fix lint error

.gitattributes

@@ -15,12 +15,8 @@ ml/backend/**/*.cu linguist-vendored
 ml/backend/**/*.cuh linguist-vendored
 ml/backend/**/*.m linguist-vendored
 ml/backend/**/*.metal linguist-vendored
-ml/backend/**/*.comp linguist-vendored
-ml/backend/**/*.glsl linguist-vendored
 ml/backend/**/CMakeLists.txt linguist-vendored
 
-app/webview linguist-vendored
-
 llama/build-info.cpp linguist-generated
 ml/backend/ggml/ggml/src/ggml-metal/ggml-metal-embed.s linguist-generated
 

.github/ISSUE_TEMPLATE/10_bug_report.yml

@@ -13,7 +13,7 @@ body:
     id: logs
     attributes:
       label: Relevant log output
-      description: Please copy and paste any relevant log output. See [Troubleshooting Guide](https://github.com/ollama/ollama/blob/main/docs/troubleshooting.mdx#how-to-troubleshoot-issues) for details.
+      description: Please copy and paste any relevant log output. See [Troubleshooting Guide](https://github.com/ollama/ollama/blob/main/docs/troubleshooting.md#how-to-troubleshoot-issues) for details.
       render: shell
     validations:
       required: false

.github/workflows/release.yaml

@@ -16,15 +16,13 @@ jobs:
     outputs:
       GOFLAGS: ${{ steps.goflags.outputs.GOFLAGS }}
       VERSION: ${{ steps.goflags.outputs.VERSION }}
-      vendorsha: ${{ steps.changes.outputs.vendorsha }}
     steps:
       - uses: actions/checkout@v4
       - name: Set environment
         id: goflags
         run: |
-          echo GOFLAGS="'-ldflags=-w -s \"-X=github.com/ollama/ollama/version.Version=${GITHUB_REF_NAME#v}\" \"-X=github.com/ollama/ollama/server.mode=release\"'" | tee -a $GITHUB_OUTPUT
+          echo GOFLAGS="'-ldflags=-w -s \"-X=github.com/ollama/ollama/version.Version=${GITHUB_REF_NAME#v}\" \"-X=github.com/ollama/ollama/server.mode=release\"'" >>$GITHUB_OUTPUT
-          echo VERSION="${GITHUB_REF_NAME#v}" | tee -a $GITHUB_OUTPUT
+          echo VERSION="${GITHUB_REF_NAME#v}" >>$GITHUB_OUTPUT
-          echo vendorsha=$(make -f Makefile.sync print-base) | tee -a $GITHUB_OUTPUT
 
   darwin-build:
     runs-on: macos-14-xlarge
@@ -55,9 +53,6 @@ jobs:
       - uses: actions/setup-go@v5
         with:
           go-version-file: go.mod
-          cache-dependency-path: |
-            go.sum
-            Makefile.sync
       - run: |
           ./scripts/build_darwin.sh
       - name: Log build results
@@ -68,7 +63,6 @@ jobs:
           name: bundles-darwin
           path: |
             dist/*.tgz
-            dist/*.tar.zst
             dist/*.zip
             dist/*.dmg
 
@@ -110,13 +104,6 @@ jobs:
             install: https://download.amd.com/developer/eula/rocm-hub/AMD-Software-PRO-Edition-24.Q4-WinSvr2022-For-HIP.exe
             rocm-version: '6.2'
             flags: '-DCMAKE_C_COMPILER=clang -DCMAKE_CXX_COMPILER=clang++ -DCMAKE_C_FLAGS="-parallel-jobs=4 -Wno-ignored-attributes -Wno-deprecated-pragma" -DCMAKE_CXX_FLAGS="-parallel-jobs=4 -Wno-ignored-attributes -Wno-deprecated-pragma"'
-            runner_dir: 'rocm'
-          - os: windows
-            arch: amd64
-            preset: Vulkan
-            install: https://sdk.lunarg.com/sdk/download/1.4.321.1/windows/vulkansdk-windows-X64-1.4.321.1.exe
-            flags: ''
-            runner_dir: 'vulkan'
     runs-on: ${{ matrix.arch == 'arm64' && format('{0}-{1}', matrix.os, matrix.arch) || matrix.os }}
     environment: release
     env:
@@ -126,14 +113,13 @@ jobs:
         run: |
           choco install -y --no-progress ccache ninja
           ccache -o cache_dir=${{ github.workspace }}\.ccache
-      - if: startsWith(matrix.preset, 'CUDA ') || startsWith(matrix.preset, 'ROCm ') || startsWith(matrix.preset, 'Vulkan')
+      - if: startsWith(matrix.preset, 'CUDA ') || startsWith(matrix.preset, 'ROCm ')
         id: cache-install
         uses: actions/cache/restore@v4
         with:
           path: |
             C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA
             C:\Program Files\AMD\ROCm
-            C:\VulkanSDK
           key: ${{ matrix.install }}
       - if: startsWith(matrix.preset, 'CUDA ')
         name: Install CUDA ${{ matrix.cuda-version }}
@@ -163,18 +149,6 @@ jobs:
           echo "HIPCXX=$hipPath\bin\clang++.exe" | Out-File -FilePath $env:GITHUB_ENV -Append
           echo "HIP_PLATFORM=amd" | Out-File -FilePath $env:GITHUB_ENV -Append
           echo "CMAKE_PREFIX_PATH=$hipPath" | Out-File -FilePath $env:GITHUB_ENV -Append
-      - if: matrix.preset == 'Vulkan'
-        name: Install Vulkan ${{ matrix.rocm-version }}
-        run: |
-          $ErrorActionPreference = "Stop"
-          if ("${{ steps.cache-install.outputs.cache-hit }}" -ne 'true') {
-            Invoke-WebRequest -Uri "${{ matrix.install }}" -OutFile "install.exe"
-            Start-Process -FilePath .\install.exe -ArgumentList "-c","--am","--al","in" -NoNewWindow -Wait
-          }
-          
-          $vulkanPath = (Resolve-Path "C:\VulkanSDK\*").path
-          echo "$vulkanPath\bin" | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append
-          echo "VULKAN_SDK=$vulkanPath" >> $env:GITHUB_ENV
       - if: matrix.preset == 'CPU'
         run: |
           echo "CC=clang.exe" | Out-File -FilePath $env:GITHUB_ENV -Append
@@ -185,20 +159,19 @@ jobs:
           path: |
             C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA
             C:\Program Files\AMD\ROCm
-            C:\VulkanSDK
           key: ${{ matrix.install }}
       - uses: actions/checkout@v4
       - uses: actions/cache@v4
         with:
           path: ${{ github.workspace }}\.ccache
-          key: ccache-${{ matrix.os }}-${{ matrix.arch }}-${{ matrix.preset }}-${{ needs.setup-environment.outputs.vendorsha }}
+          key: ccache-${{ matrix.os }}-${{ matrix.arch }}-${{ matrix.preset }}
       - name: Build target "${{ matrix.preset }}"
         run: |
           Import-Module 'C:\Program Files\Microsoft Visual Studio\2022\Enterprise\Common7\Tools\Microsoft.VisualStudio.DevShell.dll'
           Enter-VsDevShell -VsInstallPath 'C:\Program Files\Microsoft Visual Studio\2022\Enterprise' -SkipAutomaticLocation  -DevCmdArguments '-arch=x64 -no_logo'
           cmake --preset "${{ matrix.preset }}" ${{ matrix.flags }} --install-prefix "$((pwd).Path)\dist\${{ matrix.os }}-${{ matrix.arch }}"
           cmake --build --parallel ([Environment]::ProcessorCount) --preset "${{ matrix.preset }}"
-          cmake --install build --component "${{ startsWith(matrix.preset, 'CUDA ') && 'CUDA' || startsWith(matrix.preset, 'ROCm ') && 'HIP' || startsWith(matrix.preset, 'Vulkan') && 'Vulkan' || 'CPU' }}" --strip
+          cmake --install build --component "${{ startsWith(matrix.preset, 'CUDA ') && 'CUDA' || startsWith(matrix.preset, 'ROCm ') && 'HIP' || 'CPU' }}" --strip
           Remove-Item -Path dist\lib\ollama\rocm\rocblas\library\*gfx906* -ErrorAction SilentlyContinue
         env:
           CMAKE_GENERATOR: Ninja
@@ -255,9 +228,6 @@ jobs:
       - uses: actions/setup-go@v5
         with:
           go-version-file: go.mod
-          cache-dependency-path: |
-            go.sum
-            Makefile.sync
       - name: Verify gcc is actually clang
         run: |
           $ErrorActionPreference='Continue'
@@ -311,9 +281,6 @@ jobs:
       - uses: actions/setup-go@v5
         with:
           go-version-file: go.mod
-          cache-dependency-path: |
-            go.sum
-            Makefile.sync
       - uses: actions/download-artifact@v4
         with:
           pattern: depends-windows*
@@ -345,13 +312,13 @@ jobs:
         include:
           - os: linux
             arch: amd64
-            target: archive
+            target: archive_novulkan
           - os: linux
             arch: amd64
             target: rocm
           - os: linux
             arch: arm64
-            target: archive
+            target: archive_novulkan
     runs-on: ${{ matrix.arch == 'arm64' && format('{0}-{1}', matrix.os, matrix.arch) || matrix.os }}
     environment: release
     needs: setup-environment
@@ -372,17 +339,12 @@ jobs:
           outputs: type=local,dest=dist/${{ matrix.os }}-${{ matrix.arch }}
           cache-from: type=registry,ref=${{ vars.DOCKER_REPO }}:latest
           cache-to: type=inline
-      - name: Deduplicate CUDA libraries
-        run: |
-          ./scripts/deduplicate_cuda_libs.sh dist/${{ matrix.os }}-${{ matrix.arch }}
       - run: |
           for COMPONENT in bin/* lib/ollama/*; do
             case "$COMPONENT" in
-              bin/ollama*)               echo $COMPONENT >>ollama-${{ matrix.os }}-${{ matrix.arch }}.tar.in ;;
+              bin/ollama)                echo $COMPONENT >>ollama-${{ matrix.os }}-${{ matrix.arch }}.tar.in ;;
               lib/ollama/*.so*)          echo $COMPONENT >>ollama-${{ matrix.os }}-${{ matrix.arch }}.tar.in ;;
               lib/ollama/cuda_v*)        echo $COMPONENT >>ollama-${{ matrix.os }}-${{ matrix.arch }}.tar.in ;;
-              lib/ollama/vulkan*)        echo $COMPONENT >>ollama-${{ matrix.os }}-${{ matrix.arch }}.tar.in ;;
-              lib/ollama/mlx*)           echo $COMPONENT >>ollama-${{ matrix.os }}-${{ matrix.arch }}.tar.in ;;
               lib/ollama/cuda_jetpack5)  echo $COMPONENT >>ollama-${{ matrix.os }}-${{ matrix.arch }}-jetpack5.tar.in ;;
               lib/ollama/cuda_jetpack6)  echo $COMPONENT >>ollama-${{ matrix.os }}-${{ matrix.arch }}-jetpack6.tar.in ;;
               lib/ollama/rocm)           echo $COMPONENT >>ollama-${{ matrix.os }}-${{ matrix.arch }}-rocm.tar.in ;;
@@ -397,13 +359,13 @@ jobs:
           done
       - run: |
           for ARCHIVE in dist/${{ matrix.os }}-${{ matrix.arch }}/*.tar.in; do
-            tar c -C dist/${{ matrix.os }}-${{ matrix.arch }} -T $ARCHIVE --owner 0 --group 0 | zstd --ultra -22 -T0 >$(basename ${ARCHIVE//.*/}.tar.zst);
+            tar c -C dist/${{ matrix.os }}-${{ matrix.arch }} -T $ARCHIVE --owner 0 --group 0 | pigz -9vc >$(basename ${ARCHIVE//.*/}.tgz);
           done
       - uses: actions/upload-artifact@v4
         with:
           name: bundles-${{ matrix.os }}-${{ matrix.arch }}-${{ matrix.target }}
           path: |
-            *.tar.zst
+            *.tgz
 
   # Build each Docker variant (OS, arch, and flavor) separately. Using QEMU is unreliable and slower.
   docker-build-push:
@@ -412,12 +374,14 @@ jobs:
         include:
           - os: linux
             arch: arm64
+            target: novulkan
             build-args: |
               CGO_CFLAGS
               CGO_CXXFLAGS
               GOFLAGS
           - os: linux
             arch: amd64
+            target: novulkan
             build-args: |
               CGO_CFLAGS
               CGO_CXXFLAGS
@@ -430,6 +394,14 @@ jobs:
               CGO_CXXFLAGS
               GOFLAGS
               FLAVOR=rocm
+          - os: linux
+            arch: amd64
+            suffix: '-vulkan'
+            target: default
+            build-args: |
+              CGO_CFLAGS
+              CGO_CXXFLAGS
+              GOFLAGS
     runs-on: ${{ matrix.arch == 'arm64' && format('{0}-{1}', matrix.os, matrix.arch) || matrix.os }}
     environment: release
     needs: setup-environment
@@ -447,6 +419,7 @@ jobs:
         with:
           context: .
           platforms: ${{ matrix.os }}/${{ matrix.arch }}
+          target: ${{ matrix.preset }}
           build-args: ${{ matrix.build-args }}
           outputs: type=image,name=${{ vars.DOCKER_REPO }},push-by-digest=true,name-canonical=true,push=true
           cache-from: type=registry,ref=${{ vars.DOCKER_REPO }}:latest
@@ -536,7 +509,7 @@ jobs:
       - name: Upload release artifacts
         run: |
           pids=()
-          for payload in dist/*.txt dist/*.zip dist/*.tgz dist/*.tar.zst dist/*.exe dist/*.dmg ; do
+          for payload in dist/*.txt dist/*.zip dist/*.tgz dist/*.exe dist/*.dmg ; do
             echo "Uploading $payload"
             gh release upload ${GITHUB_REF_NAME} $payload --clobber &
             pids[$!]=$!

.github/workflows/test.yaml

@@ -22,7 +22,6 @@ jobs:
     runs-on: ubuntu-latest
     outputs:
       changed: ${{ steps.changes.outputs.changed }}
-      vendorsha: ${{ steps.changes.outputs.vendorsha }}
     steps:
       - uses: actions/checkout@v4
         with:
@@ -38,7 +37,6 @@ jobs:
           }
 
           echo changed=$(changed 'llama/llama.cpp/**/*' 'ml/backend/ggml/ggml/**/*') | tee -a $GITHUB_OUTPUT
-          echo vendorsha=$(make -f Makefile.sync print-base) | tee -a $GITHUB_OUTPUT
 
   linux:
     needs: [changes]
@@ -85,7 +83,7 @@ jobs:
       - uses: actions/cache@v4
         with:
           path: /github/home/.cache/ccache
-          key: ccache-${{ runner.os }}-${{ runner.arch }}-${{ matrix.preset }}-${{ needs.changes.outputs.vendorsha }}
+          key: ccache-${{ runner.os }}-${{ runner.arch }}-${{ matrix.preset }}
       - run: |
           cmake --preset ${{ matrix.preset }} ${{ matrix.flags }}
           cmake --build --preset ${{ matrix.preset }} --parallel
@@ -174,13 +172,12 @@ jobs:
           path: |
             C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA
             C:\Program Files\AMD\ROCm
-            C:\VulkanSDK
           key: ${{ matrix.install }}
       - uses: actions/checkout@v4
       - uses: actions/cache@v4
         with:
           path: ${{ github.workspace }}\.ccache
-          key: ccache-${{ runner.os }}-${{ runner.arch }}-${{ matrix.preset }}-${{ needs.changes.outputs.vendorsha }}
+          key: ccache-${{ runner.os }}-${{ runner.arch }}-${{ matrix.preset }}
       - run: |
           Import-Module 'C:\Program Files\Microsoft Visual Studio\2022\Enterprise\Common7\Tools\Microsoft.VisualStudio.DevShell.dll'
           Enter-VsDevShell -VsInstallPath 'C:\Program Files\Microsoft Visual Studio\2022\Enterprise' -SkipAutomaticLocation  -DevCmdArguments '-arch=x64 -no_logo'
@@ -208,9 +205,6 @@ jobs:
       - uses: actions/setup-go@v5
         with:
           go-version-file: 'go.mod'
-          cache-dependency-path: |
-            go.sum
-            Makefile.sync
       - uses: actions/setup-node@v4
         with:
           node-version: '20'
@@ -231,9 +225,12 @@ jobs:
         if: always()
         run: go test -count=1 -benchtime=1x ./...
 
-      - uses: golangci/golangci-lint-action@v9
+      # TODO(bmizerany): replace this heavy tool with just the
+      # tools/checks/binaries we want and then make them all run in parallel
+      # across jobs, not on a single tiny vm on Github Actions.
+      - uses: golangci/golangci-lint-action@v6
         with:
-          only-new-issues: true
+          args: --timeout 10m0s -v
 
   patches:
     runs-on: ubuntu-latest

.golangci.yaml

@@ -1,4 +1,5 @@
-version: "2"
+run:
+  timeout: 5m
 linters:
   enable:
     - asasalint
@@ -6,46 +7,35 @@ linters:
     - bodyclose
     - containedctx
     - gocheckcompilerdirectives
+    - gofmt
+    - gofumpt
+    - gosimple
+    - govet
+    - ineffassign
     - intrange
     - makezero
     - misspell
     - nilerr
     - nolintlint
     - nosprintfhostport
+    - staticcheck
     - unconvert
     - usetesting
     - wastedassign
     - whitespace
   disable:
-    - errcheck
     - usestdlibvars
-  settings:
+    - errcheck
-    govet:
+linters-settings:
-      disable:
-        - unusedresult
   staticcheck:
     checks:
       - all
-        - -QF* # disable quick fix suggestions
+      - -SA1019 # omit Deprecated check
-        - -SA1019
-        - -ST1000 # package comment format
-        - -ST1003 # underscores in package names
-        - -ST1005 # error strings should not be capitalized
-        - -ST1012 # error var naming (ErrFoo)
-        - -ST1016 # receiver name consistency
-        - -ST1020 # comment on exported function format
-        - -ST1021 # comment on exported type format
-        - -ST1022 # comment on exported var format
-        - -ST1023 # omit type from declaration
 severity:
-  default: error
+  default-severity: error
   rules:
     - linters:
         - gofmt
         - goimports
         - intrange
       severity: info
-formatters:
-  enable:
-    - gofmt
-    - gofumpt

CMakeLists.txt

@@ -2,22 +2,6 @@ cmake_minimum_required(VERSION 3.21)
 
 project(Ollama C CXX)
 
-# Handle cross-compilation on macOS: when CMAKE_OSX_ARCHITECTURES is set to a
-# single architecture different from the host, override CMAKE_SYSTEM_PROCESSOR
-# to match. This is necessary because CMAKE_SYSTEM_PROCESSOR defaults to the
-# host architecture, but downstream projects (like MLX) use it to detect the
-# target architecture.
-if(CMAKE_OSX_ARCHITECTURES AND NOT CMAKE_OSX_ARCHITECTURES MATCHES ";")
-    # Single architecture specified
-    if(CMAKE_OSX_ARCHITECTURES STREQUAL "x86_64" AND NOT CMAKE_SYSTEM_PROCESSOR STREQUAL "x86_64")
-        message(STATUS "Cross-compiling for x86_64: overriding CMAKE_SYSTEM_PROCESSOR from ${CMAKE_SYSTEM_PROCESSOR} to x86_64")
-        set(CMAKE_SYSTEM_PROCESSOR "x86_64")
-    elseif(CMAKE_OSX_ARCHITECTURES STREQUAL "arm64" AND NOT CMAKE_SYSTEM_PROCESSOR STREQUAL "arm64")
-        message(STATUS "Cross-compiling for arm64: overriding CMAKE_SYSTEM_PROCESSOR from ${CMAKE_SYSTEM_PROCESSOR} to arm64")
-        set(CMAKE_SYSTEM_PROCESSOR "arm64")
-    endif()
-endif()
-
 include(CheckLanguage)
 include(GNUInstallDirs)
 
@@ -28,7 +12,7 @@ set(BUILD_SHARED_LIBS ON)
 
 set(CMAKE_CXX_STANDARD 17)
 set(CMAKE_CXX_STANDARD_REQUIRED ON)
-set(CMAKE_CXX_EXTENSIONS ON) # Recent versions of MLX Requires gnu++17 extensions to compile properly
+set(CMAKE_CXX_EXTENSIONS OFF)
 
 set(GGML_BUILD ON)
 set(GGML_SHARED ON)
@@ -48,10 +32,9 @@ if((CMAKE_OSX_ARCHITECTURES AND NOT CMAKE_OSX_ARCHITECTURES MATCHES "arm64")
     set(GGML_CPU_ALL_VARIANTS ON)
 endif()
 
-if(APPLE)
+if (CMAKE_OSX_ARCHITECTURES MATCHES "x86_64")
     set(CMAKE_BUILD_RPATH "@loader_path")
     set(CMAKE_INSTALL_RPATH "@loader_path")
-    set(CMAKE_BUILD_WITH_INSTALL_RPATH ON)
 endif()
 
 set(OLLAMA_BUILD_DIR ${CMAKE_BINARY_DIR}/lib/ollama)
@@ -71,13 +54,6 @@ include_directories(${CMAKE_CURRENT_SOURCE_DIR}/ml/backend/ggml/ggml/src/ggml-cp
 
 add_compile_definitions(NDEBUG GGML_VERSION=0x0 GGML_COMMIT=0x0)
 
-# Define GGML version variables for shared library SOVERSION
-# These are required by ggml/src/CMakeLists.txt for proper library versioning
-set(GGML_VERSION_MAJOR 0)
-set(GGML_VERSION_MINOR 0)
-set(GGML_VERSION_PATCH 0)
-set(GGML_VERSION "${GGML_VERSION_MAJOR}.${GGML_VERSION_MINOR}.${GGML_VERSION_PATCH}")
-
 set(GGML_CPU ON)
 add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/ml/backend/ggml/ggml/src)
 set_property(TARGET ggml PROPERTY EXCLUDE_FROM_ALL TRUE)
@@ -164,9 +140,8 @@ if(CMAKE_HIP_COMPILER)
     endif()
 endif()
 
-if(NOT APPLE)
+find_package(Vulkan)
-    find_package(Vulkan)
+if(Vulkan_FOUND)
-    if(Vulkan_FOUND)
     add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/ml/backend/ggml/ggml/src/ggml-vulkan)
     install(TARGETS ggml-vulkan
         RUNTIME_DEPENDENCIES
@@ -175,45 +150,4 @@ if(NOT APPLE)
         RUNTIME DESTINATION ${OLLAMA_INSTALL_DIR} COMPONENT Vulkan
         LIBRARY DESTINATION ${OLLAMA_INSTALL_DIR} COMPONENT Vulkan
     )
-    endif()
-endif()
-
-option(MLX_ENGINE "Enable MLX backend" OFF)
-
-if(MLX_ENGINE)
-    message(STATUS "Setting up MLX (this takes a while...)")
-    add_subdirectory(${CMAKE_CURRENT_SOURCE_DIR}/x/ml/backend/mlx)
-
-    # Find CUDA toolkit if MLX is built with CUDA support
-    find_package(CUDAToolkit)
-
-    install(TARGETS mlx mlxc
-        RUNTIME_DEPENDENCIES
-            DIRECTORIES ${CUDAToolkit_BIN_DIR} ${CUDAToolkit_BIN_DIR}/x64 ${CUDAToolkit_LIBRARY_DIR}
-            PRE_INCLUDE_REGEXES cublas cublasLt cudart nvrtc cudnn nccl
-            PRE_EXCLUDE_REGEXES ".*"
-        RUNTIME DESTINATION ${OLLAMA_INSTALL_DIR} COMPONENT MLX
-        LIBRARY DESTINATION ${OLLAMA_INSTALL_DIR} COMPONENT MLX
-        FRAMEWORK DESTINATION ${OLLAMA_INSTALL_DIR} COMPONENT MLX
-    )
-
-    # Install the Metal library for macOS arm64 (must be colocated with the binary)
-    # Metal backend is only built for arm64, not x86_64
-    if(APPLE AND CMAKE_SYSTEM_PROCESSOR STREQUAL "arm64")
-        install(FILES ${CMAKE_BINARY_DIR}/_deps/mlx-build/mlx/backend/metal/kernels/mlx.metallib
-            DESTINATION ${OLLAMA_INSTALL_DIR}
-            COMPONENT MLX)
-    endif()
-
-    # Manually install cudart and cublas since they might not be picked up as direct dependencies
-    if(CUDAToolkit_FOUND)
-        file(GLOB CUDART_LIBS
-            "${CUDAToolkit_LIBRARY_DIR}/libcudart.so*"
-            "${CUDAToolkit_LIBRARY_DIR}/libcublas.so*")
-        if(CUDART_LIBS)
-            install(FILES ${CUDART_LIBS}
-                DESTINATION ${OLLAMA_INSTALL_DIR}
-                COMPONENT MLX)
-        endif()
-    endif()
 endif()

CMakePresets.json

@@ -41,7 +41,7 @@
       "inherits": [ "CUDA" ],
       "cacheVariables": {
         "CMAKE_CUDA_ARCHITECTURES": "75-virtual;80-virtual;86-virtual;87-virtual;89-virtual;90-virtual;90a-virtual;100-virtual;103-virtual;110-virtual;120-virtual;121-virtual",
-        "CMAKE_CUDA_FLAGS": "-t 4",
+        "CMAKE_CUDA_FLAGS": "-t 2",
         "OLLAMA_RUNNER_DIR": "cuda_v13"
       }
     },
@@ -83,28 +83,6 @@
       "cacheVariables": {
         "OLLAMA_RUNNER_DIR": "vulkan"
       }
-    },
-    {
-      "name": "MLX",
-      "inherits": [ "Default" ],
-      "cacheVariables": {
-        "MLX_ENGINE": "ON",
-        "OLLAMA_RUNNER_DIR": "mlx"
-      }
-    },
-    {
-      "name": "MLX CUDA 12",
-      "inherits": [ "MLX", "CUDA 12" ],
-      "cacheVariables": {
-        "OLLAMA_RUNNER_DIR": "mlx_cuda_v12"
-      }
-    },
-    {
-      "name": "MLX CUDA 13",
-      "inherits": [ "MLX", "CUDA 13" ],
-      "cacheVariables": {
-        "OLLAMA_RUNNER_DIR": "mlx_cuda_v13"
-      }
     }
   ],
   "buildPresets": [
@@ -162,21 +140,6 @@
       "name": "Vulkan",
       "targets": [ "ggml-vulkan" ],
       "configurePreset": "Vulkan"
-    },
-    {
-      "name": "MLX",
-      "targets": [ "mlx", "mlxc" ],
-      "configurePreset": "MLX"
-    },
-    {
-      "name": "MLX CUDA 12",
-      "targets": [ "mlx", "mlxc" ],
-      "configurePreset": "MLX CUDA 12"
-    },
-    {
-      "name": "MLX CUDA 13",
-      "targets": [ "mlx", "mlxc" ],
-      "configurePreset": "MLX CUDA 13"
     }
   ]
 }

CONTRIBUTING.md

@@ -16,7 +16,7 @@ See the [development documentation](./docs/development.md) for instructions on h
 
 * New features: new features (e.g. API fields, environment variables) add surface area to Ollama and make it harder to maintain in the long run as they cannot be removed without potentially breaking users in the future.
 * Refactoring: large code improvements are important, but can be harder or take longer to review and merge.
-* Documentation: small updates to fill in or correct missing documentation are helpful, however large documentation additions can be hard to maintain over time.
+* Documentation: small updates to fill in or correct missing documentation is helpful, however large documentation additions can be hard to maintain over time.
 
 ### Issues that may not be accepted
 
@@ -43,7 +43,7 @@ Tips for proposals:
 * Explain how the change will be tested.
 
 Additionally, for bonus points: Provide draft documentation you would expect to
-see if the changes were accepted.
+see if the change were accepted.
 
 ## Pull requests
 
@@ -66,6 +66,7 @@ Examples:
 
       llm/backend/mlx: support the llama architecture
       CONTRIBUTING: provide clarity on good commit messages, and bad
+      docs: simplify manual installation with shorter curl commands
 
 Bad Examples:
 

Dockerfile

@@ -39,14 +39,14 @@ ENV CC=clang CXX=clang++
 FROM base-${TARGETARCH} AS base
 ARG CMAKEVERSION
 RUN curl -fsSL https://github.com/Kitware/CMake/releases/download/v${CMAKEVERSION}/cmake-${CMAKEVERSION}-linux-$(uname -m).tar.gz | tar xz -C /usr/local --strip-components 1
+COPY CMakeLists.txt CMakePresets.json .
+COPY ml/backend/ggml/ggml ml/backend/ggml/ggml
 ENV LDFLAGS=-s
 
 FROM base AS cpu
 RUN dnf install -y gcc-toolset-11-gcc gcc-toolset-11-gcc-c++
 ENV PATH=/opt/rh/gcc-toolset-11/root/usr/bin:$PATH
 ARG PARALLEL
-COPY CMakeLists.txt CMakePresets.json .
-COPY ml/backend/ggml/ggml ml/backend/ggml/ggml
 RUN --mount=type=cache,target=/root/.ccache \
     cmake --preset 'CPU' \
         && cmake --build --parallel ${PARALLEL} --preset 'CPU' \
@@ -57,8 +57,6 @@ ARG CUDA11VERSION=11.8
 RUN dnf install -y cuda-toolkit-${CUDA11VERSION//./-}
 ENV PATH=/usr/local/cuda-11/bin:$PATH
 ARG PARALLEL
-COPY CMakeLists.txt CMakePresets.json .
-COPY ml/backend/ggml/ggml ml/backend/ggml/ggml
 RUN --mount=type=cache,target=/root/.ccache \
     cmake --preset 'CUDA 11' \
         && cmake --build --parallel ${PARALLEL} --preset 'CUDA 11' \
@@ -69,8 +67,6 @@ ARG CUDA12VERSION=12.8
 RUN dnf install -y cuda-toolkit-${CUDA12VERSION//./-}
 ENV PATH=/usr/local/cuda-12/bin:$PATH
 ARG PARALLEL
-COPY CMakeLists.txt CMakePresets.json .
-COPY ml/backend/ggml/ggml ml/backend/ggml/ggml
 RUN --mount=type=cache,target=/root/.ccache \
     cmake --preset 'CUDA 12' \
         && cmake --build --parallel ${PARALLEL} --preset 'CUDA 12' \
@@ -82,8 +78,6 @@ ARG CUDA13VERSION=13.0
 RUN dnf install -y cuda-toolkit-${CUDA13VERSION//./-}
 ENV PATH=/usr/local/cuda-13/bin:$PATH
 ARG PARALLEL
-COPY CMakeLists.txt CMakePresets.json .
-COPY ml/backend/ggml/ggml ml/backend/ggml/ggml
 RUN --mount=type=cache,target=/root/.ccache \
     cmake --preset 'CUDA 13' \
         && cmake --build --parallel ${PARALLEL} --preset 'CUDA 13' \
@@ -93,8 +87,6 @@ RUN --mount=type=cache,target=/root/.ccache \
 FROM base AS rocm-6
 ENV PATH=/opt/rocm/hcc/bin:/opt/rocm/hip/bin:/opt/rocm/bin:/opt/rocm/hcc/bin:$PATH
 ARG PARALLEL
-COPY CMakeLists.txt CMakePresets.json .
-COPY ml/backend/ggml/ggml ml/backend/ggml/ggml
 RUN --mount=type=cache,target=/root/.ccache \
     cmake --preset 'ROCm 6' \
         && cmake --build --parallel ${PARALLEL} --preset 'ROCm 6' \
@@ -126,44 +118,11 @@ RUN --mount=type=cache,target=/root/.ccache \
         && cmake --install build --component CUDA --strip --parallel ${PARALLEL}
 
 FROM base AS vulkan
-COPY CMakeLists.txt CMakePresets.json .
-COPY ml/backend/ggml/ggml ml/backend/ggml/ggml
 RUN --mount=type=cache,target=/root/.ccache \
     cmake --preset 'Vulkan' \
         && cmake --build --parallel --preset 'Vulkan' \
         && cmake --install build --component Vulkan --strip --parallel 8 
 
-FROM base AS mlx
-ARG CUDA13VERSION=13.0
-RUN dnf install -y cuda-toolkit-${CUDA13VERSION//./-} \
-    && dnf install -y openblas-devel lapack-devel \
-    && dnf install -y libcudnn9-cuda-13 libcudnn9-devel-cuda-13 \
-    && dnf install -y libnccl libnccl-devel
-ENV PATH=/usr/local/cuda-13/bin:$PATH
-ENV BLAS_INCLUDE_DIRS=/usr/include/openblas
-ENV LAPACK_INCLUDE_DIRS=/usr/include/openblas
-ENV CGO_LDFLAGS="-L/usr/local/cuda-13/lib64 -L/usr/local/cuda-13/targets/x86_64-linux/lib/stubs"
-ARG PARALLEL
-WORKDIR /go/src/github.com/ollama/ollama
-COPY CMakeLists.txt CMakePresets.json .
-COPY ml/backend/ggml/ggml ml/backend/ggml/ggml
-COPY x/ml/backend/mlx x/ml/backend/mlx
-COPY go.mod go.sum .
-RUN curl -fsSL https://golang.org/dl/go$(awk '/^go/ { print $2 }' go.mod).linux-$(case $(uname -m) in x86_64) echo amd64 ;; aarch64) echo arm64 ;; esac).tar.gz | tar xz -C /usr/local
-ENV PATH=/usr/local/go/bin:$PATH
-RUN go mod download
-RUN --mount=type=cache,target=/root/.ccache \
-    cmake --preset 'MLX CUDA 13' -DBLAS_INCLUDE_DIRS=/usr/include/openblas -DLAPACK_INCLUDE_DIRS=/usr/include/openblas \
-        && cmake --build --parallel ${PARALLEL} --preset 'MLX CUDA 13' \
-        && cmake --install build --component MLX --strip --parallel ${PARALLEL}
-COPY . .
-ARG GOFLAGS="'-ldflags=-w -s'"
-ENV CGO_ENABLED=1
-ARG CGO_CFLAGS
-ARG CGO_CXXFLAGS
-RUN mkdir -p dist/bin
-RUN --mount=type=cache,target=/root/.cache/go-build \
-    go build -tags mlx -trimpath -buildmode=pie -o dist/bin/ollama-mlx .
 
 FROM base AS build
 WORKDIR /go/src/github.com/ollama/ollama
@@ -184,8 +143,6 @@ FROM --platform=linux/amd64 scratch AS amd64
 COPY --from=cuda-12 dist/lib/ollama /lib/ollama/
 COPY --from=cuda-13 dist/lib/ollama /lib/ollama/
 COPY --from=vulkan  dist/lib/ollama  /lib/ollama/
-COPY --from=mlx     /go/src/github.com/ollama/ollama/dist/lib/ollama /lib/ollama/
-COPY --from=mlx     /go/src/github.com/ollama/ollama/dist/bin/ /bin/
 
 FROM --platform=linux/arm64 scratch AS arm64
 # COPY --from=cuda-11 dist/lib/ollama/ /lib/ollama/
@@ -202,9 +159,34 @@ ARG VULKANVERSION
 COPY --from=cpu dist/lib/ollama /lib/ollama
 COPY --from=build /bin/ollama /bin/ollama
 
-FROM ubuntu:24.04
+# Temporary opt-out stages for Vulkan
+FROM --platform=linux/amd64 scratch AS amd64_novulkan
+# COPY --from=cuda-11 dist/lib/ollama/ /lib/ollama/
+COPY --from=cuda-12 dist/lib/ollama /lib/ollama/
+COPY --from=cuda-13 dist/lib/ollama /lib/ollama/
+FROM arm64 AS arm64_novulkan
+FROM ${FLAVOR}_novulkan AS archive_novulkan
+COPY --from=cpu dist/lib/ollama /lib/ollama
+COPY --from=build /bin/ollama /bin/ollama
+FROM ubuntu:24.04 AS novulkan
 RUN apt-get update \
-    && apt-get install -y ca-certificates libvulkan1 libopenblas0 \
+    && apt-get install -y ca-certificates \
+    && apt-get clean \
+    && rm -rf /var/lib/apt/lists/*
+COPY --from=archive_novulkan /bin /usr/bin
+ENV PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
+COPY --from=archive_novulkan /lib/ollama /usr/lib/ollama
+ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
+ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
+ENV NVIDIA_VISIBLE_DEVICES=all
+ENV OLLAMA_HOST=0.0.0.0:11434
+EXPOSE 11434
+ENTRYPOINT ["/bin/ollama"]
+CMD ["serve"]
+
+FROM ubuntu:24.04 AS default
+RUN apt-get update \
+    && apt-get install -y ca-certificates libvulkan1 \
     && apt-get clean \
     && rm -rf /var/lib/apt/lists/*
 COPY --from=archive /bin /usr/bin

Makefile.sync

@@ -1,6 +1,6 @@
 UPSTREAM=https://github.com/ggml-org/llama.cpp.git
 WORKDIR=llama/vendor
-FETCH_HEAD=ec98e2002
+FETCH_HEAD=3cfa9c3f125763305b4226bc032f1954f08990dc
 
 .PHONY: help
 help:
@@ -57,7 +57,7 @@ checkout: $(WORKDIR)
 $(WORKDIR):
 	git clone $(UPSTREAM) $(WORKDIR)
 
-.PHONY: format-patches
+.PHONE: format-patches
 format-patches: llama/patches
 	git -C $(WORKDIR) format-patch \
 		--no-signature \
@@ -66,11 +66,7 @@ format-patches: llama/patches
 		-o $(realpath $<) \
 		$(FETCH_HEAD)
 
-.PHONY: clean
+.PHONE: clean
 clean: checkout
 	@git -C $(WORKDIR) am --abort || true
 	$(RM) llama/patches/.*.patched
-
-.PHONY: print-base
-print-base:
-	@echo $(FETCH_HEAD)

README.md

@@ -299,7 +299,6 @@ See the [API documentation](./docs/api.md) for all endpoints.
 - [LibreChat](https://github.com/danny-avila/LibreChat)
 - [Bionic GPT](https://github.com/bionic-gpt/bionic-gpt)
 - [HTML UI](https://github.com/rtcfirefly/ollama-ui)
-- [AI-UI](https://github.com/bajahaw/ai-ui)
 - [Saddle](https://github.com/jikkuatwork/saddle)
 - [TagSpaces](https://www.tagspaces.org) (A platform for file-based apps, [utilizing Ollama](https://docs.tagspaces.org/ai/) for the generation of tags and descriptions)
 - [Chatbot UI](https://github.com/ivanfioravanti/chatbot-ollama)
@@ -366,8 +365,7 @@ See the [API documentation](./docs/api.md) for all endpoints.
 - [PartCAD](https://github.com/openvmp/partcad/) (CAD model generation with OpenSCAD and CadQuery)
 - [Ollama4j Web UI](https://github.com/ollama4j/ollama4j-web-ui) - Java-based Web UI for Ollama built with Vaadin, Spring Boot, and Ollama4j
 - [PyOllaMx](https://github.com/kspviswa/pyOllaMx) - macOS application capable of chatting with both Ollama and Apple MLX models.
-- [Cline](https://github.com/cline/cline) - Formerly known as Claude Dev is a VS Code extension for multi-file/whole-repo coding
+- [Cline](https://github.com/cline/cline) - Formerly known as Claude Dev is a VSCode extension for multi-file/whole-repo coding
-- [Void](https://github.com/voideditor/void) (Open source AI code editor and Cursor alternative)
 - [Cherry Studio](https://github.com/kangfenmao/cherry-studio) (Desktop client with Ollama support)
 - [ConfiChat](https://github.com/1runeberg/confichat) (Lightweight, standalone, multi-platform, and privacy-focused LLM chat interface with optional encryption)
 - [Archyve](https://github.com/nickthecook/archyve) (RAG-enabling document library)
@@ -399,7 +397,7 @@ See the [API documentation](./docs/api.md) for all endpoints.
 - [aidful-ollama-model-delete](https://github.com/AidfulAI/aidful-ollama-model-delete) (User interface for simplified model cleanup)
 - [Perplexica](https://github.com/ItzCrazyKns/Perplexica) (An AI-powered search engine & an open-source alternative to Perplexity AI)
 - [Ollama Chat WebUI for Docker ](https://github.com/oslook/ollama-webui) (Support for local docker deployment, lightweight ollama webui)
-- [AI Toolkit for Visual Studio Code](https://aka.ms/ai-tooklit/ollama-docs) (Microsoft-official VS Code extension to chat, test, evaluate models with Ollama support, and use them in your AI applications.)
+- [AI Toolkit for Visual Studio Code](https://aka.ms/ai-tooklit/ollama-docs) (Microsoft-official VSCode extension to chat, test, evaluate models with Ollama support, and use them in your AI applications.)
 - [MinimalNextOllamaChat](https://github.com/anilkay/MinimalNextOllamaChat) (Minimal Web UI for Chat and Model Control)
 - [Chipper](https://github.com/TilmanGriesel/chipper) AI interface for tinkerers (Ollama, Haystack RAG, Python)
 - [ChibiChat](https://github.com/CosmicEventHorizon/ChibiChat) (Kotlin-based Android app to chat with Ollama and Koboldcpp API endpoints)
@@ -428,7 +426,6 @@ See the [API documentation](./docs/api.md) for all endpoints.
 - [Mayan EDMS](https://gitlab.com/mayan-edms/mayan-edms) (Open source document management system to organize, tag, search, and automate your files with powerful Ollama driven workflows.)
 - [Serene Pub](https://github.com/doolijb/serene-pub) (Beginner friendly, open source AI Roleplaying App for Windows, Mac OS and Linux. Search, download and use models with Ollama all inside the app.)
 - [Andes](https://github.com/aqerd/andes) (A Visual Studio Code extension that provides a local UI interface for Ollama models)
-- [KDeps](https://github.com/kdeps/kdeps) (Kdeps is an offline-first AI framework for building Dockerized full-stack AI applications declaratively using Apple PKL and integrates APIs with Ollama on the backend.)
 - [Clueless](https://github.com/KashyapTan/clueless) (Open Source & Local Cluely: A desktop application LLM assistant to help you talk to anything on your screen using locally served Ollama models. Also undetectable to screenshare)
 - [ollama-co2](https://github.com/carbonatedWaterOrg/ollama-co2) (FastAPI web interface for monitoring and managing local and remote Ollama servers with real-time model monitoring and concurrent downloads)
 - [Hillnote](https://hillnote.com) (A Markdown-first workspace designed to supercharge your AI workflow. Create documents ready to integrate with Claude, ChatGPT, Gemini, Cursor, and more - all while keeping your work on your device.)
@@ -555,7 +552,7 @@ See the [API documentation](./docs/api.md) for all endpoints.
 - [Parakeet](https://github.com/parakeet-nest/parakeet) is a GoLang library, made to simplify the development of small generative AI applications with Ollama.
 - [Haverscript](https://github.com/andygill/haverscript) with [examples](https://github.com/andygill/haverscript/tree/main/examples)
 - [Ollama for Swift](https://github.com/mattt/ollama-swift)
-- [Swollama for Swift](https://github.com/guitaripod/Swollama) with [DocC](https://guitaripod.github.io/Swollama/documentation/swollama)
+- [Swollama for Swift](https://github.com/marcusziade/Swollama) with [DocC](https://marcusziade.github.io/Swollama/documentation/swollama/)
 - [GoLamify](https://github.com/prasad89/golamify)
 - [Ollama for Haskell](https://github.com/tusharad/ollama-haskell)
 - [multi-llm-ts](https://github.com/nbonamy/multi-llm-ts) (A Typescript/JavaScript library allowing access to different LLM in a unified API)
@@ -618,7 +615,7 @@ See the [API documentation](./docs/api.md) for all endpoints.
 - [LSP-AI](https://github.com/SilasMarvin/lsp-ai) (Open-source language server for AI-powered functionality)
 - [QodeAssist](https://github.com/Palm1r/QodeAssist) (AI-powered coding assistant plugin for Qt Creator)
 - [Obsidian Quiz Generator plugin](https://github.com/ECuiDev/obsidian-quiz-generator)
-- [AI Summary Helper plugin](https://github.com/philffm/ai-summary-helper)
+- [AI Summmary Helper plugin](https://github.com/philffm/ai-summary-helper)
 - [TextCraft](https://github.com/suncloudsmoon/TextCraft) (Copilot in Word alternative using Ollama)
 - [Alfred Ollama](https://github.com/zeitlings/alfred-ollama) (Alfred Workflow)
 - [TextLLaMA](https://github.com/adarshM84/TextLLaMA) A Chrome Extension that helps you write emails, correct grammar, and translate into any language
@@ -626,7 +623,7 @@ See the [API documentation](./docs/api.md) for all endpoints.
 - [LLM Telegram Bot](https://github.com/innightwolfsleep/llm_telegram_bot) (telegram bot, primary for RP. Oobabooga-like buttons, [A1111](https://github.com/AUTOMATIC1111/stable-diffusion-webui) API integration e.t.c)
 - [mcp-llm](https://github.com/sammcj/mcp-llm) (MCP Server to allow LLMs to call other LLMs)
 - [SimpleOllamaUnity](https://github.com/HardCodeDev777/SimpleOllamaUnity) (Unity Engine extension for communicating with Ollama in a few lines of code. Also works at runtime)
-- [UnityCodeLama](https://github.com/HardCodeDev777/UnityCodeLama) (Unity Editor tool to analyze scripts via Ollama)
+- [UnityCodeLama](https://github.com/HardCodeDev777/UnityCodeLama) (Unity Edtior tool to analyze scripts via Ollama)
 - [NativeMind](https://github.com/NativeMindBrowser/NativeMindExtension) (Private, on-device AI Assistant, no cloud dependencies)
 - [GMAI - Gradle Managed AI](https://gmai.premex.se/) (Gradle plugin for automated Ollama lifecycle management during build phases)
 - [NOMYO Router](https://github.com/nomyo-ai/nomyo-router) (A transparent Ollama proxy with model deployment aware routing which auto-manages multiple Ollama instances in a given network)
@@ -636,12 +633,9 @@ See the [API documentation](./docs/api.md) for all endpoints.
 - [llama.cpp](https://github.com/ggml-org/llama.cpp) project founded by Georgi Gerganov.
 
