mlxrunner fixes (#14247)

* load glm4_moe_lite from the mlxrunner

* fix loading diffusion models

* remove log lines

* fix --imagegen flag

.github/workflows/release.yaml

@@ -337,6 +337,7 @@ jobs:
           name: bundles-windows
           path: |
             dist/*.zip
+            dist/*.ps1
             dist/OllamaSetup.exe
 
   linux-build:
@@ -514,6 +515,9 @@ jobs:
       - name: Log dist contents
         run: |
           ls -l dist/
+      - name: Copy install scripts to dist
+        run: |
+          cp scripts/install.sh dist/install.sh
       - name: Generate checksum file
         run: find . -type f -not -name 'sha256sum.txt' | xargs sha256sum | tee sha256sum.txt
         working-directory: dist
@@ -536,7 +540,7 @@ 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/*.tar.zst dist/*.exe dist/*.dmg dist/*.ps1 dist/*.sh ; do
             echo "Uploading $payload"
             gh release upload ${GITHUB_REF_NAME} $payload --clobber &
             pids[$!]=$!

Dockerfile

@@ -147,7 +147,7 @@ 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 x/imagegen/mlx x/imagegen/mlx
 COPY go.mod go.sum .
 COPY MLX_VERSION .
 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

README.md

@@ -1,20 +1,30 @@
-<div align="center">
-  <a href="https://ollama.com">
-    <img alt="ollama" width="240" src="https://github.com/ollama/ollama/assets/3325447/0d0b44e2-8f4a-4e99-9b52-a5c1c741c8f7">
+<p align="center">
+  <a href="https://ollama.com">
+    <img src="https://github.com/ollama/ollama/assets/3325447/0d0b44e2-8f4a-4e99-9b52-a5c1c741c8f7" alt="ollama" width="200"/>
   </a>
-</div>
+</p>
 
 # Ollama
 
-Get up and running with large language models.
+Start building with open models.
+
+## Download
 
 ### macOS
 
-[Download](https://ollama.com/download/Ollama.dmg)
+```shell
+curl -fsSL https://ollama.com/install.sh | sh
+```
+
+or [download manually](http://localhost:8080/download/Ollama.dmg)
 
 ### Windows
 
-[Download](https://ollama.com/download/OllamaSetup.exe)
+```shell
+irm https://ollama.com/install.ps1 | iex
+```
+
+or [download manually](https://ollama.com/download/OllamaSetup.exe)
 
 ### Linux
 
@@ -36,649 +46,311 @@ The official [Ollama Docker image](https://hub.docker.com/r/ollama/ollama) `olla
 ### Community
 
 - [Discord](https://discord.gg/ollama)
+- [𝕏 (Twitter)](https://x.com/ollama)
 - [Reddit](https://reddit.com/r/ollama)
 
-## Quickstart
+## Get started
 
-To run and chat with [Gemma 3](https://ollama.com/library/gemma3):
+```
+ollama
+```
 
