SFT Diff: add qwen template dropdown, 830 rows (both templates)

backend/api/sft_diff.py

@@ -17,10 +17,10 @@ def _load():
     rows = []
     for row in ds:
         rows.append({
-            "query_id":     str(row["query_id"]),
-            "split":        row["split"],
-            "excerpt":      row["excerpt"],
-            "messages":     json.loads(row["messages_json"]),
+            "query_id":      str(row["query_id"]),
+            "excerpt":       row["excerpt"],
+            "messages_gpt":  json.loads(row["messages_json"])      if row.get("messages_json")      else None,
+            "messages_qwen": json.loads(row["messages_json_qwen"]) if row.get("messages_json_qwen") else None,
         })
     _cache = rows
     return rows

frontend/dist/assets/{ModelApp-BhQSrw0X.js → ModelApp-CFX4_n8V.js}

@@ -1,4 +1,4 @@
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frontend/dist/assets/{PlanRevisionsApp-DiRoKzUM.js → PlanRevisionsApp-D7Ac_4Gu.js}

@@ -1,4 +1,4 @@
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frontend/dist/assets/{SelectedToolsApp-Bjdij_ef.js → SelectedToolsApp-H2wBK_tf.js}

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frontend/dist/assets/SftDiffApp-BFUKrQV9.js

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frontend/dist/assets/SftDiffApp-CCQauHuc.js

