Merge branch 'dev' into feat/ai-generated-mode

- Removed default value from is_ai_generated parameter
- Forces all callers to explicitly specify whether graph is AI-generated
- Explicitly set is_ai_generated=False for store installations (curated user-published agents)
- Makes the code more explicit and prevents accidental defaults

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

@@ -401,28 +401,11 @@ async def add_generated_agent_image(
     )
 
 
-def _initialize_graph_settings(graph: graph_db.GraphModel) -> GraphSettings:
-    """
-    Initialize GraphSettings based on graph content.
-
-    Args:
-        graph: The graph to analyze
-
-    Returns:
-        GraphSettings with appropriate human_in_the_loop_safe_mode value
-    """
-    if graph.has_human_in_the_loop:
-        # Graph has HITL blocks - set safe mode to True by default
-        return GraphSettings(human_in_the_loop_safe_mode=True)
-    else:
-        # Graph has no HITL blocks - keep None
-        return GraphSettings(human_in_the_loop_safe_mode=None)
-
-
 async def create_library_agent(
     graph: graph_db.GraphModel,
     user_id: str,
     create_library_agents_for_sub_graphs: bool = True,
+    is_ai_generated: bool = False,
 ) -> list[library_model.LibraryAgent]:
     """
     Adds an agent to the user's library (LibraryAgent table).
@@ -431,6 +414,7 @@ async def create_library_agent(
         agent: The agent/Graph to add to the library.
         user_id: The user to whom the agent will be added.
         create_library_agents_for_sub_graphs: If True, creates LibraryAgent records for sub-graphs as well.
+        is_ai_generated: Whether this graph was AI-generated.
 
     Returns:
         The newly created LibraryAgent records.
@@ -465,7 +449,9 @@ async def create_library_agent(
                             }
                         },
                         settings=SafeJson(
-                            _initialize_graph_settings(graph_entry).model_dump()
+                            GraphSettings.from_graph(
+                                graph_entry, is_ai_generated=is_ai_generated
+                            ).model_dump()
                         ),
                     ),
                     include=library_agent_include(
@@ -627,33 +613,6 @@ async def update_library_agent(
         raise DatabaseError("Failed to update library agent") from e
 
 
-async def update_library_agent_settings(
-    user_id: str,
-    agent_id: str,
-    settings: GraphSettings,
-) -> library_model.LibraryAgent:
-    """
-    Updates the settings for a specific LibraryAgent.
-
-    Args:
-        user_id: The owner of the LibraryAgent.
-        agent_id: The ID of the LibraryAgent to update.
-        settings: New GraphSettings to apply.
-
-    Returns:
-        The updated LibraryAgent.
-
-    Raises:
-        NotFoundError: If the specified LibraryAgent does not exist.
-        DatabaseError: If there's an error in the update operation.
-    """
-    return await update_library_agent(
-        library_agent_id=agent_id,
-        user_id=user_id,
-        settings=settings,
-    )
-
-
 async def delete_library_agent(
     library_agent_id: str, user_id: str, soft_delete: bool = True
 ) -> None:
@@ -838,7 +797,9 @@ async def add_store_agent_to_library(
                 "isCreatedByUser": False,
                 "useGraphIsActiveVersion": False,
                 "settings": SafeJson(
-                    _initialize_graph_settings(graph_model).model_dump()
+                    GraphSettings.from_graph(
+                        graph_model, is_ai_generated=False
+                    ).model_dump()
                 ),
             },
             include=library_agent_include(

autogpt_platform/backend/backend/api/features/v1.py

@@ -762,10 +762,10 @@ async def create_new_graph(
     graph.reassign_ids(user_id=user_id, reassign_graph_id=True)
     graph.validate_graph(for_run=False)
 
-    # The return value of the create graph & library function is intentionally not used here,
-    # as the graph already valid and no sub-graphs are returned back.
     await graph_db.create_graph(graph, user_id=user_id)
-    await library_db.create_library_agent(graph, user_id=user_id)
+    await library_db.create_library_agent(
+        graph, user_id=user_id, is_ai_generated=create_graph.is_ai_generated
+    )
     activated_graph = await on_graph_activate(graph, user_id=user_id)
 
     if create_graph.source == "builder":
@@ -889,21 +889,17 @@ async def set_graph_active_version(
 async def _update_library_agent_version_and_settings(
     user_id: str, agent_graph: graph_db.GraphModel
 ) -> library_model.LibraryAgent:
-    # Keep the library agent up to date with the new active version
     library = await library_db.update_agent_version_in_library(
         user_id, agent_graph.id, agent_graph.version
     )
-    # If the graph has HITL node, initialize the setting if it's not already set.
-    if (
-        agent_graph.has_human_in_the_loop
-        and library.settings.human_in_the_loop_safe_mode is None
-    ):
-        await library_db.update_library_agent_settings(
+    updated_settings = GraphSettings.from_graph(
+        agent_graph, is_ai_generated=library.settings.is_ai_generated_graph
+    )
+    if updated_settings != library.settings:
+        library = await library_db.update_library_agent(
+            library_agent_id=library.id,
             user_id=user_id,
-            agent_id=library.id,
-            settings=library.settings.model_copy(
-                update={"human_in_the_loop_safe_mode": True}
-            ),
+            settings=updated_settings,
         )
     return library
 
@@ -920,21 +916,18 @@ async def update_graph_settings(
     user_id: Annotated[str, Security(get_user_id)],
 ) -> GraphSettings:
     """Update graph settings for the user's library agent."""
-    # Get the library agent for this graph
     library_agent = await library_db.get_library_agent_by_graph_id(
         graph_id=graph_id, user_id=user_id
     )
     if not library_agent:
         raise HTTPException(404, f"Graph #{graph_id} not found in user's library")
 
-    # Update the library agent settings
-    updated_agent = await library_db.update_library_agent_settings(
+    updated_agent = await library_db.update_library_agent(
+        library_agent_id=library_agent.id,
         user_id=user_id,
-        agent_id=library_agent.id,
         settings=settings,
     )
 
-    # Return the updated settings
     return GraphSettings.model_validate(updated_agent.settings)
 
 

autogpt_platform/backend/backend/api/model.py

@@ -43,6 +43,7 @@ GraphExecutionSource = Literal["builder", "library", "onboarding"]
 class CreateGraph(pydantic.BaseModel):
     graph: Graph
     source: GraphCreationSource | None = None
+    is_ai_generated: bool = False
 
 
 class CreateAPIKeyRequest(pydantic.BaseModel):

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}
@@ -1147,8 +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/blocks/wordpress/__init__.py

@@ -1,3 +1,3 @@
-from .blog import WordPressCreatePostBlock
+from .blog import WordPressCreatePostBlock, WordPressGetAllPostsBlock
 
-__all__ = ["WordPressCreatePostBlock"]
+__all__ = ["WordPressCreatePostBlock", "WordPressGetAllPostsBlock"]

autogpt_platform/backend/backend/blocks/wordpress/_api.py

@@ -161,7 +161,7 @@ async def oauth_exchange_code_for_tokens(
         grant_type="authorization_code",
     ).model_dump(exclude_none=True)
 
-    response = await Requests().post(
+    response = await Requests(raise_for_status=False).post(
         f"{WORDPRESS_BASE_URL}oauth2/token",
         headers=headers,
         data=data,
@@ -205,7 +205,7 @@ async def oauth_refresh_tokens(
         grant_type="refresh_token",
     ).model_dump(exclude_none=True)
 
