Commit Graph
28 Commits
Author SHA1 Message Date
Michael Suchacz 6b8f820493 feat: remove native chat cost tracking in favor of AI Gateway cost data (#27330)
## Stack Context

This stack makes AI Gateway data and budgets the source of truth for AI
spend controls.

1. Re-back the per-chat cost endpoint with AI Gateway data (#27328,
merged).
2. Remove native chat usage limits (#27329, merged).
3. **This PR, now based on `main`:** remove native chat cost tracking
and its dedicated admin UI.

## Summary

Removes native per-message price calculation, model pricing fields, cost
persistence, aggregate cost queries, and admin cost API types. It also
deletes the Analytics and Spend pages plus their legacy redirects. The
AI Gateway-backed per-chat cost row and compact budget indicators
remain.

The spend documentation is renamed to `spend-management.md` and updated
for the remaining surfaces, group budget APIs, CSV export, upgrade
handling for native pricing and cost history, and the absence of a
deployment-wide spend dashboard. The per-chat cost API documents that
data follows AI Gateway retention and reports zero after all matching
requests are purged.

No schema is dropped in this release. `chat_messages.total_cost_micros`
remains nullable and unwritten so replicas from the previous release can
continue inserting messages during rolling upgrades. #27600 tracks
removal after the compatibility window.

> Mux prepared this PR on Mike's behalf.
2026-08-04 12:27:38 +02:00
Michael Suchacz f0e6ac64b3 feat: remove native chat usage limits in favor of AI Gateway budgets (#27329)
## Stack Context

This stack makes AI Gateway data and budgets the source of truth for AI
spend controls.

1. Re-back the per-chat cost endpoint with AI Gateway data (#27328,
merged).
2. **This PR:** remove native chat usage limits.
3. Remove native chat cost tracking and its dedicated admin UI (#27330).

## Summary

Removes the native usage-limit API, SDK types, SQL, and chat enforcement
for deployment, user, and group chat limits. Compact AI Gateway budget
indicators remain in the Agents sidebar, user menu, and group settings.
Gateway budget rejections and provider quota failures continue to
classify as usage-limit errors, including a 409 response for synchronous
title generation.

Budget-period labels now use the API's UTC boundaries, so users see the
same dates in every browser timezone. The documentation explains the AI
Gateway replacement, its licensing requirements, and the differences
from native limits.

No schema is dropped in this release. The usage-limit table, index, user
and group columns, constraints, audit mappings, and generated scan
fields remain for mixed-version rolling upgrades. #27600 tracks their
removal after the compatibility window.

## Breaking change

Native day, week, and month chat spend limits are removed and are not
migrated. AI Gateway budgets are month-based, group-scoped with per-user
overrides, and require the AI Gateway entitlement. Deployments without
that entitlement no longer have chat spend enforcement.

> Mux prepared this PR on Mike's behalf.
2026-08-04 11:36:49 +02:00
Michael Suchacz c6cee10e8b feat: add per-model OpenAI Responses API toggle (#27683)
chatd hardcoded `WithUseResponsesAPI()`, so the provider SDK's static
known-model list decided whether an OpenAI model spoke the Responses API
or Chat Completions. A model absent from that list silently fell back to
Chat Completions until the fantasy fork was patched.

This exposes the SDK's `WithResponsesAPIFunc` hook as a per-model
setting, `openai_config.use_responses_api`, stored in the existing
`chat_model_configs.options` JSONB. Unset keeps the known-model list,
`true` forces Responses, `false` forces Chat Completions. There is no
migration.

It sits in a new construction-time `openai_config` section rather than
in `provider_options.openai` because it selects the API when the client
is built, while `provider_options` holds per-request parameters. That
placement is also load-bearing: a config setting only this field would
otherwise materialize an OpenAI request-options struct and turn on
provider-side response storage, since `Store` defaults to true there.

Three places independently decided the transport and would silently
disagree with the client actually built:

| Site | Effect when it disagrees |
| --- | --- |
| `ModelFromConfig` | the transport being overridden |
| `AcceptsFilePartMediaType` | text attachments dropped, since Responses
natively accepts only images and PDFs |
| `UsesResponsesOptions` | the SDK type-asserts the concrete options
struct, so every OpenAI option is discarded |

They share one predicate here, `chatopenai.UsesResponsesAPI`, with the
override threaded to each. The rest of the stack removes that threading
by resolving the transport once and carrying it. Compaction overrides
and the quickgen debug model built clients without `ConfigOptions`, so
they now pass it and pick up both this setting and the existing
Anthropic beta headers.

The toggle also makes transport-conditional option handling
admin-switchable, so two hardening changes ride along.
`ServiceTierFromChat` now maps every tier the codersdk enum advertises
(`auto`, `default`, `flex`, `scale`, `priority`); it previously returned
nil for `default` and `scale`, so flipping a model to Responses silently
dropped a configured `service_tier` that the API accepts (fantasy
forwards the value unchanged). And a new
`TestProviderOptionsTransportParity` pins, per `provider_options.openai`
field, which transport honors it, against a table in ARCHITECTURE.md, so
a field honored on one transport and silently ignored on the other fails
the test unless recorded as intentional.

