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Conversation History
Summary: Sam has generated 94 active sessions across approximately 16 days of operation (bootstrapped ~March 3, 2026), split between cron-triggered automation (GitHub watching, heartbeats) and interactive Slack conversations covering funnel analytics, Braze auditing, creative production, and integration setup. Two session types dominate: the
funnel-github-watchcron (creating a new session per 30-min run) and manual conversations with John, Luke, Sean, Elias, and Thomas.
Session Overview
| Metric | Value |
|---|---|
| Active sessions | 94 .jsonl files |
| Deleted sessions | 45 .jsonl.deleted* files |
| Total ever created | ~139 |
| Date range observed | Mar 8 – Mar 18, 2026 (~11 days sampled) |
| Bootstrapped | ~Mar 3, 2026 |
| Topic-forked sessions | 2 (-topic- in filename) |
| Session protocol version | 3 |
| Home directory on host | /home/ubuntu/.openclaw/workspace |
File Size Distribution
Sessions span six orders of magnitude in size — a reliable signal of session type:
| Size Range | Count (est.) | Typical Content |
|---|---|---|
| < 2 KB | ~6 | Single delivery-mirror message (Slack reply snippet) |
| 2 – 10 KB | ~25 | Short cron check (no commits / quick action) |
| 10 – 50 KB | ~15 | Focused interactive session or short heartbeat |
| 50 – 150 KB | ~30 | Multi-day interactive session or compacted heartbeat |
| 150 KB – 3 MB | ~15 | Long heartbeat session with full funnel reporting |
| > 3 MB | ~3 | Mega-sessions: heartbeat running for hours uncapped |
Notable outliers:
452f1487— 10 MB, 592+ message turns. Heartbeat session started Mar 17 at 4:14 AM UTC, ran uncapped. This is the largest single session by far and illustrates the absence of session-length capping.6218e9ed-topic-…— 130 KB, a topic fork containing ~48 back-to-back GitHub cron checks firing at 30-min intervals for most of Mar 17.04a1d39c— 6.7 MB, another very long session.
Topic Categories
Estimated topic distribution across all 94 active sessions, based on sampling 17 sessions across the full size range:
| Category | Est. Count | Est. % | Representative Tasks |
|---|---|---|---|
| GitHub monitoring (cron) | ~38 | ~40% | Poll 4 repos at 30-min intervals, compare SHAs, DM John on new commits |
| Heartbeat / HEARTBEAT.md | ~12 | ~13% | Read HEARTBEAT.md, run funnel CVR checks, SMS disclaimer test, order bump recap |
| Funnel / PostHog analytics | ~12 | ~13% | SEMA→MICRO reroute analysis, ATC→Purchase CVR tracking, 7-day funnels, path-level breakdowns |
| Braze / email operations | ~10 | ~11% | Canvas audit (86 canvases), ghost user investigation, entries vs. sends, duplicate profile root-cause |
| Creative work | ~8 | ~9% | 175 micro-bucket hooks CSV, Shotstack comparison ads, Higgsfield AI video, brand spec alignment |
| Reporting / data analysis | ~5 | ~5% | Multi-source cross-referencing (PostHog + Braze + Looker), purchase event double-counting analysis |
| Setup / configuration | ~5 | ~5% | Zendesk API credentials, GitHub PAT rotation, HEARTBEAT.md edits, Slack channel setup |
| Mixed / multi-topic | ~4 | ~4% | Long sessions spanning Braze + funnel + video + GitHub in one thread |
Uncertainty note: Category counts are estimates from a 17-session sample. The GitHub cron count in particular is sensitive to how many days the 30-min schedule ran before being reduced to 3×/day on Mar 17.
Sampled Sessions
Seventeen sessions were read in detail (first 80 lines each). Listed from smallest to largest.
Session 1 — f516c486 · 797 bytes · 2 lines · Mar 13, 2026
| Field | Value |
|---|---|
| Date | 2026-03-13 17:18 UTC |
| Type | Interactive (Slack delivery-mirror reply) |
| Participants | Sam → Elias |
| Integrations | None active; listing current connections |
Topic: Elias asked Sam if it has git repo access. Sam replied it does not yet — listing active integrations: Slack, PostHog, Braze, Meta Ads, NorthBeam, Sanity CMS, Zendesk. Asked what Elias had in mind.
Notable: This is a "stub" session — a single outbound message with zero tool calls. Likely a Slack DM reply captured mid-conversation. The delivery-mirror model is used (zero token cost, zero caching).
