chore: release v0.6.6

fix(garden): add carnivore plant category
chore: release v0.6.5
2026-07-12 22:18:50 -05:00 · 2026-07-12 22:18:26 -05:00 · 2026-07-09 00:38:50 -05:00 · 2026-07-09 00:38:33 -05:00 · 2026-07-08 22:51:47 -05:00 · 2026-07-08 22:51:31 -05:00
60 changed files with 3985 additions and 239 deletions
@@ -1,5 +1,6 @@
 node_modules
 .next
+.worktrees
 .git
 deploy
 docs
@@ -49,7 +49,13 @@ OPENPLANTBOOK_CLIENT_SECRET=

 # LLM assistant (OpenAI-compatible — Ollama, vLLM, LiteLLM, etc.)
 # Leave LLM_BASE_URL unset to use the built-in mock provider (CI / local without a model).
+# Voice input uses POST {LLM_BASE_URL}/audio/transcriptions (Whisper-compatible).
+# Photo messages use vision via the same chat/completions endpoint.
 LLM_PROVIDER=openai
 LLM_BASE_URL=
 LLM_API_KEY=
 LLM_MODEL=llama3.2
+# IANA timezone for assistant relative dates ("Thursday at 2"). Falls back to TZ, then America/Chicago.
+HOUSEHOLD_TIMEZONE=America/Chicago
+# Optional override for agent tool → /api/v1 self-calls (defaults to http://127.0.0.1:$PORT).
+# INTERNAL_API_BASE_URL=http://127.0.0.1:3000
@@ -3,10 +3,21 @@ name: CI
 on:
  push:
    branches: [main]
+    paths-ignore:
+      - "**/*.md"
+      - "docs/**"
  pull_request:
+    paths-ignore:
+      - "**/*.md"
+      - "docs/**"
+
+concurrency:
+  group: ci-${{ github.workflow }}-${{ github.ref }}
+  cancel-in-progress: true

 jobs:
  checks:
+    if: "github.event_name == 'pull_request' || !startsWith(github.event.head_commit.message, 'chore: release')"
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
@@ -15,6 +26,8 @@ jobs:
        run: |
          corepack enable
          corepack prepare pnpm@10.33.3 --activate
+          mkdir -p /pnpm-store
+          pnpm config set store-dir /pnpm-store

      - name: Install dependencies
        run: pnpm install --frozen-lockfile
@@ -27,23 +40,3 @@ jobs:

      - name: Format check
        run: pnpm format:check
-
-  build:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v4
-
-      - name: Enable pnpm
-        run: |
-          corepack enable
-          corepack prepare pnpm@10.33.3 --activate
-
-      - name: Install dependencies
-        run: pnpm install --frozen-lockfile
-
-      - name: Build
-        run: pnpm build
-        env:
-          DATABASE_URL: postgres://ci_user:ci_password@localhost:5432/ci_database
-          AUTH_SECRET: ci-auth-secret-for-build
-          NEXT_PUBLIC_APP_URL: http://localhost:3000
@@ -1,11 +1,18 @@
 name: Release Image

+# Primary release pipeline — pushes to registry.ginnoir.com (prod pulls this).
+# GitHub Actions .github/workflows/release.yml mirrors to GHCR as backup only.
+
 on:
  push:
    tags:
      - "v*"
  workflow_dispatch:

+concurrency:
+  group: release-${{ github.workflow }}-${{ github.ref }}
+  cancel-in-progress: false
+
 jobs:
  build-and-push:
    runs-on: ubuntu-latest
@@ -24,8 +31,31 @@ jobs:
            echo "image=registry.ginnoir.com/ginnoir/famapp"
          } >> "$GITHUB_OUTPUT"

-      - name: Install docker
-        run: apt-get update -qq && apt-get install -y -qq docker.io
+      - name: Ensure docker CLI + buildx
+        run: |
+          # Debian's docker.io package ships no buildx plugin, which the
+          # registry-cache build below requires. Install Docker's official
+          # CLI + buildx plugin so the build works regardless of what the
+          # runner image happens to provide.
+          if docker buildx version >/dev/null 2>&1; then
+            echo "docker + buildx already available"
+            docker version
+            docker buildx version
+            exit 0
+          fi
+
+          export DEBIAN_FRONTEND=noninteractive
+          apt-get update -qq
+          apt-get install -y -qq ca-certificates curl gnupg
+          install -m 0755 -d /etc/apt/keyrings
+          curl -fsSL https://download.docker.com/linux/debian/gpg -o /etc/apt/keyrings/docker.asc
+          chmod a+r /etc/apt/keyrings/docker.asc
+          echo "deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.asc] https://download.docker.com/linux/debian $(. /etc/os-release && echo "$VERSION_CODENAME") stable" \
+            > /etc/apt/sources.list.d/docker.list
+          apt-get update -qq
+          apt-get install -y -qq docker-ce-cli docker-buildx-plugin
+          docker version
+          docker buildx version

      - name: Login to registry
        run: |
@@ -33,16 +63,23 @@ jobs:
            --username "${{ secrets.REGISTRY_PUSH_USERNAME }}" \
            --password-stdin

-      - name: Build image
+      - name: Set up buildx
        run: |
-          docker build \
-            -t "${{ steps.meta.outputs.image }}:${{ steps.meta.outputs.version }}" \
-            -t "${{ steps.meta.outputs.image }}:${{ steps.meta.outputs.major_minor }}" \
-            -t "${{ steps.meta.outputs.image }}:latest" \
-            .
+          docker buildx create --name famapp-builder --use 2>/dev/null || docker buildx use famapp-builder
+          docker buildx inspect --bootstrap

-      - name: Push image
+      - name: Build and push image
+        env:
+          IMAGE: ${{ steps.meta.outputs.image }}
+          VERSION: ${{ steps.meta.outputs.version }}
+          MAJOR_MINOR: ${{ steps.meta.outputs.major_minor }}
+          CACHE: registry.ginnoir.com/ginnoir/famapp:buildcache
        run: |
-          docker push "${{ steps.meta.outputs.image }}:${{ steps.meta.outputs.version }}"
-          docker push "${{ steps.meta.outputs.image }}:${{ steps.meta.outputs.major_minor }}"
-          docker push "${{ steps.meta.outputs.image }}:latest"
+          docker buildx build \
+            --push \
+            --tag "${IMAGE}:${VERSION}" \
+            --tag "${IMAGE}:${MAJOR_MINOR}" \
+            --tag "${IMAGE}:latest" \
+            --cache-from "type=registry,ref=${CACHE}" \
+            --cache-to "type=registry,ref=${CACHE},mode=max" \
+            .
@@ -3,10 +3,21 @@ name: CI
 on:
  push:
    branches: [main]
+    paths-ignore:
+      - "**/*.md"
+      - "docs/**"
  pull_request:
+    paths-ignore:
+      - "**/*.md"
+      - "docs/**"
+
+concurrency:
+  group: ci-${{ github.workflow }}-${{ github.ref }}
+  cancel-in-progress: true

 jobs:
  checks:
+    if: "github.event_name == 'pull_request' || !startsWith(github.event.head_commit.message, 'chore: release')"
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
@@ -27,33 +38,3 @@ jobs:
      - run: pnpm lint

      - run: pnpm format:check
-
-  build:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v4
-
-      - uses: pnpm/action-setup@v4
-        with:
-          version: 10.33.3
-
-      - uses: actions/setup-node@v4
-        with:
-          node-version: 24
-          cache: pnpm
-
-      - run: pnpm install --frozen-lockfile
-
-      - uses: actions/cache@v4
-        with:
-          path: .next/cache
-          key: ${{ runner.os }}-nextjs-${{ hashFiles('pnpm-lock.yaml') }}-${{ hashFiles('src/**/*.ts', 'src/**/*.tsx', 'src/**/*.css') }}
-          restore-keys: |
-            ${{ runner.os }}-nextjs-${{ hashFiles('pnpm-lock.yaml') }}-
-            ${{ runner.os }}-nextjs-
-
-      - run: pnpm build
-        env:
-          DATABASE_URL: postgres://placeholder:placeholder@localhost:5432/placeholder
-          AUTH_SECRET: ci-placeholder-secret
-          NEXT_PUBLIC_APP_URL: http://localhost:3000
@@ -1,4 +1,7 @@
-name: Release
+name: Release (GHCR mirror)
+
+# Temporary backup mirror only. Production pulls from registry.ginnoir.com via
+# .gitea/workflows/release.yml — do not deploy from ghcr.io directly.

 on:
  push:
@@ -1,5 +1,72 @@
 # Changelog

+## [0.6.6](https://github.com/ginnoir/famapp/compare/v0.6.5...v0.6.6) (2026-07-13)
+
+### Bug Fixes
+
+- **garden:** add carnivore plant category ([b8229eb](https://github.com/ginnoir/famapp/commit/b8229eb9b5550cde98e5446615873e727ead05a8))
+
+## [0.6.5](https://github.com/ginnoir/famapp/compare/v0.6.4...v0.6.5) (2026-07-09)
+
+### Bug Fixes
+
+- **agent:** call api v1 via loopback instead of public url ([3e8fe2d](https://github.com/ginnoir/famapp/commit/3e8fe2d06dc31d3a1058b4b8942c46b1220a6b4c))
+
+## [0.6.4](https://github.com/ginnoir/famapp/compare/v0.6.3...v0.6.4) (2026-07-09)
+
+### Bug Fixes
+
+- **agent:** stop tool thrash after writes and log rounds ([72d123b](https://github.com/ginnoir/famapp/commit/72d123b9a0f67589d92614a8d2138912585b0d79))
+
+## [0.6.3](https://github.com/ginnoir/famapp/compare/v0.6.2...v0.6.3) (2026-07-09)
+
+### Bug Fixes
+
+- **agent:** raise tool rounds and ease calendar creates ([d3e79ed](https://github.com/ginnoir/famapp/commit/d3e79edb9ef0b931fa9d6e6629dad2677d661741))
+
+## [0.6.2](https://github.com/ginnoir/famapp/compare/v0.6.1...v0.6.2) (2026-07-09)
+
+### Features
+
+- **agent:** add assistant model selector ([4c82d55](https://github.com/ginnoir/famapp/commit/4c82d551ea1f0c8091a3ffc31935a8d22855bbc0))
+- **agent:** add llm model discovery helper ([0bf63cf](https://github.com/ginnoir/famapp/commit/0bf63cf8a83a1adca58fa9e8bf42f16dac60687b))
+- **agent:** expose available assistant models ([27db599](https://github.com/ginnoir/famapp/commit/27db599444fc0bb80d5a1650e2f5b5ba4f695c8e))
+- **agent:** let users choose model route ([ec3f96d](https://github.com/ginnoir/famapp/commit/ec3f96dab170fb2333780438bdec3628cfc58116))
+- **agent:** persist assistant model preference ([bf7e07e](https://github.com/ginnoir/famapp/commit/bf7e07ead91dd8c428f06551afb2113ce838cc82))
+- **agent:** refresh assistant model catalog ([b279f16](https://github.com/ginnoir/famapp/commit/b279f16ba0e1537d2752d30bf5e565f4ede400af))
+- **agent:** route chat through selected model ([9b7a044](https://github.com/ginnoir/famapp/commit/9b7a04431cb12609cbcd766e05fbc411599e0b34))
+
+### Bug Fixes
+
+- **agent:** hide unrelated models for alias fallback ([4dc04b2](https://github.com/ginnoir/famapp/commit/4dc04b21d63aaef7c773f238602f06edbbf03509))
+- **agent:** improve model selector legibility ([bb679d0](https://github.com/ginnoir/famapp/commit/bb679d02be28440acbc860146cbcb3809224aa09))
+- **agent:** move route selector to settings ([49732b0](https://github.com/ginnoir/famapp/commit/49732b02f31cbef57e6cd3b577bee6dbd998e029))
+- **agent:** reject padded assistant model ids ([3983c30](https://github.com/ginnoir/famapp/commit/3983c30fe1b8a324f7d5826df0b24506fe054e50))
+- **agent:** use native model selector ([716bca0](https://github.com/ginnoir/famapp/commit/716bca0fcba8f2026c814f668bf873cf61a0ad16))
+- **agent:** validate assistant model requests ([876e726](https://github.com/ginnoir/famapp/commit/876e72671a0b82b579a9783eb86f452a4a026a52))
+
+### Documentation
+
+- plan assistant model selector ([eb8e562](https://github.com/ginnoir/famapp/commit/eb8e5625656a1e3fe97e19b0bb2514660cf0c5f6))
+- specify assistant model selector ([1a58ef9](https://github.com/ginnoir/famapp/commit/1a58ef993e62ea2855d7d5aafc17446a0e91c33c))
+
+## [0.6.1](https://github.com/ginnoir/famapp/compare/v0.6.0...v0.6.1) (2026-07-05)
+
+### Features
+
+- **agent:** add voice input and photo attachments to assistant ([c8db547](https://github.com/ginnoir/famapp/commit/c8db5475d314b239246e4786e362bb044992d660))
+
+## [0.6.0](https://github.com/ginnoir/famapp/compare/v0.5.6...v0.6.0) (2026-07-05)
+
+### Features
+
+- per-user assistant name and system prompt customization ([e5e5090](https://github.com/ginnoir/famapp/commit/e5e509081c611b8f84e2e529f82bfa5bd7f9da52))
+
+### Documentation
+
+- record v0.5.6 prod deploy and migration repair ([cf50f20](https://github.com/ginnoir/famapp/commit/cf50f2071442948b8d8493b464f74bc05f3900b2))
+- registry is primary image source, ghcr is backup mirror ([a2e5eb1](https://github.com/ginnoir/famapp/commit/a2e5eb111d44d7781bc3852a6d4346cb10387b52))
+
 ## [0.5.6](https://github.com/ginnoir/famapp/compare/v0.5.5...v0.5.6) (2026-07-05)

 ### Bug Fixes
@@ -4,7 +4,7 @@ Self-hosted family coordination web app. Shared calendar, lists, notes, and gard

 [![CI](https://github.com/ginnoir/famapp/actions/workflows/ci.yml/badge.svg)](https://github.com/ginnoir/famapp/actions/workflows/ci.yml)
 [![Latest release](https://img.shields.io/github/v/release/ginnoir/famapp?sort=semver)](https://github.com/ginnoir/famapp/releases)
-[![Docker image](https://img.shields.io/badge/image-ghcr.io%2Fginnoir%2Ffamapp-blue?logo=docker)](https://github.com/ginnoir/famapp/pkgs/container/famapp)
+[![Docker image](https://img.shields.io/badge/image-registry.ginnoir.com%2Fginnoir%2Ffamapp-blue?logo=docker)](https://gitea.ginnoir.com/ginnoir/famapp)
 [![Node ≥ 22](https://img.shields.io/badge/node-%E2%89%A522-brightgreen?logo=node.js)](https://nodejs.org)

 ---
@@ -31,7 +31,7 @@ Living progress tracker. Update at the end of each task. Codex and Claude Code b

 - **92 — Bang stats dashboard widget** (Gitea #31, commit `e1c2a09`). `bangs.stats` widget with monthly/yearly counts, average days between bangs, recent month breakdown.

- **P2 batch follow-ups** (release v0.5.6). Migration journal entries for `0022`/`0023` (prod apply fix); dashboard edit previews keyed by placement index (`bangs.stats` live in edit mode); notes comments; comment revalidation on `/notes`.
+- **P2 batch follow-ups** (release **v0.5.6**, prod deployed 2026-07-05). Migration journal entries for `0022`/`0023`; dashboard edit previews keyed by placement index (`bangs.stats` live in edit mode); notes comments; Dockerfile build-time env vars (fixes release CI). **Prod:** pulled `ghcr.io/ginnoir/famapp:latest` → tagged `registry.ginnoir.com/ginnoir/famapp:latest`, recreated `famapp` container. Prod DB had 21/24 migration rows (0022/0023 applied out of order); applied missing `0019`–`0021` schema + journal rows — now 24 migrations, `comments` + `default_event_reminder_offsets` confirmed.

 - **01 — Repo init & tooling** (commit `b89690a`). pnpm 10 + TS strict + ESLint flat + Prettier. All acceptance criteria green.
 - **02 — Next.js app skeleton**. Next.js 15 + React 19 + Tailwind v4 + shadcn/ui (button, card, input, dialog). `pnpm dev` serves placeholder, `pnpm build` produces `.next/standalone/`, `pnpm lint` clean. Added `.npmrc` with `node-linker=hoisted` for Windows symlink compatibility.
@@ -83,7 +83,7 @@ Phase 9 — Post-v0.1 (see `docs/superpowers/specs/2026-07-03-backlog-triage-des

 P2/P3 backlog is filed on Gitea only (no task briefs yet) — see `docs/issues-map.md` designs 7–9, 11–12, 15–19.

-**How to resume:** P2 batch #28–#31 complete (released v0.5.6). Next: remaining P2/P3 Gitea backlog (#32+) or homelab LLM wiring (`LLM_BASE_URL` in homelabstack `.env`).
+**How to resume:** P2 batch #28–#31 complete (released + deployed v0.5.6 on prod). Next: remaining P2/P3 Gitea backlog (#32+) or homelab LLM wiring (`LLM_BASE_URL` in homelabstack `.env`).

