Adds coderd_template_workspace_build_duration_seconds histogram that
tracks the full duration from workspace build creation to agent ready.
This captures the complete user-perceived build time including
provisioning and agent startup.
The metric is emitted when the agent reports ready/error/timeout via the
lifecycle API, ensuring each build is counted exactly once per replica.
Previously, UpsertBoundaryUsageStats (INSERT...ON CONFLICT DO UPDATE) and
GetAndResetBoundaryUsageSummary (DELETE...RETURNING) could race during
telemetry period cutover. Without serialization, an upsert concurrent with the
delete could lose data (deleted right after being written) or commit after the
delete (miscounted in the next period). Both operations now acquire
LockIDBoundaryUsageStats within a transaction to ensure a clean cutover.
Task snapshots were orphaned when tasks were soft-deleted. The
`task_snapshots` table has an `ON DELETE CASCADE` foreign key, but
that only fires on hard deletes.
Modified DeleteTask to use a CTE that atomically soft-deletes the
task and removes its snapshot in a single transaction. The query now
returns just the task UUID instead of the full row.
Closescoder/internal#1283
Previously there were two issues that could cause incorrect boundary
usage telemetry data.
1. Bad handling across snapshot intervals: After telemetry snapshot deleted
the DB row, the next flush would INSERT the stale cumulative data (which
included already-reported usage). This would then be overwritten by
subsequent UPDATE flushes, causing the delta between the last snapshot
and the reset to be lost (under-reporting usage). Additionally, if there
was no new usage after the reset, the tracker would carry over all usage
from the previous period into the next period (over-reporting usage).
2. Missed usage from a race condition: Track() calls between the first
mutex unlock and second mutex lock in FlushToDB() were lost. The data
wasn't included in the current flush (already snapshotted) and was wiped
by the subsequent reset. This is likely low impact to overall usage
numbers in the real world.
Fix by tracking unique workspace/user deltas separately from cumulative
values and always tracking delta allowed/denied requests. Deltas are used
for INSERT (fresh start after reset), cumulative for UPDATE (accurate unique
counts within a period). All counters reset atomically before the DB operation
so Track() calls during the operation are preserved for the next flush.
feat: add boundary usage telemetry database schema and RBAC
Adds the foundation for tracking boundary usage telemetry across Coder
replicas. This includes:
- Database schema: `boundary_usage_stats` table with per-replica stats
(unique workspaces, unique users, allowed/denied request counts)
- Database queries: upsert stats, get aggregated summary, reset stats,
delete by replica ID
- RBAC: `boundary_usage` resource type with read/update/delete actions,
accessible only via system `BoundaryUsageTracker` subject (not regular
user roles)
- Tracker skeleton + docs: stub implementation in `coderd/boundaryusage/`
The tracker accumulates stats in memory and periodically flushes to the
database. Stats are aggregated across replicas for telemetry reporting,
then reset when a new reporting period begins. The tracker implementation
and plumbing will be done in a subsequent commit/PR.
---------
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
This change adds a POST /workspaceagents/me/tasks/{task}/log-snapshot
endpoint for agents to upload task conversation history during
workspace shutdown. This allows users to view task logs even when the
workspace is stopped.
The endpoint accepts agentapi format payloads (typically last 10
messages, max 64KB), wraps them in a format envelope, and upserts to the
task_snapshots table. Uses agent token auth and validates the task
belongs to the agent's workspace.
Closescoder/internal#1253
Removes the legacy tailnet v1 API tables (`tailnet_clients`, `tailnet_agents`, `tailnet_client_subscriptions`) and their associated queries, triggers, and functions. These were superseded by the v2 tables (`tailnet_peers`, `tailnet_tunnels`) in migration 000168, and the v1 API code was removed in commit d6154c4310, but the database artifacts were never cleaned up.
