Two ResizeObserver effects (content and container) each had their own
local restoreGuardRafId but both wrote to the shared
isRestoringScrollRef. Either observer's guard-clear RAF could fire
while the other's pin chain was in-flight, leaving isRestoringScrollRef
prematurely false.
scrollTranscriptToBottom also set isRestoringScrollRef without
cancelling any pending guard-clear, so a stale clear could drop
the flag mid-smooth-scroll animation.
Promote restoreGuardRafId to a single shared ref so all write
paths coordinate through one cancellation point.
## Problem
The `/agents` page frequently shows "Response startup is taking longer
than expected" even while the agent is actively working and messages are
appearing in the transcript.
## Root Cause
There's an inconsistency between `isActiveChatStatus` and
`shouldApplyMessagePart` during `"pending"` status (the state between
agent tool-call turns):
| Component | Treats `"pending"` as... |
|---|---|
| `isActiveChatStatus` | **active** — includes both `"running"` and
`"pending"` |
| `shouldApplyMessagePart` | **inactive** — drops all `message_part`
events during `"pending"` |
| Status handler | clears `streamState` to `null` on `"pending"` |
This creates a dead state during multi-turn tool-call cycles:
1. Agent finishes a turn → status = `"pending"` → `streamState` cleared
to `null`
2. `selectIsAwaitingFirstStreamChunk` returns `true` (status is
"active", stream is null, latest message isn't assistant)
3. Phase = `"starting"` → 15s timer starts
4. Stream parts from the server are **silently dropped**
(`shouldApplyMessagePart()` returns `false` for `"pending"`)
5. `streamState` stays `null` — phase is stuck at `"starting"`
6. Meanwhile, durable messages (tool calls, tool results) appear
normally in the transcript
7. After 15s → "Response startup is taking longer than expected" fires
## Fix
Narrow `selectIsAwaitingFirstStreamChunk` to only check `chatStatus ===
"running"` instead of `isActiveChatStatus(chatStatus)`. `"running"` is
the only status where the transport actually accepts stream parts, so
it's the only status where we should be showing the "starting"
indicator.
`isActiveChatStatus` is left unchanged since its other caller
(`shouldSurfaceReconnectState`) correctly needs to include `"pending"`.
Adds three new documentation pages for major shipped features that had
no docs, and updates the platform controls index to reflect current
state.
## New pages
### Extending Agents (`extending-agents.md`)
Covers two workspace-level extension mechanisms:
- **Skills** — `.agents/skills/<name>/SKILL.md` directory structure,
frontmatter format, auto-discovery, `read_skill`/`read_skill_file`
tools, size limits, lazy loading
- **Workspace MCP tools** — `.mcp.json` format, stdio and HTTP
transports, tool name prefixing, discovery lifecycle and caching
### MCP Servers (`platform-controls/mcp-servers.md`)
Admin MCP server configuration:
- CRUD via **Agents** > **Settings** > **MCP Servers**
- Four auth modes: none, OAuth2 (with auto-discovery), API key, custom
headers
- Availability policies: `force_on`, `default_on`, `default_off`
- Tool governance via allow/deny lists
- Permission model and secret redaction
### Usage & Insights (`platform-controls/usage-insights.md`)
Three admin dashboards:
- **Usage limits** — spend caps with per-user and per-group overrides,
priority hierarchy, enforcement behavior
- **Cost tracking** — per-user rollup with token breakdowns, date
filtering, per-model and per-chat drill-down
## Updated files
- **`platform-controls/index.md`** — Moved MCP servers, usage limits,
and analytics from "Where we are headed" into "What platform teams
control today" with links to the new pages. Removed the tool
customization roadmap section (now covered by MCP servers page).
- **`manifest.json`** — Added nav entries for all three new pages.
## Resulting nav hierarchy
```
Coder Agents
├── Getting Started
├── Early Access
├── Architecture
├── Models
├── Platform Controls
│ ├── Template Optimization
│ ├── MCP Servers ← NEW
│ └── Usage & Insights ← NEW
├── Extending Agents ← NEW
└── Chats API
```
---
*PR generated with Coder Agents*
- Enable corepack before the linkspector step so `pnpm` shim is in PATH
- `action-linkspector@v1.4.1` internally calls `actions/setup-node@v5`,
which now defaults `package-manager-cache: true` — it detects
`pnpm-lock.yaml` and tries to resolve the `pnpm` binary, but it's not
installed on the runner
- Add TODO to remove the workaround when upstream is fixed
Upstream: https://github.com/UmbrellaDocs/action-linkspector/issues/54
> 🤖 Cian asked a Coder Agent to make this PR and then reviewed the
change.
