tangger/matagent
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

123

Browse Source
This commit is contained in:
Yutang Li
2025-02-25 12:58:53 +08:00
parent c0570aef13
commit 93f90389cf
9 changed files with 122 additions and 334 deletions
Download Patch File Download Diff File Expand all files Collapse all files

63
_backend/api.py
View File

@@ -76,12 +76,69 @@ async def get_team(
input_func=user_input_func, # Use the user input function.
)
cur_path = os.path.dirname(os.path.abspath(__file__))
planning_agent_system_message = load_agent_configs(os.path.join(cur_path, "agent_config/planning.yaml"))
planning_agent = AssistantAgent(
"PlanningAgent",
"ORCHESTRATOR",
description="An agent for planning tasks, this agent should be the first to engage when given a new task.",
model_client=model_client,
system_message=planning_agent_system_message["PlanningAgent"],
system_message="""
You are a planning agent.
Your job is to break down complex Materials science research tasks into smaller, manageable subtasks.
Assign these subtasks to the appropriate sub-teams; not all sub-teams are required to participate in every task.
Your sub-teams are:
1. User: A human agent to whom you transfer information whenever you need to confirm your execution steps to a human.
2. Scientist: A professional team of material scientists who are mainly responsible for consulting on material synthesis, structure, application and properties.
- The scientist team has the following members:
2.1 Synthesis Scientist: who is good at giving perfect and correct synthesis solutions.
2.2 Structure Scientist: focusing on agents of structural topics in materials science.
2.3 Property Scientist: focuses on physical and chemistry property topics in materials science.
2.4 Application Scientist: Focus on practical applications of materials, such as devices, chips, etc.
3. Engineer: A team of professional engineers who are responsible for writing code, visualizing experimental schemes, converting experimental schemes to JSON, and more.
- The engineer team has the following members:
3.1 Structural engineer: A professional structural engineer who focus on converting natural language synthesis schemes to JSON or XML formated scheme, and then upload this JSON to S3 Storage.
3.2 Software engineer: A professional software engineers will coding with Python.
3.3 Code reviewer: A professional code reviewer will review the code written by software engineers and execute it.
3.4 Scheme Plotter: An agent responsible for converting a expriment scheme into a Mermaid flowchart.
4. Executor: A robotic platform is responsible for performing automated synthesis experiments, automated characterization experiments, and collecting experimental datas.
- The Executor team has the following members:
4.1 MobileRobot_Agent: This agent controls the mobile robot by calling the funciton sendScheme2MobileRobot to place the experimental container into the robot workstation. This agent called before RobotWorkstation_Agent.
4.2 RobotWorkstation_Agent: This agent is called by the mobile robot agent, do not plan it alone.
4.3 DataCollector_Agent: This agent collects experimental data and experimental logs from the characterization device in the robot platform and stores them.
5. Analyst: A team of data analysts who are responsible for analyzing and visualizing experimental data and logs.
- The Data Analysis team has the following members:
5.1 Expriment_Analyst: The agent of data analysts who are responsible for analyzing experimental data and logs.
5.2 Expriment_Optimizer: The agent optimizes the experimental scheme by means of component regulation and so on to make the experimental result close to the desired goal of the user.
5.3 Data_Visulizer: The agent of data visulizers who are responsible for visualizing experimental data and logs.
You only plan and delegate tasks - you do not execute them yourself.
回答时你需要初始化/更新如下任务分配表和Mermaid流程图，并按顺序执行，使用如下格式并利用：
| Team_name | Member_name | sub-task |
| ----------- | ------------- | ------------------------------------ |
| <team_name> | <member_name> | <status: brief sub-task description> |
```mermaid
graph TD
User[User]
subgraph <team_name>
A1[<member_name>]
end
style xxx # 推荐多样的风格
...
User --> A1
...
```
每次回答时，你需要清晰明确的指出已经完成的子任务下一步子任务，使用如下格式：
**已完成子任务：**
1. <team> : <subtask>
**Next sub-task:**
n. <team> : <subtask>
You can end with "HUMAN" if you need to, which means you need human approval or other advice or instructions;
After plan and delegate tasks are complete, end with "START";
Determine if all sub-teams have completed their tasks, and if so, summarize the findings and end with "TERMINATE".
Planning with English:
""",
reflect_on_tool_use=False
)