Add question, correct answer, and accuracy to Selected Tools tab

Backend loads new columns from HF datasets (question, correct_answer, correct).
Frontend shows: question + answer in header, accuracy % in stats banner,
correct/incorrect badges (✓/✗) on sidebar items and header.
Rationale and selected steps now hidden when empty (new-format datasets).

backend/api/selected_tools.py

@@ -96,7 +96,7 @@ def _load(variant: str) -> list:
                 sel_idx = []
         rows.append({
             "query_id": str(row["query_id"]),
-            "rationale": row["rationale"],
+            "rationale": row.get("rationale") or "",
             "selected_indices": sel_idx,
             "k_requested": int(row["k_requested"]),
             "k_effective": int(row["k_effective"]),
@@ -106,6 +106,9 @@ def _load(variant: str) -> list:
             "tool_call_counts": tool_counts,
             "total_tool_calls": total_tool_calls,
             "status": row["status"],
+            "question": row.get("question") or "",
+            "correct_answer": row.get("correct_answer") or "",
+            "correct": row.get("correct"),  # None if not available
         })
     _cache[variant] = rows
     return rows

build_all_sel_tools_test300_v2.sh

@@ -0,0 +1,37 @@
+#!/bin/bash
+set -e
+
+export HF_HOME=/scratch/hc3337/.cache/huggingface
+
+PYTHON=/scratch/hc3337/envs/raca-py312/bin/python
+SCRIPT=/scratch/hc3337/projects/BrowseComp-Plus/scripts/build_selected_tools_from_traj.py
+RUN_BASE=/scratch/hc3337/projects/BrowseComp-Plus/runs/bcp/Qwen3-Embedding-8B/test300/gpt-oss-120b
+EVAL_BASE=/scratch/hc3337/projects/BrowseComp-Plus/evals/bcp/Qwen3-Embedding-8B/test300/gpt-oss-120b
+
+build() {
+  KEY=$1
+  RUN_DIR=$RUN_BASE/$2
+  EVAL_DIR=$EVAL_BASE/$2
+  REPO=timchen0618/browsecomp-plus-sel-tools-test300-${KEY}-v1
+  echo "[$(date -u +%H:%M:%S)] Building ${KEY} -> ${REPO}"
+  $PYTHON $SCRIPT \
+    --run-dir "$RUN_DIR" \
+    --eval-dir "$EVAL_DIR" \
+    --push-to-hub "$REPO" \
+    --commit-message "Add question/answer/correct: ${KEY}" 2>&1
+  echo "[$(date -u +%H:%M:%S)] Done: ${KEY}"
+}
+
+build gpt-oss-120b            traj_summary_orig_ext_selected_tools_gpt-oss-120b_seed0
+build gpt-oss-120b-less-chars traj_summary_orig_ext_selected_tools_gpt-oss-120b_seed0_less_chars
+build gemini-2p5-pro          traj_summary_orig_ext_selected_tools_gpt-oss-120b_gemini-2.5-pro_1_seed0
+build gemini-3p1-pro          traj_summary_orig_ext_selected_tools_gpt-oss-120b_gemini_3.1-pro-preview_seed0
+build random-seed0            traj_summary_orig_ext_selected_tools_random_seed0_gpt-oss-120b_seed0
+build random-seed1            traj_summary_orig_ext_selected_tools_random_seed1_gpt-oss-120b_seed0
+build random-seed3            traj_summary_orig_ext_selected_tools_random_seed3_gpt-oss-120b_seed0
+build random-seed4            traj_summary_orig_ext_selected_tools_random_seed4_gpt-oss-120b_seed0
+build random-seed5            traj_summary_orig_ext_selected_tools_random_seed5_gpt-oss-120b_seed0
+build random-seed6            traj_summary_orig_ext_selected_tools_random_seed6_gpt-oss-120b_seed0
+build random-seed7            traj_summary_orig_ext_selected_tools_random_seed7_gpt-oss-120b_seed0
+
+echo "ALL DONE at $(date -u)"