## Problem
`aibridgeproxyd` sends `X-AI-Bridge-Request-Id` on every MITM request to
`aibridged` for cross-service log correlation, but aibridged never reads
it. The header is silently forwarded to upstream LLM providers.
## Changes
* Renamed the header to `X-Coder-AI-Governance-Request-Id` to match the
existing `X-Coder-AI-Governance-*` convention.
* `aibridged` now extracts the header, logs it and strips it before
forwarding upstream.
* Added `TestServeHTTP_StripInternalHeaders` to verify no `X-Coder-*`
headers leak to upstream
The terraform testdata fixtures silently drift when the coder provider
releases a new version. The .terraform.lock.hcl files are gitignored,
.tf files use loose constraints (>= 2.0.0), and generate.sh always
runs terraform init -upgrade. The Makefile only re-runs generate.sh
when the terraform CLI version changes, not the provider version.
Track a canonical lockfile and provider-version.txt in git. Change
generate.sh to respect the lockfile by default (terraform init without
-upgrade). Add --upgrade flag for intentional provider bumps, --check
for cheap staleness detection in the Makefile, and a new
update-terraform-testdata make target.
Adds the experimental `docker-chat-sandbox` example template under
`examples/templates/x/`. It provisions a regular dev agent plus a
chat-designated agent that runs inside bubblewrap with a read-only root,
writable `/home/coder`, and outbound TCP restricted to the Coder
control-plane endpoint via `iptables`.
The chat agent still appears in dashboard and API responses, but the
template reserves it for chatd-managed sessions rather than normal user
interaction. `lint/examples` now walks nested template directories, so
experimental templates can live under `examples/templates/x/` without
treating `x/` itself as a template.
scheduleBottomPin() cancelled any in-flight pin and restarted the
double-RAF chain on every ResizeObserver notification. When content
height changes on consecutive frames (e.g. during streaming where
SmoothText reveals characters each frame and markdown re-rendering
occasionally changes block height), the inner RAF that actually sets
scrollTop is perpetually cancelled before it fires. The scroll falls
behind the growing content.
Two fixes:
1. Make scheduleBottomPin() idempotent: if a pin is already in-flight,
skip. The inner RAF reads scrollHeight at execution time so it
always targets the latest bottom. User-interrupt paths (wheel,
touch) still cancel via cancelPendingPins().
2. Add overscroll-behavior:contain to the scroll container. Prevents
elastic overscroll from generating extra scroll events that could
flip autoScrollRef to false.
Replace the raw JSON dump for process_signal with the standard
ToolCollapsible + ToolIcon + ToolLabel pipeline, matching process_list
and other generic tools. A thin ProcessSignalRenderer promotes soft
failures (success=false, isError=false) so the generic renderer shows
the error indicator. ToolLabel distinguishes running, success, and
failure states. TerminalIcon used for consistency with other process
tools.
When a process is killed via process_signal, the execute and
process_output blocks show a red OctagonX icon with signal details
on hover. The killedBySignal field is set on MergedTool during the
existing cross-message parsing pass, no new abstractions.
Stories for process_signal (10) and killed indicators (8). Unit
tests for the cross-tool annotation logic (3). Humanized labels
and TerminalIcon for process_list.
Bumps rust from `f7bf1c2` to `1d0000a`.
[](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores)
Dependabot will resolve any conflicts with this PR as long as you don't
alter it yourself. You can also trigger a rebase manually by commenting
`@dependabot rebase`.