-    response = await Requests().post(
+    response = await Requests(raise_for_status=False).post(
         f"{WORDPRESS_BASE_URL}oauth2/token",
         headers=headers,
         data=data,
@@ -252,7 +252,7 @@ async def validate_token(
         "token": token,
     }
 
-    response = await Requests().get(
+    response = await Requests(raise_for_status=False).get(
         f"{WORDPRESS_BASE_URL}oauth2/token-info",
         params=params,
     )
@@ -296,7 +296,7 @@ async def make_api_request(
 
     url = f"{WORDPRESS_BASE_URL.rstrip('/')}{endpoint}"
 
-    request_method = getattr(Requests(), method.lower())
+    request_method = getattr(Requests(raise_for_status=False), method.lower())
     response = await request_method(
         url,
         headers=headers,
@@ -476,6 +476,7 @@ async def create_post(
         data["tags"] = ",".join(str(t) for t in data["tags"])
 
     # Make the API request
+    site = normalize_site(site)
     endpoint = f"/rest/v1.1/sites/{site}/posts/new"
 
     headers = {
@@ -483,7 +484,7 @@ async def create_post(
         "Content-Type": "application/x-www-form-urlencoded",
     }
 
-    response = await Requests().post(
+    response = await Requests(raise_for_status=False).post(
         f"{WORDPRESS_BASE_URL.rstrip('/')}{endpoint}",
         headers=headers,
         data=data,
@@ -499,3 +500,132 @@ async def create_post(
     )
     error_message = error_data.get("message", response.text)
     raise ValueError(f"Failed to create post: {response.status} - {error_message}")
+
+
+class Post(BaseModel):
+    """Response model for individual posts in a posts list response.
+
+    This is a simplified version compared to PostResponse, as the list endpoint
+    returns less detailed information than the create/get single post endpoints.
+    """
+
+    ID: int
+    site_ID: int
+    author: PostAuthor
+    date: datetime
+    modified: datetime
+    title: str
+    URL: str
+    short_URL: str
+    content: str | None = None
+    excerpt: str | None = None
+    slug: str
+    guid: str
+    status: str
+    sticky: bool
+    password: str | None = ""
+    parent: Union[Dict[str, Any], bool, None] = None
+    type: str
+    discussion: Dict[str, Union[str, bool, int]] | None = None
+    likes_enabled: bool | None = None
+    sharing_enabled: bool | None = None
+    like_count: int | None = None
+    i_like: bool | None = None
+    is_reblogged: bool | None = None
+    is_following: bool | None = None
+    global_ID: str | None = None
+    featured_image: str | None = None
+    post_thumbnail: Dict[str, Any] | None = None
+    format: str | None = None
+    geo: Union[Dict[str, Any], bool, None] = None
+    menu_order: int | None = None
+    page_template: str | None = None
+    publicize_URLs: List[str] | None = None
+    terms: Dict[str, Dict[str, Any]] | None = None
+    tags: Dict[str, Dict[str, Any]] | None = None
+    categories: Dict[str, Dict[str, Any]] | None = None
+    attachments: Dict[str, Dict[str, Any]] | None = None
+    attachment_count: int | None = None
+    metadata: List[Dict[str, Any]] | None = None
+    meta: Dict[str, Any] | None = None
+    capabilities: Dict[str, bool] | None = None
+    revisions: List[int] | None = None
+    other_URLs: Dict[str, Any] | None = None
+
+
+class PostsResponse(BaseModel):
+    """Response model for WordPress posts list."""
+
+    found: int
+    posts: List[Post]
+    meta: Dict[str, Any]
+
+
+def normalize_site(site: str) -> str:
+    """
+    Normalize a site identifier by stripping protocol and trailing slashes.
+
+    Args:
+        site: Site URL, domain, or ID (e.g., "https://myblog.wordpress.com/", "myblog.wordpress.com", "123456789")
+
+    Returns:
+        Normalized site identifier (domain or ID only)
+    """
+    site = site.strip()
+    if site.startswith("https://"):
+        site = site[8:]
+    elif site.startswith("http://"):
+        site = site[7:]
+    return site.rstrip("/")
+
+
+async def get_posts(
+    credentials: Credentials,
+    site: str,
+    status: PostStatus | None = None,
+    number: int = 100,
+    offset: int = 0,
+) -> PostsResponse:
+    """
+    Get posts from a WordPress site.
+
+    Args:
+        credentials: OAuth credentials
+        site: Site ID or domain (e.g., "myblog.wordpress.com" or "123456789")
+        status: Filter by post status using PostStatus enum, or None for all
+        number: Number of posts to retrieve (max 100)
+        offset: Number of posts to skip (for pagination)
+
+    Returns:
+        PostsResponse with the list of posts
+    """
+    site = normalize_site(site)
+    endpoint = f"/rest/v1.1/sites/{site}/posts"
+
+    headers = {
+        "Authorization": credentials.auth_header(),
+    }
+
+    params: Dict[str, Any] = {
+        "number": max(1, min(number, 100)),  # 1–100 posts per request
+        "offset": offset,
+    }
+
+    if status:
+        params["status"] = status.value
+    response = await Requests(raise_for_status=False).get(
+        f"{WORDPRESS_BASE_URL.rstrip('/')}{endpoint}",
+        headers=headers,
+        params=params,
+    )
+
+    if response.ok:
+        return PostsResponse.model_validate(response.json())
+
+    error_data = (
+        response.json()
+        if response.headers.get("content-type", "").startswith("application/json")
+        else {}
+    )
+    error_message = error_data.get("message", response.text)
+    raise ValueError(f"Failed to get posts: {response.status} - {error_message}")

autogpt_platform/backend/backend/blocks/wordpress/blog.py

@@ -9,7 +9,15 @@ from backend.sdk import (
     SchemaField,
 )
 
-from ._api import CreatePostRequest, PostResponse, PostStatus, create_post
+from ._api import (
+    CreatePostRequest,
+    Post,
+    PostResponse,
+    PostsResponse,
+    PostStatus,
+    create_post,
+    get_posts,
+)
 from ._config import wordpress
 
 
@@ -49,8 +57,15 @@ class WordPressCreatePostBlock(Block):
         media_urls: list[str] = SchemaField(
             description="URLs of images to sideload and attach to the post", default=[]
         )
+        publish_as_draft: bool = SchemaField(
+            description="If True, publishes the post as a draft. If False, publishes it publicly.",
+            default=False,
+        )
 
     class Output(BlockSchemaOutput):
+        site: str = SchemaField(
+            description="The site ID or domain (pass-through for chaining with other blocks)"
+        )
         post_id: int = SchemaField(description="The ID of the created post")
         post_url: str = SchemaField(description="The full URL of the created post")
         short_url: str = SchemaField(description="The shortened wp.me URL")
@@ -78,7 +93,9 @@ class WordPressCreatePostBlock(Block):
             tags=input_data.tags,
             featured_image=input_data.featured_image,
             media_urls=input_data.media_urls,
-            status=PostStatus.PUBLISH,
+            status=(
+                PostStatus.DRAFT if input_data.publish_as_draft else PostStatus.PUBLISH
+            ),
         )
 
         post_response: PostResponse = await create_post(
@@ -87,7 +104,69 @@ class WordPressCreatePostBlock(Block):
             post_data=post_request,
         )
 