build_selected_tools_from_traj_v2.py

@@ -0,0 +1,272 @@
+#!/usr/bin/env python3
+"""
+Build a Selected Tools HF dataset by extracting excerpts directly from the
+<trajectory_summary> tag embedded in each run file's user message.
+
+Now supports --eval-dir to join with evaluation results (question, correct_answer, correct).
+
+No JSONL file required — works for any traj_summary_orig_ext_selected_tools_* dir.
+
+Output columns (compatible with selected_tools.py backend):
+  query_id, excerpt, new_trajectory, status, tool_call_counts,
+  rationale, selected_indices, k_requested, k_effective, direct_answer,
+  question, correct_answer, correct
+
+Requires: pip install 'datasets>=2.14'
+Python env: /scratch/hc3337/envs/raca-py312/bin/python
+"""
+
+from __future__ import annotations
+import argparse, json, re, sys
+from pathlib import Path
+from typing import Any
+
+
+# ── Trajectory formatter (same as build_scout_runs_dataset.py) ────────────────
+
+def _parse_tool_call_block(text: str) -> str:
+    rest = text[len("[Tool call]"):].lstrip()
+    newline_idx = rest.find("\n")
+    if newline_idx >= 0:
+        tool_name = rest[:newline_idx].strip()
+        body = rest[newline_idx + 1:].strip()
+    else:
+        tool_name = rest.strip()
+        body = ""
+    if body.lower().startswith("arguments:\n"):
+        body = body[len("arguments:\n"):]
+    result_part = ""
+    for marker in ("\n\n[Tool result]:\n", "\n[Tool result]:\n"):
+        if marker in body:
+            args_part, result_part = body.split(marker, 1)
+            body = args_part
+            break
+    block = f"[Tool Call: {tool_name}]\n{body.strip()}"
+    if result_part:
+        block += f"\n\n[Tool Result]\n{result_part.strip()}"
+    return block
+
+
+def _split_reasoning_text(text: str) -> list[tuple[str, str]]:
+    parts = re.split(r"(?m)(?=^\[Tool call\])", text, flags=re.MULTILINE)
+    out: list[tuple[str, str]] = []
+    for part in parts:
+        part = part.strip()
+        if not part:
+            continue
+        out.append(("tool_call" if part.startswith("[Tool call]") else "reasoning", part))
+    return out
+
+
+def format_new_trajectory(result: list[dict[str, Any]]) -> str:
+    blocks: list[str] = []
+    pending: list[str] = []
+
+    def flush():
+        if pending:
+            combined = "\n\n".join(t for t in pending if t.strip())
+            if combined.strip():
+                blocks.append(f"[Reasoning]\n{combined.strip()}")
+            pending.clear()
+
+    for item in result:
+        item_type = item.get("type", "")
+        output = item.get("output", "")
+        if item_type == "user":
+            continue
+        text = "\n".join(str(s) for s in output) if isinstance(output, list) else str(output)
+        text = text.strip()
+        if not text:
+            continue
+        if item_type == "reasoning":
+            for sub_type, sub_text in _split_reasoning_text(text):
+                if sub_type == "tool_call":
+                    flush()
+                    blocks.append(_parse_tool_call_block(sub_text))
+                else:
+                    pending.append(sub_text)
+        elif item_type == "tool_call":
+            flush()
+            tool_name = str(item.get("tool_name") or "unknown")
+            args = str(item.get("arguments") or "").strip()
+            block = f"[Tool Call: {tool_name}]\n{args}"
+            if text:
+                block += f"\n\n[Tool Result]\n{text}"
+            blocks.append(block)
+        elif item_type == "output_text":
+            flush()
+            blocks.append(f"[Final Answer]\n{text}")
+        else:
+            flush()
+            blocks.append(text)
+    flush()
+    return "\n\n---\n\n".join(blocks)
+
+
+def extract_trajectory_summary(user_text: str) -> str:
+    """Extract raw content between <trajectory_summary> tags.
+    Takes the LAST match — the first is an empty demonstration in the prompt preamble.
+    """
+    matches = re.findall(r"<trajectory_summary>(.*?)</trajectory_summary>", user_text, re.DOTALL)
+    if not matches:
+        return ""
+    return matches[-1].strip()
+
+
+# ── Eval data loading ─────────────────────────────────────────────────────────
+
+def load_eval_data(eval_dir: Path) -> dict[str | int, dict]:
+    """Load eval files and return query_id -> {question, correct_answer, correct}."""
+    eval_map: dict[str | int, dict] = {}
+    for p in eval_dir.glob("*_eval.json"):
+        try:
+            d = json.load(p.open("r", encoding="utf-8"))
+            qid_raw = str(d.get("query_id", "")).strip()
+            qid: str | int = int(qid_raw) if qid_raw.isdigit() else qid_raw
+            judge_result = d.get("judge_result") or {}
+            correct_val = judge_result.get("correct")
+            eval_map[qid] = {
+                "question": str(d.get("question") or ""),
+                "correct_answer": str(d.get("correct_answer") or ""),
+                "correct": bool(correct_val) if correct_val is not None else None,
+            }
+        except Exception as e:
+            print(f"warning: skipping {p.name}: {e}", file=sys.stderr)
+    print(f"Loaded {len(eval_map)} eval entries from {eval_dir}", file=sys.stderr)
+    return eval_map
+
+
