Update README.md

Signed-off-by: Geoff Seemueller <28698553+geoffsee@users.noreply.github.com>

.dockerignore

@@ -0,0 +1,3 @@
+/.wrangler/
+/.open-gsio/
+/node_modules/

.eslintignore

@@ -0,0 +1,41 @@
+# Dependencies
+node_modules
+.pnp
+.pnp.js
+
+# Build outputs
+dist
+build
+out
+.next
+.nuxt
+.cache
+
+# Test coverage
+coverage
+
+# Logs
+logs
+*.log
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+
+# Environment variables
+.env
+.env.local
+.env.development.local
+.env.test.local
+.env.production.local
+
+# Editor directories and files
+.idea
+.vscode
+*.suo
+*.ntvs*
+*.njsproj
+*.sln
+*.sw?
+
+# TypeScript
+*.d.ts

.eslintrc.cjs

@@ -0,0 +1,49 @@
+module.exports = {
+  root: true,
+  parser: '@typescript-eslint/parser',
+  parserOptions: {
+    ecmaVersion: 2021,
+    sourceType: 'module',
+    project: './tsconfig.json',
+  },
+  env: {
+    browser: true,
+    node: true,
+    es6: true,
+  },
+  globals: {
+    Bun: 'readonly',
+  },
+  plugins: ['@typescript-eslint', 'import', 'prettier'],
+  extends: [
+    'eslint:recommended',
+    'plugin:@typescript-eslint/recommended',
+    'plugin:import/errors',
+    'plugin:import/warnings',
+    'plugin:import/typescript',
+    'prettier',
+  ],
+  rules: {
+    'prettier/prettier': 'error',
+    '@typescript-eslint/explicit-module-boundary-types': 'off',
+    '@typescript-eslint/no-explicit-any': 'warn',
+    '@typescript-eslint/no-unused-vars': ['warn', { argsIgnorePattern: '^_' }],
+    'import/order': [
+      'error',
+      {
+        'newlines-between': 'always',
+        alphabetize: { order: 'asc', caseInsensitive: true },
+        groups: ['builtin', 'external', 'internal', 'parent', 'sibling', 'index'],
+      },
+    ],
+  },
+  settings: {
+    'import/resolver': {
+      node: {
+        extensions: ['.js', '.jsx', '.ts', '.tsx'],
+        moduleDirectory: ['node_modules', 'packages/*/node_modules'],
+      },
+    },
+  },
+  ignorePatterns: ['node_modules', 'dist', 'build', '*.d.ts', '*.min.js'],
+};

.gitignore

@@ -7,10 +7,21 @@
 **/.idea/
 **/html/
 **/.env
-packages/client/public/static/fonts/*
 
 **/secrets.json
 **/.dev.vars
-packages/client/public/sitemap.xml
-packages/client/public/robots.txt
-wrangler.dev.jsonc
+wrangler.dev.jsonc
+/packages/client/public/static/fonts/
+/packages/client/public/robots.txt
+/packages/client/public/sitemap.xml
+/packages/client/public/yachtpit.html
+/packages/client/public/yachtpit.js
+/packages/client/public/yachtpit_bg.wasm
+/packages/client/public/assets/
+/packages/client/public/apple-touch-icon-180x180.png
+/packages/client/public/icon.ico
+/packages/client/public/maskable-icon-512x512.png
+/packages/client/public/pwa-64x64.png
+/packages/client/public/pwa-192x192.png
+/packages/client/public/pwa-512x512.png
+packages/client/public/yachtpit_bg*

.prettierignore

@@ -0,0 +1,47 @@
+# Dependencies
+node_modules
+.pnp
+.pnp.js
+
+# Build outputs
+dist
+build
+out
+.next
+.nuxt
+.cache
+
+# Test coverage
+coverage
+
+# Logs
+logs
+*.log
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+
+# Environment variables
+.env
+.env.local
+.env.development.local
+.env.test.local
+.env.production.local
+
+# Editor directories and files
+.idea
+.vscode
+*.suo
+*.ntvs*
+*.njsproj
+*.sln
+*.sw?
+
+# Package files
+package-lock.json
+yarn.lock
+pnpm-lock.yaml
+bun.lock
+
+# Generated files
+CHANGELOG.md

.prettierrc.cjs

@@ -0,0 +1,19 @@
+module.exports = {
+  semi: true,
+  singleQuote: true,
+  trailingComma: 'all',
+  printWidth: 100,
+  tabWidth: 2,
+  useTabs: false,
+  bracketSpacing: true,
+  arrowParens: 'avoid',
+  endOfLine: 'lf',
+  overrides: [
+    {
+      files: '*.{json,yml,yaml,md}',
+      options: {
+        tabWidth: 2,
+      },
+    },
+  ],
+};

Dockerfile

@@ -0,0 +1,51 @@
+FROM oven/bun:latest
+
+WORKDIR /app
+
+# Copy package files first for better caching
+COPY package.json bun.lock ./
+
+# Create directory structure for all packages
+RUN mkdir -p packages/ai packages/ai/src/types packages/client packages/coordinators packages/env packages/router packages/schema packages/scripts packages/server packages/services packages/cloudflare-workers/analytics packages/cloudflare-workers/open-gsio
+
+# Copy package.json files for all packages
+COPY packages/ai/package.json ./packages/ai/
+COPY packages/ai/src/types/package.json ./packages/ai/src/types/
+COPY packages/client/package.json ./packages/client/
+COPY packages/coordinators/package.json ./packages/coordinators/
+COPY packages/env/package.json ./packages/env/
+COPY packages/router/package.json ./packages/router/
+COPY packages/schema/package.json ./packages/schema/
+COPY packages/scripts/package.json ./packages/scripts/
+COPY packages/server/package.json ./packages/server/
+COPY packages/services/package.json ./packages/services/
+COPY packages/cloudflare-workers/analytics/package.json ./packages/cloudflare-workers/analytics/
+COPY packages/cloudflare-workers/open-gsio/package.json ./packages/cloudflare-workers/open-gsio/
+
+# Install dependencies
+RUN bun install
+
+# Copy the rest of the application
+COPY . .
+
+# Create .env file if it doesn't exist
+RUN touch ./packages/server/.env
+
+# Build client and server
+RUN bun build:client && bun build:server
+
+# Ensure the client directories exist
+RUN mkdir -p ./client/public ./client/dist/client
+
+# Copy client files to the expected locations
+RUN cp -r ./packages/client/public/* ./client/public/ || true
+RUN cp -r ./packages/client/dist/* ./client/dist/ || true
+
+EXPOSE 3003
+
+# Verify server.js exists
+RUN test -f ./packages/server/dist/server.js || (echo "Error: server.js not found" && exit 1)
+
+
+
+CMD ["bun", "./packages/server/dist/server.js"]

LEGACY.md

@@ -1,60 +1,60 @@
-Legacy Development History
----
+## Legacy Development History
+
 The source code of open-gsio was drawn from the source code of my personal website. That commit history was contaminated early on with secrets. `open-gsio` is a refinement of those sources. A total of 367 commits were submitted to the main branch of the upstream source repository between August 2024 and May 2025.
 
 #### **May 2025**
 
-* Added **seemueller.ai** link to UI sidebar.
-* Global config/markdown guide clean‑up; patched a critical forgotten bug.
+- Added **seemueller.ai** link to UI sidebar.
+- Global config/markdown guide clean‑up; patched a critical forgotten bug.
 
 #### **Apr 2025**
 
-* **CI/CD overhaul**: auto‑deploy to dev & staging, Bun adoption as package manager, streamlined block‑list workflow (now auto‑updates via VPN blocker).
-* New 404 error page; multiple robots.txt and editor‑resize fixes; removed dead/duplicate code.
+- **CI/CD overhaul**: auto‑deploy to dev & staging, Bun adoption as package manager, streamlined block‑list workflow (now auto‑updates via VPN blocker).
+- New 404 error page; multiple robots.txt and editor‑resize fixes; removed dead/duplicate code.
 
 #### **Mar 2025**
 
-* Introduced **model‑specific `max_tokens`** handling and plugged in **Cloudflare AI models** for testing.
-* Bundle size minimised (re‑enabled minifier, smaller vendor set).
+- Introduced **model‑specific `max_tokens`** handling and plugged in **Cloudflare AI models** for testing.
+- Bundle size minimised (re‑enabled minifier, smaller vendor set).
 
 #### **Feb 2025**
 
-* **Full theme system** (runtime switching, Centauri theme, server‑saved prefs).
-* Tightened MobX typing for messages; responsive break‑points & input scaling repaired.
-* Dropped legacy document API; general folder restructure.
+- **Full theme system** (runtime switching, Centauri theme, server‑saved prefs).
+- Tightened MobX typing for messages; responsive break‑points & input scaling repaired.
+- Dropped legacy document API; general folder restructure.
 
 #### **Jan 2025**
 
-* **Rate‑limit middleware**, larger KV/R2 storage quota.
-* Switched default model → *llama‑v3p1‑70b‑instruct*; pluggable model handlers.
-* Added **KaTeX fonts** & **Marked.js** for rich math/markdown.
-* Fireworks key rotation; deprecated Google models removed.
+- **Rate‑limit middleware**, larger KV/R2 storage quota.
+- Switched default model → _llama‑v3p1‑70b‑instruct_; pluggable model handlers.
+- Added **KaTeX fonts** & **Marked.js** for rich math/markdown.
+- Fireworks key rotation; deprecated Google models removed.
 
 #### **Dec 2024**
 
-* Major package upgrades; **CodeHighlighter** now supports HTML/JSX/TS(X)/Zig.
-* Refactored streaming + markdown renderer; Android‑specific padding fixes.
-* Reset default chat model to **gpt‑4o**; welcome message & richer search‑intent logic.
+- Major package upgrades; **CodeHighlighter** now supports HTML/JSX/TS(X)/Zig.
+- Refactored streaming + markdown renderer; Android‑specific padding fixes.
+- Reset default chat model to **gpt‑4o**; welcome message & richer search‑intent logic.
 
 #### **Nov 2024**
 
-* **Fireworks API** + agent server; first‑class support for **Anthropic** & **GROQ** models (incl. attachments).
-* **VPN blocker** shipped with CIDR validation and dedicated GitHub Action.
-* Live search buffering, feedback modal, smarter context preprocessing.
+- **Fireworks API** + agent server; first‑class support for **Anthropic** & **GROQ** models (incl. attachments).
+- **VPN blocker** shipped with CIDR validation and dedicated GitHub Action.
+- Live search buffering, feedback modal, smarter context preprocessing.
 
 #### **Oct 2024**
 
-* Rolled out **image generation** + picker for image models.
-* Deployed **ETH payment processor** & deposit‑address flow.
-* Introduced few‑shot prompting library; analytics worker refactor; Halloween prompt.
-* Extensive mobile‑UX polish and bundling/worker config updates.
+- Rolled out **image generation** + picker for image models.
+- Deployed **ETH payment processor** & deposit‑address flow.
+- Introduced few‑shot prompting library; analytics worker refactor; Halloween prompt.
+- Extensive mobile‑UX polish and bundling/worker config updates.
 
 #### **Sep 2024**
 
-* End‑to‑end **math rendering** (KaTeX) and **GitHub‑flavoured markdown**.
-* Migrated chat state to **MobX**; launched analytics service & metrics worker.
-* Switched build minifier to **esbuild**; tokenizer limits enforced; gradient sidebar & cookie‑consent manager added.
+- End‑to‑end **math rendering** (KaTeX) and **GitHub‑flavoured markdown**.
+- Migrated chat state to **MobX**; launched analytics service & metrics worker.
+- Switched build minifier to **esbuild**; tokenizer limits enforced; gradient sidebar & cookie‑consent manager added.
 
 #### **Aug 2024**
 
-* **Initial MVP**: iMessage‑style chat UI, websocket prototype, Google Analytics, Cloudflare bindings, base worker‑site scaffold.
+- **Initial MVP**: iMessage‑style chat UI, websocket prototype, Google Analytics, Cloudflare bindings, base worker‑site scaffold.

README.md

@@ -1,42 +1,30 @@
 # open-gsio
+> Rewrite in-progress.
 [![Tests](https://github.com/geoffsee/open-gsio/actions/workflows/test.yml/badge.svg)](https://github.com/geoffsee/open-gsio/actions/workflows/test.yml)
 [![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](https://opensource.org/licenses/MIT)
 </br>
+
 <p align="center">
   <img src="https://github.com/user-attachments/assets/620d2517-e7be-4bb0-b2b7-3aa0cba37ef0" width="250" />
 </p>
 
-> **Note**: This project is currently under active development. The styling is a work in progress and some functionality
-> may be broken. Tests are being actively ported and stability will improve over time. Thank you for your patience!
-
-This is a full-stack Conversational AI. It runs on Cloudflare or Bun. 
+This is a full-stack Conversational AI.
 
 ## Table of Contents
 
-- [Stack](#stack)
 - [Installation](#installation)
 - [Deployment](#deployment)
+- [Docker](#docker)
 - [Local Inference](#local-inference)
-    - [mlx-omni-server (default)](#mlx-omni-server)
-        - [Adding models](#adding-models-for-local-inference-apple-silicon)
-    - [Ollama](#ollama)
-        - [Adding models](#adding-models-for-local-inference-ollama)
+  - [mlx-omni-server (default)](#mlx-omni-server)
+    - [Adding models](#adding-models-for-local-inference-apple-silicon)
+  - [Ollama](#ollama)
+    - [Adding models](#adding-models-for-local-inference-ollama)
 - [Testing](#testing)
 - [Troubleshooting](#troubleshooting)
-- [History](#history)
+- [Acknowledgments](#acknowledgments)
 - [License](#license)
 
-## Stack
-* [TypeScript](https://www.typescriptlang.org/)
-* [Vike](https://vike.dev/)
-* [React](https://react.dev/)
-* [Cloudflare Workers](https://developers.cloudflare.com/workers/)
-* [itty‑router](https://github.com/kwhitley/itty-router)
-* [MobX‑State‑Tree](https://mobx-state-tree.js.org/)
-* [OpenAI SDK](https://github.com/openai/openai-node)
-* [Vitest](https://vitest.dev/)
-
-
 ## Installation
 
 1. `bun i && bun test:all`
@@ -46,30 +34,87 @@ This is a full-stack Conversational AI. It runs on Cloudflare or Bun.
 > Note: it should be possible to use pnpm in place of bun.
 
 ## Deployment
+
 1. Setup KV_STORAGE binding in `packages/server/wrangler.jsonc`
-1.  [Add keys in secrets.json](https://console.groq.com/keys)
+1. [Add keys in secrets.json](https://console.groq.com/keys)
 1. Run `bun run deploy && bun run deploy:secrets && bun run deploy`
 
 > Note: Subsequent deployments should omit `bun run deploy:secrets`
 
+## Docker
+
+You can run the server using Docker. The image is large but will be slimmed down in future commits.
+
+### Building the Docker Image
+
+```bash
+docker compose build
+# OR
+docker build -t open-gsio .
+```
+
+### Running the Docker Container
+
+```bash
+docker run -p 3003:3003 \
+  -e GROQ_API_KEY=your_groq_api_key \
+  -e FIREWORKS_API_KEY=your_fireworks_api_key \
+  open-gsio
+```
+
+You can omit any environment variables that you don't need. The server will be available at http://localhost:3003.
+
+### Using Docker Compose
+
+A `docker-compose.yml` file is provided in the repository. You can edit it to add your API keys:
+
+```yaml
+version: '3'
+services:
+  open-gsio:
+    build: .
+    ports:
+      - "3003:3003"
+    environment:
+      - GROQ_API_KEY=your_groq_api_key
+      - FIREWORKS_API_KEY=your_fireworks_api_key
+      # Other environment variables are included in the file
+    restart: unless-stopped
+```
+
+Then run:
+
+```bash
+docker compose up
+```
+
+Or to run in detached mode:
+
+```bash
+docker compose up -d
+```
 
 ## Local Inference
-> Local inference is achieved by overriding the `OPENAI_API_KEY` and `OPENAI_API_ENDPOINT` environment variables. See below.
+
+> Local inference is supported for Ollama and mlx-omni-server. OpenAI compatible servers can be used by overriding OPENAI_API_KEY and OPENAI_API_ENDPOINT.
 
 ### mlx-omni-server
-(default) (Apple Silicon Only) - Use Ollama for other platforms.
-~~~bash
+
+(default) (Apple Silicon Only)
+
+```bash
 # (prereq) install mlx-omni-server
-brew tap seemueller-io/tap                   
-brew install seemueller-io/tap/mlx-omni-server 
+brew tap seemueller-io/tap
+brew install seemueller-io/tap/mlx-omni-server
 
 bun run openai:local mlx-omni-server         # Start mlx-omni-server
 bun run openai:local:configure               # Configure connection
 bun run server:dev                           # Restart server
-~~~
+```
+
 #### Adding models for local inference (Apple Silicon)
 
-~~~bash
+```bash
 # ensure mlx-omni-server is running
 
 # See https://huggingface.co/mlx-community for available models
@@ -81,21 +126,22 @@ curl http://localhost:10240/v1/chat/completions \
     \"model\": \"$MODEL_TO_ADD\",
     \"messages\": [{\"role\": \"user\", \"content\": \"Hello\"}]
   }"
-~~~  
+```
 
 ### Ollama
-~~~bash
+
+```bash
 bun run openai:local ollama                  # Start ollama server
 bun run openai:local:configure               # Configure connection
 bun run server:dev                           # Restart server
-~~~
+```
+
 #### Adding models for local inference (ollama)
 
-~~~bash
+```bash
 # See https://ollama.com/library for available models
 use the ollama web ui @ http://localhost:8080
-~~~  
-
+```
 
 ## Testing
 
@@ -103,20 +149,46 @@ Tests are located in `__tests__` directories next to the code they test. Testing
 
 > `bun test:all` will run all tests
 
-
 ## Troubleshooting
+
 1.  `bun clean`
 1.  `bun i`
 1.  `bun server:dev`
 1.  `bun client:dev`
-1. Submit an issue
+1.  Submit an issue
+
+## History
 
-History
----
 A high-level overview for the development history of the parent repository, [geoff-seemueller-io](https://geoff.seemueller.io), is provided in [LEGACY.md](./LEGACY.md).
 
+## Acknowledgments
+
+I would like to express gratitude to the following projects, libraries, and individuals that have contributed to making open-gsio possible:
+
+- [TypeScript](https://www.typescriptlang.org/) - Primary programming language
+- [React](https://react.dev/) - UI library for building the frontend
+- [Vike](https://vike.dev/) - Framework for server-side rendering and routing
+- [Cloudflare Workers](https://developers.cloudflare.com/workers/) - Serverless execution environment
+- [Bun](https://bun.sh/) - JavaScript runtime and toolkit
+- [Marked.js](https://github.com/markedjs/marked) - Markdown Rendering
+- [Shiki](https://github.com/shikijs/shiki) - Syntax Highlighting
+- [itty-router](https://github.com/kwhitley/itty-router) - Lightweight router for serverless environments
+- [MobX-State-Tree](https://mobx-state-tree.js.org/) - State management solution
+- [OpenAI SDK](https://github.com/openai/openai-node) - Client for AI model integration
+- [Vitest](https://vitest.dev/) - Testing framework
+- [OpenAI](https://github.com/openai)
+- [Groq](https://console.groq.com/) - Fast inference API
+- [Anthropic](https://www.anthropic.com/) - Creator of Claude models
+- [Fireworks](https://fireworks.ai/) - AI inference platform
+- [XAI](https://x.ai/) - Creator of Grok models
+- [Cerebras](https://www.cerebras.net/) - AI compute and models
+- [(madroidmaq) MLX Omni Server](https://github.com/madroidmaq/mlx-omni-server) - Open-source high-performance inference for Apple Silicon
+- [MLX](https://github.com/ml-explore/mlx) - An array framework for Apple silicon
+- [Ollama](https://github.com/ollama/ollama) - Versatile solution for self-hosting models
+
 ## License
-~~~text
+
+```text
 MIT License
 
 Copyright (c) 2025 Geoff Seemueller
@@ -138,7 +210,4 @@ AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
 SOFTWARE.
-~~~
-
-
-
+```

docker-compose.yml

@@ -0,0 +1,13 @@
+version: '3'
+services:
+  open-gsio:
+    image: open-gsio:latest
+    build:
+      pull: false
+      context: .
+      dockerfile: Dockerfile
+    ports:
+      - "3003:3003"
+    env_file:
+      - ./packages/server/.env
+    restart: unless-stopped

package.json

@@ -12,19 +12,37 @@
     "clean": "packages/scripts/cleanup.sh",
     "test:all": "bun run --filter='*' tests",
     "client:dev": "(cd packages/client && bun run dev)",
-    "server:dev": "(cd packages/server && bun run dev)",
-    "build": "(cd packages/cloudflare-workers && bun run deploy:dry-run)",
-    "deploy": "(cd packages/cloudflare-workers && bun run deploy)",
+    "server:dev": "bun build:client && (cd packages/server && bun run dev)",
+    "build": "(cd packages/cloudflare-workers/open-gsio && bun run deploy:dry-run)",
+    "build:client": "(cd packages/client && bun run vite build)",
+    "build:server": "bun --filter=@open-gsio/server run build",
+    "deploy": "(cd packages/cloudflare-workers/open-gsio && bun run deploy)",
     "deploy:secrets": "wrangler secret bulk secrets.json -c packages/cloudflare-workers/open-gsio/wrangler.jsonc",
     "openai:local:mlx": "packages/scripts/start_inference_server.sh mlx-omni-server",
     "openai:local:ollama": "packages/scripts/start_inference_server.sh ollama",
-    "openai:local:configure": "packages/scripts/configure_local_inference.sh"
+    "openai:local:configure": "packages/scripts/configure_local_inference.sh",
+    "lint": "eslint . --ext .js,.jsx,.ts,.tsx",
+    "lint:fix": "eslint . --ext .js,.jsx,.ts,.tsx --fix",
+    "format": "prettier --write \"**/*.{js,jsx,ts,tsx,json,md}\"",
+    "format:check": "prettier --check \"**/*.{js,jsx,ts,tsx,json,md}\"",
+    "log": "(cd packages/cloudflare-workers/open-gsio && bun wrangler tail)"
   },
   "devDependencies": {
-    "@types/bun": "latest"
+    "@types/bun": "^1.2.17",
+    "@typescript-eslint/eslint-plugin": "^8.35.0",
+    "@typescript-eslint/parser": "^8.35.0",
+    "eslint": "^8",
+    "eslint-config-prettier": "^10.1.5",
+    "eslint-plugin-import": "^2.32.0",
+    "eslint-plugin-prettier": "^5.5.1",
+    "happy-dom": "^18.0.1",
+    "prettier": "^3.6.1"
   },
   "peerDependencies": {
-    "typescript": "^5"
+    "typescript": "^5.8.3"
+  },
+  "dependencies": {
+    "@chakra-ui/icons": "^2.2.4"
   },
   "packageManager": "pnpm@10.10.0+sha512.d615db246fe70f25dcfea6d8d73dee782ce23e2245e3c4f6f888249fb568149318637dca73c2c5c8ef2a4ca0d5657fb9567188bfab47f566d1ee6ce987815c39"
 }

packages/ai/index.ts

@@ -1 +0,0 @@
-export * from "./supported-models.ts";

packages/ai/package.json

@@ -1,4 +1,48 @@
 {
   "name": "@open-gsio/ai",
-  "module": "index.ts"
-}
+  "type": "module",
+  "module": "src/index.ts",
+  "exports": {
+    ".": {
+      "import": "./src/index.ts",
+      "types": "./src/index.ts"
+    },
+    "./chat-sdk/chat-sdk.ts": {
+      "import": "./src/chat-sdk/chat-sdk.ts",
+      "types": "./src/chat-sdk/chat-sdk.ts"
+    },
+    "./providers/_ProviderRepository.ts": {
+      "import": "./src/providers/_ProviderRepository.ts",
+      "types": "./src/providers/_ProviderRepository.ts"
+    },
+    "./providers/google.ts": {
+      "import": "./src/providers/google.ts",
+      "types": "./src/providers/google.ts"
+    },
+    "./providers/openai.ts": {
+      "import": "./src/providers/openai.ts",
+      "types": "./src/providers/openai.ts"
+    },
+    "./src": {
+      "import": "./src/index.ts",
+      "types": "./src/index.ts"
+    },
+    "./utils": {
+      "import": "./src/utils/index.ts",
+      "types": "./src/utils/index.ts"
+    }
+  },
+  "scripts": {
+    "tests": "vitest run",
+    "tests:coverage": "vitest run --coverage.enabled=true"
+  },
+  "devDependencies": {
+    "@open-gsio/env": "workspace:*",
+    "@open-gsio/schema": "workspace:*",
+    "@anthropic-ai/sdk": "^0.55.0",
+    "openai": "^5.0.1",
+    "wrangler": "^4.18.0",
+    "vitest": "^3.1.4",
+    "vite": "^6.3.5"
+  }
+}

packages/ai/src/__tests__/assistant-sdk.test.ts

@@ -0,0 +1,154 @@
+import { describe, it, expect, vi, beforeEach, afterEach } from 'vitest';
+
+import { AssistantSdk } from '../assistant-sdk';
+import { Utils } from '../utils/utils.ts';
+
+// Mock dependencies
+vi.mock('../utils/utils.ts', () => ({
+  Utils: {
+    selectEquitably: vi.fn(),
+    getCurrentDate: vi.fn(),
+  },
+}));
+
+vi.mock('../prompts/few_shots', () => ({
+  default: {
+    a: 'A1',
+    question1: 'answer1',
+    question2: 'answer2',
+    question3: 'answer3',
+  },
+}));
+
+describe('AssistantSdk', () => {
+  beforeEach(() => {
+    vi.useFakeTimers();
+    vi.setSystemTime(new Date('2023-01-01T12:30:45Z'));
+
+    // Reset mocks
+    vi.resetAllMocks();
+  });
+
+  afterEach(() => {
+    vi.useRealTimers();
+  });
+
+  describe('getAssistantPrompt', () => {
+    it('should return a prompt with default values when minimal params are provided', () => {
+      // Mock dependencies
+      Utils.selectEquitably.mockReturnValue({
+        question1: 'answer1',
+        question2: 'answer2',
+      });
+      Utils.getCurrentDate.mockReturnValue('2023-01-01T12:30:45Z');
+
+      const prompt = AssistantSdk.getAssistantPrompt({});
+
+      expect(prompt).toContain('# Assistant Knowledge');
+      expect(prompt).toContain('### Date: ');
+      expect(prompt).toContain('### User Location: ');
+      expect(prompt).toContain('### Timezone: ');
+    });
+
+    it('should include maxTokens when provided', () => {
+      // Mock dependencies
+      Utils.selectEquitably.mockReturnValue({
+        question1: 'answer1',
+        question2: 'answer2',
+      });
+      Utils.getCurrentDate.mockReturnValue('2023-01-01T12:30:45Z');
+
+      const prompt = AssistantSdk.getAssistantPrompt({ maxTokens: 1000 });
+
+      expect(prompt).toContain('Max Response Length: 1000 tokens (maximum)');
+    });
+
+    it('should use provided userTimezone and userLocation', () => {
+      // Mock dependencies
+      Utils.selectEquitably.mockReturnValue({
+        question1: 'answer1',
+        question2: 'answer2',
+      });
+      Utils.getCurrentDate.mockReturnValue('2023-01-01T12:30:45Z');
+
+      const prompt = AssistantSdk.getAssistantPrompt({
+        userTimezone: 'America/New_York',
+        userLocation: 'New York, USA',
+      });
+
+      expect(prompt).toContain('### User Location: New York, USA');
+      expect(prompt).toContain('### Timezone: America/New_York');
+    });
+
+    it('should use current date when Utils.getCurrentDate is not available', () => {
+      // Mock dependencies
+      Utils.selectEquitably.mockReturnValue({
+        question1: 'answer1',
+        question2: 'answer2',
+      });
+      // @ts-expect-error - is supposed to break
+      Utils.getCurrentDate.mockReturnValue(undefined);
+
+      const prompt = AssistantSdk.getAssistantPrompt({});
+
+      // Instead of checking for a specific date, just verify that a date is included
+      expect(prompt).toMatch(/### Date: \d{4}-\d{2}-\d{2} \d{1,2}:\d{2} \d{1,2}s/);
+    });
+
+    it('should use few_shots directly when Utils.selectEquitably is not available', () => {
+      // @ts-expect-error - is supposed to break
+      Utils.selectEquitably.mockReturnValue(undefined);
+      Utils.getCurrentDate.mockReturnValue('2023-01-01T12:30:45Z');
+
+      const prompt = AssistantSdk.getAssistantPrompt({});
+
+      // The prompt should still contain examples
+      expect(prompt).toContain('#### Example 1');
+      // Instead of checking for specific content, just verify that examples are included
+      expect(prompt).toMatch(/HUMAN: .+\nASSISTANT: .+/);
+    });
+  });
+
+  describe('useFewshots', () => {
+    it('should format fewshots correctly', () => {
+      const fewshots = {
+        'What is the capital of France?': 'Paris is the capital of France.',
+        'How do I make pasta?': 'Boil water, add pasta, cook until al dente.',
+      };
+
+      const result = AssistantSdk.useFewshots(fewshots);
+
+      expect(result).toContain('#### Example 1');
+      expect(result).toContain('HUMAN: What is the capital of France?');
+      expect(result).toContain('ASSISTANT: Paris is the capital of France.');
+      expect(result).toContain('#### Example 2');
+      expect(result).toContain('HUMAN: How do I make pasta?');
+      expect(result).toContain('ASSISTANT: Boil water, add pasta, cook until al dente.');
+    });
+
+    it('should respect the limit parameter', () => {
+      const fewshots = {
+        Q1: 'A1',
+        Q2: 'A2',
+        Q3: 'A3',
+        Q4: 'A4',
+        Q5: 'A5',
+        Q6: 'A6',
+      };
+
+      const result = AssistantSdk.useFewshots(fewshots, 3);
+
+      expect(result).toContain('#### Example 1');
+      expect(result).toContain('HUMAN: Q1');
+      expect(result).toContain('ASSISTANT: A1');
+      expect(result).toContain('#### Example 2');
+      expect(result).toContain('HUMAN: Q2');
+      expect(result).toContain('ASSISTANT: A2');
+      expect(result).toContain('#### Example 3');
+      expect(result).toContain('HUMAN: Q3');
+      expect(result).toContain('ASSISTANT: A3');
+      expect(result).not.toContain('#### Example 4');
+      expect(result).not.toContain('HUMAN: Q4');
+    });
+  });
+});

packages/ai/src/__tests__/chat-sdk.test.ts

@@ -1,24 +1,29 @@
+import { Schema } from '@open-gsio/schema';
 import { describe, it, expect, vi, beforeEach } from 'vitest';
-import { ChatSdk } from '../chat-sdk.ts';
-import { AssistantSdk } from '../assistant-sdk.ts';
-import Message from '../../models/Message.ts';
-import { getModelFamily } from '@open-gsio/ai/supported-models';
+
+import { AssistantSdk } from '../assistant-sdk';
+import { ChatSdk } from '../chat-sdk';
+import { ProviderRepository } from '../providers/_ProviderRepository.ts';
 
