added custom node rendering

rnd/autogpt_builder/src/components/CustomNode.tsx

@@ -14,6 +14,7 @@ import {
   BlockIORootSchema,
   Category,
   NodeExecutionResult,
+  BlockUIType,
 } from "@/lib/autogpt-server-api/types";
 import { beautifyString, cn, setNestedProperty } from "@/lib/utils";
 import { Button } from "@/components/ui/button";
@@ -59,6 +60,7 @@ export type CustomNodeData = {
   backend_id?: string;
   errors?: { [key: string]: string };
   isOutputStatic?: boolean;
+  uiType: BlockUIType;
 };
 
 export type CustomNode = Node<CustomNodeData, "custom">;
@@ -118,8 +120,16 @@ export function CustomNode({ data, id, width, height }: NodeProps<CustomNode>) {
     setIsAdvancedOpen(checked);
   };
 
-  const generateOutputHandles = (schema: BlockIORootSchema) => {
-    if (!schema?.properties) return null;
+  const generateOutputHandles = (
+    schema: BlockIORootSchema,
+    nodeType: BlockUIType,
+  ) => {
+    if (
+      !schema?.properties ||
+      nodeType === BlockUIType.OUTPUT ||
+      nodeType === BlockUIType.NOTE
+    )
+      return null;
     const keys = Object.keys(schema.properties);
     return keys.map((key) => (
       <div key={key}>
@@ -133,6 +143,136 @@ export function CustomNode({ data, id, width, height }: NodeProps<CustomNode>) {
     ));
   };
 
