Fixes the reopened flake tracked in CODAGT-876 / coder/internal#1629.
## Problem
The Aug 10 recurrence was not the previously fixed subtests failing
again: the nightly-gauntlet macos run ([job
log](https://github.com/coder/coder/actions/runs/31355808516/job/93355150162))
flaked in the sibling test
`TestPostChats_AutomaticTitleGenerationPasteOnly`, which the flake
investigator matched to the existing issue.
Both `TestPostChats_AutomaticTitleGeneration*` tests still used
`newChatClientWithAPI`, which starts the in-process AI Gateway daemon
before the test creates its provider/model config. The daemon's
synchronous initial provider load therefore sees zero providers, and
route availability depends on the asynchronous pubsub-driven reload
racing the one-shot automatic title generation that `CreateChat` kicks
off. When the reload loses (initial load at `.575` with
`provider_count=0`, title request at `.907` hitting `route not
supported`, reload landing at `1.029`), the title candidate fails
without retry and the test times out waiting for the `propose_title`
request.
## Fix
Convert both tests to the pattern #27564 established for the
`TestRegenerateChatTitle`/`TestProposeChatTitle` subtests:
`newChatClientWithoutAIBridge`, create the model config, then
`aibridgedtest.StartTestAIBridgeDaemon`, so the daemon's synchronous
initial load already contains the route. The existing `NoPubsubDelivery`
subtest guards that initial-load invariant, so no new guard test is
added.
## Validation
- Deterministic red-green via the isolated-pubsub technique: old
ordering with the pubsub leg removed reproduces the exact CI signature
(`provider_count=0`, `route not supported`, timeout at the
`titleRequested` wait); the new ordering passes with the pubsub leg
still removed, proving the synchronous initial load alone provides the
route.
- `go test ./coderd -run 'TestPostChats_AutomaticTitleGeneration'
-count=10`
- `go test ./coderd -run 'TestRegenerateChatTitle|TestProposeChatTitle'
-count=1`
- `make lint` and `make pre-commit` via hooks.
> Opened by Mux on Mike's behalf.
Relates to CODAGT-713
Depends on #27514
Removes the legacy deployment-wide allowlist now that the API and frontend use per-template `agents_allowed`: the experimental `/template-allowlist` routes, SDK methods and generated types, site config queries, frontend bindings, and the now-unused `xjson` utility.
Migration `000563` deletes the obsolete `agents_template_allowlist` value. It's irreversible for deployments that configured an allowlist, which I think is fine, since `000562` already drops `agents_allowed` on the way down, and this release ships `000548` and `000555` with the same property.
Two side effects of the model change worth writing down, both from #27514 rather than here. The value used to need `ActionRead` on `ResourceDeploymentConfig` to read and deployment config update to write. `AgentsAllowed` is now a plain field on the template response, readable by anyone who can read the template, and it's set with a template update, so org admins manage it themselves. That's the delegation we wanted, and it's tracked in the audit log.
The rest of the stack adds `--agents-allowed` to the CLI and updates the platform controls docs.
## 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.
## 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. **This PR:** remove native chat usage limits.
3. Remove native chat cost tracking and its dedicated admin UI (#27330).
## Summary
Removes the native usage-limit API, SDK types, SQL, and chat enforcement
for deployment, user, and group chat limits. Compact AI Gateway budget
indicators remain in the Agents sidebar, user menu, and group settings.
Gateway budget rejections and provider quota failures continue to
classify as usage-limit errors, including a 409 response for synchronous
title generation.
Budget-period labels now use the API's UTC boundaries, so users see the
same dates in every browser timezone. The documentation explains the AI
Gateway replacement, its licensing requirements, and the differences
from native limits.
No schema is dropped in this release. The usage-limit table, index, user
and group columns, constraints, audit mappings, and generated scan
fields remain for mixed-version rolling upgrades. #27600 tracks their
removal after the compatibility window.
## Breaking change
Native day, week, and month chat spend limits are removed and are not
migrated. AI Gateway budgets are month-based, group-scoped with per-user
overrides, and require the AI Gateway entitlement. Deployments without
that entitlement no longer have chat spend enforcement.
> Mux prepared this PR on Mike's behalf.
## Stack Context
This stack removes native chat cost tracking and native chat usage
limits, making the AI Gateway the single source of AI spend data and
budget enforcement.
1. **This PR:** re-back the per-chat cost endpoint with AI Gateway data.
2. Remove native chat usage limits end to end, rewiring the sidebar
indicator to gateway spend.
3. Remove native chat cost tracking end to end, deleting the
Analytics/Spend cost UI.
