;\\\\mathrm{min}$ ), purified CsPbBr3 NCs can be obtained. \\n\\nSynthesis of CsPbBr3 $@$ FDTS NCs. The FDTS dispersant should be freshly prepared before use ( $10\\\\;\\\\mathrm{mL}$ chloroform, $30~\\\\upmu\\\\mathrm{L}$ ethanol, $1.5~\\\\upmu\\\\mathrm{L}$ deionized water and 10 $\\\\upmu\\\\mathrm{L}$ FDTS). Then $1~\\\\mathrm{mL}$ chloroform and $1~\\\\mathrm{mL}$ FDTS dispersant were added into the redispersed purified CsPbBr3 NCs chloroform solution ( $2\\\\,\\\\mathrm{mL})$ in sequence with a 5 min interval. After stirring for 10 min, $1~\\\\mathrm{mL}$ chloroform and $1~\\\\mathrm{mL}$ FDTS dispersant were added again. The obtained colloid solution was centrifugated (10,000 rpm, 10 min) to get the CsPbBr3@FDTS NCs, which were used for the TEM characterization (Figure \\n\\n1c) and photodetector fabrication. After further drying at $50\\\\,^{\\\\circ}\\\\mathrm{C}$ , the CsPbBr3 $@$ FDTS powders were used for other material characterizations and stability tests. \\n\\nPreparation of the CsPbBr3 $@$ FDTS flexible photodetector. The CsPbBr3@FDTS NCs were redispersed in chloroform to form a $10\\\\,\\\\mathrm{g/mL}$ uniform dispersion. Polyimide (PI) membranes $2.5\\\\ \\\\mathrm{cm}\\\\times2.5\\\\ \\\\mathrm{cm}$ ) were cleaned sequentially in acetone, ethanol and deionized water. The CsPbBr3@FDTS film was obtained by the drop-casting method, and then the gold electrodes $\\\\mathrm{\\\\Delta}1\\\\ \\\\mathrm{mm}\\\\times1\\\\ \\\\mathrm{mm}$ ) were deposited on the composite film by thermal evaporation, and the channel length between the Au electrodes is $25\\\\;\\\\upmu\\\\mathrm{m}$ . \\n\\n**Characterization**\\n\\nThe morphology of nanocrystals was examined by transmission electron microscopy (TEM, FEI Talos F200X) at $200~\\\\mathrm{kV}.$ The composition was determined by energydispersive X-ray spectroscopy (EDS) using the accessory manufactured by Oxford instruments. To characterize the structure, powder X-ray diffraction (XRD) was performed on a Rigaku Smartlab 3kW X-ray diffractometer with $\\\\mathrm{{Cu\\\\K_{\\\\alpha}}}$ radiation $\\\\uplambda=$ 1.54056 \u00c5, 40 kV, $30~\\\\mathrm{~mA}$ , $10^{\\\\circ}\\\\:\\\\mathrm{\\\\min}^{-1}$ from 10 to $60^{\\\\circ}$ ). X-ray photoelectron spectroscopy (XPS) was carried out on the Thermo ESCALAB 250Xi system. The structure of the composites was analyzed by Fourier transform infrared spectroscopy (FTIR, Thermo Scientific, Nicolet iS60) with the KBr pellet method. The PL and TRPL properties were determined using a fluorescent spectrophotometer (Hitachi F4600 and Edinburgh FLS-1000) at an excitation wavelength of $365~\\\\mathrm{\\\\Omeganm}$ . The absorption spectra were obtained on the Lambda25 UV-Vis-NIR spectrophotometer. The morphology of the perovskite films was examined by scanning electron microscopy (SEM, Zeiss GeminiSEM 300) and atomic force microscopy (AFM, Bruker, USA). The mechanical properties such as elastic modulus and hardness were detected by a Nanoindenter XP (Bruker Hysitron TI950). Electric and optoelectronic measurements of the fabricated devices were conducted in darkness and recorded by the PDA FS380 semiconductor analyzer. \\n\\n![](https://imgbed.siat-mic.com/i/2024/08/29/ecff7f895eefd301189f0cd539cf86b3c21ca18096307a0f6ac124cbd21b8b57-1724930511.jpg) \\n\\nFigure S1. Schematic illustration of the CsPbBr3 $@$ FDTS NCs synthesis process \\n\\n![](https://imgbed.siat-mic.com/i/2024/08/29/290e42a245f86dc9d7f65a4debeb966335f76bb3c5cce955b654d77b503256ef-1724930515.jpg) \\n\\nFigure S2. Particle size distributions: (a) purified CsPbBr3 NCs and (b) CsPbBr3@FDTS. \\n\\n![](https://imgbed.siat-mic.com/i/2024/08/29/fb18e4e5c05a155cef0de322b485570ec2fee28b767c1d2d6064b3c21468d897-1724930510.jpg) \\n\\nFigure S3. HRTEM images of (a) purified CsPbBr3 and (b) CsPbBr3@FDTS NCs \\n\\n![](https://imgbed.siat-mic.com/i/2024/08/29/0562bda03c72170949547ab490880fead562a2fb238e7ae1c79012e7c7a015cb-1724930516.jpg) \\n\\nFigure S4. EDS elemental maps of CsPbBr3@FDTS NCs. \\n\\n![](https://imgbed.siat-mic.com/i/2024/08/29/b49d74790bb350904c260f2e63aedf9ca49c31a949fcbb09b5f42f5c0b7bee45-1724930518.jpg) \\n\\nFigure S5. Br $3d$ XPS spectra of purified CsPbBr3 NCs and CsPbBr3@FDTS. \\n\\n![](https://imgbed.siat-mic.com/i/2024/08/29/b101ff61ae8529009f7d5e11f324b97806ff4d381a9f9eba805dd9cd9accbdcf-1724930529.jpg) \\n\\nScheme S1. Formation of the in situ network-like coating of Si-O-Si on CsPbBr3. \\n\\n![](https://imgbed.siat-mic.com/i/2024/08/29/9ad901d0dc1855c3e32b4518dff5bbf844f15a24a85b60ceb6e66778a1de55a6-1724930519.jpg) \\n\\nFigure S6. TEM image of CsPbBr3@FDTS synthesized under ambient conditions $(25\\\\,^{\\\\circ}\\\\mathrm{C}$ and relative humidity of $75\\\\%$ ). \\n\\n![](https://imgbed.siat-mic.com/i/2024/08/29/994d931c28fd6749ebd9fa7da1e0c30cf9d1301c9b29dfaaf2c91d1ce79b88e5-1724930508.jpg) \\n\\nFigure S7. TEM image of CsPbBr3@FDTS synthesized without ethanol addition in a sealed environment. \\n\\n![](https://imgbed.siat-mic.com/i/2024/08/29/2e704c33bac719b6132f276648ee4d60fc9a645813451cb135738808ba26c495-1724930528.jpg) \\nFigure S8. TEM images of the CsPbBr3@FDTS NCs with different amount of FDTS addition \\n\\n![](https://imgbed.siat-mic.com/i/2024/08/29/da918f94c059c95e4f1a830279fbf0b1677f349463b221ab8a07f468ee540c89-1724930513.jpg) \\n\\nFigure S9. The contact angle of the CsPbBr3 $@$ FDTS NCs. \\n\\n![](https://imgbed.siat-mic.com/i/2024/08/29/0920545fbc10a23658c60ee4f2fab1813b59abd76e2241db06c03a8a049e2906-1724930523.jpg) \\nWavelength (nm) \\n\\nFigure S10. The PL signal of the purified $\\\\mathrm{Cs}\\\\mathrm{Pb}{\\\\mathrm{Br}}_{3}$ and $\\\\mathrm{CsPbBr}_{3}@]$ FDTS. \\n\\n![](https://imgbed.siat-mic.com/i/2024/08/29/589e5b59f87b5003362e5e8d321f2f87d7f1399f27f4490e96e362ec4529a4be-1724930530.jpg) \\n\\nFigure S11. Time-resolved PL decay and fitted curve of $\\\\mathrm{Cs}\\\\mathrm{Pb}{\\\\mathrm{Br}}_{3}$ OA/OAm. \\n\\nTable S1. Fitting parameters and average lifetimes of CsPbBr3 NCs. \\n\\n![](https://imgbed.siat-mic.com/i/2025/01/10/bc72cff97c5a6f96880691b8f8159505d996d89954315d12c5da3d1ed6be5d20-1736510662.jpg) \\n\\n![](https://imgbed.siat-mic.com/i/2024/08/29/0d5b153b358bc8af318a683e7b3a4126d1d07639a0ca39bc9a1bf514f9af0b49-1724930527.jpg) \\n\\nFigure S12. Time-dependent PL intensity of the perovskite NCs under harsh conditions $85\\\\,^{\\\\circ}\\\\mathrm{C}$ high temperature and $85\\\\%$ relative humidity). \\n\\n![](https://imgbed.siat-mic.com/i/2024/08/29/72003e3901a9dd38d8224bca3afcbf5c005ce001914539b4feeb46472936e93e-1724930524.jpg) \\n\\nFigure S13. SEM images: (a) purified CsPbBr3 and (b) CsPbBr3 $@$ FDTS film. \\n\\n![](https://imgbed.siat-mic.com/i/2024/08/29/ce25b1e231514c6cfffd3592edb7ef92665a52ba98a313e2578a57b4bcf2f516-1724930525.jpg) \\n\\nFigure S14. I\u2013V curves: (a) purified CsPbBr3 and (b) CsPbBr3 $@$ FDTS photodetectors under different illumination intensities at a bias of $5\\\\;\\\\mathrm{V}.