Add dynamic agent registry and options mandate

Introduces a dashboard-managed agent registry (`state/agents.json`) used by nightly research and market-open execution, including support for custom/disabled agents and per-agent time budgets. Expands personas to four agents (adds Maverick), shifts pick targets to include mandatory options, and updates prompts/finalization nudges to enforce option research without hard-failing runs.

Strengthens execution safety by adding option-specific guardrails (conviction floor, premium cap, reserved option slot through trade/day/buying-power caps), validates OCC option symbols in schemas, and normalizes invalid option direction cases. The dashboard was refactored into modular views, adds an Agents admin tab, and improves live portfolio visibility with Alpaca-first data and snapshot fallback.
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Aryan Singh committed 2026-07-07 22:00:20 -05:00
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"""Theses tab: each agent's overnight picks, with committee verdicts badged inline."""
from __future__ import annotations
import json
import streamlit as st
from agents.schemas import AgentOutput
from orchestration.committee import load_verdicts
from web.views.common import S, trade_dates
_BADGE = {"approve": "✅", "reduce": "⚠️ reduced", "veto": "🚫 VETOED"}
def _committee_memo(date: str) -> str:
path = S.output_dir / date / "_committee.json"
if not path.exists():
return ""
try:
return str(json.loads(path.read_text()).get("_memo", ""))
except Exception:
return ""
def render() -> None:
dates = trade_dates()
if not dates:
st.info("No nightly output yet. Run: `uv run python -m orchestration.run_nightly --compressed`")
return
date = st.selectbox("Trade date", dates)
verdicts = load_verdicts(date)
memo = _committee_memo(date)
if memo:
with st.expander("🏛️ Investment Committee memo", expanded=False):
st.write(memo)
for (agent, ticker), v in verdicts.items():
if v["verdict"] != "approve":
st.caption(f"{_BADGE.get(v['verdict'], v['verdict'])} **{ticker}** ({agent}) — {v['reason']}")
day_dir = S.output_dir / date
files = sorted(f for f in day_dir.glob("*.json") if not f.name.startswith("_"))
cols = st.columns(max(len(files), 1))
for col, f in zip(cols, files):
try:
out = AgentOutput.model_validate_json(f.read_text())
except Exception as e:
col.error(f"{f.name}: {e}")
continue
with col:
st.markdown(f"### {out.agent_name}")
st.caption(f"status **{out.status.value}** · {len(out.picks)} picks · "
f"{out.steps_used} steps · {out.wall_seconds:.0f}s")
for p in out.picks:
v = verdicts.get((out.persona_id, p.ticker))
badge = f" · {_BADGE[v['verdict']]}" if v and v["verdict"] != "approve" else ""
inst = " · 🎯 option" if p.instrument.value == "option" else ""
with st.expander(f"{p.ticker} · conv {p.conviction:.2f} · {p.time_horizon.value}{inst}{badge}"):
st.write(p.thesis)
if p.instrument.value == "option":
st.caption(f"{p.option_right} {p.contract_symbol} · strike {p.strike} · exp {p.expiry}")
st.caption(
f"weight {p.requested_weight_pct:.0%} · stop {p.stop_loss_pct} · "
f"take {p.take_profit_pct} · {p.direction.value}"
)
if p.catalysts:
st.caption("catalysts: " + ", ".join(p.catalysts))
if v and v["verdict"] != "approve":
st.warning(f"committee: {v['verdict']} — {v['reason']}")
if out.reasoning_trace:
with st.expander("🔍 reasoning trace"):
st.code("\n".join(out.reasoning_trace), language="text")
if out.errors:
st.warning("errors: " + "; ".join(out.errors))