Review rounds also caught two lifecycle gaps around the new field.
`isZeroChatModelCallConfig` now inspects `OpenAIConfig`, so a stored
options blob whose only setting is this toggle survives into GET/list
responses instead of reading as `model_config: null`;
`TestIsZeroChatModelCallConfigCoversEveryField` sets each config field
in isolation and fails if any field is invisible to the zero check. And
the model editor's update path sends an explicit empty `model_config`
when an edit clears the last field, since an omitted property preserves
the stored options server-side; covered by the
`EditClearingLastOptionSendsEmptyConfig` story.

Azure keeps following the known-model list, because the Azure provider
exposes no equivalent hook. The model editor renders Azure with the
OpenAI option schema, so instead of shipping a visible but inert
control, the option schema generator gains a `providers` struct tag that
it emits as `visible_for_providers`. Gating uses the raw provider type
rather than the alias table, so the control appears only for
openai-typed providers. No hand-written frontend field: the editor
renders it from the generated schema.

Closes
https://linear.app/codercom/issue/CODAGT-874/add-completionsresponses-api-toggle-in-model-editor

> Mux prepared this PR on Mike's behalf.
2026-08-04 09:30:27 +02:00
Michael Suchacz c17bed25e0 feat: wire chat lifecycle hooks into chatd (#27429)
Wires chat lifecycle hooks into chatd, gated by the
`agent-lifecycle-hooks` experiment. Part of the lifecycle hooks stack
(#27401, #27428, #27430). See `docs/admin/setup/chat-lifecycle-hooks.md`
for the consumer-facing contract.

## Summary

When a hook URL is configured, chatd dispatches `session_start`,
`user_prompt_submit`, `pre_tool_use`, `post_tool_use`, `pre_compact`,
`post_compact`, and `stop` events to the consumer and applies its
responses.

## Design

- **Stateless**: Coder stores no hook dispatch or decision state.
Delivery is at least once; consumers deduplicate on stable payload
identifiers (chat ID, event type, tool-use ID) and answer duplicates
with the same decision.
- **Admission-time prompt effects**: `user_prompt_submit` dispatches
exactly once per submission (create, send, queue, edit, subagent spawn)
and folds its effects into the stored prompt as typed message parts:
original-or-overridden user parts, then model-only `hook-context`, then
a user-visible `hook-notice`. Hook context is stripped from every
client-facing conversion; hook notices are excluded from model prompts.
The server rejects hook parts in client-submitted content.
- **Tool gating**: `pre_tool_use` allow can override tool input; deny
becomes a synthetic denied tool result, with any returned model context
persisted as a model-only transcript row so it never reaches clients.
The denial text identifies an external policy (the deployment's
lifecycle hook) as the source and marks the decision as persistent, so
the model explains the denial instead of retrying it or misreporting it
as an infrastructure failure.
- **Fail closed**: a dispatch failure rejects the triggering request or
moves the chat to the error state in the same transaction as the
affected step, so a runnable state is never published with unapproved
content.
- **Admission before persistence**: `pre_tool_use` is dispatched for the
calls the model produced, before the assistant message is stored. See
"Staged tool admission" below.
- **Fresh dispatch per tool call**: every non-provider-executed tool
call is decided by its own `pre_tool_use` dispatch; Coder never reuses
an earlier decision on the consumer's behalf. Retries re-dispatch the
same logical event.

## Structure

All hook dispatch flows through one seam: entry points build a
`chathooks.Chat` (chat identity) and a `chathooks.Message` (event
details) and call `Trigger.Trigger`, the only component that talks to
the dispatcher. The integration lives in the `coderd/x/chatd/chathooks`
subpackage, split by responsibility:

- `trigger.go`: the trigger seam; builds the wire envelope per event,
normalizes deny into a typed error, and holds the package's single
enabled-check.
- `effects.go`: pure conversion of hook results into transcript rows and
prompt parts.
- `errors.go`: failure classification (dispatch error messages, denial
mapping, tool-result dispatch-failure scanning).
- `tooluse.go`: the tool-call gate (`pre_tool_use` preflight,
`post_tool_use` payloads, applying admitted input to the step).

Server-bound glue stays in `coderd/x/chatd/hook_server.go`: the
chat-parking dispatch error handlers, the step-commit row insertion
wrappers, and the dynamic post-tool-use state loader, which depends on
chatd validation types.

This PR adopts the `codersdk/x/agenthooks` and
`coderd/x/agenthooks/dispatch` import paths introduced at the tip of
#27401; intermediate commits still reference the pre-move paths and are
not individually buildable.

## Staged tool admission

`pre_tool_use` originally ran at tool execution time, which is after the
assistant message carrying the tool call was already committed. An
`input_override` therefore had to rewrite stored message content in
place. @hugodutka pointed out that chatd treats message content as
immutable, and that the rewrite was a shortcut rather than a
requirement.

It was also a correctness problem in its own right: the rewrite only
updated the database, so the transcript could show one input while a
different one had executed.

The hook now runs before the step is persisted:

```text
provider stream ends (tool calls complete, in memory)
  -> pre_tool_use dispatch per call
  -> ONE transaction: assistant row with admitted inputs, synthetic denials, hook rows
  -> execute
```

The step is inserted once, carrying the input the tool runs with.
`UpdateChatMessageContentByID` and `Tx.UpdateMessageContent` are deleted
from #27428, so message content stays immutable.

