feat(frontend): add JsonTextField component for complex nested form data (#11752)

### Changes 🏗️

- Added a new `JsonTextField` component to handle complex nested JSON
types (objects/arrays inside other objects/arrays)
- Created helper functions for JSON parsing, validation, and formatting
- Implemented `useJsonTextField` hook to manage state and validation
- Enhanced `generateUiSchemaForCustomFields` to detect nested complex
types and render them as JSON text fields
- Updated `TextInputExpanderModal` to support JSON-specific styling
- Added `JSON_TEXT_FIELD_ID` constant to custom registry for field
identification

This change improves the user experience by preventing deeply nested
form UIs. Instead, complex nested structures are presented as editable
JSON text fields with proper validation and formatting.

### Before

![Screenshot 2026-01-12 at
1.07.54 PM.png](https://app.graphite.com/user-attachments/assets/dc2b96cc-562a-4e6b-8278-76de941e3bd9.png)

### After

![Screenshot 2026-01-12 at
12.35.19 PM.png](https://app.graphite.com/user-attachments/assets/ea0028a5-c119-43c3-8100-b103484e0b54.png)

### Checklist 📋

#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
  - [x] Test with simple JSON objects in forms
  - [x] Test with nested arrays and objects
  - [x] Test with anyOf/oneOf schemas containing complex types
  - [x] Test the expander modal with JSON content

<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit

* **New Features**
* New JSON text field with expandable modal editor, inline validation,
and helpful placeholders.
* Complex nested objects/arrays now render as JSON fields to simplify
editing.
* Modal editor uses monospace, smaller text when editing JSON for
improved readability.

* **Chores**
* Added a non-functional runtime debug log (no user-facing behavior
changes).

<sub>✏️ Tip: You can customize this high-level summary in your review
settings.</sub>
<!-- end of auto-generated comment: release notes by coderabbit.ai -->

.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/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/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/smart_decision_maker.py

@@ -391,8 +391,12 @@ class SmartDecisionMakerBlock(Block):
         """
         block = sink_node.block
 
+        # Use custom name from node metadata if set, otherwise fall back to block.name
+        custom_name = sink_node.metadata.get("customized_name")
+        tool_name = custom_name if custom_name else block.name
+
         tool_function: dict[str, Any] = {
-            "name": SmartDecisionMakerBlock.cleanup(block.name),
+            "name": SmartDecisionMakerBlock.cleanup(tool_name),
             "description": block.description,
         }
         sink_block_input_schema = block.input_schema
@@ -489,14 +493,24 @@ class SmartDecisionMakerBlock(Block):
                 f"Sink graph metadata not found: {graph_id} {graph_version}"
             )
 
+        # Use custom name from node metadata if set, otherwise fall back to graph name
+        custom_name = sink_node.metadata.get("customized_name")
+        tool_name = custom_name if custom_name else sink_graph_meta.name
+
         tool_function: dict[str, Any] = {
-            "name": SmartDecisionMakerBlock.cleanup(sink_graph_meta.name),
+            "name": SmartDecisionMakerBlock.cleanup(tool_name),
             "description": sink_graph_meta.description,
         }
 
         properties = {}
+        field_mapping = {}
 
         for link in links:
+            field_name = link.sink_name
+
+            clean_field_name = SmartDecisionMakerBlock.cleanup(field_name)
+            field_mapping[clean_field_name] = field_name
+
             sink_block_input_schema = sink_node.input_default["input_schema"]
             sink_block_properties = sink_block_input_schema.get("properties", {}).get(
                 link.sink_name, {}
@@ -506,7 +520,7 @@ class SmartDecisionMakerBlock(Block):
                 if "description" in sink_block_properties
                 else f"The {link.sink_name} of the tool"
             )
-            properties[link.sink_name] = {
+            properties[clean_field_name] = {
                 "type": "string",
                 "description": description,
                 "default": json.dumps(sink_block_properties.get("default", None)),
@@ -519,7 +533,7 @@ class SmartDecisionMakerBlock(Block):
             "strict": True,
         }
 
-        # Store node info for later use in output processing
+        tool_function["_field_mapping"] = field_mapping
         tool_function["_sink_node_id"] = sink_node.id
 
         return {"type": "function", "function": tool_function}
@@ -975,10 +989,28 @@ 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 []
@@ -1129,8 +1161,9 @@ class SmartDecisionMakerBlock(Block):
                 original_field_name = field_mapping.get(clean_arg_name, clean_arg_name)
                 arg_value = tool_args.get(clean_arg_name)
 
-                sanitized_arg_name = self.cleanup(original_field_name)
-                emit_key = f"tools_^_{sink_node_id}_~_{sanitized_arg_name}"
+                # Use original_field_name directly (not sanitized) to match link sink_name
+                # The field_mapping already translates from LLM's cleaned names to original names
+                emit_key = f"tools_^_{sink_node_id}_~_{original_field_name}"
 
                 logger.debug(
                     "[SmartDecisionMakerBlock|geid:%s|neid:%s] emit %s",

autogpt_platform/backend/backend/blocks/test/test_smart_decision_maker.py

@@ -1057,3 +1057,153 @@ async def test_smart_decision_maker_traditional_mode_default():
         )  # Should yield individual tool parameters
         assert "tools_^_test-sink-node-id_~_max_keyword_difficulty" in outputs
         assert "conversations" in outputs
+
+
+@pytest.mark.asyncio
+async def test_smart_decision_maker_uses_customized_name_for_blocks():
+    """Test that SmartDecisionMakerBlock uses customized_name from node metadata for tool names."""
+    from unittest.mock import MagicMock
+
+    from backend.blocks.basic import StoreValueBlock
+    from backend.blocks.smart_decision_maker import SmartDecisionMakerBlock
+    from backend.data.graph import Link, Node
+
+    # Create a mock node with customized_name in metadata
+    mock_node = MagicMock(spec=Node)
+    mock_node.id = "test-node-id"
+    mock_node.block_id = StoreValueBlock().id
+    mock_node.metadata = {"customized_name": "My Custom Tool Name"}
+    mock_node.block = StoreValueBlock()
+
+    # Create a mock link
+    mock_link = MagicMock(spec=Link)
+    mock_link.sink_name = "input"
+
+    # Call the function directly
+    result = await SmartDecisionMakerBlock._create_block_function_signature(
+        mock_node, [mock_link]
+    )
+
+    # Verify the tool name uses the customized name (cleaned up)
+    assert result["type"] == "function"
+    assert result["function"]["name"] == "my_custom_tool_name"  # Cleaned version
+    assert result["function"]["_sink_node_id"] == "test-node-id"
+
+
+@pytest.mark.asyncio
+async def test_smart_decision_maker_falls_back_to_block_name():
+    """Test that SmartDecisionMakerBlock falls back to block.name when no customized_name."""
+    from unittest.mock import MagicMock
+
+    from backend.blocks.basic import StoreValueBlock
+    from backend.blocks.smart_decision_maker import SmartDecisionMakerBlock
+    from backend.data.graph import Link, Node
+
+    # Create a mock node without customized_name
+    mock_node = MagicMock(spec=Node)
+    mock_node.id = "test-node-id"
+    mock_node.block_id = StoreValueBlock().id
+    mock_node.metadata = {}  # No customized_name
+    mock_node.block = StoreValueBlock()
+
+    # Create a mock link
+    mock_link = MagicMock(spec=Link)
+    mock_link.sink_name = "input"
+
+    # Call the function directly
+    result = await SmartDecisionMakerBlock._create_block_function_signature(
+        mock_node, [mock_link]
+    )
+
+    # Verify the tool name uses the block's default name
+    assert result["type"] == "function"
+    assert result["function"]["name"] == "storevalueblock"  # Default block name cleaned
+    assert result["function"]["_sink_node_id"] == "test-node-id"
+
+
+@pytest.mark.asyncio
+async def test_smart_decision_maker_uses_customized_name_for_agents():
+    """Test that SmartDecisionMakerBlock uses customized_name from metadata for agent nodes."""
+    from unittest.mock import AsyncMock, MagicMock, patch
+
+    from backend.blocks.smart_decision_maker import SmartDecisionMakerBlock
+    from backend.data.graph import Link, Node
+
+    # Create a mock node with customized_name in metadata
+    mock_node = MagicMock(spec=Node)
+    mock_node.id = "test-agent-node-id"
+    mock_node.metadata = {"customized_name": "My Custom Agent"}
+    mock_node.input_default = {
+        "graph_id": "test-graph-id",
+        "graph_version": 1,
+        "input_schema": {"properties": {"test_input": {"description": "Test input"}}},
+    }
+
+    # Create a mock link
+    mock_link = MagicMock(spec=Link)
+    mock_link.sink_name = "test_input"
+
+    # Mock the database client
+    mock_graph_meta = MagicMock()
+    mock_graph_meta.name = "Original Agent Name"
+    mock_graph_meta.description = "Agent description"
+
+    mock_db_client = AsyncMock()
+    mock_db_client.get_graph_metadata.return_value = mock_graph_meta
+
+    with patch(
+        "backend.blocks.smart_decision_maker.get_database_manager_async_client",
+        return_value=mock_db_client,
+    ):
+        result = await SmartDecisionMakerBlock._create_agent_function_signature(
+            mock_node, [mock_link]
+        )
+
+    # Verify the tool name uses the customized name (cleaned up)
+    assert result["type"] == "function"
+    assert result["function"]["name"] == "my_custom_agent"  # Cleaned version
+    assert result["function"]["_sink_node_id"] == "test-agent-node-id"
+
+
+@pytest.mark.asyncio
+async def test_smart_decision_maker_agent_falls_back_to_graph_name():
+    """Test that agent node falls back to graph name when no customized_name."""
+    from unittest.mock import AsyncMock, MagicMock, patch
+
+    from backend.blocks.smart_decision_maker import SmartDecisionMakerBlock
+    from backend.data.graph import Link, Node
+
+    # Create a mock node without customized_name
+    mock_node = MagicMock(spec=Node)
+    mock_node.id = "test-agent-node-id"
+    mock_node.metadata = {}  # No customized_name
+    mock_node.input_default = {
+        "graph_id": "test-graph-id",
+        "graph_version": 1,
+        "input_schema": {"properties": {"test_input": {"description": "Test input"}}},
+    }
+
+    # Create a mock link
+    mock_link = MagicMock(spec=Link)
+    mock_link.sink_name = "test_input"
+
+    # Mock the database client
+    mock_graph_meta = MagicMock()
+    mock_graph_meta.name = "Original Agent Name"
+    mock_graph_meta.description = "Agent description"
+
+    mock_db_client = AsyncMock()
+    mock_db_client.get_graph_metadata.return_value = mock_graph_meta
+
+    with patch(
+        "backend.blocks.smart_decision_maker.get_database_manager_async_client",
+        return_value=mock_db_client,
+    ):
+        result = await SmartDecisionMakerBlock._create_agent_function_signature(
+            mock_node, [mock_link]
+        )
+
+    # Verify the tool name uses the graph's default name
+    assert result["type"] == "function"
+    assert result["function"]["name"] == "original_agent_name"  # Graph name cleaned
+    assert result["function"]["_sink_node_id"] == "test-agent-node-id"