[//]: # (dependabot-automerge-start)
[//]: # (dependabot-automerge-end)
---
<details>
<summary>Dependabot commands and options</summary>
<br />
You can trigger Dependabot actions by commenting on this PR:
- `@dependabot rebase` will rebase this PR
- `@dependabot recreate` will recreate this PR, overwriting any edits
that have been made to it
- `@dependabot show <dependency name> ignore conditions` will show all
of the ignore conditions of the specified dependency
- `@dependabot ignore this major version` will close this PR and stop
Dependabot creating any more for this major version (unless you reopen
the PR or upgrade to it yourself)
- `@dependabot ignore this minor version` will close this PR and stop
Dependabot creating any more for this minor version (unless you reopen
the PR or upgrade to it yourself)
- `@dependabot ignore this dependency` will close this PR and stop
Dependabot creating any more for this dependency (unless you reopen the
PR or upgrade to it yourself)
</details>
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Adds suffix-based agent selection for chatd. Template authors can direct
chat traffic to a specific root workspace agent by naming it with the
`-coderd-chat` suffix (for example, `coder_agent "dev-coderd-chat"`).
When no suffix match exists, chatd falls back to the first root agent by
`DisplayOrder`, then `Name`. Multiple suffix matches return an error.
The selection logic lives in `coderd/x/chatd/internal/agentselect` and
is shared by chatd core plus the workspace chat tools so all chat entry
points pick the same agent deterministically.
No database migrations, API contract changes, or provider changes. The
experimental sandbox template was split out to #23777.
Previously, when a CONNECT tunnel was blocked because the destination
resolved to
a private/reserved IP range, the proxy returned 502 Bad Gateway —
implying an
upstream failure rather than a deliberate policy block.
Introduce `blockedIPError` as a sentinel type returned by both
`checkBlockedIP`
and `checkBlockedIPAndDial`. `ConnectionErrHandler` now inspects the
error with
`errors.As` and returns 403 Forbidden for policy blocks, keeping 502 for
genuine
dial failures.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
---------
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Closes#15129
Adds a generated **Beta features** table on the feature stages doc,
using the same mainline/stable sparse-checkout approach as the
early-access experiments list.
- Walk `docs/manifest.json` for routes with `state: ["beta"]` and render
a table (title, description, mainline vs stable).
- Inject output between `<!-- BEGIN: available-beta-features -->` /
`END` in `docs/install/releases/feature-stages.md`.
- Rename `scripts/release/docs_update_experiments.sh` →
`docs_update_feature_stages.sh`, refresh the script header, and use
`build/docs/feature-stages` for clone output.
<img width="1624" height="1061" alt="image"
src="https://github.com/user-attachments/assets/5fa811dd-9b80-446b-ae65-ec6e6cfedd6a"
/>
Follow-up to #23763.
The custom predicate uses the **SLSA v0.2 schema** (`invocation`,
`configSource`, `metadata`) but declares `predicate-type` as v1.
GitHub's attestation API rejects the mismatch:
```
Error: Failed to persist attestation: Invalid Argument -
predicate is not of type slsa1.ProvenancePredicate
```
This was masked before #23763 because the steps failed earlier on
missing `subject-digest`. Now that digests are provided, this is the
next error.
## Fix
Remove the custom `predicate-type` and `predicate` inputs. Without them,
`actions/attest@v4` auto-generates a correct SLSA v1 predicate from the
GitHub Actions OIDC token — which is what `gh attestation verify`
expects.
- `ci.yaml`: 3 attestation steps (main, latest, version-specific)
- `release.yaml`: 3 attestation steps (base, main, latest)
<details>
<summary>Verification (source code trace of actions/attest@v4)</summary>
1. **`detect.ts`**: No `predicate-type`/`predicate` → returns
`'provenance'` (not `'custom'`)
2. **`main.ts`**: `getPredicateForType('provenance')` →
`generateProvenancePredicate()`
3. **`@actions/toolkit/.../provenance.ts`**:
`buildSLSAProvenancePredicate()` fetches OIDC claims, builds correct v1
predicate with `buildDefinition`/`runDetails`
</details>
> 🤖 This PR was created with the help of Coder Agents, and needs a human
review. 🧑💻
The Linear Release workflow had `cancel-in-progress: true`
unconditionally, so a new push to `main` would cancel an already-running
sync. This meant successive PR merges would show you a bunch of red Xs
on CI, even though nothing was wrong.
