**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
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.
Adds an admin-configurable deployment-wide setting that controls which
model is used for chat title generation. Admins can pick any enabled
chat model config from the Agents settings page, or leave the setting
unset to keep the existing fast-models-then-chat-model fallback
algorithm.
When a model is selected, both automatic and manual title generation use
only that model, with no silent fallback. When the configured model is
disabled, missing credentials, or otherwise unusable, automatic title
generation skips entirely (best-effort) and manual title regeneration
returns a clear error, so admins notice the misconfiguration instead of
silently routing title traffic through another provider.
## Surface
- New deployment-wide setting stored as a `site_configs` row
(`agents_chat_title_generation_model_override`).
- New experimental endpoint `GET/PUT
/api/experimental/chats/config/model-override/{context}`.
- Frontend: title generation now appears as a third dropdown on the
Agents admin settings page alongside the existing general and explore
context overrides.
## DRY refactors folded in
Title generation is integrated as a third value of the existing
`ChatModelOverrideContext` type alongside `general` and `explore`,
sharing the parameterized HTTP route, SDK methods, generated types, and
frontend API plumbing rather than introducing a parallel surface. The
`Agent` prefix was dropped from the type and route since title
generation is not a delegated agent.
The chatd model-override resolver is also shared.
`resolveConfiguredModelOverride` now takes a `failureMode` parameter:
- Subagent overrides use soft failure: misconfigured overrides are
logged and the parent model is used.
- Title generation uses hard failure: misconfigured overrides return an
explicit error so manual title regeneration surfaces the
misconfiguration and automatic title generation skips instead of
silently falling back.
> Mux is acting on Mike's behalf.
Adds a 5th MCP server authentication mode, `user_oidc` ("User OIDC
Identity"), that forwards the calling user's OIDC access token from
`user_links.oauth_access_token` to the upstream MCP server as
`Authorization: Bearer <token>`.
The token is read from `user_links` and refreshed transparently via
`oauth2.TokenSource` before each MCP request. No new per-MCP-server
secret storage and no per-user connect/disconnect step.
**Limitation**: only users who logged in via OIDC have a forwardable
token. Users authenticated via password or GitHub will see requests sent
without an `Authorization` header, and the upstream MCP server is
expected to respond with 401. A pluggable token source (e.g. CLI-minted
E2E tokens) is left as future work.
<details>
<summary>Implementation notes</summary>
- Schema: new
`coderd/database/migrations/000481_mcp_user_oidc_auth.{up,down}.sql`
relaxes the `mcp_server_configs.auth_type` CHECK constraint to include
`user_oidc`. Down migration deletes affected rows before restoring the
old constraint.
- SDK validation: `codersdk/mcp.go` extends `oneof` for
`CreateMCPServerConfigRequest` and `UpdateMCPServerConfigRequest`.
- Handler: `coderd/mcp.go` adds `case "user_oidc":` to the
field-clearing switch on update. The existing list and detail handlers
already report `auth_connected = true` for any non-`oauth2` auth type.
- Header construction: `coderd/x/chatd/mcpclient/mcpclient.go`
introduces a `UserOIDCTokenSource` interface and adds the `user_oidc`
case to `buildAuthHeaders`. `ConnectAll` / `connectOne` /
`buildAuthHeaders` gain `userID uuid.UUID, oidcSrc UserOIDCTokenSource`
parameters.
- Wiring: `coderd/x/chatd/chatd.go` adds `OIDCTokenSource` to `Config` /
`Server` and passes `chat.OwnerID` plus the source through `ConnectAll`.
`coderd/coderd.go` constructs the source next to the `chatd.New` call
when `options.OIDCConfig` is non-nil.
- Token source: `oidcMCPTokenSource` lives in `coderd/mcp.go`. It reads
the user's OIDC link, refreshes via `oauth2.TokenSource`, and writes the
refreshed token back to `user_links`. Logic is duplicated from
`provisionerdserver.ObtainOIDCAccessToken` to avoid an MCP ->
provisionerdserver dependency. The two copies must be kept in sync; a
comment on `oidcMCPTokenSource` records this.
- Frontend: `MCPServerAdminPanel.tsx` adds the new dropdown option, an
explanatory helper block (no admin-configurable fields), and a Storybook
story (`CreateServerUserOIDC`).
