diff --git a/src/dashboard-bundle.ts b/src/dashboard-bundle.ts index e877e01..27b0c12 100644 --- a/src/dashboard-bundle.ts +++ b/src/dashboard-bundle.ts @@ -1,71 +1,71 @@ // AUTO-GENERATED by scripts/build-dashboard-ui.mjs — do not edit by hand. // Source: src/dashboard/ (Svelte). Run `pnpm run build:dashboard-ui` to regenerate. -// Size: 96777 chars (94.5 KB). +// Size: 104017 chars (101.6 KB). -export const DASHBOARD_JS = `"use strict";(()=>{var gs=globalThis.process?.env?.NODE_ENV,v=gs&&!gs.toLowerCase().startsWith("prod");var Vt=Array.isArray,$s=Array.prototype.indexOf,bt=Array.prototype.includes,Nr=Array.from,go=Object.keys,$e=Object.defineProperty,tt=Object.getOwnPropertyDescriptor,Nn=Object.getOwnPropertyDescriptors,$o=Object.prototype,bs=Array.prototype,fr=Object.getPrototypeOf,bo=Object.isExtensible;var ze=()=>{};function xs(e){return e()}function Rr(e){for(var t=0;t{e=n,t=s});return{promise:r,resolve:e,reject:t}}var Ce=Symbol("$state"),Cn=Symbol("legacy props"),ys=Symbol(""),On=Symbol("proxy path"),In=Symbol("attributes"),Jr=Symbol("class"),Qr=Symbol("style"),en=Symbol("text");var xo=Symbol("hmr anchor"),Qt=new class extends Error{name="StaleReactionError";message="The reaction that called \`getAbortSignal()\` was re-run or destroyed"},yo=!!globalThis.document?.contentType&&globalThis.document.contentType.includes("xml");var ur=3,rt=8;function ws(e){if(v){let t=new Error(\`invariant_violation +export const DASHBOARD_JS = `"use strict";(()=>{var xs=globalThis.process?.env?.NODE_ENV,h=xs&&!xs.toLowerCase().startsWith("prod");var or=Array.isArray,ys=Array.prototype.indexOf,It=Array.prototype.includes,Hr=Array.from,xo=Object.keys,Re=Object.defineProperty,ft=Object.getOwnPropertyDescriptor,qn=Object.getOwnPropertyDescriptors,yo=Object.prototype,ws=Array.prototype,Sr=Object.getPrototypeOf,wo=Object.isExtensible;var Ge=()=>{};function Es(e){return e()}function Vr(e){for(var t=0;t{e=o,t=i});return{promise:r,resolve:e,reject:t}}function fn(e,t){if(Array.isArray(e))return e;if(t===void 0||!(Symbol.iterator in e))return Array.from(e);let r=[];for(let o of e)if(r.push(o),r.length===t)break;return r}var Pe=Symbol("$state"),Ln=Symbol("legacy props"),ks=Symbol(""),Pn=Symbol("proxy path"),zn=Symbol("attributes"),un=Symbol("class"),dn=Symbol("style"),pn=Symbol("text");var Eo=Symbol("hmr anchor"),hr=new class extends Error{name="StaleReactionError";message="The reaction that called \`getAbortSignal()\` was re-run or destroyed"},ko=!!globalThis.document?.contentType&&globalThis.document.contentType.includes("xml");var Ar=3,ut=8;function Ts(e){if(h){let t=new Error(\`invariant_violation An invariant violation occurred, meaning Svelte's internal assumptions were flawed. 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show calculation
'),zl=I('
show calculation
'),Bl=I('
',1),Yl=I('
small sample
',1),Hl=I('
show calculation
'),Vl=I('
show calculation
'),Ul=I('
diagnostic: counterfactual "share of spend saved"
share of spend saved (counterfactual):
'),jl=I('
requests
input tokens saved
cache-aware, input-side only
$ saved
at $5/M input tokens (Opus 4.7)
compressed $/req
passthrough $/req
compressed \\u2212 passthrough $/req
token-equivalent total
input + 5\\xD7output billed at 5\\xD7 input rate
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'+H+': '+po(Pe)+' '+(Z||"")+"
"}Y(()=>r(),()=>{R(o,r().data)}),Y(()=>i(o),()=>{R(a,i(o)?.pricing_assumptions??null)}),Y(()=>(i(o),i(a)),()=>{R(l,i(o)&&i(a)?'
formula: saved = baseline - actual
weights: input\\xD71.0, cache_create\\xD71.25, cache_read\\xD70.10
'+p("baseline",i(o).baseline_input_weighted,"(cache-aware: cacheable\\xD7weight + cold_tail)")+p("actual",i(o).actual_input_weighted,"(input + cc\\xD71.25 + cr\\xD70.10 from usage)")+p("saved",i(o).saved_input_tokens,'= baseline - actual')+'output excluded - identical with/without compression':"")}),Y(()=>i(a),()=>{R(c,i(a)?i(a).input_per_mtok:0)}),Y(()=>(i(o),i(a),i(c),po),()=>{R(f,i(o)&&i(a)?'
formula: $ saved = $ \\xD7 '+i(c)+'/Mtok
'+p("saved_tokens",i(o).saved_input_tokens,"(cache-aware, input-side)")+p("saved_usd",\`$\${(i(o).saved_usd||0).toFixed(4)}\\xA0\`,'= saved_tokens \\xD7 input_rate / 1e6')+\`source: \${po(i(a).source||"docs.anthropic.com pricing")}\`:"")}),Y(()=>(i(o),i(a)),()=>{R(_,i(o)&&i(a)?'
formula: share_of_spend = saved / (all_baseline_equivalent + all_output \\xD7 '+(i(a).output_multiplier??5)+\`)
why this is diagnostic, not the headline: this is a counterfactual ("what the user WOULD have paid"). It depends on the count_tokens probe, the cache-aware baseline split, and an Opus 4.7 input-rate assumption. Useful as a sanity check, but the operator's real question is "did the compressed path cost less per request than the passthrough path on real traffic" \\u2014 that's the headline split above, no counterfactuals.