autogpt_platform/backend/backend/blocks/test/test_smart_decision_maker_dict.py

@@ -15,6 +15,7 @@ async def test_smart_decision_maker_handles_dynamic_dict_fields():
     mock_node.block = CreateDictionaryBlock()
     mock_node.block_id = CreateDictionaryBlock().id
     mock_node.input_default = {}
+    mock_node.metadata = {}
 
     # Create mock links with dynamic dictionary fields
     mock_links = [
@@ -77,6 +78,7 @@ async def test_smart_decision_maker_handles_dynamic_list_fields():
     mock_node.block = AddToListBlock()
     mock_node.block_id = AddToListBlock().id
     mock_node.input_default = {}
+    mock_node.metadata = {}
 
     # Create mock links with dynamic list fields
     mock_links = [

autogpt_platform/backend/backend/blocks/test/test_smart_decision_maker_dynamic_fields.py

@@ -44,6 +44,7 @@ async def test_create_block_function_signature_with_dict_fields():
     mock_node.block = CreateDictionaryBlock()
     mock_node.block_id = CreateDictionaryBlock().id
     mock_node.input_default = {}
+    mock_node.metadata = {}
 
     # Create mock links with dynamic dictionary fields (source sanitized, sink original)
     mock_links = [
@@ -106,6 +107,7 @@ async def test_create_block_function_signature_with_list_fields():
     mock_node.block = AddToListBlock()
     mock_node.block_id = AddToListBlock().id
     mock_node.input_default = {}
+    mock_node.metadata = {}
 
     # Create mock links with dynamic list fields
     mock_links = [
@@ -159,6 +161,7 @@ async def test_create_block_function_signature_with_object_fields():
     mock_node.block = MatchTextPatternBlock()
     mock_node.block_id = MatchTextPatternBlock().id
     mock_node.input_default = {}
+    mock_node.metadata = {}
 
     # Create mock links with dynamic object fields
     mock_links = [
@@ -208,11 +211,13 @@ async def test_create_tool_node_signatures():
         mock_dict_node.block = CreateDictionaryBlock()
         mock_dict_node.block_id = CreateDictionaryBlock().id
         mock_dict_node.input_default = {}
+        mock_dict_node.metadata = {}
 
         mock_list_node = Mock()
         mock_list_node.block = AddToListBlock()
         mock_list_node.block_id = AddToListBlock().id
         mock_list_node.input_default = {}
+        mock_list_node.metadata = {}
 
         # Mock links with dynamic fields
         dict_link1 = Mock(
@@ -423,6 +428,7 @@ async def test_mixed_regular_and_dynamic_fields():
     mock_node.block.name = "TestBlock"
     mock_node.block.description = "A test block"
     mock_node.block.input_schema = Mock()
+    mock_node.metadata = {}
 
     # Mock the get_field_schema to return a proper schema for regular fields
     def get_field_schema(field_name):

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/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

@@ -46,14 +46,15 @@
     "@radix-ui/react-scroll-area": "1.2.10",
     "@radix-ui/react-select": "2.2.6",
     "@radix-ui/react-separator": "1.1.7",
+    "@radix-ui/react-slider": "1.3.6",
     "@radix-ui/react-slot": "1.2.3",
     "@radix-ui/react-switch": "1.2.6",
     "@radix-ui/react-tabs": "1.1.13",
     "@radix-ui/react-toast": "1.2.15",
     "@radix-ui/react-tooltip": "1.2.8",
-    "@rjsf/core": "5.24.13",
-    "@rjsf/utils": "5.24.13",
-    "@rjsf/validator-ajv8": "5.24.13",
+    "@rjsf/core": "6.1.2",
+    "@rjsf/utils": "6.1.2",
+    "@rjsf/validator-ajv8": "6.1.2",
     "@sentry/nextjs": "10.27.0",
     "@supabase/ssr": "0.7.0",
     "@supabase/supabase-js": "2.78.0",
@@ -91,7 +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/(platform)/auth/integrations/oauth_callback/route.ts

@@ -1,4 +1,4 @@
-import { OAuthPopupResultMessage } from "@/components/renderers/input-renderer/fields/CredentialField/models/OAuthCredentialModal/useOAuthCredentialModal";
+import { OAuthPopupResultMessage } from "./types";
 import { NextResponse } from "next/server";
 
 // This route is intended to be used as the callback for integration OAuth flows,

autogpt_platform/frontend/src/app/(platform)/auth/integrations/oauth_callback/types.ts

@@ -0,0 +1,11 @@
+export type OAuthPopupResultMessage = { message_type: "oauth_popup_result" } & (
+  | {
+      success: true;
+      code: string;
+      state: string;
+    }
+  | {
+      success: false;
+      message: string;
+    }
+);

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

@@ -5,7 +5,7 @@ import { useGraphStore } from "@/app/(platform)/build/stores/graphStore";
 import { Button } from "@/components/atoms/Button/Button";
 import { ClockIcon, PlayIcon } from "@phosphor-icons/react";
 import { Text } from "@/components/atoms/Text/Text";
-import { FormRenderer } from "@/components/renderers/input-renderer/FormRenderer";
+import { FormRenderer } from "@/components/renderers/InputRenderer/FormRenderer";
 import { useRunInputDialog } from "./useRunInputDialog";
 import { CronSchedulerDialog } from "../CronSchedulerDialog/CronSchedulerDialog";
 
@@ -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

@@ -8,7 +8,7 @@ import {
 import { parseAsInteger, parseAsString, useQueryStates } from "nuqs";
 import { useMemo, useState } from "react";
 import { uiSchema } from "../../../FlowEditor/nodes/uiSchema";
-import { isCredentialFieldSchema } from "@/components/renderers/input-renderer/fields/CredentialField/helpers";
+import { isCredentialFieldSchema } from "@/components/renderers/InputRenderer/custom/CredentialField/helpers";
 
 export const useRunInputDialog = ({
   setIsOpen,
@@ -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/DraftRecoveryDialog/DraftRecoveryPopup.tsx

@@ -12,16 +12,59 @@ import {
 import { useDraftRecoveryPopup } from "./useDraftRecoveryPopup";
 import { Text } from "@/components/atoms/Text/Text";
 import { AnimatePresence, motion } from "framer-motion";
+import { DraftDiff } from "@/lib/dexie/draft-utils";
 
 interface DraftRecoveryPopupProps {
   isInitialLoadComplete: boolean;
 }
 
+function formatDiffSummary(diff: DraftDiff | null): string {
+  if (!diff) return "";
+
+  const parts: string[] = [];
+
+  // Node changes
+  const nodeChanges: string[] = [];
+  if (diff.nodes.added > 0) nodeChanges.push(`+${diff.nodes.added}`);
+  if (diff.nodes.removed > 0) nodeChanges.push(`-${diff.nodes.removed}`);
+  if (diff.nodes.modified > 0) nodeChanges.push(`~${diff.nodes.modified}`);
+
+  if (nodeChanges.length > 0) {
+    parts.push(
+      `${nodeChanges.join("/")} block${diff.nodes.added + diff.nodes.removed + diff.nodes.modified !== 1 ? "s" : ""}`,
+    );
+  }
+
+  // Edge changes
+  const edgeChanges: string[] = [];
+  if (diff.edges.added > 0) edgeChanges.push(`+${diff.edges.added}`);
+  if (diff.edges.removed > 0) edgeChanges.push(`-${diff.edges.removed}`);
+  if (diff.edges.modified > 0) edgeChanges.push(`~${diff.edges.modified}`);
+
+  if (edgeChanges.length > 0) {
+    parts.push(
+      `${edgeChanges.join("/")} connection${diff.edges.added + diff.edges.removed + diff.edges.modified !== 1 ? "s" : ""}`,
+    );
+  }
+
+  return parts.join(", ");
+}
+
 export function DraftRecoveryPopup({
   isInitialLoadComplete,
 }: DraftRecoveryPopupProps) {
-  const { isOpen, popupRef, nodeCount, edgeCount, savedAt, onLoad, onDiscard } =
-    useDraftRecoveryPopup(isInitialLoadComplete);
+  const {
+    isOpen,
+    popupRef,
+    nodeCount,
+    edgeCount,
+    diff,
+    savedAt,
+    onLoad,
+    onDiscard,
+  } = useDraftRecoveryPopup(isInitialLoadComplete);
+
+  const diffSummary = formatDiffSummary(diff);
 
   return (
     <AnimatePresence>
@@ -72,10 +115,9 @@ export function DraftRecoveryPopup({
                 variant="small"
                 className="text-amber-700 dark:text-amber-400"
               >
-                {nodeCount} block{nodeCount !== 1 ? "s" : ""}, {edgeCount}{" "}
-                connection
-                {edgeCount !== 1 ? "s" : ""} •{" "}
-                {formatTimeAgo(new Date(savedAt).toISOString())}
+                {diffSummary ||
+                  `${nodeCount} block${nodeCount !== 1 ? "s" : ""}, ${edgeCount} connection${edgeCount !== 1 ? "s" : ""}`}{" "}
+                • {formatTimeAgo(new Date(savedAt).toISOString())}
               </Text>
             </div>
 

autogpt_platform/frontend/src/app/(platform)/build/components/DraftRecoveryDialog/useDraftRecoveryPopup.tsx

