From 5870a92a8431b7c1629fa51637cdf45ba4d2996b Mon Sep 17 00:00:00 2001 From: Tito Citrin Date: Mon, 15 Jun 2026 08:54:04 -0400 Subject: [PATCH 01/11] feat(trace): daemonless session-end trace mode (opt-out) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Add `trace_mode: "daemon" | "session-end"` (default `daemon`, unchanged). In `session-end` mode the persistent daemon is bypassed entirely: a pure function reconstructs the full GenAI-convention span tree from the completed transcript in one pass at SessionEnd, uploads, and exits — no daemon, no socket. This removes the daemon-fragility class of failures (stale sockets, "Unknown session", restarts) for users who opt in, while keeping default behavior byte-identical so the change is non-disruptive and upstream-mergeable. - src/buildTrace.ts: pure `buildTrace(tracer, transcriptPath, opts)`. Per turn emits invoke_agent root → chat spans → execute_tool spans (results paired) → invoke_agent for Agent calls, recursing subagent transcripts (ALL turns). Subagent correlation enumerates the on-disk meta pool and claims by toolUseId → team-member name → subagent_type (FIFO), with a leftover pass nesting re-spawns under the existing invoke_agent (coordinator child count stays = #Agent calls, matching the daemon). Reuses genaiSpans emit helpers. - src/sessionEnd.ts: SessionEnd handler — parse payload, resolve config (env > settings, daemon parity), scope-gate, build, flush. Never throws. - src/tracerProvider.ts: OTLP exporter factory (daemon's wiring, factored out; daemon retains its own copy — additive, daemon path unperturbed). - src/parser.ts: additive toolCalls() (tool_use↔tool_result pairing) + prompt(). - src/utils.ts: isCwdInScope scope gate (opt-in trace_roots; empty = global). - src/cli.ts: `session-end` command (stdin, hook-safe) + `config set trace_mode`. - hooks/hook-handler.sh: session-end branch bypasses the daemon; only SessionEnd runs the builder. v1 intentionally drops permission events and compaction stats (non-structural). Validated: 59/59 unit tests; tsc strict clean; daemon path unperturbed; buildTrace over all 1336 local transcripts (0 errors); oracle-diff vs an independent reconstruction — subagent-tool totals 189/189 exact, 0 under-counts. Co-Authored-By: Claude Opus 4.8 (1M context) --- hooks/hook-handler.sh | 22 +++ src/buildTrace.ts | 315 ++++++++++++++++++++++++++++++++ src/cli.ts | 50 ++++- src/parser.ts | 94 +++++++++- src/sessionEnd.ts | 113 ++++++++++++ src/setup.ts | 7 + src/tracerProvider.ts | 57 ++++++ src/utils.ts | 23 +++ tests/build-trace.test.ts | 244 +++++++++++++++++++++++++ tests/parser-tool-calls.test.ts | 86 +++++++++ tests/session-end.test.ts | 106 +++++++++++ 11 files changed, 1110 insertions(+), 7 deletions(-) create mode 100644 src/buildTrace.ts create mode 100644 src/sessionEnd.ts create mode 100644 src/tracerProvider.ts create mode 100644 tests/build-trace.test.ts create mode 100644 tests/parser-tool-calls.test.ts create mode 100644 tests/session-end.test.ts diff --git a/hooks/hook-handler.sh b/hooks/hook-handler.sh index cfc4965..378ef89 100755 --- a/hooks/hook-handler.sh +++ b/hooks/hook-handler.sh @@ -64,6 +64,28 @@ if [ -z "${WANDB_API_KEY_VALUE}" ] && [ -z "${WANDB_API_KEY:-}" ]; then exit 0 fi +# ── daemonless (session-end) mode ───────────────────────────────────────────── +# +# When trace_mode is "session-end" the persistent daemon is bypassed entirely. +# Every hook event still fires (hooks.json is static), but only SessionEnd does +# work: it pipes the payload to `weave-claude-code session-end`, which rebuilds +# the full span tree from the now-complete transcript in one pass and uploads. +# All other events exit 0 immediately — no daemon, no socket. + +TRACE_MODE_VALUE=$(grep -o '"trace_mode" *: *"[^"]*"' "${SETTINGS_FILE}" 2>/dev/null | grep -o '"[^"]*"$' | tr -d '"') +TRACE_MODE_VALUE="${WEAVE_TRACE_MODE:-${TRACE_MODE_VALUE}}" + +if [ "${TRACE_MODE_VALUE}" = "session-end" ]; then + PAYLOAD="$(cat)" + case "${PAYLOAD}" in + *'"hook_event_name":"SessionEnd"'*|*'"hook_event_name": "SessionEnd"'*) + printf '%s' "${PAYLOAD}" | weave-claude-code session-end >> "${ERROR_LOG}" 2>&1 || \ + echo "$(date -Iseconds) | ERROR | session-end trace build failed" >> "${ERROR_LOG}" + ;; + esac + exit 0 +fi + # ── start daemon if needed ──────────────────────────────────────────────────── # # The socket file alone is NOT proof that the daemon is alive. When the daemon diff --git a/src/buildTrace.ts b/src/buildTrace.ts new file mode 100644 index 0000000..11f4247 --- /dev/null +++ b/src/buildTrace.ts @@ -0,0 +1,315 @@ +// SPDX-FileCopyrightText: 2026 CoreWeave, Inc. +// SPDX-License-Identifier: MIT +// SPDX-PackageName: weave-claude-code + +import * as fs from 'fs'; +import * as path from 'path'; +import { Span, SpanStatusCode, Tracer } from '@opentelemetry/api'; +import { parseSessionFile } from './parser.js'; +import type { ToolCallDetail } from './parser.js'; +import { isCwdInScope } from './utils.js'; +import { + ATTR, + DEFAULT_AGENT_NAME, + emitChatSpansFromAssistantCalls, + jsonStr, + promptSnippet, + startInvokeAgentSpan, + startToolSpan, + startTurnSpan, + toolDisplayName, +} from './genaiSpans.js'; + +/** + * Daemonless span builder. Walks a completed Claude Code transcript (and its + * subagent transcripts on disk) in a single pass and emits the GenAI-convention + * span tree the Weave Agents view understands — the same tree the persistent + * daemon builds incrementally across hook events, reconstructed after the fact. + * + * Pure with respect to the OTel tracer: it only emits spans. The caller owns + * the exporter/provider and must flush (`provider.shutdown()`) after this + * returns. Returns the number of top-level turns emitted (0 if the transcript + * is missing or unparseable). + * + * v1 intentionally drops two non-structural, hook-only enrichments: permission + * events and compaction stats. Everything structural (turns, chat, tools, + * results, subagents, tokens, models, finish reasons) is recovered from the + * transcript. + */ +export interface BuildTraceOptions { + /** Current process session id (debug breadcrumb on every turn span). */ + sessionId: string; + /** Multi-turn stitching key; defaults to `sessionId`. */ + conversationId?: string; + cwd: string; + source: string; + /** Top-level agent name shown in the Agents view; defaults to `claude-code`. */ + agentName?: string; + pluginVersion: string; + /** Opt-in repo allowlist. Empty/omitted ⇒ trace everything (global default). + * Non-empty ⇒ emit nothing unless `cwd` is at/under a listed root. */ + traceRoots?: string[]; +} + +interface SubagentEntry { + agentType: string; + /** Spawning Agent tool_use id, when the meta carries it. Present for plain + * `Agent`-tool subagents; ABSENT for agent-teams teammates (their meta has + * only `agentType`), which is why we also correlate by type + dispatch order. */ + toolUseId?: string; + transcriptPath: string; + mtime: number; + consumed: boolean; +} + +/** + * List the subagent transcripts beside a transcript — one entry per + * `subagents/agent-*.meta.json` — oldest first (dispatch order). The meta always + * carries `agentType`; `toolUseId` only for plain `Agent`-tool subagents. Agent + * teams re-spawn a teammate of the same type multiple times, so a type can have + * several entries; FIFO ordering lets us correlate them to dispatches in order. + */ +function listSubagents(transcriptPath: string): SubagentEntry[] { + const subdir = path.join(transcriptPath.replace(/\.jsonl$/, ''), 'subagents'); + let files: string[]; + try { + files = fs.readdirSync(subdir); + } catch { + return []; + } + const out: SubagentEntry[] = []; + for (const f of files) { + if (!f.endsWith('.meta.json')) continue; + try { + const meta = JSON.parse(fs.readFileSync(path.join(subdir, f), 'utf8')) as Record; + const base = f.replace(/\.meta\.json$/, ''); + const tpath = path.join(subdir, `${base}.jsonl`); + if (!fs.existsSync(tpath)) continue; + let mtime = 0; + try { mtime = fs.statSync(tpath).mtimeMs; } catch { /* keep 0 */ } + out.push({ + agentType: typeof meta['agentType'] === 'string' ? (meta['agentType'] as string) : 'agent', + toolUseId: typeof meta['toolUseId'] === 'string' ? (meta['toolUseId'] as string) : undefined, + transcriptPath: tpath, + mtime, + consumed: false, + }); + } catch { + // Skip unreadable/corrupt meta files. + } + } + out.sort((a, b) => a.mtime - b.mtime); + return out; +} + +/** Claim the entry whose meta toolUseId matches (exact), if any. */ +function claimByToolUseId(pool: SubagentEntry[], id: string): SubagentEntry | undefined { + const e = pool.find(x => !x.consumed && x.toolUseId === id); + if (e) e.consumed = true; + return e; +} + +/** Claim the oldest unconsumed entry of a given agent type (FIFO). */ +function claimByType(pool: SubagentEntry[], agentType: string): SubagentEntry | undefined { + const e = pool.find(x => !x.consumed && x.agentType === agentType); + if (e) e.consumed = true; + return e; +} + +export function buildTrace(tracer: Tracer, transcriptPath: string, opts: BuildTraceOptions): number { + // Scope gate: out-of-scope sessions emit nothing (single enforcement point, + // mirroring the daemon's turn-span gate — no turn span ⇒ no child spans). + if (!isCwdInScope(opts.cwd, opts.traceRoots ?? [])) return 0; + + const parsed = parseSessionFile(transcriptPath); + if (!parsed) return 0; + + const conversationId = opts.conversationId ?? opts.sessionId; + const agentName = opts.agentName || DEFAULT_AGENT_NAME; + const pool = listSubagents(transcriptPath); + // Most-recent invoke_agent span per agent type — where re-spawned teammates + // (extra same-type transcripts) attach in the leftover pass. + const lastInvokeByType = new Map(); + + let turnNumber = 0; + let lastTurnSpan: Span | undefined; + for (const turn of parsed.turns) { + turnNumber += 1; + const prompt = turn.prompt(); + const requestModel = turn.primaryModel(); + + const turnSpan = startTurnSpan(tracer, { + sessionId: opts.sessionId, + conversationId, + turnNumber, + prompt, + cwd: opts.cwd, + source: opts.source, + pluginVersion: opts.pluginVersion, + agentName, + requestModel, + displayName: `Turn ${turnNumber}: ${promptSnippet(prompt)}`, + }); + lastTurnSpan = turnSpan; + + emitChatSpansFromAssistantCalls(tracer, turnSpan, conversationId, turn.assistantCalls()); + + let toolCount = 0; + for (const tc of turn.toolCalls()) { + toolCount += 1; + emitToolCall(tracer, turnSpan, conversationId, tc, pool, lastInvokeByType, opts); + } + + const finishReasons = turn + .assistantCalls() + .map(c => c.finishReason) + .filter((r): r is string => !!r); + if (finishReasons.length) turnSpan.setAttribute(ATTR.RESPONSE_FINISH_REASONS, finishReasons); + if (requestModel) turnSpan.setAttribute(ATTR.RESPONSE_MODEL, requestModel); + turnSpan.setAttribute(ATTR.WEAVE_TURN_TOOL_COUNT, toolCount); + const outText = turn.textBlocks().join('\n'); + if (outText) { + turnSpan.setAttribute(ATTR.OUTPUT_MESSAGES, jsonStr([{ role: 'assistant', content: outText }])); + } + turnSpan.end(); + } + + // Leftover pass: subagent transcripts not claimed by a spawning Agent call — + // agent-teams re-spawns (extra same-type transcripts) and orphan teammates. + emitLeftoverSubagents(tracer, conversationId, pool, lastInvokeByType, lastTurnSpan, opts); + + return turnNumber; +} + +/** + * Emit subagent transcripts that no `Agent` tool_use claimed. Re-spawns attach + * under the existing invoke_agent span for their type (so coordinator-level + * child count stays equal to the number of Agent calls — matching the daemon). + * A type never seen at the coordinator level gets a fresh invoke_agent under the + * last turn span. + */ +function emitLeftoverSubagents( + tracer: Tracer, + conversationId: string, + pool: SubagentEntry[], + lastInvokeByType: Map, + fallbackParent: Span | undefined, + opts: BuildTraceOptions, +): void { + for (const e of pool) { + if (e.consumed) continue; + e.consumed = true; + const existing = lastInvokeByType.get(e.agentType); + if (existing) { + emitAgentSubtree(tracer, existing, conversationId, e.transcriptPath, opts); + continue; + } + if (!fallbackParent) continue; + const invokeSpan = startInvokeAgentSpan(tracer, fallbackParent, { + agentType: e.agentType, + conversationId, + pluginVersion: opts.pluginVersion, + }); + emitAgentSubtree(tracer, invokeSpan, conversationId, e.transcriptPath, opts); + invokeSpan.end(); + lastInvokeByType.set(e.agentType, invokeSpan); + } +} + +/** + * Emit one tool call under `parentSpan`. An `Agent` tool call becomes a nested + * `invoke_agent` span (with its subagent's full subtree recursed in if the + * transcript is on disk); any other tool becomes an `execute_tool` span with + * its result attached. + */ +function emitToolCall( + tracer: Tracer, + parentSpan: Span, + conversationId: string, + tc: ToolCallDetail, + pool: SubagentEntry[], + lastInvokeByType: Map, + opts: BuildTraceOptions, +): void { + if (tc.toolName === 'Agent') { + // Correlate to a transcript. Order: exact toolUseId match (plain Agent + // subagents) → team-member `name` → `subagent_type`. Agent-teams teammates + // have no toolUseId in their meta; their meta `agentType` is the team-member + // NAME from the Agent call's `name` field, which differs from `subagent_type` + // (e.g. name="s1", subagent_type="storage-specialist"). + const subType = typeof tc.toolInput['subagent_type'] === 'string' + ? (tc.toolInput['subagent_type'] as string) : 'agent'; + const memberName = typeof tc.toolInput['name'] === 'string' + ? (tc.toolInput['name'] as string) : undefined; + const entry = claimByToolUseId(pool, tc.toolUseId) + ?? (memberName ? claimByType(pool, memberName) : undefined) + ?? claimByType(pool, subType); + // Label the span with the matched teammate's identity when we found one, so + // re-spawns key off the same type and nest together. + const agentType = entry?.agentType ?? memberName ?? subType; + const promptText = tc.toolInput['prompt']; + const invokeSpan = startInvokeAgentSpan(tracer, parentSpan, { + agentType, + conversationId, + pluginVersion: opts.pluginVersion, + inputMessages: promptText ? [{ role: 'user', content: promptText }] : undefined, + spawningToolCallId: tc.toolUseId, + displayName: toolDisplayName('Agent', tc.toolInput), + }); + lastInvokeByType.set(agentType, invokeSpan); + if (entry) { + emitAgentSubtree(tracer, invokeSpan, conversationId, entry.transcriptPath, opts); + } + invokeSpan.end(); + return; + } + + const toolSpan = startToolSpan(tracer, parentSpan, { + toolName: tc.toolName, + toolUseId: tc.toolUseId, + toolInput: tc.toolInput, + displayName: toolDisplayName(tc.toolName, tc.toolInput), + }); + if (tc.toolResult !== undefined) { + toolSpan.setAttribute(ATTR.TOOL_CALL_RESULT, jsonStr(tc.toolResult)); + } + if (tc.isError) { + toolSpan.setAttribute(ATTR.ERROR_TYPE, 'tool_error'); + toolSpan.setStatus({ code: SpanStatusCode.ERROR }); + } + toolSpan.end(); +} + +/** + * Recurse a subagent transcript under its `invoke_agent` span: emit chat spans + * for ALL turns (subagents/teammates do real work across multiple turns — the + * daemon's last-turn-only path dropped earlier-turn tool calls) and the + * subagent's own tool calls, recursing into nested subagents found beside the + * subagent transcript. Sets the response model from the subagent's primary + * model. The caller ends the invoke_agent span. + */ +function emitAgentSubtree( + tracer: Tracer, + invokeSpan: Span, + conversationId: string, + agentTranscriptPath: string, + opts: BuildTraceOptions, +): void { + const parsed = parseSessionFile(agentTranscriptPath); + if (!parsed) return; + // A subagent can itself spawn subagents — correlate them with the same + // pool + leftover strategy, recursively (arbitrary nesting depth). + const nested = listSubagents(agentTranscriptPath); + const nestedLastInvoke = new Map(); + + let model: string | undefined; + for (const turn of parsed.turns) { + emitChatSpansFromAssistantCalls(tracer, invokeSpan, conversationId, turn.assistantCalls()); + for (const tc of turn.toolCalls()) { + emitToolCall(tracer, invokeSpan, conversationId, tc, nested, nestedLastInvoke, opts); + } + model = turn.primaryModel() ?? model; + } + emitLeftoverSubagents(tracer, conversationId, nested, nestedLastInvoke, invokeSpan, opts); + if (model) invokeSpan.setAttribute(ATTR.RESPONSE_MODEL, model); +} diff --git a/src/cli.ts b/src/cli.ts index f25f212..18f3d77 100644 --- a/src/cli.ts +++ b/src/cli.ts @@ -28,6 +28,7 @@ import { } from './setup.js'; import { prompt, sendToSocket, probeUnixSocket, SocketState } from './utils.js'; import { runDaemon } from './daemon.js'; +import { runSessionEnd } from './sessionEnd.js'; import { DEFAULT_AGENT_NAME } from './genaiSpans.js'; // --------------------------------------------------------------------------- @@ -326,7 +327,7 @@ async function cmdConfig(args: string[]): Promise { process.exit(1); } - const writableKeys = ['weave_project', 'wandb_api_key', 'agent_name', 'daemon_socket', 'debug']; + const writableKeys = ['weave_project', 'wandb_api_key', 'agent_name', 'daemon_socket', 'debug', 'trace_mode']; if (!writableKeys.includes(key)) { console.error(`Cannot set '${key}'. Writable keys: ${writableKeys.join(', ')}`); process.exit(1); @@ -342,6 +343,11 @@ async function cmdConfig(args: string[]): Promise { process.exit(1); } + if (key === 'trace_mode' && value !== 'daemon' && value !== 'session-end') { + console.error(`Invalid value for trace_mode: '${value}'\nExpected: daemon or session-end`); + process.exit(1); + } + let settings: Settings; try { settings = loadSettings(); @@ -713,6 +719,43 @@ async function cmdUninstall(keepLogs: boolean): Promise { // Entry point // --------------------------------------------------------------------------- +function readStdin(): Promise { + return new Promise((resolve) => { + let data = ''; + process.stdin.setEncoding('utf8'); + process.stdin.on('data', (chunk) => { data += chunk; }); + process.stdin.on('end', () => resolve(data)); + process.stdin.on('error', () => resolve(data)); + }); +} + +/** + * Daemonless `session-end` command: reads the SessionEnd hook payload from + * stdin, builds the full span tree from the transcript, and uploads. Always + * exits 0 — a tracing failure must never disrupt Claude Code. + */ +async function cmdSessionEnd(): Promise { + let settings: Settings; + try { + settings = loadSettings(); + } catch { + return; // not configured — nothing to do + } + const raw = await readStdin(); + const debug = !!process.env['WEAVE_CLAUDE_DEBUG'] || settings.debug === true; + try { + const result = await runSessionEnd(raw, settings, process.env); + // Under debug, leave a breadcrumb (the hook redirects our stderr to the + // error log) so "why are there no traces?" is diagnosable. + if (debug) { + console.error(`weave session-end: ${result.status}${result.reason ? ` (${result.reason})` : ''} turns=${result.turns}`); + } + } catch (err) { + if (debug) console.error(`weave session-end: error ${err}`); + // Swallow: never fail the hook. + } +} + async function main(): Promise { const args = process.argv.slice(2); const cmd = args[0]; @@ -768,6 +811,11 @@ async function main(): Promise { return; } + if (cmd === 'session-end') { + await cmdSessionEnd(); + return; + } + console.error(`Unknown command: ${cmd}\nRun 'weave-claude-code --help' for usage.`); process.exit(1); } diff --git a/src/parser.ts b/src/parser.ts index 09802fd..74ad8be 100644 --- a/src/parser.ts +++ b/src/parser.ts @@ -27,11 +27,29 @@ export interface AssistantCallDetail { finishReason?: string; // stop_reason / finish_reason if present } +/** + * A single tool invocation within a turn: the assistant's `tool_use` block + * paired with the `tool_result` that came back (in a later user message, keyed + * by `tool_use_id`). `toolResult` is undefined when no result is present in the + * transcript yet (e.g. an interrupted session). + */ +export interface ToolCallDetail { + toolName: string; + toolUseId: string; + toolInput: Record; + toolResult?: unknown; + isError: boolean; +} + export interface Turn { totalUsage(): UsageSummary; primaryModel(): string | undefined; textBlocks(): string[]; assistantCalls(): AssistantCallDetail[]; + /** tool_use blocks in this turn, each paired with its tool_result. */ + toolCalls(): ToolCallDetail[]; + /** Text of the user message that triggered this turn (empty if unknown). */ + prompt(): string; } export interface ParsedSession { @@ -101,11 +119,24 @@ interface AssistantLine { prevTimestamp?: string; } +/** Result payload for a single tool_use, keyed by tool_use_id session-wide. */ +interface ToolResultEntry { + result: unknown; + isError: boolean; +} + function buildSession(lines: unknown[]): ParsedSession { const turns: Turn[] = []; let currentAssistantLines: AssistantLine[] = []; let prevTimestamp: string | undefined; + // tool_use_ids are globally unique within a session, so a single shared map + // is sufficient. buildTurn's toolCalls() reads this lazily, so results that + // arrive after the turn was constructed are still paired correctly. + const toolResults = new Map(); + // Prompt text of the user message that triggered the in-progress turn. + let currentPrompt = ''; + for (const line of lines) { const entry = line as Record; const message = entry['message'] as Record | undefined; @@ -119,11 +150,26 @@ function buildSession(lines: unknown[]): ParsedSession { const rawContent = message?.['content']; const content = Array.isArray(rawContent) ? rawContent as Array> : []; - // A user message with text content marks the end of the previous turn. + // Collect tool_result blocks before the turn-end check (a user message + // can carry results without text and must not be missed). + for (const block of content) { + if (block['type'] === 'tool_result' && typeof block['tool_use_id'] === 'string') { + toolResults.set(block['tool_use_id'] as string, { + result: block['content'], + isError: block['is_error'] === true, + }); + } + } + + // A user message with text content marks the end of the previous turn + // and is the prompt for the next one. const hasText = typeof rawContent === 'string' || content.some(block => block['type'] === 'text'); - if (hasText && currentAssistantLines.length > 0) { - turns.push(buildTurn(currentAssistantLines)); - currentAssistantLines = []; + if (hasText) { + if (currentAssistantLines.length > 0) { + turns.push(buildTurn(currentAssistantLines, toolResults, currentPrompt)); + currentAssistantLines = []; + } + currentPrompt = extractUserText(rawContent, content); } } @@ -131,13 +177,24 @@ function buildSession(lines: unknown[]): ParsedSession { } if (currentAssistantLines.length > 0) { - turns.push(buildTurn(currentAssistantLines)); + turns.push(buildTurn(currentAssistantLines, toolResults, currentPrompt)); } return { turns }; } -function buildTurn(assistantLines: AssistantLine[]): Turn { +function extractUserText(rawContent: unknown, content: Array>): string { + if (typeof rawContent === 'string') return rawContent; + const parts: string[] = []; + for (const block of content) { + if (block['type'] === 'text' && typeof block['text'] === 'string') { + parts.push(block['text'] as string); + } + } + return parts.join('\n'); +} + +function buildTurn(assistantLines: AssistantLine[], toolResults: Map, prompt: string): Turn { const calls: AssistantCallDetail[] = assistantLines.map(({ line, prevTimestamp }) => { const message = line['message'] as Record | undefined; const rawUsage = (message?.['usage'] ?? line['usage'] ?? {}) as Record; @@ -179,11 +236,36 @@ function buildTurn(assistantLines: AssistantLine[]): Turn { const texts = calls.flatMap(call => extractAssistantTextBlocks(call.contentBlocks)); + const toolCalls = (): ToolCallDetail[] => { + const out: ToolCallDetail[] = []; + for (const call of calls) { + for (const block of call.contentBlocks) { + if (!block || typeof block !== 'object') continue; + const obj = block as Record; + if (obj['type'] !== 'tool_use' || typeof obj['id'] !== 'string') continue; + // Skip malformed blocks with no tool name — avoids emitting an + // `execute_tool ` span with a trailing-space name. + if (typeof obj['name'] !== 'string' || !(obj['name'] as string)) continue; + const result = toolResults.get(obj['id'] as string); + out.push({ + toolName: obj['name'] as string, + toolUseId: obj['id'] as string, + toolInput: (obj['input'] as Record) ?? {}, + toolResult: result?.result, + isError: result?.isError ?? false, + }); + } + } + return out; + }; + return { totalUsage: () => totalUsageValue, primaryModel: () => model, textBlocks: () => texts, assistantCalls: () => calls, + toolCalls, + prompt: () => prompt, }; } diff --git a/src/sessionEnd.ts b/src/sessionEnd.ts new file mode 100644 index 0000000..88f91af --- /dev/null +++ b/src/sessionEnd.ts @@ -0,0 +1,113 @@ +// SPDX-FileCopyrightText: 2026 CoreWeave, Inc. +// SPDX-License-Identifier: MIT +// SPDX-PackageName: weave-claude-code + +import { Tracer } from '@opentelemetry/api'; +import { buildTrace } from './buildTrace.js'; +import { createTracerProvider } from './tracerProvider.js'; +import { DEFAULT_AGENT_NAME } from './genaiSpans.js'; +import { VERSION } from './version.mjs'; +import type { Settings } from './setup.js'; + +/** Subset of the SessionEnd hook payload the builder needs. */ +interface SessionEndPayload { + session_id?: string; + transcript_path?: string; + cwd?: string; + source?: string; +} + +/** Minimal provider shape so tests can inject an in-memory provider. */ +export interface ProviderLike { + getTracer(name: string, version?: string): Tracer; + shutdown(): Promise; +} + +export interface SessionEndResult { + status: 'ok' | 'skipped'; + reason?: string; + turns: number; +} + +/** + * Resolve `trace_roots` from env (comma-separated `WEAVE_TRACE_ROOTS`) or the + * settings file. Env wins. Empty ⇒ global (trace everything). + */ +export function resolveTraceRoots(settings: Settings, env: NodeJS.ProcessEnv): string[] { + const fromEnv = env['WEAVE_TRACE_ROOTS']; + if (fromEnv && fromEnv.trim()) { + return fromEnv.split(',').map(s => s.trim()).filter(Boolean); + } + const fromSettings = (settings as unknown as Record)['trace_roots']; + if (Array.isArray(fromSettings)) { + return fromSettings.filter((r): r is string => typeof r === 'string' && !!r.trim()); + } + return []; +} + +/** + * Daemonless SessionEnd handler: parse the hook payload, resolve Weave config + * the same way the daemon does, build the full span tree from the (now + * complete) transcript in one pass, and flush the exporter before returning. + * + * Never throws on missing config or bad input — returns a `skipped` result so + * the hook can exit 0 and never disrupt Claude Code. `makeProvider` is + * injectable for tests; production uses the real OTLP provider. + */ +export async function runSessionEnd( + rawPayload: string, + settings: Settings, + env: NodeJS.ProcessEnv, + makeProvider: (args: Parameters[0]) => ProviderLike = createTracerProvider, +): Promise { + let payload: SessionEndPayload; + try { + payload = JSON.parse(rawPayload) as SessionEndPayload; + } catch { + return { status: 'skipped', reason: 'unparseable payload', turns: 0 }; + } + + const sessionId = payload.session_id; + const transcriptPath = payload.transcript_path; + if (!sessionId || !transcriptPath) { + return { status: 'skipped', reason: 'missing session_id or transcript_path', turns: 0 }; + } + + const weaveProject = env['WEAVE_PROJECT'] ?? settings.weave_project ?? null; + const apiKey = env['WANDB_API_KEY'] ?? settings.wandb_api_key ?? null; + if (!weaveProject || !apiKey) { + return { status: 'skipped', reason: 'weave_project or WANDB_API_KEY not set', turns: 0 }; + } + + const baseUrl = (env['WANDB_BASE_URL'] ?? 'https://trace.wandb.ai').replace(/\/+$/, ''); + const agentName = + env['WEAVE_AGENT_NAME']?.trim() || + settings.agent_name?.trim() || + DEFAULT_AGENT_NAME; + const debug = !!env['WEAVE_CLAUDE_DEBUG'] || settings.debug === true; + const traceRoots = resolveTraceRoots(settings, env); + + const provider = makeProvider({ weaveProject, apiKey, baseUrl, agentName, debug }); + const tracer = provider.getTracer('weave-claude-code', VERSION); + + let turns = 0; + try { + turns = buildTrace(tracer, transcriptPath, { + sessionId, + // Resume/forked-session conversation stitching is deferred; a fresh + // session's conversation id equals its session id. + conversationId: sessionId, + cwd: payload.cwd ?? '', + source: payload.source ?? 