\`+p("saved",i(o).saved_input_tokens,"(measured-rows numerator; cache-aware)")+p("all_baseline_equivalent",i(o).all_baseline_equivalent_weighted,"(every paid request, weighted; baseline on measured + actual on the rest)")+p("all_output \\xD7 "+(i(a).output_multiplier??5),i(o).all_output_weighted,"(every paid request, output \\xD7 "+(i(a).output_multiplier??5)+")")+p("all_counterfactual_total",i(o).all_baseline_equivalent_weighted+i(o).all_output_weighted,'= all_baseline_equivalent + all_output')+p("share_of_spend",(i(o).saved_pct_of_all_spend||0).toFixed(1)+"%",'= saved / all_counterfactual_total \\xD7 100')+p("all_usage_requests",i(o).all_usage_requests,"(denominator request count - compressed + passthrough + probe-failed)")+'measured numerator, all-rows counterfactual denominator - bounded at 100%':"")}),Y(()=>(i(o),i(a)),()=>{R(u,i(o)&&i(a)?'
formula: bucket_$ = (\\u03A3 actual_input + \\u03A3 output \\xD7 '+(i(a).output_multiplier??5)+") \\xD7 $"+(i(a).input_per_mtok??5)+'/Mtok
why: partition the paid-rows set by which path actually ran this turn (\`info.compressed = true\` for slab/history compression; false for passthrough or bypassed). Same $/Mtok rate on both sides so the rate-assumption bias cancels in the delta. Selection bias (the gate routes each turn) does NOT cancel \\u2014 interpret with sample counts.
'+p("compressed (n="+i(o).compressed_paid_requests+")","$"+(i(o).compressed_actual_usd||0).toFixed(4),"total \\xB7 avg $"+(i(o).compressed_avg_usd_per_request||0).toFixed(4)+"/req")+p("passthrough (n="+i(o).passthrough_paid_requests+")","$"+(i(o).passthrough_actual_usd||0).toFixed(4),"total \\xB7 avg $"+(i(o).passthrough_avg_usd_per_request||0).toFixed(4)+"/req")+p("compressed \\u2212 passthrough","$"+(i(o).compressed_minus_passthrough_avg_usd||0).toFixed(4)+"/req",i(o).split_sufficient_sample?"(both buckets \\u2265 "+i(o).split_min_sample_per_bucket+" \\u2014 delta is meaningful)":"(small sample: need \\u2265 "+i(o).split_min_sample_per_bucket+" per bucket; treat delta as noisy)")+'no counterfactual, no probe gate \\u2014 pure observed $/req on each path':"")}),Y(()=>(i(o),i(a)),()=>{R(d,i(o)&&i(a)?'
formula: token_equivalent = input + output \\xD7 '+(i(a).output_multiplier??5)+\`
why: matches Anthropic's per-Mtok price ratio ($\`+(i(a).input_per_mtok??5)+" input vs $"+(i(a).input_per_mtok??5)*(i(a).output_multiplier??5)+' output)
'+p("actual_input",i(o).actual_input_weighted,"(weighted upstream usage)")+'
+ = raw output_tokens (already weighted)
'+p("actual_token_equivalent",i(o).actual_token_equivalent)+p("baseline_token_equivalent",i(o).baseline_token_equivalent,"(unproxied counterfactual, same \\xD7 "+(i(a).output_multiplier??5)+" on output)")+'
measured vs billed: we now SSE-tee response bodies + count text_delta / thinking_delta / tool_use chars so you can compare what we actually saw on the wire against output_tokens. The redacted_thinking block count is included because Anthropic ships those as opaque server-encrypted bytes with no char count \\u2014 output_tokens invisibly. This is what surfaced the May-2026 weekly-meter gap.
'+p("events_with_measurement",i(o).events_with_measurement,"(events where SSE/JSON scanner produced char counts)")+p("measured_text_chars",i(o).measured_text_chars,"(content_block_delta \\xB7 text_delta + response content[].text)")+p("measured_thinking_chars",i(o).measured_thinking_chars,"(content_block_delta \\xB7 thinking_delta + response reasoning text)")+p("measured_tool_use_chars",i(o).measured_tool_use_chars,"(content_block_delta \\xB7 input_json_delta + tool_use blocks)")+p("measured_redacted_blocks",i(o).measured_redacted_block_count,"(opaque encrypted blocks - chars unavailable, billed but unmeasurable)")+'measured - no estimation':"")}),We(),Fe();var g=Yl(),y=Ne(g),x=h(y),N=$(h(x),2),B=h(N,!0);m(N);var F=$(N,2),K=h(F);m(F),m(x);var S=$(x,2),w=$(h(S),2),M=h(w,!0);m(w);var te=$(w,4);{var oe=H=>{var V=Ml(),Z=$(h(V),2);wr(Z,()=>i(l),!0),m(Z),m(V),O(H,V)};le(te,H=>{i(o)&&i(a)&&H(oe)})}m(S);var Q=$(S,2),U=$(h(Q),2),se=h(U);m(U);var