 // Mock dependencies
 vi.mock('../assistant-sdk', () => ({
   AssistantSdk: {
-    getAssistantPrompt: vi.fn()
-  }
+    getAssistantPrompt: vi.fn(),
+  },
 }));
 
-vi.mock('../../models/Message', () => ({
-  default: {
-    create: vi.fn((message) => message)
-  }
+vi.mock('@open-gsio/schema', () => ({
+  Schema: {
+    Message: {
+      create: vi.fn(message => message),
+    },
+  },
 }));
 
-vi.mock('@open-gsio/ai/supported-models', () => ({
-  getModelFamily: vi.fn()
+vi.mock('../providers/_ProviderRepository', () => ({
+  ProviderRepository: {
+    getModelFamily: vi.fn().mockResolvedValue('openai'),
+  },
 }));
 
 describe('ChatSdk', () => {
@@ -30,16 +35,16 @@ describe('ChatSdk', () => {
   describe('preprocess', () => {
     it('should return an assistant message with empty content', async () => {
       const messages = [{ role: 'user', content: 'Hello' }];
-      
+
       const result = await ChatSdk.preprocess({ messages });
-      
-      expect(Message.create).toHaveBeenCalledWith({
+
+      expect(Schema.Message.create).toHaveBeenCalledWith({
         role: 'assistant',
-        content: ''
+        content: '',
       });
       expect(result).toEqual({
         role: 'assistant',
-        content: ''
+        content: '',
       });
     });
   });
@@ -47,7 +52,7 @@ describe('ChatSdk', () => {
   describe('handleChatRequest', () => {
     it('should return a 400 response if no messages are provided', async () => {
       const request = {
-        json: vi.fn().mockResolvedValue({ messages: [] })
+        json: vi.fn().mockResolvedValue({ messages: [] }),
       };
       const ctx = {
         openai: {},
@@ -56,13 +61,13 @@ describe('ChatSdk', () => {
         env: {
           SERVER_COORDINATOR: {
             idFromName: vi.fn(),
-            get: vi.fn()
-          }
-        }
+            get: vi.fn(),
+          },
+        },
       };
 
       const response = await ChatSdk.handleChatRequest(request as any, ctx as any);
-      
+
       expect(response.status).toBe(400);
       expect(await response.text()).toBe('No messages provided');
     });
@@ -70,22 +75,22 @@ describe('ChatSdk', () => {
     it('should save stream data and return a response with streamUrl', async () => {
       const streamId = 'test-uuid';
       vi.stubGlobal('crypto', {
-        randomUUID: vi.fn().mockReturnValue(streamId)
+        randomUUID: vi.fn().mockReturnValue(streamId),
       });
 
       const messages = [{ role: 'user', content: 'Hello' }];
       const model = 'gpt-4';
       const conversationId = 'conv-123';
-      
+
       const request = {
-        json: vi.fn().mockResolvedValue({ messages, model, conversationId })
+        json: vi.fn().mockResolvedValue({ messages, model, conversationId }),
       };
-      
+
       const saveStreamData = vi.fn();
       const durableObject = {
-        saveStreamData
+        saveStreamData,
       };
-      
+
       const ctx = {
         openai: {},
         systemPrompt: 'System prompt',
@@ -93,22 +98,19 @@ describe('ChatSdk', () => {
         env: {
           SERVER_COORDINATOR: {
             idFromName: vi.fn().mockReturnValue('object-id'),
-            get: vi.fn().mockReturnValue(durableObject)
-          }
-        }
+            get: vi.fn().mockReturnValue(durableObject),
+          },
+        },
       };
 
       const response = await ChatSdk.handleChatRequest(request as any, ctx as any);
       const responseBody = await response.json();
-      
+
       expect(ctx.env.SERVER_COORDINATOR.idFromName).toHaveBeenCalledWith('stream-index');
       expect(ctx.env.SERVER_COORDINATOR.get).toHaveBeenCalledWith('object-id');
-      expect(saveStreamData).toHaveBeenCalledWith(
-        streamId,
-        expect.stringContaining(model)
-      );
+      expect(saveStreamData).toHaveBeenCalledWith(streamId, expect.stringContaining(model));
       expect(responseBody).toEqual({
-        streamUrl: `/api/streams/${streamId}`
+        streamUrl: `/api/streams/${streamId}`,
       });
     });
   });
@@ -118,21 +120,21 @@ describe('ChatSdk', () => {
       const messages = [{ role: 'user', content: 'Hello' }];
       const dynamicMaxTokens = vi.fn().mockResolvedValue(500);
       const durableObject = {
-        dynamicMaxTokens
+        dynamicMaxTokens,
       };
-      
+
       const ctx = {
         maxTokens: 1000,
         env: {
           SERVER_COORDINATOR: {
             idFromName: vi.fn().mockReturnValue('object-id'),
-            get: vi.fn().mockReturnValue(durableObject)
-          }
-        }
+            get: vi.fn().mockReturnValue(durableObject),
+          },
+        },
       };
 
       await ChatSdk.calculateMaxTokens(messages, ctx as any);
-      
+
       expect(ctx.env.SERVER_COORDINATOR.idFromName).toHaveBeenCalledWith('dynamic-token-counter');
       expect(ctx.env.SERVER_COORDINATOR.get).toHaveBeenCalledWith('object-id');
       expect(dynamicMaxTokens).toHaveBeenCalledWith(messages, 1000);
@@ -142,96 +144,94 @@ describe('ChatSdk', () => {
   describe('buildAssistantPrompt', () => {
     it('should call AssistantSdk.getAssistantPrompt with the correct parameters', () => {
       vi.mocked(AssistantSdk.getAssistantPrompt).mockReturnValue('Assistant prompt');
-      
+
       const result = ChatSdk.buildAssistantPrompt({ maxTokens: 1000 });
-      
+
       expect(AssistantSdk.getAssistantPrompt).toHaveBeenCalledWith({
         maxTokens: 1000,
         userTimezone: 'UTC',
-        userLocation: 'USA/unknown'
+        userLocation: 'USA/unknown',
       });
       expect(result).toBe('Assistant prompt');
     });
   });
 
   describe('buildMessageChain', () => {
-    it('should build a message chain with system role for most models', () => {
-      vi.mocked(getModelFamily).mockReturnValue('openai');
-      
-      const messages = [
-        { role: 'user', content: 'Hello' }
-      ];
-      
+    // TODO: Fix this test
+    it('should build a message chain with system role for most models', async () => {
+      ProviderRepository.getModelFamily.mockResolvedValue('openai');
+
+      const messages = [{ role: 'user', content: 'Hello' }];
+
       const opts = {
         systemPrompt: 'System prompt',
         assistantPrompt: 'Assistant prompt',
         toolResults: { role: 'tool', content: 'Tool result' },
-        model: 'gpt-4'
+        model: 'gpt-4',
+        env: {},
       };
-      
-      const result = ChatSdk.buildMessageChain(messages, opts as any);
-      
-      expect(getModelFamily).toHaveBeenCalledWith('gpt-4');
-      expect(Message.create).toHaveBeenCalledTimes(3);
-      expect(Message.create).toHaveBeenNthCalledWith(1, {
+
+      const result = await ChatSdk.buildMessageChain(messages, opts as any);
+
+      expect(ProviderRepository.getModelFamily).toHaveBeenCalledWith('gpt-4', {});
+      expect(Schema.Message.create).toHaveBeenCalledTimes(3);
+      expect(Schema.Message.create).toHaveBeenNthCalledWith(1, {
         role: 'system',
-        content: 'System prompt'
+        content: 'System prompt',
       });
-      expect(Message.create).toHaveBeenNthCalledWith(2, {
+      expect(Schema.Message.create).toHaveBeenNthCalledWith(2, {
         role: 'assistant',
-        content: 'Assistant prompt'
+        content: 'Assistant prompt',
       });
-      expect(Message.create).toHaveBeenNthCalledWith(3, {
+      expect(Schema.Message.create).toHaveBeenNthCalledWith(3, {
         role: 'user',
-        content: 'Hello'
+        content: 'Hello',
       });
     });
+    it('should build a message chain with assistant role for o1, gemma, claude, or google models', async () => {
+      ProviderRepository.getModelFamily.mockResolvedValue('claude');
+
+      const messages = [{ role: 'user', content: 'Hello' }];
 
-    it('should build a message chain with assistant role for o1, gemma, claude, or google models', () => {
-      vi.mocked(getModelFamily).mockReturnValue('claude');
-      
-      const messages = [
-        { role: 'user', content: 'Hello' }
-      ];
-      
       const opts = {
         systemPrompt: 'System prompt',
         assistantPrompt: 'Assistant prompt',
         toolResults: { role: 'tool', content: 'Tool result' },
-        model: 'claude-3'
+        model: 'claude-3',
+        env: {},
       };
-      
-      const result = ChatSdk.buildMessageChain(messages, opts as any);
-      
-      expect(getModelFamily).toHaveBeenCalledWith('claude-3');
-      expect(Message.create).toHaveBeenCalledTimes(3);
-      expect(Message.create).toHaveBeenNthCalledWith(1, {
+
+      const result = await ChatSdk.buildMessageChain(messages, opts as any);
+
+      expect(ProviderRepository.getModelFamily).toHaveBeenCalledWith('claude-3', {});
+      expect(Schema.Message.create).toHaveBeenCalledTimes(3);
+      expect(Schema.Message.create).toHaveBeenNthCalledWith(1, {
         role: 'assistant',
-        content: 'System prompt'
+        content: 'System prompt',
       });
     });
+    it('should filter out messages with empty content', async () => {
+      ProviderRepository.getModelFamily.mockResolvedValue('openai');
 
-    it('should filter out messages with empty content', () => {
-      vi.mocked(getModelFamily).mockReturnValue('openai');
-      
       const messages = [
         { role: 'user', content: 'Hello' },
         { role: 'user', content: '' },
         { role: 'user', content: '  ' },
-        { role: 'user', content: 'World' }
+        { role: 'user', content: 'World' },
       ];
-      
+
       const opts = {
         systemPrompt: 'System prompt',
         assistantPrompt: 'Assistant prompt',
         toolResults: { role: 'tool', content: 'Tool result' },
-        model: 'gpt-4'
+        model: 'gpt-4',
+        env: {},
       };
-      
-      const result = ChatSdk.buildMessageChain(messages, opts as any);
-      
+
+      const result = await ChatSdk.buildMessageChain(messages, opts as any);
+
       // 2 system/assistant messages + 2 user messages (Hello and World)
-      expect(Message.create).toHaveBeenCalledTimes(4);
+      expect(Schema.Message.create).toHaveBeenCalledTimes(4);
     });
   });
-});
+});

packages/ai/src/__tests__/debug-utils.test.ts

@@ -1,5 +1,6 @@
 import { describe, it, expect } from 'vitest';
-import { Utils } from '../utils.ts';
+
+import { Utils } from '../utils/utils.ts';
 
 describe('Debug Utils.getSeason', () => {
   it('should print out the actual seasons for different dates', () => {

packages/ai/src/__tests__/handleStreamData.test.ts

@@ -1,13 +1,14 @@
 import { describe, it, expect, vi, beforeEach } from 'vitest';
-import handleStreamData from '../handleStreamData.ts';
+
+import handleStreamData from '../utils/handleStreamData.ts';
 
 describe('handleStreamData', () => {
   // Setup mocks
   const mockController = {
-    enqueue: vi.fn()
+    enqueue: vi.fn(),
   };
   const mockEncoder = {
-    encode: vi.fn((str) => str)
+    encode: vi.fn(str => str),
   };
 
   beforeEach(() => {
@@ -16,75 +17,77 @@ describe('handleStreamData', () => {
 
   it('should return early if data type is not "chat"', () => {
     const handler = handleStreamData(mockController as any, mockEncoder as any);
-    
+
     handler({ type: 'not-chat', data: {} });
-    
+
     expect(mockController.enqueue).not.toHaveBeenCalled();
     expect(mockEncoder.encode).not.toHaveBeenCalled();
   });
 
   it('should return early if data is undefined', () => {
     const handler = handleStreamData(mockController as any, mockEncoder as any);
-    
+
     handler(undefined as any);
-    
+
     expect(mockController.enqueue).not.toHaveBeenCalled();
     expect(mockEncoder.encode).not.toHaveBeenCalled();
   });
 
   it('should handle content_block_start type data', () => {
     const handler = handleStreamData(mockController as any, mockEncoder as any);
-    
+
     const data = {
       type: 'chat',
       data: {
         type: 'content_block_start',
         content_block: {
           type: 'text',
-          text: 'Hello world'
-        }
-      }
+          text: 'Hello world',
+        },
+      },
     };
-    
+
     handler(data);
-    
+
     expect(mockController.enqueue).toHaveBeenCalledTimes(1);
     expect(mockEncoder.encode).toHaveBeenCalledWith(expect.stringContaining('Hello world'));
-    
+
+    // @ts-expect-error - mock
     const encodedData = mockEncoder.encode.mock.calls[0][0];
     const parsedData = JSON.parse(encodedData.split('data: ')[1]);
-    
+
     expect(parsedData.type).toBe('chat');
     expect(parsedData.data.choices[0].delta.content).toBe('Hello world');
   });
 
   it('should handle delta.text type data', () => {
     const handler = handleStreamData(mockController as any, mockEncoder as any);
-    
+
     const data = {
       type: 'chat',
       data: {
         delta: {
-          text: 'Hello world'
-        }
-      }
+          text: 'Hello world',
+        },
+      },
     };
-    
+
     handler(data);
-    
+
     expect(mockController.enqueue).toHaveBeenCalledTimes(1);
     expect(mockEncoder.encode).toHaveBeenCalledWith(expect.stringContaining('Hello world'));
-    
+
+    // @ts-expect-error - mock
     const encodedData = mockEncoder.encode.mock.calls[0][0];
     const parsedData = JSON.parse(encodedData.split('data: ')[1]);
-    
+
     expect(parsedData.type).toBe('chat');
     expect(parsedData.data.choices[0].delta.content).toBe('Hello world');
   });
 
   it('should handle choices[0].delta.content type data', () => {
     const handler = handleStreamData(mockController as any, mockEncoder as any);
-    
+
     const data = {
       type: 'chat',
       data: {
@@ -92,23 +95,24 @@ describe('handleStreamData', () => {
           {
             index: 0,
             delta: {
-              content: 'Hello world'
+              content: 'Hello world',
             },
             logprobs: null,
-            finish_reason: null
-          }
-        ]
-      }
+            finish_reason: null,
+          },
+        ],
+      },
     };
-    
+
     handler(data);
-    
+
     expect(mockController.enqueue).toHaveBeenCalledTimes(1);
     expect(mockEncoder.encode).toHaveBeenCalledWith(expect.stringContaining('Hello world'));
-    
+
+    // @ts-expect-error - mock
     const encodedData = mockEncoder.encode.mock.calls[0][0];
     const parsedData = JSON.parse(encodedData.split('data: ')[1]);
-    
+
     expect(parsedData.type).toBe('chat');
     expect(parsedData.data.choices[0].delta.content).toBe('Hello world');
     expect(parsedData.data.choices[0].finish_reason).toBe(null);
@@ -116,7 +120,7 @@ describe('handleStreamData', () => {
 
   it('should pass through data with choices but no delta.content', () => {
     const handler = handleStreamData(mockController as any, mockEncoder as any);
-    
+
     const data = {
       type: 'chat',
       data: {
@@ -125,64 +129,66 @@ describe('handleStreamData', () => {
             index: 0,
             delta: {},
             logprobs: null,
-            finish_reason: 'stop'
-          }
-        ]
-      }
+            finish_reason: 'stop',
+          },
+        ],
+      },
     };
-    
-    handler(data);
-    
+
+    handler(data as any);
+
     expect(mockController.enqueue).toHaveBeenCalledTimes(1);
-    expect(mockEncoder.encode).toHaveBeenCalledWith(expect.stringContaining('"finish_reason":"stop"'));
+    expect(mockEncoder.encode).toHaveBeenCalledWith(
+      expect.stringContaining('"finish_reason":"stop"'),
+    );
   });
 
   it('should return early for unrecognized data format', () => {
     const handler = handleStreamData(mockController as any, mockEncoder as any);
-    
+
     const data = {
       type: 'chat',
       data: {
         // No recognized properties
-        unrecognized: 'property'
-      }
+        unrecognized: 'property',
+      },
     };
-    
-    handler(data);
-    
+
+    handler(data as any);
+
     expect(mockController.enqueue).not.toHaveBeenCalled();
     expect(mockEncoder.encode).not.toHaveBeenCalled();
   });
 
   it('should use custom transform function if provided', () => {
     const handler = handleStreamData(mockController as any, mockEncoder as any);
-    
+
     const data = {
       type: 'chat',
       data: {
-        original: 'data'
-      }
+        original: 'data',
+      },
     };
-    
+
     const transformFn = vi.fn().mockReturnValue({
       type: 'chat',
       data: {
         choices: [
           {
             delta: {
-              content: 'Transformed content'
+              content: 'Transformed content',
             },
             logprobs: null,
-            finish_reason: null
-          }
-        ]
-      }
+            finish_reason: null,
+          },
+        ],
+      },
     });
-    
-    handler(data, transformFn);
-    
+
+    handler(data as any, transformFn);
+
     expect(transformFn).toHaveBeenCalledWith(data);
     expect(mockController.enqueue).toHaveBeenCalledTimes(1);
     expect(mockEncoder.encode).toHaveBeenCalledWith(expect.stringContaining('Transformed content'));
   });
-});
+});

packages/ai/src/__tests__/utils.test.ts

@@ -1,5 +1,6 @@
 import { describe, it, expect, vi, beforeEach, afterEach } from 'vitest';
-import { Utils } from '../utils.ts';
+
+import { Utils } from '../utils/utils.ts';
 
 describe('Utils', () => {
   describe('getSeason', () => {
@@ -42,10 +43,11 @@ describe('Utils', () => {
 
     beforeEach(() => {
       // Mock Intl.DateTimeFormat
+      // @ts-expect-error - mock
       global.Intl.DateTimeFormat = vi.fn().mockReturnValue({
         resolvedOptions: vi.fn().mockReturnValue({
-          timeZone: 'America/New_York'
-        })
+          timeZone: 'America/New_York',
+        }),
       });
     });
 
@@ -102,10 +104,10 @@ describe('Utils', () => {
 
     it('should select items equitably from multiple sources', () => {
       const sources = {
-        a: { 'key1': 'value1', 'key2': 'value2' },
-        b: { 'key3': 'value3', 'key4': 'value4' },
-        c: { 'key5': 'value5', 'key6': 'value6' },
-        d: { 'key7': 'value7', 'key8': 'value8' }
+        a: { key1: 'value1', key2: 'value2' },
+        b: { key3: 'value3', key4: 'value4' },
+        c: { key5: 'value5', key6: 'value6' },
+        d: { key7: 'value7', key8: 'value8' },
       };
 
       const result = Utils.selectEquitably(sources, 4);
@@ -117,10 +119,10 @@ describe('Utils', () => {
 
     it('should handle itemCount greater than available items', () => {
       const sources = {
-        a: { 'key1': 'value1' },
-        b: { 'key2': 'value2' },
+        a: { key1: 'value1' },
+        b: { key2: 'value2' },
         c: {},
-        d: {}
+        d: {},
       };
 
       const result = Utils.selectEquitably(sources, 5);
@@ -135,7 +137,7 @@ describe('Utils', () => {
         a: {},
         b: {},
         c: {},
-        d: {}
+        d: {},
       };
 
       const result = Utils.selectEquitably(sources, 5);
@@ -148,10 +150,10 @@ describe('Utils', () => {
     it('should insert blank messages to maintain user/assistant alternation', () => {
       const messages = [
         { role: 'user', content: 'Hello' },
-        { role: 'user', content: 'How are you?' }
+        { role: 'user', content: 'How are you?' },
       ];
 
-      const result = Utils.normalizeWithBlanks(messages);
+      const result = Utils.normalizeWithBlanks(messages as any[]);
 
       expect(result.length).toBe(3);
       expect(result[0]).toEqual({ role: 'user', content: 'Hello' });
@@ -160,11 +162,9 @@ describe('Utils', () => {
     });
 
     it('should insert blank user message if first message is assistant', () => {
-      const messages = [
-        { role: 'assistant', content: 'Hello, how can I help?' }
-      ];
+      const messages = [{ role: 'assistant', content: 'Hello, how can I help?' }];
 
-      const result = Utils.normalizeWithBlanks(messages);
+      const result = Utils.normalizeWithBlanks(messages as any[]);
 
       expect(result.length).toBe(2);
       expect(result[0]).toEqual({ role: 'user', content: '' });
@@ -183,10 +183,10 @@ describe('Utils', () => {
       const messages = [
         { role: 'user', content: 'Hello' },
         { role: 'assistant', content: 'Hi there' },
-        { role: 'user', content: 'How are you?' }
+        { role: 'user', content: 'How are you?' },
       ];
 
-      const result = Utils.normalizeWithBlanks(messages);
+      const result = Utils.normalizeWithBlanks(messages as any[]);
 
       expect(result.length).toBe(3);
       expect(result).toEqual(messages);

packages/ai/src/assistant-sdk/assistant-sdk.ts

@@ -0,0 +1,57 @@
+import Prompts from '../prompts';
+import { Common } from '../utils';
+
+export class AssistantSdk {
+  static getAssistantPrompt(params: {
+    maxTokens?: number;
+    userTimezone?: string;
+    userLocation?: string;
+  }): string {
+    const { maxTokens, userTimezone = 'UTC', userLocation = '' } = params;
+    // console.log('[DEBUG_LOG] few_shots:', JSON.stringify(few_shots));
+    let selectedFewshots = Common.Utils.selectEquitably?.(Prompts.FewShots);
+    // console.log('[DEBUG_LOG] selectedFewshots after Utils.selectEquitably:', JSON.stringify(selectedFewshots));
+    if (!selectedFewshots) {
+      selectedFewshots = Prompts.FewShots;
+      // console.log('[DEBUG_LOG] selectedFewshots after fallback:', JSON.stringify(selectedFewshots));
+    }
+    const sdkDate = new Date().toISOString();
+    const [currentDate] = sdkDate.includes('T') ? sdkDate.split('T') : [sdkDate];
+    const now = new Date();
+    const formattedMinutes = String(now.getMinutes()).padStart(2, '0');
+    const currentTime = `${now.getHours()}:${formattedMinutes} ${now.getSeconds()}s`;
+
+    return `# Assistant Knowledge
+## Assistant Name
+### open-gsio
+## Current Context
+### Date: ${currentDate} ${currentTime}
+${maxTokens ? `### Max Response Length: ${maxTokens} tokens (maximum)` : ''}
+### Lexicographical Format: Markdown
+### User Location: ${userLocation || 'Unknown'}
+### Timezone: ${userTimezone}
+## Response Framework
+1. Use knowledge provided in the current context as the primary source of truth.
+2. Format all responses in Markdown.
+3. Attribute external sources with footnotes.
+4. Do not bold headers.
+## Examples
+#### Example 0
+HUMAN: What is this?
+ASSISTANT: This is a conversational AI system.
+---
+${AssistantSdk.useFewshots(selectedFewshots, 5)}
+---
+## Directive
+Continuously monitor the evolving conversation. Dynamically adapt each response.`;
+  }
+
+  static useFewshots(fewshots: Record<string, string>, limit = 5): string {
+    return Object.entries(fewshots)
+      .slice(0, limit)
+      .map(([q, a], i) => {
+        return `#### Example ${i + 1}\nHUMAN: ${q}\nASSISTANT: ${a}`;
+      })
+      .join('\n---\n');
+  }
+}

packages/ai/src/assistant-sdk/index.ts

@@ -0,0 +1,3 @@
+import { AssistantSdk } from './assistant-sdk.ts';
+
+export { AssistantSdk };

packages/ai/src/chat-sdk/chat-sdk.ts

@@ -0,0 +1,138 @@
+import { Schema } from '@open-gsio/schema';
+import type { Instance } from 'mobx-state-tree';
+import { OpenAI } from 'openai';
+
+import type Message from '../../../schema/src/models/Message.ts';
+import { AssistantSdk } from '../assistant-sdk';
+import { ProviderRepository } from '../providers/_ProviderRepository.ts';
+import type {
+  BuildAssistantPromptParams,
+  ChatRequestBody,
+  GenericEnv,
+  PreprocessParams,
+} from '../types';
+
+export class ChatSdk {
+  static async preprocess(params: PreprocessParams) {
+    //   a slot for to provide additional context
+    return Schema.Message.create({
+      role: 'assistant',
+      content: '',
+    });
+  }
+
+  static async handleChatRequest(
+    request: Request,
+    ctx: {
+      openai: OpenAI;
+      systemPrompt: any;
+      maxTokens: any;
+      env: GenericEnv;
+    },
+  ) {
+    const streamId = crypto.randomUUID();
+    const { messages, model, conversationId } = (await request.json()) as ChatRequestBody;
+
+    if (!messages?.length) {
+      return new Response('No messages provided', { status: 400 });
+    }
+
+    const preprocessedContext = await ChatSdk.preprocess({
+      messages,
+    });
+    // console.log(ctx.env)
+    // console.log(ctx.env.SERVER_COORDINATOR);
+
+    const objectId = ctx.env.SERVER_COORDINATOR.idFromName('stream-index');
+    const durableObject = ctx.env.SERVER_COORDINATOR.get(objectId);
+
+    await durableObject.saveStreamData(
+      streamId,
+      JSON.stringify({
+        messages,
+        model,
+        conversationId,
+        timestamp: Date.now(),
+        systemPrompt: ctx.systemPrompt,
+        preprocessedContext,
+      }),
+    );
+
+    return new Response(
+      JSON.stringify({
+        streamUrl: `/api/streams/${streamId}`,
+      }),
+      {
+        headers: {
+          'Content-Type': 'application/json',
+        },
+      },
+    );
+  }
+
+  static async calculateMaxTokens(
+    messages: any[],
+    ctx: Record<string, any> & {
+      env: GenericEnv;
+      maxTokens: number;
+    },
+  ) {
+    const objectId = ctx.env.SERVER_COORDINATOR.idFromName('dynamic-token-counter');
+    const durableObject = ctx.env.SERVER_COORDINATOR.get(objectId);
+    return durableObject.dynamicMaxTokens(messages, ctx.maxTokens);
+  }
+
+  static buildAssistantPrompt(params: BuildAssistantPromptParams) {
+    const { maxTokens } = params;
+    return AssistantSdk.getAssistantPrompt({
+      maxTokens,
+      userTimezone: 'UTC',
+      userLocation: 'USA/unknown',
+    });
+  }
+
+  static async buildMessageChain(
+    messages: any[],
+    opts: {
+      systemPrompt: any;
+      assistantPrompt: string;
+      toolResults: Instance<typeof Message>;
+      model: any;
+      env: GenericEnv;
+    },
+  ) {
+    const modelFamily = await ProviderRepository.getModelFamily(opts.model, opts.env);
+
+    const messagesToSend = [];
+
+    messagesToSend.push(
+      Schema.Message.create({
+        role:
+          opts.model.includes('o1') ||
+          opts.model.includes('gemma') ||
+          modelFamily === 'claude' ||
+          modelFamily === 'google'
+            ? 'assistant'
+            : 'system',
+        content: opts.systemPrompt.trim(),
+      }),
+    );
+
+    messagesToSend.push(
+      Schema.Message.create({
+        role: 'assistant',
+        content: opts.assistantPrompt.trim(),
+      }),
+    );
+
+    messagesToSend.push(
+      ...messages
+        .filter((message: any) => message.content?.trim())
+        .map((message: any) => Schema.Message.create(message)),
+    );
+
+    return messagesToSend;
+  }
+}
+
+export default ChatSdk;

packages/ai/src/chat-sdk/index.ts

@@ -0,0 +1 @@
+export * from './chat-sdk.ts';

packages/ai/src/index.ts

@@ -0,0 +1,2 @@
+export * from './providers';
+export * from './chat-sdk';

packages/ai/src/prompts/few_shots.ts

@@ -1,50 +1,49 @@
+/* eslint-disable no-useless-escape */
 const a = {
-  "Can you search for the latest quantum computing breakthroughs?":
-    "I don't have web access.",
+  'Can you search for the latest quantum computing breakthroughs?': "I don't have web access.",
 };
 
 const b = {
-  "Calculate the number of unique ways to arrange the letters in the word 'SUCCESS'.": `
-Alright, let's tackle 'SUCCESS' and see just how unique it can get!
-1. Step 1: Count the Letters  
+  'Calculate the number of unique ways to arrange the letters in the word SUCCESS.': `Alright, let's tackle 'SUCCESS' and see just how unique it can get!
+### Step 1: Count the Letters  
 The word 'SUCCESS' has 7 letters, but it’s no free-for-all—there are repeats!  
 - S: 3 times  
 - U: 1 time  
 - C: 2 times  
 - E: 1 time  
-Erdős would call this a combinatorial party with some guests arriving multiple times.
-2. Step 2: The Formula for Permutations with Repetition 
+### Step 2: The Formula for Permutations with Repetition 
 When letters repeat, we divide to avoid overcounting. The magic formula is:  
 $$
 \frac{n!}{k_1! \cdot k_2! \cdot \ldots \cdot k_m!}
 $$  
 Here, (n) is the total number of letters, and (k_i) are the frequencies of each unique letter.
-3. Step 3: Plug in the Values
+### Step 3. Plug in the Values
 Let’s compute:  
 $$
 \frac{7!}{3! \cdot 1! \cdot 2! \cdot 1!} = 420
 $$
 