-```shell
+You'll be prompted to run a model or connect Ollama to your existing agents or applications such as `claude`, `codex`, `openclaw` and more.
+
+### Coding
+
+To launch a specific integration:
+
+```
+ollama launch claude
+```
+
+Supported integrations include [Claude Code](https://docs.ollama.com/integrations/claude-code), [Codex](https://docs.ollama.com/integrations/codex), [Droid](https://docs.ollama.com/integrations/droid), and [OpenCode](https://docs.ollama.com/integrations/opencode).
+
+### AI assistant
+
+Use [OpenClaw](https://docs.ollama.com/integrations/openclaw) to turn Ollama into a personal AI assistant across WhatsApp, Telegram, Slack, Discord, and more:
+
+```
+ollama launch openclaw
+```
+
+### Chat with a model
+
+Run and chat with [Gemma 3](https://ollama.com/library/gemma3):
+
+```
 ollama run gemma3
 ```
 
-## Model library
+See [ollama.com/library](https://ollama.com/library) for the full list.
 
-Ollama supports a list of models available on [ollama.com/library](https://ollama.com/library "ollama model library")
-
-Here are some example models that can be downloaded:
-
-| Model              | Parameters | Size  | Download                         |
-| ------------------ | ---------- | ----- | -------------------------------- |
-| Gemma 3            | 1B         | 815MB | `ollama run gemma3:1b`           |
-| Gemma 3            | 4B         | 3.3GB | `ollama run gemma3`              |
-| Gemma 3            | 12B        | 8.1GB | `ollama run gemma3:12b`          |
-| Gemma 3            | 27B        | 17GB  | `ollama run gemma3:27b`          |
-| QwQ                | 32B        | 20GB  | `ollama run qwq`                 |
-| DeepSeek-R1        | 7B         | 4.7GB | `ollama run deepseek-r1`         |
-| DeepSeek-R1        | 671B       | 404GB | `ollama run deepseek-r1:671b`    |
-| Llama 4            | 109B       | 67GB  | `ollama run llama4:scout`        |
-| Llama 4            | 400B       | 245GB | `ollama run llama4:maverick`     |
-| Llama 3.3          | 70B        | 43GB  | `ollama run llama3.3`            |
-| Llama 3.2          | 3B         | 2.0GB | `ollama run llama3.2`            |
-| Llama 3.2          | 1B         | 1.3GB | `ollama run llama3.2:1b`         |
-| Llama 3.2 Vision   | 11B        | 7.9GB | `ollama run llama3.2-vision`     |
-| Llama 3.2 Vision   | 90B        | 55GB  | `ollama run llama3.2-vision:90b` |
-| Llama 3.1          | 8B         | 4.7GB | `ollama run llama3.1`            |
-| Llama 3.1          | 405B       | 231GB | `ollama run llama3.1:405b`       |
-| Phi 4              | 14B        | 9.1GB | `ollama run phi4`                |
-| Phi 4 Mini         | 3.8B       | 2.5GB | `ollama run phi4-mini`           |
-| Mistral            | 7B         | 4.1GB | `ollama run mistral`             |
-| Moondream 2        | 1.4B       | 829MB | `ollama run moondream`           |
-| Neural Chat        | 7B         | 4.1GB | `ollama run neural-chat`         |
-| Starling           | 7B         | 4.1GB | `ollama run starling-lm`         |
-| Code Llama         | 7B         | 3.8GB | `ollama run codellama`           |
-| Llama 2 Uncensored | 7B         | 3.8GB | `ollama run llama2-uncensored`   |
-| LLaVA              | 7B         | 4.5GB | `ollama run llava`               |
-| Granite-3.3        | 8B         | 4.9GB | `ollama run granite3.3`          |
-
-> [!NOTE]
-> You should have at least 8 GB of RAM available to run the 7B models, 16 GB to run the 13B models, and 32 GB to run the 33B models.
-
-## Customize a model
-
-### Import from GGUF
-
-Ollama supports importing GGUF models in the Modelfile:
-
-1. Create a file named `Modelfile`, with a `FROM` instruction with the local filepath to the model you want to import.
-
-   ```
-   FROM ./vicuna-33b.Q4_0.gguf
-   ```
-
-2. Create the model in Ollama
-
-   ```shell
-   ollama create example -f Modelfile
-   ```
-
-3. Run the model
-
-   ```shell
-   ollama run example
-   ```
-
-### Import from Safetensors
-
-See the [guide](https://docs.ollama.com/import) on importing models for more information.
-
-### Customize a prompt
-
-Models from the Ollama library can be customized with a prompt. For example, to customize the `llama3.2` model:
-
-```shell
-ollama pull llama3.2
-```
-
-Create a `Modelfile`:
-
-```
-FROM llama3.2
-
-# set the temperature to 1 [higher is more creative, lower is more coherent]
-PARAMETER temperature 1
-
-# set the system message
-SYSTEM """
-You are Mario from Super Mario Bros. Answer as Mario, the assistant, only.
-"""
-```
-
-Next, create and run the model:
-
-```
-ollama create mario -f ./Modelfile
-ollama run mario
->>> hi
-Hello! It's your friend Mario.
-```
-
-For more information on working with a Modelfile, see the [Modelfile](https://docs.ollama.com/modelfile) documentation.
-
-## CLI Reference
-
-### Create a model
-
-`ollama create` is used to create a model from a Modelfile.
-
-```shell
-ollama create mymodel -f ./Modelfile
-```
-
-### Pull a model
-
-```shell
-ollama pull llama3.2
-```
-
-> This command can also be used to update a local model. Only the diff will be pulled.
-
-### Remove a model
-
-```shell
-ollama rm llama3.2
-```
-
-### Copy a model
-
-```shell
-ollama cp llama3.2 my-model
-```
-
-### Multiline input
-
-For multiline input, you can wrap text with `"""`:
-
-```
->>> """Hello,
-... world!
-... """
-I'm a basic program that prints the famous "Hello, world!" message to the console.
-```
-
-### Multimodal models
-
-```
-ollama run llava "What's in this image? /Users/jmorgan/Desktop/smile.png"
-```
-
-> **Output**: The image features a yellow smiley face, which is likely the central focus of the picture.
-
-### Pass the prompt as an argument
-
-```shell
-ollama run llama3.2 "Summarize this file: $(cat README.md)"
-```
-
-> **Output**: Ollama is a lightweight, extensible framework for building and running language models on the local machine. It provides a simple API for creating, running, and managing models, as well as a library of pre-built models that can be easily used in a variety of applications.
-
-### Show model information
-
-```shell
-ollama show llama3.2
-```
-
-### List models on your computer
-
-```shell
-ollama list
-```
-
-### List which models are currently loaded
-
-```shell
-ollama ps
-```
-
-### Stop a model which is currently running
-
-```shell
-ollama stop llama3.2
-```
-
-### Generate embeddings from the CLI
-
-```shell
-ollama run embeddinggemma "Your text to embed"
-```
-
-You can also pipe text for scripted workflows:
-
-```shell
-echo "Your text to embed" | ollama run embeddinggemma
-```
-
-### Start Ollama
-
-`ollama serve` is used when you want to start ollama without running the desktop application.
-
-## Building
-
-See the [developer guide](https://github.com/ollama/ollama/blob/main/docs/development.md)
-
-### Running local builds
-
-Next, start the server:
-
-```shell
-./ollama serve
-```
-
-Finally, in a separate shell, run a model:
-
-```shell
-./ollama run llama3.2
-```
-
-## Building with MLX (experimental)
-
-First build the MLX libraries:
-
-```shell
-cmake --preset MLX
-cmake --build --preset MLX --parallel
-cmake --install build --component MLX
-```
-
-When building with the `-tags mlx` flag, the main `ollama` binary includes MLX support for experimental features like image generation:
-
-```shell
-go build -tags mlx .
-```
-
-Finally, start the server:
-
-```
-./ollama serve
-```
-
-### Building MLX with CUDA
-
-When building with CUDA, use the preset "MLX CUDA 13" or "MLX CUDA 12" to enable CUDA with default architectures:
-
-```shell
-cmake --preset 'MLX CUDA 13'
-cmake --build --preset 'MLX CUDA 13' --parallel
-cmake --install build --component MLX
-```
+See the [quickstart guide](https://docs.ollama.com/quickstart) for more details.
 
 ## REST API
 
 Ollama has a REST API for running and managing models.
 
-### Generate a response
-
-```shell
-curl http://localhost:11434/api/generate -d '{
-  "model": "llama3.2",
-  "prompt":"Why is the sky blue?"
-}'
 ```
-
-### Chat with a model
-
-```shell
 curl http://localhost:11434/api/chat -d '{
-  "model": "llama3.2",
-  "messages": [
-    { "role": "user", "content": "why is the sky blue?" }
-  ]
+  "model": "gemma3",
+  "messages": [{
+    "role": "user",
+    "content": "Why is the sky blue?"
+  }],
+  "stream": false
 }'
 ```
 
-See the [API documentation](./docs/api.md) for all endpoints.
+See the [API documentation](https://docs.ollama.com/api) for all endpoints.
+
+### Python
+
+```
+pip install ollama
+```
+
+```python
+from ollama import chat
+
+response = chat(model='gemma3', messages=[
+  {
+    'role': 'user',
+    'content': 'Why is the sky blue?',
+  },
+])
+print(response.message.content)
+```
+
+### JavaScript
+
+```
+npm i ollama
+```
+
+```javascript
+import ollama from "ollama";
+
+const response = await ollama.chat({
+  model: "gemma3",
+  messages: [{ role: "user", content: "Why is the sky blue?" }],
+});
+console.log(response.message.content);
+```
+
+## Supported backends
+
+- [llama.cpp](https://github.com/ggml-org/llama.cpp) project founded by Georgi Gerganov.
+
+## Documentation
+
+- [CLI reference](https://docs.ollama.com/cli)
+- [REST API reference](https://docs.ollama.com/api)
+- [Importing models](https://docs.ollama.com/import)
+- [Modelfile reference](https://docs.ollama.com/modelfile)
+- [Building from source](https://github.com/ollama/ollama/blob/main/docs/development.md)
 
 ## Community Integrations
 
-### Web & Desktop
+> Want to add your project? Open a pull request.
 
-- [Onyx](https://github.com/onyx-dot-app/onyx)
-- [Open WebUI](https://github.com/open-webui/open-webui)
-- [SwiftChat (macOS with ReactNative)](https://github.com/aws-samples/swift-chat)
-- [Enchanted (macOS native)](https://github.com/AugustDev/enchanted)
-- [Hollama](https://github.com/fmaclen/hollama)
-- [Lollms WebUI (Single user)](https://github.com/ParisNeo/lollms-webui)
-- [Lollms (Multi users)](https://github.com/ParisNeo/lollms)
-- [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)
-- [Chatbot UI v2](https://github.com/mckaywrigley/chatbot-ui)
-- [Typescript UI](https://github.com/ollama-interface/Ollama-Gui?tab=readme-ov-file)
-- [Minimalistic React UI for Ollama Models](https://github.com/richawo/minimal-llm-ui)
-- [Ollamac](https://github.com/kevinhermawan/Ollamac)
-- [big-AGI](https://github.com/enricoros/big-AGI)
-- [Cheshire Cat assistant framework](https://github.com/cheshire-cat-ai/core)
-- [Amica](https://github.com/semperai/amica)
-- [chatd](https://github.com/BruceMacD/chatd)
-- [Ollama-SwiftUI](https://github.com/kghandour/Ollama-SwiftUI)
-- [Dify.AI](https://github.com/langgenius/dify)
-- [MindMac](https://mindmac.app)
-- [NextJS Web Interface for Ollama](https://github.com/jakobhoeg/nextjs-ollama-llm-ui)
-- [Msty](https://msty.app)
-- [Chatbox](https://github.com/Bin-Huang/Chatbox)
-- [WinForm Ollama Copilot](https://github.com/tgraupmann/WinForm_Ollama_Copilot)
-- [NextChat](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web) with [Get Started Doc](https://docs.nextchat.dev/models/ollama)
-- [Alpaca WebUI](https://github.com/mmo80/alpaca-webui)
-- [OllamaGUI](https://github.com/enoch1118/ollamaGUI)
-- [OpenAOE](https://github.com/InternLM/OpenAOE)
-- [Odin Runes](https://github.com/leonid20000/OdinRunes)
-- [LLM-X](https://github.com/mrdjohnson/llm-x) (Progressive Web App)
-- [AnythingLLM (Docker + MacOs/Windows/Linux native app)](https://github.com/Mintplex-Labs/anything-llm)
-- [Screenpipe](https://github.com/mediar-ai/screenpipe) (24/7 screen & mic recording with AI-powered search, uses Ollama for local LLM features)
-- [Ollama Basic Chat: Uses HyperDiv Reactive UI](https://github.com/rapidarchitect/ollama_basic_chat)
-- [Ollama-chats RPG](https://github.com/drazdra/ollama-chats)
-- [IntelliBar](https://intellibar.app/) (AI-powered assistant for macOS)
-- [Jirapt](https://github.com/AliAhmedNada/jirapt) (Jira Integration to generate issues, tasks, epics)
-- [ojira](https://github.com/AliAhmedNada/ojira) (Jira chrome plugin to easily generate descriptions for tasks)
-- [QA-Pilot](https://github.com/reid41/QA-Pilot) (Interactive chat tool that can leverage Ollama models for rapid understanding and navigation of GitHub code repositories)
-- [ChatOllama](https://github.com/sugarforever/chat-ollama) (Open Source Chatbot based on Ollama with Knowledge Bases)
-- [CRAG Ollama Chat](https://github.com/Nagi-ovo/CRAG-Ollama-Chat) (Simple Web Search with Corrective RAG)
-- [RAGFlow](https://github.com/infiniflow/ragflow) (Open-source Retrieval-Augmented Generation engine based on deep document understanding)
-- [StreamDeploy](https://github.com/StreamDeploy-DevRel/streamdeploy-llm-app-scaffold) (LLM Application Scaffold)
-- [chat](https://github.com/swuecho/chat) (chat web app for teams)
-- [Lobe Chat](https://github.com/lobehub/lobe-chat) with [Integrating Doc](https://lobehub.com/docs/self-hosting/examples/ollama)
-- [Ollama RAG Chatbot](https://github.com/datvodinh/rag-chatbot.git) (Local Chat with multiple PDFs using Ollama and RAG)
-- [BrainSoup](https://www.nurgo-software.com/products/brainsoup) (Flexible native client with RAG & multi-agent automation)
-- [macai](https://github.com/Renset/macai) (macOS client for Ollama, ChatGPT, and other compatible API back-ends)
-- [RWKV-Runner](https://github.com/josStorer/RWKV-Runner) (RWKV offline LLM deployment tool, also usable as a client for ChatGPT and Ollama)
-- [Ollama Grid Search](https://github.com/dezoito/ollama-grid-search) (app to evaluate and compare models)
-- [Olpaka](https://github.com/Otacon/olpaka) (User-friendly Flutter Web App for Ollama)
-- [Casibase](https://casibase.org) (An open source AI knowledge base and dialogue system combining the latest RAG, SSO, ollama support, and multiple large language models.)
-- [OllamaSpring](https://github.com/CrazyNeil/OllamaSpring) (Ollama Client for macOS)
-- [LLocal.in](https://github.com/kartikm7/llocal) (Easy to use Electron Desktop Client for Ollama)
-- [Shinkai Desktop](https://github.com/dcSpark/shinkai-apps) (Two click install Local AI using Ollama + Files + RAG)
-- [AiLama](https://github.com/zeyoyt/ailama) (A Discord User App that allows you to interact with Ollama anywhere in Discord)
-- [Ollama with Google Mesop](https://github.com/rapidarchitect/ollama_mesop/) (Mesop Chat Client implementation with Ollama)
-- [R2R](https://github.com/SciPhi-AI/R2R) (Open-source RAG engine)
-- [Ollama-Kis](https://github.com/elearningshow/ollama-kis) (A simple easy-to-use GUI with sample custom LLM for Drivers Education)
-- [OpenGPA](https://opengpa.org) (Open-source offline-first Enterprise Agentic Application)
-- [Painting Droid](https://github.com/mateuszmigas/painting-droid) (Painting app with AI integrations)
-- [Kerlig AI](https://www.kerlig.com/) (AI writing assistant for macOS)
-- [AI Studio](https://github.com/MindWorkAI/AI-Studio)
-- [Sidellama](https://github.com/gyopak/sidellama) (browser-based LLM client)
-- [LLMStack](https://github.com/trypromptly/LLMStack) (No-code multi-agent framework to build LLM agents and workflows)
-- [BoltAI for Mac](https://boltai.com) (AI Chat Client for Mac)
-- [Harbor](https://github.com/av/harbor) (Containerized LLM Toolkit with Ollama as default backend)
-- [PyGPT](https://github.com/szczyglis-dev/py-gpt) (AI desktop assistant for Linux, Windows, and Mac)
-- [Alpaca](https://github.com/Jeffser/Alpaca) (An Ollama client application for Linux and macOS made with GTK4 and Adwaita)
-- [AutoGPT](https://github.com/Significant-Gravitas/AutoGPT/blob/master/docs/content/platform/ollama.md) (AutoGPT Ollama integration)
-- [Go-CREW](https://www.jonathanhecl.com/go-crew/) (Powerful Offline RAG in Golang)
-- [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
-- [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)
-- [crewAI with Mesop](https://github.com/rapidarchitect/ollama-crew-mesop) (Mesop Web Interface to run crewAI with Ollama)
-- [Tkinter-based client](https://github.com/chyok/ollama-gui) (Python tkinter-based Client for Ollama)
-- [LLMChat](https://github.com/trendy-design/llmchat) (Privacy focused, 100% local, intuitive all-in-one chat interface)
-- [Local Multimodal AI Chat](https://github.com/Leon-Sander/Local-Multimodal-AI-Chat) (Ollama-based LLM Chat with support for multiple features, including PDF RAG, voice chat, image-based interactions, and integration with OpenAI.)
-- [ARGO](https://github.com/xark-argo/argo) (Locally download and run Ollama and Huggingface models with RAG and deep research on Mac/Windows/Linux)
-- [OrionChat](https://github.com/EliasPereirah/OrionChat) - OrionChat is a web interface for chatting with different AI providers
-- [G1](https://github.com/bklieger-groq/g1) (Prototype of using prompting strategies to improve the LLM's reasoning through o1-like reasoning chains.)
-- [Web management](https://github.com/lemonit-eric-mao/ollama-web-management) (Web management page)
-- [Promptery](https://github.com/promptery/promptery) (desktop client for Ollama.)
-- [Ollama App](https://github.com/JHubi1/ollama-app) (Modern and easy-to-use multi-platform client for Ollama)
-- [chat-ollama](https://github.com/annilq/chat-ollama) (a React Native client for Ollama)
-- [SpaceLlama](https://github.com/tcsenpai/spacellama) (Firefox and Chrome extension to quickly summarize web pages with ollama in a sidebar)
-- [YouLama](https://github.com/tcsenpai/youlama) (Webapp to quickly summarize any YouTube video, supporting Invidious as well)
-- [DualMind](https://github.com/tcsenpai/dualmind) (Experimental app allowing two models to talk to each other in the terminal or in a web interface)
-- [ollamarama-matrix](https://github.com/h1ddenpr0cess20/ollamarama-matrix) (Ollama chatbot for the Matrix chat protocol)
-- [ollama-chat-app](https://github.com/anan1213095357/ollama-chat-app) (Flutter-based chat app)
-- [Perfect Memory AI](https://www.perfectmemory.ai/) (Productivity AI assists personalized by what you have seen on your screen, heard, and said in the meetings)
-- [Hexabot](https://github.com/hexastack/hexabot) (A conversational AI builder)
-- [Reddit Rate](https://github.com/rapidarchitect/reddit_analyzer) (Search and Rate Reddit topics with a weighted summation)
-- [OpenTalkGpt](https://github.com/adarshM84/OpenTalkGpt) (Chrome Extension to manage open-source models supported by Ollama, create custom models, and chat with models from a user-friendly UI)
-- [VT](https://github.com/vinhnx/vt.ai) (A minimal multimodal AI chat app, with dynamic conversation routing. Supports local models via Ollama)
-- [Nosia](https://github.com/nosia-ai/nosia) (Easy to install and use RAG platform based on Ollama)
-- [Witsy](https://github.com/nbonamy/witsy) (An AI Desktop application available for Mac/Windows/Linux)
-- [Abbey](https://github.com/US-Artificial-Intelligence/abbey) (A configurable AI interface server with notebooks, document storage, and YouTube support)
-- [Minima](https://github.com/dmayboroda/minima) (RAG with on-premises or fully local workflow)
-- [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.)
-- [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)
-- [LocalLLM](https://github.com/qusaismael/localllm) (Minimal Web-App to run ollama models on it with a GUI)
-- [Ollamazing](https://github.com/buiducnhat/ollamazing) (Web extension to run Ollama models)
-- [OpenDeepResearcher-via-searxng](https://github.com/benhaotang/OpenDeepResearcher-via-searxng) (A Deep Research equivalent endpoint with Ollama support for running locally)
-- [AntSK](https://github.com/AIDotNet/AntSK) (Out-of-the-box & Adaptable RAG Chatbot)
-- [MaxKB](https://github.com/1Panel-dev/MaxKB/) (Ready-to-use & flexible RAG Chatbot)
-- [yla](https://github.com/danielekp/yla) (Web interface to freely interact with your customized models)
-- [LangBot](https://github.com/RockChinQ/LangBot) (LLM-based instant messaging bots platform, with Agents, RAG features, supports multiple platforms)
-- [1Panel](https://github.com/1Panel-dev/1Panel/) (Web-based Linux Server Management Tool)
-- [AstrBot](https://github.com/Soulter/AstrBot/) (User-friendly LLM-based multi-platform chatbot with a WebUI, supporting RAG, LLM agents, and plugins integration)
-- [Reins](https://github.com/ibrahimcetin/reins) (Easily tweak parameters, customize system prompts per chat, and enhance your AI experiments with reasoning model support.)
-- [Flufy](https://github.com/Aharon-Bensadoun/Flufy) (A beautiful chat interface for interacting with Ollama's API. Built with React, TypeScript, and Material-UI.)
-- [Ellama](https://github.com/zeozeozeo/ellama) (Friendly native app to chat with an Ollama instance)
-- [screenpipe](https://github.com/mediar-ai/screenpipe) Build agents powered by your screen history
-- [Ollamb](https://github.com/hengkysteen/ollamb) (Simple yet rich in features, cross-platform built with Flutter and designed for Ollama. Try the [web demo](https://hengkysteen.github.io/demo/ollamb/).)
-- [Writeopia](https://github.com/Writeopia/Writeopia) (Text editor with integration with Ollama)
-- [AppFlowy](https://github.com/AppFlowy-IO/AppFlowy) (AI collaborative workspace with Ollama, cross-platform and self-hostable)
-- [Lumina](https://github.com/cushydigit/lumina.git) (A lightweight, minimal React.js frontend for interacting with Ollama servers)
-- [Tiny Notepad](https://pypi.org/project/tiny-notepad) (A lightweight, notepad-like interface to chat with ollama available on PyPI)
-- [macLlama (macOS native)](https://github.com/hellotunamayo/macLlama) (A native macOS GUI application for interacting with Ollama models, featuring a chat interface.)
-- [GPTranslate](https://github.com/philberndt/GPTranslate) (A fast and lightweight, AI powered desktop translation application written with Rust and Tauri. Features real-time translation with OpenAI/Azure/Ollama.)
-- [ollama launcher](https://github.com/NGC13009/ollama-launcher) (A launcher for Ollama, aiming to provide users with convenient functions such as ollama server launching, management, or configuration.)
-- [ai-hub](https://github.com/Aj-Seven/ai-hub) (AI Hub supports multiple models via API keys and Chat support via Ollama API.)
-- [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.)
-- [Stakpak](https://github.com/stakpak/agent) (An open source, vendor neutral DevOps agent that works with any model, and any stack, for teams who just want to ship)
+### Chat Interfaces
 
-### Cloud
+#### Web
+
+- [Open WebUI](https://github.com/open-webui/open-webui) - Extensible, self-hosted AI interface
+- [Onyx](https://github.com/onyx-dot-app/onyx) - Connected AI workspace
+- [LibreChat](https://github.com/danny-avila/LibreChat) - Enhanced ChatGPT clone with multi-provider support
+- [Lobe Chat](https://github.com/lobehub/lobe-chat) - Modern chat framework with plugin ecosystem ([docs](https://lobehub.com/docs/self-hosting/examples/ollama))
+- [NextChat](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web) - Cross-platform ChatGPT UI ([docs](https://docs.nextchat.dev/models/ollama))
+- [Perplexica](https://github.com/ItzCrazyKns/Perplexica) - AI-powered search engine, open-source Perplexity alternative
+- [big-AGI](https://github.com/enricoros/big-AGI) - AI suite for professionals
+- [Lollms WebUI](https://github.com/ParisNeo/lollms-webui) - Multi-model web interface
+- [ChatOllama](https://github.com/sugarforever/chat-ollama) - Chatbot with knowledge bases
+- [Bionic GPT](https://github.com/bionic-gpt/bionic-gpt) - On-premise AI platform
+- [Chatbot UI](https://github.com/ivanfioravanti/chatbot-ollama) - ChatGPT-style web interface
+- [Hollama](https://github.com/fmaclen/hollama) - Minimal web interface
+- [Chatbox](https://github.com/Bin-Huang/Chatbox) - Desktop and web AI client
+- [chat](https://github.com/swuecho/chat) - Chat web app for teams
+- [Ollama RAG Chatbot](https://github.com/datvodinh/rag-chatbot.git) - Chat with multiple PDFs using RAG
+- [Tkinter-based client](https://github.com/chyok/ollama-gui) - Python desktop client
+
+#### Desktop
+
+- [Dify.AI](https://github.com/langgenius/dify) - LLM app development platform
+- [AnythingLLM](https://github.com/Mintplex-Labs/anything-llm) - All-in-one AI app for Mac, Windows, and Linux
+- [Maid](https://github.com/Mobile-Artificial-Intelligence/maid) - Cross-platform mobile and desktop client
+- [Witsy](https://github.com/nbonamy/witsy) - AI desktop app for Mac, Windows, and Linux
+- [Cherry Studio](https://github.com/kangfenmao/cherry-studio) - Multi-provider desktop client
+- [Ollama App](https://github.com/JHubi1/ollama-app) - Multi-platform client for desktop and mobile
+- [PyGPT](https://github.com/szczyglis-dev/py-gpt) - AI desktop assistant for Linux, Windows, and Mac
+- [Alpaca](https://github.com/Jeffser/Alpaca) - GTK4 client for Linux and macOS
+- [SwiftChat](https://github.com/aws-samples/swift-chat) - Cross-platform including iOS, Android, and Apple Vision Pro
+- [Enchanted](https://github.com/AugustDev/enchanted) - Native macOS and iOS client
+- [RWKV-Runner](https://github.com/josStorer/RWKV-Runner) - Multi-model desktop runner
+- [Ollama Grid Search](https://github.com/dezoito/ollama-grid-search) - Evaluate and compare models
+- [macai](https://github.com/Renset/macai) - macOS client for Ollama and ChatGPT
+- [AI Studio](https://github.com/MindWorkAI/AI-Studio) - Multi-provider desktop IDE
+- [Reins](https://github.com/ibrahimcetin/reins) - Parameter tuning and reasoning model support
+- [ConfiChat](https://github.com/1runeberg/confichat) - Privacy-focused with optional encryption
+- [LLocal.in](https://github.com/kartikm7/llocal) - Electron desktop client
+- [MindMac](https://mindmac.app) - AI chat client for Mac
+- [Msty](https://msty.app) - Multi-model desktop client
+- [BoltAI for Mac](https://boltai.com) - AI chat client for Mac
+- [IntelliBar](https://intellibar.app/) - AI-powered assistant for macOS
+- [Kerlig AI](https://www.kerlig.com/) - AI writing assistant for macOS
+- [Hillnote](https://hillnote.com) - Markdown-first AI workspace
+- [Perfect Memory AI](https://www.perfectmemory.ai/) - Productivity AI personalized by screen and meeting history
+
+#### Mobile
+
+- [Ollama Android Chat](https://github.com/sunshine0523/OllamaServer) - One-click Ollama on Android
+
+> SwiftChat, Enchanted, Maid, Ollama App, Reins, and ConfiChat listed above also support mobile platforms.
+
+### Code Editors & Development
+
+- [Cline](https://github.com/cline/cline) - VS Code extension for multi-file/whole-repo coding
+- [Continue](https://github.com/continuedev/continue) - Open-source AI code assistant for any IDE
+- [Void](https://github.com/voideditor/void) - Open source AI code editor, Cursor alternative
+- [Copilot for Obsidian](https://github.com/logancyang/obsidian-copilot) - AI assistant for Obsidian
+- [twinny](https://github.com/rjmacarthy/twinny) - Copilot and Copilot chat alternative
+- [gptel Emacs client](https://github.com/karthink/gptel) - LLM client for Emacs
+- [Ollama Copilot](https://github.com/bernardo-bruning/ollama-copilot) - Use Ollama as GitHub Copilot
+- [Obsidian Local GPT](https://github.com/pfrankov/obsidian-local-gpt) - Local AI for Obsidian
+- [Ellama Emacs client](https://github.com/s-kostyaev/ellama) - LLM tool for Emacs
+- [orbiton](https://github.com/xyproto/orbiton) - Config-free text editor with Ollama tab completion
+- [AI ST Completion](https://github.com/yaroslavyaroslav/OpenAI-sublime-text) - Sublime Text 4 AI assistant
+- [VT Code](https://github.com/vinhnx/vtcode) - Rust-based terminal coding agent with Tree-sitter
+- [QodeAssist](https://github.com/Palm1r/QodeAssist) - AI coding assistant for Qt Creator
+- [AI Toolkit for VS Code](https://aka.ms/ai-tooklit/ollama-docs) - Microsoft-official VS Code extension
+- [Open Interpreter](https://docs.openinterpreter.com/language-model-setup/local-models/ollama) - Natural language interface for computers
+
+### Libraries & SDKs
+
+- [LiteLLM](https://github.com/BerriAI/litellm) - Unified API for 100+ LLM providers
+- [Semantic Kernel](https://github.com/microsoft/semantic-kernel/tree/main/python/semantic_kernel/connectors/ai/ollama) - Microsoft AI orchestration SDK
+- [LangChain4j](https://github.com/langchain4j/langchain4j) - Java LangChain ([example](https://github.com/langchain4j/langchain4j-examples/tree/main/ollama-examples/src/main/java))
+- [LangChainGo](https://github.com/tmc/langchaingo/) - Go LangChain ([example](https://github.com/tmc/langchaingo/tree/main/examples/ollama-completion-example))
+- [Spring AI](https://github.com/spring-projects/spring-ai) - Spring framework AI support ([docs](https://docs.spring.io/spring-ai/reference/api/chat/ollama-chat.html))
+- [LangChain](https://python.langchain.com/docs/integrations/chat/ollama/) and [LangChain.js](https://js.langchain.com/docs/integrations/chat/ollama/) with [example](https://js.langchain.com/docs/tutorials/local_rag/)
+- [Ollama for Ruby](https://github.com/crmne/ruby_llm) - Ruby LLM library
+- [any-llm](https://github.com/mozilla-ai/any-llm) - Unified LLM interface by Mozilla
+- [OllamaSharp for .NET](https://github.com/awaescher/OllamaSharp) - .NET SDK
+- [LangChainRust](https://github.com/Abraxas-365/langchain-rust) - Rust LangChain ([example](https://github.com/Abraxas-365/langchain-rust/blob/main/examples/llm_ollama.rs))
+- [Agents-Flex for Java](https://github.com/agents-flex/agents-flex) - Java agent framework ([example](https://github.com/agents-flex/agents-flex/tree/main/agents-flex-llm/agents-flex-llm-ollama/src/test/java/com/agentsflex/llm/ollama))
+- [Elixir LangChain](https://github.com/brainlid/langchain) - Elixir LangChain
+- [Ollama-rs for Rust](https://github.com/pepperoni21/ollama-rs) - Rust SDK
+- [LangChain for .NET](https://github.com/tryAGI/LangChain) - .NET LangChain ([example](https://github.com/tryAGI/LangChain/blob/main/examples/LangChain.Samples.OpenAI/Program.cs))
+- [chromem-go](https://github.com/philippgille/chromem-go) - Go vector database with Ollama embeddings ([example](https://github.com/philippgille/chromem-go/tree/v0.5.0/examples/rag-wikipedia-ollama))
+- [LangChainDart](https://github.com/davidmigloz/langchain_dart) - Dart LangChain
+- [LlmTornado](https://github.com/lofcz/llmtornado) - Unified C# interface for multiple inference APIs
+- [Ollama4j for Java](https://github.com/ollama4j/ollama4j) - Java SDK
+- [Ollama for Laravel](https://github.com/cloudstudio/ollama-laravel) - Laravel integration
+- [Ollama for Swift](https://github.com/mattt/ollama-swift) - Swift SDK
+- [LlamaIndex](https://docs.llamaindex.ai/en/stable/examples/llm/ollama/) and [LlamaIndexTS](https://ts.llamaindex.ai/modules/llms/available_llms/ollama) - Data framework for LLM apps
+- [Haystack](https://github.com/deepset-ai/haystack-integrations/blob/main/integrations/ollama.md) - AI pipeline framework
+- [Firebase Genkit](https://firebase.google.com/docs/genkit/plugins/ollama) - Google AI framework
+- [Ollama-hpp for C++](https://github.com/jmont-dev/ollama-hpp) - C++ SDK
+- [PromptingTools.jl](https://github.com/svilupp/PromptingTools.jl) - Julia LLM toolkit ([example](https://svilupp.github.io/PromptingTools.jl/dev/examples/working_with_ollama))
+- [Ollama for R - rollama](https://github.com/JBGruber/rollama) - R SDK
+- [Portkey](https://portkey.ai/docs/welcome/integration-guides/ollama) - AI gateway
+- [Testcontainers](https://testcontainers.com/modules/ollama/) - Container-based testing
+- [LLPhant](https://github.com/theodo-group/LLPhant?tab=readme-ov-file#ollama) - PHP AI framework
+
+### Frameworks & Agents
+
+- [AutoGPT](https://github.com/Significant-Gravitas/AutoGPT/blob/master/docs/content/platform/ollama.md) - Autonomous AI agent platform
+- [crewAI](https://github.com/crewAIInc/crewAI) - Multi-agent orchestration framework
+- [Strands Agents](https://github.com/strands-agents/sdk-python) - Model-driven agent building by AWS
+- [Cheshire Cat](https://github.com/cheshire-cat-ai/core) - AI assistant framework
+- [any-agent](https://github.com/mozilla-ai/any-agent) - Unified agent framework interface by Mozilla
+- [Stakpak](https://github.com/stakpak/agent) - Open source DevOps agent
+- [Hexabot](https://github.com/hexastack/hexabot) - Conversational AI builder
+- [Neuro SAN](https://github.com/cognizant-ai-lab/neuro-san-studio) - Multi-agent orchestration ([docs](https://github.com/cognizant-ai-lab/neuro-san-studio/blob/main/docs/user_guide.md#ollama))
+
+### RAG & Knowledge Bases
+
+- [RAGFlow](https://github.com/infiniflow/ragflow) - RAG engine based on deep document understanding
+- [R2R](https://github.com/SciPhi-AI/R2R) - Open-source RAG engine
+- [MaxKB](https://github.com/1Panel-dev/MaxKB/) - Ready-to-use RAG chatbot
+- [Minima](https://github.com/dmayboroda/minima) - On-premises or fully local RAG
+- [Chipper](https://github.com/TilmanGriesel/chipper) - AI interface with Haystack RAG
+- [ARGO](https://github.com/xark-argo/argo) - RAG and deep research on Mac/Windows/Linux
+- [Archyve](https://github.com/nickthecook/archyve) - RAG-enabling document library
+- [Casibase](https://casibase.org) - AI knowledge base with RAG and SSO
+- [BrainSoup](https://www.nurgo-software.com/products/brainsoup) - Native client with RAG and multi-agent automation
+
+### Bots & Messaging
+
+- [LangBot](https://github.com/RockChinQ/LangBot) - Multi-platform messaging bots with agents and RAG
+- [AstrBot](https://github.com/Soulter/AstrBot/) - Multi-platform chatbot with RAG and plugins
+- [Discord-Ollama Chat Bot](https://github.com/kevinthedang/discord-ollama) - TypeScript Discord bot
+- [Ollama Telegram Bot](https://github.com/ruecat/ollama-telegram) - Telegram bot
+- [LLM Telegram Bot](https://github.com/innightwolfsleep/llm_telegram_bot) - Telegram bot for roleplay
+
+### Terminal & CLI
+
+- [aichat](https://github.com/sigoden/aichat) - All-in-one LLM CLI with Shell Assistant, RAG, and AI tools
+- [oterm](https://github.com/ggozad/oterm) - Terminal client for Ollama
+- [gollama](https://github.com/sammcj/gollama) - Go-based model manager for Ollama
+- [tlm](https://github.com/yusufcanb/tlm) - Local shell copilot
+- [tenere](https://github.com/pythops/tenere) - TUI for LLMs
+- [ParLlama](https://github.com/paulrobello/parllama) - TUI for Ollama
+- [llm-ollama](https://github.com/taketwo/llm-ollama) - Plugin for [Datasette's LLM CLI](https://llm.datasette.io/en/stable/)
+- [ShellOracle](https://github.com/djcopley/ShellOracle) - Shell command suggestions
+- [LLM-X](https://github.com/mrdjohnson/llm-x) - Progressive web app for LLMs
+- [cmdh](https://github.com/pgibler/cmdh) - Natural language to shell commands
+- [VT](https://github.com/vinhnx/vt.ai) - Minimal multimodal AI chat app
+
+### Productivity & Apps
+
+- [AppFlowy](https://github.com/AppFlowy-IO/AppFlowy) - AI collaborative workspace, self-hostable Notion alternative
+- [Screenpipe](https://github.com/mediar-ai/screenpipe) - 24/7 screen and mic recording with AI-powered search
+- [Vibe](https://github.com/thewh1teagle/vibe) - Transcribe and analyze meetings
+- [Page Assist](https://github.com/n4ze3m/page-assist) - Chrome extension for AI-powered browsing
+- [NativeMind](https://github.com/NativeMindBrowser/NativeMindExtension) - Private, on-device browser AI assistant
+- [Ollama Fortress](https://github.com/ParisNeo/ollama_proxy_server) - Security proxy for Ollama
+- [1Panel](https://github.com/1Panel-dev/1Panel/) - Web-based Linux server management
+- [Writeopia](https://github.com/Writeopia/Writeopia) - Text editor with Ollama integration
+- [QA-Pilot](https://github.com/reid41/QA-Pilot) - GitHub code repository understanding
+- [Raycast extension](https://github.com/MassimilianoPasquini97/raycast_ollama) - Ollama in Raycast
+- [Painting Droid](https://github.com/mateuszmigas/painting-droid) - Painting app with AI integrations
+- [Serene Pub](https://github.com/doolijb/serene-pub) - AI roleplaying app
+- [Mayan EDMS](https://gitlab.com/mayan-edms/mayan-edms) - Document management with Ollama workflows
+- [TagSpaces](https://www.tagspaces.org) - File management with [AI tagging](https://docs.tagspaces.org/ai/)
+
+### Observability & Monitoring
+
+- [Opik](https://www.comet.com/docs/opik/cookbook/ollama) - Debug, evaluate, and monitor LLM applications
+- [OpenLIT](https://github.com/openlit/openlit) - OpenTelemetry-native monitoring for Ollama and GPUs
+- [Lunary](https://lunary.ai/docs/integrations/ollama) - LLM observability with analytics and PII masking
+- [Langfuse](https://langfuse.com/docs/integrations/ollama) - Open source LLM observability
+- [HoneyHive](https://docs.honeyhive.ai/integrations/ollama) - AI observability and evaluation for agents
+- [MLflow Tracing](https://mlflow.org/docs/latest/llms/tracing/index.html#automatic-tracing) - Open source LLM observability
+
+### Database & Embeddings
+
+- [pgai](https://github.com/timescale/pgai) - PostgreSQL as a vector database ([guide](https://github.com/timescale/pgai/blob/main/docs/vectorizer-quick-start.md))
+- [MindsDB](https://github.com/mindsdb/mindsdb/blob/staging/mindsdb/integrations/handlers/ollama_handler/README.md) - Connect Ollama with 200+ data platforms
+- [chromem-go](https://github.com/philippgille/chromem-go/blob/v0.5.0/embed_ollama.go) - Embeddable vector database for Go ([example](https://github.com/philippgille/chromem-go/tree/v0.5.0/examples/rag-wikipedia-ollama))
+- [Kangaroo](https://github.com/dbkangaroo/kangaroo) - AI-powered SQL client
+
+### Infrastructure & Deployment
+
+#### Cloud
 
 - [Google Cloud](https://cloud.google.com/run/docs/tutorials/gpu-gemma2-with-ollama)
 - [Fly.io](https://fly.io/docs/python/do-more/add-ollama/)
 - [Koyeb](https://www.koyeb.com/deploy/ollama)
+- [Harbor](https://github.com/av/harbor) - Containerized LLM toolkit with Ollama as default backend
 
-### Tutorial
-
-- [handy-ollama](https://github.com/datawhalechina/handy-ollama) (Chinese Tutorial for Ollama by [Datawhale ](https://github.com/datawhalechina) - China's Largest Open Source AI Learning Community)
-
-### Terminal
-
-- [oterm](https://github.com/ggozad/oterm)
-- [Ellama Emacs client](https://github.com/s-kostyaev/ellama)
-- [Emacs client](https://github.com/zweifisch/ollama)
-- [neollama](https://github.com/paradoxical-dev/neollama) UI client for interacting with models from within Neovim
-- [gen.nvim](https://github.com/David-Kunz/gen.nvim)
-- [ollama.nvim](https://github.com/nomnivore/ollama.nvim)
-- [ollero.nvim](https://github.com/marco-souza/ollero.nvim)
-- [ollama-chat.nvim](https://github.com/gerazov/ollama-chat.nvim)
-- [ogpt.nvim](https://github.com/huynle/ogpt.nvim)
-- [gptel Emacs client](https://github.com/karthink/gptel)
-- [Oatmeal](https://github.com/dustinblackman/oatmeal)
-- [cmdh](https://github.com/pgibler/cmdh)
-- [ooo](https://github.com/npahlfer/ooo)
-- [shell-pilot](https://github.com/reid41/shell-pilot)(Interact with models via pure shell scripts on Linux or macOS)
-- [tenere](https://github.com/pythops/tenere)
-- [llm-ollama](https://github.com/taketwo/llm-ollama) for [Datasette's LLM CLI](https://llm.datasette.io/en/stable/).
-- [typechat-cli](https://github.com/anaisbetts/typechat-cli)
-- [ShellOracle](https://github.com/djcopley/ShellOracle)
-- [tlm](https://github.com/yusufcanb/tlm)
-- [podman-ollama](https://github.com/ericcurtin/podman-ollama)
-- [gollama](https://github.com/sammcj/gollama)
-- [ParLlama](https://github.com/paulrobello/parllama)
-- [Ollama eBook Summary](https://github.com/cognitivetech/ollama-ebook-summary/)
-- [Ollama Mixture of Experts (MOE) in 50 lines of code](https://github.com/rapidarchitect/ollama_moe)
-- [vim-intelligence-bridge](https://github.com/pepo-ec/vim-intelligence-bridge) Simple interaction of "Ollama" with the Vim editor
-- [x-cmd ollama](https://x-cmd.com/mod/ollama)
-- [bb7](https://github.com/drunkwcodes/bb7)
-- [SwollamaCLI](https://github.com/marcusziade/Swollama) bundled with the Swollama Swift package. [Demo](https://github.com/marcusziade/Swollama?tab=readme-ov-file#cli-usage)
-- [aichat](https://github.com/sigoden/aichat) All-in-one LLM CLI tool featuring Shell Assistant, Chat-REPL, RAG, AI tools & agents, with access to OpenAI, Claude, Gemini, Ollama, Groq, and more.
-- [PowershAI](https://github.com/rrg92/powershai) PowerShell module that brings AI to terminal on Windows, including support for Ollama
-- [DeepShell](https://github.com/Abyss-c0re/deepshell) Your self-hosted AI assistant. Interactive Shell, Files and Folders analysis.
-- [orbiton](https://github.com/xyproto/orbiton) Configuration-free text editor and IDE with support for tab completion with Ollama.
-- [orca-cli](https://github.com/molbal/orca-cli) Ollama Registry CLI Application - Browse, pull, and download models from Ollama Registry in your terminal.
-- [GGUF-to-Ollama](https://github.com/jonathanhecl/gguf-to-ollama) - Importing GGUF to Ollama made easy (multiplatform)
-- [AWS-Strands-With-Ollama](https://github.com/rapidarchitect/ollama_strands) - AWS Strands Agents with Ollama Examples
-- [ollama-multirun](https://github.com/attogram/ollama-multirun) - A bash shell script to run a single prompt against any or all of your locally installed ollama models, saving the output and performance statistics as easily navigable web pages. ([Demo](https://attogram.github.io/ai_test_zone/))
-- [ollama-bash-toolshed](https://github.com/attogram/ollama-bash-toolshed) - Bash scripts to chat with tool using models. Add new tools to your shed with ease. Runs on Ollama.
-- [hle-eval-ollama](https://github.com/mags0ft/hle-eval-ollama) - Runs benchmarks like "Humanity's Last Exam" (HLE) on your favorite local Ollama models and evaluates the quality of their responses
-- [VT Code](https://github.com/vinhnx/vtcode) - VT Code is a Rust-based terminal coding agent with semantic code intelligence via Tree-sitter. Ollama integration for running local/cloud models with configurable endpoints.
-
-### Apple Vision Pro
-
-- [SwiftChat](https://github.com/aws-samples/swift-chat) (Cross-platform AI chat app supporting Apple Vision Pro via "Designed for iPad")
-- [Enchanted](https://github.com/AugustDev/enchanted)
-
-### Database
-
-- [pgai](https://github.com/timescale/pgai) - PostgreSQL as a vector database (Create and search embeddings from Ollama models using pgvector)
-  - [Get started guide](https://github.com/timescale/pgai/blob/main/docs/vectorizer-quick-start.md)
-- [MindsDB](https://github.com/mindsdb/mindsdb/blob/staging/mindsdb/integrations/handlers/ollama_handler/README.md) (Connects Ollama models with nearly 200 data platforms and apps)
-- [chromem-go](https://github.com/philippgille/chromem-go/blob/v0.5.0/embed_ollama.go) with [example](https://github.com/philippgille/chromem-go/tree/v0.5.0/examples/rag-wikipedia-ollama)
-- [Kangaroo](https://github.com/dbkangaroo/kangaroo) (AI-powered SQL client and admin tool for popular databases)
-
-### Package managers
+#### Package Managers
 
 - [Pacman](https://archlinux.org/packages/extra/x86_64/ollama/)
-- [Gentoo](https://github.com/gentoo/guru/tree/master/app-misc/ollama)
 - [Homebrew](https://formulae.brew.sh/formula/ollama)
-- [Helm Chart](https://artifacthub.io/packages/helm/ollama-helm/ollama)
-- [Guix channel](https://codeberg.org/tusharhero/ollama-guix)
 - [Nix package](https://search.nixos.org/packages?show=ollama&from=0&size=50&sort=relevance&type=packages&query=ollama)
+- [Helm Chart](https://artifacthub.io/packages/helm/ollama-helm/ollama)
+- [Gentoo](https://github.com/gentoo/guru/tree/master/app-misc/ollama)
 - [Flox](https://flox.dev/blog/ollama-part-one)
-
-### Libraries
-
-- [LangChain](https://python.langchain.com/docs/integrations/chat/ollama/) and [LangChain.js](https://js.langchain.com/docs/integrations/chat/ollama/) with [example](https://js.langchain.com/docs/tutorials/local_rag/)
-- [Firebase Genkit](https://firebase.google.com/docs/genkit/plugins/ollama)
-- [crewAI](https://github.com/crewAIInc/crewAI)
-- [Yacana](https://remembersoftwares.github.io/yacana/) (User-friendly multi-agent framework for brainstorming and executing predetermined flows with built-in tool integration)
-- [Strands Agents](https://github.com/strands-agents/sdk-python) (A model-driven approach to building AI agents in just a few lines of code)
-- [Spring AI](https://github.com/spring-projects/spring-ai) with [reference](https://docs.spring.io/spring-ai/reference/api/chat/ollama-chat.html) and [example](https://github.com/tzolov/ollama-tools)
-- [LangChainGo](https://github.com/tmc/langchaingo/) with [example](https://github.com/tmc/langchaingo/tree/main/examples/ollama-completion-example)
-- [LangChain4j](https://github.com/langchain4j/langchain4j) with [example](https://github.com/langchain4j/langchain4j-examples/tree/main/ollama-examples/src/main/java)
-- [LangChainRust](https://github.com/Abraxas-365/langchain-rust) with [example](https://github.com/Abraxas-365/langchain-rust/blob/main/examples/llm_ollama.rs)
-- [LangChain for .NET](https://github.com/tryAGI/LangChain) with [example](https://github.com/tryAGI/LangChain/blob/main/examples/LangChain.Samples.OpenAI/Program.cs)
-- [LLPhant](https://github.com/theodo-group/LLPhant?tab=readme-ov-file#ollama)
-- [LlamaIndex](https://docs.llamaindex.ai/en/stable/examples/llm/ollama/) and [LlamaIndexTS](https://ts.llamaindex.ai/modules/llms/available_llms/ollama)
-- [LiteLLM](https://github.com/BerriAI/litellm)
-- [OllamaFarm for Go](https://github.com/presbrey/ollamafarm)
-- [OllamaSharp for .NET](https://github.com/awaescher/OllamaSharp)
-- [Ollama for Ruby](https://github.com/crmne/ruby_llm)
-- [Ollama-rs for Rust](https://github.com/pepperoni21/ollama-rs)
-- [Ollama-hpp for C++](https://github.com/jmont-dev/ollama-hpp)
-- [Ollama4j for Java](https://github.com/ollama4j/ollama4j)
-- [ModelFusion Typescript Library](https://modelfusion.dev/integration/model-provider/ollama)
-- [OllamaKit for Swift](https://github.com/kevinhermawan/OllamaKit)
-- [Ollama for Dart](https://github.com/breitburg/dart-ollama)
-- [Ollama for Laravel](https://github.com/cloudstudio/ollama-laravel)
-- [LangChainDart](https://github.com/davidmigloz/langchain_dart)
-- [Semantic Kernel - Python](https://github.com/microsoft/semantic-kernel/tree/main/python/semantic_kernel/connectors/ai/ollama)
-- [Haystack](https://github.com/deepset-ai/haystack-integrations/blob/main/integrations/ollama.md)
-- [Elixir LangChain](https://github.com/brainlid/langchain)
-- [Ollama for R - rollama](https://github.com/JBGruber/rollama)
-- [Ollama for R - ollama-r](https://github.com/hauselin/ollama-r)
-- [Ollama-ex for Elixir](https://github.com/lebrunel/ollama-ex)
-- [Ollama Connector for SAP ABAP](https://github.com/b-tocs/abap_btocs_ollama)
-- [Testcontainers](https://testcontainers.com/modules/ollama/)
-- [Portkey](https://portkey.ai/docs/welcome/integration-guides/ollama)
-- [PromptingTools.jl](https://github.com/svilupp/PromptingTools.jl) with an [example](https://svilupp.github.io/PromptingTools.jl/dev/examples/working_with_ollama)
-- [LlamaScript](https://github.com/Project-Llama/llamascript)
-- [llm-axe](https://github.com/emirsahin1/llm-axe) (Python Toolkit for Building LLM Powered Apps)
-- [Gollm](https://docs.gollm.co/examples/ollama-example)
-- [Gollama for Golang](https://github.com/jonathanhecl/gollama)
-- [Ollamaclient for Golang](https://github.com/xyproto/ollamaclient)
-- [High-level function abstraction in Go](https://gitlab.com/tozd/go/fun)
-- [Ollama PHP](https://github.com/ArdaGnsrn/ollama-php)
-- [Agents-Flex for Java](https://github.com/agents-flex/agents-flex) with [example](https://github.com/agents-flex/agents-flex/tree/main/agents-flex-llm/agents-flex-llm-ollama/src/test/java/com/agentsflex/llm/ollama)
-- [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)
-- [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)
-- [LlmTornado](https://github.com/lofcz/llmtornado) (C# library providing a unified interface for major FOSS & Commercial inference APIs)
-- [Ollama for Zig](https://github.com/dravenk/ollama-zig)
-- [Abso](https://github.com/lunary-ai/abso) (OpenAI-compatible TypeScript SDK for any LLM provider)
-- [Nichey](https://github.com/goodreasonai/nichey) is a Python package for generating custom wikis for your research topic
-- [Ollama for D](https://github.com/kassane/ollama-d)
-- [OllamaPlusPlus](https://github.com/HardCodeDev777/OllamaPlusPlus) (Very simple C++ library for Ollama)
-- [any-llm](https://github.com/mozilla-ai/any-llm) (A single interface to use different llm providers by [mozilla.ai](https://www.mozilla.ai/))
-- [any-agent](https://github.com/mozilla-ai/any-agent) (A single interface to use and evaluate different agent frameworks by [mozilla.ai](https://www.mozilla.ai/))
-- [Neuro SAN](https://github.com/cognizant-ai-lab/neuro-san-studio) (Data-driven multi-agent orchestration framework) with [example](https://github.com/cognizant-ai-lab/neuro-san-studio/blob/main/docs/user_guide.md#ollama)
-- [achatbot-go](https://github.com/ai-bot-pro/achatbot-go) a multimodal(text/audio/image) chatbot.
-- [Ollama Bash Lib](https://github.com/attogram/ollama-bash-lib) - A Bash Library for Ollama. Run LLM prompts straight from your shell, and more
-
-### Mobile
-
-- [SwiftChat](https://github.com/aws-samples/swift-chat) (Lightning-fast Cross-platform AI chat app with native UI for Android, iOS, and iPad)
-- [Enchanted](https://github.com/AugustDev/enchanted)
-- [Maid](https://github.com/Mobile-Artificial-Intelligence/maid)
-- [Ollama App](https://github.com/JHubi1/ollama-app) (Modern and easy-to-use multi-platform client for Ollama)
-- [ConfiChat](https://github.com/1runeberg/confichat) (Lightweight, standalone, multi-platform, and privacy-focused LLM chat interface with optional encryption)
-- [Ollama Android Chat](https://github.com/sunshine0523/OllamaServer) (No need for Termux, start the Ollama service with one click on an Android device)
-- [Reins](https://github.com/ibrahimcetin/reins) (Easily tweak parameters, customize system prompts per chat, and enhance your AI experiments with reasoning model support.)
-
-### Extensions & Plugins
-
-- [Raycast extension](https://github.com/MassimilianoPasquini97/raycast_ollama)
-- [Discollama](https://github.com/mxyng/discollama) (Discord bot inside the Ollama discord channel)
-- [Continue](https://github.com/continuedev/continue)
-- [Vibe](https://github.com/thewh1teagle/vibe) (Transcribe and analyze meetings with Ollama)
-- [Obsidian Ollama plugin](https://github.com/hinterdupfinger/obsidian-ollama)
-- [Logseq Ollama plugin](https://github.com/omagdy7/ollama-logseq)
-- [NotesOllama](https://github.com/andersrex/notesollama) (Apple Notes Ollama plugin)
-- [Dagger Chatbot](https://github.com/samalba/dagger-chatbot)
-- [Discord AI Bot](https://github.com/mekb-turtle/discord-ai-bot)
-- [Ollama Telegram Bot](https://github.com/ruecat/ollama-telegram)
-- [Hass Ollama Conversation](https://github.com/ej52/hass-ollama-conversation)
-- [Rivet plugin](https://github.com/abrenneke/rivet-plugin-ollama)
-- [Obsidian BMO Chatbot plugin](https://github.com/longy2k/obsidian-bmo-chatbot)
-- [Cliobot](https://github.com/herval/cliobot) (Telegram bot with Ollama support)
-- [Copilot for Obsidian plugin](https://github.com/logancyang/obsidian-copilot)
-- [Obsidian Local GPT plugin](https://github.com/pfrankov/obsidian-local-gpt)
-- [Open Interpreter](https://docs.openinterpreter.com/language-model-setup/local-models/ollama)
-- [Llama Coder](https://github.com/ex3ndr/llama-coder) (Copilot alternative using Ollama)
-- [Ollama Copilot](https://github.com/bernardo-bruning/ollama-copilot) (Proxy that allows you to use Ollama as a copilot like GitHub Copilot)
-- [twinny](https://github.com/rjmacarthy/twinny) (Copilot and Copilot chat alternative using Ollama)
-- [Wingman-AI](https://github.com/RussellCanfield/wingman-ai) (Copilot code and chat alternative using Ollama and Hugging Face)
-- [Page Assist](https://github.com/n4ze3m/page-assist) (Chrome Extension)
-- [Plasmoid Ollama Control](https://github.com/imoize/plasmoid-ollamacontrol) (KDE Plasma extension that allows you to quickly manage/control Ollama model)
-- [AI Telegram Bot](https://github.com/tusharhero/aitelegrambot) (Telegram bot using Ollama in backend)
-- [AI ST Completion](https://github.com/yaroslavyaroslav/OpenAI-sublime-text) (Sublime Text 4 AI assistant plugin with Ollama support)
-- [Discord-Ollama Chat Bot](https://github.com/kevinthedang/discord-ollama) (Generalized TypeScript Discord Bot w/ Tuning Documentation)
-- [ChatGPTBox: All in one browser extension](https://github.com/josStorer/chatGPTBox) with [Integrating Tutorial](https://github.com/josStorer/chatGPTBox/issues/616#issuecomment-1975186467)
-- [Discord AI chat/moderation bot](https://github.com/rapmd73/Companion) Chat/moderation bot written in python. Uses Ollama to create personalities.
-- [Headless Ollama](https://github.com/nischalj10/headless-ollama) (Scripts to automatically install ollama client & models on any OS for apps that depend on ollama server)
-- [Terraform AWS Ollama & Open WebUI](https://github.com/xuyangbocn/terraform-aws-self-host-llm) (A Terraform module to deploy on AWS a ready-to-use Ollama service, together with its front-end Open WebUI service.)
-- [node-red-contrib-ollama](https://github.com/jakubburkiewicz/node-red-contrib-ollama)
-- [Local AI Helper](https://github.com/ivostoykov/localAI) (Chrome and Firefox extensions that enable interactions with the active tab and customisable API endpoints. Includes secure storage for user prompts.)
-- [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)
-- [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
-- [Simple-Discord-AI](https://github.com/zyphixor/simple-discord-ai)
-- [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)
-- [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)
-
-### Supported backends
-
-- [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.
-- [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)
+- [Guix channel](https://codeberg.org/tusharhero/ollama-guix)

anthropic/anthropic.go

@@ -1,17 +1,25 @@
 package anthropic
 
 import (
+	"bytes"
+	"context"
 	"crypto/rand"
 	"encoding/base64"
 	"encoding/json"
 	"errors"
 	"fmt"
+	"io"
 	"log/slog"
 	"net/http"
+	"net/url"
+	"strconv"
 	"strings"
 	"time"
 
 	"github.com/ollama/ollama/api"
+	"github.com/ollama/ollama/auth"
+	internalcloud "github.com/ollama/ollama/internal/cloud"
+	"github.com/ollama/ollama/logutil"
 )
 
 // Error types matching Anthropic API
@@ -82,22 +90,25 @@ type MessageParam struct {
 // 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
+	Type string `json:"type"` // text, image, tool_use, tool_result, thinking, server_tool_use, web_search_tool_result
 
 	// For text blocks - pointer so field only appears when set (SDK requires it for accumulation)
 	Text *string `json:"text,omitempty"`
 
+	// For text blocks with citations
+	Citations []Citation `json:"citations,omitempty"`
+
 	// For image blocks
 	Source *ImageSource `json:"source,omitempty"`
 
-	// For tool_use blocks
+	// For tool_use and server_tool_use blocks
 	ID    string `json:"id,omitempty"`
 	Name  string `json:"name,omitempty"`
 	Input any    `json:"input,omitempty"`
 
-	// For tool_result blocks
+	// For tool_result and web_search_tool_result blocks
 	ToolUseID string `json:"tool_use_id,omitempty"`
-	Content   any    `json:"content,omitempty"` // string or []ContentBlock
+	Content   any    `json:"content,omitempty"` // string, []ContentBlock, []WebSearchResult, or WebSearchToolResultError
 	IsError   bool   `json:"is_error,omitempty"`
 
 	// For thinking blocks - pointer so field only appears when set (SDK requires it for accumulation)
@@ -105,6 +116,30 @@ type ContentBlock struct {
 	Signature string  `json:"signature,omitempty"`
 }
 
+// Citation represents a citation in a text block
+type Citation struct {
+	Type           string `json:"type"` // "web_search_result_location"
+	URL            string `json:"url"`
+	Title          string `json:"title"`
+	EncryptedIndex string `json:"encrypted_index,omitempty"`
+	CitedText      string `json:"cited_text,omitempty"`
+}
+
+// WebSearchResult represents a single web search result
+type WebSearchResult struct {
+	Type             string `json:"type"` // "web_search_result"
+	URL              string `json:"url"`
+	Title            string `json:"title"`
+	EncryptedContent string `json:"encrypted_content,omitempty"`
+	PageAge          string `json:"page_age,omitempty"`
+}
+
+// WebSearchToolResultError represents an error from web search
+type WebSearchToolResultError struct {
+	Type      string `json:"type"` // "web_search_tool_result_error"
+	ErrorCode string `json:"error_code"`
+}
+
 // ImageSource represents the source of an image
 type ImageSource struct {
 	Type      string `json:"type"` // "base64" or "url"
@@ -115,10 +150,13 @@ type ImageSource struct {
 
 // Tool represents a tool definition
 type Tool struct {
-	Type        string          `json:"type,omitempty"` // "custom" for user-defined tools
+	Type        string          `json:"type,omitempty"` // "custom" for user-defined tools, or "web_search_20250305" for web search
 	Name        string          `json:"name"`
 	Description string          `json:"description,omitempty"`
 	InputSchema json.RawMessage `json:"input_schema,omitempty"`
+
+	// Web search specific fields
+	MaxUses int `json:"max_uses,omitempty"`
 }
 
 // ToolChoice controls how the model uses tools
@@ -233,6 +271,8 @@ type StreamErrorEvent struct {
 
 // FromMessagesRequest converts an Anthropic MessagesRequest to an Ollama api.ChatRequest
 func FromMessagesRequest(r MessagesRequest) (*api.ChatRequest, error) {
+	logutil.Trace("anthropic: converting request", "req", TraceMessagesRequest(r))
+
 	var messages []api.Message
 
 	if r.System != nil {
@@ -259,9 +299,10 @@ func FromMessagesRequest(r MessagesRequest) (*api.ChatRequest, error) {
 		}
 	}
 
-	for _, msg := range r.Messages {
+	for i, msg := range r.Messages {
 		converted, err := convertMessage(msg)
 		if err != nil {
+			logutil.Trace("anthropic: message conversion failed", "index", i, "role", msg.Role, "err", err)
 			return nil, err
 		}
 		messages = append(messages, converted...)
@@ -288,8 +329,24 @@ func FromMessagesRequest(r MessagesRequest) (*api.ChatRequest, error) {
 	}
 
 	var tools api.Tools
+	hasBuiltinWebSearch := false
 	for _, t := range r.Tools {
-		tool, err := convertTool(t)
+		if strings.HasPrefix(t.Type, "web_search") {
+			hasBuiltinWebSearch = true
+			break
+		}
+	}
+
+	for _, t := range r.Tools {
+		// Anthropic built-in web_search maps to Ollama function name "web_search".
+		// If a user-defined tool also uses that name in the same request, drop the
+		// user-defined one to avoid ambiguous tool-call routing.
+		if hasBuiltinWebSearch && !strings.HasPrefix(t.Type, "web_search") && t.Name == "web_search" {
+			logutil.Trace("anthropic: dropping colliding custom web_search tool", "tool", TraceTool(t))
+			continue
+		}
+
+		tool, _, err := convertTool(t)
 		if err != nil {
 			return nil, err
 		}
@@ -302,15 +359,17 @@ func FromMessagesRequest(r MessagesRequest) (*api.ChatRequest, error) {
 	}
 
 	stream := r.Stream
-
-	return &api.ChatRequest{
+	convertedRequest := &api.ChatRequest{
 		Model:    r.Model,
 		Messages: messages,
 		Options:  options,
 		Stream:   &stream,
 		Tools:    tools,
 		Think:    think,
-	}, nil
+	}
+	logutil.Trace("anthropic: converted request", "req", TraceChatRequest(convertedRequest))
+
+	return convertedRequest, nil
 }
 
 // convertMessage converts an Anthropic MessageParam to Ollama api.Message(s)
@@ -328,10 +387,19 @@ func convertMessage(msg MessageParam) ([]api.Message, error) {
 		var toolCalls []api.ToolCall
 		var thinking string
 		var toolResults []api.Message
+		textBlocks := 0
+		imageBlocks := 0
+		toolUseBlocks := 0
+		toolResultBlocks := 0
+		serverToolUseBlocks := 0
+		webSearchToolResultBlocks := 0
+		thinkingBlocks := 0
+		unknownBlocks := 0
 
 		for _, block := range content {
 			blockMap, ok := block.(map[string]any)
 			if !ok {
+				logutil.Trace("anthropic: invalid content block format", "role", role)
 				return nil, errors.New("invalid content block format")
 			}
 
@@ -339,13 +407,16 @@ func convertMessage(msg MessageParam) ([]api.Message, error) {
 
 			switch blockType {
 			case "text":
+				textBlocks++
 				if text, ok := blockMap["text"].(string); ok {
 					textContent.WriteString(text)
 				}
 
 			case "image":
+				imageBlocks++
 				source, ok := blockMap["source"].(map[string]any)
 				if !ok {
+					logutil.Trace("anthropic: invalid image source", "role", role)
 					return nil, errors.New("invalid image source")
 				}
 
@@ -354,21 +425,26 @@ func convertMessage(msg MessageParam) ([]api.Message, error) {
 					data, _ := source["data"].(string)
 					decoded, err := base64.StdEncoding.DecodeString(data)
 					if err != nil {
+						logutil.Trace("anthropic: invalid base64 image data", "role", role, "error", err)
 						return nil, fmt.Errorf("invalid base64 image data: %w", err)
 					}
 					images = append(images, decoded)
 				} else {
+					logutil.Trace("anthropic: unsupported image source type", "role", role, "source_type", sourceType)
 					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":
+				toolUseBlocks++
 				id, ok := blockMap["id"].(string)
 				if !ok {
+					logutil.Trace("anthropic: tool_use block missing id", "role", role)
 					return nil, errors.New("tool_use block missing required 'id' field")
 				}
 				name, ok := blockMap["name"].(string)
 				if !ok {
+					logutil.Trace("anthropic: tool_use block missing name", "role", role)
 					return nil, errors.New("tool_use block missing required 'name' field")
 				}
 				tc := api.ToolCall{
@@ -383,6 +459,7 @@ func convertMessage(msg MessageParam) ([]api.Message, error) {
 				toolCalls = append(toolCalls, tc)
 
 			case "tool_result":
+				toolResultBlocks++
 				toolUseID, _ := blockMap["tool_use_id"].(string)
 				var resultContent string
 
@@ -408,9 +485,36 @@ func convertMessage(msg MessageParam) ([]api.Message, error) {
 				})
 
 			case "thinking":
+				thinkingBlocks++
 				if t, ok := blockMap["thinking"].(string); ok {
 					thinking = t
 				}
+
+			case "server_tool_use":
+				serverToolUseBlocks++
+				id, _ := blockMap["id"].(string)
+				name, _ := blockMap["name"].(string)
+				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 "web_search_tool_result":
+				webSearchToolResultBlocks++
+				toolUseID, _ := blockMap["tool_use_id"].(string)
+				toolResults = append(toolResults, api.Message{
+					Role:       "tool",
+					Content:    formatWebSearchToolResultContent(blockMap["content"]),
+					ToolCallID: toolUseID,
+				})
+			default:
+				unknownBlocks++
 			}
 		}
 
@@ -427,6 +531,19 @@ func convertMessage(msg MessageParam) ([]api.Message, error) {
 
 		// Add tool results as separate messages
 		messages = append(messages, toolResults...)
+		logutil.Trace("anthropic: converted block message",
+			"role", role,
+			"blocks", len(content),
+			"text", textBlocks,
+			"image", imageBlocks,
+			"tool_use", toolUseBlocks,
+			"tool_result", toolResultBlocks,
+			"server_tool_use", serverToolUseBlocks,
+			"web_search_result", webSearchToolResultBlocks,
+			"thinking", thinkingBlocks,
+			"unknown", unknownBlocks,
+			"messages", TraceAPIMessages(messages),
+		)
 
 	default:
 		return nil, fmt.Errorf("invalid message content type: %T", content)
