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Import HiveMind chats into Weave Agents - #8

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Import HiveMind chats into Weave Agents#8
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@ash0ts

@ash0ts ash0ts commented Aug 5, 2026

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Why I started this

I wanted a practical way to review the last few weeks of my HiveMind chats in Weave Agents without manually opening sessions one by one. The important requirements were that the import be lossless after redaction, resumable, safe to rerun, and easy to exercise on one real chat before touching a large backlog.

What I tried first, and why it did not work

My first implementation mapped each HiveMind turn to weave.log_turn and sent inferred LLM/tool spans through the existing OTLP path. That works for ordinary telemetry, but it was not a sound historical-backfill boundary for these chats. Large turns could time out or fail partway through export, and the existing path does not give the importer a transactional, durable idempotency guarantee for one historical root plus all of its children. After an ambiguous response, I could not prove whether retrying would fill a gap or create a duplicate.

I stopped using that path for the backfill rather than repairing traces manually or treating partial visibility as success. The future canonical import still depends on a real server-side atomic historical-turn API.

What this draft does now

This draft adds a separate, explicitly noncanonical review mirror in the private wandb/hivemind-chats-review project. It does not write to the project reserved for the future native-span import.

The importer processes one whole session revision at a time:

  • discover and deterministically select a bounded revision;
  • fetch, map, redact, serialize, and certify the complete transcript twice before sealing;
  • encode each complete redacted turn as canonical JSON;
  • split large manifests into immutable content-addressed objects;
  • publish and read back every object before emitting a root;
  • emit one small root-only Agents turn that links to the complete manifest;
  • poll for exactly one matching root; and
  • stop immediately on source drift, object mismatch, privacy failure, or root ambiguity.

This is intentionally an operational review mirror, not a claim of server-side atomicity. Object retries are safe because they are digest-addressed. Root submission is the ambiguity boundary: once an attempt crosses it, the importer never automatically retries. Exact reconciliation must resolve it before later writes.

Full messages, system instructions, reasoning, tools, usage, timestamps, warnings, and session linkage remain in the attached manifest. The Agents root contains bounded redacted previews and searchable linkage attributes. This path deliberately does not fake native LLM/tool child spans.

What the live rollout taught me

There were three different failure modes, and they needed different handling.

First, HiveMind's ATIF export can change while the session summary and last_activity_at remain unchanged. One 12-turn, roughly 7.66 MB session certified successfully during preview, then produced different turn certificates during apply. The importer stopped before the first root. Two hosted absence sweeps and repeated source preparation proved there had been no remote write, so the attempt was retired as immutable zero-write evidence instead of being silently reopened.

Second, local preparation itself can be pathological. The next candidate consumed a CPU core for more than 61 minutes without sealing a plan, uploading content, or changing the journal. I interrupted it and verified the project was still clean. That showed byte and turn limits were not enough; preparation also needed a real wall-clock boundary.

Third, an arbitrary fixed number of whole-payload redaction passes was not a sound convergence proof. Presidio can reveal another match after an earlier replacement, and typed markers can be reinterpreted on a later pass. Redaction now converges independently per text leaf with marker shielding, digest-only cycle detection, strict progress, and a cumulative UTF-8 work budget, followed by an exact second structural verification pass. It fails closed if it cannot prove a fixed point.

Bounded preparation and fair retries

Every real review preview now prepares each session in a fresh read-only subprocess. The parent sends source metadata through a private bounded pipe. The worker receives no W&B/model credential, SQLite path, state mutation interface, or upload interface. Only validated source coordinates, digests, timestamps, sizes, an authoritative subagent boolean, and content-free canary counts return; temporary worker evidence is removed before plan hashing or SQLite.

The parent owns the monotonic deadline. On timeout it terminates and reaps the complete process group before recording the content-free failure code. A timeout, interrupt, worker crash, malformed or oversized response, inherited result pipe, orphaned descendant, or unknown exception can never submit a root. Only a still-running leader at the observed deadline can create preparation_timeout evidence.

The SQLite journal is now schema v13. It retains exact, immutable pre-seal failure evidence and schedules untouched revisions before retries. Retry ordering uses parsed UTC instants rather than lexical timestamp ordering. Revisions already owned by a live or completed plan are not counted as pending retries; zero-write retired/revalidated attempts remain eligible for a deterministic successor. A bad chat therefore cannot monopolize every invocation or turn --next-sessions 1 into an unbounded batch.