 ## Development login/testing notes

@@ -111,5 +111,6 @@ P2/P3 backlog is filed on Gitea only (no task briefs yet) — see `docs/issues-m
 - Repo: https://github.com/ginnoir/famapp (HTTPS remote on `origin`).
 - Local dev tooling installed: Node 22+, pnpm 10.33.3.
 - `.env` is **not** committed; copy `.env.example` → `.env` when needed.
+- Assistant relative dates use `HOUSEHOLD_TIMEZONE` (default `America/Chicago` if unset).
 - VS Code recommended extensions in `.vscode/extensions.json`; copy `.vscode/settings.json.example` → `.vscode/settings.json` for the workspace defaults.
 - Memory files (cross-session, only seen by Claude): `C:\Users\MattC\.claude\projects\C--Users-MattC-Documents-famapp\memory\`.
@@ -15,12 +15,16 @@ pnpm release:patch   # or :minor / :major
 # Requires GITHUB_TOKEN in .env
 ```

-Gitea Actions (`release.yml`) then builds and pushes the Docker image to the self-hosted registry:
+Gitea Actions (`.gitea/workflows/release.yml`) builds and pushes the Docker image to the **self-hosted registry** (production source of truth):

 - `registry.ginnoir.com/ginnoir/famapp:v0.x.y`
 - `registry.ginnoir.com/ginnoir/famapp:0.x` (minor alias)
 - `registry.ginnoir.com/ginnoir/famapp:latest`

+GitHub Actions (`.github/workflows/release.yml`) mirrors the same tag to **GHCR** as a temporary backup only — prod must not pull from `ghcr.io`.
+
+Wait for the Gitea Actions run to finish (or confirm the new digest on the registry) before redeploying.
+
 ## Deploying a release

 On the home server, in `/srv/famapp/deploy/`:
@@ -0,0 +1,151 @@
+# Assistant model selector design
+
+Date: 2026-07-08
+Status: approved for planning
+
+## Context
+
+The AI assistant chat currently uses one environment-configured model through `LLM_MODEL`.
+The chat UI posts messages to `/api/agent/chat`, and the server creates the OpenAI-compatible
+client without any request-time model choice.
+
+ginnoir wants a model selector in the assistant chat. The selector should discover available
+models from the configured OpenAI-compatible provider and save the selected model as the user's
+default.
+
+## Goals
+
+- Show a compact model selector in the assistant chat panel.
+- Discover models from the provider's `/models` endpoint server-side.
+- Persist the selected model per user so it works across browser sessions and devices.
+- Keep `LLM_MODEL` as the fallback when discovery fails, no model is saved, or the saved model
+  is no longer available.
+- Preserve mock-provider behavior in CI and local setups without `LLM_BASE_URL`.
+
+## Non-goals
+
+- Model hosting, training, or fine-tuning.
+- Multiple LLM providers in the same deployment.
+- Per-message experimental settings beyond selecting the model ID.
+- Exposing arbitrary browser-supplied model IDs to the provider.
+
+## User experience
+
+When the assistant bubble opens, the chat panel loads available model IDs from the server.
+The selector appears near the existing assistant status and clear-chat controls. It should be
+visible but compact enough not to reduce the message area materially.
+
+Changing the selector immediately saves the user's default model. The next message uses that
+model, and future assistant sessions start with the saved selection when it is still available.
+
+If model discovery fails, the panel remains usable with the `LLM_MODEL` fallback and shows a
+muted status that model discovery is unavailable. If the saved model has disappeared from the
+provider, the server and UI fall back to `LLM_MODEL`.
+
+## Architecture
+
+### Configuration
+
+`getLlmConfig()` remains the source for provider, base URL, API key, and fallback model.
+No additional allowlist environment variable is required because model IDs come from the
+provider's OpenAI-compatible `/models` endpoint.
+
+### Persistence
+
+Add nullable `assistant_model` storage to `users`.
+
+The existing assistant preference loader should return:
+
+- assistant enabled state
+- assistant display name
+- assistant system prompt
+- saved assistant model ID
+
+The value is nullable. `null` means "use the environment fallback model."
+
+### Model discovery API
+
+Add `GET /api/agent/models`.
+
+Behavior:
+
+- Require the same authenticated user/session or API auth shape as the chat endpoint.
+- Require assistant access to be enabled for the user.
+- If `LLM_BASE_URL` is missing or the provider is mock, return the fallback model as the only
+  available model.
+- Fetch `${LLM_BASE_URL}/models` with `Authorization: Bearer ${LLM_API_KEY}` when configured.
+- Accept OpenAI-style payloads with a top-level `data` array.
+- Normalize each model to `{ id: string, label: string }`, using the ID as the label.
+- Deduplicate, sort consistently, and include the fallback model if the provider omitted it.
+- If discovery fails, return the fallback model plus a degraded status instead of failing the
+  chat UI.
+
+The response should include enough metadata for the UI:
+
+```json
+{
+  "models": [{ "id": "llama3.2", "label": "llama3.2" }],
+  "selectedModel": "llama3.2",
+  "fallbackModel": "llama3.2",
+  "degraded": false
+}
+```
+
+### Saving the default model
+
+Add a server action for updating the user's assistant model, matching the existing assistant
+settings actions. The update path must:
+
+- Accept a model ID string or `null`.
+- Validate length and basic shape before touching the database.
+- Validate the requested model against the current discovered model list.
+- Save `null` when the selected model matches the fallback so `LLM_MODEL` changes take effect for
+  users who have not chosen a non-default model.
+- Revalidate assistant surfaces after saving.
+
+### Chat request flow
+
+Extend `clientChatInputSchema` with optional `model`.
+
+The chat route should:
+
+- Parse `model` from the request body.
+- Resolve the effective model from request model, saved user default, and fallback model.
+- Validate request model and saved user default against discovered models.
+- Reject an invalid request model with `400`.
+- Silently fall back when the saved user default is no longer available.
+- Pass the effective model into `runAgentChat`.
+
+`runAgentChat` should accept an optional model override. `createLlmClient` should support an
+override object or equivalent path that replaces only the model while preserving the configured
+provider, base URL, and API key.
+
+## Error handling
+
+- Missing auth: `401`.
+- Assistant disabled: `403`.
+- Invalid posted model: `400`.
+- Provider `/models` failure: return fallback model from the model-discovery API with
+  `degraded: true`; do not block chat startup.
+- LLM completion failure after a valid model is selected: keep the existing chat error behavior.
+
+## Testing
+
+Unit tests:
+
+- Model discovery normalizes OpenAI-compatible `/models` responses.
+- Discovery falls back to `LLM_MODEL` for mock or failed provider states.
+- Chat input schema accepts an optional valid model string and rejects invalid shapes.
+- Chat route rejects a model not returned by discovery.
+- `runAgentChat` passes the effective model override into the LLM client path.
+
+E2E smoke:
+
+- After assistant opt-in, opening the assistant shows the model selector.
+- Sending a message still renders the user message and assistant response with the mock provider.
+
+## Rollout notes
+
+This is additive. Existing deployments without a provider `/models` endpoint continue to use
+`LLM_MODEL`. The database migration is nullable, so existing users keep current behavior until
+they choose a model.
@@ -0,0 +1,2 @@
+ALTER TABLE "users" ADD COLUMN "assistant_name" text DEFAULT 'Assistant' NOT NULL;--> statement-breakpoint
+ALTER TABLE "users" ADD COLUMN "assistant_system_prompt" text;
@@ -0,0 +1 @@
+ALTER TABLE "users" ADD COLUMN "assistant_model" text;
@@ -0,0 +1,5 @@
+ALTER TABLE "users" ADD COLUMN "assistant_model_route" text;--> statement-breakpoint
+UPDATE "users"
+SET "assistant_model_route" = "assistant_model",
+    "assistant_model" = NULL
+WHERE "assistant_model" IN ('auto', 'uncensored');
@@ -169,6 +169,27 @@
      "when": 1780393000000,
      "tag": "0023_comments",
      "breakpoints": true
+    },
+    {
+      "idx": 24,
+      "version": "7",
+      "when": 1780394000000,
+      "tag": "0024_user_assistant_customization",
+      "breakpoints": true
+    },
+    {
+      "idx": 25,
+      "version": "7",
+      "when": 1783560000000,
+      "tag": "0025_assistant_model",
+      "breakpoints": true
+    },
+    {
+      "idx": 26,
+      "version": "7",
+      "when": 1783561000000,
+      "tag": "0026_assistant_model_route",
+      "breakpoints": true
    }
  ]
-}
+}
@@ -8,6 +8,7 @@ export default tseslint.config(
    ignores: [
      "node_modules/**",
      ".next/**",
+      ".worktrees/**",
      ".claude/**",
      ".design-tmp/**",
      "dist/**",
@@ -178,7 +178,14 @@ const nextConfig: NextConfig = {
  output: "standalone",
  // Keep pino and pino-pretty as native Node.js requires so their worker-thread
  // transport and stream internals work correctly inside the standalone bundle.
-  serverExternalPackages: ["pino", "pino-pretty", "drizzle-orm", "postgres"],
+  serverExternalPackages: [
+    "pino",
+    "pino-pretty",
+    "drizzle-orm",
+    "postgres",
+    "isomorphic-dompurify",
+    "jsdom",
+  ],
 };

 export default nextConfig;
@@ -1,6 +1,6 @@
 {
  "name": "famapp",
-  "version": "0.5.6",
+  "version": "0.6.6",
  "private": true,
  "type": "module",
  "packageManager": "pnpm@10.33.3",
@@ -1,35 +1,25 @@
-import { z } from "zod";
 import { apiError, apiJson } from "@/lib/api-handler";
 import { resolveApiAuth } from "@/lib/api-auth";
-import { getAssistantEnabled } from "@/lib/assistant-preference";
+import { getAssistantPreferences, resolveAssistantSystemPrompt } from "@/lib/assistant-preference";
 import { isLlmConfigured } from "@/lib/llm";
+import { listLlmModels, resolveAssistantModel } from "@/lib/llm/models";
+import { clientChatInputSchema } from "@/modules/agent/messages";
 import { encodeSseEvent } from "@/modules/agent/server/progress";
 import { runAgentChat } from "@/modules/agent/server/run";

-const chatInput = z.object({
-  stream: z.boolean().optional(),
-  messages: z
-    .array(
-      z.object({
-        role: z.enum(["user", "assistant"]),
-        content: z.string().trim().min(1).max(8000),
-      }),
-    )
-    .min(1)
-    .max(40),
-});
-
 export async function POST(request: Request) {
  const auth = await resolveApiAuth(request);
  if (!auth?.userId) {
    return apiError("Unauthorized", 401);
  }

-  const assistantEnabled = await getAssistantEnabled(auth.userId);
-  if (!assistantEnabled) {
+  const assistant = await getAssistantPreferences(auth.userId);
+  if (!assistant.enabled) {
    return apiError("Assistant not enabled", 403);
  }

+  const systemPrompt = resolveAssistantSystemPrompt(assistant.systemPrompt);
+
  let body: unknown;
  try {
    body = await request.json();
@@ -37,11 +27,23 @@ export async function POST(request: Request) {
    return apiError("Invalid JSON body", 400);
  }

-  const parsed = chatInput.safeParse(body);
+  const parsed = clientChatInputSchema.safeParse(body);
  if (!parsed.success) {
    return apiError(parsed.error.issues[0]?.message ?? "Validation error", 400);
  }

+  const modelList = await listLlmModels({ route: assistant.modelRoute });
+  const modelResolution = resolveAssistantModel({
+    requestedModel: parsed.data.model,
+    savedModel: assistant.model,
+    fallbackModel: modelList.fallbackModel,
+    models: modelList.models,
+  });
+
+  if (!modelResolution.ok) {
+    return apiError(modelResolution.error, 400);
+  }
+
  if (parsed.data.stream) {
    const stream = new ReadableStream<Uint8Array>({
      async start(controller) {
@@ -54,6 +56,8 @@ export async function POST(request: Request) {
          const result = await runAgentChat({
            messages: parsed.data.messages,
            request,
+            systemPrompt,
+            model: modelResolution.model,
            onProgress: send,
          });

@@ -87,6 +91,8 @@ export async function POST(request: Request) {
    const result = await runAgentChat({
      messages: parsed.data.messages,
      request,
+      systemPrompt,
+      model: modelResolution.model,
    });

    return apiJson({
@@ -0,0 +1,47 @@
+import { apiError, apiJson } from "@/lib/api-handler";
+import { resolveApiAuth } from "@/lib/api-auth";
+import { getAssistantPreferences } from "@/lib/assistant-preference";
+import { isValidAssistantModelRoute, listLlmModels, resolveAssistantModel } from "@/lib/llm/models";
+
+export const dynamic = "force-dynamic";
+
+function noStore(response: Response): Response {
+  response.headers.set("Cache-Control", "no-store");
+  return response;
+}
+
+export async function GET(request: Request) {
+  const auth = await resolveApiAuth(request);
+  if (!auth?.userId) {
+    return noStore(apiError("Unauthorized", 401));
+  }
+
+  const assistant = await getAssistantPreferences(auth.userId);
+  if (!assistant.enabled) {
+    return noStore(apiError("Assistant not enabled", 403));
+  }
+
+  const requestedRoute = new URL(request.url).searchParams.get("route");
+  if (requestedRoute !== null && !isValidAssistantModelRoute(requestedRoute)) {
+    return noStore(apiError("Invalid assistant model route", 400));
+  }
+
+  const modelRoute = requestedRoute ?? assistant.modelRoute;
+  const modelList = await listLlmModels({ route: modelRoute });
+  const resolved = resolveAssistantModel({
+    requestedModel: null,
+    savedModel: requestedRoute === null ? assistant.model : null,
+    fallbackModel: modelList.fallbackModel,
+    models: modelList.models,
+  });
+
+  return noStore(
+    apiJson({
+      models: modelList.models,
+      selectedModel: resolved.model,
+      fallbackModel: modelList.fallbackModel,
+      route: modelList.route,
+      degraded: modelList.degraded,
+    }),
+  );
+}
@@ -0,0 +1,51 @@
+import { apiError, apiJson } from "@/lib/api-handler";
+import { resolveApiAuth } from "@/lib/api-auth";
+import { getAssistantPreferences } from "@/lib/assistant-preference";
+import { transcribeAudioFile } from "@/lib/llm/transcribe";
+
+export const runtime = "nodejs";
+export const maxDuration = 120;
+
+const MAX_AUDIO_BYTES = 25 * 1024 * 1024;
+
+export async function POST(request: Request) {
+  const auth = await resolveApiAuth(request);
+  if (!auth?.userId) {
+    return apiError("Unauthorized", 401);
+  }
+
+  const assistant = await getAssistantPreferences(auth.userId);
+  if (!assistant.enabled) {
+    return apiError("Assistant not enabled", 403);
+  }
+
+  let formData: FormData;
+  try {
+    formData = await request.formData();
+  } catch {
+    return apiError("Invalid multipart body", 400);
+  }
+
+  const file = formData.get("file");
+  if (!(file instanceof File)) {
+    return apiError("No audio file in request", 400);
+  }
+
+  if (!file.type.startsWith("audio/") && file.type !== "video/webm") {
+    return apiError("Only audio recordings are allowed", 415);
+  }
+
+  if (file.size > MAX_AUDIO_BYTES) {
+    return apiError("Recording exceeds 25 MB limit", 413);
+  }
+
+  const filename = file.name.trim() || "recording.wav";
+
+  try {
+    const text = await transcribeAudioFile(file, filename);
+    return apiJson({ text });
+  } catch (err) {
+    const message = err instanceof Error ? err.message : "Transcription failed";
+    return apiError(message, 502);
+  }
+}
@@ -33,7 +33,9 @@ export async function POST(request: Request) {
  }

  const url = new URL(request.url);
-  const scope = url.searchParams.get("scope") === "notes" ? "notes" : "garden";
+  const scopeParam = url.searchParams.get("scope");
+  const scope =
+    scopeParam === "notes" ? "notes" : scopeParam === "assistant" ? "assistant" : "garden";

  if (!file.type.startsWith("image/")) {
    return NextResponse.json({ error: "Only image files are allowed" }, { status: 415 });
@@ -18,6 +18,7 @@ import { InstallPrompt } from "@/components/install-prompt";
 import { AppShell } from "@/components/app-shell";
 import { AppToaster } from "@/components/app-toaster";
 import { AssistantBubble } from "@/modules/agent/components/assistant-bubble";
+import { DEFAULT_ASSISTANT_NAME } from "@/lib/assistant-config";
 import { isLlmConfigured } from "@/lib/llm";
 import { DEFAULT_THEME, navStyleToDataNav } from "@/modules/_core/themes";
 import type { Palette, ThemeMode, FontPair, Density, NavStyle } from "@/modules/_core/themes";
@@ -102,6 +103,8 @@ export default async function RootLayout({ children }: { children: React.ReactNo
  let userDashboards: DashboardMeta[] = [];
  let signedIn = false;
  let assistantEnabled = false;
+  let assistantName = DEFAULT_ASSISTANT_NAME;
+  let assistantModel: string | null = null;

  const session = await auth();
  if (session?.user?.id) {
@@ -114,6 +117,8 @@ export default async function RootLayout({ children }: { children: React.ReactNo
        themeDensity: users.themeDensity,
        themeNavStyle: users.themeNavStyle,
        assistantEnabled: users.assistantEnabled,
+        assistantName: users.assistantName,
+        assistantModel: users.assistantModel,
      })
      .from(users)
      .where(eq(users.id, session.user.id))
@@ -125,6 +130,8 @@ export default async function RootLayout({ children }: { children: React.ReactNo
      density = row.themeDensity as Density;
      navStyle = row.themeNavStyle as NavStyle;
      assistantEnabled = row.assistantEnabled;
+      assistantName = row.assistantName?.trim() || DEFAULT_ASSISTANT_NAME;
+      assistantModel = row.assistantModel?.trim() || null;
    }
    userDashboards = await db
      .select({
@@ -178,7 +185,12 @@ export default async function RootLayout({ children }: { children: React.ReactNo
          <InstallPrompt />
          <PwaRegister />
          {signedIn && assistantEnabled && session?.user?.id ? (
-            <AssistantBubble configured={isLlmConfigured()} userId={session.user.id} />
+            <AssistantBubble
+              configured={isLlmConfigured()}
+              userId={session.user.id}
+              assistantName={assistantName}
+              assistantModel={assistantModel}
+            />
          ) : null}
          <AppToaster position="bottom-right" />
        </QuickAddProvider>
@@ -2,13 +2,98 @@

 import { eq } from "drizzle-orm";
 import { revalidatePath } from "next/cache";
+import { z } from "zod";
 import { db } from "@/lib/db";
+import {
+  DEFAULT_ASSISTANT_NAME,
+  MAX_ASSISTANT_NAME_LENGTH,
+  MAX_ASSISTANT_SYSTEM_PROMPT_LENGTH,
+} from "@/lib/assistant-config";
+import {
+  isValidAssistantModelRoute,
+  isValidLlmModelId,
+  listLlmModels,
+  type AssistantModelRoute,
+} from "@/lib/llm/models";
 import { users } from "@/modules/_core/schema";