@@ -0,0 +1 @@
+import{r as d,j as e}from"./index-DGnfJVOD.js";const N={user:{bg:"bg-amber-950/40",border:"border-amber-600",label:"text-amber-400",tag:"USER MESSAGE"},reasoning:{bg:"bg-purple-950/40",border:"border-purple-600",label:"text-purple-400",tag:"REASONING"},tool_call:{bg:"bg-blue-950/40",border:"border-blue-600",label:"text-blue-400",tag:"TOOL CALL"},tool_resp:{bg:"bg-gray-800/60",border:"border-gray-600",label:"text-gray-400",tag:"TOOL RESPONSE"}};function g({kind:r,label:t,children:l}){const s=N[r];return e.jsxs("div",{className:`border-l-2 ${s.border} ${s.bg} pl-3 py-2 rounded-r mb-2`,children:[e.jsx("div",{className:`text-[9px] font-bold uppercase tracking-widest mb-1.5 ${s.label}`,children:t??s.tag}),l]})}function A(r){return r.split(/\n\n/).map(t=>t.trim()).filter(Boolean).flatMap(t=>{try{const l=JSON.parse(t);return typeof l=="object"&&l!==null&&"type"in l?[l]:[]}catch{return[]}})}function T({excerpt:r,userContent:t}){const l=d.useMemo(()=>A(r),[r]);return e.jsxs("div",{className:"space-y-0",children:[e.jsx(g,{kind:"user",children:e.jsx("pre",{className:"text-xs text-gray-200 whitespace-pre-wrap font-mono leading-relaxed",children:t})}),l.map((s,a)=>{const n=JSON.stringify(s,null,2);return s.type==="reasoning"?e.jsx(g,{kind:"reasoning",children:e.jsx("pre",{className:"text-xs text-gray-200 whitespace-pre-wrap font-mono leading-relaxed",children:n})},a):s.type==="function_call"?e.jsx(g,{kind:"tool_call",label:`TOOL CALL${s.name?`: ${s.name}`:""}`,children:e.jsx("pre",{className:"text-xs text-gray-200 whitespace-pre-wrap font-mono leading-relaxed",children:n})},a):s.type==="function_call_output"?e.jsx(g,{kind:"tool_resp",children:e.jsx("pre",{className:"text-xs text-gray-200 whitespace-pre-wrap font-mono leading-relaxed",children:n})},a):e.jsx("div",{className:"border-l-2 border-gray-700 pl-3 py-2 mb-2",children:e.jsx("pre",{className:"text-xs text-gray-400 whitespace-pre-wrap font-mono leading-relaxed",children:n})},a)})]})}function I(r){const t=[],l=/(<tool_call>[\s\S]*?<\/tool_call>)/g;let s=0,a;for(;(a=l.exec(r))!==null;){const i=r.slice(s,a.index).trim();i&&t.push({kind:"reasoning",text:i}),t.push({kind:"tool_call",text:a[1]}),s=a.index+a[1].length}const n=r.slice(s).trim();return n&&t.push({kind:"reasoning",text:n}),t}function M(r){const t=[],l=/(<think>[\s\S]*?<\/think>|<tool_call>[\s\S]*?<\/tool_call>)/g;let s=0,a;for(;(a=l.exec(r))!==null;){const i=r.slice(s,a.index).trim();i&&t.push({kind:"reasoning",text:i}),a[1].startsWith("<think>")?t.push({kind:"reasoning",text:a[1]}):t.push({kind:"tool_call",text:a[1]}),s=a.index+a[1].length}const n=r.slice(s).trim();return n&&t.push({kind:"reasoning",text:n}),t}function R({content:r,template:t}){const l=t==="qwen"?M(r):I(r),s=l.some(n=>n.kind==="tool_call"),a=N.reasoning;return e.jsxs("div",{className:`border-l-2 ${a.border} ${a.bg} pl-3 py-2 rounded-r mb-2`,children:[e.jsx("div",{className:`text-[9px] font-bold uppercase tracking-widest mb-1.5 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leading-relaxed",children:l.content})},s):e.jsx(R,{content:l.content,template:t},s))})}function D(){return e.jsxs("div",{className:"flex items-center gap-4 px-4 py-1.5 bg-gray-900/80 border-b border-gray-800 shrink-0 flex-wrap",children:[e.jsx("span",{className:"text-[9px] font-bold uppercase tracking-widest text-gray-500 mr-1",children:"Legend"}),Object.entries(N).map(([r,t])=>e.jsxs("span",{className:`flex items-center gap-1.5 text-[10px] ${t.label}`,children:[e.jsx("span",{className:`inline-block w-2.5 h-2.5 rounded-sm border ${t.border} ${t.bg}`}),t.tag]},r))]})}function B({value:r,onChange:t}){return e.jsxs("select",{value:r,onChange:l=>t(l.target.value),className:"text-xs bg-gray-800 border border-gray-600 text-gray-200 rounded px-2 py-1 ml-2 cursor-pointer",children:[e.jsx("option",{value:"gpt-oss",children:"gpt-oss"}),e.jsx("option",{value:"qwen",children:"qwen"})]})}function P(){var v,k,_,S;const[r,t]=d.useState([]),[l,s]=d.useState(!0),[a,n]=d.useState(null),[i,p]=d.useState(0),[f,E]=d.useState(""),[b,q]=d.useState("gpt-oss");d.useEffect(()=>{s(!0),fetch("/api/sft-diff/").then(o=>{if(!o.ok)throw new Error(o.statusText);return o.json()}).then(o=>{t(o.rows),s(!1)}).catch(o=>{n(o.message),s(!1)})},[]);const w=d.useMemo(()=>{if(!f.trim())return r;const o=f.toLowerCase();return r.filter(x=>{var m,u,j,h;return x.query_id.toLowerCase().includes(o)||(((u=(m=x.messages_gpt)==null?void 0:m[0])==null?void 0:u.content)??((h=(j=x.messages_qwen)==null?void 0:j[0])==null?void 0:h.content)??"").toLowerCase().includes(o)})},[r,f]),c=w[i]??null,y=c?b==="qwen"?c.messages_qwen:c.messages_gpt:null,$=((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-zbFoGdOQ.js → TrajExtApp-CSzHoPWE.js}