Canary and exact-session previews use the same subprocess boundary. Canary child/root classification comes from the authoritative detail export, not a potentially stale list summary. Parent-side invalid Unicode or oversized source metadata is handled as a candidate-local, content-free serialization failure; malformed worker evidence remains an unrecorded run-level failure.

Security cleanup

The importer never opens, sources, copies, parses, or prints a .env file. HiveMind authentication stays inside the installed HiveMind CLI. W&B authentication must already be in the calling process or in the supported project-scoped Keychain path.

Redaction happens before hashing, planning, staging, serialization, or upload. Reports use aliases and counts instead of titles, repository paths, source IDs, prompts, tool data, hashes, or trace IDs. SQLite stores only the private evidence needed for resumption and reconciliation. The review path is locked to the expected private hosted project and pinned Weave revision; it has no custom endpoint, proxy, legacy upload fallback, manual trace repair, or automatic retry of an uncertain root.

The temporary local credential launcher used for this rollout was deleted after the final live status check. No diagnostic helper remains in /private/tmp.

Current live checkpoint

The private review project now has 21 completed HiveMind conversations and 63 visible review turns. There are zero planned, publishing, submitting, uncertain, or conflicting turns.

After calibrating the hard preparation deadline, two additional whole root sessions certified and imported in isolated one-session plans. Each contained 10 turns. Both completed with all 20 expected turns visible, and an immediate replay of each completed plan emitted zero additional turns.

The exact trailing window is [2026-07-16T16:20:00Z, 2026-08-06T16:20:00Z). The latest scan found 44 eligible root-session revisions and reported 30 still unplanned after the final selected session. The three-week primary-session backfill is therefore still in progress, and subagent sessions have not been claimed complete. This draft does not overstate that status.

Validation

  • 733 passed, 1 deselected for the importer; the destructive/live test remains opt-in.
  • Ruff lint and format checks passed.
  • Python bytecode compilation and git diff --check passed.
  • The real worker executable was exercised end to end against a fake authenticated HiveMind CLI, with private sentinels absent from parent evidence.
  • Independent audits covered redaction convergence, worker protocol privacy, process-group cleanup, timeout classification, immutable successor attempts, exact logical-key admission, stale archive authority, hosted absence probes, and fresh-first retry ordering. The final scoped audit found no remaining P0/P1/P2 issue in the new worker/fairness boundary.

What is still missing

This review mirror is useful now, but it is not the final HiveMind-to-Weave representation. A canonical import still needs the upstream atomic historical-turn API and SDK support so one request can durably commit one historical turn and all native LLM/tool spans with compare-and-set idempotency, stable returned IDs, exact replay semantics, large authenticated text references, and atomic visibility.

Until that exists, this draft keeps the private review mirror separate, preserves complete redacted chats through verified objects, and avoids claiming that root-only review turns are equivalent to native historical Agents traces.

@socket-security

socket-security Bot commented Aug 5, 2026

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Review the following changes in direct dependencies. Learn more about Socket for GitHub.

Diff Package Supply Chain
Security
Vulnerability Quality Maintenance License
Addedspacy@​3.8.147410010010080
Addedpytest@​8.4.29099100100100
Addedpresidio-analyzer@​2.2.35799100100100100
Addedpytest-cov@​7.1.0100100100100100
Addedruff@​0.16.1100100100100100
Addedpresidio-anonymizer@​2.2.357100100100100100

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Review the following alerts detected in dependencies.

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Warn High
Obfuscated code: pypi pycparser is 90.0% likely obfuscated

Confidence: 0.90

Location: Package overview

From: tools/hivemind-weave/uv.lockpypi/pycparser@3.0

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Warn High
Obfuscated code: pypi pycparser is 90.0% likely obfuscated

Confidence: 0.90

Location: Package overview

From: tools/hivemind-weave/uv.lockpypi/pycparser@3.0

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Warn High
Obfuscated code: pypi pyreadline3 is 90.0% likely obfuscated

Confidence: 0.90

Location: Package overview

From: tools/hivemind-weave/uv.lockpypi/pyreadline3@3.5.6

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Warn High
Obfuscated code: pypi pyreadline3 is 90.0% likely obfuscated

Confidence: 0.90

Location: Package overview

From: tools/hivemind-weave/uv.lockpypi/pyreadline3@3.5.6

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Warn High
Obfuscated code: pypi spacy is 90.0% likely obfuscated

Confidence: 0.90

Location: Package overview

From: tools/hivemind-weave/pyproject.tomlpypi/spacy@3.8.14

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Suggestion: Packages should not obfuscate their code. Consider not using packages with obfuscated code.

