Prevents slow chat auto-archive runs from causing a constant archival
loop by resetting the ticker only after each run completes.
Also documents the UTC midnight cutoff used for archive eligibility so
chats with activity on the same UTC calendar date stay eligible or
ineligible for the full day.
Addresses deferred review comments:
- https://github.com/coder/coder/pull/26109#discussion_r3380197310
- https://github.com/coder/coder/pull/26109#discussion_r3380219922
Generated by Coder Agents and closely reviewed by Hugo.
The dormancy notification's "will be automatically deleted in X"
sentence rendered the dormancy threshold instead of the auto-delete
duration. A 30-day threshold rendered as "4 weeks" even when auto-delete
was 90 days; a 60-day threshold rendered as "1 month" with a 7-day
auto-delete. Render the countdown from the auto-delete setting, and skip
the deletion sentence entirely when auto-delete is disabled so the
notification no longer promises a deletion that will never happen.
Add a GET endpoint at `/api/v2/agent-firewall/sessions/{id}` that
returns agent firewall session metadata (`id`, `workspace_id`,
`owner_id`, `confined_process`, `started_at`). The handler authorizes
against the `boundary_log` resource with `ActionRead` via dbauthz.
The endpoint is enterprise-only, gated behind the `FeatureBoundary`
entitlement.
The `GetBoundarySessionByID` SQL query JOINs through `workspace_agents`
→ `workspace_resources` → `workspace_builds` → `workspaces` to return
`workspace_id` and `workspace_owner_id` directly, avoiding a separate
query.
Also adds an `owner_id` column to the `boundary_logs` table (migration
000526) with a FK to `users(id)` and a backfill from
`boundary_sessions`. This enables user-scoped RBAC authorization for
`InsertBoundaryLogs` via `.WithOwner()`, ensuring workspace agents can
only insert logs for their own owner.
Depends on #24810
**RBAC behaviour:**
| Role | Result |
|---------|--------|
| Owner | read |
| Auditor | read |
| Member | 404 |
> [!NOTE]
> This PR was authored by Coder Agents.
Closes
[CODAGT-629](https://linear.app/codercom/issue/CODAGT-629/agents-can-get-stuck-and-ignore-stop-or-nudge).
A stuck chat had these logs associated with it:
```
1781735334322 2026-06-17T22:28:54.322Z 2026-06-17 22:28:54.322 [debu] coderd.chatd.processor: workspace context build: workspace agent not resolvable chat_id=d4524ebb-4494-47df-b258-d933c0248942 owner_id=d96bf761-3f94-46b3-a1da-6316e2e4735d
1781735334298 2026-06-17T22:28:54.298Z 2026-06-17 22:28:54.298 [debu] coderd.chatd.processor: plan path instruction: agent not reachable chat_id=d4524ebb-4494-47df-b258-d933c0248942 owner_id=d96bf761-3f94-46b3-a1da-6316e2e4735d chat_id=d4524ebb-4494-47df-b258-d933c0248942 ...
error= workspace has no running agent: the workspace is likely stopped. Use the start_workspace tool to start it:
github.com/coder/coder/v2/coderd/x/chatd.init
<autogenerated>:1
```
"workspace agent not resolvable" is printed by
[`fetchContextForBuild`](<https://github.com/coder/coder/blob/fecc991ac9f9d673d7a772b0042ca821d19b6296/coderd/x/chatd/workspace_context_builder.go#L145>).
this causes
[`buildWorkspaceContext`](<https://github.com/coder/coder/blob/fecc991ac9f9d673d7a772b0042ca821d19b6296/coderd/x/chatd/workspace_context_builder.go#L60>)
to exit with a `errWorkspaceContextUnavailable` error. That in turn is
interpreted by
[`persistWorkspaceContext`](<https://github.com/coder/coder/blob/fecc991ac9f9d673d7a772b0042ca821d19b6296/coderd/x/chatd/generation.go#L838>)
as an "expected exit" scenario. That's a bug: because the task exits
without changing the chat state, the runner never issues another task to
process the chat any further. But even if it did, it'd go through the
same code path and exit again. We need to ensure that
`persistWorkspaceContext` commits a marker file even if it cannot reach
the agent.
Closes CODAGT-572
## Overview
Bumps `charm.land/fantasy` to the head of `coder_2_33`
(`v0.0.0-20260617050554-2e3ddbca75dd`) and adapts `chatd` to it.
The fantasy bump:
- Syncs upstream `charmbracelet/fantasy` main (v0.31.0) into
`coder_2_33` (coder/fantasy#42).
- Mirrors the request region when prefixing cross-region inference
profiles, so a legacy (un-qualified) Bedrock model ID is prefixed for
the same region the request is actually signed for.
Pulling in the new fantasy version propagates its required transitive
dependency upgrades (aws-sdk-go-v2, OpenTelemetry, google genai,
`golang.org/x/*`, etc.) through MVS, which accounts for the bulk of the
`go.mod`/`go.sum` churn.