Session 2 — 5ccb9e07 · 938 bytes · 2 lines · Mar 10, 2026
| Field | Value |
|---|---|
| Date | 2026-03-10 22:01 UTC |
| Type | Interactive (Slack delivery-mirror reply) |
| Participants | Sam → Thomas |
| Integrations | Zendesk |
Topic: Confirming Zendesk API access is working. Credentials verified: user ai-svc@fh.co, Role: Agent, Org ID: 23486518182291, Status: Active. Sam thanks the team for fast setup and plans to start pulling ticket data.
Notable: Zendesk integration was set up via API token rather than browser (avoiding 2FA). This is one of the shortest interactive sessions — purely a confirmation acknowledgement.
Session 3 — 309164b2 · 1,587 bytes · 3 lines · Mar 8, 2026
| Field | Value |
|---|---|
| Date | 2026-03-08 21:38 UTC |
| Type | Interactive |
| Participants | Sam → Luke |
| Integrations | Meta Ads, Higgsfield, ElevenLabs, Midjourney |
Topic: Creative tooling alignment. Luke provided alignment on using Higgsfield, ElevenLabs, and Midjourney for ad production. Sam confirmed it can use all three, proposed Monday delivery cadence for the Micro-Bucket Map + hooks, and noted it cross-references Meta performance data with creative types using Sean's CID tool.
Notable: This is near the beginning of Sam's operation (day ~5). Sam was negotiating access to Higgsfield and ElevenLabs logins. CID tool mentioned as the source for spritesheet/transcript analysis.
Session 4 — 740c4914 · 1,664 bytes · 4 lines · Mar 9, 2026
| Field | Value |
|---|---|
| Date | 2026-03-09 21:30 UTC |
| Type | Interactive |
| Participants | Sam → Sean |
| Integrations | Sanity CMS (attempted), Google Docs (blocked) |
Topic: Sean shared links to an OpenClaw page and a compliance framework doc. Sam attempted to access both but hit authentication walls — the OpenClaw page required a password, and Google Docs required browser login. Sam asked Sean to export or paste content instead.
Notable: Sam's inability to authenticate with Google Docs and password-protected pages came up very early. This pattern (Sam hitting auth walls on external tools) recurs across sessions.
Session 5 — 6cca7766 · 3,042 bytes · 5 lines · Mar 12, 2026
| Field | Value |
|---|---|
| Date | 2026-03-11–12 UTC |
| Type | Interactive |
| Participants | Sam → Luke |
| Integrations | Shotstack |
Topic: Building a video comparison ad. Sam locked in brand specs (colors #39207C, #5F6BFF, #FFD747, fonts Inter + Lora) and produced a 10-second Shotstack video for the "$1,102 Difference" concept (Branded Wegovy $1,300 vs. FuturHealth $198). Awaiting b-roll clip URLs from Luke since the B-Roll Manager is JS-rendered and can't be scraped.
Notable: First concrete evidence of Shotstack video production. Sam posted the rendered video URL to the session. The b-roll access bottleneck (JS-rendered site, no direct URLs) is a recurring constraint.
Session 6 — 00a9b608 · 3,837 bytes · 4 lines · Mar 13, 2026
| Field | Value |
|---|---|
| Date | 2026-03-13 17:35–17:48 UTC |
| Type | Interactive |
| Participants | Sam → John |
| Integrations | PostHog |
Topic: SEMA→MICRO reroute tracking. Sam reported real-time data: Mar 12 ATC→Purchase CVR 25.7%, Mar 13 morning only 15 ATC so far (2 purchases). Full funnel breakdown: Landing→Purchase at 0.92%. Big picture: landing page bounce (79%) and Lead→ATC drop (33%) identified as the two biggest levers toward 1.5% CVR target.
Notable: John asked Sam to put together action plans for the two biggest levers. Sam articulated the funnel math precisely: getting 5% more quiz starts = ~28 more purchases/day, improving Lead→ATC from 33%→40% = ~40 more purchases/day. This session illustrates the "push 1.5% as North Star" mandate.
