docs(blocks): Add improved block documentation for new platform location

Add block documentation files that were generated with improved descriptions
from Bobby's GitBook site. These docs include technical explanations and
use cases for blocks including Twitter, Google, GitHub, Wolfram, ZeroBounce,
and many other integrations.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

.branchlet.json

@@ -0,0 +1,37 @@
+{
+  "worktreeCopyPatterns": [
+    ".env*",
+    ".vscode/**",
+    ".auth/**",
+    ".claude/**",
+    "autogpt_platform/.env*",
+    "autogpt_platform/backend/.env*",
+    "autogpt_platform/frontend/.env*",
+    "autogpt_platform/frontend/.auth/**",
+    "autogpt_platform/db/docker/.env*"
+  ],
+  "worktreeCopyIgnores": [
+    "**/node_modules/**",
+    "**/dist/**",
+    "**/.git/**",
+    "**/Thumbs.db",
+    "**/.DS_Store",
+    "**/.next/**",
+    "**/__pycache__/**",
+    "**/.ruff_cache/**",
+    "**/.pytest_cache/**",
+    "**/*.pyc",
+    "**/playwright-report/**",
+    "**/logs/**",
+    "**/site/**"
+  ],
+  "worktreePathTemplate": "$BASE_PATH.worktree",
+  "postCreateCmd": [
+    "cd autogpt_platform/autogpt_libs && poetry install",
+    "cd autogpt_platform/backend && poetry install && poetry run prisma generate",
+    "cd autogpt_platform/frontend && pnpm install",
+    "cd docs && pip install -r requirements.txt"
+  ],
+  "terminalCommand": "code .",
+  "deleteBranchWithWorktree": false
+}

.dockerignore

@@ -16,6 +16,7 @@
 !autogpt_platform/backend/poetry.lock
 !autogpt_platform/backend/README.md
 !autogpt_platform/backend/.env
+!autogpt_platform/backend/gen_prisma_types_stub.py
 
 # Platform - Market
 !autogpt_platform/market/market/

.github/workflows/claude-dependabot.yml

@@ -74,7 +74,7 @@ jobs:
 
       - name: Generate Prisma Client
         working-directory: autogpt_platform/backend
-        run: poetry run prisma generate
+        run: poetry run prisma generate && poetry run gen-prisma-stub
 
       # Frontend Node.js/pnpm setup (mirrors platform-frontend-ci.yml)
       - name: Set up Node.js

.github/workflows/claude.yml

@@ -90,7 +90,7 @@ jobs:
 
       - name: Generate Prisma Client
         working-directory: autogpt_platform/backend
-        run: poetry run prisma generate
+        run: poetry run prisma generate && poetry run gen-prisma-stub
 
       # Frontend Node.js/pnpm setup (mirrors platform-frontend-ci.yml)
       - name: Set up Node.js

.github/workflows/copilot-setup-steps.yml

@@ -72,7 +72,7 @@ jobs:
 
       - name: Generate Prisma Client
         working-directory: autogpt_platform/backend
-        run: poetry run prisma generate
+        run: poetry run prisma generate && poetry run gen-prisma-stub
 
       # Frontend Node.js/pnpm setup (mirrors platform-frontend-ci.yml)
       - name: Set up Node.js
@@ -108,6 +108,16 @@ jobs:
       #   run: pnpm playwright install --with-deps chromium
 
       # Docker setup for development environment
+      - name: Free up disk space
+        run: |
+          # Remove large unused tools to free disk space for Docker builds
+          sudo rm -rf /usr/share/dotnet
+          sudo rm -rf /usr/local/lib/android
+          sudo rm -rf /opt/ghc
+          sudo rm -rf /opt/hostedtoolcache/CodeQL
+          sudo docker system prune -af
+          df -h
+
       - name: Set up Docker Buildx
         uses: docker/setup-buildx-action@v3
 

.github/workflows/docs-block-sync.yml

@@ -0,0 +1,74 @@
+name: Block Documentation Sync Check
+
+on:
+  push:
+    branches: [master, dev]
+    paths:
+      - "autogpt_platform/backend/backend/blocks/**"
+      - "docs/content/platform/blocks/**"
+      - "autogpt_platform/backend/scripts/generate_block_docs.py"
+      - ".github/workflows/docs-block-sync.yml"
+  pull_request:
+    branches: [master, dev]
+    paths:
+      - "autogpt_platform/backend/backend/blocks/**"
+      - "docs/content/platform/blocks/**"
+      - "autogpt_platform/backend/scripts/generate_block_docs.py"
+      - ".github/workflows/docs-block-sync.yml"
+
+jobs:
+  check-docs-sync:
+    runs-on: ubuntu-latest
+    timeout-minutes: 15
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 1
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: "3.11"
+
+      - name: Set up Python dependency cache
+        uses: actions/cache@v4
+        with:
+          path: ~/.cache/pypoetry
+          key: poetry-${{ runner.os }}-${{ hashFiles('autogpt_platform/backend/poetry.lock') }}
+          restore-keys: |
+            poetry-${{ runner.os }}-
+
+      - name: Install Poetry
+        run: |
+          cd autogpt_platform/backend
+          HEAD_POETRY_VERSION=$(python3 ../../.github/workflows/scripts/get_package_version_from_lockfile.py poetry)
+          echo "Found Poetry version ${HEAD_POETRY_VERSION} in backend/poetry.lock"
+          curl -sSL https://install.python-poetry.org | POETRY_VERSION=$HEAD_POETRY_VERSION python3 -
+          echo "$HOME/.local/bin" >> $GITHUB_PATH
+
+      - name: Install dependencies
+        working-directory: autogpt_platform/backend
+        run: |
+          poetry install --only main
+          poetry run prisma generate
+
+      - name: Check block documentation is in sync
+        working-directory: autogpt_platform/backend
+        run: |
+          echo "Checking if block documentation is in sync with code..."
+          poetry run python scripts/generate_block_docs.py --check
+
+      - name: Show diff if out of sync
+        if: failure()
+        run: |
+          echo "::error::Block documentation is out of sync with code!"
+          echo ""
+          echo "To fix this, run the following command locally:"
+          echo "  cd autogpt_platform/backend && poetry run python scripts/generate_block_docs.py"
+          echo ""
+          echo "Then commit the updated documentation files."
+          echo ""
+          echo "Changes detected:"
+          git diff docs/content/platform/blocks/ || true

.github/workflows/docs-claude-review.yml

@@ -0,0 +1,94 @@
+name: Claude Block Docs Review
+
+on:
+  pull_request:
+    types: [opened, synchronize]
+    paths:
+      - "docs/content/platform/blocks/**"
+      - "autogpt_platform/backend/backend/blocks/**"
+
+jobs:
+  claude-review:
+    # Only run for PRs from members/collaborators
+    if: |
+      github.event.pull_request.author_association == 'OWNER' ||
+      github.event.pull_request.author_association == 'MEMBER' ||
+      github.event.pull_request.author_association == 'COLLABORATOR'
+    runs-on: ubuntu-latest
+    timeout-minutes: 15
+    permissions:
+      contents: read
+      pull-requests: write
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: "3.11"
+
+      - name: Set up Python dependency cache
+        uses: actions/cache@v4
+        with:
+          path: ~/.cache/pypoetry
+          key: poetry-${{ runner.os }}-${{ hashFiles('autogpt_platform/backend/poetry.lock') }}
+          restore-keys: |
+            poetry-${{ runner.os }}-
+
+      - name: Install Poetry
+        run: |
+          cd autogpt_platform/backend
+          HEAD_POETRY_VERSION=$(python3 ../../.github/workflows/scripts/get_package_version_from_lockfile.py poetry)
+          curl -sSL https://install.python-poetry.org | POETRY_VERSION=$HEAD_POETRY_VERSION python3 -
+          echo "$HOME/.local/bin" >> $GITHUB_PATH
+
+      - name: Install dependencies
+        working-directory: autogpt_platform/backend
+        run: |
+          poetry install --only main
+          poetry run prisma generate
+
+      - name: Run Claude Code Review
+        uses: anthropics/claude-code-action@v1
+        with:
+          anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }}
+          claude_args: |
+            --allowedTools "Read,Glob,Grep,Bash(gh pr comment:*),Bash(gh pr diff:*),Bash(gh pr view:*)"
+          prompt: |
+            You are reviewing a PR that modifies block documentation or block code for AutoGPT.
+
+            ## Your Task
+            Review the changes in this PR and provide constructive feedback. Focus on:
+
+            1. **Documentation Accuracy**: For any block code changes, verify that:
+               - Input/output tables in docs match the actual block schemas
+               - Description text accurately reflects what the block does
+               - Any new blocks have corresponding documentation
+
+            2. **Manual Content Quality**: Check manual sections (marked with `<!-- MANUAL: -->` markers):
+               - "How it works" sections should have clear technical explanations
+               - "Possible use case" sections should have practical, real-world examples
+               - Content should be helpful for users trying to understand the blocks
+
+            3. **Template Compliance**: Ensure docs follow the standard template:
+               - What it is (brief intro)
+               - What it does (description)
+               - How it works (technical explanation)
+               - Inputs table
+               - Outputs table
+               - Possible use case
+
+            4. **Cross-references**: Check that links and anchors are correct
+
+            ## Review Process
+            1. First, get the PR diff to see what changed: `gh pr diff ${{ github.event.pull_request.number }}`
+            2. Read any modified block files to understand the implementation
+            3. Read corresponding documentation files to verify accuracy
+            4. Provide your feedback as a PR comment
+
+            Be constructive and specific. If everything looks good, say so!
+            If there are issues, explain what's wrong and suggest how to fix it.

.github/workflows/docs-enhance.yml

@@ -0,0 +1,193 @@
+name: Enhance Block Documentation
+
+on:
+  workflow_dispatch:
+    inputs:
+      block_pattern:
+        description: 'Block file pattern to enhance (e.g., "google/*.md" or "*" for all blocks)'
+        required: true
+        default: '*'
+        type: string
+      dry_run:
+        description: 'Dry run mode - show proposed changes without committing'
+        type: boolean
+        default: true
+      max_blocks:
+        description: 'Maximum number of blocks to process (0 for unlimited)'
+        type: number
+        default: 10
+
+jobs:
+  enhance-docs:
+    runs-on: ubuntu-latest
+    timeout-minutes: 45
+    permissions:
+      contents: write
+      pull-requests: write
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 1
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: "3.11"
+
+      - name: Set up Python dependency cache
+        uses: actions/cache@v4
+        with:
+          path: ~/.cache/pypoetry
+          key: poetry-${{ runner.os }}-${{ hashFiles('autogpt_platform/backend/poetry.lock') }}
+          restore-keys: |
+            poetry-${{ runner.os }}-
+
+      - name: Install Poetry
+        run: |
+          cd autogpt_platform/backend
+          HEAD_POETRY_VERSION=$(python3 ../../.github/workflows/scripts/get_package_version_from_lockfile.py poetry)
+          curl -sSL https://install.python-poetry.org | POETRY_VERSION=$HEAD_POETRY_VERSION python3 -
+          echo "$HOME/.local/bin" >> $GITHUB_PATH
+
+      - name: Install dependencies
+        working-directory: autogpt_platform/backend
+        run: |
+          poetry install --only main
+          poetry run prisma generate
+
+      - name: Run Claude Enhancement
+        uses: anthropics/claude-code-action@v1
+        with:
+          anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }}
+          claude_args: |
+            --allowedTools "Read,Edit,Glob,Grep,Write,Bash(git:*),Bash(gh:*),Bash(find:*),Bash(ls:*)"
+          prompt: |
+            You are enhancing block documentation for AutoGPT. Your task is to improve the MANUAL sections
+            of block documentation files by reading the actual block implementations and writing helpful content.
+
+            ## Configuration
+            - Block pattern: ${{ inputs.block_pattern }}
+            - Dry run: ${{ inputs.dry_run }}
+            - Max blocks to process: ${{ inputs.max_blocks }}
+
+            ## Your Task
+
+            1. **Find Documentation Files**
+               Find block documentation files matching the pattern in `docs/content/platform/blocks/`
+               Pattern: ${{ inputs.block_pattern }}
+
+               Use: `find docs/content/platform/blocks -name "*.md" -type f`
+
+            2. **For Each Documentation File** (up to ${{ inputs.max_blocks }} files):
+
+               a. Read the documentation file
+
+               b. Identify which block(s) it documents (look for the block class name)
+
+               c. Find and read the corresponding block implementation in `autogpt_platform/backend/backend/blocks/`
+
+               d. Improve the MANUAL sections:
+
+                  **"How it works" section** (within `<!-- MANUAL: how_it_works -->` markers):
+                  - Explain the technical flow of the block
+                  - Describe what APIs or services it connects to
+                  - Note any important configuration or prerequisites
+                  - Keep it concise but informative (2-4 paragraphs)
+
+                  **"Possible use case" section** (within `<!-- MANUAL: use_case -->` markers):
+                  - Provide 2-3 practical, real-world examples
+                  - Make them specific and actionable
+                  - Show how this block could be used in an automation workflow
+
+            3. **Important Rules**
+               - ONLY modify content within `<!-- MANUAL: -->` and `<!-- END MANUAL -->` markers
+               - Do NOT modify auto-generated sections (inputs/outputs tables, descriptions)
+               - Keep content accurate based on the actual block implementation
+               - Write for users who may not be technical experts
+
+            4. **Output**
+               ${{ inputs.dry_run == true && 'DRY RUN MODE: Show proposed changes for each file but do NOT actually edit the files. Describe what you would change.' || 'LIVE MODE: Actually edit the files to improve the documentation.' }}
+
+            ## Example Improvements
+
+            **Before (How it works):**
+            ```
+            _Add technical explanation here._
+            ```
+
+            **After (How it works):**
+            ```
+            This block connects to the GitHub API to retrieve issue information. When executed,
+            it authenticates using your GitHub credentials and fetches issue details including
+            title, body, labels, and assignees.
+
+            The block requires a valid GitHub OAuth connection with repository access permissions.
+            It supports both public and private repositories you have access to.
+            ```
+
+            **Before (Possible use case):**
+            ```
+            _Add practical use case examples here._
+            ```
+
+            **After (Possible use case):**
+            ```
+            **Customer Support Automation**: Monitor a GitHub repository for new issues with
+            the "bug" label, then automatically create a ticket in your support system and
+            notify the on-call engineer via Slack.
+
+            **Release Notes Generation**: When a new release is published, gather all closed
+            issues since the last release and generate a summary for your changelog.
+            ```
+
+            Begin by finding and listing the documentation files to process.
+
+      - name: Create PR with enhanced documentation
+        if: ${{ inputs.dry_run == false }}
+        env:
+          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+        run: |
+          # Check if there are changes
+          if git diff --quiet docs/content/platform/blocks/; then
+            echo "No changes to commit"
+            exit 0
+          fi
+
+          # Configure git
+          git config user.name "github-actions[bot]"
+          git config user.email "github-actions[bot]@users.noreply.github.com"
+
+          # Create branch and commit
+          BRANCH_NAME="docs/enhance-blocks-$(date +%Y%m%d-%H%M%S)"
+          git checkout -b "$BRANCH_NAME"
+          git add docs/content/platform/blocks/
+          git commit -m "docs: enhance block documentation with LLM-generated content
+
+          Pattern: ${{ inputs.block_pattern }}
+          Max blocks: ${{ inputs.max_blocks }}
+
+          🤖 Generated with [Claude Code](https://claude.com/claude-code)
+
+          Co-Authored-By: Claude <noreply@anthropic.com>"
+
+          # Push and create PR
+          git push -u origin "$BRANCH_NAME"
+          gh pr create \
+            --title "docs: LLM-enhanced block documentation" \
+            --body "## Summary
+          This PR contains LLM-enhanced documentation for block files matching pattern: \`${{ inputs.block_pattern }}\`
+
+          The following manual sections were improved:
+          - **How it works**: Technical explanations based on block implementations
+          - **Possible use case**: Practical, real-world examples
+
+          ## Review Checklist
+          - [ ] Content is accurate based on block implementations
+          - [ ] Examples are practical and helpful
+          - [ ] No auto-generated sections were modified
+
+          ---
+          🤖 Generated with [Claude Code](https://claude.com/claude-code)" \
+            --base dev

.github/workflows/platform-backend-ci.yml

@@ -134,7 +134,7 @@ jobs:
         run: poetry install
 
       - name: Generate Prisma Client
-        run: poetry run prisma generate
+        run: poetry run prisma generate && poetry run gen-prisma-stub
 
       - id: supabase
         name: Start Supabase

autogpt_platform/Makefile

@@ -12,6 +12,7 @@ reset-db:
 	rm -rf db/docker/volumes/db/data
 	cd backend && poetry run prisma migrate deploy
 	cd backend && poetry run prisma generate
+	cd backend && poetry run gen-prisma-stub
 	
 # View logs for core services
 logs-core:
@@ -33,6 +34,7 @@ init-env:
 migrate:
 	cd backend && poetry run prisma migrate deploy
 	cd backend && poetry run prisma generate
+	cd backend && poetry run gen-prisma-stub
 
 run-backend:
 	cd backend && poetry run app

autogpt_platform/backend/Dockerfile

@@ -48,7 +48,8 @@ RUN poetry install --no-ansi --no-root
 # Generate Prisma client
 COPY autogpt_platform/backend/schema.prisma ./
 COPY autogpt_platform/backend/backend/data/partial_types.py ./backend/data/partial_types.py
-RUN poetry run prisma generate
+COPY autogpt_platform/backend/gen_prisma_types_stub.py ./
+RUN poetry run prisma generate && poetry run gen-prisma-stub
 
 FROM debian:13-slim AS server_dependencies
 

autogpt_platform/backend/backend/api/features/library/db.py

@@ -489,7 +489,7 @@ async def update_agent_version_in_library(
     agent_graph_version: int,
 ) -> library_model.LibraryAgent:
     """
-    Updates the agent version in the library if useGraphIsActiveVersion is True.
+    Updates the agent version in the library for any agent owned by the user.
 
     Args:
         user_id: Owner of the LibraryAgent.
@@ -498,20 +498,31 @@ async def update_agent_version_in_library(
 
     Raises:
         DatabaseError: If there's an error with the update.
+        NotFoundError: If no library agent is found for this user and agent.
     """
     logger.debug(
         f"Updating agent version in library for user #{user_id}, "
         f"agent #{agent_graph_id} v{agent_graph_version}"
     )
-    try:
-        library_agent = await prisma.models.LibraryAgent.prisma().find_first_or_raise(
+    async with transaction() as tx:
+        library_agent = await prisma.models.LibraryAgent.prisma(tx).find_first_or_raise(
             where={
                 "userId": user_id,
                 "agentGraphId": agent_graph_id,
-                "useGraphIsActiveVersion": True,
             },
         )
-        lib = await prisma.models.LibraryAgent.prisma().update(
+
+        # Delete any conflicting LibraryAgent for the target version
+        await prisma.models.LibraryAgent.prisma(tx).delete_many(
+            where={
+                "userId": user_id,
+                "agentGraphId": agent_graph_id,
+                "agentGraphVersion": agent_graph_version,
+                "id": {"not": library_agent.id},
+            }
+        )
+
+        lib = await prisma.models.LibraryAgent.prisma(tx).update(
             where={"id": library_agent.id},
             data={
                 "AgentGraph": {
@@ -525,13 +536,13 @@ async def update_agent_version_in_library(
             },
             include={"AgentGraph": True},
         )
-        if lib is None:
-            raise NotFoundError(f"Library agent {library_agent.id} not found")
 
-        return library_model.LibraryAgent.from_db(lib)
-    except prisma.errors.PrismaError as e:
-        logger.error(f"Database error updating agent version in library: {e}")
-        raise DatabaseError("Failed to update agent version in library") from e
+    if lib is None:
+        raise NotFoundError(
+            f"Failed to update library agent for {agent_graph_id} v{agent_graph_version}"
+        )
+
+    return library_model.LibraryAgent.from_db(lib)
 
 
 async def update_library_agent(
@@ -825,6 +836,7 @@ async def add_store_agent_to_library(
                     }
                 },
                 "isCreatedByUser": False,
+                "useGraphIsActiveVersion": False,
                 "settings": SafeJson(
                     _initialize_graph_settings(graph_model).model_dump()
                 ),

autogpt_platform/backend/backend/api/features/library/model.py

@@ -48,6 +48,7 @@ class LibraryAgent(pydantic.BaseModel):
     id: str
     graph_id: str
     graph_version: int
+    owner_user_id: str  # ID of user who owns/created this agent graph
 
     image_url: str | None
 
@@ -163,6 +164,7 @@ class LibraryAgent(pydantic.BaseModel):
             id=agent.id,
             graph_id=agent.agentGraphId,
             graph_version=agent.agentGraphVersion,
+            owner_user_id=agent.userId,
             image_url=agent.imageUrl,
             creator_name=creator_name,
             creator_image_url=creator_image_url,

autogpt_platform/backend/backend/api/features/library/routes_test.py

@@ -42,6 +42,7 @@ async def test_get_library_agents_success(
                 id="test-agent-1",
                 graph_id="test-agent-1",
                 graph_version=1,
+                owner_user_id=test_user_id,
                 name="Test Agent 1",
                 description="Test Description 1",
                 image_url=None,
@@ -64,6 +65,7 @@ async def test_get_library_agents_success(
                 id="test-agent-2",
                 graph_id="test-agent-2",
                 graph_version=1,
+                owner_user_id=test_user_id,
                 name="Test Agent 2",
                 description="Test Description 2",
                 image_url=None,
@@ -138,6 +140,7 @@ async def test_get_favorite_library_agents_success(
                 id="test-agent-1",
                 graph_id="test-agent-1",
                 graph_version=1,
+                owner_user_id=test_user_id,
                 name="Favorite Agent 1",
                 description="Test Favorite Description 1",
                 image_url=None,
@@ -205,6 +208,7 @@ def test_add_agent_to_library_success(
         id="test-library-agent-id",
         graph_id="test-agent-1",
         graph_version=1,
+        owner_user_id=test_user_id,
         name="Test Agent 1",
         description="Test Description 1",
         image_url=None,

autogpt_platform/backend/backend/api/features/store/db.py

@@ -614,6 +614,7 @@ async def get_store_submissions(
         submission_models = []
         for sub in submissions:
             submission_model = store_model.StoreSubmission(
+                listing_id=sub.listing_id,
                 agent_id=sub.agent_id,
                 agent_version=sub.agent_version,
                 name=sub.name,
@@ -667,35 +668,48 @@ async def delete_store_submission(
     submission_id: str,
 ) -> bool:
     """
-    Delete a store listing submission as the submitting user.
+    Delete a store submission version as the submitting user.
 
     Args:
         user_id: ID of the authenticated user
-        submission_id: ID of the submission to be deleted
+        submission_id: StoreListingVersion ID to delete
 
     Returns:
-        bool: True if the submission was successfully deleted, False otherwise
+        bool: True if successfully deleted
     """
-    logger.debug(f"Deleting store submission {submission_id} for user {user_id}")
-
     try:
-        # Verify the submission belongs to this user
-        submission = await prisma.models.StoreListing.prisma().find_first(
-            where={"agentGraphId": submission_id, "owningUserId": user_id}
+        # Find the submission version with ownership check
+        version = await prisma.models.StoreListingVersion.prisma().find_first(
+            where={"id": submission_id}, include={"StoreListing": True}
         )
 
-        if not submission:
-            logger.warning(f"Submission not found for user {user_id}: {submission_id}")
-            raise store_exceptions.SubmissionNotFoundError(
-                f"Submission not found for this user. User ID: {user_id}, Submission ID: {submission_id}"
+        if (
+            not version
+            or not version.StoreListing
+            or version.StoreListing.owningUserId != user_id
+        ):
+            raise store_exceptions.SubmissionNotFoundError("Submission not found")
+
+        # Prevent deletion of approved submissions
+        if version.submissionStatus == prisma.enums.SubmissionStatus.APPROVED:
+            raise store_exceptions.InvalidOperationError(
+                "Cannot delete approved submissions"
             )
 
-        # Delete the submission
-        await prisma.models.StoreListing.prisma().delete(where={"id": submission.id})
-
-        logger.debug(
-            f"Successfully deleted submission {submission_id} for user {user_id}"
+        # Delete the version
+        await prisma.models.StoreListingVersion.prisma().delete(
+            where={"id": version.id}
         )
+
+        # Clean up empty listing if this was the last version
+        remaining = await prisma.models.StoreListingVersion.prisma().count(
+            where={"storeListingId": version.storeListingId}
+        )
+        if remaining == 0:
+            await prisma.models.StoreListing.prisma().delete(
+                where={"id": version.storeListingId}
+            )
+
         return True
 
     except Exception as e:
@@ -759,9 +773,15 @@ async def create_store_submission(
             logger.warning(
                 f"Agent not found for user {user_id}: {agent_id} v{agent_version}"
             )
-            raise store_exceptions.AgentNotFoundError(
-                f"Agent not found for this user. User ID: {user_id}, Agent ID: {agent_id}, Version: {agent_version}"
-            )
+            # Provide more user-friendly error message when agent_id is empty
+            if not agent_id or agent_id.strip() == "":
+                raise store_exceptions.AgentNotFoundError(
+                    "No agent selected. Please select an agent before submitting to the store."
+                )
+            else:
+                raise store_exceptions.AgentNotFoundError(
+                    f"Agent not found for this user. User ID: {user_id}, Agent ID: {agent_id}, Version: {agent_version}"
+                )
 
         # Check if listing already exists for this agent
         existing_listing = await prisma.models.StoreListing.prisma().find_first(
@@ -833,6 +853,7 @@ async def create_store_submission(
         logger.debug(f"Created store listing for agent {agent_id}")
         # Return submission details
         return store_model.StoreSubmission(
+            listing_id=listing.id,
             agent_id=agent_id,
             agent_version=agent_version,
             name=name,
@@ -944,81 +965,56 @@ async def edit_store_submission(
         # Currently we are not allowing user to update the agent associated with a submission
         # If we allow it in future, then we need a check here to verify the agent belongs to this user.
 