 ### Observability
-- [Opik](https://www.comet.com/docs/opik/cookbook/ollama) is an open-source platform to debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards. Opik supports native integration to Ollama.
+- [Opik](https://www.comet.com/docs/opik/cookbook/ollama) is an open-source platform to debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards. Opik supports native intergration to Ollama.
 - [Lunary](https://lunary.ai/docs/integrations/ollama) is the leading open-source LLM observability platform. It provides a variety of enterprise-grade features such as real-time analytics, prompt templates management, PII masking, and comprehensive agent tracing.
 - [OpenLIT](https://github.com/openlit/openlit) is an OpenTelemetry-native tool for monitoring Ollama Applications & GPUs using traces and metrics.
 - [HoneyHive](https://docs.honeyhive.ai/integrations/ollama) is an AI observability and evaluation platform for AI agents. Use HoneyHive to evaluate agent performance, interrogate failures, and monitor quality in production.
 - [Langfuse](https://langfuse.com/docs/integrations/ollama) is an open source LLM observability platform that enables teams to collaboratively monitor, evaluate and debug AI applications.
 - [MLflow Tracing](https://mlflow.org/docs/latest/llms/tracing/index.html#automatic-tracing) is an open source LLM observability tool with a convenient API to log and visualize traces, making it easy to debug and evaluate GenAI applications.
-
-### Security
-- [Ollama Fortress](https://github.com/ParisNeo/ollama_proxy_server)

SECURITY.md

@@ -14,7 +14,7 @@ Please include the following details in your report:
 
 ## Security best practices
 
-While the maintainer team does its best to secure Ollama, users are encouraged to implement their own security best practices, such as:
+While the maintainer team does their best to secure Ollama, users are encouraged to implement their own security best practices, such as:
 
 - Regularly updating to the latest version of Ollama
 - Securing access to hosted instances of Ollama

anthropic/anthropic.go

@@ -1,778 +0,0 @@
-package anthropic
-
-import (
-	"crypto/rand"
-	"encoding/base64"
-	"encoding/json"
-	"errors"
-	"fmt"
-	"log/slog"
-	"net/http"
-	"strings"
-	"time"
-
-	"github.com/ollama/ollama/api"
-)
-
-// Error types matching Anthropic API
-type Error struct {
-	Type    string `json:"type"`
-	Message string `json:"message"`
-}
-
-type ErrorResponse struct {
-	Type      string `json:"type"` // always "error"
-	Error     Error  `json:"error"`
-	RequestID string `json:"request_id,omitempty"`
-}
-
-// NewError creates a new ErrorResponse with the appropriate error type based on HTTP status code
-func NewError(code int, message string) ErrorResponse {
-	var etype string
-	switch code {
-	case http.StatusBadRequest:
-		etype = "invalid_request_error"
-	case http.StatusUnauthorized:
-		etype = "authentication_error"
-	case http.StatusForbidden:
-		etype = "permission_error"
-	case http.StatusNotFound:
-		etype = "not_found_error"
-	case http.StatusTooManyRequests:
-		etype = "rate_limit_error"
-	case http.StatusServiceUnavailable, 529:
-		etype = "overloaded_error"
-	default:
-		etype = "api_error"
-	}
-
-	return ErrorResponse{
-		Type:      "error",
-		Error:     Error{Type: etype, Message: message},
-		RequestID: generateID("req"),
-	}
-}
-
-// Request types
-
-// MessagesRequest represents an Anthropic Messages API request
-type MessagesRequest struct {
-	Model         string          `json:"model"`
-	MaxTokens     int             `json:"max_tokens"`
-	Messages      []MessageParam  `json:"messages"`
-	System        any             `json:"system,omitempty"` // string or []ContentBlock
-	Stream        bool            `json:"stream,omitempty"`
-	Temperature   *float64        `json:"temperature,omitempty"`
-	TopP          *float64        `json:"top_p,omitempty"`
-	TopK          *int            `json:"top_k,omitempty"`
-	StopSequences []string        `json:"stop_sequences,omitempty"`
-	Tools         []Tool          `json:"tools,omitempty"`
-	ToolChoice    *ToolChoice     `json:"tool_choice,omitempty"`
-	Thinking      *ThinkingConfig `json:"thinking,omitempty"`
-	Metadata      *Metadata       `json:"metadata,omitempty"`
-}
-
-// MessageParam represents a message in the request
-type MessageParam struct {
-	Role    string `json:"role"`    // "user" or "assistant"
-	Content any    `json:"content"` // string or []ContentBlock
-}
-
-// ContentBlock represents a content block in a message.
-// Text and Thinking use pointers so they serialize as the field being present (even if empty)
-// only when set, which is required for SDK streaming accumulation.
-type ContentBlock struct {
-	Type string `json:"type"` // text, image, tool_use, tool_result, thinking
-
-	// For text blocks - pointer so field only appears when set (SDK requires it for accumulation)
-	Text *string `json:"text,omitempty"`
-
-	// For image blocks
-	Source *ImageSource `json:"source,omitempty"`
-
-	// For tool_use blocks
-	ID    string `json:"id,omitempty"`
-	Name  string `json:"name,omitempty"`
-	Input any    `json:"input,omitempty"`
-
-	// For tool_result blocks
-	ToolUseID string `json:"tool_use_id,omitempty"`
-	Content   any    `json:"content,omitempty"` // string or []ContentBlock
-	IsError   bool   `json:"is_error,omitempty"`
-
-	// For thinking blocks - pointer so field only appears when set (SDK requires it for accumulation)
-	Thinking  *string `json:"thinking,omitempty"`
-	Signature string  `json:"signature,omitempty"`
-}
-
-// ImageSource represents the source of an image
-type ImageSource struct {
-	Type      string `json:"type"` // "base64" or "url"
-	MediaType string `json:"media_type,omitempty"`
-	Data      string `json:"data,omitempty"`
-	URL       string `json:"url,omitempty"`
-}
-
-// Tool represents a tool definition
-type Tool struct {
-	Type        string          `json:"type,omitempty"` // "custom" for user-defined tools
-	Name        string          `json:"name"`
-	Description string          `json:"description,omitempty"`
-	InputSchema json.RawMessage `json:"input_schema,omitempty"`
-}
-
-// ToolChoice controls how the model uses tools
-type ToolChoice struct {
-	Type                   string `json:"type"` // "auto", "any", "tool", "none"
-	Name                   string `json:"name,omitempty"`
-	DisableParallelToolUse bool   `json:"disable_parallel_tool_use,omitempty"`
-}
-
-// ThinkingConfig controls extended thinking
-type ThinkingConfig struct {
-	Type         string `json:"type"` // "enabled" or "disabled"
-	BudgetTokens int    `json:"budget_tokens,omitempty"`
-}
-
-// Metadata for the request
-type Metadata struct {
-	UserID string `json:"user_id,omitempty"`
-}
-
-// Response types
-
-// MessagesResponse represents an Anthropic Messages API response
-type MessagesResponse struct {
-	ID           string         `json:"id"`
-	Type         string         `json:"type"` // "message"
-	Role         string         `json:"role"` // "assistant"
-	Model        string         `json:"model"`
-	Content      []ContentBlock `json:"content"`
-	StopReason   string         `json:"stop_reason,omitempty"`
-	StopSequence string         `json:"stop_sequence,omitempty"`
-	Usage        Usage          `json:"usage"`
-}
-
-// Usage contains token usage information
-type Usage struct {
-	InputTokens  int `json:"input_tokens"`
-	OutputTokens int `json:"output_tokens"`
-}
-
-// Streaming event types
-
-// MessageStartEvent is sent at the start of streaming
-type MessageStartEvent struct {
-	Type    string           `json:"type"` // "message_start"
-	Message MessagesResponse `json:"message"`
-}
-
-// ContentBlockStartEvent signals the start of a content block
-type ContentBlockStartEvent struct {
-	Type         string       `json:"type"` // "content_block_start"
-	Index        int          `json:"index"`
-	ContentBlock ContentBlock `json:"content_block"`
-}
-
-// ContentBlockDeltaEvent contains incremental content updates
-type ContentBlockDeltaEvent struct {
-	Type  string `json:"type"` // "content_block_delta"
-	Index int    `json:"index"`
-	Delta Delta  `json:"delta"`
-}
-
-// Delta represents an incremental update
-type Delta struct {
-	Type        string `json:"type"` // "text_delta", "input_json_delta", "thinking_delta", "signature_delta"
-	Text        string `json:"text,omitempty"`
-	PartialJSON string `json:"partial_json,omitempty"`
-	Thinking    string `json:"thinking,omitempty"`
-	Signature   string `json:"signature,omitempty"`
-}
-
-// ContentBlockStopEvent signals the end of a content block
-type ContentBlockStopEvent struct {
-	Type  string `json:"type"` // "content_block_stop"
-	Index int    `json:"index"`
-}
-
-// MessageDeltaEvent contains updates to the message
-type MessageDeltaEvent struct {
-	Type  string       `json:"type"` // "message_delta"
-	Delta MessageDelta `json:"delta"`
-	Usage DeltaUsage   `json:"usage"`
-}
-
-// MessageDelta contains stop information
-type MessageDelta struct {
-	StopReason   string `json:"stop_reason,omitempty"`
-	StopSequence string `json:"stop_sequence,omitempty"`
-}
-
-// DeltaUsage contains cumulative token usage
-type DeltaUsage struct {
-	OutputTokens int `json:"output_tokens"`
-}
-
-// MessageStopEvent signals the end of the message
-type MessageStopEvent struct {
-	Type string `json:"type"` // "message_stop"
-}
-
-// PingEvent is a keepalive event
-type PingEvent struct {
-	Type string `json:"type"` // "ping"
-}
-
-// StreamErrorEvent is an error during streaming
-type StreamErrorEvent struct {
-	Type  string `json:"type"` // "error"
-	Error Error  `json:"error"`
-}
-
-// FromMessagesRequest converts an Anthropic MessagesRequest to an Ollama api.ChatRequest
-func FromMessagesRequest(r MessagesRequest) (*api.ChatRequest, error) {
-	var messages []api.Message
-
-	if r.System != nil {
-		switch sys := r.System.(type) {
-		case string:
-			if sys != "" {
-				messages = append(messages, api.Message{Role: "system", Content: sys})
-			}
-		case []any:
-			// System can be an array of content blocks
-			var content strings.Builder
-			for _, block := range sys {
-				if blockMap, ok := block.(map[string]any); ok {
-					if blockMap["type"] == "text" {
-						if text, ok := blockMap["text"].(string); ok {
-							content.WriteString(text)
-						}
-					}
-				}
-			}
-			if content.Len() > 0 {
-				messages = append(messages, api.Message{Role: "system", Content: content.String()})
-			}
-		}
-	}
-
-	for _, msg := range r.Messages {
-		converted, err := convertMessage(msg)
-		if err != nil {
-			return nil, err
-		}
-		messages = append(messages, converted...)
-	}
-
-	options := make(map[string]any)
-
-	options["num_predict"] = r.MaxTokens
-
-	if r.Temperature != nil {
-		options["temperature"] = *r.Temperature
-	}
-
-	if r.TopP != nil {
-		options["top_p"] = *r.TopP
-	}
-
-	if r.TopK != nil {
-		options["top_k"] = *r.TopK
-	}
-
-	if len(r.StopSequences) > 0 {
-		options["stop"] = r.StopSequences
-	}
-
-	var tools api.Tools
-	for _, t := range r.Tools {
-		tool, err := convertTool(t)
-		if err != nil {
-			return nil, err
-		}
-		tools = append(tools, tool)
-	}
-
-	var think *api.ThinkValue
-	if r.Thinking != nil && r.Thinking.Type == "enabled" {
-		think = &api.ThinkValue{Value: true}
-	}
-
-	stream := r.Stream
-
-	return &api.ChatRequest{
-		Model:    r.Model,
-		Messages: messages,
-		Options:  options,
-		Stream:   &stream,
-		Tools:    tools,
-		Think:    think,
-	}, nil
-}
-
-// convertMessage converts an Anthropic MessageParam to Ollama api.Message(s)
-func convertMessage(msg MessageParam) ([]api.Message, error) {
-	var messages []api.Message
-	role := strings.ToLower(msg.Role)
-
-	switch content := msg.Content.(type) {
-	case string:
-		messages = append(messages, api.Message{Role: role, Content: content})
-
-	case []any:
-		var textContent strings.Builder
-		var images []api.ImageData
-		var toolCalls []api.ToolCall
-		var thinking string
-		var toolResults []api.Message
-
-		for _, block := range content {
-			blockMap, ok := block.(map[string]any)
-			if !ok {
-				return nil, errors.New("invalid content block format")
-			}
-
-			blockType, _ := blockMap["type"].(string)
-
-			switch blockType {
-			case "text":
-				if text, ok := blockMap["text"].(string); ok {
-					textContent.WriteString(text)
-				}
-
-			case "image":
-				source, ok := blockMap["source"].(map[string]any)
-				if !ok {
-					return nil, errors.New("invalid image source")
-				}
-
-				sourceType, _ := source["type"].(string)
-				if sourceType == "base64" {
-					data, _ := source["data"].(string)
-					decoded, err := base64.StdEncoding.DecodeString(data)
-					if err != nil {
-						return nil, fmt.Errorf("invalid base64 image data: %w", err)
-					}
-					images = append(images, decoded)
-				} else {
-					return nil, fmt.Errorf("invalid image source type: %s. Only base64 images are supported.", sourceType)
-				}
-				// URL images would need to be fetched - skip for now
-
-			case "tool_use":
-				id, ok := blockMap["id"].(string)
-				if !ok {
-					return nil, errors.New("tool_use block missing required 'id' field")
-				}
-				name, ok := blockMap["name"].(string)
-				if !ok {
-					return nil, errors.New("tool_use block missing required 'name' field")
-				}
-				tc := api.ToolCall{
-					ID: id,
-					Function: api.ToolCallFunction{
-						Name: name,
-					},
-				}
-				if input, ok := blockMap["input"].(map[string]any); ok {
-					tc.Function.Arguments = mapToArgs(input)
-				}
-				toolCalls = append(toolCalls, tc)
-
-			case "tool_result":
-				toolUseID, _ := blockMap["tool_use_id"].(string)
-				var resultContent string
-
-				switch c := blockMap["content"].(type) {
-				case string:
-					resultContent = c
-				case []any:
-					for _, cb := range c {
-						if cbMap, ok := cb.(map[string]any); ok {
-							if cbMap["type"] == "text" {
-								if text, ok := cbMap["text"].(string); ok {
-									resultContent += text
-								}
-							}
-						}
-					}
-				}
-
-				toolResults = append(toolResults, api.Message{
-					Role:       "tool",
-					Content:    resultContent,
-					ToolCallID: toolUseID,
-				})
-
-			case "thinking":
-				if t, ok := blockMap["thinking"].(string); ok {
-					thinking = t
-				}
-			}
-		}
-
-		if textContent.Len() > 0 || len(images) > 0 || len(toolCalls) > 0 || thinking != "" {
-			m := api.Message{
-				Role:      role,
-				Content:   textContent.String(),
-				Images:    images,
-				ToolCalls: toolCalls,
-				Thinking:  thinking,
-			}
-			messages = append(messages, m)
-		}
-
-		// Add tool results as separate messages
-		messages = append(messages, toolResults...)
-
-	default:
-		return nil, fmt.Errorf("invalid message content type: %T", content)
-	}
-
-	return messages, nil
-}
-
-// convertTool converts an Anthropic Tool to an Ollama api.Tool
-func convertTool(t Tool) (api.Tool, error) {
-	var params api.ToolFunctionParameters
-	if len(t.InputSchema) > 0 {
-		if err := json.Unmarshal(t.InputSchema, &params); err != nil {
-			return api.Tool{}, fmt.Errorf("invalid input_schema for tool %q: %w", t.Name, err)
-		}
-	}
-
-	return api.Tool{
-		Type: "function",
-		Function: api.ToolFunction{
-			Name:        t.Name,
-			Description: t.Description,
-			Parameters:  params,
-		},
-	}, nil
-}
-
-// ToMessagesResponse converts an Ollama api.ChatResponse to an Anthropic MessagesResponse
-func ToMessagesResponse(id string, r api.ChatResponse) MessagesResponse {
-	var content []ContentBlock
-
-	if r.Message.Thinking != "" {
-		content = append(content, ContentBlock{
-			Type:     "thinking",
-			Thinking: ptr(r.Message.Thinking),
-		})
-	}
-
-	if r.Message.Content != "" {
-		content = append(content, ContentBlock{
-			Type: "text",
-			Text: ptr(r.Message.Content),
-		})
-	}
-
-	for _, tc := range r.Message.ToolCalls {
-		content = append(content, ContentBlock{
-			Type:  "tool_use",
-			ID:    tc.ID,
-			Name:  tc.Function.Name,
-			Input: tc.Function.Arguments,
-		})
-	}
-
-	stopReason := mapStopReason(r.DoneReason, len(r.Message.ToolCalls) > 0)
-
-	return MessagesResponse{
-		ID:         id,
-		Type:       "message",
-		Role:       "assistant",
-		Model:      r.Model,
-		Content:    content,
-		StopReason: stopReason,
-		Usage: Usage{
-			InputTokens:  r.Metrics.PromptEvalCount,
-			OutputTokens: r.Metrics.EvalCount,
-		},
-	}
-}
-
-// mapStopReason converts Ollama done_reason to Anthropic stop_reason
-func mapStopReason(reason string, hasToolCalls bool) string {
-	if hasToolCalls {
-		return "tool_use"
-	}
-
-	switch reason {
-	case "stop":
-		return "end_turn"
-	case "length":
-		return "max_tokens"
-	default:
-		if reason != "" {
-			return "stop_sequence"
-		}
-		return ""
-	}
-}
-
-// StreamConverter manages state for converting Ollama streaming responses to Anthropic format
-type StreamConverter struct {
-	ID              string
-	Model           string
-	firstWrite      bool
-	contentIndex    int
-	inputTokens     int
-	outputTokens    int
-	thinkingStarted bool
-	thinkingDone    bool
-	textStarted     bool
-	toolCallsSent   map[string]bool
-}
-
-func NewStreamConverter(id, model string) *StreamConverter {
-	return &StreamConverter{
-		ID:            id,
-		Model:         model,
-		firstWrite:    true,
-		toolCallsSent: make(map[string]bool),
-	}
-}
-
-// StreamEvent represents a streaming event to be sent to the client
-type StreamEvent struct {
-	Event string
-	Data  any
-}
-
-// Process converts an Ollama ChatResponse to Anthropic streaming events
-func (c *StreamConverter) Process(r api.ChatResponse) []StreamEvent {
-	var events []StreamEvent
-
-	if c.firstWrite {
-		c.firstWrite = false
-		c.inputTokens = r.Metrics.PromptEvalCount
-
-		events = append(events, StreamEvent{
-			Event: "message_start",
-			Data: MessageStartEvent{
-				Type: "message_start",
-				Message: MessagesResponse{
-					ID:      c.ID,
-					Type:    "message",
-					Role:    "assistant",
-					Model:   c.Model,
-					Content: []ContentBlock{},
-					Usage: Usage{
-						InputTokens:  c.inputTokens,
-						OutputTokens: 0,
-					},
-				},
-			},
-		})
-	}
-
-	if r.Message.Thinking != "" && !c.thinkingDone {
-		if !c.thinkingStarted {
-			c.thinkingStarted = true
-			events = append(events, StreamEvent{
-				Event: "content_block_start",
-				Data: ContentBlockStartEvent{
-					Type:  "content_block_start",
-					Index: c.contentIndex,
-					ContentBlock: ContentBlock{
-						Type:     "thinking",
-						Thinking: ptr(""),
-					},
-				},
-			})
-		}
-
-		events = append(events, StreamEvent{
-			Event: "content_block_delta",
-			Data: ContentBlockDeltaEvent{
-				Type:  "content_block_delta",
-				Index: c.contentIndex,
-				Delta: Delta{
-					Type:     "thinking_delta",
-					Thinking: r.Message.Thinking,
-				},
-			},
-		})
-	}
-
-	if r.Message.Content != "" {
-		if c.thinkingStarted && !c.thinkingDone {
-			c.thinkingDone = true
-			events = append(events, StreamEvent{
-				Event: "content_block_stop",
-				Data: ContentBlockStopEvent{
-					Type:  "content_block_stop",
-					Index: c.contentIndex,
-				},
-			})
-			c.contentIndex++
-		}
-
-		if !c.textStarted {
-			c.textStarted = true
-			events = append(events, StreamEvent{
-				Event: "content_block_start",
-				Data: ContentBlockStartEvent{
-					Type:  "content_block_start",
-					Index: c.contentIndex,
-					ContentBlock: ContentBlock{
-						Type: "text",
-						Text: ptr(""),
-					},
-				},
-			})
-		}
-
-		events = append(events, StreamEvent{
-			Event: "content_block_delta",
-			Data: ContentBlockDeltaEvent{
-				Type:  "content_block_delta",
-				Index: c.contentIndex,
-				Delta: Delta{
-					Type: "text_delta",
-					Text: r.Message.Content,
-				},
-			},
-		})
-	}
-
-	for _, tc := range r.Message.ToolCalls {
-		if c.toolCallsSent[tc.ID] {
-			continue
-		}
-
-		if c.textStarted {
-			events = append(events, StreamEvent{
-				Event: "content_block_stop",
-				Data: ContentBlockStopEvent{
-					Type:  "content_block_stop",
-					Index: c.contentIndex,
-				},
-			})
-			c.contentIndex++
-			c.textStarted = false
-		}
-
-		argsJSON, err := json.Marshal(tc.Function.Arguments)
-		if err != nil {
-			slog.Error("failed to marshal tool arguments", "error", err, "tool_id", tc.ID)
-			continue
-		}
-
-		events = append(events, StreamEvent{
-			Event: "content_block_start",
-			Data: ContentBlockStartEvent{
-				Type:  "content_block_start",
-				Index: c.contentIndex,
-				ContentBlock: ContentBlock{
-					Type:  "tool_use",
-					ID:    tc.ID,
-					Name:  tc.Function.Name,
-					Input: map[string]any{},
-				},
-			},
-		})
-
-		events = append(events, StreamEvent{
-			Event: "content_block_delta",
-			Data: ContentBlockDeltaEvent{
-				Type:  "content_block_delta",
-				Index: c.contentIndex,
-				Delta: Delta{
-					Type:        "input_json_delta",
-					PartialJSON: string(argsJSON),
-				},
-			},
-		})
-
-		events = append(events, StreamEvent{
-			Event: "content_block_stop",
-			Data: ContentBlockStopEvent{
-				Type:  "content_block_stop",
-				Index: c.contentIndex,
-			},
-		})
-
-		c.toolCallsSent[tc.ID] = true
-		c.contentIndex++
-	}
-
-	if r.Done {
-		if c.textStarted {
-			events = append(events, StreamEvent{
-				Event: "content_block_stop",
-				Data: ContentBlockStopEvent{
-					Type:  "content_block_stop",
-					Index: c.contentIndex,
-				},
-			})
-		} else if c.thinkingStarted && !c.thinkingDone {
-			events = append(events, StreamEvent{
-				Event: "content_block_stop",
-				Data: ContentBlockStopEvent{
-					Type:  "content_block_stop",
-					Index: c.contentIndex,
-				},
-			})
-		}
-
-		c.outputTokens = r.Metrics.EvalCount
-		stopReason := mapStopReason(r.DoneReason, len(c.toolCallsSent) > 0)
-
-		events = append(events, StreamEvent{
-			Event: "message_delta",
-			Data: MessageDeltaEvent{
-				Type: "message_delta",
-				Delta: MessageDelta{
-					StopReason: stopReason,
-				},
-				Usage: DeltaUsage{
-					OutputTokens: c.outputTokens,
-				},
-			},
-		})
-
-		events = append(events, StreamEvent{
-			Event: "message_stop",
-			Data: MessageStopEvent{
-				Type: "message_stop",
-			},
-		})
-	}
-
-	return events
-}
-
-// generateID generates a unique ID with the given prefix using crypto/rand
-func generateID(prefix string) string {
-	b := make([]byte, 12)
-	if _, err := rand.Read(b); err != nil {
-		// Fallback to time-based ID if crypto/rand fails
-		return fmt.Sprintf("%s_%d", prefix, time.Now().UnixNano())
-	}
-	return fmt.Sprintf("%s_%x", prefix, b)
-}
-
-// GenerateMessageID generates a unique message ID
-func GenerateMessageID() string {
-	return generateID("msg")
-}
-
-// ptr returns a pointer to the given string value
-func ptr(s string) *string {
-	return &s
-}
-
-// mapToArgs converts a map to ToolCallFunctionArguments
-func mapToArgs(m map[string]any) api.ToolCallFunctionArguments {
-	args := api.NewToolCallFunctionArguments()
-	for k, v := range m {
-		args.Set(k, v)
-	}
-	return args
-}

anthropic/anthropic_test.go

@@ -1,953 +0,0 @@
-package anthropic
-
-import (
-	"encoding/base64"
-	"encoding/json"
-	"testing"
-
-	"github.com/google/go-cmp/cmp"
-
-	"github.com/ollama/ollama/api"
-)
-
-const (
-	testImage = `iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNk+A8AAQUBAScY42YAAAAASUVORK5CYII=`
-)
-
-// testArgs creates ToolCallFunctionArguments from a map (convenience function for tests)
-func testArgs(m map[string]any) api.ToolCallFunctionArguments {
-	args := api.NewToolCallFunctionArguments()
-	for k, v := range m {
-		args.Set(k, v)
-	}
-	return args
-}
-
-func TestFromMessagesRequest_Basic(t *testing.T) {
-	req := MessagesRequest{
-		Model:     "test-model",
-		MaxTokens: 1024,
-		Messages: []MessageParam{
-			{Role: "user", Content: "Hello"},
-		},
-	}
-
-	result, err := FromMessagesRequest(req)
-	if err != nil {
-		t.Fatalf("unexpected error: %v", err)
-	}
-
-	if result.Model != "test-model" {
-		t.Errorf("expected model 'test-model', got %q", result.Model)
-	}
-
-	if len(result.Messages) != 1 {
-		t.Fatalf("expected 1 message, got %d", len(result.Messages))
-	}
-
-	if result.Messages[0].Role != "user" || result.Messages[0].Content != "Hello" {
-		t.Errorf("unexpected message: %+v", result.Messages[0])
-	}
-
-	if numPredict, ok := result.Options["num_predict"].(int); !ok || numPredict != 1024 {
-		t.Errorf("expected num_predict 1024, got %v", result.Options["num_predict"])
-	}
-}
-
-func TestFromMessagesRequest_WithSystemPrompt(t *testing.T) {
-	req := MessagesRequest{
-		Model:     "test-model",
-		MaxTokens: 1024,
-		System:    "You are a helpful assistant.",
-		Messages: []MessageParam{
-			{Role: "user", Content: "Hello"},
-		},
-	}
-
-	result, err := FromMessagesRequest(req)
-	if err != nil {
-		t.Fatalf("unexpected error: %v", err)
-	}
-
-	if len(result.Messages) != 2 {
-		t.Fatalf("expected 2 messages, got %d", len(result.Messages))
-	}
-
-	if result.Messages[0].Role != "system" || result.Messages[0].Content != "You are a helpful assistant." {
-		t.Errorf("unexpected system message: %+v", result.Messages[0])
-	}
-}
-
-func TestFromMessagesRequest_WithSystemPromptArray(t *testing.T) {
-	req := MessagesRequest{
-		Model:     "test-model",
-		MaxTokens: 1024,
-		System: []any{
-			map[string]any{"type": "text", "text": "You are helpful."},
-			map[string]any{"type": "text", "text": " Be concise."},
-		},
-		Messages: []MessageParam{
-			{Role: "user", Content: "Hello"},
-		},
-	}
-
-	result, err := FromMessagesRequest(req)
-	if err != nil {
-		t.Fatalf("unexpected error: %v", err)
-	}
-
-	if len(result.Messages) != 2 {
-		t.Fatalf("expected 2 messages, got %d", len(result.Messages))
-	}
-
-	if result.Messages[0].Content != "You are helpful. Be concise." {
-		t.Errorf("unexpected system message content: %q", result.Messages[0].Content)
-	}
-}
-
-func TestFromMessagesRequest_WithOptions(t *testing.T) {
-	temp := 0.7
-	topP := 0.9
-	topK := 40
-	req := MessagesRequest{
-		Model:         "test-model",
-		MaxTokens:     2048,
-		Messages:      []MessageParam{{Role: "user", Content: "Hello"}},
-		Temperature:   &temp,
-		TopP:          &topP,
-		TopK:          &topK,
-		StopSequences: []string{"\n", "END"},
-	}
-
-	result, err := FromMessagesRequest(req)
-	if err != nil {
-		t.Fatalf("unexpected error: %v", err)
-	}
-
-	if result.Options["temperature"] != 0.7 {
-		t.Errorf("expected temperature 0.7, got %v", result.Options["temperature"])
-	}
-	if result.Options["top_p"] != 0.9 {
-		t.Errorf("expected top_p 0.9, got %v", result.Options["top_p"])
-	}
-	if result.Options["top_k"] != 40 {
-		t.Errorf("expected top_k 40, got %v", result.Options["top_k"])
-	}
-	if diff := cmp.Diff([]string{"\n", "END"}, result.Options["stop"]); diff != "" {
-		t.Errorf("stop sequences mismatch: %s", diff)
-	}
-}
-
-func TestFromMessagesRequest_WithImage(t *testing.T) {
-	imgData, _ := base64.StdEncoding.DecodeString(testImage)
-
-	req := MessagesRequest{
-		Model:     "test-model",
-		MaxTokens: 1024,
-		Messages: []MessageParam{
-			{
-				Role: "user",
-				Content: []any{
-					map[string]any{"type": "text", "text": "What's in this image?"},
-					map[string]any{
-						"type": "image",
-						"source": map[string]any{
-							"type":       "base64",
-							"media_type": "image/png",
-							"data":       testImage,
-						},
-					},
-				},
-			},
-		},
-	}
-
-	result, err := FromMessagesRequest(req)
-	if err != nil {
-		t.Fatalf("unexpected error: %v", err)
-	}
-
-	if len(result.Messages) != 1 {
-		t.Fatalf("expected 1 message, got %d", len(result.Messages))
-	}
-
-	if result.Messages[0].Content != "What's in this image?" {
-		t.Errorf("expected content 'What's in this image?', got %q", result.Messages[0].Content)
-	}
-
-	if len(result.Messages[0].Images) != 1 {
-		t.Fatalf("expected 1 image, got %d", len(result.Messages[0].Images))
-	}
-
-	if string(result.Messages[0].Images[0]) != string(imgData) {
-		t.Error("image data mismatch")
-	}
-}
-
-func TestFromMessagesRequest_WithToolUse(t *testing.T) {
-	req := MessagesRequest{
-		Model:     "test-model",
-		MaxTokens: 1024,
-		Messages: []MessageParam{
-			{Role: "user", Content: "What's the weather in Paris?"},
-			{
-				Role: "assistant",
-				Content: []any{
-					map[string]any{
-						"type":  "tool_use",
-						"id":    "call_123",
-						"name":  "get_weather",
-						"input": map[string]any{"location": "Paris"},
-					},
-				},
-			},
-		},
-	}
-
-	result, err := FromMessagesRequest(req)
-	if err != nil {
-		t.Fatalf("unexpected error: %v", err)
-	}
-
-	if len(result.Messages) != 2 {
-		t.Fatalf("expected 2 messages, got %d", len(result.Messages))
-	}
-
-	if len(result.Messages[1].ToolCalls) != 1 {
-		t.Fatalf("expected 1 tool call, got %d", len(result.Messages[1].ToolCalls))
-	}
-
-	tc := result.Messages[1].ToolCalls[0]
-	if tc.ID != "call_123" {
-		t.Errorf("expected tool call ID 'call_123', got %q", tc.ID)
-	}
-	if tc.Function.Name != "get_weather" {
-		t.Errorf("expected tool name 'get_weather', got %q", tc.Function.Name)
-	}
-}
-
-func TestFromMessagesRequest_WithToolResult(t *testing.T) {
-	req := MessagesRequest{
-		Model:     "test-model",
-		MaxTokens: 1024,
-		Messages: []MessageParam{
-			{
-				Role: "user",
-				Content: []any{
-					map[string]any{
-						"type":        "tool_result",
-						"tool_use_id": "call_123",
-						"content":     "The weather in Paris is sunny, 22°C",
-					},
-				},
-			},
-		},
-	}
-
-	result, err := FromMessagesRequest(req)
-	if err != nil {
-		t.Fatalf("unexpected error: %v", err)
-	}
-
-	if len(result.Messages) != 1 {
-		t.Fatalf("expected 1 message, got %d", len(result.Messages))
-	}
-
-	msg := result.Messages[0]
-	if msg.Role != "tool" {
-		t.Errorf("expected role 'tool', got %q", msg.Role)
-	}
-	if msg.ToolCallID != "call_123" {
-		t.Errorf("expected tool_call_id 'call_123', got %q", msg.ToolCallID)
-	}
-	if msg.Content != "The weather in Paris is sunny, 22°C" {
-		t.Errorf("unexpected content: %q", msg.Content)
-	}
-}
-
-func TestFromMessagesRequest_WithTools(t *testing.T) {
-	req := MessagesRequest{
-		Model:     "test-model",
-		MaxTokens: 1024,
-		Messages:  []MessageParam{{Role: "user", Content: "Hello"}},
-		Tools: []Tool{
-			{
-				Name:        "get_weather",
-				Description: "Get current weather",
-				InputSchema: json.RawMessage(`{"type":"object","properties":{"location":{"type":"string"}},"required":["location"]}`),
-			},
-		},
-	}
-
-	result, err := FromMessagesRequest(req)
-	if err != nil {
-		t.Fatalf("unexpected error: %v", err)
-	}
-
-	if len(result.Tools) != 1 {
-		t.Fatalf("expected 1 tool, got %d", len(result.Tools))
-	}
-
-	tool := result.Tools[0]
-	if tool.Type != "function" {
-		t.Errorf("expected type 'function', got %q", tool.Type)
-	}
-	if tool.Function.Name != "get_weather" {
-		t.Errorf("expected name 'get_weather', got %q", tool.Function.Name)
-	}
-	if tool.Function.Description != "Get current weather" {
-		t.Errorf("expected description 'Get current weather', got %q", tool.Function.Description)
-	}
-}
-
-func TestFromMessagesRequest_WithThinking(t *testing.T) {
-	req := MessagesRequest{
-		Model:     "test-model",
-		MaxTokens: 1024,
-		Messages:  []MessageParam{{Role: "user", Content: "Hello"}},
-		Thinking:  &ThinkingConfig{Type: "enabled", BudgetTokens: 1000},
-	}
-
-	result, err := FromMessagesRequest(req)
-	if err != nil {
-		t.Fatalf("unexpected error: %v", err)
-	}
-
-	if result.Think == nil {
-		t.Fatal("expected Think to be set")
-	}
-	if v, ok := result.Think.Value.(bool); !ok || !v {
-		t.Errorf("expected Think.Value to be true, got %v", result.Think.Value)
-	}
-}
-
-// TestFromMessagesRequest_ThinkingOnlyBlock verifies that messages containing only
-// a thinking block (no text, images, or tool calls) are preserved and not dropped.
-func TestFromMessagesRequest_ThinkingOnlyBlock(t *testing.T) {
-	req := MessagesRequest{
-		Model:     "test-model",
-		MaxTokens: 1024,
-		Messages: []MessageParam{
-			{Role: "user", Content: "Hello"},
-			{
-				Role: "assistant",
-				Content: []any{
-					map[string]any{
-						"type":     "thinking",
-						"thinking": "Let me think about this...",
-					},
-				},
-			},
-		},
-	}
-
-	result, err := FromMessagesRequest(req)
-	if err != nil {
-		t.Fatalf("unexpected error: %v", err)
-	}
-
-	if len(result.Messages) != 2 {
-		t.Fatalf("expected 2 messages, got %d", len(result.Messages))
-	}
-
-	assistantMsg := result.Messages[1]
-	if assistantMsg.Thinking != "Let me think about this..." {
-		t.Errorf("expected thinking content, got %q", assistantMsg.Thinking)
-	}
-}
-
-func TestFromMessagesRequest_ToolUseMissingID(t *testing.T) {
-	req := MessagesRequest{
-		Model:     "test-model",
-		MaxTokens: 1024,
-		Messages: []MessageParam{
-			{
-				Role: "assistant",
-				Content: []any{
-					map[string]any{
-						"type": "tool_use",
-						"name": "get_weather",
-					},
-				},
-			},
-		},
-	}
-
-	_, err := FromMessagesRequest(req)
-	if err == nil {
-		t.Fatal("expected error for missing tool_use id")
-	}
-	if err.Error() != "tool_use block missing required 'id' field" {
-		t.Errorf("unexpected error message: %v", err)
-	}
-}
-
-func TestFromMessagesRequest_ToolUseMissingName(t *testing.T) {
-	req := MessagesRequest{
-		Model:     "test-model",
-		MaxTokens: 1024,
-		Messages: []MessageParam{
-			{
-				Role: "assistant",
-				Content: []any{
-					map[string]any{
-						"type": "tool_use",
-						"id":   "call_123",
-					},
-				},
-			},
-		},
-	}
-
-	_, err := FromMessagesRequest(req)
-	if err == nil {
-		t.Fatal("expected error for missing tool_use name")
-	}
-	if err.Error() != "tool_use block missing required 'name' field" {
-		t.Errorf("unexpected error message: %v", err)
-	}
-}
-
-func TestFromMessagesRequest_InvalidToolSchema(t *testing.T) {
-	req := MessagesRequest{
-		Model:     "test-model",
-		MaxTokens: 1024,
-		Messages:  []MessageParam{{Role: "user", Content: "Hello"}},
-		Tools: []Tool{
-			{
-				Name:        "bad_tool",
-				InputSchema: json.RawMessage(`{invalid json`),
-			},
-		},
-	}
-
-	_, err := FromMessagesRequest(req)
-	if err == nil {
-		t.Fatal("expected error for invalid tool schema")
-	}
-}
-
-func TestToMessagesResponse_Basic(t *testing.T) {
-	resp := api.ChatResponse{
-		Model: "test-model",
-		Message: api.Message{
-			Role:    "assistant",
-			Content: "Hello there!",
-		},
-		Done:       true,
-		DoneReason: "stop",
-		Metrics: api.Metrics{
-			PromptEvalCount: 10,
-			EvalCount:       5,
-		},
-	}
-
-	result := ToMessagesResponse("msg_123", resp)
-
-	if result.ID != "msg_123" {
-		t.Errorf("expected ID 'msg_123', got %q", result.ID)
-	}
-	if result.Type != "message" {
-		t.Errorf("expected type 'message', got %q", result.Type)
-	}
-	if result.Role != "assistant" {
-		t.Errorf("expected role 'assistant', got %q", result.Role)
-	}
-	if len(result.Content) != 1 {
-		t.Fatalf("expected 1 content block, got %d", len(result.Content))
-	}
-	if result.Content[0].Type != "text" || result.Content[0].Text == nil || *result.Content[0].Text != "Hello there!" {
-		t.Errorf("unexpected content: %+v", result.Content[0])
-	}
-	if result.StopReason != "end_turn" {
-		t.Errorf("expected stop_reason 'end_turn', got %q", result.StopReason)
-	}
-	if result.Usage.InputTokens != 10 || result.Usage.OutputTokens != 5 {
-		t.Errorf("unexpected usage: %+v", result.Usage)
-	}
-}
-
-func TestToMessagesResponse_WithToolCalls(t *testing.T) {
-	resp := api.ChatResponse{
-		Model: "test-model",
-		Message: api.Message{
-			Role: "assistant",
-			ToolCalls: []api.ToolCall{
-				{
-					ID: "call_123",
-					Function: api.ToolCallFunction{
-						Name:      "get_weather",
-						Arguments: testArgs(map[string]any{"location": "Paris"}),
-					},
-				},
-			},
-		},
-		Done:       true,
-		DoneReason: "stop",
-	}
-
-	result := ToMessagesResponse("msg_123", resp)
-
-	if len(result.Content) != 1 {
-		t.Fatalf("expected 1 content block, got %d", len(result.Content))
-	}
-	if result.Content[0].Type != "tool_use" {
-		t.Errorf("expected type 'tool_use', got %q", result.Content[0].Type)
-	}
-	if result.Content[0].ID != "call_123" {
-		t.Errorf("expected ID 'call_123', got %q", result.Content[0].ID)
-	}
-	if result.Content[0].Name != "get_weather" {
-		t.Errorf("expected name 'get_weather', got %q", result.Content[0].Name)
-	}
-	if result.StopReason != "tool_use" {
-		t.Errorf("expected stop_reason 'tool_use', got %q", result.StopReason)
-	}
-}
-
-func TestToMessagesResponse_WithThinking(t *testing.T) {
-	resp := api.ChatResponse{
-		Model: "test-model",
-		Message: api.Message{
-			Role:     "assistant",
-			Content:  "The answer is 42.",
-			Thinking: "Let me think about this...",
-		},
-		Done:       true,
-		DoneReason: "stop",
-	}
-
-	result := ToMessagesResponse("msg_123", resp)
-
-	if len(result.Content) != 2 {
-		t.Fatalf("expected 2 content blocks, got %d", len(result.Content))
-	}
-	if result.Content[0].Type != "thinking" {
-		t.Errorf("expected first block type 'thinking', got %q", result.Content[0].Type)
-	}
-	if result.Content[0].Thinking == nil || *result.Content[0].Thinking != "Let me think about this..." {
-		t.Errorf("unexpected thinking content: %v", result.Content[0].Thinking)
-	}
-	if result.Content[1].Type != "text" {
-		t.Errorf("expected second block type 'text', got %q", result.Content[1].Type)
-	}
-}
-
-func TestMapStopReason(t *testing.T) {
-	tests := []struct {
-		reason       string
-		hasToolCalls bool
-		want         string
-	}{
-		{"stop", false, "end_turn"},
-		{"length", false, "max_tokens"},
-		{"stop", true, "tool_use"},
-		{"other", false, "stop_sequence"},
-		{"", false, ""},
-	}
-
-	for _, tt := range tests {
-		got := mapStopReason(tt.reason, tt.hasToolCalls)
-		if got != tt.want {
-			t.Errorf("mapStopReason(%q, %v) = %q, want %q", tt.reason, tt.hasToolCalls, got, tt.want)
-		}
-	}
-}
-
-func TestNewError(t *testing.T) {
-	tests := []struct {
-		code int
-		want string
-	}{
-		{400, "invalid_request_error"},
-		{401, "authentication_error"},
-		{403, "permission_error"},
-		{404, "not_found_error"},
-		{429, "rate_limit_error"},
-		{500, "api_error"},
-		{503, "overloaded_error"},
-		{529, "overloaded_error"},
-	}
-
-	for _, tt := range tests {
-		result := NewError(tt.code, "test message")
-		if result.Type != "error" {
-			t.Errorf("NewError(%d) type = %q, want 'error'", tt.code, result.Type)
-		}
-		if result.Error.Type != tt.want {
-			t.Errorf("NewError(%d) error.type = %q, want %q", tt.code, result.Error.Type, tt.want)
-		}
-		if result.Error.Message != "test message" {
-			t.Errorf("NewError(%d) message = %q, want 'test message'", tt.code, result.Error.Message)
-		}
-		if result.RequestID == "" {
-			t.Errorf("NewError(%d) request_id should not be empty", tt.code)
-		}
-	}
-}
-
-func TestGenerateMessageID(t *testing.T) {
-	id1 := GenerateMessageID()
-	id2 := GenerateMessageID()
-
-	if id1 == "" {
-		t.Error("GenerateMessageID returned empty string")
-	}
-	if id1 == id2 {
-		t.Error("GenerateMessageID returned duplicate IDs")
-	}
-	if len(id1) < 10 {
-		t.Errorf("GenerateMessageID returned short ID: %q", id1)
-	}
-	if id1[:4] != "msg_" {
-		t.Errorf("GenerateMessageID should start with 'msg_', got %q", id1[:4])
-	}
-}
-
-func TestStreamConverter_Basic(t *testing.T) {
-	conv := NewStreamConverter("msg_123", "test-model")
-
-	// First chunk
-	resp1 := api.ChatResponse{
-		Model: "test-model",
-		Message: api.Message{
-			Role:    "assistant",
-			Content: "Hello",
-		},
-		Metrics: api.Metrics{PromptEvalCount: 10},
-	}
-
-	events1 := conv.Process(resp1)
-	if len(events1) < 3 {
-		t.Fatalf("expected at least 3 events for first chunk, got %d", len(events1))
-	}
-
-	// Should have message_start, content_block_start, content_block_delta
-	if events1[0].Event != "message_start" {
-		t.Errorf("expected first event 'message_start', got %q", events1[0].Event)
-	}
-	if events1[1].Event != "content_block_start" {
-		t.Errorf("expected second event 'content_block_start', got %q", events1[1].Event)
-	}
-	if events1[2].Event != "content_block_delta" {
-		t.Errorf("expected third event 'content_block_delta', got %q", events1[2].Event)
-	}
-
-	// Final chunk
-	resp2 := api.ChatResponse{
-		Model: "test-model",
-		Message: api.Message{
-			Role:    "assistant",
-			Content: " world!",
-		},
-		Done:       true,
-		DoneReason: "stop",
-		Metrics:    api.Metrics{EvalCount: 5},
-	}
-
-	events2 := conv.Process(resp2)
-
-	// Should have content_block_delta, content_block_stop, message_delta, message_stop
-	hasStop := false
-	for _, e := range events2 {
-		if e.Event == "message_stop" {
-			hasStop = true
-		}
-	}
-	if !hasStop {
-		t.Error("expected message_stop event in final chunk")
-	}
-}
-
-func TestStreamConverter_WithToolCalls(t *testing.T) {
-	conv := NewStreamConverter("msg_123", "test-model")
-
-	resp := api.ChatResponse{
-		Model: "test-model",
-		Message: api.Message{
-			Role: "assistant",
-			ToolCalls: []api.ToolCall{
-				{
-					ID: "call_123",
-					Function: api.ToolCallFunction{
-						Name:      "get_weather",
-						Arguments: testArgs(map[string]any{"location": "Paris"}),
-					},
-				},
-			},
-		},
-		Done:       true,
-		DoneReason: "stop",
-		Metrics:    api.Metrics{PromptEvalCount: 10, EvalCount: 5},
-	}
-
-	events := conv.Process(resp)
-
-	hasToolStart := false
-	hasToolDelta := false
-	for _, e := range events {
-		if e.Event == "content_block_start" {
-			if start, ok := e.Data.(ContentBlockStartEvent); ok {
-				if start.ContentBlock.Type == "tool_use" {
-					hasToolStart = true
-				}
-			}
-		}
-		if e.Event == "content_block_delta" {
-			if delta, ok := e.Data.(ContentBlockDeltaEvent); ok {
-				if delta.Delta.Type == "input_json_delta" {
-					hasToolDelta = true
-				}
-			}
-		}
-	}
-
-	if !hasToolStart {
-		t.Error("expected tool_use content_block_start event")
-	}
-	if !hasToolDelta {
-		t.Error("expected input_json_delta event")
-	}
-}
-
-func TestStreamConverter_ToolCallWithUnmarshalableArgs(t *testing.T) {
-	// Test that unmarshalable arguments (like channels) are handled gracefully
-	// and don't cause a panic or corrupt stream
-	conv := NewStreamConverter("msg_123", "test-model")
-
-	// Create a channel which cannot be JSON marshaled
-	unmarshalable := make(chan int)
-	badArgs := api.NewToolCallFunctionArguments()
-	badArgs.Set("channel", unmarshalable)
-
-	resp := api.ChatResponse{
-		Model: "test-model",
-		Message: api.Message{
-			Role: "assistant",
-			ToolCalls: []api.ToolCall{
-				{
-					ID: "call_bad",
-					Function: api.ToolCallFunction{
-						Name:      "bad_function",
-						Arguments: badArgs,
-					},
-				},
-			},
-		},
-		Done:       true,
-		DoneReason: "stop",
-	}
-
-	// Should not panic and should skip the unmarshalable tool call
-	events := conv.Process(resp)
-
-	// Verify no tool_use block was started (since marshal failed before block start)
-	hasToolStart := false
-	for _, e := range events {
-		if e.Event == "content_block_start" {
-			if start, ok := e.Data.(ContentBlockStartEvent); ok {
-				if start.ContentBlock.Type == "tool_use" {
-					hasToolStart = true
-				}
-			}
-		}
-	}
-
-	if hasToolStart {
-		t.Error("expected no tool_use block when arguments cannot be marshaled")
-	}
-}
-
-func TestStreamConverter_MultipleToolCallsWithMixedValidity(t *testing.T) {
-	// Test that valid tool calls still work when mixed with invalid ones
-	conv := NewStreamConverter("msg_123", "test-model")
-
-	unmarshalable := make(chan int)
-	badArgs := api.NewToolCallFunctionArguments()
-	badArgs.Set("channel", unmarshalable)
-
-	resp := api.ChatResponse{
-		Model: "test-model",
-		Message: api.Message{
-			Role: "assistant",
-			ToolCalls: []api.ToolCall{
-				{
-					ID: "call_good",
-					Function: api.ToolCallFunction{
-						Name:      "good_function",
-						Arguments: testArgs(map[string]any{"location": "Paris"}),
-					},
-				},
-				{
-					ID: "call_bad",
-					Function: api.ToolCallFunction{
-						Name:      "bad_function",
-						Arguments: badArgs,
-					},
-				},
-			},
-		},
-		Done:       true,
-		DoneReason: "stop",
-	}
-
-	events := conv.Process(resp)
-
-	// Count tool_use blocks - should only have 1 (the valid one)
-	toolStartCount := 0
-	toolDeltaCount := 0
-	for _, e := range events {
-		if e.Event == "content_block_start" {
-			if start, ok := e.Data.(ContentBlockStartEvent); ok {
-				if start.ContentBlock.Type == "tool_use" {
-					toolStartCount++
-					if start.ContentBlock.Name != "good_function" {
-						t.Errorf("expected tool name 'good_function', got %q", start.ContentBlock.Name)
-					}
-				}
-			}
-		}
-		if e.Event == "content_block_delta" {
-			if delta, ok := e.Data.(ContentBlockDeltaEvent); ok {
-				if delta.Delta.Type == "input_json_delta" {
-					toolDeltaCount++
-				}
-			}
-		}
-	}
-
-	if toolStartCount != 1 {
-		t.Errorf("expected 1 tool_use block, got %d", toolStartCount)
-	}
-	if toolDeltaCount != 1 {
-		t.Errorf("expected 1 input_json_delta, got %d", toolDeltaCount)
-	}
-}
-
-// TestContentBlockJSON_EmptyFieldsPresent verifies that empty text and thinking fields
-// are serialized in JSON output. The Anthropic SDK requires these fields to be present
-// (even when empty) in content_block_start events to properly accumulate streaming deltas.
-// Without these fields, the SDK throws: "TypeError: unsupported operand type(s) for +=: 'NoneType' and 'str'"
-func TestContentBlockJSON_EmptyFieldsPresent(t *testing.T) {
-	tests := []struct {
-		name     string
-		block    ContentBlock
-		wantKeys []string
-	}{
-		{
-			name: "text block includes empty text field",
-			block: ContentBlock{
-				Type: "text",
-				Text: ptr(""),
-			},
-			wantKeys: []string{"type", "text"},
-		},
-		{
-			name: "thinking block includes empty thinking field",
-			block: ContentBlock{
-				Type:     "thinking",
-				Thinking: ptr(""),
-			},
-			wantKeys: []string{"type", "thinking"},
-		},
-		{
-			name: "text block with content",
-			block: ContentBlock{
-				Type: "text",
-				Text: ptr("hello"),
-			},
-			wantKeys: []string{"type", "text"},
-		},
-	}
-
-	for _, tt := range tests {
-		t.Run(tt.name, func(t *testing.T) {
-			data, err := json.Marshal(tt.block)
-			if err != nil {
-				t.Fatalf("failed to marshal: %v", err)
-			}
-
-			var result map[string]any
-			if err := json.Unmarshal(data, &result); err != nil {
-				t.Fatalf("failed to unmarshal: %v", err)
-			}
-
-			for _, key := range tt.wantKeys {
-				if _, ok := result[key]; !ok {
-					t.Errorf("expected key %q to be present in JSON output, got: %s", key, string(data))
-				}
-			}
-		})
-	}
-}
-
-// TestStreamConverter_ContentBlockStartIncludesEmptyFields verifies that content_block_start
-// events include the required empty fields for SDK compatibility.
-func TestStreamConverter_ContentBlockStartIncludesEmptyFields(t *testing.T) {
-	t.Run("text block start includes empty text", func(t *testing.T) {
-		conv := NewStreamConverter("msg_123", "test-model")
-
-		resp := api.ChatResponse{
-			Model:   "test-model",
-			Message: api.Message{Role: "assistant", Content: "hello"},
-		}
-
-		events := conv.Process(resp)
-
-		var foundTextStart bool
-		for _, e := range events {
-			if e.Event == "content_block_start" {
-				if start, ok := e.Data.(ContentBlockStartEvent); ok {
-					if start.ContentBlock.Type == "text" {
-						foundTextStart = true
-						// Marshal and verify the text field is present
-						data, _ := json.Marshal(start)
-						var result map[string]any
-						json.Unmarshal(data, &result)
-						cb := result["content_block"].(map[string]any)
-						if _, ok := cb["text"]; !ok {
-							t.Error("content_block_start for text should include 'text' field")
-						}
-					}
-				}
-			}
-		}
-
-		if !foundTextStart {
-			t.Error("expected text content_block_start event")
-		}
-	})
-
-	t.Run("thinking block start includes empty thinking", func(t *testing.T) {
-		conv := NewStreamConverter("msg_123", "test-model")
-
-		resp := api.ChatResponse{
-			Model:   "test-model",
-			Message: api.Message{Role: "assistant", Thinking: "let me think..."},
-		}
-
-		events := conv.Process(resp)
-
-		var foundThinkingStart bool
-		for _, e := range events {
-			if e.Event == "content_block_start" {
-				if start, ok := e.Data.(ContentBlockStartEvent); ok {
-					if start.ContentBlock.Type == "thinking" {
-						foundThinkingStart = true
-						data, _ := json.Marshal(start)
-						var result map[string]any
-						json.Unmarshal(data, &result)
-						cb := result["content_block"].(map[string]any)
-						if _, ok := cb["thinking"]; !ok {
-							t.Error("content_block_start for thinking should include 'thinking' field")
-						}
-					}
-				}
-			}
-		}
-
-		if !foundThinkingStart {
-			t.Error("expected thinking content_block_start event")
-		}
-	})
-}

api/client.go

@@ -165,7 +165,7 @@ func (c *Client) do(ctx context.Context, method, path string, reqData, respData
 	return nil
 }
 