## chatd changes
- Thread a per-provider `Region` through `ConfiguredProvider` and
`ProviderAPIKeys` (`RegionByProvider`), and merge/prune/resolve it
alongside API keys and base URLs.
- Source the Bedrock region from AI provider settings in `chatd` and
pass `fantasybedrock.WithRegion` when a region is configured.
- Migrate the runtime Bedrock title-generation model ID to a
fully-qualified `global.anthropic.*` ID.
- Emit a `finish_reason` in the test OpenAI streaming server so streams
close on a terminal event, matching fantasy's fail-closed stream
handling.
## Heads-up: most of this is short-lived
Almost all of the `chatd` code in this PR only executes on the **direct
(non-gateway) routing path** — the branch taken when
`AIGatewayRoutingEnabled` is `false`. That flag was a transition crutch
for AI Gateway routing, and it (plus the entire direct path /
`x/chatd/chatprovider` package that backs it) is slated for removal in
CODAGT-598. Under AI Gateway routing — which is the path every
deployment is expected to run — the Bedrock region is resolved by
aibridge directly from provider settings (`cli/aibridged.go` builds
`aibridge.AWSBedrockConfig{Region: settings.Bedrock.Region}`), so none
of the region plumbing added here is reached.
Concretely, expect the following to be deleted alongside the direct
path:
- The `RegionByProvider` map, the `Region()` accessor, and the region
preservation in merge/resolve plus the region pruning in
`PruneDisabledProviderKeys` (`chatprovider.go`).
- The `fantasybedrock.WithRegion(region)` branch in `ModelFromConfig` —
only reachable on the direct path; the gateway path builds a
`fantasyanthropic` client with no region key.
- Reading `settings.Bedrock.Region` in `aiProviderConfigFromKeys`
(`chatd.go`).
- The region-specific tests in `chatprovider_test.go`, and the
`chattest`/`model_coverage` adjustments that support direct-path
testing.
What survives the cleanup (independent of routing):
- The `charm.land/fantasy` bump and its `go.mod`/`go.sum` transitive
churn.
- The fully-qualified `global.anthropic.*` Bedrock title-generation
model ID in `quickgen.go` (a runtime-valid model identifier, not
direct-path-specific).
We're landing the full change anyway so the direct path stays correct
for the remaining transition window; just don't be surprised when
CODAGT-598 reclaims most of it.
## Notes
Depends on coder/fantasy `coder_2_33` already containing the upstream
sync and Bedrock region fix (merged via coder/fantasy#42 and
coder/fantasy#43).
Fixes ENG-2930
Fixescoder/internal#1597
Refactors TestWSWatcher to reduce flake occurrences.
The flaky tests were using polling-based assertions which may flake
based on goroutine scheduling.
Fixed by using fake connections and channel synchronization where
appropriate.
Note: No coverage of ProbeCanceled, pre-existing.
> Generated by a human, spot-checked by several robots.
Closes https://github.com/coder/internal/issues/1601. Fixes a stream
parts WebSocket close race. If the peer closed first, the session read
loop could close the connection before `StreamPartsSession.Close()` ran,
causing cleanup to return a wrapped `net.ErrClosed`. The fix treats
expected transport close errors as successful cleanup.
Closes
[CODAGT-610](https://linear.app/codercom/issue/CODAGT-610/add-an-architecturemd-file-to-chatd).
Adds an ARCHITECTURE.md file which describes the architecture of the
chatd subsystem. It's meant for reading by both humans, who would like
to understand chatd better, and agents. It's an edited version of the
chatd stabilization RFC.
closes CODAGT-203
## Summary
`list_templates` now returns a ranked shortlist with a recommendation,
so the chat agent can pick the right template the way a colleague would:
prefer what matches the request, what the user already uses, and what
the rest of the organization uses. Instead of teaching the model an enum
protocol in prompts, every result carries a fixed `next_step`
instruction telling the agent what to do.
## How list_templates works
1. **Fetch**: active, non-deprecated templates in the chat's
organization, filtered by the admin template allowlist, authorized as
the chat owner (no system escalation).
2. **Query relevance** (optional `query` argument): each template
receives the highest tier any of its fields matches, and a higher tier
always outranks a lower one regardless of usage:
| Tier | Match |
|------|-------|
| 4 | name or display name equals the query |
| 3 | name or display name starts with the query |
| 2 | name or display name contains the query |
| 1 | description contains the query (checked only when no name field
matched) |
| 0 | no match; the template is excluded |
Matching is case-insensitive and ignores spaces/hyphens/underscores
(`python gpu` matches `python-gpu`).