Session 7 — 58903969 · 7,058 bytes · 6 lines · Mar 16, 2026
| Field | Value |
|---|---|
| Date | 2026-03-16 00:27–15:01 UTC |
| Type | Interactive |
| Participants | Sam → Luke |
| Integrations | Braze, PostHog |
Topic: Braze canvas audit dispute and resolution. Luke challenged Sam's initial finding that "71% of purchasers get no welcome" — Sam clarified the methodology and ran a corrected spot-check of 50 new March 15 leads from PostHog vs. Braze. Key corrected finding: 63% of new leads with email received NO prospect emails. The "short hex ID" user population (legacy platform) confirmed as 100% broken. Sam flagged: ~1,954 new Braze profiles/day, ~73% have email, but majority of legacy-platform users receive nothing.
Notable: This session shows Sam self-correcting its own prior analysis when challenged. The "short hex ID vs. Firebase UID" data quality problem is documented clearly. Output: braze_leads_50_march15.csv file.
Session 8 — 9ec82087 · 9,764 bytes · 5 lines · Mar 13, 2026
| Field | Value |
|---|---|
| Date | 2026-03-13 19:51–22:50 UTC |
| Type | Interactive |
| Participants | Sam → John |
| Integrations | PostHog |
Topic: Deep CVR anomaly analysis. John provided a CSV, Sam explained the +14pp checkout→purchase jump from pre-Mar 3 (21.9%) to post-Mar 3 (35.9%). Ranked hypotheses: (1) order bump + checkout UX, (2) upsell page restoration acting as commitment device, (3) traffic quality shift, (4) payment processing fix, (5) Braze cart abandon flows. Sam then verified that upsell purchases fire two conv_purchase events per session — correcting the apparent +14pp to a real +6pp lift after accounting for double-counting.
Notable: This is pure data analysis under John's questioning. John caught the double-counting issue by asking "is the upsell firing its own event?" — a great example of the collaborative adversarial analysis pattern.
Session 9 — 12f133a6 · 9,977 bytes · 11 lines · Mar 18, 2026
| Field | Value |
|---|---|
| Date | 2026-03-18 01:56–02:26 UTC |
| Type | Cron (automated) |
| Participants | Cron trigger → Sam |
| Integrations | GitHub |
| Trigger | cron:22b4d31f funnel-github-watch |
Topic: Automated GitHub commit check across funnel, funnel-cms, landing-pages, checkout. Sam read memory/github-watch-state.json, fetched latest commits via GitHub API (PAT in env), compared SHAs. All four repos matched stored state — no new commits. Session ended in ~6 seconds.
Notable: This is the canonical example of the funnel-github-watch cron session. Each invocation of this cron creates a new JSONL session file. The cron was running at 30-min intervals at this time, which means ~48 sessions per day from this trigger alone. The cron ID 22b4d31f-04ec-475e-8614-6acc60c85994 appears in all funnel-github-watch sessions.
Session 10 — 44480c8c · 16,151 bytes · 8 lines · Mar 13, 2026
| Field | Value |
|---|---|
| Date | 2026-03-13 12:54–19:21 UTC |
| Type | Interactive |
| Participants | Sam → Luke |
| Integrations | Braze, PostHog |
Topic: Braze canvas receipt audit for 96 purchasers. Sam checked all 96 users against Braze canvas history. Top-level: 94/96 (97.9%) entered at least one target canvas. Then dug into 2 who received nothing — both had duplicate Braze profiles (separate external_id for billing vs. canvas receipt). Entries-vs-sends audit revealed: Cart Abandon only 26% send rate (53 entered, 14 got messages), AF Redemption 60%, Schedule Appointment 49%.
Notable: Sam identified the "duplicate Braze profiles" root cause systematically. Also flagged that Charles Resha received both Async Eligible AND Async Ineligible welcome canvases — a configuration error. The entries-vs-sends gap (entering a canvas ≠ receiving a message) emerged as a key finding.
Session 11 — bcbd739b · 46,414 bytes · 11 lines · Mar 10, 2026
| Field | Value |
|---|---|
| Date | 2026-03-10 17:11–18:04 UTC |
| Type | Interactive |
| Participants | Sam → Luke, John |
| Integrations | None (content generation) |
Topic: Full 175-hook Micro-Bucket Map export. Sam posted 35 buckets × 5 hooks each as a 5-part CSV in Slack (Tier 1 = Weeks 1–2, Tier 2 = Week 3, Tier 3 = Week 3+, Bonus = Test). Each row: Bucket #, Name, Sub-Angle Code, Hook Copy, Target Demo, Format, Priority Tier, Concept Formula, Deploy Week. Could not upload CSV to Slack directly (permissions), offered to post it inline instead.