## What?
`GET /api/experimental/chats/{chat}/cost` summed
`chat_messages.total_cost_micros`, which native chat cost tracking
maintained. It now aggregates AI Gateway interception data instead, and
has no native fallback.
- New `GetAIBridgeChatCost` query, authorized through the root chat so
members can read their own chat's cost without gaining access to raw
interception rows.
- Response fields renamed: `priced_message_count` -> `request_count`,
`unpriced_messages_having_usage_count` -> `unpriced_request_count`.
- The chat summary sidebar keys its cost cache by root chat, and hides
the cost row where the AI Gateway is off or unlicensed. The root cost is
invalidated when a chat leaves an active status and when a generated
title lands, since title generation bills its own gateway request.
`GetChatModelUsageCostByChatID` and the rest of native cost tracking are
untouched here; PR 3 removes them.
## Why?
Native cost tracking duplicates what the AI Gateway already records, and
the two disagree. Repointing the endpoint first means the cost UI keeps
working while the native implementation is deleted later in the stack.
Two behaviour changes follow from gateway semantics and are intentional:
- **Requests, not messages.** The gateway records interceptions, so
counts are requests. Title-generation traffic now counts.
- **Whole-tree totals.** The gateway records the *spawning* chat's ID as
the interception session ID, so a subagent's requests are attributed to
its immediate parent, not always the root. Only a whole chat tree can be
summed, so the query resolves the root and aggregates the tree, and
every chat in a tree reports the same total. Native returned per-subtree
totals.
## Attribution and counting semantics
The aggregate groups token usage per interception before counting, so
the reported numbers are per request even though a request records one
usage row per provider response:
- `RequestCount` counts finished `Coder Agents` interceptions in the
tree, including unpriced ones.
- `UnpricedRequestCount` counts requests with at least one usage row the
gateway could not price. It is a subset of `RequestCount`.
- `TotalCostMicros` omits only unpriced usage, so a partially priced
request still contributes its priced portion. The sidebar therefore says
`Excludes unpriced usage from N request(s)` rather than claiming whole
requests were dropped.
A recorded cost of zero is a free request, not an unpriced one. Usage
without an effective group is excluded, matching what never reached
`ai_user_daily_spend`.
## Authorization
Reads go through `ExtractChatParam` plus `ResourceChat`, with no
cost-specific RBAC widening. `TestGetChatCost/MemberCanReadOwnChat`
covers a scoped `agents-access` member reading their own chat's cost,
and `MemberCannotReadOtherUsersChat` still asserts 404 for a non-owner.
Plain members without `agents-access` cannot create or read chats at
all, so they never reach this endpoint.
## Known limitation
AI Gateway data has its own retention period, 60 days by default and
configured independently of chat retention, so spend for requests older
than that is no longer reported. A chat whose gateway records have all
been purged reports zero cost, which is indistinguishable from genuinely
free usage under this contract. The endpoint documents the caveat;
#27330 documents it on the Spend Management page.
In-flight interceptions are excluded, since cost is only known once the
response is recorded. A chat's cost therefore lags the active turn by
one request.
## Rebase note
Rebased onto `main` after #27579 removed the `ai-gateway-cost-control`
experiment. The per-chat cost row is now gated on the `aibridge` feature
alone, matching how #27579 degated the other cost-control surfaces.
> Mux prepared this PR on Mike's behalf.
Wires chat lifecycle hooks into chatd, gated by the
`agent-lifecycle-hooks` experiment. Part of the lifecycle hooks stack
(#27401, #27428, #27430). See `docs/admin/setup/chat-lifecycle-hooks.md`
for the consumer-facing contract.
## Summary
When a hook URL is configured, chatd dispatches `session_start`,
`user_prompt_submit`, `pre_tool_use`, `post_tool_use`, `pre_compact`,
`post_compact`, and `stop` events to the consumer and applies its
responses.
## Design
- **Stateless**: Coder stores no hook dispatch or decision state.
Delivery is at least once; consumers deduplicate on stable payload
identifiers (chat ID, event type, tool-use ID) and answer duplicates
with the same decision.
- **Admission-time prompt effects**: `user_prompt_submit` dispatches
exactly once per submission (create, send, queue, edit, subagent spawn)
and folds its effects into the stored prompt as typed message parts:
original-or-overridden user parts, then model-only `hook-context`, then
a user-visible `hook-notice`. Hook context is stripped from every
client-facing conversion; hook notices are excluded from model prompts.
The server rejects hook parts in client-submitted content.
- **Tool gating**: `pre_tool_use` allow can override tool input; deny
becomes a synthetic denied tool result, with any returned model context
persisted as a model-only transcript row so it never reaches clients.
The denial text identifies an external policy (the deployment's
lifecycle hook) as the source and marks the decision as persistent, so
the model explains the denial instead of retrying it or misreporting it
as an infrastructure failure.