+# ── Run file loading ──────────────────────────────────────────────────────────
+
+def _coerce_query_id(qid: str) -> int | str:
+    s = str(qid).strip()
+    return int(s) if s.isdigit() else s
+
+
+def _sort_key(qid: int | str) -> tuple[int, str]:
+    s = str(qid).strip()
+    return (0, f"{int(s):010d}") if s.isdigit() else (1, s)
+
+
+def build_rows(run_dir: Path, strict: bool,
+               eval_map: dict | None = None) -> list[dict[str, Any]]:
+    rows = []
+    files = sorted(run_dir.glob("run_*.json"))
+    if not files:
+        raise FileNotFoundError(f"No run_*.json under {run_dir}")
+
+    for p in files:
+        d = json.load(p.open("r", encoding="utf-8"))
+        qid = _coerce_query_id(str(d.get("query_id", "")).strip())
+
+        result = d.get("result", [])
+
+        # extract user message
+        user_text = ""
+        for item in result:
+            if item.get("type") == "user":
+                out = item.get("output", "")
+                user_text = "\n".join(str(s) for s in out) if isinstance(out, list) else str(out)
+                break
+
+        excerpt = extract_trajectory_summary(user_text)
+        if not excerpt:
+            msg = f"{p.name}: no <trajectory_summary> content found"
+            if strict:
+                raise ValueError(msg)
+            print(f"warning: skip {msg}", file=sys.stderr)
+            continue
+
+        tc_raw = d.get("tool_call_counts") or {}
+        tc = {str(k): int(v) for k, v in tc_raw.items() if v is not None}
+
+        # Join with eval data if available
+        eval_entry = (eval_map or {}).get(qid, {})
+        question = eval_entry.get("question", "")
+        correct_answer = eval_entry.get("correct_answer", "")
+        correct = eval_entry.get("correct", None)
+
+        rows.append({
+            "query_id": qid,
+            "excerpt": excerpt,
+            "new_trajectory": format_new_trajectory(result),
+            "status": str(d.get("status", "")),
+            "tool_call_counts": json.dumps(tc, sort_keys=True),
+            # JSONL-derived fields — not available, set compatible defaults
+            "rationale": "",
+            "selected_indices": "[]",
+            "k_requested": 0,
+            "k_effective": 0,
+            "direct_answer": False,
+            # Eval fields
+            "question": question,
+            "correct_answer": correct_answer,
+            "correct": correct,
+        })
+
+    rows.sort(key=lambda r: _sort_key(str(r["query_id"])))
+    return rows
+
+
+def main():
+    ap = argparse.ArgumentParser(
+        description="Build Selected Tools HF dataset from <trajectory_summary> in run files."
+    )
+    ap.add_argument("--run-dir", type=Path, required=True,
+                    help="Directory of run_*.json files.")
+    ap.add_argument("--eval-dir", type=Path, default=None,
+                    help="Directory of *_eval.json files with question/correct_answer/judge_result.")
+    ap.add_argument("--no-strict", action="store_true",
+                    help="Skip files missing <trajectory_summary> instead of erroring.")
+    ap.add_argument("--output", type=Path,
+                    help="Output path (.parquet, .jsonl, .json).")
+    ap.add_argument("--push-to-hub", metavar="REPO_ID",
+                    help="Push to HuggingFace Hub.")
+    ap.add_argument("--split", default="train")
+    ap.add_argument("--commit-message",
+                    default="Update dataset from build_selected_tools_from_traj.py")
+    args = ap.parse_args()
+
+    if not args.output and not args.push_to_hub:
+        print("Error: --output or --push-to-hub required", file=sys.stderr)
+        sys.exit(2)
+
+    eval_map = None
+    if args.eval_dir:
+        eval_map = load_eval_data(args.eval_dir.resolve())
+
+    rows = build_rows(args.run_dir.resolve(), strict=not args.no_strict, eval_map=eval_map)
+
+    if args.output:
+        suf = args.output.suffix.lower()
+        if suf == ".jsonl":
+            with args.output.open("w") as f:
+                for row in rows:
+                    f.write(json.dumps(row, ensure_ascii=False) + "\n")
+        elif suf == ".json":
+            with args.output.open("w") as f:
+                json.dump(rows, f, ensure_ascii=False, indent=2)
+        elif suf == ".parquet":
+            from datasets import Dataset
+            Dataset.from_list(rows).to_parquet(str(args.output))
+        else:
+            print(f"Error: unsupported extension {suf!r}", file=sys.stderr)
+            sys.exit(2)
+
+    if args.push_to_hub:
+        from datasets import Dataset
+        ds = Dataset.from_list(rows)
+        ds.push_to_hub(args.push_to_hub, split=args.split,
+                       commit_message=args.commit_message)
+
+    correct_count = sum(1 for r in rows if r.get("correct") is True)
+    total_with_eval = sum(1 for r in rows if r.get("correct") is not None)
+    print(f"Wrote {len(rows)} rows. Columns: {list(rows[0].keys()) if rows else []}")
+    if total_with_eval:
+        print(f"Eval coverage: {total_with_eval}/{len(rows)} rows, {correct_count} correct ({100*correct_count//total_with_eval}%)")
+    if args.push_to_hub:
+        print(f"Pushed to {args.push_to_hub} (split {args.split!r}).")
+
+
+if __name__ == "__main__":
+    main()

