Relates to CODAGT-713
This adds `templates.agents_allowed` as a default-true, auditable template attribute, along with nullable database filtering. Migration `000562` translates the effective legacy `agents_template_allowlist` state for existing templates: a valid nonempty list allows matching templates and blocks the rest, missing or empty values leave templates allowed, whilst corrupt values fail closed by blocking all existing templates. As per the linear issue, new templates deliberately default to allowed under the per-template model.
This is the database-only first PR in the stack. #27285 makes the field authoritative in the API and chatd whilst temporarily retaining the compatibility routes needed by the shipped frontend. Later PRs migrate the UI, remove the legacy storage, routes, SDK types, and utility, then add CLI flags.
## Stack Context
This stack makes AI Gateway data and budgets the source of truth for AI
spend controls.
1. Re-back the per-chat cost endpoint with AI Gateway data (#27328,
merged).
2. Remove native chat usage limits (#27329, merged).
3. **This PR, now based on `main`:** remove native chat cost tracking
and its dedicated admin UI.
## Summary
Removes native per-message price calculation, model pricing fields, cost
persistence, aggregate cost queries, and admin cost API types. It also
deletes the Analytics and Spend pages plus their legacy redirects. The
AI Gateway-backed per-chat cost row and compact budget indicators
remain.
The spend documentation is renamed to `spend-management.md` and updated
for the remaining surfaces, group budget APIs, CSV export, upgrade
handling for native pricing and cost history, and the absence of a
deployment-wide spend dashboard. The per-chat cost API documents that
data follows AI Gateway retention and reports zero after all matching
requests are purged.
No schema is dropped in this release. `chat_messages.total_cost_micros`
remains nullable and unwritten so replicas from the previous release can
continue inserting messages during rolling upgrades. #27600 tracks
removal after the compatibility window.
> Mux prepared this PR on Mike's behalf.
closes CODAGT-839
closes CODAGT-843
closes CODAGT-773
## Summary
Adds a new heartbeat usage event type, `hb_agent_runtime_v1`, measuring
the total agent-loop runtime of Coder Agents (chats) per UTC hour, plus
a reconciler that generates one event per hour with self-healing
backfill over a trailing 7-day window. Events flow to Tallyman through
the existing publisher unchanged. This measures the new Coder Agents
(the `chats` tables), not the deprecated Tasks counted by
`dc_managed_agents_v1`.
Independent of #27508, which fixes the dead ai-seats cron registration.
Both PRs carry the identical `usage_event` create permission hunk for
the usage-publisher subject (this feature's generator and the ai-seats
cron each need it for heartbeat inserts), so they can land in either
order and the overlap merges cleanly.
> [!WARNING]
> **Do not include this in a release until Tallyman accepts
`hb_agent_runtime_v1`.** The publisher marks permanently rejected events
as done-forever, and the generator then sees those buckets as complete
locally, so their usage would be silently and permanently lost.
## Details
Each event's payload is `{"runtime_ms": N}`: the sum of
`chat_messages.runtime_ms` for messages created in the hour bucket `[H,
H+1)`, across all chats (sub-agents, API-created, archived, and
soft-deleted messages included). Events use deterministic IDs
(`hb_agent_runtime_v1:<bucket start>`) with `created_at` set to the
bucket start, so concurrent replicas race safely via `ON CONFLICT (id)
DO NOTHING` without locking, and daily rollups attribute backfilled
hours to the correct day. Idle hours produce zero-valued events. A
bucket becomes eligible 5 minutes after it closes; hours missing for
longer than the 7-day window are forfeited, which can only undercount.
Note that this makes `usage_events.created_at` explicitly the *event
occurrence time* rather than the row insertion time; the two only
diverge for backfilled events. It already behaved as the occurrence
timestamp (it drives the daily rollup day and is shipped to
Tallyman/Metronome as the event timestamp), and the migration now
documents this with a `COMMENT ON COLUMN`, which also surfaces as a Go
doc comment on `UsageEvent.CreatedAt`.
