{{ message }}
-
Notifications
You must be signed in to change notification settings - Fork 812
Expand file tree
/
Copy pathcontext-tree.ts
More file actions
747 lines (682 loc) · 27.9 KB
/
Copy pathcontext-tree.ts
File metadata and controls
747 lines (682 loc) · 27.9 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
import { open, readdir, stat } from 'fs/promises'
import { existsSync } from 'fs'
import { delimiter, join } from 'path'
import { homedir } from 'os'
import chalk from 'chalk'
import { readSessionLines, type SessionLine } from './fs-utils.js'
import { formatTokens } from './format.js'
import { estimateTokensFromChars } from './token-estimate.js'
// Block token counts are chars/4 estimates; the "context (exact)" line comes
// from the last assistant message's API usage. Transcripts store thinking
// blocks with their text stripped, so reasoning is derived per message as
// output_tokens minus the estimated visible output.
export const IMAGE_TOKEN_FALLBACK = 1600
export type BlockStat = { count: number; tokens: number }
export type ContextSnapshot = {
messages: number
tokens: number
assistant: {
count: number
tokens: number
text: BlockStat
reasoning: BlockStat
toolCall: BlockStat
byTool: Array<{ tool: string; count: number; tokens: number }>
}
user: {
count: number
tokens: number
text: BlockStat
image: BlockStat
compactSummary: BlockStat
meta: BlockStat
}
toolResult: BlockStat
system: BlockStat
}
export type SessionRef = {
filePath: string
sessionId: string
project: string
mtimeMs: number
sizeBytes: number
}
export type ContextTreeResult = {
session: SessionRef
model: string
compactions: number
reported: { context: number; window: number | null } | null
effective: ContextSnapshot
full: ContextSnapshot
}
// A single line above this decodes to a string near V8's limit; skip it
// instead of letting toString abort the whole walk.
const MAX_LINE_BYTES = 256 * 1024 * 1024
export function lineToText(line: SessionLine): string | null {
if (typeof line === 'string') return line
if (line.length > MAX_LINE_BYTES) return null
try {
return line.toString('utf-8')
} catch {
return null
}
}
export type Acc = {
messages: number
assistantCount: number
assistantText: BlockStat
assistantReasoning: BlockStat
toolCall: BlockStat
byTool: Map<string, BlockStat>
userCount: number
userText: BlockStat
userImage: BlockStat
userCompactSummary: BlockStat
userMeta: BlockStat
toolResult: BlockStat
system: BlockStat
}
type RawUsage = {
input_tokens?: number
output_tokens?: number
cache_creation_input_tokens?: number
cache_read_input_tokens?: number
}
type RawEntry = {
type?: string
subtype?: string
uuid?: string
isSidechain?: boolean
isMeta?: boolean
isCompactSummary?: boolean
content?: unknown
attachment?: unknown
compactMetadata?: { preTokens?: number; preservedSegment?: { headUuid?: string } }
message?: {
id?: string
role?: string
model?: string
content?: unknown
usage?: RawUsage
}
}
// Streamed assistant messages arrive as several transcript entries sharing one
// message id. Reasoning can only be settled once the whole message has been
// seen, so per-message state is buffered here and flushed at end of file.
type PendingAssistant = {
effective: boolean
visibleEstTokens: number
thinkingCount: number
outputTokens: number
}
function newBlockStat(): BlockStat {
return { count: 0, tokens: 0 }
}
export function newAcc(): Acc {
return {
messages: 0,
assistantCount: 0,
assistantText: newBlockStat(),
assistantReasoning: newBlockStat(),
toolCall: newBlockStat(),
byTool: new Map(),
userCount: 0,
userText: newBlockStat(),
userImage: newBlockStat(),
userCompactSummary: newBlockStat(),
userMeta: newBlockStat(),
toolResult: newBlockStat(),
system: newBlockStat(),
}
}
export function estimateTokens(text: string): number {
return estimateTokensFromChars(text.length)
}
export function add(stat: BlockStat, tokens: number): void {
stat.count += 1
stat.tokens += tokens
}
// Injected harness content (slash-command wrappers, system reminders, hook
// output) rather than something the user typed.