-4. Step 4: Reveal the Result  
-There are **420 unique arrangements** of 'SUCCESS'. Mathematically satisfying, isn’t it? It’s as if every version of success gets its own unique permutation!`,
-  "Calculate the number of unique ways to arrange the letters in the word 'MISSISSIPPI'.": `Ready for some permutation wizardry? Let’s decode 'MISSISSIPPI'!
-1. Step 1: Count the Letters  
+### Step 4: Reveal the Result  
+There are 420 unique arrangements of 'SUCCESS'. Mathematically satisfying, isn’t it? It’s as if every version of success gets its own unique permutation!`,
+
+  'Calculate the number of unique ways to arrange the letters in the word MISSISSIPPI.': `Ready for some permutation wizardry? Let’s decode 'MISSISSIPPI'!
+### Step 1: Count the Letters  
 'MISSISSIPPI' has 11 letters. But like a social network with cliques, some letters appear in multiples:  
 - M: 1  
 - I: 4  
 - S: 4  
 - P: 2
-2. Step 2: Apply the Permutation Formula for Repetition  
+### Step 2: Apply the Permutation Formula for Repetition  
 The formula for such a case is:  
 $$
 \frac{n!}{k_1! \cdot k_2! \cdot \ldots \cdot k_m!}
 $$
-3. Step 3: Plug in the Values
+### Step 3: Plug in the Values
 Here’s where we let the math do its magic:  
 $$
 \frac{11!}{1! \cdot 4! \cdot 4! \cdot 2!}
 $$
-4. Step 4: Simplify Step-by-Step  
+### Step 4: Simplify Step-by-Step  
 Let’s break it down:  
 - (11! = 39,916,800)  
 - (4! = 24)  
@@ -53,19 +52,17 @@ Let’s break it down:
 $$
 \frac{39,916,800}{1 \cdot 24 \cdot 24 \cdot 2} = 34,650
 $$
-5. Step 5: The Grand Finale
-There are **34,650 unique arrangements** of 'MISSISSIPPI'. Erdős would marvel at the sheer elegance of these numbers—much like the way rivers meander through the land, permutations flow through possibilities.`,
+### Step 5: The Grand Finale
+There are 34,650 unique arrangements of 'MISSISSIPPI'.`,
 };
 
 const c = {
-  // c remains unchanged as it contains image generation prompts
-  "Render a Greek statue with warm marble tones and realistic proportions.":
+  'Render a Greek statue with warm marble tones and realistic proportions.':
     "I don't have the ability to generate images right now. ",
 };
 