The new `usage.Generator` runs unconditionally in enterprise builds; the
`publish_usage_data` license flag continues to gate egress only, so
air-gapped deployments still fill their local ledger. The
`aggregate_usage_event()` trigger sums `runtime_ms` per day into
`usage_events_daily` (unlike `hb_ai_seats_v1`, which takes the daily
max).
`InsertHeartbeatUsageEvent` now takes an explicit `createdAt` so
generators can backfill historical buckets; the cron passes
`clock.Now()` to preserve its existing behavior.
## Tallyman follow-up
<details>
<summary>Prompt for the Tallyman-repo agent</summary>
> **Task**: Add support for the new Coder usage event type
`hb_agent_runtime_v1` so Tallyman accepts, validates, and forwards it to
Metronome.
>
> **Background**: coder/coder PR (this PR) adds hourly heartbeat events
measuring Coder Agent runtime. Events arrive via the existing
`/api/v1/events/ingest` endpoint with: `event_type:
"hb_agent_runtime_v1"`, `event_data: {"runtime_ms": <int64 >= 0>}`,
deterministic `id` of the form `hb_agent_runtime_v1:2026-07-15_14:00:00`
(UTC hour bucket start), and `created_at` set to the bucket start (may
be up to ~8 days in the past due to backfill; within Metronome's 34-day
dedup window). Zero-value events are normal (idle hours).
>
> **Work**:
> 1. Update Tallyman's vendored/imported `coderd/usage/usagetypes` (or
equivalent) to the coder/coder commit that adds
`UsageEventTypeHBAgentRuntimeV1` and `HBAgentRuntime`.
> 2. Ensure ingestion validation accepts the type (`Valid()` switches)
and rejects negative `runtime_ms`.
> 3. Ensure Metronome forwarding maps the event with transaction ID
derived from the event `id` as for existing types, passing `runtime_ms`
through as the property for a SUM-aggregated billable metric ("Coder
Agent Hours" = `SUM(runtime_ms) / 3,600,000`).
> 4. Do NOT permanently reject unknown-but-well-formed future `hb_*`
types if avoidable; at minimum confirm current behavior for unknown
types (temporary vs permanent rejection) and report it.
> 5. Tests: ingest accept/validate, dedup by ID, Metronome payload
mapping.
>
> **Constraint**: this must be deployed to tallyman-prod **before** any
coder/coder release containing the event generator; coderd treats
permanent rejections as terminal per event.
</details>
## Stack context
Follows #27495 (merged), which gives `chat_messages.id` an append-order
guarantee and moves the history reads onto it. This PR applies the same
fix to the query that builds the model prompt.
## Why?
`GetChatMessagesForPromptByChatID` mixed two orderings. It selected the
compaction boundary with `created_at DESC, id DESC`, then applied that
boundary with an `id >` comparison, and returned rows with `created_at
ASC, id ASC`.
`created_at` is `now()`, so it is the transaction start time. Every row
in one insert batch shares it, and concurrent transactions can commit in
the opposite order to the one they started in. Two consequences, both
reaching the provider:
- **Malformed prompts.** A tool result could be ordered ahead of the
assistant message that requested it.
`chatprompt.injectMissingToolResults` does not repair this: it only
handles tool rows already contiguous after an assistant row, and adds
missing results. It never moves a tool row that precedes its assistant,
and nothing re-sorts the rows in Go.
- **Wrong compaction boundary.** The boundary is picked by timestamp but
compared by id, so a stale compressed summary could be retained while
the actual latest one was dropped.
## Changes
Both the boundary CTE and the outer query order by `id`. The `id >`
predicate is unchanged, which is the point: the ordering now matches the
comparison that was always being made.
**The boundary index was dead, so it is rebuilt to match.**
`idx_chat_messages_compressed_summary_boundary` was created for exactly
this lookup, but its predicate requires `role = 'system'` while
compaction writes its summary with the user role
(`message_conversion.go:334`, the only writer of `compressed = true`).
It matched zero rows, and no other query can use it. Migration `000560`
rebuilds it as `(chat_id, id DESC) WHERE compressed AND NOT deleted AND
visibility = 'model'`, which also matches the new order key.