'session-end', + agentName, + pluginVersion: VERSION, + traceRoots, + }); + } finally { + // Flush pending batches before exit — the daemonless equivalent of the + // daemon's shutdown-time provider.shutdown(). + await provider.shutdown(); + } + + return { status: 'ok', turns }; +} diff --git a/src/setup.ts b/src/setup.ts index 969c25d..498a1a4 100644 --- a/src/setup.ts +++ b/src/setup.ts @@ -24,6 +24,12 @@ export interface Settings { installed_at: string; version: string; daemon_socket: string; + /** Tracing strategy. `daemon` (default) uses the persistent daemon. + * `session-end` is the daemonless path: a SessionEnd hook reconstructs the + * full span tree from the transcript in one pass and uploads — no daemon, + * no socket. Settings written before this field existed read as undefined, + * treated as `daemon`. */ + trace_mode?: 'daemon' | 'session-end'; } export interface ConfigResult { @@ -131,6 +137,7 @@ export function createConfig(configDir: string): ConfigResult { installed_at: new Date().toISOString(), version: VERSION, daemon_socket: path.join(configDir, 'daemon.sock'), + trace_mode: 'daemon', }; fs.writeFileSync(settingsFile, JSON.stringify(settings, null, 2)); diff --git a/src/tracerProvider.ts b/src/tracerProvider.ts new file mode 100644 index 0000000..27d4e12 --- /dev/null +++ b/src/tracerProvider.ts @@ -0,0 +1,57 @@ +// SPDX-FileCopyrightText: 2026 CoreWeave, Inc. +// SPDX-License-Identifier: MIT +// SPDX-PackageName: weave-claude-code + +import { diag, DiagConsoleLogger, DiagLogLevel } from '@opentelemetry/api'; +import { NodeTracerProvider } from '@opentelemetry/sdk-trace-node'; +import { BatchSpanProcessor } from '@opentelemetry/sdk-trace-base'; +import { resourceFromAttributes } from '@opentelemetry/resources'; +import { OTLPTraceExporter } from '@opentelemetry/exporter-trace-otlp-proto'; +import { VERSION } from './version.mjs'; + +export interface TracerProviderArgs { + /** `entity/project` — same format the daemon validates. */ + weaveProject: string; + apiKey: string; + /** Trace endpoint base, no trailing slash (e.g. `https://trace.wandb.ai`). */ + baseUrl: string; + /** Top-level agent name; also becomes `service.name`. */ + agentName: string; + debug?: boolean; +} + +/** + * Build a NodeTracerProvider wired to the Weave Agents OTLP endpoint. This is + * the exporter setup the daemon does in `GlobalDaemon.initTracer`, factored out + * so the daemonless session-end path constructs an identical provider. The + * daemon retains its own copy (additive discipline — this module is only used + * by the session-end path). Throws on a malformed `weaveProject`. + */ +export function createTracerProvider(args: TracerProviderArgs): NodeTracerProvider { + const [entity, project] = args.weaveProject.split('/', 2); + if (!entity || !project) { + throw new Error(`Invalid weave_project format: '${args.weaveProject}' (expected entity/project)`); + } + + if (args.debug) { + diag.setLogger(new DiagConsoleLogger(), DiagLogLevel.WARN); + } + + const resource = resourceFromAttributes({ + 'service.name': args.agentName, + 'service.version': VERSION, + 'wandb.entity': entity, + 'wandb.project': project, + }); + + const exporter = new OTLPTraceExporter({ + url: `${args.baseUrl}/agents/otel/v1/traces`, + headers: { 'wandb-api-key': args.apiKey }, + }); + + const provider = new NodeTracerProvider({ + resource, + spanProcessors: [new BatchSpanProcessor(exporter)], + }); + return provider; +} diff --git a/src/utils.ts b/src/utils.ts index 449be77..e77ed7e 100644 --- a/src/utils.ts +++ b/src/utils.ts @@ -8,6 +8,29 @@ import * as path from 'path'; import * as readline from 'readline'; import { spawnSync } from 'child_process'; +/** + * Decide whether a session whose working directory is `cwd` should be traced, + * given a `traceRoots` allowlist of absolute repo paths. + * + * - Empty `traceRoots` ⇒ global: every session is in scope. This is the + * default and keeps existing (machine-wide) behavior unchanged. + * - Non-empty ⇒ in scope only if `cwd` is at or under one of the roots. + * - Fail closed: with roots set but an empty/missing `cwd`, returns false — + * we can't prove the session belongs to a traced repo, so we don't trace it. + * + * Matching is by resolved-path boundary, so `/repo` matches `/repo` and + * `/repo/sub` but NOT `/repo-sibling`. + */ +export function isCwdInScope(cwd: string, traceRoots: string[]): boolean { + if (traceRoots.length === 0) return true; + if (!cwd) return false; + const resolved = path.resolve(cwd); + return traceRoots.some((root) => { + const r = path.resolve(root); + return resolved === r || resolved.startsWith(r + path.sep); + }); +} + export function prompt(question: string): Promise { return new Promise((resolve) => { const rl = readline.createInterface({ input: process.stdin, output: process.stdout }); diff --git a/tests/build-trace.test.ts b/tests/build-trace.test.ts new file mode 100644 index 0000000..3c14066 --- /dev/null +++ b/tests/build-trace.test.ts @@ -0,0 +1,244 @@ +// SPDX-FileCopyrightText: 2026 CoreWeave, Inc. +// SPDX-License-Identifier: MIT +// SPDX-PackageName: weave-claude-code + +// buildTrace is the daemonless core: a pure function that walks a transcript +// (and its subagent transcripts on disk) in one pass and emits the same span +// tree the daemon builds incrementally across hook events. + +import { test } from 'node:test'; +import assert from 'node:assert/strict'; +import * as fs from 'node:fs'; +import * as os from 'node:os'; +import * as path from 'node:path'; +import { + BasicTracerProvider, + InMemorySpanExporter, + SimpleSpanProcessor, + ReadableSpan, +} from '@opentelemetry/sdk-trace-base'; +import { buildTrace } from '../src/buildTrace.ts'; +import { ATTR, OP } from '../src/genaiSpans.ts'; + +function setup() { + const exporter = new InMemorySpanExporter(); + const provider = new BasicTracerProvider({ spanProcessors: [new SimpleSpanProcessor(exporter)] }); + return { tracer: provider.getTracer('test'), exporter, provider }; +} + +// Write a transcript under a fake ~/.claude/projects layout so subagent +// discovery (sibling /subagents/ dir) works. TranscriptFile requires +// the path to live under $HOME; tests run with a real HOME so /tmp won't do — +// we write under os.homedir() and clean up. +function makeSession(lines: unknown[]): { transcriptPath: string; dir: string } { + const base = fs.mkdtempSync(path.join(os.homedir(), '.wcp-buildtrace-')); + const transcriptPath = path.join(base, 'session.jsonl'); + fs.writeFileSync(transcriptPath, lines.map(l => JSON.stringify(l)).join('\n')); + return { transcriptPath, dir: base }; +} + +function addSubagent(dir: string, agentId: string, toolUseId: string, agentType: string, lines: unknown[]) { + const sub = path.join(dir, 'session', 'subagents'); + fs.mkdirSync(sub, { recursive: true }); + fs.writeFileSync(path.join(sub, `agent-${agentId}.jsonl`), lines.map(l => JSON.stringify(l)).join('\n')); + fs.writeFileSync(path.join(sub, `agent-${agentId}.meta.json`), JSON.stringify({ agentType, toolUseId })); +} + +const OPTS = { sessionId: 'sess-1', cwd: '/work', source: 'startup', agentName: 'tars', pluginVersion: '9.9.9' }; + +function names(spans: ReadableSpan[]) { return spans.map(s => s.name).sort(); } + +test('buildTrace: single turn with chat + paired tool span', () => { + const { tracer, exporter, provider } = setup(); + const { transcriptPath, dir } = makeSession([ + { type: 'user', message: { role: 'user', content: 'do a thing' }, timestamp: '2026-01-01T00:00:00Z' }, + { + type: 'assistant', timestamp: '2026-01-01T00:00:01Z', + message: { + role: 'assistant', model: 'claude-opus-4-8', stop_reason: 'tool_use', + usage: { input_tokens: 10, output_tokens: 4 }, + content: [ + { type: 'text', text: 'on it' }, + { type: 'tool_use', id: 'toolu_R', name: 'Read', input: { file_path: '/etc/hosts' } }, + ], + }, + }, + { + type: 'user', timestamp: '2026-01-01T00:00:02Z', + message: { role: 'user', content: [{ type: 'tool_result', tool_use_id: 'toolu_R', content: 'localhost' }] }, + }, + ]); + try { + const turns = buildTrace(tracer, transcriptPath, OPTS); + provider.forceFlush(); + assert.equal(turns, 1); + const spans = exporter.getFinishedSpans(); + + const turn = spans.find(s => s.name === 'invoke_agent tars')!; + assert.ok(turn, 'turn span emitted'); + assert.equal(turn.attributes[ATTR.OPERATION_NAME], OP.INVOKE_AGENT); + assert.equal(turn.attributes[ATTR.WEAVE_TURN_NUMBER], 1); + assert.equal(turn.attributes[ATTR.WEAVE_TURN_TOOL_COUNT], 1); + + const chat = spans.find(s => s.name === 'chat claude-opus-4-8')!; + assert.ok(chat, 'chat span emitted'); + assert.equal(chat.parentSpanContext?.spanId, turn.spanContext().spanId); + + const tool = spans.find(s => s.name === 'execute_tool Read')!; + assert.ok(tool, 'tool span emitted'); + assert.equal(tool.parentSpanContext?.spanId, turn.spanContext().spanId); + assert.equal(tool.attributes[ATTR.TOOL_CALL_ID], 'toolu_R'); + assert.equal(tool.attributes[ATTR.TOOL_CALL_RESULT], 'localhost'); + } finally { + fs.rmSync(dir, { recursive: true, force: true }); + } +}); + +test('buildTrace: Agent tool_use becomes invoke_agent with nested subagent subtree (all turns)', () => { + const { tracer, exporter, provider } = setup(); + const { transcriptPath, dir } = makeSession([ + { type: 'user', message: { role: 'user', content: 'delegate' }, timestamp: '2026-01-01T00:00:00Z' }, + { + type: 'assistant', timestamp: '2026-01-01T00:00:01Z', + message: { + role: 'assistant', model: 'claude-opus-4-8', usage: { input_tokens: 1, output_tokens: 1 }, + content: [{ type: 'tool_use', id: 'toolu_AG', name: 'Agent', input: { subagent_type: 'Explore', prompt: 'go look' } }], + }, + }, + { + type: 'user', timestamp: '2026-01-01T00:00:09Z', + message: { role: 'user', content: [{ type: 'tool_result', tool_use_id: 'toolu_AG', content: 'done' }] }, + }, + ]); + // Subagent ran two turns, each with a Bash call. All must be emitted. + addSubagent(dir, 'abc123', 'toolu_AG', 'Explore', [ + { type: 'user', message: { role: 'user', content: 'go look' }, timestamp: '2026-01-01T00:00:02Z' }, + { + type: 'assistant', timestamp: '2026-01-01T00:00:03Z', + message: { role: 'assistant', model: 'claude-haiku-4-5', usage: { input_tokens: 2, output_tokens: 2 }, + content: [{ type: 'tool_use', id: 'toolu_B1', name: 'Bash', input: { command: 'ls' } }] }, + }, + { type: 'user', message: { role: 'user', content: [{ type: 'tool_result', tool_use_id: 'toolu_B1', content: 'a b' }] }, timestamp: '2026-01-01T00:00:04Z' }, + { type: 'user', message: { role: 'user', content: 'now grep' }, timestamp: '2026-01-01T00:00:05Z' }, + { + type: 'assistant', timestamp: '2026-01-01T00:00:06Z', + message: { role: 'assistant', model: 'claude-haiku-4-5', usage: { input_tokens: 2, output_tokens: 2 }, + content: [{ type: 'tool_use', id: 'toolu_B2', name: 'Bash', input: { command: 'grep x' } }] }, + }, + { type: 'user', message: { role: 'user', content: [{ type: 'tool_result', tool_use_id: 'toolu_B2', content: 'x' }] }, timestamp: '2026-01-01T00:00:07Z' }, + ]); + try { + buildTrace(tracer, transcriptPath, OPTS); + provider.forceFlush(); + const spans = exporter.getFinishedSpans(); + + const turn = spans.find(s => s.name === 'invoke_agent tars')!; + const sub = spans.find(s => s.name === 'invoke_agent Explore')!; + assert.ok(sub, 'subagent invoke_agent span emitted'); + assert.equal(sub.parentSpanContext?.spanId, turn.spanContext().spanId, 'subagent nested under turn'); + assert.equal(sub.attributes[ATTR.WEAVE_SUBAGENT_SPAWNING_TOOL_CALL_ID], 'toolu_AG'); + + // Both Bash calls across both subagent turns must be present and nested under the subagent. + const bashes = spans.filter(s => s.name === 'execute_tool Bash'); + assert.equal(bashes.length, 2, 'both turns of subagent Bash calls emitted (all-turns)'); + for (const b of bashes) { + assert.equal(b.parentSpanContext?.spanId, sub.spanContext().spanId); + } + // No execute_tool Agent span — Agent maps to invoke_agent, not a tool span. + assert.equal(spans.filter(s => s.name === 'execute_tool Agent').length, 0); + } finally { + fs.rmSync(dir, { recursive: true, force: true }); + } +}); + +test('buildTrace: agent-teams teammates correlate by type when meta lacks toolUseId (+ re-spawn)', () => { + const { tracer, exporter, provider } = setup(); + const { transcriptPath, dir } = makeSession([ + { type: 'user', message: { role: 'user', content: 'triage' }, timestamp: '2026-01-01T00:00:00Z' }, + { + type: 'assistant', timestamp: '2026-01-01T00:00:01Z', + message: { + role: 'assistant', model: 'm', usage: { input_tokens: 1, output_tokens: 1 }, + content: [{ type: 'tool_use', id: 'toolu_TEAM', name: 'Agent', input: { subagent_type: 'cks-specialist', team_name: 'triage-x', prompt: 'go' } }], + }, + }, + { type: 'user', timestamp: '2026-01-01T00:00:09Z', message: { role: 'user', content: [{ type: 'tool_result', tool_use_id: 'toolu_TEAM', content: 'done' }] } }, + ]); + // Two teammate transcripts of the SAME type (original + re-spawn), meta has NO toolUseId. + const sub = path.join(dir, 'session', 'subagents'); + fs.mkdirSync(sub, { recursive: true }); + const teammate = (id: string, bashId: string) => { + fs.writeFileSync(path.join(sub, `agent-${id}.jsonl`), [ + { type: 'user', message: { role: 'user', content: 'go' }, timestamp: '2026-01-01T00:00:02Z' }, + { type: 'assistant', timestamp: '2026-01-01T00:00:03Z', message: { role: 'assistant', model: 'm', usage: {}, content: [{ type: 'tool_use', id: bashId, name: 'Bash', input: { command: 'ls' } }] } }, + { type: 'user', message: { role: 'user', content: [{ type: 'tool_result', tool_use_id: bashId, content: 'x' }] }, timestamp: '2026-01-01T00:00:04Z' }, + ].map(l => JSON.stringify(l)).join('\n')); + fs.writeFileSync(path.join(sub, `agent-${id}.meta.json`), JSON.stringify({ agentType: 'cks-specialist' })); + }; + teammate('t1', 'toolu_b1'); + teammate('t2', 'toolu_b2'); + try { + buildTrace(tracer, transcriptPath, OPTS); + provider.forceFlush(); + const spans = exporter.getFinishedSpans(); + const turn = spans.find(s => s.name === 'invoke_agent tars')!; + // ONE invoke_agent at coordinator level (= one Agent call), matching the daemon. + const invokes = spans.filter(s => s.name === 'invoke_agent cks-specialist'); + assert.equal(invokes.length, 1, 'one invoke_agent per Agent call'); + assert.equal(invokes[0].parentSpanContext?.spanId, turn.spanContext().spanId); + // BOTH teammate transcripts' Bash calls are captured (original + re-spawn), nested under it. + const bashes = spans.filter(s => s.name === 'execute_tool Bash'); + assert.equal(bashes.length, 2, 'both re-spawn transcripts captured'); + for (const b of bashes) assert.equal(b.parentSpanContext?.spanId, invokes[0].spanContext().spanId); + } finally { + fs.rmSync(dir, { recursive: true, force: true }); + } +}); + +test('buildTrace: multi-turn top-level produces one invoke_agent root per turn', () => { + const { tracer, exporter, provider } = setup(); + const { transcriptPath, dir } = makeSession([ + { type: 'user', message: { role: 'user', content: 'first' }, timestamp: '2026-01-01T00:00:00Z' }, + { type: 'assistant', timestamp: '2026-01-01T00:00:01Z', message: { role: 'assistant', model: 'm', usage: {}, content: [{ type: 'text', text: 'a' }] } }, + { type: 'user', message: { role: 'user', content: 'second' }, timestamp: '2026-01-01T00:00:02Z' }, + { type: 'assistant', timestamp: '2026-01-01T00:00:03Z', message: { role: 'assistant', model: 'm', usage: {}, content: [{ type: 'text', text: 'b' }] } }, + ]); + try { + const turns = buildTrace(tracer, transcriptPath, OPTS); + provider.forceFlush(); + assert.equal(turns, 2); + const roots = exporter.getFinishedSpans().filter(s => s.name === 'invoke_agent tars'); + assert.equal(roots.length, 2); + assert.deepEqual(roots.map(s => s.attributes[ATTR.WEAVE_TURN_NUMBER]).sort(), [1, 2]); + } finally { + fs.rmSync(dir, { recursive: true, force: true }); + } +}); + +test('buildTrace: out-of-scope cwd emits nothing (traceRoots gate)', () => { + const { tracer, exporter, provider } = setup(); + const { transcriptPath, dir } = makeSession([ + { type: 'user', message: { role: 'user', content: 'hi' }, timestamp: '2026-01-01T00:00:00Z' }, + { type: 'assistant', timestamp: '2026-01-01T00:00:01Z', message: { role: 'assistant', model: 'm', usage: {}, content: [{ type: 'text', text: 'a' }] } }, + ]); + try { + // In-scope root → emits; sibling-prefix root → emits nothing. + const inScope = buildTrace(tracer, transcriptPath, { ...OPTS, cwd: '/work/repo', traceRoots: ['/work/repo'] }); + assert.equal(inScope, 1); + const out = buildTrace(tracer, transcriptPath, { ...OPTS, cwd: '/work/repo', traceRoots: ['/work/repo-sibling'] }); + provider.forceFlush(); + assert.equal(out, 0); + // Only the in-scope pass produced a turn span. + assert.equal(exporter.getFinishedSpans().filter(s => s.name === 'invoke_agent tars').length, 1); + } finally { + fs.rmSync(dir, { recursive: true, force: true }); + } +}); + +test('buildTrace: missing transcript returns 0, emits nothing', () => { + const { tracer, exporter, provider } = setup(); + const turns = buildTrace(tracer, path.join(os.homedir(), '.wcp-does-not-exist', 'x.jsonl'), OPTS); + provider.forceFlush(); + assert.equal(turns, 0); + assert.equal(exporter.getFinishedSpans().length, 0); +}); diff --git a/tests/parser-tool-calls.test.ts b/tests/parser-tool-calls.test.ts new file mode 100644 index 0000000..ee993f1 --- /dev/null +++ b/tests/parser-tool-calls.test.ts @@ -0,0 +1,86 @@ +// SPDX-FileCopyrightText: 2026 CoreWeave, Inc. +// SPDX-License-Identifier: MIT +// SPDX-PackageName: weave-claude-code + +// Parser must expose per-turn tool calls, each tool_use paired with its +// tool_result (the result arrives in a later user message, keyed by +// tool_use_id). The daemonless builder needs this to emit execute_tool spans +// with results in one pass over the transcript. + +import { test } from 'node:test'; +import assert from 'node:assert/strict'; +import * as fs from 'node:fs'; +import * as os from 'node:os'; +import * as path from 'node:path'; +import { parseSessionFile } from '../src/parser.ts'; + +function writeTranscript(lines: unknown[]): string { + const dir = fs.mkdtempSync(path.join(os.tmpdir(), 'wcp-parse-')); + const file = path.join(dir, 'session.jsonl'); + fs.writeFileSync(file, lines.map(l => JSON.stringify(l)).join('\n')); + return file; +} + +test('toolCalls(): pairs tool_use with its tool_result and is_error', () => { + const file = writeTranscript([ + { type: 'user', message: { role: 'user', content: 'hi' }, timestamp: '2026-01-01T00:00:00Z' }, + { + type: 'assistant', + timestamp: '2026-01-01T00:00:01Z', + message: { + role: 'assistant', model: 'claude-opus-4-8', usage: { input_tokens: 10, output_tokens: 5 }, + content: [ + { type: 'text', text: 'reading' }, + { type: 'tool_use', id: 'toolu_AAA', name: 'Read', input: { file_path: '/x' } }, + { type: 'tool_use', id: 'toolu_BBB', name: 'Bash', input: { command: 'false' } }, + ], + }, + }, + { + type: 'user', + timestamp: '2026-01-01T00:00:02Z', + message: { + role: 'user', content: [ + { type: 'tool_result', tool_use_id: 'toolu_AAA', content: 'file contents' }, + { type: 'tool_result', tool_use_id: 'toolu_BBB', content: 'boom', is_error: true }, + ], + }, + }, + { type: 'user', message: { role: 'user', content: 'next' }, timestamp: '2026-01-01T00:00:03Z' }, + ]); + + const parsed = parseSessionFile(file); + assert.ok(parsed); + assert.equal(parsed!.turns.length, 1); + const calls = parsed!.turns[0].toolCalls(); + assert.equal(calls.length, 2); + + const read = calls.find(c => c.toolUseId === 'toolu_AAA')!; + assert.equal(read.toolName, 'Read'); + assert.deepEqual(read.toolInput, { file_path: '/x' }); + assert.equal(read.toolResult, 'file contents'); + assert.equal(read.isError, false); + + const bash = calls.find(c => c.toolUseId === 'toolu_BBB')!; + assert.equal(bash.toolName, 'Bash'); + assert.equal(bash.toolResult, 'boom'); + assert.equal(bash.isError, true); +}); + +test('toolCalls(): tool_use with no result yet has undefined result', () => { + const file = writeTranscript([ + { type: 'user', message: { role: 'user', content: 'hi' }, timestamp: '2026-01-01T00:00:00Z' }, + { + type: 'assistant', timestamp: '2026-01-01T00:00:01Z', + message: { + role: 'assistant', model: 'm', usage: {}, + content: [{ type: 'tool_use', id: 'toolu_C', name: 'Glob', input: { pattern: '*' } }], + }, + }, + ]); + const parsed = parseSessionFile(file); + const calls = parsed!.turns[0].toolCalls(); + assert.equal(calls.length, 1); + assert.equal(calls[0].toolResult, undefined); + assert.equal(calls[0].isError, false); +}); diff --git a/tests/session-end.test.ts b/tests/session-end.test.ts new file mode 100644 index 0000000..1f7ae4b --- /dev/null +++ b/tests/session-end.test.ts @@ -0,0 +1,106 @@ +// SPDX-FileCopyrightText: 2026 CoreWeave, Inc. +// SPDX-License-Identifier: MIT +// SPDX-PackageName: weave-claude-code + +// runSessionEnd is the daemonless SessionEnd handler: parse payload → resolve +// config → buildTrace → flush. Tested with an injected in-memory provider so no +// network/daemon is involved. Config-gating and flush behavior are the focus; +// span-tree correctness is covered by build-trace.test.ts. + +import { test } from 'node:test'; +import assert from 'node:assert/strict'; +import * as fs from 'node:fs'; +import * as os from 'node:os'; +import * as path from 'node:path'; +import { + BasicTracerProvider, + InMemorySpanExporter, + SimpleSpanProcessor, +} from '@opentelemetry/sdk-trace-base'; +import { runSessionEnd, resolveTraceRoots, ProviderLike } from '../src/sessionEnd.ts'; +import type { Settings } from '../src/setup.ts'; + +const SETTINGS: Settings = { + log_file: '/tmp/x.log', weave_project: 'ent/proj', wandb_api_key: 'k', + agent_name: 'tars', debug: false, installed_at: '2026-01-01T00:00:00Z', + version: '0.0.0', daemon_socket: '/tmp/x.sock', trace_mode: 'session-end', +}; + +function makeTranscript(): { transcriptPath: string; dir: string } { + const dir = fs.mkdtempSync(path.join(os.homedir(), '.wcp-se-')); + const transcriptPath = path.join(dir, 'session.jsonl'); + fs.writeFileSync(transcriptPath, [ + { type: 'user', message: { role: 'user', content: 'hi' }, timestamp: '2026-01-01T00:00:00Z' }, + { type: 'assistant', timestamp: '2026-01-01T00:00:01Z', message: { role: 'assistant', model: 'm', usage: {}, content: [{ type: 'text', text: 'ok' }] } }, + ].map(l => JSON.stringify(l)).join('\n')); + return { transcriptPath, dir }; +} + +function injectedProvider(): { make: () => ProviderLike; exporter: InMemorySpanExporter; shutdowns: number } { + const exporter = new InMemorySpanExporter(); + const provider = new BasicTracerProvider({ spanProcessors: [new SimpleSpanProcessor(exporter)] }); + const state = { shutdowns: 0 }; + const wrapper: ProviderLike = { + getTracer: (n, v) => provider.getTracer(n, v), + // Count the flush but use forceFlush, not shutdown — InMemorySpanExporter + // clears its buffer on shutdown(), which would erase what we assert on. + shutdown: async () => { state.shutdowns += 1; await provider.forceFlush(); }, + }; + return { make: () => wrapper, exporter, get shutdowns() { return state.shutdowns; } } as any; +} + +test('runSessionEnd: builds spans and flushes the provider', async () => { + const { transcriptPath, dir } = makeTranscript(); + const inj = injectedProvider(); + try { + const payload = JSON.stringify({ hook_event_name: 'SessionEnd', session_id: 's1', transcript_path: transcriptPath, cwd: '/w' }); + const res = await runSessionEnd(payload, SETTINGS, {}, inj.make); + assert.equal(res.status, 'ok'); + assert.equal(res.turns, 1); + assert.equal((inj as any).shutdowns, 1, 'provider flushed exactly once'); + assert.ok(inj.exporter.getFinishedSpans().some(s => s.name === 'invoke_agent tars')); + } finally { + fs.rmSync(dir, { recursive: true, force: true }); + } +}); + +test('runSessionEnd: skips when weave_project/api key unset', async () => { + const { transcriptPath, dir } = makeTranscript(); + const inj = injectedProvider(); + try { + const payload = JSON.stringify({ hook_event_name: 'SessionEnd', session_id: 's1', transcript_path: transcriptPath }); + const res = await runSessionEnd(payload, { ...SETTINGS, weave_project: null }, {}, inj.make); + assert.equal(res.status, 'skipped'); + assert.equal(inj.exporter.getFinishedSpans().length, 0); + } finally { + fs.rmSync(dir, { recursive: true, force: true }); + } +}); + +test('runSessionEnd: skips unparseable / incomplete payloads without throwing', async () => { + const inj = injectedProvider(); + assert.equal((await runSessionEnd('not json', SETTINGS, {}, inj.make)).status, 'skipped'); + assert.equal((await runSessionEnd('{}', SETTINGS, {}, inj.make)).status, 'skipped'); +}); + +test('runSessionEnd: env WANDB_API_KEY/WEAVE_PROJECT override settings', async () => { + const { transcriptPath, dir } = makeTranscript(); + const inj = injectedProvider(); + try { + const payload = JSON.stringify({ hook_event_name: 'SessionEnd', session_id: 's1', transcript_path: transcriptPath }); + const res = await runSessionEnd(payload, { ...SETTINGS, weave_project: null, wandb_api_key: null }, + { WEAVE_PROJECT: 'e/p', WANDB_API_KEY: 'kk' } as NodeJS.ProcessEnv, inj.make); + assert.equal(res.status, 'ok'); + } finally { + fs.rmSync(dir, { recursive: true, force: true }); + } +}); + +test('resolveTraceRoots: env (comma-sep) wins over settings; empty default', () => { + assert.deepEqual(resolveTraceRoots(SETTINGS, {}), []); + assert.deepEqual(resolveTraceRoots({ ...SETTINGS, ...({ trace_roots: ['/a', '/b'] } as any) }, {}), ['/a', '/b']); + assert.deepEqual( + resolveTraceRoots({ ...SETTINGS, ...