-        # Check if we can edit this submission
-        if current_version.submissionStatus == prisma.enums.SubmissionStatus.REJECTED:
+        # Only allow editing of PENDING submissions
+        if current_version.submissionStatus != prisma.enums.SubmissionStatus.PENDING:
             raise store_exceptions.InvalidOperationError(
-                "Cannot edit a rejected submission"
-            )
-
-        # For APPROVED submissions, we need to create a new version
-        if current_version.submissionStatus == prisma.enums.SubmissionStatus.APPROVED:
-            # Create a new version for the existing listing
-            return await create_store_version(
-                user_id=user_id,
-                agent_id=current_version.agentGraphId,
-                agent_version=current_version.agentGraphVersion,
-                store_listing_id=current_version.storeListingId,
-                name=name,
-                video_url=video_url,
-                agent_output_demo_url=agent_output_demo_url,
-                image_urls=image_urls,
-                description=description,
-                sub_heading=sub_heading,
-                categories=categories,
-                changes_summary=changes_summary,
-                recommended_schedule_cron=recommended_schedule_cron,
-                instructions=instructions,
+                f"Cannot edit a {current_version.submissionStatus.value.lower()} submission. Only pending submissions can be edited."
             )
 
         # For PENDING submissions, we can update the existing version
-        elif current_version.submissionStatus == prisma.enums.SubmissionStatus.PENDING:
-            # Update the existing version
-            updated_version = await prisma.models.StoreListingVersion.prisma().update(
-                where={"id": store_listing_version_id},
-                data=prisma.types.StoreListingVersionUpdateInput(
-                    name=name,
-                    videoUrl=video_url,
-                    agentOutputDemoUrl=agent_output_demo_url,
-                    imageUrls=image_urls,
-                    description=description,
-                    categories=categories,
-                    subHeading=sub_heading,
-                    changesSummary=changes_summary,
-                    recommendedScheduleCron=recommended_schedule_cron,
-                    instructions=instructions,
-                ),
-            )
-
-            logger.debug(
-                f"Updated existing version {store_listing_version_id} for agent {current_version.agentGraphId}"
-            )
-
-            if not updated_version:
-                raise DatabaseError("Failed to update store listing version")
-            return store_model.StoreSubmission(
-                agent_id=current_version.agentGraphId,
-                agent_version=current_version.agentGraphVersion,
+        # Update the existing version
+        updated_version = await prisma.models.StoreListingVersion.prisma().update(
+            where={"id": store_listing_version_id},
+            data=prisma.types.StoreListingVersionUpdateInput(
                 name=name,
-                sub_heading=sub_heading,
-                slug=current_version.StoreListing.slug,
+                videoUrl=video_url,
+                agentOutputDemoUrl=agent_output_demo_url,
+                imageUrls=image_urls,
                 description=description,
-                instructions=instructions,
-                image_urls=image_urls,
-                date_submitted=updated_version.submittedAt or updated_version.createdAt,
-                status=updated_version.submissionStatus,
-                runs=0,
-                rating=0.0,
-                store_listing_version_id=updated_version.id,
-                changes_summary=changes_summary,
-                video_url=video_url,
                 categories=categories,
-                version=updated_version.version,
-            )
+                subHeading=sub_heading,
+                changesSummary=changes_summary,
+                recommendedScheduleCron=recommended_schedule_cron,
+                instructions=instructions,
+            ),
+        )
 
-        else:
-            raise store_exceptions.InvalidOperationError(
-                f"Cannot edit submission with status: {current_version.submissionStatus}"
-            )
+        logger.debug(
+            f"Updated existing version {store_listing_version_id} for agent {current_version.agentGraphId}"
+        )
+
+        if not updated_version:
+            raise DatabaseError("Failed to update store listing version")
+        return store_model.StoreSubmission(
+            listing_id=current_version.StoreListing.id,
+            agent_id=current_version.agentGraphId,
+            agent_version=current_version.agentGraphVersion,
+            name=name,
+            sub_heading=sub_heading,
+            slug=current_version.StoreListing.slug,
+            description=description,
+            instructions=instructions,
+            image_urls=image_urls,
+            date_submitted=updated_version.submittedAt or updated_version.createdAt,
+            status=updated_version.submissionStatus,
+            runs=0,
+            rating=0.0,
+            store_listing_version_id=updated_version.id,
+            changes_summary=changes_summary,
+            video_url=video_url,
+            categories=categories,
+            version=updated_version.version,
+        )
 
     except (
         store_exceptions.SubmissionNotFoundError,
@@ -1097,38 +1093,78 @@ async def create_store_version(
                 f"Agent not found for this user. User ID: {user_id}, Agent ID: {agent_id}, Version: {agent_version}"
             )
 
-        # Get the latest version number
-        latest_version = listing.Versions[0] if listing.Versions else None
-
-        next_version = (latest_version.version + 1) if latest_version else 1
-
-        # Create a new version for the existing listing
-        new_version = await prisma.models.StoreListingVersion.prisma().create(
-            data=prisma.types.StoreListingVersionCreateInput(
-                version=next_version,
-                agentGraphId=agent_id,
-                agentGraphVersion=agent_version,
-                name=name,
-                videoUrl=video_url,
-                agentOutputDemoUrl=agent_output_demo_url,
-                imageUrls=image_urls,
-                description=description,
-                instructions=instructions,
-                categories=categories,
-                subHeading=sub_heading,
-                submissionStatus=prisma.enums.SubmissionStatus.PENDING,
-                submittedAt=datetime.now(),
-                changesSummary=changes_summary,
-                recommendedScheduleCron=recommended_schedule_cron,
-                storeListingId=store_listing_id,
+        # Check if there's already a PENDING submission for this agent (any version)
+        existing_pending_submission = (
+            await prisma.models.StoreListingVersion.prisma().find_first(
+                where=prisma.types.StoreListingVersionWhereInput(
+                    storeListingId=store_listing_id,
+                    agentGraphId=agent_id,
+                    submissionStatus=prisma.enums.SubmissionStatus.PENDING,
+                    isDeleted=False,
+                )
             )
         )
 
+        # Handle existing pending submission and create new one atomically
+        async with transaction() as tx:
+            # Get the latest version number first
+            latest_listing = await prisma.models.StoreListing.prisma(tx).find_first(
+                where=prisma.types.StoreListingWhereInput(
+                    id=store_listing_id, owningUserId=user_id
+                ),
+                include={"Versions": {"order_by": {"version": "desc"}, "take": 1}},
+            )
+
+            if not latest_listing:
+                raise store_exceptions.ListingNotFoundError(
+                    f"Store listing not found. User ID: {user_id}, Listing ID: {store_listing_id}"
+                )
+
+            latest_version = (
+                latest_listing.Versions[0] if latest_listing.Versions else None
+            )
+            next_version = (latest_version.version + 1) if latest_version else 1
+
+            # If there's an existing pending submission, delete it atomically before creating new one
+            if existing_pending_submission:
+                logger.info(
+                    f"Found existing PENDING submission for agent {agent_id} (was v{existing_pending_submission.agentGraphVersion}, now v{agent_version}), replacing existing submission instead of creating duplicate"
+                )
+                await prisma.models.StoreListingVersion.prisma(tx).delete(
+                    where={"id": existing_pending_submission.id}
+                )
+                logger.debug(
+                    f"Deleted existing pending submission {existing_pending_submission.id}"
+                )
+
+            # Create a new version for the existing listing
+            new_version = await prisma.models.StoreListingVersion.prisma(tx).create(
+                data=prisma.types.StoreListingVersionCreateInput(
+                    version=next_version,
+                    agentGraphId=agent_id,
+                    agentGraphVersion=agent_version,
+                    name=name,
+                    videoUrl=video_url,
+                    agentOutputDemoUrl=agent_output_demo_url,
+                    imageUrls=image_urls,
+                    description=description,
+                    instructions=instructions,
+                    categories=categories,
+                    subHeading=sub_heading,
+                    submissionStatus=prisma.enums.SubmissionStatus.PENDING,
+                    submittedAt=datetime.now(),
+                    changesSummary=changes_summary,
+                    recommendedScheduleCron=recommended_schedule_cron,
+                    storeListingId=store_listing_id,
+                )
+            )
+
         logger.debug(
             f"Created new version for listing {store_listing_id} of agent {agent_id}"
         )
         # Return submission details
         return store_model.StoreSubmission(
+            listing_id=listing.id,
             agent_id=agent_id,
             agent_version=agent_version,
             name=name,
@@ -1708,15 +1744,12 @@ async def review_store_submission(
 
         # Convert to Pydantic model for consistency
         return store_model.StoreSubmission(
+            listing_id=(submission.StoreListing.id if submission.StoreListing else ""),
             agent_id=submission.agentGraphId,
             agent_version=submission.agentGraphVersion,
             name=submission.name,
             sub_heading=submission.subHeading,
-            slug=(
-                submission.StoreListing.slug
-                if hasattr(submission, "storeListing") and submission.StoreListing
-                else ""
-            ),
+            slug=(submission.StoreListing.slug if submission.StoreListing else ""),
             description=submission.description,
             instructions=submission.instructions,
             image_urls=submission.imageUrls or [],
@@ -1818,9 +1851,7 @@ async def get_admin_listings_with_versions(
         where = prisma.types.StoreListingWhereInput(**where_dict)
         include = prisma.types.StoreListingInclude(
             Versions=prisma.types.FindManyStoreListingVersionArgsFromStoreListing(
-                order_by=prisma.types._StoreListingVersion_version_OrderByInput(
-                    version="desc"
-                )
+                order_by={"version": "desc"}
             ),
             OwningUser=True,
         )
@@ -1845,6 +1876,7 @@ async def get_admin_listings_with_versions(
             # If we have versions, turn them into StoreSubmission models
             for version in listing.Versions or []:
                 version_model = store_model.StoreSubmission(
+                    listing_id=listing.id,
                     agent_id=version.agentGraphId,
                     agent_version=version.agentGraphVersion,
                     name=version.name,

autogpt_platform/backend/backend/api/features/store/model.py

@@ -110,6 +110,7 @@ class Profile(pydantic.BaseModel):
 
 
 class StoreSubmission(pydantic.BaseModel):
+    listing_id: str
     agent_id: str
     agent_version: int
     name: str
@@ -164,8 +165,12 @@ class StoreListingsWithVersionsResponse(pydantic.BaseModel):
 
 
 class StoreSubmissionRequest(pydantic.BaseModel):
-    agent_id: str
-    agent_version: int
+    agent_id: str = pydantic.Field(
+        ..., min_length=1, description="Agent ID cannot be empty"
+    )
+    agent_version: int = pydantic.Field(
+        ..., gt=0, description="Agent version must be greater than 0"
+    )
     slug: str
     name: str
     sub_heading: str

autogpt_platform/backend/backend/api/features/store/model_test.py

@@ -138,6 +138,7 @@ def test_creator_details():
 
 def test_store_submission():
     submission = store_model.StoreSubmission(
+        listing_id="listing123",
         agent_id="agent123",
         agent_version=1,
         sub_heading="Test subheading",
@@ -159,6 +160,7 @@ def test_store_submissions_response():
     response = store_model.StoreSubmissionsResponse(
         submissions=[
             store_model.StoreSubmission(
+                listing_id="listing123",
                 agent_id="agent123",
                 agent_version=1,
                 sub_heading="Test subheading",

autogpt_platform/backend/backend/api/features/store/routes_test.py

@@ -521,6 +521,7 @@ def test_get_submissions_success(
     mocked_value = store_model.StoreSubmissionsResponse(
         submissions=[
             store_model.StoreSubmission(
+                listing_id="test-listing-id",
                 name="Test Agent",
                 description="Test agent description",
                 image_urls=["test.jpg"],

autogpt_platform/backend/backend/blocks/airtable/_webhook.py

@@ -6,6 +6,9 @@ import hashlib
 import hmac
 import logging
 from enum import Enum
+from typing import cast
+
+from prisma.types import Serializable
 
 from backend.sdk import (
     BaseWebhooksManager,
@@ -84,7 +87,9 @@ class AirtableWebhookManager(BaseWebhooksManager):
         # update webhook config
         await update_webhook(
             webhook.id,
-            config={"base_id": base_id, "cursor": response.cursor},
+            config=cast(
+                dict[str, Serializable], {"base_id": base_id, "cursor": response.cursor}
+            ),
         )
 
         event_type = "notification"

autogpt_platform/backend/backend/blocks/basic.py

@@ -81,7 +81,7 @@ class StoreValueBlock(Block):
     def __init__(self):
         super().__init__(
             id="1ff065e9-88e8-4358-9d82-8dc91f622ba9",
-            description="This block forwards an input value as output, allowing reuse without change.",
+            description="A basic block that stores and forwards a value throughout workflows, allowing it to be reused without changes across multiple blocks.",
             categories={BlockCategory.BASIC},
             input_schema=StoreValueBlock.Input,
             output_schema=StoreValueBlock.Output,
@@ -111,7 +111,7 @@ class PrintToConsoleBlock(Block):
     def __init__(self):
         super().__init__(
             id="f3b1c1b2-4c4f-4f0d-8d2f-4c4f0d8d2f4c",
-            description="Print the given text to the console, this is used for a debugging purpose.",
+            description="A debugging block that outputs text to the console for monitoring and troubleshooting workflow execution.",
             categories={BlockCategory.BASIC},
             input_schema=PrintToConsoleBlock.Input,
             output_schema=PrintToConsoleBlock.Output,
@@ -137,7 +137,7 @@ class NoteBlock(Block):
     def __init__(self):
         super().__init__(
             id="cc10ff7b-7753-4ff2-9af6-9399b1a7eddc",
-            description="This block is used to display a sticky note with the given text.",
+            description="A visual annotation block that displays a sticky note in the workflow editor for documentation and organization purposes.",
             categories={BlockCategory.BASIC},
             input_schema=NoteBlock.Input,
             output_schema=NoteBlock.Output,

autogpt_platform/backend/backend/blocks/data_manipulation.py

@@ -159,7 +159,7 @@ class FindInDictionaryBlock(Block):
     def __init__(self):
         super().__init__(
             id="0e50422c-6dee-4145-83d6-3a5a392f65de",
-            description="Lookup the given key in the input dictionary/object/list and return the value.",
+            description="A block that looks up a value in a dictionary, list, or object by key or index and returns the corresponding value.",
             input_schema=FindInDictionaryBlock.Input,
             output_schema=FindInDictionaryBlock.Output,
             test_input=[

autogpt_platform/backend/backend/blocks/github/issues.py

@@ -51,7 +51,7 @@ class GithubCommentBlock(Block):
     def __init__(self):
         super().__init__(
             id="a8db4d8d-db1c-4a25-a1b0-416a8c33602b",
-            description="This block posts a comment on a specified GitHub issue or pull request.",
+            description="A block that posts comments on GitHub issues or pull requests using the GitHub API.",
             categories={BlockCategory.DEVELOPER_TOOLS},
             input_schema=GithubCommentBlock.Input,
             output_schema=GithubCommentBlock.Output,
@@ -151,7 +151,7 @@ class GithubUpdateCommentBlock(Block):
     def __init__(self):
         super().__init__(
             id="b3f4d747-10e3-4e69-8c51-f2be1d99c9a7",
-            description="This block updates a comment on a specified GitHub issue or pull request.",
+            description="A block that updates an existing comment on a GitHub issue or pull request.",
             categories={BlockCategory.DEVELOPER_TOOLS},
             input_schema=GithubUpdateCommentBlock.Input,
             output_schema=GithubUpdateCommentBlock.Output,
@@ -249,7 +249,7 @@ class GithubListCommentsBlock(Block):
     def __init__(self):
         super().__init__(
             id="c4b5fb63-0005-4a11-b35a-0c2467bd6b59",
-            description="This block lists all comments for a specified GitHub issue or pull request.",
+            description="A block that retrieves all comments from a GitHub issue or pull request, including comment metadata and content.",
             categories={BlockCategory.DEVELOPER_TOOLS},
             input_schema=GithubListCommentsBlock.Input,
             output_schema=GithubListCommentsBlock.Output,
@@ -363,7 +363,7 @@ class GithubMakeIssueBlock(Block):
     def __init__(self):
         super().__init__(
             id="691dad47-f494-44c3-a1e8-05b7990f2dab",
-            description="This block creates a new issue on a specified GitHub repository.",
+            description="A block that creates new issues on GitHub repositories with a title and body content.",
             categories={BlockCategory.DEVELOPER_TOOLS},
             input_schema=GithubMakeIssueBlock.Input,
             output_schema=GithubMakeIssueBlock.Output,
@@ -433,7 +433,7 @@ class GithubReadIssueBlock(Block):
     def __init__(self):
         super().__init__(
             id="6443c75d-032a-4772-9c08-230c707c8acc",
-            description="This block reads the body, title, and user of a specified GitHub issue.",
+            description="A block that retrieves information about a specific GitHub issue, including its title, body content, and creator.",
             categories={BlockCategory.DEVELOPER_TOOLS},
             input_schema=GithubReadIssueBlock.Input,
             output_schema=GithubReadIssueBlock.Output,
@@ -510,7 +510,7 @@ class GithubListIssuesBlock(Block):
     def __init__(self):
         super().__init__(
             id="c215bfd7-0e57-4573-8f8c-f7d4963dcd74",
-            description="This block lists all issues for a specified GitHub repository.",
+            description="A block that retrieves a list of issues from a GitHub repository with their titles and URLs.",
             categories={BlockCategory.DEVELOPER_TOOLS},
             input_schema=GithubListIssuesBlock.Input,
             output_schema=GithubListIssuesBlock.Output,
@@ -597,7 +597,7 @@ class GithubAddLabelBlock(Block):
     def __init__(self):
         super().__init__(
             id="98bd6b77-9506-43d5-b669-6b9733c4b1f1",
-            description="This block adds a label to a specified GitHub issue or pull request.",
+            description="A block that adds a label to a GitHub issue or pull request for categorization and organization.",
             categories={BlockCategory.DEVELOPER_TOOLS},
             input_schema=GithubAddLabelBlock.Input,
             output_schema=GithubAddLabelBlock.Output,
@@ -657,7 +657,7 @@ class GithubRemoveLabelBlock(Block):
     def __init__(self):
         super().__init__(
             id="78f050c5-3e3a-48c0-9e5b-ef1ceca5589c",
-            description="This block removes a label from a specified GitHub issue or pull request.",
+            description="A block that removes a label from a GitHub issue or pull request.",
             categories={BlockCategory.DEVELOPER_TOOLS},
             input_schema=GithubRemoveLabelBlock.Input,
             output_schema=GithubRemoveLabelBlock.Output,
@@ -720,7 +720,7 @@ class GithubAssignIssueBlock(Block):
     def __init__(self):
         super().__init__(
             id="90507c72-b0ff-413a-886a-23bbbd66f542",
-            description="This block assigns a user to a specified GitHub issue.",
+            description="A block that assigns a GitHub user to an issue for task ownership and tracking.",
             categories={BlockCategory.DEVELOPER_TOOLS},
             input_schema=GithubAssignIssueBlock.Input,
             output_schema=GithubAssignIssueBlock.Output,
@@ -786,7 +786,7 @@ class GithubUnassignIssueBlock(Block):
     def __init__(self):
         super().__init__(
             id="d154002a-38f4-46c2-962d-2488f2b05ece",
-            description="This block unassigns a user from a specified GitHub issue.",
+            description="A block that removes a user's assignment from a GitHub issue.",
             categories={BlockCategory.DEVELOPER_TOOLS},
             input_schema=GithubUnassignIssueBlock.Input,
             output_schema=GithubUnassignIssueBlock.Output,

autogpt_platform/backend/backend/blocks/google/gmail.py

@@ -353,7 +353,7 @@ class GmailReadBlock(GmailBase):
     def __init__(self):
         super().__init__(
             id="25310c70-b89b-43ba-b25c-4dfa7e2a481c",
-            description="This block reads emails from Gmail.",
+            description="A block that retrieves and reads emails from a Gmail account based on search criteria, returning detailed message information including subject, sender, body, and attachments.",
             categories={BlockCategory.COMMUNICATION},
             disabled=not GOOGLE_OAUTH_IS_CONFIGURED,
             input_schema=GmailReadBlock.Input,
@@ -743,7 +743,7 @@ class GmailListLabelsBlock(GmailBase):
     def __init__(self):
         super().__init__(
             id="3e1c2c1c-c689-4520-b956-1f3bf4e02bb7",
-            description="This block lists all labels in Gmail.",
+            description="A block that retrieves all labels (categories) from a Gmail account for organizing and categorizing emails.",
             categories={BlockCategory.COMMUNICATION},
             input_schema=GmailListLabelsBlock.Input,
             output_schema=GmailListLabelsBlock.Output,
@@ -807,7 +807,7 @@ class GmailAddLabelBlock(GmailBase):
     def __init__(self):
         super().__init__(
             id="f884b2fb-04f4-4265-9658-14f433926ac9",
-            description="This block adds a label to a Gmail message.",
+            description="A block that adds a label to a specific email message in Gmail, creating the label if it doesn't exist.",
             categories={BlockCategory.COMMUNICATION},
             input_schema=GmailAddLabelBlock.Input,
             output_schema=GmailAddLabelBlock.Output,
@@ -893,7 +893,7 @@ class GmailRemoveLabelBlock(GmailBase):
     def __init__(self):
         super().__init__(
             id="0afc0526-aba1-4b2b-888e-a22b7c3f359d",
-            description="This block removes a label from a Gmail message.",
+            description="A block that removes a label from a specific email message in a Gmail account.",
             categories={BlockCategory.COMMUNICATION},
             input_schema=GmailRemoveLabelBlock.Input,
             output_schema=GmailRemoveLabelBlock.Output,
@@ -961,7 +961,7 @@ class GmailGetThreadBlock(GmailBase):
     def __init__(self):
         super().__init__(
             id="21a79166-9df7-4b5f-9f36-96f639d86112",
-            description="Get a full Gmail thread by ID",
+            description="A block that retrieves an entire Gmail thread (email conversation) by ID, returning all messages with decoded bodies for reading complete conversations.",
             categories={BlockCategory.COMMUNICATION},
             input_schema=GmailGetThreadBlock.Input,
             output_schema=GmailGetThreadBlock.Output,

autogpt_platform/backend/backend/blocks/google/sheets.py

@@ -282,7 +282,7 @@ class GoogleSheetsReadBlock(Block):
     def __init__(self):
         super().__init__(
             id="5724e902-3635-47e9-a108-aaa0263a4988",
-            description="This block reads data from a Google Sheets spreadsheet.",
+            description="A block that reads data from a Google Sheets spreadsheet using A1 notation range selection.",
             categories={BlockCategory.DATA},
             input_schema=GoogleSheetsReadBlock.Input,
             output_schema=GoogleSheetsReadBlock.Output,
@@ -409,7 +409,7 @@ class GoogleSheetsWriteBlock(Block):
     def __init__(self):
         super().__init__(
             id="d9291e87-301d-47a8-91fe-907fb55460e5",
-            description="This block writes data to a Google Sheets spreadsheet.",
+            description="A block that writes data to a Google Sheets spreadsheet at a specified A1 notation range.",
             categories={BlockCategory.DATA},
             input_schema=GoogleSheetsWriteBlock.Input,
             output_schema=GoogleSheetsWriteBlock.Output,

autogpt_platform/backend/backend/blocks/helpers/review.py

@@ -0,0 +1,184 @@
+"""
+Shared helpers for Human-In-The-Loop (HITL) review functionality.
+Used by both the dedicated HumanInTheLoopBlock and blocks that require human review.
+"""
+
+import logging
+from typing import Any, Optional
+
+from prisma.enums import ReviewStatus
+from pydantic import BaseModel
+
+from backend.data.execution import ExecutionContext, ExecutionStatus
+from backend.data.human_review import ReviewResult
+from backend.executor.manager import async_update_node_execution_status
+from backend.util.clients import get_database_manager_async_client
+
+logger = logging.getLogger(__name__)
+
+
+class ReviewDecision(BaseModel):
+    """Result of a review decision."""
+
+    should_proceed: bool
+    message: str
+    review_result: ReviewResult
+
+
+class HITLReviewHelper:
+    """Helper class for Human-In-The-Loop review operations."""
+
+    @staticmethod
+    async def get_or_create_human_review(**kwargs) -> Optional[ReviewResult]:
+        """Create or retrieve a human review from the database."""
+        return await get_database_manager_async_client().get_or_create_human_review(
+            **kwargs
+        )
+
+    @staticmethod
+    async def update_node_execution_status(**kwargs) -> None:
+        """Update the execution status of a node."""
+        await async_update_node_execution_status(
+            db_client=get_database_manager_async_client(), **kwargs
+        )
+
+    @staticmethod
+    async def update_review_processed_status(
+        node_exec_id: str, processed: bool
+    ) -> None:
+        """Update the processed status of a review."""
+        return await get_database_manager_async_client().update_review_processed_status(
+            node_exec_id, processed
+        )
+
+    @staticmethod
+    async def _handle_review_request(
+        input_data: Any,
+        user_id: str,
+        node_exec_id: str,
+        graph_exec_id: str,
+        graph_id: str,
+        graph_version: int,
+        execution_context: ExecutionContext,
+        block_name: str = "Block",
+        editable: bool = False,
+    ) -> Optional[ReviewResult]:
+        """
+        Handle a review request for a block that requires human review.
+
+        Args:
+            input_data: The input data to be reviewed
+            user_id: ID of the user requesting the review
+            node_exec_id: ID of the node execution
+            graph_exec_id: ID of the graph execution
+            graph_id: ID of the graph
+            graph_version: Version of the graph
+            execution_context: Current execution context
+            block_name: Name of the block requesting review
+            editable: Whether the reviewer can edit the data
+
+        Returns:
+            ReviewResult if review is complete, None if waiting for human input
+
+        Raises:
+            Exception: If review creation or status update fails
+        """
+        # Skip review if safe mode is disabled - return auto-approved result
+        if not execution_context.safe_mode:
+            logger.info(
+                f"Block {block_name} skipping review for node {node_exec_id} - safe mode disabled"
+            )
+            return ReviewResult(
+                data=input_data,
+                status=ReviewStatus.APPROVED,
+                message="Auto-approved (safe mode disabled)",
+                processed=True,
+                node_exec_id=node_exec_id,
+            )
+
+        result = await HITLReviewHelper.get_or_create_human_review(
+            user_id=user_id,
+            node_exec_id=node_exec_id,
+            graph_exec_id=graph_exec_id,
+            graph_id=graph_id,
+            graph_version=graph_version,
+            input_data=input_data,
+            message=f"Review required for {block_name} execution",
+            editable=editable,
+        )
+
+        if result is None:
+            logger.info(
+                f"Block {block_name} pausing execution for node {node_exec_id} - awaiting human review"
+            )
+            await HITLReviewHelper.update_node_execution_status(
+                exec_id=node_exec_id,
+                status=ExecutionStatus.REVIEW,
+            )
+            return None  # Signal that execution should pause
+
+        # Mark review as processed if not already done
+        if not result.processed:
+            await HITLReviewHelper.update_review_processed_status(
+                node_exec_id=node_exec_id, processed=True
+            )
+
+        return result
+
+    @staticmethod
+    async def handle_review_decision(
+        input_data: Any,
+        user_id: str,
+        node_exec_id: str,
+        graph_exec_id: str,
+        graph_id: str,
+        graph_version: int,
+        execution_context: ExecutionContext,
+        block_name: str = "Block",
+        editable: bool = False,
+    ) -> Optional[ReviewDecision]:
+        """
+        Handle a review request and return the decision in a single call.
+
+        Args:
+            input_data: The input data to be reviewed
+            user_id: ID of the user requesting the review
+            node_exec_id: ID of the node execution
+            graph_exec_id: ID of the graph execution
+            graph_id: ID of the graph
+            graph_version: Version of the graph
+            execution_context: Current execution context
+            block_name: Name of the block requesting review
+            editable: Whether the reviewer can edit the data
+
+        Returns:
+            ReviewDecision if review is complete (approved/rejected),
+            None if execution should pause (awaiting review)
+        """
+        review_result = await HITLReviewHelper._handle_review_request(
+            input_data=input_data,
+            user_id=user_id,
+            node_exec_id=node_exec_id,
+            graph_exec_id=graph_exec_id,
+            graph_id=graph_id,
+            graph_version=graph_version,
+            execution_context=execution_context,
+            block_name=block_name,
+            editable=editable,
+        )
+
+        if review_result is None:
+            # Still awaiting review - return None to pause execution
+            return None
+
+        # Review is complete, determine outcome
+        should_proceed = review_result.status == ReviewStatus.APPROVED
+        message = review_result.message or (
+            "Execution approved by reviewer"
+            if should_proceed
+            else "Execution rejected by reviewer"
+        )
+
+        return ReviewDecision(
+            should_proceed=should_proceed, message=message, review_result=review_result
+        )

autogpt_platform/backend/backend/blocks/human_in_the_loop.py

@@ -3,6 +3,7 @@ from typing import Any
 
 from prisma.enums import ReviewStatus
 
+from backend.blocks.helpers.review import HITLReviewHelper
 from backend.data.block import (
     Block,
     BlockCategory,
@@ -11,11 +12,9 @@ from backend.data.block import (
     BlockSchemaOutput,
     BlockType,
 )
-from backend.data.execution import ExecutionContext, ExecutionStatus
+from backend.data.execution import ExecutionContext
 from backend.data.human_review import ReviewResult
 from backend.data.model import SchemaField
-from backend.executor.manager import async_update_node_execution_status
-from backend.util.clients import get_database_manager_async_client
 
 logger = logging.getLogger(__name__)
 
@@ -72,32 +71,26 @@ class HumanInTheLoopBlock(Block):
                 ("approved_data", {"name": "John Doe", "age": 30}),
             ],
             test_mock={
-                "get_or_create_human_review": lambda *_args, **_kwargs: ReviewResult(
-                    data={"name": "John Doe", "age": 30},
-                    status=ReviewStatus.APPROVED,
-                    message="",
-                    processed=False,
-                    node_exec_id="test-node-exec-id",
-                ),
-                "update_node_execution_status": lambda *_args, **_kwargs: None,
-                "update_review_processed_status": lambda *_args, **_kwargs: None,
+                "handle_review_decision": lambda **kwargs: type(
+                    "ReviewDecision",
+                    (),
+                    {
+                        "should_proceed": True,
+                        "message": "Test approval message",
+                        "review_result": ReviewResult(
+                            data={"name": "John Doe", "age": 30},
+                            status=ReviewStatus.APPROVED,
+                            message="",
+                            processed=False,
+                            node_exec_id="test-node-exec-id",
+                        ),
+                    },
+                )(),
             },
         )
 
-    async def get_or_create_human_review(self, **kwargs):
-        return await get_database_manager_async_client().get_or_create_human_review(
-            **kwargs
-        )
-
-    async def update_node_execution_status(self, **kwargs):
-        return await async_update_node_execution_status(
-            db_client=get_database_manager_async_client(), **kwargs
-        )
-
-    async def update_review_processed_status(self, node_exec_id: str, processed: bool):
-        return await get_database_manager_async_client().update_review_processed_status(
-            node_exec_id, processed
-        )
+    async def handle_review_decision(self, **kwargs):
+        return await HITLReviewHelper.handle_review_decision(**kwargs)
 
     async def run(
         self,
@@ -109,7 +102,7 @@ class HumanInTheLoopBlock(Block):
         graph_id: str,
         graph_version: int,
         execution_context: ExecutionContext,
-        **kwargs,
+        **_kwargs,
     ) -> BlockOutput:
         if not execution_context.safe_mode:
             logger.info(
@@ -119,48 +112,28 @@ class HumanInTheLoopBlock(Block):
             yield "review_message", "Auto-approved (safe mode disabled)"
             return
 
-        try:
-            result = await self.get_or_create_human_review(
-                user_id=user_id,
-                node_exec_id=node_exec_id,
-                graph_exec_id=graph_exec_id,
-                graph_id=graph_id,
-                graph_version=graph_version,
-                input_data=input_data.data,
-                message=input_data.name,
-                editable=input_data.editable,
-            )
-        except Exception as e:
-            logger.error(f"Error in HITL block for node {node_exec_id}: {str(e)}")
-            raise
+        decision = await self.handle_review_decision(
+            input_data=input_data.data,
+            user_id=user_id,
+            node_exec_id=node_exec_id,
+            graph_exec_id=graph_exec_id,
+            graph_id=graph_id,
+            graph_version=graph_version,
+            execution_context=execution_context,
+            block_name=self.name,
+            editable=input_data.editable,
+        )
 
-        if result is None:
-            logger.info(
-                f"HITL block pausing execution for node {node_exec_id} - awaiting human review"
-            )
-            try:
-                await self.update_node_execution_status(
-                    exec_id=node_exec_id,
-                    status=ExecutionStatus.REVIEW,
-                )
-                return
-            except Exception as e:
-                logger.error(
-                    f"Failed to update node status for HITL block {node_exec_id}: {str(e)}"
-                )
-                raise
+        if decision is None:
+            return
 