@@ -9,6 +9,7 @@ export const useDraftRecoveryPopup = (isInitialLoadComplete: boolean) => {
     savedAt,
     nodeCount,
     edgeCount,
+    diff,
     loadDraft: onLoad,
     discardDraft: onDiscard,
   } = useDraftManager(isInitialLoadComplete);
@@ -54,6 +55,7 @@ export const useDraftRecoveryPopup = (isInitialLoadComplete: boolean) => {
     isOpen,
     nodeCount,
     edgeCount,
+    diff,
     savedAt,
     onLoad,
     onDiscard,

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/Flow/helpers/resolve-collision.ts

@@ -48,8 +48,6 @@ export const resolveCollisions: CollisionAlgorithm = (
     const width = (node.width ?? node.measured?.width ?? 0) + margin * 2;
     const height = (node.height ?? node.measured?.height ?? 0) + margin * 2;
 
-    console.log("width", width);
-    console.log("height", height);
     const x = node.position.x - margin;
     const y = node.position.y - margin;
 

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

@@ -7,7 +7,12 @@ import {
   DraftData,
 } from "@/services/builder-draft/draft-service";
 import { BuilderDraft } from "@/lib/dexie/db";
-import { cleanNodes, cleanEdges } from "@/lib/dexie/draft-utils";
+import {
+  cleanNodes,
+  cleanEdges,
+  calculateDraftDiff,
+  DraftDiff,
+} from "@/lib/dexie/draft-utils";
 import { useNodeStore } from "../../../stores/nodeStore";
 import { useEdgeStore } from "../../../stores/edgeStore";
 import { useGraphStore } from "../../../stores/graphStore";
@@ -19,6 +24,7 @@ const AUTO_SAVE_INTERVAL_MS = 15000; // 15 seconds
 interface DraftRecoveryState {
   isOpen: boolean;
   draft: BuilderDraft | null;
+  diff: DraftDiff | null;
 }
 
 /**
@@ -31,6 +37,7 @@ export function useDraftManager(isInitialLoadComplete: boolean) {
   const [state, setState] = useState<DraftRecoveryState>({
     isOpen: false,
     draft: null,
+    diff: null,
   });
 
   const [{ flowID, flowVersion }] = useQueryStates({
@@ -207,9 +214,16 @@ export function useDraftManager(isInitialLoadComplete: boolean) {
       );
 
       if (isDifferent && (draft.nodes.length > 0 || draft.edges.length > 0)) {
+        const diff = calculateDraftDiff(
+          draft.nodes,
+          draft.edges,
+          currentNodes,
+          currentEdges,
+        );
         setState({
           isOpen: true,
           draft,
+          diff,
         });
       } else {
         await draftService.deleteDraft(effectiveFlowId);
@@ -231,6 +245,7 @@ export function useDraftManager(isInitialLoadComplete: boolean) {
     setState({
       isOpen: false,
       draft: null,
+      diff: null,
     });
   }, [flowID]);
 
@@ -242,8 +257,10 @@ export function useDraftManager(isInitialLoadComplete: boolean) {
     try {
       useNodeStore.getState().setNodes(draft.nodes);
       useEdgeStore.getState().setEdges(draft.edges);
+      draft.nodes.forEach((node) => {
+        useNodeStore.getState().syncHardcodedValuesWithHandleIds(node.id);
+      });
 
-      // Restore nodeCounter to prevent ID conflicts when adding new nodes
       if (draft.nodeCounter !== undefined) {
         useNodeStore.setState({ nodeCounter: draft.nodeCounter });
       }
@@ -267,6 +284,7 @@ export function useDraftManager(isInitialLoadComplete: boolean) {
       setState({
         isOpen: false,
         draft: null,
+        diff: null,
       });
     } catch (error) {
       console.error("[DraftRecovery] Failed to load draft:", error);
@@ -275,7 +293,7 @@ export function useDraftManager(isInitialLoadComplete: boolean) {
 
   const discardDraft = useCallback(async () => {
     if (!state.draft) {
-      setState({ isOpen: false, draft: null });
+      setState({ isOpen: false, draft: null, diff: null });
       return;
     }
 
@@ -285,7 +303,7 @@ export function useDraftManager(isInitialLoadComplete: boolean) {
       console.error("[DraftRecovery] Failed to discard draft:", error);
     }
 
-    setState({ isOpen: false, draft: null });
+    setState({ isOpen: false, draft: null, diff: null });
   }, [state.draft]);
 
   return {
@@ -294,6 +312,7 @@ export function useDraftManager(isInitialLoadComplete: boolean) {
     savedAt: state.draft?.savedAt ?? 0,
     nodeCount: state.draft?.nodes.length ?? 0,
     edgeCount: state.draft?.edges.length ?? 0,
+    diff: state.diff,
     loadDraft,
     discardDraft,
   };

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

@@ -121,6 +121,14 @@ export const useFlow = () => {
     if (customNodes.length > 0) {
       useNodeStore.getState().setNodes([]);
       addNodes(customNodes);
+
+      // Sync hardcoded values with handle IDs.
+      // If a key–value field has a key without a value, the backend omits it from hardcoded values.
+      // But if a handleId exists for that key, it causes inconsistency.
+      // This ensures hardcoded values stay in sync with handle IDs.
+      customNodes.forEach((node) => {
+        useNodeStore.getState().syncHardcodedValuesWithHandleIds(node.id);
+      });
     }
   }, [customNodes, addNodes]);
 

autogpt_platform/frontend/src/app/(platform)/build/components/FlowEditor/edges/useCustomEdge.ts

@@ -1,12 +1,17 @@
-import { Connection as RFConnection, EdgeChange } from "@xyflow/react";
+import {
+  Connection as RFConnection,
+  EdgeChange,
+  applyEdgeChanges,
+} from "@xyflow/react";
 import { useEdgeStore } from "@/app/(platform)/build/stores/edgeStore";
 import { useCallback } from "react";
 import { useNodeStore } from "../../../stores/nodeStore";
+import { CustomEdge } from "./CustomEdge";
 
 export const useCustomEdge = () => {
   const edges = useEdgeStore((s) => s.edges);
   const addEdge = useEdgeStore((s) => s.addEdge);
-  const removeEdge = useEdgeStore((s) => s.removeEdge);
+  const setEdges = useEdgeStore((s) => s.setEdges);
 
   const onConnect = useCallback(
     (conn: RFConnection) => {
@@ -45,14 +50,10 @@ export const useCustomEdge = () => {
   );
 
   const onEdgesChange = useCallback(
-    (changes: EdgeChange[]) => {
-      changes.forEach((change) => {
-        if (change.type === "remove") {
-          removeEdge(change.id);
-        }
-      });
+    (changes: EdgeChange<CustomEdge>[]) => {
+      setEdges(applyEdgeChanges(changes, edges));
     },
-    [removeEdge],
+    [edges, setEdges],
   );
 
   return { edges, onConnect, onEdgesChange };

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

@@ -1,26 +1,32 @@
 import { CircleIcon } from "@phosphor-icons/react";
 import { Handle, Position } from "@xyflow/react";
+import { useEdgeStore } from "../../../stores/edgeStore";
+import { cleanUpHandleId } from "@/components/renderers/InputRenderer/helpers";
+import { cn } from "@/lib/utils";
 
-const NodeHandle = ({
+const InputNodeHandle = ({
   handleId,
-  isConnected,
-  side,
+  nodeId,
 }: {
   handleId: string;
-  isConnected: boolean;
-  side: "left" | "right";
+  nodeId: string;
 }) => {
+  const cleanedHandleId = cleanUpHandleId(handleId);
+  const isInputConnected = useEdgeStore((state) =>
+    state.isInputConnected(nodeId ?? "", cleanedHandleId),
+  );
+
   return (
     <Handle
-      type={side === "left" ? "target" : "source"}
-      position={side === "left" ? Position.Left : Position.Right}
-      id={handleId}
-      className={side === "left" ? "-ml-4 mr-2" : "-mr-2 ml-2"}
+      type={"target"}
+      position={Position.Left}
+      id={cleanedHandleId}
+      className={"-ml-6 mr-2"}
     >
       <div className="pointer-events-none">
         <CircleIcon
           size={16}
-          weight={isConnected ? "fill" : "duotone"}
+          weight={isInputConnected ? "fill" : "duotone"}
           className={"text-gray-400 opacity-100"}
         />
       </div>
@@ -28,4 +34,35 @@ const NodeHandle = ({
   );
 };
 