@@ -435,12 +552,94 @@ func convertMessage(msg MessageParam) ([]api.Message, error) {
 	return messages, nil
 }
 
-// convertTool converts an Anthropic Tool to an Ollama api.Tool
-func convertTool(t Tool) (api.Tool, error) {
+func formatWebSearchToolResultContent(content any) string {
+	switch c := content.(type) {
+	case string:
+		return c
+	case []WebSearchResult:
+		var resultContent strings.Builder
+		for _, item := range c {
+			if item.Type != "web_search_result" {
+				continue
+			}
+			fmt.Fprintf(&resultContent, "- %s: %s\n", item.Title, item.URL)
+		}
+		return resultContent.String()
+	case []any:
+		var resultContent strings.Builder
+		for _, item := range c {
+			itemMap, ok := item.(map[string]any)
+			if !ok {
+				continue
+			}
+			switch itemMap["type"] {
+			case "web_search_result":
+				title, _ := itemMap["title"].(string)
+				url, _ := itemMap["url"].(string)
+				fmt.Fprintf(&resultContent, "- %s: %s\n", title, url)
+			case "web_search_tool_result_error":
+				errorCode, _ := itemMap["error_code"].(string)
+				if errorCode == "" {
+					return "web_search_tool_result_error"
+				}
+				return "web_search_tool_result_error: " + errorCode
+			}
+		}
+		return resultContent.String()
+	case map[string]any:
+		if c["type"] == "web_search_tool_result_error" {
+			errorCode, _ := c["error_code"].(string)
+			if errorCode == "" {
+				return "web_search_tool_result_error"
+			}
+			return "web_search_tool_result_error: " + errorCode
+		}
+		data, err := json.Marshal(c)
+		if err != nil {
+			return ""
+		}
+		return string(data)
+	case WebSearchToolResultError:
+		if c.ErrorCode == "" {
+			return "web_search_tool_result_error"
+		}
+		return "web_search_tool_result_error: " + c.ErrorCode
+	default:
+		data, err := json.Marshal(c)
+		if err != nil {
+			return ""
+		}
+		return string(data)
+	}
+}
+
+// convertTool converts an Anthropic Tool to an Ollama api.Tool, returning true if it's a server tool
+func convertTool(t Tool) (api.Tool, bool, error) {
+	if strings.HasPrefix(t.Type, "web_search") {
+		props := api.NewToolPropertiesMap()
+		props.Set("query", api.ToolProperty{
+			Type:        api.PropertyType{"string"},
+			Description: "The search query to look up on the web",
+		})
+		return api.Tool{
+			Type: "function",
+			Function: api.ToolFunction{
+				Name:        "web_search",
+				Description: "Search the web for current information. Use this to find up-to-date information about any topic.",
+				Parameters: api.ToolFunctionParameters{
+					Type:       "object",
+					Required:   []string{"query"},
+					Properties: props,
+				},
+			},
+		}, true, nil
+	}
+
 	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)
+			logutil.Trace("anthropic: invalid tool schema", "tool", t.Name, "err", err)
+			return api.Tool{}, false, fmt.Errorf("invalid input_schema for tool %q: %w", t.Name, err)
 		}
 	}
 
@@ -451,7 +650,7 @@ func convertTool(t Tool) (api.Tool, error) {
 			Description: t.Description,
 			Parameters:  params,
 		},
-	}, nil
+	}, false, nil
 }
 
 // ToMessagesResponse converts an Ollama api.ChatResponse to an Anthropic MessagesResponse
@@ -897,11 +1096,115 @@ func countContentBlock(block any) int {
 		}
 	}
 
-	if source, ok := blockMap["source"].(map[string]any); ok {
-		if data, ok := source["data"].(string); ok {
-			total += len(data)
-		}
-	}
-
 	return total
 }
+
+// OllamaWebSearchRequest represents a request to the Ollama web search API
+type OllamaWebSearchRequest struct {
+	Query      string `json:"query"`
+	MaxResults int    `json:"max_results,omitempty"`
+}
+
+// OllamaWebSearchResult represents a single search result from Ollama API
+type OllamaWebSearchResult struct {
+	Title   string `json:"title"`
+	URL     string `json:"url"`
+	Content string `json:"content"`
+}
+
+// OllamaWebSearchResponse represents the response from the Ollama web search API
+type OllamaWebSearchResponse struct {
+	Results []OllamaWebSearchResult `json:"results"`
+}
+
+var WebSearchEndpoint = "https://ollama.com/api/web_search"
+
+func WebSearch(ctx context.Context, query string, maxResults int) (*OllamaWebSearchResponse, error) {
+	if internalcloud.Disabled() {
+		logutil.TraceContext(ctx, "anthropic: web search blocked", "reason", "cloud_disabled")
+		return nil, errors.New(internalcloud.DisabledError("web search is unavailable"))
+	}
+
+	if maxResults <= 0 {
+		maxResults = 5
+	}
+	if maxResults > 10 {
+		maxResults = 10
+	}
+
+	reqBody := OllamaWebSearchRequest{
+		Query:      query,
+		MaxResults: maxResults,
+	}
+
+	body, err := json.Marshal(reqBody)
+	if err != nil {
+		return nil, fmt.Errorf("failed to marshal web search request: %w", err)
+	}
+
+	searchURL, err := url.Parse(WebSearchEndpoint)
+	if err != nil {
+		return nil, fmt.Errorf("failed to parse web search URL: %w", err)
+	}
+	logutil.TraceContext(ctx, "anthropic: web search request",
+		"query", TraceTruncateString(query),
+		"max_results", maxResults,
+		"url", searchURL.String(),
+	)
+
+	q := searchURL.Query()
+	q.Set("ts", strconv.FormatInt(time.Now().Unix(), 10))
+	searchURL.RawQuery = q.Encode()
+
+	signature := ""
+	if strings.EqualFold(searchURL.Hostname(), "ollama.com") {
+		challenge := fmt.Sprintf("%s,%s", http.MethodPost, searchURL.RequestURI())
+		signature, err = auth.Sign(ctx, []byte(challenge))
+		if err != nil {
+			return nil, fmt.Errorf("failed to sign web search request: %w", err)
+		}
+	}
+	logutil.TraceContext(ctx, "anthropic: web search auth", "signed", signature != "")
+
+	req, err := http.NewRequestWithContext(ctx, "POST", searchURL.String(), bytes.NewReader(body))
+	if err != nil {
+		return nil, fmt.Errorf("failed to create web search request: %w", err)
+	}
+
+	req.Header.Set("Content-Type", "application/json")
+	if signature != "" {
+		req.Header.Set("Authorization", fmt.Sprintf("Bearer %s", signature))
+	}
+
+	resp, err := http.DefaultClient.Do(req)
+	if err != nil {
+		return nil, fmt.Errorf("web search request failed: %w", err)
+	}
+	defer resp.Body.Close()
+	logutil.TraceContext(ctx, "anthropic: web search response", "status", resp.StatusCode)
+
+	if resp.StatusCode != http.StatusOK {
+		respBody, _ := io.ReadAll(resp.Body)
+		return nil, fmt.Errorf("web search returned status %d: %s", resp.StatusCode, string(respBody))
+	}
+
+	var searchResp OllamaWebSearchResponse
+	if err := json.NewDecoder(resp.Body).Decode(&searchResp); err != nil {
+		return nil, fmt.Errorf("failed to decode web search response: %w", err)
+	}
+	logutil.TraceContext(ctx, "anthropic: web search results", "count", len(searchResp.Results))
+
+	return &searchResp, nil
+}
+
+func ConvertOllamaToAnthropicResults(ollamaResults *OllamaWebSearchResponse) []WebSearchResult {
+	var results []WebSearchResult
+	for _, r := range ollamaResults.Results {
+		results = append(results, WebSearchResult{
+			Type:  "web_search_result",
+			URL:   r.URL,
+			Title: r.Title,
+		})
+	}
+	return results
+}

anthropic/anthropic_test.go

@@ -3,6 +3,7 @@ package anthropic
 import (
 	"encoding/base64"
 	"encoding/json"
+	"strings"
 	"testing"
 
 	"github.com/google/go-cmp/cmp"
@@ -300,6 +301,78 @@ func TestFromMessagesRequest_WithTools(t *testing.T) {
 	}
 }
 
+func TestFromMessagesRequest_DropsCustomWebSearchWhenBuiltinPresent(t *testing.T) {
+	req := MessagesRequest{
+		Model:     "test-model",
+		MaxTokens: 1024,
+		Messages:  []MessageParam{{Role: "user", Content: "Hello"}},
+		Tools: []Tool{
+			{
+				Type: "web_search_20250305",
+				Name: "web_search",
+			},
+			{
+				Type:        "custom",
+				Name:        "web_search",
+				Description: "User-defined web search that should be dropped",
+				InputSchema: json.RawMessage(`{"type":"invalid"}`),
+			},
+			{
+				Type:        "custom",
+				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) != 2 {
+		t.Fatalf("expected 2 tools after dropping custom web_search, got %d", len(result.Tools))
+	}
+	if result.Tools[0].Function.Name != "web_search" {
+		t.Fatalf("expected first tool to be built-in web_search, got %q", result.Tools[0].Function.Name)
+	}
+	if result.Tools[1].Function.Name != "get_weather" {
+		t.Fatalf("expected second tool to be get_weather, got %q", result.Tools[1].Function.Name)
+	}
+}
+
+func TestFromMessagesRequest_KeepsCustomWebSearchWhenBuiltinAbsent(t *testing.T) {
+	req := MessagesRequest{
+		Model:     "test-model",
+		MaxTokens: 1024,
+		Messages:  []MessageParam{{Role: "user", Content: "Hello"}},
+		Tools: []Tool{
+			{
+				Type:        "custom",
+				Name:        "web_search",
+				Description: "User-defined web search",
+				InputSchema: json.RawMessage(`{"type":"object","properties":{"query":{"type":"string"}},"required":["query"]}`),
+			},
+		},
+	}
+
+	result, err := FromMessagesRequest(req)
+	if err != nil {
+		t.Fatalf("unexpected error: %v", err)
+	}
+
+	if len(result.Tools) != 1 {
+		t.Fatalf("expected 1 custom tool, got %d", len(result.Tools))
+	}
+	if result.Tools[0].Function.Name != "web_search" {
+		t.Fatalf("expected custom tool name web_search, got %q", result.Tools[0].Function.Name)
+	}
+	if result.Tools[0].Function.Description != "User-defined web search" {
+		t.Fatalf("expected custom description preserved, got %q", result.Tools[0].Function.Description)
+	}
+}
+
 func TestFromMessagesRequest_WithThinking(t *testing.T) {
 	req := MessagesRequest{
 		Model:     "test-model",
@@ -1063,3 +1136,320 @@ func TestEstimateTokens_EmptyContent(t *testing.T) {
 		t.Errorf("expected 0 tokens for empty content, got %d", tokens)
 	}
 }
+
+// Web Search Tests
+
+func TestConvertTool_WebSearch(t *testing.T) {
+	tool := Tool{
+		Type:    "web_search_20250305",
+		Name:    "web_search",
+		MaxUses: 5,
+	}
+
+	result, isServerTool, err := convertTool(tool)
+	if err != nil {
+		t.Fatalf("unexpected error: %v", err)
+	}
+
+	if !isServerTool {
+		t.Error("expected isServerTool to be true for web_search tool")
+	}
+
+	if result.Type != "function" {
+		t.Errorf("expected type 'function', got %q", result.Type)
+	}
+
+	if result.Function.Name != "web_search" {
+		t.Errorf("expected name 'web_search', got %q", result.Function.Name)
+	}
+
+	if result.Function.Description == "" {
+		t.Error("expected non-empty description for web_search tool")
+	}
+
+	// Check that query parameter is defined
+	if result.Function.Parameters.Properties == nil {
+		t.Fatal("expected properties to be defined")
+	}
+
+	queryProp, ok := result.Function.Parameters.Properties.Get("query")
+	if !ok {
+		t.Error("expected 'query' property to be defined")
+	}
+
+	if len(queryProp.Type) == 0 || queryProp.Type[0] != "string" {
+		t.Errorf("expected query type to be 'string', got %v", queryProp.Type)
+	}
+}
+
+func TestConvertTool_RegularTool(t *testing.T) {
+	tool := Tool{
+		Type:        "custom",
+		Name:        "get_weather",
+		Description: "Get the weather",
+		InputSchema: json.RawMessage(`{"type":"object","properties":{"location":{"type":"string"}}}`),
+	}
+
+	result, isServerTool, err := convertTool(tool)
+	if err != nil {
+		t.Fatalf("unexpected error: %v", err)
+	}
+
+	if isServerTool {
+		t.Error("expected isServerTool to be false for regular tool")
+	}
+
+	if result.Function.Name != "get_weather" {
+		t.Errorf("expected name 'get_weather', got %q", result.Function.Name)
+	}
+}
+
+func TestConvertMessage_ServerToolUse(t *testing.T) {
+	msg := MessageParam{
+		Role: "assistant",
+		Content: []any{
+			map[string]any{
+				"type":  "server_tool_use",
+				"id":    "srvtoolu_123",
+				"name":  "web_search",
+				"input": map[string]any{"query": "test query"},
+			},
+		},
+	}
+
+	messages, err := convertMessage(msg)
+	if err != nil {
+		t.Fatalf("unexpected error: %v", err)
+	}
+
+	if len(messages) != 1 {
+		t.Fatalf("expected 1 message, got %d", len(messages))
+	}
+
+	if len(messages[0].ToolCalls) != 1 {
+		t.Fatalf("expected 1 tool call, got %d", len(messages[0].ToolCalls))
+	}
+
+	tc := messages[0].ToolCalls[0]
+	if tc.ID != "srvtoolu_123" {
+		t.Errorf("expected tool call ID 'srvtoolu_123', got %q", tc.ID)
+	}
+
+	if tc.Function.Name != "web_search" {
+		t.Errorf("expected tool name 'web_search', got %q", tc.Function.Name)
+	}
+}
+
+func TestConvertMessage_WebSearchToolResult(t *testing.T) {
+	msg := MessageParam{
+		Role: "user",
+		Content: []any{
+			map[string]any{
+				"type":        "web_search_tool_result",
+				"tool_use_id": "srvtoolu_123",
+				"content": []any{
+					map[string]any{
+						"type":  "web_search_result",
+						"title": "Test Result",
+						"url":   "https://example.com",
+					},
+				},
+			},
+		},
+	}
+
+	messages, err := convertMessage(msg)
+	if err != nil {
+		t.Fatalf("unexpected error: %v", err)
+	}
+
+	// Should have a tool result message
+	if len(messages) != 1 {
+		t.Fatalf("expected 1 message, got %d", len(messages))
+	}
+
+	if messages[0].Role != "tool" {
+		t.Errorf("expected role 'tool', got %q", messages[0].Role)
+	}
+
+	if messages[0].ToolCallID != "srvtoolu_123" {
+		t.Errorf("expected tool_call_id 'srvtoolu_123', got %q", messages[0].ToolCallID)
+	}
+
+	if messages[0].Content == "" {
+		t.Error("expected non-empty content from web search results")
+	}
+}
+
+func TestConvertMessage_WebSearchToolResultEmptyStillCreatesToolMessage(t *testing.T) {
+	msg := MessageParam{
+		Role: "user",
+		Content: []any{
+			map[string]any{
+				"type":        "web_search_tool_result",
+				"tool_use_id": "srvtoolu_empty",
+				"content":     []any{},
+			},
+		},
+	}
+
+	messages, err := convertMessage(msg)
+	if err != nil {
+		t.Fatalf("unexpected error: %v", err)
+	}
+
+	if len(messages) != 1 {
+		t.Fatalf("expected 1 message, got %d", len(messages))
+	}
+	if messages[0].Role != "tool" {
+		t.Fatalf("expected role tool, got %q", messages[0].Role)
+	}
+	if messages[0].ToolCallID != "srvtoolu_empty" {
+		t.Fatalf("expected tool_call_id srvtoolu_empty, got %q", messages[0].ToolCallID)
+	}
+	if messages[0].Content != "" {
+		t.Fatalf("expected empty content for empty web search results, got %q", messages[0].Content)
+	}
+}
+
+func TestConvertMessage_WebSearchToolResultErrorStillCreatesToolMessage(t *testing.T) {
+	msg := MessageParam{
+		Role: "user",
+		Content: []any{
+			map[string]any{
+				"type":        "web_search_tool_result",
+				"tool_use_id": "srvtoolu_error",
+				"content": map[string]any{
+					"type":       "web_search_tool_result_error",
+					"error_code": "max_uses_exceeded",
+				},
+			},
+		},
+	}
+
+	messages, err := convertMessage(msg)
+	if err != nil {
+		t.Fatalf("unexpected error: %v", err)
+	}
+
+	if len(messages) != 1 {
+		t.Fatalf("expected 1 message, got %d", len(messages))
+	}
+	if messages[0].Role != "tool" {
+		t.Fatalf("expected role tool, got %q", messages[0].Role)
+	}
+	if messages[0].ToolCallID != "srvtoolu_error" {
+		t.Fatalf("expected tool_call_id srvtoolu_error, got %q", messages[0].ToolCallID)
+	}
+	if !strings.Contains(messages[0].Content, "max_uses_exceeded") {
+		t.Fatalf("expected error code in converted tool content, got %q", messages[0].Content)
+	}
+}
+
+func TestConvertOllamaToAnthropicResults(t *testing.T) {
+	ollamaResp := &OllamaWebSearchResponse{
+		Results: []OllamaWebSearchResult{
+			{
+				Title:   "Test Title",
+				URL:     "https://example.com",
+				Content: "Test content",
+			},
+			{
+				Title:   "Another Result",
+				URL:     "https://example.org",
+				Content: "More content",
+			},
+		},
+	}
+
+	results := ConvertOllamaToAnthropicResults(ollamaResp)
+
+	if len(results) != 2 {
+		t.Fatalf("expected 2 results, got %d", len(results))
+	}
+
+	if results[0].Type != "web_search_result" {
+		t.Errorf("expected type 'web_search_result', got %q", results[0].Type)
+	}
+
+	if results[0].Title != "Test Title" {
+		t.Errorf("expected title 'Test Title', got %q", results[0].Title)
+	}
+
+	if results[0].URL != "https://example.com" {
+		t.Errorf("expected URL 'https://example.com', got %q", results[0].URL)
+	}
+}
+
+func TestWebSearchTypes(t *testing.T) {
+	// Test that WebSearchResult serializes correctly
+	result := WebSearchResult{
+		Type:             "web_search_result",
+		URL:              "https://example.com",
+		Title:            "Test",
+		EncryptedContent: "abc123",
+		PageAge:          "2025-01-01",
+	}
+
+	data, err := json.Marshal(result)
+	if err != nil {
+		t.Fatalf("failed to marshal WebSearchResult: %v", err)
+	}
+
+	var unmarshaled WebSearchResult
+	if err := json.Unmarshal(data, &unmarshaled); err != nil {
+		t.Fatalf("failed to unmarshal WebSearchResult: %v", err)
+	}
+
+	if unmarshaled.Type != result.Type {
+		t.Errorf("type mismatch: expected %q, got %q", result.Type, unmarshaled.Type)
+	}
+
+	// Test WebSearchToolResultError
+	errResult := WebSearchToolResultError{
+		Type:      "web_search_tool_result_error",
+		ErrorCode: "max_uses_exceeded",
+	}
+
+	data, err = json.Marshal(errResult)
+	if err != nil {
+		t.Fatalf("failed to marshal WebSearchToolResultError: %v", err)
+	}
+
+	var unmarshaledErr WebSearchToolResultError
+	if err := json.Unmarshal(data, &unmarshaledErr); err != nil {
+		t.Fatalf("failed to unmarshal WebSearchToolResultError: %v", err)
+	}
+
+	if unmarshaledErr.ErrorCode != "max_uses_exceeded" {
+		t.Errorf("error_code mismatch: expected 'max_uses_exceeded', got %q", unmarshaledErr.ErrorCode)
+	}
+}
+
+func TestCitation(t *testing.T) {
+	citation := Citation{
+		Type:           "web_search_result_location",
+		URL:            "https://example.com",
+		Title:          "Example",
+		EncryptedIndex: "enc123",
+		CitedText:      "Some cited text...",
+	}
+
+	data, err := json.Marshal(citation)
+	if err != nil {
+		t.Fatalf("failed to marshal Citation: %v", err)
+	}
+
+	var unmarshaled Citation
+	if err := json.Unmarshal(data, &unmarshaled); err != nil {
+		t.Fatalf("failed to unmarshal Citation: %v", err)
+	}
+
+	if unmarshaled.Type != "web_search_result_location" {
+		t.Errorf("type mismatch: expected 'web_search_result_location', got %q", unmarshaled.Type)
+	}
+
+	if unmarshaled.CitedText != "Some cited text..." {
+		t.Errorf("cited_text mismatch: expected 'Some cited text...', got %q", unmarshaled.CitedText)
+	}
+}

anthropic/trace.go

@@ -0,0 +1,352 @@
+package anthropic
+
+import (
+	"encoding/json"
+	"fmt"
+	"sort"
+
+	"github.com/ollama/ollama/api"
+)
+
+// Trace truncation limits.
+const (
+	TraceMaxStringRunes = 240
+	TraceMaxSliceItems  = 8
+	TraceMaxMapEntries  = 16
+	TraceMaxDepth       = 4
+)
+
+// TraceTruncateString shortens s to TraceMaxStringRunes, appending a count of
+// omitted characters when truncated.
+func TraceTruncateString(s string) string {
+	if len(s) == 0 {
+		return s
+	}
+	runes := []rune(s)
+	if len(runes) <= TraceMaxStringRunes {
+		return s
+	}
+	return fmt.Sprintf("%s...(+%d chars)", string(runes[:TraceMaxStringRunes]), len(runes)-TraceMaxStringRunes)
+}
+
+// TraceJSON round-trips v through JSON and returns a compacted representation.
+func TraceJSON(v any) any {
+	if v == nil {
+		return nil
+	}
+	data, err := json.Marshal(v)
+	if err != nil {
+		return map[string]any{"marshal_error": err.Error(), "type": fmt.Sprintf("%T", v)}
+	}
+	var out any
+	if err := json.Unmarshal(data, &out); err != nil {
+		return TraceTruncateString(string(data))
+	}
+	return TraceCompactValue(out, 0)
+}
+
+// TraceCompactValue recursively truncates strings, slices, and maps for trace
+// output. depth tracks recursion to enforce TraceMaxDepth.
+func TraceCompactValue(v any, depth int) any {
+	if v == nil {
+		return nil
+	}
+	if depth >= TraceMaxDepth {
+		switch t := v.(type) {
+		case string:
+			return TraceTruncateString(t)
+		case []any:
+			return fmt.Sprintf("<array len=%d>", len(t))
+		case map[string]any:
+			return fmt.Sprintf("<object keys=%d>", len(t))
+		default:
+			return fmt.Sprintf("<%T>", v)
+		}
+	}
+	switch t := v.(type) {
+	case string:
+		return TraceTruncateString(t)
+	case []any:
+		limit := min(len(t), TraceMaxSliceItems)
+		out := make([]any, 0, limit+1)
+		for i := range limit {
+			out = append(out, TraceCompactValue(t[i], depth+1))
+		}
+		if len(t) > limit {
+			out = append(out, fmt.Sprintf("... +%d more items", len(t)-limit))
+		}
+		return out
+	case map[string]any:
+		keys := make([]string, 0, len(t))
+		for k := range t {
+			keys = append(keys, k)
+		}
+		sort.Strings(keys)
+		limit := min(len(keys), TraceMaxMapEntries)
+		out := make(map[string]any, limit+1)
+		for i := range limit {
+			out[keys[i]] = TraceCompactValue(t[keys[i]], depth+1)
+		}
+		if len(keys) > limit {
+			out["__truncated_keys"] = len(keys) - limit
+		}
+		return out
+	default:
+		return t
+	}
+}
+
+// ---------------------------------------------------------------------------
+// Anthropic request/response tracing
+// ---------------------------------------------------------------------------
+
+// TraceMessagesRequest returns a compact trace representation of a MessagesRequest.
+func TraceMessagesRequest(r MessagesRequest) map[string]any {
+	return map[string]any{
+		"model":          r.Model,
+		"max_tokens":     r.MaxTokens,
+		"messages":       traceMessageParams(r.Messages),
+		"system":         traceAnthropicContent(r.System),
+		"stream":         r.Stream,
+		"tools":          traceTools(r.Tools),
+		"tool_choice":    TraceJSON(r.ToolChoice),
+		"thinking":       TraceJSON(r.Thinking),
+		"stop_sequences": r.StopSequences,
+		"temperature":    ptrVal(r.Temperature),
+		"top_p":          ptrVal(r.TopP),
+		"top_k":          ptrVal(r.TopK),
+	}
+}
+
+// TraceMessagesResponse returns a compact trace representation of a MessagesResponse.
+func TraceMessagesResponse(r MessagesResponse) map[string]any {
+	return map[string]any{
+		"id":          r.ID,
+		"model":       r.Model,
+		"content":     TraceJSON(r.Content),
+		"stop_reason": r.StopReason,
+		"usage":       r.Usage,
+	}
+}
+
+func traceMessageParams(msgs []MessageParam) []map[string]any {
+	out := make([]map[string]any, 0, len(msgs))
+	for _, m := range msgs {
+		out = append(out, map[string]any{
+			"role":    m.Role,
+			"content": traceAnthropicContent(m.Content),
+		})
+	}
+	return out
+}
+
+func traceAnthropicContent(content any) any {
+	switch c := content.(type) {
+	case nil:
+		return nil
+	case string:
+		return TraceTruncateString(c)
+	case []any:
+		blocks := make([]any, 0, len(c))
+		for _, block := range c {
+			blockMap, ok := block.(map[string]any)
+			if !ok {
+				blocks = append(blocks, TraceCompactValue(block, 0))
+				continue
+			}
+			blocks = append(blocks, traceAnthropicBlock(blockMap))
+		}
+		return blocks
+	default:
+		return TraceJSON(c)
+	}
+}
+
+func traceAnthropicBlock(block map[string]any) map[string]any {
+	blockType, _ := block["type"].(string)
+	out := map[string]any{"type": blockType}
+	switch blockType {
+	case "text":
+		if text, ok := block["text"].(string); ok {
+			out["text"] = TraceTruncateString(text)
+		} else {
+			out["text"] = TraceCompactValue(block["text"], 0)
+		}
+	case "thinking":
+		if thinking, ok := block["thinking"].(string); ok {
+			out["thinking"] = TraceTruncateString(thinking)
+		} else {
+			out["thinking"] = TraceCompactValue(block["thinking"], 0)
+		}
+	case "tool_use", "server_tool_use":
+		out["id"] = block["id"]
+		out["name"] = block["name"]
+		out["input"] = TraceCompactValue(block["input"], 0)
+	case "tool_result", "web_search_tool_result":
+		out["tool_use_id"] = block["tool_use_id"]
+		out["content"] = TraceCompactValue(block["content"], 0)
+	case "image":
+		if source, ok := block["source"].(map[string]any); ok {
+			out["source"] = map[string]any{
+				"type":       source["type"],
+				"media_type": source["media_type"],
+				"url":        source["url"],
+				"data_len":   len(fmt.Sprint(source["data"])),
+			}
+		}
+	default:
+		out["block"] = TraceCompactValue(block, 0)
+	}
+	return out
+}
+
+func traceTools(tools []Tool) []map[string]any {
+	out := make([]map[string]any, 0, len(tools))
+	for _, t := range tools {
+		out = append(out, TraceTool(t))
+	}
+	return out
+}
+
+// TraceTool returns a compact trace representation of an Anthropic Tool.
+func TraceTool(t Tool) map[string]any {
+	return map[string]any{
+		"type":         t.Type,
+		"name":         t.Name,
+		"description":  TraceTruncateString(t.Description),
+		"input_schema": TraceJSON(t.InputSchema),
+		"max_uses":     t.MaxUses,
+	}
+}
+
+// ContentBlockTypes returns the type strings from content (when it's []any blocks).
+func ContentBlockTypes(content any) []string {
+	blocks, ok := content.([]any)
+	if !ok {
+		return nil
+	}
+	types := make([]string, 0, len(blocks))
+	for _, block := range blocks {
+		blockMap, ok := block.(map[string]any)
+		if !ok {
+			types = append(types, fmt.Sprintf("%T", block))
+			continue
+		}
+		t, _ := blockMap["type"].(string)
+		types = append(types, t)
+	}
+	return types
+}
+
+func ptrVal[T any](v *T) any {
+	if v == nil {
+		return nil
+	}
+	return *v
+}
+
+// ---------------------------------------------------------------------------
+// Ollama api.* tracing (shared between anthropic and middleware packages)
+// ---------------------------------------------------------------------------
+
+// TraceChatRequest returns a compact trace representation of an Ollama ChatRequest.
+func TraceChatRequest(req *api.ChatRequest) map[string]any {
+	if req == nil {
+		return nil
+	}
+	stream := false
+	if req.Stream != nil {
+		stream = *req.Stream
+	}
+	return map[string]any{
+		"model":    req.Model,
+		"messages": TraceAPIMessages(req.Messages),
+		"tools":    TraceAPITools(req.Tools),
+		"stream":   stream,
+		"options":  req.Options,
+		"think":    TraceJSON(req.Think),
+	}
+}
+
+// TraceChatResponse returns a compact trace representation of an Ollama ChatResponse.
+func TraceChatResponse(resp api.ChatResponse) map[string]any {
+	return map[string]any{
+		"model":       resp.Model,
+		"done":        resp.Done,
+		"done_reason": resp.DoneReason,
+		"message":     TraceAPIMessage(resp.Message),
+		"metrics":     TraceJSON(resp.Metrics),
+	}
+}
+
+// TraceAPIMessages returns compact trace representations for a slice of api.Message.
+func TraceAPIMessages(msgs []api.Message) []map[string]any {
+	out := make([]map[string]any, 0, len(msgs))
+	for _, m := range msgs {
+		out = append(out, TraceAPIMessage(m))
+	}
+	return out
+}
+
+// TraceAPIMessage returns a compact trace representation of a single api.Message.
+func TraceAPIMessage(m api.Message) map[string]any {
+	return map[string]any{
+		"role":         m.Role,
+		"content":      TraceTruncateString(m.Content),
+		"thinking":     TraceTruncateString(m.Thinking),
+		"images":       traceImageSizes(m.Images),
+		"tool_calls":   traceToolCalls(m.ToolCalls),
+		"tool_name":    m.ToolName,
+		"tool_call_id": m.ToolCallID,
+	}
+}
+
+func traceImageSizes(images []api.ImageData) []int {
+	if len(images) == 0 {
+		return nil
+	}
+	sizes := make([]int, 0, len(images))
+	for _, img := range images {
+		sizes = append(sizes, len(img))
+	}
+	return sizes
+}
+
+// TraceAPITools returns compact trace representations for a slice of api.Tool.
+func TraceAPITools(tools api.Tools) []map[string]any {
+	out := make([]map[string]any, 0, len(tools))
+	for _, t := range tools {
+		out = append(out, TraceAPITool(t))
+	}
+	return out
+}
+
+// TraceAPITool returns a compact trace representation of a single api.Tool.
+func TraceAPITool(t api.Tool) map[string]any {
+	return map[string]any{
+		"type":        t.Type,
+		"name":        t.Function.Name,
+		"description": TraceTruncateString(t.Function.Description),
+		"parameters":  TraceJSON(t.Function.Parameters),
+	}
+}
+
+// TraceToolCall returns a compact trace representation of an api.ToolCall.
+func TraceToolCall(tc api.ToolCall) map[string]any {
+	return map[string]any{
+		"id":   tc.ID,
+		"name": tc.Function.Name,
+		"args": TraceJSON(tc.Function.Arguments),
+	}
+}
+
+func traceToolCalls(tcs []api.ToolCall) []map[string]any {
+	if len(tcs) == 0 {
+		return nil
+	}
+	out := make([]map[string]any, 0, len(tcs))
+	for _, tc := range tcs {
+		out = append(out, TraceToolCall(tc))
+	}
+	return out
+}

api/client.go

@@ -449,6 +449,16 @@ func (c *Client) Version(ctx context.Context) (string, error) {
 	return version.Version, nil
 }
 
+// CloudStatusExperimental returns whether cloud features are disabled on the server.
+func (c *Client) CloudStatusExperimental(ctx context.Context) (*StatusResponse, error) {
+	var status StatusResponse
+	if err := c.do(ctx, http.MethodGet, "/api/status", nil, &status); err != nil {
+		return nil, err
+	}
+
+	return &status, nil
+}
+
 // Signout will signout a client for a local ollama server.
 func (c *Client) Signout(ctx context.Context) error {
 	return c.do(ctx, http.MethodPost, "/api/signout", nil, nil)

api/types.go

@@ -834,6 +834,16 @@ type TokenResponse struct {
 	Token string `json:"token"`
 }
 
+type CloudStatus struct {
+	Disabled bool   `json:"disabled"`
+	Source   string `json:"source"`
+}
+
+// StatusResponse is the response from [Client.CloudStatusExperimental].
+type StatusResponse struct {
+	Cloud CloudStatus `json:"cloud"`
+}
+
 // GenerateResponse is the response passed into [GenerateResponseFunc].
 type GenerateResponse struct {
 	// Model is the model name that generated the response.

app/server/server.go

@@ -205,6 +205,11 @@ func (s *Server) cmd(ctx context.Context) (*exec.Cmd, error) {
 		return nil, err
 	}
 
+	cloudDisabled, err := s.store.CloudDisabled()
+	if err != nil {
+		return nil, err
+	}
+
 	cmd := commandContext(ctx, s.bin, "serve")
 	cmd.Stdout, cmd.Stderr = s.log, s.log
 
@@ -230,6 +235,11 @@ func (s *Server) cmd(ctx context.Context) (*exec.Cmd, error) {
 	if settings.ContextLength > 0 {
 		env["OLLAMA_CONTEXT_LENGTH"] = strconv.Itoa(settings.ContextLength)
 	}
+	if cloudDisabled {
+		env["OLLAMA_NO_CLOUD"] = "1"
+	} else {
+		env["OLLAMA_NO_CLOUD"] = "0"
+	}
 	cmd.Env = []string{}
 	for k, v := range env {
 		cmd.Env = append(cmd.Env, k+"="+v)

app/server/server_test.go

@@ -111,7 +111,7 @@ func TestServerCmd(t *testing.T) {
 			for _, want := range tt.want {
 				found := false
 				for _, env := range cmd.Env {
-					if strings.Contains(env, want) {
+					if strings.HasPrefix(env, want) {
 						found = true
 						break
 					}
@@ -123,7 +123,7 @@ func TestServerCmd(t *testing.T) {
 
 			for _, dont := range tt.dont {
 				for _, env := range cmd.Env {
-					if strings.Contains(env, dont) {
+					if strings.HasPrefix(env, dont) {
 						t.Errorf("unexpected environment variable: %s", env)
 					}
 				}
@@ -136,6 +136,75 @@ func TestServerCmd(t *testing.T) {
 	}
 }
 
+func TestServerCmdCloudSettingEnv(t *testing.T) {
+	tests := []struct {
+		name          string
+		envValue      string
+		configContent string
+		want          string
+	}{
+		{
+			name: "default cloud enabled",
+			want: "OLLAMA_NO_CLOUD=0",
+		},
+		{
+			name:     "env disables cloud",
+			envValue: "1",
+			want:     "OLLAMA_NO_CLOUD=1",
+		},
+		{
+			name:          "config disables cloud",
+			configContent: `{"disable_ollama_cloud": true}`,
+			want:          "OLLAMA_NO_CLOUD=1",
+		},
+		{
+			name:     "invalid env disables cloud",
+			envValue: "invalid",
+			want:     "OLLAMA_NO_CLOUD=1",
+		},
+	}
+
+	for _, tt := range tests {
+		t.Run(tt.name, func(t *testing.T) {
+			tmpHome := t.TempDir()
+			t.Setenv("HOME", tmpHome)
+			t.Setenv("USERPROFILE", tmpHome)
+			t.Setenv("OLLAMA_NO_CLOUD", tt.envValue)
+
+			if tt.configContent != "" {
+				configDir := filepath.Join(tmpHome, ".ollama")
+				if err := os.MkdirAll(configDir, 0o755); err != nil {
+					t.Fatalf("mkdir config dir: %v", err)
+				}
+				configPath := filepath.Join(configDir, "server.json")
+				if err := os.WriteFile(configPath, []byte(tt.configContent), 0o644); err != nil {
+					t.Fatalf("write config: %v", err)
+				}
+			}
+
+			st := &store.Store{DBPath: filepath.Join(t.TempDir(), "db.sqlite")}
+			defer st.Close()
+
+			s := &Server{store: st}
+			cmd, err := s.cmd(t.Context())
+			if err != nil {
+				t.Fatalf("s.cmd() error = %v", err)
+			}
+
+			found := false
+			for _, env := range cmd.Env {
+				if env == tt.want {
+					found = true
+					break
+				}
+			}
+			if !found {
+				t.Fatalf("expected environment variable %q in command env", tt.want)
+			}
+		})
+	}
+}
+
 func TestGetInferenceComputer(t *testing.T) {
 	tests := []struct {
 		name string

app/store/cloud_config.go

@@ -0,0 +1,128 @@
+//go:build windows || darwin
+
+package store
+
+import (
+	"encoding/json"
+	"errors"
+	"fmt"
+	"os"
+	"path/filepath"
+
+	"github.com/ollama/ollama/envconfig"
+)
+
+const serverConfigFilename = "server.json"
+
+type serverConfig struct {
+	DisableOllamaCloud bool `json:"disable_ollama_cloud,omitempty"`
+}
+
+// CloudDisabled returns whether cloud features should be disabled.
+// The source of truth is: OLLAMA_NO_CLOUD OR ~/.ollama/server.json:disable_ollama_cloud.
+func (s *Store) CloudDisabled() (bool, error) {
+	disabled, _, err := s.CloudStatus()
+	return disabled, err
+}
+
+// CloudStatus returns whether cloud is disabled and the source of that decision.
+// Source is one of: "none", "env", "config", "both".
+func (s *Store) CloudStatus() (bool, string, error) {
+	if err := s.ensureDB(); err != nil {
+		return false, "", err
+	}
+
+	configDisabled, err := readServerConfigCloudDisabled()
+	if err != nil {
+		return false, "", err
+	}
+
+	envDisabled := envconfig.NoCloudEnv()
+	return envDisabled || configDisabled, cloudStatusSource(envDisabled, configDisabled), nil
+}
+
+// SetCloudEnabled writes the cloud setting to ~/.ollama/server.json.
+func (s *Store) SetCloudEnabled(enabled bool) error {
+	if err := s.ensureDB(); err != nil {
+		return err
+	}
+	return setCloudEnabled(enabled)
+}
+
+func setCloudEnabled(enabled bool) error {
+	configPath, err := serverConfigPath()
+	if err != nil {
+		return err
+	}
+
+	if err := os.MkdirAll(filepath.Dir(configPath), 0o755); err != nil {
+		return fmt.Errorf("create server config directory: %w", err)
+	}
+
+	configMap := map[string]any{}
+	if data, err := os.ReadFile(configPath); err == nil {
+		if err := json.Unmarshal(data, &configMap); err != nil {
+			// If the existing file is invalid JSON, overwrite with a fresh object.
+			configMap = map[string]any{}
+		}
+	} else if !errors.Is(err, os.ErrNotExist) {
+		return fmt.Errorf("read server config: %w", err)
+	}
+
+	configMap["disable_ollama_cloud"] = !enabled
+
+	data, err := json.MarshalIndent(configMap, "", "  ")
+	if err != nil {
+		return fmt.Errorf("marshal server config: %w", err)
+	}
+	data = append(data, '\n')
+
+	if err := os.WriteFile(configPath, data, 0o644); err != nil {
+		return fmt.Errorf("write server config: %w", err)
+	}
+
+	return nil
+}
+
+func readServerConfigCloudDisabled() (bool, error) {
+	configPath, err := serverConfigPath()
+	if err != nil {
+		return false, err
+	}
+
+	data, err := os.ReadFile(configPath)
+	if err != nil {
+		if errors.Is(err, os.ErrNotExist) {
+			return false, nil
+		}
+		return false, fmt.Errorf("read server config: %w", err)
+	}
+
+	var cfg serverConfig
+	// Invalid or unexpected JSON should not block startup; treat as default.
+	if json.Unmarshal(data, &cfg) == nil {
+		return cfg.DisableOllamaCloud, nil
+	}
+	return false, nil
+}
+
+func serverConfigPath() (string, error) {
+	home, err := os.UserHomeDir()
+	if err != nil {
+		return "", fmt.Errorf("resolve home directory: %w", err)
+	}
+	return filepath.Join(home, ".ollama", serverConfigFilename), nil
+}
+
+func cloudStatusSource(envDisabled bool, configDisabled bool) string {
+	switch {
+	case envDisabled && configDisabled:
+		return "both"
+	case envDisabled:
+		return "env"
+	case configDisabled:
+		return "config"
+	default:
+		return "none"
+	}
+}

app/store/cloud_config_test.go

@@ -0,0 +1,130 @@
+//go:build windows || darwin
+
+package store
+
+import (
+	"encoding/json"
+	"os"
+	"path/filepath"
+	"testing"
+)
+
+func TestCloudDisabled(t *testing.T) {
+	tests := []struct {
+		name          string
+		envValue      string
+		configContent string
+		wantDisabled  bool
+		wantSource    string
+	}{
+		{
+			name:         "default enabled",
+			wantDisabled: false,
+			wantSource:   "none",
+		},
+		{
+			name:         "env disables cloud",
+			envValue:     "1",
+			wantDisabled: true,
+			wantSource:   "env",
+		},
+		{
+			name:          "config disables cloud",
+			configContent: `{"disable_ollama_cloud": true}`,
+			wantDisabled:  true,
+			wantSource:    "config",
+		},
+		{
+			name:          "env and config",
+			envValue:      "1",
+			configContent: `{"disable_ollama_cloud": false}`,
+			wantDisabled:  true,
+			wantSource:    "env",
+		},
+		{
+			name:          "invalid config is ignored",
+			configContent: `{bad`,
+			wantDisabled:  false,
+			wantSource:    "none",
+		},
+	}
+
+	for _, tt := range tests {
+		t.Run(tt.name, func(t *testing.T) {
+			tmpHome := t.TempDir()
+			setTestHome(t, tmpHome)
+			t.Setenv("OLLAMA_NO_CLOUD", tt.envValue)
+
+			if tt.configContent != "" {
+				configDir := filepath.Join(tmpHome, ".ollama")
+				if err := os.MkdirAll(configDir, 0o755); err != nil {
+					t.Fatalf("mkdir config dir: %v", err)
+				}
+				configPath := filepath.Join(configDir, serverConfigFilename)
+				if err := os.WriteFile(configPath, []byte(tt.configContent), 0o644); err != nil {
+					t.Fatalf("write config: %v", err)
+				}
+			}
+
+			s := &Store{DBPath: filepath.Join(tmpHome, "db.sqlite")}
+			defer s.Close()
+
+			disabled, err := s.CloudDisabled()
+			if err != nil {
+				t.Fatalf("CloudDisabled() error = %v", err)
+			}
+			if disabled != tt.wantDisabled {
+				t.Fatalf("CloudDisabled() = %v, want %v", disabled, tt.wantDisabled)
+			}
+
+			statusDisabled, source, err := s.CloudStatus()
+			if err != nil {
+				t.Fatalf("CloudStatus() error = %v", err)
+			}
+			if statusDisabled != tt.wantDisabled {
+				t.Fatalf("CloudStatus() disabled = %v, want %v", statusDisabled, tt.wantDisabled)
+			}
+			if source != tt.wantSource {
+				t.Fatalf("CloudStatus() source = %v, want %v", source, tt.wantSource)
+			}
+		})
+	}
+}
+
+func TestSetCloudEnabled(t *testing.T) {
+	tmpHome := t.TempDir()
+	setTestHome(t, tmpHome)
+
+	configDir := filepath.Join(tmpHome, ".ollama")
+	if err := os.MkdirAll(configDir, 0o755); err != nil {
+		t.Fatalf("mkdir config dir: %v", err)
+	}
+	configPath := filepath.Join(configDir, serverConfigFilename)
+	if err := os.WriteFile(configPath, []byte(`{"another_key":"value","disable_ollama_cloud":true}`), 0o644); err != nil {
+		t.Fatalf("seed config: %v", err)
+	}
+
+	s := &Store{DBPath: filepath.Join(tmpHome, "db.sqlite")}
+	defer s.Close()
+
+	if err := s.SetCloudEnabled(true); err != nil {
+		t.Fatalf("SetCloudEnabled(true) error = %v", err)
+	}
+
+	data, err := os.ReadFile(configPath)
+	if err != nil {
+		t.Fatalf("read config: %v", err)
+	}
+
+	var got map[string]any
+	if err := json.Unmarshal(data, &got); err != nil {
+		t.Fatalf("unmarshal config: %v", err)
+	}
+
+	if got["disable_ollama_cloud"] != false {
+		t.Fatalf("disable_ollama_cloud = %v, want false", got["disable_ollama_cloud"])
+	}
+	if got["another_key"] != "value" {
+		t.Fatalf("another_key = %v, want value", got["another_key"])
+	}
+}

app/store/database.go

@@ -14,7 +14,7 @@ import (
 
 // currentSchemaVersion defines the current database schema version.
 // Increment this when making schema changes that require migrations.
-const currentSchemaVersion = 12
+const currentSchemaVersion = 13
 
 // database wraps the SQLite connection.
 // SQLite handles its own locking for concurrent access:
@@ -84,6 +84,7 @@ func (db *database) init() error {
 		sidebar_open BOOLEAN NOT NULL DEFAULT 0,
 		think_enabled BOOLEAN NOT NULL DEFAULT 0,
 		think_level TEXT NOT NULL DEFAULT '',
+		cloud_setting_migrated BOOLEAN NOT NULL DEFAULT 0,
 		remote TEXT NOT NULL DEFAULT '', -- deprecated
 		schema_version INTEGER NOT NULL DEFAULT %d
 	);
@@ -244,6 +245,12 @@ func (db *database) migrate() error {
 				return fmt.Errorf("migrate v11 to v12: %w", err)
 			}
 			version = 12
+		case 12:
+			// add cloud_setting_migrated column to settings table
+			if err := db.migrateV12ToV13(); err != nil {
+				return fmt.Errorf("migrate v12 to v13: %w", err)
+			}
+			version = 13
 		default:
 			// If we have a version we don't recognize, just set it to current
 			// This might happen during development
@@ -452,6 +459,21 @@ func (db *database) migrateV11ToV12() error {
 	return nil
 }
 
+// migrateV12ToV13 adds cloud_setting_migrated to settings.
+func (db *database) migrateV12ToV13() error {
+	_, err := db.conn.Exec(`ALTER TABLE settings ADD COLUMN cloud_setting_migrated BOOLEAN NOT NULL DEFAULT 0`)
+	if err != nil && !duplicateColumnError(err) {
+		return fmt.Errorf("add cloud_setting_migrated column: %w", err)
+	}
+
+	_, err = db.conn.Exec(`UPDATE settings SET schema_version = 13`)
+	if err != nil {
+		return fmt.Errorf("update schema version: %w", err)
+	}
+
+	return nil
+}
+
 // cleanupOrphanedData removes orphaned records that may exist due to the foreign key bug
 func (db *database) cleanupOrphanedData() error {
 	_, err := db.conn.Exec(`
@@ -1108,9 +1130,9 @@ func (db *database) getSettings() (Settings, error) {
 	var s Settings
 
 	err := db.conn.QueryRow(`
-		SELECT expose, survey, browser, models, agent, tools, working_dir, context_length, airplane_mode, turbo_enabled, websearch_enabled, selected_model, sidebar_open, think_enabled, think_level 
+		SELECT expose, survey, browser, models, agent, tools, working_dir, context_length, turbo_enabled, websearch_enabled, selected_model, sidebar_open, think_enabled, think_level
 		FROM settings
-	`).Scan(&s.Expose, &s.Survey, &s.Browser, &s.Models, &s.Agent, &s.Tools, &s.WorkingDir, &s.ContextLength, &s.AirplaneMode, &s.TurboEnabled, &s.WebSearchEnabled, &s.SelectedModel, &s.SidebarOpen, &s.ThinkEnabled, &s.ThinkLevel)
+	`).Scan(&s.Expose, &s.Survey, &s.Browser, &s.Models, &s.Agent, &s.Tools, &s.WorkingDir, &s.ContextLength, &s.TurboEnabled, &s.WebSearchEnabled, &s.SelectedModel, &s.SidebarOpen, &s.ThinkEnabled, &s.ThinkLevel)
 	if err != nil {
 		return Settings{}, fmt.Errorf("get settings: %w", err)
 	}
@@ -1121,14 +1143,40 @@ func (db *database) getSettings() (Settings, error) {
 func (db *database) setSettings(s Settings) error {
 	_, err := db.conn.Exec(`
 		UPDATE settings 
-		SET expose = ?, survey = ?, browser = ?, models = ?, agent = ?, tools = ?, working_dir = ?, context_length = ?, airplane_mode = ?, turbo_enabled = ?, websearch_enabled = ?, selected_model = ?, sidebar_open = ?, think_enabled = ?, think_level = ?
-	`, s.Expose, s.Survey, s.Browser, s.Models, s.Agent, s.Tools, s.WorkingDir, s.ContextLength, s.AirplaneMode, s.TurboEnabled, s.WebSearchEnabled, s.SelectedModel, s.SidebarOpen, s.ThinkEnabled, s.ThinkLevel)
+		SET expose = ?, survey = ?, browser = ?, models = ?, agent = ?, tools = ?, working_dir = ?, context_length = ?, turbo_enabled = ?, websearch_enabled = ?, selected_model = ?, sidebar_open = ?, think_enabled = ?, think_level = ?
+	`, s.Expose, s.Survey, s.Browser, s.Models, s.Agent, s.Tools, s.WorkingDir, s.ContextLength, s.TurboEnabled, s.WebSearchEnabled, s.SelectedModel, s.SidebarOpen, s.ThinkEnabled, s.ThinkLevel)
 	if err != nil {
 		return fmt.Errorf("set settings: %w", err)
 	}
 	return nil
 }
 
+func (db *database) isCloudSettingMigrated() (bool, error) {
+	var migrated bool
+	err := db.conn.QueryRow("SELECT cloud_setting_migrated FROM settings").Scan(&migrated)
+	if err != nil {
+		return false, fmt.Errorf("get cloud setting migration status: %w", err)
+	}
+	return migrated, nil
+}
+
+func (db *database) setCloudSettingMigrated(migrated bool) error {
+	_, err := db.conn.Exec("UPDATE settings SET cloud_setting_migrated = ?", migrated)
+	if err != nil {
+		return fmt.Errorf("set cloud setting migration status: %w", err)
+	}
+	return nil
+}
+
+func (db *database) getAirplaneMode() (bool, error) {
+	var airplaneMode bool
+	err := db.conn.QueryRow("SELECT airplane_mode FROM settings").Scan(&airplaneMode)
+	if err != nil {
+		return false, fmt.Errorf("get airplane_mode: %w", err)
+	}
+	return airplaneMode, nil
+}
+
 func (db *database) getWindowSize() (int, int, error) {
 	var width, height int
 	err := db.conn.QueryRow("SELECT window_width, window_height FROM settings").Scan(&width, &height)

app/store/migration_test.go

@@ -127,6 +127,65 @@ func TestNoConfigToMigrate(t *testing.T) {
 	}
 }
 
+func TestCloudMigrationFromAirplaneMode(t *testing.T) {
+	tmpHome := t.TempDir()
+	setTestHome(t, tmpHome)
+	t.Setenv("OLLAMA_NO_CLOUD", "")
+
+	dbPath := filepath.Join(tmpHome, "db.sqlite")
+	db, err := newDatabase(dbPath)
+	if err != nil {
+		t.Fatalf("failed to create database: %v", err)
+	}
+
+	if _, err := db.conn.Exec("UPDATE settings SET airplane_mode = 1, cloud_setting_migrated = 0"); err != nil {
+		db.Close()
+		t.Fatalf("failed to seed airplane migration state: %v", err)
+	}
+	db.Close()
+
+	s := Store{DBPath: dbPath}
+	defer s.Close()
+
+	// Trigger DB initialization + one-time cloud migration.
+	if _, err := s.ID(); err != nil {
+		t.Fatalf("failed to initialize store: %v", err)
+	}
+
+	disabled, err := s.CloudDisabled()
+	if err != nil {
+		t.Fatalf("CloudDisabled() error: %v", err)
+	}
+	if !disabled {
+		t.Fatal("expected cloud to be disabled after migrating airplane_mode=true")
+	}
+
+	configPath := filepath.Join(tmpHome, ".ollama", serverConfigFilename)
+	data, err := os.ReadFile(configPath)
+	if err != nil {
+		t.Fatalf("failed to read migrated server config: %v", err)
+	}
+
+	var cfg map[string]any
+	if err := json.Unmarshal(data, &cfg); err != nil {
+		t.Fatalf("failed to parse migrated server config: %v", err)
+	}
+	if cfg["disable_ollama_cloud"] != true {
+		t.Fatalf("disable_ollama_cloud = %v, want true", cfg["disable_ollama_cloud"])
+	}
+
+	var airplaneMode, migrated bool
+	if err := s.db.conn.QueryRow("SELECT airplane_mode, cloud_setting_migrated FROM settings").Scan(&airplaneMode, &migrated); err != nil {
+		t.Fatalf("failed to read migration flags from DB: %v", err)
+	}
+	if !airplaneMode {
+		t.Fatal("expected legacy airplane_mode value to remain unchanged")
+	}
+	if !migrated {
+		t.Fatal("expected cloud_setting_migrated to be true")
+	}
+}
+
 const (
 	v1Schema = `
 	CREATE TABLE IF NOT EXISTS settings (

app/store/store.go

@@ -149,9 +149,6 @@ type Settings struct {
 	// ContextLength specifies the context length for the ollama server (using OLLAMA_CONTEXT_LENGTH)
 	ContextLength int
 
-	// AirplaneMode when true, turns off Ollama Turbo features and only uses local models
-	AirplaneMode bool
-
 	// TurboEnabled indicates if Ollama Turbo features are enabled
 	TurboEnabled bool
 
@@ -259,6 +256,40 @@ func (s *Store) ensureDB() error {
 		}
 	}
 
+	// Run one-time migration from legacy airplane_mode behavior.
+	if err := s.migrateCloudSetting(database); err != nil {
+		return fmt.Errorf("migrate cloud setting: %w", err)
+	}
+
+	return nil
+}
+
+// migrateCloudSetting migrates legacy airplane_mode into server.json exactly once.
+// After this, cloud state is sourced from server.json OR OLLAMA_NO_CLOUD.
+func (s *Store) migrateCloudSetting(database *database) error {
+	migrated, err := database.isCloudSettingMigrated()
+	if err != nil {
+		return err
+	}
+	if migrated {
+		return nil
+	}
+
+	airplaneMode, err := database.getAirplaneMode()
+	if err != nil {
+		return err
+	}
+
+	if airplaneMode {
+		if err := setCloudEnabled(false); err != nil {
+			return fmt.Errorf("migrate airplane_mode to cloud disabled: %w", err)
+		}
+	}
+
+	if err := database.setCloudSettingMigrated(true); err != nil {
+		return err
+	}
+
 	return nil
 }
 

app/store/test_home_test.go

@@ -0,0 +1,11 @@
+//go:build windows || darwin
+
+package store
+
+import "testing"
+
+func setTestHome(t *testing.T, home string) {
+	t.Helper()
+	t.Setenv("HOME", home)
+	t.Setenv("USERPROFILE", home)
+}

app/tools/cloud_policy.go

@@ -0,0 +1,35 @@
+//go:build windows || darwin
+
+package tools
+
+import (
+	"context"
+	"errors"
+
+	"github.com/ollama/ollama/api"
+	internalcloud "github.com/ollama/ollama/internal/cloud"
+)
+
+// ensureCloudEnabledForTool checks cloud policy from the connected Ollama server.
+// If policy cannot be determined, this fails closed and blocks the operation.
+func ensureCloudEnabledForTool(ctx context.Context, operation string) error {
+	// Reuse shared message formatting; policy evaluation is still done via
+	// the connected server's /api/status endpoint below.
+	disabledMessage := internalcloud.DisabledError(operation)
+
+	client, err := api.ClientFromEnvironment()
+	if err != nil {
+		return errors.New(disabledMessage + " (unable to verify server cloud policy)")
+	}
+
+	status, err := client.CloudStatusExperimental(ctx)
+	if err != nil {
+		return errors.New(disabledMessage + " (unable to verify server cloud policy)")
+	}
+
+	if status.Cloud.Disabled {
+		return errors.New(disabledMessage)
+	}
+
+	return nil
+}

app/tools/cloud_policy_test.go

@@ -0,0 +1,73 @@
+//go:build windows || darwin
+
+package tools
+
+import (
+	"context"
+	"net/http"
+	"net/http/httptest"
+	"strings"
+	"testing"
+)
+
+func TestEnsureCloudEnabledForTool(t *testing.T) {
+	const op = "web search is unavailable"
+	const disabledPrefix = "ollama cloud is disabled: web search is unavailable"
+
+	t.Run("enabled allows tool execution", func(t *testing.T) {
+		ts := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+			if r.URL.Path != "/api/status" {
+				http.NotFound(w, r)
+				return
+			}
+			w.Header().Set("Content-Type", "application/json")
+			_, _ = w.Write([]byte(`{"cloud":{"disabled":false,"source":"none"}}`))
+		}))
+		t.Cleanup(ts.Close)
+		t.Setenv("OLLAMA_HOST", ts.URL)
+
+		if err := ensureCloudEnabledForTool(context.Background(), op); err != nil {
+			t.Fatalf("expected nil error, got %v", err)
+		}
+	})
+
+	t.Run("disabled blocks tool execution", func(t *testing.T) {
+		ts := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+			if r.URL.Path != "/api/status" {
+				http.NotFound(w, r)
+				return
+			}
+			w.Header().Set("Content-Type", "application/json")
+			_, _ = w.Write([]byte(`{"cloud":{"disabled":true,"source":"config"}}`))
+		}))
+		t.Cleanup(ts.Close)
+		t.Setenv("OLLAMA_HOST", ts.URL)
+
+		err := ensureCloudEnabledForTool(context.Background(), op)
+		if err == nil {
+			t.Fatal("expected error, got nil")
+		}
+		if got := err.Error(); got != disabledPrefix {
+			t.Fatalf("unexpected error: %q", got)
+		}
+	})
+
+	t.Run("status unavailable fails closed", func(t *testing.T) {
+		ts := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+			http.NotFound(w, r)
+		}))
+		t.Cleanup(ts.Close)
+		t.Setenv("OLLAMA_HOST", ts.URL)
+
+		err := ensureCloudEnabledForTool(context.Background(), op)
+		if err == nil {
+			t.Fatal("expected error, got nil")
+		}
+		if got := err.Error(); !strings.Contains(got, disabledPrefix) {
+			t.Fatalf("expected disabled prefix, got %q", got)
+		}
+		if got := err.Error(); !strings.Contains(got, "unable to verify server cloud policy") {
+			t.Fatalf("expected verification failure detail, got %q", got)
+		}
+	})
+}

app/tools/web_fetch.go

@@ -77,6 +77,10 @@ func (w *WebFetch) Execute(ctx context.Context, args map[string]any) (any, strin
 }
 
 func performWebFetch(ctx context.Context, targetURL string) (*FetchResponse, error) {
+	if err := ensureCloudEnabledForTool(ctx, "web fetch is unavailable"); err != nil {
+		return nil, err
+	}
+
 	reqBody := FetchRequest{URL: targetURL}
 	jsonBody, err := json.Marshal(reqBody)
 	if err != nil {

app/tools/web_search.go

@@ -93,6 +93,10 @@ func (w *WebSearch) Execute(ctx context.Context, args map[string]any) (any, stri
 }
 
 func performWebSearch(ctx context.Context, query string, maxResults int) (*SearchResponse, error) {
+	if err := ensureCloudEnabledForTool(ctx, "web search is unavailable"); err != nil {
+		return nil, err
+	}
+
 	reqBody := SearchRequest{Query: query, MaxResults: maxResults}
 
 	jsonBody, err := json.Marshal(reqBody)

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

@@ -406,7 +406,6 @@ export class Settings {
     Tools: boolean;
     WorkingDir: string;
     ContextLength: number;
-    AirplaneMode: boolean;
     TurboEnabled: boolean;
     WebSearchEnabled: boolean;
     ThinkEnabled: boolean;
@@ -424,7 +423,6 @@ export class Settings {
         this.Tools = source["Tools"];
         this.WorkingDir = source["WorkingDir"];
         this.ContextLength = source["ContextLength"];
-        this.AirplaneMode = source["AirplaneMode"];
         this.TurboEnabled = source["TurboEnabled"];
         this.WebSearchEnabled = source["WebSearchEnabled"];
         this.ThinkEnabled = source["ThinkEnabled"];

app/ui/app/src/api.ts

@@ -27,6 +27,12 @@ declare module "@/gotypes" {
 Model.prototype.isCloud = function (): boolean {
   return this.model.endsWith("cloud");
 };
+
+export type CloudStatusSource = "env" | "config" | "both" | "none";
+export interface CloudStatusResponse {
+  disabled: boolean;
+  source: CloudStatusSource;
+}
 // Helper function to convert Uint8Array to base64
 function uint8ArrayToBase64(uint8Array: Uint8Array): string {
   const chunkSize = 0x8000; // 32KB chunks to avoid stack overflow
@@ -285,6 +291,28 @@ export async function updateSettings(settings: Settings): Promise<{
   };
 }
 
+export async function updateCloudSetting(
+  enabled: boolean,
+): Promise<CloudStatusResponse> {
+  const response = await fetch(`${API_BASE}/api/v1/cloud`, {
+    method: "POST",
+    headers: {
+      "Content-Type": "application/json",
+    },
+    body: JSON.stringify({ enabled }),
+  });
+  if (!response.ok) {
+    const error = await response.text();
+    throw new Error(error || "Failed to update cloud setting");
+  }
+
+  const data = await response.json();
+  return {
+    disabled: Boolean(data.disabled),
+    source: (data.source as CloudStatusSource) || "none",
+  };
+}
+
 export async function renameChat(chatId: string, title: string): Promise<void> {
   const response = await fetch(`${API_BASE}/api/v1/chat/${chatId}/rename`, {
     method: "PUT",
@@ -414,3 +442,16 @@ export async function fetchHealth(): Promise<boolean> {
     return false;
   }
 }
+
+export async function getCloudStatus(): Promise<CloudStatusResponse | null> {
+  const response = await fetch(`${API_BASE}/api/v1/cloud`);
+  if (!response.ok) {
+    throw new Error(`Failed to fetch cloud status: ${response.status}`);
+  }
+
+  const data = await response.json();
+  return {
+    disabled: Boolean(data.disabled),
+    source: (data.source as CloudStatusSource) || "none",
+  };
+}

app/ui/app/src/components/ChatForm.tsx

@@ -22,6 +22,7 @@ import { useUser } from "@/hooks/useUser";
 import { DisplayLogin } from "@/components/DisplayLogin";
 import { ErrorEvent, Message } from "@/gotypes";
 import { useSettings } from "@/hooks/useSettings";
+import { useCloudStatus } from "@/hooks/useCloudStatus";
 import { ThinkButton } from "./ThinkButton";
 import { ErrorMessage } from "./ErrorMessage";
 import { processFiles } from "@/utils/fileValidation";
@@ -141,12 +142,12 @@ function ChatForm({
   const {
     settings: {
       webSearchEnabled,
-      airplaneMode,
       thinkEnabled,
       thinkLevel: settingsThinkLevel,
     },
     setSettings,
   } = useSettings();
+  const { cloudDisabled } = useCloudStatus();
 
   // current supported models for web search
   const modelLower = selectedModel?.model.toLowerCase() || "";
@@ -180,6 +181,12 @@ function ChatForm({
     setSettings,
   ]);
 
+  useEffect(() => {
+    if (cloudDisabled && webSearchEnabled) {
+      setSettings({ WebSearchEnabled: false });
+    }
+  }, [cloudDisabled, webSearchEnabled, setSettings]);
+
   const removeFile = (index: number) => {
     setMessage((prev) => ({
       ...prev,
@@ -234,19 +241,19 @@ function ChatForm({
 
   // Determine if login banner should be shown
   const shouldShowLoginBanner =
+    !cloudDisabled &&
     !isLoadingUser &&
     !isAuthenticated &&
-    ((webSearchEnabled && supportsWebSearch) ||
-      (selectedModel?.isCloud() && !airplaneMode));
+    ((webSearchEnabled && supportsWebSearch) || selectedModel?.isCloud());
 
   // Determine which feature to highlight in the banner
   const getActiveFeatureForBanner = () => {
+    if (cloudDisabled) return null;
     if (!isAuthenticated) {
       if (loginPromptFeature) return loginPromptFeature;
-      if (webSearchEnabled && selectedModel?.isCloud() && !airplaneMode)
-        return "webSearch";
+      if (webSearchEnabled && selectedModel?.isCloud()) return "webSearch";
       if (webSearchEnabled) return "webSearch";
-      if (selectedModel?.isCloud() && !airplaneMode) return "turbo";
+      if (selectedModel?.isCloud()) return "turbo";
     }
     return null;
   };
@@ -269,11 +276,12 @@ function ChatForm({
   useEffect(() => {
     if (
       isAuthenticated ||
-      (!webSearchEnabled && !!selectedModel?.isCloud() && !airplaneMode)
+      cloudDisabled ||
+      (!webSearchEnabled && !!selectedModel?.isCloud())
     ) {
       setLoginPromptFeature(null);
     }
-  }, [isAuthenticated, webSearchEnabled, selectedModel, airplaneMode]);
+  }, [isAuthenticated, webSearchEnabled, selectedModel, cloudDisabled]);
 
   // When entering edit mode, populate the composition with existing data
   useEffect(() => {
@@ -465,6 +473,10 @@ function ChatForm({
   const handleSubmit = async () => {
     if (!message.content.trim() || isStreaming || isDownloading) return;
 
+    if (cloudDisabled && selectedModel?.isCloud()) {
+      return;
+    }
+
     // Check if cloud mode is enabled but user is not authenticated
     if (shouldShowLoginBanner) {
       return;
@@ -478,7 +490,8 @@ function ChatForm({
       }),
     );
 
-    const useWebSearch = supportsWebSearch && webSearchEnabled && !airplaneMode;
+    const useWebSearch =
+      supportsWebSearch && webSearchEnabled && !cloudDisabled;
     const useThink = modelSupportsThinkingLevels
       ? thinkLevel
       : supportsThinkToggling
@@ -899,7 +912,7 @@ function ChatForm({
                 )}
                 <WebSearchButton
                   ref={webSearchButtonRef}
-                  isVisible={supportsWebSearch && airplaneMode === false}
+                  isVisible={supportsWebSearch && cloudDisabled === false}
                   isActive={webSearchEnabled}
                   onToggle={() => {
                     if (!webSearchEnabled && !isAuthenticated) {
@@ -940,6 +953,7 @@ function ChatForm({
                 !isDownloading &&
                 (!message.content.trim() ||
                   shouldShowLoginBanner ||
+                  (cloudDisabled && selectedModel?.isCloud()) ||
                   message.fileErrors.length > 0)
               }
               className={`flex items-center justify-center h-9 w-9 rounded-full disabled:cursor-default cursor-pointer bg-black text-white dark:bg-white dark:text-black disabled:opacity-10 focus:outline-none focus:ring-2 focus:ring-blue-500`}

app/ui/app/src/components/ModelPicker.tsx

@@ -8,7 +8,7 @@ import {
 } from "react";
 import { Model } from "@/gotypes";
 import { useSelectedModel } from "@/hooks/useSelectedModel";
-import { useSettings } from "@/hooks/useSettings";
+import { useCloudStatus } from "@/hooks/useCloudStatus";
 import { useQueryClient } from "@tanstack/react-query";
 import { getModelUpstreamInfo } from "@/api";
 import { ArrowDownTrayIcon } from "@heroicons/react/24/outline";
@@ -34,7 +34,7 @@ export const ModelPicker = forwardRef<
     chatId,
     searchQuery,
   );
-  const { settings } = useSettings();
+  const { cloudDisabled } = useCloudStatus();
   const dropdownRef = useRef<HTMLDivElement>(null);
   const searchInputRef = useRef<HTMLInputElement>(null);
   const queryClient = useQueryClient();
@@ -219,7 +219,7 @@ export const ModelPicker = forwardRef<
             models={models}
             selectedModel={selectedModel}
             onModelSelect={handleModelSelect}
-            airplaneMode={settings.airplaneMode}
+            cloudDisabled={cloudDisabled}
             isOpen={isOpen}
           />
         </div>
@@ -233,13 +233,13 @@ export const ModelList = forwardRef(function ModelList(
     models,
     selectedModel,
     onModelSelect,
-    airplaneMode,
+    cloudDisabled,
     isOpen,
   }: {
     models: Model[];
     selectedModel: Model | null;
     onModelSelect: (model: Model) => void;
-    airplaneMode: boolean;
+    cloudDisabled: boolean;
     isOpen: boolean;
   },
   ref,
@@ -348,7 +348,7 @@ export const ModelList = forwardRef(function ModelList(
                   </svg>
                 )}
                 {model.digest === undefined &&
-                  (airplaneMode || !model.isCloud()) && (
+                  (cloudDisabled || !model.isCloud()) && (
                     <ArrowDownTrayIcon
                       className="h-4 w-4 text-neutral-500 dark:text-neutral-400"
                       strokeWidth={1.75}

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

@@ -11,6 +11,7 @@ import {
   FolderIcon,
   BoltIcon,
   WrenchIcon,
+  CloudIcon,
   XMarkIcon,
   CogIcon,
   ArrowLeftIcon,
@@ -18,8 +19,14 @@ import {
 import { Settings as SettingsType } from "@/gotypes";
 import { useNavigate } from "@tanstack/react-router";
 import { useUser } from "@/hooks/useUser";
+import { useCloudStatus } from "@/hooks/useCloudStatus";
 import { useQuery, useMutation, useQueryClient } from "@tanstack/react-query";
-import { getSettings, updateSettings } from "@/api";
+import {
+  getSettings,
+  type CloudStatusResponse,
+  updateCloudSetting,
+  updateSettings,
+} from "@/api";
 
 function AnimatedDots() {
   return (
@@ -53,6 +60,11 @@ export default function Settings() {
   const [connectionError, setConnectionError] = useState<string | null>(null);
   const [pollingInterval, setPollingInterval] = useState<number | null>(null);
   const navigate = useNavigate();
+  const {
+    cloudDisabled,
+    cloudStatus,
+    isLoading: cloudStatusLoading,
+  } = useCloudStatus();
 
   const {
     data: settingsData,
@@ -74,6 +86,50 @@ export default function Settings() {
     },
   });
 
+  const updateCloudMutation = useMutation({
+    mutationFn: (enabled: boolean) => updateCloudSetting(enabled),
+    onMutate: async (enabled: boolean) => {
+      await queryClient.cancelQueries({ queryKey: ["cloudStatus"] });
+
+      const previous = queryClient.getQueryData<CloudStatusResponse | null>([
+        "cloudStatus",
+      ]);
+      const envForcesDisabled =
+        previous?.source === "env" || previous?.source === "both";
+
+      queryClient.setQueryData<CloudStatusResponse | null>(
+        ["cloudStatus"],
+        previous
+          ? {
+              ...previous,
+              disabled: !enabled || envForcesDisabled,
+            }
+          : {
+              disabled: !enabled,
+              source: "config",
+            },
+      );
+
+      return { previous };
+    },
+    onError: (_error, _enabled, context) => {
+      if (context?.previous !== undefined) {
+        queryClient.setQueryData(["cloudStatus"], context.previous);
+      }
+    },
+    onSuccess: (status) => {
+      queryClient.setQueryData<CloudStatusResponse | null>(
+        ["cloudStatus"],
+        status,
+      );
+      queryClient.invalidateQueries({ queryKey: ["models"] });
+      queryClient.invalidateQueries({ queryKey: ["cloudStatus"] });
+
+      setShowSaved(true);
+      setTimeout(() => setShowSaved(false), 1500);
+    },
+  });
+
   useEffect(() => {
     refetchUser();
   }, []); // eslint-disable-line react-hooks/exhaustive-deps
@@ -149,12 +205,16 @@ export default function Settings() {
         Agent: false,
         Tools: false,
         ContextLength: 4096,
-        AirplaneMode: false,
       });