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Warn High
Obfuscated code: pypi spacy is 90.0% likely obfuscated

Confidence: 0.90

Location: Package overview

From: tools/hivemind-weave/pyproject.tomlpypi/spacy@3.8.14

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Suggestion: Packages should not obfuscate their code. Consider not using packages with obfuscated code.

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Warn High
Obfuscated code: pypi spacy is 90.0% likely obfuscated

Confidence: 0.90

Location: Package overview

From: tools/hivemind-weave/pyproject.tomlpypi/spacy@3.8.14

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Suggestion: Packages should not obfuscate their code. Consider not using packages with obfuscated code.

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Warn High
Obfuscated code: pypi spacy is 90.0% likely obfuscated

Confidence: 0.90

Location: Package overview

From: tools/hivemind-weave/pyproject.tomlpypi/spacy@3.8.14

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Suggestion: Packages should not obfuscate their code. Consider not using packages with obfuscated code.

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Warn High
Obfuscated code: pypi spacy is 90.0% likely obfuscated

Confidence: 0.90

Location: Package overview

From: tools/hivemind-weave/pyproject.tomlpypi/spacy@3.8.14

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Suggestion: Packages should not obfuscate their code. Consider not using packages with obfuscated code.

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Warn High
Obfuscated code: pypi spacy is 90.0% likely obfuscated

Confidence: 0.90

Location: Package overview

From: tools/hivemind-weave/pyproject.tomlpypi/spacy@3.8.14

ℹ Read more on: This package | This alert | What is obfuscated code?

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Suggestion: Packages should not obfuscate their code. Consider not using packages with obfuscated code.

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Warn High
Obfuscated code: pypi spacy is 90.0% likely obfuscated

Confidence: 0.90

Location: Package overview

From: tools/hivemind-weave/pyproject.tomlpypi/spacy@3.8.14

ℹ Read more on: This package | This alert | What is obfuscated code?

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Suggestion: Packages should not obfuscate their code. Consider not using packages with obfuscated code.

Mark the package as acceptable risk. To ignore this alert only in this pull request, reply with the comment @SocketSecurity ignore pypi/spacy@3.8.14. You can also ignore all packages with @SocketSecurity ignore-all. To ignore an alert for all future pull requests, use Socket's Dashboard to change the triage state of this alert.

Warn High
Obfuscated code: pypi spacy is 90.0% likely obfuscated

Confidence: 0.90

Location: Package overview

From: tools/hivemind-weave/pyproject.tomlpypi/spacy@3.8.14

ℹ Read more on: This package | This alert | What is obfuscated code?

Next steps: Take a moment to review the security alert above. Review the linked package source code to understand the potential risk. Ensure the package is not malicious before proceeding. If you're unsure how to proceed, reach out to your security team or ask the Socket team for help at support@socket.dev.

Suggestion: Packages should not obfuscate their code. Consider not using packages with obfuscated code.

Mark the package as acceptable risk. To ignore this alert only in this pull request, reply with the comment @SocketSecurity ignore pypi/spacy@3.8.14. You can also ignore all packages with @SocketSecurity ignore-all. To ignore an alert for all future pull requests, use Socket's Dashboard to change the triage state of this alert.

Warn High
Obfuscated code: pypi spacy is 90.0% likely obfuscated

Confidence: 0.90

Location: Package overview

From: tools/hivemind-weave/pyproject.tomlpypi/spacy@3.8.14

ℹ Read more on: This package | This alert | What is obfuscated code?

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Suggestion: Packages should not obfuscate their code. Consider not using packages with obfuscated code.

Mark the package as acceptable risk. To ignore this alert only in this pull request, reply with the comment @SocketSecurity ignore pypi/spacy@3.8.14. You can also ignore all packages with @SocketSecurity ignore-all. To ignore an alert for all future pull requests, use Socket's Dashboard to change the triage state of this alert.

Warn High
Obfuscated code: pypi spacy is 90.0% likely obfuscated

Confidence: 0.90

Location: Package overview

From: tools/hivemind-weave/pyproject.tomlpypi/spacy@3.8.14

ℹ Read more on: This package | This alert | What is obfuscated code?

Next steps: Take a moment to review the security alert above. Review the linked package source code to understand the potential risk. Ensure the package is not malicious before proceeding. If you're unsure how to proceed, reach out to your security team or ask the Socket team for help at support@socket.dev.

