> 🤖 This PR was written by Coder Agents on behalf of Jake Howell.
## Problem
`main` currently has **two migrations sharing version `000554`**:
- `000554_aibridge_token_usage_spend_export_index.{up,down}.sql`
- `000554_legacy_none_login_to_password.{up,down}.sql` (from #26851)
Both merged around the same time. #26851 was renumbered to `000554` when
`000553` was the latest, but `aibridge_token_usage_spend_export_index`
claimed `000554` and merged too, leaving a duplicate version number on
`main`. Duplicate migration versions break the migration sequence.
## Fix
Renumber the legacy none login migration to the next free slot,
`000555`, leaving the aibridge migration at `000554`:
- `000554_legacy_none_login_to_password.{up,down}.sql` ->
`000555_legacy_none_login_to_password.{up,down}.sql`
- `migrate_test.go`: `TestMigration000554...` ->
`TestMigration000555...`, `priorMigrationVersion` `553` -> `554`, and
the `os.ReadFile` filename.
The migration is data-only and unchanged; only its version number moves.
`TestMigration000555LegacyNoneLoginToPassword` passes locally.
The same collision exists on `release/2.36` via the backport (#27578),
which has been renumbered to `000555` to match.
Resolves [DEVEX-226] follow-up.
[DEVEX-226]: https://linear.app/issue/DEVEX-226
> 🤖 This PR was modified by Coder Agents on behalf of Jake Howell.
Deprecates `login_type=none` (legacy passwordless machine users) in
favour of premium **service accounts**, and migrates existing accounts
off the deprecated path while preserving their identity. Resolves
[DEVEX-226].
## What this does
- **Creation is gated** — `POST /users` and `coder users create` reject
`login_type=none` (and the deprecated `--disable-login`) unless a
service account is requested.
- **Existing users are converted** — migration
`000554_legacy_none_login_to_password` rewrites legacy non-system,
non–service-account `login_type='none'` accounts to
`login_type='password'`. Email addresses are **preserved** and existing
API tokens remain valid. Admins can set a password if interactive login
is desired.
## Why convert to `password` and not `is_service_account`?
Migration `000433_add_is_service_account_to_users` adds two CHECK
constraints:
- `users_email_not_empty`: `(is_service_account = true) = (email = '')`
- `users_service_account_login_type`: `is_service_account = false OR
login_type = 'none'`
Turning a real, email-bearing `login_type=none` user into a service
account would require **blanking their email**. Converting to `password`
instead preserves the account and its email.
> ⚠️ **Breaking / one-way.** The `down` migration cannot restore which
users originally had `login_type='none'`.
Decision log
- **Goal:** move existing `login_type=none` users off the deprecated
path while preserving their identity/email.
- **Constraint discovered:** the `is_service_account` CHECK constraints
(migration `000433`) make a literal `none → service account` conversion
require blanking emails, so this PR converts to `password` instead to
keep emails intact.
- **Implementation:** creation-gating in `cli/usercreate.go` and
`coderd/users.go`, matching test updates, plus the
`000554_legacy_none_login_to_password.{up,down}.sql` migration.
- **CI fix:** the branch was behind `main` and its migration originally
numbered `000534`, which collided with main's
`000534_drop_chat_model_configs_provider`. Merged `main` and renumbered
to `000554` (next free after main's `000553`). `make gen` produces no
drift (the migration is data-only).
> The service-account conversion alternative (#27182, which blanked
emails) was closed in favour of this password-preserving approach.
>
> Docs follow-up: #27333.
[DEVEX-226]: https://linear.app/issue/DEVEX-226
---------
Co-authored-by: Sushant P <zenithwolf1000@users.noreply.github.com>
## Description
Adds `GET /api/v2/organizations/{organization}/ai/spend/export`,
returning `text/csv` with per-user, per-group, per-model, per-provider
aggregated AI spend. The data is built from the raw AI Gateway token
usage tables rather than the `ai_user_daily_spend` rollup, but stays
consistent with it: spend is attributed through the token usage's
effective group and bucketed by the token usage `created_at`, the same
values the daily rollup derives from.
The period defaults to the current UTC month, narrowed to the configured
AI Gateway retention window when the month begins before retained data
does. Explicit `period_start`/`period_end` params must be provided
together, are interpreted as UTC, and may span at most 31 days. Unlike
the default period, an explicit period that begins before the retention
window is rejected rather than narrowed. Every row echoes the applied
bounds, so a narrowed window is visible in the export.
The endpoint requires organization-level admin permissions.
## Changes
- Add the `ExportOrganizationAISpend` query aggregating
`aibridge_token_usages` joined to `aibridge_interceptions`, scoped to
the organization via the effective group, resolving the username, group
name, and organization name alongside their IDs.
- Add the `exportOrganizationAISpend` handler and route, gated by the
`aigateway-cost-control` experiment and the `AIBridge` feature,
returning the CSV in a single response.
- Add the `ExportOrganizationAISpend` codersdk client method.
- Require organization-wide `ResourceGroupMember` read, since the export
aggregates every user in the organization. The per-row filter stays in
`dbauthz` as defence in depth.
- Escape leading formula characters in the free-text columns, so a model
or provider name recorded from an intercepted request cannot be
evaluated when the CSV is opened in a spreadsheet.
- Add an index on `aibridge_token_usages (effective_group_id,
created_at)`, which the period and group predicates otherwise cannot
use.
Closes
https://linear.app/codercom/issue/AIGOV-293/add-csv-export-for-ai-spend-data
> [!NOTE]
> Generated by Coder Agents on behalf of @ssncferreira
## Description
Adds Prometheus metrics for AI budget cost control, emitted by the
aibridged server under the `cost_control` subsystem (full names are
prefixed `coder_ai_gateway_`).
- `blocked_requests_total` (counter) — labels: `group_id`
- `blocked_users` (gauge) — labels: `group_id`
- `unpriced_requests_total` (counter) — labels: `provider`, `model`
- `enforcement_duration_seconds` (histogram) — labels: `outcome`
## Changes
- Add `GetOverBudgetUsersPerGroup` query (plus dbauthz/dbmetrics/dbmock
wiring) to count over-budget users per effective group.
- Add a background collector that refreshes the `blocked_users` gauge on
an interval, started only when Prometheus is enabled.
- Wire `Metrics` through the aibridged server, coderd API,
`cli/server.go`, and the enterprise AI gateway handler; recording is
nil-safe when metrics are unset.
Closes
https://linear.app/codercom/issue/AIGOV-296/add-prometheus-metrics-for-cost-control
> [!NOTE]
> Initially generated by Claude Opus 4.7, modified and reviewed by
@ssncferreira
Adds permission-based license seat counting behind the
`workspace-capable-licensing` experiment. When the experiment is enabled
and a valid license carries the AI Governance add-on, the `user_limit`
feature counts only active users the RBAC engine authorizes to create a
workspace, instead of every active user. Users without workspace-create
capability ("gateway accounts", e.g. AI-Gateway-only users) no longer
consume seats.
## How it works
- A new `GetActiveUsersAuthorizationRoles` bulk query returns effective
roles (implied member roles, org default member roles) and group
memberships for every seat-eligible user (active, not deleted, not
system, not a service account), matching `GetActiveUserCount` semantics.
