chore: release version 0.0.6

* feat: add context annotation types and enhance file handling in LLM processing

* feat: enhance context handling by adding chatId to annotations and implementing summary generation

* removed useless changes

* feat: updated token counts to include optimization requests

* prompt fix

* logging added

* useless logs removed

.env.example

@@ -32,7 +32,8 @@ OPEN_ROUTER_API_KEY=
 GOOGLE_GENERATIVE_AI_API_KEY=
 
 # You only need this environment variable set if you want to use oLLAMA models
-# EXAMPLE http://localhost:11434
+# DONT USE http://localhost:11434 due to IPV6 issues
+# USE EXAMPLE http://127.0.0.1:11434
 OLLAMA_API_BASE_URL=
 
 # You only need this environment variable set if you want to use OpenAI Like models
@@ -50,6 +51,12 @@ OPENAI_LIKE_API_KEY=
 # Get your Together API Key
 TOGETHER_API_KEY=
 
+# You only need this environment variable set if you want to use Hyperbolic models
+#Get your Hyperbolics API Key at https://app.hyperbolic.xyz/settings
+#baseURL="https://api.hyperbolic.xyz/v1/chat/completions"
+HYPERBOLIC_API_KEY=
+HYPERBOLIC_API_BASE_URL= 
+
 # Get your Mistral API Key by following these instructions -
 # https://console.mistral.ai/api-keys/
 # You only need this environment variable set if you want to use Mistral models
@@ -62,7 +69,8 @@ COHERE_API_KEY=
 
 # Get LMStudio Base URL from LM Studio Developer Console
 # Make sure to enable CORS
-# Example: http://localhost:1234
+# DONT USE http://localhost:1234 due to IPV6 issues
+# Example: http://127.0.0.1:1234
 LMSTUDIO_API_BASE_URL=
 
 # Get your xAI API key
@@ -75,6 +83,17 @@ XAI_API_KEY=
 # You only need this environment variable set if you want to use Perplexity models
 PERPLEXITY_API_KEY=
 
+# Get your AWS configuration
+# https://console.aws.amazon.com/iam/home
+# The JSON should include the following keys:
+#   - region: The AWS region where Bedrock is available.
+#   - accessKeyId: Your AWS access key ID.
+#   - secretAccessKey: Your AWS secret access key.
+#   - sessionToken (optional): Temporary session token if using an IAM role or temporary credentials.
+# Example JSON:
+# {"region": "us-east-1", "accessKeyId": "yourAccessKeyId", "secretAccessKey": "yourSecretAccessKey", "sessionToken": "yourSessionToken"}
+AWS_BEDROCK_CONFIG=
+
 # Include this environment variable if you want more logging for debugging locally
 VITE_LOG_LEVEL=debug
 

.github/ISSUE_TEMPLATE/bug_report.yml

@@ -6,8 +6,8 @@ body:
       value: |
         Thank you for reporting an issue :pray:.
 
-        This issue tracker is for bugs and issues found with [Bolt.new](https://bolt.new).
+        This issue tracker is for bugs and issues found with [Bolt.diy](https://bolt.diy).
-        If you experience issues related to WebContainer, please file an issue in our [WebContainer repo](https://github.com/stackblitz/webcontainer-core), or file an issue in our [StackBlitz core repo](https://github.com/stackblitz/core) for issues with StackBlitz.
+        If you experience issues related to WebContainer, please file an issue in the official [StackBlitz WebContainer repo](https://github.com/stackblitz/webcontainer-core).
 
         The more information you fill in, the better we can help you.
   - type: textarea

.github/ISSUE_TEMPLATE/epic.md

@@ -0,0 +1,23 @@
+---
+name: Epic
+about: Epics define long-term vision and capabilities of the software. They will never be finished but serve as umbrella for features.
+title: ''
+labels:
+  - epic
+assignees: ''
+---
+
+# Strategic Impact
+
+<!-- Why does this area matter? How is it integrated into the product or the development process? What would happen if we ignore it? -->
+
+# Target Audience
+
+<!-- Who benefits most from improvements in this area?
+
+Usual values: Software Developers using the IDE | Contributors -->
+
+# Capabilities
+
+<!-- which existing capabilities or future features can be imagined that belong to this epic? This list serves as illustration to sketch the boundaries of this epic. 
+Once features are actually being planned / described in detail, they can be linked here. -->

.github/ISSUE_TEMPLATE/feature.md

@@ -0,0 +1,28 @@
+---
+name: Feature
+about: A pretty vague description of how a capability of our software can be added or improved.
+title: ''
+labels:
+  - feature
+assignees: ''
+---
+
+# Motivation
+
+<!-- What capability should be either established or improved? How is life of the target audience better after it's been done? -->
+
+# Scope
+
+<!-- This is kind-of the definition-of-done for a feature. 
+Try to keep the scope as small as possible and prefer creating multiple, small features which each solve a single problem / make something better
+-->
+
+# Options
+ 
+<!-- If you already have an idea how this can be implemented, please describe it here. 
+This allows potential other contributors to join forces and provide meaningful feedback prio to even starting work on it.
+-->
+
+# Related
+
+<!-- Link to the epic or other issues or PRs which are related to this feature. -->

.github/scripts/generate-changelog.sh

@@ -0,0 +1,261 @@
+#!/usr/bin/env bash
+
+# Ensure we're running in bash
+if [ -z "$BASH_VERSION" ]; then
+    echo "This script requires bash. Please run with: bash $0" >&2
+    exit 1
+fi
+
+# Ensure we're using bash 4.0 or later for associative arrays
+if ((BASH_VERSINFO[0] < 4)); then
+    echo "This script requires bash version 4 or later" >&2
+    echo "Current bash version: $BASH_VERSION" >&2
+    exit 1
+fi
+
+# Set default values for required environment variables if not in GitHub Actions
+if [ -z "$GITHUB_ACTIONS" ]; then
+    : "${GITHUB_SERVER_URL:=https://github.com}"
+    : "${GITHUB_REPOSITORY:=stackblitz-labs/bolt.diy}"
+    : "${GITHUB_OUTPUT:=/tmp/github_output}"
+    touch "$GITHUB_OUTPUT"
+
+    # Running locally
+    echo "Running locally - checking for upstream remote..."
+    MAIN_REMOTE="origin"
+    if git remote -v | grep -q "upstream"; then
+        MAIN_REMOTE="upstream"
+    fi
+    MAIN_BRANCH="main"  # or "master" depending on your repository
+    
+    # Ensure we have latest tags
+    git fetch ${MAIN_REMOTE} --tags
+    
+    # Use the remote reference for git log
+    GITLOG_REF="${MAIN_REMOTE}/${MAIN_BRANCH}"
+else
+    # Running in GitHub Actions
+    GITLOG_REF="HEAD"
+fi
+
+# Get the latest tag
+LATEST_TAG=$(git describe --tags --abbrev=0 2>/dev/null || echo "")
+
+# Start changelog file
+echo "# 🚀 Release v${NEW_VERSION}" > changelog.md
+echo "" >> changelog.md
+echo "## What's Changed 🌟" >> changelog.md
+echo "" >> changelog.md
+
+if [ -z "$LATEST_TAG" ]; then
+    echo "### 🎉 First Release" >> changelog.md
+    echo "" >> changelog.md
+    echo "Exciting times! This marks our first release. Thanks to everyone who contributed! 🙌" >> changelog.md
+    echo "" >> changelog.md
+    COMPARE_BASE="$(git rev-list --max-parents=0 HEAD)"
+else
+    echo "### 🔄 Changes since $LATEST_TAG" >> changelog.md
+    echo "" >> changelog.md
+    COMPARE_BASE="$LATEST_TAG"
+fi
+
+# Function to extract conventional commit type and associated emoji
+get_commit_type() {
+    local msg="$1"
+    if [[ $msg =~ ^feat(\(.+\))?:|^feature(\(.+\))?: ]]; then echo "✨ Features"
+    elif [[ $msg =~ ^fix(\(.+\))?: ]]; then echo "🐛 Bug Fixes"
+    elif [[ $msg =~ ^docs(\(.+\))?: ]]; then echo "📚 Documentation"
+    elif [[ $msg =~ ^style(\(.+\))?: ]]; then echo "💎 Styles"
+    elif [[ $msg =~ ^refactor(\(.+\))?: ]]; then echo "♻️ Code Refactoring"
+    elif [[ $msg =~ ^perf(\(.+\))?: ]]; then echo "⚡ Performance Improvements"
+    elif [[ $msg =~ ^test(\(.+\))?: ]]; then echo "🧪 Tests"
+    elif [[ $msg =~ ^build(\(.+\))?: ]]; then echo "🛠️ Build System"
+    elif [[ $msg =~ ^ci(\(.+\))?: ]]; then echo "⚙️ CI"
+    elif [[ $msg =~ ^chore(\(.+\))?: ]]; then echo ""  # Skip chore commits
+    else echo "🔍 Other Changes"  # Default category with emoji
+    fi
+}
+
+# Initialize associative arrays
+declare -A CATEGORIES
+declare -A COMMITS_BY_CATEGORY
+declare -A ALL_AUTHORS
+declare -A NEW_CONTRIBUTORS
+
+# Get all historical authors before the compare base
+while IFS= read -r author; do
+    ALL_AUTHORS["$author"]=1
+done < <(git log "${COMPARE_BASE}" --pretty=format:"%ae" | sort -u)
+
+# Process all commits since last tag
+while IFS= read -r commit_line; do
+    if [[ ! $commit_line =~ ^[a-f0-9]+\| ]]; then
+        echo "WARNING: Skipping invalid commit line format: $commit_line" >&2
+        continue
+    fi
+    
+    HASH=$(echo "$commit_line" | cut -d'|' -f1)
+    COMMIT_MSG=$(echo "$commit_line" | cut -d'|' -f2)
+    BODY=$(echo "$commit_line" | cut -d'|' -f3)
+    # Skip if hash doesn't match the expected format
+    if [[ ! $HASH =~ ^[a-f0-9]{40}$ ]]; then
+        continue
+    fi
+
+    HASH=$(echo "$commit_line" | cut -d'|' -f1)
+    COMMIT_MSG=$(echo "$commit_line" | cut -d'|' -f2)
+    BODY=$(echo "$commit_line" | cut -d'|' -f3)
+
+    
+    # Validate hash format
+    if [[ ! $HASH =~ ^[a-f0-9]{40}$ ]]; then
+        echo "WARNING: Invalid commit hash format: $HASH" >&2
+        continue
+    fi
+    
+    # Check if it's a merge commit
+    if [[ $COMMIT_MSG =~ Merge\ pull\ request\ #([0-9]+) ]]; then
+        # echo "Processing as merge commit" >&2
+        PR_NUM="${BASH_REMATCH[1]}"
+        
+        # Extract the PR title from the merge commit body
+        PR_TITLE=$(echo "$BODY" | grep -v "^Merge pull request" | head -n 1)
+        
+        # Only process if it follows conventional commit format
+        CATEGORY=$(get_commit_type "$PR_TITLE")
+        
+        if [ -n "$CATEGORY" ]; then  # Only process if it's a conventional commit
+            # Get PR author's GitHub username
+            GITHUB_USERNAME=$(gh pr view "$PR_NUM" --json author --jq '.author.login')
+            
+            if [ -n "$GITHUB_USERNAME" ]; then
+                # Check if this is a first-time contributor
+                AUTHOR_EMAIL=$(git show -s --format='%ae' "$HASH")
+                if [ -z "${ALL_AUTHORS[$AUTHOR_EMAIL]}" ]; then
+                    NEW_CONTRIBUTORS["$GITHUB_USERNAME"]=1
+                    ALL_AUTHORS["$AUTHOR_EMAIL"]=1
+                fi
+
+                CATEGORIES["$CATEGORY"]=1
+                COMMITS_BY_CATEGORY["$CATEGORY"]+="* ${PR_TITLE#*: } ([#$PR_NUM](${GITHUB_SERVER_URL}/${GITHUB_REPOSITORY}/pull/$PR_NUM)) by @$GITHUB_USERNAME"$'\n'
+            else
+                COMMITS_BY_CATEGORY["$CATEGORY"]+="* ${PR_TITLE#*: } ([#$PR_NUM](${GITHUB_SERVER_URL}/${GITHUB_REPOSITORY}/pull/$PR_NUM))"$'\n'
+            fi
+        fi
+    # Check if it's a squash merge by looking for (#NUMBER) pattern
+    elif [[ $COMMIT_MSG =~ \(#([0-9]+)\) ]]; then
+        # echo "Processing as squash commit" >&2
+        PR_NUM="${BASH_REMATCH[1]}"
+        
+        # Only process if it follows conventional commit format
+        CATEGORY=$(get_commit_type "$COMMIT_MSG")
+        
+        if [ -n "$CATEGORY" ]; then  # Only process if it's a conventional commit
+            # Get PR author's GitHub username
+            GITHUB_USERNAME=$(gh pr view "$PR_NUM" --json author --jq '.author.login')
+            
+            if [ -n "$GITHUB_USERNAME" ]; then
+                # Check if this is a first-time contributor
+                AUTHOR_EMAIL=$(git show -s --format='%ae' "$HASH")
+                if [ -z "${ALL_AUTHORS[$AUTHOR_EMAIL]}" ]; then
+                    NEW_CONTRIBUTORS["$GITHUB_USERNAME"]=1
+                    ALL_AUTHORS["$AUTHOR_EMAIL"]=1
+                fi
+
+                CATEGORIES["$CATEGORY"]=1
+                COMMIT_TITLE=${COMMIT_MSG%% (#*}  # Remove the PR number suffix
+                COMMIT_TITLE=${COMMIT_TITLE#*: }  # Remove the type prefix
+                COMMITS_BY_CATEGORY["$CATEGORY"]+="* $COMMIT_TITLE ([#$PR_NUM](${GITHUB_SERVER_URL}/${GITHUB_REPOSITORY}/pull/$PR_NUM)) by @$GITHUB_USERNAME"$'\n'
+            else
+                COMMIT_TITLE=${COMMIT_MSG%% (#*}  # Remove the PR number suffix
+                COMMIT_TITLE=${COMMIT_TITLE#*: }  # Remove the type prefix
+                COMMITS_BY_CATEGORY["$CATEGORY"]+="* $COMMIT_TITLE ([#$PR_NUM](${GITHUB_SERVER_URL}/${GITHUB_REPOSITORY}/pull/$PR_NUM))"$'\n'
+            fi
+        fi
+    
+    else 
+        # echo "Processing as regular commit" >&2
+        # Process conventional commits without PR numbers
+        CATEGORY=$(get_commit_type "$COMMIT_MSG")
+        
+        if [ -n "$CATEGORY" ]; then  # Only process if it's a conventional commit
+            # Get commit author info
+            AUTHOR_EMAIL=$(git show -s --format='%ae' "$HASH")
+            
+            # Try to get GitHub username using gh api
+            if [ -n "$GITHUB_ACTIONS" ] || command -v gh >/dev/null 2>&1; then
+                GITHUB_USERNAME=$(gh api "/repos/${GITHUB_REPOSITORY}/commits/${HASH}" --jq '.author.login' 2>/dev/null)
+            fi
+            
+            if [ -n "$GITHUB_USERNAME" ]; then
+                # If we got GitHub username, use it
+                if [ -z "${ALL_AUTHORS[$AUTHOR_EMAIL]}" ]; then
+                    NEW_CONTRIBUTORS["$GITHUB_USERNAME"]=1
+                    ALL_AUTHORS["$AUTHOR_EMAIL"]=1
+                fi
+
+                CATEGORIES["$CATEGORY"]=1
+                COMMIT_TITLE=${COMMIT_MSG#*: }  # Remove the type prefix
+                COMMITS_BY_CATEGORY["$CATEGORY"]+="* $COMMIT_TITLE (${HASH:0:7}) by @$GITHUB_USERNAME"$'\n'
+            else
+                # Fallback to git author name if no GitHub username found
+                AUTHOR_NAME=$(git show -s --format='%an' "$HASH")
+                
+                if [ -z "${ALL_AUTHORS[$AUTHOR_EMAIL]}" ]; then
+                    NEW_CONTRIBUTORS["$AUTHOR_NAME"]=1
+                    ALL_AUTHORS["$AUTHOR_EMAIL"]=1
+                fi
+
+                CATEGORIES["$CATEGORY"]=1
+                COMMIT_TITLE=${COMMIT_MSG#*: }  # Remove the type prefix
+                COMMITS_BY_CATEGORY["$CATEGORY"]+="* $COMMIT_TITLE (${HASH:0:7}) by $AUTHOR_NAME"$'\n'
+            fi
+        fi
+    fi
+    
+done < <(git log "${COMPARE_BASE}..${GITLOG_REF}" --pretty=format:"%H|%s|%b" --reverse --first-parent)
+
+# Write categorized commits to changelog with their emojis
+for category in "✨ Features" "🐛 Bug Fixes" "📚 Documentation" "💎 Styles" "♻️ Code Refactoring" "⚡ Performance Improvements" "🧪 Tests" "🛠️ Build System" "⚙️ CI" "🔍 Other Changes"; do
+    if [ -n "${COMMITS_BY_CATEGORY[$category]}" ]; then
+        echo "### $category" >> changelog.md
+        echo "" >> changelog.md
+        echo "${COMMITS_BY_CATEGORY[$category]}" >> changelog.md
+        echo "" >> changelog.md
+    fi
+done
+
+# Add first-time contributors section if there are any
+if [ ${#NEW_CONTRIBUTORS[@]} -gt 0 ]; then
+    echo "## ✨ First-time Contributors" >> changelog.md
+    echo "" >> changelog.md
+    echo "A huge thank you to our amazing new contributors! Your first contribution marks the start of an exciting journey! 🌟" >> changelog.md
+    echo "" >> changelog.md
+    # Use readarray to sort the keys
+    readarray -t sorted_contributors < <(printf '%s\n' "${!NEW_CONTRIBUTORS[@]}" | sort)
+    for github_username in "${sorted_contributors[@]}"; do
+        echo "* 🌟 [@$github_username](https://github.com/$github_username)" >> changelog.md
+    done
+    echo "" >> changelog.md
+fi
+
+# Add compare link if not first release
+if [ -n "$LATEST_TAG" ]; then
+    echo "## 📈 Stats" >> changelog.md
+    echo "" >> changelog.md
+    echo "**Full Changelog**: [\`$LATEST_TAG..v${NEW_VERSION}\`](${GITHUB_SERVER_URL}/${GITHUB_REPOSITORY}/compare/$LATEST_TAG...v${NEW_VERSION})" >> changelog.md
+fi
+
+# Output the changelog content
+CHANGELOG_CONTENT=$(cat changelog.md)
+{
+    echo "content<<EOF"
+    echo "$CHANGELOG_CONTENT"
+    echo "EOF"
+} >> "$GITHUB_OUTPUT"
+
+# Also print to stdout for local testing
+echo "Generated changelog:"
+echo "==================="
+cat changelog.md
+echo "==================="

.github/workflows/commit.yaml

@@ -1,39 +0,0 @@
-name: Update Commit Hash File
-
-on:
-  push:
-    branches:
-      - main
-
-permissions:
-  contents: write
-
-jobs:
-  update-commit:
-    if: contains(github.event.head_commit.message, '#release') != true
-    runs-on: ubuntu-latest
-
-    steps:
-    - name: Checkout the code
-      uses: actions/checkout@v3
-      
-    - name: Setup Node.js
-      uses: actions/setup-node@v4
-      with:
-        node-version: '20'
-    - name: Get the latest commit hash
-      run: |
-        echo "COMMIT_HASH=$(git rev-parse HEAD)" >> $GITHUB_ENV
-        echo "CURRENT_VERSION=$(node -p "require('./package.json').version")" >> $GITHUB_ENV
-      
-    - name: Update commit file
-      run: |
-        echo "{ \"commit\": \"$COMMIT_HASH\", \"version\": \"$CURRENT_VERSION\" }" > app/commit.json
-
-    - name: Commit and push the update
-      run: |
-        git config --global user.name "github-actions[bot]"
-        git config --global user.email "github-actions[bot]@users.noreply.github.com"
-        git add app/commit.json
-        git commit -m "chore: update commit hash to $COMMIT_HASH"
-        git push

.github/workflows/docker.yaml

@@ -0,0 +1,81 @@
+---
+name: Docker Publish
+
+on:
+  workflow_dispatch:
+  push:
+    branches:
+      - main
+    tags:
+      - v*
+      - "*"
+
+permissions:
+  packages: write
+  contents: read
+
+env:
+  REGISTRY: ghcr.io
+  DOCKER_IMAGE: ghcr.io/${{ github.repository }}
+  BUILD_TARGET: bolt-ai-production # bolt-ai-development
+
+jobs:
+  docker-build-publish:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+
+      - id: string
+        uses: ASzc/change-string-case-action@v6
+        with:
+          string: ${{ env.DOCKER_IMAGE }}
+
+      - name: Docker meta
+        id: meta
+        uses: crazy-max/ghaction-docker-meta@v5
+        with:
+          images: ${{ steps.string.outputs.lowercase }}
+          flavor: |
+            latest=true
+            prefix=
+            suffix=
+          tags: |
+            type=semver,pattern={{version}}
+            type=pep440,pattern={{version}}
+            type=ref,event=tag
+            type=raw,value={{sha}}
+
+      - name: Set up QEMU
+        uses: docker/setup-qemu-action@v3
+
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+
+      - name: Login to Container Registry
+        uses: docker/login-action@v3
+        with:
+          registry: ${{ env.REGISTRY }}
+          username: ${{ github.actor }} # ${{ secrets.DOCKER_USERNAME }}
+          password: ${{ secrets.GITHUB_TOKEN }} # ${{ secrets.DOCKER_PASSWORD }} 
+
+      - name: Build and push
+        uses: docker/build-push-action@v6
+        with:
+          context: .
+          file: ./Dockerfile
+          target: ${{ env.BUILD_TARGET }}
+          platforms: linux/amd64,linux/arm64
+          push: true
+          tags: ${{ steps.meta.outputs.tags }}
+          labels: ${{ steps.meta.outputs.labels }}
+          cache-from: type=registry,ref=${{ steps.string.outputs.lowercase }}:latest
+          cache-to: type=inline
+
+      - name: Check manifest
+        run: |
+          docker buildx imagetools inspect ${{ steps.string.outputs.lowercase }}:${{ steps.meta.outputs.version }}
+
+      - name: Dump context
+        if: always()
+        uses: crazy-max/ghaction-dump-context@v2

.github/workflows/docs.yaml

@@ -4,6 +4,8 @@ on:
   push:
     branches:
       - main
+    paths:
+      - 'docs/**'  # This will only trigger the workflow when files in docs directory change
 permissions:
   contents: write
 jobs:

.github/workflows/semantic-pr.yaml

@@ -0,0 +1,32 @@
+name: Semantic Pull Request
+on:
+  pull_request_target:
+    types: [opened, reopened, edited, synchronize]
+permissions:
+  pull-requests: read
+jobs:
+  main:
+    name: Validate PR Title
+    runs-on: ubuntu-latest
+    steps:
+      # https://github.com/amannn/action-semantic-pull-request/releases/tag/v5.5.3
+      - uses: amannn/action-semantic-pull-request@0723387faaf9b38adef4775cd42cfd5155ed6017
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+        with:
+          subjectPattern: ^(?![A-Z]).+$
+          subjectPatternError: |
+            The subject "{subject}" found in the pull request title "{title}"
+            didn't match the configured pattern. Please ensure that the subject
+            doesn't start with an uppercase character.
+          types: |
+            fix
+            feat
+            chore
+            build
+            ci
+            perf
+            docs
+            refactor
+            revert
+            test

.github/workflows/update-stable.yml

@@ -80,83 +80,17 @@ jobs:
           NEW_VERSION=${{ steps.bump_version.outputs.new_version }}
           pnpm version $NEW_VERSION --no-git-tag-version --allow-same-version
 
+      
+      - name: Prepare changelog script
+        run: chmod +x .github/scripts/generate-changelog.sh
+
       - name: Generate Changelog
         id: changelog
-        run: |
+        env:
-          # Get the latest tag
+          NEW_VERSION: ${{ steps.bump_version.outputs.new_version }}
-          LATEST_TAG=$(git describe --tags --abbrev=0 2>/dev/null || echo "")
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
           
-          # Start changelog file
+        run: .github/scripts/generate-changelog.sh
-          echo "# Release v${{ steps.bump_version.outputs.new_version }}" > changelog.md
-          echo "" >> changelog.md
-          
-          if [ -z "$LATEST_TAG" ]; then
-            echo "### 🎉 First Release" >> changelog.md
-            echo "" >> changelog.md
-            COMPARE_BASE="$(git rev-list --max-parents=0 HEAD)"
-          else
-            echo "### 🔄 Changes since $LATEST_TAG" >> changelog.md
-            echo "" >> changelog.md
-            COMPARE_BASE="$LATEST_TAG"
-          fi
-          
-          # Function to extract conventional commit type
-          get_commit_type() {
-            if [[ $1 =~ ^feat:|^feature: ]]; then echo "✨ Features"; 
-            elif [[ $1 =~ ^fix: ]]; then echo "🐛 Bug Fixes";
-            elif [[ $1 =~ ^docs: ]]; then echo "📚 Documentation";
-            elif [[ $1 =~ ^style: ]]; then echo "💎 Styles";
-            elif [[ $1 =~ ^refactor: ]]; then echo "♻️ Code Refactoring";
-            elif [[ $1 =~ ^perf: ]]; then echo "⚡️ Performance Improvements";
-            elif [[ $1 =~ ^test: ]]; then echo "✅ Tests";
-            elif [[ $1 =~ ^build: ]]; then echo "🛠️ Build System";
-            elif [[ $1 =~ ^ci: ]]; then echo "⚙️ CI";
-            elif [[ $1 =~ ^chore: ]]; then echo "🔧 Chores";
-            else echo "🔍 Other Changes";
-            fi
-          }
-          
-          # Generate categorized changelog
-          declare -A CATEGORIES
-          declare -A COMMITS_BY_CATEGORY
-          
-          # Get commits since last tag or all commits if no tag exists
-          while IFS= read -r commit_line; do
-            HASH=$(echo "$commit_line" | cut -d'|' -f1)
-            MSG=$(echo "$commit_line" | cut -d'|' -f2)
-            PR_NUM=$(echo "$commit_line" | cut -d'|' -f3)
-            
-            CATEGORY=$(get_commit_type "$MSG")
-            CATEGORIES["$CATEGORY"]=1
-            
-            # Format commit message with PR link if available
-            if [ -n "$PR_NUM" ]; then
-              COMMITS_BY_CATEGORY["$CATEGORY"]+="- ${MSG#*: } ([#$PR_NUM](${GITHUB_SERVER_URL}/${GITHUB_REPOSITORY}/pull/$PR_NUM))"$'\n'
-            else
-              COMMITS_BY_CATEGORY["$CATEGORY"]+="- ${MSG#*: }"$'\n'
-            fi
-          done < <(git log "${COMPARE_BASE}..HEAD" --pretty=format:"%H|%s|%(trailers:key=PR-Number,valueonly)" --reverse)
-          
-          # Write categorized commits to changelog
-          for category in "✨ Features" "🐛 Bug Fixes" "📚 Documentation" "💎 Styles" "♻️ Code Refactoring" "⚡️ Performance Improvements" "✅ Tests" "🛠️ Build System" "⚙️ CI" "🔧 Chores" "🔍 Other Changes"; do
-            if [ -n "${COMMITS_BY_CATEGORY[$category]}" ]; then
-              echo "#### $category" >> changelog.md
-              echo "" >> changelog.md
-              echo "${COMMITS_BY_CATEGORY[$category]}" >> changelog.md
-              echo "" >> changelog.md
-            fi
-          done
-          
-          # Add compare link if not first release
-          if [ -n "$LATEST_TAG" ]; then
-            echo "**Full Changelog**: [\`$LATEST_TAG..v${{ steps.bump_version.outputs.new_version }}\`](${GITHUB_SERVER_URL}/${GITHUB_REPOSITORY}/compare/$LATEST_TAG...v${{ steps.bump_version.outputs.new_version }})" >> changelog.md
-          fi
-          
-          # Save changelog content for the release
-          CHANGELOG_CONTENT=$(cat changelog.md)
-          echo "content<<EOF" >> $GITHUB_OUTPUT
-          echo "$CHANGELOG_CONTENT" >> $GITHUB_OUTPUT
-          echo "EOF" >> $GITHUB_OUTPUT
 
       - name: Get the latest commit hash and version tag
         run: |
@@ -166,8 +100,7 @@ jobs:
       - name: Commit and Tag Release
         run: |
           git pull
-          echo "{ \"commit\": \"$COMMIT_HASH\", \"version\": \"$NEW_VERSION\" }" > app/commit.json
+          git add package.json pnpm-lock.yaml changelog.md
-          git add package.json pnpm-lock.yaml changelog.md app/commit.json
           git commit -m "chore: release version ${{ steps.bump_version.outputs.new_version }}"
           git tag "v${{ steps.bump_version.outputs.new_version }}"
           git push

.husky/pre-commit

@@ -29,15 +29,4 @@ if ! pnpm lint; then
     exit 1
 fi
 
-# Update commit.json with the latest commit hash
-echo "Updating commit.json with the latest commit hash..."
-COMMIT_HASH=$(git rev-parse HEAD)
-if [ $? -ne 0 ]; then
-    echo "❌ Failed to get commit hash. Ensure you are in a git repository."
-    exit 1
-fi
-
-echo "{ \"commit\": \"$COMMIT_HASH\" }" > app/commit.json
-git add app/commit.json
-
 echo "👍 All checks passed! Committing changes..."

CONTRIBUTING.md

@@ -1,217 +1,219 @@
-# Contributing to bolt.diy
+# Contribution Guidelines
 
-First off, thank you for considering contributing to bolt.diy! This fork aims to expand the capabilities of the original project by integrating multiple LLM providers and enhancing functionality. Every contribution helps make bolt.diy a better tool for developers worldwide.
+Welcome! This guide provides all the details you need to contribute effectively to the project. Thank you for helping us make **bolt.diy** a better tool for developers worldwide. 💡
+
+---
 
 ## 📋 Table of Contents
-- [Code of Conduct](#code-of-conduct)
-- [How Can I Contribute?](#how-can-i-contribute)
-- [Pull Request Guidelines](#pull-request-guidelines)
-- [Coding Standards](#coding-standards)
-- [Development Setup](#development-setup)
-- [Deploymnt with Docker](#docker-deployment-documentation)
-- [Project Structure](#project-structure)
 
-## Code of Conduct
+1. [Code of Conduct](#code-of-conduct)  
+2. [How Can I Contribute?](#how-can-i-contribute)  
+3. [Pull Request Guidelines](#pull-request-guidelines)  
+4. [Coding Standards](#coding-standards)  
+5. [Development Setup](#development-setup)  
+6. [Testing](#testing)  
+7. [Deployment](#deployment)  
+8. [Docker Deployment](#docker-deployment)  
+9. [VS Code Dev Containers Integration](#vs-code-dev-containers-integration)  
 
-This project and everyone participating in it is governed by our Code of Conduct. By participating, you are expected to uphold this code. Please report unacceptable behavior to the project maintainers.
+---
 
-## How Can I Contribute?
+## 🛡️ Code of Conduct
 
-### 🐞 Reporting Bugs and Feature Requests
+This project is governed by our **Code of Conduct**. By participating, you agree to uphold this code. Report unacceptable behavior to the project maintainers.
-- Check the issue tracker to avoid duplicates
-- Use the issue templates when available
-- Include as much relevant information as possible
-- For bugs, add steps to reproduce the issue
 
-### 🔧 Code Contributions
+---
-1. Fork the repository
-2. Create a new branch for your feature/fix
-3. Write your code
-4. Submit a pull request
 
-### ✨ Becoming a Core Contributor
+## 🛠️ How Can I Contribute?
-We're looking for dedicated contributors to help maintain and grow this project. If you're interested in becoming a core contributor, please fill out our [Contributor Application Form](https://forms.gle/TBSteXSDCtBDwr5m7).
 
-## Pull Request Guidelines
+### 1️⃣ Reporting Bugs or Feature Requests
+- Check the [issue tracker](#) to avoid duplicates.
+- Use issue templates (if available).  
+- Provide detailed, relevant information and steps to reproduce bugs.
 
-### 📝 PR Checklist
+### 2️⃣ Code Contributions
-- [ ] Branch from the main branch
+1. Fork the repository.  
-- [ ] Update documentation if needed
+2. Create a feature or fix branch.  
-- [ ] Manually verify all new functionality works as expected
+3. Write and test your code.  
-- [ ] Keep PRs focused and atomic
+4. Submit a pull request (PR).
 
-### 👀 Review Process
+### 3️⃣ Join as a Core Contributor  
-1. Manually test the changes
+Interested in maintaining and growing the project? Fill out our [Contributor Application Form](https://forms.gle/TBSteXSDCtBDwr5m7).
-2. At least one maintainer review required
-3. Address all review comments
-4. Maintain clean commit history
 
-## Coding Standards
+---
 
-### 💻 General Guidelines
+## ✅ Pull Request Guidelines
-- Follow existing code style
-- Comment complex logic
-- Keep functions focused and small
-- Use meaningful variable names
-- Lint your code. This repo contains a pre-commit-hook that will verify your code is linted properly, 
-so set up your IDE to do that for you!
 
-## Development Setup
+### PR Checklist  
+- Branch from the **main** branch.  
+- Update documentation, if needed.  
+- Test all functionality manually.  
+- Focus on one feature/bug per PR.  
 
-### 🔄 Initial Setup
+### Review Process  
-1. Clone the repository:
+1. Manual testing by reviewers.  
-```bash
+2. At least one maintainer review required.  
-git clone https://github.com/coleam00/bolt.new-any-llm.git
+3. Address review comments.  
-```
+4. Maintain a clean commit history.
 
-2. Install dependencies:
+---
-```bash
-pnpm install
-```
 
-3. Set up environment variables:
+## 📏 Coding Standards
-   - Rename `.env.example` to `.env.local`
-   - Add your LLM API keys (only set the ones you plan to use):
-```bash
-GROQ_API_KEY=XXX
-HuggingFace_API_KEY=XXX
-OPENAI_API_KEY=XXX
-ANTHROPIC_API_KEY=XXX
-...
-```
-   - Optionally set debug level:
-```bash
-VITE_LOG_LEVEL=debug
-```
 
-   - Optionally set context size:
+### General Guidelines  
-```bash
+- Follow existing code style.  
-DEFAULT_NUM_CTX=32768
+- Comment complex logic.  
-```
+- Keep functions small and focused.  
+- Use meaningful variable names.
 
-Some Example Context Values for the qwen2.5-coder:32b models are.
+---
 
-* DEFAULT_NUM_CTX=32768 - Consumes 36GB of VRAM
+## 🖥️ Development Setup
-* DEFAULT_NUM_CTX=24576 - Consumes 32GB of VRAM
-* DEFAULT_NUM_CTX=12288 - Consumes 26GB of VRAM
-* DEFAULT_NUM_CTX=6144 - Consumes 24GB of VRAM
 
-**Important**: Never commit your `.env.local` file to version control. It's already included in .gitignore.
+### 1️⃣ Initial Setup  
+- Clone the repository:  
+  ```bash
+  git clone https://github.com/stackblitz-labs/bolt.diy.git
+  ```
+- Install dependencies:  
+  ```bash
+  pnpm install
+  ```
+- Set up environment variables:  
+  1. Rename `.env.example` to `.env.local`.  
+  2. Add your API keys:
+     ```bash
+     GROQ_API_KEY=XXX
+     HuggingFace_API_KEY=XXX
+     OPENAI_API_KEY=XXX
+     ...
+     ```
+  3. Optionally set:  
+     - Debug level: `VITE_LOG_LEVEL=debug`  
+     - Context size: `DEFAULT_NUM_CTX=32768`  
 
-### 🚀 Running the Development Server
+**Note**: Never commit your `.env.local` file to version control. It’s already in `.gitignore`.
+
+### 2️⃣ Run Development Server  
 ```bash
 pnpm run dev
 ```
+**Tip**: Use **Google Chrome Canary** for local testing.
 
-**Note**: You will need Google Chrome Canary to run this locally if you use Chrome! It's an easy install and a good browser for web development anyway.
+---
 
-## Testing
+## 🧪 Testing
 
 Run the test suite with:  
-
 ```bash
 pnpm test
 ```
 
-## Deployment
+---
 
-To deploy the application to Cloudflare Pages:
+## 🚀 Deployment
 
+### Deploy to Cloudflare Pages  
 ```bash
 pnpm run deploy
 ```
+Ensure you have required permissions and that Wrangler is configured.
 
-Make sure you have the necessary permissions and Wrangler is correctly configured for your Cloudflare account.
+---
 
-# Docker Deployment Documentation
+## 🐳 Docker Deployment
 
-This guide outlines various methods for building and deploying the application using Docker.
+This section outlines the methods for deploying the application using Docker. The processes for **Development** and **Production** are provided separately for clarity.
 
-## Build Methods
+---
 
-### 1. Using Helper Scripts
+### 🧑‍💻 Development Environment  
 
-NPM scripts are provided for convenient building:
+#### Build Options  
 
+**Option 1: Helper Scripts**  
 ```bash
 # Development build
 npm run dockerbuild
+```
 
+**Option 2: Direct Docker Build Command**  
+```bash
+docker build . --target bolt-ai-development
+```
+
+**Option 3: Docker Compose Profile**  
+```bash
+docker compose --profile development up
+```
+
+#### Running the Development Container  
+```bash
+docker run -p 5173:5173 --env-file .env.local bolt-ai:development
+```
+
+---
+
+### 🏭 Production Environment  
+
+#### Build Options  
+
+**Option 1: Helper Scripts**  
+```bash
 # Production build
 npm run dockerbuild:prod
 ```
 
-### 2. Direct Docker Build Commands
+**Option 2: Direct Docker Build Command**  
-
-You can use Docker's target feature to specify the build environment:
-
 ```bash
-# Development build
-docker build . --target bolt-ai-development
-
-# Production build
 docker build . --target bolt-ai-production
 ```
 
-### 3. Docker Compose with Profiles
+**Option 3: Docker Compose Profile**  
-
-Use Docker Compose profiles to manage different environments:
-
 ```bash
-# Development environment
+docker compose --profile production up
-docker-compose --profile development up
-
-# Production environment
-docker-compose --profile production up
 ```
 
-## Running the Application
+#### Running the Production Container  
-
-After building using any of the methods above, run the container with:
-
 ```bash
-# Development
-docker run -p 5173:5173 --env-file .env.local bolt-ai:development
-
-# Production
 docker run -p 5173:5173 --env-file .env.local bolt-ai:production
 ```
 
-## Deployment with Coolify
+---
 
-[Coolify](https://github.com/coollabsio/coolify) provides a straightforward deployment process:
+### Coolify Deployment  
 
-1. Import your Git repository as a new project
+For an easy deployment process, use [Coolify](https://github.com/coollabsio/coolify):  
-2. Select your target environment (development/production)
+1. Import your Git repository into Coolify.  
-3. Choose "Docker Compose" as the Build Pack
+2. Choose **Docker Compose** as the build pack.  
-4. Configure deployment domains
+3. Configure environment variables (e.g., API keys).  
-5. Set the custom start command:
+4. Set the start command:  
    ```bash
    docker compose --profile production up
    ```
-6. Configure environment variables
-   - Add necessary AI API keys
-   - Adjust other environment variables as needed
-7. Deploy the application
 
-## VS Code Integration
+---
 
-The `docker-compose.yaml` configuration is compatible with VS Code dev containers:
+## 🛠️ VS Code Dev Containers Integration
 
-1. Open the command palette in VS Code
+The `docker-compose.yaml` configuration is compatible with **VS Code Dev Containers**, making it easy to set up a development environment directly in Visual Studio Code.
-2. Select the dev container configuration
-3. Choose the "development" profile from the context menu
 
-## Environment Files
+### Steps to Use Dev Containers
 
-Ensure you have the appropriate `.env.local` file configured before running the containers. This file should contain:
+1. Open the command palette in VS Code (`Ctrl+Shift+P` or `Cmd+Shift+P` on macOS).  
-- API keys
+2. Select **Dev Containers: Reopen in Container**.  
-- Environment-specific configurations
+3. Choose the **development** profile when prompted.  
-- Other required environment variables
+4. VS Code will rebuild the container and open it with the pre-configured environment.
 
-## Notes
+---
 
-- Port 5173 is exposed and mapped for both development and production environments
+## 🔑 Environment Variables
-- Environment variables are loaded from `.env.local`
+
-- Different profiles (development/production) can be used for different deployment scenarios
+Ensure `.env.local` is configured correctly with:  
-- The configuration supports both local development and production deployment
+- API keys.  
+- Context-specific configurations.  
+
+Example for the `DEFAULT_NUM_CTX` variable:  
+```bash
+DEFAULT_NUM_CTX=24576 # Uses 32GB VRAM
+```

Dockerfile

@@ -25,8 +25,10 @@ ARG ANTHROPIC_API_KEY
 ARG OPEN_ROUTER_API_KEY
 ARG GOOGLE_GENERATIVE_AI_API_KEY
 ARG OLLAMA_API_BASE_URL
+ARG XAI_API_KEY
 ARG TOGETHER_API_KEY
 ARG TOGETHER_API_BASE_URL
+ARG AWS_BEDROCK_CONFIG
 ARG VITE_LOG_LEVEL=debug
 ARG DEFAULT_NUM_CTX
 
@@ -38,16 +40,19 @@ ENV WRANGLER_SEND_METRICS=false \
     OPEN_ROUTER_API_KEY=${OPEN_ROUTER_API_KEY} \
     GOOGLE_GENERATIVE_AI_API_KEY=${GOOGLE_GENERATIVE_AI_API_KEY} \
     OLLAMA_API_BASE_URL=${OLLAMA_API_BASE_URL} \
+    XAI_API_KEY=${XAI_API_KEY} \
     TOGETHER_API_KEY=${TOGETHER_API_KEY} \
     TOGETHER_API_BASE_URL=${TOGETHER_API_BASE_URL} \
+    AWS_BEDROCK_CONFIG=${AWS_BEDROCK_CONFIG} \
     VITE_LOG_LEVEL=${VITE_LOG_LEVEL} \
-    DEFAULT_NUM_CTX=${DEFAULT_NUM_CTX}
+    DEFAULT_NUM_CTX=${DEFAULT_NUM_CTX}\
+    RUNNING_IN_DOCKER=true
 
 # Pre-configure wrangler to disable metrics
 RUN mkdir -p /root/.config/.wrangler && \
     echo '{"enabled":false}' > /root/.config/.wrangler/metrics.json
 
-RUN npm run build
+RUN pnpm run build
 
 CMD [ "pnpm", "run", "dockerstart"]
 
@@ -62,6 +67,7 @@ ARG ANTHROPIC_API_KEY
 ARG OPEN_ROUTER_API_KEY
 ARG GOOGLE_GENERATIVE_AI_API_KEY
 ARG OLLAMA_API_BASE_URL
+ARG XAI_API_KEY
 ARG TOGETHER_API_KEY
 ARG TOGETHER_API_BASE_URL
 ARG VITE_LOG_LEVEL=debug
@@ -74,10 +80,13 @@ ENV GROQ_API_KEY=${GROQ_API_KEY} \
     OPEN_ROUTER_API_KEY=${OPEN_ROUTER_API_KEY} \
     GOOGLE_GENERATIVE_AI_API_KEY=${GOOGLE_GENERATIVE_AI_API_KEY} \
     OLLAMA_API_BASE_URL=${OLLAMA_API_BASE_URL} \
+    XAI_API_KEY=${XAI_API_KEY} \
     TOGETHER_API_KEY=${TOGETHER_API_KEY} \
     TOGETHER_API_BASE_URL=${TOGETHER_API_BASE_URL} \
+    AWS_BEDROCK_CONFIG=${AWS_BEDROCK_CONFIG} \
     VITE_LOG_LEVEL=${VITE_LOG_LEVEL} \
-    DEFAULT_NUM_CTX=${DEFAULT_NUM_CTX}
+    DEFAULT_NUM_CTX=${DEFAULT_NUM_CTX}\
+    RUNNING_IN_DOCKER=true
 
 RUN mkdir -p ${WORKDIR}/run
 CMD pnpm run dev --host

FAQ.md

@@ -1,47 +1,91 @@
-[![bolt.diy: AI-Powered Full-Stack Web Development in the Browser](./public/social_preview_index.jpg)](https://bolt.diy)
+# Frequently Asked Questions (FAQ)
 
-# bolt.diy
+<details>
+<summary><strong>What are the best models for bolt.diy?</strong></summary>
 
-## FAQ
+For the best experience with bolt.diy, we recommend using the following models:
 
-### How do I get the best results with bolt.diy?
+- **Claude 3.5 Sonnet (old)**: Best overall coder, providing excellent results across all use cases
+- **Gemini 2.0 Flash**: Exceptional speed while maintaining good performance
+- **GPT-4o**: Strong alternative to Claude 3.5 Sonnet with comparable capabilities
+- **DeepSeekCoder V2 236b**: Best open source model (available through OpenRouter, DeepSeek API, or self-hosted)
+- **Qwen 2.5 Coder 32b**: Best model for self-hosting with reasonable hardware requirements
 
-- **Be specific about your stack**: If you want to use specific frameworks or libraries (like Astro, Tailwind, ShadCN, or any other popular JavaScript framework), mention them in your initial prompt to ensure bolt scaffolds the project accordingly.
+**Note**: Models with less than 7b parameters typically lack the capability to properly interact with bolt!
+</details>
 
-- **Use the enhance prompt icon**: Before sending your prompt, try clicking the 'enhance' icon to have the AI model help you refine your prompt, then edit the results before submitting.
+<details>
+<summary><strong>How do I get the best results with bolt.diy?</strong></summary>
 
-- **Scaffold the basics first, then add features**: Make sure the basic structure of your application is in place before diving into more advanced functionality. This helps Bolt.diy understand the foundation of your project and ensure everything is wired up right before building out more advanced functionality.
+- **Be specific about your stack**:  
+  Mention the frameworks or libraries you want to use (e.g., Astro, Tailwind, ShadCN) in your initial prompt. This ensures that bolt.diy scaffolds the project according to your preferences.
 
-- **Batch simple instructions**: Save time by combining simple instructions into one message. For example, you can ask Bolt.diy to change the color scheme, add mobile responsiveness, and restart the dev server, all in one go saving you time and reducing API credit consumption significantly.
+- **Use the enhance prompt icon**:  
+  Before sending your prompt, click the *enhance* icon to let the AI refine your prompt. You can edit the suggested improvements before submitting.
 
-### Why are there so many open issues/pull requests?
+- **Scaffold the basics first, then add features**:  
+  Ensure the foundational structure of your application is in place before introducing advanced functionality. This helps bolt.diy establish a solid base to build on.
 
-bolt.diy was started simply to showcase how to edit an open source project and to do something cool with local LLMs on my (@ColeMedin) YouTube channel! However, it quickly grew into a massive community project that I am working hard to keep up with the demand of by forming a team of maintainers and getting as many people involved as I can. That effort is going well and all of our maintainers are ABSOLUTE rockstars, but it still takes time to organize everything so we can efficiently get through all the issues and PRs. But rest assured, we are working hard and even working on some partnerships behind the scenes to really help this project take off!
+- **Batch simple instructions**:  
+  Combine simple tasks into a single prompt to save time and reduce API credit consumption. For example:  
+  *"Change the color scheme, add mobile responsiveness, and restart the dev server."*
+</details>
 
-### How do local LLMs fair compared to larger models like Claude 3.5 Sonnet for bolt.diy/bolt.new?
+<details>
+<summary><strong>How do I contribute to bolt.diy?</strong></summary>
 
-As much as the gap is quickly closing between open source and massive close source models, you’re still going to get the best results with the very large models like GPT-4o, Claude 3.5 Sonnet, and DeepSeek Coder V2 236b. This is one of the big tasks we have at hand - figuring out how to prompt better, use agents, and improve the platform as a whole to make it work better for even the smaller local LLMs!
+Check out our [Contribution Guide](CONTRIBUTING.md) for more details on how to get involved!
+</details>
 
-### I'm getting the error: "There was an error processing this request"
+<details>
+<summary><strong>What are the future plans for bolt.diy?</strong></summary>
 
-If you see this error within bolt.diy, that is just the application telling you there is a problem at a high level, and this could mean a number of different things. To find the actual error, please check BOTH the terminal where you started the application (with Docker or pnpm) and the developer console in the browser. For most browsers, you can access the developer console by pressing F12 or right clicking anywhere in the browser and selecting “Inspect”. Then go to the “console” tab in the top right.
+Visit our [Roadmap](https://roadmap.sh/r/ottodev-roadmap-2ovzo) for the latest updates.  
+New features and improvements are on the way!
+</details>
 
-### I'm getting the error: "x-api-key header missing"
+<details>
+<summary><strong>Why are there so many open issues/pull requests?</strong></summary>
 
-We have seen this error a couple times and for some reason just restarting the Docker container has fixed it. This seems to be Ollama specific. Another thing to try is try to run bolt.diy with Docker or pnpm, whichever you didn’t run first. We are still on the hunt for why this happens once and a while!
+bolt.diy began as a small showcase project on @ColeMedin's YouTube channel to explore editing open-source projects with local LLMs. However, it quickly grew into a massive community effort!  
 
