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fe13bb2a20dfbcf5deb75857787b73cf72a1e801
69 Commits
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fe13bb2a20 |
fix(coderd/x/chatd): seed afterMessageID test directly (#25665)
This fixes the flaky `TestSubscribeAfterMessageID` by seeding its chat and messages directly, so the test no longer creates pending work that a chat worker can pick up. The assertion now covers only the `afterMessageID` subscription behavior, independent of chat processing lifecycle timing. Closes DEVEX-326 Closes https://github.com/coder/internal/issues/1489 |
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00a6dc56a7 |
test(coderd/x/chatd): wait for settled state in PromoteQueued ordering (#25644)
TestPromoteQueuedWhileRunningRespectsMessageOrder was flaky because it read queue state from the database immediately after PromoteQueued returned. The active server worker drains queued messages concurrently, so the DB read races the auto-promote pipeline (TOCTOU). Instead of asserting intermediate queue state, wait for all three promoted messages to appear in chat history and verify their relative order (B before A before C). This asserts the same invariant (promote reorders B to the front) without reading during the race window. Closes CODAGT-384 |
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12f082c864 |
test(coderd/x/chatd): drain all subscriber events per tick in PromoteQueued tests (#25645)
The root cause of the TestPromoteQueuedWhileRequiresActionMixedTools
flake (CODAGT-425) was the subscriber out-of-order durable message
delivery bug, fixed by PR #25433 (
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6739542875 |
test(coderd/x/chatd): skip signal wake send flake (#25633)
Skips `TestSignalWakeSendMessage`, which flakes because the current chatd control notification flow can deliver stale status notifications after a new processing run starts. This mirrors the existing CODAGT-353 skips for the same stale-notification class and leaves the deterministic fix to that notification-flow refactor. Refs https://linear.app/codercom/issue/ENG-2727/flake-testsignalwakesendmessage > Generated by Coder Agents on behalf of @ibetitsmike. |
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de6d62815e |
fix(coderd): avoid redundant workspace setup (#25615)
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. |
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ca1f6b19a2 | feat: remove legacy chat provider tables (#25416) | ||
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06526a5822 | feat: use AI provider chat APIs (#25415) | ||
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170a6e1fe9 | feat: add chat sharing foundation (#25041) | ||
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159089686a |
fix(coderd/x/chatd): prime workspace MCP cache after create/start (#25298)
## Problem Mid-turn workspace MCP discovery was broken when an agent was still cold-starting. `PrepareTools` in `chatd.go` flipped `workspaceMCPDiscovered = true` *before* calling `discoverWorkspaceMCPTools`, so a failed discovery attempt permanently blocked retries within the turn. Customer-reported repro: - New chat with no pre-selected workspace. - LLM calls `create_workspace` mid-turn at `23:35:05`. - `PrepareTools` fires, dials the agent with a 30s timeout, dial times out at `23:38:15`, `discoverWorkspaceMCPTools` returns empty. - Agent connects at `23:38:29`, 14 seconds later. - `workspaceMCPDiscovered` was already true, so `PrepareTools` never retried for the rest of the turn. MCP tools only appeared on the next user message. A naive retry loop in `PrepareTools` would also miss the bigger picture: a workspace boot can take several minutes (EC2 cold start, 10 min startup scripts), and the chatloop only gets a chance to call `PrepareTools` between LLM steps. ## Fix Do the workspace MCP discovery from inside the tool that already waits for the agent. `chattool.CreateWorkspace` and `chattool.StartWorkspace` call `waitForAgentReady`, which has a 2 min agent-online budget plus a 10 min startup-script budget. By the time they fire `OnChatUpdated`, the agent is `Ready`. The chatd `onChatUpdated` callback now launches an async `primeWorkspaceMCPCache` goroutine on every bind that has a valid workspace ID: - The primer calls `discoverWorkspaceMCPTools` until it returns a non-empty list or `workspaceMCPPrimeMaxWait` (30s) elapses, with a 2s backoff between attempts. The bounded wait handles the short race between agent-online and the agent's MCP `Connect` settling. - The primer runs asynchronously so the tool itself never blocks. Some templates simply do not advertise MCP tools, in which case the primer would otherwise spend its full budget for nothing. - The primer shares the chat `ctx` (not a detached one) so it is canceled together with the chat. A dangling primer would re-dial the workspace conn after `runChat`'s deferred `workspaceCtx.close()` and leak that conn. - `inflight.Add(1)` ensures server shutdown still waits for any in-progress primer. - `PrepareTools` is simplified back to a single discovery call. It now only sets `workspaceMCPDiscovered = true` on success, so an empty result no longer permanently blocks discovery within the turn. The cache hit warmed by the primer makes that call cheap in the common case; the dial fallback handles the rare cache miss. ## Tests All in `coderd/x/chatd/chatd_internal_test.go`: - `TestPrimeWorkspaceMCPCache_SuccessOnFirstAttempt` — single `ListMCPTools` call returning tools populates the cache. - `TestPrimeWorkspaceMCPCache_RetriesUntilToolsAppear` — first call empty, second returns tools; primer retries past the backoff and writes the cache. Uses `quartz.Mock.Trap` on `NewTimer`. - `TestPrimeWorkspaceMCPCache_GivesUpAfterDeadline` — `ListMCPTools` always empty; primer stops at `workspaceMCPPrimeMaxWait` and refuses to cache the empty result so PrepareTools can retry on the next step. The existing integration test `TestRunChat_WorkspaceMCPDiscoveryAfterMidTurnCreateWorkspace` continues to pass and now also exercises the async-primer path end-to-end via the create_workspace tool. ``` go test ./coderd/x/chatd/... -count=1 go test ./coderd/x/chatd/ -race -count=1 make pre-commit ``` <details> <summary>Design notes</summary> - The first iteration of this PR added retry+cooldown+failure-cap logic inside `PrepareTools`. It worked for the customer's ~30s race window but did not help workspaces that take several minutes to boot, because `PrepareTools` only fires between LLM steps. Reviewer pointed out the right place to handle this is the tool itself; the current implementation does that. - Why async: a primer that ran synchronously inside the `OnChatUpdated` callback blocked the create_workspace tool from returning for up to `workspaceMCPPrimeMaxWait`, which broke `TestCreateWorkspaceTool_EndToEnd` and would hurt any template that does not expose MCP tools. Decoupling lets the tool return immediately and lets the primer warm the cache concurrently with the next LLM step. - Why share the chat `ctx` rather than `context.WithoutCancel(ctx)` (the title-generation pattern): the primer touches `workspaceCtx.getWorkspaceConn`, which `runChat`'s deferred `workspaceCtx.close()` invalidates. A detached primer outliving the chat would dial a fresh conn and leak it. - The constant naming distinguishes `workspaceMCPDiscoveryTimeout` (35s per-call dial budget, unchanged from #25169) from `workspaceMCPPrimeMaxWait` (30s total budget for the post-ready primer loop) and `workspaceMCPPrimeRetryInterval` (2s between empty-result retries). </details> Follow-up to #25169. --- _This pull request was generated by Coder Agents._ |
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a59b951565 |
test: skip stale notification chatd flakes (#25376)
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 |
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f1d160c7f4 |
fix: allow changing model when editing earlier chat message (#25084)
Editing a previous user message and selecting a different model in the
picker silently kept using the original model: the selection was dropped
on the frontend, in the SDK, and in the backend, so both the replacement
user message and the assistant turn that followed ran against the old
model.
Plumb the selected model through all three layers (`AgentChatPage`,
`codersdk.EditChatMessageRequest`, `chatd.EditMessageOptions` /
`Server.EditMessage`), defaulting to the original message's model when
the client does not specify one. The existing `InsertChatMessages` CTE
already advances `chats.last_model_config_id` when the inserted
message's model differs, so the assistant turn picks up the new
selection without further changes. The new model is validated inside the
transaction, so an unknown ID rolls the edit back and returns a 400
`Invalid model config ID.`, mirroring the `SendMessage` path.
Refs: CODAGT-345
This change was generated by a Coder agent.
<details>
<summary>Implementation plan</summary>
# CODAGT-345: Editing an earlier message cannot change model
## Problem
When editing a previous user message in a chat, the user can change the
model in the model picker, but the backend keeps using the original
message's model. The model selection is dropped at three layers:
1. **Frontend:** `AgentChatPage.tsx`'s edit branch builds an
`EditChatMessageRequest` that omits `model_config_id`. The new-message
branch (a few lines below) does include it.
2. **SDK:** `codersdk.EditChatMessageRequest` has no `ModelConfigID`
field at all.
3. **Backend:** `chatd.EditMessageOptions` has no model field, and
`Server.EditMessage` always copies the original message's
`ModelConfigID` into the replacement message.
Once the replacement user message is inserted with the original model,
the `InsertChatMessages` CTE leaves `chats.last_model_config_id`
unchanged, so the assistant turn that follows runs against the old
model.
## Fix
Plumb the selected model through all three layers, defaulting to the
original message's model when the client doesn't override it. This
mirrors the `SendMessage` path, which already accepts a
`model_config_id` and validates it via
`resolveSendMessageModelConfigID`.
### Backend
- `codersdk/chats.go`: add `ModelConfigID *uuid.UUID` to
`EditChatMessageRequest`.
- `coderd/x/chatd/chatd.go`:
- Add `ModelConfigID uuid.UUID` to `EditMessageOptions`.
- In `EditMessage`, after fetching the edited message, resolve the
model: if `opts.ModelConfigID != uuid.Nil`, validate it exists with
`tx.GetChatModelConfigByID` (using `chatdModelConfigLookupContext`),
otherwise keep `editedMsg.ModelConfigID.UUID`. Pass the resolved ID into
`newChatMessage(...)`.
- Reuse the existing `ErrInvalidModelConfigID` sentinel.
- `coderd/exp_chats.go` (`patchChatMessage`):
- Read `req.ModelConfigID` (nil-safe), pass into
`chatd.EditMessageOptions`.
- Add a `case xerrors.Is(editErr, chatd.ErrInvalidModelConfigID)` arm
returning 400 `Invalid model config ID.`, matching the
`postChatMessages` handler.
### Frontend
- `site/src/pages/AgentsPage/AgentChatPage.tsx`:
- In the edit branch, set `model_config_id: effectiveSelectedModel ||
undefined` on the `EditChatMessageRequest`.