+  const generateInputHandles = (
+    schema: BlockIORootSchema,
+    nodeType: BlockUIType,
+  ) => {
+    if (!schema?.properties) return null;
+    let keys = Object.entries(schema.properties);
+    switch (nodeType) {
+      case BlockUIType.INPUT:
+        // For INPUT blocks, only show the 'value' property
+        return keys.map(([propKey, propSchema]) => {
+          const isRequired = data.inputSchema.required?.includes(propKey);
+          const isConnected = isHandleConnected(propKey);
+          const isAdvanced = propSchema.advanced;
+          return (
+            <div key={propKey}>
+              <span className="text-m green -mb-1 text-gray-900">
+                {propSchema.title || beautifyString(propKey)}
+              </span>
+              <div key={propKey} onMouseOver={() => {}}>
+                {!isConnected && (
+                  <NodeGenericInputField
+                    className="mb-2 mt-1"
+                    propKey={propKey}
+                    propSchema={propSchema}
+                    currentValue={getValue(propKey)}
+                    connections={data.connections}
+                    handleInputChange={handleInputChange}
+                    handleInputClick={handleInputClick}
+                    errors={data.errors ?? {}}
+                    displayName={propSchema.title || beautifyString(propKey)}
+                  />
+                )}
+              </div>
+            </div>
+          );
+        });
+
+      case BlockUIType.NOTE:
+        // For NOTE blocks, don't render any input handles
+        return keys.map(([propKey, propSchema]) => {
+          const isConnected = isHandleConnected(propKey);
+          return (
+            <div key={propKey}>
+              <NodeGenericInputField
+                className="mb-2 mt-1"
+                propKey={propKey}
+                propSchema={propSchema}
+                currentValue={getValue(propKey)}
+                connections={data.connections}
+                handleInputChange={handleInputChange}
+                handleInputClick={handleInputClick}
+                errors={data.errors ?? {}}
+                displayName={propSchema.title || beautifyString(propKey)}
+              />
+            </div>
+          );
+        });
+
+      case BlockUIType.OUTPUT:
+        // For OUTPUT blocks, only show the 'recorded_value' property
+        return keys.map(([propKey, propSchema]) => {
+          const isRequired = data.inputSchema.required?.includes(propKey);
+          const isConnected = isHandleConnected(propKey);
+          const isAdvanced = propSchema.advanced;
+          return (
+            <div key={propKey} onMouseOver={() => {}}>
+              {propKey !== "value" ? (
+                <span className="text-m green -mb-1 text-gray-900">
+                  {propSchema.title || beautifyString(propKey)}
+                </span>
+              ) : (
+                <NodeHandle
+                  keyName={propKey}
+                  isConnected={isConnected}
+                  isRequired={isRequired}
+                  schema={propSchema}
+                  side="left"
+                />
+              )}
+              {!isConnected && (
+                <NodeGenericInputField
+                  className="mb-2 mt-1"
+                  propKey={propKey}
+                  propSchema={propSchema}
+                  currentValue={getValue(propKey)}
+                  connections={data.connections}
+                  handleInputChange={handleInputChange}
+                  handleInputClick={handleInputClick}
+                  errors={data.errors ?? {}}
+                  displayName={propSchema.title || beautifyString(propKey)}
+                />
+              )}
+            </div>
+          );
+        });
+
+      default:
+        return keys.map(([propKey, propSchema]) => {
+          const isRequired = data.inputSchema.required?.includes(propKey);
+          const isConnected = isHandleConnected(propKey);
+          const isAdvanced = propSchema.advanced;
+          return (
+            (isRequired || isAdvancedOpen || isConnected || !isAdvanced) && (
+              <div key={propKey} onMouseOver={() => {}}>
+                <NodeHandle
+                  keyName={propKey}
+                  isConnected={isConnected}
+                  isRequired={isRequired}
+                  schema={propSchema}
+                  side="left"
+                />
+                {!isConnected && (
+                  <NodeGenericInputField
+                    className="mb-2 mt-1"
+                    propKey={propKey}
+                    propSchema={propSchema}
+                    currentValue={getValue(propKey)}
+                    connections={data.connections}
+                    handleInputChange={handleInputChange}
+                    handleInputClick={handleInputClick}
+                    errors={data.errors ?? {}}
+                    displayName={propSchema.title || beautifyString(propKey)}
+                  />
+                )}
+              </div>
+            )
+          );
+        });
+    }
+  };
   const handleInputChange = (path: string, value: any) => {
     const keys = parseKeys(path);
     const newValues = JSON.parse(JSON.stringify(data.hardcodedValues));
@@ -420,47 +560,11 @@ export function CustomNode({ data, id, width, height }: NodeProps<CustomNode>) {
       <div className="flex items-start justify-between gap-2 p-3">
         <div>
           {data.inputSchema &&
-            Object.entries(data.inputSchema.properties).map(
-              ([propKey, propSchema]) => {
-                const isRequired = data.inputSchema.required?.includes(propKey);
-                const isConnected = isHandleConnected(propKey);
-                const isAdvanced = propSchema.advanced;
-                return (
-                  (isRequired ||
-                    isAdvancedOpen ||
-                    isConnected ||
-                    !isAdvanced) && (
-                    <div key={propKey} onMouseOver={() => {}}>
-                      <NodeHandle
-                        keyName={propKey}
-                        isConnected={isConnected}
-                        isRequired={isRequired}
-                        schema={propSchema}
-                        side="left"
-                      />
-                      {!isConnected && (
-                        <NodeGenericInputField
-                          className="mb-2 mt-1"
-                          propKey={propKey}
-                          propSchema={propSchema}
-                          currentValue={getValue(propKey)}
-                          connections={data.connections}
-                          handleInputChange={handleInputChange}
-                          handleInputClick={handleInputClick}
-                          errors={data.errors ?? {}}
-                          displayName={
-                            propSchema.title || beautifyString(propKey)
-                          }
-                        />
-                      )}
-                    </div>
-                  )
-                );
-              },
-            )}
+            generateInputHandles(data.inputSchema, data.uiType)}
         </div>
         <div className="flex-none">
-          {data.outputSchema && generateOutputHandles(data.outputSchema)}
+          {data.outputSchema &&
+            generateOutputHandles(data.outputSchema, data.uiType)}
         </div>
       </div>
       {isOutputOpen && (
@@ -486,25 +590,27 @@ export function CustomNode({ data, id, width, height }: NodeProps<CustomNode>) {
           )}
         </div>
       )}
-      <div className="mt-2.5 flex items-center pb-4 pl-4">
-        <Switch checked={isOutputOpen} onCheckedChange={toggleOutput} />
-        <span className="m-1 mr-4">Output</span>
-        {hasAdvancedFields && (
-          <>
-            <Switch onCheckedChange={toggleAdvancedSettings} />
-            <span className="m-1">Advanced</span>
-          </>
-        )}
-        {data.status && (
-          <Badge
-            variant="outline"
-            data-id={`badge-${id}-${data.status}`}
-            className={cn(data.status.toLowerCase(), "ml-auto mr-5")}
-          >
-            {data.status}
-          </Badge>
-        )}
-      </div>
+      {data.uiType !== BlockUIType.NOTE && (
+        <div className="mt-2.5 flex items-center pb-4 pl-4">
+          <Switch checked={isOutputOpen} onCheckedChange={toggleOutput} />
+          <span className="m-1 mr-4">Output</span>
+          {hasAdvancedFields && data.uiType === BlockUIType.STANDARD && (
+            <>
+              <Switch onCheckedChange={toggleAdvancedSettings} />
+              <span className="m-1">Advanced</span>
+            </>
+          )}
+          {data.status && (
+            <Badge
+              variant="outline"
+              data-id={`badge-${id}-${data.status}`}
+              className={cn(data.status.toLowerCase(), "ml-auto mr-5")}
+            >
+              {data.status}
+            </Badge>
+          )}
+        </div>
+      )}
       <InputModalComponent
         title={activeKey ? `Enter ${beautifyString(activeKey)}` : undefined}
         isOpen={isModalOpen}