       updateSettingsMutation.mutate(defaultSettings);
     }
   };
 
+  const cloudOverriddenByEnv =
+    cloudStatus?.source === "env" || cloudStatus?.source === "both";
+  const cloudToggleDisabled =
+    cloudStatusLoading || updateCloudMutation.isPending || cloudOverriddenByEnv;
+
   const handleConnectOllamaAccount = async () => {
     setConnectionError(null);
 
@@ -237,7 +297,7 @@ export default function Settings() {
         <div className="space-y-4 max-w-2xl mx-auto">
           {/* Connect Ollama Account */}
           <div className="overflow-hidden rounded-xl bg-white dark:bg-neutral-800">
-            <div className="p-4 border-b border-neutral-200 dark:border-neutral-800">
+            <div className="p-4">
               <Field>
                 {isLoading ? (
                   // Loading skeleton, this will only happen if the app started recently
@@ -344,6 +404,34 @@ export default function Settings() {
           {/* Local Configuration */}
           <div className="relative overflow-hidden rounded-xl bg-white dark:bg-neutral-800">
             <div className="space-y-4 p-4">
+              <Field>
+                <div className="flex items-start justify-between gap-4">
+                  <div className="flex items-start space-x-3 flex-1">
+                    <CloudIcon className="mt-1 h-5 w-5 flex-shrink-0 text-black dark:text-neutral-100" />
+                    <div>
+                      <Label>Cloud</Label>
+                      <Description>
+                        {cloudOverriddenByEnv
+                          ? "The OLLAMA_NO_CLOUD environment variable is currently forcing cloud off."
+                          : "Enable cloud models and web search."}
+                      </Description>
+                    </div>
+                  </div>
+                  <div className="flex-shrink-0">
+                    <Switch
+                      checked={!cloudDisabled}
+                      disabled={cloudToggleDisabled}
+                      onChange={(checked) => {
+                        if (cloudOverriddenByEnv) {
+                          return;
+                        }
+                        updateCloudMutation.mutate(checked);
+                      }}
+                    />
+                  </div>
+                </div>
+              </Field>
+
               {/* Expose Ollama */}
               <Field>
                 <div className="flex items-start justify-between gap-4">
@@ -440,35 +528,6 @@ export default function Settings() {
                   </div>
                 </div>
               </Field>
-              {/* Airplane Mode */}
-              <Field>
-                <div className="flex items-start justify-between gap-4">
-                  <div className="flex items-start space-x-3 flex-1">
-                    <svg
-                      className="mt-1 h-5 w-5 flex-shrink-0 text-black dark:text-neutral-100"
-                      viewBox="0 0 21.5508 17.9033"
-                      fill="currentColor"
-                    >
-                      <path d="M21.5508 8.94727C21.542 7.91895 20.1445 7.17188 18.4658 7.17188L14.9238 7.17188C14.4316 7.17188 14.2471 7.09277 13.957 6.75879L8.05078 0.316406C7.86621 0.105469 7.6377 0 7.37402 0L6.35449 0C6.12598 0 5.99414 0.202148 6.1084 0.448242L9.14941 7.17188L4.68457 7.68164L3.09375 4.76367C2.97949 4.54395 2.78613 4.44727 2.49609 4.44727L2.11816 4.44727C1.88965 4.44727 1.74023 4.59668 1.74023 4.8252L1.74023 13.0693C1.74023 13.2979 1.88965 13.4385 2.11816 13.4385L2.49609 13.4385C2.78613 13.4385 2.97949 13.3418 3.09375 13.1309L4.68457 10.2129L9.14941 10.7227L6.1084 17.4463C5.99414 17.6836 6.12598 17.8945 6.35449 17.8945L7.37402 17.8945C7.6377 17.8945 7.86621 17.7803 8.05078 17.5781L13.957 11.127C14.2471 10.8018 14.4316 10.7227 14.9238 10.7227L18.4658 10.7227C20.1445 10.7227 21.542 9.9668 21.5508 8.94727Z" />
-                    </svg>
-                    <div>
-                      <Label>Airplane mode</Label>
-                      <Description>
-                        Airplane mode keeps data local, disabling cloud models
-                        and web search.
-                      </Description>
-                    </div>
-                  </div>
-                  <div className="flex-shrink-0">
-                    <Switch
-                      checked={settings.AirplaneMode}
-                      onChange={(checked) =>
-                        handleChange("AirplaneMode", checked)
-                      }
-                    />
-                  </div>
-                </div>
-              </Field>
             </div>
           </div>
 

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

@@ -6,8 +6,8 @@ import { useSelectedModel } from "./useSelectedModel";
 import { createQueryBatcher } from "./useQueryBatcher";
 import { useRefetchModels } from "./useModels";
 import { useStreamingContext } from "@/contexts/StreamingContext";
-import { useSettings } from "./useSettings";
 import { getModelCapabilities } from "@/api";
+import { useCloudStatus } from "./useCloudStatus";
 
 export const useChats = () => {
   return useQuery({
@@ -116,11 +116,9 @@ export const useIsModelStale = (modelName: string) => {
 export const useShouldShowStaleDisplay = (model: Model | null) => {
   const isStale = useIsModelStale(model?.model || "");
   const { data: dismissedModels } = useDismissedStaleModels();
-  const {
-    settings: { airplaneMode },
-  } = useSettings();
+  const { cloudDisabled } = useCloudStatus();
 
-  if (model?.isCloud() && !airplaneMode) {
+  if (model?.isCloud() && !cloudDisabled) {
     return false;
   }
 

app/ui/app/src/hooks/useCloudStatus.ts

@@ -0,0 +1,20 @@
+import { useQuery } from "@tanstack/react-query";
+import { getCloudStatus, type CloudStatusResponse } from "@/api";
+
+export function useCloudStatus() {
+  const cloudQuery = useQuery<CloudStatusResponse | null>({
+    queryKey: ["cloudStatus"],
+    queryFn: getCloudStatus,
+    retry: false,
+    staleTime: 60 * 1000,
+  });
+
+  return {
+    cloudStatus: cloudQuery.data,
+    cloudDisabled: cloudQuery.data?.disabled ?? false,
+    isKnown: cloudQuery.data !== null && cloudQuery.data !== undefined,
+    isLoading: cloudQuery.isLoading,
+    isError: cloudQuery.isError,
+    error: cloudQuery.error,
+  };
+}

app/ui/app/src/hooks/useModels.ts

@@ -2,11 +2,11 @@ import { useQuery } from "@tanstack/react-query";
 import { Model } from "@/gotypes";
 import { getModels } from "@/api";
 import { mergeModels } from "@/utils/mergeModels";
-import { useSettings } from "./useSettings";
 import { useMemo } from "react";
+import { useCloudStatus } from "./useCloudStatus";
 
 export function useModels(searchQuery = "") {
-  const { settings } = useSettings();
+  const { cloudDisabled } = useCloudStatus();
   const localQuery = useQuery<Model[], Error>({
     queryKey: ["models", searchQuery],
     queryFn: () => getModels(searchQuery),
@@ -20,7 +20,7 @@ export function useModels(searchQuery = "") {
   });
 
   const allModels = useMemo(() => {
-    const models = mergeModels(localQuery.data || [], settings.airplaneMode);
+    const models = mergeModels(localQuery.data || [], cloudDisabled);
 
     if (searchQuery && searchQuery.trim()) {
       const query = searchQuery.toLowerCase().trim();
@@ -40,7 +40,7 @@ export function useModels(searchQuery = "") {
     }
 
     return models;
-  }, [localQuery.data, searchQuery, settings.airplaneMode]);
+  }, [localQuery.data, searchQuery, cloudDisabled]);
 
   return {
     ...localQuery,

app/ui/app/src/hooks/useSelectedModel.ts

@@ -7,6 +7,7 @@ import { Model } from "@/gotypes";
 import { FEATURED_MODELS } from "@/utils/mergeModels";
 import { getTotalVRAM } from "@/utils/vram.ts";
 import { getInferenceCompute } from "@/api";
+import { useCloudStatus } from "./useCloudStatus";
 
 export function recommendDefaultModel(totalVRAM: number): string {
   const vram = Math.max(0, Number(totalVRAM) || 0);
@@ -22,6 +23,7 @@ export function recommendDefaultModel(totalVRAM: number): string {
 export function useSelectedModel(currentChatId?: string, searchQuery?: string) {
   const { settings, setSettings } = useSettings();
   const { data: models = [], isLoading } = useModels(searchQuery || "");
+  const { cloudDisabled } = useCloudStatus();
   const { data: chatData, isLoading: isChatLoading } = useChat(
     currentChatId && currentChatId !== "new" ? currentChatId : "",
   );
@@ -46,12 +48,11 @@ export function useSelectedModel(currentChatId?: string, searchQuery?: string) {
   const restoredChatRef = useRef<string | null>(null);
 
   const selectedModel: Model | null = useMemo(() => {
-    // if airplane mode is on and selected model ends with cloud,
-    // switch to recommended default model
-    if (settings.airplaneMode && settings.selectedModel?.endsWith("cloud")) {
+    // If cloud is disabled and selected model ends with cloud, switch to a local default.
+    if (cloudDisabled && settings.selectedModel?.endsWith("cloud")) {
       return (
         models.find((m) => m.model === recommendedModel) ||
-        models.find((m) => m.isCloud) ||
+        models.find((m) => !m.isCloud()) ||
         models.find((m) => m.digest === undefined || m.digest === "") ||
         models[0] ||
         null
@@ -68,7 +69,7 @@ export function useSelectedModel(currentChatId?: string, searchQuery?: string) {
       "qwen3-coder:480b",
     ];
     const shouldMigrate =
-      !settings.airplaneMode &&
+      !cloudDisabled &&
       settings.turboEnabled &&
       baseModelsToMigrate.includes(settings.selectedModel);
 
@@ -96,13 +97,18 @@ export function useSelectedModel(currentChatId?: string, searchQuery?: string) {
         })) ||
       null
     );
-  }, [models, settings.selectedModel, settings.airplaneMode, recommendedModel]);
+  }, [
+    models,
+    settings.selectedModel,
+    cloudDisabled,
+    recommendedModel,
+  ]);
 
   useEffect(() => {
     if (!selectedModel) return;
 
     if (
-      settings.airplaneMode &&
+      cloudDisabled &&
       settings.selectedModel?.endsWith("cloud") &&
       selectedModel.model !== settings.selectedModel
     ) {
@@ -110,13 +116,17 @@ export function useSelectedModel(currentChatId?: string, searchQuery?: string) {
     }
 
     if (
-      !settings.airplaneMode &&
+      !cloudDisabled &&
       settings.turboEnabled &&
       selectedModel.model !== settings.selectedModel
     ) {
       setSettings({ SelectedModel: selectedModel.model, TurboEnabled: false });
     }
-  }, [selectedModel, settings.airplaneMode, settings.selectedModel]);
+  }, [
+    selectedModel,
+    cloudDisabled,
+    settings.selectedModel,
+  ]);
 
   // Set model from chat history when chat data loads
   useEffect(() => {
@@ -169,7 +179,9 @@ export function useSelectedModel(currentChatId?: string, searchQuery?: string) {
 
     const defaultModel =
       models.find((m) => m.model === recommendedModel) ||
-      models.find((m) => m.isCloud()) ||
+      (cloudDisabled
+        ? models.find((m) => !m.isCloud())
+        : models.find((m) => m.isCloud())) ||
       models.find((m) => m.digest === undefined || m.digest === "") ||
       models[0];
 
@@ -181,6 +193,7 @@ export function useSelectedModel(currentChatId?: string, searchQuery?: string) {
     inferenceComputes.length,
     models.length,
     settings.selectedModel,
+    cloudDisabled,
   ]);
 
   // Add the selected model to the models list if it's not already there

app/ui/app/src/hooks/useSettings.ts

@@ -9,7 +9,6 @@ interface SettingsState {
   webSearchEnabled: boolean;
   selectedModel: string;
   sidebarOpen: boolean;
-  airplaneMode: boolean;
   thinkEnabled: boolean;
   thinkLevel: string;
 }
@@ -51,7 +50,6 @@ export function useSettings() {
       thinkLevel: settingsData?.settings?.ThinkLevel ?? "none",
       selectedModel: settingsData?.settings?.SelectedModel ?? "",
       sidebarOpen: settingsData?.settings?.SidebarOpen ?? false,
-      airplaneMode: settingsData?.settings?.AirplaneMode ?? false,
     }),
     [settingsData?.settings],
   );

app/ui/app/src/routes/__root.tsx

@@ -2,6 +2,7 @@ import type { QueryClient } from "@tanstack/react-query";
 import { createRootRouteWithContext, Outlet } from "@tanstack/react-router";
 import { getSettings } from "@/api";
 import { useQuery } from "@tanstack/react-query";
+import { useCloudStatus } from "@/hooks/useCloudStatus";
 
 function RootComponent() {
   // This hook ensures settings are fetched on app startup
@@ -9,6 +10,8 @@ function RootComponent() {
     queryKey: ["settings"],
     queryFn: getSettings,
   });
+  // Fetch cloud status on startup (best-effort)
+  useCloudStatus();
 
   return (
     <div>

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

@@ -41,14 +41,14 @@ describe("Model merging logic", () => {
     expect(merged.length).toBe(FEATURED_MODELS.length + 2);
   });
 
-  it("should hide cloud models in airplane mode", () => {
+  it("should hide cloud models when cloud is disabled", () => {
     const localModels: Model[] = [
       new Model({ model: "gpt-oss:120b-cloud" }),
       new Model({ model: "llama3:latest" }),
       new Model({ model: "mistral:latest" }),
     ];
 
-    const merged = mergeModels(localModels, true); // airplane mode = true
+    const merged = mergeModels(localModels, true); // cloud disabled = true
 
     // No cloud models should be present
     const cloudModels = merged.filter((m) => m.isCloud());

app/ui/app/src/utils/mergeModels.ts

@@ -32,7 +32,7 @@ function alphabeticalSort(a: Model, b: Model): number {
 //Merges models, sorting cloud models first, then other models
 export function mergeModels(
   localModels: Model[],
-  airplaneMode: boolean = false,
+  hideCloudModels: boolean = false,
 ): Model[] {
   const allModels = (localModels || []).map((model) => model);
 
@@ -95,7 +95,7 @@ export function mergeModels(
 
   remainingModels.sort(alphabeticalSort);
 
-  return airplaneMode
+  return hideCloudModels
     ? [...featuredModels, ...remainingModels]
     : [...cloudModels, ...featuredModels, ...remainingModels];
 }

app/ui/ui.go

@@ -284,12 +284,15 @@ func (s *Server) Handler() http.Handler {
 	mux.Handle("POST /api/v1/model/upstream", handle(s.modelUpstream))
 	mux.Handle("GET /api/v1/settings", handle(s.getSettings))
 	mux.Handle("POST /api/v1/settings", handle(s.settings))
+	mux.Handle("GET /api/v1/cloud", handle(s.getCloudSetting))
+	mux.Handle("POST /api/v1/cloud", handle(s.cloudSetting))
 
 	// Ollama proxy endpoints
 	ollamaProxy := s.ollamaProxy()
 	mux.Handle("GET /api/tags", ollamaProxy)
 	mux.Handle("POST /api/show", ollamaProxy)
 	mux.Handle("GET /api/version", ollamaProxy)
+	mux.Handle("GET /api/status", ollamaProxy)
 	mux.Handle("HEAD /api/version", ollamaProxy)
 	mux.Handle("POST /api/me", ollamaProxy)
 	mux.Handle("POST /api/signout", ollamaProxy)
@@ -1460,6 +1463,40 @@ func (s *Server) settings(w http.ResponseWriter, r *http.Request) error {
 	})
 }
 
+func (s *Server) cloudSetting(w http.ResponseWriter, r *http.Request) error {
+	var req struct {
+		Enabled bool `json:"enabled"`
+	}
+	if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
+		return fmt.Errorf("invalid request body: %w", err)
+	}
+
+	if err := s.Store.SetCloudEnabled(req.Enabled); err != nil {
+		return fmt.Errorf("failed to persist cloud setting: %w", err)
+	}
+
+	s.Restart()
+
+	return s.writeCloudStatus(w)
+}
+
+func (s *Server) getCloudSetting(w http.ResponseWriter, r *http.Request) error {
+	return s.writeCloudStatus(w)
+}
+
+func (s *Server) writeCloudStatus(w http.ResponseWriter) error {
+	disabled, source, err := s.Store.CloudStatus()
+	if err != nil {
+		return fmt.Errorf("failed to load cloud status: %w", err)
+	}
+
+	w.Header().Set("Content-Type", "application/json")
+	return json.NewEncoder(w).Encode(map[string]any{
+		"disabled": disabled,
+		"source":   source,
+	})
+}
+
 func (s *Server) getInferenceCompute(w http.ResponseWriter, r *http.Request) error {
 	ctx, cancel := context.WithTimeout(r.Context(), 500*time.Millisecond)
 	defer cancel()

app/ui/ui_test.go

@@ -115,6 +115,107 @@ func TestHandlePostApiSettings(t *testing.T) {
 	}
 }
 
+func TestHandlePostApiCloudSetting(t *testing.T) {
+	tmpHome := t.TempDir()
+	t.Setenv("HOME", tmpHome)
+	t.Setenv("OLLAMA_NO_CLOUD", "")
+
+	testStore := &store.Store{
+		DBPath: filepath.Join(t.TempDir(), "db.sqlite"),
+	}
+	defer testStore.Close()
+
+	restartCount := 0
+	server := &Server{
+		Store: testStore,
+		Restart: func() {
+			restartCount++
+		},
+	}
+
+	for _, tc := range []struct {
+		name        string
+		body        string
+		wantEnabled bool
+	}{
+		{name: "disable cloud", body: `{"enabled": false}`, wantEnabled: false},
+		{name: "enable cloud", body: `{"enabled": true}`, wantEnabled: true},
+	} {
+		t.Run(tc.name, func(t *testing.T) {
+			req := httptest.NewRequest("POST", "/api/v1/cloud", bytes.NewBufferString(tc.body))
+			req.Header.Set("Content-Type", "application/json")
+			rr := httptest.NewRecorder()
+
+			if err := server.cloudSetting(rr, req); err != nil {
+				t.Fatalf("cloudSetting() error = %v", err)
+			}
+			if rr.Code != http.StatusOK {
+				t.Fatalf("cloudSetting() status = %d, want %d", rr.Code, http.StatusOK)
+			}
+
+			var got map[string]any
+			if err := json.Unmarshal(rr.Body.Bytes(), &got); err != nil {
+				t.Fatalf("cloudSetting() invalid response JSON: %v", err)
+			}
+			if got["disabled"] != !tc.wantEnabled {
+				t.Fatalf("response disabled = %v, want %v", got["disabled"], !tc.wantEnabled)
+			}
+
+			disabled, err := testStore.CloudDisabled()
+			if err != nil {
+				t.Fatalf("CloudDisabled() error = %v", err)
+			}
+			if gotEnabled := !disabled; gotEnabled != tc.wantEnabled {
+				t.Fatalf("cloud enabled = %v, want %v", gotEnabled, tc.wantEnabled)
+			}
+		})
+	}
+
+	if restartCount != 2 {
+		t.Fatalf("Restart called %d times, want 2", restartCount)
+	}
+}
+
+func TestHandleGetApiCloudSetting(t *testing.T) {
+	tmpHome := t.TempDir()
+	t.Setenv("HOME", tmpHome)
+	t.Setenv("OLLAMA_NO_CLOUD", "")
+
+	testStore := &store.Store{
+		DBPath: filepath.Join(t.TempDir(), "db.sqlite"),
+	}
+	defer testStore.Close()
+
+	if err := testStore.SetCloudEnabled(false); err != nil {
+		t.Fatalf("SetCloudEnabled(false) error = %v", err)
+	}
+
+	server := &Server{
+		Store:   testStore,
+		Restart: func() {},
+	}
+
+	req := httptest.NewRequest("GET", "/api/v1/cloud", nil)
+	rr := httptest.NewRecorder()
+	if err := server.getCloudSetting(rr, req); err != nil {
+		t.Fatalf("getCloudSetting() error = %v", err)
+	}
+	if rr.Code != http.StatusOK {
+		t.Fatalf("getCloudSetting() status = %d, want %d", rr.Code, http.StatusOK)
+	}
+
+	var got map[string]any
+	if err := json.Unmarshal(rr.Body.Bytes(), &got); err != nil {
+		t.Fatalf("getCloudSetting() invalid response JSON: %v", err)
+	}
+	if got["disabled"] != true {
+		t.Fatalf("response disabled = %v, want true", got["disabled"])
+	}
+	if got["source"] != "config" {
+		t.Fatalf("response source = %v, want config", got["source"])
+	}
+}
+
 func TestAuthenticationMiddleware(t *testing.T) {
 	tests := []struct {
 		name         string

cmd/background_unix.go

@@ -0,0 +1,13 @@
+//go:build !windows
+
+package cmd
+
+import "syscall"
+
+// backgroundServerSysProcAttr returns SysProcAttr for running the server in the background on Unix.
+// Setpgid prevents the server from being killed when the parent process exits.
+func backgroundServerSysProcAttr() *syscall.SysProcAttr {
+	return &syscall.SysProcAttr{
+		Setpgid: true,
+	}
+}

cmd/background_windows.go

@@ -0,0 +1,12 @@
+package cmd
+
+import "syscall"
+
+// backgroundServerSysProcAttr returns SysProcAttr for running the server in the background on Windows.
+// CREATE_NO_WINDOW (0x08000000) prevents a console window from appearing.
+func backgroundServerSysProcAttr() *syscall.SysProcAttr {
+	return &syscall.SysProcAttr{
+		CreationFlags: 0x08000000,
+		HideWindow:    true,
+	}
+}

cmd/cmd.go

@@ -15,6 +15,7 @@ import (
 	"net"
 	"net/http"
 	"os"
+	"os/exec"
 	"os/signal"
 	"path/filepath"
 	"runtime"
@@ -37,6 +38,7 @@ import (
 
 	"github.com/ollama/ollama/api"
 	"github.com/ollama/ollama/cmd/config"
+	"github.com/ollama/ollama/cmd/tui"
 	"github.com/ollama/ollama/envconfig"
 	"github.com/ollama/ollama/format"
 	"github.com/ollama/ollama/parser"
@@ -53,6 +55,43 @@ import (
 	"github.com/ollama/ollama/x/imagegen"
 )
 
+func init() {
+	// Override default selectors to use Bubbletea TUI instead of raw terminal I/O.
+	config.DefaultSingleSelector = func(title string, items []config.ModelItem) (string, error) {
+		tuiItems := tui.ReorderItems(tui.ConvertItems(items))
+		result, err := tui.SelectSingle(title, tuiItems)
+		if errors.Is(err, tui.ErrCancelled) {
+			return "", config.ErrCancelled
+		}
+		return result, err
+	}
+
+	config.DefaultMultiSelector = func(title string, items []config.ModelItem, preChecked []string) ([]string, error) {
+		tuiItems := tui.ReorderItems(tui.ConvertItems(items))
+		result, err := tui.SelectMultiple(title, tuiItems, preChecked)
+		if errors.Is(err, tui.ErrCancelled) {
+			return nil, config.ErrCancelled
+		}
+		return result, err
+	}
+
+	config.DefaultSignIn = func(modelName, signInURL string) (string, error) {
+		userName, err := tui.RunSignIn(modelName, signInURL)
+		if errors.Is(err, tui.ErrCancelled) {
+			return "", config.ErrCancelled
+		}
+		return userName, err
+	}
+
+	config.DefaultConfirmPrompt = func(prompt string) (bool, error) {
+		ok, err := tui.RunConfirm(prompt)
+		if errors.Is(err, tui.ErrCancelled) {
+			return false, config.ErrCancelled
+		}
+		return ok, err
+	}
+}
+
 const ConnectInstructions = "If your browser did not open, navigate to:\n    %s\n\n"
 
 // ensureThinkingSupport emits a warning if the model does not advertise thinking support
@@ -542,6 +581,17 @@ func RunHandler(cmd *cobra.Command, args []string) error {
 	}
 	opts.WordWrap = !nowrap
 
+	useImagegen := false
+	if cmd.Flags().Lookup("imagegen") != nil {
+		useImagegen, err = cmd.Flags().GetBool("imagegen")
+		if err != nil {
+			return err
+		}
+	}
+	if useImagegen {
+		opts.Options["use_imagegen_runner"] = true
+	}
+
 	// Fill out the rest of the options based on information about the
 	// model.
 	client, err := api.ClientFromEnvironment()
@@ -1804,6 +1854,216 @@ Environment Variables:
 	cmd.SetUsageTemplate(cmd.UsageTemplate() + envUsage)
 }
 
+// ensureServerRunning checks if the ollama server is running and starts it in the background if not.
+func ensureServerRunning(ctx context.Context) error {
+	client, err := api.ClientFromEnvironment()
+	if err != nil {
+		return err
+	}
+
+	// Check if server is already running
+	if err := client.Heartbeat(ctx); err == nil {
+		return nil // server is already running
+	}
+
+	// Server not running, start it in the background
+	exe, err := os.Executable()
+	if err != nil {
+		return fmt.Errorf("could not find executable: %w", err)
+	}
+
+	serverCmd := exec.CommandContext(ctx, exe, "serve")
+	serverCmd.Env = os.Environ()
+	serverCmd.SysProcAttr = backgroundServerSysProcAttr()
+	if err := serverCmd.Start(); err != nil {
+		return fmt.Errorf("failed to start server: %w", err)
+	}
+
+	// Wait for the server to be ready
+	for {
+		time.Sleep(500 * time.Millisecond)
+		if err := client.Heartbeat(ctx); err == nil {
+			return nil // server has started
+		}
+	}
+}
+
+// runInteractiveTUI runs the main interactive TUI menu.
+func runInteractiveTUI(cmd *cobra.Command) {
+	// Ensure the server is running before showing the TUI
+	if err := ensureServerRunning(cmd.Context()); err != nil {
+		fmt.Fprintf(os.Stderr, "Error starting server: %v\n", err)
+		return
+	}
+
+	// Selector adapters for tui
+	singleSelector := func(title string, items []config.ModelItem) (string, error) {
+		tuiItems := tui.ReorderItems(tui.ConvertItems(items))
+		result, err := tui.SelectSingle(title, tuiItems)
+		if errors.Is(err, tui.ErrCancelled) {
+			return "", config.ErrCancelled
+		}
+		return result, err
+	}
+
+	multiSelector := func(title string, items []config.ModelItem, preChecked []string) ([]string, error) {
+		tuiItems := tui.ReorderItems(tui.ConvertItems(items))
+		result, err := tui.SelectMultiple(title, tuiItems, preChecked)
+		if errors.Is(err, tui.ErrCancelled) {
+			return nil, config.ErrCancelled
+		}
+		return result, err
+	}
+
+	for {
+		result, err := tui.Run()
+		if err != nil {
+			fmt.Fprintf(os.Stderr, "Error: %v\n", err)
+			return
+		}
+
+		runModel := func(modelName string) {
+			client, err := api.ClientFromEnvironment()
+			if err != nil {
+				fmt.Fprintf(os.Stderr, "Error: %v\n", err)
+				return
+			}
+			if err := config.ShowOrPull(cmd.Context(), client, modelName); err != nil {
+				if errors.Is(err, config.ErrCancelled) {
+					return
+				}
+				fmt.Fprintf(os.Stderr, "Error: %v\n", err)
+				return
+			}
+			_ = config.SetLastModel(modelName)
+			opts := runOptions{
+				Model:       modelName,
+				WordWrap:    os.Getenv("TERM") == "xterm-256color",
+				Options:     map[string]any{},
+				ShowConnect: true,
+			}
+			if err := loadOrUnloadModel(cmd, &opts); err != nil {
+				fmt.Fprintf(os.Stderr, "Error loading model: %v\n", err)
+				return
+			}
+			if err := generateInteractive(cmd, opts); err != nil {
+				fmt.Fprintf(os.Stderr, "Error running model: %v\n", err)
+			}
+		}
+
+		launchIntegration := func(name string) bool {
+			// If not configured or model no longer exists, prompt for model selection
+			configuredModel := config.IntegrationModel(name)
+			if configuredModel == "" || !config.ModelExists(cmd.Context(), configuredModel) || config.IsCloudModelDisabled(cmd.Context(), configuredModel) {
+				err := config.ConfigureIntegrationWithSelectors(cmd.Context(), name, singleSelector, multiSelector)
+				if errors.Is(err, config.ErrCancelled) {
+					return false // Return to main menu
+				}
+				if err != nil {
+					fmt.Fprintf(os.Stderr, "Error configuring %s: %v\n", name, err)
+					return true
+				}
+			}
+			if err := config.LaunchIntegration(name); err != nil {
+				fmt.Fprintf(os.Stderr, "Error launching %s: %v\n", name, err)
+			}
+			return true
+		}
+
+		switch result.Selection {
+		case tui.SelectionNone:
+			// User quit
+			return
+		case tui.SelectionRunModel:
+			_ = config.SetLastSelection("run")
+			if modelName := config.LastModel(); modelName != "" && !config.IsCloudModelDisabled(cmd.Context(), modelName) {
+				runModel(modelName)
+			} else {
+				modelName, err := config.SelectModelWithSelector(cmd.Context(), singleSelector)
+				if errors.Is(err, config.ErrCancelled) {
+					continue // Return to main menu
+				}
+				if err != nil {
+					fmt.Fprintf(os.Stderr, "Error selecting model: %v\n", err)
+					continue
+				}
+				runModel(modelName)
+			}
+		case tui.SelectionChangeRunModel:
+			_ = config.SetLastSelection("run")
+			// Use model from modal if selected, otherwise show picker
+			modelName := result.Model
+			if modelName == "" {
+				var err error
+				modelName, err = config.SelectModelWithSelector(cmd.Context(), singleSelector)
+				if errors.Is(err, config.ErrCancelled) {
+					continue // Return to main menu
+				}
+				if err != nil {
+					fmt.Fprintf(os.Stderr, "Error selecting model: %v\n", err)
+					continue
+				}
+			}
+			if config.IsCloudModelDisabled(cmd.Context(), modelName) {
+				continue // Return to main menu
+			}
+			runModel(modelName)
+		case tui.SelectionIntegration:
+			_ = config.SetLastSelection(result.Integration)
+			if !launchIntegration(result.Integration) {
+				continue // Return to main menu
+			}
+		case tui.SelectionChangeIntegration:
+			_ = config.SetLastSelection(result.Integration)
+			if len(result.Models) > 0 {
+				// Filter out cloud-disabled models
+				var filtered []string
+				for _, m := range result.Models {
+					if !config.IsCloudModelDisabled(cmd.Context(), m) {
+						filtered = append(filtered, m)
+					}
+				}
+				if len(filtered) == 0 {
+					continue
+				}
+				result.Models = filtered
+				// Multi-select from modal (Editor integrations)
+				if err := config.SaveAndEditIntegration(result.Integration, result.Models); err != nil {
+					fmt.Fprintf(os.Stderr, "Error configuring %s: %v\n", result.Integration, err)
+					continue
+				}
+				if err := config.LaunchIntegrationWithModel(result.Integration, result.Models[0]); err != nil {
+					fmt.Fprintf(os.Stderr, "Error launching %s: %v\n", result.Integration, err)
+				}
+			} else if result.Model != "" {
+				if config.IsCloudModelDisabled(cmd.Context(), result.Model) {
+					continue
+				}
+				// Single-select from modal - save and launch
+				if err := config.SaveIntegration(result.Integration, []string{result.Model}); err != nil {
+					fmt.Fprintf(os.Stderr, "Error saving config: %v\n", err)
+					continue
+				}
+				if err := config.LaunchIntegrationWithModel(result.Integration, result.Model); err != nil {
+					fmt.Fprintf(os.Stderr, "Error launching %s: %v\n", result.Integration, err)
+				}
+			} else {
+				err := config.ConfigureIntegrationWithSelectors(cmd.Context(), result.Integration, singleSelector, multiSelector)
+				if errors.Is(err, config.ErrCancelled) {
+					continue // Return to main menu
+				}
+				if err != nil {
+					fmt.Fprintf(os.Stderr, "Error configuring %s: %v\n", result.Integration, err)
+					continue
+				}
+				if err := config.LaunchIntegration(result.Integration); err != nil {
+					fmt.Fprintf(os.Stderr, "Error launching %s: %v\n", result.Integration, err)
+				}
+			}
+		}
+	}
+}
+
 func NewCLI() *cobra.Command {
 	log.SetFlags(log.LstdFlags | log.Lshortfile)
 	cobra.EnableCommandSorting = false
@@ -1826,11 +2086,13 @@ func NewCLI() *cobra.Command {
 				return
 			}
 
-			cmd.Print(cmd.UsageString())
+			runInteractiveTUI(cmd)
 		},
 	}
 
 	rootCmd.Flags().BoolP("version", "v", false, "Show version information")
+	rootCmd.Flags().Bool("verbose", false, "Show timings for response")
+	rootCmd.Flags().Bool("nowordwrap", false, "Don't wrap words to the next line automatically")
 
 	createCmd := &cobra.Command{
 		Use:   "create MODEL",
@@ -1890,6 +2152,9 @@ func NewCLI() *cobra.Command {
 	// Image generation flags (width, height, steps, seed, etc.)
 	imagegen.RegisterFlags(runCmd)
 
+	runCmd.Flags().Bool("imagegen", false, "Use the imagegen runner for LLM inference")
+	runCmd.Flags().MarkHidden("imagegen")
+
 	stopCmd := &cobra.Command{
 		Use:     "stop MODEL",
 		Short:   "Stop a running model",
@@ -1934,6 +2199,15 @@ func NewCLI() *cobra.Command {
 		RunE:    SigninHandler,
 	}
 
+	loginCmd := &cobra.Command{
+		Use:     "login",
+		Short:   "Sign in to ollama.com",
+		Hidden:  true,
+		Args:    cobra.ExactArgs(0),
+		PreRunE: checkServerHeartbeat,
+		RunE:    SigninHandler,
+	}
+
 	signoutCmd := &cobra.Command{
 		Use:     "signout",
 		Short:   "Sign out from ollama.com",
@@ -1942,6 +2216,15 @@ func NewCLI() *cobra.Command {
 		RunE:    SignoutHandler,
 	}
 
+	logoutCmd := &cobra.Command{
+		Use:     "logout",
+		Short:   "Sign out from ollama.com",
+		Hidden:  true,
+		Args:    cobra.ExactArgs(0),
+		PreRunE: checkServerHeartbeat,
+		RunE:    SignoutHandler,
+	}
+
 	listCmd := &cobra.Command{
 		Use:     "list",
 		Aliases: []string{"ls"},
@@ -2004,7 +2287,7 @@ func NewCLI() *cobra.Command {
 		switch cmd {
 		case runCmd:
 			imagegen.AppendFlagsDocs(cmd)
-			appendEnvDocs(cmd, []envconfig.EnvVar{envVars["OLLAMA_HOST"], envVars["OLLAMA_NOHISTORY"]})
+			appendEnvDocs(cmd, []envconfig.EnvVar{envVars["OLLAMA_EDITOR"], envVars["OLLAMA_HOST"], envVars["OLLAMA_NOHISTORY"]})
 		case serveCmd:
 			appendEnvDocs(cmd, []envconfig.EnvVar{
 				envVars["OLLAMA_DEBUG"],
@@ -2015,6 +2298,7 @@ func NewCLI() *cobra.Command {
 				envVars["OLLAMA_MAX_QUEUE"],
 				envVars["OLLAMA_MODELS"],
 				envVars["OLLAMA_NUM_PARALLEL"],
+				envVars["OLLAMA_NO_CLOUD"],
 				envVars["OLLAMA_NOPRUNE"],
 				envVars["OLLAMA_ORIGINS"],
 				envVars["OLLAMA_SCHED_SPREAD"],
@@ -2038,13 +2322,15 @@ func NewCLI() *cobra.Command {
 		pullCmd,
 		pushCmd,
 		signinCmd,
+		loginCmd,
 		signoutCmd,
+		logoutCmd,
 		listCmd,
 		psCmd,
 		copyCmd,
 		deleteCmd,
 		runnerCmd,
-		config.LaunchCmd(checkServerHeartbeat),
+		config.LaunchCmd(checkServerHeartbeat, runInteractiveTUI),
 	)
 
 	return rootCmd

cmd/config/claude.go

@@ -126,8 +126,7 @@ func (c *Claude) ConfigureAliases(ctx context.Context, model string, existingAli
 	fmt.Fprintf(os.Stderr, "\n%sModel Configuration%s\n\n", ansiBold, ansiReset)
 
 	if aliases["primary"] == "" || force {
-		primary, err := selectPrompt("Select model:", items)
-		fmt.Fprintf(os.Stderr, "\033[3A\033[J")
+		primary, err := DefaultSingleSelector("Select model:", items)
 		if err != nil {
 			return nil, false, err
 		}

cmd/config/claude_test.go

@@ -140,7 +140,7 @@ func TestClaudeModelEnvVars(t *testing.T) {
 		tmpDir := t.TempDir()
 		setTestHome(t, tmpDir)
 
-		saveIntegration("claude", []string{"qwen3:8b"})
+		SaveIntegration("claude", []string{"qwen3:8b"})
 		saveAliases("claude", map[string]string{"primary": "qwen3:8b"})
 
 		got := envMap(c.modelEnvVars("qwen3:8b"))
@@ -162,7 +162,7 @@ func TestClaudeModelEnvVars(t *testing.T) {
 		tmpDir := t.TempDir()
 		setTestHome(t, tmpDir)
 
-		saveIntegration("claude", []string{"llama3.2:70b"})
+		SaveIntegration("claude", []string{"llama3.2:70b"})
 		saveAliases("claude", map[string]string{
 			"primary": "llama3.2:70b",
 			"fast":    "llama3.2:8b",
@@ -187,7 +187,7 @@ func TestClaudeModelEnvVars(t *testing.T) {
 		tmpDir := t.TempDir()
 		setTestHome(t, tmpDir)
 
-		saveIntegration("claude", []string{"saved-model"})
+		SaveIntegration("claude", []string{"saved-model"})
 		saveAliases("claude", map[string]string{"primary": "saved-model"})
 
 		got := envMap(c.modelEnvVars("different-model"))

cmd/config/config.go

@@ -3,12 +3,15 @@
 package config
 
 import (
+	"context"
 	"encoding/json"
 	"errors"
 	"fmt"
 	"os"
 	"path/filepath"
 	"strings"
+
+	"github.com/ollama/ollama/api"
 )
 
 type integration struct {
@@ -17,7 +20,9 @@ type integration struct {
 }
 
 type config struct {
-	Integrations map[string]*integration `json:"integrations"`
+	Integrations  map[string]*integration `json:"integrations"`
+	LastModel     string                  `json:"last_model,omitempty"`
+	LastSelection string                  `json:"last_selection,omitempty"` // "run" or integration name
 }
 
 func configPath() (string, error) {
@@ -51,8 +56,8 @@ func migrateConfig() (bool, error) {
 		return false, err
 	}
 
-	var js json.RawMessage
-	if err := json.Unmarshal(oldData, &js); err != nil {
+	// Ignore legacy files with invalid JSON and continue startup.
+	if !json.Valid(oldData) {
 		return false, nil
 	}
 
@@ -121,7 +126,7 @@ func save(cfg *config) error {
 	return writeWithBackup(path, data)
 }
 
-func saveIntegration(appName string, models []string) error {
+func SaveIntegration(appName string, models []string) error {
 	if appName == "" {
 		return errors.New("app name cannot be empty")
 	}
@@ -146,6 +151,83 @@ func saveIntegration(appName string, models []string) error {
 	return save(cfg)
 }
 
+// IntegrationModel returns the first configured model for an integration, or empty string if not configured.
+func IntegrationModel(appName string) string {
+	ic, err := loadIntegration(appName)
+	if err != nil || len(ic.Models) == 0 {
+		return ""
+	}
+	return ic.Models[0]
+}
+
+// IntegrationModels returns all configured models for an integration, or nil.
+func IntegrationModels(appName string) []string {
+	ic, err := loadIntegration(appName)
+	if err != nil || len(ic.Models) == 0 {
+		return nil
+	}
+	return ic.Models
+}
+
+// LastModel returns the last model that was run, or empty string if none.
+func LastModel() string {
+	cfg, err := load()
+	if err != nil {
+		return ""
+	}
+	return cfg.LastModel
+}
+
+// SetLastModel saves the last model that was run.
+func SetLastModel(model string) error {
+	cfg, err := load()
+	if err != nil {
+		return err
+	}
+	cfg.LastModel = model
+	return save(cfg)
+}
+
+// LastSelection returns the last menu selection ("run" or integration name), or empty string if none.
+func LastSelection() string {
+	cfg, err := load()
+	if err != nil {
+		return ""
+	}
+	return cfg.LastSelection
+}
+
+// SetLastSelection saves the last menu selection ("run" or integration name).
+func SetLastSelection(selection string) error {
+	cfg, err := load()
+	if err != nil {
+		return err
+	}
+	cfg.LastSelection = selection
+	return save(cfg)
+}
+
+// ModelExists checks if a model exists on the Ollama server.
+func ModelExists(ctx context.Context, name string) bool {
+	if name == "" {
+		return false
+	}
+	client, err := api.ClientFromEnvironment()
+	if err != nil {
+		return false
+	}
+	models, err := client.List(ctx)
+	if err != nil {
+		return false
+	}
+	for _, m := range models.Models {
+		if m.Name == name || strings.HasPrefix(m.Name, name+":") {
+			return true
+		}
+	}
+	return false
+}
+
 func loadIntegration(appName string) (*integration, error) {
 	cfg, err := load()
 	if err != nil {

cmd/config/config_cloud_test.go

@@ -85,7 +85,7 @@ func TestSaveAliases_PreservesModels(t *testing.T) {
 	setTestHome(t, tmpDir)
 
 	// First save integration with models
-	if err := saveIntegration("claude", []string{"model1", "model2"}); err != nil {
+	if err := SaveIntegration("claude", []string{"model1", "model2"}); err != nil {
 		t.Fatalf("failed to save integration: %v", err)
 	}
 
@@ -604,7 +604,7 @@ func TestModelsAndAliasesMustStayInSync(t *testing.T) {
 		}
 
 		// Save integration with same model (this is the pattern we use)
-		if err := saveIntegration("claude", []string{"model-a"}); err != nil {
+		if err := SaveIntegration("claude", []string{"model-a"}); err != nil {
 			t.Fatal(err)
 		}
 
@@ -619,7 +619,7 @@ func TestModelsAndAliasesMustStayInSync(t *testing.T) {
 		setTestHome(t, tmpDir)
 
 		// Simulate out-of-sync state (like manual edit or bug)
-		if err := saveIntegration("claude", []string{"old-model"}); err != nil {
+		if err := SaveIntegration("claude", []string{"old-model"}); err != nil {
 			t.Fatal(err)
 		}
 		if err := saveAliases("claude", map[string]string{"primary": "new-model"}); err != nil {
@@ -634,7 +634,7 @@ func TestModelsAndAliasesMustStayInSync(t *testing.T) {
 		}
 
 		// The fix: when updating aliases, also update models
-		if err := saveIntegration("claude", []string{loaded.Aliases["primary"]}); err != nil {
+		if err := SaveIntegration("claude", []string{loaded.Aliases["primary"]}); err != nil {
 			t.Fatal(err)
 		}
 
@@ -650,7 +650,7 @@ func TestModelsAndAliasesMustStayInSync(t *testing.T) {
 		setTestHome(t, tmpDir)
 
 		// Initial state
-		if err := saveIntegration("claude", []string{"initial-model"}); err != nil {
+		if err := SaveIntegration("claude", []string{"initial-model"}); err != nil {
 			t.Fatal(err)
 		}
 		if err := saveAliases("claude", map[string]string{"primary": "initial-model"}); err != nil {
@@ -662,7 +662,7 @@ func TestModelsAndAliasesMustStayInSync(t *testing.T) {
 		if err := saveAliases("claude", newAliases); err != nil {
 			t.Fatal(err)
 		}
-		if err := saveIntegration("claude", []string{newAliases["primary"]}); err != nil {
+		if err := SaveIntegration("claude", []string{newAliases["primary"]}); err != nil {
 			t.Fatal(err)
 		}
 

cmd/config/config_test.go

@@ -27,7 +27,7 @@ func TestIntegrationConfig(t *testing.T) {
 
 	t.Run("save and load round-trip", func(t *testing.T) {
 		models := []string{"llama3.2", "mistral", "qwen2.5"}
-		if err := saveIntegration("claude", models); err != nil {
+		if err := SaveIntegration("claude", models); err != nil {
 			t.Fatal(err)
 		}
 
@@ -48,7 +48,7 @@ func TestIntegrationConfig(t *testing.T) {
 
 	t.Run("save and load aliases", func(t *testing.T) {
 		models := []string{"llama3.2"}
-		if err := saveIntegration("claude", models); err != nil {
+		if err := SaveIntegration("claude", models); err != nil {
 			t.Fatal(err)
 		}
 		aliases := map[string]string{
@@ -74,14 +74,14 @@ func TestIntegrationConfig(t *testing.T) {
 	})
 
 	t.Run("saveIntegration preserves aliases", func(t *testing.T) {
-		if err := saveIntegration("claude", []string{"model-a"}); err != nil {
+		if err := SaveIntegration("claude", []string{"model-a"}); err != nil {
 			t.Fatal(err)
 		}
 		if err := saveAliases("claude", map[string]string{"primary": "model-a", "fast": "model-small"}); err != nil {
 			t.Fatal(err)
 		}
 
-		if err := saveIntegration("claude", []string{"model-b"}); err != nil {
+		if err := SaveIntegration("claude", []string{"model-b"}); err != nil {
 			t.Fatal(err)
 		}
 		config, err := loadIntegration("claude")
@@ -94,7 +94,7 @@ func TestIntegrationConfig(t *testing.T) {
 	})
 
 	t.Run("defaultModel returns first model", func(t *testing.T) {
-		saveIntegration("codex", []string{"model-a", "model-b"})
+		SaveIntegration("codex", []string{"model-a", "model-b"})
 
 		config, _ := loadIntegration("codex")
 		defaultModel := ""
@@ -118,7 +118,7 @@ func TestIntegrationConfig(t *testing.T) {
 	})
 
 	t.Run("app name is case-insensitive", func(t *testing.T) {
-		saveIntegration("Claude", []string{"model-x"})
+		SaveIntegration("Claude", []string{"model-x"})
 
 		config, err := loadIntegration("claude")
 		if err != nil {
@@ -134,8 +134,8 @@ func TestIntegrationConfig(t *testing.T) {
 	})
 
 	t.Run("multiple integrations in single file", func(t *testing.T) {
-		saveIntegration("app1", []string{"model-1"})
-		saveIntegration("app2", []string{"model-2"})
+		SaveIntegration("app1", []string{"model-1"})
+		SaveIntegration("app2", []string{"model-2"})
 
 		config1, _ := loadIntegration("app1")
 		config2, _ := loadIntegration("app2")
@@ -172,8 +172,8 @@ func TestListIntegrations(t *testing.T) {
 	})
 
 	t.Run("returns all saved integrations", func(t *testing.T) {
-		saveIntegration("claude", []string{"model-1"})
-		saveIntegration("droid", []string{"model-2"})
+		SaveIntegration("claude", []string{"model-1"})
+		SaveIntegration("droid", []string{"model-2"})
 
 		configs, err := listIntegrations()
 		if err != nil {
@@ -261,7 +261,7 @@ func TestSaveIntegration_NilModels(t *testing.T) {
 	tmpDir := t.TempDir()
 	setTestHome(t, tmpDir)
 
-	if err := saveIntegration("test", nil); err != nil {
+	if err := SaveIntegration("test", nil); err != nil {
 		t.Fatalf("saveIntegration with nil models failed: %v", err)
 	}
 
@@ -281,7 +281,7 @@ func TestSaveIntegration_EmptyAppName(t *testing.T) {
 	tmpDir := t.TempDir()
 	setTestHome(t, tmpDir)
 
-	err := saveIntegration("", []string{"model"})
+	err := SaveIntegration("", []string{"model"})
 	if err == nil {
 		t.Error("expected error for empty app name, got nil")
 	}
@@ -511,7 +511,7 @@ func TestMigrateConfig(t *testing.T) {
 		os.WriteFile(filepath.Join(legacyDir, "config.json"), []byte(`{"integrations":{"claude":{"models":["llama3.2"]}}}`), 0o644)
 
 		// load triggers migration, then save should write to new path
-		if err := saveIntegration("codex", []string{"qwen2.5"}); err != nil {
+		if err := SaveIntegration("codex", []string{"qwen2.5"}); err != nil {
 			t.Fatal(err)
 		}
 

cmd/config/droid.go

@@ -3,6 +3,7 @@ package config
 import (
 	"context"
 	"encoding/json"
+	"errors"
 	"fmt"
 	"os"
 	"os/exec"
@@ -51,6 +52,16 @@ func (d *Droid) Run(model string, args []string) error {
 	if config, err := loadIntegration("droid"); err == nil && len(config.Models) > 0 {
 		models = config.Models
 	}
+	var err error
+	models, err = resolveEditorModels("droid", models, func() ([]string, error) {
+		return selectModels(context.Background(), "droid", "")
+	})
+	if errors.Is(err, errCancelled) {
+		return nil
+	}
+	if err != nil {
+		return err
+	}
 	if err := d.Edit(models); err != nil {
 		return fmt.Errorf("setup failed: %w", err)
 	}

cmd/config/openclaw.go

@@ -2,7 +2,9 @@ package config
 
 import (
 	"bytes"
+	"context"
 	"encoding/json"
+	"errors"
 	"fmt"
 	"io"
 	"os"
@@ -32,6 +34,16 @@ func (c *Openclaw) Run(model string, args []string) error {
 	} else if config, err := loadIntegration("clawdbot"); err == nil && len(config.Models) > 0 {
 		models = config.Models
 	}
+	var err error
+	models, err = resolveEditorModels("openclaw", models, func() ([]string, error) {
+		return selectModels(context.Background(), "openclaw", "")
+	})
+	if errors.Is(err, errCancelled) {
+		return nil
+	}
+	if err != nil {
+		return err
+	}
 	if err := c.Edit(models); err != nil {
 		return fmt.Errorf("setup failed: %w", err)
 	}
@@ -58,7 +70,7 @@ func (c *Openclaw) Run(model string, args []string) error {
 	cmd.Stdout = io.MultiWriter(os.Stdout, &outputBuf)
 	cmd.Stderr = io.MultiWriter(os.Stderr, &outputBuf)
 
-	err := cmd.Run()
+	err = cmd.Run()
 	if err != nil && strings.Contains(outputBuf.String(), "Gateway already running") {
 		fmt.Fprintf(os.Stderr, "%sOpenClaw has been configured with Ollama. Gateway is already running.%s\n", ansiGreen, ansiReset)
 		return nil

cmd/config/opencode.go

@@ -3,6 +3,7 @@ package config
 import (
 	"context"
 	"encoding/json"
+	"errors"
 	"fmt"
 	"maps"
 	"os"
@@ -24,25 +25,6 @@ type cloudModelLimit struct {
 	Output  int
 }
 
-// cloudModelLimits maps cloud model base names to their token limits.
-// TODO(parthsareen): grab context/output limits from model info instead of hardcoding
-var cloudModelLimits = map[string]cloudModelLimit{
-	"cogito-2.1:671b":     {Context: 163_840, Output: 65_536},
-	"deepseek-v3.1:671b":  {Context: 163_840, Output: 163_840},
-	"deepseek-v3.2":       {Context: 163_840, Output: 65_536},
-	"glm-4.6":             {Context: 202_752, Output: 131_072},
-	"glm-4.7":             {Context: 202_752, Output: 131_072},
-	"gpt-oss:120b":        {Context: 131_072, Output: 131_072},
-	"gpt-oss:20b":         {Context: 131_072, Output: 131_072},
-	"kimi-k2:1t":          {Context: 262_144, Output: 262_144},
-	"kimi-k2.5":           {Context: 262_144, Output: 262_144},
-	"kimi-k2-thinking":    {Context: 262_144, Output: 262_144},
-	"nemotron-3-nano:30b": {Context: 1_048_576, Output: 131_072},
-	"qwen3-coder:480b":    {Context: 262_144, Output: 65_536},
-	"qwen3-coder-next":    {Context: 262_144, Output: 32_768},
-	"qwen3-next:80b":      {Context: 262_144, Output: 32_768},
-}
-
 // lookupCloudModelLimit returns the token limits for a cloud model.
 // It tries the exact name first, then strips the ":cloud" suffix.
 func lookupCloudModelLimit(name string) (cloudModelLimit, bool) {
@@ -70,6 +52,16 @@ func (o *OpenCode) Run(model string, args []string) error {
 	if config, err := loadIntegration("opencode"); err == nil && len(config.Models) > 0 {
 		models = config.Models
 	}
+	var err error
+	models, err = resolveEditorModels("opencode", models, func() ([]string, error) {
+		return selectModels(context.Background(), "opencode", "")
+	})
+	if errors.Is(err, errCancelled) {
+		return nil
+	}
+	if err != nil {
+		return err
+	}
 	if err := o.Edit(models); err != nil {
 		return fmt.Errorf("setup failed: %w", err)
 	}

cmd/config/pi.go

@@ -0,0 +1,237 @@
+package config
+
+import (
+	"context"
+	"encoding/json"
+	"fmt"
+	"net/http"
+	"os"
+	"os/exec"
+	"path/filepath"
+	"slices"
+	"strings"
+
+	"github.com/ollama/ollama/api"
+	"github.com/ollama/ollama/envconfig"
+	"github.com/ollama/ollama/types/model"
+)
+
+// Pi implements Runner and Editor for Pi (Pi Coding Agent) integration
+type Pi struct{}
+
+func (p *Pi) String() string { return "Pi" }
+
+func (p *Pi) Run(model string, args []string) error {
+	if _, err := exec.LookPath("pi"); err != nil {
+		return fmt.Errorf("pi is not installed, install with: npm install -g @mariozechner/pi-coding-agent")
+	}
+
+	// Call Edit() to ensure config is up-to-date before launch
+	models := []string{model}
+	if config, err := loadIntegration("pi"); err == nil && len(config.Models) > 0 {
+		models = config.Models
+	}
+	if err := p.Edit(models); err != nil {
+		return fmt.Errorf("setup failed: %w", err)
+	}
+
+	cmd := exec.Command("pi", args...)
+	cmd.Stdin = os.Stdin
+	cmd.Stdout = os.Stdout
+	cmd.Stderr = os.Stderr
+	return cmd.Run()
+}
+
+func (p *Pi) Paths() []string {
+	home, err := os.UserHomeDir()
+	if err != nil {
+		return nil
+	}
+
+	var paths []string
+	modelsPath := filepath.Join(home, ".pi", "agent", "models.json")
+	if _, err := os.Stat(modelsPath); err == nil {
+		paths = append(paths, modelsPath)
+	}
+	settingsPath := filepath.Join(home, ".pi", "agent", "settings.json")
+	if _, err := os.Stat(settingsPath); err == nil {
+		paths = append(paths, settingsPath)
+	}
+	return paths
+}
+
+func (p *Pi) Edit(models []string) error {
+	if len(models) == 0 {
+		return nil
+	}
+
+	home, err := os.UserHomeDir()
+	if err != nil {
+		return err
+	}
+
+	configPath := filepath.Join(home, ".pi", "agent", "models.json")
+	if err := os.MkdirAll(filepath.Dir(configPath), 0o755); err != nil {
+		return err
+	}
+
+	config := make(map[string]any)
+	if data, err := os.ReadFile(configPath); err == nil {
+		_ = json.Unmarshal(data, &config)
+	}
+
+	providers, ok := config["providers"].(map[string]any)
+	if !ok {
+		providers = make(map[string]any)
+	}
+
+	ollama, ok := providers["ollama"].(map[string]any)
+	if !ok {
+		ollama = map[string]any{
+			"baseUrl": envconfig.Host().String() + "/v1",
+			"api":     "openai-completions",
+			"apiKey":  "ollama",
+		}
+	}
+
+	existingModels, ok := ollama["models"].([]any)
+	if !ok {
+		existingModels = make([]any, 0)
+	}
+
+	// Build set of selected models to track which need to be added
+	selectedSet := make(map[string]bool, len(models))
+	for _, m := range models {
+		selectedSet[m] = true
+	}
+
+	// Build new models list:
+	// 1. Keep user-managed models (no _launch marker) - untouched
+	// 2. Keep ollama-managed models (_launch marker) that are still selected
+	// 3. Add new ollama-managed models
+	var newModels []any
+	for _, m := range existingModels {
+		if modelObj, ok := m.(map[string]any); ok {
+			if id, ok := modelObj["id"].(string); ok {
+				// User-managed model (no _launch marker) - always preserve
+				if !isPiOllamaModel(modelObj) {
+					newModels = append(newModels, m)
+				} else if selectedSet[id] {
+					// Ollama-managed and still selected - keep it
+					newModels = append(newModels, m)
+					selectedSet[id] = false
+				}
+			}
+		}
+	}
+
+	// Add newly selected models that weren't already in the list
+	client := api.NewClient(envconfig.Host(), http.DefaultClient)
+	ctx := context.Background()
+	for _, model := range models {
+		if selectedSet[model] {
+			newModels = append(newModels, createConfig(ctx, client, model))
+		}
+	}
+
+	ollama["models"] = newModels
+	providers["ollama"] = ollama
+	config["providers"] = providers
+
+	configData, err := json.MarshalIndent(config, "", "  ")
+	if err != nil {
+		return err
+	}
+	if err := writeWithBackup(configPath, configData); err != nil {
+		return err
+	}
+
+	// Update settings.json with default provider and model
+	settingsPath := filepath.Join(home, ".pi", "agent", "settings.json")
+	settings := make(map[string]any)
+	if data, err := os.ReadFile(settingsPath); err == nil {
+		_ = json.Unmarshal(data, &settings)
+	}
+
+	settings["defaultProvider"] = "ollama"
+	settings["defaultModel"] = models[0]
+
+	settingsData, err := json.MarshalIndent(settings, "", "  ")
+	if err != nil {
+		return err
+	}
+	return writeWithBackup(settingsPath, settingsData)
+}
+
+func (p *Pi) Models() []string {
+	home, err := os.UserHomeDir()
+	if err != nil {
+		return nil
+	}
+
+	configPath := filepath.Join(home, ".pi", "agent", "models.json")
+	config, err := readJSONFile(configPath)
+	if err != nil {
+		return nil
+	}
+
+	providers, _ := config["providers"].(map[string]any)
+	ollama, _ := providers["ollama"].(map[string]any)
+	models, _ := ollama["models"].([]any)
+
+	var result []string
+	for _, m := range models {
+		if modelObj, ok := m.(map[string]any); ok {
+			if id, ok := modelObj["id"].(string); ok {
+				result = append(result, id)
+			}
+		}
+	}
+	slices.Sort(result)
+	return result
+}
+
+// isPiOllamaModel reports whether a model config entry is managed by ollama launch
+func isPiOllamaModel(cfg map[string]any) bool {
+	if v, ok := cfg["_launch"].(bool); ok && v {
+		return true
+	}
+	return false
+}
+
+// createConfig builds Pi model config with capability detection
+func createConfig(ctx context.Context, client *api.Client, modelID string) map[string]any {
+	cfg := map[string]any{
+		"id":      modelID,
+		"_launch": true,
+	}
+
+	resp, err := client.Show(ctx, &api.ShowRequest{Model: modelID})
+	if err != nil {
+		return cfg
+	}
+
+	// Set input types based on vision capability
+	if slices.Contains(resp.Capabilities, model.CapabilityVision) {
+		cfg["input"] = []string{"text", "image"}
+	} else {
+		cfg["input"] = []string{"text"}
+	}
+
+	// Set reasoning based on thinking capability
+	if slices.Contains(resp.Capabilities, model.CapabilityThinking) {
+		cfg["reasoning"] = true
+	}
+
+	// Extract context window from ModelInfo
+	for key, val := range resp.ModelInfo {
+		if strings.HasSuffix(key, ".context_length") {
+			if ctxLen, ok := val.(float64); ok && ctxLen > 0 {
+				cfg["contextWindow"] = int(ctxLen)
+			}
+			break
+		}
+	}
+
+	return cfg
+}

cmd/config/pi_test.go

@@ -0,0 +1,830 @@
+package config
+
+import (
+	"context"
+	"encoding/json"
+	"fmt"
+	"net/http"
+	"net/http/httptest"
+	"net/url"
+	"os"
+	"path/filepath"
+	"testing"
+
+	"github.com/ollama/ollama/api"
+	"github.com/ollama/ollama/types/model"
+)
+
+func TestPiIntegration(t *testing.T) {
+	pi := &Pi{}
+
+	t.Run("String", func(t *testing.T) {
+		if got := pi.String(); got != "Pi" {
+			t.Errorf("String() = %q, want %q", got, "Pi")
+		}
+	})
+
+	t.Run("implements Runner", func(t *testing.T) {
+		var _ Runner = pi
+	})
+
+	t.Run("implements Editor", func(t *testing.T) {
+		var _ Editor = pi
+	})
+}
+
+func TestPiPaths(t *testing.T) {
+	pi := &Pi{}
+
+	t.Run("returns empty when no config exists", func(t *testing.T) {
+		tmpDir := t.TempDir()
+		setTestHome(t, tmpDir)
+
+		paths := pi.Paths()
+		if len(paths) != 0 {
+			t.Errorf("Paths() = %v, want empty", paths)
+		}
+	})
+
+	t.Run("returns path when config exists", func(t *testing.T) {
+		tmpDir := t.TempDir()
+		setTestHome(t, tmpDir)
+
+		configDir := filepath.Join(tmpDir, ".pi", "agent")
+		if err := os.MkdirAll(configDir, 0o755); err != nil {
+			t.Fatal(err)
+		}
+		configPath := filepath.Join(configDir, "models.json")
+		if err := os.WriteFile(configPath, []byte("{}"), 0o644); err != nil {
+			t.Fatal(err)
+		}
+
+		paths := pi.Paths()
+		if len(paths) != 1 || paths[0] != configPath {
+			t.Errorf("Paths() = %v, want [%s]", paths, configPath)
+		}
+	})
+}
+
+func TestPiEdit(t *testing.T) {
+	// Mock Ollama server for createConfig calls during Edit
+	srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+		if r.URL.Path == "/api/show" {
+			fmt.Fprintf(w, `{"capabilities":[],"model_info":{}}`)
+			return
+		}
+		w.WriteHeader(http.StatusNotFound)
+	}))
+	defer srv.Close()
+	t.Setenv("OLLAMA_HOST", srv.URL)
+
+	pi := &Pi{}
+	tmpDir := t.TempDir()
+	setTestHome(t, tmpDir)
+
+	configDir := filepath.Join(tmpDir, ".pi", "agent")
+	configPath := filepath.Join(configDir, "models.json")
+
+	cleanup := func() {
+		os.RemoveAll(configDir)
+	}
+
+	readConfig := func() map[string]any {
+		data, _ := os.ReadFile(configPath)
+		var cfg map[string]any
+		json.Unmarshal(data, &cfg)
+		return cfg
+	}
+
+	t.Run("returns nil for empty models", func(t *testing.T) {
+		if err := pi.Edit([]string{}); err != nil {
+			t.Errorf("Edit([]) error = %v, want nil", err)
+		}
+	})
+
+	t.Run("creates config with models", func(t *testing.T) {
+		cleanup()
+
+		models := []string{"llama3.2", "qwen3:8b"}
+		if err := pi.Edit(models); err != nil {
+			t.Fatalf("Edit() error = %v", err)
+		}
+
+		cfg := readConfig()
+
+		providers, ok := cfg["providers"].(map[string]any)
+		if !ok {
+			t.Error("Config missing providers")
+		}
+
+		ollama, ok := providers["ollama"].(map[string]any)
+		if !ok {
+			t.Error("Providers missing ollama")
+		}
+
+		modelsArray, ok := ollama["models"].([]any)
+		if !ok || len(modelsArray) != 2 {
+			t.Errorf("Expected 2 models, got %v", modelsArray)
+		}
+
+		if ollama["baseUrl"] == nil {
+			t.Error("Missing baseUrl")
+		}
+		if ollama["api"] != "openai-completions" {
+			t.Errorf("Expected api=openai-completions, got %v", ollama["api"])
+		}
+		if ollama["apiKey"] != "ollama" {
+			t.Errorf("Expected apiKey=ollama, got %v", ollama["apiKey"])
+		}
+	})
+
+	t.Run("updates existing config preserving ollama provider settings", func(t *testing.T) {
+		cleanup()
+		os.MkdirAll(configDir, 0o755)
+
+		existingConfig := `{
+			"providers": {
+				"ollama": {
+					"baseUrl": "http://custom:8080/v1",
+					"api": "custom-api",
+					"apiKey": "custom-key",
+					"models": [
+						{"id": "old-model", "_launch": true}
+					]
+				}
+			}
+		}`
+		if err := os.WriteFile(configPath, []byte(existingConfig), 0o644); err != nil {
+			t.Fatal(err)
+		}
+
+		models := []string{"new-model"}
+		if err := pi.Edit(models); err != nil {
+			t.Fatalf("Edit() error = %v", err)
+		}
+
+		cfg := readConfig()
+		providers := cfg["providers"].(map[string]any)
+		ollama := providers["ollama"].(map[string]any)
+
+		if ollama["baseUrl"] != "http://custom:8080/v1" {
+			t.Errorf("Custom baseUrl not preserved, got %v", ollama["baseUrl"])
+		}
+		if ollama["api"] != "custom-api" {
+			t.Errorf("Custom api not preserved, got %v", ollama["api"])
+		}
+		if ollama["apiKey"] != "custom-key" {
+			t.Errorf("Custom apiKey not preserved, got %v", ollama["apiKey"])
+		}
+
+		modelsArray := ollama["models"].([]any)
+		if len(modelsArray) != 1 {
+			t.Errorf("Expected 1 model after update, got %d", len(modelsArray))
+		} else {
+			modelEntry := modelsArray[0].(map[string]any)
+			if modelEntry["id"] != "new-model" {
+				t.Errorf("Expected new-model, got %v", modelEntry["id"])
+			}
+			// Verify _launch marker is present
+			if modelEntry["_launch"] != true {
+				t.Errorf("Expected _launch marker to be true")
+			}
+		}
+	})
+
+	t.Run("replaces old models with new ones", func(t *testing.T) {
+		cleanup()
+		os.MkdirAll(configDir, 0o755)
+
+		// Old models must have _launch marker to be managed by us
+		existingConfig := `{
+			"providers": {
+				"ollama": {
+					"baseUrl": "http://localhost:11434/v1",
+					"api": "openai-completions",
+					"apiKey": "ollama",
+					"models": [
+						{"id": "old-model-1", "_launch": true},
+						{"id": "old-model-2", "_launch": true}
+					]
+				}
+			}
+		}`
+		if err := os.WriteFile(configPath, []byte(existingConfig), 0o644); err != nil {
+			t.Fatal(err)
+		}
+
+		newModels := []string{"new-model-1", "new-model-2"}
+		if err := pi.Edit(newModels); err != nil {
+			t.Fatalf("Edit() error = %v", err)
+		}
+
+		cfg := readConfig()
+		providers := cfg["providers"].(map[string]any)
+		ollama := providers["ollama"].(map[string]any)
+		modelsArray := ollama["models"].([]any)
+
+		if len(modelsArray) != 2 {
+			t.Errorf("Expected 2 models, got %d", len(modelsArray))
+		}
+
+		modelIDs := make(map[string]bool)
+		for _, m := range modelsArray {
+			modelObj := m.(map[string]any)
+			id := modelObj["id"].(string)
+			modelIDs[id] = true
+		}
+
+		if !modelIDs["new-model-1"] || !modelIDs["new-model-2"] {
+			t.Errorf("Expected new models, got %v", modelIDs)
+		}
+		if modelIDs["old-model-1"] || modelIDs["old-model-2"] {
+			t.Errorf("Old models should have been removed, got %v", modelIDs)
+		}
+	})
+
+	t.Run("handles partial overlap in model list", func(t *testing.T) {
+		cleanup()
+		os.MkdirAll(configDir, 0o755)
+
+		// Models must have _launch marker to be managed
+		existingConfig := `{
+			"providers": {
+				"ollama": {
+					"baseUrl": "http://localhost:11434/v1",
+					"api": "openai-completions",
+					"apiKey": "ollama",
+					"models": [
+						{"id": "keep-model", "_launch": true},
+						{"id": "remove-model", "_launch": true}
+					]
+				}
+			}
+		}`
+		if err := os.WriteFile(configPath, []byte(existingConfig), 0o644); err != nil {
+			t.Fatal(err)
+		}
+
+		newModels := []string{"keep-model", "add-model"}
+		if err := pi.Edit(newModels); err != nil {
+			t.Fatalf("Edit() error = %v", err)
+		}
+
+		cfg := readConfig()
+		providers := cfg["providers"].(map[string]any)
+		ollama := providers["ollama"].(map[string]any)
+		modelsArray := ollama["models"].([]any)
+
+		if len(modelsArray) != 2 {
+			t.Errorf("Expected 2 models, got %d", len(modelsArray))
+		}
+
+		modelIDs := make(map[string]bool)
+		for _, m := range modelsArray {
+			modelObj := m.(map[string]any)
+			id := modelObj["id"].(string)
+			modelIDs[id] = true
+		}
+
+		if !modelIDs["keep-model"] || !modelIDs["add-model"] {
+			t.Errorf("Expected keep-model and add-model, got %v", modelIDs)
+		}
+		if modelIDs["remove-model"] {
+			t.Errorf("remove-model should have been removed")
+		}
+	})
+
+	t.Run("handles corrupt config gracefully", func(t *testing.T) {
+		cleanup()
+		os.MkdirAll(configDir, 0o755)
+
+		if err := os.WriteFile(configPath, []byte("{invalid json}"), 0o644); err != nil {
+			t.Fatal(err)
+		}
+
+		models := []string{"test-model"}
+		if err := pi.Edit(models); err != nil {
+			t.Fatalf("Edit() should not fail with corrupt config, got %v", err)
+		}
+
+		data, err := os.ReadFile(configPath)
+		if err != nil {
+			t.Fatalf("Failed to read config: %v", err)
+		}
+
+		var cfg map[string]any
+		if err := json.Unmarshal(data, &cfg); err != nil {
+			t.Fatalf("Config should be valid after Edit, got parse error: %v", err)
+		}
+
+		providers := cfg["providers"].(map[string]any)
+		ollama := providers["ollama"].(map[string]any)
+		modelsArray := ollama["models"].([]any)
+
+		if len(modelsArray) != 1 {
+			t.Errorf("Expected 1 model, got %d", len(modelsArray))
+		}
+	})
+
+	// CRITICAL SAFETY TEST: verifies we don't stomp on user configs
+	t.Run("preserves user-managed models without _launch marker", func(t *testing.T) {
+		cleanup()
+		os.MkdirAll(configDir, 0o755)
+
+		// User has manually configured models in ollama provider (no _launch marker)
+		existingConfig := `{
+			"providers": {
+				"ollama": {
+					"baseUrl": "http://localhost:11434/v1",
+					"api": "openai-completions",
+					"apiKey": "ollama",
+					"models": [
+						{"id": "user-model-1"},
+						{"id": "user-model-2", "customField": "preserved"},
+						{"id": "ollama-managed", "_launch": true}
+					]
+				}
+			}
+		}`
+		if err := os.WriteFile(configPath, []byte(existingConfig), 0o644); err != nil {
+			t.Fatal(err)
+		}
+
+		// Add a new ollama-managed model
+		newModels := []string{"new-ollama-model"}
+		if err := pi.Edit(newModels); err != nil {
+			t.Fatalf("Edit() error = %v", err)
+		}
+
+		cfg := readConfig()
+		providers := cfg["providers"].(map[string]any)
+		ollama := providers["ollama"].(map[string]any)
+		modelsArray := ollama["models"].([]any)
+
+		// Should have: new-ollama-model (managed) + 2 user models (preserved)
+		if len(modelsArray) != 3 {
+			t.Errorf("Expected 3 models (1 new managed + 2 preserved user models), got %d", len(modelsArray))
+		}
+
+		modelIDs := make(map[string]map[string]any)
+		for _, m := range modelsArray {
+			modelObj := m.(map[string]any)
+			id := modelObj["id"].(string)
+			modelIDs[id] = modelObj
+		}
+
+		// Verify new model has _launch marker
+		if m, ok := modelIDs["new-ollama-model"]; !ok {
+			t.Errorf("new-ollama-model should be present")
+		} else if m["_launch"] != true {
+			t.Errorf("new-ollama-model should have _launch marker")
+		}
+
+		// Verify user models are preserved
+		if _, ok := modelIDs["user-model-1"]; !ok {
+			t.Errorf("user-model-1 should be preserved")
+		}