$ \\n\\nTable S2. The performance of detectors fabricated by $\\\\mathrm{CsPbBr}_{3}@$ FDTS with different parameters. \\n\\n![](https://imgbed.siat-mic.com/i/2024/08/29/e0b17462d937309c21ebee087acefadf5eddb37e3fd7d5e55b7bdec2f1045675-1724930514.jpg) \\n\\n![](https://imgbed.siat-mic.com/i/2024/08/29/54e5c54ae30ba6e008b99e934a3bd649fed7ebe5d66e268067b8e5305e3572c7-1724930510.jpg) \\n\\nFigure S15. Photocurrent and switch ratio of the purified $\\\\mathrm{Cs}\\\\mathrm{Pb}{\\\\bf B}{\\\\bf r}_{3}$ NCs devices as a function of light intensity at a bias of $5\\\\;\\\\mathrm{V}$ . \\n\\n![](https://imgbed.siat-mic.com/i/2024/08/29/c41618451ed303ff1f06250b7757b2df76c19be4ed47ac065824c429f588cfa9-1724930521.jpg) \\n\\nFigure S16. Responsivity and specific detectivity of the purified CsPbBr3 NCs devices as a function of the light intensity at a bias of $5\\\\;\\\\mathrm{V}$ . \\n\\n![](https://imgbed.siat-mic.com/i/2024/08/29/f7fd68397d941b3e0558b8796362e2f6286adacf0a1b02b51c00f6487c3abfaf-1724930513.jpg) \\n\\nFigure S17. Current\u2212time characteristics of the purified $\\\\mathrm{Cs}\\\\mathrm{Pb}{\\\\mathrm{Br}}_{3}$ NCs devices under different illumination intensities at a bias of $5\\\\;\\\\mathrm{V}.$ . \\n\\n![](https://imgbed.siat-mic.com/i/2024/08/29/f619dc9e2fa3ac0ed5fe065c3d6e1d476a24ee47194fc2565285711c641c3786-1724930517.jpg) \\n\\nFigure S18. I\u2013V curves of the purified $\\\\mathrm{Cs}\\\\mathrm{Pb}{\\\\mathrm{Br}}_{3}$ photodetectors under different bending radii. \\n\\nTable S3. Summary of the photoresponse performance figure-of-merits of representative photodetectors \\n\\n![](https://imgbed.siat-mic.com/i/2024/08/29/9be2fcdbd736c370f1681ef32686b0f30c8bd69e0fa0423560a454ac3083676a-1724930521.jpg)', 'metadata': None, 'embedding': None, 'score': None}, {'id': None, 'title': 'CsPbX3 Quantum Dots for Lighting and Displays RoomTemperature Synthesis, Photoluminescence Superiorities, Underlying Origins and White Light-Emitting Diodes.md', 'content': '\\n\\n3. Conclusion\\nIn summary, in this work, we report a facile SR method for the synthesis of highly emissive IPQDs. Emissions covering the entire visible region can be obtained via f ine controlling of composition and particle size. Excellent photoluminescence with narrow line-widths, high QY up to ${\\\\approx}90\\\\%$ and high photo stability are achieved, which are comparable with that synthesized by HI method. Detailed investigations about the inf luences of surface states and crystal structures on optical properties were made. The exciton binding energies are calculated to be 40 and $44~\\\\mathrm{meV}$ for CPB-M and CPB-C, which are appropriate for the stimulated emission at RT. The Br rich surface states endow $\\\\mathrm{Cs}\\\\mathrm{Pb}{\\\\mathrm{Br}}_{3}$ QDs with interesting anion exchange reactions, selfpassivating, and self-soldering behaviors. Finally, thanks to the outstanding optical properties, WLED with pure white color and high stability are fabricated. There is no doubt that this eff icient approach for the synthesis of the outstanding QDs will be in favor of a range of applications including lasing, lighting, and display. Though more investigations are needed to