Measured on PostgreSQL 13 with a 20k-message chat, 11 summaries, and 14
sibling chats so `chat_id` is selective:
| boundary lookup | plan | buffers |
|---|---|---|
| old predicate | Index Scan `idx_chat_messages_chat`, 19,989 rows
filtered | 267 |
| rebuilt index | Index Only Scan | 2 |
Not in scope: the outer `SELECT` still inspects every row of the chat,
because its `role = 'system' AND compressed = FALSE` disjunct has no
lower `id` bound. That predates this PR and needs a query rewrite rather
than an index.
## Testing
Two subtests, both verified red by reverting the `ORDER BY` and
regenerating:
- `OrdersByIDWhenTimestampsDisagree` returned `[4,3,2,1]` instead of
`[1,2,3,4]`, placing the tool result before the assistant call.
- `CompactionBoundaryUsesID` selected the stale summary and leaked the
messages between the two summaries into the prompt.
Existing subtests pass unchanged. Migration up/down tests pass, and the
rebuilt index was verified red-green: restoring the old predicate
returns the plan to a 267-buffer scan, and the old predicate matches 0
rows in the fixture.
> Opened by Mux on behalf of Mike.
## Problem
The organization groups page showed each group's AI budget as the
group's per-member limit, so the total it displayed was effectively
group members × group budget. That ignores per-user budget overrides
charged to the group, so a group where one member has an override
reported a limit that doesn't match what its members can actually spend.
## Changes
- Add `total_spend_limit_micros` to the organization groups AI spend
payload, the combined budget of the members attributed to the group,
with each member's override replacing their share.
- Return `null` for the total when the group has no budget, since its
members spend without a cap.
- Both the organization groups and single group spend endpoints report
the new field, as they share the same query.
- Use the total as the denominator on the groups page AI budget column.
Depends on #27568
Chat message ordering was derived from `created_at`, which is `now()`
and therefore the transaction start time. That makes it unusable as an
append-order column for two independent reasons: every row in one
`InsertChatMessages` batch shares a single timestamp, and two concurrent
transactions can commit in the opposite order to the one they started
in.
This PR gives `chat_messages.id` a real append-order guarantee and moves
the history reads onto it.
## Changes
**`InsertChatMessages` had no input-order guarantee.** Callers index the
returned slice by input position. That only worked because PostgreSQL
happens to evaluate the `BIGSERIAL` default in row order. Ids are now
allocated up front and the k-th smallest is assigned to input index k,
so the pairing does not depend on where the column default is evaluated.
Returned rows are explicitly `ORDER BY id`.
**Three history reads now order by `id`.**
| Query | Was | Now |
|---|---|---|
| `GetChatMessagesByChatID` | `created_at ASC` | `id ASC` |
| `GetChatMessagesByRevisionForStream` | `created_at ASC, id ASC` | `id
ASC` |
| `GetLastChatMessageByRole` | `created_at DESC, id DESC` | `id DESC` |
`GetChatMessagesByChatID` paginated by `id` while ordering by
`created_at`, which is incoherent on its own terms.
The other two matter because of who consumes them. The stream query
supplies incremental updates on the same socket that emits a full
`GetChatMessagesByChatID` snapshot on history reset, so once that
snapshot moved to `id` the two disagreed under timestamp skew.
`GetLastChatMessageByRole` returns an id that is then used as an id
cursor, both as `AfterID` when synthesizing tool cancellations and as
`chats.last_read_message_id`, where a stale anchor leaves later
assistant messages permanently unread.
A tie-breaker would not have fixed either one. It only resolves equal
timestamps; leading with `created_at` is the actual defect.
**`GetLastChatMessageByRole` loses its index, so this adds one.** `ORDER
BY created_at DESC, id DESC` could take an ordered scan of
`idx_chat_messages_chat_created`. Nothing in the schema can supply
`ORDER BY id DESC LIMIT 1` for a given `chat_id` and `role`, so the
planner switches to a backward scan of the primary key and filters every
newer row in the table, scanning all of it when the chat has no message
in that role, which is the routine case for a fresh chat. Migration
`000559` adds `(chat_id, role, id DESC) WHERE deleted = false`, the same
shape as the existing `idx_chat_messages_user_prompts`. This matters
because the query is hot: it runs on every stream connect and
disconnect, and once per turn when synthesizing tool cancellations.
