common : gpt-oss handle builtin and unsolicited tool calls (#21213)

- emdeddings → embeddings (gemma3.cpp, gemma3n-iswa.cpp,
gemma-embedding.cpp)
- imlpemented → implemented (llama-adapter.cpp)
- interere → interfere (llama-graph.cpp)
- overridde → overridden (chat.cpp)
- stastistics → statistics (ngram-map.h)
- layed → laid (llama-kv-cache.h)
- worster → worst (llama-context.cpp)
- sequantial → sequential (llama-batch.h)

.devops/cpu.Dockerfile

@@ -36,7 +36,7 @@ RUN mkdir -p /app/full \
 FROM ubuntu:$UBUNTU_VERSION AS base
 
 RUN apt-get update \
-    && apt-get install -y libgomp1 curl\
+    && apt-get install -y libgomp1 curl \
     && apt autoremove -y \
     && apt clean -y \
     && rm -rf /tmp/* /var/tmp/* \

.devops/cuda-new.Dockerfile

@@ -1,6 +1,6 @@
 ARG UBUNTU_VERSION=24.04
 # This needs to generally match the container host's environment.
-ARG CUDA_VERSION=13.1.0
+ARG CUDA_VERSION=13.1.1
 # Target the CUDA build image
 ARG BASE_CUDA_DEV_CONTAINER=nvidia/cuda:${CUDA_VERSION}-devel-ubuntu${UBUNTU_VERSION}
 
@@ -12,7 +12,9 @@ FROM ${BASE_CUDA_DEV_CONTAINER} AS build
 ARG CUDA_DOCKER_ARCH=default
 
 RUN apt-get update && \
-    apt-get install -y build-essential cmake python3 python3-pip git libssl-dev libgomp1
+    apt-get install -y gcc-14 g++-14 build-essential cmake python3 python3-pip git libssl-dev libgomp1
+
+ENV CC=gcc-14 CXX=g++-14 CUDAHOSTCXX=g++-14
 
 WORKDIR /app
 
@@ -39,7 +41,7 @@ RUN mkdir -p /app/full \
 FROM ${BASE_CUDA_RUN_CONTAINER} AS base
 
 RUN apt-get update \
-    && apt-get install -y libgomp1 curl\
+    && apt-get install -y libgomp1 curl \
     && apt autoremove -y \
     && apt clean -y \
     && rm -rf /tmp/* /var/tmp/* \

.devops/cuda.Dockerfile

@@ -1,6 +1,6 @@
-ARG UBUNTU_VERSION=22.04
+ARG UBUNTU_VERSION=24.04
 # This needs to generally match the container host's environment.
-ARG CUDA_VERSION=12.4.0
+ARG CUDA_VERSION=12.8.1
 # Target the CUDA build image
 ARG BASE_CUDA_DEV_CONTAINER=nvidia/cuda:${CUDA_VERSION}-devel-ubuntu${UBUNTU_VERSION}
 
@@ -12,7 +12,9 @@ FROM ${BASE_CUDA_DEV_CONTAINER} AS build
 ARG CUDA_DOCKER_ARCH=default
 
 RUN apt-get update && \
-    apt-get install -y build-essential cmake python3 python3-pip git libssl-dev libgomp1
+    apt-get install -y gcc-14 g++-14 build-essential cmake python3 python3-pip git libssl-dev libgomp1
+
+ENV CC=gcc-14 CXX=g++-14 CUDAHOSTCXX=g++-14
 
 WORKDIR /app
 
@@ -39,7 +41,7 @@ RUN mkdir -p /app/full \
 FROM ${BASE_CUDA_RUN_CONTAINER} AS base
 
 RUN apt-get update \
-    && apt-get install -y libgomp1 curl\
+    && apt-get install -y libgomp1 curl \
     && apt autoremove -y \
     && apt clean -y \
     && rm -rf /tmp/* /var/tmp/* \
@@ -60,7 +62,8 @@ RUN apt-get update \
     git \
     python3 \
     python3-pip \
-    && pip install --upgrade pip setuptools wheel \
+    python3-wheel \
+    && pip install --break-system-packages --upgrade setuptools \
     && pip install --break-system-packages -r requirements.txt \
     && apt autoremove -y \
     && apt clean -y \

.devops/intel.Dockerfile

@@ -51,7 +51,7 @@ RUN mkdir /tmp/neo/ && cd /tmp/neo/ \
   && dpkg --install *.deb
 
 RUN apt-get update \
-    && apt-get install -y libgomp1 curl\
+    && apt-get install -y libgomp1 curl \
     && apt autoremove -y \
     && apt clean -y \
     && rm -rf /tmp/* /var/tmp/* \

.devops/musa.Dockerfile

@@ -46,7 +46,7 @@ RUN mkdir -p /app/full \
 FROM ${BASE_MUSA_RUN_CONTAINER} AS base
 
 RUN apt-get update \
-    && apt-get install -y libgomp1 curl\
+    && apt-get install -y libgomp1 curl \
     && apt autoremove -y \
     && apt clean -y \
     && rm -rf /tmp/* /var/tmp/* \

.devops/openvino.Dockerfile

@@ -78,7 +78,7 @@ ARG http_proxy
 ARG https_proxy
 
 RUN apt-get update \
-    && apt-get install -y libgomp1 libtbb12 curl\
+    && apt-get install -y libgomp1 libtbb12 curl \
     && apt autoremove -y \
     && apt clean -y \
     && rm -rf /tmp/* /var/tmp/* \

.devops/rocm.Dockerfile

@@ -58,7 +58,7 @@ RUN mkdir -p /app/full \
 FROM ${BASE_ROCM_DEV_CONTAINER} AS base
 
 RUN apt-get update \
-    && apt-get install -y libgomp1 curl\
+    && apt-get install -y libgomp1 curl \
     && apt autoremove -y \
     && apt clean -y \
     && rm -rf /tmp/* /var/tmp/* \
@@ -79,7 +79,7 @@ RUN apt-get update \
     git \
     python3-pip \
     python3 \
-    python3-wheel\
+    python3-wheel \
     && pip install --break-system-packages --upgrade setuptools \
     && pip install --break-system-packages -r requirements.txt \
     && apt autoremove -y \

.devops/vulkan.Dockerfile

@@ -49,17 +49,20 @@ COPY --from=build /app/full /app
 
 WORKDIR /app
 
+ENV PATH="/root/.venv/bin:/root/.local/bin:${PATH}"
+
+# Flag for compatibility with pip
+ARG UV_INDEX_STRATEGY="unsafe-best-match"
 RUN apt-get update \
     && apt-get install -y \
     build-essential \
+    curl \
     git \
-    python3.13 \
-    python3.13-dev \
-    python3-pip \
-    python3-wheel \
-    && update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.13 100 \
-    && pip install --break-system-packages --upgrade setuptools \
-    && pip install --break-system-packages -r requirements.txt \
+    ca-certificates \
+    && curl -LsSf https://astral.sh/uv/install.sh | sh \
+    && uv python install 3.13 \
+    && uv venv --python 3.13 /root/.venv \
+    && uv pip install --python /root/.venv/bin/python -r requirements.txt \
     && apt autoremove -y \
     && apt clean -y \
     && rm -rf /tmp/* /var/tmp/* \

.github/workflows/build.yml

@@ -181,7 +181,7 @@ jobs:
           - build: 'x64'
             os: ubuntu-22.04
           - build: 'arm64'
-            os: ubuntu-22.04-arm
+            os: ubuntu-24.04-arm
           - build: 's390x'
             os: ubuntu-24.04-s390x
           - build: 'ppc64le'
@@ -207,14 +207,22 @@ jobs:
         run: |
           sudo apt-get update
           sudo apt-get install -y --no-install-recommends \
-            python3 python3-pip python3-dev \
+            python3 python3-pip python3-dev python3-wheel \
             libjpeg-dev build-essential libssl-dev \
             git-lfs
 
+      - name: Toolchain workaround (GCC 14)
+        if: ${{ contains(matrix.os, 'ubuntu-24.04') }}
+        run: |
+          sudo apt-get install -y gcc-14 g++-14
+          echo "CC=gcc-14" >> "$GITHUB_ENV"
+          echo "CXX=g++-14" >> "$GITHUB_ENV"
+
       - name: Python Dependencies
         id: python_depends
         run: |
-          python3 -m pip install --upgrade pip
+          export PIP_BREAK_SYSTEM_PACKAGES="1"
+          python3 -m pip install --upgrade pip setuptools
           pip3 install ./gguf-py
 
       - name: Swap Endianness
@@ -292,7 +300,15 @@ jobs:
           ctest -L main --verbose
 
   ubuntu-24-vulkan:
-    runs-on: ${{ 'ubuntu-24.04-arm' || 'ubuntu-24.04' }}
+    strategy:
+      matrix:
+        include:
+          - build: 'x64'
+            os: ubuntu-24.04
+          - build: 'arm64'
+            os: ubuntu-24.04-arm
+
+    runs-on: ${{ matrix.os }}
 
     steps:
       - name: Clone
@@ -302,7 +318,10 @@ jobs:
       - name: Dependencies
         id: depends
         run: |
-          sudo apt-get install -y glslc libvulkan-dev libssl-dev ninja-build
+          sudo apt-get update
+          sudo apt-get install -y gcc-14 g++-14 build-essential glslc libvulkan-dev libssl-dev ninja-build
+          echo "CC=gcc-14" >> "$GITHUB_ENV"
+          echo "CXX=g++-14" >> "$GITHUB_ENV"
 
       - name: Configure
         id: cmake_configure

.github/workflows/docker.yml

@@ -25,184 +25,13 @@ permissions:
   packages: write
 
 jobs:
-  push_to_registry:
-    name: Push Docker image to Docker Hub
-
-    runs-on: ${{ matrix.config.runs_on }}
-    env:
-      COMMIT_SHA: ${{ github.sha }}
-    strategy:
-      fail-fast: false
-      matrix:
-        config:
-          # Multi-stage build
-          - { tag: "cpu", dockerfile: ".devops/cpu.Dockerfile", platforms: "linux/arm64", full: true, light: true, server: true, free_disk_space: false, runs_on: "ubuntu-24.04" }
-          - { tag: "cpu", dockerfile: ".devops/cpu.Dockerfile", platforms: "linux/amd64", full: true, light: true, server: true, free_disk_space: false, runs_on: "ubuntu-24.04" }
-          - { tag: "cuda cuda12", dockerfile: ".devops/cuda.Dockerfile", platforms: "linux/amd64", full: true, light: true, server: true, free_disk_space: true,  runs_on: "ubuntu-24.04", cuda_version: "12.4.0", ubuntu_version: "22.04" }
-          - { tag: "cuda13", dockerfile: ".devops/cuda-new.Dockerfile",  platforms: "linux/amd64", full: true, light: true, server: true, free_disk_space: true,  runs_on: "ubuntu-24.04", cuda_version: "13.1.0", ubuntu_version: "24.04" }
-          - { tag: "musa",   dockerfile: ".devops/musa.Dockerfile",   platforms: "linux/amd64", full: true, light: true, server: true, free_disk_space: true,  runs_on: "ubuntu-24.04" }
-          - { tag: "intel",  dockerfile: ".devops/intel.Dockerfile",  platforms: "linux/amd64", full: true, light: true, server: true, free_disk_space: true,  runs_on: "ubuntu-24.04" }
-          - { tag: "vulkan", dockerfile: ".devops/vulkan.Dockerfile", platforms: "linux/amd64", full: true, light: true, server: true, free_disk_space: false, runs_on: "ubuntu-24.04" }
-          - { tag: "s390x",  dockerfile: ".devops/s390x.Dockerfile",  platforms: "linux/s390x", full: true, light: true, server: true, free_disk_space: false, runs_on: "ubuntu-24.04-s390x" }
-          - { tag: "rocm",   dockerfile: ".devops/rocm.Dockerfile",   platforms: "linux/amd64", full: true, light: true, server: true, free_disk_space: true,  runs_on: "ubuntu-24.04" }
-          - { tag: "openvino", dockerfile: ".devops/openvino.Dockerfile", platforms: "linux/amd64", full: true, light: true, server: true, free_disk_space: false, runs_on: "ubuntu-24.04" }
-    steps:
-      - name: Check out the repo
-        uses: actions/checkout@v6
-        with:
-          fetch-depth: 0 # preserve git history, so we can determine the build number
-
-      - name: Set up QEMU
-        if: ${{ matrix.config.tag != 's390x' }}
-        uses: docker/setup-qemu-action@c7c53464625b32c7a7e944ae62b3e17d2b600130 # v3
-        with:
-          image: tonistiigi/binfmt:qemu-v10.2.1
-
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@8d2750c68a42422c14e847fe6c8ac0403b4cbd6f # v3
-
-      - name: Log in to Docker Hub
-        uses: docker/login-action@c94ce9fb468520275223c153574b00df6fe4bcc9 # v3
-        with:
-          registry: ghcr.io
-          username: ${{ github.repository_owner }}
-          password: ${{ secrets.GITHUB_TOKEN }}
-
-      - name: Determine source tag name
-        id: srctag
-        uses: ./.github/actions/get-tag-name
-        env:
-          BRANCH_NAME: ${{ github.head_ref || github.ref_name }}
-
-      - name: Determine image tag name
-        id: tag
-        shell: bash
-        run: |
-          REPO_OWNER="${GITHUB_REPOSITORY_OWNER@L}"  # to lower case
-          REPO_NAME="${{ github.event.repository.name }}"
-          PREFIX="ghcr.io/${REPO_OWNER}/${REPO_NAME}:"
-
-          # list all tags possible
-          tags="${{ matrix.config.tag }}"
-          for tag in $tags; do
-              if [[ "$tag" == "cpu" ]]; then
-                  TYPE=""
-              else
-                  TYPE="-$tag"
-              fi
-              CACHETAGS="${PREFIX}buildcache${TYPE}"
-              FULLTAGS="${FULLTAGS:+$FULLTAGS,}${PREFIX}full${TYPE},${PREFIX}full${TYPE}-${{ steps.srctag.outputs.name }}"
-              LIGHTTAGS="${LIGHTTAGS:+$LIGHTTAGS,}${PREFIX}light${TYPE},${PREFIX}light${TYPE}-${{ steps.srctag.outputs.name }}"
-              SERVERTAGS="${SERVERTAGS:+$SERVERTAGS,}${PREFIX}server${TYPE},${PREFIX}server${TYPE}-${{ steps.srctag.outputs.name }}"
-          done
-          echo "cache_output_tags=$CACHETAGS" >> $GITHUB_OUTPUT
-          echo "full_output_tags=$FULLTAGS" >> $GITHUB_OUTPUT
-          echo "light_output_tags=$LIGHTTAGS" >> $GITHUB_OUTPUT
-          echo "server_output_tags=$SERVERTAGS" >> $GITHUB_OUTPUT
-          echo "cache_output_tags=$CACHETAGS"  # print out for debugging
-          echo "full_output_tags=$FULLTAGS"  # print out for debugging
-          echo "light_output_tags=$LIGHTTAGS"  # print out for debugging
-          echo "server_output_tags=$SERVERTAGS"  # print out for debugging
-        env:
-          GITHUB_REPOSITORY_OWNER: '${{ github.repository_owner }}'
-
-      - name: Free Disk Space (Ubuntu)
-        if: ${{ matrix.config.free_disk_space == true }}
-        uses: ggml-org/free-disk-space@v1.3.1
-        with:
-          # this might remove tools that are actually needed,
-          # if set to "true" but frees about 6 GB
-          tool-cache: false
-
-          # all of these default to true, but feel free to set to
-          # "false" if necessary for your workflow
-          android: true
-          dotnet: true
-          haskell: true
-          large-packages: true
-          docker-images: true
-          swap-storage: true
-
-      - name: Build and push Full Docker image (tagged + versioned)
-        if: ${{ (github.event_name == 'push' || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch') && matrix.config.full == true }}
-        uses: docker/build-push-action@10e90e3645eae34f1e60eeb005ba3a3d33f178e8 # v6
-        with:
-          context: .
-          push: true
-          platforms: ${{ matrix.config.platforms }}
-          # tag list is generated from step above
-          tags: ${{ steps.tag.outputs.full_output_tags }}
-          file: ${{ matrix.config.dockerfile }}
-          target: full
-          provenance: false
-          build-args: |
-            ${{ matrix.config.ubuntu_version && format('UBUNTU_VERSION={0}', matrix.config.ubuntu_version) || '' }}
-            ${{ matrix.config.cuda_version && format('CUDA_VERSION={0}', matrix.config.cuda_version) || '' }}
-          # using github experimental cache
-          #cache-from: type=gha
-          #cache-to: type=gha,mode=max
-          # return to this if the experimental github cache is having issues
-          #cache-to: type=local,dest=/tmp/.buildx-cache
-          #cache-from: type=local,src=/tmp/.buildx-cache
-          # using registry cache (no storage limit)
-          cache-from: type=registry,ref=${{ steps.tag.outputs.cache_output_tags }}
-          cache-to: type=registry,ref=${{ steps.tag.outputs.cache_output_tags }},mode=max
-
-      - name: Build and push Light Docker image (tagged + versioned)
-        if: ${{ (github.event_name == 'push' || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch') && matrix.config.light == true }}
-        uses: docker/build-push-action@10e90e3645eae34f1e60eeb005ba3a3d33f178e8 # v6
-        with:
-          context: .
-          push: true
-          platforms: ${{ matrix.config.platforms }}
-          # tag list is generated from step above
-          tags: ${{ steps.tag.outputs.light_output_tags }}
-          file: ${{ matrix.config.dockerfile }}
-          target: light
-          provenance: false
-          build-args: |
-            ${{ matrix.config.ubuntu_version && format('UBUNTU_VERSION={0}', matrix.config.ubuntu_version) || '' }}
-            ${{ matrix.config.cuda_version && format('CUDA_VERSION={0}', matrix.config.cuda_version) || '' }}
-          # using github experimental cache
-          #cache-from: type=gha
-          #cache-to: type=gha,mode=max
-          # return to this if the experimental github cache is having issues
-          #cache-to: type=local,dest=/tmp/.buildx-cache
-          #cache-from: type=local,src=/tmp/.buildx-cache
-          # using registry cache (no storage limit)
-          cache-from: type=registry,ref=${{ steps.tag.outputs.cache_output_tags }}
-          cache-to: type=registry,ref=${{ steps.tag.outputs.cache_output_tags }},mode=max
-
-      - name: Build and push Server Docker image (tagged + versioned)
-        if: ${{ (github.event_name == 'push' || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch') && matrix.config.server == true }}
-        uses: docker/build-push-action@10e90e3645eae34f1e60eeb005ba3a3d33f178e8 # v6
-        with:
-          context: .
-          push: true
-          platforms: ${{ matrix.config.platforms }}
-          # tag list is generated from step above
-          tags: ${{ steps.tag.outputs.server_output_tags }}
-          file: ${{ matrix.config.dockerfile }}
-          target: server
-          provenance: false
-          build-args: |
-            ${{ matrix.config.ubuntu_version && format('UBUNTU_VERSION={0}', matrix.config.ubuntu_version) || '' }}
-            ${{ matrix.config.cuda_version && format('CUDA_VERSION={0}', matrix.config.cuda_version) || '' }}
-          # using github experimental cache
-          #cache-from: type=gha
-          #cache-to: type=gha,mode=max
-          # return to this if the experimental github cache is having issues
-          #cache-to: type=local,dest=/tmp/.buildx-cache
-          #cache-from: type=local,src=/tmp/.buildx-cache
-          # using registry cache (no storage limit)
-          cache-from: type=registry,ref=${{ steps.tag.outputs.cache_output_tags }}
-          cache-to: type=registry,ref=${{ steps.tag.outputs.cache_output_tags }},mode=max
-
   create_tag:
     name: Create and push git tag
-    runs-on: ubuntu-22.04
+    runs-on: ubuntu-slim
     permissions:
       contents: write
+    outputs:
+      source_tag: ${{ steps.srctag.outputs.name }}
 
     steps:
       - name: Clone
@@ -223,3 +52,391 @@ jobs:
         run: |
           git tag ${{ steps.srctag.outputs.name }} || exit 0
           git push origin ${{ steps.srctag.outputs.name }} || exit 0
+
+  prepare_matrices:
+    name: Prepare Docker matrices
+    runs-on: ubuntu-24.04
+    outputs:
+      build_matrix: ${{ steps.matrices.outputs.build_matrix }}
+      merge_matrix: ${{ steps.matrices.outputs.merge_matrix }}
+
+    steps:
+      - name: Generate build and merge matrices
+        id: matrices
+        shell: bash
+        run: |
+          set -euo pipefail
+
+          # Keep all build targets in one place and derive merge targets from it.
+          cat > build-matrix.json <<'JSON'
+          [
+            { "tag": "cpu", "dockerfile": ".devops/cpu.Dockerfile", "platforms": "linux/amd64", "full": true, "light": true, "server": true, "free_disk_space": false, "runs_on": "ubuntu-24.04" },
+            { "tag": "cpu", "dockerfile": ".devops/cpu.Dockerfile", "platforms": "linux/arm64", "full": true, "light": true, "server": true, "free_disk_space": false, "runs_on": "ubuntu-24.04-arm" },
+            { "tag": "cpu", "dockerfile": ".devops/s390x.Dockerfile", "platforms": "linux/s390x", "full": true, "light": true, "server": true, "free_disk_space": false, "runs_on": "ubuntu-24.04-s390x" },
+            { "tag": "cuda cuda12", "dockerfile": ".devops/cuda.Dockerfile", "platforms": "linux/amd64", "full": true, "light": true, "server": true, "free_disk_space": true, "runs_on": "ubuntu-24.04" },
+            { "tag": "cuda cuda12", "dockerfile": ".devops/cuda.Dockerfile", "platforms": "linux/arm64", "full": true, "light": true, "server": true, "free_disk_space": true, "runs_on": "ubuntu-24.04-arm" },
+            { "tag": "cuda13", "dockerfile": ".devops/cuda-new.Dockerfile", "platforms": "linux/amd64", "full": true, "light": true, "server": true, "free_disk_space": true, "runs_on": "ubuntu-24.04" },
+            { "tag": "cuda13", "dockerfile": ".devops/cuda-new.Dockerfile", "platforms": "linux/arm64", "full": true, "light": true, "server": true, "free_disk_space": true, "runs_on": "ubuntu-24.04-arm" },
+            { "tag": "musa", "dockerfile": ".devops/musa.Dockerfile", "platforms": "linux/amd64", "full": true, "light": true, "server": true, "free_disk_space": true, "runs_on": "ubuntu-24.04" },
+            { "tag": "intel", "dockerfile": ".devops/intel.Dockerfile", "platforms": "linux/amd64", "full": true, "light": true, "server": true, "free_disk_space": true, "runs_on": "ubuntu-24.04" },
+            { "tag": "vulkan", "dockerfile": ".devops/vulkan.Dockerfile", "platforms": "linux/amd64", "full": true, "light": true, "server": true, "free_disk_space": false, "runs_on": "ubuntu-24.04" },
+            { "tag": "vulkan", "dockerfile": ".devops/vulkan.Dockerfile", "platforms": "linux/arm64", "full": true, "light": true, "server": true, "free_disk_space": false, "runs_on": "ubuntu-24.04-arm" },
+            { "tag": "rocm", "dockerfile": ".devops/rocm.Dockerfile", "platforms": "linux/amd64", "full": true, "light": true, "server": true, "free_disk_space": true, "runs_on": "ubuntu-24.04" },
+            { "tag": "openvino", "dockerfile": ".devops/openvino.Dockerfile", "platforms": "linux/amd64", "full": true, "light": true, "server": true, "free_disk_space": false, "runs_on": "ubuntu-24.04" }
+          ]
+          JSON
+
+          BUILD_MATRIX="$(jq -c . build-matrix.json)"
+          MERGE_MATRIX="$(jq -c '
+            reduce .[] as $entry ({}; .[$entry.tag] |= (
+              . // {
+                tag: $entry.tag,
+                arches: [],
+                full: false,
+                light: false,
+                server: false
+              }
+              | .full = (.full or ($entry.full // false))
+              | .light = (.light or ($entry.light // false))
+              | .server = (.server or ($entry.server // false))
+              | .arches += [($entry.platforms | sub("^linux/"; ""))]
+            ))
+            # Backward compatibility: s390x tags are aliases of cpu for the linux/s390x platform.
+            | if (has("cpu") and (((.cpu.arches // []) | index("s390x")) != null)) then
+                . + {
+                  s390x: {
+                    tag: "s390x",
+                    arches: ["s390x"],
+                    full: .cpu.full,
+                    light: .cpu.light,
+                    server: .cpu.server
+                  }
+                }
+              else
+                .
+              end
+            | [.[] | .arches = (.arches | unique | sort | join(" "))]
+          ' build-matrix.json)"
+
+          echo "build_matrix=$BUILD_MATRIX" >> "$GITHUB_OUTPUT"
+          echo "merge_matrix=$MERGE_MATRIX" >> "$GITHUB_OUTPUT"
+
+  push_to_registry:
+    name: Push Docker image to Docker Registry
+    needs: [prepare_matrices, create_tag]
+
+    runs-on: ${{ matrix.config.runs_on }}
+    strategy:
+      fail-fast: false
+      matrix:
+        config: ${{ fromJSON(needs.prepare_matrices.outputs.build_matrix) }}
+    steps:
+      - name: Check out the repo
+        uses: actions/checkout@v6
+        with:
+          fetch-depth: 0
+          ref: ${{ needs.create_tag.outputs.source_tag }}
+
+      - name: Set up QEMU
+        if: ${{ contains(matrix.config.platforms, 'linux/amd64') }}
+        uses: docker/setup-qemu-action@ce360397dd3f832beb865e1373c09c0e9f86d70a # v4
+        with:
+          image: tonistiigi/binfmt:qemu-v10.2.1
+
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@4d04d5d9486b7bd6fa91e7baf45bbb4f8b9deedd # v4
+
+      - name: Log in to Docker Registry
+        uses: docker/login-action@b45d80f862d83dbcd57f89517bcf500b2ab88fb2 # v4
+        with:
+          registry: ghcr.io
+          username: ${{ github.repository_owner }}
+          password: ${{ secrets.GITHUB_TOKEN }}
+
+      - name: Determine image metadata
+        id: meta
+        shell: bash
+        run: |
+          set -euo pipefail
+
+          REPO_OWNER="${GITHUB_REPOSITORY_OWNER@L}"  # to lower case
+          REPO_NAME="${{ github.event.repository.name }}"
+          IMAGE_REPO="ghcr.io/${REPO_OWNER}/${REPO_NAME}"
+          PREFIX="${IMAGE_REPO}:"
+          PLATFORM="${{ matrix.config.platforms }}"
+          ARCH_SUFFIX="${PLATFORM#linux/}"
+
+          # list all tags possible
+          tags="${{ matrix.config.tag }}"
+          for tag in $tags; do
+              if [[ "$tag" == "cpu" ]]; then
+                  TYPE=""
+              else
+                  TYPE="-$tag"
+              fi
+              CACHETAG="${PREFIX}buildcache${TYPE}-${ARCH_SUFFIX}"
+          done
+
+          SAFE_TAGS="$(echo "$tags" | tr ' ' '_')"
+
+          echo "image_repo=$IMAGE_REPO" >> $GITHUB_OUTPUT
+          echo "arch_suffix=$ARCH_SUFFIX" >> $GITHUB_OUTPUT
+          echo "cache_output_tag=$CACHETAG" >> $GITHUB_OUTPUT
+          echo "digest_artifact_suffix=${SAFE_TAGS}-${ARCH_SUFFIX}" >> $GITHUB_OUTPUT
+          echo "cache_output_tag=$CACHETAG"  # print out for debugging
+        env:
+          GITHUB_REPOSITORY_OWNER: '${{ github.repository_owner }}'
+
+      - name: Free Disk Space (Ubuntu)
+        if: ${{ matrix.config.free_disk_space == true }}
+        uses: ggml-org/free-disk-space@v1.3.1
+        with:
+          # this might remove tools that are actually needed,
+          # if set to "true" but frees about 6 GB
+          tool-cache: false
+
+          # all of these default to true, but feel free to set to
+          # "false" if necessary for your workflow
+          android: true
+          dotnet: true
+          haskell: true
+          large-packages: true
+          docker-images: true
+          swap-storage: true
+
+      - name: Build and push Full Docker image by digest
+        id: build_full
+        if: ${{ (github.event_name == 'push' || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch') && matrix.config.full == true }}
+        uses: docker/build-push-action@d08e5c354a6adb9ed34480a06d141179aa583294 # v7
+        with:
+          context: .
+          platforms: ${{ matrix.config.platforms }}
+          outputs: type=image,name=${{ steps.meta.outputs.image_repo }},push-by-digest=true,name-canonical=true,push=true
+          file: ${{ matrix.config.dockerfile }}
+          target: full
+          provenance: false
+          build-args: |
+            ${{ matrix.config.ubuntu_version && format('UBUNTU_VERSION={0}', matrix.config.ubuntu_version) || '' }}
+            ${{ matrix.config.cuda_version && format('CUDA_VERSION={0}', matrix.config.cuda_version) || '' }}
+          # using github experimental cache
+          #cache-from: type=gha
+          #cache-to: type=gha,mode=max
+          # return to this if the experimental github cache is having issues
+          #cache-to: type=local,dest=/tmp/.buildx-cache
+          #cache-from: type=local,src=/tmp/.buildx-cache
+          # using registry cache (no storage limit)
+          cache-from: type=registry,ref=${{ steps.meta.outputs.cache_output_tag }}
+          cache-to: type=registry,ref=${{ steps.meta.outputs.cache_output_tag }},mode=max
+
+      - name: Build and push Light Docker image by digest
+        id: build_light
+        if: ${{ (github.event_name == 'push' || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch') && matrix.config.light == true }}
+        uses: docker/build-push-action@d08e5c354a6adb9ed34480a06d141179aa583294 # v7
+        with:
+          context: .
+          platforms: ${{ matrix.config.platforms }}
+          outputs: type=image,name=${{ steps.meta.outputs.image_repo }},push-by-digest=true,name-canonical=true,push=true
+          file: ${{ matrix.config.dockerfile }}
+          target: light
+          provenance: false
+          build-args: |
+            ${{ matrix.config.ubuntu_version && format('UBUNTU_VERSION={0}', matrix.config.ubuntu_version) || '' }}
+            ${{ matrix.config.cuda_version && format('CUDA_VERSION={0}', matrix.config.cuda_version) || '' }}
+          # using github experimental cache
+          #cache-from: type=gha
+          #cache-to: type=gha,mode=max
+          # return to this if the experimental github cache is having issues
+          #cache-to: type=local,dest=/tmp/.buildx-cache
+          #cache-from: type=local,src=/tmp/.buildx-cache
+          # using registry cache (no storage limit)
+          cache-from: type=registry,ref=${{ steps.meta.outputs.cache_output_tag }}
+          cache-to: type=registry,ref=${{ steps.meta.outputs.cache_output_tag }},mode=max
+
+      - name: Build and push Server Docker image by digest
+        id: build_server
+        if: ${{ (github.event_name == 'push' || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch') && matrix.config.server == true }}
+        uses: docker/build-push-action@d08e5c354a6adb9ed34480a06d141179aa583294 # v7
+        with:
+          context: .
+          platforms: ${{ matrix.config.platforms }}
+          outputs: type=image,name=${{ steps.meta.outputs.image_repo }},push-by-digest=true,name-canonical=true,push=true
+          file: ${{ matrix.config.dockerfile }}
+          target: server
+          provenance: false
+          build-args: |
+            ${{ matrix.config.ubuntu_version && format('UBUNTU_VERSION={0}', matrix.config.ubuntu_version) || '' }}
+            ${{ matrix.config.cuda_version && format('CUDA_VERSION={0}', matrix.config.cuda_version) || '' }}
+          # using github experimental cache
+          #cache-from: type=gha
+          #cache-to: type=gha,mode=max
+          # return to this if the experimental github cache is having issues
+          #cache-to: type=local,dest=/tmp/.buildx-cache
+          #cache-from: type=local,src=/tmp/.buildx-cache
+          # using registry cache (no storage limit)
+          cache-from: type=registry,ref=${{ steps.meta.outputs.cache_output_tag }}
+          cache-to: type=registry,ref=${{ steps.meta.outputs.cache_output_tag }},mode=max
+
+      - name: Export digest metadata
+        shell: bash
+        run: |
+            set -euo pipefail
+
+            TAGS="${{ matrix.config.tag }}"
+            ARCH_SUFFIX="${{ steps.meta.outputs.arch_suffix }}"
+            DIGEST_FILE="/tmp/digests/${{ steps.meta.outputs.digest_artifact_suffix }}.tsv"
+            mkdir -p /tmp/digests
+
+            add_digest_rows() {
+                local image_type="$1"
+                local digest="$2"
+
+                if [[ -z "$digest" ]]; then
+                  echo "Missing digest for image_type=${image_type}" >&2
+                  exit 1
+                fi
+
+                for tag in $TAGS; do
+                    printf '%s\t%s\t%s\t%s\n' "$tag" "$ARCH_SUFFIX" "$image_type" "$digest" >> "$DIGEST_FILE"
+                done
+            }
+
+            if [[ "${{ matrix.config.full }}" == "true" ]]; then
+                add_digest_rows "full" "${{ steps.build_full.outputs.digest }}"
+            fi
+
+            if [[ "${{ matrix.config.light }}" == "true" ]]; then
+                add_digest_rows "light" "${{ steps.build_light.outputs.digest }}"
+            fi
+
+            if [[ "${{ matrix.config.server }}" == "true" ]]; then
+                add_digest_rows "server" "${{ steps.build_server.outputs.digest }}"
+            fi
+
+      - name: Upload digest metadata
+        uses: actions/upload-artifact@bbbca2ddaa5d8feaa63e36b76fdaad77386f024f # v7
+        with:
+          name: digests-${{ steps.meta.outputs.digest_artifact_suffix }}
+          path: /tmp/digests/${{ steps.meta.outputs.digest_artifact_suffix }}.tsv
+          if-no-files-found: error
+
+  merge_arch_tags:
+    name: Create shared tags from digests
+    needs: [prepare_matrices, push_to_registry, create_tag]
+    runs-on: ubuntu-24.04
+    strategy:
+      fail-fast: false
+      matrix:
+        config: ${{ fromJSON(needs.prepare_matrices.outputs.merge_matrix) }}
+
+    steps:
+      - name: Check out the repo
+        uses: actions/checkout@v6
+        with:
+          fetch-depth: 0
+
+      - name: Download digest metadata
+        uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8
+        with:
+          pattern: digests-*
+          path: /tmp/digests
+          merge-multiple: true
+
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@4d04d5d9486b7bd6fa91e7baf45bbb4f8b9deedd # v4
+
+      - name: Log in to Docker Registry
+        uses: docker/login-action@b45d80f862d83dbcd57f89517bcf500b2ab88fb2 # v4
+        with:
+          registry: ghcr.io
+          username: ${{ github.repository_owner }}
+          password: ${{ secrets.GITHUB_TOKEN }}
+
+      - name: Create tags from digests
+        shell: bash
+        run: |
+          set -euo pipefail
+
+          REPO_OWNER="${GITHUB_REPOSITORY_OWNER@L}"  # to lower case
+          REPO_NAME="${{ github.event.repository.name }}"
+          IMAGE_REPO="ghcr.io/${REPO_OWNER}/${REPO_NAME}"
+          PREFIX="${IMAGE_REPO}:"
+          SRC_TAG="${{ needs.create_tag.outputs.source_tag }}"
+          TAGS="${{ matrix.config.tag }}"
+          ARCHES="${{ matrix.config.arches }}"
+          DIGEST_GLOB="/tmp/digests/*.tsv"
+
+          if ! ls ${DIGEST_GLOB} >/dev/null 2>&1; then
+              echo "No digest metadata found in /tmp/digests" >&2
+              exit 1
+          fi
+
+          if [[ -z "$SRC_TAG" ]]; then
+              echo "Missing source tag from create_tag" >&2
+              exit 1
+          fi
+
+          find_digest() {
+              local tag_name="$1"
+              local arch="$2"
+              local image_type="$3"
+              local digest
+
+              digest="$(awk -F '\t' -v t="$tag_name" -v a="$arch" -v i="$image_type" '$1 == t && $2 == a && $3 == i { print $4; exit }' ${DIGEST_GLOB})"
+
+              # Backward compatibility: s390x tags are aliases of cpu for the linux/s390x platform.
+              if [[ -z "$digest" && "$tag_name" == "s390x" && "$arch" == "s390x" ]]; then
+                digest="$(awk -F '\t' -v t="cpu" -v a="$arch" -v i="$image_type" '$1 == t && $2 == a && $3 == i { print $4; exit }' ${DIGEST_GLOB})"
+              fi
+
+              if [[ -z "$digest" ]]; then
+                echo "Missing digest for tag=${tag_name} arch=${arch} image_type=${image_type}" >&2
+                exit 1
+              fi
+
+              echo "$digest"
+          }
+
+          create_manifest_tags() {
+              local image_type="$1"
+              local tag_name="$2"
+              local suffix="$3"
+
+              local merged_tag="${PREFIX}${image_type}${suffix}"
+              local merged_versioned_tag="${merged_tag}-${SRC_TAG}"
+
+              local refs=()
+
+              for arch in $ARCHES; do
+                  local digest
+                  digest="$(find_digest "$tag_name" "$arch" "$image_type")"
+                  refs+=("${IMAGE_REPO}@${digest}")
+              done
+
+              echo "Creating ${merged_tag} from ${refs[*]}"
+              docker buildx imagetools create --tag "${merged_tag}" "${refs[@]}"
+
+              echo "Creating ${merged_versioned_tag} from ${refs[*]}"
+              docker buildx imagetools create --tag "${merged_versioned_tag}" "${refs[@]}"
+          }
+
+          for tag in $TAGS; do
+              if [[ "$tag" == "cpu" ]]; then
+                  TYPE=""
+              else
+                  TYPE="-$tag"
+              fi
+
+              if [[ "${{ matrix.config.full }}" == "true" ]]; then
+                  create_manifest_tags "full" "$tag" "$TYPE"
+              fi
+
+              if [[ "${{ matrix.config.light }}" == "true" ]]; then
+                  create_manifest_tags "light" "$tag" "$TYPE"
+              fi
+
+              if [[ "${{ matrix.config.server }}" == "true" ]]; then
+                  create_manifest_tags "server" "$tag" "$TYPE"
+              fi
+          done
+        env:
+          GITHUB_REPOSITORY_OWNER: '${{ github.repository_owner }}'