- On success, persist the chosen model to `lastModelConfigIDStorageKey`
so the next chat from this browser keeps the same default. Mirrors the
new-message branch.
### Generated
- `make site/src/api/typesGenerated.ts` and `make
coderd/apidoc/swagger.json` produce the updated `EditChatMessageRequest`
schema in `typesGenerated.ts`, `coderd/apidoc/{docs.go,swagger.json}`,
and `docs/reference/api/{chats.md,schemas.md}`.
## Tests
- `coderd/x/chatd/chatd_test.go`:
- `TestEditMessageWithModelConfigOverride`: edit with a different model
-> replacement message and `chats.LastModelConfigID` use the new model.
- `TestEditMessagePreservesModelConfigByDefault`: edit without
`ModelConfigID` -> original model preserved.
- `TestEditMessageRejectsUnknownModelConfig`: passes a random UUID ->
`ErrInvalidModelConfigID`, original message still present,
`LastModelConfigID` unchanged (rollback).
- `coderd/exp_chats_test.go` (under `TestPatchChatMessage`):
- `ChangesModel`: end-to-end via SDK; `edited.Message.ModelConfigID` and
`chat.LastModelConfigID` both match the new model.
- `InvalidModelConfigID`: random UUID -> 400 `Invalid model config ID.`.
</details>
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f847ff3731 |
test(coderd/x/chatd): skip stale notification flakes (#25177)
Skip the chatd tests that currently flake because the control notification flow cannot distinguish stale wake/status NOTIFY payloads from real interrupt requests. Each skipped test includes a TODO to re-enable it after the chatd notification flow refactor handles stale notifications correctly. Supersedes #25133, #25134, #25135, and #25139. Refs [CODAGT-353](https://linear.app/coder/issue/CODAGT-353), [CODAGT-356](https://linear.app/coder/issue/CODAGT-356), [CODAGT-360](https://linear.app/coder/issue/CODAGT-360), and [CODAGT-361](https://linear.app/coder/issue/CODAGT-361). > Mux working on behalf of Mike. |
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376fc80451 |
fix(coderd/x/chatd): discover workspace MCP tools mid-turn after create_workspace (#25169)
## Problem In `coderd/x/chatd/chatd.go` `runChat`, workspace MCP discovery is gated on `chat.WorkspaceID.Valid` at the start of each turn. New chats that bind their workspace mid-turn (via `create_workspace` or `start_workspace`) get an empty workspace tool list on the first step, and the model falls back to `execute` (bash) because no workspace MCP tools are advertised. **Repro:** new chat → "create a workspace and use MCP tools". No `/api/v0/mcp/tools` request hits the agent on turn 1; turn 2 in the same chat works fine. ## Fix - Add a `PrepareTools` callback to `chatloop.RunOptions`, analogous to `PrepareMessages`. It is invoked once before each LLM step with the current tool list. When it returns non-nil, the chatloop replaces `opts.Tools`, rebuilds the per-step tool definitions, and appends new tool names to `opts.ActiveTools` so newly injected tools are callable immediately. - Wire `PrepareTools` in `runChat` to trigger workspace MCP discovery the first time the chat snapshot reports a valid `WorkspaceID`. The previous top-of-turn discovery path is unchanged for chats that start with a workspace. - Extract the discovery logic into `Server.discoverWorkspaceMCPTools` so the top-of-turn and mid-turn paths share identical behavior (cache, agent resolution, `ListMCPTools` timeout, invalidation). Mid-turn discovery stays disabled in plan-mode turns and Explore subagents, matching the existing top-of-turn gate. The `workspaceMCPDiscovered` flag prevents redundant dials after the first successful discovery. ## Tests - `coderd/x/chatd/chatloop/chatloop_test.go`: two new `TestRun_PrepareTools*` cases covering injection on the next step and active-set merging when `ActiveTools` is non-empty. - `coderd/x/chatd/chatd_test.go`: `TestRunChat_WorkspaceMCPDiscoveryAfterMidTurnCreateWorkspace` drives `runChat` through a `create_workspace` tool call against a real Postgres + mocked agent conn and asserts the second streamed LLM request advertises the workspace MCP tool. Verified that the test fails (and pinpoints the missing tool) when the `PrepareTools` wiring is disabled. ## Validation ``` go test ./coderd/x/chatd/chatloop/... -count=1 go test ./coderd/x/chatd/... -count=1 make lint/emdash ``` <details> <summary>Decision log</summary> - Chose a per-step `PrepareTools` callback over mutating `opts.Tools` in place because `chatloop.Run` builds the `fantasy.Tool` definitions once at start; a hook is required to let the LLM see new tools on the next step. - Returned `[]fantasy.AgentTool` (not also active-tool-names) and let the chatloop derive name merges via `mergeNewToolNames`. This avoids leaking plan-mode gating decisions into the callback contract. - Kept the existing top-of-turn discovery path so chats that already have a workspace at turn start pay no extra latency. - Skipped reusing `ReloadMessages` (history reload) since this is purely a tool-availability concern; coupling it to a history reload would defeat the chatloop cache prefix optimizations. </details> --- _This pull request was generated by Coder Agents._ |
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5a5cd79c4c | fix: drop buffered chat parts after their durable message commits (#25164) | ||
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e56381eb61 |
feat: stream advisor tool output (#25032)
Stream advisor output into the advisor tool card while the nested advisor call is still running. This keeps the advisor implementation intentionally advisor-specific: the parent model still receives the same final structured tool result, while the frontend receives transient `tool-result.result_delta` parts to render partial advisor text in the expanded card. The final persisted chat history remains unchanged. Refs CODAGT-322. Generated by Coder Agents. <details> <summary>Implementation plan</summary> - Publish advisor text deltas from the nested `chatloop.Run` via `RunAdvisorOptions.OnAdviceDelta`. - Forward those deltas through `chatadvisor.Tool` with the parent advisor tool call ID. - Emit transient `ChatMessagePartTypeToolResult` websocket parts with `ResultDelta` from `chatd`. - Add `result_delta` to the generated tool-result TypeScript variant. - Accumulate tool result deltas in frontend stream state and keep the tool running until the final result arrives. - Render streamed advisor advice in the existing advisor card using streaming markdown mode, while retaining the updated advisor UI. </details> |
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915956460a |
feat(coderd/x/chatd): add compact turn status labels (#25043)
> Mux is acting on Mike's behalf. Changes chat turn-end summaries into compact status labels for the cached `last_turn_summary` and successful web push body. Uses a structured-output model call for successful turns, requiring a 2-5 word `label` and validating it to reject agent-centric phrasing. Pending and requires-action states keep deterministic status labels. Removes the earlier deterministic tool-signal pipeline in favor of the smaller structured-output path. |
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fb60bb0c08 |
chore(coderd/x/chatd): instrument PromoteQueued + stream subscriber for ENG-2645 (#25085)
TestPromoteQueuedWhileRequiresActionMixedTools has flaked three times across Windows and Ubuntu CI runners since 2026-05-06; local repro on the dev workspace has not surfaced it. The May 8 Ubuntu log shows all four PromoteQueued post-TX pubsub publishes reaching pg_notify, yet the test still times out 25s later, so the failure is downstream between the subscriber's listener and the test's events channel. Adds three Debug-level markers in chatd.go (no logic change) plus two t.Logf markers in the test's reader so the next CI occurrence pins down exactly which step failed. Closes ENG-2645 Closes coder/internal#1523 |
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bd6cc1aaf2 |
feat(coderd): add stop_workspace chatd tool and recovery classification (#24997)
## Summary Adds a `stop_workspace` tool to chatd so the model can recover from the "workspace running but agent dead" failure mode (e.g. an OOM that leaves the workspace running but the agent unreachable) by stopping and then starting the workspace. <img width="924" height="742" alt="image" src="https://github.com/user-attachments/assets/279dedb6-6e29-4fe1-8754-3a1f01e538bf" /> ## What changed **New `stop_workspace` chatd tool** (`coderd/x/chatd/chattool/stopworkspace.go`). Mirrors `start_workspace`: shares `WorkspaceMu` to serialize with create/start, waits for any in-progress build before issuing a stop, and is idempotent only after a successful Stop transition. Failed stop builds re-attempt rather than reporting success. **New `chatStopWorkspace` coderd hook** (`coderd/exp_chats.go`). Mirrors `chatStartWorkspace` minus the `RequireActiveVersion` gate. Stop should not be blocked by template version policy. **Differentiated recovery sentinels** (`coderd/x/chatd/chatd.go`). `errChatAgentDisconnected` instructs the model to call `stop_workspace` then `start_workspace`. `errChatDialTimeout` instructs a single retry, then user escalation if it repeats. The previous single message conflated transient and persistent failures. **Two-signal recovery gate.** Recovery is only surfaced when a tool call times out *and* a fresh DB read of the latest workspace agent says `Disconnected`. The previous draft escalated on the DB read alone, which would fire on a 30-second heartbeat blip (e.g. agent respawn) and prompt a destructive stop/start unnecessarily. **Cache-hit disconnected handling** now clears the cache and retries a fresh dial before escalating, rather than returning the recovery sentinel immediately. Latest-agent classification uses `GetWorkspaceAgentsInLatestBuildByWorkspaceID` instead of the chat's bound `AgentID`, so stale bindings after a rebuild don't misclassify. **Shared chattool helpers** in `coderd/x/chatd/chattool/chattool.go`: `latestWorkspaceBuildAndJob`, `publishBuildBinding`, `provisionerJobTerminal`. Applied to both `start_workspace` and `stop_workspace`. ## Notes - Reverts an earlier draft that widened `ask_user_question` to root standard turns. Plan-mode-only behavior is restored. - The `stop_workspace` tool currently renders via the generic chat tool-call UI. A follow-up frontend PR will prettify the `stop_workspace` tool and style it like the `start_workspace` tool. - Never-connected (`Timeout` status) agents are intentionally excluded from recovery. They indicate template or startup failure, not the running-but-dead case this PR targets. Closes CODAGT-315 |
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3925d3941b |
fix(coderd/x/chatd): wait long enough for cold-start workspace MCP discovery (#25035)
The 5s timeout cancelled cold-start ListMCPTools calls before the agent's 30s connectTimeout could settle, so workspace MCP tools never reached the LLM. Bump to 35s and scope to ListMCPTools only. |
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6fa7e84761 |
test(coderd/x/chatd): skip TestExploreChatSendMessageCannotMutateMCPSnapshot (#25023)