Two consequences, both intentional:

- **Clients converge rather than wait.** Tool-call parts still stream
live, so a rewritten call briefly shows the model's proposed input
before the committed message replaces it. The chat store already clears
stream state when an assistant message arrives, so the stored input wins
with no frontend change and no added latency before tool cards appear.
- **A call already in history was already admitted.** Execution consumes
the stored input instead of dispatching a second decision, which keeps
one dispatch and one set of hook effects per call. A consumer policy
change between admission and execution applies to later calls, not to
calls already admitted.

The per-chat debug endpoint still records the provider's original tool
input. Its purpose is to report provider behavior, and it requires an
explicit per-chat debug flag; the invariant here covers the transcript.

## Configuration

Adds `chat-hook-url`, `chat-hook-secret`, `chat-hook-timeout`, and
`chat-hook-enabled` deployment options with startup validation. The
flags are hidden from `coder server --help` while the feature is
experimental; the setup guide documents them.

## Tool input validation

Built-in tool arguments reach a consumer as raw JSON with key spelling
preserved, but the tools decode those bytes with Go, which matches
struct fields case-insensitively and keeps the last match. A policy
reading `path` could therefore authorize one value while the tool
executed another, and a lone case variant such as `{"PATH":"/secret"}`
was invisible to a policy checking for `path`.

Coder now rejects a built-in tool call whose input repeats a key or
spells a schema property with different capitalization, before the
`pre_tool_use` dispatch, so a consumer is never asked to authorize bytes
whose meaning depends on the reader. Rejected calls produce an error
result the model can retry; unambiguous calls in the same batch still
run. A consumer-authored `input_override` is rechecked after the
dispatch and fails the turn closed, because the model cannot correct it.
Dynamic and MCP inputs are excluded because the client and the workspace
agent execute those calls rather than coderd.

Two paths needed more than a schema check. Execution resolves a
deprecated tool name to its canonical tool, so validation resolves
aliases first. The `edit_files` decoder also reads `search` and
`replace`, which its schema does not advertise, so those aliases are now
matched exactly and their case variants ignored.

A hook denial now returns a structured 403 carrying `kind:
"hook_denied"`, mirroring the dispatch-failure response that already
carries its own kind. Without it a client cannot tell a policy decision
apart from a generic failure, and the chat UI titled a denial "Request
failed". Adding a kind needs no migration: `ChatErrorKind` is persisted
only inside the JSONB `chats.last_error` column, whose decoder accepts
unknown kinds.

The hook docs also correct the tool-input convergence window. A batch
dispatches sequentially before the assistant row commits, so the
original input stays visible for a span that scales with the number of
tool calls in the step rather than a single hook timeout.

> This PR was written by Mux, an AI coding agent, on Mike's behalf.
2026-07-29 11:39:12 +00:00
Danielle Maywood be226409b8 fix: delete the unused ChatMessagePart.Signature field (#27588) 2026-07-28 16:26:19 +01:00
Ethan b0f0a54ab7 feat(codersdk): add strict unmarshalling for ChatModelCallConfig (#27187)
Adds `ChatModelCallConfig.UnmarshalStrict`: `UnmarshalJSON` except
unknown fields and trailing data are errors instead of being silently
dropped.

`model_config` is free-form JSON at its edges (Terraform config, API
bodies), so a typo'd setting is dropped with no signal;
coder/terraform-provider-coderd#388 uses this for plan-time validation.
It has to live in codersdk because the custom `UnmarshalJSON` and its
unexported aux struct (which defines the accepted key set, including
legacy pricing aliases) make strict decoding impossible from outside the
package. `UnmarshalJSON` stays lenient since it is on the read path for
stored configs and older clients, where unknown keys mean version skew
rather than user error.

_Opened by Coder Agents on behalf of @ethanndickson._

Relates to CODAGT-797
2026-07-14 03:32:03 +00:00
Danielle Maywood d66e4d794f feat: add configurable reasoning effort to Coder agents (#26974) 2026-07-09 23:35:12 +01:00
Hugo Dutka 4debd23cbb fix: chatd refactor (#26270)
Implements the chatd stabilization RFC.

Combines:
- https://github.com/coder/coder/pull/25908
- https://github.com/coder/coder/pull/25923
- https://github.com/coder/coder/pull/26109
- https://github.com/coder/coder/pull/26110
- https://github.com/coder/coder/pull/26111
- https://github.com/coder/coder/pull/26112
2026-06-12 13:33:12 +02:00
Michael Suchacz c4792cf104 fix: show Anthropic Opus 4.7+ thinking (#26026)
## Summary

- Updates Coder's pinned `github.com/coder/fantasy` fork to include
coder/fantasy#39.
- Exposes Anthropic `thinking_display` as a typed chat model provider
option with `summarized` and `omitted` values.
- Validates configured `thinking_display` values and maps them to
`fantasyanthropic.ProviderOptions.ThinkingDisplay`.
- Regenerates the API/UI option schemas so the admin model config form
gets a generated select field.