- Tests:
- `mcpclient_test.go`: `TestConnectAll_UserOIDCAuth`,
`TestConnectAll_UserOIDCAuth_NoLink`,
`TestConnectAll_UserOIDCAuth_NilSource`. All existing tests updated for
the new signature.
- `mcp_test.go`: extends `TestMCPServerConfigsAuthConnected` to assert
`auth_connected=true` for `user_oidc`; adds
`TestMCPServerConfigsUserOIDCClearsFields` and
`TestMCPServerConfigsUserOIDCDirect`.
- Docs: `docs/ai-coder/agents/platform-controls/mcp-servers.md`
describes the new mode and its OIDC-only limitation.
</details>
This PR was created by Coder Agents.
---------
Co-authored-by: Coder Agents <agents@coder.com>
- 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).
Previously, `runTx` could lose a deferred rollback failure when returning an
existing transaction error, because the rollback path could not update the final
return value.
https://go.dev/play/p/AhBK31lO0Gd
## Summary
Add the **admin-configurable advisor configuration**: database-backed storage, SDK types, and the experimental HTTP handlers that back the admin settings UI (later PRs). Follows the same "site-configs" pattern as Virtual Desktop.
## Motivation
The advisor needs runtime-tunable knobs (enable/disable, per-run cap, max output tokens, reasoning effort, optional model override) without a service restart or redeploy. Using the existing `site_configs` K/V table keeps this pattern consistent with other admin features and avoids a bespoke schema.
## Changes
### Database (`coderd/database/queries/siteconfig.sql`)
- `GetChatAdvisorConfig` returns the stored JSON blob (default `'{}'`) under key `agents_advisor_config`.
- `UpsertChatAdvisorConfig` uses the standard `INSERT ... ON CONFLICT` pattern.
- Regenerated via `make gen` (queries.sql.go + mocks).
### SDK (`codersdk/chats.go`)
- `AdvisorConfig` type with `Enabled`, `MaxUsesPerRun`, `MaxOutputTokens`, `ReasoningEffort` (`""` / `low` / `medium` / `high`), `ModelConfigID uuid.UUID`.
- Client methods: `ChatAdvisorConfig(ctx)` / `UpdateChatAdvisorConfig(ctx, cfg)`.
### API (`coderd/exp_chats.go`)
- `GET /api/experimental/chats/config/advisor`: reads current config; relies on `ActorFromContext` validation.
- `PUT /api/experimental/chats/config/advisor`: requires `policy.ActionUpdate` on `rbac.ResourceDeploymentConfig`.
- Handlers unmarshal `{}` to a typed zero value and re-marshal on upsert for schema stability.
- Tests in `exp_chats_test.go` cover empty defaults, round-trip update, unauthorized update, and invalid body.
## Stack context
This is **PR 3 of 6** in the advisor feature stack. Consumed by:
- PR 4 (`feat/advisor-04-chatd-runtime`), which reads this config on every `runChat`.
- PR 6 (`feat/advisor-06-admin-settings-ui`), which renders the admin form.
## Scope / non-goals
- No `chatd` read path (lands in PR 4).
- No UI (lands in PR 6).
- `agents_advisor_config` remains a single-row JSON blob; we intentionally do not shard per-org/per-template yet.
## Validation
- `make gen`
- `go test ./coderd/database/... -run TestChatAdvisor`
- `go test ./coderd/... -run TestChatAdvisorConfig`
- `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`_
Adds structured `secret_requirements` to dynamic parameter responses and
enforces missing required secrets during workspace start.
Stop, delete, and tag rendering paths skip secret requirement
enforcement so unmet secrets do not prevent cleanup. The SDK, generated
API docs/types, and backend render/resolver/wsbuilder tests are updated
for the new contract.
Emit user secret audit log entries for create/update/delete operations.
Reads stay un-audited, matching every other resource.
Audit log entries record changes in user secret name, environment
variable name, file path, and value. The secret value column is marked
`ActionSecret` so the diff records the change without showing the
ciphertext or plaintext.
Closes a TOCTOU window on delete to ensure no phantom audit logs for a
delete of a non-existent secret. Secret update accepts a small TOCTOU
window matching the other audited resources (templates, workspaces,
chats). The two-query pattern is wrapped in a transaction so audit state
can't leak from a failed mutation.
Depends on #24642
Adds per-owner digest notifications onto the chat auto-archive
subsystem.
