chore: bump version to 1.3.0

* feat: per-model sampling parameters (temperature, max_tokens, reasoning_effort)

Model sampling parameters were global-only settings applied uniformly to
all models. Different models have fundamentally different requirements
(o-series needs no temperature, Anthropic needs temp=1.0 with thinking,
local models may need different max_tokens). This adds per-model overrides
with global fallback so each model definition can specify its own defaults.

Migration 036 adds nullable temperature, max_tokens, reasoning_effort
columns to model_definitions. NULL inherits the global default from
ConfigStore. The session factory and /model switch command both resolve
per-model override → global fallback consistently.

The admin UI model create/edit modal now has dedicated form fields for
these parameters with client-side validation, a visual section divider,
and per-model override hints in the model table rows.

Removes vestigial model.name and model.context_window global settings
(now handled per-model by the model registry) with startup warnings for
existing config.toml users.

* fix: defensive parsing for config.toml per-model sampling params

Wrap temperature/max_tokens conversions in try/except with range
validation. Invalid values log a warning and fall back to None
(inherit global default) instead of aborting registry load.

.env.example

@@ -20,10 +20,10 @@ TURNSTONE_JWT_SECRET=changeme-to-32-bytes-of-hex
 
 # -- Database ------------------------------------------------------------------
 # Single-node default is SQLite (zero config). Set these for PostgreSQL:
-# DB_BACKEND=postgresql
+# TURNSTONE_DB_BACKEND=postgresql
 # POSTGRES_USER=turnstone
 # POSTGRES_PASSWORD=changeme
-# DATABASE_URL=postgresql+psycopg://turnstone:changeme@postgres:5432/turnstone
+# TURNSTONE_DB_URL=postgresql+psycopg://turnstone:changeme@postgres:5432/turnstone
 
 # -- Ports ---------------------------------------------------------------------
 # SERVER_PORT=8080

.github/workflows/ci.yml

@@ -45,7 +45,7 @@ jobs:
           python-version: ${{ matrix.python-version }}
       - run: pip install -e ".[test]"
       - run: pytest tests/ -m "not live" --cov=turnstone --cov-report=term-missing --cov-report=xml -q
-      - uses: actions/upload-artifact@bbbca2ddaa5d8feaa63e36b76fdaad77386f024f # v7
+      - uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7
         if: always()
         with:
           name: coverage-${{ matrix.python-version }}

.github/workflows/docker-publish.yml

@@ -72,7 +72,7 @@ jobs:
 
       - name: Build and push
         if: steps.tag.outputs.skip == 'false'
-        uses: docker/build-push-action@d08e5c354a6adb9ed34480a06d141179aa583294 # v7
+        uses: docker/build-push-action@bcafcacb16a39f128d818304e6c9c0c18556b85f # v7
         with:
           context: .
           push: true

.github/workflows/publish.yml

@@ -44,12 +44,12 @@ jobs:
         if: steps.tag.outputs.skip == 'false'
       - run: python -m build
         if: steps.tag.outputs.skip == 'false'
-      - uses: pypa/gh-action-pypi-publish@ed0c53931b1dc9bd32cbe73a98c7f6766f8a527e # release/v1
+      - uses: pypa/gh-action-pypi-publish@cef221092ed1bacb1cc03d23a2d87d1d172e277b # release/v1
         if: steps.tag.outputs.skip == 'false'
 
       - name: Create GitHub Release
         if: steps.tag.outputs.skip == 'false'
-        uses: softprops/action-gh-release@153bb8e04406b158c6c84fc1615b65b24149a1fe # v2
+        uses: softprops/action-gh-release@b4309332981a82ec1c5618f44dd2e27cc8bfbfda # v3
         with:
           tag_name: ${{ steps.tag.outputs.tag }}
           generate_release_notes: true

Dockerfile

@@ -8,7 +8,7 @@ FROM python:3.14-slim
 LABEL org.opencontainers.image.title="turnstone" \
       org.opencontainers.image.description="Multi-node AI orchestration platform"
 
-COPY --from=ghcr.io/astral-sh/uv:0.11.3 /uv /usr/local/bin/uv
+COPY --from=ghcr.io/astral-sh/uv:0.11.6 /uv /usr/local/bin/uv
 
 # Remove the slim image's man page exclusion so man-db has actual content
 RUN rm -f /etc/dpkg/dpkg.cfg.d/docker

README.md

@@ -53,6 +53,15 @@ pip install turnstone[console]
 turnstone-console --port 8090
 ```
 
+For PostgreSQL (recommended for production):
+
+```bash
+pip install turnstone[postgres]
+export TURNSTONE_DB_BACKEND=postgresql
+export TURNSTONE_DB_URL="postgresql+psycopg://user:pass@localhost:5432/turnstone"
+turnstone-server --port 8080 --base-url http://localhost:8000/v1
+```
+
 ### Docker
 
 ```bash

compose.yaml

@@ -9,7 +9,7 @@
 # Usage:
 #   Infra only:           docker compose up
 #   Single node:          docker compose --profile production up
-#   Production (PG):      DB_BACKEND=postgresql docker compose --profile production up
+#   Production (PG):      TURNSTONE_DB_BACKEND=postgresql docker compose --profile production up
 #   10-node cluster:      docker compose --profile cluster up
 # =============================================================================
 
@@ -94,8 +94,8 @@ services:
       - TURNSTONE_JWT_SECRET=${TURNSTONE_JWT_SECRET:?Set TURNSTONE_JWT_SECRET in .env}
       - MODEL=${MODEL:-}
       - MCP_CONFIG=${MCP_CONFIG:-}
-      - TURNSTONE_DB_BACKEND=${DB_BACKEND:-sqlite}
-      - TURNSTONE_DB_URL=${DATABASE_URL:-}
+      - TURNSTONE_DB_BACKEND=${TURNSTONE_DB_BACKEND:-sqlite}
+      - TURNSTONE_DB_URL=${TURNSTONE_DB_URL:-}
       - TURNSTONE_NODE_ID=${TURNSTONE_NODE_ID:-}
       - TURNSTONE_ADVERTISE_URL=${TURNSTONE_ADVERTISE_URL:-http://server:8080}
     extra_hosts:
@@ -131,8 +131,8 @@ services:
     environment:
       # Generate with: python -c "import secrets; print(secrets.token_hex(32))"
       - TURNSTONE_JWT_SECRET=${TURNSTONE_JWT_SECRET:?Set TURNSTONE_JWT_SECRET in .env}
-      - TURNSTONE_DB_BACKEND=${DB_BACKEND:-sqlite}
-      - TURNSTONE_DB_URL=${DATABASE_URL:-}
+      - TURNSTONE_DB_BACKEND=${TURNSTONE_DB_BACKEND:-sqlite}
+      - TURNSTONE_DB_URL=${TURNSTONE_DB_URL:-}
       - TURNSTONE_CONSOLE_URL=http://console:8090
     networks:
       - turnstone-net
@@ -165,8 +165,8 @@ services:
       - TURNSTONE_DISCORD_GUILD=${TURNSTONE_DISCORD_GUILD:-0}
       # Generate with: python -c "import secrets; print(secrets.token_hex(32))"
       - TURNSTONE_JWT_SECRET=${TURNSTONE_JWT_SECRET:?Set TURNSTONE_JWT_SECRET in .env}
-      - TURNSTONE_DB_BACKEND=${DB_BACKEND:-postgresql}
-      - TURNSTONE_DB_URL=${DATABASE_URL:-postgresql+psycopg://${POSTGRES_USER:-turnstone}:${POSTGRES_PASSWORD:-turnstone}@postgres:5432/turnstone}
+      - TURNSTONE_DB_BACKEND=${TURNSTONE_DB_BACKEND:-postgresql}
+      - TURNSTONE_DB_URL=${TURNSTONE_DB_URL:-postgresql+psycopg://${POSTGRES_USER:-turnstone}:${POSTGRES_PASSWORD:-turnstone}@postgres:5432/turnstone}
       - TURNSTONE_CHANNEL_ADVERTISE_URL=http://channel:8091
     networks:
       - turnstone-net
@@ -215,8 +215,8 @@ services:
       TURNSTONE_JWT_SECRET: ${TURNSTONE_JWT_SECRET:?Set TURNSTONE_JWT_SECRET in .env}
       MODEL: ${MODEL:-}
       MCP_CONFIG: ${MCP_CONFIG:-}
-      TURNSTONE_DB_BACKEND: ${DB_BACKEND:-postgresql}
-      TURNSTONE_DB_URL: ${DATABASE_URL:-postgresql+psycopg://${POSTGRES_USER:-turnstone}:${POSTGRES_PASSWORD:?}@postgres:5432/turnstone}
+      TURNSTONE_DB_BACKEND: ${TURNSTONE_DB_BACKEND:-postgresql}
+      TURNSTONE_DB_URL: ${TURNSTONE_DB_URL:-postgresql+psycopg://${POSTGRES_USER:-turnstone}:${POSTGRES_PASSWORD:?}@postgres:5432/turnstone}
       TURNSTONE_NODE_ID: node-1
       TURNSTONE_ADVERTISE_URL: http://server-1:8080
     extra_hosts: ["host.docker.internal:host-gateway"]

docs/architecture.md

@@ -696,6 +696,26 @@ agent_model = "claude"
 Each `[models.*]` entry produces a `ModelConfig` with a `provider` field
 (default: `"openai"`). Supported values: `"openai"`, `"anthropic"`, `"google"`,
 and `"openai-compatible"`.
+
+**Per-model sampling overrides:** Each model can specify `temperature`,
+`max_tokens`, and `reasoning_effort` to override the global defaults from
+ConfigStore. When unset (`NULL`), the global default is used.
+
+```toml
+[models.local]
+base_url = "http://localhost:8000/v1"
+model = "qwen3-32b"
+temperature = 0.7
+max_tokens = 8192
+
+[models.o3]
+base_url = "https://api.openai.com/v1"
+api_key = "sk-..."
+model = "o3"
+reasoning_effort = "high"
+# temperature omitted — uses global default
+```
+
 An optional `[models.*.capabilities]` sub-table overrides per-model
 `ModelCapabilities` flags (useful for local models whose capabilities
 cannot be detected programmatically):
@@ -709,9 +729,15 @@ model = "qwen-3.5-vl"
 supports_vision = true
 ```
 
+**Database model definitions:** On server entry points, models can also be
+defined in the `model_definitions` table (admin Models tab). DB models support
+the same per-model sampling overrides. Config.toml models override DB models
+with the same alias in-memory (the DB rows are never modified).
+
 **Lifecycle:**
-1. `load_model_registry()` reads `[models.*]` sections from config.toml and
-   builds a `"default"` entry from CLI `--base-url`/`--model`/`--api-key` args
+1. `load_model_registry()` loads DB model definitions (if storage available),
+   then overlays `[models.*]` from config.toml, then builds a `"default"` entry
+   from CLI `--base-url`/`--model`/`--api-key` args
 2. The registry is passed to the session factory closure in both `cli.py` and
    `server.py`; each workstream resolves its model on creation
 3. `ModelRegistry.get_client()` lazily creates SDK client instances via
@@ -720,7 +746,8 @@ supports_vision = true
 4. `ModelRegistry.get_provider()` lazily creates `LLMProvider` instances via
    `create_provider()` (also cached and thread-safe)
 5. `/model` command shows available models; `/model <alias>` switches the
-   active workstream's client, model, and context window
+   active workstream's client, model, context window, and per-model sampling
+   parameters
 6. `_create_stream_with_retry()` tries the primary model, then each fallback
    alias in order if the primary is unreachable
 7. `_run_agent()` resolves `registry.agent_model` (if set) for plan/task

docs/diagrams/03-core-engine-classes.puml

@@ -295,7 +295,7 @@ class "ModelRegistry" as ModelReg {
     --
     Thread-safe lazy client + provider
     creation. Loaded by load_model_registry()
-    from CLI args + [models.*] config.
+    from DB + [models.*] config + CLI args.
     --
     core/model_registry.py
 }
@@ -306,6 +306,9 @@ class "ModelConfig" as ModelCfg <<frozen>> {
     + base_url: str
     + model: str
     + context_window: int
+    + temperature: float | None
+    + max_tokens: int | None
+    + reasoning_effort: str | None
 }
 
 ' Circuit breaker state

docs/diagrams/png/03-core-engine-classes.png

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6471e611beebf647f3a191eb16588571a404cc52a43067883a2b6f06dd936376
-size 594676
+oid sha256:474b900448ec04d1117b48a2b55614524721b2f04ac4bda66170bd0a06aae0f2
+size 624573

docs/docker.md

@@ -83,11 +83,15 @@ Auth is always enabled. `TURNSTONE_JWT_SECRET` is required.
 | Variable | Default | Description |
 |----------|---------|-------------|
 | `TURNSTONE_DB_BACKEND` | `sqlite` | Storage backend: `sqlite` or `postgresql` |
-| `TURNSTONE_DB_URL` | — | Database URL (e.g. `postgresql://user:pass@db:5432/turnstone`). For SQLite, defaults to `/data/.turnstone.db` |
+| `TURNSTONE_DB_URL` | — | Database URL (e.g. `postgresql+psycopg://user:pass@postgres:5432/turnstone`). For SQLite, defaults to `/data/.turnstone.db` |
 | `TURNSTONE_DB_POOL_SIZE` | `2` | PostgreSQL connection pool size per process (default: 2 base + 3 overflow = 5 max) |
+| `POSTGRES_USER` | `turnstone` | PostgreSQL container username (used in default `TURNSTONE_DB_URL` for cluster/channel) |
+| `POSTGRES_PASSWORD` | — | PostgreSQL container password (required for production and cluster profiles) |
 
 The database stores workstream history, user accounts, and API tokens. When using JWT auth, a database backend is required for user storage.
 
+> **Upgrading from <1.3.0a4:** Earlier versions used `DB_BACKEND` and `DATABASE_URL` in `.env`, which `compose.yaml` mapped to the `TURNSTONE_`-prefixed names internally. These short aliases have been removed. Rename `DB_BACKEND` → `TURNSTONE_DB_BACKEND` and `DATABASE_URL` → `TURNSTONE_DB_URL` in your `.env` file.
+
 > **Large clusters:** Each turnstone process maintains a small connection pool (5 max). At hundreds of nodes this adds up — use [PgBouncer](pgbouncer.md) in transaction pooling mode between turnstone and PostgreSQL.
 
 > **First-time setup:** After deploying with auth enabled, create an initial admin user by running `turnstone-admin create-user` inside the container:

docs/pgbouncer.md

@@ -67,7 +67,7 @@ services:
 ```
 