-export default NodeHandle;
+const OutputNodeHandle = ({
+  field_name,
+  nodeId,
+  hexColor,
+}: {
+  field_name: string;
+  nodeId: string;
+  hexColor: string;
+}) => {
+  const isOutputConnected = useEdgeStore((state) =>
+    state.isOutputConnected(nodeId, field_name),
+  );
+  return (
+    <Handle
+      type={"source"}
+      position={Position.Right}
+      id={field_name}
+      className={"-mr-2 ml-2"}
+    >
+      <div className="pointer-events-none">
+        <CircleIcon
+          size={16}
+          weight={"duotone"}
+          color={isOutputConnected ? hexColor : "gray"}
+          className={cn("text-gray-400 opacity-100")}
+        />
+      </div>
+    </Handle>
+  );
+};
+
+export { InputNodeHandle, OutputNodeHandle };

autogpt_platform/frontend/src/app/(platform)/build/components/FlowEditor/handlers/helpers.ts

@@ -1,31 +1,4 @@
-/**
- * Handle ID Types for different input structures
- *
- * Examples:
- * SIMPLE: "message"
- * NESTED: "config.api_key"
- * ARRAY: "items_$_0", "items_$_1"
- * KEY_VALUE: "headers_#_Authorization", "params_#_limit"
- *
- * Note: All handle IDs are sanitized to remove spaces and special characters.
- * Spaces become underscores, and special characters are removed.
- * Example: "user name" becomes "user_name", "email@domain.com" becomes "emaildomaincom"
- */
-export enum HandleIdType {
-  SIMPLE = "SIMPLE",
-  NESTED = "NESTED",
-  ARRAY = "ARRAY",
-  KEY_VALUE = "KEY_VALUE",
-}
-
-const fromRjsfId = (id: string): string => {
-  if (!id) return "";
-  const parts = id.split("_");
-  const filtered = parts.filter(
-    (p) => p !== "root" && p !== "properties" && p.length > 0,
-  );
-  return filtered.join("_") || "";
-};
+// Here we are handling single level of nesting, if need more in future then i will update it
 
 const sanitizeForHandleId = (str: string): string => {
   if (!str) return "";
@@ -38,51 +11,53 @@ const sanitizeForHandleId = (str: string): string => {
     .replace(/^_|_$/g, ""); // Remove leading/trailing underscores
 };
 
-export const generateHandleId = (
+const cleanTitleId = (id: string): string => {
+  if (!id) return "";
+
+  if (id.endsWith("_title")) {
+    id = id.slice(0, -6);
+  }
+  const parts = id.split("_");
+  const filtered = parts.filter(
+    (p) => p !== "root" && p !== "properties" && p.length > 0,
+  );
+  const filtered_id = filtered.join("_") || "";
+  return filtered_id;
+};
+
+export const generateHandleIdFromTitleId = (
   fieldKey: string,
-  nestedValues: string[] = [],
-  type: HandleIdType = HandleIdType.SIMPLE,
+  {
+    isObjectProperty,
+    isAdditionalProperty,
+    isArrayItem,
+  }: {
+    isArrayItem?: boolean;
+    isObjectProperty?: boolean;
+    isAdditionalProperty?: boolean;
+  } = {
+    isArrayItem: false,
+    isObjectProperty: false,
+    isAdditionalProperty: false,
+  },
 ): string => {
   if (!fieldKey) return "";
 
-  fieldKey = fromRjsfId(fieldKey);
-  fieldKey = sanitizeForHandleId(fieldKey);
+  const filteredKey = cleanTitleId(fieldKey);
+  if (isAdditionalProperty || isArrayItem) {
+    return filteredKey;
+  }
+  const cleanedKey = sanitizeForHandleId(filteredKey);
 
-  if (type === HandleIdType.SIMPLE || nestedValues.length === 0) {
-    return fieldKey;
+  if (isObjectProperty) {
+    // "config_api_key" -> "config.api_key"
+    const parts = cleanedKey.split("_");
+    if (parts.length >= 2) {
+      const baseName = parts[0];
+      const propertyName = parts.slice(1).join("_");
+      return `${baseName}.${propertyName}`;
+    }
   }
 
-  const sanitizedNestedValues = nestedValues.map((value) =>
-    sanitizeForHandleId(value),
-  );
-
-  switch (type) {
-    case HandleIdType.NESTED:
-      return [fieldKey, ...sanitizedNestedValues].join(".");
-
-    case HandleIdType.ARRAY:
-      return [fieldKey, ...sanitizedNestedValues].join("_$_");
-
-    case HandleIdType.KEY_VALUE:
-      return [fieldKey, ...sanitizedNestedValues].join("_#_");
-
-    default:
-      return fieldKey;
-  }
-};
-
-export const parseKeyValueHandleId = (
-  handleId: string,
-  type: HandleIdType,
-): string => {
-  if (type === HandleIdType.KEY_VALUE) {
-    return handleId.split("_#_")[1];
-  } else if (type === HandleIdType.ARRAY) {
-    return handleId.split("_$_")[1];
-  } else if (type === HandleIdType.NESTED) {
-    return handleId.split(".")[1];
-  } else if (type === HandleIdType.SIMPLE) {
-    return handleId.split("_")[1];
-  }
-  return "";
+  return cleanedKey;
 };

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/input-renderer/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} />
@@ -99,7 +100,7 @@ export const CustomNode: React.FC<NodeProps<CustomNode>> = React.memo(
             nodeId={nodeId}
             uiType={data.uiType}
             className={cn(
-              "bg-white pr-6",
+              "bg-white px-4",
               isWebhook && "pointer-events-none opacity-50",
             )}
             showHandles={showHandles}
@@ -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/NodeAdvancedToggle.tsx

@@ -8,7 +8,7 @@ export const NodeAdvancedToggle = ({ nodeId }: { nodeId: string }) => {
   );
   const setShowAdvanced = useNodeStore((state) => state.setShowAdvanced);
   return (
-    <div className="flex items-center justify-between gap-2 rounded-b-xlarge border-t border-slate-200/50 bg-white px-5 py-3.5">
+    <div className="flex items-center justify-between gap-2 rounded-b-xlarge border-t border-zinc-200 bg-white px-5 py-3.5">
       <Text variant="body" className="font-medium text-slate-700">
         Advanced
       </Text>

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

@@ -22,7 +22,7 @@ export const NodeContainer = ({
   return (
     <div
       className={cn(
-        "z-12 max-w-[370px] rounded-xlarge ring-1 ring-slate-200/60",
+        "z-12 w-[350px] rounded-xlarge ring-1 ring-slate-200/60",
         selected && "shadow-lg ring-2 ring-slate-200",
         status && nodeStyleBasedOnStatus[status],
         hasErrors ? nodeStyleBasedOnStatus[AgentExecutionStatus.FAILED] : "",

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

@@ -1,29 +1,30 @@
-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);
-  const [editedTitle, setEditedTitle] = useState(title);
+  const [editedTitle, setEditedTitle] = useState(
+    beautifyString(title).replace("Block", "").trim(),
+  );
 
   const handleTitleEdit = () => {
     updateNodeData(nodeId, {
@@ -41,7 +42,7 @@ export const NodeHeader = ({
   };
 
   return (
-    <div className="flex h-auto flex-col gap-1 rounded-xlarge border-b border-slate-200/50 bg-gradient-to-r from-slate-50/80 to-white/90 px-4 py-4 pt-3">
+    <div className="flex h-auto flex-col gap-1 rounded-xlarge border-b border-zinc-200 bg-gradient-to-r from-slate-50/80 to-white/90 px-4 py-4 pt-3">
       {/* Title row with context menu */}
       <div className="flex items-start justify-between gap-2">
         <div className="flex min-w-0 flex-1 items-center gap-2">
@@ -67,13 +68,16 @@ export const NodeHeader = ({
                 <Tooltip>
                   <TooltipTrigger asChild>
                     <div>
-                      <Text variant="large-semibold" className="line-clamp-1">
-                        {beautifyString(title)}
+                      <Text
+                        variant="large-semibold"
+                        className="line-clamp-1 hover:cursor-text"
+                      >
+                        {beautifyString(title).replace("Block", "").trim()}
                       </Text>
                     </div>
                   </TooltipTrigger>
                   <TooltipContent>
-                    <p>{beautifyString(title)}</p>
+                    <p>{beautifyString(title).replace("Block", "").trim()}</p>
                   </TooltipContent>
                 </Tooltip>
               </TooltipProvider>

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

@@ -23,7 +23,7 @@ export const NodeDataRenderer = ({ nodeId }: { nodeId: string }) => {
   }
 
   return (
-    <div className="flex flex-col gap-3 rounded-b-xl border-t border-slate-200/50 px-4 py-4">
+    <div className="flex flex-col gap-3 rounded-b-xl border-t border-zinc-200 px-4 py-4">
       <div className="flex items-center justify-between">
         <Text variant="body-medium" className="!font-semibold text-slate-700">
           Node Output

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

@@ -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/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/StickyNoteBlock.tsx

@@ -1,6 +1,6 @@
 import { useMemo } from "react";
 import { FormCreator } from "../../FormCreator";
-import { preprocessInputSchema } from "@/components/renderers/input-renderer/utils/input-schema-pre-processor";
+import { preprocessInputSchema } from "@/components/renderers/InputRenderer/utils/input-schema-pre-processor";
 import { CustomNodeData } from "../CustomNode";
 import { Text } from "@/components/atoms/Text/Text";
 import { cn } from "@/lib/utils";