.github/workflows/release.yml

@@ -131,17 +131,16 @@ jobs:
           path: llama-${{ steps.tag.outputs.name }}-bin-macos-x64.tar.gz
           name: llama-bin-macos-x64.tar.gz
 
-  ubuntu-22-cpu:
+  ubuntu-cpu:
     strategy:
       matrix:
         include:
           - build: 'x64'
             os: ubuntu-22.04
+          - build: 'arm64'
+            os: ubuntu-24.04-arm
           - build: 's390x'
             os: ubuntu-24.04-s390x
-          # GGML_BACKEND_DL and GGML_CPU_ALL_VARIANTS are not currently supported on arm
-          # - build: 'arm64'
-          #   os: ubuntu-22.04-arm
 
     runs-on: ${{ matrix.os }}
 
@@ -165,6 +164,13 @@ jobs:
           sudo apt-get update
           sudo apt-get install build-essential libssl-dev
 
+      - name: Toolchain workaround (GCC 14)
+        if: ${{ contains(matrix.os, 'ubuntu-24.04') }}
+        run: |
+          sudo apt-get install -y gcc-14 g++-14
+          echo "CC=gcc-14" >> "$GITHUB_ENV"
+          echo "CXX=g++-14" >> "$GITHUB_ENV"
+
       - name: Build
         id: cmake_build
         run: |
@@ -194,8 +200,16 @@ jobs:
           path: llama-${{ steps.tag.outputs.name }}-bin-ubuntu-${{ matrix.build }}.tar.gz
           name: llama-bin-ubuntu-${{ matrix.build }}.tar.gz
 
-  ubuntu-22-vulkan:
-    runs-on: ubuntu-22.04
+  ubuntu-vulkan:
+    strategy:
+      matrix:
+        include:
+          - build: 'x64'
+            os: ubuntu-22.04
+          - build: 'arm64'
+            os: ubuntu-24.04-arm
+
+    runs-on: ${{ matrix.os }}
 
     steps:
       - name: Clone
@@ -207,16 +221,23 @@ jobs:
       - name: ccache
         uses: ggml-org/ccache-action@v1.2.21
         with:
-          key: ubuntu-22-vulkan
+          key: ubuntu-vulkan-${{ matrix.build }}
           evict-old-files: 1d
 
       - name: Dependencies
         id: depends
         run: |
-          wget -qO - https://packages.lunarg.com/lunarg-signing-key-pub.asc | sudo apt-key add -
-          sudo wget -qO /etc/apt/sources.list.d/lunarg-vulkan-jammy.list https://packages.lunarg.com/vulkan/lunarg-vulkan-jammy.list
-          sudo apt-get update -y
-          sudo apt-get install -y build-essential mesa-vulkan-drivers vulkan-sdk libssl-dev
+          if [[ "${{ matrix.os }}" =~ "ubuntu-22.04" ]]; then
+            wget -qO - https://packages.lunarg.com/lunarg-signing-key-pub.asc | sudo apt-key add -
+            sudo wget -qO /etc/apt/sources.list.d/lunarg-vulkan-jammy.list https://packages.lunarg.com/vulkan/lunarg-vulkan-jammy.list
+            sudo apt-get update -y
+            sudo apt-get install -y build-essential mesa-vulkan-drivers vulkan-sdk libssl-dev
+          else
+            sudo apt-get update -y
+            sudo apt-get install -y gcc-14 g++-14 build-essential glslc libvulkan-dev libssl-dev ninja-build
+            echo "CC=gcc-14" >> "$GITHUB_ENV"
+            echo "CXX=g++-14" >> "$GITHUB_ENV"
+          fi
 
       - name: Build
         id: cmake_build
@@ -239,13 +260,13 @@ jobs:
         id: pack_artifacts
         run: |
           cp LICENSE ./build/bin/
-          tar -czvf llama-${{ steps.tag.outputs.name }}-bin-ubuntu-vulkan-x64.tar.gz --transform "s,./,llama-${{ steps.tag.outputs.name }}/," -C ./build/bin .
+          tar -czvf llama-${{ steps.tag.outputs.name }}-bin-ubuntu-vulkan-${{ matrix.build }}.tar.gz --transform "s,./,llama-${{ steps.tag.outputs.name }}/," -C ./build/bin .
 
       - name: Upload artifacts
         uses: actions/upload-artifact@v6
         with:
-          path: llama-${{ steps.tag.outputs.name }}-bin-ubuntu-vulkan-x64.tar.gz
-          name: llama-bin-ubuntu-vulkan-x64.tar.gz
+          path: llama-${{ steps.tag.outputs.name }}-bin-ubuntu-vulkan-${{ matrix.build }}.tar.gz
+          name: llama-bin-ubuntu-vulkan-${{ matrix.build }}.tar.gz
 
   ubuntu-24-openvino:
     runs-on: ubuntu-24.04
@@ -977,8 +998,8 @@ jobs:
       - windows-sycl
       - windows-hip
       - ubuntu-22-rocm
-      - ubuntu-22-cpu
-      - ubuntu-22-vulkan
+      - ubuntu-cpu
+      - ubuntu-vulkan
       - ubuntu-24-openvino
       - macOS-arm64
       - macOS-x64
@@ -1061,9 +1082,11 @@ jobs:
 
             **Linux:**
             - [Ubuntu x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-x64.tar.gz)
-            - [Ubuntu x64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-vulkan-x64.tar.gz)
-            - [Ubuntu x64 (ROCm 7.2)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-rocm-7.2-x64.tar.gz)
+            - [Ubuntu arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-arm64.tar.gz)
             - [Ubuntu s390x (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-s390x.tar.gz)
+            - [Ubuntu x64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-vulkan-x64.tar.gz)
+            - [Ubuntu arm64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-vulkan-arm64.tar.gz)
+            - [Ubuntu x64 (ROCm 7.2)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-rocm-7.2-x64.tar.gz)
             - [Ubuntu x64 (OpenVINO)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-openvino-${{ needs.ubuntu-24-openvino.outputs.openvino_version }}-x64.tar.gz)
 
             **Windows:**

common/chat.cpp

@@ -221,7 +221,7 @@ using chat_template_caps = jinja::caps;
 struct common_chat_templates {
     bool add_bos;
     bool add_eos;
-    bool has_explicit_template;  // Model had builtin template or template overridde was specified.
+    bool has_explicit_template;  // Model had builtin template or template overridden was specified.
     std::unique_ptr<common_chat_template> template_default;  // always set (defaults to chatml)
     std::unique_ptr<common_chat_template> template_tool_use;
 };
@@ -989,6 +989,10 @@ static common_chat_params common_chat_params_init_gpt_oss(const common_chat_temp
         auto analysis = p.ref("analysis");
         auto preamble = p.rule("preamble", p.literal("<|channel|>commentary<|message|>") + p.content(content) + end);
         auto final_msg = p.rule("final", p.literal("<|channel|>final<|message|>") + p.content(content));
+
+        // Consume any unsolicited tool calls, e.g. builtin functions
+        auto unsolicited = p.rule("unsolicited", p.atomic(p.optional(channel) + p.literal(" to=") + content + end));
+
         auto any = p.rule("any", preamble | analysis);
 
         if (has_response_format) {
@@ -1032,7 +1036,7 @@ static common_chat_params common_chat_params_init_gpt_oss(const common_chat_temp
             return p.zero_or_more(start + any) + start + (tool_call | final_msg);
         }
 
-        return p.zero_or_more(start + any) + start + final_msg;
+        return p.zero_or_more(start + any) + start + (final_msg | unsolicited);
     });
 
     data.parser = parser.save();

common/common.cpp

@@ -359,6 +359,11 @@ bool parse_cpu_mask(const std::string & mask, bool (&boolmask)[GGML_MAX_N_THREAD
 }
 
 void common_init() {
+#if defined(_WIN32)
+    SetConsoleOutputCP(CP_UTF8);
+    SetConsoleCP(CP_UTF8);
+#endif
+
     llama_log_set(common_log_default_callback, NULL);
 
 #ifdef NDEBUG
@@ -367,7 +372,7 @@ void common_init() {
     const char * build_type = " (debug)";
 #endif
 
-    LOG_INF("build: %d (%s) with %s for %s%s\n", LLAMA_BUILD_NUMBER, LLAMA_COMMIT, LLAMA_COMPILER, LLAMA_BUILD_TARGET, build_type);
+    LOG_DBG("build: %d (%s) with %s for %s%s\n", LLAMA_BUILD_NUMBER, LLAMA_COMMIT, LLAMA_COMPILER, LLAMA_BUILD_TARGET, build_type);
 }
 
 std::string common_params_get_system_info(const common_params & params) {
@@ -1243,6 +1248,9 @@ llama_context * common_init_result::context() {
 }
 
 common_sampler * common_init_result::sampler(llama_seq_id seq_id) {
+    if (seq_id < 0 || seq_id >= (int) pimpl->samplers.size()) {
+        return nullptr;
+    }
     return pimpl->samplers[seq_id].get();
 }
 

common/jinja/parser.cpp

@@ -539,6 +539,9 @@ private:
             statement_ptr step = slices.size() > 2 ? std::move(slices[2]) : nullptr;
             return mk_stmt<slice_expression>(start_pos, std::move(start), std::move(stop), std::move(step));
         }
+        if (slices.empty()) {
+            return mk_stmt<blank_expression>(start_pos);
+        }
         return std::move(slices[0]);
     }
 

common/jinja/runtime.cpp

@@ -771,10 +771,15 @@ value member_expression::execute_impl(context & ctx) {
     }
 
     JJ_DEBUG("Member expression on object type %s, property type %s", object->type().c_str(), property->type().c_str());
-    ensure_key_type_allowed(property);
-
     value val = mk_val<value_undefined>("object_property");
 
+    if (property->is_undefined()) {
+        JJ_DEBUG("%s", "Member expression property is undefined, returning undefined");
+        return val;
+    }
+
+    ensure_key_type_allowed(property);
+
     if (is_val<value_undefined>(object)) {
         JJ_DEBUG("%s", "Accessing property on undefined object, returning undefined");
         return val;

common/jinja/runtime.h

@@ -263,6 +263,14 @@ struct comment_statement : public statement {
 
 // Expressions
 
+// Represents an omitted expression in a computed member, e.g. `a[]`.
+struct blank_expression : public expression {
+    std::string type() const override { return "BlankExpression"; }
+    value execute_impl(context &) override {
+        return mk_val<value_undefined>();
+    }
+};
+
 struct member_expression : public expression {
     statement_ptr object;
     statement_ptr property;

common/ngram-map.h

@@ -51,7 +51,7 @@ struct common_ngram_map_value {
 // statistics of a n-gram
 struct common_ngram_map_key {
     size_t   key_idx;   // index of key n-gram in token-history
-    size_t   stat_idx;  // index of last token of stastistics computation (key_num, values)
+    size_t   stat_idx;  // index of last token of statistics computation (key_num, values)
 
     uint16_t key_num;   // number of occurrences of this key n-gram in token-history
     common_ngram_map_value values[COMMON_NGRAM_MAX_VALUES]; // some known values after the key

common/sampling.cpp

@@ -383,6 +383,12 @@ struct common_sampler * common_sampler_init(const struct llama_model * model, st
         params.backend_sampling = false;
     }
 
+    if (rbudget && params.backend_sampling) {
+        LOG_WRN("%s: backend sampling is not compatible with reasoning budget, disabling\n", __func__);
+
+        params.backend_sampling = false;
+    }
+
     auto * result = new common_sampler {
         /* .params  = */ params,
         /* .grmr    = */ grmr,

docs/docker.md

@@ -13,24 +13,30 @@ We have three Docker images available for this project:
 
 Additionally, there the following images, similar to the above:
 
-- `ghcr.io/ggml-org/llama.cpp:full-cuda`: Same as `full` but compiled with CUDA support. (platforms: `linux/amd64`)
-- `ghcr.io/ggml-org/llama.cpp:light-cuda`: Same as `light` but compiled with CUDA support. (platforms: `linux/amd64`)
-- `ghcr.io/ggml-org/llama.cpp:server-cuda`: Same as `server` but compiled with CUDA support. (platforms: `linux/amd64`)
-- `ghcr.io/ggml-org/llama.cpp:full-rocm`: Same as `full` but compiled with ROCm support. (platforms: `linux/amd64`, `linux/arm64`)
-- `ghcr.io/ggml-org/llama.cpp:light-rocm`: Same as `light` but compiled with ROCm support. (platforms: `linux/amd64`, `linux/arm64`)
-- `ghcr.io/ggml-org/llama.cpp:server-rocm`: Same as `server` but compiled with ROCm support. (platforms: `linux/amd64`, `linux/arm64`)
+- `ghcr.io/ggml-org/llama.cpp:full-cuda`: Same as `full` but compiled with CUDA 12 support. (platforms: `linux/amd64`, `linux/arm64`)
+- `ghcr.io/ggml-org/llama.cpp:full-cuda13`: Same as `full` but compiled with CUDA 13 support. (platforms: `linux/amd64`, `linux/arm64`)
+- `ghcr.io/ggml-org/llama.cpp:light-cuda`: Same as `light` but compiled with CUDA 12 support. (platforms: `linux/amd64`, `linux/arm64`)
+- `ghcr.io/ggml-org/llama.cpp:light-cuda13`: Same as `light` but compiled with CUDA 13 support. (platforms: `linux/amd64`, `linux/arm64`)
+- `ghcr.io/ggml-org/llama.cpp:server-cuda`: Same as `server` but compiled with CUDA 12 support. (platforms: `linux/amd64`, `linux/arm64`)
+- `ghcr.io/ggml-org/llama.cpp:server-cuda13`: Same as `server` but compiled with CUDA 13 support. (platforms: `linux/amd64`, `linux/arm64`)
+- `ghcr.io/ggml-org/llama.cpp:full-rocm`: Same as `full` but compiled with ROCm support. (platforms: `linux/amd64`)
+- `ghcr.io/ggml-org/llama.cpp:light-rocm`: Same as `light` but compiled with ROCm support. (platforms: `linux/amd64`)
+- `ghcr.io/ggml-org/llama.cpp:server-rocm`: Same as `server` but compiled with ROCm support. (platforms: `linux/amd64`)
 - `ghcr.io/ggml-org/llama.cpp:full-musa`: Same as `full` but compiled with MUSA support. (platforms: `linux/amd64`)
 - `ghcr.io/ggml-org/llama.cpp:light-musa`: Same as `light` but compiled with MUSA support. (platforms: `linux/amd64`)
 - `ghcr.io/ggml-org/llama.cpp:server-musa`: Same as `server` but compiled with MUSA support. (platforms: `linux/amd64`)
 - `ghcr.io/ggml-org/llama.cpp:full-intel`: Same as `full` but compiled with SYCL support. (platforms: `linux/amd64`)
 - `ghcr.io/ggml-org/llama.cpp:light-intel`: Same as `light` but compiled with SYCL support. (platforms: `linux/amd64`)
 - `ghcr.io/ggml-org/llama.cpp:server-intel`: Same as `server` but compiled with SYCL support. (platforms: `linux/amd64`)
-- `ghcr.io/ggml-org/llama.cpp:full-vulkan`: Same as `full` but compiled with Vulkan support. (platforms: `linux/amd64`)
-- `ghcr.io/ggml-org/llama.cpp:light-vulkan`: Same as `light` but compiled with Vulkan support. (platforms: `linux/amd64`)
-- `ghcr.io/ggml-org/llama.cpp:server-vulkan`: Same as `server` but compiled with Vulkan support. (platforms: `linux/amd64`)
+- `ghcr.io/ggml-org/llama.cpp:full-vulkan`: Same as `full` but compiled with Vulkan support. (platforms: `linux/amd64`, `linux/arm64`)
+- `ghcr.io/ggml-org/llama.cpp:light-vulkan`: Same as `light` but compiled with Vulkan support. (platforms: `linux/amd64`, `linux/arm64`)
+- `ghcr.io/ggml-org/llama.cpp:server-vulkan`: Same as `server` but compiled with Vulkan support. (platforms: `linux/amd64`, `linux/arm64`)
 - `ghcr.io/ggml-org/llama.cpp:full-openvino`: Same as `full` but compiled with OpenVino support. (platforms: `linux/amd64`)
 - `ghcr.io/ggml-org/llama.cpp:light-openvino`: Same as `light` but compiled with OpenVino support. (platforms: `linux/amd64`)
 - `ghcr.io/ggml-org/llama.cpp:server-openvino`: Same as `server` but compiled with OpenVino support. (platforms: `linux/amd64`)
+- `ghcr.io/ggml-org/llama.cpp:full-s390x`: Identical to `full`, an alias for the `s390x` platform. (platforms: `linux/s390x`)
+- `ghcr.io/ggml-org/llama.cpp:light-s390x`: Identical to `light`, an alias for the `s390x` platform. (platforms: `linux/s390x`)
+- `ghcr.io/ggml-org/llama.cpp:server-s390x`: Identical to `server`, an alias for the `s390x` platform. (platforms: `linux/s390x`)
 
 The GPU enabled images are not currently tested by CI beyond being built. They are not built with any variation from the ones in the Dockerfiles defined in [.devops/](../.devops/) and the GitHub Action defined in [.github/workflows/docker.yml](../.github/workflows/docker.yml). If you need different settings (for example, a different CUDA, ROCm or MUSA library, you'll need to build the images locally for now).
 
@@ -82,7 +88,7 @@ You may want to pass in some different `ARGS`, depending on the CUDA environment
 
 The defaults are:
 
-- `CUDA_VERSION` set to `12.4.0`
+- `CUDA_VERSION` set to `12.8.1`
 - `CUDA_DOCKER_ARCH` set to the cmake build default, which includes all the supported architectures
 
 The resulting images, are essentially the same as the non-CUDA images:

examples/batched/batched.cpp

@@ -24,12 +24,12 @@ int main(int argc, char ** argv) {
     params.prompt = "Hello my name is";
     params.n_predict = 32;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_BATCHED, print_usage)) {
         return 1;
     }
 
-    common_init();
-
     // number of parallel batches
     int n_parallel = params.n_parallel;
 

examples/debug/debug.cpp

@@ -213,12 +213,12 @@ static bool run(llama_context * ctx, const common_params & params) {
 int main(int argc, char ** argv) {
     common_params params;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_DEBUG, print_usage)) {
         return 1;
     }
 
-    common_init();
-
     llama_backend_init();
     llama_numa_init(params.numa);
 

examples/diffusion/diffusion-cli.cpp

@@ -545,11 +545,12 @@ int main(int argc, char ** argv) {
 
     common_params params;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_DIFFUSION)) {
         return 1;
     }
 
-    common_init();
     llama_backend_init();
 
     llama_model_params model_params = llama_model_default_params();

examples/embedding/embedding.cpp

@@ -99,12 +99,12 @@ int main(int argc, char ** argv) {
 
     common_params params;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_EMBEDDING)) {
         return 1;
     }
 
-    common_init();
-
     params.embedding = true;
 
     // get max number of sequences per batch

examples/eval-callback/eval-callback.cpp

@@ -37,12 +37,12 @@ int main(int argc, char ** argv) {
 
     common_params params;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_COMMON)) {
         return 1;
     }
 
-    common_init();
-
     llama_backend_init();
     llama_numa_init(params.numa);
 

examples/idle/idle.cpp

@@ -19,12 +19,12 @@ static void print_usage(int /*argc*/, char ** argv) {
 int main(int argc, char ** argv) {
     common_params params;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_COMMON, print_usage)) {
         return 1;
     }
 
-    common_init();
-
     // init LLM
 
     llama_backend_init();

examples/lookahead/lookahead.cpp

@@ -43,12 +43,12 @@ int main(int argc, char ** argv) {
 
     common_params params;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_COMMON)) {
         return 1;
     }
 
-    common_init();
-
     const int W = 15; // lookahead window
     const int N = 5;  // n-gram size
     const int G = 15; // max verification n-grams

examples/lookup/lookup-create.cpp

@@ -12,6 +12,8 @@ int main(int argc, char ** argv){
 
     common_params params;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_LOOKUP)) {
         return 1;
     }

examples/lookup/lookup-stats.cpp

@@ -18,12 +18,12 @@ int main(int argc, char ** argv){
 
     common_params params;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_LOOKUP)) {
         return 1;
     }
 
-    common_init();
-
     const int n_draft = params.speculative.n_max;
 
     // init llama.cpp

examples/lookup/lookup.cpp

@@ -18,12 +18,12 @@ int main(int argc, char ** argv){
 
     common_params params;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_LOOKUP)) {
         return 1;
     }
 
-    common_init();
-
     // max. number of additional tokens to draft if match is found
     const int n_draft = params.speculative.n_max;
 

examples/parallel/parallel.cpp

@@ -163,12 +163,12 @@ int main(int argc, char ** argv) {
     params.n_predict = 128;
     params.n_junk = 1;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_PARALLEL)) {
         return 1;
     }
 
-    common_init();
-
     // number of simultaneous "clients" to simulate
     const int32_t n_clients = params.n_parallel;
 

examples/passkey/passkey.cpp

@@ -25,12 +25,12 @@ int main(int argc, char ** argv) {
     params.n_keep = 32;
     params.i_pos  = -1;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_PASSKEY, print_usage)) {
         return 1;
     }
 
-    common_init();
-
     int n_junk = params.n_junk;
     int n_keep = params.n_keep;
     int n_grp  = params.grp_attn_n;

examples/retrieval/retrieval.cpp

@@ -117,12 +117,12 @@ int main(int argc, char ** argv) {
 
     common_params params;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_RETRIEVAL, print_usage)) {
         return 1;
     }
 
-    common_init();
-
     // For BERT models, batch size must be equal to ubatch size
     params.n_ubatch = params.n_batch;
     params.embedding = true;

examples/save-load-state/save-load-state.cpp

@@ -17,6 +17,8 @@ int main(int argc, char ** argv) {
 
     const std::string_view state_file = "dump_state.bin";
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_COMMON)) {
         return 1;
     }
@@ -27,8 +29,6 @@ int main(int argc, char ** argv) {
         params.kv_unified = true;
     }
 
-    common_init();
-
     if (params.n_predict < 0) {
         params.n_predict = 16;
     }

examples/speculative-simple/speculative-simple.cpp

@@ -16,6 +16,8 @@ int main(int argc, char ** argv) {
 
     common_params params;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_SPECULATIVE)) {
         return 1;
     }
@@ -25,8 +27,6 @@ int main(int argc, char ** argv) {
         return 1;
     }
 
-    common_init();
-
     if (params.speculative.mparams_dft.path.empty()) {
         LOG_ERR("%s: --model-draft is required\n", __func__);
         return 1;

examples/speculative/speculative.cpp

@@ -38,6 +38,8 @@ int main(int argc, char ** argv) {
     // needed to get candidate probs even for temp <= 0.0
     params.sampling.n_probs = 128;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_SPECULATIVE)) {
         return 1;
     }
@@ -47,8 +49,6 @@ int main(int argc, char ** argv) {
         return 1;
     }
 
-    common_init();
-
     if (params.speculative.mparams_dft.path.empty()) {
         LOG_ERR("%s: --model-draft is required\n", __func__);
         return 1;

examples/training/finetune.cpp

@@ -20,6 +20,8 @@ int main(int argc, char ** argv) {
     common_params params;
     params.escape = false;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_FINETUNE)) {
         return 1;
     }
@@ -38,7 +40,6 @@ int main(int argc, char ** argv) {
         params.cache_type_v = GGML_TYPE_F32;
     }
 
-    common_init();
     llama_backend_init();
     llama_numa_init(params.numa);
     // load the model and apply lora adapter, if any

ggml/CMakeLists.txt

@@ -4,7 +4,7 @@ project("ggml" C CXX ASM)
 ### GGML Version
 set(GGML_VERSION_MAJOR 0)
 set(GGML_VERSION_MINOR 9)
-set(GGML_VERSION_PATCH 8)
+set(GGML_VERSION_PATCH 9)
 set(GGML_VERSION_BASE "${GGML_VERSION_MAJOR}.${GGML_VERSION_MINOR}.${GGML_VERSION_PATCH}")
 
 find_program(GIT_EXE NAMES git git.exe NO_CMAKE_FIND_ROOT_PATH)

ggml/src/ggml-cuda/argsort.cu

@@ -47,9 +47,11 @@ void argsort_f32_i32_cuda_cub(ggml_cuda_pool & pool,
 #ifdef STRIDED_ITERATOR_AVAILABLE
     auto offset_iterator = cuda::make_strided_iterator(cuda::make_counting_iterator(0), ncols);
 #else
-    ggml_cuda_pool_alloc<int> offsets_alloc(pool, nrows + 1);
+    // offset_iterator needs to populate nrows + 1 elements, so we also have to ceildiv nrows + 1 by block_size
+    const int                 nrows_offset = nrows + 1;
+    ggml_cuda_pool_alloc<int> offsets_alloc(pool, nrows_offset);
     int *                     offset_iterator = offsets_alloc.get();
-    const dim3                offset_grid((nrows + block_size - 1) / block_size);
+    const dim3                offset_grid((nrows_offset + block_size - 1) / block_size);
     init_offsets<<<offset_grid, block_size, 0, stream>>>(offset_iterator, ncols, nrows);
 #endif
     CUDA_CHECK(cudaMemcpyAsync(temp_keys, x, ncols * nrows * sizeof(float), cudaMemcpyDeviceToDevice, stream));

ggml/src/ggml-opencl/CMakeLists.txt

@@ -114,6 +114,8 @@ set(GGML_OPENCL_KERNELS
     gemv_noshuffle_q4_1_f32
     gemm_noshuffle_q4_1_f32
     gemv_noshuffle_general_q8_0_f32
+    gemv_noshuffle_q4_k_f32
+    gemm_noshuffle_q4_k_f32
     gemv_noshuffle_q6_k_f32
     gemm_noshuffle_q6_k_f32
     mul

ggml/src/ggml-opencl/ggml-opencl.cpp

@@ -538,6 +538,8 @@ struct ggml_backend_opencl_context {
     cl_kernel kernel_restore_block_q4_0_noshuffle;
     cl_kernel kernel_convert_block_q4_1_noshuffle;
     cl_kernel kernel_restore_block_q4_1_noshuffle;
+    cl_kernel kernel_convert_block_q4_K_noshuffle;
+    cl_kernel kernel_restore_block_q4_K_noshuffle;
     cl_kernel kernel_convert_block_q4_K, kernel_restore_block_q4_K;
     cl_kernel kernel_convert_block_q6_K, kernel_restore_block_q6_K;
     cl_kernel kernel_mul_mat_q4_0_f32_1d_8x_flat, kernel_mul_mat_q4_0_f32_1d_16x_flat;
@@ -720,6 +722,8 @@ struct ggml_backend_opencl_context {
     cl_kernel kernel_gemm_noshuffle_q4_1_f32;
     cl_kernel kernel_mul_mm_q8_0_f32_8x4;
     cl_kernel CL_mul_mat_vec_q8_0_f32;
+    cl_kernel kernel_gemv_noshuffle_q4_k_f32;
+    cl_kernel kernel_gemm_noshuffle_q4_k_f32;
     cl_kernel kernel_gemv_noshuffle_q6_K_f32;
     cl_kernel kernel_gemm_noshuffle_q6_K_f32;
 #endif // GGML_OPENCL_USE_ADRENO_KERNELS
@@ -932,6 +936,8 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve
         CL_CHECK((backend_ctx->kernel_restore_block_q8_0_trans  = clCreateKernel(backend_ctx->program_cvt, "kernel_restore_block_q8_0_trans", &err), err));
         CL_CHECK((backend_ctx->kernel_convert_block_q4_K  = clCreateKernel(backend_ctx->program_cvt, "kernel_convert_block_q4_K", &err), err));
         CL_CHECK((backend_ctx->kernel_restore_block_q4_K  = clCreateKernel(backend_ctx->program_cvt, "kernel_restore_block_q4_K", &err), err));
+        CL_CHECK((backend_ctx->kernel_convert_block_q4_K_noshuffle = clCreateKernel(backend_ctx->program_cvt, "kernel_convert_block_q4_K_noshuffle", &err), err));
+        CL_CHECK((backend_ctx->kernel_restore_block_q4_K_noshuffle = clCreateKernel(backend_ctx->program_cvt, "kernel_restore_block_q4_K_noshuffle", &err), err));
         CL_CHECK((backend_ctx->kernel_convert_block_q6_K  = clCreateKernel(backend_ctx->program_cvt, "kernel_convert_block_q6_K", &err), err));
         CL_CHECK((backend_ctx->kernel_restore_block_q6_K  = clCreateKernel(backend_ctx->program_cvt, "kernel_restore_block_q6_K", &err), err));
         CL_CHECK((backend_ctx->kernel_convert_block_q6_K_noshuffle  = clCreateKernel(backend_ctx->program_cvt, "kernel_convert_block_q6_K_noshuffle", &err), err));
@@ -2619,6 +2625,45 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve
         GGML_LOG_CONT(".");
     }
 