-        if not result.processed:
-            await self.update_review_processed_status(
-                node_exec_id=node_exec_id, processed=True
-            )
+        status = decision.review_result.status
+        if status == ReviewStatus.APPROVED:
+            yield "approved_data", decision.review_result.data
+        elif status == ReviewStatus.REJECTED:
+            yield "rejected_data", decision.review_result.data
+        else:
+            raise RuntimeError(f"Unexpected review status: {status}")
 
-            if result.status == ReviewStatus.APPROVED:
-                yield "approved_data", result.data
-                if result.message:
-                    yield "review_message", result.message
-
-            elif result.status == ReviewStatus.REJECTED:
-                yield "rejected_data", result.data
-                if result.message:
-                    yield "review_message", result.message
+        if decision.message:
+            yield "review_message", decision.message

autogpt_platform/backend/backend/blocks/io.py

@@ -76,7 +76,7 @@ class AgentInputBlock(Block):
         super().__init__(
             **{
                 "id": "c0a8e994-ebf1-4a9c-a4d8-89d09c86741b",
-                "description": "Base block for user inputs.",
+                "description": "A block that accepts and processes user input values within a workflow, supporting various input types and validation.",
                 "input_schema": AgentInputBlock.Input,
                 "output_schema": AgentInputBlock.Output,
                 "test_input": [
@@ -168,7 +168,7 @@ class AgentOutputBlock(Block):
     def __init__(self):
         super().__init__(
             id="363ae599-353e-4804-937e-b2ee3cef3da4",
-            description="Stores the output of the graph for users to see.",
+            description="A block that records and formats workflow results for display to users, with optional Jinja2 template formatting support.",
             input_schema=AgentOutputBlock.Input,
             output_schema=AgentOutputBlock.Output,
             test_input=[

autogpt_platform/backend/backend/blocks/llm.py

@@ -854,7 +854,7 @@ class AIStructuredResponseGeneratorBlock(AIBlockBase):
     def __init__(self):
         super().__init__(
             id="ed55ac19-356e-4243-a6cb-bc599e9b716f",
-            description="Call a Large Language Model (LLM) to generate formatted object based on the given prompt.",
+            description="A block that generates structured JSON responses using a Large Language Model (LLM), with schema validation and format enforcement.",
             categories={BlockCategory.AI},
             input_schema=AIStructuredResponseGeneratorBlock.Input,
             output_schema=AIStructuredResponseGeneratorBlock.Output,
@@ -1265,7 +1265,7 @@ class AITextGeneratorBlock(AIBlockBase):
     def __init__(self):
         super().__init__(
             id="1f292d4a-41a4-4977-9684-7c8d560b9f91",
-            description="Call a Large Language Model (LLM) to generate a string based on the given prompt.",
+            description="A block that produces text responses using a Large Language Model (LLM) based on customizable prompts and system instructions.",
             categories={BlockCategory.AI},
             input_schema=AITextGeneratorBlock.Input,
             output_schema=AITextGeneratorBlock.Output,
@@ -1361,7 +1361,7 @@ class AITextSummarizerBlock(AIBlockBase):
     def __init__(self):
         super().__init__(
             id="a0a69be1-4528-491c-a85a-a4ab6873e3f0",
-            description="Utilize a Large Language Model (LLM) to summarize a long text.",
+            description="A block that summarizes long texts using a Large Language Model (LLM), with configurable focus topics and summary styles.",
             categories={BlockCategory.AI, BlockCategory.TEXT},
             input_schema=AITextSummarizerBlock.Input,
             output_schema=AITextSummarizerBlock.Output,
@@ -1562,7 +1562,7 @@ class AIConversationBlock(AIBlockBase):
     def __init__(self):
         super().__init__(
             id="32a87eab-381e-4dd4-bdb8-4c47151be35a",
-            description="Advanced LLM call that takes a list of messages and sends them to the language model.",
+            description="A block that facilitates multi-turn conversations with a Large Language Model (LLM), maintaining context across message exchanges.",
             categories={BlockCategory.AI},
             input_schema=AIConversationBlock.Input,
             output_schema=AIConversationBlock.Output,
@@ -1682,7 +1682,7 @@ class AIListGeneratorBlock(AIBlockBase):
     def __init__(self):
         super().__init__(
             id="9c0b0450-d199-458b-a731-072189dd6593",
-            description="Generate a list of values based on the given prompt using a Large Language Model (LLM).",
+            description="A block that creates lists of items based on prompts using a Large Language Model (LLM), with optional source data for context.",
             categories={BlockCategory.AI, BlockCategory.TEXT},
             input_schema=AIListGeneratorBlock.Input,
             output_schema=AIListGeneratorBlock.Output,

autogpt_platform/backend/backend/blocks/smart_decision_maker.py

@@ -975,10 +975,28 @@ class SmartDecisionMakerBlock(Block):
         graph_version: int,
         execution_context: ExecutionContext,
         execution_processor: "ExecutionProcessor",
+        nodes_to_skip: set[str] | None = None,
         **kwargs,
     ) -> BlockOutput:
 
         tool_functions = await self._create_tool_node_signatures(node_id)
+        original_tool_count = len(tool_functions)
+
+        # Filter out tools for nodes that should be skipped (e.g., missing optional credentials)
+        if nodes_to_skip:
+            tool_functions = [
+                tf
+                for tf in tool_functions
+                if tf.get("function", {}).get("_sink_node_id") not in nodes_to_skip
+            ]
+
+            # Only raise error if we had tools but they were all filtered out
+            if original_tool_count > 0 and not tool_functions:
+                raise ValueError(
+                    "No available tools to execute - all downstream nodes are unavailable "
+                    "(possibly due to missing optional credentials)"
+                )
+
         yield "tool_functions", json.dumps(tool_functions)
 
         conversation_history = input_data.conversation_history or []

autogpt_platform/backend/backend/data/block.py

@@ -50,6 +50,8 @@ from .model import (
 logger = logging.getLogger(__name__)
 
 if TYPE_CHECKING:
+    from backend.data.execution import ExecutionContext
+
     from .graph import Link
 
 app_config = Config()
@@ -472,6 +474,7 @@ class Block(ABC, Generic[BlockSchemaInputType, BlockSchemaOutputType]):
         self.block_type = block_type
         self.webhook_config = webhook_config
         self.execution_stats: NodeExecutionStats = NodeExecutionStats()
+        self.requires_human_review: bool = False
 
         if self.webhook_config:
             if isinstance(self.webhook_config, BlockWebhookConfig):
@@ -614,7 +617,77 @@ class Block(ABC, Generic[BlockSchemaInputType, BlockSchemaOutputType]):
                     block_id=self.id,
                 ) from ex
 
+    async def is_block_exec_need_review(
+        self,
+        input_data: BlockInput,
+        *,
+        user_id: str,
+        node_exec_id: str,
+        graph_exec_id: str,
+        graph_id: str,
+        graph_version: int,
+        execution_context: "ExecutionContext",
+        **kwargs,
+    ) -> tuple[bool, BlockInput]:
+        """
+        Check if this block execution needs human review and handle the review process.
+
+        Returns:
+            Tuple of (should_pause, input_data_to_use)
+            - should_pause: True if execution should be paused for review
+            - input_data_to_use: The input data to use (may be modified by reviewer)
+        """
+        # Skip review if not required or safe mode is disabled
+        if not self.requires_human_review or not execution_context.safe_mode:
+            return False, input_data
+
+        from backend.blocks.helpers.review import HITLReviewHelper
+
+        # Handle the review request and get decision
+        decision = await HITLReviewHelper.handle_review_decision(
+            input_data=input_data,
+            user_id=user_id,
+            node_exec_id=node_exec_id,
+            graph_exec_id=graph_exec_id,
+            graph_id=graph_id,
+            graph_version=graph_version,
+            execution_context=execution_context,
+            block_name=self.name,
+            editable=True,
+        )
+
+        if decision is None:
+            # We're awaiting review - pause execution
+            return True, input_data
+
+        if not decision.should_proceed:
+            # Review was rejected, raise an error to stop execution
+            raise BlockExecutionError(
+                message=f"Block execution rejected by reviewer: {decision.message}",
+                block_name=self.name,
+                block_id=self.id,
+            )
+
+        # Review was approved - use the potentially modified data
+        # ReviewResult.data must be a dict for block inputs
+        reviewed_data = decision.review_result.data
+        if not isinstance(reviewed_data, dict):
+            raise BlockExecutionError(
+                message=f"Review data must be a dict for block input, got {type(reviewed_data).__name__}",
+                block_name=self.name,
+                block_id=self.id,
+            )
+        return False, reviewed_data
+
     async def _execute(self, input_data: BlockInput, **kwargs) -> BlockOutput:
+        # Check for review requirement and get potentially modified input data
+        should_pause, input_data = await self.is_block_exec_need_review(
+            input_data, **kwargs
+        )
+        if should_pause:
+            return
+
+        # Validate the input data (original or reviewer-modified) once
         if error := self.input_schema.validate_data(input_data):
             raise BlockInputError(
                 message=f"Unable to execute block with invalid input data: {error}",
@@ -622,6 +695,7 @@ class Block(ABC, Generic[BlockSchemaInputType, BlockSchemaOutputType]):
                 block_id=self.id,
             )
 
+        # Use the validated input data
         async for output_name, output_data in self.run(
             self.input_schema(**{k: v for k, v in input_data.items() if v is not None}),
             **kwargs,

autogpt_platform/backend/backend/data/execution.py

@@ -383,6 +383,7 @@ class GraphExecutionWithNodes(GraphExecution):
         self,
         execution_context: ExecutionContext,
         compiled_nodes_input_masks: Optional[NodesInputMasks] = None,
+        nodes_to_skip: Optional[set[str]] = None,
     ):
         return GraphExecutionEntry(
             user_id=self.user_id,
@@ -390,6 +391,7 @@ class GraphExecutionWithNodes(GraphExecution):
             graph_version=self.graph_version or 0,
             graph_exec_id=self.id,
             nodes_input_masks=compiled_nodes_input_masks,
+            nodes_to_skip=nodes_to_skip or set(),
             execution_context=execution_context,
         )
 
@@ -1145,6 +1147,8 @@ class GraphExecutionEntry(BaseModel):
     graph_id: str
     graph_version: int
     nodes_input_masks: Optional[NodesInputMasks] = None
+    nodes_to_skip: set[str] = Field(default_factory=set)
+    """Node IDs that should be skipped due to optional credentials not being configured."""
     execution_context: ExecutionContext = Field(default_factory=ExecutionContext)
 
 

autogpt_platform/backend/backend/data/graph.py

@@ -94,6 +94,15 @@ class Node(BaseDbModel):
     input_links: list[Link] = []
     output_links: list[Link] = []
 
+    @property
+    def credentials_optional(self) -> bool:
+        """
+        Whether credentials are optional for this node.
+        When True and credentials are not configured, the node will be skipped
+        during execution rather than causing a validation error.
+        """
+        return self.metadata.get("credentials_optional", False)
+
     @property
     def block(self) -> AnyBlockSchema | "_UnknownBlockBase":
         """Get the block for this node. Returns UnknownBlock if block is deleted/missing."""
@@ -235,7 +244,10 @@ class BaseGraph(BaseDbModel):
         return any(
             node.block_id
             for node in self.nodes
-            if node.block.block_type == BlockType.HUMAN_IN_THE_LOOP
+            if (
+                node.block.block_type == BlockType.HUMAN_IN_THE_LOOP
+                or node.block.requires_human_review
+            )
         )
 
     @property
@@ -326,7 +338,35 @@ class Graph(BaseGraph):
     @computed_field
     @property
     def credentials_input_schema(self) -> dict[str, Any]:
-        return self._credentials_input_schema.jsonschema()
+        schema = self._credentials_input_schema.jsonschema()
+
+        # Determine which credential fields are required based on credentials_optional metadata
+        graph_credentials_inputs = self.aggregate_credentials_inputs()
+        required_fields = []
+
+        # Build a map of node_id -> node for quick lookup
+        all_nodes = {node.id: node for node in self.nodes}
+        for sub_graph in self.sub_graphs:
+            for node in sub_graph.nodes:
+                all_nodes[node.id] = node
+
+        for field_key, (
+            _field_info,
+            node_field_pairs,
+        ) in graph_credentials_inputs.items():
+            # A field is required if ANY node using it has credentials_optional=False
+            is_required = False
+            for node_id, _field_name in node_field_pairs:
+                node = all_nodes.get(node_id)
+                if node and not node.credentials_optional:
+                    is_required = True
+                    break
+
+            if is_required:
+                required_fields.append(field_key)
+
+        schema["required"] = required_fields
+        return schema
 
     @property
     def _credentials_input_schema(self) -> type[BlockSchema]:

autogpt_platform/backend/backend/data/graph_test.py

@@ -396,3 +396,58 @@ async def test_access_store_listing_graph(server: SpinTestServer):
         created_graph.id, created_graph.version, "3e53486c-cf57-477e-ba2a-cb02dc828e1b"
     )
     assert got_graph is not None
+
+
+# ============================================================================
+# Tests for Optional Credentials Feature
+# ============================================================================
+
+
+def test_node_credentials_optional_default():
+    """Test that credentials_optional defaults to False when not set in metadata."""
+    node = Node(
+        id="test_node",
+        block_id=StoreValueBlock().id,
+        input_default={},
+        metadata={},
+    )
+    assert node.credentials_optional is False
+
+
+def test_node_credentials_optional_true():
+    """Test that credentials_optional returns True when explicitly set."""
+    node = Node(
+        id="test_node",
+        block_id=StoreValueBlock().id,
+        input_default={},
+        metadata={"credentials_optional": True},
+    )
+    assert node.credentials_optional is True
+
+
+def test_node_credentials_optional_false():
+    """Test that credentials_optional returns False when explicitly set to False."""
+    node = Node(
+        id="test_node",
+        block_id=StoreValueBlock().id,
+        input_default={},
+        metadata={"credentials_optional": False},
+    )
+    assert node.credentials_optional is False
+
+
+def test_node_credentials_optional_with_other_metadata():
+    """Test that credentials_optional works correctly with other metadata present."""
+    node = Node(
+        id="test_node",
+        block_id=StoreValueBlock().id,
+        input_default={},
+        metadata={
+            "position": {"x": 100, "y": 200},
+            "customized_name": "My Custom Node",
+            "credentials_optional": True,
+        },
+    )
+    assert node.credentials_optional is True
+    assert node.metadata["position"] == {"x": 100, "y": 200}
+    assert node.metadata["customized_name"] == "My Custom Node"

autogpt_platform/backend/backend/executor/manager.py

@@ -178,6 +178,7 @@ async def execute_node(
     execution_processor: "ExecutionProcessor",
     execution_stats: NodeExecutionStats | None = None,
     nodes_input_masks: Optional[NodesInputMasks] = None,
+    nodes_to_skip: Optional[set[str]] = None,
 ) -> BlockOutput:
     """
     Execute a node in the graph. This will trigger a block execution on a node,
@@ -245,6 +246,7 @@ async def execute_node(
         "user_id": user_id,
         "execution_context": execution_context,
         "execution_processor": execution_processor,
+        "nodes_to_skip": nodes_to_skip or set(),
     }
 
     # Last-minute fetch credentials + acquire a system-wide read-write lock to prevent
@@ -542,6 +544,7 @@ class ExecutionProcessor:
         node_exec_progress: NodeExecutionProgress,
         nodes_input_masks: Optional[NodesInputMasks],
         graph_stats_pair: tuple[GraphExecutionStats, threading.Lock],
+        nodes_to_skip: Optional[set[str]] = None,
     ) -> NodeExecutionStats:
         log_metadata = LogMetadata(
             logger=_logger,
@@ -564,6 +567,7 @@ class ExecutionProcessor:
             db_client=db_client,
             log_metadata=log_metadata,
             nodes_input_masks=nodes_input_masks,
+            nodes_to_skip=nodes_to_skip,
         )
         if isinstance(status, BaseException):
             raise status
@@ -609,6 +613,7 @@ class ExecutionProcessor:
         db_client: "DatabaseManagerAsyncClient",
         log_metadata: LogMetadata,
         nodes_input_masks: Optional[NodesInputMasks] = None,
+        nodes_to_skip: Optional[set[str]] = None,
     ) -> ExecutionStatus:
         status = ExecutionStatus.RUNNING
 
@@ -645,6 +650,7 @@ class ExecutionProcessor:
                 execution_processor=self,
                 execution_stats=stats,
                 nodes_input_masks=nodes_input_masks,
+                nodes_to_skip=nodes_to_skip,
             ):
                 await persist_output(output_name, output_data)
 
@@ -956,6 +962,21 @@ class ExecutionProcessor:
 
                 queued_node_exec = execution_queue.get()
 
+                # Check if this node should be skipped due to optional credentials
+                if queued_node_exec.node_id in graph_exec.nodes_to_skip:
+                    log_metadata.info(
+                        f"Skipping node execution {queued_node_exec.node_exec_id} "
+                        f"for node {queued_node_exec.node_id} - optional credentials not configured"
+                    )
+                    # Mark the node as completed without executing
+                    # No outputs will be produced, so downstream nodes won't trigger
+                    update_node_execution_status(
+                        db_client=db_client,
+                        exec_id=queued_node_exec.node_exec_id,
+                        status=ExecutionStatus.COMPLETED,
+                    )
+                    continue
+
                 log_metadata.debug(
                     f"Dispatching node execution {queued_node_exec.node_exec_id} "
                     f"for node {queued_node_exec.node_id}",
@@ -1016,6 +1037,7 @@ class ExecutionProcessor:
                             execution_stats,
                             execution_stats_lock,
                         ),
+                        nodes_to_skip=graph_exec.nodes_to_skip,
                     ),
                     self.node_execution_loop,
                 )

autogpt_platform/backend/backend/executor/utils.py

@@ -239,14 +239,19 @@ async def _validate_node_input_credentials(
     graph: GraphModel,
     user_id: str,
     nodes_input_masks: Optional[NodesInputMasks] = None,
-) -> dict[str, dict[str, str]]:
+) -> tuple[dict[str, dict[str, str]], set[str]]:
     """
-    Checks all credentials for all nodes of the graph and returns structured errors.
+    Checks all credentials for all nodes of the graph and returns structured errors
+    and a set of nodes that should be skipped due to optional missing credentials.
 
     Returns:
-        dict[node_id, dict[field_name, error_message]]: Credential validation errors per node
+        tuple[
+            dict[node_id, dict[field_name, error_message]]: Credential validation errors per node,
+            set[node_id]: Nodes that should be skipped (optional credentials not configured)
+        ]
     """
     credential_errors: dict[str, dict[str, str]] = defaultdict(dict)
+    nodes_to_skip: set[str] = set()
 
     for node in graph.nodes:
         block = node.block
@@ -256,27 +261,46 @@ async def _validate_node_input_credentials(
         if not credentials_fields:
             continue
 
+        # Track if any credential field is missing for this node
+        has_missing_credentials = False
+
         for field_name, credentials_meta_type in credentials_fields.items():
             try:
+                # Check nodes_input_masks first, then input_default
+                field_value = None
                 if (
                     nodes_input_masks
                     and (node_input_mask := nodes_input_masks.get(node.id))
                     and field_name in node_input_mask
                 ):
-                    credentials_meta = credentials_meta_type.model_validate(
-                        node_input_mask[field_name]
-                    )
+                    field_value = node_input_mask[field_name]
                 elif field_name in node.input_default:
-                    credentials_meta = credentials_meta_type.model_validate(
-                        node.input_default[field_name]
-                    )
-                else:
-                    # Missing credentials
-                    credential_errors[node.id][
-                        field_name
-                    ] = "These credentials are required"
-                    continue
+                    # For optional credentials, don't use input_default - treat as missing
+                    # This prevents stale credential IDs from failing validation
+                    if node.credentials_optional:
+                        field_value = None
+                    else:
+                        field_value = node.input_default[field_name]
+
+                # Check if credentials are missing (None, empty, or not present)
+                if field_value is None or (
+                    isinstance(field_value, dict) and not field_value.get("id")
+                ):
+                    has_missing_credentials = True
+                    # If node has credentials_optional flag, mark for skipping instead of error
+                    if node.credentials_optional:
+                        continue  # Don't add error, will be marked for skip after loop
+                    else:
+                        credential_errors[node.id][
+                            field_name
+                        ] = "These credentials are required"
+                        continue
+
+                credentials_meta = credentials_meta_type.model_validate(field_value)
+
             except ValidationError as e:
+                # Validation error means credentials were provided but invalid
+                # This should always be an error, even if optional
                 credential_errors[node.id][field_name] = f"Invalid credentials: {e}"
                 continue
 
@@ -287,6 +311,7 @@ async def _validate_node_input_credentials(
                 )
             except Exception as e:
                 # Handle any errors fetching credentials
+                # If credentials were explicitly configured but unavailable, it's an error
                 credential_errors[node.id][
                     field_name
                 ] = f"Credentials not available: {e}"
@@ -313,7 +338,19 @@ async def _validate_node_input_credentials(
                 ] = "Invalid credentials: type/provider mismatch"
                 continue
 
-    return credential_errors
+        # If node has optional credentials and any are missing, mark for skipping
+        # But only if there are no other errors for this node
+        if (
+            has_missing_credentials
+            and node.credentials_optional
+            and node.id not in credential_errors
+        ):
+            nodes_to_skip.add(node.id)
+            logger.info(
+                f"Node #{node.id} will be skipped: optional credentials not configured"
+            )
+
+    return credential_errors, nodes_to_skip
 
 
 def make_node_credentials_input_map(
@@ -355,21 +392,25 @@ async def validate_graph_with_credentials(
     graph: GraphModel,
     user_id: str,
     nodes_input_masks: Optional[NodesInputMasks] = None,
-) -> Mapping[str, Mapping[str, str]]:
+) -> tuple[Mapping[str, Mapping[str, str]], set[str]]:
     """
-    Validate graph including credentials and return structured errors per node.
+    Validate graph including credentials and return structured errors per node,
+    along with a set of nodes that should be skipped due to optional missing credentials.
 
     Returns:
-        dict[node_id, dict[field_name, error_message]]: Validation errors per node
+        tuple[
+            dict[node_id, dict[field_name, error_message]]: Validation errors per node,
+            set[node_id]: Nodes that should be skipped (optional credentials not configured)
+        ]
     """
     # Get input validation errors
     node_input_errors = GraphModel.validate_graph_get_errors(
         graph, for_run=True, nodes_input_masks=nodes_input_masks
     )
 
-    # Get credential input/availability/validation errors
-    node_credential_input_errors = await _validate_node_input_credentials(
-        graph, user_id, nodes_input_masks
+    # Get credential input/availability/validation errors and nodes to skip
+    node_credential_input_errors, nodes_to_skip = (
+        await _validate_node_input_credentials(graph, user_id, nodes_input_masks)
     )
 
     # Merge credential errors with structural errors
@@ -378,7 +419,7 @@ async def validate_graph_with_credentials(
             node_input_errors[node_id] = {}
         node_input_errors[node_id].update(field_errors)
 
-    return node_input_errors
+    return node_input_errors, nodes_to_skip
 
 
 async def _construct_starting_node_execution_input(
@@ -386,7 +427,7 @@ async def _construct_starting_node_execution_input(
     user_id: str,
     graph_inputs: BlockInput,
     nodes_input_masks: Optional[NodesInputMasks] = None,
-) -> list[tuple[str, BlockInput]]:
+) -> tuple[list[tuple[str, BlockInput]], set[str]]:
     """
     Validates and prepares the input data for executing a graph.
     This function checks the graph for starting nodes, validates the input data
@@ -400,11 +441,14 @@ async def _construct_starting_node_execution_input(
         node_credentials_map: `dict[node_id, dict[input_name, CredentialsMetaInput]]`
 
     Returns:
-        list[tuple[str, BlockInput]]: A list of tuples, each containing the node ID and
-            the corresponding input data for that node.
+        tuple[
+            list[tuple[str, BlockInput]]: A list of tuples, each containing the node ID
+                and the corresponding input data for that node.
+            set[str]: Node IDs that should be skipped (optional credentials not configured)
+        ]
     """
     # Use new validation function that includes credentials
-    validation_errors = await validate_graph_with_credentials(
+    validation_errors, nodes_to_skip = await validate_graph_with_credentials(
         graph, user_id, nodes_input_masks
     )
     n_error_nodes = len(validation_errors)
@@ -445,7 +489,7 @@ async def _construct_starting_node_execution_input(
             "No starting nodes found for the graph, make sure an AgentInput or blocks with no inbound links are present as starting nodes."
         )
 
-    return nodes_input
+    return nodes_input, nodes_to_skip
 
 
 async def validate_and_construct_node_execution_input(
@@ -456,7 +500,7 @@ async def validate_and_construct_node_execution_input(
     graph_credentials_inputs: Optional[Mapping[str, CredentialsMetaInput]] = None,
     nodes_input_masks: Optional[NodesInputMasks] = None,
     is_sub_graph: bool = False,
-) -> tuple[GraphModel, list[tuple[str, BlockInput]], NodesInputMasks]:
+) -> tuple[GraphModel, list[tuple[str, BlockInput]], NodesInputMasks, set[str]]:
     """
     Public wrapper that handles graph fetching, credential mapping, and validation+construction.
     This centralizes the logic used by both scheduler validation and actual execution.
@@ -473,6 +517,7 @@ async def validate_and_construct_node_execution_input(
         GraphModel: Full graph object for the given `graph_id`.
         list[tuple[node_id, BlockInput]]: Starting node IDs with corresponding inputs.
         dict[str, BlockInput]: Node input masks including all passed-in credentials.
+        set[str]: Node IDs that should be skipped (optional credentials not configured).
 
