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app.py

@@ -10,7 +10,8 @@ explains. This is the Off-Brand path: a bespoke UI powered by Gradio's backend
 Brain + Hands: Nemotron (on Modal) never calls an API or names a price; Python
 executes every call and scores every value. Every figure carries provenance.
 
-The gr.Blocks streaming version is retained at ``matchday/app.py`` as a fallback.
+``matchday/app.py`` is a compatibility shim that imports and launches this same
+app, so ``python3 -m matchday.app`` runs the identical non-decorative path.
 
 Reference patterns (3-codebase study, see MATCHDAY_UNCONSTRAINED_PLAN.md):
   - N1 gradio.Server custom-frontend architecture (Off-Brand badge):

index.html

@@ -84,6 +84,9 @@
   .hero h2 .hero-accent{background:linear-gradient(135deg,var(--wc-gold),var(--wc-pink));
     -webkit-background-clip:text;background-clip:text;-webkit-text-fill-color:transparent;color:transparent;}
   .hero p{margin:0;font-size:13px;color:rgba(255,255,255,.92);line-height:1.55;max-width:48ch;}
+  .hero-cold{margin-top:11px;font-size:11.5px;font-weight:600;color:#fde68a;
+    display:inline-flex;align-items:center;gap:6px;background:rgba(0,0,0,.24);
+    padding:5px 11px;border-radius:999px;border:1px solid rgba(251,191,36,.28);}
 
   .msg{display:flex;gap:10px;max-width:94%;animation:fade .3s ease;}
   .msg.user{align-self:flex-end;flex-direction:row-reverse;}
@@ -223,6 +226,7 @@
             <span class="hero-badge">⚽ FIFA World Cup 2026 · Vancouver</span>
             <h2>Plan your <span class="hero-accent">World Cup</span> trip</h2>
             <p>Tell me where you're flying from, the match, your dates &amp; budget. I'll build 3 ranked packages — cheapest flight, safest arrival, closest hotel to BC Place — with live prices &amp; honest provenance.</p>
+            <span class="hero-cold">⏳ First request may take a few minutes while the model warms up.</span>
           </div>
         </div>
       </div>

matchday/app.py

@@ -1,221 +1,39 @@
-"""MatchDay — Gradio app for the 2026 FIFA World Cup in Vancouver.
-
-Streaming agentic flow: Nemotron (Brain, on Modal) decides which tool to call
-and extracts the trip intent -> Python (Hands) executes build_trip_packages and
-scores every price deterministically -> Nemotron writes the comparison. The
-handler is an async generator that yields staged status between the real phases
-(U4 progressive rendering + G1 staged narration), so the UI updates live instead
-of freezing. Falls back to the deterministic parser if the agent is unavailable.
-
-Brain + Hands: Nemotron never calls an API or names a price; Python does. Every
-figure carries a provenance badge (live vs example).
+"""MatchDay — local launch entry (``python3 -m matchday.app``).
+
+Compatibility shim. Delegates to the canonical smart entry at the repo root,
+``app.py`` — the ``gradio.Server`` app that runs the bounded ``run_agent_loop``:
+Nemotron *understands* the request → may *ground* via ``web_search`` / *clarify*
+to capture intent → calls ``build_trip_packages`` → *explains* the ranked
+packages, with deterministic fallback only as graceful degradation. The HF
+Space runs that same root ``app.py``; this shim makes the local
+``-m matchday.app`` command launch the identical, non-decorative path.
+
+History: this file previously held a ``gradio.Blocks`` handler that used the
+single-shot agent bypass (a single inference call only to pick a tool, no
+grounding loop, no cold-start ``_pulse``). That path was *decorative* — the model did not truly
+participate in understanding/grounding/clarification. It was removed so that no
+entry point can serve it; there is now a single source of truth (root
+``app.py``) and no second copy to drift out of sync.
 """
 from __future__ import annotations
 