-const maxBufferSize = 8 * format.MegaByte
+const maxBufferSize = 512 * format.KiloByte
 
 func (c *Client) stream(ctx context.Context, method, path string, data any, fn func([]byte) error) error {
 	var buf io.Reader
@@ -226,14 +226,7 @@ func (c *Client) stream(ctx context.Context, method, path string, data any, fn f
 
 		bts := scanner.Bytes()
 		if err := json.Unmarshal(bts, &errorResponse); err != nil {
-			if response.StatusCode >= http.StatusBadRequest {
+			return fmt.Errorf("unmarshal: %w", err)
-				return StatusError{
-					StatusCode:   response.StatusCode,
-					Status:       response.Status,
-					ErrorMessage: string(bts),
-				}
-			}
-			return errors.New(string(bts))
 		}
 
 		if response.StatusCode == http.StatusUnauthorized {
@@ -347,7 +340,7 @@ type CreateProgressFunc func(ProgressResponse) error
 // Create creates a model from a [Modelfile]. fn is a progress function that
 // behaves similarly to other methods (see [Client.Pull]).
 //
-// [Modelfile]: https://github.com/ollama/ollama/blob/main/docs/modelfile.mdx
+// [Modelfile]: https://github.com/ollama/ollama/blob/main/docs/modelfile.md
 func (c *Client) Create(ctx context.Context, req *CreateRequest, fn CreateProgressFunc) error {
 	return c.stream(ctx, http.MethodPost, "/api/create", req, func(bts []byte) error {
 		var resp ProgressResponse

api/client_test.go

@@ -55,7 +55,6 @@ func TestClientFromEnvironment(t *testing.T) {
 type testError struct {
 	message    string
 	statusCode int
-	raw        bool // if true, write message as-is instead of JSON encoding
 }
 
 func (e testError) Error() string {
@@ -112,20 +111,6 @@ func TestClientStream(t *testing.T) {
 				},
 			},
 		},
-		{
-			name: "plain text error response",
-			responses: []any{
-				"internal server error",
-			},
-			wantErr: "internal server error",
-		},
-		{
-			name: "HTML error page",
-			responses: []any{
-				"<html><body>404 Not Found</body></html>",
-			},
-			wantErr: "404 Not Found",
-		},
 	}
 
 	for _, tc := range testCases {
@@ -150,12 +135,6 @@ func TestClientStream(t *testing.T) {
 						return
 					}
 
-					if str, ok := resp.(string); ok {
-						fmt.Fprintln(w, str)
-						flusher.Flush()
-						continue
-					}
-
 					if err := json.NewEncoder(w).Encode(resp); err != nil {
 						t.Fatalf("failed to encode response: %v", err)
 					}
@@ -197,7 +176,6 @@ func TestClientDo(t *testing.T) {
 		name     string
 		response any
 		wantErr  string
-		wantStatusCode int
 	}{
 		{
 			name: "immediate error response",
@@ -206,7 +184,6 @@ func TestClientDo(t *testing.T) {
 				statusCode: http.StatusBadRequest,
 			},
 			wantErr: "test error message",
-			wantStatusCode: http.StatusBadRequest,
 		},
 		{
 			name: "server error response",
@@ -215,7 +192,6 @@ func TestClientDo(t *testing.T) {
 				statusCode: http.StatusInternalServerError,
 			},
 			wantErr: "internal error",
-			wantStatusCode: http.StatusInternalServerError,
 		},
 		{
 			name: "successful response",
@@ -227,26 +203,6 @@ func TestClientDo(t *testing.T) {
 				Success: true,
 			},
 		},
-		{
-			name: "plain text error response",
-			response: testError{
-				message:    "internal server error",
-				statusCode: http.StatusInternalServerError,
-				raw:        true,
-			},
-			wantErr:        "internal server error",
-			wantStatusCode: http.StatusInternalServerError,
-		},
-		{
-			name: "HTML error page",
-			response: testError{
-				message:    "<html><body>404 Not Found</body></html>",
-				statusCode: http.StatusNotFound,
-				raw:        true,
-			},
-			wantErr:        "<html><body>404 Not Found</body></html>",
-			wantStatusCode: http.StatusNotFound,
-		},
 	}
 
 	for _, tc := range testCases {
@@ -254,17 +210,12 @@ func TestClientDo(t *testing.T) {
 			ts := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
 				if errResp, ok := tc.response.(testError); ok {
 					w.WriteHeader(errResp.statusCode)
-					if !errResp.raw {
 					err := json.NewEncoder(w).Encode(map[string]string{
 						"error": errResp.message,
 					})
 					if err != nil {
 						t.Fatal("failed to encode error response:", err)
 					}
-					} else {
-						// Write raw message (simulates non-JSON error responses)
-						fmt.Fprint(w, errResp.message)
-					}
 					return
 				}
 
@@ -290,15 +241,6 @@ func TestClientDo(t *testing.T) {
 				if err.Error() != tc.wantErr {
 					t.Errorf("error message mismatch: got %q, want %q", err.Error(), tc.wantErr)
 				}
-				if tc.wantStatusCode != 0 {
-					if statusErr, ok := err.(StatusError); ok {
-						if statusErr.StatusCode != tc.wantStatusCode {
-							t.Errorf("status code mismatch: got %d, want %d", statusErr.StatusCode, tc.wantStatusCode)
-						}
-					} else {
-						t.Errorf("expected StatusError, got %T", err)
-					}
-				}
 				return
 			}
 

api/examples/chat/main.go

@@ -15,19 +15,19 @@ func main() {
 	}
 
 	messages := []api.Message{
-		{
+		api.Message{
 			Role:    "system",
 			Content: "Provide very brief, concise responses",
 		},
-		{
+		api.Message{
 			Role:    "user",
 			Content: "Name some unusual animals",
 		},
-		{
+		api.Message{
 			Role:    "assistant",
 			Content: "Monotreme, platypus, echidna",
 		},
-		{
+		api.Message{
 			Role:    "user",
 			Content: "which of these is the most dangerous?",
 		},

api/types.go

@@ -3,7 +3,6 @@ package api
 import (
 	"encoding/json"
 	"fmt"
-	"iter"
 	"log/slog"
 	"math"
 	"os"
@@ -15,7 +14,6 @@ import (
 	"github.com/google/uuid"
 
 	"github.com/ollama/ollama/envconfig"
-	"github.com/ollama/ollama/internal/orderedmap"
 	"github.com/ollama/ollama/types/model"
 )
 
@@ -119,14 +117,6 @@ type GenerateRequest struct {
 	// DebugRenderOnly is a debug option that, when set to true, returns the rendered
 	// template instead of calling the model.
 	DebugRenderOnly bool `json:"_debug_render_only,omitempty"`
-
-	// Logprobs specifies whether to return log probabilities of the output tokens.
-	Logprobs bool `json:"logprobs,omitempty"`
-
-	// TopLogprobs is the number of most likely tokens to return at each token position,
-	// each with an associated log probability. Only applies when Logprobs is true.
-	// Valid values are 0-20. Default is 0 (only return the selected token's logprob).
-	TopLogprobs int `json:"top_logprobs,omitempty"`
 }
 
 // ChatRequest describes a request sent by [Client.Chat].
@@ -169,14 +159,6 @@ type ChatRequest struct {
 	// DebugRenderOnly is a debug option that, when set to true, returns the rendered
 	// template instead of calling the model.
 	DebugRenderOnly bool `json:"_debug_render_only,omitempty"`
-
-	// Logprobs specifies whether to return log probabilities of the output tokens.
-	Logprobs bool `json:"logprobs,omitempty"`
-
-	// TopLogprobs is the number of most likely tokens to return at each token position,
-	// each with an associated log probability. Only applies when Logprobs is true.
-	// Valid values are 0-20. Default is 0 (only return the selected token's logprob).
-	TopLogprobs int `json:"top_logprobs,omitempty"`
 }
 
 type Tools []Tool
@@ -229,79 +211,13 @@ type ToolCallFunction struct {
 	Arguments ToolCallFunctionArguments `json:"arguments"`
 }
 
-// ToolCallFunctionArguments holds tool call arguments in insertion order.
+type ToolCallFunctionArguments map[string]any
-type ToolCallFunctionArguments struct {
-	om *orderedmap.Map[string, any]
-}
-
-// NewToolCallFunctionArguments creates a new empty ToolCallFunctionArguments.
-func NewToolCallFunctionArguments() ToolCallFunctionArguments {
-	return ToolCallFunctionArguments{om: orderedmap.New[string, any]()}
-}
-
-// Get retrieves a value by key.
-func (t *ToolCallFunctionArguments) Get(key string) (any, bool) {
-	if t == nil || t.om == nil {
-		return nil, false
-	}
-	return t.om.Get(key)
-}
-
-// Set sets a key-value pair, preserving insertion order.
-func (t *ToolCallFunctionArguments) Set(key string, value any) {
-	if t == nil {
-		return
-	}
-	if t.om == nil {
-		t.om = orderedmap.New[string, any]()
-	}
-	t.om.Set(key, value)
-}
-
-// Len returns the number of arguments.
-func (t *ToolCallFunctionArguments) Len() int {
-	if t == nil || t.om == nil {
-		return 0
-	}
-	return t.om.Len()
-}
-
-// All returns an iterator over all key-value pairs in insertion order.
-func (t *ToolCallFunctionArguments) All() iter.Seq2[string, any] {
-	if t == nil || t.om == nil {
-		return func(yield func(string, any) bool) {}
-	}
-	return t.om.All()
-}
-
-// ToMap returns a regular map (order not preserved).
-func (t *ToolCallFunctionArguments) ToMap() map[string]any {
-	if t == nil || t.om == nil {
-		return nil
-	}
-	return t.om.ToMap()
-}
 
 func (t *ToolCallFunctionArguments) String() string {
-	if t == nil || t.om == nil {
+	bts, _ := json.Marshal(t)
-		return "{}"
-	}
-	bts, _ := json.Marshal(t.om)
 	return string(bts)
 }
 
-func (t *ToolCallFunctionArguments) UnmarshalJSON(data []byte) error {
-	t.om = orderedmap.New[string, any]()
-	return json.Unmarshal(data, t.om)
-}
-
-func (t ToolCallFunctionArguments) MarshalJSON() ([]byte, error) {
-	if t.om == nil {
-		return []byte("{}"), nil
-	}
-	return json.Marshal(t.om)
-}
-
 type Tool struct {
 	Type     string       `json:"type"`
 	Items    any          `json:"items,omitempty"`
@@ -350,78 +266,12 @@ func (pt PropertyType) String() string {
 	return fmt.Sprintf("%v", []string(pt))
 }
 
-// ToolPropertiesMap holds tool properties in insertion order.
-type ToolPropertiesMap struct {
-	om *orderedmap.Map[string, ToolProperty]
-}
-
-// NewToolPropertiesMap creates a new empty ToolPropertiesMap.
-func NewToolPropertiesMap() *ToolPropertiesMap {
-	return &ToolPropertiesMap{om: orderedmap.New[string, ToolProperty]()}
-}
-
-// Get retrieves a property by name.
-func (t *ToolPropertiesMap) Get(key string) (ToolProperty, bool) {
-	if t == nil || t.om == nil {
-		return ToolProperty{}, false
-	}
-	return t.om.Get(key)
-}
-
-// Set sets a property, preserving insertion order.
-func (t *ToolPropertiesMap) Set(key string, value ToolProperty) {
-	if t == nil {
-		return
-	}
-	if t.om == nil {
-		t.om = orderedmap.New[string, ToolProperty]()
-	}
-	t.om.Set(key, value)
-}
-
-// Len returns the number of properties.
-func (t *ToolPropertiesMap) Len() int {
-	if t == nil || t.om == nil {
-		return 0
-	}
-	return t.om.Len()
-}
-
-// All returns an iterator over all properties in insertion order.
-func (t *ToolPropertiesMap) All() iter.Seq2[string, ToolProperty] {
-	if t == nil || t.om == nil {
-		return func(yield func(string, ToolProperty) bool) {}
-	}
-	return t.om.All()
-}
-
-// ToMap returns a regular map (order not preserved).
-func (t *ToolPropertiesMap) ToMap() map[string]ToolProperty {
-	if t == nil || t.om == nil {
-		return nil
-	}
-	return t.om.ToMap()
-}
-
-func (t ToolPropertiesMap) MarshalJSON() ([]byte, error) {
-	if t.om == nil {
-		return []byte("null"), nil
-	}
-	return json.Marshal(t.om)
-}
-
-func (t *ToolPropertiesMap) UnmarshalJSON(data []byte) error {
-	t.om = orderedmap.New[string, ToolProperty]()
-	return json.Unmarshal(data, t.om)
-}
-
 type ToolProperty struct {
 	AnyOf       []ToolProperty `json:"anyOf,omitempty"`
 	Type        PropertyType   `json:"type,omitempty"`
 	Items       any            `json:"items,omitempty"`
 	Description string         `json:"description,omitempty"`
 	Enum        []any          `json:"enum,omitempty"`
-	Properties  *ToolPropertiesMap `json:"properties,omitempty"`
 }
 
 // ToTypeScriptType converts a ToolProperty to a TypeScript type string
@@ -474,7 +324,7 @@ type ToolFunctionParameters struct {
 	Defs       any                     `json:"$defs,omitempty"`
 	Items      any                     `json:"items,omitempty"`
 	Required   []string                `json:"required,omitempty"`
-	Properties *ToolPropertiesMap `json:"properties"`
+	Properties map[string]ToolProperty `json:"properties"`
 }
 
 func (t *ToolFunctionParameters) String() string {
@@ -493,27 +343,6 @@ func (t *ToolFunction) String() string {
 	return string(bts)
 }
 
-// TokenLogprob represents log probability information for a single token alternative.
-type TokenLogprob struct {
-	// Token is the text representation of the token.
-	Token string `json:"token"`
-
-	// Logprob is the log probability of this token.
-	Logprob float64 `json:"logprob"`
-
-	// Bytes contains the raw byte representation of the token
-	Bytes []int `json:"bytes,omitempty"`
-}
-
-// Logprob contains log probability information for a generated token.
-type Logprob struct {
-	TokenLogprob
-
-	// TopLogprobs contains the most likely tokens and their log probabilities
-	// at this position, if requested via TopLogprobs parameter.
-	TopLogprobs []TokenLogprob `json:"top_logprobs,omitempty"`
-}
-
 // ChatResponse is the response returned by [Client.Chat]. Its fields are
 // similar to [GenerateResponse].
 type ChatResponse struct {
@@ -540,10 +369,6 @@ type ChatResponse struct {
 
 	DebugInfo *DebugInfo `json:"_debug_info,omitempty"`
 
-	// Logprobs contains log probability information for the generated tokens,
-	// if requested via the Logprobs parameter.
-	Logprobs []Logprob `json:"logprobs,omitempty"`
-
 	Metrics
 }
 
@@ -687,9 +512,6 @@ type CreateRequest struct {
 	Renderer string `json:"renderer,omitempty"`
 	Parser   string `json:"parser,omitempty"`
 
-	// Requires is the minimum version of Ollama required by the model.
-	Requires string `json:"requires,omitempty"`
-
 	// Info is a map of additional information for the model
 	Info map[string]any `json:"info,omitempty"`
 
@@ -740,7 +562,6 @@ type ShowResponse struct {
 	Tensors       []Tensor           `json:"tensors,omitempty"`
 	Capabilities  []model.Capability `json:"capabilities,omitempty"`
 	ModifiedAt    time.Time          `json:"modified_at,omitempty"`
-	Requires      string             `json:"requires,omitempty"`
 }
 
 // CopyRequest is the request passed to [Client.Copy].
@@ -856,10 +677,6 @@ type GenerateResponse struct {
 	ToolCalls []ToolCall `json:"tool_calls,omitempty"`
 
 	DebugInfo *DebugInfo `json:"_debug_info,omitempty"`
-
-	// Logprobs contains log probability information for the generated tokens,
-	// if requested via the Logprobs parameter.
-	Logprobs []Logprob `json:"logprobs,omitempty"`
 }
 
 // ModelDetails provides details about a model.

api/types_test.go

@@ -11,24 +11,6 @@ import (
 	"github.com/stretchr/testify/require"
 )
 
-// testPropsMap creates a ToolPropertiesMap from a map (convenience function for tests, order not preserved)
-func testPropsMap(m map[string]ToolProperty) *ToolPropertiesMap {
-	props := NewToolPropertiesMap()
-	for k, v := range m {
-		props.Set(k, v)
-	}
-	return props
-}
-
-// testArgs creates ToolCallFunctionArguments from a map (convenience function for tests, order not preserved)
-func testArgs(m map[string]any) ToolCallFunctionArguments {
-	args := NewToolCallFunctionArguments()
-	for k, v := range m {
-		args.Set(k, v)
-	}
-	return args
-}
-
 func TestKeepAliveParsingFromJSON(t *testing.T) {
 	tests := []struct {
 		name string
@@ -327,9 +309,9 @@ func TestToolFunctionParameters_MarshalJSON(t *testing.T) {
 			input: ToolFunctionParameters{
 				Type:     "object",
 				Required: []string{"name"},
-				Properties: testPropsMap(map[string]ToolProperty{
+				Properties: map[string]ToolProperty{
 					"name": {Type: PropertyType{"string"}},
-				}),
+				},
 			},
 			expected: `{"type":"object","required":["name"],"properties":{"name":{"type":"string"}}}`,
 		},
@@ -337,9 +319,9 @@ func TestToolFunctionParameters_MarshalJSON(t *testing.T) {
 			name: "no required",
 			input: ToolFunctionParameters{
 				Type: "object",
-				Properties: testPropsMap(map[string]ToolProperty{
+				Properties: map[string]ToolProperty{
 					"name": {Type: PropertyType{"string"}},
-				}),
+				},
 			},
 			expected: `{"type":"object","properties":{"name":{"type":"string"}}}`,
 		},
@@ -357,7 +339,7 @@ func TestToolFunctionParameters_MarshalJSON(t *testing.T) {
 func TestToolCallFunction_IndexAlwaysMarshals(t *testing.T) {
 	fn := ToolCallFunction{
 		Name:      "echo",
-		Arguments: testArgs(map[string]any{"message": "hi"}),
+		Arguments: ToolCallFunctionArguments{"message": "hi"},
 	}
 
 	data, err := json.Marshal(fn)
@@ -522,116 +504,6 @@ func TestThinking_UnmarshalJSON(t *testing.T) {
 	}
 }
 
-func TestToolPropertyNestedProperties(t *testing.T) {
-	tests := []struct {
-		name     string
-		input    string
-		expected ToolProperty
-	}{
-		{
-			name: "nested object properties",
-			input: `{
-				"type": "object",
-				"description": "Location details",
-				"properties": {
-					"address": {
-						"type": "string",
-						"description": "Street address"
-					},
-					"city": {
-						"type": "string",
-						"description": "City name"
-					}
-				}
-			}`,
-			expected: ToolProperty{
-				Type:        PropertyType{"object"},
-				Description: "Location details",
-				Properties: testPropsMap(map[string]ToolProperty{
-					"address": {
-						Type:        PropertyType{"string"},
-						Description: "Street address",
-					},
-					"city": {
-						Type:        PropertyType{"string"},
-						Description: "City name",
-					},
-				}),
-			},
-		},
-		{
-			name: "deeply nested properties",
-			input: `{
-				"type": "object",
-				"description": "Event",
-				"properties": {
-					"location": {
-						"type": "object",
-						"description": "Location",
-						"properties": {
-							"coordinates": {
-								"type": "object",
-								"description": "GPS coordinates",
-								"properties": {
-									"lat": {"type": "number", "description": "Latitude"},
-									"lng": {"type": "number", "description": "Longitude"}
-								}
-							}
-						}
-					}
-				}
-			}`,
-			expected: ToolProperty{
-				Type:        PropertyType{"object"},
-				Description: "Event",
-				Properties: testPropsMap(map[string]ToolProperty{
-					"location": {
-						Type:        PropertyType{"object"},
-						Description: "Location",
-						Properties: testPropsMap(map[string]ToolProperty{
-							"coordinates": {
-								Type:        PropertyType{"object"},
-								Description: "GPS coordinates",
-								Properties: testPropsMap(map[string]ToolProperty{
-									"lat": {Type: PropertyType{"number"}, Description: "Latitude"},
-									"lng": {Type: PropertyType{"number"}, Description: "Longitude"},
-								}),
-							},
-						}),
-					},
-				}),
-			},
-		},
-	}
-
-	for _, tt := range tests {
-		t.Run(tt.name, func(t *testing.T) {
-			var prop ToolProperty
-			err := json.Unmarshal([]byte(tt.input), &prop)
-			require.NoError(t, err)
-
-			// Compare JSON representations since pointer comparison doesn't work
-			expectedJSON, err := json.Marshal(tt.expected)
-			require.NoError(t, err)
-			actualJSON, err := json.Marshal(prop)
-			require.NoError(t, err)
-			assert.JSONEq(t, string(expectedJSON), string(actualJSON))
-
-			// Round-trip test: marshal and unmarshal again
-			data, err := json.Marshal(prop)
-			require.NoError(t, err)
-
-			var prop2 ToolProperty
-			err = json.Unmarshal(data, &prop2)
-			require.NoError(t, err)
-
-			prop2JSON, err := json.Marshal(prop2)
-			require.NoError(t, err)
-			assert.JSONEq(t, string(expectedJSON), string(prop2JSON))
-		})
-	}
-}
-
 func TestToolFunctionParameters_String(t *testing.T) {
 	tests := []struct {
 		name     string
@@ -643,12 +515,12 @@ func TestToolFunctionParameters_String(t *testing.T) {
 			params: ToolFunctionParameters{
 				Type:     "object",
 				Required: []string{"name"},
-				Properties: testPropsMap(map[string]ToolProperty{
+				Properties: map[string]ToolProperty{
 					"name": {
 						Type:        PropertyType{"string"},
 						Description: "The name of the person",
 					},
-				}),
+				},
 			},
 			expected: `{"type":"object","required":["name"],"properties":{"name":{"type":"string","description":"The name of the person"}}}`,
 		},
@@ -665,7 +537,7 @@ func TestToolFunctionParameters_String(t *testing.T) {
 					s.Self = s
 					return s
 				}(),
-				Properties: testPropsMap(map[string]ToolProperty{}),
+				Properties: map[string]ToolProperty{},
 			},
 			expected: "",
 		},
@@ -678,235 +550,3 @@ func TestToolFunctionParameters_String(t *testing.T) {
 		})
 	}
 }
-
-func TestToolCallFunctionArguments_OrderPreservation(t *testing.T) {
-	t.Run("marshal preserves insertion order", func(t *testing.T) {
-		args := NewToolCallFunctionArguments()
-		args.Set("zebra", "z")
-		args.Set("apple", "a")
-		args.Set("mango", "m")
-
-		data, err := json.Marshal(args)
-		require.NoError(t, err)
-
-		// Should preserve insertion order, not alphabetical
-		assert.Equal(t, `{"zebra":"z","apple":"a","mango":"m"}`, string(data))
-	})
-
-	t.Run("unmarshal preserves JSON order", func(t *testing.T) {
-		jsonData := `{"zebra":"z","apple":"a","mango":"m"}`
-
-		var args ToolCallFunctionArguments
-		err := json.Unmarshal([]byte(jsonData), &args)
-		require.NoError(t, err)
-
-		// Verify iteration order matches JSON order
-		var keys []string
-		for k := range args.All() {
-			keys = append(keys, k)
-		}
-		assert.Equal(t, []string{"zebra", "apple", "mango"}, keys)
-	})
-
-	t.Run("round trip preserves order", func(t *testing.T) {
-		original := `{"z":1,"a":2,"m":3,"b":4}`
-
-		var args ToolCallFunctionArguments
-		err := json.Unmarshal([]byte(original), &args)
-		require.NoError(t, err)
-
-		data, err := json.Marshal(args)
-		require.NoError(t, err)
-
-		assert.Equal(t, original, string(data))
-	})
-
-	t.Run("String method returns ordered JSON", func(t *testing.T) {
-		args := NewToolCallFunctionArguments()
-		args.Set("c", 3)
-		args.Set("a", 1)
-		args.Set("b", 2)
-
-		assert.Equal(t, `{"c":3,"a":1,"b":2}`, args.String())
-	})
-
-	t.Run("Get retrieves correct values", func(t *testing.T) {
-		args := NewToolCallFunctionArguments()
-		args.Set("key1", "value1")
-		args.Set("key2", 42)
-
-		v, ok := args.Get("key1")
-		assert.True(t, ok)
-		assert.Equal(t, "value1", v)
-
-		v, ok = args.Get("key2")
-		assert.True(t, ok)
-		assert.Equal(t, 42, v)
-
-		_, ok = args.Get("nonexistent")
-		assert.False(t, ok)
-	})
-
-	t.Run("Len returns correct count", func(t *testing.T) {
-		args := NewToolCallFunctionArguments()
-		assert.Equal(t, 0, args.Len())
-
-		args.Set("a", 1)
-		assert.Equal(t, 1, args.Len())
-
-		args.Set("b", 2)
-		assert.Equal(t, 2, args.Len())
-	})
-
-	t.Run("empty args marshal to empty object", func(t *testing.T) {
-		args := NewToolCallFunctionArguments()
-		data, err := json.Marshal(args)
-		require.NoError(t, err)
-		assert.Equal(t, `{}`, string(data))
-	})
-
-	t.Run("zero value args marshal to empty object", func(t *testing.T) {
-		var args ToolCallFunctionArguments
-		assert.Equal(t, "{}", args.String())
-	})
-}
-
-func TestToolPropertiesMap_OrderPreservation(t *testing.T) {
-	t.Run("marshal preserves insertion order", func(t *testing.T) {
-		props := NewToolPropertiesMap()
-		props.Set("zebra", ToolProperty{Type: PropertyType{"string"}})
-		props.Set("apple", ToolProperty{Type: PropertyType{"number"}})
-		props.Set("mango", ToolProperty{Type: PropertyType{"boolean"}})
-
-		data, err := json.Marshal(props)
-		require.NoError(t, err)
-
-		// Should preserve insertion order, not alphabetical
-		expected := `{"zebra":{"type":"string"},"apple":{"type":"number"},"mango":{"type":"boolean"}}`
-		assert.Equal(t, expected, string(data))
-	})
-
-	t.Run("unmarshal preserves JSON order", func(t *testing.T) {
-		jsonData := `{"zebra":{"type":"string"},"apple":{"type":"number"},"mango":{"type":"boolean"}}`
-
-		var props ToolPropertiesMap
-		err := json.Unmarshal([]byte(jsonData), &props)
-		require.NoError(t, err)
-
-		// Verify iteration order matches JSON order
-		var keys []string
-		for k := range props.All() {
-			keys = append(keys, k)
-		}
-		assert.Equal(t, []string{"zebra", "apple", "mango"}, keys)
-	})
-
-	t.Run("round trip preserves order", func(t *testing.T) {
-		original := `{"z":{"type":"string"},"a":{"type":"number"},"m":{"type":"boolean"}}`
-
-		var props ToolPropertiesMap
-		err := json.Unmarshal([]byte(original), &props)
-		require.NoError(t, err)
-
-		data, err := json.Marshal(props)
-		require.NoError(t, err)
-
-		assert.Equal(t, original, string(data))
-	})
-
-	t.Run("Get retrieves correct values", func(t *testing.T) {
-		props := NewToolPropertiesMap()
-		props.Set("name", ToolProperty{Type: PropertyType{"string"}, Description: "The name"})
-		props.Set("age", ToolProperty{Type: PropertyType{"integer"}, Description: "The age"})
-
-		v, ok := props.Get("name")
-		assert.True(t, ok)
-		assert.Equal(t, "The name", v.Description)
-
-		v, ok = props.Get("age")
-		assert.True(t, ok)
-		assert.Equal(t, "The age", v.Description)
-
-		_, ok = props.Get("nonexistent")
-		assert.False(t, ok)
-	})
-
-	t.Run("Len returns correct count", func(t *testing.T) {
-		props := NewToolPropertiesMap()
-		assert.Equal(t, 0, props.Len())
-
-		props.Set("a", ToolProperty{})
-		assert.Equal(t, 1, props.Len())
-
-		props.Set("b", ToolProperty{})
-		assert.Equal(t, 2, props.Len())
-	})
-
-	t.Run("nil props marshal to null", func(t *testing.T) {
-		var props *ToolPropertiesMap
-		data, err := json.Marshal(props)
-		require.NoError(t, err)
-		assert.Equal(t, `null`, string(data))
-	})
-
-	t.Run("ToMap returns regular map", func(t *testing.T) {
-		props := NewToolPropertiesMap()
-		props.Set("a", ToolProperty{Type: PropertyType{"string"}})
-		props.Set("b", ToolProperty{Type: PropertyType{"number"}})
-
-		m := props.ToMap()
-		assert.Equal(t, 2, len(m))
-		assert.Equal(t, PropertyType{"string"}, m["a"].Type)
-		assert.Equal(t, PropertyType{"number"}, m["b"].Type)
-	})
-}
-
-func TestToolCallFunctionArguments_ComplexValues(t *testing.T) {
-	t.Run("nested objects preserve order", func(t *testing.T) {
-		jsonData := `{"outer":{"z":1,"a":2},"simple":"value"}`
-
-		var args ToolCallFunctionArguments
-		err := json.Unmarshal([]byte(jsonData), &args)
-		require.NoError(t, err)
-
-		// Outer keys should be in order
-		var keys []string
-		for k := range args.All() {
-			keys = append(keys, k)
-		}
-		assert.Equal(t, []string{"outer", "simple"}, keys)
-	})
-
-	t.Run("arrays as values", func(t *testing.T) {
-		args := NewToolCallFunctionArguments()
-		args.Set("items", []string{"a", "b", "c"})
-		args.Set("numbers", []int{1, 2, 3})
-
-		data, err := json.Marshal(args)
-		require.NoError(t, err)
-
-		assert.Equal(t, `{"items":["a","b","c"],"numbers":[1,2,3]}`, string(data))
-	})
-}
-
-func TestToolPropertiesMap_NestedProperties(t *testing.T) {
-	t.Run("nested properties preserve order", func(t *testing.T) {
-		props := NewToolPropertiesMap()
-
-		nestedProps := NewToolPropertiesMap()
-		nestedProps.Set("z_field", ToolProperty{Type: PropertyType{"string"}})
-		nestedProps.Set("a_field", ToolProperty{Type: PropertyType{"number"}})
-
-		props.Set("outer", ToolProperty{
-			Type:       PropertyType{"object"},
-			Properties: nestedProps,
-		})
-
-		data, err := json.Marshal(props)
-		require.NoError(t, err)
-
-		// Both outer and inner should preserve order
-		expected := `{"outer":{"type":"object","properties":{"z_field":{"type":"string"},"a_field":{"type":"number"}}}}`
-		assert.Equal(t, expected, string(data))
-	})
-}

app/README.md

@@ -48,6 +48,16 @@ The `-dev` flag enables:
 - CORS headers for cross-origin requests
 - Hot-reload support for UI development
 
+#### Run Storybook
+
+Inside the `ui/app` directory, run:
+
+```bash
+npm run storybook
+```
+
+For now we're writing stories as siblings of the component they're testing. So for example, `src/components/Message.stories.tsx` is the story for `src/components/Message.tsx`.
+
 ## Build
 
 

app/cmd/app/app.go

@@ -273,6 +273,10 @@ func main() {
 		Handler: uiServer.Handler(),
 	}
 
+	if _, err := uiServer.UserData(ctx); err != nil {
+		slog.Warn("failed to load user data", "error", err)
+	}
+
 	// Start the UI server
 	slog.Info("starting ui server", "port", port)
 	go func() {
@@ -316,17 +320,6 @@ func main() {
 		slog.Debug("no URL scheme request to handle")
 	}
 
-	go func() {
-		slog.Debug("waiting for ollama server to be ready")
-		if err := ui.WaitForServer(ctx, 10*time.Second); err != nil {
-			slog.Warn("ollama server not ready, continuing anyway", "error", err)
-		}
-
-		if _, err := uiServer.UserData(ctx); err != nil {
-			slog.Warn("failed to load user data", "error", err)
-		}
-	}()
-
 	osRun(cancel, hasCompletedFirstRun, startHidden)
 
 	slog.Info("shutting down desktop server")
@@ -368,7 +361,7 @@ func checkUserLoggedIn(uiServerPort int) bool {
 		return false
 	}
 
-	resp, err := http.Post(fmt.Sprintf("http://127.0.0.1:%d/api/me", uiServerPort), "application/json", nil)
+	resp, err := http.Get(fmt.Sprintf("http://127.0.0.1:%d/api/v1/me", uiServerPort))
 	if err != nil {
 		slog.Debug("failed to call local auth endpoint", "error", err)
 		return false
@@ -404,8 +397,8 @@ func checkUserLoggedIn(uiServerPort int) bool {
 // handleConnectURLScheme fetches the connect URL and opens it in the browser
 func handleConnectURLScheme() {
 	if checkUserLoggedIn(uiServerPort) {
-		slog.Info("user is already logged in, opening app instead")
+		slog.Info("user is already logged in, opening settings instead")
-		showWindow(wv.webview.Window())
+		sendUIRequestMessage("/")
 		return
 	}
 
@@ -441,30 +434,37 @@ func openInBrowser(url string) {
 	}
 }
 
-// parseURLScheme parses an ollama:// URL and validates it
+// parseURLScheme parses an ollama:// URL and returns whether it's a connect URL and the UI path
-// Supports: ollama:// (open app) and ollama://connect (OAuth)
+func parseURLScheme(urlSchemeRequest string) (isConnect bool, uiPath string, err error) {
-func parseURLScheme(urlSchemeRequest string) (isConnect bool, err error) {
 	parsedURL, err := url.Parse(urlSchemeRequest)
 	if err != nil {
-		return false, fmt.Errorf("invalid URL: %w", err)
+		return false, "", err
 	}
 
 	// Check if this is a connect URL
 	if parsedURL.Host == "connect" || strings.TrimPrefix(parsedURL.Path, "/") == "connect" {
-		return true, nil
+		return true, "", nil
 	}
 
-	// Allow bare ollama:// or ollama:/// to open the app
+	// Extract the UI path
-	if (parsedURL.Host == "" && parsedURL.Path == "") || parsedURL.Path == "/" {
+	path := "/"
-		return false, nil
+	if parsedURL.Path != "" && parsedURL.Path != "/" {
+		// For URLs like ollama:///settings, use the path directly
+		path = parsedURL.Path
+	} else if parsedURL.Host != "" {
+		// For URLs like ollama://settings (without triple slash),
+		// the "settings" part is parsed as the host, not the path.
+		// We need to convert it to a path by prepending "/"
+		// This also handles ollama://settings/ where Windows adds a trailing slash
+		path = "/" + parsedURL.Host
 	}
 
-	return false, fmt.Errorf("unsupported ollama:// URL path: %s", urlSchemeRequest)
+	return false, path, nil
 }
 
 // handleURLSchemeInCurrentInstance processes URL scheme requests in the current instance
 func handleURLSchemeInCurrentInstance(urlSchemeRequest string) {
-	isConnect, err := parseURLScheme(urlSchemeRequest)
+	isConnect, uiPath, err := parseURLScheme(urlSchemeRequest)
 	if err != nil {
 		slog.Error("failed to parse URL scheme request", "url", urlSchemeRequest, "error", err)
 		return
@@ -473,8 +473,6 @@ func handleURLSchemeInCurrentInstance(urlSchemeRequest string) {
 	if isConnect {
 		handleConnectURLScheme()
 	} else {
-		if wv.webview != nil {
+		sendUIRequestMessage(uiPath)
-			showWindow(wv.webview.Window())
-		}
 	}
 }

app/cmd/app/app_darwin.go

@@ -191,6 +191,13 @@ func LaunchNewApp() {
 	C.launchApp(appName)
 }
 
+// Send a request to the main app thread to load a UI page
+func sendUIRequestMessage(path string) {
+	p := C.CString(path)
+	defer C.free(unsafe.Pointer(p))
+	C.uiRequest(p)
+}
+
 func registerLaunchAgent(hasCompletedFirstRun bool) {
 	// Remove any stale Login Item registrations
 	C.unregisterSelfFromLoginItem()

app/cmd/app/app_darwin.m

@@ -24,14 +24,27 @@ bool firstTimeRun,startHidden; // Set in run before initialization
     for (NSURL *url in urls) {
         if ([url.scheme isEqualToString:@"ollama"]) {
             NSString *path = url.path;
+            if (!path || [path isEqualToString:@""]) {
+                // For URLs like ollama://settings (without triple slash),
+                // the "settings" part is parsed as the host, not the path.
+                // We need to convert it to a path by prepending "/"
+                if (url.host && ![url.host isEqualToString:@""]) {
+                    path = [@"/" stringByAppendingString:url.host];
+                } else {
+                    path = @"/";
+                }
+            }
             
-            if (path && ([path isEqualToString:@"/connect"] || [url.host isEqualToString:@"connect"])) {
+            if ([path isEqualToString:@"/connect"] || [url.host isEqualToString:@"connect"]) {
                 // Special case: handle connect by opening browser instead of app
                 handleConnectURL();
             } else {
                 // Set app to be active and visible
                 [NSApp setActivationPolicy:NSApplicationActivationPolicyRegular];
                 [NSApp activateIgnoringOtherApps:YES];
+                
+                // Open the path with the UI
+                [self uiRequest:path];
             }
             
             break;
@@ -247,7 +260,7 @@ bool firstTimeRun,startHidden; // Set in run before initialization
 }
 
 - (void)openHelp:(id)sender {
-    NSURL *url = [NSURL URLWithString:@"https://docs.ollama.com/"];
+    NSURL *url = [NSURL URLWithString:@"https://github.com/ollama/ollama/tree/main/docs"];
     [[NSWorkspace sharedWorkspace] openURL:url];
 }
 

app/cmd/app/app_windows.go

@@ -138,7 +138,7 @@ func (app *appCallbacks) HandleURLScheme(urlScheme string) {
 
 // handleURLSchemeRequest processes URL scheme requests from other instances
 func handleURLSchemeRequest(urlScheme string) {
-	isConnect, err := parseURLScheme(urlScheme)
+	isConnect, uiPath, err := parseURLScheme(urlScheme)
 	if err != nil {
 		slog.Error("failed to parse URL scheme request", "url", urlScheme, "error", err)
 		return
@@ -147,9 +147,7 @@ func handleURLSchemeRequest(urlScheme string) {
 	if isConnect {
 		handleConnectURLScheme()
 	} else {
-		if wv.webview != nil {
+		sendUIRequestMessage(uiPath)
-			showWindow(wv.webview.Window())
-		}
 	}
 }
 
@@ -263,6 +261,11 @@ func createLoginShortcut() error {
 	return nil
 }
 
+// Send a request to the main app thread to load a UI page
+func sendUIRequestMessage(path string) {
+	wintray.SendUIRequestMessage(path)
+}
+
 func LaunchNewApp() {
 }
 

app/cmd/app/webview.go

@@ -282,7 +282,7 @@ func (w *Webview) Run(path string) unsafe.Pointer {
 					"go", "rs", "swift", "kt", "scala", "sh", "bat", "yaml", "yml", "toml", "ini",
 					"cfg", "conf", "log", "rtf",
 				}
-				imageExts := []string{"png", "jpg", "jpeg", "webp"}
+				imageExts := []string{"png", "jpg", "jpeg"}
 				allowedExts := append(textExts, imageExts...)
 
 				// Use native multiple file selection with extension filtering

app/dialog/cocoa/dlg.m

@@ -169,11 +169,7 @@ DlgResult fileDlg(FileDlgParams* params) {
 	}
 	
 	NSArray* urls = [panel URLs];
-	if([urls count] == 0) {
+	if(self->params->allowMultiple && [urls count] >= 1) {
-		return DLG_CANCEL;
-	}
-	
-	if(self->params->allowMultiple) {
 		// For multiple files, we need to return all paths separated by null bytes
 		char* bufPtr = self->params->buf;
 		int remainingBuf = self->params->nbuf;
@@ -204,12 +200,6 @@ DlgResult fileDlg(FileDlgParams* params) {
       bufPtr += pathLen + 1;
   }
   *bufPtr = '\0'; // Final null terminator
-	} else {
-		// Single file/directory selection - write path to buffer
-		NSURL* url = [urls firstObject];
-		if(![url getFileSystemRepresentation:self->params->buf maxLength:self->params->nbuf]) {
-			return DLG_URLFAIL;
-		}
 	}
 	
 	return DLG_OK;

app/dialog/dlgs_windows.go

@@ -15,7 +15,7 @@ const multiFileBufferSize = w32.MAX_PATH * 10
 type WinDlgError int
 
 func (e WinDlgError) Error() string {
-	return fmt.Sprintf("CommDlgExtendedError: %#x", int(e))
+	return fmt.Sprintf("CommDlgExtendedError: %#x", e)
 }
 
 func err() error {

app/server/server.go

@@ -224,7 +224,9 @@ func (s *Server) cmd(ctx context.Context) (*exec.Cmd, error) {
 		if _, err := os.Stat(settings.Models); err == nil {
 			env["OLLAMA_MODELS"] = settings.Models
 		} else {
-			slog.Warn("models path not accessible, using default", "path", settings.Models, "err", err)
+			slog.Warn("models path not accessible, clearing models setting", "path", settings.Models, "err", err)
+			settings.Models = ""
+			s.store.SetSettings(settings)
 		}
 	}
 	if settings.ContextLength > 0 {

app/ui/app/codegen/gotypes.gen.ts

@@ -469,24 +469,26 @@ export class HealthResponse {
 }
 export class User {
     id: string;
-    email: string;
     name: string;
-    bio?: string;
+    email: string;
-    avatarurl?: string;
+    avatarURL: string;
-    firstname?: string;
+    plan: string;
-    lastname?: string;
+    bio: string;
-    plan?: string;
+    firstName: string;
+    lastName: string;
+    overThreshold: boolean;
 
     constructor(source: any = {}) {
         if ('string' === typeof source) source = JSON.parse(source);
         this.id = source["id"];
-        this.email = source["email"];
         this.name = source["name"];
-        this.bio = source["bio"];
+        this.email = source["email"];
-        this.avatarurl = source["avatarurl"];
+        this.avatarURL = source["avatarURL"];
-        this.firstname = source["firstname"];
-        this.lastname = source["lastname"];
         this.plan = source["plan"];
+        this.bio = source["bio"];
+        this.firstName = source["firstName"];
+        this.lastName = source["lastName"];
+        this.overThreshold = source["overThreshold"];
     }
 }
 export class Attachment {

app/ui/app/package.json

@@ -34,7 +34,6 @@
     "rehype-raw": "^7.0.0",
     "rehype-sanitize": "^6.0.0",
     "remark-math": "^6.0.0",
-    "streamdown": "^1.4.0",
     "unist-builder": "^4.0.0",
     "unist-util-parents": "^3.0.0"
   },

app/ui/app/src/api.ts

@@ -15,7 +15,6 @@ import {
 import { parseJsonlFromResponse } from "./util/jsonl-parsing";
 import { ollamaClient as ollama } from "./lib/ollama-client";
 import type { ModelResponse } from "ollama/browser";
-import { API_BASE, OLLAMA_DOT_COM } from "./lib/config";
 
 // Extend Model class with utility methods
 declare module "@/gotypes" {
@@ -27,6 +26,9 @@ declare module "@/gotypes" {
 Model.prototype.isCloud = function (): boolean {
   return this.model.endsWith("cloud");
 };
+
+const API_BASE = import.meta.env.DEV ? "http://127.0.0.1:3001" : "";
+
 // Helper function to convert Uint8Array to base64
 function uint8ArrayToBase64(uint8Array: Uint8Array): string {
   const chunkSize = 0x8000; // 32KB chunks to avoid stack overflow
@@ -41,8 +43,9 @@ function uint8ArrayToBase64(uint8Array: Uint8Array): string {
 }
 
 export async function fetchUser(): Promise<User | null> {
-  const response = await fetch(`${API_BASE}/api/me`, {
+  try {
-    method: "POST",
+    const response = await fetch(`${API_BASE}/api/v1/me`, {
+      method: "GET",
       headers: {
         "Content-Type": "application/json",
       },
@@ -50,41 +53,34 @@ export async function fetchUser(): Promise<User | null> {
 
     if (response.ok) {
       const userData: User = await response.json();
-
-    if (userData.avatarurl && !userData.avatarurl.startsWith("http")) {
-      userData.avatarurl = `${OLLAMA_DOT_COM}${userData.avatarurl}`;
-    }
-
       return userData;
     }
 
-  if (response.status === 401 || response.status === 403) {
+    return null;
+  } catch (error) {
+    console.error("Error fetching user:", error);
     return null;
   }
-
-  throw new Error(`Failed to fetch user: ${response.status}`);
 }
 
 export async function fetchConnectUrl(): Promise<string> {
-  const response = await fetch(`${API_BASE}/api/me`, {
+  const response = await fetch(`${API_BASE}/api/v1/connect`, {
-    method: "POST",
+    method: "GET",
     headers: {
       "Content-Type": "application/json",
     },
   });
 
-  if (response.status === 401) {
+  if (!response.ok) {
-    const data = await response.json();
+    throw new Error("Failed to fetch connect URL");
-    if (data.signin_url) {
-      return data.signin_url;
-    }
   }
 
-  throw new Error("Failed to fetch connect URL");
+  const data = await response.json();
+  return data.connect_url;
 }
 
 export async function disconnectUser(): Promise<void> {
-  const response = await fetch(`${API_BASE}/api/signout`, {
+  const response = await fetch(`${API_BASE}/api/v1/disconnect`, {
     method: "POST",
     headers: {
       "Content-Type": "application/json",
@@ -209,11 +205,6 @@ export async function* sendMessage(
     data: uint8ArrayToBase64(att.data),
   }));
 