+        yield "site", input_data.site
         yield "post_id", post_response.ID
         yield "post_url", post_response.URL
         yield "short_url", post_response.short_URL
         yield "post_data", post_response.model_dump()
+
+
+class WordPressGetAllPostsBlock(Block):
+    """
+    Fetches all posts from a WordPress.com site or Jetpack-enabled site.
+    Supports filtering by status and pagination.
+    """
+
+    class Input(BlockSchemaInput):
+        credentials: CredentialsMetaInput = wordpress.credentials_field()
+        site: str = SchemaField(
+            description="Site ID or domain (e.g., 'myblog.wordpress.com' or '123456789')"
+        )
+        status: PostStatus | None = SchemaField(
+            description="Filter by post status, or None for all",
+            default=None,
+        )
+        number: int = SchemaField(
+            description="Number of posts to retrieve (max 100 per request)", default=20
+        )
+        offset: int = SchemaField(
+            description="Number of posts to skip (for pagination)", default=0
+        )
+
+    class Output(BlockSchemaOutput):
+        site: str = SchemaField(
+            description="The site ID or domain (pass-through for chaining with other blocks)"
+        )
+        found: int = SchemaField(description="Total number of posts found")
+        posts: list[Post] = SchemaField(
+            description="List of post objects with their details"
+        )
+        post: Post = SchemaField(
+            description="Individual post object (yielded for each post)"
+        )
+
+    def __init__(self):
+        super().__init__(
+            id="97728fa7-7f6f-4789-ba0c-f2c114119536",
+            description="Fetch all posts from WordPress.com or Jetpack sites",
+            categories={BlockCategory.SOCIAL},
+            input_schema=self.Input,
+            output_schema=self.Output,
+        )
+
+    async def run(
+        self, input_data: Input, *, credentials: Credentials, **kwargs
+    ) -> BlockOutput:
+        posts_response: PostsResponse = await get_posts(
+            credentials=credentials,
+            site=input_data.site,
+            status=input_data.status,
+            number=input_data.number,
+            offset=input_data.offset,
+        )
+
+        yield "site", input_data.site
+        yield "found", posts_response.found
+        yield "posts", posts_response.posts
+        for post in posts_response.posts:
+            yield "post", post

autogpt_platform/backend/backend/data/block.py

@@ -637,8 +637,11 @@ class Block(ABC, Generic[BlockSchemaInputType, BlockSchemaOutputType]):
             - 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:
+        if not (
+            self.requires_human_review
+            and execution_context.safe_mode
+            and execution_context.is_ai_generated_graph
+        ):
             return False, input_data
 
         from backend.blocks.helpers.review import HITLReviewHelper

autogpt_platform/backend/backend/data/execution.py

@@ -82,6 +82,7 @@ class ExecutionContext(BaseModel):
     """
 
     safe_mode: bool = True
+    is_ai_generated_graph: bool = False
     user_timezone: str = "UTC"
     root_execution_id: Optional[str] = None
     parent_execution_id: Optional[str] = None

autogpt_platform/backend/backend/data/graph.py

@@ -63,6 +63,14 @@ logger = logging.getLogger(__name__)
 
 class GraphSettings(BaseModel):
     human_in_the_loop_safe_mode: bool | None = None
+    is_ai_generated_graph: bool = False
+
+    @classmethod
+    def from_graph(cls, graph: "GraphModel", is_ai_generated: bool) -> "GraphSettings":
+        return cls(
+            human_in_the_loop_safe_mode=(True if graph.has_human_in_the_loop else None),
+            is_ai_generated_graph=is_ai_generated,
+        )
 
 
 class Link(BaseDbModel):

autogpt_platform/backend/backend/executor/utils.py

@@ -877,6 +877,7 @@ async def add_graph_execution(
                 if settings.human_in_the_loop_safe_mode is not None
                 else True
             ),
+            is_ai_generated_graph=settings.is_ai_generated_graph,
             user_timezone=(
                 user.timezone if user.timezone != USER_TIMEZONE_NOT_SET else "UTC"
             ),

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

@@ -68,7 +68,10 @@ export const NodeHeader = ({ data, nodeId }: Props) => {
                 <Tooltip>
                   <TooltipTrigger asChild>
                     <div>
-                      <Text variant="large-semibold" className="line-clamp-1">
+                      <Text
+                        variant="large-semibold"
+                        className="line-clamp-1 hover:cursor-text"
+                      >
                         {beautifyString(title).replace("Block", "").trim()}
                       </Text>
                     </div>

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

@@ -89,6 +89,18 @@ 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,

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

@@ -36,6 +36,7 @@ type Props = {
   readOnly?: boolean;
   isOptional?: boolean;
   showTitle?: boolean;
+  variant?: "default" | "node";
 };
 
 export function CredentialsInput({
@@ -48,6 +49,7 @@ export function CredentialsInput({
   readOnly = false,
   isOptional = false,
   showTitle = true,
+  variant = "default",
 }: Props) {
   const hookData = useCredentialsInput({
     schema,
@@ -123,6 +125,7 @@ export function CredentialsInput({
               onClearCredential={() => onSelectCredential(undefined)}
               readOnly={readOnly}
               allowNone={isOptional}
+              variant={variant}
             />
           ) : (
             <div className="mb-4 space-y-2">

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";
@@ -26,6 +27,8 @@ interface Props {
   onClearCredential?: () => void;
   readOnly?: boolean;
   allowNone?: boolean;
+  /** When "node", applies compact styling for node context */
+  variant?: "default" | "node";
 }
 
 export function CredentialsSelect({
@@ -37,6 +40,7 @@ export function CredentialsSelect({
   onClearCredential,
   readOnly = false,
   allowNone = true,
+  variant = "default",
 }: Props) {
   // Auto-select first credential if none is selected (only if allowNone is false)
   useEffect(() => {
@@ -59,7 +63,12 @@ export function CredentialsSelect({
         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
@@ -75,6 +84,7 @@ export function CredentialsSelect({
                 onDelete={() => {}}
                 readOnly={readOnly}
                 asSelectTrigger={true}
+                variant={variant}
               />
             </SelectValue>
           ) : (

autogpt_platform/frontend/src/components/molecules/Table/Table.stories.tsx

@@ -0,0 +1,116 @@
+import type { Meta, StoryObj } from "@storybook/nextjs";
+import { TooltipProvider } from "@/components/atoms/Tooltip/BaseTooltip";
+import { Table } from "./Table";
+
+const meta = {
+  title: "Molecules/Table",
+  component: Table,
+  decorators: [
+    (Story) => (
+      <TooltipProvider>
+        <Story />
+      </TooltipProvider>
+    ),
+  ],
+  parameters: {
+    layout: "centered",
+  },
+  tags: ["autodocs"],
+  argTypes: {
+    allowAddRow: {
+      control: "boolean",
+      description: "Whether to show the Add row button",
+    },
+    allowDeleteRow: {
+      control: "boolean",
+      description: "Whether to show delete buttons for each row",
+    },
+    readOnly: {
+      control: "boolean",
+      description:
+        "Whether the table is read-only (renders text instead of inputs)",
+    },
+    addRowLabel: {
+      control: "text",
+      description: "Label for the Add row button",
+    },
+  },
+} satisfies Meta<typeof Table>;
+
+export default meta;
+type Story = StoryObj<typeof meta>;
+
+export const Default: Story = {
+  args: {
+    columns: ["name", "email", "role"],
+    allowAddRow: true,
+    allowDeleteRow: true,
+  },
+};
+
+export const WithDefaultValues: Story = {
+  args: {
+    columns: ["name", "email", "role"],
+    defaultValues: [
+      { name: "John Doe", email: "john@example.com", role: "Admin" },
+      { name: "Jane Smith", email: "jane@example.com", role: "User" },
+      { name: "Bob Wilson", email: "bob@example.com", role: "Editor" },
+    ],
+    allowAddRow: true,
+    allowDeleteRow: true,
+  },
+};
+
+export const ReadOnly: Story = {
+  args: {
+    columns: ["name", "email"],
+    defaultValues: [
+      { name: "John Doe", email: "john@example.com" },
+      { name: "Jane Smith", email: "jane@example.com" },
+    ],
+    readOnly: true,
+  },
+};
+
+export const NoAddOrDelete: Story = {
+  args: {
+    columns: ["name", "email"],
+    defaultValues: [
+      { name: "John Doe", email: "john@example.com" },
+      { name: "Jane Smith", email: "jane@example.com" },
+    ],
+    allowAddRow: false,
+    allowDeleteRow: false,
+  },
+};
+
+export const SingleColumn: Story = {
+  args: {
+    columns: ["item"],
+    allowAddRow: true,
+    allowDeleteRow: true,
+    addRowLabel: "Add item",
+  },
+};
+
+export const CustomAddLabel: Story = {
+  args: {
+    columns: ["key", "value"],
+    allowAddRow: true,
+    allowDeleteRow: true,
+    addRowLabel: "Add new entry",
+  },
+};
+
+export const KeyValuePairs: Story = {
+  args: {
+    columns: ["key", "value"],
+    defaultValues: [
+      { key: "API_KEY", value: "sk-..." },
+      { key: "DATABASE_URL", value: "postgres://..." },
+    ],
+    allowAddRow: true,
+    allowDeleteRow: true,
+    addRowLabel: "Add variable",
+  },
+};