-### I'm getting a blank preview when bolt.diy runs my app!
+We're forming a team of maintainers to manage demand and streamline issue resolution. The maintainers are rockstars, and we're also exploring partnerships to help the project thrive.
+</details>
 
-We promise you that we are constantly testing new PRs coming into bolt.diy and the preview is core functionality, so the application is not broken! When you get a blank preview or don’t get a preview, this is generally because the LLM hallucinated bad code or incorrect commands. We are working on making this more transparent so it is obvious. Sometimes the error will appear in developer console too so check that as well.
+<details>
+<summary><strong>How do local LLMs compare to larger models like Claude 3.5 Sonnet for bolt.diy?</strong></summary>
 
-### How to add a LLM:
+While local LLMs are improving rapidly, larger models like GPT-4o, Claude 3.5 Sonnet, and DeepSeek Coder V2 236b still offer the best results for complex applications. Our ongoing focus is to improve prompts, agents, and the platform to better support smaller local LLMs.
+</details>
 
-To make new LLMs available to use in this version of bolt.new, head on over to `app/utils/constants.ts` and find the constant MODEL_LIST. Each element in this array is an object that has the model ID for the name (get this from the provider's API documentation), a label for the frontend model dropdown, and the provider. 
+<details>
+<summary><strong>Common Errors and Troubleshooting</strong></summary>
 
-By default, Anthropic, OpenAI, Groq, and Ollama are implemented as providers, but the YouTube video for this repo covers how to extend this to work with more providers if you wish!
+### **"There was an error processing this request"**
+This generic error message means something went wrong. Check both:
+- The terminal (if you started the app with Docker or `pnpm`).
+- The developer console in your browser (press `F12` or right-click > *Inspect*, then go to the *Console* tab).
 
-When you add a new model to the MODEL_LIST array, it will immediately be available to use when you run the app locally or reload it. For Ollama models, make sure you have the model installed already before trying to use it here!
+### **"x-api-key header missing"**
+This error is sometimes resolved by restarting the Docker container.  
+If that doesn't work, try switching from Docker to `pnpm` or vice versa. We're actively investigating this issue.
 
-### Everything works but the results are bad
+### **Blank preview when running the app**
+A blank preview often occurs due to hallucinated bad code or incorrect commands.  
+To troubleshoot:
+- Check the developer console for errors.
+- Remember, previews are core functionality, so the app isn't broken! We're working on making these errors more transparent.
 
-This goes to the point above about how local LLMs are getting very powerful but you still are going to see better (sometimes much better) results with the largest LLMs like GPT-4o, Claude 3.5 Sonnet, and DeepSeek Coder V2 236b. If you are using smaller LLMs like Qwen-2.5-Coder, consider it more experimental and educational at this point. It can build smaller applications really well, which is super impressive for a local LLM, but for larger scale applications you want to use the larger LLMs still!
+### **"Everything works, but the results are bad"**
+Local LLMs like Qwen-2.5-Coder are powerful for small applications but still experimental for larger projects. For better results, consider using larger models like GPT-4o, Claude 3.5 Sonnet, or DeepSeek Coder V2 236b.
+
+### **"Received structured exception #0xc0000005: access violation"**
+If you are getting this, you are probably on Windows. The fix is generally to update the [Visual C++ Redistributable](https://learn.microsoft.com/en-us/cpp/windows/latest-supported-vc-redist?view=msvc-170)
+
+### **"Miniflare or Wrangler errors in Windows"**
+You will need to make sure you have the latest version of Visual Studio C++ installed (14.40.33816), more information here https://github.com/stackblitz-labs/bolt.diy/issues/19.
+</details>
+
+---
+
+Got more questions? Feel free to reach out or open an issue in our GitHub repo!

LICENSE

@@ -1,6 +1,6 @@
 MIT License
 
-Copyright (c) 2024 StackBlitz, Inc.
+Copyright (c) 2024 StackBlitz, Inc. and bolt.diy contributors
 
 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal

PROJECT.md

@@ -0,0 +1,57 @@
+# Project management of bolt.diy
+
+First off: this sounds funny, we know. "Project management" comes from a world of enterprise stuff and this project is
+far from being enterprisy- it's still anarchy all over the place 😉
+
+But we need to organize ourselves somehow, right?
+
+> tl;dr: We've got a project board with epics and features. We use PRs as change log and as materialized features. Find it [here](https://github.com/orgs/stackblitz-labs/projects/4).
+
+Here's how we structure long-term vision, mid-term capabilities of the software and short term improvements.
+
+## Strategic epics (long-term)
+
+Strategic epics define areas in which the product evolves. Usually, these epics don’t overlap. They shall allow the core
+team to define what they believe is most important and should be worked on with the highest priority.
+
+You can find the [epics as issues](https://github.com/stackblitz-labs/bolt.diy/labels/epic) which are probably never
+going to be closed.
+
+What's the benefit / purpose of epics?
+
+1. Prioritization
+
+E. g. we could say “managing files is currently more important that quality”. Then, we could thing about which features
+would bring “managing files” forward. It may be different features, such as “upload local files”, “import from a repo”
+or also undo/redo/commit.
+
+In a more-or-less regular meeting dedicated for that, the core team discusses which epics matter most, sketch features
+and then check who can work on them. After the meeting, they update the roadmap (at least for the next development turn)
+and this way communicate where the focus currently is.
+
+2. Grouping of features
+
+By linking features with epics, we can keep them together and document *why* we invest work into a particular thing.
+
+## Features (mid-term)
+
+We all know probably a dozen of methodologies following which features are being described (User story, business
+function, you name it).
+
+However, we intentionally describe features in a more vague manner. Why? Everybody loves crisp, well-defined
+acceptance-criteria, no? Well, every product owner loves it. because he knows what he’ll get once it’s done.
+
+But: **here is no owner of this product**. Therefore, we grant *maximum flexibility to the developer contributing a feature* – so that he can bring in his ideas and have most fun implementing it.
+
+The feature therefore tries to describe *what* should be improved but not in detail *how*.
+
+## PRs as materialized features (short-term)
+
+Once a developer starts working on a feature, a draft-PR *can* be opened asap to share, describe and discuss, how the feature shall be implemented. But: this is not a must. It just helps to get early feedback and get other developers involved. Sometimes, the developer just wants to get started and then open a PR later. 
+
+In a loosely organized project, it may as well happen that multiple PRs are opened for the same feature. This is no real issue: Usually, peoply being passionate about a solution are willing to join forces and get it done together. And if a second developer was just faster getting the same feature realized: Be happy that it's been done, close the PR and look out for the next feature to implement 🤓
+
+## PRs as change log
+
+Once a PR is merged, a squashed commit contains the whole PR description which allows for a good change log.
+All authors of commits in the PR are mentioned in the squashed commit message and become contributors 🙌

README.md

@@ -1,19 +1,44 @@
-[![bolt.diy: AI-Powered Full-Stack Web Development in the Browser](./public/social_preview_index.jpg)](https://bolt.diy)
-
 # bolt.diy (Previously oTToDev)
 
+[![bolt.diy: AI-Powered Full-Stack Web Development in the Browser](./public/social_preview_index.jpg)](https://bolt.diy)
+
 Welcome to bolt.diy, the official open source version of Bolt.new (previously known as oTToDev and bolt.new ANY LLM), which allows you to choose the LLM that you use for each prompt! Currently, you can use OpenAI, Anthropic, Ollama, OpenRouter, Gemini, LMStudio, Mistral, xAI, HuggingFace, DeepSeek, or Groq models - and it is easily extended to use any other model supported by the Vercel AI SDK! See the instructions below for running this locally and extending it to include more models.
 
-Check the [bolt.diy Docs](https://stackblitz-labs.github.io/bolt.diy/) for more information. This documentation is still being updated after the transfer.
+-----
+Check the [bolt.diy Docs](https://stackblitz-labs.github.io/bolt.diy/) for more offical installation instructions and more informations.
+
+-----
+Also [this pinned post in our community](https://thinktank.ottomator.ai/t/videos-tutorial-helpful-content/3243) has a bunch of incredible resources for running and deploying bolt.diy yourself!
+
+We have also launched an experimental agent called the "bolt.diy Expert" that can answer common questions about bolt.diy. Find it here on the [oTTomator Live Agent Studio](https://studio.ottomator.ai/).
 
 bolt.diy was originally started by [Cole Medin](https://www.youtube.com/@ColeMedin) but has quickly grown into a massive community effort to build the BEST open source AI coding assistant!
 
-## Join the community for bolt.diy!
+## Table of Contents
 
-https://thinktank.ottomator.ai
+- [Join the Community](#join-the-community)
+- [Requested Additions](#requested-additions)
+- [Features](#features)
+- [Setup](#setup)
+- [Run the Application](#run-the-application)
+- [Available Scripts](#available-scripts)
+- [Contributing](#contributing)
+- [Roadmap](#roadmap)
+- [FAQ](#faq)
 
+## Join the community
 
-## Requested Additions - Feel Free to Contribute!
+[Join the bolt.diy community here, in the oTTomator Think Tank!](https://thinktank.ottomator.ai)
+
+## Project management
+
+Bolt.diy is a community effort! Still, the core team of contributors aims at organizing the project in way that allows
+you to understand where the current areas of focus are.
+
+If you want to know what we are working on, what we are planning to work on, or if you want to contribute to the
+project, please check the [project management guide](./PROJECT.md) to get started easily.
+
+## Requested Additions
 
 - ✅ OpenRouter Integration (@coleam00)
 - ✅ Gemini Integration (@jonathands)
@@ -34,6 +59,7 @@ https://thinktank.ottomator.ai
 - ✅ Bolt terminal to see the output of LLM run commands (@thecodacus)
 - ✅ Streaming of code output (@thecodacus)
 - ✅ Ability to revert code to earlier version (@wonderwhy-er)
+- ✅ Chat history backup and restore functionality (@sidbetatester)
 - ✅ Cohere Integration (@hasanraiyan)
 - ✅ Dynamic model max token length (@hasanraiyan)
 - ✅ Better prompt enhancing (@SujalXplores)
@@ -42,12 +68,17 @@ https://thinktank.ottomator.ai
 - ✅ Together Integration (@mouimet-infinisoft)
 - ✅ Mobile friendly (@qwikode)
 - ✅ Better prompt enhancing (@SujalXplores)
-- ✅ Attach images to prompts (@atrokhym)
+- ✅ Attach images to prompts (@atrokhym)(@stijnus)
 - ✅ Added Git Clone button (@thecodacus)
 - ✅ Git Import from url (@thecodacus)
 - ✅ PromptLibrary to have different variations of prompts for different use cases (@thecodacus)
 - ✅ Detect package.json and commands to auto install & run preview for folder and git import (@wonderwhy-er)
 - ✅ Selection tool to target changes visually (@emcconnell)
+- ✅ Detect terminal Errors and ask bolt to fix it (@thecodacus)
+- ✅ Detect preview Errors and ask bolt to fix it (@wonderwhy-er)
+- ✅ Add Starter Template Options (@thecodacus)
+- ✅ Perplexity Integration (@meetpateltech)
+- ✅ AWS Bedrock Integration (@kunjabijukchhe)
 - ⬜ **HIGH PRIORITY** - Prevent bolt from rewriting files as often (file locking and diffs)
 - ⬜ **HIGH PRIORITY** - Better prompting for smaller LLMs (code window sometimes doesn't start)
 - ⬜ **HIGH PRIORITY** - Run agents in the backend as opposed to a single model call
@@ -57,12 +88,14 @@ https://thinktank.ottomator.ai
 - ⬜ Upload documents for knowledge - UI design templates, a code base to reference coding style, etc.
 - ⬜ Voice prompting
 - ⬜ Azure Open AI API Integration
-- ⬜ Perplexity Integration
 - ⬜ Vertex AI Integration
+- ⬜ Granite Integration
+- ✅ Popout Window for Web Container(@stijnus)
+- ✅ Ability to change Popout window size (@stijnus)
 
-## bolt.diy Features
+## Features
 
-- **AI-powered full-stack web development** directly in your browser.
+- **AI-powered full-stack web development** for **NodeJS based applications** directly in your browser.
 - **Support for multiple LLMs** with an extensible architecture to integrate additional models.
 - **Attach images to prompts** for better contextual understanding.
 - **Integrated terminal** to view output of LLM-run commands.
@@ -70,141 +103,221 @@ https://thinktank.ottomator.ai
 - **Download projects as ZIP** for easy portability.
 - **Integration-ready Docker support** for a hassle-free setup.
 
-## Setup bolt.diy 
+## Setup
 
 If you're new to installing software from GitHub, don't worry! If you encounter any issues, feel free to submit an "issue" using the provided links or improve this documentation by forking the repository, editing the instructions, and submitting a pull request. The following instruction will help you get the stable branch up and running on your local machine in no time.
 
-### Prerequisites  
+Let's get you up and running with the stable version of Bolt.DIY!
 
-1. **Install Git**: [Download Git](https://git-scm.com/downloads)  
+## Quick Download
-2. **Install Node.js**: [Download Node.js](https://nodejs.org/en/download/)  
 
-   - After installation, the Node.js path is usually added to your system automatically. To verify:  
+[![Download Latest Release](https://img.shields.io/github/v/release/stackblitz-labs/bolt.diy?label=Download%20Bolt&sort=semver)](https://github.com/stackblitz-labs/bolt.diy/releases/latest) ← Click here to go the the latest release version!
-     - **Windows**: Search for "Edit the system environment variables," click "Environment Variables," and check if `Node.js` is in the `Path` variable.  
+
-     - **Mac/Linux**: Open a terminal and run:  
+- Next **click source.zip**
+
+## Prerequisites
+
+Before you begin, you'll need to install two important pieces of software:
+
+### Install Node.js
+
+Node.js is required to run the application.
+
+1. Visit the [Node.js Download Page](https://nodejs.org/en/download/)
+2. Download the "LTS" (Long Term Support) version for your operating system
+3. Run the installer, accepting the default settings
+4. Verify Node.js is properly installed:
+   - **For Windows Users**:
+     1. Press `Windows + R`
+     2. Type "sysdm.cpl" and press Enter
+     3. Go to "Advanced" tab → "Environment Variables"
+     4. Check if `Node.js` appears in the "Path" variable
+   - **For Mac/Linux Users**:
+     1. Open Terminal
+     2. Type this command:
         ```bash
         echo $PATH
         ```
-       Look for `/usr/local/bin` in the output.  
+     3. Look for `/usr/local/bin` in the output
 
-### Clone the Repository  
+## Running the Application
 
-Clone the repository using Git:  
+You have two options for running Bolt.DIY: directly on your machine or using Docker.
 
-```bash  
+### Option 1: Direct Installation (Recommended for Beginners)
-git clone -b stable https://github.com/stackblitz-labs/bolt.diy  
-```  
 
-### (Optional) Configure Environment Variables  
+1. **Install Package Manager (pnpm)**:
 
-Most environment variables can be configured directly through the settings menu of the application. However, if you need to manually configure them:  
+   ```bash
+   npm install -g pnpm
+   ```
 
-1. Rename `.env.example` to `.env.local`.  
+2. **Install Project Dependencies**:
-2. Add your LLM API keys. For example:  
 
-```env  
-GROQ_API_KEY=YOUR_GROQ_API_KEY  
-OPENAI_API_KEY=YOUR_OPENAI_API_KEY  
-ANTHROPIC_API_KEY=YOUR_ANTHROPIC_API_KEY  
-```  
-
-**Note**: Ollama does not require an API key as it runs locally.  
-
-3. Optionally, set additional configurations:  
-
-```env  
-# Debugging  
-VITE_LOG_LEVEL=debug  
-
-# Ollama settings (example: 8K context, localhost port 11434)  
-OLLAMA_API_BASE_URL=http://localhost:11434  
-DEFAULT_NUM_CTX=8192  
-```  
-
-**Important**: Do not commit your `.env.local` file to version control. This file is already included in `.gitignore`.  
-
----
-
-## Run the Application  
-
-### Option 1: Without Docker
-
-1. **Install Dependencies**:  
    ```bash
    pnpm install
    ```
-   If `pnpm` is not installed, install it using:  
-   ```bash  
-   sudo npm install -g pnpm  
-   ```  
 
-2. **Start the Application**:  
+3. **Start the Application**:
+
    ```bash
    pnpm run dev
    ```
-   This will start the Remix Vite development server. You will need Google Chrome Canary to run this locally if you use Chrome! It's an easy install and a good browser for web development anyway.  
 
-### Option 2: With Docker  
+   **Important Note**: If you're using Google Chrome, you'll need Chrome Canary for local development. [Download it here](https://www.google.com/chrome/canary/)
 
-#### Prerequisites  
+### Option 2: Using Docker
-- Ensure Git, Node.js, and Docker are installed: [Download Docker](https://www.docker.com/)  
 
-#### Steps  
+This option requires some familiarity with Docker but provides a more isolated environment.
+
+#### Additional Prerequisite
+
+- Install Docker: [Download Docker](https://www.docker.com/)
+
+#### Steps:
 
 1. **Build the Docker Image**:
 
-   Use the provided NPM scripts:  
    ```bash
-   npm run dockerbuild       # Development build  
+   # Using npm script:
-   npm run dockerbuild:prod  # Production build  
+   npm run dockerbuild
-   ```  
 
-   Alternatively, use Docker commands directly:  
+   # OR using direct Docker command:
-   ```bash  
+   docker build . --target bolt-ai-development
-   docker build . --target bolt-ai-development  # Development build  
-   docker build . --target bolt-ai-production   # Production build  
    ```
 
 2. **Run the Container**:
-   Use Docker Compose profiles to manage environments:  
    ```bash
-   docker-compose --profile development up  # Development  
+   docker compose --profile development up
-   docker-compose --profile production up   # Production  
    ```
 
-   - With the development profile, changes to your code will automatically reflect in the running container (hot reloading).  
+## Configuring API Keys and Providers
 
----
+### Adding Your API Keys
 
-### Update Your Local Version to the Latest
+Setting up your API keys in Bolt.DIY is straightforward:
 
-To keep your local version of bolt.diy up to date with the latest changes, follow these steps for your operating system:
+1. Open the home page (main interface)
+2. Select your desired provider from the dropdown menu
+3. Click the pencil (edit) icon
+4. Enter your API key in the secure input field
 
-#### 1. **Navigate to your project folder**  
+![API Key Configuration Interface](./docs/images/api-key-ui-section.png)
-   Navigate to the directory where you cloned the repository and open a terminal:
 
-#### 2. **Fetch the Latest Changes**  
+### Configuring Custom Base URLs
-   Use Git to pull the latest changes from the main repository:
+
+For providers that support custom base URLs (such as Ollama or LM Studio), follow these steps:
+
+1. Click the settings icon in the sidebar to open the settings menu
+   ![Settings Button Location](./docs/images/bolt-settings-button.png)
+
+2. Navigate to the "Providers" tab
+3. Search for your provider using the search bar
+4. Enter your custom base URL in the designated field
+   ![Provider Base URL Configuration](./docs/images/provider-base-url.png)
+
+> **Note**: Custom base URLs are particularly useful when running local instances of AI models or using custom API endpoints.
+
+### Supported Providers
+
+- Ollama
+- LM Studio
+- OpenAILike
+
+## Setup Using Git (For Developers only)
+
+This method is recommended for developers who want to:
+
+- Contribute to the project
+- Stay updated with the latest changes
+- Switch between different versions
+- Create custom modifications
+
+#### Prerequisites
+
+1. Install Git: [Download Git](https://git-scm.com/downloads)
+
+#### Initial Setup
+
+1. **Clone the Repository**:
+
+   ```bash
+   # Using HTTPS
+   git clone https://github.com/stackblitz-labs/bolt.diy.git
+   ```
+
+2. **Navigate to Project Directory**:
+
+   ```bash
+   cd bolt.diy
+   ```
+
+3. **Switch to the Main Branch**:
+   ```bash
+   git checkout main
+   ```
+4. **Install Dependencies**:
+
+   ```bash
+   pnpm install
+   ```
+
+5. **Start the Development Server**:
+   ```bash
+   pnpm run dev
+   ```
+
+#### Staying Updated
+
+To get the latest changes from the repository:
+
+1. **Save Your Local Changes** (if any):
+
+   ```bash
+   git stash
+   ```
+
+2. **Pull Latest Updates**:
 
    ```bash
    git pull origin main
    ```
 
-#### 3. **Update Dependencies**  
+3. **Update Dependencies**:
-   After pulling the latest changes, update the project dependencies by running the following command:
 
    ```bash
    pnpm install
    ```
 
-#### 4. **Run the Application**  
+4. **Restore Your Local Changes** (if any):
-   Once the updates are complete, you can start the application again with:
-
    ```bash
-   pnpm run dev
+   git stash pop
    ```
 
-This ensures that you're running the latest version of bolt.diy and can take advantage of all the newest features and bug fixes.
+#### Troubleshooting Git Setup
+
+If you encounter issues:
+
+1. **Clean Installation**:
+
+   ```bash
+   # Remove node modules and lock files
+   rm -rf node_modules pnpm-lock.yaml
+
+   # Clear pnpm cache
+   pnpm store prune
+
+   # Reinstall dependencies
+   pnpm install
+   ```
+
+2. **Reset Local Changes**:
+   ```bash
+   # Discard all local changes
+   git reset --hard origin/main
+   ```
+
+Remember to always commit your local changes or stash them before pulling updates to avoid conflicts.
 
 ---
 
@@ -236,4 +349,4 @@ Explore upcoming features and priorities on our [Roadmap](https://roadmap.sh/r/o
 
 ## FAQ
 
-For answers to common questions, visit our [FAQ Page](FAQ.md).
+For answers to common questions, issues, and to see a list of recommended models, visit our [FAQ Page](FAQ.md).

app/commit.json

@@ -1 +0,0 @@
-{ "commit": "89eac1ba8b2ada92dd76da9671d17e08de61a8bf", "version": "0.0.2" }

app/components/chat/APIKeyManager.tsx

@@ -1,6 +1,7 @@
-import React, { useState } from 'react';
+import React, { useState, useEffect, useCallback } from 'react';
 import { IconButton } from '~/components/ui/IconButton';
 import type { ProviderInfo } from '~/types/model';
+import Cookies from 'js-cookie';
 
 interface APIKeyManagerProps {
   provider: ProviderInfo;
@@ -10,58 +11,159 @@ interface APIKeyManagerProps {
   labelForGetApiKey?: string;
 }
 
+// cache which stores whether the provider's API key is set via environment variable
+const providerEnvKeyStatusCache: Record<string, boolean> = {};
+
+const apiKeyMemoizeCache: { [k: string]: Record<string, string> } = {};
+
+export function getApiKeysFromCookies() {
+  const storedApiKeys = Cookies.get('apiKeys');
+  let parsedKeys: Record<string, string> = {};
+
+  if (storedApiKeys) {
+    parsedKeys = apiKeyMemoizeCache[storedApiKeys];
+
+    if (!parsedKeys) {
+      parsedKeys = apiKeyMemoizeCache[storedApiKeys] = JSON.parse(storedApiKeys);
+    }
+  }
+
+  return parsedKeys;
+}
+
 // eslint-disable-next-line @typescript-eslint/naming-convention
 export const APIKeyManager: React.FC<APIKeyManagerProps> = ({ provider, apiKey, setApiKey }) => {
   const [isEditing, setIsEditing] = useState(false);
   const [tempKey, setTempKey] = useState(apiKey);
+  const [isEnvKeySet, setIsEnvKeySet] = useState(false);
+
+  // Reset states and load saved key when provider changes
+  useEffect(() => {
+    // Load saved API key from cookies for this provider
+    const savedKeys = getApiKeysFromCookies();
+    const savedKey = savedKeys[provider.name] || '';
+
+    setTempKey(savedKey);
+    setApiKey(savedKey);
+    setIsEditing(false);
+  }, [provider.name]);
+
+  const checkEnvApiKey = useCallback(async () => {
+    // Check cache first
+    if (providerEnvKeyStatusCache[provider.name] !== undefined) {
+      setIsEnvKeySet(providerEnvKeyStatusCache[provider.name]);
+      return;
+    }
+
+    try {
+      const response = await fetch(`/api/check-env-key?provider=${encodeURIComponent(provider.name)}`);
+      const data = await response.json();
+      const isSet = (data as { isSet: boolean }).isSet;
+
+      // Cache the result
+      providerEnvKeyStatusCache[provider.name] = isSet;
+      setIsEnvKeySet(isSet);
+    } catch (error) {
+      console.error('Failed to check environment API key:', error);
+      setIsEnvKeySet(false);
+    }
+  }, [provider.name]);
+
+  useEffect(() => {
+    checkEnvApiKey();
+  }, [checkEnvApiKey]);
 
   const handleSave = () => {
+    // Save to parent state
     setApiKey(tempKey);
+
+    // Save to cookies
+    const currentKeys = getApiKeysFromCookies();
+    const newKeys = { ...currentKeys, [provider.name]: tempKey };
+    Cookies.set('apiKeys', JSON.stringify(newKeys));
+
     setIsEditing(false);
   };
 
   return (
-    <div className="flex items-start sm:items-center mt-2 mb-2 flex-col sm:flex-row">
+    <div className="flex items-center justify-between py-3 px-1">
-      <div>
+      <div className="flex items-center gap-2 flex-1">
-        <span className="text-sm text-bolt-elements-textSecondary">{provider?.name} API Key:</span>
+        <div className="flex items-center gap-2">
+          <span className="text-sm font-medium text-bolt-elements-textSecondary">{provider?.name} API Key:</span>
           {!isEditing && (
-          <div className="flex items-center mb-4">
+            <div className="flex items-center gap-2">
-            <span className="flex-1 text-xs text-bolt-elements-textPrimary mr-2">
+              {apiKey ? (
-              {apiKey ? '••••••••' : 'Not set (will still work if set in .env file)'}
+                <>
-            </span>
+                  <div className="i-ph:check-circle-fill text-green-500 w-4 h-4" />
-            <IconButton onClick={() => setIsEditing(true)} title="Edit API Key">
+                  <span className="text-xs text-green-500">Set via UI</span>
-              <div className="i-ph:pencil-simple" />
+                </>
-            </IconButton>
+              ) : isEnvKeySet ? (
+                <>
+                  <div className="i-ph:check-circle-fill text-green-500 w-4 h-4" />
+                  <span className="text-xs text-green-500">Set via environment variable</span>
+                </>
+              ) : (
+                <>
+                  <div className="i-ph:x-circle-fill text-red-500 w-4 h-4" />
+                  <span className="text-xs text-red-500">Not Set (Please set via UI or ENV_VAR)</span>
+                </>
+              )}
             </div>
           )}
         </div>
+      </div>
 
+      <div className="flex items-center gap-2 shrink-0">
         {isEditing ? (
-        <div className="flex items-center gap-3 mt-2">
+          <div className="flex items-center gap-2">
             <input
               type="password"
               value={tempKey}
-            placeholder="Your API Key"
+              placeholder="Enter API Key"
               onChange={(e) => setTempKey(e.target.value)}
-            className="flex-1 px-2 py-1 text-xs lg:text-sm rounded border border-bolt-elements-borderColor bg-bolt-elements-prompt-background text-bolt-elements-textPrimary focus:outline-none focus:ring-2 focus:ring-bolt-elements-focus"
+              className="w-[300px] px-3 py-1.5 text-sm rounded border border-bolt-elements-borderColor 
+                        bg-bolt-elements-prompt-background text-bolt-elements-textPrimary 
+                        focus:outline-none focus:ring-2 focus:ring-bolt-elements-focus"
             />
-          <IconButton onClick={handleSave} title="Save API Key">
+            <IconButton
-            <div className="i-ph:check" />
+              onClick={handleSave}
+              title="Save API Key"
+              className="bg-green-500/10 hover:bg-green-500/20 text-green-500"
+            >
+              <div className="i-ph:check w-4 h-4" />
             </IconButton>
-          <IconButton onClick={() => setIsEditing(false)} title="Cancel">
+            <IconButton
-            <div className="i-ph:x" />
+              onClick={() => setIsEditing(false)}
+              title="Cancel"
+              className="bg-red-500/10 hover:bg-red-500/20 text-red-500"
+            >
+              <div className="i-ph:x w-4 h-4" />
             </IconButton>
           </div>
         ) : (
           <>
-          {provider?.getApiKeyLink && (
+            {
-            <IconButton className="ml-auto" onClick={() => window.open(provider?.getApiKeyLink)} title="Edit API Key">
+              <IconButton
-              <span className="mr-2 text-xs lg:text-sm">{provider?.labelForGetApiKey || 'Get API Key'}</span>
+                onClick={() => setIsEditing(true)}
-              <div className={provider?.icon || 'i-ph:key'} />
+                title="Edit API Key"
+                className="bg-blue-500/10 hover:bg-blue-500/20 text-blue-500"
+              >
+                <div className="i-ph:pencil-simple w-4 h-4" />
+              </IconButton>
+            }
+            {provider?.getApiKeyLink && !apiKey && (
+              <IconButton
+                onClick={() => window.open(provider?.getApiKeyLink)}
+                title="Get API Key"
+                className="bg-purple-500/10 hover:bg-purple-500/20 text-purple-500 flex items-center gap-2"
+              >
+                <span className="text-xs whitespace-nowrap">{provider?.labelForGetApiKey || 'Get API Key'}</span>
+                <div className={`${provider?.icon || 'i-ph:key'} w-4 h-4`} />
               </IconButton>
             )}
           </>
         )}
       </div>
+    </div>
   );
 };

app/components/chat/AssistantMessage.tsx

@@ -1,6 +1,8 @@
 import { memo } from 'react';
 import { Markdown } from './Markdown';
 import type { JSONValue } from 'ai';
+import type { ProgressAnnotation } from '~/types/context';
+import Popover from '~/components/ui/Popover';
 
 interface AssistantMessageProps {
   content: string;
@@ -10,7 +12,12 @@ interface AssistantMessageProps {
 export const AssistantMessage = memo(({ content, annotations }: AssistantMessageProps) => {
   const filteredAnnotations = (annotations?.filter(
     (annotation: JSONValue) => annotation && typeof annotation === 'object' && Object.keys(annotation).includes('type'),
-  ) || []) as { type: string; value: any }[];
+  ) || []) as { type: string; value: any } & { [key: string]: any }[];
+
+  let progressAnnotation: ProgressAnnotation[] = filteredAnnotations.filter(
+    (annotation) => annotation.type === 'progress',
+  ) as ProgressAnnotation[];
+  progressAnnotation = progressAnnotation.sort((a, b) => b.value - a.value);
 
   const usage: {
     completionTokens: number;
@@ -20,11 +27,18 @@ export const AssistantMessage = memo(({ content, annotations }: AssistantMessage
 
   return (
     <div className="overflow-hidden w-full">
+      <>
+        <div className=" flex gap-2 items-center text-sm text-bolt-elements-textSecondary mb-2">
+          {progressAnnotation.length > 0 && (
+            <Popover trigger={<div className="i-ph:info" />}>{progressAnnotation[0].message}</Popover>
+          )}
           {usage && (
-        <div className="text-sm text-bolt-elements-textSecondary mb-2">
+            <div>
               Tokens: {usage.totalTokens} (prompt: {usage.promptTokens}, completion: {usage.completionTokens})
             </div>
           )}
+        </div>
+      </>
       <Markdown html>{content}</Markdown>
     </div>
   );

app/components/chat/BaseChat.tsx

@@ -9,10 +9,10 @@ import { Menu } from '~/components/sidebar/Menu.client';
 import { IconButton } from '~/components/ui/IconButton';
 import { Workbench } from '~/components/workbench/Workbench.client';
 import { classNames } from '~/utils/classNames';
-import { MODEL_LIST, PROVIDER_LIST, initializeModelList } from '~/utils/constants';
+import { PROVIDER_LIST } from '~/utils/constants';
 import { Messages } from './Messages.client';
 import { SendButton } from './SendButton.client';
-import { APIKeyManager } from './APIKeyManager';
+import { APIKeyManager, getApiKeysFromCookies } from './APIKeyManager';
 import Cookies from 'js-cookie';
 import * as Tooltip from '@radix-ui/react-tooltip';
 
@@ -25,9 +25,13 @@ import GitCloneButton from './GitCloneButton';
 import FilePreview from './FilePreview';
 import { ModelSelector } from '~/components/chat/ModelSelector';
 import { SpeechRecognitionButton } from '~/components/chat/SpeechRecognition';
-import type { IProviderSetting, ProviderInfo } from '~/types/model';
+import type { ProviderInfo } from '~/types/model';
 import { ScreenshotStateManager } from './ScreenshotStateManager';
 import { toast } from 'react-toastify';
+import StarterTemplates from './StarterTemplates';
+import type { ActionAlert } from '~/types/actions';
+import ChatAlert from './ChatAlert';
+import type { ModelInfo } from '~/lib/modules/llm/types';
 
 const TEXTAREA_MIN_HEIGHT = 76;
 
@@ -58,6 +62,8 @@ interface BaseChatProps {
   setUploadedFiles?: (files: File[]) => void;
   imageDataList?: string[];
   setImageDataList?: (dataList: string[]) => void;
+  actionAlert?: ActionAlert;
+  clearAlert?: () => void;
 }
 
 export const BaseChat = React.forwardRef<HTMLDivElement, BaseChatProps>(
@@ -89,76 +95,25 @@ export const BaseChat = React.forwardRef<HTMLDivElement, BaseChatProps>(
       imageDataList = [],
       setImageDataList,
       messages,
+      actionAlert,
+      clearAlert,
     },
     ref,
   ) => {
     const TEXTAREA_MAX_HEIGHT = chatStarted ? 400 : 200;
-    const [apiKeys, setApiKeys] = useState<Record<string, string>>(() => {
+    const [apiKeys, setApiKeys] = useState<Record<string, string>>(getApiKeysFromCookies());
-      const savedKeys = Cookies.get('apiKeys');
+    const [modelList, setModelList] = useState<ModelInfo[]>([]);
-
-      if (savedKeys) {
-        try {
-          return JSON.parse(savedKeys);
-        } catch (error) {
-          console.error('Failed to parse API keys from cookies:', error);
-          return {};
-        }
-      }
-
-      return {};
-    });
-    const [modelList, setModelList] = useState(MODEL_LIST);
     const [isModelSettingsCollapsed, setIsModelSettingsCollapsed] = useState(false);
     const [isListening, setIsListening] = useState(false);
     const [recognition, setRecognition] = useState<SpeechRecognition | null>(null);
     const [transcript, setTranscript] = useState('');
+    const [isModelLoading, setIsModelLoading] = useState<string | undefined>('all');
 
     useEffect(() => {
       console.log(transcript);
     }, [transcript]);
 
     useEffect(() => {
-      // Load API keys from cookies on component mount
-      try {
-        const storedApiKeys = Cookies.get('apiKeys');
-
-        if (storedApiKeys) {
-          const parsedKeys = JSON.parse(storedApiKeys);
-
-          if (typeof parsedKeys === 'object' && parsedKeys !== null) {
-            setApiKeys(parsedKeys);
-          }
-        }
-      } catch (error) {
-        console.error('Error loading API keys from cookies:', error);
-
-        // Clear invalid cookie data
-        Cookies.remove('apiKeys');
-      }
-
-      let providerSettings: Record<string, IProviderSetting> | undefined = undefined;
-
-      try {
-        const savedProviderSettings = Cookies.get('providers');
-
-        if (savedProviderSettings) {
-          const parsedProviderSettings = JSON.parse(savedProviderSettings);
-
-          if (typeof parsedProviderSettings === 'object' && parsedProviderSettings !== null) {
-            providerSettings = parsedProviderSettings;
-          }
-        }
-      } catch (error) {
-        console.error('Error loading Provider Settings from cookies:', error);
-
-        // Clear invalid cookie data
-        Cookies.remove('providers');
-      }
-
-      initializeModelList(providerSettings).then((modelList) => {
-        setModelList(modelList);
-      });
-
       if (typeof window !== 'undefined' && ('SpeechRecognition' in window || 'webkitSpeechRecognition' in window)) {
         const SpeechRecognition = window.SpeechRecognition || window.webkitSpeechRecognition;
         const recognition = new SpeechRecognition();
@@ -190,6 +145,59 @@ export const BaseChat = React.forwardRef<HTMLDivElement, BaseChatProps>(
       }
     }, []);
 
+    useEffect(() => {
+      if (typeof window !== 'undefined') {
+        let parsedApiKeys: Record<string, string> | undefined = {};
+
+        try {
+          parsedApiKeys = getApiKeysFromCookies();
+          setApiKeys(parsedApiKeys);
+        } catch (error) {
+          console.error('Error loading API keys from cookies:', error);
+          Cookies.remove('apiKeys');
+        }
+
+        setIsModelLoading('all');
+        fetch('/api/models')
+          .then((response) => response.json())
+          .then((data) => {
+            const typedData = data as { modelList: ModelInfo[] };
+            setModelList(typedData.modelList);
+          })
+          .catch((error) => {
+            console.error('Error fetching model list:', error);
+          })
+          .finally(() => {
+            setIsModelLoading(undefined);
+          });
+      }
+    }, [providerList, provider]);
+
+    const onApiKeysChange = async (providerName: string, apiKey: string) => {
+      const newApiKeys = { ...apiKeys, [providerName]: apiKey };
+      setApiKeys(newApiKeys);
+      Cookies.set('apiKeys', JSON.stringify(newApiKeys));
+
+      setIsModelLoading(providerName);
+
+      let providerModels: ModelInfo[] = [];
+
+      try {
+        const response = await fetch(`/api/models/${encodeURIComponent(providerName)}`);
+        const data = await response.json();
+        providerModels = (data as { modelList: ModelInfo[] }).modelList;
+      } catch (error) {
+        console.error('Error loading dynamic models for:', providerName, error);
+      }
+
+      // Only update models for the specific provider
+      setModelList((prevModels) => {
+        const otherModels = prevModels.filter((model) => model.provider !== providerName);
+        return [...otherModels, ...providerModels];
+      });
+      setIsModelLoading(undefined);
+    };
+
     const startListening = () => {
       if (recognition) {
         recognition.start();
@@ -313,11 +321,31 @@ export const BaseChat = React.forwardRef<HTMLDivElement, BaseChatProps>(
                 }}
               </ClientOnly>
               <div
-                className={classNames(
+                className={classNames('flex flex-col gap-4 w-full max-w-chat mx-auto z-prompt mb-6', {
-                  'bg-bolt-elements-background-depth-2 p-3 rounded-lg border border-bolt-elements-borderColor relative w-full max-w-chat mx-auto z-prompt mb-6',
-                  {
                   'sticky bottom-2': chatStarted,
-                  },
+                })}
+              >
+                <div className="bg-bolt-elements-background-depth-2">
+                  {actionAlert && (
+                    <ChatAlert
+                      alert={actionAlert}
+                      clearAlert={() => clearAlert?.()}
+                      postMessage={(message) => {
+                        sendMessage?.({} as any, message);
+                        clearAlert?.();
+                      }}
+                    />
+                  )}
+                </div>
+                <div
+                  className={classNames(
+                    'bg-bolt-elements-background-depth-2 p-3 rounded-lg border border-bolt-elements-borderColor relative w-full max-w-chat mx-auto z-prompt',
+
+                    /*
+                     * {
+                     *   'sticky bottom-2': chatStarted,
+                     * },
+                     */
                   )}
                 >
                   <svg className={classNames(styles.PromptEffectContainer)}>
@@ -347,6 +375,8 @@ export const BaseChat = React.forwardRef<HTMLDivElement, BaseChatProps>(
                     <rect className={classNames(styles.PromptShine)} x="48" y="24" width="70" height="1"></rect>
                   </svg>
                   <div>
+                    <ClientOnly>
+                      {() => (
                         <div className={isModelSettingsCollapsed ? 'hidden' : ''}>
                           <ModelSelector
                             key={provider?.name + ':' + modelList.length}
@@ -355,21 +385,22 @@ export const BaseChat = React.forwardRef<HTMLDivElement, BaseChatProps>(
                             modelList={modelList}
                             provider={provider}
                             setProvider={setProvider}
-                      providerList={providerList || PROVIDER_LIST}
+                            providerList={providerList || (PROVIDER_LIST as ProviderInfo[])}
                             apiKeys={apiKeys}
+                            modelLoading={isModelLoading}
                           />
                           {(providerList || []).length > 0 && provider && (
                             <APIKeyManager
                               provider={provider}
                               apiKey={apiKeys[provider.name] || ''}
                               setApiKey={(key) => {
-                          const newApiKeys = { ...apiKeys, [provider.name]: key };
+                                onApiKeysChange(provider.name, key);
-                          setApiKeys(newApiKeys);
-                          Cookies.set('apiKeys', JSON.stringify(newApiKeys));
                               }}
                             />
                           )}
                         </div>
+                      )}
+                    </ClientOnly>
                   </div>
                   <FilePreview
                     files={uploadedFiles}
@@ -528,15 +559,17 @@ export const BaseChat = React.forwardRef<HTMLDivElement, BaseChatProps>(
                       </div>
                       {input.length > 3 ? (
                         <div className="text-xs text-bolt-elements-textTertiary">
-                        Use <kbd className="kdb px-1.5 py-0.5 rounded bg-bolt-elements-background-depth-2">Shift</kbd> +{' '}
+                          Use <kbd className="kdb px-1.5 py-0.5 rounded bg-bolt-elements-background-depth-2">Shift</kbd>{' '}
-                        <kbd className="kdb px-1.5 py-0.5 rounded bg-bolt-elements-background-depth-2">Return</kbd> a
+                          + <kbd className="kdb px-1.5 py-0.5 rounded bg-bolt-elements-background-depth-2">Return</kbd>{' '}
-                        new line
+                          a new line
                         </div>
                       ) : null}
                     </div>
                   </div>
                 </div>
               </div>
+            </div>
+            <div className="flex flex-col justify-center gap-5">
               {!chatStarted && (
                 <div className="flex justify-center gap-2">
                   {ImportButtons(importChat)}
@@ -552,6 +585,8 @@ export const BaseChat = React.forwardRef<HTMLDivElement, BaseChatProps>(
 
                   handleSendMessage?.(event, messageInput);
                 })}
+              {!chatStarted && <StarterTemplates />}
+            </div>
           </div>
           <ClientOnly>{() => <Workbench chatStarted={chatStarted} isStreaming={isStreaming} />}</ClientOnly>
         </div>

app/components/chat/Chat.client.tsx

@@ -21,6 +21,8 @@ import { debounce } from '~/utils/debounce';
 import { useSettings } from '~/lib/hooks/useSettings';
 import type { ProviderInfo } from '~/types/model';
 import { useSearchParams } from '@remix-run/react';
+import { createSampler } from '~/utils/sampler';
+import { getTemplates, selectStarterTemplate } from '~/utils/selectStarterTemplate';
 
 const toastAnimation = cssTransition({
   enter: 'animated fadeInRight',
@@ -34,6 +36,9 @@ export function Chat() {
 
   const { ready, initialMessages, storeMessageHistory, importChat, exportChat } = useChatHistory();
   const title = useStore(description);
+  useEffect(() => {
+    workbenchStore.setReloadedMessages(initialMessages.map((m) => m.id));
+  }, [initialMessages]);
 
   return (
     <>
@@ -77,6 +82,24 @@ export function Chat() {
   );
 }
 
+const processSampledMessages = createSampler(
+  (options: {
+    messages: Message[];
+    initialMessages: Message[];
+    isLoading: boolean;
+    parseMessages: (messages: Message[], isLoading: boolean) => void;
+    storeMessageHistory: (messages: Message[]) => Promise<void>;
+  }) => {
+    const { messages, initialMessages, isLoading, parseMessages, storeMessageHistory } = options;
+    parseMessages(messages, isLoading);
+
+    if (messages.length > initialMessages.length) {
+      storeMessageHistory(messages).catch((error) => toast.error(error.message));
+    }
+  },
+  50,
+);
+
 interface ChatProps {
   initialMessages: Message[];
   storeMessageHistory: (messages: Message[]) => Promise<void>;
@@ -94,8 +117,10 @@ export const ChatImpl = memo(
     const [uploadedFiles, setUploadedFiles] = useState<File[]>([]); // Move here
     const [imageDataList, setImageDataList] = useState<string[]>([]); // Move here
     const [searchParams, setSearchParams] = useSearchParams();
+    const [fakeLoading, setFakeLoading] = useState(false);
     const files = useStore(workbenchStore.files);
-    const { activeProviders, promptId } = useSettings();
+    const actionAlert = useStore(workbenchStore.alert);
+    const { activeProviders, promptId, autoSelectTemplate, contextOptimizationEnabled } = useSettings();
 
     const [model, setModel] = useState(() => {
       const savedModel = Cookies.get('selectedModel');
@@ -103,7 +128,7 @@ export const ChatImpl = memo(
     });
     const [provider, setProvider] = useState(() => {
       const savedProvider = Cookies.get('selectedProvider');
-      return PROVIDER_LIST.find((p) => p.name === savedProvider) || DEFAULT_PROVIDER;
+      return (PROVIDER_LIST.find((p) => p.name === savedProvider) || DEFAULT_PROVIDER) as ProviderInfo;
     });
 
     const { showChat } = useStore(chatStore);
@@ -112,18 +137,20 @@ export const ChatImpl = memo(
 
     const [apiKeys, setApiKeys] = useState<Record<string, string>>({});
 
-    const { messages, isLoading, input, handleInputChange, setInput, stop, append } = useChat({
+    const { messages, isLoading, input, handleInputChange, setInput, stop, append, setMessages, reload, error } =
+      useChat({
         api: '/api/chat',
         body: {
           apiKeys,
           files,
           promptId,
+          contextOptimization: contextOptimizationEnabled,
         },
         sendExtraMessageFields: true,
-      onError: (error) => {
+        onError: (e) => {
-        logger.error('Request failed\n\n', error);
+          logger.error('Request failed\n\n', e, error);
           toast.error(
-          'There was an error processing your request: ' + (error.message ? error.message : 'No details were returned'),
+            'There was an error processing your request: ' + (e.message ? e.message : 'No details were returned'),
           );
         },
         onFinish: (message, response) => {
@@ -142,7 +169,8 @@ export const ChatImpl = memo(
       });
     useEffect(() => {
       const prompt = searchParams.get('prompt');
-      console.log(prompt, searchParams, model, provider);
+
+      // console.log(prompt, searchParams, model, provider);
 
       if (prompt) {
         setSearchParams({});
@@ -169,11 +197,13 @@ export const ChatImpl = memo(
     }, []);
 
     useEffect(() => {
-      parseMessages(messages, isLoading);
+      processSampledMessages({
-
+        messages,
-      if (messages.length > initialMessages.length) {
+        initialMessages,
-        storeMessageHistory(messages).catch((error) => toast.error(error.message));
+        isLoading,
-      }
+        parseMessages,
+        storeMessageHistory,
+      });
     }, [messages, isLoading, parseMessages]);
 
     const scrollTextArea = () => {
@@ -234,12 +264,128 @@ export const ChatImpl = memo(
        */
       await workbenchStore.saveAllFiles();
 
+      if (error != null) {
+        setMessages(messages.slice(0, -1));
+      }
+
       const fileModifications = workbenchStore.getFileModifcations();
 
       chatStore.setKey('aborted', false);
 
       runAnimation();
 