- `license.CountWorkspaceCapableUsers` evaluates `workspace.create`
against the any-organization object form, which covers site-wide grants,
membership grants, and org-scoped bans in one check. Evaluation is
deduplicated on a sha256 of each user's canonical subject JSON (a fixed
sentinel user ID, sorted deduplicated roles and groups), so cost scales
with unique subjects rather than user count, and every subject field
participates in both the evaluation and the key.
- The AI Governance add-on is only known after license claims are
parsed, so `Entitlements()` passes a lazy `WorkspaceCapableUserCountFn`
(following the `ManagedAgentCountFn` precedent) and
`LicensesEntitlements` resolves it when a validated add-on is present.
Each license's `user_limit` claim becomes a candidate pair of limit and
counting mode, the most favorable pair is selected (see Behavior notes),
and the selected pair's limit, entitlement, and count become the
`user_limit` feature's terms; the warnings read the same values.
`license.Entitlements` gains `logger`, `authorizer`, and `experiments`
parameters.
- All custom roles are prefetched in a single query before evaluation
(new exported `rolestore.PrefetchCustomRoles`), and each count emits one
Info log line (capable count, eligible active users, unique subjects,
elapsed) whose presence identifies the counting mode. The count is
bounded by a 60s timeout.
## Behavior notes
- Without the experiment or without the add-on, the legacy
`GetActiveUserCount` path is unchanged.
- When the mode is active, the over-limit and expired-limit warnings say
"workspace-capable users" instead of "active users", since that is what
was counted.
- With multiple licenses, each license's `user_limit` claim forms a
candidate pair of limit and counting mode (workspace-capable for add-on
licenses, all active users otherwise), and the most favorable pair is
enforced: a pair satisfied by its own count wins over any unsatisfied
one, then higher entitlement, then higher limit. One license's limit is
never combined with another license's counting mode, so a small add-on
license can neither borrow a bigger non-add-on limit nor suppress it.
- Licenses in their grace period still gate the count; it reverts to the
legacy count only on hard expiry. While the add-on exists only on
grace-period licenses, a warning tells admins the counting mode will
revert and states the legacy active-user count they will then be
measured by.
- Count errors (database failures, timeout) abort the entitlements
computation, matching the legacy count's error semantics: the refresh
fails and the caller keeps the previous entitlements rather than a
silently different count. One exception: a stored role string that fails
to parse is logged and treated as not workspace-capable instead of
failing the refresh, since authorization fails closed on such roles
anyway.
- The experiment is deliberately not in `ExperimentsSafe`.
Part of the gateway-accounts feature; no behavior changes for
deployments without the experiment.
## Stack
Part 1 of the gateway-accounts stack. Each PR builds on the previous:
1. **#27279 (this PR)**: permission-based license seat counting. Behind
the `workspace-capable-licensing` experiment and gated on the AI
Governance add-on, `user_limit` counts only users the RBAC engine
authorizes to create workspaces.
2. **#27280**: adds the `organization-ai-gateway-access` org role
carrying the AI Bridge interception permissions (extracted from the
member floors, backfilled into org default roles by migration) and
enforces it at AI Gateway authentication; bridge usage stops claiming AI
Governance seats under the experiment.
3. ~~**#27281**: gates workspace ACL grants on matching member-level
capability (each granted action only takes effect while the recipient
holds that action in the org), so workspace sharing is ineffective for
(and rejected toward) users without workspace capabilities, evaluated
live on every authorization.~~ Tabled — excluded from the
gateway-accounts MVP.
Related but independent: **#27278** hides the Workspaces page create
CTAs for users without workspace-create permission.
## Benchmarks
`BenchmarkCountWorkspaceCapableUsers` (in `usercount_bench_test.go`, run
manually with `go test ./enterprise/coderd/license/ -bench
BenchmarkCountWorkspaceCapableUsers -benchtime 5x -run '^$'` — never
executed by CI) measures the count across user-scale and role-diversity
shapes:
| Scenario | Users | ~Unique subjects | per count |
|---|---|---|---|
| Uniform | 1k | 4 | 8.5ms |
| Uniform | 10k | 4 | 71ms |
| Uniform | 50k | 4 | 344ms |
| ManyOrgs (100 orgs) | 10k | ~200 | 112ms |
| CustomRoles (1000 org-scoped roles) | 10k | ~1000 | 168ms |
| UniquePairs (every user a distinct subject) | 10k | ~10,000 | 2.66s |
Summary:
- **Row-side cost is ~7µs per user, linear** (role parsing, subject
canonicalization, and sha256 per row). The bulk query + subject dedupe
handles 50k users in ~350ms; extrapolated 100k ≈ 0.7s. A non-issue at
the 10-minute refresh cadence.
- **Unique subjects are the dominant axis at ~0.26ms each** (role
expansion + one any-organization rego evaluation per subject). The
worst-case scenario — every user a distinct subject — costs ~2.7s at 10k
users, extrapolating to ~13s at 50k.
- **Realistic deployments sit near the cheap rows.** Subject diversity
tracks orgs × role/group combinations, not user count; only per-user
custom roles or per-user org-membership patterns approach the worst
case.
- Caveat encountered while building the harness: the roles query's plan
depends on accurate table statistics. With stale stats (e.g. right after
a bulk user import, before autovacuum ANALYZEs), the planner picks a
nested-loop plan that re-runs the aggregation per user row — a ~300×
regression (1.08s for 1k users). Fresh statistics restore the hash-join
plan; the harness ANALYZEs after seeding, so the numbers above reflect
the healthy plan.
Implements:
https://linear.app/codercom/issue/AIGOV-289/notify-users-and-admins-on-budget-warning-and-limit-reached
Notify users when their AI spend crosses a budget threshold for their
effective group. Two thresholds are covered: a warning at 85%, and a
limit-reached notification at 100%.
Detection runs on the post-response path, right after the interception's
cost is added to the user's daily spend. It reads the user's AI spend on
the same transaction where token usage is recorded and AI daily spend is
incremented, and derives the pre-interception total by subtracting this
interception's cost. In case of `oldSpend < threshold && newSpend >=
threshold` - notification is sent. A single interception that crosses
both thresholds enqueues both notifications.
Detection and delivery are best-effort: a failure is logged and never
fails usage recording. The payload uses only stable values (the
threshold percentage and the spend limit, not the exact spend), so
duplicate enqueues are deduplicated by the notification system.
The two templates are added via migration and appear in each user's
notification settings under the "AI Budget" group.
Admin notifications (owners and user admins) are a follow-up: #27415.
## Screenshots:
<img width="1102" height="252" alt="image"
src="https://github.com/user-attachments/assets/62291510-09ca-4cdf-a1f5-4bdc11a1db4b"
/>
<img width="466" height="384" alt="image"
src="https://github.com/user-attachments/assets/030460ff-6fe2-4d59-b247-3550c543ef30"
/>
---------
Co-authored-by: Cian Johnston <cian@coder.com>
Stacked on #26657 (the persisted whole-chat summary backend). Base
branch is `chat-summary-62j9`; review/merge that first.
Adds a reusable `ChatSummary` component.