-import json
-import logging
-from datetime import date
-
-import gradio as gr
-
-from matchday.agent import MatchDayAgent
-from matchday.agent_loop import BuildTripPackagesArgs
-from matchday.intent import parse_intent
-from matchday.models import TripRequest
-from matchday.prompts import EXPLANATION_HINT
-from matchday.render import _CSS, render_full
-from matchday.trip_tool import build_trip_packages, format_for_nemotron
-
-logger = logging.getLogger(__name__)
-
-# Nemotron primary, deterministic fallback. Flip to False to force the
-# deterministic path (useful if Modal is down or for a lightning-fast demo).
-USE_AGENT = True
-
-_HEADER = """
-<div style="font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,sans-serif;
-            background:linear-gradient(135deg,#0f172a,#1e3a8a);color:#fff;
-            padding:22px 26px;border-radius:14px;margin-bottom:6px">
-  <div style="font-size:28px;font-weight:800;letter-spacing:-.02em">⚽ MatchDay</div>
-  <div style="font-size:14px;opacity:.88;margin-top:4px">
-    Your AI trip planner for the <b>2026 FIFA World Cup in Vancouver</b>.
-    Powered by Nemotron-3-Nano-30B (the brain) + deterministic Python (the hands)
-    on Modal. Tell me where you're flying from and which match — I'll build 3
-    ranked packages (flights · hotels · weather · what's near the stadium) with
-    <b>live data and honest provenance</b>.
-  </div>
-</div>
-"""
-
-_EXAMPLES = [
-    "Flying from Montreal, want Canada vs Qatar, mid-range, June 26-29, just me",
-    "I want to fly from Toronto to see Brazil vs Germany, premium, July 12, 2 adults",
-    "Take me from Ottawa to Vancouver for Canada vs Qatar on 2026-06-26, budget",
-    "From Halifax, Canada vs Morocco June 18, couple, luxury",
-]
-
-
-def _greenlight_html(summary: str) -> str:
-    return (
-        '<div style="font-family:-apple-system,Roboto,sans-serif;padding:12px 16px;'
-        'background:#f0fdf4;border:1px solid #bbf7d0;border-radius:12px;'
-        f'color:#166534;font-size:14px;margin:8px 0">✅ <b>Planning your trip:</b> '
-        f"{summary}</div>"
-    )
-
-
-def _clarify_html(question: str) -> str:
-    return (
-        '<div style="font-family:-apple-system,Roboto,sans-serif;padding:16px;'
-        'background:#eff6ff;border:1px solid #bfdbfe;border-radius:12px;'
-        f'color:#1e3a8a;font-size:15px">💬 {question}</div>'
-    )
-
-
-def _explain_html(text: str) -> str:
-    safe = text.replace("<", "&lt;").replace(">", "&gt;").replace("\n", "<br>")
-    return (
-        '<div style="font-family:-apple-system,Roboto,sans-serif;padding:14px 16px;'
-        'background:#f8fafc;border:1px solid #e2e8f0;border-radius:12px;'
-        f'color:#0f172a;font-size:14px;margin-top:10px;line-height:1.5">'
-        f'<b style="color:#1e3a8a">🤖 Nemotron compares your options:</b><br>{safe}</div>'
-    )
-
-
-def _progress_html(msg: str) -> str:
-    """Staged status card between phases (U4 + G1 — narration tied to real progress)."""
-    return _CSS + (
-        '<div class="md-wrap"><div class="md-progress">'
-        f'<span class="spin">⏳</span> <span>{msg}</span></div></div>'
-    )
-
-
-def _args_to_trip(a: BuildTripPackagesArgs) -> TripRequest:
-    return TripRequest(
-        origin_airport=a.origin_airport,
-        match_name=a.match_name or "the match",
-        match_date=date.fromisoformat(a.match_date),
-        check_in=date.fromisoformat(a.check_in),
-        check_out=date.fromisoformat(a.check_out),
-        travelers=a.travelers,
-        budget_tier=a.budget_tier,
-    )
-
-
-async def _agent_explain(agent, user_text: str, trip: TripRequest, result) -> str:
-    """Round 2: Nemotron compares the packages. Best-effort ('' on failure)."""
-    args_json = json.dumps(trip.model_dump(mode="json"))
-    convo = [
-        {"role": "user", "content": user_text},
-        {
-            "role": "assistant",
-            "content": "",
-            "tool_calls": [{
-                "id": "call_build",
-                "type": "function",
-                "function": {"name": "build_trip_packages", "arguments": args_json},
-            }],
-        },
-        {
-            "role": "tool",
-            "tool_call_id": "call_build",
-            "name": "build_trip_packages",
-            "content": format_for_nemotron(result),
-        },
-        {"role": "user", "content": EXPLANATION_HINT},
-    ]
-    try:
-        r2 = await agent.run(convo, tools=[])  # no tools -> Nemotron must write text
-        return (r2.get("text") or "").strip()
-    except Exception as exc:
-        logger.warning("explanation round failed: %s", exc)
-        return ""
-
-
-async def plan_trip(user_text: str):
-    """Streaming handler: yields staged status during the real agent phases
-    (deciding -> searching -> scoring -> final cards+map+timeline). Falls back
-    to the deterministic parser if Nemotron is unavailable or hedges.
-    """
-    yield _progress_html("Reading your trip request…")
-
-    agent = None
-    if USE_AGENT:
-        try:
-            agent = MatchDayAgent()
-        except Exception as exc:
-            logger.warning("agent init failed (%s); deterministic path.", exc)
-
-    # Round 1 — Nemotron decides which tool to call.
-    r1: dict = {"tool_calls": []}
-    if agent is not None:
-        yield _progress_html("🤖 Nemotron is choosing your best options…")
-        try:
-            r1 = await agent.run([{"role": "user", "content": user_text}])
-        except Exception as exc:
-            logger.warning("agent round 1 failed (%s).", exc)
-            r1 = {"tool_calls": []}
-
-    # Resolve a validated trip: Nemotron's args first, then deterministic parse.
-    tool_calls = r1.get("tool_calls") or []
-    trip: TripRequest | None = None
-    if tool_calls and tool_calls[0].get("name") == "build_trip_packages":
-        try:
-            trip = _args_to_trip(
-                BuildTripPackagesArgs.model_validate(tool_calls[0].get("arguments", {}))
-            )
-        except Exception:
-            trip = None
-    if trip is None:
-        parsed = parse_intent(user_text)
-        if parsed.trip_request is not None:
-            trip = parsed.trip_request
-
-    if trip is None:
-        clarify_q = ""
-        if tool_calls and tool_calls[0].get("name") == "clarify":
-            clarify_q = tool_calls[0].get("arguments", {}).get("question", "")
-        if not clarify_q:
-            clarify_q = parse_intent(user_text).question
-        yield _clarify_html(
-            clarify_q or "Tell me where you're flying from and which match you want to see."
-        )
-        return
-
-    green = _greenlight_html(trip.summary())
-    yield green + _progress_html(
-        "✈️ Scanning airlines · 🏨 Finding hotels near BC Place · 🌤️ Checking the match-day forecast…"
-    )
-    try:
-        result = await build_trip_packages(trip)
-    except Exception as exc:
-        yield green + f'<div style="color:#991b1b;padding:12px">⚠️ {exc}</div>'
-        return
-
-    yield green + _progress_html("🗺️ Scoring 3 packages · Nemotron is writing your comparison…")
-    explanation = ""
-    if agent is not None:
-        explanation = await _agent_explain(agent, user_text, trip, result)
+import os
+import sys
+from pathlib import Path
 