autogpt_platform/frontend/src/components/molecules/Table/Table.tsx

@@ -0,0 +1,133 @@
+import * as React from "react";
+import {
+  Table as BaseTable,
+  TableBody,
+  TableCell,
+  TableHead,
+  TableHeader,
+  TableRow,
+} from "@/components/__legacy__/ui/table";
+import { Button } from "@/components/atoms/Button/Button";
+import { Input } from "@/components/atoms/Input/Input";
+import { Text } from "@/components/atoms/Text/Text";
+import { Plus, Trash2 } from "lucide-react";
+import { cn } from "@/lib/utils";
+import { useTable, RowData } from "./useTable";
+import { formatColumnTitle, formatPlaceholder } from "./helpers";
+
+export interface TableProps {
+  columns: string[];
+  defaultValues?: RowData[];
+  onChange?: (rows: RowData[]) => void;
+  allowAddRow?: boolean;
+  allowDeleteRow?: boolean;
+  addRowLabel?: string;
+  className?: string;
+  readOnly?: boolean;
+}
+
+export function Table({
+  columns,
+  defaultValues,
+  onChange,
+  allowAddRow = true,
+  allowDeleteRow = true,
+  addRowLabel = "Add row",
+  className,
+  readOnly = false,
+}: TableProps) {
+  const { rows, handleAddRow, handleDeleteRow, handleCellChange } = useTable({
+    columns,
+    defaultValues,
+    onChange,
+  });
+
+  const showDeleteColumn = allowDeleteRow && !readOnly;
+  const showAddButton = allowAddRow && !readOnly;
+
+  return (
+    <div className={cn("flex flex-col gap-3", className)}>
+      <div className="overflow-hidden rounded-xl border border-zinc-200 bg-white">
+        <BaseTable>
+          <TableHeader>
+            <TableRow className="border-b border-zinc-100 bg-zinc-50/50">
+              {columns.map((column) => (
+                <TableHead
+                  key={column}
+                  className="h-10 px-3 text-sm font-medium text-zinc-600"
+                >
+                  {formatColumnTitle(column)}
+                </TableHead>
+              ))}
+              {showDeleteColumn && <TableHead className="w-[50px]" />}
+            </TableRow>
+          </TableHeader>
+          <TableBody>
+            {rows.map((row, rowIndex) => (
+              <TableRow key={rowIndex} className="border-none">
+                {columns.map((column) => (
+                  <TableCell key={`${rowIndex}-${column}`} className="p-2">
+                    {readOnly ? (
+                      <Text
+                        variant="body"
+                        className="px-3 py-2 text-sm text-zinc-800"
+                      >
+                        {row[column] || "-"}
+                      </Text>
+                    ) : (
+                      <Input
+                        id={`table-${rowIndex}-${column}`}
+                        label={formatColumnTitle(column)}
+                        hideLabel
+                        value={row[column] ?? ""}
+                        onChange={(e) =>
+                          handleCellChange(rowIndex, column, e.target.value)
+                        }
+                        placeholder={formatPlaceholder(column)}
+                        size="small"
+                        wrapperClassName="mb-0"
+                      />
+                    )}
+                  </TableCell>
+                ))}
+                {showDeleteColumn && (
+                  <TableCell className="p-2">
+                    <Button
+                      variant="icon"
+                      size="icon"
+                      onClick={() => handleDeleteRow(rowIndex)}
+                      aria-label="Delete row"
+                      className="text-zinc-400 transition-colors hover:text-red-500"
+                    >
+                      <Trash2 className="h-4 w-4" />
+                    </Button>
+                  </TableCell>
+                )}
+              </TableRow>
+            ))}
+            {showAddButton && (
+              <TableRow>
+                <TableCell
+                  colSpan={columns.length + (showDeleteColumn ? 1 : 0)}
+                  className="p-2"
+                >
+                  <Button
+                    variant="outline"
+                    size="small"
+                    onClick={handleAddRow}
+                    leftIcon={<Plus className="h-4 w-4" />}
+                    className="w-fit"
+                  >
+                    {addRowLabel}
+                  </Button>
+                </TableCell>
+              </TableRow>
+            )}
+          </TableBody>
+        </BaseTable>
+      </div>
+    </div>
+  );
+}
+
+export { type RowData } from "./useTable";

autogpt_platform/frontend/src/components/molecules/Table/helpers.ts

@@ -0,0 +1,7 @@
+export const formatColumnTitle = (key: string): string => {
+  return key.charAt(0).toUpperCase() + key.slice(1);
+};
+
+export const formatPlaceholder = (key: string): string => {
+  return `Enter ${key.toLowerCase()}`;
+};

autogpt_platform/frontend/src/components/molecules/Table/useTable.ts

@@ -0,0 +1,81 @@
+import { useState, useEffect } from "react";
+
+export type RowData = Record<string, string>;
+
+interface UseTableOptions {
+  columns: string[];
+  defaultValues?: RowData[];
+  onChange?: (rows: RowData[]) => void;
+}
+
+export function useTable({
+  columns,
+  defaultValues,
+  onChange,
+}: UseTableOptions) {
+  const createEmptyRow = (): RowData => {
+    const emptyRow: RowData = {};
+    columns.forEach((column) => {
+      emptyRow[column] = "";
+    });
+    return emptyRow;
+  };
+
+  const [rows, setRows] = useState<RowData[]>(() => {
+    if (defaultValues && defaultValues.length > 0) {
+      return defaultValues;
+    }
+    return [];
+  });
+
+  useEffect(() => {
+    if (defaultValues !== undefined) {
+      setRows(defaultValues);
+    }
+  }, [defaultValues]);
+
+  const updateRows = (newRows: RowData[]) => {
+    setRows(newRows);
+    onChange?.(newRows);
+  };
+
+  const handleAddRow = () => {
+    const newRows = [...rows, createEmptyRow()];
+    updateRows(newRows);
+  };
+
+  const handleDeleteRow = (rowIndex: number) => {
+    const newRows = rows.filter((_, index) => index !== rowIndex);
+    updateRows(newRows);
+  };
+
+  const handleCellChange = (
+    rowIndex: number,
+    columnKey: string,
+    value: string,
+  ) => {
+    const newRows = rows.map((row, index) => {
+      if (index === rowIndex) {
+        return {
+          ...row,
+          [columnKey]: value,
+        };
+      }
+      return row;
+    });
+    updateRows(newRows);
+  };
+
+  const clearAll = () => {
+    updateRows([]);
+  };
+
+  return {
+    rows,
+    handleAddRow,
+    handleDeleteRow,
+    handleCellChange,
+    clearAll,
+    createEmptyRow,
+  };
+}

autogpt_platform/frontend/src/components/renderers/InputRenderer/FormRenderer.tsx