X=$(U,4);{var Re=H=>{var V=ql(),Z=$(h(V),2);wr(Z,()=>i(f),!0),m(Z),m(V),O(H,V)};le(X,H=>{i(o)&&i(a)&&H(Re)})}m(Q);var Ke=$(Q,2),zt=$(h(Ke),2),Bt=h(zt);m(zt);var Le=$(zt,2),Xe=h(Le);m(Le),m(Ke);var ut=$(Ke,2),Nt=$(h(ut),2),gt=h(Nt);m(Nt);var Qe=$(Nt,2),kr=h(Qe);m(Qe),m(ut);var Wr=$(ut,2),Sr=$(h(Wr),2);{var En=H=>{var V=Fl(),Z=Ne(V);let Pe;var et=h(Z);m(Z);var $t=$(Z,2),Yt=h($t);m($t),G(Ht=>{Pe=At(Z,1,"value svelte-rhs7qr",null,Pe,{pos:(i(o)?.compressed_minus_passthrough_avg_usd??0)<=0,neg:(i(o)?.compressed_minus_passthrough_avg_usd??0)>0}),A(et,\`\${i(o),b(()=>(i(o)?.compressed_minus_passthrough_avg_usd??0)>=0?"+$ ":"-$ ")??""}\${Ht??""}\`),A(Yt,\`negative = compressed path cheaper \\xB7 both buckets \\u2265 \${i(o),b(()=>i(o)?.split_min_sample_per_bucket)??""}\`)},[()=>(i(o),b(()=>Math.abs(i(o)?.compressed_minus_passthrough_avg_usd??0).toFixed(4)))]),O(H,V)},_o=H=>{var V=Ll(),Z=$(Ne(V),2),Pe=h(Z);m(Z),G((et,$t)=>A(Pe,\`need \\u2265 \${i(o),b(()=>i(o)?.split_min_sample_per_bucket)??""} requests per bucket \\xB7 have - \${et??""} / \${$t??""}\`),[()=>(z(k),i(o),b(()=>k(i(o)?.compressed_paid_requests))),()=>(z(k),i(o),b(()=>k(i(o)?.passthrough_paid_requests)))]),O(H,V)};le(Sr,H=>{i(o),b(()=>i(o)?.split_sufficient_sample)?H(En):H(_o,-1)})}var Kr=$(Sr,2);{var Tn=H=>{var V=Pl(),Z=$(h(V),2);wr(Z,()=>i(u),!0),m(Z),m(V),O(H,V)};le(Kr,H=>{i(o)&&i(a)&&H(Tn)})}m(Wr);var kn=$(Wr,2),lr=$(h(kn),2),Sn=h(lr,!0);m(lr);var vo=$(lr,4);{var Xr=H=>{var V=zl(),Z=$(h(V),2);wr(Z,()=>i(d),!0),m(Z),m(V),O(H,V)};le(vo,H=>{i(o)&&i(a)&&H(Xr)})}m(kn),m(y);var An=$(y,2);{var mo=H=>{var V=Bl(),Z=$(h(V),2),Pe=h(Z),et=$(h(Pe));let $t;var Yt=h(et);m(et);var Ht=$(et,2),Zr=h(Ht);m(Ht),m(Pe);var cr=$(Pe,2);wr(cr,()=>i(_),!0),m(cr),m(Z),m(V),G((Ar,ho)=>{$t=At(et,1,"svelte-rhs7qr",null,$t,{pos:(i(o)?.saved_pct_of_all_spend??0)>=0,neg:(i(o)?.saved_pct_of_all_spend??0)<0}),A(Yt,\`\${Ar??""}%\`),A(Zr,\`(\${ho??""} paid req \\xB7 compressed + passthrough + probe-failed)\`)},[()=>(i(o),b(()=>(i(o)?.saved_pct_of_all_spend??0).toFixed(1))),()=>(z(k),i(o),b(()=>k(i(o)?.all_usage_requests)))]),O(H,V)};le(An,H=>{i(o)&&i(a)&&H(mo)})}G((H,V,Z,Pe,et,$t,Yt,Ht,Zr,cr,Ar)=>{A(B,H),A(K,\`\\u2014 \${V??""} compressed\`),A(M,Z),A(se,\`$ \${Pe??""}\`),A(Bt,\`$ \${et??""}\`),A(Xe,\`n=\${$t??""} \\xB7 total $ \${Yt??""}\`),A(gt,\`$ \${Ht??""}\`),A(kr,\`n=\${Zr??""} \\xB7 total $ \${cr??""}\`),A(Sn,Ar)},[()=>(z(k),i(o),b(()=>k(i(o)?.requests))),()=>(z(k),i(o),b(()=>k(i(o)?.compressed_requests))),()=>(z(k),i(o),b(()=>k(i(o)?.saved_input_tokens))),()=>(i(o),b(()=>(i(o)?.saved_usd??0).toFixed(2))),()=>(i(o),b(()=>(i(o)?.compressed_avg_usd_per_request??0).toFixed(4))),()=>(z(k),i(o),b(()=>k(i(o)?.compressed_paid_requests))),()=>(i(o),b(()=>(i(o)?.compressed_actual_usd??0).toFixed(4))),()=>(i(o),b(()=>(i(o)?.passthrough_avg_usd_per_request??0).toFixed(4))),()=>(z(k),i(o),b(()=>k(i(o)?.passthrough_paid_requests))),()=>(i(o),b(()=>(i(o)?.passthrough_actual_usd??0).toFixed(4))),()=>(z(k),i(o),b(()=>k(i(o)?.actual_token_equivalent)))]),O(e,g),_e(),s()}var Vl=L(''),Ul=L('-'),jl=L(' '),Gl=L('no requests yet'),Wl=L('
#statuspathcccrbaselineactualsavedimg
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'),Zl=L('
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latest rendered
'),ec=L('
(none yet)
'),tc=L('
',1),rc={hash:"svelte-3whs73",code:\`.wrap.svelte-3whs73 {margin-top:0;} + monospace;color:#c9d1d9;white-space:pre-wrap;word-break:break-word;}.formula.svelte-rhs7qr .k {color:#8b949e;}.formula.svelte-rhs7qr .v {color:#e6edf3;}.formula.svelte-rhs7qr .op {color:#f0883e;}.formula.svelte-rhs7qr .src {color:#6e7681;font-size:10px;display:block;margin-top:6px;border-top:1px solid #21262d;padding-top:6px;}\`};function ds(e,t){fe(t,!1),ke(e,Gl);let r=()=>me(ln,"$stats",o),[o,i]=xe(),n=q(),a=q(),l=q(),c=q(),f=q(),_=q(),u=q(),d=q();function p(Y,U,ee){let je=typeof U=="number"?A(U):String(U??"-");return'
'+Y+': '+$o(je)+' '+(ee||"")+"
"}z(()=>r(),()=>{C(n,r().data)}),z(()=>s(n),()=>{C(a,s(n)?.pricing_assumptions??null)}),z(()=>(s(n),s(a)),()=>{C(l,s(n)&&s(a)?'