+      if (!chatStarted && _input && autoSelectTemplate) {
+        setFakeLoading(true);
+        setMessages([
+          {
+            id: `${new Date().getTime()}`,
+            role: 'user',
+            content: [
+              {
+                type: 'text',
+                text: `[Model: ${model}]\n\n[Provider: ${provider.name}]\n\n${_input}`,
+              },
+              ...imageDataList.map((imageData) => ({
+                type: 'image',
+                image: imageData,
+              })),
+            ] as any, // Type assertion to bypass compiler check
+          },
+        ]);
+
+        // reload();
+
+        const { template, title } = await selectStarterTemplate({
+          message: _input,
+          model,
+          provider,
+        });
+
+        if (template !== 'blank') {
+          const temResp = await getTemplates(template, title).catch((e) => {
+            if (e.message.includes('rate limit')) {
+              toast.warning('Rate limit exceeded. Skipping starter template\n Continuing with blank template');
+            } else {
+              toast.warning('Failed to import starter template\n Continuing with blank template');
+            }
+
+            return null;
+          });
+
+          if (temResp) {
+            const { assistantMessage, userMessage } = temResp;
+
+            setMessages([
+              {
+                id: `${new Date().getTime()}`,
+                role: 'user',
+                content: _input,
+
+                // annotations: ['hidden'],
+              },
+              {
+                id: `${new Date().getTime()}`,
+                role: 'assistant',
+                content: assistantMessage,
+              },
+              {
+                id: `${new Date().getTime()}`,
+                role: 'user',
+                content: `[Model: ${model}]\n\n[Provider: ${provider.name}]\n\n${userMessage}`,
+                annotations: ['hidden'],
+              },
+            ]);
+
+            reload();
+            setFakeLoading(false);
+
+            return;
+          } else {
+            setMessages([
+              {
+                id: `${new Date().getTime()}`,
+                role: 'user',
+                content: [
+                  {
+                    type: 'text',
+                    text: `[Model: ${model}]\n\n[Provider: ${provider.name}]\n\n${_input}`,
+                  },
+                  ...imageDataList.map((imageData) => ({
+                    type: 'image',
+                    image: imageData,
+                  })),
+                ] as any, // Type assertion to bypass compiler check
+              },
+            ]);
+            reload();
+            setFakeLoading(false);
+
+            return;
+          }
+        } else {
+          setMessages([
+            {
+              id: `${new Date().getTime()}`,
+              role: 'user',
+              content: [
+                {
+                  type: 'text',
+                  text: `[Model: ${model}]\n\n[Provider: ${provider.name}]\n\n${_input}`,
+                },
+                ...imageDataList.map((imageData) => ({
+                  type: 'image',
+                  image: imageData,
+                })),
+              ] as any, // Type assertion to bypass compiler check
+            },
+          ]);
+          reload();
+          setFakeLoading(false);
+
+          return;
+        }
+      }
+
       if (fileModifications !== undefined) {
         /**
          * If we have file modifications we append a new user message manually since we have to prefix
@@ -342,7 +488,7 @@ export const ChatImpl = memo(
         input={input}
         showChat={showChat}
         chatStarted={chatStarted}
-        isStreaming={isLoading}
+        isStreaming={isLoading || fakeLoading}
         enhancingPrompt={enhancingPrompt}
         promptEnhanced={promptEnhanced}
         sendMessage={sendMessage}
@@ -387,6 +533,8 @@ export const ChatImpl = memo(
         setUploadedFiles={setUploadedFiles}
         imageDataList={imageDataList}
         setImageDataList={setImageDataList}
+        actionAlert={actionAlert}
+        clearAlert={() => workbenchStore.clearAlert()}
       />
     );
   },

app/components/chat/ChatAlert.tsx

@@ -0,0 +1,108 @@
+import { AnimatePresence, motion } from 'framer-motion';
+import type { ActionAlert } from '~/types/actions';
+import { classNames } from '~/utils/classNames';
+
+interface Props {
+  alert: ActionAlert;
+  clearAlert: () => void;
+  postMessage: (message: string) => void;
+}
+
+export default function ChatAlert({ alert, clearAlert, postMessage }: Props) {
+  const { description, content, source } = alert;
+
+  const isPreview = source === 'preview';
+  const title = isPreview ? 'Preview Error' : 'Terminal Error';
+  const message = isPreview
+    ? 'We encountered an error while running the preview. Would you like Bolt to analyze and help resolve this issue?'
+    : 'We encountered an error while running terminal commands. Would you like Bolt to analyze and help resolve this issue?';
+
+  return (
+    <AnimatePresence>
+      <motion.div
+        initial={{ opacity: 0, y: -20 }}
+        animate={{ opacity: 1, y: 0 }}
+        exit={{ opacity: 0, y: -20 }}
+        transition={{ duration: 0.3 }}
+        className={`rounded-lg border border-bolt-elements-borderColor bg-bolt-elements-background-depth-2 p-4`}
+      >
+        <div className="flex items-start">
+          {/* Icon */}
+          <motion.div
+            className="flex-shrink-0"
+            initial={{ scale: 0 }}
+            animate={{ scale: 1 }}
+            transition={{ delay: 0.2 }}
+          >
+            <div className={`i-ph:warning-duotone text-xl text-bolt-elements-button-danger-text`}></div>
+          </motion.div>
+          {/* Content */}
+          <div className="ml-3 flex-1">
+            <motion.h3
+              initial={{ opacity: 0 }}
+              animate={{ opacity: 1 }}
+              transition={{ delay: 0.1 }}
+              className={`text-sm font-medium text-bolt-elements-textPrimary`}
+            >
+              {title}
+            </motion.h3>
+            <motion.div
+              initial={{ opacity: 0 }}
+              animate={{ opacity: 1 }}
+              transition={{ delay: 0.2 }}
+              className={`mt-2 text-sm text-bolt-elements-textSecondary`}
+            >
+              <p>{message}</p>
+              {description && (
+                <div className="text-xs text-bolt-elements-textSecondary p-2 bg-bolt-elements-background-depth-3 rounded mt-4 mb-4">
+                  Error: {description}
+                </div>
+              )}
+            </motion.div>
+
+            {/* Actions */}
+            <motion.div
+              className="mt-4"
+              initial={{ opacity: 0, y: 10 }}
+              animate={{ opacity: 1, y: 0 }}
+              transition={{ delay: 0.3 }}
+            >
+              <div className={classNames(' flex gap-2')}>
+                <button
+                  onClick={() =>
+                    postMessage(
+                      `*Fix this ${isPreview ? 'preview' : 'terminal'} error* \n\`\`\`${isPreview ? 'js' : 'sh'}\n${content}\n\`\`\`\n`,
+                    )
+                  }
+                  className={classNames(
+                    `px-2 py-1.5 rounded-md text-sm font-medium`,
+                    'bg-bolt-elements-button-primary-background',
+                    'hover:bg-bolt-elements-button-primary-backgroundHover',
+                    'focus:outline-none focus:ring-2 focus:ring-offset-2 focus:ring-bolt-elements-button-danger-background',
+                    'text-bolt-elements-button-primary-text',
+                    'flex items-center gap-1.5',
+                  )}
+                >
+                  <div className="i-ph:chat-circle-duotone"></div>
+                  Ask Bolt
+                </button>
+                <button
+                  onClick={clearAlert}
+                  className={classNames(
+                    `px-2 py-1.5 rounded-md text-sm font-medium`,
+                    'bg-bolt-elements-button-secondary-background',
+                    'hover:bg-bolt-elements-button-secondary-backgroundHover',
+                    'focus:outline-none focus:ring-2 focus:ring-offset-2 focus:ring-bolt-elements-button-secondary-background',
+                    'text-bolt-elements-button-secondary-text',
+                  )}
+                >
+                  Dismiss
+                </button>
+              </div>
+            </motion.div>
+          </div>
+        </div>
+      </motion.div>
+    </AnimatePresence>
+  );
+}

app/components/chat/GitCloneButton.tsx

@@ -3,6 +3,9 @@ import { useGit } from '~/lib/hooks/useGit';
 import type { Message } from 'ai';
 import { detectProjectCommands, createCommandsMessage } from '~/utils/projectCommands';
 import { generateId } from '~/utils/fileUtils';
+import { useState } from 'react';
+import { toast } from 'react-toastify';
+import { LoadingOverlay } from '~/components/ui/LoadingOverlay';
 
 const IGNORE_PATTERNS = [
   'node_modules/**',
@@ -37,6 +40,8 @@ interface GitCloneButtonProps {
 
 export default function GitCloneButton({ importChat }: GitCloneButtonProps) {
   const { ready, gitClone } = useGit();
+  const [loading, setLoading] = useState(false);
+
   const onClick = async (_e: any) => {
     if (!ready) {
       return;
@@ -45,6 +50,9 @@ export default function GitCloneButton({ importChat }: GitCloneButtonProps) {
     const repoUrl = prompt('Enter the Git url');
 
     if (repoUrl) {
+      setLoading(true);
+
+      try {
         const { workdir, data } = await gitClone(repoUrl);
 
         if (importChat) {
@@ -53,22 +61,20 @@ export default function GitCloneButton({ importChat }: GitCloneButtonProps) {
 
           const textDecoder = new TextDecoder('utf-8');
 
-        // Convert files to common format for command detection
           const fileContents = filePaths
             .map((filePath) => {
               const { data: content, encoding } = data[filePath];
               return {
                 path: filePath,
-              content: encoding === 'utf8' ? content : content instanceof Uint8Array ? textDecoder.decode(content) : '',
+                content:
+                  encoding === 'utf8' ? content : content instanceof Uint8Array ? textDecoder.decode(content) : '',
               };
             })
             .filter((f) => f.content);
 
-        // Detect and create commands message
           const commands = await detectProjectCommands(fileContents);
           const commandsMessage = createCommandsMessage(commands);
 
-        // Create files message
           const filesMessage: Message = {
             role: 'assistant',
             content: `Cloning the repo ${repoUrl} into ${workdir}
@@ -94,10 +100,17 @@ ${file.content}
 
           await importChat(`Git Project:${repoUrl.split('/').slice(-1)[0]}`, messages);
         }
+      } catch (error) {
+        console.error('Error during import:', error);
+        toast.error('Failed to import repository');
+      } finally {
+        setLoading(false);
+      }
     }
   };
 
   return (
+    <>
       <button
         onClick={onClick}
         title="Clone a Git Repo"
@@ -106,5 +119,7 @@ ${file.content}
         <span className="i-ph:git-branch" />
         Clone a Git Repo
       </button>
+      {loading && <LoadingOverlay message="Please wait while we clone the repository..." />}
+    </>
   );
 }

app/components/chat/ImportFolderButton.tsx

@@ -16,35 +16,40 @@ export const ImportFolderButton: React.FC<ImportFolderButtonProps> = ({ classNam
   const handleFileChange = async (e: React.ChangeEvent<HTMLInputElement>) => {
     const allFiles = Array.from(e.target.files || []);
 
-    if (allFiles.length > MAX_FILES) {
+    const filteredFiles = allFiles.filter((file) => {
-      const error = new Error(`Too many files: ${allFiles.length}`);
+      const path = file.webkitRelativePath.split('/').slice(1).join('/');
-      logStore.logError('File import failed - too many files', error, {
+      const include = shouldIncludeFile(path);
-        fileCount: allFiles.length,
+
-        maxFiles: MAX_FILES,
+      return include;
     });
-      toast.error(
-        `This folder contains ${allFiles.length.toLocaleString()} files. This product is not yet optimized for very large projects. Please select a folder with fewer than ${MAX_FILES.toLocaleString()} files.`,
-      );
-
-      return;
-    }
-
-    const folderName = allFiles[0]?.webkitRelativePath.split('/')[0] || 'Unknown Folder';
-    setIsLoading(true);
-
-    const loadingToast = toast.loading(`Importing ${folderName}...`);
-
-    try {
-      const filteredFiles = allFiles.filter((file) => shouldIncludeFile(file.webkitRelativePath));
 
     if (filteredFiles.length === 0) {
       const error = new Error('No valid files found');
-        logStore.logError('File import failed - no valid files', error, { folderName });
+      logStore.logError('File import failed - no valid files', error, { folderName: 'Unknown Folder' });
       toast.error('No files found in the selected folder');
 
       return;
     }
 
+    if (filteredFiles.length > MAX_FILES) {
+      const error = new Error(`Too many files: ${filteredFiles.length}`);
+      logStore.logError('File import failed - too many files', error, {
+        fileCount: filteredFiles.length,
+        maxFiles: MAX_FILES,
+      });
+      toast.error(
+        `This folder contains ${filteredFiles.length.toLocaleString()} files. This product is not yet optimized for very large projects. Please select a folder with fewer than ${MAX_FILES.toLocaleString()} files.`,
+      );
+
+      return;
+    }
+
+    const folderName = filteredFiles[0]?.webkitRelativePath.split('/')[0] || 'Unknown Folder';
+    setIsLoading(true);
+
+    const loadingToast = toast.loading(`Importing ${folderName}...`);
+
+    try {
       const fileChecks = await Promise.all(
         filteredFiles.map(async (file) => ({
           file,

app/components/chat/Messages.client.tsx

@@ -1,5 +1,5 @@
 import type { Message } from 'ai';
-import React from 'react';
+import React, { Fragment } from 'react';
 import { classNames } from '~/utils/classNames';
 import { AssistantMessage } from './AssistantMessage';
 import { UserMessage } from './UserMessage';
@@ -44,10 +44,15 @@ export const Messages = React.forwardRef<HTMLDivElement, MessagesProps>((props:
     <div id={id} ref={ref} className={props.className}>
       {messages.length > 0
         ? messages.map((message, index) => {
-            const { role, content, id: messageId } = message;
+            const { role, content, id: messageId, annotations } = message;
             const isUserMessage = role === 'user';
             const isFirst = index === 0;
             const isLast = index === messages.length - 1;
+            const isHidden = annotations?.includes('hidden');
+
+            if (isHidden) {
+              return <Fragment key={index} />;
+            }
 
             return (
               <div

app/components/chat/ModelSelector.tsx

@@ -1,6 +1,6 @@
 import type { ProviderInfo } from '~/types/model';
-import type { ModelInfo } from '~/utils/types';
 import { useEffect } from 'react';
+import type { ModelInfo } from '~/lib/modules/llm/types';
 
 interface ModelSelectorProps {
   model?: string;
@@ -10,6 +10,7 @@ interface ModelSelectorProps {
   modelList: ModelInfo[];
   providerList: ProviderInfo[];
   apiKeys: Record<string, string>;
+  modelLoading?: string;
 }
 
 export const ModelSelector = ({
@@ -19,6 +20,7 @@ export const ModelSelector = ({
   setProvider,
   modelList,
   providerList,
+  modelLoading,
 }: ModelSelectorProps) => {
   // Load enabled providers from cookies
 
@@ -83,14 +85,21 @@ export const ModelSelector = ({
         value={model}
         onChange={(e) => setModel?.(e.target.value)}
         className="flex-1 p-2 rounded-lg border border-bolt-elements-borderColor bg-bolt-elements-prompt-background text-bolt-elements-textPrimary focus:outline-none focus:ring-2 focus:ring-bolt-elements-focus transition-all lg:max-w-[70%]"
+        disabled={modelLoading === 'all' || modelLoading === provider?.name}
       >
-        {[...modelList]
+        {modelLoading == 'all' || modelLoading == provider?.name ? (
+          <option key={0} value="">
+            Loading...
+          </option>
+        ) : (
+          [...modelList]
             .filter((e) => e.provider == provider?.name && e.name)
             .map((modelOption, index) => (
               <option key={index} value={modelOption.name}>
                 {modelOption.label}
               </option>
-          ))}
+            ))
+        )}
       </select>
     </div>
   );

app/components/chat/StarterTemplates.tsx

@@ -0,0 +1,37 @@
+import React from 'react';
+import type { Template } from '~/types/template';
+import { STARTER_TEMPLATES } from '~/utils/constants';
+
+interface FrameworkLinkProps {
+  template: Template;
+}
+
+const FrameworkLink: React.FC<FrameworkLinkProps> = ({ template }) => (
+  <a
+    href={`/git?url=https://github.com/${template.githubRepo}.git`}
+    data-state="closed"
+    data-discover="true"
+    className="items-center justify-center "
+  >
+    <div
+      className={`inline-block ${template.icon} w-8 h-8 text-4xl transition-theme opacity-25 hover:opacity-75 transition-all`}
+    />
+  </a>
+);
+
+const StarterTemplates: React.FC = () => {
+  return (
+    <div className="flex flex-col items-center gap-4">
+      <span className="text-sm text-gray-500">or start a blank app with your favorite stack</span>
+      <div className="flex justify-center">
+        <div className="flex w-70 flex-wrap items-center justify-center gap-4">
+          {STARTER_TEMPLATES.map((template) => (
+            <FrameworkLink key={template.name} template={template} />
+          ))}
+        </div>
+      </div>
+    </div>
+  );
+};
+
+export default StarterTemplates;

app/components/chat/chatExportAndImport/ImportButtons.tsx

@@ -2,6 +2,11 @@ import type { Message } from 'ai';
 import { toast } from 'react-toastify';
 import { ImportFolderButton } from '~/components/chat/ImportFolderButton';
 
+type ChatData = {
+  messages?: Message[]; // Standard Bolt format
+  description?: string; // Optional description
+};
+
 export function ImportButtons(importChat: ((description: string, messages: Message[]) => Promise<void>) | undefined) {
   return (
     <div className="flex flex-col items-center justify-center w-auto">
@@ -20,14 +25,17 @@ export function ImportButtons(importChat: ((description: string, messages: Messa
               reader.onload = async (e) => {
                 try {
                   const content = e.target?.result as string;
-                  const data = JSON.parse(content);
+                  const data = JSON.parse(content) as ChatData;
 
-                  if (!Array.isArray(data.messages)) {
+                  // Standard format
-                    toast.error('Invalid chat file format');
+                  if (Array.isArray(data.messages)) {
+                    await importChat(data.description || 'Imported Chat', data.messages);
+                    toast.success('Chat imported successfully');
+
+                    return;
                   }
 
-                  await importChat(data.description, data.messages);
+                  toast.error('Invalid chat file format');
-                  toast.success('Chat imported successfully');
                 } catch (error: unknown) {
                   if (error instanceof Error) {
                     toast.error('Failed to parse chat file: ' + error.message);

app/components/git/GitUrlImport.client.tsx

@@ -49,29 +49,28 @@ export function GitUrlImport() {
 
     if (repoUrl) {
       const ig = ignore().add(IGNORE_PATTERNS);
+
+      try {
         const { workdir, data } = await gitClone(repoUrl);
 
         if (importChat) {
           const filePaths = Object.keys(data).filter((filePath) => !ig.ignores(filePath));
-
           const textDecoder = new TextDecoder('utf-8');
 
-        // Convert files to common format for command detection
           const fileContents = filePaths
             .map((filePath) => {
               const { data: content, encoding } = data[filePath];
               return {
                 path: filePath,
-              content: encoding === 'utf8' ? content : content instanceof Uint8Array ? textDecoder.decode(content) : '',
+                content:
+                  encoding === 'utf8' ? content : content instanceof Uint8Array ? textDecoder.decode(content) : '',
               };
             })
             .filter((f) => f.content);
 
-        // Detect and create commands message
           const commands = await detectProjectCommands(fileContents);
           const commandsMessage = createCommandsMessage(commands);
 
-        // Create files message
           const filesMessage: Message = {
             role: 'assistant',
             content: `Cloning the repo ${repoUrl} into ${workdir}
@@ -97,6 +96,14 @@ ${file.content}
 
           await importChat(`Git Project:${repoUrl.split('/').slice(-1)[0]}`, messages);
         }
+      } catch (error) {
+        console.error('Error during import:', error);
+        toast.error('Failed to import repository');
+        setLoading(false);
+        window.location.href = '/';
+
+        return;
+      }
     }
   };
 

app/components/settings/SettingsWindow.tsx

@@ -5,27 +5,27 @@ import { classNames } from '~/utils/classNames';
 import { DialogTitle, dialogVariants, dialogBackdropVariants } from '~/components/ui/Dialog';
 import { IconButton } from '~/components/ui/IconButton';
 import styles from './Settings.module.scss';
-import ChatHistoryTab from './chat-history/ChatHistoryTab';
 import ProvidersTab from './providers/ProvidersTab';
 import { useSettings } from '~/lib/hooks/useSettings';
 import FeaturesTab from './features/FeaturesTab';
 import DebugTab from './debug/DebugTab';
 import EventLogsTab from './event-logs/EventLogsTab';
 import ConnectionsTab from './connections/ConnectionsTab';
+import DataTab from './data/DataTab';
 
 interface SettingsProps {
   open: boolean;
   onClose: () => void;
 }
 
-type TabType = 'chat-history' | 'providers' | 'features' | 'debug' | 'event-logs' | 'connection';
+type TabType = 'data' | 'providers' | 'features' | 'debug' | 'event-logs' | 'connection';
 
 export const SettingsWindow = ({ open, onClose }: SettingsProps) => {
   const { debug, eventLogs } = useSettings();
-  const [activeTab, setActiveTab] = useState<TabType>('chat-history');
+  const [activeTab, setActiveTab] = useState<TabType>('data');
 
   const tabs: { id: TabType; label: string; icon: string; component?: ReactElement }[] = [
-    { id: 'chat-history', label: 'Chat History', icon: 'i-ph:book', component: <ChatHistoryTab /> },
+    { id: 'data', label: 'Data', icon: 'i-ph:database', component: <DataTab /> },
     { id: 'providers', label: 'Providers', icon: 'i-ph:key', component: <ProvidersTab /> },
     { id: 'connection', label: 'Connection', icon: 'i-ph:link', component: <ConnectionsTab /> },
     { id: 'features', label: 'Features', icon: 'i-ph:star', component: <FeaturesTab /> },
@@ -63,7 +63,7 @@ export const SettingsWindow = ({ open, onClose }: SettingsProps) => {
             variants={dialogBackdropVariants}
           />
         </RadixDialog.Overlay>
-        <RadixDialog.Content asChild>
+        <RadixDialog.Content aria-describedby={undefined} asChild>
           <motion.div
             className="fixed top-[50%] left-[50%] z-max h-[85vh] w-[90vw] max-w-[900px] translate-x-[-50%] translate-y-[-50%] border border-bolt-elements-borderColor rounded-lg shadow-lg focus:outline-none overflow-hidden"
             initial="closed"

app/components/settings/chat-history/ChatHistoryTab.tsx

@@ -1,119 +0,0 @@
-import { useNavigate } from '@remix-run/react';
-import React, { useState } from 'react';
-import { toast } from 'react-toastify';
-import { db, deleteById, getAll } from '~/lib/persistence';
-import { classNames } from '~/utils/classNames';
-import styles from '~/components/settings/Settings.module.scss';
-import { logStore } from '~/lib/stores/logs'; // Import logStore for event logging
-
-export default function ChatHistoryTab() {
-  const navigate = useNavigate();
-  const [isDeleting, setIsDeleting] = useState(false);
-  const downloadAsJson = (data: any, filename: string) => {
-    const blob = new Blob([JSON.stringify(data, null, 2)], { type: 'application/json' });
-    const url = URL.createObjectURL(blob);
-    const link = document.createElement('a');
-    link.href = url;
-    link.download = filename;
-    document.body.appendChild(link);
-    link.click();
-    document.body.removeChild(link);
-    URL.revokeObjectURL(url);
-  };
-
-  const handleDeleteAllChats = async () => {
-    const confirmDelete = window.confirm('Are you sure you want to delete all chats? This action cannot be undone.');
-
-    if (!confirmDelete) {
-      return; // Exit if the user cancels
-    }
-
-    if (!db) {
-      const error = new Error('Database is not available');
-      logStore.logError('Failed to delete chats - DB unavailable', error);
-      toast.error('Database is not available');
-
-      return;
-    }
-
-    try {
-      setIsDeleting(true);
-
-      const allChats = await getAll(db);
-      await Promise.all(allChats.map((chat) => deleteById(db!, chat.id)));
-      logStore.logSystem('All chats deleted successfully', { count: allChats.length });
-      toast.success('All chats deleted successfully');
-      navigate('/', { replace: true });
-    } catch (error) {
-      logStore.logError('Failed to delete chats', error);
-      toast.error('Failed to delete chats');
-      console.error(error);
-    } finally {
-      setIsDeleting(false);
-    }
-  };
-
-  const handleExportAllChats = async () => {
-    if (!db) {
-      const error = new Error('Database is not available');
-      logStore.logError('Failed to export chats - DB unavailable', error);
-      toast.error('Database is not available');
-
-      return;
-    }
-
-    try {
-      const allChats = await getAll(db);
-      const exportData = {
-        chats: allChats,
-        exportDate: new Date().toISOString(),
-      };
-
-      downloadAsJson(exportData, `all-chats-${new Date().toISOString()}.json`);
-      logStore.logSystem('Chats exported successfully', { count: allChats.length });
-      toast.success('Chats exported successfully');
-    } catch (error) {
-      logStore.logError('Failed to export chats', error);
-      toast.error('Failed to export chats');
-      console.error(error);
-    }
-  };
-
-  return (
-    <>
-      <div className="p-4">
-        <h3 className="text-lg font-medium text-bolt-elements-textPrimary mb-4">Chat History</h3>
-        <button
-          onClick={handleExportAllChats}
-          className={classNames(
-            'bg-bolt-elements-button-primary-background',
-            'rounded-lg px-4 py-2 mb-4 transition-colors duration-200',
-            'hover:bg-bolt-elements-button-primary-backgroundHover',
-            'text-bolt-elements-button-primary-text',
-          )}
-        >
-          Export All Chats
-        </button>
-
-        <div
-          className={classNames('text-bolt-elements-textPrimary rounded-lg py-4 mb-4', styles['settings-danger-area'])}
-        >
-          <h4 className="font-semibold">Danger Area</h4>
-          <p className="mb-2">This action cannot be undone!</p>
-          <button
-            onClick={handleDeleteAllChats}
-            disabled={isDeleting}
-            className={classNames(
-              'bg-bolt-elements-button-danger-background',
-              'rounded-lg px-4 py-2 transition-colors duration-200',
-              isDeleting ? 'opacity-50 cursor-not-allowed' : 'hover:bg-bolt-elements-button-danger-backgroundHover',
-              'text-bolt-elements-button-danger-text',
-            )}
-          >
-            {isDeleting ? 'Deleting...' : 'Delete All Chats'}
-          </button>
-        </div>
-      </div>
-    </>
-  );
-}

app/components/settings/data/DataTab.tsx

@@ -0,0 +1,388 @@
+import React, { useState } from 'react';
+import { useNavigate } from '@remix-run/react';
+import Cookies from 'js-cookie';
+import { toast } from 'react-toastify';
+import { db, deleteById, getAll, setMessages } from '~/lib/persistence';
+import { logStore } from '~/lib/stores/logs';
+import { classNames } from '~/utils/classNames';
+import type { Message } from 'ai';
+
+// List of supported providers that can have API keys
+const API_KEY_PROVIDERS = [
+  'Anthropic',
+  'OpenAI',
+  'Google',
+  'Groq',
+  'HuggingFace',
+  'OpenRouter',
+  'Deepseek',
+  'Mistral',
+  'OpenAILike',
+  'Together',
+  'xAI',
+  'Perplexity',
+  'Cohere',
+  'AzureOpenAI',
+  'AmazonBedrock',
+] as const;
+
+interface ApiKeys {
+  [key: string]: string;
+}
+
+export default function DataTab() {
+  const navigate = useNavigate();
+  const [isDeleting, setIsDeleting] = useState(false);
+
+  const downloadAsJson = (data: any, filename: string) => {
+    const blob = new Blob([JSON.stringify(data, null, 2)], { type: 'application/json' });
+    const url = URL.createObjectURL(blob);
+    const link = document.createElement('a');
+    link.href = url;
+    link.download = filename;
+    document.body.appendChild(link);
+    link.click();
+    document.body.removeChild(link);
+    URL.revokeObjectURL(url);
+  };
+
+  const handleExportAllChats = async () => {
+    if (!db) {
+      const error = new Error('Database is not available');
+      logStore.logError('Failed to export chats - DB unavailable', error);
+      toast.error('Database is not available');
+
+      return;
+    }
+
+    try {
+      const allChats = await getAll(db);
+      const exportData = {
+        chats: allChats,
+        exportDate: new Date().toISOString(),
+      };
+
+      downloadAsJson(exportData, `all-chats-${new Date().toISOString()}.json`);
+      logStore.logSystem('Chats exported successfully', { count: allChats.length });
+      toast.success('Chats exported successfully');
+    } catch (error) {
+      logStore.logError('Failed to export chats', error);
+      toast.error('Failed to export chats');
+      console.error(error);
+    }
+  };
+
+  const handleDeleteAllChats = async () => {
+    const confirmDelete = window.confirm('Are you sure you want to delete all chats? This action cannot be undone.');
+
+    if (!confirmDelete) {
+      return;
+    }
+
+    if (!db) {
+      const error = new Error('Database is not available');
+      logStore.logError('Failed to delete chats - DB unavailable', error);
+      toast.error('Database is not available');
+
+      return;
+    }
+
+    try {
+      setIsDeleting(true);
+
+      const allChats = await getAll(db);
+      await Promise.all(allChats.map((chat) => deleteById(db!, chat.id)));
+      logStore.logSystem('All chats deleted successfully', { count: allChats.length });
+      toast.success('All chats deleted successfully');
+      navigate('/', { replace: true });
+    } catch (error) {
+      logStore.logError('Failed to delete chats', error);
+      toast.error('Failed to delete chats');
+      console.error(error);
+    } finally {
+      setIsDeleting(false);
+    }
+  };
+
+  const handleExportSettings = () => {
+    const settings = {
+      providers: Cookies.get('providers'),
+      isDebugEnabled: Cookies.get('isDebugEnabled'),
+      isEventLogsEnabled: Cookies.get('isEventLogsEnabled'),
+      isLocalModelsEnabled: Cookies.get('isLocalModelsEnabled'),
+      promptId: Cookies.get('promptId'),
+      isLatestBranch: Cookies.get('isLatestBranch'),
+      commitHash: Cookies.get('commitHash'),
+      eventLogs: Cookies.get('eventLogs'),
+      selectedModel: Cookies.get('selectedModel'),
+      selectedProvider: Cookies.get('selectedProvider'),
+      githubUsername: Cookies.get('githubUsername'),
+      githubToken: Cookies.get('githubToken'),
+      bolt_theme: localStorage.getItem('bolt_theme'),
+    };
+
+    downloadAsJson(settings, 'bolt-settings.json');
+    toast.success('Settings exported successfully');
+  };
+
+  const handleImportSettings = (event: React.ChangeEvent<HTMLInputElement>) => {
+    const file = event.target.files?.[0];
+
+    if (!file) {
+      return;
+    }
+
+    const reader = new FileReader();
+
+    reader.onload = (e) => {
+      try {
+        const settings = JSON.parse(e.target?.result as string);
+
+        Object.entries(settings).forEach(([key, value]) => {
+          if (key === 'bolt_theme') {
+            if (value) {
+              localStorage.setItem(key, value as string);
+            }
+          } else if (value) {
+            Cookies.set(key, value as string);
+          }
+        });
+
+        toast.success('Settings imported successfully. Please refresh the page for changes to take effect.');
+      } catch (error) {
+        toast.error('Failed to import settings. Make sure the file is a valid JSON file.');
+        console.error('Failed to import settings:', error);
+      }
+    };
+    reader.readAsText(file);
+    event.target.value = '';
+  };
+
+  const handleExportApiKeyTemplate = () => {
+    const template: ApiKeys = {};
+    API_KEY_PROVIDERS.forEach((provider) => {
+      template[`${provider}_API_KEY`] = '';
+    });
+
+    template.OPENAI_LIKE_API_BASE_URL = '';
+    template.LMSTUDIO_API_BASE_URL = '';
+    template.OLLAMA_API_BASE_URL = '';
+    template.TOGETHER_API_BASE_URL = '';
+
+    downloadAsJson(template, 'api-keys-template.json');
+    toast.success('API keys template exported successfully');
+  };
+
+  const handleImportApiKeys = (event: React.ChangeEvent<HTMLInputElement>) => {
+    const file = event.target.files?.[0];
+
+    if (!file) {
+      return;
+    }
+
+    const reader = new FileReader();
+
+    reader.onload = (e) => {
+      try {
+        const apiKeys = JSON.parse(e.target?.result as string);
+        let importedCount = 0;
+        const consolidatedKeys: Record<string, string> = {};
+
+        API_KEY_PROVIDERS.forEach((provider) => {
+          const keyName = `${provider}_API_KEY`;
+
+          if (apiKeys[keyName]) {
+            consolidatedKeys[provider] = apiKeys[keyName];
+            importedCount++;
+          }
+        });
+
+        if (importedCount > 0) {
+          // Store all API keys in a single cookie as JSON
+          Cookies.set('apiKeys', JSON.stringify(consolidatedKeys));
+
+          // Also set individual cookies for backward compatibility
+          Object.entries(consolidatedKeys).forEach(([provider, key]) => {
+            Cookies.set(`${provider}_API_KEY`, key);
+          });
+
+          toast.success(`Successfully imported ${importedCount} API keys/URLs. Refreshing page to apply changes...`);
+
+          // Reload the page after a short delay to allow the toast to be seen
+          setTimeout(() => {
+            window.location.reload();
+          }, 1500);
+        } else {
+          toast.warn('No valid API keys found in the file');
+        }
+
+        // Set base URLs if they exist
+        ['OPENAI_LIKE_API_BASE_URL', 'LMSTUDIO_API_BASE_URL', 'OLLAMA_API_BASE_URL', 'TOGETHER_API_BASE_URL'].forEach(
+          (baseUrl) => {
+            if (apiKeys[baseUrl]) {
+              Cookies.set(baseUrl, apiKeys[baseUrl]);
+            }
+          },
+        );
+      } catch (error) {
+        toast.error('Failed to import API keys. Make sure the file is a valid JSON file.');
+        console.error('Failed to import API keys:', error);
+      }
+    };
+    reader.readAsText(file);
+    event.target.value = '';
+  };
+
+  const processChatData = (
+    data: any,
+  ): Array<{
+    id: string;
+    messages: Message[];
+    description: string;
+    urlId?: string;
+  }> => {
+    // Handle Bolt standard format (single chat)
+    if (data.messages && Array.isArray(data.messages)) {
+      const chatId = crypto.randomUUID();
+      return [
+        {
+          id: chatId,
+          messages: data.messages,
+          description: data.description || 'Imported Chat',
+          urlId: chatId,
+        },
+      ];
+    }
+
+    // Handle Bolt export format (multiple chats)
+    if (data.chats && Array.isArray(data.chats)) {
+      return data.chats.map((chat: { id?: string; messages: Message[]; description?: string; urlId?: string }) => ({
+        id: chat.id || crypto.randomUUID(),
+        messages: chat.messages,
+        description: chat.description || 'Imported Chat',
+        urlId: chat.urlId,
+      }));
+    }
+
+    console.error('No matching format found for:', data);
+    throw new Error('Unsupported chat format');
+  };
+
+  const handleImportChats = () => {
+    const input = document.createElement('input');
+    input.type = 'file';
+    input.accept = '.json';
+
+    input.onchange = async (e) => {
+      const file = (e.target as HTMLInputElement).files?.[0];
+
+      if (!file || !db) {
+        toast.error('Something went wrong');
+        return;
+      }
+
+      try {
+        const content = await file.text();
+        const data = JSON.parse(content);
+        const chatsToImport = processChatData(data);
+
+        for (const chat of chatsToImport) {
+          await setMessages(db, chat.id, chat.messages, chat.urlId, chat.description);
+        }
+
+        logStore.logSystem('Chats imported successfully', { count: chatsToImport.length });
+        toast.success(`Successfully imported ${chatsToImport.length} chat${chatsToImport.length > 1 ? 's' : ''}`);
+        window.location.reload();
+      } catch (error) {
+        if (error instanceof Error) {
+          logStore.logError('Failed to import chats:', error);
+          toast.error('Failed to import chats: ' + error.message);
+        } else {
+          toast.error('Failed to import chats');
+        }
+
+        console.error(error);
+      }
+    };
+
+    input.click();
+  };
+
+  return (
+    <div className="p-4 bg-bolt-elements-bg-depth-2 border border-bolt-elements-borderColor rounded-lg mb-4">
+      <div className="mb-6">
+        <h3 className="text-lg font-medium text-bolt-elements-textPrimary mb-4">Data Management</h3>
+        <div className="space-y-8">
+          <div className="flex flex-col gap-4">
+            <div>
+              <h4 className="text-bolt-elements-textPrimary mb-2">Chat History</h4>
+              <p className="text-sm text-bolt-elements-textSecondary mb-4">Export or delete all your chat history.</p>
+              <div className="flex gap-4">
+                <button
+                  onClick={handleExportAllChats}
+                  className="px-4 py-2 bg-bolt-elements-button-primary-background hover:bg-bolt-elements-button-primary-backgroundHover text-bolt-elements-textPrimary rounded-lg transition-colors"
+                >
+                  Export All Chats
+                </button>
+                <button
+                  onClick={handleImportChats}
+                  className="px-4 py-2 bg-bolt-elements-button-primary-background hover:bg-bolt-elements-button-primary-backgroundHover text-bolt-elements-textPrimary rounded-lg transition-colors"
+                >
+                  Import Chats
+                </button>
+                <button
+                  onClick={handleDeleteAllChats}
+                  disabled={isDeleting}
+                  className={classNames(
+                    'px-4 py-2 bg-bolt-elements-button-danger-background hover:bg-bolt-elements-button-danger-backgroundHover text-bolt-elements-button-danger-text rounded-lg transition-colors',
+                    isDeleting ? 'opacity-50 cursor-not-allowed' : '',
+                  )}
+                >
+                  {isDeleting ? 'Deleting...' : 'Delete All Chats'}
+                </button>
+              </div>
+            </div>
+
+            <div>
+              <h4 className="text-bolt-elements-textPrimary mb-2">Settings Backup</h4>
+              <p className="text-sm text-bolt-elements-textSecondary mb-4">
+                Export your settings to a JSON file or import settings from a previously exported file.
+              </p>
+              <div className="flex gap-4">
+                <button
+                  onClick={handleExportSettings}
+                  className="px-4 py-2 bg-bolt-elements-button-primary-background hover:bg-bolt-elements-button-primary-backgroundHover text-bolt-elements-textPrimary rounded-lg transition-colors"
+                >
+                  Export Settings
+                </button>
+                <label className="px-4 py-2 bg-bolt-elements-button-primary-background hover:bg-bolt-elements-button-primary-backgroundHover text-bolt-elements-textPrimary rounded-lg transition-colors cursor-pointer">
+                  Import Settings
+                  <input type="file" accept=".json" onChange={handleImportSettings} className="hidden" />
+                </label>
+              </div>
+            </div>
+
+            <div>
+              <h4 className="text-bolt-elements-textPrimary mb-2">API Keys Management</h4>
+              <p className="text-sm text-bolt-elements-textSecondary mb-4">
+                Import API keys from a JSON file or download a template to fill in your keys.
+              </p>
+              <div className="flex gap-4">
+                <button
+                  onClick={handleExportApiKeyTemplate}
+                  className="px-4 py-2 bg-bolt-elements-button-primary-background hover:bg-bolt-elements-button-primary-backgroundHover text-bolt-elements-textPrimary rounded-lg transition-colors"
+                >
+                  Download Template
+                </button>
+                <label className="px-4 py-2 bg-bolt-elements-button-primary-background hover:bg-bolt-elements-button-primary-backgroundHover text-bolt-elements-textPrimary rounded-lg transition-colors cursor-pointer">
+                  Import API Keys
+                  <input type="file" accept=".json" onChange={handleImportApiKeys} className="hidden" />
+                </label>
+              </div>
+            </div>
+          </div>
+        </div>
+      </div>
+    </div>
+  );
+}

app/components/settings/debug/DebugTab.tsx

@@ -1,7 +1,7 @@
 import React, { useCallback, useEffect, useState } from 'react';
 import { useSettings } from '~/lib/hooks/useSettings';
-import commit from '~/commit.json';
 import { toast } from 'react-toastify';
+import { providerBaseUrlEnvKeys } from '~/utils/constants';
 
 interface ProviderStatus {
   name: string;
@@ -43,16 +43,38 @@ interface CommitData {
   version?: string;
 }
 
-const connitJson: CommitData = commit;
+const connitJson: CommitData = {
+  commit: __COMMIT_HASH,
+  version: __APP_VERSION,
+};
 
 const LOCAL_PROVIDERS = ['Ollama', 'LMStudio', 'OpenAILike'];
+
 const versionHash = connitJson.commit;
 const versionTag = connitJson.version;
+
 const GITHUB_URLS = {
   original: 'https://api.github.com/repos/stackblitz-labs/bolt.diy/commits/main',
   fork: 'https://api.github.com/repos/Stijnus/bolt.new-any-llm/commits/main',
-  commitJson: (branch: string) =>
+  commitJson: async (branch: string) => {
-    `https://raw.githubusercontent.com/stackblitz-labs/bolt.diy/${branch}/app/commit.json`,
+    try {
+      const response = await fetch(`https://api.github.com/repos/stackblitz-labs/bolt.diy/commits/${branch}`);
+      const data: { sha: string } = await response.json();
+
+      const packageJsonResp = await fetch(
+        `https://raw.githubusercontent.com/stackblitz-labs/bolt.diy/${branch}/package.json`,
+      );
+      const packageJson: { version: string } = await packageJsonResp.json();
+
+      return {
+        commit: data.sha.slice(0, 7),
+        version: packageJson.version,
+      };
+    } catch (error) {
+      console.log('Failed to fetch local commit info:', error);
+      throw new Error('Failed to fetch local commit info');
+    }
+  },
 };
 
 function getSystemInfo(): SystemInfo {
@@ -236,7 +258,7 @@ const checkProviderStatus = async (url: string | null, providerName: string): Pr
     }
 
     // Try different endpoints based on provider
-    const checkUrls = [`${url}/api/health`, `${url}/v1/models`];
+    const checkUrls = [`${url}/api/health`, url.endsWith('v1') ? `${url}/models` : `${url}/v1/models`];
     console.log(`[Debug] Checking additional endpoints:`, checkUrls);
 
     const results = await Promise.all(
@@ -321,14 +343,16 @@ export default function DebugTab() {
           .filter(([, provider]) => LOCAL_PROVIDERS.includes(provider.name))
           .map(async ([, provider]) => {
             const envVarName =
-              provider.name.toLowerCase() === 'ollama'
+              providerBaseUrlEnvKeys[provider.name].baseUrlKey || `REACT_APP_${provider.name.toUpperCase()}_URL`;
-                ? 'OLLAMA_API_BASE_URL'
-                : provider.name.toLowerCase() === 'lmstudio'
-                  ? 'LMSTUDIO_API_BASE_URL'
-                  : `REACT_APP_${provider.name.toUpperCase()}_URL`;
 
             // Access environment variables through import.meta.env
-            const url = import.meta.env[envVarName] || provider.settings.baseUrl || null; // Ensure baseUrl is used
+            let settingsUrl = provider.settings.baseUrl;
+
+            if (settingsUrl && settingsUrl.trim().length === 0) {
+              settingsUrl = undefined;
+            }
+
+            const url = settingsUrl || import.meta.env[envVarName] || null; // Ensure baseUrl is used
             console.log(`[Debug] Using URL for ${provider.name}:`, url, `(from ${envVarName})`);
 
             const status = await checkProviderStatus(url, provider.name);
@@ -366,14 +390,9 @@ export default function DebugTab() {
       const branchToCheck = isLatestBranch ? 'main' : 'stable';
       console.log(`[Debug] Checking for updates against ${branchToCheck} branch`);
 
-      const localCommitResponse = await fetch(GITHUB_URLS.commitJson(branchToCheck));
+      const latestCommitResp = await GITHUB_URLS.commitJson(branchToCheck);
 
-      if (!localCommitResponse.ok) {
+      const remoteCommitHash = latestCommitResp.commit;
-        throw new Error('Failed to fetch local commit info');
-      }
-
-      const localCommitData = (await localCommitResponse.json()) as CommitData;
-      const remoteCommitHash = localCommitData.commit;
       const currentCommitHash = versionHash;
 
       if (remoteCommitHash !== currentCommitHash) {
@@ -521,7 +540,7 @@ export default function DebugTab() {
             <div className="mt-3 pt-3 border-t border-bolt-elements-surface-hover">
               <p className="text-xs text-bolt-elements-textSecondary">Version</p>
               <p className="text-sm font-medium text-bolt-elements-textPrimary font-mono">
-                {versionHash.slice(0, 7)}
+                {connitJson.commit.slice(0, 7)}
                 <span className="ml-2 text-xs text-bolt-elements-textSecondary">
                   (v{versionTag || '0.0.1'}) - {isLatestBranch ? 'nightly' : 'stable'}
                 </span>

app/components/settings/features/FeaturesTab.tsx

@@ -14,6 +14,10 @@ export default function FeaturesTab() {
     enableLatestBranch,
     promptId,
     setPromptId,
+    autoSelectTemplate,
+    setAutoSelectTemplate,
+    enableContextOptimization,
+    contextOptimizationEnabled,
   } = useSettings();
 
   const handleToggle = (enabled: boolean) => {
@@ -33,29 +37,55 @@ export default function FeaturesTab() {
           <div className="flex items-center justify-between">
             <div>
               <span className="text-bolt-elements-textPrimary">Use Main Branch</span>
-              <p className="text-sm text-bolt-elements-textSecondary">
+              <p className="text-xs text-bolt-elements-textTertiary">
                 Check for updates against the main branch instead of stable
               </p>
             </div>
             <Switch className="ml-auto" checked={isLatestBranch} onCheckedChange={enableLatestBranch} />
           </div>
+          <div className="flex items-center justify-between">
+            <div>
+              <span className="text-bolt-elements-textPrimary">Auto Select Code Template</span>
+              <p className="text-xs text-bolt-elements-textTertiary">
+                Let Bolt select the best starter template for your project.
+              </p>
+            </div>
+            <Switch className="ml-auto" checked={autoSelectTemplate} onCheckedChange={setAutoSelectTemplate} />
+          </div>
+          <div className="flex items-center justify-between">
+            <div>
+              <span className="text-bolt-elements-textPrimary">Use Context Optimization</span>
+              <p className="text-sm text-bolt-elements-textSecondary">
+                redact file contents form chat and puts the latest file contents on the system prompt
+              </p>
+            </div>
+            <Switch
+              className="ml-auto"
+              checked={contextOptimizationEnabled}
+              onCheckedChange={enableContextOptimization}
+            />
+          </div>
         </div>
       </div>
 
       <div className="mb-6 border-t border-bolt-elements-borderColor pt-4">
         <h3 className="text-lg font-medium text-bolt-elements-textPrimary mb-4">Experimental Features</h3>
-        <p className="text-sm text-bolt-elements-textSecondary mb-4">
+        <p className="text-sm text-bolt-elements-textSecondary mb-10">
           Disclaimer: Experimental features may be unstable and are subject to change.
         </p>
-
+        <div className="flex flex-col">
           <div className="flex items-center justify-between mb-2">
             <span className="text-bolt-elements-textPrimary">Experimental Providers</span>
             <Switch className="ml-auto" checked={isLocalModel} onCheckedChange={enableLocalModels} />
           </div>
+          <p className="text-xs text-bolt-elements-textTertiary mb-4">
+            Enable experimental providers such as Ollama, LMStudio, and OpenAILike.
+          </p>
+        </div>
         <div className="flex items-start justify-between pt-4 mb-2 gap-2">
           <div className="flex-1 max-w-[200px]">
             <span className="text-bolt-elements-textPrimary">Prompt Library</span>
-            <p className="text-sm text-bolt-elements-textSecondary mb-4">
+            <p className="text-xs text-bolt-elements-textTertiary mb-4">
               Choose a prompt from the library to use as the system prompt.
             </p>
           </div>

app/components/settings/providers/ProvidersTab.tsx

@@ -6,7 +6,9 @@ import type { IProviderConfig } from '~/types/model';
 import { logStore } from '~/lib/stores/logs';
 