The summary text is the persisted whole-chat summary (`chat.summary`)
introduced by #26657. It is generated asynchronously and may be `null`
until the first summary is produced, in which case the popover renders a
muted empty state. Live updates arrive via that PR's
`chat_summary_change` watch event, which is already merged into the chat
caches.
Cost is served by a new per-chat endpoint, `GET
/api/experimental/chats/{chat}/cost`, which rolls up assistant-message
cost across a chat's root and child (subagent) chats and is authorized
like the other `{chat}` routes (read on the chat, 404 otherwise).
Visual and interaction coverage lives in `ChatSummary.stories.tsx` and
`ChatSummaryPopover.stories.tsx` (including populated-summary,
empty-state, and cost-loading cases).
---------
Co-authored-by: Cursor <cursoragent@cursor.com>
Adds a persisted whole-chat summary that backs the chat summary popover.
A new nullable `chats.summary` column is populated in the background
after a successful root-chat turn and pushed to clients via a new
`chat_summary_change` watch event (distinct from `summary_change`, which
is bound to `last_turn_summary`), so the popover reads `chat.summary`
straight off the loaded `Chat` with no extra query.
This is the data source for the popover and per-chat cost UI built in
#26649; the popover can consume `chat.summary` once this lands (the
field is nullable, so merge order does not matter).
## How it works
- **Generation** runs in the existing successful-turn finalize hook,
detached from the request so the user's turn is never blocked. A cadence
gate generates the first summary after one completed turn, then
regenerates every three turns, using the `chats.summary_generated_at`
freshness marker. Generation reads compaction-aware history, renders it
to a bounded plain-text transcript (short transcripts are skipped), and
asks for a 1-3 sentence summary via structured output. Failures never
clear an existing summary.
- **Staleness** is guarded by `history_version` (mirroring
`last_turn_summary`), so a background write racing a newer turn loses
while worker lifecycle transitions cannot reject a fresh write.
- **Model selection** uses the chat's configured model.
## Deferred to follow-ups
- **Cost accounting**: the `chat_messages.cost_source` discriminator and
summary/title usage recording were removed from this PR so summary
persistence is not blocked by hidden accounting rows advancing
`history_version`. Title usage recording stays on main's
`InsertChatMessages` path.
- **Model override**: deployment-wide summary generation model selection
is split into #26803; the base feature always uses the chat model.
## Notes
- Migration `000540` adds `chats.summary` and
`chats.summary_generated_at`, and recreates `chats_expanded` to expose
the new columns.
- Root chats only; shared viewers pick up the summary on their next
refetch (live watch events are owner-only).
Refs #26649
---------
Co-authored-by: Cursor <cursoragent@cursor.com>
Replaces the `GetUserByID` read used as an authz check in the AI budget-resolution queries with a targeted `authorizeContext` against the user resource. Same RBAC decision, one fewer db query per resolution step.
Follow-up to https://github.com/coder/coder/pull/27364#discussion_r3632577802.
> [!NOTE]
> Initially generated by Claude Opus 4.7, modified and reviewed by @ssncferreira
## Description
Previously, a user with no per-user override and no membership in a budgeted group had no effective group, so their AI spend was attributed nowhere and was, therefore, untracked. This change falls back to the organization's Everyone group when no override or group budget applies.
Since every user in an organization is implicitly a member of that org's Everyone group, spend is now attributed and tracked for any user with organization membership. A user with no organization membership resolves to no group, so their daily spend is not incremented and a warning is logged.
The fallback is unlimited, so enforcement is unaffected: only override and group budgets can block requests. For users in multiple organizations, an existing budget on any Everyone group is still chosen by the "highest" policy; when none is budgeted, the fallback prefers the default org, then orders by organization name.
## Changes
- Add `ResolveUserEffectiveGroup` and the `GetUserEveryoneFallbackGroup` query: resolve override → group budget → Everyone group fallback.
- Attribute token-usage spend and the user AI spend endpoint via the fallback, so unbudgeted users resolve to their Everyone group instead of null.
- Update `GetGroupMembersAISpend` to surface the Everyone fallback as the effective group.
- Update `GetHighestGroupAIBudgetByUser` to break ties by organization name then group name, keeping multi-org resolution deterministic and consistent with the fallback.
- For multi-org users with no budget anywhere, the fallback picks the Everyone group deterministically: prefer the default org, then order by organization name.
Closes https://linear.app/codercom/issue/AIGOV-509/fall-back-to-the-everyone-group-for-spend-attribution
> [!NOTE]
> Initially generated by Claude Opus 4.7, modified and reviewed by @ssncferreira
Add a "Total/blocked network calls" column to the AIBridge sessions
table.
Update `ListAIBridgeSessions` query to calculate network called made and
blocked per session. See query plan
[here](https://explain.dalibo.com/plan/54355c90b165ggb4).
---------
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
Adds a user-triggered `/compact` action for Coder Agents chats: typing
`/compact` in the composer (or picking it from the `/` trigger menu)
summarizes the conversation so far to free up context window space.
## How it works
- New `POST /api/experimental/chats/{chat}/compact` endpoint
(owner-only, RBAC `ActionUpdate`, excluded from the public API reference
via `x-apidocgen skip`). It marks the chat with a durable one-shot
`chats.compaction_requested_at` signal and moves it `waiting -> running`
via a new `RequestCompaction` state transition; no message row is
inserted. AI Gateway attribution needs no per-request key: generation
preparation resolves the owner's synthetic API key (#27170) like any
other turn.
- `RequestCompaction` hands off chat ownership (clears
`worker_id`/`runner_id`) so a worker acquisition hint is published;
since the transition changes no history, the previous runner could
otherwise miss the request under reordered pubsub delivery.
- The background chat worker picks the chat up like any other turn. A
pending manual request takes precedence over turn completion in the
generation decision, and forces compaction even below the automatic
threshold (and when compaction is disabled via threshold=100). The
commit step consumes the request marker in the same transaction; any
transition that ends the turn clears stale markers.
- The summary triplet reuses the automatic-compaction path, now tagged
with a `source` (`automatic` | `manual`) that is plumbed through
streamed progress parts, persisted tool JSON, and the UI label
("Summarized (manual)").
- Validation order: busy chats reject with 409 (state-machine conflict),
empty/already-compacted chats with 409 "nothing to compact", archived
chats with 400; the owner usage-limit check runs last so no-op requests
surface the specific conflict instead of a limit error.
- Web UI: the `/` trigger menu now has a built-in "Commands" group
listing `/compact`; submit intercepts exactly `/compact` and calls the
endpoint instead of sending a message. A personal or workspace skill
named `compact` takes precedence over the built-in command; while skill
collisions are still resolving, an exact `/compact` submission is
blocked with a retryable hint instead of leaking as message text.
History and queued-message edits are never intercepted. After
compaction, the context usage indicator resets to its unknown state
until the next assistant response reports fresh usage, instead of
showing the stale pre-compaction number.
- codersdk: `ExperimentalClient.CompactChat`.
Worker-path execution (rather than compacting synchronously in the
handler) reuses the existing lock fencing, live "Summarizing..."
streaming, retry accounting, restart resilience, and debug-run
observability. Rationale documented in `coderd/x/chatd/ARCHITECTURE.md`.