## Tests

- `go mod tidy`
- `make gen`
- `go test ./codersdk ./coderd/x/chatd/chatprovider ./coderd -run
'TestChatModelProviderOptions|TestAnthropicThinkingDisplayFromChat|TestProviderOptionsFromChatModelConfig_AnthropicThinkingDisplay|TestMergeMissingProviderOptions_AnthropicThinkingDisplay|TestValidateChatModelProviderOptions_AnthropicThinkingDisplay'`
- `go test ./coderd/x/chatd/... ./codersdk`
- `go test ./coderd -run
'TestValidateChatModelProviderOptions_AnthropicThinkingDisplay'`
- `pnpm --dir site exec -- biome lint --error-on-warnings
src/api/chatModelOptionsGenerated.json src/api/typesGenerated.ts`
- pre-commit hook, including fmt, lint, and slim build

> Mux working on behalf of Mike.
2026-06-05 08:37:54 +02:00
Kyle CarberryandCoder Agent 385146000b feat: record created_at/completed_at on reasoning ChatMessageParts (#24789)
Records reasoning start and end times on persisted reasoning
`ChatMessagePart`s so reasoning duration can be computed for stored
chats. Backend-only: no SSE changes and no frontend rendering ship in
this PR.

The `created_at` field on `ChatMessagePart` is extended to also be
present on `reasoning` parts (it previously appeared only on `tool-call`
and `tool-result`), and a new `completed_at` field is added for
`reasoning` parts.

### How timestamps are recorded

- `StreamPartTypeReasoningStart`: stamp `startedAt = dbtime.Now()` on
the active reasoning state.
- `StreamPartTypeReasoningEnd`: stamp `completedAt = dbtime.Now()` and
append both into parallel `[]time.Time` slices on `stepResult`.
- Persistence reads the slices in occurrence order (reasoning has no
provider-side ID) and applies them to the matching `ChatMessagePart` via
`buildAssistantPartsForPersist`. The first reasoning block's stamps go
onto the first reasoning part, and so on.
- `flushActiveState` flushes partial reasoning interrupted before
`StreamPartTypeReasoningEnd` with `startedAt` from the active state and
`completedAt = dbtime.Now()` at the interruption.

### Why two fields, not one?

Tool calls and results are point events. The frontend computes their
duration by subtracting the call's `created_at` from the result's
`created_at`. Reasoning is one assistant part that brackets a span, so
we record both endpoints on the part itself.

### Why not stamp in `PartFromContent`?

Same rationale as #24101: `PartFromContent` is called during both SSE
publishing and persistence. Stamping there would yield incorrect
persistence-time timestamps for reasoning blocks that finished much
earlier in the step. Instead we capture in the chatloop and apply during
persistence.

<details><summary>Implementation plan</summary>

- `codersdk/chats.go`: extend `CreatedAt`'s `variants` to include
`reasoning?`; add `CompletedAt *time.Time` with `variants:"reasoning?"`.
- `coderd/x/chatd/chatloop/chatloop.go`: extend `reasoningState` with
`startedAt`; extend `stepResult` and `PersistedStep` with parallel
`[]time.Time` reasoning slices; stamp on
`ReasoningStart`/`ReasoningEnd`; thread the slices through all
`PersistStep` call sites including the interrupt-safe path; record
partial reasoning in `flushActiveState`.
- `coderd/x/chatd/attachments.go`: walk reasoning parts in occurrence
order and apply `step.ReasoningStartedAt[i]` to `part.CreatedAt` and
`step.ReasoningCompletedAt[i]` to `part.CompletedAt`.

### Tests

- `codersdk/chats_test.go` round-trips `created_at` + `completed_at` on
reasoning parts and verifies omission when absent and partial
interrupted parts.
- `coderd/x/chatd/chatprompt/chatprompt_test.go` asserts
`PartFromContent(ReasoningContent{})` does NOT stamp timestamps.
- `coderd/x/chatd/chatloop/chatloop_test.go`
`TestRun_ReasoningTimestamps` drives a stream with two reasoning blocks
and verifies parallel slices, monotonicity, ordering, non-zero values,
and content-block ordering.
`TestRun_InterruptedReasoningFlushesTimestamps` cancels mid-reasoning
and verifies `flushActiveState` records a non-zero pair.
- `coderd/x/chatd/attachments_test.go` covers
`buildAssistantPartsForPersist` for normal interleaved reasoning,
partial (zero `completed_at`), and missing slices.

</details>

> Generated by Coder Agents.

Co-authored-by: Coder Agent <agent@coder.com>
2026-05-18 12:30:30 -04:00
Thomas Kosiewski 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>
2026-05-11 20:18:49 +02:00
Ethan 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.
2026-05-06 11:57:48 +10:00
Ethan 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
2026-05-05 12:56:06 +10:00
Kyle CarberryandEthan 35c26ce22a feat: add CreatedAt to tool-call and tool-result ChatMessageParts (#24101)
Adds an optional `CreatedAt` timestamp to `tool-call` and `tool-result`
`ChatMessagePart` variants so the frontend can compute tool execution
duration (`result.created_at - call.created_at`).

Timestamps are recorded at the correct moments in the chatloop:
- **Tool-call**: when the model stream emits the tool call
- **Tool-result**: when tool execution completes (or is interrupted)

These are passed through `PersistedStep.PartCreatedAt` so the
persistence layer can apply accurate timestamps to stored parts.
SSE-published parts also carry `CreatedAt` for real-time display.

Old persisted messages without `created_at` deserialize to `nil` — fully
backward compatible.