Skips `TestExploreChatSendMessageCannotMutateMCPSnapshot` while the chatd redesign is in flight. The test exposes a self-interrupt race in `processChat`'s control-pubsub subscriber that is structurally fixed by the redesign in #24444; skipping until then matches the existing `TestSubscribeRelayEstablishedMidStream` skip in `enterprise/coderd/x/chatd/chatd_test.go`. Relates to https://github.com/coder/internal/issues/1493. |
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100ebd9f3b |
test(coderd/x/chatd): deflake advisor chain mode snapshot (#25021)
`TestAdvisorChainMode_SnapshotKeepsFullHistory` was using the generic active chatd test server, which leaves periodic pending-chat polling enabled. That made the test inconsistent with the other OpenAI Responses API tests and allowed stale pending pubsub notifications to interrupt the second turn before the advisor request was observed. Use the existing OpenAI Responses test server helper so pending-chat acquisition is delayed and the test only starts processing after the SendMessage pending notification has been published. Closes https://github.com/coder/internal/issues/1510 |
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6b0518d051 |
fix: state-aware queued message promotion (#24819)
PromoteQueued now branches on chat status: synth tool results before the user message on requires_action, deferred reorder + Waiting on running so the worker's persist+auto-promote keeps partial output. Stale heartbeat falls through to the synchronous path; GetStaleChats picks up Waiting+queue to recover post-cleanup-crash. Endpoint returns 202. Closes CODAGT-119 |
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0bfb9f6f13 |
feat: show agent turn summary in agents sidebar (#24942)
Persists the agent-generated turn-end summary on `chats` and shows it as the Agents sidebar subtitle when present, falling back to the model name. Errors still take precedence. > Mux is acting on Mike's behalf. ## What changes **Storage.** New nullable `last_turn_summary` column on `chats` (migration `000486`). New `UpdateChatLastTurnSummary` query normalizes blank/whitespace input to `NULL`, preserves `updated_at` (so the chat does not jump to the top of the sidebar on summary writes), and uses an `expected_updated_at` stale-write guard so an older async summary cannot overwrite a newer turn. **Backend.** `coderd/x/chatd/chatd.go` decouples summary generation from webpush. Generated summaries persist for completed parent turns even when webpush is unconfigured or has no subscriptions. The same generated text is reused as the webpush body when webpush is configured, so the summary model is not called twice. Generic fallback push text is no longer persisted; it clears any stale summary instead. Error/interrupt/pending-action terminal paths clear `last_turn_summary` for the latest turn. **Frontend.** `AgentsSidebar.tsx` subtitle priority is now `errorReason || lastTurnSummary || modelName`, normalized via the existing `asNonEmptyString` helper from `blockUtils.ts`. ## Tests - `TestUpdateChatLastTurnSummary` (database): success, whitespace-to-NULL, stale guard rejects, `updated_at` preserved. - `TestUpdateLastTurnSummaryRejectsStaleWrites` (chatd internal): direct stale-`expected_updated_at` test. - `TestSuccessfulChatPersistsTurnSummaryWithoutWebPush`: persistence works without webpush subscriptions. - `TestSuccessfulChatSendsWebPushWithSummary`: same generated text drives both DB and push body. - `TestSuccessfulChatSendsWebPushFallbackWithoutSummaryForEmptyAssistantText`: fallback text is not persisted. - `TestErroredChatClearsLastTurnSummaryAndSendsWebPush`: error path clears the field. - `TestInterruptChatDoesNotSendWebPushNotification`: interrupt path clears the field, no push fires. - `AgentsSidebar.test.tsx`: subtitle priority for summary-present, error-wins, no-summary fallback, whitespace fallback. - `AgentsSidebar.stories.tsx`: `ChatWithTurnSummary` and `ChatWithTurnSummaryAndError`. ## Notes - No backfill. Existing chats keep showing the model name until their next turn completes. - Parent chats only in this iteration; the field is rendered on any `Chat` if a future change extends generation to children. - Decoupling generation from webpush adds quickgen model calls for completed parent turns that previously skipped generation when no subscriptions existed. Existing parent-only, assistant-text-present, `PushSummaryModel` configured, and bounded-timeout gates keep this behavior bounded. |
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46a60e6d5d |
refactor: move chat error kinds into codersdk (#24955)
Moves the chat error kind taxonomy from `coderd/x/chatd/chaterror` into `codersdk.ChatErrorKind` and types `ChatError.Kind` / `ChatStreamRetry.Kind` so generated TypeScript exposes an SDK-owned union, including `usage_limit`. Backend chat classification now references the SDK constants directly while preserving the existing JSON string values. Keeps chat usage-limit admission failures on their existing 409 response shape. The frontend maps structured usage-limit responses to the SDK-owned `usage_limit` kind, uses generated `TypesGen.ChatErrorKind` directly, and removes the local string union and alias. |
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4751416b29 |
fix!: persist structured chat errors (#24919)
**Breaking change for changelog:**
> `codersdk.Chat.last_error` now returns a structured `ChatError` object
(`{message, kind, provider, retryable, status_code, detail}`) instead of
a plain string. The chats API is experimental
(`/api/experimental/chats`), so this ships without a deprecation cycle;
consumers reading `chat.last_error` as a string must update to read
`chat.last_error.message`. SDK/generated TypeScript terminal error
payloads now use the single `ChatError` type; the live stream error
payload type is renamed from `ChatStreamError` to `ChatError`.
Persisted chat errors now carry the same provider-specific detail (kind,
provider, retryable, HTTP status, optional detail) as the live stream,
so refreshing a failed chat rehydrates with the full structured error
instead of a one-line headline.
Existing rows are migrated in place: legacy text errors are wrapped into
`{message, kind: "generic"}` so already-errored chats still render, and
rows with `last_error IS NULL` stay NULL. Internally, persisted fallback
decoding now reuses the existing `chaterror.KindGeneric` constant, with
no JSON value change.
Closes CODAGT-239
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0bb09935bc |
feat: add computer-use provider selection for AI agents (#24772)
Adds a deployment-wide setting to select the computer-use provider (Anthropic or OpenAI) for AI agents, plus the OpenAI computer-use runner needed to honor that selection. The setting is stored in `site_configs` under `agents_computer_use_provider`, defaults to Anthropic when unset, and is exposed via experimental GET/PUT endpoints under `/api/experimental/chats/config/computer-use-provider`. The chatd computer-use tool now dispatches to either `runAnthropicComputerUse` or `runOpenAIComputerUse` based on the resolved provider, with provider-specific result metadata for OpenAI screenshots. Frontend adds a provider dropdown to the Agents Experiments settings page nested under the virtual desktop toggle, with disabled state handling while virtual desktop is off and skeleton loaders while config queries are in flight. Hugo and Codex review follow-up: - Uses shared provider validation and clearer computer-use constant names. - Removes stale OpenAI pending-safety-checks commentary. - Documents why provider result metadata is needed for OpenAI screenshots. - Keeps the computer-use subagent visible when provider credentials are missing, then returns a clear spawn-time configuration error. - Uses OpenAI's recommended 1600x900 screenshot geometry to preserve the native 16:9 aspect ratio. - Moves OpenAI-specific computer-use helpers into `coderd/x/chatd/chatopenai/computeruse` after rebasing onto the provider package refactor in `main`. - Converts OpenAI pixel scroll deltas to Coder desktop wheel-click amounts. - Preserves OpenAI pointer modifiers with key down/up desktop actions and rejects unsupported non-left double-click buttons explicitly. - Maps OpenAI back/forward side-button clicks to browser navigation key actions. - Defaults omitted OpenAI click buttons to left-click. - Retries mouse release cleanup if the final OpenAI drag release fails. - Keeps computer-use subagent availability messages stable when provider config cannot be loaded, while logging the backend error. - Releases remaining OpenAI modifier keys if a synthetic key-up cleanup action fails. - Updates Storybook interaction stories so provider snapshots show the selected final provider. > Mux updated this PR description on behalf of Mike. |
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efda5c2c12 |
feat: disable Git controls when Git is not active (#24673)
closes CODAGT-148 In chats with no Git context (no repositories known to the watcher, no PR tab, no remote diff), the refresh button fires an "Unable to refresh git status" toast because the watcher WebSocket never opens. Derive `isGitActive = repositories.size > 0 || showRemoteTab` in `GitPanel` and use it to: - Disable the refresh button, unified-diff toggle, and split-diff toggle with a "Git is not set up for this chat" tooltip. - Show a dedicated empty state explaining how to enable Git, replacing the generic "No pushed changes yet" copy. Chats with at least one repository or a PR tab are unaffected; all controls remain enabled and behave as before. Adds a `GitNotActive` Storybook story with play-function assertions covering the disabled controls and empty-state copy. |
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2f855904be |
refactor: add dbgen chat generators and migrate test boilerplate (#24497)
- Adds chat-related dbgen generators covering defaults, overrides, and message field mapping. - Replaces raw single-row chat, message, provider, and model-config setup in tests with dbgen helpers. - Simplifies chat seed helpers after moving fixture setup into dbgen. > Generated with [Coder Agents](https://coder.com/agents). |
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e57525002c |
chore: remove agents experiment flag and mark feature as beta (#24432)