`GetChatMessagesForPromptByChatID` has the same defect and is fixed in
the stacked PR, because its compaction boundary change is semantic and
deserves a separate review. Auto-archive stays timestamp-based
deliberately: it measures activity, not order.
Wrapping the insert in a CTE (needed because `INSERT` cannot take `ORDER
BY`) makes sqlc synthesize `InsertChatMessagesRow`. It is structurally
identical to `ChatMessage`, so the call sites use a direct struct
conversion that stops compiling if the two ever diverge.
## Testing
Behavior tests write `created_at` values inverted against id order, so a
reader that leads with `created_at` returns the batch backwards. All
three queries were verified red by reverting the `ORDER BY` and
regenerating: the stream query returned `[3,2,1]` for `[1,2,3]`, and
`GetLastChatMessageByRole` picked id 1 instead of id 3.
`TestInsertChatMessagesOrderContract` asserts against the generated SQL,
covering what a behavior test cannot: PostgreSQL evaluates the id
default in row order anyway, so a batch still looks ordered once the
guarantee is removed.
`TestChatMessagesSequenceCacheIsOne` guards the cross-batch half of the
invariant. Ids follow chat row lock order only while the sequence hands
out one value at a time; sequence cache blocks are per session, so with
a cache above one a backend holding stale cached values can lock second
and still commit lower ids. Bumping a sequence cache is an ordinary
throughput tweak, and it would silently corrupt history order.
The index was checked on a 200k row fixture. Without it, the zero-match
lookup filters all 200,000 rows over 2763 buffers; with it, the plan is
an index scan with both `chat_id` and `role` in the index condition, no
sort node, and 3 buffers.
Note that the within-batch mapping does not depend on the cache size. It
is established by `ROW_NUMBER() OVER (ORDER BY id)` over the allocated
ids, so it holds regardless of `nextval` evaluation order.
## Note on the deleted subagent hand-sort
The subagent history reader's hand-sort stays deleted, but calling it
redundant was imprecise. It sorted by `created_at` then `id`, so it is
only equivalent to `id` ordering when the two agree. When they disagree
the old code selected a different "latest assistant". This is a
deliberate behavior change to match the new invariant, not dead-code
removal.
> Opened by Mux on behalf of Mike.
A workspace proxy hostname prefix could be accepted as a valid proxy
access URL. An authenticated user could then be redirected to an
attacker-controlled domain with an application-connect API key in the
URL.
Require proxy access URL matches to have a hostname boundary after the
candidate hostname, allowing only the end of the URL, a port, or a
path.
Add regression coverage for proxy access URL and wildcard hostname
prefixes.
Refs: https://linear.app/codercom/issue/PLAT-384
---------
Co-authored-by: Bobby Ho <bobbidinho@gmail.com>
Users can now disable a secret to stop it from being injected into
workspaces without deleting it, and re-enable it later. Disabled secrets
stay visible and editable everywhere they already appear.
An enabled secret must have at least one injection target; a secret with
no target can be stored only while disabled. Existing target-less secrets
are migrated to disabled to preserve current behavior.
Support spans the REST API, SDK, CLI, dashboard, and audit log.
## 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.
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>
## 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
> 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
> 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).
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.
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.*
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.
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
## 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.
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
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.
Adds DB methods`GetAIGatewayKeyIDByHashedSecret` and `UpdateAIGatewayKeyLastUsedAt`.
`GetAIGatewayKeyIDByHashedSecret` - returns AI Gateway key ID by hashed secret value.
`UpdateAIGatewayKeyLastUsedAt` - updates last used timestamp for given AI Gateway key.
Used by standalone AI Gateway for authentication and keeping track of currently used keys.
Removes the coder agents PR Insights page (`/agents/settings/insights`) and all of its backend support. The page had previously been hidden and was only reachable via deep link. It had previously been hidden due to the dubious value provided in the current iteration.