 import { getCurrentSession } from "@/lib/session";
+import { getAssistantPreferences } from "@/lib/assistant-preference";
+
+const assistantNameSchema = z
+  .string()
+  .trim()
+  .min(1, "Name is required")
+  .max(MAX_ASSISTANT_NAME_LENGTH);
+
+const assistantSystemPromptSchema = z
+  .string()
+  .trim()
+  .min(1, "Prompt cannot be empty")
+  .max(MAX_ASSISTANT_SYSTEM_PROMPT_LENGTH);
+
+function revalidateAssistantSurfaces() {
+  revalidatePath("/settings");
+  revalidatePath("/", "layout");
+}

 export async function setAssistantEnabled(enabled: boolean): Promise<void> {
  const { user } = await getCurrentSession();
  await db.update(users).set({ assistantEnabled: enabled }).where(eq(users.id, user.id));
-  revalidatePath("/settings");
-  revalidatePath("/", "layout");
+  revalidateAssistantSurfaces();
+}
+
+export async function setAssistantName(name: string): Promise<void> {
+  const parsed = assistantNameSchema.parse(name);
+  const { user } = await getCurrentSession();
+  await db.update(users).set({ assistantName: parsed }).where(eq(users.id, user.id));
+  revalidateAssistantSurfaces();
+}
+
+export async function setAssistantSystemPrompt(prompt: string | null): Promise<void> {
+  const { user } = await getCurrentSession();
+  const normalized = prompt === null ? null : assistantSystemPromptSchema.parse(prompt);
+
+  await db.update(users).set({ assistantSystemPrompt: normalized }).where(eq(users.id, user.id));
+  revalidateAssistantSurfaces();
+}
+
+export async function setAssistantModelRoute(route: AssistantModelRoute): Promise<void> {
+  if (!isValidAssistantModelRoute(route)) {
+    throw new Error("Invalid assistant model route");
+  }
+
+  const { user } = await getCurrentSession();
+  await db
+    .update(users)
+    .set({ assistantModelRoute: route, assistantModel: null })
+    .where(eq(users.id, user.id));
+  revalidateAssistantSurfaces();
+}
+
+export async function setAssistantModel(model: string | null): Promise<void> {
+  const { user } = await getCurrentSession();
+  const normalized = model?.trim() || null;
+
+  if (normalized !== null && !isValidLlmModelId(normalized)) {
+    throw new Error("Invalid assistant model");
+  }
+
+  const assistant = await getAssistantPreferences(user.id);
+  const available = await listLlmModels({ route: assistant.modelRoute });
+  const requested = normalized === available.fallbackModel ? null : normalized;
+
+  if (requested !== null && !available.models.some((option) => option.id === requested)) {
+    throw new Error("Invalid assistant model");
+  }
+
+  await db.update(users).set({ assistantModel: requested }).where(eq(users.id, user.id));
+  revalidateAssistantSurfaces();
+}
+
+export async function resetAssistantName(): Promise<void> {
+  await setAssistantName(DEFAULT_ASSISTANT_NAME);
+}
+
+export async function resetAssistantSystemPrompt(): Promise<void> {
+  await setAssistantSystemPrompt(null);
 }
@@ -13,7 +13,8 @@ import { AvatarFallbackWithName } from "@/components/avatar-fallback";
 import { revokeShareLinkAction } from "./actions";
 import { getHouseholdApiTokenStatus } from "@/modules/_core/api-token";
 import { ApiTokenSettings } from "@/components/api-token-settings";
-import { AssistantOptIn } from "@/components/assistant-opt-in";
+import { AssistantSettings } from "@/components/assistant-settings";
+import { AGENT_SYSTEM_PROMPT } from "@/modules/agent/tools";
 import { DefaultEventRemindersSetting } from "@/components/default-event-reminders-setting";
 import { listCalendars } from "@/modules/calendar/server/queries";
 import { listLists } from "@/modules/lists/server/queries";
@@ -322,6 +323,9 @@ function AppearanceSection({
    themeCalView: string;
    themeNavStyle: string;
    assistantEnabled: boolean;
+    assistantName: string;
+    assistantModelRoute: string | null;
+    assistantSystemPrompt: string | null;
  };
 }) {
  return (
@@ -355,7 +359,13 @@ function AppearanceSection({
          <MessageCircle className="size-4 text-[var(--ink-mute)]" />
        </CardHeader>
        <CardContent>
-          <AssistantOptIn enabled={user.assistantEnabled} />
+          <AssistantSettings
+            enabled={user.assistantEnabled}
+            name={user.assistantName}
+            modelRoute={user.assistantModelRoute}
+            systemPrompt={user.assistantSystemPrompt}
+            defaultSystemPrompt={AGENT_SYSTEM_PROMPT}
+          />
        </CardContent>
      </Card>
    </>
@@ -1,35 +0,0 @@
-"use client";
-
-import { useRouter } from "next/navigation";
-import { useTransition } from "react";
-import { setAssistantEnabled } from "@/app/settings/assistant-actions";
-import { Switch } from "@/components/ui/switch";
-
-export function AssistantOptIn({ enabled }: { enabled: boolean }) {
-  const [isPending, startTransition] = useTransition();
-  const router = useRouter();
-
-  function toggle(next: boolean) {
-    startTransition(async () => {
-      await setAssistantEnabled(next);
-      router.refresh();
-    });
-  }
-
-  return (
-    <label className="flex items-center justify-between gap-4">
-      <div className="min-w-0">
-        <div className="text-sm font-medium">AI assistant</div>
-        <p className="muted text-[12px] mt-0.5">
-          Off by default. Turn on to show a chat bubble in the bottom-right corner.
-        </p>
-      </div>
-      <Switch
-        checked={enabled}
-        disabled={isPending}
-        onCheckedChange={toggle}
-        aria-label="AI assistant"
-      />
-    </label>
-  );
-}
@@ -0,0 +1,234 @@
+"use client";
+
+import { useRouter } from "next/navigation";
+import { useState, useTransition } from "react";
+import {
+  resetAssistantName,
+  resetAssistantSystemPrompt,
+  setAssistantEnabled,
+  setAssistantName,
+  setAssistantModelRoute,
+  setAssistantSystemPrompt,
+} from "@/app/settings/assistant-actions";
+import { DEFAULT_ASSISTANT_NAME, MAX_ASSISTANT_NAME_LENGTH } from "@/lib/assistant-config";
+import type { AssistantModelRoute } from "@/lib/llm/models";
+import { Button } from "@/components/ui/button";
+import { Input } from "@/components/ui/input";
+import { Switch } from "@/components/ui/switch";
+
+type Props = {
+  enabled: boolean;
+  name: string;
+  modelRoute: string | null;
+  systemPrompt: string | null;
+  defaultSystemPrompt: string;
+};
+
+function normalizeAssistantModelRoute(value: string | null): AssistantModelRoute {
+  return value === "uncensored" ? "uncensored" : "auto";
+}
+
+export function AssistantSettings({
+  enabled,
+  name,
+  modelRoute,
+  systemPrompt,
+  defaultSystemPrompt,
+}: Props) {
+  const [isPending, startTransition] = useTransition();
+  const router = useRouter();
+
+  const effectivePrompt = systemPrompt ?? defaultSystemPrompt;
+  const [selectedRoute, setSelectedRoute] = useState<AssistantModelRoute>(() =>
+    normalizeAssistantModelRoute(modelRoute),
+  );
+  const [savedName, setSavedName] = useState(name);
+  const [draftName, setDraftName] = useState(name);
+  const [savedPrompt, setSavedPrompt] = useState(systemPrompt);
+  const [draftPrompt, setDraftPrompt] = useState(effectivePrompt);
+
+  const nameDirty = draftName.trim() !== savedName;
+  const promptDirty =
+    savedPrompt === null
+      ? draftPrompt.trim() !== defaultSystemPrompt.trim()
+      : draftPrompt.trim() !== savedPrompt.trim();
+  const usingDefaultPrompt = savedPrompt === null;
+
+  function toggle(next: boolean) {
+    startTransition(async () => {
+      await setAssistantEnabled(next);
+      router.refresh();
+    });
+  }
+
+  function changeModelRoute(nextRoute: string) {
+    const route = normalizeAssistantModelRoute(nextRoute);
+    setSelectedRoute(route);
+
+    startTransition(async () => {
+      await setAssistantModelRoute(route);
+      router.refresh();
+    });
+  }
+
+  function saveName() {
+    const next = draftName.trim();
+    if (!next) return;
+
+    startTransition(async () => {
+      await setAssistantName(next);
+      setSavedName(next);
+      setDraftName(next);
+      router.refresh();
+    });
+  }
+
+  function savePrompt() {
+    const next = draftPrompt.trim();
+    if (!next) return;
+
+    startTransition(async () => {
+      const isDefault = next === defaultSystemPrompt.trim();
+      await setAssistantSystemPrompt(isDefault ? null : next);
+      setSavedPrompt(isDefault ? null : next);
+      setDraftPrompt(next);
+      router.refresh();
+    });
+  }
+
+  function handleResetName() {
+    startTransition(async () => {
+      await resetAssistantName();
+      setSavedName(DEFAULT_ASSISTANT_NAME);
+      setDraftName(DEFAULT_ASSISTANT_NAME);
+      router.refresh();
+    });
+  }
+
+  function handleResetPrompt() {
+    startTransition(async () => {
+      await resetAssistantSystemPrompt();
+      setSavedPrompt(null);
+      setDraftPrompt(defaultSystemPrompt);
+      router.refresh();
+    });
+  }
+
+  return (
+    <div className="flex flex-col gap-5">
+      <label className="flex items-center justify-between gap-4">
+        <div className="min-w-0">
+          <div className="text-sm font-medium">AI assistant</div>
+          <p className="muted text-[12px] mt-0.5">
+            Off by default. Turn on to show a chat bubble in the bottom-right corner.
+          </p>
+        </div>
+        <Switch
+          checked={enabled}
+          disabled={isPending}
+          onCheckedChange={toggle}
+          aria-label="AI assistant"
+        />
+      </label>
+
+      <div className="flex flex-col gap-2">
+        <div className="min-w-0">
+          <label htmlFor="assistant-model-route" className="text-sm font-medium">
+            Model route
+          </label>
+          <p className="muted text-[12px] mt-0.5">
+            Choose the default router family for your assistant. Individual models can still be
+            picked from the chat panel.
+          </p>
+        </div>
+        <select
+          id="assistant-model-route"
+          aria-label="Assistant model route"
+          value={selectedRoute}
+          disabled={isPending}
+          onChange={(event) => changeModelRoute(event.target.value)}
+          className="input h-10"
+        >
+          <option value="auto">Auto</option>
+          <option value="uncensored">Uncensored</option>
+        </select>
+      </div>
+
+      <div className="flex flex-col gap-2">
+        <div className="flex items-end justify-between gap-3">
+          <div className="min-w-0 flex-1">
+            <label htmlFor="assistant-name" className="text-sm font-medium">
+              Assistant name
+            </label>
+            <p className="muted text-[12px] mt-0.5">Shown in the chat bubble and message labels.</p>
+          </div>
+          <Button
+            type="button"
+            variant="ghost"
+            size="sm"
+            disabled={isPending || savedName === DEFAULT_ASSISTANT_NAME}
+            onClick={handleResetName}
+          >
+            Reset
+          </Button>
+        </div>
+        <Input
+          id="assistant-name"
+          value={draftName}
+          maxLength={MAX_ASSISTANT_NAME_LENGTH}
+          disabled={isPending}
+          onChange={(event) => setDraftName(event.target.value)}
+          aria-label="Assistant name"
+        />
+        <Button
+          type="button"
+          size="sm"
+          disabled={!nameDirty || isPending || !draftName.trim()}
+          onClick={saveName}
+        >
+          {isPending ? "Saving…" : "Save name"}
+        </Button>
+      </div>
+
+      <div className="flex flex-col gap-2">
+        <div className="flex items-end justify-between gap-3">
+          <div className="min-w-0 flex-1">
+            <label htmlFor="assistant-system-prompt" className="text-sm font-medium">
+              System prompt
+            </label>
+            <p className="muted text-[12px] mt-0.5">
+              Instructions sent to the model before each conversation. Customize tone, priorities,
+              or household context.
+            </p>
+          </div>
+          <Button
+            type="button"
+            variant="ghost"
+            size="sm"
+            disabled={isPending || usingDefaultPrompt}
+            onClick={handleResetPrompt}
+          >
+            Reset
+          </Button>
+        </div>
+        <textarea
+          id="assistant-system-prompt"
+          value={draftPrompt}
+          rows={10}
+          disabled={isPending}
+          onChange={(event) => setDraftPrompt(event.target.value)}
+          aria-label="Assistant system prompt"
+          className="input min-h-[180px] resize-y font-mono text-[12px] leading-relaxed"
+        />
+        <Button
+          type="button"
+          size="sm"
+          disabled={!promptDirty || isPending || !draftPrompt.trim()}
+          onClick={savePrompt}
+        >
+          {isPending ? "Saving…" : "Save prompt"}
+        </Button>
+      </div>
+    </div>
+  );
+}
@@ -0,0 +1,10 @@
+import { AGENT_SYSTEM_PROMPT } from "@/modules/agent/tools";
+
+export const DEFAULT_ASSISTANT_NAME = "Assistant";
+export const MAX_ASSISTANT_NAME_LENGTH = 40;
+export const MAX_ASSISTANT_SYSTEM_PROMPT_LENGTH = 8000;
+
+export function resolveAssistantSystemPrompt(customPrompt: string | null | undefined): string {
+  const trimmed = customPrompt?.trim();
+  return trimmed ? trimmed : AGENT_SYSTEM_PROMPT;
+}
@@ -1,13 +1,50 @@
 import { eq } from "drizzle-orm";
 import { db } from "@/lib/db";
+import { DEFAULT_ASSISTANT_NAME } from "@/lib/assistant-config";
+import { isValidAssistantModelRoute, type AssistantModelRoute } from "@/lib/llm/models";
 import { users } from "@/modules/_core/schema";

-export async function getAssistantEnabled(userId: string): Promise<boolean> {
+export {
+  DEFAULT_ASSISTANT_NAME,
+  MAX_ASSISTANT_NAME_LENGTH,
+  MAX_ASSISTANT_SYSTEM_PROMPT_LENGTH,
+  resolveAssistantSystemPrompt,
+} from "@/lib/assistant-config";
+
+export type AssistantPreferences = {
+  enabled: boolean;
+  name: string;
+  systemPrompt: string | null;
+  modelRoute: AssistantModelRoute | null;
+  model: string | null;
+};
+
+export async function getAssistantPreferences(userId: string): Promise<AssistantPreferences> {
  const [row] = await db
-    .select({ assistantEnabled: users.assistantEnabled })
+    .select({
+      assistantEnabled: users.assistantEnabled,
+      assistantName: users.assistantName,
+      assistantSystemPrompt: users.assistantSystemPrompt,
+      assistantModelRoute: users.assistantModelRoute,
+      assistantModel: users.assistantModel,
+    })
    .from(users)
    .where(eq(users.id, userId))
    .limit(1);

-  return row?.assistantEnabled ?? false;
+  return {
+    enabled: row?.assistantEnabled ?? false,
+    name: row?.assistantName?.trim() || DEFAULT_ASSISTANT_NAME,
+    systemPrompt: row?.assistantSystemPrompt ?? null,
+    modelRoute:
+      row?.assistantModelRoute && isValidAssistantModelRoute(row.assistantModelRoute)
+        ? row.assistantModelRoute
+        : null,
+    model: row?.assistantModel?.trim() || null,
+  };
+}
+
+export async function getAssistantEnabled(userId: string): Promise<boolean> {
+  const prefs = await getAssistantPreferences(userId);
+  return prefs.enabled;
 }
@@ -0,0 +1,28 @@
+import type { ChatContentPart, ChatMessage } from "./types";
+
+export function textFromMessageContent(content: ChatMessage["content"]): string {
+  if (!content) return "";
+  if (typeof content === "string") return content;
+  return content
+    .filter((part): part is Extract<ChatContentPart, { type: "text" }> => part.type === "text")
+    .map((part) => part.text)
+    .join("\n")
+    .trim();
+}
+
+export function buildVisionContentParts(text: string, imageDataUrls: string[]): ChatContentPart[] {
+  const parts: ChatContentPart[] = [];
+  const trimmed = text.trim();
+  if (trimmed) {
+    parts.push({ type: "text", text: trimmed });
+  } else if (imageDataUrls.length > 0) {
+    parts.push({
+      type: "text",
+      text: "Read this image and help with what the user needs.",
+    });
+  }
+  for (const url of imageDataUrls) {
+    parts.push({ type: "image_url", image_url: { url } });
+  }
+  return parts;
+}
@@ -13,8 +13,8 @@ export type {
 export { getLlmConfig, isLlmConfigured } from "./config";
 export { createMockLlmClient } from "./mock";

-export function createLlmClient(override?: LlmClient): LlmClient {
-  if (override) return override;
+export function createLlmClient(options?: { model?: string; override?: LlmClient }): LlmClient {
+  if (options?.override) return options.override;

  const config = getLlmConfig();
  if (config.provider === "mock" || !config.baseUrl) {
@@ -24,6 +24,6 @@ export function createLlmClient(override?: LlmClient): LlmClient {
  return createOpenAiCompatibleClient({
    baseUrl: config.baseUrl,
    apiKey: config.apiKey,
-    model: config.model,
+    model: options?.model ?? config.model,
  });
 }
@@ -1,14 +1,5 @@
 import type { ChatCompletionRequest, ChatCompletionResult, LlmClient } from "./types";
-
-function lastUserText(messages: ChatCompletionRequest["messages"]): string {
-  for (let i = messages.length - 1; i >= 0; i -= 1) {
-    const message = messages[i];
-    if (message?.role === "user" && message.content) {
-      return message.content.toLowerCase();
-    }
-  }
-  return "";
-}
+import { textFromMessageContent } from "./content";

 function hadToolResults(messages: ChatCompletionRequest["messages"]): boolean {
  return messages.some((message) => message.role === "tool");
@@ -17,7 +8,9 @@ function hadToolResults(messages: ChatCompletionRequest["messages"]): boolean {
 export function createMockLlmClient(): LlmClient {
  return {
    async chatCompletion(request: ChatCompletionRequest): Promise<ChatCompletionResult> {
-      const userText = lastUserText(request.messages);
+      const userText = textFromMessageContent(
+        [...request.messages].reverse().find((message) => message.role === "user")?.content ?? "",
+      ).toLowerCase();

      if (hadToolResults(request.messages)) {
        return {
@@ -0,0 +1,148 @@
+import { getLlmConfig, type LlmConfig } from "./config";
+
+export type LlmModelOption = {
+  id: string;
+  label: string;
+};
+
+export const ASSISTANT_MODEL_ROUTES = ["auto", "uncensored"] as const;
+
+export type AssistantModelRoute = (typeof ASSISTANT_MODEL_ROUTES)[number];
+
+export type LlmModelsResult = {
+  models: LlmModelOption[];
+  fallbackModel: string;
+  route: AssistantModelRoute;
+  degraded: boolean;
+};
+
+export type AssistantModelResolution =
+  | { ok: true; model: string }
+  | { ok: false; model: string; error: string };
+
+const MODEL_ID_PATTERN = /^[A-Za-z0-9._:/-]+$/;
+const MAX_MODEL_ID_LENGTH = 128;
+
+export function isValidLlmModelId(value: string): boolean {