Suggestion: Packages should not obfuscate their code. Consider not using packages with obfuscated code.

Mark the package as acceptable risk. To ignore this alert only in this pull request, reply with the comment @SocketSecurity ignore pypi/spacy@3.8.14. You can also ignore all packages with @SocketSecurity ignore-all. To ignore an alert for all future pull requests, use Socket's Dashboard to change the triage state of this alert.

Warn High
Obfuscated code: pypi spacy is 90.0% likely obfuscated

Confidence: 0.90

Location: Package overview

From: tools/hivemind-weave/pyproject.tomlpypi/spacy@3.8.14

ℹ Read more on: This package | This alert | What is obfuscated code?

Next steps: Take a moment to review the security alert above. Review the linked package source code to understand the potential risk. Ensure the package is not malicious before proceeding. If you're unsure how to proceed, reach out to your security team or ask the Socket team for help at support@socket.dev.

Suggestion: Packages should not obfuscate their code. Consider not using packages with obfuscated code.

Mark the package as acceptable risk. To ignore this alert only in this pull request, reply with the comment @SocketSecurity ignore pypi/spacy@3.8.14. You can also ignore all packages with @SocketSecurity ignore-all. To ignore an alert for all future pull requests, use Socket's Dashboard to change the triage state of this alert.

Warn High
Obfuscated code: pypi spacy is 90.0% likely obfuscated

Confidence: 0.90

Location: Package overview

From: tools/hivemind-weave/pyproject.tomlpypi/spacy@3.8.14

ℹ Read more on: This package | This alert | What is obfuscated code?

Next steps: Take a moment to review the security alert above. Review the linked package source code to understand the potential risk. Ensure the package is not malicious before proceeding. If you're unsure how to proceed, reach out to your security team or ask the Socket team for help at support@socket.dev.

Suggestion: Packages should not obfuscate their code. Consider not using packages with obfuscated code.

Mark the package as acceptable risk. To ignore this alert only in this pull request, reply with the comment @SocketSecurity ignore pypi/spacy@3.8.14. You can also ignore all packages with @SocketSecurity ignore-all. To ignore an alert for all future pull requests, use Socket's Dashboard to change the triage state of this alert.

Warn High
Obfuscated code: pypi spacy is 90.0% likely obfuscated

Confidence: 0.90

Location: Package overview

From: tools/hivemind-weave/pyproject.tomlpypi/spacy@3.8.14

ℹ Read more on: This package | This alert | What is obfuscated code?

Next steps: Take a moment to review the security alert above. Review the linked package source code to understand the potential risk. Ensure the package is not malicious before proceeding. If you're unsure how to proceed, reach out to your security team or ask the Socket team for help at support@socket.dev.

Suggestion: Packages should not obfuscate their code. Consider not using packages with obfuscated code.

Mark the package as acceptable risk. To ignore this alert only in this pull request, reply with the comment @SocketSecurity ignore pypi/spacy@3.8.14. You can also ignore all packages with @SocketSecurity ignore-all. To ignore an alert for all future pull requests, use Socket's Dashboard to change the triage state of this alert.

Warn High
Obfuscated code: pypi spacy is 90.0% likely obfuscated

Confidence: 0.90

Location: Package overview

From: tools/hivemind-weave/pyproject.tomlpypi/spacy@3.8.14

ℹ Read more on: This package | This alert | What is obfuscated code?

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Suggestion: Packages should not obfuscate their code. Consider not using packages with obfuscated code.

Mark the package as acceptable risk. To ignore this alert only in this pull request, reply with the comment @SocketSecurity ignore pypi/spacy@3.8.14. You can also ignore all packages with @SocketSecurity ignore-all. To ignore an alert for all future pull requests, use Socket's Dashboard to change the triage state of this alert.

Warn High
Obfuscated code: pypi spacy is 90.0% likely obfuscated

Confidence: 0.90

Location: Package overview

From: tools/hivemind-weave/pyproject.tomlpypi/spacy@3.8.14

ℹ Read more on: This package | This alert | What is obfuscated code?

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Suggestion: Packages should not obfuscate their code. Consider not using packages with obfuscated code.

Mark the package as acceptable risk. To ignore this alert only in this pull request, reply with the comment @SocketSecurity ignore pypi/spacy@3.8.14. You can also ignore all packages with @SocketSecurity ignore-all. To ignore an alert for all future pull requests, use Socket's Dashboard to change the triage state of this alert.