-    yield green + render_full(result, trip) + (_explain_html(explanation) if explanation else "")
+# Make the repo root importable so `import app` resolves to the root entry no
+# matter the current working directory.
+_REPO_ROOT = Path(__file__).resolve().parent.parent
+if str(_REPO_ROOT) not in sys.path:
+    sys.path.insert(0, str(_REPO_ROOT))
 
+# Import the canonical smart entry (repo-root app.py). Its module name (`app`)
+# differs from this file's (`matchday.app`), so there is no collision.
+import app as _root_app  # noqa: E402
 
-with gr.Blocks(title="MatchDay — FIFA World Cup Vancouver") as demo:
-    gr.HTML(_HEADER)
-    with gr.Row():
-        user_input = gr.Textbox(
-            label="Tell me about your trip",
-            placeholder="e.g. Flying from Montreal, want Canada vs Qatar, mid-range, June 26-29, just me",
-            lines=2,
-            value=_EXAMPLES[0],
-            scale=4,
-        )
-        plan_btn = gr.Button("🏈 Plan my trip", variant="primary", scale=1)
-    output = gr.HTML(label="Your trip packages")
-    gr.Examples(examples=_EXAMPLES, inputs=user_input)
-    plan_btn.click(fn=plan_trip, inputs=user_input, outputs=output)
-    user_input.submit(fn=plan_trip, inputs=user_input, outputs=output)
+# Re-export the gradio.Server app so `from matchday.app import app` keeps working.
+app = _root_app.app
 
 
 if __name__ == "__main__":
-    demo.launch()
+    app.launch(server_port=int(os.environ.get("PORT", "7860")), show_error=True)

matchday/record_trace.py

@@ -1,12 +1,21 @@
 """Record a MatchDay agent trace (Build Small "Sharing is Caring" badge).
 