({ trace_roots: ['/a'] } as any) }, { WEAVE_TRACE_ROOTS: '/x, /y ' } as NodeJS.ProcessEnv), + ['/x', '/y'], + ); +}); From 5910dcd4e41e3049e0c8a230c00eeaca27f35abd Mon Sep 17 00:00:00 2001 From: Tito Citrin Date: Mon, 15 Jun 2026 09:04:47 -0400 Subject: [PATCH 02/11] fix(trace): defer ending invoke_agent spans until after the leftover pass MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Live e2e against a real agent-teams /triage transcript surfaced "operation on ended Span" warnings: the re-spawn leftover pass attaches a teammate transcript (and sets RESPONSE_MODEL) onto the invoke_agent span created by the spawning Agent call — but that span was already .end()ed in emitToolCall, so the setAttribute was silently dropped. Defer all invoke_agent .end() calls into an openInvokes list flushed after the leftover pass (top level and recursively in emitAgentSubtree). Child spans were already exported correctly (parent context only needs a valid span id), so span counts/nesting are unchanged — this just lets re-spawn attribute writes land. Regression test: a re-spawn supplies the model the claimed transcript lacks, so RESPONSE_MODEL can only appear if the span is still open. Verified end-to-end: session-end → live OTLP → W&B Agents store shows all 6 specialists nested as turn-children with full tool subtrees, no warnings. Co-Authored-By: Claude Opus 4.8 (1M context) --- src/buildTrace.ts | 29 ++++++++++++++++++++++------- tests/build-trace.test.ts | 38 ++++++++++++++++++++++++++++++++++++++ 2 files changed, 60 insertions(+), 7 deletions(-) diff --git a/src/buildTrace.ts b/src/buildTrace.ts index 11f4247..1b166ec 100644 --- a/src/buildTrace.ts +++ b/src/buildTrace.ts @@ -131,6 +131,11 @@ export function buildTrace(tracer: Tracer, transcriptPath: string, opts: BuildTr // (extra same-type transcripts) attach in the leftover pass. const lastInvokeByType = new Map(); + // invoke_agent spans are ended only after the leftover pass — re-spawned + // teammates attach (and set attributes) on the existing span for their type, + // so it must stay open until all leftovers are processed. + const openInvokes: Span[] = []; + let turnNumber = 0; let lastTurnSpan: Span | undefined; for (const turn of parsed.turns) { @@ -157,7 +162,7 @@ export function buildTrace(tracer: Tracer, transcriptPath: string, opts: BuildTr let toolCount = 0; for (const tc of turn.toolCalls()) { toolCount += 1; - emitToolCall(tracer, turnSpan, conversationId, tc, pool, lastInvokeByType, opts); + emitToolCall(tracer, turnSpan, conversationId, tc, pool, lastInvokeByType, openInvokes, opts); } const finishReasons = turn @@ -176,7 +181,10 @@ export function buildTrace(tracer: Tracer, transcriptPath: string, opts: BuildTr // Leftover pass: subagent transcripts not claimed by a spawning Agent call — // agent-teams re-spawns (extra same-type transcripts) and orphan teammates. - emitLeftoverSubagents(tracer, conversationId, pool, lastInvokeByType, lastTurnSpan, opts); + emitLeftoverSubagents(tracer, conversationId, pool, lastInvokeByType, lastTurnSpan, openInvokes, opts); + + // All invoke_agent spans are now fully populated — close them. + for (const s of openInvokes) s.end(); return turnNumber; } @@ -194,6 +202,7 @@ function emitLeftoverSubagents( pool: SubagentEntry[], lastInvokeByType: Map, fallbackParent: Span | undefined, + openInvokes: Span[], opts: BuildTraceOptions, ): void { for (const e of pool) { @@ -201,6 +210,7 @@ function emitLeftoverSubagents( e.consumed = true; const existing = lastInvokeByType.get(e.agentType); if (existing) { + // existing is still open (ended only after this pass) — safe to append. emitAgentSubtree(tracer, existing, conversationId, e.transcriptPath, opts); continue; } @@ -211,8 +221,8 @@ function emitLeftoverSubagents( pluginVersion: opts.pluginVersion, }); emitAgentSubtree(tracer, invokeSpan, conversationId, e.transcriptPath, opts); - invokeSpan.end(); lastInvokeByType.set(e.agentType, invokeSpan); + openInvokes.push(invokeSpan); // ended by the caller after the full pass } } @@ -229,6 +239,7 @@ function emitToolCall( tc: ToolCallDetail, pool: SubagentEntry[], lastInvokeByType: Map, + openInvokes: Span[], opts: BuildTraceOptions, ): void { if (tc.toolName === 'Agent') { @@ -260,7 +271,8 @@ function emitToolCall( if (entry) { emitAgentSubtree(tracer, invokeSpan, conversationId, entry.transcriptPath, opts); } - invokeSpan.end(); + // Ended by the caller after the leftover pass — re-spawns may still attach. + openInvokes.push(invokeSpan); return; } @@ -298,18 +310,21 @@ function emitAgentSubtree( const parsed = parseSessionFile(agentTranscriptPath); if (!parsed) return; // A subagent can itself spawn subagents — correlate them with the same - // pool + leftover strategy, recursively (arbitrary nesting depth). + // pool + leftover strategy, recursively (arbitrary nesting depth). Nested + // invoke_agent spans are ended only after this subtree's own leftover pass. const nested = listSubagents(agentTranscriptPath); const nestedLastInvoke = new Map(); + const nestedOpen: Span[] = []; let model: string | undefined; for (const turn of parsed.turns) { emitChatSpansFromAssistantCalls(tracer, invokeSpan, conversationId, turn.assistantCalls()); for (const tc of turn.toolCalls()) { - emitToolCall(tracer, invokeSpan, conversationId, tc, nested, nestedLastInvoke, opts); + emitToolCall(tracer, invokeSpan, conversationId, tc, nested, nestedLastInvoke, nestedOpen, opts); } model = turn.primaryModel() ?? model; } - emitLeftoverSubagents(tracer, conversationId, nested, nestedLastInvoke, invokeSpan, opts); + emitLeftoverSubagents(tracer, conversationId, nested, nestedLastInvoke, invokeSpan, nestedOpen, opts); + for (const s of nestedOpen) s.end(); if (model) invokeSpan.setAttribute(ATTR.RESPONSE_MODEL, model); } diff --git a/tests/build-trace.test.ts b/tests/build-trace.test.ts index 3c14066..87cf2a0 100644 --- a/tests/build-trace.test.ts +++ b/tests/build-trace.test.ts @@ -195,6 +195,44 @@ test('buildTrace: agent-teams teammates correlate by type when meta lacks toolUs } }); +test('buildTrace: re-spawn leftover sets attrs on a still-open invoke_agent span (regression)', () => { + // Regression for "operation on ended Span": a re-spawn (leftover) attaches to + // the invoke_agent span created by the spawning Agent call. If that span were + // ended before the leftover pass, the re-spawn's RESPONSE_MODEL setAttribute + // would be silently dropped. Here the CLAIMED transcript has no model and the + // RE-SPAWN supplies it, so the model can only land if the span is still open. + const { tracer, exporter, provider } = setup(); + const { transcriptPath, dir } = makeSession([ + { type: 'user', message: { role: 'user', content: 'go' }, timestamp: '2026-01-01T00:00:00Z' }, + { + type: 'assistant', timestamp: '2026-01-01T00:00:01Z', + message: { role: 'assistant', model: 'm', usage: {}, content: [{ type: 'tool_use', id: 'toolu_T', name: 'Agent', input: { subagent_type: 'r', team_name: 'tm', prompt: 'p' } }] }, + }, + { type: 'user', timestamp: '2026-01-01T00:00:09Z', message: { role: 'user', content: [{ type: 'tool_result', tool_use_id: 'toolu_T', content: 'd' }] } }, + ]); + const sub = path.join(dir, 'session', 'subagents'); + fs.mkdirSync(sub, { recursive: true }); + // Claimed transcript: NO model. Re-spawn: HAS model 'respawn-model'. + fs.writeFileSync(path.join(sub, 'agent-a.jsonl'), JSON.stringify({ type: 'assistant', timestamp: '2026-01-01T00:00:02Z', message: { role: 'assistant', usage: {}, content: [{ type: 'text', text: 'x' }] } })); + fs.writeFileSync(path.join(sub, 'agent-a.meta.json'), JSON.stringify({ agentType: 'r' })); + fs.writeFileSync(path.join(sub, 'agent-b.jsonl'), JSON.stringify({ type: 'assistant', timestamp: '2026-01-01T00:00:05Z', message: { role: 'assistant', model: 'respawn-model', usage: {}, content: [{ type: 'text', text: 'y' }] } })); + fs.writeFileSync(path.join(sub, 'agent-b.meta.json'), JSON.stringify({ agentType: 'r' })); + // Make agent-b newer so it sorts after agent-a (claimed first). + const now = Date.now(); + fs.utimesSync(path.join(sub, 'agent-a.jsonl'), new Date(now - 10000), new Date(now - 10000)); + fs.utimesSync(path.join(sub, 'agent-b.jsonl'), new Date(now), new Date(now)); + try { + buildTrace(tracer, transcriptPath, OPTS); + provider.forceFlush(); + const invoke = exporter.getFinishedSpans().find(s => s.name === 'invoke_agent r')!; + assert.ok(invoke, 'invoke_agent span present'); + assert.equal(invoke.attributes[ATTR.RESPONSE_MODEL], 'respawn-model', + 'model set by the re-spawn leftover must land — proves span was still open'); + } finally { + fs.rmSync(dir, { recursive: true, force: true }); + } +}); + test('buildTrace: multi-turn top-level produces one invoke_agent root per turn', () => { const { tracer, exporter, provider } = setup(); const { transcriptPath, dir } = makeSession([ From d63835a2ca9a83711e64ff17c2d2779945759236 Mon Sep 17 00:00:00 2001 From: Tito Citrin Date: Mon, 15 Jun 2026 09:31:56 -0400 Subject: [PATCH 03/11] docs(trace): document daemon vs session-end modes; clarify opt-in Add a "Tracing Modes" README section: how each mode works, why you'd switch to session-end (removes the daemon's stale-socket/Unknown-session failure class), the trade-off (drops permission + compaction enrichments in v1), and the `config set trace_mode` opt-in command. Makes explicit that the default is `daemon` and upgrading changes nothing unless you opt in. Co-Authored-By: Claude Opus 4.8 (1M context) --- README.md | 52 ++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 52 insertions(+) diff --git a/README.md b/README.md index 66afa58..110dd95 100644 --- a/README.md +++ b/README.md @@ -124,6 +124,58 @@ This is especially useful with `weave-claude-code install --non-interactive`, wh --- +## Tracing Modes: Daemon (default) vs. Daemonless + +The plugin can build traces two ways. **The default is `daemon` and nothing +changes unless you opt in** — upgrading is a no-op, and settings files written +before this option existed are treated as `daemon`. + +| Mode | How it works | Background process? | +|------|--------------|---------------------| +| `daemon` *(default)* | A persistent background daemon holds OTel spans open and streams them as hook events arrive across every session on the machine. | Yes — one long-lived process + a Unix socket. | +| `session-end` | No daemon. When a session ends, a `SessionEnd` hook rebuilds that session's **entire** span tree from its transcript in one pass and uploads it, then exits. | No — nothing persistent. | + +### Why you might switch to `session-end` + +The daemon is a single global process holding a Unix socket and in-memory +session state. When it dies ungracefully (closing a terminal / `SIGHUP`, OOM, or +`kill`), the socket goes stale: events are silently dropped, you see +`Unknown session` errors, and tracing stops until it's restarted. `session-end` +removes that entire failure class — there's no shared process or socket to go +stale, each session is traced independently, and a per-instance setting like +`WANDB_BASE_URL` is picked up fresh every session (no daemon-restart dance). + +**Choose `session-end` if** you hit daemon flakiness (stale socket / +`Unknown session` / needing to restart), you run agent-teams or long sessions, +or you simply want a stateless setup with no background process. **Stay on +`daemon`** otherwise — it streams spans live during a session, which +`session-end` does not (it uploads once, at session end). + +### Trade-off + +`session-end` reconstructs everything **structural** from the transcript — +turns, chat/LLM calls, tool calls and results, nested subagents and agent-teams +teammates, token usage, and models. It does **not** currently capture two +hook-only enrichments: permission-request span events and context-compaction +stats. Everything you need to read a trace is present; these two extras are +planned for a follow-up. + +### How to switch + +```bash +# Opt in to daemonless tracing +weave-claude-code config set trace_mode session-end + +# Revert to the default daemon +weave-claude-code config set trace_mode daemon +``` + +Then reload plugins (`/reload-plugins` inside a session) or relaunch `claude`. +`WEAVE_TRACE_MODE=session-end` can also be set in the environment to switch the +hook routing for the current shell without changing the saved setting. + +--- + ## Sending Traces to a Dedicated or Private W&B Instance If you use W&B Dedicated Cloud or a self-hosted instance, set `WANDB_BASE_URL` to point the plugin at your deployment before launching Claude Code: From aa29859202efc00adb288ec12c99b521aeb55c0d Mon Sep 17 00:00:00 2001 From: Tito Citrin Date: Mon, 15 Jun 2026 10:04:28 -0400 Subject: [PATCH 04/11] fix(cli): surface trace_mode in `config show`; flag socket unused in session-end `config show` listed the daemon_socket unconditionally but never showed trace_mode, so a user who set session-end couldn't confirm it and the socket line read as "a daemon is configured/running" when it's just a path string. Show `trace_mode` (env override > settings > default daemon) with its source, and annotate daemon_socket as "(unused in session-end mode)" when daemonless. Co-Authored-By: Claude Opus 4.8 (1M context) --- src/cli.ts | 11 +++++++++- tests/config-show-trace-mode.test.ts | 30 ++++++++++++++++++++++++++++ 2 files changed, 40 insertions(+), 1 deletion(-) create mode 100644 tests/config-show-trace-mode.test.ts diff --git a/src/cli.ts b/src/cli.ts index 18f3d77..1b2d0e6 100644 --- a/src/cli.ts +++ b/src/cli.ts @@ -269,9 +269,18 @@ async function cmdConfig(args: string[]): Promise { : ApiKeySource.NotSet; const apiKeyDisplay = effectiveApiKey ? `${maskSecret(effectiveApiKey)} [${apiKeySource}]` : `(not set)`; + // trace_mode: env override > settings > default 'daemon'. + const traceModeEnv = process.env['WEAVE_TRACE_MODE']?.trim(); + const traceMode = traceModeEnv || settings.trace_mode || 'daemon'; + const traceModeSource = traceModeEnv + ? '[WEAVE_TRACE_MODE env var]' + : settings.trace_mode ? '[settings]' : '[default]'; + const socketNote = traceMode === 'session-end' ? ' (unused in session-end mode)' : ''; + console.log('Current configuration:'); + console.log(` trace_mode: ${traceMode} ${traceModeSource}`); console.log(` log_file: ${settings.log_file}`); - console.log(` daemon_socket: ${settings.daemon_socket}`); + console.log(` daemon_socket: ${settings.daemon_socket}${socketNote}`); console.log(` weave_project: ${effectiveProject ?? '(not set)'} [${projectSource}]`); console.log(` wandb_api_key: ${apiKeyDisplay}`); const agentName = resolveAgentName(settings); diff --git a/tests/config-show-trace-mode.test.ts b/tests/config-show-trace-mode.test.ts new file mode 100644 index 0000000..28d5863 --- /dev/null +++ b/tests/config-show-trace-mode.test.ts @@ -0,0 +1,30 @@ +// SPDX-FileCopyrightText: 2026 CoreWeave, Inc. +// SPDX-License-Identifier: MIT +// SPDX-PackageName: weave-claude-code + +// `config show` must surface trace_mode (the setting whose whole purpose is to +// be toggled). Legacy settings files lacking the field show the daemon default. + +import { test } from 'node:test'; +import assert from 'node:assert/strict'; +import { runCli, seedConfigHome } from './helpers.ts'; + +test('config show: legacy settings (no trace_mode) report the daemon default', async () => { + const { home } = seedConfigHome('trace-mode-default'); + const { stdout } = await runCli(home, ['config', 'show']); + assert.match(stdout, /trace_mode:\s+daemon \[default\]/); +}); + +test('config show: trace_mode=session-end is displayed and the socket is flagged unused', async () => { + const { home } = seedConfigHome('trace-mode-se'); + await runCli(home, ['config', 'set', 'trace_mode', 'session-end']); + const { stdout } = await runCli(home, ['config', 'show']); + assert.match(stdout, /trace_mode:\s+session-end \[settings\]/); + assert.match(stdout, /daemon_socket:.*\(unused in session-end mode\)/); +}); + +test('config show: WEAVE_TRACE_MODE env override is reflected and labeled', async () => { + const { home } = seedConfigHome('trace-mode-env'); + const { stdout } = await runCli(home, ['config', 'show'], { WEAVE_TRACE_MODE: 'session-end' }); + assert.match(stdout, /trace_mode:\s+session-end \[WEAVE_TRACE_MODE env var\]/); +}); From 8937662b2c051f3bf9c3ca65be8d6979c033d3bc Mon Sep 17 00:00:00 2001 From: Tito Citrin Date: Mon, 15 Jun 2026 10:14:19 -0400 Subject: [PATCH 05/11] feat(cli): show live daemon state in `config show` MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The socket path alone doesn't tell you whether a daemon is actually running. Probe it and annotate: "(daemon running)", "(stale socket — daemon not responding)", or "(no daemon running)" in daemon mode; "(unused in session-end mode)" when daemonless. Co-Authored-By: Claude Opus 4.8 (1M context) --- src/cli.ts | 12 +++++++++++- tests/config-show-trace-mode.test.ts | 4 +++- 2 files changed, 14 insertions(+), 2 deletions(-) diff --git a/src/cli.ts b/src/cli.ts index 1b2d0e6..5f35a3b 100644 --- a/src/cli.ts +++ b/src/cli.ts @@ -275,7 +275,17 @@ async function cmdConfig(args: string[]): Promise { const traceModeSource = traceModeEnv ? '[WEAVE_TRACE_MODE env var]' : settings.trace_mode ? '[settings]' : '[default]'; - const socketNote = traceMode === 'session-end' ? ' (unused in session-end mode)' : ''; + // Annotate the socket with live daemon state so it's clear whether a daemon + // is actually running (the path alone is just config). In session-end mode + // the socket is inert. + let socketNote = ' (unused in session-end mode)'; + if (traceMode !== 'session-end') { + const st = await probeUnixSocket(settings.daemon_socket); + socketNote = + st === SocketState.Alive ? ' (daemon running)' + : st === SocketState.Stale ? ' (stale socket — daemon not responding)' + : ' (no daemon running)'; + } console.log('Current configuration:'); console.log(` trace_mode: ${traceMode} ${traceModeSource}`); diff --git a/tests/config-show-trace-mode.test.ts b/tests/config-show-trace-mode.test.ts index 28d5863..fbdd5f1 100644 --- a/tests/config-show-trace-mode.test.ts +++ b/tests/config-show-trace-mode.test.ts @@ -9,10 +9,12 @@ import { test } from 'node:test'; import assert from 'node:assert/strict'; import { runCli, seedConfigHome } from './helpers.ts'; -test('config show: legacy settings (no trace_mode) report the daemon default', async () => { +test('config show: legacy settings (no trace_mode) report the daemon default + no daemon running', async () => { const { home } = seedConfigHome('trace-mode-default'); const { stdout } = await runCli(home, ['config', 'show']); assert.match(stdout, /trace_mode:\s+daemon \[default\]/); + // No daemon listening on the throwaway socket path → reported as not running. + assert.match(stdout, /daemon_socket:.*\(no daemon running\)/); }); test('config show: trace_mode=session-end is displayed and the socket is flagged unused', async () => { From 38c9e4e1b2835634995c614e690e9301c12a0288 Mon Sep 17 00:00:00 2001 From: Tito Citrin Date: Mon, 15 Jun 2026 11:50:05 -0400 Subject: [PATCH 06/11] fix(install): preserve existing config instead of wiping it on reinstall `createConfig` unconditionally wrote a fresh settings.json with null weave_project / wandb_api_key and trace_mode=daemon, so re-running (or a failed) `weave-claude-code install` on an already-configured machine destroyed the user's credentials and mode. Make it convergent: read the existing file and preserve every user-controllable field (project, api key, agent_name, debug, trace_mode, custom paths, installed_at); only the version is refreshed. Fresh or unreadable configs still get safe defaults. Found live while dogfooding the daemonless install. Co-Authored-By: Claude Opus 4.8 (1M context) --- src/setup.ts | 29 ++++++++---- tests/install-preserves-config.test.ts | 61 ++++++++++++++++++++++++++ 2 files changed, 82 insertions(+), 8 deletions(-) create mode 100644 tests/install-preserves-config.test.ts diff --git a/src/setup.ts b/src/setup.ts index 498a1a4..4553367 100644 --- a/src/setup.ts +++ b/src/setup.ts @@ -128,16 +128,29 @@ export function createConfig(configDir: string): ConfigResult { fs.mkdirSync(logDir, { recursive: true }); + // Re-running `install` must NOT wipe an existing config: read what's there + // and preserve every user-controllable field (weave_project, wandb_api_key, + // agent_name, debug, trace_mode, custom paths, installed_at). Only the version + // is refreshed. A fresh install (no file, or unreadable) gets the defaults. + let existing: Partial = {}; + if (fs.existsSync(settingsFile)) { + try { + existing = JSON.parse(fs.readFileSync(settingsFile, 'utf8')) as Partial; + } catch { + existing = {}; + } + } + const settings: Settings = { - log_file: logFile, - weave_project: null, - wandb_api_key: null, - agent_name: null, - debug: false, - installed_at: new Date().toISOString(), + log_file: existing.log_file ?? logFile, + weave_project: existing.weave_project ?? null, + wandb_api_key: existing.wandb_api_key ?? null, + agent_name: existing.agent_name ?? null, + debug: existing.debug ?? false, + installed_at: existing.installed_at ?? new Date().toISOString(), version: VERSION, - daemon_socket: path.join(configDir, 'daemon.sock'), - trace_mode: 'daemon', + daemon_socket: existing.daemon_socket ?? path.join(configDir, 'daemon.sock'), + trace_mode: existing.trace_mode ?? 'daemon', }; fs.writeFileSync(settingsFile, JSON.stringify(settings, null, 2)); diff --git a/tests/install-preserves-config.test.ts b/tests/install-preserves-config.test.ts new file mode 100644 index 0000000..1c21c0b --- /dev/null +++ b/tests/install-preserves-config.test.ts @@ -0,0 +1,61 @@ +// SPDX-FileCopyrightText: 2026 CoreWeave, Inc. +// SPDX-License-Identifier: MIT +// SPDX-PackageName: weave-claude-code + +// Re-running install (createConfig) must NOT wipe an already-configured machine. +// Regression for: a failed/repeat `weave-claude-code install` reset +// weave_project, wandb_api_key, and trace_mode to defaults, losing credentials. + +import { test } from 'node:test'; +import assert from 'node:assert/strict'; +import * as fs from 'node:fs'; +import * as os from 'node:os'; +import * as path from 'node:path'; +import { createConfig, VERSION, type Settings } from '../src/setup.ts'; + +test('createConfig: preserves existing project/key/trace_mode, refreshes version', () => { + const dir = fs.mkdtempSync(path.join(os.tmpdir(), 'wcp-preserve-')); + const settingsFile = path.join(dir, 'settings.json'); + const prior: Settings = { + log_file: path.join(dir, 'logs', 'daemon.log'), + weave_project: 'my-entity/my-project', + wandb_api_key: 'secret-key-123', + agent_name: 'my-bot', + debug: true, + installed_at: '2020-01-01T00:00:00Z', + version: '0.0.1', + daemon_socket: path.join(dir, 'daemon.sock'), + trace_mode: 'session-end', + }; + fs.writeFileSync(settingsFile, JSON.stringify(prior)); + + createConfig(dir); + + const after = JSON.parse(fs.readFileSync(settingsFile, 'utf8')) as Settings; + assert.equal(after.weave_project, 'my-entity/my-project', 'project preserved'); + assert.equal(after.wandb_api_key, 'secret-key-123', 'api key preserved'); + assert.equal(after.agent_name, 'my-bot', 'agent_name preserved'); + assert.equal(after.debug, true, 'debug preserved'); + assert.equal(after.trace_mode, 'session-end', 'trace_mode preserved'); + assert.equal(after.installed_at, '2020-01-01T00:00:00Z', 'installed_at not reset'); + assert.equal(after.version, VERSION, 'version refreshed to current'); +}); + +test('createConfig: fresh install (no prior file) writes safe defaults', () => { + const dir = fs.mkdtempSync(path.join(os.tmpdir(), 'wcp-fresh-')); + createConfig(dir); + const s = JSON.parse(fs.readFileSync(path.join(dir, 'settings.json'), 'utf8')) as Settings; + assert.equal(s.weave_project, null); + assert.equal(s.wandb_api_key, null); + assert.equal(s.trace_mode, 'daemon'); + assert.equal(s.version, VERSION); +}); + +test('createConfig: unreadable prior settings falls back to defaults (no throw)', () => { + const dir = fs.mkdtempSync(path.join(os.tmpdir(), 'wcp-corrupt-')); + fs.writeFileSync(path.join(dir, 'settings.json'), '{ this is not json'); + createConfig(dir); + const s = JSON.parse(fs.readFileSync(path.join(dir, 'settings.json'), 'utf8')) as Settings; + assert.equal(s.trace_mode, 'daemon'); + assert.equal(s.weave_project, null); +}); From 1be094b774741da9b45c81e8e8f6e42264773c72 Mon Sep 17 00:00:00 2001 From: Tito Citrin Date: Mon, 15 Jun 2026 12:01:35 -0400 Subject: [PATCH 07/11] fix(session-end): scope via transcript cwd; skip subagent/teammate transcripts MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Two bugs surfaced dogfooding the daemonless hook on a real agent-teams session: 1. Scope gate fail-closed and dropped EVERYTHING when trace_roots was set, because the SessionEnd payload omits cwd (interactive sessions). Derive cwd from the transcript (Claude Code stamps it on transcript lines) when the payload lacks it, so scope works regardless of payload shape. 2. Each teammate session fires its own SessionEnd, which would build a standalone duplicate trace on top of being nested in the coordinator's build. Skip transcripts under a /subagents/ dir — the parent coordinator captures them. Regression tests for both. Co-Authored-By: Claude Opus 4.8 (1M context) --- src/sessionEnd.ts | 43 ++++++++++++++++++++++++++++++++++++++- tests/session-end.test.ts | 43 +++++++++++++++++++++++++++++++++++++-- 2 files changed, 83 insertions(+), 3 deletions(-) diff --git a/src/sessionEnd.ts b/src/sessionEnd.ts index 88f91af..36ad3ad 100644 --- a/src/sessionEnd.ts +++ b/src/sessionEnd.ts @@ -2,6 +2,7 @@ // SPDX-License-Identifier: MIT // SPDX-PackageName: weave-claude-code +import * as fs from 'fs'; import { Tracer } from '@opentelemetry/api'; import { buildTrace } from './buildTrace.js'; import { createTracerProvider } from './tracerProvider.js'; @@ -33,6 +34,34 @@ export interface SessionEndResult { * Resolve `trace_roots` from env (comma-separated `WEAVE_TRACE_ROOTS`) or the * settings file. Env wins. Empty ⇒ global (trace everything). */ +/** + * Read the working directory the session ran in from the transcript itself. + * Claude Code stamps `cwd` on transcript lines; the SessionEnd hook payload does + * NOT reliably include it (interactive sessions omit it), so the scope gate + * can't depend on the payload alone — without this it fail-closes and drops + * every trace whenever `trace_roots` is set. Scans the first lines for a `cwd`. + */ +export function cwdFromTranscript(transcriptPath: string): string | undefined { + let text: string; + try { + text = fs.readFileSync(transcriptPath, 'utf8'); + } catch { + return undefined; + } + let scanned = 0; + for (const line of text.split('\n')) { + if (!line.trim()) continue; + if (++scanned > 200) break; // cwd appears early; cap the scan + try { + const o = JSON.parse(line) as Record; + if (typeof o['cwd'] === 'string' && o['cwd']) return o['cwd'] as string; + } catch { + // skip unparseable line + } + } + return undefined; +} + export function resolveTraceRoots(settings: Settings, env: NodeJS.ProcessEnv): string[] { const fromEnv = env['WEAVE_TRACE_ROOTS']; if (fromEnv && fromEnv.trim()) { @@ -73,6 +102,13 @@ export async function runSessionEnd( return { status: 'skipped', reason: 'missing session_id or transcript_path', turns: 0 }; } + // Subagent / agent-teams teammate sessions fire their own SessionEnd, but the + // parent coordinator's build already nests their work (correlated from + // /subagents/). Skip them here to avoid standalone duplicate traces. + if (/[/\\]subagents[/\\]/.test(transcriptPath)) { + return { status: 'skipped', reason: 'subagent/teammate transcript (captured by the parent session)', turns: 0 }; + } + const weaveProject = env['WEAVE_PROJECT'] ?? settings.weave_project ?? null; const apiKey = env['WANDB_API_KEY'] ?? settings.wandb_api_key ?? null; if (!weaveProject || !apiKey) { @@ -90,6 +126,11 @@ export async function runSessionEnd( const provider = makeProvider({ weaveProject, apiKey, baseUrl, agentName, debug }); const tracer = provider.getTracer('weave-claude-code', VERSION); + // cwd drives the scope gate. The SessionEnd payload often omits it, so fall + // back to the cwd recorded in the transcript — otherwise a set `trace_roots` + // silently drops everything. + const cwd = payload.cwd || cwdFromTranscript(transcriptPath) || ''; + let turns = 0; try { turns = buildTrace(tracer, transcriptPath, { @@ -97,7 +138,7 @@ export async function runSessionEnd( // Resume/forked-session conversation stitching is deferred; a fresh // session's conversation id equals its session id. conversationId: sessionId, - cwd: payload.cwd ?? '', + cwd, source: payload.source ?? 'session-end', agentName, pluginVersion: VERSION, diff --git a/tests/session-end.test.ts b/tests/session-end.test.ts index 1f7ae4b..eebd0b4 100644 --- a/tests/session-end.test.ts +++ b/tests/session-end.test.ts @@ -26,11 +26,11 @@ const SETTINGS: Settings = { version: '0.0.0', daemon_socket: '/tmp/x.sock', trace_mode: 'session-end', }; -function makeTranscript(): { transcriptPath: string; dir: string } { +function makeTranscript(cwd = '/work'): { transcriptPath: string; dir: string } { const dir = fs.mkdtempSync(path.join(os.homedir(), '.wcp-se-')); const transcriptPath = path.join(dir, 'session.jsonl'); fs.writeFileSync(transcriptPath, [ - { type: 'user', message: { role: 'user', content: 'hi' }, timestamp: '2026-01-01T00:00:00Z' }, + { type: 'user', cwd, message: { role: 'user', content: 'hi' }, timestamp: '2026-01-01T00:00:00Z' }, { type: 'assistant', timestamp: '2026-01-01T00:00:01Z', message: { role: 'assistant', model: 'm', usage: {}, content: [{ type: 'text', text: 'ok' }] } }, ].map(l => JSON.stringify(l)).join('\n')); return { transcriptPath, dir }; @@ -96,6 +96,45 @@ test('runSessionEnd: env WANDB_API_KEY/WEAVE_PROJECT override settings', async ( } }); +test('runSessionEnd: scope resolves from transcript cwd when payload omits it (regression)', async () => { + // The SessionEnd payload often lacks cwd; without the transcript fallback, a + // set trace_roots fail-closes and drops everything. Here the payload has NO + // cwd, trace_roots matches the transcript's recorded cwd → must still build. + const { transcriptPath, dir } = makeTranscript('/work/scoped-repo'); + const inj = injectedProvider(); + try { + const payload = JSON.stringify({ hook_event_name: 'SessionEnd', session_id: 's1', transcript_path: transcriptPath }); // no cwd + const inScope = await runSessionEnd(payload, { ...SETTINGS, ...