formula: saved = baseline - actual
weights: input\\xD71.0, cache_create\\xD71.25, cache_read\\xD70.10
'+p("baseline",s(n).baseline_input_weighted,"(cache-aware: cacheable\\xD7weight + cold_tail)")+p("actual",s(n).actual_input_weighted,"(input + cc\\xD71.25 + cr\\xD70.10 from usage)")+p("saved",s(n).saved_input_tokens,'= baseline - actual')+'output excluded - identical with/without compression':"")}),z(()=>s(a),()=>{C(c,s(a)?s(a).input_per_mtok:0)}),z(()=>(s(n),s(a),s(c),$o),()=>{C(f,s(n)&&s(a)?'
formula: $ saved = $ \\xD7 '+s(c)+'/Mtok
'+p("saved_tokens",s(n).saved_input_tokens,"(cache-aware, input-side)")+p("saved_usd",\`$\${(s(n).saved_usd||0).toFixed(4)}\\xA0\`,'= saved_tokens \\xD7 input_rate / 1e6')+\`source: \${$o(s(a).source||"docs.anthropic.com pricing")}\`:"")}),z(()=>(s(n),s(a)),()=>{C(_,s(n)&&s(a)?'
formula: share_of_spend = saved / (all_baseline_equivalent + all_output \\xD7 '+(s(a).output_multiplier??5)+\`)
why this is diagnostic, not the headline: this is a counterfactual ("what the user WOULD have paid"). It depends on the count_tokens probe, the cache-aware baseline split, and an Opus 4.7 input-rate assumption. Useful as a sanity check, but the operator's real question is "did the compressed path cost less per request than the passthrough path on real traffic" \\u2014 that's the headline split above, no counterfactuals.
\`+p("saved",s(n).saved_input_tokens,"(measured-rows numerator; cache-aware)")+p("all_baseline_equivalent",s(n).all_baseline_equivalent_weighted,"(every paid request, weighted; baseline on measured + actual on the rest)")+p("all_output \\xD7 "+(s(a).output_multiplier??5),s(n).all_output_weighted,"(every paid request, output \\xD7 "+(s(a).output_multiplier??5)+")")+p("all_counterfactual_total",s(n).all_baseline_equivalent_weighted+s(n).all_output_weighted,'= all_baseline_equivalent + all_output')+p("share_of_spend",(s(n).saved_pct_of_all_spend||0).toFixed(1)+"%",'= saved / all_counterfactual_total \\xD7 100')+p("all_usage_requests",s(n).all_usage_requests,"(denominator request count - compressed + passthrough + probe-failed)")+'measured numerator, all-rows counterfactual denominator - bounded at 100%':"")}),z(()=>(s(n),s(a)),()=>{C(u,s(n)&&s(a)?'
formula: bucket_$ = (\\u03A3 actual_input + \\u03A3 output \\xD7 '+(s(a).output_multiplier??5)+") \\xD7 $"+(s(a).input_per_mtok??5)+'/Mtok
why: partition the paid-rows set by which path actually ran this turn (\`info.compressed = true\` for slab/history compression; false for passthrough or bypassed). Same $/Mtok rate on both sides so the rate-assumption bias cancels in the delta. Selection bias (the gate routes each turn) does NOT cancel \\u2014 interpret with sample counts.
'+p("compressed (n="+s(n).compressed_paid_requests+")","$"+(s(n).compressed_actual_usd||0).toFixed(4),"total \\xB7 avg $"+(s(n).compressed_avg_usd_per_request||0).toFixed(4)+"/req")+p("passthrough (n="+s(n).passthrough_paid_requests+")","$"+(s(n).passthrough_actual_usd||0).toFixed(4),"total \\xB7 avg $"+(s(n).passthrough_avg_usd_per_request||0).toFixed(4)+"/req")+p("compressed \\u2212 passthrough","$"+(s(n).compressed_minus_passthrough_avg_usd||0).toFixed(4)+"/req",s(n).split_sufficient_sample?"(both buckets \\u2265 "+s(n).split_min_sample_per_bucket+" \\u2014 delta is meaningful)":"(small sample: need \\u2265 "+s(n).split_min_sample_per_bucket+" per bucket; treat delta as noisy)")+'no counterfactual, no probe gate \\u2014 pure observed $/req on each path':"")}),z(()=>(s(n),s(a)),()=>{C(d,s(n)&&s(a)?'
formula: token_equivalent = input + output \\xD7 '+(s(a).output_multiplier??5)+\`
why: matches Anthropic's per-Mtok price ratio ($\`+(s(a).input_per_mtok??5)+" input vs $"+(s(a).input_per_mtok??5)*(s(a).output_multiplier??5)+' output)
'+p("actual_input",s(n).actual_input_weighted,"(weighted upstream usage)")+'
+ = raw output_tokens (already weighted)
'+p("actual_token_equivalent",s(n).actual_token_equivalent)+p("baseline_token_equivalent",s(n).baseline_token_equivalent,"(unproxied counterfactual, same \\xD7 "+(s(a).output_multiplier??5)+" on output)")+'
measured vs billed: we now SSE-tee response bodies + count text_delta / thinking_delta / tool_use chars so you can compare what we actually saw on the wire against output_tokens. The redacted_thinking block count is included because Anthropic ships those as opaque server-encrypted bytes with no char count \\u2014 output_tokens invisibly. This is what surfaced the May-2026 weekly-meter gap.