-Runs one agentic trip-planning turn against the deployed Nemotron (Brain) +
-deterministic Python (Hands) and writes a JSONL trace of every step: the user
-message, Nemotron's tool-call decision, the executed tool result (with the
-scored packages + their provenance), and the final explanation. This is the
-artifact others can learn from. Publish it via ``publish_agent_trace.py`` once a
+Runs one agentic trip-planning turn through the SAME bounded agent loop the
+deployed Space uses — ``matchday.agent_loop.run_agent_loop`` — and writes a
+JSONL trace of every step: the user message, each agent round (understand →
+maybe ground via ``web_search`` → maybe ``clarify`` → call
+``build_trip_packages``), the executed tool result (scored packages +
+provenance + degradation), and the final explanation. This is the artifact
+others can learn from. Publish via ``publish_agent_trace.py`` once a
 write-scoped HF token is available.
 
+This is the honest path: the trace is produced by ``run_agent_loop`` (validate
+→ dedup → self-correct → ground → build), NOT by a single-shot tool-picking
+inference call. For a clear request the agent decides ``build_trip_packages``
+in round 1; for an ambiguous request it ``clarify``-asks; for a factual
+question it grounds with ``web_search`` — all of which the single-shot bypass
+could not represent, so none of that is reproduced here.
+
 Usage:
     python3 -m matchday.record_trace "<query>" [out.jsonl]
 """
@@ -15,11 +24,11 @@ from __future__ import annotations
 import asyncio
 import json
 import sys
-from datetime import date, datetime, timezone
+from datetime import datetime, timezone
 from pathlib import Path
 
 from matchday.agent import MatchDayAgent
-from matchday.agent_loop import BuildTripPackagesArgs
+from matchday.agent_loop import run_agent_loop
 from matchday.intent import parse_intent
 from matchday.models import TripRequest
 from matchday.prompts import EXPLANATION_HINT
@@ -30,18 +39,6 @@ def _ts() -> str:
     return datetime.now(timezone.utc).isoformat()
 
 
-def _args_to_trip(a: BuildTripPackagesArgs) -> TripRequest:
-    return TripRequest(
-        origin_airport=a.origin_airport,
-        match_name=a.match_name or "the match",
-        match_date=date.fromisoformat(a.match_date),
-        check_in=date.fromisoformat(a.check_in),
-        check_out=date.fromisoformat(a.check_out),
-        travelers=a.travelers,
-        budget_tier=a.budget_tier,
-    )
-
-
 def _packages_view(result) -> list[dict]:
     return [
         {
@@ -58,61 +55,138 @@ def _packages_view(result) -> list[dict]:
     ]
 
 
+async def _explain(agent, user_text: str, trip: TripRequest, result) -> str:
+    """Final round — Nemotron compares the packages. Mirrors app._agent_explain."""
+    if trip is None:
+        return ""
+    args_json = json.dumps(trip.model_dump(mode="json"))
+    convo = [
+        {"role": "user", "content": user_text},
+        {
+            "role": "assistant",
+            "content": "",
+            "tool_calls": [{
+                "id": "call_build",
+                "type": "function",
+                "function": {"name": "build_trip_packages", "arguments": args_json},
+            }],
+        },
+        {
+            "role": "tool",
+            "tool_call_id": "call_build",
+            "name": "build_trip_packages",
+            "content": format_for_nemotron(result),
+        },
+        {"role": "user", "content": EXPLANATION_HINT},
+    ]
+    try:
+        r = await agent.run(convo, tools=[])  # no tools → Nemotron must write text
+        return (r.get("text") or "").strip()
+    except Exception as exc:  # noqa: BLE001 — best-effort, must not abort the trace
+        return f"(explanation round failed: {exc})"
+
+
 async def record(query: str, out_path: str) -> None:
     agent = MatchDayAgent()
     trace: list[dict] = []
     log = lambda **e: trace.append({"ts": _ts(), **e})  # noqa: E731
 
     log(event="user", content=query)
-    base = [{"role": "user", "content": query}]
-    r1 = await agent.run(base)
-    tool_calls = r1.get("tool_calls") or []
     log(
-        event="nemotron_decision",
-        tool_calls=tool_calls,
-        text=(r1.get("text") or "")[:240],
+        event="agent_path",
+        entry="run_agent_loop",
+        note="bounded agent loop the deployed Space uses: understand -> ground/clarify -> build",
     )
 