frontend/dist/assets/{ModelApp-BeZukO0m.js → ModelApp-ByP0hVWF.js}

@@ -1,4 +1,4 @@
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frontend/dist/assets/{PlanRevisionsApp-C6iQwYC9.js → PlanRevisionsApp-Dm4VU5KS.js}

@@ -1,4 +1,4 @@
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frontend/dist/assets/{ScoutRunsApp-CjdPIJcI.js → ScoutRunsApp-BqSa3vbC.js}

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frontend/dist/assets/SelectedToolsApp-BXaKmpYg.js

@@ -0,0 +1,11 @@
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frontend/dist/assets/SelectedToolsApp-O2UtdiCF.js

@@ -1,11 +0,0 @@
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----
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v,k,_,S;const[r,t]=d.useState([]),[l,s]=d.useState(!0),[a,n]=d.useState(null),[i,p]=d.useState(0),[f,E]=d.useState(""),[b,q]=d.useState("gpt-oss");d.useEffect(()=>{s(!0),fetch("/api/sft-diff/").then(o=>{if(!o.ok)throw new Error(o.statusText);return o.json()}).then(o=>{t(o.rows),s(!1)}).catch(o=>{n(o.message),s(!1)})},[]);const w=d.useMemo(()=>{if(!f.trim())return r;const o=f.toLowerCase();return r.filter(x=>{var m,u,j,h;return x.query_id.toLowerCase().includes(o)||(((u=(m=x.messages_gpt)==null?void 0:m[0])==null?void 0:u.content)??((h=(j=x.messages_qwen)==null?void 0:j[0])==null?void 0:h.content)??"").toLowerCase().includes(o)})},[r,f]),c=w[i]??null,y=c?b==="qwen"?c.messages_qwen:c.messages_gpt:null,$=((k=(v=c==null?void 0:c.messages_gpt)==null?void 0:v[0])==null?void 0:k.content)??((S=(_=c==null?void 0:c.messages_qwen)==null?void 0:_[0])==null?void 0:S.content)??"";return l?e.jsx("div",{className:"h-full flex items-center justify-center text-gray-400",children:"Loading…"}):a?e.jsxs("div",{className:"h-full flex items-center justify-center text-red-400",children:["Error: ",a]}):e.jsxs("div",{className:"h-full flex overflow-hidden bg-gray-950 text-gray-100",children:[e.jsxs("div",{className:"w-60 shrink-0 flex flex-col border-r border-gray-800 bg-gray-900",children:[e.jsxs("div",{className:"px-2 py-1.5 border-b border-gray-800",children:[e.jsx("input",{type:"text",placeholder:"Search query ID or question…",value:f,onChange:o=>{E(o.target.value),p(0)},className:"w-full bg-gray-800 border border-gray-700 text-gray-200 text-xs rounded px-2 py-1.5 placeholder-gray-600"}),e.jsxs("div",{className:"text-[10px] text-gray-600 mt-1",children:[w.length," / ",r.length]})]}),e.jsx("div",{className:"flex-1 overflow-y-auto",children:w.map((o,x)=>{var h,L,O,C;const m=((L=(h=o.messages_gpt)==null?void 0:h[0])==null?void 0:L.content)??((C=(O=o.messages_qwen)==null?void 0:O[0])==null?void 0:C.content)??"",u=m.match(/Question:\s*([\s\S]{0,120})/),j=u?u[1].trim().replace(/\n/g," "):m.slice(0,80);return e.jsxs("button",{onClick:()=>p(x),className:`w-full text-left px-3 py-2 border-b border-gray-800/50 text-xs transition-colors ${i===x?"bg-blue-900/40 text-blue-200 border-l-2 border-l-blue-500":"text-gray-400 hover:bg-gray-800"}`,children:[e.jsxs("div",{className:"font-medium text-gray-200 mb-0.5",children:["#",o.query_id]}),e.jsx("div",{className:"text-[10px] text-gray-500 leading-snug line-clamp-2",children:j})]},o.query_id+x)})})]}),c?e.jsxs("div",{className:"flex-1 flex flex-col min-w-0 overflow-hidden",children:[e.jsx(D,{}),e.jsxs("div",{className:"flex-1 flex overflow-hidden min-w-0",children:[e.jsxs("div",{className:"flex-1 flex flex-col min-w-0 border-r border-gray-800 overflow-hidden",children:[e.jsxs("div",{className:"px-3 py-1.5 bg-gray-900/60 border-b border-gray-800 shrink-0",children:[e.jsx("span",{className:"text-[11px] font-semibold text-amber-400 uppercase tracking-widest",children:"Original"}),e.jsx("span",{className:"text-[10px] text-gray-500 ml-2",children:"excerpt field — raw JSON items"})]}),e.jsx("div",{className:"flex-1 overflow-y-auto p-3",children:e.jsx(T,{excerpt:c.excerpt,userContent:$})})]}),e.jsxs("div",{className:"flex-1 flex flex-col min-w-0 overflow-hidden",children:[e.jsxs("div",{className:"px-3 py-1.5 bg-gray-900/60 border-b border-gray-800 shrink-0 flex items-center",children:[e.jsx("span",{className:"text-[11px] font-semibold text-sky-400 uppercase tracking-widest",children:"Converted"}),e.jsx(B,{value:b,onChange:q}),y&&e.jsxs("span",{className:"text-[10px] text-gray-500 ml-2",children:[y.length," messages"]})]}),e.jsx("div",{className:"flex-1 overflow-y-auto p-3",children:y?e.jsx(G,{messages:y,template:b}):e.jsxs("div",{className:"text-gray-500 text-xs italic mt-4",children:["Not available for ",b," template."]})})]})]})]}):e.jsx("div",{className:"flex-1 flex items-center justify-center text-gray-500",children:"No record selected."})]})}export{P as default};