({ trace_roots: ['/work/scoped-repo'] } as any) }, {}, inj.make); + assert.equal(inScope.status, 'ok'); + assert.equal(inScope.turns, 1); + // And a non-matching root still gates it out (scope still enforced). + const out = await runSessionEnd(payload, { ...SETTINGS, ...({ trace_roots: ['/work/other'] } as any) }, {}, inj.make); + assert.equal(out.turns, 0); + } finally { + fs.rmSync(dir, { recursive: true, force: true }); + } +}); + +test('runSessionEnd: skips subagent/teammate transcripts (parent captures them)', async () => { + // Agent-teams teammate sessions fire their own SessionEnd; building them would + // duplicate work the coordinator already nests. They live under .../subagents/. + const { transcriptPath, dir } = makeTranscript(); + const sub = path.join(dir, 'session', 'subagents'); + fs.mkdirSync(sub, { recursive: true }); + const teammatePath = path.join(sub, 'agent-abc.jsonl'); + fs.copyFileSync(transcriptPath, teammatePath); + const inj = injectedProvider(); + try { + const payload = JSON.stringify({ hook_event_name: 'SessionEnd', session_id: 's1', transcript_path: teammatePath, cwd: '/work' }); + const res = await runSessionEnd(payload, SETTINGS, {}, inj.make); + assert.equal(res.status, 'skipped'); + assert.match(res.reason ?? '', /subagent|teammate/); + assert.equal(inj.exporter.getFinishedSpans().length, 0); + } finally { + fs.rmSync(dir, { recursive: true, force: true }); + } +}); + test('resolveTraceRoots: env (comma-sep) wins over settings; empty default', () => { assert.deepEqual(resolveTraceRoots(SETTINGS, {}), []); assert.deepEqual(resolveTraceRoots({ ...SETTINGS, ...({ trace_roots: ['/a', '/b'] } as any) }, {}), ['/a', '/b']); From 4d64b23feaee4b39a91f9dff8a0ec06eefb0e086 Mon Sep 17 00:00:00 2001 From: Tito Citrin Date: Mon, 15 Jun 2026 12:25:21 -0400 Subject: [PATCH 08/11] fix(trace): aggregate usage + real duration on turn/agent spans; set agent.id MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit The Agents view reads token totals and session time off the turn-root / invoke_agent spans, not by summing chat children — the builder left those spans with no usage and ~0 duration, so the UI showed "0 tokens" and "4ms". Also left gen_ai.agent.id empty on sub-agents. - setUsageAttrs() stamps aggregate gen_ai.usage.* (OTel input total + output + cache + reasoning) on the turn root (turn.totalUsage) and each sub-agent invoke_agent span (summed across its turns). - Turn root gets real startTime/endTime from transcript timestamps. - Sub-agent invoke_agent gets gen_ai.agent.id, read from its agent-.jsonl transcript filename. Verified live: turn roots now ~1.5s (was ~0), tokens populate, agent_id set. This is strictly better than the daemon, which also showed tokens=0. Co-Authored-By: Claude Opus 4.8 (1M context) --- src/buildTrace.ts | 44 ++++++++++++++++++++++++++++------- src/genaiSpans.ts | 49 ++++++++++++++++++++++++++++++++------- tests/build-trace.test.ts | 28 ++++++++++++++++++++++ 3 files changed, 104 insertions(+), 17 deletions(-) diff --git a/src/buildTrace.ts b/src/buildTrace.ts index 1b166ec..be21517 100644 --- a/src/buildTrace.ts +++ b/src/buildTrace.ts @@ -5,8 +5,8 @@ import * as fs from 'fs'; import * as path from 'path'; import { Span, SpanStatusCode, Tracer } from '@opentelemetry/api'; -import { parseSessionFile } from './parser.js'; -import type { ToolCallDetail } from './parser.js'; +import { addUsage, parseSessionFile } from './parser.js'; +import type { ToolCallDetail, UsageSummary } from './parser.js'; import { isCwdInScope } from './utils.js'; import { ATTR, @@ -14,12 +14,20 @@ import { emitChatSpansFromAssistantCalls, jsonStr, promptSnippet, + setUsageAttrs, startInvokeAgentSpan, startToolSpan, startTurnSpan, toolDisplayName, } from './genaiSpans.js'; +/** Parse an ISO timestamp to a Date, or undefined if absent/invalid. */ +function toDate(ts: string | undefined): Date | undefined { + if (!ts) return undefined; + const d = new Date(ts); + return Number.isFinite(d.getTime()) ? d : undefined; +} + /** * Daemonless span builder. Walks a completed Claude Code transcript (and its * subagent transcripts on disk) in a single pass and emits the GenAI-convention @@ -142,6 +150,13 @@ export function buildTrace(tracer: Tracer, transcriptPath: string, opts: BuildTr turnNumber += 1; const prompt = turn.prompt(); const requestModel = turn.primaryModel(); + const calls = turn.assistantCalls(); + // Real turn timing from the transcript so the span has its actual duration + // (the Agents view reads session time off the turn root). Only use them when + // both ends are known, so we never pair a transcript start with a now() end. + const startedAt = toDate(calls[0]?.prevTimestamp) ?? toDate(calls[0]?.timestamp); + const endedAt = toDate(calls[calls.length - 1]?.timestamp); + const useTimes = startedAt !== undefined && endedAt !== undefined; const turnSpan = startTurnSpan(tracer, { sessionId: opts.sessionId, @@ -154,10 +169,11 @@ export function buildTrace(tracer: Tracer, transcriptPath: string, opts: BuildTr agentName, requestModel, displayName: `Turn ${turnNumber}: ${promptSnippet(prompt)}`, + startedAt: useTimes ? startedAt : undefined, }); lastTurnSpan = turnSpan; - emitChatSpansFromAssistantCalls(tracer, turnSpan, conversationId, turn.assistantCalls()); + emitChatSpansFromAssistantCalls(tracer, turnSpan, conversationId, calls); let toolCount = 0; for (const tc of turn.toolCalls()) { @@ -165,18 +181,19 @@ export function buildTrace(tracer: Tracer, transcriptPath: string, opts: BuildTr emitToolCall(tracer, turnSpan, conversationId, tc, pool, lastInvokeByType, openInvokes, opts); } - const finishReasons = turn - .assistantCalls() - .map(c => c.finishReason) - .filter((r): r is string => !!r); + const finishReasons = calls.map(c => c.finishReason).filter((r): r is string => !!r); if (finishReasons.length) turnSpan.setAttribute(ATTR.RESPONSE_FINISH_REASONS, finishReasons); if (requestModel) turnSpan.setAttribute(ATTR.RESPONSE_MODEL, requestModel); turnSpan.setAttribute(ATTR.WEAVE_TURN_TOOL_COUNT, toolCount); + // Aggregate token usage on the turn root — the Agents view reads totals here, + // not by summing chat children, so without this the turn shows 0 tokens. + const reasoning = calls.reduce((n, c) => n + (c.reasoningTokens ?? 0), 0); + setUsageAttrs(turnSpan, turn.totalUsage(), reasoning); const outText = turn.textBlocks().join('\n'); if (outText) { turnSpan.setAttribute(ATTR.OUTPUT_MESSAGES, jsonStr([{ role: 'assistant', content: outText }])); } - turnSpan.end(); + turnSpan.end(useTimes ? endedAt : undefined); } // Leftover pass: subagent transcripts not claimed by a spawning Agent call — @@ -258,6 +275,11 @@ function emitToolCall( // Label the span with the matched teammate's identity when we found one, so // re-spawns key off the same type and nest together. const agentType = entry?.agentType ?? memberName ?? subType; + // gen_ai.agent.id — the subagent's id, read from its transcript filename + // (agent-.jsonl). Empty otherwise (the daemon stamped it at runtime). + const agentId = entry + ? path.basename(entry.transcriptPath).replace(/^agent-/, '').replace(/\.jsonl$/, '') + : undefined; const promptText = tc.toolInput['prompt']; const invokeSpan = startInvokeAgentSpan(tracer, parentSpan, { agentType, @@ -265,6 +287,7 @@ function emitToolCall( pluginVersion: opts.pluginVersion, inputMessages: promptText ? [{ role: 'user', content: promptText }] : undefined, spawningToolCallId: tc.toolUseId, + agentId, displayName: toolDisplayName('Agent', tc.toolInput), }); lastInvokeByType.set(agentType, invokeSpan); @@ -317,14 +340,19 @@ function emitAgentSubtree( const nestedOpen: Span[] = []; let model: string | undefined; + let usage: UsageSummary = { input_tokens: 0, output_tokens: 0 }; for (const turn of parsed.turns) { emitChatSpansFromAssistantCalls(tracer, invokeSpan, conversationId, turn.assistantCalls()); for (const tc of turn.toolCalls()) { emitToolCall(tracer, invokeSpan, conversationId, tc, nested, nestedLastInvoke, nestedOpen, opts); } model = turn.primaryModel() ?? model; + usage = addUsage(usage, turn.totalUsage()); } emitLeftoverSubagents(tracer, conversationId, nested, nestedLastInvoke, invokeSpan, nestedOpen, opts); for (const s of nestedOpen) s.end(); if (model) invokeSpan.setAttribute(ATTR.RESPONSE_MODEL, model); + // Aggregate the subagent's token usage onto its invoke_agent span (so the + // sub-agent rolls up tokens too, not just the coordinator turn). + setUsageAttrs(invokeSpan, usage); } diff --git a/src/genaiSpans.ts b/src/genaiSpans.ts index cee4f34..4075967 100644 --- a/src/genaiSpans.ts +++ b/src/genaiSpans.ts @@ -168,6 +168,10 @@ export interface TurnSpanArgs { agentName: string; requestModel?: string; displayName?: string; + /** Real turn start time from the transcript; defaults to span-creation time + * (the daemon path doesn't pass it). Lets the daemonless builder give the + * turn span its actual duration instead of ~0. */ + startedAt?: TimeInput; } /** @@ -193,10 +197,33 @@ export function startTurnSpan(tracer: Tracer, args: TurnSpanArgs): Span { if (args.displayName) attrs[ATTR.WEAVE_DISPLAY_NAME] = args.displayName; // No parent context — turn spans are roots, one trace per turn. - return tracer.startSpan( - `${OP.INVOKE_AGENT} ${args.agentName}`, - { kind: SpanKind.INTERNAL, attributes: attrs }, - ); + const opts: Parameters[1] = { kind: SpanKind.INTERNAL, attributes: attrs }; + if (args.startedAt !== undefined) opts.startTime = args.startedAt; + return tracer.startSpan(`${OP.INVOKE_AGENT} ${args.agentName}`, opts); +} + +/** + * Stamp aggregate token usage onto a span (turn root or sub-agent invoke_agent). + * The Agents view reads token totals + cache stats off these higher-level spans, + * not by summing chat children — without this they render as 0. `input_tokens` + * is the OTel total (uncached + cache_read + cache_creation), matching emitChatSpan. + */ +export function setUsageAttrs(span: Span, usage: UsageSummary, reasoningTokens?: number): void { + const totalInput = + usage.input_tokens + + (usage.cache_read_input_tokens ?? 0) + + (usage.cache_creation_input_tokens ?? 0); + span.setAttribute(ATTR.USAGE_INPUT_TOKENS, totalInput); + span.setAttribute(ATTR.USAGE_OUTPUT_TOKENS, usage.output_tokens); + if (usage.cache_read_input_tokens !== undefined) { + span.setAttribute(ATTR.USAGE_CACHE_READ_INPUT_TOKENS, usage.cache_read_input_tokens); + } + if (usage.cache_creation_input_tokens !== undefined) { + span.setAttribute(ATTR.USAGE_CACHE_CREATION_INPUT_TOKENS, usage.cache_creation_input_tokens); + } + if (reasoningTokens && reasoningTokens > 0) { + span.setAttribute(ATTR.USAGE_REASONING_TOKENS, reasoningTokens); + } } export interface InvokeAgentSpanArgs { @@ -218,7 +245,12 @@ export interface InvokeAgentSpanArgs { * back-pointer attribute so queries can correlate the subagent * invocation with the spawning tool call. */ spawningToolCallId?: string; + /** Subagent's own id (`gen_ai.agent.id`) — the daemonless builder reads it + * from the `agent-.jsonl` transcript filename. */ + agentId?: string; displayName?: string; + /** Real subagent start time from its transcript; defaults to creation time. */ + startedAt?: TimeInput; } /** @@ -246,13 +278,12 @@ export function startInvokeAgentSpan( if (args.spawningToolCallId) { attrs[ATTR.WEAVE_SUBAGENT_SPAWNING_TOOL_CALL_ID] = args.spawningToolCallId; } + if (args.agentId) attrs[ATTR.AGENT_ID] = args.agentId; if (args.displayName) attrs[ATTR.WEAVE_DISPLAY_NAME] = args.displayName; - return tracer.startSpan( - `${OP.INVOKE_AGENT} ${args.agentType}`, - { kind: SpanKind.INTERNAL, attributes: attrs }, - ctxWithParent(parentSpan), - ); + const opts: Parameters[1] = { kind: SpanKind.INTERNAL, attributes: attrs }; + if (args.startedAt !== undefined) opts.startTime = args.startedAt; + return tracer.startSpan(`${OP.INVOKE_AGENT} ${args.agentType}`, opts, ctxWithParent(parentSpan)); } export interface ToolSpanArgs { diff --git a/tests/build-trace.test.ts b/tests/build-trace.test.ts index 87cf2a0..ae0774a 100644 --- a/tests/build-trace.test.ts +++ b/tests/build-trace.test.ts @@ -253,6 +253,34 @@ test('buildTrace: multi-turn top-level produces one invoke_agent root per turn', } }); +test('buildTrace: turn root carries aggregate usage and real duration', () => { + const { tracer, exporter, provider } = setup(); + const { transcriptPath, dir } = makeSession([ + { type: 'user', message: { role: 'user', content: 'hi' }, timestamp: '2026-01-01T00:00:00Z' }, + { + type: 'assistant', timestamp: '2026-01-01T00:00:05Z', + message: { + role: 'assistant', model: 'claude-opus-4-8', stop_reason: 'end_turn', + usage: { input_tokens: 100, output_tokens: 20, cache_read_input_tokens: 30, cache_creation_input_tokens: 10 }, + content: [{ type: 'text', text: 'done' }], + }, + }, + ]); + try { + buildTrace(tracer, transcriptPath, OPTS); + provider.forceFlush(); + const turn = exporter.getFinishedSpans().find(s => s.name === 'invoke_agent tars')!; + // input_tokens = 100 + 30 + 10 = 140 (OTel total); output = 20. + assert.equal(turn.attributes[ATTR.USAGE_INPUT_TOKENS], 140, 'aggregate input tokens on turn root'); + assert.equal(turn.attributes[ATTR.USAGE_OUTPUT_TOKENS], 20, 'aggregate output tokens on turn root'); + // Real duration from transcript (prevTimestamp 00:00 → 00:05 = 5s), not ~0. + const durMs = (turn.endTime[0] * 1e3 + turn.endTime[1] / 1e6) - (turn.startTime[0] * 1e3 + turn.startTime[1] / 1e6); + assert.ok(durMs >= 4000, `turn span should span ~5s, got ${durMs}ms`); + } finally { + fs.rmSync(dir, { recursive: true, force: true }); + } +}); + test('buildTrace: out-of-scope cwd emits nothing (traceRoots gate)', () => { const { tracer, exporter, provider } = setup(); const { transcriptPath, dir } = makeSession([ From 3ce01047d480ec154780482f15305b65203797e8 Mon Sep 17 00:00:00 2001 From: Tito Citrin Date: Mon, 15 Jun 2026 13:59:26 -0400 Subject: [PATCH 09/11] =?UTF-8?q?fix(trace):=20correct=20tool=E2=86=92agen?= =?UTF-8?q?t=20attribution=20for=20agent-teams=20in=20session-end=20mode?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Two defects surfaced via a real /nest-test trace (coordinator + one teammate driven across two turns): 1. Re-spawn double-counting. The harness leaves multiple transcripts for a single teammate (a partial snapshot + the complete one) sharing the same agentType and no toolUseId; the leftover-merge pass appended both, counting the overlapping turns' tool calls twice (e.g. 8 Bash instead of 5). listSubagents now drops any teammate transcript whose tool_use-id set is a subset of another same-type entry's, keeping the most complete. 2. Unattributed child spans. execute_tool and chat spans carried no gen_ai.agent.name / gen_ai.agent.id, so the Weave Agents view (which groups by agent identity, not span tree) rendered every tool under the top-level agent. Thread an owning {agentName, agentId} through emitToolCall / emitAgentSubtree / emitChatSpansFromAssistantCalls and stamp it on each child span: coordinator children -> coordinator, teammate children -> teammate + id. New tests/nest-test-tree.test.ts asserts the full tree against a real two-transcript re-spawn fixture: one merged invoke_agent, 5 Bash + 2 SendMessage (not double-counted), distinct non-empty agent_id, and every child span carrying its owning agent. 78/78 green, tsc clean. The daemon shares genaiSpans but does not pass owner, so it still emits unattributed child spans — tracked separately for upstream. Co-Authored-By: Claude Opus 4.8 (1M context) --- src/buildTrace.ts | 84 +++++++-- src/genaiSpans.ts | 15 ++ tests/fixtures/nest-test/session.jsonl | 47 +++++ .../subagents/agent-ab50fb9f3a91ed6f2.jsonl | 14 ++ .../agent-ab50fb9f3a91ed6f2.meta.json | 1 + .../subagents/agent-aed00d987474206cf.jsonl | 39 +++++ .../agent-aed00d987474206cf.meta.json | 1 + tests/nest-test-tree.test.ts | 163 ++++++++++++++++++ 8 files changed, 354 insertions(+), 10 deletions(-) create mode 100644 tests/fixtures/nest-test/session.jsonl create mode 100644 tests/fixtures/nest-test/subagents/agent-ab50fb9f3a91ed6f2.jsonl create mode 100644 tests/fixtures/nest-test/subagents/agent-ab50fb9f3a91ed6f2.meta.json create mode 100644 tests/fixtures/nest-test/subagents/agent-aed00d987474206cf.jsonl create mode 100644 tests/fixtures/nest-test/subagents/agent-aed00d987474206cf.meta.json create mode 100644 tests/nest-test-tree.test.ts diff --git a/src/buildTrace.ts b/src/buildTrace.ts index be21517..0936007 100644 --- a/src/buildTrace.ts +++ b/src/buildTrace.ts @@ -107,9 +107,66 @@ function listSubagents(transcriptPath: string): SubagentEntry[] { } } out.sort((a, b) => a.mtime - b.mtime); + + // Collapse agent-teams re-spawns. The harness can leave more than one + // transcript for a single teammate (a partial snapshot + the complete one), + // sharing the same `agentType` and no `toolUseId`. They reuse the same + // tool_use ids, so a partial's id-set is a subset of the complete one's. + // Without this, the leftover pass merges both under one invoke_agent span and + // double-counts the overlapping turns' tool calls (wrong tool→agent + // attribution). Drop any teammate entry whose tool_use ids are a subset of + // another same-type entry's — keep only the most complete transcript. + const teammates = out.filter(e => !e.toolUseId); + if (teammates.length > 1) { + const ids = new Map>(teammates.map(e => [e, toolUseIdSet(e.transcriptPath)])); + const drop = new Set(); + for (const a of teammates) { + const sa = ids.get(a)!; + // A tool-less snapshot has no ids to be a subset by — leave it (it emits + // no tool spans, so it can't cause a double-count; at worst an empty span). + if (sa.size === 0) continue; + for (const b of teammates) { + if (a === b || drop.has(b) || a.agentType !== b.agentType) continue; + const sb = ids.get(b)!; + const aSubsetOfB = [...sa].every(x => sb.has(x)); + if (aSubsetOfB && (sb.size > sa.size || (sb.size === sa.size && out.indexOf(b) < out.indexOf(a)))) { + drop.add(a); + break; + } + } + } + if (drop.size) return out.filter(e => !drop.has(e)); + } return out; } +/** gen_ai.agent.id for a teammate, read from its `agent-.jsonl` filename. */ +function agentIdFromPath(transcriptPath: string): string { + return path.basename(transcriptPath).replace(/^agent-/, '').replace(/\.jsonl$/, ''); +} + +/** Collect every tool_use id in a transcript (for re-spawn dedup). */ +function toolUseIdSet(transcriptPath: string): Set { + const ids = new Set(); + let text: string; + try { text = fs.readFileSync(transcriptPath, 'utf8'); } catch { return ids; } + for (const line of text.split('\n')) { + if (!line.trim()) continue; + try { + const content = (JSON.parse(line) as { message?: { content?: unknown } }).message?.content; + if (Array.isArray(content)) { + for (const b of content) { + if (b && typeof b === 'object' && (b as { type?: string }).type === 'tool_use') { + const tid = (b as { id?: unknown }).id; + if (typeof tid === 'string') ids.add(tid); + } + } + } + } catch { /* skip malformed line */ } + } + return ids; +} + /** Claim the entry whose meta toolUseId matches (exact), if any. */ function claimByToolUseId(pool: SubagentEntry[], id: string): SubagentEntry | undefined { const e = pool.find(x => !x.consumed && x.toolUseId === id); @@ -173,12 +230,15 @@ export function buildTrace(tracer: Tracer, transcriptPath: string, opts: BuildTr }); lastTurnSpan = turnSpan; - emitChatSpansFromAssistantCalls(tracer, turnSpan, conversationId, calls); + // Owning agent for the coordinator's own chat/tool spans — the Agents view + // groups by agent identity, so each child span must carry it. + const coordOwner = { agentName }; + emitChatSpansFromAssistantCalls(tracer, turnSpan, conversationId, calls, coordOwner); let toolCount = 0; for (const tc of turn.toolCalls()) { toolCount += 1; - emitToolCall(tracer, turnSpan, conversationId, tc, pool, lastInvokeByType, openInvokes, opts); + emitToolCall(tracer, turnSpan, conversationId, tc, pool, lastInvokeByType, openInvokes, opts, coordOwner); } const finishReasons = calls.map(c => c.finishReason).filter((r): r is string => !!r); @@ -225,10 +285,11 @@ function emitLeftoverSubagents( for (const e of pool) { if (e.consumed) continue; e.consumed = true; + const owner = { agentName: e.agentType, agentId: agentIdFromPath(e.transcriptPath) }; const existing = lastInvokeByType.get(e.agentType); if (existing) { // existing is still open (ended only after this pass) — safe to append. - emitAgentSubtree(tracer, existing, conversationId, e.transcriptPath, opts); + emitAgentSubtree(tracer, existing, conversationId, e.transcriptPath, opts, owner); continue; } if (!fallbackParent) continue; @@ -236,8 +297,9 @@ function emitLeftoverSubagents( agentType: e.agentType, conversationId, pluginVersion: opts.pluginVersion, + agentId: owner.agentId, }); - emitAgentSubtree(tracer, invokeSpan, conversationId, e.transcriptPath, opts); + emitAgentSubtree(tracer, invokeSpan, conversationId, e.transcriptPath, opts, owner); lastInvokeByType.set(e.agentType, invokeSpan); openInvokes.push(invokeSpan); // ended by the caller after the full pass } @@ -258,6 +320,7 @@ function emitToolCall( lastInvokeByType: Map, openInvokes: Span[], opts: BuildTraceOptions, + owner: { agentName?: string; agentId?: string }, ): void { if (tc.toolName === 'Agent') { // Correlate to a transcript. Order: exact toolUseId match (plain Agent @@ -277,9 +340,7 @@ function emitToolCall( const agentType = entry?.agentType ?? memberName ?? subType; // gen_ai.agent.id — the subagent's id, read from its transcript filename // (agent-.jsonl). Empty otherwise (the daemon stamped it at runtime). - const agentId = entry - ? path.basename(entry.transcriptPath).replace(/^agent-/, '').replace(/\.jsonl$/, '') - : undefined; + const agentId = entry ? agentIdFromPath(entry.transcriptPath) : undefined; const promptText = tc.toolInput['prompt']; const invokeSpan = startInvokeAgentSpan(tracer, parentSpan, { agentType, @@ -292,7 +353,7 @@ function emitToolCall( }); lastInvokeByType.set(agentType, invokeSpan); if (entry) { - emitAgentSubtree(tracer, invokeSpan, conversationId, entry.transcriptPath, opts); + emitAgentSubtree(tracer, invokeSpan, conversationId, entry.transcriptPath, opts, { agentName: agentType, agentId }); } // Ended by the caller after the leftover pass — re-spawns may still attach. openInvokes.push(invokeSpan); @@ -304,6 +365,8 @@ function emitToolCall( toolUseId: tc.toolUseId, toolInput: tc.toolInput, displayName: toolDisplayName(tc.toolName, tc.toolInput), + agentName: owner.agentName, + agentId: owner.agentId, }); if (tc.toolResult !== undefined) { toolSpan.setAttribute(ATTR.TOOL_CALL_RESULT, jsonStr(tc.toolResult)); @@ -329,6 +392,7 @@ function emitAgentSubtree( conversationId: string, agentTranscriptPath: string, opts: BuildTraceOptions, + owner: { agentName?: string; agentId?: string }, ): void { const parsed = parseSessionFile(agentTranscriptPath); if (!parsed) return; @@ -342,9 +406,9 @@ function emitAgentSubtree( let model: string | undefined; let usage: UsageSummary = { input_tokens: 0, output_tokens: 0 }; for (const turn of parsed.turns) { - emitChatSpansFromAssistantCalls(tracer, invokeSpan, conversationId, turn.assistantCalls()); + emitChatSpansFromAssistantCalls(tracer, invokeSpan, conversationId, turn.assistantCalls(), owner); for (const tc of turn.toolCalls()) { - emitToolCall(tracer, invokeSpan, conversationId, tc, nested, nestedLastInvoke, nestedOpen, opts); + emitToolCall(tracer, invokeSpan, conversationId, tc, nested, nestedLastInvoke, nestedOpen, opts, owner); } model = turn.primaryModel() ?? model; usage = addUsage(usage, turn.totalUsage()); diff --git a/src/genaiSpans.ts b/src/genaiSpans.ts index 4075967..0d843c1 100644 --- a/src/genaiSpans.ts +++ b/src/genaiSpans.ts @@ -291,6 +291,10 @@ export interface ToolSpanArgs { toolUseId: string; toolInput: Record; displayName?: string; + /** Owning agent — stamped on the span so the Agents view attributes the tool + * to the agent that ran it (it groups by agent identity, not span tree). */ + agentName?: string; + agentId?: string; } export function startToolSpan(tracer: Tracer, parentSpan: Span, args: ToolSpanArgs): Span { @@ -300,6 +304,8 @@ export function startToolSpan(tracer: Tracer, parentSpan: Span, args: ToolSpanAr [ATTR.TOOL_CALL_ID]: args.toolUseId, [ATTR.TOOL_CALL_ARGUMENTS]: jsonStr(args.toolInput), }; + if (args.agentName) attrs[ATTR.AGENT_NAME] = args.agentName; + if (args.agentId) attrs[ATTR.AGENT_ID] = args.agentId; if (args.displayName) attrs[ATTR.WEAVE_DISPLAY_NAME] = args.displayName; return tracer.startSpan( @@ -324,6 +330,10 @@ export interface ChatSpanArgs { finishReasons?: string[]; inputMessages?: unknown; outputMessages?: unknown; + /** Owning agent — stamped so the Agents view attributes the chat to the + * agent that made it (it groups by agent identity, not span tree). */ + agentName?: string; + agentId?: string; } /** @@ -352,6 +362,8 @@ export function emitChatSpan( [ATTR.USAGE_OUTPUT_TOKENS]: args.usage.output_tokens, [ATTR.OUTPUT_TYPE]: 'text', }; + if (args.agentName) attrs[ATTR.AGENT_NAME] = args.agentName; + if (args.agentId) attrs[ATTR.AGENT_ID] = args.agentId; const provider = providerFromModel(args.model); if (provider) attrs[ATTR.PROVIDER_NAME] = provider; if (args.usage.cache_read_input_tokens !== undefined) { @@ -394,6 +406,7 @@ export function emitChatSpansFromAssistantCalls( parentSpan: Span, conversationId: string, calls: AssistantCallDetail[], + owner?: { agentName?: string; agentId?: string }, ): void { for (const c of calls) { if (!c.model) continue; @@ -411,6 +424,8 @@ export function emitChatSpansFromAssistantCalls( outputMessages: c.contentBlocks.length ? [{ role: 'assistant', content: assistantBlocksToText(c.contentBlocks), parts: c.contentBlocks }] : undefined, + agentName: owner?.agentName, + agentId: owner?.agentId, }); } } diff --git a/tests/fixtures/nest-test/session.jsonl b/tests/fixtures/nest-test/session.jsonl new file mode 100644 index 0000000..bba156b --- /dev/null +++ b/tests/fixtures/nest-test/session.jsonl @@ -0,0 +1,47 @@ +{"type":"last-prompt","leafUuid":"0b42c069-3ed2-4d36-a0b6-5f1c1b9b2948","sessionId":"adb6bee6-f913-4ce5-8bf8-2b0b5edbeeb8"} +{"type":"mode","mode":"normal","sessionId":"adb6bee6-f913-4ce5-8bf8-2b0b5edbeeb8"} +{"type":"permission-mode","permissionMode":"bypassPermissions","sessionId":"adb6bee6-f913-4ce5-8bf8-2b0b5edbeeb8"} +{"parentUuid":null,"isSidechain":false,"attachment":{"type":"hook_success","hookName":"SessionStart:startup","toolUseID":"9df57320-6d67-4d3e-923d-ef35c6616d44","hookEvent":"SessionStart","content":"=== NEW SESSION ===\nBranch : weave-plugin-0.2.8\nDir : /Users/tcitrin/Projects/tars-support/.worktrees/weave-e2e-test\n\nBefore starting:\n 1. Is this the right branch for the task?\n 2. Any locked constraints? (branch, env names, data formats — say them now)\n 3. Relevant skills? brainstorming / tdd / executing-plans / debugging / writing-plans\n\nRun /session-preflight before dispatching agents or running tests.\nRun /handoff before /clear or when session hits 75+ messages.","stdout":"=== NEW SESSION ===\nBranch : weave-plugin-0.2.8\nDir : /Users/tcitrin/Projects/tars-support/.worktrees/weave-e2e-test\n\nBefore starting:\n 1. Is this the right branch for the task?\n 2. Any locked constraints? (branch, env names, data formats — say them now)\n 3. Relevant skills? brainstorming / tdd / executing-plans / debugging / writing-plans\n\nRun /session-preflight before dispatching agents or running tests.\nRun /handoff before /clear or when session hits 75+ messages.\n","stderr":"","exitCode":0,"command":"bash /Users/tcitrin/.claude/hooks/session-start-template.sh","durationMs":225},"type":"attachment","uuid":"95f4343f-95a7-41f9-8097-5faf855ff7e0","timestamp":"2026-06-15T17:12:06.153Z","userType":"external","entrypoint":"cli","cwd":"/Users/tcitrin/Projects/tars-support/.worktrees/weave-e2e-test","sessionId":"adb6bee6-f913-4ce5-8bf8-2b0b5edbeeb8","version":"2.1.177","gitBranch":"weave-plugin-0.2.8"} +{"parentUuid":"95f4343f-95a7-41f9-8097-5faf855ff7e0","isSidechain":false,"attachment":{"type":"hook_success","hookName":"SessionStart:startup","toolUseID":"9df57320-6d67-4d3e-923d-ef35c6616d44","hookEvent":"SessionStart","content":"","stdout":"{\n \"hookSpecificOutput\": {\n \"hookEventName\": \"SessionStart\",\n \"additionalContext\": \"\\nYou have superpowers.