+  const trimmed = value.trim();
+  return (
+    trimmed.length > 0 &&
+    trimmed.length <= MAX_MODEL_ID_LENGTH &&
+    trimmed === value &&
+    MODEL_ID_PATTERN.test(trimmed)
+  );
+}
+
+export function isValidAssistantModelRoute(value: string): value is AssistantModelRoute {
+  return ASSISTANT_MODEL_ROUTES.some((route) => route === value);
+}
+
+function resolveModelRoute(
+  route: AssistantModelRoute | null | undefined,
+  config: LlmConfig,
+): { route: AssistantModelRoute; fallbackModel: string } {
+  if (route) {
+    return { route, fallbackModel: route };
+  }
+
+  const defaultRoute: AssistantModelRoute = config.model === "uncensored" ? "uncensored" : "auto";
+  return { route: defaultRoute, fallbackModel: config.model };
+}
+
+export function normalizeLlmModelsPayload(payload: unknown): LlmModelOption[] {
+  const data =
+    typeof payload === "object" && payload !== null && "data" in payload
+      ? (payload as { data?: unknown }).data
+      : null;
+
+  if (!Array.isArray(data)) return [];
+
+  const ids = new Set<string>();
+  for (const row of data) {
+    if (typeof row !== "object" || row === null || !("id" in row)) continue;
+    const id = (row as { id?: unknown }).id;
+    if (typeof id !== "string") continue;
+    if (!isValidLlmModelId(id)) continue;
+    ids.add(id);
+  }
+
+  return [...ids].sort((a, b) => a.localeCompare(b)).map((id) => ({ id, label: id }));
+}
+
+export async function listLlmModels(options?: {
+  config?: LlmConfig;
+  fetchImpl?: typeof fetch;
+  route?: AssistantModelRoute | null;
+}): Promise<LlmModelsResult> {
+  const config = options?.config ?? getLlmConfig();
+  const fetchImpl = options?.fetchImpl ?? fetch;
+  const { route, fallbackModel } = resolveModelRoute(options?.route, config);
+  const fallbackOption = { id: fallbackModel, label: fallbackModel };
+
+  if (config.provider === "mock" || !config.baseUrl) {
+    return { models: [fallbackOption], fallbackModel, route, degraded: false };
+  }
+
+  try {
+    const headers: Record<string, string> = {};
+    if (config.apiKey) headers.Authorization = `Bearer ${config.apiKey}`;
+
+    const modelsUrl = new URL(`${config.baseUrl.replace(/\/$/, "")}/models`);
+    if (route === "uncensored") {
+      modelsUrl.searchParams.set("type", "uncensored");
+    }
+
+    const response = await fetchImpl(modelsUrl, {
+      method: "GET",
+      headers,
+    });
+
+    if (!response.ok) {
+      return { models: [fallbackOption], fallbackModel, route, degraded: true };
+    }
+
+    const models = normalizeLlmModelsPayload(await response.json());
+
+    if (models.length === 0) {
+      return { models: [fallbackOption], fallbackModel, route, degraded: true };
+    }
+
+    if (!models.some((model) => model.id === fallbackModel)) {
+      return { models: [fallbackOption], fallbackModel, route, degraded: false };
+    }
+
+    return {
+      models,
+      fallbackModel,
+      route,
+      degraded: false,
+    };
+  } catch {
+    return { models: [fallbackOption], fallbackModel, route, degraded: true };
+  }
+}
+
+export function resolveAssistantModel(options: {
+  requestedModel: string | null | undefined;
+  savedModel: string | null | undefined;
+  fallbackModel: string;
+  models: LlmModelOption[];
+}): AssistantModelResolution {
+  const available = new Set(options.models.map((model) => model.id));
+  const fallback = available.has(options.fallbackModel)
+    ? options.fallbackModel
+    : (options.models[0]?.id ?? options.fallbackModel);
+
+  if (options.requestedModel !== null && options.requestedModel !== undefined) {
+    if (!isValidLlmModelId(options.requestedModel) || !available.has(options.requestedModel)) {
+      return { ok: false, model: fallback, error: "Invalid assistant model" };
+    }
+    return { ok: true, model: options.requestedModel };
+  }
+
+  if (options.savedModel && available.has(options.savedModel)) {
+    return { ok: true, model: options.savedModel };
+  }
+
+  return { ok: true, model: fallback };
+}
@@ -1,8 +1,8 @@
-import type { ChatCompletionRequest, ChatCompletionResult, LlmClient } from "./types";
+import type { ChatCompletionRequest, ChatCompletionResult, ChatMessage, LlmClient } from "./types";

 type OpenAiMessage = {
  role: string;
-  content: string | null;
+  content: ChatMessage["content"];
  tool_calls?: Array<{
    id: string;
    type: "function";
@@ -0,0 +1,47 @@
+import { getLlmConfig } from "./config";
+
+const MAX_AUDIO_BYTES = 25 * 1024 * 1024;
+
+export async function transcribeAudioFile(file: File | Blob, filename: string): Promise<string> {
+  if (file.size > MAX_AUDIO_BYTES) {
+    throw new Error("Recording exceeds 25 MB limit");
+  }
+
+  const config = getLlmConfig();
+  if (config.provider === "mock" || !config.baseUrl) {
+    return "add milk to the shopping list";
+  }
+
+  const formData = new FormData();
+  formData.append("file", file, filename);
+  formData.append("model", "whisper-1");
+
+  const url = `${config.baseUrl.replace(/\/$/, "")}/audio/transcriptions`;
+  const headers: Record<string, string> = {};
+  if (config.apiKey) {
+    headers.Authorization = `Bearer ${config.apiKey}`;
+  }
+
+  const response = await fetch(url, {
+    method: "POST",
+    headers,
+    body: formData,
+  });
+
+  if (!response.ok) {
+    const detail = await response.text();
+    throw new Error(`Transcription failed (${response.status}): ${detail.slice(0, 400)}`);
+  }
+
+  const contentType = response.headers.get("content-type") ?? "";
+  if (contentType.includes("application/json")) {
+    const payload = (await response.json()) as { text?: string };
+    const text = payload.text?.trim();
+    if (!text) throw new Error("Transcription returned empty text");
+    return text;
+  }
+
+  const text = (await response.text()).trim();
+  if (!text) throw new Error("Transcription returned empty text");
+  return text;
+}
@@ -1,5 +1,19 @@
 export type ChatRole = "system" | "user" | "assistant" | "tool";

+export type ChatTextPart = {
+  type: "text";
+  text: string;
+};
+
+export type ChatImagePart = {
+  type: "image_url";
+  image_url: {
+    url: string;
+  };
+};
+
+export type ChatContentPart = ChatTextPart | ChatImagePart;
+
 export type ChatToolCall = {
  id: string;
  type: "function";
@@ -11,7 +25,7 @@ export type ChatToolCall = {

 export type ChatMessage = {
  role: ChatRole;
-  content: string | null;
+  content: string | ChatContentPart[] | null;
  tool_calls?: ChatToolCall[];
  tool_call_id?: string;
  name?: string;
@@ -36,6 +36,10 @@ export const users = pgTable("users", {
  notifInApp: boolean("notif_inapp").notNull().default(true),
  notifNtfy: boolean("notif_ntfy").notNull().default(false),
  assistantEnabled: boolean("assistant_enabled").notNull().default(false),
+  assistantName: text("assistant_name").notNull().default("Assistant"),
+  assistantSystemPrompt: text("assistant_system_prompt"),
+  assistantModelRoute: text("assistant_model_route"),
+  assistantModel: text("assistant_model"),
  defaultEventReminderOffsets: jsonb("default_event_reminder_offsets")
    .notNull()
    .$type<number[]>()
@@ -1,9 +1,13 @@
+import type { ClientChatMessage } from "./messages";
+
 export type AssistantChatMessage = {
  role: "user" | "assistant";
  content: string;
+  imageUrl?: string;
+  toolCalls?: Array<{ name: string; status: number }>;
 };

-const STORAGE_VERSION = "v1";
+const STORAGE_VERSION = "v2";
 const MAX_MESSAGES = 40;

 function storageKey(userId: string) {
@@ -13,11 +17,30 @@ function storageKey(userId: string) {
 function isValidMessage(value: unknown): value is AssistantChatMessage {
  if (!value || typeof value !== "object") return false;
  const row = value as Record<string, unknown>;
-  return (
-    (row.role === "user" || row.role === "assistant") &&
-    typeof row.content === "string" &&
-    row.content.trim().length > 0
-  );
+  if (row.role !== "user" && row.role !== "assistant") return false;
+  if (typeof row.content !== "string" || row.content.trim().length === 0) return false;
+  if (row.imageUrl !== undefined && typeof row.imageUrl !== "string") return false;
+  if (row.toolCalls !== undefined) {
+    if (!Array.isArray(row.toolCalls)) return false;
+    for (const call of row.toolCalls) {
+      if (!call || typeof call !== "object") return false;
+      const entry = call as Record<string, unknown>;
+      if (typeof entry.name !== "string" || typeof entry.status !== "number") return false;
+    }
+  }
+  return true;
+}
+
+export function toClientChatMessage(message: AssistantChatMessage): ClientChatMessage {
+  if (!message.imageUrl) {
+    return { role: message.role, content: message.content };
+  }
+
+  return {
+    role: message.role,
+    content: message.content,
+    attachments: [{ type: "image", url: message.imageUrl }],
+  };
 }

 export function loadAssistantChat(userId: string): AssistantChatMessage[] {
@@ -7,9 +7,11 @@ import { AssistantPanel } from "./assistant-panel";
 type Props = {
  configured: boolean;
  userId: string;
+  assistantName: string;
+  assistantModel: string | null;
 };

-export function AssistantBubble({ configured, userId }: Props) {
+export function AssistantBubble({ configured, userId, assistantName, assistantModel }: Props) {
  const [open, setOpen] = useState(false);

  return (
@@ -18,31 +20,37 @@ export function AssistantBubble({ configured, userId }: Props) {
        <div
          className="assistant-bubble-panel"
          role="dialog"
-          aria-label="Assistant"
+          aria-label={assistantName}
          aria-modal="false"
        >
          <div className="assistant-bubble-header">
            <div>
-              <div className="serif text-[15px] font-medium tracking-tight">Assistant</div>
+              <div className="serif text-[15px] font-medium tracking-tight">{assistantName}</div>
              <div className="muted text-[11px]">Household helper</div>
            </div>
            <button
              type="button"
              className="assistant-bubble-close"
-              aria-label="Close assistant"
+              aria-label={`Close ${assistantName}`}
              onClick={() => setOpen(false)}
            >
              <X className="size-4" />
            </button>
          </div>
-          <AssistantPanel key={userId} configured={configured} userId={userId} />
+          <AssistantPanel
+            key={userId}
+            configured={configured}
+            userId={userId}
+            assistantName={assistantName}
+            assistantModel={assistantModel}
+          />
        </div>
      ) : null}

      <button
        type="button"
        className="assistant-bubble-trigger"
-        aria-label={open ? "Close assistant" : "Open assistant"}
+        aria-label={open ? `Close ${assistantName}` : `Open ${assistantName}`}
        aria-expanded={open}
        onClick={() => setOpen((current) => !current)}
      >
@@ -1,7 +1,8 @@
 "use client";

-import { useEffect, useRef, useState } from "react";
-import { Loader2, Send } from "lucide-react";
+import { useCallback, useEffect, useRef, useState, useTransition } from "react";
+import { ChevronDown, ImagePlus, Loader2, Mic, RefreshCw, Send, Square } from "lucide-react";
+import { setAssistantModel } from "@/app/settings/assistant-actions";
 import { Button } from "@/components/ui/button";
 import { Input } from "@/components/ui/input";
 import { consumeAgentChatStream } from "../assistant-chat-stream";
@@ -9,22 +10,72 @@ import {
  clearAssistantChat,
  loadAssistantChat,
  saveAssistantChat,
+  toClientChatMessage,
  type AssistantChatMessage,
 } from "../assistant-chat-storage";
+import { useVoiceInput } from "./use-voice-input";

 type Props = {
  configured: boolean;
  userId: string;
+  assistantName: string;
+  assistantModel: string | null;
 };

-export function AssistantPanel({ configured, userId }: Props) {
+type PendingImage = {
+  url: string;
+};
+
+type LlmModelOption = {
+  id: string;
+  label: string;
+};
+
+type ModelsResponse = {
+  models: LlmModelOption[];
+  selectedModel: string;
+  fallbackModel: string;
+  degraded: boolean;
+};
+
+async function uploadAssistantImage(file: File): Promise<string> {
+  const formData = new FormData();
+  formData.append("file", file);
+  const response = await fetch("/api/uploads?scope=assistant", { method: "POST", body: formData });
+  if (!response.ok) {
+    const payload = (await response.json().catch(() => null)) as { error?: string } | null;
+    throw new Error(payload?.error ?? "Image upload failed");
+  }
+  const payload = (await response.json()) as { url: string };
+  return payload.url;
+}
+
+export function AssistantPanel({ configured, userId, assistantName, assistantModel }: Props) {
  const [messages, setMessages] = useState<AssistantChatMessage[]>(() => loadAssistantChat(userId));
  const [input, setInput] = useState("");
+  const [pendingImage, setPendingImage] = useState<PendingImage | null>(null);
+  const [uploadingImage, setUploadingImage] = useState(false);
  const [error, setError] = useState<string | null>(null);
  const [isPending, setIsPending] = useState(false);
  const [activityLabel, setActivityLabel] = useState<string | null>(null);
+  const [modelOptions, setModelOptions] = useState<LlmModelOption[]>([]);
+  const [selectedModel, setSelectedModel] = useState(assistantModel ?? "");
+  const [fallbackModel, setFallbackModel] = useState("");
+  const [modelsDegraded, setModelsDegraded] = useState(false);
+  const [modelsLoading, setModelsLoading] = useState(true);
+  const [savingModel, startTransition] = useTransition();
  const listRef = useRef<HTMLDivElement>(null);
  const abortRef = useRef<AbortController | null>(null);
+  const imageInputRef = useRef<HTMLInputElement>(null);
+
+  const { state: voiceState, toggleRecording } = useVoiceInput({
+    disabled: isPending || uploadingImage,
+    onTranscript: (text) => {
+      setInput((current) => (current.trim() ? `${current.trim()} ${text}` : text));
+      setError(null);
+    },
+    onError: (message) => setError(message),
+  });

  useEffect(() => {
    saveAssistantChat(userId, messages);
@@ -36,6 +87,48 @@ export function AssistantPanel({ configured, userId }: Props) {
    };
  }, []);

+  const loadModels = useCallback(async (options?: { refresh?: boolean; signal?: AbortSignal }) => {
+    if (options?.signal?.aborted) return;
+
+    setModelsLoading(true);
+    try {
+      const params = new URLSearchParams();
+      if (options?.refresh) params.set("refresh", "1");
+      const query = params.size > 0 ? `?${params.toString()}` : "";
+
+      const response = await fetch(`/api/agent/models${query}`, {
+        cache: "no-store",
+        signal: options?.signal,
+      });
+      if (!response.ok) throw new Error("Model discovery unavailable");
+      const payload = (await response.json()) as ModelsResponse;
+      if (options?.signal?.aborted) return;
+      setModelOptions(payload.models);
+      setSelectedModel(payload.selectedModel);
+      setFallbackModel(payload.fallbackModel);
+      setModelsDegraded(payload.degraded);
+      setError(null);
+    } catch (err) {
+      if (err instanceof Error && err.name === "AbortError") return;
+      setModelsDegraded(true);
+      setError("Model discovery unavailable");
+    } finally {
+      if (!options?.signal?.aborted) setModelsLoading(false);
+    }
+  }, []);
+
+  useEffect(() => {
+    const controller = new AbortController();
+
+    queueMicrotask(() => {
+      void loadModels({ signal: controller.signal });
+    });
+
+    return () => {
+      controller.abort();
+    };
+  }, [loadModels]);
+
  function scrollToBottom() {
    requestAnimationFrame(() => {
      const node = listRef.current;
@@ -46,22 +139,65 @@ export function AssistantPanel({ configured, userId }: Props) {
  function clearChat() {
    abortRef.current?.abort();
    setMessages([]);
+    setInput("");
+    setPendingImage(null);
    setError(null);
    setActivityLabel(null);
    setIsPending(false);
    clearAssistantChat(userId);
  }

+  async function handleImageSelect(event: React.ChangeEvent<HTMLInputElement>) {
+    const file = event.target.files?.[0];
+    event.target.value = "";
+    if (!file || isPending || uploadingImage) return;
+
+    setUploadingImage(true);
+    setError(null);
+    try {
+      const url = await uploadAssistantImage(file);
+      setPendingImage({ url });
+    } catch (err) {
+      setError(err instanceof Error ? err.message : "Image upload failed");
+    } finally {
+      setUploadingImage(false);
+    }
+  }
+
+  function changeModel(nextModel: string | null) {
+    if (!nextModel) return;
+
+    setSelectedModel(nextModel);
+    setError(null);
+
+    startTransition(async () => {
+      try {
+        await setAssistantModel(nextModel === fallbackModel ? null : nextModel);
+      } catch (err) {
+        setError(err instanceof Error ? err.message : "Could not save assistant model");
+      }
+    });
+  }
+
  async function sendMessage() {
    const text = input.trim();
-    if (!text || isPending) return;
+    const hasImage = pendingImage !== null;
+    if ((!text && !hasImage) || isPending || voiceState !== "idle") return;

-    const nextMessages: AssistantChatMessage[] = [...messages, { role: "user", content: text }];
+    const content = text || "Help me with this image.";
+    const userMessage: AssistantChatMessage = {
+      role: "user",
+      content,
+      ...(pendingImage ? { imageUrl: pendingImage.url } : {}),
+    };
+
+    const nextMessages: AssistantChatMessage[] = [...messages, userMessage];
    setInput("");
+    setPendingImage(null);
    setError(null);
    setMessages(nextMessages);
    setIsPending(true);
-    setActivityLabel("Understanding your request…");
+    setActivityLabel(hasImage ? "Reading your photo…" : "Understanding your request…");
    scrollToBottom();

    abortRef.current?.abort();
@@ -72,7 +208,11 @@ export function AssistantPanel({ configured, userId }: Props) {
      const response = await fetch("/api/agent/chat", {
        method: "POST",
        headers: { "Content-Type": "application/json" },
-        body: JSON.stringify({ messages: nextMessages, stream: true }),
+        body: JSON.stringify({
+          messages: nextMessages.map(toClientChatMessage),
+          model: selectedModel || undefined,
+          stream: true,
+        }),
        signal: controller.signal,
      });

@@ -87,7 +227,14 @@ export function AssistantPanel({ configured, userId }: Props) {
        throw new Error("Assistant returned an empty response");
      }

-      setMessages((current) => [...current, result.message]);
+      setMessages((current) => [
+        ...current,
+        {
+          role: "assistant",
+          content: result.message.content,