frontend/dist/assets/{TrajExtApp-CfgqCtlI.js → TrajExtApp-DjSZ_Kko.js}

@@ -1 +1 @@
-import{r as l,j as e}from"./index-Br9e1W0j.js";function S(r){try{return JSON.parse(r).map(o=>({type:["reasoning","tool_call","tool_result","final_answer"].includes(o.type)?o.type:"unknown",content:o.content}))}catch{return[]}}function T(r){if(!r||r==="(no trajectory steps)")return[];const n=[],o=r.split(/\n\n(?=\[(?:Reasoning\]:|Tool call\]|Tool result\]:|Final answer\]:))/);for(const d of o){const s=d.trim();s.startsWith("[Reasoning]:")?n.push({type:"reasoning",content:s.slice(12).trim()}):s.startsWith("[Tool call]")?n.push({type:"tool_call",content:s.slice(11).trim()}):s.startsWith("[Tool result]:")?n.push({type:"tool_result",content:s.slice(14).trim()}):s.startsWith("[Final answer]:")?n.push({type:"final_answer",content:s.slice(15).trim()}):s&&n.push({type:"unknown",content:s})}return n}const k={reasoning:{border:"border-purple-700",label:"Reasoning",labelColor:"text-purple-400",bg:"bg-purple-950/30"},tool_call:{border:"border-blue-700",label:"Tool Call",labelColor:"text-blue-400",bg:"bg-blue-950/30"},tool_result:{border:"border-gray-600",label:"Tool Result",labelColor:"text-gray-400",bg:"bg-gray-800/30"},final_answer:{border:"border-green-700",label:"Final Answer",labelColor:"text-green-400",bg:"bg-green-950/30"},unknown:{border:"border-gray-700",label:"—",labelColor:"text-gray-500",bg:""}};function C({row:r}){const n=l.useMemo(()=>r.trajectory_blocks?S(r.trajectory_blocks):T(r.trajectory_text),[r.trajectory_blocks,r.trajectory_text]);return n.length===0?e.jsx("div",{className:"text-gray-500 text-xs",children:"No trajectory steps."}):e.jsx("div",{className:"space-y-2",children:n.map((o,d)=>{const s=k[o.type];return e.jsxs("div",{className:`border-l-2 ${s.border} ${s.bg} pl-3 py-1 rounded-r`,children:[e.jsx("div",{className:`text-[10px] font-bold uppercase tracking-widest mb-1 ${s.labelColor}`,children:s.label}),e.jsx("pre",{className:"text-xs text-gray-300 whitespace-pre-wrap font-mono leading-relaxed",children:o.content})]},d)})})}const E={traj_ext:"Full Trajectory (Tags)",traj_orig_ext:"Full Trajectory (Original Messages)",traj_summary_ext:"Summary (Tags)",traj_summary_orig_ext:"Summary (Original Messages)",traj_summary_ext_selected_tools:"Selected Tools (Tags)",traj_summary_orig_ext_selected_tools:"Selected Tools (Original Messages)"},f=r=>E[r]??r,M=["trajectory","prompt","both"];function R(){const[r,n]=l.useState([]),[o,d]=l.useState(!0),[s,j]=l.useState(null),[b,p]=l.useState(0),[c,_]=l.useState("trajectory"),[u,N]=l.useState(""),[x,v]=l.useState("all"),[m,w]=l.useState({});l.useEffect(()=>{d(!0),fetch("/api/traj-ext/").then(t=>{if(!t.ok)throw new Error(t.statusText);return t.json()}).then(t=>{n(t.rows),d(!1)}).catch(t=>{j(t.message),d(!1)})},[]);const h=l.useMemo(()=>Array.from(new Set(r.map(i=>i.run_name??""))).filter(Boolean).sort(),[r]),y=l.useMemo(()=>{let t=r;if(x!=="all"&&(t=t.filter(g=>g.run_name===x)),!u.trim())return t;const i=u.toLowerCase();return t.filter(g=>g.query_id.includes(i)||g.question.toLowerCase().includes(i))},[r,u,x]),a=y[b]??null;return l.useEffect(()=>{a&&(c!=="prompt"&&c!=="both"||m[a.run_id]||fetch(`/api/traj-ext/${encodeURIComponent(a.run_id)}`).then(t=>t.json()).then(t=>w(i=>({...i,[a.run_id]:t.formatted_prompt??""}))).catch(()=>{}))},[a==null?void 0:a.run_id,c]),o?e.jsx("div",{className:"h-full flex items-center justify-center text-gray-400",children:"Loading traj-ext data from HuggingFace…"}):s?e.jsxs("div",{className:"h-full flex items-center justify-center text-red-400",children:["Error: ",s]}):e.jsxs("div",{className:"h-full flex overflow-hidden bg-gray-950 text-gray-100",children:[e.jsxs("div",{className:"w-64 shrink-0 flex flex-col border-r border-gray-800 bg-gray-900",children:[e.jsxs("div",{className:"p-2 border-b border-gray-800 space-y-1.5",children:[h.length>0&&e.jsxs("select",{value:x,onChange:t=>{v(t.target.value),p(0)},className:"w-full bg-gray-800 border border-gray-700 text-gray-200 text-xs 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min-w-0",children:[(c==="prompt"||c==="both")&&e.jsxs("div",{children:[c==="both"&&e.jsx("div",{className:"text-xs font-semibold text-gray-400 uppercase tracking-wide mb-2",children:"Prompt"}),m[a.run_id]?e.jsx("pre",{className:"text-xs font-mono whitespace-pre-wrap text-gray-200 bg-gray-900 border border-gray-700 rounded p-3 leading-relaxed",children:m[a.run_id]}):e.jsx("div",{className:"text-gray-500 text-xs p-3",children:"Loading prompt…"})]}),(c==="trajectory"||c==="both")&&e.jsxs("div",{children:[c==="both"&&e.jsx("div",{className:"text-xs font-semibold text-gray-400 uppercase tracking-wide mb-2 mt-4",children:"Trajectory"}),e.jsx(C,{row:a})]})]})]}):e.jsx("div",{className:"flex-1 flex items-center justify-center text-gray-500",children:"No trajectory selected."})]})}export{R as default};
+import{r as l,j as e}from"./index-BFtcA7GQ.js";function S(r){try{return JSON.parse(r).map(o=>({type:["reasoning","tool_call","tool_result","final_answer"].includes(o.type)?o.type:"unknown",content:o.content}))}catch{return[]}}function T(r){if(!r||r==="(no trajectory steps)")return[];const n=[],o=r.split(/\n\n(?=\[(?:Reasoning\]:|Tool call\]|Tool result\]:|Final answer\]:))/);for(const d of o){const s=d.trim();s.startsWith("[Reasoning]:")?n.push({type:"reasoning",content:s.slice(12).trim()}):s.startsWith("[Tool call]")?n.push({type:"tool_call",content:s.slice(11).trim()}):s.startsWith("[Tool result]:")?n.push({type:"tool_result",content:s.slice(14).trim()}):s.startsWith("[Final answer]:")?n.push({type:"final_answer",content:s.slice(15).trim()}):s&&n.push({type:"unknown",content:s})}return n}const k={reasoning:{border:"border-purple-700",label:"Reasoning",labelColor:"text-purple-400",bg:"bg-purple-950/30"},tool_call:{border:"border-blue-700",label:"Tool Call",labelColor:"text-blue-400",bg:"bg-blue-950/30"},tool_result:{border:"border-gray-600",label:"Tool Result",labelColor:"text-gray-400",bg:"bg-gray-800/30"},final_answer:{border:"border-green-700",label:"Final Answer",labelColor:"text-green-400",bg:"bg-green-950/30"},unknown:{border:"border-gray-700",label:"—",labelColor:"text-gray-500",bg:""}};function C({row:r}){const n=l.useMemo(()=>r.trajectory_blocks?S(r.trajectory_blocks):T(r.trajectory_text),[r.trajectory_blocks,r.trajectory_text]);return n.length===0?e.jsx("div",{className:"text-gray-500 text-xs",children:"No trajectory steps."}):e.jsx("div",{className:"space-y-2",children:n.map((o,d)=>{const s=k[o.type];return e.jsxs("div",{className:`border-l-2 ${s.border} ${s.bg} pl-3 py-1 rounded-r`,children:[e.jsx("div",{className:`text-[10px] font-bold uppercase tracking-widest mb-1 ${s.labelColor}`,children:s.label}),e.jsx("pre",{className:"text-xs text-gray-300 whitespace-pre-wrap font-mono leading-relaxed",children:o.content})]},d)})})}const E={traj_ext:"Full Trajectory (Tags)",traj_orig_ext:"Full Trajectory (Original Messages)",traj_summary_ext:"Summary (Tags)",traj_summary_orig_ext:"Summary (Original Messages)",traj_summary_ext_selected_tools:"Selected Tools (Tags)",traj_summary_orig_ext_selected_tools:"Selected Tools (Original Messages)"},f=r=>E[r]??r,M=["trajectory","prompt","both"];function R(){const[r,n]=l.useState([]),[o,d]=l.useState(!0),[s,j]=l.useState(null),[b,p]=l.useState(0),[c,_]=l.useState("trajectory"),[u,N]=l.useState(""),[x,v]=l.useState("all"),[m,w]=l.useState({});l.useEffect(()=>{d(!0),fetch("/api/traj-ext/").then(t=>{if(!t.ok)throw new Error(t.statusText);return t.json()}).then(t=>{n(t.rows),d(!1)}).catch(t=>{j(t.message),d(!1)})},[]);const h=l.useMemo(()=>Array.from(new Set(r.map(i=>i.run_name??""))).filter(Boolean).sort(),[r]),y=l.useMemo(()=>{let t=r;if(x!=="all"&&(t=t.filter(g=>g.run_name===x)),!u.trim())return t;const i=u.toLowerCase();return 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frontend/dist/assets/{VisualizerApp-Dpfv1hVE.js → VisualizerApp-Bo-eQZ6n.js}