 Then point turnstone services at PgBouncer instead of PostgreSQL
-directly by changing the `DATABASE_URL` (or `TURNSTONE_DB_URL`):
+directly by changing `TURNSTONE_DB_URL`:
 
 ```bash
 # Before (direct)

docs/settings.md

@@ -36,6 +36,31 @@ users to the admin Settings API.
 
 ---
 
+## Per-Model Sampling Overrides
+
+The global `model.temperature`, `model.max_tokens`, and `model.reasoning_effort`
+settings serve as cluster-wide defaults. Individual models can override these
+via per-model settings in the `model_definitions` table (admin Models tab).
+
+Resolution order for sampling parameters:
+
+| Priority | Source |
+|----------|--------|
+| 1 (highest) | Per-model override (set in Models tab) |
+| 2 | Global default (set in Settings tab) |
+| 3 | Registry default (code) |
+
+When a per-model override is `NULL` (empty in the UI), the global default is
+used. Switching models via `/model <alias>` re-resolves sampling parameters
+from the new model's overrides or global defaults.
+
+**Removed settings:** `model.name` and `model.context_window` have been removed
+from ConfigStore. Model names and context windows are now configured per-model
+in the Models tab. A startup warning is logged if these keys appear in
+`config.toml`.
+
+---
+
 ## Bootstrap vs ConfigStore
 
 **Bootstrap settings** are required before storage is available (database
@@ -49,12 +74,12 @@ connection, Redis, auth secrets, server bind address). These stay in
 | Auth | `[auth]` | config.toml / env |
 | Console bind | `[console]` | config.toml / env |
 
-**ConfigStore settings** (51 settings) are loaded from the database after
-storage initialization:
+**ConfigStore settings** are loaded from the database after storage
+initialization:
 
 | Section | Settings |
 |---------|----------|
-| `model` | name, temperature, max_tokens, reasoning_effort, context_window |
+| `model` | default_alias, temperature, max_tokens, reasoning_effort |
 | `session` | instructions, retention_days, compact_max_tokens, auto_compact_pct |
 | `tools` | timeout, truncation, agent_max_turns, skip_permissions, search, search_threshold, search_max_results |
 | `server` | workstream_idle_timeout, max_workstreams |

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "turnstone"
-version = "1.2.0"
+version = "1.3.0"
 description = "Multi-node AI orchestration platform with tool use, agent routing, and cluster simulation."
 readme = "README.md"
 license = "BUSL-1.1"
@@ -51,7 +51,7 @@ anthropic = ["anthropic>=0.39"]
 postgres = ["psycopg[binary]>=3.2"]
 ddg = ["ddgs>=9.0"]
 discord = ["discord.py>=2.4"]
-tls = ["lacme>=1.0.4"]
+tls = ["lacme>=1.0.5"]
 sandbox = ["sympy>=1.13", "numpy>=2.0", "scipy>=1.14", "pytest>=9.0"]
 all = ["turnstone[console,anthropic,postgres,discord,ddg,tls,sandbox]"]
 

sdk/typescript/package-lock.json

@@ -20,7 +20,6 @@
       "dev": true,
       "license": "MIT",
       "optional": true,
-      "peer": true,
       "dependencies": {
         "@emnapi/wasi-threads": "1.2.1",
         "tslib": "^2.4.0"
@@ -33,7 +32,6 @@
       "dev": true,
       "license": "MIT",
       "optional": true,
-      "peer": true,
       "dependencies": {
         "tslib": "^2.4.0"
       }
@@ -45,7 +43,6 @@
       "dev": true,
       "license": "MIT",
       "optional": true,
-      "peer": true,
       "dependencies": {
         "tslib": "^2.4.0"
       }
@@ -58,9 +55,9 @@
       "license": "MIT"
     },
     "node_modules/@napi-rs/wasm-runtime": {
-      "version": "1.1.2",
-      "resolved": "https://registry.npmjs.org/@napi-rs/wasm-runtime/-/wasm-runtime-1.1.2.tgz",
-      "integrity": "sha512-sNXv5oLJ7ob93xkZ1XnxisYhGYXfaG9f65/ZgYuAu3qt7b3NadcOEhLvx28hv31PgX8SZJRYrAIPQilQmFpLVw==",
+      "version": "1.1.3",
+      "resolved": "https://registry.npmjs.org/@napi-rs/wasm-runtime/-/wasm-runtime-1.1.3.tgz",
+      "integrity": "sha512-xK9sGVbJWYb08+mTJt3/YV24WxvxpXcXtP6B172paPZ+Ts69Re9dAr7lKwJoeIx8OoeuimEiRZ7umkiUVClmmQ==",
       "dev": true,
       "license": "MIT",
       "optional": true,
@@ -77,9 +74,9 @@
       }
     },
     "node_modules/@oxc-project/types": {
-      "version": "0.122.0",
-      "resolved": "https://registry.npmjs.org/@oxc-project/types/-/types-0.122.0.tgz",
-      "integrity": "sha512-oLAl5kBpV4w69UtFZ9xqcmTi+GENWOcPF7FCrczTiBbmC0ibXxCwyvZGbO39rCVEuLGAZM84DH0pUIyyv/YJzA==",
+      "version": "0.124.0",
+      "resolved": "https://registry.npmjs.org/@oxc-project/types/-/types-0.124.0.tgz",
+      "integrity": "sha512-VBFWMTBvHxS11Z5Lvlr3IWgrwhMTXV+Md+EQF0Xf60+wAdsGFTBx7X7K/hP4pi8N7dcm1RvcHwDxZ16Qx8keUg==",
       "dev": true,
       "license": "MIT",
       "funding": {
@@ -87,9 +84,9 @@
       }
     },
     "node_modules/@rolldown/binding-android-arm64": {
-      "version": "1.0.0-rc.12",
-      "resolved": "https://registry.npmjs.org/@rolldown/binding-android-arm64/-/binding-android-arm64-1.0.0-rc.12.tgz",
-      "integrity": "sha512-pv1y2Fv0JybcykuiiD3qBOBdz6RteYojRFY1d+b95WVuzx211CRh+ytI/+9iVyWQ6koTh5dawe4S/yRfOFjgaA==",
+      "version": "1.0.0-rc.15",
+      "resolved": "https://registry.npmjs.org/@rolldown/binding-android-arm64/-/binding-android-arm64-1.0.0-rc.15.tgz",
+      "integrity": "sha512-YYe6aWruPZDtHNpwu7+qAHEMbQ/yRl6atqb/AhznLTnD3UY99Q1jE7ihLSahNWkF4EqRPVC4SiR4O0UkLK02tA==",
       "cpu": [
         "arm64"
       ],
@@ -104,9 +101,9 @@
       }
     },
     "node_modules/@rolldown/binding-darwin-arm64": {
-      "version": "1.0.0-rc.12",
-      "resolved": "https://registry.npmjs.org/@rolldown/binding-darwin-arm64/-/binding-darwin-arm64-1.0.0-rc.12.tgz",
-      "integrity": "sha512-cFYr6zTG/3PXXF3pUO+umXxt1wkRK/0AYT8lDwuqvRC+LuKYWSAQAQZjCWDQpAH172ZV6ieYrNnFzVVcnSflAg==",
+      "version": "1.0.0-rc.15",
+      "resolved": "https://registry.npmjs.org/@rolldown/binding-darwin-arm64/-/binding-darwin-arm64-1.0.0-rc.15.tgz",
+      "integrity": "sha512-oArR/ig8wNTPYsXL+Mzhs0oxhxfuHRfG7Ikw7jXsw8mYOtk71W0OkF2VEVh699pdmzjPQsTjlD1JIOoHkLP1Fg==",
       "cpu": [
         "arm64"
       ],
@@ -121,9 +118,9 @@
       }
     },
     "node_modules/@rolldown/binding-darwin-x64": {
-      "version": "1.0.0-rc.12",
-      "resolved": "https://registry.npmjs.org/@rolldown/binding-darwin-x64/-/binding-darwin-x64-1.0.0-rc.12.tgz",
-      "integrity": "sha512-ZCsYknnHzeXYps0lGBz8JrF37GpE9bFVefrlmDrAQhOEi4IOIlcoU1+FwHEtyXGx2VkYAvhu7dyBf75EJQffBw==",
+      "version": "1.0.0-rc.15",
+      "resolved": "https://registry.npmjs.org/@rolldown/binding-darwin-x64/-/binding-darwin-x64-1.0.0-rc.15.tgz",
+      "integrity": "sha512-YzeVqOqjPYvUbJSWJ4EDL8ahbmsIXQpgL3JVipmN+MX0XnXMeWomLN3Fb+nwCmP/jfyqte5I3XRSm7OfQrbyxw==",
       "cpu": [
         "x64"
       ],
@@ -138,9 +135,9 @@
       }
     },
     "node_modules/@rolldown/binding-freebsd-x64": {
-      "version": "1.0.0-rc.12",
-      "resolved": "https://registry.npmjs.org/@rolldown/binding-freebsd-x64/-/binding-freebsd-x64-1.0.0-rc.12.tgz",
-      "integrity": "sha512-dMLeprcVsyJsKolRXyoTH3NL6qtsT0Y2xeuEA8WQJquWFXkEC4bcu1rLZZSnZRMtAqwtrF/Ib9Ddtpa/Gkge9Q==",
+      "version": "1.0.0-rc.15",
+      "resolved": "https://registry.npmjs.org/@rolldown/binding-freebsd-x64/-/binding-freebsd-x64-1.0.0-rc.15.tgz",
+      "integrity": "sha512-9Erhx956jeQ0nNTyif1+QWAXDRD38ZNjr//bSHrt6wDwB+QkAfl2q6Mn1k6OBPerznjRmbM10lgRb1Pli4xZPw==",
       "cpu": [
         "x64"
       ],
@@ -155,9 +152,9 @@
       }
     },
     "node_modules/@rolldown/binding-linux-arm-gnueabihf": {
-      "version": "1.0.0-rc.12",
-      "resolved": "https://registry.npmjs.org/@rolldown/binding-linux-arm-gnueabihf/-/binding-linux-arm-gnueabihf-1.0.0-rc.12.tgz",
-      "integrity": "sha512-YqWjAgGC/9M1lz3GR1r1rP79nMgo3mQiiA+Hfo+pvKFK1fAJ1bCi0ZQVh8noOqNacuY1qIcfyVfP6HoyBRZ85Q==",
+      "version": "1.0.0-rc.15",
+      "resolved": "https://registry.npmjs.org/@rolldown/binding-linux-arm-gnueabihf/-/binding-linux-arm-gnueabihf-1.0.0-rc.15.tgz",
+      "integrity": "sha512-cVwk0w8QbZJGTnP/AHQBs5yNwmpgGYStL88t4UIaqcvYJWBfS0s3oqVLZPwsPU6M0zlW4GqjP0Zq5MnAGwFeGA==",
       "cpu": [
         "arm"
       ],
@@ -172,13 +169,16 @@
       }
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     "node_modules/@rolldown/binding-linux-arm64-gnu": {
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-        "@rolldown/binding-darwin-x64": "1.0.0-rc.12",
-        "@rolldown/binding-freebsd-x64": "1.0.0-rc.12",
-        "@rolldown/binding-linux-arm-gnueabihf": "1.0.0-rc.12",
-        "@rolldown/binding-linux-arm64-gnu": "1.0.0-rc.12",
-        "@rolldown/binding-linux-arm64-musl": "1.0.0-rc.12",
-        "@rolldown/binding-linux-ppc64-gnu": "1.0.0-rc.12",
-        "@rolldown/binding-linux-s390x-gnu": "1.0.0-rc.12",
-        "@rolldown/binding-linux-x64-gnu": "1.0.0-rc.12",
-        "@rolldown/binding-linux-x64-musl": "1.0.0-rc.12",
-        "@rolldown/binding-openharmony-arm64": "1.0.0-rc.12",
-        "@rolldown/binding-wasm32-wasi": "1.0.0-rc.12",
-        "@rolldown/binding-win32-arm64-msvc": "1.0.0-rc.12",
-        "@rolldown/binding-win32-x64-msvc": "1.0.0-rc.12"
+        "@rolldown/binding-android-arm64": "1.0.0-rc.15",
+        "@rolldown/binding-darwin-arm64": "1.0.0-rc.15",
+        "@rolldown/binding-darwin-x64": "1.0.0-rc.15",
+        "@rolldown/binding-freebsd-x64": "1.0.0-rc.15",
+        "@rolldown/binding-linux-arm-gnueabihf": "1.0.0-rc.15",
+        "@rolldown/binding-linux-arm64-gnu": "1.0.0-rc.15",
+        "@rolldown/binding-linux-arm64-musl": "1.0.0-rc.15",
+        "@rolldown/binding-linux-ppc64-gnu": "1.0.0-rc.15",
+        "@rolldown/binding-linux-s390x-gnu": "1.0.0-rc.15",
+        "@rolldown/binding-linux-x64-gnu": "1.0.0-rc.15",
+        "@rolldown/binding-linux-x64-musl": "1.0.0-rc.15",
+        "@rolldown/binding-openharmony-arm64": "1.0.0-rc.15",
+        "@rolldown/binding-wasm32-wasi": "1.0.0-rc.15",
+        "@rolldown/binding-win32-arm64-msvc": "1.0.0-rc.15",
+        "@rolldown/binding-win32-x64-msvc": "1.0.0-rc.15"
       }
     },
     "node_modules/siginfo": {
@@ -1031,9 +1060,9 @@
       "license": "MIT"
     },
     "node_modules/tinyexec": {
-      "version": "1.0.4",
-      "resolved": "https://registry.npmjs.org/tinyexec/-/tinyexec-1.0.4.tgz",
-      "integrity": "sha512-u9r3uZC0bdpGOXtlxUIdwf9pkmvhqJdrVCH9fapQtgy/OeTTMZ1nqH7agtvEfmGui6e1XxjcdrlxvxJvc3sMqw==",
+      "version": "1.1.1",
+      "resolved": "https://registry.npmjs.org/tinyexec/-/tinyexec-1.1.1.tgz",
+      "integrity": "sha512-VKS/ZaQhhkKFMANmAOhhXVoIfBXblQxGX1myCQ2faQrfmobMftXeJPcZGp0gS07ocvGJWDLZGyOZDadDBqYIJg==",
       "dev": true,
       "license": "MIT",
       "engines": {
@@ -1041,14 +1070,14 @@
       }
     },
     "node_modules/tinyglobby": {
-      "version": "0.2.15",
-      "resolved": "https://registry.npmjs.org/tinyglobby/-/tinyglobby-0.2.15.tgz",
-      "integrity": "sha512-j2Zq4NyQYG5XMST4cbs02Ak8iJUdxRM0XI5QyxXuZOzKOINmWurp3smXu3y5wDcJrptwpSjgXHzIQxR0omXljQ==",
+      "version": "0.2.16",
+      "resolved": "https://registry.npmjs.org/tinyglobby/-/tinyglobby-0.2.16.tgz",
+      "integrity": "sha512-pn99VhoACYR8nFHhxqix+uvsbXineAasWm5ojXoN8xEwK5Kd3/TrhNn1wByuD52UxWRLy8pu+kRMniEi6Eq9Zg==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
         "fdir": "^6.5.0",
-        "picomatch": "^4.0.3"
+        "picomatch": "^4.0.4"
       },
       "engines": {
         "node": ">=12.0.0"
@@ -1090,16 +1119,16 @@
       }
     },
     "node_modules/vite": {
-      "version": "8.0.5",
-      "resolved": "https://registry.npmjs.org/vite/-/vite-8.0.5.tgz",
-      "integrity": "sha512-nmu43Qvq9UopTRfMx2jOYW5l16pb3iDC1JH6yMuPkpVbzK0k+L7dfsEDH4jRgYFmsg0sTAqkojoZgzLMlwHsCQ==",
+      "version": "8.0.8",
+      "resolved": "https://registry.npmjs.org/vite/-/vite-8.0.8.tgz",
+      "integrity": "sha512-dbU7/iLVa8KZALJyLOBOQ88nOXtNG8vxKuOT4I2mD+Ya70KPceF4IAmDsmU0h1Qsn5bPrvsY9HJstCRh3hG6Uw==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
         "lightningcss": "^1.32.0",
         "picomatch": "^4.0.4",
         "postcss": "^8.5.8",
-        "rolldown": "1.0.0-rc.12",
+        "rolldown": "1.0.0-rc.15",
         "tinyglobby": "^0.2.15"
       },
       "bin": {
@@ -1168,19 +1197,19 @@
       }
     },
     "node_modules/vitest": {
-      "version": "4.1.2",
-      "resolved": "https://registry.npmjs.org/vitest/-/vitest-4.1.2.tgz",
-      "integrity": "sha512-xjR1dMTVHlFLh98JE3i/f/WePqJsah4A0FK9cc8Ehp9Udk0AZk6ccpIZhh1qJ/yxVWRZ+Q54ocnD8TXmkhspGg==",
+      "version": "4.1.4",
+      "resolved": "https://registry.npmjs.org/vitest/-/vitest-4.1.4.tgz",
+      "integrity": "sha512-tFuJqTxKb8AvfyqMfnavXdzfy3h3sWZRWwfluGbkeR7n0HUev+FmNgZ8SDrRBTVrVCjgH5cA21qGbCffMNtWvg==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
-        "@vitest/expect": "4.1.2",
-        "@vitest/mocker": "4.1.2",
-        "@vitest/pretty-format": "4.1.2",
-        "@vitest/runner": "4.1.2",
-        "@vitest/snapshot": "4.1.2",
-        "@vitest/spy": "4.1.2",
-        "@vitest/utils": "4.1.2",
+        "@vitest/expect": "4.1.4",
+        "@vitest/mocker": "4.1.4",
+        "@vitest/pretty-format": "4.1.4",
+        "@vitest/runner": "4.1.4",
+        "@vitest/snapshot": "4.1.4",
+        "@vitest/spy": "4.1.4",
+        "@vitest/utils": "4.1.4",
         "es-module-lexer": "^2.0.0",
         "expect-type": "^1.3.0",
         "magic-string": "^0.30.21",
@@ -1208,10 +1237,12 @@
         "@edge-runtime/vm": "*",
         "@opentelemetry/api": "^1.9.0",
         "@types/node": "^20.0.0 || ^22.0.0 || >=24.0.0",
-        "@vitest/browser-playwright": "4.1.2",
-        "@vitest/browser-preview": "4.1.2",
-        "@vitest/browser-webdriverio": "4.1.2",
-        "@vitest/ui": "4.1.2",
+        "@vitest/browser-playwright": "4.1.4",
+        "@vitest/browser-preview": "4.1.4",
+        "@vitest/browser-webdriverio": "4.1.4",
+        "@vitest/coverage-istanbul": "4.1.4",
+        "@vitest/coverage-v8": "4.1.4",
+        "@vitest/ui": "4.1.4",
         "happy-dom": "*",
         "jsdom": "*",
         "vite": "^6.0.0 || ^7.0.0 || ^8.0.0"
@@ -1235,6 +1266,12 @@
         "@vitest/browser-webdriverio": {
           "optional": true
         },
+        "@vitest/coverage-istanbul": {
+          "optional": true
+        },
+        "@vitest/coverage-v8": {
+          "optional": true
+        },
         "@vitest/ui": {
           "optional": true
         },

tests/test_config_store.py

@@ -87,8 +87,8 @@ class TestSetGetRoundTrip:
         assert store.get("tools.skip_permissions") is False
 
     def test_str(self, store):
-        store.set("model.name", "gpt-5")
-        assert store.get("model.name") == "gpt-5"
+        store.set("model.default_alias", "gpt5-prod")
+        assert store.get("model.default_alias") == "gpt5-prod"
 
 
 # ---------------------------------------------------------------------------
@@ -165,10 +165,10 @@ class TestStoredKeys:
         assert store.stored_keys() == frozenset()
         store.set("tools.timeout", 30)
         assert store.stored_keys() == frozenset({"tools.timeout"})
-        store.set("model.name", "gpt-5")