+    // gemm_noshuffle_q4_k_f32
+    {
+#ifdef GGML_OPENCL_EMBED_KERNELS
+        const std::string kernel_src {
+            #include "gemm_noshuffle_q4_k_f32.cl.h"
+       };
+#else
+        const std::string kernel_src = read_file("gemm_noshuffle_q4_k_f32.cl");
+#endif
+        cl_program prog = build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), compile_opts);
+        CL_CHECK((backend_ctx->kernel_gemm_noshuffle_q4_k_f32 = clCreateKernel(prog, "kernel_gemm_noshuffle_q4_k_f32", &err), err));
+        CL_CHECK(clReleaseProgram(prog));
+        GGML_LOG_CONT(".");
+    }
+
+    // gemv_noshuffle_q4_k_f32
+    {
+        std::string CL_gemv_compile_opts = std::string("-cl-std=") + opencl_c_std +
+                                       " -cl-mad-enable ";
+        if (backend_ctx->has_vector_subgroup_broadcast) {
+            CL_gemv_compile_opts += " -DVECTOR_SUB_GROUP_BROADCAST ";
+        }
+
+#ifdef GGML_OPENCL_EMBED_KERNELS
+        const std::string kernel_src {
+            #include "gemv_noshuffle_q4_k_f32.cl.h"
+        };
+#else
+        const std::string kernel_src = read_file("gemv_noshuffle_q4_k_f32.cl");
+#endif
+
+        cl_program prog = build_program_from_source(
+            backend_ctx->context, backend_ctx->device, kernel_src.c_str(), CL_gemv_compile_opts);
+
+        CL_CHECK((backend_ctx->kernel_gemv_noshuffle_q4_k_f32 = clCreateKernel(prog, "kernel_gemv_noshuffle_q4_k_f32", &err), err));
+        CL_CHECK(clReleaseProgram(prog));
+        GGML_LOG_CONT(".");
+    }
+
     std::string CL_moe_compile_opts = std::string("-cl-std=") + opencl_c_std +
             " -cl-mad-enable "
             " -cl-fast-relaxed-math";
@@ -5060,12 +5105,25 @@ static void ggml_backend_opencl_buffer_set_tensor(ggml_backend_buffer_t buffer,
             CL_BUFFER_CREATE_TYPE_REGION, &region, &err);
         CL_CHECK(err);
 
+        #ifdef GGML_OPENCL_USE_ADRENO_KERNELS
         cl_kernel kernel = backend_ctx->kernel_convert_block_q4_K;
+        if (use_adreno_kernels(backend_ctx, tensor)) {
+            kernel = backend_ctx->kernel_convert_block_q4_K_noshuffle;
+        }
+        #else
+        cl_kernel kernel = backend_ctx->kernel_convert_block_q4_K;
+        #endif
+
+        cl_uchar mask_0F = 0x0F;
+        cl_uchar mask_F0 = 0xF0;
+
         CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &data_device));
         CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &extra->q));
         CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem), &extra->s));
         CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_mem), &extra->d));
         CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_mem), &extra->dm));
+        CL_CHECK(clSetKernelArg(kernel, 5, sizeof(cl_uchar), &mask_0F));
+        CL_CHECK(clSetKernelArg(kernel, 6, sizeof(cl_uchar), &mask_F0));
 
         size_t global_work_size[] = {(size_t)ggml_nelements(tensor)/ggml_blck_size(tensor->type), 1, 1};
         size_t local_work_size[] = {64, 1, 1};
@@ -5076,6 +5134,20 @@ static void ggml_backend_opencl_buffer_set_tensor(ggml_backend_buffer_t buffer,
         CL_CHECK(clReleaseMemObject(data_device));
 
         tensor->extra  = extra;
+#ifdef GGML_OPENCL_USE_ADRENO_KERNELS
+        if (use_adreno_kernels(backend_ctx, tensor)) {
+
+            int M = tensor->ne[1];
+            int K = tensor->ne[0];
+
+            GGML_ASSERT(K % 32 == 0);
+
+            // Transpose q, d, dm as ushort
+            transpose_2d_as_16b(backend_ctx, extra->q, extra->q, size_q, K/4, M);
+            transpose_2d_as_16b(backend_ctx, extra->d, extra->d, size_d, K/256, M);
+            transpose_2d_as_16b(backend_ctx, extra->dm, extra->dm, size_dm, K/256, M);
+        }
+#endif // GGML_OPENCL_USE_ADRENO_KERNELS
         return;
     }
     if (tensor->type == GGML_TYPE_Q6_K) {
@@ -5516,12 +5588,60 @@ static void ggml_backend_opencl_buffer_get_tensor(ggml_backend_buffer_t buffer,
             ggml_nbytes(tensor), NULL, &err);
         CL_CHECK(err);
 
+        cl_uchar mask_0F = 0x0F;
+        cl_uchar mask_F0 = 0xF0;
+
+#ifdef GGML_OPENCL_USE_ADRENO_KERNELS
+        if (use_adreno_kernels(backend_ctx, tensor)) {
+            int M = tensor->ne[1];
+            int K = tensor->ne[0];
+
+            size_t size_q  = ggml_nelements(tensor)/ggml_blck_size(tensor->type)*ggml_blck_size(tensor->type)/2;
+            size_t size_d  = ggml_nelements(tensor)/ggml_blck_size(tensor->type)*sizeof(ggml_fp16_t);
+            size_t size_dm = ggml_nelements(tensor)/ggml_blck_size(tensor->type)*sizeof(ggml_fp16_t);
+
+            static ggml_cl_buffer buf_trans_q;
+            static ggml_cl_buffer buf_trans_d;
+            static ggml_cl_buffer buf_trans_dm;
+
+            buf_trans_q.allocate(backend_ctx->context, size_q);
+            buf_trans_d.allocate(backend_ctx->context, size_d);
+            buf_trans_dm.allocate(backend_ctx->context, size_dm);
+
+            // Transpose q, d, dm back
+            transpose_2d_as_16b(backend_ctx, extra->q,  buf_trans_q.buffer,  size_q,  M, K/4);
+            transpose_2d_as_16b(backend_ctx, extra->d,  buf_trans_d.buffer,  size_d,  M, K/256);
+            transpose_2d_as_16b(backend_ctx, extra->dm, buf_trans_dm.buffer, size_dm, M, K/256);
+
+            cl_kernel kernel = backend_ctx->kernel_restore_block_q4_K_noshuffle;
+            CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &buf_trans_q.buffer));
+            CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &extra->s));
+            CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem), &buf_trans_d.buffer));
+            CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_mem), &buf_trans_dm.buffer));
+            CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_mem), &data_device));
+            CL_CHECK(clSetKernelArg(kernel, 5, sizeof(cl_uchar), &mask_0F));
+            CL_CHECK(clSetKernelArg(kernel, 6, sizeof(cl_uchar), &mask_F0));
+
+            size_t global_work_size[] = {(size_t)ggml_nelements(tensor)/ggml_blck_size(tensor->type), 1, 1};
+            size_t local_work_size[] = {1, 1, 1};
+
+            CL_CHECK(clEnqueueNDRangeKernel(queue, kernel, 3, NULL,
+                global_work_size, local_work_size, 0, NULL, NULL));
+            CL_CHECK(clEnqueueReadBuffer(queue, data_device, CL_TRUE, offset,
+                size, data, 0, NULL, NULL));
+            CL_CHECK(clReleaseMemObject(data_device));
+            return;
+        }
+#endif // GGML_OPENCL_USE_ADRENO_KERNELS
+
         cl_kernel kernel = backend_ctx->kernel_restore_block_q4_K;
         CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &extra->q));
         CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &extra->s));
         CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem), &extra->d));
         CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_mem), &extra->dm));
         CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_mem), &data_device));
+        CL_CHECK(clSetKernelArg(kernel, 5, sizeof(cl_uchar), &mask_0F));
+        CL_CHECK(clSetKernelArg(kernel, 6, sizeof(cl_uchar), &mask_F0));
 
         size_t global_work_size[] = {(size_t)ggml_nelements(tensor)/ggml_blck_size(tensor->type), 1, 1};
         size_t local_work_size[] = {1, 1, 1};
@@ -9688,6 +9808,192 @@ static void ggml_cl_mul_mat_q8_0_f32_adreno(ggml_backend_t backend, const ggml_t
 #endif
 }
 
+static void ggml_cl_mul_mat_q4_k_f32_adreno(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
+#ifdef GGML_OPENCL_USE_ADRENO_KERNELS
+    GGML_ASSERT(src0);
+    GGML_ASSERT(src0->extra);
+    GGML_ASSERT(src1);
+    GGML_ASSERT(src1->extra);
+    GGML_ASSERT(dst);
+    GGML_ASSERT(dst->extra);
+
+    ggml_backend_opencl_context *backend_ctx = (ggml_backend_opencl_context *)backend->context;
+
+    ggml_tensor_extra_cl * extra1 = (ggml_tensor_extra_cl *)src1->extra;
+    ggml_tensor_extra_cl * extrad = (ggml_tensor_extra_cl *)dst->extra;
+    ggml_tensor_extra_cl_q4_K * extra0_q4_k = (ggml_tensor_extra_cl_q4_K *)src0->extra;
+
+    cl_ulong offset1 = extra1->offset + src1->view_offs;
+    cl_ulong offsetd = extrad->offset + dst->view_offs;
+
+    const int  ne00 = src0->ne[0];
+    const int  ne01 = src0->ne[1];
+
+    const int  ne1 = dst->ne[1];
+
+    GGML_ASSERT(ne00 % ggml_blck_size(src0->type) == 0);
+
+    cl_context context = backend_ctx->context;
+    cl_kernel kernel;
+
+    cl_int              err;
+    cl_image_format     img_fmt;
+    cl_image_desc       img_desc;
+    cl_buffer_region    region;
+
+    int M = ne01;
+    int N = ne1;
+    int K = ne00;
+
+    cl_uchar mask_d6 = 0x3F;
+    cl_uchar mask_d4 = 0x0F;
+    cl_uchar mask_hi2 = 0xC0;
+
+    if (ne1 == 1) {
+        cl_mem q_img = nullptr;
+        cl_mem b_sub_buf = nullptr;
+        cl_mem b_img = nullptr;
+
+        // image for q
+        img_fmt = { CL_R, CL_UNSIGNED_INT32};
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = M * K / 2 / 4;
+        img_desc.buffer = extra0_q4_k->q;
+        CL_CHECK((q_img = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt, &img_desc, NULL, &err), err));
+
+        // subbuffer for activations
+        region.origin = offset1;
+        region.size = K * N * sizeof(float);
+        CL_CHECK((b_sub_buf = clCreateSubBuffer(extra1->data_device, 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
+
+        // image for activations
+        img_fmt = {CL_RGBA, CL_FLOAT};
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = K * N / 4;
+        img_desc.buffer = b_sub_buf;
+        CL_CHECK((b_img = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt, &img_desc, NULL, &err), err));
+
+        kernel = backend_ctx->kernel_gemv_noshuffle_q4_k_f32;
+
+        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem),   &q_img));
+        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem),   &extra0_q4_k->d));
+        CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem),   &extra0_q4_k->dm));
+        CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_mem),   &extra0_q4_k->s));
+        CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_mem),   &b_img));
+        CL_CHECK(clSetKernelArg(kernel, 5, sizeof(cl_mem),   &extrad->data_device));
+        CL_CHECK(clSetKernelArg(kernel, 6, sizeof(cl_ulong), &offsetd));
+        CL_CHECK(clSetKernelArg(kernel, 7, sizeof(cl_int),   &ne00));
+        CL_CHECK(clSetKernelArg(kernel, 8, sizeof(cl_int),   &ne01));
+        CL_CHECK(clSetKernelArg(kernel, 9, sizeof(cl_uchar), &mask_d6));
+        CL_CHECK(clSetKernelArg(kernel, 10, sizeof(cl_uchar), &mask_d4));
+        CL_CHECK(clSetKernelArg(kernel, 11, sizeof(cl_uchar), &mask_hi2));
+
+        size_t local_work_size[3] = {64, 4, 1};
+        size_t global_work_size[3] = {(size_t)CEIL_DIV(ne01/2, 64)*64, 4, 1};
+
+        backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
+
+        CL_CHECK(clReleaseMemObject(q_img));
+        CL_CHECK(clReleaseMemObject(b_sub_buf));
+        CL_CHECK(clReleaseMemObject(b_img));
+    } else {
+
+        cl_mem b_sub_buf = nullptr;
+        cl_mem b_sub_buf_trans = nullptr;
+        cl_mem b_img = nullptr;
+        cl_mem b_img_trans = nullptr;
+
+        // subbuffer for activations
+        region.origin = offset1;
+        region.size = K * N * sizeof(float);
+        CL_CHECK((b_sub_buf = clCreateSubBuffer(extra1->data_device, 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
+
+        // image for activations
+        img_fmt = {CL_RGBA, CL_FLOAT};
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = K * N / 4;
+        img_desc.buffer = b_sub_buf;
+        CL_CHECK((b_img = clCreateImage(context, CL_MEM_READ_ONLY, &img_fmt, &img_desc, NULL, &err), err));
+
+        // pad N to multiple of 8
+        int extra_elements = N % 8;
+        int padding = 0;
+        if (extra_elements > 0){
+            padding = 8 - extra_elements;
+        }
+
+        // subbuffer for transposed activations
+        region.origin = 0;
+        region.size = K * (N + padding) * sizeof(float)/2;
+        backend_ctx->prealloc_act_trans.allocate(context, region.size);
+        CL_CHECK((b_sub_buf_trans = clCreateSubBuffer(backend_ctx->prealloc_act_trans.buffer, 0, CL_BUFFER_CREATE_TYPE_REGION, &region, &err), err));
+
+        // image for transposed activations
+        img_fmt = {CL_RGBA, CL_HALF_FLOAT};
+        memset(&img_desc, 0, sizeof(img_desc));
+        img_desc.image_type = CL_MEM_OBJECT_IMAGE1D_BUFFER;
+        img_desc.image_width = K * (N + padding) / 4;
+        img_desc.buffer = b_sub_buf_trans;
+        CL_CHECK((b_img_trans = clCreateImage(context, 0, &img_fmt, &img_desc, NULL, &err), err));
+
+        // transpose activations
+        int height_B = N/4;
+        if (height_B == 0) {
+            height_B = 1;
+        }
+        int width_B = K/4;
+        int padded_height_B = (N + padding)/4;
+
+        kernel = backend_ctx->kernel_transpose_32_16;
+        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &b_img));
+        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem), &b_img_trans));
+        CL_CHECK(clSetKernelArg(kernel, 2, sizeof(int),    &height_B));
+        CL_CHECK(clSetKernelArg(kernel, 3, sizeof(int),    &width_B));
+        CL_CHECK(clSetKernelArg(kernel, 4, sizeof(int),    &padded_height_B));
+
+        size_t local_work_size_t[2] = { 1, 16 };
+        size_t global_work_size_t[2] = { (size_t)width_B, (size_t)padded_height_B };
+        backend_ctx->enqueue_ndrange_kernel(kernel, 2, global_work_size_t, local_work_size_t, dst);
+
+        // gemm
+        kernel = backend_ctx->kernel_gemm_noshuffle_q4_k_f32;
+        int padded_N = N + padding;
+
+        CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem),   &extra0_q4_k->q));
+        CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_mem),   &extra0_q4_k->s));
+        CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem),   &extra0_q4_k->d));
+        CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_mem),   &extra0_q4_k->dm));
+        CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_mem),   &b_img_trans));
+        CL_CHECK(clSetKernelArg(kernel, 5, sizeof(cl_mem),   &extrad->data_device));
+        CL_CHECK(clSetKernelArg(kernel, 6, sizeof(cl_ulong), &offsetd));
+        CL_CHECK(clSetKernelArg(kernel, 7, sizeof(cl_int),   &ne01));
+        CL_CHECK(clSetKernelArg(kernel, 8, sizeof(cl_int),   &padded_N));
+        CL_CHECK(clSetKernelArg(kernel, 9, sizeof(cl_int),   &ne00));
+        CL_CHECK(clSetKernelArg(kernel, 10, sizeof(cl_int),   &ne1));
+        CL_CHECK(clSetKernelArg(kernel, 11, sizeof(cl_uchar), &mask_d6));
+        CL_CHECK(clSetKernelArg(kernel, 12, sizeof(cl_uchar), &mask_d4));
+        CL_CHECK(clSetKernelArg(kernel, 13, sizeof(cl_uchar), &mask_hi2));
+
+        size_t global_work_size[3] = {(size_t)CEIL_DIV(ne1, 8), (size_t)CEIL_DIV(ne01, 4), 1};
+        size_t local_work_size[3] = {1, 128, 1};
+
+        backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
+        CL_CHECK(clReleaseMemObject(b_sub_buf));
+        CL_CHECK(clReleaseMemObject(b_sub_buf_trans));
+        CL_CHECK(clReleaseMemObject(b_img));
+        CL_CHECK(clReleaseMemObject(b_img_trans));
+    }
+#else
+    GGML_UNUSED(backend);
+    GGML_UNUSED(src0);
+    GGML_UNUSED(src1);
+    GGML_UNUSED(dst);
+#endif
+}
+
 static void ggml_cl_mul_mat_q6_K_f32_adreno(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
 #ifdef GGML_OPENCL_USE_ADRENO_KERNELS
     GGML_ASSERT(src0);
@@ -10014,6 +10320,12 @@ static void ggml_cl_mul_mat(ggml_backend_t backend, const ggml_tensor * src0, co
             return;
     }
 
+    // q4_k x fp32
+    if (src0t == GGML_TYPE_Q4_K && src1t == GGML_TYPE_F32) {
+            ggml_cl_mul_mat_q4_k_f32_adreno(backend, src0, src1, dst);
+            return;
+    }
+
     // q6_K x fp32
     if (src0t == GGML_TYPE_Q6_K && src1t == GGML_TYPE_F32) {
         ggml_cl_mul_mat_q6_K_f32_adreno(backend, src0, src1, dst);

ggml/src/ggml-opencl/kernels/cvt.cl

@@ -424,13 +424,17 @@ kernel void kernel_restore_block_q8_0_trans(
 // Convert the block_q4_K format to 4 separate arrays (AOS -> SOA).
 // This kernel does not deshuffle the bits.
 // Each thread processes a super block.
+// Mask args are just to keep the signature consistent with the no-shuffle
+// version and they are not used in this kernel.
 //------------------------------------------------------------------------------
 kernel void kernel_convert_block_q4_K(
     global struct block_q4_K * src0,
     global uchar * dst_q,
     global uchar * dst_s,
     global half  * dst_d,
-    global half  * dst_dm
+    global half  * dst_dm,
+    uchar mask_0F,
+    uchar mask_F0
 ) {
     global struct block_q4_K * b = (global struct block_q4_K *) src0 + get_global_id(0);
     global uchar * q  = (global uchar *) dst_q  + QK_K/2*get_global_id(0);
@@ -451,12 +455,15 @@ kernel void kernel_convert_block_q4_K(
 
 // Restore block_q4_K from flattened arrays.
 // Each thread processes a super block.
+// Mask args are just to keep the signature consistent with the no-shuffle ones.
 kernel void kernel_restore_block_q4_K(
     global uchar * src_q,
     global uchar * src_s,
     global half  * src_d,
     global half  * src_dm,
-    global struct block_q4_K * dst
+    global struct block_q4_K * dst,
+    uchar mask_0F,
+    uchar mask_F0
 ) {
     global struct block_q4_K * b = (global struct block_q4_K *) dst + get_global_id(0);
     global uchar * q  = (global uchar *) src_q  + QK_K/2*get_global_id(0);
@@ -475,6 +482,70 @@ kernel void kernel_restore_block_q4_K(
     }
 }
 
+kernel void kernel_convert_block_q4_K_noshuffle(
+    global struct block_q4_K * src0,
+    global uchar * dst_q,
+    global uchar * dst_s,
+    global half  * dst_d,
+    global half  * dst_dm,
+    uchar mask_0F,
+    uchar mask_F0
+) {
+    global struct block_q4_K * b = (global struct block_q4_K *) src0 + get_global_id(0);
+    global uchar * q  = (global uchar *) dst_q  + QK_K/2 * get_global_id(0);
+    global uchar * s  = (global uchar *) dst_s  + K_SCALE_SIZE * get_global_id(0);
+    global half  * d  = (global half  *) dst_d  + get_global_id(0);
+    global half  * dm = (global half  *) dst_dm + get_global_id(0);
+
+    *d  = b->d;
+    *dm = b->dm;
+
+    for (int i = 0; i < QK_K / 64; ++i) {
+        for (int j = 0; j < 16; ++j) {
+            uchar x0 = b->q[i*32 + 2*j];
+            uchar x1 = b->q[i*32 + 2*j + 1];
+            q[i*32 + j]      = convert_uchar(x0 & mask_0F) | convert_uchar((x1 & mask_0F) << 4);
+            q[i*32 + j + 16] = convert_uchar((x0 & mask_F0) >> 4)   | convert_uchar(x1 & mask_F0);
+        }
+    }
+
+    for (int i = 0; i < K_SCALE_SIZE; ++i) {
+        s[i] = b->s[i];
+    }
+}
+
+kernel void kernel_restore_block_q4_K_noshuffle(
+    global uchar * src_q,
+    global uchar * src_s,
+    global half  * src_d,
+    global half  * src_dm,
+    global struct block_q4_K * dst,
+    uchar mask_0F,
+    uchar mask_F0
+) {
+    global struct block_q4_K * b = (global struct block_q4_K *) dst + get_global_id(0);
+    global uchar * q  = (global uchar *) src_q  + QK_K/2 * get_global_id(0);
+    global uchar * s  = (global uchar *) src_s  + K_SCALE_SIZE * get_global_id(0);
+    global half  * d  = (global half  *) src_d  + get_global_id(0);
+    global half  * dm = (global half  *) src_dm + get_global_id(0);
+
+    b->d  = *d;
+    b->dm = *dm;
+
+    for (int i = 0; i < QK_K / 64; ++i) {
+        for (int j = 0; j < 16; ++j) {
+            uchar lo = q[i*32 + j];
+            uchar hi = q[i*32 + j + 16];
+            b->q[i*32 + 2*j]     = convert_uchar((lo & mask_0F) | ((hi & mask_0F) << 4));
+            b->q[i*32 + 2*j + 1] = convert_uchar(((lo & mask_F0) >> 4) | (hi & mask_F0));
+        }
+    }
+
+    for (int i = 0; i < K_SCALE_SIZE; ++i) {
+        b->s[i] = s[i];
+    }
+}
+
 //------------------------------------------------------------------------------
 // kernel_convert_block_q6_K
 // Convert the block_q6_K format to 3 separate arrays (AOS -> SOA).

ggml/src/ggml-opencl/kernels/gemm_noshuffle_q4_k_f32.cl

@@ -0,0 +1,172 @@
+#pragma OPENCL EXTENSION cl_khr_fp16 : enable
+
+#ifdef cl_qcom_reqd_sub_group_size
+#pragma OPENCL EXTENSION cl_qcom_reqd_sub_group_size : enable
+#define ADRENO_GPU 1
+#define REQD_SUBGROUP_SIZE_128 __attribute__((qcom_reqd_sub_group_size("full")))
+#endif
+#define QK_K         256
+#define K_SCALE_SIZE 12
+
+inline void get_scale_min_k4(
+    int j,
+    global const uchar * q,
+    uchar * d,
+    uchar * m,
+    uchar mask_d6,
+    uchar mask_d4,
+    uchar mask_hi2
+) {
+    if (j < 4) {
+        *d = q[j]   & mask_d6;
+        *m = q[j+4] & mask_d6;
+    } else {
+        *d = (q[j+4] & mask_d4) | ((q[j-4] & mask_hi2) >> 2);
+        *m = ((q[j+4] >> 4) & mask_d4) | ((q[j]   & mask_hi2) >> 2);
+    }
+}
+
+#ifdef ADRENO_GPU
+REQD_SUBGROUP_SIZE_128
+#endif
+kernel void kernel_gemm_noshuffle_q4_k_f32(
+    global const ushort * src0_q,
+    global const uchar  * src0_s,
+    global const half   * src0_d,
+    global const half   * src0_dm,
+    read_only image1d_buffer_t src1,
+    global float * dst,
+    ulong offsetd,
+    int m,
+    int n,
+    int k,
+    int n_no_padding,
+    uchar mask_d6,
+    uchar mask_d4,
+    uchar mask_hi2
+) {
+    dst = (global float *)((global char *)dst + offsetd);
+    int n_4 = n >> 2;
+    int gy = get_global_id(0);
+    int gx = get_global_id(1);
+    int gx_2 = gx << 2;
+
+    half8 c0 = 0, c1 = 0, c2 = 0, c3 = 0;
+    half8 B;
+    half4 dequantized_weights;
+
+    int num_blocks_K = k / QK_K;
+
+    global const ushort * weight_ptr = src0_q + gx_2;
+    global const half   * d_ptr      = src0_d  + gx_2;
+    global const half   * dm_ptr     = src0_dm + gx_2;
+
+    for (int i = 0; i < k; i += 32) {
+        int sb_idx  = i / QK_K;
+        int sub_idx = (i / 32) % 8;
+
+        half4 d  = vload4(0, d_ptr  + sb_idx * m);
+        half4 dm = vload4(0, dm_ptr + sb_idx * m);
+
+        global const uchar * sc0 = src0_s + (gx_2+0) * num_blocks_K * K_SCALE_SIZE + sb_idx * K_SCALE_SIZE;
+        global const uchar * sc1 = src0_s + (gx_2+1) * num_blocks_K * K_SCALE_SIZE + sb_idx * K_SCALE_SIZE;
+        global const uchar * sc2 = src0_s + (gx_2+2) * num_blocks_K * K_SCALE_SIZE + sb_idx * K_SCALE_SIZE;
+        global const uchar * sc3 = src0_s + (gx_2+3) * num_blocks_K * K_SCALE_SIZE + sb_idx * K_SCALE_SIZE;
+
+        uchar sv0, mn0, sv1, mn1, sv2, mn2, sv3, mn3;
+        get_scale_min_k4(sub_idx, sc0, &sv0, &mn0, mask_d6, mask_d4, mask_hi2);
+        get_scale_min_k4(sub_idx, sc1, &sv1, &mn1, mask_d6, mask_d4, mask_hi2);
+        get_scale_min_k4(sub_idx, sc2, &sv2, &mn2, mask_d6, mask_d4, mask_hi2);
+        get_scale_min_k4(sub_idx, sc3, &sv3, &mn3, mask_d6, mask_d4, mask_hi2);
+
+        half4 scale = convert_half4(convert_float4(d)  * convert_float4((uchar4)(sv0, sv1, sv2, sv3)));
+        half4 mval  = convert_half4(convert_float4(dm) * convert_float4((uchar4)(mn0, mn1, mn2, mn3)));
+
+        for (int l = 0; l < 32; l += 4) {
+            int ki = i + l;
+            ushort4 bits4 = vload4(0, weight_ptr + (ki/4) * m);
+
+            // j=0
+            B.s0123 = read_imageh(src1, gy*2   + (ki+0) * n_4);
+            B.s4567 = read_imageh(src1, gy*2+1 + (ki+0) * n_4);
+            dequantized_weights.s0 = (bits4.s0 & 0x000F) * scale.s0 - mval.s0;
+            dequantized_weights.s1 = (bits4.s1 & 0x000F) * scale.s1 - mval.s1;
+            dequantized_weights.s2 = (bits4.s2 & 0x000F) * scale.s2 - mval.s2;
+            dequantized_weights.s3 = (bits4.s3 & 0x000F) * scale.s3 - mval.s3;
+            c0 += B * dequantized_weights.s0;
+            c1 += B * dequantized_weights.s1;
+            c2 += B * dequantized_weights.s2;
+            c3 += B * dequantized_weights.s3;
+
+            // j=1
+            B.s0123 = read_imageh(src1, gy*2   + (ki+1) * n_4);
+            B.s4567 = read_imageh(src1, gy*2+1 + (ki+1) * n_4);
+            dequantized_weights.s0 = ((bits4.s0 & 0x00F0) >> 4) * scale.s0 - mval.s0;
+            dequantized_weights.s1 = ((bits4.s1 & 0x00F0) >> 4) * scale.s1 - mval.s1;
+            dequantized_weights.s2 = ((bits4.s2 & 0x00F0) >> 4) * scale.s2 - mval.s2;
+            dequantized_weights.s3 = ((bits4.s3 & 0x00F0) >> 4) * scale.s3 - mval.s3;
+            c0 += B * dequantized_weights.s0;
+            c1 += B * dequantized_weights.s1;
+            c2 += B * dequantized_weights.s2;
+            c3 += B * dequantized_weights.s3;
+
+            // j=2
+            B.s0123 = read_imageh(src1, gy*2   + (ki+2) * n_4);
+            B.s4567 = read_imageh(src1, gy*2+1 + (ki+2) * n_4);
+            dequantized_weights.s0 = ((bits4.s0 & 0x0F00) >> 8) * scale.s0 - mval.s0;
+            dequantized_weights.s1 = ((bits4.s1 & 0x0F00) >> 8) * scale.s1 - mval.s1;
+            dequantized_weights.s2 = ((bits4.s2 & 0x0F00) >> 8) * scale.s2 - mval.s2;
+            dequantized_weights.s3 = ((bits4.s3 & 0x0F00) >> 8) * scale.s3 - mval.s3;
+            c0 += B * dequantized_weights.s0;
+            c1 += B * dequantized_weights.s1;
+            c2 += B * dequantized_weights.s2;
+            c3 += B * dequantized_weights.s3;
+
+            // j=3
+            B.s0123 = read_imageh(src1, gy*2   + (ki+3) * n_4);
+            B.s4567 = read_imageh(src1, gy*2+1 + (ki+3) * n_4);
+            dequantized_weights.s0 = ((bits4.s0 & 0xF000) >> 12) * scale.s0 - mval.s0;
+            dequantized_weights.s1 = ((bits4.s1 & 0xF000) >> 12) * scale.s1 - mval.s1;
+            dequantized_weights.s2 = ((bits4.s2 & 0xF000) >> 12) * scale.s2 - mval.s2;
+            dequantized_weights.s3 = ((bits4.s3 & 0xF000) >> 12) * scale.s3 - mval.s3;
+            c0 += B * dequantized_weights.s0;
+            c1 += B * dequantized_weights.s1;
+            c2 += B * dequantized_weights.s2;
+            c3 += B * dequantized_weights.s3;
+        }
+    }
+
+    int idx = (gy<<3)*m + (gx<<2);
+
+    if (idx+3 < m*n_no_padding) {
+        vstore4((float4)(c0.s0, c1.s0, c2.s0, c3.s0), 0, dst + idx);
+        idx += m;
+    }
+    if (idx+3 < m*n_no_padding) {
+        vstore4((float4)(c0.s1, c1.s1, c2.s1, c3.s1), 0, dst + idx);
+        idx += m;
+    }
+    if (idx+3 < m*n_no_padding) {
+        vstore4((float4)(c0.s2, c1.s2, c2.s2, c3.s2), 0, dst + idx);
+        idx += m;
+    }
+    if (idx+3 < m*n_no_padding) {
+        vstore4((float4)(c0.s3, c1.s3, c2.s3, c3.s3), 0, dst + idx);
+        idx += m;
+    }
+    if (idx+3 < m*n_no_padding) {
+        vstore4((float4)(c0.s4, c1.s4, c2.s4, c3.s4), 0, dst + idx);
+        idx += m;
+    }
+    if (idx+3 < m*n_no_padding) {
+        vstore4((float4)(c0.s5, c1.s5, c2.s5, c3.s5), 0, dst + idx);
+        idx += m;
+    }
+    if (idx+3 < m*n_no_padding) {
+        vstore4((float4)(c0.s6, c1.s6, c2.s6, c3.s6), 0, dst + idx);
+        idx += m;
+    }
+    if (idx+3 < m*n_no_padding) {
+        vstore4((float4)(c0.s7, c1.s7, c2.s7, c3.s7), 0, dst + idx);
+    }
+}