**Changes:**
- New migration `000410_remove_tailnet_v1_tables` to drop the unused tables
- Removed 11 unused queries from `tailnet.sql`
- Removed associated manual wrapper methods in `dbauthz` and `dbmetrics`
- ~930 lines deleted across 11 files
Agents were losing authentication during workspace shutdown, causing
shutdown scripts to fail. The auth query required agents to belong to
the latest build, but during shutdown a `stop` build becomes latest while
the `start` build's agents are still running.
Modified the auth query to allow `start` build agents to authenticate
temporarily during `stop` execution. The query allows auth when:
- Agent's `start` build job succeeded
- Latest build is `stop` with `pending`/`running` job status
- Builds are adjacent (`stop` is `build_number + 1`)
- Template versions match
Auth closes once `stop` completes.
Renamed `GetWorkspaceAgentAndLatestBuildByAuthToken` to
`GetAuthenticatedWorkspaceAgentAndBuildByAuthToken` since it returns the
agent's build (not always latest) during shutdown.
Closes coder/internal#1249
Fixes#19467
Relates to https://github.com/coder/internal/issues/1214
The `ExtractWorkspaceAgentParam` middleware ends up making 4 database
queries to follow the chain of `WorkspaceAgent` -> `WorkspaceResource`
-> `ProvisionerJob` -> `WorkspaceBuild` -- but then dropping all that
hard work on the floor. The `api.workspaceAgent` handler that references
this middleware then has to do all of that work again, plus one more
query to get the related `User` so we can get the username. This pattern
is also mirrored in `getDatabaseTerminal` but without the middleware.
This PR:
* Adds a new query `GetWorkspaceAgentAndWorkspaceByID` to fetch all
this information at once to avoid the multiple round-trips,
* Updates the existing usage of `GetWorkspaceAgentByID` to this new
query instead,
* Updates `ExtractWorkspaceAgentParam` to also store the workspace in
the request context
Dalibo: [0.63ms](https://explain.dalibo.com/plan/40bb597f3539gc6c)
Adds a per-organization setting to disable workspace sharing. When enabled,
all existing workspace ACLs in the organization are cleared and the workspace
ACL mutation API endpoints return `403 Forbidden`.
This complements the existing site-wide `--disable-workspace-sharing` flag by
providing more granular control at the organization level.
Closes https://github.com/coder/internal/issues/1073 (part 2)
---------
Co-authored-by: Steven Masley <Emyrk@users.noreply.github.com>
Previously setting AI Bridge retention to 0 would cause records to be
deleted immediately since we didn't check for the zero value before
calculating the deletion threshold.
This adds a check for aibridgeRetention > 0 to skip deletion when
retention is disabled, matching the pattern used for other retention
settings (connection logs, audit logs, etc.).
Also fixes the return type of DeleteOldAIBridgeRecords from int32 to
int64 since COUNT(*) returns bigint in PostgreSQL.
Refs #21055
Replace hardcoded 7-day retention for workspace agent logs with
configurable retention from deployment settings. Defaults to 7d to
preserve existing behavior.
Depends on #21038
Updates #20743
Add configurable retention policy for audit logs. The DeleteOldAuditLogs
query excludes deprecated connection events (connect, disconnect, open,
close) which are handled separately by DeleteOldAuditLogConnectionEvents.
Disabled (0) by default.
Depends on #21021
Updates #20743
Add `DeleteOldConnectionLogs` query and integrate it into the `dbpurge`
routine. Retention is controlled by `--retention-connection-logs` flag.
Disabled (0) by default.
Depends on #21021
Updates #20743
## Problem
Users may not realize that task notifications are disabled by default.
To improve awareness, we show a warning alert on the Tasks page when all
task notifications are disabled.