-        assert store.stored_keys() == frozenset({"tools.timeout", "model.name"})
+        store.set("model.default_alias", "gpt5-prod")
+        assert store.stored_keys() == frozenset({"tools.timeout", "model.default_alias"})
         store.delete("tools.timeout")
-        assert store.stored_keys() == frozenset({"model.name"})
+        assert store.stored_keys() == frozenset({"model.default_alias"})
 
 
 # ---------------------------------------------------------------------------

tests/test_model_definition_storage.py

@@ -161,3 +161,54 @@ class TestModelDefinitionStorage:
         assert m["capabilities"] == "{}"
         assert m["enabled"] is True
         assert m["created_by"] == ""
+        # Per-model sampling params default to None (use global default)
+        assert m["temperature"] is None
+        assert m["max_tokens"] is None
+        assert m["reasoning_effort"] is None
+
+    def test_create_with_sampling_params(self, db: SQLiteBackend) -> None:
+        did = _make_id()
+        db.create_model_definition(
+            definition_id=did,
+            alias="sampling",
+            model="gpt-5",
+            temperature=0.7,
+            max_tokens=8192,
+            reasoning_effort="high",
+        )
+        m = db.get_model_definition(did)
+        assert m is not None
+        assert m["temperature"] == 0.7
+        assert m["max_tokens"] == 8192
+        assert m["reasoning_effort"] == "high"
+
+    def test_create_with_zero_temperature(self, db: SQLiteBackend) -> None:
+        """temperature=0.0 is a valid override, distinct from None."""
+        did = _make_id()
+        db.create_model_definition(
+            definition_id=did, alias="zero-temp", model="o3", temperature=0.0
+        )
+        m = db.get_model_definition(did)
+        assert m is not None
+        assert m["temperature"] == 0.0
+
+    def test_update_sampling_params(self, db: SQLiteBackend) -> None:
+        did = _make_id()
+        db.create_model_definition(definition_id=did, alias="upd-samp", model="gpt-5")
+        db.update_model_definition(did, temperature=1.2, max_tokens=4096, reasoning_effort="low")
+        m = db.get_model_definition(did)
+        assert m is not None
+        assert m["temperature"] == 1.2
+        assert m["max_tokens"] == 4096
+        assert m["reasoning_effort"] == "low"
+
+    def test_clear_sampling_params(self, db: SQLiteBackend) -> None:
+        """Setting sampling params to None clears them back to global default."""
+        did = _make_id()
+        db.create_model_definition(
+            definition_id=did, alias="clear-samp", model="gpt-5", temperature=0.9
+        )
+        db.update_model_definition(did, temperature=None)
+        m = db.get_model_definition(did)
+        assert m is not None
+        assert m["temperature"] is None

tests/test_model_registry.py

@@ -51,6 +51,31 @@ class TestModelConfig:
         cfg = ModelConfig(alias="test", base_url="http://x", api_key="sk-secret-key", model="m")
         assert "sk-secret-key" not in repr(cfg)
 
+    def test_sampling_params_default_none(self) -> None:
+        cfg = ModelConfig(alias="x", base_url="x", api_key="x", model="x")
+        assert cfg.temperature is None
+        assert cfg.max_tokens is None
+        assert cfg.reasoning_effort is None
+
+    def test_sampling_params_set(self) -> None:
+        cfg = ModelConfig(
+            alias="x",
+            base_url="x",
+            api_key="x",
+            model="x",
+            temperature=0.7,
+            max_tokens=8192,
+            reasoning_effort="high",
+        )
+        assert cfg.temperature == 0.7
+        assert cfg.max_tokens == 8192
+        assert cfg.reasoning_effort == "high"
+
+    def test_zero_temperature_distinct_from_none(self) -> None:
+        cfg = ModelConfig(alias="x", base_url="x", api_key="x", model="x", temperature=0.0)
+        assert cfg.temperature == 0.0
+        assert cfg.temperature is not None
+
 
 # ---------------------------------------------------------------------------
 # ModelRegistry
@@ -483,6 +508,58 @@ class TestLoadModelRegistryWithDB:
             reg = load_model_registry("http://x/v1", "x", "x", storage=storage)
         assert reg.get_config("caps-model").capabilities == {"supports_vision": True}
 
+    def test_db_sampling_params_loaded(self) -> None:
+        """Per-model sampling params from DB are carried in ModelConfig."""
+        storage = _MockStorage(
+            [
+                {
+                    "alias": "hot-model",
+                    "model": "m",
+                    "provider": "openai",
+                    "base_url": "",
+                    "api_key": "",
+                    "context_window": 32768,
+                    "capabilities": "{}",
+                    "enabled": True,
+                    "temperature": 1.5,
+                    "max_tokens": 4096,
+                    "reasoning_effort": "high",
+                }
+            ]
+        )
+        with patch("turnstone.core.model_registry.load_config", return_value={}):
+            reg = load_model_registry("http://x/v1", "x", "x", storage=storage)
+        cfg = reg.get_config("hot-model")
+        assert cfg.temperature == 1.5
+        assert cfg.max_tokens == 4096
+        assert cfg.reasoning_effort == "high"
+
+    def test_db_sampling_params_null_means_none(self) -> None:
+        """NULL sampling params in DB map to None (use global default)."""
+        storage = _MockStorage(
+            [
+                {
+                    "alias": "null-model",
+                    "model": "m",
+                    "provider": "openai",
+                    "base_url": "",
+                    "api_key": "",
+                    "context_window": 32768,
+                    "capabilities": "{}",
+                    "enabled": True,
+                    "temperature": None,
+                    "max_tokens": None,
+                    "reasoning_effort": None,
+                }
+            ]
+        )
+        with patch("turnstone.core.model_registry.load_config", return_value={}):
+            reg = load_model_registry("http://x/v1", "x", "x", storage=storage)
+        cfg = reg.get_config("null-model")
+        assert cfg.temperature is None
+        assert cfg.max_tokens is None
+        assert cfg.reasoning_effort is None
+
     def test_db_default_alias_not_clobbered(self) -> None:
         """DB model with alias='default' is not overwritten by CLI args."""
         storage = _MockStorage(
@@ -688,6 +765,45 @@ class TestSessionModelCommand:
         assert session.context_window == 64000
         assert "Switched to" in session.ui.infos[-1]
 
+    def test_model_switch_applies_sampling_params(self) -> None:
+        reg = ModelRegistry(
+            models={
+                "default": ModelConfig("default", "x", "x", "default-model"),
+                "hot": ModelConfig(
+                    "hot",
+                    "y",
+                    "y",
+                    "hot-model",
+                    temperature=1.5,
+                    max_tokens=2048,
+                    reasoning_effort="high",
+                ),
+            },
+            default="default",
+        )
+        session = _make_session(registry=reg, model_alias="default")
+        assert session.temperature == 0.5  # initial global default
+        session.handle_command("/model hot")
+        assert session.temperature == 1.5
+        assert session.max_tokens == 2048
+        assert session.reasoning_effort == "high"
+
+    def test_model_switch_none_params_reverts_to_global(self) -> None:
+        """Switching to a model with no overrides reverts to global defaults."""
+        reg = ModelRegistry(
+            models={
+                "hot": ModelConfig("hot", "x", "x", "hot-model", temperature=1.5),
+                "plain": ModelConfig("plain", "y", "y", "plain-model"),
+            },
+            default="hot",
+        )
+        session = _make_session(registry=reg, model_alias="hot")
+        session.temperature = 1.5  # as set by per-model override
+        # Without a config_store, fallback keeps current value (CLI sessions).
+        # With a config_store, it would revert to the global default.
+        session.handle_command("/model plain")
+        assert session.temperature == 1.5  # no config_store → keeps current
+
     def test_model_switch_unknown_alias(self) -> None:
         reg = ModelRegistry(
             models={"default": ModelConfig("default", "x", "x", "test-model")},

tests/test_providers.py

@@ -128,6 +128,8 @@ def _anthropic_event(
         if "usage_input_tokens" in kwargs:
             msg_usage = MagicMock()
             msg_usage.input_tokens = kwargs.get("usage_input_tokens", 0)
+            msg_usage.cache_creation_input_tokens = 0
+            msg_usage.cache_read_input_tokens = 0
             msg.usage = msg_usage
         else:
             msg.usage = None
@@ -176,6 +178,217 @@ class TestOpenAIProvider:
         sanitize_messages([original])
         assert original["content"] is None
 
+    # -- sanitize_messages: orphan detection -----------------------------------
+
+    def test_sanitize_orphaned_tool_call_synthesized(self) -> None:
+        """Tool_call with no matching tool result gets a synthetic error result."""
+        msgs = [
+            {
+                "role": "assistant",
+                "content": None,
+                "tool_calls": [
+                    {
+                        "id": "call_1",
+                        "type": "function",
+                        "function": {"name": "bash", "arguments": "{}"},
+                    },
+                ],
+            },
+            {"role": "user", "content": "next"},
+        ]
+        result = sanitize_messages(msgs)
+        assert len(result) == 3
+        assert result[1]["role"] == "tool"
+        assert result[1]["tool_call_id"] == "call_1"
+        assert "cancelled" in result[1]["content"]
+        assert result[2]["role"] == "user"
+
+    def test_sanitize_partial_results(self) -> None:
+        """Only the missing tool_call gets a synthetic result."""
+        msgs = [
+            {
+                "role": "assistant",
+                "content": None,
+                "tool_calls": [
+                    {
+                        "id": "call_1",
+                        "type": "function",
+                        "function": {"name": "a", "arguments": "{}"},
+                    },
+                    {
+                        "id": "call_2",
+                        "type": "function",
+                        "function": {"name": "b", "arguments": "{}"},
+                    },
+                ],
+            },
+            {"role": "tool", "tool_call_id": "call_1", "content": "ok"},
+        ]
+        result = sanitize_messages(msgs)
+        assert len(result) == 3
+        assert result[1]["tool_call_id"] == "call_1"
+        assert result[1]["content"] == "ok"
+        assert result[2]["role"] == "tool"
+        assert result[2]["tool_call_id"] == "call_2"
+        assert "cancelled" in result[2]["content"]
+
+    def test_sanitize_complete_results_unchanged(self) -> None:
+        """All tool_calls paired → no changes."""
+        msgs = [
+            {
+                "role": "assistant",
+                "content": None,
+                "tool_calls": [
+                    {
+                        "id": "call_1",
+                        "type": "function",
+                        "function": {"name": "a", "arguments": "{}"},
+                    },
+                ],
+            },
+            {"role": "tool", "tool_call_id": "call_1", "content": "ok"},
+            {"role": "user", "content": "thanks"},
+        ]
+        result = sanitize_messages(msgs)
+        assert len(result) == 3
+        assert result[0]["tool_calls"][0]["id"] == "call_1"
+        assert result[1]["content"] == "ok"
+        assert result[2]["role"] == "user"
+
+    def test_sanitize_trailing_orphan(self) -> None:
+        """Orphaned tool_call at end of conversation (no following messages)."""
+        msgs = [
+            {
+                "role": "assistant",
+                "content": None,
+                "tool_calls": [
+                    {
+                        "id": "call_1",
+                        "type": "function",
+                        "function": {"name": "a", "arguments": "{}"},
+                    },
+                ],
+            },
+        ]
+        result = sanitize_messages(msgs)
+        assert len(result) == 2
+        assert result[1]["role"] == "tool"
+        assert result[1]["tool_call_id"] == "call_1"
+
+    def test_sanitize_orphaned_tool_result_dropped(self) -> None:
+        """Tool result with no matching tool_call in preceding assistant → dropped."""
+        msgs = [
+            {
+                "role": "assistant",
+                "content": None,
+                "tool_calls": [
+                    {
+                        "id": "call_1",
+                        "type": "function",
+                        "function": {"name": "a", "arguments": "{}"},
+                    },
+                ],
+            },
+            {"role": "tool", "tool_call_id": "call_1", "content": "ok"},
+            {"role": "tool", "tool_call_id": "call_ORPHAN", "content": "stale"},
+        ]
+        result = sanitize_messages(msgs)
+        assert len(result) == 2
+        assert result[1]["tool_call_id"] == "call_1"
+
+    def test_sanitize_empty_tool_call_id_filled(self) -> None:
+        """Empty tool_call IDs get synthetic values; tool results are remapped to match."""
+        msgs = [
+            {
+                "role": "assistant",
+                "content": None,
+                "tool_calls": [
+                    {"id": "", "type": "function", "function": {"name": "a", "arguments": "{}"}},
+                ],
+            },
+            {"role": "tool", "tool_call_id": "", "content": "ok"},
+        ]
+        result = sanitize_messages(msgs)
+        new_id = result[0]["tool_calls"][0]["id"]
+        assert new_id.startswith("call_")
+        assert len(new_id) > 10
+        # Tool result must have been remapped to match
+        assert result[1]["tool_call_id"] == new_id
+        # No synthetic result needed — the pairing is complete
+        assert len(result) == 2
+
+    def test_sanitize_stale_result_with_orphan(self) -> None:
+        """Stale tool results are dropped even when orphaned calls are present."""
+        msgs = [
+            {
+                "role": "assistant",
+                "content": None,
+                "tool_calls": [
+                    {
+                        "id": "call_1",
+                        "type": "function",
+                        "function": {"name": "a", "arguments": "{}"},
+                    },
+                    {
+                        "id": "call_2",