Each tick's archived rows are grouped by owner, the top 25 titles per
owner are rendered into a new `Chats Auto-Archived` notification
template, and any remainder surfaces as `and N more`. Each digest is
per-tick, so users with large amounts of purgeable data may get multiple
notifications in sequence (one per user per tick).
The template body branches on `retention_days`: when retention is
disabled (`retention_days=0`), users are told archived chats are kept
indefinitely rather than falsely claiming imminent deletion.
### Changes
- migration `000XXX_chat_auto_archive_notification_template` adds new
notification template
- `dbpurge`: threads `notifications.Enqueuer` through `New`; and
enqueues notification message.
- `cli/server.go`: passes `options.NotificationsEnqueuer` into
`dbpurge.New`.
- `coderd/notifications/events.go`: new `TemplateChatAutoArchiveDigest`
UUID.
- `coderd/inboxnotifications.go`: inbox registration.
- Docs: adds a `Notifications` section to `chat-auto-archive.md`.
> 🤖
This change passes user secrets from coderd to the Terraform process at
workspace build time so the `data.coder_secret` data source in
terraform-provider-coder can resolve values at plan time.
Secrets traverse two proto hops: `provisionerdserver` fetches them
via`ListUserSecretsWithValues`, attaches them to
`AcquiredJob.WorkspaceBuild.user_secrets` on `provisionerd.proto`;
`runner.go` forwards into `PlanRequest.user_secrets` on
`provisioner.proto`; the Terraform provisioner encodes each as
`CODER_SECRET_ENV_<name>` or `CODER_SECRET_FILE_<hex(path)>` before
invoking `terraform plan`. Only plan requests carry secrets; apply runs
with `nil` because values are baked into plan state.
Fetch is gated on a workspace transitioning to start. stop and delete
transitions never carry secrets, so revoking or deleting a stored secret
cannot make a workspace unstoppable. DB errors on the fetch fail the job
outright rather than silently continuing with an empty secret set.
Note that user secrets will be stored in the workspace_builds table in
provisioner_state with other Terraform state (including other sensitive data).
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.
Adds a deployment-wide admin override for general delegated subagents.
## What changed
- store the general override in `site_configs` and expose it through the
shared `agent-model-override/{context}` API
- apply the general override when spawning delegated general subagents,
while preserving the existing Explore override behavior
- reuse a shared Agents settings form for the general and Explore
override sections
## Validation
- `make gen`
- `go test ./coderd -run 'TestChatModelOverrides'`
- `go test ./coderd/x/chatd -run
'TestSpawnAgent_(GeneralUsesConfiguredModelOverride|GeneralOverrideLogsAndFallsBackWhenCredentialsUnavailable|GeneralOverrideLogsAndFallsBackWhenProviderDisabled)'`
- `pnpm -C site lint:types`
- `pnpm -C site test:storybook --
AgentSettingsAgentsPageView.stories.tsx`
- `make lint`
- `make pre-commit`
> Mux is acting on Mike's behalf.
The UI already prevents child (delegated/subagent) chats from being
pinned, but the `PATCH /api/experimental/chats/{chat}` endpoint did not
enforce this. A direct API call could pin a child chat.
- Add a `400 Bad Request` guard in `patchChat` when `pinOrder > 0` and
the chat has a `ParentChatID`
- Add `TestChatPinOrder/RejectsChildChat` test
> 🤖
The agents-access role previously granted chat permissions at user
scope, but chats are org-scoped objects. Rego skips user-level perms
when org_owner is set, making the grants invisible. Handler-level
band-aids used synthetic non-org-scoped objects as a workaround.
- Migrates agents-access from users.rbac_roles (site-level) to
organization_members.roles (org-scoped) via DB migration
- Redefines agents-access as a predefined org-scoped builtin role
alongside organization-admin, organization-auditor, etc., with
Member permissions granting chat create/read/update
- Excludes ResourceChat from OrgMemberPermissions so org membership
alone no longer grants chat access
- Fixes handler Authorize checks to use org-scoped objects with
semantically correct actions (ActionUpdate for message/tool operations)
- Grants org admins the ability to assign agents-access
Closes#24250
Fixes CODAGT-174
Note: this does not update the "Usage" endpoints. Tracked by CODAGT-161.
> 🤖
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
Previously, the sessions list sorted by `MIN(started_at)` across
interceptions, so sessions with old start times but recent activity
would sink to the bottom of the list regardless of how recently they
were used.