+          ...(result.toolCalls.length > 0 ? { toolCalls: result.toolCalls } : {}),
+        },
+      ]);
      scrollToBottom();
    } catch (err) {
      if (err instanceof Error && err.name === "AbortError") return;
@@ -100,25 +247,74 @@ export function AssistantPanel({ configured, userId }: Props) {
  }

  const showEmptyState = messages.length === 0 && !isPending;
+  const inputDisabled = isPending || voiceState === "transcribing" || uploadingImage;
+  const canSend =
+    !isPending &&
+    !savingModel &&
+    voiceState === "idle" &&
+    !uploadingImage &&
+    (input.trim().length > 0 || pendingImage !== null);

  return (
    <div className="flex min-h-0 flex-1 flex-col gap-3">
      <div className="flex items-start justify-between gap-3">
-        <p className="muted min-w-0 text-[12px] leading-relaxed">
-          {configured
-            ? "Ask me to update lists, calendar, notes, or journal."
-            : "Mock provider active — set LLM_BASE_URL for your homelab model."}
-        </p>
-        {messages.length > 0 ? (
-          <button
+        <div className="min-w-0 flex-1">
+          <p className="muted text-[12px] leading-relaxed">
+            {configured
+              ? "Type, talk, or send a photo — I can update lists, calendar, notes, and more."
+              : "Mock provider active — set LLM_BASE_URL for your homelab model."}
+          </p>
+          {modelsDegraded ? (
+            <p className="muted mt-1 text-[11px]">Model discovery unavailable; using fallback.</p>
+          ) : null}
+        </div>
+        <div className="flex shrink-0 items-center gap-2">
+          {modelOptions.length > 0 ? (
+            <div className="relative max-w-36">
+              <select
+                aria-label="Assistant model"
+                value={selectedModel}
+                onChange={(event) => changeModel(event.target.value)}
+                disabled={modelsLoading || savingModel || isPending}
+                className="h-9 w-full max-w-36 appearance-none truncate rounded-[min(var(--radius-md),10px)] border border-input bg-[var(--card)] py-0 pr-8 pl-3 text-[13px] leading-9 text-[var(--ink)] outline-none transition-colors focus-visible:border-ring focus-visible:ring-3 focus-visible:ring-ring/50 disabled:cursor-not-allowed disabled:opacity-50"
+              >
+                {modelOptions.map((model) => (
+                  <option key={model.id} value={model.id}>
+                    {model.label}
+                  </option>
+                ))}
+              </select>
+              <ChevronDown
+                className="pointer-events-none absolute top-1/2 right-2 size-4 -translate-y-1/2 text-muted-foreground"
+                aria-hidden="true"
+              />
+            </div>
+          ) : null}
+          <Button
            type="button"
-            onClick={clearChat}
-            disabled={isPending}
-            className="shrink-0 text-[11px] text-muted-foreground transition-colors hover:text-foreground disabled:opacity-50"
+            size="sm"
+            variant="outline"
+            aria-label="Refresh assistant models"
+            disabled={modelsLoading || savingModel || isPending}
+            onClick={() => void loadModels({ refresh: true })}
          >
-            Clear
-          </button>
-        ) : null}
+            {modelsLoading ? (
+              <Loader2 className="size-4 animate-spin" />
+            ) : (
+              <RefreshCw className="size-4" />
+            )}
+          </Button>
+          {messages.length > 0 ? (
+            <button
+              type="button"
+              onClick={clearChat}
+              disabled={isPending}
+              className="shrink-0 text-[11px] text-muted-foreground transition-colors hover:text-foreground disabled:opacity-50"
+            >
+              Clear
+            </button>
+          ) : null}
+        </div>
      </div>

      <div
@@ -128,8 +324,8 @@ export function AssistantPanel({ configured, userId }: Props) {
      >
        {showEmptyState ? (
          <p className="muted text-[12px]">
-            Try &quot;add milk to the shopping list&quot; or &quot;what&apos;s on the calendar this
-            week?&quot;
+            Try &quot;add milk to the shopping list&quot;, tap the mic, or attach a photo of an
+            appointment card.
          </p>
        ) : (
          <div className="grid gap-2">
@@ -144,9 +340,24 @@ export function AssistantPanel({ configured, userId }: Props) {
                style={message.role === "assistant" ? { borderColor: "var(--hair)" } : undefined}
              >
                <div className="eyebrow mb-0.5 text-[10px]">
-                  {message.role === "user" ? "You" : "Assistant"}
+                  {message.role === "user" ? "You" : assistantName}
                </div>
+                {message.imageUrl ? (
+                  // User-uploaded assistant attachment preview
+                  <img
+                    src={message.imageUrl}
+                    alt=""
+                    className="mb-2 max-h-40 w-full rounded-md object-contain"
+                  />
+                ) : null}
                {message.content}
+                {message.role === "assistant" &&
+                message.toolCalls &&
+                message.toolCalls.length > 0 ? (
+                  <p className="mt-1 text-[10px] text-muted-foreground">
+                    {message.toolCalls.map((call) => `${call.name}→${call.status}`).join(" · ")}
+                  </p>
+                ) : null}
              </div>
            ))}

@@ -157,7 +368,7 @@ export function AssistantPanel({ configured, userId }: Props) {
                aria-live="polite"
                aria-busy="true"
              >
-                <div className="eyebrow mb-1 text-[10px]">Assistant</div>
+                <div className="eyebrow mb-1 text-[10px]">{assistantName}</div>
                <div className="flex items-center gap-2 text-[12.5px] text-muted-foreground">
                  <Loader2 className="size-3.5 shrink-0 animate-spin" />
                  <span>{activityLabel ?? "Working…"}</span>
@@ -168,24 +379,87 @@ export function AssistantPanel({ configured, userId }: Props) {
        )}
      </div>

+      {pendingImage ? (
+        <div className="flex items-center gap-2 rounded-[var(--r-md)] border-[0.5px] bg-[var(--shade)] p-2">
+          <img
+            src={pendingImage.url}
+            alt=""
+            className="max-h-16 max-w-[40%] rounded-md object-contain"
+          />
+          <div className="min-w-0 flex-1 text-[11px] text-muted-foreground">Photo attached</div>
+          <button
+            type="button"
+            className="text-[11px] text-muted-foreground hover:text-foreground"
+            onClick={() => setPendingImage(null)}
+            disabled={inputDisabled}
+          >
+            Remove
+          </button>
+        </div>
+      ) : null}
+
      {error ? <p className="text-[12px] text-destructive">{error}</p> : null}

      <form
        className="flex gap-2"
        onSubmit={(event) => {
          event.preventDefault();
-          sendMessage();
+          void sendMessage();
        }}
      >
+        <input
+          ref={imageInputRef}
+          type="file"
+          accept="image/*"
+          className="hidden"
+          onChange={(event) => void handleImageSelect(event)}
+        />
+        <Button
+          type="button"
+          size="sm"
+          variant="outline"
+          disabled={inputDisabled}
+          aria-label="Attach photo"
+          onClick={() => imageInputRef.current?.click()}
+        >
+          {uploadingImage ? (
+            <Loader2 className="size-4 animate-spin" />
+          ) : (
+            <ImagePlus className="size-4" />
+          )}
+        </Button>
+        <Button
+          type="button"
+          size="sm"
+          variant={voiceState === "recording" ? "destructive" : "outline"}
+          disabled={inputDisabled}
+          aria-label={voiceState === "recording" ? "Stop recording" : "Record voice message"}
+          aria-pressed={voiceState === "recording"}
+          onClick={() => void toggleRecording()}
+        >
+          {voiceState === "transcribing" ? (
+            <Loader2 className="size-4 animate-spin" />
+          ) : voiceState === "recording" ? (
+            <Square className="size-4" />
+          ) : (
+            <Mic className="size-4" />
+          )}
+        </Button>
        <Input
          value={input}
          onChange={(event) => setInput(event.target.value)}
-          placeholder="Ask the assistant…"
-          disabled={isPending}
-          aria-label="Assistant message"
-          className="h-9"
+          placeholder={
+            voiceState === "recording"
+              ? "Listening… tap mic to stop"
+              : voiceState === "transcribing"
+                ? "Transcribing…"
+                : `Ask ${assistantName}…`
+          }
+          disabled={inputDisabled}
+          aria-label={`Message for ${assistantName}`}
+          className="h-9 min-w-0 flex-1"
        />
-        <Button type="submit" size="sm" disabled={isPending || !input.trim()} aria-label="Send">
+        <Button type="submit" size="sm" disabled={!canSend} aria-label="Send">
          {isPending ? <Loader2 className="size-4 animate-spin" /> : <Send className="size-4" />}
        </Button>
      </form>
@@ -0,0 +1,129 @@
+"use client";
+
+import { useCallback, useEffect, useRef, useState } from "react";
+
+export type VoiceInputState = "idle" | "recording" | "transcribing";
+
+function pickRecorderFormat(): { mimeType: string; extension: string } {
+  const candidates = [
+    { mimeType: "audio/wav", extension: "wav" },
+    { mimeType: "audio/webm;codecs=opus", extension: "webm" },
+    { mimeType: "audio/webm", extension: "webm" },
+    { mimeType: "audio/mp4", extension: "m4a" },
+  ];
+
+  for (const candidate of candidates) {
+    if (typeof MediaRecorder !== "undefined" && MediaRecorder.isTypeSupported(candidate.mimeType)) {
+      return candidate;
+    }
+  }
+
+  return { mimeType: "", extension: "webm" };
+}
+
+export function useVoiceInput(options: {
+  onTranscript: (text: string) => void;
+  onError: (message: string) => void;
+  disabled?: boolean;
+}) {
+  const [state, setState] = useState<VoiceInputState>("idle");
+  const recorderRef = useRef<MediaRecorder | null>(null);
+  const chunksRef = useRef<Blob[]>([]);
+  const streamRef = useRef<MediaStream | null>(null);
+  const formatRef = useRef(pickRecorderFormat());
+  const onTranscriptRef = useRef(options.onTranscript);
+  const onErrorRef = useRef(options.onError);
+
+  useEffect(() => {
+    onTranscriptRef.current = options.onTranscript;
+    onErrorRef.current = options.onError;
+  }, [options.onTranscript, options.onError]);
+
+  const stopStream = useCallback(() => {
+    for (const track of streamRef.current?.getTracks() ?? []) {
+      track.stop();
+    }
+    streamRef.current = null;
+  }, []);
+
+  const stopRecording = useCallback(async () => {
+    const recorder = recorderRef.current;
+    if (!recorder || recorder.state === "inactive") return;
+
+    await new Promise<void>((resolve) => {
+      recorder.addEventListener("stop", () => resolve(), { once: true });
+      recorder.stop();
+    });
+
+    recorderRef.current = null;
+    stopStream();
+
+    const blob = new Blob(chunksRef.current, {
+      type: formatRef.current.mimeType || chunksRef.current[0]?.type || "audio/webm",
+    });
+    chunksRef.current = [];
+
+    if (blob.size === 0) {
+      setState("idle");
+      onErrorRef.current("No audio captured");
+      return;
+    }
+
+    setState("transcribing");
+    try {
+      const formData = new FormData();
+      formData.append("file", blob, `recording.${formatRef.current.extension}`);
+      const response = await fetch("/api/agent/transcribe", { method: "POST", body: formData });
+      if (!response.ok) {
+        const payload = (await response.json().catch(() => null)) as { error?: string } | null;
+        throw new Error(payload?.error ?? "Transcription failed");
+      }
+      const payload = (await response.json()) as { text: string };
+      onTranscriptRef.current(payload.text);
+    } catch (err) {
+      onErrorRef.current(err instanceof Error ? err.message : "Transcription failed");
+    } finally {
+      setState("idle");
+    }
+  }, [stopStream]);
+
+  const startRecording = useCallback(async () => {
+    if (options.disabled || state !== "idle") return;
+    if (typeof navigator === "undefined" || !navigator.mediaDevices?.getUserMedia) {
+      onErrorRef.current("Microphone not available in this browser");
+      return;
+    }
+
+    formatRef.current = pickRecorderFormat();
+
+    try {
+      const stream = await navigator.mediaDevices.getUserMedia({ audio: true });
+      streamRef.current = stream;
+      const recorder = formatRef.current.mimeType
+        ? new MediaRecorder(stream, { mimeType: formatRef.current.mimeType })
+        : new MediaRecorder(stream);
+      chunksRef.current = [];
+      recorder.addEventListener("dataavailable", (event) => {
+        if (event.data.size > 0) chunksRef.current.push(event.data);
+      });
+      recorder.start();
+      recorderRef.current = recorder;
+      setState("recording");
+    } catch {
+      stopStream();
+      onErrorRef.current("Microphone permission denied");
+    }
+  }, [options.disabled, state, stopStream]);
+
+  const toggleRecording = useCallback(async () => {
+    if (state === "recording") {
+      await stopRecording();
+      return;
+    }
+    if (state === "idle") {
+      await startRecording();
+    }
+  }, [startRecording, state, stopRecording]);
+
+  return { state, toggleRecording };
+}
@@ -0,0 +1,26 @@
+import { z } from "zod";
+import { isValidLlmModelId } from "@/lib/llm/models";
+
+export const clientChatAttachmentSchema = z.object({
+  type: z.literal("image"),
+  url: z.string().trim().min(1).max(2048),
+});
+
+export const clientChatMessageSchema = z.object({
+  role: z.enum(["user", "assistant"]),
+  content: z.string().trim().min(1).max(8000),
+  attachments: z.array(clientChatAttachmentSchema).max(3).optional(),
+});
+
+export const clientChatModelSchema = z
+  .string()
+  .refine((value) => isValidLlmModelId(value), "Invalid assistant model");
+
+export const clientChatInputSchema = z.object({
+  stream: z.boolean().optional(),
+  model: clientChatModelSchema.optional(),
+  messages: z.array(clientChatMessageSchema).min(1).max(40),
+});
+
+export type ClientChatAttachment = z.infer<typeof clientChatAttachmentSchema>;
+export type ClientChatMessage = z.infer<typeof clientChatMessageSchema>;
@@ -0,0 +1,85 @@
+const MUTATION_TOOLS = new Set([
+  "add_list_item",
+  "update_list_item",
+  "delete_list_item",
+  "create_list",
+  "update_list",
+  "delete_list",
+  "create_event",
+  "update_event",
+  "delete_event",
+  "create_calendar",
+  "create_note",
+  "update_note",
+  "delete_note",
+  "create_journal_entry",
+  "update_journal_entry",
+  "delete_journal_entry",
+  "create_garden_plant",
+  "update_garden_plant",
+  "delete_garden_plant",
+  "create_garden_container",
+  "update_garden_container",
+  "delete_garden_container",
+  "log_garden_care",
+  "create_garden_care_schedule",
+  "update_garden_care_schedule",
+  "delete_garden_care_schedule",
+  "schedule_garden_care_on_calendar",
+  "create_bang",
+  "update_bang",
+  "delete_bang",
+  "create_share_link",
+  "revoke_share_link",
+]);
+
+export function isMutationTool(name: string): boolean {
+  return MUTATION_TOOLS.has(name);
+}
+
+export function isSuccessfulWrite(name: string, status: number, argsJson = ""): boolean {
+  if (!isSuccessfulStatus(status)) return false;
+  if (isMutationTool(name)) return true;
+  if (name !== "call_api") return false;
+  try {
+    const args = JSON.parse(argsJson || "{}") as { method?: string };
+    const method = typeof args.method === "string" ? args.method.toUpperCase() : "";
+    return method === "POST" || method === "PATCH" || method === "DELETE";
+  } catch {
+    return false;
+  }
+}
+
+export function isSuccessfulStatus(status: number): boolean {
+  return status >= 200 && status < 300;
+}
+
+export function fingerprintToolCalls(calls: Array<{ name: string; arguments: string }>): string {
+  return calls.map((call) => `${call.name}:${normalizeArgs(call.arguments)}`).join("|");
+}
+
+export function truncateToolResult(result: string, maxChars = 6000): string {
+  if (result.length <= maxChars) return result;
+  return `${result.slice(0, maxChars)}\n…[truncated ${result.length - maxChars} chars]`;
+}
+
+export function summarizeToolTrace(toolCalls: Array<{ name: string; status: number }>): string {
+  if (toolCalls.length === 0) return "No tools were called.";
+  return toolCalls.map((call) => `${call.name}→${call.status}`).join(", ");
+}
+
+function normalizeArgs(argsJson: string): string {
+  try {
+    const parsed: unknown = JSON.parse(argsJson || "{}");
+    if (!parsed || typeof parsed !== "object" || Array.isArray(parsed)) {
+      return JSON.stringify(parsed);
+    }
+    const sorted: Record<string, unknown> = {};
+    for (const key of Object.keys(parsed as Record<string, unknown>).sort()) {
+      sorted[key] = (parsed as Record<string, unknown>)[key];
+    }
+    return JSON.stringify(sorted);
+  } catch {
+    return argsJson.trim();
+  }
+}
@@ -0,0 +1,35 @@
+import { minioClient, MINIO_BUCKET } from "@/lib/minio";
+
+const UPLOAD_PATH_PREFIX = "/api/uploads/";
+
+function uploadKeyFromUrl(url: string): string | null {
+  if (!url.startsWith(UPLOAD_PATH_PREFIX)) return null;
+  const key = url.slice(UPLOAD_PATH_PREFIX.length);
+  if (!key || key.includes("..")) return null;
+  return key;
+}
+
+export async function resolveAssistantImageDataUrl(url: string): Promise<string> {
+  const key = uploadKeyFromUrl(url);
+  if (!key) {
+    throw new Error("Unsupported image URL");
+  }
+
+  const stream = await minioClient.getObject(MINIO_BUCKET, key);
+  const chunks: Buffer[] = [];
+  for await (const chunk of stream) {
+    chunks.push(Buffer.isBuffer(chunk) ? chunk : Buffer.from(chunk as Uint8Array));
+  }
+  const buffer = Buffer.concat(chunks);
+
+  const stat = await minioClient.statObject(MINIO_BUCKET, key);
+  const metaData = stat.metaData as Record<string, string> | undefined;
+  const contentType =
+    metaData?.["content-type"] ?? metaData?.["Content-Type"] ?? "application/octet-stream";
+
+  return `data:${contentType};base64,${buffer.toString("base64")}`;
+}
+
+export async function resolveAssistantImageDataUrls(urls: string[]): Promise<string[]> {