+                        "type": "function",
+                        "function": {"name": "b", "arguments": "{}"},
+                    },
+                ],
+            },
+            {"role": "tool", "tool_call_id": "call_1", "content": "ok"},
+            {"role": "tool", "tool_call_id": "call_STALE", "content": "stale"},
+        ]
+        result = sanitize_messages(msgs)
+        result_tc_ids = [m["tool_call_id"] for m in result if m.get("role") == "tool"]
+        assert "call_STALE" not in result_tc_ids
+        assert "call_1" in result_tc_ids
+        assert "call_2" in result_tc_ids  # synthesized
+
+    def test_sanitize_orphan_no_mutation(self) -> None:
+        """Original messages and dicts are not mutated by orphan detection."""
+        tc = {"id": "", "type": "function", "function": {"name": "a", "arguments": "{}"}}
+        msg = {"role": "assistant", "content": None, "tool_calls": [tc]}
+        sanitize_messages([msg])
+        assert tc["id"] == ""  # original dict untouched
+        assert msg["tool_calls"][0]["id"] == ""
+
+    def test_sanitize_repeated_ids_across_turns(self) -> None:
+        """Reused tool_call IDs across turns are handled per-turn, not globally."""
+        msgs = [
+            # Turn 1: call_1 fully paired
+            {"role": "user", "content": "do A"},
+            {
+                "role": "assistant",
+                "content": None,
+                "tool_calls": [
+                    {
+                        "id": "call_1",
+                        "type": "function",
+                        "function": {"name": "a", "arguments": "{}"},
+                    },
+                ],
+            },
+            {"role": "tool", "tool_call_id": "call_1", "content": "ok"},
+            # Turn 2: reuses call_1 but has no result → must be synthesized
+            {"role": "user", "content": "do B"},
+            {
+                "role": "assistant",
+                "content": None,
+                "tool_calls": [
+                    {
+                        "id": "call_1",
+                        "type": "function",
+                        "function": {"name": "b", "arguments": "{}"},
+                    },
+                ],
+            },
+        ]
+        result = sanitize_messages(msgs)
+        # Turn 2's orphaned call_1 should get a synthetic result
+        tool_msgs = [m for m in result if m.get("role") == "tool"]
+        assert len(tool_msgs) == 2  # one real from turn 1, one synthetic from turn 2
+
     # -- convert_tools --------------------------------------------------------
 
     def test_convert_tools_passthrough(self) -> None:
@@ -637,6 +850,8 @@ class TestAnthropicProvider:
         response.usage = MagicMock()
         response.usage.input_tokens = 10
         response.usage.output_tokens = 5
+        response.usage.cache_creation_input_tokens = 0
+        response.usage.cache_read_input_tokens = 0
 
         client = MagicMock()
         stream_ctx = MagicMock()
@@ -673,6 +888,8 @@ class TestAnthropicProvider:
         response.usage = MagicMock()
         response.usage.input_tokens = 15
         response.usage.output_tokens = 20
+        response.usage.cache_creation_input_tokens = 0
+        response.usage.cache_read_input_tokens = 0
 
         client = MagicMock()
         stream_ctx = MagicMock()
@@ -708,6 +925,8 @@ class TestAnthropicProvider:
         response.usage = MagicMock()
         response.usage.input_tokens = 100
         response.usage.output_tokens = 50
+        response.usage.cache_creation_input_tokens = 0
+        response.usage.cache_read_input_tokens = 0
 
         client = MagicMock()
         stream_ctx = MagicMock()
@@ -1910,6 +2129,8 @@ class TestAnthropicWebSearch:
         response.stop_reason = "end_turn"
         response.usage.input_tokens = 100
         response.usage.output_tokens = 50
+        response.usage.cache_creation_input_tokens = 0
+        response.usage.cache_read_input_tokens = 0
 
         client = MagicMock()
         stream_ctx = MagicMock()
@@ -2876,7 +3097,8 @@ class TestAnthropicPromptCaching:
                 messages=[{"role": "user", "content": "hi"}],
             )
         )
-        start_chunks = [r for r in results if r.usage is not None and r.usage.prompt_tokens == 100]
+        # prompt_tokens = input_tokens (100) + cache_creation (80) + cache_read (0) = 180
+        start_chunks = [r for r in results if r.usage is not None and r.usage.prompt_tokens == 180]
         assert len(start_chunks) == 1
         assert start_chunks[0].usage is not None
         assert start_chunks[0].usage.cache_creation_tokens == 80
@@ -3224,11 +3446,14 @@ class TestResponsesMessageConversion:
             },
         ]
         _, items = self.provider._convert_messages(messages)
-        assert len(items) == 1
+        # sanitize_messages synthesizes a missing tool result for the orphaned call
+        assert len(items) == 2
         assert items[0]["type"] == "function_call"
         assert items[0]["call_id"] == "call_1"
         assert items[0]["name"] == "read_file"
         assert items[0]["arguments"] == '{"path": "/tmp"}'
+        assert items[1]["type"] == "function_call_output"
+        assert items[1]["call_id"] == "call_1"
 
     def test_tool_result(self) -> None:
         messages = [
@@ -3279,11 +3504,14 @@ class TestResponsesMessageConversion:
             },
         ]
         _, items = self.provider._convert_messages(messages)
-        assert len(items) == 2
+        # sanitize_messages synthesizes a missing tool result for the orphaned call
+        assert len(items) == 3
         assert items[0]["type"] == "message"
         assert items[0]["content"] == "I'll read that file"
         assert items[1]["type"] == "function_call"
         assert items[1]["name"] == "read_file"
+        assert items[2]["type"] == "function_call_output"
+        assert items[2]["call_id"] == "call_1"
 
 
 class TestResponsesToolConversion:

tests/test_session.py

@@ -105,7 +105,8 @@ class TestChatSessionConstruction:
     def test_msg_char_count_content_only(self, tmp_db):
         session = _make_session()
         msg = {"role": "assistant", "content": "hello world"}
-        assert session._msg_char_count(msg) == 11
+        # "hello world" (11) + "assistant" (9) = 20
+        assert session._msg_char_count(msg) == 20
 
     def test_msg_char_count_with_tool_calls(self, tmp_db):
         session = _make_session()
@@ -122,13 +123,14 @@ class TestChatSessionConstruction:
                 }
             ],
         }
-        # "hi" (2) + "bash" (4) + '{"command": "ls"}' (17) = 23
-        assert session._msg_char_count(msg) == 23
+        # "hi" (2) + "tc_1" (4) + "bash" (4) + '{"command": "ls"}' (17) + "assistant" (9) = 36
+        assert session._msg_char_count(msg) == 36
 
     def test_msg_char_count_none_content(self, tmp_db):
         session = _make_session()
         msg = {"role": "assistant", "content": None}
-        assert session._msg_char_count(msg) == 0
+        # len("assistant") = 9
+        assert session._msg_char_count(msg) == 9
 
     def test_reasoning_effort_stored(self, tmp_db):
         session = _make_session(reasoning_effort="high")

tests/test_settings_registry.py

@@ -69,7 +69,7 @@ class TestValidateValueCoercion:
             validate_value("tools.timeout", None)
 
     def test_str(self):
-        assert validate_value("model.name", "gpt-5") == "gpt-5"
+        assert validate_value("model.default_alias", "gpt5-prod") == "gpt5-prod"
         assert validate_value("session.instructions", "be nice") == "be nice"
 
 
@@ -143,10 +143,10 @@ class TestSerializeDeserialize:
 
     def test_str_round_trip(self):
         v = "hello world"
-        assert deserialize_value("model.name", serialize_value(v)) == v
+        assert deserialize_value("model.default_alias", serialize_value(v)) == v
 
     def test_str_round_trip_empty(self):
-        assert deserialize_value("model.name", serialize_value("")) == ""
+        assert deserialize_value("model.default_alias", serialize_value("")) == ""
 
 
 # ---------------------------------------------------------------------------

turnstone/__init__.py

@@ -1,3 +1,3 @@
 """turnstone - Multi-node AI orchestration platform with tool use, agent routing, and cluster simulation."""
 
-__version__ = "1.2.0"
+__version__ = "1.3.0"

turnstone/api/console_schemas.py

@@ -812,6 +812,9 @@ class ModelDefinitionInfo(BaseModel):
     context_window: int = 32768
     capabilities: str = "{}"
     enabled: bool = True
+    temperature: float | None = None
+    max_tokens: int | None = None
+    reasoning_effort: str | None = None
     source: str = ""
     created_by: str = ""
     created: str = ""
@@ -827,6 +830,9 @@ class CreateModelDefinitionRequest(BaseModel):
     context_window: int = 32768
     capabilities: dict[str, Any] = Field(default_factory=dict)
     enabled: bool = True
+    temperature: float | None = None
+    max_tokens: int | None = None
+    reasoning_effort: str | None = None
 
 
 class UpdateModelDefinitionRequest(BaseModel):
@@ -838,6 +844,9 @@ class UpdateModelDefinitionRequest(BaseModel):
     context_window: int | None = None
     capabilities: dict[str, Any] | None = None
     enabled: bool | None = None
+    temperature: float | None = None
+    max_tokens: int | None = None
+    reasoning_effort: str | None = None
 
 
 class ListModelDefinitionsResponse(BaseModel):

turnstone/bootstrap.py

@@ -76,8 +76,9 @@ For commercial providers (OpenAI, Anthropic-via-proxy), use the real key.
 - `TAVILY_API_KEY` — Web search API key (optional)
 
 ### Database
-- `DB_BACKEND` — `sqlite` (default) or `postgresql`
-- `DATABASE_URL` — PostgreSQL connection string (production only)
+- `TURNSTONE_DB_BACKEND` — `sqlite` (default) or `postgresql`
+- `TURNSTONE_DB_URL` — PostgreSQL connection URL (production only), \
+e.g. `postgresql+psycopg://turnstone:<password>@postgres:5432/turnstone`
 - `POSTGRES_USER` — PostgreSQL username (default: turnstone)
 - `POSTGRES_PASSWORD` — PostgreSQL password (required for production)
 
@@ -184,7 +185,7 @@ exact commands to run next (e.g., `docker compose --profile production up -d` th
 - If `compose.yaml` is missing, call `write_compose` before anything else. \
 The compose file uses pre-built images from ghcr.io — no local Docker build is needed.
 - If an existing .env is detected, summarize what's configured and ask what to change.
-- The `DATABASE_URL` for docker compose internal networking uses the hostname `postgres` \
+- The `TURNSTONE_DB_URL` for docker compose internal networking uses the hostname `postgres` \
 (e.g., `postgresql+psycopg://turnstone:<password>@postgres:5432/turnstone`).
 - For local LLM backends (vLLM, llama.cpp, Ollama, etc.), set `OPENAI_API_KEY=dummy` in the \
 .env file — local servers typically don't require authentication. The `LLM_BASE_URL` should \

turnstone/console/server.py

@@ -1318,8 +1318,11 @@ async def _lifespan(app: Starlette) -> AsyncGenerator[None, None]:
         try:
             if not tls_mgr.ca_initialized:
                 await tls_mgr.init_ca()
-            hostname = socket.getfqdn()
+            hostname = socket.gethostname()
+            fqdn = socket.getfqdn()
             cert_hostnames = [hostname, "localhost", "127.0.0.1"]
+            if fqdn != hostname:
+                cert_hostnames.append(fqdn)
             extra_sans = os.environ.get("TURNSTONE_TLS_SANS", "")
             if extra_sans:
                 cert_hostnames.extend(s.strip() for s in extra_sans.split(",") if s.strip())
@@ -5232,6 +5235,9 @@ async def admin_import_mcp_config(request: Request) -> JSONResponse:
 
 _MODEL_ALIAS_RE = re.compile(r"^[a-zA-Z0-9._-]+$")
 _MODEL_PROVIDERS = frozenset({"openai", "anthropic", "openai-compatible", "google"})
+_REASONING_EFFORT_CHOICES = frozenset(
+    {"", "none", "minimal", "low", "medium", "high", "xhigh", "max"}
+)
 # Keep in sync with turnstone.core.providers._google.GOOGLE_DEFAULT_BASE_URL
 _PROVIDER_DEFAULT_URLS: dict[str, str] = {
     "openai": "https://api.openai.com/v1",
@@ -5344,12 +5350,18 @@ async def admin_list_model_definitions(request: Request) -> JSONResponse:
         model_name = ""
         provider = "openai"
         context_window = 0
+        cfg_temperature = None
+        cfg_max_tokens = None
+        cfg_reasoning_effort = None
         for node_models in node_statuses.values():
             nm = node_models.get(alias)
             if nm:
                 model_name = nm.get("model", "")
                 provider = nm.get("provider", "openai")
                 context_window = nm.get("context_window", 0)
+                cfg_temperature = nm.get("temperature")
+                cfg_max_tokens = nm.get("max_tokens")
+                cfg_reasoning_effort = nm.get("reasoning_effort")
                 break
         result.append(
             {
@@ -5362,6 +5374,9 @@ async def admin_list_model_definitions(request: Request) -> JSONResponse:
                 "context_window": context_window,
                 "capabilities": "{}",
                 "enabled": True,
+                "temperature": cfg_temperature,
+                "max_tokens": cfg_max_tokens,
+                "reasoning_effort": cfg_reasoning_effort,
                 "source": "config",
                 "created_by": "",
                 "created": "",
@@ -5451,6 +5466,36 @@ async def admin_create_model_definition(request: Request) -> JSONResponse:
     capabilities = json.dumps(caps) if isinstance(caps, dict) else "{}"
     enabled = bool(body.get("enabled", True))
 
+    # Per-model sampling overrides (None = use global default)
+    temperature: float | None = None
+    if body.get("temperature") is not None:
+        try:
+            temperature = float(body["temperature"])
+        except (ValueError, TypeError):
+            return JSONResponse({"error": "temperature must be a number"}, status_code=400)
+        if not 0.0 <= temperature <= 2.0:
+            return JSONResponse(
+                {"error": "temperature must be between 0.0 and 2.0"}, status_code=400
+            )
+    max_tokens: int | None = None
+    if body.get("max_tokens") is not None:
+        try:
+            max_tokens = int(body["max_tokens"])
+        except (ValueError, TypeError):
+            return JSONResponse({"error": "max_tokens must be an integer"}, status_code=400)
+        if max_tokens < 1:
+            return JSONResponse({"error": "max_tokens must be >= 1"}, status_code=400)
+    reasoning_effort: str | None = None
+    if body.get("reasoning_effort") is not None:
+        reasoning_effort = str(body["reasoning_effort"]).strip()
+        if reasoning_effort and reasoning_effort not in _REASONING_EFFORT_CHOICES:
+            return JSONResponse(
+                {"error": f"Invalid reasoning_effort: {reasoning_effort!r}"},
+                status_code=400,
+            )
+        if not reasoning_effort:
+            reasoning_effort = None
+
     storage.create_model_definition(
         definition_id=definition_id,
         alias=alias,
@@ -5462,6 +5507,9 @@ async def admin_create_model_definition(request: Request) -> JSONResponse:
         capabilities=capabilities,
         enabled=enabled,
         created_by=audit_uid,
+        temperature=temperature,
+        max_tokens=max_tokens,
+        reasoning_effort=reasoning_effort,
     )
 
     record_audit(
@@ -5570,6 +5618,50 @@ async def admin_update_model_definition(request: Request) -> JSONResponse:
     if "enabled" in body:
         updates["enabled"] = bool(body["enabled"])
 
+    # Per-model sampling overrides — explicit null clears to "use global default"
+    if "temperature" in body:
+        raw_temp = body["temperature"]
+        if raw_temp is None:
+            updates["temperature"] = None
+        else:
+            try:
+                temp_val = float(raw_temp)
+            except (ValueError, TypeError):
+                return JSONResponse({"error": "temperature must be a number"}, status_code=400)
+            if not 0.0 <= temp_val <= 2.0:
+                return JSONResponse(
+                    {"error": "temperature must be between 0.0 and 2.0"},
+                    status_code=400,
+                )
+            updates["temperature"] = temp_val
+    if "max_tokens" in body:
+        raw_mt = body["max_tokens"]
+        if raw_mt is None:
+            updates["max_tokens"] = None
+        else:
+            try:
+                mt_val = int(raw_mt)
+            except (ValueError, TypeError):
+                return JSONResponse({"error": "max_tokens must be an integer"}, status_code=400)
+            if mt_val < 1:
+                return JSONResponse({"error": "max_tokens must be >= 1"}, status_code=400)
+            updates["max_tokens"] = mt_val
+    if "reasoning_effort" in body:
+        raw_re = body["reasoning_effort"]
+        if raw_re is None:
+            updates["reasoning_effort"] = None
+        else:
+            re_val = str(raw_re).strip()
+            if not re_val:
+                updates["reasoning_effort"] = None
+            elif re_val not in _REASONING_EFFORT_CHOICES:
+                return JSONResponse(
+                    {"error": f"Invalid reasoning_effort: {re_val!r}"},
+                    status_code=400,
+                )
+            else:
+                updates["reasoning_effort"] = re_val
+
     if updates:
         storage.update_model_definition(definition_id, **updates)
 
@@ -7933,7 +8025,7 @@ def main() -> None:
     else:
         _advertise_host = args.host
         if _advertise_host in ("0.0.0.0", "::", ""):
-            _advertise_host = _socket.getfqdn()
+            _advertise_host = _socket.gethostname()
         console_url = f"http://{_advertise_host}:{args.port}"
     if auth_storage:
         try:

turnstone/console/static/admin.js

@@ -4447,6 +4447,24 @@ function _renderModels(items) {
       colAlias.appendChild(document.createTextNode(" "));
       colAlias.appendChild(defBadge);
     }
+    // Per-model sampling override indicators
+    var overrides = [];
+    if (m.temperature != null) overrides.push("temp=" + m.temperature);
+    if (m.max_tokens != null) overrides.push("max_tok=" + m.max_tokens);
+    if (m.reasoning_effort != null)
+      overrides.push("effort=" + m.reasoning_effort);
+    if (overrides.length) {
+      var ovrSpan = document.createElement("span");
+      ovrSpan.className = "model-overrides-hint";
+      ovrSpan.textContent = overrides.join(", ");
+      ovrSpan.title = "Per-model overrides (override global defaults)";
+      ovrSpan.setAttribute(
+        "aria-label",
+        "Per-model overrides: " + overrides.join(", "),
+      );
+      colAlias.appendChild(document.createElement("br"));
+      colAlias.appendChild(ovrSpan);
+    }
     row.appendChild(colAlias);
 
     // Model ID
@@ -4593,6 +4611,9 @@ function showCreateModelModal() {
   document.getElementById("model-api-key").value = "";
   document.getElementById("model-api-key").placeholder = "sk-...";
   document.getElementById("model-ctx-window").value = "0";
+  document.getElementById("model-temperature").value = "";
+  document.getElementById("model-max-tokens").value = "";
+  document.getElementById("model-reasoning-effort").value = "";
   document.getElementById("model-capabilities").value = "";
   document.getElementById("model-enabled").checked = true;
   document.getElementById("model-detect-result").style.display = "none";
@@ -4626,6 +4647,12 @@ function showEditModelModal(definitionId) {
         "\u2022\u2022\u2022 (leave blank to keep existing)";
       document.getElementById("model-ctx-window").value =
         m.context_window != null ? m.context_window : 0;
+      document.getElementById("model-temperature").value =
+        m.temperature != null ? m.temperature : "";
+      document.getElementById("model-max-tokens").value =
+        m.max_tokens != null ? m.max_tokens : "";
+      document.getElementById("model-reasoning-effort").value =
+        m.reasoning_effort != null ? m.reasoning_effort : "";
       // Parse capabilities JSON for display
       var caps = m.capabilities || "{}";
       try {
@@ -4689,6 +4716,36 @@ function submitCreateModel() {
     enabled: document.getElementById("model-enabled").checked,
   };
 
+  // Per-model sampling overrides — null when empty (use global default)
+  var tempVal = document.getElementById("model-temperature").value.trim();
+  if (tempVal !== "") {
+    var t = parseFloat(tempVal);
+    if (isNaN(t) || t < 0 || t > 2) {
+      _showModelError("Temperature must be between 0 and 2");
+      return;
+    }
+    form.temperature = t;
+  } else {
+    form.temperature = null;
+  }
+  var mtVal = document.getElementById("model-max-tokens").value.trim();
+  if (mtVal !== "") {
+    var mt = parseInt(mtVal, 10);
+    if (isNaN(mt) || mt < 1) {
+      _showModelError("Max tokens must be at least 1");
+      return;
+    }
+    form.max_tokens = mt;
+  } else {
+    form.max_tokens = null;
+  }
+  var reVal = document.getElementById("model-reasoning-effort").value;
+  if (reVal !== "") {
+    form.reasoning_effort = reVal;
+  } else {
+    form.reasoning_effort = null;
+  }
+
   var apiKey = document.getElementById("model-api-key").value;
   if (apiKey) form.api_key = apiKey;
 

turnstone/console/static/index.html

@@ -1551,6 +1551,22 @@ window.TURNSTONE_KB_SHORTCUTS = [
     <input type="password" id="model-api-key" placeholder="sk-..." autocomplete="off">
     <label for="model-ctx-window">Context Window <span style="font-weight:400;text-transform:none">(0 = auto-detect from model)</span></label>
     <input type="number" id="model-ctx-window" value="0" min="0">
+    <div class="modal-section-divider" role="separator">Sampling Defaults</div>
+    <label for="model-temperature">Temperature <span style="font-weight:400;text-transform:none">(empty = use global default)</span></label>
+    <input type="number" id="model-temperature" placeholder="Global default" step="0.1" min="0" max="2">
+    <label for="model-max-tokens">Max Tokens <span style="font-weight:400;text-transform:none">(empty = use global default)</span></label>
+    <input type="number" id="model-max-tokens" placeholder="Global default" min="1">
+    <label for="model-reasoning-effort">Reasoning Effort <span style="font-weight:400;text-transform:none">(empty = use global default)</span></label>
+    <select id="model-reasoning-effort">
+      <option value="">Global default</option>
+      <option value="none">none</option>
+      <option value="minimal">minimal</option>
+      <option value="low">low</option>
+      <option value="medium">medium</option>
+      <option value="high">high</option>
+      <option value="xhigh">xhigh</option>
+      <option value="max">max</option>
+    </select>
     <label for="model-capabilities">Capabilities <span style="font-weight:400;text-transform:none">(JSON)</span></label>
     <textarea id="model-capabilities" rows="3" placeholder='{"supports_vision": true}' style="font-family:var(--font-mono);font-size:11px"></textarea>
     <div style="display:flex;gap:20px;margin-top:14px">

turnstone/console/static/style.css

@@ -2471,6 +2471,12 @@ h3.skill-spec-heading { font-size: inherit; margin-block: 0; }
 .model-provider-google{color:var(--green);border-color:rgba(52,211,153,.2)}
 .model-provider-compat{color:var(--fg-dim);border-color:var(--border-strong)}
 
+/* Per-model override hints */
+.model-overrides-hint{font-size:10px;color:var(--fg-dim);font-family:var(--font-mono);letter-spacing:.02em}
+
+/* Modal section divider for field groups */
+.modal-section-divider{font-family:var(--font-display);font-size:9px;font-weight:600;text-transform:uppercase;letter-spacing:.1em;color:var(--fg-dim);margin:16px 0 4px;padding-top:12px;border-top:1px solid var(--border)}
+
 /* Model source badge */
 .scope-db{color:var(--blue);border-color:rgba(56,189,248,.2)}
 

turnstone/core/config.py

@@ -266,3 +266,21 @@ def warn_migrated_settings() -> None:
                 config_key,
                 key,
             )
+
+    # Warn about removed settings whose config.toml keys are now ignored.
+    # model.name → use model definitions (Models tab); model.context_window
+    # → set per-model in the Models tab (context_window column).
+    removed_settings: dict[str, str] = {
+        "model.name": "Use model definitions in the Models tab instead.",
+        "model.context_window": "Set per-model in the Models tab instead.",
+    }
+    for key, guidance in removed_settings.items():
+        section, config_key = key.split(".", 1)
+        section_data = cfg.get(section, {})
+        if isinstance(section_data, dict) and config_key in section_data:
+            log.warning(
+                "config.toml [%s] %s has been removed and will be ignored. %s",
+                section,
+                config_key,
+                guidance,
+            )

turnstone/core/env.py

@@ -73,7 +73,7 @@ _EXPLICIT_SCRUB: frozenset[str] = frozenset(
         "AZURE_CLIENT_SECRET",
         "GCP_SERVICE_ACCOUNT_KEY",
         "GOOGLE_APPLICATION_CREDENTIALS",
-        "DATABASE_URL",
+        "DATABASE_URL",  # conventional name (Heroku, Railway, etc.) — kept for defence-in-depth
         "TURNSTONE_DB_URL",
     }
 )

turnstone/core/model_registry.py

@@ -35,6 +35,10 @@ class ModelConfig:
     provider: str = "openai"
     capabilities: dict[str, Any] = field(default_factory=dict)
     source: str = ""  # "config", "db", or "" (CLI default)
+    # Per-model sampling overrides (None = use global default from ConfigStore)
+    temperature: float | None = None
+    max_tokens: int | None = None
+    reasoning_effort: str | None = None
 
 
 # ---------------------------------------------------------------------------
@@ -268,6 +272,10 @@ def load_model_registry(
                 # 0 = auto-detect: inherit CLI-detected context_window,
                 # same fallback chain as config.toml models
                 row_ctx = row.get("context_window", 0) or context_window
+                # Per-model sampling overrides (None = use global default)
+                row_temperature = row.get("temperature")
+                row_max_tokens = row.get("max_tokens")
+                row_reasoning_effort = row.get("reasoning_effort")
                 configs[alias] = ModelConfig(
                     alias=alias,
                     base_url=row_base_url,
@@ -277,6 +285,11 @@ def load_model_registry(
                     provider=row_provider,
                     capabilities=caps,
                     source="db",
+                    temperature=float(row_temperature) if row_temperature is not None else None,
+                    max_tokens=int(row_max_tokens) if row_max_tokens is not None else None,
+                    reasoning_effort=row_reasoning_effort
+                    if row_reasoning_effort is not None
+                    else None,
                 )
         except Exception:
             log.warning("Failed to load model definitions from storage", exc_info=True)
@@ -290,6 +303,36 @@ def load_model_registry(
             log.warning("Model entry '%s' has no model name, skipping", alias)
             continue
         entry_base_url = _resolve_env_vars(entry.get("base_url", base_url))
+        # Per-model sampling overrides from config.toml — invalid values
+        # are logged and treated as None (inherit global default).
+        entry_temp: float | None = None
+        entry_max_tokens: int | None = None
+        entry_effort: str | None = None
+        raw_temp = entry.get("temperature")
+        if raw_temp is not None:
+            try:
+                entry_temp = float(raw_temp)
+                if not 0.0 <= entry_temp <= 2.0:
+                    log.warning(
+                        "Model '%s' temperature %.2f out of range [0, 2], ignoring",
+                        alias,
+                        entry_temp,
+                    )
+                    entry_temp = None
+            except (ValueError, TypeError):
+                log.warning("Model '%s' has invalid temperature %r, ignoring", alias, raw_temp)
+        raw_mt = entry.get("max_tokens")
+        if raw_mt is not None:
+            try:
+                entry_max_tokens = int(raw_mt)
+                if entry_max_tokens < 1:
+                    log.warning("Model '%s' max_tokens %d < 1, ignoring", alias, entry_max_tokens)
+                    entry_max_tokens = None
+            except (ValueError, TypeError):
+                log.warning("Model '%s' has invalid max_tokens %r, ignoring", alias, raw_mt)
+        raw_effort = entry.get("reasoning_effort")
+        if raw_effort is not None:
+            entry_effort = str(raw_effort)
         configs[alias] = ModelConfig(
             alias=alias,
             base_url=entry_base_url,
@@ -301,6 +344,9 @@ def load_model_registry(
             if isinstance(entry.get("capabilities"), dict)
             else {},
             source="config",
+            temperature=entry_temp,
+            max_tokens=entry_max_tokens,
+            reasoning_effort=entry_effort,
         )
 
     # 3. Ensure a "default" entry from CLI args (only if not already defined

turnstone/core/providers/_anthropic.py

@@ -714,14 +714,19 @@ class AnthropicProvider:
             elif event_type == "message_delta":
                 if hasattr(event, "usage") and event.usage:
                     u = event.usage
+                    inp = getattr(u, "input_tokens", 0) or 0
+                    out = getattr(u, "output_tokens", 0) or 0
+                    cc = getattr(u, "cache_creation_input_tokens", 0) or 0
+                    cr = getattr(u, "cache_read_input_tokens", 0) or 0
+                    # prompt_tokens = total input (non-cached + cached) so
+                    # context-window tracking matches OpenAI semantics.
+                    total_input = inp + cc + cr