rnd/autogpt_builder/src/components/Flow.tsx

@@ -417,6 +417,7 @@ const FlowEditor: React.FC<{
           isOutputOpen: false,
           block_id: blockId,
           isOutputStatic: nodeSchema.staticOutput,
+          uiType: nodeSchema.uiType,
         },
       };
 

rnd/autogpt_builder/src/lib/autogpt-server-api/types.ts

@@ -13,6 +13,7 @@ export type Block = {
   inputSchema: BlockIORootSchema;
   outputSchema: BlockIORootSchema;
   staticOutput: boolean;
+  uiType: BlockUIType;
 };
 
 export type BlockIORootSchema = {
@@ -182,3 +183,10 @@ export type User = {
   id: string;
   email: string;
 };
+
+export enum BlockUIType {
+  STANDARD = "Standard",
+  INPUT = "Input",
+  OUTPUT = "Output",
+  NOTE = "Note",
+}

rnd/autogpt_server/autogpt_server/blocks/basic.py

@@ -1,5 +1,8 @@
-from typing import Any, List
+from abc import ABC, abstractmethod
+import re
+from typing import Any, Generic, List, TypeVar
 
+from jinja2 import BaseLoader, Environment
 from pydantic import Field
 
 from autogpt_server.data.block import (
@@ -12,6 +15,8 @@ from autogpt_server.data.block import (
 from autogpt_server.data.model import SchemaField
 from autogpt_server.util.mock import MockObject
 
+jinja = Environment(loader=BaseLoader())
+
 
 class StoreValueBlock(Block):
     """
@@ -136,7 +141,7 @@ class FindInDictionaryBlock(Block):
             yield "missing", input_data.input
 
 
-class InputBlock(Block):
+class AgentInputBlock(Block):
     """
     This block is used to provide input to the graph.
 
@@ -164,8 +169,8 @@ class InputBlock(Block):
         super().__init__(
             id="c0a8e994-ebf1-4a9c-a4d8-89d09c86741b",
             description="This block is used to provide input to the graph.",
-            input_schema=InputBlock.Input,
-            output_schema=InputBlock.Output,
+            input_schema=AgentInputBlock.Input,
+            output_schema=AgentInputBlock.Output,
             test_input=[
                 {
                     "value": "Hello, World!",
@@ -194,7 +199,7 @@ class InputBlock(Block):
         yield "result", input_data.value
 
 
-class OutputBlock(Block):
+class AgentOutputBlock(Block):
     """
     Records the output of the graph for users to see.
 