Adds `ai` to sqlc's `gen.go.initialisms` in `coderd/database/sqlc.yaml`
so the generated DB code follows Go's initialism convention. Adds the
matching `ai` -> `AI` case to the dbgen PascalCase helper
(`scripts/dbgen/main.go`) so the corresponding `dbmem` / mock
identifiers stay in sync. `make gen` regenerates the rest; hand-written
call sites that consume DB-generated identifiers
(`enterprise/audit/table.go`, `coderd/database/modelmethods.go`,
`enterprise/coderd/aigatewaykeys.go`, `coderd/database/dbauthz/*`, etc.)
are updated to match.
Scope is deliberately limited to the database layer:
- `coderd/rbac/*` (resource and scope generators) is untouched —
`ResourceAi*` / `ScopeAi*` constants stay on main's casing.
- `codersdk/*` (Go SDK) is untouched — `codersdk.ResourceAi*` /
`codersdk.APIKeyScopeAi*` constants stay on main's casing, so external
Go SDK consumers see no source-level break.
- `Aibridge*` identifiers (one SQL token `aibridge`, not `ai_bridge`)
are out of scope.
On-the-wire values are unchanged: enum strings, RBAC resource type
strings, API key scope strings, and JSON tags all stay the same. The
HTTP/JSON surface is unaffected.
Refs:
[AIGOV-369](https://linear.app/codercom/issue/AIGOV-369/change-ai-references-in-coderddatabasemodelsgo-to-ai)
🤖 Generated with [Coder Agents](https://coder.com)
Foundation for the Workspace Context Sources RFC (phase 3). The agent
push (#25983) and coderd snapshot storage (#26145) already persist
per-agent context snapshots; this PR lands the **chat-side storage**
plus the **`agentapi` push trigger** that a follow-up will use to read
them. It does **not** touch `chatd` and changes no behavior — nothing
wires an implementation yet.
## What changed
- Adds four nullable columns to `chats` — `context_aggregate_hash`,
`context_dirty_since`, `context_dirty_resources`, and `context_error` —
and rebuilds the `chats_expanded` view.
- Adds three queries — `SetChatContextSnapshot`,
`HydrateAgentChatsContext`, `MarkChatsContextDirtyByAgent` — with
`dbauthz` wrappers and `audit` entries. They are store-interface methods
covered by a Postgres test (`TestChatContextHydration`).
- Adds the `agentapi.ContextDirtyMarker` interface and invokes it inside
the `PushContextState` transaction, publishing collected events only
after commit.
## Intentionally inert
There are **no production callers** of the three queries and **no
implementation** wired for `ContextDirtyMarker`, so the push trigger is
dormant. This is deliberate: the PR is the durable storage/query
foundation only.
The actual integration — the `chatd` implementation that
hydrates/dirties chats and backs a refresh endpoint, consuming the
pinned context in prompt building, the rich SDK types + UI, and retiring
the live per-turn pull — lands as a single follow-up PR. Splitting this
way keeps the schema/query layer reviewable on its own and keeps the
integration whole in one place.
Refs #25983, #26145.
<details>
<summary>Decision log</summary>
- **Columns over a side table.** The four `chats` columns are the
durable model (accepting the one-time `chats_expanded` view/CTE churn).
`last_injected_context` is deliberately left untouched — it is
load-bearing for the live per-turn context pull.
- **Keep `agentapi`, drop `chatd`.** The earlier revision wired the
hydrate/dirty implementation through `chatd` and added a `PUT
/chats/{chat}/context` refresh endpoint. Those were removed so this PR
is pure foundation; `agentapi` defines the trigger + interface (it does
not import `chatd`), and the `chatd` implementation arrives with the
full integration.
- **No new experiment flag.** The columns are dark and unread by prompt
building.
- **Authz.** The new query wrappers authorize chat updates under the
chat RBAC object / `ResourceChat`, consistent with the existing system
chat mutators.
</details>
---
🤖 Generated by Coder Agents on behalf of @kylecarbs.
Replaces the v2.10 `PushContextState` stub with a real coderd write
path. Phase 1 of the chat-side persistence story; nothing reads these
rows yet.
Follows [#25983](https://github.com/coder/coder/pull/25983) and unblocks
[CODAGT-569](https://linear.app/codercom/issue/CODAGT-569/enable-agent-api-v210-pushcontextstate-bump-currentminor-wire-coderd).