 const d = {
-  "Demonstrate all outputs.": `
-# Comprehensive Markdown Showcase
+  'Demonstrate markdown formatted text.': `
 ## Headers
 ~~~markdown
 # Large Header
@@ -73,80 +70,48 @@ const d = {
 ### Small Header
 ~~~
 ## Ordered Lists
-~~~markdown
 1. First Item
 2. Second Item
    1. Subitem 1
    2. Subitem 2
 3. Third Item
-~~~
 ## Unordered Lists
-~~~markdown
 - First Item
 - Second Item
   - Subitem 1
   - Subitem 2
-~~~  
 ## Links
-~~~markdown
 [Visit OpenAI](https://openai.com/)
-~~~
 ## Images
-~~~markdown
-![Example Image](example.jpg)
-~~~
 ![Example Image](example.jpg)
 ## Inline Code
-~~~markdown
 \`console.log('Hello, Markdown!')\`
-~~~
 ## Code Blocks
-\`\`\`markdown
 ~~~javascript
 console.log(marked.parse('A Description List:\\n'
                  + ':   Topic 1   :  Description 1\\n'
-                 + ': **Topic 2** : *Description 2*'));
+                 + ': Topic 2 : Description 2'));
 ~~~
-\`\`\`
 ## Tables
-~~~markdown
 | Name    | Value |
 |---------|-------|
 | Item A  | 10    |
 | Item B  | 20    |
-~~~
 ## Blockquotes
-~~~markdown
 > Markdown makes writing beautiful.
 > - Markdown Fan
-~~~
 ## Horizontal Rule
-~~~markdown
 ---
-~~~
 ## Font: Bold and Italic
-~~~markdown
-**Bold Text**  
+**Bold Text**
 *Italic Text*
-~~~
 ## Font: Strikethrough
-~~~markdown
 ~~Struck-through text~~
-~~~
----
-## Math: Inline 
-This is block level katex:
+## Math 
 ~~~markdown
 $$
 c = \\\\pm\\\\sqrt{a^2 + b^2}
-$$
-~~~
-## Math: Block
-This is inline katex 
-~~~markdown
-$c = \\\\pm\\\\sqrt{a^2 + b^2}$
-~~~
-`,
+$$`,
 };
 
 export default { a, b, c, d };

packages/ai/src/prompts/index.ts

@@ -0,0 +1,5 @@
+import few_shots from './few_shots.ts';
+
+export default {
+  FewShots: few_shots,
+};

packages/ai/src/providers/_ProviderRepository.ts

@@ -0,0 +1,96 @@
+import type { GenericEnv, ModelMeta, Providers, SupportedProvider } from '../types';
+
+export class ProviderRepository {
+  #providers: Providers = [];
+  #env: GenericEnv;
+
+  constructor(env: GenericEnv) {
+    this.#env = env;
+    this.setProviders(env);
+  }
+
+  static OPENAI_COMPAT_ENDPOINTS = {
+    xai: 'https://api.x.ai/v1',
+    groq: 'https://api.groq.com/openai/v1',
+    google: 'https://generativelanguage.googleapis.com/v1beta/openai',
+    fireworks: 'https://api.fireworks.ai/inference/v1',
+    cohere: 'https://api.cohere.ai/compatibility/v1',
+    cloudflare: 'https://api.cloudflare.com/client/v4/accounts/{CLOUDFLARE_ACCOUNT_ID}/ai/v1',
+    claude: 'https://api.anthropic.com/v1',
+    openai: 'https://api.openai.com/v1',
+    cerebras: 'https://api.cerebras.com/v1',
+    ollama: 'http://localhost:11434/v1',
+    mlx: 'http://localhost:10240/v1',
+  };
+
+  static async getModelFamily(model: any, env: GenericEnv) {
+    const allModels = await env.KV_STORAGE.get('supportedModels');
+    const models = JSON.parse(allModels);
+    const modelData = models.filter((m: ModelMeta) => m.id === model);
+    return modelData[0].provider;
+  }
+
+  static async getModelMeta(meta: any, env: GenericEnv) {
+    const allModels = await env.KV_STORAGE.get('supportedModels');
+    const models = JSON.parse(allModels);
+    return models.filter((m: ModelMeta) => m.id === meta.model).pop();
+  }
+
+  getProviders(): { name: string; key: string; endpoint: string }[] {
+    return this.#providers;
+  }
+
+  setProviders(env: GenericEnv) {
+    const indicies = {
+      providerName: 0,
+      providerValue: 1,
+    };
+    const valueDelimiter = '_';
+    const envKeys = Object.keys(env);
+    for (let i = 0; i < envKeys.length; i++) {
+      if (envKeys.at(i)?.endsWith('KEY')) {
+        const detectedProvider = envKeys
+          .at(i)
+          ?.split(valueDelimiter)
+          .at(indicies.providerName)
+          ?.toLowerCase();
+        const detectedProviderValue = env[envKeys.at(i) as string];
+        if (detectedProviderValue) {
+          switch (detectedProvider) {
+            case 'anthropic':
+              this.#providers.push({
+                name: 'claude',
+                key: env.ANTHROPIC_API_KEY,
+                endpoint: ProviderRepository.OPENAI_COMPAT_ENDPOINTS['claude'],
+              });
+              break;
+            case 'gemini':
+              this.#providers.push({
+                name: 'google',
+                key: env.GEMINI_API_KEY,
+                endpoint: ProviderRepository.OPENAI_COMPAT_ENDPOINTS['google'],
+              });
+              break;
+            case 'cloudflare':
+              this.#providers.push({
+                name: 'cloudflare',
+                key: env.CLOUDFLARE_API_KEY,
+                endpoint: ProviderRepository.OPENAI_COMPAT_ENDPOINTS[detectedProvider].replace(
+                  '{CLOUDFLARE_ACCOUNT_ID}',
+                  env.CLOUDFLARE_ACCOUNT_ID,
+                ),
+              });
+              break;
+            default:
+              this.#providers.push({
+                name: detectedProvider as SupportedProvider,
+                key: env[envKeys[i] as string],
+                endpoint:
+                  ProviderRepository.OPENAI_COMPAT_ENDPOINTS[detectedProvider as SupportedProvider],
+              });
+          }
+        }
+      }
+    }
+  }
+}

packages/ai/src/providers/__tests__/chat-stream-provider.test.ts

@@ -1,6 +1,11 @@
-import { describe, it, expect, vi } from 'vitest';
-import { BaseChatProvider, CommonProviderParams, ChatStreamProvider } from '../chat-stream-provider.ts';
 import { OpenAI } from 'openai';
+import { describe, it, expect, vi } from 'vitest';
+
+import {
+  BaseChatProvider,
+  CommonProviderParams,
+  ChatStreamProvider,
+} from '../chat-stream-provider.ts';
 
 // Create a concrete implementation of BaseChatProvider for testing
 class TestChatProvider extends BaseChatProvider {
@@ -29,16 +34,16 @@ vi.mock('../../lib/chat-sdk', () => ({
     buildAssistantPrompt: vi.fn().mockReturnValue('Assistant prompt'),
     buildMessageChain: vi.fn().mockReturnValue([
       { role: 'system', content: 'System prompt' },
-      { role: 'user', content: 'User message' }
-    ])
-  }
+      { role: 'user', content: 'User message' },
+    ]),
+  },
 }));
 
 describe('ChatStreamProvider', () => {
   it('should define the required interface', () => {
     // Verify the interface has the required method
     const mockProvider: ChatStreamProvider = {
-      handleStream: vi.fn()
+      handleStream: vi.fn(),
     };
 
     expect(mockProvider.handleStream).toBeDefined();

packages/ai/src/providers/cerebras.ts

@@ -1,17 +1,19 @@
-import {OpenAI} from "openai";
-import {BaseChatProvider, CommonProviderParams} from "./chat-stream-provider.ts";
+import { OpenAI } from 'openai';
+
+import { ProviderRepository } from './_ProviderRepository.ts';
+import { BaseChatProvider, type CommonProviderParams } from './chat-stream-provider.ts';
 
 export class CerebrasChatProvider extends BaseChatProvider {
   getOpenAIClient(param: CommonProviderParams): OpenAI {
     return new OpenAI({
-      baseURL: "https://api.cerebras.ai/v1",
+      baseURL: ProviderRepository.OPENAI_COMPAT_ENDPOINTS.cerebras,
       apiKey: param.env.CEREBRAS_API_KEY,
     });
   }
 
   getStreamParams(param: CommonProviderParams, safeMessages: any[]): any {
-      // models provided by cerebras do not follow standard tune params
-      // they must be individually configured
+    // models provided by cerebras do not follow standard tune params
+    // they must be individually configured
     // const tuningParams = {
     //   temperature: 0.86,
     //   top_p: 0.98,
@@ -23,18 +25,18 @@ export class CerebrasChatProvider extends BaseChatProvider {
     return {
       model: param.model,
       messages: safeMessages,
-      stream: true
-        // ...tuningParams
+      stream: true,
+      // ...tuningParams
     };
   }
 
   async processChunk(chunk: any, dataCallback: (data: any) => void): Promise<boolean> {
-    if (chunk.choices && chunk.choices[0]?.finish_reason === "stop") {
-      dataCallback({ type: "chat", data: chunk });
+    if (chunk.choices && chunk.choices[0]?.finish_reason === 'stop') {
+      dataCallback({ type: 'chat', data: chunk });
       return true;
     }
 
-    dataCallback({ type: "chat", data: chunk });
+    dataCallback({ type: 'chat', data: chunk });
     return false;
   }
 }
@@ -46,14 +48,13 @@ export class CerebrasSdk {
     param: {
       openai: OpenAI;
       systemPrompt: any;
-      disableWebhookGeneration: boolean;
       preprocessedContext: any;
       maxTokens: unknown | number | undefined;
       messages: any;
       model: string;
-      env: Env;
+      env: GenericEnv;
     },
-    dataCallback: (data) => void,
+    dataCallback: (data: any) => void,
   ) {
     return this.provider.handleStream(
       {

packages/ai/src/providers/chat-stream-provider.ts

@@ -0,0 +1,281 @@
+import { OpenAI } from 'openai';
+
+import ChatSdk from '../chat-sdk/chat-sdk.ts';
+import { getWeather, WeatherTool } from '../tools/weather.ts';
+import { yachtpitAi, YachtpitTools } from '../tools/yachtpit.ts';
+import type { GenericEnv } from '../types';
+
+export interface CommonProviderParams {
+  openai?: OpenAI; // Optional for providers that use a custom client.
+  systemPrompt: any;
+  preprocessedContext: any;
+  maxTokens: number | unknown | undefined;
+  messages: any;
+  model: string;
+  env: GenericEnv;
+  disableWebhookGeneration?: boolean;
+  // Additional fields can be added as needed
+}
+
+export interface ChatStreamProvider {
+  handleStream(param: CommonProviderParams, dataCallback: (data: any) => void): Promise<any>;
+}
+
+export abstract class BaseChatProvider implements ChatStreamProvider {
+  abstract getOpenAIClient(param: CommonProviderParams): OpenAI;
+  abstract getStreamParams(param: CommonProviderParams, safeMessages: any[]): any;
+  abstract processChunk(chunk: any, dataCallback: (data: any) => void): Promise<boolean>;
+
+  async handleStream(param: CommonProviderParams, dataCallback: (data: any) => void) {
+    const assistantPrompt = ChatSdk.buildAssistantPrompt({ maxTokens: param.maxTokens });
+    const safeMessages = await ChatSdk.buildMessageChain(param.messages, {
+      systemPrompt: param.systemPrompt,
+      model: param.model,
+      assistantPrompt,
+      toolResults: param.preprocessedContext,
+      env: param.env,
+    });
+
+    const client = this.getOpenAIClient(param);
+
+    const tools = [WeatherTool, YachtpitTools];
+
+    const callFunction = async (name, args) => {
+      if (name === 'get_weather') {
+        return getWeather(args.latitude, args.longitude);
+      }
+      if (name === 'ship_control') {
+        return yachtpitAi({ action: args.action, value: args.value });
+      }
+    };
+
+    // Main conversation loop - handle tool calls properly
+    let conversationComplete = false;
+    let toolCallIterations = 0;
+    const maxToolCallIterations = 5; // Prevent infinite loops
+    let toolsExecuted = false; // Track if we've executed tools
+
+    while (!conversationComplete && toolCallIterations < maxToolCallIterations) {
+      const streamParams = this.getStreamParams(param, safeMessages);
+      // Only provide tools on the first call, after that force text response
+      const currentTools = toolsExecuted ? undefined : tools;
+      const stream = await client.chat.completions.create({ ...streamParams, tools: currentTools });
+
+      let assistantMessage = '';
+      const toolCalls: any[] = [];
+
+      for await (const chunk of stream as unknown as AsyncIterable<any>) {
+        // console.log('chunk', chunk);
+
+        // Handle tool calls
+        if (chunk.choices[0]?.delta?.tool_calls) {
+          const deltaToolCalls = chunk.choices[0].delta.tool_calls;
+
+          for (const deltaToolCall of deltaToolCalls) {
+            if (deltaToolCall.index !== undefined) {
+              // Initialize or get existing tool call
+              if (!toolCalls[deltaToolCall.index]) {
+                toolCalls[deltaToolCall.index] = {
+                  id: deltaToolCall.id || '',
+                  type: deltaToolCall.type || 'function',
+                  function: {
+                    name: deltaToolCall.function?.name || '',
+                    arguments: deltaToolCall.function?.arguments || '',
+                  },
+                };
+              } else {
+                // Append to existing tool call
+                if (deltaToolCall.function?.arguments) {
+                  toolCalls[deltaToolCall.index].function.arguments +=
+                    deltaToolCall.function.arguments;
+                }
+                if (deltaToolCall.function?.name) {
+                  toolCalls[deltaToolCall.index].function.name += deltaToolCall.function.name;
+                }
+                if (deltaToolCall.id) {
+                  toolCalls[deltaToolCall.index].id += deltaToolCall.id;
+                }
+              }
+            }
+          }
+        }
+
+        // Handle regular content
+        if (chunk.choices[0]?.delta?.content) {
+          assistantMessage += chunk.choices[0].delta.content;
+        }
+
+        // Check if stream is finished
+        if (chunk.choices[0]?.finish_reason) {
+          if (chunk.choices[0].finish_reason === 'tool_calls' && toolCalls.length > 0) {
+            // Increment tool call iterations counter
+            toolCallIterations++;
+            console.log(`Tool call iteration ${toolCallIterations}/${maxToolCallIterations}`);
+
+            // Execute tool calls and add results to conversation
+            console.log('Executing tool calls:', toolCalls);
+
+            // Send feedback to user about tool invocation
+            dataCallback({
+              type: 'chat',
+              data: {
+                choices: [
+                  {
+                    delta: {
+                      content: `\n\n🔧 Invoking ${toolCalls.length} tool${toolCalls.length > 1 ? 's' : ''}...\n`,
+                    },
+                  },
+                ],
+              },
+            });
+
+            // Add assistant message with tool calls to conversation
+            safeMessages.push({
+              role: 'assistant',
+              content: assistantMessage || null,
+              tool_calls: toolCalls,
+            });
+
+            // Execute each tool call and add results
+            for (const toolCall of toolCalls) {
+              if (toolCall.type === 'function') {
+                const name = toolCall.function.name;
+                console.log(`Calling function: ${name}`);
+
+                // Send feedback about specific tool being called
+                dataCallback({
+                  type: 'chat',
+                  data: {
+                    choices: [
+                      {
+                        delta: {
+                          content: `📞 Calling ${name}...`,
+                        },
+                      },
+                    ],
+                  },
+                });
+
+                try {
+                  const args = JSON.parse(toolCall.function.arguments);
+                  console.log(`Function arguments:`, args);
+
+                  const result = await callFunction(name, args);
+                  console.log(`Function result:`, result);
+
+                  // Send feedback about tool completion
+                  dataCallback({
+                    type: 'chat',
+                    data: {
+                      choices: [
+                        {
+                          delta: {
+                            content: ` ✅\n`,
+                          },
+                        },
+                      ],
+                    },
+                  });
+
+                  // Add tool result to conversation
+                  safeMessages.push({
+                    role: 'tool',
+                    tool_call_id: toolCall.id,
+                    content: result?.toString() || '',
+                  });
+                } catch (error) {
+                  console.error(`Error executing tool ${name}:`, error);
+
+                  // Send feedback about tool error
+                  dataCallback({
+                    type: 'chat',
+                    data: {
+                      choices: [
+                        {
+                          delta: {
+                            content: ` ❌ Error\n`,
+                          },
+                        },
+                      ],
+                    },
+                  });
+
+                  safeMessages.push({
+                    role: 'tool',
+                    tool_call_id: toolCall.id,
+                    content: `Error: ${error.message}`,
+                  });
+                }
+              }
+            }
+
+            // Mark that tools have been executed to prevent repeated calls
+            toolsExecuted = true;
+
+            // Send feedback that tool execution is complete
+            dataCallback({
+              type: 'chat',
+              data: {
+                choices: [
+                  {
+                    delta: {
+                      content: `\n🎯 Tool execution complete. Generating response...\n\n`,
+                    },
+                  },
+                ],
+              },
+            });
+
+            // Continue conversation with tool results
+            break;
+          } else {
+            // Regular completion - send final response
+            conversationComplete = true;
+          }
+        }
+
+        // Process chunk normally for non-tool-call responses
+        if (!chunk.choices[0]?.delta?.tool_calls) {
+          console.log('after-tool-call-chunk', chunk);
+          const shouldBreak = await this.processChunk(chunk, dataCallback);
+          if (shouldBreak) {
+            conversationComplete = true;
+            break;
+          }
+        }
+      }
+    }
+
+    // Handle case where we hit maximum tool call iterations
+    if (toolCallIterations >= maxToolCallIterations && !conversationComplete) {
+      console.log('Maximum tool call iterations reached, forcing completion');
+
+      // Send a message indicating we've hit the limit and provide available information
+      dataCallback({
+        type: 'chat',
+        data: {
+          choices: [
+            {
+              delta: {
+                content:
+                  '\n\n⚠️ Maximum tool execution limit reached. Based on the available information, I can provide the following response:\n\n',
+              },
+            },
+          ],
+        },
+      });
+
+      // Make one final call without tools to get a response based on the tool results
+      const finalStreamParams = this.getStreamParams(param, safeMessages);
+      const finalStream = await client.chat.completions.create({
+        ...finalStreamParams,
+        tools: undefined, // Remove tools to force a text response
+      });
+
+      for await (const chunk of finalStream as unknown as AsyncIterable<any>) {
+        const shouldBreak = await this.processChunk(chunk, dataCallback);
+        if (shouldBreak) break;
+      }
+    }
+  }
+}

packages/ai/src/providers/claude.ts

@@ -1,14 +1,17 @@
-import Anthropic from "@anthropic-ai/sdk";
-import {OpenAI} from "openai";
-import {
+import Anthropic from '@anthropic-ai/sdk';
+import type {
   _NotCustomized,
   ISimpleType,
   ModelPropertiesDeclarationToProperties,
   ModelSnapshotType2,
   UnionStringArray,
-} from "mobx-state-tree";
-import ChatSdk from "../lib/chat-sdk.ts";
-import {BaseChatProvider, CommonProviderParams} from "./chat-stream-provider.ts";
+} from 'mobx-state-tree';
+import { OpenAI } from 'openai';
+
+import ChatSdk from '../chat-sdk/chat-sdk.ts';
+import type { GenericEnv, GenericStreamData } from '../types';
+
+import { BaseChatProvider, type CommonProviderParams } from './chat-stream-provider.ts';
 
 export class ClaudeChatProvider extends BaseChatProvider {
   private anthropic: Anthropic | null = null;
@@ -33,20 +36,20 @@ export class ClaudeChatProvider extends BaseChatProvider {
       stream: true,
       model: param.model,
       messages: safeMessages,
-      ...claudeTuningParams
+      ...claudeTuningParams,
     };
   }
 
   async processChunk(chunk: any, dataCallback: (data: any) => void): Promise<boolean> {
-    if (chunk.type === "message_stop") {
+    if (chunk.type === 'message_stop') {
       dataCallback({
-        type: "chat",
+        type: 'chat',
         data: {
           choices: [
             {
-              delta: { content: "" },
+              delta: { content: '' },
               logprobs: null,
-              finish_reason: "stop",
+              finish_reason: 'stop',
             },
           ],
         },
@@ -54,32 +57,30 @@ export class ClaudeChatProvider extends BaseChatProvider {
       return true;
     }
 
-    dataCallback({ type: "chat", data: chunk });
+    dataCallback({ type: 'chat', data: chunk });
     return false;
   }
 
   // Override the base handleStream method to use Anthropic client instead of OpenAI
-  async handleStream(
-    param: CommonProviderParams,
-    dataCallback: (data: any) => void,
-  ) {
+  async handleStream(param: CommonProviderParams, dataCallback: (data: any) => void) {
     const assistantPrompt = ChatSdk.buildAssistantPrompt({ maxTokens: param.maxTokens });
-    const safeMessages = ChatSdk.buildMessageChain(param.messages, {
+    const safeMessages = await ChatSdk.buildMessageChain(param.messages, {
       systemPrompt: param.systemPrompt,
       model: param.model,
       assistantPrompt,
       toolResults: param.preprocessedContext,
+      env: param.env,
     });
 
     const streamParams = this.getStreamParams(param, safeMessages);
 
     if (!this.anthropic) {
-      throw new Error("Anthropic client not initialized");
+      throw new Error('Anthropic client not initialized');
     }
 
     const stream = await this.anthropic.messages.create(streamParams);
 
-    for await (const chunk of stream) {
+    for await (const chunk of stream as unknown as AsyncIterable<any>) {
       const shouldBreak = await this.processChunk(chunk, dataCallback);
       if (shouldBreak) break;
     }
@@ -104,9 +105,9 @@ export class ClaudeChatSdk {
       maxTokens: unknown | number | undefined;
       messages: any;
       model: string;
-      env: Env;
+      env: GenericEnv;
     },
-    dataCallback: (data) => void,
+    dataCallback: (data: GenericStreamData) => void,
   ) {
     return this.provider.handleStream(
       {

packages/ai/src/providers/cloudflareAi.ts

@@ -0,0 +1,142 @@
+import { OpenAI } from 'openai';
+
+import { ProviderRepository } from './_ProviderRepository.ts';
+import { BaseChatProvider, type CommonProviderParams } from './chat-stream-provider.ts';
+
+export class CloudflareAiChatProvider extends BaseChatProvider {
+  getOpenAIClient(param: CommonProviderParams): OpenAI {
+    return new OpenAI({
+      apiKey: param.env.CLOUDFLARE_API_KEY,
+      baseURL: ProviderRepository.OPENAI_COMPAT_ENDPOINTS.cloudflare.replace(
+        '{CLOUDFLARE_ACCOUNT_ID}',
+        param.env.CLOUDFLARE_ACCOUNT_ID,
+      ),
+    });
+  }
+
+  getStreamParams(param: CommonProviderParams, safeMessages: any[]): any {
+    const generationParams: Record<string, any> = {
+      model: this.getModelWithPrefix(param.model),
+      messages: safeMessages,
+      stream: true,
+    };
+
+    // Set max_tokens based on model
+    if (this.getModelPrefix(param.model) === '@cf/meta') {
+      generationParams['max_tokens'] = 4096;
+    }
+
+    if (this.getModelPrefix(param.model) === '@hf/mistral') {
+      generationParams['max_tokens'] = 4096;
+    }
+
+    if (param.model.toLowerCase().includes('hermes-2-pro-mistral-7b')) {
+      generationParams['max_tokens'] = 1000;
+    }
+
+    if (param.model.toLowerCase().includes('openhermes-2.5-mistral-7b-awq')) {
+      generationParams['max_tokens'] = 1000;
+    }
+
+    if (param.model.toLowerCase().includes('deepseek-coder-6.7b-instruct-awq')) {
+      generationParams['max_tokens'] = 590;
+    }
+
+    if (param.model.toLowerCase().includes('deepseek-math-7b-instruct')) {
+      generationParams['max_tokens'] = 512;
+    }
+
+    if (param.model.toLowerCase().includes('neural-chat-7b-v3-1-awq')) {
+      generationParams['max_tokens'] = 590;
+    }
+
+    if (param.model.toLowerCase().includes('openchat-3.5-0106')) {
+      generationParams['max_tokens'] = 2000;
+    }
+
+    return generationParams;
+  }
+
+  private getModelPrefix(model: string): string {
+    let modelPrefix = `@cf/meta`;
+
+    if (model.toLowerCase().includes('llama')) {
+      modelPrefix = `@cf/meta`;
+    }
+
+    if (model.toLowerCase().includes('hermes-2-pro-mistral-7b')) {
+      modelPrefix = `@hf/nousresearch`;
+    }
+
+    if (model.toLowerCase().includes('mistral-7b-instruct')) {
+      modelPrefix = `@hf/mistral`;
+    }
+
+    if (model.toLowerCase().includes('gemma')) {
+      modelPrefix = `@cf/google`;
+    }
+
+    if (model.toLowerCase().includes('deepseek')) {
+      modelPrefix = `@cf/deepseek-ai`;
+    }
+
+    if (model.toLowerCase().includes('openchat-3.5-0106')) {
+      modelPrefix = `@cf/openchat`;
+    }
+
+    const isNueralChat = model.toLowerCase().includes('neural-chat-7b-v3-1-awq');
+    if (
+      isNueralChat ||
+      model.toLowerCase().includes('openhermes-2.5-mistral-7b-awq') ||
+      model.toLowerCase().includes('zephyr-7b-beta-awq') ||
+      model.toLowerCase().includes('deepseek-coder-6.7b-instruct-awq')
+    ) {
+      modelPrefix = `@hf/thebloke`;
+    }
+
+    return modelPrefix;
+  }
+
+  private getModelWithPrefix(model: string): string {
+    return `${this.getModelPrefix(model)}/${model}`;
+  }
+
+  async processChunk(chunk: any, dataCallback: (data: any) => void): Promise<boolean> {
+    if (chunk.choices && chunk.choices[0]?.finish_reason === 'stop') {
+      dataCallback({ type: 'chat', data: chunk });
+      return true;
+    }
+
+    dataCallback({ type: 'chat', data: chunk });
+    return false;
+  }
+}
+
+export class CloudflareAISdk {
+  private static provider = new CloudflareAiChatProvider();
+
+  static async handleCloudflareAIStream(
+    param: {
+      openai: OpenAI;
+      systemPrompt: any;
+      preprocessedContext: any;
+      maxTokens: unknown | number | undefined;
+      messages: any;
+      model: string;
+      env: Env;
+    },
+    dataCallback: (data: any) => void,
+  ) {
+    return this.provider.handleStream(
+      {
+        systemPrompt: param.systemPrompt,
+        preprocessedContext: param.preprocessedContext,
+        maxTokens: param.maxTokens,
+        messages: param.messages,
+        model: param.model,
+        env: param.env,
+      },
+      dataCallback,
+    );
+  }
+}

packages/ai/src/providers/fireworks.ts

@@ -0,0 +1,77 @@
+import { OpenAI } from 'openai';
+
+import { ProviderRepository } from './_ProviderRepository.ts';
+import { BaseChatProvider, type CommonProviderParams } from './chat-stream-provider.ts';
+
+export class FireworksAiChatProvider extends BaseChatProvider {
+  getOpenAIClient(param: CommonProviderParams): OpenAI {
+    return new OpenAI({
+      apiKey: param.env.FIREWORKS_API_KEY,
+      baseURL: ProviderRepository.OPENAI_COMPAT_ENDPOINTS.fireworks,
+    });
+  }
+
+  getStreamParams(param: CommonProviderParams, safeMessages: any[]): any {
+    let modelPrefix = 'accounts/fireworks/models/';
+    if (param.model.toLowerCase().includes('yi-')) {
+      modelPrefix = 'accounts/yi-01-ai/models/';
+    } else if (param.model.toLowerCase().includes('/perplexity/')) {
+      modelPrefix = 'accounts/perplexity/models/';
+    } else if (param.model.toLowerCase().includes('/sentientfoundation/')) {
+      modelPrefix = 'accounts/sentientfoundation/models/';
+    } else if (param.model.toLowerCase().includes('/sentientfoundation-serverless/')) {
+      modelPrefix = 'accounts/sentientfoundation-serverless/models/';
+    } else if (param.model.toLowerCase().includes('/instacart/')) {
+      modelPrefix = 'accounts/instacart/models/';
+    }
+    const finalModelIdentifier = param.model.includes(modelPrefix)
+      ? param.model
+      : `${modelPrefix}${param.model}`;
+    console.log('using fireworks model', finalModelIdentifier);
+    return {
+      model: finalModelIdentifier,
+      messages: safeMessages,
+      stream: true,
+    };
+  }
+
+  async processChunk(chunk: any, dataCallback: (data: any) => void): Promise<boolean> {
+    if (chunk.choices && chunk.choices[0]?.finish_reason === 'stop') {
+      dataCallback({ type: 'chat', data: chunk });
+      return true;
+    }
+
+    dataCallback({ type: 'chat', data: chunk });
+    return false;
+  }
+}
+
+export class FireworksAiChatSdk {
+  private static provider = new FireworksAiChatProvider();
+
+  static async handleFireworksStream(
+    param: {
+      openai: OpenAI;
+      systemPrompt: any;
+      preprocessedContext: any;
+      maxTokens: number;
+      messages: any;
+      model: any;
+      env: any;
+    },
+    // TODO: Replace usage of any with an explicit but permissive type
+    dataCallback: (data: any) => void,
+  ) {
+    return this.provider.handleStream(
+      {
+        systemPrompt: param.systemPrompt,
+        preprocessedContext: param.preprocessedContext,
+        maxTokens: param.maxTokens,
+        messages: param.messages,
+        model: param.model,
+        env: param.env,
+      },
+      dataCallback,
+    );
+  }
+}

packages/ai/src/providers/google.ts

@@ -1,12 +1,12 @@
-import { OpenAI } from "openai";
-import ChatSdk from "../lib/chat-sdk.ts";
-import { StreamParams } from "../services/ChatService.ts";
-import { BaseChatProvider, CommonProviderParams } from "./chat-stream-provider.ts";
+import { OpenAI } from 'openai';
+
+import { ProviderRepository } from './_ProviderRepository.ts';
+import { BaseChatProvider, type CommonProviderParams } from './chat-stream-provider.ts';
 
 export class GoogleChatProvider extends BaseChatProvider {
   getOpenAIClient(param: CommonProviderParams): OpenAI {
     return new OpenAI({
-      baseURL: "https://generativelanguage.googleapis.com/v1beta/openai",
+      baseURL: ProviderRepository.OPENAI_COMPAT_ENDPOINTS.google,
       apiKey: param.env.GEMINI_API_KEY,
     });
   }
@@ -20,14 +20,14 @@ export class GoogleChatProvider extends BaseChatProvider {
   }
 
   async processChunk(chunk: any, dataCallback: (data: any) => void): Promise<boolean> {
-    if (chunk.choices?.[0]?.finish_reason === "stop") {
+    if (chunk.choices?.[0]?.finish_reason === 'stop') {
       dataCallback({
-        type: "chat",
+        type: 'chat',
         data: {
           choices: [
             {
-              delta: { content: chunk.choices[0].delta.content || "" },
-              finish_reason: "stop",
+              delta: { content: chunk.choices[0].delta.content || '' },
+              finish_reason: 'stop',
               index: chunk.choices[0].index,
             },
           ],
@@ -36,11 +36,11 @@ export class GoogleChatProvider extends BaseChatProvider {
       return true;
     } else {
       dataCallback({
-        type: "chat",
+        type: 'chat',
         data: {
           choices: [
             {
-              delta: { content: chunk.choices?.[0]?.delta?.content || "" },
+              delta: { content: chunk.choices?.[0]?.delta?.content || '' },
               finish_reason: null,
               index: chunk.choices?.[0]?.index || 0,
             },
@@ -55,10 +55,7 @@ export class GoogleChatProvider extends BaseChatProvider {
 export class GoogleChatSdk {
   private static provider = new GoogleChatProvider();
 
-  static async handleGoogleStream(
-    param: StreamParams,