const META_TEXT_RE = /^\s*<(command-name|command-message|command-args|command-contents|local-command-stdout|local-command-stderr|system-reminder|task-notification)/
function pngDims(buf: Buffer): [number, number] | null {
if (buf.length < 24 || buf.readUInt32BE(0) !== 0x89504e47) return null
return [buf.readUInt32BE(16), buf.readUInt32BE(20)]
}
function jpegDims(buf: Buffer): [number, number] | null {
if (buf.length < 4 || buf[0] !== 0xff || buf[1] !== 0xd8) return null
let i = 2
while (i + 9 < buf.length) {
if (buf[i] !== 0xff) {
i++
continue
}
const marker = buf[i + 1]
const isSof = marker >= 0xc0 && marker <= 0xcf && marker !== 0xc4 && marker !== 0xc8 && marker !== 0xcc
if (isSof) return [buf.readUInt16BE(i + 7), buf.readUInt16BE(i + 5)]
const len = buf.readUInt16BE(i + 2)
if (len < 2) return null
i += 2 + len
}
return null
}
// Anthropic vision pricing: ~(w*h)/750 tokens after the API downscales to fit
// 1568px on the long edge / ~1.15MP total.
function imageTokens(source: unknown): number {
const data = (source as { data?: unknown } | undefined)?.data
if (typeof data !== 'string' || data.length === 0) return IMAGE_TOKEN_FALLBACK
let buf: Buffer
try {
buf = Buffer.from(data.slice(0, 262144), 'base64')
} catch {
return IMAGE_TOKEN_FALLBACK
}
const dims = pngDims(buf) ?? jpegDims(buf)
if (!dims) return IMAGE_TOKEN_FALLBACK
const [w, h] = dims
if (!(w > 0) || !(h > 0)) return IMAGE_TOKEN_FALLBACK
const scale = Math.min(1, 1568 / Math.max(w, h), Math.sqrt(1_150_000 / (w * h)))
return Math.max(1, Math.min(IMAGE_TOKEN_FALLBACK, Math.round((w * scale * h * scale) / 750)))
}
function toolResultTokens(content: unknown): number {
if (typeof content === 'string') return estimateTokens(content)
if (!Array.isArray(content)) return 0
let tokens = 0
for (const block of content) {
if (block == null || typeof block !== 'object') continue
const b = block as { type?: string; text?: unknown; source?: unknown }
if (b.type === 'text' && typeof b.text === 'string') tokens += estimateTokens(b.text)
else if (b.type === 'image') tokens += imageTokens(b.source)
}
return tokens
}
class TreeBuilder {
full = newAcc()
effective = newAcc()
pending = new Map<string, PendingAssistant>()
model = 'unknown'
lastUsage: RawUsage | null = null
maxSeenTokens = 0
private accs(effective: boolean): Acc[] {
return effective ? [this.full, this.effective] : [this.full]
}
addEntry(entry: RawEntry, effective: boolean): void {
const role = entry.message?.role
if (entry.type === 'assistant' && role === 'assistant') {
this.addAssistant(entry, effective)
} else if (entry.type === 'user' && role === 'user') {
this.addUser(entry, effective)
} else if (entry.type === 'system') {
const tokens = typeof entry.content === 'string' ? estimateTokens(entry.content) : 0
for (const acc of this.accs(effective)) add(acc.system, tokens)
} else if (entry.type === 'attachment') {
let tokens = 0
try {
tokens = entry.attachment == null ? 0 : estimateTokens(JSON.stringify(entry.attachment))
} catch {
tokens = 0
}
for (const acc of this.accs(effective)) add(acc.userMeta, tokens)
}
}
private addAssistant(entry: RawEntry, effective: boolean): void {
const msg = entry.message
if (!msg) return
if (typeof msg.model === 'string' && msg.model && msg.model !== '<synthetic>') this.model = msg.model
const usage = msg.usage
if (usage && ((usage.input_tokens ?? 0) > 0 || (usage.cache_read_input_tokens ?? 0) > 0)) {
this.lastUsage = usage
}
const id = msg.id ?? entry.uuid ?? ''
let pending = this.pending.get(id)
if (!pending) {
pending = { effective, visibleEstTokens: 0, thinkingCount: 0, outputTokens: 0 }
this.pending.set(id, pending)
for (const acc of this.accs(effective)) {
acc.assistantCount += 1
acc.messages += 1
}
}
if (usage?.output_tokens !== undefined) pending.outputTokens = usage.output_tokens
const content = msg.content
if (!Array.isArray(content)) return
for (const block of content) {
if (block == null || typeof block !== 'object') continue