- **Fail closed**: a dispatch failure rejects the triggering request or
moves the chat to the error state in the same transaction as the
affected step, so a runnable state is never published with unapproved
content.
- **Admission before persistence**: `pre_tool_use` is dispatched for the
calls the model produced, before the assistant message is stored. See
"Staged tool admission" below.
- **Fresh dispatch per tool call**: every non-provider-executed tool
call is decided by its own `pre_tool_use` dispatch; Coder never reuses
an earlier decision on the consumer's behalf. Retries re-dispatch the
same logical event.
## Structure
All hook dispatch flows through one seam: entry points build a
`chathooks.Chat` (chat identity) and a `chathooks.Message` (event
details) and call `Trigger.Trigger`, the only component that talks to
the dispatcher. The integration lives in the `coderd/x/chatd/chathooks`
subpackage, split by responsibility:
- `trigger.go`: the trigger seam; builds the wire envelope per event,
normalizes deny into a typed error, and holds the package's single
enabled-check.
- `effects.go`: pure conversion of hook results into transcript rows and
prompt parts.
- `errors.go`: failure classification (dispatch error messages, denial
mapping, tool-result dispatch-failure scanning).
- `tooluse.go`: the tool-call gate (`pre_tool_use` preflight,
`post_tool_use` payloads, applying admitted input to the step).
Server-bound glue stays in `coderd/x/chatd/hook_server.go`: the
chat-parking dispatch error handlers, the step-commit row insertion
wrappers, and the dynamic post-tool-use state loader, which depends on
chatd validation types.
This PR adopts the `codersdk/x/agenthooks` and
`coderd/x/agenthooks/dispatch` import paths introduced at the tip of
#27401; intermediate commits still reference the pre-move paths and are
not individually buildable.
## Staged tool admission
`pre_tool_use` originally ran at tool execution time, which is after the
assistant message carrying the tool call was already committed. An
`input_override` therefore had to rewrite stored message content in
place. @hugodutka pointed out that chatd treats message content as
immutable, and that the rewrite was a shortcut rather than a
requirement.
It was also a correctness problem in its own right: the rewrite only
updated the database, so the transcript could show one input while a
different one had executed.
The hook now runs before the step is persisted:
```text
provider stream ends (tool calls complete, in memory)
-> pre_tool_use dispatch per call
-> ONE transaction: assistant row with admitted inputs, synthetic denials, hook rows
-> execute
```
The step is inserted once, carrying the input the tool runs with.
`UpdateChatMessageContentByID` and `Tx.UpdateMessageContent` are deleted
from #27428, so message content stays immutable.
Two consequences, both intentional:
- **Clients converge rather than wait.** Tool-call parts still stream
live, so a rewritten call briefly shows the model's proposed input
before the committed message replaces it. The chat store already clears
stream state when an assistant message arrives, so the stored input wins
with no frontend change and no added latency before tool cards appear.
- **A call already in history was already admitted.** Execution consumes
the stored input instead of dispatching a second decision, which keeps
one dispatch and one set of hook effects per call. A consumer policy
change between admission and execution applies to later calls, not to
calls already admitted.
The per-chat debug endpoint still records the provider's original tool
input. Its purpose is to report provider behavior, and it requires an
explicit per-chat debug flag; the invariant here covers the transcript.
## Configuration
Adds `chat-hook-url`, `chat-hook-secret`, `chat-hook-timeout`, and
`chat-hook-enabled` deployment options with startup validation. The
flags are hidden from `coder server --help` while the feature is
experimental; the setup guide documents them.
## Tool input validation
Built-in tool arguments reach a consumer as raw JSON with key spelling
preserved, but the tools decode those bytes with Go, which matches
struct fields case-insensitively and keeps the last match. A policy
reading `path` could therefore authorize one value while the tool
executed another, and a lone case variant such as `{"PATH":"/secret"}`
was invisible to a policy checking for `path`.
Coder now rejects a built-in tool call whose input repeats a key or
spells a schema property with different capitalization, before the
`pre_tool_use` dispatch, so a consumer is never asked to authorize bytes
whose meaning depends on the reader. Rejected calls produce an error
result the model can retry; unambiguous calls in the same batch still
run. A consumer-authored `input_override` is rechecked after the
dispatch and fails the turn closed, because the model cannot correct it.
Dynamic and MCP inputs are excluded because the client and the workspace
agent execute those calls rather than coderd.
Two paths needed more than a schema check. Execution resolves a
deprecated tool name to its canonical tool, so validation resolves
aliases first. The `edit_files` decoder also reads `search` and
`replace`, which its schema does not advertise, so those aliases are now
matched exactly and their case variants ignored.