@@ -1 +1 @@
-import{r as l,j as e}from"./index-DKykUUVd.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 rounded px-2 py-1.5",children:[e.jsxs("option",{value:"all",children:["All runs (",r.length,")"]}),h.map(t=>e.jsx("option",{value:t,children:f(t)},t))]}),e.jsx("input",{type:"text",placeholder:"Search queries…",value:u,onChange:t=>{N(t.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",children:[y.length,x!=="all"||u?` / ${r.length}`:""," trajectories"]})]}),e.jsx("div",{className:"flex-1 overflow-y-auto",children:y.map((t,i)=>e.jsxs("button",{onClick:()=>p(i),className:`w-full text-left px-3 py-2 border-b border-gray-800/50 text-xs transition-colors ${b===i?"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",children:["#",t.query_id]}),e.jsxs("div",{className:"text-gray-500 truncate mt-0.5",children:[t.question.slice(0,60),"…"]}),e.jsxs("div",{className:"flex gap-2 mt-1 text-[10px] text-gray-600 flex-wrap items-center",children:[e.jsxs("span",{children:[t.n_tool_calls," tools"]}),e.jsxs("span",{children:[t.n_reasoning_steps," reasoning"]}),e.jsx("span",{className:t.status==="completed"?"text-green-600":"text-amber-600",children:t.status}),t.n_tool_calls===0&&e.jsx("span",{className:"px-1 py-0.5 rounded bg-yellow-900/50 text-yellow-300 font-semibold",children:"direct"})]}),t.run_name&&x==="all"&&e.jsx("div",{className:"mt-0.5 text-[9px] text-indigo-400 truncate",children:f(t.run_name)})]},t.run_id))})]}),a?e.jsxs("div",{className:"flex-1 flex flex-col min-w-0 overflow-hidden",children:[e.jsxs("div",{className:"px-4 py-2 bg-gray-900/60 border-b border-gray-800 shrink-0",children:[e.jsxs("div",{className:"flex items-center gap-3 flex-wrap",children:[e.jsxs("span",{className:"text-sm font-medium text-gray-100",children:["Query 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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-DGnfJVOD.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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frontend/dist/assets/{VisualizerApp-BAbOAuGd.js → VisualizerApp--Dr-phWd.js}

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+const __vite__mapDeps=(i,m=__vite__mapDeps,d=(m.f||(m.f=["assets/ModelApp-CFX4_n8V.js","assets/index-DGnfJVOD.js","assets/index-mxVWFYT7.css","assets/PlanRevisionsApp-D7Ac_4Gu.js","assets/TrajExtApp-CSzHoPWE.js","assets/SelectedToolsApp-H2wBK_tf.js"])))=>i.map(i=>d[i]);
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frontend/dist/assets/{index-BVutdOik.css → index-mxVWFYT7.css}

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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-DKykUUVd.js"></script>
-    <link rel="stylesheet" crossorigin href="/assets/index-BVutdOik.css">
+    <script type="module" crossorigin src="/assets/index-DGnfJVOD.js"></script>
+    <link rel="stylesheet" crossorigin href="/assets/index-mxVWFYT7.css">
   </head>
   <body class="bg-gray-950 text-gray-100">
     <div id="root"></div>

frontend/src/sft_diff/SftDiffApp.tsx

@@ -2,6 +2,8 @@ import { useEffect, useState, useMemo } from "react";
 
 // ── Types ─────────────────────────────────────────────────────────────────
 
+type Template = "gpt-oss" | "qwen";
+
 interface Message {
   role: "user" | "assistant";
   content: string;
@@ -9,18 +11,18 @@ interface Message {
 
 interface Row {
   query_id: string;
-  split: "train" | "val";
   excerpt: string;
-  messages: Message[];
+  messages_gpt:  Message[] | null;
+  messages_qwen: Message[] | null;
 }
 
 // ── Color palette ─────────────────────────────────────────────────────────
 
 const COLORS = {
-  user:     { bg: "bg-amber-950/40",  border: "border-amber-600",  label: "text-amber-400",  tag: "USER MESSAGE"     },
-  reasoning:{ bg: "bg-purple-950/40", border: "border-purple-600", label: "text-purple-400", tag: "REASONING"        },
-  tool_call:{ bg: "bg-blue-950/40",   border: "border-blue-600",   label: "text-blue-400",   tag: "TOOL CALL"        },
-  tool_resp:{ bg: "bg-gray-800/60",   border: "border-gray-600",   label: "text-gray-400",   tag: "TOOL RESPONSE"    },
+  user:      { bg: "bg-amber-950/40",  border: "border-amber-600",  label: "text-amber-400",  tag: "USER MESSAGE"  },
+  reasoning: { bg: "bg-purple-950/40", border: "border-purple-600", label: "text-purple-400", tag: "REASONING"     },
+  tool_call: { bg: "bg-blue-950/40",   border: "border-blue-600",   label: "text-blue-400",   tag: "TOOL CALL"     },
+  tool_resp: { bg: "bg-gray-800/60",   border: "border-gray-600",   label: "text-gray-400",   tag: "TOOL RESPONSE" },
 };
 