## Testing
- State machine: transition-matrix coverage for `RequestCompaction`,
marker lifecycle tests (carried by lease renewals/queue appends, cleared
by terminal transitions, consumed by commit), ownership handoff +
acquisition hint assertions.
- Worker: decision-ordering and forced-compaction unit tests;
active-server end-to-end test (manual compact below threshold produces a
`source=manual` summary, returns to `waiting`, no assistant follow-up;
busy chat rejected).
- API: success, archived, non-owner, RBAC-denied, empty-chat, no-daemon
cases; usage-limit ordering (at-limit owners still get
state/nothing-to-compact conflicts for no-op requests, with marker
rollback).
- Frontend: Storybook play tests for the Commands menu group, submit
intercept, skill-name collision, queued-edit passthrough, and
manual/automatic tool rendering; unit tests for command availability
resolution and the post-compaction context usage reset.
> This PR was created by Mux, an AI coding agent, working on Mike's
behalf.
> Mux is working on behalf of Mike.
## Summary
Stop reading and writing the legacy `api_key_id` columns on chat
messages and queued messages, and drop the columns in the same PR.
Runtime AI Gateway attribution continues to use the per-user synthetic
key introduced by #27170.
With the columns gone, `sqlc` generates `database.ChatMessage` and
`database.ChatQueuedMessage` without `api_key_id`, so no transitional
query scaffolding is needed.
Migration `000548` drops the `api_key_id` columns. #27170 already
removed their foreign keys, so the down migration re-adds nullable text
columns without constraints. Previous column values cannot be restored.
Also moves the model config validation in `CreateChat` above the
message-building work so a disabled or invalid model fails fast. On main
this mattered more: the old ordering minted a synthetic API key before
rejecting the request.
Deploy note: replicas still running the previous release write
`api_key_id` on insert, so chat message inserts on old replicas fail
during the rolling window after the column drop. This was previously
split across two PRs to avoid that window; per review feedback the split
added more churn than it was worth for an experimental surface.
Depends on #27170 (merged).
## Description
Adds `GET /api/v2/groups/{group}/members/ai/spend?user_ids=...` (also available org-scoped at `/api/v2/organizations/{org}/groups/{groupName}/members/ai/spend`) to return per-member AI spend attributed to a group, along with each member's effective budget group and the applied spend limit when the queried group is their effective budget source.
In the UI, this endpoint is used alongside the existing `/api/v2/groups/{group}/members` endpoint. AI spend data is kept separate from that endpoint so that:
- Different concepts stay on different endpoints: identity (group members) vs. cost control (spend). Cost control is an additional feature layered on top of groups/orgs.
- Callers that don't need spend information don't pay for its computation.
UI flow:
1. Request `/api/v2/groups/{group}/members` → returns the group's members.
2. Request `/api/v2/groups/{group}/members/ai/spend?user_ids=...` with the IDs from step 1.
**Note:** Only current members of the queried group are returned. `spend_limit_micros` and `limit_source` are populated only when the queried group is the member's effective budget source (its own limit or a user override). `effective_group_id` is null when the member's budget resolves to a group in another organization, since an organization is treated as a tenant boundary.
<img width="2880" height="1904" alt="image" src="https://github.com/user-attachments/assets/33ed395d-d1a3-4b46-bb04-c8d3f41c8886" />
## Changes
- Add `codersdk.GroupMembersAISpend` and `GroupMemberAISpend` types, reusing the shared `AISpendPeriodWindow`.
- Add `GetGroupMembersAISpend` SQL query with a dbauthz per-row filter that mirrors `GET /api/v2/groups/{group}/members`.
- Add handler and routes under `/groups/{group}/members/ai/spend` (and the org-scoped alias) with a required `user_ids` query param (cap 100). Callers with more than 100 members are expected to batch across multiple requests.
- Add codersdk client method.
- Tests: dbauthz, raw SQL, endpoint, and role-access.
Closes https://linear.app/codercom/issue/AIGOV-471/backend-group-members-endpoint-with-members-spend
> [!NOTE]
> Initially generated by Claude Opus 4.7, modified and reviewed by @ssncferreira
## Description
Adds `GET /api/v2/organizations/{org}/groups/ai/spend?group_ids=...` to return per-group AI spend and configured limits for a set of groups in an organization.
In the UI, this endpoint is used alongside the existing `/api/v2/organizations/{org}/groups` endpoint. AI spend data is kept separate from that endpoint so that:
- Different concepts stay on different endpoints: identity (groups) vs. cost control (spend). Cost control is an additional feature layered on top of groups/orgs.
- Callers that don't need spend information don't pay for its computation.
UI flow:
1. Request `/api/v2/organizations/{org}/groups` → returns the organization's groups.
2. Request `/api/v2/organizations/{org}/groups/ai/spend?group_ids=...` with the IDs from step 1.
The groups endpoint from 1) is currently not paginated, but if pagination is added later, this design keeps the two responses in sync. This spend endpoint intentionally takes `group_ids` rather than paginating on its own, since it depends on the group set from step 1. Pagination could be added in the future, especially for Cost Control-focused pages.
<img width="2880" height="1460" alt="image" src="https://github.com/user-attachments/assets/ea83b74d-6a4f-45a6-af2f-1024e019da07" />
## Changes
- Add `codersdk.OrganizationGroupsAISpend` and `OrganizationGroupAISpend` types, plus a shared `AISpendPeriodWindow` embedded in the spend response.
- Add `GetOrganizationGroupsAISpend` SQL query with a dbauthz per-row filter that mirrors `GET /organizations/{org}/groups`.
- Add handler and route under `/organizations/{organization}/groups/ai/spend` with a required `group_ids` query param (cap 100). Callers with more than 100 groups are expected to batch across multiple requests.
- Add codersdk client method.
- Tests: dbauthz, raw SQL, endpoint, and role-access.
Closes https://linear.app/codercom/issue/AIGOV-466/backend-organization-groups-endpoint-with-groups-spend
> [!NOTE]
> Initially generated by Claude Opus 4.7, modified and reviewed by @ssncferreira
Closes
[CODAGT-805](https://linear.app/codercom/issue/CODAGT-805/revoke-oauth-grants-at-the-source-for-mcp-servers).
The experimental MCP server OAuth2 disconnect endpoint previously
deleted only the stored token row, leaving the grant active at the OAuth
provider. This PR adds provider-side token revocation while keeping
local disconnect independent of provider availability.
## Changes
- Add `mcp_server_configs.oauth2_revocation_url` in migration `000547`.
The value can be configured manually, discovered from RFC 8414 metadata,
and managed through the MCP server settings UI. Non-admin responses
redact it with the other OAuth2 fields.
- Revoke the refresh token first through the RFC 7009 endpoint, then
fall back to the access token only for `unsupported_token_type`. Public
clients send `client_id`; confidential clients use
`client_secret_basic`.
- Delete the local token transactionally before best-effort provider
revocation. Callers without a token receive the same response for hidden
and nonexistent config IDs, and provider failures return a generic
warning without exposing provider response bodies.
- Require HTTPS revocation endpoints except for HTTP loopback URLs.