A hook denial now returns a structured 403 carrying `kind:
"hook_denied"`, mirroring the dispatch-failure response that already
carries its own kind. Without it a client cannot tell a policy decision
apart from a generic failure, and the chat UI titled a denial "Request
failed". Adding a kind needs no migration: `ChatErrorKind` is persisted
only inside the JSONB `chats.last_error` column, whose decoder accepts
unknown kinds.
The hook docs also correct the tool-input convergence window. A batch
dispatches sequentially before the assistant row commits, so the
original input stays visible for a span that scales with the number of
tool calls in the step rather than a single hook timeout.
> This PR was written by Mux, an AI coding agent, on Mike's behalf.
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.
This PR surgically removes enforcement of Agents spend limits:
- Adjusts the relevant function that checks usage to always return nil
- Deletes tests that expect a usage limit error.
Stacked on #26657 (the persisted whole-chat summary backend). Base
branch is `chat-summary-62j9`; review/merge that first.
Adds a reusable `ChatSummary` component.
The summary text is the persisted whole-chat summary (`chat.summary`)
introduced by #26657. It is generated asynchronously and may be `null`
until the first summary is produced, in which case the popover renders a
muted empty state. Live updates arrive via that PR's
`chat_summary_change` watch event, which is already merged into the chat
caches.
Cost is served by a new per-chat endpoint, `GET
/api/experimental/chats/{chat}/cost`, which rolls up assistant-message
cost across a chat's root and child (subagent) chats and is authorized
like the other `{chat}` routes (read on the chat, 404 otherwise).
Visual and interaction coverage lives in `ChatSummary.stories.tsx` and
`ChatSummaryPopover.stories.tsx` (including populated-summary,
empty-state, and cost-loading cases).
---------
Co-authored-by: Cursor <cursoragent@cursor.com>
Adds a user-triggered `/compact` action for Coder Agents chats: typing
`/compact` in the composer (or picking it from the `/` trigger menu)
summarizes the conversation so far to free up context window space.
## How it works
- New `POST /api/experimental/chats/{chat}/compact` endpoint
(owner-only, RBAC `ActionUpdate`, excluded from the public API reference
via `x-apidocgen skip`). It marks the chat with a durable one-shot
`chats.compaction_requested_at` signal and moves it `waiting -> running`
via a new `RequestCompaction` state transition; no message row is
inserted. AI Gateway attribution needs no per-request key: generation
preparation resolves the owner's synthetic API key (#27170) like any
other turn.
- `RequestCompaction` hands off chat ownership (clears
`worker_id`/`runner_id`) so a worker acquisition hint is published;
since the transition changes no history, the previous runner could
otherwise miss the request under reordered pubsub delivery.
- The background chat worker picks the chat up like any other turn. A
pending manual request takes precedence over turn completion in the
generation decision, and forces compaction even below the automatic
threshold (and when compaction is disabled via threshold=100). The
commit step consumes the request marker in the same transaction; any
transition that ends the turn clears stale markers.
- The summary triplet reuses the automatic-compaction path, now tagged
with a `source` (`automatic` | `manual`) that is plumbed through
streamed progress parts, persisted tool JSON, and the UI label
("Summarized (manual)").
- Validation order: busy chats reject with 409 (state-machine conflict),
empty/already-compacted chats with 409 "nothing to compact", archived
chats with 400; the owner usage-limit check runs last so no-op requests
surface the specific conflict instead of a limit error.
- Web UI: the `/` trigger menu now has a built-in "Commands" group
listing `/compact`; submit intercepts exactly `/compact` and calls the
endpoint instead of sending a message. A personal or workspace skill
named `compact` takes precedence over the built-in command; while skill
collisions are still resolving, an exact `/compact` submission is
blocked with a retryable hint instead of leaking as message text.
History and queued-message edits are never intercepted. After
compaction, the context usage indicator resets to its unknown state
until the next assistant response reports fresh usage, instead of
showing the stale pre-compaction number.
- codersdk: `ExperimentalClient.CompactChat`.
Worker-path execution (rather than compacting synchronously in the
handler) reuses the existing lock fencing, live "Summarizing..."
streaming, retry accounting, restart resilience, and debug-run
observability. Rationale documented in `coderd/x/chatd/ARCHITECTURE.md`.
## Testing
- State machine: transition-matrix coverage for `RequestCompaction`,
marker lifecycle tests (carried by lease renewals/queue appends, cleared
by terminal transitions, consumed by commit), ownership handoff +
acquisition hint assertions.
- Worker: decision-ordering and forced-compaction unit tests;
active-server end-to-end test (manual compact below threshold produces a
`source=manual` summary, returns to `waiting`, no assistant follow-up;
busy chat rejected).