\\n\\n**Below is the full content of your 'superpowers:using-superpowers' skill - your introduction to using skills. For all other skills, use the 'Skill' tool:**\\n\\n---\\nname: using-superpowers\\ndescription: Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions\\n---\\n\\n\\nIf you were dispatched as a subagent to execute a specific task, skip this skill.\\n\\n\\n\\nIf you think there is even a 1% chance a skill might apply to what you are doing, you ABSOLUTELY MUST invoke the skill.\\n\\nIF A SKILL APPLIES TO YOUR TASK, YOU DO NOT HAVE A CHOICE. YOU MUST USE IT.\\n\\nThis is not negotiable. This is not optional. You cannot rationalize your way out of this.\\n\\n\\n## Instruction Priority\\n\\nSuperpowers skills override default system prompt behavior, but **user instructions always take precedence**:\\n\\n1. **User's explicit instructions** (CLAUDE.md, GEMINI.md, AGENTS.md, direct requests) — highest priority\\n2. **Superpowers skills** — override default system behavior where they conflict\\n3. **Default system prompt** — lowest priority\\n\\nIf CLAUDE.md, GEMINI.md, or AGENTS.md says \\\"don't use TDD\\\" and a skill says \\\"always use TDD,\\\" follow the user's instructions. The user is in control.\\n\\n## How to Access Skills\\n\\n**In Claude Code:** Use the `Skill` tool. When you invoke a skill, its content is loaded and presented to you—follow it directly. Never use the Read tool on skill files.\\n\\n**In Copilot CLI:** Use the `skill` tool. Skills are auto-discovered from installed plugins. The `skill` tool works the same as Claude Code's `Skill` tool.\\n\\n**In Gemini CLI:** Skills activate via the `activate_skill` tool. Gemini loads skill metadata at session start and activates the full content on demand.\\n\\n**In other environments:** Check your platform's documentation for how skills are loaded.\\n\\n## Platform Adaptation\\n\\nSkills use Claude Code tool names. Non-CC platforms: see `references/copilot-tools.md` (Copilot CLI), `references/codex-tools.md` (Codex) for tool equivalents. Gemini CLI users get the tool mapping loaded automatically via GEMINI.md.\\n\\n# Using Skills\\n\\n## The Rule\\n\\n**Invoke relevant or requested skills BEFORE any response or action.** Even a 1% chance a skill might apply means that you should invoke the skill to check. If an invoked skill turns out to be wrong for the situation, you don't need to use it.\\n\\n```dot\\ndigraph skill_flow {\\n \\\"User message received\\\" [shape=doublecircle];\\n \\\"About to EnterPlanMode?\\\" [shape=doublecircle];\\n \\\"Already brainstormed?\\\" [shape=diamond];\\n \\\"Invoke brainstorming skill\\\" [shape=box];\\n \\\"Might any skill apply?\\\" [shape=diamond];\\n \\\"Invoke Skill tool\\\" [shape=box];\\n \\\"Announce: 'Using [skill] to [purpose]'\\\" [shape=box];\\n \\\"Has checklist?\\\" [shape=diamond];\\n \\\"Create TodoWrite todo per item\\\" [shape=box];\\n \\\"Follow skill exactly\\\" [shape=box];\\n \\\"Respond (including clarifications)\\\" [shape=doublecircle];\\n\\n \\\"About to EnterPlanMode?\\\" -> \\\"Already brainstormed?\\\";\\n \\\"Already brainstormed?\\\" -> \\\"Invoke brainstorming skill\\\" [label=\\\"no\\\"];\\n \\\"Already brainstormed?\\\" -> \\\"Might any skill apply?\\\" [label=\\\"yes\\\"];\\n \\\"Invoke brainstorming skill\\\" -> \\\"Might any skill apply?\\\";\\n\\n \\\"User message received\\\" -> \\\"Might any skill apply?\\\";\\n \\\"Might any skill apply?\\\" -> \\\"Invoke Skill tool\\\" [label=\\\"yes, even 1%\\\"];\\n \\\"Might any skill apply?\\\" -> \\\"Respond (including clarifications)\\\" [label=\\\"definitely not\\\"];\\n \\\"Invoke Skill tool\\\" -> \\\"Announce: 'Using [skill] to [purpose]'\\\";\\n \\\"Announce: 'Using [skill] to [purpose]'\\\" -> \\\"Has checklist?\\\";\\n \\\"Has checklist?\\\" -> \\\"Create TodoWrite todo per item\\\" [label=\\\"yes\\\"];\\n \\\"Has checklist?\\\" -> \\\"Follow skill exactly\\\" [label=\\\"no\\\"];\\n \\\"Create TodoWrite todo per item\\\" -> \\\"Follow skill exactly\\\";\\n}\\n```\\n\\n## Red Flags\\n\\nThese thoughts mean STOP—you're rationalizing:\\n\\n| Thought | Reality |\\n|---------|---------|\\n| \\\"This is just a simple question\\\" | Questions are tasks. Check for skills. |\\n| \\\"I need more context first\\\" | Skill check comes BEFORE clarifying questions. |\\n| \\\"Let me explore the codebase first\\\" | Skills tell you HOW to explore. Check first. |\\n| \\\"I can check git/files quickly\\\" | Files lack conversation context. Check for skills. |\\n| \\\"Let me gather information first\\\" | Skills tell you HOW to gather information. |\\n| \\\"This doesn't need a formal skill\\\" | If a skill exists, use it. |\\n| \\\"I remember this skill\\\" | Skills evolve. Read current version. |\\n| \\\"This doesn't count as a task\\\" | Action = task. Check for skills. |\\n| \\\"The skill is overkill\\\" | Simple things become complex. Use it. |\\n| \\\"I'll just do this one thing first\\\" | Check BEFORE doing anything. |\\n| \\\"This feels productive\\\" | Undisciplined action wastes time. Skills prevent this. |\\n| \\\"I know what that means\\\" | Knowing the concept ≠ using the skill. Invoke it. |\\n\\n## Skill Priority\\n\\nWhen multiple skills could apply, use this order:\\n\\n1. **Process skills first** (brainstorming, debugging) - these determine HOW to approach the task\\n2. **Implementation skills second** (frontend-design, mcp-builder) - these guide execution\\n\\n\\\"Let's build X\\\" → brainstorming first, then implementation skills.\\n\\\"Fix this bug\\\" → debugging first, then domain-specific skills.\\n\\n## Skill Types\\n\\n**Rigid** (TDD, debugging): Follow exactly. Don't adapt away discipline.\\n\\n**Flexible** (patterns): Adapt principles to context.\\n\\nThe skill itself tells you which.\\n\\n## User Instructions\\n\\nInstructions say WHAT, not HOW. \\\"Add X\\\" or \\\"Fix Y\\\" doesn't mean skip workflows.\\n\\n\\n\"\n }\n}\n","stderr":"","exitCode":0,"command":"\"${CLAUDE_PLUGIN_ROOT}/hooks/run-hook.cmd\" session-start","durationMs":359},"type":"attachment","uuid":"69ea6075-7498-4321-b664-16e3697ecb7e","timestamp":"2026-06-15T17:12:06.289Z","userType":"external","entrypoint":"cli","cwd":"/Users/tcitrin/Projects/tars-support/.worktrees/weave-e2e-test","sessionId":"adb6bee6-f913-4ce5-8bf8-2b0b5edbeeb8","version":"2.1.177","gitBranch":"weave-plugin-0.2.8"} +{"parentUuid":"69ea6075-7498-4321-b664-16e3697ecb7e","isSidechain":false,"attachment":{"type":"hook_success","hookName":"SessionStart:startup","toolUseID":"9df57320-6d67-4d3e-923d-ef35c6616d44","hookEvent":"SessionStart","content":"","stdout":"{\"systemMessage\": \"[memsearch v0.4.8] embedding: onnx/gpahal/bge-m3-onnx-int8 | milvus: ~/.memsearch/milvus.db | collection: ms_weave_e2e_test_dcb8808b\", \"hookSpecificOutput\": {\"hookEventName\": \"SessionStart\", \"additionalContext\": \"# Recent Memory\\\\n\\\\n## 2026-06-15.md\\\\n## Session 08:49\\n### 08:49\\n- User confirmed intent to proceed with code review.\\n- Claude Code invoked superpowers:requesting-code-review skill; the code-reviewer subagent ran `npm run build` and `npm test` (59/59 pass), read the full staged diff across 11 files (1100+ insertions), and approved for merge with zero Critical/Important findings.\\n- Claude Code applied two Minor fixes: added empty tool-name guard at line 248 in `src/parser.ts` (prevents malformed `execute_tool` spans), and added debug breadcrumb in `src/cli.ts` (logs skip reason to ERROR_LOG when `runSessionEnd` exits early).\\n- Claude Code verified fixes: `tsc` strict clean, `npm test` 59/59 pass, oracle regression check (172/189 coordMatch, 0 under-counts).\\n- Claude Code reported pre-PR gate complete (code review approved, tests green, diff read). Noted that daemonless builder is code-complete and reviewed; live W&B e2e validation still required before PR opens. Asked user to choose next step: stop/commit/or draft PR body.\\n## Session 09:05\\n### 09:05\\n- User requested commit, PR generation, and end-to-end testing in sequence\\n- Claude Code staged minor fixes to src/cli.ts and src/parser.ts, committed the feature (5870a92 feat: daemonless session-end) and fix commit (5910dcd fix: defer ending invoke_agent spans), pushed to origin/feat/daemonless-session-end\\n- Claude Code invoked make-good-pr skill, created draft PR #97 (wandb/weave-claude-code) with structured body documenting 5 design approaches, tradeoffs, and constraints; excluded throwaway scripts\\n- Claude Code ran live end-to-end test: executed session-end against a real agent-teams /triage transcript (7 turns, 752 spans), uploaded through OTLP to coreweave1/tars-support project\\n- Live e2e discovered a real bug unit tests missed: the re-spawn leftover pass set RESPONSE_MODEL on already-ended spans (OTel warnings); Claude Code fixed it by deferring invoke_agent span ends until after leftover pass, added regression test\\n- Claude Code verified uploaded trace in agents store API (ingest key has read scope): confirmed all 6 specialists nested as turn-children with correct tool subtrees (physical-infra 63 children, cks 44, networking 42, training 33, storage 32, sunk 14), re-spawns merged correctly\\n- Claude Code reported completion: diff read approved, 60/60 tests green, oracle 189/189 subagent totals (0 under-counts unchanged), agents store nesting verified; noted PR is draft and fresh-session /nest-test e2e now redundant but worth belt-and-suspenders validation\\n## Session 09:21\\n### 09:21\\n- User asked for a real (non-synthetic) run that proves the daemonless session-end span builder works on an actual Claude Code session — not hand-fed test payloads, but a genuine transcript fired through the SessionEnd hook.\\n- Claude Code inspected the current plugin wiring, verified the built CLI runs standalone, then set up a temporary test harness: temp directory with project-local `.claude/settings.json` that routes SessionEnd to the fork's CLI, tagged `WEAVE_AGENT_NAME=daemonless-real-e2e`.\\n- Claude Code drove a real `claude -p` session in that temp dir (executed `echo seal-the-deal` and read `note.txt`), confirmed the SessionEnd hook fired with `turns=1`, and queried the W&B Agents store API to verify the trace uploaded with correct nesting (`invoke_agent daemonless-real-e2e` → `chat` + `execute_tool Bash` + `execute_tool Read`).\\n- Claude Code discovered a scope-gate symlink sensitivity: macOS resolves `/tmp` to `/private/tmp` but `WEAVE_TRACE_ROOTS` env var comparison uses `path.resolve` not `realpath`, causing silent scope-gate mismatch on first run (`turns=0`); corrected and re-ran successfully.\\n- Claude Code cleaned up temp harness and reported state: PR #97 draft has APPROVE review, 60/60 tests green, oracle-diff clean, and real hook-driven session now verified end-to-end in the agents store.\\n## Session 09:23\\n### 09:23\\n- User challenged their own mental model about the weave plugin, stating it feels like \\\"an npm package but only works globally\\\" which they find antithetical, and that recent work made it \\\"more individual rather than machine-only,\\\" which seems limiting.\\n- Claude Code challenged the model by identifying that the user was conflating three independent architectural axes (install scope, execution model, and tracing scope) into one dimension.\\n- Claude Code corrected three misconceptions: (1) that \\\"global npm package\\\" is antithetical (it's normal for tools like tsc/eslint/gh); (2) that daemonless work made it \\\"more individual\\\" (it only changed execution model #2, not install scope #1 or tracing scope #3, so coverage remains machine-wide); (3) that daemonless is limiting (it's less limiting because it enables distribution and per-repo scoping).\\n- Claude Code clarified that the lever for true \\\"individuality\\\" is axis #3 (per-repo `trace_roots` allowlist), which already exists; daemonless removed shared state (#2) to make per-repo config safe to build, not to limit scope.\\n- Claude Code conceded that if the long-term vision is per-project/team observability config, then the plugin architecture itself (axis #1) might be philosophically wrong, suggesting the endgame could be project-committed config or collector-side transform instead of a user-scoped plugin.\\n## Session 09:27\\n### 09:27\\n- User asked Claude Code to summarize an entire PR in 2 sentences\\n- Claude Code provided a 2-sentence summary of a Weave plugin PR that adds an opt-out `trace_mode: \\\"session-end\\\"` configuration, replacing a persistent background daemon with a stateless function that reconstructs and uploads Weave span trees at session end, keeping the default behavior unchanged for existing users\\n## Session 09:28\\n### 09:28\\n- User questioned whether the default behavior is changing — specifically asking if \\\"opt-out\\\" (default changes) versus \\\"opt-in\\\" (default stays same)\\n- Claude Code acknowledged using imprecise terminology and corrected itself: the default is NOT changing (daemon mode remains default), and session-end requires active opt-in via `config set trace_mode session-end`\\n- Claude Code identified that the incorrect \\\"opt-out\\\" wording appears in PR #97 title and body, which would mislead reviewers\\n- Claude Code asked whether to fix the PR wording as part of the same documentation update effort\\\\n\\\\n## 2026-06-14.md\\\\n## Session 09:55\\n### 09:55\\n- User requested a summary (TL;DR) of the current status.\\n- Claude Code reported weave-plugin 0.2.8 fix status: code-complete with clean tree and 51/51 passing tests.\\n- Claude Code identified remaining work: e2e verification in W&B Agents view via nest-test, and opening a PR.\\n- Claude Code noted upstream maintainers are hardening the daemon (PRs #87/92/93/94), making option 4 alignment favorable over option 3.\\n- Claude Code recommended finishing option 4 and offered to run verification.\\n## Session 09:57\\n### 09:57\\n- User asked for steps to make a new PR for weave-plugin 0.2.9, then install and test it\\n- Claude Code clarified the versioning: version bump to 0.2.9 is done by maintainer GitHub Actions after PR merge, not in the PR itself; the branch stays at 0.2.8\\n- Claude Code outlined a 4-step ship process: pre-PR gate (code review + tests) → E2E verify (build/install locally, run nest-test 2-turn probe, verify W&B Agents view shows 5 Bash + 2 SendMessage spans under invoke_agent spans) → open PR with make-good-pr format → post-merge version bump and npm publish by maintainers\\n- Claude Code identified the critical gap: step 2 (E2E verify) requires locally building the fork, installing it, running the nest-test probe, and querying the agents-store API to confirm all-turn spans land correctly\\n- Claude Code asked if the user wants to start with step 2 (E2E verification) before touching the PR\\n## Session 10:03\\n### 10:03\\n- User asked two questions: the size of current changes and what has been validated vs. what remains unvalidated\\n- Claude Code reported the changes are small — one commit across three files (daemon.ts, genaiSpans.ts, tool-spans-from-transcript.test.ts) totaling ~55 lines of production code plus tests\\n- Claude Code confirmed 51/51 unit tests pass, including a multi-turn regression test (3 Bash turn 1 + 1 SendMessage turn 2), proving the helper emits all-turn tool spans in synthetic transcript conditions\\n- Claude Code identified the critical gap: E2E validation in the real W&B Agents view has not been done — unit tests use fabricated transcripts, not live production traces from nest-test\\n- Claude Code listed remaining work: code review (superpowers:requesting-code-review), reading the full diff, pushing to remote, and querying the live agents-store API to confirm the fix works in production\\n- Claude Code characterized the state as \\\"unit-test-green but production-unverified\\\" and offered to run the E2E nest-test immediately\\n## Session 10:24\\n### 10:24\\n- User confirmed intent to run test, then prepare PR if it passes.\\n- Claude Code checked running daemon version and discovered critical discrepancy: installed 0.2.8 build (20:12 on June 12) was created *before* the fix commit (21:34), meaning all prior nest-tests ran against pre-fix code.\\n- Claude Code diffed fork source against installed 0.2.8 and confirmed: installed build emits tool spans for last turn only (the bug), while fork loops all turns (the fix); fork also includes upstream custom-agent-name feature (#89) not in installed build.\\n- Claude Code identified validation blocker: traces upload at session end, so mid-session test run cannot be verified until next session; cannot complete e2e validation in current session.\\n- Claude Code outlined three validation paths: (1) install fork, user runs new `/nest-test` session, follow-up queries agents store; (2) inline replay integration test with temp daemon socket; (3) accept unit tests as sufficient and PR now.\\n- Claude Code recommended path 1 as most rigorous, noting it requires user to drive the session boundary, and asked user to choose approach.\\n## Session 10:27\\n### 10:27\\n- User requested a clean branch for the fix, a \\\"clean install\\\" checklist to remove/kill other plugin sources, and a TARS document explaining why the plugin approach is still being pursued despite complicated efforts and potential native OTel+Claude alternatives being simpler.\\n- Claude Code fetched upstream and found the fork already contained `origin/main` plus the single fix commit; upstream is current with the new customizable agent-name feature (#89).\\n- Claude Code created a clean branch `fix/all-turns-subagent-tool-spans` off `origin/main`, cherry-picked the fix commit, and verified all 51 tests pass.\\n- Claude Code wrote `docs/weave-tracing-strategy.md` containing: rationale for staying on the plugin (Weave's Agents view requires GenAI-convention spans; native Claude emits `claude_code.*` spans that land in Traces, not Agents; `genaiSpans.ts` translation is irreplaceable; upstream actively hardening the daemon), trade-offs and long-term considerations, the 4 implementation options with verdicts, and a clean-install checklist (kill daemon, prune stale versions, reconcile duplicate repos, build/install fork, verify via agents-store API).\\n- Claude Code noted the running daemon does not yet contain the fix, so prior nest-test runs validated only pre-fix code, and that e2e validation requires a session boundary controlled by the user (install fork, user runs `/nest-test` in fresh session and exits, then query agents store API).\\n## Session 15:09\\n### 15:09\\n- User reconfirmed the need for an isolated standalone tunnel to completely replace the old daemon and plugin, enabling definitive verification that the fix (v2.9) is being tested, not old code\\\\n\\\\n\"}}\n","stderr":"","exitCode":0,"command":"bash ${CLAUDE_PLUGIN_ROOT}/hooks/session-start.sh","durationMs":2058},"type":"attachment","uuid":"d7ea4e34-6300-44ce-aef0-accaf56ca15d","timestamp":"2026-06-15T17:12:07.986Z","userType":"external","entrypoint":"cli","cwd":"/Users/tcitrin/Projects/tars-support/.worktrees/weave-e2e-test","sessionId":"adb6bee6-f913-4ce5-8bf8-2b0b5edbeeb8","version":"2.1.177","gitBranch":"weave-plugin-0.2.8"} +{"parentUuid":"d7ea4e34-6300-44ce-aef0-accaf56ca15d","isSidechain":false,"attachment":{"type":"hook_system_message","content":"[memsearch v0.4.8] embedding: onnx/gpahal/bge-m3-onnx-int8 | milvus: ~/.memsearch/milvus.db | collection: ms_weave_e2e_test_dcb8808b","hookName":"SessionStart:startup","toolUseID":"9df57320-6d67-4d3e-923d-ef35c6616d44","hookEvent":"SessionStart"},"type":"attachment","uuid":"4dcf34de-e666-4d90-97c6-935cd5dcd7ce","timestamp":"2026-06-15T17:12:07.987Z","userType":"external","entrypoint":"cli","cwd":"/Users/tcitrin/Projects/tars-support/.worktrees/weave-e2e-test","sessionId":"adb6bee6-f913-4ce5-8bf8-2b0b5edbeeb8","version":"2.1.177","gitBranch":"weave-plugin-0.2.8"} +{"parentUuid":"4dcf34de-e666-4d90-97c6-935cd5dcd7ce","isSidechain":false,"attachment":{"type":"hook_additional_context","content":["\nYou have superpowers.\n\n**Below is the full content of your 'superpowers:using-superpowers' skill - your introduction to using skills. For all other skills, use the 'Skill' tool:**\n\n---\nname: using-superpowers\ndescription: Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions\n---\n\n\nIf you were dispatched as a subagent to execute a specific task, skip this skill.\n\n\n\nIf you think there is even a 1% chance a skill might apply to what you are doing, you ABSOLUTELY MUST invoke the skill.\n\nIF A SKILL APPLIES TO YOUR TASK, YOU DO NOT HAVE A CHOICE. YOU MUST USE IT.\n\nThis is not negotiable. This is not optional. You cannot rationalize your way out of this.\n\n\n## Instruction Priority\n\nSuperpowers skills override default system prompt behavior, but **user instructions always take precedence**:\n\n1. **User's explicit instructions** (CLAUDE.md, GEMINI.md, AGENTS.md, direct requests) — highest priority\n2. **Superpowers skills** — override default system behavior where they conflict\n3. **Default system prompt** — lowest priority\n\nIf CLAUDE.md, GEMINI.md, or AGENTS.md says \"don't use TDD\" and a skill says \"always use TDD,\" follow the user's instructions. The user is in control.\n\n## How to Access Skills\n\n**In Claude Code:** Use the `Skill` tool. When you invoke a skill, its content is loaded and presented to you—follow it directly. Never use the Read tool on skill files.\n\n**In Copilot CLI:** Use the `skill` tool. Skills are auto-discovered from installed plugins. The `skill` tool works the same as Claude Code's `Skill` tool.\n\n**In Gemini CLI:** Skills activate via the `activate_skill` tool. Gemini loads skill metadata at session start and activates the full content on demand.\n\n**In other environments:** Check your platform's documentation for how skills are loaded.\n\n## Platform Adaptation\n\nSkills use Claude Code tool names. Non-CC platforms: see `references/copilot-tools.md` (Copilot CLI), `references/codex-tools.md` (Codex) for tool equivalents. Gemini CLI users get the tool mapping loaded automatically via GEMINI.md.\n\n# Using Skills\n\n## The Rule\n\n**Invoke relevant or requested skills BEFORE any response or action.** Even a 1% chance a skill might apply means that you should invoke the skill to check. If an invoked skill turns out to be wrong for the situation, you don't need to use it.\n\n```dot\ndigraph skill_flow {\n \"User message received\" [shape=doublecircle];\n \"About to EnterPlanMode?\" [shape=doublecircle];\n \"Already brainstormed?\" [shape=diamond];\n \"Invoke brainstorming skill\" [shape=box];\n \"Might any skill apply?\" [shape=diamond];\n \"Invoke Skill tool\" [shape=box];\n \"Announce: 'Using [skill] to [purpose]'\" [shape=box];\n \"Has checklist?\" [shape=diamond];\n \"Create TodoWrite todo per item\" [shape=box];\n \"Follow skill exactly\" [shape=box];\n \"Respond (including clarifications)\" [shape=doublecircle];\n\n \"About to EnterPlanMode?\" -> \"Already brainstormed?\";\n \"Already brainstormed?\" -> \"Invoke brainstorming skill\" [label=\"no\"];\n \"Already brainstormed?\" -> \"Might any skill apply?\" [label=\"yes\"];\n \"Invoke brainstorming skill\" -> \"Might any skill apply?\";\n\n \"User message received\" -> \"Might any skill apply?\";\n \"Might any skill apply?\" -> \"Invoke Skill tool\" [label=\"yes, even 1%\"];\n \"Might any skill apply?\" -> \"Respond (including clarifications)\" [label=\"definitely not\"];\n \"Invoke Skill tool\" -> \"Announce: 'Using [skill] to [purpose]'\";\n \"Announce: 'Using [skill] to [purpose]'\" -> \"Has checklist?\";\n \"Has checklist?\" -> \"Create TodoWrite todo per item\" [label=\"yes\"];\n \"Has checklist?\" -> \"Follow skill exactly\" [label=\"no\"];\n \"Create TodoWrite todo per item\" -> \"Follow skill exactly\";\n}\n```\n\n## Red Flags\n\nThese thoughts mean STOP—you're rationalizing:\n\n| Thought | Reality |\n|---------|---------|\n| \"This is just a simple question\" | Questions are tasks. Check for skills. |\n| \"I need more context first\" | Skill check comes BEFORE clarifying questions. |\n| \"Let me explore the codebase first\" | Skills tell you HOW to explore. Check first. |\n| \"I can check git/files quickly\" | Files lack conversation context. Check for skills. |\n| \"Let me gather information first\" | Skills tell you HOW to gather information. |\n| \"This doesn't need a formal skill\" | If a skill exists, use it. |\n| \"I remember this skill\" | Skills evolve. Read current version. |\n| \"This doesn't count as a task\" | Action = task. Check for skills. |\n| \"The skill is overkill\" | Simple things become complex. Use it. |\n| \"I'll just do this one thing first\" | Check BEFORE doing anything. |\n| \"This feels productive\" | Undisciplined action wastes time. Skills prevent this. |\n| \"I know what that means\" | Knowing the concept ≠ using the skill. Invoke it. |\n\n## Skill Priority\n\nWhen multiple skills could apply, use this order:\n\n1. **Process skills first** (brainstorming, debugging) - these determine HOW to approach the task\n2. **Implementation skills second** (frontend-design, mcp-builder) - these guide execution\n\n\"Let's build X\" → brainstorming first, then implementation skills.\n\"Fix this bug\" → debugging first, then domain-specific skills.\n\n## Skill Types\n\n**Rigid** (TDD, debugging): Follow exactly. Don't adapt away discipline.\n\n**Flexible** (patterns): Adapt principles to context.\n\nThe skill itself tells you which.\n\n## User Instructions\n\nInstructions say WHAT, not HOW. \"Add X\" or \"Fix Y\" doesn't mean skip workflows.\n\n\n","\nOutput too large (11.4KB). Full output saved to: /Users/tcitrin/.claude/projects/-Users-tcitrin-Projects-tars-support--worktrees-weave-e2e-test/adb6bee6-f913-4ce5-8bf8-2b0b5edbeeb8/tool-results/hook-9df57320-6d67-4d3e-923d-ef35c6616d44-3-additionalContext.txt\n\nPreview (first 2KB):\n# Recent Memory\\n\\n## 2026-06-15.md\\n## Session 08:49\n### 08:49\n- User confirmed intent to proceed with code review.\n- Claude Code invoked superpowers:requesting-code-review skill; the code-reviewer subagent ran `npm run build` and `npm test` (59/59 pass), read the full staged diff across 11 files (1100+ insertions), and approved for merge with zero Critical/Important findings.\n- Claude Code applied two Minor fixes: added empty tool-name guard at line 248 in `src/parser.ts` (prevents malformed `execute_tool` spans), and added debug breadcrumb in `src/cli.ts` (logs skip reason to ERROR_LOG when `runSessionEnd` exits early).\n- Claude Code verified fixes: `tsc` strict clean, `npm test` 59/59 pass, oracle regression check (172/189 coordMatch, 0 under-counts).\n- Claude Code reported pre-PR gate complete (code review approved, tests green, diff read). Noted that daemonless builder is code-complete and reviewed; live W&B e2e validation still required before PR opens. Asked user to choose next step: stop/commit/or draft PR body.\n## Session 09:05\n### 09:05\n- User requested commit, PR generation, and end-to-end testing in sequence\n- Claude Code staged minor fixes to src/cli.ts and src/parser.ts, committed the feature (5870a92 feat: daemonless session-end) and fix commit (5910dcd fix: defer ending invoke_agent spans), pushed to origin/feat/daemonless-session-end\n- Claude Code invoked make-good-pr skill, created draft PR #97 (wandb/weave-claude-code) with structured body documenting 5 design approaches, tradeoffs, and constraints; excluded throwaway scripts\n- Claude Code ran live end-to-end test: executed session-end against a real agent-teams /triage transcript (7 turns, 752 spans), uploaded through OTLP to coreweave1/tars-support project\n...