+  return Promise.all(urls.map((url) => resolveAssistantImageDataUrl(url)));
+}
@@ -1,15 +1,20 @@
+import logger from "@/lib/logger";
 import { createLlmClient, type ChatMessage, type LlmClient } from "@/lib/llm";
-import { AGENT_SYSTEM_PROMPT, AGENT_TOOLS } from "../tools";
+import { buildVisionContentParts, textFromMessageContent } from "@/lib/llm/content";
+import { AGENT_SYSTEM_PROMPT, AGENT_TOOLS, appendAgentRuntimeContext } from "../tools";
+import type { ClientChatMessage } from "../messages";
 import { describeToolActivity } from "../tool-labels";
 import { createApiToolExecutor, type ToolExecutor } from "../tool-executor";
+import {
+  fingerprintToolCalls,
+  isSuccessfulWrite,
+  summarizeToolTrace,
+  truncateToolResult,
+} from "./loop-guards";
+import { resolveAssistantImageDataUrls } from "./resolve-images";
 import { thinkingLabel, type AgentProgressEvent } from "./progress";

-const MAX_TOOL_ROUNDS = 8;
-
-export type ClientChatMessage = {
-  role: "user" | "assistant";
-  content: string;
-};
+const MAX_TOOL_ROUNDS = 24;

 export type AgentToolCallSummary = {
  name: string;
@@ -23,35 +28,72 @@ export type AgentChatResult = {

 export type AgentProgressHandler = (event: AgentProgressEvent) => void;

+async function toLlmUserMessage(message: ClientChatMessage): Promise<ChatMessage> {
+  if (message.role === "assistant") {
+    return { role: "assistant", content: message.content };
+  }
+
+  const imageUrls =
+    message.attachments?.filter((attachment) => attachment.type === "image").map((a) => a.url) ??
+    [];
+
+  if (imageUrls.length === 0) {
+    return { role: "user", content: message.content };
+  }
+
+  const dataUrls = await resolveAssistantImageDataUrls(imageUrls);
+  return {
+    role: "user",
+    content: buildVisionContentParts(message.content, dataUrls),
+  };
+}
+
+function forceReplyAfterWrite(writeNames: string[]): ChatMessage {
+  return {
+    role: "user",
+    content: `The write already succeeded (${writeNames.join(", ")}). Stop calling tools and reply to the user in one short sentence confirming what you did.`,
+  };
+}
+
+function forceReplyAfterRepeat(): ChatMessage {
+  return {
+    role: "user",
+    content:
+      "You repeated the same tool call. Stop calling tools and reply with what you already know, or ask one clarifying question.",
+  };
+}
+
 export async function runAgentChat(options: {
  messages: ClientChatMessage[];
  request: Request;
+  systemPrompt?: string;
+  model?: string;
  llm?: LlmClient;
  executeTool?: ToolExecutor;
  onProgress?: AgentProgressHandler;
 }): Promise<AgentChatResult> {
-  const llm = options.llm ?? createLlmClient();
+  const llm = options.llm ?? createLlmClient({ model: options.model });
  const executeTool = options.executeTool ?? createApiToolExecutor(options.request);
  const onProgress = options.onProgress;
+  const systemPrompt = appendAgentRuntimeContext(options.systemPrompt ?? AGENT_SYSTEM_PROMPT);

-  const transcript: ChatMessage[] = [
-    { role: "system", content: AGENT_SYSTEM_PROMPT },
-    ...options.messages.map(
-      (message): ChatMessage => ({
-        role: message.role,
-        content: message.content,
-      }),
-    ),
-  ];
+  const userMessages = await Promise.all(
+    options.messages.map((message) => toLlmUserMessage(message)),
+  );
+
+  const transcript: ChatMessage[] = [{ role: "system", content: systemPrompt }, ...userMessages];

  const toolCalls: AgentToolCallSummary[] = [];
+  const seenFingerprints = new Set<string>();
+  const successfulWriteNames: string[] = [];
+  let forceReply = false;

  for (let round = 0; round < MAX_TOOL_ROUNDS; round += 1) {
    onProgress?.({ type: "thinking", label: thinkingLabel(round), round });

    const completion = await llm.chatCompletion({
      messages: transcript,
-      tools: AGENT_TOOLS,
+      tools: forceReply ? undefined : AGENT_TOOLS,
    });

    const assistantMessage = completion.message;
@@ -59,15 +101,56 @@ export async function runAgentChat(options: {

    if (!assistantMessage.tool_calls?.length) {
      onProgress?.({ type: "responding", label: "Writing a reply…" });
+      logger.info(
+        {
+          msg: "agent.chat.done",
+          rounds: round + 1,
+          toolCalls: toolCalls.map((call) => `${call.name}:${call.status}`),
+          forcedReply: forceReply,
+        },
+        "agent chat completed",
+      );
      return {
        message: {
          role: "assistant",
-          content: assistantMessage.content?.trim() || "I couldn't generate a response.",
+          content:
+            textFromMessageContent(assistantMessage.content).trim() ||
+            "I couldn't generate a response.",
        },
        toolCalls,
      };
    }

+    if (forceReply) {
+      logger.warn(
+        {
+          msg: "agent.chat.forced_tools_ignored",
+          round,
+          names: assistantMessage.tool_calls.map((c) => c.function.name),
+        },
+        "model kept calling tools after force-reply",
+      );
+      break;
+    }
+
+    const fingerprint = fingerprintToolCalls(
+      assistantMessage.tool_calls.map((call) => ({
+        name: call.function.name,
+        arguments: call.function.arguments,
+      })),
+    );
+
+    if (seenFingerprints.has(fingerprint)) {
+      logger.warn(
+        { msg: "agent.chat.duplicate_tools", round, fingerprint, toolCalls: fingerprint },
+        "duplicate tool round detected",
+      );
+      transcript.push(forceReplyAfterRepeat());
+      forceReply = true;
+      continue;
+    }
+    seenFingerprints.add(fingerprint);
+
    for (const toolCall of assistantMessage.tool_calls) {
      const label = describeToolActivity(toolCall.function.name, toolCall.function.arguments);
      onProgress?.({ type: "tool", name: toolCall.function.name, label });
@@ -77,8 +160,20 @@ export async function runAgentChat(options: {

      try {
        result = await executeTool(toolCall.function.name, toolCall.function.arguments);
-        const parsed = JSON.parse(result) as { status?: number };
+        const parsed = JSON.parse(result) as { status?: number; body?: unknown };
        status = typeof parsed.status === "number" ? parsed.status : 200;
+        if (status >= 400) {
+          logger.warn(
+            {
+              msg: "agent.chat.tool_error",
+              round,
+              name: toolCall.function.name,
+              status,
+              body: parsed.body,
+            },
+            "agent tool returned error",
+          );
+        }
      } catch (err) {
        status = 500;
        result = JSON.stringify({
@@ -88,21 +183,69 @@ export async function runAgentChat(options: {
      }

      toolCalls.push({ name: toolCall.function.name, status });
+      logger.info(
+        {
+          msg: "agent.chat.tool",
+          round,
+          name: toolCall.function.name,
+          status,
+          args: toolCall.function.arguments.slice(0, 300),
+        },
+        "agent tool call",
+      );
+
+      if (isSuccessfulWrite(toolCall.function.name, status, toolCall.function.arguments)) {
+        successfulWriteNames.push(toolCall.function.name);
+      }

      transcript.push({
        role: "tool",
        tool_call_id: toolCall.id,
        name: toolCall.function.name,
-        content: result,
+        content: truncateToolResult(result),
      });
    }
+
+    if (successfulWriteNames.length > 0) {
+      transcript.push(forceReplyAfterWrite(successfulWriteNames));
+      forceReply = true;
+    }
  }

  onProgress?.({ type: "responding", label: "Wrapping up…" });
+  const trace = summarizeToolTrace(toolCalls);
+
+  if (successfulWriteNames.length > 0) {
+    logger.warn(
+      {
+        msg: "agent.chat.forced_summary",
+        rounds: MAX_TOOL_ROUNDS,
+        toolCalls: toolCalls.map((call) => `${call.name}:${call.status}`),
+      },
+      "agent summarizing after write without clean stop",
+    );
+    return {
+      message: {
+        role: "assistant",
+        content: `Done. Completed: ${[...new Set(successfulWriteNames)].join(", ")}.`,
+      },
+      toolCalls,
+    };
+  }
+
+  logger.warn(
+    {
+      msg: "agent.chat.tool_limit",
+      rounds: MAX_TOOL_ROUNDS,
+      toolCalls: toolCalls.map((call) => `${call.name}:${call.status}`),
+      forcedReply: forceReply,
+    },
+    "agent hit tool-call limit",
+  );
  return {
    message: {
      role: "assistant",
-      content: "I hit the tool-call limit for this request. Please try a simpler question.",
+      content: `I hit the tool-call limit for this request. Tools used: ${trace}.`,
    },
    toolCalls,
  };
@@ -1,3 +1,5 @@
+import logger from "@/lib/logger";
+
 type ApiCallResult = {
  status: number;
  body: unknown;
@@ -5,8 +7,22 @@ type ApiCallResult = {

 export type ToolExecutor = (name: string, argsJson: string) => Promise<string>;

+/** Loopback base for in-process tool → /api/v1 calls. Avoids hairpinning to the public URL. */
+export function resolveInternalApiBase(request: Request): string {
+  const configured = process.env.INTERNAL_API_BASE_URL?.trim();
+  if (configured) return configured.replace(/\/$/, "");
+
+  const port = process.env.PORT?.trim() || "3000";
+  const requestUrl = new URL(request.url);
+  if (requestUrl.hostname === "localhost" || requestUrl.hostname === "127.0.0.1") {
+    return requestUrl.origin;
+  }
+
+  return `http://127.0.0.1:${port}`;
+}
+
 export function createApiToolExecutor(request: Request): ToolExecutor {
-  const origin = new URL(request.url).origin;
+  const origin = resolveInternalApiBase(request);

  return async (name: string, argsJson: string) => {
    const args = parseArgs(argsJson);
@@ -111,8 +127,11 @@ async function dispatchTool(
      return callApi(request, origin, "GET", `/api/v1/events?${qs.toString()}`);
    }
    case "create_event": {
+      const resolved = await resolveCalendarId(args, request, origin);
+      if ("error" in resolved) return resolved.error;
+
      const body: Record<string, unknown> = {
-        calendarId: requireString(args, "calendarId"),
+        calendarId: resolved.calendarId,
        title: requireString(args, "title"),
        startAt: requireString(args, "startAt"),
        endAt: requireString(args, "endAt"),
@@ -375,6 +394,49 @@ async function dispatchTool(
  }
 }

+async function resolveCalendarId(
+  args: Record<string, unknown>,
+  request: Request,
+  origin: string,
+): Promise<{ calendarId: string } | { error: ApiCallResult }> {
+  const calendarId = typeof args.calendarId === "string" ? args.calendarId.trim() : "";
+  if (calendarId) return { calendarId };
+
+  const calendarsResult = await callApi(request, origin, "GET", "/api/v1/calendars");
+  if (calendarsResult.status !== 200 || !Array.isArray(calendarsResult.body)) {
+    return { error: calendarsResult };
+  }
+
+  const calendars = calendarsResult.body as Array<{ id?: string; name?: string }>;
+  const calendarName =
+    typeof args.calendarName === "string" ? args.calendarName.trim().toLowerCase() : "";
+
+  if (calendarName) {
+    const match = calendars.find(
+      (calendar) =>
+        typeof calendar.name === "string" && calendar.name.toLowerCase() === calendarName,
+    );
+    if (!match?.id) {
+      return {
+        error: {
+          status: 404,
+          body: {
+            error: `No calendar named "${args.calendarName}"`,
+            calendars: calendars.map((calendar) => ({ id: calendar.id, name: calendar.name })),
+          },
+        },
+      };
+    }
+    return { calendarId: match.id };
+  }
+
+  const first = calendars[0];
+  if (!first?.id) {
+    return { error: { status: 404, body: { error: "No calendars found" } } };
+  }
+  return { calendarId: first.id };
+}
+
 function requireString(args: Record<string, unknown>, key: string): string {
  const value = args[key];
  if (typeof value !== "string" || value.trim().length === 0) {
@@ -405,13 +467,18 @@ async function getApiDocs(args: Record<string, unknown>): Promise<ApiCallResult>
  const specPath = path.join(process.cwd(), "docs", "api", "openapi.yaml");
  const spec = await readFile(specPath, "utf8");
  const search = typeof args.search === "string" ? args.search.trim().toLowerCase() : "";
+  const pathLines = spec
+    .split("\n")
+    .map((line) => line.trim())
+    .filter((line) => line.startsWith("/api/v1/"));

  if (!search) {
    return {
      status: 200,
      body: {
-        spec,
-        hint: "Pass search to filter paths, or use call_api with a /api/v1/* path.",
+        paths: pathLines.slice(0, 80),
+        pathCount: pathLines.length,
+        hint: "Pass search (e.g. calendar, events, lists) to get matching lines. Do not request the full OpenAPI dump.",
      },
    };
  }
@@ -423,8 +490,8 @@ async function getApiDocs(args: Record<string, unknown>): Promise<ApiCallResult>
    body: {
      search,
      matchCount: matches.length,
-      matches: matches.slice(0, 100),
-      hint: "Use call_api with method and path from the matches above.",
+      matches: matches.slice(0, 40),
+      hint: "Use a dedicated tool when one exists; otherwise call_api with method and path from the matches above.",
    },
  };
 }
@@ -471,14 +538,30 @@ async function callApi(
  path: string,
  body?: Record<string, unknown>,
 ): Promise<ApiCallResult> {
-  const response = await fetch(`${origin}${path}`, {
-    method,
-    headers: {
-      "Content-Type": "application/json",
-      cookie: request.headers.get("cookie") ?? "",
-    },
-    body: body !== undefined ? JSON.stringify(body) : undefined,
-  });
+  const url = `${origin}${path}`;
+  const headers: Record<string, string> = {
+    "Content-Type": "application/json",
+  };
+  const cookie = request.headers.get("cookie");
+  if (cookie) headers.cookie = cookie;
+  const authorization = request.headers.get("authorization");
+  if (authorization) headers.authorization = authorization;
+
+  let response: Response;
+  try {
+    response = await fetch(url, {
+      method,
+      headers,
+      body: body !== undefined ? JSON.stringify(body) : undefined,
+    });
+  } catch (err) {
+    const message = err instanceof Error ? err.message : "fetch failed";
+    logger.error(
+      { msg: "agent.tool.fetch_failed", method, url, error: message },
+      "agent tool internal fetch failed",
+    );
+    return { status: 502, body: { error: `Internal API unreachable: ${message}`, url } };
+  }

  const text = await response.text();
  let parsed: unknown = null;
@@ -490,5 +573,12 @@ async function callApi(
    }
  }

+  if (response.status >= 400) {
+    logger.warn(
+      { msg: "agent.tool.api_error", method, url, status: response.status, body: parsed },
+      "agent tool API error",
+    );
+  }
+
  return { status: response.status, body: parsed };
 }
@@ -159,11 +159,16 @@ export const AGENT_TOOLS: AgentToolDefinition[] = [
    type: "function",
    function: {
      name: "create_event",
-      description: "Create a calendar event.",
+      description:
+        "Create a calendar event. Provide calendarId, or calendarName to match by name, or omit both to use the first visible calendar.",
      parameters: {
        type: "object",
        properties: {
-          calendarId: { type: "string" },
+          calendarId: { type: "string", description: "UUID of the calendar" },
+          calendarName: {
+            type: "string",
+            description: "Calendar display name when calendarId is unknown",
+          },
          title: { type: "string" },
          startAt: { type: "string", description: "ISO 8601 start" },
          endAt: { type: "string", description: "ISO 8601 end" },
@@ -175,7 +180,7 @@ export const AGENT_TOOLS: AgentToolDefinition[] = [
            description: "Optional reminder N minutes before start",
          },
        },
-        required: ["calendarId", "title", "startAt", "endAt"],
+        required: ["title", "startAt", "endAt"],
      },
    },
  },
@@ -713,15 +718,16 @@ export const AGENT_TOOLS: AgentToolDefinition[] = [
    function: {
      name: "get_api_docs",
      description:
-        "Read famapp REST API documentation (OpenAPI). Use when unsure which endpoint to call or no dedicated tool exists. Pass search to filter relevant paths.",
+        "Search famapp REST API docs for /api/v1 paths. Always pass search. Returns matching lines only — not the full OpenAPI file.",
      parameters: {
        type: "object",
        properties: {
          search: {
            type: "string",
-            description: "Optional keyword to filter paths (e.g. garden, share, journal)",
+            description: "Keyword to filter paths (e.g. garden, share, journal, events)",
          },
        },
+        required: ["search"],
      },
    },
  },
@@ -762,11 +768,15 @@ export const AGENT_SYSTEM_PROMPT = `You are the famapp household assistant. Help

 Use the provided tools to read and update data. Prefer calling tools instead of guessing. Be concise and friendly.

-When no dedicated tool fits, or you are unsure how to do something:
-1. Call get_api_docs with a relevant search term to find the right /api/v1/* endpoint.
+Prefer a dedicated tool when one exists (create_event, add_list_item, create_note, etc.). After a successful write (2xx), stop calling tools and confirm in one short sentence — do not re-list or re-create.
+When no dedicated tool fits, or you need an endpoint that is not wrapped yet:
+1. Call get_api_docs with a relevant search term (always pass search; never request the full spec).
 2. Call call_api with the documented method, path, query, and body.
+If a tool call fails, read the error body and fix the arguments before trying a different approach. Do not repeat the exact same tool call.

-Lists: resolve list ids via list_lists. To complete items, list_list_items then update_list_item with done: true.
+When the user sends a photo, read dates, times, locations, and action items from it, then use tools to act.
+
+Lists: resolve list ids via list_lists, or pass listType to add_list_item. To complete items, list_list_items then update_list_item with done: true.

 Journal: per-user private entries. Valid mood ids: ${JOURNAL_MOOD_IDS}. stress is 1-10. pillsTaken is boolean.

@@ -774,4 +784,32 @@ Garden: care types are free text (water, fertilize, prune, etc.). Use list_garde

 Sharing: journal entries are not shareable. Shareable types: calendar, calendar.event, list, note, garden.plant, garden.container.

-Calendar: use ISO 8601 datetimes. Bang dates use YYYY-MM-DD.`;
+Calendar: use ISO 8601 datetimes with the household timezone below. Pass calendarId, or calendarName, or omit both to use the first visible calendar. Bang dates use YYYY-MM-DD.`;
+
+export function resolveHouseholdTimezone(): string {