`ListAIBridgeSessions` now sorts by `COALESCE(MAX(prompt.created_at),
MIN(started_at)) DESC`, exposed as the non-nullable `last_active_at`
field. Sessions with prompts surface by last activity; sessions with no
prompts fall back to their start time.
The original implementation used two separate columns (`last_active_at`
as a nullable prompt timestamp and `sort_at` as the non-nullable cursor
key). This revision collapses them into a single `last_active_at` that
is always set — simplifying the SQL, the Go conversion, the API type,
and the frontend.
🤖 Generated with [Claude Code](https://claude.ai/claude-code)
---------
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Drop the `chat_model_configs.provider -> chat_providers.provider`
foreign key and soft-delete model configs when their provider is
removed. The provider row is now hard-deleted inside a transaction that
also tombstones its model configs and promotes a replacement default
when needed.
Historical chats and messages keep pointing at the soft-deleted model
config rows, which are hidden from live/admin queries but still resolve
for read. The runtime chat path already falls back to the default model
config when a soft-deleted config is looked up.
Replaces the lost FK validation in the create/update model-config
handlers with an explicit provider lookup that returns the existing
`Chat provider is not configured.` 400.
## UX
**Admin deleting a chat provider that has historical usage**
- Before: blocked with 400 `Provider models are still referenced by
existing chats.` Admins had no in-product way to remove a provider that
had ever been used.
- After: delete succeeds (204). Any model configs under that provider
are soft-deleted. If the removed provider owned the default model
config, one of the remaining live configs is auto-promoted to the new
default. The promotion is deterministic (`ensureDefaultChatModelConfig`
picks the first live config by `provider ASC, model ASC, updated_at
DESC, id DESC`); there is no picker, and no toast or response detail
names which config became the new default.
**End users with chats that used a deleted provider's model**
- Old chats still open and their history still renders unchanged.
- Sending a new turn in such a chat silently falls back to the current
default model. No banner or warning tells the user the original model is
gone.
- The model picker no longer lists the deleted model.
- If no default model config exists at all after the delete, sending a
new turn fails with `no default chat model config is available`.
**Admin creating or updating a model config against a provider that is
not configured**
- Same as before: 400 `Chat provider is not configured.` Only the
detection mechanism changed (explicit `FOR UPDATE` lookup inside the
transaction, which also serializes against a concurrent provider
delete).
**Admin updating a model config whose row disappears mid-transaction**
- Now returns the standard 404 `Resource not found or you do not have
access to this resource` instead of the previous 500 that leaked `sql:
no rows in result set` in the detail. Unrelated internal races (for
example a race on the promoted default candidate) are still reported as
500 so they are not misclassified as "your target is gone".
Closes CODAGT-23
## Summary
- rename the `allow_in_plan_mode` migration pair from `000472` to
`000473`
- rename the matching fixture file and update its comment
- remove the duplicate migration version that broke containerized
database startup
## Testing
- `go test ./coderd/database/migrations -run '^TestMigrate$' -count=1
-timeout 15m`
- validated `iofs.New` for `coderd/database/migrations` and
`coderd/database/migrations/testdata/fixtures`
Closescoder/internal#1483
> Mux opened this PR on Mike's behalf.
## 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.
GetChildChatsByParentIDs sorted created_at ASC, but the cache
helper appended new children to the end. On refetch the API and
cache agreed on oldest-first, putting the just-created child at
the bottom. Users expect newest first, matching the root-chat
sidebar convention.
- SQL: change child sort to created_at DESC, id DESC.
- Cache: prepend instead of append in addChildToParentInCache
(renamed from appendChildToParentInCache to avoid leaking
position semantics).
- Test: update ordering assertion to expect newest-first.
Refs #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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Splits the Pubsub into Publisher and Subscriber interfaces. Allows components to scope down their needs if they only publish or only subscribe. This allows smaller fakes/mocks and generally better encapsulation.
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relates to GRU-18
Adds new database query supporting the Agent Connection Watch we will add.
Adds aggregate PR counts (total, open, merged, closed) from
`chat_diff_statuses` to telemetry snapshots, giving visibility into AI
agent PR outcomes across deployments.
The existing telemetry system reports `Chats`, `ChatMessageSummaries`,
and `ChatModelConfigs`, but had no PR-level data. This adds a
`ChatDiffStatusSummary` field to the `Snapshot` struct with four
all-time counts derived from a single aggregate query.