const b = block as { type?: string; text?: unknown; name?: unknown; input?: unknown; content?: unknown }
if (b.type === 'text' && typeof b.text === 'string') {
const tokens = estimateTokens(b.text)
pending.visibleEstTokens += tokens
for (const acc of this.accs(pending.effective)) add(acc.assistantText, tokens)
} else if (b.type === 'thinking' || b.type === 'redacted_thinking') {
pending.thinkingCount += 1
} else if (b.type === 'tool_use' || b.type === 'server_tool_use') {
let tokens = 0
try {
tokens = estimateTokens(JSON.stringify(b.input ?? {}))
} catch {
tokens = 0
}
pending.visibleEstTokens += tokens
const tool = typeof b.name === 'string' && b.name ? b.name : 'unknown'
for (const acc of this.accs(pending.effective)) {
add(acc.toolCall, tokens)
const stat = acc.byTool.get(tool) ?? newBlockStat()
add(stat, tokens)
acc.byTool.set(tool, stat)
}
} else if (b.type === 'web_search_tool_result' || b.type === 'web_fetch_tool_result') {
for (const acc of this.accs(pending.effective)) add(acc.toolResult, toolResultTokens(b.content))
}
}
}
private addUser(entry: RawEntry, effective: boolean): void {
for (const acc of this.accs(effective)) {
acc.userCount += 1
acc.messages += 1
}
const content = entry.message?.content
const bucketFor = (acc: Acc, text: string): BlockStat => {
if (entry.isCompactSummary) return acc.userCompactSummary
if (entry.isMeta || META_TEXT_RE.test(text)) return acc.userMeta
return acc.userText
}
if (typeof content === 'string') {
for (const acc of this.accs(effective)) add(bucketFor(acc, content), estimateTokens(content))
return
}
if (!Array.isArray(content)) return
for (const block of content) {
if (block == null || typeof block !== 'object') continue
const b = block as { type?: string; text?: unknown; source?: unknown; content?: unknown }
if (b.type === 'text' && typeof b.text === 'string') {
for (const acc of this.accs(effective)) add(bucketFor(acc, b.text), estimateTokens(b.text))
} else if (b.type === 'image') {
const tokens = imageTokens(b.source)
for (const acc of this.accs(effective)) add(acc.userImage, tokens)
} else if (b.type === 'tool_result') {
const tokens = toolResultTokens(b.content)
for (const acc of this.accs(effective)) add(acc.toolResult, tokens)
}
}
}
// Transcripts strip thinking text, so estimate reasoning as the message's
// output_tokens minus its estimated visible output. Only messages that
// actually contained thinking blocks get a reasoning row; the remainder for
// other messages is chars/4 drift, not reasoning.
flushReasoning(): void {
for (const pending of this.pending.values()) {
if (pending.thinkingCount === 0) continue
const tokens = Math.max(0, pending.outputTokens - pending.visibleEstTokens)
for (const acc of this.accs(pending.effective)) {
acc.assistantReasoning.count += pending.thinkingCount
acc.assistantReasoning.tokens += tokens
}
}
}
}
export function snapshot(acc: Acc): ContextSnapshot {
const assistantTokens = acc.assistantText.tokens + acc.assistantReasoning.tokens + acc.toolCall.tokens
const userTokens = acc.userText.tokens + acc.userImage.tokens + acc.userCompactSummary.tokens + acc.userMeta.tokens
const byTool = [...acc.byTool.entries()]
.map(([tool, stat]) => ({ tool, count: stat.count, tokens: stat.tokens }))
.sort((a, b) => b.tokens - a.tokens)
return {
messages: acc.messages,
tokens: assistantTokens + userTokens + acc.toolResult.tokens + acc.system.tokens,
assistant: {
count: acc.assistantCount,
tokens: assistantTokens,
text: acc.assistantText,
reasoning: acc.assistantReasoning,
toolCall: acc.toolCall,
byTool,
},
user: {
count: acc.userCount,
tokens: userTokens,
text: acc.userText,
image: acc.userImage,
compactSummary: acc.userCompactSummary,
meta: acc.userMeta,
},
toolResult: acc.toolResult,
system: acc.system,
}
}
const skipFileSnapshots = (head: string): boolean => head.includes('"type":"file-history-snapshot"')
// Pass 1: locate the last compaction. The live window starts at the preserved
// segment's head (messages Claude Code carried across the compaction), not at
// the boundary itself.