Redirects must preserve the POST and remain on the configured origin.
Redirect errors omit provider-controlled paths and query strings so
reflected token material cannot enter logs.
- Treat `200 OK` and `204 No Content` as completed revocations. `202
Accepted` remains a failure because it does not confirm completion.
- Prevent an in-flight refresh from recreating a token deleted by
disconnect. Refresh persistence now uses an optimistic update keyed by
token ID and `updated_at`; only the OAuth callback can create a token
row. Refresh conflicts reload the current row or clear in-memory auth
when disconnect deleted it.
- Return `{token_revoked, token_revocation_error}` from disconnect,
while retaining SDK compatibility with the legacy `204` response. The UI
surfaces provider revocation failures as warning toasts.
- Document revocation endpoint discovery, HTTPS requirements, and
best-effort disconnect behavior.
No token or no configured revocation URL returns `token_revoked: false`
without an error, so disconnect remains idempotent.
> Updated by Mux, an AI coding agent, on Mike's behalf.
> This Pull Request was updated by Mux working on behalf of Mike.
Adds workspace skills to the agent chat slash menu, sourced entirely
from the chat's pinned context resources (the single-chat GET response
the page already fetches), the same inventory `read_skill` resolves
from. No new API endpoint is introduced.
Personal entries insert `/name`, or `/personal/name` when the name
collides with a workspace skill or the chat's pinned context has not
resolved yet; workspace entries insert `/workspace/name`. Qualified
aliases stay searchable even when the displayed trigger is bare. Before
a chat binds a workspace (new chat form, or a selected but unbound
workspace), the menu lists personal skills only.
Sending a message invalidates the chat detail query, and chatd
broadcasts a context watch event when a first-turn bind pins the chat,
so the menu picks up newly pinned context without a reload.
Makes `UpdateChatWorkspaceBinding` a no-op when the requested
workspace/build/agent binding is unchanged, preserving `updated_at` so
chat list ordering and watch events stay stable.
Includes regression coverage for the no-op binding guard, pinned-context
skill mapping, collision qualification, and skills menu behavior.
Refs
[CODAGT-474](https://linear.app/codercom/issue/CODAGT-474/ux-improvements-for-coder-agents)
(skills autocompleting in the editor).
> Mux is working on behalf of Mike.
## Summary
Add a per-user synthetic API key for chatd AI Gateway attribution. Chatd
resolves the key from the chat owner, extends it before expiry, and
discards the generated bearer token so the key is never a usable
credential.
There is no mapping table. The key is resolved from `api_keys` by a
deterministic token name (`chatd_<owner_id>_session_token`), mirroring
the provisionerd session token model, with three deltas that chatd
needs:
- **Login type guard**: token names are unvalidated user input, so a
user can create a bearer token with the colliding name. The lookup
excludes `login_type = 'token'` rows, so chatd never picks up (or
extends) a real user token. Synthetic keys are minted with the owner's
login type, which is never `token`.
- **In-place expiry extension instead of delete-and-reinsert**: chat
generations have no stop boundary, and an in-flight generation may have
already delegated the current key ID to aibridged. Extending
`expires_at` keeps the key ID stable forever.
- **Advisory-lock mint**: the unique index on token names is partial
(`WHERE login_type = 'token'`), so nothing DB-enforces uniqueness for
synthetic keys. A per-user advisory lock serializes concurrent mints.
Keys carry a minimal scope (`api_key:read`) as defense in depth; the
delegated gateway path never evaluates scopes and the secret is
discarded at mint.
Migration 000544 removes the foreign keys from the legacy message and
queue `api_key_id` columns while chatd continues stamping them for
rolling compatibility. Stale IDs are tolerated because routing uses
`chats.owner_id`. Individual key deletion, delete-all, and password
reset remove the key without changing chat history or queue versions,
and the next lookup remints it. Suspension does not delete the key;
delegated gateway authorization rejects inactive users at request time.
This is the first PR in a three-PR rollout and must be fully deployed
before #27171.
Refs
https://linear.app/codercom/issue/CODAGT-561/maintain-synthetic-api-key-per-user-per-chat
Closes CODAGT-721
Closes CODAGT-722
Closes CODAGT-723
Closes CODAGT-724
Closes CODAGT-725
This PR adds the database and API pieces necessary to support full-text
chat message search.
- Adds required chat schema for full-text search
- Adds dbpurge job to populate search_tsv in the background
- Adds `search` parameter to GetChats query
- Adds `search` filter to `searchquery.Chats`
- Wires chat search filter into chats API
> Implemented by Coder Agents, reviewed and tested by a human.
Closes
[CODAGT-792](https://linear.app/codercom/issue/CODAGT-792/handle-revoked-oauth-grants-for-mcp-servers-gracefully).
When a user revokes an upstream OAuth grant for an MCP server used by
Coder Agents, Coder kept treating the cached token as valid:
`invalid_grant` refresh failures were logged and swallowed, the dead
bearer token kept being attached, the list endpoints re-attempted the
refresh on every call, and the UI kept showing the server as
authenticated.
## Changes
Backend, mirroring the `external_auth_links` prior art:
- New migration adds
`mcp_server_user_tokens.oauth_refresh_failure_reason`.
`UpsertMCPServerUserToken` clears it, so completing the OAuth flow again
recovers the row.
- New `MarkMCPServerUserTokenRefreshFailure` query records the failure
and clears all token material, guarded by an `updated_at` optimistic
lock so a stale failure never clobbers a concurrently refreshed token
(on a lock miss the winner's row is used).
- `mcpclient.IsPermanentRefreshError` classifies `*oauth2.RetrieveError`
codes: only `invalid_grant` and `bad_refresh_token` are permanent.
Client/config errors (`invalid_client`, `unauthorized_client`, ...) stay
transient for the user row since reconnecting cannot fix them.
- chatd token refresh and the MCP list/get endpoints persist permanent
failures, return cleared tokens for the in-flight request, and skip
provider calls for already-failed rows.
- `buildAuthHeaders` no longer attaches an Authorization header for
failed tokens, so chat degrades by omitting that server's tools instead
of sending a dead bearer.
API and UI:
- No new API surface. A permanently failed token simply reports
`auth_connected: false`, so the existing "Auth" button and "Not
authenticated" tooltip appear and the user re-runs the same OAuth flow
to recover. An earlier revision added an `auth_status` enum (`connected`
/ `not_connected` / `reconnect_required`) with a dedicated "Reconnect"
button; it was collapsed to keep the API minimal since both states lead
to the identical re-auth action.
Out of scope (follow-up): typed 401-on-connect detection and forced
refresh. mcp-go exposes no stable typed 401 signal in the static-header
path, so a revocation while the access token still looks valid locally
stays undetected until expiry triggers a refresh.
## Testing
- Unit and integration tests: classifier, chatd refresh paths
(permanent/transient/race/persist-failure), API endpoints (revoked,
transient, no-retry caching, re-auth recovery, stale-lock), dbauthz,
dbcrypt, migrations.
- Dogfood UAT against a dev instance with a mock IdP returning
`invalid_grant`: revoked grant detected on refresh and persisted once
(no repeated IdP calls), chat with the revoked server selected completes
with the server's tools omitted, and re-auth restores the connected
state.