Notable: This is the largest purely-creative session sampled. The full hook inventory spans audiences from "Women 45-65 / Metabolism Betrayal" to "Men 40-65 / Disease Preventer" to "Couples 35-60 / Couple That Gains Together." The $1,102 Difference hook (MBM-20) is flagged as Tier 3 — but later became the basis for a Shotstack comparison ad.
Session 12 — 1f601962-topic · 9,597 bytes · 10 lines · Mar 17, 2026 (topic fork)
| Field | Value |
|---|---|
| Date | 2026-03-17 04:21 UTC |
| Type | Interactive (topic fork of GitHub watch) |
| Parent session | 1f601962-d0d2-4d0f-92d6-46d5aa38d70f |
| Topic ID | 1773719837.863769 |
| Participants | John → Sam |
| Integrations | GitHub (config), Slack |
Topic: John asked Sam to reduce GitHub monitoring from every 30 minutes to 3×/day (10am, 2pm, 6pm PT). Sam updated HEARTBEAT.md inline — replacing the GitHub Funnel Monitor section to add "3x/day only" and "NOT every heartbeat." Confirmed the change immediately.
Notable: This is one of two topic-fork sessions. John was replying directly to a GitHub-check message in thread, which spawned this forked session. The fact that a simple config change triggered a topic fork suggests the Slack threading model routes certain replies to new sessions.
Session 13 — 6218e9ed-topic · 130,112 bytes · ~117K lines · Mar 13–17, 2026 (topic fork)
| Field | Value |
|---|---|
| Date | 2026-03-13 17:28 → Mar 17 ongoing |
| Type | Topic fork — long-running GitHub check stream |
| Parent session | 6218e9ed-d5f6-43d3-8c31-58cdf9366e9c |
| Topic ID | 1773422303.896209 |
| Participants | John → Sam (initial), then automated |
| Integrations | PostHog, GitHub |
Topic: Started as John asking "what is the current MICRO CVR?" on Mar 13. Sam fetched PostHog data. The conversation then evolved into a day-long topic thread where the funnel-github-watch cron sent repeated messages (30-min intervals throughout Mar 17), each reporting "no new commits" — all accumulating in the same topic fork session. By the time John asked to reduce frequency (in the 1f601962-topic fork), this session had grown to 130KB.
Notable: This session shows the "context accumulation" problem most clearly. The topic thread kept receiving cron messages and growing without bound. This is a primary driver of the mega-session sizes.
Session 14 — e3917927 · 111,489 bytes · 80+ lines · Mar 11–14, 2026
| Field | Value |
|---|---|
| Date | 2026-03-11 23:28 → Mar 14 20:29 UTC |
| Type | Interactive (multi-day, multi-topic) |
| Participants | Sam → John, Luke, Sean |
| Integrations | Braze, PostHog, Shotstack, Higgsfield, GitHub |
Topic: One of the most comprehensive sessions sampled. Topics covered over ~3 days:
- Braze deep dive — zero UTM data in Braze, post-purchase canvases at 0 entries (retention leak)
- Shotstack video production — "$1,102 Difference" comparison ad (V1 14-sec, 9:16)
- Higgsfield AI video — end-to-end AI video pipeline test (image → animation)
- Funnel CVR analysis — path-by-path breakdown (WEGO-PILL 72.9%, SEMA 2.6%, MICRO 10.4%, NUTRITION 48.1%)
- SEMA→MICRO reroute impact — CVR lifted from 0.68% → 0.83% (+22% relative)
- Braze data gap audit — 25% of purchasers invisible to Braze (all short-ID legacy platform users)
- GitHub PAT rotation issue — all PATs expired/revoked during monitoring checks
Notable: This session shows the overload problem in action — Sam switching between video generation, Braze auditing, funnel analysis, and GitHub maintenance all within the same session context. By Mar 14, the session was discussing Apple Pay tests, express checkout CVR tradeoffs, and Looker credential setup.
Session 15 — cb6a378b · 150,308 bytes · Mar 18, 2026
| Field | Value |
|---|---|
| Date | 2026-03-18 19:56 UTC |
| Type | Cron (automated) |
| Participants | Cron → Sam |
| Integrations | GitHub |
| Trigger | cron:22b4d31f funnel-github-watch |
Topic: GitHub commit check at 7:56 PM UTC on Mar 18. Same cron as session 9, but resulted in a 150KB file (vs 10KB for session 9). The larger size likely indicates Sam found new commits in one or more repos and executed additional steps — reading files, writing to funnel-changes.md, sending a Slack DM to John.