     Raises:
         NotFoundError: If the graph is not found.
@@ -514,14 +559,16 @@ async def validate_and_construct_node_execution_input(
         nodes_input_masks or {},
     )
 
-    starting_nodes_input = await _construct_starting_node_execution_input(
-        graph=graph,
-        user_id=user_id,
-        graph_inputs=graph_inputs,
-        nodes_input_masks=nodes_input_masks,
+    starting_nodes_input, nodes_to_skip = (
+        await _construct_starting_node_execution_input(
+            graph=graph,
+            user_id=user_id,
+            graph_inputs=graph_inputs,
+            nodes_input_masks=nodes_input_masks,
+        )
     )
 
-    return graph, starting_nodes_input, nodes_input_masks
+    return graph, starting_nodes_input, nodes_input_masks, nodes_to_skip
 
 
 def _merge_nodes_input_masks(
@@ -779,6 +826,9 @@ async def add_graph_execution(
 
         # Use existing execution's compiled input masks
         compiled_nodes_input_masks = graph_exec.nodes_input_masks or {}
+        # For resumed executions, nodes_to_skip was already determined at creation time
+        # TODO: Consider storing nodes_to_skip in DB if we need to preserve it across resumes
+        nodes_to_skip: set[str] = set()
 
         logger.info(f"Resuming graph execution #{graph_exec.id} for graph #{graph_id}")
     else:
@@ -787,7 +837,7 @@ async def add_graph_execution(
         )
 
         # Create new execution
-        graph, starting_nodes_input, compiled_nodes_input_masks = (
+        graph, starting_nodes_input, compiled_nodes_input_masks, nodes_to_skip = (
             await validate_and_construct_node_execution_input(
                 graph_id=graph_id,
                 user_id=user_id,
@@ -836,6 +886,7 @@ async def add_graph_execution(
     try:
         graph_exec_entry = graph_exec.to_graph_execution_entry(
             compiled_nodes_input_masks=compiled_nodes_input_masks,
+            nodes_to_skip=nodes_to_skip,
             execution_context=execution_context,
         )
         logger.info(f"Publishing execution {graph_exec.id} to execution queue")

autogpt_platform/backend/backend/executor/utils_test.py

@@ -367,10 +367,13 @@ async def test_add_graph_execution_is_repeatable(mocker: MockerFixture):
     )
 
     # Setup mock returns
+    # The function returns (graph, starting_nodes_input, compiled_nodes_input_masks, nodes_to_skip)
+    nodes_to_skip: set[str] = set()
     mock_validate.return_value = (
         mock_graph,
         starting_nodes_input,
         compiled_nodes_input_masks,
+        nodes_to_skip,
     )
     mock_prisma.is_connected.return_value = True
     mock_edb.create_graph_execution = mocker.AsyncMock(return_value=mock_graph_exec)
@@ -456,3 +459,212 @@ async def test_add_graph_execution_is_repeatable(mocker: MockerFixture):
     # Both executions should succeed (though they create different objects)
     assert result1 == mock_graph_exec
     assert result2 == mock_graph_exec_2
+
+
+# ============================================================================
+# Tests for Optional Credentials Feature
+# ============================================================================
+
+
+@pytest.mark.asyncio
+async def test_validate_node_input_credentials_returns_nodes_to_skip(
+    mocker: MockerFixture,
+):
+    """
+    Test that _validate_node_input_credentials returns nodes_to_skip set
+    for nodes with credentials_optional=True and missing credentials.
+    """
+    from backend.executor.utils import _validate_node_input_credentials
+
+    # Create a mock node with credentials_optional=True
+    mock_node = mocker.MagicMock()
+    mock_node.id = "node-with-optional-creds"
+    mock_node.credentials_optional = True
+    mock_node.input_default = {}  # No credentials configured
+
+    # Create a mock block with credentials field
+    mock_block = mocker.MagicMock()
+    mock_credentials_field_type = mocker.MagicMock()
+    mock_block.input_schema.get_credentials_fields.return_value = {
+        "credentials": mock_credentials_field_type
+    }
+    mock_node.block = mock_block
+
+    # Create mock graph
+    mock_graph = mocker.MagicMock()
+    mock_graph.nodes = [mock_node]
+
+    # Call the function
+    errors, nodes_to_skip = await _validate_node_input_credentials(
+        graph=mock_graph,
+        user_id="test-user-id",
+        nodes_input_masks=None,
+    )
+
+    # Node should be in nodes_to_skip, not in errors
+    assert mock_node.id in nodes_to_skip
+    assert mock_node.id not in errors
+
+
+@pytest.mark.asyncio
+async def test_validate_node_input_credentials_required_missing_creds_error(
+    mocker: MockerFixture,
+):
+    """
+    Test that _validate_node_input_credentials returns errors
+    for nodes with credentials_optional=False and missing credentials.
+    """
+    from backend.executor.utils import _validate_node_input_credentials
+
+    # Create a mock node with credentials_optional=False (required)
+    mock_node = mocker.MagicMock()
+    mock_node.id = "node-with-required-creds"
+    mock_node.credentials_optional = False
+    mock_node.input_default = {}  # No credentials configured
+
+    # Create a mock block with credentials field
+    mock_block = mocker.MagicMock()
+    mock_credentials_field_type = mocker.MagicMock()
+    mock_block.input_schema.get_credentials_fields.return_value = {
+        "credentials": mock_credentials_field_type
+    }
+    mock_node.block = mock_block
+
+    # Create mock graph
+    mock_graph = mocker.MagicMock()
+    mock_graph.nodes = [mock_node]
+
+    # Call the function
+    errors, nodes_to_skip = await _validate_node_input_credentials(
+        graph=mock_graph,
+        user_id="test-user-id",
+        nodes_input_masks=None,
+    )
+
+    # Node should be in errors, not in nodes_to_skip
+    assert mock_node.id in errors
+    assert "credentials" in errors[mock_node.id]
+    assert "required" in errors[mock_node.id]["credentials"].lower()
+    assert mock_node.id not in nodes_to_skip
+
+
+@pytest.mark.asyncio
+async def test_validate_graph_with_credentials_returns_nodes_to_skip(
+    mocker: MockerFixture,
+):
+    """
+    Test that validate_graph_with_credentials returns nodes_to_skip set
+    from _validate_node_input_credentials.
+    """
+    from backend.executor.utils import validate_graph_with_credentials
+
+    # Mock _validate_node_input_credentials to return specific values
+    mock_validate = mocker.patch(
+        "backend.executor.utils._validate_node_input_credentials"
+    )
+    expected_errors = {"node1": {"field": "error"}}
+    expected_nodes_to_skip = {"node2", "node3"}
+    mock_validate.return_value = (expected_errors, expected_nodes_to_skip)
+
+    # Mock GraphModel with validate_graph_get_errors method
+    mock_graph = mocker.MagicMock()
+    mock_graph.validate_graph_get_errors.return_value = {}
+
+    # Call the function
+    errors, nodes_to_skip = await validate_graph_with_credentials(
+        graph=mock_graph,
+        user_id="test-user-id",
+        nodes_input_masks=None,
+    )
+
+    # Verify nodes_to_skip is passed through
+    assert nodes_to_skip == expected_nodes_to_skip
+    assert "node1" in errors
+
+
+@pytest.mark.asyncio
+async def test_add_graph_execution_with_nodes_to_skip(mocker: MockerFixture):
+    """
+    Test that add_graph_execution properly passes nodes_to_skip
+    to the graph execution entry.
+    """
+    from backend.data.execution import GraphExecutionWithNodes
+    from backend.executor.utils import add_graph_execution
+
+    # Mock data
+    graph_id = "test-graph-id"
+    user_id = "test-user-id"
+    inputs = {"test_input": "test_value"}
+    graph_version = 1
+
+    # Mock the graph object
+    mock_graph = mocker.MagicMock()
+    mock_graph.version = graph_version
+
+    # Starting nodes and masks
+    starting_nodes_input = [("node1", {"input1": "value1"})]
+    compiled_nodes_input_masks = {}
+    nodes_to_skip = {"skipped-node-1", "skipped-node-2"}
+
+    # Mock the graph execution object
+    mock_graph_exec = mocker.MagicMock(spec=GraphExecutionWithNodes)
+    mock_graph_exec.id = "execution-id-123"
+    mock_graph_exec.node_executions = []
+
+    # Track what's passed to to_graph_execution_entry
+    captured_kwargs = {}
+
+    def capture_to_entry(**kwargs):
+        captured_kwargs.update(kwargs)
+        return mocker.MagicMock()
+
+    mock_graph_exec.to_graph_execution_entry.side_effect = capture_to_entry
+
+    # Setup mocks
+    mock_validate = mocker.patch(
+        "backend.executor.utils.validate_and_construct_node_execution_input"
+    )
+    mock_edb = mocker.patch("backend.executor.utils.execution_db")
+    mock_prisma = mocker.patch("backend.executor.utils.prisma")
+    mock_udb = mocker.patch("backend.executor.utils.user_db")
+    mock_gdb = mocker.patch("backend.executor.utils.graph_db")
+    mock_get_queue = mocker.patch("backend.executor.utils.get_async_execution_queue")
+    mock_get_event_bus = mocker.patch(
+        "backend.executor.utils.get_async_execution_event_bus"
+    )
+
+    # Setup returns - include nodes_to_skip in the tuple
+    mock_validate.return_value = (
+        mock_graph,
+        starting_nodes_input,
+        compiled_nodes_input_masks,
+        nodes_to_skip,  # This should be passed through
+    )
+    mock_prisma.is_connected.return_value = True
+    mock_edb.create_graph_execution = mocker.AsyncMock(return_value=mock_graph_exec)
+    mock_edb.update_graph_execution_stats = mocker.AsyncMock(
+        return_value=mock_graph_exec
+    )
+    mock_edb.update_node_execution_status_batch = mocker.AsyncMock()
+
+    mock_user = mocker.MagicMock()
+    mock_user.timezone = "UTC"
+    mock_settings = mocker.MagicMock()
+    mock_settings.human_in_the_loop_safe_mode = True
+
+    mock_udb.get_user_by_id = mocker.AsyncMock(return_value=mock_user)
+    mock_gdb.get_graph_settings = mocker.AsyncMock(return_value=mock_settings)
+    mock_get_queue.return_value = mocker.AsyncMock()
+    mock_get_event_bus.return_value = mocker.MagicMock(publish=mocker.AsyncMock())
+
+    # Call the function
+    await add_graph_execution(
+        graph_id=graph_id,
+        user_id=user_id,
+        inputs=inputs,
+        graph_version=graph_version,
+    )
+
+    # Verify nodes_to_skip was passed to to_graph_execution_entry
+    assert "nodes_to_skip" in captured_kwargs
+    assert captured_kwargs["nodes_to_skip"] == nodes_to_skip

autogpt_platform/backend/backend/integrations/oauth/__init__.py

@@ -8,6 +8,7 @@ from .discord import DiscordOAuthHandler
 from .github import GitHubOAuthHandler
 from .google import GoogleOAuthHandler
 from .notion import NotionOAuthHandler
+from .reddit import RedditOAuthHandler
 from .twitter import TwitterOAuthHandler
 
 if TYPE_CHECKING:
@@ -20,6 +21,7 @@ _ORIGINAL_HANDLERS = [
     GitHubOAuthHandler,
     GoogleOAuthHandler,
     NotionOAuthHandler,
+    RedditOAuthHandler,
     TwitterOAuthHandler,
     TodoistOAuthHandler,
 ]

autogpt_platform/backend/backend/integrations/oauth/reddit.py

@@ -0,0 +1,208 @@
+import time
+import urllib.parse
+from typing import ClassVar, Optional
+
+from pydantic import SecretStr
+
+from backend.data.model import OAuth2Credentials
+from backend.integrations.oauth.base import BaseOAuthHandler
+from backend.integrations.providers import ProviderName
+from backend.util.request import Requests
+from backend.util.settings import Settings
+
+settings = Settings()
+
+
+class RedditOAuthHandler(BaseOAuthHandler):
+    """
+    Reddit OAuth 2.0 handler.
+
+    Based on the documentation at:
+    - https://github.com/reddit-archive/reddit/wiki/OAuth2
+
+    Notes:
+    - Reddit requires `duration=permanent` to get refresh tokens
+    - Access tokens expire after 1 hour (3600 seconds)
+    - Reddit requires HTTP Basic Auth for token requests
+    - Reddit requires a unique User-Agent header
+    """
+
+    PROVIDER_NAME = ProviderName.REDDIT
+    DEFAULT_SCOPES: ClassVar[list[str]] = [
+        "identity",  # Get username, verify auth
+        "read",  # Access posts and comments
+        "submit",  # Submit new posts and comments
+        "edit",  # Edit own posts and comments
+        "history",  # Access user's post history
+        "privatemessages",  # Access inbox and send private messages
+        "flair",  # Access and set flair on posts/subreddits
+    ]
+
+    AUTHORIZE_URL = "https://www.reddit.com/api/v1/authorize"
+    TOKEN_URL = "https://www.reddit.com/api/v1/access_token"
+    USERNAME_URL = "https://oauth.reddit.com/api/v1/me"
+    REVOKE_URL = "https://www.reddit.com/api/v1/revoke_token"
+
+    def __init__(self, client_id: str, client_secret: str, redirect_uri: str):
+        self.client_id = client_id
+        self.client_secret = client_secret
+        self.redirect_uri = redirect_uri
+
+    def get_login_url(
+        self, scopes: list[str], state: str, code_challenge: Optional[str]
+    ) -> str:
+        """Generate Reddit OAuth 2.0 authorization URL"""
+        scopes = self.handle_default_scopes(scopes)
+
+        params = {
+            "response_type": "code",
+            "client_id": self.client_id,
+            "redirect_uri": self.redirect_uri,
+            "scope": " ".join(scopes),
+            "state": state,
+            "duration": "permanent",  # Required for refresh tokens
+        }
+
+        return f"{self.AUTHORIZE_URL}?{urllib.parse.urlencode(params)}"
+
+    async def exchange_code_for_tokens(
+        self, code: str, scopes: list[str], code_verifier: Optional[str]
+    ) -> OAuth2Credentials:
+        """Exchange authorization code for access tokens"""
+        scopes = self.handle_default_scopes(scopes)
+
+        headers = {
+            "Content-Type": "application/x-www-form-urlencoded",
+            "User-Agent": settings.config.reddit_user_agent,
+        }
+
+        data = {
+            "grant_type": "authorization_code",
+            "code": code,
+            "redirect_uri": self.redirect_uri,
+        }
+
+        # Reddit requires HTTP Basic Auth for token requests
+        auth = (self.client_id, self.client_secret)
+
+        response = await Requests().post(
+            self.TOKEN_URL, headers=headers, data=data, auth=auth
+        )
+
+        if not response.ok:
+            error_text = response.text()
+            raise ValueError(
+                f"Reddit token exchange failed: {response.status} - {error_text}"
+            )
+
+        tokens = response.json()
+
+        if "error" in tokens:
+            raise ValueError(f"Reddit OAuth error: {tokens.get('error')}")
+
+        username = await self._get_username(tokens["access_token"])
+
+        return OAuth2Credentials(
+            provider=self.PROVIDER_NAME,
+            title=None,
+            username=username,
+            access_token=tokens["access_token"],
+            refresh_token=tokens.get("refresh_token"),
+            access_token_expires_at=int(time.time()) + tokens.get("expires_in", 3600),
+            refresh_token_expires_at=None,  # Reddit refresh tokens don't expire
+            scopes=scopes,
+        )
+
+    async def _get_username(self, access_token: str) -> str:
+        """Get the username from the access token"""
+        headers = {
+            "Authorization": f"Bearer {access_token}",
+            "User-Agent": settings.config.reddit_user_agent,
+        }
+
+        response = await Requests().get(self.USERNAME_URL, headers=headers)
+
+        if not response.ok:
+            raise ValueError(f"Failed to get Reddit username: {response.status}")
+
+        data = response.json()
+        return data.get("name", "unknown")
+
+    async def _refresh_tokens(
+        self, credentials: OAuth2Credentials
+    ) -> OAuth2Credentials:
+        """Refresh access tokens using refresh token"""
+        if not credentials.refresh_token:
+            raise ValueError("No refresh token available")
+
+        headers = {
+            "Content-Type": "application/x-www-form-urlencoded",
+            "User-Agent": settings.config.reddit_user_agent,
+        }
+
+        data = {
+            "grant_type": "refresh_token",
+            "refresh_token": credentials.refresh_token.get_secret_value(),
+        }
+
+        auth = (self.client_id, self.client_secret)
+
+        response = await Requests().post(
+            self.TOKEN_URL, headers=headers, data=data, auth=auth
+        )
+
+        if not response.ok:
+            error_text = response.text()
+            raise ValueError(
+                f"Reddit token refresh failed: {response.status} - {error_text}"
+            )
+
+        tokens = response.json()
+
+        if "error" in tokens:
+            raise ValueError(f"Reddit OAuth error: {tokens.get('error')}")
+
+        username = await self._get_username(tokens["access_token"])
+
+        # Reddit may or may not return a new refresh token
+        new_refresh_token = tokens.get("refresh_token")
+        if new_refresh_token:
+            refresh_token: SecretStr | None = SecretStr(new_refresh_token)
+        elif credentials.refresh_token:
+            # Keep the existing refresh token
+            refresh_token = credentials.refresh_token
+        else:
+            refresh_token = None
+
+        return OAuth2Credentials(
+            id=credentials.id,
+            provider=self.PROVIDER_NAME,
+            title=credentials.title,
+            username=username,
+            access_token=tokens["access_token"],
+            refresh_token=refresh_token,
+            access_token_expires_at=int(time.time()) + tokens.get("expires_in", 3600),
+            refresh_token_expires_at=None,
+            scopes=credentials.scopes,
+        )
+
+    async def revoke_tokens(self, credentials: OAuth2Credentials) -> bool:
+        """Revoke the access token"""
+        headers = {
+            "Content-Type": "application/x-www-form-urlencoded",
+            "User-Agent": settings.config.reddit_user_agent,
+        }
+
+        data = {
+            "token": credentials.access_token.get_secret_value(),
+            "token_type_hint": "access_token",
+        }
+
+        auth = (self.client_id, self.client_secret)
+
+        response = await Requests().post(
+            self.REVOKE_URL, headers=headers, data=data, auth=auth
+        )
+
+        # Reddit returns 204 No Content on successful revocation
+        return response.ok

autogpt_platform/backend/backend/util/settings.py

@@ -264,7 +264,7 @@ class Config(UpdateTrackingModel["Config"], BaseSettings):
     )
 
     reddit_user_agent: str = Field(
-        default="AutoGPT:1.0 (by /u/autogpt)",
+        default="web:AutoGPT:v0.6.0 (by /u/autogpt)",
         description="The user agent for the Reddit API",
     )
 

autogpt_platform/backend/gen_prisma_types_stub.py

@@ -0,0 +1,227 @@
+#!/usr/bin/env python3
+"""
+Generate a lightweight stub for prisma/types.py that collapses all exported
+symbols to Any. This prevents Pyright from spending time/budget on Prisma's
+query DSL types while keeping runtime behavior unchanged.
+
+Usage:
+    poetry run gen-prisma-stub
+
+This script automatically finds the prisma package location and generates
+the types.pyi stub file in the same directory as types.py.
+"""
+
+from __future__ import annotations
+
+import ast
+import importlib.util
+import sys
+from pathlib import Path
+from typing import Iterable, Set
+
+
+def _iter_assigned_names(target: ast.expr) -> Iterable[str]:
+    """Extract names from assignment targets (handles tuple unpacking)."""
+    if isinstance(target, ast.Name):
+        yield target.id
+    elif isinstance(target, (ast.Tuple, ast.List)):
+        for elt in target.elts:
+            yield from _iter_assigned_names(elt)
+
+
+def _is_private(name: str) -> bool:
+    """Check if a name is private (starts with _ but not __)."""
+    return name.startswith("_") and not name.startswith("__")
+
+
+def _is_safe_type_alias(node: ast.Assign) -> bool:
+    """Check if an assignment is a safe type alias that shouldn't be stubbed.
+
+    Safe types are:
+    - Literal types (don't cause type budget issues)
+    - Simple type references (SortMode, SortOrder, etc.)
+    - TypeVar definitions
+    """
+    if not node.value:
+        return False
+
+    # Check if it's a Subscript (like Literal[...], Union[...], TypeVar[...])
+    if isinstance(node.value, ast.Subscript):
+        # Get the base type name
+        if isinstance(node.value.value, ast.Name):
+            base_name = node.value.value.id
+            # Literal types are safe
+            if base_name == "Literal":
+                return True
+            # TypeVar is safe
+            if base_name == "TypeVar":
+                return True
+        elif isinstance(node.value.value, ast.Attribute):
+            # Handle typing_extensions.Literal etc.
+            if node.value.value.attr == "Literal":
+                return True
+
+    # Check if it's a simple Name reference (like SortMode = _types.SortMode)
+    if isinstance(node.value, ast.Attribute):
+        return True
+
+    # Check if it's a Call (like TypeVar(...))
+    if isinstance(node.value, ast.Call):
+        if isinstance(node.value.func, ast.Name):
+            if node.value.func.id == "TypeVar":
+                return True
+
+    return False
+
+
+def collect_top_level_symbols(
+    tree: ast.Module, source_lines: list[str]
+) -> tuple[Set[str], Set[str], list[str], Set[str]]:
+    """Collect all top-level symbols from an AST module.
+
+    Returns:
+        Tuple of (class_names, function_names, safe_variable_sources, unsafe_variable_names)
+        safe_variable_sources contains the actual source code lines for safe variables
+    """
+    classes: Set[str] = set()
+    functions: Set[str] = set()
+    safe_variable_sources: list[str] = []
+    unsafe_variables: Set[str] = set()
+
+    for node in tree.body:
+        if isinstance(node, ast.ClassDef):
+            if not _is_private(node.name):
+                classes.add(node.name)
+        elif isinstance(node, (ast.FunctionDef, ast.AsyncFunctionDef)):
+            if not _is_private(node.name):
+                functions.add(node.name)
+        elif isinstance(node, ast.Assign):
+            is_safe = _is_safe_type_alias(node)
+            names = []
+            for t in node.targets:
+                for n in _iter_assigned_names(t):
+                    if not _is_private(n):
+                        names.append(n)
+            if names:
+                if is_safe:
+                    # Extract the source code for this assignment
+                    start_line = node.lineno - 1  # 0-indexed
+                    end_line = node.end_lineno if node.end_lineno else node.lineno
+                    source = "\n".join(source_lines[start_line:end_line])
+                    safe_variable_sources.append(source)
+                else:
+                    unsafe_variables.update(names)
+        elif isinstance(node, ast.AnnAssign) and node.target:
+            # Annotated assignments are always stubbed
+            for n in _iter_assigned_names(node.target):
+                if not _is_private(n):
+                    unsafe_variables.add(n)
+
+    return classes, functions, safe_variable_sources, unsafe_variables
+
+
+def find_prisma_types_path() -> Path:
+    """Find the prisma types.py file in the installed package."""
+    spec = importlib.util.find_spec("prisma")
+    if spec is None or spec.origin is None:
+        raise RuntimeError("Could not find prisma package. Is it installed?")
+
+    prisma_dir = Path(spec.origin).parent
+    types_path = prisma_dir / "types.py"
+
+    if not types_path.exists():
+        raise RuntimeError(f"prisma/types.py not found at {types_path}")
+
+    return types_path
+
+
+def generate_stub(src_path: Path, stub_path: Path) -> int:
+    """Generate the .pyi stub file from the source types.py."""
+    code = src_path.read_text(encoding="utf-8", errors="ignore")
+    source_lines = code.splitlines()
+    tree = ast.parse(code, filename=str(src_path))
+    classes, functions, safe_variable_sources, unsafe_variables = (
+        collect_top_level_symbols(tree, source_lines)
+    )
+
+    header = """\
+# -*- coding: utf-8 -*-
+# Auto-generated stub file - DO NOT EDIT
+# Generated by gen_prisma_types_stub.py
+#
+# This stub intentionally collapses complex Prisma query DSL types to Any.
+# Prisma's generated types can explode Pyright's type inference budgets
+# on large schemas. We collapse them to Any so the rest of the codebase
+# can remain strongly typed while keeping runtime behavior unchanged.
+#
+# Safe types (Literal, TypeVar, simple references) are preserved from the
+# original types.py to maintain proper type checking where possible.
+
+from __future__ import annotations
+from typing import Any
+from typing_extensions import Literal
+
+# Re-export commonly used typing constructs that may be imported from this module
+from typing import TYPE_CHECKING, TypeVar, Generic, Union, Optional, List, Dict
+
+# Base type alias for stubbed Prisma types - allows any dict structure
+_PrismaDict = dict[str, Any]
+
+"""
+
+    lines = [header]
+
+    # Include safe variable definitions (Literal types, TypeVars, etc.)
+    lines.append("# Safe type definitions preserved from original types.py")
+    for source in safe_variable_sources:
+        lines.append(source)
+    lines.append("")
+
+    # Stub all classes and unsafe variables uniformly as dict[str, Any] aliases
+    # This allows:
+    # 1. Use in type annotations: x: SomeType
+    # 2. Constructor calls: SomeType(...)
+    # 3. Dict literal assignments: x: SomeType = {...}
+    lines.append(
+        "# Stubbed types (collapsed to dict[str, Any] to prevent type budget exhaustion)"
+    )
+    all_stubbed = sorted(classes | unsafe_variables)
+    for name in all_stubbed:
+        lines.append(f"{name} = _PrismaDict")
+
+    lines.append("")
+
+    # Stub functions
+    for name in sorted(functions):
+        lines.append(f"def {name}(*args: Any, **kwargs: Any) -> Any: ...")
+
+    lines.append("")
+
+    stub_path.write_text("\n".join(lines), encoding="utf-8")
+    return (
+        len(classes)
+        + len(functions)
+        + len(safe_variable_sources)
+        + len(unsafe_variables)
+    )
+
+
+def main() -> None:
+    """Main entry point."""
+    try:
+        types_path = find_prisma_types_path()
+        stub_path = types_path.with_suffix(".pyi")
+
+        print(f"Found prisma types.py at: {types_path}")
+        print(f"Generating stub at: {stub_path}")
+
+        num_symbols = generate_stub(types_path, stub_path)
+        print(f"Generated {stub_path.name} with {num_symbols} Any-typed symbols")
+
+    except Exception as e:
+        print(f"Error: {e}", file=sys.stderr)
+        sys.exit(1)
+
+
+if __name__ == "__main__":
+    main()

autogpt_platform/backend/linter.py

@@ -25,6 +25,9 @@ def run(*command: str) -> None:
 
 
 def lint():
+    # Generate Prisma types stub before running pyright to prevent type budget exhaustion
+    run("gen-prisma-stub")
+
     lint_step_args: list[list[str]] = [
         ["ruff", "check", *TARGET_DIRS, "--exit-zero"],
         ["ruff", "format", "--diff", "--check", LIBS_DIR],
@@ -49,4 +52,6 @@ def format():
     run("ruff", "format", LIBS_DIR)
     run("isort", "--profile", "black", BACKEND_DIR)
     run("black", BACKEND_DIR)
+    # Generate Prisma types stub before running pyright to prevent type budget exhaustion
+    run("gen-prisma-stub")
     run("pyright", *TARGET_DIRS)

autogpt_platform/backend/pyproject.toml

@@ -117,6 +117,7 @@ lint = "linter:lint"
 test = "run_tests:test"
 load-store-agents = "test.load_store_agents:run"
 export-api-schema = "backend.cli.generate_openapi_json:main"
+gen-prisma-stub = "gen_prisma_types_stub:main"
 oauth-tool = "backend.cli.oauth_tool:cli"
 
 [tool.isort]
@@ -134,6 +135,9 @@ ignore_patterns = []
 [tool.pytest.ini_options]
 asyncio_mode = "auto"
 asyncio_default_fixture_loop_scope = "session"
+# Disable syrupy plugin to avoid conflict with pytest-snapshot
+# Both provide --snapshot-update argument causing ArgumentError
+addopts = "-p no:syrupy"
 filterwarnings = [
     "ignore:'audioop' is deprecated:DeprecationWarning:discord.player",
     "ignore:invalid escape sequence:DeprecationWarning:tweepy.api",