> This PR was authored by Mux, working on Mike's behalf.
Closes CODAGT-736
Concurrent chat model config writes on a deployment with no default all
elect themselves default: at READ COMMITTED neither transaction sees the
other's uncommitted default, so both self-promote and
`idx_chat_model_configs_single_default` rejects the loser as a spurious
409. The coderd Terraform provider hits this routinely, since a single
`terraform apply` creates or deletes many configs in parallel by design.
The fix serializes the election with a transaction-scoped advisory lock:
the create, update, and delete handlers run their default election
inside a transaction that first takes `pg_advisory_xact_lock` on a
dedicated `LockIDChatModelConfigDefault`, so elections run one at a time
and the index is never contended. The partial unique index stays in
place as the schema-level invariant, and the existing 409 mapping
remains as a backstop for any writer that bypasses the lock.
We considered a singleton pointer table (one row holding a
`model_config_id` FK, making a second default unrepresentable), which
would remove the race outright, but it needs a migration, new queries,
dbauthz rules, and handler/read-path rework. Not proportionate for an
experimental endpoint.
> 🤖 This PR was written by Coder Agents on behalf of Jake Howell.
Closes
[DEVEX-381](https://linear.app/codercom/issue/DEVEX-381/flake-test-tasksendwaitsforworkingappstate).
Follow-up to #25648 and #25858, which addressed a different symptom of
the same test.
## Symptom
```
task_send_test.go:348: context expired while waiting for trap: context deadline exceeded
--- FAIL: Test_TaskSend/WaitsForWorkingAppState (26.02s)
```
Windows-only, on `test-go-pg (windows-2022)`. Reported four times since
#25648 landed (2026-06-02, 2026-06-10, 2026-07-01).
## Root cause
The test:
1. `setupCLITaskTest` inserts `workspace_app_status(state=idle)` at the
end of setup.
2. `WaitsForWorkingAppState` then inserts
`workspace_app_status(state=working)` before starting the CLI.
3. Both are persisted via `dbtime.Now()`, which rounds to microseconds.
Windows `time.Now()` resolution is coarser than that (often ~1 ms or
worse), so back-to-back calls frequently round to the same microsecond.
4. `GetLatestWorkspaceAppStatusesByWorkspaceIDs` has no tiebreaker:
```sql
ORDER BY workspace_id, created_at DESC
```
Its sibling `GetLatestWorkspaceAppStatusByAppID` already uses `ORDER BY
created_at DESC, id DESC` for exactly this reason. When the two rows
collide, Postgres picks either.
5. On the failing runs, the query returned the `idle` row.
`waitForTaskIdle` saw idle on the first poll, returned nil, `TaskSend`
proceeded, and the CLI completed successfully in ~5 s.
6. But the test was blocked at `resetTrap.MustWait(ctx)` waiting for a
**second** `ticker.Reset` that never happened. `WaitLong = 25s` elapsed,
line 348 failed.
CI log confirms the sequence: only one `Ticker.Reset(5s)` is caught,
then `Ticker.Stop([]) call, matched 0 traps` (from `defer
ticker.Stop()`), then the trap wait times out.
This is the same class of flake Spike documented in #15923 and #21332
("Windows in particular doesn't have high-resolution timers"), just
hidden behind a SQL `ORDER BY`.
## Fix
Two changes:
1. **`coderd/database/queries/workspaceapps.sql`**: add an `id DESC`
tiebreaker to `GetLatestWorkspaceAppStatusesByWorkspaceIDs`, matching
`GetLatestWorkspaceAppStatusByAppID`. Makes the query deterministic when
`created_at` collides.
2. **`cli/task_test.go` / `cli/task_send_test.go`**: add a
`withoutInitialAppStatus()` option to `setupCLITaskTest` and use it from
`WaitsForWorkingAppState`. The test now inserts a single `working` row,
so the collision cannot happen in the first place. Belt-and-braces with
change 1.
Comments in both places reference DEVEX-381 and #21332 so the next agent
doesn't have to re-derive this.
## Verification
- `go test ./cli -run 'Test_TaskSend' -count=1`: all 12 subtests pass,
`WaitsForWorkingAppState` completes in ~5.6 s (was ~16 s previously due
to a longer poll loop).
- Stress: 20 sequential runs of `WaitsForWorkingAppState` on Linux,
race-enabled binary, all pass in ~5.5 s each.
- `go test ./coderd -run 'AppStatus|Task' -count=1` passes.
- `go vet ./coderd/database/... ./cli/...` clean.
- `make lint/emdash` clean.
- `gofmt` clean.
Not reproducible on Linux (real time between the two patches is orders
of magnitude larger than microsecond); the Windows path is fixed by
making the ordering deterministic and by not creating the collision in
the first place.
<details>
<summary>Implementation plan & decision log</summary>
### Investigation
1. Pulled the failing job log for run `28483879823/job/84428355669`.
2. Traced the mock-clock trap sequence: one `NewTicker` and exactly one
`Ticker.Reset(5s)` were caught, then `Ticker.Stop([]) call, matched 0
traps` fires (the `defer ticker.Stop()` on `waitForTaskIdle` return).
This proves `waitForTaskIdle` returned after a single poll, not that the
trap machinery hung.
3. The command exited with `<nil>` (`clitest.go:299: command "coder task
send" exited with error: <nil>`) and a `POST /send` completed in 5.4 s.
So the CLI succeeded; the test's own trap wait is what timed out.
4. The only `waitForTaskIdle` return-nil paths are `Active +
CurrentState.State in {Idle, Complete, Failed}` and `Active +
CurrentState == nil past 30s grace`. First observation of nil cannot be
past 30s. So `TaskByID` must have returned `State == Idle`.
5. Traced `TaskByID` → `taskGet` → `workspaceData` →
`GetLatestWorkspaceAppStatusesByWorkspaceIDs`. Found the missing
tiebreaker; the sibling query one line above
(`GetLatestWorkspaceAppStatusByAppID`) already had it.
6. Confirmed the two `PATCH /app-status` calls in the Windows log
happened at `00:26:13.077` and `00:26:13.093`, well within Windows timer
resolution.
7. Confirmed `dbtime.Now()` rounds to microseconds; Windows `time.Now()`
doesn't have that precision, so `Round(time.Microsecond)` on two calls
close together frequently produces equal values.
### Prior art from Spike
- #15923: loosened `HeartbeatPeriod * 9/10` to `3/4` for Windows.
- #21332: switched `assert.After` to `assert.NotBefore` because
timestamps can equal on Windows.
Both explicitly cite "Windows doesn't always have high-resolution timers
available."
### Considered alternatives
- **Only fix the test.** Works today but leaves the SQL query
non-deterministic; another test that relies on
`GetLatestWorkspaceAppStatusesByWorkspaceIDs` could hit the same
collision.
- **Only fix the SQL query.** Would give a stable answer but not
necessarily the *right* one. If both patches share a `created_at`, `id
DESC` picks whichever UUID sorted higher, still random with respect to
insertion order.
- **Make `dbtime.Now()` monotonic per process.** Cleanest at the source,
but affects every timestamp in the database and has broader implications
than a targeted flake fix.
