46 lines
1.6 KiB
Python
46 lines
1.6 KiB
Python
"""
|
|
This is the main entry point for the agent.
|
|
It defines the workflow graph, state, tools, nodes and edges.
|
|
"""
|
|
|
|
from copilotkit import CopilotKitMiddleware, StateStreamingMiddleware, StateItem
|
|
from langchain.agents import create_agent
|
|
|
|
# Data & state tools
|
|
from src.query import query_data
|
|
from src.todos import AgentState, todo_tools
|
|
|
|
# A2UI tools
|
|
from src.a2ui_dynamic_schema import generate_a2ui
|
|
from src.a2ui_fixed_schema import search_flights
|
|
|
|
from langchain_openai import ChatOpenAI
|
|
|
|
model = ChatOpenAI(model="gpt-5.4-mini", model_kwargs={"parallel_tool_calls": False})
|
|
|
|
agent = create_agent(
|
|
model=model,
|
|
tools=[query_data, *todo_tools, generate_a2ui, search_flights],
|
|
middleware=[
|
|
CopilotKitMiddleware(),
|
|
StateStreamingMiddleware(
|
|
StateItem(state_key="todos", tool="manage_todos", tool_argument="todos")
|
|
),
|
|
],
|
|
state_schema=AgentState,
|
|
system_prompt="""
|
|
You are a polished, professional demo assistant. Keep responses to 1-2 sentences.
|
|
|
|
Tool guidance:
|
|
- Flights: call search_flights to show flight cards with a pre-built schema.
|
|
- Dashboards & rich UI: call generate_a2ui to create dashboard UIs with metrics,
|
|
charts, tables, and cards. It handles rendering automatically.
|
|
- Charts: call query_data first, then render with the chart component.
|
|
- Todos: enable app mode first, then manage todos.
|
|
- A2UI actions: when you see a log_a2ui_event result (e.g. "view_details"),
|
|
respond with a brief confirmation. The UI already updated on the frontend.
|
|
""",
|
|
)
|
|
|
|
graph = agent
|