3. **Usage signals**: a new `GetTemplateRankingSignalsByOwnerID` query
returns, per template, the owner's active and recently-deleted workspace
counts within a 60-day window, the last in-window usage, and the count
of distinct developers with an active workspace (unclaimed prebuilds
excluded).
4. **Affinity score** (computed in Go, per template, from that
template's signals only):
```text
affinity = 10 x (active + 0.5 x deleted) x 0.5^(days_since_last_use /
14)
+ ln(1 + active_developers)
```
`active`/`deleted` are the owner's in-window workspace counts,
`days_since_last_use` is measured from the most recent in-window usage
(the personal term is zero without in-window usage), and
`active_developers` is the org-wide count. Personal usage carries 10x
the weight of org popularity; the confidence floor is the score of two
active developers (`ln 3`) and the required lead over the runner-up is
`ln 3 - ln 2`.
5. **Rank**: query tier first (when a query is present), then affinity
score, then name/ID for determinism. Results paginate 10 per page with
`next_page` present only when more exist.
## Recommendation contract
The result tells the agent what to do next instead of describing
confidence levels:
- `recommended_template_id` is present only when the top template is a
clear winner: the only available template, a decisive query match, or an
affinity score that clears a floor and leads the runner-up by a derived
margin.
- `next_step` is always present and is one of four fixed sentences: use
the recommendation, ask the user to choose, retry a query that matched
nothing, or report that no templates are available.
Per-template items carry raw evidence (`active_developers`,
`your_workspace_count`, `last_used_by_you`) rather than derived labels.
When signals fail to load, the tool logs and degrades to asking the user
unless the query alone is decisive.
Prompts and the `create_workspace`/`read_template` descriptions
reference the field through the `chattool.NextStepField` constant, so
the instruction lives in one place and cannot drift. `create_workspace`
remains idempotent and allowlist-enforced.
## Authorization
The signals query runs with the chat owner's permissions: reading the
owner's own workspaces plus a template-metadata read for the cross-user
popularity count. dbauthz rejects the call if any requested template is
not readable by the owner (covered by allow and deny method tests).
## Docs
Adds `docs/ai-coder/agents/tools/` explaining how agent tool calls work,
with `list_templates` ranking and the `next_step` contract as the first
documented tools.
Using `WaitGroup.Go` must be synchronized with `WaitGroup.Wait`
according to [go docs](https://pkg.go.dev/sync#WaitGroup.Go):
> If the WaitGroup is empty, Go must happen before a
[WaitGroup.Wait](https://pkg.go.dev/sync#WaitGroup.Wait).
There were a couple of places in chatd that violated this principle.
This was caught as a data race in
https://github.com/coder/internal/issues/1599. This PR ensures that all
functions that spawn inflight goroutines synchronize with each other.
I also noticed that inflight goroutines may be spawned after the server
is closed, which was surprising and looked like a bug. This PR therefore
also introduces a mechanism that disallows spawning inflight goroutines
after the server is closed, and ensures that any code that tries doing
it logs an error.
Closes https://github.com/coder/internal/issues/1599.
Make `newInternalTestServer` use option functions for logger, clock, and
worker startup, and make it passive by default so internal chatd tests
only opt into background execution when they need a real worker.
Use the passive server path in `TestAwaitSubagentCompletion` for the
state-driven subtests, keep `ContextCanceled` explicitly active for real
provider cancellation coverage, and keep the fail-fast default AI
provider base URL so accidental provider calls still fail immediately.
Closes CODAGT-586
Closes https://github.com/coder/internal/issues/1549
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.
> AI Tools where used in this request.
Registers `coder_aibridged_*` and `coder_aibridgeproxyd_*` metrics under
new prefixes: `coder_ai_gateway_*` and `coder_ai_gateway_proxy_*`.
Old prefix is still exported. Will be removed in later release.
Also updated the `metricsdocgen` static fixture. Added 4
previously-undocumented metrics `key_pool_state`,
`key_pool_state_transitions_total`, `key_pool_exhaustions_total`,
`key_pool_failover_attempts` added the `client` label to the existing
interception, prompt, and token counter samples.
Updated AI Gateway documentation.
This PR adds logging when the chat runner retries and exits because of
an error. It also adds a 15-minute task timeout to ensure that stuck
tasks do not hang forever.
The workspace-app and port preview tabs in the Coder Agents right panel
were previously gated behind a `devel` prerelease build check, which
can't be toggled in real deployments.
This replaces that check with a proper `agent-app-tabs` deployment
experiment, registered in `ExperimentsKnown`, so the feature can be
enabled via `CODER_EXPERIMENTS=agent-app-tabs` like any other
experiment. The frontend now reads
`experiments.includes("agent-app-tabs")` from the dashboard instead of
`getPrereleaseFlag(buildInfo) === "devel"`.