<details>
<summary>Implementation details</summary>
- New SQL query `GetChatDiffStatusSummary` counts `chat_diff_statuses`
rows with non-NULL `pull_request_state`, grouped by state
(open/merged/closed).
- `ChatDiffStatusSummary` struct added to telemetry `Snapshot`,
collected via a parallel `eg.Go()` block in `createSnapshot()`.
- `dbauthz` wrapper uses `rbac.ResourceSystem` (telemetry-only pattern).
- Test covers both empty state (zero counts) and populated state (mixed
states + NULL-state exclusion).
</details>
> 🤖 Generated by Coder Agents
> 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.
> Mux working on behalf of Mike.
## Summary
- add an enabled chat model config lookup by ID for internal callers
- keep `spawn_agent` unchanged while threading an internal model
override through child subagent chat creation
- extend chatd coverage for inherited bindings, plan mode, and internal
override behavior
## Validation
- `go test ./coderd/x/chatd ./coderd/database/dbauthz`
- `make lint`
Replace the old `InTx` ruleguard rule in `scripts/rules.go` with a
custom in-tree `go/analysis` analyzer under `scripts/intxcheck/`. The
new analyzer catches the same direct and pass-through misuse classes as
before, plus two new classes the pattern-matcher couldn't reach:
- **Indirect same-package helper misuse** — flags `p.someHelper(ctx)`
inside `InTx` when the helper body uses the outer store (the PR #24369
bug class).
- **Nested dangerous closures** — descends into `go func() { ... }()`,
`defer func() { ... }()`, and immediately-invoked function literals.
The analyzer uses semantic `types.Object` identity instead of raw
expression string comparison, which avoids false positives from
closure-local shadowing and catches simple aliases like `outer := s.db`
and `alias := s`.
This PR also fixes three real outer-store-inside-transaction bugs the
new analyzer surfaced:
- `coderd/wsbuilder/wsbuilder.go`: `FindMatchingPresetID` and
`getWorkspaceTask` now use the inner transaction store instead of
`b.store`.
- `enterprise/dbcrypt/dbcrypt.go`: `ensureEncrypted` now calls
`s.InsertDBCryptKey` (the tx-wrapped store) instead of
`db.InsertDBCryptKey`. The `dbCrypt.InTx` method wraps the raw tx in a
new `*dbCrypt`, so `s.InsertDBCryptKey` still dispatches through the
encryption layer.
Two call sites need `// intxcheck:ignore` suppressions. Both are one-off
patterns that only look like misuse because the analyzer doesn't track
assignments — proving them safe would require full dataflow analysis,
which is well beyond what a targeted lint like this should attempt:
- `coderd/database/dbfake/dbfake.go` — `b.db` is reassigned to `tx` on
the preceding line, so `b.doInTX()` actually uses the transaction. The
analyzer sees the original `b.db` identity and flags it.
- `coderd/database/db_test.go` — test intentionally passes the outer
store to `require.Equal` to assert that nested `InTx` returns the same
handle.
Suppressions use `// intxcheck:ignore` instead of `//nolint:intxcheck`
because `intxcheck` runs as a standalone `go/analysis` tool outside
golangci-lint. golangci-lint's `nolintlint` checker flags `//nolint`
directives for linters it doesn't control, so we use a custom comment
prefix to avoid that conflict.
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>
> This PR was authored by Mux on behalf of Mike.
## Summary
Adds support for multiple peer root workspace agents sharing the same
`auth_instance_id`, so AWS, Azure, and GCP instance-identity auth can
issue the correct session token for a selected agent instead of assuming
a
single root agent per instance.
## Problem
When a Terraform template attaches two or more `coder_agent` resources
(with `auth = "aws-instance-identity"`) to a single compute instance,
every agent shares the same cloud instance ID. The existing singular
lookup picks whichever agent was created most recently, silently
ignoring
the others.
## Solution
Introduce an optional pre-auth agent selector (`CODER_AGENT_NAME`) and
make the server-side lookup ambiguity-aware.
**Database layer:**
- `GetWorkspaceAgentsByInstanceID` (`:many`): returns all matching root
agents for an instance ID.
- `GetWorkspaceAgentByInstanceIDAndName` (`:one`): returns the named
root
agent for disambiguation.
**SDK and CLI:**
- `agent_name` field added to AWS, Azure, and GCP request structs
(`omitempty` for backward compatibility).