**Alert visibility logic:**
- Shows when **all** task notification templates (Task Working, Task
Idle, Task Completed, Task Failed) are disabled
- Can be dismissed by the user, which stores the dismissal in the user
preferences API
- If the user later enables any task notification in Account Settings,
the dismissal state is cleared so the alert will show again if they
disable all notifications in the future
<img width="2980" height="1588" alt="Screenshot 2025-11-25 at 17 48 17"
src="https://github.com/user-attachments/assets/316bf097-d9d2-4489-bc16-2987ba45f45c"
/>
## Changes
- Added a warning alert to the Tasks page when all task notifications
are disabled
- Introduced new `/users/{user}/preferences` endpoint to manage user
preferences (stored in `user_configs` table)
- Alert is dismissible and stores the dismissal state via the new user
preferences API endpoint
- Enabling any task notification in Account Settings clears the
dismissal state via the preferences API
- Added comprehensive Storybook stories for both TasksPage and
NotificationsPage to test all alert visibility states and interactions
Closes: https://github.com/coder/internal/issues/1089
## Description
This PR fixes an issue where `GetLatestWorkspaceAppStatusesByAppID`
returned an unbounded number of rows for a given app ID, which could
cause performance issues for noisy or long-running AI tasks.
## Impact
This change reduces database query overhead for workspace app status
updates, particularly for busy AI tasks that update their status
frequently. Previously, fetching the latest status would return all
historical statuses, now it returns only the most recent one.
Fixes#20862
---
🤖 This change was written by Claude Sonnet 4.5 Thinking using [mux](https://github.com/coder/mux) and reviewed by a human 🏄🏻♂️
This PR adds the backend implementation for modifying task prompts. Part
of https://github.com/coder/internal/issues/1084
## Changes
- New `UpdateTaskPrompt` database query to update task prompts
- New PATCH `/api/v2/tasks/{task}/prompt` endpoint
## Notes
This is part 1 of a 2-part PR stack. The frontend UI will be added in a
follow-up PR based on this branch
(https://github.com/coder/coder/pull/20812).
---
🤖 PR was written by Claude Sonnet 4.5 Thinking using [Coder
Mux](https://github.com/coder/cmux) and reviewed by a human 👩
* Adds a `GetTaskByOwnerIDAndName` query
* Updates `httpmw.TaskParam` to fall back to task name if no task by
UUID found.
* Updates the `TaskByIdentifier` used in `cli/` to use direct lookup instead of searching.
## Description
The membership reconciliation ensures the prebuilds system user is a
member of all organizations with prebuilds configured. To support
prebuilds quota management, each organization must have a prebuilds
group that the system user belongs to.
## Problem
Previously, membership reconciliation iterated over all presets to check
and update membership status. This meant database queries
`GetGroupByOrgAndName` and `InsertGroupMember` were executed for each
preset. Since presets are unique combinations of `(organization,
template, template version, preset)`, this resulted in several redundant
checks for the same organization.
In dogfood, `InsertGroupMember` was called thousands of times per day,
even though memberships were already configured ([internal Grafana
dashboard link](https://grafana.dev.coder.com/goto/46MZ1UgDg?orgId=1))
<img width="5382" height="1788" alt="Screenshot 2025-10-28 at 16 01 36"
src="https://github.com/user-attachments/assets/757b7253-106f-4f72-8586-8e2ede9f18db"
/>
## Solution
This PR introduces `GetOrganizationsWithPrebuildStatus`, a single query
that returns:
* All unique organizations with prebuilds configured
* Whether the prebuilds user is a member of each organization
* Whether the prebuilds group exists in each organization
* Whether the prebuilds user is in the prebuilds group
The membership reconciliation logic now:
* Fetches status for all organizations in one query
* Only performs inserts for organizations missing required memberships
or groups
* Safely handles concurrent operations via unique constraint violations
* This reduces database load from `O(presets)` to `O(organizations)` per
reconciliation loop, with a single read query when everything is
configured.
## Changes
* Add `GetOrganizationsWithPrebuildStatus` SQL query
* Update `membership.ReconcileAll` to use organization-based
reconciliation instead of preset-based
* Update tests to reflect new behavior
Related to internal thread:
https://codercom.slack.com/archives/C07GRNNRW03/p1760535570381369
## Description
PR https://github.com/coder/coder/pull/20387 introduced canceling
pending prebuild jobs from inactive template versions to avoid
provisioning obsolete workspaces. However, the associated prebuilds
remained in the database with "Canceled" status, visible in the UI.