Depends on #26208
## What
Populates `chat_context_resources` (the per-chat pinned copy added in
#26430) by copying from `workspace_agent_context_resources` at the
points where a chat's `context_aggregate_hash` is set, in the same
transaction, so the pinned hash and pinned bodies always agree. No
prompt-building change yet; consuming the pinned copy in
`prepareGeneration` is a later, experiment-gated PR.
## How
- `HydrateAgentChatsContext` now hydrates NULL-hash chats **and** copies
the agent's resources onto them in one statement (a data-modifying CTE),
so the chat-create and agent-push paths need no Go change.
- New queries `InsertAgentContextResourcesIntoChat`,
`DeleteChatContextResources`, `ListChatContextResources`, each with a
hand-written dbauthz wrapper (per-chat update/read) and a
`MethodTestSuite` entry.
- `RefreshChatContext` re-pins resources via a shared `repinChatContext`
helper (clear-then-copy in a transaction). A dirty chat keeps its old
bodies until refresh.
- On agent rebind (e.g. a workspace rebuild produces a new agent), the
chat's context is re-pinned to the new agent so it stops injecting the
previous agent's resources. Best-effort: a context error never fails the
binding.
## Invariant
A chat's `chat_context_resources` always correspond to its
`context_aggregate_hash`. Bodies are (re)written only when the hash is
set (hydrate, refresh, rebind); a dirty chat keeps its old bodies until
refresh.
## Testing
Extends the context integration test to push real resources and assert
the copy across hydrate, dirty (no re-copy), and refresh. The dbauthz
`MethodTestSuite` covers the three new methods.
<details>
<summary>Why clear-then-copy (two statements)</summary>
The refresh/rebind re-pin clears the chat's rows then inserts the
agent's. It uses two sequential statements inside the transaction rather
than a single `WITH cleared AS (DELETE ...) INSERT ...`, because a
data-modifying CTE cannot see its own delete under snapshot isolation,
so overlapping sources (the common case: the same files re-pinned) would
collide on the `(chat_id, source)` primary key. The hydrate path inserts
into never-pinned (NULL-hash) chats and uses `ON CONFLICT DO UPDATE`
defensively.
</details>
<details>
<summary>Follow-ups</summary>
- `prepareGeneration` consuming the pinned instructions and skills
(experiment-gated).
- `codersdk.ChatContext` resources plus changed diff, and the frontend
indicator/refresh.
- Removing the per-turn pull and `last_injected_context`.
</details>
---
*This PR was created by Coder Agents on behalf of @kylecarbs.* Builds on
#26430.
Adds chat_context_resources: a per-chat pinned copy of the agent context
resources a chat is hydrated against. The agent-side table
(workspace_agent_context_resources) is last-writer-wins with no history,
so a chat copies its resources at hydration/refresh to keep a stable view
while the agent drifts.
Schema foundation only (no queries/dbauthz/prepareGeneration/SDK yet).
chat_id FK ON DELETE CASCADE for cleanup parity; no agent FK so the pin
survives agent replacement; PK (chat_id, source); reuses the 000522 enum
types.
Implements
https://linear.app/codercom/issue/AIGOV-286/add-interception-cost-calculation-to-aibridge-token-usages
Adds spend attribution to AI Gateway. After the upstream response, each
token-usage record now captures the user's effective group, the
per-token prices in effect at that moment, and a computed cost — so
spend is recorded as an immutable, point-in-time snapshot.
Concretely, `aibridge_token_usages` gains `effective_group_id`,
`input_price_micros`, `output_price_micros`, `cache_read_price_micros`,
`cache_write_price_micros`, and `cost_micros`. When a usage record is
written, the effective group is resolved (per-user override, else the
deployment budget policy), the `(provider, model)` price is looked up
and snapshotted onto the row, and cost is computed from the
provider-reported token counts. A model that isn't in the price table
records its tokens with a `NULL` cost; any *other* resolution failure
fails the write, so a `NULL` cost unambiguously means "model not priced"
rather than "lookup errored."
All values are stored in micro-units (1 unit = 1,000,000 micro-units;
Phase 1 assumes USD, so 1 micro-unit = $0.000001). Prices are quoted per
million tokens.
This also grants the AI Bridge RBAC subject `read` on `ai_model_prices`
(the per-interception price lookup needs it; it previously only had
`update` for the startup seeder).
## Cost precision
Cost is computed per token category as `tokens × price / 1_000_000` with
integer division, then the four categories are summed. The division is
done **per category** (not once over the summed numerator) on purpose:
it keeps the per-category line items summing exactly to the stored total
— no "the parts don't add up to the whole" in reporting).
Integer division truncates sub-micro-unit fractions. For example, a
cheap model at $0.10 per million tokens is a price of `100_000`; 9
tokens cost `9 × 100_000 / 1_000_000 = 900_000 / 1_000_000 = 0` (the
true 0.9 micro-units floors to 0). At real list prices this rarely bites
— $3/M input is a price of `3_000_000`, so even a single token is 3
micro-units. The per-record under-count is bounded below 1 micro-unit
per category, so under $0.000004 total across the four categories, which
is acceptable for list-price-based cost approximation.