## What ships
### Schema (`000517_workspace_agent_context.{up,down}.sql`)
Two new tables plus `api_key_scope` enum extensions:
- `workspace_agent_context_snapshots` (PK `workspace_agent_id` to
`workspace_agents(id) ON DELETE CASCADE`): one row per agent,
overwritten per push. Holds `version`, `schema_version`,
`aggregate_hash`, `snapshot_error`, `received_at`.
- `workspace_agent_context_resources` (PK `(workspace_agent_id,
source)`): per-resource state. `body_kind` and `status` are `TEXT` +
`CHECK` so adding new wire kinds (the RFC's reserved
PLUGIN/HOOK/SUBAGENT/COMMAND) is a one-line CHECK update plus a Go
switch case.
### SQLC queries (`coderd/database/queries/workspaceagentcontext.sql`)
- `UpsertWorkspaceAgentContextSnapshot`
- `UpsertWorkspaceAgentContextResource`
- `DeleteStaleWorkspaceAgentContextResources`
(delete-where-source-not-in)
- `GetLatestWorkspaceAgentContextSnapshot`
- `ListWorkspaceAgentContextResources`
### Handler (`coderd/agentapi/context.go`)
`ContextAPI` is a new sub-API. `PushContextState`:
1. Rejects `schema_version > 1` with a non-`Unimplemented` error so a
forward-incompatible agent fails loudly during rollout instead of
slipping into the permanent fallback path the `Unimplemented`
translation reserves for old coderd deployments.
2. Validates resources: no empty/duplicate sources, every variant maps
to a known body kind, every status maps to a known enum value, the
`Body` oneof is set (even when status is non-OK, mirroring the wire
guarantee so coderd can attribute failures to a known kind).
3. Inside `Database.InTx`, reads the existing snapshot. If the push is
not `initial` and `version` is not strictly greater, returns `accepted =
false` and leaves stored state untouched. Otherwise upserts the snapshot
row, upserts each resource, then runs the stale-source prune so the
snapshot and resource rows always agree.
4. Returns `accepted = true` on success.
Resource bodies are stored as `protojson(body oneof variant)` in `body
JSONB` with `body_kind` as the discriminator. Adding a new field to an
existing variant is zero work since `protojson` tolerates new fields;
adding a new variant is a CHECK + switch case.
### RBAC + dbauthz
- New `ResourceWorkspaceAgentContext` (Create/Read/Update/Delete).
- New `SubjectTypeAgentContext` plus `subjectAgentContext` system role
and `dbauthz.AsAgentContext` helper. The push handler elevates to this
subject; the agent's own role does not get direct write access to the
table.
- New `workspace_agent_context:*` API key scopes registered in the enum
migration; internal-only (not added to `externalLowLevel`).
### Audit
These rows are agent-pushed state, not user-authored. They are
intentionally not added to `AuditActionMap` and not enumerated in
`enterprise/audit/table.go`, matching `boundary_logs`,
`workspace_agent_memory_resource_monitor`, etc. `enterprise/audit` tests
pass unchanged.
## Tests
- `coderd/agentapi/context_test.go`: 12 subtests covering
accepts/rejects (schema version, empty/duplicate source, unknown status,
missing body), version semantics (stale dropped, same-version replay
dropped, `initial=true` overwrites lower version), variant coverage,
non-OK status persistence, and the empty-active-set prune case.
- `coderd/database/dbauthz/dbauthz_test.go`: 5 `MethodTestSuite` cases
covering the new queries.
- `coderd/rbac/roles_test.go`: `WorkspaceAgentContext` permission row
asserting no human role currently has access.
-
`coderd/database/migrations/testdata/fixtures/000517_workspace_agent_context.up.sql`:
one snapshot + one resource per known body kind plus a non-OK status, so
the migration test suite never lands with these tables empty.
## Out of scope (later phases)
- Chat hydration (`chats.context_aggregate_hash`,
`last_injected_context`).
- Dirty-bit fan-out and `PUT /chats/{id}/context`.
- Agent-side `POST /api/v0/context/resync` barrier and the `coder exp
chat context` CLI.
- `codersdk` chat-context wire types and the dashboard Sources drawer.