reveal the correlations between structural (especially the surface states) and physical properties, our f indings will provide good references and enhance researchers\u2019 understanding of this QD system, pushing it to a new research paradigm in the f ield of optoelectronic devices, as well as sensors and memristors. \\n\\npurif ication. In a typical synthesis of $\\\\mathsf{C s P b B r}_{3}$ , $\\\\mathsf{P b B r}_{2}$ $(0.4\\\\,\\\\mathsf{\\\\,m m o l})$ and CsBr $(0.4\\\\,\\\\mathsf{\\\\,m m o l})$ were dissolved in DMF or DMSO $(10\\\\ m L)$ . OA $(1\\\\ m L)$ and $\\\\mathsf{O A m}$ $(0.5\\\\;\\\\mathrm{\\\\mL})$ were added to stabilize the precursor solution. Then, $\\\\rceil\\\\mathsf{\\\\Omega}_{\\\\mathsf{m L}}$ of the precursor solution was quickly added into toluene $(\\\\mathsf{10\\\\ m L})$ under vigorous stirring. Strong green emission was observed immediately after the injection. Other samples with different colors were fabricated with the mixture of $\\\\mathsf{P b X}_{2}$ and $\\\\mathsf{C s X}$ $(\\\\mathsf{X}=\\\\mathsf{C}\\\\mathsf{I}$ , Br, I). All above operations were implemented at room temperature, which varies with seasons from about $30^{\\\\circ}$ in the summer of Nanjing to about $0^{\\\\circ}$ in the winter of Najing. \\n\\nSynthesis of $\\\\mathsf{C s}P b X_{3}$ QDs with $H I$ Method : First, the Cs-precursor was prepared according to our previous report and stored in a glove-box before use. In a typical synthesis of $\\\\mathsf{C s P b B r}_{3}$ , octadecene ( $.75m L$ , ODE), OA $(1.5\\\\ m L)$ , OAm $(1.5\\\\ m L)$ , and $\\\\mathsf{P b B r}_{2}~(0.2~\\\\mathsf{g})$ were mixed and degased under argon for $\\\\intercal\\\\ {\\\\mathsf{h}}$ . To obtain cubic structure, the reaction temperature was raised up to $180\\\\ ^{\\\\circ}C$ and the system was kept at this temperature for more $20\\\\,\\\\mathsf{m i n}$ . After that, $\\\\mathsf{\\\\tau}_{\\\\mathsf{m L}}$ of the Cs-precursor was swiftly injected into above system and the reaction was stopped immediately with ice bath. The IPQDs were washed with acetone and toluene via precipitation and redispersed in toluene f inally. When injecting Cs precursor below $740\\\\ ^{\\\\circ}\\\\mathsf C_{\\\\mathrm{r}}$ monoclinic structure was obtained. Other samples with different colors were fabricated with the mixture of $\\\\mathsf{P b X}_{2}$ $(\\\\mathsf X=\\\\mathsf C|$ , Br, I). \\n\\nFabrication of LED Devices : IPQDs/PMMA composites were prepared via dispersing the colloids into the PMMA/chloroform solution. Then, composite layers were casting onto the surface of a blue LED chips (centered at $460\\\\ \\\\mathsf{n m}$ ) and dried under vacuum at $60~^{\\\\circ}\\\\mathrm{C}$ for $72~\\\\mathsf{h}$ \\n\\nMeasurement and Characterization : XRD patterns were recorded on a multipurpose XRD system D8 Advance from Bruker. UV/Vis absorption spectra were obtained using a Shimadzu 3600 UV/Vis spectrophotometer and photoluminescence spectra were measured with a Varian Cary Eclipse instrument. SEM images and EDX results were measured on FEI Quanta 250F. HRTEM images were recorded on FEI Tecnai G20. Fluorescence lifetimes were measured using a Horiba FM-4P time-corrected single-photon-counting (TCSPC) system. The temperature dependent photoluminescence spectra were measured at Horiba luminescence spectrometer (HR 320) with a laser excitation $(442\\\\,\\\\mathsf{\\\\ n m})$ at different temperatures in a closed-circuit liquid helium system. The light source was focused onto the sample substrate by an immersion-oil objective and the PL signal of single-particle was collected by the same objective and a charge-coupled device camera. Meanwhile, the PL signal was sent through a beam splitter tube to two avalanche photodiodes in a Hanbury Brown-Twiss conf iguration for the PL decay measurement. The QYs of the samples were measured according to our previous reports. The reference dyes are quinine sulfate, f luorescein and rhodamine 6G. \\n\\nComputational Details : All the density functional calculations are performed by using the Vienna ab simulation package (VASP),[ 45 ] under periodic boundary conditions. The projector-augmented-wave (PAW) potential with cesium (Cs), lead $(\\\\mathsf{P b})$ , and bromine (Br) is described as valence. Spin-orbital coupling (SOC) effect is induced because of Cs and Pb element. Geometry optimization and band structure calculations are carried out under the Perdew, Burke, and Ernzerholf (PBE)[ 46 ] exchange-correlation functional. The kinetic energy cutoff of the plane wave is set to be $500~{\\\\mathsf{e V}}$ on a grid of $11\\\\times11\\\\times11$ k-points. The accuracy can be verif ied by the optimized $\\\\mathsf{C s P b B r}_{3}$ lattice parameter a = 5.99 \u00c5.[ 18 ] \\n\\nSynthesis of $C s P b X_{3}$ QDs with SR Strategy : All the reagents were purchased from Aladdin and were used directly without further', 'metadata': None, 'embedding': None, 'score': None}]", "call_id": "call_QvD9lp53ZRUZH95MopgzbWVz"}], "type": "ToolCallExecutionEvent"}, {"source": "Scientist_SynthesisAgent", "models_usage": {"prompt_tokens": 7562, "completion_tokens": 1232}, "content": "Let's analyze the retrieved knowledge for synthesizing CsPbBr3 nanocubes at room temperature to create a robust and detailed synthesis scheme:\n\n---\n\n### Analysis of Knowledge Fragments:\n\n**Fragment 1:**\n1. Describes a one-pot synthesis at room temperature for CsPbBr3 quantum dots coated with silica using precursors CsBr and PbBr2 in DMF. \n2. Stabilizing agents (Oleylamine (OAm) and Oleic Acid (OA)) are added to control particle size and enhance stability.\n3. Confirms that this method provides high photoluminescence quantum yield (PLQY) and chemical stability.\n\n**Interpretation:** Provides key insights into precursors and the role of stabilizing ligands under room-temperature conditions.\n\n**Fragment 2:**\n1. Details a ligand-assisted reprecipitation strategy for preparing CsPbBr3 nanocrystals (NCs) at room temperature.\n2. Uses DMF as solvent, precursors (CsBr, PbBr2), and ligand stabilizers (OAm, OA), followed by rapid injection into a nonpolar solvent like toluene or chloroform under vigorous stirring.\n3. Emphasizes a purified product achieved by centrifugation.\n \n**Interpretation:** This method specifies the use of polar vs nonpolar solvents and offers stability measures through sequential purification steps.\n\n**Fragment 3:**\n1. Suggests another room-temperature synthesis route for CsPbBr3 QDs, relying on solvents (DMF, DMSO) and stabilizers (OA and OAm).\n2. Proposes rapid injection into a nonpolar solvent like toluene under constant stirring for immediate crystallization.\n\n**Interpretation:** Reiterates the critical role of solvent environment and fast crystallization for successful room-temperature synthesis.