Warn High
Obfuscated code: pypi spacy is 90.0% likely obfuscated

Confidence: 0.90

Location: Package overview

From: tools/hivemind-weave/pyproject.tomlpypi/spacy@3.8.14

ℹ Read more on: This package | This alert | What is obfuscated code?

Next steps: Take a moment to review the security alert above. Review the linked package source code to understand the potential risk. Ensure the package is not malicious before proceeding. If you're unsure how to proceed, reach out to your security team or ask the Socket team for help at support@socket.dev.

Suggestion: Packages should not obfuscate their code. Consider not using packages with obfuscated code.

Mark the package as acceptable risk. To ignore this alert only in this pull request, reply with the comment @SocketSecurity ignore pypi/spacy@3.8.14. You can also ignore all packages with @SocketSecurity ignore-all. To ignore an alert for all future pull requests, use Socket's Dashboard to change the triage state of this alert.

Warn Medium
Install-time scripts: pypi cryptography

Install script: Package overview

Source: undefined

From: tools/hivemind-weave/uv.lockpypi/cryptography@50.0.0

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Suggestion: Packages should not be running non-essential scripts during install and there are often solutions to problems people solve with install scripts that can be run at publish time instead.

Mark the package as acceptable risk. To ignore this alert only in this pull request, reply with the comment @SocketSecurity ignore pypi/cryptography@50.0.0. You can also ignore all packages with @SocketSecurity ignore-all. To ignore an alert for all future pull requests, use Socket's Dashboard to change the triage state of this alert.

Warn Medium
Install-time scripts: pypi pydantic-core

Install script: Package overview

Source: undefined

From: tools/hivemind-weave/uv.lockpypi/spacy@3.8.14pypi/pydantic-core@2.46.4

ℹ Read more on: This package | This alert | What is an install script?

Next steps: Take a moment to review the security alert above. Review the linked package source code to understand the potential risk. Ensure the package is not malicious before proceeding. If you're unsure how to proceed, reach out to your security team or ask the Socket team for help at support@socket.dev.

Suggestion: Packages should not be running non-essential scripts during install and there are often solutions to problems people solve with install scripts that can be run at publish time instead.

Mark the package as acceptable risk. To ignore this alert only in this pull request, reply with the comment @SocketSecurity ignore pypi/pydantic-core@2.46.4. You can also ignore all packages with @SocketSecurity ignore-all. To ignore an alert for all future pull requests, use Socket's Dashboard to change the triage state of this alert.

Warn Medium
Install-time scripts: pypi rpds-py

Install script: Package overview

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From: tools/hivemind-weave/uv.lockpypi/rpds-py@2026.6.3

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ash0ts commented Aug 6, 2026

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I’ve updated this draft with a separate, explicitly noncanonical review path so we can evaluate recent HiveMind chats without pretending the hosted historical-turn API exists yet.

What I tried first was a native Agents backfill: map every ATIF turn to a root plus its LLM/tool children and send it through the existing historical logging path. That failed at the reliability boundary for large conversations. The hosted OTLP path does not give me an atomic, durable, idempotent commit for the whole span graph, so a late failure can leave a partial turn and an ambiguous retry. The companion Weave branch is still useful for validating the future API shape, but running its client code locally cannot create those missing server guarantees.

This revision adds a temporary review mirror instead:

  • the only allowed destination is the existing private project wandb/hivemind-chats-review;
  • review preview discovers, maps, fully redacts, serializes, and seals a content-free plan without uploading;
  • complete redacted turns are canonical JSON, split deterministically into immutable Weave Content objects (8 MiB maximum per chunk, 64 chunks maximum), followed by a verified index;
  • only after every object reads back exactly does review apply emit one small root-only Agents turn with bounded, clearly labeled previews and immutable manifest references;
  • uncertain root delivery is never retried automatically; review reconcile accepts only one exact remote match;
  • canaries and --max-sessions operate on whole sessions, so we can test 1, then 5, then 20 rather than attempt one large batch;
  • the Weave dependency is pinned to companion commit eaf0a27beffd13f90d4ec64547c53a37df4bdb94, and the installed package is checked against its PEP 610 provenance and RECORD before import;
  • no command reads a .env file, and no scheduler or custom endpoint is part of this path.