ggml/src/ggml-opencl/kernels/gemv_noshuffle_q4_k_f32.cl

@@ -0,0 +1,318 @@
+#pragma OPENCL EXTENSION cl_khr_fp16 : enable
+#pragma OPENCL EXTENSION cl_khr_subgroups : enable
+
+#ifdef cl_qcom_reqd_sub_group_size
+#pragma OPENCL EXTENSION cl_qcom_reqd_sub_group_size : enable
+#define ADRENO_GPU 1
+#define REQD_SUBGROUP_SIZE_64 __attribute__((qcom_reqd_sub_group_size("half")))
+#endif
+
+#define QK_K  256
+#define NSUBGROUPS 4
+#define SUBGROUP_SIZE 64
+
+inline void get_scale_min_k4(
+    int j,
+    global const uchar * q,
+    uchar * d,
+    uchar * m,
+    uchar mask_d6,
+    uchar mask_d4,
+    uchar mask_hi2
+) {
+    if (j < 4) {
+        *d = q[j]   & mask_d6;
+        *m = q[j+4] & mask_d6;
+    } else {
+        *d = (q[j+4] & mask_d4) | ((q[j-4] & mask_hi2) >> 2);
+        *m = ((q[j+4] >> 4) & mask_d4) | ((q[j]   & mask_hi2) >> 2);
+    }
+}
+
+#define dequantizeBlockAccum_ns_sgbroadcast_1_hi(total_sums, bits4, scale, minv, y) \
+    float shared_y; \
+    shared_y = sub_group_broadcast(y.s0, 0); \
+    total_sums.s0 += ((bits4.s0 & 0x000F) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((bits4.s1 & 0x000F) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s1, 0); \
+    total_sums.s0 += (((bits4.s0 & 0x00F0) >> 4) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s1 & 0x00F0) >> 4) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s2, 0); \
+    total_sums.s0 += (((bits4.s0 & 0x0F00) >> 8) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s1 & 0x0F00) >> 8) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s3, 0); \
+    total_sums.s0 += (((bits4.s0 & 0xF000) >> 12) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s1 & 0xF000) >> 12) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s4, 0); \
+    total_sums.s0 += ((bits4.s2 & 0x000F) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((bits4.s3 & 0x000F) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s5, 0); \
+    total_sums.s0 += (((bits4.s2 & 0x00F0) >> 4) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s3 & 0x00F0) >> 4) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s6, 0); \
+    total_sums.s0 += (((bits4.s2 & 0x0F00) >> 8) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s3 & 0x0F00) >> 8) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s7, 0); \
+    total_sums.s0 += (((bits4.s2 & 0xF000) >> 12) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s3 & 0xF000) >> 12) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s0, 1); \
+    total_sums.s0 += ((bits4.s4 & 0x000F) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((bits4.s5 & 0x000F) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s1, 1); \
+    total_sums.s0 += (((bits4.s4 & 0x00F0) >> 4) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s5 & 0x00F0) >> 4) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s2, 1); \
+    total_sums.s0 += (((bits4.s4 & 0x0F00) >> 8) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s5 & 0x0F00) >> 8) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s3, 1); \
+    total_sums.s0 += (((bits4.s4 & 0xF000) >> 12) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s5 & 0xF000) >> 12) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s4, 1); \
+    total_sums.s0 += ((bits4.s6 & 0x000F) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((bits4.s7 & 0x000F) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s5, 1); \
+    total_sums.s0 += (((bits4.s6 & 0x00F0) >> 4) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s7 & 0x00F0) >> 4) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s6, 1); \
+    total_sums.s0 += (((bits4.s6 & 0x0F00) >> 8) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s7 & 0x0F00) >> 8) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s7, 1); \
+    total_sums.s0 += (((bits4.s6 & 0xF000) >> 12) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s7 & 0xF000) >> 12) * scale.s1 - minv.s1) * shared_y; \
+
+
+#define dequantizeBlockAccum_ns_sgbroadcast_1_lo(total_sums, bits4, scale, minv, y) \
+    shared_y = sub_group_broadcast(y.s0, 2); \
+    total_sums.s0 += ((bits4.s0 & 0x000F) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((bits4.s1 & 0x000F) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s1, 2); \
+    total_sums.s0 += (((bits4.s0 & 0x00F0) >> 4) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s1 & 0x00F0) >> 4) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s2, 2); \
+    total_sums.s0 += (((bits4.s0 & 0x0F00) >> 8) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s1 & 0x0F00) >> 8) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s3, 2); \
+    total_sums.s0 += (((bits4.s0 & 0xF000) >> 12) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s1 & 0xF000) >> 12) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s4, 2); \
+    total_sums.s0 += ((bits4.s2 & 0x000F) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((bits4.s3 & 0x000F) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s5, 2); \
+    total_sums.s0 += (((bits4.s2 & 0x00F0) >> 4) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s3 & 0x00F0) >> 4) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s6, 2); \
+    total_sums.s0 += (((bits4.s2 & 0x0F00) >> 8) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s3 & 0x0F00) >> 8) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s7, 2); \
+    total_sums.s0 += (((bits4.s2 & 0xF000) >> 12) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s3 & 0xF000) >> 12) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s0, 3); \
+    total_sums.s0 += ((bits4.s4 & 0x000F) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((bits4.s5 & 0x000F) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s1, 3); \
+    total_sums.s0 += (((bits4.s4 & 0x00F0) >> 4) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s5 & 0x00F0) >> 4) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s2, 3); \
+    total_sums.s0 += (((bits4.s4 & 0x0F00) >> 8) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s5 & 0x0F00) >> 8) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s3, 3); \
+    total_sums.s0 += (((bits4.s4 & 0xF000) >> 12) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s5 & 0xF000) >> 12) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s4, 3); \
+    total_sums.s0 += ((bits4.s6 & 0x000F) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += ((bits4.s7 & 0x000F) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s5, 3); \
+    total_sums.s0 += (((bits4.s6 & 0x00F0) >> 4) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s7 & 0x00F0) >> 4) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s6, 3); \
+    total_sums.s0 += (((bits4.s6 & 0x0F00) >> 8) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s7 & 0x0F00) >> 8) * scale.s1 - minv.s1) * shared_y; \
+    shared_y = sub_group_broadcast(y.s7, 3); \
+    total_sums.s0 += (((bits4.s6 & 0xF000) >> 12) * scale.s0 - minv.s0) * shared_y; \
+    total_sums.s1 += (((bits4.s7 & 0xF000) >> 12) * scale.s1 - minv.s1) * shared_y; \
+
+
+#define dequantizeBlockAccum_ns_sgbroadcast_8_hi(total_sums, bits4, scale, minv, y) \
+    float8 shared_y; \
+    shared_y = sub_group_broadcast(y, 0); \
+    total_sums.s0 += ((bits4.s0 & 0x000F)         * scale.s0 - minv.s0) * shared_y.s0; \
+    total_sums.s0 += (((bits4.s0 & 0x00F0) >> 4)  * scale.s0 - minv.s0) * shared_y.s1; \
+    total_sums.s0 += (((bits4.s0 & 0x0F00) >> 8)  * scale.s0 - minv.s0) * shared_y.s2; \
+    total_sums.s0 += (((bits4.s0 & 0xF000) >> 12) * scale.s0 - minv.s0) * shared_y.s3; \
+    total_sums.s0 += ((bits4.s2 & 0x000F)         * scale.s0 - minv.s0) * shared_y.s4; \
+    total_sums.s0 += (((bits4.s2 & 0x00F0) >> 4)  * scale.s0 - minv.s0) * shared_y.s5; \
+    total_sums.s0 += (((bits4.s2 & 0x0F00) >> 8)  * scale.s0 - minv.s0) * shared_y.s6; \
+    total_sums.s0 += (((bits4.s2 & 0xF000) >> 12) * scale.s0 - minv.s0) * shared_y.s7; \
+    total_sums.s1 += ((bits4.s1 & 0x000F)         * scale.s1 - minv.s1) * shared_y.s0; \
+    total_sums.s1 += (((bits4.s1 & 0x00F0) >> 4)  * scale.s1 - minv.s1) * shared_y.s1; \
+    total_sums.s1 += (((bits4.s1 & 0x0F00) >> 8)  * scale.s1 - minv.s1) * shared_y.s2; \
+    total_sums.s1 += (((bits4.s1 & 0xF000) >> 12) * scale.s1 - minv.s1) * shared_y.s3; \
+    total_sums.s1 += ((bits4.s3 & 0x000F)         * scale.s1 - minv.s1) * shared_y.s4; \
+    total_sums.s1 += (((bits4.s3 & 0x00F0) >> 4)  * scale.s1 - minv.s1) * shared_y.s5; \
+    total_sums.s1 += (((bits4.s3 & 0x0F00) >> 8)  * scale.s1 - minv.s1) * shared_y.s6; \
+    total_sums.s1 += (((bits4.s3 & 0xF000) >> 12) * scale.s1 - minv.s1) * shared_y.s7; \
+    shared_y = sub_group_broadcast(y, 1); \
+    total_sums.s0 += ((bits4.s4 & 0x000F)         * scale.s0 - minv.s0) * shared_y.s0; \
+    total_sums.s0 += (((bits4.s4 & 0x00F0) >> 4)  * scale.s0 - minv.s0) * shared_y.s1; \
+    total_sums.s0 += (((bits4.s4 & 0x0F00) >> 8)  * scale.s0 - minv.s0) * shared_y.s2; \
+    total_sums.s0 += (((bits4.s4 & 0xF000) >> 12) * scale.s0 - minv.s0) * shared_y.s3; \
+    total_sums.s0 += ((bits4.s6 & 0x000F)         * scale.s0 - minv.s0) * shared_y.s4; \
+    total_sums.s0 += (((bits4.s6 & 0x00F0) >> 4)  * scale.s0 - minv.s0) * shared_y.s5; \
+    total_sums.s0 += (((bits4.s6 & 0x0F00) >> 8)  * scale.s0 - minv.s0) * shared_y.s6; \
+    total_sums.s0 += (((bits4.s6 & 0xF000) >> 12) * scale.s0 - minv.s0) * shared_y.s7; \
+    total_sums.s1 += ((bits4.s5 & 0x000F)         * scale.s1 - minv.s1) * shared_y.s0; \
+    total_sums.s1 += (((bits4.s5 & 0x00F0) >> 4)  * scale.s1 - minv.s1) * shared_y.s1; \
+    total_sums.s1 += (((bits4.s5 & 0x0F00) >> 8)  * scale.s1 - minv.s1) * shared_y.s2; \
+    total_sums.s1 += (((bits4.s5 & 0xF000) >> 12) * scale.s1 - minv.s1) * shared_y.s3; \
+    total_sums.s1 += ((bits4.s7 & 0x000F)         * scale.s1 - minv.s1) * shared_y.s4; \
+    total_sums.s1 += (((bits4.s7 & 0x00F0) >> 4)  * scale.s1 - minv.s1) * shared_y.s5; \
+    total_sums.s1 += (((bits4.s7 & 0x0F00) >> 8)  * scale.s1 - minv.s1) * shared_y.s6; \
+    total_sums.s1 += (((bits4.s7 & 0xF000) >> 12) * scale.s1 - minv.s1) * shared_y.s7; \
+
+
+#define dequantizeBlockAccum_ns_sgbroadcast_8_lo(total_sums, bits4, scale, minv, y) \
+    shared_y = sub_group_broadcast(y, 2); \
+    total_sums.s0 += ((bits4.s0 & 0x000F)         * scale.s0 - minv.s0) * shared_y.s0; \
+    total_sums.s0 += (((bits4.s0 & 0x00F0) >> 4)  * scale.s0 - minv.s0) * shared_y.s1; \
+    total_sums.s0 += (((bits4.s0 & 0x0F00) >> 8)  * scale.s0 - minv.s0) * shared_y.s2; \
+    total_sums.s0 += (((bits4.s0 & 0xF000) >> 12) * scale.s0 - minv.s0) * shared_y.s3; \
+    total_sums.s0 += ((bits4.s2 & 0x000F)         * scale.s0 - minv.s0) * shared_y.s4; \
+    total_sums.s0 += (((bits4.s2 & 0x00F0) >> 4)  * scale.s0 - minv.s0) * shared_y.s5; \
+    total_sums.s0 += (((bits4.s2 & 0x0F00) >> 8)  * scale.s0 - minv.s0) * shared_y.s6; \
+    total_sums.s0 += (((bits4.s2 & 0xF000) >> 12) * scale.s0 - minv.s0) * shared_y.s7; \
+    total_sums.s1 += ((bits4.s1 & 0x000F)         * scale.s1 - minv.s1) * shared_y.s0; \
+    total_sums.s1 += (((bits4.s1 & 0x00F0) >> 4)  * scale.s1 - minv.s1) * shared_y.s1; \
+    total_sums.s1 += (((bits4.s1 & 0x0F00) >> 8)  * scale.s1 - minv.s1) * shared_y.s2; \
+    total_sums.s1 += (((bits4.s1 & 0xF000) >> 12) * scale.s1 - minv.s1) * shared_y.s3; \
+    total_sums.s1 += ((bits4.s3 & 0x000F)         * scale.s1 - minv.s1) * shared_y.s4; \
+    total_sums.s1 += (((bits4.s3 & 0x00F0) >> 4)  * scale.s1 - minv.s1) * shared_y.s5; \
+    total_sums.s1 += (((bits4.s3 & 0x0F00) >> 8)  * scale.s1 - minv.s1) * shared_y.s6; \
+    total_sums.s1 += (((bits4.s3 & 0xF000) >> 12) * scale.s1 - minv.s1) * shared_y.s7; \
+    shared_y = sub_group_broadcast(y, 3); \
+    total_sums.s0 += ((bits4.s4 & 0x000F)         * scale.s0 - minv.s0) * shared_y.s0; \
+    total_sums.s0 += (((bits4.s4 & 0x00F0) >> 4)  * scale.s0 - minv.s0) * shared_y.s1; \
+    total_sums.s0 += (((bits4.s4 & 0x0F00) >> 8)  * scale.s0 - minv.s0) * shared_y.s2; \
+    total_sums.s0 += (((bits4.s4 & 0xF000) >> 12) * scale.s0 - minv.s0) * shared_y.s3; \
+    total_sums.s0 += ((bits4.s6 & 0x000F)         * scale.s0 - minv.s0) * shared_y.s4; \
+    total_sums.s0 += (((bits4.s6 & 0x00F0) >> 4)  * scale.s0 - minv.s0) * shared_y.s5; \
+    total_sums.s0 += (((bits4.s6 & 0x0F00) >> 8)  * scale.s0 - minv.s0) * shared_y.s6; \
+    total_sums.s0 += (((bits4.s6 & 0xF000) >> 12) * scale.s0 - minv.s0) * shared_y.s7; \
+    total_sums.s1 += ((bits4.s5 & 0x000F)         * scale.s1 - minv.s1) * shared_y.s0; \
+    total_sums.s1 += (((bits4.s5 & 0x00F0) >> 4)  * scale.s1 - minv.s1) * shared_y.s1; \
+    total_sums.s1 += (((bits4.s5 & 0x0F00) >> 8)  * scale.s1 - minv.s1) * shared_y.s2; \
+    total_sums.s1 += (((bits4.s5 & 0xF000) >> 12) * scale.s1 - minv.s1) * shared_y.s3; \
+    total_sums.s1 += ((bits4.s7 & 0x000F)         * scale.s1 - minv.s1) * shared_y.s4; \
+    total_sums.s1 += (((bits4.s7 & 0x00F0) >> 4)  * scale.s1 - minv.s1) * shared_y.s5; \
+    total_sums.s1 += (((bits4.s7 & 0x0F00) >> 8)  * scale.s1 - minv.s1) * shared_y.s6; \
+    total_sums.s1 += (((bits4.s7 & 0xF000) >> 12) * scale.s1 - minv.s1) * shared_y.s7; \
+
+#ifdef ADRENO_GPU
+REQD_SUBGROUP_SIZE_64
+#endif
+kernel void kernel_gemv_noshuffle_q4_k_f32(
+        read_only  image1d_buffer_t src0_q,
+        global half2  * src0_d,
+        global half2  * src0_m,
+        global uchar  * src0_s,
+        read_only  image1d_buffer_t src1,
+        global float * dst,
+        ulong offsetd,
+        int ne00,
+        int ne01,
+        uchar mask_d6,
+        uchar mask_d4,
+        uchar mask_hi2)
+{
+    uint groupId = get_local_id(1);
+    uint gid     = get_global_id(0);
+    ushort slid  = get_sub_group_local_id();
+
+    uint K = ne00;
+    uint M = ne01;
+
+    uint LINE_STRIDE_A  = M / 2;
+    uint BLOCK_STRIDE_A = NSUBGROUPS * M;
+    uint scales_per_row = (K / QK_K) * 12;
+
+    private uint4     regA;
+    private half2     regS;
+    private half2     regM;
+    private float8    regB;
+
+    private float2 totalSum = (float2)(0.0f);
+
+    for (uint k = groupId; k < (K / 32); k += NSUBGROUPS) {
+        uint sb = k / 8;
+        uint j  = k % 8;
+
+        half2 d   = src0_d[gid + sb * LINE_STRIDE_A];
+        half2 dm  = src0_m[gid + sb * LINE_STRIDE_A];
+
+        global const uchar * sc0 = src0_s + 2 * gid * scales_per_row + sb * 12;
+        global const uchar * sc1 = src0_s + (2 * gid + 1) * scales_per_row + sb * 12;
+
+        uchar sv0, mn0, sv1, mn1;
+        get_scale_min_k4(j, sc0, &sv0, &mn0, mask_d6, mask_d4, mask_hi2);
+        get_scale_min_k4(j, sc1, &sv1, &mn1, mask_d6, mask_d4, mask_hi2);
+
+        regS = convert_half2(convert_float2(d)  * convert_float2((uchar2)(sv0, sv1)));
+        regM = convert_half2(convert_float2(dm) * convert_float2((uchar2)(mn0, mn1)));
+
+        if (slid < 4) {
+            regB.s0123 = read_imagef(src1, (slid * 2 + k * 8));
+            regB.s4567 = read_imagef(src1, (1 + slid * 2 + k * 8));
+        }
+
+        // load half weights for two blocks in consecutive rows
+        regA.s0 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 0)).x;
+        regA.s1 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 1)).x;
+        regA.s2 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 2)).x;
+        regA.s3 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 3)).x;
+#ifdef VECTOR_SUB_GROUP_BROADCAST
+        dequantizeBlockAccum_ns_sgbroadcast_8_hi(totalSum, as_ushort8(regA), regS, regM, regB);
+#else
+        dequantizeBlockAccum_ns_sgbroadcast_1_hi(totalSum, as_ushort8(regA), regS, regM, regB);
+#endif // VECTOR_SUB_GROUP_BROADCAST
+
+        regA.s0 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 4)).x;
+        regA.s1 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 5)).x;
+        regA.s2 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 6)).x;
+        regA.s3 = read_imageui(src0_q, (gid + k * BLOCK_STRIDE_A + LINE_STRIDE_A * 7)).x;
+#ifdef VECTOR_SUB_GROUP_BROADCAST
+        dequantizeBlockAccum_ns_sgbroadcast_8_lo(totalSum, as_ushort8(regA), regS, regM, regB);
+#else
+        dequantizeBlockAccum_ns_sgbroadcast_1_lo(totalSum, as_ushort8(regA), regS, regM, regB);
+#endif // VECTOR_SUB_GROUP_BROADCAST
+    }
+
+    // reduction in local memory, assumes #wave=4
+    local float2 reduceLM[SUBGROUP_SIZE * 3];
+    if (groupId == 1) {
+        reduceLM[SUBGROUP_SIZE * 0 + slid] = totalSum;
+    }
+    if (groupId == 2) {
+        reduceLM[SUBGROUP_SIZE * 1 + slid] = totalSum;
+    }
+    if (groupId == 3) {
+        reduceLM[SUBGROUP_SIZE * 2 + slid] = totalSum;
+    }
+
+    barrier(CLK_LOCAL_MEM_FENCE);
+
+    if (groupId == 0) {
+        totalSum += reduceLM[SUBGROUP_SIZE * 0 + slid];
+    }
+    if (groupId == 0) {
+        totalSum += reduceLM[SUBGROUP_SIZE * 1 + slid];
+    }
+    if (groupId == 0) {
+        totalSum += reduceLM[SUBGROUP_SIZE * 2 + slid];
+    }
+
+    // 2 outputs per fiber in wave 0
+    if (groupId == 0) {
+        dst = (global float*)((global char*)dst + offsetd);
+        vstore2(totalSum, 0, &(dst[gid * 2]));
+    }
+
+}

ggml/src/ggml-sycl/fattn-tile.hpp

@@ -70,6 +70,7 @@ static constexpr uint32_t ggml_sycl_fattn_tile_get_config_fp16(const int DKQ, co
     GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512,  4, 128, 2,  64,  64)
     GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512,  8, 256, 2,  64,  64)
     GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 16, 256, 2,  64,  64)
+    GGML_SYCL_FATTN_TILE_CONFIG_CASE(576, 512, 32, 256, 2,  64,  64)
 
     return 0;
 }
@@ -310,11 +311,11 @@ static __dpct_inline__ void flash_attn_tile_load_tile(const sycl::half2 * const
                                                       sycl::half2 * const __restrict__ tile_KV,
                                                       const int stride_KV,
                                                       const int i_sup) {
+    auto      item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>();
     constexpr int cpy_nb = ggml_sycl_get_max_cpy_bytes();
     constexpr int cpy_ne = cpy_nb / 4;
 
     auto load = [&] (const int n) {
-        auto      item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>();
         const int stride_j = warp_size >> n;
 
         if (stride_j == 0) {
@@ -455,7 +456,7 @@ static __dpct_inline__ void flash_attn_tile_iter_KQ(T_vec_dot * const Q_tmp,
 
     flash_attn_tile_load_tile<warp_size, nwarps, nbatch_fa, nbatch_K, cpy_ne, oob_check>
         (K_h2 + int64_t(k_VKQ_0)*stride_K2 + k_KQ_0/2, KV_tmp, stride_K2, k_VKQ_sup);
-    item_ct1.barrier();
+    item_ct1.barrier(sycl::access::fence_space::local_space);
 
 #ifdef SYCL_FAST_FP16
     static_assert((nbatch_K/2) % cpy_ne == 0, "bad nbatch_K");
@@ -505,7 +506,7 @@ static __dpct_inline__ void flash_attn_tile_iter_KQ(T_vec_dot * const Q_tmp,
     }
 
     if (k_KQ_0 + nbatch_K < DKQ) {
-        item_ct1.barrier();  // Sync not needed on last iteration.
+        item_ct1.barrier(sycl::access::fence_space::local_space);  // Sync not needed on last iteration.
     }
 }
 
@@ -545,7 +546,7 @@ static __dpct_inline__ void flash_attn_tile_iter(T_vec_dot * const Q_tmp,
                                                  const int         k_VKQ_max,
                                                  const int         col_Q_0,
                                                  float *           KQ_max_new_shared) {
-    auto          item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>();
+    auto item_ct1 = sycl::ext::oneapi::this_work_item::get_nd_item<3>();
     constexpr int cpy_nb   = ggml_sycl_get_max_cpy_bytes();
     constexpr int cpy_ne = cpy_nb / 4;
 
@@ -620,14 +621,14 @@ static __dpct_inline__ void flash_attn_tile_iter(T_vec_dot * const Q_tmp,
     }
 
     if constexpr (np == 1) {
-        item_ct1.barrier();
+        item_ct1.barrier(sycl::access::fence_space::local_space);
     } else {
         static_assert(cpw == 1, "bad cpw");
 
         if (item_ct1.get_local_id(2) == 0) {
             KQ_max_new_shared[item_ct1.get_local_id(1)] = KQ_max_new[0];
         }
-        item_ct1.barrier();
+        item_ct1.barrier(sycl::access::fence_space::local_space);
         KQ_max_new[0] = KQ_max_new_shared[(item_ct1.get_local_id(1) & ~(np - 1)) + item_ct1.get_local_id(2) % np];
         KQ_max_new[0] = warp_reduce_max<np>(KQ_max_new[0]);
     }
@@ -697,7 +698,7 @@ static __dpct_inline__ void flash_attn_tile_iter(T_vec_dot * const Q_tmp,
     for (int k0 = 0; k0 < nbatch_fa; k0 += nbatch_V) {
         flash_attn_tile_load_tile<warp_size, nwarps, nbatch_V, DV, 0, oob_check>
             (V_h2 + int64_t(k_VKQ_0 + k0)*stride_V2, KV_tmp, stride_V2, k_VKQ_sup - k0);
-        item_ct1.barrier();
+        item_ct1.barrier(sycl::access::fence_space::local_space);
 
 #ifdef SYCL_FAST_FP16
 #pragma unroll
@@ -765,7 +766,7 @@ static __dpct_inline__ void flash_attn_tile_iter(T_vec_dot * const Q_tmp,
             }
         }
 #endif // SYCL_FAST_FP16
-        item_ct1.barrier();
+        item_ct1.barrier(sycl::access::fence_space::local_space);
     }
 }
 
@@ -972,7 +973,7 @@ static void flash_attn_tile(const char *  Q,
         }
     }
 
-    item_ct1.barrier();
+    item_ct1.barrier(sycl::access::fence_space::local_space);
 
     // Main loop over KV cache:
     const int k_VKQ_max = KV_max ? KV_max[sequence * item_ct1.get_group_range(2) + item_ct1.get_group(2)] : ne11;
@@ -1051,7 +1052,7 @@ static void flash_attn_tile(const char *  Q,
             return;
         }
 
-        item_ct1.barrier();
+        item_ct1.barrier(sycl::access::fence_space::local_space);
 
 #pragma unroll
         for (int ip = 1; ip < np; ++ip) {
@@ -1193,37 +1194,39 @@ static void launch_fattn_tile_switch_ncols1(ggml_backend_sycl_context & ctx, ggm
 
     constexpr size_t nbytes_shared = 0;
 
-    if constexpr (DV <= 256) {
-        if (Q->ne[1] > 16/ncols2) {
-            constexpr int cols_per_block = 32;
-            const int nwarps    = ggml_sycl_fattn_tile_get_nthreads (DKQ, DV, cols_per_block, cc) / warp_size;
-            const int nbatch_fa = ggml_sycl_fattn_tile_get_nbatch_fa(DKQ, DV, cols_per_block, cc);
-            launch_fattn<DV, cols_per_block/ncols2, ncols2,
-                flash_attn_tile<DKQ, DV, cols_per_block / ncols2, ncols2, use_logit_softcap, warp_size>, warp_size>
-                (ctx, dst, nwarps, nbytes_shared, nbatch_fa, true, true, false);
-            return;
+    if (DV < 512 && Q->ne[1] < 32) {
+        if constexpr (ncols2 <= 32) {
+            if (Q->ne[1] > 16/ncols2) {
+                constexpr int cols_per_block = 32;
+                const int nwarps    = ggml_sycl_fattn_tile_get_nthreads (DKQ, DV, cols_per_block, cc) / warp_size;
+                const int nbatch_fa = ggml_sycl_fattn_tile_get_nbatch_fa(DKQ, DV, cols_per_block, cc);
+                launch_fattn<DV, cols_per_block/ncols2, ncols2,
+                    flash_attn_tile<DKQ, DV, cols_per_block / ncols2, ncols2, use_logit_softcap, warp_size>, warp_size>
+                    (ctx, dst, nwarps, nbytes_shared, nbatch_fa, true, true, false);
+                return;
+            }
         }
-    }
-
-    if (Q->ne[1] > 8/ncols2) {
-        constexpr int cols_per_block = 16;
-        const int nwarps    = ggml_sycl_fattn_tile_get_nthreads (DKQ, DV, cols_per_block, cc) / warp_size;
-        const int nbatch_fa = ggml_sycl_fattn_tile_get_nbatch_fa(DKQ, DV, cols_per_block, cc);
-        launch_fattn<DV, cols_per_block/ncols2, ncols2,
-            flash_attn_tile<DKQ, DV, cols_per_block / ncols2, ncols2, use_logit_softcap, warp_size>, warp_size>
-            (ctx, dst, nwarps, nbytes_shared, nbatch_fa, true, true, false);
-        return;
-    }
-
-    if constexpr (ncols2 <= 8) {
-        if (Q->ne[1] > 4/ncols2) {
-            constexpr int cols_per_block = 8;
-            const int nwarps    = ggml_sycl_fattn_tile_get_nthreads (DKQ, DV, cols_per_block, cc) / warp_size;
-            const int nbatch_fa = ggml_sycl_fattn_tile_get_nbatch_fa(DKQ, DV, cols_per_block, cc);
-            launch_fattn<DV, cols_per_block/ncols2, ncols2,
-                flash_attn_tile<DKQ, DV, cols_per_block / ncols2, ncols2, use_logit_softcap, warp_size>, warp_size>
-                (ctx, dst, nwarps, nbytes_shared, nbatch_fa, true, true, false);
-            return;
+        if constexpr (ncols2 <= 16) {
+            if (Q->ne[1] > 8/ncols2) {
+                constexpr int cols_per_block = 16;
+                const int nwarps    = ggml_sycl_fattn_tile_get_nthreads (DKQ, DV, cols_per_block, cc) / warp_size;
+                const int nbatch_fa = ggml_sycl_fattn_tile_get_nbatch_fa(DKQ, DV, cols_per_block, cc);
+                launch_fattn<DV, cols_per_block/ncols2, ncols2,
+                    flash_attn_tile<DKQ, DV, cols_per_block / ncols2, ncols2, use_logit_softcap, warp_size>, warp_size>
+                    (ctx, dst, nwarps, nbytes_shared, nbatch_fa, true, true, false);
+                return;
+            }
+        }
+        if constexpr (ncols2 <= 8) {
+            if (Q->ne[1] > 4/ncols2) {
+                constexpr int cols_per_block = 8;
+                const int nwarps    = ggml_sycl_fattn_tile_get_nthreads (DKQ, DV, cols_per_block, cc) / warp_size;
+                const int nbatch_fa = ggml_sycl_fattn_tile_get_nbatch_fa(DKQ, DV, cols_per_block, cc);
+                launch_fattn<DV, cols_per_block/ncols2, ncols2,
+                    flash_attn_tile<DKQ, DV, cols_per_block / ncols2, ncols2, use_logit_softcap, warp_size>, warp_size>
+                    (ctx, dst, nwarps, nbytes_shared, nbatch_fa, true, true, false);
+                return;
+            }
         }
     }
 

scripts/sync-ggml.last

@@ -1 +1 @@
-c044a8eeae2591faa0950c8b5e514cbc4bbfc4ca
+a04eea0761a85d18f3f504d6ab970c5c9dce705f

src/llama-adapter.cpp

@@ -294,7 +294,7 @@ static void llama_adapter_lora_init_impl(llama_model & model, const char * path_
     }
 
     // get extra buffer types of the CPU
-    // TODO: a more general solution for non-CPU extra buft should be imlpemented in the future
+    // TODO: a more general solution for non-CPU extra buft should be implemented in the future
     //       ref: https://github.com/ggml-org/llama.cpp/pull/12593#pullrequestreview-2718659948
     std::vector<ggml_backend_buffer_type_t> buft_extra;
     {

src/llama-batch.h

@@ -18,7 +18,7 @@ struct llama_ubatch {
     }
 
     // typical for M-RoPE cases:
-    //   0 - sequantial position of the tokens/embeddings in the sequence
+    //   0 - sequential position of the tokens/embeddings in the sequence
     //   1 - y position in the image
     //   2 - x position in the image
     //   3 - other

src/llama-context.cpp

@@ -586,7 +586,7 @@ void llama_context::sched_reserve() {
 
     // reserve again with pp graph to avoid ggml-alloc reallocations during inference
     {
-        // TODO: not sure if the following graph would be worster case for multi-stream KV caches:
+        // TODO: not sure if the following graph would be worst case for multi-stream KV caches:
         //
         // auto * gf = graph_reserve(n_tokens, 1, n_tokens, mctx.get());
         //

src/llama-graph.cpp

@@ -1665,7 +1665,7 @@ ggml_tensor * llm_graph_context::build_inp_attn_scale() const {
 
 ggml_tensor * llm_graph_context::build_inp_out_ids() const {
     // note: when all tokens are output, we could skip this optimization to spare the ggml_get_rows() calls,
-    //       but this would make the graph topology depend on the number of output tokens, which can interere with
+    //       but this would make the graph topology depend on the number of output tokens, which can interfere with
     //       features that require constant topology such as pipeline parallelism
     //       ref: https://github.com/ggml-org/llama.cpp/pull/14275#issuecomment-2987424471
     //if (n_outputs < n_tokens) {

src/llama-kv-cache.h

@@ -333,7 +333,7 @@ public:
     ggml_tensor * get_v(ggml_context * ctx, int32_t il) const;
 