-    dataCallback: (data) => void,
-  ) {
+  static async handleGoogleStream(param: StreamParams, dataCallback: (data: any) => void) {
     return this.provider.handleStream(
       {
         systemPrompt: param.systemPrompt,

packages/ai/src/providers/groq.ts

@@ -1,17 +1,19 @@
-import { OpenAI } from "openai";
 import {
   _NotCustomized,
   ISimpleType,
   ModelPropertiesDeclarationToProperties,
   ModelSnapshotType2,
   UnionStringArray,
-} from "mobx-state-tree";
-import { BaseChatProvider, CommonProviderParams } from "./chat-stream-provider.ts";
+} from 'mobx-state-tree';
+import { OpenAI } from 'openai';
+
+import { ProviderRepository } from './_ProviderRepository.ts';
+import { BaseChatProvider, CommonProviderParams } from './chat-stream-provider.ts';
 
 export class GroqChatProvider extends BaseChatProvider {
   getOpenAIClient(param: CommonProviderParams): OpenAI {
     return new OpenAI({
-      baseURL: "https://api.groq.com/openai/v1",
+      baseURL: ProviderRepository.OPENAI_COMPAT_ENDPOINTS.groq,
       apiKey: param.env.GROQ_API_KEY,
     });
   }
@@ -29,17 +31,17 @@ export class GroqChatProvider extends BaseChatProvider {
       model: param.model,
       messages: safeMessages,
       stream: true,
-      ...tuningParams
+      ...tuningParams,
     };
   }
 
   async processChunk(chunk: any, dataCallback: (data: any) => void): Promise<boolean> {
-    if (chunk.choices && chunk.choices[0]?.finish_reason === "stop") {
-      dataCallback({ type: "chat", data: chunk });
+    if (chunk.choices && chunk.choices[0]?.finish_reason === 'stop') {
+      dataCallback({ type: 'chat', data: chunk });
       return true;
     }
 
-    dataCallback({ type: "chat", data: chunk });
+    dataCallback({ type: 'chat', data: chunk });
     return false;
   }
 }

packages/ai/src/providers/index.ts

@@ -0,0 +1,8 @@
+export * from './claude.ts';
+export * from './cerebras.ts';
+export * from './cloudflareAi.ts';
+export * from './fireworks.ts';
+export * from './groq.ts';
+export * from './mlx-omni.ts';
+export * from './ollama.ts';
+export * from './xai.ts';

packages/ai/src/providers/mlx-omni.ts

@@ -0,0 +1,97 @@
+import { OpenAI } from 'openai';
+import { type ChatCompletionCreateParamsStreaming } from 'openai/resources/chat/completions/completions';
+
+import { Common } from '../utils';
+
+import { BaseChatProvider, type CommonProviderParams } from './chat-stream-provider.ts';
+
+export class MlxOmniChatProvider extends BaseChatProvider {
+  getOpenAIClient(param: CommonProviderParams): OpenAI {
+    return new OpenAI({
+      baseURL: 'http://localhost:10240',
+      apiKey: param.env.MLX_API_KEY,
+    });
+  }
+
+  getStreamParams(
+    param: CommonProviderParams,
+    safeMessages: any[],
+  ): ChatCompletionCreateParamsStreaming {
+    const baseTuningParams = {
+      temperature: 0.86,
+      top_p: 0.98,
+      presence_penalty: 0.1,
+      frequency_penalty: 0.3,
+      max_tokens: param.maxTokens as number,
+    };
+
+    const getTuningParams = () => {
+      return baseTuningParams;
+    };
+
+    let completionRequest: ChatCompletionCreateParamsStreaming = {
+      model: param.model,
+      stream: true,
+      messages: safeMessages,
+    };
+
+    const client = this.getOpenAIClient(param);
+    const isLocal = client.baseURL.includes('localhost');
+
+    if (isLocal) {
+      completionRequest['messages'] = Common.Utils.normalizeWithBlanks(safeMessages);
+      completionRequest['stream_options'] = {
+        include_usage: true,
+      };
+    } else {
+      completionRequest = { ...completionRequest, ...getTuningParams() };
+    }
+
+    return completionRequest;
+  }
+
+  async processChunk(chunk: any, dataCallback: (data: any) => void): Promise<boolean> {
+    const isLocal = chunk.usage !== undefined;
+
+    if (isLocal && chunk.usage) {
+      dataCallback({
+        type: 'chat',
+        data: {
+          choices: [
+            {
+              delta: { content: '' },
+              logprobs: null,
+              finish_reason: 'stop',
+            },
+          ],
+        },
+      });
+      return true; // Break the stream
+    }
+
+    dataCallback({ type: 'chat', data: chunk });
+    return false; // Continue the stream
+  }
+}
+
+export class MlxOmniChatSdk {
+  private static provider = new MlxOmniChatProvider();
+
+  static async handleMlxOmniStream(ctx: any, dataCallback: (data: any) => any) {
+    if (!ctx.messages?.length) {
+      return new Response('No messages provided', { status: 400 });
+    }
+
+    return this.provider.handleStream(
+      {
+        systemPrompt: ctx.systemPrompt,
+        preprocessedContext: ctx.preprocessedContext,
+        maxTokens: ctx.maxTokens,
+        messages: Common.Utils.normalizeWithBlanks(ctx.messages),
+        model: ctx.model,
+        env: ctx.env,
+      },
+      dataCallback,
+    );
+  }
+}

packages/ai/src/providers/ollama.ts

@@ -0,0 +1,75 @@
+import { OpenAI } from 'openai';
+
+import type { GenericEnv } from '../types';
+
+import { ProviderRepository } from './_ProviderRepository.ts';
+import { BaseChatProvider, type CommonProviderParams } from './chat-stream-provider.ts';
+
+export class OllamaChatProvider extends BaseChatProvider {
+  getOpenAIClient(param: CommonProviderParams): OpenAI {
+    return new OpenAI({
+      baseURL: param.env.OLLAMA_API_ENDPOINT ?? ProviderRepository.OPENAI_COMPAT_ENDPOINTS.ollama,
+      apiKey: param.env.OLLAMA_API_KEY,
+    });
+  }
+
+  getStreamParams(param: CommonProviderParams, safeMessages: any[]): any {
+    const tuningParams = {
+      temperature: 0.75,
+    };
+
+    const getTuningParams = () => {
+      return tuningParams;
+    };
+
+    return {
+      model: param.model,
+      messages: safeMessages,
+      stream: true,
+      ...getTuningParams(),
+    };
+  }
+
+  async processChunk(chunk: any, dataCallback: (data: any) => void): Promise<boolean> {
+    if (chunk.choices && chunk.choices[0]?.finish_reason === 'stop') {
+      dataCallback({ type: 'chat', data: chunk });
+      return true;
+    }
+
+    dataCallback({ type: 'chat', data: chunk });
+    return false;
+  }
+}
+
+export class OllamaChatSdk {
+  private static provider = new OllamaChatProvider();
+
+  static async handleOllamaStream(
+    ctx: {
+      openai: OpenAI;
+      systemPrompt: any;
+      preprocessedContext: any;
+      maxTokens: unknown | number | undefined;
+      messages: any;
+      model: any;
+      env: GenericEnv;
+    },
+    dataCallback: (data: any) => any,
+  ) {
+    if (!ctx.messages?.length) {
+      return new Response('No messages provided', { status: 400 });
+    }
+
+    return this.provider.handleStream(
+      {
+        systemPrompt: ctx.systemPrompt,
+        preprocessedContext: ctx.preprocessedContext,
+        maxTokens: ctx.maxTokens,
+        messages: ctx.messages,
+        model: ctx.model,
+        env: ctx.env,
+      },
+      dataCallback,
+    );
+  }
+}

packages/ai/src/providers/openai.ts

@@ -1,16 +1,21 @@
-import { OpenAI } from "openai";
-import { Utils } from "../lib/utils.ts";
-import { ChatCompletionCreateParamsStreaming } from "openai/resources/chat/completions/completions";
-import { BaseChatProvider, CommonProviderParams } from "./chat-stream-provider.ts";
+import { OpenAI } from 'openai';
+import type { ChatCompletionCreateParamsStreaming } from 'openai/resources/chat/completions/completions';
+
+import { Common } from '../utils';
+
+import { BaseChatProvider, type CommonProviderParams } from './chat-stream-provider.ts';
 
 export class OpenAiChatProvider extends BaseChatProvider {
   getOpenAIClient(param: CommonProviderParams): OpenAI {
     return param.openai as OpenAI;
   }
 
-  getStreamParams(param: CommonProviderParams, safeMessages: any[]): ChatCompletionCreateParamsStreaming {
+  getStreamParams(
+    param: CommonProviderParams,
+    safeMessages: any[],
+  ): ChatCompletionCreateParamsStreaming {
     const isO1 = () => {
-      if (param.model === "o1-preview" || param.model === "o1-mini") {
+      if (param.model === 'o1-preview' || param.model === 'o1-mini') {
         return true;
       }
     };
@@ -27,8 +32,8 @@ export class OpenAiChatProvider extends BaseChatProvider {
 
     const getTuningParams = () => {
       if (isO1()) {
-        tuningParams["temperature"] = 1;
-        tuningParams["max_completion_tokens"] = (param.maxTokens as number) + 10000;
+        tuningParams['temperature'] = 1;
+        tuningParams['max_completion_tokens'] = (param.maxTokens as number) + 10000;
         return tuningParams;
       }
       return gpt4oTuningParams;
@@ -37,19 +42,19 @@ export class OpenAiChatProvider extends BaseChatProvider {
     let completionRequest: ChatCompletionCreateParamsStreaming = {
       model: param.model,
       stream: true,
-      messages: safeMessages
+      messages: safeMessages,
     };
 
     const client = this.getOpenAIClient(param);
-    const isLocal = client.baseURL.includes("localhost");
+    const isLocal = client.baseURL.includes('localhost');
 
-    if(isLocal) {
-      completionRequest["messages"] = Utils.normalizeWithBlanks(safeMessages);
-      completionRequest["stream_options"] = {
-        include_usage: true
+    if (isLocal) {
+      completionRequest['messages'] = Common.Utils.normalizeWithBlanks(safeMessages);
+      completionRequest['stream_options'] = {
+        include_usage: true,
       };
     } else {
-      completionRequest = {...completionRequest, ...getTuningParams()};
+      completionRequest = { ...completionRequest, ...getTuningParams() };
     }
 
     return completionRequest;
@@ -60,13 +65,13 @@ export class OpenAiChatProvider extends BaseChatProvider {
 
     if (isLocal && chunk.usage) {
       dataCallback({
-        type: "chat",
+        type: 'chat',
         data: {
           choices: [
             {
-              delta: { content: "" },
+              delta: { content: '' },
               logprobs: null,
-              finish_reason: "stop",
+              finish_reason: 'stop',
             },
           ],
         },
@@ -74,7 +79,7 @@ export class OpenAiChatProvider extends BaseChatProvider {
       return true; // Break the stream
     }
 
-    dataCallback({ type: "chat", data: chunk });
+    dataCallback({ type: 'chat', data: chunk });
     return false; // Continue the stream
   }
 }
@@ -95,7 +100,7 @@ export class OpenAiChatSdk {
     dataCallback: (data: any) => any,
   ) {
     if (!ctx.messages?.length) {
-      return new Response("No messages provided", { status: 400 });
+      return new Response('No messages provided', { status: 400 });
     }
 
     return this.provider.handleStream(

packages/ai/src/providers/xai.ts

@@ -0,0 +1,75 @@
+import { OpenAI } from 'openai';
+
+import type { GenericEnv, GenericStreamData } from '../types';
+
+import { BaseChatProvider, type CommonProviderParams } from './chat-stream-provider.ts';
+
+export class XaiChatProvider extends BaseChatProvider {
+  getOpenAIClient(param: CommonProviderParams): OpenAI {
+    return new OpenAI({
+      baseURL: 'https://api.x.ai/v1',
+      apiKey: param.env.XAI_API_KEY,
+    });
+  }
+
+  getStreamParams(param: CommonProviderParams, safeMessages: any[]): any {
+    const tuningParams = {
+      temperature: 0.75,
+    };
+
+    const getTuningParams = () => {
+      return tuningParams;
+    };
+
+    return {
+      model: param.model,
+      messages: safeMessages,
+      stream: true,
+      ...getTuningParams(),
+    };
+  }
+
+  async processChunk(chunk: any, dataCallback: (data: any) => void): Promise<boolean> {
+    if (chunk.choices && chunk.choices[0]?.finish_reason === 'stop') {
+      dataCallback({ type: 'chat', data: chunk });
+      return true;
+    }
+
+    dataCallback({ type: 'chat', data: chunk });
+    return false;
+  }
+}
+
+export class XaiChatSdk {
+  private static provider = new XaiChatProvider();
+
+  static async handleXaiStream(
+    ctx: {
+      openai: OpenAI;
+      systemPrompt: any;
+      preprocessedContext: any;
+      maxTokens: unknown | number | undefined;
+      messages: any;
+      model: any;
+      env: GenericEnv;
+    },
+    dataCallback: (data: GenericStreamData) => any,
+  ) {
+    if (!ctx.messages?.length) {
+      return new Response('No messages provided', { status: 400 });
+    }
+
+    return this.provider.handleStream(
+      {
+        systemPrompt: ctx.systemPrompt,
+        preprocessedContext: ctx.preprocessedContext,
+        maxTokens: ctx.maxTokens,
+        messages: ctx.messages,
+        model: ctx.model,
+        env: ctx.env,
+        disableWebhookGeneration: ctx.disableWebhookGeneration,
+      },
+      dataCallback,
+    );
+  }
+}

packages/ai/src/tools/basic.ts

@@ -0,0 +1,21 @@
+// tools/basicValue.ts
+export interface BasicValueResult {
+  value: string;
+}
+
+export const BasicValueTool = {
+  name: 'basicValue',
+  type: 'function',
+  description: 'Returns a basic value (timestamp-based) for testing',
+  parameters: {
+    type: 'object',
+    properties: {},
+    required: [],
+  },
+  function: async (): Promise<BasicValueResult> => {
+    // generate something obviously basic
+    const basic = `tool-called-${Date.now()}`;
+    console.log('[BasicValueTool] returning:', basic);
+    return { value: basic };
+  },
+};

packages/ai/src/tools/weather.ts

@@ -0,0 +1,25 @@
+export async function getWeather(latitude: any, longitude: any) {
+  const response = await fetch(
+    `https://api.open-meteo.com/v1/forecast?latitude=${latitude}&longitude=${longitude}&current=temperature_2m,wind_speed_10m&hourly=temperature_2m,relative_humidity_2m,wind_speed_10m`,
+  );
+  const data = await response.json();
+  return data.current.temperature_2m;
+}
+
+export const WeatherTool = {
+  type: 'function',
+  function: {
+    name: 'get_weather',
+    description: 'Get current temperature for provided coordinates in celsius.',
+    parameters: {
+      type: 'object',
+      properties: {
+        latitude: { type: 'number' },
+        longitude: { type: 'number' },
+      },
+      required: ['latitude', 'longitude'],
+      additionalProperties: false,
+    },
+    strict: true,
+  },
+};

packages/ai/src/tools/yachtpit.ts

@@ -0,0 +1,68 @@
+export interface ShipControlResult {
+  message: string;
+  status: 'success' | 'error';
+  data?: any;
+}
+
+/**
+ * A mock interface for controlling a ship.
+ */
+export const YachtpitTools = {
+  type: 'function',
+  description: 'Interface for controlling a ship: set speed, change heading, report status, etc.',
+
+  /**
+   * Mock implementation of a ship control command.
+   */
+  function: {
+    name: 'ship_control',
+    parameters: {
+      type: 'object',
+      properties: {
+        action: {
+          type: 'string',
+          enum: ['set_speed', 'change_heading', 'report_status', 'stop'],
+          description: 'Action to perform on the ship.',
+        },
+        value: {
+          type: 'number',
+          description:
+            'Numeric value for the action, such as speed (knots) or heading (degrees). Only required for set_speed and change_heading.',
+        },
+      },
+      required: ['action'],
+      additionalProperties: false,
+    },
+  },
+};
+
+export function yachtpitAi(args: { action: string; value?: number }): Promise<ShipControlResult> {
+  switch (args.action) {
+    case 'set_speed':
+      if (typeof args.value !== 'number') {
+        return { status: 'error', message: 'Missing speed value.' };
+      }
+      return { status: 'success', message: `Speed set to ${args.value} knots.` };
+    case 'change_heading':
+      if (typeof args.value !== 'number') {
+        return { status: 'error', message: 'Missing heading value.' };
+      }
+      return { status: 'success', message: `Heading changed to ${args.value} degrees.` };
+    case 'report_status':
+      // Return a simulated ship status
+      return {
+        status: 'success',
+        message: 'Ship status reported.',
+        data: {
+          speed: 12,
+          heading: 87,
+          engine: 'nominal',
+          position: { lat: 42.35, lon: -70.88 },
+        },
+      };
+    case 'stop':
+      return { status: 'success', message: 'Ship stopped.' };
+    default:
+      return { status: 'error', message: 'Invalid action.' };
+  }
+}

packages/ai/src/types/index.ts

@@ -0,0 +1 @@
+export * from './types.ts';

packages/ai/src/types/package.json

@@ -0,0 +1,5 @@
+{
+  "name": "@open-gsio/types",
+  "type": "module",
+  "module": "index.ts"
+}

packages/ai/src/types/types.ts

@@ -0,0 +1,29 @@
+import { ProviderRepository } from '../providers/_ProviderRepository.ts';
+
+export type GenericEnv = Record<string, any>;
+
+export type GenericStreamData = any;
+
+export type ModelMeta = {
+  id: any;
+} & Record<string, any>;
+
+export type SupportedProvider = keyof typeof ProviderRepository.OPENAI_COMPAT_ENDPOINTS & string;
+
+export type Provider = { name: SupportedProvider; key: string; endpoint: string };
+
+export type Providers = Provider[];
+
+export type ChatRequestBody = {
+  messages: any[];
+  model: string;
+  conversationId: string;
+};
+
+export interface BuildAssistantPromptParams {
+  maxTokens: any;
+}
+
+export interface PreprocessParams {
+  messages: any[];
+}

packages/ai/src/utils/handleStreamData.ts

@@ -22,15 +22,9 @@ interface StreamResponse {
   };
 }
 
-const handleStreamData = (
-  controller: ReadableStreamDefaultController,
-  encoder: TextEncoder,
-) => {
-  return (
-    data: StreamResponse,
-    transformFn?: (data: StreamResponse) => StreamResponse,
-  ) => {
-    if (!data?.type || data.type !== "chat") {
+const handleStreamData = (controller: ReadableStreamDefaultController, encoder: TextEncoder) => {
+  return (data: StreamResponse, transformFn?: (data: StreamResponse) => StreamResponse) => {
+    if (!data?.type || data.type !== 'chat') {
       return;
     }
 
@@ -39,17 +33,14 @@ const handleStreamData = (
     if (transformFn) {
       transformedData = transformFn(data);
     } else {
-      if (
-        data.data.type === "content_block_start" &&
-        data.data.content_block?.type === "text"
-      ) {
+      if (data.data.type === 'content_block_start' && data.data.content_block?.type === 'text') {
         transformedData = {
-          type: "chat",
+          type: 'chat',
           data: {
             choices: [
               {
                 delta: {
-                  content: data.data.content_block.text || "",
+                  content: data.data.content_block.text || '',
                 },
                 logprobs: null,
                 finish_reason: null,
@@ -59,7 +50,7 @@ const handleStreamData = (
         };
       } else if (data.data.delta?.text) {
         transformedData = {
-          type: "chat",
+          type: 'chat',
           data: {
             choices: [
               {
@@ -74,7 +65,7 @@ const handleStreamData = (
         };
       } else if (data.data.choices?.[0]?.delta?.content) {
         transformedData = {
-          type: "chat",
+          type: 'chat',
           data: {
             choices: [
               {
@@ -95,9 +86,7 @@ const handleStreamData = (
       }
     }
 
-    controller.enqueue(
-      encoder.encode(`data: ${JSON.stringify(transformedData)}\n\n`),
-    );
+    controller.enqueue(encoder.encode(`data: ${JSON.stringify(transformedData)}\n\n`));
   };
 };
 

packages/ai/src/utils/index.ts

@@ -0,0 +1,3 @@
+import * as Common from './utils.ts';
+
+export { Common };

packages/ai/src/utils/utils.ts

@@ -1,20 +1,19 @@
+import handleStreamData from './handleStreamData.ts';
+
 export class Utils {
   static getSeason(date: string): string {
     const hemispheres = {
-      Northern: ["Winter", "Spring", "Summer", "Autumn"],
-      Southern: ["Summer", "Autumn", "Winter", "Spring"],
+      Northern: ['Winter', 'Spring', 'Summer', 'Autumn'],
+      Southern: ['Summer', 'Autumn', 'Winter', 'Spring'],
     };
     const d = new Date(date);
     const month = d.getMonth();
     const day = d.getDate();
-    const hemisphere = "Northern";
+    const hemisphere = 'Northern';
 
-    if (month < 2 || (month === 2 && day <= 20) || month === 11)
-      return hemispheres[hemisphere][0];
-    if (month < 5 || (month === 5 && day <= 21))
-      return hemispheres[hemisphere][1];
-    if (month < 8 || (month === 8 && day <= 22))
-      return hemispheres[hemisphere][2];
+    if (month < 2 || (month === 2 && day <= 20) || month === 11) return hemispheres[hemisphere][0];
+    if (month < 5 || (month === 5 && day <= 21)) return hemispheres[hemisphere][1];
+    if (month < 8 || (month === 8 && day <= 22)) return hemispheres[hemisphere][2];
     return hemispheres[hemisphere][3];
   }
   static getTimezone(timezone) {
@@ -30,18 +29,16 @@ export class Utils {
 
   static isAssetUrl(url) {
     const { pathname } = new URL(url);
-    return pathname.startsWith("/assets/");
+    return pathname.startsWith('/assets/');
   }
 
   static selectEquitably({ a, b, c, d }, itemCount = 9) {
     const sources = [a, b, c, d];
     const result = {};
 
-    let combinedItems = [];
+    let combinedItems: any[] = [];
     sources.forEach((source, index) => {
-      combinedItems.push(
-        ...Object.keys(source).map((key) => ({ source: index, key })),
-      );
+      combinedItems.push(...Object.keys(source).map(key => ({ source: index, key })));
     });
 
     combinedItems = combinedItems.sort(() => Math.random() - 0.5);
@@ -60,37 +57,37 @@ export class Utils {
     return result;
   }
 
-  static normalizeWithBlanks<T extends Normalize.ChatMessage>(msgs: T[]): T[] {
+  static normalizeWithBlanks<T extends NormalizeChatMessage>(msgs: T[]): T[] {
     const out: T[] = [];
 
     // In local mode first turn expected to be user.
-    let expected: Normalize.Role = "user";
+    let expected: NormalizeRole = 'user';
 
     for (const m of msgs) {
       while (m.role !== expected) {
         // Insert blanks to match expected sequence user/assistant/user...
-        out.push(Normalize.makeBlank(expected) as T);
-        expected = expected === "user" ? "assistant" : "user";
+        out.push(makeNormalizeBlank(expected) as T);
+        expected = expected === 'user' ? 'assistant' : 'user';
       }
 
       out.push(m);
-      expected = expected === "user" ? "assistant" : "user";
+      expected = expected === 'user' ? 'assistant' : 'user';
     }
 
     return out;
   }
 
+  static handleStreamData = handleStreamData;
 }
 
-module Normalize {
-  export type Role = "user" | "assistant";
+// Normalize module exports
+export type NormalizeRole = 'user' | 'assistant';
 
-  export interface ChatMessage extends Record<any, any> {
-    role: Role;
-  }
-
-  export const makeBlank = (role: Role): ChatMessage => ({
-    role,
-    content: ""
-  });
+export interface NormalizeChatMessage extends Record<any, any> {
+  role: NormalizeRole;
 }
+
+export const makeNormalizeBlank = (role: NormalizeRole): NormalizeChatMessage => ({
+  role,
+  content: '',
+});

packages/ai/supported-models.ts

@@ -1,88 +0,0 @@
-const SUPPORTED_MODELS_GROUPS = {
-    openai: [
-        // "o1-preview",
-        // "o1-mini",
-        // "gpt-4o",
-        // "gpt-3.5-turbo"
-    ],
-    groq: [
-        // "mixtral-8x7b-32768",
-        // "deepseek-r1-distill-llama-70b",
-        "meta-llama/llama-4-scout-17b-16e-instruct",
-        "gemma2-9b-it",
-        "mistral-saba-24b",
-        // "qwen-2.5-32b",
-        "llama-3.3-70b-versatile",
-        // "llama-3.3-70b-versatile"
-        // "llama-3.1-70b-versatile",
-        // "llama-3.3-70b-versatile"
-    ],
-    cerebras: ["llama-3.3-70b"],
-    claude: [
-        // "claude-3-5-sonnet-20241022",
-        // "claude-3-opus-20240229"
-    ],
-    fireworks: [
-        // "llama-v3p1-405b-instruct",
-        // "llama-v3p1-70b-instruct",
-        // "llama-v3p2-90b-vision-instruct",
-        // "mixtral-8x22b-instruct",
-        // "mythomax-l2-13b",
-        // "yi-large"
-    ],
-    google: [
-        // "gemini-2.0-flash-exp",
-        // "gemini-1.5-flash",
-        // "gemini-exp-1206",
-        // "gemini-1.5-pro"
-    ],
-    xai: [
-        // "grok-beta",
-        // "grok-2",
-        // "grok-2-1212",
-        // "grok-2-latest",
-        // "grok-beta"
-    ],
-    cloudflareAI: [
-        "llama-3.2-3b-instruct", // max_tokens
-        "llama-3-8b-instruct", // max_tokens
-        "llama-3.1-8b-instruct-fast", // max_tokens
-        "deepseek-math-7b-instruct",
-        "deepseek-coder-6.7b-instruct-awq",
-        "hermes-2-pro-mistral-7b",
-        "openhermes-2.5-mistral-7b-awq",
-        "mistral-7b-instruct-v0.2",
-        "neural-chat-7b-v3-1-awq",
-        "openchat-3.5-0106",
-        // "gemma-7b-it",
-    ],
-};
-
-export type SupportedModel =
-    | keyof typeof SUPPORTED_MODELS_GROUPS
-    | (typeof SUPPORTED_MODELS_GROUPS)[keyof typeof SUPPORTED_MODELS_GROUPS][number];
-
-export type ModelFamily = keyof typeof SUPPORTED_MODELS_GROUPS;
-
-function getModelFamily(model: string): ModelFamily | undefined {
-    return Object.keys(SUPPORTED_MODELS_GROUPS)
-        .filter((family) => {
-            return SUPPORTED_MODELS_GROUPS[
-                family as keyof typeof SUPPORTED_MODELS_GROUPS
-                ].includes(model.trim());
-        })
-        .at(0) as ModelFamily | undefined;
-}
-
-const SUPPORTED_MODELS = [
-    // ...SUPPORTED_MODELS_GROUPS.xai,
-    // ...SUPPORTED_MODELS_GROUPS.claude,
-    // ...SUPPORTED_MODELS_GROUPS.google,
-    ...SUPPORTED_MODELS_GROUPS.groq,
-    // ...SUPPORTED_MODELS_GROUPS.fireworks,
-    // ...SUPPORTED_MODELS_GROUPS.openai,
-    // ...SUPPORTED_MODELS_GROUPS.cerebras,
-    // ...SUPPORTED_MODELS_GROUPS.cloudflareAI,
-];
-
-export { SUPPORTED_MODELS, SUPPORTED_MODELS_GROUPS, getModelFamily };

packages/ai/tsconfig.json

@@ -0,0 +1,9 @@
+{
+  "extends": "../../tsconfig.json",
+  "compilerOptions": {
+    "outDir": "dist",
+    "rootDir": "."
+  },
+  "include": ["*.ts"],
+  "exclude": ["node_modules"]
+}

packages/client/package.json

@@ -5,23 +5,36 @@
     "dev": "bun vite dev",
     "build": "bun vite build",
     "tests": "vitest run",
-    "tests:coverage": "vitest run --coverage.enabled=true"
+    "tests:coverage": "vitest run --coverage.enabled=true",
+    "generate:sitemap": "bun ./scripts/generate_sitemap.js open-gsio.seemueller.workers.dev",
+    "generate:robotstxt": "bun ./scripts/generate_robots_txt.js open-gsio.seemueller.workers.dev",
+    "generate:fonts": "cp -r ../../node_modules/katex/dist/fonts public/static",
+    "generate:pwa:assets": "test ! -f public/pwa-64x64.png && pwa-assets-generator --preset minimal-2023  public/logo.png || echo 'PWA assets already exist'"
   },
-  "dependencies": {
-    "@open-gsio/env": "workspace:*",
-    "@open-gsio/scripts": "workspace:*",
-    "@anthropic-ai/sdk": "^0.32.1",
+  "exports": {
+    "./server/index.ts": {
+      "import": "./server/index.ts",
+      "types": "./server/index.ts"
+    }
+  },
+  "devDependencies": {
+    "@chakra-ui/icons": "^2.2.4",
     "@chakra-ui/react": "^2.10.6",
     "@cloudflare/workers-types": "^4.20241205.0",
     "@emotion/react": "^11.13.5",
     "@emotion/styled": "^11.13.5",
+    "@open-gsio/env": "workspace:*",
+    "@open-gsio/scripts": "workspace:*",
     "@testing-library/jest-dom": "^6.4.2",
-    "@testing-library/react": "^14.2.1",
+    "@testing-library/react": "^16.3.0",
     "@testing-library/user-event": "^14.5.2",
+    "@types/bun": "^1.2.17",
     "@types/marked": "^6.0.0",
+    "@vite-pwa/assets-generator": "^1.0.0",
     "@vitejs/plugin-react": "^4.3.4",
     "@vitest/coverage-v8": "^3.1.4",
     "@vitest/ui": "^3.1.4",
+    "bun": "^1.2.17",
     "chokidar": "^4.0.1",
     "framer-motion": "^11.13.1",
     "isomorphic-dompurify": "^2.19.0",
@@ -29,6 +42,7 @@
     "jsdom": "^24.0.0",
     "katex": "^0.16.20",
     "lucide-react": "^0.436.0",
+    "mapbox-gl": "^3.13.0",
     "marked": "^15.0.4",
     "marked-extended-latex": "^1.1.0",
     "marked-footnote": "^1.2.4",
@@ -36,18 +50,19 @@
     "mobx": "^6.13.5",
     "mobx-react-lite": "^4.0.7",
     "mobx-state-tree": "^6.0.1",
-    "moo": "^0.5.2",
     "qrcode.react": "^4.1.0",
-    "react": "^18.3.1",
-    "react-dom": "^18.3.1",
+    "react": "^19.1.0",
+    "react-dom": "^19.1.0",
     "react-icons": "^5.4.0",
-    "react-streaming": "^0.3.44",
+    "react-map-gl": "^8.0.4",
+    "react-streaming": "^0.4.2",
     "react-textarea-autosize": "^8.5.5",
     "shiki": "^1.24.0",
+    "tslog": "^4.9.3",
     "typescript": "^5.7.2",
-    "vike": "0.4.193",
-    "vite": "^6.3.5",
-    "vite-plugin-pwa": "^1.0.0",
+    "vike": "^0.4.235",
+    "vite": "^7.0.0",
+    "vite-plugin-pwa": "^1.0.1",
     "vitest": "^3.1.4"
   }
 }

packages/client/public/cfga.min.js

@@ -15,30 +15,29 @@
     };
   function s() {
     var i = [
-      g(m(4)) + "=" + g(m(6)),
-      "ga=" + t.ga_tid,
-      "dt=" + r(e.title),
-      "de=" + r(e.characterSet || e.charset),
-      "dr=" + r(e.referrer),
-      "ul=" + (n.language || n.browserLanguage || n.userLanguage),
-      "sd=" + a.colorDepth + "-bit",
-      "sr=" + a.width + "x" + a.height,
-      "vp=" +
+      g(m(4)) + '=' + g(m(6)),
+      'ga=' + t.ga_tid,
+      'dt=' + r(e.title),
+      'de=' + r(e.characterSet || e.charset),
+      'dr=' + r(e.referrer),
+      'ul=' + (n.language || n.browserLanguage || n.userLanguage),
+      'sd=' + a.colorDepth + '-bit',
+      'sr=' + a.width + 'x' + a.height,
+      'vp=' +
         o(e.documentElement.clientWidth, t.innerWidth || 0) +
-        "x" +
+        'x' +
         o(e.documentElement.clientHeight, t.innerHeight || 0),
-      "plt=" + c(d.loadEventStart - d.navigationStart || 0),
-      "dns=" + c(d.domainLookupEnd - d.domainLookupStart || 0),
-      "pdt=" + c(d.responseEnd - d.responseStart || 0),
-      "rrt=" + c(d.redirectEnd - d.redirectStart || 0),
-      "tcp=" + c(d.connectEnd - d.connectStart || 0),
-      "srt=" + c(d.responseStart - d.requestStart || 0),
-      "dit=" + c(d.domInteractive - d.domLoading || 0),
-      "clt=" + c(d.domContentLoadedEventStart - d.navigationStart || 0),
-      "z=" + Date.now(),
+      'plt=' + c(d.loadEventStart - d.navigationStart || 0),
+      'dns=' + c(d.domainLookupEnd - d.domainLookupStart || 0),
+      'pdt=' + c(d.responseEnd - d.responseStart || 0),
+      'rrt=' + c(d.redirectEnd - d.redirectStart || 0),
+      'tcp=' + c(d.connectEnd - d.connectStart || 0),
+      'srt=' + c(d.responseStart - d.requestStart || 0),
+      'dit=' + c(d.domInteractive - d.domLoading || 0),
+      'clt=' + c(d.domContentLoadedEventStart - d.navigationStart || 0),
+      'z=' + Date.now(),
     ];
-    (t.__ga_img = new Image()), (t.__ga_img.src = t.ga_api + "?" + i.join("&"));
+    ((t.__ga_img = new Image()), (t.__ga_img.src = t.ga_api + '?' + i.join('&')));
   }
-  (t.cfga = s),
-    "complete" === e.readyState ? s() : t.addEventListener("load", s);
+  ((t.cfga = s), 'complete' === e.readyState ? s() : t.addEventListener('load', s));
 })(window, document, navigator);

packages/client/public/site.webmanifest

@@ -1,19 +0,0 @@
-{
-  "name": "",
-  "short_name": "",
-  "icons": [
-    {
-      "src": "/android-chrome-192x192.png",
-      "sizes": "192x192",
-      "type": "image/png"
-    },
-    {
-      "src": "/android-chrome-512x512.png",
-      "sizes": "512x512",
-      "type": "image/png"
-    }
-  ],
-  "theme_color": "#fffff0",
-  "background_color": "#000000",
-  "display": "standalone"
-}

packages/client/scripts/generate_robots_txt.js

@@ -1,17 +1,17 @@
 #!/usr/bin/env bun
+/* eslint-env node */
 
-import fs from "fs";
-import {parseArgs} from "util";
+import fs from 'fs';
+import { parseArgs } from 'util';
 
-
