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TradingAgents/agent_os
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copilot-swe-agent[bot] cf2df83c38 feat: clickable terminal events, node inspector drawer, stop animation on complete, vite 8 
1. Terminal: remove inline prompts/full text; show short summary per event;
   click any event to open detail drawer with full request/response/model/metrics
2. Fix node "thinking" animation: shimmer only when status=running;
   on_chat_model_end (result) transitions node to completed, animation stops
3. Link nodes to events: clicking a graph node opens the drawer showing
   all events for that node (prompts, tool calls, results)
4. Upgrade Vite 5→8.0.1, @vitejs/plugin-react→5.2.0;
   update tsconfig moduleResolution to "bundler" for Vite 8 compat

Co-authored-by: aguzererler <6199053+aguzererler@users.noreply.github.com>
Agent-Logs-Url: https://github.com/aguzererler/TradingAgents/sessions/93c31c35-9509-4254-96fd-6f47aad07927
 		2026-03-23 07:03:48 +00:00
..
backend refactor: address code review - extract helpers for content extraction and message parsing 2026-03-23 00:53:25 +00:00
frontend feat: clickable terminal events, node inspector drawer, stop animation on complete, vite 8 2026-03-23 07:03:48 +00:00
DESIGN.md docs: finalize AgentOS documentation 2026-03-22 22:54:20 +01:00
README.md docs: finalize AgentOS documentation 2026-03-22 22:54:20 +01:00

README.md

AgentOS: Visual Observability & Command Center

AgentOS is a real-time observability and command center for the TradingAgents framework. It provides a visual interface to monitor multi-agent workflows, analyze portfolio risk metrics, and trigger automated trading pipelines.

System Architecture

  • Backend: FastAPI (Python)
    • Orchestrates LangGraph executions.
    • Streams real-time events via WebSockets.
    • Serves portfolio data from Supabase.
    • Port: 8088 (default)
  • Frontend: React (TypeScript) + Vite
    • Visualizes agent workflows using React Flow.
    • Displays high-fidelity risk metrics (Sharpe, Regime, Drawdown).
    • Provides a live terminal for deep tracing.
    • Port: 5173 (default)

Getting Started

1. Prerequisites

  • Python 3.10+
  • Node.js 18+
  • uv (recommended for Python environment management)

2. Backend Setup

# From the project root
export PYTHONPATH=$PYTHONPATH:.
uv run python agent_os/backend/main.py

The backend will start on http://127.0.0.1:8088.

3. Frontend Setup

cd agent_os/frontend
npm install
npm run dev

The frontend will start on http://localhost:5173.

Key Features

  • Literal Graph Visualization: Real-time DAG rendering of agent interactions.
  • Top 3 Metrics: High-level summary of Sharpe Ratio, Market Regime, and Risk/Drawdown.
  • Live Terminal: Color-coded logs with token usage and latency metrics.
  • Run Controls: Trigger Market Scans, Analysis Pipelines, and Portfolio Rebalancing directly from the UI.

Port Configuration

AgentOS uses port 8088 for the backend to avoid conflicts with common macOS services. The frontend is configured to communicate with 127.0.0.1:8088.