     // store k_cur and v_cur in the cache based on the provided head location
-    // note: the heads in k_cur and v_cur should be layed out contiguously in memory
+    // note: the heads in k_cur and v_cur should be laid out contiguously in memory
     //   - k_cur  [n_embd_head_k, n_head_k, n_tokens]
     //   - k_idxs [n_tokens]
     //   - v_cur  [n_embd_head_v, n_head_v, n_tokens]

src/models/gemma-embedding.cpp

@@ -9,7 +9,7 @@ llm_build_gemma_embedding::llm_build_gemma_embedding(const llama_model & model,
 
     inpL = build_inp_embd(model.tok_embd);
 
-    // important: do not normalize weights for raw embeddings input (i.e. encoded image emdeddings)
+    // important: do not normalize weights for raw embeddings input (i.e. encoded image embeddings)
     inpL = ggml_scale(ctx0, inpL, ubatch.token ? sqrtf(n_embd) : 1.0f);
     cb(inpL, "inp_scaled", -1);
 

src/models/gemma3.cpp

@@ -9,7 +9,7 @@ llm_build_gemma3<iswa>::llm_build_gemma3(const llama_model & model, const llm_gr
 
     inpL = build_inp_embd(model.tok_embd);
 
-    // important: do not normalize weights for raw embeddings input (i.e. encoded image emdeddings)
+    // important: do not normalize weights for raw embeddings input (i.e. encoded image embeddings)
     inpL = ggml_scale(ctx0, inpL, ubatch.token ? sqrtf(n_embd) : 1.0f);
     cb(inpL, "inp_scaled", -1);
 

src/models/gemma3n-iswa.cpp

@@ -12,7 +12,7 @@ llm_build_gemma3n_iswa::llm_build_gemma3n_iswa(const llama_model & model, const
 
     inpL = build_inp_embd(model.tok_embd);
 
-    // important: do not normalize weights for raw embeddings input (i.e. encoded image emdeddings)
+    // important: do not normalize weights for raw embeddings input (i.e. encoded image embeddings)
     inpL = ggml_scale(ctx0, inpL, ubatch.token ? sqrtf(n_embd) : 1.0f);
     cb(inpL, "inp_scaled", -1);
 

tests/export-graph-ops.cpp

@@ -118,12 +118,12 @@ int main(int argc, char ** argv) {
     common_params params;
     params.out_file = "tests.txt";
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_EXPORT_GRAPH_OPS)) {
         return 1;
     }
 
-    common_init();
-
     // Load CPU-only
     ggml_backend_dev_t cpu_device = ggml_backend_dev_by_type(GGML_BACKEND_DEVICE_TYPE_CPU);
     params.devices = { cpu_device, nullptr };

tests/test-backend-ops.cpp

@@ -8424,6 +8424,7 @@ static std::vector<std::unique_ptr<test_case>> make_test_cases_eval() {
         test_cases.emplace_back(new test_argsort(GGML_TYPE_F32, {1023, 2, 1, 3}, order));
         test_cases.emplace_back(new test_argsort(GGML_TYPE_F32, {1024, 2, 1, 3}, order));
         test_cases.emplace_back(new test_argsort(GGML_TYPE_F32, {1025, 2, 1, 3}, order));
+        test_cases.emplace_back(new test_argsort(GGML_TYPE_F32, {1025, 256, 1, 1}, order)); // test ceildiv in CUDA's CUB's DeviceSegmentedSort
         test_cases.emplace_back(new test_argsort(GGML_TYPE_F32, {2047, 2, 1, 3}, order));
         test_cases.emplace_back(new test_argsort(GGML_TYPE_F32, {2048, 2, 1, 3}, order));
         test_cases.emplace_back(new test_argsort(GGML_TYPE_F32, {2049, 2, 1, 3}, order));

tests/test-chat.cpp

@@ -3077,6 +3077,27 @@ static void test_template_output_peg_parsers(bool detailed_debug) {
             .expect_reasoning("I need to output the invoice details in JSON")
             .expect_content(R"({"amount": 123.45, "date": "2025-12-03"})")
             .run();
+
+
+        // Unsolicited tool calls. There is no good way to handle these, so we return empty content.
+
+        // Builtin function - recipient in role
+        tst.test(
+               "<|channel|>analysis<|message|>I will execute python to say hello<|end|>"
+               "<|start|>assistant to=container.exec<|channel|>commentary<|message|>python3 -c 'print(\"hello\")'")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .expect_reasoning("I will execute python to say hello")
+            .expect_content("")
+            .run();
+
+        // Builtin function - recipient in channel
+        tst.test(
+               "<|channel|>analysis<|message|>I will execute python to say hello<|end|>"
+               "<|start|>assistant<|channel|>commentary to=python <|constrain|>code<|message|>print(\"hello\")")
+            .reasoning_format(COMMON_REASONING_FORMAT_AUTO)
+            .expect_reasoning("I will execute python to say hello")
+            .expect_content("")
+            .run();
     }
 
     {

tests/test-jinja.cpp

@@ -387,6 +387,24 @@ static void test_expressions(testing & t) {
         "Bob"
     );
 
+    test_template(t, "empty computed member defaults to undefined",
+        "{{ a[]|default('fallback') }}",
+        {{"a", {{"name", "Bob"}}}},
+        "fallback"
+    );
+
+    test_template(t, "empty computed member is undefined",
+        "{{ a[] is undefined }}",
+        {{"a", {{"name", "Bob"}}}},
+        "True"
+    );
+
+    test_template(t, "undefined computed member is undefined",
+        "{{ a[undefined] is undefined }}",
+        {{"a", {{"name", "Bob"}}}},
+        "True"
+    );
+
     test_template(t, "array access",
         "{{ items[1] }}",
         {{"items", json::array({"a", "b", "c"})}},

tests/test-state-restore-fragmented.cpp

@@ -22,12 +22,12 @@ int main(int argc, char ** argv) {
     params.n_parallel = 3;
     params.n_ctx = 256;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_COMMON)) {
         return 1;
     }
 
-    common_init();
-
     // init
     common_init_result_ptr llama_init = common_init_from_params(params);
 

tests/test-thread-safety.cpp

@@ -16,12 +16,12 @@
 int main(int argc, char ** argv) {
     common_params params;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_COMMON)) {
         return 1;
     }
 
-    common_init();
-
     llama_backend_init();
     llama_numa_init(params.numa);
 

tools/batched-bench/batched-bench.cpp

@@ -20,12 +20,12 @@ int main(int argc, char ** argv) {
 
     common_params params;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_BENCH, print_usage)) {
         return 1;
     }
 
-    common_init();
-
     int is_pp_shared   = params.is_pp_shared;
     int is_tg_separate = params.is_tg_separate;
 

tools/cli/cli.cpp

@@ -347,6 +347,8 @@ int main(int argc, char ** argv) {
 
     params.verbosity = LOG_LEVEL_ERROR; // by default, less verbose logs
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_CLI)) {
         return 1;
     }
@@ -357,8 +359,6 @@ int main(int argc, char ** argv) {
         console::error("please use llama-completion instead\n");
     }
 
-    common_init();
-
     // struct that contains llama context and inference
     cli_context ctx_cli(params);
 

tools/completion/completion.cpp

@@ -90,12 +90,12 @@ int main(int argc, char ** argv) {
     common_params params;
     g_params = &params;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_COMPLETION, print_usage)) {
         return 1;
     }
 
-    common_init();
-
     auto & sparams = params.sampling;
 
     // save choice to use color for later
@@ -146,19 +146,13 @@ int main(int argc, char ** argv) {
 
     ctx   = llama_init->context();
     model = llama_init->model();
+    smpl  = llama_init->sampler(0);
 
     if (ctx == NULL) {
         LOG_ERR("%s: error: unable to create context\n", __func__);
         return 1;
     }
 
-    if (model == NULL) {
-        LOG_ERR("%s: error: unable to load model\n", __func__);
-        return 1;
-    }
-
-    smpl = llama_init->sampler(0);
-
     llama_memory_t mem = llama_get_memory(ctx);
     const llama_vocab * vocab = llama_model_get_vocab(model);
 

tools/cvector-generator/cvector-generator.cpp

@@ -400,6 +400,8 @@ int main(int argc, char ** argv) {
 
     params.out_file = "control_vector.gguf";
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_CVECTOR_GENERATOR, print_usage)) {
         return 1;
     }

tools/export-lora/export-lora.cpp

@@ -418,6 +418,8 @@ int main(int argc, char ** argv) {
 
     params.out_file = "ggml-lora-merged-f16.gguf";
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_EXPORT_LORA, print_usage)) {
         return 1;
     }

tools/fit-params/fit-params.cpp

@@ -17,11 +17,12 @@ using namespace std::chrono_literals;
 int main(int argc, char ** argv) {
     common_params params;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_COMMON)) {
         return 1;
     }
 
-    common_init();
     llama_backend_init();
     llama_numa_init(params.numa);
     auto mparams = common_model_params_to_llama(params);

tools/imatrix/imatrix.cpp

@@ -1212,6 +1212,8 @@ int main(int argc, char ** argv) {
     params.n_ctx = 512;
     params.escape = false;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_IMATRIX, print_usage)) {
         return 1;
     }
@@ -1223,8 +1225,6 @@ int main(int argc, char ** argv) {
         return 0;
     }
 
-    common_init();
-
     const int32_t n_ctx = params.n_ctx;
 
     if (n_ctx <= 0) {

tools/mtmd/debug/mtmd-debug.cpp

@@ -54,11 +54,12 @@ int main(int argc, char ** argv) {
 
     common_params params;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_MTMD, show_additional_info)) {
         return 1;
     }
 
-    common_init();
     mtmd_helper_log_set(common_log_default_callback, nullptr);
 
     if (params.mmproj.path.empty()) {

tools/mtmd/mtmd-cli.cpp

@@ -281,11 +281,12 @@ int main(int argc, char ** argv) {
 
     common_params params;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_MTMD, show_additional_info)) {
         return 1;
     }
 
-    common_init();
     mtmd_helper_log_set(common_log_default_callback, nullptr);
 
     if (params.mmproj.path.empty()) {

tools/perplexity/perplexity.cpp

@@ -2012,12 +2012,12 @@ int main(int argc, char ** argv) {
     params.n_ctx = 512;
     params.escape = false;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_PERPLEXITY)) {
         return 1;
     }
 
-    common_init();
-
     const int32_t n_ctx = params.n_ctx;
 
     if (n_ctx <= 0) {

tools/results/results.cpp

@@ -58,6 +58,9 @@ static std::vector<float> get_logits(
 int main(int argc, char ** argv) {
     common_params params;
     params.escape = false;
+
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_RESULTS)) {
         return 1;
     }
@@ -65,7 +68,6 @@ int main(int argc, char ** argv) {
         LOG_ERR("%s: an output file must be specified", __func__);
         return 1;
     }
-    common_init();
     llama_backend_init();
     llama_numa_init(params.numa);
     common_init_result_ptr llama_init = common_init_from_params(params);

tools/server/server.cpp

@@ -75,6 +75,8 @@ int main(int argc, char ** argv) {
     // own arguments required by this example
     common_params params;
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_SERVER)) {
         return 1;
     }
@@ -100,8 +102,6 @@ int main(int argc, char ** argv) {
         params.model_alias.insert(params.model.name);
     }
 
-    common_init();
-
     // struct that contains llama context and inference
     server_context ctx_server;
 

tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessage.svelte

@@ -4,7 +4,7 @@
 	import { getChatActionsContext, setMessageEditContext } from '$lib/contexts';
 	import { chatStore, pendingEditMessageId } from '$lib/stores/chat.svelte';
 	import { conversationsStore } from '$lib/stores/conversations.svelte';
-	import { DatabaseService } from '$lib/services';
+	import { DatabaseService } from '$lib/services/database.service';
 	import { SYSTEM_MESSAGE_PLACEHOLDER } from '$lib/constants';
 	import { MessageRole, AttachmentType } from '$lib/enums';
 	import {
@@ -19,6 +19,7 @@
 	interface Props {
 		class?: string;
 		message: DatabaseMessage;
+		toolMessages?: DatabaseMessage[];
 		isLastAssistantMessage?: boolean;
 		siblingInfo?: ChatMessageSiblingInfo | null;
 	}
@@ -26,6 +27,7 @@
 	let {
 		class: className = '',
 		message,
+		toolMessages = [],
 		isLastAssistantMessage = false,
 		siblingInfo = null
 	}: Props = $props();
@@ -302,6 +304,7 @@
 		{deletionInfo}
 		{isLastAssistantMessage}
 		{message}
+		{toolMessages}
 		messageContent={message.content}
 		onConfirmDelete={handleConfirmDelete}
 		onContinue={handleContinue}

tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageAgenticContent.svelte

@@ -6,42 +6,42 @@
 		SyntaxHighlightedCode
 	} from '$lib/components/app';
 	import { config } from '$lib/stores/settings.svelte';
-	import { Wrench, Loader2, AlertTriangle, Brain } from '@lucide/svelte';
-	import { AgenticSectionType, AttachmentType, FileTypeText } from '$lib/enums';
+	import { Wrench, Loader2, Brain } from '@lucide/svelte';
+	import { AgenticSectionType, FileTypeText } from '$lib/enums';
 	import { formatJsonPretty } from '$lib/utils';
-	import { ATTACHMENT_SAVED_REGEX, NEWLINE_SEPARATOR } from '$lib/constants';
-	import { parseAgenticContent, type AgenticSection } from '$lib/utils';
-	import type { DatabaseMessage, DatabaseMessageExtraImageFile } from '$lib/types/database';
+	import {
+		deriveAgenticSections,
+		parseToolResultWithImages,
+		type AgenticSection,
+		type ToolResultLine
+	} from '$lib/utils';
+	import type { DatabaseMessage } from '$lib/types/database';
 	import type { ChatMessageAgenticTimings, ChatMessageAgenticTurnStats } from '$lib/types/chat';
 	import { ChatMessageStatsView } from '$lib/enums';
 
 	interface Props {
-		message?: DatabaseMessage;
-		content: string;
+		message: DatabaseMessage;
+		toolMessages?: DatabaseMessage[];
 		isStreaming?: boolean;
 		highlightTurns?: boolean;
 	}
 
-	type ToolResultLine = {
-		text: string;
-		image?: DatabaseMessageExtraImageFile;
-	};
-
-	let { content, message, isStreaming = false, highlightTurns = false }: Props = $props();
+	let { message, toolMessages = [], isStreaming = false, highlightTurns = false }: Props = $props();
 
 	let expandedStates: Record<number, boolean> = $state({});
 
-	const sections = $derived(parseAgenticContent(content));
 	const showToolCallInProgress = $derived(config().showToolCallInProgress as boolean);
 	const showThoughtInProgress = $derived(config().showThoughtInProgress as boolean);
 
-	// Parse toolResults with images only when sections or message.extra change
+	const sections = $derived(deriveAgenticSections(message, toolMessages, []));
+
+	// Parse tool results with images
 	const sectionsParsed = $derived(
 		sections.map((section) => ({
 			...section,
 			parsedLines: section.toolResult
-				? parseToolResultWithImages(section.toolResult, message?.extra)
-				: []
+				? parseToolResultWithImages(section.toolResult, section.toolResultExtras || message?.extra)
+				: ([] as ToolResultLine[])
 		}))
 	);
 
@@ -107,26 +107,6 @@
 		expandedStates[index] = !currentState;
 	}
 
-	function parseToolResultWithImages(
-		toolResult: string,
-		extras?: DatabaseMessage['extra']
-	): ToolResultLine[] {
-		const lines = toolResult.split(NEWLINE_SEPARATOR);
-
-		return lines.map((line) => {
-			const match = line.match(ATTACHMENT_SAVED_REGEX);
-			if (!match || !extras) return { text: line };
-
-			const attachmentName = match[1];
-			const image = extras.find(
-				(e): e is DatabaseMessageExtraImageFile =>
-					e.type === AttachmentType.IMAGE && e.name === attachmentName
-			);
-
-			return { text: line, image };
-		});
-	}
-
 	function buildTurnAgenticTimings(stats: ChatMessageAgenticTurnStats): ChatMessageAgenticTimings {
 		return {
 			turns: 1,
@@ -144,9 +124,8 @@
 			<MarkdownContent content={section.content} attachments={message?.extra} />
 		</div>
 	{:else if section.type === AgenticSectionType.TOOL_CALL_STREAMING}
-		{@const streamingIcon = isStreaming ? Loader2 : AlertTriangle}
-		{@const streamingIconClass = isStreaming ? 'h-4 w-4 animate-spin' : 'h-4 w-4 text-yellow-500'}
-		{@const streamingSubtitle = isStreaming ? '' : 'incomplete'}
+		{@const streamingIcon = isStreaming ? Loader2 : Loader2}
+		{@const streamingIconClass = isStreaming ? 'h-4 w-4 animate-spin' : 'h-4 w-4'}
 
 		<CollapsibleContentBlock
 			open={isExpanded(index, section)}
@@ -154,7 +133,7 @@
 			icon={streamingIcon}
 			iconClass={streamingIconClass}
 			title={section.toolName || 'Tool call'}
-			subtitle={streamingSubtitle}
+			subtitle={isStreaming ? '' : 'incomplete'}
 			{isStreaming}
 			onToggle={() => toggleExpanded(index, section)}
 		>

tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessageAssistant.svelte

@@ -15,7 +15,7 @@
 	import { Check, X } from '@lucide/svelte';
 	import { Button } from '$lib/components/ui/button';
 	import { Checkbox } from '$lib/components/ui/checkbox';
-	import { AGENTIC_TAGS, INPUT_CLASSES, REASONING_TAGS } from '$lib/constants';
+	import { INPUT_CLASSES } from '$lib/constants';
 	import { MessageRole, KeyboardKey, ChatMessageStatsView } from '$lib/enums';
 	import Label from '$lib/components/ui/label/label.svelte';
 	import { config } from '$lib/stores/settings.svelte';
@@ -23,6 +23,8 @@
 	import { modelsStore } from '$lib/stores/models.svelte';
 	import { ServerModelStatus } from '$lib/enums';
 
+	import { hasAgenticContent } from '$lib/utils';
+
 	interface Props {
 		class?: string;
 		deletionInfo: {
@@ -33,6 +35,7 @@
 		} | null;
 		isLastAssistantMessage?: boolean;
 		message: DatabaseMessage;
+		toolMessages?: DatabaseMessage[];
 		messageContent: string | undefined;
 		onCopy: () => void;
 		onConfirmDelete: () => void;
@@ -53,6 +56,7 @@
 		deletionInfo,
 		isLastAssistantMessage = false,
 		message,
+		toolMessages = [],
 		messageContent,
 		onConfirmDelete,
 		onContinue,
@@ -84,10 +88,8 @@
 		}
 	}
 
-	const hasAgenticMarkers = $derived(
-		messageContent?.includes(AGENTIC_TAGS.TOOL_CALL_START) ?? false
-	);
-	const hasReasoningMarkers = $derived(messageContent?.includes(REASONING_TAGS.START) ?? false);
+	const isAgentic = $derived(hasAgenticContent(message, toolMessages));
+	const hasReasoning = $derived(!!message.reasoningContent);
 	const processingState = useProcessingState();
 
 	let currentConfig = $derived(config());
@@ -145,7 +147,7 @@
 	}
 
 	let highlightAgenticTurns = $derived(
-		hasAgenticMarkers &&
+		isAgentic &&
 			(currentConfig.alwaysShowAgenticTurns || activeStatsView === ChatMessageStatsView.SUMMARY)
 	);
 
@@ -160,13 +162,14 @@
 		message?.role === MessageRole.ASSISTANT &&
 			isActivelyProcessing &&
 			hasNoContent &&
+			!isAgentic &&
 			isLastAssistantMessage
 	);
 
 	let showProcessingInfoBottom = $derived(
 		message?.role === MessageRole.ASSISTANT &&
 			isActivelyProcessing &&
-			!hasNoContent &&
+			(!hasNoContent || isAgentic) &&
 			isLastAssistantMessage
 	);
 
@@ -252,10 +255,10 @@
 			<pre class="raw-output">{messageContent || ''}</pre>
 		{:else}
 			<ChatMessageAgenticContent
-				content={messageContent || ''}
+				{message}
+				{toolMessages}
 				isStreaming={isChatStreaming()}
 				highlightTurns={highlightAgenticTurns}
-				{message}
 			/>
 		{/if}
 	{:else}
@@ -344,9 +347,7 @@
 			{onCopy}
 			{onEdit}
 			{onRegenerate}
-			onContinue={currentConfig.enableContinueGeneration && !hasReasoningMarkers
-				? onContinue
-				: undefined}
+			onContinue={currentConfig.enableContinueGeneration && !hasReasoning ? onContinue : undefined}
 			{onForkConversation}
 			{onDelete}
 			{onConfirmDelete}

tools/server/webui/src/lib/components/app/chat/ChatMessages/ChatMessages.svelte

@@ -6,7 +6,12 @@
 	import { chatStore } from '$lib/stores/chat.svelte';
 	import { conversationsStore, activeConversation } from '$lib/stores/conversations.svelte';
 	import { config } from '$lib/stores/settings.svelte';
-	import { copyToClipboard, formatMessageForClipboard, getMessageSiblings } from '$lib/utils';
+	import {
+		copyToClipboard,
+		formatMessageForClipboard,
+		getMessageSiblings,
+		hasAgenticContent
+	} from '$lib/utils';
 
 	interface Props {
 		class?: string;
@@ -119,32 +124,75 @@
 			? messages
 			: messages.filter((msg) => msg.type !== MessageRole.SYSTEM);
 
-		let lastAssistantIndex = -1;
+		// Build display entries, grouping agentic sessions into single entries.
+		// An agentic session = assistant(with tool_calls) → tool → assistant → tool → ... → assistant(final)
+		const result: Array<{
+			message: DatabaseMessage;
+			toolMessages: DatabaseMessage[];
+			isLastAssistantMessage: boolean;
+			siblingInfo: ChatMessageSiblingInfo;
+		}> = [];
 
-		for (let i = filteredMessages.length - 1; i >= 0; i--) {
-			if (filteredMessages[i].role === MessageRole.ASSISTANT) {
-				lastAssistantIndex = i;
+		for (let i = 0; i < filteredMessages.length; i++) {
+			const msg = filteredMessages[i];
 
+			// Skip tool messages - they're grouped with preceding assistant
+			if (msg.role === MessageRole.TOOL) continue;
+
+			const toolMessages: DatabaseMessage[] = [];
+			if (msg.role === MessageRole.ASSISTANT && hasAgenticContent(msg)) {
+				let j = i + 1;
+
+				while (j < filteredMessages.length) {
+					const next = filteredMessages[j];
+
+					if (next.role === MessageRole.TOOL) {
+						toolMessages.push(next);
+
+						j++;
+					} else if (next.role === MessageRole.ASSISTANT) {
+						toolMessages.push(next);
+
+						j++;
+					} else {
+						break;
+					}
+				}
+
+				i = j - 1;
+			} else if (msg.role === MessageRole.ASSISTANT) {
+				let j = i + 1;
+
+				while (j < filteredMessages.length && filteredMessages[j].role === MessageRole.TOOL) {
+					toolMessages.push(filteredMessages[j]);
+					j++;
+				}
+			}
+
+			const siblingInfo = getMessageSiblings(allConversationMessages, msg.id);
+
+			result.push({
+				message: msg,
+				toolMessages,
+				isLastAssistantMessage: false,
+				siblingInfo: siblingInfo || {
+					message: msg,
+					siblingIds: [msg.id],
+					currentIndex: 0,
+					totalSiblings: 1
+				}
+			});
+		}
+
+		// Mark the last assistant message
+		for (let i = result.length - 1; i >= 0; i--) {
+			if (result[i].message.role === MessageRole.ASSISTANT) {
+				result[i].isLastAssistantMessage = true;
 				break;
 			}
 		}
 
-		return filteredMessages.map((message, index) => {
-			const siblingInfo = getMessageSiblings(allConversationMessages, message.id);
-			const isLastAssistantMessage =
-				message.role === MessageRole.ASSISTANT && index === lastAssistantIndex;
-
-			return {
-				message,
-				isLastAssistantMessage,
-				siblingInfo: siblingInfo || {
-					message,
-					siblingIds: [message.id],
-					currentIndex: 0,
-					totalSiblings: 1
-				}
-			};
-		});
+		return result;
 	});
 </script>
 
@@ -152,11 +200,12 @@
 	class="flex h-full flex-col space-y-10 pt-24 {className}"
 	style="height: auto; min-height: calc(100dvh - 14rem);"
 >
-	{#each displayMessages as { message, isLastAssistantMessage, siblingInfo } (message.id)}
+	{#each displayMessages as { message, toolMessages, isLastAssistantMessage, siblingInfo } (message.id)}
 		<div use:fadeInView>
 			<ChatMessage
 				class="mx-auto w-full max-w-[48rem]"
 				{message}
+				{toolMessages}
 				{isLastAssistantMessage}
 				{siblingInfo}
 			/>

tools/server/webui/src/lib/components/app/chat/index.ts

@@ -425,21 +425,16 @@ export { default as ChatMessage } from './ChatMessages/ChatMessage.svelte';
 /**
  * **ChatMessageAgenticContent** - Agentic workflow output display
  *
- * Specialized renderer for assistant messages containing agentic workflow markers.
- * Parses structured content and displays tool calls and reasoning blocks as
- * interactive collapsible sections with real-time streaming support.
+ * Specialized renderer for assistant messages with tool calls and reasoning.
+ * Derives display sections from structured message data (toolCalls, reasoningContent,
+ * and child tool result messages) and renders them as interactive collapsible sections.
  *
  * **Architecture:**
- * - Uses `parseAgenticContent()` from `$lib/utils` to parse markers
+ * - Uses `deriveAgenticSections()` from `$lib/utils` to build sections from structured data
  * - Renders sections as CollapsibleContentBlock components
  * - Handles streaming state for progressive content display
  * - Falls back to MarkdownContent for plain text sections
  *
- * **Marker Format:**
- * - Tool calls: in constants/agentic.ts (AGENTIC_TAGS)
- * - Reasoning: in constants/agentic.ts (REASONING_TAGS)
- * - Partial markers handled gracefully during streaming
- *
  * **Execution States:**
  * - **Streaming**: Animated spinner, block expanded, auto-scroll enabled
  * - **Pending**: Waiting indicator for queued tool calls

tools/server/webui/src/lib/constants/agentic.ts

@@ -15,8 +15,11 @@ export const DEFAULT_AGENTIC_CONFIG: AgenticConfig = {
 	maxToolPreviewLines: 25
 } as const;
 
-// Agentic tool call tag markers
-export const AGENTIC_TAGS = {
+/**
+ * @deprecated Legacy marker tags - only used for migration of old stored messages.
+ * New messages use structured fields (reasoningContent, toolCalls, toolCallId).
+ */
+export const LEGACY_AGENTIC_TAGS = {
 	TOOL_CALL_START: '<<<AGENTIC_TOOL_CALL_START>>>',
 	TOOL_CALL_END: '<<<AGENTIC_TOOL_CALL_END>>>',
 	TOOL_NAME_PREFIX: '<<<TOOL_NAME:',
@@ -25,39 +28,25 @@ export const AGENTIC_TAGS = {
 	TAG_SUFFIX: '>>>'
 } as const;
 
-export const REASONING_TAGS = {
+/**
+ * @deprecated Legacy reasoning tags - only used for migration of old stored messages.
+ * New messages use the dedicated reasoningContent field.
+ */
+export const LEGACY_REASONING_TAGS = {
 	START: '<<<reasoning_content_start>>>',
 	END: '<<<reasoning_content_end>>>'
 } as const;
 
-// Regex for trimming leading/trailing newlines
-export const TRIM_NEWLINES_REGEX = /^\n+|\n+$/g;
-
-// Regex patterns for parsing agentic content
-export const AGENTIC_REGEX = {
-	// Matches completed tool calls (with END marker)
+/**
+ * @deprecated Legacy regex patterns - only used for migration of old stored messages.
+ */
+export const LEGACY_AGENTIC_REGEX = {
 	COMPLETED_TOOL_CALL:
 		/<<<AGENTIC_TOOL_CALL_START>>>\n<<<TOOL_NAME:(.+?)>>>\n<<<TOOL_ARGS_START>>>([\s\S]*?)<<<TOOL_ARGS_END>>>([\s\S]*?)<<<AGENTIC_TOOL_CALL_END>>>/g,
-	// Matches pending tool call (has NAME and ARGS but no END)
-	PENDING_TOOL_CALL:
-		/<<<AGENTIC_TOOL_CALL_START>>>\n<<<TOOL_NAME:(.+?)>>>\n<<<TOOL_ARGS_START>>>([\s\S]*?)<<<TOOL_ARGS_END>>>([\s\S]*)$/,
-	// Matches partial tool call (has START and NAME, ARGS still streaming)
-	PARTIAL_WITH_NAME:
-		/<<<AGENTIC_TOOL_CALL_START>>>\n<<<TOOL_NAME:(.+?)>>>\n<<<TOOL_ARGS_START>>>([\s\S]*)$/,
-	// Matches early tool call (just START marker)
-	EARLY_MATCH: /<<<AGENTIC_TOOL_CALL_START>>>([\s\S]*)$/,
-	// Matches partial marker at end of content
-	PARTIAL_MARKER: /<<<[A-Za-z_]*$/,
-	// Matches reasoning content blocks (including tags)
 	REASONING_BLOCK: /<<<reasoning_content_start>>>[\s\S]*?<<<reasoning_content_end>>>/g,
-	// Captures the reasoning text between start/end tags
 	REASONING_EXTRACT: /<<<reasoning_content_start>>>([\s\S]*?)<<<reasoning_content_end>>>/,
-	// Matches an opening reasoning tag and any remaining content (unterminated)
 	REASONING_OPEN: /<<<reasoning_content_start>>>[\s\S]*$/,
-	// Matches a complete agentic tool call display block (start to end marker)
 	AGENTIC_TOOL_CALL_BLOCK: /\n*<<<AGENTIC_TOOL_CALL_START>>>[\s\S]*?<<<AGENTIC_TOOL_CALL_END>>>/g,
-	// Matches a pending/partial agentic tool call (start marker with no matching end)
 	AGENTIC_TOOL_CALL_OPEN: /\n*<<<AGENTIC_TOOL_CALL_START>>>[\s\S]*$/,
-	// Matches tool name inside content
-	TOOL_NAME_EXTRACT: /<<<TOOL_NAME:([^>]+)>>>/
+	HAS_LEGACY_MARKERS: /<<<(?:AGENTIC_TOOL_CALL_START|reasoning_content_start)>>>/
 } as const;

tools/server/webui/src/lib/services/chat.service.ts

@@ -1,6 +1,7 @@
-import { getJsonHeaders, formatAttachmentText, isAbortError } from '$lib/utils';
+import { getJsonHeaders } from '$lib/utils/api-headers';
+import { formatAttachmentText } from '$lib/utils/formatters';
+import { isAbortError } from '$lib/utils/abort';
 import {
-	AGENTIC_REGEX,
 	ATTACHMENT_LABEL_PDF_FILE,
 	ATTACHMENT_LABEL_MCP_PROMPT,
 	ATTACHMENT_LABEL_MCP_RESOURCE
@@ -17,38 +18,6 @@ import type { DatabaseMessageExtraMcpPrompt, DatabaseMessageExtraMcpResource } f
 import { modelsStore } from '$lib/stores/models.svelte';
 
 export class ChatService {
-	private static stripReasoningContent(
-		content: ApiChatMessageData['content'] | null | undefined
-	): ApiChatMessageData['content'] | null | undefined {
-		if (!content) {
-			return content;
-		}
-
-		if (typeof content === 'string') {
-			return content
-				.replace(AGENTIC_REGEX.REASONING_BLOCK, '')
-				.replace(AGENTIC_REGEX.REASONING_OPEN, '')
-				.replace(AGENTIC_REGEX.AGENTIC_TOOL_CALL_BLOCK, '')
-				.replace(AGENTIC_REGEX.AGENTIC_TOOL_CALL_OPEN, '');
-		}
-
-		if (!Array.isArray(content)) {
-			return content;
-		}
-
-		return content.map((part: ApiChatMessageContentPart) => {
-			if (part.type !== ContentPartType.TEXT || !part.text) return part;
-			return {
-				...part,
-				text: part.text
-					.replace(AGENTIC_REGEX.REASONING_BLOCK, '')
-					.replace(AGENTIC_REGEX.REASONING_OPEN, '')
-					.replace(AGENTIC_REGEX.AGENTIC_TOOL_CALL_BLOCK, '')
-					.replace(AGENTIC_REGEX.AGENTIC_TOOL_CALL_OPEN, '')
-			};
-		});
-	}
-
 	/**
 	 *
 	 *
@@ -57,46 +26,6 @@ export class ChatService {
 	 *
 	 */
 