- API: success, archived, non-owner, RBAC-denied, empty-chat, no-daemon
cases; usage-limit ordering (at-limit owners still get
state/nothing-to-compact conflicts for no-op requests, with marker
rollback).
- Frontend: Storybook play tests for the Commands menu group, submit
intercept, skill-name collision, queued-edit passthrough, and
manual/automatic tool rendering; unit tests for command availability
resolution and the post-compaction context usage reset.
> This PR was created by Mux, an AI coding agent, working on Mike's
behalf.
> Mux is working on behalf of Mike.
## Summary
Stop reading and writing the legacy `api_key_id` columns on chat
messages and queued messages, and drop the columns in the same PR.
Runtime AI Gateway attribution continues to use the per-user synthetic
key introduced by #27170.
With the columns gone, `sqlc` generates `database.ChatMessage` and
`database.ChatQueuedMessage` without `api_key_id`, so no transitional
query scaffolding is needed.
Migration `000548` drops the `api_key_id` columns. #27170 already
removed their foreign keys, so the down migration re-adds nullable text
columns without constraints. Previous column values cannot be restored.
Also moves the model config validation in `CreateChat` above the
message-building work so a disabled or invalid model fails fast. On main
this mattered more: the old ordering minted a synthetic API key before
rejecting the request.
Deploy note: replicas still running the previous release write
`api_key_id` on insert, so chat message inserts on old replicas fail
during the rolling window after the column drop. This was previously
split across two PRs to avoid that window; per review feedback the split
added more churn than it was worth for an experimental surface.
Depends on #27170 (merged).
> Mux is working on behalf of Mike.
## Summary
Add a per-user synthetic API key for chatd AI Gateway attribution. Chatd
resolves the key from the chat owner, extends it before expiry, and
discards the generated bearer token so the key is never a usable
credential.
There is no mapping table. The key is resolved from `api_keys` by a
deterministic token name (`chatd_<owner_id>_session_token`), mirroring
the provisionerd session token model, with three deltas that chatd
needs:
- **Login type guard**: token names are unvalidated user input, so a
user can create a bearer token with the colliding name. The lookup
excludes `login_type = 'token'` rows, so chatd never picks up (or
extends) a real user token. Synthetic keys are minted with the owner's
login type, which is never `token`.
- **In-place expiry extension instead of delete-and-reinsert**: chat
generations have no stop boundary, and an in-flight generation may have
already delegated the current key ID to aibridged. Extending
`expires_at` keeps the key ID stable forever.
- **Advisory-lock mint**: the unique index on token names is partial
(`WHERE login_type = 'token'`), so nothing DB-enforces uniqueness for
synthetic keys. A per-user advisory lock serializes concurrent mints.
Keys carry a minimal scope (`api_key:read`) as defense in depth; the
delegated gateway path never evaluates scopes and the secret is
discarded at mint.
Migration 000544 removes the foreign keys from the legacy message and
queue `api_key_id` columns while chatd continues stamping them for
rolling compatibility. Stale IDs are tolerated because routing uses
`chats.owner_id`. Individual key deletion, delete-all, and password
reset remove the key without changing chat history or queue versions,
and the next lookup remints it. Suspension does not delete the key;
delegated gateway authorization rejects inactive users at request time.
This is the first PR in a three-PR rollout and must be fully deployed
before #27171.
Refs
https://linear.app/codercom/issue/CODAGT-561/maintain-synthetic-api-key-per-user-per-chat
Closes CODAGT-721
Closes CODAGT-722
Closes CODAGT-723
Closes CODAGT-724
Closes CODAGT-725
This PR adds the database and API pieces necessary to support full-text
chat message search.
- Adds required chat schema for full-text search
- Adds dbpurge job to populate search_tsv in the background
- Adds `search` parameter to GetChats query
- Adds `search` filter to `searchquery.Chats`
- Wires chat search filter into chats API
> Implemented by Coder Agents, reviewed and tested by a human.
Closes CODAGT-736
Concurrent chat model config writes on a deployment with no default all
elect themselves default: at READ COMMITTED neither transaction sees the
other's uncommitted default, so both self-promote and
`idx_chat_model_configs_single_default` rejects the loser as a spurious
409. The coderd Terraform provider hits this routinely, since a single
`terraform apply` creates or deletes many configs in parallel by design.
The fix serializes the election with a transaction-scoped advisory lock:
the create, update, and delete handlers run their default election
inside a transaction that first takes `pg_advisory_xact_lock` on a
dedicated `LockIDChatModelConfigDefault`, so elections run one at a time
and the index is never contended. The partial unique index stays in
place as the schema-level invariant, and the existing 409 mapping
remains as a backstop for any writer that bypasses the lock.