Remove the `ExperimentAgents` feature flag so the Agents feature is always available without requiring `--experiments=agents`. The feature is now in beta. Existing deployments that still pass `--experiments=agents` will get a harmless "ignoring unknown experiment" warning on startup. ### Changes **Backend:** - Remove `RequireExperimentWithDevBypass` middleware from chat and MCP server routes - Always include `AgentsAccessRole` in assignable site roles (later refactored to org-scoped on main; rebase keeps that) - Always set `AgentsTabVisible = true`, then drop the entire dead `AgentsTabVisible` metadata pipeline (Go htmlState field, populateHTMLState goroutine, HTML meta tag, useEmbeddedMetadata registration, mock); no production consumer reads it. `AgentsNavItem` already gates on `permissions.createChat`. - Make `blob:` CSP `img-src` addition unconditional - Remove `ExperimentAgents` constant, `DisplayName` case, and `ExperimentsKnown` entry **CLI:** - Graduate the agents TUI from `coder exp agents` to `coder agents` (moved from `AGPLExperimental()` to `CoreSubcommands()`) - Drop the `agent` alias so it does not collide with the hidden workspace-agent command - Rename implementation files `cli/exp_agents_*.go` -> `cli/agents_*.go` and internal identifiers (`expChatsTUIModel` -> `chatsTUIModel`, `newExpChatsTUIModel` -> `newChatsTUIModel`, `setupExpAgentsBackend` -> `setupAgentsBackend`, `startExpAgentsSession` -> `startAgentsSession`, `expAgentsPtr` -> `agentsPtr`, `expAgentsSession` -> `agentsSession`, `TestExpAgents*` -> `TestAgents*`). `expClient` (the `*codersdk.ExperimentalClient` local) is kept; `coderd/exp_chats*.go` and other still-experimental `cli/exp_*.go` commands are intentionally untouched. **Frontend:** - Remove experiment check from `AgentsNavItem` - render when `canCreateChat` is true - Remove `agentsEnabled` experiment check from `WorkspacesPage`, then gate `chatsByWorkspace` on `permissions.createChat` so users without chat access don't trigger the per-page DB query (Copilot review feedback) - Add `FeatureStageBadge` (beta) next to the Coder logo in the Agents sidebar (desktop + mobile) **Docs:** - Remove experiment flag setup instructions from `early-access.md` and `getting-started.md` (and rename `early-access.md`'s "Enable Coder Agents" heading to "Set up Coder Agents", since there is no enablement step left) - Update `chats-api.md` and `getting-started.md`'s Chats API note to say "beta" instead of "experimental" - `docs/manifest.json`: drop "experimental" from the Chats API sidebar description - `make gen` regenerated `docs/reference/cli/agents.md` and the CLI index - `scripts/check_emdash.sh`: exclude `cli/testdata/*.golden` and `enterprise/cli/testdata/*.golden` from the new repo-wide emdash lint, since serpent emits emdash borders in every generated `--help` golden file **Tests:** - Remove `ExperimentAgents` setup from all test files (14 occurrences across 7 files) - Update stale "with the agents experiment" comments in `coderd/x/chatd/integration_test.go` and `coderd/mcp_test.go` <img width="1185" height="900" alt="image" src="https://github.com/user-attachments/assets/b420bc8f-41d6-42c6-abd8-ad572533d651" /> > 🤖 Generated by Coder Agents |
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17409a515c |
feat(coderd): wire advisor runtime to admin config (#24622)
## Summary Wire the advisor runtime into `chatd`: read the admin config on every `runChat`, gate tool registration and system-prompt guidance on a **single eligibility boolean**, register the `advisor` built-in tool, and apply the exclusive-tool policy from PR 1. ## Motivation This is the integration seam where PRs 1–3 come together into an actual user-visible feature. Gating is deliberately root-chat-only for the initial rollout; child/sub-agent chats still do not see the tool or the guidance block. ## Changes ### `coderd/x/chatd/chatd.go` - `loadAdvisorConfig(ctx, logger)` reads the admin config (from PR 3) on each run. If `ModelConfigID` is set, it resolves the override model via `configCache.ModelConfigByID`; otherwise it falls back to the outer chat's model and provider options. Reasoning effort is plumbed into provider options via `applyAdvisorReasoningEffort`. - One computed `advisorEligible` boolean drives **both** tool registration (after skill tools, before MCP tools) and guidance injection via `chatprompt.InsertSystem(prompt, chatadvisor.ParentGuidanceBlock)`. - `setAdvisorPromptSnapshot` closures capture the outer prompt state at the right points in the lifecycle (`renderPlanPathPrompt`, `ReloadMessages`, `PrepareMessages`) so the advisor handoff uses the same context the outer model saw. - `ExclusiveToolNames["advisor"] = true` is passed to `chatloop.Run()` so mixed batches are rejected cleanly (PR 1 machinery). - `builtinToolNames["advisor"] = true` so metrics keep advisor distinct from the generic `mcp` label. ### Child-chat guard - Child/sub-agent chats deliberately do not see the advisor tool or guidance block, to avoid recursion/cost blowups until the pattern is proven. This is covered by `TestAdvisorGating_ChildChat` (currently skipped pending a rewrite against the new `plan`/`explore` subagent infrastructure; core gating logic is still exercised by `TestAdvisorGating_Disabled` and `TestAdvisorGating_RootChat`). ## Stack context This is **PR 4 of 6** in the advisor feature stack. It depends on PRs 1–3. ## Scope / non-goals - No frontend changes. The feature is invocable via the backend but renders generically until PR 5. - No separate provider runner; the nested advisor call reuses the existing model/provider path. - No DB migration. ## Validation - `go test ./coderd/x/chatd/... -run TestAdvisor` - `go build ./...` - `make lint` --- <details> <summary>📋 Implementation Plan (shared across the advisor stack)</summary> # Plan: Add a Mux-style advisor tool to coder agents/chatd ## Outcome Add a first-class `advisor` tool to agent chats in `coderd/x/chatd` that feels native to Coder: - it is a built-in server-side tool, not an MCP/dynamic-tool workaround; - it performs a nested **tool-less** model call for strategic advice; - it is exposed only when eligible, and the prompt mentions it only when it is actually available; - it is treated as a **planning-only** tool so it does not run alongside action tools in the same batch; - it tracks usage/cost separately enough for operators to reason about it; - it has a minimally polished UI in the Agents page; - and it ships with explicit dogfooding evidence, including screenshots and repro videos. ## Design decisions to lock before coding 1. **Primary architecture:** native built-in tool in `chattool/`, backed by a small `chatadvisor` package. 2. **Nested model execution:** reuse chatd's existing model/provider stack for a one-step, tool-less advisor call rather than inventing a new provider pathway. 3. **Execution policy:** treat `advisor` as an exclusive/planning-only tool; mixed batches must return structured policy errors and force the model to retry cleanly. 4. **Availability:** initial rollout is for root agent chats only; disable for child/sub-agent chats until recursion/cost policy is proven. 5. **Prompt sync:** use one eligibility boolean to drive both tool registration and advisor guidance injection. 6. **Persistence/cost split:** MVP should keep advisor usage visible in result metadata and server metrics; only add DB schema if product/billing explicitly needs queryable advisor-specific cost. 7. **UI scope:** generic tool rendering is an acceptable temporary milestone during backend bring-up, but the release candidate should include a dedicated lightweight advisor renderer. ## Delivery model The work should be executed as coordinated workstreams with one integration owner and parallel contributors for low-conflict areas. The integration owner should own `coderd/x/chatd/chatd.go` because prompt assembly, tool registration, and model resolution all converge there. ## Detailed workstreams ### Repo evidence used for this plan <details> <summary>Mux reference and current chatd seams</summary> **Mux reference implementation** - `src/node/services/tools/advisor.ts` — native advisor tool implementation. - `src/common/constants/advisor.ts` — advisor prompt/constants and truncation policy. - `src/common/utils/tools/tools.ts` — conditional tool registration. - `src/node/services/streamContextBuilder.ts` — injects advisor guidance only when the tool is available. **Current chatd seams** - `coderd/x/chatd/chatd.go` - `processChat()` — tool assembly, prompt assembly, and chatloop invocation. - `resolveChatModel()` — current model/provider/key resolution seam. - `type Config struct` — server-level chatd configuration surface. - `coderd/x/chatd/chatloop/chatloop.go` - `Run()` — main streaming/model loop. - `executeTools()` — built-in tool execution/batching seam. - `coderd/x/chatd/chattool/` — built-in tool implementations. - `site/src/pages/AgentsPage/components/ChatElements/tools/Tool.tsx` — tool renderer dispatch. - `site/src/pages/AgentsPage/components/ChatConversation/messageParsing.ts` and `ConversationTimeline.tsx` — tool/result merge and rendering flow. </details> ### Workstream map and ownership | Workstream | Primary owner | Main files | Can run in parallel? | Done when | |---|---|---|---|---| | 0. Integration + gating | Integration lead | `coderd/x/chatd/chatd.go` | No; central merge lane | Tool registration, prompt sync, and model selection are wired together | | 1. Advisor runtime + tool | Backend agent | new `coderd/x/chatd/chatadvisor/`, new `coderd/x/chatd/chattool/advisor.go` | Yes | Tool can perform a tool-less advisor call in memory and return structured results | | 2. Planning-only execution policy | Chatloop agent | `coderd/x/chatd/chatloop/chatloop.go`, related tests | Yes | Mixed `advisor` + action-tool batches are rejected cleanly and deterministically | | 3. Metrics/usage/config | Backend/telemetry agent | `chatd.go`, `chatloop/metrics.go`, optional config plumbing | Partially; coordinate with integration lead | Advisor usage is separately visible in metadata/metrics and limits are enforced | | 4. Frontend rendering | Frontend agent | `site/.../tools/Tool.tsx`, new `AdvisorTool.tsx`, stories | Yes after result schema stabilizes | Advisor renders as a readable card and story tests pass | | 5. Dogfood + QA evidence | QA agent | dev server, Storybook, dogfood output | After backend + UI are usable | Repro videos, screenshots, and a concise QA report exist | ### Parallelization rules - **Do not split `coderd/x/chatd/chatd.go` across multiple execution agents without an integration lead.** That file owns prompt building, tool registration, model resolution, and cost persistence. - Workstreams 1 and 2 can be developed in parallel and then stacked onto the integration branch. - Workstream 4 should begin once the backend result schema is agreed on, even if the backend is still behind a feature flag. - Any agent that needs to re-check Mux behavior should clone `coder/mux` into a temporary directory (for example, `$(mktemp -d)/mux`) and inspect it read-only; do not vendor or copy code from Mux directly. ## Phase 0 — Preflight and guardrails ### Goals - Align the team on the smallest shippable architecture. - Prevent scope creep into MCP/dynamic-tool/sub-agent variants. - Decide upfront what is MVP vs. follow-up. ### Tasks 1. **Confirm the MVP boundary.** - Ship a built-in advisor tool first. - Do **not** make MCP, dynamic tools, or sub-agents the primary implementation. - Do **not** add transient streaming phases in the first backend PR unless they fall out almost for free. 2. **Confirm local workflow hygiene before coding.** - Ensure the repo is using the project git hooks from `scripts/githooks`. - Do not bypass hooks with `--no-verify`. - Use `./scripts/develop.sh` for the full dev server rather than manual build/run commands. 3. **Lock the model-selection policy.