autogpt_platform/backend/scripts/generate_block_docs.py

@@ -0,0 +1,746 @@
+#!/usr/bin/env python3
+"""
+Block Documentation Generator
+
+Generates markdown documentation for all blocks from code introspection.
+Preserves manually-written content between marker comments.
+
+Usage:
+    # Generate all docs
+    poetry run python scripts/generate_block_docs.py
+
+    # Check mode for CI (exits 1 if stale)
+    poetry run python scripts/generate_block_docs.py --check
+
+    # Migrate existing docs (add markers, preserve content)
+    poetry run python scripts/generate_block_docs.py --migrate
+
+    # Verbose output
+    poetry run python scripts/generate_block_docs.py -v
+"""
+
+import argparse
+import inspect
+import logging
+import re
+import sys
+from collections import defaultdict
+from dataclasses import dataclass, field
+from pathlib import Path
+from typing import Any
+
+# Add backend to path for imports
+backend_dir = Path(__file__).parent.parent
+sys.path.insert(0, str(backend_dir))
+
+logger = logging.getLogger(__name__)
+
+# Default output directory relative to repo root
+DEFAULT_OUTPUT_DIR = (
+    Path(__file__).parent.parent.parent.parent / "docs" / "platform" / "blocks"
+)
+
+
+@dataclass
+class FieldDoc:
+    """Documentation for a single input/output field."""
+
+    name: str
+    description: str
+    type_str: str
+    required: bool
+    default: Any = None
+    advanced: bool = False
+    hidden: bool = False
+    placeholder: str | None = None
+
+
+@dataclass
+class BlockDoc:
+    """Documentation data extracted from a block."""
+
+    id: str
+    name: str
+    class_name: str
+    description: str
+    categories: list[str]
+    category_descriptions: dict[str, str]
+    inputs: list[FieldDoc]
+    outputs: list[FieldDoc]
+    block_type: str
+    source_file: str
+    contributors: list[str] = field(default_factory=list)
+
+
+# Category to human-readable name mapping
+CATEGORY_DISPLAY_NAMES = {
+    "AI": "AI and Language Models",
+    "BASIC": "Basic Operations",
+    "TEXT": "Text Processing",
+    "SEARCH": "Search and Information Retrieval",
+    "SOCIAL": "Social Media and Content",
+    "DEVELOPER_TOOLS": "Developer Tools",
+    "DATA": "Data Processing",
+    "LOGIC": "Logic and Control Flow",
+    "COMMUNICATION": "Communication",
+    "INPUT": "Input/Output",
+    "OUTPUT": "Input/Output",
+    "MULTIMEDIA": "Media Generation",
+    "PRODUCTIVITY": "Productivity",
+    "HARDWARE": "Hardware",
+    "AGENT": "Agent Integration",
+    "CRM": "CRM Services",
+    "SAFETY": "AI Safety",
+    "ISSUE_TRACKING": "Issue Tracking",
+    "MARKETING": "Marketing",
+}
+
+# Category to doc file mapping (for grouping related blocks)
+CATEGORY_FILE_MAP = {
+    "BASIC": "basic",
+    "TEXT": "text",
+    "AI": "llm",
+    "SEARCH": "search",
+    "DATA": "data",
+    "LOGIC": "logic",
+    "COMMUNICATION": "communication",
+    "MULTIMEDIA": "multimedia",
+    "PRODUCTIVITY": "productivity",
+}
+
+
+def class_name_to_display_name(class_name: str) -> str:
+    """Convert BlockClassName to 'Block Class Name'."""
+    # Remove 'Block' suffix
+    name = class_name.replace("Block", "")
+    # Insert space before capitals
+    name = re.sub(r"([a-z])([A-Z])", r"\1 \2", name)
+    # Handle consecutive capitals (e.g., 'HTTPRequest' -> 'HTTP Request')
+    name = re.sub(r"([A-Z]+)([A-Z][a-z])", r"\1 \2", name)
+    return name.strip()
+
+
+def type_to_readable(type_schema: dict[str, Any]) -> str:
+    """Convert JSON schema type to human-readable string."""
+    if not isinstance(type_schema, dict):
+        return str(type_schema) if type_schema else "Any"
+
+    if "anyOf" in type_schema:
+        # Union type - show options
+        any_of = type_schema["anyOf"]
+        if not isinstance(any_of, list):
+            return "Any"
+        options = []
+        for opt in any_of:
+            if isinstance(opt, dict) and opt.get("type") == "null":
+                continue
+            options.append(type_to_readable(opt))
+        if len(options) == 1:
+            return options[0]
+        return " | ".join(options)
+
+    if "allOf" in type_schema:
+        all_of = type_schema["allOf"]
+        if not isinstance(all_of, list) or not all_of:
+            return "Any"
+        return type_to_readable(all_of[0])
+
+    schema_type = type_schema.get("type")
+
+    if schema_type == "array":
+        items = type_schema.get("items", {})
+        item_type = type_to_readable(items)
+        return f"List[{item_type}]"
+
+    if schema_type == "object":
+        if "additionalProperties" in type_schema:
+            value_type = type_to_readable(type_schema["additionalProperties"])
+            return f"Dict[str, {value_type}]"
+        # Check if it's a specific model
+        title = type_schema.get("title", "Object")
+        return title
+
+    if schema_type == "string":
+        if "enum" in type_schema:
+            return " | ".join(f'"{v}"' for v in type_schema["enum"][:3])
+        if "format" in type_schema:
+            return f"str ({type_schema['format']})"
+        return "str"
+
+    if schema_type == "integer":
+        return "int"
+
+    if schema_type == "number":
+        return "float"
+
+    if schema_type == "boolean":
+        return "bool"
+
+    if schema_type == "null":
+        return "None"
+
+    # Fallback
+    return type_schema.get("title", schema_type or "Any")
+
+
+def safe_get(d: Any, key: str, default: Any = None) -> Any:
+    """Safely get a value from a dict-like object."""
+    if isinstance(d, dict):
+        return d.get(key, default)
+    return default
+
+
+def extract_block_doc(block_cls: type) -> BlockDoc:
+    """Extract documentation data from a block class."""
+    block = block_cls.create()
+
+    # Get source file
+    try:
+        source_file = inspect.getfile(block_cls)
+        # Make relative to blocks directory
+        blocks_dir = Path(source_file).parent
+        while blocks_dir.name != "blocks" and blocks_dir.parent != blocks_dir:
+            blocks_dir = blocks_dir.parent
+        source_file = str(Path(source_file).relative_to(blocks_dir.parent))
+    except (TypeError, ValueError):
+        source_file = "unknown"
+
+    # Extract input fields
+    input_schema = block.input_schema.jsonschema()
+    input_properties = safe_get(input_schema, "properties", {})
+    if not isinstance(input_properties, dict):
+        input_properties = {}
+    required_raw = safe_get(input_schema, "required", [])
+    # Handle edge cases where required might not be a list
+    if isinstance(required_raw, (list, set, tuple)):
+        required_inputs = set(required_raw)
+    else:
+        required_inputs = set()
+
+    inputs = []
+    for field_name, field_schema in input_properties.items():
+        if not isinstance(field_schema, dict):
+            continue
+        # Skip credentials fields in docs (they're auto-handled)
+        if "credentials" in field_name.lower():
+            continue
+
+        inputs.append(
+            FieldDoc(
+                name=field_name,
+                description=safe_get(field_schema, "description", ""),
+                type_str=type_to_readable(field_schema),
+                required=field_name in required_inputs,
+                default=safe_get(field_schema, "default"),
+                advanced=safe_get(field_schema, "advanced", False) or False,
+                hidden=safe_get(field_schema, "hidden", False) or False,
+                placeholder=safe_get(field_schema, "placeholder"),
+            )
+        )
+
+    # Extract output fields
+    output_schema = block.output_schema.jsonschema()
+    output_properties = safe_get(output_schema, "properties", {})
+    if not isinstance(output_properties, dict):
+        output_properties = {}
+
+    outputs = []
+    for field_name, field_schema in output_properties.items():
+        if not isinstance(field_schema, dict):
+            continue
+        outputs.append(
+            FieldDoc(
+                name=field_name,
+                description=safe_get(field_schema, "description", ""),
+                type_str=type_to_readable(field_schema),
+                required=True,  # Outputs are always produced
+                hidden=safe_get(field_schema, "hidden", False) or False,
+            )
+        )
+
+    # Get category info (sort for deterministic ordering since it's a set)
+    categories = []
+    category_descriptions = {}
+    for cat in sorted(block.categories, key=lambda c: c.name):
+        categories.append(cat.name)
+        category_descriptions[cat.name] = cat.value
+
+    # Get contributors
+    contributors = []
+    for contrib in block.contributors:
+        contributors.append(contrib.name if hasattr(contrib, "name") else str(contrib))
+
+    return BlockDoc(
+        id=block.id,
+        name=class_name_to_display_name(block.name),
+        class_name=block.name,
+        description=block.description,
+        categories=categories,
+        category_descriptions=category_descriptions,
+        inputs=inputs,
+        outputs=outputs,
+        block_type=block.block_type.value,
+        source_file=source_file,
+        contributors=contributors,
+    )
+
+
+def generate_anchor(name: str) -> str:
+    """Generate markdown anchor from block name."""
+    return name.lower().replace(" ", "-").replace("(", "").replace(")", "")
+
+
+def extract_manual_content(existing_content: str) -> dict[str, str]:
+    """Extract content between MANUAL markers from existing file."""
+    manual_sections = {}
+
+    # Pattern: <!-- MANUAL: section_name -->content<!-- END MANUAL -->
+    pattern = r"<!-- MANUAL: (\w+) -->\s*(.*?)\s*<!-- END MANUAL -->"
+    matches = re.findall(pattern, existing_content, re.DOTALL)
+
+    for section_name, content in matches:
+        manual_sections[section_name] = content.strip()
+
+    return manual_sections
+
+
+def strip_markers(content: str) -> str:
+    """Remove MANUAL markers from content."""
+    # Remove opening markers
+    content = re.sub(r"<!-- MANUAL: \w+ -->\s*", "", content)
+    # Remove closing markers
+    content = re.sub(r"\s*<!-- END MANUAL -->", "", content)
+    return content.strip()
+
+
+def extract_legacy_content(existing_content: str) -> dict[str, str]:
+    """Extract content from legacy docs without markers (for migration)."""
+    manual_sections = {}
+
+    # Try to extract "How it works" section
+    how_it_works_match = re.search(
+        r"### How it works\s*\n(.*?)(?=\n### |\n## |\Z)", existing_content, re.DOTALL
+    )
+    if how_it_works_match:
+        content = strip_markers(how_it_works_match.group(1).strip())
+        if content and not content.startswith("|"):  # Not a table
+            manual_sections["how_it_works"] = content
+
+    # Try to extract "Possible use case" section
+    use_case_match = re.search(
+        r"### Possible use case\s*\n(.*?)(?=\n### |\n## |\n---|\Z)",
+        existing_content,
+        re.DOTALL,
+    )
+    if use_case_match:
+        content = strip_markers(use_case_match.group(1).strip())
+        if content:
+            manual_sections["use_case"] = content
+
+    return manual_sections
+
+
+def generate_block_markdown(
+    block: BlockDoc,
+    manual_content: dict[str, str] | None = None,
+    is_first_in_file: bool = True,
+) -> str:
+    """Generate markdown documentation for a single block."""
+    manual_content = manual_content or {}
+    lines = []
+
+    # Block heading
+    heading_level = "#" if is_first_in_file else "##"
+    lines.append(f"{heading_level} {block.name}")
+    lines.append("")
+
+    # What it is (full description)
+    lines.append("### What it is")
+    lines.append(block.description or "No description available.")
+    lines.append("")
+
+    # How it works (manual section)
+    lines.append("### How it works")
+    how_it_works = manual_content.get(
+        "how_it_works", "_Add technical explanation here._"
+    )
+    lines.append("<!-- MANUAL: how_it_works -->")
+    lines.append(how_it_works)
+    lines.append("<!-- END MANUAL -->")
+    lines.append("")
+
+    # Inputs table (auto-generated)
+    visible_inputs = [f for f in block.inputs if not f.hidden]
+    if visible_inputs:
+        lines.append("### Inputs")
+        lines.append("| Input | Description | Type | Required |")
+        lines.append("|-------|-------------|------|----------|")
+        for inp in visible_inputs:
+            required = "Yes" if inp.required else "No"
+            desc = inp.description or "-"
+            # Escape pipes in description
+            desc = desc.replace("|", "\\|")
+            lines.append(f"| {inp.name} | {desc} | {inp.type_str} | {required} |")
+        lines.append("")
+
+    # Outputs table (auto-generated)
+    visible_outputs = [f for f in block.outputs if not f.hidden]
+    if visible_outputs:
+        lines.append("### Outputs")
+        lines.append("| Output | Description | Type |")
+        lines.append("|--------|-------------|------|")
+        for out in visible_outputs:
+            desc = out.description or "-"
+            desc = desc.replace("|", "\\|")
+            lines.append(f"| {out.name} | {desc} | {out.type_str} |")
+        lines.append("")
+
+    # Possible use case (manual section)
+    lines.append("### Possible use case")
+    use_case = manual_content.get("use_case", "_Add practical use case examples here._")
+    lines.append("<!-- MANUAL: use_case -->")
+    lines.append(use_case)
+    lines.append("<!-- END MANUAL -->")
+    lines.append("")
+
+    lines.append("---")
+    lines.append("")
+
+    return "\n".join(lines)
+
+
+def get_block_file_mapping(blocks: list[BlockDoc]) -> dict[str, list[BlockDoc]]:
+    """
+    Map blocks to their documentation files.
+
+    Returns dict of {relative_file_path: [blocks]}
+    """
+    file_mapping = defaultdict(list)
+
+    for block in blocks:
+        # Determine file path based on source file or category
+        source_path = Path(block.source_file)
+
+        # If source is in a subdirectory (e.g., google/gmail.py), use that structure
+        if len(source_path.parts) > 2:  # blocks/subdir/file.py
+            subdir = source_path.parts[1]  # e.g., "google"
+            # Use the Python filename as the md filename
+            md_file = source_path.stem + ".md"  # e.g., "gmail.md"
+            file_path = f"{subdir}/{md_file}"
+        else:
+            # Use category-based grouping for top-level blocks
+            primary_category = block.categories[0] if block.categories else "BASIC"
+            file_name = CATEGORY_FILE_MAP.get(primary_category, "misc")
+            file_path = f"{file_name}.md"
+
+        file_mapping[file_path].append(block)
+
+    return dict(file_mapping)
+
+
+def generate_overview_table(blocks: list[BlockDoc]) -> str:
+    """Generate the overview table markdown (blocks.md)."""
+    lines = []
+
+    lines.append("# AutoGPT Blocks Overview")
+    lines.append("")
+    lines.append(
+        'AutoGPT uses a modular approach with various "blocks" to handle different tasks. These blocks are the building blocks of AutoGPT workflows, allowing users to create complex automations by combining simple, specialized components.'
+    )
+    lines.append("")
+    lines.append('!!! info "Creating Your Own Blocks"')
+    lines.append("    Want to create your own custom blocks? Check out our guides:")
+    lines.append("    ")
+    lines.append(
+        "    - [Build your own Blocks](../new_blocks.md) - Step-by-step tutorial with examples"
+    )
+    lines.append(
+        "    - [Block SDK Guide](../block-sdk-guide.md) - Advanced SDK patterns with OAuth, webhooks, and provider configuration"
+    )
+    lines.append("")
+    lines.append(
+        "Below is a comprehensive list of all available blocks, categorized by their primary function. Click on any block name to view its detailed documentation."
+    )
+    lines.append("")
+
+    # Group blocks by category
+    by_category = defaultdict(list)
+    for block in blocks:
+        primary_cat = block.categories[0] if block.categories else "BASIC"
+        by_category[primary_cat].append(block)
+
+    # Sort categories
+    category_order = [
+        "BASIC",
+        "DATA",
+        "TEXT",
+        "AI",
+        "SEARCH",
+        "SOCIAL",
+        "COMMUNICATION",
+        "DEVELOPER_TOOLS",
+        "MULTIMEDIA",
+        "PRODUCTIVITY",
+        "LOGIC",
+        "INPUT",
+        "OUTPUT",
+        "AGENT",
+        "CRM",
+        "SAFETY",
+        "ISSUE_TRACKING",
+        "HARDWARE",
+        "MARKETING",
+    ]
+
+    for category in category_order:
+        if category not in by_category:
+            continue
+
+        cat_blocks = sorted(by_category[category], key=lambda b: b.name)
+        display_name = CATEGORY_DISPLAY_NAMES.get(category, category)
+
+        lines.append(f"## {display_name}")
+        lines.append("| Block Name | Description |")
+        lines.append("|------------|-------------|")
+
+        for block in cat_blocks:
+            # Determine link path
+            file_mapping = get_block_file_mapping([block])
+            file_path = list(file_mapping.keys())[0]
+            anchor = generate_anchor(block.name)
+
+            # Short description (first sentence)
+            short_desc = (
+                block.description.split(".")[0]
+                if block.description
+                else "No description"
+            )
+            short_desc = short_desc.replace("|", "\\|")
+
+            lines.append(f"| [{block.name}]({file_path}#{anchor}) | {short_desc} |")
+
+        lines.append("")
+
+    return "\n".join(lines)
+
+
+def load_all_blocks_for_docs() -> list[BlockDoc]:
+    """Load all blocks and extract documentation."""
+    from backend.blocks import load_all_blocks
+
+    block_classes = load_all_blocks()
+    blocks = []
+
+    for _block_id, block_cls in block_classes.items():
+        try:
+            block_doc = extract_block_doc(block_cls)
+            blocks.append(block_doc)
+        except Exception as e:
+            logger.warning(f"Failed to extract docs for {block_cls.__name__}: {e}")
+
+    return blocks
+
+
+def write_block_docs(
+    output_dir: Path,
+    blocks: list[BlockDoc],
+    migrate: bool = False,
+    verbose: bool = False,
+) -> dict[str, str]:
+    """
+    Write block documentation files.
+
+    Returns dict of {file_path: content} for all generated files.
+    """
+    output_dir = Path(output_dir)
+    output_dir.mkdir(parents=True, exist_ok=True)
+
+    file_mapping = get_block_file_mapping(blocks)
+    generated_files = {}
+
+    for file_path, file_blocks in file_mapping.items():
+        full_path = output_dir / file_path
+
+        # Create subdirectories if needed
+        full_path.parent.mkdir(parents=True, exist_ok=True)
+
+        # Load existing content for manual section preservation
+        existing_content = ""
+        if full_path.exists():
+            existing_content = full_path.read_text()
+
+        # Generate content for each block
+        content_parts = []
+        for i, block in enumerate(sorted(file_blocks, key=lambda b: b.name)):
+            # Try to extract manual content
+            if migrate:
+                manual_content = extract_legacy_content(existing_content)
+            else:
+                # Extract manual content specific to this block
+                # Look for content after the block heading
+                block_pattern = (
+                    rf"(?:^|\n)##? {re.escape(block.name)}\s*\n(.*?)(?=\n##? |\Z)"
+                )
+                block_match = re.search(block_pattern, existing_content, re.DOTALL)
+                if block_match:
+                    manual_content = extract_manual_content(block_match.group(1))
+                else:
+                    manual_content = {}
+
+            content_parts.append(
+                generate_block_markdown(
+                    block,
+                    manual_content,
+                    is_first_in_file=(i == 0),
+                )
+            )
+
+        full_content = "\n".join(content_parts)
+        generated_files[str(file_path)] = full_content
+
+        if verbose:
+            print(f"  Writing {file_path} ({len(file_blocks)} blocks)")
+
+        full_path.write_text(full_content)
+
+    # Generate overview file
+    overview_content = generate_overview_table(blocks)
+    overview_path = output_dir / "blocks.md"
+    generated_files["blocks.md"] = overview_content
+    overview_path.write_text(overview_content)
+
+    if verbose:
+        print("  Writing blocks.md (overview)")
+
+    return generated_files
+
+
+def check_docs_in_sync(output_dir: Path, blocks: list[BlockDoc]) -> bool:
+    """
+    Check if generated docs match existing docs.
+
+    Returns True if in sync, False otherwise.
+    """
+    output_dir = Path(output_dir)
+    file_mapping = get_block_file_mapping(blocks)
+
+    all_match = True
+
+    for file_path, file_blocks in file_mapping.items():
+        full_path = output_dir / file_path
+
+        if not full_path.exists():
+            print(f"MISSING: {file_path}")
+            all_match = False
+            continue
+
+        existing_content = full_path.read_text()
+
+        # Extract manual content from existing file
+        manual_sections_by_block = {}
+        for block in file_blocks:
+            block_pattern = (
+                rf"(?:^|\n)##? {re.escape(block.name)}\s*\n(.*?)(?=\n##? |\Z)"
+            )
+            block_match = re.search(block_pattern, existing_content, re.DOTALL)
+            if block_match:
+                manual_sections_by_block[block.name] = extract_manual_content(
+                    block_match.group(1)
+                )
+
+        # Generate expected content
+        content_parts = []
+        for i, block in enumerate(sorted(file_blocks, key=lambda b: b.name)):
+            manual_content = manual_sections_by_block.get(block.name, {})
+            content_parts.append(
+                generate_block_markdown(
+                    block,
+                    manual_content,
+                    is_first_in_file=(i == 0),
+                )
+            )
+
+        expected_content = "\n".join(content_parts)
+
+        if existing_content.strip() != expected_content.strip():
+            print(f"OUT OF SYNC: {file_path}")
+            all_match = False
+
+    # Check overview
+    overview_path = output_dir / "blocks.md"
+    if overview_path.exists():
+        existing_overview = overview_path.read_text()
+        expected_overview = generate_overview_table(blocks)
+        if existing_overview.strip() != expected_overview.strip():
+            print("OUT OF SYNC: blocks.md (overview)")
+            all_match = False
+    else:
+        print("MISSING: blocks.md (overview)")
+        all_match = False
+
+    return all_match
+
+
+def main():
+    parser = argparse.ArgumentParser(
+        description="Generate block documentation from code introspection"
+    )
+    parser.add_argument(
+        "--output-dir",
+        type=Path,
+        default=DEFAULT_OUTPUT_DIR,
+        help="Output directory for generated docs",
+    )
+    parser.add_argument(
+        "--check",
+        action="store_true",
+        help="Check if docs are in sync (for CI), exit 1 if not",
+    )
+    parser.add_argument(
+        "--migrate",
+        action="store_true",
+        help="Migrate existing docs (extract legacy manual content)",
+    )
+    parser.add_argument(
+        "-v",
+        "--verbose",
+        action="store_true",
+        help="Verbose output",
+    )
+
+    args = parser.parse_args()
+
+    logging.basicConfig(
+        level=logging.DEBUG if args.verbose else logging.INFO,
+        format="%(levelname)s: %(message)s",
+    )
+
+    print("Loading blocks...")
+    blocks = load_all_blocks_for_docs()
+    print(f"Found {len(blocks)} blocks")
+
+    if args.check:
+        print(f"Checking docs in {args.output_dir}...")
+        in_sync = check_docs_in_sync(args.output_dir, blocks)
+        if in_sync:
+            print("All documentation is in sync!")
+            sys.exit(0)
+        else:
+            print("\nDocumentation is out of sync!")
+            print(
+                "Run: cd autogpt_platform/backend && poetry run python scripts/generate_block_docs.py"
+            )
+            sys.exit(1)
+    else:
+        print(f"Generating docs to {args.output_dir}...")
+        write_block_docs(
+            args.output_dir,
+            blocks,
+            migrate=args.migrate,
+            verbose=args.verbose,
+        )
+        print("Done!")
+
+
+if __name__ == "__main__":
+    main()

autogpt_platform/backend/scripts/migrate_block_docs.py

@@ -0,0 +1,211 @@
+#!/usr/bin/env python3
+"""
+Migration script to preserve manual content from existing docs.
+
+This script:
+1. Reads all existing block documentation (from git HEAD)
+2. Extracts manual content (How it works, Possible use case) by block name
+3. Creates a JSON mapping of block_name -> manual_content
+4. Generates new docs using current block structure while preserving manual content
+"""
+
+import json
+import re
+import subprocess
+import sys
+from pathlib import Path
+
+sys.path.insert(0, str(Path(__file__).parent.parent))
+
+from scripts.generate_block_docs import (
+    generate_block_markdown,
+    generate_overview_table,
+    get_block_file_mapping,
+    load_all_blocks_for_docs,
+    strip_markers,
+)
+
+
+def get_git_file_content(file_path: str) -> str | None:
+    """Get file content from git HEAD."""
+    try:
+        result = subprocess.run(
+            ["git", "show", f"HEAD:{file_path}"],
+            capture_output=True,
+            text=True,
+            cwd=Path(__file__).parent.parent.parent.parent,  # repo root
+        )
+        if result.returncode == 0:
+            return result.stdout
+        return None
+    except Exception:
+        return None
+
+
+def extract_blocks_from_doc(content: str) -> dict[str, dict[str, str]]:
+    """Extract all block sections and their manual content from a doc file."""
+    blocks = {}
+
+    # Find all block headings (# or ##)
+    block_pattern = r"(?:^|\n)(##?) ([^\n]+)\n"
+    matches = list(re.finditer(block_pattern, content))
+
+    for i, match in enumerate(matches):
+        block_name = match.group(2).strip()
+        start = match.end()
+
+        # Find end (next heading or end of file)
+        if i + 1 < len(matches):
+            end = matches[i + 1].start()
+        else:
+            end = len(content)
+
+        block_content = content[start:end]
+
+        # Extract manual sections
+        manual_content = {}
+
+        # How it works
+        how_match = re.search(
+            r"### How it works\s*\n(.*?)(?=\n### |\Z)", block_content, re.DOTALL
+        )
+        if how_match:
+            text = strip_markers(how_match.group(1).strip())
+            # Skip if it's just placeholder or a table
+            if text and not text.startswith("|") and not text.startswith("_Add"):
+                manual_content["how_it_works"] = text
+
+        # Possible use case
+        use_case_match = re.search(
+            r"### Possible use case\s*\n(.*?)(?=\n### |\n## |\n---|\Z)",
+            block_content,
+            re.DOTALL,
+        )
+        if use_case_match:
+            text = strip_markers(use_case_match.group(1).strip())
+            if text and not text.startswith("_Add"):
+                manual_content["use_case"] = text
+
+        if manual_content:
+            blocks[block_name] = manual_content
+
+    return blocks
+
+
+def collect_existing_manual_content() -> dict[str, dict[str, str]]:
+    """Collect all manual content from existing git HEAD docs."""
+    all_manual_content = {}
+
+    # Find all existing md files via git
+    result = subprocess.run(
+        ["git", "ls-files", "docs/content/platform/blocks/"],
+        capture_output=True,
+        text=True,
+        cwd=Path(__file__).parent.parent.parent.parent,
+    )
+
+    if result.returncode != 0:
+        print("Failed to list git files")
+        return {}
+
+    for file_path in result.stdout.strip().split("\n"):
+        if not file_path.endswith(".md"):
+            continue
+        if file_path.endswith("blocks.md"):  # Skip overview
+            continue
+
+        print(f"Processing: {file_path}")
+        content = get_git_file_content(file_path)
+        if content:
+            blocks = extract_blocks_from_doc(content)
+            for block_name, manual_content in blocks.items():
+                if block_name in all_manual_content:
+                    # Merge if already exists
+                    all_manual_content[block_name].update(manual_content)
+                else:
+                    all_manual_content[block_name] = manual_content
+
+    return all_manual_content
+
+
+def run_migration():
+    """Run the migration."""
+    print("Step 1: Collecting existing manual content from git HEAD...")
+    manual_content_cache = collect_existing_manual_content()
+
+    print(f"\nFound manual content for {len(manual_content_cache)} blocks")
+
+    # Show some examples
+    for name, content in list(manual_content_cache.items())[:3]:
+        print(f"  - {name}: {list(content.keys())}")
+
+    # Save cache for reference
+    cache_path = Path(__file__).parent / "manual_content_cache.json"
+    with open(cache_path, "w") as f:
+        json.dump(manual_content_cache, f, indent=2)
+    print(f"\nSaved cache to {cache_path}")
+
+    print("\nStep 2: Loading blocks from code...")
+    blocks = load_all_blocks_for_docs()
+    print(f"Found {len(blocks)} blocks")
+
+    print("\nStep 3: Generating new documentation...")
+    output_dir = (
+        Path(__file__).parent.parent.parent.parent
+        / "docs"
+        / "content"
+        / "platform"
+        / "blocks"
+    )
+
+    file_mapping = get_block_file_mapping(blocks)
+
+    # Track statistics
+    preserved_count = 0
+    missing_count = 0
+
+    for file_path, file_blocks in file_mapping.items():
+        full_path = output_dir / file_path
+        full_path.parent.mkdir(parents=True, exist_ok=True)
+
+        content_parts = []
+        for i, block in enumerate(sorted(file_blocks, key=lambda b: b.name)):
+            # Look up manual content by block name
+            manual_content = manual_content_cache.get(block.name, {})
+
+            if manual_content:
+                preserved_count += 1
+            else:
+                # Try with class name
+                manual_content = manual_content_cache.get(block.class_name, {})
+                if not manual_content:
+                    missing_count += 1
+
+            content_parts.append(
+                generate_block_markdown(
+                    block,
+                    manual_content,
+                    is_first_in_file=(i == 0),
+                )
+            )
+
+        full_content = "\n".join(content_parts)
+        full_path.write_text(full_content)
+        print(f"  Wrote {file_path} ({len(file_blocks)} blocks)")
+
+    # Generate overview
+    overview_content = generate_overview_table(blocks)
+    overview_path = output_dir / "blocks.md"
+    overview_path.write_text(overview_content)
+    print("  Wrote blocks.md (overview)")
+
+    print("\nMigration complete!")
+    print(f"  - Blocks with preserved manual content: {preserved_count}")
+    print(f"  - Blocks without manual content: {missing_count}")
+    print(
+        "\nYou can now run `poetry run python scripts/generate_block_docs.py --check` to verify"
+    )
+
+
+if __name__ == "__main__":
+    run_migration()

autogpt_platform/backend/scripts/test_generate_block_docs.py

@@ -0,0 +1,233 @@
+#!/usr/bin/env python3
+"""Tests for the block documentation generator."""
+import pytest
+
+from scripts.generate_block_docs import (
+    class_name_to_display_name,
+    extract_manual_content,
+    generate_anchor,
+    strip_markers,
+    type_to_readable,
+)
+
+
+class TestClassNameToDisplayName:
+    """Tests for class_name_to_display_name function."""
+
+    def test_simple_block_name(self):
+        assert class_name_to_display_name("PrintBlock") == "Print"
+
+    def test_multi_word_block_name(self):
+        assert class_name_to_display_name("GetWeatherBlock") == "Get Weather"
+
+    def test_consecutive_capitals(self):
+        assert class_name_to_display_name("HTTPRequestBlock") == "HTTP Request"
+
+    def test_ai_prefix(self):
+        assert class_name_to_display_name("AIConditionBlock") == "AI Condition"
+
+    def test_no_block_suffix(self):
+        assert class_name_to_display_name("SomeClass") == "Some Class"
+
+
+class TestTypeToReadable:
+    """Tests for type_to_readable function."""
+
+    def test_string_type(self):
+        assert type_to_readable({"type": "string"}) == "str"
+
+    def test_integer_type(self):
+        assert type_to_readable({"type": "integer"}) == "int"
+
+    def test_number_type(self):
+        assert type_to_readable({"type": "number"}) == "float"
+
+    def test_boolean_type(self):
+        assert type_to_readable({"type": "boolean"}) == "bool"
+
+    def test_array_type(self):
+        result = type_to_readable({"type": "array", "items": {"type": "string"}})
+        assert result == "List[str]"
+
+    def test_object_type(self):
+        result = type_to_readable({"type": "object", "title": "MyModel"})
+        assert result == "MyModel"
+
+    def test_anyof_with_null(self):
+        result = type_to_readable({"anyOf": [{"type": "string"}, {"type": "null"}]})
+        assert result == "str"
+
+    def test_anyof_multiple_types(self):
+        result = type_to_readable({"anyOf": [{"type": "string"}, {"type": "integer"}]})
+        assert result == "str | int"
+
+    def test_enum_type(self):
+        result = type_to_readable(
+            {"type": "string", "enum": ["option1", "option2", "option3"]}
+        )
+        assert result == '"option1" | "option2" | "option3"'
+
+    def test_none_input(self):
+        assert type_to_readable(None) == "Any"
+
+    def test_non_dict_input(self):
+        assert type_to_readable("string") == "string"
+
+
+class TestExtractManualContent:
+    """Tests for extract_manual_content function."""
+
+    def test_extract_how_it_works(self):
+        content = """
+### How it works
+<!-- MANUAL: how_it_works -->
+This is how it works.
+<!-- END MANUAL -->
+"""
+        result = extract_manual_content(content)
+        assert result == {"how_it_works": "This is how it works."}
+
+    def test_extract_use_case(self):
+        content = """
+### Possible use case
+<!-- MANUAL: use_case -->
+Example use case here.
+<!-- END MANUAL -->
+"""
+        result = extract_manual_content(content)
+        assert result == {"use_case": "Example use case here."}
+
+    def test_extract_multiple_sections(self):
+        content = """
+<!-- MANUAL: how_it_works -->
+How it works content.
+<!-- END MANUAL -->
+
+<!-- MANUAL: use_case -->
+Use case content.
+<!-- END MANUAL -->
+"""
+        result = extract_manual_content(content)
+        assert result == {
+            "how_it_works": "How it works content.",
+            "use_case": "Use case content.",
+        }
+
+    def test_empty_content(self):
+        result = extract_manual_content("")
+        assert result == {}
+
+    def test_no_markers(self):
+        result = extract_manual_content("Some content without markers")
+        assert result == {}
+
+
+class TestStripMarkers:
+    """Tests for strip_markers function."""
+
+    def test_strip_opening_marker(self):
+        content = "<!-- MANUAL: how_it_works -->\nContent here"
+        result = strip_markers(content)
+        assert result == "Content here"
+
+    def test_strip_closing_marker(self):
+        content = "Content here\n<!-- END MANUAL -->"
+        result = strip_markers(content)
+        assert result == "Content here"
+
+    def test_strip_both_markers(self):
+        content = "<!-- MANUAL: section -->\nContent here\n<!-- END MANUAL -->"
+        result = strip_markers(content)
+        assert result == "Content here"
+
+    def test_no_markers(self):
+        content = "Content without markers"
+        result = strip_markers(content)
+        assert result == "Content without markers"
+
+
+class TestGenerateAnchor:
+    """Tests for generate_anchor function."""
+
+    def test_simple_name(self):
+        assert generate_anchor("Print") == "print"
+
+    def test_multi_word_name(self):
+        assert generate_anchor("Get Weather") == "get-weather"
+
+    def test_name_with_parentheses(self):
+        assert generate_anchor("Something (Optional)") == "something-optional"
+
+    def test_already_lowercase(self):
+        assert generate_anchor("already lowercase") == "already-lowercase"
+
+
+class TestIntegration:
+    """Integration tests that require block loading."""
+
+    def test_load_blocks(self):
+        """Test that blocks can be loaded successfully."""
+        import logging
+        import sys
+        from pathlib import Path
+
+        logging.disable(logging.CRITICAL)
+        sys.path.insert(0, str(Path(__file__).parent.parent))
+
+        from scripts.generate_block_docs import load_all_blocks_for_docs
+
+        blocks = load_all_blocks_for_docs()
+        assert len(blocks) > 0, "Should load at least one block"
+
+    def test_block_doc_has_required_fields(self):
+        """Test that extracted block docs have required fields."""
+        import logging
+        import sys
+        from pathlib import Path
+
+        logging.disable(logging.CRITICAL)
+        sys.path.insert(0, str(Path(__file__).parent.parent))
+
+        from scripts.generate_block_docs import load_all_blocks_for_docs
+
+        blocks = load_all_blocks_for_docs()
+        block = blocks[0]
+
+        assert hasattr(block, "id")
+        assert hasattr(block, "name")
+        assert hasattr(block, "description")
+        assert hasattr(block, "categories")
+        assert hasattr(block, "inputs")
+        assert hasattr(block, "outputs")
+
+    def test_file_mapping_is_deterministic(self):
+        """Test that file mapping produces consistent results."""
+        import logging
+        import sys
+        from pathlib import Path
+
+        logging.disable(logging.CRITICAL)
+        sys.path.insert(0, str(Path(__file__).parent.parent))
+
+        from scripts.generate_block_docs import (
+            get_block_file_mapping,
+            load_all_blocks_for_docs,
+        )
+
+        # Load blocks twice and compare mappings
+        blocks1 = load_all_blocks_for_docs()
+        blocks2 = load_all_blocks_for_docs()
+
+        mapping1 = get_block_file_mapping(blocks1)
+        mapping2 = get_block_file_mapping(blocks2)
+
+        # Check same files are generated
+        assert set(mapping1.keys()) == set(mapping2.keys())
+
+        # Check same block counts per file
+        for file_path in mapping1:
+            assert len(mapping1[file_path]) == len(mapping2[file_path])
+
+
+if __name__ == "__main__":
+    pytest.main([__file__, "-v"])