This PR now orphan-deletes these canceled prebuilt workspaces. Since the
canceled jobs were never processed by a provisioner, no Terraform
resources were created, making orphan deletion safe.
Orphan deletion always creates a provisioner job, but behaves
differently based on provisioner availability:
- If no provisioner daemon is available, the job is immediately marked
as completed and the workspace is marked as deleted without any
provisioner processing
- If a provisioner daemon is available, it processes the delete job with
empty Terraform state (no actual resources to destroy)
The job cancellation and workspace deletion occur atomically in the same
transaction. We don't split this into two separate reconciliation runs
because there's no way to distinguish between system-canceled prebuilds
and user-canceled workspaces. If we deleted canceled workspaces in a
later run, we'd delete user-canceled workspaces that users may want to
keep for troubleshooting.
Note: This only applies to system-generated prebuilds from inactive
template versions.
## Changes
* Update `UpdatePrebuildProvisionerJobWithCancel` query to return job
ID, workspace ID, template ID, and template version preset ID
* Add `DeprovisionMode` enum to support orphan deletion in the provision
flow
* Update `ActionTypeCancelPending` handler to cancel jobs and
orphan-delete associated workspaces atomically
- Adds a new table to keep track of which payloads have already been
reported since we only report for the last clock hour
- Adds a query to gather and aggregate all the data by
provider/model/client
Relates to https://github.com/coder/coder-telemetry-server/issues/27
## Description
This PR introduces an optimization to automatically cancel pending
prebuild-related jobs from non-active template versions in the
reconciliation loop.
## Problem
Currently, when a template is configured with more prebuild instances
than available provisioners, the provisioner queue can become flooded
with pending prebuild jobs. This issue is worsened when
provisioning/deprovisioning operations take a long time.
When the prebuild reconciliation loop generates jobs faster than
provisioners can process them, pending jobs accumulate in the queue.
Since prebuilt workspaces should always run the latest active template
version, pending prebuild jobs from non-active versions become obsolete
once a new version is promoted.
## Solution
The reconciliation loop cancels pending prebuild-related jobs from
non-active template versions that match the following criteria:
* Build number: 1 (initial build created by the reconciliation loop)
* Job status: `pending`
* Not yet picked up by a provisioner (`worker_id` is `NULL`)
* Owned by the prebuilds system user
* Workspace transition: `start`
This prevents the queue from being cluttered with stale prebuild jobs
that would provision workspaces on an outdated template version that
would consequently need to be deprovisioned.
## Changes
* Added new SQL query `CountPendingNonActivePrebuilds` to identify
presets with pending jobs from non-active versions
* Added new SQL query `UpdatePrebuildProvisionerJobWithCancel` to cancel
jobs for a specific preset
* New reconciliation action type `ActionTypeCancelPending` handles the
cancellation logic
* Cancellation is non-blocking: failures to cancel prebuild jobs are
logged as errors and don't prevent other reconciliation actions
## Follow-up PR
Canceling pending prebuild jobs leaves workspaces in a Canceled state.
While no Terraform resources need to be destroyed (since jobs were
canceled before provisioning started), these database records should
still be cleaned up. This will be addressed in a follow-up PR.
Closes: https://github.com/coder/coder/issues/20242
This PR uses the same sha256 hashing technique as we use for APIKeys. So
now all randomly generated secrets will be hashed with sha256 for
consistency.
This is a breaking change for the oauth tokens. Since oauth is only
allowed for dev builds and experimental, this is ok.
- Adds FK from `aibridge_interceptions.initiator_id` to `users.id`
- This is enforced by deleting any rows that don't have any users. Since
this is an experimental feature AND coder never deletes user rows I
think this is acceptable.
- Adds `name` as a property on `codersdk.MinimalUser`
- This matches the `visible_users` view in the database. I'm unsure why
`name` wasn't already included given that `username` is.