<img width="958" height="305" alt="image"
src="https://github.com/user-attachments/assets/1bd06948-ef2d-469f-9d48-a82277a6110c"
/>
Other workflows like CI guard against this with `cancel-in-progress: ${{
github.ref != 'refs/heads/main' }}`.
This PR does the same thing to the linear release workflow. The job will
be queued instead.
<img width="678" height="105" alt="image"
src="https://github.com/user-attachments/assets/931e38c8-3de4-40d6-b156-d5de5726d094"
/>
Letting the job finish is not particularly wasteful or anything since
the sync takes 30~ seconds in CI time.
## Problem
GitHub SLSA provenance attestations have been silently failing on
**every release** since they were introduced. Confirmed across all 10+
release runs checked (v2.29.2 through v2.31.6).
The `actions/attest` action requires `subject-digest` (a `sha256:...`
hash) to identify the artifact being attested, but the workflow only
provided `subject-name` (the image tag like
`ghcr.io/coder/coder:v2.31.6`). This caused every attestation step to
error with:
```
Error: One of subject-path, subject-digest, or subject-checksums must be provided
```
The failures were masked by `continue-on-error: true` and only surfaced
as `##[warning]` annotations that nobody noticed. Enterprise customers
doing `gh attestation verify` would find no provenance records for any
of our Docker images.
> [!NOTE]
> The cosign SBOM attestation (separate step) has been working correctly
the entire time — it uses a different mechanism (`cosign attest --type
spdxjson`) that does not require the same inputs. This fix is
specifically for the GitHub-native SLSA provenance attestations.
## Fix
**Add `subject-digest` to all `actions/attest` steps** (release.yaml +
ci.yaml):
- Base image: capture digest from `depot/build-push-action` output
- Main image: resolve digest via `docker buildx imagetools inspect
--raw` after push
- Latest image: same approach
- Use `subject-name` without tag per the [actions/attest
docs](https://github.com/actions/attest#container-image)
**Update `anchore/sbom-action`** from v0.18.0 to v0.24.0 (node24
support, ahead of the [June 2
deadline](https://github.blog/changelog/2025-09-19-deprecation-of-node-20-on-github-actions-runners/)).
All changes remain non-blocking for the release process
(`continue-on-error: true` preserved).
> 🤖 This PR was created with the help of Coder Agents, and is reviewed
by a human.
These chatd relay tests were seeding chats through
`subscriber.CreateChat(...)`, which wakes the subscriber and can race
local acquisition against the intended remote-worker setup.
Seed waiting and remote-running chats directly in the database instead,
and point the default OpenAI provider at a local safety-net server so
accidental processing fails locally instead of reaching the live API.
Closes https://github.com/coder/internal/issues/1430
This fixes a flaky `TestConfigCache_UserPrompt_ExpiredEntryRefetches` by
making the seeded user prompt entry unambiguously expired before the
cache lookup runs.
The test previously inserted a `tlru` entry with a zero TTL, which
depends on `Set` and `Get` landing in different clock ticks. Switching
that seed entry to a negative TTL keeps the bounded `tlru` cache
behavior while removing the same-tick race.
Close https://github.com/coder/internal/issues/1432
## Problem
When the workspaces table transitions between states (loading →
populated, or populated → empty search results), the table column
headers visibly jump. This happens because the Actions column's width is
content-driven: when workspace rows are present, the action buttons give
it intrinsic width, shrinking the Name/Template/Status columns. When the
body is empty or loading, the Actions column collapses to zero, and the
other columns expand to fill the space.
## Solution
Hide the header content during loading and empty states using
`visibility: hidden` (Tailwind's `invisible` class), which preserves the
row's layout height but hides the text. This prevents the visual jump
since headers aren't visible during the states where column widths
differ.
- **Loading**: first column shows a skeleton bar matching the body
skeleton aesthetic; other columns are invisible
- **Empty search results**: all header content is invisible
- **Populated**: headers display normally
---------
Co-authored-by: Jaayden Halko <jaayden@coder.com>
## Summary
Skills are now discovered once on the first turn (or when the workspace
agent changes) and persisted as `skill` message parts alongside
`context-file` parts. On subsequent turns, the skill index is
reconstructed from persisted parts instead of re-dialing the workspace
agent.