@@ -215,12 +220,10 @@ class OutputBlock(Block):
     """
 
     class Input(BlockSchema):
-        recorded_value: Any = SchemaField(
-            description="The value to be recorded as output."
-        )
+        value: Any = SchemaField(description="The value to be recorded as output.")
         name: str = SchemaField(description="The name of the output.")
         description: str = SchemaField(description="The description of the output.")
-        fmt_string: str = SchemaField(
+        format: str = SchemaField(
             description="The format string to be used to format the recorded_value."
         )
 
@@ -238,30 +241,30 @@ class OutputBlock(Block):
                 "This block is key for capturing and presenting final results or "
                 "important intermediate outputs of the graph execution."
             ),
-            input_schema=OutputBlock.Input,
-            output_schema=OutputBlock.Output,
+            input_schema=AgentOutputBlock.Input,
+            output_schema=AgentOutputBlock.Output,
             test_input=[
                 {
-                    "recorded_value": "Hello, World!",
+                    "value": "Hello, World!",
                     "name": "output_1",
                     "description": "This is a test output.",
-                    "fmt_string": "{value}",
+                    "format": "{value}!!",
                 },
                 {
-                    "recorded_value": 42,
+                    "value": 42,
                     "name": "output_2",
                     "description": "This is another test output.",
-                    "fmt_string": "{value}",
+                    "format": "{value}",
                 },
                 {
-                    "recorded_value": MockObject(value="!!", key="key"),
+                    "value": MockObject(value="!!", key="key"),
                     "name": "output_3",
                     "description": "This is a test output with a mock object.",
-                    "fmt_string": "{value}",
+                    "format": "{value}",
                 },
             ],
             test_output=[
-                ("output", "Hello, World!"),
+                ("output", "Hello, World!!!"),
                 ("output", 42),
                 ("output", MockObject(value="!!", key="key")),
             ],
@@ -274,13 +277,15 @@ class OutputBlock(Block):
         Attempts to format the recorded_value using the fmt_string if provided.
         If formatting fails or no fmt_string is given, returns the original recorded_value.
         """
-        if input_data.fmt_string:
+        if input_data.format:
             try:
-                yield "output", input_data.fmt_string.format(input_data.recorded_value)
+                fmt = re.sub(r"(?<!{){[ a-zA-Z0-9_]+}", r"{\g<0>}", input_data.format)
+                template = jinja.from_string(fmt)
+                yield "output", template.render(input_data.value)
             except Exception:
-                yield "output", input_data.recorded_value
+                yield "output", f"Error: {input_data.value}"
         else:
-            yield "output", input_data.recorded_value
+            yield "output", input_data.value
 
 
 class AddToDictionaryBlock(Block):

rnd/autogpt_server/autogpt_server/data/graph.py

@@ -9,7 +9,7 @@ from prisma.models import AgentGraph, AgentNode, AgentNodeLink
 from pydantic import BaseModel, PrivateAttr
 from pydantic_core import PydanticUndefinedType
 
-from autogpt_server.blocks.basic import InputBlock, OutputBlock
+from autogpt_server.blocks.basic import AgentInputBlock, AgentOutputBlock
 from autogpt_server.data.block import BlockInput, get_block, get_blocks
 from autogpt_server.data.db import BaseDbModel, transaction
 from autogpt_server.data.user import DEFAULT_USER_ID
@@ -106,7 +106,9 @@ class Graph(GraphMeta):
     def starting_nodes(self) -> list[Node]:
         outbound_nodes = {link.sink_id for link in self.links}
         input_nodes = {
-            v.id for v in self.nodes if isinstance(get_block(v.block_id), InputBlock)
+            v.id
+            for v in self.nodes
+            if isinstance(get_block(v.block_id), AgentInputBlock)
         }
         return [
             node
@@ -116,7 +118,9 @@ class Graph(GraphMeta):
 
     @property
     def ending_nodes(self) -> list[Node]:
-        return [v for v in self.nodes if isinstance(get_block(v.block_id), OutputBlock)]
+        return [
+            v for v in self.nodes if isinstance(get_block(v.block_id), AgentOutputBlock)
+        ]
 