\n\n---\n\n### Deduction of Synthesis Scheme:\n\nAfter consolidating key details from the provided fragments, the following experimental scheme for CsPbBr3 nanocube synthesis has been developed. \n\n---\n\n## Comprehensive Synthesis Plan for CsPbBr3 Nanocubes\n\n---\n\n### **1. Synthesis Conditions**\n- **Temperature:** Room temperature (25\u201330\u00b0C)\n- **Pressure:** Ambient\n- **Atmosphere:** Nitrogen or argon to avoid oxidation or water contamination.\n- **pH:** Not specifically controlled, but inert conditions ensure minimal interactions.\n\n---\n\n### **2. Materials & Amounts Required**\n| Mat.ID | Mat.Name | Mat.Value/Range | Mat.Unit |\n|--------|-------------------------|-------------------------|----------|\n| M001 | Cesium bromide (CsBr) | 0.4 mmol | mmol |\n| M002 | Lead(II) bromide (PbBr2) | 0.4 mmol | mmol |\n| M003 | N,N-dimethylformamide (DMF) | 10 mL | mL |\n| M004 | Oleylamine (OAm) | 0.1 mL | mL |\n| M005 | Oleic Acid (OA) | 1 mL | mL |\n| M006 | Toluene or chloroform | 10 mL | mL |\n\n---\n\n### **3. Equipment & Containers**\n| ID | Name | Param/Capacity | Note |\n|------|--------------------|---------------------------------------------|------|\n| E001 | Glass Pipette | Standard, 1\u201310 mL | For solvent handling. |\n| C001 | Reaction Flask | 50 mL, inert solvent-resistant glass vessel | For primary reaction. |\n| E002 | Centrifuge | Speed: 10,000 rpm | For sample purification. |\n| E003 | Stirring Hotplate | Magnetic stirrer | Required for homogeneous stirring. |\n\n---\n\n### **4. Synthesis Sequence**\n1. Dissolve **CsBr (M001)** and **PbBr2 (M002)** in **DMF (M003)** at room temperature in the reaction flask (C001).\n2. Add **OAm (M004)** and **OA (M005)** to stabilize the precursor solution, mix thoroughly with magnetic stirring on the hotplate (E003).\n3. Rapidly inject the precursor solution into a vigorously stirred nonpolar solvent (e.g., **toluene (M006)**) to initiate nanoparticle nucleation.\n4. Stop the reaction immediately after crystallization by centrifugation (E002).\n\n---\n\n### **5. Step-by-Step Process for Final Material Synthesis**\n**Step 1: Precursor Preparation**\n- In C001, combine CsBr (M001) and PbBr2 (M002) in DMF.\n- Add ligands OAm (M004) and OA (M005), stirring for 15 minutes.\n\n**Step 2: Particle Nucleation**\n- In a flask containing toluene (M006), inject the precursor mixture with a pipette (E001) under high-speed stirring (500 rpm).\n\n**Step 3: Harvesting Nanocubes**\n- Allow nanocube precipitation within 1\u20132 minutes.\n- Centrifuge the mixture (E002) to isolate nanoparticles, wash thrice with toluene and dry thoroughly.\n\n---\n\n### **6. Material Characterization**\n- **XRD (X-Ray Diffraction):** Confirm cubic phase of CsPbBr3.\n- **PL Spectroscopy:** Assess photoluminescence properties and optical quality.\n- **TEM (Transmission Electron Microscopy):** Verify size and morphology.\n- **UV-Vis Spectroscopy:** Examine absorption spectrum.\n\n---\n\n### **7. Additional Considerations**\n- Conduct synthesis in a nitrogen-filled glovebox to minimize moisture-sensitive side reactions.\n- Use high-purity reagents to ensure defect-free nanocubes.\n- Store final product in sealed vials under inert conditions.