@@ -30,6 +30,8 @@ export const FormRenderer = ({
     return generateUiSchemaForCustomFields(preprocessedSchema, uiSchema);
   }, [preprocessedSchema, uiSchema]);
 
+  console.log("preprocessedSchema", preprocessedSchema);
+
   return (
     <div className={"mb-6 mt-4"}>
       <Form

autogpt_platform/frontend/src/components/renderers/InputRenderer/base/anyof/AnyOfField.tsx

@@ -5,19 +5,14 @@ import { useAnyOfField } from "./useAnyOfField";
 import { getHandleId, updateUiOption } from "../../helpers";
 import { useEdgeStore } from "@/app/(platform)/build/stores/edgeStore";
 import { ANY_OF_FLAG } from "../../constants";
+import { findCustomFieldId } from "../../registry";
 
 export const AnyOfField = (props: FieldProps) => {
   const { registry, schema } = props;
   const { fields } = registry;
   const { SchemaField: _SchemaField } = fields;
   const { nodeId } = registry.formContext;
-
   const { isInputConnected } = useEdgeStore();
-
-  const uiOptions = getUiOptions(props.uiSchema, props.globalUiOptions);
-
-  const Widget = getWidget({ type: "string" }, "select", registry.widgets);
-
   const {
     handleOptionChange,
     enumOptions,
@@ -26,6 +21,15 @@ export const AnyOfField = (props: FieldProps) => {
     field_id,
   } = useAnyOfField(props);
 
+  const parentCustomFieldId = findCustomFieldId(schema);
+  if (parentCustomFieldId) {
+    return null;
+  }
+
+  const uiOptions = getUiOptions(props.uiSchema, props.globalUiOptions);
+
+  const Widget = getWidget({ type: "string" }, "select", registry.widgets);
+
   const handleId = getHandleId({
     uiOptions,
     id: field_id + ANY_OF_FLAG,
@@ -40,12 +44,21 @@ export const AnyOfField = (props: FieldProps) => {
 
   const isHandleConnected = isInputConnected(nodeId, handleId);
 
+  // Now anyOf can render - custom fields if the option schema matches a custom field
+  const optionCustomFieldId = optionSchema
+    ? findCustomFieldId(optionSchema)
+    : null;
+
+  const optionUiSchema = optionCustomFieldId
+    ? { ...updatedUiSchema, "ui:field": optionCustomFieldId }
+    : updatedUiSchema;
+
   const optionsSchemaField =
     (optionSchema && optionSchema.type !== "null" && (
       <_SchemaField
         {...props}
         schema={optionSchema}
-        uiSchema={updatedUiSchema}
+        uiSchema={optionUiSchema}
       />
     )) ||
     null;

autogpt_platform/frontend/src/components/renderers/InputRenderer/base/standard/widgets/TextInput/TextInputExpanderModal.tsx

@@ -17,6 +17,7 @@ interface InputExpanderModalProps {
   defaultValue: string;
   description?: string;
   placeholder?: string;
+  inputType?: "text" | "json";
 }
 
 export const InputExpanderModal: FC<InputExpanderModalProps> = ({
@@ -27,6 +28,7 @@ export const InputExpanderModal: FC<InputExpanderModalProps> = ({
   defaultValue,
   description,
   placeholder,
+  inputType = "text",
 }) => {
   const [tempValue, setTempValue] = useState(defaultValue);
   const [isCopied, setIsCopied] = useState(false);
@@ -78,7 +80,10 @@ export const InputExpanderModal: FC<InputExpanderModalProps> = ({
             hideLabel
             id="input-expander-modal"
             value={tempValue}
-            className="!min-h-[300px] rounded-2xlarge"
+            className={cn(
+              "!min-h-[300px] rounded-2xlarge",
+              inputType === "json" && "font-mono text-sm",
+            )}
             onChange={(e) => setTempValue(e.target.value)}
             placeholder={placeholder || "Enter text..."}
             autoFocus

autogpt_platform/frontend/src/components/renderers/InputRenderer/custom/CredentialField/CredentialField.tsx

@@ -88,6 +88,8 @@ export const CredentialsField = (props: FieldProps) => {
         showTitle={false}
         readOnly={formContext?.readOnly}
         isOptional={!isRequired}
+        className="w-full"
+        variant="node"
       />
 
       {/* Optional credentials toggle - only show in builder canvas, not run dialogs */}

autogpt_platform/frontend/src/components/renderers/InputRenderer/custom/JsonTextField/JsonTextField.tsx

@@ -0,0 +1,124 @@
+"use client";
+
+import { FieldProps, getTemplate, getUiOptions } from "@rjsf/utils";
+import { Input } from "@/components/atoms/Input/Input";
+import { Button } from "@/components/atoms/Button/Button";
+import {
+  Tooltip,
+  TooltipContent,
+  TooltipTrigger,
+} from "@/components/atoms/Tooltip/BaseTooltip";
+import { ArrowsOutIcon } from "@phosphor-icons/react";
+import { InputExpanderModal } from "../../base/standard/widgets/TextInput/TextInputExpanderModal";
+import { getHandleId, updateUiOption } from "../../helpers";
+import { useJsonTextField } from "./useJsonTextField";
+import { getPlaceholder } from "./helpers";
+
+export const JsonTextField = (props: FieldProps) => {
+  const {
+    formData,
+    onChange,
+    schema,
+    registry,
+    uiSchema,
+    required,
+    name,
+    fieldPathId,
+  } = props;
+
+  const uiOptions = getUiOptions(uiSchema);
+
+  const TitleFieldTemplate = getTemplate(
+    "TitleFieldTemplate",
+    registry,
+    uiOptions,
+  );
+
+  const fieldId = fieldPathId?.$id ?? props.id ?? "json-field";
+
+  const handleId = getHandleId({
+    uiOptions,
+    id: fieldId,
+    schema: schema,
+  });
+
+  const updatedUiSchema = updateUiOption(uiSchema, {
+    handleId: handleId,
+  });
+
+  const {
+    textValue,
+    isModalOpen,
+    handleChange,
+    handleModalOpen,
+    handleModalClose,
+    handleModalSave,
+  } = useJsonTextField({
+    formData,
+    onChange,
+    path: fieldPathId?.path,
+  });
+
+  const placeholder = getPlaceholder(schema);
+  const title = schema.title || name || "JSON Value";
+
+  return (
+    <div className="flex flex-col gap-2">
+      <TitleFieldTemplate
+        id={fieldId}
+        title={title}
+        required={required}
+        schema={schema}
+        uiSchema={updatedUiSchema}
+        registry={registry}
+      />
+      <div className="nodrag relative flex items-center gap-2">
+        <Input
+          id={fieldId}
+          hideLabel={true}
+          type="textarea"
+          label=""
+          size="small"
+          wrapperClassName="mb-0 flex-1 "
+          value={textValue}
+          onChange={handleChange}
+          placeholder={placeholder}
+          required={required}
+          disabled={props.disabled}
+          className="min-h-[60px] pr-8 font-mono text-xs"
+        />
+
+        <Tooltip delayDuration={0}>
+          <TooltipTrigger asChild>
+            <Button
+              variant="ghost"
+              size="icon"
+              onClick={handleModalOpen}
+              type="button"
+              className="p-1"
+            >
+              <ArrowsOutIcon className="size-4" />
+            </Button>
+          </TooltipTrigger>
+          <TooltipContent>Expand input</TooltipContent>
+        </Tooltip>
+      </div>
+      {schema.description && (
+        <span className="text-xs text-gray-500">{schema.description}</span>
+      )}
+
+      <InputExpanderModal
+        isOpen={isModalOpen}
+        onClose={handleModalClose}
+        onSave={handleModalSave}
+        title={`Edit ${title}`}
+        description={schema.description || "Enter valid JSON"}
+        defaultValue={textValue}
+        placeholder={placeholder}
+        inputType="json"
+      />
+    </div>
+  );
+};
+
+export default JsonTextField;