** - **Recommended MVP:** advisor uses the same resolved provider/model/cost config as the current chat, with advisor-specific max-output and usage caps. - **Follow-up only if required:** add a separate `AdvisorModelConfigID`-style override that resolves through the existing `configCache`/model-config path. Do not invent a new free-form `provider:model` parser if chatd already stores provider/model separately. 4. **Lock the persistence policy.** - **Recommended MVP:** no DB migration. Persist advisor-visible metadata in the tool result and record separate metrics in memory/Prometheus. - **Only if product/billing explicitly asks for queryable advisor cost:** add a later DB migration or usage table, following the normal `queries/*.sql` + `make gen` workflow. 5. **Create an execution ADR note in the work item or tracking doc.** - Capture: built-in tool, tool-less nested call, root-chat-only rollout, exclusive execution policy, MVP no-DB-migration default. ### Quality gate - Everyone on the team can state the same answers to these questions: - Is advisor a built-in tool? **Yes.** - Can advisor run with action tools in the same batch? **No.** - Does advisor get tools of its own? **No.** - Is a DB migration required for MVP? **No, unless billing insists.** ## Phase 1 — Build the advisor runtime and tool wrapper ### Goals Create the core advisor implementation in a way that is easy to test and keeps `chattool/` thin. ### Files to add - `coderd/x/chatd/chatadvisor/types.go` - `coderd/x/chatd/chatadvisor/guidance.go` - `coderd/x/chatd/chatadvisor/handoff.go` - `coderd/x/chatd/chatadvisor/runtime.go` - `coderd/x/chatd/chatadvisor/runner.go` - `coderd/x/chatd/chattool/advisor.go` ### Responsibilities by file 1. **`types.go`** - Define the input/result schema used by the tool and UI. - Keep the result shape close to Mux so the UI and model both have predictable cases. - Recommended result variants: - `advice` - `limit_reached` - `error` Recommended shape: ```go type AdvisorArgs struct { Question string `json:"question"` } type AdvisorResult struct { Type string `json:"type"` Advice string `json:"advice,omitempty"` Error string `json:"error,omitempty"` AdvisorModel string `json:"advisor_model,omitempty"` RemainingUses int `json:"remaining_uses,omitempty"` Usage *AdvisorUsageResult `json:"usage,omitempty"` } ``` 2. **`guidance.go`** - Hold two strings: - the nested advisor system prompt; - the parent-agent guidance block to inject into the outer system prompt. - The nested advisor prompt must say, in plain language: - you are advising the parent agent; - you do not address the end user directly; - you do not claim actions happened; - you return concise strategic guidance and tradeoffs. 3. **`runtime.go`** - Define the per-run runtime state. - Recommended fields: - resolved model + model config; - provider keys/options reused from the outer chat; - `MaxUsesPerRun`; - `MaxOutputTokens`; - atomic/current call counter; - callback(s) to obtain the current prompt snapshot and current-step snapshot; - optional metrics/usage hook. - Add fail-fast validation for impossible config: nil model, non-positive limits, empty prompt builders, etc. 4. **`handoff.go`** - Build the advisor handoff message from: - the explicit question; - the exact prompt/messages the parent model just used; - the current step's text/reasoning snapshot, if available; - the most recent relevant tool outputs, if they are already in the prompt snapshot. - **Important:** use the already-prepared outer prompt tail, not a fresh DB reload. That keeps the advisor aligned with compaction and the exact context the outer model saw. - Apply hard truncation budgets with recent-context bias. 5. **`runner.go`** - Execute the nested advisor call. - **Recommended implementation:** call `chatloop.Run()` in an in-memory, one-step mode: - `Tools: nil` - `ProviderTools: nil` - `MaxSteps: 1` - `PersistStep`: capture the assistant output in memory instead of writing DB rows - Reuse the existing provider/model/cost path instead of building a second provider runner. - Assert that no tool definitions are passed to the nested call. 6. **`chattool/advisor.go`** - Keep this file thin and consistent with other built-ins. - Responsibilities: - decode `AdvisorArgs`; - validate `Question` is non-empty and bounded; - call the `chatadvisor` runner; - return a structured tool response. ### Defensive programming requirements - Assert `Question` is non-empty after trimming. - Assert runtime limits are positive. - Assert the nested advisor call runs with zero tools/provider tools. - Assert `AdvisorResult.Type` is one of the known variants before returning. - Assert remaining uses never goes negative. ### Acceptance criteria - A unit test can call the advisor tool with a fake model and receive a stable `advice` result. - The nested advisor call is impossible to run with tools accidentally attached. - The core logic lives in `chatadvisor/`, not embedded inside `chatd.go`. ## Phase 2 — Wire advisor into chatd and keep prompt/tool availability in sync ### Goals Register the tool in the right place, expose it only when eligible, and inject system guidance only when the tool is present. ### Files to modify - `coderd/x/chatd/chatd.go` - optionally a small helper file if `chatd.go` becomes too crowded ### Tasks 1. **Compute one eligibility boolean in `processChat()`.** Recommended inputs: - server-level advisor enabled flag; - root chat only (`chat.ParentChatID == uuid.Nil` or equivalent existing root/child check); - a usable resolved model/provider exists; - optional experiment/workspace/org gate if product wants staged rollout. 2. **Create the runtime once per outer chat run.** - Use the model/config/keys resolved by `resolveChatModel()`. - Reuse provider options from the current chat's `ChatModelCallConfig`. - Set `MaxUsesPerRun` and `MaxOutputTokens` from advisor config defaults. 3. **Register the tool in the built-in tool block.** - Insert after the skill tools and before MCP tools in `processChat()`. - Record `builtinToolNames["advisor"] = true` so metrics stay bounded. 4. **Inject advisor guidance into the outer system prompt using the same boolean.** - Use `chatprompt.InsertSystem()` in the same prompt assembly path that already injects user/system instructions. - Place the block near the existing instruction insertion, before plan-path/skill context blocks. - Wrap the guidance in an explicit tag like `<advisor-guidance>` so it is easy to spot in tests and future refactors. 5. **Keep advisor out of child chats for the first release.** - That avoids recursion/cost blowups with `spawn_agent` / `wait_agent` flows. - Document this explicitly in the rollout notes and tests. ### Acceptance criteria - If advisor is disabled, neither the tool nor the prompt guidance appears. - If advisor is enabled, both the tool and the prompt guidance appear. - Root chats can use advisor; child chats cannot. - Built-in tool names include `advisor` so metrics do not collapse it into the generic `mcp` label. ## Phase 3 — Enforce planning-only execution policy in `chatloop` ### Goals Prevent the model from calling `advisor` and action tools in the same execution batch. ### Files to modify - `coderd/x/chatd/chatloop/chatloop.go` - related chatloop tests ### Recommended implementation Keep the MVP small; do **not** build a general policy engine yet. 1. Add a minimal field to `chatloop.RunOptions`, for example: ```go ExclusiveToolName *string ``` 2. In `Run()` / `executeTools()`, detect the case where the exclusive tool appears in the same local-tool batch as any other locally executed tool. 3. When that happens, synthesize structured tool-result errors for the affected calls instead of executing anything in the batch. - `advisor` should receive a clear error like: _advisor must be called by itself before action tools_. - The sibling action tools should receive a paired policy error like: _this tool was skipped because advisor must run alone_. 4. Let the outer model see those tool errors and retry cleanly. - This is simpler and safer than partial execution or hidden deferral. - It preserves deterministic transcript history for debugging. 5. Pass the just-finished step snapshot into the tool execution context. - The advisor runtime should be able to see the current step's text/reasoning content, because that is often the best hint about what the outer model is trying to decide. ### Why this is the right fit - It matches the intended semantics: advisor is consulted **before** taking action. - It avoids subtle race conditions caused by concurrent built-in tool execution. - It keeps the behavior easy to test with fake models. ### Acceptance criteria - A model-emitted batch containing only `advisor` succeeds. - A model-emitted batch containing `advisor` plus any other locally executed tool returns deterministic policy errors and executes nothing. - Non-advisor tool execution stays unchanged for normal chats. ## Phase 4 — Usage limits, metrics, and configuration ### Goals Make advisor safe to operate without over-designing billing/storage in the first release. ### Files to modify - `coderd/x/chatd/chatd.go` - `coderd/x/chatd/chatloop/metrics.go` as needed - `coderd/x/chatd/chatd.go` `Config` struct and constructor path - optional follow-up config/db files only if a separate advisor model or persistent billing is required ### Tasks 1. **Add explicit server config knobs for MVP.** Recommended fields on `chatd.Config` or a nested advisor config struct: - `AdvisorEnabled bool` - `AdvisorMaxUsesPerRun int` - `AdvisorMaxOutputTokens int64` 2. **Track usage per outer run.** - Reset the counter for each `processChat()` invocation. - Return `remaining_uses` in the tool result. - Return `limit_reached` when the cap is exhausted. 3. **Expose advisor usage metadata in the tool result.** - Include model name and token/cost summary if available. - Use the same `callConfig.Cost` calculation path as the outer chat for MVP if advisor reuses the same model. 4. **Record server-side metrics.** - Count advisor invocations, failures, and latency. - Ensure they show up under the built-in tool label `advisor`. 5. **Optional decision gate: separate advisor model.** - If product insists on a stronger/different advisor model, add a follow-up config hook that resolves another existing chat model config through the same `configCache` path. - Keep that out of the first landing PR unless it is required for acceptance. 6. **Optional decision gate: queryable advisor cost.** - If this becomes required, spin a follow-up DB task: - update `coderd/database/queries/*.sql`; - add migration files; - run `make gen`; - update audit mappings if a new auditable type/field is introduced. ### Acceptance criteria - Advisor calls are capped per outer run. - Limit exhaustion is user-visible in the tool result. - Metrics distinguish advisor calls from other built-in tools. - MVP does not require a schema migration unless explicitly approved. ## Phase 5 — Frontend rendering and Storybook coverage ### Goals Make advisor feel intentional in the Agents UI without blocking the backend on fancy streaming UI. ### Files to modify - `site/src/pages/AgentsPage/components/ChatElements/tools/Tool.tsx` - new `site/src/pages/AgentsPage/components/ChatElements/tools/AdvisorTool.tsx` - Storybook story file(s) in the same tools directory ### Delivery strategy 1. **Intermediate milestone during backend bring-up:** rely on the existing generic tool renderer if needed. - This is acceptable only as a short-lived integration checkpoint. 