-	/**
-	 * Extracts reasoning text from content that contains internal reasoning tags.
-	 * Returns the concatenated reasoning content or undefined if none found.
-	 */
-	private static extractReasoningFromContent(
-		content: ApiChatMessageData['content'] | null | undefined
-	): string | undefined {
-		if (!content) return undefined;
-
-		const extractFromString = (text: string): string => {
-			const parts: string[] = [];
-			// Use a fresh regex instance to avoid shared lastIndex state
-			const re = new RegExp(AGENTIC_REGEX.REASONING_EXTRACT.source);
-			let match = re.exec(text);
-			while (match) {
-				parts.push(match[1]);
-				// advance past the matched portion and retry
-				text = text.slice(match.index + match[0].length);
-				match = re.exec(text);
-			}
-			return parts.join('');
-		};
-
-		if (typeof content === 'string') {
-			const result = extractFromString(content);
-			return result || undefined;
-		}
-
-		if (!Array.isArray(content)) return undefined;
-
-		const parts: string[] = [];
-		for (const part of content) {
-			if (part.type === ContentPartType.TEXT && part.text) {
-				const result = extractFromString(part.text);
-				if (result) parts.push(result);
-			}
-		}
-		return parts.length > 0 ? parts.join('') : undefined;
-	}
-
 	/**
 	 * Sends a chat completion request to the llama.cpp server.
 	 * Supports both streaming and non-streaming responses with comprehensive parameter configuration.
@@ -201,20 +130,15 @@ export class ChatService {
 
 		const requestBody: ApiChatCompletionRequest = {
 			messages: normalizedMessages.map((msg: ApiChatMessageData) => {
-				// Always strip internal reasoning/agentic tags from content
-				const cleanedContent = ChatService.stripReasoningContent(msg.content);
 				const mapped: ApiChatCompletionRequest['messages'][0] = {
 					role: msg.role,
-					content: cleanedContent,
+					content: msg.content,
 					tool_calls: msg.tool_calls,
 					tool_call_id: msg.tool_call_id
 				};
-				// When preserving reasoning, extract it from raw content and send as separate field
-				if (!excludeReasoningFromContext) {
-					const reasoning = ChatService.extractReasoningFromContent(msg.content);
-					if (reasoning) {
-						mapped.reasoning_content = reasoning;
-					}
+				// Include reasoning_content from the dedicated field
+				if (!excludeReasoningFromContext && msg.reasoning_content) {
+					mapped.reasoning_content = msg.reasoning_content;
 				}
 				return mapped;
 			}),
@@ -726,6 +650,10 @@ export class ChatService {
 				content: message.content
 			};
 
+			if (message.reasoningContent) {
+				result.reasoning_content = message.reasoningContent;
+			}
+
 			if (toolCalls && toolCalls.length > 0) {
 				result.tool_calls = toolCalls;
 			}
@@ -854,6 +782,9 @@ export class ChatService {
 			role: message.role as MessageRole,
 			content: contentParts
 		};
+		if (message.reasoningContent) {
+			result.reasoning_content = message.reasoningContent;
+		}
 		if (toolCalls && toolCalls.length > 0) {
 			result.tool_calls = toolCalls;
 		}

tools/server/webui/src/lib/services/mcp.service.ts

@@ -42,6 +42,7 @@ import type {
 import {
 	buildProxiedUrl,
 	buildProxiedHeaders,
+	getAuthHeaders,
 	throwIfAborted,
 	isAbortError,
 	createBase64DataUrl
@@ -124,7 +125,14 @@ export class MCPService {
 		const requestInit: RequestInit = {};
 
 		if (config.headers) {
-			requestInit.headers = buildProxiedHeaders(config.headers);
+			requestInit.headers = config.useProxy ? buildProxiedHeaders(config.headers) : config.headers;
+		}
+
+		if (useProxy) {
+			requestInit.headers = {
+				...getAuthHeaders(),
+				...(requestInit.headers as Record<string, string>)
+			};
 		}
 
 		if (config.credentials) {

tools/server/webui/src/lib/stores/agentic.svelte.ts

@@ -7,6 +7,10 @@
  * - Session state management
  * - Turn limit enforcement
  *
+ * Each agentic turn produces separate DB messages:
+ * - One assistant message per LLM turn (with tool_calls if any)
+ * - One tool result message per tool call execution
+ *
  * **Architecture & Relationships:**
  * - **ChatService**: Stateless API layer (sendMessage, streaming)
  * - **mcpStore**: MCP connection management and tool execution
@@ -16,7 +20,6 @@
  * @see mcpStore in stores/mcp.svelte.ts for MCP operations
  */
 
-import { SvelteMap } from 'svelte/reactivity';
 import { ChatService } from '$lib/services';
 import { config } from '$lib/stores/settings.svelte';
 import { mcpStore } from '$lib/stores/mcp.svelte';
@@ -24,7 +27,6 @@ import { modelsStore } from '$lib/stores/models.svelte';
 import { isAbortError } from '$lib/utils';
 import {
 	DEFAULT_AGENTIC_CONFIG,
-	AGENTIC_TAGS,
 	NEWLINE_SEPARATOR,
 	TURN_LIMIT_MESSAGE,
 	LLM_ERROR_BLOCK_START,
@@ -193,17 +195,6 @@ class AgenticStore {
 
 	async runAgenticFlow(params: AgenticFlowParams): Promise<AgenticFlowResult> {
 		const { conversationId, messages, options = {}, callbacks, signal, perChatOverrides } = params;
-		const {
-			onChunk,
-			onReasoningChunk,
-			onToolCallChunk,
-			onAttachments,
-			onModel,
-			onComplete,
-			onError,
-			onTimings,
-			onTurnComplete
-		} = callbacks;
 
 		const agenticConfig = this.getConfig(config(), perChatOverrides);
 		if (!agenticConfig.enabled) return { handled: false };
@@ -253,24 +244,14 @@ class AgenticStore {
 				options,
 				tools,
 				agenticConfig,
-				callbacks: {
-					onChunk,
-					onReasoningChunk,
-					onToolCallChunk,
-					onAttachments,
-					onModel,
-					onComplete,
-					onError,
-					onTimings,
-					onTurnComplete
-				},
+				callbacks,
 				signal
 			});
 			return { handled: true };
 		} catch (error) {
 			const normalizedError = error instanceof Error ? error : new Error(String(error));
 			this.updateSession(conversationId, { lastError: normalizedError });
-			onError?.(normalizedError);
+			callbacks.onError?.(normalizedError);
 			return { handled: true, error: normalizedError };
 		} finally {
 			this.updateSession(conversationId, { isRunning: false });
@@ -295,17 +276,20 @@ class AgenticStore {
 		const {
 			onChunk,
 			onReasoningChunk,
-			onToolCallChunk,
+			onToolCallsStreaming,
 			onAttachments,
 			onModel,
-			onComplete,
+			onAssistantTurnComplete,
+			createToolResultMessage,
+			createAssistantMessage,
+			onFlowComplete,
 			onTimings,
 			onTurnComplete
 		} = callbacks;
 
 		const sessionMessages: AgenticMessage[] = toAgenticMessages(messages);
-		const allToolCalls: ApiChatCompletionToolCall[] = [];
 		let capturedTimings: ChatMessageTimings | undefined;
+		let totalToolCallCount = 0;
 
 		const agenticTimings: ChatMessageAgenticTimings = {
 			turns: 0,
@@ -316,12 +300,7 @@ class AgenticStore {
 			llm: { predicted_n: 0, predicted_ms: 0, prompt_n: 0, prompt_ms: 0 }
 		};
 		const maxTurns = agenticConfig.maxTurns;
-		const maxToolPreviewLines = agenticConfig.maxToolPreviewLines;
 
-		// Resolve effective model for vision capability checks.
-		// In ROUTER mode, options.model is always set by the caller.
-		// In MODEL mode, options.model is undefined; use the single loaded model
-		// which carries modalities bridged from /props.
 		const effectiveModel = options.model || modelsStore.models[0]?.model || '';
 
 		for (let turn = 0; turn < maxTurns; turn++) {
@@ -329,23 +308,20 @@ class AgenticStore {
 			agenticTimings.turns = turn + 1;
 
 			if (signal?.aborted) {
-				onComplete?.(
-					'',
-					undefined,
-					this.buildFinalTimings(capturedTimings, agenticTimings),
-					undefined
-				);
+				onFlowComplete?.(this.buildFinalTimings(capturedTimings, agenticTimings));
 				return;
 			}
 
+			// For turns > 0, create a new assistant message via callback
+			if (turn > 0 && createAssistantMessage) {
+				await createAssistantMessage();
+			}
+
 			let turnContent = '';
+			let turnReasoningContent = '';
 			let turnToolCalls: ApiChatCompletionToolCall[] = [];
 			let lastStreamingToolCallName = '';
 			let lastStreamingToolCallArgsLength = 0;
-			const emittedToolCallStates = new SvelteMap<
-				number,
-				{ emittedOnce: boolean; lastArgs: string }
-			>();
 			let turnTimings: ChatMessageTimings | undefined;
 
 			const turnStats: ChatMessageAgenticTurnStats = {
@@ -366,30 +342,15 @@ class AgenticStore {
 							turnContent += chunk;
 							onChunk?.(chunk);
 						},
-						onReasoningChunk,
+						onReasoningChunk: (chunk: string) => {
+							turnReasoningContent += chunk;
+							onReasoningChunk?.(chunk);
+						},
 						onToolCallChunk: (serialized: string) => {
 							try {
 								turnToolCalls = JSON.parse(serialized) as ApiChatCompletionToolCall[];
-								for (let i = 0; i < turnToolCalls.length; i++) {
-									const toolCall = turnToolCalls[i];
-									const toolName = toolCall.function?.name ?? '';
-									const toolArgs = toolCall.function?.arguments ?? '';
-									const state = emittedToolCallStates.get(i) || {
-										emittedOnce: false,
-										lastArgs: ''
-									};
-									if (!state.emittedOnce) {
-										const output = `\n\n${AGENTIC_TAGS.TOOL_CALL_START}\n${AGENTIC_TAGS.TOOL_NAME_PREFIX}${toolName}${AGENTIC_TAGS.TAG_SUFFIX}\n${AGENTIC_TAGS.TOOL_ARGS_START}\n${toolArgs}`;
-										onChunk?.(output);
-										state.emittedOnce = true;
-										state.lastArgs = toolArgs;
-										emittedToolCallStates.set(i, state);
-									} else if (toolArgs.length > state.lastArgs.length) {
-										onChunk?.(toolArgs.slice(state.lastArgs.length));
-										state.lastArgs = toolArgs;
-										emittedToolCallStates.set(i, state);
-									}
-								}
+								onToolCallsStreaming?.(turnToolCalls);
+
 								if (turnToolCalls.length > 0 && turnToolCalls[0]?.function) {
 									const name = turnToolCalls[0].function.name || '';
 									const args = turnToolCalls[0].function.arguments || '';
@@ -442,77 +403,84 @@ class AgenticStore {
 				}
 			} catch (error) {
 				if (signal?.aborted) {
-					onComplete?.(
-						'',
-						undefined,
+					// Save whatever we have for this turn before exiting
+					await onAssistantTurnComplete?.(
+						turnContent,
+						turnReasoningContent || undefined,
 						this.buildFinalTimings(capturedTimings, agenticTimings),
 						undefined
 					);
-
+					onFlowComplete?.(this.buildFinalTimings(capturedTimings, agenticTimings));
 					return;
 				}
 				const normalizedError = error instanceof Error ? error : new Error('LLM stream error');
+				// Save error as content in the current turn
 				onChunk?.(`${LLM_ERROR_BLOCK_START}${normalizedError.message}${LLM_ERROR_BLOCK_END}`);
-				onComplete?.(
-					'',
-					undefined,
+				await onAssistantTurnComplete?.(
+					turnContent + `${LLM_ERROR_BLOCK_START}${normalizedError.message}${LLM_ERROR_BLOCK_END}`,
+					turnReasoningContent || undefined,
 					this.buildFinalTimings(capturedTimings, agenticTimings),
 					undefined
 				);
-
+				onFlowComplete?.(this.buildFinalTimings(capturedTimings, agenticTimings));
 				throw normalizedError;
 			}
 
+			// No tool calls = final turn, save and complete
 			if (turnToolCalls.length === 0) {
 				agenticTimings.perTurn!.push(turnStats);
 
-				onComplete?.(
-					'',
-					undefined,
-					this.buildFinalTimings(capturedTimings, agenticTimings),
+				const finalTimings = this.buildFinalTimings(capturedTimings, agenticTimings);
+
+				await onAssistantTurnComplete?.(
+					turnContent,
+					turnReasoningContent || undefined,
+					finalTimings,
 					undefined
 				);
 
+				if (finalTimings) onTurnComplete?.(finalTimings);
+
+				onFlowComplete?.(finalTimings);
+
 				return;
 			}
 
+			// Normalize and save assistant turn with tool calls
 			const normalizedCalls = this.normalizeToolCalls(turnToolCalls);
 			if (normalizedCalls.length === 0) {
-				onComplete?.(
-					'',
-					undefined,
+				await onAssistantTurnComplete?.(
+					turnContent,
+					turnReasoningContent || undefined,
 					this.buildFinalTimings(capturedTimings, agenticTimings),
 					undefined
 				);
+				onFlowComplete?.(this.buildFinalTimings(capturedTimings, agenticTimings));
 				return;
 			}
 
-			for (const call of normalizedCalls) {
-				allToolCalls.push({
-					id: call.id,
-					type: call.type,
-					function: call.function ? { ...call.function } : undefined
-				});
-			}
+			totalToolCallCount += normalizedCalls.length;
+			this.updateSession(conversationId, { totalToolCalls: totalToolCallCount });
 
-			this.updateSession(conversationId, { totalToolCalls: allToolCalls.length });
-			onToolCallChunk?.(JSON.stringify(allToolCalls));
+			// Save the assistant message with its tool calls
+			await onAssistantTurnComplete?.(
+				turnContent,
+				turnReasoningContent || undefined,
+				turnTimings,
+				normalizedCalls
+			);
 
+			// Add assistant message to session history
 			sessionMessages.push({
 				role: MessageRole.ASSISTANT,
 				content: turnContent || undefined,
 				tool_calls: normalizedCalls
 			});
 
+			// Execute each tool call and create result messages
 			for (const toolCall of normalizedCalls) {
 				if (signal?.aborted) {
-					onComplete?.(
-						'',
-						undefined,
-						this.buildFinalTimings(capturedTimings, agenticTimings),
-						undefined
-					);
-
+					onFlowComplete?.(this.buildFinalTimings(capturedTimings, agenticTimings));
 					return;
 				}
 
@@ -530,13 +498,7 @@ class AgenticStore {
 					result = executionResult.content;
 				} catch (error) {
 					if (isAbortError(error)) {
-						onComplete?.(
-							'',
-							undefined,
-							this.buildFinalTimings(capturedTimings, agenticTimings),
-							undefined
-						);
-
+						onFlowComplete?.(this.buildFinalTimings(capturedTimings, agenticTimings));
 						return;
 					}
 					result = `Error: ${error instanceof Error ? error.message : String(error)}`;
@@ -557,21 +519,27 @@ class AgenticStore {
 				turnStats.toolsMs += Math.round(toolDurationMs);
 
 				if (signal?.aborted) {
-					onComplete?.(
-						'',
-						undefined,
-						this.buildFinalTimings(capturedTimings, agenticTimings),
-						undefined
-					);
-
+					onFlowComplete?.(this.buildFinalTimings(capturedTimings, agenticTimings));
 					return;
 				}
 
 				const { cleanedResult, attachments } = this.extractBase64Attachments(result);
-				if (attachments.length > 0) onAttachments?.(attachments);
 
-				this.emitToolCallResult(cleanedResult, maxToolPreviewLines, onChunk);
+				// Create the tool result message in the DB
+				let toolResultMessage: DatabaseMessage | undefined;
+				if (createToolResultMessage) {
+					toolResultMessage = await createToolResultMessage(
+						toolCall.id,
+						cleanedResult,
+						attachments.length > 0 ? attachments : undefined
+					);
+				}
 
+				if (attachments.length > 0 && toolResultMessage) {
+					onAttachments?.(toolResultMessage.id, attachments);
+				}
+
+				// Build content parts for session history (including images for vision models)
 				const contentParts: ApiChatMessageContentPart[] = [
 					{ type: ContentPartType.TEXT, text: cleanedResult }
 				];
@@ -605,8 +573,15 @@ class AgenticStore {
 			}
 		}
 
+		// Turn limit reached
 		onChunk?.(TURN_LIMIT_MESSAGE);
-		onComplete?.('', undefined, this.buildFinalTimings(capturedTimings, agenticTimings), undefined);
+		await onAssistantTurnComplete?.(
+			TURN_LIMIT_MESSAGE,
+			undefined,
+			this.buildFinalTimings(capturedTimings, agenticTimings),
+			undefined
+		);
+		onFlowComplete?.(this.buildFinalTimings(capturedTimings, agenticTimings));
 	}
 
 	private buildFinalTimings(
@@ -633,23 +608,6 @@ class AgenticStore {
 		}));
 	}
 
-	private emitToolCallResult(
-		result: string,
-		maxLines: number,
-		emit?: (chunk: string) => void
-	): void {
-		if (!emit) {
-			return;
-		}
-
-		let output = `${NEWLINE_SEPARATOR}${AGENTIC_TAGS.TOOL_ARGS_END}`;
-		const lines = result.split(NEWLINE_SEPARATOR);
-		const trimmedLines = lines.length > maxLines ? lines.slice(-maxLines) : lines;
-
-		output += `${NEWLINE_SEPARATOR}${trimmedLines.join(NEWLINE_SEPARATOR)}${NEWLINE_SEPARATOR}${AGENTIC_TAGS.TOOL_CALL_END}${NEWLINE_SEPARATOR}`;
-		emit(output);
-	}
-
 	private extractBase64Attachments(result: string): {
 		cleanedResult: string;
 		attachments: DatabaseMessageExtra[];

tools/server/webui/src/lib/stores/chat.svelte.ts

@@ -12,7 +12,8 @@
  */
 
 import { SvelteMap } from 'svelte/reactivity';
-import { DatabaseService, ChatService } from '$lib/services';
+import { DatabaseService } from '$lib/services/database.service';
+import { ChatService } from '$lib/services/chat.service';
 import { conversationsStore } from '$lib/stores/conversations.svelte';
 import { config } from '$lib/stores/settings.svelte';
 import { agenticStore } from '$lib/stores/agentic.svelte';
@@ -34,7 +35,6 @@ import {
 import {
 	MAX_INACTIVE_CONVERSATION_STATES,
 	INACTIVE_CONVERSATION_STATE_MAX_AGE_MS,
-	REASONING_TAGS,
 	SYSTEM_MESSAGE_PLACEHOLDER
 } from '$lib/constants';
 import type {
@@ -50,15 +50,6 @@ interface ConversationStateEntry {
 	lastAccessed: number;
 }
 
-const countOccurrences = (source: string, token: string): number =>
-	source ? source.split(token).length - 1 : 0;
-const hasUnclosedReasoningTag = (content: string): boolean =>
-	countOccurrences(content, REASONING_TAGS.START) > countOccurrences(content, REASONING_TAGS.END);
-const wrapReasoningContent = (content: string, reasoningContent?: string): string => {
-	if (!reasoningContent) return content;
-	return `${REASONING_TAGS.START}${reasoningContent}${REASONING_TAGS.END}${content}`;
-};
-
 class ChatStore {
 	activeProcessingState = $state<ApiProcessingState | null>(null);
 	currentResponse = $state('');
@@ -557,83 +548,76 @@ class ChatStore {
 				await modelsStore.fetchModelProps(effectiveModel);
 		}
 
-		let streamedContent = '',
-			streamedToolCallContent = '',
-			isReasoningOpen = false,
-			hasStreamedChunks = false,
-			resolvedModel: string | null = null,
-			modelPersisted = false;
-		let streamedExtras: DatabaseMessageExtra[] = assistantMessage.extra
-			? JSON.parse(JSON.stringify(assistantMessage.extra))
-			: [];
+		// Mutable state for the current message being streamed
+		let currentMessageId = assistantMessage.id;
+		let streamedContent = '';
+		let streamedReasoningContent = '';
+		let resolvedModel: string | null = null;
+		let modelPersisted = false;
+		const convId = assistantMessage.convId;
+
 		const recordModel = (modelName: string | null | undefined, persistImmediately = true): void => {
 			if (!modelName) return;
 			const n = normalizeModelName(modelName);
 			if (!n || n === resolvedModel) return;
 			resolvedModel = n;
-			const idx = conversationsStore.findMessageIndex(assistantMessage.id);
+			const idx = conversationsStore.findMessageIndex(currentMessageId);
 			conversationsStore.updateMessageAtIndex(idx, { model: n });
 			if (persistImmediately && !modelPersisted) {
 				modelPersisted = true;
-				DatabaseService.updateMessage(assistantMessage.id, { model: n }).catch(() => {
+				DatabaseService.updateMessage(currentMessageId, { model: n }).catch(() => {
 					modelPersisted = false;
 					resolvedModel = null;
 				});
 			}
 		};
-		const updateStreamingContent = () => {
-			this.setChatStreaming(assistantMessage.convId, streamedContent, assistantMessage.id);
-			const idx = conversationsStore.findMessageIndex(assistantMessage.id);
+
+		const updateStreamingUI = () => {
+			this.setChatStreaming(convId, streamedContent, currentMessageId);
+			const idx = conversationsStore.findMessageIndex(currentMessageId);
 			conversationsStore.updateMessageAtIndex(idx, { content: streamedContent });
 		};
-		const appendContentChunk = (chunk: string) => {
-			if (isReasoningOpen) {
-				streamedContent += REASONING_TAGS.END;
-				isReasoningOpen = false;
-			}
-			streamedContent += chunk;
-			hasStreamedChunks = true;
-			updateStreamingContent();
-		};
-		const appendReasoningChunk = (chunk: string) => {
-			if (!isReasoningOpen) {
-				streamedContent += REASONING_TAGS.START;
-				isReasoningOpen = true;
-			}
-			streamedContent += chunk;
-			hasStreamedChunks = true;
-			updateStreamingContent();
-		};
-		const finalizeReasoning = () => {
-			if (isReasoningOpen) {
-				streamedContent += REASONING_TAGS.END;
-				isReasoningOpen = false;
-			}
+
+		const cleanupStreamingState = () => {
+			this.setStreamingActive(false);
+			this.setChatLoading(convId, false);
+			this.clearChatStreaming(convId);
+			this.setProcessingState(convId, null);
 		};
+
 		this.setStreamingActive(true);
-		this.setActiveProcessingConversation(assistantMessage.convId);
-		const abortController = this.getOrCreateAbortController(assistantMessage.convId);
+		this.setActiveProcessingConversation(convId);
+		const abortController = this.getOrCreateAbortController(convId);
+
 		const streamCallbacks: ChatStreamCallbacks = {
-			onChunk: (chunk: string) => appendContentChunk(chunk),
-			onReasoningChunk: (chunk: string) => appendReasoningChunk(chunk),
-			onToolCallChunk: (chunk: string) => {
-				const c = chunk.trim();
-				if (!c) return;
-				streamedToolCallContent = c;
-				const idx = conversationsStore.findMessageIndex(assistantMessage.id);
-				conversationsStore.updateMessageAtIndex(idx, { toolCalls: streamedToolCallContent });
+			onChunk: (chunk: string) => {
+				streamedContent += chunk;
+				updateStreamingUI();
 			},
-			onAttachments: (extras: DatabaseMessageExtra[]) => {
+			onReasoningChunk: (chunk: string) => {
+				streamedReasoningContent += chunk;
+				// Update UI to show reasoning is being received
+				const idx = conversationsStore.findMessageIndex(currentMessageId);
+				conversationsStore.updateMessageAtIndex(idx, {
+					reasoningContent: streamedReasoningContent
+				});
+			},
+			onToolCallsStreaming: (toolCalls) => {
+				const idx = conversationsStore.findMessageIndex(currentMessageId);
+				conversationsStore.updateMessageAtIndex(idx, { toolCalls: JSON.stringify(toolCalls) });
+			},
+			onAttachments: (messageId: string, extras: DatabaseMessageExtra[]) => {
 				if (!extras.length) return;
-				streamedExtras = [...streamedExtras, ...extras];
-				const idx = conversationsStore.findMessageIndex(assistantMessage.id);
-				conversationsStore.updateMessageAtIndex(idx, { extra: streamedExtras });
-				DatabaseService.updateMessage(assistantMessage.id, { extra: streamedExtras }).catch(
-					console.error
-				);
+				const idx = conversationsStore.findMessageIndex(messageId);
+				if (idx === -1) return;
+				const msg = conversationsStore.activeMessages[idx];
+				const updatedExtras = [...(msg.extra || []), ...extras];
+				conversationsStore.updateMessageAtIndex(idx, { extra: updatedExtras });
+				DatabaseService.updateMessage(messageId, { extra: updatedExtras }).catch(console.error);
 			},
 			onModel: (modelName: string) => recordModel(modelName),
 			onTurnComplete: (intermediateTimings: ChatMessageTimings) => {
+				// Update the first assistant message with cumulative agentic timings
 				const idx = conversationsStore.findMessageIndex(assistantMessage.id);
 				conversationsStore.updateMessageAtIndex(idx, { timings: intermediateTimings });
 			},
@@ -651,56 +635,104 @@ class ChatStore {
 						cache_n: timings?.cache_n || 0,
 						prompt_progress: promptProgress
 					},
-					assistantMessage.convId
+					convId
 				);
 			},
-			onComplete: async (
-				finalContent?: string,
-				reasoningContent?: string,
-				timings?: ChatMessageTimings,
-				toolCallContent?: string
+			onAssistantTurnComplete: async (
+				content: string,
+				reasoningContent: string | undefined,
+				timings: ChatMessageTimings | undefined,
+				toolCalls: import('$lib/types/api').ApiChatCompletionToolCall[] | undefined
 			) => {
-				this.setStreamingActive(false);
-				finalizeReasoning();
-				const combinedContent = hasStreamedChunks
-					? streamedContent
-					: wrapReasoningContent(finalContent || '', reasoningContent);
 				const updateData: Record<string, unknown> = {
-					content: combinedContent,
-					toolCalls: toolCallContent || streamedToolCallContent,
+					content,
+					reasoningContent: reasoningContent || undefined,
+					toolCalls: toolCalls ? JSON.stringify(toolCalls) : '',
 					timings
 				};
-				if (streamedExtras.length > 0) updateData.extra = streamedExtras;
 				if (resolvedModel && !modelPersisted) updateData.model = resolvedModel;
-				await DatabaseService.updateMessage(assistantMessage.id, updateData);
-				const idx = conversationsStore.findMessageIndex(assistantMessage.id);
+				await DatabaseService.updateMessage(currentMessageId, updateData);
+				const idx = conversationsStore.findMessageIndex(currentMessageId);
 				const uiUpdate: Partial<DatabaseMessage> = {
-					content: combinedContent,
-					toolCalls: updateData.toolCalls as string
+					content,
+					reasoningContent: reasoningContent || undefined,
+					toolCalls: toolCalls ? JSON.stringify(toolCalls) : ''
 				};
-				if (streamedExtras.length > 0) uiUpdate.extra = streamedExtras;
 				if (timings) uiUpdate.timings = timings;
 				if (resolvedModel) uiUpdate.model = resolvedModel;
 				conversationsStore.updateMessageAtIndex(idx, uiUpdate);
-				await conversationsStore.updateCurrentNode(assistantMessage.id);
-				if (onComplete) await onComplete(combinedContent);
-				this.setChatLoading(assistantMessage.convId, false);
-				this.clearChatStreaming(assistantMessage.convId);
-				this.setProcessingState(assistantMessage.convId, null);
+				await conversationsStore.updateCurrentNode(currentMessageId);
+			},
+			createToolResultMessage: async (
+				toolCallId: string,
+				content: string,
+				extras?: DatabaseMessageExtra[]
+			) => {
+				const msg = await DatabaseService.createMessageBranch(
+					{
+						convId,
+						type: MessageType.TEXT,
+						role: MessageRole.TOOL,
+						content,
+						toolCallId,
+						timestamp: Date.now(),
+						toolCalls: '',
+						children: [],
+						extra: extras
+					},
+					currentMessageId
+				);
+				conversationsStore.addMessageToActive(msg);
+				await conversationsStore.updateCurrentNode(msg.id);
+				return msg;
+			},
+			createAssistantMessage: async () => {
+				// Reset streaming state for new message
+				streamedContent = '';
+				streamedReasoningContent = '';
+
+				const lastMsg =
+					conversationsStore.activeMessages[conversationsStore.activeMessages.length - 1];
+				const msg = await DatabaseService.createMessageBranch(
+					{
+						convId,
+						type: MessageType.TEXT,
+						role: MessageRole.ASSISTANT,
+						content: '',
+						timestamp: Date.now(),
+						toolCalls: '',
+						children: [],
+						model: resolvedModel
+					},
+					lastMsg.id
+				);
+				conversationsStore.addMessageToActive(msg);
+				currentMessageId = msg.id;
+				return msg;
+			},
+			onFlowComplete: (finalTimings?: ChatMessageTimings) => {
+				if (finalTimings) {
+					const idx = conversationsStore.findMessageIndex(assistantMessage.id);
+
+					conversationsStore.updateMessageAtIndex(idx, { timings: finalTimings });
+					DatabaseService.updateMessage(assistantMessage.id, { timings: finalTimings }).catch(
+						console.error
+					);
+				}
+
+				cleanupStreamingState();
+
+				if (onComplete) onComplete(streamedContent);
 				if (isRouterMode()) modelsStore.fetchRouterModels().catch(console.error);
 			},
 			onError: (error: Error) => {
 				this.setStreamingActive(false);
 				if (isAbortError(error)) {
-					this.setChatLoading(assistantMessage.convId, false);
-					this.clearChatStreaming(assistantMessage.convId);
-					this.setProcessingState(assistantMessage.convId, null);
+					cleanupStreamingState();
 					return;
 				}
 				console.error('Streaming error:', error);
-				this.setChatLoading(assistantMessage.convId, false);
-				this.clearChatStreaming(assistantMessage.convId);
-				this.setProcessingState(assistantMessage.convId, null);
+				cleanupStreamingState();
 				const idx = conversationsStore.findMessageIndex(assistantMessage.id);
 				if (idx !== -1) {
 					const failedMessage = conversationsStore.removeMessageAtIndex(idx);
@@ -717,12 +749,13 @@ class ChatStore {
 				if (onError) onError(error);
 			}
 		};
+
 		const perChatOverrides = conversationsStore.activeConversation?.mcpServerOverrides;
 
 		const agenticConfig = agenticStore.getConfig(config(), perChatOverrides);
 		if (agenticConfig.enabled) {
 			const agenticResult = await agenticStore.runAgenticFlow({
-				conversationId: assistantMessage.convId,
+				conversationId: convId,
 				messages: allMessages,
 				options: { ...this.getApiOptions(), ...(effectiveModel ? { model: effectiveModel } : {}) },
 				callbacks: streamCallbacks,
@@ -732,16 +765,50 @@ class ChatStore {
 			if (agenticResult.handled) return;
 		}
 
-		const completionOptions = {
-			...this.getApiOptions(),
-			...(effectiveModel ? { model: effectiveModel } : {}),
-			...streamCallbacks
-		};
-
+		// Non-agentic path: direct streaming into the single assistant message
 		await ChatService.sendMessage(
 			allMessages,
-			completionOptions,
-			assistantMessage.convId,
+			{
+				...this.getApiOptions(),
+				...(effectiveModel ? { model: effectiveModel } : {}),
+				stream: true,
+				onChunk: streamCallbacks.onChunk,
+				onReasoningChunk: streamCallbacks.onReasoningChunk,
+				onModel: streamCallbacks.onModel,
+				onTimings: streamCallbacks.onTimings,
+				onComplete: async (
+					finalContent?: string,
+					reasoningContent?: string,
+					timings?: ChatMessageTimings,
+					toolCalls?: string
+				) => {
+					const content = streamedContent || finalContent || '';
+					const reasoning = streamedReasoningContent || reasoningContent;
+					const updateData: Record<string, unknown> = {
+						content,
+						reasoningContent: reasoning || undefined,
+						toolCalls: toolCalls || '',
+						timings
+					};
+					if (resolvedModel && !modelPersisted) updateData.model = resolvedModel;
+					await DatabaseService.updateMessage(currentMessageId, updateData);
+					const idx = conversationsStore.findMessageIndex(currentMessageId);
+					const uiUpdate: Partial<DatabaseMessage> = {
+						content,
+						reasoningContent: reasoning || undefined,
+						toolCalls: toolCalls || ''
+					};
+					if (timings) uiUpdate.timings = timings;
+					if (resolvedModel) uiUpdate.model = resolvedModel;
+					conversationsStore.updateMessageAtIndex(idx, uiUpdate);
+					await conversationsStore.updateCurrentNode(currentMessageId);
+					cleanupStreamingState();
+					if (onComplete) await onComplete(content);
+					if (isRouterMode()) modelsStore.fetchRouterModels().catch(console.error);
+				},
+				onError: streamCallbacks.onError
+			},
+			convId,
 			abortController.signal
 		);
 	}
@@ -1033,56 +1100,40 @@ class ChatStore {
 			}
 
 			const originalContent = dbMessage.content;
+			const originalReasoning = dbMessage.reasoningContent || '';
 			const conversationContext = conversationsStore.activeMessages.slice(0, idx);
 			const contextWithContinue = [
 				...conversationContext,
 				{ role: MessageRole.ASSISTANT as const, content: originalContent }
 			];
 