+		if _, ok := modelIDs["user-model-2"]; !ok {
+			t.Errorf("user-model-2 should be preserved")
+		} else if modelIDs["user-model-2"]["customField"] != "preserved" {
+			t.Errorf("user-model-2 customField should be preserved")
+		}
+
+		// Verify old ollama-managed model is removed (not in new list)
+		if _, ok := modelIDs["ollama-managed"]; ok {
+			t.Errorf("ollama-managed should be removed (old ollama model not in new selection)")
+		}
+	})
+
+	t.Run("updates settings.json with default provider and model", func(t *testing.T) {
+		cleanup()
+		os.MkdirAll(configDir, 0o755)
+
+		// Create existing settings with other fields
+		settingsPath := filepath.Join(configDir, "settings.json")
+		existingSettings := `{
+			"theme": "dark",
+			"customSetting": "value",
+			"defaultProvider": "anthropic",
+			"defaultModel": "claude-3"
+		}`
+		if err := os.WriteFile(settingsPath, []byte(existingSettings), 0o644); err != nil {
+			t.Fatal(err)
+		}
+
+		models := []string{"llama3.2"}
+		if err := pi.Edit(models); err != nil {
+			t.Fatalf("Edit() error = %v", err)
+		}
+
+		data, err := os.ReadFile(settingsPath)
+		if err != nil {
+			t.Fatalf("Failed to read settings: %v", err)
+		}
+
+		var settings map[string]any
+		if err := json.Unmarshal(data, &settings); err != nil {
+			t.Fatalf("Failed to parse settings: %v", err)
+		}
+
+		// Verify defaultProvider is set to ollama
+		if settings["defaultProvider"] != "ollama" {
+			t.Errorf("defaultProvider = %v, want ollama", settings["defaultProvider"])
+		}
+
+		// Verify defaultModel is set to first model
+		if settings["defaultModel"] != "llama3.2" {
+			t.Errorf("defaultModel = %v, want llama3.2", settings["defaultModel"])
+		}
+
+		// Verify other fields are preserved
+		if settings["theme"] != "dark" {
+			t.Errorf("theme = %v, want dark (preserved)", settings["theme"])
+		}
+		if settings["customSetting"] != "value" {
+			t.Errorf("customSetting = %v, want value (preserved)", settings["customSetting"])
+		}
+	})
+
+	t.Run("creates settings.json if it does not exist", func(t *testing.T) {
+		cleanup()
+		os.MkdirAll(configDir, 0o755)
+
+		models := []string{"qwen3:8b"}
+		if err := pi.Edit(models); err != nil {
+			t.Fatalf("Edit() error = %v", err)
+		}
+
+		settingsPath := filepath.Join(configDir, "settings.json")
+		data, err := os.ReadFile(settingsPath)
+		if err != nil {
+			t.Fatalf("settings.json should be created: %v", err)
+		}
+
+		var settings map[string]any
+		if err := json.Unmarshal(data, &settings); err != nil {
+			t.Fatalf("Failed to parse settings: %v", err)
+		}
+
+		if settings["defaultProvider"] != "ollama" {
+			t.Errorf("defaultProvider = %v, want ollama", settings["defaultProvider"])
+		}
+		if settings["defaultModel"] != "qwen3:8b" {
+			t.Errorf("defaultModel = %v, want qwen3:8b", settings["defaultModel"])
+		}
+	})
+
+	t.Run("handles corrupt settings.json gracefully", func(t *testing.T) {
+		cleanup()
+		os.MkdirAll(configDir, 0o755)
+
+		// Create corrupt settings
+		settingsPath := filepath.Join(configDir, "settings.json")
+		if err := os.WriteFile(settingsPath, []byte("{invalid"), 0o644); err != nil {
+			t.Fatal(err)
+		}
+
+		models := []string{"test-model"}
+		if err := pi.Edit(models); err != nil {
+			t.Fatalf("Edit() should not fail with corrupt settings, got %v", err)
+		}
+
+		data, err := os.ReadFile(settingsPath)
+		if err != nil {
+			t.Fatalf("Failed to read settings: %v", err)
+		}
+
+		var settings map[string]any
+		if err := json.Unmarshal(data, &settings); err != nil {
+			t.Fatalf("settings.json should be valid after Edit, got parse error: %v", err)
+		}
+
+		if settings["defaultProvider"] != "ollama" {
+			t.Errorf("defaultProvider = %v, want ollama", settings["defaultProvider"])
+		}
+		if settings["defaultModel"] != "test-model" {
+			t.Errorf("defaultModel = %v, want test-model", settings["defaultModel"])
+		}
+	})
+}
+
+func TestPiModels(t *testing.T) {
+	pi := &Pi{}
+
+	t.Run("returns nil when no config exists", func(t *testing.T) {
+		tmpDir := t.TempDir()
+		setTestHome(t, tmpDir)
+
+		models := pi.Models()
+		if models != nil {
+			t.Errorf("Models() = %v, want nil", models)
+		}
+	})
+
+	t.Run("returns models from config", func(t *testing.T) {
+		tmpDir := t.TempDir()
+		setTestHome(t, tmpDir)
+
+		configDir := filepath.Join(tmpDir, ".pi", "agent")
+		if err := os.MkdirAll(configDir, 0o755); err != nil {
+			t.Fatal(err)
+		}
+		config := `{
+			"providers": {
+				"ollama": {
+					"models": [
+						{"id": "llama3.2"},
+						{"id": "qwen3:8b"}
+					]
+				}
+			}
+		}`
+		configPath := filepath.Join(configDir, "models.json")
+		if err := os.WriteFile(configPath, []byte(config), 0o644); err != nil {
+			t.Fatal(err)
+		}
+
+		models := pi.Models()
+		if len(models) != 2 {
+			t.Errorf("Models() returned %d models, want 2", len(models))
+		}
+		if models[0] != "llama3.2" || models[1] != "qwen3:8b" {
+			t.Errorf("Models() = %v, want [llama3.2 qwen3:8b] (sorted)", models)
+		}
+	})
+
+	t.Run("returns sorted models", func(t *testing.T) {
+		tmpDir := t.TempDir()
+		setTestHome(t, tmpDir)
+
+		configDir := filepath.Join(tmpDir, ".pi", "agent")
+		if err := os.MkdirAll(configDir, 0o755); err != nil {
+			t.Fatal(err)
+		}
+		config := `{
+			"providers": {
+				"ollama": {
+					"models": [
+						{"id": "z-model"},
+						{"id": "a-model"},
+						{"id": "m-model"}
+					]
+				}
+			}
+		}`
+		configPath := filepath.Join(configDir, "models.json")
+		if err := os.WriteFile(configPath, []byte(config), 0o644); err != nil {
+			t.Fatal(err)
+		}
+
+		models := pi.Models()
+		if models[0] != "a-model" || models[1] != "m-model" || models[2] != "z-model" {
+			t.Errorf("Models() = %v, want [a-model m-model z-model] (sorted)", models)
+		}
+	})
+
+	t.Run("returns nil when models array is missing", func(t *testing.T) {
+		tmpDir := t.TempDir()
+		setTestHome(t, tmpDir)
+
+		configDir := filepath.Join(tmpDir, ".pi", "agent")
+		if err := os.MkdirAll(configDir, 0o755); err != nil {
+			t.Fatal(err)
+		}
+		config := `{
+			"providers": {
+				"ollama": {}
+			}
+		}`
+		configPath := filepath.Join(configDir, "models.json")
+		if err := os.WriteFile(configPath, []byte(config), 0o644); err != nil {
+			t.Fatal(err)
+		}
+
+		models := pi.Models()
+		if models != nil {
+			t.Errorf("Models() = %v, want nil when models array is missing", models)
+		}
+	})
+
+	t.Run("handles corrupt config gracefully", func(t *testing.T) {
+		tmpDir := t.TempDir()
+		setTestHome(t, tmpDir)
+
+		configDir := filepath.Join(tmpDir, ".pi", "agent")
+		if err := os.MkdirAll(configDir, 0o755); err != nil {
+			t.Fatal(err)
+		}
+		configPath := filepath.Join(configDir, "models.json")
+		if err := os.WriteFile(configPath, []byte("{invalid json}"), 0o644); err != nil {
+			t.Fatal(err)
+		}
+
+		models := pi.Models()
+		if models != nil {
+			t.Errorf("Models() = %v, want nil for corrupt config", models)
+		}
+	})
+}
+
+func TestIsPiOllamaModel(t *testing.T) {
+	tests := []struct {
+		name string
+		cfg  map[string]any
+		want bool
+	}{
+		{"with _launch true", map[string]any{"id": "m", "_launch": true}, true},
+		{"with _launch false", map[string]any{"id": "m", "_launch": false}, false},
+		{"without _launch", map[string]any{"id": "m"}, false},
+		{"with _launch non-bool", map[string]any{"id": "m", "_launch": "yes"}, false},
+		{"empty map", map[string]any{}, false},
+	}
+
+	for _, tt := range tests {
+		t.Run(tt.name, func(t *testing.T) {
+			if got := isPiOllamaModel(tt.cfg); got != tt.want {
+				t.Errorf("isPiOllamaModel(%v) = %v, want %v", tt.cfg, got, tt.want)
+			}
+		})
+	}
+}
+
+func TestCreateConfig(t *testing.T) {
+	t.Run("sets vision input when model has vision capability", func(t *testing.T) {
+		srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+			if r.URL.Path == "/api/show" {
+				fmt.Fprintf(w, `{"capabilities":["vision"],"model_info":{}}`)
+				return
+			}
+			w.WriteHeader(http.StatusNotFound)
+		}))
+		defer srv.Close()
+
+		u, _ := url.Parse(srv.URL)
+		client := api.NewClient(u, srv.Client())
+
+		cfg := createConfig(context.Background(), client, "llava:7b")
+
+		if cfg["id"] != "llava:7b" {
+			t.Errorf("id = %v, want llava:7b", cfg["id"])
+		}
+		if cfg["_launch"] != true {
+			t.Error("expected _launch = true")
+		}
+		input, ok := cfg["input"].([]string)
+		if !ok || len(input) != 2 || input[0] != "text" || input[1] != "image" {
+			t.Errorf("input = %v, want [text image]", cfg["input"])
+		}
+	})
+
+	t.Run("sets text-only input when model lacks vision", func(t *testing.T) {
+		srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+			if r.URL.Path == "/api/show" {
+				fmt.Fprintf(w, `{"capabilities":["completion"],"model_info":{}}`)
+				return
+			}
+			w.WriteHeader(http.StatusNotFound)
+		}))
+		defer srv.Close()
+
+		u, _ := url.Parse(srv.URL)
+		client := api.NewClient(u, srv.Client())
+
+		cfg := createConfig(context.Background(), client, "llama3.2")
+
+		input, ok := cfg["input"].([]string)
+		if !ok || len(input) != 1 || input[0] != "text" {
+			t.Errorf("input = %v, want [text]", cfg["input"])
+		}
+		if _, ok := cfg["reasoning"]; ok {
+			t.Error("reasoning should not be set for non-thinking model")
+		}
+	})
+
+	t.Run("sets reasoning when model has thinking capability", func(t *testing.T) {
+		srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+			if r.URL.Path == "/api/show" {
+				fmt.Fprintf(w, `{"capabilities":["thinking"],"model_info":{}}`)
+				return
+			}
+			w.WriteHeader(http.StatusNotFound)
+		}))
+		defer srv.Close()
+
+		u, _ := url.Parse(srv.URL)
+		client := api.NewClient(u, srv.Client())
+
+		cfg := createConfig(context.Background(), client, "qwq")
+
+		if cfg["reasoning"] != true {
+			t.Error("expected reasoning = true for thinking model")
+		}
+	})
+
+	t.Run("extracts context window from model info", func(t *testing.T) {
+		srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+			if r.URL.Path == "/api/show" {
+				fmt.Fprintf(w, `{"capabilities":[],"model_info":{"llama.context_length":131072}}`)
+				return
+			}
+			w.WriteHeader(http.StatusNotFound)
+		}))
+		defer srv.Close()
+
+		u, _ := url.Parse(srv.URL)
+		client := api.NewClient(u, srv.Client())
+
+		cfg := createConfig(context.Background(), client, "llama3.2")
+
+		if cfg["contextWindow"] != 131072 {
+			t.Errorf("contextWindow = %v, want 131072", cfg["contextWindow"])
+		}
+	})
+
+	t.Run("handles all capabilities together", func(t *testing.T) {
+		srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+			if r.URL.Path == "/api/show" {
+				fmt.Fprintf(w, `{"capabilities":["vision","thinking"],"model_info":{"qwen3.context_length":32768}}`)
+				return
+			}
+			w.WriteHeader(http.StatusNotFound)
+		}))
+		defer srv.Close()
+
+		u, _ := url.Parse(srv.URL)
+		client := api.NewClient(u, srv.Client())
+
+		cfg := createConfig(context.Background(), client, "qwen3-vision")
+
+		input := cfg["input"].([]string)
+		if len(input) != 2 || input[0] != "text" || input[1] != "image" {
+			t.Errorf("input = %v, want [text image]", input)
+		}
+		if cfg["reasoning"] != true {
+			t.Error("expected reasoning = true")
+		}
+		if cfg["contextWindow"] != 32768 {
+			t.Errorf("contextWindow = %v, want 32768", cfg["contextWindow"])
+		}
+	})
+
+	t.Run("returns minimal config when show fails", func(t *testing.T) {
+		srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+			w.WriteHeader(http.StatusNotFound)
+			fmt.Fprintf(w, `{"error":"model not found"}`)
+		}))
+		defer srv.Close()
+
+		u, _ := url.Parse(srv.URL)
+		client := api.NewClient(u, srv.Client())
+
+		cfg := createConfig(context.Background(), client, "missing-model")
+
+		if cfg["id"] != "missing-model" {
+			t.Errorf("id = %v, want missing-model", cfg["id"])
+		}
+		if cfg["_launch"] != true {
+			t.Error("expected _launch = true")
+		}
+		// Should not have capability fields
+		if _, ok := cfg["input"]; ok {
+			t.Error("input should not be set when show fails")
+		}
+		if _, ok := cfg["reasoning"]; ok {
+			t.Error("reasoning should not be set when show fails")
+		}
+		if _, ok := cfg["contextWindow"]; ok {
+			t.Error("contextWindow should not be set when show fails")
+		}
+	})
+
+	t.Run("skips zero context length", func(t *testing.T) {
+		srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+			if r.URL.Path == "/api/show" {
+				fmt.Fprintf(w, `{"capabilities":[],"model_info":{"llama.context_length":0}}`)
+				return
+			}
+			w.WriteHeader(http.StatusNotFound)
+		}))
+		defer srv.Close()
+
+		u, _ := url.Parse(srv.URL)
+		client := api.NewClient(u, srv.Client())
+
+		cfg := createConfig(context.Background(), client, "test-model")
+
+		if _, ok := cfg["contextWindow"]; ok {
+			t.Error("contextWindow should not be set for zero value")
+		}
+	})
+}
+
+// Ensure Capability constants used in createConfig match expected values
+func TestPiCapabilityConstants(t *testing.T) {
+	if model.CapabilityVision != "vision" {
+		t.Errorf("CapabilityVision = %q, want %q", model.CapabilityVision, "vision")
+	}
+	if model.CapabilityThinking != "thinking" {
+		t.Errorf("CapabilityThinking = %q, want %q", model.CapabilityThinking, "thinking")
+	}
+}

cmd/config/selector.go

@@ -3,475 +3,34 @@ package config
 import (
 	"errors"
 	"fmt"
-	"io"
 	"os"
-	"strings"
 
 	"golang.org/x/term"
 )
 
 // ANSI escape sequences for terminal formatting.
 const (
-	ansiHideCursor = "\033[?25l"
-	ansiShowCursor = "\033[?25h"
-	ansiBold       = "\033[1m"
-	ansiReset      = "\033[0m"
-	ansiGray       = "\033[37m"
-	ansiGreen      = "\033[32m"
-	ansiClearDown  = "\033[J"
+	ansiBold  = "\033[1m"
+	ansiReset = "\033[0m"
+	ansiGray  = "\033[37m"
+	ansiGreen = "\033[32m"
 )
 
-const maxDisplayedItems = 10
+// ErrCancelled is returned when the user cancels a selection.
+var ErrCancelled = errors.New("cancelled")
 
-var errCancelled = errors.New("cancelled")
+// errCancelled is kept as an alias for backward compatibility within the package.
+var errCancelled = ErrCancelled
 
-type selectItem struct {
-	Name        string
-	Description string
-}
-
-type inputEvent int
-
-const (
-	eventNone inputEvent = iota
-	eventEnter
-	eventEscape
-	eventUp
-	eventDown
-	eventTab
-	eventBackspace
-	eventChar
-)
-
-type selectState struct {
-	items        []selectItem
-	filter       string
-	selected     int
-	scrollOffset int
-}
-
-func newSelectState(items []selectItem) *selectState {
-	return &selectState{items: items}
-}
-
-func (s *selectState) filtered() []selectItem {
-	return filterItems(s.items, s.filter)
-}
-
-func (s *selectState) handleInput(event inputEvent, char byte) (done bool, result string, err error) {
-	filtered := s.filtered()
-
-	switch event {
-	case eventEnter:
-		if len(filtered) > 0 && s.selected < len(filtered) {
-			return true, filtered[s.selected].Name, nil
-		}
-	case eventEscape:
-		return true, "", errCancelled
-	case eventBackspace:
-		if len(s.filter) > 0 {
-			s.filter = s.filter[:len(s.filter)-1]
-			s.selected = 0
-			s.scrollOffset = 0
-		}
-	case eventUp:
-		if s.selected > 0 {
-			s.selected--
-			if s.selected < s.scrollOffset {
-				s.scrollOffset = s.selected
-			}
-		}
-	case eventDown:
-		if s.selected < len(filtered)-1 {
-			s.selected++
-			if s.selected >= s.scrollOffset+maxDisplayedItems {
-				s.scrollOffset = s.selected - maxDisplayedItems + 1
-			}
-		}
-	case eventChar:
-		s.filter += string(char)
-		s.selected = 0
-		s.scrollOffset = 0
-	}
-
-	return false, "", nil
-}
-
-type multiSelectState struct {
-	items         []selectItem
-	itemIndex     map[string]int
-	filter        string
-	highlighted   int
-	scrollOffset  int
-	checked       map[int]bool
-	checkOrder    []int
-	focusOnButton bool
-}
-
-func newMultiSelectState(items []selectItem, preChecked []string) *multiSelectState {
-	s := &multiSelectState{
-		items:     items,
-		itemIndex: make(map[string]int, len(items)),
-		checked:   make(map[int]bool),
-	}
-
-	for i, item := range items {
-		s.itemIndex[item.Name] = i
-	}
-
-	for _, name := range preChecked {
-		if idx, ok := s.itemIndex[name]; ok {
-			s.checked[idx] = true
-			s.checkOrder = append(s.checkOrder, idx)
-		}
-	}
-
-	return s
-}
-
-func (s *multiSelectState) filtered() []selectItem {
-	return filterItems(s.items, s.filter)
-}
-
-func (s *multiSelectState) toggleItem() {
-	filtered := s.filtered()
-	if len(filtered) == 0 || s.highlighted >= len(filtered) {
-		return
-	}
-
-	item := filtered[s.highlighted]
-	origIdx := s.itemIndex[item.Name]
-
-	if s.checked[origIdx] {
-		delete(s.checked, origIdx)
-		for i, idx := range s.checkOrder {
-			if idx == origIdx {
-				s.checkOrder = append(s.checkOrder[:i], s.checkOrder[i+1:]...)
-				break
-			}
-		}
-	} else {
-		s.checked[origIdx] = true
-		s.checkOrder = append(s.checkOrder, origIdx)
-	}
-}
-
-func (s *multiSelectState) handleInput(event inputEvent, char byte) (done bool, result []string, err error) {
-	filtered := s.filtered()
-
-	switch event {
-	case eventEnter:
-		if s.focusOnButton && len(s.checkOrder) > 0 {
-			var res []string
-			for _, idx := range s.checkOrder {
-				res = append(res, s.items[idx].Name)
-			}
-			return true, res, nil
-		} else if !s.focusOnButton {
-			s.toggleItem()
-		}
-	case eventTab:
-		if len(s.checkOrder) > 0 {
-			s.focusOnButton = !s.focusOnButton
-		}
-	case eventEscape:
-		return true, nil, errCancelled
-	case eventBackspace:
-		if len(s.filter) > 0 {
-			s.filter = s.filter[:len(s.filter)-1]
-			s.highlighted = 0
-			s.scrollOffset = 0
-			s.focusOnButton = false
-		}
-	case eventUp:
-		if s.focusOnButton {
-			s.focusOnButton = false
-		} else if s.highlighted > 0 {
-			s.highlighted--
-			if s.highlighted < s.scrollOffset {
-				s.scrollOffset = s.highlighted
-			}
-		}
-	case eventDown:
-		if s.focusOnButton {
-			s.focusOnButton = false
-		} else if s.highlighted < len(filtered)-1 {
-			s.highlighted++
-			if s.highlighted >= s.scrollOffset+maxDisplayedItems {
-				s.scrollOffset = s.highlighted - maxDisplayedItems + 1
-			}
-		}
-	case eventChar:
-		s.filter += string(char)
-		s.highlighted = 0
-		s.scrollOffset = 0
-		s.focusOnButton = false
-	}
-
-	return false, nil, nil
-}
-
-func (s *multiSelectState) selectedCount() int {
-	return len(s.checkOrder)
-}
-
-// Terminal I/O handling
-
-type terminalState struct {
-	fd       int
-	oldState *term.State
-}
-
-func enterRawMode() (*terminalState, error) {
-	fd := int(os.Stdin.Fd())
-	oldState, err := term.MakeRaw(fd)
-	if err != nil {
-		return nil, err
-	}
-	fmt.Fprint(os.Stderr, ansiHideCursor)
-	return &terminalState{fd: fd, oldState: oldState}, nil
-}
-
-func (t *terminalState) restore() {
-	fmt.Fprint(os.Stderr, ansiShowCursor)
-	term.Restore(t.fd, t.oldState)
-}
-
-func clearLines(n int) {
-	if n > 0 {
-		fmt.Fprintf(os.Stderr, "\033[%dA", n)
-		fmt.Fprint(os.Stderr, ansiClearDown)
-	}
-}
-
-func parseInput(r io.Reader) (inputEvent, byte, error) {
-	buf := make([]byte, 3)
-	n, err := r.Read(buf)
-	if err != nil {
-		return 0, 0, err
-	}
-
-	switch {
-	case n == 1 && buf[0] == 13:
-		return eventEnter, 0, nil
-	case n == 1 && (buf[0] == 3 || buf[0] == 27):
-		return eventEscape, 0, nil
-	case n == 1 && buf[0] == 9:
-		return eventTab, 0, nil
-	case n == 1 && buf[0] == 127:
-		return eventBackspace, 0, nil
-	case n == 3 && buf[0] == 27 && buf[1] == 91 && buf[2] == 65:
-		return eventUp, 0, nil
-	case n == 3 && buf[0] == 27 && buf[1] == 91 && buf[2] == 66:
-		return eventDown, 0, nil
-	case n == 1 && buf[0] >= 32 && buf[0] < 127:
-		return eventChar, buf[0], nil
-	}
-
-	return eventNone, 0, nil
-}
-
-// Rendering
-
-func renderSelect(w io.Writer, prompt string, s *selectState) int {
-	filtered := s.filtered()
-
-	if s.filter == "" {
-		fmt.Fprintf(w, "%s %sType to filter...%s\r\n", prompt, ansiGray, ansiReset)
-	} else {
-		fmt.Fprintf(w, "%s %s\r\n", prompt, s.filter)
-	}
-	lineCount := 1
-
-	if len(filtered) == 0 {
-		fmt.Fprintf(w, "  %s(no matches)%s\r\n", ansiGray, ansiReset)
-		lineCount++
-	} else {
-		displayCount := min(len(filtered), maxDisplayedItems)
-
-		for i := range displayCount {
-			idx := s.scrollOffset + i
-			if idx >= len(filtered) {
-				break
-			}
-			item := filtered[idx]
-			prefix := "    "
-			if idx == s.selected {
-				prefix = "  " + ansiBold + "> "
-			}
-			if item.Description != "" {
-				fmt.Fprintf(w, "%s%s%s %s- %s%s\r\n", prefix, item.Name, ansiReset, ansiGray, item.Description, ansiReset)
-			} else {
-				fmt.Fprintf(w, "%s%s%s\r\n", prefix, item.Name, ansiReset)
-			}
-			lineCount++
-		}
-
-		if remaining := len(filtered) - s.scrollOffset - displayCount; remaining > 0 {
-			fmt.Fprintf(w, "  %s... and %d more%s\r\n", ansiGray, remaining, ansiReset)
-			lineCount++
-		}
-	}
-
-	return lineCount
-}
-
-func renderMultiSelect(w io.Writer, prompt string, s *multiSelectState) int {
-	filtered := s.filtered()
-
-	if s.filter == "" {
-		fmt.Fprintf(w, "%s %sType to filter...%s\r\n", prompt, ansiGray, ansiReset)
-	} else {
-		fmt.Fprintf(w, "%s %s\r\n", prompt, s.filter)
-	}
-	lineCount := 1
-
-	if len(filtered) == 0 {
-		fmt.Fprintf(w, "  %s(no matches)%s\r\n", ansiGray, ansiReset)
-		lineCount++
-	} else {
-		displayCount := min(len(filtered), maxDisplayedItems)
-
-		for i := range displayCount {
-			idx := s.scrollOffset + i
-			if idx >= len(filtered) {
-				break
-			}
-			item := filtered[idx]
-			origIdx := s.itemIndex[item.Name]
-
-			checkbox := "[ ]"
-			if s.checked[origIdx] {
-				checkbox = "[x]"
-			}
-
-			prefix := "  "
-			suffix := ""
-			if idx == s.highlighted && !s.focusOnButton {
-				prefix = "> "
-			}
-			if len(s.checkOrder) > 0 && s.checkOrder[0] == origIdx {
-				suffix = " " + ansiGray + "(default)" + ansiReset
-			}
-
-			desc := ""
-			if item.Description != "" {
-				desc = " " + ansiGray + "- " + item.Description + ansiReset
-			}
-
-			if idx == s.highlighted && !s.focusOnButton {
-				fmt.Fprintf(w, "  %s%s %s %s%s%s%s\r\n", ansiBold, prefix, checkbox, item.Name, ansiReset, desc, suffix)
-			} else {
-				fmt.Fprintf(w, "  %s %s %s%s%s\r\n", prefix, checkbox, item.Name, desc, suffix)
-			}
-			lineCount++
-		}
-
-		if remaining := len(filtered) - s.scrollOffset - displayCount; remaining > 0 {
-			fmt.Fprintf(w, "  %s... and %d more%s\r\n", ansiGray, remaining, ansiReset)
-			lineCount++
-		}
-	}
-
-	fmt.Fprintf(w, "\r\n")
-	lineCount++
-	count := s.selectedCount()
-	switch {
-	case count == 0:
-		fmt.Fprintf(w, "  %sSelect at least one model.%s\r\n", ansiGray, ansiReset)
-	case s.focusOnButton:
-		fmt.Fprintf(w, "  %s> [ Continue ]%s %s(%d selected)%s\r\n", ansiBold, ansiReset, ansiGray, count, ansiReset)
-	default:
-		fmt.Fprintf(w, "    %s[ Continue ] (%d selected) - press Tab%s\r\n", ansiGray, count, ansiReset)
-	}
-	lineCount++
-
-	return lineCount
-}
-
-// selectPrompt prompts the user to select a single item from a list.
-func selectPrompt(prompt string, items []selectItem) (string, error) {
-	if len(items) == 0 {
-		return "", fmt.Errorf("no items to select from")
-	}
-
-	ts, err := enterRawMode()
-	if err != nil {
-		return "", err
-	}
-	defer ts.restore()
-
-	state := newSelectState(items)
-	var lastLineCount int
-
-	render := func() {
-		clearLines(lastLineCount)
-		lastLineCount = renderSelect(os.Stderr, prompt, state)
-	}
-
-	render()
-
-	for {
-		event, char, err := parseInput(os.Stdin)
-		if err != nil {
-			return "", err
-		}
-
-		done, result, err := state.handleInput(event, char)
-		if done {
-			clearLines(lastLineCount)
-			if err != nil {
-				return "", err
-			}
-			return result, nil
-		}
-
-		render()
-	}
-}
-
-// multiSelectPrompt prompts the user to select multiple items from a list.
-func multiSelectPrompt(prompt string, items []selectItem, preChecked []string) ([]string, error) {
-	if len(items) == 0 {
-		return nil, fmt.Errorf("no items to select from")
-	}
-
-	ts, err := enterRawMode()
-	if err != nil {
-		return nil, err
-	}
-	defer ts.restore()
-
-	state := newMultiSelectState(items, preChecked)
-	var lastLineCount int
-
-	render := func() {
-		clearLines(lastLineCount)
-		lastLineCount = renderMultiSelect(os.Stderr, prompt, state)
-	}
-
-	render()
-
-	for {
-		event, char, err := parseInput(os.Stdin)
-		if err != nil {
-			return nil, err
-		}
-
-		done, result, err := state.handleInput(event, char)
-		if done {
-			clearLines(lastLineCount)
-			if err != nil {
-				return nil, err
-			}
-			return result, nil
-		}
-
-		render()
-	}
-}
+// DefaultConfirmPrompt provides a TUI-based confirmation prompt.
+// When set, confirmPrompt delegates to it instead of using raw terminal I/O.
+var DefaultConfirmPrompt func(prompt string) (bool, error)
 
 func confirmPrompt(prompt string) (bool, error) {
+	if DefaultConfirmPrompt != nil {
+		return DefaultConfirmPrompt(prompt)
+	}
+
 	fd := int(os.Stdin.Fd())
 	oldState, err := term.MakeRaw(fd)
 	if err != nil {
@@ -497,17 +56,3 @@ func confirmPrompt(prompt string) (bool, error) {
 		}
 	}
 }
-
-func filterItems(items []selectItem, filter string) []selectItem {
-	if filter == "" {
-		return items
-	}
-	var result []selectItem
-	filterLower := strings.ToLower(filter)
-	for _, item := range items {
-		if strings.Contains(strings.ToLower(item.Name), filterLower) {
-			result = append(result, item)
-		}
-	}
-	return result
-}

cmd/config/selector_test.go

@@ -1,670 +1,9 @@
 package config
 
 import (
-	"bytes"
-	"strings"
 	"testing"
 )
 
-func TestFilterItems(t *testing.T) {
-	items := []selectItem{
-		{Name: "llama3.2:latest"},
-		{Name: "qwen2.5:7b"},
-		{Name: "deepseek-v3:cloud"},
-		{Name: "GPT-OSS:20b"},
-	}
-
-	t.Run("EmptyFilter_ReturnsAllItems", func(t *testing.T) {
-		result := filterItems(items, "")
-		if len(result) != len(items) {
-			t.Errorf("expected %d items, got %d", len(items), len(result))
-		}
-	})
-
-	t.Run("CaseInsensitive_UppercaseFilterMatchesLowercase", func(t *testing.T) {
-		result := filterItems(items, "LLAMA")
-		if len(result) != 1 || result[0].Name != "llama3.2:latest" {
-			t.Errorf("expected llama3.2:latest, got %v", result)
-		}
-	})
-
-	t.Run("CaseInsensitive_LowercaseFilterMatchesUppercase", func(t *testing.T) {
-		result := filterItems(items, "gpt")
-		if len(result) != 1 || result[0].Name != "GPT-OSS:20b" {
-			t.Errorf("expected GPT-OSS:20b, got %v", result)
-		}
-	})
-
-	t.Run("PartialMatch", func(t *testing.T) {
-		result := filterItems(items, "deep")
-		if len(result) != 1 || result[0].Name != "deepseek-v3:cloud" {
-			t.Errorf("expected deepseek-v3:cloud, got %v", result)
-		}
-	})
-
-	t.Run("NoMatch_ReturnsEmpty", func(t *testing.T) {
-		result := filterItems(items, "nonexistent")
-		if len(result) != 0 {
-			t.Errorf("expected 0 items, got %d", len(result))
-		}
-	})
-}
-
-func TestSelectState(t *testing.T) {
-	items := []selectItem{
-		{Name: "item1"},
-		{Name: "item2"},
-		{Name: "item3"},
-	}
-
-	t.Run("InitialState", func(t *testing.T) {
-		s := newSelectState(items)
-		if s.selected != 0 {
-			t.Errorf("expected selected=0, got %d", s.selected)
-		}
-		if s.filter != "" {
-			t.Errorf("expected empty filter, got %q", s.filter)
-		}
-		if s.scrollOffset != 0 {
-			t.Errorf("expected scrollOffset=0, got %d", s.scrollOffset)
-		}
-	})
-
-	t.Run("Enter_SelectsCurrentItem", func(t *testing.T) {
-		s := newSelectState(items)
-		done, result, err := s.handleInput(eventEnter, 0)
-		if !done || result != "item1" || err != nil {
-			t.Errorf("expected (true, item1, nil), got (%v, %v, %v)", done, result, err)
-		}
-	})
-
-	t.Run("Enter_WithFilter_SelectsFilteredItem", func(t *testing.T) {
-		s := newSelectState(items)
-		s.filter = "item3"
-		done, result, err := s.handleInput(eventEnter, 0)
-		if !done || result != "item3" || err != nil {
-			t.Errorf("expected (true, item3, nil), got (%v, %v, %v)", done, result, err)
-		}
-	})
-
-	t.Run("Enter_EmptyFilteredList_DoesNothing", func(t *testing.T) {
-		s := newSelectState(items)
-		s.filter = "nonexistent"
-		done, result, err := s.handleInput(eventEnter, 0)
-		if done || result != "" || err != nil {
-			t.Errorf("expected (false, '', nil), got (%v, %v, %v)", done, result, err)
-		}
-	})
-
-	t.Run("Enter_EmptyFilteredList_EmptyFilter_DoesNothing", func(t *testing.T) {
-		s := newSelectState([]selectItem{})
-		done, result, err := s.handleInput(eventEnter, 0)
-		if done || result != "" || err != nil {
-			t.Errorf("expected (false, '', nil), got (%v, %v, %v)", done, result, err)
-		}
-	})
-
-	t.Run("Escape_ReturnsCancelledError", func(t *testing.T) {
-		s := newSelectState(items)
-		done, result, err := s.handleInput(eventEscape, 0)
-		if !done || result != "" || err != errCancelled {
-			t.Errorf("expected (true, '', errCancelled), got (%v, %v, %v)", done, result, err)
-		}
-	})
-
-	t.Run("Down_MovesSelection", func(t *testing.T) {
-		s := newSelectState(items)
-		s.handleInput(eventDown, 0)
-		if s.selected != 1 {
-			t.Errorf("expected selected=1, got %d", s.selected)
-		}
-	})
-
-	t.Run("Down_AtBottom_StaysAtBottom", func(t *testing.T) {
-		s := newSelectState(items)
-		s.selected = 2
-		s.handleInput(eventDown, 0)
-		if s.selected != 2 {
-			t.Errorf("expected selected=2 (stayed at bottom), got %d", s.selected)
-		}
-	})
-
-	t.Run("Up_MovesSelection", func(t *testing.T) {
-		s := newSelectState(items)
-		s.selected = 2
-		s.handleInput(eventUp, 0)
-		if s.selected != 1 {
-			t.Errorf("expected selected=1, got %d", s.selected)
-		}
-	})
-
-	t.Run("Up_AtTop_StaysAtTop", func(t *testing.T) {
-		s := newSelectState(items)
-		s.handleInput(eventUp, 0)
-		if s.selected != 0 {
-			t.Errorf("expected selected=0 (stayed at top), got %d", s.selected)
-		}
-	})
-
-	t.Run("Char_AppendsToFilter", func(t *testing.T) {
-		s := newSelectState(items)
-		s.handleInput(eventChar, 'i')
-		s.handleInput(eventChar, 't')
-		s.handleInput(eventChar, 'e')
-		s.handleInput(eventChar, 'm')
-		s.handleInput(eventChar, '2')
-		if s.filter != "item2" {
-			t.Errorf("expected filter='item2', got %q", s.filter)
-		}
-		filtered := s.filtered()
-		if len(filtered) != 1 || filtered[0].Name != "item2" {
-			t.Errorf("expected [item2], got %v", filtered)
-		}
-	})
-
-	t.Run("Char_ResetsSelectionToZero", func(t *testing.T) {
-		s := newSelectState(items)
-		s.selected = 2
-		s.handleInput(eventChar, 'x')
-		if s.selected != 0 {
-			t.Errorf("expected selected=0 after typing, got %d", s.selected)
-		}
-	})
-
-	t.Run("Backspace_RemovesLastFilterChar", func(t *testing.T) {
-		s := newSelectState(items)
-		s.filter = "test"
-		s.handleInput(eventBackspace, 0)
-		if s.filter != "tes" {
-			t.Errorf("expected filter='tes', got %q", s.filter)
-		}
-	})
-
-	t.Run("Backspace_EmptyFilter_DoesNothing", func(t *testing.T) {
-		s := newSelectState(items)
-		s.handleInput(eventBackspace, 0)
-		if s.filter != "" {
-			t.Errorf("expected filter='', got %q", s.filter)
-		}
-	})
-
-	t.Run("Backspace_ResetsSelectionToZero", func(t *testing.T) {
-		s := newSelectState(items)
-		s.filter = "test"
-		s.selected = 2
-		s.handleInput(eventBackspace, 0)
-		if s.selected != 0 {
-			t.Errorf("expected selected=0 after backspace, got %d", s.selected)
-		}
-	})
-
-	t.Run("Scroll_DownPastVisibleItems_ScrollsViewport", func(t *testing.T) {
-		// maxDisplayedItems is 10, so with 15 items we need to scroll
-		manyItems := make([]selectItem, 15)
-		for i := range manyItems {
-			manyItems[i] = selectItem{Name: string(rune('a' + i))}
-		}
-		s := newSelectState(manyItems)
-
-		// move down 12 times (past the 10-item viewport)
-		for range 12 {
-			s.handleInput(eventDown, 0)
-		}
-
-		if s.selected != 12 {
-			t.Errorf("expected selected=12, got %d", s.selected)
-		}
-		if s.scrollOffset != 3 {
-			t.Errorf("expected scrollOffset=3 (12-10+1), got %d", s.scrollOffset)
-		}
-	})
-
-	t.Run("Scroll_UpPastScrollOffset_ScrollsViewport", func(t *testing.T) {
-		manyItems := make([]selectItem, 15)
-		for i := range manyItems {
-			manyItems[i] = selectItem{Name: string(rune('a' + i))}
-		}
-		s := newSelectState(manyItems)
-		s.selected = 5
-		s.scrollOffset = 5
-
-		s.handleInput(eventUp, 0)
-
-		if s.selected != 4 {
-			t.Errorf("expected selected=4, got %d", s.selected)
-		}
-		if s.scrollOffset != 4 {
-			t.Errorf("expected scrollOffset=4, got %d", s.scrollOffset)
-		}
-	})
-}
-
-func TestMultiSelectState(t *testing.T) {
-	items := []selectItem{
-		{Name: "item1"},
-		{Name: "item2"},
-		{Name: "item3"},
-	}
-
-	t.Run("InitialState_NoPrechecked", func(t *testing.T) {
-		s := newMultiSelectState(items, nil)
-		if s.highlighted != 0 {
-			t.Errorf("expected highlighted=0, got %d", s.highlighted)
-		}
-		if s.selectedCount() != 0 {
-			t.Errorf("expected 0 selected, got %d", s.selectedCount())
-		}
-		if s.focusOnButton {
-			t.Error("expected focusOnButton=false initially")
-		}
-	})
-
-	t.Run("InitialState_WithPrechecked", func(t *testing.T) {
-		s := newMultiSelectState(items, []string{"item2", "item3"})
-		if s.selectedCount() != 2 {
-			t.Errorf("expected 2 selected, got %d", s.selectedCount())
-		}
-		if !s.checked[1] || !s.checked[2] {
-			t.Error("expected item2 and item3 to be checked")
-		}
-	})
-
-	t.Run("Prechecked_PreservesSelectionOrder", func(t *testing.T) {
-		// order matters: first checked = default model
-		s := newMultiSelectState(items, []string{"item3", "item1"})
-		if len(s.checkOrder) != 2 {
-			t.Fatalf("expected 2 in checkOrder, got %d", len(s.checkOrder))
-		}
-		if s.checkOrder[0] != 2 || s.checkOrder[1] != 0 {
-			t.Errorf("expected checkOrder=[2,0] (item3 first), got %v", s.checkOrder)
-		}
-	})
-
-	t.Run("Prechecked_IgnoresInvalidNames", func(t *testing.T) {
-		s := newMultiSelectState(items, []string{"item1", "nonexistent"})
-		if s.selectedCount() != 1 {
-			t.Errorf("expected 1 selected (nonexistent ignored), got %d", s.selectedCount())
-		}
-	})
-
-	t.Run("Toggle_ChecksUncheckedItem", func(t *testing.T) {
-		s := newMultiSelectState(items, nil)
-		s.toggleItem()
-		if !s.checked[0] {
-			t.Error("expected item1 to be checked after toggle")
-		}
-	})
-
-	t.Run("Toggle_UnchecksCheckedItem", func(t *testing.T) {
-		s := newMultiSelectState(items, []string{"item1"})
-		s.toggleItem()
-		if s.checked[0] {
-			t.Error("expected item1 to be unchecked after toggle")
-		}
-	})
-
-	t.Run("Toggle_RemovesFromCheckOrder", func(t *testing.T) {
-		s := newMultiSelectState(items, []string{"item1", "item2", "item3"})
-		s.highlighted = 1 // toggle item2
-		s.toggleItem()
-
-		if len(s.checkOrder) != 2 {
-			t.Fatalf("expected 2 in checkOrder, got %d", len(s.checkOrder))
-		}
-		// should be [0, 2] (item1, item3) with item2 removed
-		if s.checkOrder[0] != 0 || s.checkOrder[1] != 2 {
-			t.Errorf("expected checkOrder=[0,2], got %v", s.checkOrder)
-		}
-	})
-
-	t.Run("Enter_TogglesWhenNotOnButton", func(t *testing.T) {
-		s := newMultiSelectState(items, nil)
-		s.handleInput(eventEnter, 0)
-		if !s.checked[0] {
-			t.Error("expected item1 to be checked after enter")
-		}
-	})
-
-	t.Run("Enter_OnButton_ReturnsSelection", func(t *testing.T) {
-		s := newMultiSelectState(items, []string{"item2", "item1"})
-		s.focusOnButton = true
-
-		done, result, err := s.handleInput(eventEnter, 0)
-
-		if !done || err != nil {
-			t.Errorf("expected done=true, err=nil, got done=%v, err=%v", done, err)
-		}
-		// result should preserve selection order
-		if len(result) != 2 || result[0] != "item2" || result[1] != "item1" {
-			t.Errorf("expected [item2, item1], got %v", result)
-		}
-	})
-
-	t.Run("Enter_OnButton_EmptySelection_DoesNothing", func(t *testing.T) {
-		s := newMultiSelectState(items, nil)
-		s.focusOnButton = true
-		done, result, err := s.handleInput(eventEnter, 0)
-		if done || result != nil || err != nil {
-			t.Errorf("expected (false, nil, nil), got (%v, %v, %v)", done, result, err)
-		}
-	})
-
-	t.Run("Tab_SwitchesToButton_WhenHasSelection", func(t *testing.T) {
-		s := newMultiSelectState(items, []string{"item1"})
-		s.handleInput(eventTab, 0)
-		if !s.focusOnButton {
-			t.Error("expected focus on button after tab")
-		}
-	})
-
-	t.Run("Tab_DoesNothing_WhenNoSelection", func(t *testing.T) {
-		s := newMultiSelectState(items, nil)
-		s.handleInput(eventTab, 0)
-		if s.focusOnButton {
-			t.Error("tab should not focus button when nothing selected")
-		}
-	})
-
-	t.Run("Tab_TogglesButtonFocus", func(t *testing.T) {
-		s := newMultiSelectState(items, []string{"item1"})
-		s.handleInput(eventTab, 0)
-		if !s.focusOnButton {
-			t.Error("expected focus on button after first tab")
-		}
-		s.handleInput(eventTab, 0)
-		if s.focusOnButton {
-			t.Error("expected focus back on list after second tab")
-		}
-	})
-
-	t.Run("Escape_ReturnsCancelledError", func(t *testing.T) {
-		s := newMultiSelectState(items, []string{"item1"})
-		done, result, err := s.handleInput(eventEscape, 0)
-		if !done || result != nil || err != errCancelled {
-			t.Errorf("expected (true, nil, errCancelled), got (%v, %v, %v)", done, result, err)
-		}
-	})
-
-	t.Run("IsDefault_TrueForFirstChecked", func(t *testing.T) {
-		s := newMultiSelectState(items, []string{"item2", "item1"})
-		if !(len(s.checkOrder) > 0 && s.checkOrder[0] == 1) {
-			t.Error("expected item2 (idx 1) to be default (first checked)")
-		}
-		if len(s.checkOrder) > 0 && s.checkOrder[0] == 0 {
-			t.Error("expected item1 (idx 0) to NOT be default")
-		}
-	})
-
-	t.Run("IsDefault_FalseWhenNothingChecked", func(t *testing.T) {
-		s := newMultiSelectState(items, nil)
-		if len(s.checkOrder) > 0 && s.checkOrder[0] == 0 {
-			t.Error("expected isDefault=false when nothing checked")
-		}
-	})
-
-	t.Run("Down_MovesHighlight", func(t *testing.T) {
-		s := newMultiSelectState(items, nil)
-		s.handleInput(eventDown, 0)
-		if s.highlighted != 1 {
-			t.Errorf("expected highlighted=1, got %d", s.highlighted)
-		}
-	})
-
-	t.Run("Up_MovesHighlight", func(t *testing.T) {
-		s := newMultiSelectState(items, nil)
-		s.highlighted = 1
-		s.handleInput(eventUp, 0)
-		if s.highlighted != 0 {
-			t.Errorf("expected highlighted=0, got %d", s.highlighted)
-		}
-	})
-
-	t.Run("Arrow_ReturnsFocusFromButton", func(t *testing.T) {
-		s := newMultiSelectState(items, []string{"item1"})
-		s.focusOnButton = true
-		s.handleInput(eventDown, 0)
-		if s.focusOnButton {
-			t.Error("expected focus to return to list on arrow key")
-		}
-	})
-
-	t.Run("Char_AppendsToFilter", func(t *testing.T) {
-		s := newMultiSelectState(items, nil)
-		s.handleInput(eventChar, 'x')
-		if s.filter != "x" {
-			t.Errorf("expected filter='x', got %q", s.filter)
-		}
-	})
-
-	t.Run("Char_ResetsHighlightAndScroll", func(t *testing.T) {
-		manyItems := make([]selectItem, 15)
-		for i := range manyItems {
-			manyItems[i] = selectItem{Name: string(rune('a' + i))}
-		}
-		s := newMultiSelectState(manyItems, nil)
-		s.highlighted = 10
-		s.scrollOffset = 5
-
-		s.handleInput(eventChar, 'x')
-
-		if s.highlighted != 0 {
-			t.Errorf("expected highlighted=0, got %d", s.highlighted)
-		}
-		if s.scrollOffset != 0 {
-			t.Errorf("expected scrollOffset=0, got %d", s.scrollOffset)
-		}
-	})
-
-	t.Run("Backspace_RemovesLastFilterChar", func(t *testing.T) {
-		s := newMultiSelectState(items, nil)
-		s.filter = "test"
-		s.handleInput(eventBackspace, 0)
-		if s.filter != "tes" {
-			t.Errorf("expected filter='tes', got %q", s.filter)
-		}
-	})
-
-	t.Run("Backspace_RemovesFocusFromButton", func(t *testing.T) {
-		s := newMultiSelectState(items, []string{"item1"})
-		s.filter = "x"
-		s.focusOnButton = true
-		s.handleInput(eventBackspace, 0)
-		if s.focusOnButton {
-			t.Error("expected focusOnButton=false after backspace")
-		}
-	})
-}
-
-func TestParseInput(t *testing.T) {
-	t.Run("Enter", func(t *testing.T) {
-		event, char, err := parseInput(bytes.NewReader([]byte{13}))
-		if err != nil || event != eventEnter || char != 0 {
-			t.Errorf("expected (eventEnter, 0, nil), got (%v, %v, %v)", event, char, err)
-		}
-	})
-
-	t.Run("Escape", func(t *testing.T) {
-		event, _, err := parseInput(bytes.NewReader([]byte{27}))
-		if err != nil || event != eventEscape {
-			t.Errorf("expected eventEscape, got %v", event)
-		}
-	})
-
-	t.Run("CtrlC_TreatedAsEscape", func(t *testing.T) {
-		event, _, err := parseInput(bytes.NewReader([]byte{3}))
-		if err != nil || event != eventEscape {
-			t.Errorf("expected eventEscape for Ctrl+C, got %v", event)
-		}
-	})
-
-	t.Run("Tab", func(t *testing.T) {
-		event, _, err := parseInput(bytes.NewReader([]byte{9}))
-		if err != nil || event != eventTab {
-			t.Errorf("expected eventTab, got %v", event)
-		}
-	})
-
-	t.Run("Backspace", func(t *testing.T) {
-		event, _, err := parseInput(bytes.NewReader([]byte{127}))
-		if err != nil || event != eventBackspace {
-			t.Errorf("expected eventBackspace, got %v", event)
-		}
-	})
-
-	t.Run("UpArrow", func(t *testing.T) {
-		event, _, err := parseInput(bytes.NewReader([]byte{27, 91, 65}))
-		if err != nil || event != eventUp {
-			t.Errorf("expected eventUp, got %v", event)
-		}
-	})
-
-	t.Run("DownArrow", func(t *testing.T) {
-		event, _, err := parseInput(bytes.NewReader([]byte{27, 91, 66}))
-		if err != nil || event != eventDown {
-			t.Errorf("expected eventDown, got %v", event)
-		}
-	})
-
-	t.Run("PrintableChars", func(t *testing.T) {
-		tests := []struct {
-			name string
-			char byte
-		}{
-			{"lowercase", 'a'},
-			{"uppercase", 'Z'},
-			{"digit", '5'},
-			{"space", ' '},
-			{"tilde", '~'},
-		}
-		for _, tt := range tests {
-			t.Run(tt.name, func(t *testing.T) {
-				event, char, err := parseInput(bytes.NewReader([]byte{tt.char}))
-				if err != nil || event != eventChar || char != tt.char {
-					t.Errorf("expected (eventChar, %q), got (%v, %q)", tt.char, event, char)
-				}
-			})
-		}
-	})
-}
-
-func TestRenderSelect(t *testing.T) {
-	items := []selectItem{
-		{Name: "item1", Description: "first item"},
-		{Name: "item2"},
-	}
-
-	t.Run("ShowsPromptAndItems", func(t *testing.T) {
-		s := newSelectState(items)
-		var buf bytes.Buffer
-		lineCount := renderSelect(&buf, "Select:", s)
-
-		output := buf.String()
-		if !strings.Contains(output, "Select:") {
-			t.Error("expected prompt in output")
-		}
-		if !strings.Contains(output, "item1") {
-			t.Error("expected item1 in output")
-		}
-		if !strings.Contains(output, "first item") {
-			t.Error("expected description in output")
-		}
-		if !strings.Contains(output, "item2") {
-			t.Error("expected item2 in output")
-		}
-		if lineCount != 3 { // 1 prompt + 2 items
-			t.Errorf("expected 3 lines, got %d", lineCount)
-		}
-	})
-
-	t.Run("EmptyFilteredList_ShowsNoMatches", func(t *testing.T) {
-		s := newSelectState(items)
-		s.filter = "xyz"
-		var buf bytes.Buffer
-		renderSelect(&buf, "Select:", s)
-
-		output := buf.String()
-		if !strings.Contains(output, "no matches") {
-			t.Errorf("expected 'no matches' message, got: %s", output)
-		}
-	})
-
-	t.Run("EmptyFilteredList_EmptyFilter_ShowsNoMatches", func(t *testing.T) {
-		s := newSelectState([]selectItem{})
-		var buf bytes.Buffer
-		renderSelect(&buf, "Select:", s)
-
-		if !strings.Contains(buf.String(), "no matches") {
-			t.Error("expected 'no matches' message for empty list with no filter")
-		}
-	})
-
-	t.Run("LongList_ShowsRemainingCount", func(t *testing.T) {
-		manyItems := make([]selectItem, 15)
-		for i := range manyItems {
-			manyItems[i] = selectItem{Name: string(rune('a' + i))}
-		}
-		s := newSelectState(manyItems)
-		var buf bytes.Buffer
-		renderSelect(&buf, "Select:", s)
-
-		// 15 items - 10 displayed = 5 more
-		if !strings.Contains(buf.String(), "5 more") {
-			t.Error("expected '5 more' indicator")
-		}
-	})
-}
-
-func TestRenderMultiSelect(t *testing.T) {
-	items := []selectItem{
-		{Name: "item1"},
-		{Name: "item2"},
-	}
-
-	t.Run("ShowsCheckboxes", func(t *testing.T) {
-		s := newMultiSelectState(items, []string{"item1"})
-		var buf bytes.Buffer
-		renderMultiSelect(&buf, "Select:", s)
-
-		output := buf.String()
-		if !strings.Contains(output, "[x]") {
-			t.Error("expected checked checkbox [x]")
-		}
-		if !strings.Contains(output, "[ ]") {
-			t.Error("expected unchecked checkbox [ ]")
-		}
-	})
-
-	t.Run("ShowsDefaultMarker", func(t *testing.T) {
-		s := newMultiSelectState(items, []string{"item1"})
-		var buf bytes.Buffer
-		renderMultiSelect(&buf, "Select:", s)
-
-		if !strings.Contains(buf.String(), "(default)") {
-			t.Error("expected (default) marker for first checked item")
-		}
-	})
-
-	t.Run("ShowsSelectedCount", func(t *testing.T) {
-		s := newMultiSelectState(items, []string{"item1", "item2"})
-		var buf bytes.Buffer
-		renderMultiSelect(&buf, "Select:", s)
-
-		if !strings.Contains(buf.String(), "2 selected") {
-			t.Error("expected '2 selected' in output")
-		}
-	})
-
-	t.Run("NoSelection_ShowsHelperText", func(t *testing.T) {
-		s := newMultiSelectState(items, nil)
-		var buf bytes.Buffer
-		renderMultiSelect(&buf, "Select:", s)
-
-		if !strings.Contains(buf.String(), "Select at least one") {
-			t.Error("expected 'Select at least one' helper text")
-		}
-	})
-}
-
 func TestErrCancelled(t *testing.T) {
 	t.Run("NotNil", func(t *testing.T) {
 		if errCancelled == nil {
@@ -678,255 +17,3 @@ func TestErrCancelled(t *testing.T) {
 		}
 	})
 }
-
-// Edge case tests for selector.go
-
-// TestSelectState_SingleItem verifies that single item list works without crash.
-// List with only one item should still work.
-func TestSelectState_SingleItem(t *testing.T) {
-	items := []selectItem{{Name: "only-one"}}
-
-	s := newSelectState(items)
-
-	// Down should do nothing (already at bottom)
-	s.handleInput(eventDown, 0)
-	if s.selected != 0 {
-		t.Errorf("down on single item: expected selected=0, got %d", s.selected)
-	}
-
-	// Up should do nothing (already at top)
-	s.handleInput(eventUp, 0)
-	if s.selected != 0 {
-		t.Errorf("up on single item: expected selected=0, got %d", s.selected)
-	}
-
-	// Enter should select the only item
-	done, result, err := s.handleInput(eventEnter, 0)
-	if !done || result != "only-one" || err != nil {
-		t.Errorf("enter on single item: expected (true, 'only-one', nil), got (%v, %q, %v)", done, result, err)
-	}
-}
-
-// TestSelectState_ExactlyMaxItems verifies boundary condition at maxDisplayedItems.
-// List with exactly maxDisplayedItems items should not scroll.
-func TestSelectState_ExactlyMaxItems(t *testing.T) {
-	items := make([]selectItem, maxDisplayedItems)
-	for i := range items {
-		items[i] = selectItem{Name: string(rune('a' + i))}
-	}
-
-	s := newSelectState(items)
-
-	// Move to last item
-	for range maxDisplayedItems - 1 {
-		s.handleInput(eventDown, 0)
-	}
-
-	if s.selected != maxDisplayedItems-1 {
-		t.Errorf("expected selected=%d, got %d", maxDisplayedItems-1, s.selected)
-	}
-
-	// Should not scroll when exactly at max
-	if s.scrollOffset != 0 {
-		t.Errorf("expected scrollOffset=0 for exactly maxDisplayedItems, got %d", s.scrollOffset)
-	}
-
-	// One more down should do nothing
-	s.handleInput(eventDown, 0)
-	if s.selected != maxDisplayedItems-1 {
-		t.Errorf("down at max: expected selected=%d, got %d", maxDisplayedItems-1, s.selected)
-	}
-}
-
-// TestFilterItems_RegexSpecialChars verifies that filter is literal, not regex.
-// User typing "model.v1" shouldn't match "modelsv1".
-func TestFilterItems_RegexSpecialChars(t *testing.T) {
-	items := []selectItem{
-		{Name: "model.v1"},
-		{Name: "modelsv1"},
-		{Name: "model-v1"},
-	}
-
-	// Filter with dot should only match literal dot
-	result := filterItems(items, "model.v1")
-	if len(result) != 1 {
-		t.Errorf("expected 1 exact match, got %d", len(result))
-	}
-	if len(result) > 0 && result[0].Name != "model.v1" {
-		t.Errorf("expected 'model.v1', got %s", result[0].Name)
-	}
-
-	// Other regex special chars should be literal too
-	items2 := []selectItem{
-		{Name: "test[0]"},
-		{Name: "test0"},
-		{Name: "test(1)"},
-	}
-
-	result2 := filterItems(items2, "test[0]")
-	if len(result2) != 1 || result2[0].Name != "test[0]" {
-		t.Errorf("expected only 'test[0]', got %v", result2)
-	}
-}
-
-// TestMultiSelectState_DuplicateNames documents handling of duplicate item names.
-// itemIndex uses name as key - duplicates cause collision. This documents
-// the current behavior: the last index for a duplicate name is stored
-func TestMultiSelectState_DuplicateNames(t *testing.T) {
-	// Duplicate names - this is an edge case that shouldn't happen in practice
-	items := []selectItem{
-		{Name: "duplicate"},
-		{Name: "duplicate"},
-		{Name: "unique"},
-	}
-
-	s := newMultiSelectState(items, nil)
-
-	// DOCUMENTED BEHAVIOR: itemIndex maps name to LAST index
-	// When there are duplicates, only the last occurrence's index is stored
-	if s.itemIndex["duplicate"] != 1 {
-		t.Errorf("itemIndex should map 'duplicate' to last index (1), got %d", s.itemIndex["duplicate"])
-	}
-
-	// Toggle item at highlighted=0 (first "duplicate")
-	// Due to name collision, toggleItem uses itemIndex["duplicate"] = 1
-	// So it actually toggles the SECOND duplicate item, not the first
-	s.toggleItem()
-
-	// This documents the potentially surprising behavior:
-	// We toggled at highlighted=0, but itemIndex lookup returned 1
-	if !s.checked[1] {
-		t.Error("toggle should check index 1 (due to name collision in itemIndex)")
-	}
-	if s.checked[0] {
-		t.Log("Note: index 0 is NOT checked, even though highlighted=0 (name collision behavior)")
-	}
-}
-
-// TestSelectState_FilterReducesBelowSelection verifies selection resets when filter reduces list.
-// Prevents index-out-of-bounds on next keystroke
-func TestSelectState_FilterReducesBelowSelection(t *testing.T) {
-	items := []selectItem{
-		{Name: "apple"},
-		{Name: "banana"},
-		{Name: "cherry"},
-	}
-
-	s := newSelectState(items)
-	s.selected = 2 // Select "cherry"
-
-	// Type a filter that removes cherry from results
-	s.handleInput(eventChar, 'a') // Filter to "a" - matches "apple" and "banana"
-
-	// Selection should reset to 0
-	if s.selected != 0 {
-		t.Errorf("expected selected=0 after filter, got %d", s.selected)
-	}
-
-	filtered := s.filtered()
-	if len(filtered) != 2 {
-		t.Errorf("expected 2 filtered items, got %d", len(filtered))
-	}
-}
-
-// TestFilterItems_UnicodeCharacters verifies filtering works with UTF-8.
-// Model names might contain unicode characters
-func TestFilterItems_UnicodeCharacters(t *testing.T) {
-	items := []selectItem{
-		{Name: "llama-日本語"},
-		{Name: "模型-chinese"},
-		{Name: "émoji-🦙"},
-		{Name: "regular-model"},
-	}
-
-	t.Run("filter japanese", func(t *testing.T) {
-		result := filterItems(items, "日本")
-		if len(result) != 1 || result[0].Name != "llama-日本語" {
-			t.Errorf("expected llama-日本語, got %v", result)
-		}
-	})
-
-	t.Run("filter chinese", func(t *testing.T) {
-		result := filterItems(items, "模型")
-		if len(result) != 1 || result[0].Name != "模型-chinese" {
-			t.Errorf("expected 模型-chinese, got %v", result)
-		}
-	})
-
-	t.Run("filter emoji", func(t *testing.T) {
-		result := filterItems(items, "🦙")
-		if len(result) != 1 || result[0].Name != "émoji-🦙" {
-			t.Errorf("expected émoji-🦙, got %v", result)
-		}
-	})
-
-	t.Run("filter accented char", func(t *testing.T) {
-		result := filterItems(items, "émoji")
-		if len(result) != 1 || result[0].Name != "émoji-🦙" {
-			t.Errorf("expected émoji-🦙, got %v", result)
-		}
-	})
-}
-
-// TestMultiSelectState_FilterReducesBelowHighlight verifies highlight resets when filter reduces list.
-func TestMultiSelectState_FilterReducesBelowHighlight(t *testing.T) {
-	items := []selectItem{
-		{Name: "apple"},
-		{Name: "banana"},
-		{Name: "cherry"},
-	}
-
-	s := newMultiSelectState(items, nil)
-	s.highlighted = 2 // Highlight "cherry"
-
-	// Type a filter that removes cherry
-	s.handleInput(eventChar, 'a')
-
-	if s.highlighted != 0 {
-		t.Errorf("expected highlighted=0 after filter, got %d", s.highlighted)
-	}
-}
-
-// TestMultiSelectState_EmptyItems verifies handling of empty item list.
-// Empty list should be handled gracefully.
-func TestMultiSelectState_EmptyItems(t *testing.T) {
-	s := newMultiSelectState([]selectItem{}, nil)
-
-	// Toggle should not panic on empty list
-	s.toggleItem()
-
-	if s.selectedCount() != 0 {
-		t.Errorf("expected 0 selected for empty list, got %d", s.selectedCount())
-	}
-
-	// Render should handle empty list
-	var buf bytes.Buffer
-	lineCount := renderMultiSelect(&buf, "Select:", s)
-	if lineCount == 0 {
-		t.Error("renderMultiSelect should produce output even for empty list")
-	}
-	if !strings.Contains(buf.String(), "no matches") {
-		t.Error("expected 'no matches' for empty list")
-	}
-}
-
-// TestSelectState_RenderWithDescriptions verifies rendering items with descriptions.
-func TestSelectState_RenderWithDescriptions(t *testing.T) {
-	items := []selectItem{
-		{Name: "item1", Description: "First item description"},
-		{Name: "item2", Description: ""},
-		{Name: "item3", Description: "Third item"},
-	}
-
-	s := newSelectState(items)
-	var buf bytes.Buffer
-	renderSelect(&buf, "Select:", s)
-
-	output := buf.String()
-	if !strings.Contains(output, "First item description") {
-		t.Error("expected description to be rendered")
-	}
-	if !strings.Contains(output, "item2") {
-		t.Error("expected item without description to be rendered")
-	}
-}

cmd/editor_unix.go

@@ -0,0 +1,5 @@
+//go:build !windows
+
+package cmd
+
+const defaultEditor = "vi"

cmd/editor_windows.go

@@ -0,0 +1,5 @@
+//go:build windows
+
+package cmd
+
+const defaultEditor = "edit"

cmd/interactive.go

@@ -7,6 +7,7 @@ import (
 	"io"
 	"net/http"
 	"os"
+	"os/exec"
 	"path/filepath"
 	"regexp"
 	"slices"
@@ -79,6 +80,7 @@ func generateInteractive(cmd *cobra.Command, opts runOptions) error {
 		fmt.Fprintln(os.Stderr, "  Ctrl + w            Delete the word before the cursor")
 		fmt.Fprintln(os.Stderr, "")
 		fmt.Fprintln(os.Stderr, "  Ctrl + l            Clear the screen")
+		fmt.Fprintln(os.Stderr, "  Ctrl + g            Open default editor to compose a prompt")
 		fmt.Fprintln(os.Stderr, "  Ctrl + c            Stop the model from responding")
 		fmt.Fprintln(os.Stderr, "  Ctrl + d            Exit ollama (/bye)")
 		fmt.Fprintln(os.Stderr, "")
@@ -147,6 +149,18 @@ func generateInteractive(cmd *cobra.Command, opts runOptions) error {
 			scanner.Prompt.UseAlt = false
 			sb.Reset()
 
+			continue
+		case errors.Is(err, readline.ErrEditPrompt):
+			sb.Reset()
+			content, err := editInExternalEditor(line)
+			if err != nil {
+				fmt.Fprintf(os.Stderr, "error: %v\n", err)
+				continue
+			}
+			if strings.TrimSpace(content) == "" {
+				continue
+			}
+			scanner.Prefill = content
 			continue
 		case err != nil:
 			return err
@@ -598,6 +612,57 @@ func extractFileData(input string) (string, []api.ImageData, error) {
 	return strings.TrimSpace(input), imgs, nil
 }
 
+func editInExternalEditor(content string) (string, error) {
+	editor := envconfig.Editor()
+	if editor == "" {
+		editor = os.Getenv("VISUAL")
+	}
+	if editor == "" {
+		editor = os.Getenv("EDITOR")
+	}
+	if editor == "" {
+		editor = defaultEditor
+	}
+
+	// Check that the editor binary exists
+	name := strings.Fields(editor)[0]
+	if _, err := exec.LookPath(name); err != nil {
+		return "", fmt.Errorf("editor %q not found, set OLLAMA_EDITOR to the path of your preferred editor", name)
+	}
+
+	tmpFile, err := os.CreateTemp("", "ollama-prompt-*.txt")
+	if err != nil {
+		return "", fmt.Errorf("creating temp file: %w", err)
+	}
+	defer os.Remove(tmpFile.Name())
+
+	if content != "" {
+		if _, err := tmpFile.WriteString(content); err != nil {
+			tmpFile.Close()
+			return "", fmt.Errorf("writing to temp file: %w", err)
+		}
+	}
+	tmpFile.Close()
+
+	args := strings.Fields(editor)
+	args = append(args, tmpFile.Name())
+	cmd := exec.Command(args[0], args[1:]...)
+	cmd.Stdin = os.Stdin
+	cmd.Stdout = os.Stdout
+	cmd.Stderr = os.Stderr
+
+	if err := cmd.Run(); err != nil {
+		return "", fmt.Errorf("editor exited with error: %w", err)
+	}
+
+	data, err := os.ReadFile(tmpFile.Name())
+	if err != nil {
+		return "", fmt.Errorf("reading temp file: %w", err)
+	}
+
+	return strings.TrimRight(string(data), "\n"), nil
+}
+
 func getImageData(filePath string) ([]byte, error) {
 	file, err := os.Open(filePath)
 	if err != nil {

cmd/tui/confirm.go

@@ -0,0 +1,109 @@
+package tui
+
+import (
+	"fmt"
+
+	tea "github.com/charmbracelet/bubbletea"
+	"github.com/charmbracelet/lipgloss"
+)
+
+var (
+	confirmActiveStyle = lipgloss.NewStyle().
+				Bold(true).
+				Background(lipgloss.AdaptiveColor{Light: "254", Dark: "236"})
+
+	confirmInactiveStyle = lipgloss.NewStyle().
+				Foreground(lipgloss.AdaptiveColor{Light: "242", Dark: "246"})
+)
+
+type confirmModel struct {
+	prompt    string
+	yes       bool
+	confirmed bool
+	cancelled bool
+	width     int
+}
+
+func (m confirmModel) Init() tea.Cmd {
+	return nil
+}
+
+func (m confirmModel) Update(msg tea.Msg) (tea.Model, tea.Cmd) {
+	switch msg := msg.(type) {
+	case tea.WindowSizeMsg:
+		wasSet := m.width > 0
+		m.width = msg.Width
+		if wasSet {
+			return m, tea.EnterAltScreen
+		}
+		return m, nil
+
+	case tea.KeyMsg:
+		switch msg.String() {
+		case "ctrl+c", "esc", "n":
+			m.cancelled = true
+			return m, tea.Quit
+		case "y":
+			m.yes = true
+			m.confirmed = true
+			return m, tea.Quit
+		case "enter":
+			m.confirmed = true
+			return m, tea.Quit
+		case "left", "h":
+			m.yes = true
+		case "right", "l":
+			m.yes = false
+		case "tab":
+			m.yes = !m.yes
+		}
+	}
+
+	return m, nil
+}
+
+func (m confirmModel) View() string {
+	if m.confirmed || m.cancelled {
+		return ""
+	}
+
+	var yesBtn, noBtn string
+	if m.yes {
+		yesBtn = confirmActiveStyle.Render(" Yes ")
+		noBtn = confirmInactiveStyle.Render(" No ")
+	} else {
+		yesBtn = confirmInactiveStyle.Render(" Yes ")
+		noBtn = confirmActiveStyle.Render(" No ")
+	}
+
+	s := selectorTitleStyle.Render(m.prompt) + "\n\n"
+	s += "  " + yesBtn + "  " + noBtn + "\n\n"
+	s += selectorHelpStyle.Render("←/→ navigate • enter confirm • esc cancel")
+
+	if m.width > 0 {
+		return lipgloss.NewStyle().MaxWidth(m.width).Render(s)
+	}
+	return s
+}
+
+// RunConfirm shows a bubbletea yes/no confirmation prompt.
+// Returns true if the user confirmed, false if cancelled.
+func RunConfirm(prompt string) (bool, error) {
+	m := confirmModel{
+		prompt: prompt,
+		yes:    true, // default to yes
+	}
+
+	p := tea.NewProgram(m)
+	finalModel, err := p.Run()
+	if err != nil {
+		return false, fmt.Errorf("error running confirm: %w", err)
+	}
+
+	fm := finalModel.(confirmModel)
+	if fm.cancelled {
+		return false, ErrCancelled
+	}
+
+	return fm.yes, nil
+}

cmd/tui/confirm_test.go

@@ -0,0 +1,208 @@
+package tui
+
+import (
+	"strings"
+	"testing"
+
+	tea "github.com/charmbracelet/bubbletea"
+)
+
+func TestConfirmModel_DefaultsToYes(t *testing.T) {
+	m := confirmModel{prompt: "Download test?", yes: true}
+	if !m.yes {
+		t.Error("should default to yes")
+	}
+}
+
+func TestConfirmModel_View_ContainsPrompt(t *testing.T) {
+	m := confirmModel{prompt: "Download qwen3:8b?", yes: true}
+	got := m.View()
+	if !strings.Contains(got, "Download qwen3:8b?") {
+		t.Error("should contain the prompt text")
+	}
+}
+
+func TestConfirmModel_View_ContainsButtons(t *testing.T) {
+	m := confirmModel{prompt: "Download?", yes: true}
+	got := m.View()
+	if !strings.Contains(got, "Yes") {
+		t.Error("should contain Yes button")
+	}
+	if !strings.Contains(got, "No") {
+		t.Error("should contain No button")
+	}
+}
+
+func TestConfirmModel_View_ContainsHelp(t *testing.T) {
+	m := confirmModel{prompt: "Download?", yes: true}
+	got := m.View()
+	if !strings.Contains(got, "enter confirm") {
+		t.Error("should contain help text")
+	}
+}
+
+func TestConfirmModel_View_ClearsAfterConfirm(t *testing.T) {
+	m := confirmModel{prompt: "Download?", confirmed: true}
+	if m.View() != "" {
+		t.Error("View should return empty string after confirmation")
+	}
+}
+
+func TestConfirmModel_View_ClearsAfterCancel(t *testing.T) {
+	m := confirmModel{prompt: "Download?", cancelled: true}
+	if m.View() != "" {
+		t.Error("View should return empty string after cancellation")
+	}
+}
+
+func TestConfirmModel_EnterConfirmsYes(t *testing.T) {
+	m := confirmModel{prompt: "Download?", yes: true}
+	updated, cmd := m.Update(tea.KeyMsg{Type: tea.KeyEnter})
+	fm := updated.(confirmModel)
+	if !fm.confirmed {
+		t.Error("enter should set confirmed=true")
+	}
+	if !fm.yes {
+		t.Error("enter with yes selected should keep yes=true")
+	}
+	if cmd == nil {
+		t.Error("enter should return tea.Quit")
+	}
+}
+
+func TestConfirmModel_EnterConfirmsNo(t *testing.T) {
+	m := confirmModel{prompt: "Download?", yes: false}
+	updated, cmd := m.Update(tea.KeyMsg{Type: tea.KeyEnter})
+	fm := updated.(confirmModel)
+	if !fm.confirmed {
+		t.Error("enter should set confirmed=true")
+	}
+	if fm.yes {
+		t.Error("enter with no selected should keep yes=false")
+	}
+	if cmd == nil {
+		t.Error("enter should return tea.Quit")
+	}
+}
+
+func TestConfirmModel_EscCancels(t *testing.T) {
+	m := confirmModel{prompt: "Download?", yes: true}
+	updated, cmd := m.Update(tea.KeyMsg{Type: tea.KeyEsc})
+	fm := updated.(confirmModel)
+	if !fm.cancelled {
+		t.Error("esc should set cancelled=true")
+	}
+	if cmd == nil {
+		t.Error("esc should return tea.Quit")
+	}
+}
+
+func TestConfirmModel_CtrlCCancels(t *testing.T) {
+	m := confirmModel{prompt: "Download?", yes: true}
+	updated, cmd := m.Update(tea.KeyMsg{Type: tea.KeyCtrlC})
+	fm := updated.(confirmModel)
+	if !fm.cancelled {
+		t.Error("ctrl+c should set cancelled=true")
+	}
+	if cmd == nil {
+		t.Error("ctrl+c should return tea.Quit")
+	}
+}
+
+func TestConfirmModel_NCancels(t *testing.T) {
+	m := confirmModel{prompt: "Download?", yes: true}
+	updated, cmd := m.Update(tea.KeyMsg{Type: tea.KeyRunes, Runes: []rune{'n'}})
+	fm := updated.(confirmModel)
+	if !fm.cancelled {
+		t.Error("'n' should set cancelled=true")
+	}
+	if cmd == nil {
+		t.Error("'n' should return tea.Quit")
+	}
+}
+
+func TestConfirmModel_YConfirmsYes(t *testing.T) {
+	m := confirmModel{prompt: "Download?", yes: false}
+	updated, cmd := m.Update(tea.KeyMsg{Type: tea.KeyRunes, Runes: []rune{'y'}})
+	fm := updated.(confirmModel)
+	if !fm.confirmed {
+		t.Error("'y' should set confirmed=true")
+	}
+	if !fm.yes {
+		t.Error("'y' should set yes=true")
+	}
+	if cmd == nil {
+		t.Error("'y' should return tea.Quit")
+	}
+}
+
+func TestConfirmModel_ArrowKeysNavigate(t *testing.T) {
+	m := confirmModel{prompt: "Download?", yes: true}
+
+	// Right moves to No
+	updated, _ := m.Update(tea.KeyMsg{Type: tea.KeyRunes, Runes: []rune{'l'}})
+	fm := updated.(confirmModel)
+	if fm.yes {
+		t.Error("right/l should move to No")
+	}
+	if fm.confirmed || fm.cancelled {
+		t.Error("navigation should not confirm or cancel")
+	}
+
+	// Left moves back to Yes
+	updated, _ = fm.Update(tea.KeyMsg{Type: tea.KeyRunes, Runes: []rune{'h'}})
+	fm = updated.(confirmModel)
+	if !fm.yes {
+		t.Error("left/h should move to Yes")
+	}
+}
+
+func TestConfirmModel_TabToggles(t *testing.T) {
+	m := confirmModel{prompt: "Download?", yes: true}
+
+	updated, _ := m.Update(tea.KeyMsg{Type: tea.KeyTab})
+	fm := updated.(confirmModel)
+	if fm.yes {
+		t.Error("tab should toggle from Yes to No")
+	}
+
+	updated, _ = fm.Update(tea.KeyMsg{Type: tea.KeyTab})
+	fm = updated.(confirmModel)
+	if !fm.yes {
+		t.Error("tab should toggle from No to Yes")
+	}
+}
+
+func TestConfirmModel_WindowSizeUpdatesWidth(t *testing.T) {
+	m := confirmModel{prompt: "Download?"}
+	updated, _ := m.Update(tea.WindowSizeMsg{Width: 100, Height: 40})
+	fm := updated.(confirmModel)
+	if fm.width != 100 {
+		t.Errorf("expected width 100, got %d", fm.width)
+	}
+}
+
+func TestConfirmModel_ResizeEntersAltScreen(t *testing.T) {
+	m := confirmModel{prompt: "Download?", width: 80}
+	_, cmd := m.Update(tea.WindowSizeMsg{Width: 100, Height: 40})
+	if cmd == nil {
+		t.Error("resize (width already set) should return a command")
+	}
+}
+