2. **Release milestone:** add a dedicated lightweight `AdvisorTool` renderer. - Reuse existing primitives: - `ToolCollapsible` - `ToolIcon` - `Response` for markdown/prose rendering - `ScrollArea` if the advice can be long - Keep styling light and consistent with the Agents page. - Do not add unnecessary React memoization in `site/src/pages/AgentsPage/`; that area is already React-Compiler aware. 3. **Render the structured result states cleanly.** - `advice` — readable prose/markdown with optional metadata footer. - `limit_reached` — warning-style message. - `error` — error state with visible fallback text. - `running` — existing tool loading state/spinner is enough for MVP. 4. **Add Storybook coverage instead of ad-hoc component tests.** Recommended stories: - successful advice; - running/loading; - limit reached; - error. 5. **Keep the UI contract narrow.** - Prefer one text field like `advice` plus small metadata rather than a deeply nested schema. - That keeps the UI resilient to prompt iteration. ### Acceptance criteria - The advisor tool card renders readable content rather than raw quoted JSON in the final release branch. - Running, limit, and error states are visibly distinct. - Storybook stories and play assertions cover the new states. - Existing tool rendering flows remain unchanged. ## Phase 6 — Automated tests and validation gates ### Backend tests to add 1. **Advisor runtime/tool tests** - question validation; - tool-less nested execution assertion; - success result shaping; - limit-reached result shaping; - error result shaping. 2. **Prompt/gating tests in chatd** - advisor disabled ⇒ no tool, no guidance; - advisor enabled/root chat ⇒ tool + guidance; - child chat ⇒ advisor absent. 3. **Chatloop policy tests** - advisor alone runs; - advisor + action tool mixed batch returns deterministic policy errors; - non-advisor tools still execute normally. 4. **Usage/metrics tests** - per-run cap resets correctly; - builtin tool labeling includes `advisor`; - returned metadata includes model/usage summary when available. ### Frontend tests to add - Storybook `play()` assertions for the advisor renderer states. - Verify expand/collapse behavior and visible fallback text. - Verify the message timeline still renders adjacent tools correctly. ### Recommended command sequence Run these as the implementation matures, not only at the end: 1. Backend-focused gate after phases 1–4: - `make test RUN=TestAdvisor` - `make test RUN=TestChatloopAdvisor` - `make lint` 2. Frontend-focused gate after phase 5: - `pnpm test:storybook src/pages/AgentsPage/components/ChatElements/tools/AdvisorTool.stories.tsx` - `pnpm lint` - `pnpm format` 3. Final repo gate before handoff: - `make pre-commit` - run any additional targeted `make test RUN=...` selections covering touched chatd paths > Use the exact new test names the implementing agents create; the names above are recommended anchors, not existing tests. ## Dogfooding plan ### Principle Dogfood the change as a real agent feature, not just a unit-tested backend. Per the dogfood and `agent-browser` skills, the reviewer should get **watchable repro videos** plus screenshots that make the behavior obvious without reading logs. ### Required setup 1. Start the full dev environment with: - `./scripts/develop.sh` 2. If the frontend renderer changes, also start Storybook from `site/` with: - `pnpm storybook --no-open` 3. Use `agent-browser` directly — **never `npx agent-browser`**. 4. Use named browser sessions and an output folder such as: - `./dogfood-output/advisor/` - with subfolders `screenshots/` and `videos/` ### Evidence protocol For every interactive scenario below: 1. Start video recording **before** the action. 2. Capture step-by-step screenshots at human pace. 3. Capture one annotated screenshot of the final state. 4. Stop the recording. 5. Note the exact pass/fail observation in the QA report. For static UI states (for example Storybook error/limit cards), an annotated screenshot is sufficient; video is optional but still encouraged by this project’s review preference. ### Dogfood scenarios #### Scenario A — Happy path in the real Agents UI **Goal:** prove that a root agent chat can invoke advisor and produce a readable recommendation before taking further action. Steps: 1. Open the Agents page with an advisor-enabled root chat. 2. Start a repro video. 3. Send a prompt that should reasonably trigger strategic planning, such as an architecture or multi-tradeoff question. 4. Capture screenshots of: - the prompt before send; - the running advisor state; - the completed advisor card and the assistant’s follow-up response. 5. Stop recording. Pass criteria: - advisor appears in the timeline; - the rendered result is readable; - the assistant can continue after consuming the advisor output. #### Scenario B — Advisor unavailable path **Goal:** prove the feature is truly gated. Suggested variants (at least one is required, both are better): - feature flag/config off; - child/sub-agent chat. Evidence: - annotated screenshot of the chat/tool state showing advisor is absent; - short video if toggling the gate live is part of the repro. Pass criteria: - no advisor tool is available; - no advisor-specific prompt behavior leaks through. #### Scenario C — UI states in Storybook **Goal:** prove the renderer handles non-happy states cleanly. Required story states: - success/advice; - running; - limit reached; - error. Evidence: - one screenshot per state; - at least one short video showing collapse/expand behavior. Pass criteria: - success renders readable advice; - limit/error have visible fallback text; - the component behaves like the other tool cards. #### Scenario D — Regression sweep of nearby tools **Goal:** ensure advisor does not break the surrounding chat timeline. Check at minimum: - another existing built-in tool still renders correctly near advisor; - sub-agent/tool cards still expand/collapse normally; - no obvious console errors appear in the Agents page during the advisor flow. Evidence: - screenshots of adjacent tool cards; - console/error capture if anything suspicious appears. ### `agent-browser` usage notes for the QA agent - Prefer `agent-browser batch` for 2+ sequential commands when no intermediate parsing is needed. - Use `snapshot -i` to discover interactive refs. - Re-snapshot after navigation or major DOM changes. - Avoid `wait --load networkidle` unless the page is known to go idle; prefer explicit element/text waits or short fixed waits. - Record videos at human pace and include pauses that a reviewer can follow. ## Rollout plan ### Initial rollout - Gate behind a server-side advisor-enabled flag. - Enable only for selected internal/root agent chats first. - Watch metrics for: - invocation count; - failure rate; - latency; - obvious retry loops. ### Expansion conditions Expand beyond the initial rollout only after the following are true: - mixed-batch policy behavior is stable; - cost impact is understood; - frontend UX is readable in production-like dogfood; - no recursion surprises have appeared with sub-agent flows. ### Explicit non-goals for the first release - advisor inside child/sub-agent chats; - provider-agnostic streaming phase UI; - MCP-based external advisor implementation; - mandatory DB-backed advisor cost reporting. ## Final acceptance checklist - [ ] `advisor` is a built-in chatd tool, not an MCP/dynamic-tool substitute. - [ ] The nested advisor call is tool-less and bounded to one in-memory step. - [ ] One eligibility boolean controls both tool registration and prompt guidance injection. - [ ] Root chats can use advisor; child chats cannot in the initial rollout. - [ ] Mixed advisor/action batches produce deterministic policy errors instead of partial execution. - [ ] Per-run usage caps and limit-reached behavior work. - [ ] Advisor usage is visible in metadata/metrics without forcing a DB migration for MVP. - [ ] The Agents UI has a readable advisor card and Storybook coverage. - [ ] Dogfooding produced screenshots and repro videos for the required scenarios. - [ ] Validation commands (`make lint`, targeted `make test`, Storybook tests, `make pre-commit`) passed before handoff. ## Suggested PR split 1. **PR 1 — Backend foundation** - `chatadvisor/` package - `chattool/advisor.go` - `chatloop` exclusive policy - chatd gating/prompt sync - backend tests 2. **PR 2 — Frontend + QA** - advisor renderer - stories/play assertions - dogfood artifacts and QA notes 3. **PR 3 — Optional follow-ups only if demanded by stakeholders** - separate advisor model override - persistent advisor billing/queryability - transient phase-stream UX </details> --- _Generated with [`mux`](https://github.com/coder/mux) • Model: `anthropic:claude-opus-4-7` • Thinking: `max`_ |
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ab75e46f1d | fix: record debug runs for proposed chat titles (#24820) | ||
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dd49a818f9 |
fix: export chatd.Start to separate server lifecycle (#24761)
chatd.New() no longer auto-starts the acquire/wake loop. Callers that want chat processing call server.Start() explicitly. Tests that want a passive server skip Start(); heartbeat, stream janitor, and stale recovery still run. Closes coder/internal#1502 |
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3c450899ea |
fix: pass agent context config explicitly instead of reading env (#24759)
The CODER_AGENT_EXP_* env vars are agent-internal options. When set in the workspace environment they leak to MCP subprocesses and user shells. ReadEnvConfig() captures the values and ClearEnvVars() strips them before the reinit loop, so config survives agent restarts. NewAPI and ReadEnvConfig both use applyDefaults() to fill zero fields. The chatd test passes config via agenttest.WithContextConfigFromEnv(). |
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ed33e28b13 |
fix(coderd/x/chatd): wake after auto-promoting queued message (#24714)
`tryAutoPromoteQueuedMessage` in `processChat`'s deferred cleanup could set a chat back to `pending` without waking the processor. The processor only noticed on the next 10ms poll, so under load tests like `TestAutoPromoteQueuedMessageFallsBackForInvalidQueuedModelConfigID` could time out waiting for the second streaming request (#1500). Call `p.signalWake()` after the promoted-message publishes when `promotedMessage != nil`, matching the pattern used by `CreateChat`, `SendMessage`, `EditMessage`, `PromoteQueued`, and `InterruptChat`. Make the regression helper `testAutoPromoteQueuedMessageFallback` deterministic by setting `PendingChatAcquireInterval = time.Hour` and synchronizing on a `secondRunStarted` channel instead of polling `requestCount`, so the test fails without the wake instead of relying on the 10ms ticker. Closes https://github.com/coder/internal/issues/1500 > Mux is acting on Mike's behalf. |
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0211448d09 |
fix(coderd): sanitize Anthropic provider tool history (#24706)