async function findLastBoundary(filePath: string): Promise<{
headUuid: string | null
compactions: number
maxPreTokens: number
}> {
let headUuid: string | null = null
let compactions = 0
let maxPreTokens = 0
for await (const line of readSessionLines(filePath, skipFileSnapshots, { largeLineAsBuffer: true })) {
if (typeof line !== 'string') continue
if (!line.includes('"subtype":"compact_boundary"')) continue
let entry: RawEntry
try {
entry = JSON.parse(line) as RawEntry
} catch {
continue
}
if (entry.type !== 'system' || entry.subtype !== 'compact_boundary') continue
compactions += 1
headUuid = entry.compactMetadata?.preservedSegment?.headUuid ?? null
maxPreTokens = Math.max(maxPreTokens, entry.compactMetadata?.preTokens ?? 0)
}
return { headUuid, compactions, maxPreTokens }
}
// Claude models with a 1M window: opus-4-8 (auto-compactions on disk show
// ~1.0M preTokens) and the "[1m]" long-context variants. Others default to
// 200K unless the session itself proves bigger.
const MILLION_WINDOW_RE = /opus-4-8|\[1m\]/
export function reportedContextWindow(model: string, maxSeenTokens: number): number {
return MILLION_WINDOW_RE.test(model) || maxSeenTokens > 220_000 ? 1_000_000 : 200_000
}
export async function buildContextTree(session: SessionRef): Promise<ContextTreeResult> {
const boundary = await findLastBoundary(session.filePath)
const builder = new TreeBuilder()
builder.maxSeenTokens = boundary.maxPreTokens
let boundariesSeen = 0
let inPreservedSegment = false
for await (const line of readSessionLines(session.filePath, skipFileSnapshots, { largeLineAsBuffer: true })) {
const text = lineToText(line)
if (!text || text.charCodeAt(0) !== 123) continue
let entry: RawEntry
try {
entry = JSON.parse(text) as RawEntry
} catch {
continue
}
if (entry.isSidechain === true) continue
if (entry.type === 'system' && entry.subtype === 'compact_boundary') {
boundariesSeen += 1
continue
}
if (boundary.headUuid && entry.uuid === boundary.headUuid) inPreservedSegment = true
const effective = boundariesSeen >= boundary.compactions || inPreservedSegment
builder.addEntry(entry, effective)
}
builder.flushReasoning()
let reported: ContextTreeResult['reported'] = null
if (builder.lastUsage) {
const context =
(builder.lastUsage.input_tokens ?? 0) +
(builder.lastUsage.cache_read_input_tokens ?? 0) +
(builder.lastUsage.cache_creation_input_tokens ?? 0) +
(builder.lastUsage.output_tokens ?? 0)
builder.maxSeenTokens = Math.max(builder.maxSeenTokens, context)
reported = { context, window: reportedContextWindow(builder.model, builder.maxSeenTokens) }
}
return {
session,
model: builder.model,
compactions: boundary.compactions,
reported,
effective: snapshot(builder.effective),
full: snapshot(builder.full),
}
}
// Mirrors the env handling of providers/claude.ts so the context views cover
// the same session roots as usage tracking.
