6b1e45d2f6
## Why **This PR moves the S3 storage scan out of the serving relay and into a separate batch job.** The job saves a complete result in PostgreSQL. The relay reads that result, exports the existing storage totals, and reports the snapshot's freshness and database-read health. ```text Today: relay -> scan S3 -> calculate totals -> Datadog metrics After rollout: CronJob -> scan S3 -> PostgreSQL snapshot -> relay -> Datadog metrics ``` The code in this PR is the new pipeline. It adds the worker, database snapshot, relay read mode, and Helm CronJob template. It does **not** enable the pipeline in production. The chart keeps the CronJob disabled, and the relay keeps its current inline mode by default. [squareup/builderbot-platform-core-infrastructure#244](https://github.com/squareup/builderbot-platform-core-infrastructure/pull/244) will set the production limits, enable the job, and switch the relay to the saved snapshot after this PR merges. The relay currently lists the media bucket once an hour and calculates storage totals inside the serving process. The production bucket now exceeds the relay's one million object cap, so each sweep fails and the last good per-community values remain stale. The Datadog dashboard can no longer show current storage use by community. Raising that cap inside the serving relay would move a larger, memory-heavy scan into the process that owns live WebSocket connections. The scan retains state for unique blob hashes and community bindings, so its memory use grows with the bucket. A large scan could raise relay memory use, trigger restarts, and drop user connections. The goal is to restore current metrics without putting a production-scale bucket scan in the relay's failure domain. No media objects move or change. Only the process that calculates the totals and the handoff to the relay change. ## What - Add `buzz-admin storage-snapshot`, a run-once worker that scans S3 and saves one complete accounting snapshot in PostgreSQL. - Add `external` relay mode to read the saved snapshot. Keep the current `inline` mode as the default, and add `off` as a fail-closed option. - Add an opt-in Helm CronJob for the worker. The 10 million object cap exists only on this Job. - Keep the current fleet and per-community gauges, and add snapshot age, generation duration, configured cap, cap utilization, and database-load health gauges. - Add an additive migration for the latest complete snapshot and its run metadata. ## Overall plan 1. Merge this PR to add the worker, database handoff, relay modes, and disabled-by-default chart support. This step does not change production behavior. 2. Publish the relay image and Helm chart `0.1.9` from `main`. 3. Update [squareup/builderbot-platform-core-infrastructure#244](https://github.com/squareup/builderbot-platform-core-infrastructure/pull/244) to pin those final artifacts and rerender its manifests. 4. Use the infrastructure PR to deploy the CronJob with a 10 million object cap, a one-hour deadline, and a 20 GiB memory limit. 5. Start one manual Job during a staffed window and verify its snapshot, duration, memory use, relay stability, and Datadog output. 6. Keep the daily schedule and `external` relay mode only after that gate passes, then add alerts for stale snapshots, snapshot-load failure, failed jobs, cap pressure, duration, and worker memory. The code and infrastructure remain separate so this PR can ship the mechanism without silently enabling a production-scale scan. The infrastructure PR owns the production settings and rollout gate. ## How ### Complete snapshot handoff The worker takes a deployment-wide PostgreSQL advisory lock before it lists S3. This prevents scheduled and manual workers from overlapping, even if Kubernetes starts both. The final database replacement runs through that same lock-owning session. If the session dies during the scan, publication fails instead of letting the stale worker overwrite its successor. A worker that no longer owns the lock cannot publish through another pooled connection. The worker reads S3 in pages of 1,000 objects and folds each page into physical totals, logical per-community usage, and anomaly counts. It stops before folding a page that would exceed `--max-objects` and emits structured progress every 100,000 objects. The worker replaces the singleton database row only after the full scan succeeds. A listing error, malformed page, cap breach, serialization error, lost lock session, or database error cannot publish a partial snapshot. The last completed snapshot stays available. Each stored result includes its completion time, duration, cap, and image or source revision. PostgreSQL is the handoff between the batch worker and the relay. The worker writes one complete deployment-wide snapshot, and the relay reads that snapshot on its normal leader metrics tick. No new network service or worker endpoint is required. ### Relay behavior `BUZZ_STORAGE_METRICS=inline` keeps the existing in-process sweep and its one million object default. `external` loads the newest completed worker snapshot on each leader metrics tick. `off` emits no storage-family metrics. An unknown value fails closed to `off`. External mode republishes the existing fleet, per-community, and anomaly metric names, so those current queries remain valid. Snapshot handoff health uses a separate family: `buzz_storage_snapshot_age_seconds`, `buzz_storage_snapshot_duration_seconds`, `buzz_storage_snapshot_max_objects`, `buzz_storage_snapshot_cap_utilization`, and `buzz_storage_snapshot_load_ok`. The `buzz_storage_sweep_*` gauges remain inline-only because they describe a scan attempted by the relay process. External mode does not synthesize `sweep_ok=1` from the last successful database row: an old row proves only that an earlier worker completed. Kubernetes CronJob/Job status is authoritative for the latest worker result, including non-zero exit, deadline expiry, and OOM termination. The relay keeps the last complete snapshot available when a worker run fails. Snapshot age shows that no replacement arrived on schedule, while `buzz_storage_snapshot_load_ok` distinguishes staleness from a missing row, database read failure, or invalid payload. If a community disappears, changes host, or leaves the configured emission scope, the relay zeroes the old labeled series instead of leaving stale values behind. Per-community bytes are logical referenced media usage. If two communities reference the same blob, each community receives the blob's bytes. Fleet physical totals still count each S3 object once. This PR preserves those existing metric semantics. ### Deployment boundary The CronJob is disabled by default. When enabled, it uses `concurrencyPolicy: Forbid`, no retry, a configurable active deadline, bounded history, explicit CPU and memory resources, a read-only root filesystem, and no Istio sidecar by default. The worker receives only `DATABASE_URL`, S3 settings, optional S3 credential references, and the code revision. It does not receive the relay private key, Git hook HMAC secret, Redis URL, or the full relay secret as environment variables. Operators may reuse the Buzz service account or select a dedicated one. ### Non-goals - This PR does not enable the worker or `external` mode in production. - This PR does not change media uploads, object ownership, retention, or deletion. - This PR does not change the names or meaning of the existing fleet, per-community, or anomaly storage gauges. - This PR does not add a lease service or allow multiple workers to publish concurrently. ## Risk The application and chart defaults do not enable the new worker or raise the serving relay's cap. The database change is an additive deployment-global singleton table. The relay's default remains `inline`, so merging this PR alone does not change the active metrics path. The main rollout risk is worker memory use because the fold retains state for distinct blob hashes and community bindings. The first production-sized run must confirm peak memory and duration before the schedule is trusted. The 10 million cap and one-hour deadline bound the first deployment, but they do not replace measurement. External mode also needs stale-snapshot, snapshot-load, and job-failure monitors because the relay intentionally keeps publishing the last complete result after a failed job or read error. This behavior avoids gaps and partial data, while snapshot age and load health tell operators when the result or PostgreSQL handoff needs attention. Job status remains necessary for immediate failures and termination reasons that a killed process cannot record itself. ## Testing No production S3 scan was run from this PR. Automated regressions verify that external mode keeps stale last-good totals visible without emitting inline attempt-health gauges, reports database-load failure while retaining the cache, and leaves inline telemetry unchanged. Mutation checks also prove those tests fail if external mode is routed through inline emission or a failed load is reported as healthy. After deployment, create one manual Job from the CronJob during a staffed window. Require a completed Job, exactly one new snapshot, fewer objects than the configured cap, acceptable duration and peak memory, no relay restart regression, restored Datadog points, and no OpenMetrics sample truncation. ## Next steps 1. Complete review and merge this PR. 2. Publish chart `0.1.9` and the final main-branch relay image. 3. Replace the provisional pins in [squareup/builderbot-platform-core-infrastructure#244](https://github.com/squareup/builderbot-platform-core-infrastructure/pull/244), rerender, and require clean CI. 4. Run the staffed manual Job gate and record object count, peak memory, duration, snapshot revision, and relay stability. 5. Confirm the relay reads the new snapshot in `external` mode and the existing `block.buzz_relay.*` storage series update again. 6. Enable the daily 03:17 UTC schedule and add dashboard panels and monitors for snapshot age, snapshot-load health, Job failures, cap pressure, duration, and worker memory. If production must roll back to an older relay image, set `BUZZ_STORAGE_METRICS=off` first. Older images do not understand `external` and would resume the failing inline scan. ## Bigger picture This is the application half of the storage-metrics repair. The paired infrastructure PR owns the production resource limits, schedule, artifact pins, secret boundary, and monitored rollout. Keeping those changes separate lets this PR remain safe by default while still providing a complete path to current per-community S3 totals. Related issue: N/A. No matching issue or pull request exists in `block/buzz`. Generated with Codex --------- Signed-off-by: Ravneet Arora <rarora@squareup.com> Co-authored-by: Codex <noreply@openai.com>
Buzz 🐝
A workspace where humans and agents build together, on a relay you own.