-			let appendedContent = '',
-				hasReceivedContent = false,
-				isReasoningOpen = hasUnclosedReasoningTag(originalContent);
+			let appendedContent = '';
+			let appendedReasoning = '';
+			let hasReceivedContent = false;
 
 			const updateStreamingContent = (fullContent: string) => {
 				this.setChatStreaming(msg.convId, fullContent, msg.id);
 				conversationsStore.updateMessageAtIndex(idx, { content: fullContent });
 			};
 
-			const appendContentChunk = (chunk: string) => {
-				if (isReasoningOpen) {
-					appendedContent += REASONING_TAGS.END;
-					isReasoningOpen = false;
-				}
-				appendedContent += chunk;
-				hasReceivedContent = true;
-				updateStreamingContent(originalContent + appendedContent);
-			};
-
-			const appendReasoningChunk = (chunk: string) => {
-				if (!isReasoningOpen) {
-					appendedContent += REASONING_TAGS.START;
-					isReasoningOpen = true;
-				}
-				appendedContent += chunk;
-				hasReceivedContent = true;
-				updateStreamingContent(originalContent + appendedContent);
-			};
-
-			const finalizeReasoning = () => {
-				if (isReasoningOpen) {
-					appendedContent += REASONING_TAGS.END;
-					isReasoningOpen = false;
-				}
-			};
-
 			const abortController = this.getOrCreateAbortController(msg.convId);
 
 			await ChatService.sendMessage(
 				contextWithContinue,
 				{
 					...this.getApiOptions(),
-					onChunk: (chunk: string) => appendContentChunk(chunk),
-					onReasoningChunk: (chunk: string) => appendReasoningChunk(chunk),
+					onChunk: (chunk: string) => {
+						appendedContent += chunk;
+						hasReceivedContent = true;
+						updateStreamingContent(originalContent + appendedContent);
+					},
+					onReasoningChunk: (chunk: string) => {
+						appendedReasoning += chunk;
+						hasReceivedContent = true;
+						conversationsStore.updateMessageAtIndex(idx, {
+							reasoningContent: originalReasoning + appendedReasoning
+						});
+					},
 					onTimings: (timings?: ChatMessageTimings, promptProgress?: ChatMessagePromptProgress) => {
 						const tokensPerSecond =
 							timings?.predicted_ms && timings?.predicted_n
@@ -1105,21 +1156,23 @@ class ChatStore {
 						reasoningContent?: string,
 						timings?: ChatMessageTimings
 					) => {
-						finalizeReasoning();
-
-						const appendedFromCompletion = hasReceivedContent
-							? appendedContent
-							: wrapReasoningContent(finalContent || '', reasoningContent);
-						const fullContent = originalContent + appendedFromCompletion;
+						const finalAppendedContent = hasReceivedContent ? appendedContent : finalContent || '';
+						const finalAppendedReasoning = hasReceivedContent
+							? appendedReasoning
+							: reasoningContent || '';
+						const fullContent = originalContent + finalAppendedContent;
+						const fullReasoning = originalReasoning + finalAppendedReasoning || undefined;
 
 						await DatabaseService.updateMessage(msg.id, {
 							content: fullContent,
+							reasoningContent: fullReasoning,
 							timestamp: Date.now(),
 							timings
 						});
 
 						conversationsStore.updateMessageAtIndex(idx, {
 							content: fullContent,
+							reasoningContent: fullReasoning,
 							timestamp: Date.now(),
 							timings
 						});
@@ -1135,11 +1188,13 @@ class ChatStore {
 							if (hasReceivedContent && appendedContent) {
 								await DatabaseService.updateMessage(msg.id, {
 									content: originalContent + appendedContent,
+									reasoningContent: originalReasoning + appendedReasoning || undefined,
 									timestamp: Date.now()
 								});
 
 								conversationsStore.updateMessageAtIndex(idx, {
 									content: originalContent + appendedContent,
+									reasoningContent: originalReasoning + appendedReasoning || undefined,
 									timestamp: Date.now()
 								});
 							}

tools/server/webui/src/lib/stores/conversations.svelte.ts

@@ -23,7 +23,7 @@ import { browser } from '$app/environment';
 import { toast } from 'svelte-sonner';
 import { DatabaseService } from '$lib/services/database.service';
 import { config } from '$lib/stores/settings.svelte';
-import { filterByLeafNodeId, findLeafNode } from '$lib/utils';
+import { filterByLeafNodeId, findLeafNode, runLegacyMigration } from '$lib/utils';
 import type { McpServerOverride } from '$lib/types/database';
 import { MessageRole } from '$lib/enums';
 import {
@@ -128,6 +128,10 @@ class ConversationsStore {
 		if (this.isInitialized) return;
 
 		try {
+			// @deprecated Legacy migration for old marker-based messages.
+			// Remove once all users have migrated to the structured format.
+			await runLegacyMigration();
+
 			await this.loadConversations();
 			this.isInitialized = true;
 		} catch (error) {

tools/server/webui/src/lib/types/agentic.d.ts

@@ -2,6 +2,7 @@ import type { MessageRole } from '$lib/enums';
 import { ToolCallType } from '$lib/enums';
 import type {
 	ApiChatCompletionRequest,
+	ApiChatCompletionToolCall,
 	ApiChatMessageContentPart,
 	ApiChatMessageData
 } from './api';
@@ -70,22 +71,48 @@ export interface AgenticSession {
 }
 
 /**
- * Callbacks for agentic flow execution
+ * Callbacks for agentic flow execution.
+ *
+ * The agentic loop creates separate DB messages for each turn:
+ * - assistant messages (one per LLM turn, with tool_calls if any)
+ * - tool result messages (one per tool call execution)
+ *
+ * The first assistant message is created by the caller before starting the flow.
+ * Subsequent messages are created via createToolResultMessage / createAssistantMessage.
  */
 export interface AgenticFlowCallbacks {
+	/** Content chunk for the current assistant message */
 	onChunk?: (chunk: string) => void;
+	/** Reasoning content chunk for the current assistant message */
 	onReasoningChunk?: (chunk: string) => void;
-	onToolCallChunk?: (serializedToolCalls: string) => void;
-	onAttachments?: (extras: DatabaseMessageExtra[]) => void;
+	/** Tool calls being streamed (partial, accumulating) for the current turn */
+	onToolCallsStreaming?: (toolCalls: ApiChatCompletionToolCall[]) => void;
+	/** Attachments extracted from tool results */
+	onAttachments?: (messageId: string, extras: DatabaseMessageExtra[]) => void;
+	/** Model name detected from response */
 	onModel?: (model: string) => void;
-	onComplete?: (
+	/** Current assistant turn's streaming is complete - save to DB */
+	onAssistantTurnComplete?: (
 		content: string,
-		reasoningContent?: string,
-		timings?: ChatMessageTimings,
-		toolCalls?: string
-	) => void;
+		reasoningContent: string | undefined,
+		timings: ChatMessageTimings | undefined,
+		toolCalls: ApiChatCompletionToolCall[] | undefined
+	) => Promise<void>;
+	/** Create a tool result message in the DB tree */
+	createToolResultMessage?: (
+		toolCallId: string,
+		content: string,
+		extras?: DatabaseMessageExtra[]
+	) => Promise<DatabaseMessage>;
+	/** Create a new assistant message for the next agentic turn */
+	createAssistantMessage?: () => Promise<DatabaseMessage>;
+	/** Entire agentic flow is complete */
+	onFlowComplete?: (timings?: ChatMessageTimings) => void;
+	/** Error during flow */
 	onError?: (error: Error) => void;
+	/** Timing updates during streaming */
 	onTimings?: (timings?: ChatMessageTimings, promptProgress?: ChatMessagePromptProgress) => void;
+	/** An agentic turn (LLM + tool execution) completed - intermediate timing update */
 	onTurnComplete?: (intermediateTimings: ChatMessageTimings) => void;
 }
 

tools/server/webui/src/lib/types/chat.d.ts

@@ -1,5 +1,6 @@
 import type { ErrorDialogType } from '$lib/enums';
-import type { DatabaseMessageExtra } from './database';
+import type { ApiChatCompletionToolCall } from './api';
+import type { DatabaseMessage, DatabaseMessageExtra } from './database';
 
 export interface ChatUploadedFile {
 	id: string;
@@ -99,21 +100,28 @@ export interface ChatMessageToolCallTiming {
 }
 
 /**
- * Callbacks for streaming chat responses
+ * Callbacks for streaming chat responses (used by both agentic and non-agentic paths)
  */
 export interface ChatStreamCallbacks {
 	onChunk?: (chunk: string) => void;
 	onReasoningChunk?: (chunk: string) => void;
-	onToolCallChunk?: (chunk: string) => void;
-	onAttachments?: (extras: DatabaseMessageExtra[]) => void;
+	onToolCallsStreaming?: (toolCalls: ApiChatCompletionToolCall[]) => void;
+	onAttachments?: (messageId: string, extras: DatabaseMessageExtra[]) => void;
 	onModel?: (model: string) => void;
 	onTimings?: (timings?: ChatMessageTimings, promptProgress?: ChatMessagePromptProgress) => void;
-	onComplete?: (
-		content?: string,
-		reasoningContent?: string,
-		timings?: ChatMessageTimings,
-		toolCallContent?: string
-	) => void;
+	onAssistantTurnComplete?: (
+		content: string,
+		reasoningContent: string | undefined,
+		timings: ChatMessageTimings | undefined,
+		toolCalls: ApiChatCompletionToolCall[] | undefined
+	) => Promise<void>;
+	createToolResultMessage?: (
+		toolCallId: string,
+		content: string,
+		extras?: DatabaseMessageExtra[]
+	) => Promise<DatabaseMessage>;
+	createAssistantMessage?: () => Promise<DatabaseMessage>;
+	onFlowComplete?: (timings?: ChatMessageTimings) => void;
 	onError?: (error: Error) => void;
 	onTurnComplete?: (intermediateTimings: ChatMessageTimings) => void;
 }

tools/server/webui/src/lib/types/database.d.ts

@@ -92,6 +92,8 @@ export interface DatabaseMessage {
 	 * @deprecated - left for backward compatibility
 	 */
 	thinking?: string;
+	/** Reasoning content produced by the model (separate from visible content) */
+	reasoningContent?: string;
 	/** Serialized JSON array of tool calls made by assistant messages */
 	toolCalls?: string;
 	/** Tool call ID for tool result messages (role: 'tool') */

tools/server/webui/src/lib/utils/agentic.ts

@@ -1,8 +1,15 @@
-import { AgenticSectionType } from '$lib/enums';
-import { AGENTIC_TAGS, AGENTIC_REGEX, REASONING_TAGS, TRIM_NEWLINES_REGEX } from '$lib/constants';
+import { AgenticSectionType, MessageRole } from '$lib/enums';
+import { ATTACHMENT_SAVED_REGEX, NEWLINE_SEPARATOR } from '$lib/constants';
+import type { ApiChatCompletionToolCall } from '$lib/types/api';
+import type {
+	DatabaseMessage,
+	DatabaseMessageExtra,
+	DatabaseMessageExtraImageFile
+} from '$lib/types/database';
+import { AttachmentType } from '$lib/enums';
 
 /**
- * Represents a parsed section of agentic content
+ * Represents a parsed section of agentic content for display
  */
 export interface AgenticSection {
 	type: AgenticSectionType;
@@ -10,63 +17,70 @@ export interface AgenticSection {
 	toolName?: string;
 	toolArgs?: string;
 	toolResult?: string;
+	toolResultExtras?: DatabaseMessageExtra[];
 }
 
 /**
- * Represents a segment of content that may contain reasoning blocks
+ * Represents a tool result line that may reference an image attachment
  */
-type ReasoningSegment = {
-	type:
-		| AgenticSectionType.TEXT
-		| AgenticSectionType.REASONING
-		| AgenticSectionType.REASONING_PENDING;
-	content: string;
+export type ToolResultLine = {
+	text: string;
+	image?: DatabaseMessageExtraImageFile;
 };
 
 /**
- * Parses agentic content into structured sections
+ * Derives display sections from a single assistant message and its direct tool results.
  *
- * Main parsing function that processes content containing:
- * - Tool calls (completed, pending, or streaming)
- * - Reasoning blocks (completed or streaming)
- * - Regular text content
- *
- * The parser handles chronological display of agentic flow output, maintaining
- * the order of operations and properly identifying different states of tool calls
- * and reasoning blocks during streaming.
- *
- * @param rawContent - The raw content string to parse
- * @returns Array of structured agentic sections ready for display
- *
- * @example
- * ```typescript
- * const content = "Some text <<<AGENTIC_TOOL_CALL>>>tool_name...";
- * const sections = parseAgenticContent(content);
- * // Returns: [{ type: 'text', content: 'Some text' }, { type: 'tool_call_streaming', ... }]
- * ```
+ * @param message - The assistant message
+ * @param toolMessages - Tool result messages for this assistant's tool_calls
+ * @param streamingToolCalls - Partial tool calls during streaming (not yet persisted)
  */
-export function parseAgenticContent(rawContent: string): AgenticSection[] {
-	if (!rawContent) return [];
-
-	const segments = splitReasoningSegments(rawContent);
+function deriveSingleTurnSections(
+	message: DatabaseMessage,
+	toolMessages: DatabaseMessage[] = [],
+	streamingToolCalls: ApiChatCompletionToolCall[] = []
+): AgenticSection[] {
 	const sections: AgenticSection[] = [];
 
-	for (const segment of segments) {
-		if (segment.type === AgenticSectionType.TEXT) {
-			sections.push(...parseToolCallContent(segment.content));
-			continue;
-		}
-
-		if (segment.type === AgenticSectionType.REASONING) {
-			if (segment.content.trim()) {
-				sections.push({ type: AgenticSectionType.REASONING, content: segment.content });
-			}
-			continue;
-		}
-
+	// 1. Reasoning content (from dedicated field)
+	if (message.reasoningContent) {
 		sections.push({
-			type: AgenticSectionType.REASONING_PENDING,
-			content: segment.content
+			type: AgenticSectionType.REASONING,
+			content: message.reasoningContent
+		});
+	}
+
+	// 2. Text content
+	if (message.content?.trim()) {
+		sections.push({
+			type: AgenticSectionType.TEXT,
+			content: message.content
+		});
+	}
+
+	// 3. Persisted tool calls (from message.toolCalls field)
+	const toolCalls = parseToolCalls(message.toolCalls);
+	for (const tc of toolCalls) {
+		const resultMsg = toolMessages.find((m) => m.toolCallId === tc.id);
+		sections.push({
+			type: resultMsg ? AgenticSectionType.TOOL_CALL : AgenticSectionType.TOOL_CALL_PENDING,
+			content: resultMsg?.content || '',
+			toolName: tc.function?.name,
+			toolArgs: tc.function?.arguments,
+			toolResult: resultMsg?.content,
+			toolResultExtras: resultMsg?.extra
+		});
+	}
+
+	// 4. Streaming tool calls (not yet persisted - currently being received)
+	for (const tc of streamingToolCalls) {
+		// Skip if already in persisted tool calls
+		if (tc.id && toolCalls.find((t) => t.id === tc.id)) continue;
+		sections.push({
+			type: AgenticSectionType.TOOL_CALL_STREAMING,
+			content: '',
+			toolName: tc.function?.name,
+			toolArgs: tc.function?.arguments
 		});
 	}
 
@@ -74,211 +88,123 @@ export function parseAgenticContent(rawContent: string): AgenticSection[] {
 }
 
 /**
- * Parses content containing tool call markers
+ * Derives display sections from structured message data.
  *
- * Identifies and extracts tool calls from content, handling:
- * - Completed tool calls with name, arguments, and results
- * - Pending tool calls (execution in progress)
- * - Streaming tool calls (arguments being received)
- * - Early-stage tool calls (just started)
+ * Handles both single-turn (one assistant + its tool results) and multi-turn
+ * agentic sessions (multiple assistant + tool messages grouped together).
  *
- * @param rawContent - The raw content string to parse
- * @returns Array of agentic sections representing tool calls and text
+ * When `toolMessages` contains continuation assistant messages (from multi-turn
+ * agentic flows), they are processed in order to produce sections across all turns.
+ *
+ * @param message - The first/anchor assistant message
+ * @param toolMessages - Tool result messages and continuation assistant messages
+ * @param streamingToolCalls - Partial tool calls during streaming (not yet persisted)
+ * @param isStreaming - Whether the message is currently being streamed
  */
-function parseToolCallContent(rawContent: string): AgenticSection[] {
-	if (!rawContent) return [];
+export function deriveAgenticSections(
+	message: DatabaseMessage,
+	toolMessages: DatabaseMessage[] = [],
+	streamingToolCalls: ApiChatCompletionToolCall[] = []
+): AgenticSection[] {
+	const hasAssistantContinuations = toolMessages.some((m) => m.role === MessageRole.ASSISTANT);
+
+	if (!hasAssistantContinuations) {
+		return deriveSingleTurnSections(message, toolMessages, streamingToolCalls);
+	}
 
 	const sections: AgenticSection[] = [];
 
-	const completedToolCallRegex = new RegExp(AGENTIC_REGEX.COMPLETED_TOOL_CALL.source, 'g');
+	const firstTurnToolMsgs = collectToolMessages(toolMessages, 0);
+	sections.push(...deriveSingleTurnSections(message, firstTurnToolMsgs));
 
-	let lastIndex = 0;
-	let match;
+	let i = firstTurnToolMsgs.length;
 
-	while ((match = completedToolCallRegex.exec(rawContent)) !== null) {
-		if (match.index > lastIndex) {
-			const textBefore = rawContent.slice(lastIndex, match.index).trim();
-			if (textBefore) {
-				sections.push({ type: AgenticSectionType.TEXT, content: textBefore });
-			}
+	while (i < toolMessages.length) {
+		const msg = toolMessages[i];
+
+		if (msg.role === MessageRole.ASSISTANT) {
+			const turnToolMsgs = collectToolMessages(toolMessages, i + 1);
+			const isLastTurn = i + 1 + turnToolMsgs.length >= toolMessages.length;
+
+			sections.push(
+				...deriveSingleTurnSections(msg, turnToolMsgs, isLastTurn ? streamingToolCalls : [])
+			);
+
+			i += 1 + turnToolMsgs.length;
+		} else {
+			i++;
 		}
-
-		const toolName = match[1];
-		const toolArgs = match[2];
-		const toolResult = match[3].replace(TRIM_NEWLINES_REGEX, '');
-
-		sections.push({
-			type: AgenticSectionType.TOOL_CALL,
-			content: toolResult,
-			toolName,
-			toolArgs,
-			toolResult
-		});
-
-		lastIndex = match.index + match[0].length;
-	}
-
-	const remainingContent = rawContent.slice(lastIndex);
-
-	const pendingMatch = remainingContent.match(AGENTIC_REGEX.PENDING_TOOL_CALL);
-	const partialWithNameMatch = remainingContent.match(AGENTIC_REGEX.PARTIAL_WITH_NAME);
-	const earlyMatch = remainingContent.match(AGENTIC_REGEX.EARLY_MATCH);
-
-	if (pendingMatch) {
-		const pendingIndex = remainingContent.indexOf(AGENTIC_TAGS.TOOL_CALL_START);
-
-		if (pendingIndex > 0) {
-			const textBefore = remainingContent.slice(0, pendingIndex).trim();
-
-			if (textBefore) {
-				sections.push({ type: AgenticSectionType.TEXT, content: textBefore });
-			}
-		}
-
-		const toolName = pendingMatch[1];
-		const toolArgs = pendingMatch[2];
-		const streamingResult = (pendingMatch[3] || '').replace(TRIM_NEWLINES_REGEX, '');
-
-		sections.push({
-			type: AgenticSectionType.TOOL_CALL_PENDING,
-			content: streamingResult,
-			toolName,
-			toolArgs,
-			toolResult: streamingResult || undefined
-		});
-	} else if (partialWithNameMatch) {
-		const pendingIndex = remainingContent.indexOf(AGENTIC_TAGS.TOOL_CALL_START);
-
-		if (pendingIndex > 0) {
-			const textBefore = remainingContent.slice(0, pendingIndex).trim();
-			if (textBefore) {
-				sections.push({ type: AgenticSectionType.TEXT, content: textBefore });
-			}
-		}
-
-		const partialArgs = partialWithNameMatch[2] || '';
-
-		sections.push({
-			type: AgenticSectionType.TOOL_CALL_STREAMING,
-			content: '',
-			toolName: partialWithNameMatch[1],
-			toolArgs: partialArgs || undefined,
-			toolResult: undefined
-		});
-	} else if (earlyMatch) {
-		const pendingIndex = remainingContent.indexOf(AGENTIC_TAGS.TOOL_CALL_START);
-
-		if (pendingIndex > 0) {
-			const textBefore = remainingContent.slice(0, pendingIndex).trim();
-			if (textBefore) {
-				sections.push({ type: AgenticSectionType.TEXT, content: textBefore });
-			}
-		}
-
-		const nameMatch = earlyMatch[1]?.match(AGENTIC_REGEX.TOOL_NAME_EXTRACT);
-
-		sections.push({
-			type: AgenticSectionType.TOOL_CALL_STREAMING,
-			content: '',
-			toolName: nameMatch?.[1],
-			toolArgs: undefined,
-			toolResult: undefined
-		});
-	} else if (lastIndex < rawContent.length) {
-		let remainingText = rawContent.slice(lastIndex).trim();
-
-		const partialMarkerMatch = remainingText.match(AGENTIC_REGEX.PARTIAL_MARKER);
-
-		if (partialMarkerMatch) {
-			remainingText = remainingText.slice(0, partialMarkerMatch.index).trim();
-		}
-
-		if (remainingText) {
-			sections.push({ type: AgenticSectionType.TEXT, content: remainingText });
-		}
-	}
-
-	if (sections.length === 0 && rawContent.trim()) {
-		sections.push({ type: AgenticSectionType.TEXT, content: rawContent });
 	}
 
 	return sections;
 }
 
 /**
- * Strips partial marker from text content
- *
- * Removes incomplete agentic markers (e.g., "<<<", "<<<AGENTIC") that may appear
- * at the end of streaming content.
- *
- * @param text - The text content to process
- * @returns Text with partial markers removed
+ * Collect consecutive tool messages starting at `startIndex`.
  */
-function stripPartialMarker(text: string): string {
-	const partialMarkerMatch = text.match(AGENTIC_REGEX.PARTIAL_MARKER);
+function collectToolMessages(messages: DatabaseMessage[], startIndex: number): DatabaseMessage[] {
+	const result: DatabaseMessage[] = [];
 
-	if (partialMarkerMatch) {
-		return text.slice(0, partialMarkerMatch.index).trim();
+	for (let i = startIndex; i < messages.length; i++) {
+		if (messages[i].role === MessageRole.TOOL) {
+			result.push(messages[i]);
+		} else {
+			break;
+		}
 	}
 
-	return text;
+	return result;
 }
 
 /**
- * Splits raw content into segments based on reasoning blocks
- *
- * Identifies and extracts reasoning content wrapped in REASONING_TAGS.START/END markers,
- * separating it from regular text content. Handles both complete and incomplete
- * (streaming) reasoning blocks.
- *
- * @param rawContent - The raw content string to parse
- * @returns Array of reasoning segments with their types and content
+ * Parse tool result text into lines, matching image attachments by name.
  */
-function splitReasoningSegments(rawContent: string): ReasoningSegment[] {
-	if (!rawContent) return [];
+export function parseToolResultWithImages(
+	toolResult: string,
+	extras?: DatabaseMessageExtra[]
+): ToolResultLine[] {
+	const lines = toolResult.split(NEWLINE_SEPARATOR);
+	return lines.map((line) => {
+		const match = line.match(ATTACHMENT_SAVED_REGEX);
+		if (!match || !extras) return { text: line };
 
-	const segments: ReasoningSegment[] = [];
-	let cursor = 0;
+		const attachmentName = match[1];
+		const image = extras.find(
+			(e): e is DatabaseMessageExtraImageFile =>
+				e.type === AttachmentType.IMAGE && e.name === attachmentName
+		);
 
-	while (cursor < rawContent.length) {
-		const startIndex = rawContent.indexOf(REASONING_TAGS.START, cursor);
+		return { text: line, image };
+	});
+}
 
-		if (startIndex === -1) {
-			const remainingText = rawContent.slice(cursor);
+/**
+ * Safely parse the toolCalls JSON string from a DatabaseMessage.
+ */
+function parseToolCalls(toolCallsJson?: string): ApiChatCompletionToolCall[] {
+	if (!toolCallsJson) return [];
 
-			if (remainingText) {
-				segments.push({ type: AgenticSectionType.TEXT, content: remainingText });
-			}
+	try {
+		const parsed = JSON.parse(toolCallsJson);
 
-			break;
-		}
+		return Array.isArray(parsed) ? parsed : [];
+	} catch {
+		return [];
+	}
+}
 
-		if (startIndex > cursor) {
-			const textBefore = rawContent.slice(cursor, startIndex);
+/**
+ * Check if a message has agentic content (tool calls or is part of an agentic flow).
+ */
+export function hasAgenticContent(
+	message: DatabaseMessage,
+	toolMessages: DatabaseMessage[] = []
+): boolean {
+	if (message.toolCalls) {
+		const tc = parseToolCalls(message.toolCalls);
 
-			if (textBefore) {
-				segments.push({ type: AgenticSectionType.TEXT, content: textBefore });
-			}
-		}
-
-		const contentStart = startIndex + REASONING_TAGS.START.length;
-		const endIndex = rawContent.indexOf(REASONING_TAGS.END, contentStart);
-
-		if (endIndex === -1) {
-			const pendingContent = rawContent.slice(contentStart);
-
-			segments.push({
-				type: AgenticSectionType.REASONING_PENDING,
-				content: stripPartialMarker(pendingContent)
-			});
-
-			break;
-		}
-
-		const reasoningContent = rawContent.slice(contentStart, endIndex);
-		segments.push({ type: AgenticSectionType.REASONING, content: reasoningContent });
-		cursor = endIndex + REASONING_TAGS.END.length;
+		if (tc.length > 0) return true;
 	}
 
-	return segments;
+	return toolMessages.length > 0;
 }

tools/server/webui/src/lib/utils/index.ts

@@ -149,8 +149,17 @@ export { parseHeadersToArray, serializeHeaders } from './headers';
 // Favicon utilities
 export { getFaviconUrl } from './favicon';
 
-// Agentic content parsing utilities
-export { parseAgenticContent, type AgenticSection } from './agentic';
+// Agentic content utilities (structured section derivation)
+export {
+	deriveAgenticSections,
+	parseToolResultWithImages,
+	hasAgenticContent,
+	type AgenticSection,
+	type ToolResultLine
+} from './agentic';
+
+// Legacy migration utilities
+export { runLegacyMigration, isMigrationNeeded } from './legacy-migration';
 
 // Cache utilities
 export { TTLCache, ReactiveTTLMap, type TTLCacheOptions } from './cache-ttl';