+func TestConfirmModel_InitialWindowSizeNoAltScreen(t *testing.T) {
+	m := confirmModel{prompt: "Download?"}
+	_, cmd := m.Update(tea.WindowSizeMsg{Width: 80, Height: 40})
+	if cmd != nil {
+		t.Error("initial WindowSizeMsg should not return a command")
+	}
+}
+
+func TestConfirmModel_ViewMaxWidth(t *testing.T) {
+	m := confirmModel{prompt: "Download?", yes: true, width: 40}
+	got := m.View()
+	// Just ensure it doesn't panic and returns content
+	if got == "" {
+		t.Error("View with width set should still return content")
+	}
+}

cmd/tui/selector.go

@@ -0,0 +1,751 @@
+package tui
+
+import (
+	"errors"
+	"fmt"
+	"strings"
+
+	tea "github.com/charmbracelet/bubbletea"
+	"github.com/charmbracelet/lipgloss"
+	"github.com/ollama/ollama/cmd/config"
+)
+
+var (
+	selectorTitleStyle = lipgloss.NewStyle().
+				Bold(true)
+
+	selectorItemStyle = lipgloss.NewStyle().
+				PaddingLeft(4)
+
+	selectorSelectedItemStyle = lipgloss.NewStyle().
+					PaddingLeft(2).
+					Bold(true).
+					Background(lipgloss.AdaptiveColor{Light: "254", Dark: "236"})
+
+	selectorDescStyle = lipgloss.NewStyle().
+				Foreground(lipgloss.AdaptiveColor{Light: "242", Dark: "246"})
+
+	selectorDescLineStyle = selectorDescStyle.
+				PaddingLeft(6)
+
+	selectorFilterStyle = lipgloss.NewStyle().
+				Foreground(lipgloss.AdaptiveColor{Light: "242", Dark: "246"}).
+				Italic(true)
+
+	selectorInputStyle = lipgloss.NewStyle().
+				Foreground(lipgloss.AdaptiveColor{Light: "235", Dark: "252"})
+
+	selectorDefaultTagStyle = lipgloss.NewStyle().
+				Foreground(lipgloss.AdaptiveColor{Light: "242", Dark: "246"}).
+				Italic(true)
+
+	selectorHelpStyle = lipgloss.NewStyle().
+				Foreground(lipgloss.AdaptiveColor{Light: "244", Dark: "244"})
+
+	selectorMoreStyle = lipgloss.NewStyle().
+				PaddingLeft(6).
+				Foreground(lipgloss.AdaptiveColor{Light: "242", Dark: "246"}).
+				Italic(true)
+
+	sectionHeaderStyle = lipgloss.NewStyle().
+				PaddingLeft(2).
+				Bold(true).
+				Foreground(lipgloss.AdaptiveColor{Light: "240", Dark: "249"})
+)
+
+const maxSelectorItems = 10
+
+// ErrCancelled is returned when the user cancels the selection.
+var ErrCancelled = errors.New("cancelled")
+
+type SelectItem struct {
+	Name        string
+	Description string
+	Recommended bool
+}
+
+// ConvertItems converts config.ModelItem slice to SelectItem slice.
+func ConvertItems(items []config.ModelItem) []SelectItem {
+	out := make([]SelectItem, len(items))
+	for i, item := range items {
+		out[i] = SelectItem{Name: item.Name, Description: item.Description, Recommended: item.Recommended}
+	}
+	return out
+}
+
+// ReorderItems returns a copy with recommended items first, then non-recommended,
+// preserving relative order within each group. This ensures the data order matches
+// the visual section layout (Recommended / More).
+func ReorderItems(items []SelectItem) []SelectItem {
+	var rec, other []SelectItem
+	for _, item := range items {
+		if item.Recommended {
+			rec = append(rec, item)
+		} else {
+			other = append(other, item)
+		}
+	}
+	return append(rec, other...)
+}
+
+// selectorModel is the bubbletea model for single selection.
+type selectorModel struct {
+	title        string
+	items        []SelectItem
+	filter       string
+	cursor       int
+	scrollOffset int
+	selected     string
+	cancelled    bool
+	helpText     string
+	width        int
+}
+
+func (m selectorModel) filteredItems() []SelectItem {
+	if m.filter == "" {
+		return m.items
+	}
+	filterLower := strings.ToLower(m.filter)
+	var result []SelectItem
+	for _, item := range m.items {
+		if strings.Contains(strings.ToLower(item.Name), filterLower) {
+			result = append(result, item)
+		}
+	}
+	return result
+}
+
+func (m selectorModel) Init() tea.Cmd {
+	return nil
+}
+
+// otherStart returns the index of the first non-recommended item in the filtered list.
+// When filtering, all items scroll together so this returns 0.
+func (m selectorModel) otherStart() int {
+	if m.filter != "" {
+		return 0
+	}
+	filtered := m.filteredItems()
+	for i, item := range filtered {
+		if !item.Recommended {
+			return i
+		}
+	}
+	return len(filtered)
+}
+
+// updateNavigation handles navigation keys (up/down/pgup/pgdown/filter/backspace).
+// It does NOT handle Enter, Esc, or CtrlC. This is used by both the standalone
+// selector and the TUI modal (which intercepts Enter/Esc for its own logic).
+func (m *selectorModel) updateNavigation(msg tea.KeyMsg) {
+	filtered := m.filteredItems()
+	otherStart := m.otherStart()
+
+	switch msg.Type {
+	case tea.KeyUp:
+		if m.cursor > 0 {
+			m.cursor--
+			m.updateScroll(otherStart)
+		}
+
+	case tea.KeyDown:
+		if m.cursor < len(filtered)-1 {
+			m.cursor++
+			m.updateScroll(otherStart)
+		}
+
+	case tea.KeyPgUp:
+		m.cursor -= maxSelectorItems
+		if m.cursor < 0 {
+			m.cursor = 0
+		}
+		m.updateScroll(otherStart)
+
+	case tea.KeyPgDown:
+		m.cursor += maxSelectorItems
+		if m.cursor >= len(filtered) {
+			m.cursor = len(filtered) - 1
+		}
+		m.updateScroll(otherStart)
+
+	case tea.KeyBackspace:
+		if len(m.filter) > 0 {
+			m.filter = m.filter[:len(m.filter)-1]
+			m.cursor = 0
+			m.scrollOffset = 0
+		}
+
+	case tea.KeyRunes:
+		m.filter += string(msg.Runes)
+		m.cursor = 0
+		m.scrollOffset = 0
+	}
+}
+
+// updateScroll adjusts scrollOffset based on cursor position.
+// When not filtering, scrollOffset is relative to the "More" (non-recommended) section.
+// When filtering, it's relative to the full filtered list.
+func (m *selectorModel) updateScroll(otherStart int) {
+	if m.filter != "" {
+		if m.cursor < m.scrollOffset {
+			m.scrollOffset = m.cursor
+		}
+		if m.cursor >= m.scrollOffset+maxSelectorItems {
+			m.scrollOffset = m.cursor - maxSelectorItems + 1
+		}
+		return
+	}
+
+	// Cursor is in recommended section — reset "More" scroll to top
+	if m.cursor < otherStart {
+		m.scrollOffset = 0
+		return
+	}
+
+	// Cursor is in "More" section — scroll relative to others
+	posInOthers := m.cursor - otherStart
+	maxOthers := maxSelectorItems - otherStart
+	if maxOthers < 3 {
+		maxOthers = 3
+	}
+	if posInOthers < m.scrollOffset {
+		m.scrollOffset = posInOthers
+	}
+	if posInOthers >= m.scrollOffset+maxOthers {
+		m.scrollOffset = posInOthers - maxOthers + 1
+	}
+}
+
+func (m selectorModel) Update(msg tea.Msg) (tea.Model, tea.Cmd) {
+	switch msg := msg.(type) {
+	case tea.WindowSizeMsg:
+		wasSet := m.width > 0
+		m.width = msg.Width
+		if wasSet {
+			return m, tea.EnterAltScreen
+		}
+		return m, nil
+
+	case tea.KeyMsg:
+		switch msg.Type {
+		case tea.KeyCtrlC, tea.KeyEsc:
+			m.cancelled = true
+			return m, tea.Quit
+
+		case tea.KeyEnter:
+			filtered := m.filteredItems()
+			if len(filtered) > 0 && m.cursor < len(filtered) {
+				m.selected = filtered[m.cursor].Name
+			}
+			return m, tea.Quit
+
+		default:
+			m.updateNavigation(msg)
+		}
+	}
+
+	return m, nil
+}
+
+func (m selectorModel) renderItem(s *strings.Builder, item SelectItem, idx int) {
+	if idx == m.cursor {
+		s.WriteString(selectorSelectedItemStyle.Render("▸ " + item.Name))
+	} else {
+		s.WriteString(selectorItemStyle.Render(item.Name))
+	}
+	s.WriteString("\n")
+	if item.Description != "" {
+		s.WriteString(selectorDescLineStyle.Render(item.Description))
+		s.WriteString("\n")
+	}
+}
+
+// renderContent renders the selector content (title, items, help text) without
+// checking the cancelled/selected state. This is used by both View() (standalone mode)
+// and by the TUI modal which embeds a selectorModel.
+func (m selectorModel) renderContent() string {
+	var s strings.Builder
+
+	s.WriteString(selectorTitleStyle.Render(m.title))
+	s.WriteString(" ")
+	if m.filter == "" {
+		s.WriteString(selectorFilterStyle.Render("Type to filter..."))
+	} else {
+		s.WriteString(selectorInputStyle.Render(m.filter))
+	}
+	s.WriteString("\n\n")
+
+	filtered := m.filteredItems()
+
+	if len(filtered) == 0 {
+		s.WriteString(selectorItemStyle.Render(selectorDescStyle.Render("(no matches)")))
+		s.WriteString("\n")
+	} else if m.filter != "" {
+		s.WriteString(sectionHeaderStyle.Render("Top Results"))
+		s.WriteString("\n")
+
+		displayCount := min(len(filtered), maxSelectorItems)
+		for i := range displayCount {
+			idx := m.scrollOffset + i
+			if idx >= len(filtered) {
+				break
+			}
+			m.renderItem(&s, filtered[idx], idx)
+		}
+
+		if remaining := len(filtered) - m.scrollOffset - displayCount; remaining > 0 {
+			s.WriteString(selectorMoreStyle.Render(fmt.Sprintf("... and %d more", remaining)))
+			s.WriteString("\n")
+		}
+	} else {
+		// Split into pinned recommended and scrollable others
+		var recItems, otherItems []int
+		for i, item := range filtered {
+			if item.Recommended {
+				recItems = append(recItems, i)
+			} else {
+				otherItems = append(otherItems, i)
+			}
+		}
+
+		// Always render all recommended items (pinned)
+		if len(recItems) > 0 {
+			s.WriteString(sectionHeaderStyle.Render("Recommended"))
+			s.WriteString("\n")
+			for _, idx := range recItems {
+				m.renderItem(&s, filtered[idx], idx)
+			}
+		}
+
+		if len(otherItems) > 0 {
+			s.WriteString("\n")
+			s.WriteString(sectionHeaderStyle.Render("More"))
+			s.WriteString("\n")
+
+			maxOthers := maxSelectorItems - len(recItems)
+			if maxOthers < 3 {
+				maxOthers = 3
+			}
+			displayCount := min(len(otherItems), maxOthers)
+
+			for i := range displayCount {
+				idx := m.scrollOffset + i
+				if idx >= len(otherItems) {
+					break
+				}
+				m.renderItem(&s, filtered[otherItems[idx]], otherItems[idx])
+			}
+
+			if remaining := len(otherItems) - m.scrollOffset - displayCount; remaining > 0 {
+				s.WriteString(selectorMoreStyle.Render(fmt.Sprintf("... and %d more", remaining)))
+				s.WriteString("\n")
+			}
+		}
+	}
+
+	s.WriteString("\n")
+	help := "↑/↓ navigate • enter select • esc cancel"
+	if m.helpText != "" {
+		help = m.helpText
+	}
+	s.WriteString(selectorHelpStyle.Render(help))
+
+	return s.String()
+}
+
+func (m selectorModel) View() string {
+	if m.cancelled || m.selected != "" {
+		return ""
+	}
+
+	s := m.renderContent()
+	if m.width > 0 {
+		return lipgloss.NewStyle().MaxWidth(m.width).Render(s)
+	}
+	return s
+}
+
+func SelectSingle(title string, items []SelectItem) (string, error) {
+	if len(items) == 0 {
+		return "", fmt.Errorf("no items to select from")
+	}
+
+	m := selectorModel{
+		title: title,
+		items: items,
+	}
+
+	p := tea.NewProgram(m)
+	finalModel, err := p.Run()
+	if err != nil {
+		return "", fmt.Errorf("error running selector: %w", err)
+	}
+
+	fm := finalModel.(selectorModel)
+	if fm.cancelled {
+		return "", ErrCancelled
+	}
+
+	return fm.selected, nil
+}
+
+// multiSelectorModel is the bubbletea model for multi selection.
+type multiSelectorModel struct {
+	title        string
+	items        []SelectItem
+	itemIndex    map[string]int
+	filter       string
+	cursor       int
+	scrollOffset int
+	checked      map[int]bool
+	checkOrder   []int
+	cancelled    bool
+	confirmed    bool
+	width        int
+}
+
+func newMultiSelectorModel(title string, items []SelectItem, preChecked []string) multiSelectorModel {
+	m := multiSelectorModel{
+		title:     title,
+		items:     items,
+		itemIndex: make(map[string]int, len(items)),
+		checked:   make(map[int]bool),
+	}
+
+	for i, item := range items {
+		m.itemIndex[item.Name] = i
+	}
+
+	for _, name := range preChecked {
+		if idx, ok := m.itemIndex[name]; ok {
+			m.checked[idx] = true
+			m.checkOrder = append(m.checkOrder, idx)
+		}
+	}
+
+	return m
+}
+
+func (m multiSelectorModel) filteredItems() []SelectItem {
+	if m.filter == "" {
+		return m.items
+	}
+	filterLower := strings.ToLower(m.filter)
+	var result []SelectItem
+	for _, item := range m.items {
+		if strings.Contains(strings.ToLower(item.Name), filterLower) {
+			result = append(result, item)
+		}
+	}
+	return result
+}
+
+// otherStart returns the index of the first non-recommended item in the filtered list.
+func (m multiSelectorModel) otherStart() int {
+	if m.filter != "" {
+		return 0
+	}
+	filtered := m.filteredItems()
+	for i, item := range filtered {
+		if !item.Recommended {
+			return i
+		}
+	}
+	return len(filtered)
+}
+
+// updateScroll adjusts scrollOffset for section-based scrolling (matches single-select).
+func (m *multiSelectorModel) updateScroll(otherStart int) {
+	if m.filter != "" {
+		if m.cursor < m.scrollOffset {
+			m.scrollOffset = m.cursor
+		}
+		if m.cursor >= m.scrollOffset+maxSelectorItems {
+			m.scrollOffset = m.cursor - maxSelectorItems + 1
+		}
+		return
+	}
+
+	if m.cursor < otherStart {
+		m.scrollOffset = 0
+		return
+	}
+
+	posInOthers := m.cursor - otherStart
+	maxOthers := maxSelectorItems - otherStart
+	if maxOthers < 3 {
+		maxOthers = 3
+	}
+	if posInOthers < m.scrollOffset {
+		m.scrollOffset = posInOthers
+	}
+	if posInOthers >= m.scrollOffset+maxOthers {
+		m.scrollOffset = posInOthers - maxOthers + 1
+	}
+}
+
+func (m *multiSelectorModel) toggleItem() {
+	filtered := m.filteredItems()
+	if len(filtered) == 0 || m.cursor >= len(filtered) {
+		return
+	}
+
+	item := filtered[m.cursor]
+	origIdx := m.itemIndex[item.Name]
+
+	if m.checked[origIdx] {
+		delete(m.checked, origIdx)
+		for i, idx := range m.checkOrder {
+			if idx == origIdx {
+				m.checkOrder = append(m.checkOrder[:i], m.checkOrder[i+1:]...)
+				break
+			}
+		}
+	} else {
+		m.checked[origIdx] = true
+		m.checkOrder = append(m.checkOrder, origIdx)
+	}
+}
+
+func (m multiSelectorModel) selectedCount() int {
+	return len(m.checkOrder)
+}
+
+func (m multiSelectorModel) Init() tea.Cmd {
+	return nil
+}
+
+func (m multiSelectorModel) Update(msg tea.Msg) (tea.Model, tea.Cmd) {
+	switch msg := msg.(type) {
+	case tea.WindowSizeMsg:
+		wasSet := m.width > 0
+		m.width = msg.Width
+		if wasSet {
+			return m, tea.EnterAltScreen
+		}
+		return m, nil
+
+	case tea.KeyMsg:
+		filtered := m.filteredItems()
+
+		switch msg.Type {
+		case tea.KeyCtrlC, tea.KeyEsc:
+			m.cancelled = true
+			return m, tea.Quit
+
+		case tea.KeyEnter:
+			if len(m.checkOrder) > 0 {
+				m.confirmed = true
+				return m, tea.Quit
+			}
+
+		case tea.KeySpace:
+			m.toggleItem()
+
+		case tea.KeyUp:
+			if m.cursor > 0 {
+				m.cursor--
+				m.updateScroll(m.otherStart())
+			}
+
+		case tea.KeyDown:
+			if m.cursor < len(filtered)-1 {
+				m.cursor++
+				m.updateScroll(m.otherStart())
+			}
+
+		case tea.KeyPgUp:
+			m.cursor -= maxSelectorItems
+			if m.cursor < 0 {
+				m.cursor = 0
+			}
+			m.updateScroll(m.otherStart())
+
+		case tea.KeyPgDown:
+			m.cursor += maxSelectorItems
+			if m.cursor >= len(filtered) {
+				m.cursor = len(filtered) - 1
+			}
+			m.updateScroll(m.otherStart())
+
+		case tea.KeyBackspace:
+			if len(m.filter) > 0 {
+				m.filter = m.filter[:len(m.filter)-1]
+				m.cursor = 0
+				m.scrollOffset = 0
+			}
+
+		case tea.KeyRunes:
+			// On some terminals (e.g. Windows PowerShell), space arrives as
+			// KeyRunes instead of KeySpace. Intercept it so toggle still works.
+			if len(msg.Runes) == 1 && msg.Runes[0] == ' ' {
+				m.toggleItem()
+			} else {
+				m.filter += string(msg.Runes)
+				m.cursor = 0
+				m.scrollOffset = 0
+			}
+		}
+	}
+
+	return m, nil
+}
+
+func (m multiSelectorModel) renderMultiItem(s *strings.Builder, item SelectItem, idx int) {
+	origIdx := m.itemIndex[item.Name]
+
+	var check string
+	if m.checked[origIdx] {
+		check = "[x] "
+	} else {
+		check = "[ ] "
+	}
+
+	suffix := ""
+	if len(m.checkOrder) > 0 && m.checkOrder[0] == origIdx {
+		suffix = " " + selectorDefaultTagStyle.Render("(default)")
+	}
+
+	if idx == m.cursor {
+		s.WriteString(selectorSelectedItemStyle.Render("▸ " + check + item.Name))
+	} else {
+		s.WriteString(selectorItemStyle.Render(check + item.Name))
+	}
+	s.WriteString(suffix)
+	s.WriteString("\n")
+	if item.Description != "" {
+		s.WriteString(selectorDescLineStyle.Render(item.Description))
+		s.WriteString("\n")
+	}
+}
+
+func (m multiSelectorModel) View() string {
+	if m.cancelled || m.confirmed {
+		return ""
+	}
+
+	var s strings.Builder
+
+	s.WriteString(selectorTitleStyle.Render(m.title))
+	s.WriteString(" ")
+	if m.filter == "" {
+		s.WriteString(selectorFilterStyle.Render("Type to filter..."))
+	} else {
+		s.WriteString(selectorInputStyle.Render(m.filter))
+	}
+	s.WriteString("\n\n")
+
+	filtered := m.filteredItems()
+
+	if len(filtered) == 0 {
+		s.WriteString(selectorItemStyle.Render(selectorDescStyle.Render("(no matches)")))
+		s.WriteString("\n")
+	} else if m.filter != "" {
+		// Filtering: flat scroll through all matches
+		displayCount := min(len(filtered), maxSelectorItems)
+		for i := range displayCount {
+			idx := m.scrollOffset + i
+			if idx >= len(filtered) {
+				break
+			}
+			m.renderMultiItem(&s, filtered[idx], idx)
+		}
+
+		if remaining := len(filtered) - m.scrollOffset - displayCount; remaining > 0 {
+			s.WriteString(selectorMoreStyle.Render(fmt.Sprintf("... and %d more", remaining)))
+			s.WriteString("\n")
+		}
+	} else {
+		// Split into pinned recommended and scrollable others (matches single-select layout)
+		var recItems, otherItems []int
+		for i, item := range filtered {
+			if item.Recommended {
+				recItems = append(recItems, i)
+			} else {
+				otherItems = append(otherItems, i)
+			}
+		}
+
+		// Always render all recommended items (pinned)
+		if len(recItems) > 0 {
+			s.WriteString(sectionHeaderStyle.Render("Recommended"))
+			s.WriteString("\n")
+			for _, idx := range recItems {
+				m.renderMultiItem(&s, filtered[idx], idx)
+			}
+		}
+
+		if len(otherItems) > 0 {
+			s.WriteString("\n")
+			s.WriteString(sectionHeaderStyle.Render("More"))
+			s.WriteString("\n")
+
+			maxOthers := maxSelectorItems - len(recItems)
+			if maxOthers < 3 {
+				maxOthers = 3
+			}
+			displayCount := min(len(otherItems), maxOthers)
+
+			for i := range displayCount {
+				idx := m.scrollOffset + i
+				if idx >= len(otherItems) {
+					break
+				}
+				m.renderMultiItem(&s, filtered[otherItems[idx]], otherItems[idx])
+			}
+
+			if remaining := len(otherItems) - m.scrollOffset - displayCount; remaining > 0 {
+				s.WriteString(selectorMoreStyle.Render(fmt.Sprintf("... and %d more", remaining)))
+				s.WriteString("\n")
+			}
+		}
+	}
+
+	s.WriteString("\n")
+
+	count := m.selectedCount()
+	if count == 0 {
+		s.WriteString(selectorDescStyle.Render("  Select at least one model."))
+	} else {
+		s.WriteString(selectorDescStyle.Render(fmt.Sprintf("  %d selected - press enter to continue", count)))
+	}
+	s.WriteString("\n\n")
+
+	s.WriteString(selectorHelpStyle.Render("↑/↓ navigate • space toggle • enter confirm • esc cancel"))
+
+	result := s.String()
+	if m.width > 0 {
+		return lipgloss.NewStyle().MaxWidth(m.width).Render(result)
+	}
+	return result
+}
+
+func SelectMultiple(title string, items []SelectItem, preChecked []string) ([]string, error) {
+	if len(items) == 0 {
+		return nil, fmt.Errorf("no items to select from")
+	}
+
+	m := newMultiSelectorModel(title, items, preChecked)
+
+	p := tea.NewProgram(m)
+	finalModel, err := p.Run()
+	if err != nil {
+		return nil, fmt.Errorf("error running selector: %w", err)
+	}
+
+	fm := finalModel.(multiSelectorModel)
+	if fm.cancelled {
+		return nil, ErrCancelled
+	}
+
+	if !fm.confirmed {
+		return nil, ErrCancelled
+	}
+
+	var result []string
+	for _, idx := range fm.checkOrder {
+		result = append(result, fm.items[idx].Name)
+	}
+
+	return result, nil
+}

cmd/tui/selector_test.go

@@ -0,0 +1,610 @@
+package tui
+
+import (
+	"strings"
+	"testing"
+
+	tea "github.com/charmbracelet/bubbletea"
+)
+
+func items(names ...string) []SelectItem {
+	var out []SelectItem
+	for _, n := range names {
+		out = append(out, SelectItem{Name: n})
+	}
+	return out
+}
+
+func recItems(names ...string) []SelectItem {
+	var out []SelectItem
+	for _, n := range names {
+		out = append(out, SelectItem{Name: n, Recommended: true})
+	}
+	return out
+}
+
+func mixedItems() []SelectItem {
+	return []SelectItem{
+		{Name: "rec-a", Recommended: true},
+		{Name: "rec-b", Recommended: true},
+		{Name: "other-1"},
+		{Name: "other-2"},
+		{Name: "other-3"},
+		{Name: "other-4"},
+		{Name: "other-5"},
+		{Name: "other-6"},
+		{Name: "other-7"},
+		{Name: "other-8"},
+		{Name: "other-9"},
+		{Name: "other-10"},
+	}
+}
+
+func TestFilteredItems(t *testing.T) {
+	tests := []struct {
+		name   string
+		items  []SelectItem
+		filter string
+		want   []string
+	}{
+		{
+			name:   "no filter returns all",
+			items:  items("alpha", "beta", "gamma"),
+			filter: "",
+			want:   []string{"alpha", "beta", "gamma"},
+		},
+		{
+			name:   "filter matches substring",
+			items:  items("llama3.2", "qwen3:8b", "llama2"),
+			filter: "llama",
+			want:   []string{"llama3.2", "llama2"},
+		},
+		{
+			name:   "filter is case insensitive",
+			items:  items("Qwen3:8b", "llama3.2"),
+			filter: "QWEN",
+			want:   []string{"Qwen3:8b"},
+		},
+		{
+			name:   "no matches",
+			items:  items("alpha", "beta"),
+			filter: "zzz",
+			want:   nil,
+		},
+	}
+
+	for _, tt := range tests {
+		t.Run(tt.name, func(t *testing.T) {
+			m := selectorModel{items: tt.items, filter: tt.filter}
+			got := m.filteredItems()
+			var gotNames []string
+			for _, item := range got {
+				gotNames = append(gotNames, item.Name)
+			}
+			if len(gotNames) != len(tt.want) {
+				t.Fatalf("got %v, want %v", gotNames, tt.want)
+			}
+			for i := range tt.want {
+				if gotNames[i] != tt.want[i] {
+					t.Errorf("index %d: got %q, want %q", i, gotNames[i], tt.want[i])
+				}
+			}
+		})
+	}
+}
+
+func TestOtherStart(t *testing.T) {
+	tests := []struct {
+		name   string
+		items  []SelectItem
+		filter string
+		want   int
+	}{
+		{
+			name:  "all recommended",
+			items: recItems("a", "b", "c"),
+			want:  3,
+		},
+		{
+			name:  "none recommended",
+			items: items("a", "b"),
+			want:  0,
+		},
+		{
+			name: "mixed",
+			items: []SelectItem{
+				{Name: "rec-a", Recommended: true},
+				{Name: "rec-b", Recommended: true},
+				{Name: "other-1"},
+				{Name: "other-2"},
+			},
+			want: 2,
+		},
+		{
+			name:  "empty",
+			items: nil,
+			want:  0,
+		},
+		{
+			name: "filtering returns 0",
+			items: []SelectItem{
+				{Name: "rec-a", Recommended: true},
+				{Name: "other-1"},
+			},
+			filter: "rec",
+			want:   0,
+		},
+	}
+
+	for _, tt := range tests {
+		t.Run(tt.name, func(t *testing.T) {
+			m := selectorModel{items: tt.items, filter: tt.filter}
+			if got := m.otherStart(); got != tt.want {
+				t.Errorf("otherStart() = %d, want %d", got, tt.want)
+			}
+		})
+	}
+}
+
+func TestUpdateScroll(t *testing.T) {
+	tests := []struct {
+		name       string
+		cursor     int
+		offset     int
+		otherStart int
+		filter     string
+		wantOffset int
+	}{
+		{
+			name:       "cursor in recommended resets scroll",
+			cursor:     1,
+			offset:     5,
+			otherStart: 3,
+			wantOffset: 0,
+		},
+		{
+			name:       "cursor at start of others",
+			cursor:     2,
+			offset:     0,
+			otherStart: 2,
+			wantOffset: 0,
+		},
+		{
+			name:       "cursor scrolls down in others",
+			cursor:     12,
+			offset:     0,
+			otherStart: 2,
+			wantOffset: 3, // posInOthers=10, maxOthers=8, 10-8+1=3
+		},
+		{
+			name:       "cursor scrolls up in others",
+			cursor:     4,
+			offset:     5,
+			otherStart: 2,
+			wantOffset: 2, // posInOthers=2 < offset=5
+		},
+		{
+			name:       "filter mode standard scroll down",
+			cursor:     12,
+			offset:     0,
+			filter:     "x",
+			otherStart: 0,
+			wantOffset: 3, // 12 - 10 + 1 = 3
+		},
+		{
+			name:       "filter mode standard scroll up",
+			cursor:     2,
+			offset:     5,
+			filter:     "x",
+			otherStart: 0,
+			wantOffset: 2,
+		},
+	}
+
+	for _, tt := range tests {
+		t.Run(tt.name, func(t *testing.T) {
+			m := selectorModel{
+				cursor:       tt.cursor,
+				scrollOffset: tt.offset,
+				filter:       tt.filter,
+			}
+			m.updateScroll(tt.otherStart)
+			if m.scrollOffset != tt.wantOffset {
+				t.Errorf("scrollOffset = %d, want %d", m.scrollOffset, tt.wantOffset)
+			}
+		})
+	}
+}
+
+func TestRenderContent_SectionHeaders(t *testing.T) {
+	m := selectorModel{
+		title: "Pick:",
+		items: []SelectItem{
+			{Name: "rec-a", Recommended: true},
+			{Name: "other-1"},
+		},
+	}
+	content := m.renderContent()
+
+	if !strings.Contains(content, "Recommended") {
+		t.Error("should contain 'Recommended' header")
+	}
+	if !strings.Contains(content, "More") {
+		t.Error("should contain 'More' header")
+	}
+}
+
+func TestRenderContent_FilteredHeader(t *testing.T) {
+	m := selectorModel{
+		title:  "Pick:",
+		items:  items("alpha", "beta", "alphabet"),
+		filter: "alpha",
+	}
+	content := m.renderContent()
+
+	if !strings.Contains(content, "Top Results") {
+		t.Error("filtered view should contain 'Top Results' header")
+	}
+	if strings.Contains(content, "Recommended") {
+		t.Error("filtered view should not contain 'Recommended' header")
+	}
+}
+
+func TestRenderContent_NoMatches(t *testing.T) {
+	m := selectorModel{
+		title:  "Pick:",
+		items:  items("alpha"),
+		filter: "zzz",
+	}
+	content := m.renderContent()
+
+	if !strings.Contains(content, "(no matches)") {
+		t.Error("should show '(no matches)' when filter has no results")
+	}
+}
+
+func TestRenderContent_SelectedItemIndicator(t *testing.T) {
+	m := selectorModel{
+		title:  "Pick:",
+		items:  items("alpha", "beta"),
+		cursor: 0,
+	}
+	content := m.renderContent()
+
+	if !strings.Contains(content, "▸") {
+		t.Error("selected item should have ▸ indicator")
+	}
+}
+
+func TestRenderContent_Description(t *testing.T) {
+	m := selectorModel{
+		title: "Pick:",
+		items: []SelectItem{
+			{Name: "alpha", Description: "the first letter"},
+		},
+	}
+	content := m.renderContent()
+
+	if !strings.Contains(content, "the first letter") {
+		t.Error("should render item description")
+	}
+}
+
+func TestRenderContent_PinnedRecommended(t *testing.T) {
+	m := selectorModel{
+		title: "Pick:",
+		items: mixedItems(),
+		// cursor deep in "More" section
+		cursor:       8,
+		scrollOffset: 3,
+	}
+	content := m.renderContent()
+
+	// Recommended items should always be visible (pinned)
+	if !strings.Contains(content, "rec-a") {
+		t.Error("recommended items should always be rendered (pinned)")
+	}
+	if !strings.Contains(content, "rec-b") {
+		t.Error("recommended items should always be rendered (pinned)")
+	}
+}
+
+func TestRenderContent_MoreOverflowIndicator(t *testing.T) {
+	m := selectorModel{
+		title: "Pick:",
+		items: mixedItems(), // 2 rec + 10 other = 12 total, maxSelectorItems=10
+	}
+	content := m.renderContent()
+
+	if !strings.Contains(content, "... and") {
+		t.Error("should show overflow indicator when more items than visible")
+	}
+}
+
+func TestUpdateNavigation_CursorBounds(t *testing.T) {
+	m := selectorModel{
+		items:  items("a", "b", "c"),
+		cursor: 0,
+	}
+
+	// Up at top stays at 0
+	m.updateNavigation(keyMsg(KeyUp))
+	if m.cursor != 0 {
+		t.Errorf("cursor should stay at 0 when pressing up at top, got %d", m.cursor)
+	}
+
+	// Down moves to 1
+	m.updateNavigation(keyMsg(KeyDown))
+	if m.cursor != 1 {
+		t.Errorf("cursor should be 1 after down, got %d", m.cursor)
+	}
+
+	// Down to end
+	m.updateNavigation(keyMsg(KeyDown))
+	m.updateNavigation(keyMsg(KeyDown))
+	if m.cursor != 2 {
+		t.Errorf("cursor should be 2 at bottom, got %d", m.cursor)
+	}
+}
+
+func TestUpdateNavigation_FilterResetsState(t *testing.T) {
+	m := selectorModel{
+		items:        items("alpha", "beta"),
+		cursor:       1,
+		scrollOffset: 5,
+	}
+
+	m.updateNavigation(runeMsg('x'))
+	if m.filter != "x" {
+		t.Errorf("filter should be 'x', got %q", m.filter)
+	}
+	if m.cursor != 0 {
+		t.Errorf("cursor should reset to 0 on filter, got %d", m.cursor)
+	}
+	if m.scrollOffset != 0 {
+		t.Errorf("scrollOffset should reset to 0 on filter, got %d", m.scrollOffset)
+	}
+}
+
+func TestUpdateNavigation_Backspace(t *testing.T) {
+	m := selectorModel{
+		items:  items("alpha"),
+		filter: "abc",
+		cursor: 1,
+	}
+
+	m.updateNavigation(keyMsg(KeyBackspace))
+	if m.filter != "ab" {
+		t.Errorf("filter should be 'ab' after backspace, got %q", m.filter)
+	}
+	if m.cursor != 0 {
+		t.Errorf("cursor should reset to 0 on backspace, got %d", m.cursor)
+	}
+}
+
+// --- ReorderItems ---
+
+func TestReorderItems(t *testing.T) {
+	input := []SelectItem{
+		{Name: "local-1"},
+		{Name: "rec-a", Recommended: true},
+		{Name: "local-2"},
+		{Name: "rec-b", Recommended: true},
+	}
+	got := ReorderItems(input)
+	want := []string{"rec-a", "rec-b", "local-1", "local-2"}
+	for i, item := range got {
+		if item.Name != want[i] {
+			t.Errorf("index %d: got %q, want %q", i, item.Name, want[i])
+		}
+	}
+}
+
+func TestReorderItems_AllRecommended(t *testing.T) {
+	input := recItems("a", "b", "c")
+	got := ReorderItems(input)
+	if len(got) != 3 {
+		t.Fatalf("expected 3 items, got %d", len(got))
+	}
+	for i, item := range got {
+		if item.Name != input[i].Name {
+			t.Errorf("order should be preserved, index %d: got %q, want %q", i, item.Name, input[i].Name)
+		}
+	}
+}
+
+func TestReorderItems_NoneRecommended(t *testing.T) {
+	input := items("x", "y")
+	got := ReorderItems(input)
+	if len(got) != 2 || got[0].Name != "x" || got[1].Name != "y" {
+		t.Errorf("order should be preserved, got %v", got)
+	}
+}
+
+// --- Multi-select otherStart ---
+
+func TestMultiOtherStart(t *testing.T) {
+	tests := []struct {
+		name   string
+		items  []SelectItem
+		filter string
+		want   int
+	}{
+		{"all recommended", recItems("a", "b"), "", 2},
+		{"none recommended", items("a", "b"), "", 0},
+		{"mixed", mixedItems(), "", 2},
+		{"with filter returns 0", mixedItems(), "other", 0},
+	}
+	for _, tt := range tests {
+		t.Run(tt.name, func(t *testing.T) {
+			m := newMultiSelectorModel("test", tt.items, nil)
+			m.filter = tt.filter
+			if got := m.otherStart(); got != tt.want {
+				t.Errorf("otherStart() = %d, want %d", got, tt.want)
+			}
+		})
+	}
+}
+
+// --- Multi-select updateScroll ---
+
+func TestMultiUpdateScroll(t *testing.T) {
+	tests := []struct {
+		name       string
+		cursor     int
+		offset     int
+		otherStart int
+		wantOffset int
+	}{
+		{"cursor in recommended resets scroll", 1, 5, 3, 0},
+		{"cursor at start of others", 2, 0, 2, 0},
+		{"cursor scrolls down in others", 12, 0, 2, 3},
+		{"cursor scrolls up in others", 4, 5, 2, 2},
+	}
+	for _, tt := range tests {
+		t.Run(tt.name, func(t *testing.T) {
+			m := newMultiSelectorModel("test", nil, nil)
+			m.cursor = tt.cursor
+			m.scrollOffset = tt.offset
+			m.updateScroll(tt.otherStart)
+			if m.scrollOffset != tt.wantOffset {
+				t.Errorf("scrollOffset = %d, want %d", m.scrollOffset, tt.wantOffset)
+			}
+		})
+	}
+}
+
+// --- Multi-select View section headers ---
+
+func TestMultiView_SectionHeaders(t *testing.T) {
+	m := newMultiSelectorModel("Pick:", []SelectItem{
+		{Name: "rec-a", Recommended: true},
+		{Name: "other-1"},
+	}, nil)
+	content := m.View()
+
+	if !strings.Contains(content, "Recommended") {
+		t.Error("should contain 'Recommended' header")
+	}
+	if !strings.Contains(content, "More") {
+		t.Error("should contain 'More' header")
+	}
+}
+
+func TestMultiView_CursorIndicator(t *testing.T) {
+	m := newMultiSelectorModel("Pick:", items("a", "b"), nil)
+	m.cursor = 0
+	content := m.View()
+
+	if !strings.Contains(content, "▸") {
+		t.Error("should show ▸ cursor indicator")
+	}
+}
+
+func TestMultiView_CheckedItemShowsX(t *testing.T) {
+	m := newMultiSelectorModel("Pick:", items("a", "b"), []string{"a"})
+	content := m.View()
+
+	if !strings.Contains(content, "[x]") {
+		t.Error("checked item should show [x]")
+	}
+	if !strings.Contains(content, "[ ]") {
+		t.Error("unchecked item should show [ ]")
+	}
+}
+
+func TestMultiView_DefaultTag(t *testing.T) {
+	m := newMultiSelectorModel("Pick:", items("a", "b"), []string{"a"})
+	content := m.View()
+
+	if !strings.Contains(content, "(default)") {
+		t.Error("first checked item should have (default) tag")
+	}
+}
+
+func TestMultiView_PinnedRecommended(t *testing.T) {
+	m := newMultiSelectorModel("Pick:", mixedItems(), nil)
+	m.cursor = 8
+	m.scrollOffset = 3
+	content := m.View()
+
+	if !strings.Contains(content, "rec-a") {
+		t.Error("recommended items should always be visible (pinned)")
+	}
+	if !strings.Contains(content, "rec-b") {
+		t.Error("recommended items should always be visible (pinned)")
+	}
+}
+
+func TestMultiView_OverflowIndicator(t *testing.T) {
+	m := newMultiSelectorModel("Pick:", mixedItems(), nil)
+	content := m.View()
+
+	if !strings.Contains(content, "... and") {
+		t.Error("should show overflow indicator when more items than visible")
+	}
+}
+
+// --- Multi-select space toggle (including KeyRunes fallback for Windows PowerShell) ---
+
+func TestMultiUpdate_SpaceTogglesItem(t *testing.T) {
+	m := newMultiSelectorModel("Pick:", items("a", "b", "c"), nil)
+	m.cursor = 1
+
+	// Simulate space delivered as tea.KeySpace
+	updated, _ := m.Update(tea.KeyMsg{Type: tea.KeySpace})
+	m = updated.(multiSelectorModel)
+
+	if !m.checked[1] {
+		t.Error("space (KeySpace) should toggle the item at cursor")
+	}
+	if m.filter != "" {
+		t.Error("space should not modify filter")
+	}
+}
+
+func TestMultiUpdate_SpaceRuneTogglesItem(t *testing.T) {
+	m := newMultiSelectorModel("Pick:", items("a", "b", "c"), nil)
+	m.cursor = 1
+
+	// Simulate space delivered as tea.KeyRunes (Windows PowerShell behavior)
+	updated, _ := m.Update(tea.KeyMsg{Type: tea.KeyRunes, Runes: []rune{' '}})
+	m = updated.(multiSelectorModel)
+
+	if !m.checked[1] {
+		t.Error("space (KeyRunes) should toggle the item at cursor")
+	}
+	if m.filter != "" {
+		t.Error("space rune should not be added to filter")
+	}
+	if m.cursor != 1 {
+		t.Errorf("cursor should stay at 1, got %d", m.cursor)
+	}
+}
+
+// Key message helpers for testing
+
+type keyType = int
+
+const (
+	KeyUp        keyType = iota
+	KeyDown      keyType = iota
+	KeyBackspace keyType = iota
+)
+
+func keyMsg(k keyType) tea.KeyMsg {
+	switch k {
+	case KeyUp:
+		return tea.KeyMsg{Type: tea.KeyUp}
+	case KeyDown:
+		return tea.KeyMsg{Type: tea.KeyDown}
+	case KeyBackspace:
+		return tea.KeyMsg{Type: tea.KeyBackspace}
+	default:
+		return tea.KeyMsg{}
+	}
+}
+
+func runeMsg(r rune) tea.KeyMsg {
+	return tea.KeyMsg{Type: tea.KeyRunes, Runes: []rune{r}}
+}

cmd/tui/signin.go

@@ -0,0 +1,128 @@
+package tui
+
+import (
+	"fmt"
+	"strings"
+	"time"
+
+	tea "github.com/charmbracelet/bubbletea"
+	"github.com/charmbracelet/lipgloss"
+	"github.com/ollama/ollama/cmd/config"
+)
+
+type signInModel struct {
+	modelName string
+	signInURL string
+	spinner   int
+	width     int
+	userName  string
+	cancelled bool
+}
+
+func (m signInModel) Init() tea.Cmd {
+	return tea.Tick(200*time.Millisecond, func(t time.Time) tea.Msg {
+		return signInTickMsg{}
+	})
+}
+
+func (m signInModel) Update(msg tea.Msg) (tea.Model, tea.Cmd) {
+	switch msg := msg.(type) {
+	case tea.WindowSizeMsg:
+		wasSet := m.width > 0
+		m.width = msg.Width
+		if wasSet {
+			return m, tea.EnterAltScreen
+		}
+		return m, nil
+
+	case tea.KeyMsg:
+		switch msg.Type {
+		case tea.KeyCtrlC, tea.KeyEsc:
+			m.cancelled = true
+			return m, tea.Quit
+		}
+
+	case signInTickMsg:
+		m.spinner++
+		if m.spinner%5 == 0 {
+			return m, tea.Batch(
+				tea.Tick(200*time.Millisecond, func(t time.Time) tea.Msg {
+					return signInTickMsg{}
+				}),
+				checkSignIn,
+			)
+		}
+		return m, tea.Tick(200*time.Millisecond, func(t time.Time) tea.Msg {
+			return signInTickMsg{}
+		})
+
+	case signInCheckMsg:
+		if msg.signedIn {
+			m.userName = msg.userName
+			return m, tea.Quit
+		}
+	}
+
+	return m, nil
+}
+
+func (m signInModel) View() string {
+	if m.userName != "" {
+		return ""
+	}
+	return renderSignIn(m.modelName, m.signInURL, m.spinner, m.width)
+}
+
+func renderSignIn(modelName, signInURL string, spinner, width int) string {
+	spinnerFrames := []string{"⠋", "⠙", "⠹", "⠸", "⠼", "⠴", "⠦", "⠧", "⠇", "⠏"}
+	frame := spinnerFrames[spinner%len(spinnerFrames)]
+
+	urlColor := lipgloss.NewStyle().
+		Foreground(lipgloss.Color("117"))
+	urlWrap := lipgloss.NewStyle().PaddingLeft(2)
+	if width > 4 {
+		urlWrap = urlWrap.Width(width - 4)
+	}
+
+	var s strings.Builder
+
+	fmt.Fprintf(&s, "To use %s, please sign in.\n\n", selectorSelectedItemStyle.Render(modelName))
+
+	// Wrap in OSC 8 hyperlink so the entire URL is clickable even when wrapped.
+	// Padding is outside the hyperlink so spaces don't get underlined.
+	link := fmt.Sprintf("\033]8;;%s\033\\%s\033]8;;\033\\", signInURL, urlColor.Render(signInURL))
+	s.WriteString("Navigate to:\n")
+	s.WriteString(urlWrap.Render(link))
+	s.WriteString("\n\n")
+
+	s.WriteString(lipgloss.NewStyle().Foreground(lipgloss.AdaptiveColor{Light: "242", Dark: "246"}).Render(
+		frame + " Waiting for sign in to complete..."))
+	s.WriteString("\n\n")
+
+	s.WriteString(selectorHelpStyle.Render("esc cancel"))
+
+	return lipgloss.NewStyle().PaddingLeft(2).Render(s.String())
+}
+
+// RunSignIn shows a bubbletea sign-in dialog and polls until the user signs in or cancels.
+func RunSignIn(modelName, signInURL string) (string, error) {
+	config.OpenBrowser(signInURL)
+
+	m := signInModel{
+		modelName: modelName,
+		signInURL: signInURL,
+	}
+
+	p := tea.NewProgram(m)
+	finalModel, err := p.Run()
+	if err != nil {
+		return "", fmt.Errorf("error running sign-in: %w", err)
+	}
+
+	fm := finalModel.(signInModel)
+	if fm.cancelled {
+		return "", ErrCancelled
+	}
+
+	return fm.userName, nil
+}

cmd/tui/signin_test.go

@@ -0,0 +1,175 @@
+package tui
+
+import (
+	"strings"
+	"testing"
+
+	tea "github.com/charmbracelet/bubbletea"
+)
+
+func TestRenderSignIn_ContainsModelName(t *testing.T) {
+	got := renderSignIn("glm-4.7:cloud", "https://example.com/signin", 0, 80)
+	if !strings.Contains(got, "glm-4.7:cloud") {
+		t.Error("should contain model name")
+	}
+	if !strings.Contains(got, "please sign in") {
+		t.Error("should contain sign-in prompt")
+	}
+}
+
+func TestRenderSignIn_ContainsURL(t *testing.T) {
+	url := "https://ollama.com/connect?key=abc123"
+	got := renderSignIn("test:cloud", url, 0, 120)
+	if !strings.Contains(got, url) {
+		t.Errorf("should contain URL %q", url)
+	}
+}
+
+func TestRenderSignIn_OSC8Hyperlink(t *testing.T) {
+	url := "https://ollama.com/connect?key=abc123"
+	got := renderSignIn("test:cloud", url, 0, 120)
+
+	// Should contain OSC 8 open sequence with the URL
+	osc8Open := "\033]8;;" + url + "\033\\"
+	if !strings.Contains(got, osc8Open) {
+		t.Error("should contain OSC 8 open sequence with URL")
+	}
+
+	// Should contain OSC 8 close sequence
+	osc8Close := "\033]8;;\033\\"
+	if !strings.Contains(got, osc8Close) {
+		t.Error("should contain OSC 8 close sequence")
+	}
+}
+
+func TestRenderSignIn_ContainsSpinner(t *testing.T) {
+	got := renderSignIn("test:cloud", "https://example.com", 0, 80)
+	if !strings.Contains(got, "Waiting for sign in to complete") {
+		t.Error("should contain waiting message")
+	}
+	if !strings.Contains(got, "⠋") {
+		t.Error("should contain first spinner frame at spinner=0")
+	}
+}
+
+func TestRenderSignIn_SpinnerAdvances(t *testing.T) {
+	got0 := renderSignIn("test:cloud", "https://example.com", 0, 80)
+	got1 := renderSignIn("test:cloud", "https://example.com", 1, 80)
+	if got0 == got1 {
+		t.Error("different spinner values should produce different output")
+	}
+}
+
+func TestRenderSignIn_ContainsEscHelp(t *testing.T) {
+	got := renderSignIn("test:cloud", "https://example.com", 0, 80)
+	if !strings.Contains(got, "esc cancel") {
+		t.Error("should contain esc cancel help text")
+	}
+}
+
+func TestSignInModel_EscCancels(t *testing.T) {
+	m := signInModel{
+		modelName: "test:cloud",
+		signInURL: "https://example.com",
+	}
+
+	updated, cmd := m.Update(tea.KeyMsg{Type: tea.KeyEsc})
+	fm := updated.(signInModel)
+	if !fm.cancelled {
+		t.Error("esc should set cancelled=true")
+	}
+	if cmd == nil {
+		t.Error("esc should return tea.Quit")
+	}
+}
+
+func TestSignInModel_CtrlCCancels(t *testing.T) {
+	m := signInModel{
+		modelName: "test:cloud",
+		signInURL: "https://example.com",
+	}
+
+	updated, cmd := m.Update(tea.KeyMsg{Type: tea.KeyCtrlC})
+	fm := updated.(signInModel)
+	if !fm.cancelled {
+		t.Error("ctrl+c should set cancelled=true")
+	}
+	if cmd == nil {
+		t.Error("ctrl+c should return tea.Quit")
+	}
+}
+
+func TestSignInModel_SignedInQuitsClean(t *testing.T) {
+	m := signInModel{
+		modelName: "test:cloud",
+		signInURL: "https://example.com",
+	}
+
+	updated, cmd := m.Update(signInCheckMsg{signedIn: true, userName: "alice"})
+	fm := updated.(signInModel)
+	if fm.userName != "alice" {
+		t.Errorf("expected userName 'alice', got %q", fm.userName)
+	}
+	if cmd == nil {
+		t.Error("successful sign-in should return tea.Quit")
+	}
+}
+
+func TestSignInModel_SignedInViewClears(t *testing.T) {
+	m := signInModel{
+		modelName: "test:cloud",
+		signInURL: "https://example.com",
+		userName:  "alice",
+	}
+
+	got := m.View()
+	if got != "" {
+		t.Errorf("View should return empty string after sign-in, got %q", got)
+	}
+}
+
+func TestSignInModel_NotSignedInContinues(t *testing.T) {
+	m := signInModel{
+		modelName: "test:cloud",
+		signInURL: "https://example.com",
+	}
+
+	updated, _ := m.Update(signInCheckMsg{signedIn: false})
+	fm := updated.(signInModel)
+	if fm.userName != "" {
+		t.Error("should not set userName when not signed in")
+	}
+	if fm.cancelled {
+		t.Error("should not cancel when check returns not signed in")
+	}
+}
+
+func TestSignInModel_WindowSizeUpdatesWidth(t *testing.T) {
+	m := signInModel{
+		modelName: "test:cloud",
+		signInURL: "https://example.com",
+	}
+
+	updated, _ := m.Update(tea.WindowSizeMsg{Width: 120, Height: 40})
+	fm := updated.(signInModel)
+	if fm.width != 120 {
+		t.Errorf("expected width 120, got %d", fm.width)
+	}
+}
+
+func TestSignInModel_TickAdvancesSpinner(t *testing.T) {
+	m := signInModel{
+		modelName: "test:cloud",
+		signInURL: "https://example.com",
+		spinner:   0,
+	}
+
+	updated, cmd := m.Update(signInTickMsg{})
+	fm := updated.(signInModel)
+	if fm.spinner != 1 {
+		t.Errorf("expected spinner=1, got %d", fm.spinner)
+	}
+	if cmd == nil {
+		t.Error("tick should return a command")
+	}
+}

cmd/tui/tui.go

@@ -0,0 +1,718 @@
+package tui
+
+import (
+	"context"
+	"errors"
+	"fmt"
+	"strings"
+	"time"
+
+	tea "github.com/charmbracelet/bubbletea"
+	"github.com/charmbracelet/lipgloss"
+	"github.com/ollama/ollama/api"
+	"github.com/ollama/ollama/cmd/config"
+	"github.com/ollama/ollama/version"
+)
+
+var (
+	versionStyle = lipgloss.NewStyle().
+			Foreground(lipgloss.AdaptiveColor{Light: "243", Dark: "250"})
+
+	menuItemStyle = lipgloss.NewStyle().
+			PaddingLeft(2)
+
+	menuSelectedItemStyle = lipgloss.NewStyle().
+				Bold(true).
+				Background(lipgloss.AdaptiveColor{Light: "254", Dark: "236"})
+
+	menuDescStyle = selectorDescStyle.
+			PaddingLeft(4)
+
+	greyedStyle = menuItemStyle.
+			Foreground(lipgloss.AdaptiveColor{Light: "242", Dark: "246"})
+
+	greyedSelectedStyle = menuSelectedItemStyle.
+				Foreground(lipgloss.AdaptiveColor{Light: "242", Dark: "246"})
+
+	modelStyle = lipgloss.NewStyle().
+			Foreground(lipgloss.AdaptiveColor{Light: "243", Dark: "250"})
+
+	notInstalledStyle = lipgloss.NewStyle().
+				Foreground(lipgloss.AdaptiveColor{Light: "242", Dark: "246"}).
+				Italic(true)
+)
+
+type menuItem struct {
+	title       string
+	description string
+	integration string // integration name for loading model config, empty if not an integration
+	isRunModel  bool
+	isOthers    bool
+}
+
+var mainMenuItems = []menuItem{
+	{
+		title:       "Run a model",
+		description: "Start an interactive chat with a model",
+		isRunModel:  true,
+	},
+	{
+		title:       "Launch Claude Code",
+		description: "Agentic coding across large codebases",
+		integration: "claude",
+	},
+	{
+		title:       "Launch Codex",
+		description: "OpenAI's open-source coding agent",
+		integration: "codex",
+	},
+	{
+		title:       "Launch OpenClaw",
+		description: "Personal AI with 100+ skills",
+		integration: "openclaw",
+	},
+}
+
+var othersMenuItem = menuItem{
+	title:       "More...",
+	description: "Show additional integrations",
+	isOthers:    true,
+}
+
+// getOtherIntegrations dynamically builds the "Others" list from the integration
+// registry, excluding any integrations already present in the pinned mainMenuItems.
+func getOtherIntegrations() []menuItem {
+	pinned := map[string]bool{
+		"run": true, // not an integration but in the pinned list
+	}
+	for _, item := range mainMenuItems {
+		if item.integration != "" {
+			pinned[item.integration] = true
+		}
+	}
+
+	var others []menuItem
+	for _, info := range config.ListIntegrationInfos() {
+		if pinned[info.Name] {
+			continue
+		}
+		desc := info.Description
+		if desc == "" {
+			desc = "Open " + info.DisplayName + " integration"
+		}
+		others = append(others, menuItem{
+			title:       "Launch " + info.DisplayName,
+			description: desc,
+			integration: info.Name,
+		})
+	}
+	return others
+}
+
+type model struct {
+	items           []menuItem
+	cursor          int
+	quitting        bool
+	selected        bool
+	changeModel     bool
+	changeModels    []string // multi-select result for Editor integrations
+	showOthers      bool
+	availableModels map[string]bool
+	err             error
+
+	showingModal  bool
+	modalSelector selectorModel
+	modalItems    []SelectItem
+
+	showingMultiModal  bool
+	multiModalSelector multiSelectorModel
+
+	showingSignIn   bool
+	signInURL       string
+	signInModel     string
+	signInSpinner   int
+	signInFromModal bool // true if sign-in was triggered from modal (not main menu)
+
+	width     int    // terminal width from WindowSizeMsg
+	statusMsg string // temporary status message shown near help text
+}
+
+type signInTickMsg struct{}
+
+type signInCheckMsg struct {
+	signedIn bool
+	userName string
+}
+
+type clearStatusMsg struct{}
+
+func (m *model) modelExists(name string) bool {
+	if m.availableModels == nil || name == "" {
+		return false
+	}
+	if m.availableModels[name] {
+		return true
+	}
+	// Check for prefix match (e.g., "llama2" matches "llama2:latest")
+	for modelName := range m.availableModels {
+		if strings.HasPrefix(modelName, name+":") {
+			return true
+		}
+	}
+	return false
+}
+
+func (m *model) buildModalItems() []SelectItem {
+	modelItems, _ := config.GetModelItems(context.Background())
+	return ReorderItems(ConvertItems(modelItems))
+}
+
+func (m *model) openModelModal(currentModel string) {
+	m.modalItems = m.buildModalItems()
+	cursor := 0
+	if currentModel != "" {
+		for i, item := range m.modalItems {
+			if item.Name == currentModel || strings.HasPrefix(item.Name, currentModel+":") || strings.HasPrefix(currentModel, item.Name+":") {
+				cursor = i
+				break
+			}
+		}
+	}
+	m.modalSelector = selectorModel{
+		title:    "Select model:",
+		items:    m.modalItems,
+		cursor:   cursor,
+		helpText: "↑/↓ navigate • enter select • ← back",
+	}
+	m.modalSelector.updateScroll(m.modalSelector.otherStart())
+	m.showingModal = true
+}
+
+func (m *model) openMultiModelModal(integration string) {
+	items := m.buildModalItems()
+	var preChecked []string
+	if models := config.IntegrationModels(integration); len(models) > 0 {
+		preChecked = models
+	}
+	m.multiModalSelector = newMultiSelectorModel("Select models:", items, preChecked)
+	// Set cursor to the first pre-checked (last used) model
+	if len(preChecked) > 0 {
+		for i, item := range items {
+			if item.Name == preChecked[0] {
+				m.multiModalSelector.cursor = i
+				m.multiModalSelector.updateScroll(m.multiModalSelector.otherStart())
+				break
+			}
+		}
+	}
+	m.showingMultiModal = true
+}
+
+func isCloudModel(name string) bool {
+	return strings.HasSuffix(name, ":cloud") || strings.HasSuffix(name, "-cloud")
+}
+
+func cloudStatusDisabled(client *api.Client) bool {
+	status, err := client.CloudStatusExperimental(context.Background())
+	if err != nil {
+		return false
+	}
+	return status.Cloud.Disabled
+}
+
+func cloudModelDisabled(name string) bool {
+	if !isCloudModel(name) {
+		return false
+	}
+	client, err := api.ClientFromEnvironment()
+	if err != nil {
+		return false
+	}
+	return cloudStatusDisabled(client)
+}
+
+// checkCloudSignIn checks if a cloud model needs sign-in.
+// Returns a command to start sign-in if needed, or nil if already signed in.
+func (m *model) checkCloudSignIn(modelName string, fromModal bool) tea.Cmd {
+	if modelName == "" || !isCloudModel(modelName) {
+		return nil
+	}
+	client, err := api.ClientFromEnvironment()
+	if err != nil {
+		return nil
+	}
+	if cloudStatusDisabled(client) {
+		return nil
+	}
+	user, err := client.Whoami(context.Background())
+	if err == nil && user != nil && user.Name != "" {
+		return nil
+	}
+	var aErr api.AuthorizationError
+	if errors.As(err, &aErr) && aErr.SigninURL != "" {
+		return m.startSignIn(modelName, aErr.SigninURL, fromModal)
+	}
+	return nil
+}
+
+// startSignIn initiates the sign-in flow for a cloud model.
+// fromModal indicates if this was triggered from the model picker modal.
+func (m *model) startSignIn(modelName, signInURL string, fromModal bool) tea.Cmd {
+	m.showingModal = false
+	m.showingSignIn = true
+	m.signInURL = signInURL
+	m.signInModel = modelName
+	m.signInSpinner = 0
+	m.signInFromModal = fromModal
+
+	config.OpenBrowser(signInURL)
+
+	return tea.Tick(200*time.Millisecond, func(t time.Time) tea.Msg {
+		return signInTickMsg{}
+	})
+}
+
+func checkSignIn() tea.Msg {
+	client, err := api.ClientFromEnvironment()
+	if err != nil {
+		return signInCheckMsg{signedIn: false}
+	}
+	user, err := client.Whoami(context.Background())
+	if err == nil && user != nil && user.Name != "" {
+		return signInCheckMsg{signedIn: true, userName: user.Name}
+	}
+	return signInCheckMsg{signedIn: false}
+}
+
+func (m *model) loadAvailableModels() {
+	m.availableModels = make(map[string]bool)
+	client, err := api.ClientFromEnvironment()
+	if err != nil {
+		return
+	}
+	models, err := client.List(context.Background())
+	if err != nil {
+		return
+	}
+	cloudDisabled := cloudStatusDisabled(client)
+	for _, mdl := range models.Models {
+		if cloudDisabled && mdl.RemoteModel != "" {
+			continue
+		}
+		m.availableModels[mdl.Name] = true
+	}
+}
+
+func (m *model) buildItems() {
+	others := getOtherIntegrations()
+	m.items = make([]menuItem, 0, len(mainMenuItems)+1+len(others))
+	m.items = append(m.items, mainMenuItems...)
+
+	if m.showOthers {
+		m.items = append(m.items, others...)
+	} else {
+		m.items = append(m.items, othersMenuItem)
+	}
+}
+
+func isOthersIntegration(name string) bool {
+	for _, item := range getOtherIntegrations() {
+		if item.integration == name {
+			return true
+		}
+	}
+	return false
+}
+
+func initialModel() model {
+	m := model{
+		cursor: 0,
+	}
+	m.loadAvailableModels()
+
+	lastSelection := config.LastSelection()
+	if isOthersIntegration(lastSelection) {
+		m.showOthers = true
+	}
+
+	m.buildItems()
+
+	if lastSelection != "" {
+		for i, item := range m.items {
+			if lastSelection == "run" && item.isRunModel {
+				m.cursor = i
+				break
+			} else if item.integration == lastSelection {
+				m.cursor = i
+				break
+			}
+		}
+	}
+
+	return m
+}
+
+func (m model) Init() tea.Cmd {
+	return nil
+}
+
+func (m model) Update(msg tea.Msg) (tea.Model, tea.Cmd) {
+	if wmsg, ok := msg.(tea.WindowSizeMsg); ok {
+		wasSet := m.width > 0
+		m.width = wmsg.Width
+		if wasSet {
+			return m, tea.EnterAltScreen
+		}
+		return m, nil
+	}
+
+	if _, ok := msg.(clearStatusMsg); ok {
+		m.statusMsg = ""
+		return m, nil
+	}
+
+	if m.showingSignIn {
+		switch msg := msg.(type) {
+		case tea.KeyMsg:
+			switch msg.Type {
+			case tea.KeyCtrlC, tea.KeyEsc:
+				m.showingSignIn = false
+				if m.signInFromModal {
+					m.showingModal = true
+				}
+				return m, nil
+			}
+
+		case signInTickMsg:
+			m.signInSpinner++
+			// Check sign-in status every 5th tick (~1 second)
+			if m.signInSpinner%5 == 0 {
+				return m, tea.Batch(
+					tea.Tick(200*time.Millisecond, func(t time.Time) tea.Msg {
+						return signInTickMsg{}
+					}),
+					checkSignIn,
+				)
+			}
+			return m, tea.Tick(200*time.Millisecond, func(t time.Time) tea.Msg {
+				return signInTickMsg{}
+			})
+
+		case signInCheckMsg:
+			if msg.signedIn {
+				if m.signInFromModal {
+					m.modalSelector.selected = m.signInModel
+					m.changeModel = true
+				} else {
+					m.selected = true
+				}
+				m.quitting = true
+				return m, tea.Quit
+			}
+		}
+		return m, nil
+	}
+
+	if m.showingMultiModal {
+		switch msg := msg.(type) {
+		case tea.KeyMsg:
+			if msg.Type == tea.KeyLeft {
+				m.showingMultiModal = false
+				return m, nil
+			}
+			updated, cmd := m.multiModalSelector.Update(msg)
+			m.multiModalSelector = updated.(multiSelectorModel)
+
+			if m.multiModalSelector.cancelled {
+				m.showingMultiModal = false
+				return m, nil
+			}
+			if m.multiModalSelector.confirmed {
+				var selected []string
+				for _, idx := range m.multiModalSelector.checkOrder {
+					selected = append(selected, m.multiModalSelector.items[idx].Name)
+				}
+				if len(selected) > 0 {
+					m.changeModels = selected
+					m.changeModel = true
+					m.quitting = true
+					return m, tea.Quit
+				}
+				m.multiModalSelector.confirmed = false
+				return m, nil
+			}
+			return m, cmd
+		}
+		return m, nil
+	}
+
+	if m.showingModal {
+		switch msg := msg.(type) {
+		case tea.KeyMsg:
+			switch msg.Type {
+			case tea.KeyCtrlC, tea.KeyEsc, tea.KeyLeft:
+				m.showingModal = false
+				return m, nil
+
+			case tea.KeyEnter:
+				filtered := m.modalSelector.filteredItems()
+				if len(filtered) > 0 && m.modalSelector.cursor < len(filtered) {
+					m.modalSelector.selected = filtered[m.modalSelector.cursor].Name
+				}
+				if m.modalSelector.selected != "" {
+					if cmd := m.checkCloudSignIn(m.modalSelector.selected, true); cmd != nil {
+						return m, cmd
+					}
+					m.changeModel = true
+					m.quitting = true
+					return m, tea.Quit
+				}
+				return m, nil
+
+			default:
+				// Delegate navigation (up/down/pgup/pgdown/filter/backspace) to selectorModel
+				m.modalSelector.updateNavigation(msg)
+			}
+		}
+		return m, nil
+	}
+
+	switch msg := msg.(type) {
+	case tea.KeyMsg:
+		switch msg.String() {
+		case "ctrl+c", "q", "esc":
+			m.quitting = true
+			return m, tea.Quit
+
+		case "up", "k":
+			if m.cursor > 0 {
+				m.cursor--
+			}
+			// Auto-collapse "Others" when cursor moves back into pinned items
+			if m.showOthers && m.cursor < len(mainMenuItems) {
+				m.showOthers = false
+				m.buildItems()
+			}
+
+		case "down", "j":
+			if m.cursor < len(m.items)-1 {
+				m.cursor++
+			}
+			// Auto-expand "Others..." when cursor lands on it
+			if m.cursor < len(m.items) && m.items[m.cursor].isOthers && !m.showOthers {
+				m.showOthers = true
+				m.buildItems()
+				// cursor now points at the first "other" integration
+			}
+
+		case "enter", " ":
+			item := m.items[m.cursor]
+
+			if item.integration != "" && !config.IsIntegrationInstalled(item.integration) {
+				return m, nil
+			}
+
+			var configuredModel string
+			if item.isRunModel {
+				configuredModel = config.LastModel()
+			} else if item.integration != "" {
+				configuredModel = config.IntegrationModel(item.integration)
+			}
+			if cmd := m.checkCloudSignIn(configuredModel, false); cmd != nil {
+				return m, cmd
+			}
+
+			if configuredModel != "" && isCloudModel(configuredModel) && cloudModelDisabled(configuredModel) {
+				if item.integration != "" && config.IsEditorIntegration(item.integration) {
+					m.openMultiModelModal(item.integration)
+				} else {
+					m.openModelModal(configuredModel)
+				}
+				return m, nil
+			}
+
+			m.selected = true
+			m.quitting = true
+			return m, tea.Quit
+
+		case "right", "l":
+			item := m.items[m.cursor]
+			if item.integration != "" || item.isRunModel {
+				if item.integration != "" && !config.IsIntegrationInstalled(item.integration) {
+					return m, nil
+				}
+				if item.integration != "" && config.IsEditorIntegration(item.integration) {
+					m.openMultiModelModal(item.integration)
+				} else {
+					var currentModel string
+					if item.isRunModel {
+						currentModel = config.LastModel()
+					} else if item.integration != "" {
+						currentModel = config.IntegrationModel(item.integration)
+					}
+					m.openModelModal(currentModel)
+				}
+			}
+		}
+	}
+
+	return m, nil
+}
+
+func (m model) View() string {
+	if m.quitting {
+		return ""
+	}
+
+	if m.showingSignIn {
+		return m.renderSignInDialog()
+	}
+
+	if m.showingMultiModal {
+		return m.multiModalSelector.View()
+	}
+
+	if m.showingModal {
+		return m.renderModal()
+	}
+
+	s := selectorTitleStyle.Render("Ollama "+versionStyle.Render(version.Version)) + "\n\n"
+
+	for i, item := range m.items {
+		cursor := ""
+		style := menuItemStyle
+		isInstalled := true
+
+		if item.integration != "" {
+			isInstalled = config.IsIntegrationInstalled(item.integration)
+		}
+
+		if m.cursor == i {
+			cursor = "▸ "
+			if isInstalled {
+				style = menuSelectedItemStyle
+			} else {
+				style = greyedSelectedStyle
+			}
+		} else if !isInstalled && item.integration != "" {
+			style = greyedStyle
+		}
+
+		title := item.title
+		var modelSuffix string
+		if item.integration != "" {
+			if !isInstalled {
+				title += " " + notInstalledStyle.Render("(not installed)")
+			} else if m.cursor == i {
+				if mdl := config.IntegrationModel(item.integration); mdl != "" && m.modelExists(mdl) {
+					modelSuffix = " " + modelStyle.Render("("+mdl+")")
+				}
+			}
+		} else if item.isRunModel && m.cursor == i {
+			if mdl := config.LastModel(); mdl != "" && m.modelExists(mdl) {
+				modelSuffix = " " + modelStyle.Render("("+mdl+")")
+			}
+		}
+
+		s += style.Render(cursor+title) + modelSuffix + "\n"
+
+		desc := item.description
+		if !isInstalled && item.integration != "" && m.cursor == i {
+			if hint := config.IntegrationInstallHint(item.integration); hint != "" {
+				desc = hint
+			} else {
+				desc = "not installed"
+			}
+		}
+		s += menuDescStyle.Render(desc) + "\n\n"
+	}
+
+	if m.statusMsg != "" {
+		s += "\n" + lipgloss.NewStyle().Foreground(lipgloss.AdaptiveColor{Light: "124", Dark: "210"}).Render(m.statusMsg) + "\n"
+	}
+
+	s += "\n" + selectorHelpStyle.Render("↑/↓ navigate • enter launch • → change model • esc quit")
+
+	if m.width > 0 {
+		return lipgloss.NewStyle().MaxWidth(m.width).Render(s)
+	}
+	return s
+}
+
+func (m model) renderModal() string {
+	modalStyle := lipgloss.NewStyle().
+		PaddingBottom(1).
+		PaddingRight(2)
+
+	s := modalStyle.Render(m.modalSelector.renderContent())
+	if m.width > 0 {
+		return lipgloss.NewStyle().MaxWidth(m.width).Render(s)
+	}
+	return s
+}
+
+func (m model) renderSignInDialog() string {
+	return renderSignIn(m.signInModel, m.signInURL, m.signInSpinner, m.width)
+}
+
+type Selection int
+
+const (
+	SelectionNone Selection = iota
+	SelectionRunModel
+	SelectionChangeRunModel
+	SelectionIntegration       // Generic integration selection
+	SelectionChangeIntegration // Generic change model for integration
+)
+
+type Result struct {
+	Selection   Selection
+	Integration string   // integration name if applicable
+	Model       string   // model name if selected from single-select modal
+	Models      []string // models selected from multi-select modal (Editor integrations)
+}
+
+func Run() (Result, error) {
+	m := initialModel()
+	p := tea.NewProgram(m)
+
+	finalModel, err := p.Run()
+	if err != nil {
+		return Result{Selection: SelectionNone}, fmt.Errorf("error running TUI: %w", err)
+	}
+
+	fm := finalModel.(model)
+	if fm.err != nil {
+		return Result{Selection: SelectionNone}, fm.err
+	}
+
+	if !fm.selected && !fm.changeModel {
+		return Result{Selection: SelectionNone}, nil
+	}
+
+	item := fm.items[fm.cursor]
+
+	if fm.changeModel {
+		if item.isRunModel {
+			return Result{
+				Selection: SelectionChangeRunModel,
+				Model:     fm.modalSelector.selected,
+			}, nil
+		}
+		return Result{
+			Selection:   SelectionChangeIntegration,
+			Integration: item.integration,
+			Model:       fm.modalSelector.selected,
+			Models:      fm.changeModels,
+		}, nil
+	}
+
+	if item.isRunModel {
+		return Result{Selection: SelectionRunModel}, nil
+	}
+
+	return Result{
+		Selection:   SelectionIntegration,
+		Integration: item.integration,
+	}, nil
+}

docs/cloud.mdx

@@ -226,3 +226,7 @@ curl https://ollama.com/api/chat \
 
   </Tab>
 </Tabs>
+
+## Local only
+
+Ollama can run in local-only mode by [disabling Ollama's cloud](./faq#how-do-i-disable-ollama-cloud) features.

docs/context-length.mdx

@@ -5,7 +5,10 @@ title: Context length
 Context length is the maximum number of tokens that the model has access to in memory.  
 
 <Note>
-  The default context length in Ollama is 4096 tokens.
+  Ollama defaults to the following context lengths based on VRAM:
+    - < 24 GiB VRAM: 4k context
+    - 24-48 GiB VRAM: 32k context
+    - &gt;= 48 GiB VRAM: 256k context
 </Note>
 
 Tasks which require large context like web search, agents, and coding tools should be set to at least 64000 tokens.

docs/docs.json

@@ -105,21 +105,52 @@
           {
             "group": "Integrations",
             "pages": [
-              "/integrations/claude-code",
-              "/integrations/cline",
-              "/integrations/openclaw",
-              "/integrations/codex",
-              "/integrations/droid",
-              "/integrations/goose",
-              "/integrations/jetbrains",
-              "/integrations/marimo",
-              "/integrations/n8n",
-              "/integrations/onyx",
-              "/integrations/opencode",
-              "/integrations/roo-code",
-              "/integrations/vscode",
-              "/integrations/xcode",
-              "/integrations/zed"
+              "/integrations/index",
+              {
+                "group": "Coding",
+                "pages": [
+                  "/integrations/claude-code",
+                  "/integrations/codex",
+                  "/integrations/opencode",
+                  "/integrations/droid",
+                  "/integrations/goose"
+                ]
+              },
+              {
+                "group": "Assistants",
+                "pages": [
+                  "/integrations/openclaw"
+                ]
+              },
+              {
+                "group": "IDEs & Editors",
+                "pages": [
+                  "/integrations/cline",
+                  "/integrations/jetbrains",
+                  "/integrations/roo-code",
+                  "/integrations/vscode",
+                  "/integrations/xcode",
+                  "/integrations/zed"
+                ]
+              },
+              {
+                "group": "Chat & RAG",
+                "pages": [
+                  "/integrations/onyx"
+                ]
+              },
+              {
+                "group": "Automation",
+                "pages": [
+                  "/integrations/n8n"
+                ]
+              },
+              {
+                "group": "Notebooks",
+                "pages": [
+                  "/integrations/marimo"
+                ]
+              }
             ]
           },
           {

docs/faq.mdx

@@ -14,11 +14,11 @@ curl -fsSL https://ollama.com/install.sh | sh
 
 ## How can I view the logs?
 
-Review the [Troubleshooting](./troubleshooting) docs for more about using logs.
+Review the [Troubleshooting](./troubleshooting.mdx) docs for more about using logs.
 
 ## Is my GPU compatible with Ollama?
 
-Please refer to the [GPU docs](./gpu).
+Please refer to the [GPU docs](./gpu.mdx).
 
 ## How can I specify the context window size?
 
@@ -66,7 +66,7 @@ llama3:70b  bcfb190ca3a7  42 GB   100% GPU    4 minutes from now
 ```
 </Info>
 