+    # ── Smart path: the bounded agent loop (mirrors app.plan_trip). Nemotron
+    # UNDERSTANDS the request, may GROUND with web_search, may CLARIFY, and
+    # calls build_trip_packages when ready. The loop validates args, dedups,
+    # and self-corrects one malformed call. No single-shot bypass.
+    messages: list[dict] = [{"role": "user", "content": query}]
     trip: TripRequest | None = None
-    if tool_calls and tool_calls[0].get("name") == "build_trip_packages":
-        try:
-            trip = _args_to_trip(BuildTripPackagesArgs.model_validate(tool_calls[0].get("arguments", {})))
-        except Exception:
-            trip = None
-    if trip is None:
+    result = None
+    agent_text = ""
+
+    for attempt in range(3):  # cap grounding rounds (web_search -> build)
+        res = await run_agent_loop(agent, messages)
+        log(
+            event="agent_round",
+            attempt=attempt,
+            outcome=res.type,
+            tool=res.tool or None,
+            reason=res.reason or None,
+            text=(res.text or "")[:240],
+        )
+
+        if res.type == "tool_called" and res.tool == "build_trip_packages":
+            result = res.result.get("full_result")
+            trip = res.result.get("trip")
+            break
+
+        if res.type == "tool_called" and res.tool == "web_search":
+            # Brain grounded itself — thread the result back so it can build.
+            tcid = f"call_ws_{attempt}"
+            messages.append({
+                "role": "assistant", "content": "",
+                "tool_calls": [{
+                    "id": tcid, "type": "function",
+                    "function": {
+                        "name": "web_search",
+                        "arguments": json.dumps(res.result.get("query") or {}),
+                    },
+                }],
+            })
+            messages.append({
+                "role": "tool", "tool_call_id": tcid, "name": "web_search",
+                "content": json.dumps(res.result, ensure_ascii=False)[:1200],
+            })
+            log(event="agent_grounded", tool="web_search", query=res.result.get("query"))
+            continue
+
+        if res.type == "final_answer":
+            agent_text = res.text or ""
+            break
+
+        # fallback_to_deterministic — record it HONESTLY, never silently swap.
+        break
+
+    # ── Deterministic fallback (mirrors app.plan_trip degrade path). Used when
+    # the loop fell back (e.g. Modal cold-start timeout) or produced no build.
+    if result is None and not agent_text:
         parsed = parse_intent(query)
-        if parsed.trip_request is not None:
-            trip = parsed.trip_request
-            log(event="deterministic_fallback", trip=parsed.trip_request.summary())
-    if trip is None:
-        log(event="clarify", question=parse_intent(query).question)
-    else:
-        result = await build_trip_packages(trip)
+        trip = parsed.trip_request
+        if trip is not None:
+            log(event="deterministic_build", trip=trip.summary())
+            try:
+                result = await build_trip_packages(trip)
+            except Exception as exc:  # noqa: BLE001
+                log(event="deterministic_build_error", error=str(exc))
+        else:
+            agent_text = (
+                parsed.question
+                or "Tell me where you're flying from and which match you want to see."
+            )
+
+    # ── Record the outcome.
+    if result is not None:
         log(
             event="tool_result",
             tool="build_trip_packages",
-            trip=trip.summary(),
+            trip=trip.summary() if trip else None,
             status=result.status,
             degradation=result.degradation_notices,
             packages=_packages_view(result),
             compact=format_for_nemotron(result),
         )
-        convo = [
-            base[0],
-            {
-                "role": "assistant",
-                "content": "",
-                "tool_calls": [{
-                    "id": "call_build",
-                    "type": "function",
-                    "function": {"name": "build_trip_packages", "arguments": json.dumps(trip.model_dump(mode="json"))},
-                }],
-            },
-            {"role": "tool", "tool_call_id": "call_build", "name": "build_trip_packages", "content": format_for_nemotron(result)},
-            {"role": "user", "content": EXPLANATION_HINT},
-        ]
-        r2 = await agent.run(convo, tools=[])
-        log(event="nemotron_explanation", text=r2.get("text") or "")
+        explanation = await _explain(agent, query, trip, result)
+        log(event="nemotron_explanation", text=explanation)
+    elif agent_text:
+        log(event="agent_answer", text=agent_text)
+    else:
+        log(
+            event="no_packages",
+            reason="agent loop + deterministic fallback produced no packages",
+        )
 