## Overflow safety
`cost_micros` is a `BIGINT` (int64), and the largest intermediate value
is a single category's `tokens × price` before division. int64's ceiling
is ≈ `9.223e18`.
- At a steep $75/M model (price `75_000_000`), overflow would require
~123 billion tokens in one response: `123e9 × 75e6 = 9.225e18`, just
over the limit. `122e9` stays under at `9.15e18`.
- A realistically maxed-out Opus 4.8 response (≈1M input + 128K output
at list prices) costs about $15, with a numerator around `1.5e13` —
roughly six orders of magnitude below the ceiling.
So overflow is unreachable from real token counts.
### Multi-currency support
In the future, we may encounter issues with multi-currency support,
especially when dealing with currencies that have very large exchange
rates relative to USD, for example:
IRR: ~1,300,000 IRR ≈ 1 USD
VND: ~26,000 VND ≈ 1 USD
For currencies with such large denominations, numeric overflow is
technically possible, considering that we have only about six orders of
magnitude of headroom before reaching the limit (see above).
## `effective_group_id` has no foreign key
`effective_group_id` records the group a spend was attributed to, as an
immutable historical fact. It is intentionally **not** a foreign key, so
the record survives deletion of the group.
Alternatives were considered and rejected:
- **`ON DELETE SET NULL`** would mutate an "immutable" record — deleting
a group silently erases that interception's attribution and under-counts
the group's historical spend.
- **`RESTRICT` / `NO ACTION`** would block group deletion entirely
(groups are hard-deleted).
- **`CASCADE`** would delete spend history when a group is deleted — the
worst outcome for an audit record.
There is also no insert-time check that the group still exists: the id
comes from a budget that was just resolved, meaning it was valid at some
point.
## Open question: group name snapshotting
Should we also snapshot the group *name* onto each record? Two options:
- **Denormalize it now** — readable in historical reports even after a
group is deleted, but the snapshot can drift from the current name on
rename, raising a "show point-in-time vs. current name" question.
- **Postpone until needed** — it's a purely additive column later, and
the name is display-only (not correctness-bearing like the price). The
cost: names of groups deleted before the column is added can't be
backfilled.
Leaning toward postponing until a concrete reporting need settles the
drift question.
Makes the chat context foundation from #26385 live. That PR added the
storage columns, writer queries, and a dormant
`agentapi.ContextDirtyMarker` trigger with no production callers; this
PR wires them together end to end.
When a workspace agent pushes a context snapshot, bound chats now
hydrate to that snapshot's hash, and a later push with a different hash
flips already-pinned chats to dirty (emitting a `context_dirty` watch
event after the transaction commits). Chat creation pins the agent's
latest snapshot when one already exists. The experimental chat API
exposes this as `Chat.Context` (`*ChatContext` with `dirty`,
`dirty_since`, `error`), and a new `PUT
/api/experimental/chats/{chat}/context` endpoint re-pins the agent's
latest snapshot and clears the dirty marker.
`context_dirty_resources` stays NULL (the resource-level diff is
deferred to the UI phase) and the live per-turn context pull is
unchanged.
The end-to-end test provisions a workspace agent via the echo
provisioner, connects it over the Agent API v2.10, and exercises the
full path: an initial push hydrates a bound chat (clean), a second push
with a different hash marks it dirty, the API reports the dirty state,
and the refresh endpoint clears it.
<details>
<summary>Decision log</summary>
- **API shape — sub-struct.** Dirty state is surfaced as
`codersdk.Chat.Context *ChatContext { Dirty bool; DirtySince *time.Time;
Error string }` rather than flat fields, matching the RFC's named
`ChatContext` type and leaving room for future fields (resource diff,
sources). `db2sdk.Chat` populates it when the chat is context-tracked
(`len(ContextAggregateHash) > 0`), dirty, or carries a snapshot error,
and leaves it nil (`omitempty`) otherwise. `Dirty` mirrors
`context_dirty_since` being set.
- **Marker wiring.** The chat daemon is injected directly as the
`agentapi.ContextDirtyMarker`. It is unconditionally constructed (only
its background worker is gated), so the marker is always non-nil and the
wiring matches every other `api.chatDaemon` call site. `agentapi` still
treats a nil marker as "chatd absent", so `PushContextState` stays a
pure write path for any future caller that does not wire chatd in.
- **Refresh is atomic.** `RefreshChatContext` reads the agent's latest
snapshot and re-pins the chat in one repeatable-read transaction, so a
concurrent push cannot land between the read and the write and leave the
chat pinned to a stale hash with the dirty marker cleared.