+  return process.env.HOUSEHOLD_TIMEZONE?.trim() || process.env.TZ?.trim() || "America/Chicago";
+}
+
+export function appendAgentRuntimeContext(prompt: string, now: Date = new Date()): string {
+  const timeZone = resolveHouseholdTimezone();
+  let localNow: string;
+  try {
+    localNow = new Intl.DateTimeFormat("en-US", {
+      timeZone,
+      weekday: "long",
+      year: "numeric",
+      month: "long",
+      day: "numeric",
+      hour: "numeric",
+      minute: "2-digit",
+      hour12: true,
+      timeZoneName: "short",
+    }).format(now);
+  } catch {
+    localNow = now.toISOString();
+  }
+
+  return `${prompt.trim()}
+
+Current time: ${localNow} (${timeZone}). ISO now: ${now.toISOString()}. Resolve relative dates from this clock.`;
+}
@@ -14,6 +14,7 @@ const CATEGORIES = [
  { value: "flower", label: "Flower" },
  { value: "succulent", label: "Succulent" },
  { value: "cactus", label: "Cactus" },
+  { value: "carnivore", label: "Carnivore" },
  { value: "tropical", label: "Tropical" },
  { value: "tree", label: "Tree" },
  { value: "shrub", label: "Shrub" },
@@ -1,4 +1,13 @@
-import { expect, test } from "@playwright/test";
+import { expect, test, type Page } from "@playwright/test";
+
+async function ensureSignedIn(page: Page) {
+  await page.goto("/");
+  const devLogin = page.getByRole("button", { name: "Dev login" });
+  if (await devLogin.isVisible().catch(() => false)) {
+    await devLogin.click();
+    await page.waitForURL((url) => !url.pathname.startsWith("/login"));
+  }
+}

 test("assistant bubble is hidden until opted in", async ({ page }) => {
  await page.goto("/");
@@ -6,17 +15,37 @@ test("assistant bubble is hidden until opted in", async ({ page }) => {
 });

 test("assistant chat smoke after opt-in", async ({ page }) => {
+  await ensureSignedIn(page);
  await page.goto("/settings?s=appearance");
  const assistantSwitch = page.getByRole("switch", { name: "AI assistant" });
  if (!(await assistantSwitch.isChecked())) {
    await assistantSwitch.click();
  }
+  await expect(assistantSwitch).toBeChecked();
+  const routeSelector = page.getByRole("combobox", { name: "Assistant model route" });
+  await expect(routeSelector).toBeVisible();
+  await routeSelector.selectOption("auto");
+  await expect(routeSelector).toHaveValue("auto");
+  await expect(routeSelector).toBeEnabled();
+  await routeSelector.selectOption("uncensored");
+  await expect(routeSelector).toHaveValue("uncensored");
+  await expect(routeSelector).toBeEnabled();

  await page.goto("/");
  await page.getByRole("button", { name: "Open assistant" }).click();
  await expect(page.getByRole("dialog", { name: "Assistant" })).toBeVisible();
+  await expect(page.getByRole("combobox", { name: "Assistant model route" })).toHaveCount(0);
+  const modelSelector = page.getByRole("combobox", { name: "Assistant model", exact: true });
+  await expect(modelSelector).toBeVisible();
+  const refreshModels = page.getByRole("button", { name: "Refresh assistant models" });
+  await expect(refreshModels).toBeVisible();
+  await refreshModels.click();
+  await expect.poll(() => modelSelector.evaluate((node) => node.tagName)).toBe("SELECT");
+  await expect
+    .poll(() => modelSelector.evaluate((node) => node.getBoundingClientRect().height))
+    .toBeGreaterThanOrEqual(36);

-  await page.getByLabel("Assistant message").fill("hello assistant");
+  await page.getByLabel("Message for Assistant").fill("hello assistant");
  await page.getByRole("button", { name: "Send" }).click();

  await expect(page.getByText("hello assistant")).toBeVisible();
@@ -71,4 +71,79 @@ describe("runAgentChat", () => {
    assert.equal(result.toolCalls[0]?.name, "add_list_item");
    assert.equal(result.toolCalls[0]?.status, 201);
  });
+
+  it("accepts a custom system prompt override", async () => {
+    const result = await runAgentChat({
+      messages: [{ role: "user", content: "hello" }],
+      request: new Request("http://localhost:3000/api/agent/chat"),
+      systemPrompt: "You are a pirate.",
+      llm: createMockLlmClient(),
+    });
+
+    assert.equal(result.message.role, "assistant");
+    assert.ok(result.message.content.length > 0);
+  });
+
+  it("appends runtime clock context to the system prompt", async () => {
+    const original = process.env.HOUSEHOLD_TIMEZONE;
+    process.env.HOUSEHOLD_TIMEZONE = "America/Chicago";
+
+    let systemContent = "";
+    const result = await runAgentChat({
+      messages: [{ role: "user", content: "hello" }],
+      request: new Request("http://localhost:3000/api/agent/chat"),
+      systemPrompt: "You are a pirate.",
+      llm: {
+        async chatCompletion(request) {
+          const system = request.messages.find((message) => message.role === "system");
+          systemContent = typeof system?.content === "string" ? system.content : "";
+          return {
+            message: { role: "assistant", content: "Ahoy" },
+            finishReason: "stop",
+          };
+        },
+      },
+    });
+
+    assert.equal(result.message.content, "Ahoy");
+    assert.match(systemContent, /^You are a pirate\./);
+    assert.match(systemContent, /Current time:/);
+    assert.match(systemContent, /America\/Chicago/);
+
+    if (original === undefined) delete process.env.HOUSEHOLD_TIMEZONE;
+    else process.env.HOUSEHOLD_TIMEZONE = original;
+  });
+});
+
+it("passes a model override to the OpenAI-compatible client", async () => {
+  const originalBaseUrl = process.env.LLM_BASE_URL;
+  const originalModel = process.env.LLM_MODEL;
+  const originalProvider = process.env.LLM_PROVIDER;
+  const originalFetch = globalThis.fetch;
+  let requestBody: unknown = null;
+
+  process.env.LLM_BASE_URL = "https://llm.example.test/v1";
+  process.env.LLM_MODEL = "llama3.2";
+  delete process.env.LLM_PROVIDER;
+
+  globalThis.fetch = (async (_input: RequestInfo | URL, init?: RequestInit) => {
+    requestBody = JSON.parse(String(init?.body));
+    return Response.json({
+      choices: [{ message: { role: "assistant", content: "done" }, finish_reason: "stop" }],
+    });
+  }) as typeof fetch;
+
+  const { createLlmClient } = await import("../../src/lib/llm/index");
+  const client = createLlmClient({ model: "qwen2.5-coder" });
+  await client.chatCompletion({ messages: [{ role: "user", content: "hello" }] });
+
+  assert.equal((requestBody as { model?: string }).model, "qwen2.5-coder");
+
+  globalThis.fetch = originalFetch;
+  if (originalBaseUrl === undefined) delete process.env.LLM_BASE_URL;
+  else process.env.LLM_BASE_URL = originalBaseUrl;
+  if (originalModel === undefined) delete process.env.LLM_MODEL;
+  else process.env.LLM_MODEL = originalModel;
+  if (originalProvider === undefined) delete process.env.LLM_PROVIDER;
+  else process.env.LLM_PROVIDER = originalProvider;
 });
@@ -0,0 +1,152 @@
+import assert from "node:assert/strict";
+import { describe, it } from "node:test";
+import {
+  fingerprintToolCalls,
+  isSuccessfulWrite,
+  summarizeToolTrace,
+  truncateToolResult,
+} from "../../src/modules/agent/server/loop-guards";
+import { runAgentChat } from "../../src/modules/agent/server/run";
+import type {
+  ChatCompletionRequest,
+  ChatCompletionResult,
+  LlmClient,
+} from "../../src/lib/llm/types";
+
+describe("loop-guards", () => {
+  it("fingerprints tool calls stably regardless of key order", () => {
+    const a = fingerprintToolCalls([
+      { name: "create_event", arguments: '{"title":"Dentist","calendarName":"Family"}' },
+    ]);
+    const b = fingerprintToolCalls([
+      { name: "create_event", arguments: '{"calendarName":"Family","title":"Dentist"}' },
+    ]);
+    assert.equal(a, b);
+  });
+
+  it("treats create_event 201 as a successful write", () => {
+    assert.equal(isSuccessfulWrite("create_event", 201), true);
+    assert.equal(isSuccessfulWrite("list_calendars", 200), false);
+    assert.equal(
+      isSuccessfulWrite("call_api", 201, '{"method":"POST","path":"/api/v1/events"}'),
+      true,
+    );
+    assert.equal(
+      isSuccessfulWrite("call_api", 200, '{"method":"GET","path":"/api/v1/events"}'),
+      false,
+    );
+  });
+
+  it("truncates oversized tool results", () => {
+    const result = truncateToolResult("x".repeat(7000), 100);
+    assert.ok(result.length < 200);
+    assert.match(result, /truncated/);
+  });
+
+  it("summarizes tool traces", () => {
+    assert.equal(
+      summarizeToolTrace([
+        { name: "list_calendars", status: 200 },
+        { name: "create_event", status: 201 },
+      ]),
+      "list_calendars→200, create_event→201",
+    );
+  });
+});
+
+describe("runAgentChat loop guards", () => {
+  it("stops after a successful write instead of looping", async () => {
+    let calls = 0;
+    const llm: LlmClient = {
+      async chatCompletion(request: ChatCompletionRequest): Promise<ChatCompletionResult> {
+        calls += 1;
+        if (calls === 1) {
+          return {
+            message: {
+              role: "assistant",
+              content: null,
+              tool_calls: [
+                {
+                  id: "1",
+                  type: "function",
+                  function: {
+                    name: "create_event",
+                    arguments: JSON.stringify({
+                      title: "Dentist",
+                      startAt: "2026-07-10T15:00:00.000Z",
+                      endAt: "2026-07-10T16:00:00.000Z",
+                    }),
+                  },
+                },
+              ],
+            },
+            finishReason: "tool_calls",
+          };
+        }
+
+        assert.equal(request.tools, undefined);
+        return {
+          message: { role: "assistant", content: "Added Dentist to your calendar." },
+          finishReason: "stop",
+        };
+      },
+    };
+
+    const result = await runAgentChat({
+      messages: [{ role: "user", content: "add dentist tomorrow at 10" }],
+      request: new Request("http://localhost:3000/api/agent/chat"),
+      llm,
+      executeTool: async () =>
+        JSON.stringify({ status: 201, body: { id: "evt-1", title: "Dentist" } }),
+    });
+
+    assert.equal(calls, 2);
+    assert.equal(result.toolCalls.length, 1);
+    assert.equal(result.toolCalls[0]?.name, "create_event");
+    assert.match(result.message.content, /Dentist/);
+  });
+
+  it("breaks duplicate identical tool rounds", async () => {
+    let calls = 0;
+    const llm: LlmClient = {
+      async chatCompletion(): Promise<ChatCompletionResult> {
+        calls += 1;
+        if (calls <= 2) {
+          return {
+            message: {
+              role: "assistant",
+              content: null,
+              tool_calls: [
+                {
+                  id: String(calls),
+                  type: "function",
+                  function: {
+                    name: "list_calendars",
+                    arguments: "{}",
+                  },
+                },
+              ],
+            },
+            finishReason: "tool_calls",
+          };
+        }
+        return {
+          message: { role: "assistant", content: "You have one Family calendar." },
+          finishReason: "stop",
+        };
+      },
+    };
+
+    const result = await runAgentChat({
+      messages: [{ role: "user", content: "what calendars do I have?" }],
+      request: new Request("http://localhost:3000/api/agent/chat"),
+      llm,
+      executeTool: async () =>
+        JSON.stringify({ status: 200, body: [{ id: "cal-1", name: "Family" }] }),
+    });
+
+    assert.equal(calls, 3);
+    assert.equal(result.toolCalls.length, 1);
+    assert.match(result.message.content, /Family/);
+  });
+});
@@ -0,0 +1,55 @@
+import assert from "node:assert/strict";
+import { describe, it } from "node:test";
+import { clientChatInputSchema } from "../../src/modules/agent/messages";
+
+describe("clientChatInputSchema", () => {
+  it("accepts messages with image attachments", () => {
+    const parsed = clientChatInputSchema.safeParse({
+      stream: true,
+      messages: [
+        {
+          role: "user",
+          content: "Add this appointment to the calendar",
+          attachments: [{ type: "image", url: "/api/uploads/assistant/house-1/photo.jpg" }],
+        },
+      ],
+    });
+
+    assert.equal(parsed.success, true);
+  });
+
+  it("rejects empty message content", () => {
+    const parsed = clientChatInputSchema.safeParse({
+      messages: [{ role: "user", content: "   " }],
+    });
+
+    assert.equal(parsed.success, false);
+  });
+
+  it("accepts an optional model ID", () => {
+    const parsed = clientChatInputSchema.safeParse({
+      model: "qwen2.5-coder",
+      messages: [{ role: "user", content: "hello" }],
+    });
+
+    assert.equal(parsed.success, true);
+  });
+
+  it("rejects invalid model IDs", () => {
+    const parsed = clientChatInputSchema.safeParse({
+      model: "bad model",
+      messages: [{ role: "user", content: "hello" }],
+    });
+
+    assert.equal(parsed.success, false);
+  });
+
+  it("rejects whitespace-padded model IDs", () => {
+    const parsed = clientChatInputSchema.safeParse({
+      model: " qwen2.5-coder ",
+      messages: [{ role: "user", content: "hello" }],
+    });
+
+    assert.equal(parsed.success, false);
+  });
+});
@@ -0,0 +1,17 @@
+import assert from "node:assert/strict";
+import { describe, it } from "node:test";
+
+describe("GET /api/agent/models", () => {
+  it("is dynamic and returns no-store responses", async () => {
+    process.env.DATABASE_URL ??= "postgres://famapp:famapp@localhost:5432/famapp";
+
+    const { GET, dynamic } = await import("../../src/app/api/agent/models/route");
+
+    assert.equal(dynamic, "force-dynamic");
+
+    const response = await GET(new Request("http://localhost/api/agent/models?refresh=1"));
+
+    assert.equal(response.status, 401);
+    assert.equal(response.headers.get("Cache-Control"), "no-store");
+  });
+});
@@ -0,0 +1,171 @@
+import assert from "node:assert/strict";
+import { describe, it } from "node:test";
+import { appendAgentRuntimeContext, resolveHouseholdTimezone } from "../../src/modules/agent/tools";
+import {
+  createApiToolExecutor,
+  resolveInternalApiBase,
+} from "../../src/modules/agent/tool-executor";
+
+describe("appendAgentRuntimeContext", () => {
+  it("appends current time and timezone to the prompt", () => {
+    const original = process.env.HOUSEHOLD_TIMEZONE;
+    process.env.HOUSEHOLD_TIMEZONE = "America/Chicago";
+
+    const now = new Date("2026-07-09T14:30:00.000Z");
+    const result = appendAgentRuntimeContext("Be helpful.", now);
+
+    assert.match(result, /^Be helpful\./);
+    assert.match(result, /Current time:/);
+    assert.match(result, /America\/Chicago/);
+    assert.match(result, /2026-07-09T14:30:00\.000Z/);
+    assert.match(result, /Resolve relative dates from this clock/);
+
+    if (original === undefined) delete process.env.HOUSEHOLD_TIMEZONE;
+    else process.env.HOUSEHOLD_TIMEZONE = original;
+  });
+});
+
+describe("resolveHouseholdTimezone", () => {
+  it("prefers HOUSEHOLD_TIMEZONE over TZ", () => {
+    const originalHousehold = process.env.HOUSEHOLD_TIMEZONE;
+    const originalTz = process.env.TZ;
+    process.env.HOUSEHOLD_TIMEZONE = "America/New_York";
+    process.env.TZ = "UTC";
+
+    assert.equal(resolveHouseholdTimezone(), "America/New_York");
+
+    if (originalHousehold === undefined) delete process.env.HOUSEHOLD_TIMEZONE;
+    else process.env.HOUSEHOLD_TIMEZONE = originalHousehold;
+    if (originalTz === undefined) delete process.env.TZ;
+    else process.env.TZ = originalTz;
+  });
+});
+
+describe("resolveInternalApiBase", () => {
+  it("uses loopback instead of the public request origin", () => {
+    const original = process.env.INTERNAL_API_BASE_URL;
+    const originalPort = process.env.PORT;
+    delete process.env.INTERNAL_API_BASE_URL;
+    process.env.PORT = "3000";
+
+    const base = resolveInternalApiBase(new Request("https://fam.ginnoir.com/api/agent/chat"));
+    assert.equal(base, "http://127.0.0.1:3000");
+
+    if (original === undefined) delete process.env.INTERNAL_API_BASE_URL;
+    else process.env.INTERNAL_API_BASE_URL = original;
+    if (originalPort === undefined) delete process.env.PORT;
+    else process.env.PORT = originalPort;
+  });
+
+  it("honors INTERNAL_API_BASE_URL when set", () => {
+    const original = process.env.INTERNAL_API_BASE_URL;
+    process.env.INTERNAL_API_BASE_URL = "http://127.0.0.1:3010/";
+
+    const base = resolveInternalApiBase(new Request("https://fam.ginnoir.com/api/agent/chat"));
+    assert.equal(base, "http://127.0.0.1:3010");
+
+    if (original === undefined) delete process.env.INTERNAL_API_BASE_URL;
+    else process.env.INTERNAL_API_BASE_URL = original;
+  });
+});
+
+describe("create_event calendar resolution", () => {
+  it("uses the first calendar when calendarId and calendarName are omitted", async () => {
+    const originalFetch = globalThis.fetch;
+    const posts: Array<{ path: string; body: unknown }> = [];
+
+    globalThis.fetch = (async (input: RequestInfo | URL, init?: RequestInit) => {
+      const url = String(input);
+      if (url.includes("/api/v1/calendars") && (!init?.method || init.method === "GET")) {
+        return Response.json([
+          { id: "cal-1", name: "Family" },
+          { id: "cal-2", name: "Work" },
+        ]);
+      }
+      if (url.includes("/api/v1/events") && init?.method === "POST") {
+        const body = JSON.parse(String(init.body));
+        posts.push({ path: url, body });
+        return Response.json({ id: "evt-1", ...body }, { status: 201 });
+      }
+      return new Response("not found", { status: 404 });
+    }) as typeof fetch;
+
+    const execute = createApiToolExecutor(
+      new Request("https://fam.ginnoir.com/api/agent/chat", {
+        headers: { cookie: "authjs.session-token=test" },
+      }),
+    );
+    const result = JSON.parse(
+      await execute(
+        "create_event",
+        JSON.stringify({
+          title: "Dentist",
+          startAt: "2026-07-10T15:00:00.000Z",
+          endAt: "2026-07-10T16:00:00.000Z",
+        }),
+      ),
+    ) as { status: number; body: { calendarId?: string } };
+
+    assert.equal(result.status, 201);
+    assert.equal(result.body.calendarId, "cal-1");
+    assert.equal(posts.length, 1);
+    assert.match(posts[0]!.path, /^http:\/\/127\.0\.0\.1:3000\/api\/v1\/events/);
+
+    globalThis.fetch = originalFetch;
+  });
+
+  it("matches calendarName case-insensitively", async () => {
+    const originalFetch = globalThis.fetch;
+
+    globalThis.fetch = (async (input: RequestInfo | URL, init?: RequestInit) => {
+      const url = String(input);
+      if (url.includes("/api/v1/calendars") && (!init?.method || init.method === "GET")) {
+        return Response.json([