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

@@ -3,7 +3,7 @@ import React from "react";
 import { uiSchema } from "./uiSchema";
 import { useNodeStore } from "../../../stores/nodeStore";
 import { BlockUIType } from "../../types";
-import { FormRenderer } from "@/components/renderers/input-renderer/FormRenderer";
+import { FormRenderer } from "@/components/renderers/InputRenderer/FormRenderer";
 
 export const FormCreator = React.memo(
   ({

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

@@ -4,7 +4,7 @@ import { CaretDownIcon, InfoIcon } from "@phosphor-icons/react";
 import { RJSFSchema } from "@rjsf/utils";
 import { useState } from "react";
 
-import NodeHandle from "../handlers/NodeHandle";
+import { OutputNodeHandle } from "../handlers/NodeHandle";
 import {
   Tooltip,
   TooltipContent,
@@ -13,7 +13,6 @@ import {
 } from "@/components/atoms/Tooltip/BaseTooltip";
 import { useEdgeStore } from "@/app/(platform)/build/stores/edgeStore";
 import { getTypeDisplayInfo } from "./helpers";
-import { generateHandleId } from "../handlers/helpers";
 import { BlockUIType } from "../../types";
 
 export const OutputHandler = ({
@@ -29,8 +28,73 @@ export const OutputHandler = ({
   const properties = outputSchema?.properties || {};
   const [isOutputVisible, setIsOutputVisible] = useState(true);
 
+  const showHandles = uiType !== BlockUIType.OUTPUT;
+
+  const renderOutputHandles = (
+    schema: RJSFSchema,
+    keyPrefix: string = "",
+    titlePrefix: string = "",
+  ): React.ReactNode[] => {
+    return Object.entries(schema).map(
+      ([key, fieldSchema]: [string, RJSFSchema]) => {
+        const fullKey = keyPrefix ? `${keyPrefix}_#_${key}` : key;
+        const fieldTitle = titlePrefix + (fieldSchema?.title || key);
+
+        const isConnected = isOutputConnected(nodeId, fullKey);
+        const shouldShow = isConnected || isOutputVisible;
+        const { displayType, colorClass, hexColor } =
+          getTypeDisplayInfo(fieldSchema);
+
+        return shouldShow ? (
+          <div key={fullKey} className="flex flex-col items-end gap-2">
+            <div className="relative flex items-center gap-2">
+              {fieldSchema?.description && (
+                <TooltipProvider>
+                  <Tooltip>
+                    <TooltipTrigger asChild>
+                      <span
+                        style={{ marginLeft: 6, cursor: "pointer" }}
+                        aria-label="info"
+                        tabIndex={0}
+                      >
+                        <InfoIcon />
+                      </span>
+                    </TooltipTrigger>
+                    <TooltipContent>{fieldSchema?.description}</TooltipContent>
+                  </Tooltip>
+                </TooltipProvider>
+              )}
+              <Text variant="body" className="text-slate-700">
+                {fieldTitle}
+              </Text>
+              <Text variant="small" as="span" className={colorClass}>
+                ({displayType})
+              </Text>
+
+              {showHandles && (
+                <OutputNodeHandle
+                  field_name={fullKey}
+                  nodeId={nodeId}
+                  hexColor={hexColor}
+                />
+              )}
+            </div>
+
+            {/* Recursively render nested properties */}
+            {fieldSchema?.properties &&
+              renderOutputHandles(
+                fieldSchema.properties,
+                fullKey,
+                `${fieldTitle}.`,
+              )}
+          </div>
+        ) : null;
+      },
+    );
+  };
+
   return (
-    <div className="flex flex-col items-end justify-between gap-2 rounded-b-xlarge border-t border-slate-200/50 bg-white py-3.5">
+    <div className="flex flex-col items-end justify-between gap-2 rounded-b-xlarge border-t border-zinc-200 bg-white py-3.5">
       <Button
         variant="ghost"
         className="mr-4 h-fit min-w-0 p-0 hover:border-transparent hover:bg-transparent"
@@ -49,50 +113,9 @@ export const OutputHandler = ({
         </Text>
       </Button>
 
-      {
-        <div className="flex flex-col items-end gap-2">
-          {Object.entries(properties).map(([key, property]: [string, any]) => {
-            const isConnected = isOutputConnected(nodeId, key);
-            const shouldShow = isConnected || isOutputVisible;
-            const { displayType, colorClass } = getTypeDisplayInfo(property);
-
-            return shouldShow ? (
-              <div key={key} className="relative flex items-center gap-2">
-                {property?.description && (
-                  <TooltipProvider>
-                    <Tooltip>
-                      <TooltipTrigger asChild>
-                        <span
-                          style={{ marginLeft: 6, cursor: "pointer" }}
-                          aria-label="info"
-                          tabIndex={0}
-                        >
-                          <InfoIcon />
-                        </span>
-                      </TooltipTrigger>
-                      <TooltipContent>{property?.description}</TooltipContent>
-                    </Tooltip>
-                  </TooltipProvider>
-                )}
-                <Text variant="body" className="text-slate-700">
-                  {property?.title || key}{" "}
-                </Text>
-                <Text variant="small" as="span" className={colorClass}>
-                  ({displayType})
-                </Text>
-
-                <NodeHandle
-                  handleId={
-                    uiType === BlockUIType.AGENT ? key : generateHandleId(key)
-                  }
-                  isConnected={isConnected}
-                  side="right"
-                />
-              </div>
-            ) : null;
-          })}
-        </div>
-      }
+      <div className="flex flex-col items-end gap-2">
+        {renderOutputHandles(properties)}
+      </div>
     </div>
   );
 };

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

@@ -89,17 +89,53 @@ export function extractOptions(
 
 // get display type and color for schema types [need for type display next to field name]
 export const getTypeDisplayInfo = (schema: any) => {
+  if (
+    schema?.type === "array" &&
+    "format" in schema &&
+    schema.format === "table"
+  ) {
+    return {
+      displayType: "table",
+      colorClass: "!text-indigo-500",
+      hexColor: "#6366f1",
+    };
+  }
+
   if (schema?.type === "string" && schema?.format) {
     const formatMap: Record<
       string,
-      { displayType: string; colorClass: string }
+      { displayType: string; colorClass: string; hexColor: string }
     > = {
-      file: { displayType: "file", colorClass: "!text-green-500" },
-      date: { displayType: "date", colorClass: "!text-blue-500" },
-      time: { displayType: "time", colorClass: "!text-blue-500" },
-      "date-time": { displayType: "datetime", colorClass: "!text-blue-500" },
-      "long-text": { displayType: "text", colorClass: "!text-green-500" },
-      "short-text": { displayType: "text", colorClass: "!text-green-500" },
+      file: {
+        displayType: "file",
+        colorClass: "!text-green-500",
+        hexColor: "#22c55e",
+      },
+      date: {
+        displayType: "date",
+        colorClass: "!text-blue-500",
+        hexColor: "#3b82f6",
+      },
+      time: {
+        displayType: "time",
+        colorClass: "!text-blue-500",
+        hexColor: "#3b82f6",
+      },
+      "date-time": {
+        displayType: "datetime",
+        colorClass: "!text-blue-500",
+        hexColor: "#3b82f6",
+      },
+      "long-text": {
+        displayType: "text",
+        colorClass: "!text-green-500",
+        hexColor: "#22c55e",
+      },
+      "short-text": {
+        displayType: "text",
+        colorClass: "!text-green-500",
+        hexColor: "#22c55e",
+      },
     };
 
     const formatInfo = formatMap[schema.format];
@@ -131,10 +167,23 @@ export const getTypeDisplayInfo = (schema: any) => {
     any: "!text-gray-500",
   };
 
+  const hexColorMap: Record<string, string> = {
+    string: "#22c55e",
+    number: "#3b82f6",
+    integer: "#3b82f6",
+    boolean: "#eab308",
+    object: "#a855f7",
+    array: "#6366f1",
+    null: "#6b7280",
+    any: "#6b7280",
+  };
+
   const colorClass = colorMap[schema?.type] || "!text-gray-500";
+  const hexColor = hexColorMap[schema?.type] || "#6b7280";
 
   return {
     displayType,
     colorClass,
+    hexColor,
   };
 };

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/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/edgeStore.ts

@@ -4,6 +4,7 @@ import { CustomEdge } from "../components/FlowEditor/edges/CustomEdge";
 import { customEdgeToLink, linkToCustomEdge } from "../components/helper";
 import { MarkerType } from "@xyflow/react";
 import { NodeExecutionResult } from "@/app/api/__generated__/models/nodeExecutionResult";
+import { cleanUpHandleId } from "@/components/renderers/InputRenderer/helpers";
 
 type EdgeStore = {
   edges: CustomEdge[];
@@ -13,6 +14,8 @@ type EdgeStore = {
   removeEdge: (edgeId: string) => void;
   upsertMany: (edges: CustomEdge[]) => void;
 
+  removeEdgesByHandlePrefix: (nodeId: string, handlePrefix: string) => void;
+
   getNodeEdges: (nodeId: string) => CustomEdge[];
   isInputConnected: (nodeId: string, handle: string) => boolean;
   isOutputConnected: (nodeId: string, handle: string) => boolean;
@@ -79,11 +82,27 @@ export const useEdgeStore = create<EdgeStore>((set, get) => ({
       return { edges: Array.from(byKey.values()) };
     }),
 