- **Hydrate + dirty run inside the push transaction.** The fan-out
shares the push's transaction so a concurrent refresh cannot interleave
with the version gate; `context_dirty` watch events publish only after
commit. The pinned hash on dirtied chats is intentionally left unchanged
— the refresh endpoint re-pins it.
- **Dirtied chats keep their pinned hash.** Drift is advisory: a dirty
chat stays usable, and refreshing is the only path that advances the
pinned hash.
- **Test binds `chats.agent_id` directly.** In production the binding is
set lazily during a chat turn (`chatd.persistBuildAgentBinding`); the
test sets it via `dbgen` so it exercises the context flow rather than
turn resolution.
Plan: `coderd/x/chatd` context integration + E2E (sub-struct API,
create-time + push-time hydration, refresh endpoint;
`context_dirty_resources` and the per-turn pull untouched).
</details>
🤖 Generated by Coder Agents on behalf of @kylecarbs
`TestPush/CachesSubscriptionsWithinTTL` could fail with `Post
"http://127.0.0.1:XXXXX": net/http: HTTP/1.x transport connection
broken: http: CloseIdleConnections called` when a sibling parallel
subtest's `httptest.Server.Close()` ran during an in-flight `Dispatch`.
`setupPushTestWithOptions` wired the dispatcher to `http.DefaultClient`,
so every parallel subtest in `TestPush` shared `http.DefaultTransport`.
`httptest.Server.Close()` calls `CloseIdleConnections` on
`http.DefaultTransport`, which could break an in-flight request in any
other subtest using the same transport.
`httptest.Server` already exposes a paired `*http.Client` backed by a
transport dedicated to that server (see `net/http/httptest/server.go`).
Closing one server only touches `http.DefaultTransport` and its own
client's transport, so sibling cleanup can no longer reach into ours.
Same flake class and same isolation principle as #25015, #25407, #25430,
and #25821.
Closes https://github.com/coder/internal/issues/1593
Closes ENG-2926
Add a periodic purge job for `boundary_logs` rows past their retention
threshold, following the same pattern as the existing audit log and
connection log purge jobs in `dbpurge`.
Expose a `--boundary-log-retention` deployment flag (env
`CODER_BOUNDARY_LOG_RETENTION`, YAML `retention.boundary_logs`). Default
is `0` (keep indefinitely). When set to a positive duration, `purgeTick`
deletes rows where `captured_at` is older than the threshold in batches
of 10,000, matching other log purge operations. The `boundary_logs`
label is added to the `records_purged_total` Prometheus counter.
Also removes the random-UUID fallback for `OwnerID` in
`dbgen.BoundarySession`. The previous fallback generated a UUID that
could never satisfy the `boundary_sessions_owner_id_fkey` FK constraint,
masking test setup bugs. Callers must now provide a valid user ID or
accept NULL (the legitimate "user deleted" state).
Chat watch events publish through Postgres NOTIFY, so embedding the full
REST chat payload can exceed the payload limit when
`last_injected_context` grows. Strip `LastInjectedContext` from watch
payloads, matching the existing `Files` omission, while keeping
`DiffStatus` populated for `diff_status_change` events and leaving `GET
/chats/{id}` unchanged.
A previous attempt in #26368 introduced a separate summary type for
watch events. This avoids making that API change prematurely: one large
optional field is not enough reason to split the shared `Chat` shape by
endpoint, so this keeps the existing type and omits the heavy detail
field from pubsub payloads.
Closes CODAGT-501
## Problem
Bedrock errors (routed through aibridge) showed the wrong provider
("Anthropic ...")
and a doubly-wrapped detail string instead of the clean message.
## Fix (chatd only)
- **Provider label:** thread the configured provider to error
classification via
`GenerateAssistantOptions.ErrorProvider`. Transport provider still
drives prompt
prep, sanitization, and metric labels (unchanged).
- **Detail:** unwrap the SDK transport wrapper (`METHOD "URL": NNN
{body}`) to surface
the inner message; handles top-level `{"message":...}` and nested
`{"error":{"message":...}}`.
## Notes
- Surfacing a top-level `message` now applies to all providers
(intentional; nested wins when both present).
- The advisor path keeps the transport label; accepted as-is (it returns
`err.Error()`, not the classification).
- Fixes display in chatd only; the wrapper originates in aibridge (out
of scope here).
🤖 Generated by Coder Agents.
Adds the `ai-gateway-cost-control` experiment flag to gate new cost
control endpoints and upcoming frontend UI behind an explicit opt-in.
Currently AI Gateway cost control supports the following endpoints:
- `GET/PUT/DELETE /api/v2/organizations/{org}/groups/{group}/ai/budget`
- `GET/PUT/DELETE /api/v2/users/{user}/ai/budget`
Note: the group-level endpoints were already released in v2.34.0 and
remain ungated. Only the user-level endpoints are gated behind this
experiment. Future cost control endpoints and UI should use this
experiment for gating until the feature is stable.