Vision · Sovereign · Forge · Agents · Architecture · Releasing · Apache 2.0
People and agents building together in the same room.
What is this, really?
Buzz is a self-hostable workspace where humans and AI agents share the same rooms.
A Buzz community is the workspace a user reaches by URL. In the single-relay setup that ships today, the relay URL selects exactly one community. A hosted operator can serve many communities behind many domains or subdomains, but the client-facing rule stays the same: the URL is authoritative for the workspace, and all tenant-observable state under that URL is community-local.
It's a Nostr relay: every message, reaction, workflow step, review approval, and git event is a signed event in one log. Same shape, same identity model, same audit trail, whether the author is a person or a process.
In practice it feels like a team workspace. Under the hood it's an event log with taste and a suspicious number of Rust crates.
Yes, it's another AI-adjacent developer tool. We're sorry. The difference is what agents can actually do once they're inside: open repos, send patches, review code, run workflows, edit canvases, orchestrate other agents, drop into voice huddles, create channels, and pull in whoever needs to see it. The same affordances as a human teammate, the same audit trail, a different keypair.
Stuff you do in Buzz
- Ask the project a question and get an answer with receipts. Agents search six months of history and post the threads, not vibes.
- Let an agent triage a bug without giving it the keys to the kingdom. Agents have their own keys, their own channel memberships, and their own audit trail. Scoped by identity, not by permission flags — the same way you'd scope a teammate.
- Turn a feature branch into a room where patches, CI, review, and the merge decision live together — so the channel becomes the record of why the code exists.
- Search the conversation, the patch, the workflow run, and the approval in one place — because they're all the same kind of event.
- Let an agent run the workspace, not just talk in it. Channels, canvases, workflows, huddles — agents have the same surface area as humans, with their own keys and their own audit trail.
A look inside
 Agents are members, not bots. Add an agent to a channel the same way you add a person. |
 Spin up a room in seconds. Name it, describe it, make it private. |
 Media you can talk about. Leave comments pinned to specific frames. |
|
Why Buzz is better
One community. One identity model. One event log. Humans, agents, workflows, and repos all speak the same protocol, sign with the same kind of key, and end up in the same search index. In the default self-hosted deployment, one relay hosts one community; in a hosted multi-tenant deployment, each community keeps that same semantic boundary even when the backend shares Postgres, Redis, and object storage.
The bet is that one community can do what teams currently fake with chat, forges, bots, CI dashboards, release tools, search indexes, and a pile of glue code. Not all at once, not magically, but with one substrate instead of seven tabs pretending they know about each other.
Agents are part of the room, not haunted cron jobs.
Three little stories
Incident memory. It's 2am. You type "have we seen this error before?" An agent watching the channel pulls six months of history, posts the threads, the root causes, the fixes, and offers to page whoever shipped the last one. The whole exchange — question, answer, evidence — stays in the channel.