<details><summary>Implementation notes (Coder Agents
generated)</summary>

### Why not stamp in `PartFromContent`?

`PartFromContent` is called both for SSE publishing (correct timing) and
during persistence (wrong timing — both tool-call and tool-result would
get the same "persistence time" timestamp, yielding ~0 duration).
Instead, timestamps are captured in the chatloop at the right moments
and carried through `PersistedStep.PartCreatedAt` as a
`map[string]time.Time` keyed by `"call:<id>"` / `"result:<id>"`.

### Interrupted tool calls

`persistInterruptedStep` also stamps `CreatedAt` on synthetic error
results for cancelled/interrupted tool calls, so partial duration is
available.

### Files changed

| File | Change |
|------|--------|
| `codersdk/chats.go` | Add `CreatedAt *time.Time` field |
| `codersdk/chats_test.go` | JSON round-trip test |
| `coderd/database/dbtime/dbtime.go` | Add `TimePtr` helper |
| `coderd/x/chatd/chatloop/chatloop.go` | Track timestamps, pass through
`PersistedStep` |
| `coderd/x/chatd/chatd.go` | Apply timestamps during persistence |
| `coderd/x/chatd/chatprompt/chatprompt_test.go` | Verify
`PartFromContent` does NOT stamp |
| `site/src/api/typesGenerated.ts` | Auto-generated |

</details>

---------

Co-authored-by: Ethan <39577870+ethanndickson@users.noreply.github.com>
2026-04-08 12:42:03 -04:00
Kyle Carberry 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
2026-04-08 11:54:44 -04:00
Kyle Carberry ee855f9618 feat: make agent context paths configurable via env vars (#23878)
Replace hardcoded paths for instruction files, skills, and MCP config
with
values read from `CODER_AGENT_EXP_*` environment variables. Template
authors
configure paths via the existing `coder_agent` `env` block. The agent
resolves `~`, relative, and absolute paths locally, then serves the
resolved config over `GET /api/v0/context-config`. `chatd` fetches this
once per workspace attach and falls back to today's defaults for older
agents.

All path env vars are comma-separated, allowing multiple directories:

| Env Var | Default | Controls |
|---|---|---|
| `CODER_AGENT_EXP_INSTRUCTIONS_DIRS` | `~/.coder` | Dirs containing the
instruction file |
| `CODER_AGENT_EXP_INSTRUCTIONS_FILE` | `AGENTS.md` | Instruction file
name |
| `CODER_AGENT_EXP_SKILLS_DIRS` | `.agents/skills` | Skills directories
|
| `CODER_AGENT_EXP_SKILL_META_FILE` | `SKILL.md` | Skill metadata file
name |
| `CODER_AGENT_EXP_MCP_CONFIG_FILES` | `.mcp.json` | MCP config files |

### Example

```hcl
resource "coder_agent" "main" {
  os   = "linux"
  arch = "amd64"
  env = {
    CODER_AGENT_EXP_INSTRUCTIONS_DIRS  = "/opt/company/agent-config,~/.coder"
    CODER_AGENT_EXP_INSTRUCTIONS_FILE  = "CLAUDE.md"
    CODER_AGENT_EXP_SKILLS_DIRS        = "/opt/company/ai-skills,.agents/skills"
    CODER_AGENT_EXP_MCP_CONFIG_FILES   = "/opt/company/mcp.json,.mcp.json"
  }
}
```

<details>
<summary>Implementation Details</summary>

### Architecture

Follows the same pattern as MCP tool discovery:
agent resolves locally → exposes via HTTP → chatd consumes.

**Agent-side** (`agent/agentcontextconfig/`):
- `ResolvePath` / `ResolvePaths` handle `~`, relative, and absolute path
forms; returns `""` for relative paths when baseDir is empty
- `Config` reads env vars, falls back to defaults, resolves all paths
- `GET /api/v0/context-config` serves the resolved config as JSON

**chatd-side** (`coderd/x/chatd/`):
- Calls `conn.ContextConfig()` once on first workspace attach
- Falls back to hardcoded defaults on 404 (older agents)
- Iterates instruction dirs, skills dirs using resolved absolute paths
- `LSRelativityRoot` everywhere — no more home/root juggling

### Key design decisions

- **`EXP_` prefix**: env vars use `CODER_AGENT_EXP_*` to indicate
experimental status
- **Plural names**: comma-separated vars use plural names (`DIRS`,
`FILES`); single-value vars use singular (`FILE`)
- **Defaults in `workspacesdk`**: default constants live in
`codersdk/workspacesdk/` so both agent and server reference them without
cross-layer imports
- **`skillMetaFile` persistence**: stored on context-file parts via
`ContextFileSkillMetaFile` and restored on subsequent chat turns so
custom values survive across turns
- **Working dir dedup**: `slices.Contains` guard prevents reading the
same instruction file from both `InstructionsDirs` and the working
directory
- **MCP server dedup**: first-occurrence-wins dedup prevents leaking
duplicate connections from overlapping config files
- **ResolvePath safety**: returns `""` for relative paths when `baseDir`
is empty, so `ResolvePaths` filters them out