     @property
     def subgraph_map(self) -> dict[str, str]:
@@ -179,7 +183,9 @@ class Graph(GraphMeta):
                 + [sanitize(link.sink_name) for link in node.input_links]
             )
             for name in block.input_schema.get_required_fields():
-                if name not in provided_inputs and not isinstance(block, InputBlock):
+                if name not in provided_inputs and not isinstance(
+                    block, AgentInputBlock
+                ):
                     raise ValueError(
                         f"Node {block.name} #{node.id} required input missing: `{name}`"
                     )
@@ -193,7 +199,7 @@ class Graph(GraphMeta):
         def is_input_output_block(nid: str) -> bool:
             bid = node_map[nid].block_id
             b = get_block(bid)
-            return isinstance(b, InputBlock) or isinstance(b, OutputBlock)
+            return isinstance(b, AgentInputBlock) or isinstance(b, AgentOutputBlock)
 
         # subgraphs: all nodes in subgraph must be present in the graph.
         for subgraph_id, node_ids in self.subgraphs.items():

rnd/autogpt_server/autogpt_server/executor/manager.py

@@ -14,7 +14,7 @@ from typing import TYPE_CHECKING, Any, Coroutine, Generator, TypeVar
 if TYPE_CHECKING:
     from autogpt_server.server.rest_api import AgentServer
 
-from autogpt_server.blocks.basic import InputBlock
+from autogpt_server.blocks.basic import AgentInputBlock
 from autogpt_server.data import db
 from autogpt_server.data.block import Block, BlockData, BlockInput, get_block
 from autogpt_server.data.execution import (
@@ -698,7 +698,7 @@ class ExecutionManager(AppService):
         nodes_input = []
         for node in graph.starting_nodes:
             input_data = {}
-            if isinstance(get_block(node.block_id), InputBlock):
+            if isinstance(get_block(node.block_id), AgentInputBlock):
                 name = node.input_default.get("name")
                 if name and name in data:
                     input_data = {"value": data[name]}

rnd/autogpt_server/autogpt_server/usecases/sample.py

@@ -1,6 +1,6 @@
 from prisma.models import User
 
-from autogpt_server.blocks.basic import InputBlock, PrintToConsoleBlock
+from autogpt_server.blocks.basic import AgentInputBlock, PrintToConsoleBlock
 from autogpt_server.blocks.text import FillTextTemplateBlock
 from autogpt_server.data import graph
 from autogpt_server.data.graph import create_graph
@@ -28,22 +28,12 @@ def create_test_graph() -> graph.Graph:
     """
     nodes = [
         graph.Node(
-            block_id=InputBlock().id,
-            input_default={
-                "name": "input_1",
-                "description": "First input value",
-                "placeholder_values": [],
-                "limit_to_placeholder_values": False,
-            },
+            block_id=AgentInputBlock().id,
+            input_default={"name": "input_1"},
         ),
         graph.Node(
-            block_id=InputBlock().id,
-            input_default={
-                "name": "input_2",
-                "description": "Second input value",
-                "placeholder_values": [],
-                "limit_to_placeholder_values": False,
-            },
+            block_id=AgentInputBlock().id,
+            input_default={"name": "input_2"},
         ),
         graph.Node(
             block_id=FillTextTemplateBlock().id,

rnd/autogpt_server/test/data/test_graph.py

@@ -2,7 +2,7 @@ from uuid import UUID
 
 import pytest
 
-from autogpt_server.blocks.basic import InputBlock, StoreValueBlock
+from autogpt_server.blocks.basic import AgentInputBlock, StoreValueBlock
 from autogpt_server.data.graph import Graph, Link, Node
 from autogpt_server.data.user import DEFAULT_USER_ID, create_default_user
 from autogpt_server.server.model import CreateGraph
@@ -25,7 +25,7 @@ async def test_graph_creation(server: SpinTestServer):
     await create_default_user("false")
 
     value_block = StoreValueBlock().id
-    input_block = InputBlock().id
+    input_block = AgentInputBlock().id
 
     graph = Graph(
         id="test_graph",