We considered a singleton pointer table (one row holding a
`model_config_id` FK, making a second default unrepresentable), which
would remove the race outright, but it needs a migration, new queries,
dbauthz rules, and handler/read-path rework. Not proportionate for an
experimental endpoint.
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.
The deployment-wide computer use provider was passed around as a bare `string` on the `codersdk` wire structs, in `chattool`, and in the generated TypeScript, and its valid values (`anthropic`, `openai`) were never exposed as a `codersdk` enum. That's out of step with our other chat settings (`ChatDebugRunKind`, `ChatUsageLimitPeriod`), which already define enums with `Valid()` and an `All<Name>s` slice, and it left the allowed values duplicated as literals with no typed contract for clients.
This adds `codersdk.ChatComputerUseProvider` as the single source of truth and routes the API boundary, `chattool`, `chatd`, and the generated TypeScript through it. The DB layer and chattool's internal model-provider routing stay `string` on purpose, since they handle untrusted or fantasy-model values that just happen to share the names.
Coder Agents chats could get stuck showing "Thinking" forever when a
title regenerate/propose request ran while a generation was in flight.
Manual title generation recorded token cost by inserting a hidden
assistant message into `chat_messages` and immediately soft-deleting it.
Triggers on that table sync `chats.history_version` to
`snapshot_version`, so this out-of-band write broke the
`history_version` fence of an in-flight generation task, killing it
without a replacement and leaving the chat stuck in `running`.
Remove the accounting path entirely; AI Gateway already records
title-call usage in `aibridge_interceptions`/`aibridge_token_usages`.
The manual title endpoints no longer write to `chat_messages` at all,
and new regression tests assert `history_version` stays untouched. Note
this intentionally drops title-generation cost from chatd's chat-level
cost surfaces; it still counts against the user's AI budget via AI
Gateway.
Closes CODAGT-595
Closes https://github.com/coder/internal/issues/1615. The affected test
was starting coderd with a live chatd worker, but assumed that the chat
would not be processed by a worker. The fix was to start coderd without
a chatd worker. I noticed that some other tests in the file could suffer
from the same flake root cause, so I fixed them too.
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.
## 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>
This PR removes the now-dead direct-routing code:
- Deletes the direct routing implementation.
- Collapses the resolvedModelRoute discriminated union into aiGatewayModelRoute.
- Removes the dead providerKeys cascade.
- Deletes the preferredShortTextCandidates quickgen function.
- Simplifies the advisor override error handling.
- Deprecates the AIGatewayRoutingEnabled deployment option. It is now a no-op so as to not break existing deployments on upgrade.
Once direct routing was gone, the AI Gateway became mandatory for chat, which surfaced gaps in how the product behaves with the gateway disabled:
- Exposes ai-gateway-enabled to the frontend via embedded page metadata.
- Disables the chat composer via the existing AgentSetupNotice when the gateway is disabled, for both new and existing chats.
- Fixes nil/typed-nil chatDaemon panics on startup and shutdown when gateway is disabled.
- Fixes chat WebSocket from retrying the still-gated stream endpoint forever when the gateway is disabled.
The provider type already lives authoritatively in ai_providers.type,
reachable on every active row through ai_provider_id, which the
chat_model_configs_ai_provider_required_when_active CHECK makes
mandatory. The stored provider string was a denormalized copy the system
kept in sync with a startup backfill and no longer needs.
Every surface now derives provider type from the linked ai_providers
row. Telemetry is the one exception: it keeps emitting provider, now
sourced from ai_providers.type via a JOIN, so the BigQuery column and the
Nexus dashboards that read it are unaffected. The experimental HTTP/SDK
response drops provider and makes ai_provider_id required, since those
endpoints return only active configs; consumers resolve provider type
from ai_provider_id and the AI providers listing.
This ships in a single release with no compatibility window: production
reads the table via SELECT *, so a pre-drop binary fails config reads the
moment the column is gone. Operators must scale to zero before upgrading,
and there is no rollback.
Closes CODAGT-599
Configuring only a GitHub Copilot provider left the Agents page stuck on
"set up a provider then add a model", even with a provider and models
configured. The catalog dropped any provider type that NormalizeProvider
did not recognize, so a Copilot-only deployment looked identical to an
empty one and never unlocked the page.
The Agents harness cannot use Copilot: it needs a per-request token only
an official Copilot client can mint, and the harness is not one. Instead
of dropping such providers, the catalog now reports them as unsupported
so the UI can explain the dead end and point elsewhere, rather than ask
for setup that already happened. The providers stay usable through the
AI Gateway proxy.