### Files changed

| File | Change |
|---|---|
| `agent/agentcontextconfig/` | New package — path resolution + HTTP
endpoint |
| `codersdk/workspacesdk/agentconn.go` | `ContextConfigResponse` type,
default constants, client method |
| `agent/agent.go` + `agent/api.go` | Wire up endpoint, pass config to
MCP |
| `agent/x/agentmcp/manager.go` | Accept `[]string` MCP config paths,
dedup by name |
| `coderd/x/chatd/chatd.go` | Fetch config, thread through, named
returns |
| `coderd/x/chatd/instruction.go` | Accept configurable dir + file name,
`skillMetaFileFromParts` |
| `coderd/x/chatd/chattool/skill.go` | Accept configurable dirs + meta
file |
| `codersdk/chats.go` | `ContextFileSkillMetaFile` field for persistence
|

### Test coverage

- `TestConfig` (4 cases): defaults, custom env vars, whitespace
trimming, comma-separated dirs
- `TestResolvePath` / `TestResolvePaths`: including empty baseDir edge
case
- `TestPersistInstructionFilesFallbackOnOlderAgent`: backward-compat
path when `ContextConfig` returns 404
- `TestChatMessagePartVariantTags`: updated exclusion list for new
internal field

### Backward compatibility

Older agents return 404 for the new endpoint. `chatd` catches this and
falls back to today's defaults via `readHomeInstructionFile` (using
`LSRelativityHome`). Existing workspaces work with no changes.

</details>
2026-04-01 12:28:47 -04:00
Kyle Carberry 4d2b0a2f82 feat: persist skills as message parts like AGENTS.md (#23748)
## Summary

Skills are now discovered once on the first turn (or when the workspace
agent changes) and persisted as `skill` message parts alongside
`context-file` parts. On subsequent turns, the skill index is
reconstructed from persisted parts instead of re-dialing the workspace
agent.

This makes skills consistent with the AGENTS.md pattern and is
groundwork for a future `/context` endpoint that surfaces loaded
workspace context to the frontend.

## Changes

- Add `skill` `ChatMessagePartType` with `SkillName` and
`SkillDescription` fields
- Extend `persistInstructionFiles` to also discover and persist skills
as parts
- Add `skillsFromParts()` to reconstruct skill index from persisted
parts on subsequent turns
- Update `runChat()` to use `skillsFromParts` instead of re-dialing
workspace for skills
- Frontend: handle new `skill` part type (skip rendering, hide
metadata-only messages)

## Before / After

| | AGENTS.md | Skills |
|---|---|---|
| **Before** | Persist as `context-file` parts, reconstruct from parts |
In-memory `skillsCache` only, re-dial workspace on cache miss |
| **After** | Persist as `context-file` parts, reconstruct from parts |
Persist as `skill` parts, reconstruct from parts |

The in-memory `skillsCache` remains for `read_skill`/`read_skill_file`
tool calls that need full skill bodies on demand.

<details><summary>Design context</summary>

This is the first step toward a unified workspace context
representation. Currently:
- Context files are persisted as message parts (works)
- Skills were only in-memory (inconsistent)
- Workspace MCP servers are cached in-memory (future work)

Persisting skills as parts means a future `/context` endpoint can query
both context files and skills from the same message parts in the DB,
without depending on ephemeral server-side caches.
</details>
2026-03-29 21:48:17 -04:00
Cian Johnston bfee7e6245 fix: populate all chat fields in pubsub events (#23664)
*Problem:* `publishChatPubsubEvent` was constructing a partial
`codersdk.Chat` that omitted `LastModelConfigID` and other fields. Go's
zero-value UUID caused the sidebar to show "Default model" for chats
received via SSE.

*Solution:*
- Extracted `convertChat`/`convertChats` from `exp_chats.go` into
`db2sdk.Chat`/`db2sdk.Chats`, alongside existing `ChatMessage`,
`ChatQueuedMessage`, and `ChatDiffStatus` converters.
`publishChatPubsubEvent` now calls `db2sdk.Chat(chat, nil)` instead of
maintaining its own copy of the conversion logic
- Added backend integration test
`TestWatchChats/CreatedEventIncludesAllChatFields`
- Added frontend regression tests for nil-UUID and valid model config ID
cases

> 🤖 Created by Coder Agents, reviewed by this human.
2026-03-26 16:49:26 +00:00
Kyle Carberry d9fc5a5be1 feat: persist chat instruction files as context-file message parts (#23592)
## Summary

Introduces a new `context-file` ChatMessagePart type for persisting
workspace instruction files (AGENTS.md) as durable, frontend-visible
message parts. This is the foundation for showing loaded context files
in the chat input's context indicator tooltip.

### Problem

Previously, instruction files were resolved transiently on every turn
via `resolveInstructions()` → `InsertSystem()` and injected into the
in-memory prompt without persistence. The frontend had no knowledge that
instruction files were loaded into context, and there was no way to
surface this information to users.