-const {positionals} = parseArgs({
+const { positionals } = parseArgs({
   args: Bun.argv,
   options: {},
   strict: true,
   allowPositionals: true,
 });
 
-const currentDate = new Date().toISOString().split("T")[0];
+const currentDate = new Date().toISOString().split('T')[0];
 
 const host = positionals[2];
 
@@ -25,12 +25,12 @@ Disallow: /assets
 Sitemap: https://${host}/sitemap.xml
 `;
 
-const robotsTxtPath = "./public/robots.txt";
+const robotsTxtPath = './public/robots.txt';
 
-fs.writeFile(robotsTxtPath, robotsTxtTemplate, (err) => {
+fs.writeFile(robotsTxtPath, robotsTxtTemplate, err => {
   if (err) {
-    console.error("Error writing robots.txt:", err);
+    console.error('Error writing robots.txt:', err);
     process.exit(1);
   }
-  console.log("robots.txt created successfully:", currentDate);
+  console.log('robots.txt created successfully:', currentDate);
 });

packages/client/scripts/generate_sitemap.js

@@ -1,17 +1,16 @@
 #!/usr/bin/env bun
 
-import fs from "fs";
-import {parseArgs} from "util";
+import fs from 'fs';
+import { parseArgs } from 'util';
 
-
-const {positionals} = parseArgs({
+const { positionals } = parseArgs({
   args: Bun.argv,
   options: {},
   strict: true,
   allowPositionals: true,
 });
 
-const currentDate = new Date().toISOString().split("T")[0];
+const currentDate = new Date().toISOString().split('T')[0];
 
 const host = positionals[2];
 
@@ -30,12 +29,12 @@ const sitemapTemplate = `<?xml version="1.0" encoding="UTF-8"?>
     </url>
 </urlset>`;
 
-const sitemapPath = "./public/sitemap.xml";
+const sitemapPath = './public/sitemap.xml';
 
-fs.writeFile(sitemapPath, sitemapTemplate, (err) => {
+fs.writeFile(sitemapPath, sitemapTemplate, err => {
   if (err) {
-    console.error("Error writing sitemap file:", err);
+    console.error('Error writing sitemap file:', err);
     process.exit(1);
   }
-  console.log("Sitemap updated successfully with current date:", currentDate);
+  console.log('Sitemap updated successfully with current date:', currentDate);
 });

packages/client/server/index.ts

@@ -0,0 +1,20 @@
+import { renderPage } from 'vike/server';
+
+// This is what makes SSR possible. It is consumed by @open-gsio/server
+
+export { handleSsr };
+
+async function handleSsr(url: string, headers: Headers) {
+  const pageContextInit = {
+    urlOriginal: url,
+    headersOriginal: headers,
+    fetch: (...args: Parameters<typeof fetch>) => fetch(...args),
+  };
+  const pageContext = await renderPage(pageContextInit);
+  const { httpResponse } = pageContext;
+  const stream = httpResponse.getReadableWebStream();
+  return new Response(stream, {
+    headers: httpResponse.headers,
+    status: httpResponse.statusCode,
+  });
+}

packages/client/src/components/BuiltWithButton.tsx

@@ -1,7 +1,8 @@
-import React from "react";
-import { IconButton } from "@chakra-ui/react";
-import { LucideHammer } from "lucide-react";
-import { toolbarButtonZIndex } from "./toolbar/Toolbar";
+import { IconButton } from '@chakra-ui/react';
+import { LucideHammer } from 'lucide-react';
+import React from 'react';
+
+import { toolbarButtonZIndex } from './toolbar/Toolbar';
 
 export default function BuiltWithButton() {
   return (
@@ -12,12 +13,12 @@ export default function BuiltWithButton() {
       bg="transparent"
       stroke="text.accent"
       color="text.accent"
-      onClick={() => alert("Built by Geoff Seemueller")}
+      onClick={() => alert('Built by GSIO')}
       _hover={{
-        bg: "transparent",
+        bg: 'transparent',
         svg: {
-          stroke: "accent.secondary",
-          transition: "stroke 0.3s ease-in-out",
+          stroke: 'accent.secondary',
+          transition: 'stroke 0.3s ease-in-out',
         },
       }}
       zIndex={toolbarButtonZIndex}

packages/client/src/components/ThemeSelection.tsx

@@ -1,10 +1,12 @@
-import { getColorThemes } from "../layout/theme/color-themes";
-import { Center, IconButton, VStack } from "@chakra-ui/react";
-import userOptionsStore from "../stores/UserOptionsStore";
-import { Circle } from "lucide-react";
-import { toolbarButtonZIndex } from "./toolbar/Toolbar";
-import React from "react";
-import { useIsMobile } from "./contexts/MobileContext";
+import { Center, IconButton, VStack } from '@chakra-ui/react';
+import { Circle } from 'lucide-react';
+import React from 'react';
+
+import { getColorThemes } from '../layout/theme/color-themes';
+import userOptionsStore from '../stores/UserOptionsStore';
+
+import { useIsMobile } from './contexts/MobileContext';
+import { toolbarButtonZIndex } from './toolbar/Toolbar';
 
 export function ThemeSelectionOptions() {
   const children = [];
@@ -24,11 +26,11 @@ export function ThemeSelectionOptions() {
             size={!isMobile ? 16 : 20}
             stroke="transparent"
             style={{
-              background: `conic-gradient(${theme.colors.background.primary.startsWith("#") ? theme.colors.background.primary : theme.colors.background.secondary} 0 50%, ${theme.colors.text.secondary} 50% 100%)`,
-              borderRadius: "50%",
-              boxShadow: "0 0 0.5px 0.25px #fff",
-              cursor: "pointer",
-              transition: "background 0.2s",
+              background: `conic-gradient(${theme.colors.background.primary.startsWith('#') ? theme.colors.background.primary : theme.colors.background.secondary} 0 50%, ${theme.colors.text.secondary} 50% 100%)`,
+              borderRadius: '50%',
+              boxShadow: '0 0 0.5px 0.25px #fff',
+              cursor: 'pointer',
+              transition: 'background 0.2s',
             }}
           />
         }
@@ -38,7 +40,7 @@ export function ThemeSelectionOptions() {
         color="transparent"
         _hover={{
           svg: {
-            transition: "stroke 0.3s ease-in-out", // Smooth transition effect
+            transition: 'stroke 0.3s ease-in-out', // Smooth transition effect
           },
         }}
         zIndex={toolbarButtonZIndex}
@@ -47,7 +49,7 @@ export function ThemeSelectionOptions() {
   }
 
   return (
-    <VStack align={!isMobile ? "end" : "start"} p={1.2}>
+    <VStack align={!isMobile ? 'end' : 'start'} p={1.2}>
       <Center>{children}</Center>
     </VStack>
   );

packages/client/src/components/WelcomeHome.tsx

@@ -1,11 +1,9 @@
-import { motion } from "framer-motion";
-import { Box, Center, VStack } from "@chakra-ui/react";
-import {
-  welcome_home_text,
-  welcome_home_tip,
-} from "../static-data/welcome_home_text";
-import {renderMarkdown} from "./markdown/MarkdownComponent";
+import { Box, Center, VStack } from '@chakra-ui/react';
+import { motion } from 'framer-motion';
 
+import { welcome_home_text, welcome_home_tip } from '../static-data/welcome_home_text';
+
+import { renderMarkdown } from './markdown/MarkdownComponent';
 
 function WelcomeHomeMessage({ visible }) {
   const containerVariants = {
@@ -45,33 +43,19 @@ function WelcomeHomeMessage({ visible }) {
     <Center>
       <VStack spacing={8} align="center" maxW="400px">
         {/* Welcome Message */}
-        <Box
-          fontSize="sm"
-          fontStyle="italic"
-          textAlign="center"
-          color="text.secondary"
-          mt={4}
-        >
+        <Box fontSize="sm" fontStyle="italic" textAlign="center" color="text.secondary" mt={4}>
           <motion.div
             variants={containerVariants}
             initial="hidden"
-            animate={visible ? "visible" : "hidden"}
+            animate={visible ? 'visible' : 'hidden'}
           >
-            <Box userSelect={"none"}>
-              <motion.div variants={textVariants}>
-                {renderMarkdown(welcome_home_text)}
-              </motion.div>
+            <Box userSelect={'none'}>
+              <motion.div variants={textVariants}>{renderMarkdown(welcome_home_text)}</motion.div>
             </Box>
           </motion.div>
         </Box>
         <motion.div variants={textVariants}>
-          <Box
-            fontSize="sm"
-            fontStyle="italic"
-            textAlign="center"
-            color="text.secondary"
-            mt={1}
-          >
+          <Box fontSize="sm" fontStyle="italic" textAlign="center" color="text.secondary" mt={1}>
             {renderMarkdown(welcome_home_tip)}
           </Box>
         </motion.div>

packages/client/src/components/__tests__/ThemeSelection.test.tsx

@@ -1,37 +1,38 @@
-import { describe, it, expect, vi, beforeEach } from 'vitest';
 import { render, screen, fireEvent } from '@testing-library/react';
-import { ThemeSelectionOptions } from '../ThemeSelection';
+import { describe, it, expect, vi, beforeEach } from 'vitest';
+
 import userOptionsStore from '../../stores/UserOptionsStore';
 import * as MobileContext from '../contexts/MobileContext';
+import { ThemeSelectionOptions } from '../ThemeSelection';
 
 // Mock dependencies
 vi.mock('../../layout/theme/color-themes', () => ({
   getColorThemes: () => [
-    { 
-      name: 'light', 
-      colors: { 
+    {
+      name: 'light',
+      colors: {
         background: { primary: '#ffffff', secondary: '#f0f0f0' },
-        text: { secondary: '#333333' }
-      }
+        text: { secondary: '#333333' },
+      },
     },
-    { 
-      name: 'dark', 
-      colors: { 
+    {
+      name: 'dark',
+      colors: {
         background: { primary: '#121212', secondary: '#1e1e1e' },
-        text: { secondary: '#e0e0e0' }
-      }
-    }
-  ]
+        text: { secondary: '#e0e0e0' },
+      },
+    },
+  ],
 }));
 
 vi.mock('../../stores/UserOptionsStore', () => ({
   default: {
-    selectTheme: vi.fn()
-  }
+    selectTheme: vi.fn(),
+  },
 }));
 
 vi.mock('../toolbar/Toolbar', () => ({
-  toolbarButtonZIndex: 100
+  toolbarButtonZIndex: 100,
 }));
 
 describe('ThemeSelectionOptions', () => {
@@ -42,20 +43,20 @@ describe('ThemeSelectionOptions', () => {
   it('renders theme options for desktop view', () => {
     // Mock useIsMobile to return false (desktop view)
     vi.spyOn(MobileContext, 'useIsMobile').mockReturnValue(false);
-    
+
     render(<ThemeSelectionOptions />);
-    
+
     // Should render 2 theme buttons (from our mock)
-    const buttons = screen.getAllByRole("button")
+    const buttons = screen.getAllByRole('button');
     expect(buttons).toHaveLength(2);
   });
 
   it('renders theme options for mobile view', () => {
     // Mock useIsMobile to return true (mobile view)
     vi.spyOn(MobileContext, 'useIsMobile').mockReturnValue(true);
-    
+
     render(<ThemeSelectionOptions />);
-    
+
     // Should still render 2 theme buttons
     const buttons = screen.getAllByRole('button');
     expect(buttons).toHaveLength(2);
@@ -63,16 +64,16 @@ describe('ThemeSelectionOptions', () => {
 
   it('calls selectTheme when a theme button is clicked', () => {
     vi.spyOn(MobileContext, 'useIsMobile').mockReturnValue(false);
-    
+
     render(<ThemeSelectionOptions />);
-    
+
     const buttons = screen.getAllByRole('button');
     fireEvent.click(buttons[0]); // Click the first theme button (light)
-    
+
     // Verify that selectTheme was called with the correct theme name
     expect(userOptionsStore.selectTheme).toHaveBeenCalledWith('light');
-    
+
     fireEvent.click(buttons[1]); // Click the second theme button (dark)
     expect(userOptionsStore.selectTheme).toHaveBeenCalledWith('dark');
   });
-});
+});

packages/client/src/components/__tests__/WelcomeHome.test.tsx

@@ -1,22 +1,23 @@
-import { describe, it, expect } from 'vitest';
 import { render, screen } from '@testing-library/react';
-import WelcomeHomeMessage from '../WelcomeHome';
+import { describe, it, expect } from 'vitest';
+
 import { welcome_home_text, welcome_home_tip } from '../../static-data/welcome_home_text';
 import { renderMarkdown } from '../markdown/MarkdownComponent';
+import WelcomeHomeMessage from '../WelcomeHome';
 
 // Mock the renderMarkdown function
 vi.mock('../markdown/MarkdownComponent', () => ({
-  renderMarkdown: vi.fn((text) => `Rendered: ${text}`),
+  renderMarkdown: vi.fn(text => `Rendered: ${text}`),
 }));
 
 describe('WelcomeHomeMessage', () => {
   it('renders correctly when visible', () => {
     render(<WelcomeHomeMessage visible={true} />);
-    
+
     // Check if the rendered markdown content is in the document
     expect(screen.getByText(`Rendered: ${welcome_home_text}`)).toBeInTheDocument();
     expect(screen.getByText(`Rendered: ${welcome_home_tip}`)).toBeInTheDocument();
-    
+
     // Verify that renderMarkdown was called with the correct arguments
     expect(renderMarkdown).toHaveBeenCalledWith(welcome_home_text);
     expect(renderMarkdown).toHaveBeenCalledWith(welcome_home_tip);
@@ -24,17 +25,17 @@ describe('WelcomeHomeMessage', () => {
 
   it('applies animation variants based on visible prop', () => {
     const { rerender } = render(<WelcomeHomeMessage visible={true} />);
-    
+
     // When visible is true, the component should have the visible animation state
     // Since we've mocked framer-motion, we can't directly test the animation state
     // But we can verify that the component renders the content
     expect(screen.getByText(`Rendered: ${welcome_home_text}`)).toBeInTheDocument();
-    
+
     // Re-render with visible=false
     rerender(<WelcomeHomeMessage visible={false} />);
-    
+
     // Content should still be in the document even when not visible
     // (since we've mocked the animations)
     expect(screen.getByText(`Rendered: ${welcome_home_text}`)).toBeInTheDocument();
   });
-});
+});

packages/client/src/components/about/AboutComponent.tsx

@@ -1,14 +1,14 @@
-import React from "react";
-import { Grid, GridItem, Image, Text } from "@chakra-ui/react";
+import { Grid, GridItem, Image, Text } from '@chakra-ui/react';
+import React from 'react';
 
-const fontSize = "md";
+const fontSize = 'md';
 
 function AboutComponent() {
   return (
     <Grid
       templateColumns="1fr"
       gap={4}
-      maxW={["100%", "100%", "100%"]}
+      maxW={['100%', '100%', '100%']}
       mx="auto"
       className="about-container"
     >
@@ -17,22 +17,22 @@ function AboutComponent() {
           src="/me.png"
           alt="Geoff Seemueller"
           borderRadius="full"
-          boxSize={["120px", "150px"]}
+          boxSize={['120px', '150px']}
           objectFit="cover"
         />
       </GridItem>
       <GridItem
         colSpan={1}
-        maxW={["100%", "100%", "container.md"]}
+        maxW={['100%', '100%', 'container.md']}
         justifySelf="center"
-        minH={"100%"}
+        minH={'100%'}
       >
-        <Grid templateColumns="1fr" gap={4} overflowY={"auto"}>
+        <Grid templateColumns="1fr" gap={4} overflowY={'auto'}>
           <GridItem>
             <Text fontSize={fontSize}>
-              If you're interested in collaborating on innovative projects that
-              push technological boundaries and create real value, I'd be keen
-              to connect and explore potential opportunities.
+              If you're interested in collaborating on innovative projects that push technological
+              boundaries and create real value, I'd be keen to connect and explore potential
+              opportunities.
             </Text>
           </GridItem>
         </Grid>

packages/client/src/components/chat/Chat.tsx

@@ -1,30 +1,26 @@
-import React, { useEffect, useRef, useState } from "react";
-import { observer } from "mobx-react-lite";
-import { Box, Grid, GridItem } from "@chakra-ui/react";
-import ChatMessages from "./messages/ChatMessages";
-import ChatInput from "./input/ChatInput";
-import chatStore from "../../stores/ClientChatStore";
-import menuState from "../../stores/AppMenuStore";
-import WelcomeHome from "../WelcomeHome";
+import { Box, Grid, GridItem } from '@chakra-ui/react';
+import { observer } from 'mobx-react-lite';
+import React, { useEffect, useRef, useState } from 'react';
+
+import menuState from '../../stores/AppMenuStore';
+import chatStore from '../../stores/ClientChatStore';
+import WelcomeHome from '../WelcomeHome';
+
+import ChatInput from './input/ChatInput';
+import ChatMessages from './messages/ChatMessages';
 
 const Chat = observer(({ height, width }) => {
   const scrollRef = useRef();
   const [isAndroid, setIsAndroid] = useState(false);
 
   useEffect(() => {
-    if (typeof window !== "undefined") {
+    if (typeof window !== 'undefined') {
       setIsAndroid(/android/i.test(window.navigator.userAgent));
     }
   }, []);
 
   return (
-    <Grid
-      templateRows="1fr auto"
-      templateColumns="1fr"
-      height={height}
-      width={width}
-      gap={0}
-    >
+    <Grid templateRows="1fr auto" templateColumns="1fr" height={height} width={width} gap={0}>
       <GridItem alignSelf="center" hidden={!(chatStore.items.length < 1)}>
         <WelcomeHome visible={chatStore.items.length < 1} />
       </GridItem>
@@ -32,35 +28,20 @@ const Chat = observer(({ height, width }) => {
       <GridItem
         overflow="auto"
         width="100%"
-        maxH="100%"
+        maxH="100vh"
         ref={scrollRef}
         // If there are attachments, use "100px". Otherwise, use "128px" on Android, "73px" elsewhere.
-        pb={
-          isAndroid
-              ? "128px"
-              : "73px"
-        }
+        pb={isAndroid ? '128px' : '73px'}
         alignSelf="flex-end"
       >
         <ChatMessages scrollRef={scrollRef} />
       </GridItem>
 
-      <GridItem
-        position="relative"
-        bg="background.primary"
-        zIndex={1000}
-        width="100%"
-      >
-        <Box
-          w="100%"
-          display="flex"
-          justifyContent="center"
-          mx="auto"
-          hidden={menuState.isOpen}
-        >
+      <GridItem position="relative" bg="background.primary" zIndex={1000} width="100%">
+        <Box w="100%" display="flex" justifyContent="center" mx="auto" hidden={menuState.isOpen}>
           <ChatInput
             input={chatStore.input}
-            setInput={(value) => chatStore.setInput(value)}
+            setInput={value => chatStore.setInput(value)}
             handleSendMessage={chatStore.sendMessage}
             isLoading={chatStore.isLoading}
           />

packages/client/src/components/chat/IntermediateStepsComponent.tsx

@@ -1,16 +1,17 @@
-import React from "react";
-import { observer } from "mobx-react-lite";
-import clientChatStore from "../../stores/ClientChatStore";
+import { observer } from 'mobx-react-lite';
+import React from 'react';
+
+import clientChatStore from '../../stores/ClientChatStore';
 
 export const IntermediateStepsComponent = observer(({ hidden }) => {
   return (
     <div hidden={hidden}>
       {clientChatStore.intermediateSteps.map((step, index) => {
         switch (step.kind) {
-          case "web-search": {
+          case 'web-search': {
             return <WebSearchResult key={index} data={step.data} />;
           }
-          case "tool-result":
+          case 'tool-result':
             return <ToolResult key={index} data={step.data} />;
           default:
             return <GenericStep key={index} data={step.data} />;
@@ -45,7 +46,7 @@ export const GenericStep = ({ data }) => {
   return (
     <div className="generic-step">
       <h3>Generic Step</h3>
-      <p>{data.description || "No additional information provided."}</p>
+      <p>{data.description || 'No additional information provided.'}</p>
     </div>
   );
 };

packages/client/src/components/chat/input-menu/FlyoutSubMenu.tsx

@@ -1,5 +1,3 @@
-import React, { useRef } from "react";
-import { observer } from "mobx-react-lite";
 import {
   Box,
   Divider,
@@ -11,8 +9,10 @@ import {
   Portal,
   Text,
   useDisclosure,
-} from "@chakra-ui/react";
-import { ChevronRight } from "lucide-react";
+} from '@chakra-ui/react';
+import { ChevronRight } from 'lucide-react';
+import { observer } from 'mobx-react-lite';
+import React, { useRef } from 'react';
 
 const FlyoutSubMenu: React.FC<{
   title: string;
@@ -23,15 +23,7 @@ const FlyoutSubMenu: React.FC<{
   parentIsOpen: boolean;
   setMenuState?: (state) => void;
 }> = observer(
-  ({
-    title,
-    flyoutMenuOptions,
-    onClose,
-    handleSelect,
-    isSelected,
-    parentIsOpen,
-    setMenuState,
-  }) => {
+  ({ title, flyoutMenuOptions, onClose, handleSelect, isSelected, parentIsOpen, setMenuState }) => {
     const { isOpen, onOpen, onClose: onSubMenuClose } = useDisclosure();
 
     const menuRef = new useRef();
@@ -41,9 +33,9 @@ const FlyoutSubMenu: React.FC<{
         placement="right-start"
         isOpen={isOpen && parentIsOpen}
         closeOnBlur={true}
-        lazyBehavior={"keepMounted"}
+        lazyBehavior={'keepMounted'}
         isLazy={true}
-        onClose={(e) => {
+        onClose={e => {
           onSubMenuClose();
         }}
         closeOnSelect={false}
@@ -54,12 +46,12 @@ const FlyoutSubMenu: React.FC<{
           ref={menuRef}
           bg="background.tertiary"
           color="text.primary"
-          _hover={{ bg: "rgba(0, 0, 0, 0.05)" }}
-          _focus={{ bg: "rgba(0, 0, 0, 0.1)" }}
+          _hover={{ bg: 'rgba(0, 0, 0, 0.05)' }}
+          _focus={{ bg: 'rgba(0, 0, 0, 0.1)' }}
         >
-          <HStack width={"100%"} justifyContent={"space-between"}>
+          <HStack width={'100%'} justifyContent={'space-between'}>
             <Text>{title}</Text>
-            <ChevronRight size={"1rem"} />
+            <ChevronRight size={'1rem'} />
           </HStack>
         </MenuButton>
         <Portal>
@@ -67,7 +59,7 @@ const FlyoutSubMenu: React.FC<{
             key={title}
             maxHeight={56}
             overflowY="scroll"
-            visibility={"visible"}
+            visibility={'visible'}
             minWidth="180px"
             bg="background.tertiary"
             boxShadow="lg"
@@ -77,43 +69,35 @@ const FlyoutSubMenu: React.FC<{
             left="100%"
             bottom={-10}
             sx={{
-              "::-webkit-scrollbar": {
-                width: "8px",
+              '::-webkit-scrollbar': {
+                width: '8px',
               },
-              "::-webkit-scrollbar-thumb": {
-                background: "background.primary",
-                borderRadius: "4px",
+              '::-webkit-scrollbar-thumb': {
+                background: 'background.primary',
+                borderRadius: '4px',
               },
-              "::-webkit-scrollbar-track": {
-                background: "background.tertiary",
+              '::-webkit-scrollbar-track': {
+                background: 'background.tertiary',
               },
             }}
           >
             {flyoutMenuOptions.map((item, index) => (
-              <Box key={"itemflybox" + index}>
+              <Box key={'itemflybox' + index}>
                 <MenuItem
-                  key={"itemfly" + index}
+                  key={'itemfly' + index}
                   onClick={() => {
                     onSubMenuClose();
                     onClose();
                     handleSelect(item);
                   }}
-                  bg={
-                    isSelected(item)
-                      ? "background.secondary"
-                      : "background.tertiary"
-                  }
-                  _hover={{ bg: "rgba(0, 0, 0, 0.05)" }}
-                  _focus={{ bg: "rgba(0, 0, 0, 0.1)" }}
+                  bg={isSelected(item) ? 'background.secondary' : 'background.tertiary'}
+                  _hover={{ bg: 'rgba(0, 0, 0, 0.05)' }}
+                  _focus={{ bg: 'rgba(0, 0, 0, 0.1)' }}
                 >
                   {item.name}
                 </MenuItem>
                 {index < flyoutMenuOptions.length - 1 && (
-                  <Divider
-                    key={item.name + "-divider"}
-                    color="text.tertiary"
-                    w={"100%"}
-                  />
+                  <Divider key={item.name + '-divider'} color="text.tertiary" w={'100%'} />
                 )}
               </Box>
             ))}

packages/client/src/components/chat/input-menu/InputMenu.tsx

@@ -1,4 +1,3 @@
-import React, { useCallback, useEffect, useRef, useState } from "react";
 import {
   Box,
   Button,
@@ -12,204 +11,180 @@ import {
   Text,
   useDisclosure,
   useOutsideClick,
-} from "@chakra-ui/react";
-import { observer } from "mobx-react-lite";
-import { ChevronDown, Copy, RefreshCcw, Settings } from "lucide-react";
-import ClientChatStore from "../../../stores/ClientChatStore";
-import clientChatStore from "../../../stores/ClientChatStore";
-import FlyoutSubMenu from "./FlyoutSubMenu";
-import { useIsMobile } from "../../contexts/MobileContext";
-import { useIsMobile as useIsMobileUserAgent } from "../../../hooks/_IsMobileHook";
-import { getModelFamily, SUPPORTED_MODELS } from "../lib/SupportedModels";
-import { formatConversationMarkdown } from "../lib/exportConversationAsMarkdown";
+} from '@chakra-ui/react';
+import { ChevronDown, Copy, RefreshCcw, Settings } from 'lucide-react';
+import { observer } from 'mobx-react-lite';
+import React, { useCallback, useEffect, useRef, useState } from 'react';
+
+import { useIsMobile as useIsMobileUserAgent } from '../../../hooks/_IsMobileHook';
+import clientChatStore from '../../../stores/ClientChatStore';
+import { useIsMobile } from '../../contexts/MobileContext';
+import { formatConversationMarkdown } from '../lib/exportConversationAsMarkdown';
+
+import FlyoutSubMenu from './FlyoutSubMenu';
 
 export const MsM_commonButtonStyles = {
-  bg: "transparent",
-  color: "text.primary",
-  borderRadius: "full",
+  bg: 'transparent',
+  color: 'text.primary',
+  borderRadius: 'full',
   padding: 2,
-  border: "none",
-  _hover: { bg: "rgba(255, 255, 255, 0.2)" },
-  _active: { bg: "rgba(255, 255, 255, 0.3)" },
-  _focus: { boxShadow: "none" },
+  border: 'none',
+  _hover: { bg: 'rgba(255, 255, 255, 0.2)' },
+  _active: { bg: 'rgba(255, 255, 255, 0.3)' },
+  _focus: { boxShadow: 'none' },
 };
 
-const InputMenu: React.FC<{ isDisabled?: boolean }> = observer(
-  ({ isDisabled }) => {
-    const isMobile = useIsMobile();
-    const isMobileUserAgent = useIsMobileUserAgent();
-    const {
-      isOpen,
-      onOpen,
-      onClose,
-      onToggle,
-      getDisclosureProps,
-      getButtonProps,
-    } = useDisclosure();
+const InputMenu: React.FC<{ isDisabled?: boolean }> = observer(({ isDisabled }) => {
+  const isMobile = useIsMobile();
+  const isMobileUserAgent = useIsMobileUserAgent();
+  const { isOpen, onOpen, onClose, onToggle, getDisclosureProps, getButtonProps } = useDisclosure();
 
-    const [controlledOpen, setControlledOpen] = useState<boolean>(false);
+  const [controlledOpen, setControlledOpen] = useState<boolean>(false);
+  const [supportedModels, setSupportedModels] = useState<any[]>([]);
 
-    useEffect(() => {
-      setControlledOpen(isOpen);
-    }, [isOpen]);
+  useEffect(() => {
+    setControlledOpen(isOpen);
+  }, [isOpen]);
 
+  useEffect(() => {
+    fetch('/api/models')
+      .then(response => response.json())
+      .then(models => {
+        setSupportedModels(models);
+      })
+      .catch(err => {
+        console.error('Could not fetch models: ', err);
+      });
+  }, []);
 
-    const getSupportedModels = async () => {
-        // Check if fetch is available (browser environment)
-        if (typeof fetch !== 'undefined') {
-            try {
-                return await (await fetch("/api/models")).json();
-            } catch (error) {
-                console.error("Error fetching models:", error);
-                return [];
-            }
-        } else {
-            // In test environment or where fetch is not available
-            console.log("Fetch not available, using default models");
-            return [];
-        }
-    }
+  const handleClose = useCallback(() => {
+    onClose();
+  }, [isOpen]);
 
-      useEffect(() => {
-           getSupportedModels().then((supportedModels) => {
-               // Check if setSupportedModels method exists before calling it
-               if (clientChatStore.setSupportedModels) {
-                   clientChatStore.setSupportedModels(supportedModels);
-               } else {
-                   console.log("setSupportedModels method not available in this environment");
-               }
-           });
-      }, []);
+  const handleCopyConversation = useCallback(() => {
+    navigator.clipboard
+      .writeText(formatConversationMarkdown(clientChatStore.items))
+      .then(() => {
+        window.alert('Conversation copied to clipboard. \n\nPaste it somewhere safe!');
+        onClose();
+      })
+      .catch(err => {
+        console.error('Could not copy text to clipboard: ', err);
+        window.alert('Failed to copy conversation. Please try again.');
+      });
+  }, [onClose]);
 
+  async function selectModelFn({ name, value }) {
+    clientChatStore.setModel(value);
+  }
 
-    const handleClose = useCallback(() => {
-      onClose();
-    }, [isOpen]);
+  function isSelectedModelFn({ name, value }) {
+    return clientChatStore.model === value;
+  }
 
-    const handleCopyConversation = useCallback(() => {
-      navigator.clipboard
-        .writeText(formatConversationMarkdown(clientChatStore.items))
-        .then(() => {
-          window.alert(
-            "Conversation copied to clipboard. \n\nPaste it somewhere safe!",
-          );
-          onClose();
-        })
-        .catch((err) => {
-          console.error("Could not copy text to clipboard: ", err);
-          window.alert("Failed to copy conversation. Please try again.");
-        });
-    }, [onClose]);
+  const menuRef = useRef();
+  const [menuState, setMenuState] = useState();
 
-    async function selectModelFn({ name, value }) {
-        clientChatStore.setModel(value);
-    }
+  useOutsideClick({
+    enabled: !isMobile && isOpen,
+    ref: menuRef,
+    handler: () => {
+      handleClose();
+    },
+  });
 
-    function isSelectedModelFn({ name, value }) {
-      return clientChatStore.model === value;
-    }
-
-    const menuRef = useRef();
-    const [menuState, setMenuState] = useState();
-
-    useOutsideClick({
-      enabled: !isMobile && isOpen,
-      ref: menuRef,
-      handler: () => {
-        handleClose();
-      },
-    });
-
-    return (
-      <Menu
-        isOpen={controlledOpen}
-        onClose={onClose}
-        onOpen={onOpen}
-        autoSelect={false}
-        closeOnSelect={false}
-        closeOnBlur={isOpen && !isMobileUserAgent}
-        isLazy={true}
-        lazyBehavior={"unmount"}
-      >
-        {isMobile ? (
-          <MenuButton
-            as={IconButton}
-            bg="text.accent"
-            icon={<Settings size={20} />}
-            isDisabled={isDisabled}
-            aria-label="Settings"
-            _hover={{ bg: "rgba(255, 255, 255, 0.2)" }}
-            _focus={{ boxShadow: "none" }}
-            {...MsM_commonButtonStyles}
-          />
-        ) : (
-          <MenuButton
-            as={Button}
-            rightIcon={<ChevronDown size={16} />}
-            isDisabled={isDisabled}
-            variant="ghost"
-            display="flex"
-            justifyContent="space-between"
-            alignItems="center"
-            minW="auto"
-            {...MsM_commonButtonStyles}
-          >
-            <Text noOfLines={1} maxW="100px" fontSize="sm">
-              {clientChatStore.model}
-            </Text>
-          </MenuButton>
-        )}
-        <MenuList
-          bg="background.tertiary"
-          border="none"
-          borderRadius="md"
-          boxShadow="lg"
-          minW={"10rem"}
-          ref={menuRef}
+  return (
+    <Menu
+      isOpen={controlledOpen}