\n"],"hookName":"SessionStart","toolUseID":"SessionStart","hookEvent":"SessionStart"},"type":"attachment","uuid":"0b42c069-3ed2-4d36-a0b6-5f1c1b9b2948","timestamp":"2026-06-15T17:12:07.988Z","userType":"external","entrypoint":"cli","cwd":"/Users/tcitrin/Projects/tars-support/.worktrees/weave-e2e-test","sessionId":"adb6bee6-f913-4ce5-8bf8-2b0b5edbeeb8","version":"2.1.177","gitBranch":"weave-plugin-0.2.8"} +{"type":"file-history-snapshot","messageId":"79c51d37-4963-4426-8617-893caf14542a","snapshot":{"messageId":"79c51d37-4963-4426-8617-893caf14542a","trackedFileBackups":{},"timestamp":"2026-06-15T17:12:11.718Z"},"isSnapshotUpdate":false} +{"parentUuid":"0b42c069-3ed2-4d36-a0b6-5f1c1b9b2948","isSidechain":false,"promptId":"3c6eef47-f3dd-4119-aaa1-1b6f0a5c7f50","type":"user","message":{"role":"user","content":"nest-test\n/nest-test"},"uuid":"79c51d37-4963-4426-8617-893caf14542a","timestamp":"2026-06-15T17:12:11.620Z","userType":"external","entrypoint":"cli","cwd":"/Users/tcitrin/Projects/tars-support/.worktrees/weave-e2e-test","sessionId":"adb6bee6-f913-4ce5-8bf8-2b0b5edbeeb8","version":"2.1.177","gitBranch":"weave-plugin-0.2.8"} +{"parentUuid":"79c51d37-4963-4426-8617-893caf14542a","isSidechain":false,"promptId":"3c6eef47-f3dd-4119-aaa1-1b6f0a5c7f50","type":"user","message":{"role":"user","content":[{"type":"text","text":"Base directory for this skill: /Users/tcitrin/Projects/tars-support/.worktrees/weave-e2e-test/.claude/skills/nest-test\n\n# nest-test — agent-teams nesting probe\n\nTests two things in one run:\n\n1. **Nesting** (0.2.8 fix): teammate's `invoke_agent` span has children at all\n2. **All-turns tool attribution** (tool-spans fix): ALL Bash calls from BOTH turns\n appear as `execute_tool` children — not just the final turn's calls\n\nThe specialist is sent **two separate messages** (turn 1 then turn 2), creating\nthe exact multi-turn pattern the tool-spans fix addresses. If only turn-2 tools\nappear in W&B, the fix is not running.\n\nKeep it deterministic and tiny so the only variable is the daemon.\n\n## Procedure (run exactly this — do not embellish)\n\n1. **Create the team**:\n `TeamCreate(team_name: \"nest-test\", description: \"agent-teams nesting probe\")`\n\n2. **Spawn the teammate** via the Agent tool (turn 1 prompt):\n - `subagent_type: \"general-purpose\"`\n - `name: \"nest-probe\"`\n - `team_name: \"nest-test\"`\n - `model: \"sonnet\"`\n - `mode: \"bypassPermissions\"`\n - `prompt`:\n ```\n You are a nesting-probe teammate in team \"nest-test\". Do EXACTLY this and nothing else:\n 1. Run Bash: echo \"nest-probe turn 1 step 1\"\n 2. Run Bash: echo \"nest-probe turn 1 step 2\"\n 3. Run Bash: echo \"nest-probe turn 1 step 3\"\n Then SendMessage to \"team-lead\" with exactly: \"turn-1-done\"\n Then STOP and wait. Do not run further tool calls until you receive another message.\n ```\n\n3. **Wait** for \"turn-1-done\" to arrive as a turn.\n\n4. **Send a follow-up to the same teammate** via SendMessage (NOT another Agent call):\n - `SendMessage(team_name: \"nest-test\", to: \"nest-probe\", content: \"Good. Now do EXACTLY this and nothing else: 1. Run Bash: echo 'nest-probe turn 2 step 1' 2. Run Bash: echo 'nest-probe turn 2 step 2' Then SendMessage to 'team-lead' with exactly: turn-2-done. Then stop completely.\")`\n\n5. **Wait** for \"turn-2-done\" to arrive as a turn.\n\n6. **Report to the user**, verbatim shape:\n ```\n nest-test complete. nest-probe ran 2 turns: 3 Bash (turn 1) + 2 Bash (turn 2) + 2 SendMessage.\n Check W&B project coreweave1/tars-support -> Traces -> this session:\n invoke_agent: nest-probe\n - has 5 execute_tool Bash children (turns 1+2 combined) -> ALL-TURNS FIX WORKING\n - has 3 execute_tool Bash children (turn 2 only) -> ALL-TURNS FIX BROKEN\n - has 0 children -> NESTING BROKEN\n ```\n\nThat's the whole skill. No reports, no Slack, no MCPs — just the agent-teams +\ndaemon path. 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Specify search breadth: \"medium\" for moderate exploration, \"very thorough\" for multiple locations and naming conventions. (Tools: All tools except Agent, ExitPlanMode, Edit, Write, NotebookEdit)","- general-purpose: General-purpose agent for researching complex questions, searching for code, and executing multi-step tasks. When you are searching for a keyword or file and are not confident that you will find the right match in the first few tries use this agent to perform the search for you. (Tools: *)","- gsd-advisor-researcher: Researches a single gray area decision and returns a structured comparison table with rationale. Spawned by discuss-phase advisor mode. (Tools: Read, Bash, Grep, Glob, WebSearch, WebFetch, mcp__context7__*)","- gsd-assumptions-analyzer: Deeply analyzes codebase for a phase and returns structured assumptions with evidence. Spawned by discuss-phase assumptions mode. (Tools: Read, Bash, Grep, Glob)","- gsd-codebase-mapper: Explores codebase and writes structured analysis documents. Spawned by map-codebase with a focus area (tech, arch, quality, concerns). Writes documents directly to reduce orchestrator context load. (Tools: Read, Bash, Grep, Glob, Write)","- gsd-debugger: Investigates bugs using scientific method, manages debug sessions, handles checkpoints. Spawned by /gsd:debug orchestrator. (Tools: Read, Write, Edit, Bash, Grep, Glob, WebSearch)","- gsd-executor: Executes GSD plans with atomic commits, deviation handling, checkpoint protocols, and state management. Spawned by execute-phase orchestrator or execute-plan command. (Tools: Read, Write, Edit, Bash, Grep, Glob)","- gsd-integration-checker: Verifies cross-phase integration and E2E flows. Checks that phases connect properly and user workflows complete end-to-end. (Tools: Read, Bash, Grep, Glob)","- gsd-nyquist-auditor: Fills Nyquist validation gaps by generating tests and verifying coverage for phase requirements (Tools: Read, Write, Edit, Bash, Glob, Grep)","- gsd-phase-researcher: Researches how to implement a phase before planning. Produces RESEARCH.md consumed by gsd-planner. Spawned by /gsd:plan-phase orchestrator. (Tools: Read, Write, Bash, Grep, Glob, WebSearch, WebFetch, mcp__context7__*, mcp__firecrawl__*, mcp__exa__*)","- gsd-plan-checker: Verifies plans will achieve phase goal before execution. Goal-backward analysis of plan quality. Spawned by /gsd:plan-phase orchestrator. (Tools: Read, Bash, Glob, Grep)","- gsd-planner: Creates executable phase plans with task breakdown, dependency analysis, and goal-backward verification. Spawned by /gsd:plan-phase orchestrator. (Tools: Read, Write, Bash, Glob, Grep, WebFetch, mcp__context7__*)","- gsd-project-researcher: Researches domain ecosystem before roadmap creation. Produces files in .planning/research/ consumed during roadmap creation. Spawned by /gsd:new-project or /gsd:new-milestone orchestrators. (Tools: Read, Write, Bash, Grep, Glob, WebSearch, WebFetch, mcp__context7__*, mcp__firecrawl__*, mcp__exa__*)","- gsd-research-synthesizer: Synthesizes research outputs from parallel researcher agents into SUMMARY.md. Spawned by /gsd:new-project after 4 researcher agents complete. (Tools: Read, Write, Bash)","- gsd-roadmapper: Creates project roadmaps with phase breakdown, requirement mapping, success criteria derivation, and coverage validation. Spawned by /gsd:new-project orchestrator. (Tools: Read, Write, Bash, Glob, Grep)","- gsd-ui-auditor: Retroactive 6-pillar visual audit of implemented frontend code. Produces scored UI-REVIEW.md. Spawned by /gsd:ui-review orchestrator. (Tools: Read, Write, Bash, Grep, Glob)","- gsd-ui-checker: Validates UI-SPEC.md design contracts against 6 quality dimensions. Produces BLOCK/FLAG/PASS verdicts. Spawned by /gsd:ui-phase orchestrator. (Tools: Read, Bash, Glob, Grep)","- gsd-ui-researcher: Produces UI-SPEC.md design contract for frontend phases. Reads upstream artifacts, detects design system state, asks only unanswered questions. Spawned by /gsd:ui-phase orchestrator. (Tools: Read, Write, Bash, Grep, Glob, WebSearch, WebFetch, mcp__context7__*, mcp__firecrawl__*, mcp__exa__*)","- gsd-user-profiler: Analyzes extracted session messages across 8 behavioral dimensions to produce a scored developer profile with confidence levels and evidence. Spawned by profile orchestration workflows. (Tools: Read)","- gsd-verifier: Verifies phase goal achievement through goal-backward analysis. Checks codebase delivers what phase promised, not just that tasks completed. Creates VERIFICATION.md report. (Tools: Read, Write, Bash, Grep, Glob)","- hivemind: Analyze past coding sessions to find patterns, answer questions, and suggest improvements using the hivemind CLI. (Tools: Bash, Read, Grep, Glob, Write, Edit)","- networking-specialist: Investigates network connectivity, DNS, ingress, InfiniBand fabric, and RoCE configuration (Tools: All tools)","- physical-infra-specialist: Investigates physical infrastructure — hardware lifecycle, firmware, BMC, BMaaS, datacenter ops, delivery, and node diagnostics (Tools: All tools)","- Plan: Software architect agent for designing implementation plans. Use this when you need to plan the implementation strategy for a task. Returns step-by-step plans, identifies critical files, and considers architectural trade-offs. (Tools: All tools except Agent, ExitPlanMode, Edit, Write, NotebookEdit)","- statusline-setup: Use this agent to configure the user's Claude Code status line setting. (Tools: Read, Edit)","- storage-specialist: Investigates storage performance, VAST cluster health, NFS metrics, and PVC issues (Tools: All tools)","- sunk-specialist: Investigates SUNK cluster operations, Slurm jobs, nodesets, and partitions (Tools: All tools)","- superpowers:code-reviewer: Use this agent when a major project step has been completed and needs to be reviewed against the original plan and coding standards. Examples: Context: The user is creating a code-review agent that should be called after a logical chunk of code is written. user: \"I've finished implementing the user authentication system as outlined in step 3 of our plan\" assistant: \"Great work! Now let me use the code-reviewer agent to review the implementation against our plan and coding standards\" Since a major project step has been completed, use the code-reviewer agent to validate the work against the plan and identify any issues. Context: User has completed a significant feature implementation. user: \"The API endpoints for the task management system are now complete - that covers step 2 from our architecture document\" assistant: \"Excellent! Let me have the code-reviewer agent examine this implementation to ensure it aligns with our plan and follows best practices\" A numbered step from the planning document has been completed, so the code-reviewer agent should review the work. (Tools: All tools)","- training-specialist: Investigates distributed training failures, NCCL errors, IB/RoCE performance, and GPU workload issues (Tools: All tools)"],"removedTypes":[],"isInitial":true,"showConcurrencyNote":true},"type":"attachment","uuid":"a1190e0c-2e5b-43d5-b794-c293f654d772","timestamp":"2026-06-15T17:12:11.620Z","userType":"external","entrypoint":"cli","cwd":"/Users/tcitrin/Projects/tars-support/.worktrees/weave-e2e-test","sessionId":"adb6bee6-f913-4ce5-8bf8-2b0b5edbeeb8","version":"2.1.177","gitBranch":"weave-plugin-0.2.8"} +{"parentUuid":"a1190e0c-2e5b-43d5-b794-c293f654d772","isSidechain":false,"attachment":{"type":"mcp_instructions_delta","addedNames":["claude.ai Atlassian","claude.ai Glean","grafana","o11yops"],"addedBlocks":["## claude.ai Atlassian\nUse getTeamworkGraphContext when retrieving or reasoning about relationships and connections between Atlassian entities - such as work items, people, teams, goals, projects, or third-party objects. Do not use Teamwork Graph tools for basic CRUD operations. After calling getTeamworkGraphContext, call getTeamworkGraphObject on key linked entities to retrieve richer detail.","## claude.ai Glean\nGlean MCP Server Usage Guidelines\n\nGlean is an enterprise search and knowledge platform that indexes your company's internal documents, people, communications, and data across 100+ connected apps (Google Workspace, Slack, Jira, Confluence, GitHub, Salesforce, and more). Use this server to search, retrieve, and analyze internal company information.\n\n## Tool Selection\n\n1. **search vs chat**: Use \"search\" for document discovery and getting specific results with metadata. Use \"chat\" for complex questions requiring analysis, synthesis, or reasoning across multiple sources.\n\n2. **search -> read_document workflow**: After finding relevant documents via search, use read_document with the URLs to get full content for deeper analysis.\n\n3. **employee_search for people queries**: Use employee_search for \"who is\", \"who works on\", org chart, and contact information queries. Do not use regular search for people lookups.\n\n## Enterprise Context Awareness\n\n1. **Permission-aware results**: All results are filtered based on the user's access permissions. If a user asks about a document they cannot access, results will be empty - this is expected behavior, not an error.\n\n2. **Internal company data scope**: Glean indexes internal company knowledge. Results reflect the organization's documents, people, and communications.\n\n3. **Confidentiality**: Treat all returned information as internal company data. Do not make assumptions about public availability.\n\n## Query Optimization\n\n1. **Use filters effectively**: Combine keywords with filters in a single query string:\n - owner:\"name\" - documents created by person\n - from:\"name\" - documents updated/commented on by person\n - updated:past_week, updated:today - recent documents\n - after:YYYY-MM-DD, before:YYYY-MM-DD - date ranges\n\n2. **Date formats**: Use relative formats (today, yesterday, past_week, past_month) or YYYY-MM-DD for absolute dates.\n\n3. **Iterative refinement**: If initial search returns too many or too few results, refine with additional filters rather than broadening the … [truncated]","## grafana\n\nThis server provides access to your Grafana instance and the surrounding ecosystem.\n\nAvailable Capabilities:\n- Dashboards: Search, retrieve, update, and create dashboards. Extract panel queries and datasource information.\n- Datasources: List and fetch details for datasources.\n- Prometheus & Loki: Run PromQL and LogQL queries, retrieve metric/log metadata, and explore label names/values.\n- ClickHouse: Query ClickHouse datasources via Grafana with macro and variable substitution support.\n- Elasticsearch: Query Elasticsearch datasources using Lucene syntax or Query DSL for logs and metrics.\n- Incidents: Search, create, update, and resolve incidents in Grafana Incident.\n- Sift Investigations: Start and manage Sift investigations, analyze logs/traces, find error patterns, and detect slow requests.\n- Alerting: List and fetch alert rules and notification contact points.\n- OnCall: View and manage on-call schedules, shifts, teams, and users.\n- Admin: List teams and perform administrative tasks.\n- Pyroscope: Profile applications and fetch profiling data.\n- Navigation: Generate deeplink URLs for Grafana resources like dashboards, panels, and Explore queries.\n- Rendering: Export dashboard panels or full dashboards as PNG images (requires Grafana Image Renderer plugin).\n- Proxied Tools: Access tools from external MCP servers (like Tempo) through dynamic discovery.\n\nNote that some of these capabilities may be disabled. Do not try to use features that are not available via tools.\n","## o11yops\n\nThis server provides proxied access to Grafana tools via MCP.\nAll Grafana credentials are managed server-side. Clients cannot override the target Grafana instance.\n\nIMPORTANT: Before running any query tool (query_prometheus, query_loki_logs, etc.), first consult the query_observability_knowledge_base tool to check label cardinality, find relevant metrics, and understand common query patterns. This helps you avoid high-cardinality queries that overload the system.\n\nDocs tool scope: search_coreweave_docs and query_filesystem_coreweave_docs search public/product CoreWeave documentation and OpenAPI specs, not private incident/SR/root-cause ground truth. They are useful for policy, procedure, product-command syntax, and user-facing docs. For internal SR/root-cause investigations, use observability KB, metrics, logs, dashboards, annotations, and alert rules as primary evidence. If docs are used during incident diagnosis, corroborate them with internal observability before the final diagnosis; do not let generic documentation override telemetry or KB evidence.\n\nFor best query performance, follow these guidelines:\n- Determine specific values for labels being queried, especially with high cardinality labels.\n- Do not use global datasources unless explicitly asked for.\n- Always start queries with a narrow time range and widen as more is needed. Consider whether an instant query is sufficient instead.\n- Use the minimum set of labels necessary to build your queries. Avoid using broad selectors.\n- When writing Loki queries, prefer using line filters over regex. Use parser expressions only after line filter expressions.\n- When writing metrics queries, use filtering and aggregate functions to help reduce your label set.\n- When calling any tool, include the \"user_prompt\" parameter with the user's original prompt that led to this tool call. This is optional but helps with observability.\n"],"removedNames":[]},"type":"attachment","uuid":"a2e53747-f74a-435a-8ddf-3a41ca2f6e3c","timestamp":"2026-06-15T17:12:11.620Z","userType":"external","entrypoint":"cli","cwd":"/Users/tcitrin/Projects/tars-support/.worktrees/weave-e2e-test","sessionId":"adb6bee6-f913-4ce5-8bf8-2b0b5edbeeb8","version":"2.1.177","gitBranch":"weave-plugin-0.2.8"} +{"parentUuid":"a2e53747-f74a-435a-8ddf-3a41ca2f6e3c","isSidechain":false,"attachment":{"type":"skill_listing","content":"- create-ticket: \n- fill-pr-template: \n- git-command-flow: \n- make-bmo: \n- make-good-pr: Generate a structured PR description that documents engineering evolution, design decisions, constraints, and deferred scope. Modeled on the format praised in coreweave/tars-support#207.\n- memory-export: \n- memory-integration: \n- node-health: \n- phoenix-warden-report: \n- pir: \n- pr-hygiene: PR Hygiene\n- rca: \n- session-preflight: Run at the start of any session. Confirms branch, working directory, worktree hygiene, env vars, and service reachability. Prevents wrong-branch dispatches and bad-assumption detours.\n- smc-h100-h200-bandwidth-pcie-link-degradation: \n- tars-mine-channel: Mine a team/domain Slack channel (e.g.,\n- totoro-docgen: Post-Build documentation generator for Totoro. Spawned automatically after a Build run completes to append one CHANGELOG entry summarizing what changed in the worktree. Works identically for Claude and Codex.\n- totoro-plan: Two-stage planning skill for Totoro — wraps superpowers:brainstorming, then emits a structured PLAN.md that Totoro can ingest as a PlanGraph and push to Jira.\n- verify-plan: Cross-check PLAN.md claimed status against actual git/PR state. Catches stale labels, wrong test counts, and open-when-merged PRs before you trust a completion claim.\n- analyze-ticket: Analyze a resolved support ticket to extract TARS requirements, knowledge gaps, and improvement opportunities.\n- audit-kb: Fact-check TARS knowledge base files against primary sources (Sourcegraph, Grafana). Accepts 1-10 files, audits in parallel via subagents, then applies fixes serially. Finds wrong commands, stale defaults, conflated concepts, and drifted values.\n- batch-analyze: Analyze a batch of 15 unanalyzed support tickets in parallel, applying all recommended changes automatically.\n- cite: Add verified Slack/Jira permalinks to responses. Use after a response with missing links, or inline with a question to ensure citations from the start.\n- cluster-health: Independent cluster health check via Grafana. Detects observability gaps, node anomalies, and infrastructure issues that alerting might miss.\n- collect-messages-by-user: Collect Slack message permalinks from a user in supp-/ext-/inci- channels. Incremental — skips already-processed date ranges.\n- confluence: Search, read, and publish to CoreWeave Confluence — runbooks, architecture docs, and internal knowledge.\n- d2e-review: D2E domain team review. Analyzes ticket volume, routing accuracy, escalation patterns, and collaboration quality between CSE team and a domain team (SUNK, CKS, Storage, Networking, Training). Produces HTML, Markdown, and themed PDF reports for D2E calls.\n- deep-mine: Deep-analyze a Slack channel over a time window. Reads all messages and threads, follows cross-references to linked channels, extracts structured findings at analyze-ticket depth, and applies KB changes directly.\n- drain-request: Handle node drain requests from\n- fix-knowledge: Fix incorrect knowledge discovered during a conversation. Creates a branch, commits the fix, opens a PR, and notifies the working group. Auto-invoked when TARS detects it gave wrong information from a repo file.\n- gather-channels: Gather new supp-, inci-, and maint- channels from Slack and JIRA for batch analysis. Cross-references against the ledger to find unanalyzed items.\n- grafana: Grafana metric gathering. Queries domain-relevant signals, returns structured metric summaries with threshold-based interpretation.\n- handoff: Generate a concise ticket handoff message for posting to the supp- channel. Interactive wizard walks the CSE through drafting a point-in-time summary for the incoming engineer.\n- hpc-perftest-image-check: Verify whether the hpc-perftest container image has actually changed on a cluster in the last N days. Disproves (or confirms) \"image regression\" hypotheses before routing.\n- jira: Search, view, and annotate Jira issues across CoreWeave projects (METAL, HAVOCK, KPLAT, TSM, etc.). Use for looking up hardware tickets, tracking support issues, checking issue status, and adding telemetry labels/comments.\n- mine-channel: Mine a team/domain Slack channel (e.g.,\n- morning: Daily briefing. Surfaces active POCs, Big Bird status, incidents, support tickets, and maintenance - then cross-references for impact.\n- nest-test: Agent-teams nesting probe — two-turn specialist run to verify Weave daemon traces tool calls from ALL turns, not just the last\n- netbox: Query CoreWeave's NetBox instance for circuits, providers, sites, devices, cables, IP addresses, prefixes, VLANs, and tenants. Use for physical infrastructure lookups during support triage.\n- node-cgroup-oom: Identify the pod that triggered a NodeCGroupOOM event by extracting the cgroup pod UID from kernel oom-kill logs and joining to kube_pod_container_info.\n- node-state-export: Export entire data center node fleet state to CSV. Shows every node's FLCC state, time in state, NVLink domain, owning org/cluster, and problem reason. Designed for customer transparency and vendor escalation.\n- nodebot: GPU node diagnosis using NodeBot MCP. Fetches raw data and applies diagnostic expertise to produce structured diagnosis.\n- ops-review: Review active POC engagements. Gathers org data from admin-app, cross-references with capacity claims and support tickets.\n- poc-status: POC engagement health report. Gathers Slack activity, Jira, Grafana metrics, and capacity data for a POC customer.\n- product-signal: Surface recurring infrastructure patterns from support ticket ledger. Groups tickets by domain and infers engineering patterns for product signal review. Ledger-only, no Slack queries.\n- profile-mine: Mine ext- customer channels for KB knowledge AND customer communication profiles. Extracts every person, their style, and what engineers should know.\n- re-analyze: Re-evaluate 6 previously analyzed tickets against current knowledge, apply improvements, and track before/after scores in the ledger.\n- reliability-report: Generate GPU cluster reliability report for AEs, TSMs, leadership. Covers job outcomes, node health, MTBF/MTTR, GPU hours, root cause. Outputs self-contained HTML.\n- resolve: Resolution assistance. Reads a support channel, spawns targeted specialist agents, and helps the engineer confirm diagnosis and reach resolution.\n- save: Post current investigation state to the supp- channel as a checkpoint for handoff between TARS sessions.\n- simulate: Run triage/resolve against simulated Slack fixtures for E2E testing of handoff, speed, and interactivity.\n- telemetry-report: View TARS usage telemetry — invocation counts, durations, time saved, engineer activity.\n- teleport-login: Ensure Teleport access to a CoreWeave K8s cluster. Guides the engineer through tsh login, generates kubeconfig, and validates kubectl connectivity.\n- ticket-audit: Generate a ticket audit report for a customer over a specified date range. Discovers tickets from Jira, classifies each via parallel agents reading Slack channels, and produces a CSV + analysis report.\n- ticket-hygiene: Scan open Jira tickets, read their Slack threads, and identify which can be closed, need follow-up, or are actively being worked.\n- triage: Support triage coordinator. Spawns specialist agent team to investigate a support ticket and produces a structured triage report.\n- triage-fast: Fast triage — reads the ticket, gathers context, classifies, and writes a context package for the engineer and /triage.\n- triage-smoke: Fast smoke test for the triage pipeline — creates a minimal report and exercises the full telemetry/Weave chain without spawning agents or reading Slack\n- tsm-review: Load published cluster health reports from Confluence for a TSM's customers and interactively review findings, drill down, and investigate live.\n- weave-trace: Print the Weave trace tree for a triage run — shows specialist agent nesting and tool call breakdown\n- gsd:add-backlog: Add an idea to the backlog parking lot (999.x numbering)\n- gsd:add-phase: Add phase to end of current milestone in roadmap\n- gsd:add-tests: Generate tests for a completed phase based on UAT criteria and implementation\n- gsd:add-todo: Capture idea or task as todo from current conversation context\n- gsd:audit-milestone: Audit milestone completion against original intent before archiving\n- gsd:audit-uat: Cross-phase audit of all outstanding UAT and verification items\n- gsd:autonomous: Run all remaining phases autonomously — discuss→plan→execute per phase\n- gsd:check-todos: List pending todos and select one to work on\n- gsd:cleanup: Archive accumulated phase directories from completed milestones\n- gsd:complete-milestone: Archive completed milestone and prepare for next version\n- gsd:debug: Systematic debugging with persistent state across context resets\n- gsd:discuss-phase: Gather phase context through adaptive questioning before planning. Use --auto to skip interactive questions (Claude picks recommended defaults).\n- gsd:do: Route freeform text to the right GSD command automatically\n- gsd:execute-phase: Execute all plans in a phase with wave-based parallelization\n- gsd:fast: Execute a trivial task inline — no subagents, no planning overhead\n- gsd:forensics: Post-mortem investigation for failed GSD workflows — analyzes git history, artifacts, and state to diagnose what went wrong\n- gsd:health: Diagnose planning directory health and optionally repair issues\n- gsd:help: Show available GSD commands and usage guide\n- gsd:insert-phase: Insert urgent work as decimal phase (e.g., 72.1) between existing phases\n- gsd:join-discord: Join the GSD Discord community\n- gsd:list-phase-assumptions: Surface Claude's assumptions about a phase approach before planning\n- gsd:list-workspaces: List active GSD workspaces and their status\n- gsd:manager: Interactive command center for managing multiple phases from one terminal\n- gsd:map-codebase: Analyze codebase with parallel mapper agents to produce .planning/codebase/ documents\n- gsd:milestone-summary: Generate a comprehensive project summary from milestone artifacts for team onboarding and review\n- gsd:new-milestone: Start a new milestone cycle — update PROJECT.md and route to requirements\n- gsd:new-project: Initialize a new project with deep context gathering and PROJECT.md\n- gsd:new-workspace: Create an isolated workspace with repo copies and independent .planning/\n- gsd:next: Automatically advance to the next logical step in the GSD workflow\n- gsd:note: Zero-friction idea capture. Append, list, or promote notes to todos.