@@ -1,2 +1,2 @@
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+const __vite__mapDeps=(i,m=__vite__mapDeps,d=(m.f||(m.f=["assets/ModelApp-ByP0hVWF.js","assets/index-BFtcA7GQ.js","assets/index-CxBbYLho.css","assets/PlanRevisionsApp-Dm4VU5KS.js","assets/TrajExtApp-DjSZ_Kko.js","assets/SelectedToolsApp-BXaKmpYg.js","assets/ScoutRunsApp-BqSa3vbC.js"])))=>i.map(i=>d[i]);
+import{u as o,j as e,n as d,r as l,_ as t}from"./index-BFtcA7GQ.js";const c=l.lazy(()=>t(()=>import("./ModelApp-ByP0hVWF.js"),__vite__mapDeps([0,1,2]))),n=l.lazy(()=>t(()=>import("./PlanRevisionsApp-Dm4VU5KS.js"),__vite__mapDeps([3,1,2]))),x=l.lazy(()=>t(()=>import("./TrajExtApp-DjSZ_Kko.js"),__vite__mapDeps([4,1,2]))),m=l.lazy(()=>t(()=>import("./SelectedToolsApp-BXaKmpYg.js"),__vite__mapDeps([5,1,2]))),u=l.lazy(()=>t(()=>import("./ScoutRunsApp-BqSa3vbC.js"),__vite__mapDeps([6,1,2]))),i=[{id:"model",label:"Model Trace",activeClass:"border-blue-500 text-blue-400"},{id:"plan-revisions",label:"Plan Revisions",activeClass:"border-amber-500 text-amber-400"},{id:"traj-ext",label:"Traj Ext",activeClass:"border-emerald-500 text-emerald-400"},{id:"selected-tools",label:"Selected Tools",activeClass:"border-amber-400 text-amber-300"},{id:"scout-runs",label:"Scout Runs",activeClass:"border-cyan-500 text-cyan-400"}],p=new Set(i.map(r=>r.id));function _(){const r=o(),s=p.has(r.tab)?r.tab:"model";return e.jsxs("div",{className:"h-full flex flex-col",children:[e.jsx("div",{className:"flex items-center border-b border-gray-800 bg-gray-900/50 px-2 shrink-0",children:i.map(a=>e.jsx("button",{onClick:()=>d({page:"viz",tab:a.id}),className:`px-5 py-2 text-sm font-medium border-b-2 transition-colors ${s===a.id?a.activeClass:"border-transparent text-gray-500 hover:text-gray-300"}`,children:a.label},a.id))}),e.jsx("div",{className:"flex-1 overflow-hidden",children:e.jsxs(l.Suspense,{fallback:e.jsx("div",{className:"flex items-center justify-center h-full text-gray-500",children:"Loading..."}),children:[s==="model"&&e.jsx("div",{className:"theme-model h-full",children:e.jsx(c,{})}),s==="plan-revisions"&&e.jsx("div",{className:"h-full",children:e.jsx(n,{})}),s==="traj-ext"&&e.jsx("div",{className:"h-full",children:e.jsx(x,{})}),s==="selected-tools"&&e.jsx("div",{className:"h-full",children:e.jsx(m,{})}),s==="scout-runs"&&e.jsx("div",{className:"h-full",children:e.jsx(u,{})})]})})]})}export{_ as default};