This makes skills consistent with the AGENTS.md pattern and is
groundwork for a future `/context` endpoint that surfaces loaded
workspace context to the frontend.
## Changes
- Add `skill` `ChatMessagePartType` with `SkillName` and
`SkillDescription` fields
- Extend `persistInstructionFiles` to also discover and persist skills
as parts
- Add `skillsFromParts()` to reconstruct skill index from persisted
parts on subsequent turns
- Update `runChat()` to use `skillsFromParts` instead of re-dialing
workspace for skills
- Frontend: handle new `skill` part type (skip rendering, hide
metadata-only messages)
## Before / After
| | AGENTS.md | Skills |
|---|---|---|
| **Before** | Persist as `context-file` parts, reconstruct from parts |
In-memory `skillsCache` only, re-dial workspace on cache miss |
| **After** | Persist as `context-file` parts, reconstruct from parts |
Persist as `skill` parts, reconstruct from parts |
The in-memory `skillsCache` remains for `read_skill`/`read_skill_file`
tool calls that need full skill bodies on demand.
<details><summary>Design context</summary>
This is the first step toward a unified workspace context
representation. Currently:
- Context files are persisted as message parts (works)
- Skills were only in-memory (inconsistent)
- Workspace MCP servers are cached in-memory (future work)
Persisting skills as parts means a future `/context` endpoint can query
both context files and skills from the same message parts in the DB,
without depending on ephemeral server-side caches.
</details>
The llmmock Anthropic stream wrote each chunk as `data:` only, so
Anthropic clients never saw the named SSE events they dispatch on and
Claude responses arrived empty even though the stream completed with
HTTP 200.
Update `sendAnthropicStream()` to emit `event: <type>` and `data:
<json>` for each Anthropic chunk while leaving the OpenAI-style streams
unchanged.
Dependabot will resolve any conflicts with this PR as long as you don't
alter it yourself. You can also trigger a rebase manually by commenting
`@dependabot rebase`.
[//]: # (dependabot-automerge-start)
[//]: # (dependabot-automerge-end)
---
<details>
<summary>Dependabot commands and options</summary>
<br />
You can trigger Dependabot actions by commenting on this PR:
- `@dependabot rebase` will rebase this PR
- `@dependabot recreate` will recreate this PR, overwriting any edits
that have been made to it
- `@dependabot show <dependency name> ignore conditions` will show all
of the ignore conditions of the specified dependency
- `@dependabot ignore <dependency name> major version` will close this
group update PR and stop Dependabot creating any more for the specific
dependency's major version (unless you unignore this specific
dependency's major version or upgrade to it yourself)
- `@dependabot ignore <dependency name> minor version` will close this
group update PR and stop Dependabot creating any more for the specific
dependency's minor version (unless you unignore this specific
dependency's minor version or upgrade to it yourself)
- `@dependabot ignore <dependency name>` will close this group update PR
and stop Dependabot creating any more for the specific dependency
(unless you unignore this specific dependency or upgrade to it yourself)
- `@dependabot unignore <dependency name>` will remove all of the ignore
conditions of the specified dependency
- `@dependabot unignore <dependency name> <ignore condition>` will
remove the ignore condition of the specified dependency and ignore
conditions
</details>
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
## Problem
Commit 386b449 (PR #23745) changed the `OneWayWebSocketEventSender`
event channel from unbuffered to buffered(64) to reduce chat streaming
latency. This introduced a nondeterministic race in `sendEvent`:
```go
sendEvent := func(event codersdk.ServerSentEvent) error {
select {
case eventC <- event: // buffered channel — almost always ready
case <-ctx.Done(): // also ready after cancellation
}
return nil
}
```
After context cancellation, Go's `select` randomly picks between two
ready cases, so `send()` sometimes returns `nil` instead of `ctx.Err()`.
With the old unbuffered channel the send case was rarely ready (no
reader), masking the bug.
## Fix
Add a priority `select` that checks `ctx.Done()` before attempting the
channel send:
```go
select {
case <-ctx.Done():
return ctx.Err()
default:
}
select {
case eventC <- event:
case <-ctx.Done():
return ctx.Err()
}
```
This is the standard Go pattern for prioritizing one channel over
another. When the context is already cancelled, the first select returns
immediately. The second select still handles the case where cancellation
happens concurrently with the send.