Notable: The size contrast between same-cron sessions (9KB vs 150KB) is entirely determined by whether new commits were found. When a commit triggers action, Sam reads the diff, writes to memory, and posts to Slack — inflating the session size significantly.
Session 16 — 452f1487 · 10 MB · 592+ lines · Mar 17, 2026
| Field | Value |
|---|---|
| Date | 2026-03-17 04:14 UTC → ongoing |
| Type | Heartbeat (automated, HEARTBEAT.md) |
| Participants | Heartbeat trigger → Sam |
| Integrations | PostHog, Braze, GitHub, Slack |
Topic: Comprehensive heartbeat session triggered by HEARTBEAT.md protocol. Sam reads HEARTBEAT.md and executes all configured checks: sam-chat unread messages, funnel-squad messages, overall CVR report (landing→purchase), order bump test recap, SMS disclaimer test, SEMA→MICRO reroute tracking, and GitHub commit watch. At 592+ turns, this is an uncapped heartbeat session that ran for a very long time.
Notable: This is the critical overload evidence. A single heartbeat invocation created a 10MB session. With no session-length cap configured, the heartbeat context grows indefinitely, consuming increasing token budget per run. The HEARTBEAT_OK reply pattern (when nothing needs attention) keeps sessions short; the problem sessions are those where Sam takes action and the context snowballs.
Session 17 — 0fb1b9c9 · 1.3 MB · 252+ lines · Mar 13, 2026
| Field | Value |
|---|---|
| Date | 2026-03-13 04:18 UTC |
| Type | Heartbeat (automated, HEARTBEAT.md) |
| Participants | Heartbeat trigger → Sam |
| Integrations | PostHog, Braze, Slack, GitHub |
Topic: Heartbeat session from early Mar 13 (4:18 AM UTC). Sam reads HEARTBEAT.md and executes checks. At 252 turns, this is also a long heartbeat session but smaller than the Mar 17 mega-session, suggesting either fewer tasks were triggered or this heartbeat was shorter-lived.
Notable: The 1.3MB size on Mar 13 vs 10MB on Mar 17 suggests heartbeat sessions grew over time as HEARTBEAT.md instructions accumulated more tasks (order bump tracking, SMS disclaimer test, SEMA→MICRO reroute were all added after Mar 11).
Patterns Observed
1. Two Distinct Session Populations
Sessions fall into two clearly distinct populations with different characteristics:
Automated sessions (cron + heartbeat):
- Triggered by
cron:22b4d31f-04ec-475e-8614-6acc60c85994 funnel-github-watchorHEARTBEAT.mdcheck - Very short (< 10KB) when nothing needs attention (
HEARTBEAT_OKor "no new commits") - Very large (10KB–10MB) when action is triggered
- Use Claude Opus (provider
myclaw) vs the chat-modedelivery-mirrormodel
Interactive sessions (human-initiated):
- Start from a Slack DM or channel message from John, Luke, Sean, Elias, or Thomas
- Size proportional to task complexity and conversation length
- Use
delivery-mirrormodel for Slack replies (zero token cost) until tool use triggers Opus
2. The 30-Minute Cron Loop Problem
Between approximately Mar 16 and Mar 17, the funnel-github-watch cron ran at 30-minute intervals. At that cadence:
- 48 sessions/day created by this single cron alone
- Most sessions are 9–10KB ("no new commits, done")
- A session with a commit detected blooms to 150KB+
- The topic-fork
6218e9edaccumulated 130KB from repeated cron messages accumulating in a single thread
John caught this on Mar 17 and asked Sam to reduce to 3×/day. Sam updated HEARTBEAT.md in the 1f601962-topic fork session.
3. Multi-Day Sessions Spanning Many Topics
Several interactive sessions span 2–4 calendar days with subjects shifting mid-thread (e.g., e3917927 covers Braze + Shotstack + Higgsfield + CVR + GitHub PAT in a single session). This is a consequence of John and the team continuing an existing Slack thread rather than starting new conversations — OpenClaw appends to the existing session rather than creating a new one.