> Generated by Coder Agents on behalf of @ssncferreira
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)
Adds `POST /api/v2/templatebuilder/compose/template`, a synchronous
endpoint that composes a template from a base and modules, validates it
via a provisioner import job, and creates the template in a single
request.
The handler composes terraform files, bundles them as a tar, inserts the
file with hash-based dedup, creates a template version with an import
job, waits up to 2 minutes for the job to complete, classifies errors
for known failure modes (network-unreachable registry, DNS failures),
then creates the template on success. Canceled and failed jobs return
appropriate error responses.
Also adds `hclwrite.Format` to composed terraform output for canonical
HCL formatting.
Closes https://linear.app/codercom/issue/DEVEX-279
<details>
<summary>Implementation notes</summary>
- SDK types and client method in `codersdk/templatebuilder.go` with
validation tags matching the standard template creation path
(`template_display_name`, `lt=128`)
- `ClassifyProvisionerError` in `coderd/templatebuilder/errors.go`
detects DNS, connection refused, i/o timeout, and TLS handshake failures
and returns actionable messages
- `waitForProvisionerJob` polls with a ramp-up interval schedule (100ms,
200ms, 500ms, then 1s steady) and accepts an `onUpdate` callback for
future SSE streaming
- Audit logging for both template and template version creation
- TOCTOU name uniqueness: early check for fast feedback, DB unique
constraint catch for the race window (returns 409, not 500)
- Swagger annotations for all error responses (400, 404, 409, 504)
</details>
> 🤖 Generated by Coder Agents
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.
Closes https://github.com/coder/scaletest/issues/151
Closes GRU-71
Use the existing MsgQueue from the original PGPubsub instead of the 2-channel solution originally built here.
Renames `natsSub` to `groupSub`, since conceptually, a "NATS Subscription" already refers to the underlying subscription on the NATS server.
This PR also simplifies the closing of the PubSub to just close each `localSub`. When the last `localSub` for an event is closed, it unsubscribes and remove the `groupSub`. This ensures we go through the same code paths closing normally and at end of day.
## What
API key validation applied a sliding-window expiry refresh to every key
type. Programmatic API tokens (created via `coder tokens create`, login
type `token`) had their `expires_at` extended to `now + lifetime` on
each authenticated request (with a ~1h debounce), so a token used within
its lifetime window never actually expired.
This restricts the sliding-window refresh to interactive login sessions
(password / OIDC / GitHub). Programmatic tokens now honor their fixed
`expires_at`.
## Why
A finite token `--lifetime` is expected to be a hard expiry. Silently
extending it on use defeats that expectation and prevents rotation of
long-lived automation credentials.
## Changes
- `coderd/httpmw/apikey.go`: skip the expiry refresh when `key.LoginType
== database.LoginTypeToken`.
- `coderd/httpmw/apikey_test.go`: regression test asserting a token's
expiry is not extended on use.
## Notes
- Interactive sessions are unaffected (they still slide while active).
- Tokens already extended are not retroactively shortened; this prevents
future extension.
<details>
<summary>Validation</summary>
- `go build ./coderd/httpmw/...`
- `go test ./coderd/httpmw/ -run TestAPIKey -count=1` (all pass,
including the new `TokenNoExpiryRefresh` and the interactive
`ValidUpdateExpiry`)
- `golangci-lint run ./coderd/httpmw/` (clean)
- Confirmed the new test fails without the production change and passes
with it.
</details>
---
🤖 Generated by Coder Agents on behalf of @jdomeracki-coder.
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._
Validates caller-supplied module variable keys and values in the
template builder compose endpoint before template rendering. Previously,
`mergeModuleVariables` accepted any caller-supplied key and value
without validation, allowing unknown keys, computed/sensitive variable
overrides, and malformed HCL literals (including injection payloads) to
pass through to rendered output.
Now `mergeModuleVariables` rejects unknown keys (those not in the
manifest's non-computed, non-sensitive variables) and type-checks
values: strings must be quoted HCL literals without interpolation
markers or unescaped newlines, numbers must be strict numeric literals,
and bools must be exactly `true` or `false`. The literal `null` is
accepted for any type.
Closes https://linear.app/codercom/issue/DEVEX-278
<details>
<summary>Implementation details</summary>
- Changed `mergeModuleVariables` signature from `map[string]string` to
`(map[string]string, error)` to surface validation failures
- Added `validateVariableValue`, `validateStringValue`,
`validateNumberValue`, `validateBoolValue` in `compose.go`
- String validation rejects: unquoted values, HCL interpolation (`${`,
`%{`), unescaped newlines/quotes, trailing backslashes (which would
escape the closing delimiter), and values exceeding 4096 bytes
- Errors wrap the module ID and variable name for clear diagnostics
(e.g. `module "code-server": variable "port": invalid number value`)
- Tests cover key validation, type validation, injection attempts, and
full Compose flow integration
> Generated with the help of [Coder Agents](https://coder.com) by
@jeremyruppel
</details>
Addresses
[CODAGT-620](https://linear.app/codercom/issue/CODAGT-620/session-can-get-stuck-at-compaction-with-request-failed).