- Adds a new `initiator` field to `codersdk.AIBridgeInterception` which
contains `codersdk.MinimalUser` (ID, username, name, avatar URL)
- Removes `initiator_id` from `codersdk.AIBridgeInterception`
- Should be fine since we're still in early access
Necessary for the frontend to be able to paginate easily. Cursor
pagination is good for fetching all events, but doesn't play very well
when a pagination component gets involved.
Adds support for `?offset=x` to the existing endpoint. The cursor-based
pagination (`?after_id=x`) is still supported. The two pagination modes
are mutually exclusive, and are documented as such. If both are
supplied, the request will be rejected.
Also adds a `total` property to the response that contains the full
count of items matching the filter. We already have indices in place so
I don't think this will impact performance (or we can revisit it before
GA).
aid in differentiation between sources of calls to `GetWorkspaces` but introducing new queries for metrics specific use cases
---------
Signed-off-by: Callum Styan <callumstyan@gmail.com>
This change updates the `task_workspace_apps` table structure for
improved linking to workspace builds and adds queries to manage tasks
and a view to expose task status.
Updates coder/internal#948
Supersedes coder/coder#20212
Supersedes coder/coder#19773
## Description
Send a notification to the workspace owner when an AI task’s app state
becomes `Working` or `Idle`.
An AI task is identified by a workspace build with `HasAITask = true`
and `AITaskSidebarAppID` matching the agent app’s ID.
## Changes
* Add `TemplateTaskWorking` notification template.
* Add `TemplateTaskIdle` notification template.
* Add `GetLatestWorkspaceAppStatusesByAppID` SQL query to get the
workspace app statuses ordered by latest first.
* Update `PATCH /workspaceagents/me/app-status` to enqueue:
* `TemplateTaskWorking` when state transitions to `working`
* `TemplateTaskIdle` when state transitions to `idle`
* Notification labels include:
* `task`: task initial prompt
* `workspace`: workspace name
* Notification dedupe: include a minute-bucketed timestamp (UTC
truncated to the minute) in the enqueue data to allow identical content
to resend within the same day (but not more than once per minute).
Closes: https://github.com/coder/coder/issues/19776
Closes https://github.com/coder/internal/issues/885
Adds a new database method GetProvisionerJobByIDWithLock that uses FOR
UPDATE without SKIP LOCKED to fix workspace build cancellation returning
500 errors when jobs are locked.
* provisionerdserver: Expires prebuild user token for workspace, if it
exists, when regenerating session token.
* dbauthz: disallow prebuilds user from creating api keys
* dbpurge: added functionality to expire stale api keys owned by the
prebuilds user
This PR should resolve https://github.com/coder/internal/issues/719 by
limiting the `workspace_builds` rows selected by the query to the most
recent 100 builds of a template, as opposed to all builds in the last
30d. For our own internal templates with the most builds (1700-2000 in a
30d period) this should cut the query execution time by about 80%.
Unless we have some restriction on keeping the 30d period, contract
related or otherwise, this seems like a safe change to make. In addition
to the execution speed improvements it also means the memory for the
query is bounded as well.
If we want to keep a 30d time period for the avg build time value I
think it's worth exploring a purpose built solution such as histogram
structures where the build times could be bucketized by template ID as
they're observed.
---------
Signed-off-by: Callum Styan <callumstyan@gmail.com>
- Removes GetManagedAgentCount query
- Adds new table `usage_events_daily` which stores aggregated usage
events by the type and UTC day
- Adds trigger to update the values in this table when a new row is
inserted into `usage_events`
- Adds a migration that adds `usage_events_daily` rows for existing data
in `usage_events`
- Adds tests for the trigger
- Adds tests for the backfill query in the migration
Since the `usage_events` table is unreleased currently, this migration
will do nothing on real deployments and will only affect preview
deployments such as dogfood.