tools/server/webui/src/lib/utils/legacy-migration.ts

@@ -0,0 +1,345 @@
+/**
+ * @deprecated Legacy migration utility — remove at some point in the future once all users have migrated to the new structured agentic message format.
+ *
+ * Converts old marker-based agentic messages to the new structured format
+ * with separate messages per turn.
+ *
+ * Old format: Single assistant message with markers in content:
+ *   <<<reasoning_content_start>>>...<<<reasoning_content_end>>>
+ *   <<<AGENTIC_TOOL_CALL_START>>>...<<<AGENTIC_TOOL_CALL_END>>>
+ *
+ * New format: Separate messages per turn:
+ *   - assistant (content + reasoningContent + toolCalls)
+ *   - tool (toolCallId + content)
+ *   - assistant (next turn)
+ *   - ...
+ */
+
+import { LEGACY_AGENTIC_REGEX, LEGACY_REASONING_TAGS } from '$lib/constants';
+import { DatabaseService } from '$lib/services/database.service';
+import { MessageRole, MessageType } from '$lib/enums';
+import type { DatabaseMessage } from '$lib/types/database';
+
+const MIGRATION_DONE_KEY = 'llama-webui-migration-v2-done';
+
+/**
+ * @deprecated Part of legacy migration — remove with the migration module.
+ * Check if migration has been performed.
+ */
+export function isMigrationNeeded(): boolean {
+	try {
+		return !localStorage.getItem(MIGRATION_DONE_KEY);
+	} catch {
+		return false;
+	}
+}
+
+/**
+ * Mark migration as done.
+ */
+function markMigrationDone(): void {
+	try {
+		localStorage.setItem(MIGRATION_DONE_KEY, String(Date.now()));
+	} catch {
+		// Ignore localStorage errors
+	}
+}
+
+/**
+ * Check if a message has legacy markers in its content.
+ */
+function hasLegacyMarkers(message: DatabaseMessage): boolean {
+	if (!message.content) return false;
+	return LEGACY_AGENTIC_REGEX.HAS_LEGACY_MARKERS.test(message.content);
+}
+
+/**
+ * Extract reasoning content from legacy marker format.
+ */
+function extractLegacyReasoning(content: string): { reasoning: string; cleanContent: string } {
+	let reasoning = '';
+	let cleanContent = content;
+
+	// Extract all reasoning blocks
+	const re = new RegExp(LEGACY_AGENTIC_REGEX.REASONING_EXTRACT.source, 'g');
+	let match;
+	while ((match = re.exec(content)) !== null) {
+		reasoning += match[1];
+	}
+
+	// Remove reasoning tags from content
+	cleanContent = cleanContent
+		.replace(new RegExp(LEGACY_AGENTIC_REGEX.REASONING_BLOCK.source, 'g'), '')
+		.replace(LEGACY_AGENTIC_REGEX.REASONING_OPEN, '');
+
+	return { reasoning, cleanContent };
+}
+
+/**
+ * Parse legacy content with tool call markers into structured turns.
+ */
+interface ParsedTurn {
+	textBefore: string;
+	toolCalls: Array<{
+		name: string;
+		args: string;
+		result: string;
+	}>;
+}
+
+function parseLegacyToolCalls(content: string): ParsedTurn[] {
+	const turns: ParsedTurn[] = [];
+	const regex = new RegExp(LEGACY_AGENTIC_REGEX.COMPLETED_TOOL_CALL.source, 'g');
+
+	let lastIndex = 0;
+	let currentTurn: ParsedTurn = { textBefore: '', toolCalls: [] };
+	let match;
+
+	while ((match = regex.exec(content)) !== null) {
+		const textBefore = content.slice(lastIndex, match.index).trim();
+
+		// If there's text between tool calls and we already have tool calls,
+		// that means a new turn started (text after tool results = new LLM turn)
+		if (textBefore && currentTurn.toolCalls.length > 0) {
+			turns.push(currentTurn);
+			currentTurn = { textBefore, toolCalls: [] };
+		} else if (textBefore && currentTurn.toolCalls.length === 0) {
+			currentTurn.textBefore = textBefore;
+		}
+
+		currentTurn.toolCalls.push({
+			name: match[1],
+			args: match[2],
+			result: match[3].replace(/^\n+|\n+$/g, '')
+		});
+
+		lastIndex = match.index + match[0].length;
+	}
+
+	// Any remaining text after the last tool call
+	const remainingText = content.slice(lastIndex).trim();
+
+	if (currentTurn.toolCalls.length > 0) {
+		turns.push(currentTurn);
+	}
+
+	// If there's text after all tool calls, it's the final assistant response
+	if (remainingText) {
+		// Remove any partial/open markers
+		const cleanRemaining = remainingText
+			.replace(LEGACY_AGENTIC_REGEX.AGENTIC_TOOL_CALL_OPEN, '')
+			.trim();
+		if (cleanRemaining) {
+			turns.push({ textBefore: cleanRemaining, toolCalls: [] });
+		}
+	}
+
+	// If no tool calls found at all, return the original content as a single turn
+	if (turns.length === 0) {
+		turns.push({ textBefore: content.trim(), toolCalls: [] });
+	}
+
+	return turns;
+}
+
+/**
+ * Migrate a single conversation's messages from legacy format to new format.
+ */
+async function migrateConversation(convId: string): Promise<number> {
+	const allMessages = await DatabaseService.getConversationMessages(convId);
+	let migratedCount = 0;
+
+	for (const message of allMessages) {
+		if (message.role !== MessageRole.ASSISTANT) continue;
+		if (!hasLegacyMarkers(message)) {
+			// Still check for reasoning-only markers (no tool calls)
+			if (message.content?.includes(LEGACY_REASONING_TAGS.START)) {
+				const { reasoning, cleanContent } = extractLegacyReasoning(message.content);
+				await DatabaseService.updateMessage(message.id, {
+					content: cleanContent.trim(),
+					reasoningContent: reasoning || undefined
+				});
+				migratedCount++;
+			}
+			continue;
+		}
+
+		// Has agentic markers - full migration needed
+		const { reasoning, cleanContent } = extractLegacyReasoning(message.content);
+		const turns = parseLegacyToolCalls(cleanContent);
+
+		// Parse existing toolCalls JSON to try to match IDs
+		let existingToolCalls: Array<{ id: string; function?: { name: string; arguments: string } }> =
+			[];
+		if (message.toolCalls) {
+			try {
+				existingToolCalls = JSON.parse(message.toolCalls);
+			} catch {
+				// Ignore
+			}
+		}
+
+		// First turn uses the existing message
+		const firstTurn = turns[0];
+		if (!firstTurn) continue;
+
+		// Match tool calls from the first turn to existing IDs
+		const firstTurnToolCalls = firstTurn.toolCalls.map((tc, i) => {
+			const existing =
+				existingToolCalls.find((e) => e.function?.name === tc.name) || existingToolCalls[i];
+			return {
+				id: existing?.id || `legacy_tool_${i}`,
+				type: 'function' as const,
+				function: { name: tc.name, arguments: tc.args }
+			};
+		});
+
+		// Update the existing message for the first turn
+		await DatabaseService.updateMessage(message.id, {
+			content: firstTurn.textBefore,
+			reasoningContent: reasoning || undefined,
+			toolCalls: firstTurnToolCalls.length > 0 ? JSON.stringify(firstTurnToolCalls) : ''
+		});
+
+		let currentParentId = message.id;
+		let toolCallIdCounter = existingToolCalls.length;
+
+		// Create tool result messages for the first turn
+		for (let i = 0; i < firstTurn.toolCalls.length; i++) {
+			const tc = firstTurn.toolCalls[i];
+			const toolCallId = firstTurnToolCalls[i]?.id || `legacy_tool_${i}`;
+
+			const toolMsg = await DatabaseService.createMessageBranch(
+				{
+					convId,
+					type: MessageType.TEXT,
+					role: MessageRole.TOOL,
+					content: tc.result,
+					toolCallId,
+					timestamp: message.timestamp + i + 1,
+					toolCalls: '',
+					children: []
+				},
+				currentParentId
+			);
+			currentParentId = toolMsg.id;
+		}
+
+		// Create messages for subsequent turns
+		for (let turnIdx = 1; turnIdx < turns.length; turnIdx++) {
+			const turn = turns[turnIdx];
+
+			const turnToolCalls = turn.toolCalls.map((tc, i) => {
+				const idx = toolCallIdCounter + i;
+				const existing = existingToolCalls[idx];
+				return {
+					id: existing?.id || `legacy_tool_${idx}`,
+					type: 'function' as const,
+					function: { name: tc.name, arguments: tc.args }
+				};
+			});
+			toolCallIdCounter += turn.toolCalls.length;
+
+			// Create assistant message for this turn
+			const assistantMsg = await DatabaseService.createMessageBranch(
+				{
+					convId,
+					type: MessageType.TEXT,
+					role: MessageRole.ASSISTANT,
+					content: turn.textBefore,
+					timestamp: message.timestamp + turnIdx * 100,
+					toolCalls: turnToolCalls.length > 0 ? JSON.stringify(turnToolCalls) : '',
+					children: [],
+					model: message.model
+				},
+				currentParentId
+			);
+			currentParentId = assistantMsg.id;
+
+			// Create tool result messages for this turn
+			for (let i = 0; i < turn.toolCalls.length; i++) {
+				const tc = turn.toolCalls[i];
+				const toolCallId = turnToolCalls[i]?.id || `legacy_tool_${toolCallIdCounter + i}`;
+
+				const toolMsg = await DatabaseService.createMessageBranch(
+					{
+						convId,
+						type: MessageType.TEXT,
+						role: MessageRole.TOOL,
+						content: tc.result,
+						toolCallId,
+						timestamp: message.timestamp + turnIdx * 100 + i + 1,
+						toolCalls: '',
+						children: []
+					},
+					currentParentId
+				);
+				currentParentId = toolMsg.id;
+			}
+		}
+
+		// Re-parent any children of the original message to the last created message
+		// (the original message's children list was the next user message or similar)
+		if (message.children.length > 0 && currentParentId !== message.id) {
+			for (const childId of message.children) {
+				// Skip children we just created (they were already properly parented)
+				const child = allMessages.find((m) => m.id === childId);
+				if (!child) continue;
+				// Only re-parent non-tool messages that were original children
+				if (child.role !== MessageRole.TOOL) {
+					await DatabaseService.updateMessage(childId, { parent: currentParentId });
+					// Add to new parent's children
+					const newParent = await DatabaseService.getConversationMessages(convId).then((msgs) =>
+						msgs.find((m) => m.id === currentParentId)
+					);
+					if (newParent && !newParent.children.includes(childId)) {
+						await DatabaseService.updateMessage(currentParentId, {
+							children: [...newParent.children, childId]
+						});
+					}
+				}
+			}
+			// Clear re-parented children from the original message
+			await DatabaseService.updateMessage(message.id, { children: [] });
+		}
+
+		migratedCount++;
+	}
+
+	return migratedCount;
+}
+
+/**
+ * @deprecated Part of legacy migration — remove with the migration module.
+ * Run the full migration across all conversations.
+ * This should be called once at app startup if migration is needed.
+ */
+export async function runLegacyMigration(): Promise<void> {
+	if (!isMigrationNeeded()) return;
+
+	console.log('[Migration] Starting legacy message format migration...');
+
+	try {
+		const conversations = await DatabaseService.getAllConversations();
+		let totalMigrated = 0;
+
+		for (const conv of conversations) {
+			const count = await migrateConversation(conv.id);
+			totalMigrated += count;
+		}
+
+		if (totalMigrated > 0) {
+			console.log(
+				`[Migration] Migrated ${totalMigrated} messages across ${conversations.length} conversations`
+			);
+		} else {
+			console.log('[Migration] No legacy messages found, marking as done');
+		}
+
+		markMigrationDone();
+	} catch (error) {
+		console.error('[Migration] Failed to migrate legacy messages:', error);
+		// Still mark as done to avoid infinite retry loops
+		markMigrationDone();
+	}
+}

tools/server/webui/tests/unit/agentic-sections.test.ts

@@ -0,0 +1,211 @@
+import { describe, it, expect } from 'vitest';
+import { deriveAgenticSections, hasAgenticContent } from '$lib/utils/agentic';
+import { AgenticSectionType, MessageRole } from '$lib/enums';
+import type { DatabaseMessage } from '$lib/types/database';
+import type { ApiChatCompletionToolCall } from '$lib/types/api';
+
+function makeAssistant(overrides: Partial<DatabaseMessage> = {}): DatabaseMessage {
+	return {
+		id: overrides.id ?? 'ast-1',
+		convId: 'conv-1',
+		type: 'text',
+		timestamp: Date.now(),
+		role: MessageRole.ASSISTANT,
+		content: overrides.content ?? '',
+		parent: null,
+		children: [],
+		...overrides
+	} as DatabaseMessage;
+}
+
+function makeToolMsg(overrides: Partial<DatabaseMessage> = {}): DatabaseMessage {
+	return {
+		id: overrides.id ?? 'tool-1',
+		convId: 'conv-1',
+		type: 'text',
+		timestamp: Date.now(),
+		role: MessageRole.TOOL,
+		content: overrides.content ?? 'tool result',
+		parent: null,
+		children: [],
+		toolCallId: overrides.toolCallId ?? 'call_1',
+		...overrides
+	} as DatabaseMessage;
+}
+
+describe('deriveAgenticSections', () => {
+	it('returns empty array for assistant with no content', () => {
+		const msg = makeAssistant({ content: '' });
+		const sections = deriveAgenticSections(msg);
+		expect(sections).toEqual([]);
+	});
+
+	it('returns text section for simple assistant message', () => {
+		const msg = makeAssistant({ content: 'Hello world' });
+		const sections = deriveAgenticSections(msg);
+		expect(sections).toHaveLength(1);
+		expect(sections[0].type).toBe(AgenticSectionType.TEXT);
+		expect(sections[0].content).toBe('Hello world');
+	});
+
+	it('returns reasoning + text for message with reasoning', () => {
+		const msg = makeAssistant({
+			content: 'Answer is 4.',
+			reasoningContent: 'Let me think...'
+		});
+		const sections = deriveAgenticSections(msg);
+		expect(sections).toHaveLength(2);
+		expect(sections[0].type).toBe(AgenticSectionType.REASONING);
+		expect(sections[0].content).toBe('Let me think...');
+		expect(sections[1].type).toBe(AgenticSectionType.TEXT);
+	});
+
+	it('single turn: assistant with tool calls and results', () => {
+		const msg = makeAssistant({
+			content: 'Let me check.',
+			toolCalls: JSON.stringify([
+				{ id: 'call_1', type: 'function', function: { name: 'search', arguments: '{"q":"test"}' } }
+			])
+		});
+		const toolResult = makeToolMsg({
+			toolCallId: 'call_1',
+			content: 'Found 3 results'
+		});
+		const sections = deriveAgenticSections(msg, [toolResult]);
+		expect(sections).toHaveLength(2);
+		expect(sections[0].type).toBe(AgenticSectionType.TEXT);
+		expect(sections[1].type).toBe(AgenticSectionType.TOOL_CALL);
+		expect(sections[1].toolName).toBe('search');
+		expect(sections[1].toolResult).toBe('Found 3 results');
+	});
+
+	it('single turn: pending tool call without result', () => {
+		const msg = makeAssistant({
+			toolCalls: JSON.stringify([
+				{ id: 'call_1', type: 'function', function: { name: 'bash', arguments: '{}' } }
+			])
+		});
+		const sections = deriveAgenticSections(msg, []);
+		expect(sections).toHaveLength(1);
+		expect(sections[0].type).toBe(AgenticSectionType.TOOL_CALL_PENDING);
+		expect(sections[0].toolName).toBe('bash');
+	});
+
+	it('multi-turn: two assistant turns grouped as one session', () => {
+		const assistant1 = makeAssistant({
+			id: 'ast-1',
+			content: 'Turn 1 text',
+			toolCalls: JSON.stringify([
+				{ id: 'call_1', type: 'function', function: { name: 'search', arguments: '{"q":"foo"}' } }
+			])
+		});
+		const tool1 = makeToolMsg({ id: 'tool-1', toolCallId: 'call_1', content: 'result 1' });
+		const assistant2 = makeAssistant({
+			id: 'ast-2',
+			content: 'Final answer based on results.'
+		});
+
+		// toolMessages contains both tool result and continuation assistant
+		const sections = deriveAgenticSections(assistant1, [tool1, assistant2]);
+		expect(sections).toHaveLength(3);
+		// Turn 1
+		expect(sections[0].type).toBe(AgenticSectionType.TEXT);
+		expect(sections[0].content).toBe('Turn 1 text');
+		expect(sections[1].type).toBe(AgenticSectionType.TOOL_CALL);
+		expect(sections[1].toolName).toBe('search');
+		expect(sections[1].toolResult).toBe('result 1');
+		// Turn 2 (final)
+		expect(sections[2].type).toBe(AgenticSectionType.TEXT);
+		expect(sections[2].content).toBe('Final answer based on results.');
+	});
+
+	it('multi-turn: three turns with tool calls', () => {
+		const assistant1 = makeAssistant({
+			id: 'ast-1',
+			content: '',
+			toolCalls: JSON.stringify([
+				{ id: 'call_1', type: 'function', function: { name: 'list_files', arguments: '{}' } }
+			])
+		});
+		const tool1 = makeToolMsg({ id: 'tool-1', toolCallId: 'call_1', content: 'file1 file2' });
+		const assistant2 = makeAssistant({
+			id: 'ast-2',
+			content: 'Reading file1...',
+			toolCalls: JSON.stringify([
+				{
+					id: 'call_2',
+					type: 'function',
+					function: { name: 'read_file', arguments: '{"path":"file1"}' }
+				}
+			])
+		});
+		const tool2 = makeToolMsg({ id: 'tool-2', toolCallId: 'call_2', content: 'contents of file1' });
+		const assistant3 = makeAssistant({
+			id: 'ast-3',
+			content: 'Here is the analysis.',
+			reasoningContent: 'The file contains...'
+		});
+
+		const sections = deriveAgenticSections(assistant1, [tool1, assistant2, tool2, assistant3]);
+		// Turn 1: tool_call (no text since content is empty)
+		// Turn 2: text + tool_call
+		// Turn 3: reasoning + text
+		expect(sections).toHaveLength(5);
+		expect(sections[0].type).toBe(AgenticSectionType.TOOL_CALL);
+		expect(sections[0].toolName).toBe('list_files');
+		expect(sections[1].type).toBe(AgenticSectionType.TEXT);
+		expect(sections[1].content).toBe('Reading file1...');
+		expect(sections[2].type).toBe(AgenticSectionType.TOOL_CALL);
+		expect(sections[2].toolName).toBe('read_file');
+		expect(sections[3].type).toBe(AgenticSectionType.REASONING);
+		expect(sections[4].type).toBe(AgenticSectionType.TEXT);
+		expect(sections[4].content).toBe('Here is the analysis.');
+	});
+
+	it('multi-turn: streaming tool calls on last turn', () => {
+		const assistant1 = makeAssistant({
+			toolCalls: JSON.stringify([
+				{ id: 'call_1', type: 'function', function: { name: 'search', arguments: '{}' } }
+			])
+		});
+		const tool1 = makeToolMsg({ toolCallId: 'call_1', content: 'result' });
+		const assistant2 = makeAssistant({ id: 'ast-2', content: '' });
+
+		const streamingToolCalls: ApiChatCompletionToolCall[] = [
+			{ id: 'call_2', type: 'function', function: { name: 'write_file', arguments: '{"pa' } }
+		];
+
+		const sections = deriveAgenticSections(assistant1, [tool1, assistant2], streamingToolCalls);
+		// Turn 1: tool_call
+		// Turn 2 (streaming): streaming tool call
+		expect(sections.some((s) => s.type === AgenticSectionType.TOOL_CALL)).toBe(true);
+		expect(sections.some((s) => s.type === AgenticSectionType.TOOL_CALL_STREAMING)).toBe(true);
+	});
+});
+
+describe('hasAgenticContent', () => {
+	it('returns false for plain assistant', () => {
+		const msg = makeAssistant({ content: 'Just text' });
+		expect(hasAgenticContent(msg)).toBe(false);
+	});
+
+	it('returns true when message has toolCalls', () => {
+		const msg = makeAssistant({
+			toolCalls: JSON.stringify([
+				{ id: 'call_1', type: 'function', function: { name: 'test', arguments: '{}' } }
+			])
+		});
+		expect(hasAgenticContent(msg)).toBe(true);
+	});
+
+	it('returns true when toolMessages are provided', () => {
+		const msg = makeAssistant();
+		const tool = makeToolMsg();
+		expect(hasAgenticContent(msg, [tool])).toBe(true);
+	});
+
+	it('returns false for empty toolCalls JSON', () => {
+		const msg = makeAssistant({ toolCalls: '[]' });
+		expect(hasAgenticContent(msg)).toBe(false);
+	});
+});

tools/server/webui/tests/unit/agentic-strip.test.ts

@@ -1,17 +1,22 @@
 import { describe, it, expect } from 'vitest';
-import { AGENTIC_REGEX } from '$lib/constants/agentic';
+import { LEGACY_AGENTIC_REGEX } from '$lib/constants/agentic';
 
-// Mirror the logic in ChatService.stripReasoningContent so we can test it in isolation.
-// The real function is private static, so we replicate the strip pipeline here.
-function stripContextMarkers(content: string): string {
+/**
+ * Tests for legacy marker stripping (used in migration).
+ * The new system does not embed markers in content - these tests verify
+ * the legacy regex patterns still work for the migration code.
+ */
+
+// Mirror the legacy stripping logic used during migration
+function stripLegacyContextMarkers(content: string): string {
 	return content
-		.replace(AGENTIC_REGEX.REASONING_BLOCK, '')
-		.replace(AGENTIC_REGEX.REASONING_OPEN, '')
-		.replace(AGENTIC_REGEX.AGENTIC_TOOL_CALL_BLOCK, '')
-		.replace(AGENTIC_REGEX.AGENTIC_TOOL_CALL_OPEN, '');
+		.replace(new RegExp(LEGACY_AGENTIC_REGEX.REASONING_BLOCK.source, 'g'), '')
+		.replace(LEGACY_AGENTIC_REGEX.REASONING_OPEN, '')
+		.replace(new RegExp(LEGACY_AGENTIC_REGEX.AGENTIC_TOOL_CALL_BLOCK.source, 'g'), '')
+		.replace(LEGACY_AGENTIC_REGEX.AGENTIC_TOOL_CALL_OPEN, '');
 }
 
-// A realistic complete tool call block as stored in message.content after a turn.
+// A realistic complete tool call block as stored in old message.content
 const COMPLETE_BLOCK =
 	'\n\n<<<AGENTIC_TOOL_CALL_START>>>\n' +
 	'<<<TOOL_NAME:bash_tool>>>\n' +
@@ -30,11 +35,10 @@ const OPEN_BLOCK =
 	'<<<TOOL_ARGS_END>>>\n' +
 	'partial output...';
 
-describe('agentic marker stripping for context', () => {
+describe('legacy agentic marker stripping (for migration)', () => {
 	it('strips a complete tool call block, leaving surrounding text', () => {
 		const input = 'Before.' + COMPLETE_BLOCK + 'After.';
-		const result = stripContextMarkers(input);
-		// markers gone; residual newlines between fragments are fine
+		const result = stripLegacyContextMarkers(input);
 		expect(result).not.toContain('<<<');
 		expect(result).toContain('Before.');
 		expect(result).toContain('After.');
@@ -42,7 +46,7 @@ describe('agentic marker stripping for context', () => {
 
 	it('strips multiple complete tool call blocks', () => {
 		const input = 'A' + COMPLETE_BLOCK + 'B' + COMPLETE_BLOCK + 'C';
-		const result = stripContextMarkers(input);
+		const result = stripLegacyContextMarkers(input);
 		expect(result).not.toContain('<<<');
 		expect(result).toContain('A');
 		expect(result).toContain('B');
@@ -51,19 +55,19 @@ describe('agentic marker stripping for context', () => {
 
 	it('strips an open/partial tool call block (no END marker)', () => {
 		const input = 'Lead text.' + OPEN_BLOCK;
-		const result = stripContextMarkers(input);
+		const result = stripLegacyContextMarkers(input);
 		expect(result).toBe('Lead text.');
 		expect(result).not.toContain('<<<');
 	});
 
 	it('does not alter content with no markers', () => {
 		const input = 'Just a normal assistant response.';
-		expect(stripContextMarkers(input)).toBe(input);
+		expect(stripLegacyContextMarkers(input)).toBe(input);
 	});
 
 	it('strips reasoning block independently', () => {
 		const input = '<<<reasoning_content_start>>>think hard<<<reasoning_content_end>>>Answer.';
-		expect(stripContextMarkers(input)).toBe('Answer.');
+		expect(stripLegacyContextMarkers(input)).toBe('Answer.');
 	});
 
 	it('strips both reasoning and agentic blocks together', () => {
@@ -71,11 +75,21 @@ describe('agentic marker stripping for context', () => {
 			'<<<reasoning_content_start>>>plan<<<reasoning_content_end>>>' +
 			'Some text.' +
 			COMPLETE_BLOCK;
-		expect(stripContextMarkers(input)).not.toContain('<<<');
-		expect(stripContextMarkers(input)).toContain('Some text.');
+		expect(stripLegacyContextMarkers(input)).not.toContain('<<<');
+		expect(stripLegacyContextMarkers(input)).toContain('Some text.');
 	});
 
 	it('empty string survives', () => {
-		expect(stripContextMarkers('')).toBe('');
+		expect(stripLegacyContextMarkers('')).toBe('');
+	});
+
+	it('detects legacy markers', () => {
+		expect(LEGACY_AGENTIC_REGEX.HAS_LEGACY_MARKERS.test('normal text')).toBe(false);
+		expect(
+			LEGACY_AGENTIC_REGEX.HAS_LEGACY_MARKERS.test('text<<<AGENTIC_TOOL_CALL_START>>>more')
+		).toBe(true);
+		expect(LEGACY_AGENTIC_REGEX.HAS_LEGACY_MARKERS.test('<<<reasoning_content_start>>>think')).toBe(
+			true
+		);
 	});
 });

tools/server/webui/tests/unit/reasoning-context.test.ts

@@ -1,196 +1,89 @@
 import { describe, it, expect } from 'vitest';
-import { AGENTIC_REGEX, REASONING_TAGS } from '$lib/constants/agentic';
-import { ContentPartType } from '$lib/enums';
+import { MessageRole } from '$lib/enums';
 
-// Replicate ChatService.extractReasoningFromContent (private static)
-function extractReasoningFromContent(
-	content: string | Array<{ type: string; text?: string }> | null | undefined
-): string | undefined {
-	if (!content) return undefined;
+/**
+ * Tests for the new reasoning content handling.
+ * In the new architecture, reasoning content is stored in a dedicated
+ * `reasoningContent` field on DatabaseMessage, not embedded in content with tags.
+ * The API sends it as `reasoning_content` on ApiChatMessageData.
+ */
 
-	const extractFromString = (text: string): string => {
-		const parts: string[] = [];
-		const re = new RegExp(AGENTIC_REGEX.REASONING_EXTRACT.source);
-		let match = re.exec(text);
-		while (match) {
-			parts.push(match[1]);
-			text = text.slice(match.index + match[0].length);
-			match = re.exec(text);
-		}
-		return parts.join('');
-	};
-
-	if (typeof content === 'string') {
-		const result = extractFromString(content);
-		return result || undefined;
-	}
-
-	if (!Array.isArray(content)) return undefined;
-
-	const parts: string[] = [];
-	for (const part of content) {
-		if (part.type === ContentPartType.TEXT && part.text) {
-			const result = extractFromString(part.text);
-			if (result) parts.push(result);
-		}
-	}
-	return parts.length > 0 ? parts.join('') : undefined;
-}
-
-// Replicate ChatService.stripReasoningContent (private static)
-function stripReasoningContent(
-	content: string | Array<{ type: string; text?: string }> | null | undefined
-): typeof content {
-	if (!content) return content;
-
-	if (typeof content === 'string') {
-		return content
-			.replace(AGENTIC_REGEX.REASONING_BLOCK, '')
-			.replace(AGENTIC_REGEX.REASONING_OPEN, '')
-			.replace(AGENTIC_REGEX.AGENTIC_TOOL_CALL_BLOCK, '')
-			.replace(AGENTIC_REGEX.AGENTIC_TOOL_CALL_OPEN, '');
-	}
-
-	if (!Array.isArray(content)) return content;
-
-	return content.map((part) => {
-		if (part.type !== ContentPartType.TEXT || !part.text) return part;
-		return {
-			...part,
-			text: part.text
-				.replace(AGENTIC_REGEX.REASONING_BLOCK, '')
-				.replace(AGENTIC_REGEX.REASONING_OPEN, '')
-				.replace(AGENTIC_REGEX.AGENTIC_TOOL_CALL_BLOCK, '')
-				.replace(AGENTIC_REGEX.AGENTIC_TOOL_CALL_OPEN, '')
+describe('reasoning content in new structured format', () => {
+	it('reasoning is stored as separate field, not in content', () => {
+		// Simulate what the new chat store does
+		const message = {
+			content: 'The answer is 4.',
+			reasoningContent: 'Let me think: 2+2=4, basic arithmetic.'
 		};
-	});
-}
 
-// Simulate the message mapping logic from ChatService.sendMessage
-function buildApiMessage(
-	content: string,
-	excludeReasoningFromContext: boolean
-): { role: string; content: string; reasoning_content?: string } {
-	const cleaned = stripReasoningContent(content) as string;
-	const mapped: { role: string; content: string; reasoning_content?: string } = {
-		role: 'assistant',
-		content: cleaned
-	};
-	if (!excludeReasoningFromContext) {
-		const reasoning = extractReasoningFromContent(content);
-		if (reasoning) {
-			mapped.reasoning_content = reasoning;
+		// Content should be clean
+		expect(message.content).not.toContain('<<<');
+		expect(message.content).toBe('The answer is 4.');
+
+		// Reasoning in dedicated field
+		expect(message.reasoningContent).toBe('Let me think: 2+2=4, basic arithmetic.');
+	});
+
+	it('convertDbMessageToApiChatMessageData includes reasoning_content', () => {
+		// Simulate the conversion logic
+		const dbMessage = {
+			role: MessageRole.ASSISTANT,
+			content: 'The answer is 4.',
+			reasoningContent: 'Let me think: 2+2=4, basic arithmetic.'
+		};
+
+		const apiMessage: Record<string, unknown> = {
+			role: dbMessage.role,
+			content: dbMessage.content
+		};
+		if (dbMessage.reasoningContent) {
+			apiMessage.reasoning_content = dbMessage.reasoningContent;
 		}
-	}
-	return mapped;
-}
 
-// Helper: wrap reasoning the same way the chat store does during streaming
-function wrapReasoning(reasoning: string, content: string): string {
-	return `${REASONING_TAGS.START}${reasoning}${REASONING_TAGS.END}${content}`;
-}
-
-describe('reasoning content extraction', () => {
-	it('extracts reasoning from tagged string content', () => {
-		const input = wrapReasoning('step 1, step 2', 'The answer is 42.');
-		const result = extractReasoningFromContent(input);
-		expect(result).toBe('step 1, step 2');
+		expect(apiMessage.content).toBe('The answer is 4.');
+		expect(apiMessage.reasoning_content).toBe('Let me think: 2+2=4, basic arithmetic.');
+		// No internal tags leak into either field
+		expect(apiMessage.content).not.toContain('<<<');
+		expect(apiMessage.reasoning_content).not.toContain('<<<');
 	});
 
-	it('returns undefined when no reasoning tags present', () => {
-		expect(extractReasoningFromContent('Just a normal response.')).toBeUndefined();
+	it('API message excludes reasoning when excludeReasoningFromContext is true', () => {
+		const dbMessage = {
+			role: MessageRole.ASSISTANT,
+			content: 'The answer is 4.',
+			reasoningContent: 'internal thinking'
+		};
+
+		const excludeReasoningFromContext = true;
+
+		const apiMessage: Record<string, unknown> = {
+			role: dbMessage.role,
+			content: dbMessage.content
+		};
+		if (!excludeReasoningFromContext && dbMessage.reasoningContent) {
+			apiMessage.reasoning_content = dbMessage.reasoningContent;
+		}
+
+		expect(apiMessage.content).toBe('The answer is 4.');
+		expect(apiMessage.reasoning_content).toBeUndefined();
 	});
 
-	it('returns undefined for null/empty input', () => {
-		expect(extractReasoningFromContent(null)).toBeUndefined();
-		expect(extractReasoningFromContent(undefined)).toBeUndefined();
-		expect(extractReasoningFromContent('')).toBeUndefined();
-	});
+	it('handles messages with no reasoning', () => {
+		const dbMessage = {
+			role: MessageRole.ASSISTANT,
+			content: 'No reasoning here.',
+			reasoningContent: undefined
+		};
 
-	it('extracts reasoning from content part arrays', () => {
-		const input = [
-			{
-				type: ContentPartType.TEXT,
-				text: wrapReasoning('thinking hard', 'result')
-			}
-		];
-		expect(extractReasoningFromContent(input)).toBe('thinking hard');
-	});
+		const apiMessage: Record<string, unknown> = {
+			role: dbMessage.role,
+			content: dbMessage.content
+		};
+		if (dbMessage.reasoningContent) {
+			apiMessage.reasoning_content = dbMessage.reasoningContent;
+		}
 
-	it('handles multiple reasoning blocks', () => {
-		const input =
-			REASONING_TAGS.START +
-			'block1' +
-			REASONING_TAGS.END +
-			'middle' +
-			REASONING_TAGS.START +
-			'block2' +
-			REASONING_TAGS.END +
-			'end';
-		expect(extractReasoningFromContent(input)).toBe('block1block2');
-	});
-
-	it('ignores non-text content parts', () => {
-		const input = [{ type: 'image_url', text: wrapReasoning('hidden', 'img') }];
-		expect(extractReasoningFromContent(input)).toBeUndefined();
-	});
-});
-
-describe('strip reasoning content', () => {
-	it('removes reasoning tags from string content', () => {
-		const input = wrapReasoning('internal thoughts', 'visible answer');
-		expect(stripReasoningContent(input)).toBe('visible answer');
-	});
-
-	it('removes reasoning from content part arrays', () => {
-		const input = [
-			{
-				type: ContentPartType.TEXT,
-				text: wrapReasoning('thoughts', 'answer')
-			}
-		];
-		const result = stripReasoningContent(input) as Array<{ type: string; text?: string }>;
-		expect(result[0].text).toBe('answer');
-	});
-});
-
-describe('API message building with reasoning preservation', () => {
-	const storedContent = wrapReasoning('Let me think: 2+2=4, basic arithmetic.', 'The answer is 4.');
-
-	it('preserves reasoning_content when excludeReasoningFromContext is false', () => {
-		const msg = buildApiMessage(storedContent, false);
-		expect(msg.content).toBe('The answer is 4.');
-		expect(msg.reasoning_content).toBe('Let me think: 2+2=4, basic arithmetic.');
-		// no internal tags leak into either field
-		expect(msg.content).not.toContain('<<<');
-		expect(msg.reasoning_content).not.toContain('<<<');
-	});
-
-	it('strips reasoning_content when excludeReasoningFromContext is true', () => {
-		const msg = buildApiMessage(storedContent, true);
-		expect(msg.content).toBe('The answer is 4.');
-		expect(msg.reasoning_content).toBeUndefined();
-	});
-
-	it('handles content with no reasoning in both modes', () => {
-		const plain = 'No reasoning here.';
-		const msgPreserve = buildApiMessage(plain, false);
-		const msgExclude = buildApiMessage(plain, true);
-		expect(msgPreserve.content).toBe(plain);
-		expect(msgPreserve.reasoning_content).toBeUndefined();
-		expect(msgExclude.content).toBe(plain);
-		expect(msgExclude.reasoning_content).toBeUndefined();
-	});
-
-	it('cleans agentic tool call blocks from content even when preserving reasoning', () => {
-		const input =
-			wrapReasoning('plan', 'text') +
-			'\n\n<<<AGENTIC_TOOL_CALL_START>>>\n' +
-			'<<<TOOL_NAME:bash>>>\n' +
-			'<<<TOOL_ARGS_START>>>\n{}\n<<<TOOL_ARGS_END>>>\nout\n' +
-			'<<<AGENTIC_TOOL_CALL_END>>>\n';
-		const msg = buildApiMessage(input, false);
-		expect(msg.content).not.toContain('<<<');
-		expect(msg.reasoning_content).toBe('plan');
+		expect(apiMessage.content).toBe('No reasoning here.');
+		expect(apiMessage.reasoning_content).toBeUndefined();
 	});
 });

tools/tts/tts.cpp

@@ -551,6 +551,8 @@ int main(int argc, char ** argv) {
     params.sampling.top_k = 4;
     params.sampling.samplers = { COMMON_SAMPLER_TYPE_TOP_K, };
 
+    common_init();
+
     if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_TTS, print_usage)) {
         return 1;
     }
@@ -558,8 +560,6 @@ int main(int argc, char ** argv) {
     const int n_parallel = params.n_parallel;
     const int n_predict  = params.n_predict;
 
-    common_init();
-
     // init LLM
 
     llama_backend_init();

vendor/cpp-httplib/CMakeLists.txt

@@ -39,7 +39,7 @@ if (LLAMA_BUILD_BORINGSSL)
     set(FIPS OFF CACHE BOOL "Enable FIPS (BoringSSL)")
 
     set(BORINGSSL_GIT "https://boringssl.googlesource.com/boringssl" CACHE STRING "BoringSSL git repository")
-    set(BORINGSSL_VERSION "0.20260211.0" CACHE STRING "BoringSSL version")
+    set(BORINGSSL_VERSION "0.20260327.0" CACHE STRING "BoringSSL version")
 
     message(STATUS "Fetching BoringSSL version ${BORINGSSL_VERSION}")