Support is derived from the provider type, not stored, so there is no
migration. codersdk.IsAgentsUnsupportedProviderType is the single source
of truth, consulted by the chatd catalog and, through the generated
AgentsUnsupportedProviderTypes list, the frontend.
The diff also carries unrelated modernization of nearby db2sdk and
chatprovider helpers (slices.SortFunc, strings.Cut, range-over-int).
Closes CODAGT-627
Refs CODAGT-256
Refs CODAGT-682
Agents can now attach any file type as a downloadable chat artifact,
where previously the stored-file allowlist rejected types like `.zip`.
The reason arbitrary types were blocked is that a single media-type list
(`codersdk.AllChatAttachmentMediaTypes`) was doing three different jobs
at once: gating what users may upload as prompt input, deciding what is
safe to render inline in the browser, and admitting what the agent's
`attach_file` could store. Because the agent storage path reused that
same list as an admission gate, any artifact outside it was rejected
even though agent artifacts are only ever downloaded by the user and are
never forwarded to the model, so the prompt-input and inline-render
constraints did not actually apply to them.
This splits those concerns. `PrepareStoredFile` now only normalizes the
name and classifies the bytes, and the prompt-input allowlist is
enforced inline at `postChatFile` instead, which is the correct layer
for user-provided input.
User uploads are unchanged and still limited to the allowed prompt-input
media types, and unsafe or unknown types remain download-only because
`IsInlineRenderableStoredMediaType` still refuses to render them inline.
Model replay is also unchanged: assistant and tool attachments are never
forwarded to the LLM.
Closes CODAGT-654
This PR makes the agent-pushed pinned snapshot
(`chat_context_resources`) the sole source of workspace context for
chats, completing the "Release 5" cleanup. It removes legacy mechanisms
now superseded by the snapshot that agents push over dRPC
(`PushContextState`) and refresh via `chat-context/refresh`.
Removed:
- **Live-read at turn time.** MCP tool discovery, skill live-body reads,
and the instruction/skill history fallback that dialed the workspace on
every turn.
- **Context injected as message history.** The
`persist_workspace_context` generation action and its decision-loop
guard.
- **The legacy write path.** `POST`/`DELETE
/api/v2/workspaceagents/me/experimental/chat-context`, the agentsdk
`AddChatContext`/`ClearChatContext` methods, and the CLI one-shot
writer.
- **The `chats.last_injected_context` column** and all of its plumbing
(migration `000529`, queries, `db2sdk`, `dbauthz`, audit table, and the
frontend `ContextUsageIndicator` fallback).
Subagent context inheritance no longer copies parent context messages;
children now hydrate the parent's pinned `chat_context_resources` on
create, which yields an identical pin for the same workspace and agent.
What stays (still served by the live agent connection, not the
snapshot): `read_skill_file` supporting-file reads, `read_skill`
supporting-file listing, and MCP tool execution.
> [!NOTE]
> Migration `000529` drops `chats.last_injected_context` and recreates
the `chats_expanded` view without it. The down migration restores both.
<details>
<summary>Decision log (D1-D5)</summary>
- **D1 (subagent inheritance):** Re-point inheritance from the legacy
message copy to a pinned hydrate. Children call
`hydrateChatContextOnCreate` instead of copying parent context messages.
- **D2 (`persist_workspace_context`):** Remove the generation action
entirely along with the decision-loop guard it existed to satisfy, since
context is never injected into history anymore.
- **D3 (legacy HTTP + CLI):** Remove the experimental `chat-context`
POST/DELETE endpoints, the agentsdk methods, and the CLI one-shot. The
dRPC push + `chat-context/refresh` replace them.
- **D4 (frontend fallback):** Remove the `last_injected_context`
fallback in `ContextUsageIndicator`; pinned `resources` are the sole
source.
- **D5 (sequencing):** Ship as a single PR rather than a stacked pair.
</details>
---
Coder Agents generated on behalf of @kylecarbs.
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.
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
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)
Fixescoder/internal#1519
Fixes CODAGT-353
These nine tests were skipped pending a chatd notification flow refactor
that would let workers distinguish stale control `NOTIFY` messages from
real interrupts. They now pass consistently, so this drops the `t.Skip`
calls and the now-stale `TODO(CODAGT-353)` blocks.
While rerunning the package after unskipping them,
`TestNewReplicaRecoversStaleChatFromDeadReplica` also surfaced as flaky
on `main` because it asserted transient ownership state. This PR keeps
that server-level test as a stable end-to-end recovery check and adds a
deterministic worker-level stale reacquisition test so we still directly
cover lease takeover behavior.