                     sc.usage = UsageInfo(
-                        prompt_tokens=getattr(u, "input_tokens", 0),
-                        completion_tokens=getattr(u, "output_tokens", 0),
-                        total_tokens=(
-                            getattr(u, "input_tokens", 0) + getattr(u, "output_tokens", 0)
-                        ),
-                        cache_creation_tokens=getattr(u, "cache_creation_input_tokens", 0) or 0,
-                        cache_read_tokens=getattr(u, "cache_read_input_tokens", 0) or 0,
+                        prompt_tokens=total_input,
+                        completion_tokens=out,
+                        total_tokens=total_input + out,
+                        cache_creation_tokens=cc,
+                        cache_read_tokens=cr,
                     )
                 if hasattr(event.delta, "stop_reason") and event.delta.stop_reason:
                     sc.finish_reason = _normalize_finish_reason(event.delta.stop_reason)
@@ -732,12 +737,16 @@ class AnthropicProvider:
             elif event_type == "message_start":
                 if hasattr(event.message, "usage") and event.message.usage:
                     u = event.message.usage
+                    inp = getattr(u, "input_tokens", 0) or 0
+                    cc = getattr(u, "cache_creation_input_tokens", 0) or 0
+                    cr = getattr(u, "cache_read_input_tokens", 0) or 0
+                    total_input = inp + cc + cr
                     sc.usage = UsageInfo(
-                        prompt_tokens=getattr(u, "input_tokens", 0),
+                        prompt_tokens=total_input,
                         completion_tokens=0,
-                        total_tokens=getattr(u, "input_tokens", 0),
-                        cache_creation_tokens=getattr(u, "cache_creation_input_tokens", 0) or 0,
-                        cache_read_tokens=getattr(u, "cache_read_input_tokens", 0) or 0,
+                        total_tokens=total_input,
+                        cache_creation_tokens=cc,
+                        cache_read_tokens=cr,
                     )
 
             has_content = sc.content_delta or sc.reasoning_delta or sc.tool_call_deltas
@@ -826,12 +835,17 @@ class AnthropicProvider:
         usage = None
         if hasattr(response, "usage") and response.usage:
             u = response.usage
+            inp = getattr(u, "input_tokens", 0) or 0
+            out = getattr(u, "output_tokens", 0) or 0
+            cc = getattr(u, "cache_creation_input_tokens", 0) or 0
+            cr = getattr(u, "cache_read_input_tokens", 0) or 0
+            total_input = inp + cc + cr
             usage = UsageInfo(
-                prompt_tokens=u.input_tokens,
-                completion_tokens=u.output_tokens,
-                total_tokens=u.input_tokens + u.output_tokens,
-                cache_creation_tokens=getattr(u, "cache_creation_input_tokens", 0) or 0,
-                cache_read_tokens=getattr(u, "cache_read_input_tokens", 0) or 0,
+                prompt_tokens=total_input,
+                completion_tokens=out,
+                total_tokens=total_input + out,
+                cache_creation_tokens=cc,
+                cache_read_tokens=cr,
             )
 
         return CompletionResult(

turnstone/core/providers/_openai_common.py

@@ -7,14 +7,19 @@ formatting, and message sanitisation live here so both
 
 from __future__ import annotations
 
+import uuid
 from typing import Any
 
+import structlog
+
 from turnstone.core.providers._protocol import (
     ModelCapabilities,
     UsageInfo,
     _lookup_capabilities,
 )
 
+log = structlog.get_logger(__name__)
+
 # ---------------------------------------------------------------------------
 # Model capability table
 # ---------------------------------------------------------------------------
@@ -304,21 +309,132 @@ def format_citations(content: str, annotations: list[Any]) -> str:
 def sanitize_messages(
     messages: list[dict[str, Any]],
 ) -> list[dict[str, Any]]:
-    """Ensure assistant messages always have ``content`` or ``tool_calls``.
+    """Sanitize messages for OpenAI-compatible APIs.
 
-    OpenAI-compatible APIs reject assistant messages that have neither.
-    This is a defensive catch-all; the upstream layers should already
-    guarantee well-formed messages.
+    Performs three repairs:
+
+    1. Ensures assistant messages always have ``content`` or ``tool_calls``
+       (APIs reject messages with neither).
+    2. Fills empty tool_call IDs with synthetic ``call_{uuid}`` values
+       (local servers sometimes omit them).
+    3. Detects and repairs orphaned tool_call / tool_result pairs:
+
+       - Synthesizes error tool messages for tool_calls with no matching
+         tool result.
+       - Drops tool messages whose ``tool_call_id`` has no matching
+         tool_call in the preceding assistant message.
+
+    Returns a new list; the original messages are not mutated.
     """
     out: list[dict[str, Any]] = []
-    for msg in messages:
-        if (
-            msg.get("role") == "assistant"
-            and msg.get("content") is None
-            and not msg.get("tool_calls")
-        ):
+    i = 0
+    while i < len(messages):
+        msg = messages[i]
+        role = msg.get("role", "")
+
+        # (1) Fix empty-content assistant messages
+        if role == "assistant" and msg.get("content") is None and not msg.get("tool_calls"):
             msg = {**msg, "content": ""}
+            out.append(msg)
+            i += 1
+            continue
+
+        # (2+3) Assistant with tool_calls: fix IDs and detect orphans
+        if role == "assistant" and msg.get("tool_calls"):
+            tool_calls = msg["tool_calls"]
+
+            # Back-fill empty IDs and build positional remap for tool results.
+            # Local servers (vLLM, llama.cpp) sometimes omit IDs entirely;
+            # positional pairing is the best heuristic in that case.
+            needs_id_fix = any(not tc.get("id") for tc in tool_calls)
+            id_remap: dict[int, str] = {}  # positional index → new ID
+            if needs_id_fix:
+                new_tcs = []
+                empty_idx = 0
+                for tc in tool_calls:
+                    if not tc.get("id"):
+                        new_id = f"call_{uuid.uuid4().hex}"
+                        id_remap[empty_idx] = new_id
+                        empty_idx += 1
+                        new_tcs.append({**tc, "id": new_id})
+                    else:
+                        new_tcs.append(tc)
+                msg = {**msg, "tool_calls": new_tcs}
+                tool_calls = msg["tool_calls"]
+
+            # Collect IDs from this assistant message
+            tc_ids = [tc["id"] for tc in tool_calls if tc.get("id")]
+            tc_id_set = set(tc_ids)
+
+            out.append(msg)
+            i += 1
+
+            # Copy through existing tool messages, applying ID remap and
+            # filtering out stale results that don't match any tool_call.
+            local_answered: set[str] = set()
+            empty_result_idx = 0
+            while i < len(messages) and messages[i].get("role") == "tool":
+                tool_msg = messages[i]
+                result_tc_id = tool_msg.get("tool_call_id", "")
+                if not result_tc_id and empty_result_idx in id_remap:
+                    # Positional remap: empty result → matching new ID
+                    new_id = id_remap[empty_result_idx]
+                    tool_msg = {**tool_msg, "tool_call_id": new_id}
+                    local_answered.add(new_id)
+                    empty_result_idx += 1
+                    out.append(tool_msg)
+                elif not result_tc_id:
+                    # Empty ID with no remap available — drop it
+                    log.debug("sanitize_messages: dropping tool result with empty ID")
+                    empty_result_idx += 1
+                elif result_tc_id in tc_id_set:
+                    local_answered.add(result_tc_id)
+                    out.append(tool_msg)
+                else:
+                    log.debug(
+                        "sanitize_messages: dropping stale tool result: %s",
+                        result_tc_id,
+                    )
+                i += 1
+
+            # Synthesize error results for tool_calls not answered in
+            # THIS turn (not all of `out`, to avoid false matches from
+            # reused IDs across turns).
+            still_orphaned = [uid for uid in tc_ids if uid not in local_answered]
+            if still_orphaned:
+                log.debug(
+                    "sanitize_messages: synthesizing %d tool result(s) for orphaned tool_calls",
+                    len(still_orphaned),
+                )
+                for uid in still_orphaned:
+                    out.append(
+                        {
+                            "role": "tool",
+                            "tool_call_id": uid,
+                            "content": "Tool execution was cancelled.",
+                        }
+                    )
+            continue
+
+        # (3d) Drop orphaned tool results
+        if role == "tool":
+            tc_id = msg.get("tool_call_id", "")
+            # Find the preceding assistant message's tool_call IDs
+            prev_tc_ids: set[str] = set()
+            for k in range(len(out) - 1, -1, -1):
+                if out[k].get("role") == "assistant" and out[k].get("tool_calls"):
+                    prev_tc_ids = {tc.get("id", "") for tc in out[k]["tool_calls"] if tc.get("id")}
+                    break
+            if prev_tc_ids and tc_id and tc_id not in prev_tc_ids:
+                log.debug(
+                    "sanitize_messages: dropping orphaned tool result (no matching tool_call): %s",
+                    tc_id,
+                )
+                i += 1
+                continue
+
         out.append(msg)
+        i += 1
     return out
 
 

turnstone/core/providers/_openai_responses.py

@@ -24,6 +24,7 @@ from turnstone.core.providers._openai_common import (
     format_citations,
     lookup_openai_capabilities,
     resolve_reasoning_effort,
+    sanitize_messages,
 )
 from turnstone.core.providers._protocol import (
     CompletionResult,
@@ -83,6 +84,7 @@ class OpenAIResponsesProvider:
         concatenated system/developer messages (or ``None``) and *input_items*
         is the Responses API ``input`` array.
         """
+        messages = sanitize_messages(messages)
         instructions_parts: list[str] = []
         items: list[dict[str, Any]] = []
 

turnstone/core/session.py

@@ -372,6 +372,7 @@ class ChatSession:
         self._applied_skill_version: int = 0
         self._applied_skill_content: str = ""  # inline prompt from applied skill
         self._assistant_pending_tokens = 0
+        self._calibrated_msg_count = 0  # len(messages) at last _update_token_table
         self.creative_mode = False
         self._notify_count = 0
         # Watch support: server-level runner injected via set_watch_runner()
@@ -918,11 +919,25 @@ class ChatSession:
     def _remaining_token_budget(self) -> int:
         """Estimate how many tokens are available for new content.
 
+        When provider-reported usage is available, uses the last API
+        call's ``prompt_tokens`` as ground truth and only estimates the
+        delta (messages added since that call).  Falls back to pure
+        local estimates otherwise.
+
         Reserves a response budget (capped at 25% of context window, since
         ``max_tokens`` is an upper bound, not guaranteed consumption) plus
         a 5% safety margin.  Returns at least 0.
         """
         used = self._system_tokens + sum(self._msg_tokens)
+        if self._last_usage:
+            # Provider-reported tokens from the last API call
+            base = self._last_usage["prompt_tokens"]
+            # Only estimate tokens for messages added AFTER calibration.
+            # Clamp index to prevent stale _calibrated_msg_count from
+            # over-slicing after compaction or message list mutations.
+            start = min(self._calibrated_msg_count, len(self._msg_tokens))
+            new_msg_tokens = sum(self._msg_tokens[start:])
+            used = base + new_msg_tokens
         response_reserve = min(self.max_tokens, self.context_window // 4)
         safety_margin = int(self.context_window * 0.05)
         return max(0, self.context_window - used - response_reserve - safety_margin)
@@ -1090,6 +1105,7 @@ class ChatSession:
         self._read_files.clear()
         self._recent_tool_sigs.clear()
         self._last_usage = None
+        self._calibrated_msg_count = 0
         self._title_generated = True  # don't re-title resumed workstreams
         self._msg_tokens = [
             max(1, int(self._msg_char_count(m) / self._chars_per_token)) for m in self.messages
@@ -1836,6 +1852,7 @@ class ChatSession:
                     return
 
                 self._update_token_table(assistant_msg)
+                self._print_status_line()  # Report usage for EVERY API call
                 self.messages.append(assistant_msg)
                 self._msg_tokens.append(
                     self._assistant_pending_tokens
@@ -1875,7 +1892,6 @@ class ChatSession:
 
                 tool_calls = assistant_msg.get("tool_calls")
                 if not tool_calls:
-                    self._print_status_line()
                     # Auto-compact when prompt exceeds threshold
                     if (
                         self._last_usage
@@ -2093,6 +2109,18 @@ class ChatSession:
                 if user_feedback:
                     self.messages.append({"role": "user", "content": user_feedback})
                     self._msg_tokens.append(max(1, int(len(user_feedback) / self._chars_per_token)))
+
+                # Mid-turn compaction: prevent context overflow during long
+                # tool chains.  Uses local estimates since _last_usage reflects
+                # the previous API call, not the tool results just appended.
+                estimated_prompt = self._system_tokens + sum(self._msg_tokens)
+                if estimated_prompt > self.context_window * self.auto_compact_pct:
+                    pct_display = int(self.auto_compact_pct * 100)
+                    self.ui.on_info(
+                        f"\n[Auto-compacting mid-turn: estimated prompt "
+                        f"exceeds {pct_display}% of context window]"
+                    )
+                    self._compact_messages(auto=True)
         except GenerationCancelled:
             # If a newer send() has started (force cancel), this thread is
             # orphaned — skip all message mutations and state changes.
@@ -2259,6 +2287,11 @@ class ChatSession:
         Returns the complete assistant message as a dict suitable for
         appending to self.messages.
         """