-  // Send think parameter when it's explicitly set (true, false, or a non-empty string).
-  const shouldSendThink =
-    think !== undefined &&
-    (typeof think === "boolean" || (typeof think === "string" && think !== ""));
-
   const response = await fetch(`${API_BASE}/api/v1/chat/${chatId}`, {
     method: "POST",
     headers: {
@@ -231,7 +222,7 @@ export async function* sendMessage(
         web_search: webSearch ?? false,
         file_tools: fileTools ?? false,
         ...(forceUpdate !== undefined ? { forceUpdate } : {}),
-        ...(shouldSendThink ? { think } : {}),
+        ...(think !== undefined ? { think } : {}),
       }),
     ),
     signal,
@@ -394,8 +385,7 @@ export async function getInferenceCompute(): Promise<InferenceCompute[]> {
 
 export async function fetchHealth(): Promise<boolean> {
   try {
-    // Use the /api/version endpoint as a health check
+    const response = await fetch(`${API_BASE}/api/v1/health`, {
-    const response = await fetch(`${API_BASE}/api/version`, {
       method: "GET",
       headers: {
         "Content-Type": "application/json",
@@ -404,8 +394,7 @@ export async function fetchHealth(): Promise<boolean> {
 
     if (response.ok) {
       const data = await response.json();
-      // If we get a version back, the server is healthy
+      return data.healthy || false;
-      return !!data.version;
     }
 
     return false;

app/ui/app/src/components/Settings.tsx

@@ -299,9 +299,9 @@ export default function Settings() {
                         </Button>
                       </div>
                     </div>
-                    {user?.avatarurl && (
+                    {user?.avatarURL && (
                       <img
-                        src={user.avatarurl}
+                        src={user.avatarURL}
                         alt={user?.name}
                         className="h-10 w-10 rounded-full bg-neutral-200 dark:bg-neutral-700 flex-shrink-0"
                         onError={(e) => {

app/ui/app/src/components/StreamingMarkdownContent.test.tsx

@@ -0,0 +1,522 @@
+import { expect, test, suite } from "vitest";
+import { processStreamingMarkdown } from "@/utils/processStreamingMarkdown";
+
+suite("common llm outputs that cause issues", () => {
+  test("prefix of bolded list item shouldn't make a horizontal line", () => {
+    // we're going to go in order of incrementally adding characters. This
+    // happens really commonly with LLMs that like to make lists like so:
+    //
+    // * **point 1**: explanatory text
+    // * **point 2**: more explanatory text
+    //
+    // Partial rendering of `*` (A), followed by `* *` (B), followed by `* **`
+    // (C) is a total mess.  (A) renders as a single bullet point in an
+    // otherwise empty list, (B) renders as two nested lists (and therefore
+    // two bullet points, styled differently by default in html), and (C)
+    // renders as a horizontal line because in markdown apparently `***` or `*
+    // * *` horizontal rules don't have as strict whitespace rules as I
+    // expected them to
+
+    // these are alone (i.e., they would be the first list item)
+    expect(processStreamingMarkdown("*")).toBe("");
+    expect(processStreamingMarkdown("* *")).toBe("");
+    expect(processStreamingMarkdown("* **")).toBe("");
+    // expect(processStreamingMarkdown("* **b")).toBe("* **b**");
+
+    // with a list item before them
+    expect(
+      processStreamingMarkdown(
+        // prettier-ignore
+        [
+          "* abc", 
+          "*"
+        ].join("\n"),
+      ),
+    ).toBe("* abc");
+
+    expect(
+      processStreamingMarkdown(
+        // prettier-ignore
+        [
+          "* abc", 
+          "* *"
+        ].join("\n"),
+      ),
+    ).toBe("* abc");
+
+    expect(
+      processStreamingMarkdown(
+        // prettier-ignore
+        [
+          "* abc", 
+          "* **"
+        ].join("\n"),
+      ),
+    ).toBe("* abc");
+  });
+
+  test("bolded list items with text should be rendered properly", () => {
+    expect(processStreamingMarkdown("* **abc**")).toBe("* **abc**");
+  });
+
+  test("partially bolded list items should be autoclosed", () => {
+    expect(processStreamingMarkdown("* **abc")).toBe("* **abc**");
+  });
+
+  suite(
+    "partially bolded list items should be autoclosed, even if the last node isn't a text node",
+    () => {
+      test("inline code", () => {
+        expect(
+          processStreamingMarkdown("* **Asynchronous Function `async`*"),
+        ).toBe("* **Asynchronous Function `async`**");
+      });
+    },
+  );
+});
+
+suite("autoclosing bold", () => {
+  suite("endings with no asterisks", () => {
+    test("should autoclose bold", () => {
+      expect(processStreamingMarkdown("**abc")).toBe("**abc**");
+      expect(processStreamingMarkdown("abc **abc")).toBe("abc **abc**");
+    });
+
+    suite("should autoclose, even if the last node isn't a text node", () => {
+      test("inline code", () => {
+        expect(
+          processStreamingMarkdown("* **Asynchronous Function `async`"),
+        ).toBe("* **Asynchronous Function `async`**");
+      });
+
+      test("opening ** is at the end of the text", () => {
+        expect(processStreamingMarkdown("abc **`def` jhk [lmn](opq)")).toBe(
+          "abc **`def` jhk [lmn](opq)**",
+        );
+      });
+
+      test("if there's a space after the **, it should NOT be autoclosed", () => {
+        expect(processStreamingMarkdown("abc ** `def` jhk [lmn](opq)")).toBe(
+          "abc \\*\\* `def` jhk [lmn](opq)",
+        );
+      });
+    });
+
+    test("should autoclose bold, even if the last node isn't a text node", () => {
+      expect(
+        processStreamingMarkdown("* **Asynchronous Function ( `async`"),
+      ).toBe("* **Asynchronous Function ( `async`**");
+    });
+
+    test("whitespace fakeouts should not be modified", () => {
+      expect(processStreamingMarkdown("** abc")).toBe("\\*\\* abc");
+    });
+
+    // TODO(drifkin): arguably this should just be removed entirely, but empty
+    // isn't so bad
+    test("should handle empty bolded items", () => {
+      expect(processStreamingMarkdown("**")).toBe("");
+    });
+  });
+
+  suite("partially closed bolded items", () => {
+    test("simple partial", () => {
+      expect(processStreamingMarkdown("**abc*")).toBe("**abc**");
+    });
+
+    test("partial with non-text node at end", () => {
+      expect(processStreamingMarkdown("**abc`def`*")).toBe("**abc`def`**");
+    });
+
+    test("partial with multiply nested ending nodes", () => {
+      expect(processStreamingMarkdown("**abc[abc](`def`)*")).toBe(
+        "**abc[abc](`def`)**",
+      );
+    });
+
+    test("normal emphasis should not be affected", () => {
+      expect(processStreamingMarkdown("*abc*")).toBe("*abc*");
+    });
+
+    test("normal emphasis with nested code should not be affected", () => {
+      expect(processStreamingMarkdown("*`abc`*")).toBe("*`abc`*");
+    });
+  });
+
+  test.skip("shouldn't autoclose immediately if there's a space before the closing *", () => {
+    expect(processStreamingMarkdown("**abc *")).toBe("**abc**");
+  });
+
+  // skipping for now because this requires partial link completion as well
+  suite.skip("nested blocks that each need autoclosing", () => {
+    test("emph nested in link nested in strong nested in list item", () => {
+      expect(processStreamingMarkdown("* **[abc **def")).toBe(
+        "* **[abc **def**]()**",
+      );
+    });
+
+    test("* **[ab *`def`", () => {
+      expect(processStreamingMarkdown("* **[ab *`def`")).toBe(
+        "* **[ab *`def`*]()**",
+      );
+    });
+  });
+});
+
+suite("numbered list items", () => {
+  test("should remove trailing numbers", () => {
+    expect(processStreamingMarkdown("1. First\n2")).toBe("1. First");
+  });
+
+  test("should remove trailing numbers with breaks before", () => {
+    expect(processStreamingMarkdown("1. First    \n2")).toBe("1. First");
+  });
+
+  test("should remove trailing numbers that form a new paragraph", () => {
+    expect(processStreamingMarkdown("1. First\n\n2")).toBe("1. First");
+  });
+
+  test("but should leave list items separated by two newlines", () => {
+    expect(processStreamingMarkdown("1. First\n\n2. S")).toBe(
+      "1. First\n\n2. S",
+    );
+  });
+});
+
+// TODO(drifkin):slop tests ahead, some are decent, but need to manually go
+// through them as I implement
+/*
+describe("StreamingMarkdownContent - processStreamingMarkdown", () => {
+  describe("Ambiguous endings removal", () => {
+    it("should remove list markers at the end", () => {
+      expect(processStreamingMarkdown("Some text\n* ")).toBe("Some text");
+      expect(processStreamingMarkdown("Some text\n*")).toBe("Some text");
+      expect(processStreamingMarkdown("* Item 1\n- ")).toBe("* Item 1");
+      expect(processStreamingMarkdown("* Item 1\n-")).toBe("* Item 1");
+      expect(processStreamingMarkdown("Text\n+ ")).toBe("Text");
+      expect(processStreamingMarkdown("Text\n+")).toBe("Text");
+      expect(processStreamingMarkdown("1. First\n2. ")).toBe("1. First");
+    });
+
+    it("should remove heading markers at the end", () => {
+      expect(processStreamingMarkdown("Some text\n# ")).toBe("Some text");
+      expect(processStreamingMarkdown("Some text\n#")).toBe("Some text\n#"); // # without space is not removed
+      expect(processStreamingMarkdown("# Title\n## ")).toBe("# Title");
+      expect(processStreamingMarkdown("# Title\n##")).toBe("# Title\n##"); // ## without space is not removed
+    });
+
+    it("should remove ambiguous bold markers at the end", () => {
+      expect(processStreamingMarkdown("Text **")).toBe("Text ");
+      expect(processStreamingMarkdown("Some text\n**")).toBe("Some text");
+    });
+
+    it("should remove code block markers at the end", () => {
+      expect(processStreamingMarkdown("Text\n```")).toBe("Text");
+      expect(processStreamingMarkdown("```")).toBe("");
+    });
+
+    it("should remove single backtick at the end", () => {
+      expect(processStreamingMarkdown("Text `")).toBe("Text ");
+      expect(processStreamingMarkdown("`")).toBe("");
+    });
+
+    it("should remove single asterisk at the end", () => {
+      expect(processStreamingMarkdown("Text *")).toBe("Text ");
+      expect(processStreamingMarkdown("*")).toBe("");
+    });
+
+    it("should handle empty content", () => {
+      expect(processStreamingMarkdown("")).toBe("");
+    });
+
+    it("should handle single line removals correctly", () => {
+      expect(processStreamingMarkdown("* ")).toBe("");
+      expect(processStreamingMarkdown("# ")).toBe("");
+      expect(processStreamingMarkdown("**")).toBe("");
+      expect(processStreamingMarkdown("`")).toBe("");
+    });
+
+    it("shouldn't have this regexp capture group bug", () => {
+      expect(
+        processStreamingMarkdown("Here's a shopping list:\n*"),
+      ).not.toContain("0*");
+      expect(processStreamingMarkdown("Here's a shopping list:\n*")).toBe(
+        "Here's a shopping list:",
+      );
+    });
+  });
+
+  describe("List markers", () => {
+    it("should preserve complete list items", () => {
+      expect(processStreamingMarkdown("* Complete item")).toBe(
+        "* Complete item",
+      );
+      expect(processStreamingMarkdown("- Another item")).toBe("- Another item");
+      expect(processStreamingMarkdown("+ Plus item")).toBe("+ Plus item");
+      expect(processStreamingMarkdown("1. Numbered item")).toBe(
+        "1. Numbered item",
+      );
+    });
+
+    it("should handle indented list markers", () => {
+      expect(processStreamingMarkdown("  * ")).toBe("  ");
+      expect(processStreamingMarkdown("    - ")).toBe("    ");
+      expect(processStreamingMarkdown("\t+ ")).toBe("\t");
+    });
+  });
+
+  describe("Heading markers", () => {
+    it("should preserve complete headings", () => {
+      expect(processStreamingMarkdown("# Complete Heading")).toBe(
+        "# Complete Heading",
+      );
+      expect(processStreamingMarkdown("## Subheading")).toBe("## Subheading");
+      expect(processStreamingMarkdown("### H3 Title")).toBe("### H3 Title");
+    });
+
+    it("should not affect # in other contexts", () => {
+      expect(processStreamingMarkdown("C# programming")).toBe("C# programming");
+      expect(processStreamingMarkdown("Issue #123")).toBe("Issue #123");
+    });
+  });
+
+  describe("Bold text", () => {
+    it("should close incomplete bold text", () => {
+      expect(processStreamingMarkdown("This is **bold text")).toBe(
+        "This is **bold text**",
+      );
+      expect(processStreamingMarkdown("Start **bold and more")).toBe(
+        "Start **bold and more**",
+      );
+      expect(processStreamingMarkdown("**just bold")).toBe("**just bold**");
+    });
+
+    it("should not affect complete bold text", () => {
+      expect(processStreamingMarkdown("**complete bold**")).toBe(
+        "**complete bold**",
+      );
+      expect(processStreamingMarkdown("Text **bold** more")).toBe(
+        "Text **bold** more",
+      );
+    });
+
+    it("should handle nested bold correctly", () => {
+      expect(processStreamingMarkdown("**bold** and **another")).toBe(
+        "**bold** and **another**",
+      );
+    });
+  });
+
+  describe("Italic text", () => {
+    it("should close incomplete italic text", () => {
+      expect(processStreamingMarkdown("This is *italic text")).toBe(
+        "This is *italic text*",
+      );
+      expect(processStreamingMarkdown("Start *italic and more")).toBe(
+        "Start *italic and more*",
+      );
+    });
+
+    it("should differentiate between list markers and italic", () => {
+      expect(processStreamingMarkdown("* Item\n* ")).toBe("* Item");
+      expect(processStreamingMarkdown("Some *italic text")).toBe(
+        "Some *italic text*",
+      );
+      expect(processStreamingMarkdown("*just italic")).toBe("*just italic*");
+    });
+
+    it("should not affect complete italic text", () => {
+      expect(processStreamingMarkdown("*complete italic*")).toBe(
+        "*complete italic*",
+      );
+      expect(processStreamingMarkdown("Text *italic* more")).toBe(
+        "Text *italic* more",
+      );
+    });
+  });
+
+  describe("Code blocks", () => {
+    it("should close incomplete code blocks", () => {
+      expect(processStreamingMarkdown("```javascript\nconst x = 42;")).toBe(
+        "```javascript\nconst x = 42;\n```",
+      );
+      expect(processStreamingMarkdown("```\ncode here")).toBe(
+        "```\ncode here\n```",
+      );
+    });
+
+    it("should not affect complete code blocks", () => {
+      expect(processStreamingMarkdown("```\ncode\n```")).toBe("```\ncode\n```");
+      expect(processStreamingMarkdown("```js\nconst x = 1;\n```")).toBe(
+        "```js\nconst x = 1;\n```",
+      );
+    });
+
+    it("should handle nested code blocks correctly", () => {
+      expect(processStreamingMarkdown("```\ncode\n```\n```python")).toBe(
+        "```\ncode\n```\n```python\n```",
+      );
+    });
+
+    it("should not process markdown inside code blocks", () => {
+      expect(processStreamingMarkdown("```\n* not a list\n**not bold**")).toBe(
+        "```\n* not a list\n**not bold**\n```",
+      );
+    });
+  });
+
+  describe("Inline code", () => {
+    it("should close incomplete inline code", () => {
+      expect(processStreamingMarkdown("This is `inline code")).toBe(
+        "This is `inline code`",
+      );
+      expect(processStreamingMarkdown("Use `console.log")).toBe(
+        "Use `console.log`",
+      );
+    });
+
+    it("should not affect complete inline code", () => {
+      expect(processStreamingMarkdown("`complete code`")).toBe(
+        "`complete code`",
+      );
+      expect(processStreamingMarkdown("Use `code` here")).toBe(
+        "Use `code` here",
+      );
+    });
+
+    it("should handle multiple inline codes correctly", () => {
+      expect(processStreamingMarkdown("`code` and `more")).toBe(
+        "`code` and `more`",
+      );
+    });
+
+    it("should not confuse inline code with code blocks", () => {
+      expect(processStreamingMarkdown("```\nblock\n```\n`inline")).toBe(
+        "```\nblock\n```\n`inline`",
+      );
+    });
+  });
+
+  describe("Complex streaming scenarios", () => {
+    it("should handle progressive streaming of a heading", () => {
+      const steps = [
+        { input: "#", expected: "#" }, // # alone is not removed (needs space)
+        { input: "# ", expected: "" },
+        { input: "# H", expected: "# H" },
+        { input: "# Hello", expected: "# Hello" },
+      ];
+      steps.forEach(({ input, expected }) => {
+        expect(processStreamingMarkdown(input)).toBe(expected);
+      });
+    });
+
+    it("should handle progressive streaming of bold text", () => {
+      const steps = [
+        { input: "*", expected: "" },
+        { input: "**", expected: "" },
+        { input: "**b", expected: "**b**" },
+        { input: "**bold", expected: "**bold**" },
+        { input: "**bold**", expected: "**bold**" },
+      ];
+      steps.forEach(({ input, expected }) => {
+        expect(processStreamingMarkdown(input)).toBe(expected);
+      });
+    });
+
+    it("should handle multiline content with various patterns", () => {
+      const multiline = `# Title
+      
+This is a paragraph with **bold text** and *italic text*.
+
+* Item 1
+* Item 2
+* `;
+
+      const expected = `# Title
+      
+This is a paragraph with **bold text** and *italic text*.
+
+* Item 1
+* Item 2`;
+
+      expect(processStreamingMarkdown(multiline)).toBe(expected);
+    });
+
+    it("should only fix the last line", () => {
+      expect(processStreamingMarkdown("# Complete\n# Another\n# ")).toBe(
+        "# Complete\n# Another",
+      );
+      expect(processStreamingMarkdown("* Item 1\n* Item 2\n* ")).toBe(
+        "* Item 1\n* Item 2",
+      );
+    });
+
+    it("should handle mixed content correctly", () => {
+      const input = `# Header
+
+This has **bold** text and *italic* text.
+
+\`\`\`js
+const x = 42;
+\`\`\`
+
+Now some \`inline code\` and **unclosed bold`;
+
+      const expected = `# Header
+
+This has **bold** text and *italic* text.
+
+\`\`\`js
+const x = 42;
+\`\`\`
+
+Now some \`inline code\` and **unclosed bold**`;
+
+      expect(processStreamingMarkdown(input)).toBe(expected);
+    });
+  });
+
+  describe("Edge cases with escaping", () => {
+    it("should handle escaped asterisks (future enhancement)", () => {
+      // Note: Current implementation doesn't handle escaping
+      // This is a known limitation - escaped characters still trigger closing
+      expect(processStreamingMarkdown("Text \\*not italic")).toBe(
+        "Text \\*not italic*",
+      );
+    });
+
+    it("should handle escaped backticks (future enhancement)", () => {
+      // Note: Current implementation doesn't handle escaping
+      // This is a known limitation - escaped characters still trigger closing
+      expect(processStreamingMarkdown("Text \\`not code")).toBe(
+        "Text \\`not code`",
+      );
+    });
+  });
+
+  describe("Code block edge cases", () => {
+    it("should handle triple backticks in the middle of lines", () => {
+      expect(processStreamingMarkdown("Text ``` in middle")).toBe(
+        "Text ``` in middle\n```",
+      );
+      expect(processStreamingMarkdown("```\nText ``` in code\nmore")).toBe(
+        "```\nText ``` in code\nmore\n```",
+      );
+    });
+
+    it("should properly close code blocks with language specifiers", () => {
+      expect(processStreamingMarkdown("```typescript")).toBe(
+        "```typescript\n```",
+      );
+      expect(processStreamingMarkdown("```typescript\nconst x = 1")).toBe(
+        "```typescript\nconst x = 1\n```",
+      );
+    });
+
+    it("should remove a completely empty partial code block", () => {
+      expect(processStreamingMarkdown("```\n")).toBe("");
+    });
+  });
+});
+
+*/

app/ui/app/src/components/StreamingMarkdownContent.tsx

@@ -1,123 +1,66 @@
 import React from "react";
-import { Streamdown, defaultRemarkPlugins } from "streamdown";
+import Markdown from "react-markdown";
+import remarkGfm from "remark-gfm";
+import remarkMath from "remark-math";
+import rehypeRaw from "rehype-raw";
+import rehypeSanitize, { defaultSchema } from "rehype-sanitize";
+import rehypePrismPlus from "rehype-prism-plus";
+import rehypeKatex from "rehype-katex";
+import remarkStreamingMarkdown, {
+  type LastNodeInfo,
+} from "@/utils/remarkStreamingMarkdown";
+import type { PluggableList } from "unified";
 import remarkCitationParser from "@/utils/remarkCitationParser";
 import CopyButton from "./CopyButton";
-import type { BundledLanguage } from "shiki";
-import { highlighter } from "@/lib/highlighter";
 
 interface StreamingMarkdownContentProps {
   content: string;
   isStreaming?: boolean;
   size?: "sm" | "md" | "lg";
+  onLastNode?: (info: LastNodeInfo) => void;
   browserToolResult?: any; // TODO: proper type
 }
 
-// Helper to extract text from React nodes
+const CodeBlock = React.memo(
-const extractText = (node: React.ReactNode): string => {
+  ({ children, className, ...props }: React.HTMLAttributes<HTMLPreElement>) => {
+    const extractText = React.useCallback((node: React.ReactNode): string => {
       if (typeof node === "string") return node;
       if (typeof node === "number") return String(node);
       if (!node) return "";
+
       if (React.isValidElement(node)) {
-    const props = node.props as any;
+        if (
-    if (props?.children) {
+          node.props &&
-      return extractText(props.children as React.ReactNode);
+          typeof node.props === "object" &&
+          "children" in node.props
+        ) {
+          return extractText(node.props.children as React.ReactNode);
         }
       }
+
       if (Array.isArray(node)) {
         return node.map(extractText).join("");
       }
+
       return "";
-};
+    }, []);
 
-const CodeBlock = React.memo(
+    const language = className?.replace(/language-/, "") || "";
-  ({ children }: React.HTMLAttributes<HTMLPreElement>) => {
-    // Extract code and language from children
-    const codeElement = children as React.ReactElement<{
-      className?: string;
-      children: React.ReactNode;
-    }>;
-    const language =
-      codeElement.props.className?.replace(/language-/, "") || "";
-    const codeText = extractText(codeElement.props.children);
-
-    // Synchronously highlight code using the pre-loaded highlighter
-    const tokens = React.useMemo(() => {
-      if (!highlighter) return null;
-
-      try {
-        return {
-          light: highlighter.codeToTokensBase(codeText, {
-            lang: language as BundledLanguage,
-            theme: "one-light" as any,
-          }),
-          dark: highlighter.codeToTokensBase(codeText, {
-            lang: language as BundledLanguage,
-            theme: "one-dark" as any,
-          }),
-        };
-      } catch (error) {
-        console.error("Failed to highlight code:", error);
-        return null;
-      }
-    }, [codeText, language]);
 
     return (
       <div className="relative bg-neutral-100 dark:bg-neutral-800 rounded-2xl overflow-hidden my-6">
-        <div className="flex select-none">
+        <div className="flex justify-between select-none">
-          {language && (
           <div className="text-[13px] text-neutral-500 dark:text-neutral-400 font-mono px-4 py-2">
             {language}
           </div>
-          )}
           <CopyButton
-            content={codeText}
+            content={extractText(children)}
             showLabels={true}
-            className="copy-button text-neutral-500 dark:text-neutral-400 bg-neutral-100 dark:bg-neutral-800 ml-auto"
+            className="copy-button text-neutral-500 dark:text-neutral-400 bg-neutral-100 dark:bg-neutral-800"
           />
         </div>
-        {/* Light mode */}
+        <pre className={className} {...props}>
-        <pre className="dark:hidden m-0 bg-neutral-100 text-sm overflow-x-auto p-4">
+          {children}
-          <code className="font-mono text-sm">
-            {tokens?.light
-              ? tokens.light.map((line: any, i: number) => (
-                  <React.Fragment key={i}>
-                    {line.map((token: any, j: number) => (
-                      <span
-                        key={j}
-                        style={{
-                          color: token.color,
-                        }}
-                      >
-                        {token.content}
-                      </span>
-                    ))}
-                    {i < tokens.light.length - 1 && "\n"}
-                  </React.Fragment>
-                ))
-              : codeText}
-          </code>
-        </pre>
-        {/* Dark mode */}
-        <pre className="hidden dark:block m-0 bg-neutral-800 text-sm overflow-x-auto p-4">
-          <code className="font-mono text-sm">
-            {tokens?.dark
-              ? tokens.dark.map((line: any, i: number) => (
-                  <React.Fragment key={i}>
-                    {line.map((token: any, j: number) => (
-                      <span
-                        key={j}
-                        style={{
-                          color: token.color,
-                        }}
-                      >
-                        {token.content}
-                      </span>
-                    ))}
-                    {i < tokens.dark.length - 1 && "\n"}
-                  </React.Fragment>
-                ))
-              : codeText}
-          </code>
         </pre>
       </div>
     );
@@ -125,14 +68,60 @@ const CodeBlock = React.memo(
 );
 
 const StreamingMarkdownContent: React.FC<StreamingMarkdownContentProps> =
-  React.memo(({ content, isStreaming = false, size, browserToolResult }) => {
+  React.memo(
-    // Build the remark plugins array - keep default GFM and Math, add citations
+    ({ content, isStreaming = false, size, onLastNode, browserToolResult }) => {
+      // Build the remark plugins array
       const remarkPlugins = React.useMemo(() => {
-      return [
+        const plugins: PluggableList = [
-        defaultRemarkPlugins.gfm,
+          remarkGfm,
-        defaultRemarkPlugins.math,
+          [remarkMath, { singleDollarTextMath: false }],
           remarkCitationParser,
         ];
+
+        // Add streaming plugin when in streaming mode
+        if (isStreaming) {
+          plugins.push([remarkStreamingMarkdown, { debug: true, onLastNode }]);
+        }
+
+        return plugins;
+      }, [isStreaming, onLastNode]);
+
+      // Create a custom sanitization schema that allows math elements
+      const sanitizeSchema = React.useMemo(() => {
+        return {
+          ...defaultSchema,
+          attributes: {
+            ...defaultSchema.attributes,
+            span: [
+              ...(defaultSchema.attributes?.span || []),
+              ["className", /^katex/],
+            ],
+            div: [
+              ...(defaultSchema.attributes?.div || []),
+              ["className", /^katex/],
+            ],
+            "ol-citation": ["cursor", "start", "end"],
+          },
+          tagNames: [
+            ...(defaultSchema.tagNames || []),
+            "math",
+            "mrow",
+            "mi",
+            "mo",
+            "mn",
+            "msup",
+            "msub",
+            "mfrac",
+            "mover",
+            "munder",
+            "msqrt",
+            "mroot",
+            "merror",
+            "mspace",
+            "mpadded",
+            "ol-citation",
+          ],
+        };
       }, []);
 
       return (
@@ -155,26 +144,6 @@ const StreamingMarkdownContent: React.FC<StreamingMarkdownContentProps> =
           prose-pre:my-0
           prose-pre:max-w-full
           prose-pre:pt-1
-          [&_table]:border-collapse
-          [&_table]:w-full
-          [&_table]:border
-          [&_table]:border-neutral-200
-          [&_table]:rounded-lg
-          [&_table]:overflow-hidden
-          [&_th]:px-3
-          [&_th]:py-2
-          [&_th]:text-left
-          [&_th]:font-semibold
-          [&_th]:border-b
-          [&_th]:border-r
-          [&_th]:border-neutral-200
-          [&_th:last-child]:border-r-0
-          [&_td]:px-3
-          [&_td]:py-2
-          [&_td]:border-r
-          [&_td]:border-neutral-200
-          [&_td:last-child]:border-r-0
-          [&_tbody_tr:not(:last-child)_td]:border-b
            [&_code:not(pre_code)]:text-neutral-700
           [&_code:not(pre_code)]:bg-neutral-100
           [&_code:not(pre_code)]:font-normal
@@ -191,10 +160,6 @@ const StreamingMarkdownContent: React.FC<StreamingMarkdownContentProps> =
           dark:prose-strong:text-neutral-200
           dark:prose-pre:text-neutral-200
           dark:prose:pre:text-neutral-200
-          dark:[&_table]:border-neutral-700
-          dark:[&_thead]:bg-neutral-800
-          dark:[&_th]:border-neutral-700
-          dark:[&_td]:border-neutral-700
           dark:[&_code:not(pre_code)]:text-neutral-200
           dark:[&_code:not(pre_code)]:bg-neutral-800
           dark:[&_code:not(pre_code)]:font-normal
@@ -207,11 +172,23 @@ const StreamingMarkdownContent: React.FC<StreamingMarkdownContentProps> =
             content={content}
             isStreaming={isStreaming}
           >
-          <Streamdown
+            <Markdown
-            parseIncompleteMarkdown={isStreaming}
-            isAnimating={isStreaming}
               remarkPlugins={remarkPlugins}
-            controls={false}
+              rehypePlugins={
+                [
+                  [rehypeRaw, { allowDangerousHtml: true }],
+                  [rehypeSanitize, sanitizeSchema],
+                  [rehypePrismPlus, { ignoreMissing: true }],
+                  [
+                    rehypeKatex,
+                    {
+                      errorColor: "#000000", // Black instead of red for errors
+                      strict: false, // Be more lenient with parsing
+                      throwOnError: false,
+                    },
+                  ],
+                ] as PluggableList
+              }
               components={{
                 pre: CodeBlock,
                 table: ({
@@ -219,35 +196,38 @@ const StreamingMarkdownContent: React.FC<StreamingMarkdownContentProps> =
                   ...props
                 }: React.HTMLAttributes<HTMLTableElement>) => (
                   <div className="overflow-x-auto max-w-full">
-                  <table
+                    <table {...props}>{children}</table>
-                    {...props}
-                    className="border-collapse w-full border border-neutral-200 dark:border-neutral-700 rounded-lg overflow-hidden"
-                  >
-                    {children}
-                  </table>
                   </div>
                 ),
-              // @ts-expect-error: custom citation type
+                // @ts-expect-error: custom type
                 "ol-citation": ({
                   cursor,
+                  // start,
+                  // end,
                 }: {
                   cursor: number;
                   start: number;
                   end: number;
                 }) => {
+                  // Check if we have a page_stack and if the cursor is valid
                   const pageStack = browserToolResult?.page_stack;
                   const hasValidPage = pageStack && cursor < pageStack.length;
                   const pageUrl = hasValidPage ? pageStack[cursor] : null;
 
+                  // Extract a readable title from the URL if possible
                   const getPageTitle = (url: string) => {
                     if (url.startsWith("search_results_")) {
-                    const searchTerm = url.substring("search_results_".length);
+                      const searchTerm = url.substring(
+                        "search_results_".length,
+                      );
                       return `Search: ${searchTerm}`;
                     }
+                    // For regular URLs, try to extract domain or use full URL
                     try {
                       const urlObj = new URL(url);
                       return urlObj.hostname;
                     } catch {
+                      // If not a valid URL, return as is
                       return url;
                     }
                   };
@@ -258,6 +238,7 @@ const StreamingMarkdownContent: React.FC<StreamingMarkdownContentProps> =
                     </span>
                   );
 
+                  // If we have a valid page URL, wrap in a link
                   if (pageUrl && pageUrl.startsWith("http")) {
                     return (
                       <a
@@ -272,16 +253,18 @@ const StreamingMarkdownContent: React.FC<StreamingMarkdownContentProps> =
                     );
                   }
 
+                  // Otherwise, just return the citation without a link
                   return citationElement;
                 },
               }}
             >
               {content}
-          </Streamdown>
+            </Markdown>
           </StreamingMarkdownErrorBoundary>
         </div>
       );
-  });
+    },
+  );
 
 interface StreamingMarkdownErrorBoundaryProps {
   content: string;

app/ui/app/src/components/Thinking.tsx

@@ -50,9 +50,6 @@ export default function Thinking({
   // Position content to show bottom when collapsed
   useEffect(() => {
     if (isCollapsed && contentRef.current && wrapperRef.current) {
-      requestAnimationFrame(() => {
-        if (!contentRef.current || !wrapperRef.current) return;
-
       const contentHeight = contentRef.current.scrollHeight;
       const wrapperHeight = wrapperRef.current.clientHeight;
       if (contentHeight > wrapperHeight) {
@@ -60,23 +57,14 @@ export default function Thinking({
         contentRef.current.style.transform = `translateY(${translateY}px)`;
         setHasOverflow(true);
       } else {
-          contentRef.current.style.transform = "translateY(0)";
         setHasOverflow(false);
       }
-      });
     } else if (contentRef.current) {
       contentRef.current.style.transform = "translateY(0)";
       setHasOverflow(false);
     }
   }, [thinking, isCollapsed]);
 
-  useEffect(() => {
-    if (activelyThinking && wrapperRef.current && !isCollapsed) {
-      // When expanded and actively thinking, scroll to bottom
-      wrapperRef.current.scrollTop = wrapperRef.current.scrollHeight;
-    }
-  }, [thinking, activelyThinking, isCollapsed]);
-
   const handleToggle = () => {
     setIsCollapsed(!isCollapsed);
     setHasUserInteracted(true);
@@ -85,9 +73,8 @@ export default function Thinking({
   // Calculate max height for smooth animations
   const getMaxHeight = () => {
     if (isCollapsed) {
-      return finishedThinking ? "0px" : "12rem";
+      return finishedThinking ? "0px" : "12rem"; // 8rem = 128px (same as max-h-32)
     }
-    // When expanded, use the content height or grow naturally
     return contentHeight ? `${contentHeight}px` : "none";
   };
 
@@ -144,11 +131,10 @@ export default function Thinking({
       </div>
       <div
         ref={wrapperRef}
-        className={`text-xs text-neutral-500 dark:text-neutral-500 rounded-md
+        className={`text-xs text-neutral-500 dark:text-neutral-500 rounded-md overflow-hidden
-          transition-[max-height,opacity] duration-300 ease-in-out relative ml-6 mt-2
+          transition-[max-height,opacity] duration-300 ease-in-out relative ml-6 mt-2`}
-          ${isCollapsed ? "overflow-hidden" : "overflow-y-auto"}`}
         style={{
-          maxHeight: isCollapsed ? getMaxHeight() : undefined,
+          maxHeight: getMaxHeight(),
           opacity: isCollapsed && finishedThinking ? 0 : 1,
         }}
       >

app/ui/app/src/hooks/useChats.ts

@@ -7,7 +7,6 @@ import { createQueryBatcher } from "./useQueryBatcher";
 import { useRefetchModels } from "./useModels";
 import { useStreamingContext } from "@/contexts/StreamingContext";
 import { useSettings } from "./useSettings";
-import { getModelCapabilities } from "@/api";
 
 export const useChats = () => {
   return useQuery({
@@ -607,24 +606,6 @@ export const useSendMessage = (chatId: string) => {
               queryClient.setQueryData(["staleModels"], newStaleMap);
 
               queryClient.invalidateQueries({ queryKey: ["models"] });
-
-              // Fetch fresh capabilities for the downloaded model
-              getModelCapabilities(selectedModel.model)
-                .then((capabilities) => {
-                  queryClient.setQueryData(
-                    ["modelCapabilities", selectedModel.model],
-                    capabilities,
-                  );
-                })
-                .catch((error) => {
-                  console.error(
-                    "Failed to fetch capabilities after download:",
-                    error,
-                  );
-                  queryClient.invalidateQueries({
-                    queryKey: ["modelCapabilities", selectedModel.model],
-                  });
-                });
             }
             break;
           }

app/ui/app/src/hooks/useDownloadModel.ts

@@ -0,0 +1,114 @@
+import { useMutation, useQueryClient } from "@tanstack/react-query";
+import { useState } from "react";
+import { pullModel } from "@/api";
+import { useSelectedModel } from "./useSelectedModel";
+import { useSettings } from "./useSettings";
+
+interface DownloadProgress {
+  status: string;
+  digest?: string;
+  total?: number;
+  completed?: number;
+  done?: boolean;
+}
+
+export function useDownloadModel(chatId?: string) {
+  const queryClient = useQueryClient();
+  const { selectedModel } = useSelectedModel(chatId);
+  const { setSettings } = useSettings();
+  const [downloadProgress, setDownloadProgress] =
+    useState<DownloadProgress | null>(null);
+  const [abortController, setAbortController] =
+    useState<AbortController | null>(null);
+  const [downloadingChatIds, setDownloadingChatIds] = useState<Set<string>>(
+    new Set(),
+  );
+
+  const mutation = useMutation({
+    mutationFn: async (modelName: string) => {
+      const controller = new AbortController();
+      setAbortController(controller);
+      setDownloadProgress({ status: "Starting download..." });
+      if (chatId) {
+        setDownloadingChatIds((prev) => new Set(prev).add(chatId));
+      }
+
+      try {
+        for await (const progress of pullModel(modelName, controller.signal)) {
+          setDownloadProgress(progress);
+
+          if (progress.status === "success") {
+            // Update selected model to indicate it's now available locally
+            if (selectedModel && selectedModel.model === modelName) {
+              setSettings({ SelectedModel: modelName });
+            }
+            // Invalidate models query to refresh the list
+            await queryClient.invalidateQueries({ queryKey: ["models"] });
+            break;
+          }
+        }
+      } finally {
+        setAbortController(null);
+        if (chatId) {
+          setDownloadingChatIds((prev) => {
+            const newSet = new Set(prev);
+            newSet.delete(chatId);
+            return newSet;
+          });
+        }
+      }
+    },
+    onSuccess: () => {
+      setDownloadProgress(null);
+      if (chatId) {
+        setDownloadingChatIds((prev) => {
+          const newSet = new Set(prev);
+          newSet.delete(chatId);
+          return newSet;
+        });
+      }
+    },
+    onError: (error: Error) => {
+      const status =
+        error.name === "AbortError" ? "Download cancelled" : "Download failed";
+      setDownloadProgress({ status, done: true });
+
+      // Clear error message after delay
+      const delay = error.name === "AbortError" ? 1500 : 3000;
+      setTimeout(() => {
+        setDownloadProgress(null);
+        if (chatId) {
+          setDownloadingChatIds((prev) => {
+            const newSet = new Set(prev);
+            newSet.delete(chatId);
+            return newSet;
+          });
+        }
+      }, delay);
+    },
+  });
+
+  const cancelDownload = () => {
+    if (abortController) {
+      abortController.abort();
+      setAbortController(null);
+      if (chatId) {
+        setDownloadingChatIds((prev) => {
+          const newSet = new Set(prev);
+          newSet.delete(chatId);
+          return newSet;
+        });
+      }
+    }
+  };
+
+  return {
+    downloadModel: mutation.mutate,
+    isDownloading:
+      mutation.isPending && chatId ? downloadingChatIds.has(chatId) : false,
+    downloadProgress:
+      chatId && downloadingChatIds.has(chatId) ? downloadProgress : null,
+    error: mutation.error,
+    cancelDownload,
+  };
+}

app/ui/app/src/hooks/useUser.ts

@@ -1,20 +1,29 @@
 import { useQuery, useMutation, useQueryClient } from "@tanstack/react-query";
+import { useEffect, useState } from "react";
 import { fetchUser, fetchConnectUrl, disconnectUser } from "@/api";
 
 export function useUser() {
   const queryClient = useQueryClient();
+  const [initialDataLoaded, setInitialDataLoaded] = useState(false);
+
+  // Wait for initial data to be loaded
+  useEffect(() => {
+    const initialPromise = window.__initialUserDataPromise;
+    if (initialPromise) {
+      initialPromise.finally(() => {
+        setInitialDataLoaded(true);
+      });
+    } else {
+      setInitialDataLoaded(true);
+    }
+  }, []);
 
   const userQuery = useQuery({
     queryKey: ["user"],
-    queryFn: async () => {
+    queryFn: () => fetchUser(),
-      const result = await fetchUser();
-      return result;
-    },
     staleTime: 5 * 60 * 1000, // Consider data stale after 5 minutes
     gcTime: 10 * 60 * 1000, // Keep in cache for 10 minutes
-    retry: 10,
+    initialData: null, // Start with null to prevent flashing
-    retryDelay: (attemptIndex) => Math.min(500 * attemptIndex, 2000),
-    refetchOnMount: true, // Always fetch when component mounts
   });
 
   // Mutation to refresh user data
@@ -40,15 +49,14 @@ export function useUser() {
     },
   });
 
-  const isLoading = userQuery.isLoading || userQuery.isFetching;
-  const isAuthenticated = Boolean(userQuery.data?.name);
-
   return {
     user: userQuery.data,
-    isLoading,
+    isLoading:
+      !initialDataLoaded ||
+      (userQuery.isLoading && userQuery.data === undefined), // Show loading until initial data is loaded
     isError: userQuery.isError,
     error: userQuery.error,
-    isAuthenticated,
+    isAuthenticated: Boolean(userQuery.data?.name),
     refreshUser: refreshUser.mutate,
     isRefreshing: refreshUser.isPending,
     refetchUser: userQuery.refetch,