+  removeEdgesByHandlePrefix: (nodeId, handlePrefix) =>
+    set((state) => ({
+      edges: state.edges.filter(
+        (e) =>
+          !(
+            e.target === nodeId &&
+            e.targetHandle &&
+            e.targetHandle.startsWith(handlePrefix)
+          ),
+      ),
+    })),
+
   getNodeEdges: (nodeId) =>
     get().edges.filter((e) => e.source === nodeId || e.target === nodeId),
 
-  isInputConnected: (nodeId, handle) =>
-    get().edges.some((e) => e.target === nodeId && e.targetHandle === handle),
+  isInputConnected: (nodeId, handle) => {
+    const cleanedHandle = cleanUpHandleId(handle);
+    return get().edges.some(
+      (e) => e.target === nodeId && e.targetHandle === cleanedHandle,
+    );
+  },
 
   isOutputConnected: (nodeId, handle) =>
     get().edges.some((e) => e.source === nodeId && e.sourceHandle === handle),
@@ -105,15 +124,15 @@ export const useEdgeStore = create<EdgeStore>((set, get) => ({
     targetNodeId: string,
     executionResult: NodeExecutionResult,
   ) => {
-    set((state) => ({
-      edges: state.edges.map((edge) => {
+    set((state) => {
+      let hasChanges = false;
+
+      const newEdges = state.edges.map((edge) => {
         if (edge.target !== targetNodeId) {
           return edge;
         }
 
-        const beadData =
-          edge.data?.beadData ??
-          new Map<string, NodeExecutionResult["status"]>();
+        const beadData = new Map(edge.data?.beadData ?? new Map());
 
         const inputValue = edge.targetHandle
           ? executionResult.input_data[edge.targetHandle]
@@ -137,6 +156,11 @@ export const useEdgeStore = create<EdgeStore>((set, get) => ({
           beadUp = beadDown + 1;
         }
 
+        if (edge.data?.beadUp === beadUp && edge.data?.beadDown === beadDown) {
+          return edge;
+        }
+
+        hasChanges = true;
         return {
           ...edge,
           data: {
@@ -146,8 +170,10 @@ export const useEdgeStore = create<EdgeStore>((set, get) => ({
             beadData,
           },
         };
-      }),
-    }));
+      });
+
+      return hasChanges ? { edges: newEdges } : state;
+    });
   },
 
   resetEdgeBeads: () => {

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

@@ -13,6 +13,10 @@ import { useHistoryStore } from "./historyStore";
 import { useEdgeStore } from "./edgeStore";
 import { BlockUIType } from "../components/types";
 import { pruneEmptyValues } from "@/lib/utils";
+import {
+  ensurePathExists,
+  parseHandleIdToPath,
+} from "@/components/renderers/InputRenderer/helpers";
 
 // Minimum movement (in pixels) required before logging position change to history
 // Prevents spamming history with small movements when clicking on inputs inside blocks
@@ -62,6 +66,11 @@ type NodeStore = {
     errors: { [key: string]: string },
   ) => void;
   clearAllNodeErrors: () => void; // Add this
+
+  syncHardcodedValuesWithHandleIds: (nodeId: string) => void;
+
+  // Credentials optional helpers
+  setCredentialsOptional: (nodeId: string, optional: boolean) => void;
 };
 
 export const useNodeStore = create<NodeStore>((set, get) => ({
@@ -220,6 +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,
+        }),
       },
     };
   },
@@ -305,4 +317,61 @@ export const useNodeStore = create<NodeStore>((set, get) => ({
       })),
     }));
   },
+
+  syncHardcodedValuesWithHandleIds: (nodeId: string) => {
+    const node = get().nodes.find((n) => n.id === nodeId);
+    if (!node) return;
+
+    const handleIds = useEdgeStore.getState().getAllHandleIdsOfANode(nodeId);
+    const additionalHandles = handleIds.filter((h) => h.includes("_#_"));
+
+    if (additionalHandles.length === 0) return;
+
+    const hardcodedValues = JSON.parse(
+      JSON.stringify(node.data.hardcodedValues || {}),
+    );
+
+    let modified = false;
+
+    additionalHandles.forEach((handleId) => {
+      const segments = parseHandleIdToPath(handleId);
+      if (ensurePathExists(hardcodedValues, segments)) {
+        modified = true;
+      }
+    });
+
+    if (modified) {
+      set((state) => ({
+        nodes: state.nodes.map((n) =>
+          n.id === nodeId ? { ...n, data: { ...n.data, hardcodedValues } } : n,
+        ),
+      }));
+    }
+  },
+
+  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)/library/agents/[id]/components/NewAgentLibraryView/components/modals/CredentialsInputs/CredentialsInputs.tsx

@@ -34,7 +34,9 @@ type Props = {
   onSelectCredentials: (newValue?: CredentialsMetaInput) => void;
   onLoaded?: (loaded: boolean) => void;
   readOnly?: boolean;
+  isOptional?: boolean;
   showTitle?: boolean;
+  variant?: "default" | "node";
 };
 
 export function CredentialsInput({
@@ -45,7 +47,9 @@ export function CredentialsInput({
   siblingInputs,
   onLoaded,
   readOnly = false,
+  isOptional = false,
   showTitle = true,
+  variant = "default",
 }: Props) {
   const hookData = useCredentialsInput({
     schema,
@@ -54,6 +58,7 @@ export function CredentialsInput({
     siblingInputs,
     onLoaded,
     readOnly,
+    isOptional,
   });
 
   if (!isLoaded(hookData)) {
@@ -94,7 +99,14 @@ 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 +115,17 @@ 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}
+              variant={variant}
             />
           ) : (
             <div className="mb-4 space-y-2">
@@ -143,6 +158,7 @@ export function CredentialsInput({
               size="small"
               onClick={handleActionButtonClick}
               className="w-fit"
+              type="button"
             >
               {actionButtonText}
             </Button>
@@ -155,6 +171,7 @@ export function CredentialsInput({
             size="small"
             onClick={handleActionButtonClick}
             className="w-fit"
+            type="button"
           >
             {actionButtonText}
           </Button>

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

@@ -30,6 +30,8 @@ type CredentialRowProps = {
   readOnly?: boolean;
   showCaret?: boolean;
   asSelectTrigger?: boolean;
+  /** When "node", applies compact styling for node context */
+  variant?: "default" | "node";
 };
 
 export function CredentialRow({
@@ -41,14 +43,22 @@ export function CredentialRow({
   readOnly = false,
   showCaret = false,
   asSelectTrigger = false,
+  variant = "default",
 }: CredentialRowProps) {
   const ProviderIcon = providerIcons[provider] || fallbackIcon;
+  const isNodeVariant = variant === "node";
 
   return (
     <div
       className={cn(
         "flex items-center gap-3 rounded-medium border border-zinc-200 bg-white p-3 transition-colors",
-        asSelectTrigger ? "border-0 bg-transparent" : readOnly ? "w-fit" : "",
+        asSelectTrigger && isNodeVariant
+          ? "min-w-0 flex-1 overflow-hidden border-0 bg-transparent"
+          : asSelectTrigger
+            ? "border-0 bg-transparent"
+            : readOnly
+              ? "w-fit"
+              : "",
       )}
       onClick={readOnly || showCaret || asSelectTrigger ? undefined : onSelect}
       style={
@@ -61,19 +71,31 @@ export function CredentialRow({
         <ProviderIcon className="h-3 w-3 text-white" />
       </div>
       <IconKey className="h-5 w-5 shrink-0 text-zinc-800" />
-      <div className="flex min-w-0 flex-1 flex-nowrap items-center gap-4">
+      <div
+        className={cn(
+          "flex min-w-0 flex-1 flex-nowrap items-center gap-4",
+          isNodeVariant && "overflow-hidden",
+        )}
+      >
         <Text
           variant="body"
-          className="line-clamp-1 flex-[0_0_50%] text-ellipsis tracking-tight"
+          className={cn(
+            "tracking-tight",
+            isNodeVariant
+              ? "truncate"
+              : "line-clamp-1 flex-[0_0_50%] text-ellipsis",
+          )}
         >
           {getCredentialDisplayName(credential, displayName)}
         </Text>
-        <Text
-          variant="large"
-          className="lex-[0_0_40%] relative top-1 hidden overflow-hidden whitespace-nowrap font-mono tracking-tight md:block"
-        >
-          {"*".repeat(MASKED_KEY_LENGTH)}
-        </Text>
+        {!(asSelectTrigger && isNodeVariant) && (
+          <Text
+            variant="large"
+            className="relative top-1 hidden overflow-hidden whitespace-nowrap font-mono tracking-tight md:block"
+          >
+            {"*".repeat(MASKED_KEY_LENGTH)}
+          </Text>
+        )}
       </div>
       {showCaret && !asSelectTrigger && (
         <CaretDown className="h-4 w-4 shrink-0 text-gray-400" />