+        # Reset so this API call captures fresh usage — prevents stale
+        # completion_tokens from a prior tool-chain iteration leaking
+        # through the max() accumulator.
+        self._last_usage = None
+
         content_parts: list[str] = []
         reasoning_parts: list[str] = []
         tool_calls_acc: dict[int, dict[str, Any]] = {}
@@ -2598,17 +2631,44 @@ class ChatSession:
 
     # -- Token tracking & status ----------------------------------------------
 
-    def _msg_char_count(self, msg: dict[str, Any]) -> int:
-        """Count characters in a message, including tool call arguments."""
+    # Fixed token count per image (provider-agnostic average).
+    _IMAGE_TOKENS = 1000
+
+    @staticmethod
+    def _msg_text_chars(msg: dict[str, Any]) -> tuple[int, int]:
+        """Return (text_chars, image_count) for a message.
+
+        Counts all textual content plus structural overhead (role,
+        tool_call IDs, tool call names/arguments).  Images are counted
+        separately so the calibration can subtract their fixed token
+        cost from prompt_tokens.
+        """
         content = msg.get("content")
+        n = 0
+        images = 0
         if isinstance(content, list):
-            n = sum(len(p.get("text", "")) for p in content if p.get("type") == "text")
+            n += sum(len(p.get("text", "")) for p in content if p.get("type") == "text")
+            images += sum(1 for p in content if p.get("type") == "image_url")
         else:
-            n = len(content or "")
+            n += len(content or "")
         for tc in msg.get("tool_calls", []):
+            n += len(tc.get("id", ""))
             n += len(tc.get("function", {}).get("name", ""))
             n += len(tc.get("function", {}).get("arguments", ""))
-        return n
+        # Structural overhead: role, tool_call_id
+        n += len(msg.get("role", ""))
+        n += len(msg.get("tool_call_id", ""))
+        return n, images
+
+    def _msg_char_count(self, msg: dict[str, Any]) -> int:
+        """Count characters in a message, including structural overhead.
+
+        Includes role markers, tool_call IDs, and image placeholders so
+        that the chars_per_token calibration matches what providers
+        actually bill.
+        """
+        text_chars, images = self._msg_text_chars(msg)
+        return text_chars + int(images * self._IMAGE_TOKENS * self._chars_per_token)
 
     def _update_token_table(self, assistant_msg: dict[str, Any]) -> None:
         """Update per-message token estimates using API usage data."""
@@ -2619,12 +2679,28 @@ class ChatSession:
         compl_tok = self._last_usage["completion_tokens"]
 
         # Calibrate chars_per_token ratio from actual usage.
+        # Images get a fixed token budget, so we subtract those from the
+        # provider-reported prompt_tokens and calibrate only the text portion.
         all_msgs = self._full_messages()  # system + self.messages (before append)
         active_tools = self._get_active_tools() or []
         tool_def_chars = sum(len(json.dumps(t)) for t in active_tools)
-        total_chars = sum(self._msg_char_count(m) for m in all_msgs) + tool_def_chars
-        if total_chars > 0 and prompt_tok > 0:
-            self._chars_per_token = total_chars / prompt_tok
+        text_chars = 0
+        image_count = 0
+        for m in all_msgs:
+            tc, ic = self._msg_text_chars(m)
+            text_chars += tc
+            image_count += ic
+        text_chars += tool_def_chars
+        image_tokens = image_count * self._IMAGE_TOKENS
+        text_prompt_tok = prompt_tok - image_tokens
+        if text_prompt_tok <= 0:
+            log.debug(
+                "Image token estimate (%d) >= prompt_tokens (%d), skipping calibration",
+                image_tokens,
+                prompt_tok,
+            )
+        elif text_chars > 0:
+            self._chars_per_token = text_chars / text_prompt_tok
 
         # Compute system_tokens (stable after first call)
         sys_chars = sum(self._msg_char_count(m) for m in self.system_messages)
@@ -2638,6 +2714,10 @@ class ChatSession:
         # Stash completion_tokens for the assistant message about to be appended
         self._assistant_pending_tokens = compl_tok
 
+        # Record how many messages were in context at calibration time so
+        # _remaining_token_budget() can estimate only the delta.
+        self._calibrated_msg_count = len(self.messages)
+
         # Token budget tracking
         if self._token_budget > 0:
             total = prompt_tok + compl_tok
@@ -2849,6 +2929,7 @@ class ChatSession:
         su_tok = max(1, int(self._msg_char_count(summary_user) / self._chars_per_token))
         sa_tok = max(1, int(self._msg_char_count(summary_asst) / self._chars_per_token))
         self._msg_tokens = [su_tok, sa_tok]
+        self._calibrated_msg_count = len(self.messages)  # anchored to compacted state
         after_tokens = self._system_tokens + sum(self._msg_tokens)
 
         # Update usage estimate so the status bar reflects post-compaction state
@@ -6713,6 +6794,7 @@ class ChatSession:
             self._read_files.clear()
             self._recent_tool_sigs.clear()
             self._last_usage = None
+            self._calibrated_msg_count = 0
             self._msg_tokens = []
             self.ui.on_info("Context cleared (messages preserved in database).")
 
@@ -6723,6 +6805,7 @@ class ChatSession:
             self._read_files.clear()
             self._recent_tool_sigs.clear()
             self._last_usage = None
+            self._calibrated_msg_count = 0
             self._msg_tokens = []
             self._ws_id = uuid.uuid4().hex
             self._title_generated = False
@@ -6841,6 +6924,25 @@ class ChatSession:
                 self.context_window = cfg.context_window
                 if not self._manual_tool_truncation:
                     self.tool_truncation = int(cfg.context_window * self._chars_per_token * 0.5)
+                # Apply per-model sampling overrides, falling back to global
+                # defaults — mirrors session_factory() resolution logic so
+                # switching away from a model with overrides doesn't leak them.
+                cs = self._config_store
+                self.temperature = (
+                    cfg.temperature
+                    if cfg.temperature is not None
+                    else (cs.get("model.temperature") if cs else self.temperature)
+                )
+                self.max_tokens = (
+                    cfg.max_tokens
+                    if cfg.max_tokens is not None
+                    else (cs.get("model.max_tokens") if cs else self.max_tokens)
+                )
+                self.reasoning_effort = (
+                    cfg.reasoning_effort
+                    if cfg.reasoning_effort is not None
+                    else (cs.get("model.reasoning_effort") if cs else self.reasoning_effort)
+                )
                 self._init_system_messages()
                 self._save_config()
                 self.ui.on_info(f"Switched to {cyan(arg)}: {model_name}")

turnstone/core/settings_registry.py

@@ -35,14 +35,6 @@ def _build_registry() -> dict[str, SettingDef]:
     """Build the settings registry from declarative definitions."""
     defs: list[SettingDef] = [
         # -- model ----------------------------------------------------------
-        SettingDef(
-            "model.name",
-            "str",
-            "",
-            "Default model name (empty = use provider default)",
-            "model",
-            help="Which AI model to use for conversations. Leave empty to use the provider's default.",
-        ),
         SettingDef(
             "model.default_alias",
             "str",
@@ -58,45 +50,38 @@ def _build_registry() -> dict[str, SettingDef]:
             "model.temperature",
             "float",
             0.5,
-            "Sampling temperature (ignored by models that don't support it, e.g. o-series)",
+            "Default sampling temperature (overridden by per-model settings)",
             "model",
             min_value=0.0,
             max_value=2.0,
-            help="Controls randomness in responses. Lower values (0.0\u20130.3) give focused, "
-            "deterministic output; higher values (0.7\u20131.5) make responses more creative and varied.",
+            help="Default sampling temperature for models without a per-model override. "
+            "Controls randomness in responses. Lower values (0.0\u20130.3) give focused, "
+            "deterministic output; higher values (0.7\u20131.5) make responses more creative "
+            "and varied. Per-model overrides can be set in the Models tab.",
             reference_url="https://arxiv.org/abs/1904.09751",
         ),
         SettingDef(
             "model.max_tokens",
             "int",
             32768,
-            "Max output tokens per response",
+            "Default max output tokens (overridden by per-model settings)",
             "model",
             min_value=1,
-            help="Upper limit on how long each response can be. One token is roughly 4 characters "
-            "of English text. Higher values allow longer responses but cost more.",
+            help="Default max output tokens for models without a per-model override. "
+            "Upper limit on how long each response can be. One token is roughly 4 characters "
+            "of English text. Per-model overrides can be set in the Models tab.",
         ),
         SettingDef(
             "model.reasoning_effort",
             "str",
             "medium",
-            "Reasoning effort level (only applies to models with reasoning support)",
+            "Default reasoning effort (overridden by per-model settings)",
             "model",
             choices=["", "none", "minimal", "low", "medium", "high", "xhigh", "max"],
-            help="How much internal \u2018thinking\u2019 the model does before responding. Higher effort "
-            "improves quality on complex tasks but is slower and uses more tokens. Not all models "
-            "support this \u2014 it is silently ignored when unsupported.",
-        ),
-        SettingDef(
-            "model.context_window",
-            "int",
-            0,
-            "Context window size in tokens (0 = auto-detect from model)",
-            "model",
-            min_value=0,
-            help="How much conversation history the model can see at once, measured in tokens "
-            "(~4 characters each). Set to 0 to auto-detect from the model. Only override this "
-            "if auto-detection fails (common with local models).",
+            help="Default reasoning effort for models without a per-model override. "
+            "Controls how much internal \u2018thinking\u2019 the model does before responding. "
+            "Higher effort improves quality on complex tasks but is slower and uses more "
+            "tokens. Per-model overrides can be set in the Models tab.",
         ),
         # -- session --------------------------------------------------------
         SettingDef(

turnstone/core/storage/_postgresql.py

@@ -3084,6 +3084,9 @@ class PostgreSQLBackend:
         capabilities: str = "{}",
         enabled: bool = True,
         created_by: str = "",
+        temperature: float | None = None,
+        max_tokens: int | None = None,
+        reasoning_effort: str | None = None,
     ) -> None:
         from sqlalchemy.dialects import postgresql
 
@@ -3101,6 +3104,9 @@ class PostgreSQLBackend:
                     context_window=context_window,
                     capabilities=capabilities,
                     enabled=1 if enabled else 0,
+                    temperature=temperature,
+                    max_tokens=max_tokens,
+                    reasoning_effort=reasoning_effort,
                     created_by=created_by,
                     created=now,
                     updated=now,

turnstone/core/storage/_protocol.py

@@ -1070,6 +1070,9 @@ class StorageBackend(Protocol):
         capabilities: str = "{}",
         enabled: bool = True,
         created_by: str = "",
+        temperature: float | None = None,
+        max_tokens: int | None = None,
+        reasoning_effort: str | None = None,
     ) -> None:
         """Create a model definition. No-op if definition_id already exists."""
         ...

turnstone/core/storage/_schema.py

@@ -587,6 +587,9 @@ model_definitions = sa.Table(
     sa.Column("context_window", sa.Integer, nullable=False, server_default="32768"),
     sa.Column("capabilities", sa.Text, nullable=False, server_default="{}"),
     sa.Column("enabled", sa.Integer, nullable=False, server_default="1"),
+    sa.Column("temperature", sa.Float, nullable=True),
+    sa.Column("max_tokens", sa.Integer, nullable=True),
+    sa.Column("reasoning_effort", sa.Text, nullable=True),
     sa.Column("created_by", sa.Text, nullable=False, server_default=""),
     sa.Column("created", sa.Text, nullable=False),
     sa.Column("updated", sa.Text, nullable=False),

turnstone/core/storage/_sqlite.py

@@ -3147,6 +3147,9 @@ class SQLiteBackend:
         capabilities: str = "{}",
         enabled: bool = True,
         created_by: str = "",
+        temperature: float | None = None,
+        max_tokens: int | None = None,
+        reasoning_effort: str | None = None,
     ) -> None:
 
         now = datetime.now(UTC).strftime("%Y-%m-%dT%H:%M:%S")
@@ -3163,6 +3166,9 @@ class SQLiteBackend:
                     "context_window": context_window,
                     "capabilities": capabilities,
                     "enabled": 1 if enabled else 0,
+                    "temperature": temperature,
+                    "max_tokens": max_tokens,
+                    "reasoning_effort": reasoning_effort,
                     "created_by": created_by,
                     "created": now,
                     "updated": now,

turnstone/core/storage/_utils.py

@@ -106,6 +106,9 @@ MODEL_DEFINITION_MUTABLE = frozenset(
         "context_window",
         "capabilities",
         "enabled",
+        "temperature",
+        "max_tokens",
+        "reasoning_effort",
     }
 )
 PROMPT_POLICY_MUTABLE = frozenset({"name", "content", "tool_gate", "priority", "enabled"})

turnstone/core/storage/migrations/versions/036_model_sampling_params.py

@@ -0,0 +1,32 @@
+"""Add per-model sampling parameters to model_definitions.
+
+Adds nullable temperature, max_tokens, and reasoning_effort columns
+so each model can override the global defaults.  NULL means "inherit
+the cluster-wide setting from system_settings".
+
+Revision ID: 036
+Revises: 035
+Create Date: 2026-04-13
+"""
+
+import sqlalchemy as sa
+from alembic import op
+
+revision = "036"
+down_revision = "035"
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    with op.batch_alter_table("model_definitions") as batch:
+        batch.add_column(sa.Column("temperature", sa.Float, nullable=True))