Going with both the query fix (defense in depth, matches existing
pattern) and the test fix (eliminates the collision at the source) is
the smallest change that closes the flake and hardens the query.
### Rejected commit-message scopes
Changes touch both `cli/` and `coderd/database/`, so per AGENTS.md the
scope is omitted for the cross-cutting commit and PR title.
</details>
The chatd state machine only recognizes `waiting`, `running`, `error`,
`requires_action`, and `interrupting`. Remove the unused `pending`,
`paused`, and `completed` values from the database enum, backend, SDK,
frontend, generated queries, and API docs.
Migration `000543_chat_status_remove_unused` remaps existing `pending`
rows to `running`, remaps `paused` and `completed` rows to `waiting`,
drops the obsolete `idx_chats_pending` index, and recreates
`chats_expanded` around the enum swap. It also removes the dead
`AcquireChats` query and all remaining query literals for the deleted
statuses.
**NOTE**: The enum swap can break chat queries from older replicas
during a mixed-version rollout because they still reference
`'pending'::chat_status`. Chats are experimental, so this PR accepts
that limited rollout window instead of adding a two-release expand and
contract sequence.
> This PR was authored by Mux (AI agent) on Mike's behalf.
Categorises the terminal error of a failed interception and persists it
on the interception record, then surfaces it on the AI Gateway API.
- Categorise into an enum (`bad_request`, `unauthorized`,
`rate_limited`, `overloaded`, `server_error`, `unknown`), unwrapping
the ResponseError envelope, the upstream Anthropic/OpenAI SDK errors,
and key-pool exhaustion so blocking and streaming paths agree.
- Thread the type and raw message through the recorder dRPC into the
`aibridge_interceptions` row (optional proto fields; NULL on success).
- Expose the error on the AI Gateway thread API from the root
interception.
*This PR was produced by opencode (agent) using the `anthropic/claude-opus-4-8` model, under human direction and review.*
Adds a nullable `aibridge_interception_error_type` enum and an
`error_message` column to `aibridge_interceptions`, so a failed
interception's terminal upstream error can be persisted.
Schema only: the write path and API exposure land in the stacked
backend PR.
*This PR was produced by opencode (agent) using the `anthropic/claude-opus-4-8` model, under human direction and review.*
Closes https://linear.app/codercom/issue/CODAGT-268
## Problem
The chat UI collapses large pastes (>=10 lines or >=1000 chars) into a
synthetic `pasted-text-*.txt` attachment. A chat created with only such
an attachment had no title input anywhere: the create path derived
`titleSource` only from text and file-reference parts (so the chat was
named "New Chat"), async auto-titling extracted text the same way and
silently skipped generation, and the manual propose/regenerate paths
returned an empty title for the same reason. The regular prompt path
already inlines these files for the model; only the title paths were
blind.
## Fix
Add a single title-input derivation in `chatprompt` and use it
everywhere:
- `chatprompt.TitleText` joins text and file-reference parts (unchanged
formatting), and falls back to synthetic pasted-text attachment content
(truncated to a 16 KiB title budget) when they yield nothing.
- `chatprompt.SyntheticPasteFileIDs` identifies paste attachments;
`chatprompt.FallbackTitle` consolidates the previously duplicated
`chatTitleFromMessage` / `fallbackChatTitle`.
- Chat creation captures paste blob references while validating file
parts (the file row was already loaded there) and derives `titleSource`
via `TitleText`. Only the create path derives titles; message send and
edit reuse the same validation without copying any blob data.
- `GenerateChatTitleAsync` and the manual propose/regenerate paths
resolve paste content via `titlePasteText`, which only queries when a
visible user message has no other title text, so chats with typed text
never incur a file fetch.
- Title-path paste fetches are bounded: a new
`GetChatFileDataPrefixesByIDs` query returns only a `substr` prefix
(`chatprompt.TitlePasteBytePrefix`, 64 KiB = 4 bytes x the 16 Ki-rune
title budget) so full blobs (up to 10 MiB each) never leave the database
for titling, and `chatprompt.TitlePasteText` applies the same bound to
the create path which already holds the loaded row.
Deliberate side effect: because generation-time extraction now matches
create-time `titleSource` exactly, file-reference-only chats also become
eligible for AI titles. They were previously skipped by the same
derivation mismatch.
Non-goals: no frontend changes (attachment chip UX stays as is), and
non-synthetic user-uploaded `.txt` files still yield "New Chat".
## Testing
- Unit tests for `TitleText`, `TitlePasteText`, `SyntheticPasteFileIDs`,
`FallbackTitle`, `titleInput`, `titlePasteText`, and paste-aware
`extractManualTitleTurns`.
- Real-database test for `GetChatFileDataPrefixesByIDs` (prefix shorter
and longer than stored data) plus dbauthz coverage for the new query.
- Integration tests: paste-only create gets a fallback title from the
paste content, async title generation fires with the paste content as
input, and `RegenerateChatTitle` works on a paste-only chat.
> This PR was written by [Mux](https://mux.coder.com) on Mike's behalf.
Removes the `UpdateChatMessageByID` query. Its only non-generated
reference was its own dbauthz coverage test, so it is dead code.
> Generated by Coder Agents on behalf of @johnstcn.
This models restart as durable orchestration of existing stop and
start workspace builds instead of adding a new restart transition.
Keeping restart as two existing transitions preserves the current
build/provisioner model.
The child start build is created only after the parent stop build
succeeds, rather than being inserted immediately in a pending
state. That keeps `workspace_builds` aligned with actual
provisioner-ready work and avoids introducing a second
pending-build lifecycle that the provisioner and build acquisition
paths would need to understand.
Refs: https://linear.app/codercom/issue/PLAT-143
User Admin password resets could update the target user's hashed
password but fail while revoking that user's API keys. The transaction
then rolled back and returned HTTP 500, so the password was never
changed.
Add a user-scoped API key revoker actor and use it in both password
reset flows so key revocation succeeds without broader system auth.
Refs: https://linear.app/codercom/issue/PLAT-316
## Problem
The Generate button in the chat Rename dialog (POST
`/api/experimental/chats/{chat}/title/propose`) could fail in ways
unrelated to actual concurrent title generation:
- The manual title lock returned 409 for any `pending` chat and any
`running` chat without a worker. Legacy `pending` rows are never
acquired by workers, so those chats 409'd forever. Running chats are
unowned in the normal window between message submission and worker
acquisition (indefinitely when runners are down), producing spurious
409s.
- A missing default chat model config surfaced as a generic 500, and the
dialog hid the actionable cause carried in the error detail.
## Fix
Backend (`coderd/x/chatd`, `coderd`, `coderd/database`):
- Remove the manual title lock entirely. Races between title writers are
already resolved by `recordManualTitleUsage`, which re-reads the chat
under `GetChatByIDForUpdate` and only persists the generated title when
it is unchanged since the request snapshot, so concurrent regenerates
and renames settle by last write wins. The lock only suppressed
duplicate model calls (the dialog already disables the button in flight,
and usage limits bound spend), and its synthetic `worker_id` marker was
the source of the spurious 409s. The 409 responses, the marker and
staleness handling, and the now-unused
`UpdateChatStatusPreserveUpdatedAt` query are gone.