We have logic that checks whether message compaction still leaves the
chat over the context limit. We want to abort if it does - if we didn't,
we'd get into an endless compaction loop. The check's logic was faulty.
This PR changes fixes it. The new flow is:
1. In iteration 1, a chat runner commits a message compaction summary.
2. In iteration 2, the runner submits the newly compacted conversation
to the LLM provider in order to generate the next message.
3. In iteration 3, 4, 5, etc., if the conversation needs compaction, the
runner looks up the configured context limit and the first assistant
message after the last compaction summary. It compares the context usage
on that message with the context limit. If the usage is over the limit,
it returns an error.
> [!NOTE]
> This PR was authored by Coder Agents on behalf of @jeremyruppel.
Part 4 of DEVEX-277 (POST /api/v2/templatebuilder/compose).
Adds the HTTP handler, route wiring, and integration tests for the
compose endpoint.
The handler accepts a JSON request with a base template ID and optional
modules with variable overrides, renders them via `Compose`/`BundleTar`,
and returns the tar archive directly with `Content-Type:
application/x-tar`. The registry URL comes from the deployment config
(`CODER_TEMPLATE_BUILDER_REGISTRY_URL`).
RBAC uses `policy.ActionCreate` on
`rbac.ResourceTemplate.AnyOrganization()`.
Integration tests cover: base-only compose, base with modules, unknown
base/module errors, missing base template ID, and feature-disabled 404.
Closes CODAGT-223
## What's already on `main` (via #25803)
#25803 fixed how `detail` is *rendered* when present:
`ChatStatusCallout` shows `status.detail` in a monospace `<code>` block
for `kind === "generic"`, `AgentChatPage` reads
`error.response?.data?.detail` inline, and the auth message was
tightened.
It did not fix `detail` being absent in the first place.
## The gap
`chaterror.Classify` only populates `Detail` from
`*fantasy.ProviderError` (OpenAI-shaped JSON envelope). Every other
realistic failure shape produces blank `Detail`:
`context.DeadlineExceeded`, `Post "…": connection refused`, `stream
error: stream ID …; INTERNAL_ERROR`, `Post "https://api.openai.com/…":
400 invalid model: gpt-9000`, `fantasy.Error` from the stream decoder,
`xerrors.New("status 401 from upstream")`, HTTP/2 peer resets. Users
still see the dead-end alert: "Request failed / The chat request failed
unexpectedly." with no third line.
## The fix
A new `chaterror.FormatDiagnosticDetail` entry point shares
diagnostic-detail logic with `classify.go`: non-auth rule-table branches
now fall back to a bounded raw error string when structured detail is
absent, while auth-classified failures keep only structured provider
detail. Curated branches (canceled, interrupted, Responses-API,
stream-incomplete, chain-broken) are left alone. The `exp_chats.go` POST
catch-all uses the exported helper, so the backend consistently emits a
bounded diagnostic string instead of leaving `Detail` blank. Fallback
diagnostics redact URLs preserved in typed transport errors by stripping
userinfo, query strings, and fragments before display, which keeps
provider error text useful while reducing credential exposure from
standard request URL wrappers.
## Security
This change surfaces upstream error text in the chat UI, where it is
also persisted in `chats.last_error`, so it crosses a trust boundary.
Codex brought this up as an issue through reviews. Mindful of cases like
#20968, where a sensitive field leaked into agent logs, the design
deliberately narrows what can reach a user:
- Auth-classified failures keep only structured provider detail and
never fall back to the raw error string.
- Fallback diagnostics redact any URL preserved in a typed `*url.Error`
by removing userinfo, query strings, and fragments, so credentials in
standard transport URL wrappers do not leak.
- Request-side credentials are not exposed: providers authenticate via
headers, and `fantasy.ProviderError.Error()` does not print the URL or
request dump. Dumped response headers are stripped before parsing, and
detail is length-capped.
The remaining channels are structured provider detail (`error.message`
from the provider's response body), which is surfaced verbatim because
it is the useful diagnostic this PR exists to deliver, and
already-flattened fallback text where typed transport context has been
lost. A well-behaved provider returns a description of the failure here,
not a secret; OpenAI, for example, masks the middle of the submitted key
and returns only a short fragment alongside a docs link. For a real
secret to appear, the upstream API, or a proxy an admin points
`base_url` at, would have to echo a plaintext credential into its own
error body or flattened error prose. I judge that any secret leakage as
a result of this PR would require a misbehaving API or middleware, and
that the usefulness of real diagnostics outweighs that bounded risk.
Hugo Dutka