autogpt_platform/backend/snapshots/grph_single

@@ -2,6 +2,7 @@
   "created_at": "2025-09-04T13:37:00",
   "credentials_input_schema": {
     "properties": {},
+    "required": [],
     "title": "TestGraphCredentialsInputSchema",
     "type": "object"
   },

autogpt_platform/backend/snapshots/grphs_all

@@ -2,6 +2,7 @@
   {
     "credentials_input_schema": {
       "properties": {},
+      "required": [],
       "title": "TestGraphCredentialsInputSchema",
       "type": "object"
     },

autogpt_platform/backend/snapshots/lib_agts_search

@@ -4,6 +4,7 @@
       "id": "test-agent-1",
       "graph_id": "test-agent-1",
       "graph_version": 1,
+      "owner_user_id": "3e53486c-cf57-477e-ba2a-cb02dc828e1a",
       "image_url": null,
       "creator_name": "Test Creator",
       "creator_image_url": "",
@@ -41,6 +42,7 @@
       "id": "test-agent-2",
       "graph_id": "test-agent-2",
       "graph_version": 1,
+      "owner_user_id": "3e53486c-cf57-477e-ba2a-cb02dc828e1a",
       "image_url": null,
       "creator_name": "Test Creator",
       "creator_image_url": "",

autogpt_platform/backend/snapshots/sub_success

@@ -1,6 +1,7 @@
 {
   "submissions": [
     {
+      "listing_id": "test-listing-id",
       "agent_id": "test-agent-id",
       "agent_version": 1,
       "name": "Test Agent",

autogpt_platform/docker-compose.platform.yml

@@ -37,7 +37,7 @@ services:
       context: ../
       dockerfile: autogpt_platform/backend/Dockerfile
       target: migrate
-    command: ["sh", "-c", "poetry run prisma generate && poetry run prisma migrate deploy"]
+    command: ["sh", "-c", "poetry run prisma generate && poetry run gen-prisma-stub && poetry run prisma migrate deploy"]
     develop:
       watch:
         - path: ./

autogpt_platform/frontend/package.json

@@ -54,7 +54,7 @@
     "@radix-ui/react-tooltip": "1.2.8",
     "@rjsf/core": "6.1.2",
     "@rjsf/utils": "6.1.2",
-    "@rjsf/validator-ajv8": "5.24.13",
+    "@rjsf/validator-ajv8": "6.1.2",
     "@sentry/nextjs": "10.27.0",
     "@supabase/ssr": "0.7.0",
     "@supabase/supabase-js": "2.78.0",
@@ -92,7 +92,6 @@
     "react-currency-input-field": "4.0.3",
     "react-day-picker": "9.11.1",
     "react-dom": "18.3.1",
-    "react-drag-drop-files": "2.4.0",
     "react-hook-form": "7.66.0",
     "react-icons": "5.5.0",
     "react-markdown": "9.0.3",

autogpt_platform/frontend/src/app/(no-navbar)/onboarding/5-run/components/AgentOnboardingCredentials/AgentOnboardingCredentials.tsx

@@ -1,6 +1,6 @@
+import { CredentialsInput } from "@/app/(platform)/library/agents/[id]/components/NewAgentLibraryView/components/modals/CredentialsInputs/CredentialsInputs";
 import { CredentialsMetaInput } from "@/app/api/__generated__/models/credentialsMetaInput";
 import { GraphMeta } from "@/app/api/__generated__/models/graphMeta";
-import { CredentialsInput } from "@/components/contextual/CredentialsInputs/CredentialsInputs";
 import { useState } from "react";
 import { getSchemaDefaultCredentials } from "../../helpers";
 import { areAllCredentialsSet, getCredentialFields } from "./helpers";

autogpt_platform/frontend/src/app/(no-navbar)/onboarding/5-run/page.tsx

@@ -1,12 +1,12 @@
 "use client";
 
+import { RunAgentInputs } from "@/app/(platform)/library/agents/[id]/components/NewAgentLibraryView/components/modals/RunAgentInputs/RunAgentInputs";
 import {
   Card,
   CardContent,
   CardHeader,
   CardTitle,
 } from "@/components/__legacy__/ui/card";
-import { RunAgentInputs } from "@/components/contextual/RunAgentInputs/RunAgentInputs";
 import { ErrorCard } from "@/components/molecules/ErrorCard/ErrorCard";
 import { CircleNotchIcon } from "@phosphor-icons/react/dist/ssr";
 import { Play } from "lucide-react";

autogpt_platform/frontend/src/app/(platform)/PlatformLayoutContent.tsx

@@ -1,46 +0,0 @@
-"use client";
-
-import { ChatDrawer } from "@/components/contextual/Chat/ChatDrawer";
-import { usePathname } from "next/navigation";
-import { Children, ReactNode } from "react";
-
-interface PlatformLayoutContentProps {
-  children: ReactNode;
-}
-
-export function PlatformLayoutContent({
-  children,
-}: PlatformLayoutContentProps) {
-  const pathname = usePathname();
-  const isAuthPage =
-    pathname?.includes("/login") || pathname?.includes("/signup");
-
-  // Extract Navbar, AdminImpersonationBanner, and page content from children
-  const childrenArray = Children.toArray(children);
-  const navbar = childrenArray[0];
-  const adminBanner = childrenArray[1];
-  const pageContent = childrenArray.slice(2);
-
-  // For login/signup pages, use a simpler layout that doesn't interfere with centering
-  if (isAuthPage) {
-    return (
-      <main className="flex min-h-screen w-full flex-col">
-        {navbar}
-        {adminBanner}
-        <section className="flex-1">{pageContent}</section>
-      </main>
-    );
-  }
-
-  // For logged-in pages, use the drawer layout
-  return (
-    <main className="flex h-screen w-full flex-col overflow-hidden">
-      {navbar}
-      {adminBanner}
-      <section className="flex min-h-0 flex-1 overflow-auto">
-        {pageContent}
-      </section>
-      <ChatDrawer />
-    </main>
-  );
-}

autogpt_platform/frontend/src/app/(platform)/auth/integrations/setup-wizard/page.tsx

@@ -8,7 +8,7 @@ import { AuthCard } from "@/components/auth/AuthCard";
 import { Text } from "@/components/atoms/Text/Text";
 import { Button } from "@/components/atoms/Button/Button";
 import { ErrorCard } from "@/components/molecules/ErrorCard/ErrorCard";
-import { CredentialsInput } from "@/components/contextual/CredentialsInputs/CredentialsInputs";
+import { CredentialsInput } from "@/app/(platform)/library/agents/[id]/components/NewAgentLibraryView/components/modals/CredentialsInputs/CredentialsInputs";
 import type {
   BlockIOCredentialsSubSchema,
   CredentialsMetaInput,

autogpt_platform/frontend/src/app/(platform)/build/components/BuilderActions/components/AgentOutputs/AgentOutputs.tsx

@@ -1,6 +1,11 @@
 import { BlockUIType } from "@/app/(platform)/build/components/types";
 import { useGraphStore } from "@/app/(platform)/build/stores/graphStore";
 import { useNodeStore } from "@/app/(platform)/build/stores/nodeStore";
+import {
+  globalRegistry,
+  OutputActions,
+  OutputItem,
+} from "@/app/(platform)/library/agents/[id]/components/NewAgentLibraryView/components/selected-views/OutputRenderers";
 import { Label } from "@/components/__legacy__/ui/label";
 import { ScrollArea } from "@/components/__legacy__/ui/scroll-area";
 import {
@@ -18,11 +23,6 @@ import {
   TooltipProvider,
   TooltipTrigger,
 } from "@/components/atoms/Tooltip/BaseTooltip";
-import {
-  globalRegistry,
-  OutputActions,
-  OutputItem,
-} from "@/components/contextual/OutputRenderers";
 import { BookOpenIcon } from "@phosphor-icons/react";
 import { useMemo } from "react";
 import { useShallow } from "zustand/react/shallow";

autogpt_platform/frontend/src/app/(platform)/build/components/BuilderActions/components/RunInputDialog/RunInputDialog.tsx

@@ -66,6 +66,7 @@ export const RunInputDialog = ({
                     formContext={{
                       showHandles: false,
                       size: "large",
+                      showOptionalToggle: false,
                     }}
                   />
                 </div>

autogpt_platform/frontend/src/app/(platform)/build/components/BuilderActions/components/RunInputDialog/useRunInputDialog.ts

@@ -66,7 +66,7 @@ export const useRunInputDialog = ({
         if (isCredentialFieldSchema(fieldSchema)) {
           dynamicUiSchema[fieldName] = {
             ...dynamicUiSchema[fieldName],
-            "ui:field": "credentials",
+            "ui:field": "custom/credential_field",
           };
         }
       });
@@ -76,12 +76,18 @@ export const useRunInputDialog = ({
   }, [credentialsSchema]);
 
   const handleManualRun = async () => {
+    // Filter out incomplete credentials (those without a valid id)
+    // RJSF auto-populates const values (provider, type) but not id field
+    const validCredentials = Object.fromEntries(
+      Object.entries(credentialValues).filter(([_, cred]) => cred && cred.id),
+    );
+
     await executeGraph({
       graphId: flowID ?? "",
       graphVersion: flowVersion || null,
       data: {
         inputs: inputValues,
-        credentials_inputs: credentialValues,
+        credentials_inputs: validCredentials,
         source: "builder",
       },
     });

autogpt_platform/frontend/src/app/(platform)/build/components/FlowEditor/Flow/Flow.tsx

@@ -97,6 +97,9 @@ export const Flow = () => {
           onConnect={onConnect}
           onEdgesChange={onEdgesChange}
           onNodeDragStop={onNodeDragStop}
+          onNodeContextMenu={(event) => {
+            event.preventDefault();
+          }}
           maxZoom={2}
           minZoom={0.1}
           onDragOver={onDragOver}

autogpt_platform/frontend/src/app/(platform)/build/components/FlowEditor/nodes/CustomNode/CustomNode.tsx

@@ -1,24 +1,25 @@
-import React from "react";
-import { Node as XYNode, NodeProps } from "@xyflow/react";
-import { RJSFSchema } from "@rjsf/utils";
-import { BlockUIType } from "../../../types";
-import { StickyNoteBlock } from "./components/StickyNoteBlock";
-import { BlockInfoCategoriesItem } from "@/app/api/__generated__/models/blockInfoCategoriesItem";
-import { BlockCost } from "@/app/api/__generated__/models/blockCost";
 import { AgentExecutionStatus } from "@/app/api/__generated__/models/agentExecutionStatus";
+import { BlockCost } from "@/app/api/__generated__/models/blockCost";
+import { BlockInfoCategoriesItem } from "@/app/api/__generated__/models/blockInfoCategoriesItem";
 import { NodeExecutionResult } from "@/app/api/__generated__/models/nodeExecutionResult";
-import { NodeContainer } from "./components/NodeContainer";
-import { NodeHeader } from "./components/NodeHeader";
-import { FormCreator } from "../FormCreator";
-import { preprocessInputSchema } from "@/components/renderers/InputRenderer/utils/input-schema-pre-processor";
-import { OutputHandler } from "../OutputHandler";
-import { NodeAdvancedToggle } from "./components/NodeAdvancedToggle";
-import { NodeDataRenderer } from "./components/NodeOutput/NodeOutput";
-import { NodeExecutionBadge } from "./components/NodeExecutionBadge";
-import { cn } from "@/lib/utils";
-import { WebhookDisclaimer } from "./components/WebhookDisclaimer";
-import { AyrshareConnectButton } from "./components/AyrshareConnectButton";
 import { NodeModelMetadata } from "@/app/api/__generated__/models/nodeModelMetadata";
+import { preprocessInputSchema } from "@/components/renderers/InputRenderer/utils/input-schema-pre-processor";
+import { cn } from "@/lib/utils";
+import { RJSFSchema } from "@rjsf/utils";
+import { NodeProps, Node as XYNode } from "@xyflow/react";
+import React from "react";
+import { BlockUIType } from "../../../types";
+import { FormCreator } from "../FormCreator";
+import { OutputHandler } from "../OutputHandler";
+import { AyrshareConnectButton } from "./components/AyrshareConnectButton";
+import { NodeAdvancedToggle } from "./components/NodeAdvancedToggle";
+import { NodeContainer } from "./components/NodeContainer";
+import { NodeExecutionBadge } from "./components/NodeExecutionBadge";
+import { NodeHeader } from "./components/NodeHeader";
+import { NodeDataRenderer } from "./components/NodeOutput/NodeOutput";
+import { NodeRightClickMenu } from "./components/NodeRightClickMenu";
+import { StickyNoteBlock } from "./components/StickyNoteBlock";
+import { WebhookDisclaimer } from "./components/WebhookDisclaimer";
 
 export type CustomNodeData = {
   hardcodedValues: {
@@ -88,7 +89,7 @@ export const CustomNode: React.FC<NodeProps<CustomNode>> = React.memo(
 
     // Currently all blockTypes design are similar - that's why i am using the same component for all of them
     // If in future - if we need some drastic change in some blockTypes design - we can create separate components for them
-    return (
+    const node = (
       <NodeContainer selected={selected} nodeId={nodeId} hasErrors={hasErrors}>
         <div className="rounded-xlarge bg-white">
           <NodeHeader data={data} nodeId={nodeId} />
@@ -117,6 +118,15 @@ export const CustomNode: React.FC<NodeProps<CustomNode>> = React.memo(
         <NodeExecutionBadge nodeId={nodeId} />
       </NodeContainer>
     );
+
+    return (
+      <NodeRightClickMenu
+        nodeId={nodeId}
+        subGraphID={data.hardcodedValues?.graph_id}
+      >
+        {node}
+      </NodeRightClickMenu>
+    );
   },
 );
 

autogpt_platform/frontend/src/app/(platform)/build/components/FlowEditor/nodes/CustomNode/components/NodeContextMenu.tsx

@@ -1,26 +1,31 @@
-import { Separator } from "@/components/__legacy__/ui/separator";
+import { useCopyPasteStore } from "@/app/(platform)/build/stores/copyPasteStore";
+import { useNodeStore } from "@/app/(platform)/build/stores/nodeStore";
 import {
   DropdownMenu,
-  DropdownMenuContent,
-  DropdownMenuItem,
   DropdownMenuTrigger,
 } from "@/components/molecules/DropdownMenu/DropdownMenu";
-import { DotsThreeOutlineVerticalIcon } from "@phosphor-icons/react";
-import { Copy, Trash2, ExternalLink } from "lucide-react";
-import { useNodeStore } from "@/app/(platform)/build/stores/nodeStore";
-import { useCopyPasteStore } from "@/app/(platform)/build/stores/copyPasteStore";
+import {
+  SecondaryDropdownMenuContent,
+  SecondaryDropdownMenuItem,
+  SecondaryDropdownMenuSeparator,
+} from "@/components/molecules/SecondaryMenu/SecondaryMenu";
+import {
+  ArrowSquareOutIcon,
+  CopyIcon,
+  DotsThreeOutlineVerticalIcon,
+  TrashIcon,
+} from "@phosphor-icons/react";
 import { useReactFlow } from "@xyflow/react";
 
-export const NodeContextMenu = ({
-  nodeId,
-  subGraphID,
-}: {
+type Props = {
   nodeId: string;
   subGraphID?: string;
-}) => {
+};
+
+export const NodeContextMenu = ({ nodeId, subGraphID }: Props) => {
   const { deleteElements } = useReactFlow();
 
-  const handleCopy = () => {
+  function handleCopy() {
     useNodeStore.setState((state) => ({
       nodes: state.nodes.map((node) => ({
         ...node,
@@ -30,47 +35,47 @@ export const NodeContextMenu = ({
 
     useCopyPasteStore.getState().copySelectedNodes();
     useCopyPasteStore.getState().pasteNodes();
-  };
+  }
 
-  const handleDelete = () => {
+  function handleDelete() {
     deleteElements({ nodes: [{ id: nodeId }] });
-  };
+  }
 
   return (
     <DropdownMenu>
       <DropdownMenuTrigger className="py-2">
         <DotsThreeOutlineVerticalIcon size={16} weight="fill" />
       </DropdownMenuTrigger>
-      <DropdownMenuContent
-        side="right"
-        align="start"
-        className="rounded-xlarge"
-      >
-        <DropdownMenuItem onClick={handleCopy} className="hover:rounded-xlarge">
-          <Copy className="mr-2 h-4 w-4" />
-          Copy Node
-        </DropdownMenuItem>
+      <SecondaryDropdownMenuContent side="right" align="start">
+        <SecondaryDropdownMenuItem onClick={handleCopy}>
+          <CopyIcon size={20} className="mr-2 dark:text-gray-100" />
+          <span className="dark:text-gray-100">Copy</span>
+        </SecondaryDropdownMenuItem>
+        <SecondaryDropdownMenuSeparator />
 
         {subGraphID && (
-          <DropdownMenuItem
-            onClick={() => window.open(`/build?flowID=${subGraphID}`)}
-            className="hover:rounded-xlarge"
-          >
-            <ExternalLink className="mr-2 h-4 w-4" />
-            Open Agent
-          </DropdownMenuItem>
+          <>
+            <SecondaryDropdownMenuItem
+              onClick={() => window.open(`/build?flowID=${subGraphID}`)}
+            >
+              <ArrowSquareOutIcon
+                size={20}
+                className="mr-2 dark:text-gray-100"
+              />
+              <span className="dark:text-gray-100">Open agent</span>
+            </SecondaryDropdownMenuItem>
+            <SecondaryDropdownMenuSeparator />
+          </>
         )}
 
-        <Separator className="my-2" />
-
-        <DropdownMenuItem
-          onClick={handleDelete}
-          className="text-red-600 hover:rounded-xlarge"
-        >
-          <Trash2 className="mr-2 h-4 w-4" />
-          Delete
-        </DropdownMenuItem>
-      </DropdownMenuContent>
+        <SecondaryDropdownMenuItem variant="destructive" onClick={handleDelete}>
+          <TrashIcon
+            size={20}
+            className="mr-2 text-red-500 dark:text-red-400"
+          />
+          <span className="dark:text-red-400">Delete</span>
+        </SecondaryDropdownMenuItem>
+      </SecondaryDropdownMenuContent>
     </DropdownMenu>
   );
 };

autogpt_platform/frontend/src/app/(platform)/build/components/FlowEditor/nodes/CustomNode/components/NodeHeader.tsx

@@ -1,25 +1,24 @@
-import { Text } from "@/components/atoms/Text/Text";
-import { beautifyString, cn } from "@/lib/utils";
-import { NodeCost } from "./NodeCost";
-import { NodeBadges } from "./NodeBadges";
-import { NodeContextMenu } from "./NodeContextMenu";
-import { CustomNodeData } from "../CustomNode";
 import { useNodeStore } from "@/app/(platform)/build/stores/nodeStore";
-import { useState } from "react";
+import { Text } from "@/components/atoms/Text/Text";
 import {
   Tooltip,
   TooltipContent,
   TooltipProvider,
   TooltipTrigger,
 } from "@/components/atoms/Tooltip/BaseTooltip";
+import { beautifyString, cn } from "@/lib/utils";
+import { useState } from "react";
+import { CustomNodeData } from "../CustomNode";
+import { NodeBadges } from "./NodeBadges";
+import { NodeContextMenu } from "./NodeContextMenu";
+import { NodeCost } from "./NodeCost";
 
-export const NodeHeader = ({
-  data,
-  nodeId,
-}: {
+type Props = {
   data: CustomNodeData;
   nodeId: string;
-}) => {
+};
+
+export const NodeHeader = ({ data, nodeId }: Props) => {
   const updateNodeData = useNodeStore((state) => state.updateNodeData);
   const title = (data.metadata?.customized_name as string) || data.title;
   const [isEditingTitle, setIsEditingTitle] = useState(false);

autogpt_platform/frontend/src/app/(platform)/build/components/FlowEditor/nodes/CustomNode/components/NodeOutput/components/ContentRenderer.tsx

@@ -1,7 +1,7 @@
 "use client";
 
-import type { OutputMetadata } from "@/components/contextual/OutputRenderers";
-import { globalRegistry } from "@/components/contextual/OutputRenderers";
+import type { OutputMetadata } from "@/app/(platform)/library/agents/[id]/components/NewAgentLibraryView/components/selected-views/OutputRenderers";
+import { globalRegistry } from "@/app/(platform)/library/agents/[id]/components/NewAgentLibraryView/components/selected-views/OutputRenderers";
 
 export const TextRenderer: React.FC<{
   value: any;

autogpt_platform/frontend/src/app/(platform)/build/components/FlowEditor/nodes/CustomNode/components/NodeOutput/components/NodeDataViewer/NodeDataViewer.tsx

@@ -1,3 +1,7 @@
+import {
+  OutputActions,
+  OutputItem,
+} from "@/app/(platform)/library/agents/[id]/components/NewAgentLibraryView/components/selected-views/OutputRenderers";
 import { ScrollArea } from "@/components/__legacy__/ui/scroll-area";
 import { Button } from "@/components/atoms/Button/Button";
 import { Text } from "@/components/atoms/Text/Text";
@@ -7,10 +11,6 @@ import {
   TooltipProvider,
   TooltipTrigger,
 } from "@/components/atoms/Tooltip/BaseTooltip";
-import {
-  OutputActions,
-  OutputItem,
-} from "@/components/contextual/OutputRenderers";
 import { Dialog } from "@/components/molecules/Dialog/Dialog";
 import { beautifyString } from "@/lib/utils";
 import {
@@ -151,7 +151,7 @@ export const NodeDataViewer: FC<NodeDataViewerProps> = ({
         </div>
 
         <div className="flex justify-end pt-4">
-          {outputItems.length > 0 && (
+          {outputItems.length > 1 && (
             <OutputActions
               items={outputItems.map((item) => ({
                 value: item.value,

autogpt_platform/frontend/src/app/(platform)/build/components/FlowEditor/nodes/CustomNode/components/NodeOutput/components/NodeDataViewer/useNodeDataViewer.ts

@@ -1,6 +1,6 @@
-import type { OutputMetadata } from "@/components/contextual/OutputRenderers";
-import { globalRegistry } from "@/components/contextual/OutputRenderers";
-import { downloadOutputs } from "@/components/contextual/OutputRenderers/utils/download";
+import type { OutputMetadata } from "@/app/(platform)/library/agents/[id]/components/NewAgentLibraryView/components/selected-views/OutputRenderers";
+import { globalRegistry } from "@/app/(platform)/library/agents/[id]/components/NewAgentLibraryView/components/selected-views/OutputRenderers";
+import { downloadOutputs } from "@/app/(platform)/library/agents/[id]/components/NewAgentLibraryView/components/selected-views/OutputRenderers/utils/download";
 import { useToast } from "@/components/molecules/Toast/use-toast";
 import { beautifyString } from "@/lib/utils";
 import React, { useMemo, useState } from "react";

autogpt_platform/frontend/src/app/(platform)/build/components/FlowEditor/nodes/CustomNode/components/NodeRightClickMenu.tsx

@@ -0,0 +1,104 @@
+import { useCopyPasteStore } from "@/app/(platform)/build/stores/copyPasteStore";
+import { useNodeStore } from "@/app/(platform)/build/stores/nodeStore";
+import {
+  SecondaryMenuContent,
+  SecondaryMenuItem,
+  SecondaryMenuSeparator,
+} from "@/components/molecules/SecondaryMenu/SecondaryMenu";
+import { ArrowSquareOutIcon, CopyIcon, TrashIcon } from "@phosphor-icons/react";
+import * as ContextMenu from "@radix-ui/react-context-menu";
+import { useReactFlow } from "@xyflow/react";
+import { useEffect, useRef } from "react";
+import { CustomNode } from "../CustomNode";
+
+type Props = {
+  nodeId: string;
+  subGraphID?: string;
+  children: React.ReactNode;
+};
+
+const DOUBLE_CLICK_TIMEOUT = 300;
+
+export function NodeRightClickMenu({ nodeId, subGraphID, children }: Props) {
+  const { deleteElements } = useReactFlow<CustomNode>();
+  const lastRightClickTime = useRef<number>(0);
+  const containerRef = useRef<HTMLDivElement>(null);
+
+  function copyNode() {
+    useNodeStore.setState((state) => ({
+      nodes: state.nodes.map((node) => ({
+        ...node,
+        selected: node.id === nodeId,
+      })),
+    }));
+
+    useCopyPasteStore.getState().copySelectedNodes();
+    useCopyPasteStore.getState().pasteNodes();
+  }
+
+  function deleteNode() {
+    deleteElements({ nodes: [{ id: nodeId }] });
+  }
+
+  useEffect(() => {
+    const container = containerRef.current;
+    if (!container) return;
+
+    function handleContextMenu(e: MouseEvent) {
+      const now = Date.now();
+      const timeSinceLastClick = now - lastRightClickTime.current;
+
+      if (timeSinceLastClick < DOUBLE_CLICK_TIMEOUT) {
+        e.stopImmediatePropagation();
+        lastRightClickTime.current = 0;
+        return;
+      }
+
+      lastRightClickTime.current = now;
+    }
+
+    container.addEventListener("contextmenu", handleContextMenu, true);
+
+    return () => {
+      container.removeEventListener("contextmenu", handleContextMenu, true);
+    };
+  }, []);
+
+  return (
+    <ContextMenu.Root>
+      <ContextMenu.Trigger asChild>
+        <div ref={containerRef}>{children}</div>
+      </ContextMenu.Trigger>
+      <SecondaryMenuContent>
+        <SecondaryMenuItem onSelect={copyNode}>
+          <CopyIcon size={20} className="mr-2 dark:text-gray-100" />
+          <span className="dark:text-gray-100">Copy</span>
+        </SecondaryMenuItem>
+        <SecondaryMenuSeparator />
+
+        {subGraphID && (
+          <>
+            <SecondaryMenuItem
+              onClick={() => window.open(`/build?flowID=${subGraphID}`)}
+            >
+              <ArrowSquareOutIcon
+                size={20}
+                className="mr-2 dark:text-gray-100"
+              />
+              <span className="dark:text-gray-100">Open agent</span>
+            </SecondaryMenuItem>
+            <SecondaryMenuSeparator />
+          </>
+        )}
+
+        <SecondaryMenuItem variant="destructive" onSelect={deleteNode}>
+          <TrashIcon
+            size={20}
+            className="mr-2 text-red-500 dark:text-red-400"
+          />
+          <span className="dark:text-red-400">Delete</span>
+        </SecondaryMenuItem>
+      </SecondaryMenuContent>
+    </ContextMenu.Root>
+  );
+}

autogpt_platform/frontend/src/app/(platform)/build/components/FlowEditor/nodes/CustomNode/components/WebhookDisclaimer.tsx