function claudeProjectRoots(): string[] {
const dirsEnv = process.env['CLAUDE_CONFIG_DIRS']
const dirs = dirsEnv ? dirsEnv.split(delimiter).filter(Boolean) : [process.env['CLAUDE_CONFIG_DIR'] ?? join(homedir(), '.claude')]
return dirs.map((d) => join(d, 'projects'))
}
type SessionFile = { filePath: string; sessionId: string; project: string }
async function listSessionFiles(): Promise<SessionFile[]> {
const files: SessionFile[] = []
for (const root of claudeProjectRoots()) {
if (!existsSync(root)) continue
let projectDirs: string[]
try {
projectDirs = await readdir(root)
} catch {
continue
}
for (const dir of projectDirs) {
let names: string[]
try {
names = await readdir(join(root, dir))
} catch {
continue
}
for (const name of names) {
if (!name.endsWith('.jsonl')) continue
files.push({
filePath: join(root, dir, name),
sessionId: name.slice(0, -'.jsonl'.length),
project: dir.split('-').filter(Boolean).pop() ?? dir,
})
}
}
}
return files
}
async function statRef(file: SessionFile): Promise<SessionRef | null> {
try {
const info = await stat(file.filePath)
if (!info.isFile() || info.size === 0) return null
return { ...file, mtimeMs: info.mtimeMs, sizeBytes: info.size }
} catch {
return null
}
}
function newestFirst(refs: Array<SessionRef | null>): SessionRef[] {
return refs.filter((r): r is SessionRef => r !== null).sort((a, b) => b.mtimeMs - a.mtimeMs)
}
export async function listRecentSessions(limit = 15): Promise<SessionRef[]> {
const files = await listSessionFiles()
return newestFirst(await Promise.all(files.map(statRef))).slice(0, limit)
}
// Id lookups match filenames directly so only the matching files get stated.
export async function findClaudeSession(idPrefix: string): Promise<SessionRef | null> {
const matches = (await listSessionFiles()).filter((f) => f.sessionId.startsWith(idPrefix))
return newestFirst(await Promise.all(matches.map(statRef)))[0] ?? null
}
// Claude Code stores an AI-generated session name as "ai-title" entries (the
// last one is current; sessions get re-titled) and, in older sessions, as
// "summary" entries near the top. Scanning one tail and one head chunk finds
// it without reading a potentially 100MB transcript.
const TITLE_CHUNK_BYTES = 262_144
function titleFromChunk(chunk: string): string {
let title = ''
let summary = ''
for (const line of chunk.split('\n')) {
if (line.includes('"type":"ai-title"')) {
try {
const t = (JSON.parse(line) as { aiTitle?: unknown }).aiTitle
if (typeof t === 'string' && t) title = t
} catch {
continue
}
} else if (!summary && line.includes('"type":"summary"')) {
try {
const t = (JSON.parse(line) as { summary?: unknown }).summary
if (typeof t === 'string' && t) summary = t
} catch {
continue
}
}
}
return title || summary
}
export async function readChunk(filePath: string, start: number, length: number): Promise<string> {
const fd = await open(filePath, 'r')
try {
const buf = Buffer.alloc(length)
const { bytesRead } = await fd.read(buf, 0, length, start)
return buf.subarray(0, bytesRead).toString('utf-8')
} finally {
await fd.close()
}
}
export async function readSessionTitle(ref: SessionRef): Promise<string> {
try {
const tailStart = Math.max(0, ref.sizeBytes - TITLE_CHUNK_BYTES)
let title = titleFromChunk(await readChunk(ref.filePath, tailStart, TITLE_CHUNK_BYTES))
if (!title && tailStart > 0) title = titleFromChunk(await readChunk(ref.filePath, 0, TITLE_CHUNK_BYTES))
return title.replace(/\s+/g, ' ').trim()
} catch {
return ''
}
}
async function resolveSession(arg: string | undefined, provider: 'claude' | 'codex'): Promise<SessionRef | null> {
if (arg && (arg.endsWith('.jsonl') || arg.includes('/'))) {
if (!existsSync(arg)) return null
const info = await stat(arg)
const base = arg.split('/').pop() ?? arg
return {
filePath: arg,
sessionId: base.replace(/\.jsonl$/, ''),
project: '',
mtimeMs: info.mtimeMs,
sizeBytes: info.size,
}
}
if (provider === 'codex') {
const codex = await import('./context-tree-codex.js')