4. "Ghost User" Data Quality Discovery
Across multiple Braze sessions (Mar 13–16), Sam identified and documented a systemic data quality problem: users with short hex IDs (legacy platform) are created in Braze with only a conv_lead event and nothing else — no checkout, no purchase, no canvas entries. This affects ~25% of purchasers (confirmed via 44-user sample). This cross-session investigation went from:
- Mar 15: initial 15-user sample (3/15 broken)
- Mar 15: 44-user sample confirming 25% failure, 100% correlation with short-ID users
- Mar 16: cross-check with Luke's Looker methodology confirming both populations are valid but different
5. PostHog as Ground Truth
PostHog appears consistently as the most reliable data source. When Braze and PostHog disagree, Sam defaults to PostHog as ground truth. Braze is used for canvas/messaging data; PostHog for funnel CVR and purchase events. Looker access was being set up as of Mar 16 but not yet fully operational.
6. GitHub PAT Fragility
The GITHUB_PAT_TAGIATELLE token expired or was revoked at least once (visible in e3917927 on Mar 17 when all PATs returned 401 or 404). Sam has multiple backup PAT variable names (GITHUB_PAT_TAGIATELLE, plus at least 2 others) with varying access scopes. A new PAT (github_pat_11BI6F3JA0x...) was later added and used in the cron sessions.
7. Recurring Participants
| Name | Role | Session context |
|---|---|---|
| John Levan | President | Primary interlocutor; DMs and sam-chat; sets North Stars (1.5% CVR target) |
| Luke | (Marketing lead?) | Oversees creative + Braze; reviews Sam's hook work and Braze reports |
| Sean | Creative director | Reviews video ads, provides b-roll direction, compliance framework |
| Elias | Analytics / Meta ads | Asked about GitHub access, deep in PostHog and Meta data |
| Thomas | Engineering/ops | Provided Zendesk API credentials |
| Bridgette | Optimization PM | Owns funnel routing changes (SEMA→MICRO reroute) |
| Christian | Engineering | Implements routing changes, checkout |
| Mo Sharif / venkata-fh | Engineers | Key GitHub committers: funnel-cms routing, landing pages |
8. Sam's Tone and Style
From sampled conversations, Sam operates in a direct, quantitative mode:
- Leads with numbers, uses tables and bullet structures in Slack
- Proactively flags methodology limitations ("I was looking for the wrong signal")
- When asked a yes/no question, gives context-rich answers but always anchors to the number first
- Uses emoji sparingly but naturally in casual check-ins (🔥, 📋, 🎬, ✅, 🚨)
- Does not use formal greetings or sign-offs; conversational brevity in heartbeat replies
Context and Memory Notes
Session Length and Growth
The three largest sessions (452f1487 at 10MB, d73635a1 at 2.5MB, b1055c7a at 2.6MB) all appear to be heartbeat or cron sessions that ran without a session-length cap. This creates escalating per-run token costs as the context window grows with each iteration.
Compaction Cluster
A cluster of ~15 sessions all measure between 118,397 and 118,650 bytes — suspiciously similar. This likely reflects OpenClaw's context compaction mechanism triggering at a fixed threshold (approximately 118KB or a corresponding token count). Sessions in this range have had their context compacted and summarized rather than holding the full message history. This is a healthy sign that compaction is working, but it also means session content older than the compaction boundary is not accessible without the compacted summary.
Deleted Sessions (45 total)
The 45 deleted sessions all carry deletion timestamps: 2026-03-18T01:30:38.827Z through 2026-03-18T21:31:03.152Z — all deleted on March 18, 2026. This appears to be a bulk cleanup operation (likely manual or via an automated cleanup script). It's unknown whether the deletions preserve the .jsonl data in a backup location or are permanent.
Model Usage
| Provider | Model | Context |
|---|---|---|
openai-responses | delivery-mirror | Used for Slack message delivery — zero token cost, zero caching |
myclaw | claude-opus-4.6 | Used for all tool-use sessions (heartbeats, crons, complex analysis) |
All tool-using sessions (model_change + thinking_level_change events) use claude-opus-4.6 via the anthropic-messages API (provider myclaw). The delivery-mirror sessions appear to be a pass-through model that records Slack message outputs without incurring LLM inference cost.
Token Costs
Token cost data is present in session files but zeroed out (all total: 0) for both delivery-mirror and myclaw sessions. Either billing is tracked elsewhere or cost tracking is not yet configured in this deployment.
Page generated: 2026-03-19. Sampled 17 sessions (797 bytes – 10 MB) across all size tiers. Category counts are estimates; session count is exact at 94 active files.