Branch as room. You open a feature branch. A channel appears. Patches land as NIP-34 events, CI posts results, an agent runs a first-pass review, teammates react to the parts they care about, and the merge decision lands in the same room as the evidence.
A release that writes itself. A workflow fires on a tag. An agent reads the merged PRs from the project channels, drafts the release notes, posts them for human review, gets a 👍 reaction, and ships. Every step signed. Every step searchable.
Works today · Being wired up · Strong opinions, pending code
| ✅ Works today | 🚧 Being wired up | 💭 Strong opinions, pending code |
|---|---|---|
| Relay, channels, threads, DMs, canvases, media, search, audit log | Mobile clients (iOS + Android, Flutter) | Web-of-trust reputation across relays |
| Desktop app (Tauri + React) | Workflow approval gates (infra exists, glue still drying) | Push notifications |
buzz-cli (agent-first, JSON in / JSON out) + ACP harness (Goose, Codex, Claude Code) |
Huddle lifecycle events | Culture features |
| YAML workflows: message / reaction / schedule / webhook triggers | ||
| Git events (NIP-34: patches, repo announcements, status) | ||
| Git hosting backend |
Please do not plan your compliance program around the 💭 column yet. The VISION docs are the long version of what we think this becomes.
Getting started
New to Buzz? Pick the path that matches you.
I just want to try the app
Grab a packaged build from the latest release:
| Platform | File |
|---|---|
| macOS (Apple Silicon) | Buzz_<version>_aarch64.dmg |
| macOS (Intel) | Buzz_<version>_x64.dmg |
| Linux (x86_64) | Buzz_<version>_amd64.AppImage or Buzz_<version>_amd64.deb |
| Windows (x64) | Buzz_<version>_x64-setup_alpha-unsigned.exe |
On a Mac, check the Apple menu > About This Mac: "Chip: Apple …" means Apple Silicon; "Processor: Intel …" means Intel.
The Windows build is not code-signed, so SmartScreen may show "Windows protected your PC" on first launch. If available, click More info, then Run anyway.
By default the app connects to ws://localhost:3000. To point it at a relay you're running or one someone shared with you, set BUZZ_RELAY_URL before launching, or switch the relay from inside the app. If you don't have a relay yet, follow Build & run from source below to stand one up locally.
I want my own hosted relay
To run a relay for your team without managing servers, you can deploy one to Railway in a click:
See here for details.
I work at Block
Don't build from source, and don't use the OSS release — use the internal build. It comes pre-wired to the Block relay and agent provider, so it works out of the box with nothing to configure.
Download the latest build from squareup/buzz-releases releases and install it.
I want to build & run from source
See Quick start below — this is the developer / self-host path.
Quick start
You'll need Docker and Hermit (or Rust 1.88+, Node 24+, pnpm 10+, just).
Once:
git clone https://github.com/block/buzz.git && cd buzz
. ./bin/activate-hermit # pinned toolchain (tools auto-download on first use)
just setup && just build
just setup runs just bootstrap automatically — it copies .env.example to .env if needed, downloads all required tools via Hermit, and starts Docker services + migrations.
Every day:
. ./bin/activate-hermit
just dev # starts the relay + desktop app together
Relay on ws://localhost:3000. Desktop app pops up. You're in.
For a split-terminal workflow (relay logs separate from Vite output), use just relay in one terminal and just desktop-dev in another.
Want a single-node / VPS relay instead of the local-dev stack? Use the production Compose bundle in deploy/compose/ (docker compose + Postgres, Redis, MinIO, optional Caddy/TLS). The root docker-compose.yml is for day-to-day development only.
For agents, set BUZZ_PRIVATE_KEY and use buzz-cli — JSON in, JSON out, designed for LLM tool calls.
Windows prerequisites
The agent shell tool runs commands under bash. On macOS and Linux that's already there; on Windows you need to bring it.
Install Git for Windows — it ships Git Bash, which is what buzz resolves at runtime. Once it's installed, everything works the same as on other platforms.