autogpt_platform/frontend/src/components/renderers/InputRenderer/custom/JsonTextField/helpers.ts

@@ -0,0 +1,67 @@
+import { RJSFSchema } from "@rjsf/utils";
+
+/**
+ * Converts form data to a JSON string for display
+ * @param formData - The data to stringify
+ * @returns JSON string or empty string if data is null/undefined
+ */
+export function stringifyFormData(formData: unknown): string {
+  if (formData === undefined || formData === null) {
+    return "";
+  }
+  try {
+    return JSON.stringify(formData, null, 2);
+  } catch {
+    return "";
+  }
+}
+
+/**
+ * Parses a JSON string into an object/array
+ * @param value - The JSON string to parse
+ * @returns Parsed value or undefined if parsing fails or empty
+ */
+export function parseJsonValue(value: string): unknown | undefined {
+  const trimmed = value.trim();
+  if (trimmed === "") {
+    return undefined;
+  }
+
+  try {
+    return JSON.parse(trimmed);
+  } catch {
+    return undefined;
+  }
+}
+
+/**
+ * Gets the appropriate placeholder text based on schema type
+ * @param schema - The JSON schema
+ * @returns Placeholder string
+ */
+export function getPlaceholder(schema: RJSFSchema): string {
+  if (schema.type === "array") {
+    return '["item1", "item2"] or [{"key": "value"}]';
+  }
+  if (schema.type === "object") {
+    return '{"key": "value"}';
+  }
+  return "Enter JSON value...";
+}
+
+/**
+ * Checks if a JSON string is valid
+ * @param value - The JSON string to validate
+ * @returns true if valid JSON, false otherwise
+ */
+export function isValidJson(value: string): boolean {
+  if (value.trim() === "") {
+    return true; // Empty is considered valid (will be undefined)
+  }
+  try {
+    JSON.parse(value);
+    return true;
+  } catch {
+    return false;
+  }
+}

autogpt_platform/frontend/src/components/renderers/InputRenderer/custom/JsonTextField/useJsonTextField.ts

@@ -0,0 +1,107 @@
+import { useState, useEffect, useCallback } from "react";
+import { FieldProps } from "@rjsf/utils";
+import { stringifyFormData, parseJsonValue, isValidJson } from "./helpers";
+
+type FieldOnChange = FieldProps["onChange"];
+type FieldPathId = FieldProps["fieldPathId"];
+
+interface UseJsonTextFieldOptions {
+  formData: unknown;
+  onChange: FieldOnChange;
+  path?: FieldPathId["path"];
+}
+
+interface UseJsonTextFieldReturn {
+  textValue: string;
+  isModalOpen: boolean;
+  hasError: boolean;
+  handleChange: (
+    e: React.ChangeEvent<HTMLInputElement | HTMLTextAreaElement>,
+  ) => void;
+  handleModalOpen: () => void;
+  handleModalClose: () => void;
+  handleModalSave: (value: string) => void;
+}
+
+/**
+ * Custom hook for managing JSON text field state and handlers
+ */
+export function useJsonTextField({
+  formData,
+  onChange,
+  path,
+}: UseJsonTextFieldOptions): UseJsonTextFieldReturn {
+  const [textValue, setTextValue] = useState(() => stringifyFormData(formData));
+  const [isModalOpen, setIsModalOpen] = useState(false);
+  const [hasError, setHasError] = useState(false);
+
+  // Update text value when formData changes externally
+  useEffect(() => {
+    const newValue = stringifyFormData(formData);
+    setTextValue(newValue);
+    setHasError(false);
+  }, [formData]);
+
+  const handleChange = useCallback(
+    (e: React.ChangeEvent<HTMLInputElement | HTMLTextAreaElement>) => {
+      const value = e.target.value;
+      setTextValue(value);
+
+      // Validate JSON and update error state
+      const valid = isValidJson(value);
+      setHasError(!valid);
+
+      // Try to parse and update formData
+      if (value.trim() === "") {
+        onChange(undefined, path ?? []);
+        return;
+      }
+
+      const parsed = parseJsonValue(value);
+      if (parsed !== undefined) {
+        onChange(parsed, path ?? []);
+      }
+    },
+    [onChange, path],
+  );
+
+  const handleModalOpen = useCallback(() => {
+    setIsModalOpen(true);
+  }, []);
+
+  const handleModalClose = useCallback(() => {
+    setIsModalOpen(false);
+  }, []);
+
+  const handleModalSave = useCallback(
+    (value: string) => {
+      setTextValue(value);
+      setIsModalOpen(false);
+
+      // Validate and update
+      const valid = isValidJson(value);
+      setHasError(!valid);
+
+      if (value.trim() === "") {
+        onChange(undefined, path ?? []);
+        return;
+      }
+
+      const parsed = parseJsonValue(value);
+      if (parsed !== undefined) {
+        onChange(parsed, path ?? []);
+      }
+    },
+    [onChange, path],
+  );
+
+  return {
+    textValue,
+    isModalOpen,
+    hasError,
+    handleChange,
+    handleModalOpen,
+    handleModalClose,
+    handleModalSave,
+  };
+}

autogpt_platform/frontend/src/components/renderers/InputRenderer/custom/MultiSelectField/MultiSelectField.tsx

@@ -0,0 +1,57 @@
+import React from "react";
+import { FieldProps, getUiOptions } from "@rjsf/utils";
+import { BlockIOObjectSubSchema } from "@/lib/autogpt-server-api/types";
+import {
+  MultiSelector,
+  MultiSelectorContent,
+  MultiSelectorInput,
+  MultiSelectorItem,
+  MultiSelectorList,
+  MultiSelectorTrigger,
+} from "@/components/__legacy__/ui/multiselect";
+import { cn } from "@/lib/utils";
+import { useMultiSelectField } from "./useMultiSelectField";
+
+export const MultiSelectField = (props: FieldProps) => {
+  const { schema, formData, onChange, fieldPathId } = props;
+  const uiOptions = getUiOptions(props.uiSchema);
+
+  const { optionSchema, options, selection, createChangeHandler } =
+    useMultiSelectField({
+      schema: schema as BlockIOObjectSubSchema,
+      formData,
+    });
+
+  const handleValuesChange = createChangeHandler(onChange, fieldPathId);
+
+  const displayName = schema.title || "options";
+
+  return (
+    <div className={cn("flex flex-col", uiOptions.className)}>
+      <MultiSelector
+        className="nodrag"
+        values={selection}
+        onValuesChange={handleValuesChange}
+      >
+        <MultiSelectorTrigger className="rounded-3xl border border-zinc-200 bg-white px-2 shadow-none">
+          <MultiSelectorInput
+            placeholder={
+              (schema as any).placeholder ?? `Select ${displayName}...`
+            }
+          />
+        </MultiSelectorTrigger>
+        <MultiSelectorContent className="nowheel">
+          <MultiSelectorList>
+            {options
+              .map((key) => ({ ...optionSchema[key], key }))
+              .map(({ key, title, description }) => (
+                <MultiSelectorItem key={key} value={key} title={description}>
+                  {title ?? key}
+                </MultiSelectorItem>
+              ))}
+          </MultiSelectorList>
+        </MultiSelectorContent>
+      </MultiSelector>
+    </div>
+  );
+};

autogpt_platform/frontend/src/components/renderers/InputRenderer/custom/MultiSelectField/index.ts