     out = Path(out_path)
     out.parent.mkdir(parents=True, exist_ok=True)

matchday/traces/session_001.jsonl

@@ -1,4 +1,5 @@
-{"ts": "2026-06-14T06:00:58.930615+00:00", "event": "user", "content": "Flying from Montreal, want Canada vs Qatar, mid-range, June 26-29, just me"}
-{"ts": "2026-06-14T06:04:55.078756+00:00", "event": "nemotron_decision", "tool_calls": [{"name": "build_trip_packages", "arguments": {"origin_airport": "YUL", "check_out": "2026-06-29", "check_in": "2026-06-26", "match_name": "Canada vs Qatar", "match_date": "2026-06-26", "budget_tier": "mid_range", "travelers": 1}, "id": "call_20bef97cf4a04a64a0865288"}], "text": "\n"}
-{"ts": "2026-06-14T06:05:07.290104+00:00", "event": "tool_result", "tool": "build_trip_packages", "trip": "YUL -> Vancouver, 2026-06-26 to 2026-06-29, mid_range budget, 1 traveler, watching Canada vs Qatar on 2026-06-26.", "status": "complete", "degradation": ["Photos unavailable"], "packages": [{"label": "Closest to Stadium", "total_cost_cad": 1122.0, "flight": "Flair Airlines F8 107 (lands 11:00)", "hotel": "Moda Hotel", "provenance": {"flight": "serpapi", "hotel": "serpapi"}}, {"label": "Cheapest", "total_cost_cad": 901.0, "flight": "Flair Airlines F8 107 (lands 11:00)", "hotel": "Hotel At The Waldorf", "provenance": {"flight": "serpapi", "hotel": "serpapi"}}, {"label": "Safest Arrival", "total_cost_cad": 1202.0, "flight": "Air Canada AC 303 (lands 10:45)", "hotel": "Moda Hotel", "provenance": {"flight": "serpapi", "hotel": "serpapi"}}], "compact": "STATUS: complete | 1 degradation(s) | 3 package(s) scored\n  DEGRADATION: Photos unavailable\n#1 Closest to Stadium   | $1,122.00 CAD | Flight Flair Airlines F8 107 lands 11:00 from YUL (source=serpapi) | Hotel Moda Hotel 0.354km to BC Place 3.8\u2605 (source=serpapi) | +8.0h buffer | 4 min walk | rain risk 39%\n#2 Cheapest             | $901.00 CAD | Flight Flair Airlines F8 107 lands 11:00 from YUL (source=serpapi) | Hotel Hotel At The Waldorf 3.367km to BC Place 3.6\u2605 (source=serpapi) | +8.0h buffer | 40 min walk | rain risk 39%\n#3 Safest Arrival       | $1,202.00 CAD | Flight Air Canada AC 303 lands 10:45 from YUL (source=serpapi) | Hotel Moda Hotel 0.354km to BC Place 3.8\u2605 (source=serpapi) | +8.2h buffer | 4 min walk | rain risk 39%"}
-{"ts": "2026-06-14T06:05:10.956201+00:00", "event": "nemotron_explanation", "text": "#1 Closest to Stadium | $1,122.00 CAD | Airline: Flair Airlines | Arrival: 11:00 | Hotel: Moda Hotel | Distance: 0.354km | Weather: rain risk 39% (example: \"rain risk 39%\")  \n#2 Cheapest | $901.00 CAD | Airline: Flair Airlines | Arrival: 11:00 | Hotel: Hotel At The Waldorf | Distance: 3.367km | Weather: rain risk 39% (example: \"rain risk 39%\")  \n#3 Safest Arrival | $1,202.00 CAD | Airline: Air Canada | Arrival: 10:45 | Hotel: Moda Hotel | Distance: 0.354km | Weather: rain risk 39% (example: \"rain risk 39%\")  \n**Recommendation:** Choose #2 Cheapest for lowest cost with reliable arrival timing."}
+{"ts": "2026-06-14T23:04:15.400506+00:00", "event": "user", "content": "Flying from Montreal, want Canada vs Qatar, mid-range, June 26-29, just me"}