frontend/dist/assets/{index-CHBmtDYC.css → index-CxBbYLho.css}

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.panel-drop-target{outline:2px dashed #a78bfa;outline-offset:-2px;border-radius:.5rem;background:#a78bfa0d}.theme-rlm .panel-drop-target{outline:2px dashed #fb923c;outline-offset:-2px;border-radius:.5rem;background:#fb923c0d}.theme-harbor .panel-drop-target{outline:2px dashed #2dd4bf;outline-offset:-2px;border-radius:.5rem;background:#2dd4bf0d}.code-block{font-family:JetBrains Mono,Fira Code,Cascadia Code,monospace;font-size:.8rem;line-height:1.4}.drag-handle{cursor:grab}.drag-handle:active{cursor:grabbing}.light{--tw-bg-opacity: 1}.light .bg-gray-950{background-color:#fff!important}.light .bg-gray-900{background-color:#f9fafb!important}.light .bg-gray-900\/80{background-color:#f9fafbcc!important}.light .bg-gray-900\/50{background-color:#f9fafb80!important}.light .bg-gray-800{background-color:#f3f4f6!important}.light .bg-gray-800\/50{background-color:#f3f4f680!important}.light .bg-gray-700{background-color:#e5e7eb!important}.light .text-gray-100{color:#111827!important}.light .text-gray-200{color:#1f2937!important}.light .text-gray-300{color:#374151!important}.light .text-gray-400{color:#6b7280!important}.light .text-gray-500{color:#9ca3af!important}.light .text-gray-600{color:#d1d5db!important}.light .border-gray-700{border-color:#e5e7eb!important}.light .border-gray-800{border-color:#f3f4f6!important}.light .border-gray-800\/50{border-color:#f3f4f680!important}.light .text-cyan-400{color:#0891b2!important}.light .text-cyan-400\/80{color:#0891b2cc!important}.light .border-cyan-500{border-color:#06b6d4!important}.light .text-emerald-300,.light .text-emerald-400{color:#059669!important}.light .text-amber-400{color:#d97706!important}.light .text-amber-400\/80{color:#d97706cc!important}.light .text-amber-400\/70{color:#d97706b3!important}.light .text-violet-400{color:#7c3aed!important}.light .text-red-400{color:#dc2626!important}.light .text-yellow-400{color:#ca8a04!important}.light .text-green-400{color:#16a34a!important}.light .bg-emerald-950\/30{background-color:#05966914!important}.light .bg-emerald-900{background-color:#05966926!important}.light .bg-violet-950\/30{background-color:#7c3aed14!important}.light .bg-orange-900\/20{background-color:#ea580c14!important}.light .bg-red-900\/10{background-color:#dc26260d!important}.light .bg-cyan-600{background-color:#0891b2!important}.light .border-emerald-500,.light .border-emerald-700{border-color:#059669!important}.light .border-amber-500{border-color:#d97706!important}.light .border-violet-500{border-color:#7c3aed!important}.light .border-cyan-500{border-color:#0891b2!important}.light .border-orange-800\/50{border-color:#ea580c4d!important}.light .hover\:bg-gray-800:hover{background-color:#e5e7eb!important}.light .hover\:bg-gray-900\/50:hover{background-color:#f9fafb80!important}.light .hover\:text-gray-200:hover{color:#1f2937!important}.light .hover\:text-gray-300:hover{color:#374151!important}.light .hover\:border-gray-700:hover{border-color:#d1d5db!important}.light .hover\:border-gray-400:hover{border-color:#9ca3af!important}.light .hover\:text-cyan-300:hover{color:#0891b2!important}.light select{background-color:#f3f4f6!important;color:#374151!important;border-color:#d1d5db!important}.light input{background-color:#f9fafb!important;color:#374151!important;border-color:#d1d5db!important}.light .trace-scroll::-webkit-scrollbar-thumb{background:#d1d5db}.light .trace-scroll::-webkit-scrollbar-thumb:hover{background:#9ca3af}.light pre{background-color:#f3f4f6!important}.light code{background-color:#f3f4f6!important;color:#374151!important}.first\:mt-0:first-child{margin-top:0}.last\:border-0:last-child{border-width:0px}.hover\:border-cyan-600:hover{--tw-border-opacity: 1;border-color:rgb(8 145 178 / var(--tw-border-opacity, 1))}.hover\:border-gray-400:hover{--tw-border-opacity: 1;border-color:rgb(156 163 175 / var(--tw-border-opacity, 1))}.hover\:border-gray-500:hover{--tw-border-opacity: 1;border-color:rgb(107 114 128 / var(--tw-border-opacity, 1))}.hover\:border-gray-700:hover{--tw-border-opacity: 1;border-color:rgb(55 65 81 / var(--tw-border-opacity, 1))}.hover\:bg-blue-500:hover{--tw-bg-opacity: 1;background-color:rgb(59 130 246 / var(--tw-bg-opacity, 1))}.hover\:bg-cyan-500:hover{--tw-bg-opacity: 1;background-color:rgb(6 182 212 / var(--tw-bg-opacity, 1))}.hover\:bg-cyan-600\/50:hover{background-color:#0891b280}.hover\:bg-cyan-900\/70:hover{background-color:#164e63b3}.hover\:bg-gray-600:hover{--tw-bg-opacity: 1;background-color:rgb(75 85 99 / var(--tw-bg-opacity, 1))}.hover\:bg-gray-700:hover{--tw-bg-opacity: 1;background-color:rgb(55 65 81 / var(--tw-bg-opacity, 1))}.hover\:bg-gray-800:hover{--tw-bg-opacity: 1;background-color:rgb(31 41 55 / var(--tw-bg-opacity, 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0px}.disabled\:cursor-not-allowed:disabled{cursor:not-allowed}.disabled\:bg-gray-700:disabled{--tw-bg-opacity: 1;background-color:rgb(55 65 81 / var(--tw-bg-opacity, 1))}.disabled\:text-gray-500:disabled{--tw-text-opacity: 1;color:rgb(107 114 128 / var(--tw-text-opacity, 1))}.disabled\:opacity-40:disabled{opacity:.4}.group:hover .group-hover\:flex{display:flex}.group:hover .group-hover\:text-gray-200{--tw-text-opacity: 1;color:rgb(229 231 235 / var(--tw-text-opacity, 1))}.group:hover .group-hover\:text-gray-300{--tw-text-opacity: 1;color:rgb(209 213 219 / var(--tw-text-opacity, 1))}.group:hover .group-hover\:opacity-90{opacity:.9}.dark\:border-gray-600:is(.dark *){--tw-border-opacity: 1;border-color:rgb(75 85 99 / var(--tw-border-opacity, 1))}.dark\:text-gray-400:is(.dark *){--tw-text-opacity: 1;color:rgb(156 163 175 / var(--tw-text-opacity, 1))}.dark\:hover\:text-gray-200:hover:is(.dark *){--tw-text-opacity: 1;color:rgb(229 231 235 / var(--tw-text-opacity, 1))}@media(min-width:640px){.sm\:block{display:block}.sm\:w-64{width:16rem}.sm\:grid-cols-3{grid-template-columns:repeat(3,minmax(0,1fr))}}@media(min-width:768px){.md\:grid-cols-2{grid-template-columns:repeat(2,minmax(0,1fr))}.md\:grid-cols-4{grid-template-columns:repeat(4,minmax(0,1fr))}}@media(min-width:1024px){.lg\:grid-cols-4{grid-template-columns:repeat(4,minmax(0,1fr))}}@media(min-width:1280px){.xl\:grid-cols-3{grid-template-columns:repeat(3,minmax(0,1fr))}}

frontend/dist/index.html

@@ -4,8 +4,8 @@
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <title>RACA Dashboard</title>
-    <script type="module" crossorigin src="/assets/index-Br9e1W0j.js"></script>
-    <link rel="stylesheet" crossorigin href="/assets/index-CHBmtDYC.css">
+    <script type="module" crossorigin src="/assets/index-BFtcA7GQ.js"></script>
+    <link rel="stylesheet" crossorigin href="/assets/index-CxBbYLho.css">
   </head>
   <body class="bg-gray-950 text-gray-100">
     <div id="root"></div>

frontend/src/selected_tools/SelectedToolsApp.tsx

@@ -14,6 +14,9 @@ interface Row {
   tool_call_counts: Record<string, number>;
   total_tool_calls: number;
   status: string;
+  question: string;
+  correct_answer: string;
+  correct: boolean | null;
 }
 
 // ── Block parsers ────────────────────────────────────────────────────────
@@ -167,6 +170,9 @@ export default function SelectedToolsApp() {
   // Stats
   const directCount    = data.filter(r => r.direct_answer).length;
   const directPct      = data.length ? Math.round(100 * directCount / data.length) : 0;
+  const evalRows       = data.filter(r => r.correct !== null && r.correct !== undefined);
+  const correctCount   = evalRows.filter(r => r.correct === true).length;
+  const accuracyPct    = evalRows.length ? Math.round(100 * correctCount / evalRows.length) : null;
 
   if (loading) return <div className="h-full flex items-center justify-center text-gray-400">Loading from HuggingFace…</div>;
   if (error)   return <div className="h-full flex items-center justify-center text-red-400">Error: {error}</div>;
@@ -194,10 +200,19 @@ export default function SelectedToolsApp() {
         )}
 
