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TradingAgents
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TradingAgents/agent_os
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copilot-swe-agent[bot] 6999da0827 feat: button states, full prompt extraction, portfolio viewer, param inputs 
1. Run buttons: only the triggered button shows spinner, others disabled
2. Backend: enhanced prompt extraction with multiple fallback paths
   (data.messages, data.input.messages, data.input, data.kwargs.messages)
   and raw dump fallback; improved response extraction for edge cases
3. Portfolio viewer: new PortfolioViewer component with holdings table,
   trade history, and summary tabs; portfolio dropdown with auto-load;
   Wallet sidebar icon now navigates to portfolio page
4. Parameter inputs: collapsible panel with date/ticker/portfolio_id;
   validation prevents running without required fields per run type

Co-authored-by: aguzererler <6199053+aguzererler@users.noreply.github.com>
Agent-Logs-Url: https://github.com/aguzererler/TradingAgents/sessions/ffa268c8-e97c-4335-9bce-19bba583bea9
 		2026-03-23 08:46:34 +00:00
..
backend feat: button states, full prompt extraction, portfolio viewer, param inputs 2026-03-23 08:46:34 +00:00
frontend feat: button states, full prompt extraction, portfolio viewer, param inputs 2026-03-23 08:46:34 +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
__init__.py fix: add missing __init__.py files to agent_os package tree 2026-03-23 07:16:38 +00:00

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.