 // Import a default fallback icon
-import DefaultIcon from '/icons/Default.svg'; // Adjust the path as necessary
+import { providerBaseUrlEnvKeys } from '~/utils/constants';
+
+const DefaultIcon = '/icons/Default.svg'; // Adjust the path as necessary
 
 export default function ProvidersTab() {
   const { providers, updateProviderSettings, isLocalModel } = useSettings();
@@ -33,31 +35,28 @@ export default function ProvidersTab() {
 
     newFilteredProviders.sort((a, b) => a.name.localeCompare(b.name));
 
-    setFilteredProviders(newFilteredProviders);
+    // Split providers into regular and URL-configurable
+    const regular = newFilteredProviders.filter((p) => !URL_CONFIGURABLE_PROVIDERS.includes(p.name));
+    const urlConfigurable = newFilteredProviders.filter((p) => URL_CONFIGURABLE_PROVIDERS.includes(p.name));
+
+    setFilteredProviders([...regular, ...urlConfigurable]);
   }, [providers, searchTerm, isLocalModel]);
 
+  const renderProviderCard = (provider: IProviderConfig) => {
+    const envBaseUrlKey = providerBaseUrlEnvKeys[provider.name].baseUrlKey;
+    const envBaseUrl = envBaseUrlKey ? import.meta.env[envBaseUrlKey] : undefined;
+    const isUrlConfigurable = URL_CONFIGURABLE_PROVIDERS.includes(provider.name);
+
     return (
-    <div className="p-4">
-      <div className="flex mb-4">
-        <input
-          type="text"
-          placeholder="Search providers..."
-          value={searchTerm}
-          onChange={(e) => setSearchTerm(e.target.value)}
-          className="w-full bg-white dark:bg-bolt-elements-background-depth-4 relative px-2 py-1.5 rounded-md focus:outline-none placeholder-bolt-elements-textTertiary text-bolt-elements-textPrimary dark:text-bolt-elements-textPrimary border border-bolt-elements-borderColor"
-        />
-      </div>
-      {filteredProviders.map((provider) => (
       <div
         key={provider.name}
-          className="flex flex-col mb-2 provider-item hover:bg-bolt-elements-bg-depth-3 p-4 rounded-lg border border-bolt-elements-borderColor "
+        className="flex flex-col provider-item hover:bg-bolt-elements-bg-depth-3 p-4 rounded-lg border border-bolt-elements-borderColor"
       >
         <div className="flex items-center justify-between mb-2">
           <div className="flex items-center gap-2">
             <img
-                src={`/icons/${provider.name}.svg`} // Attempt to load the specific icon
+              src={`/icons/${provider.name}.svg`}
               onError={(e) => {
-                  // Fallback to default icon on error
                 e.currentTarget.src = DefaultIcon;
               }}
               alt={`${provider.name} icon`}
@@ -79,15 +78,26 @@ export default function ProvidersTab() {
             }}
           />
         </div>
-          {/* Base URL input for configurable providers */}
+        {isUrlConfigurable && provider.settings.enabled && (
-          {URL_CONFIGURABLE_PROVIDERS.includes(provider.name) && provider.settings.enabled && (
           <div className="mt-2">
-              <label className="block text-sm text-bolt-elements-textSecondary mb-1">Base URL:</label>
+            {envBaseUrl && (
+              <label className="block text-xs text-bolt-elements-textSecondary text-green-300 mb-2">
+                Set On (.env) : {envBaseUrl}
+              </label>
+            )}
+            <label className="block text-sm text-bolt-elements-textSecondary mb-2">
+              {envBaseUrl ? 'Override Base Url' : 'Base URL '}:{' '}
+            </label>
             <input
               type="text"
               value={provider.settings.baseUrl || ''}
               onChange={(e) => {
-                  const newBaseUrl = e.target.value;
+                let newBaseUrl: string | undefined = e.target.value;
+
+                if (newBaseUrl && newBaseUrl.trim().length === 0) {
+                  newBaseUrl = undefined;
+                }
+
                 updateProviderSettings(provider.name, { ...provider.settings, baseUrl: newBaseUrl });
                 logStore.logProvider(`Base URL updated for ${provider.name}`, {
                   provider: provider.name,
@@ -100,7 +110,38 @@ export default function ProvidersTab() {
           </div>
         )}
       </div>
-      ))}
+    );
+  };
+
+  const regularProviders = filteredProviders.filter((p) => !URL_CONFIGURABLE_PROVIDERS.includes(p.name));
+  const urlConfigurableProviders = filteredProviders.filter((p) => URL_CONFIGURABLE_PROVIDERS.includes(p.name));
+
+  return (
+    <div className="p-4">
+      <div className="flex mb-4">
+        <input
+          type="text"
+          placeholder="Search providers..."
+          value={searchTerm}
+          onChange={(e) => setSearchTerm(e.target.value)}
+          className="w-full bg-white dark:bg-bolt-elements-background-depth-4 relative px-2 py-1.5 rounded-md focus:outline-none placeholder-bolt-elements-textTertiary text-bolt-elements-textPrimary dark:text-bolt-elements-textPrimary border border-bolt-elements-borderColor"
+        />
+      </div>
+
+      {/* Regular Providers Grid */}
+      <div className="grid grid-cols-2 gap-4 mb-8">{regularProviders.map(renderProviderCard)}</div>
+
+      {/* URL Configurable Providers Section */}
+      {urlConfigurableProviders.length > 0 && (
+        <div className="mt-8">
+          <h3 className="text-lg font-semibold mb-2 text-bolt-elements-textPrimary">Experimental Providers</h3>
+          <p className="text-sm text-bolt-elements-textSecondary mb-4">
+            These providers are experimental and allow you to run AI models locally or connect to your own
+            infrastructure. They require additional setup but offer more flexibility.
+          </p>
+          <div className="space-y-4">{urlConfigurableProviders.map(renderProviderCard)}</div>
+        </div>
+      )}
     </div>
   );
 }

app/components/ui/LoadingOverlay.tsx

@@ -1,13 +1,31 @@
-export const LoadingOverlay = ({ message = 'Loading...' }) => {
+export const LoadingOverlay = ({
+  message = 'Loading...',
+  progress,
+  progressText,
+}: {
+  message?: string;
+  progress?: number;
+  progressText?: string;
+}) => {
   return (
     <div className="fixed inset-0 flex items-center justify-center bg-black/80 z-50 backdrop-blur-sm">
-      {/* Loading content */}
       <div className="relative flex flex-col items-center gap-4 p-8 rounded-lg bg-bolt-elements-background-depth-2 shadow-lg">
         <div
           className={'i-svg-spinners:90-ring-with-bg text-bolt-elements-loader-progress'}
           style={{ fontSize: '2rem' }}
         ></div>
         <p className="text-lg text-bolt-elements-textTertiary">{message}</p>
+        {progress !== undefined && (
+          <div className="w-64 flex flex-col gap-2">
+            <div className="w-full h-2 bg-bolt-elements-background-depth-1 rounded-full overflow-hidden">
+              <div
+                className="h-full bg-bolt-elements-loader-progress transition-all duration-300 ease-out rounded-full"
+                style={{ width: `${Math.min(100, Math.max(0, progress))}%` }}
+              />
+            </div>
+            {progressText && <p className="text-sm text-bolt-elements-textTertiary text-center">{progressText}</p>}
+          </div>
+        )}
       </div>
     </div>
   );

app/components/ui/Popover.tsx

@@ -0,0 +1,20 @@
+import * as Popover from '@radix-ui/react-popover';
+import type { PropsWithChildren, ReactNode } from 'react';
+
+export default ({ children, trigger }: PropsWithChildren<{ trigger: ReactNode }>) => (
+  <Popover.Root>
+    <Popover.Trigger asChild>{trigger}</Popover.Trigger>
+    <Popover.Anchor />
+    <Popover.Portal>
+      <Popover.Content
+        sideOffset={10}
+        side="top"
+        align="center"
+        className="bg-bolt-elements-background-depth-2 text-bolt-elements-item-contentAccent p-2 rounded-md shadow-xl z-workbench"
+      >
+        {children}
+        <Popover.Arrow className="bg-bolt-elements-item-background-depth-2" />
+      </Popover.Content>
+    </Popover.Portal>
+  </Popover.Root>
+);

app/components/workbench/Preview.tsx

@@ -1,5 +1,5 @@
-import { useStore } from '@nanostores/react';
 import { memo, useCallback, useEffect, useRef, useState } from 'react';
+import { useStore } from '@nanostores/react';
 import { IconButton } from '~/components/ui/IconButton';
 import { workbenchStore } from '~/lib/stores/workbench';
 import { PortDropdown } from './PortDropdown';
@@ -7,6 +7,20 @@ import { ScreenshotSelector } from './ScreenshotSelector';
 
 type ResizeSide = 'left' | 'right' | null;
 
+interface WindowSize {
+  name: string;
+  width: number;
+  height: number;
+  icon: string;
+}
+
+const WINDOW_SIZES: WindowSize[] = [
+  { name: 'Mobile', width: 375, height: 667, icon: 'i-ph:device-mobile' },
+  { name: 'Tablet', width: 768, height: 1024, icon: 'i-ph:device-tablet' },
+  { name: 'Laptop', width: 1366, height: 768, icon: 'i-ph:laptop' },
+  { name: 'Desktop', width: 1920, height: 1080, icon: 'i-ph:monitor' },
+];
+
 export const Preview = memo(() => {
   const iframeRef = useRef<HTMLIFrameElement>(null);
   const containerRef = useRef<HTMLDivElement>(null);
@@ -15,6 +29,7 @@ export const Preview = memo(() => {
   const [activePreviewIndex, setActivePreviewIndex] = useState(0);
   const [isPortDropdownOpen, setIsPortDropdownOpen] = useState(false);
   const [isFullscreen, setIsFullscreen] = useState(false);
+  const [isPreviewOnly, setIsPreviewOnly] = useState(false);
   const hasSelectedPreview = useRef(false);
   const previews = useStore(workbenchStore.previews);
   const activePreview = previews[activePreviewIndex];
@@ -27,7 +42,7 @@ export const Preview = memo(() => {
   const [isDeviceModeOn, setIsDeviceModeOn] = useState(false);
 
   // Use percentage for width
-  const [widthPercent, setWidthPercent] = useState<number>(37.5); // 375px assuming 1000px window width initially
+  const [widthPercent, setWidthPercent] = useState<number>(37.5);
 
   const resizingState = useRef({
     isResizing: false,
@@ -37,8 +52,10 @@ export const Preview = memo(() => {
     windowWidth: window.innerWidth,
   });
 
-  // Define the scaling factor
+  const SCALING_FACTOR = 2;
-  const SCALING_FACTOR = 2; // Adjust this value to increase/decrease sensitivity
+
+  const [isWindowSizeDropdownOpen, setIsWindowSizeDropdownOpen] = useState(false);
+  const [selectedWindowSize, setSelectedWindowSize] = useState<WindowSize>(WINDOW_SIZES[0]);
 
   useEffect(() => {
     if (!activePreview) {
@@ -79,7 +96,6 @@ export const Preview = memo(() => {
     [],
   );
 
-  // When previews change, display the lowest port if user hasn't selected a preview
   useEffect(() => {
     if (previews.length > 1 && !hasSelectedPreview.current) {
       const minPortIndex = previews.reduce(findMinPortIndex, 0);
@@ -122,7 +138,6 @@ export const Preview = memo(() => {
       return;
     }
 
-    // Prevent text selection
     document.body.style.userSelect = 'none';
 
     resizingState.current.isResizing = true;
@@ -134,7 +149,7 @@ export const Preview = memo(() => {
     document.addEventListener('mousemove', onMouseMove);
     document.addEventListener('mouseup', onMouseUp);
 
-    e.preventDefault(); // Prevent any text selection on mousedown
+    e.preventDefault();
   };
 
   const onMouseMove = (e: MouseEvent) => {
@@ -145,7 +160,6 @@ export const Preview = memo(() => {
     const dx = e.clientX - resizingState.current.startX;
     const windowWidth = resizingState.current.windowWidth;
 
-    // Apply scaling factor to increase sensitivity
     const dxPercent = (dx / windowWidth) * 100 * SCALING_FACTOR;
 
     let newWidthPercent = resizingState.current.startWidthPercent;
@@ -156,7 +170,6 @@ export const Preview = memo(() => {
       newWidthPercent = resizingState.current.startWidthPercent - dxPercent;
     }
 
-    // Clamp the width between 10% and 90%
     newWidthPercent = Math.max(10, Math.min(newWidthPercent, 90));
 
     setWidthPercent(newWidthPercent);
@@ -168,17 +181,12 @@ export const Preview = memo(() => {
     document.removeEventListener('mousemove', onMouseMove);
     document.removeEventListener('mouseup', onMouseUp);
 
-    // Restore text selection
     document.body.style.userSelect = '';
   };
 
-  // Handle window resize to ensure widthPercent remains valid
   useEffect(() => {
     const handleWindowResize = () => {
-      /*
+      // Optional: Adjust widthPercent if necessary
-       * Optional: Adjust widthPercent if necessary
-       * For now, since widthPercent is relative, no action is needed
-       */
     };
 
     window.addEventListener('resize', handleWindowResize);
@@ -188,7 +196,6 @@ export const Preview = memo(() => {
     };
   }, []);
 
-  // A small helper component for the handle's "grip" icon
   const GripIcon = () => (
     <div
       style={{
@@ -213,22 +220,47 @@ export const Preview = memo(() => {
     </div>
   );
 
+  const openInNewWindow = (size: WindowSize) => {
+    if (activePreview?.baseUrl) {
+      const match = activePreview.baseUrl.match(/^https?:\/\/([^.]+)\.local-credentialless\.webcontainer-api\.io/);
+
+      if (match) {
+        const previewId = match[1];
+        const previewUrl = `/webcontainer/preview/${previewId}`;
+        const newWindow = window.open(
+          previewUrl,
+          '_blank',
+          `noopener,noreferrer,width=${size.width},height=${size.height},menubar=no,toolbar=no,location=no,status=no`,
+        );
+
+        if (newWindow) {
+          newWindow.focus();
+        }
+      } else {
+        console.warn('[Preview] Invalid WebContainer URL:', activePreview.baseUrl);
+      }
+    }
+  };
+
   return (
-    <div ref={containerRef} className="w-full h-full flex flex-col relative">
+    <div
+      ref={containerRef}
+      className={`w-full h-full flex flex-col relative ${isPreviewOnly ? 'fixed inset-0 z-50 bg-white' : ''}`}
+    >
       {isPortDropdownOpen && (
         <div className="z-iframe-overlay w-full h-full absolute" onClick={() => setIsPortDropdownOpen(false)} />
       )}
-      <div className="bg-bolt-elements-background-depth-2 p-2 flex items-center gap-1.5">
+      <div className="bg-bolt-elements-background-depth-2 p-2 flex items-center gap-2">
+        <div className="flex items-center gap-2">
           <IconButton icon="i-ph:arrow-clockwise" onClick={reloadPreview} />
           <IconButton
             icon="i-ph:selection"
             onClick={() => setIsSelectionMode(!isSelectionMode)}
             className={isSelectionMode ? 'bg-bolt-elements-background-depth-3' : ''}
           />
-        <div
+        </div>
-          className="flex items-center gap-1 flex-grow bg-bolt-elements-preview-addressBar-background border border-bolt-elements-borderColor text-bolt-elements-preview-addressBar-text rounded-full px-3 py-1 text-sm hover:bg-bolt-elements-preview-addressBar-backgroundHover hover:focus-within:bg-bolt-elements-preview-addressBar-backgroundActive focus-within:bg-bolt-elements-preview-addressBar-backgroundActive
+
-        focus-within-border-bolt-elements-borderColorActive focus-within:text-bolt-elements-preview-addressBar-textActive"
+        <div className="flex-grow flex items-center gap-1 bg-bolt-elements-preview-addressBar-background border border-bolt-elements-borderColor text-bolt-elements-preview-addressBar-text rounded-full px-3 py-1 text-sm hover:bg-bolt-elements-preview-addressBar-backgroundHover hover:focus-within:bg-bolt-elements-preview-addressBar-backgroundActive focus-within:bg-bolt-elements-preview-addressBar-backgroundActive focus-within-border-bolt-elements-borderColorActive focus-within:text-bolt-elements-preview-addressBar-textActive">
-        >
           <input
             title="URL"
             ref={inputRef}
@@ -250,6 +282,7 @@ export const Preview = memo(() => {
           />
         </div>
 
+        <div className="flex items-center gap-2">
           {previews.length > 1 && (
             <PortDropdown
               activePreviewIndex={activePreviewIndex}
@@ -261,28 +294,78 @@ export const Preview = memo(() => {
             />
           )}
 
-        {/* Device mode toggle button */}
           <IconButton
             icon="i-ph:devices"
             onClick={toggleDeviceMode}
             title={isDeviceModeOn ? 'Switch to Responsive Mode' : 'Switch to Device Mode'}
           />
 
-        {/* Fullscreen toggle button */}
+          <IconButton
+            icon="i-ph:layout-light"
+            onClick={() => setIsPreviewOnly(!isPreviewOnly)}
+            title={isPreviewOnly ? 'Show Full Interface' : 'Show Preview Only'}
+          />
+
           <IconButton
             icon={isFullscreen ? 'i-ph:arrows-in' : 'i-ph:arrows-out'}
             onClick={toggleFullscreen}
             title={isFullscreen ? 'Exit Full Screen' : 'Full Screen'}
           />
+
+          <div className="flex items-center relative">
+            <IconButton
+              icon="i-ph:arrow-square-out"
+              onClick={() => openInNewWindow(selectedWindowSize)}
+              title={`Open Preview in ${selectedWindowSize.name} Window`}
+            />
+            <IconButton
+              icon="i-ph:caret-down"
+              onClick={() => setIsWindowSizeDropdownOpen(!isWindowSizeDropdownOpen)}
+              className="ml-1"
+              title="Select Window Size"
+            />
+
+            {isWindowSizeDropdownOpen && (
+              <>
+                <div className="fixed inset-0 z-50" onClick={() => setIsWindowSizeDropdownOpen(false)} />
+                <div className="absolute right-0 top-full mt-2 z-50 min-w-[240px] bg-white dark:bg-black rounded-xl shadow-2xl border border-[#E5E7EB] dark:border-[rgba(255,255,255,0.1)] overflow-hidden">
+                  {WINDOW_SIZES.map((size) => (
+                    <button
+                      key={size.name}
+                      className="w-full px-4 py-3.5 text-left text-[#111827] dark:text-gray-300 text-sm whitespace-nowrap flex items-center gap-3 group hover:bg-[#F5EEFF] dark:hover:bg-gray-900 bg-white dark:bg-black"
+                      onClick={() => {
+                        setSelectedWindowSize(size);
+                        setIsWindowSizeDropdownOpen(false);
+                        openInNewWindow(size);
+                      }}
+                    >
+                      <div
+                        className={`${size.icon} w-5 h-5 text-[#6B7280] dark:text-gray-400 group-hover:text-[#6D28D9] dark:group-hover:text-[#6D28D9] transition-colors duration-200`}
+                      />
+                      <div className="flex flex-col">
+                        <span className="font-medium group-hover:text-[#6D28D9] dark:group-hover:text-[#6D28D9] transition-colors duration-200">
+                          {size.name}
+                        </span>
+                        <span className="text-xs text-[#6B7280] dark:text-gray-400 group-hover:text-[#6D28D9] dark:group-hover:text-[#6D28D9] transition-colors duration-200">
+                          {size.width} × {size.height}
+                        </span>
+                      </div>
+                    </button>
+                  ))}
+                </div>
+              </>
+            )}
+          </div>
+        </div>
       </div>
 
       <div className="flex-1 border-t border-bolt-elements-borderColor flex justify-center items-center overflow-auto">
         <div
           style={{
             width: isDeviceModeOn ? `${widthPercent}%` : '100%',
-            height: '100%', // Always full height
+            height: '100%',
             overflow: 'visible',
-            background: '#fff',
+            background: 'var(--bolt-elements-background-depth-1)',
             position: 'relative',
             display: 'flex',
           }}
@@ -292,9 +375,10 @@ export const Preview = memo(() => {
               <iframe
                 ref={iframeRef}
                 title="preview"
-                className="border-none w-full h-full bg-white"
+                className="border-none w-full h-full bg-bolt-elements-background-depth-1"
                 src={iframeUrl}
-                allowFullScreen
+                sandbox="allow-scripts allow-forms allow-popups allow-modals allow-storage-access-by-user-activation allow-same-origin"
+                allow="cross-origin-isolated"
               />
               <ScreenshotSelector
                 isSelectionMode={isSelectionMode}
@@ -303,12 +387,13 @@ export const Preview = memo(() => {
               />
             </>
           ) : (
-            <div className="flex w-full h-full justify-center items-center bg-white">No preview available</div>
+            <div className="flex w-full h-full justify-center items-center bg-bolt-elements-background-depth-1 text-bolt-elements-textPrimary">
+              No preview available
+            </div>
           )}
 
           {isDeviceModeOn && (
             <>
-              {/* Left handle */}
               <div
                 onMouseDown={(e) => startResizing(e, 'left')}
                 style={{
@@ -333,7 +418,6 @@ export const Preview = memo(() => {
                 <GripIcon />
               </div>
 
-              {/* Right handle */}
               <div
                 onMouseDown={(e) => startResizing(e, 'right')}
                 style={{

app/entry.server.tsx

@@ -1,20 +1,19 @@
-import type { AppLoadContext, EntryContext } from '@remix-run/cloudflare';
+import type { AppLoadContext } from '@remix-run/cloudflare';
 import { RemixServer } from '@remix-run/react';
 import { isbot } from 'isbot';
 import { renderToReadableStream } from 'react-dom/server';
 import { renderHeadToString } from 'remix-island';
 import { Head } from './root';
 import { themeStore } from '~/lib/stores/theme';
-import { initializeModelList } from '~/utils/constants';
 
 export default async function handleRequest(
   request: Request,
   responseStatusCode: number,
   responseHeaders: Headers,
-  remixContext: EntryContext,
+  remixContext: any,
   _loadContext: AppLoadContext,
 ) {
-  await initializeModelList();
+  // await initializeModelList({});
 
   const readable = await renderToReadableStream(<RemixServer context={remixContext} url={request.url} />, {
     signal: request.signal,

app/lib/.server/llm/api-key.ts

@@ -1,73 +0,0 @@
-/*
- * @ts-nocheck
- * Preventing TS checks with files presented in the video for a better presentation.
- */
-import { env } from 'node:process';
-
-export function getAPIKey(cloudflareEnv: Env, provider: string, userApiKeys?: Record<string, string>) {
-  /**
-   * The `cloudflareEnv` is only used when deployed or when previewing locally.
-   * In development the environment variables are available through `env`.
-   */
-
-  // First check user-provided API keys
-  if (userApiKeys?.[provider]) {
-    return userApiKeys[provider];
-  }
-
-  // Fall back to environment variables
-  switch (provider) {
-    case 'Anthropic':
-      return env.ANTHROPIC_API_KEY || cloudflareEnv.ANTHROPIC_API_KEY;
-    case 'OpenAI':
-      return env.OPENAI_API_KEY || cloudflareEnv.OPENAI_API_KEY;
-    case 'Google':
-      return env.GOOGLE_GENERATIVE_AI_API_KEY || cloudflareEnv.GOOGLE_GENERATIVE_AI_API_KEY;
-    case 'Groq':
-      return env.GROQ_API_KEY || cloudflareEnv.GROQ_API_KEY;
-    case 'HuggingFace':
-      return env.HuggingFace_API_KEY || cloudflareEnv.HuggingFace_API_KEY;
-    case 'OpenRouter':
-      return env.OPEN_ROUTER_API_KEY || cloudflareEnv.OPEN_ROUTER_API_KEY;
-    case 'Deepseek':
-      return env.DEEPSEEK_API_KEY || cloudflareEnv.DEEPSEEK_API_KEY;
-    case 'Mistral':
-      return env.MISTRAL_API_KEY || cloudflareEnv.MISTRAL_API_KEY;
-    case 'OpenAILike':
-      return env.OPENAI_LIKE_API_KEY || cloudflareEnv.OPENAI_LIKE_API_KEY;
-    case 'Together':
-      return env.TOGETHER_API_KEY || cloudflareEnv.TOGETHER_API_KEY;
-    case 'xAI':
-      return env.XAI_API_KEY || cloudflareEnv.XAI_API_KEY;
-    case 'Perplexity':
-      return env.PERPLEXITY_API_KEY || cloudflareEnv.PERPLEXITY_API_KEY;
-    case 'Cohere':
-      return env.COHERE_API_KEY;
-    case 'AzureOpenAI':
-      return env.AZURE_OPENAI_API_KEY;
-    default:
-      return '';
-  }
-}
-
-export function getBaseURL(cloudflareEnv: Env, provider: string) {
-  switch (provider) {
-    case 'Together':
-      return env.TOGETHER_API_BASE_URL || cloudflareEnv.TOGETHER_API_BASE_URL || 'https://api.together.xyz/v1';
-    case 'OpenAILike':
-      return env.OPENAI_LIKE_API_BASE_URL || cloudflareEnv.OPENAI_LIKE_API_BASE_URL;
-    case 'LMStudio':
-      return env.LMSTUDIO_API_BASE_URL || cloudflareEnv.LMSTUDIO_API_BASE_URL || 'http://localhost:1234';
-    case 'Ollama': {
-      let baseUrl = env.OLLAMA_API_BASE_URL || cloudflareEnv.OLLAMA_API_BASE_URL || 'http://localhost:11434';
-
-      if (env.RUNNING_IN_DOCKER === 'true') {
-        baseUrl = baseUrl.replace('localhost', 'host.docker.internal');
-      }
-
-      return baseUrl;
-    }
-    default:
-      return '';
-  }
-}

app/lib/.server/llm/constants.ts

@@ -3,3 +3,36 @@ export const MAX_TOKENS = 8000;
 
 // limits the number of model responses that can be returned in a single request
 export const MAX_RESPONSE_SEGMENTS = 2;
+
+export interface File {
+  type: 'file';
+  content: string;
+  isBinary: boolean;
+}
+
+export interface Folder {
+  type: 'folder';
+}
+
+type Dirent = File | Folder;
+
+export type FileMap = Record<string, Dirent | undefined>;
+
+export const IGNORE_PATTERNS = [
+  'node_modules/**',
+  '.git/**',
+  'dist/**',
+  'build/**',
+  '.next/**',
+  'coverage/**',
+  '.cache/**',
+  '.vscode/**',
+  '.idea/**',
+  '**/*.log',
+  '**/.DS_Store',
+  '**/npm-debug.log*',
+  '**/yarn-debug.log*',
+  '**/yarn-error.log*',
+  '**/*lock.json',
+  '**/*lock.yml',
+];

app/lib/.server/llm/create-summary.ts

@@ -0,0 +1,138 @@
+import { generateText, type CoreTool, type GenerateTextResult, type Message } from 'ai';
+import type { IProviderSetting } from '~/types/model';
+import { DEFAULT_MODEL, DEFAULT_PROVIDER, PROVIDER_LIST } from '~/utils/constants';
+import { extractCurrentContext, extractPropertiesFromMessage, simplifyBoltActions } from './utils';
+import { createScopedLogger } from '~/utils/logger';
+import { LLMManager } from '~/lib/modules/llm/manager';
+
+const logger = createScopedLogger('create-summary');
+
+export async function createSummary(props: {
+  messages: Message[];
+  env?: Env;
+  apiKeys?: Record<string, string>;
+  providerSettings?: Record<string, IProviderSetting>;
+  promptId?: string;
+  contextOptimization?: boolean;
+  onFinish?: (resp: GenerateTextResult<Record<string, CoreTool<any, any>>, never>) => void;
+}) {
+  const { messages, env: serverEnv, apiKeys, providerSettings, contextOptimization, onFinish } = props;
+  let currentModel = DEFAULT_MODEL;
+  let currentProvider = DEFAULT_PROVIDER.name;
+  const processedMessages = messages.map((message) => {
+    if (message.role === 'user') {
+      const { model, provider, content } = extractPropertiesFromMessage(message);
+      currentModel = model;
+      currentProvider = provider;
+
+      return { ...message, content };
+    } else if (message.role == 'assistant') {
+      let content = message.content;
+
+      if (contextOptimization) {
+        content = simplifyBoltActions(content);
+      }
+
+      return { ...message, content };
+    }
+
+    return message;
+  });
+
+  const provider = PROVIDER_LIST.find((p) => p.name === currentProvider) || DEFAULT_PROVIDER;
+  const staticModels = LLMManager.getInstance().getStaticModelListFromProvider(provider);
+  let modelDetails = staticModels.find((m) => m.name === currentModel);
+
+  if (!modelDetails) {
+    const modelsList = [
+      ...(provider.staticModels || []),
+      ...(await LLMManager.getInstance().getModelListFromProvider(provider, {
+        apiKeys,
+        providerSettings,
+        serverEnv: serverEnv as any,
+      })),
+    ];
+
+    if (!modelsList.length) {
+      throw new Error(`No models found for provider ${provider.name}`);
+    }
+
+    modelDetails = modelsList.find((m) => m.name === currentModel);
+
+    if (!modelDetails) {
+      // Fallback to first model
+      logger.warn(
+        `MODEL [${currentModel}] not found in provider [${provider.name}]. Falling back to first model. ${modelsList[0].name}`,
+      );
+      modelDetails = modelsList[0];
+    }
+  }
+
+  let slicedMessages = processedMessages;
+  const { summary } = extractCurrentContext(processedMessages);
+  let summaryText: string | undefined = undefined;
+  let chatId: string | undefined = undefined;
+
+  if (summary && summary.type === 'chatSummary') {
+    chatId = summary.chatId;
+    summaryText = `Below is the Chat Summary till now, this is chat summary before the conversation provided by the user 
+you should also use this as historical message while providing the response to the user.        
+${summary.summary}`;
+
+    if (chatId) {
+      let index = 0;
+
+      for (let i = 0; i < processedMessages.length; i++) {
+        if (processedMessages[i].id === chatId) {
+          index = i;
+          break;
+        }
+      }
+      slicedMessages = processedMessages.slice(index + 1);
+    }
+  }
+
+  const extractTextContent = (message: Message) =>
+    Array.isArray(message.content)
+      ? (message.content.find((item) => item.type === 'text')?.text as string) || ''
+      : message.content;
+
+  // select files from the list of code file from the project that might be useful for the current request from the user
+  const resp = await generateText({
+    system: `
+        You are a software engineer. You are working on a project. tou need to summarize the work till now and provide a summary of the chat till now.
+
+        ${summaryText} 
+        
+        RULES:
+        * Only provide the summary of the chat till now.
+        * Do not provide any new information.
+        `,
+    prompt: `
+please provide a summary of the chat till now.
+below is the latest chat:
+
+---
+${slicedMessages
+  .map((x) => {
+    return `---\n[${x.role}] ${extractTextContent(x)}\n---`;
+  })
+  .join('\n')}
+---
+`,
+    model: provider.getModelInstance({
+      model: currentModel,
+      serverEnv,
+      apiKeys,
+      providerSettings,
+    }),
+  });
+
+  const response = resp.text;
+
+  if (onFinish) {
+    onFinish(resp);
+  }
+
+  return response;
+}

app/lib/.server/llm/model.ts

@@ -1,187 +0,0 @@
-/*
- * @ts-nocheck
- * Preventing TS checks with files presented in the video for a better presentation.
- */
-import { getAPIKey, getBaseURL } from '~/lib/.server/llm/api-key';
-import { createAnthropic } from '@ai-sdk/anthropic';
-import { createOpenAI } from '@ai-sdk/openai';
-import { createGoogleGenerativeAI } from '@ai-sdk/google';
-import { ollama } from 'ollama-ai-provider';
-import { createOpenRouter } from '@openrouter/ai-sdk-provider';
-import { createMistral } from '@ai-sdk/mistral';
-import { createCohere } from '@ai-sdk/cohere';
-import type { LanguageModelV1 } from 'ai';
-import type { IProviderSetting } from '~/types/model';
-
-export const DEFAULT_NUM_CTX = process.env.DEFAULT_NUM_CTX ? parseInt(process.env.DEFAULT_NUM_CTX, 10) : 32768;
-
-type OptionalApiKey = string | undefined;
-
-export function getAnthropicModel(apiKey: OptionalApiKey, model: string) {
-  const anthropic = createAnthropic({
-    apiKey,
-  });
-
-  return anthropic(model);
-}
-export function getOpenAILikeModel(baseURL: string, apiKey: OptionalApiKey, model: string) {
-  const openai = createOpenAI({
-    baseURL,
-    apiKey,
-  });
-
-  return openai(model);
-}
-
-export function getCohereAIModel(apiKey: OptionalApiKey, model: string) {
-  const cohere = createCohere({
-    apiKey,
-  });
-
-  return cohere(model);
-}
-
-export function getOpenAIModel(apiKey: OptionalApiKey, model: string) {
-  const openai = createOpenAI({
-    apiKey,
-  });
-
-  return openai(model);
-}
-
-export function getMistralModel(apiKey: OptionalApiKey, model: string) {
-  const mistral = createMistral({
-    apiKey,
-  });
-
-  return mistral(model);
-}
-
-export function getGoogleModel(apiKey: OptionalApiKey, model: string) {
-  const google = createGoogleGenerativeAI({
-    apiKey,
-  });
-
-  return google(model);
-}
-
-export function getGroqModel(apiKey: OptionalApiKey, model: string) {
-  const openai = createOpenAI({
-    baseURL: 'https://api.groq.com/openai/v1',
-    apiKey,
-  });
-
-  return openai(model);
-}
-
-export function getHuggingFaceModel(apiKey: OptionalApiKey, model: string) {
-  const openai = createOpenAI({
-    baseURL: 'https://api-inference.huggingface.co/v1/',
-    apiKey,
-  });
-
-  return openai(model);
-}
-
-export function getOllamaModel(baseURL: string, model: string) {
-  const ollamaInstance = ollama(model, {
-    numCtx: DEFAULT_NUM_CTX,
-  }) as LanguageModelV1 & { config: any };
-
-  ollamaInstance.config.baseURL = `${baseURL}/api`;
-
-  return ollamaInstance;
-}
-
-export function getDeepseekModel(apiKey: OptionalApiKey, model: string) {
-  const openai = createOpenAI({
-    baseURL: 'https://api.deepseek.com/beta',
-    apiKey,
-  });
-
-  return openai(model);
-}
-
-export function getOpenRouterModel(apiKey: OptionalApiKey, model: string) {
-  const openRouter = createOpenRouter({
-    apiKey,
-  });
-
-  return openRouter.chat(model);
-}
-
-export function getLMStudioModel(baseURL: string, model: string) {
-  const lmstudio = createOpenAI({
-    baseUrl: `${baseURL}/v1`,
-    apiKey: '',
-  });
-
-  return lmstudio(model);
-}
-
-export function getXAIModel(apiKey: OptionalApiKey, model: string) {
-  const openai = createOpenAI({
-    baseURL: 'https://api.x.ai/v1',
-    apiKey,
-  });
-
-  return openai(model);
-}
-
-export function getPerplexityModel(apiKey: OptionalApiKey, model: string) {
-  const perplexity = createOpenAI({
-    baseURL: 'https://api.perplexity.ai/',
-    apiKey,
-  });
-
-  return perplexity(model);
-}
-
-export function getModel(
-  provider: string,
-  model: string,
-  env: Env,
-  apiKeys?: Record<string, string>,
-  providerSettings?: Record<string, IProviderSetting>,
-) {
-  /*
-   * let apiKey; // Declare first
-   * let baseURL;
-   */
-
-  const apiKey = getAPIKey(env, provider, apiKeys); // Then assign
-  const baseURL = providerSettings?.[provider].baseUrl || getBaseURL(env, provider);
-
-  switch (provider) {
-    case 'Anthropic':
-      return getAnthropicModel(apiKey, model);
-    case 'OpenAI':
-      return getOpenAIModel(apiKey, model);
-    case 'Groq':
-      return getGroqModel(apiKey, model);
-    case 'HuggingFace':
-      return getHuggingFaceModel(apiKey, model);
-    case 'OpenRouter':
-      return getOpenRouterModel(apiKey, model);
-    case 'Google':
-      return getGoogleModel(apiKey, model);
-    case 'OpenAILike':
-      return getOpenAILikeModel(baseURL, apiKey, model);
-    case 'Together':
-      return getOpenAILikeModel(baseURL, apiKey, model);
-    case 'Deepseek':
-      return getDeepseekModel(apiKey, model);
-    case 'Mistral':
-      return getMistralModel(apiKey, model);
-    case 'LMStudio':
-      return getLMStudioModel(baseURL, model);
-    case 'xAI':
-      return getXAIModel(apiKey, model);
-    case 'Cohere':
-      return getCohereAIModel(apiKey, model);
-    case 'Perplexity':
-      return getPerplexityModel(apiKey, model);
-    default:
-      return getOllamaModel(baseURL, model);
-  }
-}

app/lib/.server/llm/select-context.ts

@@ -0,0 +1,233 @@
+import { generateText, type CoreTool, type GenerateTextResult, type Message } from 'ai';
+import ignore from 'ignore';
+import type { IProviderSetting } from '~/types/model';
+import { IGNORE_PATTERNS, type FileMap } from './constants';
+import { DEFAULT_MODEL, DEFAULT_PROVIDER, PROVIDER_LIST } from '~/utils/constants';
+import { createFilesContext, extractCurrentContext, extractPropertiesFromMessage, simplifyBoltActions } from './utils';
+import { createScopedLogger } from '~/utils/logger';
+import { LLMManager } from '~/lib/modules/llm/manager';
+
+// Common patterns to ignore, similar to .gitignore
+
+const ig = ignore().add(IGNORE_PATTERNS);
+const logger = createScopedLogger('select-context');
+
+export async function selectContext(props: {
+  messages: Message[];
+  env?: Env;
+  apiKeys?: Record<string, string>;
+  files: FileMap;
+  providerSettings?: Record<string, IProviderSetting>;
+  promptId?: string;
+  contextOptimization?: boolean;
+  summary: string;
+  onFinish?: (resp: GenerateTextResult<Record<string, CoreTool<any, any>>, never>) => void;
+}) {
+  const { messages, env: serverEnv, apiKeys, files, providerSettings, contextOptimization, summary, onFinish } = props;
+  let currentModel = DEFAULT_MODEL;
+  let currentProvider = DEFAULT_PROVIDER.name;
+  const processedMessages = messages.map((message) => {
+    if (message.role === 'user') {
+      const { model, provider, content } = extractPropertiesFromMessage(message);
+      currentModel = model;
+      currentProvider = provider;
+
+      return { ...message, content };
+    } else if (message.role == 'assistant') {
+      let content = message.content;
+
+      if (contextOptimization) {
+        content = simplifyBoltActions(content);
+      }
+
+      return { ...message, content };
+    }
+
+    return message;
+  });
+
+  const provider = PROVIDER_LIST.find((p) => p.name === currentProvider) || DEFAULT_PROVIDER;
+  const staticModels = LLMManager.getInstance().getStaticModelListFromProvider(provider);
+  let modelDetails = staticModels.find((m) => m.name === currentModel);
+
+  if (!modelDetails) {
+    const modelsList = [
+      ...(provider.staticModels || []),
+      ...(await LLMManager.getInstance().getModelListFromProvider(provider, {
+        apiKeys,
+        providerSettings,
+        serverEnv: serverEnv as any,
+      })),
+    ];
+
+    if (!modelsList.length) {
+      throw new Error(`No models found for provider ${provider.name}`);
+    }
+
+    modelDetails = modelsList.find((m) => m.name === currentModel);
+
+    if (!modelDetails) {
+      // Fallback to first model
+      logger.warn(
+        `MODEL [${currentModel}] not found in provider [${provider.name}]. Falling back to first model. ${modelsList[0].name}`,
+      );
+      modelDetails = modelsList[0];
+    }
+  }
+
+  const { codeContext } = extractCurrentContext(processedMessages);
+
+  let filePaths = getFilePaths(files || {});
+  filePaths = filePaths.filter((x) => {
+    const relPath = x.replace('/home/project/', '');
+    return !ig.ignores(relPath);
+  });
+
+  let context = '';
+  const currrentFiles: string[] = [];
+  const contextFiles: FileMap = {};
+
+  if (codeContext?.type === 'codeContext') {
+    const codeContextFiles: string[] = codeContext.files;
+    Object.keys(files || {}).forEach((path) => {
+      let relativePath = path;
+
+      if (path.startsWith('/home/project/')) {
+        relativePath = path.replace('/home/project/', '');
+      }
+
+      if (codeContextFiles.includes(relativePath)) {
+        contextFiles[relativePath] = files[path];
+        currrentFiles.push(relativePath);
+      }
+    });
+    context = createFilesContext(contextFiles);
+  }
+
+  const summaryText = `Here is the summary of the chat till now: ${summary}`;
+
+  const extractTextContent = (message: Message) =>
+    Array.isArray(message.content)
+      ? (message.content.find((item) => item.type === 'text')?.text as string) || ''
+      : message.content;
+
+  const lastUserMessage = processedMessages.filter((x) => x.role == 'user').pop();
+
+  if (!lastUserMessage) {
+    throw new Error('No user message found');
+  }
+
+  // select files from the list of code file from the project that might be useful for the current request from the user
+  const resp = await generateText({
+    system: `
+        You are a software engineer. You are working on a project. You have access to the following files:
+
+        AVAILABLE FILES PATHS
+        ---
+        ${filePaths.map((path) => `- ${path}`).join('\n')}
+        ---
+        
+        You have following code loaded in the context buffer that you can refer to:
+
+        CURRENT CONTEXT BUFFER
+        ---
+        ${context}
+        ---
+
+        Now, you are given a task. You need to select the files that are relevant to the task from the list of files above.
+
+        RESPONSE FORMAT:
+        your response shoudl be in following format:
+---
+<updateContextBuffer>
+    <includeFile path="path/to/file"/>
+    <excludeFile path="path/to/file"/>
+</updateContextBuffer>
+---
+        * Your should start with <updateContextBuffer> and end with </updateContextBuffer>. 
+        * You can include multiple <includeFile> and <excludeFile> tags in the response.
+        * You should not include any other text in the response.
+        * You should not include any file that is not in the list of files above.
+        * You should not include any file that is already in the context buffer.
+        * If no changes are needed, you can leave the response empty updateContextBuffer tag.
+        `,
+    prompt: `
+        ${summaryText}
+
+        Users Question: ${extractTextContent(lastUserMessage)}
+
+        update the context buffer with the files that are relevant to the task from the list of files above.
+
+        CRITICAL RULES:
+        * Only include relevant files in the context buffer.
+        * context buffer should not include any file that is not in the list of files above.
+        * context buffer is extremlly expensive, so only include files that are absolutely necessary.
+        * If no changes are needed, you can leave the response empty updateContextBuffer tag.
+        * Only 5 files can be placed in the context buffer at a time.
+        * if the buffer is full, you need to exclude files that is not needed and include files that is relevent.
+
+        `,
+    model: provider.getModelInstance({
+      model: currentModel,
+      serverEnv,
+      apiKeys,
+      providerSettings,
+    }),
+  });
+
+  const response = resp.text;
+  const updateContextBuffer = response.match(/<updateContextBuffer>([\s\S]*?)<\/updateContextBuffer>/);
+
+  if (!updateContextBuffer) {
+    throw new Error('Invalid response. Please follow the response format');
+  }
+
+  const includeFiles =
+    updateContextBuffer[1]
+      .match(/<includeFile path="(.*?)"/gm)
+      ?.map((x) => x.replace('<includeFile path="', '').replace('"', '')) || [];
+  const excludeFiles =
+    updateContextBuffer[1]
+      .match(/<excludeFile path="(.*?)"/gm)
+      ?.map((x) => x.replace('<excludeFile path="', '').replace('"', '')) || [];
+
+  const filteredFiles: FileMap = {};
+  excludeFiles.forEach((path) => {
+    delete contextFiles[path];
+  });
+  includeFiles.forEach((path) => {
+    let fullPath = path;
+
+    if (!path.startsWith('/home/project/')) {
+      fullPath = `/home/project/${path}`;
+    }
+
+    if (!filePaths.includes(fullPath)) {
+      throw new Error(`File ${path} is not in the list of files above.`);
+    }
+
+    if (currrentFiles.includes(path)) {
+      return;
+    }
+
+    filteredFiles[path] = files[fullPath];
+  });
+
+  if (onFinish) {
+    onFinish(resp);
+  }
+
+  return filteredFiles;
+
+  // generateText({
+}
+
+export function getFilePaths(files: FileMap) {
+  let filePaths = Object.keys(files);
+  filePaths = filePaths.filter((x) => {
+    const relPath = x.replace('/home/project/', '');
+    return !ig.ignores(relPath);
+  });
+
+  return filePaths;
+}

app/lib/.server/llm/stream-text.ts

@@ -1,175 +1,60 @@
-import { convertToCoreMessages, streamText as _streamText } from 'ai';
+import { convertToCoreMessages, streamText as _streamText, type Message } from 'ai';
-import { getModel } from '~/lib/.server/llm/model';
+import { MAX_TOKENS, type FileMap } from './constants';
-import { MAX_TOKENS } from './constants';
 import { getSystemPrompt } from '~/lib/common/prompts/prompts';
-import {
+import { DEFAULT_MODEL, DEFAULT_PROVIDER, MODIFICATIONS_TAG_NAME, PROVIDER_LIST, WORK_DIR } from '~/utils/constants';
-  DEFAULT_MODEL,
-  DEFAULT_PROVIDER,
-  getModelList,
-  MODEL_REGEX,
-  MODIFICATIONS_TAG_NAME,
-  PROVIDER_REGEX,
-  WORK_DIR,
-} from '~/utils/constants';
-import ignore from 'ignore';
 import type { IProviderSetting } from '~/types/model';
 import { PromptLibrary } from '~/lib/common/prompt-library';
 import { allowedHTMLElements } from '~/utils/markdown';
-
+import { LLMManager } from '~/lib/modules/llm/manager';
-interface ToolResult<Name extends string, Args, Result> {
+import { createScopedLogger } from '~/utils/logger';
-  toolCallId: string;
+import { createFilesContext, extractPropertiesFromMessage, simplifyBoltActions } from './utils';
-  toolName: Name;
+import { getFilePaths } from './select-context';
-  args: Args;
-  result: Result;
-}
-
-interface Message {
-  role: 'user' | 'assistant';
-  content: string;
-  toolInvocations?: ToolResult<string, unknown, unknown>[];
-  model?: string;
-}
 
 export type Messages = Message[];
 
 export type StreamingOptions = Omit<Parameters<typeof _streamText>[0], 'model'>;
 