 // ── Block component ───────────────────────────────────────────────────────
@@ -68,7 +70,6 @@ function ExcerptPanel({ excerpt, userContent }: { excerpt: string; userContent:
 
   return (
     <div className="space-y-0">
-      {/* User message first */}
       <Block kind="user">
         <pre className="text-xs text-gray-200 whitespace-pre-wrap font-mono leading-relaxed">
           {userContent}
@@ -85,9 +86,8 @@ function ExcerptPanel({ excerpt, userContent }: { excerpt: string; userContent:
           );
         }
         if (item.type === "function_call") {
-          const label = `TOOL CALL${item.name ? `: ${item.name}` : ""}`;
           return (
-            <Block key={i} kind="tool_call" label={label}>
+            <Block key={i} kind="tool_call" label={`TOOL CALL${item.name ? `: ${item.name}` : ""}`}>
               <pre className="text-xs text-gray-200 whitespace-pre-wrap font-mono leading-relaxed">{raw}</pre>
             </Block>
           );
@@ -99,7 +99,6 @@ function ExcerptPanel({ excerpt, userContent }: { excerpt: string; userContent:
             </Block>
           );
         }
-        // Unknown
         return (
           <div key={i} className="border-l-2 border-gray-700 pl-3 py-2 mb-2">
             <pre className="text-xs text-gray-400 whitespace-pre-wrap font-mono leading-relaxed">{raw}</pre>
@@ -110,92 +109,103 @@ function ExcerptPanel({ excerpt, userContent }: { excerpt: string; userContent:
   );
 }
 
-// ── Right panel: render converted messages ────────────────────────────────
+// ── Right panel: split assistant content into typed segments ──────────────
+
+type SegKind = "reasoning" | "tool_call";
 
 /**
- * Split an assistant message content into segments: plain text vs <tool_call> regions.
- * Returns [{kind: "reasoning"|"tool_call", text}]
+ * For gpt-oss: split at <tool_call>...</tool_call>.
+ * Segments outside tags are reasoning; tags themselves are tool_call.
  */
-function splitAssistantContent(content: string): { kind: "reasoning" | "tool_call"; text: string }[] {
-  const segments: { kind: "reasoning" | "tool_call"; text: string }[] = [];
+function splitGptContent(content: string): { kind: SegKind; text: string }[] {
+  const segs: { kind: SegKind; text: string }[] = [];
   const re = /(<tool_call>[\s\S]*?<\/tool_call>)/g;
   let last = 0;
   let m: RegExpExecArray | null;
   while ((m = re.exec(content)) !== null) {
-    if (m.index > last) {
-      const pre = content.slice(last, m.index).trim();
-      if (pre) segments.push({ kind: "reasoning", text: pre });
+    const pre = content.slice(last, m.index).trim();
+    if (pre) segs.push({ kind: "reasoning", text: pre });
+    segs.push({ kind: "tool_call", text: m[1] });
+    last = m.index + m[1].length;
+  }
+  const tail = content.slice(last).trim();
+  if (tail) segs.push({ kind: "reasoning", text: tail });
+  return segs;
+}
+
+/**
+ * For qwen: reasoning is inside <think>...</think>, tool calls in <tool_call>...</tool_call>.
+ * Both may appear in one assistant message; extract all in order.
+ */
+function splitQwenContent(content: string): { kind: SegKind; text: string }[] {
+  const segs: { kind: SegKind; text: string }[] = [];
+  const re = /(<think>[\s\S]*?<\/think>|<tool_call>[\s\S]*?<\/tool_call>)/g;
+  let last = 0;
+  let m: RegExpExecArray | null;
+  while ((m = re.exec(content)) !== null) {
+    const gap = content.slice(last, m.index).trim();
+    if (gap) segs.push({ kind: "reasoning", text: gap });
+    if (m[1].startsWith("<think>")) {
+      segs.push({ kind: "reasoning", text: m[1] });
+    } else {
+      segs.push({ kind: "tool_call", text: m[1] });
     }
-    segments.push({ kind: "tool_call", text: m[1] });
     last = m.index + m[1].length;
   }
   const tail = content.slice(last).trim();
-  if (tail) segments.push({ kind: "reasoning", text: tail });
-  return segments;
+  if (tail) segs.push({ kind: "reasoning", text: tail });
+  return segs;
 }
 