         {/* Stats banner */}
-        <div className="px-3 py-2 border-b border-gray-800 bg-gray-900/80">
-          <div className="text-[10px] text-gray-500 uppercase tracking-widest mb-1">Direct-answer rate</div>
-          <div className="text-lg font-bold text-emerald-400">{directPct}%</div>
-          <div className="text-[10px] text-gray-600">{directCount} / {data.length} no tool calls</div>
+        <div className="px-3 py-2 border-b border-gray-800 bg-gray-900/80 space-y-1.5">
+          {accuracyPct !== null && (
+            <div>
+              <div className="text-[10px] text-gray-500 uppercase tracking-widest mb-0.5">Accuracy</div>
+              <div className="text-lg font-bold text-sky-400">{accuracyPct}%</div>
+              <div className="text-[10px] text-gray-600">{correctCount} / {evalRows.length} correct</div>
+            </div>
+          )}
+          <div>
+            <div className="text-[10px] text-gray-500 uppercase tracking-widest mb-0.5">Direct-answer rate</div>
+            <div className="text-base font-bold text-emerald-400">{directPct}%</div>
+            <div className="text-[10px] text-gray-600">{directCount} / {data.length} no tool calls</div>
+          </div>
         </div>
 
         {/* Filter toggles */}
@@ -243,10 +258,18 @@ export default function SelectedToolsApp() {
             >
               <div className="flex items-center justify-between">
                 <span className="font-medium text-gray-200">#{row.query_id}</span>
-                {row.direct_answer
-                  ? <span className="text-[9px] px-1.5 py-0.5 rounded-full bg-emerald-900/60 text-emerald-400 border border-emerald-800">direct</span>
-                  : <span className="text-[9px] px-1.5 py-0.5 rounded-full bg-blue-900/60 text-blue-400 border border-blue-800">{row.total_tool_calls} calls</span>
-                }
+                <div className="flex items-center gap-1">
+                  {row.correct === true && (
+                    <span className="text-[9px] px-1.5 py-0.5 rounded-full bg-green-900/60 text-green-400 border border-green-800">✓</span>
+                  )}
+                  {row.correct === false && (
+                    <span className="text-[9px] px-1.5 py-0.5 rounded-full bg-red-900/60 text-red-400 border border-red-800">✗</span>
+                  )}
+                  {row.direct_answer
+                    ? <span className="text-[9px] px-1.5 py-0.5 rounded-full bg-emerald-900/60 text-emerald-400 border border-emerald-800">direct</span>
+                    : <span className="text-[9px] px-1.5 py-0.5 rounded-full bg-blue-900/60 text-blue-400 border border-blue-800">{row.total_tool_calls} calls</span>
+                  }
+                </div>
               </div>
               <div className="text-[10px] text-gray-600 mt-0.5">k={row.k_effective} selected steps</div>
             </button>
@@ -262,6 +285,12 @@ export default function SelectedToolsApp() {
           <div className="px-4 py-2 bg-gray-900/60 border-b border-gray-800 shrink-0">
             <div className="flex items-center gap-3 flex-wrap">
               <span className="text-sm font-medium text-gray-100">Query #{current.query_id}</span>
+              {current.correct === true && (
+                <span className="text-xs px-2 py-0.5 rounded-full bg-green-900/50 text-green-300 border border-green-800 font-semibold">✓ Correct</span>
+              )}
+              {current.correct === false && (
+                <span className="text-xs px-2 py-0.5 rounded-full bg-red-900/50 text-red-300 border border-red-800 font-semibold">✗ Incorrect</span>
+              )}
               {current.direct_answer
                 ? <span className="text-xs px-2 py-0.5 rounded-full bg-emerald-900/50 text-emerald-300 border border-emerald-800">Direct answer</span>
                 : <span className="text-xs px-2 py-0.5 rounded-full bg-blue-900/50 text-blue-300 border border-blue-800">{current.total_tool_calls} tool calls</span>
@@ -271,20 +300,40 @@ export default function SelectedToolsApp() {
                 {current.status}
               </span>
             </div>
-            {/* Selected indices */}
-            <div className="mt-1.5 flex items-center gap-1.5 flex-wrap">
-              <span className="text-[10px] font-bold uppercase tracking-widest text-gray-500">Selected steps</span>
-              {current.selected_indices.map(idx => (
-                <span key={idx} className="text-[10px] px-1.5 py-0.5 rounded bg-gray-800 border border-gray-700 text-gray-300 font-mono">
-                  #{idx}
+            {/* Question */}
+            {current.question && (
+              <div className="mt-1.5 text-xs text-gray-200 leading-snug bg-gray-800/40 rounded px-2 py-1.5 border border-gray-700">
+                <span className="text-[10px] font-bold uppercase tracking-widest text-violet-400 mr-2">Question</span>
+                {current.question}
+              </div>
+            )}
+            {/* Correct answer */}
+            {current.correct_answer && (
+              <div className="mt-1 text-xs leading-snug bg-gray-800/40 rounded px-2 py-1.5 border border-gray-700 flex items-start gap-2">
+                <span className="text-[10px] font-bold uppercase tracking-widest text-green-400 shrink-0 mt-0.5">Answer</span>
+                <span className={current.correct === true ? "text-green-300" : current.correct === false ? "text-red-300" : "text-gray-300"}>
+                  {current.correct_answer}
                 </span>
-              ))}
-            </div>
+              </div>
+            )}
+            {/* Selected indices */}
+            {current.selected_indices.length > 0 && (
+              <div className="mt-1.5 flex items-center gap-1.5 flex-wrap">
+                <span className="text-[10px] font-bold uppercase tracking-widest text-gray-500">Selected steps</span>
+                {current.selected_indices.map(idx => (
+                  <span key={idx} className="text-[10px] px-1.5 py-0.5 rounded bg-gray-800 border border-gray-700 text-gray-300 font-mono">
+                    #{idx}
+                  </span>
+                ))}
+              </div>
+            )}
             {/* Rationale */}
-            <div className="mt-1.5 text-xs text-gray-400 leading-snug bg-gray-800/50 rounded px-2 py-1.5 border border-gray-700">
-              <span className="text-[10px] font-bold uppercase tracking-widest text-amber-500 mr-2">Rationale</span>
-              {current.rationale}
-            </div>
+            {current.rationale && (
+              <div className="mt-1.5 text-xs text-gray-400 leading-snug bg-gray-800/50 rounded px-2 py-1.5 border border-gray-700">
+                <span className="text-[10px] font-bold uppercase tracking-widest text-amber-500 mr-2">Rationale</span>
+                {current.rationale}
+              </div>
+            )}
           </div>
 
           {/* Side-by-side columns */}