- New `ErrNoDefaultChatModelConfig` sentinel mapped to 400 "No default
chat model config is configured." in both title endpoints, matching the
POST `/chats` precedent.
Frontend (`site`):
- The Rename dialog error alert now renders the API error detail under
the message, reading `error.response.data.detail` directly so
detail-less API errors do not show the generic developer-console hint.
- Removed the dead regenerate-title UI plumbing (`onRegenerateTitle`
outlet wiring and the `regeneratingTitleChatIds` spinner pipeline). The
Rename dialog propose flow is the only live title-generation UX; the
endpoint, codersdk methods, and the `api.ts`/`queries/chats.ts` layer
are kept for API consumers.
## Tests
- chatd internal: a strict-mock test pinning the compare-and-swap guard
(a concurrently changed title must not be clobbered by a generated one),
plus the existing persist-and-broadcast coverage without lock
transactions.
- HTTP: `PendingWithoutWorker` expects 200 for both endpoints,
`NoDefaultModelConfig` (400) subtests, a stopped-workspace propose
regression, and an `Unauthenticated` propose subtest.
- Storybook: stories asserting the API error detail renders in the
dialog alert, and that detail-less API errors and plain errors do not
leak the developer-console hint.
> Authored by Mux on Mike's behalf.
---------
Co-authored-by: Mathias Fredriksson <mafredri@gmail.com>
Removes OpenAI Responses "chain mode" from chatd. Closes CODAGT-445.
- Deletes `chatopenai/responses.go` (chain detection, activation, prompt filtering, response ID extraction) and its tests.
- Deletes the `ChainBroken` classification in `chaterror` and the chatloop retry bookkeeping that disabled chain mode mid-generation.
- Drops the `chain_broken` label from the `coderd_chatd_stream_retries_total` metric.
- Stops reading and writing `chat_messages.provider_response_id`
- Deletes the dead `ClearChatMessageProviderResponseIDsByChatID` query. Dropping the column is a follow-up migration.
- Deletes three chatloop hooks no caller sets (`ReloadMessages`, `DisableChainMode`, `PrepareMessages`), the dead `const AgentChatContextSentinelPath`, and stale chain-mode comments.
🤖 Generated by Coder Agents on behalf of @johnstcn.
## Summary
Plumbs the Responses output item id (added as `ToolUsageRecord.ItemID` in #26855) through to the database, captured independently of the `provider_tool_call_id` correlation key. Hosted tools (`web_search_call`, etc.) only have an item id; agentic tools have both.
`provider_item_id` is specific to the OpenAI Responses API; it stays empty for chat completions and Anthropic messages, which have no separate item id.
## Changes
- Migration `000534`: nullable `provider_item_id` column on `aibridge_tool_usages`.
- Proto: `item_id` field 11 on `RecordToolUsageRequest`.
- Server handler: persists `provider_item_id` and adds it to structured logging.
- Translator: maps `ToolUsageRecord.ItemID` to the proto field.
## Tests
- `TestRecordToolUsageProviderItemID`: real-database round-trip asserting `provider_item_id` persists for both hosted and agentic tools, independently of `provider_tool_call_id`.
Stacked on #26855. Linear: AIGOV-96
---
_This PR was produced by opencode (agent) using the_ _`anthropic/claude-opus-4-8`_ _model, under human direction and review._
## Description
Adds pre-request AI budget enforcement to `aibridged`. Requests are rejected with HTTP 403 when the user's aggregated spend for the current period has reached their effective limit.
## Changes
- Add `IsBudgetExceeded` RPC to `aibridgedserver`. Resolves the user's effective budget, aggregates spend over the caller-supplied `[period_start, now]` window, and returns whether the limit has been reached along with the effective limit.
- Wire the check into `aibridged`'s HTTP handler. The caller computes the period start (monthly for now) and passes it in the request.
- Reject exceeded requests with HTTP 403 Forbidden and a message directing the user to contact an administrator.
- Add `dbtime.StartOfMonth` alongside `StartOfDay` for period computation.
- Add real-DB tests covering the enforcement path: month-boundary excludes prior-period spend, and a new user override unblocks a previously-exceeded user.
Closes https://linear.app/codercom/issue/AIGOV-428/add-pre-request-budget-enforcement
> [!NOTE]
> Initially generated by Claude Opus 4.7, modified and reviewed by @ssncferreira
The provider type already lives authoritatively in ai_providers.type,
reachable on every active row through ai_provider_id, which the
chat_model_configs_ai_provider_required_when_active CHECK makes
mandatory. The stored provider string was a denormalized copy the system
kept in sync with a startup backfill and no longer needs.
Every surface now derives provider type from the linked ai_providers
row. Telemetry is the one exception: it keeps emitting provider, now
sourced from ai_providers.type via a JOIN, so the BigQuery column and the
Nexus dashboards that read it are unaffected. The experimental HTTP/SDK
response drops provider and makes ai_provider_id required, since those
endpoints return only active configs; consumers resolve provider type
from ai_provider_id and the AI providers listing.
This ships in a single release with no compatibility window: production
reads the table via SELECT *, so a pre-drop binary fails config reads the
moment the column is gone. Operators must scale to zero before upgrading,
and there is no rollback.
Closes CODAGT-599
Configuring only a GitHub Copilot provider left the Agents page stuck on
"set up a provider then add a model", even with a provider and models
configured. The catalog dropped any provider type that NormalizeProvider
did not recognize, so a Copilot-only deployment looked identical to an
empty one and never unlocked the page.
The Agents harness cannot use Copilot: it needs a per-request token only
an official Copilot client can mint, and the harness is not one. Instead
of dropping such providers, the catalog now reports them as unsupported
so the UI can explain the dead end and point elsewhere, rather than ask
for setup that already happened. The providers stay usable through the
AI Gateway proxy.
Support is derived from the provider type, not stored, so there is no
migration. codersdk.IsAgentsUnsupportedProviderType is the single source
of truth, consulted by the chatd catalog and, through the generated
AgentsUnsupportedProviderTypes list, the frontend.
The diff also carries unrelated modernization of nearby db2sdk and
chatprovider helpers (slices.SortFunc, strings.Cut, range-over-int).
Closes CODAGT-627
Refs CODAGT-256
Refs CODAGT-682
Rename user-facing "AI Bridge" strings to "AI Gateway" in deployment
config, RBAC display names, log messages, error strings, docs style
guide, and Grafana dashboard README.
Deprecated option names and descriptions (the `--aibridge-*` block) are
intentionally kept as "AI Bridge". The `Name` field cannot be renamed
because `serpent` uses it as a unique key during JSON serialization;
duplicating names causes `UnmarshalJSON` failures (e.g. in the support
bundle). Descriptions also stay as "AI Bridge" to avoid confusion
between the deprecated and primary options.
Refs https://linear.app/codercom/issue/AIGOV-226
> Generated with the assistance of Coder Agents (@ssncferreira)
Renames the `last_used_at` column to `last_heartbeat_at` in `ai_gateway_keys` table.
`ai_gateway_keys` table has not been released yet.
All references updated.
Jake Howell