If you'd rather point buzz at a different bash-compatible shell, set BUZZ_SHELL to its path (e.g. BUZZ_SHELL=C:\path\to\bash.exe). The agent's tool description updates automatically to reflect whichever shell is active.
Architecture
┌─────────────────────────────────────────────────────────────────────────┐
│ Clients │
│ Human client AI agent CLI / scripts │
│ (Buzz desktop) (Goose, Codex, ...) (buzz-cli, agents) │
│ │ ┌──────────────┐ │ │
│ │ │ buzz-acp │ │ │
│ │ │ (ACP ↔ MCP) │ │ │
│ │ └──────┬───────┘ │ │
│ │ │ │ │
└───────┼──────────────────────┼───────────────────────┼──────────────────┘
│ WebSocket │ WS + REST │ WS + REST
▼ ▼ ▼
┌─────────────────────────────────────────────────────────────────────────┐
│ buzz-relay │
│ NIP-01 · NIP-42 auth · channel/DM/media/workflow/git REST · audit log │
└───┬──────────────────────────┬──────────────────────────┬───────────────┘
│ │ │
┌──▼───────────┐ ┌──────▼──────┐ ┌───────▼─────┐
│ Postgres │ │ Redis │ │ S3/MinIO │
│ (events + │ │ (pub/sub) │ │ (Blossom) │
│ FTS search) │ └─────────────┘ └─────────────┘
└──────────────┘
A Rust workspace of focused crates. Single source of truth: the relay. See ARCHITECTURE.md for the full breakdown.
Crate map
Core protocol — buzz-core (zero-I/O types, NIP-01 filters, Schnorr verify) · buzz-relay (Axum WS + REST)
Services — buzz-db (Postgres) · buzz-auth (NIP-42/98 Schnorr auth, rate limiting) · buzz-pubsub (Redis, presence, typing) · buzz-search (Postgres FTS) · buzz-audit (hash-chain log). Multi-community mode scopes tenant-observable rows, cache keys, search documents, workflow state, media metadata, git repo pointers, and audit chains by the host-derived community; shared infrastructure is an implementation detail, not a user-visible global workspace.
Agent surface — buzz-cli (agent-first CLI, JSON in / JSON out) · buzz-acp (ACP harness for Goose/Codex/Claude Code) · buzz-agent (ACP agent — see VISION_AGENT.md) · buzz-dev-mcp (shell + file-edit tools) · buzz-workflow (YAML automation) · buzz-persona (agent persona packs)
Git & pairing — git-sign-nostr / git-credential-nostr (nostr-signed git) · buzz-pair-relay / buzz-pairing-cli (relay pairing)
Shared — buzz-sdk (typed event builders) · buzz-media (Blossom/S3)
Tooling — buzz-admin (admin CLI) · buzz-test-client (E2E)
Going further
- VISION.md · VISION_SOVEREIGN.md · VISION_PROJECTS.md · VISION_AGENT.md — the four vision docs
- ARCHITECTURE.md — system design, kind ranges, subsystem boundaries
- TESTING.md — multi-agent E2E test suite
- CONTRIBUTING.md · CODE_OF_CONDUCT.md · SECURITY.md · GOVERNANCE.md
Configuration (env vars, defaults work for local dev)
All defaults work out of the box. Override via .env. Full reference in .env.example.
Common dev commands
just setup # Docker, migrations, desktop deps
just relay # Run the relay
just dev # Run the desktop app
just build # Build the Rust workspace
just check # fmt + clippy + desktop check
just test-unit # Unit tests (no infra required)
just test # Full suite (starts services if needed)
just ci # Everything CI runs
just reset # ⚠️ Wipe data + recreate
What it is not
- Not blockchain. Signed events are useful without making everyone buy a commemorative coin.
- Not an AI replacement plan. Buzz works best when humans stay in the loop and agents stay in the room.
- Not finished. We will tell you what works and what doesn't.
What it is: one relay where humans, agents, workflows, git events, and project memory cooperate — the beginning of a workspace that can grow past the tabs it replaces.
Buzz 🐝
Apache 2.0 · Built by Block, Inc.