## Verification
- Ran the flaky test 20× in a loop (`-count=20`): all passed
- Ran the full `TestOneWayWebSocketEventSender` suite 5× (`-count=5`):
all passed
- Ran the complete `coderd/httpapi` test package: all passed
Fixescoder/internal#1429
Previously, generating a new agent title used a page-global pending
state, so one in-flight regeneration disabled the action for every chat
in the Agents UI.
This change tracks regenerations by chat ID, updates the Agents page
contracts to use `regeneratingTitleChatIds`, and adds sidebar story
coverage that proves only the active chat is disabled.
Previously, when a user sent a message, there was a 0–1000ms (avg
~500ms) polling delay before processing began.
`SendMessage`/`CreateChat`/`EditMessage` set `status='pending'` in the
DB and returned, but nothing woke the processing loop — it was a blind
1-second ticker.
## Changes
**Event-driven acquisition (main change):** Adds a `wakeCh` channel to
the chatd `Server`. `CreateChat`, `SendMessage`, `EditMessage`, and
`PromoteQueued` call `signalWake()` after committing their transactions,
which wakes the run loop to call `processOnce` immediately. The 1-second
ticker remains as a fallback safety net for edge cases (stale recovery,
missed signals).
**Buffer WebSocket write channel:** Changes the
`OneWayWebSocketEventSender` event channel from unbuffered to buffered
(64), decoupling the event producer from WebSocket write speed. The
existing 10s write timeout guards against stuck connections.
<details><summary>Implementation plan & analysis</summary>
The full latency analysis identified these sources of delay in the
streaming pipeline:
1. **Chat acquisition polling** — 0–1000ms (avg 500ms) dead time per
message. Fixed by wake channel.
2. **Unbuffered WebSocket write channel** — each token blocked on the
previous WS write completing. Fixed by buffering.
3. **PersistStep DB transaction per step** — `FOR UPDATE` lock + batch
insert. Not addressed in this PR (medium risk, would overlap DB write
with next provider TTFB).
4. **Multi-hop channel pipeline** — 4 channel hops per token. Not
addressed (medium complexity).
</details>
<details><summary>Test stabilization notes</summary>
`signalWake()` causes the chatd daemon to process chats immediately
after creation/send/edit, which exposed timing assumptions in several
tests that expected chats to remain in `pending` status long enough to
assert on. These tests were updated with `require.Eventually` +
`WaitUntilIdleForTest` patterns to wait for processing to settle before
asserting.
The race detector (`test-go-race-pg`) shows failures in
`TestCreateWorkspaceTool_EndToEnd` and `TestAwaitSubagentCompletion` —
these appear to be pre-existing races in the end-to-end chat flow that
are now exercised more aggressively because processing starts
immediately instead of after a 1s delay. Main branch CI (race detector)
passes without these changes.
</details>
## Problem
The context-usage indicator ring in the agents chat uses a Radix UI
`Tooltip`, which only opens on hover. On mobile/touch devices there is
no hover event, so tapping the indicator does nothing.
## Fix
On mobile viewports (`< 640 px`, matching the existing
`isMobileViewport()` helper), render a `Popover` instead of a `Tooltip`
so that tapping the ring toggles the context-usage info. Desktop
behavior (hover tooltip) is unchanged.
- Extract the trigger button and content into shared variables to avoid
duplication
- Conditionally render `Popover` (mobile) or `Tooltip` (desktop) based
on viewport width
- Both `Popover` and `PopoverContent` were already imported in the file
Short prompts were producing title-generation meta responses such as "I
am a title generator" and prompt-echo titles. This rewrites the
automatic and manual title prompts to be shorter, less self-referential,
and more focused on returning only the title text.
The change also removes the broader post-generation guard layer, updates
manual regeneration to send real conversation text instead of a meta
instruction, and keeps regression coverage focused on the slimmer prompt
contract.
This patch shows the loading spinner on the AI Bridge Sessions table
during pagination. These API calls can take a noticeable amount of time
on dogfood, and without this it shows stale data while the fetch is
fetching.
Claude with the assist 🤖
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-authored-by: Kayla はな <mckayla@hey.com>
Mathias Fredriksson