\n- gsd:pause-work: Create context handoff when pausing work mid-phase\n- gsd:plan-milestone-gaps: Create phases to close all gaps identified by milestone audit\n- gsd:plan-phase: Create detailed phase plan (PLAN.md) with verification loop\n- gsd:plant-seed: Capture a forward-looking idea with trigger conditions — surfaces automatically at the right milestone\n- gsd:pr-branch: Create a clean PR branch by filtering out .planning/ commits — ready for code review\n- gsd:profile-user: Generate developer behavioral profile and create Claude-discoverable artifacts\n- gsd:progress: Check project progress, show context, and route to next action (execute or plan)\n- gsd:quick: Execute a quick task with GSD guarantees (atomic commits, state tracking) but skip optional agents\n- gsd:reapply-patches: Reapply local modifications after a GSD update\n- gsd:remove-phase: Remove a future phase from roadmap and renumber subsequent phases\n- gsd:remove-workspace: Remove a GSD workspace and clean up worktrees\n- gsd:research-phase: Research how to implement a phase (standalone - usually use /gsd:plan-phase instead)\n- gsd:resume-work: Resume work from previous session with full context restoration\n- gsd:review: Request cross-AI peer review of phase plans from external AI CLIs\n- gsd:review-backlog: Review and promote backlog items to active milestone\n- gsd:session-report: Generate a session report with token usage estimates, work summary, and outcomes\n- gsd:set-profile: Switch model profile for GSD agents (quality/balanced/budget/inherit)\n- gsd:settings: Configure GSD workflow toggles and model profile\n- gsd:ship: Create PR, run review, and prepare for merge after verification passes\n- gsd:stats: Display project statistics — phases, plans, requirements, git metrics, and timeline\n- gsd:thread: Manage persistent context threads for cross-session work\n- gsd:ui-phase: Generate UI design contract (UI-SPEC.md) for frontend phases\n- gsd:ui-review: Retroactive 6-pillar visual audit of implemented frontend code\n- gsd:update: Update GSD to latest version with changelog display\n- gsd:validate-phase: Retroactively audit and fill Nyquist validation gaps for a completed phase\n- gsd:verify-work: Validate built features through conversational UAT\n- gsd:workstreams: Manage parallel workstreams — list, create, switch, status, progress, complete, and resume\n- handoff: Persist session state to memory + PLAN.md, then hand off context to a new Claude session in iTerm2.\n- summarize: Summarize current session context for handoff to a new conversation\n- totoro-context: Show the Totoro-injected ticket context for the current session\n- deep-research: Deep research harness — fan-out web searches, fetch sources, adversarially verify claims, synthesize a cited report. - When the user wants a deep, multi-source, fact-checked research report on any topic. BEFORE invoking, check if the question is specific enough to research directly — if underspecified (e.g., \"what car to buy\" without budget/use-case/region), ask 2-3 clarifying questions to narrow scope. Then pass the refined question as args, weaving the answers in.\n- superpowers:brainstorm: Deprecated - use the superpowers:brainstorming skill instead\n- superpowers:execute-plan: Deprecated - use the superpowers:executing-plans skill instead\n- superpowers:write-plan: Deprecated - use the superpowers:writing-plans skill instead\n- superpowers:brainstorming: You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.\n- superpowers:dispatching-parallel-agents: Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies\n- superpowers:executing-plans: Use when you have a written implementation plan to execute in a separate session with review checkpoints\n- superpowers:finishing-a-development-branch: Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup\n- superpowers:receiving-code-review: Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation\n- superpowers:requesting-code-review: Use when completing tasks, implementing major features, or before merging to verify work meets requirements\n- superpowers:subagent-driven-development: Use when executing implementation plans with independent tasks in the current session\n- superpowers:systematic-debugging: Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes\n- superpowers:test-driven-development: Use when implementing any feature or bugfix, before writing implementation code\n- superpowers:using-git-worktrees: Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification\n- superpowers:using-superpowers: Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions\n- superpowers:verification-before-completion: Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always\n- superpowers:writing-plans: Use when you have a spec or requirements for a multi-step task, before touching code\n- superpowers:writing-skills: Use when creating new skills, editing existing skills, or verifying skills work before deployment\n- memsearch:memory-recall: Search and recall relevant memories from past sessions via memsearch. Use when the user's question could benefit from historical context, past decisions, debugging notes, previous conversations, or project knowledge -- especially questions like 'what did I decide about X', 'why did we do Y', or 'have I seen this before'. Also use when you see `[memsearch] Memory available` hints injected via SessionStart or UserPromptSubmit. Typical flow: search for 3-5 chunks, expand the most relevant, optionally deep-drill into original transcripts via the anchor format. Skip when the question is purely about current code state (use Read/Grep), ephemeral (today's task only), or the user has explicitly asked to ignore memory.\n- update-config: Use this skill to configure the Claude Code harness via settings.json. Automated behaviors (\"from now on when X\", \"each time X\", \"whenever X\", \"before/after X\") require hooks configured in settings.json - the harness executes these, not Claude, so memory/preferences cannot fulfill them. Also use for: permissions (\"allow X\", \"add permission\", \"move permission to\"), env vars (\"set X=Y\"), hook troubleshooting, or any changes to settings.json/settings.local.json files. Examples: \"allow npm commands\", \"add bq permission to global settings\", \"move permission to user settings\", \"set DEBUG=true\", \"when claude stops show X\". For simple settings like theme/model, suggest the /config command.\n- keybindings-help: Use when the user wants to customize keyboard shortcuts, rebind keys, add chord bindings, or modify ~/.claude/keybindings.json. Examples: \"rebind ctrl+s\", \"add a chord shortcut\", \"change the submit key\", \"customize keybindings\".\n- verify: Verify that a code change actually does what it's supposed to by running the app and observing behavior. 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Modeled on the format praised in coreweave/tars-support#207.\n- memory-export\n- memory-integration\n- node-health\n- phoenix-warden-report\n- pir\n- pr-hygiene\n- rca\n- session-preflight: Run at the start of any session. Confirms branch, working directory, worktree hygiene, env vars, and service reachability. 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Automated behaviors (\"from now on when X\", \"each time X\", \"whenever X\", \"before/after X\") require hooks configured in settings.json - the harness executes these, not Claude, so memory/preferences cannot fulfill them. Also use for: permissions (\"allow X\", \"add permission\", \"move permission to\"), env vars (\"set X=Y\"), hook troubleshooting, or any changes to settings.json/settings.local.json files. Examples: \"allow npm commands\", \"add bq permission to global settings\", \"move permission to user settings\", \"set DEBUG=true\", \"when claude stops show X\". For simple settings like theme/model, suggest the /config command.\n- keybindings-help: Use when the user wants to customize keyboard shortcuts, rebind keys, add chord bindings, or modify ~/.claude/keybindings.json. 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team-lead."}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":170,"cache_read_input_tokens":48546,"output_tokens":13,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":170},"inference_geo":"not_available","iterations":[{"input_tokens":1,"output_tokens":13,"cache_read_input_tokens":48546,"cache_creation_input_tokens":170,"cache_creation":{"ephemeral_5m_input_tokens":170,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Cc5RGctBu3dD4AxeRWtM4","type":"assistant","uuid":"692cd603-8b47-4984-9344-8bf4972a9864","timestamp":"2026-06-15T17:12:42.095Z","userType":"external","entrypoint":"cli","cwd":"/Users/tcitrin/Projects/tars-support/.worktrees/weave-e2e-test","sessionId":"adb6bee6-f913-4ce5-8bf8-2b0b5edbeeb8","version":"2.1.177","gitBranch":"weave-plugin-0.2.8"} diff --git a/tests/fixtures/nest-test/subagents/agent-ab50fb9f3a91ed6f2.meta.json b/tests/fixtures/nest-test/subagents/agent-ab50fb9f3a91ed6f2.meta.json new file mode 100644 index 0000000..84a3546 --- /dev/null +++ b/tests/fixtures/nest-test/subagents/agent-ab50fb9f3a91ed6f2.meta.json @@ -0,0 +1 @@ +{"agentType":"nest-probe"} \ No newline at end of file diff --git a/tests/fixtures/nest-test/subagents/agent-aed00d987474206cf.jsonl b/tests/fixtures/nest-test/subagents/agent-aed00d987474206cf.jsonl new file mode 100644 index 0000000..7f71c59 --- /dev/null +++ b/tests/fixtures/nest-test/subagents/agent-aed00d987474206cf.jsonl @@ -0,0 +1,39 @@ +{"parentUuid":null,"isSidechain":true,"promptId":"3c6eef47-f3dd-4119-aaa1-1b6f0a5c7f50","agentId":"aed00d987474206cf","type":"user","message":{"role":"user","content":"\nYou are a nesting-probe teammate in team \"nest-test\". Do EXACTLY this and nothing else:\n1. Run Bash: echo \"nest-probe turn 1 step 1\"\n2. Run Bash: echo \"nest-probe turn 1 step 2\"\n3. Run Bash: echo \"nest-probe turn 1 step 3\"\nThen SendMessage to \"team-lead\" with exactly: \"turn-1-done\"\nThen STOP and wait. Do not run further tool calls until you receive another message.\n"},"uuid":"901164a6-0dcd-4dfe-b70e-e0741516d65e","timestamp":"2026-06-15T17:12:26.346Z","userType":"external","entrypoint":"cli","cwd":"/Users/tcitrin/Projects/tars-support/.worktrees/weave-e2e-test","sessionId":"adb6bee6-f913-4ce5-8bf8-2b0b5edbeeb8","version":"2.1.177","gitBranch":"weave-plugin-0.2.8"} +{"parentUuid":"901164a6-0dcd-4dfe-b70e-e0741516d65e","isSidechain":true,"agentId":"aed00d987474206cf","message":{"model":"claude-sonnet-4-6","id":"msg_01PaW8gR82zpWvDYU28PgZbz","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BSPGx8rJTm7ucnjouxmK7e","name":"Bash","input":{"command":"echo \"nest-probe turn 1 step 1\""},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":43755,"cache_read_input_tokens":0,"output_tokens":65,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":43755},"inference_geo":"not_available","iterations":[{"input_tokens":3,"output_tokens":65,"cache_read_input_tokens":0,"cache_creation_input_tokens":43755,"cache_creation":{"ephemeral_5m_input_tokens":43755,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011Cc5RFa2m9i2ph9FTW1PHD","type":"assistant","uuid":"d0e3e7a0-80c9-4eba-ac5b-548694f6e3a1","timestamp":"2026-06-15T17:12:28.513Z","userType":"external","entrypoint":"cli","cwd":"/Users/tcitrin/Projects/tars-support/.worktrees/weave-e2e-test","sessionId":"adb6bee6-f913-4ce5-8bf8-2b0b5edbeeb8","version":"2.1.177","gitBranch":"weave-plugin-0.2.8"} 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+{"parentUuid":"444d0cdf-bdec-41b4-b0fa-66f708a75d34","isSidechain":true,"agentId":"aed00d987474206cf","attachment":{"type":"agent_listing_delta","addedTypes":["cks-specialist","claude","claude-code-guide","Explore","general-purpose","gsd-advisor-researcher","gsd-assumptions-analyzer","gsd-codebase-mapper","gsd-debugger","gsd-executor","gsd-integration-checker","gsd-nyquist-auditor","gsd-phase-researcher","gsd-plan-checker","gsd-planner","gsd-project-researcher","gsd-research-synthesizer","gsd-roadmapper","gsd-ui-auditor","gsd-ui-checker","gsd-ui-researcher","gsd-user-profiler","gsd-verifier","hivemind","networking-specialist","physical-infra-specialist","Plan","statusline-setup","storage-specialist","sunk-specialist","superpowers:code-reviewer","training-specialist"],"addedLines":["- cks-specialist: Investigates CKS cluster health, nodes, pods, GPU, and scheduling (Tools: All tools)","- claude: Catch-all for any task that doesn't fit a more specific agent. FleetView's default when no agent name is typed. (Tools: *)","- claude-code-guide: Use this agent when the user asks questions (\"Can Claude...\", \"Does Claude...\", \"How do I...\") about: (1) Claude Code (the CLI tool) - features, hooks, slash commands, MCP servers, settings, IDE integrations, keyboard shortcuts; (2) Claude Agent SDK - building custom agents; (3) Claude API (formerly Anthropic API) - API usage, tool use, Anthropic SDK usage. **IMPORTANT:** Before spawning a new agent, check if there is already a running or recently completed claude-code-guide agent that you can continue via SendMessage. (Tools: Bash, Read, WebFetch, WebSearch)","- Explore: Fast read-only search agent for locating code. Use it to find files by pattern (eg. \"src/components/**/*.tsx\"), grep for symbols or keywords (eg. \"API endpoints\"), or answer \"where is X defined / which files reference Y.\" Do NOT use it for code review, design-doc auditing, cross-file consistency checks, or open-ended analysis — it reads excerpts rather than whole files and will miss content past its read window. When calling, specify search breadth: \"quick\" for a single targeted lookup, \"medium\" for moderate exploration, or \"very thorough\" to search across multiple locations and naming conventions. (Tools: All tools except Agent, ExitPlanMode, Edit, Write, NotebookEdit)","- general-purpose: General-purpose agent for researching complex questions, searching for code, and executing multi-step tasks. When you are searching for a keyword or file and are not confident that you will find the right match in the first few tries use this agent to perform the search for you. (Tools: *)","- gsd-advisor-researcher: Researches a single gray area decision and returns a structured comparison table with rationale. Spawned by discuss-phase advisor mode. (Tools: Read, Bash, Grep, Glob, WebSearch, WebFetch, mcp__context7__*)","- gsd-assumptions-analyzer: Deeply analyzes codebase for a phase and returns structured assumptions with evidence. Spawned by discuss-phase assumptions mode. (Tools: Read, Bash, Grep, Glob)","- gsd-codebase-mapper: Explores codebase and writes structured analysis documents. Spawned by map-codebase with a focus area (tech, arch, quality, concerns). Writes documents directly to reduce orchestrator context load. (Tools: Read, Bash, Grep, Glob, Write)","- gsd-debugger: Investigates bugs using scientific method, manages debug sessions, handles checkpoints. Spawned by /gsd:debug orchestrator. (Tools: Read, Write, Edit, Bash, Grep, Glob, WebSearch)","- gsd-executor: Executes GSD plans with atomic commits, deviation handling, checkpoint protocols, and state management. Spawned by execute-phase orchestrator or execute-plan command. (Tools: Read, Write, Edit, Bash, Grep, Glob)","- gsd-integration-checker: Verifies cross-phase integration and E2E flows. Checks that phases connect properly and user workflows complete end-to-end. (Tools: Read, Bash, Grep, Glob)","- gsd-nyquist-auditor: Fills Nyquist validation gaps by generating tests and verifying coverage for phase requirements (Tools: Read, Write, Edit, Bash, Glob, Grep)","- gsd-phase-researcher: Researches how to implement a phase before planning. Produces RESEARCH.md consumed by gsd-planner. Spawned by /gsd:plan-phase orchestrator. (Tools: Read, Write, Bash, Grep, Glob, WebSearch, WebFetch, mcp__context7__*, mcp__firecrawl__*, mcp__exa__*)","- gsd-plan-checker: Verifies plans will achieve phase goal before execution. Goal-backward analysis of plan quality. Spawned by /gsd:plan-phase orchestrator. (Tools: Read, Bash, Glob, Grep)","- gsd-planner: Creates executable phase plans with task breakdown, dependency analysis, and goal-backward verification. Spawned by /gsd:plan-phase orchestrator. (Tools: Read, Write, Bash, Glob, Grep, WebFetch, mcp__context7__*)","- gsd-project-researcher: Researches domain ecosystem before roadmap creation. Produces files in .planning/research/ consumed during roadmap creation. Spawned by /gsd:new-project or /gsd:new-milestone orchestrators. (Tools: Read, Write, Bash, Grep, Glob, WebSearch, WebFetch, mcp__context7__*, mcp__firecrawl__*, mcp__exa__*)","- gsd-research-synthesizer: Synthesizes research outputs from parallel researcher agents into SUMMARY.md. Spawned by /gsd:new-project after 4 researcher agents complete. (Tools: Read, Write, Bash)","- gsd-roadmapper: Creates project roadmaps with phase breakdown, requirement mapping, success criteria derivation, and coverage validation. Spawned by /gsd:new-project orchestrator. (Tools: Read, Write, Bash, Glob, Grep)","- gsd-ui-auditor: Retroactive 6-pillar visual audit of implemented frontend code. Produces scored UI-REVIEW.md. Spawned by /gsd:ui-review orchestrator. (Tools: Read, Write, Bash, Grep, Glob)","- gsd-ui-checker: Validates UI-SPEC.md design contracts against 6 quality dimensions. Produces BLOCK/FLAG/PASS verdicts. Spawned by /gsd:ui-phase orchestrator. (Tools: Read, Bash, Glob, Grep)","- gsd-ui-researcher: Produces UI-SPEC.md design contract for frontend phases. Reads upstream artifacts, detects design system state, asks only unanswered questions. Spawned by /gsd:ui-phase orchestrator. (Tools: Read, Write, Bash, Grep, Glob, WebSearch, WebFetch, mcp__context7__*, mcp__firecrawl__*, mcp__exa__*)","- gsd-user-profiler: Analyzes extracted session messages across 8 behavioral dimensions to produce a scored developer profile with confidence levels and evidence. Spawned by profile orchestration workflows. (Tools: Read)","- gsd-verifier: Verifies phase goal achievement through goal-backward analysis. Checks codebase delivers what phase promised, not just that tasks completed. Creates VERIFICATION.md report. (Tools: Read, Write, Bash, Grep, Glob)","- hivemind: Analyze past coding sessions to find patterns, answer questions, and suggest improvements using the hivemind CLI. (Tools: Bash, Read, Grep, Glob, Write, Edit)","- networking-specialist: Investigates network connectivity, DNS, ingress, InfiniBand fabric, and RoCE configuration (Tools: All tools)","- physical-infra-specialist: Investigates physical infrastructure — hardware lifecycle, firmware, BMC, BMaaS, datacenter ops, delivery, and node diagnostics (Tools: All tools)","- Plan: Software architect agent for designing implementation plans. Use this when you need to plan the implementation strategy for a task. Returns step-by-step plans, identifies critical files, and considers architectural trade-offs. (Tools: All tools except Agent, ExitPlanMode, Edit, Write, NotebookEdit)","- statusline-setup: Use this agent to configure the user's Claude Code status line setting. (Tools: Read, Edit)","- storage-specialist: Investigates storage performance, VAST cluster health, NFS metrics, and PVC issues (Tools: All tools)","- sunk-specialist: Investigates SUNK cluster operations, Slurm jobs, nodesets, and partitions (Tools: All tools)","- superpowers:code-reviewer: Use this agent when a major project step has been completed and needs to be reviewed against the original plan and coding standards. Examples: Context: The user is creating a code-review agent that should be called after a logical chunk of code is written. user: \"I've finished implementing the user authentication system as outlined in step 3 of our plan\" assistant: \"Great work! Now let me use the code-reviewer agent to review the implementation against our plan and coding standards\" Since a major project step has been completed, use the code-reviewer agent to validate the work against the plan and identify any issues. Context: User has completed a significant feature implementation. user: \"The API endpoints for the task management system are now complete - that covers step 2 from our architecture document\" assistant: \"Excellent! Let me have the code-reviewer agent examine this implementation to ensure it aligns with our plan and follows best practices\" A numbered step from the planning document has been completed, so the code-reviewer agent should review the work. (Tools: All tools)","- training-specialist: Investigates distributed training failures, NCCL errors, IB/RoCE performance, and GPU workload issues (Tools: All tools)"],"removedTypes":[],"isInitial":true,"showConcurrencyNote":true},"type":"attachment","uuid":"d6a64237-9392-4214-9c82-f3e25a6cda1a","timestamp":"2026-06-15T17:12:29.139Z","userType":"external","entrypoint":"cli","cwd":"/Users/tcitrin/Projects/tars-support/.worktrees/weave-e2e-test","sessionId":"adb6bee6-f913-4ce5-8bf8-2b0b5edbeeb8","version":"2.1.177","gitBranch":"weave-plugin-0.2.8"} +{"parentUuid":"d6a64237-9392-4214-9c82-f3e25a6cda1a","isSidechain":true,"agentId":"aed00d987474206cf","attachment":{"type":"mcp_instructions_delta","addedNames":["claude.ai Atlassian","claude.ai Glean","grafana","o11yops"],"addedBlocks":["## claude.ai Atlassian\nUse getTeamworkGraphContext when retrieving or reasoning about relationships and connections between Atlassian entities - such as work items, people, teams, goals, projects, or third-party objects. Do not use Teamwork Graph tools for basic CRUD operations. After calling getTeamworkGraphContext, call getTeamworkGraphObject on key linked entities to retrieve richer detail.","## claude.ai Glean\nGlean MCP Server Usage Guidelines\n\nGlean is an enterprise search and knowledge platform that indexes your company's internal documents, people, communications, and data across 100+ connected apps (Google Workspace, Slack, Jira, Confluence, GitHub, Salesforce, and more). Use this server to search, retrieve, and analyze internal company information.\n\n## Tool Selection\n\n1. **search vs chat**: Use \"search\" for document discovery and getting specific results with metadata. Use \"chat\" for complex questions requiring analysis, synthesis, or reasoning across multiple sources.\n\n2. **search -> read_document workflow**: After finding relevant documents via search, use read_document with the URLs to get full content for deeper analysis.\n\n3. **employee_search for people queries**: Use employee_search for \"who is\", \"who works on\", org chart, and contact information queries. Do not use regular search for people lookups.\n\n## Enterprise Context Awareness\n\n1. **Permission-aware results**: All results are filtered based on the user's access permissions. If a user asks about a document they cannot access, results will be empty - this is expected behavior, not an error.\n\n2. **Internal company data scope**: Glean indexes internal company knowledge. Results reflect the organization's documents, people, and communications.\n\n3. **Confidentiality**: Treat all returned information as internal company data. Do not make assumptions about public availability.\n\n## Query Optimization\n\n1. **Use filters effectively**: Combine keywords with filters in a single query string:\n - owner:\"name\" - documents created by person\n - from:\"name\" - documents updated/commented on by person\n - updated:past_week, updated:today - recent documents\n - after:YYYY-MM-DD, before:YYYY-MM-DD - date ranges\n\n2. **Date formats**: Use relative formats (today, yesterday, past_week, past_month) or YYYY-MM-DD for absolute dates.\n\n3. **Iterative refinement**: If initial search returns too many or too few results, refine with additional filters rather than broadening the … [truncated]","## grafana\n\nThis server provides access to your Grafana instance and the surrounding ecosystem.\n\nAvailable Capabilities:\n- Dashboards: Search, retrieve, update, and create dashboards. Extract panel queries and datasource information.\n- Datasources: List and fetch details for datasources.\n- Prometheus & Loki: Run PromQL and LogQL queries, retrieve metric/log metadata, and explore label names/values.\n- ClickHouse: Query ClickHouse datasources via Grafana with macro and variable substitution support.\n- Elasticsearch: Query Elasticsearch datasources using Lucene syntax or Query DSL for logs and metrics.\n- Incidents: Search, create, update, and resolve incidents in Grafana Incident.\n- Sift Investigations: Start and manage Sift investigations, analyze logs/traces, find error patterns, and detect slow requests.\n- Alerting: List and fetch alert rules and notification contact points.\n- OnCall: View and manage on-call schedules, shifts, teams, and users.\n- Admin: List teams and perform administrative tasks.\n- Pyroscope: Profile applications and fetch profiling data.\n- Navigation: Generate deeplink URLs for Grafana resources like dashboards, panels, and Explore queries.\n- Rendering: Export dashboard panels or full dashboards as PNG images (requires Grafana Image Renderer plugin).\n- Proxied Tools: Access tools from external MCP servers (like Tempo) through dynamic discovery.\n\nNote that some of these capabilities may be disabled. Do not try to use features that are not available via tools.\n","## o11yops\n\nThis server provides proxied access to Grafana tools via MCP.\nAll Grafana credentials are managed server-side. Clients cannot override the target Grafana instance.\n\nIMPORTANT: Before running any query tool (query_prometheus, query_loki_logs, etc.), first consult the query_observability_knowledge_base tool to check label cardinality, find relevant metrics, and understand common query patterns. This helps you avoid high-cardinality queries that overload the system.\n\nDocs tool scope: search_coreweave_docs and query_filesystem_coreweave_docs search public/product CoreWeave documentation and OpenAPI specs, not private incident/SR/root-cause ground truth. They are useful for policy, procedure, product-command syntax, and user-facing docs. For internal SR/root-cause investigations, use observability KB, metrics, logs, dashboards, annotations, and alert rules as primary evidence. If docs are used during incident diagnosis, corroborate them with internal observability before the final diagnosis; do not let generic documentation override telemetry or KB evidence.\n\nFor best query performance, follow these guidelines:\n- Determine specific values for labels being queried, especially with high cardinality labels.\n- Do not use global datasources unless explicitly asked for.\n- Always start queries with a narrow time range and widen as more is needed. Consider whether an instant query is sufficient instead.\n- Use the minimum set of labels necessary to build your queries. Avoid using broad selectors.\n- When writing Loki queries, prefer using line filters over regex. Use parser expressions only after line filter expressions.\n- When writing metrics queries, use filtering and aggregate functions to help reduce your label set.\n- When calling any tool, include the \"user_prompt\" parameter with the user's original prompt that led to this tool call. 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Explores user intent, requirements and design before implementation.