app/ui/app/src/index.css

@@ -16,6 +16,793 @@
     --text-color: #ffffff;
   }
 }
+@media (prefers-color-scheme: light) {
+  .prose {
+    /**
+    * One Light theme for prism.js
+    * Based on Atom's One Light theme: https://github.com/atom/atom/tree/master/packages/one-light-syntax
+    */
+
+    /**
+    * One Light colours (accurate as of commit eb064bf on 19 Feb 2021)
+    * From colors.less
+    * --mono-1: hsl(230, 8%, 24%);
+    * --mono-2: hsl(230, 6%, 44%);
+    * --mono-3: hsl(230, 4%, 64%)
+    * --hue-1: hsl(198, 99%, 37%);
+    * --hue-2: hsl(221, 87%, 60%);
+    * --hue-3: hsl(301, 63%, 40%);
+    * --hue-4: hsl(119, 34%, 47%);
+    * --hue-5: hsl(5, 74%, 59%);
+    * --hue-5-2: hsl(344, 84%, 43%);
+    * --hue-6: hsl(35, 99%, 36%);
+    * --hue-6-2: hsl(35, 99%, 40%);
+    * --syntax-fg: hsl(230, 8%, 24%);
+    * --syntax-bg: hsl(230, 1%, 98%);
+    * --syntax-gutter: hsl(230, 1%, 62%);
+    * --syntax-guide: hsla(230, 8%, 24%, 0.2);
+    * --syntax-accent: hsl(230, 100%, 66%);
+    * From syntax-variables.less
+    * --syntax-selection-color: hsl(230, 1%, 90%);
+    * --syntax-gutter-background-color-selected: hsl(230, 1%, 90%);
+    * --syntax-cursor-line: hsla(230, 8%, 24%, 0.05);
+    */
+
+    .token.comment,
+    .token.prolog,
+    .token.cdata {
+      color: hsl(230, 4%, 64%);
+    }
+
+    .token.doctype,
+    .token.punctuation,
+    .token.entity {
+      color: hsl(230, 8%, 24%);
+    }
+
+    .token.attr-name,
+    .token.class-name,
+    .token.boolean,
+    .token.constant,
+    .token.number,
+    .token.atrule {
+      color: hsl(35, 99%, 36%);
+    }
+
+    .token.keyword {
+      color: hsl(301, 63%, 40%);
+    }
+
+    .token.property,
+    .token.tag,
+    .token.symbol,
+    .token.deleted,
+    .token.important {
+      color: hsl(5, 74%, 59%);
+    }
+
+    .token.selector,
+    .token.string,
+    .token.char,
+    .token.builtin,
+    .token.inserted,
+    .token.regex,
+    .token.attr-value,
+    .token.attr-value > .token.punctuation {
+      color: hsl(119, 34%, 47%);
+    }
+
+    .token.variable,
+    .token.operator,
+    .token.function {
+      color: hsl(221, 87%, 60%);
+    }
+
+    .token.url {
+      color: hsl(198, 99%, 37%);
+    }
+
+    /* HTML overrides */
+    .token.attr-value > .token.punctuation.attr-equals,
+    .token.special-attr > .token.attr-value > .token.value.css {
+      color: hsl(230, 8%, 24%);
+    }
+
+    /* CSS overrides */
+    .language-css .token.selector {
+      color: hsl(5, 74%, 59%);
+    }
+
+    .language-css .token.property {
+      color: hsl(230, 8%, 24%);
+    }
+
+    .language-css .token.function,
+    .language-css .token.url > .token.function {
+      color: hsl(198, 99%, 37%);
+    }
+
+    .language-css .token.url > .token.string.url {
+      color: hsl(119, 34%, 47%);
+    }
+
+    .language-css .token.important,
+    .language-css .token.atrule .token.rule {
+      color: hsl(301, 63%, 40%);
+    }
+
+    /* JS overrides */
+    .language-javascript .token.operator {
+      color: hsl(301, 63%, 40%);
+    }
+
+    .language-javascript
+      .token.template-string
+      > .token.interpolation
+      > .token.interpolation-punctuation.punctuation {
+      color: hsl(344, 84%, 43%);
+    }
+
+    /* JSON overrides */
+    .language-json .token.operator {
+      color: hsl(230, 8%, 24%);
+    }
+
+    .language-json .token.null.keyword {
+      color: hsl(35, 99%, 36%);
+    }
+
+    /* MD overrides */
+    .language-markdown .token.url,
+    .language-markdown .token.url > .token.operator,
+    .language-markdown .token.url-reference.url > .token.string {
+      color: hsl(230, 8%, 24%);
+    }
+
+    .language-markdown .token.url > .token.content {
+      color: hsl(221, 87%, 60%);
+    }
+
+    .language-markdown .token.url > .token.url,
+    .language-markdown .token.url-reference.url {
+      color: hsl(198, 99%, 37%);
+    }
+
+    .language-markdown .token.blockquote.punctuation,
+    .language-markdown .token.hr.punctuation {
+      color: hsl(230, 4%, 64%);
+      font-style: italic;
+    }
+
+    .language-markdown .token.code-snippet {
+      color: hsl(119, 34%, 47%);
+    }
+
+    .language-markdown .token.bold .token.content {
+      color: hsl(35, 99%, 36%);
+    }
+
+    .language-markdown .token.italic .token.content {
+      color: hsl(301, 63%, 40%);
+    }
+
+    .language-markdown .token.strike .token.content,
+    .language-markdown .token.strike .token.punctuation,
+    .language-markdown .token.list.punctuation,
+    .language-markdown .token.title.important > .token.punctuation {
+      color: hsl(5, 74%, 59%);
+    }
+
+    /* General */
+    .token.bold {
+      font-weight: bold;
+    }
+
+    .token.comment,
+    .token.italic {
+      font-style: italic;
+    }
+
+    .token.entity {
+      cursor: help;
+    }
+
+    .token.namespace {
+      opacity: 0.8;
+    }
+
+    /* Plugin overrides */
+    /* Selectors should have higher specificity than those in the plugins' default stylesheets */
+
+    /* Show Invisibles plugin overrides */
+    .token.token.tab:not(:empty):before,
+    .token.token.cr:before,
+    .token.token.lf:before,
+    .token.token.space:before {
+      color: hsla(230, 8%, 24%, 0.2);
+    }
+
+    /* Toolbar plugin overrides */
+    /* Space out all buttons and move them away from the right edge of the code block */
+    div.code-toolbar > .toolbar.toolbar > .toolbar-item {
+      margin-right: 0.4em;
+    }
+
+    /* Styling the buttons */
+    div.code-toolbar > .toolbar.toolbar > .toolbar-item > button,
+    div.code-toolbar > .toolbar.toolbar > .toolbar-item > a,
+    div.code-toolbar > .toolbar.toolbar > .toolbar-item > span {
+      background: hsl(230, 1%, 90%);
+      color: hsl(230, 6%, 44%);
+      padding: 0.1em 0.4em;
+      border-radius: 0.3em;
+    }
+
+    div.code-toolbar > .toolbar.toolbar > .toolbar-item > button:hover,
+    div.code-toolbar > .toolbar.toolbar > .toolbar-item > button:focus,
+    div.code-toolbar > .toolbar.toolbar > .toolbar-item > a:hover,
+    div.code-toolbar > .toolbar.toolbar > .toolbar-item > a:focus,
+    div.code-toolbar > .toolbar.toolbar > .toolbar-item > span:hover,
+    div.code-toolbar > .toolbar.toolbar > .toolbar-item > span:focus {
+      background: hsl(230, 1%, 78%); /* custom: darken(--syntax-bg, 20%) */
+      color: hsl(230, 8%, 24%);
+    }
+
+    /* Line Highlight plugin overrides */
+    /* The highlighted line itself */
+    .line-highlight.line-highlight {
+      background: hsla(230, 8%, 24%, 0.05);
+    }
+
+    /* Default line numbers in Line Highlight plugin */
+    .line-highlight.line-highlight:before,
+    .line-highlight.line-highlight[data-end]:after {
+      background: hsl(230, 1%, 90%);
+      color: hsl(230, 8%, 24%);
+      padding: 0.1em 0.6em;
+      border-radius: 0.3em;
+      box-shadow: 0 2px 0 0 rgba(0, 0, 0, 0.2); /* same as Toolbar plugin default */
+    }
+
+    /* Hovering over a linkable line number (in the gutter area) */
+    /* Requires Line Numbers plugin as well */
+    pre[id].linkable-line-numbers.linkable-line-numbers
+      span.line-numbers-rows
+      > span:hover:before {
+      background-color: hsla(230, 8%, 24%, 0.05);
+    }
+
+    /* Line Numbers and Command Line plugins overrides */
+    /* Line separating gutter from coding area */
+    .line-numbers.line-numbers .line-numbers-rows,
+    .command-line .command-line-prompt {
+      border-right-color: hsla(230, 8%, 24%, 0.2);
+    }
+
+    /* Stuff in the gutter */
+    .line-numbers .line-numbers-rows > span:before,
+    .command-line .command-line-prompt > span:before {
+      color: hsl(230, 1%, 62%);
+    }
+
+    /* Match Braces plugin overrides */
+    /* Note: Outline colour is inherited from the braces */
+    .rainbow-braces .token.token.punctuation.brace-level-1,
+    .rainbow-braces .token.token.punctuation.brace-level-5,
+    .rainbow-braces .token.token.punctuation.brace-level-9 {
+      color: hsl(5, 74%, 59%);
+    }
+
+    .rainbow-braces .token.token.punctuation.brace-level-2,
+    .rainbow-braces .token.token.punctuation.brace-level-6,
+    .rainbow-braces .token.token.punctuation.brace-level-10 {
+      color: hsl(119, 34%, 47%);
+    }
+
+    .rainbow-braces .token.token.punctuation.brace-level-3,
+    .rainbow-braces .token.token.punctuation.brace-level-7,
+    .rainbow-braces .token.token.punctuation.brace-level-11 {
+      color: hsl(221, 87%, 60%);
+    }
+
+    .rainbow-braces .token.token.punctuation.brace-level-4,
+    .rainbow-braces .token.token.punctuation.brace-level-8,
+    .rainbow-braces .token.token.punctuation.brace-level-12 {
+      color: hsl(301, 63%, 40%);
+    }
+
+    /* Diff Highlight plugin overrides */
+    /* Taken from https://github.com/atom/github/blob/master/styles/variables.less */
+    pre.diff-highlight > code .token.token.deleted:not(.prefix),
+    pre > code.diff-highlight .token.token.deleted:not(.prefix) {
+      background-color: hsla(353, 100%, 66%, 0.15);
+    }
+
+    pre.diff-highlight > code .token.token.deleted:not(.prefix)::-moz-selection,
+    pre.diff-highlight
+      > code
+      .token.token.deleted:not(.prefix)
+      *::-moz-selection,
+    pre > code.diff-highlight .token.token.deleted:not(.prefix)::-moz-selection,
+    pre
+      > code.diff-highlight
+      .token.token.deleted:not(.prefix)
+      *::-moz-selection {
+      background-color: hsla(353, 95%, 66%, 0.25);
+    }
+
+    pre.diff-highlight > code .token.token.deleted:not(.prefix)::selection,
+    pre.diff-highlight > code .token.token.deleted:not(.prefix) *::selection,
+    pre > code.diff-highlight .token.token.deleted:not(.prefix)::selection,
+    pre > code.diff-highlight .token.token.deleted:not(.prefix) *::selection {
+      background-color: hsla(353, 95%, 66%, 0.25);
+    }
+
+    pre.diff-highlight > code .token.token.inserted:not(.prefix),
+    pre > code.diff-highlight .token.token.inserted:not(.prefix) {
+      background-color: hsla(137, 100%, 55%, 0.15);
+    }
+
+    pre.diff-highlight
+      > code
+      .token.token.inserted:not(.prefix)::-moz-selection,
+    pre.diff-highlight
+      > code
+      .token.token.inserted:not(.prefix)
+      *::-moz-selection,
+    pre
+      > code.diff-highlight
+      .token.token.inserted:not(.prefix)::-moz-selection,
+    pre
+      > code.diff-highlight
+      .token.token.inserted:not(.prefix)
+      *::-moz-selection {
+      background-color: hsla(135, 73%, 55%, 0.25);
+    }
+
+    pre.diff-highlight > code .token.token.inserted:not(.prefix)::selection,
+    pre.diff-highlight > code .token.token.inserted:not(.prefix) *::selection,
+    pre > code.diff-highlight .token.token.inserted:not(.prefix)::selection,
+    pre > code.diff-highlight .token.token.inserted:not(.prefix) *::selection {
+      background-color: hsla(135, 73%, 55%, 0.25);
+    }
+
+    /* Previewers plugin overrides */
+    /* Based on https://github.com/atom-community/atom-ide-datatip/blob/master/styles/atom-ide-datatips.less and https://github.com/atom/atom/blob/master/packages/one-light-ui */
+    /* Border around popup */
+    .prism-previewer.prism-previewer:before,
+    .prism-previewer-gradient.prism-previewer-gradient div {
+      border-color: hsl(0, 0, 95%);
+    }
+
+    /* Angle and time should remain as circles and are hence not included */
+    .prism-previewer-color.prism-previewer-color:before,
+    .prism-previewer-gradient.prism-previewer-gradient div,
+    .prism-previewer-easing.prism-previewer-easing:before {
+      border-radius: 0.3em;
+    }
+
+    /* Triangles pointing to the code */
+    .prism-previewer.prism-previewer:after {
+      border-top-color: hsl(0, 0, 95%);
+    }
+
+    .prism-previewer-flipped.prism-previewer-flipped.after {
+      border-bottom-color: hsl(0, 0, 95%);
+    }
+
+    /* Background colour within the popup */
+    .prism-previewer-angle.prism-previewer-angle:before,
+    .prism-previewer-time.prism-previewer-time:before,
+    .prism-previewer-easing.prism-previewer-easing {
+      background: hsl(0, 0%, 100%);
+    }
+
+    /* For angle, this is the positive area (eg. 90deg will display one quadrant in this colour) */
+    /* For time, this is the alternate colour */
+    .prism-previewer-angle.prism-previewer-angle circle,
+    .prism-previewer-time.prism-previewer-time circle {
+      stroke: hsl(230, 8%, 24%);
+      stroke-opacity: 1;
+    }
+
+    /* Stroke colours of the handle, direction point, and vector itself */
+    .prism-previewer-easing.prism-previewer-easing circle,
+    .prism-previewer-easing.prism-previewer-easing path,
+    .prism-previewer-easing.prism-previewer-easing line {
+      stroke: hsl(230, 8%, 24%);
+    }
+
+    /* Fill colour of the handle */
+    .prism-previewer-easing.prism-previewer-easing circle {
+      fill: transparent;
+    }
+  }
+}
+
+@media (prefers-color-scheme: dark) {
+  .prose {
+    .token.comment,
+    .token.prolog,
+    .token.cdata {
+      color: hsl(220, 10%, 40%);
+    }
+
+    .token.doctype,
+    .token.punctuation,
+    .token.entity {
+      color: hsl(220, 14%, 71%);
+    }
+
+    .token.attr-name,
+    .token.class-name,
+    .token.boolean,
+    .token.constant,
+    .token.number,
+    .token.atrule {
+      color: hsl(29, 54%, 61%);
+    }
+
+    .token.keyword {
+      color: hsl(286, 60%, 67%);
+    }
+
+    .token.property,
+    .token.tag,
+    .token.symbol,
+    .token.deleted,
+    .token.important {
+      color: hsl(355, 65%, 65%);
+    }
+
+    .token.selector,
+    .token.string,
+    .token.char,
+    .token.builtin,
+    .token.inserted,
+    .token.regex,
+    .token.attr-value,
+    .token.attr-value > .token.punctuation {
+      color: hsl(95, 38%, 62%);
+    }
+
+    .token.variable,
+    .token.operator,
+    .token.function {
+      color: hsl(207, 82%, 66%);
+    }
+
+    .token.url {
+      color: hsl(187, 47%, 55%);
+    }
+
+    /* HTML overrides */
+    .token.attr-value > .token.punctuation.attr-equals,
+    .token.special-attr > .token.attr-value > .token.value.css {
+      color: hsl(220, 14%, 71%);
+    }
+
+    /* CSS overrides */
+    .language-css .token.selector {
+      color: hsl(355, 65%, 65%);
+    }
+
+    .language-css .token.property {
+      color: hsl(220, 14%, 71%);
+    }
+
+    .language-css .token.function,
+    .language-css .token.url > .token.function {
+      color: hsl(187, 47%, 55%);
+    }
+
+    .language-css .token.url > .token.string.url {
+      color: hsl(95, 38%, 62%);
+    }
+
+    .language-css .token.important,
+    .language-css .token.atrule .token.rule {
+      color: hsl(286, 60%, 67%);
+    }
+
+    /* JS overrides */
+    .language-javascript .token.operator {
+      color: hsl(286, 60%, 67%);
+    }
+
+    .language-javascript
+      .token.template-string
+      > .token.interpolation
+      > .token.interpolation-punctuation.punctuation {
+      color: hsl(5, 48%, 51%);
+    }
+
+    /* JSON overrides */
+    .language-json .token.operator {
+      color: hsl(220, 14%, 71%);
+    }
+
+    .language-json .token.null.keyword {
+      color: hsl(29, 54%, 61%);
+    }
+
+    /* MD overrides */
+    .language-markdown .token.url,
+    .language-markdown .token.url > .token.operator,
+    .language-markdown .token.url-reference.url > .token.string {
+      color: hsl(220, 14%, 71%);
+    }
+
+    .language-markdown .token.url > .token.content {
+      color: hsl(207, 82%, 66%);
+    }
+
+    .language-markdown .token.url > .token.url,
+    .language-markdown .token.url-reference.url {
+      color: hsl(187, 47%, 55%);
+    }
+
+    .language-markdown .token.blockquote.punctuation,
+    .language-markdown .token.hr.punctuation {
+      color: hsl(220, 10%, 40%);
+      font-style: italic;
+    }
+
+    .language-markdown .token.code-snippet {
+      color: hsl(95, 38%, 62%);
+    }
+
+    .language-markdown .token.bold .token.content {
+      color: hsl(29, 54%, 61%);
+    }
+
+    .language-markdown .token.italic .token.content {
+      color: hsl(286, 60%, 67%);
+    }
+
+    .language-markdown .token.strike .token.content,
+    .language-markdown .token.strike .token.punctuation,
+    .language-markdown .token.list.punctuation,
+    .language-markdown .token.title.important > .token.punctuation {
+      color: hsl(355, 65%, 65%);
+    }
+
+    /* General */
+    .token.bold {
+      font-weight: bold;
+    }
+
+    .token.comment,
+    .token.italic {
+      font-style: italic;
+    }
+
+    .token.entity {
+      cursor: help;
+    }
+
+    .token.namespace {
+      opacity: 0.8;
+    }
+
+    /* Plugin overrides */
+    /* Selectors should have higher specificity than those in the plugins' default stylesheets */
+
+    /* Show Invisibles plugin overrides */
+    .token.token.tab:not(:empty):before,
+    .token.token.cr:before,
+    .token.token.lf:before,
+    .token.token.space:before {
+      color: hsla(220, 14%, 71%, 0.15);
+      text-shadow: none;
+    }
+
+    /* Toolbar plugin overrides */
+    /* Space out all buttons and move them away from the right edge of the code block */
+    div.code-toolbar > .toolbar.toolbar > .toolbar-item {
+      margin-right: 0.4em;
+    }
+
+    /* Styling the buttons */
+    div.code-toolbar > .toolbar.toolbar > .toolbar-item > button,
+    div.code-toolbar > .toolbar.toolbar > .toolbar-item > a,
+    div.code-toolbar > .toolbar.toolbar > .toolbar-item > span {
+      background: hsl(220, 13%, 26%);
+      color: hsl(220, 9%, 55%);
+      padding: 0.1em 0.4em;
+      border-radius: 0.3em;
+    }
+
+    div.code-toolbar > .toolbar.toolbar > .toolbar-item > button:hover,
+    div.code-toolbar > .toolbar.toolbar > .toolbar-item > button:focus,
+    div.code-toolbar > .toolbar.toolbar > .toolbar-item > a:hover,
+    div.code-toolbar > .toolbar.toolbar > .toolbar-item > a:focus,
+    div.code-toolbar > .toolbar.toolbar > .toolbar-item > span:hover,
+    div.code-toolbar > .toolbar.toolbar > .toolbar-item > span:focus {
+      background: hsl(220, 13%, 28%);
+      color: hsl(220, 14%, 71%);
+    }
+
+    /* Line Highlight plugin overrides */
+    /* The highlighted line itself */
+    .line-highlight.line-highlight {
+      background: hsla(220, 100%, 80%, 0.04);
+    }
+
+    /* Default line numbers in Line Highlight plugin */
+    .line-highlight.line-highlight:before,
+    .line-highlight.line-highlight[data-end]:after {
+      background: hsl(220, 13%, 26%);
+      color: hsl(220, 14%, 71%);
+      padding: 0.1em 0.6em;
+      border-radius: 0.3em;
+      box-shadow: 0 2px 0 0 rgba(0, 0, 0, 0.2); /* same as Toolbar plugin default */
+    }
+
+    /* Hovering over a linkable line number (in the gutter area) */
+    /* Requires Line Numbers plugin as well */
+    pre[id].linkable-line-numbers.linkable-line-numbers
+      span.line-numbers-rows
+      > span:hover:before {
+      background-color: hsla(220, 100%, 80%, 0.04);
+    }
+
+    /* Line Numbers and Command Line plugins overrides */
+    /* Line separating gutter from coding area */
+    .line-numbers.line-numbers .line-numbers-rows,
+    .command-line .command-line-prompt {
+      border-right-color: hsla(220, 14%, 71%, 0.15);
+    }
+
+    /* Stuff in the gutter */
+    .line-numbers .line-numbers-rows > span:before,
+    .command-line .command-line-prompt > span:before {
+      color: hsl(220, 14%, 45%);
+    }
+
+    /* Match Braces plugin overrides */
+    /* Note: Outline colour is inherited from the braces */
+    .rainbow-braces .token.token.punctuation.brace-level-1,
+    .rainbow-braces .token.token.punctuation.brace-level-5,
+    .rainbow-braces .token.token.punctuation.brace-level-9 {
+      color: hsl(355, 65%, 65%);
+    }
+
+    .rainbow-braces .token.token.punctuation.brace-level-2,
+    .rainbow-braces .token.token.punctuation.brace-level-6,
+    .rainbow-braces .token.token.punctuation.brace-level-10 {
+      color: hsl(95, 38%, 62%);
+    }
+
+    .rainbow-braces .token.token.punctuation.brace-level-3,
+    .rainbow-braces .token.token.punctuation.brace-level-7,
+    .rainbow-braces .token.token.punctuation.brace-level-11 {
+      color: hsl(207, 82%, 66%);
+    }
+
+    .rainbow-braces .token.token.punctuation.brace-level-4,
+    .rainbow-braces .token.token.punctuation.brace-level-8,
+    .rainbow-braces .token.token.punctuation.brace-level-12 {
+      color: hsl(286, 60%, 67%);
+    }
+
+    /* Diff Highlight plugin overrides */
+    /* Taken from https://github.com/atom/github/blob/master/styles/variables.less */
+    pre.diff-highlight > code .token.token.deleted:not(.prefix),
+    pre > code.diff-highlight .token.token.deleted:not(.prefix) {
+      background-color: hsla(353, 100%, 66%, 0.15);
+    }
+
+    pre.diff-highlight > code .token.token.deleted:not(.prefix)::-moz-selection,
+    pre.diff-highlight
+      > code
+      .token.token.deleted:not(.prefix)
+      *::-moz-selection,
+    pre > code.diff-highlight .token.token.deleted:not(.prefix)::-moz-selection,
+    pre
+      > code.diff-highlight
+      .token.token.deleted:not(.prefix)
+      *::-moz-selection {
+      background-color: hsla(353, 95%, 66%, 0.25);
+    }
+
+    pre.diff-highlight > code .token.token.deleted:not(.prefix)::selection,
+    pre.diff-highlight > code .token.token.deleted:not(.prefix) *::selection,
+    pre > code.diff-highlight .token.token.deleted:not(.prefix)::selection,
+    pre > code.diff-highlight .token.token.deleted:not(.prefix) *::selection {
+      background-color: hsla(353, 95%, 66%, 0.25);
+    }
+
+    pre.diff-highlight > code .token.token.inserted:not(.prefix),
+    pre > code.diff-highlight .token.token.inserted:not(.prefix) {
+      background-color: hsla(137, 100%, 55%, 0.15);
+    }
+
+    pre.diff-highlight
+      > code
+      .token.token.inserted:not(.prefix)::-moz-selection,
+    pre.diff-highlight
+      > code
+      .token.token.inserted:not(.prefix)
+      *::-moz-selection,
+    pre
+      > code.diff-highlight
+      .token.token.inserted:not(.prefix)::-moz-selection,
+    pre
+      > code.diff-highlight
+      .token.token.inserted:not(.prefix)
+      *::-moz-selection {
+      background-color: hsla(135, 73%, 55%, 0.25);
+    }
+
+    pre.diff-highlight > code .token.token.inserted:not(.prefix)::selection,
+    pre.diff-highlight > code .token.token.inserted:not(.prefix) *::selection,
+    pre > code.diff-highlight .token.token.inserted:not(.prefix)::selection,
+    pre > code.diff-highlight .token.token.inserted:not(.prefix) *::selection {
+      background-color: hsla(135, 73%, 55%, 0.25);
+    }
+
+    /* Previewers plugin overrides */
+    /* Based on https://github.com/atom-community/atom-ide-datatip/blob/master/styles/atom-ide-datatips.less and https://github.com/atom/atom/blob/master/packages/one-dark-ui */
+    /* Border around popup */
+    .prism-previewer.prism-previewer:before,
+    .prism-previewer-gradient.prism-previewer-gradient div {
+      border-color: hsl(224, 13%, 17%);
+    }
+
+    /* Angle and time should remain as circles and are hence not included */
+    .prism-previewer-color.prism-previewer-color:before,
+    .prism-previewer-gradient.prism-previewer-gradient div,
+    .prism-previewer-easing.prism-previewer-easing:before {
+      border-radius: 0.3em;
+    }
+
+    /* Triangles pointing to the code */
+    .prism-previewer.prism-previewer:after {
+      border-top-color: hsl(224, 13%, 17%);
+    }
+
+    .prism-previewer-flipped.prism-previewer-flipped.after {
+      border-bottom-color: hsl(224, 13%, 17%);
+    }
+
+    /* Background colour within the popup */
+    .prism-previewer-angle.prism-previewer-angle:before,
+    .prism-previewer-time.prism-previewer-time:before,
+    .prism-previewer-easing.prism-previewer-easing {
+      background: hsl(219, 13%, 22%);
+    }
+
+    /* For angle, this is the positive area (eg. 90deg will display one quadrant in this colour) */
+    /* For time, this is the alternate colour */
+    .prism-previewer-angle.prism-previewer-angle circle,
+    .prism-previewer-time.prism-previewer-time circle {
+      stroke: hsl(220, 14%, 71%);
+      stroke-opacity: 1;
+    }
+
+    /* Stroke colours of the handle, direction point, and vector itself */
+    .prism-previewer-easing.prism-previewer-easing circle,
+    .prism-previewer-easing.prism-previewer-easing path,
+    .prism-previewer-easing.prism-previewer-easing line {
+      stroke: hsl(220, 14%, 71%);
+    }
+
+    /* Fill colour of the handle */
+    .prism-previewer-easing.prism-previewer-easing circle {
+      fill: transparent;
+    }
+  }
+}
+
+.prose pre {
+  contain: layout style;
+}
+
+/* Or more aggressively */
+.prose pre code {
+  contain: layout style paint;
+}
 
 /* messaging-style typing indicator animation */
 @keyframes typing {

app/ui/app/src/lib/config.ts

@@ -1,13 +0,0 @@
-// API configuration
-const DEV_API_URL = "http://127.0.0.1:3001";
-
-// Base URL for fetch API calls (can be relative in production)
-export const API_BASE = import.meta.env.DEV ? DEV_API_URL : "";
-
-// Full host URL for Ollama client (needs full origin in production)
-export const OLLAMA_HOST = import.meta.env.DEV
-  ? DEV_API_URL
-  : window.location.origin;
-
-export const OLLAMA_DOT_COM =
-  import.meta.env.VITE_OLLAMA_DOT_COM_URL || "https://ollama.com";

app/ui/app/src/lib/highlighter.ts

@@ -1,157 +0,0 @@
-import { createHighlighter } from "shiki";
-import type { ThemeRegistration } from "shiki";
-
-const oneLightTheme: ThemeRegistration = {
-  name: "one-light",
-  type: "light",
-  colors: {
-    "editor.background": "#fafafa",
-    "editor.foreground": "#383a42",
-  },
-  tokenColors: [
-    {
-      scope: ["comment", "punctuation.definition.comment"],
-      settings: { foreground: "#a0a1a7" },
-    },
-    {
-      scope: ["keyword", "storage.type", "storage.modifier"],
-      settings: { foreground: "#a626a4" },
-    },
-    { scope: ["string", "string.quoted"], settings: { foreground: "#50a14f" } },
-    {
-      scope: ["function", "entity.name.function", "support.function"],
-      settings: { foreground: "#4078f2" },
-    },
-    {
-      scope: [
-        "constant.numeric",
-        "constant.language",
-        "constant.character",
-        "number",
-      ],
-      settings: { foreground: "#c18401" },
-    },
-    {
-      scope: ["variable", "support.variable"],
-      settings: { foreground: "#e45649" },
-    },
-    {
-      scope: ["entity.name.tag", "entity.name.type", "entity.name.class"],
-      settings: { foreground: "#e45649" },
-    },
-    {
-      scope: ["entity.other.attribute-name"],
-      settings: { foreground: "#c18401" },
-    },
-    {
-      scope: ["keyword.operator", "operator"],
-      settings: { foreground: "#a626a4" },
-    },
-    { scope: ["punctuation"], settings: { foreground: "#383a42" } },
-    {
-      scope: ["markup.heading"],
-      settings: { foreground: "#e45649", fontStyle: "bold" },
-    },
-    {
-      scope: ["markup.bold"],
-      settings: { foreground: "#c18401", fontStyle: "bold" },
-    },
-    {
-      scope: ["markup.italic"],
-      settings: { foreground: "#a626a4", fontStyle: "italic" },
-    },
-  ],
-};
-
-const oneDarkTheme: ThemeRegistration = {
-  name: "one-dark",
-  type: "dark",
-  colors: {
-    "editor.background": "#282c34",
-    "editor.foreground": "#abb2bf",
-  },
-  tokenColors: [
-    {
-      scope: ["comment", "punctuation.definition.comment"],
-      settings: { foreground: "#5c6370" },
-    },
-    {
-      scope: ["keyword", "storage.type", "storage.modifier"],
-      settings: { foreground: "#c678dd" },
-    },
-    { scope: ["string", "string.quoted"], settings: { foreground: "#98c379" } },
-    {
-      scope: ["function", "entity.name.function", "support.function"],
-      settings: { foreground: "#61afef" },
-    },
-    {
-      scope: [
-        "constant.numeric",
-        "constant.language",
-        "constant.character",
-        "number",
-      ],
-      settings: { foreground: "#d19a66" },
-    },
-    {
-      scope: ["variable", "support.variable"],
-      settings: { foreground: "#e06c75" },
-    },
-    {
-      scope: ["entity.name.tag", "entity.name.type", "entity.name.class"],
-      settings: { foreground: "#e06c75" },
-    },
-    {
-      scope: ["entity.other.attribute-name"],
-      settings: { foreground: "#d19a66" },
-    },
-    {
-      scope: ["keyword.operator", "operator"],
-      settings: { foreground: "#c678dd" },
-    },
-    { scope: ["punctuation"], settings: { foreground: "#abb2bf" } },
-    {
-      scope: ["markup.heading"],
-      settings: { foreground: "#e06c75", fontStyle: "bold" },
-    },
-    {
-      scope: ["markup.bold"],
-      settings: { foreground: "#d19a66", fontStyle: "bold" },
-    },
-    {
-      scope: ["markup.italic"],
-      settings: { foreground: "#c678dd", fontStyle: "italic" },
-    },
-  ],
-};
-
-export let highlighter: Awaited<ReturnType<typeof createHighlighter>> | null =
-  null;
-
-export const highlighterPromise = createHighlighter({
-  themes: [oneLightTheme, oneDarkTheme],
-  langs: [
-    "javascript",
-    "typescript",
-    "python",
-    "bash",
-    "shell",
-    "json",
-    "html",
-    "css",
-    "tsx",
-    "jsx",
-    "go",
-    "rust",
-    "java",
-    "c",
-    "cpp",
-    "sql",
-    "swift",
-    "yaml",
-    "markdown",
-  ],
-}).then((h) => {
-  highlighter = h;
-  return h;
-});

app/ui/app/src/lib/ollama-client.ts

@@ -1,5 +1,4 @@
 import { Ollama } from "ollama/browser";
-import { OLLAMA_HOST } from "./config";
 
 let _ollamaClient: Ollama | null = null;
 
@@ -7,7 +6,7 @@ export const ollamaClient = new Proxy({} as Ollama, {
   get(_target, prop) {
     if (!_ollamaClient) {
       _ollamaClient = new Ollama({
-        host: OLLAMA_HOST,
+        host: window.location.origin,
       });
     }
     const value = _ollamaClient[prop as keyof Ollama];

app/ui/app/src/main.tsx

@@ -5,6 +5,13 @@ import { QueryClient, QueryClientProvider } from "@tanstack/react-query";
 import { routeTree } from "./routeTree.gen";
 import { fetchUser } from "./api";
 import { StreamingProvider } from "./contexts/StreamingContext";
+import { User } from "@/gotypes";
+
+declare global {
+  interface Window {
+    __initialUserDataPromise?: Promise<User | null>;
+  }
+}
 
 const queryClient = new QueryClient({
   defaultOptions: {
@@ -17,11 +24,27 @@ const queryClient = new QueryClient({
   },
 });
 
-fetchUser().then((userData) => {
+// Track initial user data fetch
-  if (userData) {
+let initialUserDataPromise: Promise<User | null> | null = null;
+
+// Initialize user data on app startup
+const initializeUserData = async () => {
+  try {
+    const userData = await fetchUser();
     queryClient.setQueryData(["user"], userData);
+    return userData;
+  } catch (error) {
+    console.error("Error initializing user data:", error);
+    queryClient.setQueryData(["user"], null);
+    return null;
   }
-});
+};
+
+// Start initialization immediately and track the promise
+initialUserDataPromise = initializeUserData();
+
+// Export the promise so hooks can await it
+window.__initialUserDataPromise = initialUserDataPromise;
 
 const router = createRouter({
   routeTree,

app/ui/app/src/utils/fileValidation.test.ts

@@ -1,97 +0,0 @@
-import { describe, it, expect } from "vitest";
-import { IMAGE_EXTENSIONS, validateFile } from "./fileValidation";
-
-describe("fileValidation", () => {
-  describe("IMAGE_EXTENSIONS", () => {
-    it("should include all supported image formats including WebP", () => {
-      expect(IMAGE_EXTENSIONS).toContain("png");
-      expect(IMAGE_EXTENSIONS).toContain("jpg");
-      expect(IMAGE_EXTENSIONS).toContain("jpeg");
-      expect(IMAGE_EXTENSIONS).toContain("webp");
-    });
-  });
-
-  describe("validateFile", () => {
-    const createMockFile = (
-      name: string,
-      size: number,
-      type: string,
-    ): File => {
-      const blob = new Blob(["test content"], { type });
-      return new File([blob], name, { type });
-    };
-
-    it("should accept WebP images when vision capability is enabled", () => {
-      const file = createMockFile("test.webp", 1024, "image/webp");
-      const result = validateFile(file, {
-        hasVisionCapability: true,
-      });
-      expect(result.valid).toBe(true);
-    });
-
-    it("should reject WebP images when vision capability is disabled", () => {
-      const file = createMockFile("test.webp", 1024, "image/webp");
-      const result = validateFile(file, {
-        hasVisionCapability: false,
-      });
-      expect(result.valid).toBe(false);
-      expect(result.error).toBe("This model does not support images");
-    });
-
-    it("should accept PNG images when vision capability is enabled", () => {
-      const file = createMockFile("test.png", 1024, "image/png");
-      const result = validateFile(file, {
-        hasVisionCapability: true,
-      });
-      expect(result.valid).toBe(true);
-    });
-
-    it("should accept JPEG images when vision capability is enabled", () => {
-      const file = createMockFile("test.jpg", 1024, "image/jpeg");
-      const result = validateFile(file, {
-        hasVisionCapability: true,
-      });
-      expect(result.valid).toBe(true);
-    });
-
-    it("should reject files that are too large", () => {
-      // Create a file with size property set correctly
-      const largeSize = 11 * 1024 * 1024; // 11MB
-      const content = new Uint8Array(largeSize);
-      const blob = new Blob([content], { type: "image/webp" });
-      const file = new File([blob], "large.webp", { type: "image/webp" });
-      
-      const result = validateFile(file, {
-        hasVisionCapability: true,
-        maxFileSize: 10, // 10MB limit
-      });
-      expect(result.valid).toBe(false);
-      expect(result.error).toBe("File too large");
-    });
-
-    it("should reject unsupported file types", () => {
-      const file = createMockFile("test.xyz", 1024, "application/xyz");
-      const result = validateFile(file, {
-        hasVisionCapability: true,
-      });
-      expect(result.valid).toBe(false);
-      expect(result.error).toBe("File type not supported");
-    });
-
-    it("should respect custom validators", () => {
-      const file = createMockFile("test.webp", 1024, "image/webp");
-      const result = validateFile(file, {
-        hasVisionCapability: true,
-        customValidator: () => ({
-          valid: false,
-          error: "Custom error",
-        }),
-      });
-      expect(result.valid).toBe(false);
-      expect(result.error).toBe("Custom error");
-    });
-  });
-
-  // Note: processFiles tests are skipped because FileReader is not available in the Node.js test environment
-  // These functions are tested in browser environment via integration tests
-});

app/ui/app/src/utils/fileValidation.ts

@@ -41,7 +41,7 @@ export const TEXT_FILE_EXTENSIONS = [
   "rtf",
 ];
 
-export const IMAGE_EXTENSIONS = ["png", "jpg", "jpeg", "webp"];
+export const IMAGE_EXTENSIONS = ["png", "jpg", "jpeg"];
 
 export interface FileValidationOptions {
   maxFileSize?: number; // in MB

app/ui/app/src/utils/processStreamingMarkdown.ts

@@ -0,0 +1,24 @@
+import { remark } from "remark";
+import remarkStringify from "remark-stringify";
+import remarkStreamingMarkdown from "./remarkStreamingMarkdown";
+
+/**
+ * Process markdown content for streaming display using the remark plugin.
+ * This is primarily used for testing the remark plugin with string inputs/outputs.
+ */
+export function processStreamingMarkdown(content: string): string {
+  if (!content) return content;
+
+  const result = remark()
+    .use(remarkStreamingMarkdown, { debug: false })
+    .use(remarkStringify)
+    .processSync(content);
+
+  // remove trailing newline to keep tests cleaner
+  let output = result.toString();
+  if (output.endsWith("\n")) {
+    output = output.slice(0, -1);
+  }
+
+  return output;
+}

app/ui/app/src/utils/remarkStreamingMarkdown.ts

@@ -0,0 +1,447 @@
+import { parents, type Proxy } from "unist-util-parents";
+import type { Plugin } from "unified";
+import type {
+  Emphasis,
+  Node,
+  Parent,
+  Root,
+  RootContent,
+  Text,
+  Strong,
+  PhrasingContent,
+  Paragraph,
+} from "mdast";
+import { u } from "unist-builder";
+
+declare module "unist" {
+  interface Node {
+    /** Added by `unist-util-parents` (or your own walk). */
+    parent?: Proxy & Parent;
+  }
+}
+
+// interface SimpleTextRule {
+//   pattern: RegExp;
+//   transform: (matches: RegExpExecArray[], lastNode: Proxy) => void;
+// }
+
+// const simpleTextRules: SimpleTextRule[] = [
+//   // TODO(drifkin): generalize this for `__`/`_`/`~~`/`~` etc.
+//   {
+//     pattern: /(\*\*)(?=\S|$)/g,
+//     transform: (matchesIterator, lastNode) => {
+//       const textNode = lastNode.node as Text;
+
+//       const matches = [...matchesIterator];
+//       const lastMatch = matches[matches.length - 1];
+//       const origValue = textNode.value;
+//       const start = lastMatch.index;
+//       const sep = lastMatch[1];
+
+//       const before = origValue.slice(0, start);
+//       const after = origValue.slice(start + sep.length);
+
+//       if (lastNode.parent) {
+//         const index = (lastNode.parent.node as Parent).children.indexOf(
+//           lastNode.node as RootContent,
+//         );
+//         const shouldRemove = before.length === 0;
+//         if (!shouldRemove) {
+//           textNode.value = before;
+//         }
+
+//         const newNode = u("strong", {
+//           children: [u("text", { value: after })],
+//         });
+//         (lastNode.parent.node as Parent).children.splice(
+//           index + (shouldRemove ? 0 : 1),
+//           shouldRemove ? 1 : 0,
+//           newNode,
+//         );
+//       }
+//     },
+//   },
+// ];
+
+interface Options {
+  debug?: boolean;
+  onLastNode?: (info: LastNodeInfo) => void;
+}
+
+export interface LastNodeInfo {
+  path: string[];
+  type: string;
+  value?: string;
+  lastChars?: string;
+  fullNode: Node;
+}
+
+/**
+ * Removes `child` from `parent` in-place.
+ * @returns `true` if the child was found and removed; `false` otherwise.
+ */
+export function removeChildFromParent(
+  child: RootContent,
+  parent: Node,
+): boolean {
+  if (!isParent(parent)) return false; // parent isn’t a Parent → nothing to do
+
+  const idx = parent.children.indexOf(child);
+  if (idx < 0) return false; // not a child → nothing to remove
+
+  parent.children.splice(idx, 1);
+  return true; // removal successful
+}
+
+/** Narrow a generic `Node` to a `Parent` (i.e. one that really has children). */
+function isParent(node: Node): node is Parent {
+  // A `Parent` always has a `children` array; make sure it's an array first.
+  return Array.isArray((node as Partial<Parent>).children);
+}
+
+/**
+ * Follow “last-child” pointers until you reach a leaf.
+ * Returns the right-most, deepest node in source order.
+ */
+export function findRightmostDeepestNode(root: Node): Node {
+  let current: Node = root;
+
+  // While the current node *is* a Parent and has at least one child…
+  while (isParent(current) && current.children.length > 0) {
+    const lastIndex = current.children.length - 1;
+    current = current.children[lastIndex];
+  }
+
+  return current; // Leaf: no further children
+}
+
+const remarkStreamingMarkdown: Plugin<[Options?], Root> = () => {
+  return (tree) => {
+    const treeWithParents = parents(tree);
+    const lastNode = findRightmostDeepestNode(treeWithParents) as Proxy;
+
+    const parentNode = lastNode.parent;
+    const grandparentNode = parentNode?.parent;
+
+    let ruleMatched = false;
+
+    // handling `* *` -> ``
+    //
+    // if the last node is part of a <list item (otherwise empty)> ->
+    // <list (otherwise empty)> -> <list item (last node, empty)>, then we need to
+    // remove everything up to and including the first list item. This happens
+    // when we have `* *`, which can become a bolded list item OR a horizontal
+    // line
+    if (
+      lastNode.type === "listItem" &&
+      parentNode &&
+      grandparentNode &&
+      parentNode.type === "list" &&
+      grandparentNode.type === "listItem" &&
+      parentNode.children.length === 1 &&
+      grandparentNode.children.length === 1
+    ) {
+      ruleMatched = true;
+      if (grandparentNode.parent) {
+        removeChildFromParent(
+          grandparentNode.node as RootContent,
+          grandparentNode.parent.node,
+        );
+      }
+      // Handle `*` -> ``:
+      //
+      // if the last node is just an empty list item, we need to remove it
+      // because it could become something else (e.g., a horizontal line)
+    } else if (
+      lastNode.type === "listItem" &&
+      parentNode &&
+      parentNode.type === "list"
+    ) {
+      ruleMatched = true;
+      removeChildFromParent(lastNode.node as RootContent, parentNode.node);
+    } else if (lastNode.type === "thematicBreak") {
+      ruleMatched = true;
+      const parent = lastNode.parent;
+      if (parent) {
+        removeChildFromParent(lastNode.node as RootContent, parent.node);
+      }
+    } else if (lastNode.type === "text") {
+      const textNode = lastNode.node as Text;
+      if (textNode.value.endsWith("**")) {
+        ruleMatched = true;
+        textNode.value = textNode.value.slice(0, -2);
+        // if there's a newline then a number, this is very very likely a
+        // numbered list item. Let's just hide it until the period comes (or
+        // other text disambiguates it)
+      } else {
+        const match = textNode.value.match(/^([0-9]+)$/m);
+        if (match) {
+          const number = match[1];
+          textNode.value = textNode.value.slice(0, -number.length - 1);
+          ruleMatched = true;
+          // if the text node is now empty, then we might want to remove other
+          // elements, like a now-empty containing paragraph, or a break that
+          // might disappear once more tokens come in
+          if (textNode.value.length === 0) {
+            if (
+              lastNode.parent?.type === "paragraph" &&
+              lastNode.parent.children.length === 1
+            ) {
+              // remove the whole paragraph if it's now empty (otherwise it'll
+              // cause an extra newline that might not last)
+              removeChildFromParent(
+                lastNode.parent.node as Paragraph,
+                lastNode.parent.parent?.node as Node,
+              );
+            } else {
+              const prev = prevSibling(lastNode);
+              if (prev?.type === "break") {
+                removeChildFromParent(
+                  prev.node as RootContent,
+                  lastNode.parent?.node as Node,
+                );
+                removeChildFromParent(
+                  lastNode.node as RootContent,
+                  lastNode.parent?.node as Node,
+                );
+              }
+            }
+          }
+        }
+      }
+    }
+
+    if (ruleMatched) {
+      return tree;
+    }
+
+    // we need to
+    // a case like
+    //     - *def `abc` [abc **def**](abc)*
+    // is pretty tricky, because if we land just after def, then we actually
+    // have two separate tags to process at two different parents. Maybe we
+    // need to keep iterating up until we find a paragraph, but process each
+    // parent on the way up. Hmm, well actually after `def` we won't even be a proper link yet
+    // TODO(drifkin): it's really if the last node's parent is a paragraph, for which the following is a sub-cas where the lastNode is a text node.
+    // And instead of just processing simple text rules, they need to operate on the whole paragraph
+    // like `**[abc](def)` needs to become `**[abc](def)**`
+
+    // if we're just text at the end, then we should remove some ambiguous characters
+
+    if (lastNode.parent) {
+      const didChange = processParent(lastNode.parent as Parent & Proxy);
+      if (didChange) {
+        // TODO(drifkin): need to fix up the tree, but not sure lastNode will still exist? Check all the transforms to see if it's safe to find the last node again
+        //
+        // need to regen the tree w/ parents since reparenting could've happened
+        // treeWithParents = parents(tree);
+      }
+    }
+
+    const grandparent = lastNode.parent?.parent;
+    // TODO(drifkin): let's go arbitrarily high up the tree, but limiting it
+    // to 2 levels for now until I think more about the stop condition
+    if (grandparent) {
+      processParent(grandparent as Parent & Proxy);
+    }
+
+    // console.log("ruleMatched", ruleMatched);
+
+    // } else if (lastNode.parent?.type === "paragraph") {
+    //   console.log("!!! paragraph");
+    //   console.log("lastNode.parent", lastNode.parent);
+
+    //   // Handle `**abc*` -> `**abc**`:
+    //   // We detect this when the last child is an emphasis node, and it's preceded by a text node that ends with `*`
+    //   const paragraph = lastNode.parent as Proxy & Paragraph;
+    //   if (paragraph.children.length >= 2) {
+    //     const lastChild = paragraph.children[paragraph.children.length - 1];
+    //     if (lastChild.type === "emphasis") {
+    //       const sibling = paragraph.children[paragraph.children.length - 2];
+    //       if (sibling.type === "text") {
+    //         const siblingText = sibling as Text & Proxy;
+    //         if (siblingText.value.endsWith("*")) {
+    //           ruleMatched = true;
+    //           const textNode = (lastNode as Proxy).node as Text;
+    //           textNode.value = textNode.value.slice(0, -1);
+    //           paragraph.node.type = "strong";
+    //         }
+    //       }
+    //     }
+    //   }
+    // } else if (lastNode.type === "text") {
+    //   // Handle `**abc*` -> `**abc**`:
+    //   //
+    //   // this gets parsed as a text node ending in `*` followed by an emphasis
+    //   // node. So if we're in text, we need to check if our parent is emphasis,
+    //   // and then get our parent's sibling before it and check if it ends with
+    //   // `*`
+    //   const parent = lastNode.parent;
+    //   if (parent && parent.type === "emphasis") {
+    //     const grandparent = parent.parent;
+    //     if (grandparent) {
+    //       const index = (grandparent.node as Parent).children.indexOf(
+    //         parent.node as RootContent,
+    //       );
+    //       if (index > 0) {
+    //         const prevNode = grandparent.children[index - 1];
+    //         if (
+    //           prevNode.type === "text" &&
+    //           (prevNode as Text).value.endsWith("*")
+    //         ) {
+    //           ruleMatched = true;
+    //           const textNode = (prevNode as Proxy).node as Text;
+    //           textNode.value = textNode.value.slice(0, -1);
+    //           parent.node.type = "strong";
+    //         }
+    //       }
+    //     }
+    // }
+
+    //   if (!ruleMatched) {
+    //     // if the last node is just text, then we process it in order to fix up certain unclosed items
+    //     // e.g., `**abc` -> `**abc**`
+    //     const textNode = lastNode.node as Text;
+    //     for (const rule of simpleTextRules) {
+    //       const matchesIterator = textNode.value.matchAll(rule.pattern);
+    //       const matches = [...matchesIterator];
+    //       if (matches.length > 0) {
+    //         rule.transform(matches, lastNode);
+    //         ruleMatched = true;
+    //         break;
+    //       }
+    //     }
+    //   }
+    // } else if (!ruleMatched) {
+    //   // console.log("no rule matched", lastNode);
+    // }
+
+    return tree;
+  };
+};
+
+function processParent(parent: Parent & Proxy): boolean {
+  if (parent.type === "emphasis") {
+    // Handle `**abc*` -> `**abc**`:
+    // We detect this when we end with an emphasis node, and it's preceded by
+    // a text node that ends with `*`
+    // TODO(drifkin): the last node can be more deeply nested (e.g., a code
+    // literal in a link), so we probably need to walk up the tree until we
+    // find an emphasis node or a block? For now we'll just go up one layer to
+    // catch the most common cases
+    const emphasisNode = parent as Emphasis & Proxy;
+    const grandparent = emphasisNode.parent;
+    if (grandparent) {
+      const indexOfEmphasisNode = (grandparent.node as Parent).children.indexOf(
+        emphasisNode.node as RootContent,
+      );
+      if (indexOfEmphasisNode >= 0) {
+        const nodeBefore = grandparent.children[indexOfEmphasisNode - 1] as
+          | (Node & Proxy)
+          | undefined;
+        if (nodeBefore?.type === "text") {
+          const textNode = nodeBefore.node as Text;
+          if (textNode.value.endsWith("*")) {
+            const strBefore = textNode.value.slice(0, -1);
+            textNode.value = strBefore;
+            const strongNode = u("strong", {
+              children: emphasisNode.children,
+            });
+            (grandparent.node as Parent).children.splice(
+              indexOfEmphasisNode,
+              1,
+              strongNode,
+            );
+            return true;
+          }
+        }
+      }
+    }
+  }
+
+  // Let's check if we have any bold items to close
+  for (let i = parent.children.length - 1; i >= 0; i--) {
+    const child = parent.children[i];
+    if (child.type === "text") {
+      const textNode = child as Text & Proxy;
+      const sep = "**";
+      const index = textNode.value.lastIndexOf(sep);
+      if (index >= 0) {
+        let isValidOpening = false;
+        if (index + sep.length < textNode.value.length) {
+          const charAfter = textNode.value[index + sep.length];
+          if (!isWhitespace(charAfter)) {
+            isValidOpening = true;
+          }
+        } else {
+          if (i < parent.children.length - 1) {
+            // TODO(drifkin): I'm not sure that this check is strict enough.
+            // We're trying to detect cases like `**[abc]()` where the char
+            // after the opening ** is indeed a non-whitespace character. We're
+            // using the heuristic that there's another item after the current
+            // one, but I'm not sure if that is good enough. In a well
+            // constructed tree, there aren't two text nodes in a row, so this
+            // _seems_ good, but I should think through it more
+            isValidOpening = true;
+          }
+        }
+
+        if (isValidOpening) {
+          // TODO(drifkin): close the bold
+          const strBefore = textNode.value.slice(0, index);
+          const strAfter = textNode.value.slice(index + sep.length);
+          (textNode.node as Text).value = strBefore;
+          // TODO(drifkin): the node above could be empty in which case we probably want to delete it
+          const children: PhrasingContent[] = [
+            ...(strAfter.length > 0 ? [u("text", { value: strAfter })] : []),
+          ];
+          const strongNode: Strong = u("strong", {
+            children,
+          });
+          const nodesAfter = (parent.node as Parent).children.splice(
+            i + 1,
+            parent.children.length - i - 1,
+            strongNode,
+          );
+          // TODO(drifkin): this cast seems iffy, should see if we can cast the
+          // parent instead, which would also help us check some of our
+          // assumptions
+          strongNode.children.push(...(nodesAfter as PhrasingContent[]));
+          return true;
+        }
+      }
+    }
+  }
+
+  return false;
+}
+
+function prevSibling(node: Node & Proxy): (Node & Proxy) | null {
+  const parent = node.parent;
+  if (parent) {
+    const index = parent.children.indexOf(node);
+    return parent.children[index - 1] as Node & Proxy;
+  }
+  return null;
+}
+
+function isWhitespace(str: string) {
+  return str.trim() === "";
+}
+
+// function debugPrintTreeNoPos(tree: Node) {
+//   console.log(
+//     JSON.stringify(
+//       tree,
+//       (key, value) => {
+//         if (key === "position") {
+//           return undefined;
+//         }
+//         return value;
+//       },
+//       2,
+//     ),
+//   );
+// }
+
+export default remarkStreamingMarkdown;

app/ui/responses/types.go

@@ -102,13 +102,14 @@ type HealthResponse struct {
 
 type User struct {
 	ID            string `json:"id"`
-	Email     string `json:"email"`
 	Name          string `json:"name"`
-	Bio       string `json:"bio,omitempty"`
+	Email         string `json:"email"`
-	AvatarURL string `json:"avatarurl,omitempty"`
+	AvatarURL     string `json:"avatarURL"`
-	FirstName string `json:"firstname,omitempty"`
+	Plan          string `json:"plan"`
-	LastName  string `json:"lastname,omitempty"`
+	Bio           string `json:"bio"`
-	Plan      string `json:"plan,omitempty"`
+	FirstName     string `json:"firstName"`
+	LastName      string `json:"lastName"`
+	OverThreshold bool   `json:"overThreshold"`
 }
 
 type Attachment struct {

app/ui/ui.go

@@ -12,17 +12,18 @@ import (
 	"log/slog"
 	"net/http"
 	"net/http/httputil"
+	"net/url"
 	"os"
 	"runtime"
 	"runtime/debug"
 	"slices"
 	"strconv"
 	"strings"
-	"sync"
 	"time"
 
 	"github.com/google/uuid"
 	"github.com/ollama/ollama/api"
+	"github.com/ollama/ollama/app/auth"
 	"github.com/ollama/ollama/app/server"
 	"github.com/ollama/ollama/app/store"
 	"github.com/ollama/ollama/app/tools"
@@ -117,66 +118,40 @@ func (s *Server) log() *slog.Logger {
 
 // ollamaProxy creates a reverse proxy handler to the Ollama server
 func (s *Server) ollamaProxy() http.Handler {
-	var (
+	ollamaHost := os.Getenv("OLLAMA_HOST")
-		proxy   http.Handler
+	if ollamaHost == "" {
-		proxyMu sync.Mutex
+		ollamaHost = "http://127.0.0.1:11434"
-	)
-
-	return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
-		proxyMu.Lock()
-		p := proxy
-		proxyMu.Unlock()
-
-		if p == nil {
-			proxyMu.Lock()
-			if proxy == nil {
-				var err error
-				for i := range 2 {
-					if i > 0 {
-						s.log().Warn("ollama server not ready, retrying", "attempt", i+1)
-						time.Sleep(1 * time.Second)
 	}
 
-					err = WaitForServer(context.Background(), 10*time.Second)
+	if !strings.HasPrefix(ollamaHost, "http://") && !strings.HasPrefix(ollamaHost, "https://") {
-					if err == nil {
+		ollamaHost = "http://" + ollamaHost
-						break
-					}
 	}
 
+	target, err := url.Parse(ollamaHost)
 	if err != nil {
-					proxyMu.Unlock()
+		s.log().Error("failed to parse OLLAMA_HOST", "error", err, "host", ollamaHost)
-					s.log().Error("ollama server not ready after retries", "error", err)
+		return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
-					http.Error(w, "Ollama server is not ready", http.StatusServiceUnavailable)
+			http.Error(w, "failed to configure proxy", http.StatusInternalServerError)
-					return
+		})
 	}
 
-				target := envconfig.Host()
 	s.log().Info("configuring ollama proxy", "target", target.String())
 
-				newProxy := httputil.NewSingleHostReverseProxy(target)
+	proxy := httputil.NewSingleHostReverseProxy(target)
 
-				originalDirector := newProxy.Director
+	originalDirector := proxy.Director
-				newProxy.Director = func(req *http.Request) {
+	proxy.Director = func(req *http.Request) {
 		originalDirector(req)
 		req.Host = target.Host
 		s.log().Debug("proxying request", "method", req.Method, "path", req.URL.Path, "target", target.Host)
 	}
 
-				newProxy.ErrorHandler = func(w http.ResponseWriter, r *http.Request, err error) {
+	proxy.ErrorHandler = func(w http.ResponseWriter, r *http.Request, err error) {
 		s.log().Error("proxy error", "error", err, "path", r.URL.Path, "target", target.String())
 		http.Error(w, "proxy error: "+err.Error(), http.StatusBadGateway)
 	}
 
-				proxy = newProxy
+	return proxy
-				p = newProxy
-			} else {
-				p = proxy
-			}
-			proxyMu.Unlock()
-		}
-
-		p.ServeHTTP(w, r)
-	})
 }
 
 type errHandlerFunc func(http.ResponseWriter, *http.Request) error
@@ -289,10 +264,11 @@ func (s *Server) Handler() http.Handler {
 	ollamaProxy := s.ollamaProxy()
 	mux.Handle("GET /api/tags", ollamaProxy)
 	mux.Handle("POST /api/show", ollamaProxy)
-	mux.Handle("GET /api/version", ollamaProxy)
+
-	mux.Handle("HEAD /api/version", ollamaProxy)
+	mux.Handle("GET /api/v1/me", handle(s.me))
-	mux.Handle("POST /api/me", ollamaProxy)
+	mux.Handle("POST /api/v1/disconnect", handle(s.disconnect))
-	mux.Handle("POST /api/signout", ollamaProxy)
+	mux.Handle("GET /api/v1/connect", handle(s.connectURL))
+	mux.Handle("GET /api/v1/health", handle(s.health))
 
 	// React app - catch all non-API routes and serve the React app
 	mux.Handle("GET /", s.appHandler())
@@ -362,7 +338,7 @@ func (s *Server) doSelfSigned(ctx context.Context, method, path string) (*http.R
 }
 
 // UserData fetches user data from ollama.com API for the current ollama key
-func (s *Server) UserData(ctx context.Context) (*api.UserResponse, error) {
+func (s *Server) UserData(ctx context.Context) (*responses.User, error) {
 	resp, err := s.doSelfSigned(ctx, http.MethodPost, "/api/me")
 	if err != nil {
 		return nil, fmt.Errorf("failed to call ollama.com/api/me: %w", err)
@@ -373,7 +349,7 @@ func (s *Server) UserData(ctx context.Context) (*api.UserResponse, error) {
 		return nil, fmt.Errorf("unexpected status code: %d", resp.StatusCode)
 	}
 
-	var user api.UserResponse
+	var user responses.User
 	if err := json.NewDecoder(resp.Body).Decode(&user); err != nil {
 		return nil, fmt.Errorf("failed to parse user response: %w", err)
 	}
@@ -392,27 +368,29 @@ func (s *Server) UserData(ctx context.Context) (*api.UserResponse, error) {
 	return &user, nil
 }
 