## Tests unskipped
- `coderd`: `TestPatchChatMessage/ChangesModel`
- `coderd/x/chatd`:
- `TestExploreChatSendMessageCannotMutateMCPSnapshot`
- `TestAutoPromoteQueuedMessagesPreservesPerTurnModelOrder`
- `TestSignalWakeSendMessage`
- `TestAdvisorChainMode_SnapshotKeepsFullHistory`
- `TestOpenAIResponsesNoStaleWebSearchReplay`
- `TestOpenAIResponsesFullReplayPairsReasoningAndWebSearch`
- `TestOpenAIResponsesChainModeSkipsWhenLocalCallPending`
- `TestOpenAIResponsesChainModeStillFiresForProviderExecutedOnly`
## Stale recovery follow-up
- `coderd/x/chatd`: `TestNewReplicaRecoversStaleChatFromDeadReplica` now
waits for the stable `waiting` and unowned end state after recovery.
- `coderd/x/chatd`: `TestWorker_ReacquiresStaleOwnedChat` blocks the
runner after reacquisition and directly asserts the new worker
ownership, new runner ID, and fresh heartbeat.
I stress-ran the stale recovery tests locally with repeated plain and
race runs, and re-ran the nine unskipped tests plus
`TestPatchChatMessage/ChangesModel` after these follow-up changes.
OpenAI-compatible gateway providers such as OpenRouter require
slash-namespaced model IDs to reach the intended upstream model, but
native OpenAI routing strips those prefixes.
Preserve full model IDs for gateway provider types, reject
OpenRouter-like providers configured as native `openai` when a slash
model would be stripped, and validate chat model config changes under
the provider reference lock while still allowing unrelated edits to
existing configs.
Split from #26005.
> Mux created this PR on behalf of Mike.
The watchChats handler called SubscribeWithErr after websocket.Accept,
creating a window where clients could trigger events before the
subscription was active. Move the subscription before the accept so
events accumulate in the pubsub internal queue and drain naturally
once the encoder is ready.
Fixes CODAGT-480
Fixes CODAGT-503
- Add failing-first coverage for manual title generation with missing
message `api_key_id`, with both context fallback and fail-closed cases.
- Set `aibridge.WithDelegatedAPIKeyID(ctx, apiKey.ID)` in
`regenerateChatTitle` and `proposeChatTitle`.
- In `generateManualTitleCandidate`, fall back to
`aibridge.DelegatedAPIKeyIDFromContext(ctx)` only when
`modelBuildOptionsFromMessages` yields an empty `ActiveAPIKeyID`.
- Keep `modelBuildOptionsFromMessages` pure and leave automatic title
generation unchanged.
GPT-class chat turns could eagerly create workspaces or repeat setup
such as cloning an existing repo because the system prompt framed setup
work as the default path.
This updates chatd prompt guidance and the `create_workspace` tool
description so agents reuse existing chat and workspace context, treat
injected workspace context as already read, avoid recloning present
repositories, and create or start workspaces only when workspace-backed
work is required. Delegated chats now report workspace needs to the
parent instead of trying to create one.
> Mux opened this PR on behalf of Mike.
Fixes: ENG-2719
Fixes the flake in
`TestSendMessageWithModelOverrideUpdatesLastModelConfigID` (and the same
pattern in `TestSubsequentSendWithoutOverrideUsesPersistedModel`).
> 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>
Fixescoder/internal#1535
## Problem
`TestPatchChatMessage/ChangesModel` is flaky because it races with the
chat daemon's background processing.
`CreateChat` sets the chat to `pending` and the daemon picks it up
asynchronously. The test immediately calls `EditChatMessage` (which
changes the model to an override) while the first processing round is
still running. The `InsertChatMessages` SQL CTE unconditionally updates
`chats.last_model_config_id` to the model of the last inserted message.
When the daemon's in-flight message insertions commit after the edit
transaction, they overwrite `last_model_config_id` back to the default
model.
Similarly, after the edit sets the chat back to `pending`, the daemon
re-processes it. The test's `GetChat` call could race with this second
round.
## Fix
Poll for the chat to reach `waiting` (or `error`) status:
1. **Before editing**: wait for the initial processing round to complete
2. **After editing**: wait for the second processing round (triggered by
the edit) to complete
Then assert `last_model_config_id`, which is now stable.
> Generated with [Coder Agents](https://coder.com/agents) by @kylecarbs
These chatd tests are flaking for the same stale control-notification
race tracked by CODAGT-353, so this change skips the newly reflaking
advisor-chain and `TestPatchChatMessage/ChangesModel` tests and rewrites
the older `TODO(hugodutka)` skips to point at the same root cause. This
keeps the known flakes documented consistently until the chatd
notification-flow refactor lands.
Closes CODAGT-427
Closes https://github.com/coder/internal/issues/1510
Michael Suchacz