-The `Processor` column will show which memory the model was loaded in to:
+The `Processor` column will show which memory the model was loaded into:
 
 - `100% GPU` means the model was loaded entirely into the GPU
 - `100% CPU` means the model was loaded entirely in system memory
@@ -158,7 +158,27 @@ docker run -d -e HTTPS_PROXY=https://my.proxy.example.com -p 11434:11434 ollama-
 
 ## Does Ollama send my prompts and answers back to ollama.com?
 
-No. Ollama runs locally, and conversation data does not leave your machine.
+Ollama runs locally. We don't see your prompts or data when you run locally. When using cloud-hosted models, we process your prompts and responses to provide the service but do not store or log that content and never train on it. We collect basic account info and limited usage metadata to provide the service that does not include prompt or response content. We don't sell your data. You can delete your account anytime.
+
+## How do I disable Ollama's cloud features?
+
+Ollama can run in local only mode by disabling Ollama's cloud features. By turning off Ollama's cloud features, you will lose the ability to use Ollama's cloud models and web search. 
+
+Set `disable_ollama_cloud` in `~/.ollama/server.json`:
+
+```json
+{
+  "disable_ollama_cloud": true
+}
+```
+
+You can also set the environment variable:
+
+```shell
+OLLAMA_NO_CLOUD=1
+```
+
+Restart Ollama after changing configuration. Once disabled, Ollama's logs will show `Ollama cloud disabled: true`. 
 
 ## How can I expose Ollama on my network?
 
@@ -183,7 +203,7 @@ server {
 
 ## How can I use Ollama with ngrok?
 
-Ollama can be accessed using a range of tools for tunneling tools. For example with Ngrok:
+Ollama can be accessed using a range of tunneling apps. For example with Ngrok:
 
 ```shell
 ngrok http 11434 --host-header="localhost:11434"
@@ -240,7 +260,7 @@ GPU acceleration is not available for Docker Desktop in macOS due to the lack of
 
 This can impact both installing Ollama, as well as downloading models.
 
-Open `Control Panel > Networking and Internet > View network status and tasks` and click on `Change adapter settings` on the left panel. Find the `vEthernel (WSL)` adapter, right click and select `Properties`.
+Open `Control Panel > Networking and Internet > View network status and tasks` and click on `Change adapter settings` on the left panel. Find the `vEthernet (WSL)` adapter, right click and select `Properties`.
 Click on `Configure` and open the `Advanced` tab. Search through each of the properties until you find `Large Send Offload Version 2 (IPv4)` and `Large Send Offload Version 2 (IPv6)`. _Disable_ both of these
 properties.
 
@@ -299,7 +319,7 @@ The `keep_alive` API parameter with the `/api/generate` and `/api/chat` API endp
 
 ## How do I manage the maximum number of requests the Ollama server can queue?
 
-If too many requests are sent to the server, it will respond with a 503 error indicating the server is overloaded. You can adjust how many requests may be queue by setting `OLLAMA_MAX_QUEUE`.
+If too many requests are sent to the server, it will respond with a 503 error indicating the server is overloaded. You can adjust how many requests may be queued by setting `OLLAMA_MAX_QUEUE`.
 
 ## How does Ollama handle concurrent requests?
 
@@ -312,10 +332,10 @@ Parallel request processing for a given model results in increasing the context
 The following server settings may be used to adjust how Ollama handles concurrent requests on most platforms:
 
 - `OLLAMA_MAX_LOADED_MODELS` - The maximum number of models that can be loaded concurrently provided they fit in available memory. The default is 3 \* the number of GPUs or 3 for CPU inference.
-- `OLLAMA_NUM_PARALLEL` - The maximum number of parallel requests each model will process at the same time. The default will auto-select either 4 or 1 based on available memory.
+- `OLLAMA_NUM_PARALLEL` - The maximum number of parallel requests each model will process at the same time, default 1.  Required RAM will scale by `OLLAMA_NUM_PARALLEL` * `OLLAMA_CONTEXT_LENGTH`.
 - `OLLAMA_MAX_QUEUE` - The maximum number of requests Ollama will queue when busy before rejecting additional requests. The default is 512
 
-Note: Windows with Radeon GPUs currently default to 1 model maximum due to limitations in ROCm v5.7 for available VRAM reporting. Once ROCm v6.2 is available, Windows Radeon will follow the defaults above. You may enable concurrent model loads on Radeon on Windows, but ensure you don't load more models than will fit into your GPUs VRAM.
+Note: Windows with Radeon GPUs currently default to 1 model maximum due to limitations in ROCm v5.7 for available VRAM reporting. Once ROCm v6.2 is available, Windows Radeon will follow the defaults above. You may enable concurrent model loads on Radeon on Windows, but ensure you don't load more models than will fit into your GPU's VRAM.
 
 ## How does Ollama load models on multiple GPUs?
 
@@ -382,7 +402,7 @@ ollama signin
   Replace &lt;username&gt; with your actual Windows user name.
 </Note>
 
-## How can I stop Ollama from starting when I login to my computer
+## How can I stop Ollama from starting when I login to my computer?
 
 Ollama for Windows and macOS register as a login item during installation.  You can disable this if you prefer not to have Ollama automatically start.  Ollama will respect this setting across upgrades, unless you uninstall the application.
 
@@ -390,4 +410,4 @@ Ollama for Windows and macOS register as a login item during installation.  You
 - In `Task Manager` go to the `Startup apps` tab, search for `ollama` then click `Disable`
 
 **MacOS**
-- Open `Settings` and search for "Login Items", find the `Ollama` entry under "Allow in the Background`, then click the slider to disable.
+- Open `Settings` and search for "Login Items", find the `Ollama` entry under `Allow in the Background`, then click the slider to disable.

docs/integrations/index.mdx

@@ -0,0 +1,50 @@
+---
+title: Overview
+---
+
+Ollama integrates with a wide range of tools.
+
+## Coding Agents
+
+Coding assistants that can read, modify, and execute code in your projects.
+
+- [Claude Code](/integrations/claude-code)
+- [Codex](/integrations/codex)
+- [OpenCode](/integrations/opencode)
+- [Droid](/integrations/droid)
+- [Goose](/integrations/goose)
+
+## Assistants
+
+AI assistants that help with everyday tasks.
+
+- [OpenClaw](/integrations/openclaw)
+
+## IDEs & Editors
+
+Native integrations for popular development environments.
+
+- [VS Code](/integrations/vscode)
+- [Cline](/integrations/cline)
+- [Roo Code](/integrations/roo-code)
+- [JetBrains](/integrations/jetbrains)
+- [Xcode](/integrations/xcode)
+- [Zed](/integrations/zed)
+
+## Chat & RAG
+
+Chat interfaces and retrieval-augmented generation platforms.
+
+- [Onyx](/integrations/onyx)
+
+## Automation
+
+Workflow automation platforms with AI integration.
+
+- [n8n](/integrations/n8n)
+
+## Notebooks
+
+Interactive computing environments with AI capabilities.
+
+- [marimo](/integrations/marimo)

docs/openapi.yaml

@@ -596,6 +596,15 @@ components:
         name:
           type: string
           description: Model name
+        model:
+          type: string
+          description: Model name
+        remote_model:
+          type: string
+          description: Name of the upstream model, if the model is remote
+        remote_host:
+          type: string
+          description: URL of the upstream Ollama host, if the model is remote
         modified_at:
           type: string
           description: Last modified timestamp in ISO 8601 format
@@ -636,6 +645,9 @@ components:
     Ps:
       type: object
       properties:
+        name:
+          type: string
+          description: Name of the running model
         model:
           type: string
           description: Name of the running model
@@ -1137,6 +1149,7 @@ paths:
               example:
                 models:
                   - name: "gemma3"
+                    model: "gemma3"
                     modified_at: "2025-10-03T23:34:03.409490317-07:00"
                     size: 3338801804
                     digest: "a2af6cc3eb7fa8be8504abaf9b04e88f17a119ec3f04a3addf55f92841195f5a"
@@ -1168,7 +1181,8 @@ paths:
                 $ref: "#/components/schemas/PsResponse"
               example:
                 models:
-                  - model: "gemma3"
+                  - name: "gemma3"
+                    model: "gemma3"
                     size: 6591830464
                     digest: "a2af6cc3eb7fa8be8504abaf9b04e88f17a119ec3f04a3addf55f92841195f5a"
                     details:

docs/quickstart.mdx

@@ -2,7 +2,7 @@
 title: Quickstart
 ---
 
-This quickstart will walk your through running your first model with Ollama. To get started, download Ollama on macOS, Windows or Linux.
+Ollama is available on macOS, Windows, and Linux.
 
 <a
   href="https://ollama.com/download"
@@ -12,131 +12,48 @@ This quickstart will walk your through running your first model with Ollama. To
   Download Ollama
 </a>
 
-## Run a model
+## Get Started
 
-<Tabs>
-  <Tab title="CLI">
-    Open a terminal and run the command:
-
-    ```sh
-    ollama run gemma3
-    ```
-
-  </Tab>
-  <Tab title="cURL">
-    ```sh
-    ollama pull gemma3
-    ```
-
-    Lastly, chat with the model:
-
-    ```shell
-    curl http://localhost:11434/api/chat -d '{
-      "model": "gemma3",
-      "messages": [{
-        "role": "user",
-        "content": "Hello there!"
-      }],
-      "stream": false
-    }'
-    ```
-
-  </Tab>
-  <Tab title="Python">
-    Start by downloading a model:
-
-    ```sh
-    ollama pull gemma3
-    ```
-
-    Then install Ollama's Python library:
-
-    ```sh
-    pip install ollama
-    ```
-
-    Lastly, chat with the model:
-
-    ```python
-    from ollama import chat
-    from ollama import ChatResponse
-
-    response: ChatResponse = chat(model='gemma3', messages=[
-      {
-        'role': 'user',
-        'content': 'Why is the sky blue?',
-      },
-    ])
-    print(response['message']['content'])
-    # or access fields directly from the response object
-    print(response.message.content)
-    ```
-
-  </Tab>
-  <Tab title="JavaScript">
-    Start by downloading a model:
-
-    ```
-    ollama pull gemma3
-    ```
-
-    Then install the Ollama JavaScript library:
-    ```
-    npm i ollama
-    ```
-
-    Lastly, chat with the model:
-
-    ```shell
-    import ollama from 'ollama'
-
-    const response = await ollama.chat({
-      model: 'gemma3',
-      messages: [{ role: 'user', content: 'Why is the sky blue?' }],
-    })
-    console.log(response.message.content)
-    ```
-
-  </Tab>
-</Tabs>
-
-See a full list of available models [here](https://ollama.com/models).
-
-## Coding 
-
-For coding use cases, we recommend using the `glm-4.7-flash` model. 
-
-Note: this model requires 23 GB of VRAM with 64000 tokens context length.
-```sh
-ollama pull glm-4.7-flash 
-```
-
-Alternatively, you can use a more powerful cloud model (with full context length):
-```sh
-ollama pull glm-4.7:cloud
-```
-
-Use `ollama launch` to quickly set up a coding tool with Ollama models:
+Run `ollama` in your terminal to open the interactive menu:
 
 ```sh
-ollama launch
+ollama
 ```
 
-### Supported integrations
+Navigate with `↑/↓`, press `enter` to launch, `→` to change model, and `esc` to quit.
 
-- [OpenCode](/integrations/opencode) - Open-source coding assistant
-- [Claude Code](/integrations/claude-code) - Anthropic's agentic coding tool
-- [Codex](/integrations/codex) - OpenAI's coding assistant
-- [Droid](/integrations/droid) - Factory's AI coding agent
+The menu provides quick access to:
+- **Run a model** - Start an interactive chat
+- **Launch tools** - Claude Code, Codex, OpenClaw, and more
+- **Additional integrations** - Available under "More..."
 
-### Launch with a specific model
+## Coding
+
+Launch coding tools with Ollama models:
 