+      onClose={onClose}
+      onOpen={onOpen}
+      autoSelect={false}
+      closeOnSelect={false}
+      closeOnBlur={isOpen && !isMobileUserAgent}
+      isLazy={true}
+      lazyBehavior={'unmount'}
+    >
+      {isMobile ? (
+        <MenuButton
+          as={IconButton}
+          bg="text.accent"
+          icon={<Settings size={20} />}
+          isDisabled={isDisabled}
+          aria-label="Settings"
+          _hover={{ bg: 'rgba(255, 255, 255, 0.2)' }}
+          _focus={{ boxShadow: 'none' }}
+          {...MsM_commonButtonStyles}
+        />
+      ) : (
+        <MenuButton
+          as={Button}
+          rightIcon={<ChevronDown size={16} />}
+          isDisabled={isDisabled}
+          variant="ghost"
+          display="flex"
+          justifyContent="space-between"
+          alignItems="center"
+          minW="auto"
+          {...MsM_commonButtonStyles}
         >
-          <FlyoutSubMenu
-            title="Text Models"
-            flyoutMenuOptions={clientChatStore.supportedModels.map((m) => ({ name: m, value: m }))}
-            onClose={onClose}
-            parentIsOpen={isOpen}
-            setMenuState={setMenuState}
-            handleSelect={selectModelFn}
-            isSelected={isSelectedModelFn}
-          />
-          <Divider color="text.tertiary" />
-          {/*Export conversation button*/}
-          <MenuItem
-            bg="background.tertiary"
-            color="text.primary"
-            onClick={handleCopyConversation}
-            _hover={{ bg: "rgba(0, 0, 0, 0.05)" }}
-            _focus={{ bg: "rgba(0, 0, 0, 0.1)" }}
-          >
-            <Flex align="center">
-              <Copy size="16px" style={{ marginRight: "8px" }} />
-              <Box>Export</Box>
-            </Flex>
-          </MenuItem>
-          {/*New conversation button*/}
-          <MenuItem
-            bg="background.tertiary"
-            color="text.primary"
-            onClick={() => {
-              clientChatStore.setActiveConversation("conversation:new");
-              onClose();
-            }}
-            _hover={{ bg: "rgba(0, 0, 0, 0.05)" }}
-            _focus={{ bg: "rgba(0, 0, 0, 0.1)" }}
-          >
-            <Flex align="center">
-              <RefreshCcw size="16px" style={{ marginRight: "8px" }} />
-              <Box>New</Box>
-            </Flex>
-          </MenuItem>
-        </MenuList>
-      </Menu>
-    );
-  },
-);
+          <Text noOfLines={1} maxW="100px" fontSize="sm">
+            {clientChatStore.model}
+          </Text>
+        </MenuButton>
+      )}
+      <MenuList
+        bg="background.tertiary"
+        border="none"
+        borderRadius="md"
+        boxShadow="lg"
+        minW={'10rem'}
+        ref={menuRef}
+      >
+        <FlyoutSubMenu
+          title="Text Models"
+          flyoutMenuOptions={supportedModels.map(modelData => ({
+            name: modelData.id.split('/').pop() || modelData.id,
+            value: modelData.id,
+          }))}
+          onClose={onClose}
+          parentIsOpen={isOpen}
+          setMenuState={setMenuState}
+          handleSelect={selectModelFn}
+          isSelected={isSelectedModelFn}
+        />
+        <Divider color="text.tertiary" />
+        {/*Export conversation button*/}
+        <MenuItem
+          bg="background.tertiary"
+          color="text.primary"
+          onClick={handleCopyConversation}
+          _hover={{ bg: 'rgba(0, 0, 0, 0.05)' }}
+          _focus={{ bg: 'rgba(0, 0, 0, 0.1)' }}
+        >
+          <Flex align="center">
+            <Copy size="16px" style={{ marginRight: '8px' }} />
+            <Box>Export</Box>
+          </Flex>
+        </MenuItem>
+        {/*New conversation button*/}
+        <MenuItem
+          bg="background.tertiary"
+          color="text.primary"
+          onClick={() => {
+            clientChatStore.reset();
+            onClose();
+          }}
+          _hover={{ bg: 'rgba(0, 0, 0, 0.05)' }}
+          _focus={{ bg: 'rgba(0, 0, 0, 0.1)' }}
+        >
+          <Flex align="center">
+            <RefreshCcw size="16px" style={{ marginRight: '8px' }} />
+            <Box>New</Box>
+          </Flex>
+        </MenuItem>
+      </MenuList>
+    </Menu>
+  );
+});
 
 export default InputMenu;

packages/client/src/components/chat/input/ChatInput.tsx

@@ -1,34 +1,28 @@
-import React, { useEffect, useRef, useState } from "react";
-import {
-  Box,
-  Button,
-  Grid,
-  GridItem,
-  useBreakpointValue,
-} from "@chakra-ui/react";
-import { observer } from "mobx-react-lite";
-import chatStore from "../../../stores/ClientChatStore";
-import InputMenu from "../input-menu/InputMenu";
-import InputTextarea from "./ChatInputTextArea";
-import SendButton from "./ChatInputSendButton";
-import { useMaxWidth } from "../../../hooks/useMaxWidth";
-import userOptionsStore from "../../../stores/UserOptionsStore";
+import { Box, Button, Grid, GridItem, useBreakpointValue } from '@chakra-ui/react';
+import { observer } from 'mobx-react-lite';
+import React, { useEffect, useRef, useState } from 'react';
+
+import { useMaxWidth } from '../../../hooks/useMaxWidth';
+import chatStore from '../../../stores/ClientChatStore';
+import userOptionsStore from '../../../stores/UserOptionsStore';
+import InputMenu from '../input-menu/InputMenu';
+
+import SendButton from './ChatInputSendButton';
+import InputTextarea from './ChatInputTextArea';
 
 const ChatInput = observer(() => {
   const inputRef = useRef<HTMLTextAreaElement>(null);
   const containerRef = useRef<HTMLDivElement>(null);
   const maxWidth = useMaxWidth();
-  const [inputValue, setInputValue] = useState<string>("");
+  const [inputValue, setInputValue] = useState<string>('');
 
   const [containerHeight, setContainerHeight] = useState(56);
   const [containerBorderRadius, setContainerBorderRadius] = useState(9999);
 
-  const [shouldFollow, setShouldFollow] = useState<boolean>(
-    userOptionsStore.followModeEnabled,
-  );
+  const [shouldFollow, setShouldFollow] = useState<boolean>(userOptionsStore.followModeEnabled);
   const [couldFollow, setCouldFollow] = useState<boolean>(chatStore.isLoading);
 
-  const [inputWidth, setInputWidth] = useState<string>("50%");
+  const [inputWidth, setInputWidth] = useState<string>('40%');
 
   useEffect(() => {
     setShouldFollow(chatStore.isLoading && userOptionsStore.followModeEnabled);
@@ -42,8 +36,8 @@ const ChatInput = observer(() => {
 
   useEffect(() => {
     if (containerRef.current) {
-      const observer = new ResizeObserver((entries) => {
-        for (let entry of entries) {
+      const observer = new ResizeObserver(entries => {
+        for (const entry of entries) {
           const newHeight = entry.target.clientHeight;
           setContainerHeight(newHeight);
 
@@ -63,27 +57,25 @@ const ChatInput = observer(() => {
   };
 
   const handleKeyDown = (e: React.KeyboardEvent<HTMLTextAreaElement>) => {
-    if (e.key === "Enter" && !e.shiftKey) {
+    if (e.key === 'Enter' && !e.shiftKey) {
       e.preventDefault();
       chatStore.sendMessage();
     }
   };
 
   const inputMaxWidth = useBreakpointValue(
-    { base: "50rem", lg: "50rem", md: "80%", sm: "100vw" },
+    { base: '30rem', lg: '50rem', md: '80%', sm: '100vw' },
     { ssr: true },
   );
-  const inputMinWidth = useBreakpointValue({ lg: "40rem" }, { ssr: true });
+  const inputMinWidth = useBreakpointValue({ lg: '40rem', md: '30rem' }, { ssr: true });
 
   useEffect(() => {
-    setInputWidth("100%");
+    setInputWidth('100%');
   }, [inputMaxWidth, inputMinWidth]);
 
   return (
     <Box
-      width={inputWidth}
-      maxW={inputMaxWidth}
-      minWidth={inputMinWidth}
+      width={inputMinWidth}
       mx="auto"
       p={2}
       pl={2}
@@ -105,12 +97,12 @@ const ChatInput = observer(() => {
             size="sm"
             variant="ghost"
             colorScheme="blue"
-            onClick={(_) => {
+            onClick={_ => {
               userOptionsStore.toggleFollowMode();
             }}
             isDisabled={!chatStore.isLoading}
           >
-            {shouldFollow ? "Disable Follow Mode" : "Enable Follow Mode"}
+            {shouldFollow ? 'Disable Follow Mode' : 'Enable Follow Mode'}
           </Button>
         </Box>
       )}
@@ -123,7 +115,7 @@ const ChatInput = observer(() => {
         gap={2}
         alignItems="center"
         style={{
-          transition: "border-radius 0.2s ease",
+          transition: 'border-radius 0.2s ease',
         }}
       >
         <GridItem>

packages/client/src/components/chat/input/ChatInputSendButton.tsx

@@ -1,9 +1,9 @@
-import React from "react";
-import { Button } from "@chakra-ui/react";
-import clientChatStore from "../../../stores/ClientChatStore";
-import { CirclePause, Send } from "lucide-react";
+import { Button } from '@chakra-ui/react';
+import { motion } from 'framer-motion';
+import { CirclePause, Send } from 'lucide-react';
+import React from 'react';
 
-import { motion } from "framer-motion";
+import clientChatStore from '../../../stores/ClientChatStore';
 
 interface SendButtonProps {
   isLoading: boolean;
@@ -13,25 +13,20 @@ interface SendButtonProps {
 }
 
 const SendButton: React.FC<SendButtonProps> = ({ onClick }) => {
-  const isDisabled =
-    clientChatStore.input.trim().length === 0 && !clientChatStore.isLoading;
+  const isDisabled = clientChatStore.input.trim().length === 0 && !clientChatStore.isLoading;
   return (
     <Button
-      onClick={(e) =>
-        clientChatStore.isLoading
-          ? clientChatStore.stopIncomingMessage()
-          : onClick(e)
+      onClick={e =>
+        clientChatStore.isLoading ? clientChatStore.stopIncomingMessage() : onClick(e)
       }
       bg="transparent"
-      color={
-        clientChatStore.input.trim().length <= 1 ? "brand.700" : "text.primary"
-      }
+      color={clientChatStore.input.trim().length <= 1 ? 'brand.700' : 'text.primary'}
       borderRadius="full"
       p={2}
       isDisabled={isDisabled}
-      _hover={{ bg: !isDisabled ? "rgba(255, 255, 255, 0.2)" : "inherit" }}
-      _active={{ bg: !isDisabled ? "rgba(255, 255, 255, 0.3)" : "inherit" }}
-      _focus={{ boxShadow: "none" }}
+      _hover={{ bg: !isDisabled ? 'rgba(255, 255, 255, 0.2)' : 'inherit' }}
+      _active={{ bg: !isDisabled ? 'rgba(255, 255, 255, 0.3)' : 'inherit' }}
+      _focus={{ boxShadow: 'none' }}
     >
       {clientChatStore.isLoading ? <MySpinner /> : <Send size={20} />}
     </Button>
@@ -45,10 +40,10 @@ const MySpinner = ({ onClick }) => (
     exit={{ opacity: 0, scale: 0.9 }}
     transition={{
       duration: 0.4,
-      ease: "easeInOut",
+      ease: 'easeInOut',
     }}
   >
-    <CirclePause color={"#F0F0F0"} size={24} onClick={onClick} />
+    <CirclePause color={'#F0F0F0'} size={24} onClick={onClick} />
   </motion.div>
 );
 

packages/client/src/components/chat/input/ChatInputTextArea.tsx

@@ -1,7 +1,7 @@
-import React, {useEffect, useRef, useState} from "react";
-import {observer} from "mobx-react-lite";
-import {Box, chakra, InputGroup,} from "@chakra-ui/react";
-import AutoResize from "react-textarea-autosize";
+import { Box, chakra, InputGroup, useBreakpointValue } from '@chakra-ui/react';
+import { observer } from 'mobx-react-lite';
+import React, { useEffect, useRef, useState } from 'react';
+import AutoResize from 'react-textarea-autosize';
 
 const AutoResizeTextArea = chakra(AutoResize);
 
@@ -15,14 +15,11 @@ interface InputTextAreaProps {
 
 const InputTextArea: React.FC<InputTextAreaProps> = observer(
   ({ inputRef, value, onChange, onKeyDown, isLoading }) => {
-
-    const [heightConstraint, setHeightConstraint] = useState<
-      number | undefined
-    >(10);
+    const [heightConstraint, setHeightConstraint] = useState<number | undefined>(10);
 
     useEffect(() => {
       if (value.length > 10) {
-        setHeightConstraint();
+        setHeightConstraint(parseInt(value));
       }
     }, [value]);
 
@@ -34,7 +31,6 @@ const InputTextArea: React.FC<InputTextAreaProps> = observer(
         display="flex"
         flexDirection="column"
       >
-
         {/* Input Area */}
         <InputGroup position="relative">
           <AutoResizeTextArea
@@ -42,8 +38,9 @@ const InputTextArea: React.FC<InputTextAreaProps> = observer(
             ref={inputRef}
             value={value}
             height={heightConstraint}
+            maxH={heightConstraint}
             autoFocus
-            onChange={(e) => onChange(e.target.value)}
+            onChange={e => onChange(e.target.value)}
             onKeyDown={onKeyDown}
             p={2}
             pr="8px"
@@ -53,19 +50,25 @@ const InputTextArea: React.FC<InputTextAreaProps> = observer(
             borderRadius="20px"
             border="none"
             placeholder="Free my mind..."
-            _placeholder={{ color: "gray.400" }}
+            _placeholder={{
+              color: 'gray.400',
+              textWrap: 'nowrap',
+              textOverflow: 'ellipsis',
+              overflow: 'hidden',
+              width: '90%',
+            }}
             _focus={{
-              outline: "none",
+              outline: 'none',
             }}
             disabled={isLoading}
             minRows={1}
             maxRows={12}
             style={{
-              touchAction: "none",
-              resize: "none",
-              overflowY: "auto",
-              width: "100%",
-              transition: "height 0.2s ease-in-out",
+              touchAction: 'none',
+              resize: 'none',
+              overflowY: 'auto',
+              width: '100%',
+              transition: 'height 0.2s ease-in-out',
             }}
           />
         </InputGroup>

packages/client/src/components/chat/input/__tests__/ChatInput.test.tsx

@@ -1,9 +1,10 @@
-import { describe, it, expect, vi, beforeEach } from 'vitest';
 import { render, screen, fireEvent } from '@testing-library/react';
 import React from 'react';
-import ChatInput from '../ChatInput';
-import userOptionsStore from '../../../../stores/UserOptionsStore';
+import { describe, it, expect, vi, beforeEach } from 'vitest';
+
 import chatStore from '../../../../stores/ClientChatStore';
+import userOptionsStore from '../../../../stores/UserOptionsStore';
+import ChatInput from '../ChatInput';
 
 // Mock browser APIs
 class MockResizeObserver {
@@ -85,7 +86,7 @@ vi.mock('./ChatInputTextArea', () => ({
       aria-label="Chat input"
       ref={inputRef}
       value={value}
-      onChange={(e) => onChange(e.target.value)}
+      onChange={e => onChange(e.target.value)}
       onKeyDown={onKeyDown}
       disabled={isLoading}
     />

packages/client/src/components/chat/lib/SupportedModels.ts

@@ -8,16 +8,16 @@ const SUPPORTED_MODELS_GROUPS = {
   groq: [
     // "mixtral-8x7b-32768",
     // "deepseek-r1-distill-llama-70b",
-    "meta-llama/llama-4-scout-17b-16e-instruct",
-    "gemma2-9b-it",
-    "mistral-saba-24b",
+    'meta-llama/llama-4-scout-17b-16e-instruct',
+    'gemma2-9b-it',
+    'mistral-saba-24b',
     // "qwen-2.5-32b",
-    "llama-3.3-70b-versatile",
+    'llama-3.3-70b-versatile',
     // "llama-3.3-70b-versatile"
     // "llama-3.1-70b-versatile",
     // "llama-3.3-70b-versatile"
   ],
-  cerebras: ["llama-3.3-70b"],
+  cerebras: ['llama-3.3-70b'],
   claude: [
     // "claude-3-5-sonnet-20241022",
     // "claude-3-opus-20240229"
@@ -44,34 +44,34 @@ const SUPPORTED_MODELS_GROUPS = {
     // "grok-beta"
   ],
   cloudflareAI: [
-    "llama-3.2-3b-instruct", // max_tokens
-    "llama-3-8b-instruct", // max_tokens
-    "llama-3.1-8b-instruct-fast", // max_tokens
-    "deepseek-math-7b-instruct",
-    "deepseek-coder-6.7b-instruct-awq",
-    "hermes-2-pro-mistral-7b",
-    "openhermes-2.5-mistral-7b-awq",
-    "mistral-7b-instruct-v0.2",
-    "neural-chat-7b-v3-1-awq",
-    "openchat-3.5-0106",
+    'llama-3.2-3b-instruct', // max_tokens
+    'llama-3-8b-instruct', // max_tokens
+    'llama-3.1-8b-instruct-fast', // max_tokens
+    'deepseek-math-7b-instruct',
+    'deepseek-coder-6.7b-instruct-awq',
+    'hermes-2-pro-mistral-7b',
+    'openhermes-2.5-mistral-7b-awq',
+    'mistral-7b-instruct-v0.2',
+    'neural-chat-7b-v3-1-awq',
+    'openchat-3.5-0106',
     // "gemma-7b-it",
   ],
 };
 
 export type SupportedModel =
-    | keyof typeof SUPPORTED_MODELS_GROUPS
-    | (typeof SUPPORTED_MODELS_GROUPS)[keyof typeof SUPPORTED_MODELS_GROUPS][number];
+  | keyof typeof SUPPORTED_MODELS_GROUPS
+  | (typeof SUPPORTED_MODELS_GROUPS)[keyof typeof SUPPORTED_MODELS_GROUPS][number];
 
 export type ModelFamily = keyof typeof SUPPORTED_MODELS_GROUPS;
 
 function getModelFamily(model: string): ModelFamily | undefined {
   return Object.keys(SUPPORTED_MODELS_GROUPS)
-      .filter((family) => {
-        return SUPPORTED_MODELS_GROUPS[
-            family as keyof typeof SUPPORTED_MODELS_GROUPS
-            ].includes(model.trim());
-      })
-      .at(0) as ModelFamily | undefined;
+    .filter(family => {
+      return SUPPORTED_MODELS_GROUPS[family as keyof typeof SUPPORTED_MODELS_GROUPS].includes(
+        model.trim(),
+      );
+    })
+    .at(0) as ModelFamily | undefined;
 }
 
 const SUPPORTED_MODELS = [

packages/client/src/components/chat/lib/domPurify.ts

@@ -1,30 +1,30 @@
-import DOMPurify from "isomorphic-dompurify";
+import DOMPurify from 'isomorphic-dompurify';
 
 function domPurify(dirty: string) {
   return DOMPurify.sanitize(dirty, {
     USE_PROFILES: { html: true },
     ALLOWED_TAGS: [
-      "b",
-      "i",
-      "u",
-      "a",
-      "p",
-      "span",
-      "div",
-      "table",
-      "thead",
-      "tbody",
-      "tr",
-      "td",
-      "th",
-      "ul",
-      "ol",
-      "li",
-      "code",
-      "pre",
+      'b',
+      'i',
+      'u',
+      'a',
+      'p',
+      'span',
+      'div',
+      'table',
+      'thead',
+      'tbody',
+      'tr',
+      'td',
+      'th',
+      'ul',
+      'ol',
+      'li',
+      'code',
+      'pre',
     ],
-    ALLOWED_ATTR: ["href", "src", "alt", "title", "class", "style"],
-    FORBID_TAGS: ["script", "iframe"],
+    ALLOWED_ATTR: ['href', 'src', 'alt', 'title', 'class', 'style'],
+    FORBID_TAGS: ['script', 'iframe'],
     KEEP_CONTENT: true,
     SAFE_FOR_TEMPLATES: true,
   });

packages/client/src/components/chat/lib/exportConversationAsMarkdown.ts

@@ -1,18 +1,17 @@
 // Function to generate a Markdown representation of the current conversation
-import { type IMessage } from "../../../stores/ClientChatStore";
-import { Instance } from "mobx-state-tree";
+import { type Instance } from 'mobx-state-tree';
 
-export function formatConversationMarkdown(
-  messages: Instance<typeof IMessage>[],
-): string {
+import { type IMessage } from '../../../stores/ClientChatStore';
+
+export function formatConversationMarkdown(messages: Instance<typeof IMessage>[]): string {
   return messages
-    .map((message) => {
-      if (message.role === "user") {
+    .map(message => {
+      if (message.role === 'user') {
         return `**You**: ${message.content}`;
-      } else if (message.role === "assistant") {
-        return `**Geoff's AI**: ${message.content}`;
+      } else if (message.role === 'assistant') {
+        return `**open-gsio**: ${message.content}`;
       }
-      return "";
+      return '';
     })
-    .join("\n\n");
+    .join('\n\n');
 }

packages/client/src/components/chat/messages/ChatMessageContent.tsx

@@ -1,6 +1,6 @@
-import React from "react";
+import React from 'react';
 
-import MessageMarkdownRenderer from "./MessageMarkdownRenderer";
+import MessageMarkdownRenderer from './MessageMarkdownRenderer';
 
 const ChatMessageContent = ({ content }) => {
   return <MessageMarkdownRenderer markdown={content} />;

packages/client/src/components/chat/messages/ChatMessages.tsx

@@ -1,9 +1,11 @@
-import React from "react";
-import {Box, Grid, GridItem} from "@chakra-ui/react";
-import MessageBubble from "./MessageBubble";
-import {observer} from "mobx-react-lite";
-import chatStore from "../../../stores/ClientChatStore";
-import {useIsMobile} from "../../contexts/MobileContext";
+import { Box, Grid, GridItem } from '@chakra-ui/react';
+import { observer } from 'mobx-react-lite';
+import React from 'react';
+
+import chatStore from '../../../stores/ClientChatStore';
+import { useIsMobile } from '../../contexts/MobileContext';
+
+import MessageBubble from './MessageBubble';
 
 interface ChatMessagesProps {
   scrollRef: React.RefObject<HTMLDivElement>;
@@ -13,11 +15,7 @@ const ChatMessages: React.FC<ChatMessagesProps> = observer(({ scrollRef }) => {
   const isMobile = useIsMobile();
 
   return (
-    <Box
-      pt={isMobile ? 24 : undefined}
-      overflowY={"scroll"}
-      overflowX={"hidden"}
-    >
+    <Box pt={isMobile ? 24 : undefined} overflowY={'scroll'} overflowX={'hidden'}>
       <Grid
         fontFamily="Arial, sans-serif"
         templateColumns="1fr"

packages/client/src/components/chat/messages/MessageBubble.tsx

@@ -1,43 +1,43 @@
-import React, { useEffect, useRef, useState } from "react";
-import { Box, Flex, Text } from "@chakra-ui/react";
-import MessageRenderer from "./ChatMessageContent";
-import { observer } from "mobx-react-lite";
-import MessageEditor from "./MessageEditorComponent";
-import UserMessageTools from "./UserMessageTools";
-import clientChatStore from "../../../stores/ClientChatStore";
-import UserOptionsStore from "../../../stores/UserOptionsStore";
-import MotionBox from "./MotionBox";
+import { Box, Flex, Text } from '@chakra-ui/react';
+import { observer } from 'mobx-react-lite';
+import React, { useEffect, useRef, useState } from 'react';
 
+import clientChatStore from '../../../stores/ClientChatStore';
+import UserOptionsStore from '../../../stores/UserOptionsStore';
 
+import MessageRenderer from './ChatMessageContent';
+import MessageEditor from './MessageEditorComponent';
+import MotionBox from './MotionBox';
+import UserMessageTools from './UserMessageTools';
 
 const LoadingDots = () => {
   return (
-      <Flex>
-        {[0, 1, 2].map((i) => (
-            <MotionBox
-                key={i}
-                width="8px"
-                height="8px"
-                borderRadius="50%"
-                backgroundColor="text.primary"
-                margin="0 4px"
-                animate={{
-                  scale: [1, 1.2, 1],
-                  opacity: [0.5, 1, 0.5],
-                }}
-                transition={{
-                  duration: 1,
-                  repeat: Infinity,
-                  delay: i * 0.2,
-                }}
-            />
-        ))}
-      </Flex>
+    <Flex>
+      {[0, 1, 2].map(i => (
+        <MotionBox
+          key={i}
+          width="8px"
+          height="8px"
+          borderRadius="50%"
+          backgroundColor="text.primary"
+          margin="0 4px"
+          animate={{
+            scale: [1, 1.2, 1],
+            opacity: [0.5, 1, 0.5],
+          }}
+          transition={{
+            duration: 1,
+            repeat: Infinity,
+            delay: i * 0.2,
+          }}
+        />
+      ))}
+    </Flex>
   );
-}
+};
 
 function renderMessage(msg: any) {
-  if (msg.role === "user") {
+  if (msg.role === 'user') {
     return (
       <Text as="p" fontSize="sm" lineHeight="short" color="text.primary">
         {msg.content}
@@ -50,8 +50,8 @@ function renderMessage(msg: any) {
 const MessageBubble = observer(({ msg, scrollRef }) => {
   const [isEditing, setIsEditing] = useState(false);
   const [isHovered, setIsHovered] = useState(false);
-  const isUser = msg.role === "user";
-  const senderName = isUser ? "You" : "Geoff's AI";
+  const isUser = msg.role === 'user';
+  const senderName = isUser ? 'You' : 'open-gsio';
   const isLoading = !msg.content || !(msg.content.trim().length > 0);
   const messageRef = useRef();
 
@@ -64,10 +64,15 @@ const MessageBubble = observer(({ msg, scrollRef }) => {
   };
 
   useEffect(() => {
-    if (clientChatStore.items.length > 0 && clientChatStore.isLoading && UserOptionsStore.followModeEnabled) { // Refine condition
+    if (
+      clientChatStore.items.length > 0 &&
+      clientChatStore.isLoading &&
+      UserOptionsStore.followModeEnabled
+    ) {
+      // Refine condition
       scrollRef.current?.scrollTo({
         top: scrollRef.current.scrollHeight,
-        behavior: "auto",
+        behavior: 'auto',
       });
     }
   });
@@ -75,7 +80,7 @@ const MessageBubble = observer(({ msg, scrollRef }) => {
   return (
     <Flex
       flexDirection="column"
-      alignItems={isUser ? "flex-end" : "flex-start"}
+      alignItems={isUser ? 'flex-end' : 'flex-start'}
       role="listitem"
       flex={0}
       aria-label={`Message from ${senderName}`}
@@ -85,19 +90,19 @@ const MessageBubble = observer(({ msg, scrollRef }) => {
       <Text
         fontSize="xs"
         color="text.tertiary"
-        textAlign={isUser ? "right" : "left"}
-        alignSelf={isUser ? "flex-end" : "flex-start"}
+        textAlign={isUser ? 'right' : 'left'}
+        alignSelf={isUser ? 'flex-end' : 'flex-start'}
         mb={1}
       >
         {senderName}
       </Text>
 
       <MotionBox
-        minW={{ base: "99%", sm: "99%", lg: isUser ? "55%" : "60%" }}
-        maxW={{ base: "99%", sm: "99%", lg: isUser ? "65%" : "65%" }}
+        minW={{ base: '99%', sm: '99%', lg: isUser ? '55%' : '60%' }}
+        maxW={{ base: '99%', sm: '99%', lg: isUser ? '65%' : '65%' }}
         p={3}
         borderRadius="1.5em"
-        bg={isUser ? "#0A84FF" : "#3A3A3C"}
+        bg={isUser ? '#0A84FF' : '#3A3A3C'}
         color="text.primary"
         textAlign="left"
         boxShadow="0 2px 4px rgba(0, 0, 0, 0.1)"
@@ -115,10 +120,10 @@ const MessageBubble = observer(({ msg, scrollRef }) => {
             whiteSpace="pre-wrap"
             ref={messageRef}
             sx={{
-              "pre, code": {
-                maxWidth: "100%",
-                whiteSpace: "pre-wrap",
-                overflowX: "auto",
+              'pre, code': {
+                maxWidth: '100%',
+                whiteSpace: 'pre-wrap',
+                overflowX: 'auto',
               },
             }}
           >
@@ -139,9 +144,7 @@ const MessageBubble = observer(({ msg, scrollRef }) => {
               justifyContent="center"
               alignItems="center"
             >
-              {isHovered && !isEditing && (
-                <UserMessageTools message={msg} onEdit={handleEdit} />
-              )}
+              {isHovered && !isEditing && <UserMessageTools message={msg} onEdit={handleEdit} />}
             </Box>
           )}
         </Flex>

packages/client/src/components/chat/messages/MessageEditorComponent.tsx

@@ -1,10 +1,11 @@
-import React, { KeyboardEvent, useEffect } from "react";
-import { Box, Flex, IconButton, Textarea } from "@chakra-ui/react";
-import { Check, X } from "lucide-react";
-import { observer } from "mobx-react-lite";
-import { Instance } from "mobx-state-tree";
-import Message from "../../../models/Message";
-import messageEditorStore from "../../../stores/MessageEditorStore";
+import { Box, Flex, IconButton, Textarea } from '@chakra-ui/react';
+import { Check, X } from 'lucide-react';
+import { observer } from 'mobx-react-lite';
+import { type Instance } from 'mobx-state-tree';
+import React, { type KeyboardEvent, useEffect } from 'react';
+
+import Message from '../../../models/Message';
+import messageEditorStore from '../../../stores/MessageEditorStore';
 
 interface MessageEditorProps {
   message: Instance<typeof Message>;
@@ -30,15 +31,13 @@ const MessageEditor = observer(({ message, onCancel }: MessageEditorProps) => {
     onCancel();
   };
 
-
-
   const handleKeyDown = (e: KeyboardEvent<HTMLTextAreaElement>) => {
-    if (e.key === "Enter" && (e.metaKey || e.ctrlKey)) {
+    if (e.key === 'Enter' && (e.metaKey || e.ctrlKey)) {
       e.preventDefault();
       handleSave();
     }
 
-    if (e.key === "Escape") {
+    if (e.key === 'Escape') {
       e.preventDefault();
       handleCancel();
     }
@@ -48,14 +47,14 @@ const MessageEditor = observer(({ message, onCancel }: MessageEditorProps) => {
     <Box width="100%">
       <Textarea
         value={messageEditorStore.editedContent}
-        onChange={(e) => messageEditorStore.setEditedContent(e.target.value)}
+        onChange={e => messageEditorStore.setEditedContent(e.target.value)}
         onKeyDown={handleKeyDown}
         minHeight="100px"
         bg="transparent"
         border="1px solid"
         borderColor="whiteAlpha.300"
-        _hover={{ borderColor: "whiteAlpha.400" }}
-        _focus={{ borderColor: "brand.100", boxShadow: "none" }}
+        _hover={{ borderColor: 'whiteAlpha.400' }}
+        _focus={{ borderColor: 'brand.100', boxShadow: 'none' }}
         resize="vertical"
         color="text.primary"
       />
@@ -66,7 +65,7 @@ const MessageEditor = observer(({ message, onCancel }: MessageEditorProps) => {
           onClick={handleCancel}
           size="sm"
           variant="ghost"
-          color={"accent.danger"}
+          color={'accent.danger'}
         />
         <IconButton
           aria-label="Save edit"
@@ -74,7 +73,7 @@ const MessageEditor = observer(({ message, onCancel }: MessageEditorProps) => {
           onClick={handleSave}
           size="sm"
           variant="ghost"
-          color={"accent.confirm"}
+          color={'accent.confirm'}
         />
       </Flex>
     </Box>

packages/client/src/components/chat/messages/MessageMarkdown.tsx

@@ -1,5 +1,3 @@
-import React from "react";
-
 import {
   Box,
   Code,
@@ -17,13 +15,15 @@ import {
   Thead,
   Tr,
   useColorModeValue,
-} from "@chakra-ui/react";
-import { marked } from "marked";
-import CodeBlock from "../../code/CodeBlock";
-import ImageWithFallback from "../../markdown/ImageWithFallback";
-import markedKatex from "marked-katex-extension";
-import katex from "katex";
-import domPurify from "../lib/domPurify";
+} from '@chakra-ui/react';
+import katex from 'katex';
+import { marked } from 'marked';
+import markedKatex from 'marked-katex-extension';
+import React from 'react';
+
+import CodeBlock from '../../code/CodeBlock';
+import ImageWithFallback from '../../markdown/ImageWithFallback';
+import domPurify from '../lib/domPurify';
 
 try {
   if (localStorage) {
@@ -34,11 +34,13 @@ try {
         throwOnError: false,
         strict: true,
         colorIsTextColor: true,
-        errorColor: "red",
+        errorColor: 'red',
       }),
     );
   }
-} catch (_) {}
+} catch (_) {
+  // Silently ignore errors in marked setup - fallback to default behavior
+}
 
 const MemoizedCodeBlock = React.memo(CodeBlock);
 
@@ -49,32 +51,29 @@ const MemoizedCodeBlock = React.memo(CodeBlock);
 const getHeadingProps = (depth: number) => {
   switch (depth) {
     case 1:
-      return { as: "h1", size: "xl", mt: 4, mb: 2 };
+      return { as: 'h1', size: 'xl', mt: 4, mb: 2 };
     case 2:
-      return { as: "h2", size: "lg", mt: 3, mb: 2 };
+      return { as: 'h2', size: 'lg', mt: 3, mb: 2 };
     case 3:
-      return { as: "h3", size: "md", mt: 2, mb: 1 };
+      return { as: 'h3', size: 'md', mt: 2, mb: 1 };
     case 4:
-      return { as: "h4", size: "sm", mt: 2, mb: 1 };
+      return { as: 'h4', size: 'sm', mt: 2, mb: 1 };
     case 5:
-      return { as: "h5", size: "sm", mt: 2, mb: 1 };
+      return { as: 'h5', size: 'sm', mt: 2, mb: 1 };
     case 6:
-      return { as: "h6", size: "xs", mt: 2, mb: 1 };
+      return { as: 'h6', size: 'xs', mt: 2, mb: 1 };
     default:
-      return { as: `h${depth}`, size: "md", mt: 2, mb: 1 };
+      return { as: `h${depth}`, size: 'md', mt: 2, mb: 1 };
   }
 };
 
 interface TableToken extends marked.Tokens.Table {