+{"ts": "2026-06-14T23:04:15.401159+00:00", "event": "agent_path", "entry": "run_agent_loop", "note": "bounded agent loop the deployed Space uses: understand -> ground/clarify -> build"}
+{"ts": "2026-06-14T23:08:19.519551+00:00", "event": "agent_round", "attempt": 0, "outcome": "tool_called", "tool": "build_trip_packages", "reason": null, "text": ""}
+{"ts": "2026-06-14T23:08:19.519695+00:00", "event": "tool_result", "tool": "build_trip_packages", "trip": "YUL -> Vancouver, 2026-06-26 to 2026-06-29, mid_range budget, 1 traveler, watching Canada vs Qatar on 2026-06-26.", "status": "complete", "degradation": ["Photos unavailable"], "packages": [{"label": "Cheapest", "total_cost_cad": 910.0, "flight": "Porter Airlines PD 102 (lands 08:13)", "hotel": "Hotel At The Waldorf", "provenance": {"flight": "serpapi", "hotel": "serpapi"}}, {"label": "Safest Arrival", "total_cost_cad": 1289.0, "flight": "Porter Airlines PD 102 (lands 08:13)", "hotel": "Quality Inn & Suites Downtown Vancouver", "provenance": {"flight": "serpapi", "hotel": "serpapi"}}, {"label": "Closest to Stadium", "total_cost_cad": 1376.0, "flight": "Porter Airlines PD 102 (lands 08:13)", "hotel": "Best Western Premier Chateau Granville Hotel & Suites & Conf. Centre", "provenance": {"flight": "serpapi", "hotel": "serpapi"}}], "compact": "STATUS: complete | 1 degradation(s) | 3 package(s) scored\n  DEGRADATION: Photos unavailable\n#1 Cheapest             | $910.00 CAD | Flight Porter Airlines PD 102 lands 08:13 from YUL (source=serpapi) | Hotel Hotel At The Waldorf 3.367km to BC Place 3.6\u2605 (source=serpapi) | +10.8h buffer | 40 min walk | rain risk 36%\n#2 Safest Arrival       | $1,289.00 CAD | Flight Porter Airlines PD 102 lands 08:13 from YUL (source=serpapi) | Hotel Quality Inn & Suites Downtown Vancouver 0.774km to BC Place 4.4\u2605 (source=serpapi) | +10.8h buffer | 9 min walk | rain risk 36%\n#3 Closest to Stadium   | $1,376.00 CAD | Flight Porter Airlines PD 102 lands 08:13 from YUL (source=serpapi) | Hotel Best Western Premier Chateau Granville Hotel & Suites & Conf. Centre 0.615km to BC Place 4.2\u2605 (source=serpapi) | +10.8h buffer | 7 min walk | rain risk 36%"}
+{"ts": "2026-06-14T23:08:22.230251+00:00", "event": "nemotron_explanation", "text": "**Package #1 \u2013 Cheapest**  \n- **Price:** $910.00 CAD  \n- **Flight:** Porter Airlines\u202fPD\u202f102 arriving\u202f08:13  \n- **Hotel:** Hotel At The Waldorf \u2013 3.367\u202fkm to BC\u202fPlace (example data)  \n- **Weather:** rain risk\u202f36% (example data)  \n\n**Package #2 \u2013 Safest Arrival**  \n- **Price:** $1,289.00 CAD  \n- **Flight:** Porter Airlines\u202fPD\u202f102 arriving\u202f08:13  \n- **Hotel:** Quality Inn & Suites Downtown Vancouver \u2013 0.774\u202fkm to BC\u202fPlace  \n- **Weather:** rain risk\u202f36% (example data)  \n\n**Package #3 \u2013 Closest to Stadium**  \n- **Price:** $1,376.00 CAD  \n- **Flight:** Porter Airlines\u202fPD\u202f102 arriving\u202f08:13  \n- **Hotel:** Best Western Premier Chateau Granville Hotel & Suites & Conf. Centre \u2013 0.615\u202fkm to BC\u202fPlace  \n- **Weather:** rain risk\u202f36% (example data)  \n\n**Recommendation:** Choose Package\u202f#2 for a mid\u2011range balance of price, proximity, and a safe arrival."}