\n\n---\n\nHandoff back to **Scientist_PlanningAgent** is now complete.", "type": "TextMessage"}, {"source": "Scientist_SynthesisAgent", "models_usage": {"prompt_tokens": 8946, "completion_tokens": 16}, "content": [{"id": "call_jYuXrBJ2KAQsnoNyJJqK618u", "arguments": "{}", "name": "transfer_to_scientist_planningagent"}], "type": "ToolCallRequestEvent"}, {"source": "Scientist_SynthesisAgent", "models_usage": null, "content": [{"content": "Transferred to Scientist_PlanningAgent, adopting the role of Scientist_PlanningAgent immediately.", "call_id": "call_jYuXrBJ2KAQsnoNyJJqK618u"}], "type": "ToolCallExecutionEvent"}, {"source": "Scientist_SynthesisAgent", "models_usage": null, "target": "Scientist_PlanningAgent", "content": "Transferred to Scientist_PlanningAgent, adopting the role of Scientist_PlanningAgent immediately.", "context": [], "type": "HandoffMessage"}, {"source": "scientist_team", "models_usage": {"prompt_tokens": 1352, "completion_tokens": 724}, "content": "### Synthesis Plan for CsPbBr3 Nanocubes at Room Temperature\n\n#### **Synthesis Conditions**\n- **Temperature:** Room temperature (25\u201330\u00b0C)\n- **Atmosphere:** Inert (Nitrogen or Argon)\n- **Pressure:** Ambient\n\n#### **Materials Required**\n| Material Name | Quantity | Notes |\n|-----------------------------|---------------------|------------------------------------|\n| Cesium bromide (CsBr) | 0.4 mmol | High purity required. |\n| Lead(II) bromide (PbBr2) | 0.4 mmol | High purity required. |\n| N,N-dimethylformamide (DMF) | 10 mL | Polar solvent for precursor dissolution. |\n| Oleylamine (OAm) | 0.1 mL | Stabilizing/size-controlling agent. |\n| Oleic Acid (OA) | 1 mL | Stabilizing/size-controlling agent. |\n| Toluene or chloroform | 10 mL | Nonpolar solvent for nanoparticle nucleation. |\n\n#### **Equipment Needed**\n| Equipment | Specification | Function |\n|----------------------------|-------------------------------------------|--------------------------|\n| Reaction Flask | 50 mL, inert solvent-resistant | Mixing precursors. |\n| Magnetic Stirrer Hotplate | With adjustable speed | Homogeneous mixing. |\n| Glass Pipette | 1\u201310 mL capacity | For rapid injection. |\n| Centrifuge | Capable of 10,000 rpm | Nanoparticle purification. |\n\n#### **Procedure**\n1. **Prepare Precursor Solution:** \n - Dissolve 0.4 mmol CsBr and 0.4 mmol PbBr2 in 10 mL DMF inside an inert atmosphere-compatible reaction flask. \n - Add 0.1 mL Oleylamine (OAm) and 1 mL Oleic Acid (OA). \n - Stir the mixture for 15 minutes at room temperature until fully dissolved.\n\n2. **Nanoparticle Nucleation:** \n - Prepare 10 mL of nonpolar solvent (toluene or chloroform) in a separate, vigorously stirred flask. \n - Rapidly inject the precursor solution into the stirred solvent using a pipette. \n - Nanocube nucleation will occur within 1\u20132 minutes.\n\n3. **Harvesting:** \n - Centrifuge the resulting suspension at 10,000 rpm to collect the nanoparticles. \n - Wash the precipitate three times with toluene to remove impurities. \n - Dry the product under an inert gas flow and store it in a sealed vial.\n\n#### **Characterization**\n- **Confirm Structure:** Use X-ray Diffraction (XRD) to verify the cubic phase of CsPbBr3.\n- **Optical Properties:** Measure photoluminescence (PL) and absorption using PL and UV-Vis Spectroscopy.\n- **Morphology Check:** Use Transmission Electron Microscopy (TEM) to ensure uniform nanocube shape and size.