### Solution

Instruction files are now read **once** when a workspace is first
attached to a chat (matching how [openai/codex handles
it](https://developers.openai.com/codex/guides/agents-md)) and persisted
as `user`-role, `both`-visibility message parts with a new
`context-file` type. This ensures:

- **Durability**: survives page refresh (data is in the DB, returned by
`getChatMessages`)
- **Cache-friendly**: `user`-role avoids the system-message hoisting
that providers do, keeping the instruction content in a stable position
for prompt caching
- **Frontend-visible**: the frontend receives paths and truncation
status for future context indicator rendering
- **Extensible**: the same pattern works for Skills (future)

### Key changes

| Layer | Change |
|---|---|
| **SDK** (`codersdk/chats.go`) | Add `ChatMessagePartTypeContextFile`
with `context_file_path`, `context_file_content` (internal, stripped
from API), `context_file_truncated` fields |
| **Prompt expansion** (`chatprompt`) | Expand `context-file` parts to
`<workspace-context>` text blocks in `partsToMessageParts()` |
| **Chat engine** (`chatd.go`) | Add `persistInstructionFiles()`, called
on first turn with a workspace. Remove per-turn `resolveInstructions()`
+ `InsertSystem()` from `processChat()` and `ReloadMessages` |
| **Frontend** | Ignore `context-file` parts in `messageParsing.ts` and
`streamState.ts` (no rendering yet — follow-up will add tooltip display)
|

### How it works

1. On each turn, `processChat` checks if any loaded message contains
`context-file` parts
2. If not (first turn with a workspace), reads AGENTS.md files via the
workspace agent connection and persists them
3. For this first turn, also injects the instruction text into the
prompt (since messages were loaded before persistence)
4. On all subsequent turns, `ConvertMessagesWithFiles()` encounters the
persisted `context-file` parts and expands them into text automatically
— no extra resolution needed
2026-03-25 17:08:27 +00:00
Cian Johnston ef14654078 chore: move chat methods to ExperimentalClient (#23441)
- Changes all 41 chat method receivers in `codersdk/chats.go` from
`*Client` to `*ExperimentalClient` to ensure that callers are aware that
these reference potentially unstable `/api/experimental` endpoints.


> 🤖 This PR was created with the help of Coder Agents, and has been
reviewed by my human. 🧑‍💻
2026-03-23 14:32:11 +00:00
Cian Johnston ff8dcca2c7 feat: add global chat workspace TTL setting (#23265)
- Add `agents_workspace_ttl` site config (default: whatever the template
says a.k.a. `0s`)
- Expose via GET/PUT `/api/experimental/chats/config/workspace-ttl`
- Chat tool reads setting and passes `TTLMillis` on workspace creation
- Existing autostop infrastructure handles the rest (zero changes to
LifecycleExecutor, CalculateAutostop, or activity bumping)
- ⚠️ Template-level `UserAutostopEnabled=false` overrides this global
default. Not touching this.
- Frontend: "Workspace Lifetime" control in /agents/settings Behavior
tab (admin-only)

> This PR was created with the help of Coder Agents, and has been
reviewed by several humans and robots. 🤖🤝🧑‍💻
2026-03-20 17:38:39 +00:00
Mathias Fredriksson fb61c48227 fix: remove omitempty from required ChatMessagePart fields (#23250)
ChatMessagePart uses a flat struct with omitempty on all fields,
but some fields are required in their TypeScript variant (no ?
suffix in the variants struct tag). When Go omits a zero-valued
required field, the frontend receives undefined where it expects
a concrete value.

Remove omitempty from fields that are required in at least one
variant: Text, URL, MediaType, FileName, StartLine, EndLine,
Content. Fields where all variants use ? keep omitempty.

Add a sub-test to TestChatMessagePartVariantTags that enforces
this invariant via reflection so future additions cannot
reintroduce the mismatch.

Supersedes #23249
2026-03-18 18:43:50 +00:00
Mathias Fredriksson 8b4d35798a refactor: type both chat message parsers (#23176)
Both message parsers accepted untyped input and relied on scattered
asRecord/asString calls to extract fields at runtime. With the
discriminated ChatMessagePart union, both accept typed input directly
and narrow via switch (part.type).

parseMessageContent narrows from (content: unknown) to
(content: readonly ChatMessagePart[] | undefined), removing legacy
input shape handling the Go backend normalizes away.
applyMessagePartToStreamState narrows from Record<string, unknown>
to ChatMessagePart.

The SSE type guards had a & Record<string, unknown> intersection
that widened everything untyped downstream. Since the data comes
from our own API, the intersection was removed and all handlers in
ChatContext now use generated types directly.

Fixes tool_call_id and tool_name variant tags in codersdk/chats.go:
marked optional to match reality (Go guards against empty values,
omitempty omits them at the wire level).

Refs #23168, #23175
2026-03-18 15:50:57 +02:00
Mathias Fredriksson 66f809388e refactor: make ChatMessagePart a discriminated union in TypeScript (#23168)
The flat ChatMessagePart interface had 20+ optional fields, preventing
TypeScript from narrowing types on switch(part.type). Each consumer
needed runtime validation, type assertions, or defensive ?. chains.

Add `variants` struct tags to ChatMessagePart fields declaring which
union variants include each field. A codegen mutation in apitypings
reads these tags via reflect and generates per-variant sub-interfaces
(ChatTextPart, ChatReasoningPart, etc.) plus a union type alias.
A test validates every field has a variants tag or is explicitly
excluded, and every part type is covered.

Remove dead frontend code: normalizeBlockType, alias case branches
("thinking", "toolcall", "toolresult"), legacy field fallbacks
(line_number, typedBlock.name/id/input/output), and result_delta
handling. Add test coverage for args_delta streaming, provider_executed
skip logic, and source part parsing.
2026-03-18 09:27:51 +00:00
Michael Suchacz 1031da9738 feat: add agent chat spend limiting (backend) (#23071)
Introduces deployment-scoped spend limiting for Coder Agents, enabling
administrators to control LLM costs at global, group, and individual
user levels.