'+p("events_with_measurement",s(n).events_with_measurement,"(events where SSE/JSON scanner produced char counts)")+p("measured_text_chars",s(n).measured_text_chars,"(content_block_delta \\xB7 text_delta + response content[].text)")+p("measured_thinking_chars",s(n).measured_thinking_chars,"(content_block_delta \\xB7 thinking_delta + response reasoning text)")+p("measured_tool_use_chars",s(n).measured_tool_use_chars,"(content_block_delta \\xB7 input_json_delta + tool_use blocks)")+p("measured_redacted_blocks",s(n).measured_redacted_block_count,"(opaque encrypted blocks - chars unavailable, billed but unmeasurable)")+'measured - no estimation':"")}),He(),Te();var b=jl(),y=pe(b),x=m(y),O=$(m(x),2),B=m(O,!0);v(O);var P=$(O,2),X=m(P);v(P),v(x);var N=$(x,2),E=$(m(N),2),w=m(E,!0);v(E);var D=$(E,4);{var G=Y=>{var U=Pl(),ee=$(m(U),2);zr(ee,()=>s(l),!0),v(ee),v(U),R(Y,U)};se(D,Y=>{s(n)&&s(a)&&Y(G)})}v(N);var W=$(N,2),K=$(m(W),2),ne=m(K);v(K);var Z=$(K,4);{var _e=Y=>{var U=zl(),ee=$(m(U),2);zr(ee,()=>s(f),!0),v(ee),v(U),R(Y,U)};se(Z,Y=>{s(n)&&s(a)&&Y(_e)})}v(W);var Ve=$(W,2),bt=$(m(Ve),2),Ct=m(bt);v(bt);var ve=$(bt,2),Ue=m(ve);v(ve),v(Ve);var Qe=$(Ve,2),xt=$(m(Qe),2),at=m(xt);v(xt);var et=$(xt,2),mr=m(et);v(et),v(Qe);var Se=$(Qe,2),Ae=$(m(Se),2);{var nt=Y=>{var U=Bl(),ee=pe(U);let je;var ct=m(ee);v(ee);var Ot=$(ee,2),rr=m(Ot);v(Ot),H(nr=>{je=Yt(ee,1,"value svelte-rhs7qr",null,je,{pos:(s(n)?.compressed_minus_passthrough_avg_usd??0)<=0,neg:(s(n)?.compressed_minus_passthrough_avg_usd??0)>0}),k(ct,\`\${s(n),g(()=>(s(n)?.compressed_minus_passthrough_avg_usd??0)>=0?"+$ ":"-$ ")??""}\${nr??""}\`),k(rr,\`negative = compressed path cheaper \\xB7 both buckets \\u2265 \${s(n),g(()=>s(n)?.split_min_sample_per_bucket)??""}\`)},[()=>(s(n),g(()=>Math.abs(s(n)?.compressed_minus_passthrough_avg_usd??0).toFixed(4)))]),R(Y,U)},Ht=Y=>{var U=Yl(),ee=$(pe(U),2),je=m(ee);v(ee),H((ct,Ot)=>k(je,\`need \\u2265 \${s(n),g(()=>s(n)?.split_min_sample_per_bucket)??""} requests per bucket \\xB7 have + \${ct??""} / \${Ot??""}\`),[()=>(V(A),s(n),g(()=>A(s(n)?.compressed_paid_requests))),()=>(V(A),s(n),g(()=>A(s(n)?.passthrough_paid_requests)))]),R(Y,U)};se(Ae,Y=>{s(n),g(()=>s(n)?.split_sufficient_sample)?Y(nt):Y(Ht,-1)})}var ot=$(Ae,2);{var Vt=Y=>{var U=Hl(),ee=$(m(U),2);zr(ee,()=>s(u),!0),v(ee),v(U),R(Y,U)};se(ot,Y=>{s(n)&&s(a)&&Y(Vt)})}v(Se);var yt=$(Se,2),ae=$(m(yt),2),wt=m(ae,!0);v(ae);var Et=$(ae,4);{var Le=Y=>{var U=Vl(),ee=$(m(U),2);zr(ee,()=>s(d),!0),v(ee),v(U),R(Y,U)};se(Et,Y=>{s(n)&&s(a)&&Y(Le)})}v(yt),v(y);var lt=$(y,2);{var tr=Y=>{var U=Ul(),ee=$(m(U),2),je=m(ee),ct=$(m(je));let Ot;var rr=m(ct);v(ct);var nr=$(ct,2),cn=m(nr);v(nr),v(je);var Tr=$(je,2);zr(Tr,()=>s(_),!0),v(Tr),v(ee),v(U),H((Yr,bo)=>{Ot=Yt(ct,1,"svelte-rhs7qr",null,Ot,{pos:(s(n)?.saved_pct_of_all_spend??0)>=0,neg:(s(n)?.saved_pct_of_all_spend??0)<0}),k(rr,\`\${Yr??""}%\`),k(cn,\`(\${bo??""} paid req \\xB7 compressed + passthrough + probe-failed)\`)},[()=>(s(n),g(()=>(s(n)?.saved_pct_of_all_spend??0).toFixed(1))),()=>(V(A),s(n),g(()=>A(s(n)?.all_usage_requests)))]),R(Y,U)};se(lt,Y=>{s(n)&&s(a)&&Y(tr)})}H((Y,U,ee,je,ct,Ot,rr,nr,cn,Tr,Yr)=>{k(B,Y),k(X,\`\\u2014 \${U??""} compressed\`),k(w,ee),k(ne,\`$ \${je??""}\`),k(Ct,\`$ \${ct??""}\`),k(Ue,\`n=\${Ot??""} \\xB7 total $ \${rr??""}\`),k(at,\`$ \${nr??""}\`),k(mr,\`n=\${cn??""} \\xB7 total $ \${Tr??""}\`),k(wt,Yr)},[()=>(V(A),s(n),g(()=>A(s(n)?.requests))),()=>(V(A),s(n),g(()=>A(s(n)?.compressed_requests))),()=>(V(A),s(n),g(()=>A(s(n)?.saved_input_tokens))),()=>(s(n),g(()=>(s(n)?.saved_usd??0).toFixed(2))),()=>(s(n),g(()=>(s(n)?.compressed_avg_usd_per_request??0).toFixed(4))),()=>(V(A),s(n),g(()=>A(s(n)?.compressed_paid_requests))),()=>(s(n),g(()=>(s(n)?.compressed_actual_usd??0).toFixed(4))),()=>(s(n),g(()=>(s(n)?.passthrough_avg_usd_per_request??0).toFixed(4))),()=>(V(A),s(n),g(()=>A(s(n)?.passthrough_paid_requests))),()=>(s(n),g(()=>(s(n)?.passthrough_actual_usd??0).toFixed(4))),()=>(V(A),s(n),g(()=>A(s(n)?.actual_token_equivalent)))]),R(e,b),ue(),i()}var Wl=I(''),Kl=I('-'),Xl=I(' '),Zl=I('no requests yet'),Jl=I('
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The page looks identical pre/post rewrite to keep visual regression cheap. */body {margin:0;padding:24px;background:#0d1117;color:#c9d1d9;font:14px/1.45 -apple-system, BlinkMacSystemFont, @@ -87,5 +87,5 @@ https://svelte.dev/e/state_proxy_unmount\`,Ct,Ot):console.warn("https://svelte.d 50% { opacity: 0.4; } - }\`};function hs(e,t){pe(t,!1),qe(e,$c);let r=()=>Ee(Gr,"$stats",n),[n,s]=Me(),o=q();function a(w){w=Math.floor(w);let M=Math.floor(w/3600),te=Math.floor(w%3600/60),oe=w%60;return(M?M+"h ":"")+(te||M?te+"m ":"")+oe+"s"}Y(()=>r(),()=>{R(o,r().data?\`port \${location.port||"80"} \\xB7 uptime \${a(r().data.uptime_sec)} \\xB7 live\`:r().error?"proxy unreachable":"connecting...")