-function MessagesPanel({ messages }: { messages: Message[] }) {
+function AssistantBlock({ content, template }: { content: string; template: Template }) {
+  const segs = template === "qwen" ? splitQwenContent(content) : splitGptContent(content);
+  const hasToolCall = segs.some(s => s.kind === "tool_call");
+  const outerColor = COLORS.reasoning;
+
+  return (
+    <div className={`border-l-2 ${outerColor.border} ${outerColor.bg} pl-3 py-2 rounded-r mb-2`}>
+      <div className={`text-[9px] font-bold uppercase tracking-widest mb-1.5 ${outerColor.label}`}>
+        {hasToolCall ? "REASONING + TOOL CALL" : "REASONING"}
+      </div>
+      {segs.map((seg, j) => {
+        if (seg.kind === "tool_call") {
+          const tc = COLORS.tool_call;
+          return (
+            <div key={j} className={`border-l-2 ${tc.border} ${tc.bg} pl-2 py-1.5 rounded-r mb-1.5`}>
+              <div className={`text-[9px] font-bold uppercase tracking-widest mb-1 ${tc.label}`}>TOOL CALL</div>
+              <pre className="text-xs text-gray-200 whitespace-pre-wrap font-mono leading-relaxed">{seg.text}</pre>
+            </div>
+          );
+        }
+        return (
+          <pre key={j} className="text-xs text-gray-200 whitespace-pre-wrap font-mono leading-relaxed mb-1.5">
+            {seg.text}
+          </pre>
+        );
+      })}
+    </div>
+  );
+}
+
+function MessagesPanel({ messages, template }: { messages: Message[]; template: Template }) {
   return (
     <div className="space-y-0">
       {messages.map((msg, i) => {
-        // First user message = system + question
         if (msg.role === "user" && i === 0) {
           return (
             <Block key={i} kind="user">
-              <pre className="text-xs text-gray-200 whitespace-pre-wrap font-mono leading-relaxed">
-                {msg.content}
-              </pre>
+              <pre className="text-xs text-gray-200 whitespace-pre-wrap font-mono leading-relaxed">{msg.content}</pre>
             </Block>
           );
         }
-
-        // Subsequent user messages = tool responses
         if (msg.role === "user") {
           return (
             <Block key={i} kind="tool_resp">
-              <pre className="text-xs text-gray-200 whitespace-pre-wrap font-mono leading-relaxed">
-                {msg.content}
-              </pre>
+              <pre className="text-xs text-gray-200 whitespace-pre-wrap font-mono leading-relaxed">{msg.content}</pre>
             </Block>
           );
         }
-
-        // Assistant messages: may contain reasoning + <tool_call> blocks
-        const segments = splitAssistantContent(msg.content);
-        const hasToolCall = segments.some(s => s.kind === "tool_call");
-
-        // Outer container uses reasoning color for the overall block
-        const outerColor = COLORS.reasoning;
-        const outerLabel = hasToolCall ? "REASONING + TOOL CALL" : "REASONING";
-
-        return (
-          <div key={i} className={`border-l-2 ${outerColor.border} ${outerColor.bg} pl-3 py-2 rounded-r mb-2`}>
-            <div className={`text-[9px] font-bold uppercase tracking-widest mb-1.5 ${outerColor.label}`}>
-              {outerLabel}
-            </div>
-            {segments.map((seg, j) => {
-              if (seg.kind === "tool_call") {
-                const tc = COLORS.tool_call;
-                return (
-                  <div key={j} className={`border-l-2 ${tc.border} ${tc.bg} pl-2 py-1.5 rounded-r mb-1.5`}>
-                    <div className={`text-[9px] font-bold uppercase tracking-widest mb-1 ${tc.label}`}>
-                      TOOL CALL
-                    </div>
-                    <pre className="text-xs text-gray-200 whitespace-pre-wrap font-mono leading-relaxed">
-                      {seg.text}
-                    </pre>
-                  </div>
-                );
-              }
-              // reasoning segment
-              return (
-                <pre key={j} className="text-xs text-gray-200 whitespace-pre-wrap font-mono leading-relaxed mb-1.5">
-                  {seg.text}
-                </pre>
-              );
-            })}
-          </div>
-        );
+        return <AssistantBlock key={i} content={msg.content} template={template} />;
       })}
     </div>
   );
@@ -217,15 +227,30 @@ function Legend() {
   );
 }
 