-  align: Array<"center" | "left" | "right" | null>;
+  align: Array<'center' | 'left' | 'right' | null>;
   header: (string | marked.Tokens.TableCell)[];
   rows: (string | marked.Tokens.TableCell)[][];
 }
 
-const CustomHeading: React.FC<{ text: string; depth: number }> = ({
-  text,
-  depth,
-}) => {
+const CustomHeading: React.FC<{ text: string; depth: number }> = ({ text, depth }) => {
   const headingProps = getHeadingProps(depth);
   return (
     <Heading {...headingProps} wordBreak="break-word" maxWidth="100%">
@@ -83,9 +82,7 @@ const CustomHeading: React.FC<{ text: string; depth: number }> = ({
   );
 };
 
-const CustomParagraph: React.FC<{ children: React.ReactNode }> = ({
-  children,
-}) => {
+const CustomParagraph: React.FC<{ children: React.ReactNode }> = ({ children }) => {
   return (
     <Text
       as="p"
@@ -100,9 +97,7 @@ const CustomParagraph: React.FC<{ children: React.ReactNode }> = ({
   );
 };
 
-const CustomBlockquote: React.FC<{ children: React.ReactNode }> = ({
-  children,
-}) => {
+const CustomBlockquote: React.FC<{ children: React.ReactNode }> = ({ children }) => {
   return (
     <Box
       as="blockquote"
@@ -120,16 +115,9 @@ const CustomBlockquote: React.FC<{ children: React.ReactNode }> = ({
   );
 };
 
-const CustomCodeBlock: React.FC<{ code: string; language?: string }> = ({
-  code,
-  language,
-}) => {
+const CustomCodeBlock: React.FC<{ code: string; language?: string }> = ({ code, language }) => {
   return (
-    <MemoizedCodeBlock
-      language={language}
-      code={code}
-      onRenderComplete={() => Promise.resolve()}
-    />
+    <MemoizedCodeBlock language={language} code={code} onRenderComplete={() => Promise.resolve()} />
   );
 };
 
@@ -141,10 +129,10 @@ const CustomList: React.FC<{
   children: React.ReactNode;
 }> = ({ ordered, start, children }) => {
   const commonStyles = {
-    fontSize: "sm",
-    wordBreak: "break-word" as const,
-    maxWidth: "100%" as const,
-    stylePosition: "outside" as const,
+    fontSize: 'sm',
+    wordBreak: 'break-word' as const,
+    maxWidth: '100%' as const,
+    stylePosition: 'outside' as const,
     mb: 2,
     pl: 4,
   };
@@ -166,16 +154,13 @@ const CustomListItem: React.FC<{
   return <ListItem mb={1}>{children}</ListItem>;
 };
 
-const CustomKatex: React.FC<{ math: string; displayMode: boolean }> = ({
-  math,
-  displayMode,
-}) => {
+const CustomKatex: React.FC<{ math: string; displayMode: boolean }> = ({ math, displayMode }) => {
   const renderedMath = katex.renderToString(math, { displayMode });
 
   return (
     <Box
       as="span"
-      display={displayMode ? "block" : "inline"}
+      display={displayMode ? 'block' : 'inline'}
       p={displayMode ? 4 : 1}
       my={displayMode ? 4 : 0}
       borderRadius="md"
@@ -188,23 +173,17 @@ const CustomKatex: React.FC<{ math: string; displayMode: boolean }> = ({
 
 const CustomTable: React.FC<{
   header: React.ReactNode[];
-  align: Array<"center" | "left" | "right" | null>;
+  align: Array<'center' | 'left' | 'right' | null>;
   rows: React.ReactNode[][];
 }> = ({ header, align, rows }) => {
   return (
-    <Table
-      variant="simple"
-      size="sm"
-      my={4}
-      borderRadius="md"
-      overflow="hidden"
-    >
+    <Table variant="simple" size="sm" my={4} borderRadius="md" overflow="hidden">
       <Thead bg="background.secondary">
         <Tr>
           {header.map((cell, i) => (
             <Th
               key={i}
-              textAlign={align[i] || "left"}
+              textAlign={align[i] || 'left'}
               fontWeight="bold"
               p={2}
               minW={16}
@@ -219,12 +198,7 @@ const CustomTable: React.FC<{
         {rows.map((row, rIndex) => (
           <Tr key={rIndex}>
             {row.map((cell, cIndex) => (
-              <Td
-                key={cIndex}
-                textAlign={align[cIndex] || "left"}
-                p={2}
-                wordBreak="break-word"
-              >
+              <Td key={cIndex} textAlign={align[cIndex] || 'left'} p={2} wordBreak="break-word">
                 {cell}
               </Td>
             ))}
@@ -241,13 +215,7 @@ const CustomHtmlBlock: React.FC<{ content: string }> = ({ content }) => {
 
 const CustomText: React.FC<{ text: React.ReactNode }> = ({ text }) => {
   return (
-    <Text
-      fontSize="sm"
-      lineHeight="short"
-      wordBreak="break-word"
-      maxWidth="100%"
-      as="span"
-    >
+    <Text fontSize="sm" lineHeight="short" wordBreak="break-word" maxWidth="100%" as="span">
       {text}
     </Text>
   );
@@ -262,13 +230,7 @@ const CustomStrong: React.FC<CustomStrongProps> = ({ children }) => {
 
 const CustomEm: React.FC<{ children: React.ReactNode }> = ({ children }) => {
   return (
-    <Text
-      as="em"
-      fontStyle="italic"
-      lineHeight="short"
-      wordBreak="break-word"
-      display="inline"
-    >
+    <Text as="em" fontStyle="italic" lineHeight="short" wordBreak="break-word" display="inline">
       {children}
     </Text>
   );
@@ -289,7 +251,7 @@ const CustomDel: React.FC<{ text: string }> = ({ text }) => {
 };
 
 const CustomCodeSpan: React.FC<{ code: string }> = ({ code }) => {
-  const bg = useColorModeValue("gray.100", "gray.800");
+  const bg = useColorModeValue('gray.100', 'gray.800');
   return (
     <Code
       fontSize="sm"
@@ -312,13 +274,13 @@ const CustomMath: React.FC<{ math: string; displayMode?: boolean }> = ({
   return (
     <Box
       as="span"
-      display={displayMode ? "block" : "inline"}
+      display={displayMode ? 'block' : 'inline'}
       p={displayMode ? 4 : 1}
       my={displayMode ? 4 : 0}
       borderRadius="md"
       overflow="auto"
       maxWidth="100%"
-      className={`math ${displayMode ? "math-display" : "math-inline"}`}
+      className={`math ${displayMode ? 'math-display' : 'math-inline'}`}
     >
       {math}
     </Box>
@@ -336,8 +298,8 @@ const CustomLink: React.FC<{
       title={title}
       isExternal
       sx={{
-        "& span": {
-          color: "text.link",
+        '& span': {
+          color: 'text.link',
         },
       }}
       maxWidth="100%"
@@ -379,46 +341,34 @@ function parseTokens(tokens: marked.Token[]): JSX.Element[] {
 
   tokens.forEach((token, i) => {
     switch (token.type) {
-      case "heading":
-        output.push(
-          <CustomHeading key={i} text={token.text} depth={token.depth} />,
-        );
+      case 'heading':
+        output.push(<CustomHeading key={i} text={token.text} depth={token.depth} />);
         break;
 
-      case "paragraph": {
-        const parsedContent = token.tokens
-          ? parseTokens(token.tokens)
-          : token.text;
+      case 'paragraph': {
+        const parsedContent = token.tokens ? parseTokens(token.tokens) : token.text;
         if (blockquoteContent.length > 0) {
-          blockquoteContent.push(
-            <CustomParagraph key={i}>{parsedContent}</CustomParagraph>,
-          );
+          blockquoteContent.push(<CustomParagraph key={i}>{parsedContent}</CustomParagraph>);
         } else {
-          output.push(
-            <CustomParagraph key={i}>{parsedContent}</CustomParagraph>,
-          );
+          output.push(<CustomParagraph key={i}>{parsedContent}</CustomParagraph>);
         }
         break;
       }
-      case "br":
+      case 'br':
         output.push(<br key={i} />);
         break;
-      case "escape": {
+      case 'escape': {
         break;
       }
-      case "blockquote_start":
+      case 'blockquote_start':
         blockquoteContent = [];
         break;
 
-      case "blockquote_end":
-        output.push(
-          <CustomBlockquote key={i}>
-            {parseTokens(blockquoteContent)}
-          </CustomBlockquote>,
-        );
+      case 'blockquote_end':
+        output.push(<CustomBlockquote key={i}>{parseTokens(blockquoteContent)}</CustomBlockquote>);
         blockquoteContent = [];
         break;
-      case "blockquote": {
+      case 'blockquote': {
         output.push(
           <CustomBlockquote key={i}>
             {token.tokens ? parseTokens(token.tokens) : null}
@@ -426,44 +376,30 @@ function parseTokens(tokens: marked.Token[]): JSX.Element[] {
         );
         break;
       }
-      case "math":
-        output.push(
-          <CustomMath key={i} math={(token as any).value} displayMode={true} />,
-        );
+      case 'math':
+        output.push(<CustomMath key={i} math={(token as any).value} displayMode={true} />);
         break;
 
-      case "inlineMath":
-        output.push(
-          <CustomMath
-            key={i}
-            math={(token as any).value}
-            displayMode={false}
-          />,
-        );
+      case 'inlineMath':
+        output.push(<CustomMath key={i} math={(token as any).value} displayMode={false} />);
         break;
-      case "inlineKatex":
-      case "blockKatex": {
+      case 'inlineKatex':
+      case 'blockKatex': {
         const katexToken = token as any;
         output.push(
-          <CustomKatex
-            key={i}
-            math={katexToken.text}
-            displayMode={katexToken.displayMode}
-          />,
+          <CustomKatex key={i} math={katexToken.text} displayMode={katexToken.displayMode} />,
         );
         break;
       }
-      case "code":
-        output.push(
-          <CustomCodeBlock key={i} code={token.text} language={token.lang} />,
-        );
+      case 'code':
+        output.push(<CustomCodeBlock key={i} code={token.text} language={token.lang} />);
         break;
 
-      case "hr":
+      case 'hr':
         output.push(<CustomHr key={i} />);
         break;
 
-      case "list": {
+      case 'list': {
         const { ordered, start, items } = token;
         const listItems = items.map((listItem, idx) => {
           const nestedContent = parseTokens(listItem.tokens);
@@ -477,53 +413,43 @@ function parseTokens(tokens: marked.Token[]): JSX.Element[] {
         );
         break;
       }
-      case "table": {
+      case 'table': {
         const tableToken = token as TableToken;
 
         output.push(
           <CustomTable
             key={i}
-            header={tableToken.header.map((cell) =>
-              typeof cell === "string" ? cell : parseTokens(cell.tokens || []),
+            header={tableToken.header.map(cell =>
+              typeof cell === 'string' ? cell : parseTokens(cell.tokens || []),
             )}
             align={tableToken.align}
-            rows={tableToken.rows.map((row) =>
-              row.map((cell) =>
-                typeof cell === "string"
-                  ? cell
-                  : parseTokens(cell.tokens || []),
-              ),
+            rows={tableToken.rows.map(row =>
+              row.map(cell => (typeof cell === 'string' ? cell : parseTokens(cell.tokens || []))),
             )}
           />,
         );
         break;
       }
-      case "html":
+      case 'html':
         output.push(<CustomHtmlBlock key={i} content={token.text} />);
         break;
-      case "def":
-      case "space":
+      case 'def':
+      case 'space':
         break;
-      case "strong":
-        output.push(
-          <CustomStrong key={i}>
-            {parseTokens(token.tokens || [])}
-          </CustomStrong>,
-        );
+      case 'strong':
+        output.push(<CustomStrong key={i}>{parseTokens(token.tokens || [])}</CustomStrong>);
         break;
-      case "em":
+      case 'em':
         output.push(
-          <CustomEm key={i}>
-            {token.tokens ? parseTokens(token.tokens) : token.text}
-          </CustomEm>,
+          <CustomEm key={i}>{token.tokens ? parseTokens(token.tokens) : token.text}</CustomEm>,
         );
         break;
 
-      case "codespan":
+      case 'codespan':
         output.push(<CustomCodeSpan key={i} code={token.text} />);
         break;
 
-      case "link":
+      case 'link':
         output.push(
           <CustomLink key={i} href={token.href} title={token.title}>
             {token.tokens ? parseTokens(token.tokens) : token.text}
@@ -531,33 +457,24 @@ function parseTokens(tokens: marked.Token[]): JSX.Element[] {
         );
         break;
 
-      case "image":
+      case 'image':
         output.push(
-          <CustomImage
-            key={i}
-            href={token.href}
-            title={token.title}
-            text={token.text}
-          />,
+          <CustomImage key={i} href={token.href} title={token.title} text={token.text} />,
         );
         break;
 
-      case "text": {
-        const parsedContent = token.tokens
-          ? parseTokens(token.tokens)
-          : token.text;
+      case 'text': {
+        const parsedContent = token.tokens ? parseTokens(token.tokens) : token.text;
 
         if (blockquoteContent.length > 0) {
-          blockquoteContent.push(
-            <React.Fragment key={i}>{parsedContent}</React.Fragment>,
-          );
+          blockquoteContent.push(<React.Fragment key={i}>{parsedContent}</React.Fragment>);
         } else {
           output.push(<CustomText key={i} text={parsedContent} />);
         }
         break;
       }
       default:
-        console.warn("Unhandled token type:", token.type, token);
+        console.warn('Unhandled token type:', token.type, token);
     }
   });
 

packages/client/src/components/chat/messages/MessageMarkdownRenderer.tsx

@@ -1,13 +1,12 @@
-import React from "react";
-import {renderMessageMarkdown} from "./MessageMarkdown";
+import React from 'react';
+
+import { renderMessageMarkdown } from './MessageMarkdown';
 
 interface CustomMarkdownRendererProps {
   markdown: string;
 }
 
-const MessageMarkdownRenderer: React.FC<CustomMarkdownRendererProps> = ({
-  markdown,
-}) => {
+const MessageMarkdownRenderer: React.FC<CustomMarkdownRendererProps> = ({ markdown }) => {
   return <div>{renderMessageMarkdown(markdown)}</div>;
 };
 

packages/client/src/components/chat/messages/MotionBox.tsx

@@ -1,4 +1,4 @@
-import {motion} from "framer-motion";
-import {Box} from "@chakra-ui/react";
+import { Box } from '@chakra-ui/react';
+import { motion } from 'framer-motion';
 
-export default motion(Box);
+export default motion(Box);

packages/client/src/components/chat/messages/UserMessageTools.tsx

@@ -1,6 +1,6 @@
-import { observer } from "mobx-react-lite";
-import { IconButton } from "@chakra-ui/react";
-import { Edit2Icon } from "lucide-react";
+import { IconButton } from '@chakra-ui/react';
+import { Edit2Icon } from 'lucide-react';
+import { observer } from 'mobx-react-lite';
 
 const UserMessageTools = observer(({ disabled = false, message, onEdit }) => (
   <IconButton
@@ -8,26 +8,26 @@ const UserMessageTools = observer(({ disabled = false, message, onEdit }) => (
     color="text.primary"
     aria-label="Edit message"
     title="Edit message"
-    icon={<Edit2Icon size={"1em"} />}
+    icon={<Edit2Icon size={'1em'} />}
     onClick={() => onEdit(message)}
     _active={{
-      bg: "transparent",
+      bg: 'transparent',
       svg: {
-        stroke: "brand.100",
-        transition: "stroke 0.3s ease-in-out",
+        stroke: 'brand.100',
+        transition: 'stroke 0.3s ease-in-out',
       },
     }}
     _hover={{
-      bg: "transparent",
+      bg: 'transparent',
       svg: {
-        stroke: "accent.secondary",
-        transition: "stroke 0.3s ease-in-out",
+        stroke: 'accent.secondary',
+        transition: 'stroke 0.3s ease-in-out',
       },
     }}
     variant="ghost"
     size="sm"
     isDisabled={disabled}
-    _focus={{ boxShadow: "none" }}
+    _focus={{ boxShadow: 'none' }}
   />
 ));
 

packages/client/src/components/chat/messages/__tests__/MessageBubble.test.tsx

@@ -1,14 +1,15 @@
-import { describe, it, expect, vi, beforeEach } from 'vitest';
 import { render, screen, fireEvent, waitFor } from '@testing-library/react';
 import React from 'react';
+import { describe, it, expect, vi, beforeEach } from 'vitest';
+
+import messageEditorStore from '../../../../stores/MessageEditorStore';
 import MessageBubble from '../MessageBubble';
-import messageEditorStore from "../../../../stores/MessageEditorStore";
 
 // Mock browser APIs
 class MockResizeObserver {
-    observe() {}
-    unobserve() {}
-    disconnect() {}
+  observe() {}
+  unobserve() {}
+  disconnect() {}
 }
 
 // Add ResizeObserver to the global object
@@ -16,140 +17,140 @@ global.ResizeObserver = MockResizeObserver;
 
 // Mock the Message model
 vi.mock('../../../../models/Message', () => ({
-    default: {
-        // This is needed for the Instance<typeof Message> type
-    }
+  default: {
+    // This is needed for the Instance<typeof Message> type
+  },
 }));
 
 // Mock the stores
 vi.mock('../../../../stores/ClientChatStore', () => ({
-    default: {
-        items: [],
-        isLoading: false,
-        editMessage: vi.fn().mockReturnValue(true)
-    }
+  default: {
+    items: [],
+    isLoading: false,
+    editMessage: vi.fn().mockReturnValue(true),
+  },
 }));
 
 vi.mock('../../../../stores/UserOptionsStore', () => ({
-    default: {
-        followModeEnabled: false,
-        setFollowModeEnabled: vi.fn()
-    }
+  default: {
+    followModeEnabled: false,
+    setFollowModeEnabled: vi.fn(),
+  },
 }));
 
 // Mock the MessageEditorStore
 vi.mock('../../../../stores/MessageEditorStore', () => ({
-    default: {
-        editedContent: 'Test message',
-        setEditedContent: vi.fn(),
-        setMessage: vi.fn(),
-        onCancel: vi.fn(),
-        handleSave: vi.fn().mockImplementation(function() {
-            // Use the mocked messageEditorStore from the import
-            messageEditorStore.onCancel();
-            return Promise.resolve();
-        })
-    }
+  default: {
+    editedContent: 'Test message',
+    setEditedContent: vi.fn(),
+    setMessage: vi.fn(),
+    onCancel: vi.fn(),
+    handleSave: vi.fn().mockImplementation(function () {
+      // Use the mocked messageEditorStore from the import
+      messageEditorStore.onCancel();
+      return Promise.resolve();
+    }),
+  },
 }));
 
 // Mock the MessageRenderer component
 vi.mock('../ChatMessageContent', () => ({
-    default: ({ content }) => <div data-testid="message-content">{content}</div>
+  default: ({ content }) => <div data-testid="message-content">{content}</div>,
 }));
 
 // Mock the UserMessageTools component
 vi.mock('../UserMessageTools', () => ({
-    default: ({ message, onEdit }) => (
-        <button data-testid="edit-button" onClick={() => onEdit(message)}>
-            Edit
-        </button>
-    )
+  default: ({ message, onEdit }) => (
+    <button data-testid="edit-button" onClick={() => onEdit(message)}>
+      Edit
+    </button>
+  ),
 }));
 
-vi.mock("../MotionBox", async (importOriginal) => {
-    const actual = await importOriginal()
+vi.mock('../MotionBox', async importOriginal => {
+  const actual = await importOriginal();
 
-    return { default: {
-            ...actual.default,
-            div: (props: any) => React.createElement('div', props, props.children),
-            motion: (props: any) => React.createElement('div', props, props.children),
-
-        }
-    }
+  return {
+    default: {
+      ...actual.default,
+      div: (props: any) => React.createElement('div', props, props.children),
+      motion: (props: any) => React.createElement('div', props, props.children),
+    },
+  };
 });
 
 describe('MessageBubble', () => {
-    const mockScrollRef = { current: { scrollTo: vi.fn() } };
-    const mockUserMessage = {
-        role: 'user',
-        content: 'Test message'
-    };
-    const mockAssistantMessage = {
-        role: 'assistant',
-        content: 'Assistant response'
-    };
+  const mockScrollRef = { current: { scrollTo: vi.fn() } };
+  const mockUserMessage = {
+    role: 'user',
+    content: 'Test message',
+  };
+  const mockAssistantMessage = {
+    role: 'assistant',
+    content: 'Assistant response',
+  };
 
-    beforeEach(() => {
-        vi.clearAllMocks();
+  beforeEach(() => {
+    vi.clearAllMocks();
+  });
+
+  it('should render user message correctly', () => {
+    render(<MessageBubble msg={mockUserMessage} scrollRef={mockScrollRef} />);
+
+    expect(screen.getByText('You')).toBeInTheDocument();
+    expect(screen.getByText('Test message')).toBeInTheDocument();
+  });
+
+  it('should render assistant message correctly', () => {
+    render(<MessageBubble msg={mockAssistantMessage} scrollRef={mockScrollRef} />);
+
+    expect(screen.getByText('open-gsio')).toBeInTheDocument();
+    expect(screen.getByTestId('message-content')).toHaveTextContent('Assistant response');
+  });
+
+  it('should show edit button on hover for user messages', async () => {
+    render(<MessageBubble msg={mockUserMessage} scrollRef={mockScrollRef} />);
+
+    // Simulate hover
+    fireEvent.mouseEnter(screen.getByRole('listitem'));
+
+    expect(screen.getByTestId('edit-button')).toBeInTheDocument();
+  });
+
+  it('should show editor when edit button is clicked', () => {
+    render(<MessageBubble msg={mockUserMessage} scrollRef={mockScrollRef} />);
+
+    // Simulate hover and click edit
+    fireEvent.mouseEnter(screen.getByRole('listitem'));
+    fireEvent.click(screen.getByTestId('edit-button'));
+
+    // Check if the textarea is rendered (part of MessageEditor)
+    expect(screen.getByRole('textbox')).toBeInTheDocument();
+  });
+
+  it('should hide editor after message is edited and saved', async () => {
+    render(<MessageBubble msg={mockUserMessage} scrollRef={mockScrollRef} />);
+
+    // Show the editor
+    fireEvent.mouseEnter(screen.getByRole('listitem'));
+    fireEvent.click(screen.getByTestId('edit-button'));
+
+    // Verify editor is shown
+    expect(screen.getByRole('textbox')).toBeInTheDocument();
+
+    // Find and click the save button
+    const saveButton = screen.getByLabelText('Save edit');
+    fireEvent.click(saveButton);
+
+    // Wait for the editor to disappear
+    await waitFor(() => {
+      // Check that the editor is no longer visible
+      expect(screen.queryByRole('textbox')).not.toBeInTheDocument();
+      // And the message content is visible again
+      expect(screen.getByText('Test message')).toBeInTheDocument();
     });
 
-    it('should render user message correctly', () => {
-        render(<MessageBubble msg={mockUserMessage} scrollRef={mockScrollRef} />);
-
-        expect(screen.getByText('You')).toBeInTheDocument();
-        expect(screen.getByText('Test message')).toBeInTheDocument();
-    });
-
-    it('should render assistant message correctly', () => {
-        render(<MessageBubble msg={mockAssistantMessage} scrollRef={mockScrollRef} />);
-
-        expect(screen.getByText("Geoff's AI")).toBeInTheDocument();
-        expect(screen.getByTestId('message-content')).toHaveTextContent('Assistant response');
-    });
-
-    it('should show edit button on hover for user messages', async () => {
-        render(<MessageBubble msg={mockUserMessage} scrollRef={mockScrollRef} />);
-
-        // Simulate hover
-        fireEvent.mouseEnter(screen.getByRole('listitem'));
-
-        expect(screen.getByTestId('edit-button')).toBeInTheDocument();
-    });
-
-    it('should show editor when edit button is clicked', () => {
-        render(<MessageBubble msg={mockUserMessage} scrollRef={mockScrollRef} />);
-
-        // Simulate hover and click edit
-        fireEvent.mouseEnter(screen.getByRole('listitem'));
-        fireEvent.click(screen.getByTestId('edit-button'));
-
-        // Check if the textarea is rendered (part of MessageEditor)
-        expect(screen.getByRole('textbox')).toBeInTheDocument();
-    });
-
-    it('should hide editor after message is edited and saved', async () => {
-        render(<MessageBubble msg={mockUserMessage} scrollRef={mockScrollRef} />);
-
-        // Show the editor
-        fireEvent.mouseEnter(screen.getByRole('listitem'));
-        fireEvent.click(screen.getByTestId('edit-button'));
-
-        // Verify editor is shown
-        expect(screen.getByRole('textbox')).toBeInTheDocument();
-
-        // Find and click the save button
-        const saveButton = screen.getByLabelText('Save edit');
-        fireEvent.click(saveButton);
-
-        // Wait for the editor to disappear
-        await waitFor(() => {
-            // Check that the editor is no longer visible
-            expect(screen.queryByRole('textbox')).not.toBeInTheDocument();
-            // And the message content is visible again
-            expect(screen.getByText('Test message')).toBeInTheDocument();
-        });
-
-        // Verify that handleSave was called
-        expect(messageEditorStore.handleSave).toHaveBeenCalled();
-    });
+    // Verify that handleSave was called
+    expect(messageEditorStore.handleSave).toHaveBeenCalled();
+  });
 });

packages/client/src/components/chat/messages/__tests__/MessageEditorComponent.test.tsx

@@ -1,27 +1,27 @@
-import { describe, it, expect, vi, beforeEach } from 'vitest';
 import { render, screen, fireEvent } from '@testing-library/react';
 import React from 'react';
-import MessageEditor from '../MessageEditorComponent';
+import { describe, it, expect, vi, beforeEach } from 'vitest';
 
 // Import the mocked stores
 import clientChatStore from '../../../../stores/ClientChatStore';
 import messageEditorStore from '../../../../stores/MessageEditorStore';
+import MessageEditor from '../MessageEditorComponent';
 
 // Mock the Message model
 vi.mock('../../../../models/Message', () => {
   return {
     default: {
       // This is needed for the Instance<typeof Message> type
-    }
+    },
   };
 });
 
 // Mock fetch globally
 globalThis.fetch = vi.fn(() =>
-    Promise.resolve({
-      ok: true,
-      json: () => Promise.resolve({})
-    })
+  Promise.resolve({
+    ok: true,
+    json: () => Promise.resolve({}),
+  }),
 );
 
 // Mock the ClientChatStore
@@ -31,14 +31,14 @@ vi.mock('../../../../stores/ClientChatStore', () => {
     removeAfter: vi.fn(),
     sendMessage: vi.fn(),
     setIsLoading: vi.fn(),
-    editMessage: vi.fn().mockReturnValue(true)
+    editMessage: vi.fn().mockReturnValue(true),
   };
 
   // Add the mockUserMessage to the items array
   mockStore.items.indexOf = vi.fn().mockReturnValue(0);
 
   return {
-    default: mockStore
+    default: mockStore,
   };
 });
 
@@ -48,25 +48,25 @@ vi.mock('../../../../stores/MessageEditorStore', () => {
     editedContent: 'Test message', // Set initial value to match the test expectation
     message: null,
     setEditedContent: vi.fn(),
-    setMessage: vi.fn((message) => {
+    setMessage: vi.fn(message => {
       mockStore.message = message;
       mockStore.editedContent = message.content;
     }),
     onCancel: vi.fn(),
-    handleSave: vi.fn()
+    handleSave: vi.fn(),
   };
 
   return {
-    default: mockStore
+    default: mockStore,
   };
 });
 
 describe('MessageEditor', () => {
   // Create a message object with a setContent method
-  const mockUserMessage = { 
-    content: 'Test message', 
+  const mockUserMessage = {
+    content: 'Test message',
     role: 'user',
-    setContent: vi.fn()
+    setContent: vi.fn(),
   };
   const mockOnCancel = vi.fn();
 
@@ -93,7 +93,7 @@ describe('MessageEditor', () => {
   });
 
   it('should call handleSave when save button is clicked', () => {
-    render(<MessageEditor message={mockUserMessage} onCancel={mockOnCancel}/>);
+    render(<MessageEditor message={mockUserMessage} onCancel={mockOnCancel} />);
 
     const saveButton = screen.getByLabelText('Save edit');
     fireEvent.click(saveButton);

packages/client/src/components/code/CodeBlock.tsx

@@ -1,5 +1,6 @@
-import React, { useState, useEffect, useCallback, useMemo } from "react";
-import { buildCodeHighlighter } from "./CodeHighlighter";
+import React, { useState, useEffect, useCallback } from 'react';
+
+import { buildCodeHighlighter } from './CodeHighlighter';
 
 interface CodeBlockProps {
   language: string;
@@ -9,23 +10,19 @@ interface CodeBlockProps {
 
 const highlighter = buildCodeHighlighter();
 
-const CodeBlock: React.FC<CodeBlockProps> = ({
-  language,
-  code,
-  onRenderComplete,
-}) => {
-  const [html, setHtml] = useState<string>("");
+const CodeBlock: React.FC<CodeBlockProps> = ({ language, code, onRenderComplete }) => {
+  const [html, setHtml] = useState<string>('');
   const [loading, setLoading] = useState<boolean>(true);
 
   const highlightCode = useCallback(async () => {
     try {
       const highlighted = (await highlighter).codeToHtml(code, {
         lang: language,
-        theme: "github-dark",
+        theme: 'github-dark',
       });
       setHtml(highlighted);
     } catch (error) {
-      console.error("Error highlighting code:", error);
+      console.error('Error highlighting code:', error);
       setHtml(`<pre>${code}</pre>`);
     } finally {
       setLoading(false);
@@ -41,9 +38,9 @@ const CodeBlock: React.FC<CodeBlockProps> = ({
     return (
       <div
         style={{
-          backgroundColor: "#24292e",
-          padding: "10px",
-          borderRadius: "1.5em",
+          backgroundColor: '#24292e',
+          padding: '10px',
+          borderRadius: '1.5em',
         }}
       >
         Loading code...
@@ -55,12 +52,12 @@ const CodeBlock: React.FC<CodeBlockProps> = ({
     <div
       dangerouslySetInnerHTML={{ __html: html }}
       style={{
-        transition: "none",
+        transition: 'none',
         padding: 20,
-        backgroundColor: "#24292e",
-        overflowX: "auto",
-        borderRadius: ".37em",
-        fontSize: ".75rem",
+        backgroundColor: '#24292e',
+        overflowX: 'auto',
+        borderRadius: '.37em',
+        fontSize: '.75rem',
       }}
     />
   );

packages/client/src/components/code/CodeHighlighter.ts

@@ -1,5 +1,6 @@
-import { createHighlighterCore } from "shiki";
+import { createHighlighterCore } from 'shiki';
 
+/* eslint-disable import/no-unresolved */
 export async function buildCodeHighlighter() {
   const [
     githubDark,
@@ -23,26 +24,26 @@ export async function buildCodeHighlighter() {
     zig,
     wasm,
   ] = await Promise.all([
-    import("shiki/themes/github-dark.mjs"),
-    import("shiki/langs/html.mjs"),
-    import("shiki/langs/javascript.mjs"),
-    import("shiki/langs/jsx.mjs"),
-    import("shiki/langs/typescript.mjs"),
-    import("shiki/langs/tsx.mjs"),
-    import("shiki/langs/go.mjs"),
-    import("shiki/langs/rust.mjs"),
-    import("shiki/langs/python.mjs"),
-    import("shiki/langs/java.mjs"),
-    import("shiki/langs/kotlin.mjs"),
-    import("shiki/langs/shell.mjs"),
-    import("shiki/langs/sql.mjs"),
-    import("shiki/langs/yaml.mjs"),
-    import("shiki/langs/toml.mjs"),
-    import("shiki/langs/markdown.mjs"),
-    import("shiki/langs/json.mjs"),
-    import("shiki/langs/xml.mjs"),
-    import("shiki/langs/zig.mjs"),
-    import("shiki/wasm"),
+    import('shiki/themes/github-dark.mjs'),
+    import('shiki/langs/html.mjs'),
+    import('shiki/langs/javascript.mjs'),
+    import('shiki/langs/jsx.mjs'),
+    import('shiki/langs/typescript.mjs'),
+    import('shiki/langs/tsx.mjs'),
+    import('shiki/langs/go.mjs'),
+    import('shiki/langs/rust.mjs'),
+    import('shiki/langs/python.mjs'),
+    import('shiki/langs/java.mjs'),
+    import('shiki/langs/kotlin.mjs'),
+    import('shiki/langs/shell.mjs'),
+    import('shiki/langs/sql.mjs'),
+    import('shiki/langs/yaml.mjs'),
+    import('shiki/langs/toml.mjs'),
+    import('shiki/langs/markdown.mjs'),
+    import('shiki/langs/json.mjs'),
+    import('shiki/langs/xml.mjs'),
+    import('shiki/langs/zig.mjs'),
+    import('shiki/wasm'),
   ]);
 
   // Create the highlighter instance with the loaded themes and languages