-export interface File {
+const logger = createScopedLogger('stream-text');
-  type: 'file';
-  content: string;
-  isBinary: boolean;
-}
-
-export interface Folder {
-  type: 'folder';
-}
-
-type Dirent = File | Folder;
-
-export type FileMap = Record<string, Dirent | undefined>;
-
-export function simplifyBoltActions(input: string): string {
-  // Using regex to match boltAction tags that have type="file"
-  const regex = /(<boltAction[^>]*type="file"[^>]*>)([\s\S]*?)(<\/boltAction>)/g;
-
-  // Replace each matching occurrence
-  return input.replace(regex, (_0, openingTag, _2, closingTag) => {
-    return `${openingTag}\n          ...\n        ${closingTag}`;
-  });
-}
-
-// Common patterns to ignore, similar to .gitignore
-const IGNORE_PATTERNS = [
-  'node_modules/**',
-  '.git/**',
-  'dist/**',
-  'build/**',
-  '.next/**',
-  'coverage/**',
-  '.cache/**',
-  '.vscode/**',
-  '.idea/**',
-  '**/*.log',
-  '**/.DS_Store',
-  '**/npm-debug.log*',
-  '**/yarn-debug.log*',
-  '**/yarn-error.log*',
-  '**/*lock.json',
-  '**/*lock.yml',
-];
-const ig = ignore().add(IGNORE_PATTERNS);
-
-function createFilesContext(files: FileMap) {
-  let filePaths = Object.keys(files);
-  filePaths = filePaths.filter((x) => {
-    const relPath = x.replace('/home/project/', '');
-    return !ig.ignores(relPath);
-  });
-
-  const fileContexts = filePaths
-    .filter((x) => files[x] && files[x].type == 'file')
-    .map((path) => {
-      const dirent = files[path];
-
-      if (!dirent || dirent.type == 'folder') {
-        return '';
-      }
-
-      const codeWithLinesNumbers = dirent.content
-        .split('\n')
-        .map((v, i) => `${i + 1}|${v}`)
-        .join('\n');
-
-      return `<file path="${path}">\n${codeWithLinesNumbers}\n</file>`;
-    });
-
-  return `Below are the code files present in the webcontainer:\ncode format:\n<line number>|<line content>\n <codebase>${fileContexts.join('\n\n')}\n\n</codebase>`;
-}
-
-function extractPropertiesFromMessage(message: Message): { model: string; provider: string; content: string } {
-  const textContent = Array.isArray(message.content)
-    ? message.content.find((item) => item.type === 'text')?.text || ''
-    : message.content;
-
-  const modelMatch = textContent.match(MODEL_REGEX);
-  const providerMatch = textContent.match(PROVIDER_REGEX);
-
-  /*
-   * Extract model
-   * const modelMatch = message.content.match(MODEL_REGEX);
-   */
-  const model = modelMatch ? modelMatch[1] : DEFAULT_MODEL;
-
-  /*
-   * Extract provider
-   * const providerMatch = message.content.match(PROVIDER_REGEX);
-   */
-  const provider = providerMatch ? providerMatch[1] : DEFAULT_PROVIDER.name;
-
-  const cleanedContent = Array.isArray(message.content)
-    ? message.content.map((item) => {
-        if (item.type === 'text') {
-          return {
-            type: 'text',
-            text: item.text?.replace(MODEL_REGEX, '').replace(PROVIDER_REGEX, ''),
-          };
-        }
-
-        return item; // Preserve image_url and other types as is
-      })
-    : textContent.replace(MODEL_REGEX, '').replace(PROVIDER_REGEX, '');
-
-  return { model, provider, content: cleanedContent };
-}
 
 export async function streamText(props: {
-  messages: Messages;
+  messages: Omit<Message, 'id'>[];
-  env: Env;
+  env?: Env;
   options?: StreamingOptions;
   apiKeys?: Record<string, string>;
   files?: FileMap;
   providerSettings?: Record<string, IProviderSetting>;
   promptId?: string;
+  contextOptimization?: boolean;
+  contextFiles?: FileMap;
+  summary?: string;
 }) {
-  const { messages, env, options, apiKeys, files, providerSettings, promptId } = props;
+  const {
+    messages,
+    env: serverEnv,
+    options,
+    apiKeys,
+    files,
+    providerSettings,
+    promptId,
+    contextOptimization,
+    contextFiles,
+    summary,
+  } = props;
   let currentModel = DEFAULT_MODEL;
   let currentProvider = DEFAULT_PROVIDER.name;
-  const MODEL_LIST = await getModelList(apiKeys || {}, providerSettings);
+  let processedMessages = messages.map((message) => {
-  const processedMessages = messages.map((message) => {
     if (message.role === 'user') {
       const { model, provider, content } = extractPropertiesFromMessage(message);
-
-      if (MODEL_LIST.find((m) => m.name === model)) {
       currentModel = model;
-      }
-
       currentProvider = provider;
 
       return { ...message, content };
     } else if (message.role == 'assistant') {
-      const content = message.content;
+      let content = message.content;
 
-      // content = simplifyBoltActions(content);
+      if (contextOptimization) {
+        content = simplifyBoltActions(content);
+      }
 
       return { ...message, content };
     }
@@ -177,7 +62,34 @@ export async function streamText(props: {
     return message;
   });
 
-  const modelDetails = MODEL_LIST.find((m) => m.name === currentModel);
+  const provider = PROVIDER_LIST.find((p) => p.name === currentProvider) || DEFAULT_PROVIDER;
+  const staticModels = LLMManager.getInstance().getStaticModelListFromProvider(provider);
+  let modelDetails = staticModels.find((m) => m.name === currentModel);
+
+  if (!modelDetails) {
+    const modelsList = [
+      ...(provider.staticModels || []),
+      ...(await LLMManager.getInstance().getModelListFromProvider(provider, {
+        apiKeys,
+        providerSettings,
+        serverEnv: serverEnv as any,
+      })),
+    ];
+
+    if (!modelsList.length) {
+      throw new Error(`No models found for provider ${provider.name}`);
+    }
+
+    modelDetails = modelsList.find((m) => m.name === currentModel);
+
+    if (!modelDetails) {
+      // Fallback to first model
+      logger.warn(
+        `MODEL [${currentModel}] not found in provider [${provider.name}]. Falling back to first model. ${modelsList[0].name}`,
+      );
+      modelDetails = modelsList[0];
+    }
+  }
 
   const dynamicMaxTokens = modelDetails && modelDetails.maxTokenAllowed ? modelDetails.maxTokenAllowed : MAX_TOKENS;
 
@@ -187,16 +99,52 @@ export async function streamText(props: {
       allowedHtmlElements: allowedHTMLElements,
       modificationTagName: MODIFICATIONS_TAG_NAME,
     }) ?? getSystemPrompt();
-  let codeContext = '';
 
-  if (files) {
+  if (files && contextFiles && contextOptimization) {
-    codeContext = createFilesContext(files);
+    const codeContext = createFilesContext(contextFiles, true);
-    codeContext = '';
+    const filePaths = getFilePaths(files);
-    systemPrompt = `${systemPrompt}\n\n ${codeContext}`;
+
+    systemPrompt = `${systemPrompt}
+Below are all the files present in the project:
+---
+${filePaths.join('\n')}
+---
+
+Below is the context loaded into context buffer for you to have knowledge of and might need changes to fullfill current user request.
+CONTEXT BUFFER:
+---
+${codeContext}
+---
+`;
+
+    if (summary) {
+      systemPrompt = `${systemPrompt}
+      below is the chat history till now
+CHAT SUMMARY:
+---
+${props.summary}
+---
+`;
+
+      const lastMessage = processedMessages.pop();
+
+      if (lastMessage) {
+        processedMessages = [lastMessage];
+      }
+    }
   }
 
-  return _streamText({
+  logger.info(`Sending llm call to ${provider.name} with model ${modelDetails.name}`);
-    model: getModel(currentProvider, currentModel, env, apiKeys, providerSettings) as any,
+
+  // console.log(systemPrompt,processedMessages);
+
+  return await _streamText({
+    model: provider.getModelInstance({
+      model: modelDetails.name,
+      serverEnv,
+      apiKeys,
+      providerSettings,
+    }),
     system: systemPrompt,
     maxTokens: dynamicMaxTokens,
     messages: convertToCoreMessages(processedMessages as any),

app/lib/.server/llm/utils.ts

@@ -0,0 +1,128 @@
+import { type Message } from 'ai';
+import { DEFAULT_MODEL, DEFAULT_PROVIDER, MODEL_REGEX, PROVIDER_REGEX } from '~/utils/constants';
+import { IGNORE_PATTERNS, type FileMap } from './constants';
+import ignore from 'ignore';
+import type { ContextAnnotation } from '~/types/context';
+
+export function extractPropertiesFromMessage(message: Omit<Message, 'id'>): {
+  model: string;
+  provider: string;
+  content: string;
+} {
+  const textContent = Array.isArray(message.content)
+    ? message.content.find((item) => item.type === 'text')?.text || ''
+    : message.content;
+
+  const modelMatch = textContent.match(MODEL_REGEX);
+  const providerMatch = textContent.match(PROVIDER_REGEX);
+
+  /*
+   * Extract model
+   * const modelMatch = message.content.match(MODEL_REGEX);
+   */
+  const model = modelMatch ? modelMatch[1] : DEFAULT_MODEL;
+
+  /*
+   * Extract provider
+   * const providerMatch = message.content.match(PROVIDER_REGEX);
+   */
+  const provider = providerMatch ? providerMatch[1] : DEFAULT_PROVIDER.name;
+
+  const cleanedContent = Array.isArray(message.content)
+    ? message.content.map((item) => {
+        if (item.type === 'text') {
+          return {
+            type: 'text',
+            text: item.text?.replace(MODEL_REGEX, '').replace(PROVIDER_REGEX, ''),
+          };
+        }
+
+        return item; // Preserve image_url and other types as is
+      })
+    : textContent.replace(MODEL_REGEX, '').replace(PROVIDER_REGEX, '');
+
+  return { model, provider, content: cleanedContent };
+}
+
+export function simplifyBoltActions(input: string): string {
+  // Using regex to match boltAction tags that have type="file"
+  const regex = /(<boltAction[^>]*type="file"[^>]*>)([\s\S]*?)(<\/boltAction>)/g;
+
+  // Replace each matching occurrence
+  return input.replace(regex, (_0, openingTag, _2, closingTag) => {
+    return `${openingTag}\n          ...\n        ${closingTag}`;
+  });
+}
+
+export function createFilesContext(files: FileMap, useRelativePath?: boolean) {
+  const ig = ignore().add(IGNORE_PATTERNS);
+  let filePaths = Object.keys(files);
+  filePaths = filePaths.filter((x) => {
+    const relPath = x.replace('/home/project/', '');
+    return !ig.ignores(relPath);
+  });
+
+  const fileContexts = filePaths
+    .filter((x) => files[x] && files[x].type == 'file')
+    .map((path) => {
+      const dirent = files[path];
+
+      if (!dirent || dirent.type == 'folder') {
+        return '';
+      }
+
+      const codeWithLinesNumbers = dirent.content
+        .split('\n')
+        // .map((v, i) => `${i + 1}|${v}`)
+        .join('\n');
+
+      let filePath = path;
+
+      if (useRelativePath) {
+        filePath = path.replace('/home/project/', '');
+      }
+
+      return `<file path="${filePath}">\n${codeWithLinesNumbers}\n</file>`;
+    });
+
+  return `<codebase>${fileContexts.join('\n\n')}\n\n</codebase>`;
+}
+
+export function extractCurrentContext(messages: Message[]) {
+  const lastAssistantMessage = messages.filter((x) => x.role == 'assistant').slice(-1)[0];
+
+  if (!lastAssistantMessage) {
+    return { summary: undefined, codeContext: undefined };
+  }
+
+  let summary: ContextAnnotation | undefined;
+  let codeContext: ContextAnnotation | undefined;
+
+  if (!lastAssistantMessage.annotations?.length) {
+    return { summary: undefined, codeContext: undefined };
+  }
+
+  for (let i = 0; i < lastAssistantMessage.annotations.length; i++) {
+    const annotation = lastAssistantMessage.annotations[i];
+
+    if (!annotation || typeof annotation !== 'object') {
+      continue;
+    }
+
+    if (!(annotation as any).type) {
+      continue;
+    }
+
+    const annotationObject = annotation as any;
+
+    if (annotationObject.type === 'codeContext') {
+      codeContext = annotationObject;
+      break;
+    } else if (annotationObject.type === 'chatSummary') {
+      summary = annotationObject;
+      break;
+    }
+  }
+
+  return { summary, codeContext };
+}

app/lib/api/cookies.ts

@@ -0,0 +1,33 @@
+export function parseCookies(cookieHeader: string | null) {
+  const cookies: Record<string, string> = {};
+
+  if (!cookieHeader) {
+    return cookies;
+  }
+
+  // Split the cookie string by semicolons and spaces
+  const items = cookieHeader.split(';').map((cookie) => cookie.trim());
+
+  items.forEach((item) => {
+    const [name, ...rest] = item.split('=');
+
+    if (name && rest.length > 0) {
+      // Decode the name and value, and join value parts in case it contains '='
+      const decodedName = decodeURIComponent(name.trim());
+      const decodedValue = decodeURIComponent(rest.join('=').trim());
+      cookies[decodedName] = decodedValue;
+    }
+  });
+
+  return cookies;
+}
+
+export function getApiKeysFromCookie(cookieHeader: string | null): Record<string, string> {
+  const cookies = parseCookies(cookieHeader);
+  return cookies.apiKeys ? JSON.parse(cookies.apiKeys) : {};
+}
+
+export function getProviderSettingsFromCookie(cookieHeader: string | null): Record<string, any> {
+  const cookies = parseCookies(cookieHeader);
+  return cookies.providers ? JSON.parse(cookies.providers) : {};
+}

app/lib/common/prompts/optimized.ts

@@ -99,16 +99,12 @@ Examples:
       Certainly, I can help you create a JavaScript function to calculate the factorial of a number.
 
       <boltArtifact id="factorial-function" title="JavaScript Factorial Function">
-        <boltAction type="file" filePath="index.js">
+        <boltAction type="file" filePath="index.js">function factorial(n) {
-function factorial(n) {
   ...
 }
 
-...
+...</boltAction>
-        </boltAction>
+        <boltAction type="shell">node index.js</boltAction>
-        <boltAction type="shell">
-node index.js
-        </boltAction>
       </boltArtifact>
     </assistant_response>
   </example>
@@ -119,24 +115,16 @@ node index.js
       Certainly! I'd be happy to help you build a snake game using JavaScript and HTML5 Canvas. This will be a basic implementation that you can later expand upon. Let's create the game step by step.
 
       <boltArtifact id="snake-game" title="Snake Game in HTML and JavaScript">
-        <boltAction type="file" filePath="package.json">
+        <boltAction type="file" filePath="package.json">{
-{
   "name": "snake",
   "scripts": {
     "dev": "vite"
   }
   ...
-}
+}</boltAction>
-        </boltAction>
+        <boltAction type="shell">npm install --save-dev vite</boltAction>
-        <boltAction type="shell">
+        <boltAction type="file" filePath="index.html">...</boltAction>
-npm install --save-dev vite
+        <boltAction type="start">npm run dev</boltAction>
-        </boltAction>
-        <boltAction type="file" filePath="index.html">
-...
-        </boltAction>
-        <boltAction type="start">
-npm run dev
-        </boltAction>
       </boltArtifact>
 
       Now you can play the Snake game by opening the provided local server URL in your browser. Use the arrow keys to control the snake. Eat the red food to grow and increase your score. The game ends if you hit the wall or your own tail.
@@ -149,8 +137,7 @@ npm run dev
       Certainly! I'll create a bouncing ball with real gravity using React. We'll use the react-spring library for physics-based animations.
 
       <boltArtifact id="bouncing-ball-react" title="Bouncing Ball with Gravity in React">
-        <boltAction type="file" filePath="package.json">
+        <boltAction type="file" filePath="package.json">{
-{
   "name": "bouncing-ball",
   "private": true,
   "version": "0.0.0",
@@ -171,23 +158,12 @@ npm run dev
     "@vitejs/plugin-react": "^3.1.0",
     "vite": "^4.2.0"
   }
-}
+}</boltAction>
-        </boltAction>
+        <boltAction type="file" filePath="index.html">...</boltAction>
-        <boltAction type="file" filePath="index.html">
+        <boltAction type="file" filePath="src/main.jsx">...</boltAction>
-...
+        <boltAction type="file" filePath="src/index.css">...</boltAction>
-        </boltAction>
+        <boltAction type="file" filePath="src/App.jsx">...</boltAction>
-        <boltAction type="file" filePath="src/main.jsx">
+        <boltAction type="start">npm run dev</boltAction>
-...
-        </boltAction>
-        <boltAction type="file" filePath="src/index.css">
-...
-        </boltAction>
-        <boltAction type="file" filePath="src/App.jsx">
-...
-        </boltAction>
-        <boltAction type="start">
-npm run dev
-        </boltAction>
       </boltArtifact>
 
       You can now view the bouncing ball animation in the preview. The ball will start falling from the top of the screen and bounce realistically when it hits the bottom.

app/lib/common/prompts/prompts.ts

@@ -231,17 +231,12 @@ Here are some examples of correct usage of artifacts:
       Certainly, I can help you create a JavaScript function to calculate the factorial of a number.
 
       <boltArtifact id="factorial-function" title="JavaScript Factorial Function">
-        <boltAction type="file" filePath="index.js">
+        <boltAction type="file" filePath="index.js">function factorial(n) {
-          function factorial(n) {
   ...
-          }
+}
+...</boltAction>
 
-          ...
+        <boltAction type="shell">node index.js</boltAction>
-        </boltAction>
-
-        <boltAction type="shell">
-          node index.js
-        </boltAction>
       </boltArtifact>
     </assistant_response>
   </example>
@@ -253,27 +248,19 @@ Here are some examples of correct usage of artifacts:
       Certainly! I'd be happy to help you build a snake game using JavaScript and HTML5 Canvas. This will be a basic implementation that you can later expand upon. Let's create the game step by step.
 
       <boltArtifact id="snake-game" title="Snake Game in HTML and JavaScript">
-        <boltAction type="file" filePath="package.json">
+        <boltAction type="file" filePath="package.json">{
-          {
   "name": "snake",
   "scripts": {
     "dev": "vite"
   }
   ...
-          }
+}</boltAction>
-        </boltAction>
 
-        <boltAction type="shell">
+        <boltAction type="shell">npm install --save-dev vite</boltAction>
-          npm install --save-dev vite
-        </boltAction>
 
-        <boltAction type="file" filePath="index.html">
+        <boltAction type="file" filePath="index.html">...</boltAction>
-          ...
-        </boltAction>
 
-        <boltAction type="start">
+        <boltAction type="start">npm run dev</boltAction>
-          npm run dev
-        </boltAction>
       </boltArtifact>
 
       Now you can play the Snake game by opening the provided local server URL in your browser. Use the arrow keys to control the snake. Eat the red food to grow and increase your score. The game ends if you hit the wall or your own tail.
@@ -287,8 +274,7 @@ Here are some examples of correct usage of artifacts:
       Certainly! I'll create a bouncing ball with real gravity using React. We'll use the react-spring library for physics-based animations.
 
       <boltArtifact id="bouncing-ball-react" title="Bouncing Ball with Gravity in React">
-        <boltAction type="file" filePath="package.json">
+        <boltAction type="file" filePath="package.json">{
-          {
   "name": "bouncing-ball",
   "private": true,
   "version": "0.0.0",
@@ -309,28 +295,17 @@ Here are some examples of correct usage of artifacts:
     "@vitejs/plugin-react": "^3.1.0",
     "vite": "^4.2.0"
   }
-          }
+}</boltAction>
-        </boltAction>
 
-        <boltAction type="file" filePath="index.html">
+        <boltAction type="file" filePath="index.html">...</boltAction>
-          ...
-        </boltAction>
 
-        <boltAction type="file" filePath="src/main.jsx">
+        <boltAction type="file" filePath="src/main.jsx">...</boltAction>
-          ...
-        </boltAction>
 
-        <boltAction type="file" filePath="src/index.css">
+        <boltAction type="file" filePath="src/index.css">...</boltAction>
-          ...
-        </boltAction>
 
-        <boltAction type="file" filePath="src/App.jsx">
+        <boltAction type="file" filePath="src/App.jsx">...</boltAction>
-          ...
-        </boltAction>
 
-        <boltAction type="start">
+        <boltAction type="start">npm run dev</boltAction>
-          npm run dev
-        </boltAction>
       </boltArtifact>
 
       You can now view the bouncing ball animation in the preview. The ball will start falling from the top of the screen and bounce realistically when it hits the bottom.

app/lib/hooks/useEditChatDescription.ts

@@ -3,10 +3,10 @@ import { useCallback, useEffect, useState } from 'react';
 import { toast } from 'react-toastify';
 import {
   chatId as chatIdStore,
-  description as descriptionStore,
   db,
-  updateChatDescription,
+  description as descriptionStore,
   getMessages,
+  updateChatDescription,
 } from '~/lib/persistence';
 
 interface EditChatDescriptionOptions {
@@ -92,7 +92,9 @@ export function useEditChatDescription({
     }
 
     const lengthValid = trimmedDesc.length > 0 && trimmedDesc.length <= 100;
-    const characterValid = /^[a-zA-Z0-9\s]+$/.test(trimmedDesc);
+
+    // Allow letters, numbers, spaces, and common punctuation but exclude characters that could cause issues
+    const characterValid = /^[a-zA-Z0-9\s\-_.,!?()[\]{}'"]+$/.test(trimmedDesc);
 
     if (!lengthValid) {
       toast.error('Description must be between 1 and 100 characters.');
@@ -100,7 +102,7 @@ export function useEditChatDescription({
     }
 
     if (!characterValid) {
-      toast.error('Description can only contain alphanumeric characters and spaces.');
+      toast.error('Description can only contain letters, numbers, spaces, and basic punctuation.');
       return false;
     }
 

app/lib/hooks/useGit.ts

@@ -49,6 +49,20 @@ export function useGit() {
       }
 
       fileData.current = {};
+
+      const headers: {
+        [x: string]: string;
+      } = {
+        'User-Agent': 'bolt.diy',
+      };
+
+      const auth = lookupSavedPassword(url);
+
+      if (auth) {
+        headers.Authorization = `Basic ${Buffer.from(`${auth.username}:${auth.password}`).toString('base64')}`;
+      }
+
+      try {
         await git.clone({
           fs,
           http,
@@ -56,10 +70,10 @@ export function useGit() {
           url,
           depth: 1,
           singleBranch: true,
-        corsProxy: 'https://cors.isomorphic-git.org',
+          corsProxy: '/api/git-proxy',
-        onAuth: (url) => {
+          headers,
-          // let domain=url.split("/")[2]
 
+          onAuth: (url) => {
             let auth = lookupSavedPassword(url);
 
             if (auth) {
@@ -91,8 +105,12 @@ export function useGit() {
         }
 
         return { workdir: webcontainer.workdir, data };
+      } catch (error) {
+        console.error('Git clone error:', error);
+        throw error;
+      }
     },
-    [webcontainer],
+    [webcontainer, fs, ready],
   );
 
   return { ready, gitClone };
@@ -104,55 +122,86 @@ const getFs = (
 ) => ({
   promises: {
     readFile: async (path: string, options: any) => {
-      const encoding = options.encoding;
+      const encoding = options?.encoding;
       const relativePath = pathUtils.relative(webcontainer.workdir, path);
-      console.log('readFile', relativePath, encoding);
 
-      return await webcontainer.fs.readFile(relativePath, encoding);
+      try {
+        const result = await webcontainer.fs.readFile(relativePath, encoding);
+
+        return result;
+      } catch (error) {
+        throw error;
+      }
     },
     writeFile: async (path: string, data: any, options: any) => {
       const encoding = options.encoding;
       const relativePath = pathUtils.relative(webcontainer.workdir, path);
-      console.log('writeFile', { relativePath, data, encoding });
 
       if (record.current) {
         record.current[relativePath] = { data, encoding };
       }
 
-      return await webcontainer.fs.writeFile(relativePath, data, { ...options, encoding });
+      try {
+        const result = await webcontainer.fs.writeFile(relativePath, data, { ...options, encoding });
+
+        return result;
+      } catch (error) {
+        throw error;
+      }
     },
     mkdir: async (path: string, options: any) => {
       const relativePath = pathUtils.relative(webcontainer.workdir, path);
-      console.log('mkdir', relativePath, options);
 
-      return await webcontainer.fs.mkdir(relativePath, { ...options, recursive: true });
+      try {
+        const result = await webcontainer.fs.mkdir(relativePath, { ...options, recursive: true });
+
+        return result;
+      } catch (error) {
+        throw error;
+      }
     },
     readdir: async (path: string, options: any) => {
       const relativePath = pathUtils.relative(webcontainer.workdir, path);
-      console.log('readdir', relativePath, options);
 
-      return await webcontainer.fs.readdir(relativePath, options);
+      try {
+        const result = await webcontainer.fs.readdir(relativePath, options);
+
+        return result;
+      } catch (error) {
+        throw error;
+      }
     },
     rm: async (path: string, options: any) => {
       const relativePath = pathUtils.relative(webcontainer.workdir, path);
-      console.log('rm', relativePath, options);
 
-      return await webcontainer.fs.rm(relativePath, { ...(options || {}) });
+      try {
+        const result = await webcontainer.fs.rm(relativePath, { ...(options || {}) });
+
+        return result;
+      } catch (error) {
+        throw error;
+      }
     },
     rmdir: async (path: string, options: any) => {
       const relativePath = pathUtils.relative(webcontainer.workdir, path);
-      console.log('rmdir', relativePath, options);
 
-      return await webcontainer.fs.rm(relativePath, { recursive: true, ...options });
+      try {
+        const result = await webcontainer.fs.rm(relativePath, { recursive: true, ...options });
+
+        return result;
+      } catch (error) {
+        throw error;
+      }
     },
-
-    // Mock implementations for missing functions
     unlink: async (path: string) => {
-      // unlink is just removing a single file
       const relativePath = pathUtils.relative(webcontainer.workdir, path);
-      return await webcontainer.fs.rm(relativePath, { recursive: false });
-    },
 
+      try {
+        return await webcontainer.fs.rm(relativePath, { recursive: false });
+      } catch (error) {
+        throw error;
+      }
+    },
     stat: async (path: string) => {
       try {
         const relativePath = pathUtils.relative(webcontainer.workdir, path);
@@ -185,23 +234,12 @@ const getFs = (
         throw err;
       }
     },
-
     lstat: async (path: string) => {
-      /*
-       * For basic usage, lstat can return the same as stat
-       * since we're not handling symbolic links
-       */
       return await getFs(webcontainer, record).promises.stat(path);
     },
-
     readlink: async (path: string) => {
-      /*
-       * Since WebContainer doesn't support symlinks,
-       * we'll throw a "not a symbolic link" error
-       */
       throw new Error(`EINVAL: invalid argument, readlink '${path}'`);
     },
-
     symlink: async (target: string, path: string) => {
       /*
        * Since WebContainer doesn't support symlinks,

app/lib/hooks/useSettings.tsx

@@ -7,19 +7,23 @@ import {
   promptStore,
   providersStore,
   latestBranchStore,
+  autoSelectStarterTemplate,
+  enableContextOptimizationStore,
 } from '~/lib/stores/settings';
 import { useCallback, useEffect, useState } from 'react';
 import Cookies from 'js-cookie';
 import type { IProviderSetting, ProviderInfo } from '~/types/model';
 import { logStore } from '~/lib/stores/logs'; // assuming logStore is imported from this location
-import commit from '~/commit.json';
 
 interface CommitData {
   commit: string;
   version?: string;
 }
 
-const commitJson: CommitData = commit;
+const versionData: CommitData = {
+  commit: __COMMIT_HASH,
+  version: __APP_VERSION,
+};
 
 export function useSettings() {
   const providers = useStore(providersStore);
@@ -28,23 +32,19 @@ export function useSettings() {
   const promptId = useStore(promptStore);
   const isLocalModel = useStore(isLocalModelsEnabled);
   const isLatestBranch = useStore(latestBranchStore);
+  const autoSelectTemplate = useStore(autoSelectStarterTemplate);
   const [activeProviders, setActiveProviders] = useState<ProviderInfo[]>([]);
+  const contextOptimizationEnabled = useStore(enableContextOptimizationStore);
 
   // Function to check if we're on stable version
   const checkIsStableVersion = async () => {
     try {
-      const stableResponse = await fetch(
+      const response = await fetch(
-        `https://raw.githubusercontent.com/stackblitz-labs/bolt.diy/refs/tags/v${commitJson.version}/app/commit.json`,
+        `https://api.github.com/repos/stackblitz-labs/bolt.diy/git/refs/tags/v${versionData.version}`,
       );
+      const data: { object: { sha: string } } = await response.json();
 
-      if (!stableResponse.ok) {
+      return versionData.commit.slice(0, 7) === data.object.sha.slice(0, 7);
-        console.warn('Failed to fetch stable commit info');
-        return false;
-      }
-
-      const stableData = (await stableResponse.json()) as CommitData;
-
-      return commit.commit === stableData.commit;
     } catch (error) {
       console.warn('Error checking stable version:', error);
       return false;
@@ -58,15 +58,18 @@ export function useSettings() {
     if (savedProviders) {
       try {
         const parsedProviders: Record<string, IProviderSetting> = JSON.parse(savedProviders);
-        Object.keys(parsedProviders).forEach((provider) => {
+        Object.keys(providers).forEach((provider) => {
-          const currentProvider = providers[provider];
+          const currentProviderSettings = parsedProviders[provider];
+
+          if (currentProviderSettings) {
             providersStore.setKey(provider, {
-            ...currentProvider,
+              ...providers[provider],
               settings: {
-              ...parsedProviders[provider],
+                ...currentProviderSettings,
-              enabled: parsedProviders[provider].enabled ?? true,
+                enabled: currentProviderSettings.enabled ?? true,
               },
             });
+          }
         });
       } catch (error) {
         console.error('Failed to parse providers from cookies:', error);
@@ -105,20 +108,32 @@ export function useSettings() {
     let checkCommit = Cookies.get('commitHash');
 
     if (checkCommit === undefined) {
-      checkCommit = commit.commit;
+      checkCommit = versionData.commit;
     }
 
-    if (savedLatestBranch === undefined || checkCommit !== commit.commit) {
+    if (savedLatestBranch === undefined || checkCommit !== versionData.commit) {
       // If setting hasn't been set by user, check version
       checkIsStableVersion().then((isStable) => {
         const shouldUseLatest = !isStable;
         latestBranchStore.set(shouldUseLatest);
         Cookies.set('isLatestBranch', String(shouldUseLatest));
-        Cookies.set('commitHash', String(commit.commit));
+        Cookies.set('commitHash', String(versionData.commit));
       });
     } else {
       latestBranchStore.set(savedLatestBranch === 'true');
     }
+
+    const autoSelectTemplate = Cookies.get('autoSelectTemplate');
+
+    if (autoSelectTemplate) {
+      autoSelectStarterTemplate.set(autoSelectTemplate === 'true');
+    }
+
+    const savedContextOptimizationEnabled = Cookies.get('contextOptimizationEnabled');
+
+    if (savedContextOptimizationEnabled) {
+      enableContextOptimizationStore.set(savedContextOptimizationEnabled === 'true');
+    }
   }, []);
 
   // writing values to cookies on change
@@ -180,6 +195,18 @@ export function useSettings() {
     Cookies.set('isLatestBranch', String(enabled));
   }, []);
 
+  const setAutoSelectTemplate = useCallback((enabled: boolean) => {
+    autoSelectStarterTemplate.set(enabled);
+    logStore.logSystem(`Auto select template ${enabled ? 'enabled' : 'disabled'}`);
+    Cookies.set('autoSelectTemplate', String(enabled));
+  }, []);
+
+  const enableContextOptimization = useCallback((enabled: boolean) => {
+    enableContextOptimizationStore.set(enabled);
+    logStore.logSystem(`Context optimization ${enabled ? 'enabled' : 'disabled'}`);
+    Cookies.set('contextOptimizationEnabled', String(enabled));
+  }, []);
+
   return {
     providers,
     activeProviders,
@@ -194,5 +221,9 @@ export function useSettings() {
     setPromptId,
     isLatestBranch,
     enableLatestBranch,
+    autoSelectTemplate,
+    setAutoSelectTemplate,
+    contextOptimizationEnabled,
+    enableContextOptimization,
   };
 }

app/lib/modules/llm/base-provider.ts

@@ -0,0 +1,129 @@
+import type { LanguageModelV1 } from 'ai';
+import type { ProviderInfo, ProviderConfig, ModelInfo } from './types';
+import type { IProviderSetting } from '~/types/model';
+import { createOpenAI } from '@ai-sdk/openai';
+import { LLMManager } from './manager';
+
+export abstract class BaseProvider implements ProviderInfo {
+  abstract name: string;
+  abstract staticModels: ModelInfo[];
+  abstract config: ProviderConfig;
+  cachedDynamicModels?: {
+    cacheId: string;
+    models: ModelInfo[];
+  };
+
+  getApiKeyLink?: string;
+  labelForGetApiKey?: string;
+  icon?: string;
+
+  getProviderBaseUrlAndKey(options: {
+    apiKeys?: Record<string, string>;
+    providerSettings?: IProviderSetting;
+    serverEnv?: Record<string, string>;
+    defaultBaseUrlKey: string;
+    defaultApiTokenKey: string;
+  }) {
+    const { apiKeys, providerSettings, serverEnv, defaultBaseUrlKey, defaultApiTokenKey } = options;
+    let settingsBaseUrl = providerSettings?.baseUrl;
+    const manager = LLMManager.getInstance();
+
+    if (settingsBaseUrl && settingsBaseUrl.length == 0) {
+      settingsBaseUrl = undefined;
+    }
+
+    const baseUrlKey = this.config.baseUrlKey || defaultBaseUrlKey;
+    let baseUrl =
+      settingsBaseUrl ||
+      serverEnv?.[baseUrlKey] ||
+      process?.env?.[baseUrlKey] ||
+      manager.env?.[baseUrlKey] ||
+      this.config.baseUrl;
+
+    if (baseUrl && baseUrl.endsWith('/')) {
+      baseUrl = baseUrl.slice(0, -1);
+    }
+
+    const apiTokenKey = this.config.apiTokenKey || defaultApiTokenKey;
+    const apiKey =
+      apiKeys?.[this.name] || serverEnv?.[apiTokenKey] || process?.env?.[apiTokenKey] || manager.env?.[apiTokenKey];
+
+    return {
+      baseUrl,
+      apiKey,
+    };
+  }
+  getModelsFromCache(options: {
+    apiKeys?: Record<string, string>;
+    providerSettings?: Record<string, IProviderSetting>;
+    serverEnv?: Record<string, string>;
+  }): ModelInfo[] | null {
+    if (!this.cachedDynamicModels) {
+      // console.log('no dynamic models',this.name);
+      return null;
+    }
+
+    const cacheKey = this.cachedDynamicModels.cacheId;
+    const generatedCacheKey = this.getDynamicModelsCacheKey(options);
+
+    if (cacheKey !== generatedCacheKey) {
+      // console.log('cache key mismatch',this.name,cacheKey,generatedCacheKey);
+      this.cachedDynamicModels = undefined;
+      return null;
+    }
+
+    return this.cachedDynamicModels.models;
+  }
+  getDynamicModelsCacheKey(options: {
+    apiKeys?: Record<string, string>;
+    providerSettings?: Record<string, IProviderSetting>;
+    serverEnv?: Record<string, string>;
+  }) {
+    return JSON.stringify({
+      apiKeys: options.apiKeys?.[this.name],
+      providerSettings: options.providerSettings?.[this.name],
+      serverEnv: options.serverEnv,
+    });
+  }
+  storeDynamicModels(
+    options: {
+      apiKeys?: Record<string, string>;
+      providerSettings?: Record<string, IProviderSetting>;
+      serverEnv?: Record<string, string>;
+    },
+    models: ModelInfo[],
+  ) {
+    const cacheId = this.getDynamicModelsCacheKey(options);
+
+    // console.log('caching dynamic models',this.name,cacheId);
+    this.cachedDynamicModels = {
+      cacheId,
+      models,
+    };
+  }
+
+  // Declare the optional getDynamicModels method
+  getDynamicModels?(
+    apiKeys?: Record<string, string>,
+    settings?: IProviderSetting,
+    serverEnv?: Record<string, string>,
+  ): Promise<ModelInfo[]>;
+
+  abstract getModelInstance(options: {
+    model: string;
+    serverEnv?: Env;
+    apiKeys?: Record<string, string>;
+    providerSettings?: Record<string, IProviderSetting>;
+  }): LanguageModelV1;
+}
+
+type OptionalApiKey = string | undefined;
+
+export function getOpenAILikeModel(baseURL: string, apiKey: OptionalApiKey, model: string) {
+  const openai = createOpenAI({
+    baseURL,
+    apiKey,
+  });
+
+  return openai(model);
+}

app/lib/modules/llm/manager.ts

@@ -0,0 +1,203 @@
+import type { IProviderSetting } from '~/types/model';
+import { BaseProvider } from './base-provider';
+import type { ModelInfo, ProviderInfo } from './types';
+import * as providers from './registry';
+import { createScopedLogger } from '~/utils/logger';
+
+const logger = createScopedLogger('LLMManager');
+export class LLMManager {
+  private static _instance: LLMManager;
+  private _providers: Map<string, BaseProvider> = new Map();
+  private _modelList: ModelInfo[] = [];
+  private readonly _env: any = {};
+
+  private constructor(_env: Record<string, string>) {
+    this._registerProvidersFromDirectory();
+    this._env = _env;
+  }
+
+  static getInstance(env: Record<string, string> = {}): LLMManager {
+    if (!LLMManager._instance) {
+      LLMManager._instance = new LLMManager(env);
+    }
+
+    return LLMManager._instance;
+  }
+  get env() {
+    return this._env;
+  }
+
+  private async _registerProvidersFromDirectory() {
+    try {
+      /*
+       * Dynamically import all files from the providers directory
+       * const providerModules = import.meta.glob('./providers/*.ts', { eager: true });
+       */
+
+      // Look for exported classes that extend BaseProvider
+      for (const exportedItem of Object.values(providers)) {
+        if (typeof exportedItem === 'function' && exportedItem.prototype instanceof BaseProvider) {
+          const provider = new exportedItem();
+
+          try {
+            this.registerProvider(provider);
+          } catch (error: any) {
+            logger.warn('Failed To Register Provider: ', provider.name, 'error:', error.message);
+          }
+        }
+      }
+    } catch (error) {
+      logger.error('Error registering providers:', error);
+    }
+  }
+
+  registerProvider(provider: BaseProvider) {
+    if (this._providers.has(provider.name)) {
+      logger.warn(`Provider ${provider.name} is already registered. Skipping.`);
+      return;
+    }
+
+    logger.info('Registering Provider: ', provider.name);
+    this._providers.set(provider.name, provider);
+    this._modelList = [...this._modelList, ...provider.staticModels];
+  }
+
+  getProvider(name: string): BaseProvider | undefined {
+    return this._providers.get(name);
+  }
+
+  getAllProviders(): BaseProvider[] {
+    return Array.from(this._providers.values());
+  }
+
+  getModelList(): ModelInfo[] {
+    return this._modelList;
+  }
+
+  async updateModelList(options: {
+    apiKeys?: Record<string, string>;
+    providerSettings?: Record<string, IProviderSetting>;
+    serverEnv?: Record<string, string>;
+  }): Promise<ModelInfo[]> {
+    const { apiKeys, providerSettings, serverEnv } = options;
+
+    let enabledProviders = Array.from(this._providers.values()).map((p) => p.name);
+
+    if (providerSettings && Object.keys(providerSettings).length > 0) {
+      enabledProviders = enabledProviders.filter((p) => providerSettings[p].enabled);
+    }
+
+    // Get dynamic models from all providers that support them
+    const dynamicModels = await Promise.all(
+      Array.from(this._providers.values())
+        .filter((provider) => enabledProviders.includes(provider.name))
+        .filter(
+          (provider): provider is BaseProvider & Required<Pick<ProviderInfo, 'getDynamicModels'>> =>
+            !!provider.getDynamicModels,
+        )
+        .map(async (provider) => {
+          const cachedModels = provider.getModelsFromCache(options);
+
+          if (cachedModels) {
+            return cachedModels;
+          }
+
+          const dynamicModels = await provider
+            .getDynamicModels(apiKeys, providerSettings?.[provider.name], serverEnv)
+            .then((models) => {
+              logger.info(`Caching ${models.length} dynamic models for ${provider.name}`);
+              provider.storeDynamicModels(options, models);
+
+              return models;
+            })
+            .catch((err) => {
+              logger.error(`Error getting dynamic models ${provider.name} :`, err);
+              return [];
+            });
+
+          return dynamicModels;
+        }),
+    );
+
+    // Combine static and dynamic models
+    const modelList = [
+      ...dynamicModels.flat(),
+      ...Array.from(this._providers.values()).flatMap((p) => p.staticModels || []),
+    ];
+    this._modelList = modelList;
+
+    return modelList;
+  }
+  getStaticModelList() {
+    return [...this._providers.values()].flatMap((p) => p.staticModels || []);
+  }
+  async getModelListFromProvider(
+    providerArg: BaseProvider,
+    options: {
+      apiKeys?: Record<string, string>;
+      providerSettings?: Record<string, IProviderSetting>;
+      serverEnv?: Record<string, string>;
+    },
+  ): Promise<ModelInfo[]> {
+    const provider = this._providers.get(providerArg.name);
+
+    if (!provider) {
+      throw new Error(`Provider ${providerArg.name} not found`);
+    }
+
+    const staticModels = provider.staticModels || [];
+
+    if (!provider.getDynamicModels) {
+      return staticModels;
+    }
+
+    const { apiKeys, providerSettings, serverEnv } = options;
+
+    const cachedModels = provider.getModelsFromCache({
+      apiKeys,
+      providerSettings,
+      serverEnv,
+    });
+
+    if (cachedModels) {
+      logger.info(`Found ${cachedModels.length} cached models for ${provider.name}`);
+      return [...cachedModels, ...staticModels];
+    }
+
+    logger.info(`Getting dynamic models for ${provider.name}`);
+
+    const dynamicModels = await provider
+      .getDynamicModels?.(apiKeys, providerSettings?.[provider.name], serverEnv)
+      .then((models) => {
+        logger.info(`Got ${models.length} dynamic models for ${provider.name}`);
+        provider.storeDynamicModels(options, models);
+
+        return models;
+      })
+      .catch((err) => {
+        logger.error(`Error getting dynamic models ${provider.name} :`, err);
+        return [];
+      });
+
+    return [...dynamicModels, ...staticModels];
+  }
+  getStaticModelListFromProvider(providerArg: BaseProvider) {
+    const provider = this._providers.get(providerArg.name);
+
+    if (!provider) {
+      throw new Error(`Provider ${providerArg.name} not found`);
+    }
+
+    return [...(provider.staticModels || [])];
+  }
+
+  getDefaultProvider(): BaseProvider {
+    const firstProvider = this._providers.values().next().value;
+
+    if (!firstProvider) {
+      throw new Error('No providers registered');
+    }
+
+    return firstProvider;
+  }
+}

app/lib/modules/llm/providers/amazon-bedrock.ts

@@ -0,0 +1,113 @@
+import { BaseProvider } from '~/lib/modules/llm/base-provider';
+import type { ModelInfo } from '~/lib/modules/llm/types';
+import type { LanguageModelV1 } from 'ai';
+import type { IProviderSetting } from '~/types/model';
+import { createAmazonBedrock } from '@ai-sdk/amazon-bedrock';
+
+interface AWSBedRockConfig {
+  region: string;
+  accessKeyId: string;
+  secretAccessKey: string;
+  sessionToken?: string;
+}
+
+export default class AmazonBedrockProvider extends BaseProvider {
+  name = 'AmazonBedrock';
+  getApiKeyLink = 'https://console.aws.amazon.com/iam/home';
+
+  config = {
+    apiTokenKey: 'AWS_BEDROCK_CONFIG',
+  };
+
+  staticModels: ModelInfo[] = [
+    {
+      name: 'anthropic.claude-3-5-sonnet-20240620-v1:0',
+      label: 'Claude 3.5 Sonnet (Bedrock)',
+      provider: 'AmazonBedrock',
+      maxTokenAllowed: 4096,
+    },
+    {
+      name: 'anthropic.claude-3-sonnet-20240229-v1:0',
+      label: 'Claude 3 Sonnet (Bedrock)',
+      provider: 'AmazonBedrock',
+      maxTokenAllowed: 4096,
+    },
+    {
+      name: 'anthropic.claude-3-haiku-20240307-v1:0',
+      label: 'Claude 3 Haiku (Bedrock)',
+      provider: 'AmazonBedrock',
+      maxTokenAllowed: 4096,
+    },
+    {
+      name: 'amazon.nova-pro-v1:0',
+      label: 'Amazon Nova Pro (Bedrock)',
+      provider: 'AmazonBedrock',
+      maxTokenAllowed: 5120,
+    },
+    {
+      name: 'amazon.nova-lite-v1:0',
+      label: 'Amazon Nova Lite (Bedrock)',
+      provider: 'AmazonBedrock',
+      maxTokenAllowed: 5120,
+    },
+    {
+      name: 'mistral.mistral-large-2402-v1:0',
+      label: 'Mistral Large 24.02 (Bedrock)',
+      provider: 'AmazonBedrock',
+      maxTokenAllowed: 8192,
+    },
+  ];
+
+  private _parseAndValidateConfig(apiKey: string): AWSBedRockConfig {
+    let parsedConfig: AWSBedRockConfig;
+
+    try {
+      parsedConfig = JSON.parse(apiKey);
+    } catch {
+      throw new Error(
+        'Invalid AWS Bedrock configuration format. Please provide a valid JSON string containing region, accessKeyId, and secretAccessKey.',
+      );
+    }
+
+    const { region, accessKeyId, secretAccessKey, sessionToken } = parsedConfig;
+
+    if (!region || !accessKeyId || !secretAccessKey) {
+      throw new Error(
+        'Missing required AWS credentials. Configuration must include region, accessKeyId, and secretAccessKey.',
+      );
+    }
+
+    return {
+      region,
+      accessKeyId,
+      secretAccessKey,
+      ...(sessionToken && { sessionToken }),
+    };
+  }
+
+  getModelInstance(options: {
+    model: string;
+    serverEnv: any;
+    apiKeys?: Record<string, string>;
+    providerSettings?: Record<string, IProviderSetting>;
+  }): LanguageModelV1 {
+    const { model, serverEnv, apiKeys, providerSettings } = options;
+
+    const { apiKey } = this.getProviderBaseUrlAndKey({
+      apiKeys,
+      providerSettings: providerSettings?.[this.name],
+      serverEnv: serverEnv as any,
+      defaultBaseUrlKey: '',
+      defaultApiTokenKey: 'AWS_BEDROCK_CONFIG',
+    });
+
+    if (!apiKey) {
+      throw new Error(`Missing API key for ${this.name} provider`);
+    }
+
+    const config = this._parseAndValidateConfig(apiKey);
+    const bedrock = createAmazonBedrock(config);
+
+    return bedrock(model);
+  }
+}

app/lib/modules/llm/providers/anthropic.ts

@@ -0,0 +1,58 @@
+import { BaseProvider } from '~/lib/modules/llm/base-provider';
+import type { ModelInfo } from '~/lib/modules/llm/types';
+import type { LanguageModelV1 } from 'ai';
+import type { IProviderSetting } from '~/types/model';
+import { createAnthropic } from '@ai-sdk/anthropic';
+
+export default class AnthropicProvider extends BaseProvider {
+  name = 'Anthropic';
+  getApiKeyLink = 'https://console.anthropic.com/settings/keys';
+
+  config = {
+    apiTokenKey: 'ANTHROPIC_API_KEY',
+  };
+
+  staticModels: ModelInfo[] = [
+    {
+      name: 'claude-3-5-sonnet-latest',
+      label: 'Claude 3.5 Sonnet (new)',
+      provider: 'Anthropic',
+      maxTokenAllowed: 8000,
+    },
+    {
+      name: 'claude-3-5-sonnet-20240620',
+      label: 'Claude 3.5 Sonnet (old)',
+      provider: 'Anthropic',
+      maxTokenAllowed: 8000,
+    },
+    {
+      name: 'claude-3-5-haiku-latest',
+      label: 'Claude 3.5 Haiku (new)',
+      provider: 'Anthropic',
+      maxTokenAllowed: 8000,
+    },
+    { name: 'claude-3-opus-latest', label: 'Claude 3 Opus', provider: 'Anthropic', maxTokenAllowed: 8000 },
+    { name: 'claude-3-sonnet-20240229', label: 'Claude 3 Sonnet', provider: 'Anthropic', maxTokenAllowed: 8000 },
+    { name: 'claude-3-haiku-20240307', label: 'Claude 3 Haiku', provider: 'Anthropic', maxTokenAllowed: 8000 },
+  ];
+  getModelInstance: (options: {
+    model: string;
+    serverEnv: Env;
+    apiKeys?: Record<string, string>;
+    providerSettings?: Record<string, IProviderSetting>;
+  }) => LanguageModelV1 = (options) => {
+    const { apiKeys, providerSettings, serverEnv, model } = options;
+    const { apiKey } = this.getProviderBaseUrlAndKey({
+      apiKeys,
+      providerSettings,
+      serverEnv: serverEnv as any,
+      defaultBaseUrlKey: '',
+      defaultApiTokenKey: 'ANTHROPIC_API_KEY',
+    });
+    const anthropic = createAnthropic({
+      apiKey,
+    });
+
+    return anthropic(model);
+  };
+}