+// ── Template dropdown ─────────────────────────────────────────────────────
+
+function TemplateDropdown({ value, onChange }: { value: Template; onChange: (t: Template) => void }) {
+  return (
+    <select
+      value={value}
+      onChange={e => onChange(e.target.value as Template)}
+      className="text-xs bg-gray-800 border border-gray-600 text-gray-200 rounded px-2 py-1 ml-2 cursor-pointer"
+    >
+      <option value="gpt-oss">gpt-oss</option>
+      <option value="qwen">qwen</option>
+    </select>
+  );
+}
+
 // ── Main component ────────────────────────────────────────────────────────
 
 export default function SftDiffApp() {
-  const [data, setData]           = useState<Row[]>([]);
-  const [loading, setLoading]     = useState(true);
-  const [error, setError]         = useState<string | null>(null);
+  const [data, setData]               = useState<Row[]>([]);
+  const [loading, setLoading]         = useState(true);
+  const [error, setError]             = useState<string | null>(null);
   const [selectedIdx, setSelectedIdx] = useState(0);
-  const [search, setSearch]       = useState("");
-  const [splitFilter, setSplitFilter] = useState<"all" | "train" | "val">("all");
+  const [search, setSearch]           = useState("");
+  const [template, setTemplate]       = useState<Template>("gpt-oss");
 
   useEffect(() => {
     setLoading(true);
@@ -236,22 +261,22 @@ export default function SftDiffApp() {
   }, []);
 
   const filtered = useMemo(() => {
-    let rows = data;
-    if (splitFilter !== "all") rows = rows.filter(r => r.split === splitFilter);
-    if (search.trim()) {
-      const q = search.toLowerCase();
-      rows = rows.filter(r =>
-        r.query_id.toLowerCase().includes(q) ||
-        (r.messages[0]?.content ?? "").toLowerCase().includes(q)
-      );
-    }
-    return rows;
-  }, [data, search, splitFilter]);
+    if (!search.trim()) return data;
+    const q = search.toLowerCase();
+    return data.filter(r =>
+      r.query_id.toLowerCase().includes(q) ||
+      (r.messages_gpt?.[0]?.content ?? r.messages_qwen?.[0]?.content ?? "").toLowerCase().includes(q)
+    );
+  }, [data, search]);
 
   const current = filtered[selectedIdx] ?? null;
 
-  // Extract the user content (system+question) from messages[0]
-  const userContent = current?.messages[0]?.content ?? "";
+  const activeMessages: Message[] | null = current
+    ? (template === "qwen" ? current.messages_qwen : current.messages_gpt)
+    : null;
+
+  // User content for the left panel — prefer gpt-oss, fall back to qwen (same content)
+  const userContent = current?.messages_gpt?.[0]?.content ?? current?.messages_qwen?.[0]?.content ?? "";
 
   if (loading) return <div className="h-full flex items-center justify-center text-gray-400">Loading…</div>;
   if (error)   return <div className="h-full flex items-center justify-center text-red-400">Error: {error}</div>;
@@ -261,21 +286,6 @@ export default function SftDiffApp() {
 
       {/* ── Sidebar ──────────────────────────────────────────────── */}
       <div className="w-60 shrink-0 flex flex-col border-r border-gray-800 bg-gray-900">
-
-        {/* Split filter */}
-        <div className="flex gap-1 px-2 py-2 border-b border-gray-800">
-          {(["all", "train", "val"] as const).map(s => (
-            <button key={s} onClick={() => { setSplitFilter(s); setSelectedIdx(0); }}
-              className={`flex-1 text-[10px] py-1 rounded border transition-colors capitalize ${
-                splitFilter === s
-                  ? "bg-gray-700 border-gray-500 text-gray-200"
-                  : "bg-gray-800/50 border-gray-700 text-gray-500 hover:border-gray-500"
-              }`}
-            >{s}</button>
-          ))}
-        </div>
-
-        {/* Search */}
         <div className="px-2 py-1.5 border-b border-gray-800">
           <input
             type="text"
@@ -287,11 +297,9 @@ export default function SftDiffApp() {
           <div className="text-[10px] text-gray-600 mt-1">{filtered.length} / {data.length}</div>
         </div>
 