\n\n#### **Notes**\n- Perform the synthesis under a nitrogen-filled glovebox to prevent moisture-related degradation.\n- Use all reagents at the highest purity to avoid defects in the nanocubes.\n- Store the final product in inert conditions to maintain stability.\n\nThis optimized workflow ensures robust, highly luminescent CsPbBr3 nanocube synthesis with strong chemical stability.", "type": "TextMessage"}, {"source": "PlanningAgent", "models_usage": {"prompt_tokens": 1947, "completion_tokens": 162}, "content": "**\u5df2\u5b8c\u6210\u5b50\u4efb\u52a1\uff1a** \n1. Scientist : Provided the detailed synthesis scheme for CsPbBr3 nanocubes.\n\n---\n\n**Now proceeding with the next sub-task:**\n\n---\n\n### **Task Assignment Table:**\n| Team_name | Member_name | Sub-task |\n| --------------- | ------------------- | ----------------------------------------------------------------------- |\n| Engineer | Structural Engineer | Convert the synthesis scheme into a JSON-formatted experimental scheme. |\n\n```mermaid\ngraph TD\nUser[User]\n subgraph Scientist\n A1[Synthesis Scientist]\n end\n subgraph Engineer\n B1[Structural Engineer]\n end\nUser --> A1 --> B1\n```\n\n---\n\n**Next sub-task:** 2. Engineer : Convert the synthesis scheme into JSON format suitable for execution.\n\nSTART", "type": "TextMessage"}, {"source": "Engineer_PlanningAgent", "models_usage": {"prompt_tokens": 1558, "completion_tokens": 14}, "content": [{"id": "call_tsHYjK9Lm3zOcyUZpAHhfSzB", "arguments": "{}", "name": "transfer_to_structural_engineer"}], "type": "ToolCallRequestEvent"}, {"source": "Engineer_PlanningAgent", "models_usage": null, "content": [{"content": "Transferred to Structural_Engineer, adopting the role of Structural_Engineer immediately.", "call_id": "call_tsHYjK9Lm3zOcyUZpAHhfSzB"}], "type": "ToolCallExecutionEvent"}, {"source": "Engineer_PlanningAgent", "models_usage": null, "target": "Structural_Engineer", "content": "Transferred to Structural_Engineer, adopting the role of Structural_Engineer immediately.", "context": [], "type": "HandoffMessage"}, {"source": "Structural_Engineer", "models_usage": {"prompt_tokens": 1479, "completion_tokens": 11}, "content": [{"id": "call_s4VgIIhVF82vJIaUrcRGuBJ6", "arguments": "{}", "name": "generate_task_id"}], "type": "ToolCallRequestEvent"}, {"source": "Structural_Engineer", "models_usage": null, "content": [{"content": "task_20250216113404", "call_id": "call_s4VgIIhVF82vJIaUrcRGuBJ6"}], "type": "ToolCallExecutionEvent"}] \ No newline at end of file diff --git a/_backend/rtsp2webrtc/config.json b/_backend/rtsp2webrtc/config.json new file mode 100644 index 0000000..1784bf1 --- /dev/null +++ b/_backend/rtsp2webrtc/config.json @@ -0,0 +1,41 @@ +{ + "server": { + "debug": true, + "log_level": "info", + "http_demo": true, + "http_debug": false, + "http_login": "demo", + "http_password": "demo", + "http_port": ":8083", + "ice_servers": [ + "stun:stun.xten.com:3478" + ], + "rtsp_port": ":5541" + }, + "streams": { + "demo1": { + "name": "test video stream 1", + "channels": { + "0": { + "name": "ch1", + "url": "rtsp://admin:@192.168.1.13:554/live", + "on_demand": true, + "debug": true, + "audio": true, + "status": 0 + }, + "1": { + "name": "ch2", + "url": "rtsp://admin:@192.168.1.10:554/live", + "on_demand": true, + "debug": true, + "audio": true, + "status": 0 + } + } + } + }, + "channel_defaults": { + "on_demand": true + } +} \ No newline at end of file