if (!arg) return (await codex.listRecentCodexSessions(1))[0] ?? null
return codex.findCodexSession(arg)
}
if (!arg) return (await listRecentSessions(1))[0] ?? null
return findClaudeSession(arg)
}
function num(n: number): string {
return n.toLocaleString('en-US')
}
export function relativeAge(mtimeMs: number): string {
const mins = Math.max(0, Math.round((Date.now() - mtimeMs) / 60_000))
if (mins < 60) return `${mins}m ago`
if (mins < 60 * 24) return `${Math.round(mins / 60)}h ago`
return `${Math.round(mins / (60 * 24))}d ago`
}
export type ContextRow = { depth: number; label: string; count: number; tokens: number; bold?: boolean }
export function snapshotRows(view: ContextSnapshot): ContextRow[] {
const rows: ContextRow[] = []
rows.push({ depth: 0, label: 'assistant', count: view.assistant.count, tokens: view.assistant.tokens, bold: true })
rows.push({ depth: 1, label: 'text', count: view.assistant.text.count, tokens: view.assistant.text.tokens })
if (view.assistant.reasoning.count > 0) rows.push({ depth: 1, label: 'reasoning', count: view.assistant.reasoning.count, tokens: view.assistant.reasoning.tokens })
rows.push({ depth: 1, label: 'tool-call', count: view.assistant.toolCall.count, tokens: view.assistant.toolCall.tokens })
for (const t of view.assistant.byTool) rows.push({ depth: 2, label: t.tool, count: t.count, tokens: t.tokens })
rows.push({ depth: 0, label: 'user', count: view.user.count, tokens: view.user.tokens, bold: true })
rows.push({ depth: 1, label: 'text', count: view.user.text.count, tokens: view.user.text.tokens })
if (view.user.image.count > 0) rows.push({ depth: 1, label: 'image', count: view.user.image.count, tokens: view.user.image.tokens })
if (view.user.compactSummary.count > 0) rows.push({ depth: 1, label: 'compact-summary', count: view.user.compactSummary.count, tokens: view.user.compactSummary.tokens })
if (view.user.meta.count > 0) rows.push({ depth: 1, label: 'meta', count: view.user.meta.count, tokens: view.user.meta.tokens })
rows.push({ depth: 0, label: 'tool', count: view.toolResult.count, tokens: view.toolResult.tokens, bold: true })
rows.push({ depth: 1, label: 'tool-result', count: view.toolResult.count, tokens: view.toolResult.tokens })
if (view.system.count > 0) rows.push({ depth: 0, label: 'system', count: view.system.count, tokens: view.system.tokens, bold: true })
return rows
}
function renderRows(rows: ContextRow[]): string[] {
const leftLen = (r: ContextRow): number => r.depth * 2 + (r.depth > 0 ? 2 : 0) + r.label.length
const labelWidth = Math.max(...rows.map(leftLen)) + 2
const countWidth = Math.max(...rows.map((r) => num(r.count).length)) + 1
const tokenWidth = Math.max(...rows.map((r) => num(r.tokens).length))
return rows.map((r) => {
const indent = ' '.repeat(r.depth)
const bullet = r.depth > 0 ? chalk.dim('◦ ') : ''
const label = r.depth === 0 ? chalk.bold(r.label) : r.label
const pad = ' '.repeat(labelWidth - leftLen(r))
const count = chalk.dim(`${num(r.count)}x`.padStart(countWidth + 1))
const tokens = (r.bold ? chalk.cyan.bold : chalk.cyan)(num(r.tokens).padStart(tokenWidth + 2))
return ` ${indent}${bullet}${label}${pad}${count}${tokens} ${chalk.dim('tokens')}`
})
}
export function renderContextTree(result: ContextTreeResult, opts: { full?: boolean } = {}): string {
const view = opts.full ? result.full : result.effective
const lines: string[] = []
const scopeLabel = opts.full ? 'full session' : 'effective'
lines.push('')
lines.push(` ${chalk.bold('Context Token Usage')} ${chalk.dim(`(${scopeLabel})`)}`)
const sizeMb = (result.session.sizeBytes / 1024 / 1024).toFixed(1)
const project = result.session.project ? `${result.session.project} · ` : ''
lines.push(chalk.dim(` session ${result.session.sessionId.slice(0, 8)} · ${project}${result.model} · ${relativeAge(result.session.mtimeMs)} · ${sizeMb}MB on disk`))
lines.push('')
const masked = Math.max(0, result.full.tokens - result.effective.tokens)
lines.push(` messages: ${chalk.bold(num(view.messages))}`)