Closes https://github.com/coder/internal/issues/943
## Description
This PR introduces one counter and two histograms related to workspace
creation and claiming. The goal is to provide clearer observability into
how workspaces are created (regular vs prebuild) and the time cost of
those operations.
### `coderd_workspace_creation_total`
* Metric type: Counter
* Name: `coderd_workspace_creation_total`
* Labels: `organization_name`, `template_name`, `preset_name`
This counter tracks whether a regular workspace (not created from a
prebuild pool) was created using a preset or not.
Currently, we already expose `coderd_prebuilt_workspaces_claimed_total`
for claimed prebuilt workspaces, but we lack a comparable metric for
regular workspace creations. This metric fills that gap, making it
possible to compare regular creations against claims.
Implementation notes:
* Exposed as a `coderd_` metric, consistent with other workspace-related
metrics (e.g. `coderd_api_workspace_latest_build`:
https://github.com/coder/coder/blob/main/coderd/prometheusmetrics/prometheusmetrics.go#L149).
* Every `defaultRefreshRate` (1 minute ), DB query
`GetRegularWorkspaceCreateMetrics` is executed to fetch all regular
workspaces (not created from a prebuild pool).
* The counter is updated with the total from all time (not just since
metric introduction). This differs from the histograms below, which only
accumulate from their introduction forward.
### `coderd_workspace_creation_duration_seconds` &
`coderd_prebuilt_workspace_claim_duration_seconds`
* Metric types: Histogram
* Names:
* `coderd_workspace_creation_duration_seconds`
* Labels: `organization_name`, `template_name`, `preset_name`, `type`
(`regular`, `prebuild`)
* `coderd_prebuilt_workspace_claim_duration_seconds`
* Labels: `organization_name`, `template_name`, `preset_name`
We already have `coderd_provisionerd_workspace_build_timings_seconds`,
which tracks build run times for all workspace builds handled by the
provisioner daemon.
However, in the context of this issue, we are only interested in
creation and claim build times, not all transitions; additionally, this
metric does not include `preset_name`, and adding it there would
significantly increase cardinality. Therefore, separate more focused
metrics are introduced here:
* `coderd_workspace_creation_duration_seconds`: Build time to create a
workspace (either a regular workspace or the build into a prebuild pool,
for prebuild initial provisioning build).
* `coderd_prebuilt_workspace_claim_duration_seconds`: Time to claim a
prebuilt workspace from the pool.
The reason for two separate histograms is that:
* Creation (regular or prebuild): provisioning builds with similar time
magnitude, generally expected to take longer than a claim operation.
* Claim: expected to be a much faster provisioning build.
#### Native histogram usage
Provisioning times vary widely between projects. Using static buckets
risks unbalanced or poorly informative histograms.
To address this, these metrics use [Prometheus native
histograms](https://prometheus.io/docs/specs/native_histograms/):
* First introduced in Prometheus v2.40.0
* Recommended stable usage from v2.45+
* Requires Go client `prometheus/client_golang` v1.15.0+
* Experimental and must be explicitly enabled on the server
(`--enable-feature=native-histograms`)
For compatibility, we also retain a classic bucket definition (aligned
with the existing provisioner metric:
https://github.com/coder/coder/blob/main/provisionerd/provisionerd.go#L182-L189).
* If native histograms are enabled, Prometheus ingests the
high-resolution histogram.
* If not, it falls back to the predefined buckets.
Implementation notes:
* Unlike the counter, these histograms are updated in real-time at
workspace build job completion.
* They reflect data only from the point of introduction forward (no
historical backfill).
## Relates to
Closes: https://github.com/coder/coder/issues/19528
Native histograms tested in observability stack:
https://github.com/coder/observability/pull/50
Closes https://github.com/coder/coder/issues/18356.
This change finds and selects a matching preset if one was not chosen
during workspace creation. This solidifies the relationship between
presets and parameters.
When a workspace is created without in explicitly chosen preset, it will
now still be eligible to claim a prebuilt workspace if one is available.
Jon Ayers