@@ -1,10 +1,10 @@
+import { Alert, AlertDescription } from "@/components/molecules/Alert/Alert";
+import { Text } from "@/components/atoms/Text/Text";
+import Link from "next/link";
 import { useGetV2GetLibraryAgentByGraphId } from "@/app/api/__generated__/endpoints/library/library";
 import { LibraryAgent } from "@/app/api/__generated__/models/libraryAgent";
-import { Text } from "@/components/atoms/Text/Text";
-import { isValidUUID } from "@/components/contextual/Chat/helpers";
-import { Alert, AlertDescription } from "@/components/molecules/Alert/Alert";
-import Link from "next/link";
-import { parseAsString, useQueryStates } from "nuqs";
+import { useQueryStates, parseAsString } from "nuqs";
+import { isValidUUID } from "@/app/(platform)/chat/helpers";
 
 export const WebhookDisclaimer = ({ nodeId }: { nodeId: string }) => {
   const [{ flowID }] = useQueryStates({

autogpt_platform/frontend/src/app/(platform)/build/components/FlowEditor/nodes/uiSchema.ts

@@ -1,6 +1,6 @@
 export const uiSchema = {
   credentials: {
-    "ui:field": "credentials",
+    "ui:field": "custom/credential_field",
     provider: { "ui:widget": "hidden" },
     type: { "ui:widget": "hidden" },
     id: { "ui:autofocus": true },

autogpt_platform/frontend/src/app/(platform)/build/components/NewControlPanel/NewBlockMenu/BlockMenuFilters/BlockMenuFilters.tsx

@@ -0,0 +1,57 @@
+import { useBlockMenuStore } from "@/app/(platform)/build/stores/blockMenuStore";
+import { FilterChip } from "../FilterChip";
+import { categories } from "./constants";
+import { FilterSheet } from "../FilterSheet/FilterSheet";
+import { GetV2BuilderSearchFilterAnyOfItem } from "@/app/api/__generated__/models/getV2BuilderSearchFilterAnyOfItem";
+
+export const BlockMenuFilters = () => {
+  const {
+    filters,
+    addFilter,
+    removeFilter,
+    categoryCounts,
+    creators,
+    addCreator,
+    removeCreator,
+  } = useBlockMenuStore();
+
+  const handleFilterClick = (filter: GetV2BuilderSearchFilterAnyOfItem) => {
+    if (filters.includes(filter)) {
+      removeFilter(filter);
+    } else {
+      addFilter(filter);
+    }
+  };
+
+  const handleCreatorClick = (creator: string) => {
+    if (creators.includes(creator)) {
+      removeCreator(creator);
+    } else {
+      addCreator(creator);
+    }
+  };
+
+  return (
+    <div className="flex flex-wrap gap-2">
+      <FilterSheet categories={categories} />
+      {creators.length > 0 &&
+        creators.map((creator) => (
+          <FilterChip
+            key={creator}
+            name={"Created by " + creator.slice(0, 10) + "..."}
+            selected={creators.includes(creator)}
+            onClick={() => handleCreatorClick(creator)}
+          />
+        ))}
+      {categories.map((category) => (
+        <FilterChip
+          key={category.key}
+          name={category.name}
+          selected={filters.includes(category.key)}
+          onClick={() => handleFilterClick(category.key)}
+          number={categoryCounts[category.key] ?? 0}
+        />
+      ))}
+    </div>
+  );
+};

autogpt_platform/frontend/src/app/(platform)/build/components/NewControlPanel/NewBlockMenu/BlockMenuFilters/constants.ts

@@ -0,0 +1,15 @@
+import { GetV2BuilderSearchFilterAnyOfItem } from "@/app/api/__generated__/models/getV2BuilderSearchFilterAnyOfItem";
+import { CategoryKey } from "./types";
+
+export const categories: Array<{ key: CategoryKey; name: string }> = [
+  { key: GetV2BuilderSearchFilterAnyOfItem.blocks, name: "Blocks" },
+  {
+    key: GetV2BuilderSearchFilterAnyOfItem.integrations,
+    name: "Integrations",
+  },
+  {
+    key: GetV2BuilderSearchFilterAnyOfItem.marketplace_agents,
+    name: "Marketplace agents",
+  },
+  { key: GetV2BuilderSearchFilterAnyOfItem.my_agents, name: "My agents" },
+];

autogpt_platform/frontend/src/app/(platform)/build/components/NewControlPanel/NewBlockMenu/BlockMenuFilters/types.ts

@@ -0,0 +1,26 @@
+import { GetV2BuilderSearchFilterAnyOfItem } from "@/app/api/__generated__/models/getV2BuilderSearchFilterAnyOfItem";
+
+export type DefaultStateType =
+  | "suggestion"
+  | "all_blocks"
+  | "input_blocks"
+  | "action_blocks"
+  | "output_blocks"
+  | "integrations"
+  | "marketplace_agents"
+  | "my_agents";
+
+export type CategoryKey = GetV2BuilderSearchFilterAnyOfItem;
+
+export interface Filters {
+  categories: {
+    blocks: boolean;
+    integrations: boolean;
+    marketplace_agents: boolean;
+    my_agents: boolean;
+    providers: boolean;
+  };
+  createdBy: string[];
+}
+
+export type CategoryCounts = Record<CategoryKey, number>;

autogpt_platform/frontend/src/app/(platform)/build/components/NewControlPanel/NewBlockMenu/BlockMenuSearch/BlockMenuSearch.tsx

@@ -1,111 +1,14 @@
 import { Text } from "@/components/atoms/Text/Text";
-import { useBlockMenuSearch } from "./useBlockMenuSearch";
-import { InfiniteScroll } from "@/components/contextual/InfiniteScroll/InfiniteScroll";
-import { LoadingSpinner } from "@/components/__legacy__/ui/loading";
-import { SearchResponseItemsItem } from "@/app/api/__generated__/models/searchResponseItemsItem";
-import { MarketplaceAgentBlock } from "../MarketplaceAgentBlock";
-import { Block } from "../Block";
-import { UGCAgentBlock } from "../UGCAgentBlock";
-import { getSearchItemType } from "./helper";
-import { useBlockMenuStore } from "../../../../stores/blockMenuStore";
 import { blockMenuContainerStyle } from "../style";
-import { cn } from "@/lib/utils";
-import { NoSearchResult } from "../NoSearchResult";
+import { BlockMenuFilters } from "../BlockMenuFilters/BlockMenuFilters";
+import { BlockMenuSearchContent } from "../BlockMenuSearchContent/BlockMenuSearchContent";
 
 export const BlockMenuSearch = () => {
-  const {
-    searchResults,
-    isFetchingNextPage,
-    fetchNextPage,
-    hasNextPage,
-    searchLoading,
-    handleAddLibraryAgent,
-    handleAddMarketplaceAgent,
-    addingLibraryAgentId,
-    addingMarketplaceAgentSlug,
-  } = useBlockMenuSearch();
-  const { searchQuery } = useBlockMenuStore();
-
-  if (searchLoading) {
-    return (
-      <div
-        className={cn(
-          blockMenuContainerStyle,
-          "flex items-center justify-center",
-        )}
-      >
-        <LoadingSpinner className="size-13" />
-      </div>
-    );
-  }
-
-  if (searchResults.length === 0) {
-    return <NoSearchResult />;
-  }
-
   return (
     <div className={blockMenuContainerStyle}>
+      <BlockMenuFilters />
       <Text variant="body-medium">Search results</Text>
-      <InfiniteScroll
-        isFetchingNextPage={isFetchingNextPage}
-        fetchNextPage={fetchNextPage}
-        hasNextPage={hasNextPage}
-        loader={<LoadingSpinner className="size-13" />}
-        className="space-y-2.5"
-      >
-        {searchResults.map((item: SearchResponseItemsItem, index: number) => {
-          const { type, data } = getSearchItemType(item);
-          // backend give support to these 3 types only [right now] - we need to give support to integration and ai agent types in follow up PRs
-          switch (type) {
-            case "store_agent":
-              return (
-                <MarketplaceAgentBlock
-                  key={index}
-                  slug={data.slug}
-                  highlightedText={searchQuery}
-                  title={data.agent_name}
-                  image_url={data.agent_image}
-                  creator_name={data.creator}
-                  number_of_runs={data.runs}
-                  loading={addingMarketplaceAgentSlug === data.slug}
-                  onClick={() =>
-                    handleAddMarketplaceAgent({
-                      creator_name: data.creator,
-                      slug: data.slug,
-                    })
-                  }
-                />
-              );
-            case "block":
-              return (
-                <Block
-                  key={index}
-                  title={data.name}
-                  highlightedText={searchQuery}
-                  description={data.description}
-                  blockData={data}
-                />
-              );
-
-            case "library_agent":
-              return (
-                <UGCAgentBlock
-                  key={index}
-                  title={data.name}
-                  highlightedText={searchQuery}
-                  image_url={data.image_url}
-                  version={data.graph_version}
-                  edited_time={data.updated_at}
-                  isLoading={addingLibraryAgentId === data.id}
-                  onClick={() => handleAddLibraryAgent(data)}
-                />
-              );
-
-            default:
-              return null;
-          }
-        })}
-      </InfiniteScroll>
+      <BlockMenuSearchContent />
     </div>
   );
 };

autogpt_platform/frontend/src/app/(platform)/build/components/NewControlPanel/NewBlockMenu/BlockMenuSearchContent/BlockMenuSearchContent.tsx

@@ -0,0 +1,108 @@
+import { SearchResponseItemsItem } from "@/app/api/__generated__/models/searchResponseItemsItem";
+import { LoadingSpinner } from "@/components/atoms/LoadingSpinner/LoadingSpinner";
+import { InfiniteScroll } from "@/components/contextual/InfiniteScroll/InfiniteScroll";
+import { getSearchItemType } from "./helper";
+import { MarketplaceAgentBlock } from "../MarketplaceAgentBlock";
+import { Block } from "../Block";
+import { UGCAgentBlock } from "../UGCAgentBlock";
+import { useBlockMenuSearchContent } from "./useBlockMenuSearchContent";
+import { useBlockMenuStore } from "@/app/(platform)/build/stores/blockMenuStore";
+import { cn } from "@/lib/utils";
+import { blockMenuContainerStyle } from "../style";
+import { NoSearchResult } from "../NoSearchResult";
+
+export const BlockMenuSearchContent = () => {
+  const {
+    searchResults,
+    isFetchingNextPage,
+    fetchNextPage,
+    hasNextPage,
+    searchLoading,
+    handleAddLibraryAgent,
+    handleAddMarketplaceAgent,
+    addingLibraryAgentId,
+    addingMarketplaceAgentSlug,
+  } = useBlockMenuSearchContent();
+
+  const { searchQuery } = useBlockMenuStore();
+
+  if (searchLoading) {
+    return (
+      <div
+        className={cn(
+          blockMenuContainerStyle,
+          "flex items-center justify-center",
+        )}
+      >
+        <LoadingSpinner className="size-13" />
+      </div>
+    );
+  }
+
+  if (searchResults.length === 0) {
+    return <NoSearchResult />;
+  }
+
+  return (
+    <InfiniteScroll
+      isFetchingNextPage={isFetchingNextPage}
+      fetchNextPage={fetchNextPage}
+      hasNextPage={hasNextPage}
+      loader={<LoadingSpinner className="size-13" />}
+      className="space-y-2.5"
+    >
+      {searchResults.map((item: SearchResponseItemsItem, index: number) => {
+        const { type, data } = getSearchItemType(item);
+        // backend give support to these 3 types only [right now] - we need to give support to integration and ai agent types in follow up PRs
+        switch (type) {
+          case "store_agent":
+            return (
+              <MarketplaceAgentBlock
+                key={index}
+                slug={data.slug}
+                highlightedText={searchQuery}
+                title={data.agent_name}
+                image_url={data.agent_image}
+                creator_name={data.creator}
+                number_of_runs={data.runs}
+                loading={addingMarketplaceAgentSlug === data.slug}
+                onClick={() =>
+                  handleAddMarketplaceAgent({
+                    creator_name: data.creator,
+                    slug: data.slug,
+                  })
+                }
+              />
+            );
+          case "block":
+            return (
+              <Block
+                key={index}
+                title={data.name}
+                highlightedText={searchQuery}
+                description={data.description}
+                blockData={data}
+              />
+            );
+
+          case "library_agent":
+            return (
+              <UGCAgentBlock
+                key={index}
+                title={data.name}
+                highlightedText={searchQuery}
+                image_url={data.image_url}
+                version={data.graph_version}
+                edited_time={data.updated_at}
+                isLoading={addingLibraryAgentId === data.id}
+                onClick={() => handleAddLibraryAgent(data)}
+              />
+            );
+
+          default:
+            return null;
+        }
+      })}
+    </InfiniteScroll>
+  );
+};

autogpt_platform/frontend/src/app/(platform)/build/components/NewControlPanel/NewBlockMenu/BlockMenuSearchContent/useBlockMenuSearchContent.tsx

@@ -23,9 +23,19 @@ import { LibraryAgent } from "@/app/api/__generated__/models/libraryAgent";
 import { getQueryClient } from "@/lib/react-query/queryClient";
 import { useToast } from "@/components/molecules/Toast/use-toast";
 import * as Sentry from "@sentry/nextjs";
+import { GetV2BuilderSearchFilterAnyOfItem } from "@/app/api/__generated__/models/getV2BuilderSearchFilterAnyOfItem";
+
+export const useBlockMenuSearchContent = () => {
+  const {
+    searchQuery,
+    searchId,
+    setSearchId,
+    filters,
+    setCreatorsList,
+    creators,
+    setCategoryCounts,
+  } = useBlockMenuStore();
 
-export const useBlockMenuSearch = () => {
-  const { searchQuery, searchId, setSearchId } = useBlockMenuStore();
   const { toast } = useToast();
   const { addAgentToBuilder, addLibraryAgentToBuilder } =
     useAddAgentToBuilder();
@@ -57,6 +67,8 @@ export const useBlockMenuSearch = () => {
       page_size: 8,
       search_query: searchQuery,
       search_id: searchId,
+      filter: filters.length > 0 ? filters : undefined,
+      by_creator: creators.length > 0 ? creators : undefined,
     },
     {
       query: { getNextPageParam: getPaginationNextPageNumber },
@@ -98,6 +110,26 @@ export const useBlockMenuSearch = () => {
     }
   }, [searchQueryData, searchId, setSearchId]);
 
+  // from all the results, we need to get all the unique creators
+  useEffect(() => {
+    if (!searchQueryData?.pages?.length) {
+      return;
+    }
+    const latestData = okData(searchQueryData.pages.at(-1));
+    setCategoryCounts(
+      (latestData?.total_items as Record<
+        GetV2BuilderSearchFilterAnyOfItem,
+        number
+      >) || {
+        blocks: 0,
+        integrations: 0,
+        marketplace_agents: 0,
+        my_agents: 0,
+      },
+    );
+    setCreatorsList(latestData?.items || []);
+  }, [searchQueryData]);
+
   useEffect(() => {
     if (searchId && !searchQuery) {
       resetSearchSession();

autogpt_platform/frontend/src/app/(platform)/build/components/NewControlPanel/NewBlockMenu/FilterChip.tsx

@@ -1,7 +1,9 @@
 import { Button } from "@/components/__legacy__/ui/button";
 import { cn } from "@/lib/utils";
-import { X } from "lucide-react";
-import React, { ButtonHTMLAttributes } from "react";
+import { XIcon } from "@phosphor-icons/react";
+import { AnimatePresence, motion } from "framer-motion";
+
+import React, { ButtonHTMLAttributes, useState } from "react";
 
 interface Props extends ButtonHTMLAttributes<HTMLButtonElement> {
   selected?: boolean;
@@ -16,39 +18,51 @@ export const FilterChip: React.FC<Props> = ({
   className,
   ...rest
 }) => {
+  const [isHovered, setIsHovered] = useState(false);
   return (
-    <Button
-      className={cn(
-        "group w-fit space-x-1 rounded-[1.5rem] border border-zinc-300 bg-transparent px-[0.625rem] py-[0.375rem] shadow-none transition-transform duration-300 ease-in-out",
-        "hover:border-violet-500 hover:bg-transparent focus:ring-0 disabled:cursor-not-allowed",
-        selected && "border-0 bg-violet-700 hover:border",
-        className,
-      )}
-      {...rest}
-    >
-      <span
+    <AnimatePresence mode="wait">
+      <Button
+        onMouseEnter={() => setIsHovered(true)}
+        onMouseLeave={() => setIsHovered(false)}
         className={cn(
-          "font-sans text-sm font-medium leading-[1.375rem] text-zinc-600 group-hover:text-zinc-600 group-disabled:text-zinc-400",
-          selected && "text-zinc-50",
+          "group w-fit space-x-1 rounded-[1.5rem] border border-zinc-300 bg-transparent px-[0.625rem] py-[0.375rem] shadow-none",
+          "hover:border-violet-500 hover:bg-transparent focus:ring-0 disabled:cursor-not-allowed",
+          selected && "border-0 bg-violet-700 hover:border",
+          className,
         )}
+        {...rest}
       >
-        {name}
-      </span>
-      {selected && (
-        <>
-          <span className="flex h-4 w-4 items-center justify-center rounded-full bg-zinc-50 transition-all duration-300 ease-in-out group-hover:hidden">
-            <X
-              className="h-3 w-3 rounded-full text-violet-700"
-              strokeWidth={2}
-            />
-          </span>
-          {number !== undefined && (
-            <span className="hidden h-[1.375rem] items-center rounded-[1.25rem] bg-violet-700 p-[0.375rem] text-zinc-50 transition-all duration-300 ease-in-out animate-in fade-in zoom-in group-hover:flex">
-              {number > 100 ? "100+" : number}
-            </span>
+        <span
+          className={cn(
+            "font-sans text-sm font-medium leading-[1.375rem] text-zinc-600 group-hover:text-zinc-600 group-disabled:text-zinc-400",
+            selected && "text-zinc-50",
           )}
-        </>
-      )}
-    </Button>
+        >
+          {name}
+        </span>
+        {selected && !isHovered && (
+          <motion.span
+            initial={{ opacity: 0.5, scale: 0.5, filter: "blur(20px)" }}
+            animate={{ opacity: 1, scale: 1, filter: "blur(0px)" }}
+            exit={{ opacity: 0.5, scale: 0.5, filter: "blur(20px)" }}
+            transition={{ duration: 0.3, type: "spring", bounce: 0.2 }}
+            className="flex h-4 w-4 items-center justify-center rounded-full bg-zinc-50"
+          >
+            <XIcon size={12} weight="bold" className="text-violet-700" />
+          </motion.span>
+        )}
+        {number !== undefined && isHovered && (
+          <motion.span
+            initial={{ opacity: 0.5, scale: 0.5, filter: "blur(10px)" }}
+            animate={{ opacity: 1, scale: 1, filter: "blur(0px)" }}
+            exit={{ opacity: 0.5, scale: 0.5, filter: "blur(10px)" }}
+            transition={{ duration: 0.3, type: "spring", bounce: 0.2 }}
+            className="flex h-[1.375rem] items-center rounded-[1.25rem] bg-violet-700 p-[0.375rem] text-zinc-50"
+          >
+            {number > 100 ? "100+" : number}
+          </motion.span>
+        )}
+      </Button>
+    </AnimatePresence>
   );
 };

autogpt_platform/frontend/src/app/(platform)/build/components/NewControlPanel/NewBlockMenu/FilterSheet/FilterSheet.tsx

@@ -0,0 +1,156 @@
+import { FilterChip } from "../FilterChip";
+import { cn } from "@/lib/utils";
+import { CategoryKey } from "../BlockMenuFilters/types";
+import { AnimatePresence, motion } from "framer-motion";
+import { XIcon } from "@phosphor-icons/react";
+import { Button } from "@/components/atoms/Button/Button";
+import { Text } from "@/components/atoms/Text/Text";
+import { Separator } from "@/components/__legacy__/ui/separator";
+import { Checkbox } from "@/components/__legacy__/ui/checkbox";
+import { useFilterSheet } from "./useFilterSheet";
+import { INITIAL_CREATORS_TO_SHOW } from "./constant";
+
+export function FilterSheet({
+  categories,
+}: {
+  categories: Array<{ key: CategoryKey; name: string }>;
+}) {
+  const {
+    isOpen,
+    localCategories,
+    localCreators,
+    displayedCreatorsCount,
+    handleLocalCategoryChange,
+    handleToggleShowMoreCreators,
+    handleLocalCreatorChange,
+    handleClearFilters,
+    handleCloseButton,
+    handleApplyFilters,
+    hasLocalActiveFilters,
+    visibleCreators,
+    creators,
+    handleOpenFilters,
+    hasActiveFilters,
+  } = useFilterSheet();
+
+  return (
+    <div className="m-0 inline w-fit p-0">
+      <FilterChip
+        name={hasActiveFilters() ? "Edit filters" : "All filters"}
+        onClick={handleOpenFilters}
+      />
+
+      <AnimatePresence>
+        {isOpen && (
+          <motion.div
+            className={cn(
+              "absolute bottom-2 left-2 top-2 z-20 w-3/4 max-w-[22.5rem] space-y-4 overflow-hidden rounded-[0.75rem] bg-white pb-4 shadow-[0_4px_12px_2px_rgba(0,0,0,0.1)]",
+            )}
+            initial={{ x: "-100%", filter: "blur(10px)" }}
+            animate={{ x: 0, filter: "blur(0px)" }}
+            exit={{ x: "-110%", filter: "blur(10px)" }}
+            transition={{ duration: 0.4, type: "spring", bounce: 0.2 }}
+          >
+            {/* Top section */}
+            <div className="flex items-center justify-between px-5 pt-4">
+              <Text variant="body">Filters</Text>
+              <Button
+                className="p-0"
+                variant="ghost"
+                size="icon"
+                onClick={handleCloseButton}
+              >
+                <XIcon size={20} />
+              </Button>
+            </div>
+
+            <Separator className="h-[1px] w-full text-zinc-300" />
+
+            {/* Category section */}
+            <div className="space-y-4 px-5">
+              <Text variant="large">Categories</Text>
+              <div className="space-y-2">
+                {categories.map((category) => (
+                  <div
+                    key={category.key}
+                    className="flex items-center space-x-2"
+                  >
+                    <Checkbox
+                      id={category.key}
+                      checked={localCategories.includes(category.key)}
+                      onCheckedChange={() =>
+                        handleLocalCategoryChange(category.key)
+                      }
+                      className="border border-[#D4D4D4] shadow-none data-[state=checked]:border-none data-[state=checked]:bg-violet-700 data-[state=checked]:text-white"
+                    />
+                    <label
+                      htmlFor={category.key}
+                      className="font-sans text-sm leading-[1.375rem] text-zinc-600"
+                    >
+                      {category.name}
+                    </label>
+                  </div>
+                ))}
+              </div>
+            </div>
+
+            {/* Created by section */}
+            <div className="space-y-4 px-5">
+              <p className="font-sans text-base font-medium text-zinc-800">
+                Created by
+              </p>
+              <div className="space-y-2">
+                {visibleCreators.map((creator, i) => (
+                  <div key={i} className="flex items-center space-x-2">
+                    <Checkbox
+                      id={`creator-${creator}`}
+                      checked={localCreators.includes(creator)}
+                      onCheckedChange={() => handleLocalCreatorChange(creator)}
+                      className="border border-[#D4D4D4] shadow-none data-[state=checked]:border-none data-[state=checked]:bg-violet-700 data-[state=checked]:text-white"
+                    />
+                    <label
+                      htmlFor={`creator-${creator}`}
+                      className="font-sans text-sm leading-[1.375rem] text-zinc-600"
+                    >
+                      {creator}
+                    </label>
+                  </div>
+                ))}
+              </div>
+              {creators.length > INITIAL_CREATORS_TO_SHOW && (
+                <Button
+                  variant={"link"}
+                  className="m-0 p-0 font-sans text-sm font-medium leading-[1.375rem] text-zinc-800 underline hover:text-zinc-600"
+                  onClick={handleToggleShowMoreCreators}
+                >
+                  {displayedCreatorsCount < creators.length ? "More" : "Less"}
+                </Button>
+              )}
+            </div>
+
+            {/* Footer section */}
+            <div className="fixed bottom-0 flex w-full justify-between gap-3 border-t border-zinc-200 bg-white px-5 py-3">
+              <Button
+                size="small"
+                variant={"outline"}
+                onClick={handleClearFilters}
+                className="rounded-[8px] px-2 py-1.5"
+              >
+                Clear
+              </Button>
+
+              <Button
+                size="small"
+                onClick={handleApplyFilters}
+                disabled={!hasLocalActiveFilters()}
+                className="rounded-[8px] px-2 py-1.5"
+              >
+                Apply filters
+              </Button>
+            </div>
+          </motion.div>
+        )}
+      </AnimatePresence>
+    </div>
+  );
+}

autogpt_platform/frontend/src/app/(platform)/build/components/NewControlPanel/NewBlockMenu/FilterSheet/constant.ts

@@ -0,0 +1 @@
+export const INITIAL_CREATORS_TO_SHOW = 5;

autogpt_platform/frontend/src/app/(platform)/build/components/NewControlPanel/NewBlockMenu/FilterSheet/useFilterSheet.ts

@@ -0,0 +1,100 @@
+import { useBlockMenuStore } from "@/app/(platform)/build/stores/blockMenuStore";
+import { useState } from "react";
+import { INITIAL_CREATORS_TO_SHOW } from "./constant";
+import { GetV2BuilderSearchFilterAnyOfItem } from "@/app/api/__generated__/models/getV2BuilderSearchFilterAnyOfItem";
+
+export const useFilterSheet = () => {
+  const { filters, creators_list, creators, setFilters, setCreators } =
+    useBlockMenuStore();
+
+  const [isOpen, setIsOpen] = useState(false);
+  const [localCategories, setLocalCategories] =
+    useState<GetV2BuilderSearchFilterAnyOfItem[]>(filters);
+  const [localCreators, setLocalCreators] = useState<string[]>(creators);
+  const [displayedCreatorsCount, setDisplayedCreatorsCount] = useState(
+    INITIAL_CREATORS_TO_SHOW,
+  );
+
+  const handleLocalCategoryChange = (
+    category: GetV2BuilderSearchFilterAnyOfItem,
+  ) => {
+    setLocalCategories((prev) => {
+      if (prev.includes(category)) {
+        return prev.filter((c) => c !== category);
+      }
+      return [...prev, category];
+    });
+  };
+
+  const hasActiveFilters = () => {
+    return filters.length > 0 || creators.length > 0;
+  };
+
+  const handleToggleShowMoreCreators = () => {
+    if (displayedCreatorsCount < creators.length) {
+      setDisplayedCreatorsCount(creators.length);
+    } else {
+      setDisplayedCreatorsCount(INITIAL_CREATORS_TO_SHOW);
+    }
+  };
+
+  const handleLocalCreatorChange = (creator: string) => {
+    setLocalCreators((prev) => {
+      if (prev.includes(creator)) {
+        return prev.filter((c) => c !== creator);
+      }
+      return [...prev, creator];
+    });
+  };
+
+  const handleClearFilters = () => {
+    setLocalCategories([]);
+    setLocalCreators([]);
+    setDisplayedCreatorsCount(INITIAL_CREATORS_TO_SHOW);
+  };
+
+  const handleCloseButton = () => {
+    setIsOpen(false);
+    setLocalCategories(filters);
+    setLocalCreators(creators);
+    setDisplayedCreatorsCount(INITIAL_CREATORS_TO_SHOW);
+  };
+
+  const handleApplyFilters = () => {
+    setFilters(localCategories);
+    setCreators(localCreators);
+    setIsOpen(false);
+  };
+
+  const handleOpenFilters = () => {
+    setIsOpen(true);
+    setLocalCategories(filters);
+    setLocalCreators(creators);
+  };
+
+  const hasLocalActiveFilters = () => {
+    return localCategories.length > 0 || localCreators.length > 0;
+  };
+
+  const visibleCreators = creators_list.slice(0, displayedCreatorsCount);
+
+  return {
+    creators,
+    isOpen,
+    setIsOpen,
+    localCategories,
+    localCreators,
+    displayedCreatorsCount,
+    setDisplayedCreatorsCount,
+    handleLocalCategoryChange,
+    handleToggleShowMoreCreators,
+    handleLocalCreatorChange,
+    handleClearFilters,
+    handleCloseButton,
+    handleOpenFilters,
+    handleApplyFilters,
+    hasLocalActiveFilters,
+    visibleCreators,
+    hasActiveFilters,
+  };
+};

autogpt_platform/frontend/src/app/(platform)/build/components/legacy-builder/ExpandableOutputDialog.tsx

@@ -1,9 +1,9 @@
-import type { OutputMetadata } from "@/components/contextual/OutputRenderers";
+import type { OutputMetadata } from "@/app/(platform)/library/agents/[id]/components/NewAgentLibraryView/components/selected-views/OutputRenderers";
 import {
   globalRegistry,
   OutputActions,
   OutputItem,
-} from "@/components/contextual/OutputRenderers";
+} from "@/app/(platform)/library/agents/[id]/components/NewAgentLibraryView/components/selected-views/OutputRenderers";
 import { Dialog } from "@/components/molecules/Dialog/Dialog";
 import { beautifyString } from "@/lib/utils";
 import { Flag, useGetFlag } from "@/services/feature-flags/use-get-flag";

autogpt_platform/frontend/src/app/(platform)/build/components/legacy-builder/NodeInputs.tsx