+          { id: "cal-1", name: "Family" },
+          { id: "cal-2", name: "Work" },
+        ]);
+      }
+      if (url.includes("/api/v1/events") && init?.method === "POST") {
+        const body = JSON.parse(String(init.body));
+        return Response.json({ id: "evt-1", ...body }, { status: 201 });
+      }
+      return new Response("not found", { status: 404 });
+    }) as typeof fetch;
+
+    const execute = createApiToolExecutor(new Request("http://localhost:3000/api/agent/chat"));
+    const result = JSON.parse(
+      await execute(
+        "create_event",
+        JSON.stringify({
+          calendarName: "work",
+          title: "Standup",
+          startAt: "2026-07-10T15:00:00.000Z",
+          endAt: "2026-07-10T15:30:00.000Z",
+        }),
+      ),
+    ) as { status: number; body: { calendarId?: string } };
+
+    assert.equal(result.status, 201);
+    assert.equal(result.body.calendarId, "cal-2");
+
+    globalThis.fetch = originalFetch;
+  });
+
+  it("returns a clear error when the internal API is unreachable", async () => {
+    const originalFetch = globalThis.fetch;
+    globalThis.fetch = (async () => {
+      throw new TypeError("fetch failed");
+    }) as typeof fetch;
+
+    const execute = createApiToolExecutor(new Request("https://fam.ginnoir.com/api/agent/chat"));
+    const result = JSON.parse(await execute("list_calendars", "{}")) as {
+      status: number;
+      body: { error?: string };
+    };
+
+    assert.equal(result.status, 502);
+    assert.match(String(result.body.error), /unreachable/i);
+
+    globalThis.fetch = originalFetch;
+  });
+});
@@ -0,0 +1,23 @@
+import assert from "node:assert/strict";
+import { describe, it } from "node:test";
+import { transcribeAudioFile } from "../../src/lib/llm/transcribe";
+
+describe("transcribeAudioFile", () => {
+  it("returns mock text when llm base url is unset", async () => {
+    const original = process.env.LLM_BASE_URL;
+    const originalProvider = process.env.LLM_PROVIDER;
+    delete process.env.LLM_BASE_URL;
+    delete process.env.LLM_PROVIDER;
+
+    const text = await transcribeAudioFile(
+      new Blob(["audio"], { type: "audio/wav" }),
+      "recording.wav",
+    );
+    assert.match(text, /milk/i);
+
+    if (original === undefined) delete process.env.LLM_BASE_URL;
+    else process.env.LLM_BASE_URL = original;
+    if (originalProvider === undefined) delete process.env.LLM_PROVIDER;
+    else process.env.LLM_PROVIDER = originalProvider;
+  });
+});
@@ -4,6 +4,7 @@ import {
  clearAssistantChat,
  loadAssistantChat,
  saveAssistantChat,
+  toClientChatMessage,
 } from "../../src/modules/agent/assistant-chat-storage";

 const storage = new Map<string, string>();
@@ -49,4 +50,15 @@ describe("assistant chat storage", () => {
    clearAssistantChat("user-a");
    assert.deepEqual(loadAssistantChat("user-a"), []);
  });
+
+  it("maps stored image messages to client attachments", () => {
+    const message = toClientChatMessage({
+      role: "user",
+      content: "read this",
+      imageUrl: "/api/uploads/assistant/home/photo.jpg",
+    });
+    assert.deepEqual(message.attachments, [
+      { type: "image", url: "/api/uploads/assistant/home/photo.jpg" },
+    ]);
+  });
 });
@@ -0,0 +1,27 @@
+import assert from "node:assert/strict";
+import { describe, it } from "node:test";
+import {
+  DEFAULT_ASSISTANT_NAME,
+  resolveAssistantSystemPrompt,
+} from "../../src/lib/assistant-config";
+import { AGENT_SYSTEM_PROMPT } from "../../src/modules/agent/tools";
+
+describe("resolveAssistantSystemPrompt", () => {
+  it("returns the default prompt when custom is null", () => {
+    assert.equal(resolveAssistantSystemPrompt(null), AGENT_SYSTEM_PROMPT);
+  });
+
+  it("returns the default prompt when custom is blank", () => {
+    assert.equal(resolveAssistantSystemPrompt("   "), AGENT_SYSTEM_PROMPT);
+  });
+
+  it("returns trimmed custom prompt when set", () => {
+    assert.equal(resolveAssistantSystemPrompt("  Be extra cheerful.  "), "Be extra cheerful.");
+  });
+});
+
+describe("DEFAULT_ASSISTANT_NAME", () => {
+  it("is Assistant", () => {
+    assert.equal(DEFAULT_ASSISTANT_NAME, "Assistant");
+  });
+});
@@ -0,0 +1,27 @@
+import assert from "node:assert/strict";
+import { describe, it } from "node:test";
+import { buildVisionContentParts, textFromMessageContent } from "../../src/lib/llm/content";
+
+describe("llm content helpers", () => {
+  it("reads plain string content", () => {
+    assert.equal(textFromMessageContent("hello"), "hello");
+  });
+
+  it("joins text parts from multimodal content", () => {
+    assert.equal(
+      textFromMessageContent([
+        { type: "text", text: "first" },
+        { type: "image_url", image_url: { url: "data:image/png;base64,abc" } },
+        { type: "text", text: "second" },
+      ]),
+      "first\nsecond",
+    );
+  });
+
+  it("builds vision parts with fallback prompt when text is empty", () => {
+    const parts = buildVisionContentParts("", ["data:image/jpeg;base64,abc"]);
+    assert.equal(parts.length, 2);
+    assert.equal(parts[0]?.type, "text");
+    assert.equal(parts[1]?.type, "image_url");
+  });
+});
@@ -0,0 +1,241 @@
+import assert from "node:assert/strict";
+import { describe, it } from "node:test";
+import {
+  isValidAssistantModelRoute,
+  isValidLlmModelId,
+  listLlmModels,
+  normalizeLlmModelsPayload,
+  resolveAssistantModel,
+} from "../../src/lib/llm/models";
+import type { LlmConfig } from "../../src/lib/llm/config";
+
+const openAiConfig: LlmConfig = {
+  provider: "openai",
+  baseUrl: "https://llm.example.test/v1",
+  apiKey: "secret",
+  model: "llama3.2",
+};
+
+describe("normalizeLlmModelsPayload", () => {
+  it("normalizes OpenAI-compatible data arrays", () => {
+    const models = normalizeLlmModelsPayload({
+      data: [{ id: "qwen2.5-coder" }, { id: "llama3.2" }, { id: "qwen2.5-coder" }],
+    });
+
+    assert.deepEqual(models, [
+      { id: "llama3.2", label: "llama3.2" },
+      { id: "qwen2.5-coder", label: "qwen2.5-coder" },
+    ]);
+  });
+
+  it("ignores invalid or empty model rows", () => {
+    const models = normalizeLlmModelsPayload({
+      data: [
+        { id: "" },
+        { id: "   " },
+        { id: "bad model" },
+        { id: " llama3.2 " },
+        { object: "model" },
+      ],
+    });
+
+    assert.deepEqual(models, []);
+  });
+});
+
+describe("isValidLlmModelId", () => {
+  it("accepts common provider model IDs", () => {
+    assert.equal(isValidLlmModelId("llama3.2"), true);
+    assert.equal(isValidLlmModelId("qwen2.5-coder:latest"), true);
+    assert.equal(isValidLlmModelId("hf.co/ginnoir/model-v1"), true);
+  });
+
+  it("rejects empty, whitespace, and overlong model IDs", () => {
+    assert.equal(isValidLlmModelId(""), false);
+    assert.equal(isValidLlmModelId("bad model"), false);
+    assert.equal(isValidLlmModelId("x".repeat(129)), false);
+  });
+});
+
+describe("isValidAssistantModelRoute", () => {
+  it("accepts the supported route families", () => {
+    assert.equal(isValidAssistantModelRoute("auto"), true);
+    assert.equal(isValidAssistantModelRoute("uncensored"), true);
+  });
+
+  it("rejects unsupported or padded route families", () => {
+    assert.equal(isValidAssistantModelRoute("bogus"), false);
+    assert.equal(isValidAssistantModelRoute(" uncensored "), false);
+  });
+});
+
+describe("listLlmModels", () => {
+  it("fetches provider models with API key auth when the fallback is advertised", async () => {
+    const requests: Request[] = [];
+    const result = await listLlmModels({
+      config: openAiConfig,
+      fetchImpl: async (input, init) => {
+        requests.push(new Request(input, init));
+        return Response.json({ data: [{ id: "qwen2.5-coder" }, { id: "llama3.2" }] });
+      },
+    });
+
+    assert.equal(requests[0]?.url, "https://llm.example.test/v1/models");
+    assert.equal(requests[0]?.headers.get("authorization"), "Bearer secret");
+    assert.deepEqual(result.models, [
+      { id: "llama3.2", label: "llama3.2" },
+      { id: "qwen2.5-coder", label: "qwen2.5-coder" },
+    ]);
+    assert.equal(result.fallbackModel, "llama3.2");
+    assert.equal(result.degraded, false);
+  });
+
+  it("falls back to LLM_MODEL when provider discovery fails", async () => {
+    const result = await listLlmModels({
+      config: openAiConfig,
+      fetchImpl: async () => new Response("nope", { status: 500 }),
+    });
+
+    assert.deepEqual(result.models, [{ id: "llama3.2", label: "llama3.2" }]);
+    assert.equal(result.fallbackModel, "llama3.2");
+    assert.equal(result.degraded, true);
+  });
+
+  it("fetches the typed uncensored catalog when uncensored is the selected route", async () => {
+    const requests: Request[] = [];
+    const result = await listLlmModels({
+      config: { ...openAiConfig, model: "auto" },
+      route: "uncensored",
+      fetchImpl: async (input, init) => {
+        requests.push(new Request(input, init));
+        return Response.json({
+          data: [
+            { id: "uncensored" },
+            { id: "gemma4-uncensored:26b" },
+            { id: "dolphin-mistral:latest" },
+          ],
+        });
+      },
+    });
+
+    assert.equal(requests[0]?.url, "https://llm.example.test/v1/models?type=uncensored");
+    assert.deepEqual(result.models, [
+      { id: "dolphin-mistral:latest", label: "dolphin-mistral:latest" },
+      { id: "gemma4-uncensored:26b", label: "gemma4-uncensored:26b" },
+      { id: "uncensored", label: "uncensored" },
+    ]);
+    assert.equal(result.fallbackModel, "uncensored");
+    assert.equal(result.route, "uncensored");
+    assert.equal(result.degraded, false);
+  });
+
+  it("fetches the default catalog when auto is selected over an uncensored deployment default", async () => {
+    const requests: Request[] = [];
+    const result = await listLlmModels({
+      config: { ...openAiConfig, model: "uncensored" },
+      route: "auto",
+      fetchImpl: async (input, init) => {
+        requests.push(new Request(input, init));
+        return Response.json({
+          data: [{ id: "auto" }, { id: "qwen3:8b" }],
+        });
+      },
+    });
+
+    assert.equal(requests[0]?.url, "https://llm.example.test/v1/models");
+    assert.deepEqual(result.models, [
+      { id: "auto", label: "auto" },
+      { id: "qwen3:8b", label: "qwen3:8b" },
+    ]);
+    assert.equal(result.fallbackModel, "auto");
+    assert.equal(result.route, "auto");
+    assert.equal(result.degraded, false);
+  });
+
+  it("uses fallback only for mock provider config", async () => {
+    const result = await listLlmModels({
+      config: { provider: "mock", baseUrl: null, apiKey: null, model: "llama3.2" },
+      fetchImpl: async () => {
+        throw new Error("fetch should not run for mock config");
+      },
+    });
+
+    assert.deepEqual(result.models, [{ id: "llama3.2", label: "llama3.2" }]);
+    assert.equal(result.degraded, false);
+  });
+});
+
+describe("resolveAssistantModel", () => {
+  it("uses a valid requested model before saved and fallback values", () => {
+    const resolved = resolveAssistantModel({
+      requestedModel: "qwen2.5-coder",
+      savedModel: "llama3.2",
+      fallbackModel: "llama3.2",
+      models: [
+        { id: "llama3.2", label: "llama3.2" },
+        { id: "qwen2.5-coder", label: "qwen2.5-coder" },
+      ],
+    });
+
+    assert.deepEqual(resolved, { ok: true, model: "qwen2.5-coder" });
+  });
+
+  it("rejects invalid requested models", () => {
+    const resolved = resolveAssistantModel({
+      requestedModel: "bad model",
+      savedModel: null,
+      fallbackModel: "llama3.2",
+      models: [
+        { id: "llama3.2", label: "llama3.2" },
+        { id: "bad model", label: "bad model" },
+      ],
+    });
+
+    assert.deepEqual(resolved, {
+      ok: false,
+      model: "llama3.2",
+      error: "Invalid assistant model",
+    });
+  });
+
+  it("rejects empty requested models", () => {
+    const resolved = resolveAssistantModel({
+      requestedModel: "",
+      savedModel: null,
+      fallbackModel: "llama3.2",
+      models: [{ id: "llama3.2", label: "llama3.2" }],
+    });
+
+    assert.deepEqual(resolved, {
+      ok: false,
+      model: "llama3.2",
+      error: "Invalid assistant model",
+    });
+  });
+
+  it("rejects unavailable requested models", () => {
+    const resolved = resolveAssistantModel({
+      requestedModel: "missing",
+      savedModel: null,
+      fallbackModel: "llama3.2",
+      models: [{ id: "llama3.2", label: "llama3.2" }],
+    });
+
+    assert.deepEqual(resolved, {
+      ok: false,
+      model: "llama3.2",
+      error: "Invalid assistant model",
+    });
+  });
+
+  it("silently falls back when a saved model is gone", () => {
+    const resolved = resolveAssistantModel({
+      requestedModel: null,
+      savedModel: "old-model",
+      fallbackModel: "llama3.2",
+      models: [{ id: "llama3.2", label: "llama3.2" }],
+    });
+
+    assert.deepEqual(resolved, { ok: true, model: "llama3.2" });
+  });
+});
Author	SHA1	Message	Date
ginnoir	3efbf75179	chore: release v0.6.6 CI / checks (push) Has been skipped Details Release Image / build-and-push (push) Successful in 7m7s Details	2026-07-12 22:18:50 -05:00
ginnoir	b8229eb9b5	fix(garden): add carnivore plant category	2026-07-12 22:18:26 -05:00
ginnoir	7bf4a801b3	chore: release v0.6.5 CI / checks (push) Has been skipped Details Release Image / build-and-push (push) Successful in 7m19s Details	2026-07-09 00:38:50 -05:00
ginnoir	3e8fe2d06d	fix(agent): call api v1 via loopback instead of public url CI / checks (push) Has been cancelled Details Tool self-fetches were hairpinning to fam.ginnoir.com and failing, so list_calendars/create_event returned 500 and the model gave up.	2026-07-09 00:38:33 -05:00
ginnoir	60eb101015	chore: release v0.6.4 CI / checks (push) Has been skipped Details Release Image / build-and-push (push) Successful in 7m30s Details	2026-07-08 22:51:47 -05:00
ginnoir	72d123b9a0	fix(agent): stop tool thrash after writes and log rounds CI / checks (push) Has been cancelled Details Cap get_api_docs, break duplicate tool rounds, force a reply after successful writes, and log each tool call so limit hits are diagnosable.	2026-07-08 22:51:31 -05:00
ginnoir	9bf8e508c7	chore: release v0.6.3 CI / checks (push) Has been skipped Details Release Image / build-and-push (push) Successful in 8m55s Details	2026-07-08 21:41:06 -05:00
ginnoir	d3e79edb9e	fix(agent): raise tool rounds and ease calendar creates CI / checks (push) Has been cancelled Details Local models were burning the 8-round budget on simple event adds. Raise the limit, resolve calendars by name/default, and inject the household clock so relative dates work.	2026-07-08 21:40:44 -05:00
ginnoir	ea371b8085	chore: release v0.6.2 CI / checks (push) Has been skipped Details Release Image / build-and-push (push) Successful in 9m6s Details	2026-07-08 20:46:44 -05:00
ginnoir	c8a7160ef2	chore: ignore local worktrees in checks	2026-07-08 20:46:02 -05:00
ginnoir	49732b02f3	fix(agent): move route selector to settings	2026-07-08 19:58:48 -05:00
ginnoir	ec3f96dab1	feat(agent): let users choose model route	2026-07-08 19:50:46 -05:00
ginnoir	b279f16ba0	feat(agent): refresh assistant model catalog	2026-07-08 19:37:17 -05:00
ginnoir	4dc04b21d6	fix(agent): hide unrelated models for alias fallback	2026-07-08 19:07:57 -05:00
ginnoir	bb679d02be	fix(agent): improve model selector legibility	2026-07-08 18:59:41 -05:00
ginnoir	716bca0fcb	fix(agent): use native model selector	2026-07-08 18:52:19 -05:00
ginnoir	1092941c45	test: stabilize assistant e2e	2026-07-08 17:48:06 -05:00
ginnoir	4c82d551ea	feat(agent): add assistant model selector	2026-07-08 16:46:53 -05:00
ginnoir	27db599444	feat(agent): expose available assistant models	2026-07-08 16:43:22 -05:00
ginnoir	3983c30fe1	fix(agent): reject padded assistant model ids	2026-07-08 16:39:01 -05:00
ginnoir	9b7a04431c	feat(agent): route chat through selected model	2026-07-08 16:34:22 -05:00
ginnoir	bf7e07ead9	feat(agent): persist assistant model preference	2026-07-08 16:24:01 -05:00
ginnoir	876e72671a	fix(agent): validate assistant model requests	2026-07-08 16:15:19 -05:00
ginnoir	0bf63cf8a8	feat(agent): add llm model discovery helper	2026-07-08 16:11:22 -05:00
ginnoir	eb8e562565	docs: plan assistant model selector	2026-07-08 16:05:28 -05:00
ginnoir	1a58ef993e	docs: specify assistant model selector	2026-07-08 15:58:48 -05:00
ginnoir	7c6b8d7c37	ci: install docker buildx plugin for gitea release build CI / checks (push) Failing after 3s Details Debian docker.io ships no buildx plugin, so the registry-cache build failed when the runner CLI fell back to it. Install Docker's official CLI plus buildx plugin instead.	2026-07-05 02:09:41 -05:00
ginnoir	3a5c6d056c	chore: release v0.6.1 CI / checks (push) Has been skipped Details Release Image / build-and-push (push) Failing after 45s Details	2026-07-05 02:02:07 -05:00
ginnoir	c8db5475d3	feat(agent): add voice input and photo attachments to assistant Wire mic through Whisper-compatible transcriptions on LLM_BASE_URL. Photos upload to MinIO and reach the vision model as base64 image_url parts.	2026-07-05 02:01:48 -05:00
ginnoir	876a283d47	ci: faster pipelines with checks-only ci and registry build cache CI / checks (push) Failing after 2m8s Details Drop duplicate Next.js builds from CI, skip release commits, and cancel stale runs. Cache pnpm on runners and use buildx registry cache for releases.	2026-07-04 23:54:53 -05:00
ginnoir	c80070f5c3	ci: skip workflow on docs-only changes CI / checks (push) Failing after 2m15s Details CI / build (push) Failing after 12m59s Details Ignore pushes and PRs that only touch markdown or docs/ so the runner queue stays clear.	2026-07-04 23:40:10 -05:00
ginnoir	a58a91d8b8	chore: release v0.6.0 CI / checks (push) Failing after 3m1s Details CI / build (push) Successful in 5m17s Details Release Image / build-and-push (push) Successful in 6m32s Details	2026-07-04 23:26:40 -05:00
ginnoir	e5e509081c	feat: per-user assistant name and system prompt customization CI / checks (push) Failing after 2m12s Details CI / build (push) Successful in 4m50s Details Each user can rename the AI assistant and edit their own system prompt in Settings.	2026-07-04 23:26:17 -05:00
ginnoir	a2e5eb111d	docs: registry is primary image source, ghcr is backup mirror CI / checks (push) Failing after 2m34s Details CI / build (push) Successful in 4m38s Details	2026-07-04 23:03:56 -05:00
ginnoir	cf50f20714	docs: record v0.5.6 prod deploy and migration repair CI / checks (push) Failing after 2m13s Details CI / build (push) Successful in 4m36s Details	2026-07-04 22:49:34 -05:00
				`@@ -0,0 +1 @@`
				`ALTER TABLE "users" ADD COLUMN "assistant_model" text;`