app/lib/modules/llm/providers/cohere.ts

@@ -0,0 +1,54 @@
+import { BaseProvider } from '~/lib/modules/llm/base-provider';
+import type { ModelInfo } from '~/lib/modules/llm/types';
+import type { IProviderSetting } from '~/types/model';
+import type { LanguageModelV1 } from 'ai';
+import { createCohere } from '@ai-sdk/cohere';
+
+export default class CohereProvider extends BaseProvider {
+  name = 'Cohere';
+  getApiKeyLink = 'https://dashboard.cohere.com/api-keys';
+
+  config = {
+    apiTokenKey: 'COHERE_API_KEY',
+  };
+
+  staticModels: ModelInfo[] = [
+    { name: 'command-r-plus-08-2024', label: 'Command R plus Latest', provider: 'Cohere', maxTokenAllowed: 4096 },
+    { name: 'command-r-08-2024', label: 'Command R Latest', provider: 'Cohere', maxTokenAllowed: 4096 },
+    { name: 'command-r-plus', label: 'Command R plus', provider: 'Cohere', maxTokenAllowed: 4096 },
+    { name: 'command-r', label: 'Command R', provider: 'Cohere', maxTokenAllowed: 4096 },
+    { name: 'command', label: 'Command', provider: 'Cohere', maxTokenAllowed: 4096 },
+    { name: 'command-nightly', label: 'Command Nightly', provider: 'Cohere', maxTokenAllowed: 4096 },
+    { name: 'command-light', label: 'Command Light', provider: 'Cohere', maxTokenAllowed: 4096 },
+    { name: 'command-light-nightly', label: 'Command Light Nightly', provider: 'Cohere', maxTokenAllowed: 4096 },
+    { name: 'c4ai-aya-expanse-8b', label: 'c4AI Aya Expanse 8b', provider: 'Cohere', maxTokenAllowed: 4096 },
+    { name: 'c4ai-aya-expanse-32b', label: 'c4AI Aya Expanse 32b', provider: 'Cohere', maxTokenAllowed: 4096 },
+  ];
+
+  getModelInstance(options: {
+    model: string;
+    serverEnv: Env;
+    apiKeys?: Record<string, string>;
+    providerSettings?: Record<string, IProviderSetting>;
+  }): LanguageModelV1 {
+    const { model, serverEnv, apiKeys, providerSettings } = options;
+
+    const { apiKey } = this.getProviderBaseUrlAndKey({
+      apiKeys,
+      providerSettings: providerSettings?.[this.name],
+      serverEnv: serverEnv as any,
+      defaultBaseUrlKey: '',
+      defaultApiTokenKey: 'COHERE_API_KEY',
+    });
+
+    if (!apiKey) {
+      throw new Error(`Missing API key for ${this.name} provider`);
+    }
+
+    const cohere = createCohere({
+      apiKey,
+    });
+
+    return cohere(model);
+  }
+}

app/lib/modules/llm/providers/deepseek.ts

@@ -0,0 +1,48 @@
+import { BaseProvider } from '~/lib/modules/llm/base-provider';
+import type { ModelInfo } from '~/lib/modules/llm/types';
+import type { IProviderSetting } from '~/types/model';
+import type { LanguageModelV1 } from 'ai';
+import { createOpenAI } from '@ai-sdk/openai';
+
+export default class DeepseekProvider extends BaseProvider {
+  name = 'Deepseek';
+  getApiKeyLink = 'https://platform.deepseek.com/apiKeys';
+
+  config = {
+    apiTokenKey: 'DEEPSEEK_API_KEY',
+  };
+
+  staticModels: ModelInfo[] = [
+    { name: 'deepseek-coder', label: 'Deepseek-Coder', provider: 'Deepseek', maxTokenAllowed: 8000 },
+    { name: 'deepseek-chat', label: 'Deepseek-Chat', provider: 'Deepseek', maxTokenAllowed: 8000 },
+    { name: 'deepseek-reasoner', label: 'Deepseek-Reasoner', provider: 'Deepseek', maxTokenAllowed: 8000 },
+  ];
+
+  getModelInstance(options: {
+    model: string;
+    serverEnv: Env;
+    apiKeys?: Record<string, string>;
+    providerSettings?: Record<string, IProviderSetting>;
+  }): LanguageModelV1 {
+    const { model, serverEnv, apiKeys, providerSettings } = options;
+
+    const { apiKey } = this.getProviderBaseUrlAndKey({
+      apiKeys,
+      providerSettings: providerSettings?.[this.name],
+      serverEnv: serverEnv as any,
+      defaultBaseUrlKey: '',
+      defaultApiTokenKey: 'DEEPSEEK_API_KEY',
+    });
+
+    if (!apiKey) {
+      throw new Error(`Missing API key for ${this.name} provider`);
+    }
+
+    const openai = createOpenAI({
+      baseURL: 'https://api.deepseek.com/beta',
+      apiKey,
+    });
+
+    return openai(model);
+  }
+}

app/lib/modules/llm/providers/github.ts

@@ -0,0 +1,53 @@
+import { BaseProvider } from '~/lib/modules/llm/base-provider';
+import type { ModelInfo } from '~/lib/modules/llm/types';
+import type { IProviderSetting } from '~/types/model';
+import type { LanguageModelV1 } from 'ai';
+import { createOpenAI } from '@ai-sdk/openai';
+
+export default class GithubProvider extends BaseProvider {
+  name = 'Github';
+  getApiKeyLink = 'https://github.com/settings/personal-access-tokens';
+
+  config = {
+    apiTokenKey: 'GITHUB_API_KEY',
+  };
+
+  // find more in https://github.com/marketplace?type=models
+  staticModels: ModelInfo[] = [
+    { name: 'gpt-4o', label: 'GPT-4o', provider: 'Github', maxTokenAllowed: 8000 },
+    { name: 'o1', label: 'o1-preview', provider: 'Github', maxTokenAllowed: 100000 },
+    { name: 'o1-mini', label: 'o1-mini', provider: 'Github', maxTokenAllowed: 8000 },
+    { name: 'gpt-4o-mini', label: 'GPT-4o Mini', provider: 'Github', maxTokenAllowed: 8000 },
+    { name: 'gpt-4-turbo', label: 'GPT-4 Turbo', provider: 'Github', maxTokenAllowed: 8000 },
+    { name: 'gpt-4', label: 'GPT-4', provider: 'Github', maxTokenAllowed: 8000 },
+    { name: 'gpt-3.5-turbo', label: 'GPT-3.5 Turbo', provider: 'Github', maxTokenAllowed: 8000 },
+  ];
+
+  getModelInstance(options: {
+    model: string;
+    serverEnv: Env;
+    apiKeys?: Record<string, string>;
+    providerSettings?: Record<string, IProviderSetting>;
+  }): LanguageModelV1 {
+    const { model, serverEnv, apiKeys, providerSettings } = options;
+
+    const { apiKey } = this.getProviderBaseUrlAndKey({
+      apiKeys,
+      providerSettings: providerSettings?.[this.name],
+      serverEnv: serverEnv as any,
+      defaultBaseUrlKey: '',
+      defaultApiTokenKey: 'GITHUB_API_KEY',
+    });
+
+    if (!apiKey) {
+      throw new Error(`Missing API key for ${this.name} provider`);
+    }
+
+    const openai = createOpenAI({
+      baseURL: 'https://models.inference.ai.azure.com',
+      apiKey,
+    });
+
+    return openai(model);
+  }
+}

app/lib/modules/llm/providers/google.ts

@@ -0,0 +1,51 @@
+import { BaseProvider } from '~/lib/modules/llm/base-provider';
+import type { ModelInfo } from '~/lib/modules/llm/types';
+import type { IProviderSetting } from '~/types/model';
+import type { LanguageModelV1 } from 'ai';
+import { createGoogleGenerativeAI } from '@ai-sdk/google';
+
+export default class GoogleProvider extends BaseProvider {
+  name = 'Google';
+  getApiKeyLink = 'https://aistudio.google.com/app/apikey';
+
+  config = {
+    apiTokenKey: 'GOOGLE_GENERATIVE_AI_API_KEY',
+  };
+
+  staticModels: ModelInfo[] = [
+    { name: 'gemini-1.5-flash-latest', label: 'Gemini 1.5 Flash', provider: 'Google', maxTokenAllowed: 8192 },
+    { name: 'gemini-2.0-flash-exp', label: 'Gemini 2.0 Flash', provider: 'Google', maxTokenAllowed: 8192 },
+    { name: 'gemini-1.5-flash-002', label: 'Gemini 1.5 Flash-002', provider: 'Google', maxTokenAllowed: 8192 },
+    { name: 'gemini-1.5-flash-8b', label: 'Gemini 1.5 Flash-8b', provider: 'Google', maxTokenAllowed: 8192 },
+    { name: 'gemini-1.5-pro-latest', label: 'Gemini 1.5 Pro', provider: 'Google', maxTokenAllowed: 8192 },
+    { name: 'gemini-1.5-pro-002', label: 'Gemini 1.5 Pro-002', provider: 'Google', maxTokenAllowed: 8192 },
+    { name: 'gemini-exp-1206', label: 'Gemini exp-1206', provider: 'Google', maxTokenAllowed: 8192 },
+  ];
+
+  getModelInstance(options: {
+    model: string;
+    serverEnv: any;
+    apiKeys?: Record<string, string>;
+    providerSettings?: Record<string, IProviderSetting>;
+  }): LanguageModelV1 {
+    const { model, serverEnv, apiKeys, providerSettings } = options;
+
+    const { apiKey } = this.getProviderBaseUrlAndKey({
+      apiKeys,
+      providerSettings: providerSettings?.[this.name],
+      serverEnv: serverEnv as any,
+      defaultBaseUrlKey: '',
+      defaultApiTokenKey: 'GOOGLE_GENERATIVE_AI_API_KEY',
+    });
+
+    if (!apiKey) {
+      throw new Error(`Missing API key for ${this.name} provider`);
+    }
+
+    const google = createGoogleGenerativeAI({
+      apiKey,
+    });
+
+    return google(model);
+  }
+}

app/lib/modules/llm/providers/groq.ts

@@ -0,0 +1,51 @@
+import { BaseProvider } from '~/lib/modules/llm/base-provider';
+import type { ModelInfo } from '~/lib/modules/llm/types';
+import type { IProviderSetting } from '~/types/model';
+import type { LanguageModelV1 } from 'ai';
+import { createOpenAI } from '@ai-sdk/openai';
+
+export default class GroqProvider extends BaseProvider {
+  name = 'Groq';
+  getApiKeyLink = 'https://console.groq.com/keys';
+
+  config = {
+    apiTokenKey: 'GROQ_API_KEY',
+  };
+
+  staticModels: ModelInfo[] = [
+    { name: 'llama-3.1-8b-instant', label: 'Llama 3.1 8b (Groq)', provider: 'Groq', maxTokenAllowed: 8000 },
+    { name: 'llama-3.2-11b-vision-preview', label: 'Llama 3.2 11b (Groq)', provider: 'Groq', maxTokenAllowed: 8000 },
+    { name: 'llama-3.2-90b-vision-preview', label: 'Llama 3.2 90b (Groq)', provider: 'Groq', maxTokenAllowed: 8000 },
+    { name: 'llama-3.2-3b-preview', label: 'Llama 3.2 3b (Groq)', provider: 'Groq', maxTokenAllowed: 8000 },
+    { name: 'llama-3.2-1b-preview', label: 'Llama 3.2 1b (Groq)', provider: 'Groq', maxTokenAllowed: 8000 },
+    { name: 'llama-3.3-70b-versatile', label: 'Llama 3.3 70b (Groq)', provider: 'Groq', maxTokenAllowed: 8000 },
+  ];
+
+  getModelInstance(options: {
+    model: string;
+    serverEnv: Env;
+    apiKeys?: Record<string, string>;
+    providerSettings?: Record<string, IProviderSetting>;
+  }): LanguageModelV1 {
+    const { model, serverEnv, apiKeys, providerSettings } = options;
+
+    const { apiKey } = this.getProviderBaseUrlAndKey({
+      apiKeys,
+      providerSettings: providerSettings?.[this.name],
+      serverEnv: serverEnv as any,
+      defaultBaseUrlKey: '',
+      defaultApiTokenKey: 'GROQ_API_KEY',
+    });
+
+    if (!apiKey) {
+      throw new Error(`Missing API key for ${this.name} provider`);
+    }
+
+    const openai = createOpenAI({
+      baseURL: 'https://api.groq.com/openai/v1',
+      apiKey,
+    });
+
+    return openai(model);
+  }
+}

app/lib/modules/llm/providers/huggingface.ts

@@ -0,0 +1,111 @@
+import { BaseProvider } from '~/lib/modules/llm/base-provider';
+import type { ModelInfo } from '~/lib/modules/llm/types';
+import type { IProviderSetting } from '~/types/model';
+import type { LanguageModelV1 } from 'ai';
+import { createOpenAI } from '@ai-sdk/openai';
+
+export default class HuggingFaceProvider extends BaseProvider {
+  name = 'HuggingFace';
+  getApiKeyLink = 'https://huggingface.co/settings/tokens';
+
+  config = {
+    apiTokenKey: 'HuggingFace_API_KEY',
+  };
+
+  staticModels: ModelInfo[] = [
+    {
+      name: 'Qwen/Qwen2.5-Coder-32B-Instruct',
+      label: 'Qwen2.5-Coder-32B-Instruct (HuggingFace)',
+      provider: 'HuggingFace',
+      maxTokenAllowed: 8000,
+    },
+    {
+      name: '01-ai/Yi-1.5-34B-Chat',
+      label: 'Yi-1.5-34B-Chat (HuggingFace)',
+      provider: 'HuggingFace',
+      maxTokenAllowed: 8000,
+    },
+    {
+      name: 'codellama/CodeLlama-34b-Instruct-hf',
+      label: 'CodeLlama-34b-Instruct (HuggingFace)',
+      provider: 'HuggingFace',
+      maxTokenAllowed: 8000,
+    },
+    {
+      name: 'NousResearch/Hermes-3-Llama-3.1-8B',
+      label: 'Hermes-3-Llama-3.1-8B (HuggingFace)',
+      provider: 'HuggingFace',
+      maxTokenAllowed: 8000,
+    },
+    {
+      name: 'Qwen/Qwen2.5-Coder-32B-Instruct',
+      label: 'Qwen2.5-Coder-32B-Instruct (HuggingFace)',
+      provider: 'HuggingFace',
+      maxTokenAllowed: 8000,
+    },
+    {
+      name: 'Qwen/Qwen2.5-72B-Instruct',
+      label: 'Qwen2.5-72B-Instruct (HuggingFace)',
+      provider: 'HuggingFace',
+      maxTokenAllowed: 8000,
+    },
+    {
+      name: 'meta-llama/Llama-3.1-70B-Instruct',
+      label: 'Llama-3.1-70B-Instruct (HuggingFace)',
+      provider: 'HuggingFace',
+      maxTokenAllowed: 8000,
+    },
+    {
+      name: 'meta-llama/Llama-3.1-405B',
+      label: 'Llama-3.1-405B (HuggingFace)',
+      provider: 'HuggingFace',
+      maxTokenAllowed: 8000,
+    },
+    {
+      name: '01-ai/Yi-1.5-34B-Chat',
+      label: 'Yi-1.5-34B-Chat (HuggingFace)',
+      provider: 'HuggingFace',
+      maxTokenAllowed: 8000,
+    },
+    {
+      name: 'codellama/CodeLlama-34b-Instruct-hf',
+      label: 'CodeLlama-34b-Instruct (HuggingFace)',
+      provider: 'HuggingFace',
+      maxTokenAllowed: 8000,
+    },
+    {
+      name: 'NousResearch/Hermes-3-Llama-3.1-8B',
+      label: 'Hermes-3-Llama-3.1-8B (HuggingFace)',
+      provider: 'HuggingFace',
+      maxTokenAllowed: 8000,
+    },
+  ];
+
+  getModelInstance(options: {
+    model: string;
+    serverEnv: Env;
+    apiKeys?: Record<string, string>;
+    providerSettings?: Record<string, IProviderSetting>;
+  }): LanguageModelV1 {
+    const { model, serverEnv, apiKeys, providerSettings } = options;
+
+    const { apiKey } = this.getProviderBaseUrlAndKey({
+      apiKeys,
+      providerSettings: providerSettings?.[this.name],
+      serverEnv: serverEnv as any,
+      defaultBaseUrlKey: '',
+      defaultApiTokenKey: 'HuggingFace_API_KEY',
+    });
+
+    if (!apiKey) {
+      throw new Error(`Missing API key for ${this.name} provider`);
+    }
+
+    const openai = createOpenAI({
+      baseURL: 'https://api-inference.huggingface.co/v1/',
+      apiKey,
+    });
+
+    return openai(model);
+  }
+}

app/lib/modules/llm/providers/hyperbolic.ts

@@ -0,0 +1,111 @@
+import { BaseProvider } from '~/lib/modules/llm/base-provider';
+import type { ModelInfo } from '~/lib/modules/llm/types';
+import type { IProviderSetting } from '~/types/model';
+import type { LanguageModelV1 } from 'ai';
+import { createOpenAI } from '@ai-sdk/openai';
+
+export default class HyperbolicProvider extends BaseProvider {
+  name = 'Hyperbolic';
+  getApiKeyLink = 'https://app.hyperbolic.xyz/settings';
+
+  config = {
+    apiTokenKey: 'HYPERBOLIC_API_KEY',
+  };
+
+  staticModels: ModelInfo[] = [
+    {
+      name: 'Qwen/Qwen2.5-Coder-32B-Instruct',
+      label: 'Qwen 2.5 Coder 32B Instruct',
+      provider: 'Hyperbolic',
+      maxTokenAllowed: 8192,
+    },
+    {
+      name: 'Qwen/Qwen2.5-72B-Instruct',
+      label: 'Qwen2.5-72B-Instruct',
+      provider: 'Hyperbolic',
+      maxTokenAllowed: 8192,
+    },
+    {
+      name: 'deepseek-ai/DeepSeek-V2.5',
+      label: 'DeepSeek-V2.5',
+      provider: 'Hyperbolic',
+      maxTokenAllowed: 8192,
+    },
+    {
+      name: 'Qwen/QwQ-32B-Preview',
+      label: 'QwQ-32B-Preview',
+      provider: 'Hyperbolic',
+      maxTokenAllowed: 8192,
+    },
+    {
+      name: 'Qwen/Qwen2-VL-72B-Instruct',
+      label: 'Qwen2-VL-72B-Instruct',
+      provider: 'Hyperbolic',
+      maxTokenAllowed: 8192,
+    },
+  ];
+
+  async getDynamicModels(
+    apiKeys?: Record<string, string>,
+    settings?: IProviderSetting,
+    serverEnv: Record<string, string> = {},
+  ): Promise<ModelInfo[]> {
+    const { baseUrl: fetchBaseUrl, apiKey } = this.getProviderBaseUrlAndKey({
+      apiKeys,
+      providerSettings: settings,
+      serverEnv,
+      defaultBaseUrlKey: '',
+      defaultApiTokenKey: 'HYPERBOLIC_API_KEY',
+    });
+    const baseUrl = fetchBaseUrl || 'https://api.hyperbolic.xyz/v1';
+
+    if (!apiKey) {
+      throw `Missing Api Key configuration for ${this.name} provider`;
+    }
+
+    const response = await fetch(`${baseUrl}/models`, {
+      headers: {
+        Authorization: `Bearer ${apiKey}`,
+      },
+    });
+
+    const res = (await response.json()) as any;
+
+    const data = res.data.filter((model: any) => model.object === 'model' && model.supports_chat);
+
+    return data.map((m: any) => ({
+      name: m.id,
+      label: `${m.id} - context ${m.context_length ? Math.floor(m.context_length / 1000) + 'k' : 'N/A'}`,
+      provider: this.name,
+      maxTokenAllowed: m.context_length || 8000,
+    }));
+  }
+
+  getModelInstance(options: {
+    model: string;
+    serverEnv: Env;
+    apiKeys?: Record<string, string>;
+    providerSettings?: Record<string, IProviderSetting>;
+  }): LanguageModelV1 {
+    const { model, serverEnv, apiKeys, providerSettings } = options;
+
+    const { apiKey } = this.getProviderBaseUrlAndKey({
+      apiKeys,
+      providerSettings: providerSettings?.[this.name],
+      serverEnv: serverEnv as any,
+      defaultBaseUrlKey: '',
+      defaultApiTokenKey: 'HYPERBOLIC_API_KEY',
+    });
+
+    if (!apiKey) {
+      throw `Missing Api Key configuration for ${this.name} provider`;
+    }
+
+    const openai = createOpenAI({
+      baseURL: 'https://api.hyperbolic.xyz/v1/',
+      apiKey,
+    });
+
+    return openai(model);
+  }
+}

app/lib/modules/llm/providers/lmstudio.ts

@@ -0,0 +1,93 @@
+import { BaseProvider } from '~/lib/modules/llm/base-provider';
+import type { ModelInfo } from '~/lib/modules/llm/types';
+import type { IProviderSetting } from '~/types/model';
+import { createOpenAI } from '@ai-sdk/openai';
+import type { LanguageModelV1 } from 'ai';
+import { logger } from '~/utils/logger';
+
+export default class LMStudioProvider extends BaseProvider {
+  name = 'LMStudio';
+  getApiKeyLink = 'https://lmstudio.ai/';
+  labelForGetApiKey = 'Get LMStudio';
+  icon = 'i-ph:cloud-arrow-down';
+
+  config = {
+    baseUrlKey: 'LMSTUDIO_API_BASE_URL',
+    baseUrl: 'http://localhost:1234/',
+  };
+
+  staticModels: ModelInfo[] = [];
+
+  async getDynamicModels(
+    apiKeys?: Record<string, string>,
+    settings?: IProviderSetting,
+    serverEnv: Record<string, string> = {},
+  ): Promise<ModelInfo[]> {
+    let { baseUrl } = this.getProviderBaseUrlAndKey({
+      apiKeys,
+      providerSettings: settings,
+      serverEnv,
+      defaultBaseUrlKey: 'LMSTUDIO_API_BASE_URL',
+      defaultApiTokenKey: '',
+    });
+
+    if (!baseUrl) {
+      throw new Error('No baseUrl found for LMStudio provider');
+    }
+
+    if (typeof window === 'undefined') {
+      /*
+       * Running in Server
+       * Backend: Check if we're running in Docker
+       */
+      const isDocker = process.env.RUNNING_IN_DOCKER === 'true';
+
+      baseUrl = isDocker ? baseUrl.replace('localhost', 'host.docker.internal') : baseUrl;
+      baseUrl = isDocker ? baseUrl.replace('127.0.0.1', 'host.docker.internal') : baseUrl;
+    }
+
+    const response = await fetch(`${baseUrl}/v1/models`);
+    const data = (await response.json()) as { data: Array<{ id: string }> };
+
+    return data.data.map((model) => ({
+      name: model.id,
+      label: model.id,
+      provider: this.name,
+      maxTokenAllowed: 8000,
+    }));
+  }
+  getModelInstance: (options: {
+    model: string;
+    serverEnv: Env;
+    apiKeys?: Record<string, string>;
+    providerSettings?: Record<string, IProviderSetting>;
+  }) => LanguageModelV1 = (options) => {
+    const { apiKeys, providerSettings, serverEnv, model } = options;
+    let { baseUrl } = this.getProviderBaseUrlAndKey({
+      apiKeys,
+      providerSettings: providerSettings?.[this.name],
+      serverEnv: serverEnv as any,
+      defaultBaseUrlKey: 'LMSTUDIO_API_BASE_URL',
+      defaultApiTokenKey: '',
+    });
+
+    if (!baseUrl) {
+      throw new Error('No baseUrl found for LMStudio provider');
+    }
+
+    if (typeof window === 'undefined') {
+      const isDocker = process.env.RUNNING_IN_DOCKER === 'true';
+      baseUrl = isDocker ? baseUrl.replace('localhost', 'host.docker.internal') : baseUrl;
+      baseUrl = isDocker ? baseUrl.replace('127.0.0.1', 'host.docker.internal') : baseUrl;
+    }
+
+    logger.debug('LMStudio Base Url used: ', baseUrl);
+
+    const lmstudio = createOpenAI({
+      baseUrl: `${baseUrl}/v1`,
+      apiKey: '',
+    });
+
+    return lmstudio(model);
+  };
+}

app/lib/modules/llm/providers/mistral.ts

@@ -0,0 +1,53 @@
+import { BaseProvider } from '~/lib/modules/llm/base-provider';
+import type { ModelInfo } from '~/lib/modules/llm/types';
+import type { IProviderSetting } from '~/types/model';
+import type { LanguageModelV1 } from 'ai';
+import { createMistral } from '@ai-sdk/mistral';
+
+export default class MistralProvider extends BaseProvider {
+  name = 'Mistral';
+  getApiKeyLink = 'https://console.mistral.ai/api-keys/';
+
+  config = {
+    apiTokenKey: 'MISTRAL_API_KEY',
+  };
+
+  staticModels: ModelInfo[] = [
+    { name: 'open-mistral-7b', label: 'Mistral 7B', provider: 'Mistral', maxTokenAllowed: 8000 },
+    { name: 'open-mixtral-8x7b', label: 'Mistral 8x7B', provider: 'Mistral', maxTokenAllowed: 8000 },
+    { name: 'open-mixtral-8x22b', label: 'Mistral 8x22B', provider: 'Mistral', maxTokenAllowed: 8000 },
+    { name: 'open-codestral-mamba', label: 'Codestral Mamba', provider: 'Mistral', maxTokenAllowed: 8000 },
+    { name: 'open-mistral-nemo', label: 'Mistral Nemo', provider: 'Mistral', maxTokenAllowed: 8000 },
+    { name: 'ministral-8b-latest', label: 'Mistral 8B', provider: 'Mistral', maxTokenAllowed: 8000 },
+    { name: 'mistral-small-latest', label: 'Mistral Small', provider: 'Mistral', maxTokenAllowed: 8000 },
+    { name: 'codestral-latest', label: 'Codestral', provider: 'Mistral', maxTokenAllowed: 8000 },
+    { name: 'mistral-large-latest', label: 'Mistral Large Latest', provider: 'Mistral', maxTokenAllowed: 8000 },
+  ];
+
+  getModelInstance(options: {
+    model: string;
+    serverEnv: Env;
+    apiKeys?: Record<string, string>;
+    providerSettings?: Record<string, IProviderSetting>;
+  }): LanguageModelV1 {
+    const { model, serverEnv, apiKeys, providerSettings } = options;
+
+    const { apiKey } = this.getProviderBaseUrlAndKey({
+      apiKeys,
+      providerSettings: providerSettings?.[this.name],
+      serverEnv: serverEnv as any,
+      defaultBaseUrlKey: '',
+      defaultApiTokenKey: 'MISTRAL_API_KEY',
+    });
+
+    if (!apiKey) {
+      throw new Error(`Missing API key for ${this.name} provider`);
+    }
+
+    const mistral = createMistral({
+      apiKey,
+    });
+
+    return mistral(model);
+  }
+}

app/lib/modules/llm/providers/ollama.ts

@@ -0,0 +1,118 @@
+import { BaseProvider } from '~/lib/modules/llm/base-provider';
+import type { ModelInfo } from '~/lib/modules/llm/types';
+import type { IProviderSetting } from '~/types/model';
+import type { LanguageModelV1 } from 'ai';
+import { ollama } from 'ollama-ai-provider';
+import { logger } from '~/utils/logger';
+
+interface OllamaModelDetails {
+  parent_model: string;
+  format: string;
+  family: string;
+  families: string[];
+  parameter_size: string;
+  quantization_level: string;
+}
+
+export interface OllamaModel {
+  name: string;
+  model: string;
+  modified_at: string;
+  size: number;
+  digest: string;
+  details: OllamaModelDetails;
+}
+
+export interface OllamaApiResponse {
+  models: OllamaModel[];
+}
+
+export const DEFAULT_NUM_CTX = process?.env?.DEFAULT_NUM_CTX ? parseInt(process.env.DEFAULT_NUM_CTX, 10) : 32768;
+
+export default class OllamaProvider extends BaseProvider {
+  name = 'Ollama';
+  getApiKeyLink = 'https://ollama.com/download';
+  labelForGetApiKey = 'Download Ollama';
+  icon = 'i-ph:cloud-arrow-down';
+
+  config = {
+    baseUrlKey: 'OLLAMA_API_BASE_URL',
+  };
+
+  staticModels: ModelInfo[] = [];
+
+  async getDynamicModels(
+    apiKeys?: Record<string, string>,
+    settings?: IProviderSetting,
+    serverEnv: Record<string, string> = {},
+  ): Promise<ModelInfo[]> {
+    let { baseUrl } = this.getProviderBaseUrlAndKey({
+      apiKeys,
+      providerSettings: settings,
+      serverEnv,
+      defaultBaseUrlKey: 'OLLAMA_API_BASE_URL',
+      defaultApiTokenKey: '',
+    });
+
+    if (!baseUrl) {
+      throw new Error('No baseUrl found for OLLAMA provider');
+    }
+
+    if (typeof window === 'undefined') {
+      /*
+       * Running in Server
+       * Backend: Check if we're running in Docker
+       */
+      const isDocker = process.env.RUNNING_IN_DOCKER === 'true';
+
+      baseUrl = isDocker ? baseUrl.replace('localhost', 'host.docker.internal') : baseUrl;
+      baseUrl = isDocker ? baseUrl.replace('127.0.0.1', 'host.docker.internal') : baseUrl;
+    }
+
+    const response = await fetch(`${baseUrl}/api/tags`);
+    const data = (await response.json()) as OllamaApiResponse;
+
+    // console.log({ ollamamodels: data.models });
+
+    return data.models.map((model: OllamaModel) => ({
+      name: model.name,
+      label: `${model.name} (${model.details.parameter_size})`,
+      provider: this.name,
+      maxTokenAllowed: 8000,
+    }));
+  }
+  getModelInstance: (options: {
+    model: string;
+    serverEnv: Env;
+    apiKeys?: Record<string, string>;
+    providerSettings?: Record<string, IProviderSetting>;
+  }) => LanguageModelV1 = (options) => {
+    const { apiKeys, providerSettings, serverEnv, model } = options;
+    let { baseUrl } = this.getProviderBaseUrlAndKey({
+      apiKeys,
+      providerSettings: providerSettings?.[this.name],
+      serverEnv: serverEnv as any,
+      defaultBaseUrlKey: 'OLLAMA_API_BASE_URL',
+      defaultApiTokenKey: '',
+    });
+
+    // Backend: Check if we're running in Docker
+    if (!baseUrl) {
+      throw new Error('No baseUrl found for OLLAMA provider');
+    }
+
+    const isDocker = process.env.RUNNING_IN_DOCKER === 'true';
+    baseUrl = isDocker ? baseUrl.replace('localhost', 'host.docker.internal') : baseUrl;
+    baseUrl = isDocker ? baseUrl.replace('127.0.0.1', 'host.docker.internal') : baseUrl;
+
+    logger.debug('Ollama Base Url used: ', baseUrl);
+
+    const ollamaInstance = ollama(model, {
+      numCtx: DEFAULT_NUM_CTX,
+    }) as LanguageModelV1 & { config: any };
+
+    ollamaInstance.config.baseURL = `${baseUrl}/api`;
+
+    return ollamaInstance;
+  };
+}

app/lib/modules/llm/providers/open-router.ts

@@ -0,0 +1,131 @@
+import { BaseProvider } from '~/lib/modules/llm/base-provider';
+import type { ModelInfo } from '~/lib/modules/llm/types';
+import type { IProviderSetting } from '~/types/model';
+import type { LanguageModelV1 } from 'ai';
+import { createOpenRouter } from '@openrouter/ai-sdk-provider';
+
+interface OpenRouterModel {
+  name: string;
+  id: string;
+  context_length: number;
+  pricing: {
+    prompt: number;
+    completion: number;
+  };
+}
+
+interface OpenRouterModelsResponse {
+  data: OpenRouterModel[];
+}
+
+export default class OpenRouterProvider extends BaseProvider {
+  name = 'OpenRouter';
+  getApiKeyLink = 'https://openrouter.ai/settings/keys';
+
+  config = {
+    apiTokenKey: 'OPEN_ROUTER_API_KEY',
+  };
+
+  staticModels: ModelInfo[] = [
+    {
+      name: 'anthropic/claude-3.5-sonnet',
+      label: 'Anthropic: Claude 3.5 Sonnet (OpenRouter)',
+      provider: 'OpenRouter',
+      maxTokenAllowed: 8000,
+    },
+    {
+      name: 'anthropic/claude-3-haiku',
+      label: 'Anthropic: Claude 3 Haiku (OpenRouter)',
+      provider: 'OpenRouter',
+      maxTokenAllowed: 8000,
+    },
+    {
+      name: 'deepseek/deepseek-coder',
+      label: 'Deepseek-Coder V2 236B (OpenRouter)',
+      provider: 'OpenRouter',
+      maxTokenAllowed: 8000,
+    },
+    {
+      name: 'google/gemini-flash-1.5',
+      label: 'Google Gemini Flash 1.5 (OpenRouter)',
+      provider: 'OpenRouter',
+      maxTokenAllowed: 8000,
+    },
+    {
+      name: 'google/gemini-pro-1.5',
+      label: 'Google Gemini Pro 1.5 (OpenRouter)',
+      provider: 'OpenRouter',
+      maxTokenAllowed: 8000,
+    },
+    { name: 'x-ai/grok-beta', label: 'xAI Grok Beta (OpenRouter)', provider: 'OpenRouter', maxTokenAllowed: 8000 },
+    {
+      name: 'mistralai/mistral-nemo',
+      label: 'OpenRouter Mistral Nemo (OpenRouter)',
+      provider: 'OpenRouter',
+      maxTokenAllowed: 8000,
+    },
+    {
+      name: 'qwen/qwen-110b-chat',
+      label: 'OpenRouter Qwen 110b Chat (OpenRouter)',
+      provider: 'OpenRouter',
+      maxTokenAllowed: 8000,
+    },
+    { name: 'cohere/command', label: 'Cohere Command (OpenRouter)', provider: 'OpenRouter', maxTokenAllowed: 4096 },
+  ];
+
+  async getDynamicModels(
+    _apiKeys?: Record<string, string>,
+    _settings?: IProviderSetting,
+    _serverEnv: Record<string, string> = {},
+  ): Promise<ModelInfo[]> {
+    try {
+      const response = await fetch('https://openrouter.ai/api/v1/models', {
+        headers: {
+          'Content-Type': 'application/json',
+        },
+      });
+
+      const data = (await response.json()) as OpenRouterModelsResponse;
+
+      return data.data
+        .sort((a, b) => a.name.localeCompare(b.name))
+        .map((m) => ({
+          name: m.id,
+          label: `${m.name} - in:$${(m.pricing.prompt * 1_000_000).toFixed(2)} out:$${(m.pricing.completion * 1_000_000).toFixed(2)} - context ${Math.floor(m.context_length / 1000)}k`,
+          provider: this.name,
+          maxTokenAllowed: 8000,
+        }));
+    } catch (error) {
+      console.error('Error getting OpenRouter models:', error);
+      return [];
+    }
+  }
+
+  getModelInstance(options: {
+    model: string;
+    serverEnv: Env;
+    apiKeys?: Record<string, string>;
+    providerSettings?: Record<string, IProviderSetting>;
+  }): LanguageModelV1 {
+    const { model, serverEnv, apiKeys, providerSettings } = options;
+
+    const { apiKey } = this.getProviderBaseUrlAndKey({
+      apiKeys,
+      providerSettings: providerSettings?.[this.name],
+      serverEnv: serverEnv as any,
+      defaultBaseUrlKey: '',
+      defaultApiTokenKey: 'OPEN_ROUTER_API_KEY',
+    });
+
+    if (!apiKey) {
+      throw new Error(`Missing API key for ${this.name} provider`);
+    }
+
+    const openRouter = createOpenRouter({
+      apiKey,
+    });
+    const instance = openRouter.chat(model) as LanguageModelV1;
+
+    return instance;
+  }
+}

app/lib/modules/llm/providers/openai-like.ts

@@ -0,0 +1,72 @@
+import { BaseProvider, getOpenAILikeModel } from '~/lib/modules/llm/base-provider';
+import type { ModelInfo } from '~/lib/modules/llm/types';
+import type { IProviderSetting } from '~/types/model';
+import type { LanguageModelV1 } from 'ai';
+
+export default class OpenAILikeProvider extends BaseProvider {
+  name = 'OpenAILike';
+  getApiKeyLink = undefined;
+
+  config = {
+    baseUrlKey: 'OPENAI_LIKE_API_BASE_URL',
+    apiTokenKey: 'OPENAI_LIKE_API_KEY',
+  };
+
+  staticModels: ModelInfo[] = [];
+
+  async getDynamicModels(
+    apiKeys?: Record<string, string>,
+    settings?: IProviderSetting,
+    serverEnv: Record<string, string> = {},
+  ): Promise<ModelInfo[]> {
+    const { baseUrl, apiKey } = this.getProviderBaseUrlAndKey({
+      apiKeys,
+      providerSettings: settings,
+      serverEnv,
+      defaultBaseUrlKey: 'OPENAI_LIKE_API_BASE_URL',
+      defaultApiTokenKey: 'OPENAI_LIKE_API_KEY',
+    });
+
+    if (!baseUrl || !apiKey) {
+      return [];
+    }
+
+    const response = await fetch(`${baseUrl}/models`, {
+      headers: {
+        Authorization: `Bearer ${apiKey}`,
+      },
+    });
+
+    const res = (await response.json()) as any;
+
+    return res.data.map((model: any) => ({
+      name: model.id,
+      label: model.id,
+      provider: this.name,
+      maxTokenAllowed: 8000,
+    }));
+  }
+
+  getModelInstance(options: {
+    model: string;
+    serverEnv: Env;
+    apiKeys?: Record<string, string>;
+    providerSettings?: Record<string, IProviderSetting>;
+  }): LanguageModelV1 {
+    const { model, serverEnv, apiKeys, providerSettings } = options;
+
+    const { baseUrl, apiKey } = this.getProviderBaseUrlAndKey({
+      apiKeys,
+      providerSettings: providerSettings?.[this.name],
+      serverEnv: serverEnv as any,
+      defaultBaseUrlKey: 'OPENAI_LIKE_API_BASE_URL',
+      defaultApiTokenKey: 'OPENAI_LIKE_API_KEY',
+    });
+
+    if (!baseUrl || !apiKey) {
+      throw new Error(`Missing configuration for ${this.name} provider`);
+    }
+
+    return getOpenAILikeModel(baseUrl, apiKey, model);
+  }
+}

app/lib/modules/llm/providers/openai.ts

@@ -0,0 +1,49 @@
+import { BaseProvider } from '~/lib/modules/llm/base-provider';
+import type { ModelInfo } from '~/lib/modules/llm/types';
+import type { IProviderSetting } from '~/types/model';
+import type { LanguageModelV1 } from 'ai';
+import { createOpenAI } from '@ai-sdk/openai';
+
+export default class OpenAIProvider extends BaseProvider {
+  name = 'OpenAI';
+  getApiKeyLink = 'https://platform.openai.com/api-keys';
+
+  config = {
+    apiTokenKey: 'OPENAI_API_KEY',
+  };
+
+  staticModels: ModelInfo[] = [
+    { name: 'gpt-4o', label: 'GPT-4o', provider: 'OpenAI', maxTokenAllowed: 8000 },
+    { name: 'gpt-4o-mini', label: 'GPT-4o Mini', provider: 'OpenAI', maxTokenAllowed: 8000 },
+    { name: 'gpt-4-turbo', label: 'GPT-4 Turbo', provider: 'OpenAI', maxTokenAllowed: 8000 },
+    { name: 'gpt-4', label: 'GPT-4', provider: 'OpenAI', maxTokenAllowed: 8000 },
+    { name: 'gpt-3.5-turbo', label: 'GPT-3.5 Turbo', provider: 'OpenAI', maxTokenAllowed: 8000 },
+  ];
+
+  getModelInstance(options: {
+    model: string;
+    serverEnv: Env;
+    apiKeys?: Record<string, string>;
+    providerSettings?: Record<string, IProviderSetting>;
+  }): LanguageModelV1 {
+    const { model, serverEnv, apiKeys, providerSettings } = options;
+
+    const { apiKey } = this.getProviderBaseUrlAndKey({
+      apiKeys,
+      providerSettings: providerSettings?.[this.name],
+      serverEnv: serverEnv as any,
+      defaultBaseUrlKey: '',
+      defaultApiTokenKey: 'OPENAI_API_KEY',
+    });
+
+    if (!apiKey) {
+      throw new Error(`Missing API key for ${this.name} provider`);
+    }
+
+    const openai = createOpenAI({
+      apiKey,
+    });
+
+    return openai(model);
+  }
+}

app/lib/modules/llm/providers/perplexity.ts

@@ -0,0 +1,63 @@
+import { BaseProvider } from '~/lib/modules/llm/base-provider';
+import type { ModelInfo } from '~/lib/modules/llm/types';
+import type { IProviderSetting } from '~/types/model';
+import type { LanguageModelV1 } from 'ai';
+import { createOpenAI } from '@ai-sdk/openai';
+
+export default class PerplexityProvider extends BaseProvider {
+  name = 'Perplexity';
+  getApiKeyLink = 'https://www.perplexity.ai/settings/api';
+
+  config = {
+    apiTokenKey: 'PERPLEXITY_API_KEY',
+  };
+
+  staticModels: ModelInfo[] = [
+    {
+      name: 'llama-3.1-sonar-small-128k-online',
+      label: 'Sonar Small Online',
+      provider: 'Perplexity',
+      maxTokenAllowed: 8192,
+    },
+    {
+      name: 'llama-3.1-sonar-large-128k-online',
+      label: 'Sonar Large Online',
+      provider: 'Perplexity',
+      maxTokenAllowed: 8192,
+    },
+    {
+      name: 'llama-3.1-sonar-huge-128k-online',
+      label: 'Sonar Huge Online',
+      provider: 'Perplexity',
+      maxTokenAllowed: 8192,
+    },
+  ];
+
+  getModelInstance(options: {
+    model: string;
+    serverEnv: Env;
+    apiKeys?: Record<string, string>;
+    providerSettings?: Record<string, IProviderSetting>;
+  }): LanguageModelV1 {
+    const { model, serverEnv, apiKeys, providerSettings } = options;
+
+    const { apiKey } = this.getProviderBaseUrlAndKey({
+      apiKeys,
+      providerSettings: providerSettings?.[this.name],
+      serverEnv: serverEnv as any,
+      defaultBaseUrlKey: '',
+      defaultApiTokenKey: 'PERPLEXITY_API_KEY',
+    });
+
+    if (!apiKey) {
+      throw new Error(`Missing API key for ${this.name} provider`);
+    }
+
+    const perplexity = createOpenAI({
+      baseURL: 'https://api.perplexity.ai/',
+      apiKey,
+    });
+
+    return perplexity(model);
+  }
+}

app/lib/modules/llm/providers/together.ts

@@ -0,0 +1,95 @@
+import { BaseProvider, getOpenAILikeModel } from '~/lib/modules/llm/base-provider';
+import type { ModelInfo } from '~/lib/modules/llm/types';
+import type { IProviderSetting } from '~/types/model';
+import type { LanguageModelV1 } from 'ai';
+
+export default class TogetherProvider extends BaseProvider {
+  name = 'Together';
+  getApiKeyLink = 'https://api.together.xyz/settings/api-keys';
+
+  config = {
+    baseUrlKey: 'TOGETHER_API_BASE_URL',
+    apiTokenKey: 'TOGETHER_API_KEY',
+  };
+
+  staticModels: ModelInfo[] = [
+    {
+      name: 'Qwen/Qwen2.5-Coder-32B-Instruct',
+      label: 'Qwen/Qwen2.5-Coder-32B-Instruct',
+      provider: 'Together',
+      maxTokenAllowed: 8000,
+    },
+    {
+      name: 'meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo',
+      label: 'meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo',
+      provider: 'Together',
+      maxTokenAllowed: 8000,
+    },
+    {
+      name: 'mistralai/Mixtral-8x7B-Instruct-v0.1',
+      label: 'Mixtral 8x7B Instruct',
+      provider: 'Together',
+      maxTokenAllowed: 8192,
+    },
+  ];
+
+  async getDynamicModels(
+    apiKeys?: Record<string, string>,
+    settings?: IProviderSetting,
+    serverEnv: Record<string, string> = {},
+  ): Promise<ModelInfo[]> {
+    const { baseUrl: fetchBaseUrl, apiKey } = this.getProviderBaseUrlAndKey({
+      apiKeys,
+      providerSettings: settings,
+      serverEnv,
+      defaultBaseUrlKey: 'TOGETHER_API_BASE_URL',
+      defaultApiTokenKey: 'TOGETHER_API_KEY',
+    });
+    const baseUrl = fetchBaseUrl || 'https://api.together.xyz/v1';
+
+    if (!baseUrl || !apiKey) {
+      return [];
+    }
+
+    // console.log({ baseUrl, apiKey });
+
+    const response = await fetch(`${baseUrl}/models`, {
+      headers: {
+        Authorization: `Bearer ${apiKey}`,
+      },
+    });
+
+    const res = (await response.json()) as any;
+    const data = (res || []).filter((model: any) => model.type === 'chat');
+
+    return data.map((m: any) => ({
+      name: m.id,
+      label: `${m.display_name} - in:$${m.pricing.input.toFixed(2)} out:$${m.pricing.output.toFixed(2)} - context ${Math.floor(m.context_length / 1000)}k`,
+      provider: this.name,
+      maxTokenAllowed: 8000,
+    }));
+  }
+
+  getModelInstance(options: {
+    model: string;
+    serverEnv: Env;
+    apiKeys?: Record<string, string>;
+    providerSettings?: Record<string, IProviderSetting>;
+  }): LanguageModelV1 {
+    const { model, serverEnv, apiKeys, providerSettings } = options;
+
+    const { baseUrl, apiKey } = this.getProviderBaseUrlAndKey({
+      apiKeys,
+      providerSettings: providerSettings?.[this.name],
+      serverEnv: serverEnv as any,
+      defaultBaseUrlKey: 'TOGETHER_API_BASE_URL',
+      defaultApiTokenKey: 'TOGETHER_API_KEY',
+    });
+
+    if (!baseUrl || !apiKey) {
+      throw new Error(`Missing configuration for ${this.name} provider`);
+    }
+
+    return getOpenAILikeModel(baseUrl, apiKey, model);
+  }
+}

app/lib/modules/llm/providers/xai.ts

@@ -0,0 +1,47 @@
+import { BaseProvider } from '~/lib/modules/llm/base-provider';
+import type { ModelInfo } from '~/lib/modules/llm/types';
+import type { IProviderSetting } from '~/types/model';
+import type { LanguageModelV1 } from 'ai';
+import { createOpenAI } from '@ai-sdk/openai';
+
+export default class XAIProvider extends BaseProvider {
+  name = 'xAI';
+  getApiKeyLink = 'https://docs.x.ai/docs/quickstart#creating-an-api-key';
+
+  config = {
+    apiTokenKey: 'XAI_API_KEY',
+  };
+
+  staticModels: ModelInfo[] = [
+    { name: 'grok-beta', label: 'xAI Grok Beta', provider: 'xAI', maxTokenAllowed: 8000 },
+    { name: 'grok-2-1212', label: 'xAI Grok2 1212', provider: 'xAI', maxTokenAllowed: 8000 },
+  ];
+
+  getModelInstance(options: {
+    model: string;
+    serverEnv: Env;
+    apiKeys?: Record<string, string>;
+    providerSettings?: Record<string, IProviderSetting>;
+  }): LanguageModelV1 {
+    const { model, serverEnv, apiKeys, providerSettings } = options;
+
+    const { apiKey } = this.getProviderBaseUrlAndKey({
+      apiKeys,
+      providerSettings: providerSettings?.[this.name],
+      serverEnv: serverEnv as any,
+      defaultBaseUrlKey: '',
+      defaultApiTokenKey: 'XAI_API_KEY',
+    });
+
+    if (!apiKey) {
+      throw new Error(`Missing API key for ${this.name} provider`);
+    }
+
+    const openai = createOpenAI({
+      baseURL: 'https://api.x.ai/v1',
+      apiKey,
+    });
+
+    return openai(model);
+  }
+}

app/lib/modules/llm/registry.ts

@@ -0,0 +1,39 @@
+import AnthropicProvider from './providers/anthropic';
+import CohereProvider from './providers/cohere';
+import DeepseekProvider from './providers/deepseek';
+import GoogleProvider from './providers/google';
+import GroqProvider from './providers/groq';
+import HuggingFaceProvider from './providers/huggingface';
+import LMStudioProvider from './providers/lmstudio';
+import MistralProvider from './providers/mistral';
+import OllamaProvider from './providers/ollama';
+import OpenRouterProvider from './providers/open-router';
+import OpenAILikeProvider from './providers/openai-like';
+import OpenAIProvider from './providers/openai';
+import PerplexityProvider from './providers/perplexity';
+import TogetherProvider from './providers/together';
+import XAIProvider from './providers/xai';
+import HyperbolicProvider from './providers/hyperbolic';
+import AmazonBedrockProvider from './providers/amazon-bedrock';
+import GithubProvider from './providers/github';
+
+export {
+  AnthropicProvider,
+  CohereProvider,
+  DeepseekProvider,
+  GoogleProvider,
+  GroqProvider,
+  HuggingFaceProvider,
+  HyperbolicProvider,
+  MistralProvider,
+  OllamaProvider,
+  OpenAIProvider,
+  OpenRouterProvider,
+  OpenAILikeProvider,
+  PerplexityProvider,
+  XAIProvider,
+  TogetherProvider,
+  LMStudioProvider,
+  AmazonBedrockProvider,
+  GithubProvider,
+};

app/lib/modules/llm/types.ts

@@ -0,0 +1,33 @@
+import type { LanguageModelV1 } from 'ai';
+import type { IProviderSetting } from '~/types/model';
+
+export interface ModelInfo {
+  name: string;
+  label: string;
+  provider: string;
+  maxTokenAllowed: number;
+}
+
+export interface ProviderInfo {
+  name: string;
+  staticModels: ModelInfo[];
+  getDynamicModels?: (
+    apiKeys?: Record<string, string>,
+    settings?: IProviderSetting,
+    serverEnv?: Record<string, string>,
+  ) => Promise<ModelInfo[]>;
+  getModelInstance: (options: {
+    model: string;
+    serverEnv: Env;
+    apiKeys?: Record<string, string>;
+    providerSettings?: Record<string, IProviderSetting>;
+  }) => LanguageModelV1;
+  getApiKeyLink?: string;
+  labelForGetApiKey?: string;
+  icon?: string;
+}
+export interface ProviderConfig {
+  baseUrlKey?: string;
+  baseUrl?: string;
+  apiTokenKey?: string;
+}

app/lib/runtime/action-runner.ts

@@ -1,7 +1,7 @@
 import { WebContainer } from '@webcontainer/api';
 import { atom, map, type MapStore } from 'nanostores';
 import * as nodePath from 'node:path';
-import type { BoltAction } from '~/types/actions';
+import type { ActionAlert, BoltAction } from '~/types/actions';
 import { createScopedLogger } from '~/utils/logger';
 import { unreachable } from '~/utils/unreachable';
 import type { ActionCallbackData } from './message-parser';
@@ -34,16 +34,51 @@ export type ActionStateUpdate =
 
 type ActionsMap = MapStore<Record<string, ActionState>>;
 