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

@@ -7,6 +7,7 @@ import {
 } from "@/components/__legacy__/ui/select";
 import { Text } from "@/components/atoms/Text/Text";
 import { CredentialsMetaInput } from "@/lib/autogpt-server-api/types";
+import { cn } from "@/lib/utils";
 import { useEffect } from "react";
 import { getCredentialDisplayName } from "../../helpers";
 import { CredentialRow } from "../CredentialRow/CredentialRow";
@@ -23,7 +24,11 @@ interface Props {
   displayName: string;
   selectedCredentials?: CredentialsMetaInput;
   onSelectCredential: (credentialId: string) => void;
+  onClearCredential?: () => void;
   readOnly?: boolean;
+  allowNone?: boolean;
+  /** When "node", applies compact styling for node context */
+  variant?: "default" | "node";
 }
 
 export function CredentialsSelect({
@@ -32,22 +37,38 @@ export function CredentialsSelect({
   displayName,
   selectedCredentials,
   onSelectCredential,
+  onClearCredential,
   readOnly = false,
+  allowNone = true,
+  variant = "default",
 }: 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">
+        <SelectTrigger
+          className={cn(
+            "h-auto min-h-12 w-full rounded-medium border-zinc-200 p-0 pr-4 shadow-none",
+            variant === "node" && "overflow-hidden",
+          )}
+        >
           {selectedCredentials ? (
             <SelectValue key={selectedCredentials.id} asChild>
               <CredentialRow
@@ -63,6 +84,7 @@ export function CredentialsSelect({
                 onDelete={() => {}}
                 readOnly={readOnly}
                 asSelectTrigger={true}
+                variant={variant}
               />
             </SelectValue>
           ) : (
@@ -70,6 +92,15 @@ 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

@@ -8,6 +8,7 @@ import { WebhookTriggerBanner } from "../WebhookTriggerBanner/WebhookTriggerBann
 
 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/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 {

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

@@ -1,40 +0,0 @@
-import { LibraryAgent } from "@/app/api/__generated__/models/libraryAgent";
-import { Button } from "@/components/atoms/Button/Button";
-import { EyeIcon } from "@phosphor-icons/react";
-import { AgentActionsDropdown } from "../../AgentActionsDropdown";
-import { useScheduleDetailHeader } from "../../RunDetailHeader/useScheduleDetailHeader";
-import { SelectedActionsWrap } from "../../SelectedActionsWrap";
-
-type Props = {
-  agent: LibraryAgent;
-  scheduleId: string;
-  onDeleted?: () => void;
-};
-
-export function SelectedScheduleActions({ agent, scheduleId }: Props) {
-  const { openInBuilderHref } = useScheduleDetailHeader(
-    agent.graph_id,
-    scheduleId,
-    agent.graph_version,
-  );
-
-  return (
-    <>
-      <SelectedActionsWrap>
-        {openInBuilderHref && (
-          <Button
-            variant="icon"
-            size="icon"
-            as="NextLink"
-            href={openInBuilderHref}
-            target="_blank"
-            aria-label="View scheduled task details"
-          >
-            <EyeIcon weight="bold" size={18} className="text-zinc-700" />
-          </Button>
-        )}
-        <AgentActionsDropdown agent={agent} scheduleId={scheduleId} />
-      </SelectedActionsWrap>
-    </>
-  );
-}

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

@@ -0,0 +1,96 @@
+"use client";
+
+import { LibraryAgent } from "@/app/api/__generated__/models/libraryAgent";
+import { Button } from "@/components/atoms/Button/Button";
+import { LoadingSpinner } from "@/components/atoms/LoadingSpinner/LoadingSpinner";
+import { Text } from "@/components/atoms/Text/Text";
+import { Dialog } from "@/components/molecules/Dialog/Dialog";
+import { EyeIcon, TrashIcon } from "@phosphor-icons/react";
+import { AgentActionsDropdown } from "../../../AgentActionsDropdown";
+import { SelectedActionsWrap } from "../../../SelectedActionsWrap";
+import { useSelectedScheduleActions } from "./useSelectedScheduleActions";
+
+type Props = {
+  agent: LibraryAgent;
+  scheduleId: string;
+  onDeleted?: () => void;
+};
+
+export function SelectedScheduleActions({
+  agent,
+  scheduleId,
+  onDeleted,
+}: Props) {
+  const {
+    openInBuilderHref,
+    showDeleteDialog,
+    setShowDeleteDialog,
+    handleDelete,
+    isDeleting,
+  } = useSelectedScheduleActions({ agent, scheduleId, onDeleted });
+
+  return (
+    <>
+      <SelectedActionsWrap>
+        {openInBuilderHref && (
+          <Button
+            variant="icon"
+            size="icon"
+            as="NextLink"
+            href={openInBuilderHref}
+            target="_blank"
+            aria-label="View scheduled task details"
+          >
+            <EyeIcon weight="bold" size={18} className="text-zinc-700" />
+          </Button>
+        )}
+        <Button
+          variant="icon"
+          size="icon"
+          aria-label="Delete schedule"
+          onClick={() => setShowDeleteDialog(true)}
+          disabled={isDeleting}
+        >
+          {isDeleting ? (
+            <LoadingSpinner size="small" />
+          ) : (
+            <TrashIcon weight="bold" size={18} />
+          )}
+        </Button>
+        <AgentActionsDropdown agent={agent} scheduleId={scheduleId} />
+      </SelectedActionsWrap>
+
+      <Dialog
+        controlled={{
+          isOpen: showDeleteDialog,
+          set: setShowDeleteDialog,
+        }}
+        styling={{ maxWidth: "32rem" }}
+        title="Delete schedule"
+      >
+        <Dialog.Content>
+          <Text variant="large">
+            Are you sure you want to delete this schedule? This action cannot be
+            undone.
+          </Text>
+          <Dialog.Footer>
+            <Button
+              variant="secondary"
+              onClick={() => setShowDeleteDialog(false)}
+              disabled={isDeleting}
+            >
+              Cancel
+            </Button>
+            <Button
+              variant="destructive"
+              onClick={handleDelete}
+              loading={isDeleting}
+            >
+              Delete Schedule
+            </Button>
+          </Dialog.Footer>
+        </Dialog.Content>
+      </Dialog>
+    </>
+  );
+}

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

@@ -0,0 +1,65 @@
+"use client";
+
+import {
+  getGetV1ListExecutionSchedulesForAGraphQueryOptions,
+  useDeleteV1DeleteExecutionSchedule,
+} from "@/app/api/__generated__/endpoints/schedules/schedules";
+import { LibraryAgent } from "@/app/api/__generated__/models/libraryAgent";
+import { useToast } from "@/components/molecules/Toast/use-toast";
+import { useQueryClient } from "@tanstack/react-query";
+import { useState } from "react";
+
+interface UseSelectedScheduleActionsProps {
+  agent: LibraryAgent;
+  scheduleId: string;
+  onDeleted?: () => void;
+}
+
+export function useSelectedScheduleActions({
+  agent,
+  scheduleId,
+  onDeleted,
+}: UseSelectedScheduleActionsProps) {
+  const { toast } = useToast();
+  const queryClient = useQueryClient();
+  const [showDeleteDialog, setShowDeleteDialog] = useState(false);
+
+  const deleteMutation = useDeleteV1DeleteExecutionSchedule({
+    mutation: {
+      onSuccess: () => {
+        toast({ title: "Schedule deleted" });
+        queryClient.invalidateQueries({
+          queryKey: getGetV1ListExecutionSchedulesForAGraphQueryOptions(
+            agent.graph_id,
+          ).queryKey,
+        });
+        setShowDeleteDialog(false);
+        onDeleted?.();
+      },
+      onError: (error: unknown) =>
+        toast({
+          title: "Failed to delete schedule",
+          description:
+            error instanceof Error
+              ? error.message
+              : "An unexpected error occurred.",
+          variant: "destructive",
+        }),
+    },
+  });
+
+  function handleDelete() {
+    if (!scheduleId) return;
+    deleteMutation.mutate({ scheduleId });
+  }
+
+  const openInBuilderHref = `/build?flowID=${agent.graph_id}&flowVersion=${agent.graph_version}`;
+
+  return {
+    openInBuilderHref,
+    showDeleteDialog,
+    setShowDeleteDialog,
+    handleDelete,
+    isDeleting: deleteMutation.isPending,
+  };
+}

autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/NewAgentLibraryView/hooks/useMarketplaceUpdate.ts

@@ -40,15 +40,17 @@ export function useMarketplaceUpdate({ agent }: UseMarketplaceUpdateProps) {
     },
   );
 
-  // Get user's submissions to check for pending submissions
-  const { data: submissionsData } = useGetV2ListMySubmissions(
-    { page: 1, page_size: 50 }, // Get enough to cover recent submissions
-    {
-      query: {
-        enabled: !!user?.id, // Only fetch if user is authenticated
+  // Get user's submissions - only fetch if user is the creator
+  const { data: submissionsData, isLoading: isSubmissionsLoading } =
+    useGetV2ListMySubmissions(
+      { page: 1, page_size: 50 },
+      {
+        query: {
+          // Only fetch if user is the creator
+          enabled: !!(user?.id && agent?.owner_user_id === user.id),
+        },
       },
-    },
-  );
+    );
 
   const updateToLatestMutation = usePatchV2UpdateLibraryAgent({
     mutation: {
@@ -78,16 +80,45 @@ export function useMarketplaceUpdate({ agent }: UseMarketplaceUpdateProps) {
   // Check if marketplace has a newer version than user's current version
   const marketplaceUpdateInfo = React.useMemo(() => {
     const storeAgent = okData(storeAgentData) as any;
-    if (!agent || !storeAgent) {
+
+    if (!agent || isSubmissionsLoading) {
       return {
         hasUpdate: false,
         latestVersion: undefined,
         isUserCreator: false,
+        hasPublishUpdate: false,
+      };
+    }
+
+    const isUserCreator = agent?.owner_user_id === user?.id;
+
+    const submissionsResponse = okData(submissionsData) as any;
+    const agentSubmissions =
+      submissionsResponse?.submissions?.filter(
+        (submission: StoreSubmission) => submission.agent_id === agent.graph_id,
+      ) || [];
+
+    const highestSubmittedVersion =
+      agentSubmissions.length > 0
+        ? Math.max(
+            ...agentSubmissions.map(
+              (submission: StoreSubmission) => submission.agent_version,
+            ),
+          )
+        : 0;
+
+    const hasUnpublishedChanges =
+      isUserCreator && agent.graph_version > highestSubmittedVersion;
+
+    if (!storeAgent) {
+      return {
+        hasUpdate: false,
+        latestVersion: undefined,
+        isUserCreator,
+        hasPublishUpdate: agentSubmissions.length > 0 && hasUnpublishedChanges,
       };
     }
 