@@ -3,6 +3,7 @@ import {
   CustomNodeData,
 } from "@/app/(platform)/build/components/legacy-builder/CustomNode/CustomNode";
 import { NodeTableInput } from "@/app/(platform)/build/components/legacy-builder/NodeTableInput";
+import { CredentialsInput } from "@/app/(platform)/library/agents/[id]/components/NewAgentLibraryView/components/modals/CredentialsInputs/CredentialsInputs";
 import { Button } from "@/components/__legacy__/ui/button";
 import { Calendar } from "@/components/__legacy__/ui/calendar";
 import { LocalValuedInput } from "@/components/__legacy__/ui/input";
@@ -27,7 +28,6 @@ import {
   SelectValue,
 } from "@/components/__legacy__/ui/select";
 import { Switch } from "@/components/atoms/Switch/Switch";
-import { CredentialsInput } from "@/components/contextual/CredentialsInputs/CredentialsInputs";
 import { GoogleDrivePickerInput } from "@/components/contextual/GoogleDrivePicker/GoogleDrivePickerInput";
 import {
   BlockIOArraySubSchema,

autogpt_platform/frontend/src/app/(platform)/build/stores/blockMenuStore.ts

@@ -1,12 +1,30 @@
 import { create } from "zustand";
 import { DefaultStateType } from "../components/NewControlPanel/NewBlockMenu/types";
+import { SearchResponseItemsItem } from "@/app/api/__generated__/models/searchResponseItemsItem";
+import { getSearchItemType } from "../components/NewControlPanel/NewBlockMenu/BlockMenuSearchContent/helper";
+import { StoreAgent } from "@/app/api/__generated__/models/storeAgent";
+import { GetV2BuilderSearchFilterAnyOfItem } from "@/app/api/__generated__/models/getV2BuilderSearchFilterAnyOfItem";
 
 type BlockMenuStore = {
   searchQuery: string;
   searchId: string | undefined;
   defaultState: DefaultStateType;
   integration: string | undefined;
+  filters: GetV2BuilderSearchFilterAnyOfItem[];
+  creators: string[];
+  creators_list: string[];
+  categoryCounts: Record<GetV2BuilderSearchFilterAnyOfItem, number>;
 
+  setCategoryCounts: (
+    counts: Record<GetV2BuilderSearchFilterAnyOfItem, number>,
+  ) => void;
+  setCreatorsList: (searchData: SearchResponseItemsItem[]) => void;
+  addCreator: (creator: string) => void;
+  setCreators: (creators: string[]) => void;
+  removeCreator: (creator: string) => void;
+  addFilter: (filter: GetV2BuilderSearchFilterAnyOfItem) => void;
+  setFilters: (filters: GetV2BuilderSearchFilterAnyOfItem[]) => void;
+  removeFilter: (filter: GetV2BuilderSearchFilterAnyOfItem) => void;
   setSearchQuery: (query: string) => void;
   setSearchId: (id: string | undefined) => void;
   setDefaultState: (state: DefaultStateType) => void;
@@ -19,11 +37,44 @@ export const useBlockMenuStore = create<BlockMenuStore>((set) => ({
   searchId: undefined,
   defaultState: DefaultStateType.SUGGESTION,
   integration: undefined,
+  filters: [],
+  creators: [], // creator filters that are applied to the search results
+  creators_list: [], // all creators that are available to filter by
+  categoryCounts: {
+    blocks: 0,
+    integrations: 0,
+    marketplace_agents: 0,
+    my_agents: 0,
+  },
 
+  setCategoryCounts: (counts) => set({ categoryCounts: counts }),
+  setCreatorsList: (searchData) => {
+    const marketplaceAgents = searchData.filter((item) => {
+      return getSearchItemType(item).type === "store_agent";
+    }) as StoreAgent[];
+
+    const newCreators = marketplaceAgents.map((agent) => agent.creator);
+
+    set((state) => ({
+      creators_list: Array.from(
+        new Set([...state.creators_list, ...newCreators]),
+      ),
+    }));
+  },
+  setCreators: (creators) => set({ creators }),
+  setFilters: (filters) => set({ filters }),
   setSearchQuery: (query) => set({ searchQuery: query }),
   setSearchId: (id) => set({ searchId: id }),
   setDefaultState: (state) => set({ defaultState: state }),
   setIntegration: (integration) => set({ integration }),
+  addFilter: (filter) =>
+    set((state) => ({ filters: [...state.filters, filter] })),
+  removeFilter: (filter) =>
+    set((state) => ({ filters: state.filters.filter((f) => f !== filter) })),
+  addCreator: (creator) =>
+    set((state) => ({ creators: [...state.creators, creator] })),
+  removeCreator: (creator) =>
+    set((state) => ({ creators: state.creators.filter((c) => c !== creator) })),
   reset: () =>
     set({
       searchQuery: "",

autogpt_platform/frontend/src/app/(platform)/build/stores/nodeStore.ts

@@ -68,6 +68,9 @@ type NodeStore = {
   clearAllNodeErrors: () => void; // Add this
 
   syncHardcodedValuesWithHandleIds: (nodeId: string) => void;
+
+  // Credentials optional helpers
+  setCredentialsOptional: (nodeId: string, optional: boolean) => void;
 };
 
 export const useNodeStore = create<NodeStore>((set, get) => ({
@@ -226,6 +229,9 @@ export const useNodeStore = create<NodeStore>((set, get) => ({
         ...(node.data.metadata?.customized_name !== undefined && {
           customized_name: node.data.metadata.customized_name,
         }),
+        ...(node.data.metadata?.credentials_optional !== undefined && {
+          credentials_optional: node.data.metadata.credentials_optional,
+        }),
       },
     };
   },
@@ -342,4 +348,30 @@ export const useNodeStore = create<NodeStore>((set, get) => ({
       }));
     }
   },
+
+  setCredentialsOptional: (nodeId: string, optional: boolean) => {
+    set((state) => ({
+      nodes: state.nodes.map((n) =>
+        n.id === nodeId
+          ? {
+              ...n,
+              data: {
+                ...n.data,
+                metadata: {
+                  ...n.data.metadata,
+                  credentials_optional: optional,
+                },
+              },
+            }
+          : n,
+      ),
+    }));
+
+    const newState = {
+      nodes: get().nodes,
+      edges: useEdgeStore.getState().edges,
+    };
+
+    useHistoryStore.getState().pushState(newState);
+  },
 }));

autogpt_platform/frontend/src/app/(platform)/chat/page.tsx

@@ -1,24 +1,16 @@
 "use client";
 
-import { Button } from "@/components/__legacy__/ui/button";
-import { scrollbarStyles } from "@/components/styles/scrollbars";
-import { cn } from "@/lib/utils";
-import { Flag, useGetFlag } from "@/services/feature-flags/use-get-flag";
-import { X } from "@phosphor-icons/react";
-import { usePathname, useRouter } from "next/navigation";
-import { useEffect } from "react";
-import { Drawer } from "vaul";
-
-import { ChatContainer } from "@/components/contextual/Chat/components/ChatContainer/ChatContainer";
-import { ChatErrorState } from "@/components/contextual/Chat/components/ChatErrorState/ChatErrorState";
-import { ChatLoadingState } from "@/components/contextual/Chat/components/ChatLoadingState/ChatLoadingState";
 import { useChatPage } from "./useChatPage";
+import { ChatContainer } from "./components/ChatContainer/ChatContainer";
+import { ChatErrorState } from "./components/ChatErrorState/ChatErrorState";
+import { ChatLoadingState } from "./components/ChatLoadingState/ChatLoadingState";
+import { useGetFlag, Flag } from "@/services/feature-flags/use-get-flag";
+import { useRouter } from "next/navigation";
+import { useEffect } from "react";
 
 export default function ChatPage() {
   const isChatEnabled = useGetFlag(Flag.CHAT);
   const router = useRouter();
-  const pathname = usePathname();
-  const isOpen = pathname === "/chat";
   const {
     messages,
     isLoading,
@@ -36,88 +28,56 @@ export default function ChatPage() {
     }
   }, [isChatEnabled, router]);
 
-  function handleOpenChange(open: boolean) {
-    if (!open) {
-      router.replace("/marketplace");
-    }
-  }
-
   if (isChatEnabled === null || isChatEnabled === false) {
     return null;
   }
 
   return (
-    <Drawer.Root
-      open={isOpen}
-      onOpenChange={handleOpenChange}
-      direction="right"
-      modal={false}
-    >
-      <Drawer.Portal>
-        <Drawer.Content
-          className={cn(
-            "fixed right-0 top-0 z-50 flex h-full w-1/2 flex-col border-l border-zinc-200 bg-white dark:border-zinc-800 dark:bg-zinc-900",
-            scrollbarStyles,
-          )}
-        >
-          {/* Header */}
-          <header className="shrink-0 border-b border-zinc-200 bg-white p-4 dark:border-zinc-800 dark:bg-zinc-900">
-            <div className="flex items-center justify-between">
-              <Drawer.Title className="text-xl font-semibold">
-                Chat
-              </Drawer.Title>
-              <div className="flex items-center gap-4">
-                {sessionId && (
-                  <>
-                    <span className="text-sm text-zinc-600 dark:text-zinc-400">
-                      Session: {sessionId.slice(0, 8)}...
-                    </span>
-                    <button
-                      onClick={clearSession}
-                      className="text-sm text-zinc-600 hover:text-zinc-900 dark:text-zinc-400 dark:hover:text-zinc-100"
-                    >
-                      New Chat
-                    </button>
-                  </>
-                )}
-                <Button
-                  variant="link"
-                  aria-label="Close"
-                  onClick={() => handleOpenChange(false)}
-                  className="!focus-visible:ring-0 p-0"
-                >
-                  <X width="1.5rem" />
-                </Button>
-              </div>
+    <div className="flex h-full flex-col">
+      {/* Header */}
+      <header className="border-b border-zinc-200 bg-white p-4 dark:border-zinc-800 dark:bg-zinc-900">
+        <div className="container mx-auto flex items-center justify-between">
+          <h1 className="text-xl font-semibold">Chat</h1>
+          {sessionId && (
+            <div className="flex items-center gap-4">
+              <span className="text-sm text-zinc-600 dark:text-zinc-400">
+                Session: {sessionId.slice(0, 8)}...
+              </span>
+              <button
+                onClick={clearSession}
+                className="text-sm text-zinc-600 hover:text-zinc-900 dark:text-zinc-400 dark:hover:text-zinc-100"
+              >
+                New Chat
+              </button>
             </div>
-          </header>
+          )}
+        </div>
+      </header>
 
-          {/* Main Content */}
-          <main className="flex min-h-0 flex-1 flex-col overflow-hidden">
-            {/* Loading State - show when explicitly loading/creating OR when we don't have a session yet and no error */}
-            {(isLoading || isCreating || (!sessionId && !error)) && (
-              <ChatLoadingState
-                message={isCreating ? "Creating session..." : "Loading..."}
-              />
-            )}
+      {/* Main Content */}
+      <main className="container mx-auto flex flex-1 flex-col overflow-hidden">
+        {/* Loading State - show when explicitly loading/creating OR when we don't have a session yet and no error */}
+        {(isLoading || isCreating || (!sessionId && !error)) && (
+          <ChatLoadingState
+            message={isCreating ? "Creating session..." : "Loading..."}
+          />
+        )}
 
-            {/* Error State */}
-            {error && !isLoading && (
-              <ChatErrorState error={error} onRetry={createSession} />
-            )}
+        {/* Error State */}
+        {error && !isLoading && (
+          <ChatErrorState error={error} onRetry={createSession} />
+        )}
 
-            {/* Session Content */}
-            {sessionId && !isLoading && !error && (
-              <ChatContainer
-                sessionId={sessionId}
-                initialMessages={messages}
-                onRefreshSession={refreshSession}
-                className="flex-1"
-              />
-            )}
-          </main>
-        </Drawer.Content>
-      </Drawer.Portal>
-    </Drawer.Root>
+        {/* Session Content */}
+        {sessionId && !isLoading && !error && (
+          <ChatContainer
+            sessionId={sessionId}
+            initialMessages={messages}
+            onRefreshSession={refreshSession}
+            className="flex-1"
+          />
+        )}
+      </main>
+    </div>
   );
 }

autogpt_platform/frontend/src/app/(platform)/chat/useChatPage.ts

@@ -1,11 +1,11 @@
 "use client";
 
-import { useChatSession } from "@/components/contextual/Chat/useChatSession";
-import { useChatStream } from "@/components/contextual/Chat/useChatStream";
-import { useSupabase } from "@/lib/supabase/hooks/useSupabase";
-import { useRouter, useSearchParams } from "next/navigation";
 import { useEffect, useRef } from "react";
+import { useRouter, useSearchParams } from "next/navigation";
 import { toast } from "sonner";
+import { useChatSession } from "@/app/(platform)/chat/useChatSession";
+import { useSupabase } from "@/lib/supabase/hooks/useSupabase";
+import { useChatStream } from "@/app/(platform)/chat/useChatStream";
 
 export function useChatPage() {
   const router = useRouter();

autogpt_platform/frontend/src/app/(platform)/layout.tsx

@@ -1,14 +1,13 @@
 import { Navbar } from "@/components/layout/Navbar/Navbar";
-import { ReactNode } from "react";
 import { AdminImpersonationBanner } from "./admin/components/AdminImpersonationBanner";
-import { PlatformLayoutContent } from "./PlatformLayoutContent";
+import { ReactNode } from "react";
 
 export default function PlatformLayout({ children }: { children: ReactNode }) {
   return (
-    <PlatformLayoutContent>
+    <main className="flex h-screen w-full flex-col">
       <Navbar />
       <AdminImpersonationBanner />
-      {children}
-    </PlatformLayoutContent>
+      <section className="flex-1">{children}</section>
+    </main>
   );
 }

autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/NewAgentLibraryView/components/modals/AgentInputsReadOnly/AgentInputsReadOnly.tsx

@@ -3,8 +3,8 @@
 import type { LibraryAgent } from "@/app/api/__generated__/models/libraryAgent";
 import { Text } from "@/components/atoms/Text/Text";
 import type { CredentialsMetaInput } from "@/lib/autogpt-server-api/types";
-import { CredentialsInput } from "../../../../../../../../../../components/contextual/CredentialsInputs/CredentialsInputs";
-import { RunAgentInputs } from "../../../../../../../../../../components/contextual/RunAgentInputs/RunAgentInputs";
+import { CredentialsInput } from "../CredentialsInputs/CredentialsInputs";
+import { RunAgentInputs } from "../RunAgentInputs/RunAgentInputs";
 import { getAgentCredentialsFields, getAgentInputFields } from "./helpers";
 
 type Props = {

autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/NewAgentLibraryView/components/modals/CredentialsInputs/CredentialsInputs.tsx

@@ -34,6 +34,7 @@ type Props = {
   onSelectCredentials: (newValue?: CredentialsMetaInput) => void;
   onLoaded?: (loaded: boolean) => void;
   readOnly?: boolean;
+  isOptional?: boolean;
   showTitle?: boolean;
 };
 
@@ -45,6 +46,7 @@ export function CredentialsInput({
   siblingInputs,
   onLoaded,
   readOnly = false,
+  isOptional = false,
   showTitle = true,
 }: Props) {
   const hookData = useCredentialsInput({
@@ -54,6 +56,7 @@ export function CredentialsInput({
     siblingInputs,
     onLoaded,
     readOnly,
+    isOptional,
   });
 
   if (!isLoaded(hookData)) {
@@ -94,7 +97,14 @@ export function CredentialsInput({
     <div className={cn("mb-6", className)}>
       {showTitle && (
         <div className="mb-2 flex items-center gap-2">
-          <Text variant="large-medium">{displayName} credentials</Text>
+          <Text variant="large-medium">
+            {displayName} credentials
+            {isOptional && (
+              <span className="ml-1 text-sm font-normal text-gray-500">
+                (optional)
+              </span>
+            )}
+          </Text>
           {schema.description && (
             <InformationTooltip description={schema.description} />
           )}
@@ -103,14 +113,16 @@ export function CredentialsInput({
 
       {hasCredentialsToShow ? (
         <>
-          {credentialsToShow.length > 1 && !readOnly ? (
+          {(credentialsToShow.length > 1 || isOptional) && !readOnly ? (
             <CredentialsSelect
               credentials={credentialsToShow}
               provider={provider}
               displayName={displayName}
               selectedCredentials={selectedCredential}
               onSelectCredential={handleCredentialSelect}
+              onClearCredential={() => onSelectCredential(undefined)}
               readOnly={readOnly}
+              allowNone={isOptional}
             />
           ) : (
             <div className="mb-4 space-y-2">

autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/NewAgentLibraryView/components/modals/CredentialsInputs/components/CredentialsSelect/CredentialsSelect.tsx

@@ -23,7 +23,9 @@ interface Props {
   displayName: string;
   selectedCredentials?: CredentialsMetaInput;
   onSelectCredential: (credentialId: string) => void;
+  onClearCredential?: () => void;
   readOnly?: boolean;
+  allowNone?: boolean;
 }
 
 export function CredentialsSelect({
@@ -32,20 +34,30 @@ export function CredentialsSelect({
   displayName,
   selectedCredentials,
   onSelectCredential,
+  onClearCredential,
   readOnly = false,
+  allowNone = true,
 }: Props) {
-  // Auto-select first credential if none is selected
+  // Auto-select first credential if none is selected (only if allowNone is false)
   useEffect(() => {
-    if (!selectedCredentials && credentials.length > 0) {
+    if (!allowNone && !selectedCredentials && credentials.length > 0) {
       onSelectCredential(credentials[0].id);
     }
-  }, [selectedCredentials, credentials, onSelectCredential]);
+  }, [allowNone, selectedCredentials, credentials, onSelectCredential]);
+
+  const handleValueChange = (value: string) => {
+    if (value === "__none__") {
+      onClearCredential?.();
+    } else {
+      onSelectCredential(value);
+    }
+  };
 
   return (
     <div className="mb-4 w-full">
       <Select
-        value={selectedCredentials?.id || ""}
-        onValueChange={(value) => onSelectCredential(value)}
+        value={selectedCredentials?.id || (allowNone ? "__none__" : "")}
+        onValueChange={handleValueChange}
       >
         <SelectTrigger className="h-auto min-h-12 w-full rounded-medium border-zinc-200 p-0 pr-4 shadow-none">
           {selectedCredentials ? (
@@ -70,6 +82,15 @@ export function CredentialsSelect({
           )}
         </SelectTrigger>
         <SelectContent>
+          {allowNone && (
+            <SelectItem key="__none__" value="__none__">
+              <div className="flex items-center gap-2">
+                <Text variant="body" className="tracking-tight text-gray-500">
+                  None (skip this credential)
+                </Text>
+              </div>
+            </SelectItem>
+          )}
           {credentials.map((credential) => (
             <SelectItem key={credential.id} value={credential.id}>
               <div className="flex items-center gap-2">

autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/NewAgentLibraryView/components/modals/CredentialsInputs/useCredentialsInput.ts

@@ -22,6 +22,7 @@ type Params = {
   siblingInputs?: Record<string, any>;
   onLoaded?: (loaded: boolean) => void;
   readOnly?: boolean;
+  isOptional?: boolean;
 };
 
 export function useCredentialsInput({
@@ -31,6 +32,7 @@ export function useCredentialsInput({
   siblingInputs,
   onLoaded,
   readOnly = false,
+  isOptional = false,
 }: Params) {
   const [isAPICredentialsModalOpen, setAPICredentialsModalOpen] =
     useState(false);
@@ -99,13 +101,20 @@ export function useCredentialsInput({
       : null;
   }, [credentials]);
 
-  // Auto-select the one available credential
+  // Auto-select the one available credential (only if not optional)
   useEffect(() => {
     if (readOnly) return;
+    if (isOptional) return; // Don't auto-select when credential is optional
     if (singleCredential && !selectedCredential) {
       onSelectCredential(singleCredential);
     }
-  }, [singleCredential, selectedCredential, onSelectCredential, readOnly]);
+  }, [
+    singleCredential,
+    selectedCredential,
+    onSelectCredential,
+    readOnly,
+    isOptional,
+  ]);
 
   if (
     !credentials ||

autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/NewAgentLibraryView/components/modals/RunAgentModal/components/ModalRunSection/ModalRunSection.tsx

@@ -1,13 +1,14 @@
+import { CredentialsInput } from "@/app/(platform)/library/agents/[id]/components/NewAgentLibraryView/components/modals/CredentialsInputs/CredentialsInputs";
 import { Input } from "@/components/atoms/Input/Input";
-import { CredentialsInput } from "@/components/contextual/CredentialsInputs/CredentialsInputs";
 import { InformationTooltip } from "@/components/molecules/InformationTooltip/InformationTooltip";
-import { RunAgentInputs } from "../../../../../../../../../../../../components/contextual/RunAgentInputs/RunAgentInputs";
+import { RunAgentInputs } from "../../../RunAgentInputs/RunAgentInputs";
 import { useRunAgentModalContext } from "../../context";
 import { ModalSection } from "../ModalSection/ModalSection";
 import { WebhookTriggerBanner } from "../WebhookTriggerBanner/WebhookTriggerBanner";
 
 export function ModalRunSection() {
   const {
+    agent,
     defaultRunType,
     presetName,
     setPresetName,
@@ -24,6 +25,11 @@ export function ModalRunSection() {
   const inputFields = Object.entries(agentInputFields || {});
   const credentialFields = Object.entries(agentCredentialsInputFields || {});
 
+  // Get the list of required credentials from the schema
+  const requiredCredentials = new Set(
+    (agent.credentials_input_schema?.required as string[]) || [],
+  );
+
   return (
     <div className="flex flex-col gap-4">
       {defaultRunType === "automatic-trigger" ||
@@ -99,14 +105,12 @@ export function ModalRunSection() {
                   schema={
                     { ...inputSubSchema, discriminator: undefined } as any
                   }
-                  selectedCredentials={
-                    (inputCredentials && inputCredentials[key]) ??
-                    inputSubSchema.default
-                  }
+                  selectedCredentials={inputCredentials?.[key]}
                   onSelectCredentials={(value) =>
                     setInputCredentialsValue(key, value)
                   }
                   siblingInputs={inputValues}
+                  isOptional={!requiredCredentials.has(key)}
                 />
               ),
             )}

autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/NewAgentLibraryView/components/modals/RunAgentModal/useAgentRunModal.tsx

@@ -163,15 +163,21 @@ export function useAgentRunModal(
   }, [agentInputSchema.required, inputValues]);
 
   const [allCredentialsAreSet, missingCredentials] = useMemo(() => {
-    const availableCredentials = new Set(Object.keys(inputCredentials));
-    const allCredentials = new Set(
-      Object.keys(agentCredentialsInputFields || {}) ?? [],
-    );
-    const missing = [...allCredentials].filter(
-      (key) => !availableCredentials.has(key),
+    // Only check required credentials from schema, not all properties
+    // Credentials marked as optional in node metadata won't be in the required array
+    const requiredCredentials = new Set(
+      (agent.credentials_input_schema?.required as string[]) || [],
     );
+
+    // Check if required credentials have valid id (not just key existence)
+    // A credential is valid only if it has an id field set
+    const missing = [...requiredCredentials].filter((key) => {
+      const cred = inputCredentials[key];
+      return !cred || !cred.id;
+    });
+
     return [missing.length === 0, missing];
-  }, [agentCredentialsInputFields, inputCredentials]);
+  }, [agent.credentials_input_schema, inputCredentials]);
 
   const credentialsRequired = useMemo(
     () => Object.keys(agentCredentialsInputFields || {}).length > 0,
@@ -239,12 +245,18 @@ export function useAgentRunModal(
       });
     } else {
       // Manual execution
+      // Filter out incomplete credentials (optional ones not selected)
+      // Only send credentials that have a valid id field
+      const validCredentials = Object.fromEntries(
+        Object.entries(inputCredentials).filter(([_, cred]) => cred && cred.id),
+      );
+
       executeGraphMutation.mutate({
         graphId: agent.graph_id,
         graphVersion: agent.graph_version,
         data: {
           inputs: inputValues,
-          credentials_inputs: inputCredentials,
+          credentials_inputs: validCredentials,
           source: "library",
         },
       });

autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/NewAgentLibraryView/components/other/EmptyTasks.tsx

@@ -1,17 +1,25 @@
 "use client";
 
 import { getV1GetGraphVersion } from "@/app/api/__generated__/endpoints/graphs/graphs";
+import {
+  getGetV2ListLibraryAgentsQueryKey,
+  useDeleteV2DeleteLibraryAgent,
+} from "@/app/api/__generated__/endpoints/library/library";
 import { GraphExecutionJobInfo } from "@/app/api/__generated__/models/graphExecutionJobInfo";
 import { GraphExecutionMeta } from "@/app/api/__generated__/models/graphExecutionMeta";
 import { LibraryAgent } from "@/app/api/__generated__/models/libraryAgent";
 import { LibraryAgentPreset } from "@/app/api/__generated__/models/libraryAgentPreset";
 import { Button } from "@/components/atoms/Button/Button";
 import { Text } from "@/components/atoms/Text/Text";
+import { Dialog } from "@/components/molecules/Dialog/Dialog";
 import { ShowMoreText } from "@/components/molecules/ShowMoreText/ShowMoreText";
 import { useToast } from "@/components/molecules/Toast/use-toast";
 import { exportAsJSONFile } from "@/lib/utils";
 import { formatDate } from "@/lib/utils/time";
+import { useQueryClient } from "@tanstack/react-query";
 import Link from "next/link";
+import { useRouter } from "next/navigation";
+import { useState } from "react";
 import { RunAgentModal } from "../modals/RunAgentModal/RunAgentModal";
 import { RunDetailCard } from "../selected-views/RunDetailCard/RunDetailCard";
 import { EmptyTasksIllustration } from "./EmptyTasksIllustration";
@@ -30,6 +38,41 @@ export function EmptyTasks({
   onScheduleCreated,
 }: Props) {
   const { toast } = useToast();
+  const queryClient = useQueryClient();
+  const router = useRouter();
+  const [showDeleteDialog, setShowDeleteDialog] = useState(false);
+  const [isDeletingAgent, setIsDeletingAgent] = useState(false);
+
+  const { mutateAsync: deleteAgent } = useDeleteV2DeleteLibraryAgent();
+
+  async function handleDeleteAgent() {
+    if (!agent.id) return;
+
+    setIsDeletingAgent(true);
+
+    try {
+      await deleteAgent({ libraryAgentId: agent.id });
+
+      await queryClient.refetchQueries({
+        queryKey: getGetV2ListLibraryAgentsQueryKey(),
+      });
+
+      toast({ title: "Agent deleted" });
+      setShowDeleteDialog(false);
+      router.push("/library");
+    } catch (error: unknown) {
+      toast({
+        title: "Failed to delete agent",
+        description:
+          error instanceof Error
+            ? error.message
+            : "An unexpected error occurred.",
+        variant: "destructive",
+      });
+    } finally {
+      setIsDeletingAgent(false);
+    }
+  }
 
   async function handleExport() {
     try {
@@ -147,9 +190,50 @@ export function EmptyTasks({
             <Button variant="secondary" size="small" onClick={handleExport}>
               Export agent to file
             </Button>
+            <Button
+              variant="secondary"
+              size="small"
+              onClick={() => setShowDeleteDialog(true)}
+            >
+              Delete agent
+            </Button>
           </div>
         </div>
       </div>
+
+      <Dialog
+        controlled={{
+          isOpen: showDeleteDialog,
+          set: setShowDeleteDialog,
+        }}
+        styling={{ maxWidth: "32rem" }}
+        title="Delete agent"
+      >
+        <Dialog.Content>
+          <div>
+            <Text variant="large">
+              Are you sure you want to delete this agent? This action cannot be
+              undone.
+            </Text>
+            <Dialog.Footer>
+              <Button
+                variant="secondary"
+                disabled={isDeletingAgent}
+                onClick={() => setShowDeleteDialog(false)}
+              >
+                Cancel
+              </Button>
+              <Button
+                variant="destructive"
+                onClick={handleDeleteAgent}
+                loading={isDeletingAgent}
+              >
+                Delete Agent
+              </Button>
+            </Dialog.Footer>
+          </div>
+        </Dialog.Content>
+      </Dialog>
     </div>
   );
 }

autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/NewAgentLibraryView/components/selected-views/OutputRenderers/renderers/CodeRenderer.tsx

@@ -83,7 +83,9 @@ function renderCode(
         </div>
       )}
       <pre className="overflow-x-auto rounded-md bg-muted p-3">
-        <code className="font-mono text-sm">{codeValue}</code>
+        <code className="whitespace-pre-wrap break-words font-mono text-sm">
+          {codeValue}
+        </code>
       </pre>
     </div>
   );

autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/NewAgentLibraryView/components/selected-views/SelectedRunView/components/RunOutputs.tsx

@@ -3,12 +3,12 @@
 import type {
   OutputMetadata,
   OutputRenderer,
-} from "@/components/contextual/OutputRenderers";
+} from "@/app/(platform)/library/agents/[id]/components/NewAgentLibraryView/components/selected-views/OutputRenderers";
 import {
   globalRegistry,
   OutputActions,
   OutputItem,
-} from "@/components/contextual/OutputRenderers";
+} from "@/app/(platform)/library/agents/[id]/components/NewAgentLibraryView/components/selected-views/OutputRenderers";
 import React, { useMemo } from "react";
 
 type OutputsRecord = Record<string, Array<unknown>>;

autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/NewAgentLibraryView/components/selected-views/SelectedScheduleView/SelectedScheduleView.tsx

@@ -13,7 +13,7 @@ import { LoadingSelectedContent } from "../LoadingSelectedContent";
 import { RunDetailCard } from "../RunDetailCard/RunDetailCard";
 import { RunDetailHeader } from "../RunDetailHeader/RunDetailHeader";
 import { SelectedViewLayout } from "../SelectedViewLayout";
-import { SelectedScheduleActions } from "./components/SelectedScheduleActions";
+import { SelectedScheduleActions } from "./components/SelectedScheduleActions/SelectedScheduleActions";
 import { useSelectedScheduleView } from "./useSelectedScheduleView";
 
 interface Props {