+        batch.add_column(sa.Column("max_tokens", sa.Integer, nullable=True))
+        batch.add_column(sa.Column("reasoning_effort", sa.Text, nullable=True))
+
+
+def downgrade() -> None:
+    with op.batch_alter_table("model_definitions") as batch:
+        batch.drop_column("reasoning_effort")
+        batch.drop_column("max_tokens")
+        batch.drop_column("temperature")

turnstone/deploy/compose.yaml

@@ -9,7 +9,7 @@
 #   Infra only:           docker compose up
 #   Single node:          docker compose --profile production up
 #   Production (PG):      docker compose --profile production up
-#                         (set DB_BACKEND, DATABASE_URL, POSTGRES_PASSWORD in .env)
+#                         (set TURNSTONE_DB_BACKEND, TURNSTONE_DB_URL, POSTGRES_PASSWORD in .env)
 #
 # Set TURNSTONE_IMAGE_TAG in .env to pin the image version (default: latest).
 # =============================================================================
@@ -94,8 +94,8 @@ services:
       - TURNSTONE_JWT_SECRET=${TURNSTONE_JWT_SECRET:?Set TURNSTONE_JWT_SECRET in .env}
       - MODEL=${MODEL:-}
       - MCP_CONFIG=${MCP_CONFIG:-}
-      - TURNSTONE_DB_BACKEND=${DB_BACKEND:-sqlite}
-      - TURNSTONE_DB_URL=${DATABASE_URL:-}
+      - TURNSTONE_DB_BACKEND=${TURNSTONE_DB_BACKEND:-sqlite}
+      - TURNSTONE_DB_URL=${TURNSTONE_DB_URL:-}
       - TURNSTONE_NODE_ID=${TURNSTONE_NODE_ID:-}
       - TURNSTONE_ADVERTISE_URL=${TURNSTONE_ADVERTISE_URL:-http://server:8080}
     extra_hosts:
@@ -128,8 +128,8 @@ services:
     environment:
       # Generate with: python -c "import secrets; print(secrets.token_hex(32))"
       - TURNSTONE_JWT_SECRET=${TURNSTONE_JWT_SECRET:?Set TURNSTONE_JWT_SECRET in .env}
-      - TURNSTONE_DB_BACKEND=${DB_BACKEND:-sqlite}
-      - TURNSTONE_DB_URL=${DATABASE_URL:-}
+      - TURNSTONE_DB_BACKEND=${TURNSTONE_DB_BACKEND:-sqlite}
+      - TURNSTONE_DB_URL=${TURNSTONE_DB_URL:-}
       - TURNSTONE_CONSOLE_URL=http://console:8090
     networks:
       - turnstone-net
@@ -161,8 +161,8 @@ services:
       - TURNSTONE_DISCORD_GUILD=${TURNSTONE_DISCORD_GUILD:-0}
       # Generate with: python -c "import secrets; print(secrets.token_hex(32))"
       - TURNSTONE_JWT_SECRET=${TURNSTONE_JWT_SECRET:?Set TURNSTONE_JWT_SECRET in .env}
-      - TURNSTONE_DB_BACKEND=${DB_BACKEND:-postgresql}
-      - TURNSTONE_DB_URL=${DATABASE_URL:-postgresql+psycopg://${POSTGRES_USER:-turnstone}:${POSTGRES_PASSWORD:-turnstone}@postgres:5432/turnstone}
+      - TURNSTONE_DB_BACKEND=${TURNSTONE_DB_BACKEND:-postgresql}
+      - TURNSTONE_DB_URL=${TURNSTONE_DB_URL:-postgresql+psycopg://${POSTGRES_USER:-turnstone}:${POSTGRES_PASSWORD:-turnstone}@postgres:5432/turnstone}
       - TURNSTONE_CHANNEL_ADVERTISE_URL=http://channel:8091
     networks:
       - turnstone-net

turnstone/server.py

@@ -2774,6 +2774,9 @@ def internal_model_status(request: Request) -> JSONResponse:
             "source": cfg.source,
             "context_window": cfg.context_window,
             "enabled": True,
+            "temperature": cfg.temperature,
+            "max_tokens": cfg.max_tokens,
+            "reasoning_effort": cfg.reasoning_effort,
         }
     return JSONResponse({"models": models})
 
@@ -3406,9 +3409,8 @@ def main() -> None:
 
     client = create_client(provider_name, base_url=base_url, api_key=api_key)
 
-    cs_model = config_store.get("model.name")
     cli_model = args.model
-    effective_model = cli_model or cs_model or None
+    effective_model = cli_model or None
     if effective_model:
         model = effective_model
         detected_ctx = None
@@ -3422,13 +3424,10 @@ def main() -> None:
             # entry and relies on DB / config.toml models instead.
             model = ""
 
-    # Use detected context window, fall back to ConfigStore override or 32768
-    cfg_ctx = config_store.get("model.context_window")
+    # Use detected context window, fall back to 32768
     if detected_ctx:
         context_window = detected_ctx
         log.info("Context window: %s (detected from backend)", f"{context_window:,}")
-    elif cfg_ctx:  # 0 = auto-detect (no override)
-        context_window = cfg_ctx
     else:
         context_window = 32768
 
@@ -3595,15 +3594,32 @@ def main() -> None:
             except Exception as e:
                 log.warning("Failed to resolve judge_model %r: %s", judge_model, e)
 
+        # Per-model sampling overrides take priority over global defaults
+        eff_temperature = (
+            r_cfg.temperature
+            if r_cfg.temperature is not None
+            else config_store.get("model.temperature")
+        )
+        eff_max_tokens = (
+            r_cfg.max_tokens
+            if r_cfg.max_tokens is not None
+            else config_store.get("model.max_tokens")
+        )
+        eff_reasoning_effort = (
+            r_cfg.reasoning_effort
+            if r_cfg.reasoning_effort is not None
+            else config_store.get("model.reasoning_effort")
+        )
+
         return ChatSession(
             client=r_client,
             model=r_model,
             ui=ui,
             instructions=config_store.get("session.instructions") or None,
-            temperature=config_store.get("model.temperature"),
-            max_tokens=config_store.get("model.max_tokens"),
+            temperature=eff_temperature,
+            max_tokens=eff_max_tokens,
             tool_timeout=config_store.get("tools.timeout"),
-            reasoning_effort=config_store.get("model.reasoning_effort"),
+            reasoning_effort=eff_reasoning_effort,
             context_window=r_cfg.context_window,
             compact_max_tokens=config_store.get("session.compact_max_tokens"),
             auto_compact_pct=config_store.get("session.auto_compact_pct"),
@@ -3715,15 +3731,15 @@ def main() -> None:
 
     cors_origins = parse_cors_origins()
 
-    # Construct advertise URL for service registration.
-    # In Docker/k8s, socket.gethostname() returns the container ID which
-    # isn't DNS-resolvable by other containers.  Priority:
-    # 1. TURNSTONE_ADVERTISE_URL env var (explicit override)
+    # Construct advertise URL for service registration.  Priority:
+    # 1. TURNSTONE_ADVERTISE_URL env var (required in Docker/k8s where
+    #    gethostname() returns a container ID that peers can't resolve)
     # 2. Explicit --host (not a wildcard bind address)
-    # 3. socket.getfqdn() (may work in k8s with proper DNS)
+    # 3. socket.gethostname() (bare-metal fallback; getfqdn() does
+    #    reverse DNS which often truncates the hostname)
     _advertise_url = os.environ.get("TURNSTONE_ADVERTISE_URL", "")
     if not _advertise_url:
-        _advertise_host = args.host if args.host not in ("0.0.0.0", "::") else socket.getfqdn()
+        _advertise_host = args.host if args.host not in ("0.0.0.0", "::") else socket.gethostname()
         _advertise_url = f"http://{_advertise_host}:{args.port}"
 
     _skip_perms = config_store.get("tools.skip_permissions")
@@ -3793,8 +3809,11 @@ def main() -> None:
 
             from turnstone.core.tls import TLSClient
 
-            hostname = socket.getfqdn()
+            hostname = socket.gethostname()
+            fqdn = socket.getfqdn()
             hostnames = [hostname, "localhost", "127.0.0.1"]
+            if fqdn != hostname:
+                hostnames.append(fqdn)
             # Only add bind host if it's a concrete address
             if args.host not in ("0.0.0.0", "::", ""):
                 hostnames.append(args.host)

turnstone/ui/static/app.js

@@ -3368,6 +3368,7 @@ function renderSavedWorkstreams(items) {
       chk.type = "checkbox";
       chk.className = "ws-card-check";
       chk.checked = !!_wsDeleteSelected[sess.ws_id];
+      chk.setAttribute("aria-label", "Select " + label + " for deletion");
       chk.onclick = function (e) {
         e.stopPropagation();
         if (chk.checked) _wsDeleteSelected[sess.ws_id] = true;
@@ -3376,11 +3377,19 @@ function renderSavedWorkstreams(items) {
         updateWsDeleteBar();
       };
       card.appendChild(chk);
+      card.setAttribute("tabindex", "0");
       card.onclick = function (e) {
         if (e.target === chk) return;
         chk.checked = !chk.checked;
         chk.onclick(e);
       };
+      card.onkeydown = function (e) {
+        if (e.key === "Enter" || e.key === " ") {
+          e.preventDefault();
+          chk.checked = !chk.checked;
+          chk.onclick(e);
+        }
+      };
     } else {
       card.setAttribute("role", "button");
       card.setAttribute("tabindex", "0");
@@ -3505,6 +3514,7 @@ function confirmWsDeleteSelection() {
   if (delBtn) {
     delBtn.textContent = "Delete";
     delBtn.disabled = false;
+    delBtn.classList.remove("ws-delete-close");
     delBtn.onclick = confirmWsDelete;
   }
   var cancelBtn = document.getElementById("ws-delete-cancel-btn");
@@ -3636,6 +3646,7 @@ function confirmWsDelete() {
     if (delBtn) {
       delBtn.disabled = false;
       delBtn.textContent = "Close";
+      delBtn.classList.add("ws-delete-close");
       delBtn.onclick = function () {
         cancelWsDelete();
         cancelWsDeleteMode();

turnstone/ui/static/index.html

@@ -60,7 +60,7 @@
       <div id="ws-delete-bar" class="ws-delete-bar">
         <span class="ws-delete-count-label" id="ws-delete-bar-count" role="status" aria-live="polite" aria-atomic="true">0 selected</span>
         <button class="ws-delete-cancel-btn" onclick="cancelWsDeleteMode()">Cancel</button>
-        <button class="ws-delete-cancel-btn" id="ws-delete-bar-select-all" onclick="toggleSelectAll()">Select All</button>
+        <button class="ws-delete-selectall-btn" id="ws-delete-bar-select-all" onclick="toggleSelectAll()">Select All</button>
         <button class="ws-delete-bar-btn" id="ws-delete-bar-delete" onclick="confirmWsDeleteSelection()" disabled>Delete Selected</button>
       </div>
     </section>

turnstone/ui/static/style.css

@@ -1504,8 +1504,12 @@ audio.media-player {
 .dashboard-card .card-meta { font-size: 11px; color: var(--fg-dim); }
 
 /* Delete mode */
-.dashboard-card.ws-delete-mode { cursor: default; }
-.dashboard-card.ws-delete-mode:hover { border-color: var(--border); background: var(--bg-surface); }
+.dashboard-card.ws-delete-mode { cursor: pointer; }
+.dashboard-card.ws-delete-mode:hover { border-color: var(--red); background: rgba(248, 113, 113, 0.04); }
+.dashboard-card.ws-delete-mode.ws-selected { cursor: default; }
+.dashboard-card.ws-delete-mode.ws-selected:hover { border-color: var(--red); background: rgba(248, 113, 113, 0.08); }
+[data-theme="light"] .dashboard-card.ws-delete-mode:hover { background: rgba(220, 38, 38, 0.04); }
+[data-theme="light"] .dashboard-card.ws-delete-mode.ws-selected:hover { background: rgba(220, 38, 38, 0.08); }
 .ws-card-check {
   position: absolute;
   top: 8px;
@@ -1515,7 +1519,10 @@ audio.media-player {
   accent-color: var(--red);
   cursor: pointer;
   z-index: 1;
+  opacity: 0;
+  animation: ws-check-fadein 0.2s ease-out forwards;
 }
+@keyframes ws-check-fadein { to { opacity: 1; } }
 .dashboard-card.ws-selected {
   border-color: var(--red);
   background: rgba(248, 113, 113, 0.08);
@@ -1533,7 +1540,12 @@ audio.media-player {
   border: 1px solid var(--border);
   border-radius: var(--radius);
 }
-.ws-delete-bar.visible { display: flex; }
+.ws-delete-bar.visible { display: flex; animation: ws-bar-slide 0.2s ease-out; }
+@keyframes ws-bar-slide { from { opacity: 0; transform: translateY(-8px); } to { opacity: 1; transform: translateY(0); } }
+@media (prefers-reduced-motion: reduce) {
+  .ws-card-check { animation: none; opacity: 1; }
+  .ws-delete-bar.visible { animation: none; }
+}
 .ws-delete-bar .ws-delete-count-label { font-size: 12px; color: var(--fg-dim); }
 .ws-delete-bar .ws-delete-bar-btn {
   margin-left: auto;
@@ -1563,6 +1575,20 @@ audio.media-player {
   border-color: var(--border-strong);
   background: var(--bg-highlight);
 }
+.ws-delete-bar .ws-delete-selectall-btn {
+  background: transparent;
+  color: var(--fg-bright);
+  border: 1px solid var(--border);
+  border-radius: var(--radius);
+  padding: 6px 12px;
+  font-size: 12px;
+  font-weight: 500;
+  cursor: pointer;
+}
+.ws-delete-bar .ws-delete-selectall-btn:hover {
+  border-color: var(--border-strong);
+  background: var(--bg-highlight);
+}
 
 /* Delete modal */
 #ws-delete-overlay {
@@ -1608,6 +1634,11 @@ audio.media-player {
   color: #fff;
   border-color: var(--red);
 }
+#ws-delete-buttons button.ws-delete-close {
+  background: transparent;
+  color: var(--fg-bright);
+  border-color: var(--border);
+}
 
 /* Server dashboard row — clickable */
 .dash-row { cursor: pointer; }

uv.lock

@@ -155,7 +155,7 @@ wheels = [
 
 [[package]]
 name = "anthropic"
-version = "0.89.0"
+version = "0.94.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "anyio" },
@@ -167,9 +167,9 @@ dependencies = [
     { name = "sniffio" },
     { name = "typing-extensions" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/60/af/862e216dd6c5e9bc02fb374eeaaa19017c51b90ddfa5692668a3811947bd/anthropic-0.89.0.tar.gz", hash = "sha256:f3d75b8ccef4b35f3702639519e461eba437d4bcdfabb69378c65a02ab7bda66", size = 596758, upload-time = "2026-04-03T18:57:01.348Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/60/d7/11a649b986da06aaeb81334632f1843d70e3797f54ca4a9c5d604b7987d0/anthropic-0.94.0.tar.gz", hash = "sha256:dde8c57de73538c5136c1bca9b16da92e75446b53a73562cc911574e4934435c", size = 654236, upload-time = "2026-04-10T22:27:59.853Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/22/ba/9f973f22abb512d5d17428a76e4ecbc8d49b9dd1b5a1152576d48c24dc1d/anthropic-0.89.0-py3-none-any.whl", hash = "sha256:c6d23854af798f2471ca3bc653cca394d392cc272fe803d3da9d63575b8445f0", size = 478847, upload-time = "2026-04-03T18:56:59.54Z" },
+    { url = "https://files.pythonhosted.org/packages/0c/ac/7185750e8688f6ff79b0e3d6a61372c88b81ba81fcda8798c70598e18aca/anthropic-0.94.0-py3-none-any.whl", hash = "sha256:42550b401eed8fcd7f6654234560f99c428306301bca726d32bca4bfb6feb748", size = 627519, upload-time = "2026-04-10T22:27:57.541Z" },
 ]
 
 [[package]]
@@ -538,75 +538,75 @@ wheels = [
 
 [[package]]
 name = "cryptography"
-version = "46.0.6"
+version = "46.0.7"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "cffi", marker = "platform_python_implementation != 'PyPy'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/a4/ba/04b1bd4218cbc58dc90ce967106d51582371b898690f3ae0402876cc4f34/cryptography-46.0.6.tar.gz", hash = "sha256:27550628a518c5c6c903d84f637fbecf287f6cb9ced3804838a1295dc1fd0759", size = 750542, upload-time = "2026-03-25T23:34:53.396Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/47/93/ac8f3d5ff04d54bc814e961a43ae5b0b146154c89c61b47bb07557679b18/cryptography-46.0.7.tar.gz", hash = "sha256:e4cfd68c5f3e0bfdad0d38e023239b96a2fe84146481852dffbcca442c245aa5", size = 750652, upload-time = "2026-04-08T01:57:54.692Z" }
 wheels = [
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