Anthropic can reject replayed chat histories when a provider-executed tool call, such as `web_search`, is present without its matching provider result block. This sanitizes unpaired Anthropic provider-executed tool calls during prompt reconstruction, before Anthropic requests, and before persistence so existing poisoned histories can continue and new malformed turns are not stored. Resolves: CODAGT-259 > Mux is acting on Mike's behalf. |
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c7cac9debe |
fix: persist per-turn model on chats and queued messages (#24688)
Previously, `chats.last_model_config_id` was not updated when a user sent a mid-chat message with a different model, and queued messages did not store their own per-turn model, so promotion ran against whatever the chat row said at promote time. Chat watch events also did not merge `last_model_config_id` into the site's root, child, and per-chat caches, so sidebar labels stayed stale after direct sends and queued promotions. - Add nullable `chat_queued_messages.model_config_id`, backfilled from `chats.last_model_config_id`. Queued inserts round-trip the effective model id at enqueue time. - In `coderd/x/chatd`, direct sends update `chats.last_model_config_id` inside the same transaction that inserts the admitted user message. Manual promotion and auto-promotion use the queued row's stored `model_config_id`, with a fallback to `chats.last_model_config_id` for legacy NULL rows during rollout. `PromoteQueuedOptions.ModelConfigID` is now ignored. - On the site, extract `mergeWatchedChatSummary` and `mergeWatchedChatIntoCaches` in `site/src/api/queries/chats.ts` so status-change watch events merge `last_model_config_id` into the root infinite chat list, the parent-embedded child entry, and the per-chat `chatKey(chatId)` cache. `updated_at` guards against stale watch payloads clobbering newer cached state, while diff status events still merge their PR metadata because they are timestamped outside the chat row. Watch timestamps are compared as instants so variable fractional precision does not make fresh events look stale. - Queued promotion validates stored model config IDs before admission. Invalid legacy queued IDs fall back to the chat's current model config instead of dropping the queued message during auto-promotion. - Backend and frontend regression coverage added for admission, queue promotion (including FIFO across mixed models, legacy NULL fallback, and invalid queued model IDs), and chat watch cache merging. > Mux is acting on Mike's behalf. |
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a02339c66a |
fix(coderd/x/chatd): prevent invalid tool results from poisoning chat history (#24663)
- **computeruse.go**: Decode base64 screenshot data before storing in
`ToolResponse.Data` (was casting base64 string to bytes without
decoding)
- **chatloop.go**: Re-encode `ToolResponse.Data` to base64 via
`base64.StdEncoding.EncodeToString` instead of `string()` cast
- **mcpclient.go**: UTF-8 validate all text from MCP responses in
`convertCallResult()` using `strings.ToValidUTF8`
- **chatprompt.go (persist)**: Defense-in-depth UTF-8 sanitization of
text and media Text fields before database storage
- **chatprompt.go (replay)**: Antivenom layer that validates base64 and
UTF-8 at read time, auto-healing already-poisoned chats without
requiring a migration
- `TestToolResultAntivenom`: 4 subtests covering poisoned text, poisoned
media, valid media round-trip, and media with invalid UTF-8 text
- Adds `TestConvertCallResult_UTF8Sanitization`: 4 subtests covering invalid
UTF-8 in TextContent, EmbeddedResource, valid passthrough, and
multi-part
- Adds `TestComputerUseTool_Run_ScreenshotDataIsDecodedBinary`: Verifies no
double-encode in the computer-use path
- Updated existing computer-use tests for the new decoded-binary
contract
> 🤖
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dbcc654d28 |
feat: snapshot explore subagent tool entitlements (#24638)
Explore sub-agents previously could not use `web_search` or external MCP tools. `runChat` hard-skipped both for Explore. Lifting those guards naively would over-grant tools, because a child chat could outlive the spawning turn's plan-mode filter. This change persists the spawning parent turn's filtered external MCP server IDs onto the child Explore chat, and simplifies the Explore provider-tool filter in `runChat`: - New `resolveExploreToolSnapshot` helper: computes the child's inherited external MCP subset by running the parent's configs through `filterExternalMCPConfigsForTurn` (plan-mode policy) and, if the parent is itself an Explore child, further narrowing to the parent's own persisted `MCPServerIDs`. The result is written to the child's `MCPServerIDs` column at spawn time. - The existing `mcp_server_ids` column is the sole durable snapshot. No new chat column is added. - `runChat` for Explore children: loads MCP tools from the persisted snapshot, and keeps only `web_search` from provider-native tools (to block computer-use and other write-style tools, since Explore is read-only). Whether `web_search` is actually available is a per-model decision, determined by the current model config, just like a main chat. - Built-in Explore allowlist is unchanged. Workspace-local MCP remains excluded for Explore. Verification: `go build ./...`, `go test ./coderd/x/chatd/... -count=1`, `make gen` (clean tree), `make lint/emdash`, `go vet`. Deep-review ran 12 reviewers on the feature and 5 on the clarity refactor; CAR reviewed and approved; a subsequent scope reduction dropped a temporary `allow_web_search` column in favor of per-model handling. > Mux is acting on Mike's behalf. |
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f8fe5d680b |
fix(coderd): reject API operations on archived chats (#24633)
Archived chats accept mutations (messages, edits, queued-message promotions, tool-result submissions) via the API, causing them to re-enter the processing pipeline. This violates the hard-stop design intent from PR #23758. Add archived checks at three layers: - HTTP handlers (postChatMessages, patchChatMessage, promoteChatQueuedMessage, postChatToolResults): return 400 after auth so callers get a clear error. - Daemon functions (SendMessage, EditMessage, PromoteQueued, SubmitToolResults): return ErrChatArchived after row lock, guarding against future callers that bypass the handler. - AcquireChats SQL: filter out archived chats so they are never acquired for processing. Fixes CODAGT-245 |
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f073323c89 |
refactor: unify subagent spawn behind spawn_subagent (#24535)
Unify the three subagent spawn tools (`spawn_agent`, `spawn_explore_agent`, `spawn_computer_use_agent`) behind a single `spawn_subagent` tool keyed by a `subagent_type` discriminant (`general`, `explore`, `computer_use`). Mirrors the single-entry-point pattern already used by `task` in mux while keeping `wait_agent`, `message_agent`, and `close_agent` as separate lifecycle tools. A new backend subagent definition catalog (`coderd/x/chatd/subagent_catalog.go`) is the source of truth for tool description, prompt guidance, availability rules (plan mode, desktop/Anthropic gating), and child-chat option building. `spawn_subagent` advertises only the types available in the current context and validates `subagent_type` server-side; context inheritance still flows through the existing `createChildSubagentChatWithOptions` path. `wait_agent`, `message_agent`, and `close_agent` responses now include a server-derived `subagent_type` so the UI stops inferring lifecycle state from tool names. The frontend gets a shared normalization helper (`site/src/pages/AgentsPage/components/ChatElements/tools/subagentDescriptor.ts`) that maps either legacy tool names or new `spawn_subagent` args into a common descriptor (action, variant, icon, fallback copy). Legacy transcripts still render identically; `Tool.tsx`, `SubagentTool.tsx`, `ToolLabel.tsx`, `ToolIcon.tsx`, and `messageParsing.ts` now key off the descriptor instead of hard-coded names. Existing UI copy is preserved (`Spawning Explore agent...`, `Using the computer...`, computer-use monitor icon and Open Desktop affordance). > This PR was opened by Mux working on Mike's behalf. |
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9d0469fc4c |
feat: allow approved external MCP tools in root plan mode (#24509)
## Summary
Allow root plan-mode chats to use MCP tools from external servers that
an admin has explicitly approved for plan mode. Workspace MCP and
plan-mode subagents remain blocked.
## Problem
`chatd.go` excluded every MCP tool when `isPlanModeTurn` was true, so
planning had no access to tools like docs search, ticketing, etc.
Lifting that guard wholesale was unsafe: `mcp_server_configs` already
has centralized admin governance, but workspace-local MCP (discovered
from agent `.mcp.json`) does not, and subagents use a narrower trust
boundary.
## Fix
Add an admin-controlled per-server `allow_in_plan_mode` flag (default
`false`) and gate plan-mode MCP access on it.
### Backend / schema
- New migration `000472_mcp_server_allow_in_plan_mode.{up,down}.sql` and
matching fixture update.
- `mcpserverconfigs.sql` + generated code: persist and read the new
column.
- `codersdk/mcp.go`: thread the field through `MCPServerConfig`,
`Create*`, and `Update*` request types.
- `coderd/mcp.go`: validate, persist, and return the flag in
get/list/create/update handlers.
### chatd
- `coderd/x/chatd/chatd.go`: pre-filter selected external MCP configs by
`AllowInPlanMode` before calling `mcpclient.ConnectAll` on plan-mode
root turns. Workspace MCP discovery is skipped entirely on plan-mode
turns.
- Single helper decides whether a tool is available in plan mode, used
both at construction and for active-tool filtering (defense in depth).
Plan-mode subagents, dynamic tools, provider-native tools, computer-use,
and workspace MCP stay unchanged.
- `coderd/x/chatd/prompt.go`: update the root plan-mode overlay text to
match the new boundary.
### UI
- `MCPServerAdminPanel.tsx`: add an explicit toggle ("Allow all tools
from this MCP server in root plan mode") next to the existing governance
controls.
- Regenerated `site/src/api/typesGenerated.ts`.
### Docs
- `docs/ai-coder/agents/architecture.md`: replace the blanket "MCP is
unavailable in plan mode" note with the new root-only, external-only,
admin-approved policy. Explicitly call out that workspace MCP and
plan-mode subagents are still excluded.
### Tests
- Plan-mode visibility (approved vs non-approved external server).
- Plan-mode invocation of an approved external MCP tool.
- End-to-end plan-mode workflow that uses an approved MCP tool and then
reaches `propose_plan`.
- Regressions: workspace MCP still excluded in plan mode; plan-mode
subagents still on the restricted tool boundary; existing tool
allow/deny list filtering still applies.
## Policy precedence
`allow_in_plan_mode` is an **additional** requirement on top of existing
`enabled`, availability, chat-selected / forced server IDs, and tool
allow/deny lists. It approves **all tools on that server** for root plan
mode; a per-tool plan allowlist is deliberately deferred.