- `CODER_AGENT_NAME` env var and `--agent-name` flag wired into the
agent
bootstrap before instance-identity auth runs.
**Server handler (`handleAuthInstanceID`):**
- When `agent_name` is present: direct lookup by (instance ID, name).
- When absent: legacy lookup, then resource-scoped ambiguity check.
Returns 409 with available agent names if multiple root agents match.
- Whitespace-only names are trimmed and treated as unspecified.
- Sub-agents remain excluded (`parent_id IS NULL` filter).
**Verification template:**
- `examples/templates/aws-multi-agent/` provisions one EC2 instance with
two agents (`main` and `dev`), both using instance-identity auth with
`CODER_AGENT_NAME` set in the cloud-init user data.
## Backward compatibility
Existing single-agent deployments work unchanged. The `agent_name` field
is optional with `omitempty`, and the unnamed path preserves today's
behavior when only one root agent matches.
> 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
Addresses review findings from #23827 that were added post-merge:
- Persisted attachments now store `organizationId`; mismatched orgs
pruned on restore
- Workspace selection reconciliation: stale IDs from previous orgs
dropped via derived `effectiveWorkspaceId`
- Org picker uses `permittedOrganizations()` for RBAC-aware filtering
- Org picker hidden when user belongs to only one org
- Ref-sync `useEffect` replaced with `useEffectEvent`
- `CreateWorkspace()` and `ListTemplates()` take `organizationID` and
`db` as required function parameters instead of optional struct fields —
compiler enforces them, removes scattered nil guards
- Cross-org template check in `CreateWorkspace` is now unconditional
- `ListTemplates` org-scoping filter now has test coverage
- `setupChatInfra` comment fixed; test helpers use params structs
instead of positional UUIDs
- Enterprise test documents that org admin only sees own chats (handler
hardcodes `OwnerID` — future work needs sidebar UI before lifting that
restriction)
> 🤖
We noticed during higher active workspace counts that the agent
connection metric, generated via a query to the database, would report a
relatively high amount of agents as disconnected. Somewhere between 5
and 20%. However, other metrics such as # of websocket connections would
suggest that all agent connections are healthy.
Looking at the `Agents` function in prometheus metrics, plus the query
execution time (not accounting for actual database RT time) revealed
that this reporting of agents as disconnected was almost certainly false
positives due to clock drift in the way we're generating the metric
values. At 10k metrics, with a p50 of 2ms and p99 of 5ms, the entire
`agents` function could take upwards of 50s to execute. Because we were
doing a query/database RT to query th apps for each agent individually,
and grabbing a `time.Now` value on each iteration of that loop, it's
likely the portion of agents that were reported as disconnected were
those that had last heartbeat the furthest in the past.
The fix here is to set a consistent `now` before fetching agent data to
avoid clock drift inflating the inactive timeout comparison, and replace
the per-agent app query N+1 with a single batched lookup to prevent loop
execution time from pushing agents over the disconnected threshold.
Signed-off-by: Callum Styan <callumstyan@gmail.com>
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Three SQL queries (`GetUserGroupSpendLimit`,
`ResolveUserChatSpendLimit`, `GetUserChatSpendInPeriod`) aggregated chat
spend limits and usage globally across all organizations. A restrictive
group limit in org A would bleed into org B.
## Changes
- Add `organization_id` parameter to all three SQL queries in
`coderd/database/queries/chats.sql`
- When nil UUID is passed, queries fall back to global behavior
(backward compat for HTTP dashboard endpoints)
- When real org ID is passed, limits and spend are scoped to that
organization
- Thread `organizationID` through `ResolveUsageLimitStatus` →
`checkUsageLimit` → all chatd call sites
- Update dbauthz wrappers for new param structs
- HTTP endpoints (`chatCostSummary`, `getMyChatUsageLimitStatus`) pass
`uuid.Nil` with TODO for future org-scoped UI
- Add `TestResolveUsageLimitStatus_OrgScoped` with 5 test cases covering
org isolation, nil-UUID fallback, spend scoping, and user override
priority
Closescoder/internal#1466
> 🤖
## Summary
Adds a `sanitizeCredentialHint` safety check in the db-to-SDK conversion
layer to ensure credential hints are always masked before being exposed
in the API. Also adds `credential_kind` and `credential_hint` assertions
to the session threads API test.
Ethan