}),We(),Fe();var l=gc(),c=$(Ne(l),2),f=h(c,!0);m(c);var _=$(c,2);vs(_,{});var u=$(_,2);fs(u,{});var d=$(u,2),p=h(d),g=$(h(p),2);us(g,{}),m(p);var y=$(p,2),x=$(h(y),2);ds(x,{}),m(y),m(d);var N=$(d,2),B=$(h(N),2);ps(B,{}),m(N);var F=$(N,2),K=$(h(F),2);_s(K,{}),m(F);var S=$(F,2);ms(S,{}),G(()=>A(f,i(o))),O(e,l),_e(),s()}var ra=document.getElementById("app");ra?jr(hs,{target:ra}):document.body.textContent="pixelpipe dashboard: mount target #app missing";})(); + }\`};function bs(e,t){fe(t,!1),ke(e,Dc);let r=()=>me(ln,"$stats",o),[o,i]=xe(),n=q();function a(w){w=Math.floor(w);let D=Math.floor(w/3600),G=Math.floor(w%3600/60),W=w%60;return(D?D+"h ":"")+(G||D?G+"m ":"")+W+"s"}z(()=>r(),()=>{C(n,r().data?\`port \${location.port||"80"} \\xB7 uptime \${a(r().data.uptime_sec)} \\xB7 live\`:r().error?"proxy unreachable":"connecting...")}),He(),Te();var l=Mc(),c=$(pe(l),2),f=m(c,!0);v(c);var _=$(c,2);hs(_,{});var u=$(_,2);gs(u,{});var d=$(u,2);ds(d,{});var p=$(d,2),b=m(p),y=$(m(b),2);ps(y,{}),v(b);var x=$(b,2),O=$(m(x),2);_s(O,{}),v(x),v(p);var B=$(p,2),P=$(m(B),2);vs(P,{}),v(B);var X=$(B,2),N=$(m(X),2);ms(N,{}),v(X);var E=$(X,2);$s(E,{}),H(()=>k(f,s(n))),R(e,l),ue(),i()}var ia=document.getElementById("app");ia?sn(bs,{target:ia}):document.body.textContent="pixelpipe dashboard: mount target #app missing";})(); `; diff --git a/src/dashboard.ts b/src/dashboard.ts index dcad96b..a412298 100644 --- a/src/dashboard.ts +++ b/src/dashboard.ts @@ -142,6 +142,31 @@ export interface RecentRow { * output×5 in input-token-equivalents. The dashboard headline matches it * so a "20% saved" number means weekly-limit consumption dropped by 20%, * not "20% off the slice we touched while the other half stayed full." */ +/** + * Per-session aggregate. Same dollar-weighted savings math as the global + * `Totals` block, but partitioned by `info.firstUserSha8` so the dashboard + * can show "what's happening RIGHT NOW" instead of stale lifetime numbers. + * Field names mirror the JSON wire shape served by `serveCurrentSessionJson`. + */ +interface SessionTotals { + sessionId: string; + firstSeen: number; // unix seconds + lastSeen: number; // unix seconds + requests: number; + // Dollar-weighted accumulators. baseline/actual are the SAME math as the + // global `Totals.allBaselineEquivalentWeighted` / `allActualInputWeighted` + // + `allOutputWeighted`, but scoped to a single session. + baselineInputWeighted: number; + actualInputWeighted: number; + outputWeighted: number; + // Per-bucket char attribution from ev.info.bucketChars. + bucketChars: { [bucket: string]: number }; + // Passthrough reason histogram from ev.info.passthroughReasons. + passthroughReasons: Record; + passthroughRequests: number; // count of requests where !ev.info.compressed + compressedRequests: number; +} + interface Totals { requests: number; compressedRequests: number; @@ -258,10 +283,24 @@ const OUTPUT_TOKEN_RATE = 5.0; * actual target model; do not trust hardcoded chars-per-token or * tokens-per-image constants on 4.7 without verifying against the * upstream probe. */ -const ASSUMED_INPUT_USD_PER_MTOK = 5.0; +export const ASSUMED_INPUT_USD_PER_MTOK = 5.0; export class DashboardState { private recent: RecentRow[] = []; + /** Per-session dollar-weighted totals, keyed by `info.firstUserSha8`. The + * dashboard surfaces ONLY the most-recently-active session via the + * `serveCurrentSessionJson` endpoint — older sessions linger in the Map + * so a tab refresh during a brief lull still finds the previous session, + * but get evicted at `SESSION_CAP` to bound memory in long-running hosts. */ + private sessions: Map = new Map(); + /** sha8 of the most-recently-active session id. null when no events have + * ever carried a `firstUserSha8` (e.g. a cold start with only passthrough + * hits that the upstream probe never tagged). */ + private currentSessionId: string | null = null; + /** Hard cap on `sessions` Map entries. Keeps memory bounded in + * long-running deployments. 50 sessions × ~13 numeric fields each is + * comfortably under a MB even with fat bucket/passthrough histograms. */ + private static readonly SESSION_CAP = 50; private totals: Totals = { requests: 0, compressedRequests: 0, @@ -460,6 +499,75 @@ export class DashboardState { } } + // Per-session aggregation. Uses the SAME baseline/actual/output math as + // the global accumulators above, partitioned by `info.firstUserSha8` + // so the dashboard's "current session" panel can show what's happening + // RIGHT NOW instead of stale lifetime numbers. Untagged events (no + // firstUserSha8 — cold start, passthrough probe failures) are skipped + // rather than bucketed into a synthetic "unknown" session. + const sid = info?.firstUserSha8; + if (typeof sid === 'string' && sid.length > 0) { + this.currentSessionId = sid; + let s = this.sessions.get(sid); + if (!s) { + s = { + sessionId: sid, + firstSeen: Date.now() / 1000, + lastSeen: Date.now() / 1000, + requests: 0, + baselineInputWeighted: 0, + actualInputWeighted: 0, + outputWeighted: 0, + bucketChars: {}, + passthroughReasons: {}, + passthroughRequests: 0, + compressedRequests: 0, + }; + this.sessions.set(sid, s); + // Cap