lines.push(` tokens: ${chalk.bold(formatTokens(result.full.tokens))} ${chalk.dim('estimated across the session')}`)
if (result.compactions > 0) {
const pct = result.full.tokens > 0 ? Math.round((result.effective.tokens / result.full.tokens) * 100) : 0
lines.push(` ${chalk.dim('◦')} ${formatTokens(masked)} ${chalk.dim(`compacted away (${num(result.compactions)} compaction${result.compactions === 1 ? '' : 's'})`)}`)
lines.push(` ${chalk.dim('◦')} ${formatTokens(result.effective.tokens)} ${chalk.dim(`effective (${pct}%)`)}`)
}
if (result.reported) {
const { context, window } = result.reported
const windowPart = window ? ` ${chalk.dim(`of ${formatTokens(window)} window (${Math.round((context / window) * 100)}%)`)}` : ''
lines.push(` context (exact, last turn): ${chalk.bold(formatTokens(context))}${windowPart}`)
const overhead = result.reported.context - result.effective.tokens
if (overhead >= 0) {
lines.push(` ${chalk.dim('◦')} ${formatTokens(overhead)} ${chalk.dim('system prompt, tools & memory (derived)')}`)
}
}
lines.push('')
lines.push(...renderRows(snapshotRows(view)))
lines.push('')
lines.push(chalk.dim(' block tokens are estimated (chars/4, images by pixel count, reasoning from per-message usage);'))
lines.push(chalk.dim(' "context (exact)" comes from API usage.'))
if (!opts.full && result.compactions > 0) lines.push(chalk.dim(' showing the live window since the last compaction; use --full for the whole session.'))
lines.push('')
return lines.join('\n')
}
export type TitledSessionRef = SessionRef & { title: string }
function renderSessionList(refs: TitledSessionRef[], provider: 'claude' | 'codex'): string {
const heading = provider === 'codex' ? 'Recent Codex sessions' : 'Recent Claude Code sessions'
const hint = provider === 'codex' ? 'codeburn context <id> --provider codex to inspect one' : 'codeburn context <id> to inspect one'
const lines = ['', ` ${chalk.bold(heading)}`, '']
const projectWidth = Math.max(...refs.map((r) => r.project.length))
for (const ref of refs) {
const sizeMb = (ref.sizeBytes / 1024 / 1024).toFixed(1).padStart(6)
const shortTitle = ref.title.length > 48 ? `${ref.title.slice(0, 47)}…` : ref.title
lines.push(` ${chalk.cyan(ref.sessionId.slice(0, 8))} ${chalk.dim(`${sizeMb}MB`)} ${relativeAge(ref.mtimeMs).padStart(7)} ${chalk.dim(ref.project.padEnd(projectWidth))} ${shortTitle}`)
}
lines.push('')
lines.push(chalk.dim(` ${hint}`))
lines.push('')
return lines.join('\n')
}
export async function listRecentTitledSessions(limit = 15): Promise<TitledSessionRef[]> {
const refs = await listRecentSessions(limit)
const titles = await Promise.all(refs.map(readSessionTitle))
return refs.map((r, i) => ({ ...r, title: titles[i] ?? '' }))
}
export async function runContextCommand(
sessionArg: string | undefined,
opts: { list?: boolean; full?: boolean; json?: boolean; provider?: string },
): Promise<void> {
const provider: 'claude' | 'codex' = opts.provider === 'codex' ? 'codex' : 'claude'
if (opts.list) {
const refs =
provider === 'codex' ? await (await import('./context-tree-codex.js')).listRecentCodexSessions(15) : await listRecentTitledSessions(15)
if (refs.length === 0) {
console.log(provider === 'codex' ? 'No Codex sessions found.' : 'No Claude Code sessions found.')
return
}
if (opts.json) {
console.log(JSON.stringify({ sessions: refs }, null, 2))
return
}
console.log(renderSessionList(refs, provider))
return
}
const session = await resolveSession(sessionArg, provider)
if (!session) {
console.error(sessionArg ? `No ${provider} session matching "${sessionArg}".` : `No ${provider} sessions found.`)
process.exitCode = 1
return
}
const result =
provider === 'codex' ? await (await import('./context-tree-codex.js')).buildCodexContextTree(session) : await buildContextTree(session)
if (opts.json) {
console.log(JSON.stringify(result, null, 2))
return
}
console.log(renderContextTree(result, { full: opts.full }))
}
You can’t perform that action at this time.