## Follow-ups (explicitly out of scope)
- Whether plan-mode subagents should inherit approved external MCP
tools.
- Workspace-local MCP safety model (agent-side `.mcp.json` schema vs. a
coderd-managed workspace MCP config).
## Validation
- `go vet ./coderd/x/chatd/...`
- `go test ./coderd/x/chatd -run 'TestPlan.*|TestMCP.*' -count=1`
- `go test ./coderd/x/chatd -count=1 -timeout 5m` (full chatd suite)
- `make fmt` (no diff)
> Mux opened this PR on Mike's behalf.
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5f3effd839 |
fix(coderd/x/chatd): add chattest.OpenAI() default fake server (#24540)
- Add `chattest.OpenAI(t)` convenience wrapper around `NewOpenAI` with
sensible defaults (JSON title response for non-streaming, text chunk for
streaming)
- Update `seedChatDependencies` to use it instead of an empty base URL,
preventing title generation from hitting real `api.openai.com` with a
fake key:
```
t.go:111: 2026-04-20 19:23:31.885 [debu] coderd.chatd.processor: title model candidate failed chat_id=edb43454-f23d-4163-9974-d101b8091de6 chat_id=edb43454-f23d-4163-9974-d101b8091de6 ...
error= generate structured title:
github.com/coder/coder/v2/coderd/x/chatd.generateStructuredTitleWithUsage
/home/coder/src/coder/coder/coderd/x/chatd/quickgen.go:443
- unauthorized: Incorrect API key provided: test-api-key. You can find your API key at https://platform.openai.com/account/api-keys.
```
> 🤖
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df7e838c21 | feat(coderd): wire debug logging into chat lifecycle (#23917) | ||
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fc2493780f |
fix: exclude subagent chats from sidebar pagination (#24404)
GetChats now returns only root chats (parent_chat_id IS NULL). A new GetChildChatsByParentIDs query fetches children for visible roots and embeds them in each parent's Children field. The singular getChat endpoint does the same. Archive invariant is one-way: parent archived implies child archived. Parent archive/unarchive cascades via root_chat_id. Individual child archive is permitted; child unarchive while the parent is archived is rejected atomically (row lock on child, re-read parent inside the transaction). Embedded children are filtered by the caller's archive state so individually-archived children stay hidden from active-parent views. Gitsync MarkStale uses GetChatsByWorkspaceIDs directly; MarkStaleParams.OwnerID removed (dead after the switch). Frontend: buildChatTree reads from the embedded children field, WebSocket handlers route child events into the parent's children array, and archiving a child strips it from the parent cache. |
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73b5058923 |
feat: add Explore mode as subagent-only modality (#24448)
> This PR was authored by Mux on behalf of Mike. Introduce Explore mode, a read-only subagent modality for delegated discovery and code investigation. ## What Adds a `spawn_explore_agent` tool that creates child chats restricted to read-only operations. An admin can optionally configure a deployment-wide model override so Explore subagents use a model optimized for large context or reasoning without changing the root chat's model. ### Backend - New `ChatModeExplore` enum value (migration 000471). - `spawn_explore_agent` tool definition with read-only allowlist: `read_file`, `execute`, `process_output`, `read_skill`, `read_skill_file`. Write tools, file editors, and nested subagent spawning are blocked. - Deployment config storage for the Explore model override (`agents_chat_explore_model_override` in `site_configs`). - Model resolution hierarchy: configured override, then current turn model, then global default. Silent fallback with warning log when the override becomes unavailable. - RBAC: `AsChatd` for daemon reads, `ActionRead` and `ActionUpdate` on `ResourceDeploymentConfig` for admin API calls. - Plan mode root chats can use `spawn_explore_agent` for read-only research, matching the planning prompt guidance. - The Explore override config API now reports malformed saved overrides as "treated as unset" so admins can clear them explicitly. ### Frontend - `ExploreModelOverrideSettings` component in admin agent behavior settings. Uses `ModelSelector`, handles unavailable model warnings, and supports explicit Save and Clear actions. - Malformed saved overrides show a warning and require an explicit Save to clear, instead of Clear auto-submitting behind the scenes. ### Tests - Integration: `TestExploreSubagentIsReadOnly` (full spawn flow, tool verification, prompt overlay, DB state). - Unit: tool allowlist tests for explore, plan, and default modes. - Internal: model override resolution with valid, invalid UUID, disabled, and unconfigured override scenarios. - RBAC: `dbauthz_test.go` for `GetChatExploreModelOverride` and `UpsertChatExploreModelOverride`. - API: admin set and clear, malformed stored override reporting, disabled model rejection, non-admin denial. |
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3452ab3166 |
chore: add client_type field to chats and telemetry (#24342)
Add a `chat_client_type` enum (`ui` | `api`) and `client_type` column to the `chats` table. The column defaults to `api` for new rows so API callers don't need to set it explicitly. Existing rows are backfilled to `ui`. The field flows through `CreateChatRequest`, `chatd.CreateOptions`, `InsertChat`, and is returned in the `Chat` response via `db2sdk`. <details> <summary>Implementation notes (Coder Agents generated)</summary> ### Changes **Database migration (000469)** - New enum `chat_client_type` with values `ui`, `api`. - New `client_type` column, `NOT NULL DEFAULT 'api'`. - Backfill: `UPDATE chats SET client_type = 'ui'`. **SQL query** — `InsertChat` now includes `client_type`. **SDK** — `ChatClientType` type added; `ClientType` field added to both `CreateChatRequest` (optional, defaults server-side to `api`) and `Chat` response. **Handler** — `postChats` maps the request field (defaulting to `api`) and passes it through `chatd.CreateOptions`. **Sub-agent** — Child chats inherit their parent's `client_type`. **db2sdk** — Maps the database value to the SDK type. ### Decision log - Default is `api` (not `ui`) so existing API integrations get the correct value without code changes. - Backfill sets existing rows to `ui` per requirement. - Child chats inherit `client_type` from parent rather than defaulting. </details> |
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1cf0354f72 |
feat: add plan mode with restricted tool boundary (#24236)
> This PR was authored by Mux on behalf of Mike. ## Summary - add persistent plan mode for chats and the chat-specific plan file flow - add structured planning tools such as `ask_user_question` and `propose_plan` - keep `write_file` and `edit_files` constrained to the chat-specific plan file during plan turns - allow shell exploration in plan mode, including subagents, via `execute` and `process_output` - block implementation-oriented, provider-native, MCP, dynamic, and computer-use tools during plan turns - update the chat UI, tests, and docs for the new planning flow |
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a554de372a |
fix: use per-chat plan file paths (#24268)
> This PR was authored by Mux on behalf of Mike. Chats sharing one workspace (e.g. sibling subagents) all wrote to `/home/coder/PLAN.md`, causing plan file collisions. This change derives a unique plan path per chat from the workspace home directory and chat ID. ## Changes * `write_file`, `edit_files`, and `propose_plan` reject any `plan.md` variant (case-insensitive) at the workspace home root, with a clear error pointing to the chat-specific path. * Root chats receive a `<plan-file-path>` block inlined in the main system prompt with the concrete path. * Prompt and tool descriptions no longer hardcode `/home/coder/PLAN.md`. * Plan path handling is POSIX-only (forward-slash), relying on the contract that workspace agent paths are normalized before reaching chatd. * Updated `ProposePlanTool.stories.tsx` to use per-chat path examples. * Full test coverage for plan path detection, legacy-path rejection in all three tools, inline prompt rendering, and fallback behavior. |
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22062ec52e |
feat: add organization scoping to chats (#23827)
Fixes https://github.com/coder/internal/issues/1436 * Adds organization_id to chats with backfill (workspace org → user org membership → default org) * No support yet for ACLs (follow-up issue) - Cross-org workspace binding rejected (both in `CreateChatRequest` and in `create_workspace` tool - Adds `OrganizationAutocomplete` to `AgentCreateForm` - Docs updated with `organization_id` in chats-api.md > 🤖 Written by a Coder Agent. Reviewed by many humans and many agents. --------- Co-authored-by: Mathias Fredriksson <mafredri@gmail.com> |
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b969d66978 |
feat: add dynamic tools support for chat API (#24036)
Adds client-executed dynamic tools to the chat API. Dynamic tools are
declared by the client at chat creation time, presented to the LLM
alongside built-in tools, but executed by the client rather than chatd.
This enables external systems (Slack bots, IDE extensions, Discord bots,
CI/CD integrations) to plug custom tools into the LLM chat loop without
modifying chatd's built-in tool set.
Modeled after OpenAI's Assistants API: the chat pauses with
`requires_action` status when the LLM calls a dynamic tool, the client
POSTs results back via `POST /chats/{id}/tool-results`, and the chat
resumes.
See [this example](https://github.com/coder/coder-slackbot-poc) as a
reference for how this is used. It's highly-configurable, which would
enable creating chats from webhooks, periodically polling, or running as
a Slackbot.
<details>
<summary>Design context</summary>
### Architecture
The chatloop **exits** when it encounters dynamic tools and
**re-enters** when results arrive. No blocking channels, no pubsub for
tool results, no in-memory registry. The DB is the only coordination
mechanism.
```
Phase 1 (chatloop):
LLM response → execute built-in tools only →
Persist(assistant + built-in results) →
status = requires_action → chatloop exits
Phase 2 (POST /tool-results):
Persist(dynamic tool results) →
status = pending → wakeCh → chatloop re-enters
```
### Validation (POST /tool-results)
1. Chat status must be `requires_action` (409 if not)
2. Read chat's `dynamic_tools` → set of dynamic tool names
3. Read last assistant message → extract tool-call parts matching
dynamic tool names
4. Submitted tool_call_ids must match exactly (400 for missing/extra)
5. Persist tool-result message parts, set status to `pending`, signal
wake
### Idempotency
Tool call IDs scoped per LLM step. State machine (`requires_action` →
`pending`) is the guard. First POST wins, subsequent get 409.
### Mixed tool calls
When the LLM calls both built-in and dynamic tools in one step, built-in
tools execute immediately. Their results are persisted in phase 1.
Dynamic tool results arrive via POST in phase 2. The LLM sees all
results when the chatloop resumes.
</details>
> 🤖 Generated by Coder Agents
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