matchday/traces/session_002.jsonl

@@ -1,4 +1,4 @@
-{"ts": "2026-06-14T07:34:21.351040+00:00", "event": "user", "content": "Flying from Montreal, want Canada vs Qatar, mid-range, June 26-29, just me"}
-{"ts": "2026-06-14T07:34:23.270034+00:00", "event": "nemotron_decision", "tool_calls": [{"name": "build_trip_packages", "arguments": {"origin_airport": "YUL", "check_out": "2026-06-29", "travelers": 1, "match_name": "Canada vs Qatar", "check_in": "2026-06-26", "match_date": "2026-06-26", "budget_tier": "mid_range"}, "id": "call_23bd47a30d7142bea872ebcd"}], "text": "\n"}
-{"ts": "2026-06-14T07:34:32.652222+00:00", "event": "tool_result", "tool": "build_trip_packages", "trip": "YUL -> Vancouver, 2026-06-26 to 2026-06-29, mid_range budget, 1 traveler, watching Canada vs Qatar on 2026-06-26.", "status": "complete", "degradation": ["Photos unavailable"], "packages": [{"label": "Cheapest", "total_cost_cad": 1525.0, "flight": "Air Canada AC 301 (lands 09:56)", "hotel": "Moda Hotel", "provenance": {"flight": "serpapi", "hotel": "serpapi"}}, {"label": "Safest Arrival", "total_cost_cad": 1676.0, "flight": "Air Canada AC 301 (lands 09:56)", "hotel": "Quality Inn & Suites Downtown Vancouver", "provenance": {"flight": "serpapi", "hotel": "serpapi"}}, {"label": "Closest to Stadium", "total_cost_cad": 1776.0, "flight": "Air Canada AC 301 (lands 09:56)", "hotel": "Century Plaza Hotel", "provenance": {"flight": "serpapi", "hotel": "serpapi"}}], "compact": "STATUS: complete | 1 degradation(s) | 3 package(s) scored\n  DEGRADATION: Photos unavailable\n#1 Cheapest             | $1,525.00 CAD | Flight Air Canada AC 301 lands 09:56 from YUL (source=serpapi) | Hotel Moda Hotel 0.354km to BC Place 3.8\u2605 (source=serpapi) | +9.1h buffer | 4 min walk | rain risk 32%\n#2 Safest Arrival       | $1,676.00 CAD | Flight Air Canada AC 301 lands 09:56 from YUL (source=serpapi) | Hotel Quality Inn & Suites Downtown Vancouver 0.774km to BC Place 4.4\u2605 (source=serpapi) | +9.1h buffer | 9 min walk | rain risk 32%\n#3 Closest to Stadium   | $1,776.00 CAD | Flight Air Canada AC 301 lands 09:56 from YUL (source=serpapi) | Hotel Century Plaza Hotel 0.506km to BC Place 4\u2605 (source=serpapi) | +9.1h buffer | 6 min walk | rain risk 32%"}
-{"ts": "2026-06-14T07:34:34.606225+00:00", "event": "nemotron_explanation", "text": "Package 1: Cheapest | $1,525.00 CAD | Air Canada AC 301 arrives 09:56 | Hotel Moda Hotel 0.354km to BC Place (example: 3.8\u2605) | rain risk 32%  \nPackage 2: Safest Arrival | $1,676.00 CAD | Air Canada AC 301 arrives 09:56 | Hotel Quality Inn & Suites Downtown Vancouver 0.774km to BC Place | rain risk 32%  \nPackage 3: Closest to Stadium | $1,776.00 CAD | Air Canada AC 301 arrives 09:56 | Hotel Century Plaza Hotel 0.506km to BC Place | rain risk 32%  \nRecommendation: Choose Package 1 for the lowest cost with a short walk to the stadium."}
+{"ts": "2026-06-14T23:10:27.843275+00:00", "event": "user", "content": "I want to fly from Toronto to see Brazil vs Germany, premium, 2 adults"}
+{"ts": "2026-06-14T23:10:27.843852+00:00", "event": "agent_path", "entry": "run_agent_loop", "note": "bounded agent loop the deployed Space uses: understand -> ground/clarify -> build"}
+{"ts": "2026-06-14T23:10:29.126410+00:00", "event": "agent_round", "attempt": 0, "outcome": "final_answer", "tool": null, "reason": null, "text": "Flying from Toronto (YYZ) to see Brazil vs Germany match at BC Place, premium budget tier, for 2 adults\u2014what travel dates are you considering?"}
+{"ts": "2026-06-14T23:10:29.126427+00:00", "event": "agent_answer", "text": "Flying from Toronto (YYZ) to see Brazil vs Germany match at BC Place, premium budget tier, for 2 adults\u2014what travel dates are you considering?"}