I also tightened privacy around low-entropy IDs and selectors. Source/principal IDs must be canonical lowercase UUIDv4/v7 before they can be hashed or persisted; uncontracted agent/trajectory IDs become a constant marker; filter state keeps only kinds/counts; preserved JSON metadata is structurally redacted; and name-like values hidden in technical/model/code-identifier shapes are covered by regression tests.

Current validation is 605 passing tests with the single opt-in live smoke deselected, plus Ruff, offline source/wheel builds, CLI smoke checks, and an independent security review with no remaining P1/P2 finding.

I have not created the project or uploaded any chat. The next safe steps are still sequential: verify the caller-created project is private and writable, run the synthetic large-turn smoke, run one deterministic real canary and confirm a zero-emission rerun, capture an exact trailing-21-day cutoff, then apply whole-session cohorts of 1, 5, 20, and the remainder. Any uncertainty, conflict, privacy failure, missing reference, or count mismatch stops the rollout.

This mirror is only for review. wandb/hivemind-chats-v2 remains reserved for the future atomic native-span import, which still depends on the hosted Weave service work described in the draft.

ash0ts commented Aug 6, 2026

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Update: safe three-week review mirror and real canary findings

I kept working from the live failure evidence instead of trying another large upload.

What I tried

I added the temporary, explicitly noncanonical review path for wandb/hivemind-chats-review. It keeps each complete redacted turn in immutable, digest-addressed Weave Content objects and emits only one small root Agents span after all objects read back correctly. Plans are sealed, reports are content-free, execution is whole-session bounded, and ambiguous root delivery stops the cohort.

I then ran discovery over the exact trailing 21-day window. The bounded canary scan examined two plausible settled top-level sessions. Neither satisfied the strict whole-session canary limits, so planning stopped and uploaded nothing. The limits were not relaxed automatically.

What went wrong

The real pinned Weave SDK exposed a separate bug before any W&B write: with PII redaction enabled, the SDK recursively redacted typed message protocol strings. Presidio could classify the literal UriPart.type == "uri" as a person name, replace the discriminator, and make Pydantic reject the root. This meant the review mirror could not safely attach its content references.

The earlier code also retained more source identity material than necessary and did not prove enough about a sealed plan before a cohort write. In particular, account-label-derived state, arbitrary UUIDv5 values, mutable plan rows, and a partial candidate universe could create privacy or substitution risks.

What changed

  • Removed account-label/principal-derived persistence from the review path.
  • Restricted preserved UUIDv5 values to validated HiveMind session/parent schema boundaries; UUIDv5 values in chat content, tools, and generic metadata are redacted.
  • Recompute and verify sealed plan IDs from their stored filters, sessions, and turn certificates.
  • Require the complete discovered session universe before applying a cohort.
  • Preflight every turn in the first selected session before publishing its first object.
  • Added a bounded summary-first canary pass: no more than 25 plausible transcript fetches, with strict turn/tool/token limits and content-free progress.
  • Kept the legacy canonical backfill, scheduler, Keychain, and reconcile write surfaces fail-closed because their older identity journal is not safe to resume.
  • Pinned the review importer to exact Weave commit 0b58f67e1539bfaa2c705e35bed2d9896a319c6a, which includes no-create initialization and the typed-message redaction fix.
  • Added an importer regression that exercises the real installed Weave package with PII redaction enabled and URI-backed root content.

The standalone Weave fix is wandb/weave#7699. The combined reviewed companion remains wandb/weave#7693.

Current status

  • No HiveMind chat content has been uploaded by this revised path.
  • No local review journal was created by the failed canary.
  • The destination remains wandb/hivemind-chats-review; wandb/hivemind-chats-v2 remains reserved for a future atomic native-span import.
  • Validation: 614 tests passed, 1 live test deselected; Ruff, formatting, lock resolution, exact installed-commit provenance, and diff checks passed.
  • The next safe live step is one explicit small session (or a synthetic session) in the private review project, followed by a zero-emission rerun. Only after that should the sealed 21-day plan run in whole-session cohorts of 1, 5, 20, then the remainder.

This stays draft. I am not claiming that the three-week logs are visible yet.

ash0ts commented Aug 6, 2026

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Final status-command correction

The last local check found that review status opened the state store even when no journal existed, which would create the lock/database merely to report zero work. I changed the empty-state path to use a read-only existence check and return zero counts without creating its parent directory, lock, or SQLite file.

The focused regression passes, Ruff/format/diff checks remain clean, and a real invocation now reports zero plans/turns with the review state still absent.

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