-        {/* Row list */}
         <div className="flex-1 overflow-y-auto">
           {filtered.map((row, i) => {
-            // Extract question from first user message
-            const content = row.messages[0]?.content ?? "";
+            const content = row.messages_gpt?.[0]?.content ?? row.messages_qwen?.[0]?.content ?? "";
             const qMatch = content.match(/Question:\s*([\s\S]{0,120})/);
             const preview = qMatch ? qMatch[1].trim().replace(/\n/g, " ") : content.slice(0, 80);
             return (
@@ -302,14 +310,7 @@ export default function SftDiffApp() {
                     : "text-gray-400 hover:bg-gray-800"
                 }`}
               >
-                <div className="flex items-center justify-between mb-0.5">
-                  <span className="font-medium text-gray-200">#{row.query_id}</span>
-                  <span className={`text-[9px] px-1.5 py-0.5 rounded-full border ${
-                    row.split === "train"
-                      ? "bg-blue-900/40 text-blue-400 border-blue-800"
-                      : "bg-emerald-900/40 text-emerald-400 border-emerald-800"
-                  }`}>{row.split}</span>
-                </div>
+                <div className="font-medium text-gray-200 mb-0.5">#{row.query_id}</div>
                 <div className="text-[10px] text-gray-500 leading-snug line-clamp-2">{preview}</div>
               </button>
             );
@@ -322,18 +323,13 @@ export default function SftDiffApp() {
         <div className="flex-1 flex flex-col min-w-0 overflow-hidden">
           <Legend />
 
-          {/* Side-by-side panels */}
           <div className="flex-1 flex overflow-hidden min-w-0">
 
             {/* Left: original excerpt */}
             <div className="flex-1 flex flex-col min-w-0 border-r border-gray-800 overflow-hidden">
               <div className="px-3 py-1.5 bg-gray-900/60 border-b border-gray-800 shrink-0">
-                <span className="text-[11px] font-semibold text-amber-400 uppercase tracking-widest">
-                  Original
-                </span>
-                <span className="text-[10px] text-gray-500 ml-2">
-                  excerpt field — raw JSON items
-                </span>
+                <span className="text-[11px] font-semibold text-amber-400 uppercase tracking-widest">Original</span>
+                <span className="text-[10px] text-gray-500 ml-2">excerpt field — raw JSON items</span>
               </div>
               <div className="flex-1 overflow-y-auto p-3">
                 <ExcerptPanel excerpt={current.excerpt} userContent={userContent} />
@@ -342,16 +338,21 @@ export default function SftDiffApp() {
 
             {/* Right: converted messages */}
             <div className="flex-1 flex flex-col min-w-0 overflow-hidden">
-              <div className="px-3 py-1.5 bg-gray-900/60 border-b border-gray-800 shrink-0">
-                <span className="text-[11px] font-semibold text-sky-400 uppercase tracking-widest">
-                  Converted
-                </span>
-                <span className="text-[10px] text-gray-500 ml-2">
-                  Axolotl messages format · {current.messages.length} messages
-                </span>
+              <div className="px-3 py-1.5 bg-gray-900/60 border-b border-gray-800 shrink-0 flex items-center">
+                <span className="text-[11px] font-semibold text-sky-400 uppercase tracking-widest">Converted</span>
+                <TemplateDropdown value={template} onChange={setTemplate} />
+                {activeMessages && (
+                  <span className="text-[10px] text-gray-500 ml-2">{activeMessages.length} messages</span>
+                )}
               </div>
               <div className="flex-1 overflow-y-auto p-3">
-                <MessagesPanel messages={current.messages} />
+                {activeMessages ? (
+                  <MessagesPanel messages={activeMessages} template={template} />
+                ) : (
+                  <div className="text-gray-500 text-xs italic mt-4">
+                    Not available for {template} template.
+                  </div>
+                )}
               </div>
             </div>