@@ -0,0 +1 @@
+export { MultiSelectField } from "./MultiSelectField";

autogpt_platform/frontend/src/components/renderers/InputRenderer/custom/MultiSelectField/useMultiSelectField.ts

@@ -0,0 +1,65 @@
+import { FieldProps } from "@rjsf/utils";
+import { BlockIOObjectSubSchema } from "@/lib/autogpt-server-api/types";
+
+type FormData = Record<string, boolean> | null | undefined;
+
+interface UseMultiSelectFieldOptions {
+  schema: BlockIOObjectSubSchema;
+  formData: FormData;
+}
+
+export function useMultiSelectField({
+  schema,
+  formData,
+}: UseMultiSelectFieldOptions) {
+  const getOptionSchema = (): Record<string, BlockIOObjectSubSchema> => {
+    if (schema.properties) {
+      return schema.properties as Record<string, BlockIOObjectSubSchema>;
+    }
+    if (
+      "anyOf" in schema &&
+      Array.isArray(schema.anyOf) &&
+      schema.anyOf.length > 0 &&
+      "properties" in schema.anyOf[0]
+    ) {
+      return (schema.anyOf[0] as BlockIOObjectSubSchema).properties as Record<
+        string,
+        BlockIOObjectSubSchema
+      >;
+    }
+    return {};
+  };
+
+  const optionSchema = getOptionSchema();
+  const options = Object.keys(optionSchema);
+
+  const getSelection = (): string[] => {
+    if (!formData || typeof formData !== "object") {
+      return [];
+    }
+    return Object.entries(formData)
+      .filter(([_, value]) => value === true)
+      .map(([key]) => key);
+  };
+
+  const selection = getSelection();
+
+  const createChangeHandler =
+    (
+      onChange: FieldProps["onChange"],
+      fieldPathId: FieldProps["fieldPathId"],
+    ) =>
+    (values: string[]) => {
+      const newValue = Object.fromEntries(
+        options.map((opt) => [opt, values.includes(opt)]),
+      );
+      onChange(newValue, fieldPathId?.path);
+    };
+
+  return {
+    optionSchema,
+    options,
+    selection,
+    createChangeHandler,
+  };
+}

autogpt_platform/frontend/src/components/renderers/InputRenderer/custom/TableField/TableField.tsx

@@ -0,0 +1,52 @@
+import { descriptionId, FieldProps, getTemplate, titleId } from "@rjsf/utils";
+import { Table, RowData } from "@/components/molecules/Table/Table";
+import { useMemo } from "react";
+
+export const TableField = (props: FieldProps) => {
+  const { schema, formData, onChange, fieldPathId, registry, uiSchema } = props;
+
+  const itemSchema = schema.items as any;
+  const properties = itemSchema?.properties || {};
+
+  const columns: string[] = useMemo(() => {
+    return Object.keys(properties);
+  }, [properties]);
+
+  const handleChange = (rows: RowData[]) => {
+    onChange(rows, fieldPathId?.path.slice(0, -1));
+  };
+
+  const TitleFieldTemplate = getTemplate("TitleFieldTemplate", registry);
+  const DescriptionFieldTemplate = getTemplate(
+    "DescriptionFieldTemplate",
+    registry,
+  );
+
+  return (
+    <div className="flex flex-col gap-2">
+      <TitleFieldTemplate
+        id={titleId(fieldPathId)}
+        title={schema.title || ""}
+        required={true}
+        schema={schema}
+        uiSchema={uiSchema}
+        registry={registry}
+      />
+      <DescriptionFieldTemplate
+        id={descriptionId(fieldPathId)}
+        description={schema.description || ""}
+        schema={schema}
+        registry={registry}
+      />
+
+      <Table
+        columns={columns}
+        defaultValues={formData}
+        onChange={handleChange}
+        allowAddRow={true}
+        allowDeleteRow={true}
+        addRowLabel="Add row"
+      />
+    </div>
+  );
+};

autogpt_platform/frontend/src/components/renderers/InputRenderer/custom/custom-registry.ts

@@ -1,6 +1,10 @@
 import { FieldProps, RJSFSchema, RegistryFieldsType } from "@rjsf/utils";
 import { CredentialsField } from "./CredentialField/CredentialField";
 import { GoogleDrivePickerField } from "./GoogleDrivePickerField/GoogleDrivePickerField";
+import { JsonTextField } from "./JsonTextField/JsonTextField";
+import { MultiSelectField } from "./MultiSelectField/MultiSelectField";
+import { isMultiSelectSchema } from "../utils/schema-utils";
+import { TableField } from "./TableField/TableField";
 
 export interface CustomFieldDefinition {
   id: string;
@@ -8,6 +12,9 @@ export interface CustomFieldDefinition {
   component: (props: FieldProps<any, RJSFSchema, any>) => JSX.Element | null;
 }
 
+/** Field ID for JsonTextField - used to render nested complex types as text input */
+export const JSON_TEXT_FIELD_ID = "custom/json_text_field";
+
 export const CUSTOM_FIELDS: CustomFieldDefinition[] = [
   {
     id: "custom/credential_field",
@@ -30,6 +37,28 @@ export const CUSTOM_FIELDS: CustomFieldDefinition[] = [
     },
     component: GoogleDrivePickerField,
   },
+  {
+    id: "custom/json_text_field",
+    // Not matched by schema - assigned via uiSchema for nested complex types
+    matcher: () => false,
+    component: JsonTextField,
+  },
+  {
+    id: "custom/multi_select_field",
+    matcher: isMultiSelectSchema,
+    component: MultiSelectField,
+  },
+  {
+    id: "custom/table_field",
+    matcher: (schema: any) => {
+      return (
+        schema.type === "array" &&
+        "format" in schema &&
+        schema.format === "table"
+      );
+    },
+    component: TableField,
+  },
 ];
 
 export function findCustomFieldId(schema: any): string | null {

autogpt_platform/frontend/src/components/renderers/InputRenderer/utils/generate-ui-schema.ts

@@ -1,19 +1,46 @@
 import { RJSFSchema, UiSchema } from "@rjsf/utils";
-import { findCustomFieldId } from "../custom/custom-registry";
+import {
+  findCustomFieldId,
+  JSON_TEXT_FIELD_ID,
+} from "../custom/custom-registry";
+
+function isComplexType(schema: RJSFSchema): boolean {
+  return schema.type === "object" || schema.type === "array";
+}
+
+function hasComplexAnyOfOptions(schema: RJSFSchema): boolean {
+  const options = schema.anyOf || schema.oneOf;
+  if (!Array.isArray(options)) return false;
+  return options.some(
+    (opt: any) =>
+      opt &&
+      typeof opt === "object" &&
+      (opt.type === "object" || opt.type === "array"),
+  );
+}
 