memory — drop the oldest session by lastSeen when over budget. + if (this.sessions.size > DashboardState.SESSION_CAP) { + const oldest = [...this.sessions.values()].sort( + (a, b) => a.lastSeen - b.lastSeen, + )[0]; + if (oldest) this.sessions.delete(oldest.sessionId); + } + } + s.lastSeen = Date.now() / 1000; + s.requests += 1; + // Reuse the same haveUsage / haveBaseline guards + the + // baselineInputEff / actualInputEff / outputEquiv locals computed + // earlier in update() so the lifetime totals block (above) and the + // per-session block (here) read the same values. Re-deriving them + // here would duplicate the cache-aware-baseline math and invite drift. + if (haveBaseline && haveUsage) { + s.baselineInputWeighted += baselineInputEff; + s.actualInputWeighted += actualInputEff; + s.outputWeighted += outputEquiv; + } + if (compressed) s.compressedRequests += 1; + else s.passthroughRequests += 1; + // Per-bucket char attribution from `info.bucketChars` (flat + // `Partial>` — see src/core/tracker.ts). + // Matches the shape the Svelte panel iterates over. + const bc = info?.bucketChars; + if (bc && typeof bc === 'object') { + for (const [key, val] of Object.entries(bc) as [string, unknown][]) { + if (typeof val === 'number' && Number.isFinite(val)) { + s.bucketChars[key] = (s.bucketChars[key] ?? 0) + val; + } + } + } + // Passthrough reason histogram from `info.passthroughReasons`. + const pr = info?.passthroughReasons; + if (pr && typeof pr === 'object') { + for (const [reason, count] of Object.entries(pr as Record)) { + if (typeof count === 'number' && Number.isFinite(count) && count > 0) { + s.passthroughReasons[reason] = (s.passthroughReasons[reason] ?? 0) + count; + } + } + } + } + // Measurement totals are independent of usage/baseline gating — they // accumulate whenever the scanner produced numbers. The scanner sets // measurement to undefined on 5xx (no body to scan) and on unknown @@ -561,6 +669,57 @@ export class DashboardState { // ---- HTTP handlers ------------------------------------------------------ + /** + * Per-session "what's happening right now" payload backing the + * `SessionSummary` panel. Scopes the dollar-weighted savings ratio + the + * per-bucket char attribution + the passthrough-reason histogram to the + * most-recently-active session (tracked via `info.firstUserSha8`) so the + * top-of-dashboard headline reflects the live session rather than stale + * lifetime aggregates from a previous run. + * + * Returns `{ sessionId: null, message: 'no active session yet' }` when no + * events have been received yet (or the first events were all untagged — + * cold start, probe failures) — `update()` only sets `currentSessionId` + * when a `firstUserSha8`-tagged event lands. The client renders a stale + * panel rather than zeroes when a session goes idle (NO `lastSeen > + * threshold` check here; see comment in `update()` for the rationale). + */ + serveCurrentSessionJson(): Response { + if (!this.currentSessionId) { + return jsonResponse({ + sessionId: null, + message: 'no active session yet', + }); + } + const s = this.sessions.get(this.currentSessionId); + if (!s) { + return jsonResponse({ sessionId: null, message: 'no active session yet' }); + } + // Dollar-weighted savings ratio. Same math as the global `saved_pct` + // (compressed AND passthrough requests — passthrough has baseline=actual, + // so it correctly drags the ratio down when we leak). Honest denominator: + // includes both compressed and uncompressed flows that the proxy saw. + const baselineUsd = (s.baselineInputWeighted * ASSUMED_INPUT_USD_PER_MTOK) / 1e6; + const actualUsd = (s.actualInputWeighted * ASSUMED_INPUT_USD_PER_MTOK) / 1e6; + const savedUsd = baselineUsd - actualUsd; + const savedPct = baselineUsd > 0 ? (savedUsd / baselineUsd) * 100 : 0; + return jsonResponse({ + sessionId: s.sessionId, + firstSeen: s.firstSeen, + lastSeen: s.lastSeen, + uptimeSec: Math.max(0, s.lastSeen - s.firstSeen), + requests: s.requests, + compressedRequests: s.compressedRequests, + passthroughRequests: s.passthroughRequests, + baselineUsd: round4(baselineUsd), + actualUsd: round4(actualUsd), + savedUsd: round4(savedUsd), + savedPct: round1(savedPct), + bucketChars: s.bucketChars, + passthroughReasons: s.passthroughReasons, + }); + } + serveStats(): Response { // Two headline numbers, derived from the same per-event accumulators: // @@ -836,6 +995,7 @@ export type DashboardRoute = | { kind: 'png' } // /proxy-latest-png | { kind: 'api-sessions' } // /api/sessions.json | { kind: 'api-stats' } // /api/stats.json + | { kind: 'current-session' } // /api/current-session.json | { kind: 'api-compression' }; // /api/compression (POST {enabled}) — runtime kill switch /** Match dashboard paths (handle query strings on /proxy-latest-png). */ @@ -846,6 +1006,7 @@ export function dashboardPath(pathname: string): DashboardRoute | null { if (pathname === '/proxy-latest-png') return { kind: 'png' }; if (pathname === '/api/sessions.json') return { kind: 'api-sessions' }; if (pathname === '/api/stats.json') return { kind: 'api-stats' }; + if (pathname === '/api/current-session.json') return { kind: 'current-session' }; if (pathname === '/api/compression') return { kind: 'api-compression' }; return null; } diff --git a/src/dashboard/App.svelte b/src/dashboard/App.svelte index 9369885..ba67f50 100644 --- a/src/dashboard/App.svelte +++ b/src/dashboard/App.svelte @@ -10,6 +10,7 @@ import Sessions from './components/Sessions.svelte'; import StatsTable from './components/StatsTable.svelte'; import CompressionToggle from './components/CompressionToggle.svelte'; + import SessionSummary from './components/SessionSummary.svelte'; import ToastTray from './components/ToastTray.svelte'; import { stats } from './stores/index.js'; @@ -34,6 +35,8 @@ + +
      diff --git a/src/dashboard/components/SessionSummary.svelte b/src/dashboard/components/SessionSummary.svelte new file mode 100644 index 0000000..25713c0 --- /dev/null +++ b/src/dashboard/components/SessionSummary.svelte @@ -0,0 +1,263 @@ + + +
      + {#if err} +
      error: {err}
      + {:else if !data} +
      loading…
      + {:else if !hasSession} +

      This session

      +
      {data.message ?? 'no active session yet'}
      + {:else} +
      +

      This session

      +
      + started {fmtDuration(data.uptimeSec ?? 0)} ago · {data.requests} requests +
      +
      + +
      +
      + Saved {fmtPct(data.savedPct ?? 0)} +
      +
      + {fmtUsd(data.savedUsd ?? 0)} of {fmtUsd(data.baselineUsd ?? 0)} baseline +
      +
      + +
      +
      +
      + + {#if bucketEntries.length > 0} +
      +
      Where it came from
      +
      + {#each bucketEntries as [key, val]} + {@const w = bucketTotal > 0 ? (val / bucketTotal) * 100 : 0} +
      + {/each} +
      +
      + {#each bucketEntries as [key, val]} + {@const w = bucketTotal > 0 ? (val / bucketTotal) * 100 : 0} + + + {BUCKET_LABELS[key] ?? key} {w.toFixed(0)}% + + {/each} +
      +
      + {/if} + + {#if passthroughEntries.length > 0} +
      +
      + Where it didn't · {data.passthroughRequests ?? 0} of {data.requests} requests passed through +
      +
        + {#each passthroughEntries as [reason, count]} +
      • {reason} {count}
        • + {/each} +
      +
      + {:else if (data.passthroughRequests ?? 0) === 0} +
      +
      ✓ Every request compressed
      +
      + {/if} + {/if} +
      + + diff --git a/src/dashboard/lib/api.ts b/src/dashboard/lib/api.ts index b2c5eca..43d3101 100644 --- a/src/dashboard/lib/api.ts +++ b/src/dashboard/lib/api.ts @@ -14,6 +14,7 @@ export const API = { latestPng: '/proxy-latest-png', sessions: '/api/sessions.json', fullStats: '/api/stats.json', + currentSession: '/api/current-session.json', compressionToggle: '/api/compression', } as const; diff --git a/src/dashboard/stores/index.ts b/src/dashboard/stores/index.ts index b827cfe..de44ad2 100644 --- a/src/dashboard/stores/index.ts +++ b/src/dashboard/stores/index.ts @@ -11,6 +11,7 @@ import type { RecentPayload, SessionsPayload, FullStatsPayload, + CurrentSessionPayload, } from '../types.js'; // Live counters + recent table (legacy poll cadence: 2s). @@ -20,6 +21,7 @@ export const recent = pollJson('/proxy-recent', 2000); // Slower endpoints (legacy: 5s). export const sessions = pollJson('/api/sessions.json', 5000); export const fullStats = pollJson('/api/stats.json', 5000); +export const currentSession = pollJson('/api/current-session.json', 2000); // when null the image viewer follows the latest render; when set it pins that image id. ui-only state. export const selectedImageId = writable(null); diff --git a/src/dashboard/types.ts b/src/dashboard/types.ts index ca5ec46..b520b1a 100644 --- a/src/dashboard/types.ts +++ b/src/dashboard/types.ts @@ -152,3 +152,28 @@ export interface FullStatsSummary { export interface CompressionToggleResponse { compression_enabled: boolean; } + +/** /api/current-session.json payload — per-session aggregates for the most-recently-active Claude Code session. */ +export interface CurrentSessionPayload { + sessionId: string | null; + message?: string; + firstSeen?: number; + lastSeen?: number; + uptimeSec?: number; + requests?: number; + compressedRequests?: number; + passthroughRequests?: number; + baselineUsd?: number; + actualUsd?: number; + savedUsd?: number; + savedPct?: number; + bucketChars?: { + static_slab: number; + reminder: number; + tool_result: number; + history: number; + billing: number; + dynamic: number; + }; + passthroughReasons?: Record; +} diff --git a/src/node.ts b/src/node.ts index 06062d1..019bff2 100644 --- a/src/node.ts +++ b/src/node.ts @@ -202,6 +202,9 @@ async function dispatchDashboard( case 'api-stats': if (method !== 'GET') return undefined; return dashboard.serveApiStats(); + case 'current-session': + if (method !== 'GET') return undefined; + return dashboard.serveCurrentSessionJson(); case 'api-compression': { if (method !== 'POST') { return new Response(