 ```sh
-ollama launch claude --model glm-4.7-flash
+ollama launch claude
 ```
 
-### Configure without launching
-
 ```sh
-ollama launch claude --config
+ollama launch codex
 ```
+
+```sh
+ollama launch opencode
+```
+
+See [integrations](/integrations) for all supported tools.
+
+## API
+
+Use the [API](/api) to integrate Ollama into your applications:
+
+```sh
+curl http://localhost:11434/api/chat -d '{
+  "model": "gemma3",
+  "messages": [{ "role": "user", "content": "Hello!" }]
+}'
+```
+
+See the [API documentation](/api) for Python, JavaScript, and other integrations.

envconfig/config.go

@@ -1,6 +1,8 @@
 package envconfig
 
 import (
+	"encoding/json"
+	"errors"
 	"fmt"
 	"log/slog"
 	"math"
@@ -11,6 +13,7 @@ import (
 	"runtime"
 	"strconv"
 	"strings"
+	"sync"
 	"time"
 )
 
@@ -206,6 +209,8 @@ var (
 	UseAuth = Bool("OLLAMA_AUTH")
 	// Enable Vulkan backend
 	EnableVulkan = Bool("OLLAMA_VULKAN")
+	// NoCloudEnv checks the OLLAMA_NO_CLOUD environment variable.
+	NoCloudEnv = Bool("OLLAMA_NO_CLOUD")
 )
 
 func String(s string) func() string {
@@ -216,6 +221,7 @@ func String(s string) func() string {
 
 var (
 	LLMLibrary = String("OLLAMA_LLM_LIBRARY")
+	Editor     = String("OLLAMA_EDITOR")
 
 	CudaVisibleDevices    = String("CUDA_VISIBLE_DEVICES")
 	HipVisibleDevices     = String("HIP_VISIBLE_DEVICES")
@@ -284,6 +290,7 @@ func AsMap() map[string]EnvVar {
 		"OLLAMA_MAX_LOADED_MODELS": {"OLLAMA_MAX_LOADED_MODELS", MaxRunners(), "Maximum number of loaded models per GPU"},
 		"OLLAMA_MAX_QUEUE":         {"OLLAMA_MAX_QUEUE", MaxQueue(), "Maximum number of queued requests"},
 		"OLLAMA_MODELS":            {"OLLAMA_MODELS", Models(), "The path to the models directory"},
+		"OLLAMA_NO_CLOUD":          {"OLLAMA_NO_CLOUD", NoCloud(), "Disable Ollama cloud features (remote inference and web search)"},
 		"OLLAMA_NOHISTORY":         {"OLLAMA_NOHISTORY", NoHistory(), "Do not preserve readline history"},
 		"OLLAMA_NOPRUNE":           {"OLLAMA_NOPRUNE", NoPrune(), "Do not prune model blobs on startup"},
 		"OLLAMA_NUM_PARALLEL":      {"OLLAMA_NUM_PARALLEL", NumParallel(), "Maximum number of parallel requests"},
@@ -291,6 +298,7 @@ func AsMap() map[string]EnvVar {
 		"OLLAMA_SCHED_SPREAD":      {"OLLAMA_SCHED_SPREAD", SchedSpread(), "Always schedule model across all GPUs"},
 		"OLLAMA_MULTIUSER_CACHE":   {"OLLAMA_MULTIUSER_CACHE", MultiUserCache(), "Optimize prompt caching for multi-user scenarios"},
 		"OLLAMA_CONTEXT_LENGTH":    {"OLLAMA_CONTEXT_LENGTH", ContextLength(), "Context length to use unless otherwise specified (default: 4k/32k/256k based on VRAM)"},
+		"OLLAMA_EDITOR":            {"OLLAMA_EDITOR", Editor(), "Path to editor for interactive prompt editing (Ctrl+G)"},
 		"OLLAMA_NEW_ENGINE":        {"OLLAMA_NEW_ENGINE", NewEngine(), "Enable the new Ollama engine"},
 		"OLLAMA_REMOTES":           {"OLLAMA_REMOTES", Remotes(), "Allowed hosts for remote models (default \"ollama.com\")"},
 
@@ -332,3 +340,91 @@ func Values() map[string]string {
 func Var(key string) string {
 	return strings.Trim(strings.TrimSpace(os.Getenv(key)), "\"'")
 }
+
+// serverConfigData holds the parsed fields from ~/.ollama/server.json.
+type serverConfigData struct {
+	DisableOllamaCloud bool `json:"disable_ollama_cloud,omitempty"`
+}
+
+var (
+	serverCfgMu     sync.RWMutex
+	serverCfgLoaded bool
+	serverCfg       serverConfigData
+)
+
+func loadServerConfig() {
+	serverCfgMu.RLock()
+	if serverCfgLoaded {
+		serverCfgMu.RUnlock()
+		return
+	}
+	serverCfgMu.RUnlock()
+
+	cfg := serverConfigData{}
+	home, err := os.UserHomeDir()
+	if err == nil {
+		path := filepath.Join(home, ".ollama", "server.json")
+		data, err := os.ReadFile(path)
+		if err != nil {
+			if !errors.Is(err, os.ErrNotExist) {
+				slog.Debug("envconfig: could not read server config", "error", err)
+			}
+		} else if err := json.Unmarshal(data, &cfg); err != nil {
+			slog.Debug("envconfig: could not parse server config", "error", err)
+		}
+	}
+
+	serverCfgMu.Lock()
+	defer serverCfgMu.Unlock()
+	if serverCfgLoaded {
+		return
+	}
+	serverCfg = cfg
+	serverCfgLoaded = true
+}
+
+func cachedServerConfig() serverConfigData {
+	serverCfgMu.RLock()
+	defer serverCfgMu.RUnlock()
+	return serverCfg
+}
+
+// ReloadServerConfig refreshes the cached ~/.ollama/server.json settings.
+func ReloadServerConfig() {
+	serverCfgMu.Lock()
+	serverCfgLoaded = false
+	serverCfg = serverConfigData{}
+	serverCfgMu.Unlock()
+
+	loadServerConfig()
+}
+
+// NoCloud returns true if Ollama cloud features are disabled,
+// checking both the OLLAMA_NO_CLOUD environment variable and
+// the disable_ollama_cloud field in ~/.ollama/server.json.
+func NoCloud() bool {
+	if NoCloudEnv() {
+		return true
+	}
+	loadServerConfig()
+	return cachedServerConfig().DisableOllamaCloud
+}
+
+// NoCloudSource returns the source of the cloud-disabled decision.
+// Returns "none", "env", "config", or "both".
+func NoCloudSource() string {
+	envDisabled := NoCloudEnv()
+	loadServerConfig()
+	configDisabled := cachedServerConfig().DisableOllamaCloud
+
+	switch {
+	case envDisabled && configDisabled:
+		return "both"
+	case envDisabled:
+		return "env"
+	case configDisabled:
+		return "config"
+	default:
+		return "none"
+	}
+}

envconfig/config_test.go

@@ -3,6 +3,8 @@ package envconfig
 import (
 	"log/slog"
 	"math"
+	"os"
+	"path/filepath"
 	"testing"
 	"time"
 
@@ -326,3 +328,81 @@ func TestLogLevel(t *testing.T) {
 		})
 	}
 }
+
+func TestNoCloud(t *testing.T) {
+	tests := []struct {
+		name          string
+		envValue      string
+		configContent string
+		wantDisabled  bool
+		wantSource    string
+	}{
+		{
+			name:         "neither env nor config",
+			wantDisabled: false,
+			wantSource:   "none",
+		},
+		{
+			name:         "env only",
+			envValue:     "1",
+			wantDisabled: true,
+			wantSource:   "env",
+		},
+		{
+			name:          "config only",
+			configContent: `{"disable_ollama_cloud": true}`,
+			wantDisabled:  true,
+			wantSource:    "config",
+		},
+		{
+			name:          "both env and config",
+			envValue:      "1",
+			configContent: `{"disable_ollama_cloud": true}`,
+			wantDisabled:  true,
+			wantSource:    "both",
+		},
+		{
+			name:          "config false",
+			configContent: `{"disable_ollama_cloud": false}`,
+			wantDisabled:  false,
+			wantSource:    "none",
+		},
+		{
+			name:          "invalid config ignored",
+			configContent: `{invalid json`,
+			wantDisabled:  false,
+			wantSource:    "none",
+		},
+		{
+			name:         "no config file",
+			wantDisabled: false,
+			wantSource:   "none",
+		},
+	}
+
+	for _, tt := range tests {
+		t.Run(tt.name, func(t *testing.T) {
+			home := t.TempDir()
+			if tt.configContent != "" {
+				configDir := filepath.Join(home, ".ollama")
+				if err := os.MkdirAll(configDir, 0o755); err != nil {
+					t.Fatal(err)
+				}
+				if err := os.WriteFile(filepath.Join(configDir, "server.json"), []byte(tt.configContent), 0o644); err != nil {
+					t.Fatal(err)
+				}
+			}
+
+			setTestHome(t, home)
+			t.Setenv("OLLAMA_NO_CLOUD", tt.envValue)
+
+			if got := NoCloud(); got != tt.wantDisabled {
+				t.Errorf("NoCloud() = %v, want %v", got, tt.wantDisabled)
+			}
+
+			if got := NoCloudSource(); got != tt.wantSource {
+				t.Errorf("NoCloudSource() = %q, want %q", got, tt.wantSource)
+			}
+		})
+	}
+}

envconfig/test_home_test.go

@@ -0,0 +1,10 @@
+package envconfig
+
+import "testing"
+
+func setTestHome(t *testing.T, home string) {
+	t.Helper()
+	t.Setenv("HOME", home)
+	t.Setenv("USERPROFILE", home)
+	ReloadServerConfig()
+}

go.mod

@@ -13,7 +13,7 @@ require (
 	github.com/mattn/go-sqlite3 v1.14.24
 	github.com/olekukonko/tablewriter v0.0.5
 	github.com/spf13/cobra v1.7.0
-	github.com/stretchr/testify v1.9.0
+	github.com/stretchr/testify v1.10.0
 	github.com/x448/float16 v0.8.4
 	golang.org/x/sync v0.17.0
 	golang.org/x/sys v0.37.0
@@ -21,14 +21,18 @@ require (
 
 require (
 	github.com/agnivade/levenshtein v1.1.1
+	github.com/charmbracelet/bubbletea v1.3.10
+	github.com/charmbracelet/lipgloss v1.1.0
 	github.com/d4l3k/go-bfloat16 v0.0.0-20211005043715-690c3bdd05f1
 	github.com/dlclark/regexp2 v1.11.4
 	github.com/emirpasic/gods/v2 v2.0.0-alpha
-	github.com/mattn/go-runewidth v0.0.14
+	github.com/mattn/go-runewidth v0.0.16
 	github.com/nlpodyssey/gopickle v0.3.0
 	github.com/pdevine/tensor v0.0.0-20240510204454-f88f4562727c
 	github.com/pkg/browser v0.0.0-20240102092130-5ac0b6a4141c
 	github.com/tkrajina/typescriptify-golang-structs v0.2.0
+	github.com/tree-sitter/go-tree-sitter v0.25.0
+	github.com/tree-sitter/tree-sitter-cpp v0.23.4
 	github.com/wk8/go-ordered-map/v2 v2.1.8
 	golang.org/x/image v0.22.0
 	golang.org/x/mod v0.30.0
@@ -38,22 +42,35 @@ require (
 
 require (
 	github.com/apache/arrow/go/arrow v0.0.0-20211112161151-bc219186db40 // indirect
+	github.com/aymanbagabas/go-osc52/v2 v2.0.1 // indirect
 	github.com/bahlo/generic-list-go v0.2.0 // indirect
 	github.com/buger/jsonparser v1.1.1 // indirect
 	github.com/bytedance/sonic/loader v0.1.1 // indirect
+	github.com/charmbracelet/colorprofile v0.2.3-0.20250311203215-f60798e515dc // indirect
+	github.com/charmbracelet/x/ansi v0.10.1 // indirect
+	github.com/charmbracelet/x/cellbuf v0.0.13-0.20250311204145-2c3ea96c31dd // indirect
+	github.com/charmbracelet/x/term v0.2.1 // indirect
 	github.com/chewxy/hm v1.0.0 // indirect
 	github.com/chewxy/math32 v1.11.0 // indirect
 	github.com/cloudwego/base64x v0.1.4 // indirect
 	github.com/cloudwego/iasm v0.2.0 // indirect
 	github.com/davecgh/go-spew v1.1.1 // indirect
+	github.com/erikgeiser/coninput v0.0.0-20211004153227-1c3628e74d0f // indirect
 	github.com/gogo/protobuf v1.3.2 // indirect
 	github.com/google/flatbuffers v24.3.25+incompatible // indirect
 	github.com/kr/text v0.2.0 // indirect
+	github.com/lucasb-eyer/go-colorful v1.2.0 // indirect
 	github.com/mailru/easyjson v0.7.7 // indirect
+	github.com/mattn/go-localereader v0.0.1 // indirect
+	github.com/mattn/go-pointer v0.0.1 // indirect
+	github.com/muesli/ansi v0.0.0-20230316100256-276c6243b2f6 // indirect
+	github.com/muesli/cancelreader v0.2.2 // indirect
+	github.com/muesli/termenv v0.16.0 // indirect
 	github.com/pkg/errors v0.9.1 // indirect
 	github.com/pmezard/go-difflib v1.0.0 // indirect
-	github.com/rivo/uniseg v0.2.0 // indirect
+	github.com/rivo/uniseg v0.4.7 // indirect
 	github.com/tkrajina/go-reflector v0.5.5 // indirect
+	github.com/xo/terminfo v0.0.0-20220910002029-abceb7e1c41e // indirect
 	github.com/xtgo/set v1.0.0 // indirect
 	go4.org/unsafe/assume-no-moving-gc v0.0.0-20231121144256-b99613f794b6 // indirect
 	golang.org/x/xerrors v0.0.0-20200804184101-5ec99f83aff1 // indirect

go.sum

@@ -14,6 +14,8 @@ github.com/apache/arrow/go/arrow v0.0.0-20211112161151-bc219186db40 h1:q4dksr6IC
 github.com/apache/arrow/go/arrow v0.0.0-20211112161151-bc219186db40/go.mod h1:Q7yQnSMnLvcXlZ8RV+jwz/6y1rQTqbX6C82SndT52Zs=
 github.com/arbovm/levenshtein v0.0.0-20160628152529-48b4e1c0c4d0 h1:jfIu9sQUG6Ig+0+Ap1h4unLjW6YQJpKZVmUzxsD4E/Q=
 github.com/arbovm/levenshtein v0.0.0-20160628152529-48b4e1c0c4d0/go.mod h1:t2tdKJDJF9BV14lnkjHmOQgcvEKgtqs5a1N3LNdJhGE=
+github.com/aymanbagabas/go-osc52/v2 v2.0.1 h1:HwpRHbFMcZLEVr42D4p7XBqjyuxQH5SMiErDT4WkJ2k=
+github.com/aymanbagabas/go-osc52/v2 v2.0.1/go.mod h1:uYgXzlJ7ZpABp8OJ+exZzJJhRNQ2ASbcXHWsFqH8hp8=
 github.com/bahlo/generic-list-go v0.2.0 h1:5sz/EEAK+ls5wF+NeqDpk5+iNdMDXrh3z3nPnH1Wvgk=
 github.com/bahlo/generic-list-go v0.2.0/go.mod h1:2KvAjgMlE5NNynlg/5iLrrCCZ2+5xWbdbCW3pNTGyYg=
 github.com/boombuler/barcode v1.0.0/go.mod h1:paBWMcWSl3LHKBqUq+rly7CNSldXjb2rDl3JlRe0mD8=
@@ -24,6 +26,18 @@ github.com/bytedance/sonic v1.11.6/go.mod h1:LysEHSvpvDySVdC2f87zGWf6CIKJcAvqab1
 github.com/bytedance/sonic/loader v0.1.1 h1:c+e5Pt1k/cy5wMveRDyk2X4B9hF4g7an8N3zCYjJFNM=
 github.com/bytedance/sonic/loader v0.1.1/go.mod h1:ncP89zfokxS5LZrJxl5z0UJcsk4M4yY2JpfqGeCtNLU=
 github.com/census-instrumentation/opencensus-proto v0.2.1/go.mod h1:f6KPmirojxKA12rnyqOA5BBL4O983OfeGPqjHWSTneU=
+github.com/charmbracelet/bubbletea v1.3.10 h1:otUDHWMMzQSB0Pkc87rm691KZ3SWa4KUlvF9nRvCICw=
+github.com/charmbracelet/bubbletea v1.3.10/go.mod h1:ORQfo0fk8U+po9VaNvnV95UPWA1BitP1E0N6xJPlHr4=
+github.com/charmbracelet/colorprofile v0.2.3-0.20250311203215-f60798e515dc h1:4pZI35227imm7yK2bGPcfpFEmuY1gc2YSTShr4iJBfs=
+github.com/charmbracelet/colorprofile v0.2.3-0.20250311203215-f60798e515dc/go.mod h1:X4/0JoqgTIPSFcRA/P6INZzIuyqdFY5rm8tb41s9okk=
+github.com/charmbracelet/lipgloss v1.1.0 h1:vYXsiLHVkK7fp74RkV7b2kq9+zDLoEU4MZoFqR/noCY=
+github.com/charmbracelet/lipgloss v1.1.0/go.mod h1:/6Q8FR2o+kj8rz4Dq0zQc3vYf7X+B0binUUBwA0aL30=
+github.com/charmbracelet/x/ansi v0.10.1 h1:rL3Koar5XvX0pHGfovN03f5cxLbCF2YvLeyz7D2jVDQ=
+github.com/charmbracelet/x/ansi v0.10.1/go.mod h1:3RQDQ6lDnROptfpWuUVIUG64bD2g2BgntdxH0Ya5TeE=
+github.com/charmbracelet/x/cellbuf v0.0.13-0.20250311204145-2c3ea96c31dd h1:vy0GVL4jeHEwG5YOXDmi86oYw2yuYUGqz6a8sLwg0X8=
+github.com/charmbracelet/x/cellbuf v0.0.13-0.20250311204145-2c3ea96c31dd/go.mod h1:xe0nKWGd3eJgtqZRaN9RjMtK7xUYchjzPr7q6kcvCCs=
+github.com/charmbracelet/x/term v0.2.1 h1:AQeHeLZ1OqSXhrAWpYUtZyX1T3zVxfpZuEQMIQaGIAQ=
+github.com/charmbracelet/x/term v0.2.1/go.mod h1:oQ4enTYFV7QN4m0i9mzHrViD7TQKvNEEkHUMCmsxdUg=
 github.com/chewxy/hm v1.0.0 h1:zy/TSv3LV2nD3dwUEQL2VhXeoXbb9QkpmdRAVUFiA6k=
 github.com/chewxy/hm v1.0.0/go.mod h1:qg9YI4q6Fkj/whwHR1D+bOGeF7SniIP40VweVepLjg0=
 github.com/chewxy/math32 v1.0.0/go.mod h1:Miac6hA1ohdDUTagnvJy/q+aNnEk16qWUdb8ZVhvCN0=
@@ -59,6 +73,8 @@ github.com/envoyproxy/go-control-plane v0.9.9-0.20201210154907-fd9021fe5dad/go.m
 github.com/envoyproxy/go-control-plane v0.9.9-0.20210217033140-668b12f5399d/go.mod h1:cXg6YxExXjJnVBQHBLXeUAgxn2UodCpnH306RInaBQk=
 github.com/envoyproxy/go-control-plane v0.9.9-0.20210512163311-63b5d3c536b0/go.mod h1:hliV/p42l8fGbc6Y9bQ70uLwIvmJyVE5k4iMKlh8wCQ=
 github.com/envoyproxy/protoc-gen-validate v0.1.0/go.mod h1:iSmxcyjqTsJpI2R4NaDN7+kN2VEUnK/pcBlmesArF7c=
+github.com/erikgeiser/coninput v0.0.0-20211004153227-1c3628e74d0f h1:Y/CXytFA4m6baUTXGLOoWe4PQhGxaX0KpnayAqC48p4=
+github.com/erikgeiser/coninput v0.0.0-20211004153227-1c3628e74d0f/go.mod h1:vw97MGsxSvLiUE2X8qFplwetxpGLQrlU1Q9AUEIzCaM=
 github.com/fogleman/gg v1.2.1-0.20190220221249-0403632d5b90/go.mod h1:R/bRT+9gY/C5z7JzPU0zXsXHKM4/ayA+zqcVNZzPa1k=
 github.com/fogleman/gg v1.3.0/go.mod h1:R/bRT+9gY/C5z7JzPU0zXsXHKM4/ayA+zqcVNZzPa1k=
 github.com/gabriel-vasile/mimetype v1.4.3 h1:in2uUcidCuFcDKtdcBxlR0rJ1+fsokWf+uqxgUFjbI0=
@@ -148,13 +164,19 @@ github.com/ledongthuc/pdf v0.0.0-20250511090121-5959a4027728 h1:QwWKgMY28TAXaDl+
 github.com/ledongthuc/pdf v0.0.0-20250511090121-5959a4027728/go.mod h1:1fEHWurg7pvf5SG6XNE5Q8UZmOwex51Mkx3SLhrW5B4=
 github.com/leodido/go-urn v1.4.0 h1:WT9HwE9SGECu3lg4d/dIA+jxlljEa1/ffXKmRjqdmIQ=
 github.com/leodido/go-urn v1.4.0/go.mod h1:bvxc+MVxLKB4z00jd1z+Dvzr47oO32F/QSNjSBOlFxI=
+github.com/lucasb-eyer/go-colorful v1.2.0 h1:1nnpGOrhyZZuNyfu1QjKiUICQ74+3FNCN69Aj6K7nkY=
+github.com/lucasb-eyer/go-colorful v1.2.0/go.mod h1:R4dSotOR9KMtayYi1e77YzuveK+i7ruzyGqttikkLy0=
 github.com/mailru/easyjson v0.7.7 h1:UGYAvKxe3sBsEDzO8ZeWOSlIQfWFlxbzLZe7hwFURr0=
 github.com/mailru/easyjson v0.7.7/go.mod h1:xzfreul335JAWq5oZzymOObrkdz5UnU4kGfJJLY9Nlc=
 github.com/mattn/go-isatty v0.0.20 h1:xfD0iDuEKnDkl03q4limB+vH+GxLEtL/jb4xVJSWWEY=
 github.com/mattn/go-isatty v0.0.20/go.mod h1:W+V8PltTTMOvKvAeJH7IuucS94S2C6jfK/D7dTCTo3Y=
+github.com/mattn/go-localereader v0.0.1 h1:ygSAOl7ZXTx4RdPYinUpg6W99U8jWvWi9Ye2JC/oIi4=
+github.com/mattn/go-localereader v0.0.1/go.mod h1:8fBrzywKY7BI3czFoHkuzRoWE9C+EiG4R1k4Cjx5p88=
+github.com/mattn/go-pointer v0.0.1 h1:n+XhsuGeVO6MEAp7xyEukFINEa+Quek5psIR/ylA6o0=
+github.com/mattn/go-pointer v0.0.1/go.mod h1:2zXcozF6qYGgmsG+SeTZz3oAbFLdD3OWqnUbNvJZAlc=
 github.com/mattn/go-runewidth v0.0.9/go.mod h1:H031xJmbD/WCDINGzjvQ9THkh0rPKHF+m2gUSrubnMI=
-github.com/mattn/go-runewidth v0.0.14 h1:+xnbZSEeDbOIg5/mE6JF0w6n9duR1l3/WmbinWVwUuU=
-github.com/mattn/go-runewidth v0.0.14/go.mod h1:Jdepj2loyihRzMpdS35Xk/zdY8IAYHsh153qUoGf23w=
+github.com/mattn/go-runewidth v0.0.16 h1:E5ScNMtiwvlvB5paMFdw9p4kSQzbXFikJ5SQO6TULQc=
+github.com/mattn/go-runewidth v0.0.16/go.mod h1:Jdepj2loyihRzMpdS35Xk/zdY8IAYHsh153qUoGf23w=
 github.com/mattn/go-sqlite3 v1.14.24 h1:tpSp2G2KyMnnQu99ngJ47EIkWVmliIizyZBfPrBWDRM=
 github.com/mattn/go-sqlite3 v1.14.24/go.mod h1:Uh1q+B4BYcTPb+yiD3kU8Ct7aC0hY9fxUwlHK0RXw+Y=
 github.com/modern-go/concurrent v0.0.0-20180228061459-e0a39a4cb421/go.mod h1:6dJC0mAP4ikYIbvyc7fijjWJddQyLn8Ig3JB5CqoB9Q=
@@ -162,6 +184,12 @@ github.com/modern-go/concurrent v0.0.0-20180306012644-bacd9c7ef1dd h1:TRLaZ9cD/w
 github.com/modern-go/concurrent v0.0.0-20180306012644-bacd9c7ef1dd/go.mod h1:6dJC0mAP4ikYIbvyc7fijjWJddQyLn8Ig3JB5CqoB9Q=
 github.com/modern-go/reflect2 v1.0.2 h1:xBagoLtFs94CBntxluKeaWgTMpvLxC4ur3nMaC9Gz0M=
 github.com/modern-go/reflect2 v1.0.2/go.mod h1:yWuevngMOJpCy52FWWMvUC8ws7m/LJsjYzDa0/r8luk=
+github.com/muesli/ansi v0.0.0-20230316100256-276c6243b2f6 h1:ZK8zHtRHOkbHy6Mmr5D264iyp3TiX5OmNcI5cIARiQI=
+github.com/muesli/ansi v0.0.0-20230316100256-276c6243b2f6/go.mod h1:CJlz5H+gyd6CUWT45Oy4q24RdLyn7Md9Vj2/ldJBSIo=
+github.com/muesli/cancelreader v0.2.2 h1:3I4Kt4BQjOR54NavqnDogx/MIoWBFa0StPA8ELUXHmA=
+github.com/muesli/cancelreader v0.2.2/go.mod h1:3XuTXfFS2VjM+HTLZY9Ak0l6eUKfijIfMUZ4EgX0QYo=
+github.com/muesli/termenv v0.16.0 h1:S5AlUN9dENB57rsbnkPyfdGuWIlkmzJjbFf0Tf5FWUc=
+github.com/muesli/termenv v0.16.0/go.mod h1:ZRfOIKPFDYQoDFF4Olj7/QJbW60Ol/kL1pU3VfY/Cnk=
 github.com/nlpodyssey/gopickle v0.3.0 h1:BLUE5gxFLyyNOPzlXxt6GoHEMMxD0qhsE4p0CIQyoLw=
 github.com/nlpodyssey/gopickle v0.3.0/go.mod h1:f070HJ/yR+eLi5WmM1OXJEGaTpuJEUiib19olXgYha0=
 github.com/olekukonko/tablewriter v0.0.5 h1:P2Ga83D34wi1o9J6Wh1mRuqd4mF/x/lgBS7N7AbDhec=
@@ -182,8 +210,9 @@ github.com/pkg/errors v0.9.1/go.mod h1:bwawxfHBFNV+L2hUp1rHADufV3IMtnDRdf1r5NINE
 github.com/pmezard/go-difflib v1.0.0 h1:4DBwDE0NGyQoBHbLQYPwSUPoCMWR5BEzIk/f1lZbAQM=
 github.com/pmezard/go-difflib v1.0.0/go.mod h1:iKH77koFhYxTK1pcRnkKkqfTogsbg7gZNVY4sRDYZ/4=
 github.com/prometheus/client_model v0.0.0-20190812154241-14fe0d1b01d4/go.mod h1:xMI15A0UPsDsEKsMN9yxemIoYk6Tm2C1GtYGdfGttqA=
-github.com/rivo/uniseg v0.2.0 h1:S1pD9weZBuJdFmowNwbpi7BJ8TNftyUImj/0WQi72jY=
 github.com/rivo/uniseg v0.2.0/go.mod h1:J6wj4VEh+S6ZtnVlnTBMWIodfgj8LQOQFoIToxlJtxc=
+github.com/rivo/uniseg v0.4.7 h1:WUdvkW8uEhrYfLC4ZzdpI2ztxP1I582+49Oc5Mq64VQ=
+github.com/rivo/uniseg v0.4.7/go.mod h1:FN3SvrM+Zdj16jyLfmOkMNblXMcoc8DfTHruCPUcx88=
 github.com/rogpeppe/fastuuid v1.2.0/go.mod h1:jVj6XXZzXRy/MSR5jhDC/2q6DgLz+nrA6LYCDYWNEvQ=
 github.com/rogpeppe/go-internal v1.8.0 h1:FCbCCtXNOY3UtUuHUYaghJg4y7Fd14rXifAYUAtL9R8=
 github.com/rogpeppe/go-internal v1.8.0/go.mod h1:WmiCO8CzOY8rg0OYDC4/i/2WRWAB6poM+XZ2dLUbcbE=
@@ -206,12 +235,39 @@ github.com/stretchr/testify v1.7.1/go.mod h1:6Fq8oRcR53rry900zMqJjRRixrwX3KX962/
 github.com/stretchr/testify v1.8.0/go.mod h1:yNjHg4UonilssWZ8iaSj1OCr/vHnekPRkoO+kdMU+MU=
 github.com/stretchr/testify v1.8.1/go.mod h1:w2LPCIKwWwSfY2zedu0+kehJoqGctiVI29o6fzry7u4=
 github.com/stretchr/testify v1.8.4/go.mod h1:sz/lmYIOXD/1dqDmKjjqLyZ2RngseejIcXlSw2iwfAo=
-github.com/stretchr/testify v1.9.0 h1:HtqpIVDClZ4nwg75+f6Lvsy/wHu+3BoSGCbBAcpTsTg=
 github.com/stretchr/testify v1.9.0/go.mod h1:r2ic/lqez/lEtzL7wO/rwa5dbSLXVDPFyf8C91i36aY=
+github.com/stretchr/testify v1.10.0 h1:Xv5erBjTwe/5IxqUQTdXv5kgmIvbHo3QQyRwhJsOfJA=
+github.com/stretchr/testify v1.10.0/go.mod h1:r2ic/lqez/lEtzL7wO/rwa5dbSLXVDPFyf8C91i36aY=
 github.com/tkrajina/go-reflector v0.5.5 h1:gwoQFNye30Kk7NrExj8zm3zFtrGPqOkzFMLuQZg1DtQ=
 github.com/tkrajina/go-reflector v0.5.5/go.mod h1:ECbqLgccecY5kPmPmXg1MrHW585yMcDkVl6IvJe64T4=
 github.com/tkrajina/typescriptify-golang-structs v0.2.0 h1:ZedWk82egydDspGTryAatbX0/1NZDQbdiZLoCbOk4f8=
 github.com/tkrajina/typescriptify-golang-structs v0.2.0/go.mod h1:sjU00nti/PMEOZb07KljFlR+lJ+RotsC0GBQMv9EKls=
+github.com/tree-sitter/go-tree-sitter v0.25.0 h1:sx6kcg8raRFCvc9BnXglke6axya12krCJF5xJ2sftRU=
+github.com/tree-sitter/go-tree-sitter v0.25.0/go.mod h1:r77ig7BikoZhHrrsjAnv8RqGti5rtSyvDHPzgTPsUuU=
+github.com/tree-sitter/tree-sitter-c v0.23.4 h1:nBPH3FV07DzAD7p0GfNvXM+Y7pNIoPenQWBpvM++t4c=
+github.com/tree-sitter/tree-sitter-c v0.23.4/go.mod h1:MkI5dOiIpeN94LNjeCp8ljXN/953JCwAby4bClMr6bw=
+github.com/tree-sitter/tree-sitter-cpp v0.23.4 h1:LaWZsiqQKvR65yHgKmnaqA+uz6tlDJTJFCyFIeZU/8w=
+github.com/tree-sitter/tree-sitter-cpp v0.23.4/go.mod h1:doqNW64BriC7WBCQ1klf0KmJpdEvfxyXtoEybnBo6v8=
+github.com/tree-sitter/tree-sitter-embedded-template v0.23.2 h1:nFkkH6Sbe56EXLmZBqHHcamTpmz3TId97I16EnGy4rg=
+github.com/tree-sitter/tree-sitter-embedded-template v0.23.2/go.mod h1:HNPOhN0qF3hWluYLdxWs5WbzP/iE4aaRVPMsdxuzIaQ=
+github.com/tree-sitter/tree-sitter-go v0.23.4 h1:yt5KMGnTHS+86pJmLIAZMWxukr8W7Ae1STPvQUuNROA=
+github.com/tree-sitter/tree-sitter-go v0.23.4/go.mod h1:Jrx8QqYN0v7npv1fJRH1AznddllYiCMUChtVjxPK040=
+github.com/tree-sitter/tree-sitter-html v0.23.2 h1:1UYDV+Yd05GGRhVnTcbP58GkKLSHHZwVaN+lBZV11Lc=
+github.com/tree-sitter/tree-sitter-html v0.23.2/go.mod h1:gpUv/dG3Xl/eebqgeYeFMt+JLOY9cgFinb/Nw08a9og=
+github.com/tree-sitter/tree-sitter-java v0.23.5 h1:J9YeMGMwXYlKSP3K4Us8CitC6hjtMjqpeOf2GGo6tig=
+github.com/tree-sitter/tree-sitter-java v0.23.5/go.mod h1:NRKlI8+EznxA7t1Yt3xtraPk1Wzqh3GAIC46wxvc320=
+github.com/tree-sitter/tree-sitter-javascript v0.23.1 h1:1fWupaRC0ArlHJ/QJzsfQ3Ibyopw7ZfQK4xXc40Zveo=
+github.com/tree-sitter/tree-sitter-javascript v0.23.1/go.mod h1:lmGD1EJdCA+v0S1u2fFgepMg/opzSg/4pgFym2FPGAs=
+github.com/tree-sitter/tree-sitter-json v0.24.8 h1:tV5rMkihgtiOe14a9LHfDY5kzTl5GNUYe6carZBn0fQ=
+github.com/tree-sitter/tree-sitter-json v0.24.8/go.mod h1:F351KK0KGvCaYbZ5zxwx/gWWvZhIDl0eMtn+1r+gQbo=
+github.com/tree-sitter/tree-sitter-php v0.23.11 h1:iHewsLNDmznh8kgGyfWfujsZxIz1YGbSd2ZTEM0ZiP8=
+github.com/tree-sitter/tree-sitter-php v0.23.11/go.mod h1:T/kbfi+UcCywQfUNAJnGTN/fMSUjnwPXA8k4yoIks74=
+github.com/tree-sitter/tree-sitter-python v0.23.6 h1:qHnWFR5WhtMQpxBZRwiaU5Hk/29vGju6CVtmvu5Haas=
+github.com/tree-sitter/tree-sitter-python v0.23.6/go.mod h1:cpdthSy/Yoa28aJFBscFHlGiU+cnSiSh1kuDVtI8YeM=
+github.com/tree-sitter/tree-sitter-ruby v0.23.1 h1:T/NKHUA+iVbHM440hFx+lzVOzS4dV6z8Qw8ai+72bYo=
+github.com/tree-sitter/tree-sitter-ruby v0.23.1/go.mod h1:kUS4kCCQloFcdX6sdpr8p6r2rogbM6ZjTox5ZOQy8cA=
+github.com/tree-sitter/tree-sitter-rust v0.23.2 h1:6AtoooCW5GqNrRpfnvl0iUhxTAZEovEmLKDbyHlfw90=
+github.com/tree-sitter/tree-sitter-rust v0.23.2/go.mod h1:hfeGWic9BAfgTrc7Xf6FaOAguCFJRo3RBbs7QJ6D7MI=
 github.com/twitchyliquid64/golang-asm v0.15.1 h1:SU5vSMR7hnwNxj24w34ZyCi/FmDZTkS4MhqMhdFk5YI=
 github.com/twitchyliquid64/golang-asm v0.15.1/go.mod h1:a1lVb/DtPvCB8fslRZhAngC2+aY1QWCk3Cedj/Gdt08=
 github.com/ugorji/go/codec v1.2.12 h1:9LC83zGrHhuUA9l16C9AHXAqEV/2wBQ4nkvumAE65EE=
@@ -220,6 +276,8 @@ github.com/wk8/go-ordered-map/v2 v2.1.8 h1:5h/BUHu93oj4gIdvHHHGsScSTMijfx5PeYkE/
 github.com/wk8/go-ordered-map/v2 v2.1.8/go.mod h1:5nJHM5DyteebpVlHnWMV0rPz6Zp7+xBAnxjb1X5vnTw=
 github.com/x448/float16 v0.8.4 h1:qLwI1I70+NjRFUR3zs1JPUCgaCXSh3SW62uAKT1mSBM=
 github.com/x448/float16 v0.8.4/go.mod h1:14CWIYCyZA/cWjXOioeEpHeN/83MdbZDRQHoFcYsOfg=
+github.com/xo/terminfo v0.0.0-20220910002029-abceb7e1c41e h1:JVG44RsyaB9T2KIHavMF/ppJZNG9ZpyihvCd0w101no=
+github.com/xo/terminfo v0.0.0-20220910002029-abceb7e1c41e/go.mod h1:RbqR21r5mrJuqunuUZ/Dhy/avygyECGrLceyNeo4LiM=
 github.com/xtgo/set v1.0.0 h1:6BCNBRv3ORNDQ7fyoJXRv+tstJz3m1JVFQErfeZz2pY=
 github.com/xtgo/set v1.0.0/go.mod h1:d3NHzGzSa0NmB2NhFyECA+QdRp29oEn2xbT+TpeFoM8=
 github.com/yuin/goldmark v1.1.27/go.mod h1:3hX8gzYuyVAZsxl0MRgGTJEmQBFcNTphYh9decYSb74=
@@ -306,6 +364,7 @@ golang.org/x/sys v0.0.0-20210330210617-4fbd30eecc44/go.mod h1:h1NjWce9XRLGQEsW7w
 golang.org/x/sys v0.0.0-20210423082822-04245dca01da/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
 golang.org/x/sys v0.0.0-20210510120138-977fb7262007/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
 golang.org/x/sys v0.0.0-20210630005230-0f9fa26af87c/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
+golang.org/x/sys v0.0.0-20210809222454-d867a43fc93e/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
 golang.org/x/sys v0.1.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
 golang.org/x/sys v0.5.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
 golang.org/x/sys v0.6.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=

internal/cloud/policy.go

@@ -0,0 +1,25 @@
+package cloud
+
+import (
+	"github.com/ollama/ollama/envconfig"
+)
+
+const DisabledMessagePrefix = "ollama cloud is disabled"
+
+// Status returns whether cloud is disabled and the source of the decision.
+// Source is one of: "none", "env", "config", "both".
+func Status() (disabled bool, source string) {
+	return envconfig.NoCloud(), envconfig.NoCloudSource()
+}
+
+func Disabled() bool {
+	return envconfig.NoCloud()
+}
+
+func DisabledError(operation string) string {
+	if operation == "" {
+		return DisabledMessagePrefix
+	}
+
+	return DisabledMessagePrefix + ": " + operation
+}

internal/cloud/policy_test.go

@@ -0,0 +1,85 @@
+package cloud
+
+import (
+	"os"
+	"path/filepath"
+	"testing"
+)
+
+func TestStatus(t *testing.T) {
+	tests := []struct {
+		name          string
+		envValue      string
+		configContent string
+		disabled      bool
+		source        string
+	}{
+		{
+			name:     "none",
+			disabled: false,
+			source:   "none",
+		},
+		{
+			name:     "env only",
+			envValue: "1",
+			disabled: true,
+			source:   "env",
+		},
+		{
+			name:          "config only",
+			configContent: `{"disable_ollama_cloud": true}`,
+			disabled:      true,
+			source:        "config",
+		},
+		{
+			name:          "both",
+			envValue:      "1",
+			configContent: `{"disable_ollama_cloud": true}`,
+			disabled:      true,
+			source:        "both",
+		},
+		{
+			name:          "invalid config ignored",
+			configContent: `{invalid json`,
+			disabled:      false,
+			source:        "none",
+		},
+	}
+
+	for _, tt := range tests {
+		t.Run(tt.name, func(t *testing.T) {
+			home := t.TempDir()
+			if tt.configContent != "" {
+				configPath := filepath.Join(home, ".ollama", "server.json")
+				if err := os.MkdirAll(filepath.Dir(configPath), 0o755); err != nil {
+					t.Fatal(err)
+				}
+				if err := os.WriteFile(configPath, []byte(tt.configContent), 0o644); err != nil {
+					t.Fatal(err)
+				}
+			}
+
+			setTestHome(t, home)
+			t.Setenv("OLLAMA_NO_CLOUD", tt.envValue)
+
+			disabled, source := Status()
+			if disabled != tt.disabled {
+				t.Fatalf("disabled: expected %v, got %v", tt.disabled, disabled)
+			}
+			if source != tt.source {
+				t.Fatalf("source: expected %q, got %q", tt.source, source)
+			}
+		})
+	}
+}
+
+func TestDisabledError(t *testing.T) {
+	if got := DisabledError(""); got != DisabledMessagePrefix {
+		t.Fatalf("expected %q, got %q", DisabledMessagePrefix, got)
+	}
+
+	want := DisabledMessagePrefix + ": remote inference is unavailable"
+	if got := DisabledError("remote inference is unavailable"); got != want {
+		t.Fatalf("expected %q, got %q", want, got)
+	}
+}

internal/cloud/test_home_test.go

@@ -0,0 +1,14 @@
+package cloud
+
+import (
+	"testing"
+
+	"github.com/ollama/ollama/envconfig"
+)
+
+func setTestHome(t *testing.T, home string) {
+	t.Helper()
+	t.Setenv("HOME", home)
+	t.Setenv("USERPROFILE", home)
+	envconfig.ReloadServerConfig()
+}

middleware/anthropic.go

@@ -2,15 +2,22 @@ package middleware
 
 import (
 	"bytes"
+	"context"
 	"encoding/json"
 	"fmt"
 	"io"
+	"log/slog"
 	"net/http"
+	"strings"
+	"time"
 
 	"github.com/gin-gonic/gin"
 
 	"github.com/ollama/ollama/anthropic"
 	"github.com/ollama/ollama/api"
+	"github.com/ollama/ollama/envconfig"
+	internalcloud "github.com/ollama/ollama/internal/cloud"
+	"github.com/ollama/ollama/logutil"
 )
 
 // AnthropicWriter wraps the response writer to transform Ollama responses to Anthropic format
@@ -18,7 +25,6 @@ type AnthropicWriter struct {
 	BaseWriter
 	stream    bool
 	id        string
-	model     string
 	converter *anthropic.StreamConverter
 }
 
@@ -31,7 +37,7 @@ func (w *AnthropicWriter) writeError(data []byte) (int, error) {
 	}
 
 	w.ResponseWriter.Header().Set("Content-Type", "application/json")
-	err := json.NewEncoder(w.ResponseWriter).Encode(anthropic.NewError(w.ResponseWriter.Status(), errData.Error))
+	err := json.NewEncoder(w.ResponseWriter).Encode(anthropic.NewError(w.Status(), errData.Error))
 	if err != nil {
 		return 0, err
 	}
@@ -40,18 +46,7 @@ func (w *AnthropicWriter) writeError(data []byte) (int, error) {
 }
 
 func (w *AnthropicWriter) writeEvent(eventType string, data any) error {
-	d, err := json.Marshal(data)
-	if err != nil {
-		return err
-	}
-	_, err = w.ResponseWriter.Write([]byte(fmt.Sprintf("event: %s\ndata: %s\n\n", eventType, d)))
-	if err != nil {
-		return err
-	}
-	if f, ok := w.ResponseWriter.(http.Flusher); ok {
-		f.Flush()
-	}
-	return nil
+	return writeSSE(w.ResponseWriter, eventType, data)
 }
 
 func (w *AnthropicWriter) writeResponse(data []byte) (int, error) {
@@ -65,6 +60,7 @@ func (w *AnthropicWriter) writeResponse(data []byte) (int, error) {
 		w.ResponseWriter.Header().Set("Content-Type", "text/event-stream")
 
 		events := w.converter.Process(chatResponse)
+		logutil.Trace("anthropic middleware: stream chunk", "resp", anthropic.TraceChatResponse(chatResponse), "events", len(events))
 		for _, event := range events {
 			if err := w.writeEvent(event.Event, event.Data); err != nil {
 				return 0, err
@@ -75,6 +71,7 @@ func (w *AnthropicWriter) writeResponse(data []byte) (int, error) {
 
 	w.ResponseWriter.Header().Set("Content-Type", "application/json")
 	response := anthropic.ToMessagesResponse(w.id, chatResponse)
+	logutil.Trace("anthropic middleware: converted response", "resp", anthropic.TraceMessagesResponse(response))
 	return len(data), json.NewEncoder(w.ResponseWriter).Encode(response)
 }
 
@@ -87,9 +84,743 @@ func (w *AnthropicWriter) Write(data []byte) (int, error) {
 	return w.writeResponse(data)
 }
 
+// WebSearchAnthropicWriter intercepts responses containing web_search tool calls,
+// executes the search, re-invokes the model with results, and assembles the
+// Anthropic-format response (server_tool_use + web_search_tool_result + text).
+type WebSearchAnthropicWriter struct {
+	BaseWriter
+	newLoopContext func() (context.Context, context.CancelFunc)
+	inner          *AnthropicWriter
+	req            anthropic.MessagesRequest // original Anthropic request
+	chatReq        *api.ChatRequest          // converted Ollama request (for followup calls)
+	stream         bool
+
+	estimatedInputTokens int
+
+	terminalSent bool
+
+	observedPromptEvalCount int
+	observedEvalCount       int
+
+	loopInFlight      bool
+	loopBaseInputTok  int
+	loopBaseOutputTok int
+	loopResultCh      chan webSearchLoopResult
+
+	streamMessageStarted bool
+	streamHasOpenBlock   bool
+	streamOpenBlockIndex int
+	streamNextIndex      int
+}
+
+const maxWebSearchLoops = 3
+
+type webSearchLoopResult struct {
+	response anthropic.MessagesResponse
+	loopErr  *webSearchLoopError
+}
+
+type webSearchLoopError struct {
+	code  string
+	query string
+	usage anthropic.Usage
+	err   error
+}
+
+func (e *webSearchLoopError) Error() string {
+	if e.err == nil {
+		return e.code
+	}
+	return fmt.Sprintf("%s: %v", e.code, e.err)
+}
+
+func (w *WebSearchAnthropicWriter) Write(data []byte) (int, error) {
+	if w.terminalSent {
+		return len(data), nil
+	}
+
+	code := w.Status()
+	if code != http.StatusOK {
+		return w.inner.writeError(data)
+	}
+
+	var chatResponse api.ChatResponse
+	if err := json.Unmarshal(data, &chatResponse); err != nil {
+		return 0, err
+	}
+	w.recordObservedUsage(chatResponse.Metrics)
+
+	if w.stream && w.loopInFlight {
+		if !chatResponse.Done {
+			return len(data), nil
+		}
+		if err := w.writeLoopResult(); err != nil {
+			return len(data), err
+		}
+		return len(data), nil
+	}
+
+	webSearchCall, hasWebSearch, hasOtherTools := findWebSearchToolCall(chatResponse.Message.ToolCalls)
+	logutil.Trace("anthropic middleware: upstream chunk",
+		"resp", anthropic.TraceChatResponse(chatResponse),
+		"web_search", hasWebSearch,
+		"other_tools", hasOtherTools,
+	)
+	if hasWebSearch && hasOtherTools {
+		// Prefer web_search if both server and client tools are present in one chunk.
+		slog.Debug("preferring web_search tool call over client tool calls in mixed tool response")
+	}
+
+	if !hasWebSearch {
+		if w.stream {
+			if err := w.writePassthroughStreamChunk(chatResponse); err != nil {
+				return 0, err
+			}
+			return len(data), nil
+		}
+		return w.inner.writeResponse(data)
+	}
+
+	if w.stream {
+		// Let the original generation continue to completion while web search runs in parallel.
+		logutil.Trace("anthropic middleware: starting async web_search loop",
+			"tool_call", anthropic.TraceToolCall(webSearchCall),
+			"resp", anthropic.TraceChatResponse(chatResponse),
+		)
+		w.startLoopWorker(chatResponse, webSearchCall)
+		if chatResponse.Done {
+			if err := w.writeLoopResult(); err != nil {
+				return len(data), err
+			}
+		}
+		return len(data), nil
+	}
+
+	loopCtx, cancel := w.startLoopContext()
+	defer cancel()
+
+	initialUsage := anthropic.Usage{
+		InputTokens:  max(w.observedPromptEvalCount, chatResponse.Metrics.PromptEvalCount),
+		OutputTokens: max(w.observedEvalCount, chatResponse.Metrics.EvalCount),
+	}
+	logutil.Trace("anthropic middleware: starting sync web_search loop",
+		"tool_call", anthropic.TraceToolCall(webSearchCall),
+		"resp", anthropic.TraceChatResponse(chatResponse),
+		"usage", initialUsage,
+	)
+	response, loopErr := w.runWebSearchLoop(loopCtx, chatResponse, webSearchCall, initialUsage)
+	if loopErr != nil {
+		return len(data), w.sendError(loopErr.code, loopErr.query, loopErr.usage)
+	}
+
+	if err := w.writeTerminalResponse(response); err != nil {
+		return 0, err
+	}
+
+	return len(data), nil
+}
+
+func (w *WebSearchAnthropicWriter) runWebSearchLoop(ctx context.Context, initialResponse api.ChatResponse, initialToolCall api.ToolCall, initialUsage anthropic.Usage) (anthropic.MessagesResponse, *webSearchLoopError) {
+	followUpMessages := make([]api.Message, 0, len(w.chatReq.Messages)+maxWebSearchLoops*2)
+	followUpMessages = append(followUpMessages, w.chatReq.Messages...)
+
+	followUpTools := append(api.Tools(nil), w.chatReq.Tools...)
+	usage := initialUsage
+	logutil.TraceContext(ctx, "anthropic middleware: web_search loop init",
+		"model", w.req.Model,
+		"tool_call", anthropic.TraceToolCall(initialToolCall),
+		"messages", len(followUpMessages),
+		"tools", len(followUpTools),
+		"max_loops", maxWebSearchLoops,
+	)
+
+	currentResponse := initialResponse
+	currentToolCall := initialToolCall
+
+	var serverContent []anthropic.ContentBlock
+
+	if !isCloudModelName(w.req.Model) {
+		logutil.TraceContext(ctx, "anthropic middleware: web_search execution blocked", "reason", "non_cloud_model")
+		return anthropic.MessagesResponse{}, &webSearchLoopError{
+			code:  "web_search_not_supported_for_local_models",
+			query: extractQueryFromToolCall(&initialToolCall),
+			usage: usage,
+		}
+	}
+
+	for loop := 1; loop <= maxWebSearchLoops; loop++ {
+		query := extractQueryFromToolCall(&currentToolCall)
+		logutil.TraceContext(ctx, "anthropic middleware: web_search loop iteration",
+			"loop", loop,
+			"query", anthropic.TraceTruncateString(query),
+			"messages", len(followUpMessages),
+		)
+		if query == "" {
+			return anthropic.MessagesResponse{}, &webSearchLoopError{
+				code:  "invalid_request",
+				query: "",
+				usage: usage,
+			}
+		}
+
+		const defaultMaxResults = 5
+		searchResp, err := anthropic.WebSearch(ctx, query, defaultMaxResults)
+		if err != nil {
+			logutil.TraceContext(ctx, "anthropic middleware: web_search request failed",
+				"loop", loop,
+				"query", query,
+				"error", err,
+			)
+			return anthropic.MessagesResponse{}, &webSearchLoopError{
+				code:  "unavailable",
+				query: query,
+				usage: usage,
+				err:   err,
+			}
+		}
+		logutil.TraceContext(ctx, "anthropic middleware: web_search results",
+			"loop", loop,
+			"results", len(searchResp.Results),
+		)
+
+		toolUseID := loopServerToolUseID(w.inner.id, loop)
+		searchResults := anthropic.ConvertOllamaToAnthropicResults(searchResp)
+		serverContent = append(serverContent,
+			anthropic.ContentBlock{
+				Type:  "server_tool_use",
+				ID:    toolUseID,
+				Name:  "web_search",
+				Input: map[string]any{"query": query},
+			},
+			anthropic.ContentBlock{
+				Type:      "web_search_tool_result",
+				ToolUseID: toolUseID,
+				Content:   searchResults,
+			},
+		)
+
+		assistantMsg := buildWebSearchAssistantMessage(currentResponse, currentToolCall)
+		toolResultMsg := api.Message{
+			Role:       "tool",
+			Content:    formatWebSearchResultsForToolMessage(searchResp.Results),
+			ToolCallID: currentToolCall.ID,
+		}
+		followUpMessages = append(followUpMessages, assistantMsg, toolResultMsg)
+
+		followUpResponse, err := w.callFollowUpChat(ctx, followUpMessages, followUpTools)
+		if err != nil {
+			logutil.TraceContext(ctx, "anthropic middleware: followup /api/chat failed",
+				"loop", loop,
+				"query", query,
+				"error", err,
+			)
+			return anthropic.MessagesResponse{}, &webSearchLoopError{
+				code:  "api_error",
+				query: query,
+				usage: usage,
+				err:   err,
+			}
+		}
+		logutil.TraceContext(ctx, "anthropic middleware: followup response",
+			"loop", loop,
+			"resp", anthropic.TraceChatResponse(followUpResponse),
+		)
+
+		usage.InputTokens += followUpResponse.Metrics.PromptEvalCount
+		usage.OutputTokens += followUpResponse.Metrics.EvalCount
+
+		nextToolCall, hasWebSearch, hasOtherTools := findWebSearchToolCall(followUpResponse.Message.ToolCalls)
+		if hasWebSearch && hasOtherTools {
+			// Prefer web_search if both server and client tools are present in one chunk.
+			slog.Debug("preferring web_search tool call over client tool calls in mixed followup response")
+		}
+
+		if !hasWebSearch {
+			finalResponse := w.combineServerAndFinalContent(serverContent, followUpResponse, usage)
+			logutil.TraceContext(ctx, "anthropic middleware: web_search loop complete",
+				"loop", loop,
+				"resp", anthropic.TraceMessagesResponse(finalResponse),
+			)
+			return finalResponse, nil
+		}
+
+		currentResponse = followUpResponse
+		currentToolCall = nextToolCall
+	}
+
+	maxLoopQuery := extractQueryFromToolCall(&currentToolCall)
+	maxLoopToolUseID := loopServerToolUseID(w.inner.id, maxWebSearchLoops+1)
+	serverContent = append(serverContent,
+		anthropic.ContentBlock{
+			Type:  "server_tool_use",
+			ID:    maxLoopToolUseID,
+			Name:  "web_search",
+			Input: map[string]any{"query": maxLoopQuery},
+		},
+		anthropic.ContentBlock{
+			Type:      "web_search_tool_result",
+			ToolUseID: maxLoopToolUseID,
+			Content: anthropic.WebSearchToolResultError{
+				Type:      "web_search_tool_result_error",
+				ErrorCode: "max_uses_exceeded",
+			},
+		},
+	)
+
+	maxResponse := anthropic.MessagesResponse{
+		ID:         w.inner.id,
+		Type:       "message",
+		Role:       "assistant",
+		Model:      w.req.Model,
+		Content:    serverContent,
+		StopReason: "end_turn",
+		Usage:      usage,
+	}
+	logutil.TraceContext(ctx, "anthropic middleware: web_search loop max reached",
+		"resp", anthropic.TraceMessagesResponse(maxResponse),
+	)
+	return maxResponse, nil
+}
+
+func (w *WebSearchAnthropicWriter) startLoopWorker(initialResponse api.ChatResponse, initialToolCall api.ToolCall) {
+	if w.loopInFlight {
+		return
+	}
+
+	initialUsage := anthropic.Usage{
+		InputTokens:  max(w.observedPromptEvalCount, initialResponse.Metrics.PromptEvalCount),
+		OutputTokens: max(w.observedEvalCount, initialResponse.Metrics.EvalCount),
+	}
+	w.loopBaseInputTok = initialUsage.InputTokens
+	w.loopBaseOutputTok = initialUsage.OutputTokens
+	w.loopResultCh = make(chan webSearchLoopResult, 1)
+	w.loopInFlight = true
+	logutil.Trace("anthropic middleware: loop worker started",
+		"usage", initialUsage,
+		"tool_call", anthropic.TraceToolCall(initialToolCall),
+	)
+
+	go func() {
+		ctx, cancel := w.startLoopContext()
+		defer cancel()
+
+		response, loopErr := w.runWebSearchLoop(ctx, initialResponse, initialToolCall, initialUsage)
+		w.loopResultCh <- webSearchLoopResult{
+			response: response,
+			loopErr:  loopErr,
+		}
+	}()
+}
+
+func (w *WebSearchAnthropicWriter) writeLoopResult() error {
+	if w.loopResultCh == nil {
+		return w.sendError("api_error", "", w.currentObservedUsage())
+	}
+
+	result := <-w.loopResultCh
+	w.loopResultCh = nil
+	w.loopInFlight = false
+	if result.loopErr != nil {
+		logutil.Trace("anthropic middleware: loop worker returned error",
+			"code", result.loopErr.code,
+			"query", result.loopErr.query,
+			"usage", result.loopErr.usage,
+			"error", result.loopErr.err,
+		)
+		usage := result.loopErr.usage
+		w.applyObservedUsageDeltaToUsage(&usage)
+		return w.sendError(result.loopErr.code, result.loopErr.query, usage)
+	}
+	logutil.Trace("anthropic middleware: loop worker done", "resp", anthropic.TraceMessagesResponse(result.response))
+
+	w.applyObservedUsageDelta(&result.response)
+	return w.writeTerminalResponse(result.response)
+}
+
+func (w *WebSearchAnthropicWriter) applyObservedUsageDelta(response *anthropic.MessagesResponse) {
+	w.applyObservedUsageDeltaToUsage(&response.Usage)
+}
+
+func (w *WebSearchAnthropicWriter) recordObservedUsage(metrics api.Metrics) {
+	if metrics.PromptEvalCount > w.observedPromptEvalCount {
+		w.observedPromptEvalCount = metrics.PromptEvalCount
+	}
+	if metrics.EvalCount > w.observedEvalCount {
+		w.observedEvalCount = metrics.EvalCount
+	}
+}
+
+func (w *WebSearchAnthropicWriter) applyObservedUsageDeltaToUsage(usage *anthropic.Usage) {
+	if deltaIn := w.observedPromptEvalCount - w.loopBaseInputTok; deltaIn > 0 {
+		usage.InputTokens += deltaIn
+	}
+	if deltaOut := w.observedEvalCount - w.loopBaseOutputTok; deltaOut > 0 {
+		usage.OutputTokens += deltaOut
+	}
+}
+
+func (w *WebSearchAnthropicWriter) currentObservedUsage() anthropic.Usage {
+	return anthropic.Usage{
+		InputTokens:  w.observedPromptEvalCount,
+		OutputTokens: w.observedEvalCount,
+	}
+}
+
+func (w *WebSearchAnthropicWriter) startLoopContext() (context.Context, context.CancelFunc) {
+	if w.newLoopContext != nil {
+		return w.newLoopContext()
+	}
+	return context.WithTimeout(context.Background(), 5*time.Minute)
+}
+
+func (w *WebSearchAnthropicWriter) combineServerAndFinalContent(serverContent []anthropic.ContentBlock, finalResponse api.ChatResponse, usage anthropic.Usage) anthropic.MessagesResponse {
+	converted := anthropic.ToMessagesResponse(w.inner.id, finalResponse)
+
+	content := make([]anthropic.ContentBlock, 0, len(serverContent)+len(converted.Content))
+	content = append(content, serverContent...)
+	content = append(content, converted.Content...)
+
+	return anthropic.MessagesResponse{
+		ID:           w.inner.id,
+		Type:         "message",
+		Role:         "assistant",
+		Model:        w.req.Model,
+		Content:      content,
+		StopReason:   converted.StopReason,
+		StopSequence: converted.StopSequence,
+		Usage:        usage,
+	}
+}
+
+func buildWebSearchAssistantMessage(response api.ChatResponse, webSearchCall api.ToolCall) api.Message {
+	assistantMsg := api.Message{
+		Role:      "assistant",
+		ToolCalls: []api.ToolCall{webSearchCall},
+	}
+	if response.Message.Content != "" {
+		assistantMsg.Content = response.Message.Content
+	}
+	if response.Message.Thinking != "" {
+		assistantMsg.Thinking = response.Message.Thinking
+	}
+	return assistantMsg
+}
+
+func formatWebSearchResultsForToolMessage(results []anthropic.OllamaWebSearchResult) string {
+	var resultText strings.Builder
+	for _, r := range results {
+		fmt.Fprintf(&resultText, "Title: %s\nURL: %s\n", r.Title, r.URL)
+		if r.Content != "" {
+			fmt.Fprintf(&resultText, "Content: %s\n", r.Content)
+		}
+		resultText.WriteString("\n")
+	}
+	return resultText.String()
+}
+
+func findWebSearchToolCall(toolCalls []api.ToolCall) (api.ToolCall, bool, bool) {
+	var webSearchCall api.ToolCall
+	hasWebSearch := false
+	hasOtherTools := false
+
+	for _, toolCall := range toolCalls {
+		if toolCall.Function.Name == "web_search" {
+			if !hasWebSearch {
+				webSearchCall = toolCall
+				hasWebSearch = true
+			}
+			continue
+		}
+		hasOtherTools = true
+	}
+
+	return webSearchCall, hasWebSearch, hasOtherTools
+}
+
+func loopServerToolUseID(messageID string, loop int) string {
+	base := serverToolUseID(messageID)
+	if loop <= 1 {
+		return base
+	}
+	return fmt.Sprintf("%s_%d", base, loop)
+}
+
+func (w *WebSearchAnthropicWriter) callFollowUpChat(ctx context.Context, messages []api.Message, tools api.Tools) (api.ChatResponse, error) {
+	streaming := false
+	followUp := api.ChatRequest{
+		Model:    w.chatReq.Model,
+		Messages: messages,
+		Stream:   &streaming,
+		Tools:    tools,
+		Options:  w.chatReq.Options,
+	}
+
+	body, err := json.Marshal(followUp)
+	if err != nil {
+		return api.ChatResponse{}, err
+	}
+
+	chatURL := envconfig.Host().String() + "/api/chat"
+	logutil.TraceContext(ctx, "anthropic middleware: followup request",
+		"url", chatURL,
+		"req", anthropic.TraceChatRequest(&followUp),
+	)
+	httpReq, err := http.NewRequestWithContext(ctx, "POST", chatURL, bytes.NewReader(body))
+	if err != nil {
+		return api.ChatResponse{}, err
+	}
+	httpReq.Header.Set("Content-Type", "application/json")
+
+	resp, err := http.DefaultClient.Do(httpReq)
+	if err != nil {
+		return api.ChatResponse{}, err
+	}
+	defer resp.Body.Close()
+
+	if resp.StatusCode != http.StatusOK {
+		respBody, _ := io.ReadAll(resp.Body)
+		logutil.TraceContext(ctx, "anthropic middleware: followup non-200 response",
+			"status", resp.StatusCode,
+			"response", strings.TrimSpace(string(respBody)),
+		)
+		return api.ChatResponse{}, fmt.Errorf("followup /api/chat returned status %d: %s", resp.StatusCode, strings.TrimSpace(string(respBody)))
+	}
+
+	var chatResp api.ChatResponse
+	if err := json.NewDecoder(resp.Body).Decode(&chatResp); err != nil {
+		return api.ChatResponse{}, err
+	}
+	logutil.TraceContext(ctx, "anthropic middleware: followup decoded", "resp", anthropic.TraceChatResponse(chatResp))
+
+	return chatResp, nil
+}
+
+func (w *WebSearchAnthropicWriter) writePassthroughStreamChunk(chatResponse api.ChatResponse) error {
+	events := w.inner.converter.Process(chatResponse)
+	for _, event := range events {
+		switch e := event.Data.(type) {
+		case anthropic.MessageStartEvent:
+			w.streamMessageStarted = true
+		case anthropic.ContentBlockStartEvent:
+			w.streamHasOpenBlock = true
+			w.streamOpenBlockIndex = e.Index
+			if e.Index+1 > w.streamNextIndex {
+				w.streamNextIndex = e.Index + 1
+			}
+		case anthropic.ContentBlockStopEvent:
+			if w.streamHasOpenBlock && w.streamOpenBlockIndex == e.Index {
+				w.streamHasOpenBlock = false
+			}
+			if e.Index+1 > w.streamNextIndex {
+				w.streamNextIndex = e.Index + 1
+			}
+		case anthropic.MessageStopEvent:
+			w.terminalSent = true
+		}
+
+		if err := writeSSE(w.ResponseWriter, event.Event, event.Data); err != nil {
+			return err
+		}
+	}
+
+	return nil
+}
+
+func (w *WebSearchAnthropicWriter) ensureStreamMessageStart(usage anthropic.Usage) error {
+	if w.streamMessageStarted {
+		return nil
+	}
+
+	inputTokens := usage.InputTokens
+	if inputTokens == 0 {
+		inputTokens = w.estimatedInputTokens
+	}
+
+	if err := writeSSE(w.ResponseWriter, "message_start", anthropic.MessageStartEvent{
+		Type: "message_start",
+		Message: anthropic.MessagesResponse{
+			ID:      w.inner.id,
+			Type:    "message",
+			Role:    "assistant",
+			Model:   w.req.Model,
+			Content: []anthropic.ContentBlock{},
+			Usage: anthropic.Usage{
+				InputTokens: inputTokens,
+			},
+		},
+	}); err != nil {
+		return err
+	}
+
+	w.streamMessageStarted = true
+	return nil
+}
+
+func (w *WebSearchAnthropicWriter) closeOpenStreamBlock() error {
+	if !w.streamHasOpenBlock {
+		return nil
+	}
+
+	if err := writeSSE(w.ResponseWriter, "content_block_stop", anthropic.ContentBlockStopEvent{
+		Type:  "content_block_stop",
+		Index: w.streamOpenBlockIndex,
+	}); err != nil {
+		return err
+	}
+
+	if w.streamOpenBlockIndex+1 > w.streamNextIndex {
+		w.streamNextIndex = w.streamOpenBlockIndex + 1
+	}
+	w.streamHasOpenBlock = false
+	return nil
+}
+
+func (w *WebSearchAnthropicWriter) writeStreamContentBlocks(content []anthropic.ContentBlock) error {
+	for _, block := range content {
+		index := w.streamNextIndex
+		if block.Type == "text" {
+			emptyText := ""
+			if err := writeSSE(w.ResponseWriter, "content_block_start", anthropic.ContentBlockStartEvent{
+				Type:  "content_block_start",
+				Index: index,
+				ContentBlock: anthropic.ContentBlock{
+					Type: "text",
+					Text: &emptyText,
+				},
+			}); err != nil {
+				return err
+			}
+
+			text := ""
+			if block.Text != nil {
+				text = *block.Text
+			}
+			if err := writeSSE(w.ResponseWriter, "content_block_delta", anthropic.ContentBlockDeltaEvent{
+				Type:  "content_block_delta",
+				Index: index,
+				Delta: anthropic.Delta{
+					Type: "text_delta",
+					Text: text,
+				},
+			}); err != nil {
+				return err
+			}
+		} else {
+			if err := writeSSE(w.ResponseWriter, "content_block_start", anthropic.ContentBlockStartEvent{
+				Type:         "content_block_start",
+				Index:        index,
+				ContentBlock: block,
+			}); err != nil {
+				return err
+			}
+		}
+
+		if err := writeSSE(w.ResponseWriter, "content_block_stop", anthropic.ContentBlockStopEvent{
+			Type:  "content_block_stop",
+			Index: index,
+		}); err != nil {
+			return err
+		}
+
+		w.streamNextIndex++
+	}
+
+	return nil
+}
+
+func (w *WebSearchAnthropicWriter) writeTerminalResponse(response anthropic.MessagesResponse) error {
+	if w.terminalSent {
+		return nil
+	}
+
+	if !w.stream {
+		w.ResponseWriter.Header().Set("Content-Type", "application/json")
+		if err := json.NewEncoder(w.ResponseWriter).Encode(response); err != nil {
+			return err
+		}
+		w.terminalSent = true
+		return nil
+	}
+
+	if err := w.ensureStreamMessageStart(response.Usage); err != nil {
+		return err
+	}
+	if err := w.closeOpenStreamBlock(); err != nil {
+		return err
+	}
+	if err := w.writeStreamContentBlocks(response.Content); err != nil {
+		return err
+	}
+
+	if err := writeSSE(w.ResponseWriter, "message_delta", anthropic.MessageDeltaEvent{
+		Type: "message_delta",
+		Delta: anthropic.MessageDelta{
+			StopReason: response.StopReason,
+		},
+		Usage: anthropic.DeltaUsage{
+			InputTokens:  response.Usage.InputTokens,
+			OutputTokens: response.Usage.OutputTokens,
+		},
+	}); err != nil {
+		return err
+	}
+
+	if err := writeSSE(w.ResponseWriter, "message_stop", anthropic.MessageStopEvent{
+		Type: "message_stop",
+	}); err != nil {
+		return err
+	}
+
+	w.terminalSent = true
+	return nil
+}
+
+// streamResponse emits a complete MessagesResponse as SSE events.
+func (w *WebSearchAnthropicWriter) streamResponse(response anthropic.MessagesResponse) error {
+	return w.writeTerminalResponse(response)
+}
+
+func (w *WebSearchAnthropicWriter) webSearchErrorResponse(errorCode, query string, usage anthropic.Usage) anthropic.MessagesResponse {
+	toolUseID := serverToolUseID(w.inner.id)
+
+	return anthropic.MessagesResponse{
+		ID:    w.inner.id,
+		Type:  "message",
+		Role:  "assistant",
+		Model: w.req.Model,
+		Content: []anthropic.ContentBlock{
+			{
+				Type:  "server_tool_use",
+				ID:    toolUseID,
+				Name:  "web_search",
+				Input: map[string]any{"query": query},
+			},
+			{
+				Type:      "web_search_tool_result",
+				ToolUseID: toolUseID,
+				Content: anthropic.WebSearchToolResultError{
+					Type:      "web_search_tool_result_error",
+					ErrorCode: errorCode,
+				},
+			},
+		},
+		StopReason: "end_turn",
+		Usage:      usage,
+	}
+}
+
+// sendError sends a web search error response.
+func (w *WebSearchAnthropicWriter) sendError(errorCode, query string, usage anthropic.Usage) error {
+	response := w.webSearchErrorResponse(errorCode, query, usage)
+	logutil.Trace("anthropic middleware: web_search error", "code", errorCode, "query", query, "usage", usage)
+	return w.writeTerminalResponse(response)
+}
+
 // AnthropicMessagesMiddleware handles Anthropic Messages API requests
 func AnthropicMessagesMiddleware() gin.HandlerFunc {
 	return func(c *gin.Context) {
+		requestCtx := c.Request.Context()
+
 		var req anthropic.MessagesRequest
 		err := c.ShouldBindJSON(&req)
 		if err != nil {
@@ -134,11 +865,10 @@ func AnthropicMessagesMiddleware() gin.HandlerFunc {
 		// Estimate input tokens for streaming (actual count not available until generation completes)
 		estimatedTokens := anthropic.EstimateInputTokens(req)
 
-		w := &AnthropicWriter{
+		innerWriter := &AnthropicWriter{
 			BaseWriter: BaseWriter{ResponseWriter: c.Writer},
 			stream:     req.Stream,
 			id:         messageID,
-			model:      req.Model,
 			converter:  anthropic.NewStreamConverter(messageID, req.Model, estimatedTokens),
 		}
 
@@ -148,8 +878,78 @@ func AnthropicMessagesMiddleware() gin.HandlerFunc {
 			c.Writer.Header().Set("Connection", "keep-alive")
 		}
 
-		c.Writer = w
+		if hasWebSearchTool(req.Tools) {
+			// Guard against runtime cloud-disable policy (OLLAMA_NO_CLOUD/server.json)
+			// for cloud models. Local models may still receive web_search tool definitions;
+			// execution is validated when the model actually emits a web_search tool call.
+			if isCloudModelName(req.Model) {
+				if disabled, _ := internalcloud.Status(); disabled {
+					c.AbortWithStatusJSON(http.StatusForbidden, anthropic.NewError(http.StatusForbidden, internalcloud.DisabledError("web search is unavailable")))
+					return
+				}
+			}
+
+			c.Writer = &WebSearchAnthropicWriter{
+				BaseWriter: BaseWriter{ResponseWriter: c.Writer},
+				newLoopContext: func() (context.Context, context.CancelFunc) {
+					return context.WithTimeout(requestCtx, 5*time.Minute)
+				},
+				inner:                innerWriter,
+				req:                  req,
+				chatReq:              chatReq,
+				stream:               req.Stream,
+				estimatedInputTokens: estimatedTokens,
+			}
+		} else {
+			c.Writer = innerWriter
+		}
 
 		c.Next()
 	}
 }
+
+// hasWebSearchTool checks if the request tools include a web_search tool
+func hasWebSearchTool(tools []anthropic.Tool) bool {
+	for _, tool := range tools {
+		if strings.HasPrefix(tool.Type, "web_search") {
+			return true
+		}
+	}
+	return false
+}
+
+func isCloudModelName(name string) bool {
+	return strings.HasSuffix(name, ":cloud") || strings.HasSuffix(name, "-cloud")
+}
+
+// extractQueryFromToolCall extracts the search query from a web_search tool call
+func extractQueryFromToolCall(tc *api.ToolCall) string {
+	q, ok := tc.Function.Arguments.Get("query")
+	if !ok {
+		return ""
+	}
+	if s, ok := q.(string); ok {
+		return s
+	}
+	return ""
+}
+
+// writeSSE writes a Server-Sent Event
+func writeSSE(w http.ResponseWriter, eventType string, data any) error {
+	d, err := json.Marshal(data)
+	if err != nil {
+		return err
+	}
+	if _, err := fmt.Fprintf(w, "event: %s\ndata: %s\n\n", eventType, d); err != nil {
+		return err
+	}
+	if f, ok := w.(http.Flusher); ok {
+		f.Flush()
+	}
+	return nil
+}
+
+// serverToolUseID derives a server tool use ID from a message ID
+func serverToolUseID(messageID string) string {
+	return "srvtoolu_" + strings.TrimPrefix(messageID, "msg_")
+}

middleware/test_home_test.go

@@ -0,0 +1,22 @@
+package middleware
+
+import (
+	"testing"
+
+	"github.com/ollama/ollama/envconfig"
+)
+
+func setTestHome(t *testing.T, home string) {
+	t.Helper()
+	t.Setenv("HOME", home)
+	t.Setenv("USERPROFILE", home)
+	envconfig.ReloadServerConfig()
+}
+
+// enableCloudForTest sets HOME to a clean temp dir and clears OLLAMA_NO_CLOUD
+// so that cloud features are enabled for the duration of the test.
+func enableCloudForTest(t *testing.T) {
+	t.Helper()
+	t.Setenv("OLLAMA_NO_CLOUD", "")
+	setTestHome(t, t.TempDir())
+}

readline/errors.go

@@ -5,6 +5,7 @@ import (
 )
 
 var ErrInterrupt = errors.New("Interrupt")
+var ErrEditPrompt = errors.New("EditPrompt")
 
 type InterruptError struct {
 	Line []rune

readline/readline.go

@@ -41,6 +41,7 @@ type Instance struct {
 	Terminal    *Terminal
 	History     *History
 	Pasting     bool
+	Prefill     string
 	pastedLines []string
 }
 
@@ -89,6 +90,27 @@ func (i *Instance) Readline() (string, error) {
 
 	buf, _ := NewBuffer(i.Prompt)
 
+	// Prefill the buffer with any text that we received from an external editor
+	if i.Prefill != "" {
+		lines := strings.Split(i.Prefill, "\n")
+		i.Prefill = ""
+		for idx, l := range lines {
+			for _, r := range l {
+				buf.Add(r)
+			}
+			if idx < len(lines)-1 {
+				i.pastedLines = append(i.pastedLines, buf.String())
+				buf.Buf.Clear()
+				buf.Pos = 0
+				buf.DisplayPos = 0
+				buf.LineHasSpace.Clear()
+				fmt.Println()
+				fmt.Print(i.Prompt.AltPrompt)
+				i.Prompt.UseAlt = true
+			}
+		}
+	}
+
 	var esc bool
 	var escex bool
 	var metaDel bool
@@ -251,6 +273,29 @@ func (i *Instance) Readline() (string, error) {
 			buf.ClearScreen()
 		case CharCtrlW:
 			buf.DeleteWord()
+		case CharBell:
+			output := buf.String()
+			numPastedLines := len(i.pastedLines)
+			if numPastedLines > 0 {
+				output = strings.Join(i.pastedLines, "\n") + "\n" + output
+				i.pastedLines = nil
+			}
+
+			// Move cursor to the last display line of the current buffer
+			currLine := buf.DisplayPos / buf.LineWidth
+			lastLine := buf.DisplaySize() / buf.LineWidth
+			if lastLine > currLine {
+				fmt.Print(CursorDownN(lastLine - currLine))
+			}
+
+			// Clear all lines from bottom to top: buffer wrapped lines + pasted lines
+			for range lastLine + numPastedLines {
+				fmt.Print(CursorBOL + ClearToEOL + CursorUp)
+			}
+			fmt.Print(CursorBOL + ClearToEOL)
+
+			i.Prompt.UseAlt = false
+			return output, ErrEditPrompt
 		case CharCtrlZ:
 			fd := os.Stdin.Fd()
 			return handleCharCtrlZ(fd, i.Terminal.termios)

runner/runner.go

@@ -4,6 +4,7 @@ import (
 	"github.com/ollama/ollama/runner/llamarunner"
 	"github.com/ollama/ollama/runner/ollamarunner"
 	"github.com/ollama/ollama/x/imagegen"
+	"github.com/ollama/ollama/x/mlxrunner"
 )
 
 func Execute(args []string) error {
@@ -17,6 +18,8 @@ func Execute(args []string) error {
 			return ollamarunner.Execute(args[1:])
 		case "--imagegen-engine":
 			return imagegen.Execute(args[1:])
+		case "--mlx-engine":
+			return mlxrunner.Execute(args[1:])
 		}
 	}
 	return llamarunner.Execute(args)

scripts/build_windows.ps1

@@ -302,12 +302,22 @@ function deps {
 }
 
 function sign {
+    # Copy install.ps1 to dist for release packaging
+    write-host "Copying install.ps1 to dist"
+    Copy-Item -Path "${script:SRC_DIR}\scripts\install.ps1" -Destination "${script:SRC_DIR}\dist\install.ps1"
+
     if ("${env:KEY_CONTAINER}") {
         write-host "Signing Ollama executables, scripts and libraries"
         & "${script:SignTool}" sign /v /fd sha256 /t http://timestamp.digicert.com /f "${script:OLLAMA_CERT}" `
             /csp "Google Cloud KMS Provider" /kc ${env:KEY_CONTAINER} `
             $(get-childitem -path "${script:SRC_DIR}\dist\windows-*" -r -include @('*.exe', '*.dll'))
         if ($LASTEXITCODE -ne 0) { exit($LASTEXITCODE)}
+
+        write-host "Signing install.ps1"
+        & "${script:SignTool}" sign /v /fd sha256 /t http://timestamp.digicert.com /f "${script:OLLAMA_CERT}" `
+            /csp "Google Cloud KMS Provider" /kc ${env:KEY_CONTAINER} `
+            "${script:SRC_DIR}\dist\install.ps1"
+        if ($LASTEXITCODE -ne 0) { exit($LASTEXITCODE)}
     } else {
         write-host "Signing not enabled"
     }

scripts/install.ps1

@@ -0,0 +1,323 @@
+<#
+.SYNOPSIS
+    Install, upgrade, or uninstall Ollama on Windows.
+
+.DESCRIPTION
+    Downloads and installs Ollama.
+
+    Quick install:
+
+        irm https://ollama.com/install.ps1 | iex
+
+    Specific version:
+
+        $env:OLLAMA_VERSION="0.5.7"; irm https://ollama.com/install.ps1 | iex
+
+    Custom install directory:
+
+        $env:OLLAMA_INSTALL_DIR="D:\Ollama"; irm https://ollama.com/install.ps1 | iex
+
+    Uninstall:
+
+        $env:OLLAMA_UNINSTALL=1; irm https://ollama.com/install.ps1 | iex
+
+    Environment variables:
+
+        OLLAMA_VERSION       Target version (default: latest stable)
+        OLLAMA_INSTALL_DIR   Custom install directory
+        OLLAMA_UNINSTALL     Set to 1 to uninstall Ollama
+        OLLAMA_DEBUG         Enable verbose output
+
+.EXAMPLE
+    irm https://ollama.com/install.ps1 | iex
+
+.EXAMPLE
+    $env:OLLAMA_VERSION = "0.5.7"; irm https://ollama.com/install.ps1 | iex
+
+.LINK
+    https://ollama.com
+#>
+
+$ErrorActionPreference = "Stop"
+$ProgressPreference = "SilentlyContinue"
+
+# --------------------------------------------------------------------------
+# Configuration from environment variables
+# --------------------------------------------------------------------------
+
+$Version      = if ($env:OLLAMA_VERSION) { $env:OLLAMA_VERSION } else { "" }
+$InstallDir   = if ($env:OLLAMA_INSTALL_DIR) { $env:OLLAMA_INSTALL_DIR } else { "" }
+$Uninstall    = $env:OLLAMA_UNINSTALL -eq "1"
+$DebugInstall = [bool]$env:OLLAMA_DEBUG
+
+# --------------------------------------------------------------------------
+# Constants
+# --------------------------------------------------------------------------
+
+# OLLAMA_DOWNLOAD_URL for developer testing only
+$DownloadBaseURL = if ($env:OLLAMA_DOWNLOAD_URL) { $env:OLLAMA_DOWNLOAD_URL.TrimEnd('/') } else { "https://ollama.com/download" }
+$InnoSetupUninstallGuid = "{44E83376-CE68-45EB-8FC1-393500EB558C}_is1"
+
+# --------------------------------------------------------------------------
+# Helpers
+# --------------------------------------------------------------------------
+
+function Write-Status {
+    param([string]$Message)
+    if ($DebugInstall) { Write-Host $Message }
+}
+
+function Write-Step {
+    param([string]$Message)
+    if ($DebugInstall) { Write-Host ">>> $Message" -ForegroundColor Cyan }
+}
+
+function Test-Signature {
+    param([string]$FilePath)
+
+    $sig = Get-AuthenticodeSignature -FilePath $FilePath
+    if ($sig.Status -ne "Valid") {
+        Write-Status "  Signature status: $($sig.Status)"
+        return $false
+    }
+
+    # Verify it's signed by Ollama Inc. (check exact organization name)
+    # Anchor with comma/boundary to prevent "O=Not Ollama Inc." from matching
+    $subject = $sig.SignerCertificate.Subject
+    if ($subject -notmatch "(^|, )O=Ollama Inc\.(,|$)") {
+        Write-Status "  Unexpected signer: $subject"
+        return $false
+    }
+
+    Write-Status "  Signature valid: $subject"
+    return $true
+}
+
+function Find-InnoSetupInstall {
+    # Check both HKCU (per-user) and HKLM (per-machine) locations
+    $possibleKeys = @(
+        "HKCU:\Software\Microsoft\Windows\CurrentVersion\Uninstall\$InnoSetupUninstallGuid",
+        "HKLM:\Software\Microsoft\Windows\CurrentVersion\Uninstall\$InnoSetupUninstallGuid",
+        "HKLM:\Software\WOW6432Node\Microsoft\Windows\CurrentVersion\Uninstall\$InnoSetupUninstallGuid"
+    )
+
+    foreach ($key in $possibleKeys) {
+        if (Test-Path $key) {
+            Write-Status "  Found install at: $key"
+            return $key
+        }
+    }
+    return $null
+}
+
+function Update-SessionPath {
+    # Update PATH in current session so 'ollama' works immediately
+    if ($InstallDir) {
+        $ollamaDir = $InstallDir
+    } else {
+        $ollamaDir = Join-Path $env:LOCALAPPDATA "Programs\Ollama"
+    }
+
+    # Add to PATH if not already present
+    if (Test-Path $ollamaDir) {
+        $currentPath = $env:PATH -split ';'
+        if ($ollamaDir -notin $currentPath) {
+            $env:PATH = "$ollamaDir;$env:PATH"
+            Write-Status "  Added $ollamaDir to session PATH"
+        }
+    }
+}
+
+function Invoke-Download {
+    param(
+        [string]$Url,
+        [string]$OutFile
+    )
+
+    Write-Status "  Downloading: $Url"
+    try {
+        $request = [System.Net.HttpWebRequest]::Create($Url)
+        $request.AllowAutoRedirect = $true
+        $response = $request.GetResponse()
+        $totalBytes = $response.ContentLength
+        $stream = $response.GetResponseStream()
+        $fileStream = [System.IO.FileStream]::new($OutFile, [System.IO.FileMode]::Create)
+        $buffer = [byte[]]::new(65536)
+        $totalRead = 0
+        $lastUpdate = [DateTime]::MinValue
+        $barWidth = 40
+
+        try {
+            while (($read = $stream.Read($buffer, 0, $buffer.Length)) -gt 0) {
+                $fileStream.Write($buffer, 0, $read)
+                $totalRead += $read
+
+                $now = [DateTime]::UtcNow
+                if (($now - $lastUpdate).TotalMilliseconds -ge 250) {
+                    if ($totalBytes -gt 0) {
+                        $pct = [math]::Min(100.0, ($totalRead / $totalBytes) * 100)
+                        $filled = [math]::Floor($barWidth * $pct / 100)
+                        $empty = $barWidth - $filled
+                        $bar = ('#' * $filled) + (' ' * $empty)
+                        $pctFmt = $pct.ToString("0.0")
+                        Write-Host -NoNewline "`r$bar ${pctFmt}%"
+                    } else {
+                        $sizeMB = [math]::Round($totalRead / 1MB, 1)
+                        Write-Host -NoNewline "`r${sizeMB} MB downloaded..."
+                    }
+                    $lastUpdate = $now
+                }
+            }
+
+            # Final progress update
+            if ($totalBytes -gt 0) {
+                $bar = '#' * $barWidth
+                Write-Host "`r$bar 100.0%"
+            } else {
+                $sizeMB = [math]::Round($totalRead / 1MB, 1)
+                Write-Host "`r${sizeMB} MB downloaded.          "
+            }
+        } finally {
+            $fileStream.Close()
+            $stream.Close()
+            $response.Close()
+        }
+    } catch {
+        if ($_.Exception -is [System.Net.WebException]) {
+            $webEx = [System.Net.WebException]$_.Exception
+            if ($webEx.Response -and ([System.Net.HttpWebResponse]$webEx.Response).StatusCode -eq [System.Net.HttpStatusCode]::NotFound) {
+                throw "Download failed: not found at $Url"
+            }
+        }
+        if ($_.Exception.InnerException -is [System.Net.WebException]) {
+            $webEx = [System.Net.WebException]$_.Exception.InnerException
+            if ($webEx.Response -and ([System.Net.HttpWebResponse]$webEx.Response).StatusCode -eq [System.Net.HttpStatusCode]::NotFound) {
+                throw "Download failed: not found at $Url"
+            }
+        }
+        throw "Download failed for ${Url}: $($_.Exception.Message)"
+    }
+}
+
+# --------------------------------------------------------------------------
+# Uninstall
+# --------------------------------------------------------------------------
+
+function Invoke-Uninstall {
+    Write-Step "Uninstalling Ollama"
+
+    $regKey = Find-InnoSetupInstall
+    if (-not $regKey) {
+        Write-Host ">>> Ollama is not installed."
+        return
+    }
+
+    $uninstallString = (Get-ItemProperty -Path $regKey).UninstallString
+    if (-not $uninstallString) {
+        Write-Warning "No uninstall string found in registry"
+        return
+    }
+
+    # Strip quotes if present
+    $uninstallExe = $uninstallString -replace '"', ''
+    Write-Status "  Uninstaller: $uninstallExe"
+
+    if (-not (Test-Path $uninstallExe)) {
+        Write-Warning "Uninstaller not found at: $uninstallExe"
+        return
+    }
+
+    Write-Host ">>> Launching uninstaller..."
+    # Run with GUI so user can choose whether to keep models
+    Start-Process -FilePath $uninstallExe -Wait
+
+    # Verify removal
+    if (Find-InnoSetupInstall) {
+        Write-Warning "Uninstall may not have completed"
+    } else {
+        Write-Host ">>> Ollama has been uninstalled."
+    }
+}
+
+# --------------------------------------------------------------------------
+# Install
+# --------------------------------------------------------------------------
+
+function Invoke-Install {
+    # Determine installer URL
+    if ($Version) {
+        $installerUrl = "$DownloadBaseURL/OllamaSetup.exe?version=$Version"
+    } else {
+        $installerUrl = "$DownloadBaseURL/OllamaSetup.exe"
+    }
+
+    # Download installer
+    Write-Step "Downloading Ollama"
+    if (-not $DebugInstall) {
+        Write-Host ">>> Downloading Ollama for Windows..."
+    }
+
+    $tempInstaller = Join-Path $env:TEMP "OllamaSetup.exe"
+    Invoke-Download -Url $installerUrl -OutFile $tempInstaller
+
+    # Verify signature
+    Write-Step "Verifying signature"
+    if (-not (Test-Signature -FilePath $tempInstaller)) {
+        Remove-Item $tempInstaller -Force -ErrorAction SilentlyContinue
+        throw "Installer signature verification failed"
+    }
+
+    # Build installer arguments
+    $installerArgs = "/VERYSILENT /NORESTART /SUPPRESSMSGBOXES"
+    if ($InstallDir) {
+        $installerArgs += " /DIR=`"$InstallDir`""
+    }
+    Write-Status "  Installer args: $installerArgs"
+
+    # Run installer
+    Write-Step "Installing Ollama"
+    if (-not $DebugInstall) {
+        Write-Host ">>> Installing Ollama..."
+    }
+
+    # Create upgrade marker so the app starts hidden
+    # The app checks for this file on startup and removes it after
+    $markerDir = Join-Path $env:LOCALAPPDATA "Ollama"
+    $markerFile = Join-Path $markerDir "upgraded"
+    if (-not (Test-Path $markerDir)) {
+        New-Item -ItemType Directory -Path $markerDir -Force | Out-Null
+    }
+    New-Item -ItemType File -Path $markerFile -Force | Out-Null
+    Write-Status "  Created upgrade marker: $markerFile"
+
+    # Start installer and wait for just the installer process (not children)
+    # Using -Wait would wait for Ollama to exit too, which we don't want
+    $proc = Start-Process -FilePath $tempInstaller `
+        -ArgumentList $installerArgs `
+        -PassThru
+    $proc.WaitForExit()
+
+    if ($proc.ExitCode -ne 0) {
+        Remove-Item $tempInstaller -Force -ErrorAction SilentlyContinue
+        throw "Installation failed with exit code $($proc.ExitCode)"
+    }
+
+    # Cleanup
+    Remove-Item $tempInstaller -Force -ErrorAction SilentlyContinue
+
+    # Update PATH in current session so 'ollama' works immediately
+    Write-Step "Updating session PATH"
+    Update-SessionPath
+
+    Write-Host ">>> Install complete. Run 'ollama' from the command line."
+}
+
+# --------------------------------------------------------------------------
+# Main
+# --------------------------------------------------------------------------
+
+if ($Uninstall) {
+    Invoke-Uninstall
+} else {
+    Invoke-Install
+}

scripts/install.sh

@@ -35,6 +35,8 @@ case "$ARCH" in
     *) error "Unsupported architecture: $ARCH" ;;
 esac
 
+VER_PARAM="${OLLAMA_VERSION:+?version=$OLLAMA_VERSION}"
+
 ###########################################
 # macOS
 ###########################################
@@ -49,11 +51,7 @@ if [ "$OS" = "Darwin" ]; then
         exit 1
     fi
 
-    if [ -n "${OLLAMA_VERSION:-}" ]; then
-        DOWNLOAD_URL="https://github.com/ollama/ollama/releases/download/${OLLAMA_VERSION}/Ollama-darwin.zip"
-    else
-        DOWNLOAD_URL="https://github.com/ollama/ollama/releases/latest/download/Ollama-darwin.zip"
-    fi
+    DOWNLOAD_URL="https://ollama.com/download/Ollama-darwin.zip${VER_PARAM}"
 
     if pgrep -x Ollama >/dev/null 2>&1; then
         status "Stopping running Ollama instance..."
@@ -74,10 +72,12 @@ if [ "$OS" = "Darwin" ]; then
     unzip -q "$TEMP_DIR/Ollama-darwin.zip" -d "$TEMP_DIR"
     mv "$TEMP_DIR/Ollama.app" "/Applications/"
 
-    status "Adding 'ollama' command to PATH (may require password)..."
-    mkdir -p "/usr/local/bin" 2>/dev/null || sudo mkdir -p "/usr/local/bin"
-    ln -sf "/Applications/Ollama.app/Contents/Resources/ollama" "/usr/local/bin/ollama" 2>/dev/null || \
-        sudo ln -sf "/Applications/Ollama.app/Contents/Resources/ollama" "/usr/local/bin/ollama"
+    if [ ! -L "/usr/local/bin/ollama" ] || [ "$(readlink "/usr/local/bin/ollama")" != "/Applications/Ollama.app/Contents/Resources/ollama" ]; then
+        status "Adding 'ollama' command to PATH (may require password)..."
+        mkdir -p "/usr/local/bin" 2>/dev/null || sudo mkdir -p "/usr/local/bin"
+        ln -sf "/Applications/Ollama.app/Contents/Resources/ollama" "/usr/local/bin/ollama" 2>/dev/null || \
+            sudo ln -sf "/Applications/Ollama.app/Contents/Resources/ollama" "/usr/local/bin/ollama"
+    fi
 
     if [ -z "${OLLAMA_NO_START:-}" ]; then
         status "Starting Ollama..."
@@ -103,8 +103,6 @@ case "$KERN" in
     *) ;;
 esac
 
-VER_PARAM="${OLLAMA_VERSION:+?version=$OLLAMA_VERSION}"
-
 SUDO=
 if [ "$(id -u)" -ne 0 ]; then
     # Running as root, no need for sudo

server/aliases.go

@@ -115,6 +115,15 @@ func (s *store) saveLocked() error {
 		return err
 	}
 
+	// Read existing file into a generic map to preserve unknown fields
+	// (e.g. disable_ollama_cloud) that aliasStore doesn't own.
+	existing := make(map[string]json.RawMessage)
+	if data, err := os.ReadFile(s.path); err == nil {
+		if err := json.Unmarshal(data, &existing); err != nil {
+			slog.Debug("failed to parse existing server config; preserving unknown fields skipped", "path", s.path, "error", err)
+		}
+	}
+
 	// Combine exact and prefix entries
 	entries := make([]aliasEntry, 0, len(s.entries)+len(s.prefixEntries))
 	for _, entry := range s.entries {
@@ -126,10 +135,17 @@ func (s *store) saveLocked() error {
 		return strings.Compare(entries[i].Alias, entries[j].Alias) < 0
 	})
 
-	cfg := serverConfig{
-		Version: serverConfigVersion,
-		Aliases: entries,
+	// Overwrite only the keys we own
+	versionJSON, err := json.Marshal(serverConfigVersion)
+	if err != nil {
+		return err
 	}
+	aliasesJSON, err := json.Marshal(entries)
+	if err != nil {
+		return err
+	}
+	existing["version"] = versionJSON
+	existing["aliases"] = aliasesJSON
 
 	f, err := os.CreateTemp(dir, "router-*.json")
 	if err != nil {
@@ -138,7 +154,7 @@ func (s *store) saveLocked() error {
 
 	enc := json.NewEncoder(f)
 	enc.SetIndent("", "  ")
-	if err := enc.Encode(cfg); err != nil {
+	if err := enc.Encode(existing); err != nil {
 		_ = f.Close()
 		_ = os.Remove(f.Name())
 		return err

server/routes.go

@@ -38,6 +38,7 @@ import (
 	"github.com/ollama/ollama/envconfig"
 	"github.com/ollama/ollama/format"
 	"github.com/ollama/ollama/fs/ggml"
+	internalcloud "github.com/ollama/ollama/internal/cloud"
 	"github.com/ollama/ollama/llm"
 	"github.com/ollama/ollama/logutil"
 	"github.com/ollama/ollama/manifest"
@@ -58,6 +59,11 @@ import (
 
 const signinURLStr = "https://ollama.com/connect?name=%s&key=%s"
 
+const (
+	cloudErrRemoteInferenceUnavailable    = "remote model is unavailable"
+	cloudErrRemoteModelDetailsUnavailable = "remote model details are unavailable"
+)
+
 func shouldUseHarmony(model *Model) bool {
 	if slices.Contains([]string{"gptoss", "gpt-oss"}, model.Config.ModelFamily) {
 		// heuristic to check whether the template expects to be parsed via harmony:
@@ -144,12 +150,15 @@ func (s *Server) scheduleRunner(ctx context.Context, name string, caps []model.C
 		return nil, nil, nil, fmt.Errorf("%s %w", name, err)
 	}
 
+	useImagegen, _ := requestOpts["use_imagegen_runner"].(bool)
+	delete(requestOpts, "use_imagegen_runner")
+
 	opts, err := s.modelOptions(model, requestOpts)
 	if err != nil {
 		return nil, nil, nil, err
 	}
 
-	runnerCh, errCh := s.sched.GetRunner(ctx, model, opts, keepAlive)
+	runnerCh, errCh := s.sched.GetRunner(ctx, model, opts, keepAlive, useImagegen)
 	var runner *runnerRef
 	select {
 	case runner = <-runnerCh:
@@ -229,6 +238,11 @@ func (s *Server) GenerateHandler(c *gin.Context) {
 	}
 
 	if m.Config.RemoteHost != "" && m.Config.RemoteModel != "" {
+		if disabled, _ := internalcloud.Status(); disabled {
+			c.JSON(http.StatusForbidden, gin.H{"error": internalcloud.DisabledError(cloudErrRemoteInferenceUnavailable)})
+			return
+		}
+
 		origModel := req.Model
 
 		remoteURL, err := url.Parse(m.Config.RemoteHost)
@@ -1066,9 +1080,12 @@ func (s *Server) ShowHandler(c *gin.Context) {
 
 	resp, err := GetModelInfo(req)
 	if err != nil {
+		var statusErr api.StatusError
 		switch {
 		case os.IsNotExist(err):
 			c.JSON(http.StatusNotFound, gin.H{"error": fmt.Sprintf("model '%s' not found", req.Model)})
+		case errors.As(err, &statusErr):
+			c.JSON(statusErr.StatusCode, gin.H{"error": statusErr.ErrorMessage})
 		case err.Error() == errtypes.InvalidModelNameErrMsg:
 			c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()})
 		default:
@@ -1095,6 +1112,15 @@ func GetModelInfo(req api.ShowRequest) (*api.ShowResponse, error) {
 		return nil, err
 	}
 
+	if m.Config.RemoteHost != "" {
+		if disabled, _ := internalcloud.Status(); disabled {
+			return nil, api.StatusError{
+				StatusCode:   http.StatusForbidden,
+				ErrorMessage: internalcloud.DisabledError(cloudErrRemoteModelDetailsUnavailable),
+			}
+		}
+	}
+
 	modelDetails := api.ModelDetails{
 		ParentModel:       m.ParentModel,
 		Format:            m.Config.ModelFormat,
@@ -1571,6 +1597,7 @@ func (s *Server) GenerateRoutes(rc *ollama.Registry) (http.Handler, error) {
 	r.GET("/", func(c *gin.Context) { c.String(http.StatusOK, "Ollama is running") })
 	r.HEAD("/api/version", func(c *gin.Context) { c.JSON(http.StatusOK, gin.H{"version": version.Version}) })
 	r.GET("/api/version", func(c *gin.Context) { c.JSON(http.StatusOK, gin.H{"version": version.Version}) })
+	r.GET("/api/status", s.StatusHandler)
 
 	// Local model cache management (new implementation is at end of function)
 	r.POST("/api/pull", s.PullHandler)
@@ -1634,6 +1661,8 @@ func (s *Server) GenerateRoutes(rc *ollama.Registry) (http.Handler, error) {
 func Serve(ln net.Listener) error {
 	slog.SetDefault(logutil.NewLogger(os.Stderr, envconfig.LogLevel()))
 	slog.Info("server config", "env", envconfig.Values())
+	cloudDisabled, _ := internalcloud.Status()
+	slog.Info(fmt.Sprintf("Ollama cloud disabled: %t", cloudDisabled))
 
 	blobsDir, err := manifest.BlobsPath("")
 	if err != nil {
@@ -1824,6 +1853,16 @@ func streamResponse(c *gin.Context, ch chan any) {
 	})
 }
 
+func (s *Server) StatusHandler(c *gin.Context) {
+	disabled, source := internalcloud.Status()
+	c.JSON(http.StatusOK, api.StatusResponse{
+		Cloud: api.CloudStatus{
+			Disabled: disabled,
+			Source:   source,
+		},
+	})
+}
+
 func (s *Server) WhoamiHandler(c *gin.Context) {
 	// todo allow other hosts
 	u, err := url.Parse("https://ollama.com")
@@ -2010,6 +2049,11 @@ func (s *Server) ChatHandler(c *gin.Context) {
 	}
 
 	if m.Config.RemoteHost != "" && m.Config.RemoteModel != "" {
+		if disabled, _ := internalcloud.Status(); disabled {
+			c.JSON(http.StatusForbidden, gin.H{"error": internalcloud.DisabledError(cloudErrRemoteInferenceUnavailable)})
+			return
+		}
+
 		origModel := req.Model
 
 		remoteURL, err := url.Parse(m.Config.RemoteHost)

server/routes_aliases_test.go

@@ -5,6 +5,7 @@ import (
 	"net/http"
 	"net/http/httptest"
 	"net/url"
+	"os"
 	"path/filepath"
 	"testing"
 
@@ -16,7 +17,7 @@ import (
 
 func TestAliasShadowingRejected(t *testing.T) {
 	gin.SetMode(gin.TestMode)
-	t.Setenv("HOME", t.TempDir())
+	setTestHome(t, t.TempDir())
 
 	s := Server{}
 	w := createRequest(t, s.CreateHandler, api.CreateRequest{
@@ -40,7 +41,7 @@ func TestAliasShadowingRejected(t *testing.T) {
 
 func TestAliasResolvesForChatRemote(t *testing.T) {
 	gin.SetMode(gin.TestMode)
-	t.Setenv("HOME", t.TempDir())
+	setTestHome(t, t.TempDir())
 
 	var remoteModel string
 	rs := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
@@ -256,7 +257,7 @@ func TestPrefixAliasChain(t *testing.T) {
 
 func TestPrefixAliasCRUD(t *testing.T) {
 	gin.SetMode(gin.TestMode)
-	t.Setenv("HOME", t.TempDir())
+	setTestHome(t, t.TempDir())
 
 	s := Server{}
 
@@ -364,7 +365,7 @@ func TestPrefixAliasCaseInsensitive(t *testing.T) {
 
 func TestPrefixAliasLocalModelPrecedence(t *testing.T) {
 	gin.SetMode(gin.TestMode)
-	t.Setenv("HOME", t.TempDir())
+	setTestHome(t, t.TempDir())
 
 	s := Server{}
 
@@ -424,3 +425,51 @@ func TestPrefixAliasLocalModelPrecedence(t *testing.T) {
 		t.Fatalf("expected resolved name to be %q, got %q", expectedTarget.DisplayShortest(), resolved.DisplayShortest())
 	}
 }
+
+func TestAliasSavePreservesCloudDisable(t *testing.T) {
+	gin.SetMode(gin.TestMode)
+	tmpDir := t.TempDir()
+	setTestHome(t, tmpDir)
+
+	configPath := filepath.Join(tmpDir, ".ollama", "server.json")
+	if err := os.MkdirAll(filepath.Dir(configPath), 0o755); err != nil {
+		t.Fatal(err)
+	}
+
+	initial := map[string]any{
+		"version":              serverConfigVersion,
+		"disable_ollama_cloud": true,
+		"aliases":              []aliasEntry{},
+	}
+	data, err := json.Marshal(initial)
+	if err != nil {
+		t.Fatal(err)
+	}
+	if err := os.WriteFile(configPath, data, 0o644); err != nil {
+		t.Fatal(err)
+	}
+
+	s := Server{}
+	w := createRequest(t, s.CreateAliasHandler, aliasEntry{Alias: "alias-model", Target: "target-model"})
+	if w.Code != http.StatusOK {
+		t.Fatalf("expected status 200, got %d: %s", w.Code, w.Body.String())
+	}
+
+	updated, err := os.ReadFile(configPath)
+	if err != nil {
+		t.Fatal(err)
+	}
+
+	var updatedCfg map[string]json.RawMessage
+	if err := json.Unmarshal(updated, &updatedCfg); err != nil {
+		t.Fatal(err)
+	}
+
+	raw, ok := updatedCfg["disable_ollama_cloud"]
+	if !ok {
+		t.Fatal("expected disable_ollama_cloud key to be preserved")
+	}
+	if string(raw) != "true" {
+		t.Fatalf("expected disable_ollama_cloud to remain true, got %s", string(raw))
+	}
+}

server/routes_cloud_test.go

@@ -0,0 +1,94 @@
+package server
+
+import (
+	"encoding/json"
+	"net/http"
+	"testing"
+
+	"github.com/gin-gonic/gin"
+	"github.com/ollama/ollama/api"
+	internalcloud "github.com/ollama/ollama/internal/cloud"
+)
+
+func TestStatusHandler(t *testing.T) {
+	gin.SetMode(gin.TestMode)
+	setTestHome(t, t.TempDir())
+	t.Setenv("OLLAMA_NO_CLOUD", "1")
+
+	s := Server{}
+	w := createRequest(t, s.StatusHandler, nil)
+	if w.Code != http.StatusOK {
+		t.Fatalf("expected status 200, got %d", w.Code)
+	}
+
+	var resp api.StatusResponse
+	if err := json.NewDecoder(w.Body).Decode(&resp); err != nil {
+		t.Fatal(err)
+	}
+
+	if !resp.Cloud.Disabled {
+		t.Fatalf("expected cloud.disabled true, got false")
+	}
+	if resp.Cloud.Source != "env" {
+		t.Fatalf("expected cloud.source env, got %q", resp.Cloud.Source)
+	}
+}
+
+func TestCloudDisabledBlocksRemoteOperations(t *testing.T) {
+	gin.SetMode(gin.TestMode)
+	setTestHome(t, t.TempDir())
+	t.Setenv("OLLAMA_NO_CLOUD", "1")
+
+	s := Server{}
+
+	w := createRequest(t, s.CreateHandler, api.CreateRequest{
+		Model:      "test-cloud",
+		RemoteHost: "example.com",
+		From:       "test",
+		Info: map[string]any{
+			"capabilities": []string{"completion"},
+		},
+		Stream: &stream,
+	})
+	if w.Code != http.StatusOK {
+		t.Fatalf("expected status 200, got %d", w.Code)
+	}
+
+	t.Run("chat remote blocked", func(t *testing.T) {
+		w := createRequest(t, s.ChatHandler, api.ChatRequest{
+			Model:    "test-cloud",
+			Messages: []api.Message{{Role: "user", Content: "hi"}},
+		})
+		if w.Code != http.StatusForbidden {
+			t.Fatalf("expected status 403, got %d", w.Code)
+		}
+		if got := w.Body.String(); got != `{"error":"`+internalcloud.DisabledError(cloudErrRemoteInferenceUnavailable)+`"}` {
+			t.Fatalf("unexpected response: %s", got)
+		}
+	})
+
+	t.Run("generate remote blocked", func(t *testing.T) {
+		w := createRequest(t, s.GenerateHandler, api.GenerateRequest{
+			Model:  "test-cloud",
+			Prompt: "hi",
+		})
+		if w.Code != http.StatusForbidden {
+			t.Fatalf("expected status 403, got %d", w.Code)
+		}
+		if got := w.Body.String(); got != `{"error":"`+internalcloud.DisabledError(cloudErrRemoteInferenceUnavailable)+`"}` {
+			t.Fatalf("unexpected response: %s", got)
+		}
+	})
+
+	t.Run("show remote blocked", func(t *testing.T) {
+		w := createRequest(t, s.ShowHandler, api.ShowRequest{
+			Model: "test-cloud",
+		})
+		if w.Code != http.StatusForbidden {
+			t.Fatalf("expected status 403, got %d", w.Code)
+		}
+		if got := w.Body.String(); got != `{"error":"`+internalcloud.DisabledError(cloudErrRemoteModelDetailsUnavailable)+`"}` {
+			t.Fatalf("unexpected response: %s", got)
+		}
+	})
+}

server/routes_generate_test.go

@@ -2383,6 +2383,7 @@ func TestImageGenerateStreamFalse(t *testing.T) {
 					llama:       &mock,
 					Options:     &opts,
 					model:       &Model{Config: model.ConfigV2{Capabilities: []string{"image"}}},
+					isImagegen:  true,
 					numParallel: 1,
 				},
 			},

server/sched.go

@@ -22,6 +22,7 @@ import (
 	"github.com/ollama/ollama/ml"
 	"github.com/ollama/ollama/types/model"
 	"github.com/ollama/ollama/x/imagegen"
+	"github.com/ollama/ollama/x/mlxrunner"
 )
 
 type LlmRequest struct {
@@ -32,6 +33,7 @@ type LlmRequest struct {
 	successCh       chan *runnerRef
 	errCh           chan error
 	schedAttempts   uint
+	useImagegen     bool
 }
 
 type Scheduler struct {
@@ -82,7 +84,7 @@ func InitScheduler(ctx context.Context) *Scheduler {
 }
 
 // context must be canceled to decrement ref count and release the runner
-func (s *Scheduler) GetRunner(c context.Context, m *Model, opts api.Options, sessionDuration *api.Duration) (chan *runnerRef, chan error) {
+func (s *Scheduler) GetRunner(c context.Context, m *Model, opts api.Options, sessionDuration *api.Duration, useImagegen bool) (chan *runnerRef, chan error) {
 	if opts.NumCtx < 4 {
 		opts.NumCtx = 4
 	}
@@ -99,6 +101,7 @@ func (s *Scheduler) GetRunner(c context.Context, m *Model, opts api.Options, ses
 		sessionDuration: sessionDuration,
 		successCh:       make(chan *runnerRef, 1),
 		errCh:           make(chan error, 1),
+		useImagegen:     useImagegen,
 	}
 
 	s.loadedMu.Lock()
@@ -566,17 +569,20 @@ iGPUScan:
 // loadMLX loads an experimental safetensors model using the unified MLX runner.
 // This supports both LLM (completion) and image generation models.
 func (s *Scheduler) loadMLX(req *LlmRequest) bool {
-	// Determine mode based on capabilities
-	var mode imagegen.ModelMode
-	if slices.Contains(req.model.Config.Capabilities, "image") {
-		mode = imagegen.ModeImageGen
-	} else {
-		mode = imagegen.ModeLLM
-	}
-
-	// Use model name for MLX (it resolves manifests by name, not file path)
 	modelName := req.model.ShortName
-	server, err := imagegen.NewServer(modelName, mode)
+	var server llm.LlamaServer
+	var err error
+
+	isImagegen := false
+	if slices.Contains(req.model.Config.Capabilities, "image") {
+		server, err = imagegen.NewServer(modelName, imagegen.ModeImageGen)
+		isImagegen = true
+	} else if req.useImagegen {
+		server, err = imagegen.NewServer(modelName, imagegen.ModeLLM)
+		isImagegen = true
+	} else {
+		server, err = mlxrunner.NewClient(modelName)
+	}
 	if err != nil {
 		req.errCh <- err
 		return true
@@ -593,6 +599,7 @@ func (s *Scheduler) loadMLX(req *LlmRequest) bool {
 		llama:           server,
 		Options:         &req.opts,
 		loading:         false,
+		isImagegen:      isImagegen,
 		sessionDuration: sessionDuration,
 		totalSize:       server.TotalSize(),
 		vramSize:        server.VRAMSize(),
@@ -667,6 +674,7 @@ type runnerRef struct {
 	loading      bool          // True only during initial load, then false forever
 	gpus         []ml.DeviceID // Recorded at time of provisioning
 	discreteGPUs bool          // True if all devices are discrete GPUs - used to skip VRAM recovery check for iGPUs
+	isImagegen   bool          // True if loaded via imagegen runner (vs mlxrunner)
 	vramSize     uint64
 	totalSize    uint64
 
@@ -699,6 +707,12 @@ func (runner *runnerRef) needsReload(ctx context.Context, req *LlmRequest) bool
 	runner.refMu.Lock()
 	defer runner.refMu.Unlock()
 
+	// Check if runner type (imagegen vs mlxrunner) matches what's requested
+	wantImagegen := req.useImagegen || slices.Contains(req.model.Config.Capabilities, "image")
+	if runner.isImagegen != wantImagegen {
+		return true
+	}
+
 	timeout := 10 * time.Second
 	if runner.loading {
 		timeout = 2 * time.Minute // Initial load can take a long time for big models on slow systems...

server/sched_test.go

@@ -408,10 +408,10 @@ func TestSchedGetRunner(t *testing.T) {
 	s.getSystemInfoFn = getSystemInfoFn
 	s.newServerFn = a.newServer
 	slog.Info("a")
-	successCh1a, errCh1a := s.GetRunner(a.ctx, a.req.model, a.req.opts, a.req.sessionDuration)
+	successCh1a, errCh1a := s.GetRunner(a.ctx, a.req.model, a.req.opts, a.req.sessionDuration, false)
 	require.Len(t, s.pendingReqCh, 1)
 	slog.Info("b")
-	successCh1b, errCh1b := s.GetRunner(b.ctx, b.req.model, b.req.opts, b.req.sessionDuration)
+	successCh1b, errCh1b := s.GetRunner(b.ctx, b.req.model, b.req.opts, b.req.sessionDuration, false)
 	require.Len(t, s.pendingReqCh, 1)
 	require.Empty(t, successCh1b)
 	require.Len(t, errCh1b, 1)
@@ -435,7 +435,7 @@ func TestSchedGetRunner(t *testing.T) {
 
 	c.req.model.ModelPath = "bad path"
 	slog.Info("c")
-	successCh1c, errCh1c := s.GetRunner(c.ctx, c.req.model, c.req.opts, c.req.sessionDuration)
+	successCh1c, errCh1c := s.GetRunner(c.ctx, c.req.model, c.req.opts, c.req.sessionDuration, false)
 	// Starts in pending channel, then should be quickly processed to return an error
 	time.Sleep(50 * time.Millisecond) // Long enough for the "a" model to expire and unload
 	require.Empty(t, successCh1c)
@@ -509,7 +509,7 @@ func TestSchedPrematureExpired(t *testing.T) {
 	s.getGpuFn = getGpuFn
 	s.getSystemInfoFn = getSystemInfoFn
 	s.newServerFn = scenario1a.newServer
-	successCh1a, errCh1a := s.GetRunner(scenario1a.ctx, scenario1a.req.model, scenario1a.req.opts, scenario1a.req.sessionDuration)
+	successCh1a, errCh1a := s.GetRunner(scenario1a.ctx, scenario1a.req.model, scenario1a.req.opts, scenario1a.req.sessionDuration, false)
 	require.Len(t, s.pendingReqCh, 1)
 	s.Run(ctx)
 	select {

server/test_home_test.go

@@ -0,0 +1,14 @@
+package server
+
+import (
+	"testing"
+
+	"github.com/ollama/ollama/envconfig"
+)
+
+func setTestHome(t *testing.T, home string) {
+	t.Helper()
+	t.Setenv("HOME", home)
+	t.Setenv("USERPROFILE", home)
+	envconfig.ReloadServerConfig()
+}

x/cmd/run.go

@@ -6,6 +6,7 @@ import (
 	"errors"
 	"fmt"
 	"io"
+	"net/http"
 	"net/url"
 	"os"
 	"os/signal"
@@ -18,6 +19,7 @@ import (
 	"golang.org/x/term"
 
 	"github.com/ollama/ollama/api"
+	internalcloud "github.com/ollama/ollama/internal/cloud"
 	"github.com/ollama/ollama/progress"
 	"github.com/ollama/ollama/readline"
 	"github.com/ollama/ollama/types/model"
@@ -62,6 +64,18 @@ func isLocalServer() bool {
 	return hostname == "localhost" || hostname == "127.0.0.1" || strings.Contains(parsed.Host, ":11434")
 }
 
+func cloudStatusDisabled(ctx context.Context, client *api.Client) (disabled bool, known bool) {
+	status, err := client.CloudStatusExperimental(ctx)
+	if err != nil {
+		var statusErr api.StatusError
+		if errors.As(err, &statusErr) && statusErr.StatusCode == http.StatusNotFound {
+			return false, false
+		}
+		return false, false
+	}
+	return status.Cloud.Disabled, true
+}
+
 // truncateToolOutput truncates tool output to prevent context overflow.
 // Uses a smaller limit (4k tokens) for local models, larger (10k) for cloud/remote.
 func truncateToolOutput(output, modelName string) string {
@@ -86,6 +100,10 @@ func waitForOllamaSignin(ctx context.Context) error {
 		return err
 	}
 
+	if disabled, known := cloudStatusDisabled(ctx, client); known && disabled {
+		return errors.New(internalcloud.DisabledError("cloud account endpoints are unavailable"))
+	}
+
 	// Get signin URL from initial Whoami call
 	_, err = client.Whoami(ctx)
 	if err != nil {
@@ -664,6 +682,15 @@ func GenerateInteractive(cmd *cobra.Command, modelName string, wordWrap bool, op
 		supportsTools = false
 	}
 
+	if enableWebsearch {
+		if client, err := api.ClientFromEnvironment(); err == nil {
+			if disabled, known := cloudStatusDisabled(cmd.Context(), client); known && disabled {
+				fmt.Fprintf(os.Stderr, "%s\n", internalcloud.DisabledError("web search is unavailable"))
+				enableWebsearch = false
+			}
+		}
+	}
+
 	// Create tool registry only if model supports tools
 	var toolRegistry *tools.Registry
 	if supportsTools {

x/create/client/create.go

@@ -19,6 +19,7 @@ import (
 	"github.com/ollama/ollama/progress"
 	"github.com/ollama/ollama/types/model"
 	"github.com/ollama/ollama/x/create"
+	"github.com/ollama/ollama/x/imagegen/safetensors"
 )
 
 // MinOllamaVersion is the minimum Ollama version required for safetensors models.
@@ -35,7 +36,7 @@ type ModelfileConfig struct {
 type CreateOptions struct {
 	ModelName string
 	ModelDir  string
-	Quantize  string           // "q4", "q8", "nvfp4", or "mxfp8" for quantization
+	Quantize  string           // "int4", "int8", "nvfp4", or "mxfp8" for quantization
 	Modelfile *ModelfileConfig // template/system/license from Modelfile
 }
 
@@ -94,6 +95,7 @@ func CreateModel(opts CreateOptions, p *progress.Progress) error {
 			newLayerCreator(), newTensorLayerCreator(),
 			newManifestWriter(opts, capabilities, parserName, rendererName),
 			progressFn,
+			newPackedTensorLayerCreator(),
 		)
 	} else {
 		err = create.CreateImageGenModel(
@@ -141,60 +143,33 @@ func newTensorLayerCreator() create.QuantizingTensorLayerCreator {
 	}
 }
 
-// createQuantizedLayers quantizes a tensor and returns the resulting layers.
+// createQuantizedLayers quantizes a tensor and returns a single combined layer.
+// The combined blob contains data, scale, and optional bias tensors with metadata.
 func createQuantizedLayers(r io.Reader, name, dtype string, shape []int32, quantize string) ([]create.LayerInfo, error) {
 	if !QuantizeSupported() {
 		return nil, fmt.Errorf("quantization requires MLX support")
 	}
 
-	// Quantize the tensor
-	qweightData, scalesData, qbiasData, _, _, _, err := quantizeTensor(r, name, dtype, shape, quantize)
+	// Quantize the tensor into a single combined blob
+	blobData, err := quantizeTensor(r, name, dtype, shape, quantize)
 	if err != nil {
 		return nil, fmt.Errorf("failed to quantize %s: %w", name, err)
 	}
 
-	// Create layer for quantized weight
-	weightLayer, err := manifest.NewLayer(bytes.NewReader(qweightData), manifest.MediaTypeImageTensor)
+	// Create single layer for the combined blob
+	layer, err := manifest.NewLayer(bytes.NewReader(blobData), manifest.MediaTypeImageTensor)
 	if err != nil {
 		return nil, err
 	}
 
-	// Create layer for scales
-	scalesLayer, err := manifest.NewLayer(bytes.NewReader(scalesData), manifest.MediaTypeImageTensor)
-	if err != nil {
-		return nil, err
-	}
-
-	layers := []create.LayerInfo{
+	return []create.LayerInfo{
 		{
-			Digest:    weightLayer.Digest,
-			Size:      weightLayer.Size,
-			MediaType: weightLayer.MediaType,
+			Digest:    layer.Digest,
+			Size:      layer.Size,
+			MediaType: layer.MediaType,
 			Name:      name,
 		},
-		{
-			Digest:    scalesLayer.Digest,
-			Size:      scalesLayer.Size,
-			MediaType: scalesLayer.MediaType,
-			Name:      name + "_scale",
-		},
-	}
-
-	// Add qbiases layer if present (affine mode)
-	if qbiasData != nil {
-		qbiasLayer, err := manifest.NewLayer(bytes.NewReader(qbiasData), manifest.MediaTypeImageTensor)
-		if err != nil {
-			return nil, err
-		}
-		layers = append(layers, create.LayerInfo{
-			Digest:    qbiasLayer.Digest,
-			Size:      qbiasLayer.Size,
-			MediaType: qbiasLayer.MediaType,
-			Name:      name + "_qbias",
-		})
-	}
-
-	return layers, nil
+	}, nil
 }
 
 // createUnquantizedLayer creates a single tensor layer without quantization.
@@ -214,6 +189,58 @@ func createUnquantizedLayer(r io.Reader, name string) ([]create.LayerInfo, error
 	}, nil
 }
 
+// newPackedTensorLayerCreator returns a PackedTensorLayerCreator callback for
+// creating packed multi-tensor blob layers (used for expert groups).
+func newPackedTensorLayerCreator() create.PackedTensorLayerCreator {
+	return func(groupName string, tensors []create.PackedTensorInput) (create.LayerInfo, error) {
+		// Check if any tensor in the group needs quantization
+		hasQuantize := false
+		for _, t := range tensors {
+			if t.Quantize != "" {
+				hasQuantize = true
+				break
+			}
+		}
+
+		var blobReader io.Reader
+		if hasQuantize {
+			if !QuantizeSupported() {
+				return create.LayerInfo{}, fmt.Errorf("quantization requires MLX support")
+			}
+			blobData, err := quantizePackedGroup(tensors)
+			if err != nil {
+				return create.LayerInfo{}, fmt.Errorf("failed to quantize packed group %s: %w", groupName, err)
+			}
+			blobReader = bytes.NewReader(blobData)
+		} else {
+			// Build unquantized packed blob using streaming reader
+			// Extract raw tensor data from safetensors-wrapped readers
+			var tds []*safetensors.TensorData
+			for _, t := range tensors {
+				rawData, err := safetensors.ExtractRawFromSafetensors(t.Reader)
+				if err != nil {
+					return create.LayerInfo{}, fmt.Errorf("failed to extract tensor %s: %w", t.Name, err)
+				}
+				td := safetensors.NewTensorDataFromBytes(t.Name, t.Dtype, t.Shape, rawData)
+				tds = append(tds, td)
+			}
+			blobReader = safetensors.BuildPackedSafetensorsReader(tds)
+		}
+
+		layer, err := manifest.NewLayer(blobReader, manifest.MediaTypeImageTensor)
+		if err != nil {
+			return create.LayerInfo{}, err
+		}
+
+		return create.LayerInfo{
+			Digest:    layer.Digest,
+			Size:      layer.Size,
+			MediaType: layer.MediaType,
+			Name:      groupName,
+		}, nil
+	}
+}
+
 // newManifestWriter returns a ManifestWriter callback for writing the model manifest.
 func newManifestWriter(opts CreateOptions, capabilities []string, parserName, rendererName string) create.ManifestWriter {
 	return func(modelName string, config create.LayerInfo, layers []create.LayerInfo) error {

x/create/client/quantize.go

@@ -3,128 +3,195 @@
 package client
 
 import (
+	"encoding/binary"
+	"encoding/json"
 	"fmt"
 	"io"
 	"os"
 	"path/filepath"
+	"strconv"
 
+	"github.com/ollama/ollama/x/create"
 	"github.com/ollama/ollama/x/imagegen/mlx"
 )
 
-// quantizeTensor loads a tensor from safetensors format, quantizes it,
-// and returns safetensors data for the quantized weights, scales, and biases.
-// Supported quantization types:
-//   - "q4": affine 4-bit, group_size=32 (with qbiases)
-//   - "nvfp4": NVIDIA FP4, group_size=16 (no qbiases, E4M3 scales)
-//   - "q8": affine 8-bit, group_size=64 (with qbiases)
-//   - "mxfp8": Microsoft MX FP8, group_size=32 (no qbiases, E4M3 scales)
-// Uses MLX's native SaveSafetensors to ensure correct dtype handling (especially uint32 for quantized weights).
-func quantizeTensor(r io.Reader, name, dtype string, shape []int32, quantize string) (qweightData, scalesData, qbiasData []byte, qweightShape, scalesShape, qbiasShape []int32, err error) {
+// quantizeParams maps quantization type names to MLX quantize parameters.
+var quantizeParams = map[string]struct {
+	groupSize int
+	bits      int
+	mode      string
+}{
+	"int4":  {32, 4, "affine"},
+	"nvfp4": {16, 4, "nvfp4"},
+	"int8":  {64, 8, "affine"},
+	"mxfp8": {32, 8, "mxfp8"},
+}
+
+// loadAndQuantizeArray writes a safetensors reader to a temp file, loads it with MLX,
+// quantizes the tensor, and appends the resulting arrays (weight, scale, optional bias)
+// to the provided maps. If quantize is empty, the tensor is kept as-is.
+// Returns any temp file paths created (caller must clean up) and arrays needing eval.
+func loadAndQuantizeArray(r io.Reader, name, quantize string, arrays map[string]*mlx.Array) (tmpPath string, toEval []*mlx.Array, nativeHandle *mlx.SafetensorsFile, err error) {
 	tmpDir := ensureTempDir()
 
-	// Read safetensors data to a temp file (LoadSafetensorsNative needs a path)
-	tmpFile, err := os.CreateTemp(tmpDir, "quant-input-*.safetensors")
+	tmpFile, err := os.CreateTemp(tmpDir, "quant-*.safetensors")
 	if err != nil {
-		return nil, nil, nil, nil, nil, nil, fmt.Errorf("failed to create temp file: %w", err)
+		return "", nil, nil, fmt.Errorf("failed to create temp file: %w", err)
 	}
-	tmpPath := tmpFile.Name()
-	defer os.Remove(tmpPath)
+	tmpPath = tmpFile.Name()
 
 	if _, err := io.Copy(tmpFile, r); err != nil {
 		tmpFile.Close()
-		return nil, nil, nil, nil, nil, nil, fmt.Errorf("failed to write temp file: %w", err)
+		return tmpPath, nil, nil, fmt.Errorf("failed to write temp file for %s: %w", name, err)
 	}
 	tmpFile.Close()
 
-	// Load the tensor using MLX's native loader
 	st, err := mlx.LoadSafetensorsNative(tmpPath)
 	if err != nil {
-		return nil, nil, nil, nil, nil, nil, fmt.Errorf("failed to load safetensors: %w", err)
+		return tmpPath, nil, nil, fmt.Errorf("failed to load safetensors for %s: %w", name, err)
 	}
-	defer st.Free()
 
-	// Get the tensor (it's stored as "data" in our minimal safetensors format)
-	arr := st.Get("data")
+	// Find the tensor key (may differ from name for single-tensor blobs)
+	inputKey, err := findSafetensorsKey(tmpPath)
+	if err != nil {
+		st.Free()
+		return tmpPath, nil, nil, fmt.Errorf("failed to read blob header for %s: %w", name, err)
+	}
+
+	arr := st.Get(inputKey)
 	if arr == nil {
-		return nil, nil, nil, nil, nil, nil, fmt.Errorf("tensor 'data' not found in safetensors")
+		st.Free()
+		return tmpPath, nil, nil, fmt.Errorf("tensor %q not found in safetensors", inputKey)
 	}
 
-	// Convert to BFloat16 if needed (quantize expects float type)
+	if quantize == "" {
+		arr = mlx.Contiguous(arr)
+		arrays[name] = arr
+		return tmpPath, []*mlx.Array{arr}, st, nil
+	}
+
+	// Convert to float type if needed (quantize expects float)
 	if arr.Dtype() != mlx.DtypeBFloat16 && arr.Dtype() != mlx.DtypeFloat32 && arr.Dtype() != mlx.DtypeFloat16 {
 		arr = mlx.AsType(arr, mlx.DtypeBFloat16)
 		mlx.Eval(arr)
 	}
 
-	// Quantize based on quantization type
-	var qweight, scales, qbiases *mlx.Array
-	switch quantize {
-	case "q4":
-		// affine mode: group_size=32, bits=4 (with qbiases for zero-point offset)
-		qweight, scales, qbiases = mlx.Quantize(arr, 32, 4, "affine")
-	case "nvfp4":
-		// NVIDIA FP4: group_size=16, bits=4 (no qbiases, E4M3 scales)
-		qweight, scales, qbiases = mlx.Quantize(arr, 16, 4, "nvfp4")
-	case "q8":
-		// affine mode: group_size=64, bits=8 (with qbiases for zero-point offset)
-		qweight, scales, qbiases = mlx.Quantize(arr, 64, 8, "affine")
-	case "mxfp8":
-		// Microsoft MX FP8: group_size=32, bits=8, E4M3 scales (no qbiases)
-		qweight, scales, qbiases = mlx.Quantize(arr, 32, 8, "mxfp8")
-	default:
-		return nil, nil, nil, nil, nil, nil, fmt.Errorf("unsupported quantization type: %s", quantize)
+	params, ok := quantizeParams[quantize]
+	if !ok {
+		st.Free()
+		return tmpPath, nil, nil, fmt.Errorf("unsupported quantization type: %s", quantize)
 	}
 
-	// Eval and make contiguous for data access
+	qweight, scales, qbiases := mlx.Quantize(arr, params.groupSize, params.bits, params.mode)
+
 	qweight = mlx.Contiguous(qweight)
 	scales = mlx.Contiguous(scales)
+	arrays[name] = qweight
+	arrays[name+".scale"] = scales
+	toEval = append(toEval, qweight, scales)
+
 	if qbiases != nil {
 		qbiases = mlx.Contiguous(qbiases)
-		mlx.Eval(qweight, scales, qbiases)
-	} else {
-		mlx.Eval(qweight, scales)
+		arrays[name+".bias"] = qbiases
+		toEval = append(toEval, qbiases)
 	}
 
-	// Get shapes
-	qweightShape = qweight.Shape()
-	scalesShape = scales.Shape()
+	return tmpPath, toEval, st, nil
+}
 
-	// Save quantized weight using MLX's native safetensors (correctly handles uint32 dtype)
-	qweightPath := filepath.Join(tmpDir, "qweight.safetensors")
-	defer os.Remove(qweightPath)
-	if err := mlx.SaveSafetensors(qweightPath, map[string]*mlx.Array{"data": qweight}); err != nil {
-		return nil, nil, nil, nil, nil, nil, fmt.Errorf("failed to save quantized weight: %w", err)
+// quantizeTensor loads a tensor from safetensors format, quantizes it,
+// and returns a single combined safetensors blob with the quantized weight, scale, and optional bias.
+// Tensor keys use the original tensor name: name, name.scale, name.bias.
+// The blob includes __metadata__ with quant_type and group_size.
+// Supported quantization types: "int4", "nvfp4", "int8", "mxfp8".
+func quantizeTensor(r io.Reader, tensorName, dtype string, shape []int32, quantize string) (blobData []byte, err error) {
+	arrays := make(map[string]*mlx.Array)
+	tmpPath, toEval, st, err := loadAndQuantizeArray(r, tensorName, quantize, arrays)
+	if tmpPath != "" {
+		defer os.Remove(tmpPath)
+	}
+	if st != nil {
+		defer st.Free()
 	}
-	qweightData, err = os.ReadFile(qweightPath)
 	if err != nil {
-		return nil, nil, nil, nil, nil, nil, fmt.Errorf("failed to read quantized weight: %w", err)
+		return nil, err
 	}
 
-	// Save scales using MLX's native safetensors
-	scalesPath := filepath.Join(tmpDir, "scales.safetensors")
-	defer os.Remove(scalesPath)
-	if err := mlx.SaveSafetensors(scalesPath, map[string]*mlx.Array{"data": scales}); err != nil {
-		return nil, nil, nil, nil, nil, nil, fmt.Errorf("failed to save scales: %w", err)
-	}
-	scalesData, err = os.ReadFile(scalesPath)
-	if err != nil {
-		return nil, nil, nil, nil, nil, nil, fmt.Errorf("failed to read scales: %w", err)
+	mlx.Eval(toEval...)
+
+	// Build metadata for single-tensor blobs
+	params := quantizeParams[quantize]
+	metadata := map[string]string{
+		"quant_type": quantize,
+		"group_size": strconv.Itoa(params.groupSize),
 	}
 
-	// Affine mode returns qbiases for zero-point offset
-	if qbiases != nil {
-		qbiasShape = qbiases.Shape()
-		qbiasPath := filepath.Join(tmpDir, "qbias.safetensors")
-		defer os.Remove(qbiasPath)
-		if err := mlx.SaveSafetensors(qbiasPath, map[string]*mlx.Array{"data": qbiases}); err != nil {
-			return nil, nil, nil, nil, nil, nil, fmt.Errorf("failed to save qbiases: %w", err)
+	tmpDir := ensureTempDir()
+	outPath := filepath.Join(tmpDir, "combined.safetensors")
+	defer os.Remove(outPath)
+	if err := mlx.SaveSafetensorsWithMetadata(outPath, arrays, metadata); err != nil {
+		return nil, fmt.Errorf("failed to save combined blob: %w", err)
+	}
+	return os.ReadFile(outPath)
+}
+
+// quantizePackedGroup quantizes multiple tensors and saves them all into a single
+// combined safetensors blob. Used for packing expert groups.
+// Each tensor may have a different quantization type (mixed-precision).
+// Returns the blob bytes. No __metadata__ is added because different tensors
+// may use different quantization types.
+func quantizePackedGroup(inputs []create.PackedTensorInput) ([]byte, error) {
+	allArrays := make(map[string]*mlx.Array)
+	var allToEval []*mlx.Array
+	var tmpPaths []string
+	var handles []*mlx.SafetensorsFile
+
+	for _, input := range inputs {
+		tmpPath, toEval, st, err := loadAndQuantizeArray(input.Reader, input.Name, input.Quantize, allArrays)
+		if tmpPath != "" {
+			tmpPaths = append(tmpPaths, tmpPath)
+		}
+		if st != nil {
+			handles = append(handles, st)
 		}
-		qbiasData, err = os.ReadFile(qbiasPath)
 		if err != nil {
-			return nil, nil, nil, nil, nil, nil, fmt.Errorf("failed to read qbiases: %w", err)
+			// Cleanup on error
+			for _, h := range handles {
+				h.Free()
+			}
+			for _, p := range tmpPaths {
+				os.Remove(p)
+			}
+			return nil, err
 		}
+		allToEval = append(allToEval, toEval...)
 	}
 
-	return qweightData, scalesData, qbiasData, qweightShape, scalesShape, qbiasShape, nil
+	mlx.Eval(allToEval...)
+
+	// Free native handles after eval
+	for _, h := range handles {
+		h.Free()
+	}
+
+	// Save combined blob (no global metadata for mixed-precision packed blobs)
+	tmpDir := ensureTempDir()
+	outPath := filepath.Join(tmpDir, "packed-combined.safetensors")
+	defer os.Remove(outPath)
+	if err := mlx.SaveSafetensorsWithMetadata(outPath, allArrays, nil); err != nil {
+		return nil, fmt.Errorf("failed to save packed blob: %w", err)
+	}
+
+	blobData, err := os.ReadFile(outPath)
+	if err != nil {
+		return nil, fmt.Errorf("failed to read packed blob: %w", err)
+	}
+
+	for _, p := range tmpPaths {
+		os.Remove(p)
+	}
+
+	return blobData, nil
 }
 
 // QuantizeSupported returns true if quantization is supported (MLX build)
@@ -138,3 +205,33 @@ func ensureTempDir() string {
 	os.MkdirAll(tmpDir, 0755)
 	return tmpDir
 }
+
+// findSafetensorsKey reads the first non-metadata tensor key from a safetensors file.
+func findSafetensorsKey(path string) (string, error) {
+	f, err := os.Open(path)
+	if err != nil {
+		return "", err
+	}
+	defer f.Close()
+
+	var headerSize uint64
+	if err := binary.Read(f, binary.LittleEndian, &headerSize); err != nil {
+		return "", err
+	}
+	headerBytes := make([]byte, headerSize)
+	if _, err := io.ReadFull(f, headerBytes); err != nil {
+		return "", err
+	}
+
+	var header map[string]json.RawMessage
+	if err := json.Unmarshal(headerBytes, &header); err != nil {
+		return "", err
+	}
+
+	for k := range header {
+		if k != "__metadata__" {
+			return k, nil
+		}
+	}
+	return "", fmt.Errorf("no tensor found in safetensors header")
+}

x/create/client/quantize_stub.go

@@ -5,11 +5,18 @@ package client
 import (
 	"fmt"
 	"io"
+
+	"github.com/ollama/ollama/x/create"
 )
 
 // quantizeTensor is not available without MLX
-func quantizeTensor(r io.Reader, name, dtype string, shape []int32, quantize string) (qweightData, scalesData, qbiasData []byte, qweightShape, scalesShape, qbiasShape []int32, err error) {
-	return nil, nil, nil, nil, nil, nil, fmt.Errorf("quantization requires MLX support (build with mlx tag)")
+func quantizeTensor(r io.Reader, tensorName, dtype string, shape []int32, quantize string) (blobData []byte, err error) {
+	return nil, fmt.Errorf("quantization requires MLX support (build with mlx tag)")
+}
+
+// quantizePackedGroup is not available without MLX
+func quantizePackedGroup(inputs []create.PackedTensorInput) ([]byte, error) {
+	return nil, fmt.Errorf("quantization requires MLX support (build with mlx tag)")
 }
 
 // QuantizeSupported returns false when MLX is not available

x/create/create.go

@@ -6,7 +6,9 @@ import (
 	"io"
 	"os"
 	"path/filepath"
+	"regexp"
 	"slices"
+	"sort"
 	"strings"
 
 	"github.com/ollama/ollama/envconfig"
@@ -228,7 +230,7 @@ type LayerCreator func(r io.Reader, mediaType, name string) (LayerInfo, error)
 type TensorLayerCreator func(r io.Reader, name, dtype string, shape []int32) (LayerInfo, error)
 
 // QuantizingTensorLayerCreator creates tensor layers with optional quantization.
-// When quantize is non-empty (e.g., "q8"), returns multiple layers (weight + scales + biases).
+// When quantize is non-empty (e.g., "int8"), returns multiple layers (weight + scales + biases).
 type QuantizingTensorLayerCreator func(r io.Reader, name, dtype string, shape []int32, quantize string) ([]LayerInfo, error)
 
 // ManifestWriter writes the manifest file.
@@ -264,19 +266,19 @@ func ShouldQuantize(name, component string) bool {
 
 // ShouldQuantizeTensor returns true if a tensor should be quantized based on name, shape, and quantize type.
 // This is a more detailed check that also considers tensor dimensions.
-// The quantize parameter specifies the quantization type (e.g., "q4", "nvfp4", "q8", "mxfp8").
+// The quantize parameter specifies the quantization type (e.g., "int4", "nvfp4", "int8", "mxfp8").
 func ShouldQuantizeTensor(name string, shape []int32, quantize string) bool {
 	return GetTensorQuantization(name, shape, quantize) != ""
 }
 
 // normalizeQuantType converts various quantization type aliases to canonical forms.
-// Supports: q4/Q4/int4/INT4/fp4/FP4 -> q4, q8/Q8/int8/INT8/fp8/FP8 -> q8, nvfp4/NVFP4, mxfp8/MXFP8
+// Supports: q4/Q4/int4/INT4/fp4/FP4 -> int4, q8/Q8/int8/INT8/fp8/FP8 -> int8, nvfp4/NVFP4, mxfp8/MXFP8
 func normalizeQuantType(quantize string) string {
 	switch strings.ToUpper(quantize) {
 	case "Q4", "INT4", "FP4":
-		return "q4"
+		return "int4"
 	case "Q8", "INT8", "FP8":
-		return "q8"
+		return "int8"
 	case "NVFP4":
 		return "nvfp4"
 	case "MXFP8":
@@ -286,29 +288,12 @@ func normalizeQuantType(quantize string) string {
 	}
 }
 
-// getQuantGroupSize returns the group size for a given quantization type.
-// These must match the values used in quantize.go when creating quantized models.
-func getQuantGroupSize(quantize string) int {
-	switch normalizeQuantType(quantize) {
-	case "nvfp4":
-		return 16
-	case "q4":
-		return 32
-	case "mxfp8":
-		return 32
-	case "q8":
-		return 64
-	default:
-		return 32
-	}
-}
-
 // GetTensorQuantization returns the appropriate quantization type for a tensor.
 // Returns "" if the tensor should not be quantized.
 // This implements mixed-precision quantization:
 //   - Attention MLA weights (q_a, q_b, kv_a, kv_b): unquantized (most sensitive)
-//   - Output projection, gate/up weights: q4 (less sensitive)
-//   - Down projection weights: q8 (more sensitive, would be Q6 in GGML but no MLX kernel)
+//   - Output projection, gate/up weights: int4 (less sensitive)
+//   - Down projection weights: int8 (more sensitive, would be Q6 in GGML but no MLX kernel)
 //   - Norms, embeddings, biases, routing gates: no quantization
 func GetTensorQuantization(name string, shape []int32, quantize string) string {
 	// Use basic name-based check first
@@ -330,12 +315,12 @@ func GetTensorQuantization(name string, shape []int32, quantize string) string {
 	quantNorm := normalizeQuantType(quantize)
 
 	// MLX quantization requires last dimension to be divisible by group size
-	// nvfp4: 16, q4/mxfp8: 32, q8: 64
+	// nvfp4: 16, int4/mxfp8: 32, int8: 64
 	groupSize := int32(32)
 	switch quantNorm {
 	case "nvfp4":
 		groupSize = 16
-	case "q8":
+	case "int8":
 		groupSize = 64
 	}
 	if shape[len(shape)-1]%groupSize != 0 {
@@ -363,13 +348,13 @@ func GetTensorQuantization(name string, shape []int32, quantize string) string {
 		return "" // No quantization - keep bf16
 	}
 
-	// Down projection weights - use Q8 (would be Q6_K in GGML, but MLX has no Q6 kernel)
+	// Down projection weights - use INT8 (would be Q6_K in GGML, but MLX has no Q6 kernel)
 	// mlp.down_proj, mlp.experts.X.down_proj, mlp.shared_experts.down_proj
 	if strings.Contains(name, "down_proj") {
-		return "q8"
+		return "int8"
 	}
 
-	// Output projection, gate/up weights - use requested quantization (Q4)
+	// Output projection, gate/up weights - use requested quantization (INT4)
 	// o_proj, gate_proj, up_proj
 	if strings.Contains(name, "o_proj") ||
 		strings.Contains(name, "gate_proj") ||
@@ -386,14 +371,69 @@ func GetTensorQuantization(name string, shape []int32, quantize string) string {
 	return quantNorm
 }
 
+// expertGroupRegexp matches expert tensor names and captures the group prefix.
+// Matches: model.layers.{L}.mlp.experts.{E}.{proj}.weight (and .scale, .bias suffixes)
+// Captures: model.layers.{L}.mlp.experts
+var expertGroupRegexp = regexp.MustCompile(`^(model\.layers\.\d+\.mlp\.(?:shared_)?experts)\..*\.weight`)
+
+// ExpertGroupPrefix returns the group prefix for expert tensors that should be packed together.
+// For example:
+//   - "model.layers.1.mlp.experts.0.down_proj.weight" -> "model.layers.1.mlp.experts"
+//   - "model.layers.1.mlp.shared_experts.down_proj.weight" -> "model.layers.1.mlp.shared_experts"
+//   - "model.layers.0.mlp.down_proj.weight" -> "" (dense layer, no experts)
+//   - "model.layers.1.mlp.gate.weight" -> "" (routing gate, not an expert)
+func ExpertGroupPrefix(tensorName string) string {
+	m := expertGroupRegexp.FindStringSubmatch(tensorName)
+	if m == nil {
+		return ""
+	}
+	return m[1]
+}
+
+// PackedTensorInput holds metadata for a tensor that will be packed into a multi-tensor blob.
+type PackedTensorInput struct {
+	Name     string
+	Dtype    string
+	Shape    []int32
+	Quantize string    // per-tensor quantization type (may differ within group)
+	Reader   io.Reader // safetensors-wrapped tensor data
+}
+
+// PackedTensorLayerCreator creates a single blob layer containing multiple packed tensors.
+// groupName is the group prefix (e.g., "model.layers.1.mlp.experts").
+type PackedTensorLayerCreator func(groupName string, tensors []PackedTensorInput) (LayerInfo, error)
+
 // CreateSafetensorsModel imports a standard safetensors model from a directory.
 // This handles Hugging Face style models with config.json and *.safetensors files.
 // Stores each tensor as a separate blob for fine-grained deduplication.
-// If quantize is non-empty (e.g., "q8"), eligible tensors will be quantized.
-func CreateSafetensorsModel(modelName, modelDir, quantize string, createLayer LayerCreator, createTensorLayer QuantizingTensorLayerCreator, writeManifest ManifestWriter, fn func(status string)) error {
+// Expert tensors are packed into per-layer blobs when createPackedLayer is non-nil.
+// If quantize is non-empty (e.g., "int8"), eligible tensors will be quantized.
+func CreateSafetensorsModel(modelName, modelDir, quantize string, createLayer LayerCreator, createTensorLayer QuantizingTensorLayerCreator, writeManifest ManifestWriter, fn func(status string), createPackedLayer ...PackedTensorLayerCreator) error {
 	var layers []LayerInfo
 	var configLayer LayerInfo
 
+	// Resolve the optional packed layer creator
+	var packedCreator PackedTensorLayerCreator
+	if len(createPackedLayer) > 0 {
+		packedCreator = createPackedLayer[0]
+	}
+
+	// Accumulate expert tensors by group prefix for packing.
+	// Readers reference file-backed SectionReaders, so we keep extractors
+	// open until each group is flushed to avoid buffering tensor data in memory.
+	expertGroups := make(map[string][]PackedTensorInput)
+	var expertGroupOrder []string
+
+	// Track open extractors so we can close them after flushing groups
+	var openExtractors []*safetensors.TensorExtractor
+
+	closeExtractors := func() {
+		for _, ext := range openExtractors {
+			ext.Close()
+		}
+		openExtractors = nil
+	}
+
 	entries, err := os.ReadDir(modelDir)
 	if err != nil {
 		return fmt.Errorf("failed to read directory: %w", err)
@@ -410,6 +450,7 @@ func CreateSafetensorsModel(modelName, modelDir, quantize string, createLayer La
 		// Extract individual tensors from safetensors file
 		extractor, err := safetensors.OpenForExtraction(stPath)
 		if err != nil {
+			closeExtractors()
 			return fmt.Errorf("failed to open %s: %w", stPath, err)
 		}
 
@@ -420,10 +461,14 @@ func CreateSafetensorsModel(modelName, modelDir, quantize string, createLayer La
 		}
 		fn(fmt.Sprintf("importing %s (%d tensors%s)", entry.Name(), len(tensorNames), quantizeMsg))
 
+		// Track whether this extractor has expert tensors that need to stay open
+		hasExpertTensors := false
+
 		for _, tensorName := range tensorNames {
 			td, err := extractor.GetTensor(tensorName)
 			if err != nil {
 				extractor.Close()
+				closeExtractors()
 				return fmt.Errorf("failed to get tensor %s: %w", tensorName, err)
 			}
 
@@ -434,20 +479,65 @@ func CreateSafetensorsModel(modelName, modelDir, quantize string, createLayer La
 				quantizeType = GetTensorQuantization(tensorName, td.Shape, quantize)
 			}
 
-			// Store as minimal safetensors format (88 bytes header overhead)
-			// This enables native mmap loading via mlx_load_safetensors
-			// createTensorLayer returns multiple layers if quantizing (weight + scales)
-			newLayers, err := createTensorLayer(td.SafetensorsReader(), tensorName, td.Dtype, td.Shape, quantizeType)
-			if err != nil {
-				extractor.Close()
-				return fmt.Errorf("failed to create layer for %s: %w", tensorName, err)
+			// Check if this tensor belongs to an expert group for packing
+			groupPrefix := ""
+			if packedCreator != nil {
+				groupPrefix = ExpertGroupPrefix(tensorName)
+			}
+
+			if groupPrefix != "" {
+				// Accumulate expert tensor for packed blob.
+				// The Reader uses a file-backed SectionReader, so we must
+				// keep the extractor open until this group is flushed.
+				hasExpertTensors = true
+				if _, exists := expertGroups[groupPrefix]; !exists {
+					expertGroupOrder = append(expertGroupOrder, groupPrefix)
+				}
+				expertGroups[groupPrefix] = append(expertGroups[groupPrefix], PackedTensorInput{
+					Name:     tensorName,
+					Dtype:    td.Dtype,
+					Shape:    td.Shape,
+					Quantize: quantizeType,
+					Reader:   td.SafetensorsReader(),
+				})
+			} else {
+				// Store as minimal safetensors format (88 bytes header overhead)
+				// This enables native mmap loading via mlx_load_safetensors
+				// createTensorLayer returns multiple layers if quantizing (weight + scales)
+				newLayers, err := createTensorLayer(td.SafetensorsReader(), tensorName, td.Dtype, td.Shape, quantizeType)
+				if err != nil {
+					extractor.Close()
+					closeExtractors()
+					return fmt.Errorf("failed to create layer for %s: %w", tensorName, err)
+				}
+				layers = append(layers, newLayers...)
 			}
-			layers = append(layers, newLayers...)
 		}
 
-		extractor.Close()
+		if hasExpertTensors {
+			// Keep extractor open - readers still reference its file handle
+			openExtractors = append(openExtractors, extractor)
+		} else {
+			extractor.Close()
+		}
 	}
 
+	// Process accumulated expert groups into packed blobs, then close extractors
+	if packedCreator != nil {
+		sort.Strings(expertGroupOrder)
+		for _, groupName := range expertGroupOrder {
+			tensors := expertGroups[groupName]
+			fn(fmt.Sprintf("packing %s (%d tensors)", groupName, len(tensors)))
+			layer, err := packedCreator(groupName, tensors)
+			if err != nil {
+				closeExtractors()
+				return fmt.Errorf("failed to create packed layer for %s: %w", groupName, err)
+			}
+			layers = append(layers, layer)
+		}
+	}
+	closeExtractors()
+
 	// Process all JSON config files
 	for _, entry := range entries {
 		if entry.IsDir() || !strings.HasSuffix(entry.Name(), ".json") {
@@ -487,23 +577,6 @@ func CreateSafetensorsModel(modelName, modelDir, quantize string, createLayer La
 		return fmt.Errorf("config.json not found in %s", modelDir)
 	}
 
-	// Create model_index.json with quantization info if quantizing
-	if quantize != "" {
-		modelIndex := map[string]any{
-			"quantization": strings.ToUpper(quantize),
-			"group_size":   getQuantGroupSize(quantize),
-		}
-		indexData, err := json.MarshalIndent(modelIndex, "", "    ")
-		if err != nil {
-			return fmt.Errorf("failed to marshal model_index.json: %w", err)
-		}
-		indexLayer, err := createLayer(strings.NewReader(string(indexData)), "application/vnd.ollama.image.json", "model_index.json")
-		if err != nil {
-			return fmt.Errorf("failed to create model_index.json layer: %w", err)
-		}
-		layers = append(layers, indexLayer)
-	}
-
 	fn(fmt.Sprintf("writing manifest for %s", modelName))
 
 	if err := writeManifest(modelName, configLayer, layers); err != nil {

x/create/create_test.go

@@ -586,6 +586,39 @@ func TestShouldQuantizeTensor(t *testing.T) {
 	}
 }
 
+func TestExpertGroupPrefix(t *testing.T) {
+	tests := []struct {
+		name string
+		want string
+	}{
+		// Expert tensors should return the group prefix
+		{"model.layers.1.mlp.experts.0.down_proj.weight", "model.layers.1.mlp.experts"},
+		{"model.layers.1.mlp.experts.63.gate_proj.weight", "model.layers.1.mlp.experts"},
+		{"model.layers.0.mlp.experts.0.up_proj.weight", "model.layers.0.mlp.experts"},
+
+		// Shared expert tensors should return their own group prefix
+		{"model.layers.1.mlp.shared_experts.down_proj.weight", "model.layers.1.mlp.shared_experts"},
+		{"model.layers.2.mlp.shared_experts.gate_proj.weight", "model.layers.2.mlp.shared_experts"},
+
+		// Non-expert tensors should return empty string
+		{"model.layers.0.mlp.down_proj.weight", ""},    // dense layer, no experts
+		{"model.layers.1.mlp.gate.weight", ""},         // routing gate, not an expert
+		{"model.embed_tokens.weight", ""},              // embedding
+		{"model.layers.0.self_attn.q_proj.weight", ""}, // attention
+		{"model.norm.weight", ""},                      // norm
+		{"lm_head.weight", ""},                         // output head
+	}
+
+	for _, tt := range tests {
+		t.Run(tt.name, func(t *testing.T) {
+			got := ExpertGroupPrefix(tt.name)
+			if got != tt.want {
+				t.Errorf("ExpertGroupPrefix(%q) = %q, want %q", tt.name, got, tt.want)
+			}
+		})
+	}
+}
+
 func TestCreateSafetensorsModel_WithQuantize(t *testing.T) {
 	dir := t.TempDir()
 
@@ -751,7 +784,7 @@ func TestCreateImageGenModel_WithQuantize(t *testing.T) {
 
 	progressFn := func(status string) {}
 
-	err := CreateImageGenModel("test-imagegen", dir, "q8", createLayer, createTensorLayer, writeManifest, progressFn)
+	err := CreateImageGenModel("test-imagegen", dir, "int8", createLayer, createTensorLayer, writeManifest, progressFn)
 	if err != nil {
 		t.Fatalf("CreateImageGenModel failed: %v", err)
 	}