-// WaitForServer waits for the Ollama server to be ready
+func waitForServer(ctx context.Context) error {
-func WaitForServer(ctx context.Context, timeout time.Duration) error {
+	timeout := time.Now().Add(10 * time.Second)
-	deadline := time.Now().Add(timeout)
+	// TODO: this avoids an error on first load of the app
-	for time.Now().Before(deadline) {
+	// however we should either show a loading state or
+	// wait for the Ollama server to be ready before redirecting
+	for {
 		c, err := api.ClientFromEnvironment()
 		if err != nil {
 			return err
 		}
 		if _, err := c.Version(ctx); err == nil {
-			slog.Debug("ollama server is ready")
+			break
-			return nil
+		}
+		if time.Now().After(timeout) {
+			return fmt.Errorf("timeout waiting for Ollama server to be ready")
 		}
 		time.Sleep(10 * time.Millisecond)
 	}
-	return errors.New("timeout waiting for Ollama server to be ready")
+	return nil
 }
 
 func (s *Server) createChat(w http.ResponseWriter, r *http.Request) error {
-	if err := WaitForServer(r.Context(), 10*time.Second); err != nil {
+	waitForServer(r.Context())
-		return err
-	}
 
 	id, err := uuid.NewV7()
 	if err != nil {
@@ -997,7 +975,7 @@ func (s *Server) chat(w http.ResponseWriter, r *http.Request) error {
 				for _, toolCall := range res.Message.ToolCalls {
 					// continues loop as tools were executed
 					toolsExecuted = true
-					result, content, err := registry.Execute(ctx, toolCall.Function.Name, toolCall.Function.Arguments.ToMap())
+					result, content, err := registry.Execute(ctx, toolCall.Function.Name, toolCall.Function.Arguments)
 					if err != nil {
 						errContent := fmt.Sprintf("Error: %v", err)
 						toolErrMsg := store.NewMessage("tool", errContent, nil)
@@ -1460,6 +1438,129 @@ func (s *Server) settings(w http.ResponseWriter, r *http.Request) error {
 	})
 }
 
+func (s *Server) me(w http.ResponseWriter, r *http.Request) error {
+	if r.Method != http.MethodGet {
+		http.Error(w, "Method Not Allowed", http.StatusMethodNotAllowed)
+		return nil
+	}
+
+	user, err := s.UserData(r.Context())
+	if err != nil {
+		// If fetching from API fails, try to return cached user data if available
+		if cachedUser, cacheErr := s.Store.User(); cacheErr == nil && cachedUser != nil {
+			s.log().Info("API request failed, returning cached user data", "error", err)
+			responseUser := &responses.User{
+				Name:  cachedUser.Name,
+				Email: cachedUser.Email,
+				Plan:  cachedUser.Plan,
+			}
+			w.Header().Set("Content-Type", "application/json")
+			w.WriteHeader(http.StatusOK)
+			return json.NewEncoder(w).Encode(responseUser)
+		}
+
+		s.log().Error("failed to get user data", "error", err)
+		w.WriteHeader(http.StatusInternalServerError)
+		return json.NewEncoder(w).Encode(responses.Error{
+			Error: "failed to get user data",
+		})
+	}
+
+	w.Header().Set("Content-Type", "application/json")
+	w.WriteHeader(http.StatusOK)
+	return json.NewEncoder(w).Encode(user)
+}
+
+func (s *Server) disconnect(w http.ResponseWriter, r *http.Request) error {
+	if r.Method != http.MethodPost {
+		http.Error(w, "Method Not Allowed", http.StatusMethodNotAllowed)
+		return nil
+	}
+
+	if err := s.Store.ClearUser(); err != nil {
+		s.log().Warn("failed to clear cached user data", "error", err)
+	}
+
+	// Get the SSH public key to encode for the delete request
+	pubKey, err := ollamaAuth.GetPublicKey()
+	if err != nil {
+		s.log().Error("failed to get public key", "error", err)
+		w.WriteHeader(http.StatusInternalServerError)
+		return json.NewEncoder(w).Encode(responses.Error{
+			Error: "failed to get public key",
+		})
+	}
+
+	// Encode the key using base64 URL encoding
+	encodedKey := base64.RawURLEncoding.EncodeToString([]byte(pubKey))
+
+	// Call the /api/user/keys/{encodedKey} endpoint with DELETE
+	resp, err := s.doSelfSigned(r.Context(), http.MethodDelete, fmt.Sprintf("/api/user/keys/%s", encodedKey))
+	if err != nil {
+		s.log().Error("failed to call ollama.com/api/user/keys", "error", err)
+		w.WriteHeader(http.StatusInternalServerError)
+		return json.NewEncoder(w).Encode(responses.Error{
+			Error: "failed to disconnect from ollama.com",
+		})
+	}
+	defer resp.Body.Close()
+
+	if resp.StatusCode != http.StatusOK {
+		s.log().Error("disconnect request failed", "status", resp.StatusCode)
+		w.WriteHeader(http.StatusInternalServerError)
+		return json.NewEncoder(w).Encode(responses.Error{
+			Error: "failed to disconnect from ollama.com",
+		})
+	}
+
+	w.Header().Set("Content-Type", "application/json")
+	w.WriteHeader(http.StatusOK)
+	return json.NewEncoder(w).Encode(map[string]string{"status": "disconnected"})
+}
+
+func (s *Server) connectURL(w http.ResponseWriter, r *http.Request) error {
+	if r.Method != http.MethodGet {
+		http.Error(w, "Method Not Allowed", http.StatusMethodNotAllowed)
+		return nil
+	}
+
+	connectURL, err := auth.BuildConnectURL(OllamaDotCom)
+	if err != nil {
+		s.log().Error("failed to build connect URL", "error", err)
+		w.WriteHeader(http.StatusInternalServerError)
+		return json.NewEncoder(w).Encode(responses.Error{
+			Error: "failed to build connect URL",
+		})
+	}
+
+	w.Header().Set("Content-Type", "application/json")
+	w.WriteHeader(http.StatusOK)
+	return json.NewEncoder(w).Encode(map[string]string{
+		"connect_url": connectURL,
+	})
+}
+
+func (s *Server) health(w http.ResponseWriter, r *http.Request) error {
+	if r.Method != http.MethodGet {
+		http.Error(w, "Method Not Allowed", http.StatusMethodNotAllowed)
+		return nil
+	}
+
+	healthy := false
+	c, err := api.ClientFromEnvironment()
+	if err == nil {
+		if _, err := c.Version(r.Context()); err == nil {
+			healthy = true
+		}
+	}
+
+	w.Header().Set("Content-Type", "application/json")
+	w.WriteHeader(http.StatusOK)
+	return json.NewEncoder(w).Encode(responses.HealthResponse{
+		Healthy: healthy,
+	})
+}
+
 func (s *Server) getInferenceCompute(w http.ResponseWriter, r *http.Request) error {
 	ctx, cancel := context.WithTimeout(r.Context(), 500*time.Millisecond)
 	defer cancel()
@@ -1558,13 +1659,13 @@ func convertToOllamaTool(toolSchema map[string]any) api.Tool {
 
 	tool.Function.Parameters.Type = "object"
 	tool.Function.Parameters.Required = []string{}
-	tool.Function.Parameters.Properties = api.NewToolPropertiesMap()
+	tool.Function.Parameters.Properties = make(map[string]api.ToolProperty)
 
 	if schemaProps, ok := toolSchema["schema"].(map[string]any); ok {
 		tool.Function.Parameters.Type = getStringFromMap(schemaProps, "type", "object")
 
 		if props, ok := schemaProps["properties"].(map[string]any); ok {
-			tool.Function.Parameters.Properties = api.NewToolPropertiesMap()
+			tool.Function.Parameters.Properties = make(map[string]api.ToolProperty)
 
 			for propName, propDef := range props {
 				if propMap, ok := propDef.(map[string]any); ok {
@@ -1572,7 +1673,7 @@ func convertToOllamaTool(toolSchema map[string]any) api.Tool {
 						Type:        api.PropertyType{getStringFromMap(propMap, "type", "string")},
 						Description: getStringFromMap(propMap, "description", ""),
 					}
-					tool.Function.Parameters.Properties.Set(propName, prop)
+					tool.Function.Parameters.Properties[propName] = prop
 				}
 			}
 		}
@@ -1604,7 +1705,7 @@ func getStringFromMap(m map[string]any, key, defaultValue string) string {
 // isImageAttachment checks if a filename is an image file
 func isImageAttachment(filename string) bool {
 	ext := strings.ToLower(filename)
-	return strings.HasSuffix(ext, ".png") || strings.HasSuffix(ext, ".jpg") || strings.HasSuffix(ext, ".jpeg") || strings.HasSuffix(ext, ".webp")
+	return strings.HasSuffix(ext, ".png") || strings.HasSuffix(ext, ".jpg") || strings.HasSuffix(ext, ".jpeg")
 }
 
 // ptr is a convenience function for &literal
@@ -1693,14 +1794,13 @@ func (s *Server) buildChatRequest(chat *store.Chat, model string, think any, ava
 
 	var thinkValue *api.ThinkValue
 	if think != nil {
-		// Only set Think if it's actually requesting thinking
 		if boolValue, ok := think.(bool); ok {
-			if boolValue {
+			thinkValue = &api.ThinkValue{
-				thinkValue = &api.ThinkValue{Value: boolValue}
+				Value: boolValue,
 			}
 		} else if stringValue, ok := think.(string); ok {
-			if stringValue != "" && stringValue != "none" {
+			thinkValue = &api.ThinkValue{
-				thinkValue = &api.ThinkValue{Value: stringValue}
+				Value: stringValue,
 			}
 		}
 	}

app/wintray/eventloop.go

@@ -158,16 +158,16 @@ func (t *winTray) wndProc(hWnd windows.Handle, message uint32, wParam, lParam ui
 	case uint32(UI_REQUEST_MSG_ID):
 		// Requests for the UI must always come from the main event thread
 		l := int(wParam)
-		path := unsafe.String((*byte)(unsafe.Pointer(lParam)), l) //nolint:govet,gosec
+		path := unsafe.String((*byte)(unsafe.Pointer(lParam)), l)
 		t.app.UIRun(path)
 	case WM_COPYDATA:
 		// Handle URL scheme requests from other instances
 		if lParam != 0 {
-			cds := (*COPYDATASTRUCT)(unsafe.Pointer(lParam)) //nolint:govet,gosec
+			cds := (*COPYDATASTRUCT)(unsafe.Pointer(lParam))
 			if cds.DwData == 1 { // Our identifier for URL scheme messages
 				// Convert the data back to string
 				data := make([]byte, cds.CbData)
-				copy(data, (*[1 << 30]byte)(unsafe.Pointer(cds.LpData))[:cds.CbData:cds.CbData]) //nolint:govet,gosec
+				copy(data, (*[1 << 30]byte)(unsafe.Pointer(cds.LpData))[:cds.CbData:cds.CbData])
 				urlScheme := string(data)
 				handleURLSchemeRequest(urlScheme)
 				lResult = 1 // Return non-zero to indicate success

cmd/bench/README.md

@@ -1,115 +0,0 @@
-Ollama Benchmark Tool
----------------------
-
-A Go-based command-line tool for benchmarking Ollama models with configurable parameters and multiple output formats.
-
-## Features
-
- * Benchmark multiple models in a single run
- * Support for both text and image prompts
- * Configurable generation parameters (temperature, max tokens, seed, etc.)
- * Supports benchstat and CSV output formats
- * Detailed performance metrics (prefill, generate, load, total durations)
-
-## Building from Source
-
-```
-go build -o ollama-bench bench.go
-./ollama-bench -model gpt-oss:20b -epochs 6 -format csv
-```
-
-Using Go Run (without building)
-
-```
-go run bench.go -model gpt-oss:20b -epochs 3
-```
-
-## Usage
-
-### Basic Example
-
-```
-./ollama-bench -model gemma3 -epochs 6
-```
-
-### Benchmark Multiple Models
-
-```
-./ollama-bench -model gemma3,gemma3n -epochs 6 -max-tokens 100 -p "Write me a short story" | tee gemma.bench
-benchstat -col /name gemma.bench
-```
-
-### With Image Prompt
-
-```
-./ollama-bench -model qwen3-vl -image photo.jpg -epochs 6 -max-tokens 100 -p "Describe this image"
-```
-
-### Advanced Example
-
-```
-./ollama-bench -model llama3 -epochs 10 -temperature 0.7 -max-tokens 500 -seed 42 -format csv -output results.csv
-```
-
-## Command Line Options
-
-| Option  	| Description | Default |
-|----------|-------------|---------|
-| -model	| Comma-separated list of models to benchmark	| (required)		|
-| -epochs	| Number of iterations per model		| 1			|
-| -max-tokens	| Maximum tokens for model response		| 0 (unlimited)		|
-| -temperature	| Temperature parameter				| 0.0			|
-| -seed		| Random seed					| 0 (random)		|
-| -timeout	| Timeout in seconds				| 300			|
-| -p		| Prompt text					| "Write a long story."	|
-| -image	| Image file to include in prompt		| 			|
-| -k		| Keep-alive duration in seconds		| 0			|
-| -format	| Output format (benchstat, csv)		| benchstat		|
-| -output	| Output file for results			| "" (stdout)		|
-| -v		| Verbose mode					| false			|
-| -debug	| Show debug information			| false			|
-
-## Output Formats
-
-### Markdown Format
-
-The default markdown format is suitable for copying and pasting into a GitHub issue and will look like:
-```
- Model | Step | Count | Duration | nsPerToken | tokensPerSec |
-|-------|------|-------|----------|------------|--------------|
-| gpt-oss:20b | prefill | 124 | 30.006458ms | 241987.56 | 4132.44 |
-| gpt-oss:20b | generate | 200 | 2.646843954s | 13234219.77 | 75.56 |
-| gpt-oss:20b | load | 1 | 121.674208ms | - | - |
-| gpt-oss:20b | total | 1 | 2.861047625s | - | - |
-```
-
-### Benchstat Format
-
-Compatible with Go's benchstat tool for statistical analysis:
-
-```
-BenchmarkModel/name=gpt-oss:20b/step=prefill 128 78125.00 ns/token 12800.00 token/sec
-BenchmarkModel/name=gpt-oss:20b/step=generate 512 19531.25 ns/token 51200.00 token/sec
-BenchmarkModel/name=gpt-oss:20b/step=load 1 1500000000 ns/request
-```
-
-### CSV Format
-
-Machine-readable comma-separated values:
-
-```
-NAME,STEP,COUNT,NS_PER_COUNT,TOKEN_PER_SEC
-gpt-oss:20b,prefill,128,78125.00,12800.00
-gpt-oss:20b,generate,512,19531.25,51200.00
-gpt-oss:20b,load,1,1500000000,0
-```
-
-## Metrics Explained
-
-The tool reports four types of metrics for each model:
-
- * prefill: Time spent processing the prompt
- * generate: Time spent generating the response
- * load: Model loading time (one-time cost)
- * total: Total request duration
-

cmd/bench/bench.go

@@ -1,321 +0,0 @@
-package main
-
-import (
-	"cmp"
-	"context"
-	"flag"
-	"fmt"
-	"io"
-	"os"
-	"runtime"
-	"slices"
-	"strings"
-	"sync"
-	"time"
-
-	"github.com/ollama/ollama/api"
-)
-
-type flagOptions struct {
-	models      *string
-	epochs      *int
-	maxTokens   *int
-	temperature *float64
-	seed        *int
-	timeout     *int
-	prompt      *string
-	imageFile   *string
-	keepAlive   *float64
-	format      *string
-	outputFile  *string
-	debug       *bool
-	verbose     *bool
-}
-
-type Metrics struct {
-	Model    string
-	Step     string
-	Count    int
-	Duration time.Duration
-}
-
-var once sync.Once
-
-const DefaultPrompt = `Please write a descriptive story about a llama named Alonso who grows up to be President of the Land of Llamas. Include details about Alonso's childhood, adolescent years, and how he grew up to be a political mover and shaker. Write the story with a sense of whimsy.`
-
-func OutputMetrics(w io.Writer, format string, metrics []Metrics, verbose bool) {
-	switch format {
-	case "benchstat":
-		if verbose {
-			printHeader := func() {
-				fmt.Fprintf(w, "sysname: %s\n", runtime.GOOS)
-				fmt.Fprintf(w, "machine: %s\n", runtime.GOARCH)
-			}
-			once.Do(printHeader)
-		}
-		for _, m := range metrics {
-			if m.Step == "generate" || m.Step == "prefill" {
-				if m.Count > 0 {
-					nsPerToken := float64(m.Duration.Nanoseconds()) / float64(m.Count)
-					tokensPerSec := float64(m.Count) / (float64(m.Duration.Nanoseconds()) + 1e-12) * 1e9
-
-					fmt.Fprintf(w, "BenchmarkModel/name=%s/step=%s %d %.2f ns/token %.2f token/sec\n",
-						m.Model, m.Step, m.Count, nsPerToken, tokensPerSec)
-				} else {
-					fmt.Fprintf(w, "BenchmarkModel/name=%s/step=%s %d 0 ns/token 0 token/sec\n",
-						m.Model, m.Step, m.Count)
-				}
-			} else {
-				var suffix string
-				if m.Step == "load" {
-					suffix = "/step=load"
-				}
-				fmt.Fprintf(w, "BenchmarkModel/name=%s%s 1 %d ns/request\n",
-					m.Model, suffix, m.Duration.Nanoseconds())
-			}
-		}
-	case "csv":
-		printHeader := func() {
-			headings := []string{"NAME", "STEP", "COUNT", "NS_PER_COUNT", "TOKEN_PER_SEC"}
-			fmt.Fprintln(w, strings.Join(headings, ","))
-		}
-		once.Do(printHeader)
-
-		for _, m := range metrics {
-			if m.Step == "generate" || m.Step == "prefill" {
-				var nsPerToken float64
-				var tokensPerSec float64
-				if m.Count > 0 {
-					nsPerToken = float64(m.Duration.Nanoseconds()) / float64(m.Count)
-					tokensPerSec = float64(m.Count) / (float64(m.Duration.Nanoseconds()) + 1e-12) * 1e9
-				}
-				fmt.Fprintf(w, "%s,%s,%d,%.2f,%.2f\n", m.Model, m.Step, m.Count, nsPerToken, tokensPerSec)
-			} else {
-				fmt.Fprintf(w, "%s,%s,1,%d,0\n", m.Model, m.Step, m.Duration.Nanoseconds())
-			}
-		}
-	case "markdown":
-		printHeader := func() {
-			fmt.Fprintln(w, "| Model | Step | Count | Duration | nsPerToken | tokensPerSec |")
-			fmt.Fprintln(w, "|-------|------|-------|----------|------------|--------------|")
-		}
-		once.Do(printHeader)
-
-		for _, m := range metrics {
-			var nsPerToken, tokensPerSec float64
-			var nsPerTokenStr, tokensPerSecStr string
-
-			if m.Step == "generate" || m.Step == "prefill" {
-				nsPerToken = float64(m.Duration.Nanoseconds()) / float64(m.Count)
-				tokensPerSec = float64(m.Count) / (float64(m.Duration.Nanoseconds()) + 1e-12) * 1e9
-				nsPerTokenStr = fmt.Sprintf("%.2f", nsPerToken)
-				tokensPerSecStr = fmt.Sprintf("%.2f", tokensPerSec)
-			} else {
-				nsPerTokenStr = "-"
-				tokensPerSecStr = "-"
-			}
-
-			fmt.Fprintf(w, "| %s | %s | %d | %v | %s | %s |\n",
-				m.Model, m.Step, m.Count, m.Duration, nsPerTokenStr, tokensPerSecStr)
-		}
-	default:
-		fmt.Fprintf(os.Stderr, "Unknown output format '%s'\n", format)
-	}
-}
-
-func BenchmarkChat(fOpt flagOptions) error {
-	models := strings.Split(*fOpt.models, ",")
-
-	// todo - add multi-image support
-	var imgData api.ImageData
-	var err error
-	if *fOpt.imageFile != "" {
-		imgData, err = readImage(*fOpt.imageFile)
-		if err != nil {
-			fmt.Fprintf(os.Stderr, "ERROR: Couldn't read image '%s': %v\n", *fOpt.imageFile, err)
-			return err
-		}
-	}
-
-	if *fOpt.debug && imgData != nil {
-		fmt.Fprintf(os.Stderr, "Read file '%s'\n", *fOpt.imageFile)
-	}
-
-	client, err := api.ClientFromEnvironment()
-	if err != nil {
-		fmt.Fprintf(os.Stderr, "ERROR: Couldn't create ollama client: %v\n", err)
-		return err
-	}
-
-	var out io.Writer = os.Stdout
-	if fOpt.outputFile != nil && *fOpt.outputFile != "" {
-		f, err := os.OpenFile(*fOpt.outputFile, os.O_CREATE|os.O_WRONLY, 0o644)
-		if err != nil {
-			fmt.Fprintf(os.Stderr, "ERROR: cannot open output file %s: %v\n", *fOpt.outputFile, err)
-			return err
-		}
-		defer f.Close()
-		out = f
-	}
-
-	for _, model := range models {
-		for range *fOpt.epochs {
-			options := make(map[string]interface{})
-			if *fOpt.maxTokens > 0 {
-				options["num_predict"] = *fOpt.maxTokens
-			}
-			options["temperature"] = *fOpt.temperature
-			if fOpt.seed != nil && *fOpt.seed > 0 {
-				options["seed"] = *fOpt.seed
-			}
-
-			var keepAliveDuration *api.Duration
-			if *fOpt.keepAlive > 0 {
-				duration := api.Duration{Duration: time.Duration(*fOpt.keepAlive * float64(time.Second))}
-				keepAliveDuration = &duration
-			}
-
-			req := &api.ChatRequest{
-				Model: model,
-				Messages: []api.Message{
-					{
-						Role:    "user",
-						Content: *fOpt.prompt,
-					},
-				},
-				Options:   options,
-				KeepAlive: keepAliveDuration,
-			}
-
-			if imgData != nil {
-				req.Messages[0].Images = []api.ImageData{imgData}
-			}
-
-			var responseMetrics *api.Metrics
-
-			ctx, cancel := context.WithTimeout(context.Background(), time.Duration(*fOpt.timeout)*time.Second)
-			defer cancel()
-
-			err = client.Chat(ctx, req, func(resp api.ChatResponse) error {
-				if *fOpt.debug {
-					fmt.Fprintf(os.Stderr, "%s", cmp.Or(resp.Message.Thinking, resp.Message.Content))
-				}
-
-				if resp.Done {
-					responseMetrics = &resp.Metrics
-				}
-				return nil
-			})
-
-			if *fOpt.debug {
-				fmt.Fprintln(os.Stderr)
-			}
-
-			if err != nil {
-				if ctx.Err() == context.DeadlineExceeded {
-					fmt.Fprintf(os.Stderr, "ERROR: Chat request timed out with model '%s' after %vs\n", model, 1)
-					continue
-				}
-				fmt.Fprintf(os.Stderr, "ERROR: Couldn't chat with model '%s': %v\n", model, err)
-				continue
-			}
-
-			if responseMetrics == nil {
-				fmt.Fprintf(os.Stderr, "ERROR: No metrics received for model '%s'\n", model)
-				continue
-			}
-
-			metrics := []Metrics{
-				{
-					Model:    model,
-					Step:     "prefill",
-					Count:    responseMetrics.PromptEvalCount,
-					Duration: responseMetrics.PromptEvalDuration,
-				},
-				{
-					Model:    model,
-					Step:     "generate",
-					Count:    responseMetrics.EvalCount,
-					Duration: responseMetrics.EvalDuration,
-				},
-				{
-					Model:    model,
-					Step:     "load",
-					Count:    1,
-					Duration: responseMetrics.LoadDuration,
-				},
-				{
-					Model:    model,
-					Step:     "total",
-					Count:    1,
-					Duration: responseMetrics.TotalDuration,
-				},
-			}
-
-			OutputMetrics(out, *fOpt.format, metrics, *fOpt.verbose)
-
-			if *fOpt.keepAlive > 0 {
-				time.Sleep(time.Duration(*fOpt.keepAlive*float64(time.Second)) + 200*time.Millisecond)
-			}
-		}
-	}
-
-	return nil
-}
-
-func readImage(filePath string) (api.ImageData, error) {
-	file, err := os.Open(filePath)
-	if err != nil {
-		return nil, err
-	}
-	defer file.Close()
-
-	data, err := io.ReadAll(file)
-	if err != nil {
-		return nil, err
-	}
-
-	return api.ImageData(data), nil
-}
-
-func main() {
-	fOpt := flagOptions{
-		models:      flag.String("model", "", "Model to benchmark"),
-		epochs:      flag.Int("epochs", 6, "Number of epochs (iterations) per model"),
-		maxTokens:   flag.Int("max-tokens", 200, "Maximum tokens for model response"),
-		temperature: flag.Float64("temperature", 0, "Temperature parameter"),
-		seed:        flag.Int("seed", 0, "Random seed"),
-		timeout:     flag.Int("timeout", 60*5, "Timeout in seconds (default 300s)"),
-		prompt:      flag.String("p", DefaultPrompt, "Prompt to use"),
-		imageFile:   flag.String("image", "", "Filename for an image to include"),
-		keepAlive:   flag.Float64("k", 0, "Keep alive duration in seconds"),
-		format:      flag.String("format", "markdown", "Output format [benchstat|csv] (default benchstat)"),
-		outputFile:  flag.String("output", "", "Output file for results (stdout if empty)"),
-		verbose:     flag.Bool("v", false, "Show system information"),
-		debug:       flag.Bool("debug", false, "Show debug information"),
-	}
-
-	flag.Usage = func() {
-		fmt.Fprintf(os.Stderr, "Usage: %s [OPTIONS]\n\n", os.Args[0])
-		fmt.Fprintf(os.Stderr, "Description:\n")
-		fmt.Fprintf(os.Stderr, "  Model benchmarking tool with configurable parameters\n\n")
-		fmt.Fprintf(os.Stderr, "Options:\n")
-		flag.PrintDefaults()
-		fmt.Fprintf(os.Stderr, "\nExamples:\n")
-		fmt.Fprintf(os.Stderr, "  bench -model gpt-oss:20b -epochs 3 -temperature 0.7\n")
-	}
-	flag.Parse()
-
-	if !slices.Contains([]string{"markdown", "benchstat", "csv"}, *fOpt.format) {
-		fmt.Fprintf(os.Stderr, "ERROR: Unknown format '%s'\n", *fOpt.format)
-		os.Exit(1)
-	}
-
-	if len(*fOpt.models) == 0 {
-		fmt.Fprintf(os.Stderr, "ERROR: No model(s) specified to benchmark.\n")
-		flag.Usage()
-		return
-	}
-
-	BenchmarkChat(fOpt)
-}

cmd/bench/bench_test.go

@@ -1,463 +0,0 @@
-package main
-
-import (
-	"bytes"
-	"crypto/rand"
-	"encoding/json"
-	"io"
-	"net/http"
-	"net/http/httptest"
-	"os"
-	"strings"
-	"testing"
-	"time"
-
-	"github.com/ollama/ollama/api"
-)
-
-func createTestFlagOptions() flagOptions {
-	models := "test-model"
-	format := "benchstat"
-	epochs := 1
-	maxTokens := 100
-	temperature := 0.7
-	seed := 42
-	timeout := 30
-	prompt := "test prompt"
-	imageFile := ""
-	keepAlive := 5.0
-	verbose := false
-	debug := false
-
-	return flagOptions{
-		models:      &models,
-		format:      &format,
-		epochs:      &epochs,
-		maxTokens:   &maxTokens,
-		temperature: &temperature,
-		seed:        &seed,
-		timeout:     &timeout,
-		prompt:      &prompt,
-		imageFile:   &imageFile,
-		keepAlive:   &keepAlive,
-		verbose:     &verbose,
-		debug:       &debug,
-	}
-}
-
-func captureOutput(f func()) string {
-	oldStdout := os.Stdout
-	oldStderr := os.Stderr
-	defer func() {
-		os.Stdout = oldStdout
-		os.Stderr = oldStderr
-	}()
-
-	r, w, _ := os.Pipe()
-	os.Stdout = w
-	os.Stderr = w
-
-	f()
-
-	w.Close()
-	var buf bytes.Buffer
-	io.Copy(&buf, r)
-	return buf.String()
-}
-
-func createMockOllamaServer(t *testing.T, responses []api.ChatResponse) *httptest.Server {
-	return httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
-		if r.URL.Path != "/api/chat" {
-			t.Errorf("Expected path /api/chat, got %s", r.URL.Path)
-			http.Error(w, "Not found", http.StatusNotFound)
-			return
-		}
-
-		if r.Method != "POST" {
-			t.Errorf("Expected POST method, got %s", r.Method)
-			http.Error(w, "Method not allowed", http.StatusMethodNotAllowed)
-			return
-		}
-
-		w.Header().Set("Content-Type", "application/json")
-		w.WriteHeader(http.StatusOK)
-
-		for _, resp := range responses {
-			jsonData, err := json.Marshal(resp)
-			if err != nil {
-				t.Errorf("Failed to marshal response: %v", err)
-				return
-			}
-			w.Write(jsonData)
-			w.Write([]byte("\n"))
-			if f, ok := w.(http.Flusher); ok {
-				f.Flush()
-			}
-			time.Sleep(10 * time.Millisecond) // Simulate some delay
-		}
-	}))
-}
-
-func TestBenchmarkChat_Success(t *testing.T) {
-	fOpt := createTestFlagOptions()
-
-	mockResponses := []api.ChatResponse{
-		{
-			Model: "test-model",
-			Message: api.Message{
-				Role:    "assistant",
-				Content: "test response part 1",
-			},
-			Done: false,
-		},
-		{
-			Model: "test-model",
-			Message: api.Message{
-				Role:    "assistant",
-				Content: "test response part 2",
-			},
-			Done: true,
-			Metrics: api.Metrics{
-				PromptEvalCount:    10,
-				PromptEvalDuration: 100 * time.Millisecond,
-				EvalCount:          50,
-				EvalDuration:       500 * time.Millisecond,
-				TotalDuration:      600 * time.Millisecond,
-				LoadDuration:       50 * time.Millisecond,
-			},
-		},
-	}
-
-	server := createMockOllamaServer(t, mockResponses)
-	defer server.Close()
-
-	t.Setenv("OLLAMA_HOST", server.URL)
-
-	output := captureOutput(func() {
-		err := BenchmarkChat(fOpt)
-		if err != nil {
-			t.Errorf("Expected no error, got %v", err)
-		}
-	})
-
-	if !strings.Contains(output, "BenchmarkModel/name=test-model/step=prefill") {
-		t.Errorf("Expected output to contain prefill metrics, got: %s", output)
-	}
-	if !strings.Contains(output, "BenchmarkModel/name=test-model/step=generate") {
-		t.Errorf("Expected output to contain generate metrics, got: %s", output)
-	}
-	if !strings.Contains(output, "ns/token") {
-		t.Errorf("Expected output to contain ns/token metric, got: %s", output)
-	}
-}
-
-func TestBenchmarkChat_ServerError(t *testing.T) {
-	fOpt := createTestFlagOptions()
-
-	server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
-		http.Error(w, "Internal server error", http.StatusInternalServerError)
-	}))
-	defer server.Close()
-
-	t.Setenv("OLLAMA_HOST", server.URL)
-
-	output := captureOutput(func() {
-		err := BenchmarkChat(fOpt)
-		if err != nil {
-			t.Errorf("Expected error to be handled internally, got returned error: %v", err)
-		}
-	})
-
-	if !strings.Contains(output, "ERROR: Couldn't chat with model") {
-		t.Errorf("Expected error message about chat failure, got: %s", output)
-	}
-}
-
-func TestBenchmarkChat_Timeout(t *testing.T) {
-	fOpt := createTestFlagOptions()
-	shortTimeout := 1 // Very short timeout
-	fOpt.timeout = &shortTimeout
-
-	server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
-		// Simulate a long delay that will cause timeout
-		time.Sleep(2 * time.Second)
-
-		w.Header().Set("Content-Type", "application/json")
-		response := api.ChatResponse{
-			Model: "test-model",
-			Message: api.Message{
-				Role:    "assistant",
-				Content: "test response",
-			},
-			Done: true,
-			Metrics: api.Metrics{
-				PromptEvalCount:    10,
-				PromptEvalDuration: 100 * time.Millisecond,
-				EvalCount:          50,
-				EvalDuration:       500 * time.Millisecond,
-				TotalDuration:      600 * time.Millisecond,
-				LoadDuration:       50 * time.Millisecond,
-			},
-		}
-		jsonData, _ := json.Marshal(response)
-		w.Write(jsonData)
-	}))
-	defer server.Close()
-
-	t.Setenv("OLLAMA_HOST", server.URL)
-
-	output := captureOutput(func() {
-		err := BenchmarkChat(fOpt)
-		if err != nil {
-			t.Errorf("Expected timeout to be handled internally, got returned error: %v", err)
-		}
-	})
-
-	if !strings.Contains(output, "ERROR: Chat request timed out") {
-		t.Errorf("Expected timeout error message, got: %s", output)
-	}
-}
-
-func TestBenchmarkChat_NoMetrics(t *testing.T) {
-	fOpt := createTestFlagOptions()
-
-	mockResponses := []api.ChatResponse{
-		{
-			Model: "test-model",
-			Message: api.Message{
-				Role:    "assistant",
-				Content: "test response",
-			},
-			Done: false, // Never sends Done=true
-		},
-	}
-
-	server := createMockOllamaServer(t, mockResponses)
-	defer server.Close()
-
-	t.Setenv("OLLAMA_HOST", server.URL)
-
-	output := captureOutput(func() {
-		err := BenchmarkChat(fOpt)
-		if err != nil {
-			t.Errorf("Expected no error, got %v", err)
-		}
-	})
-
-	if !strings.Contains(output, "ERROR: No metrics received") {
-		t.Errorf("Expected no metrics error message, got: %s", output)
-	}
-}
-
-func TestBenchmarkChat_MultipleModels(t *testing.T) {
-	fOpt := createTestFlagOptions()
-	models := "model1,model2"
-	epochs := 2
-	fOpt.models = &models
-	fOpt.epochs = &epochs
-
-	callCount := 0
-	server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
-		callCount++
-
-		w.Header().Set("Content-Type", "application/json")
-
-		var req api.ChatRequest
-		body, _ := io.ReadAll(r.Body)
-		json.Unmarshal(body, &req)
-
-		response := api.ChatResponse{
-			Model: req.Model,
-			Message: api.Message{
-				Role:    "assistant",
-				Content: "test response for " + req.Model,
-			},
-			Done: true,
-			Metrics: api.Metrics{
-				PromptEvalCount:    10,
-				PromptEvalDuration: 100 * time.Millisecond,
-				EvalCount:          50,
-				EvalDuration:       500 * time.Millisecond,
-				TotalDuration:      600 * time.Millisecond,
-				LoadDuration:       50 * time.Millisecond,
-			},
-		}
-		jsonData, _ := json.Marshal(response)
-		w.Write(jsonData)
-	}))
-	defer server.Close()
-
-	t.Setenv("OLLAMA_HOST", server.URL)
-
-	output := captureOutput(func() {
-		err := BenchmarkChat(fOpt)
-		if err != nil {
-			t.Errorf("Expected no error, got %v", err)
-		}
-	})
-
-	// Should be called 4 times (2 models × 2 epochs)
-	if callCount != 4 {
-		t.Errorf("Expected 4 API calls, got %d", callCount)
-	}
-
-	if !strings.Contains(output, "BenchmarkModel/name=model1") || !strings.Contains(output, "BenchmarkModel/name=model2") {
-		t.Errorf("Expected output for both models, got: %s", output)
-	}
-}
-
-func TestBenchmarkChat_WithImage(t *testing.T) {
-	fOpt := createTestFlagOptions()
-
-	tmpfile, err := os.CreateTemp(t.TempDir(), "testimage")
-	if err != nil {
-		t.Fatalf("Failed to create temp file: %v", err)
-	}
-	defer os.Remove(tmpfile.Name())
-
-	content := []byte("fake image data")
-	if _, err := tmpfile.Write(content); err != nil {
-		t.Fatalf("Failed to write to temp file: %v", err)
-	}
-	tmpfile.Close()
-
-	tmpfileName := tmpfile.Name()
-	fOpt.imageFile = &tmpfileName
-
-	server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
-		// Verify the request contains image data
-		var req api.ChatRequest
-		body, _ := io.ReadAll(r.Body)
-		json.Unmarshal(body, &req)
-
-		if len(req.Messages) == 0 || len(req.Messages[0].Images) == 0 {
-			t.Error("Expected request to contain images")
-		}
-
-		w.Header().Set("Content-Type", "application/json")
-		response := api.ChatResponse{
-			Model: "test-model",
-			Message: api.Message{
-				Role:    "assistant",
-				Content: "test response with image",
-			},
-			Done: true,
-			Metrics: api.Metrics{
-				PromptEvalCount:    10,
-				PromptEvalDuration: 100 * time.Millisecond,
-				EvalCount:          50,
-				EvalDuration:       500 * time.Millisecond,
-				TotalDuration:      600 * time.Millisecond,
-				LoadDuration:       50 * time.Millisecond,
-			},
-		}
-		jsonData, _ := json.Marshal(response)
-		w.Write(jsonData)
-	}))
-	defer server.Close()
-
-	t.Setenv("OLLAMA_HOST", server.URL)
-
-	output := captureOutput(func() {
-		err := BenchmarkChat(fOpt)
-		if err != nil {
-			t.Errorf("Expected no error, got %v", err)
-		}
-	})
-
-	if !strings.Contains(output, "BenchmarkModel/name=test-model") {
-		t.Errorf("Expected benchmark output, got: %s", output)
-	}
-}
-
-func TestBenchmarkChat_ImageError(t *testing.T) {
-	randFileName := func() string {
-		const charset = "abcdefghijklmnopqrstuvwxyz0123456789"
-		const length = 8
-
-		result := make([]byte, length)
-		rand.Read(result) // Fill with random bytes
-
-		for i := range result {
-			result[i] = charset[result[i]%byte(len(charset))]
-		}
-
-		return string(result) + ".txt"
-	}
-
-	fOpt := createTestFlagOptions()
-	imageFile := randFileName()
-	fOpt.imageFile = &imageFile
-
-	output := captureOutput(func() {
-		err := BenchmarkChat(fOpt)
-		if err == nil {
-			t.Error("Expected error from image reading, got nil")
-		}
-	})
-
-	if !strings.Contains(output, "ERROR: Couldn't read image") {
-		t.Errorf("Expected image read error message, got: %s", output)
-	}
-}
-
-func TestReadImage_Success(t *testing.T) {
-	tmpfile, err := os.CreateTemp(t.TempDir(), "testimage")
-	if err != nil {
-		t.Fatalf("Failed to create temp file: %v", err)
-	}
-	defer os.Remove(tmpfile.Name())
-
-	content := []byte("fake image data")
-	if _, err := tmpfile.Write(content); err != nil {
-		t.Fatalf("Failed to write to temp file: %v", err)
-	}
-	tmpfile.Close()
-
-	imgData, err := readImage(tmpfile.Name())
-	if err != nil {
-		t.Errorf("Expected no error, got %v", err)
-	}
-
-	if imgData == nil {
-		t.Error("Expected image data, got nil")
-	}
-
-	expected := api.ImageData(content)
-	if string(imgData) != string(expected) {
-		t.Errorf("Expected image data %v, got %v", expected, imgData)
-	}
-}
-
-func TestReadImage_FileNotFound(t *testing.T) {
-	imgData, err := readImage("nonexistentfile.jpg")
-	if err == nil {
-		t.Error("Expected error for non-existent file, got nil")
-	}
-	if imgData != nil {
-		t.Error("Expected nil image data for non-existent file")
-	}
-}
-
-func TestOptionsMapCreation(t *testing.T) {
-	fOpt := createTestFlagOptions()
-
-	options := make(map[string]interface{})
-	if *fOpt.maxTokens > 0 {
-		options["num_predict"] = *fOpt.maxTokens
-	}
-	options["temperature"] = *fOpt.temperature
-	if fOpt.seed != nil && *fOpt.seed > 0 {
-		options["seed"] = *fOpt.seed
-	}
-
-	if options["num_predict"] != *fOpt.maxTokens {
-		t.Errorf("Expected num_predict %d, got %v", *fOpt.maxTokens, options["num_predict"])
-	}
-	if options["temperature"] != *fOpt.temperature {
-		t.Errorf("Expected temperature %f, got %v", *fOpt.temperature, options["temperature"])
-	}
-	if options["seed"] != *fOpt.seed {
-		t.Errorf("Expected seed %d, got %v", *fOpt.seed, options["seed"])
-	}
-}

cmd/cmd.go

@@ -45,9 +45,6 @@ import (
 	"github.com/ollama/ollama/types/model"
 	"github.com/ollama/ollama/types/syncmap"
 	"github.com/ollama/ollama/version"
-	xcmd "github.com/ollama/ollama/x/cmd"
-	"github.com/ollama/ollama/x/imagegen"
-	imagegenclient "github.com/ollama/ollama/x/imagegen/client"
 )
 
 const ConnectInstructions = "To sign in, navigate to:\n    %s\n\n"
@@ -98,11 +95,6 @@ func CreateHandler(cmd *cobra.Command, args []string) error {
 	filename, err := getModelfileName(cmd)
 	if os.IsNotExist(err) {
 		if filename == "" {
-			// No Modelfile found - check if current directory is an image gen model
-			if imagegen.IsTensorModelDir(".") {
-				quantize, _ := cmd.Flags().GetString("quantize")
-				return imagegenclient.CreateModel(args[0], ".", quantize, p)
-			}
 			reader = strings.NewReader("FROM .\n")
 		} else {
 			return errModelfileNotFound
@@ -464,7 +456,6 @@ func RunHandler(cmd *cobra.Command, args []string) error {
 	}
 
 	name := args[0]
-
 	info, err := func() (*api.ShowResponse, error) {
 		showReq := &api.ShowRequest{Name: name}
 		info, err := client.Show(cmd.Context(), showReq)
@@ -526,19 +517,6 @@ func RunHandler(cmd *cobra.Command, args []string) error {
 		return generateEmbedding(cmd, name, opts.Prompt, opts.KeepAlive, truncate, dimensions)
 	}
 
-	// Check if this is an image generation model
-	if slices.Contains(info.Capabilities, model.CapabilityImageGeneration) {
-		if opts.Prompt == "" && !interactive {
-			return errors.New("image generation models require a prompt. Usage: ollama run " + name + " \"your prompt here\"")
-		}
-		return imagegen.RunCLI(cmd, name, opts.Prompt, interactive, opts.KeepAlive)
-	}
-
-	// Check for experimental flag
-	isExperimental, _ := cmd.Flags().GetBool("experimental")
-	yoloMode, _ := cmd.Flags().GetBool("experimental-yolo")
-	enableWebsearch, _ := cmd.Flags().GetBool("experimental-websearch")
-
 	if interactive {
 		if err := loadOrUnloadModel(cmd, &opts); err != nil {
 			var sErr api.AuthorizationError
@@ -565,11 +543,6 @@ func RunHandler(cmd *cobra.Command, args []string) error {
 			}
 		}
 
-		// Use experimental agent loop with tools
-		if isExperimental {
-			return xcmd.GenerateInteractive(cmd, opts.Model, opts.WordWrap, opts.Options, opts.Think, opts.HideThinking, opts.KeepAlive, yoloMode, enableWebsearch)
-		}
-
 		return generateInteractive(cmd, opts)
 	}
 	return generate(cmd, opts)
@@ -673,11 +646,7 @@ func PushHandler(cmd *cobra.Command, args []string) error {
 
 			bar, ok := bars[resp.Digest]
 			if !ok {
-				msg := resp.Status
+				bar = progress.NewBar(fmt.Sprintf("pushing %s...", resp.Digest[7:19]), resp.Total, resp.Completed)
-				if msg == "" {
-					msg = fmt.Sprintf("pushing %s...", resp.Digest[7:19])
-				}
-				bar = progress.NewBar(msg, resp.Total, resp.Completed)
 				bars[resp.Digest] = bar
 				p.Add(resp.Digest, bar)
 			}
@@ -974,9 +943,6 @@ func showInfo(resp *api.ShowResponse, verbose bool, w io.Writer) error {
 			rows = append(rows, []string{"", "parameters", resp.Details.ParameterSize})
 		}
 		rows = append(rows, []string{"", "quantization", resp.Details.QuantizationLevel})
-		if resp.Requires != "" {
-			rows = append(rows, []string{"", "requires", resp.Requires})
-		}
 		return
 	})
 
@@ -1464,7 +1430,7 @@ func chat(cmd *cobra.Command, opts runOptions) (*api.Message, error) {
 		latest.Summary()
 	}
 
-	return &api.Message{Role: role, Thinking: thinkingContent.String(), Content: fullResponse.String()}, nil
+	return &api.Message{Role: role, Content: fullResponse.String()}, nil
 }
 
 func generate(cmd *cobra.Command, opts runOptions) error {
@@ -1785,12 +1751,6 @@ func NewCLI() *cobra.Command {
 	runCmd.Flags().Bool("hidethinking", false, "Hide thinking output (if provided)")
 	runCmd.Flags().Bool("truncate", false, "For embedding models: truncate inputs exceeding context length (default: true). Set --truncate=false to error instead")
 	runCmd.Flags().Int("dimensions", 0, "Truncate output embeddings to specified dimension (embedding models only)")
-	runCmd.Flags().Bool("experimental", false, "Enable experimental agent loop with tools")
-	runCmd.Flags().Bool("experimental-yolo", false, "Skip all tool approval prompts (use with caution)")
-	runCmd.Flags().Bool("experimental-websearch", false, "Enable web search tool in experimental mode")
-
-	// Image generation flags (width, height, steps, seed, etc.)
-	imagegen.RegisterFlags(runCmd)
 
 	stopCmd := &cobra.Command{
 		Use:     "stop MODEL",

cmd/cmd_test.go

@@ -291,31 +291,6 @@ Weigh anchor!
 			t.Errorf("unexpected output (-want +got):\n%s", diff)
 		}
 	})
-
-	t.Run("min version", func(t *testing.T) {
-		var b bytes.Buffer
-		if err := showInfo(&api.ShowResponse{
-			Details: api.ModelDetails{
-				Family:            "test",
-				ParameterSize:     "7B",
-				QuantizationLevel: "FP16",
-			},
-			Requires: "0.14.0",
-		}, false, &b); err != nil {
-			t.Fatal(err)
-		}
-
-		expect := `  Model
-    architecture    test      
-    parameters      7B        
-    quantization    FP16      
-    requires        0.14.0    
-
-`
-		if diff := cmp.Diff(expect, b.String()); diff != "" {
-			t.Errorf("unexpected output (-want +got):\n%s", diff)
-		}
-	})
 }
 
 func TestDeleteHandler(t *testing.T) {
@@ -1547,79 +1522,6 @@ func TestRunOptions_Copy_ThinkValueVariants(t *testing.T) {
 	}
 }
 
-func TestShowInfoImageGen(t *testing.T) {
-	var b bytes.Buffer
-	err := showInfo(&api.ShowResponse{
-		Details: api.ModelDetails{
-			Family:            "ZImagePipeline",
-			ParameterSize:     "10.3B",
-			QuantizationLevel: "FP8",
-		},
-		Capabilities: []model.Capability{model.CapabilityImageGeneration},
-		Requires:     "0.14.0",
-	}, false, &b)
-	if err != nil {
-		t.Fatal(err)
-	}
-
-	expect := "  Model\n" +
-		"    architecture    ZImagePipeline    \n" +
-		"    parameters      10.3B             \n" +
-		"    quantization    FP8               \n" +
-		"    requires        0.14.0            \n" +
-		"\n" +
-		"  Capabilities\n" +
-		"    image    \n" +
-		"\n"
-	if diff := cmp.Diff(expect, b.String()); diff != "" {
-		t.Errorf("unexpected output (-want +got):\n%s", diff)
-	}
-}
-
-func TestPushProgressMessage(t *testing.T) {
-	tests := []struct {
-		name    string
-		status  string
-		digest  string
-		wantMsg string
-	}{
-		{
-			name:    "uses status when provided",
-			status:  "uploading model",
-			digest:  "sha256:abc123456789def",
-			wantMsg: "uploading model",
-		},
-		{
-			name:    "falls back to digest when status empty",
-			status:  "",
-			digest:  "sha256:abc123456789def",
-			wantMsg: "pushing abc123456789...",
-		},
-		{
-			name:    "handles short digest gracefully",
-			status:  "",
-			digest:  "sha256:abc",
-			wantMsg: "pushing sha256:abc...",
-		},
-	}
-
-	for _, tt := range tests {
-		t.Run(tt.name, func(t *testing.T) {
-			msg := tt.status
-			if msg == "" {
-				if len(tt.digest) >= 19 {
-					msg = fmt.Sprintf("pushing %s...", tt.digest[7:19])
-				} else {
-					msg = fmt.Sprintf("pushing %s...", tt.digest)
-				}
-			}
-			if msg != tt.wantMsg {
-				t.Errorf("got %q, want %q", msg, tt.wantMsg)
-			}
-		})
-	}
-}
-
 func TestRunOptions_Copy_Independence(t *testing.T) {
 	// Test that modifications to original don't affect copy
 	originalThink := &api.ThinkValue{Value: "original"}

cmd/interactive.go

@@ -40,7 +40,6 @@ func generateInteractive(cmd *cobra.Command, opts runOptions) error {
 		fmt.Fprintln(os.Stderr, "  /bye            Exit")
 		fmt.Fprintln(os.Stderr, "  /?, /help       Help for a command")
 		fmt.Fprintln(os.Stderr, "  /? shortcuts    Help for keyboard shortcuts")
-
 		fmt.Fprintln(os.Stderr, "")
 		fmt.Fprintln(os.Stderr, "Use \"\"\" to begin a multi-line message.")
 

convert/convert.go

@@ -6,14 +6,11 @@ import (
 	"errors"
 	"fmt"
 	"io/fs"
-	"iter"
 	"log/slog"
-	"maps"
 	"os"
 	"slices"
 	"strings"
 