 /**
  * Generates uiSchema with ui:field settings for custom fields based on schema matchers.
  * This is the standard RJSF way to route fields to custom components.
+ *
+ * Nested complex types (arrays/objects inside arrays/objects) are rendered as JsonTextField
+ * to avoid deeply nested form UIs. Users can enter raw JSON for these fields.
+ *
+ * @param schema - The JSON schema
+ * @param existingUiSchema - Existing uiSchema to merge with
+ * @param insideComplexType - Whether we're already inside a complex type (object/array)
  */
 export function generateUiSchemaForCustomFields(
   schema: RJSFSchema,
   existingUiSchema: UiSchema = {},
+  insideComplexType: boolean = false,
 ): UiSchema {
   const uiSchema: UiSchema = { ...existingUiSchema };
 
   if (schema.properties) {
     for (const [key, propSchema] of Object.entries(schema.properties)) {
       if (propSchema && typeof propSchema === "object") {
+        // First check for custom field matchers (credentials, google drive, etc.)
         const customFieldId = findCustomFieldId(propSchema);
 
         if (customFieldId) {
@@ -21,8 +48,33 @@ export function generateUiSchemaForCustomFields(
             ...(uiSchema[key] as object),
             "ui:field": customFieldId,
           };
+          // Skip further processing for custom fields
+          continue;
         }
 
+        // Handle nested complex types - render as JsonTextField
+        if (insideComplexType && isComplexType(propSchema as RJSFSchema)) {
+          uiSchema[key] = {
+            ...(uiSchema[key] as object),
+            "ui:field": JSON_TEXT_FIELD_ID,
+          };
+          // Don't recurse further - this field is now a text input
+          continue;
+        }
+
+        // Handle anyOf/oneOf inside complex types
+        if (
+          insideComplexType &&
+          hasComplexAnyOfOptions(propSchema as RJSFSchema)
+        ) {
+          uiSchema[key] = {
+            ...(uiSchema[key] as object),
+            "ui:field": JSON_TEXT_FIELD_ID,
+          };
+          continue;
+        }
+
+        // Recurse into object properties
         if (
           propSchema.type === "object" &&
           propSchema.properties &&
@@ -31,6 +83,7 @@ export function generateUiSchemaForCustomFields(
           const nestedUiSchema = generateUiSchemaForCustomFields(
             propSchema as RJSFSchema,
             (uiSchema[key] as UiSchema) || {},
+            true, // Now inside a complex type
           );
           uiSchema[key] = {
             ...(uiSchema[key] as object),
@@ -38,9 +91,11 @@ export function generateUiSchemaForCustomFields(
           };
         }
 
+        // Handle arrays
         if (propSchema.type === "array" && propSchema.items) {
           const itemsSchema = propSchema.items as RJSFSchema;
           if (itemsSchema && typeof itemsSchema === "object") {
+            // Check for custom field on array items
             const itemsCustomFieldId = findCustomFieldId(itemsSchema);
             if (itemsCustomFieldId) {
               uiSchema[key] = {
@@ -49,10 +104,28 @@ export function generateUiSchemaForCustomFields(
                   "ui:field": itemsCustomFieldId,
                 },
               };
+            } else if (isComplexType(itemsSchema)) {
+              // Array items that are complex types become JsonTextField
+              uiSchema[key] = {
+                ...(uiSchema[key] as object),
+                items: {
+                  "ui:field": JSON_TEXT_FIELD_ID,
+                },
+              };
+            } else if (hasComplexAnyOfOptions(itemsSchema)) {
+              // Array items with anyOf containing complex types become JsonTextField
+              uiSchema[key] = {
+                ...(uiSchema[key] as object),
+                items: {
+                  "ui:field": JSON_TEXT_FIELD_ID,
+                },
+              };
             } else if (itemsSchema.properties) {
+              // Recurse into object items (but they're now inside a complex type)
               const itemsUiSchema = generateUiSchemaForCustomFields(
                 itemsSchema,
                 ((uiSchema[key] as UiSchema)?.items as UiSchema) || {},
+                true, // Inside complex type (array)
               );
               if (Object.keys(itemsUiSchema).length > 0) {
                 uiSchema[key] = {
@@ -63,6 +136,61 @@ export function generateUiSchemaForCustomFields(
             }
           }
         }
+
+        // Handle anyOf/oneOf at root level - process complex options
+        if (!insideComplexType) {
+          const anyOfOptions = propSchema.anyOf || propSchema.oneOf;
+
+          if (Array.isArray(anyOfOptions)) {
+            for (let i = 0; i < anyOfOptions.length; i++) {
+              const option = anyOfOptions[i] as RJSFSchema;
+              if (option && typeof option === "object") {
+                // Handle anyOf array options with complex items
+                if (option.type === "array" && option.items) {
+                  const itemsSchema = option.items as RJSFSchema;
+                  if (itemsSchema && typeof itemsSchema === "object") {
+                    // Array items that are complex types become JsonTextField
+                    if (isComplexType(itemsSchema)) {
+                      uiSchema[key] = {
+                        ...(uiSchema[key] as object),
+                        items: {
+                          "ui:field": JSON_TEXT_FIELD_ID,
+                        },
+                      };
+                    } else if (hasComplexAnyOfOptions(itemsSchema)) {
+                      uiSchema[key] = {
+                        ...(uiSchema[key] as object),
+                        items: {
+                          "ui:field": JSON_TEXT_FIELD_ID,
+                        },
+                      };
+                    }
+                  }
+                }
+
+                // Recurse into anyOf object options with properties
+                if (
+                  option.type === "object" &&
+                  option.properties &&
+                  typeof option.properties === "object"
+                ) {
+                  const optionUiSchema = generateUiSchemaForCustomFields(
+                    option,
+                    {},
+                    true, // Inside complex type (anyOf object option)
+                  );
+                  if (Object.keys(optionUiSchema).length > 0) {
+                    // Store under the property key - RJSF will apply it
+                    uiSchema[key] = {
+                      ...(uiSchema[key] as object),
+                      ...optionUiSchema,
+                    };
+                  }
+                }
+              }
+            }
+          }
+        }
       }
     }
   }

autogpt_platform/frontend/src/components/renderers/InputRenderer/utils/schema-utils.ts

@@ -1,7 +1,11 @@
 import { getUiOptions, RJSFSchema, UiSchema } from "@rjsf/utils";
 
 export function isAnyOfSchema(schema: RJSFSchema | undefined): boolean {
-  return Array.isArray(schema?.anyOf) && schema!.anyOf.length > 0;
+  return (
+    Array.isArray(schema?.anyOf) &&
+    schema!.anyOf.length > 0 &&
+    schema?.enum === undefined
+  );
 }
 
 export const isAnyOfChild = (
@@ -33,3 +37,21 @@ export function isOptionalType(schema: RJSFSchema | undefined): {
 export function isAnyOfSelector(name: string) {
   return name.includes("anyof_select");
 }
+
+export function isMultiSelectSchema(schema: RJSFSchema | undefined): boolean {
+  if (typeof schema !== "object" || schema === null) {
+    return false;
+  }
+
+  if ("anyOf" in schema || "oneOf" in schema) {
+    return false;
+  }
+
+  return !!(
+    schema.type === "object" &&
+    schema.properties &&
+    Object.values(schema.properties).every(
+      (prop: any) => prop.type === "boolean",
+    )
+  );
+}