+class ActionCommandError extends Error {
+  readonly _output: string;
+  readonly _header: string;
+
+  constructor(message: string, output: string) {
+    // Create a formatted message that includes both the error message and output
+    const formattedMessage = `Failed To Execute Shell Command: ${message}\n\nOutput:\n${output}`;
+    super(formattedMessage);
+
+    // Set the output separately so it can be accessed programmatically
+    this._header = message;
+    this._output = output;
+
+    // Maintain proper prototype chain
+    Object.setPrototypeOf(this, ActionCommandError.prototype);
+
+    // Set the name of the error for better debugging
+    this.name = 'ActionCommandError';
+  }
+
+  // Optional: Add a method to get just the terminal output
+  get output() {
+    return this._output;
+  }
+  get header() {
+    return this._header;
+  }
+}
+
 export class ActionRunner {
   #webcontainer: Promise<WebContainer>;
   #currentExecutionPromise: Promise<void> = Promise.resolve();
   #shellTerminal: () => BoltShell;
   runnerId = atom<string>(`${Date.now()}`);
   actions: ActionsMap = map({});
+  onAlert?: (alert: ActionAlert) => void;
 
-  constructor(webcontainerPromise: Promise<WebContainer>, getShellTerminal: () => BoltShell) {
+  constructor(
+    webcontainerPromise: Promise<WebContainer>,
+    getShellTerminal: () => BoltShell,
+    onAlert?: (alert: ActionAlert) => void,
+  ) {
     this.#webcontainer = webcontainerPromise;
     this.#shellTerminal = getShellTerminal;
+    this.onAlert = onAlert;
   }
 
   addAction(data: ActionCallbackData) {
@@ -126,7 +161,25 @@ export class ActionRunner {
 
           this.#runStartAction(action)
             .then(() => this.#updateAction(actionId, { status: 'complete' }))
-            .catch(() => this.#updateAction(actionId, { status: 'failed', error: 'Action failed' }));
+            .catch((err: Error) => {
+              if (action.abortSignal.aborted) {
+                return;
+              }
+
+              this.#updateAction(actionId, { status: 'failed', error: 'Action failed' });
+              logger.error(`[${action.type}]:Action failed\n\n`, err);
+
+              if (!(err instanceof ActionCommandError)) {
+                return;
+              }
+
+              this.onAlert?.({
+                type: 'error',
+                title: 'Dev Server Failed',
+                description: err.header,
+                content: err.output,
+              });
+            });
 
           /*
            * adding a delay to avoid any race condition between 2 start actions
@@ -142,9 +195,24 @@ export class ActionRunner {
         status: isStreaming ? 'running' : action.abortSignal.aborted ? 'aborted' : 'complete',
       });
     } catch (error) {
+      if (action.abortSignal.aborted) {
+        return;
+      }
+
       this.#updateAction(actionId, { status: 'failed', error: 'Action failed' });
       logger.error(`[${action.type}]:Action failed\n\n`, error);
 
+      if (!(error instanceof ActionCommandError)) {
+        return;
+      }
+
+      this.onAlert?.({
+        type: 'error',
+        title: 'Dev Server Failed',
+        description: error.header,
+        content: error.output,
+      });
+
       // re-throw the error to be caught in the promise chain
       throw error;
     }
@@ -162,11 +230,14 @@ export class ActionRunner {
       unreachable('Shell terminal not found');
     }
 
-    const resp = await shell.executeCommand(this.runnerId.get(), action.content);
+    const resp = await shell.executeCommand(this.runnerId.get(), action.content, () => {
+      logger.debug(`[${action.type}]:Aborting Action\n\n`, action);
+      action.abort();
+    });
     logger.debug(`${action.type} Shell Response: [exit code:${resp?.exitCode}]`);
 
     if (resp?.exitCode != 0) {
-      throw new Error('Failed To Execute Shell Command');
+      throw new ActionCommandError(`Failed To Execute Shell Command`, resp?.output || 'No Output Available');
     }
   }
 
@@ -186,11 +257,14 @@ export class ActionRunner {
       unreachable('Shell terminal not found');
     }
 
-    const resp = await shell.executeCommand(this.runnerId.get(), action.content);
+    const resp = await shell.executeCommand(this.runnerId.get(), action.content, () => {
+      logger.debug(`[${action.type}]:Aborting Action\n\n`, action);
+      action.abort();
+    });
     logger.debug(`${action.type} Shell Response: [exit code:${resp?.exitCode}]`);
 
     if (resp?.exitCode != 0) {
-      throw new Error('Failed To Start Application');
+      throw new ActionCommandError('Failed To Start Application', resp?.output || 'No Output Available');
     }
 
     return resp;

app/lib/runtime/message-parser.ts

@@ -52,6 +52,18 @@ interface MessageState {
   actionId: number;
 }
 
+function cleanoutMarkdownSyntax(content: string) {
+  const codeBlockRegex = /^\s*```\w*\n([\s\S]*?)\n\s*```\s*$/;
+  const match = content.match(codeBlockRegex);
+
+  // console.log('matching', !!match, content);
+
+  if (match) {
+    return match[1]; // Remove common leading 4-space indent
+  } else {
+    return content;
+  }
+}
 export class StreamingMessageParser {
   #messages = new Map<string, MessageState>();
 
@@ -95,6 +107,11 @@ export class StreamingMessageParser {
             let content = currentAction.content.trim();
 
             if ('type' in currentAction && currentAction.type === 'file') {
+              // Remove markdown code block syntax if present and file is not markdown
+              if (!currentAction.filePath.endsWith('.md')) {
+                content = cleanoutMarkdownSyntax(content);
+              }
+
               content += '\n';
             }
 
@@ -120,7 +137,11 @@ export class StreamingMessageParser {
             i = closeIndex + ARTIFACT_ACTION_TAG_CLOSE.length;
           } else {
             if ('type' in currentAction && currentAction.type === 'file') {
-              const content = input.slice(i);
+              let content = input.slice(i);
+
+              if (!currentAction.filePath.endsWith('.md')) {
+                content = cleanoutMarkdownSyntax(content);
+              }
 
               this._options.callbacks?.onActionStream?.({
                 artifactId: currentArtifact.id,

app/lib/stores/previews.ts

@@ -1,27 +1,192 @@
 import type { WebContainer } from '@webcontainer/api';
 import { atom } from 'nanostores';
 
+// Extend Window interface to include our custom property
+declare global {
+  interface Window {
+    _tabId?: string;
+  }
+}
+
 export interface PreviewInfo {
   port: number;
   ready: boolean;
   baseUrl: string;
 }
 
+// Create a broadcast channel for preview updates
+const PREVIEW_CHANNEL = 'preview-updates';
+
 export class PreviewsStore {
   #availablePreviews = new Map<number, PreviewInfo>();
   #webcontainer: Promise<WebContainer>;
+  #broadcastChannel: BroadcastChannel;
+  #lastUpdate = new Map<string, number>();
+  #watchedFiles = new Set<string>();
+  #refreshTimeouts = new Map<string, NodeJS.Timeout>();
+  #REFRESH_DELAY = 300;
+  #storageChannel: BroadcastChannel;
 
   previews = atom<PreviewInfo[]>([]);
 
   constructor(webcontainerPromise: Promise<WebContainer>) {
     this.#webcontainer = webcontainerPromise;
+    this.#broadcastChannel = new BroadcastChannel(PREVIEW_CHANNEL);
+    this.#storageChannel = new BroadcastChannel('storage-sync-channel');
+
+    // Listen for preview updates from other tabs
+    this.#broadcastChannel.onmessage = (event) => {
+      const { type, previewId } = event.data;
+
+      if (type === 'file-change') {
+        const timestamp = event.data.timestamp;
+        const lastUpdate = this.#lastUpdate.get(previewId) || 0;
+
+        if (timestamp > lastUpdate) {
+          this.#lastUpdate.set(previewId, timestamp);
+          this.refreshPreview(previewId);
+        }
+      }
+    };
+
+    // Listen for storage sync messages
+    this.#storageChannel.onmessage = (event) => {
+      const { storage, source } = event.data;
+
+      if (storage && source !== this._getTabId()) {
+        this._syncStorage(storage);
+      }
+    };
+
+    // Override localStorage setItem to catch all changes
+    if (typeof window !== 'undefined') {
+      const originalSetItem = localStorage.setItem;
+
+      localStorage.setItem = (...args) => {
+        originalSetItem.apply(localStorage, args);
+        this._broadcastStorageSync();
+      };
+    }
 
     this.#init();
   }
 
+  // Generate a unique ID for this tab
+  private _getTabId(): string {
+    if (typeof window !== 'undefined') {
+      if (!window._tabId) {
+        window._tabId = Math.random().toString(36).substring(2, 15);
+      }
+
+      return window._tabId;
+    }
+
+    return '';
+  }
+
+  // Sync storage data between tabs
+  private _syncStorage(storage: Record<string, string>) {
+    if (typeof window !== 'undefined') {
+      Object.entries(storage).forEach(([key, value]) => {
+        try {
+          const originalSetItem = Object.getPrototypeOf(localStorage).setItem;
+          originalSetItem.call(localStorage, key, value);
+        } catch (error) {
+          console.error('[Preview] Error syncing storage:', error);
+        }
+      });
+
+      // Force a refresh after syncing storage
+      const previews = this.previews.get();
+      previews.forEach((preview) => {
+        const previewId = this.getPreviewId(preview.baseUrl);
+
+        if (previewId) {
+          this.refreshPreview(previewId);
+        }
+      });
+
+      // Reload the page content
+      if (typeof window !== 'undefined' && window.location) {
+        const iframe = document.querySelector('iframe');
+
+        if (iframe) {
+          iframe.src = iframe.src;
+        }
+      }
+    }
+  }
+
+  // Broadcast storage state to other tabs
+  private _broadcastStorageSync() {
+    if (typeof window !== 'undefined') {
+      const storage: Record<string, string> = {};
+
+      for (let i = 0; i < localStorage.length; i++) {
+        const key = localStorage.key(i);
+
+        if (key) {
+          storage[key] = localStorage.getItem(key) || '';
+        }
+      }
+
+      this.#storageChannel.postMessage({
+        type: 'storage-sync',
+        storage,
+        source: this._getTabId(),
+        timestamp: Date.now(),
+      });
+    }
+  }
+
   async #init() {
     const webcontainer = await this.#webcontainer;
 
+    // Listen for server ready events
+    webcontainer.on('server-ready', (port, url) => {
+      console.log('[Preview] Server ready on port:', port, url);
+      this.broadcastUpdate(url);
+
+      // Initial storage sync when preview is ready
+      this._broadcastStorageSync();
+    });
+
+    try {
+      // Watch for file changes
+      const watcher = await webcontainer.fs.watch('**/*', { persistent: true });
+
+      // Use the native watch events
+      (watcher as any).addEventListener('change', async () => {
+        const previews = this.previews.get();
+
+        for (const preview of previews) {
+          const previewId = this.getPreviewId(preview.baseUrl);
+
+          if (previewId) {
+            this.broadcastFileChange(previewId);
+          }
+        }
+      });
+
+      // Watch for DOM changes that might affect storage
+      if (typeof window !== 'undefined') {
+        const observer = new MutationObserver((_mutations) => {
+          // Broadcast storage changes when DOM changes
+          this._broadcastStorageSync();
+        });
+
+        observer.observe(document.body, {
+          childList: true,
+          subtree: true,
+          characterData: true,
+          attributes: true,
+        });
+      }
+    } catch (error) {
+      console.error('[Preview] Error setting up watchers:', error);
+    }
+
+    // Listen for port events
     webcontainer.on('port', (port, type, url) => {
       let previewInfo = this.#availablePreviews.get(port);
 
@@ -44,6 +209,101 @@ export class PreviewsStore {
       previewInfo.baseUrl = url;
 
       this.previews.set([...previews]);
+
+      if (type === 'open') {
+        this.broadcastUpdate(url);
+      }
     });
   }
+
+  // Helper to extract preview ID from URL
+  getPreviewId(url: string): string | null {
+    const match = url.match(/^https?:\/\/([^.]+)\.local-credentialless\.webcontainer-api\.io/);
+    return match ? match[1] : null;
+  }
+
+  // Broadcast state change to all tabs
+  broadcastStateChange(previewId: string) {
+    const timestamp = Date.now();
+    this.#lastUpdate.set(previewId, timestamp);
+
+    this.#broadcastChannel.postMessage({
+      type: 'state-change',
+      previewId,
+      timestamp,
+    });
+  }
+
+  // Broadcast file change to all tabs
+  broadcastFileChange(previewId: string) {
+    const timestamp = Date.now();
+    this.#lastUpdate.set(previewId, timestamp);
+
+    this.#broadcastChannel.postMessage({
+      type: 'file-change',
+      previewId,
+      timestamp,
+    });
+  }
+
+  // Broadcast update to all tabs
+  broadcastUpdate(url: string) {
+    const previewId = this.getPreviewId(url);
+
+    if (previewId) {
+      const timestamp = Date.now();
+      this.#lastUpdate.set(previewId, timestamp);
+
+      this.#broadcastChannel.postMessage({
+        type: 'file-change',
+        previewId,
+        timestamp,
+      });
+    }
+  }
+
+  // Method to refresh a specific preview
+  refreshPreview(previewId: string) {
+    // Clear any pending refresh for this preview
+    const existingTimeout = this.#refreshTimeouts.get(previewId);
+
+    if (existingTimeout) {
+      clearTimeout(existingTimeout);
+    }
+
+    // Set a new timeout for this refresh
+    const timeout = setTimeout(() => {
+      const previews = this.previews.get();
+      const preview = previews.find((p) => this.getPreviewId(p.baseUrl) === previewId);
+
+      if (preview) {
+        preview.ready = false;
+        this.previews.set([...previews]);
+
+        requestAnimationFrame(() => {
+          preview.ready = true;
+          this.previews.set([...previews]);
+        });
+      }
+
+      this.#refreshTimeouts.delete(previewId);
+    }, this.#REFRESH_DELAY);
+
+    this.#refreshTimeouts.set(previewId, timeout);
+  }
+}
+
+// Create a singleton instance
+let previewsStore: PreviewsStore | null = null;
+
+export function usePreviewStore() {
+  if (!previewsStore) {
+    /*
+     * Initialize with a Promise that resolves to WebContainer
+     * This should match how you're initializing WebContainer elsewhere
+     */
+    previewsStore = new PreviewsStore(Promise.resolve({} as WebContainer));
+  }
+
+  return previewsStore;
 }

app/lib/stores/settings.ts

@@ -39,6 +39,9 @@ PROVIDER_LIST.forEach((provider) => {
     },
   };
 });
+
+//TODO: need to create one single map for all these flags
+
 export const providersStore = map<ProviderSetting>(initialProviderSettings);
 
 export const isDebugMode = atom(false);
@@ -50,3 +53,6 @@ export const isLocalModelsEnabled = atom(true);
 export const promptStore = atom<string>('default');
 
 export const latestBranchStore = atom(false);
+
+export const autoSelectStarterTemplate = atom(false);
+export const enableContextOptimizationStore = atom(false);

app/lib/stores/workbench.ts

@@ -17,6 +17,7 @@ import { extractRelativePath } from '~/utils/diff';
 import { description } from '~/lib/persistence';
 import Cookies from 'js-cookie';
 import { createSampler } from '~/utils/sampler';
+import type { ActionAlert } from '~/types/actions';
 
 export interface ArtifactState {
   id: string;
@@ -38,11 +39,15 @@ export class WorkbenchStore {
   #editorStore = new EditorStore(this.#filesStore);
   #terminalStore = new TerminalStore(webcontainer);
 
+  #reloadedMessages = new Set<string>();
+
   artifacts: Artifacts = import.meta.hot?.data.artifacts ?? map({});
 
   showWorkbench: WritableAtom<boolean> = import.meta.hot?.data.showWorkbench ?? atom(false);
   currentView: WritableAtom<WorkbenchViewType> = import.meta.hot?.data.currentView ?? atom('code');
   unsavedFiles: WritableAtom<Set<string>> = import.meta.hot?.data.unsavedFiles ?? atom(new Set<string>());
+  actionAlert: WritableAtom<ActionAlert | undefined> =
+    import.meta.hot?.data.unsavedFiles ?? atom<ActionAlert | undefined>(undefined);
   modifiedFiles = new Set<string>();
   artifactIdList: string[] = [];
   #globalExecutionQueue = Promise.resolve();
@@ -52,6 +57,7 @@ export class WorkbenchStore {
       import.meta.hot.data.unsavedFiles = this.unsavedFiles;
       import.meta.hot.data.showWorkbench = this.showWorkbench;
       import.meta.hot.data.currentView = this.currentView;
+      import.meta.hot.data.actionAlert = this.actionAlert;
     }
   }
 
@@ -89,6 +95,12 @@ export class WorkbenchStore {
   get boltTerminal() {
     return this.#terminalStore.boltTerminal;
   }
+  get alert() {
+    return this.actionAlert;
+  }
+  clearAlert() {
+    this.actionAlert.set(undefined);
+  }
 
   toggleTerminal(value?: boolean) {
     this.#terminalStore.toggleTerminal(value);
@@ -233,6 +245,10 @@ export class WorkbenchStore {
     // TODO: what do we wanna do and how do we wanna recover from this?
   }
 
+  setReloadedMessages(messages: string[]) {
+    this.#reloadedMessages = new Set(messages);
+  }
+
   addArtifact({ messageId, title, id, type }: ArtifactCallbackData) {
     const artifact = this.#getArtifact(messageId);
 
@@ -249,7 +265,17 @@ export class WorkbenchStore {
       title,
       closed: false,
       type,
-      runner: new ActionRunner(webcontainer, () => this.boltTerminal),
+      runner: new ActionRunner(
+        webcontainer,
+        () => this.boltTerminal,
+        (alert) => {
+          if (this.#reloadedMessages.has(messageId)) {
+            return;
+          }
+
+          this.actionAlert.set(alert);
+        },
+      ),
     });
   }
 

app/lib/webcontainer/index.ts

@@ -1,5 +1,6 @@
 import { WebContainer } from '@webcontainer/api';
 import { WORK_DIR_NAME } from '~/utils/constants';
+import { cleanStackTrace } from '~/utils/stacktrace';
 
 interface WebContainerContext {
   loaded: boolean;
@@ -22,10 +23,34 @@ if (!import.meta.env.SSR) {
     import.meta.hot?.data.webcontainer ??
     Promise.resolve()
       .then(() => {
-        return WebContainer.boot({ workdirName: WORK_DIR_NAME });
+        return WebContainer.boot({
+          coep: 'credentialless',
+          workdirName: WORK_DIR_NAME,
+          forwardPreviewErrors: true, // Enable error forwarding from iframes
+        });
       })
-      .then((webcontainer) => {
+      .then(async (webcontainer) => {
         webcontainerContext.loaded = true;
+
+        const { workbenchStore } = await import('~/lib/stores/workbench');
+
+        // Listen for preview errors
+        webcontainer.on('preview-message', (message) => {
+          console.log('WebContainer preview message:', message);
+
+          // Handle both uncaught exceptions and unhandled promise rejections
+          if (message.type === 'PREVIEW_UNCAUGHT_EXCEPTION' || message.type === 'PREVIEW_UNHANDLED_REJECTION') {
+            const isPromise = message.type === 'PREVIEW_UNHANDLED_REJECTION';
+            workbenchStore.actionAlert.set({
+              type: 'preview',
+              title: isPromise ? 'Unhandled Promise Rejection' : 'Uncaught Exception',
+              description: message.message,
+              content: `Error occurred at ${message.pathname}${message.search}${message.hash}\nPort: ${message.port}\n\nStack trace:\n${cleanStackTrace(message.stack || '')}`,
+              source: 'preview',
+            });
+          }
+        });
+
         return webcontainer;
       });
 

app/routes/api.chat.ts

@@ -1,15 +1,22 @@
 import { type ActionFunctionArgs } from '@remix-run/cloudflare';
-import { createDataStream } from 'ai';
+import { createDataStream, generateId } from 'ai';
-import { MAX_RESPONSE_SEGMENTS, MAX_TOKENS } from '~/lib/.server/llm/constants';
+import { MAX_RESPONSE_SEGMENTS, MAX_TOKENS, type FileMap } from '~/lib/.server/llm/constants';
 import { CONTINUE_PROMPT } from '~/lib/common/prompts/prompts';
 import { streamText, type Messages, type StreamingOptions } from '~/lib/.server/llm/stream-text';
 import SwitchableStream from '~/lib/.server/llm/switchable-stream';
 import type { IProviderSetting } from '~/types/model';
+import { createScopedLogger } from '~/utils/logger';
+import { getFilePaths, selectContext } from '~/lib/.server/llm/select-context';
+import type { ContextAnnotation, ProgressAnnotation } from '~/types/context';
+import { WORK_DIR } from '~/utils/constants';
+import { createSummary } from '~/lib/.server/llm/create-summary';
 
 export async function action(args: ActionFunctionArgs) {
   return chatAction(args);
 }
 
+const logger = createScopedLogger('api.chat');
+
 function parseCookies(cookieHeader: string): Record<string, string> {
   const cookies: Record<string, string> = {};
 
@@ -29,10 +36,11 @@ function parseCookies(cookieHeader: string): Record<string, string> {
 }
 
 async function chatAction({ context, request }: ActionFunctionArgs) {
-  const { messages, files, promptId } = await request.json<{
+  const { messages, files, promptId, contextOptimization } = await request.json<{
     messages: Messages;
     files: any;
     promptId?: string;
+    contextOptimization: boolean;
   }>();
 
   const cookieHeader = request.headers.get('Cookie');
@@ -48,12 +56,113 @@ async function chatAction({ context, request }: ActionFunctionArgs) {
     promptTokens: 0,
     totalTokens: 0,
   };
+  const encoder: TextEncoder = new TextEncoder();
+  let progressCounter: number = 1;
 
   try {
+    const totalMessageContent = messages.reduce((acc, message) => acc + message.content, '');
+    logger.debug(`Total message length: ${totalMessageContent.split(' ').length}, words`);
+
+    const dataStream = createDataStream({
+      async execute(dataStream) {
+        const filePaths = getFilePaths(files || {});
+        let filteredFiles: FileMap | undefined = undefined;
+        let summary: string | undefined = undefined;
+
+        if (filePaths.length > 0 && contextOptimization) {
+          dataStream.writeData('HI ');
+          logger.debug('Generating Chat Summary');
+          dataStream.writeMessageAnnotation({
+            type: 'progress',
+            value: progressCounter++,
+            message: 'Generating Chat Summary',
+          } as ProgressAnnotation);
+
+          // Create a summary of the chat
+          console.log(`Messages count: ${messages.length}`);
+
+          summary = await createSummary({
+            messages: [...messages],
+            env: context.cloudflare?.env,
+            apiKeys,
+            providerSettings,
+            promptId,
+            contextOptimization,
+            onFinish(resp) {
+              if (resp.usage) {
+                logger.debug('createSummary token usage', JSON.stringify(resp.usage));
+                cumulativeUsage.completionTokens += resp.usage.completionTokens || 0;
+                cumulativeUsage.promptTokens += resp.usage.promptTokens || 0;
+                cumulativeUsage.totalTokens += resp.usage.totalTokens || 0;
+              }
+            },
+          });
+
+          dataStream.writeMessageAnnotation({
+            type: 'chatSummary',
+            summary,
+            chatId: messages.slice(-1)?.[0]?.id,
+          } as ContextAnnotation);
+
+          // Update context buffer
+          logger.debug('Updating Context Buffer');
+          dataStream.writeMessageAnnotation({
+            type: 'progress',
+            value: progressCounter++,
+            message: 'Updating Context Buffer',
+          } as ProgressAnnotation);
+
+          // Select context files
+          console.log(`Messages count: ${messages.length}`);
+          filteredFiles = await selectContext({
+            messages: [...messages],
+            env: context.cloudflare?.env,
+            apiKeys,
+            files,
+            providerSettings,
+            promptId,
+            contextOptimization,
+            summary,
+            onFinish(resp) {
+              if (resp.usage) {
+                logger.debug('selectContext token usage', JSON.stringify(resp.usage));
+                cumulativeUsage.completionTokens += resp.usage.completionTokens || 0;
+                cumulativeUsage.promptTokens += resp.usage.promptTokens || 0;
+                cumulativeUsage.totalTokens += resp.usage.totalTokens || 0;
+              }
+            },
+          });
+
+          if (filteredFiles) {
+            logger.debug(`files in context : ${JSON.stringify(Object.keys(filteredFiles))}`);
+          }
+
+          dataStream.writeMessageAnnotation({
+            type: 'codeContext',
+            files: Object.keys(filteredFiles).map((key) => {
+              let path = key;
+
+              if (path.startsWith(WORK_DIR)) {
+                path = path.replace(WORK_DIR, '');
+              }
+
+              return path;
+            }),
+          } as ContextAnnotation);
+
+          dataStream.writeMessageAnnotation({
+            type: 'progress',
+            value: progressCounter++,
+            message: 'Context Buffer Updated',
+          } as ProgressAnnotation);
+          logger.debug('Context Buffer Updated');
+        }
+
+        // Stream the text
         const options: StreamingOptions = {
           toolChoice: 'none',
           onFinish: async ({ text: content, finishReason, usage }) => {
-        console.log('usage', usage);
+            logger.debug('usage', JSON.stringify(usage));
 
             if (usage) {
               cumulativeUsage.completionTokens += usage.completionTokens || 0;
@@ -62,10 +171,6 @@ async function chatAction({ context, request }: ActionFunctionArgs) {
             }
 
             if (finishReason !== 'length') {
-          return stream
-            .switchSource(
-              createDataStream({
-                async execute(dataStream) {
               dataStream.writeMessageAnnotation({
                 type: 'usage',
                 value: {
@@ -74,11 +179,10 @@ async function chatAction({ context, request }: ActionFunctionArgs) {
                   totalTokens: cumulativeUsage.totalTokens,
                 },
               });
-                },
+              await new Promise((resolve) => setTimeout(resolve, 0));
-                onError: (error: any) => `Custom error: ${error.message}`,
+
-              }),
+              // stream.close();
-            )
+              return;
-            .then(() => stream.close());
             }
 
             if (stream.switches >= MAX_RESPONSE_SEGMENTS) {
@@ -87,45 +191,87 @@ async function chatAction({ context, request }: ActionFunctionArgs) {
 
             const switchesLeft = MAX_RESPONSE_SEGMENTS - stream.switches;
 
-        console.log(`Reached max token limit (${MAX_TOKENS}): Continuing message (${switchesLeft} switches left)`);
+            logger.info(`Reached max token limit (${MAX_TOKENS}): Continuing message (${switchesLeft} switches left)`);
 
-        messages.push({ role: 'assistant', content });
+            messages.push({ id: generateId(), role: 'assistant', content });
-        messages.push({ role: 'user', content: CONTINUE_PROMPT });
+            messages.push({ id: generateId(), role: 'user', content: CONTINUE_PROMPT });
 
             const result = await streamText({
               messages,
-          env: context.cloudflare.env,
+              env: context.cloudflare?.env,
               options,
               apiKeys,
               files,
               providerSettings,
               promptId,
+              contextOptimization,
             });
 
-        return stream.switchSource(result.toDataStream());
+            result.mergeIntoDataStream(dataStream);
+
+            (async () => {
+              for await (const part of result.fullStream) {
+                if (part.type === 'error') {
+                  const error: any = part.error;
+                  logger.error(`${error}`);
+
+                  return;
+                }
+              }
+            })();
+
+            return;
           },
         };
 
         const result = await streamText({
           messages,
-      env: context.cloudflare.env,
+          env: context.cloudflare?.env,
           options,
           apiKeys,
           files,
           providerSettings,
           promptId,
+          contextOptimization,
+          contextFiles: filteredFiles,
+          summary,
         });
 
-    stream.switchSource(result.toDataStream());
+        (async () => {
+          for await (const part of result.fullStream) {
+            if (part.type === 'error') {
+              const error: any = part.error;
+              logger.error(`${error}`);
 
-    return new Response(stream.readable, {
+              return;
+            }
+          }
+        })();
+
+        result.mergeIntoDataStream(dataStream);
+      },
+      onError: (error: any) => `Custom error: ${error.message}`,
+    }).pipeThrough(
+      new TransformStream({
+        transform: (chunk, controller) => {
+          // Convert the string stream to a byte stream
+          const str = typeof chunk === 'string' ? chunk : JSON.stringify(chunk);
+          controller.enqueue(encoder.encode(str));
+        },
+      }),
+    );
+
+    return new Response(dataStream, {
       status: 200,
       headers: {
-        contentType: 'text/plain; charset=utf-8',
+        'Content-Type': 'text/event-stream; charset=utf-8',
+        Connection: 'keep-alive',
+        'Cache-Control': 'no-cache',
+        'Text-Encoding': 'chunked',
       },
     });
   } catch (error: any) {
-    console.error(error);
+    logger.error(error);
 
     if (error.message?.includes('API key')) {
       throw new Response('Invalid or missing API key', {

app/routes/api.check-env-key.ts

@@ -0,0 +1,16 @@
+import type { LoaderFunction } from '@remix-run/cloudflare';
+import { providerBaseUrlEnvKeys } from '~/utils/constants';
+
+export const loader: LoaderFunction = async ({ context, request }) => {
+  const url = new URL(request.url);
+  const provider = url.searchParams.get('provider');
+
+  if (!provider || !providerBaseUrlEnvKeys[provider].apiTokenKey) {
+    return Response.json({ isSet: false });
+  }
+
+  const envVarName = providerBaseUrlEnvKeys[provider].apiTokenKey;
+  const isSet = !!(process.env[envVarName] || (context?.cloudflare?.env as Record<string, any>)?.[envVarName]);
+
+  return Response.json({ isSet });
+};

app/routes/api.enhancer.ts

@@ -1,37 +1,13 @@
 import { type ActionFunctionArgs } from '@remix-run/cloudflare';
-
-//import { StreamingTextResponse, parseStreamPart } from 'ai';
 import { streamText } from '~/lib/.server/llm/stream-text';
 import { stripIndents } from '~/utils/stripIndent';
-import type { IProviderSetting, ProviderInfo } from '~/types/model';
+import type { ProviderInfo } from '~/types/model';
-
+import { getApiKeysFromCookie, getProviderSettingsFromCookie } from '~/lib/api/cookies';
-const encoder = new TextEncoder();
-const decoder = new TextDecoder();
 
 export async function action(args: ActionFunctionArgs) {
   return enhancerAction(args);
 }
 
-function parseCookies(cookieHeader: string) {
-  const cookies: any = {};
-
-  // Split the cookie string by semicolons and spaces
-  const items = cookieHeader.split(';').map((cookie) => cookie.trim());
-
-  items.forEach((item) => {
-    const [name, ...rest] = item.split('=');
-
-    if (name && rest) {
-      // Decode the name and value, and join value parts in case it contains '='
-      const decodedName = decodeURIComponent(name.trim());
-      const decodedValue = decodeURIComponent(rest.join('=').trim());
-      cookies[decodedName] = decodedValue;
-    }
-  });
-
-  return cookies;
-}
-
 async function enhancerAction({ context, request }: ActionFunctionArgs) {
   const { message, model, provider } = await request.json<{
     message: string;
@@ -58,12 +34,8 @@ async function enhancerAction({ context, request }: ActionFunctionArgs) {
   }
 
   const cookieHeader = request.headers.get('Cookie');
-
+  const apiKeys = getApiKeysFromCookie(cookieHeader);
-  // Parse the cookie's value (returns an object or null if no cookie exists)
+  const providerSettings = getProviderSettingsFromCookie(cookieHeader);
-  const apiKeys = JSON.parse(parseCookies(cookieHeader || '').apiKeys || '{}');
-  const providerSettings: Record<string, IProviderSetting> = JSON.parse(
-    parseCookies(cookieHeader || '').providers || '{}',
-  );
 
   try {
     const result = await streamText({
@@ -102,37 +74,18 @@ async function enhancerAction({ context, request }: ActionFunctionArgs) {
           `,
         },
       ],
-      env: context.cloudflare.env,
+      env: context.cloudflare?.env as any,
       apiKeys,
       providerSettings,
     });
 
-    const transformStream = new TransformStream({
+    return new Response(result.textStream, {
-      transform(chunk, controller) {
-        const text = decoder.decode(chunk);
-        const lines = text.split('\n').filter((line) => line.trim() !== '');
-
-        for (const line of lines) {
-          try {
-            const parsed = JSON.parse(line);
-
-            if (parsed.type === 'text') {
-              controller.enqueue(encoder.encode(parsed.value));
-            }
-          } catch (e) {
-            // skip invalid JSON lines
-            console.warn('Failed to parse stream part:', line, e);
-          }
-        }
-      },
-    });
-
-    const transformedStream = result.toDataStream().pipeThrough(transformStream);
-
-    return new Response(transformedStream, {
       status: 200,
       headers: {
-        'Content-Type': 'text/plain; charset=utf-8',
+        'Content-Type': 'text/event-stream',
+        Connection: 'keep-alive',
+        'Cache-Control': 'no-cache',
+        'Text-Encoding': 'chunked',
       },
     });
   } catch (error: unknown) {

app/routes/api.git-proxy.$.ts

@@ -0,0 +1,65 @@
+import { json } from '@remix-run/cloudflare';
+import type { ActionFunctionArgs, LoaderFunctionArgs } from '@remix-run/cloudflare';
+
+// Handle all HTTP methods
+export async function action({ request, params }: ActionFunctionArgs) {
+  return handleProxyRequest(request, params['*']);
+}
+
+export async function loader({ request, params }: LoaderFunctionArgs) {
+  return handleProxyRequest(request, params['*']);
+}
+
+async function handleProxyRequest(request: Request, path: string | undefined) {
+  try {
+    if (!path) {
+      return json({ error: 'Invalid proxy URL format' }, { status: 400 });
+    }
+
+    const url = new URL(request.url);
+
+    // Reconstruct the target URL
+    const targetURL = `https://${path}${url.search}`;
+
+    // Forward the request to the target URL
+    const response = await fetch(targetURL, {
+      method: request.method,
+      headers: {
+        ...Object.fromEntries(request.headers),
+
+        // Override host header with the target host
+        host: new URL(targetURL).host,
+      },
+      body: ['GET', 'HEAD'].includes(request.method) ? null : await request.arrayBuffer(),
+    });
+
+    // Create response with CORS headers
+    const corsHeaders = {
+      'Access-Control-Allow-Origin': '*',
+      'Access-Control-Allow-Methods': 'GET, POST, PUT, DELETE, OPTIONS',
+      'Access-Control-Allow-Headers': '*',
+    };
+
+    // Handle preflight requests
+    if (request.method === 'OPTIONS') {
+      return new Response(null, {
+        headers: corsHeaders,
+        status: 204,
+      });
+    }
+
+    // Forward the response with CORS headers
+    const responseHeaders = new Headers(response.headers);
+    Object.entries(corsHeaders).forEach(([key, value]) => {
+      responseHeaders.set(key, value);
+    });
+
+    return new Response(response.body, {
+      status: response.status,
+      headers: responseHeaders,
+    });
+  } catch (error) {
+    console.error('Git proxy error:', error);
+    return json({ error: 'Proxy error' }, { status: 500 });
+  }
+}

app/routes/api.llmcall.ts

@@ -0,0 +1,149 @@
+import { type ActionFunctionArgs } from '@remix-run/cloudflare';
+import { streamText } from '~/lib/.server/llm/stream-text';
+import type { IProviderSetting, ProviderInfo } from '~/types/model';
+import { generateText } from 'ai';
+import { PROVIDER_LIST } from '~/utils/constants';
+import { MAX_TOKENS } from '~/lib/.server/llm/constants';
+import { LLMManager } from '~/lib/modules/llm/manager';
+import type { ModelInfo } from '~/lib/modules/llm/types';
+import { getApiKeysFromCookie, getProviderSettingsFromCookie } from '~/lib/api/cookies';
+
+export async function action(args: ActionFunctionArgs) {
+  return llmCallAction(args);
+}
+
+async function getModelList(options: {
+  apiKeys?: Record<string, string>;
+  providerSettings?: Record<string, IProviderSetting>;
+  serverEnv?: Record<string, string>;
+}) {
+  const llmManager = LLMManager.getInstance(import.meta.env);
+  return llmManager.updateModelList(options);
+}
+
+async function llmCallAction({ context, request }: ActionFunctionArgs) {
+  const { system, message, model, provider, streamOutput } = await request.json<{
+    system: string;
+    message: string;
+    model: string;
+    provider: ProviderInfo;
+    streamOutput?: boolean;
+  }>();
+
+  const { name: providerName } = provider;
+
+  // validate 'model' and 'provider' fields
+  if (!model || typeof model !== 'string') {
+    throw new Response('Invalid or missing model', {
+      status: 400,
+      statusText: 'Bad Request',
+    });
+  }
+
+  if (!providerName || typeof providerName !== 'string') {
+    throw new Response('Invalid or missing provider', {
+      status: 400,
+      statusText: 'Bad Request',
+    });
+  }
+
+  const cookieHeader = request.headers.get('Cookie');
+  const apiKeys = getApiKeysFromCookie(cookieHeader);
+  const providerSettings = getProviderSettingsFromCookie(cookieHeader);
+
+  if (streamOutput) {
+    try {
+      const result = await streamText({
+        options: {
+          system,
+        },
+        messages: [
+          {
+            role: 'user',
+            content: `${message}`,
+          },
+        ],
+        env: context.cloudflare?.env as any,
+        apiKeys,
+        providerSettings,
+      });
+
+      return new Response(result.textStream, {
+        status: 200,
+        headers: {
+          'Content-Type': 'text/plain; charset=utf-8',
+        },
+      });
+    } catch (error: unknown) {
+      console.log(error);
+
+      if (error instanceof Error && error.message?.includes('API key')) {
+        throw new Response('Invalid or missing API key', {
+          status: 401,
+          statusText: 'Unauthorized',
+        });
+      }
+
+      throw new Response(null, {
+        status: 500,
+        statusText: 'Internal Server Error',
+      });
+    }
+  } else {
+    try {
+      const models = await getModelList({ apiKeys, providerSettings, serverEnv: context.cloudflare?.env as any });
+      const modelDetails = models.find((m: ModelInfo) => m.name === model);
+
+      if (!modelDetails) {
+        throw new Error('Model not found');
+      }
+
+      const dynamicMaxTokens = modelDetails && modelDetails.maxTokenAllowed ? modelDetails.maxTokenAllowed : MAX_TOKENS;
+
+      const providerInfo = PROVIDER_LIST.find((p) => p.name === provider.name);
+
+      if (!providerInfo) {
+        throw new Error('Provider not found');
+      }
+
+      const result = await generateText({
+        system,
+        messages: [
+          {
+            role: 'user',
+            content: `${message}`,
+          },
+        ],
+        model: providerInfo.getModelInstance({
+          model: modelDetails.name,
+          serverEnv: context.cloudflare?.env as any,
+          apiKeys,
+          providerSettings,
+        }),
+        maxTokens: dynamicMaxTokens,
+        toolChoice: 'none',
+      });
+
+      return new Response(JSON.stringify(result), {
+        status: 200,
+        headers: {
+          'Content-Type': 'application/json',
+        },
+      });
+    } catch (error: unknown) {
+      console.log(error);
+
+      if (error instanceof Error && error.message?.includes('API key')) {
+        throw new Response('Invalid or missing API key', {
+          status: 401,
+          statusText: 'Unauthorized',
+        });
+      }
+
+      throw new Response(null, {
+        status: 500,
+        statusText: 'Internal Server Error',
+      });
+    }
+  }
+}

app/routes/api.models.$provider.ts

@@ -0,0 +1,2 @@
+import { loader } from './api.models';
+export { loader };

app/routes/api.models.ts

@@ -1,6 +1,84 @@
 import { json } from '@remix-run/cloudflare';
-import { MODEL_LIST } from '~/utils/constants';
+import { LLMManager } from '~/lib/modules/llm/manager';
+import type { ModelInfo } from '~/lib/modules/llm/types';
+import type { ProviderInfo } from '~/types/model';
+import { getApiKeysFromCookie, getProviderSettingsFromCookie } from '~/lib/api/cookies';
 
-export async function loader() {
+interface ModelsResponse {
-  return json(MODEL_LIST);
+  modelList: ModelInfo[];
+  providers: ProviderInfo[];
+  defaultProvider: ProviderInfo;
+}
+
+let cachedProviders: ProviderInfo[] | null = null;
+let cachedDefaultProvider: ProviderInfo | null = null;
+
+function getProviderInfo(llmManager: LLMManager) {
+  if (!cachedProviders) {
+    cachedProviders = llmManager.getAllProviders().map((provider) => ({
+      name: provider.name,
+      staticModels: provider.staticModels,
+      getApiKeyLink: provider.getApiKeyLink,
+      labelForGetApiKey: provider.labelForGetApiKey,
+      icon: provider.icon,
+    }));
+  }
+
+  if (!cachedDefaultProvider) {
+    const defaultProvider = llmManager.getDefaultProvider();
+    cachedDefaultProvider = {
+      name: defaultProvider.name,
+      staticModels: defaultProvider.staticModels,
+      getApiKeyLink: defaultProvider.getApiKeyLink,
+      labelForGetApiKey: defaultProvider.labelForGetApiKey,
+      icon: defaultProvider.icon,
+    };
+  }
+
+  return { providers: cachedProviders, defaultProvider: cachedDefaultProvider };
+}
+
+export async function loader({
+  request,
+  params,
+}: {
+  request: Request;
+  params: { provider?: string };
+}): Promise<Response> {
+  const llmManager = LLMManager.getInstance(import.meta.env);
+
+  // Get client side maintained API keys and provider settings from cookies
+  const cookieHeader = request.headers.get('Cookie');
+  const apiKeys = getApiKeysFromCookie(cookieHeader);
+  const providerSettings = getProviderSettingsFromCookie(cookieHeader);
+
+  const { providers, defaultProvider } = getProviderInfo(llmManager);
+
+  let modelList: ModelInfo[] = [];
+
+  if (params.provider) {
+    // Only update models for the specific provider
+    const provider = llmManager.getProvider(params.provider);
+
+    if (provider) {
+      const staticModels = provider.staticModels;
+      const dynamicModels = provider.getDynamicModels
+        ? await provider.getDynamicModels(apiKeys, providerSettings, import.meta.env)
+        : [];
+      modelList = [...staticModels, ...dynamicModels];
+    }
+  } else {
+    // Update all models
+    modelList = await llmManager.updateModelList({
+      apiKeys,
+      providerSettings,
+      serverEnv: import.meta.env,
+    });
+  }
+
+  return json<ModelsResponse>({
+    modelList,
+    providers,
+    defaultProvider,
+  });
 }

app/routes/webcontainer.preview.$id.tsx

@@ -0,0 +1,92 @@
+import { json, type LoaderFunctionArgs } from '@remix-run/cloudflare';
+import { useLoaderData } from '@remix-run/react';
+import { useCallback, useEffect, useRef, useState } from 'react';
+
+const PREVIEW_CHANNEL = 'preview-updates';
+
+export async function loader({ params }: LoaderFunctionArgs) {
+  const previewId = params.id;
+
+  if (!previewId) {
+    throw new Response('Preview ID is required', { status: 400 });
+  }
+
+  return json({ previewId });
+}
+
+export default function WebContainerPreview() {
+  const { previewId } = useLoaderData<typeof loader>();
+  const iframeRef = useRef<HTMLIFrameElement>(null);
+  const broadcastChannelRef = useRef<BroadcastChannel>();
+  const [previewUrl, setPreviewUrl] = useState('');
+
+  // Handle preview refresh
+  const handleRefresh = useCallback(() => {
+    if (iframeRef.current && previewUrl) {
+      // Force a clean reload
+      iframeRef.current.src = '';
+      requestAnimationFrame(() => {
+        if (iframeRef.current) {
+          iframeRef.current.src = previewUrl;
+        }
+      });
+    }
+  }, [previewUrl]);
+
+  // Notify other tabs that this preview is ready
+  const notifyPreviewReady = useCallback(() => {
+    if (broadcastChannelRef.current && previewUrl) {
+      broadcastChannelRef.current.postMessage({
+        type: 'preview-ready',
+        previewId,
+        url: previewUrl,
+        timestamp: Date.now(),
+      });
+    }
+  }, [previewId, previewUrl]);
+
+  useEffect(() => {
+    // Initialize broadcast channel
+    broadcastChannelRef.current = new BroadcastChannel(PREVIEW_CHANNEL);
+
+    // Listen for preview updates
+    broadcastChannelRef.current.onmessage = (event) => {
+      if (event.data.previewId === previewId) {
+        if (event.data.type === 'refresh-preview' || event.data.type === 'file-change') {
+          handleRefresh();
+        }
+      }
+    };
+
+    // Construct the WebContainer preview URL
+    const url = `https://${previewId}.local-credentialless.webcontainer-api.io`;
+    setPreviewUrl(url);
+
+    // Set the iframe src
+    if (iframeRef.current) {
+      iframeRef.current.src = url;
+    }
+
+    // Notify other tabs that this preview is ready
+    notifyPreviewReady();
+
+    // Cleanup
+    return () => {
+      broadcastChannelRef.current?.close();
+    };
+  }, [previewId, handleRefresh, notifyPreviewReady]);
+
+  return (
+    <div className="w-full h-full">
+      <iframe
+        ref={iframeRef}
+        title="WebContainer Preview"
+        className="w-full h-full border-none"
+        sandbox="allow-scripts allow-forms allow-popups allow-modals allow-storage-access-by-user-activation allow-same-origin"
+        allow="cross-origin-isolated"
+        loading="eager"
+        onLoad={notifyPreviewReady}
+      />
+    </div>
+  );
+}

app/styles/variables.scss

@@ -219,7 +219,7 @@
   --header-height: 54px;
   --chat-max-width: 37rem;
   --chat-min-width: 640px;
-  --workbench-width: min(calc(100% - var(--chat-min-width)), 1536px);
+  --workbench-width: min(calc(100% - var(--chat-min-width)), 2536px);
   --workbench-inner-width: var(--workbench-width);
   --workbench-left: calc(100% - var(--workbench-width));
 

app/types/actions.ts

@@ -20,3 +20,11 @@ export interface StartAction extends BaseAction {
 export type BoltAction = FileAction | ShellAction | StartAction;
 
 export type BoltActionData = BoltAction | BaseAction;
+
+export interface ActionAlert {
+  type: string;
+  title: string;
+  description: string;
+  content: string;
+  source?: 'terminal' | 'preview'; // Add source to differentiate between terminal and preview errors
+}

app/types/context.ts

@@ -0,0 +1,16 @@
+export type ContextAnnotation =
+  | {
+      type: 'codeContext';
+      files: string[];
+    }
+  | {
+      type: 'chatSummary';
+      summary: string;
+      chatId: string;
+    };
+
+export type ProgressAnnotation = {
+  type: 'progress';
+  value: number;
+  message: string;
+};

app/types/model.ts

@@ -1,9 +1,14 @@
-import type { ModelInfo } from '~/utils/types';
+import type { ModelInfo } from '~/lib/modules/llm/types';
 
 export type ProviderInfo = {
   staticModels: ModelInfo[];
   name: string;
-  getDynamicModels?: (apiKeys?: Record<string, string>, providerSettings?: IProviderSetting) => Promise<ModelInfo[]>;
+  getDynamicModels?: (
+    providerName: string,
+    apiKeys?: Record<string, string>,
+    providerSettings?: IProviderSetting,
+    serverEnv?: Record<string, string>,
+  ) => Promise<ModelInfo[]>;
   getApiKeyLink?: string;
   labelForGetApiKey?: string;
   icon?: string;

app/types/template.ts

@@ -0,0 +1,8 @@
+export interface Template {
+  name: string;
+  label: string;
+  description: string;
+  githubRepo: string;
+  tags?: string[];
+  icon?: string;
+}

app/utils/constants.ts

@@ -1,8 +1,5 @@
-import Cookies from 'js-cookie';
+import { LLMManager } from '~/lib/modules/llm/manager';
-import type { ModelInfo, OllamaApiResponse, OllamaModel } from './types';
+import type { Template } from '~/types/template';
-import type { ProviderInfo, IProviderSetting } from '~/types/model';
-import { createScopedLogger } from './logger';
-import { logStore } from '~/lib/stores/logs';
 
 export const WORK_DIR_NAME = 'project';
 export const WORK_DIR = `/home/${WORK_DIR_NAME}`;
@@ -12,533 +9,108 @@ export const PROVIDER_REGEX = /\[Provider: (.*?)\]\n\n/;
 export const DEFAULT_MODEL = 'claude-3-5-sonnet-latest';
 export const PROMPT_COOKIE_KEY = 'cachedPrompt';
 