-	ofs "github.com/ollama/ollama/fs"
 	"github.com/ollama/ollama/fs/ggml"
 )
 
@@ -21,13 +18,8 @@ type ModelParameters struct {
 	Architectures []string `json:"architectures"`
 	VocabSize     uint32   `json:"vocab_size"`
 
-	// TODO is this needed?
-	ModelType string `json:"model_type"`
-
 	TextModel struct {
 		VocabSize uint32 `json:"vocab_size"`
-		HiddenSize uint32 `json:"hidden_size"`
-		ModelType  string `json:"model_type"`
 	} `json:"text_config"`
 }
 
@@ -41,94 +33,8 @@ type AdapterParameters struct {
 	} `json:"lora_parameters"`
 }
 
-type KV map[string]any
+func (ModelParameters) KV(t *Tokenizer) ggml.KV {
-
+	kv := ggml.KV{
-func (kv KV) Architecture() string {
-	return kv.String("general.architecture", "unknown")
-}
-
-type valueTypes interface {
-	uint8 | int8 | uint16 | int16 |
-		uint32 | int32 | uint64 | int64 |
-		string | float32 | float64 | bool
-}
-
-type arrayValueTypes interface {
-	[]uint8 | []int8 | []uint16 | []int16 |
-		[]uint32 | []int32 | []uint64 | []int64 |
-		[]string | []float32 | []float64 | []bool
-}
-
-func keyValue[T valueTypes | arrayValueTypes](kv KV, key string, defaultValue ...T) (T, bool) {
-	if !strings.HasPrefix(key, "tokenizer.") && !strings.HasPrefix(key, "general.") {
-		key = kv.Architecture() + "." + key
-	}
-
-	if val, ok := kv[key].(T); ok {
-		return val, true
-	}
-	return defaultValue[0], false
-}
-
-func (kv KV) String(key string, defaultValue ...string) string {
-	val, _ := keyValue(kv, key, append(defaultValue, "")...)
-	return val
-}
-
-func (kv KV) Uint(key string, defaultValue ...uint32) uint32 {
-	val, _ := keyValue(kv, key, append(defaultValue, 0)...)
-	return val
-}
-
-func (kv KV) Float(key string, defaultValue ...float32) float32 {
-	val, _ := keyValue(kv, key, append(defaultValue, 0)...)
-	return val
-}
-
-func (kv KV) Bool(key string, defaultValue ...bool) bool {
-	val, _ := keyValue(kv, key, append(defaultValue, false)...)
-	return val
-}
-
-func (kv KV) Strings(key string, defaultValue ...[]string) []string {
-	val, _ := keyValue(kv, key, append(defaultValue, []string{""})...)
-	return val
-}
-
-func (kv KV) Ints(key string, defaultValue ...[]int32) []int32 {
-	val, _ := keyValue(kv, key, append(defaultValue, []int32{0})...)
-	return val
-}
-
-func (kv KV) Uints(key string, defaultValue ...[]uint32) []uint32 {
-	val, _ := keyValue(kv, key, append(defaultValue, []uint32{0})...)
-	return val
-}
-
-func (kv KV) Floats(key string, defaultValue ...[]float32) []float32 {
-	val, _ := keyValue(kv, key, append(defaultValue, []float32{0})...)
-	return val
-}
-
-func (kv KV) Bools(key string, defaultValue ...[]bool) []bool {
-	val, _ := keyValue(kv, key, append(defaultValue, []bool{false})...)
-	return val
-}
-
-func (kv KV) Len() int {
-	return len(kv)
-}
-
-func (kv KV) Keys() iter.Seq[string] {
-	return maps.Keys(kv)
-}
-
-func (kv KV) Value(key string) any {
-	return kv[key]
-}
-
-func (ModelParameters) KV(t *Tokenizer) KV {
-	kv := KV{
 		"general.file_type":            uint32(1),
 		"general.quantization_version": uint32(2),
 		"tokenizer.ggml.pre":           t.Pre,
@@ -157,7 +63,7 @@ func (ModelParameters) KV(t *Tokenizer) KV {
 	return kv
 }
 
-func (p AdapterParameters) KV() KV {
+func (p AdapterParameters) KV() ggml.KV {
 	var alpha float32
 	if p.LoraParameters.Alpha == 0 {
 		alpha = float32(p.Alpha)
@@ -165,7 +71,7 @@ func (p AdapterParameters) KV() KV {
 		alpha = p.LoraParameters.Alpha
 	}
 
-	kv := KV{
+	kv := ggml.KV{
 		"adapter.lora.alpha": alpha,
 		"adapter.type":       "lora",
 		"general.file_type":  uint32(1),
@@ -182,14 +88,9 @@ func (ModelParameters) specialTokenTypes() []string {
 	}
 }
 
-type ModelKV interface {
-	// KV maps parameters to LLM key-values
-	KV(*Tokenizer) KV
-}
-
 type ModelConverter interface {
-	ModelKV
+	// KV maps parameters to LLM key-values
-
+	KV(*Tokenizer) ggml.KV
 	// Tensors maps input tensors to LLM tensors. Model specific modifications can be done here.
 	Tensors([]Tensor) []*ggml.Tensor
 	// Replacements returns a list of string pairs to replace in tensor names.
@@ -206,7 +107,7 @@ type moreParser interface {
 
 type AdapterConverter interface {
 	// KV maps parameters to LLM key-values
-	KV(ofs.Config) KV
+	KV(ggml.KV) ggml.KV
 	// Tensors maps input tensors to LLM tensors. Adapter specific modifications can be done here.
 	Tensors([]Tensor) []*ggml.Tensor
 	// Replacements returns a list of string pairs to replace in tensor names.
@@ -214,7 +115,7 @@ type AdapterConverter interface {
 	Replacements() []string
 }
 
-func ConvertAdapter(fsys fs.FS, f *os.File, baseKV ofs.Config) error {
+func ConvertAdapter(fsys fs.FS, f *os.File, baseKV ggml.KV) error {
 	bts, err := fs.ReadFile(fsys, "adapter_config.json")
 	if err != nil {
 		return err
@@ -225,8 +126,8 @@ func ConvertAdapter(fsys fs.FS, f *os.File, baseKV ofs.Config) error {
 		return err
 	}
 
-	arch := baseKV.Architecture()
+	arch, ok := baseKV["general.architecture"]
-	if arch == "" {
+	if !ok {
 		return errors.New("architecture not set for the base model")
 	}
 
@@ -252,19 +153,23 @@ func ConvertAdapter(fsys fs.FS, f *os.File, baseKV ofs.Config) error {
 	return writeFile(f, conv.KV(baseKV), conv.Tensors(ts))
 }
 
-func LoadModelMetadata(fsys fs.FS) (ModelKV, *Tokenizer, error) {
+// Convert writes an Ollama compatible model to the provided io.WriteSeeker based on configurations
+// and files it finds in the input path.
+// Supported input model formats include safetensors.
+// Supported input tokenizers files include tokenizer.json (preferred) and tokenizer.model.
+func ConvertModel(fsys fs.FS, f *os.File) error {
 	bts, err := fs.ReadFile(fsys, "config.json")
 	if err != nil {
-		return nil, nil, err
+		return err
 	}
 
 	var p ModelParameters
 	if err := json.Unmarshal(bts, &p); err != nil {
-		return nil, nil, err
+		return err
 	}
 
 	if len(p.Architectures) < 1 {
-		return nil, nil, errors.New("unknown architecture")
+		return errors.New("unknown architecture")
 	}
 
 	var conv ModelConverter
@@ -277,8 +182,6 @@ func LoadModelMetadata(fsys fs.FS) (ModelKV, *Tokenizer, error) {
 		conv = &llama4Model{}
 	case "Mistral3ForConditionalGeneration":
 		conv = &mistral3Model{}
-	case "Ministral3ForCausalLM":
-		conv = &mistral3CausalModel{}
 	case "MixtralForCausalLM":
 		conv = &mixtralModel{}
 	case "GemmaForCausalLM":
@@ -297,37 +200,29 @@ func LoadModelMetadata(fsys fs.FS) (ModelKV, *Tokenizer, error) {
 		conv = &qwen25VLModel{}
 	case "Qwen3VLForConditionalGeneration", "Qwen3VLMoeForConditionalGeneration":
 		conv = &qwen3VLModel{}
-	case "Olmo3ForCausalLM":
-		conv = &olmoModel{}
 	case "BertModel":
 		conv = &bertModel{}
-	case "NomicBertModel", "NomicBertMoEModel":
-		conv = &nomicbertModel{}
 	case "CohereForCausalLM":
 		conv = &commandrModel{}
 	case "GptOssForCausalLM":
 		conv = &gptossModel{}
-	case "DeepseekOCRForCausalLM":
-		conv = &deepseekocr{}
-	case "DeepseekV3ForCausalLM":
-		conv = &deepseek2Model{}
 	default:
-		return nil, nil, fmt.Errorf("unsupported architecture %q", p.Architectures[0])
+		return fmt.Errorf("unsupported architecture %q", p.Architectures[0])
 	}
 
 	if err := json.Unmarshal(bts, conv); err != nil {
-		return nil, nil, err
+		return err
 	}
 
 	if t, ok := conv.(moreParser); ok {
 		if err := t.parseMore(fsys); err != nil {
-			return nil, nil, err
+			return err
 		}
 	}
 
 	t, err := parseTokenizer(fsys, conv.specialTokenTypes())
 	if err != nil {
-		return nil, nil, err
+		return err
 	}
 
 	vocabSize := int(cmp.Or(p.VocabSize, p.TextModel.VocabSize))
@@ -349,19 +244,6 @@ func LoadModelMetadata(fsys fs.FS) (ModelKV, *Tokenizer, error) {
 	default:
 		slog.Debug("vocabulary", "size", len(t.Vocabulary.Tokens))
 	}
-	return conv, t, nil
-}
-
-// Convert writes an Ollama compatible model to the provided io.WriteSeeker based on configurations
-// and files it finds in the input path.
-// Supported input model formats include safetensors.
-// Supported input tokenizers files include tokenizer.json (preferred) and tokenizer.model.
-func ConvertModel(fsys fs.FS, f *os.File) error {
-	kv, t, err := LoadModelMetadata(fsys)
-	if err != nil {
-		return err
-	}
-	conv := kv.(ModelConverter)
 
 	ts, err := parseTensors(fsys, strings.NewReplacer(conv.Replacements()...))
 	if err != nil {
@@ -371,7 +253,7 @@ func ConvertModel(fsys fs.FS, f *os.File) error {
 	return writeFile(f, conv.KV(t), conv.Tensors(ts))
 }
 
-func writeFile(f *os.File, kv KV, ts []*ggml.Tensor) error {
+func writeFile(f *os.File, kv ggml.KV, ts []*ggml.Tensor) error {
 	for i := range ts {
 		ts[i].Shape = slices.Clone(ts[i].Shape)
 		slices.Reverse(ts[i].Shape)

convert/convert_bert.go

@@ -88,7 +88,7 @@ func (p *bertModel) parseMore(fsys fs.FS) error {
 	return nil
 }
 
-func (p *bertModel) KV(t *Tokenizer) KV {
+func (p *bertModel) KV(t *Tokenizer) ggml.KV {
 	kv := p.ModelParameters.KV(t)
 	kv["general.architecture"] = "bert"
 	kv["bert.attention.causal"] = false

convert/convert_commandr.go

@@ -24,7 +24,7 @@ type commandrModel struct {
 
 var _ ModelConverter = (*commandrModel)(nil)
 
-func (p *commandrModel) KV(t *Tokenizer) KV {
+func (p *commandrModel) KV(t *Tokenizer) ggml.KV {
 	kv := p.ModelParameters.KV(t)
 	kv["general.architecture"] = "command-r"
 	kv["general.name"] = "command-r"

convert/convert_deepseek2.go

@@ -1,173 +0,0 @@
-package convert
-
-import (
-	"cmp"
-	"fmt"
-	"log/slog"
-	"regexp"
-	"strconv"
-
-	"github.com/ollama/ollama/fs/ggml"
-)
-
-type deepseek2Model struct {
-	ModelParameters               // architectures, vocab_size
-	MaxPositionEmbeddings uint32  `json:"max_position_embeddings"`
-	HiddenSize            uint32  `json:"hidden_size"`
-	HiddenLayers          uint32  `json:"num_hidden_layers"`
-	IntermediateSize      uint32  `json:"intermediate_size"`
-	NumAttentionHeads     uint32  `json:"num_attention_heads"`
-	NumKeyValueHeads      uint32  `json:"num_key_value_heads"`
-	RMSNormEPS            float32 `json:"rms_norm_eps"`
-
-	RopeTheta     float32 `json:"rope_theta"`
-	QKNopeHeadDim uint32  `json:"qk_nope_head_dim"`
-	QKRopeHeadDim uint32  `json:"qk_rope_head_dim"`
-	KVLoraRank    uint32  `json:"kv_lora_rank"`
-	QLoraRank     uint32  `json:"q_lora_rank"`
-	VHeadDim      uint32  `json:"v_head_dim"`
-
-	ExpertCount            uint32  `json:"n_routed_experts"`
-	ExpertSharedCount      uint32  `json:"n_shared_experts"`
-	ExpertIntermediateSize uint32  `json:"moe_intermediate_size"`
-	ExpertUsedCount        uint32  `json:"num_experts_per_tok"`
-	ExpertWeightsNorm      bool    `json:"norm_topk_prob"`
-	ExpertWeightsScale     float32 `json:"routed_scaling_factor"`
-
-	ScoringFunc            string `json:"scoring_func"`
-	LeadingDenseBlockCount uint32 `json:"first_k_dense_replace"`
-
-	RopeScaling struct {
-		Factor                        float32 `json:"factor"`
-		OriginalMaxPositionEmbeddings uint32  `json:"original_max_position_embeddings"`
-		Type                          string  `json:"type"`
-		MScaleAllDim                  float32 `json:"mscale_all_dim"`
-	} `json:"rope_scaling"`
-
-	Architecture string
-}
-
-func (p *deepseek2Model) KV(t *Tokenizer) KV {
-	kv := p.ModelParameters.KV(t)
-	kv["general.architecture"] = "deepseek2"
-	kv["general.type"] = "model"
-	kv["deepseek2.block_count"] = p.HiddenLayers
-
-	numHeads := p.NumAttentionHeads
-	numKVHeads := p.NumKeyValueHeads
-
-	kv["deepseek2.attention.head_count"] = numHeads
-	kv["deepseek2.attention.head_count_kv"] = numKVHeads
-	kv["deepseek2.attention.key_length"] = p.QKNopeHeadDim + p.QKRopeHeadDim
-	kv["deepseek2.attention.kv_lora_rank"] = p.KVLoraRank
-	kv["deepseek2.attention.layer_norm_rms_epsilon"] = p.RMSNormEPS
-	kv["deepseek2.attention.q_lora_rank"] = p.QLoraRank
-	kv["deepseek2.attention.value_length"] = p.VHeadDim
-	kv["deepseek2.context_length"] = p.MaxPositionEmbeddings
-	kv["deepseek2.embedding_length"] = p.HiddenSize
-	kv["deepseek2.expert_count"] = p.ExpertCount
-	kv["deepseek2.expert_feed_forward_length"] = p.ExpertIntermediateSize
-	kv["deepseek2.expert_shared_count"] = p.ExpertSharedCount
-
-	var scoringFunc uint32
-	switch p.ScoringFunc {
-	case "softmax":
-		// not currently supported in the model, but needed for Deepseek-OCR
-		scoringFunc = 1
-	case "sigmoid":
-		scoringFunc = 2
-	}
-	kv["deepseek2.expert_gating_func"] = scoringFunc
-	kv["deepseek2.expert_used_count"] = p.ExpertUsedCount
-	kv["deepseek2.expert_weights_norm"] = p.ExpertWeightsNorm
-	kv["deepseek2.expert_weights_scale"] = p.ExpertWeightsScale
-	kv["deepseek2.feed_forward_length"] = p.IntermediateSize
-	kv["deepseek2.leading_dense_block_count"] = p.LeadingDenseBlockCount
-
-	kv["deepseek2.rope.dimension_count"] = p.QKRopeHeadDim
-	kv["deepseek2.rope.freq_base"] = cmp.Or(p.RopeTheta, 10000.0)
-	kv["deepseek2.rope.scaling.factor"] = p.RopeScaling.Factor
-	kv["deepseek2.rope.scaling.original_context_length"] = p.RopeScaling.OriginalMaxPositionEmbeddings
-	kv["deepseek2.rope.scaling.type"] = p.RopeScaling.Type
-	kv["deepseek2.rope.scaling.yarn_log_multiplier"] = 0.1 * p.RopeScaling.MScaleAllDim
-
-	kv["tokenizer.ggml.pre"] = "deepseek-v3"
-
-	return kv
-}
-
-func (p *deepseek2Model) Replacements() []string {
-	return []string{
-		"lm_head", "output",
-		"model.embed_tokens", "token_embd",
-		"model.norm", "output_norm",
-		"language_model.", "",
-		"model.layers", "blk",
-		"input_layernorm", "attn_norm",
-		"self_attn.kv_a_proj_with_mqa", "attn_kv_a_mqa",
-		"self_attn.kv_a_layernorm", "attn_kv_a_norm",
-		"self_attn.kv_b_proj", "attn_kv_b",
-		"self_attn.q_a_proj", "attn_q_a",
-		"self_attn.q_a_layernorm", "attn_q_a_norm",
-		"self_attn.q_b_proj", "attn_q_b",
-		"self_attn.o_proj", "attn_output",
-		"post_attention_layernorm", "ffn_norm",
-		"mlp.shared_experts.down_proj", "ffn_down_shexp",
-		"mlp.shared_experts.gate_proj", "ffn_gate_shexp",
-		"mlp.shared_experts.up_proj", "ffn_up_shexp",
-		"mlp.gate_proj", "ffn_gate",
-		"mlp.down_proj", "ffn_down",
-		"mlp.up_proj", "ffn_up",
-		"mlp.gate.e_score_correction_bias", "exp_probs_b.bias",
-		"mlp.gate", "ffn_gate_inp",
-	}
-}
-
-func (p *deepseek2Model) Tensors(s []Tensor) (out []*ggml.Tensor) {
-	merges := make([]merge, p.HiddenLayers*3)
-	for i := range p.HiddenLayers {
-		merges[i*3+0] = merge{
-			fmt.Sprintf("blk.%d.mlp.experts.*.gate_proj.weight", i),
-			fmt.Sprintf("blk.%d.ffn_gate_exps.weight", i),
-		}
-		merges[i*3+1] = merge{
-			fmt.Sprintf("blk.%d.mlp.experts.*.up_proj.weight", i),
-			fmt.Sprintf("blk.%d.ffn_up_exps.weight", i),
-		}
-		merges[i*3+2] = merge{
-			fmt.Sprintf("blk.%d.mlp.experts.*.down_proj.weight", i),
-			fmt.Sprintf("blk.%d.ffn_down_exps.weight", i),
-		}
-	}
-
-	skipLayer := func(n string, minValue uint32) bool {
-		re := regexp.MustCompile(`^blk\.(\d+)`)
-		matches := re.FindStringSubmatch(n)
-		if matches == nil {
-			return false
-		}
-
-		blkNum, err := strconv.Atoi(matches[1])
-		if err != nil {
-			return false
-		}
-
-		return uint32(blkNum) >= minValue
-	}
-
-	out, s = mergeTensors(s, merges...)
-	for _, t := range s {
-		// skip any additional layers (such as the Multi-Token Prediction layer)
-		if skipLayer(t.Name(), p.HiddenLayers) {
-			slog.Debug("skipping layer", "name", t.Name())
-			continue
-		}
-		out = append(out, &ggml.Tensor{
-			Name:     t.Name(),
-			Kind:     t.Kind(),
-			Shape:    t.Shape(),
-			WriterTo: t,
-		})
-	}
-	return out
-}

convert/convert_deepseekocr.go

@@ -1,136 +0,0 @@
-package convert
-
-import (
-	"fmt"
-
-	"github.com/ollama/ollama/fs/ggml"
-)
-
-type deepseekocr struct {
-	ModelParameters
-	LanguageConfig struct {
-		MaxPositionEmbeddings uint32 `json:"max_position_embeddings"`
-		HiddenSize            uint32 `json:"hidden_size"`
-		HiddenLayers          uint32 `json:"num_hidden_layers"`
-		IntermediateSize      uint32 `json:"intermediate_size"`
-		NumAttentionHeads     uint32 `json:"num_attention_heads"`
-		NumKeyValueHeads      uint32 `json:"num_key_value_heads"`
-		NumRoutedExperts      uint32 `json:"n_routed_experts"`
-		NumSharedExperts      uint32 `json:"n_shared_experts"`
-		NumExpertsPerToken    uint32 `json:"num_experts_per_tok"`
-		FirstKDenseReplace    uint32 `json:"first_k_dense_replace"`
-	} `json:"language_config"`
-
-	VisionConfig struct {
-		ImageSize uint32 `json:"image_size"`
-		Width     struct {
-			Vision struct {
-				Heads     uint32 `json:"heads"`
-				ImageSize uint32 `json:"image_size"`
-				Layers    uint32 `json:"layers"`
-				PatchSize uint32 `json:"patch_size"`
-				Width     uint32 `json:"width"`
-			} `json:"clip-l-14-224"`
-			Sam struct {
-				GlobalAttentionIndexes []int32 `json:"global_attn_indexes"`
-				Heads                  uint32  `json:"heads"`
-				Layers                 uint32  `json:"layers"`
-				Width                  uint32  `json:"width"`
-			} `json:"sam_vit_b"`
-		}
-	} `json:"vision_config"`
-}
-
-func (m *deepseekocr) KV(t *Tokenizer) KV {
-	kv := m.ModelParameters.KV(t)
-	kv["general.architecture"] = "deepseekocr"
-	kv["block_count"] = m.LanguageConfig.HiddenLayers
-	kv["context_length"] = m.LanguageConfig.MaxPositionEmbeddings
-	kv["embedding_length"] = m.LanguageConfig.HiddenSize
-	kv["feed_forward_length"] = m.LanguageConfig.IntermediateSize
-	kv["attention.head_count"] = m.LanguageConfig.NumAttentionHeads
-	kv["attention.head_count_kv"] = m.LanguageConfig.NumKeyValueHeads
-	kv["expert_count"] = m.LanguageConfig.NumRoutedExperts
-	kv["expert_used_count"] = m.LanguageConfig.NumExpertsPerToken
-	kv["leading_dense_block_count"] = m.LanguageConfig.FirstKDenseReplace
-
-	kv["vision.block_count"] = m.VisionConfig.Width.Vision.Layers
-	kv["vision.embedding_length"] = m.VisionConfig.Width.Vision.Width
-	kv["vision.head_count"] = m.VisionConfig.Width.Vision.Heads
-	kv["vision.image_size"] = m.VisionConfig.Width.Vision.ImageSize
-	kv["vision.patch_size"] = m.VisionConfig.Width.Vision.PatchSize
-
-	kv["sam.block_count"] = m.VisionConfig.Width.Sam.Layers
-	kv["sam.embedding_length"] = m.VisionConfig.Width.Sam.Width
-	kv["sam.head_count"] = m.VisionConfig.Width.Sam.Heads
-	kv["sam.global_attention_indexes"] = m.VisionConfig.Width.Sam.GlobalAttentionIndexes
-	return kv
-}
-
-func (m *deepseekocr) Tensors(s []Tensor) (out []*ggml.Tensor) {
-	merges := make([]merge, m.LanguageConfig.HiddenLayers*3)
-	for i := range m.LanguageConfig.HiddenLayers {
-		merges[i*3+0] = merge{
-			fmt.Sprintf("blk.%d.mlp.experts.*.gate_proj.weight", i),
-			fmt.Sprintf("blk.%d.ffn_gate_exps.weight", i),
-		}
-		merges[i*3+1] = merge{
-			fmt.Sprintf("blk.%d.mlp.experts.*.up_proj.weight", i),
-			fmt.Sprintf("blk.%d.ffn_up_exps.weight", i),
-		}
-		merges[i*3+2] = merge{
-			fmt.Sprintf("blk.%d.mlp.experts.*.down_proj.weight", i),
-			fmt.Sprintf("blk.%d.ffn_down_exps.weight", i),
-		}
-	}
-
-	out, s = mergeTensors(s, merges...)
-	for _, t := range s {
-		out = append(out, &ggml.Tensor{
-			Name:     t.Name(),
-			Kind:     t.Kind(),
-			Shape:    t.Shape(),
-			WriterTo: t,
-		})
-	}
-	return out
-}
-
-func (m *deepseekocr) Replacements() []string {
-	return []string{
-		"model.embed_tokens", "token_embd",
-		"model.layers", "blk",
-		"input_layernorm", "attn_norm",
-		"self_attn.q_proj", "attn_q",
-		"self_attn.k_proj", "attn_k",
-		"self_attn.v_proj", "attn_v",
-		"self_attn.o_proj", "attn_output",
-		"post_attention_layernorm", "ffn_norm",
-		"mlp.gate_proj", "ffn_gate",
-		"mlp.up_proj", "ffn_up",
-		"mlp.down_proj", "ffn_down",
-		"mlp.gate", "ffn_gate_inp",
-		"mlp.shared_experts.gate_proj", "ffn_gate_shexp",
-		"mlp.shared_experts.up_proj", "ffn_up_shexp",
-		"mlp.shared_experts.down_proj", "ffn_down_shexp",
-		"model.norm", "output_norm",
-		"lm_head", "output",
-
-		"model.vision_model", "v",
-		"embeddings.patch_embedding", "patch_embd",
-		"embeddings.class_embedding", "class_embd",
-		"embeddings.position_embedding", "position_embd",
-		"transformer.layers", "blk",
-
-		"model.projector", "mm",
-		"model.image_newline", "mm.image_newline",
-		//nolint:misspell // this misspelling is upstream. fixing it breaks the model
-		"model.view_seperator", "mm.view_seperator",
-
-		"model.sam_model.patch_embed.proj", "s.patch_embd",
-		"model.sam_model.pos_embed", "s.position_embd",
-		"model.sam_model.blocks", "s.blk",
-		"model.sam_model.neck", "s.neck",
-		"model.sam_model.net_", "s.net_",
-	}
-}

convert/convert_gemma.go

@@ -23,7 +23,7 @@ type gemmaModel struct {
 
 var _ ModelConverter = (*gemmaModel)(nil)
 
-func (p *gemmaModel) KV(t *Tokenizer) KV {
+func (p *gemmaModel) KV(t *Tokenizer) ggml.KV {
 	kv := p.ModelParameters.KV(t)
 	kv["general.architecture"] = "gemma"
 	kv["gemma.context_length"] = p.MaxPositionEmbeddings

convert/convert_gemma2.go

@@ -1,5 +1,7 @@
 package convert
 
+import "github.com/ollama/ollama/fs/ggml"
+
 type gemma2Model struct {
 	gemmaModel
 	SlidingWindow         uint32  `json:"sliding_window"`
@@ -7,7 +9,7 @@ type gemma2Model struct {
 	FinalLogitSoftcap     float32 `json:"final_logit_softcapping"`
 }
 
-func (p *gemma2Model) KV(t *Tokenizer) KV {
+func (p *gemma2Model) KV(t *Tokenizer) ggml.KV {
 	kv := p.ModelParameters.KV(t)
 	kv["general.architecture"] = "gemma2"
 	kv["gemma2.context_length"] = p.MaxPositionEmbeddings

convert/convert_gemma2_adapter.go

@@ -6,7 +6,6 @@ import (
 	"github.com/pdevine/tensor"
 	"github.com/pdevine/tensor/native"
 
-	"github.com/ollama/ollama/fs"
 	"github.com/ollama/ollama/fs/ggml"
 )
 
@@ -16,7 +15,7 @@ type gemma2Adapter struct {
 
 var _ AdapterConverter = (*gemma2Adapter)(nil)
 
-func (p *gemma2Adapter) KV(baseKV fs.Config) KV {
+func (p *gemma2Adapter) KV(baseKV ggml.KV) ggml.KV {
 	kv := p.AdapterParameters.KV()
 	kv["general.architecture"] = "gemma2"
 	return kv

convert/convert_gemma3.go

@@ -2,7 +2,8 @@ package convert
 
 import (
 	"cmp"
-	"slices"
+
+	"github.com/ollama/ollama/fs/ggml"
 )
 
 type gemma3Model struct {
@@ -32,19 +33,9 @@ type gemma3Model struct {
 	HeadDim                  uint32  `json:"head_dim"`
 	FinalLogitSoftcap        float32 `json:"final_logit_softcapping"`
 	RopeLocalTheta           float32 `json:"rope_local_base_freq"`
-	RopeTheta                float32  `json:"rope_theta"`
+	RopeGlobalTheta          float32 `json:"rope_global_base_freq"`
 	SlidingWindow            uint32  `json:"sliding_window"`
-	SlidingWindowPattern     *uint32  `json:"sliding_window_pattern"`
-	LayerTypes               []string `json:"layer_types"`
 	MultiModalTokensPerImage uint32  `json:"mm_tokens_per_image"`
-	RopeScaling              *struct {
-		Type                          string  `json:"rope_type"`
-		Factor                        float32 `json:"factor"`
-		OriginalMaxPositionEmbeddings uint32  `json:"original_max_position_embeddings"`
-		ExtrapolationFactor           float32 `json:"extrapolation_factor"`
-		BetaFast                      float32 `json:"beta_fast"`
-		BetaSlow                      float32 `json:"beta_slow"`
-	} `json:"rope_scaling"`
 }
 
 const (
@@ -53,7 +44,7 @@ const (
 	gemma27BLayerCount = 62
 )
 
-func (p *gemma3Model) KV(t *Tokenizer) KV {
+func (p *gemma3Model) KV(t *Tokenizer) ggml.KV {
 	kv := p.ModelParameters.KV(t)
 	kv["general.architecture"] = "gemma3"
 
@@ -90,38 +81,9 @@ func (p *gemma3Model) KV(t *Tokenizer) KV {
 		kv["gemma3.attention.key_length"] = p.HeadDim
 		kv["gemma3.attention.value_length"] = p.HeadDim
 		kv["gemma3.attention.sliding_window"] = p.SlidingWindow
-
+		kv["gemma3.final_logit_softcapping"] = cmp.Or(p.FinalLogitSoftcap, 30)
-		// The sliding window pattern is either provided as the sliding_window_pattern
-		// key (an int) or as the layer_types key (a list of strings).
-		if p.SlidingWindowPattern != nil || len(p.LayerTypes) > 0 {
-			kv["gemma3.attention.sliding_window_pattern"] = slices.Collect(func(yield func(bool) bool) {
-				for i := range numBlocks {
-					var isLocal bool
-					if len(p.LayerTypes) > 0 && int(i) < len(p.LayerTypes) {
-						isLocal = p.LayerTypes[i] == "sliding_attention"
-					} else if p.SlidingWindowPattern != nil && *p.SlidingWindowPattern > 0 {
-						isLocal = (i+1)%*p.SlidingWindowPattern != 0
-					}
-					if !yield(isLocal) {
-						break
-					}
-				}
-			})
-		}
-		if p.FinalLogitSoftcap > 0 {
-			kv["gemma3.final_logit_softcapping"] = p.FinalLogitSoftcap
-		}
 		kv["gemma3.rope.local.freq_base"] = cmp.Or(p.RopeLocalTheta, 10000.0)
-		kv["gemma3.rope.freq_base"] = cmp.Or(p.RopeTheta, 1000000.0)
+		kv["gemma3.rope.global.freq_base"] = cmp.Or(p.RopeGlobalTheta, 1000000.0)
-		if p.RopeScaling != nil && p.RopeScaling.Type == "yarn" && p.RopeScaling.Factor > 0 {
-			kv["gemma3.rope.scaling.type"] = "yarn"
-			kv["gemma3.rope.scaling.factor"] = p.RopeScaling.Factor
-			kv["gemma3.rope.scaling.original_context_length"] = p.RopeScaling.OriginalMaxPositionEmbeddings
-			kv["gemma3.rope.scaling.extrapolation_factor"] = cmp.Or(p.RopeScaling.ExtrapolationFactor, float32(1.0))
-			kv["gemma3.rope.scaling.beta_fast"] = cmp.Or(p.RopeScaling.BetaFast, float32(64.0))
-			kv["gemma3.rope.scaling.beta_slow"] = cmp.Or(p.RopeScaling.BetaSlow, float32(1.0))
-		}
-
 		kv["gemma3.embedding_length"] = p.HiddenSize
 		kv["gemma3.feed_forward_length"] = p.IntermediateSize
 	default:

convert/convert_gemma3n.go

@@ -38,7 +38,7 @@ type gemma3nModel struct {
 	VisionModel struct{} `json:"vision_config"`
 }
 
-func (m *gemma3nModel) KV(t *Tokenizer) KV {
+func (m *gemma3nModel) KV(t *Tokenizer) ggml.KV {
 	kv := m.ModelParameters.KV(t)
 	kv["general.architecture"] = "gemma3n"
 	kv["gemma3n.activation_sparsity_scale"] = slices.Collect(func(yield func(float32) bool) {

convert/convert_gptoss.go

@@ -37,7 +37,7 @@ type gptossModel struct {
 
 var _ ModelConverter = (*gptossModel)(nil)
 
-func (m *gptossModel) KV(t *Tokenizer) KV {
+func (m *gptossModel) KV(t *Tokenizer) ggml.KV {
 	kv := m.ModelParameters.KV(t)
 	kv["general.architecture"] = "gptoss"
 	kv["general.file_type"] = uint32(4)
@@ -110,12 +110,9 @@ func (m *gptossModel) Tensors(ts []Tensor) []*ggml.Tensor {
 
 	for name, mxfp4 := range mxfp4s {
 		dims := mxfp4.blocks.Shape()
-		if !strings.HasSuffix(name, ".weight") {
-			name = name + ".weight"
-		}
 		if strings.Contains(name, "ffn_down_exps") {
 			out = append(out, &ggml.Tensor{
-				Name:     name,
+				Name:     name + ".weight",
 				Kind:     uint32(ggml.TensorTypeMXFP4),
 				Shape:    []uint64{dims[0], dims[1], dims[2] * dims[3] * 2},
 				WriterTo: mxfp4,
@@ -124,12 +121,12 @@ func (m *gptossModel) Tensors(ts []Tensor) []*ggml.Tensor {
 			// gate_up_exps is interleaved, need to split into gate_exps and up_exps
 			// e.g. gate_exps, up_exps = gate_up_exps[:, 0::2, ...], gate_up_exps[:, 1::2, ...]
 			out = append(out, &ggml.Tensor{
-				Name:     strings.Replace(name, "gate_up", "gate", 1),
+				Name:     strings.Replace(name, "gate_up", "gate", 1) + ".weight",
 				Kind:     uint32(ggml.TensorTypeMXFP4),
 				Shape:    []uint64{dims[0], dims[1] / 2, dims[2] * dims[3] * 2},
 				WriterTo: mxfp4.slice(1, 0, int(dims[1]), 2),
 			}, &ggml.Tensor{
-				Name:     strings.Replace(name, "gate_up", "up", 1),
+				Name:     strings.Replace(name, "gate_up", "up", 1) + ".weight",
 				Kind:     uint32(ggml.TensorTypeMXFP4),
 				Shape:    []uint64{dims[0], dims[1] / 2, dims[2] * dims[3] * 2},
 				WriterTo: mxfp4.slice(1, 1, int(dims[1]), 2),

convert/convert_llama.go

@@ -48,7 +48,7 @@ type llamaModel struct {
 
 var _ ModelConverter = (*llamaModel)(nil)
 
-func (p *llamaModel) KV(t *Tokenizer) KV {
+func (p *llamaModel) KV(t *Tokenizer) ggml.KV {
 	kv := p.ModelParameters.KV(t)
 	kv["general.architecture"] = "llama"
 	kv["llama.vocab_size"] = p.VocabSize

convert/convert_llama4.go

@@ -35,7 +35,7 @@ type llama4Model struct {
 }
 
 // KV implements ModelConverter.
-func (p *llama4Model) KV(t *Tokenizer) KV {
+func (p *llama4Model) KV(t *Tokenizer) ggml.KV {
 	kv := p.ModelParameters.KV(t)
 	kv["general.architecture"] = "llama4"
 

convert/convert_llama_adapter.go

@@ -7,7 +7,6 @@ import (
 	"github.com/pdevine/tensor"
 	"github.com/pdevine/tensor/native"
 
-	"github.com/ollama/ollama/fs"
 	"github.com/ollama/ollama/fs/ggml"
 )
 
@@ -19,13 +18,13 @@ type llamaAdapter struct {
 
 var _ AdapterConverter = (*llamaAdapter)(nil)
 
-func (p *llamaAdapter) KV(baseKV fs.Config) KV {
+func (p *llamaAdapter) KV(baseKV ggml.KV) ggml.KV {
 	kv := p.AdapterParameters.KV()
 	kv["general.architecture"] = "llama"
-	kv["llama.attention.head_count"] = baseKV.Value("llama.attention.head_count")
+	kv["llama.attention.head_count"] = baseKV["llama.attention.head_count"]
-	kv["llama.attention.head_count_kv"] = baseKV.Value("llama.attention.head_count_kv")
+	kv["llama.attention.head_count_kv"] = baseKV["llama.attention.head_count_kv"]
 
-	p.NumAttentionHeads = baseKV.Value("llama.attention.head_count").(uint32)
+	p.NumAttentionHeads = baseKV["llama.attention.head_count"].(uint32)
 
 	return kv
 }

convert/convert_mistral.go

@@ -29,17 +29,6 @@ type mistral3Model struct {
 		SlidingWindow         *uint32 `json:"sliding_window"`
 		HiddenAct             string  `json:"hidden_act"`
 		VocabSize             uint32  `json:"vocab_size"`
-		RopeParameters        struct {
-			BetaFast                  float32  `json:"beta_fast"`
-			BetaSlow                  float32  `json:"beta_slow"`
-			Factor                    float32  `json:"factor"`
-			Llama4ScalingBeta         *float32 `json:"llama_4_scaling_beta"`
-			OrigMaxPositionEmbeddings uint32   `json:"original_max_position_embeddings"`
-			RopeType                  string   `json:"rope_type"`
-			RopeTheta                 float32  `json:"rope_theta"`
-			Mscale                    *float32 `json:"mscale"`
-			MscaleAllDim              *float32 `json:"mscale_all_dim"`
-		} `json:"rope_parameters"`
 	} `json:"text_config"`
 	VisionModel struct {
 		NumAttentionHeads uint32  `json:"num_attention_heads"`
@@ -52,15 +41,12 @@ type mistral3Model struct {
 		HeadDim           uint32  `json:"head_dim"`
 		HiddenAct         string  `json:"hidden_act"`
 		RopeTheta         float32 `json:"rope_theta"`
-		RopeParameters    struct {
-			RopeTheta float32 `json:"rope_theta"`
-		} `json:"rope_parameters"`
 	} `json:"vision_config"`
 	MultiModalProjectorBias bool   `json:"multimodal_projector_bias"`
 	ProjectorHiddenAct      string `json:"projector_hidden_act"`
 }
 
-func (p *mistral3Model) KV(t *Tokenizer) KV {
+func (p *mistral3Model) KV(t *Tokenizer) ggml.KV {
 	kv := p.ModelParameters.KV(t)
 	kv["general.architecture"] = "mistral3"
 	kv["mistral3.vocab_size"] = p.TextModel.VocabSize
@@ -75,25 +61,8 @@ func (p *mistral3Model) KV(t *Tokenizer) KV {
 	kv["mistral3.attention.layer_norm_rms_epsilon"] = p.TextModel.RMSNormEPS
 	kv["mistral3.attention.key_length"] = p.TextModel.HeadDim
 	kv["mistral3.attention.value_length"] = p.TextModel.HeadDim
-	kv["mistral3.rope.dimension_count"] = cmp.Or(p.TextModel.HeadDim, p.TextModel.HiddenSize/p.TextModel.NumAttentionHeads)
+	kv["mistral3.rope.dimension_count"] = p.TextModel.HiddenSize / p.TextModel.NumHiddenLayers
-	kv["mistral3.rope.freq_base"] = cmp.Or(p.TextModel.RopeTheta, p.TextModel.RopeParameters.RopeTheta)
+	kv["mistral3.rope.freq_base"] = p.TextModel.RopeTheta
-	kv["mistral3.rope.scaling.factor"] = p.TextModel.RopeParameters.Factor
-	kv["mistral3.rope.scaling.type"] = p.TextModel.RopeParameters.RopeType
-	kv["mistral3.rope.scaling.beta_fast"] = p.TextModel.RopeParameters.BetaFast
-	kv["mistral3.rope.scaling.beta_slow"] = p.TextModel.RopeParameters.BetaSlow
-
-	if p.TextModel.RopeParameters.Mscale != nil {
-		kv["mistral3.rope.scaling.mscale"] = *p.TextModel.RopeParameters.Mscale
-	}
-	if p.TextModel.RopeParameters.MscaleAllDim != nil {
-		kv["mistral3.rope.scaling.mscale_all_dim"] = *p.TextModel.RopeParameters.MscaleAllDim
-	}
-	if p.TextModel.RopeParameters.OrigMaxPositionEmbeddings > 0 {
-		kv["mistral3.rope.scaling.original_context_length"] = p.TextModel.RopeParameters.OrigMaxPositionEmbeddings
-	}
-	if p.TextModel.RopeParameters.Llama4ScalingBeta != nil {
-		kv["mistral3.rope.scaling_beta"] = *p.TextModel.RopeParameters.Llama4ScalingBeta
-	}
 
 	// Vision configuration
 	kv["mistral3.vision.block_count"] = p.VisionModel.NumHiddenLayers
@@ -105,7 +74,7 @@ func (p *mistral3Model) KV(t *Tokenizer) KV {
 	kv["mistral3.vision.patch_size"] = p.VisionModel.PatchSize
 	kv["mistral3.vision.num_channels"] = p.VisionModel.NumChannels
 	// kv["mistral3.vision.attention.layer_norm_epsilon"] = 1e-05 // Default value
-	kv["mistral3.vision.rope.freq_base"] = cmp.Or(p.VisionModel.RopeTheta, p.VisionModel.RopeParameters.RopeTheta)
+	kv["mistral3.vision.rope.freq_base"] = p.VisionModel.RopeTheta
 
 	// Multimodal configuration
 	kv["mistral3.image_token_index"] = p.ImageTokenIndex

convert/convert_mistral_causal.go

@@ -1,181 +0,0 @@
-package convert
-
-import (
-	"cmp"
-	"fmt"
-	"strings"
-
-	"github.com/pdevine/tensor"
-	"github.com/pdevine/tensor/native"
-
-	"github.com/ollama/ollama/fs/ggml"
-)
-
-type mistral3CausalModel struct {
-	ModelParameters
-
-	NumHiddenLayers       uint32  `json:"num_hidden_layers"`
-	MaxPositionEmbeddings uint32  `json:"max_position_embeddings"`
-	HiddenSize            uint32  `json:"hidden_size"`
-	IntermediateSize      uint32  `json:"intermediate_size"`
-	NumAttentionHeads     uint32  `json:"num_attention_heads"`
-	NumKeyValueHeads      uint32  `json:"num_key_value_heads"`
-	RopeTheta             float32 `json:"rope_theta"`
-	RMSNormEPS            float32 `json:"rms_norm_eps"`
-	HeadDim               uint32  `json:"head_dim"`
-	SlidingWindow         *uint32 `json:"sliding_window"`
-	HiddenAct             string  `json:"hidden_act"`
-	VocabSize             uint32  `json:"vocab_size"`
-	RopeParameters        struct {
-		BetaFast                  float32  `json:"beta_fast"`
-		BetaSlow                  float32  `json:"beta_slow"`
-		Factor                    float32  `json:"factor"`
-		Llama4ScalingBeta         *float32 `json:"llama_4_scaling_beta"`
-		OrigMaxPositionEmbeddings uint32   `json:"original_max_position_embeddings"`
-		RopeType                  string   `json:"rope_type"`
-		RopeTheta                 float32  `json:"rope_theta"`
-		Mscale                    *float32 `json:"mscale"`
-		MscaleAllDim              *float32 `json:"mscale_all_dim"`
-	} `json:"rope_parameters"`
-}
-
-func (p *mistral3CausalModel) KV(t *Tokenizer) KV {
-	kv := p.ModelParameters.KV(t)
-	kv["general.architecture"] = "mistral3"
-	kv["mistral3.vocab_size"] = p.VocabSize
-
-	// Text configuration
-	kv["mistral3.block_count"] = p.NumHiddenLayers
-	kv["mistral3.context_length"] = p.MaxPositionEmbeddings
-	kv["mistral3.embedding_length"] = p.HiddenSize
-	kv["mistral3.feed_forward_length"] = p.IntermediateSize
-	kv["mistral3.attention.head_count"] = p.NumAttentionHeads
-	kv["mistral3.attention.head_count_kv"] = p.NumKeyValueHeads
-	kv["mistral3.attention.layer_norm_rms_epsilon"] = p.RMSNormEPS
-	kv["mistral3.attention.key_length"] = p.HeadDim
-	kv["mistral3.attention.value_length"] = p.HeadDim
-	kv["mistral3.rope.dimension_count"] = cmp.Or(p.HeadDim, p.HiddenSize/p.NumAttentionHeads)
-	kv["mistral3.rope.freq_base"] = cmp.Or(p.RopeTheta, p.RopeParameters.RopeTheta)
-	kv["mistral3.rope.scaling.factor"] = p.RopeParameters.Factor
-	kv["mistral3.rope.scaling.type"] = p.RopeParameters.RopeType
-	kv["mistral3.rope.scaling.beta_fast"] = p.RopeParameters.BetaFast
-	kv["mistral3.rope.scaling.beta_slow"] = p.RopeParameters.BetaSlow
-
-	if p.RopeParameters.Mscale != nil {
-		kv["mistral3.rope.scaling.mscale"] = *p.RopeParameters.Mscale
-	}
-
-	if p.RopeParameters.MscaleAllDim != nil {
-		kv["mistral3.rope.scaling.mscale_all_dim"] = *p.RopeParameters.MscaleAllDim
-	}
-
-	if p.RopeParameters.OrigMaxPositionEmbeddings > 0 {
-		kv["mistral3.rope.scaling.original_context_length"] = p.RopeParameters.OrigMaxPositionEmbeddings
-		kv["mistral3.rope.scaling_beta"] = *p.RopeParameters.Llama4ScalingBeta
-	}
-
-	if p.RopeParameters.Llama4ScalingBeta != nil {
-		kv["mistral3.rope.scaling_beta"] = *p.RopeParameters.Llama4ScalingBeta
-	}
-
-	return kv
-}
-
-func (p *mistral3CausalModel) Tensors(ts []Tensor) []*ggml.Tensor {
-	var out []*ggml.Tensor
-
-	for _, t := range ts {
-		if !strings.HasPrefix(t.Name(), "v.") {
-			if strings.HasSuffix(t.Name(), ".attn_q.weight") ||
-				strings.HasSuffix(t.Name(), ".attn_k.weight") {
-				t.SetRepacker(p.repack)
-			}
-		}
-
-		out = append(out, &ggml.Tensor{
-			Name:     t.Name(),
-			Kind:     t.Kind(),
-			Shape:    t.Shape(),
-			WriterTo: t,
-		})
-	}
-
-	return out
-}
-
-func (p *mistral3CausalModel) Replacements() []string {
-	return []string{
-		"model.norm", "output_norm",
-		"model.", "",
-		"layers", "blk",
-		"transformer.layers", "blk",
-		"vision_tower", "v",
-		"ln_pre", "encoder_norm",
-		"input_layernorm", "attn_norm",
-		"post_attention_layernorm", "ffn_norm",
-		"embed_tokens", "token_embd",
-		"self_attn.q_proj", "attn_q",
-		"self_attn.k_proj", "attn_k",
-		"self_attn.v_proj", "attn_v",
-		"self_attn.o_proj", "attn_output",
-		"mlp.down_proj", "ffn_down",
-		"mlp.gate_proj", "ffn_gate",
-		"mlp.up_proj", "ffn_up",
-		"attention.q_proj", "attn_q",
-		"attention.k_proj", "attn_k",
-		"attention.v_proj", "attn_v",
-		"attention.o_proj", "attn_output",
-		"attention_norm", "attn_norm",
-		"feed_forward.gate_proj", "ffn_gate",
-		"feed_forward.down_proj", "ffn_down",
-		"feed_forward.up_proj", "ffn_up",
-		"multi_modal_projector", "mm",
-		"ffn_norm", "ffn_norm",
-		"lm_head", "output",
-	}
-}
-
-func (p *mistral3CausalModel) repack(name string, data []float32, shape []uint64) ([]float32, error) {
-	var dims []int
-	for _, dim := range shape {
-		dims = append(dims, int(dim))
-	}
-
-	var heads uint32
-	if strings.HasSuffix(name, ".attn_q.weight") {
-		heads = p.NumAttentionHeads
-	} else if strings.HasSuffix(name, ".attn_k.weight") {
-		heads = cmp.Or(p.NumKeyValueHeads, p.NumAttentionHeads)
-	} else {
-		return nil, fmt.Errorf("unknown tensor for repack: %s", name)
-	}
-
-	n := tensor.New(tensor.WithShape(dims...), tensor.WithBacking(data))
-	if err := n.Reshape(append([]int{int(heads), 2, dims[0] / int(heads) / 2}, dims[1:]...)...); err != nil {
-		return nil, err
-	}
-
-	if err := n.T(0, 2, 1, 3); err != nil {
-		return nil, err
-	}
-
-	if err := n.Reshape(dims...); err != nil {
-		return nil, err
-	}
-
-	if err := n.Transpose(); err != nil {
-		return nil, err
-	}
-
-	ts, err := native.SelectF32(n, 1)
-	if err != nil {
-		return nil, err
-	}
-
-	var f32s []float32
-	for _, t := range ts {
-		f32s = append(f32s, t...)
-	}
-
-	return f32s, nil
-}

convert/convert_mixtral.go

@@ -12,7 +12,7 @@ type mixtralModel struct {
 	NumExpertsPerToken uint32 `json:"num_experts_per_tok"`
 }
 