\n- superpowers:dispatching-parallel-agents\n- superpowers:executing-plans\n- superpowers:finishing-a-development-branch\n- superpowers:receiving-code-review\n- superpowers:requesting-code-review: Use when completing tasks, implementing major features, or before merging to verify work meets requirements\n- superpowers:subagent-driven-development\n- superpowers:systematic-debugging\n- superpowers:test-driven-development\n- superpowers:using-git-worktrees\n- superpowers:using-superpowers\n- superpowers:verification-before-completion\n- superpowers:writing-plans\n- superpowers:writing-skills\n- memsearch:memory-recall\n- update-config: Use this skill to configure the Claude Code harness via settings.json. Automated behaviors (\"from now on when X\", \"each time X\", \"whenever X\", \"before/after X\") require hooks configured in settings.json - the harness executes these, not Claude, so memory/preferences cannot fulfill them. Also use for: permissions (\"allow X\", \"add permission\", \"move permission to\"), env vars (\"set X=Y\"), hook troubleshooting, or any changes to settings.json/settings.local.json files. Examples: \"allow npm commands\", \"add bq permission to global settings\", \"move permission to user settings\", \"set DEBUG=true\", \"when claude stops show X\". For simple settings like theme/model, suggest the /config command.\n- keybindings-help: Use when the user wants to customize keyboard shortcuts, rebind keys, add chord bindings, or modify ~/.claude/keybindings.json. Examples: \"rebind ctrl+s\", \"add a chord shortcut\", \"change the submit key\", \"customize keybindings\".\n- verify: Verify that a code change actually does what it's supposed to by running the app and observing behavior. Use when asked to verify a PR, confirm a fix works, test a change manually, check that a feature works, or validate local changes before pushing.\n- code-review: Review the current diff for correctness bugs and reuse/simplification/efficiency cleanups at the given effort level (low/medium: fewer, high-confidence findings; high→max: broader coverage, may include uncertain findings). Pass --comment to post findings as inline PR comments, or --fix to apply the findings to the working tree after the review.\n- simplify: Review the changed code for reuse, simplification, efficiency, and altitude cleanups, then apply the fixes. Quality only — it does not hunt for bugs; use /code-review for that.\n- fewer-permission-prompts: Scan your transcripts for common read-only Bash and MCP tool calls, then add a prioritized allowlist to project .claude/settings.json to reduce permission prompts.\n- loop: Run a prompt or slash command on a recurring interval (e.g. /loop 5m /foo). Omit the interval to let the model self-pace. - When the user wants to set up a recurring task, poll for status, or run something repeatedly on an interval (e.g. \"check the deploy every 5 minutes\", \"keep running /babysit-prs\"). Do NOT invoke for one-off tasks.\n- schedule: Create, update, list, or run scheduled cloud agents (routines) that execute on a cron schedule. - When the user wants to schedule a recurring cloud agent, set up automated tasks, create a cron job for Claude Code, or manage their scheduled agents/routines. Also use when the user wants a one-time scheduled run (\"run this once at 3pm\", \"remind me to check X tomorrow\").\n- claude-api: Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration.\nTRIGGER — read BEFORE opening the target file; don't skip because it \"looks like a one-liner\" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Fable, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing/model choice/limits/caching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent/MCP/tool-definition/multi-agent/RAG/LLM-judge/computer-use; generate/summarize/extract/classify/rewrite/converse over NL; debugging refusals/cutoffs/streaming/tool-calls/tokens).\nSKIP only when another provider is being worked on (overrides all triggers): OpenAI/GPT/Gemini/Llama/Mistral/Cohere/Ollama named in the query; OR `grep -rE 'openai|langchain_openai|google.generativeai|genai|mistralai|cohere|ollama'` over the project hits (run this grep FIRST if no provider named — don't Read the file).\n- run: Launch and drive this project's app to see a change working. Use when asked to run, start, or screenshot the app, or to confirm a change works in the real app (not just tests). First looks for a project skill that already covers launching the app; otherwise falls back to built-in patterns per project type (CLI, server, TUI, Electron, browser-driven, library).\n- init\n- review\n- 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SPDX-FileCopyrightText: 2026 CoreWeave, Inc. +// SPDX-License-Identifier: MIT +// SPDX-PackageName: weave-claude-code + +// Locked TDD spec (A1–A8) for buildTrace over a REAL /nest-test run. +// Fixture: tests/fixtures/nest-test — captured from session adb6bee6, the +// current two-turn nest-test procedure (coordinator spawns ONE teammate +// `nest-probe`, drives it across two turns: 3 Bash + turn-1-done, then 2 Bash +// + turn-2-done). The harness left TWO nest-probe transcripts for the one +// teammate (a partial turn-1-only + a complete both-turns) — the re-spawn case +// that exercises merge/dedup. P0 is correct tool→agent attribution. + +import { test } from 'node:test'; +import assert from 'node:assert/strict'; +import * as fs from 'node:fs'; +import * as os from 'node:os'; +import * as path from 'node:path'; +import { + BasicTracerProvider, + InMemorySpanExporter, + SimpleSpanProcessor, + ReadableSpan, +} from '@opentelemetry/sdk-trace-base'; +import { buildTrace } from '../src/buildTrace.ts'; +import { ATTR, OP } from '../src/genaiSpans.ts'; + +const FIXTURE = path.join(import.meta.dirname, 'fixtures', 'nest-test'); + +// buildTrace requires the transcript to live under $HOME and discovers +// subagents at `/subagents/`. Lay the fixture out +// that way in a temp HOME dir. +function stageFixture(): { transcriptPath: string; dir: string } { + const dir = fs.mkdtempSync(path.join(os.homedir(), '.wcp-nesttest-')); + const transcriptPath = path.join(dir, 'session.jsonl'); + fs.copyFileSync(path.join(FIXTURE, 'session.jsonl'), transcriptPath); + const subDest = path.join(dir, 'session', 'subagents'); + fs.mkdirSync(subDest, { recursive: true }); + for (const f of fs.readdirSync(path.join(FIXTURE, 'subagents'))) { + fs.copyFileSync(path.join(FIXTURE, 'subagents', f), path.join(subDest, f)); + } + return { transcriptPath, dir }; +} + +function build(): ReadableSpan[] { + const exporter = new InMemorySpanExporter(); + const provider = new BasicTracerProvider({ spanProcessors: [new SimpleSpanProcessor(exporter)] }); + const { transcriptPath, dir } = stageFixture(); + try { + buildTrace(provider.getTracer('test'), transcriptPath, { + sessionId: 'adb6bee6', cwd: '/work', source: 'startup', + agentName: 'tars', pluginVersion: '9.9.9', + }); + return exporter.getFinishedSpans(); + } finally { + fs.rmSync(dir, { recursive: true, force: true }); + } +} + +const op = (s: ReadableSpan) => s.attributes[ATTR.OPERATION_NAME]; +const tool = (s: ReadableSpan) => s.attributes[ATTR.TOOL_NAME]; +const agentName = (s: ReadableSpan) => s.attributes[ATTR.AGENT_NAME]; +const agentId = (s: ReadableSpan) => s.attributes[ATTR.AGENT_ID]; +const id = (s: ReadableSpan) => s.spanContext().spanId; +const parent = (s: ReadableSpan) => s.parentSpanContext?.spanId; + +function invokeAgents(spans: ReadableSpan[]) { return spans.filter(s => op(s) === OP.INVOKE_AGENT); } +function childrenOf(spans: ReadableSpan[], parentId: string) { + return spans.filter(s => parent(s) === parentId); +} +function toolsUnder(spans: ReadableSpan[], parentId: string, name: string) { + return childrenOf(spans, parentId).filter(s => op(s) === OP.EXECUTE_TOOL && tool(s) === name); +} + +test('nest-test tree — A1′: every root is a coordinator turn (invoke_agent @tars); nest-probe is never a root', () => { + const spans = build(); + const roots = spans.filter(s => !parent(s)); + assert.ok(roots.length >= 1, 'at least one coordinator turn root'); + for (const r of roots) { + assert.equal(op(r), OP.INVOKE_AGENT, 'root is invoke_agent'); + assert.equal(agentName(r), 'tars', 'root is the coordinator'); + } + assert.ok(!roots.some(r => agentName(r) === 'nest-probe'), 'nest-probe is not a root'); +}); + +test('nest-test tree — A2/A2′: exactly one nest-probe invoke_agent (re-spawn merged, not duplicated)', () => { + const spans = build(); + const probes = invokeAgents(spans).filter(s => agentName(s) === 'nest-probe'); + assert.equal(probes.length, 1, 'the two nest-probe transcripts resolve to ONE invoke_agent span'); +}); + +test('nest-test tree — A3: nest-probe parents under the root', () => { + const spans = build(); + const root = spans.find(s => !parent(s))!; + const probe = invokeAgents(spans).find(s => agentName(s) === 'nest-probe')!; + assert.equal(parent(probe), id(root), 'nest-probe.parent == root'); +}); + +test('nest-test tree — A4: nest-probe has a non-empty agent_id, distinct from root (UI can separate them)', () => { + const spans = build(); + const root = spans.find(s => !parent(s))!; + const probe = invokeAgents(spans).find(s => agentName(s) === 'nest-probe')!; + assert.ok(agentId(probe), 'nest-probe agent_id is non-empty'); + assert.notEqual(agentId(probe), agentId(root), 'nest-probe agent_id differs from root'); +}); + +test('nest-test tree — A5/A2′: nest-probe owns exactly 5 Bash + 2 SendMessage (turn-1 NOT double-counted)', () => { + const spans = build(); + const probe = invokeAgents(spans).find(s => agentName(s) === 'nest-probe')!; + assert.equal(toolsUnder(spans, id(probe), 'Bash').length, 5, '5 Bash (turn1×3 + turn2×2), deduped'); + assert.equal(toolsUnder(spans, id(probe), 'SendMessage').length, 2, '2 SendMessage (turn-1-done, turn-2-done)'); +}); + +test('nest-test tree — A6: nest-probe Bash spans cover BOTH turns (all-turns attribution)', () => { + const spans = build(); + const probe = invokeAgents(spans).find(s => agentName(s) === 'nest-probe')!; + const cmds = toolsUnder(spans, id(probe), 'Bash') + .map(s => String(s.attributes[ATTR.TOOL_CALL_ARGUMENTS] ?? '')); + const blob = cmds.join('\n'); + for (const marker of ['turn 1 step 1', 'turn 1 step 2', 'turn 1 step 3', 'turn 2 step 1', 'turn 2 step 2']) { + assert.ok(blob.includes(marker), `Bash commands include "${marker}"`); + } +}); + +test('nest-test tree — A7: coordinator TeamCreate + SendMessage attributed to coordinator roots, not nest-probe', () => { + const spans = build(); + const roots = spans.filter(s => !parent(s)); + const rootIds = new Set(roots.map(id)); + const probe = invokeAgents(spans).find(s => agentName(s) === 'nest-probe')!; + const coordTool = (name: string) => + spans.filter(s => op(s) === OP.EXECUTE_TOOL && tool(s) === name && rootIds.has(parent(s)!)).length; + assert.equal(coordTool('TeamCreate'), 1, 'TeamCreate under a coordinator root'); + assert.equal(coordTool('SendMessage'), 1, 'coordinator SendMessage(→nest-probe) under a coordinator root'); + // coordinator's SendMessage must NOT be attributed to the teammate + assert.equal( + childrenOf(spans, id(probe)).filter(s => tool(s) === 'SendMessage').length, 2, + 'nest-probe owns only its own 2 SendMessages', + ); +}); + +test('nest-test tree — A9: child spans carry their owning agent (the field the Agents view groups on)', () => { + const spans = build(); + const probe = invokeAgents(spans).find(s => agentName(s) === 'nest-probe')!; + const probeChildren = childrenOf(spans, id(probe)).filter(s => op(s) === OP.EXECUTE_TOOL || op(s) === OP.CHAT); + assert.ok(probeChildren.length > 0, 'nest-probe has tool/chat children'); + for (const c of probeChildren) { + assert.equal(agentName(c), 'nest-probe', `child ${op(c)}/${tool(c) ?? ''} attributed to nest-probe`); + assert.equal(agentId(c), agentId(probe), 'child carries nest-probe agent_id'); + } + // coordinator's own tool/chat children carry the coordinator's name + const roots = spans.filter(s => !parent(s)); + const coordChildren = roots.flatMap(r => childrenOf(spans, id(r))) + .filter(s => op(s) === OP.EXECUTE_TOOL || op(s) === OP.CHAT); + for (const c of coordChildren) { + assert.equal(agentName(c), 'tars', `coordinator child ${op(c)}/${tool(c) ?? ''} attributed to coordinator`); + } +}); + +test('nest-test tree — A8: no orphans (every span parents to a span in the trace)', () => { + const spans = build(); + const ids = new Set(spans.map(id)); + const orphans = spans.filter(s => parent(s) && !ids.has(parent(s)!)); + assert.equal(orphans.length, 0, `orphans: ${orphans.map(s => `${op(s)}/${tool(s) ?? ''}`).join(', ')}`); +}); From 7747b5d49f0c1a34e972f80685f0dcdc3b98b6cd Mon Sep 17 00:00:00 2001 From: Tito Citrin Date: Mon, 15 Jun 2026 14:07:01 -0400 Subject: [PATCH 10/11] fix(trace): give execute_tool spans real transcript timestamps MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit execute_tool spans were created with no startTime, so buildTrace stamped every tool span with build-time now() at SessionEnd — collapsing all tool calls to a single instant (~minutes after the real session) and destroying execution order. In the UI this showed e.g. turn-2-done before turn-1-done, and tools appeared after all chat spans instead of interleaved. Parse each tool call's real times — assistant-message timestamp (tool_use issued = span start) and tool_result message timestamp (result returned = span end) — and stamp them on the span, mirroring chat spans. End falls back to the start when no result is present, so a missing result gives a near-zero-duration span rather than stretching to now(). New A10 asserts nest-probe's Bash spans have distinct, ordered real timestamps (turn-1 before turn-2), not one build-time instant. 79/79 green. The daemon shares these helpers but passes no startedAt (its spans are created live at the real event time), so its behaviour is unchanged. Co-Authored-By: Claude Opus 4.8 (1M context) --- src/buildTrace.ts | 6 +++++- src/genaiSpans.ts | 6 +++++- src/parser.ts | 9 +++++++++ tests/nest-test-tree.test.ts | 15 +++++++++++++++ 4 files changed, 34 insertions(+), 2 deletions(-) diff --git a/src/buildTrace.ts b/src/buildTrace.ts index 0936007..c8d11e4 100644 --- a/src/buildTrace.ts +++ b/src/buildTrace.ts @@ -360,6 +360,7 @@ function emitToolCall( return; } + const startedAt = toDate(tc.timestamp); const toolSpan = startToolSpan(tracer, parentSpan, { toolName: tc.toolName, toolUseId: tc.toolUseId, @@ -367,6 +368,7 @@ function emitToolCall( displayName: toolDisplayName(tc.toolName, tc.toolInput), agentName: owner.agentName, agentId: owner.agentId, + startedAt, }); if (tc.toolResult !== undefined) { toolSpan.setAttribute(ATTR.TOOL_CALL_RESULT, jsonStr(tc.toolResult)); @@ -375,7 +377,9 @@ function emitToolCall( toolSpan.setAttribute(ATTR.ERROR_TYPE, 'tool_error'); toolSpan.setStatus({ code: SpanStatusCode.ERROR }); } - toolSpan.end(); + // End at the tool_result time; fall back to the start so a missing result + // gives a near-zero-duration span rather than stretching to build-time now(). + toolSpan.end(toDate(tc.resultTimestamp) ?? startedAt); } /** diff --git a/src/genaiSpans.ts b/src/genaiSpans.ts index 0d843c1..647e9fa 100644 --- a/src/genaiSpans.ts +++ b/src/genaiSpans.ts @@ -295,6 +295,10 @@ export interface ToolSpanArgs { * to the agent that ran it (it groups by agent identity, not span tree). */ agentName?: string; agentId?: string; + /** Real start time from the transcript (the assistant message that issued the + * tool_use). Without it the span gets build-time `now()`, collapsing every + * tool span to one instant and destroying execution order in the UI. */ + startedAt?: TimeInput; } export function startToolSpan(tracer: Tracer, parentSpan: Span, args: ToolSpanArgs): Span { @@ -310,7 +314,7 @@ export function startToolSpan(tracer: Tracer, parentSpan: Span, args: ToolSpanAr return tracer.startSpan( `${OP.EXECUTE_TOOL} ${args.toolName}`, - { kind: SpanKind.INTERNAL, attributes: attrs }, + { kind: SpanKind.INTERNAL, attributes: attrs, startTime: args.startedAt }, ctxWithParent(parentSpan), ); } diff --git a/src/parser.ts b/src/parser.ts index 74ad8be..d588a6f 100644 --- a/src/parser.ts +++ b/src/parser.ts @@ -39,6 +39,10 @@ export interface ToolCallDetail { toolInput: Record; toolResult?: unknown; isError: boolean; + /** ISO timestamp of the assistant message that issued the tool_use (span start). */ + timestamp?: string; + /** ISO timestamp of the tool_result message (span end). */ + resultTimestamp?: string; } export interface Turn { @@ -123,6 +127,8 @@ interface AssistantLine { interface ToolResultEntry { result: unknown; isError: boolean; + /** ISO timestamp of the user message carrying the result (tool span end). */ + timestamp?: string; } function buildSession(lines: unknown[]): ParsedSession { @@ -157,6 +163,7 @@ function buildSession(lines: unknown[]): ParsedSession { toolResults.set(block['tool_use_id'] as string, { result: block['content'], isError: block['is_error'] === true, + timestamp, }); } } @@ -253,6 +260,8 @@ function buildTurn(assistantLines: AssistantLine[], toolResults: Map) ?? {}, toolResult: result?.result, isError: result?.isError ?? false, + timestamp: call.timestamp, + resultTimestamp: result?.timestamp, }); } } diff --git a/tests/nest-test-tree.test.ts b/tests/nest-test-tree.test.ts index 4dffb9c..53ccf01 100644 --- a/tests/nest-test-tree.test.ts +++ b/tests/nest-test-tree.test.ts @@ -155,6 +155,21 @@ test('nest-test tree — A9: child spans carry their owning agent (the field the } }); +test('nest-test tree — A10: tool spans carry real, ordered timestamps (not collapsed to build time)', () => { + const spans = build(); + const probe = invokeAgents(spans).find(s => agentName(s) === 'nest-probe')!; + const bashes = childrenOf(spans, id(probe)).filter(s => op(s) === OP.EXECUTE_TOOL && tool(s) === 'Bash'); + const startMs = (s: ReadableSpan) => s.startTime[0] * 1000 + s.startTime[1] / 1e6; + const args = (s: ReadableSpan) => String(s.attributes[ATTR.TOOL_CALL_ARGUMENTS] ?? ''); + const t1 = bashes.find(s => args(s).includes('turn 1 step 3'))!; + const t2 = bashes.find(s => args(s).includes('turn 2 step 1'))!; + assert.ok(t1 && t2, 'found turn-1 and turn-2 Bash spans'); + assert.ok(startMs(t1) < startMs(t2), 'turn-1-done Bash starts before turn-2 Bash (real execution order)'); + // Guard against the build-time-collapse bug: all tool spans must not share one timestamp. + const distinct = new Set(bashes.map(startMs)); + assert.ok(distinct.size > 1, 'tool spans have distinct real timestamps, not one build-time instant'); +}); + test('nest-test tree — A8: no orphans (every span parents to a span in the trace)', () => { const spans = build(); const ids = new Set(spans.map(id)); From 79b86ea32014bb4e37d886d5906936b813a2b569 Mon Sep 17 00:00:00 2001 From: Tito Citrin Date: Mon, 15 Jun 2026 14:39:05 -0400 Subject: [PATCH 11/11] fix(trace): give invoke_agent spans real time envelopes (not build-time now()) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Sub-agent invoke_agent spans were created via startInvokeAgentSpan with no startTime and ended with bare .end(), so buildTrace stamped them with build-time now() at SessionEnd. A teammate that ran for ~52s at 17:55 showed its invoke_agent wrapper at 18:09 (the build moment) — a 1ms span ~14 minutes AFTER its own children, which all carry real transcript times. The wrapper fell entirely outside its children's time range. Compute each subagent's real [start, end] envelope from its transcript line timestamps (transcriptBounds) and stamp it: startTime at creation, real end when the span is finally closed (tracked per-span in an invokeEnd map; extended across re-spawn merges). This makes every invoke_agent span wrap its children in real time. Per the "use the real timestamp, never fabricate" principle we deliberately do NOT stretch the coordinator turn root to cover async teammates that outlive it — its real end stays its real end. New A11 asserts every invoke_agent span starts at/before its first child and ends at/after its last (real-time envelope, no build-time now()). 80/80 green. Verified live: re-running the fixed build on a real /nest-test transcript, the nest-probe wrapper now spans its true 52s window. Daemon unaffected (its spans are created live at real event time). Co-Authored-By: Claude Opus 4.8 (1M context) --- src/buildTrace.ts | 49 ++++++++++++++++++++++++++++++------ tests/nest-test-tree.test.ts | 16 ++++++++++++ 2 files changed, 58 insertions(+), 7 deletions(-) diff --git a/src/buildTrace.ts b/src/buildTrace.ts index c8d11e4..30a7c7a 100644 --- a/src/buildTrace.ts +++ b/src/buildTrace.ts @@ -140,6 +140,25 @@ function listSubagents(transcriptPath: string): SubagentEntry[] { return out; } +/** Real [start, end] envelope of a transcript, from its line timestamps — so an + * invoke_agent span wraps its children in real time instead of build-time now(). */ +function transcriptBounds(transcriptPath: string): { start?: Date; end?: Date } { + let text: string; + try { text = fs.readFileSync(transcriptPath, 'utf8'); } catch { return {}; } + let min: number | undefined, max: number | undefined; + for (const line of text.split('\n')) { + if (!line.trim()) continue; + let ts: unknown; + try { ts = (JSON.parse(line) as { timestamp?: unknown }).timestamp; } catch { continue; } + if (typeof ts !== 'string') continue; + const t = Date.parse(ts); + if (Number.isNaN(t)) continue; + if (min === undefined || t < min) min = t; + if (max === undefined || t > max) max = t; + } + return { start: min !== undefined ? new Date(min) : undefined, end: max !== undefined ? new Date(max) : undefined }; +} + /** gen_ai.agent.id for a teammate, read from its `agent-.jsonl` filename. */ function agentIdFromPath(transcriptPath: string): string { return path.basename(transcriptPath).replace(/^agent-/, '').replace(/\.jsonl$/, ''); @@ -200,6 +219,9 @@ export function buildTrace(tracer: Tracer, transcriptPath: string, opts: BuildTr // teammates attach (and set attributes) on the existing span for their type, // so it must stay open until all leftovers are processed. const openInvokes: Span[] = []; + // Real end time per invoke_agent span (from its transcript), applied when the + // span is finally ended — without it the span would end at build-time now(). + const invokeEnd = new Map(); let turnNumber = 0; let lastTurnSpan: Span | undefined; @@ -238,7 +260,7 @@ export function buildTrace(tracer: Tracer, transcriptPath: string, opts: BuildTr let toolCount = 0; for (const tc of turn.toolCalls()) { toolCount += 1; - emitToolCall(tracer, turnSpan, conversationId, tc, pool, lastInvokeByType, openInvokes, opts, coordOwner); + emitToolCall(tracer, turnSpan, conversationId, tc, pool, lastInvokeByType, openInvokes, opts, coordOwner, invokeEnd); } const finishReasons = calls.map(c => c.finishReason).filter((r): r is string => !!r); @@ -258,10 +280,11 @@ export function buildTrace(tracer: Tracer, transcriptPath: string, opts: BuildTr // Leftover pass: subagent transcripts not claimed by a spawning Agent call — // agent-teams re-spawns (extra same-type transcripts) and orphan teammates. - emitLeftoverSubagents(tracer, conversationId, pool, lastInvokeByType, lastTurnSpan, openInvokes, opts); + emitLeftoverSubagents(tracer, conversationId, pool, lastInvokeByType, lastTurnSpan, openInvokes, opts, invokeEnd); - // All invoke_agent spans are now fully populated — close them. - for (const s of openInvokes) s.end(); + // All invoke_agent spans are now fully populated — close them at their real + // transcript end time (falls back to now() only if the transcript had none). + for (const s of openInvokes) s.end(invokeEnd.get(s)); return turnNumber; } @@ -281,14 +304,19 @@ function emitLeftoverSubagents( fallbackParent: Span | undefined, openInvokes: Span[], opts: BuildTraceOptions, + invokeEnd: Map, ): void { for (const e of pool) { if (e.consumed) continue; e.consumed = true; const owner = { agentName: e.agentType, agentId: agentIdFromPath(e.transcriptPath) }; + const bounds = transcriptBounds(e.transcriptPath); const existing = lastInvokeByType.get(e.agentType); if (existing) { // existing is still open (ended only after this pass) — safe to append. + // Extend its end to cover this re-spawn's real time too. + const cur = invokeEnd.get(existing); + if (bounds.end && (!cur || bounds.end > cur)) invokeEnd.set(existing, bounds.end); emitAgentSubtree(tracer, existing, conversationId, e.transcriptPath, opts, owner); continue; } @@ -298,7 +326,9 @@ function emitLeftoverSubagents( conversationId, pluginVersion: opts.pluginVersion, agentId: owner.agentId, + startedAt: bounds.start, }); + invokeEnd.set(invokeSpan, bounds.end); emitAgentSubtree(tracer, invokeSpan, conversationId, e.transcriptPath, opts, owner); lastInvokeByType.set(e.agentType, invokeSpan); openInvokes.push(invokeSpan); // ended by the caller after the full pass @@ -321,6 +351,7 @@ function emitToolCall( openInvokes: Span[], opts: BuildTraceOptions, owner: { agentName?: string; agentId?: string }, + invokeEnd: Map, ): void { if (tc.toolName === 'Agent') { // Correlate to a transcript. Order: exact toolUseId match (plain Agent @@ -341,6 +372,7 @@ function emitToolCall( // gen_ai.agent.id — the subagent's id, read from its transcript filename // (agent-.jsonl). Empty otherwise (the daemon stamped it at runtime). const agentId = entry ? agentIdFromPath(entry.transcriptPath) : undefined; + const bounds = entry ? transcriptBounds(entry.transcriptPath) : {}; const promptText = tc.toolInput['prompt']; const invokeSpan = startInvokeAgentSpan(tracer, parentSpan, { agentType, @@ -350,7 +382,9 @@ function emitToolCall( spawningToolCallId: tc.toolUseId, agentId, displayName: toolDisplayName('Agent', tc.toolInput), + startedAt: bounds.start, }); + invokeEnd.set(invokeSpan, bounds.end); lastInvokeByType.set(agentType, invokeSpan); if (entry) { emitAgentSubtree(tracer, invokeSpan, conversationId, entry.transcriptPath, opts, { agentName: agentType, agentId }); @@ -406,19 +440,20 @@ function emitAgentSubtree( const nested = listSubagents(agentTranscriptPath); const nestedLastInvoke = new Map(); const nestedOpen: Span[] = []; + const nestedInvokeEnd = new Map(); let model: string | undefined; let usage: UsageSummary = { input_tokens: 0, output_tokens: 0 }; for (const turn of parsed.turns) { emitChatSpansFromAssistantCalls(tracer, invokeSpan, conversationId, turn.assistantCalls(), owner); for (const tc of turn.toolCalls()) { - emitToolCall(tracer, invokeSpan, conversationId, tc, nested, nestedLastInvoke, nestedOpen, opts, owner); + emitToolCall(tracer, invokeSpan, conversationId, tc, nested, nestedLastInvoke, nestedOpen, opts, owner, nestedInvokeEnd); } model = turn.primaryModel() ?? model; usage = addUsage(usage, turn.totalUsage()); } - emitLeftoverSubagents(tracer, conversationId, nested, nestedLastInvoke, invokeSpan, nestedOpen, opts); - for (const s of nestedOpen) s.end(); + emitLeftoverSubagents(tracer, conversationId, nested, nestedLastInvoke, invokeSpan, nestedOpen, opts, nestedInvokeEnd); + for (const s of nestedOpen) s.end(nestedInvokeEnd.get(s)); if (model) invokeSpan.setAttribute(ATTR.RESPONSE_MODEL, model); // Aggregate the subagent's token usage onto its invoke_agent span (so the // sub-agent rolls up tokens too, not just the coordinator turn). diff --git a/tests/nest-test-tree.test.ts b/tests/nest-test-tree.test.ts index 53ccf01..741024d 100644 --- a/tests/nest-test-tree.test.ts +++ b/tests/nest-test-tree.test.ts @@ -170,6 +170,22 @@ test('nest-test tree — A10: tool spans carry real, ordered timestamps (not col assert.ok(distinct.size > 1, 'tool spans have distinct real timestamps, not one build-time instant'); }); +test('nest-test tree — A11: invoke_agent spans use real times enveloping their own children (no build-time now())', () => { + const spans = build(); + const startMs = (s: ReadableSpan) => s.startTime[0] * 1000 + s.startTime[1] / 1e6; + const endMs = (s: ReadableSpan) => s.endTime[0] * 1000 + s.endTime[1] / 1e6; + for (const inv of invokeAgents(spans)) { + const kids = childrenOf(spans, id(inv)).filter(s => op(s) === OP.EXECUTE_TOOL || op(s) === OP.CHAT); + if (!kids.length) continue; + const childMin = Math.min(...kids.map(startMs)); + const childMax = Math.max(...kids.map(endMs)); + assert.ok(startMs(inv) <= childMin + 1, + `${agentName(inv)} invoke_agent starts (${startMs(inv)}) at/before its first child (${childMin}) — not stamped at build time`); + assert.ok(endMs(inv) >= childMax - 1, + `${agentName(inv)} invoke_agent ends (${endMs(inv)}) at/after its last child (${childMax})`); + } +}); + test('nest-test tree — A8: no orphans (every span parents to a span in the trace)', () => { const spans = build(); const ids = new Set(spans.map(id));