## Changes

- **Database migration (000437)**: `chat_usage_limit_config`
(singleton), `chat_usage_limit_overrides` (per-user),
`chat_usage_limit_group_overrides` (per-group)
- **Single-query limit resolution**: individual override > min(group) >
global default via `ResolveUserChatSpendLimit`
- **Fail-open enforcement** in chatd with documented TOCTOU trade-off
- **Experimental API** under `/api/experimental/chats/usage-limits` for
CRUD on limits
- **`AsChatd` RBAC subject** for narrowly-scoped daemon access (replaces
`AsSystemRestricted`)
- **Generated TypeScript types** for the frontend SDK

## Hierarchy

1. Individual user override (highest)
2. Minimum of group limits
3. Global default
4. Disabled / unlimited

Currency stored as micro-dollars (`1,000,000` = $1.00).

Frontend PR: #23072
2026-03-17 01:24:03 +01:00
Michael Suchacz c3b6284955 feat: add chat cost analytics backend (#23036)
Add cost tracking for LLM chat interactions with microdollar precision.

## Changes
- Add `chatcost` package for per-message cost calculation using
`shopspring/decimal` for intermediate arithmetic
- **Ceil rounding policy**: fractional micros round UP to next whole
micro (applied once after summing all components)
- Database migration: `total_cost_micros` BIGINT column with historical
backfill and `created_at` index
- API endpoints: per-user cost summary and admin rollup under
`/api/experimental/chats/cost/`
- SDK types: `ChatCostSummary`, `ChatCostModelBreakdown`,
`ChatCostUserRollup`
- Fix `modeloptionsgen` to handle `decimal.Decimal` as opaque numeric
type
- Update frontend pricing test fixtures for string decimal types

## Design decisions
- `NULL` = unpriced (no matching model config), `0` = free
- Reasoning tokens included in output tokens (no double-counting)
- Integer microdollars (BIGINT) for storage and API responses
- Price config uses `decimal.Decimal` for exact parsing; totals use
`int64`

Frontend: #23037
2026-03-13 18:30:49 +01:00
Mathias Fredriksson bdbcd3428b feat(coderd/chatd): unify chat storage on SDK parts and fix file-reference rendering (#22958)
File-reference parts in user messages were flattened to `TextContent` at
write time because fantasy has no file-reference content type. The
frontend never saw them as structured parts.

This moves all write paths (user, assistant, tool) from fantasy envelope
format to `codersdk.ChatMessagePart`. The streaming layer (`chatloop`)
is untouched, the conversion happens at the serialization boundary in
`persistStep`.

Old rows are still readable. `ParseContent` uses a structural heuristic
(`isFantasyEnvelopeFormat`) to distinguish legacy envelopes from SDK
parts. We chose this over try/fallback because fantasy envelopes
partially unmarshal into `ChatMessagePart` (the `type` field matches)
while silently losing content. A guard test enforces that no SDK part
can produce the envelope shape.

This is forward-only: new rows are unreadable by old code. Chat is
behind a feature flag so rollback risk is contained.

Also adds a typed `ChatMessageRole` to replace raw strings and
`fantasy.MessageRole*` casts at the persistence boundary. The type
covers `ChatMessage.Role`, `ChatStreamMessagePart.Role`, the
`PublishMessagePart` callback chain, and all DB write sites.
`fantasy.MessageRole*` remains only where we build `fantasy.Message`
structs for LLM dispatch.

Separately, `ProviderMetadata` was leaking to SSE clients via
`publishMessagePart`. `StripInternal` now runs on both the SSE and REST
paths, covering this.

Other cleanup:

- Old `db2sdk.contentBlockToPart` silently dropped metadata on
text/reasoning/tool-call content. New code preserves it.
- `providerMetadataToOptions` now logs warnings instead of silently
returning nil.
- `db2sdk` shrinks from ~250 lines of parallel conversion to ~15 lines
delegating to `chatprompt.ParseContent()`, removing the `fantasy` import
entirely.

Refs #22821
2026-03-13 17:53:26 +02:00
edee917d88 feat: add experimental agents support (#22290)
feat: add AI chat system with agent tools and chat UI

Introduce the chatd subsystem and Agents UI for AI-powered chat
within Coder workspaces.

- Add chatd package with chat loop, message compaction, prompt
  management, and LLM provider integration (OpenAI, Anthropic)
- Add agent tools: create workspace, list/read templates, read/write/
  edit files, execute commands
- Add chat API endpoints with streaming, message editing, and
  durable reconnection
- Add database schema and migrations for chats, chat messages, chat
  providers, and chat model configs
- Add RBAC policies and dbauthz enforcement for chat resources
- Add Agents UI pages with conversation timeline, queued messages
  list, diff viewer, and model configuration panel
- Add comprehensive test coverage including coderd integration tests,
  chatd unit tests, and Storybook stories
- Gate feature behind experiments flag

---------

Co-authored-by: Cian Johnston <cian@coder.com>
Co-authored-by: Danielle Maywood <danielle@themaywoods.com>
Co-authored-by: Jeremy Ruppel <jeremy@coder.com>
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-27 16:50:56 +00:00