-    // Get the latest version from the marketplace
-    // agentGraphVersions array contains graph version numbers as strings, get the highest one
     const latestMarketplaceVersion =
       storeAgent.agentGraphVersions?.length > 0
         ? Math.max(
@@ -97,32 +128,11 @@ export function useMarketplaceUpdate({ agent }: UseMarketplaceUpdateProps) {
           )
         : undefined;
 
-    // Determine if the user is the creator of this agent
-    // Compare current user ID with the marketplace listing creator ID
-    const isUserCreator =
-      user?.id && agent.marketplace_listing?.creator.id === user.id;
-
-    // Check if there's a pending submission for this specific agent version
-    const submissionsResponse = okData(submissionsData) as any;
-    const hasPendingSubmissionForCurrentVersion =
-      isUserCreator &&
-      submissionsResponse?.submissions?.some(
-        (submission: StoreSubmission) =>
-          submission.agent_id === agent.graph_id &&
-          submission.agent_version === agent.graph_version &&
-          submission.status === "PENDING",
-      );
-
-    // If user is creator and their version is newer than marketplace, show publish update banner
-    // BUT only if there's no pending submission for this version
     const hasPublishUpdate =
       isUserCreator &&
-      !hasPendingSubmissionForCurrentVersion &&
-      latestMarketplaceVersion !== undefined &&
-      agent.graph_version > latestMarketplaceVersion;
+      agent.graph_version >
+        Math.max(latestMarketplaceVersion || 0, highestSubmittedVersion);
 
-    // If marketplace version is newer than user's version, show update banner
-    // This applies to both creators and non-creators
     const hasMarketplaceUpdate =
       latestMarketplaceVersion !== undefined &&
       latestMarketplaceVersion > agent.graph_version;
@@ -133,7 +143,7 @@ export function useMarketplaceUpdate({ agent }: UseMarketplaceUpdateProps) {
       isUserCreator,
       hasPublishUpdate,
     };
-  }, [agent, storeAgentData, user, submissionsData]);
+  }, [agent, storeAgentData, user, submissionsData, isSubmissionsLoading]);
 
   const handlePublishUpdate = () => {
     setModalOpen(true);

autogpt_platform/frontend/src/app/(platform)/library/components/FavoritesSection/FavoritesSection.tsx

@@ -1,16 +1,17 @@
 "use client";
 
-import React from "react";
-import { useFavoriteAgents } from "../../hooks/useFavoriteAgents";
-import LibraryAgentCard from "../LibraryAgentCard/LibraryAgentCard";
-import { useGetFlag, Flag } from "@/services/feature-flags/use-get-flag";
-import { Heart } from "lucide-react";
-import { Skeleton } from "@/components/__legacy__/ui/skeleton";
-import { InfiniteScroll } from "@/components/contextual/InfiniteScroll/InfiniteScroll";
 import { LibraryAgent } from "@/app/api/__generated__/models/libraryAgent";
+import { Text } from "@/components/atoms/Text/Text";
+import { InfiniteScroll } from "@/components/contextual/InfiniteScroll/InfiniteScroll";
+import { HeartIcon } from "@phosphor-icons/react";
+import { useFavoriteAgents } from "../../hooks/useFavoriteAgents";
+import { LibraryAgentCard } from "../LibraryAgentCard/LibraryAgentCard";
 
-export default function FavoritesSection() {
-  const isAgentFavoritingEnabled = useGetFlag(Flag.AGENT_FAVORITING);
+interface Props {
+  searchTerm: string;
+}
+
+export function FavoritesSection({ searchTerm }: Props) {
   const {
     allAgents: favoriteAgents,
     agentLoading: isLoading,
@@ -18,60 +19,50 @@ export default function FavoritesSection() {
     hasNextPage,
     fetchNextPage,
     isFetchingNextPage,
-  } = useFavoriteAgents();
+  } = useFavoriteAgents({ searchTerm });
 
-  // Only show this section if the feature flag is enabled
-  if (!isAgentFavoritingEnabled) {
-    return null;
-  }
-
-  // Don't show the section if there are no favorites
-  if (!isLoading && favoriteAgents.length === 0) {
+  if (isLoading || favoriteAgents.length === 0) {
     return null;
   }
 
   return (
-    <div className="mb-8">
-      <div className="flex items-center gap-[10px] p-2 pb-[10px]">
-        <Heart className="h-5 w-5 fill-red-500 text-red-500" />
-        <span className="font-poppin text-[18px] font-semibold leading-[28px] text-neutral-800">
-          Favorites
-        </span>
-        {!isLoading && (
-          <span className="font-sans text-[14px] font-normal leading-6">
-            {agentCount} {agentCount === 1 ? "agent" : "agents"}
-          </span>
-        )}
+    <div className="!mb-8">
+      <div className="mb-3 flex items-center gap-2 p-2">
+        <HeartIcon className="h-5 w-5" weight="fill" />
+        <div className="flex items-baseline gap-2">
+          <Text variant="h4">Favorites</Text>
+          {!isLoading && (
+            <Text
+              variant="body"
+              data-testid="agents-count"
+              className="relative bottom-px text-zinc-500"
+            >
+              {agentCount}
+            </Text>
+          )}
+        </div>
       </div>
 
       <div className="relative">
-        {isLoading ? (
+        <InfiniteScroll
+          isFetchingNextPage={isFetchingNextPage}
+          fetchNextPage={fetchNextPage}
+          hasNextPage={hasNextPage}
+          loader={
+            <div className="flex h-8 w-full items-center justify-center">
+              <div className="h-6 w-6 animate-spin rounded-full border-b-2 border-t-2 border-neutral-800" />
+            </div>
+          }
+        >
           <div className="grid grid-cols-1 gap-4 sm:grid-cols-2 lg:grid-cols-3 xl:grid-cols-4">
-            {[...Array(4)].map((_, i) => (
-              <Skeleton key={i} className="h-48 w-full rounded-lg" />
+            {favoriteAgents.map((agent: LibraryAgent) => (
+              <LibraryAgentCard key={agent.id} agent={agent} />
             ))}
           </div>
-        ) : (
-          <InfiniteScroll
-            isFetchingNextPage={isFetchingNextPage}
-            fetchNextPage={fetchNextPage}
-            hasNextPage={hasNextPage}
-            loader={
-              <div className="flex h-8 w-full items-center justify-center">
-                <div className="h-6 w-6 animate-spin rounded-full border-b-2 border-t-2 border-neutral-800" />
-              </div>
-            }
-          >
-            <div className="grid grid-cols-1 gap-4 sm:grid-cols-2 lg:grid-cols-3 xl:grid-cols-4">
-              {favoriteAgents.map((agent: LibraryAgent) => (
-                <LibraryAgentCard key={agent.id} agent={agent} />
-              ))}
-            </div>
-          </InfiniteScroll>
-        )}
+        </InfiniteScroll>
       </div>
 
-      {favoriteAgents.length > 0 && <div className="mt-6 border-t pt-6" />}
+      {favoriteAgents.length > 0 && <div className="!mt-10 border-t" />}
     </div>
   );
 }

autogpt_platform/frontend/src/app/(platform)/library/components/LibraryActionHeader/LibraryActionHeader.tsx

@@ -1,34 +1,28 @@
-// import LibraryNotificationDropdown from "./library-notification-dropdown";
+import { LibrarySearchBar } from "../LibrarySearchBar/LibrarySearchBar";
 import LibraryUploadAgentDialog from "../LibraryUploadAgentDialog/LibraryUploadAgentDialog";
-import LibrarySearchBar from "../LibrarySearchBar/LibrarySearchBar";
 
-type LibraryActionHeaderProps = Record<string, never>;
+interface Props {
+  setSearchTerm: (value: string) => void;
+}
 
-/**
- * LibraryActionHeader component - Renders a header with search, notifications and filters
- */
-const LibraryActionHeader: React.FC<LibraryActionHeaderProps> = ({}) => {
+export function LibraryActionHeader({ setSearchTerm }: Props) {
   return (
     <>
-      <div className="mb-[32px] hidden items-start justify-between md:flex">
-        {/* <LibraryNotificationDropdown /> */}
-        <LibrarySearchBar />
+      <div className="mb-[32px] hidden items-center justify-center gap-4 md:flex">
+        <LibrarySearchBar setSearchTerm={setSearchTerm} />
         <LibraryUploadAgentDialog />
       </div>
 
       {/* Mobile and tablet */}
       <div className="flex flex-col gap-4 p-4 pt-[52px] md:hidden">
         <div className="flex w-full justify-between">
-          {/* <LibraryNotificationDropdown /> */}
           <LibraryUploadAgentDialog />
         </div>
 
         <div className="flex items-center justify-center">
-          <LibrarySearchBar />
+          <LibrarySearchBar setSearchTerm={setSearchTerm} />
         </div>
       </div>
     </>
   );
-};
-
-export default LibraryActionHeader;
+}