-func (p *mixtralModel) KV(t *Tokenizer) KV {
+func (p *mixtralModel) KV(t *Tokenizer) ggml.KV {
 	kv := p.llamaModel.KV(t)
 
 	if p.NumLocalExperts > 0 {

convert/convert_mllama.go

@@ -34,7 +34,7 @@ type mllamaModel struct {
 	} `json:"vision_config"`
 }
 
-func (m *mllamaModel) KV(t *Tokenizer) KV {
+func (m *mllamaModel) KV(t *Tokenizer) ggml.KV {
 	kv := m.ModelParameters.KV(t)
 	kv["general.architecture"] = "mllama"
 

convert/convert_nomicbert.go

@@ -1,213 +0,0 @@
-package convert
-
-import (
-	"cmp"
-	"encoding/json"
-	"io/fs"
-	"path/filepath"
-	"slices"
-	"strings"
-
-	"github.com/ollama/ollama/fs/ggml"
-)
-
-type nomicbertModel struct {
-	ModelParameters
-	NLayers               uint32  `json:"n_layers"`
-	NumHiddenLayers       uint32  `json:"num_hidden_layers"`
-	MaxPositionEmbeddings uint32  `json:"max_position_embeddings"`
-	HiddenSize            uint32  `json:"hidden_size"`
-	IntermediateSize      uint32  `json:"intermediate_size"`
-	NumAttentionHeads     uint32  `json:"num_attention_heads"`
-	NumKeyValueHeads      uint32  `json:"num_key_value_heads"`
-	LayerNormEPS          float32 `json:"layer_norm_eps"`
-	LayerNormEpsilon      float32 `json:"layer_norm_epsilon"`
-	RopeFreqBase          float32 `json:"rope_theta"`
-	normalizeEmbeddings   bool
-	PoolingType           uint32
-
-	// MoE parameters (only present in v2 models)
-	NumExperts      uint32 `json:"num_local_experts"`
-	NumExpertsUsed  uint32 `json:"num_experts_per_tok"`
-	MoEEveryNLayers uint32 `json:"moe_every_n_layers"`
-}
-
-var (
-	_ ModelConverter = (*nomicbertModel)(nil)
-	_ moreParser     = (*nomicbertModel)(nil)
-)
-
-func (p *nomicbertModel) parseMore(fsys fs.FS) error {
-	bts, err := fs.ReadFile(fsys, "modules.json")
-	if err != nil {
-		return err
-	}
-
-	var modules []struct {
-		Type string `json:"type"`
-		Path string `json:"path"`
-	}
-
-	if err := json.Unmarshal(bts, &modules); err != nil {
-		return err
-	}
-
-	var pooling string
-	for _, m := range modules {
-		switch m.Type {
-		case "sentence_transformers.models.Pooling":
-			pooling = m.Path
-		case "sentence_transformers.models.Normalize":
-			p.normalizeEmbeddings = true
-		}
-	}
-
-	if pooling != "" {
-		bts, err := fs.ReadFile(fsys, filepath.Join(pooling, "config.json"))
-		if err != nil {
-			return err
-		}
-
-		var pc struct {
-			PoolingModeCLSToken   bool `json:"pooling_mode_cls_token"`
-			PoolingModeMeanTokens bool `json:"pooling_mode_mean_tokens"`
-		}
-
-		if err := json.Unmarshal(bts, &pc); err != nil {
-			return err
-		}
-
-		if pc.PoolingModeMeanTokens {
-			p.PoolingType = 1
-		} else if pc.PoolingModeCLSToken {
-			p.PoolingType = 2
-		}
-	}
-
-	return nil
-}
-
-func (p *nomicbertModel) KV(t *Tokenizer) KV {
-	kv := p.ModelParameters.KV(t)
-
-	// Determine architecture based on MoE parameters (following qwen3 pattern)
-	arch := "nomic-bert"
-	if p.MoEEveryNLayers > 0 {
-		arch += "-moe"
-	}
-
-	kv["general.architecture"] = arch
-	kv["attention.causal"] = false
-	kv["pooling_type"] = p.PoolingType
-	kv["normalize_embeddings"] = p.normalizeEmbeddings
-
-	kv["block_count"] = cmp.Or(p.NLayers, p.NumHiddenLayers)
-
-	if contextLength := p.MaxPositionEmbeddings; contextLength > 0 {
-		kv["context_length"] = contextLength
-	}
-
-	if embeddingLength := p.HiddenSize; embeddingLength > 0 {
-		kv["embedding_length"] = p.HiddenSize
-	}
-
-	if feedForwardLength := p.IntermediateSize; feedForwardLength > 0 {
-		kv["feed_forward_length"] = p.IntermediateSize
-	}
-
-	if headCount := p.NumAttentionHeads; headCount > 0 {
-		kv["attention.head_count"] = p.NumAttentionHeads
-	}
-
-	if kvHeadCount := p.NumKeyValueHeads; kvHeadCount > 0 {
-		kv["attention.head_count_kv"] = p.NumKeyValueHeads
-	}
-
-	if layerNormEpsilon := cmp.Or(p.LayerNormEPS, p.LayerNormEpsilon); layerNormEpsilon > 0 {
-		kv["attention.layer_norm_epsilon"] = layerNormEpsilon
-	}
-
-	if p.RopeFreqBase > 0 {
-		kv["rope.freq_base"] = p.RopeFreqBase
-	}
-
-	// MoE specific parameters (only if MoE is enabled)
-	if p.NumExperts > 0 {
-		kv["expert_count"] = p.NumExperts
-	}
-
-	if p.NumExpertsUsed > 0 {
-		kv["expert_used_count"] = p.NumExpertsUsed
-	}
-
-	if p.MoEEveryNLayers > 0 {
-		kv["moe_every_n_layers"] = p.MoEEveryNLayers
-	}
-
-	kv["tokenizer.ggml.model"] = "bert"
-	kv["tokenizer.ggml.token_type_count"] = uint32(2)
-
-	// convert to phantom space tokens
-	for i, e := range t.Tokens {
-		switch {
-		case strings.HasPrefix(e, "[") && strings.HasSuffix(e, "]"):
-			// noop - keep special tokens as-is
-		case strings.HasPrefix(e, "##"):
-			t.Tokens[i] = e[2:]
-		default:
-			t.Tokens[i] = "\u2581" + e
-		}
-	}
-
-	kv["tokenizer.ggml.tokens"] = t.Tokens
-
-	return kv
-}
-
-func (p *nomicbertModel) Tensors(ts []Tensor) []*ggml.Tensor {
-	out := make([]*ggml.Tensor, 0, len(ts))
-	for _, t := range ts {
-		if slices.Contains([]string{
-			"embeddings.position_ids",
-			"pooler.dense.weight",
-			"pooler.dense.bias",
-		}, t.Name()) {
-			continue
-		}
-
-		out = append(out, &ggml.Tensor{
-			Name:     t.Name(),
-			Kind:     t.Kind(),
-			Shape:    t.Shape(),
-			WriterTo: t,
-		})
-	}
-
-	return out
-}
-
-func (nomicbertModel) Replacements() []string {
-	return []string{
-		"encoder.layer", "blk",
-		"encoder.layers", "blk",
-		"embeddings.word_embeddings", "token_embd",
-		"embeddings.token_type_embeddings", "token_types",
-		"embeddings.LayerNorm", "token_embd_norm",
-
-		"attention.self.qkv", "attn_qkv",
-
-		"attention.output.dense", "attn_output",
-		"attention.output.LayerNorm", "attn_output_norm",
-
-		"mlp.up", "ffn_up",
-		"mlp.down", "ffn_down",
-
-		"mlp.router", "ffn_gate_inp",
-		"mlp.experts.up", "ffn_up_exps",
-		"mlp.experts.down", "ffn_down_exps",
-
-		"intermediate.dense", "ffn_up",
-		"output.dense", "ffn_down",
-		"output.LayerNorm", "layer_output_norm",
-	}
-}

convert/convert_olmo.go

@@ -1,117 +0,0 @@
-package convert
-
-import (
-	"cmp"
-
-	"github.com/ollama/ollama/fs/ggml"
-)
-
-type ropeScaling struct {
-	Factor                    float32 `json:"factor"`
-	OriginalMaxPositionEmbeds uint32  `json:"original_max_position_embeddings"`
-	AttentionFactor           float32 `json:"attention_factor"`
-	BetaFast                  float32 `json:"beta_fast"`
-	BetaSlow                  float32 `json:"beta_slow"`
-	RopeType                  string  `json:"rope_type"`
-	ExtrapolationFactor       float32 `json:"extrapolation_factor"`
-}
-
-type olmoModel struct {
-	ModelParameters
-
-	HiddenSize            uint32       `json:"hidden_size"`
-	NumHiddenLayers       uint32       `json:"num_hidden_layers"`
-	IntermediateSize      uint32       `json:"intermediate_size"`
-	NumAttentionHeads     uint32       `json:"num_attention_heads"`
-	NumKeyValueHeads      uint32       `json:"num_key_value_heads"`
-	MaxPositionEmbeddings uint32       `json:"max_position_embeddings"`
-	RMSNormEPS            float32      `json:"rms_norm_eps"`
-	RopeTheta             float32      `json:"rope_theta"`
-	RopeScaling           *ropeScaling `json:"rope_scaling"`
-	SlidingWindow         uint32       `json:"sliding_window"`
-	LayerTypes            []string     `json:"layer_types"`
-}
-
-var _ ModelConverter = (*olmoModel)(nil)
-
-func (p *olmoModel) KV(t *Tokenizer) KV {
-	kv := p.ModelParameters.KV(t)
-	kv["general.architecture"] = "olmo3"
-	kv["olmo3.block_count"] = p.NumHiddenLayers
-	kv["olmo3.context_length"] = p.MaxPositionEmbeddings
-	kv["olmo3.embedding_length"] = p.HiddenSize
-	kv["olmo3.feed_forward_length"] = p.IntermediateSize
-	kv["olmo3.attention.head_count"] = p.NumAttentionHeads
-	kv["olmo3.attention.head_count_kv"] = cmp.Or(p.NumKeyValueHeads, p.NumAttentionHeads)
-
-	if p.RopeTheta > 0 {
-		kv["olmo3.rope.freq_base"] = p.RopeTheta
-	}
-
-	if p.RopeScaling != nil {
-		if p.RopeScaling.Factor > 0 {
-			kv["olmo3.rope.scaling.factor"] = p.RopeScaling.Factor
-		}
-		if p.RopeScaling.OriginalMaxPositionEmbeds > 0 {
-			kv["olmo3.rope.scaling.original_context_length"] = p.RopeScaling.OriginalMaxPositionEmbeds
-		}
-		if p.RopeScaling.AttentionFactor > 0 {
-			kv["olmo3.rope.scaling.attn_factor"] = p.RopeScaling.AttentionFactor
-		}
-		if p.RopeScaling.RopeType != "" {
-			kv["olmo3.rope.scaling.type"] = p.RopeScaling.RopeType
-		}
-	}
-
-	if p.RMSNormEPS > 0 {
-		kv["olmo3.attention.layer_norm_rms_epsilon"] = p.RMSNormEPS
-	}
-
-	if p.SlidingWindow > 0 {
-		kv["olmo3.attention.sliding_window"] = p.SlidingWindow
-	}
-
-	if len(p.LayerTypes) > 0 {
-		slidingPattern := make([]bool, len(p.LayerTypes))
-		for i, layerType := range p.LayerTypes {
-			slidingPattern[i] = (layerType == "sliding_attention")
-		}
-		kv["olmo3.attention.sliding_window_pattern"] = slidingPattern
-	}
-
-	return kv
-}
-
-func (p *olmoModel) Tensors(ts []Tensor) []*ggml.Tensor {
-	out := make([]*ggml.Tensor, 0, len(ts))
-	for _, t := range ts {
-		out = append(out, &ggml.Tensor{
-			Name:     t.Name(),
-			Kind:     t.Kind(),
-			Shape:    t.Shape(),
-			WriterTo: t,
-		})
-	}
-
-	return out
-}
-
-func (p *olmoModel) Replacements() []string {
-	return []string{
-		"lm_head", "output",
-		"model.embed_tokens", "token_embd",
-		"model.layers", "blk",
-		"model.norm", "output_norm",
-		"self_attn.q_proj", "attn_q",
-		"self_attn.k_proj", "attn_k",
-		"self_attn.v_proj", "attn_v",
-		"self_attn.o_proj", "attn_output",
-		"self_attn.q_norm", "attn_q_norm",
-		"self_attn.k_norm", "attn_k_norm",
-		"post_attention_layernorm", "post_attention_norm",
-		"post_feedforward_layernorm", "post_ffw_norm",
-		"mlp.gate_proj", "ffn_gate",
-		"mlp.down_proj", "ffn_down",
-		"mlp.up_proj", "ffn_up",
-	}
-}

convert/convert_phi3.go

@@ -37,7 +37,7 @@ type phi3Model struct {
 
 var _ ModelConverter = (*phi3Model)(nil)
 
-func (p *phi3Model) KV(t *Tokenizer) KV {
+func (p *phi3Model) KV(t *Tokenizer) ggml.KV {
 	kv := p.ModelParameters.KV(t)
 	kv["general.architecture"] = "phi3"
 	kv["phi3.context_length"] = p.MaxPositionEmbeddings

convert/convert_qwen2.go

@@ -22,7 +22,7 @@ type qwen2Model struct {
 
 var _ ModelConverter = (*qwen2Model)(nil)
 
-func (q *qwen2Model) KV(t *Tokenizer) KV {
+func (q *qwen2Model) KV(t *Tokenizer) ggml.KV {
 	kv := q.ModelParameters.KV(t)
 	kv["general.architecture"] = "qwen2"
 	kv["qwen2.block_count"] = q.HiddenLayers

convert/convert_qwen25vl.go

@@ -29,7 +29,7 @@ type qwen25VLModel struct {
 
 var _ ModelConverter = (*qwen25VLModel)(nil)
 
-func (q *qwen25VLModel) KV(t *Tokenizer) KV {
+func (q *qwen25VLModel) KV(t *Tokenizer) ggml.KV {
 	kv := q.ModelParameters.KV(t)
 	kv["general.architecture"] = "qwen25vl"
 

convert/convert_qwen3.go

@@ -32,7 +32,7 @@ type qwen3Model struct {
 }
 
 // KV implements ModelConverter.
-func (q *qwen3Model) KV(t *Tokenizer) KV {
+func (q *qwen3Model) KV(t *Tokenizer) ggml.KV {
 	arch := "qwen3"
 	if q.NumExperts > 0 {
 		arch += "moe"

convert/convert_qwen3vl.go

@@ -45,7 +45,7 @@ func (m *qwen3VLModel) parseMore(fsys fs.FS) error {
 	return json.Unmarshal(bts, &m.VisionModel)
 }
 
-func (m *qwen3VLModel) KV(t *Tokenizer) KV {
+func (m *qwen3VLModel) KV(t *Tokenizer) ggml.KV {
 	kv := m.qwen3Model.KV(t)
 
 	arch := "qwen3vl"

convert/convert_test.go

@@ -19,7 +19,6 @@ import (
 	"testing"
 
 	"github.com/google/go-cmp/cmp"
-	fsc "github.com/ollama/ollama/fs"
 	"github.com/ollama/ollama/fs/ggml"
 )
 
@@ -29,7 +28,7 @@ type tensorData struct {
 	Shape   []int  `json:"shape"`
 }
 
-func convertFull(t *testing.T, fsys fs.FS) (*os.File, fsc.Config, ggml.Tensors) {
+func convertFull(t *testing.T, fsys fs.FS) (*os.File, ggml.KV, ggml.Tensors) {
 	t.Helper()
 
 	f, err := os.CreateTemp(t.TempDir(), "f16")
@@ -60,10 +59,9 @@ func convertFull(t *testing.T, fsys fs.FS) (*os.File, fsc.Config, ggml.Tensors)
 	return r, m.KV(), m.Tensors()
 }
 
-func generateResultsJSON(t *testing.T, f *os.File, kv fsc.Config, tensors ggml.Tensors) map[string]string {
+func generateResultsJSON(t *testing.T, f *os.File, kv ggml.KV, tensors ggml.Tensors) map[string]string {
 	actual := make(map[string]string)
-	for k := range kv.Keys() {
+	for k, v := range kv {
-		v := kv.Value(k)
 		if s, ok := v.(json.Marshaler); !ok {
 			actual[k] = fmt.Sprintf("%v", v)
 		} else {
@@ -279,7 +277,7 @@ func generateSafetensorTestData(t *testing.T, tempDir string, tensorData map[str
 func TestConvertAdapter(t *testing.T) {
 	type AdapterCase struct {
 		Name     string
-		BaseKV   KV
+		BaseKV   map[string]any
 		Expected map[string]string
 	}
 

convert/reader.go

@@ -44,10 +44,7 @@ func (t tensorBase) Kind() uint32 {
 		t.name == "v.positional_embedding_vlm" ||
 		t.name == "v.tile_position_embd.weight" ||
 		t.name == "v.pre_tile_position_embd.weight" ||
-		t.name == "v.post_tile_position_embd.weight" ||
+		t.name == "v.post_tile_position_embd.weight" {
-		t.name == "s.position_embd" ||
-		strings.HasSuffix(t.name, "rel_pos_h") ||
-		strings.HasSuffix(t.name, "rel_pos_w") {
 		// these tensors are always F32
 		return tensorKindFP32
 	}

convert/reader_safetensors.go

@@ -96,10 +96,7 @@ type safetensor struct {
 
 func (st safetensor) Kind() uint32 {
 	kind := st.tensorBase.Kind()
-	if st.dtype == "BF16" &&
+	if !strings.HasPrefix(st.name, "v.") && st.dtype == "BF16" && kind != tensorKindFP32 {
-		!strings.HasPrefix(st.name, "v.") &&
-		!strings.HasPrefix(st.name, "s.") &&
-		kind != tensorKindFP32 {
 		kind = tensorKindBF16
 	}
 

convert/tensor.go

@@ -2,12 +2,10 @@ package convert
 
 import (
 	"cmp"
-	"errors"
 	"io"
 	"iter"
 	"path"
 	"slices"
-	"strconv"
 	"strings"
 
 	"github.com/pdevine/tensor"
@@ -96,26 +94,6 @@ func mergeTensors(unmatched []Tensor, merges ...merge) (out []*ggml.Tensor, _ []
 			return matched
 		})
 
-		slices.SortStableFunc(matched, func(a, b Tensor) int {
-			x := strings.Split(a.Name(), ".")
-			y := strings.Split(b.Name(), ".")
-			if len(x) != len(y) {
-				return cmp.Compare(len(x), len(y))
-			}
-
-			vals := make([]int, len(x))
-			for i := range x {
-				vals[i] = strings.Compare(x[i], y[i])
-				m, err := strconv.ParseInt(x[i], 0, 0)
-				n, err2 := strconv.ParseInt(y[i], 0, 0)
-				if errors.Join(err, err2) == nil {
-					vals[i] = cmp.Compare(m, n)
-				}
-			}
-
-			return cmp.Or(vals...)
-		})
-
 		if len(matched) > 0 {
 			out = append(out, &ggml.Tensor{
 				Name:     merges[i].name,

convert/tensor_test.go

@@ -3,10 +3,8 @@ package convert
 import (
 	"bytes"
 	"encoding/binary"
-	"fmt"
 	"io"
 	"iter"
-	"math/rand/v2"
 	"slices"
 	"strings"
 	"testing"
@@ -953,45 +951,3 @@ func TestMerge(t *testing.T) {
 		}
 	})
 }
-
-func TestMergeOrder(t *testing.T) {
-	for range 8 {
-		t.Run("", func(t *testing.T) {
-			tensors := make([]Tensor, 16)
-			for i := range tensors {
-				tensors[i] = &fakeTensor{
-					name:  fmt.Sprintf("layer.%d.weight", i),
-					shape: []uint64{1},
-					data:  []float32{float32(i)},
-				}
-			}
-
-			rand.Shuffle(len(tensors), func(i, j int) {
-				tensors[i], tensors[j] = tensors[j], tensors[i]
-			})
-
-			matched, unmatched := mergeTensors(tensors, merge{"layer.*.weight", "layer.weight"})
-			if len(unmatched) != 0 {
-				t.Error("expected no remaining tensors, got", len(unmatched))
-			}
-
-			if len(matched) != 1 {
-				t.Error("expected 1 merged tensor, got", len(matched))
-			}
-
-			var b bytes.Buffer
-			if _, err := matched[0].WriteTo(&b); err != nil {
-				t.Fatal(err)
-			}
-
-			var f32s [16]float32
-			if err := binary.Read(&b, binary.LittleEndian, &f32s); err != nil {
-				t.Fatal(err)
-			}
-
-			if !slices.IsSorted(f32s[:]) {
-				t.Errorf("merged tensor data is not in order: %+v", f32s)
-			}
-		})
-	}
-}

convert/tokenizer_spm.go

@@ -49,8 +49,7 @@ func parseSentencePiece(fsys fs.FS) (*Vocabulary, error) {
 			tt := int32(sentencepiece.ModelProto_SentencePiece_NORMAL)
 
 			// temporary fix to handle gemma3 broken configs
-			// TODO(parthsareen): allow reading of tokenizer.json to allow managing special tokens when using spm
+			if slices.Contains([]string{"<end_of_turn>", "<start_of_turn>"}, piece.GetPiece()) {
-			if slices.Contains([]string{"<end_of_turn>", "<start_of_turn>", "<start_function_declaration>", "<end_function_declaration>", "<start_function_call>", "<end_function_call>", "<start_function_response>", "<end_function_response>", "<escape>"}, piece.GetPiece()) {
 				tt = int32(sentencepiece.ModelProto_SentencePiece_CONTROL)
 			}
 

discover/cpu_linux.go

@@ -2,7 +2,6 @@ package discover
 
 import (
 	"bufio"
-	"errors"
 	"fmt"
 	"io"
 	"log/slog"
@@ -11,21 +10,12 @@ import (
 	"reflect"
 	"regexp"
 	"sort"
-	"strconv"
 	"strings"
 
 	"github.com/ollama/ollama/format"
 )
 
 func GetCPUMem() (memInfo, error) {
-	mem, err := getCPUMem()
-	if err != nil {
-		return memInfo{}, err
-	}
-	return getCPUMemByCgroups(mem), nil
-}
-
-func getCPUMem() (memInfo, error) {
 	var mem memInfo
 	var total, available, free, buffers, cached, freeSwap uint64
 	f, err := os.Open("/proc/meminfo")
@@ -66,32 +56,6 @@ func getCPUMem() (memInfo, error) {
 	return mem, nil
 }
 
-func getCPUMemByCgroups(mem memInfo) memInfo {
-	total, err := getUint64ValueFromFile("/sys/fs/cgroup/memory.max")
-	if err == nil {
-		mem.TotalMemory = total
-	}
-	used, err := getUint64ValueFromFile("/sys/fs/cgroup/memory.current")
-	if err == nil {
-		mem.FreeMemory = mem.TotalMemory - used
-	}
-	return mem
-}
-
-func getUint64ValueFromFile(path string) (uint64, error) {
-	f, err := os.Open(path)
-	if err != nil {
-		return 0, err
-	}
-	defer f.Close()
-	s := bufio.NewScanner(f)
-	for s.Scan() {
-		line := s.Text()
-		return strconv.ParseUint(line, 10, 64)
-	}
-	return 0, errors.New("empty file content")
-}
-
 const CpuInfoFilename = "/proc/cpuinfo"
 
 type linuxCpuInfo struct {
@@ -110,41 +74,7 @@ func GetCPUDetails() []CPU {
 		return nil
 	}
 	defer file.Close()
-	cpus := linuxCPUDetails(file)
+	return linuxCPUDetails(file)
-	return overwriteThreadCountByLinuxCgroups(cpus)
-}
-
-func overwriteThreadCountByLinuxCgroups(cpus []CPU) []CPU {
-	file, err := os.Open("/sys/fs/cgroup/cpu.max")
-	if err != nil {
-		return cpus
-	}
-	defer file.Close()
-
-	scanner := bufio.NewScanner(file)
-	for scanner.Scan() {
-		line := scanner.Text()
-		if sl := strings.Split(line, " "); len(sl) == 2 {
-			allowdUs, err := strconv.ParseInt(sl[0], 10, 64)
-			if err != nil {
-				slog.Warn("failed to parse CPU allowed micro secs", "error", err)
-				return cpus
-			}
-			unitUs, err := strconv.ParseInt(sl[1], 10, 64)
-			if err != nil {
-				slog.Warn("failed to parse CPU unit micro secs", "error", err)
-				return cpus
-			}
-
-			threads := int(max(allowdUs/unitUs, 1))
-
-			cpu := cpus[0]
-			cpu.CoreCount = threads
-			cpu.ThreadCount = threads
-			return []CPU{cpu}
-		}
-	}
-	return cpus
 }
 
 func linuxCPUDetails(file io.Reader) []CPU {

discover/runner.go

@@ -65,11 +65,6 @@ func GPUDevices(ctx context.Context, runners []ml.FilteredRunnerDiscovery) []ml.
 		}
 
 		slog.Info("discovering available GPUs...")
-		detectIncompatibleLibraries()
-
-		// Warn if any user-overrides are set which could lead to incorrect GPU discovery
-		overrideWarnings()
-
 		requested := envconfig.LLMLibrary()
 		jetpack := cudaJetpack()
 
@@ -95,16 +90,10 @@ func GPUDevices(ctx context.Context, runners []ml.FilteredRunnerDiscovery) []ml.
 			var dirs []string
 			if dir != "" {
 				if requested != "" && filepath.Base(dir) != requested {
-					slog.Debug("skipping available library at user's request", "requested", requested, "libDir", dir)
+					slog.Debug("skipping available library at users request", "requested", requested, "libDir", dir)
 					continue
 				} else if jetpack != "" && filepath.Base(dir) != "cuda_"+jetpack {
 					continue
-				} else if jetpack == "" && strings.Contains(filepath.Base(dir), "cuda_jetpack") {
-					slog.Debug("jetpack not detected (set JETSON_JETPACK or OLLAMA_LLM_LIBRARY to override), skipping", "libDir", dir)
-					continue
-				} else if !envconfig.EnableVulkan() && strings.Contains(filepath.Base(dir), "vulkan") {
-					slog.Info("experimental Vulkan support disabled.  To enable, set OLLAMA_VULKAN=1")
-					continue
 				}
 				dirs = []string{ml.LibOllamaPath, dir}
 			} else {
@@ -121,7 +110,7 @@ func GPUDevices(ctx context.Context, runners []ml.FilteredRunnerDiscovery) []ml.
 		// In the second pass, we more deeply initialize the GPUs to weed out devices that
 		// aren't supported by a given library.  We run this phase in parallel to speed up discovery.
 		// Only devices that need verification are included in this pass
-		slog.Debug("evaluating which, if any, devices to filter out", "initial_count", len(devices))
+		slog.Debug("evluating which if any devices to filter out", "initial_count", len(devices))
 		ctx2ndPass, cancel := context.WithTimeout(ctx, 30*time.Second)
 		defer cancel()
 		var wg sync.WaitGroup
@@ -129,25 +118,15 @@ func GPUDevices(ctx context.Context, runners []ml.FilteredRunnerDiscovery) []ml.
 		supportedMu := sync.Mutex{}
 		supported := make(map[string]map[string]map[string]int) // [Library][libDir][ID] = pre-deletion devices index
 		for i := range devices {
-			libDir := devices[i].LibraryPath[len(devices[i].LibraryPath)-1]
 			if !devices[i].NeedsInitValidation() {
-				// No need to validate, add to the supported map
-				supportedMu.Lock()
-				if _, ok := supported[devices[i].Library]; !ok {
-					supported[devices[i].Library] = make(map[string]map[string]int)
-				}
-				if _, ok := supported[devices[i].Library][libDir]; !ok {
-					supported[devices[i].Library][libDir] = make(map[string]int)
-				}
-				supported[devices[i].Library][libDir][devices[i].ID] = i
-				supportedMu.Unlock()
 				continue
 			}
-			slog.Debug("verifying if device is supported", "library", libDir, "description", devices[i].Description, "compute", devices[i].Compute(), "id", devices[i].ID, "pci_id", devices[i].PCIID)
+			libDir := devices[i].LibraryPath[len(devices[i].LibraryPath)-1]
+			slog.Debug("verifying device is supported", "library", libDir, "description", devices[i].Description, "compute", devices[i].Compute(), "id", devices[i].ID, "pci_id", devices[i].PCIID)
 			wg.Add(1)
 			go func(i int) {
 				defer wg.Done()
-				extraEnvs := ml.GetVisibleDevicesEnv(devices[i:i+1], true)
+				extraEnvs := ml.GetVisibleDevicesEnv(devices[i : i+1])
 				devices[i].AddInitValidation(extraEnvs)
 				if len(bootstrapDevices(ctx2ndPass, devices[i].LibraryPath, extraEnvs)) == 0 {
 					slog.Debug("filtering device which didn't fully initialize",
@@ -333,8 +312,7 @@ func GPUDevices(ctx context.Context, runners []ml.FilteredRunnerDiscovery) []ml.
 			defer cancel()
 
 			// Apply any dev filters to avoid re-discovering unsupported devices, and get IDs correct
-			// We avoid CUDA filters here to keep ROCm from failing to discover GPUs in a mixed environment
+			devFilter := ml.GetVisibleDevicesEnv(devices)
-			devFilter := ml.GetVisibleDevicesEnv(devices, false)
 
 			for dir := range libDirs {
 				updatedDevices := bootstrapDevices(ctx, []string{ml.LibOllamaPath, dir}, devFilter)
@@ -468,37 +446,3 @@ func bootstrapDevices(ctx context.Context, ollamaLibDirs []string, extraEnvs map
 
 	return devices
 }
-
-func overrideWarnings() {
-	anyFound := false
-	m := envconfig.AsMap()
-	for _, k := range []string{
-		"CUDA_VISIBLE_DEVICES",
-		"HIP_VISIBLE_DEVICES",
-		"ROCR_VISIBLE_DEVICES",
-		"GGML_VK_VISIBLE_DEVICES",
-		"GPU_DEVICE_ORDINAL",
-		"HSA_OVERRIDE_GFX_VERSION",
-	} {
-		if e, found := m[k]; found && e.Value != "" {
-			anyFound = true
-			slog.Warn("user overrode visible devices", k, e.Value)
-		}
-	}
-	if anyFound {
-		slog.Warn("if GPUs are not correctly discovered, unset and try again")
-	}
-}
-
-func detectIncompatibleLibraries() {
-	if runtime.GOOS != "windows" {
-		return
-	}
-	basePath, err := exec.LookPath("ggml-base.dll")
-	if err != nil || basePath == "" {
-		return
-	}
-	if !strings.HasPrefix(basePath, ml.LibOllamaPath) {
-		slog.Warn("potentially incompatible library detected in PATH", "location", basePath)
-	}
-}

docs/README.md

@@ -12,9 +12,8 @@
 ### Reference
 
 * [API Reference](https://docs.ollama.com/api)
-* [Modelfile Reference](https://docs.ollama.com/modelfile)
+* [Modelfile Reference](./modelfile.md)
 * [OpenAI Compatibility](https://docs.ollama.com/api/openai-compatibility)
-* [Anthropic Compatibility](./api/anthropic-compatibility.mdx)
 
 ### Resources
 

docs/api.md

@@ -50,7 +50,7 @@ Generate a response for a given prompt with a provided model. This is a streamin
 Advanced parameters (optional):
 
 - `format`: the format to return a response in. Format can be `json` or a JSON schema
-- `options`: additional model parameters listed in the documentation for the [Modelfile](./modelfile.mdx#valid-parameters-and-values) such as `temperature`
+- `options`: additional model parameters listed in the documentation for the [Modelfile](./modelfile.md#valid-parameters-and-values) such as `temperature`
 - `system`: system message to (overrides what is defined in the `Modelfile`)
 - `template`: the prompt template to use (overrides what is defined in the `Modelfile`)
 - `stream`: if `false` the response will be returned as a single response object, rather than a stream of objects
@@ -507,7 +507,7 @@ The `message` object has the following fields:
 Advanced parameters (optional):
 
 - `format`: the format to return a response in. Format can be `json` or a JSON schema.
-- `options`: additional model parameters listed in the documentation for the [Modelfile](./modelfile.mdx#valid-parameters-and-values) such as `temperature`
+- `options`: additional model parameters listed in the documentation for the [Modelfile](./modelfile.md#valid-parameters-and-values) such as `temperature`
 - `stream`: if `false` the response will be returned as a single response object, rather than a stream of objects
 - `keep_alive`: controls how long the model will stay loaded into memory following the request (default: `5m`)
 
@@ -895,11 +895,11 @@ curl http://localhost:11434/api/chat -d '{
       "tool_calls": [
         {
           "function": {
-            "name": "get_weather",
+            "name": "get_temperature",
             "arguments": {
               "city": "Toronto"
             }
-          }
+          },
         }
       ]
     },
@@ -907,7 +907,7 @@ curl http://localhost:11434/api/chat -d '{
     {
       "role": "tool",
       "content": "11 degrees celsius",
-      "tool_name": "get_weather"
+      "tool_name": "get_temperature",
     }
   ],
   "stream": false,
@@ -1189,7 +1189,7 @@ If you are creating a model from a safetensors directory or from a GGUF file, yo
 - `template`: (optional) the prompt template for the model
 - `license`: (optional) a string or list of strings containing the license or licenses for the model
 - `system`: (optional) a string containing the system prompt for the model
-- `parameters`: (optional) a dictionary of parameters for the model (see [Modelfile](./modelfile.mdx#valid-parameters-and-values) for a list of parameters)
+- `parameters`: (optional) a dictionary of parameters for the model (see [Modelfile](./modelfile.md#valid-parameters-and-values) for a list of parameters)
 - `messages`: (optional) a list of message objects used to create a conversation
 - `stream`: (optional) if `false` the response will be returned as a single response object, rather than a stream of objects
 - `quantize` (optional): quantize a non-quantized (e.g. float16) model
@@ -1698,7 +1698,7 @@ Generate embeddings from a model
 Advanced parameters:
 
 - `truncate`: truncates the end of each input to fit within context length. Returns error if `false` and context length is exceeded. Defaults to `true`
-- `options`: additional model parameters listed in the documentation for the [Modelfile](./modelfile.mdx#valid-parameters-and-values) such as `temperature`
+- `options`: additional model parameters listed in the documentation for the [Modelfile](./modelfile.md#valid-parameters-and-values) such as `temperature`
 - `keep_alive`: controls how long the model will stay loaded into memory following the request (default: `5m`)
 - `dimensions`: number of dimensions for the embedding
 
@@ -1817,7 +1817,7 @@ Generate embeddings from a model
 
 Advanced parameters:
 
-- `options`: additional model parameters listed in the documentation for the [Modelfile](./modelfile.mdx#valid-parameters-and-values) such as `temperature`
+- `options`: additional model parameters listed in the documentation for the [Modelfile](./modelfile.md#valid-parameters-and-values) such as `temperature`
 - `keep_alive`: controls how long the model will stay loaded into memory following the request (default: `5m`)
 
 ### Examples

docs/api/anthropic-compatibility.mdx

@@ -1,406 +0,0 @@
----
-title: Anthropic compatibility
----
-
-Ollama provides compatibility with the [Anthropic Messages API](https://docs.anthropic.com/en/api/messages) to help connect existing applications to Ollama, including tools like Claude Code.
-
-## Recommended models
-
-For coding use cases, models like `glm-4.7:cloud`, `minimax-m2.1:cloud`, and `qwen3-coder` are recommended.
-
-Pull a model before use:
-```shell
-ollama pull qwen3-coder
-ollama pull glm-4.7:cloud
-```
-
-## Usage
-
-### Environment variables
-
-To use Ollama with tools that expect the Anthropic API (like Claude Code), set these environment variables:
-
-```shell
-export ANTHROPIC_BASE_URL=http://localhost:11434
-export ANTHROPIC_API_KEY=ollama  # required but ignored
-```
-
-### Simple `/v1/messages` example
-
-<CodeGroup dropdown>
-
-```python basic.py
-import anthropic
-
-client = anthropic.Anthropic(
-    base_url='http://localhost:11434',
-    api_key='ollama',  # required but ignored
-)
-
-message = client.messages.create(
-    model='qwen3-coder',
-    max_tokens=1024,
-    messages=[
-        {'role': 'user', 'content': 'Hello, how are you?'}
-    ]
-)
-print(message.content[0].text)
-```
-
-```javascript basic.js
-import Anthropic from "@anthropic-ai/sdk";
-
-const anthropic = new Anthropic({
-  baseURL: "http://localhost:11434",
-  apiKey: "ollama", // required but ignored
-});
-
-const message = await anthropic.messages.create({
-  model: "qwen3-coder",
-  max_tokens: 1024,
-  messages: [{ role: "user", content: "Hello, how are you?" }],
-});
-
-console.log(message.content[0].text);
-```
-
-```shell basic.sh
-curl -X POST http://localhost:11434/v1/messages \
--H "Content-Type: application/json" \
--H "x-api-key: ollama" \
--H "anthropic-version: 2023-06-01" \
--d '{
-  "model": "qwen3-coder",
-  "max_tokens": 1024,
-  "messages": [{ "role": "user", "content": "Hello, how are you?" }]
-}'
-```
-
-</CodeGroup>
-
-### Streaming example
-
-<CodeGroup dropdown>
-
-```python streaming.py
-import anthropic
-
-client = anthropic.Anthropic(
-    base_url='http://localhost:11434',
-    api_key='ollama',
-)
-
-with client.messages.stream(
-    model='qwen3-coder',
-    max_tokens=1024,
-    messages=[{'role': 'user', 'content': 'Count from 1 to 10'}]
-) as stream:
-    for text in stream.text_stream:
-        print(text, end='', flush=True)
-```
-
-```javascript streaming.js
-import Anthropic from "@anthropic-ai/sdk";
-
-const anthropic = new Anthropic({
-  baseURL: "http://localhost:11434",
-  apiKey: "ollama",
-});
-
-const stream = await anthropic.messages.stream({
-  model: "qwen3-coder",
-  max_tokens: 1024,
-  messages: [{ role: "user", content: "Count from 1 to 10" }],
-});
-
-for await (const event of stream) {
-  if (
-    event.type === "content_block_delta" &&
-    event.delta.type === "text_delta"
-  ) {
-    process.stdout.write(event.delta.text);
-  }
-}
-```
-
-```shell streaming.sh
-curl -X POST http://localhost:11434/v1/messages \
--H "Content-Type: application/json" \
--d '{
-  "model": "qwen3-coder",
-  "max_tokens": 1024,
-  "stream": true,
-  "messages": [{ "role": "user", "content": "Count from 1 to 10" }]
-}'
-```
-
-</CodeGroup>
-
-### Tool calling example
-
-<CodeGroup dropdown>
-
-```python tools.py
-import anthropic
-
-client = anthropic.Anthropic(
-    base_url='http://localhost:11434',
-    api_key='ollama',
-)
-
-message = client.messages.create(
-    model='qwen3-coder',
-    max_tokens=1024,
-    tools=[
-        {
-            'name': 'get_weather',
-            'description': 'Get the current weather in a location',
-            'input_schema': {
-                'type': 'object',
-                'properties': {
-                    'location': {
-                        'type': 'string',
-                        'description': 'The city and state, e.g. San Francisco, CA'
-                    }
-                },
-                'required': ['location']
-            }
-        }
-    ],
-    messages=[{'role': 'user', 'content': "What's the weather in San Francisco?"}]
-)
-
-for block in message.content:
-    if block.type == 'tool_use':
-        print(f'Tool: {block.name}')
-        print(f'Input: {block.input}')
-```
-
-```javascript tools.js
-import Anthropic from "@anthropic-ai/sdk";
-
-const anthropic = new Anthropic({
-  baseURL: "http://localhost:11434",
-  apiKey: "ollama",
-});
-
-const message = await anthropic.messages.create({
-  model: "qwen3-coder",
-  max_tokens: 1024,
-  tools: [
-    {
-      name: "get_weather",
-      description: "Get the current weather in a location",
-      input_schema: {
-        type: "object",
-        properties: {
-          location: {
-            type: "string",
-            description: "The city and state, e.g. San Francisco, CA",
-          },
-        },
-        required: ["location"],
-      },
-    },
-  ],
-  messages: [{ role: "user", content: "What's the weather in San Francisco?" }],
-});
-
-for (const block of message.content) {
-  if (block.type === "tool_use") {
-    console.log("Tool:", block.name);
-    console.log("Input:", block.input);
-  }
-}
-```
-
-```shell tools.sh
-curl -X POST http://localhost:11434/v1/messages \
--H "Content-Type: application/json" \
--d '{
-  "model": "qwen3-coder",
-  "max_tokens": 1024,
-  "tools": [
-    {
-      "name": "get_weather",
-      "description": "Get the current weather in a location",
-      "input_schema": {
-        "type": "object",
-        "properties": {
-          "location": {
-            "type": "string",
-            "description": "The city and state"
-          }
-        },
-        "required": ["location"]
-      }
-    }
-  ],
-  "messages": [{ "role": "user", "content": "What is the weather in San Francisco?" }]
-}'
-```
-
-</CodeGroup>
-
-## Using with Claude Code
-
-[Claude Code](https://code.claude.com/docs/en/overview) can be configured to use Ollama as its backend:
-
-```shell
-ANTHROPIC_BASE_URL=http://localhost:11434 ANTHROPIC_API_KEY=ollama claude --model qwen3-coder
-```
-
-Or set the environment variables in your shell profile:
-
-```shell
-export ANTHROPIC_BASE_URL=http://localhost:11434
-export ANTHROPIC_API_KEY=ollama
-```
-
-Then run Claude Code with any Ollama model:
-
-```shell
-# Local models
-claude --model qwen3-coder
-claude --model gpt-oss:20b
-
-# Cloud models
-claude --model glm-4.7:cloud
-claude --model minimax-m2.1:cloud
-```
-
-## Endpoints
-
-### `/v1/messages`
-
-#### Supported features
-
-- [x] Messages
-- [x] Streaming
-- [x] System prompts
-- [x] Multi-turn conversations
-- [x] Vision (images)
-- [x] Tools (function calling)
-- [x] Tool results
-- [x] Thinking/extended thinking
-
-#### Supported request fields
-
-- [x] `model`
-- [x] `max_tokens`
-- [x] `messages`
-  - [x] Text `content`
-  - [x] Image `content` (base64)
-  - [x] Array of content blocks
-  - [x] `tool_use` blocks
-  - [x] `tool_result` blocks
-  - [x] `thinking` blocks
-- [x] `system` (string or array)
-- [x] `stream`
-- [x] `temperature`
-- [x] `top_p`
-- [x] `top_k`
-- [x] `stop_sequences`
-- [x] `tools`
-- [x] `thinking`
-- [ ] `tool_choice`
-- [ ] `metadata`
-
-#### Supported response fields
-
-- [x] `id`
-- [x] `type`
-- [x] `role`
-- [x] `model`
-- [x] `content` (text, tool_use, thinking blocks)
-- [x] `stop_reason` (end_turn, max_tokens, tool_use)
-- [x] `usage` (input_tokens, output_tokens)
-
-#### Streaming events
-
-- [x] `message_start`
-- [x] `content_block_start`
-- [x] `content_block_delta` (text_delta, input_json_delta, thinking_delta)
-- [x] `content_block_stop`
-- [x] `message_delta`
-- [x] `message_stop`
-- [x] `ping`
-- [x] `error`
-
-## Models
-
-Ollama supports both local and cloud models.
-
-### Local models
-
-Pull a local model before use:
-
-```shell
-ollama pull qwen3-coder
-```
-
-Recommended local models:
-- `qwen3-coder` - Excellent for coding tasks
-- `gpt-oss:20b` - Strong general-purpose model
-
-### Cloud models
-
-Cloud models are available immediately without pulling:
-
-- `glm-4.7:cloud` - High-performance cloud model
-- `minimax-m2.1:cloud` - Fast cloud model
-
-### Default model names
-
-For tooling that relies on default Anthropic model names such as `claude-3-5-sonnet`, use `ollama cp` to copy an existing model name:
-
-```shell
-ollama cp qwen3-coder claude-3-5-sonnet
-```
-
-Afterwards, this new model name can be specified in the `model` field:
-
-```shell
-curl http://localhost:11434/v1/messages \
-    -H "Content-Type: application/json" \
-    -d '{
-        "model": "claude-3-5-sonnet",
-        "max_tokens": 1024,
-        "messages": [
-            {
-                "role": "user",
-                "content": "Hello!"
-            }
-        ]
-    }'
-```
-
-## Differences from the Anthropic API
-
-### Behavior differences
-
-- API key is accepted but not validated
-- `anthropic-version` header is accepted but not used
-- Token counts are approximations based on the underlying model's tokenizer
-
-### Not supported
-
-The following Anthropic API features are not currently supported:
-
-| Feature | Description |
-|---------|-------------|
-| `/v1/messages/count_tokens` | Token counting endpoint |
-| `tool_choice` | Forcing specific tool use or disabling tools |
-| `metadata` | Request metadata (user_id) |
-| Prompt caching | `cache_control` blocks for caching prefixes |
-| Batches API | `/v1/messages/batches` for async batch processing |
-| Citations | `citations` content blocks |
-| PDF support | `document` content blocks with PDF files |
-| Server-sent errors | `error` events during streaming (errors return HTTP status) |
-
-### Partial support
-
-| Feature | Status |
-|---------|--------|
-| Image content | Base64 images supported; URL images not supported |
-| Extended thinking | Basic support; `budget_tokens` accepted but not enforced |

docs/capabilities/embeddings.mdx

@@ -13,23 +13,9 @@ Embeddings turn text into numeric vectors you can store in a vector database, se
 
 ## Generate embeddings
 
+Use `/api/embed` with a single string.
+
 <Tabs>
-  <Tab title="CLI">
-    Generate embeddings directly from the command line:
-
-    ```shell
-    ollama run embeddinggemma "Hello world"
-    ```
-
-    You can also pipe text to generate embeddings:
-
-    ```shell
-    echo "Hello world" | ollama run embeddinggemma
-    ```
-
-    Output is a JSON array.
-
-  </Tab>
   <Tab title="cURL">
     ```shell
     curl -X POST http://localhost:11434/api/embed \

docs/capabilities/tool-calling.mdx

@@ -15,7 +15,7 @@ Also known as "single-shot" tool calling.
     ```shell
     curl -s http://localhost:11434/api/chat -H "Content-Type: application/json" -d '{
       "model": "qwen3",
-      "messages": [{"role": "user", "content": "What is the temperature in New York?"}],
+      "messages": [{"role": "user", "content": "What's the temperature in New York?"}],
       "stream": false,
       "tools": [
         {
@@ -41,7 +41,7 @@ Also known as "single-shot" tool calling.
     curl -s http://localhost:11434/api/chat -H "Content-Type: application/json" -d '{
       "model": "qwen3",
       "messages": [
-        {"role": "user", "content": "What is the temperature in New York?"},
+        {"role": "user", "content": "What's the temperature in New York?"},
         {
           "role": "assistant",
           "tool_calls": [
@@ -90,7 +90,7 @@ Also known as "single-shot" tool calling.
       }
       return temperatures.get(city, "Unknown")
 
-    messages = [{"role": "user", "content": "What is the temperature in New York?"}]
+    messages = [{"role": "user", "content": "What's the temperature in New York?"}]
 
     # pass functions directly as tools in the tools list or as a JSON schema
     response = chat(model="qwen3", messages=messages, tools=[get_temperature], think=True)
@@ -146,7 +146,7 @@ Also known as "single-shot" tool calling.
       },
     ]
 
-    const messages = [{ role: 'user', content: "What is the temperature in New York?" }]
+    const messages = [{ role: 'user', content: "What's the temperature in New York?" }]
 
     const response = await ollama.chat({
       model: 'qwen3',
@@ -609,7 +609,7 @@ def get_temperature(city: str) -> str:
   return temperatures.get(city, 'Unknown')
 
 
-messages = [{'role': 'user', 'content': "What is the temperature in New York?"}]
+messages = [{'role': 'user', 'content': "What's the temperature in New York?"}]
 
 while True:
   stream = chat(
@@ -684,7 +684,7 @@ const getTemperatureTool = {
 }
 
 async function agentLoop() {
-  const messages = [{ role: 'user', content: "What is the temperature in New York?" }]
+  const messages = [{ role: 'user', content: "What's the temperature in New York?" }]
 
   while (true) {
     const stream = await ollama.chat({

docs/capabilities/vision.mdx

@@ -36,6 +36,7 @@ Provide an `images` array. SDKs accept file paths, URLs or raw bytes while the R
         }],
         "stream": false
     }'
+    "
     ```
   </Tab>
   <Tab title="Python">

docs/cloud.mdx

@@ -9,9 +9,15 @@ sidebarTitle: Cloud
 
 Ollama's cloud models are a new kind of model in Ollama that can run without a powerful GPU. Instead, cloud models are automatically offloaded to Ollama's cloud service while offering the same capabilities as local models, making it possible to keep using your local tools while running larger models that wouldn't fit on a personal computer.
 
-### Supported models
+Ollama currently supports the following cloud models, with more coming soon:
 
-For a list of supported models, see Ollama's [model library](https://ollama.com/search?c=cloud).
+- `deepseek-v3.1:671b-cloud`
+- `gpt-oss:20b-cloud`
+- `gpt-oss:120b-cloud`
+- `kimi-k2:1t-cloud`
+- `qwen3-coder:480b-cloud`
+- `glm-4.6:cloud`
+- `minimax-m2:cloud`
 
 ### Running Cloud models