-const logger = createScopedLogger('Constants');
+const llmManager = LLMManager.getInstance(import.meta.env);
 
-const PROVIDER_LIST: ProviderInfo[] = [
+export const PROVIDER_LIST = llmManager.getAllProviders();
-  {
+export const DEFAULT_PROVIDER = llmManager.getDefaultProvider();
-    name: 'Anthropic',
-    staticModels: [
-      {
-        name: 'claude-3-5-sonnet-latest',
-        label: 'Claude 3.5 Sonnet (new)',
-        provider: 'Anthropic',
-        maxTokenAllowed: 8000,
-      },
-      {
-        name: 'claude-3-5-sonnet-20240620',
-        label: 'Claude 3.5 Sonnet (old)',
-        provider: 'Anthropic',
-        maxTokenAllowed: 8000,
-      },
-      {
-        name: 'claude-3-5-haiku-latest',
-        label: 'Claude 3.5 Haiku (new)',
-        provider: 'Anthropic',
-        maxTokenAllowed: 8000,
-      },
-      { name: 'claude-3-opus-latest', label: 'Claude 3 Opus', provider: 'Anthropic', maxTokenAllowed: 8000 },
-      { name: 'claude-3-sonnet-20240229', label: 'Claude 3 Sonnet', provider: 'Anthropic', maxTokenAllowed: 8000 },
-      { name: 'claude-3-haiku-20240307', label: 'Claude 3 Haiku', provider: 'Anthropic', maxTokenAllowed: 8000 },
-    ],
-    getApiKeyLink: 'https://console.anthropic.com/settings/keys',
-  },
-  {
-    name: 'Ollama',
-    staticModels: [],
-    getDynamicModels: getOllamaModels,
-    getApiKeyLink: 'https://ollama.com/download',
-    labelForGetApiKey: 'Download Ollama',
-    icon: 'i-ph:cloud-arrow-down',
-  },
-  {
-    name: 'OpenAILike',
-    staticModels: [],
-    getDynamicModels: getOpenAILikeModels,
-  },
-  {
-    name: 'Cohere',
-    staticModels: [
-      { name: 'command-r-plus-08-2024', label: 'Command R plus Latest', provider: 'Cohere', maxTokenAllowed: 4096 },
-      { name: 'command-r-08-2024', label: 'Command R Latest', provider: 'Cohere', maxTokenAllowed: 4096 },
-      { name: 'command-r-plus', label: 'Command R plus', provider: 'Cohere', maxTokenAllowed: 4096 },
-      { name: 'command-r', label: 'Command R', provider: 'Cohere', maxTokenAllowed: 4096 },
-      { name: 'command', label: 'Command', provider: 'Cohere', maxTokenAllowed: 4096 },
-      { name: 'command-nightly', label: 'Command Nightly', provider: 'Cohere', maxTokenAllowed: 4096 },
-      { name: 'command-light', label: 'Command Light', provider: 'Cohere', maxTokenAllowed: 4096 },
-      { name: 'command-light-nightly', label: 'Command Light Nightly', provider: 'Cohere', maxTokenAllowed: 4096 },
-      { name: 'c4ai-aya-expanse-8b', label: 'c4AI Aya Expanse 8b', provider: 'Cohere', maxTokenAllowed: 4096 },
-      { name: 'c4ai-aya-expanse-32b', label: 'c4AI Aya Expanse 32b', provider: 'Cohere', maxTokenAllowed: 4096 },
-    ],
-    getApiKeyLink: 'https://dashboard.cohere.com/api-keys',
-  },
-  {
-    name: 'OpenRouter',
-    staticModels: [
-      { name: 'gpt-4o', label: 'GPT-4o', provider: 'OpenAI', maxTokenAllowed: 8000 },
-      {
-        name: 'anthropic/claude-3.5-sonnet',
-        label: 'Anthropic: Claude 3.5 Sonnet (OpenRouter)',
-        provider: 'OpenRouter',
-        maxTokenAllowed: 8000,
-      },
-      {
-        name: 'anthropic/claude-3-haiku',
-        label: 'Anthropic: Claude 3 Haiku (OpenRouter)',
-        provider: 'OpenRouter',
-        maxTokenAllowed: 8000,
-      },
-      {
-        name: 'deepseek/deepseek-coder',
-        label: 'Deepseek-Coder V2 236B (OpenRouter)',
-        provider: 'OpenRouter',
-        maxTokenAllowed: 8000,
-      },
-      {
-        name: 'google/gemini-flash-1.5',
-        label: 'Google Gemini Flash 1.5 (OpenRouter)',
-        provider: 'OpenRouter',
-        maxTokenAllowed: 8000,
-      },
-      {
-        name: 'google/gemini-pro-1.5',
-        label: 'Google Gemini Pro 1.5 (OpenRouter)',
-        provider: 'OpenRouter',
-        maxTokenAllowed: 8000,
-      },
-      { name: 'x-ai/grok-beta', label: 'xAI Grok Beta (OpenRouter)', provider: 'OpenRouter', maxTokenAllowed: 8000 },
-      {
-        name: 'mistralai/mistral-nemo',
-        label: 'OpenRouter Mistral Nemo (OpenRouter)',
-        provider: 'OpenRouter',
-        maxTokenAllowed: 8000,
-      },
-      {
-        name: 'qwen/qwen-110b-chat',
-        label: 'OpenRouter Qwen 110b Chat (OpenRouter)',
-        provider: 'OpenRouter',
-        maxTokenAllowed: 8000,
-      },
-      { name: 'cohere/command', label: 'Cohere Command (OpenRouter)', provider: 'OpenRouter', maxTokenAllowed: 4096 },
-    ],
-    getDynamicModels: getOpenRouterModels,
-    getApiKeyLink: 'https://openrouter.ai/settings/keys',
-  },
-  {
-    name: 'Google',
-    staticModels: [
-      { name: 'gemini-1.5-flash-latest', label: 'Gemini 1.5 Flash', provider: 'Google', maxTokenAllowed: 8192 },
-      { name: 'gemini-2.0-flash-exp', label: 'Gemini 2.0 Flash', provider: 'Google', maxTokenAllowed: 8192 },
-      { name: 'gemini-1.5-flash-002', label: 'Gemini 1.5 Flash-002', provider: 'Google', maxTokenAllowed: 8192 },
-      { name: 'gemini-1.5-flash-8b', label: 'Gemini 1.5 Flash-8b', provider: 'Google', maxTokenAllowed: 8192 },
-      { name: 'gemini-1.5-pro-latest', label: 'Gemini 1.5 Pro', provider: 'Google', maxTokenAllowed: 8192 },
-      { name: 'gemini-1.5-pro-002', label: 'Gemini 1.5 Pro-002', provider: 'Google', maxTokenAllowed: 8192 },
-      { name: 'gemini-exp-1206', label: 'Gemini exp-1206', provider: 'Google', maxTokenAllowed: 8192 },
-    ],
-    getApiKeyLink: 'https://aistudio.google.com/app/apikey',
-  },
-  {
-    name: 'Groq',
-    staticModels: [
-      { name: 'llama-3.1-8b-instant', label: 'Llama 3.1 8b (Groq)', provider: 'Groq', maxTokenAllowed: 8000 },
-      { name: 'llama-3.2-11b-vision-preview', label: 'Llama 3.2 11b (Groq)', provider: 'Groq', maxTokenAllowed: 8000 },
-      { name: 'llama-3.2-90b-vision-preview', label: 'Llama 3.2 90b (Groq)', provider: 'Groq', maxTokenAllowed: 8000 },
-      { name: 'llama-3.2-3b-preview', label: 'Llama 3.2 3b (Groq)', provider: 'Groq', maxTokenAllowed: 8000 },
-      { name: 'llama-3.2-1b-preview', label: 'Llama 3.2 1b (Groq)', provider: 'Groq', maxTokenAllowed: 8000 },
-      { name: 'llama-3.3-70b-versatile', label: 'Llama 3.3 70b (Groq)', provider: 'Groq', maxTokenAllowed: 8000 },
-    ],
-    getApiKeyLink: 'https://console.groq.com/keys',
-  },
-  {
-    name: 'HuggingFace',
-    staticModels: [
-      {
-        name: 'Qwen/Qwen2.5-Coder-32B-Instruct',
-        label: 'Qwen2.5-Coder-32B-Instruct (HuggingFace)',
-        provider: 'HuggingFace',
-        maxTokenAllowed: 8000,
-      },
-      {
-        name: '01-ai/Yi-1.5-34B-Chat',
-        label: 'Yi-1.5-34B-Chat (HuggingFace)',
-        provider: 'HuggingFace',
-        maxTokenAllowed: 8000,
-      },
-      {
-        name: 'codellama/CodeLlama-34b-Instruct-hf',
-        label: 'CodeLlama-34b-Instruct (HuggingFace)',
-        provider: 'HuggingFace',
-        maxTokenAllowed: 8000,
-      },
-      {
-        name: 'NousResearch/Hermes-3-Llama-3.1-8B',
-        label: 'Hermes-3-Llama-3.1-8B (HuggingFace)',
-        provider: 'HuggingFace',
-        maxTokenAllowed: 8000,
-      },
-      {
-        name: 'Qwen/Qwen2.5-Coder-32B-Instruct',
-        label: 'Qwen2.5-Coder-32B-Instruct (HuggingFace)',
-        provider: 'HuggingFace',
-        maxTokenAllowed: 8000,
-      },
-      {
-        name: 'Qwen/Qwen2.5-72B-Instruct',
-        label: 'Qwen2.5-72B-Instruct (HuggingFace)',
-        provider: 'HuggingFace',
-        maxTokenAllowed: 8000,
-      },
-      {
-        name: 'meta-llama/Llama-3.1-70B-Instruct',
-        label: 'Llama-3.1-70B-Instruct (HuggingFace)',
-        provider: 'HuggingFace',
-        maxTokenAllowed: 8000,
-      },
-      {
-        name: 'meta-llama/Llama-3.1-405B',
-        label: 'Llama-3.1-405B (HuggingFace)',
-        provider: 'HuggingFace',
-        maxTokenAllowed: 8000,
-      },
-      {
-        name: '01-ai/Yi-1.5-34B-Chat',
-        label: 'Yi-1.5-34B-Chat (HuggingFace)',
-        provider: 'HuggingFace',
-        maxTokenAllowed: 8000,
-      },
-      {
-        name: 'codellama/CodeLlama-34b-Instruct-hf',
-        label: 'CodeLlama-34b-Instruct (HuggingFace)',
-        provider: 'HuggingFace',
-        maxTokenAllowed: 8000,
-      },
-      {
-        name: 'NousResearch/Hermes-3-Llama-3.1-8B',
-        label: 'Hermes-3-Llama-3.1-8B (HuggingFace)',
-        provider: 'HuggingFace',
-        maxTokenAllowed: 8000,
-      },
-    ],
-    getApiKeyLink: 'https://huggingface.co/settings/tokens',
-  },
 
-  {
+export const providerBaseUrlEnvKeys: Record<string, { baseUrlKey?: string; apiTokenKey?: string }> = {};
-    name: 'OpenAI',
+PROVIDER_LIST.forEach((provider) => {
-    staticModels: [
+  providerBaseUrlEnvKeys[provider.name] = {
-      { name: 'gpt-4o-mini', label: 'GPT-4o Mini', provider: 'OpenAI', maxTokenAllowed: 8000 },
+    baseUrlKey: provider.config.baseUrlKey,
-      { name: 'gpt-4-turbo', label: 'GPT-4 Turbo', provider: 'OpenAI', maxTokenAllowed: 8000 },
+    apiTokenKey: provider.config.apiTokenKey,
-      { name: 'gpt-4', label: 'GPT-4', provider: 'OpenAI', maxTokenAllowed: 8000 },
+  };
-      { name: 'gpt-3.5-turbo', label: 'GPT-3.5 Turbo', provider: 'OpenAI', maxTokenAllowed: 8000 },
+});
-    ],
-    getApiKeyLink: 'https://platform.openai.com/api-keys',
-  },
-  {
-    name: 'xAI',
-    staticModels: [{ name: 'grok-beta', label: 'xAI Grok Beta', provider: 'xAI', maxTokenAllowed: 8000 }],
-    getApiKeyLink: 'https://docs.x.ai/docs/quickstart#creating-an-api-key',
-  },
-  {
-    name: 'Deepseek',
-    staticModels: [
-      { name: 'deepseek-coder', label: 'Deepseek-Coder', provider: 'Deepseek', maxTokenAllowed: 8000 },
-      { name: 'deepseek-chat', label: 'Deepseek-Chat', provider: 'Deepseek', maxTokenAllowed: 8000 },
-    ],
-    getApiKeyLink: 'https://platform.deepseek.com/apiKeys',
-  },
-  {
-    name: 'Mistral',
-    staticModels: [
-      { name: 'open-mistral-7b', label: 'Mistral 7B', provider: 'Mistral', maxTokenAllowed: 8000 },
-      { name: 'open-mixtral-8x7b', label: 'Mistral 8x7B', provider: 'Mistral', maxTokenAllowed: 8000 },
-      { name: 'open-mixtral-8x22b', label: 'Mistral 8x22B', provider: 'Mistral', maxTokenAllowed: 8000 },
-      { name: 'open-codestral-mamba', label: 'Codestral Mamba', provider: 'Mistral', maxTokenAllowed: 8000 },
-      { name: 'open-mistral-nemo', label: 'Mistral Nemo', provider: 'Mistral', maxTokenAllowed: 8000 },
-      { name: 'ministral-8b-latest', label: 'Mistral 8B', provider: 'Mistral', maxTokenAllowed: 8000 },
-      { name: 'mistral-small-latest', label: 'Mistral Small', provider: 'Mistral', maxTokenAllowed: 8000 },
-      { name: 'codestral-latest', label: 'Codestral', provider: 'Mistral', maxTokenAllowed: 8000 },
-      { name: 'mistral-large-latest', label: 'Mistral Large Latest', provider: 'Mistral', maxTokenAllowed: 8000 },
-    ],
-    getApiKeyLink: 'https://console.mistral.ai/api-keys/',
-  },
-  {
-    name: 'LMStudio',
-    staticModels: [],
-    getDynamicModels: getLMStudioModels,
-    getApiKeyLink: 'https://lmstudio.ai/',
-    labelForGetApiKey: 'Get LMStudio',
-    icon: 'i-ph:cloud-arrow-down',
-  },
-  {
-    name: 'Together',
-    getDynamicModels: getTogetherModels,
-    staticModels: [
-      {
-        name: 'Qwen/Qwen2.5-Coder-32B-Instruct',
-        label: 'Qwen/Qwen2.5-Coder-32B-Instruct',
-        provider: 'Together',
-        maxTokenAllowed: 8000,
-      },
-      {
-        name: 'meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo',
-        label: 'meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo',
-        provider: 'Together',
-        maxTokenAllowed: 8000,
-      },
 
+// starter Templates
+
+export const STARTER_TEMPLATES: Template[] = [
   {
-        name: 'mistralai/Mixtral-8x7B-Instruct-v0.1',
+    name: 'bolt-astro-basic',
-        label: 'Mixtral 8x7B Instruct',
+    label: 'Astro Basic',
-        provider: 'Together',
+    description: 'Lightweight Astro starter template for building fast static websites',
-        maxTokenAllowed: 8192,
+    githubRepo: 'thecodacus/bolt-astro-basic-template',
-      },
+    tags: ['astro', 'blog', 'performance'],
-    ],
+    icon: 'i-bolt:astro',
-    getApiKeyLink: 'https://api.together.xyz/settings/api-keys',
   },
   {
-    name: 'Perplexity',
+    name: 'bolt-nextjs-shadcn',
-    staticModels: [
+    label: 'Next.js with shadcn/ui',
-      {
+    description: 'Next.js starter fullstack template integrated with shadcn/ui components and styling system',
-        name: 'llama-3.1-sonar-small-128k-online',
+    githubRepo: 'thecodacus/bolt-nextjs-shadcn-template',
-        label: 'Sonar Small Online',
+    tags: ['nextjs', 'react', 'typescript', 'shadcn', 'tailwind'],
-        provider: 'Perplexity',
+    icon: 'i-bolt:nextjs',
-        maxTokenAllowed: 8192,
   },
   {
-        name: 'llama-3.1-sonar-large-128k-online',
+    name: 'bolt-qwik-ts',
-        label: 'Sonar Large Online',
+    label: 'Qwik TypeScript',
-        provider: 'Perplexity',
+    description: 'Qwik framework starter with TypeScript for building resumable applications',
-        maxTokenAllowed: 8192,
+    githubRepo: 'thecodacus/bolt-qwik-ts-template',
+    tags: ['qwik', 'typescript', 'performance', 'resumable'],
+    icon: 'i-bolt:qwik',
   },
   {
-        name: 'llama-3.1-sonar-huge-128k-online',
+    name: 'bolt-remix-ts',
-        label: 'Sonar Huge Online',
+    label: 'Remix TypeScript',
-        provider: 'Perplexity',
+    description: 'Remix framework starter with TypeScript for full-stack web applications',
-        maxTokenAllowed: 8192,
+    githubRepo: 'thecodacus/bolt-remix-ts-template',
+    tags: ['remix', 'typescript', 'fullstack', 'react'],
+    icon: 'i-bolt:remix',
   },
-    ],
+  {
-    getApiKeyLink: 'https://www.perplexity.ai/settings/api',
+    name: 'bolt-slidev',
+    label: 'Slidev Presentation',
+    description: 'Slidev starter template for creating developer-friendly presentations using Markdown',
+    githubRepo: 'thecodacus/bolt-slidev-template',
+    tags: ['slidev', 'presentation', 'markdown'],
+    icon: 'i-bolt:slidev',
+  },
+  {
+    name: 'bolt-sveltekit',
+    label: 'SvelteKit',
+    description: 'SvelteKit starter template for building fast, efficient web applications',
+    githubRepo: 'bolt-sveltekit-template',
+    tags: ['svelte', 'sveltekit', 'typescript'],
+    icon: 'i-bolt:svelte',
+  },
+  {
+    name: 'vanilla-vite',
+    label: 'Vanilla + Vite',
+    description: 'Minimal Vite starter template for vanilla JavaScript projects',
+    githubRepo: 'thecodacus/vanilla-vite-template',
+    tags: ['vite', 'vanilla-js', 'minimal'],
+    icon: 'i-bolt:vite',
+  },
+  {
+    name: 'bolt-vite-react',
+    label: 'React + Vite + typescript',
+    description: 'React starter template powered by Vite for fast development experience',
+    githubRepo: 'thecodacus/bolt-vite-react-ts-template',
+    tags: ['react', 'vite', 'frontend'],
+    icon: 'i-bolt:react',
+  },
+  {
+    name: 'bolt-vite-ts',
+    label: 'Vite + TypeScript',
+    description: 'Vite starter template with TypeScript configuration for type-safe development',
+    githubRepo: 'thecodacus/bolt-vite-ts-template',
+    tags: ['vite', 'typescript', 'minimal'],
+    icon: 'i-bolt:typescript',
+  },
+  {
+    name: 'bolt-vue',
+    label: 'Vue.js',
+    description: 'Vue.js starter template with modern tooling and best practices',
+    githubRepo: 'thecodacus/bolt-vue-template',
+    tags: ['vue', 'typescript', 'frontend'],
+    icon: 'i-bolt:vue',
+  },
+  {
+    name: 'bolt-angular',
+    label: 'Angular Starter',
+    description: 'A modern Angular starter template with TypeScript support and best practices configuration',
+    githubRepo: 'thecodacus/bolt-angular-template',
+    tags: ['angular', 'typescript', 'frontend', 'spa'],
+    icon: 'i-bolt:angular',
   },
 ];
-
-export const DEFAULT_PROVIDER = PROVIDER_LIST[0];
-
-const staticModels: ModelInfo[] = PROVIDER_LIST.map((p) => p.staticModels).flat();
-
-export let MODEL_LIST: ModelInfo[] = [...staticModels];
-
-export async function getModelList(
-  apiKeys: Record<string, string>,
-  providerSettings?: Record<string, IProviderSetting>,
-) {
-  MODEL_LIST = [
-    ...(
-      await Promise.all(
-        PROVIDER_LIST.filter(
-          (p): p is ProviderInfo & { getDynamicModels: () => Promise<ModelInfo[]> } => !!p.getDynamicModels,
-        ).map((p) => p.getDynamicModels(apiKeys, providerSettings?.[p.name])),
-      )
-    ).flat(),
-    ...staticModels,
-  ];
-  return MODEL_LIST;
-}
-
-async function getTogetherModels(apiKeys?: Record<string, string>, settings?: IProviderSetting): Promise<ModelInfo[]> {
-  try {
-    const baseUrl = settings?.baseUrl || import.meta.env.TOGETHER_API_BASE_URL || '';
-    const provider = 'Together';
-
-    if (!baseUrl) {
-      return [];
-    }
-
-    let apiKey = import.meta.env.OPENAI_LIKE_API_KEY ?? '';
-
-    if (apiKeys && apiKeys[provider]) {
-      apiKey = apiKeys[provider];
-    }
-
-    if (!apiKey) {
-      return [];
-    }
-
-    const response = await fetch(`${baseUrl}/models`, {
-      headers: {
-        Authorization: `Bearer ${apiKey}`,
-      },
-    });
-    const res = (await response.json()) as any;
-    const data: any[] = (res || []).filter((model: any) => model.type == 'chat');
-
-    return data.map((m: any) => ({
-      name: m.id,
-      label: `${m.display_name} - in:$${m.pricing.input.toFixed(
-        2,
-      )} out:$${m.pricing.output.toFixed(2)} - context ${Math.floor(m.context_length / 1000)}k`,
-      provider,
-      maxTokenAllowed: 8000,
-    }));
-  } catch (e) {
-    console.error('Error getting OpenAILike models:', e);
-    return [];
-  }
-}
-
-const getOllamaBaseUrl = (settings?: IProviderSetting) => {
-  const defaultBaseUrl = settings?.baseUrl || import.meta.env.OLLAMA_API_BASE_URL || 'http://localhost:11434';
-
-  // Check if we're in the browser
-  if (typeof window !== 'undefined') {
-    // Frontend always uses localhost
-    return defaultBaseUrl;
-  }
-
-  // Backend: Check if we're running in Docker
-  const isDocker = process.env.RUNNING_IN_DOCKER === 'true';
-
-  return isDocker ? defaultBaseUrl.replace('localhost', 'host.docker.internal') : defaultBaseUrl;
-};
-
-async function getOllamaModels(apiKeys?: Record<string, string>, settings?: IProviderSetting): Promise<ModelInfo[]> {
-  try {
-    const baseUrl = getOllamaBaseUrl(settings);
-    const response = await fetch(`${baseUrl}/api/tags`);
-    const data = (await response.json()) as OllamaApiResponse;
-
-    return data.models.map((model: OllamaModel) => ({
-      name: model.name,
-      label: `${model.name} (${model.details.parameter_size})`,
-      provider: 'Ollama',
-      maxTokenAllowed: 8000,
-    }));
-  } catch (e: any) {
-    logStore.logError('Failed to get Ollama models', e, { baseUrl: settings?.baseUrl });
-    logger.warn('Failed to get Ollama models: ', e.message || '');
-
-    return [];
-  }
-}
-
-async function getOpenAILikeModels(
-  apiKeys?: Record<string, string>,
-  settings?: IProviderSetting,
-): Promise<ModelInfo[]> {
-  try {
-    const baseUrl = settings?.baseUrl || import.meta.env.OPENAI_LIKE_API_BASE_URL || '';
-
-    if (!baseUrl) {
-      return [];
-    }
-
-    let apiKey = '';
-
-    if (apiKeys && apiKeys.OpenAILike) {
-      apiKey = apiKeys.OpenAILike;
-    }
-
-    const response = await fetch(`${baseUrl}/models`, {
-      headers: {
-        Authorization: `Bearer ${apiKey}`,
-      },
-    });
-    const res = (await response.json()) as any;
-
-    return res.data.map((model: any) => ({
-      name: model.id,
-      label: model.id,
-      provider: 'OpenAILike',
-    }));
-  } catch (e) {
-    console.error('Error getting OpenAILike models:', e);
-    return [];
-  }
-}
-
-type OpenRouterModelsResponse = {
-  data: {
-    name: string;
-    id: string;
-    context_length: number;
-    pricing: {
-      prompt: number;
-      completion: number;
-    };
-  }[];
-};
-
-async function getOpenRouterModels(): Promise<ModelInfo[]> {
-  const data: OpenRouterModelsResponse = await (
-    await fetch('https://openrouter.ai/api/v1/models', {
-      headers: {
-        'Content-Type': 'application/json',
-      },
-    })
-  ).json();
-
-  return data.data
-    .sort((a, b) => a.name.localeCompare(b.name))
-    .map((m) => ({
-      name: m.id,
-      label: `${m.name} - in:$${(m.pricing.prompt * 1_000_000).toFixed(
-        2,
-      )} out:$${(m.pricing.completion * 1_000_000).toFixed(2)} - context ${Math.floor(m.context_length / 1000)}k`,
-      provider: 'OpenRouter',
-      maxTokenAllowed: 8000,
-    }));
-}
-
-async function getLMStudioModels(_apiKeys?: Record<string, string>, settings?: IProviderSetting): Promise<ModelInfo[]> {
-  try {
-    const baseUrl = settings?.baseUrl || import.meta.env.LMSTUDIO_API_BASE_URL || 'http://localhost:1234';
-    const response = await fetch(`${baseUrl}/v1/models`);
-    const data = (await response.json()) as any;
-
-    return data.data.map((model: any) => ({
-      name: model.id,
-      label: model.id,
-      provider: 'LMStudio',
-    }));
-  } catch (e: any) {
-    logStore.logError('Failed to get LMStudio models', e, { baseUrl: settings?.baseUrl });
-    return [];
-  }
-}
-
-async function initializeModelList(providerSettings?: Record<string, IProviderSetting>): Promise<ModelInfo[]> {
-  let apiKeys: Record<string, string> = {};
-
-  try {
-    const storedApiKeys = Cookies.get('apiKeys');
-
-    if (storedApiKeys) {
-      const parsedKeys = JSON.parse(storedApiKeys);
-
-      if (typeof parsedKeys === 'object' && parsedKeys !== null) {
-        apiKeys = parsedKeys;
-      }
-    }
-  } catch (error: any) {
-    logStore.logError('Failed to fetch API keys from cookies', error);
-    logger.warn(`Failed to fetch apikeys from cookies: ${error?.message}`);
-  }
-  MODEL_LIST = [
-    ...(
-      await Promise.all(
-        PROVIDER_LIST.filter(
-          (p): p is ProviderInfo & { getDynamicModels: () => Promise<ModelInfo[]> } => !!p.getDynamicModels,
-        ).map((p) => p.getDynamicModels(apiKeys, providerSettings?.[p.name])),
-      )
-    ).flat(),
-    ...staticModels,
-  ];
-
-  return MODEL_LIST;
-}
-
-export {
-  getOllamaModels,
-  getOpenAILikeModels,
-  getLMStudioModels,
-  initializeModelList,
-  getOpenRouterModels,
-  PROVIDER_LIST,
-};

app/utils/logger.ts

@@ -1,4 +1,7 @@
 export type DebugLevel = 'trace' | 'debug' | 'info' | 'warn' | 'error';
+import { Chalk } from 'chalk';
+
+const chalk = new Chalk({ level: 3 });
 
 type LoggerFunction = (...messages: any[]) => void;
 
@@ -13,9 +16,6 @@ interface Logger {
 
 let currentLevel: DebugLevel = (import.meta.env.VITE_LOG_LEVEL ?? import.meta.env.DEV) ? 'debug' : 'info';
 
-const isWorker = 'HTMLRewriter' in globalThis;
-const supportsColor = !isWorker;
-
 export const logger: Logger = {
   trace: (...messages: any[]) => log('trace', undefined, messages),
   debug: (...messages: any[]) => log('debug', undefined, messages),
@@ -63,14 +63,8 @@ function log(level: DebugLevel, scope: string | undefined, messages: any[]) {
     return `${acc} ${current}`;
   }, '');
 
-  if (!supportsColor) {
-    console.log(`[${level.toUpperCase()}]`, allMessages);
-
-    return;
-  }
-
   const labelBackgroundColor = getColorForLevel(level);
-  const labelTextColor = level === 'warn' ? 'black' : 'white';
+  const labelTextColor = level === 'warn' ? '#000000' : '#FFFFFF';
 
   const labelStyles = getLabelStyles(labelBackgroundColor, labelTextColor);
   const scopeStyles = getLabelStyles('#77828D', 'white');
@@ -81,7 +75,21 @@ function log(level: DebugLevel, scope: string | undefined, messages: any[]) {
     styles.push('', scopeStyles);
   }
 
+  let labelText = formatText(` ${level.toUpperCase()} `, labelTextColor, labelBackgroundColor);
+
+  if (scope) {
+    labelText = `${labelText} ${formatText(` ${scope} `, '#FFFFFF', '77828D')}`;
+  }
+
+  if (typeof window !== 'undefined') {
     console.log(`%c${level.toUpperCase()}${scope ? `%c %c${scope}` : ''}`, ...styles, allMessages);
+  } else {
+    console.log(`${labelText}`, allMessages);
+  }
+}
+
+function formatText(text: string, color: string, bg: string) {
+  return chalk.bgHex(bg)(chalk.hex(color)(text));
 }
 
 function getLabelStyles(color: string, textColor: string) {
@@ -104,7 +112,7 @@ function getColorForLevel(level: DebugLevel): string {
       return '#EE4744';
     }
     default: {
-      return 'black';
+      return '#000000';
     }
   }
 }

app/utils/selectStarterTemplate.ts

@@ -0,0 +1,304 @@
+import ignore from 'ignore';
+import type { ProviderInfo } from '~/types/model';
+import type { Template } from '~/types/template';
+import { STARTER_TEMPLATES } from './constants';
+import Cookies from 'js-cookie';
+
+const starterTemplateSelectionPrompt = (templates: Template[]) => `
+You are an experienced developer who helps people choose the best starter template for their projects.
+
+Available templates:
+<template>
+  <name>blank</name>
+  <description>Empty starter for simple scripts and trivial tasks that don't require a full template setup</description>
+  <tags>basic, script</tags>
+</template>
+${templates
+  .map(
+    (template) => `
+<template>
+  <name>${template.name}</name>
+  <description>${template.description}</description>
+  ${template.tags ? `<tags>${template.tags.join(', ')}</tags>` : ''}
+</template>
+`,
+  )
+  .join('\n')}
+
+Response Format:
+<selection>
+  <templateName>{selected template name}</templateName>
+  <title>{a proper title for the project}</title>
+</selection>
+
+Examples:
+
+<example>
+User: I need to build a todo app
+Response:
+<selection>
+  <templateName>react-basic-starter</templateName>
+  <title>Simple React todo application</title>
+</selection>
+</example>
+
+<example>
+User: Write a script to generate numbers from 1 to 100
+Response:
+<selection>
+  <templateName>blank</templateName>
+  <title>script to generate numbers from 1 to 100</title>
+</selection>
+</example>
+
+Instructions:
+1. For trivial tasks and simple scripts, always recommend the blank template
+2. For more complex projects, recommend templates from the provided list
+3. Follow the exact XML format
+4. Consider both technical requirements and tags
+5. If no perfect match exists, recommend the closest option
+
+Important: Provide only the selection tags in your response, no additional text.
+`;
+
+const templates: Template[] = STARTER_TEMPLATES.filter((t) => !t.name.includes('shadcn'));
+
+const parseSelectedTemplate = (llmOutput: string): { template: string; title: string } | null => {
+  try {
+    // Extract content between <templateName> tags
+    const templateNameMatch = llmOutput.match(/<templateName>(.*?)<\/templateName>/);
+    const titleMatch = llmOutput.match(/<title>(.*?)<\/title>/);
+
+    if (!templateNameMatch) {
+      return null;
+    }
+
+    return { template: templateNameMatch[1].trim(), title: titleMatch?.[1].trim() || 'Untitled Project' };
+  } catch (error) {
+    console.error('Error parsing template selection:', error);
+    return null;
+  }
+};
+
+export const selectStarterTemplate = async (options: { message: string; model: string; provider: ProviderInfo }) => {
+  const { message, model, provider } = options;
+  const requestBody = {
+    message,
+    model,
+    provider,
+    system: starterTemplateSelectionPrompt(templates),
+  };
+  const response = await fetch('/api/llmcall', {
+    method: 'POST',
+    body: JSON.stringify(requestBody),
+  });
+  const respJson: { text: string } = await response.json();
+  console.log(respJson);
+
+  const { text } = respJson;
+  const selectedTemplate = parseSelectedTemplate(text);
+
+  if (selectedTemplate) {
+    return selectedTemplate;
+  } else {
+    console.log('No template selected, using blank template');
+
+    return {
+      template: 'blank',
+      title: '',
+    };
+  }
+};
+
+const getGitHubRepoContent = async (
+  repoName: string,
+  path: string = '',
+): Promise<{ name: string; path: string; content: string }[]> => {
+  const baseUrl = 'https://api.github.com';
+
+  try {
+    const token = Cookies.get('githubToken') || import.meta.env.VITE_GITHUB_ACCESS_TOKEN;
+
+    const headers: HeadersInit = {
+      Accept: 'application/vnd.github.v3+json',
+    };
+
+    // Add your GitHub token if needed
+    if (token) {
+      headers.Authorization = 'token ' + token;
+    }
+
+    // Fetch contents of the path
+    const response = await fetch(`${baseUrl}/repos/${repoName}/contents/${path}`, {
+      headers,
+    });
+
+    if (!response.ok) {
+      throw new Error(`HTTP error! status: ${response.status}`);
+    }
+
+    const data: any = await response.json();
+
+    // If it's a single file, return its content
+    if (!Array.isArray(data)) {
+      if (data.type === 'file') {
+        // If it's a file, get its content
+        const content = atob(data.content); // Decode base64 content
+        return [
+          {
+            name: data.name,
+            path: data.path,
+            content,
+          },
+        ];
+      }
+    }
+
+    // Process directory contents recursively
+    const contents = await Promise.all(
+      data.map(async (item: any) => {
+        if (item.type === 'dir') {
+          // Recursively get contents of subdirectories
+          return await getGitHubRepoContent(repoName, item.path);
+        } else if (item.type === 'file') {
+          // Fetch file content
+          const fileResponse = await fetch(item.url, {
+            headers,
+          });
+          const fileData: any = await fileResponse.json();
+          const content = atob(fileData.content); // Decode base64 content
+
+          return [
+            {
+              name: item.name,
+              path: item.path,
+              content,
+            },
+          ];
+        }
+
+        return [];
+      }),
+    );
+
+    // Flatten the array of contents
+    return contents.flat();
+  } catch (error) {
+    console.error('Error fetching repo contents:', error);
+    throw error;
+  }
+};
+
+export async function getTemplates(templateName: string, title?: string) {
+  const template = STARTER_TEMPLATES.find((t) => t.name == templateName);
+
+  if (!template) {
+    return null;
+  }
+
+  const githubRepo = template.githubRepo;
+  const files = await getGitHubRepoContent(githubRepo);
+
+  let filteredFiles = files;
+
+  /*
+   * ignoring common unwanted files
+   * exclude    .git
+   */
+  filteredFiles = filteredFiles.filter((x) => x.path.startsWith('.git') == false);
+
+  // exclude    lock files
+  const comminLockFiles = ['package-lock.json', 'yarn.lock', 'pnpm-lock.yaml'];
+  filteredFiles = filteredFiles.filter((x) => comminLockFiles.includes(x.name) == false);
+
+  // exclude    .bolt
+  filteredFiles = filteredFiles.filter((x) => x.path.startsWith('.bolt') == false);
+
+  // check for ignore file in .bolt folder
+  const templateIgnoreFile = files.find((x) => x.path.startsWith('.bolt') && x.name == 'ignore');
+
+  const filesToImport = {
+    files: filteredFiles,
+    ignoreFile: [] as typeof filteredFiles,
+  };
+
+  if (templateIgnoreFile) {
+    // redacting files specified in ignore file
+    const ignorepatterns = templateIgnoreFile.content.split('\n').map((x) => x.trim());
+    const ig = ignore().add(ignorepatterns);
+
+    // filteredFiles = filteredFiles.filter(x => !ig.ignores(x.path))
+    const ignoredFiles = filteredFiles.filter((x) => ig.ignores(x.path));
+
+    filesToImport.files = filteredFiles;
+    filesToImport.ignoreFile = ignoredFiles;
+  }
+
+  const assistantMessage = `
+<boltArtifact id="imported-files" title="${title || 'Importing Starter Files'}" type="bundled">
+${filesToImport.files
+  .map(
+    (file) =>
+      `<boltAction type="file" filePath="${file.path}">
+${file.content}
+</boltAction>`,
+  )
+  .join('\n')}
+</boltArtifact>
+`;
+  let userMessage = ``;
+  const templatePromptFile = files.filter((x) => x.path.startsWith('.bolt')).find((x) => x.name == 'prompt');
+
+  if (templatePromptFile) {
+    userMessage = `
+TEMPLATE INSTRUCTIONS:
+${templatePromptFile.content}
+
+IMPORTANT: Dont Forget to install the dependencies before running the app
+---
+`;
+  }
+
+  if (filesToImport.ignoreFile.length > 0) {
+    userMessage =
+      userMessage +
+      `
+STRICT FILE ACCESS RULES - READ CAREFULLY:
+
+The following files are READ-ONLY and must never be modified:
+${filesToImport.ignoreFile.map((file) => `- ${file.path}`).join('\n')}
+
+Permitted actions:
+✓ Import these files as dependencies
+✓ Read from these files
+✓ Reference these files
+
+Strictly forbidden actions:
+❌ Modify any content within these files
+❌ Delete these files
+❌ Rename these files
+❌ Move these files
+❌ Create new versions of these files
+❌ Suggest changes to these files
+
+Any attempt to modify these protected files will result in immediate termination of the operation.
+
+If you need to make changes to functionality, create new files instead of modifying the protected ones listed above.
+---
+`;
+  }
+
+  userMessage += `
+---
+template import is done, and you can now use the imported files,
+edit only the files that need to be changed, and you can create new files as needed.
+NO NOT EDIT/WRITE ANY FILES THAT ALREADY EXIST IN THE PROJECT AND DOES NOT NEED TO BE MODIFIED
+---
+Now that the Template is imported please continue with my original request
+`;
+
+  return {
+    assistantMessage,
+    userMessage,
+  };
+}

app/utils/shell.ts

@@ -60,7 +60,9 @@ export class BoltShell {
   #webcontainer: WebContainer | undefined;
   #terminal: ITerminal | undefined;
   #process: WebContainerProcess | undefined;
-  executionState = atom<{ sessionId: string; active: boolean; executionPrms?: Promise<any> } | undefined>();
+  executionState = atom<
+    { sessionId: string; active: boolean; executionPrms?: Promise<any>; abort?: () => void } | undefined
+  >();
   #outputStream: ReadableStreamDefaultReader<string> | undefined;
   #shellInputStream: WritableStreamDefaultWriter<string> | undefined;
 
@@ -93,18 +95,23 @@ export class BoltShell {
     return this.#process;
   }
 
-  async executeCommand(sessionId: string, command: string): Promise<ExecutionResult> {
+  async executeCommand(sessionId: string, command: string, abort?: () => void): Promise<ExecutionResult> {
     if (!this.process || !this.terminal) {
       return undefined;
     }
 
     const state = this.executionState.get();
 
+    if (state?.active && state.abort) {
+      state.abort();
+    }
+
     /*
      * interrupt the current execution
      *  this.#shellInputStream?.write('\x03');
      */
     this.terminal.input('\x03');
+    await this.waitTillOscCode('prompt');
 
     if (state && state.executionPrms) {
       await state.executionPrms;
@@ -115,11 +122,19 @@ export class BoltShell {
 
     //wait for the execution to finish
     const executionPromise = this.getCurrentExecutionResult();
-    this.executionState.set({ sessionId, active: true, executionPrms: executionPromise });
+    this.executionState.set({ sessionId, active: true, executionPrms: executionPromise, abort });
 
     const resp = await executionPromise;
     this.executionState.set({ sessionId, active: false });
 
+    if (resp) {
+      try {
+        resp.output = cleanTerminalOutput(resp.output);
+      } catch (error) {
+        console.log('failed to format terminal output', error);
+      }
+    }
+
     return resp;
   }
 
@@ -215,6 +230,65 @@ export class BoltShell {
   }
 }
 
+/**
+ * Cleans and formats terminal output while preserving structure and paths
+ * Handles ANSI, OSC, and various terminal control sequences
+ */
+export function cleanTerminalOutput(input: string): string {
+  // Step 1: Remove OSC sequences (including those with parameters)
+  const removeOsc = input
+    .replace(/\x1b\](\d+;[^\x07\x1b]*|\d+[^\x07\x1b]*)\x07/g, '')
+    .replace(/\](\d+;[^\n]*|\d+[^\n]*)/g, '');
+
+  // Step 2: Remove ANSI escape sequences and color codes more thoroughly
+  const removeAnsi = removeOsc
+    // Remove all escape sequences with parameters
+    .replace(/\u001b\[[\?]?[0-9;]*[a-zA-Z]/g, '')
+    .replace(/\x1b\[[\?]?[0-9;]*[a-zA-Z]/g, '')
+    // Remove color codes
+    .replace(/\u001b\[[0-9;]*m/g, '')
+    .replace(/\x1b\[[0-9;]*m/g, '')
+    // Clean up any remaining escape characters
+    .replace(/\u001b/g, '')
+    .replace(/\x1b/g, '');
+
+  // Step 3: Clean up carriage returns and newlines
+  const cleanNewlines = removeAnsi
+    .replace(/\r\n/g, '\n')
+    .replace(/\r/g, '\n')
+    .replace(/\n{3,}/g, '\n\n');
+
+  // Step 4: Add newlines at key breakpoints while preserving paths
+  const formatOutput = cleanNewlines
+    // Preserve prompt line
+    .replace(/^([~\/][^\n❯]+)❯/m, '$1\n❯')
+    // Add newline before command output indicators
+    .replace(/(?<!^|\n)>/g, '\n>')
+    // Add newline before error keywords without breaking paths
+    .replace(/(?<!^|\n|\w)(error|failed|warning|Error|Failed|Warning):/g, '\n$1:')
+    // Add newline before 'at' in stack traces without breaking paths
+    .replace(/(?<!^|\n|\/)(at\s+(?!async|sync))/g, '\nat ')
+    // Ensure 'at async' stays on same line
+    .replace(/\bat\s+async/g, 'at async')
+    // Add newline before npm error indicators
+    .replace(/(?<!^|\n)(npm ERR!)/g, '\n$1');
+
+  // Step 5: Clean up whitespace while preserving intentional spacing
+  const cleanSpaces = formatOutput
+    .split('\n')
+    .map((line) => line.trim())
+    .filter((line) => line.length > 0)
+    .join('\n');
+
+  // Step 6: Final cleanup
+  return cleanSpaces
+    .replace(/\n{3,}/g, '\n\n') // Replace multiple newlines with double newlines
+    .replace(/:\s+/g, ': ') // Normalize spacing after colons
+    .replace(/\s{2,}/g, ' ') // Remove multiple spaces
+    .replace(/^\s+|\s+$/g, '') // Trim start and end
+    .replace(/\u0000/g, ''); // Remove null characters
+}
+
 export function newBoltShellProcess() {
   return new BoltShell();
 }

app/utils/stacktrace.ts

@@ -0,0 +1,27 @@
+/**
+ * Cleans webcontainer URLs from stack traces to show relative paths instead
+ */
+export function cleanStackTrace(stackTrace: string): string {
+  // Function to clean a single URL
+  const cleanUrl = (url: string): string => {
+    const regex = /^https?:\/\/[^\/]+\.webcontainer-api\.io(\/.*)?$/;
+
+    if (!regex.test(url)) {
+      return url;
+    }
+
+    const pathRegex = /^https?:\/\/[^\/]+\.webcontainer-api\.io\/(.*?)$/;
+    const match = url.match(pathRegex);
+
+    return match?.[1] || '';
+  };
+
+  // Split the stack trace into lines and process each line
+  return stackTrace
+    .split('\n')
+    .map((line) => {
+      // Match any URL in the line that contains webcontainer-api.io
+      return line.replace(/(https?:\/\/[^\/]+\.webcontainer-api\.io\/[^\s\)]+)/g, (match) => cleanUrl(match));
+    })
+    .join('\n');
+}

app/utils/types.ts

@@ -19,10 +19,3 @@ export interface OllamaModel {
 export interface OllamaApiResponse {
   models: OllamaModel[];
 }
-
-export interface ModelInfo {
-  name: string;
-  label: string;
-  provider: string;
-  maxTokenAllowed: number;
-}