- Removal of the chatd per-turn pull fallback.
## Compat property
This is a pure write path. If anything here returns errors the agent's
`RunPush` loop backs off, no chat behavior changes, and the workspace
keeps behaving exactly like it did before v2.10.
<details>
<summary>Implementation plan and decision log</summary>
Key design calls:
1. **Concurrency**: Accept iff `req.Initial || req.Version >
existing.Version`. The strict RFC reading ("version comparison is
authoritative") locks restarted agents out because their per-process
counter resets to 1; honoring `initial=true` reflects the real reboot
reality while still rejecting steady-state replays/out-of-order pushes.
2. **Body encoding**: `protojson` over the oneof variant body proto,
stored in JSONB with `body_kind` discriminator. Structured at the API/Go
layer, schema-tolerant at the storage layer, and Phase 2 readers
round-trip back via `protojson.Unmarshal`.
3. **Schema version rejection**: returns a normal error, not
`Unimplemented`. The agent's `RunPush` loop only short-circuits on
`Unimplemented`; that escape hatch is reserved for old coderd
deployments. A forward-incompatible agent should retry-and-back-off, not
flip the connection into permanent fallback.
4. **Validation strictness**: empty sources, duplicate sources,
`STATUS_UNSPECIFIED`, and missing `Body` oneof variants are rejected
before any write so a misbehaving agent cannot poison the snapshot
table. Phase 2 readers can trust every row maps to a known proto
variant.
</details>
_This PR was authored by Coder Agents on Kyle Carberry's behalf._
Add `agent_firewall_session_id` (UUID NULL) and
`agent_firewall_sequence_number` (INT NULL) to `aibridge_interceptions`
with a partial index on `agent_firewall_session_id`. No FK to
`boundary_sessions` (soft reference, resolved at query time).
`RecordInterception` reads the new fields from the proto request (merged
in #25884) via `parseOptionalUUID` / `parseOptionalInt32` helpers.
> This PR was authored by Coder Agents.
Refs #25936.
Adds a configurable per-org default member role set. Unioned into each member's effective roles at read time.
<sub>with Coder Agents on behalf of @Emyrk.</sub>
## Problem
Centralized requests recorded *the first available key from the pool at
`CreateInterceptor` time* as `credential_hint`, so the interception
could be persisted in the database with a hint that didn't match the key
that actually served the request. The fix consists in storing, at
end-of-interception, the hint of the key that succeeded, or the last
attempted key if all keys are unavailable.
## Changes
- Add `Key.Hint()` and update `credential_hint` on every failover
attempt so it reflects the actually-used key.
- Stop pre-populating `credential_hint` at `CreateInterceptor`.
Centralized starts empty and is updated by the key failover loop.
- Persist the final hint via `RecordInterceptionEnded`; SQL updates
`credential_hint` only when `credential_kind = 'centralized'` so BYOK
keeps its start-time value.
- Log the actually-used hint on interception end/failure; start log uses
a `<keypool-pending>` placeholder for centralized.
> [!NOTE]
> Initially generated by Claude Opus 4.7, modified and reviewed by
@ssncferreira
Relates to CODAGT-432
Adds three new search filters to the chat list endpoint (`GET
/api/experimental/chats/`):
- `pr:<number>` - exact PR number match
- `repo:<owner/repo>` - substring match against git remote origin or URL
- `pr_title:<text>` - case-insensitive PR title substring match
Includes SQL filter clauses (EXISTS against `chat_diff_statuses`),
parser with validation, handler wiring, unit tests, swagger annotation
update, and a new search syntax documentation page.
> 🤖 Generated with [Coder Agents](https://coder.com/agents)
Fixes https://linear.app/codercom/issue/CODAGT-432
Adds structured search/filter capabilities to the `GET
/api/experimental/chats/` endpoint via the `q` query parameter. All
filters use explicit `key:value` syntax; bare terms are rejected to
reserve them for potential future full-text search.
> Generated by Coder Agents
Co-authored-by: Danielle Maywood <danielle@themaywoods.com>
Co-authored-by: Jaayden Halko <jaayden.halko@gmail.com>
Ethan